opsecsystems commited on
Commit
5436020
·
verified ·
1 Parent(s): 2532f2d

Scripts of 2026-09-29: 4 new block(s), 1817 manifest(s), 0 removed (part 4)

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. manifests/67/zenodo__19392282.json +1344 -0
  2. manifests/67/zenodo__20548808.json +291 -0
  3. manifests/68/github.com__chrisfilo__alleninf.json +93 -0
  4. manifests/68/github.com__jgraving__deepposekit.json +561 -0
  5. manifests/68/github.com__louis-erictrudeau__trudeau-lab.json +111 -0
  6. manifests/68/github.com__rexachgroup__pci_snatac.json +543 -0
  7. manifests/68/github.com__spikeinterface__spikeinterface.json +0 -0
  8. manifests/68/github.com__trendscenter__msiva.json +1326 -0
  9. manifests/69/figshare__31241707.json +21 -0
  10. manifests/69/github.com__alexmschubert__ecg-scd.json +345 -0
  11. manifests/69/github.com__macs3-project__macs.json +1020 -0
  12. manifests/69/github.com__sjcabs__fly_connectome_data_tutorial.json +174 -0
  13. manifests/69/github.com__yttrilab__b-soid.json +1047 -0
  14. manifests/69/zenodo__19233119.json +489 -0
  15. manifests/69/zenodo__20391405.json +21 -0
  16. manifests/69/zenodo__21312084.json +534 -0
  17. manifests/6a/github.com__aertslab__scenic.json +336 -0
  18. manifests/6a/github.com__danelonlab__mosaic.json +48 -0
  19. manifests/6a/github.com__jorritmontijn__zetatest.json +606 -0
  20. manifests/6a/github.com__min-wu-lab__2023-tong-et-al.json +120 -0
  21. manifests/6a/github.com__mrkn7__sustainable-science-mapping.json +75 -0
  22. manifests/6a/github.com__rauschecker-sugrue-labs__dmg-longitudinal.json +147 -0
  23. manifests/6a/github.com__rmarkello__abagen.json +462 -0
  24. manifests/6b/github.com__anneef__antools.json +30 -0
  25. manifests/6b/github.com__fordlab__d2-glun2b-paper.json +102 -0
  26. manifests/6b/github.com__xiaoxiaozhang57__evolutionary-analysis-of-m6a-in-mammals.json +102 -0
  27. manifests/6b/zenodo__16999306.json +39 -0
  28. manifests/6c/github.com__auevywtrsq__multi-chaotic-signal-identification.json +30 -0
  29. manifests/6c/github.com__bluebrain__bluepyefe.json +417 -0
  30. manifests/6c/github.com__masih4__nucleianalysis.json +1146 -0
  31. manifests/6c/github.com__scholz-lab__glowtracker.json +291 -0
  32. manifests/6c/github.com__ucl-pond__pysustain.json +183 -0
  33. manifests/6c/gitlab.com__cvejic-group__smash.json +768 -0
  34. manifests/6c/zenodo__17100377.json +21 -0
  35. manifests/6c/zenodo__18344057.json +1947 -0
  36. manifests/6c/zenodo__18676096.json +156 -0
  37. manifests/6c/zenodo__19247231.json +102 -0
  38. manifests/6c/zenodo__3555260.json +21 -0
  39. manifests/6d/github.com__ampl-psych__emc2.json +1200 -0
  40. manifests/6d/github.com__maxschebek__bgmat.json +291 -0
  41. manifests/6d/github.com__sun-lab__sdan.json +723 -0
  42. manifests/6d/zenodo__18499384.json +39 -0
  43. manifests/6d/zenodo__19483826.json +21 -0
  44. manifests/6d/zenodo__19644866.json +57 -0
  45. manifests/6d/zenodo__20583873.json +183 -0
  46. manifests/6e/github.com__diego999__pygat.json +75 -0
  47. manifests/6e/github.com__lh-cbicr__gcml.json +66 -0
  48. manifests/6e/github.com__tagel123__multi-spectral-image-classification.json +30 -0
  49. manifests/6e/zenodo__20360160.json +246 -0
  50. manifests/6f/github.com__carlson-lab__vmd-and-namd-connexin-protein-simulation-protocol.json +30 -0
manifests/67/zenodo__19392282.json ADDED
@@ -0,0 +1,1344 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:19392282",
4
+ "url": "10.5281/zenodo.19392282(concept",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "6b8608d539de3ce1055ab47cf98346e3cbe712a4319134733fd41d9290bc4dce",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1835
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "bab752cda071dafa0ad491dfa6bbb0a433770f6f061ed9549444b2c4ad51d2cf",
23
+ "language": "Text",
24
+ "lines": 305,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10790
28
+ },
29
+ {
30
+ "path": "analyses/__init__.py",
31
+ "sha256": "a0cfea9d36f6c13f1a28a978e2b698f9c9cf4f1b259d9d867abcf85a41126149",
32
+ "language": "Python",
33
+ "lines": 15,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 23799
37
+ },
38
+ {
39
+ "path": "analyses/behavioral/__init__.py",
40
+ "sha256": "bc20843cc699574250dbd50409a73e107c78a8467ca66e29c0e0e73942db283c",
41
+ "language": "Python",
42
+ "lines": 40,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 25703
46
+ },
47
+ {
48
+ "path": "analyses/behavioral/data_loading.py",
49
+ "sha256": "cd5bf1c97a628b38a3b5596a1f8e6d92da611c63f52ebc30694c6189ddd19c34",
50
+ "language": "Python",
51
+ "lines": 236,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 1895
55
+ },
56
+ {
57
+ "path": "analyses/behavioral/rdm_utils.py",
58
+ "sha256": "40fd3721050e34b5d35f4840ad7131fdd1641d2ca7b2aeb1ed432344f5ff618d",
59
+ "language": "Python",
60
+ "lines": 513,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 8176
64
+ },
65
+ {
66
+ "path": "analyses/behavioral_reliability/__init__.py",
67
+ "sha256": "fc5c15798c3919eb3a3723bd72fd6958a299d6072ea07bb4017191c0b77bc936",
68
+ "language": "Python",
69
+ "lines": 6,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 21314
73
+ },
74
+ {
75
+ "path": "analyses/behavioral_reliability/split_half_utils.py",
76
+ "sha256": "526f094859d527e3a62c4cb798274e03564c834f28b562258d8c14eeff54a15e",
77
+ "language": "Python",
78
+ "lines": 203,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 44847
82
+ },
83
+ {
84
+ "path": "analyses/eyetracking/__init__.py",
85
+ "sha256": "8ecaed03a894dac1577379f4cdc5002d5c48ff2b6e25cb042a10a04c5782084c",
86
+ "language": "Python",
87
+ "lines": 20,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 22111
91
+ },
92
+ {
93
+ "path": "analyses/eyetracking/features.py",
94
+ "sha256": "d949de811e937d4b5f581a0ea96690e45dc863e73b5368af964f239496cf8277",
95
+ "language": "Python",
96
+ "lines": 112,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 38621
100
+ },
101
+ {
102
+ "path": "analyses/eyetracking/io.py",
103
+ "sha256": "3714455f8b66670710c3cfe0330d8a19a8d4678e85b6e3f840e9a84a49447adf",
104
+ "language": "Python",
105
+ "lines": 95,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 36198
109
+ },
110
+ {
111
+ "path": "analyses/manifold/__init__.py",
112
+ "sha256": "62fb4e68dc416309db239645247d2c509e2f9c4bfafd26da8ed4eee8504c5005",
113
+ "language": "Python",
114
+ "lines": 28,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 24579
118
+ },
119
+ {
120
+ "path": "analyses/manifold/analysis.py",
121
+ "sha256": "62601311d23ddf702dc7ad17dc337e3ddda3b704133b92f598cdd6c86460e237",
122
+ "language": "Python",
123
+ "lines": 251,
124
+ "truncated": false,
125
+ "block": 7,
126
+ "row": 2134
127
+ },
128
+ {
129
+ "path": "analyses/manifold/data.py",
130
+ "sha256": "2fbdaccee99f8116f30829825c2d296de94e07dd9155adfcf9c271f475fd9033",
131
+ "language": "Python",
132
+ "lines": 242,
133
+ "truncated": false,
134
+ "block": 7,
135
+ "row": 1150
136
+ },
137
+ {
138
+ "path": "analyses/manifold/models.py",
139
+ "sha256": "2ac09bc42a679627793126164d690dba5c1690c6f3fefaf5a84d5e047a83fb64",
140
+ "language": "Python",
141
+ "lines": 379,
142
+ "truncated": false,
143
+ "block": 7,
144
+ "row": 5329
145
+ },
146
+ {
147
+ "path": "analyses/manifold/plotting.py",
148
+ "sha256": "c725b599700291d6108c889aa11db8de37c74ea35a150caec2223cdfee92b865",
149
+ "language": "Python",
150
+ "lines": 155,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 42120
154
+ },
155
+ {
156
+ "path": "analyses/manifold/pr_computation.py",
157
+ "sha256": "138c6e7c76e2de41473a4a82df63362b786275fa45827ae0ec95605bdcb019c0",
158
+ "language": "Python",
159
+ "lines": 203,
160
+ "truncated": false,
161
+ "block": 7,
162
+ "row": 185
163
+ },
164
+ {
165
+ "path": "analyses/manifold/tables.py",
166
+ "sha256": "ad5d27bd14a7190626cbfc4d7a392775ad5ed817d47b500ef869153d5210e2b0",
167
+ "language": "Python",
168
+ "lines": 174,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 43007
172
+ },
173
+ {
174
+ "path": "analyses/manifold/utils.py",
175
+ "sha256": "eec69f8069dc4a1e17e934f34f81c62ddaa1dfc48db73c9896c832e2aeae2160",
176
+ "language": "Python",
177
+ "lines": 35,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 25113
181
+ },
182
+ {
183
+ "path": "analyses/mvpa/group.py",
184
+ "sha256": "8e9662814d5b0197a93f85cb547572e350bcd936e2ec78877b5cf067d1866a4c",
185
+ "language": "Python",
186
+ "lines": 185,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 44660
190
+ },
191
+ {
192
+ "path": "analyses/mvpa/io.py",
193
+ "sha256": "9ff9eac14df80f3a682fa78e1226fd3871ebd2bfc1d3030a07d119d0fd6fae28",
194
+ "language": "Python",
195
+ "lines": 166,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 43546
199
+ },
200
+ {
201
+ "path": "analyses/mvpa/plot_utils.py",
202
+ "sha256": "93443327ad8b9fb4bf768a75b6b08b3528715301ca19ba7647ad29165b973d54",
203
+ "language": "Python",
204
+ "lines": 85,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 34293
208
+ },
209
+ {
210
+ "path": "analyses/neurosynth/glm_utils.py",
211
+ "sha256": "133573f4c3973aa1c960ca2da9daca55587d12d6a25424518ca3d03ba476f5e8",
212
+ "language": "Python",
213
+ "lines": 64,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 31969
217
+ },
218
+ {
219
+ "path": "analyses/neurosynth/io_utils.py",
220
+ "sha256": "45d237aa81733db37aa476828db3b1a1f7c646ef1cc30e0d168828602069d04f",
221
+ "language": "Python",
222
+ "lines": 188,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 43321
226
+ },
227
+ {
228
+ "path": "analyses/neurosynth/maps_utils.py",
229
+ "sha256": "0426e4672f5536eaba0b6bb36feaed73786002f1aa2fbab6808773640df0cb20",
230
+ "language": "Python",
231
+ "lines": 382,
232
+ "truncated": false,
233
+ "block": 7,
234
+ "row": 6362
235
+ },
236
+ {
237
+ "path": "analyses/neurosynth/plot_utils.py",
238
+ "sha256": "d46c756072695eade7db51194ed79993f53e34d94100f59f711109c50422e2bb",
239
+ "language": "Python",
240
+ "lines": 353,
241
+ "truncated": false,
242
+ "block": 7,
243
+ "row": 4612
244
+ },
245
+ {
246
+ "path": "analyses/neurosynth/tables.py",
247
+ "sha256": "edd554cdda1ff8d53ee1b3b90208f35f334d2e2f3f345d4387f75941e9298d9d",
248
+ "language": "Python",
249
+ "lines": 181,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 43535
253
+ },
254
+ {
255
+ "path": "analyses/rdm_intercorrelation/__init__.py",
256
+ "sha256": "98094592d13a67668c7f394e7f1205074bcd0892955dc6c13908251ef2ca044d",
257
+ "language": "Python",
258
+ "lines": 37,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 24813
262
+ },
263
+ {
264
+ "path": "analyses/rdm_intercorrelation/plotting.py",
265
+ "sha256": "2a63023ca183bff74995c900330845a92943ae24ab629056a735db23af1b43b4",
266
+ "language": "Python",
267
+ "lines": 193,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 43692
271
+ },
272
+ {
273
+ "path": "analyses/rsa_rois/__init__.py",
274
+ "sha256": "d103e0de32f3916074d9fcefa07c5ae82fff7d7897798b4b737b4bf6a73e2835",
275
+ "language": "Python",
276
+ "lines": 11,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 21117
280
+ },
281
+ {
282
+ "path": "analyses/rsa_rois/io.py",
283
+ "sha256": "664f9be642e1c1aa5e4c496ea2973fc77cef5d1ac8d67e8a16dd7ff910c05ba3",
284
+ "language": "Python",
285
+ "lines": 68,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 32860
289
+ },
290
+ {
291
+ "path": "analyses/task_engagement/io.py",
292
+ "sha256": "03188b01bcbbc117ff19ad517ef3c543dbc31914dfebda14b506e114413d6a29",
293
+ "language": "Python",
294
+ "lines": 51,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 28366
298
+ },
299
+ {
300
+ "path": "analyses/univariate_rois/__init__.py",
301
+ "sha256": "7534f6fa50d41810a125fe8cf85017680da69899c99030ae03c80ee56ba5b4f3",
302
+ "language": "Python",
303
+ "lines": 11,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 21239
307
+ },
308
+ {
309
+ "path": "analyses/univariate_rois/io.py",
310
+ "sha256": "18c505ae64fa0be29da8b8e412d781b37a4f00a8e45362e7c021b5f4757c3789",
311
+ "language": "Python",
312
+ "lines": 59,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 30144
316
+ },
317
+ {
318
+ "path": "chess-behavioral/01_behavioral_rsa_subject.py",
319
+ "sha256": "0e6f724ef9019973f165c9dac29fda04c5655ca764b44955e6bf045fa55b4982",
320
+ "language": "Python",
321
+ "lines": 177,
322
+ "truncated": false,
323
+ "block": 6,
324
+ "row": 44667
325
+ },
326
+ {
327
+ "path": "chess-behavioral/11_behavioral_rsa_group.py",
328
+ "sha256": "57ed63b5bb5a2574a125ea7c0a77cac9be68ae53810496120a2b3e8f809aee3d",
329
+ "language": "Python",
330
+ "lines": 271,
331
+ "truncated": false,
332
+ "block": 7,
333
+ "row": 2771
334
+ },
335
+ {
336
+ "path": "chess-behavioral/81_table_behavioral_correlations.py",
337
+ "sha256": "020fcda0823a51b545999b5100b33a8b864c2d73804e64b3a7cc709685faa54c",
338
+ "language": "Python",
339
+ "lines": 112,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 39742
343
+ },
344
+ {
345
+ "path": "chess-behavioral/91_plot_behavioral_panels.py",
346
+ "sha256": "cdb0dfc494499673d6156a60678edefc0bf599b714b208fbb737a1728d73a1da",
347
+ "language": "Python",
348
+ "lines": 588,
349
+ "truncated": false,
350
+ "block": 7,
351
+ "row": 10737
352
+ },
353
+ {
354
+ "path": "chess-glm/01_spm_glm_firstlevel.m",
355
+ "sha256": "210c3574019c7ba89f8c338ac805d9f39a8105edec1c9a8e432a25f4aabe286c",
356
+ "language": "MATLAB",
357
+ "lines": 140,
358
+ "truncated": false,
359
+ "block": 6,
360
+ "row": 15754
361
+ },
362
+ {
363
+ "path": "chess-glm/02_spm_second_level_within.m",
364
+ "sha256": "c14ecce9208f29fd6229dcfe0e569cbfb53ee95e7548f0134c71bd2f1bbb0ea7",
365
+ "language": "MATLAB",
366
+ "lines": 151,
367
+ "truncated": false,
368
+ "block": 6,
369
+ "row": 16028
370
+ },
371
+ {
372
+ "path": "chess-glm/03_spm_second_level_two_sample.m",
373
+ "sha256": "d6792f70fd1df2d4a9bd6f51392fb9710bd14a4f55e7f9ae8ac78ffdbd8496b3",
374
+ "language": "MATLAB",
375
+ "lines": 120,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 15023
379
+ },
380
+ {
381
+ "path": "chess-glm/modules/glm/adjust_contrasts.m",
382
+ "sha256": "c47d327c2da900eef3fd69d08c6d6eb7b8ec29233775d769cf69e605f7d13623",
383
+ "language": "MATLAB",
384
+ "lines": 36,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 7815
388
+ },
389
+ {
390
+ "path": "chess-glm/modules/glm/contrast_utils.m",
391
+ "sha256": "596695501e10df61f6c83e6399f05cc672cdb07ece500d93755ecd40eb7da284",
392
+ "language": "MATLAB",
393
+ "lines": 46,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 7792
397
+ },
398
+ {
399
+ "path": "chess-glm/modules/glm/fMRIprepConfounds2SPM.m",
400
+ "sha256": "78f2528b9acfa186ebe4faf34c8498f937083c6f19b98325830326c1ad4704f6",
401
+ "language": "MATLAB",
402
+ "lines": 118,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 14988
406
+ },
407
+ {
408
+ "path": "chess-glm/modules/glm/findSubjectsFolders.m",
409
+ "sha256": "08ed4e063f0836d9e9d227dd648457e420cb67717cb96d14f636cbb103670f5c",
410
+ "language": "MATLAB",
411
+ "lines": 26,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 7472
415
+ },
416
+ {
417
+ "path": "chess-glm/modules/glm/gunzipNiftiFile.m",
418
+ "sha256": "2926ada3a044e0662ec21b12b0fbcb22fea67c6a8233c4e096eb0da9f0fd281b",
419
+ "language": "MATLAB",
420
+ "lines": 27,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 6468
424
+ },
425
+ {
426
+ "path": "chess-glm/modules/glm/participants_utils.m",
427
+ "sha256": "1df064a0af97151c03442d8391fe66165ef2c396b2b9bdcc48f6e40fa5a1faed",
428
+ "language": "MATLAB",
429
+ "lines": 22,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 5718
433
+ },
434
+ {
435
+ "path": "chess-glm/modules/glm/smoothNiftiFile.m",
436
+ "sha256": "90247999f51bee2baecbd0205b6a74f59ad29f98cdcf51ba09bad99441d0e318",
437
+ "language": "MATLAB",
438
+ "lines": 40,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 9388
442
+ },
443
+ {
444
+ "path": "chess-glm/modules/run_subject_glm.m",
445
+ "sha256": "f24bae0379866accb1c8112aa526252419fe7f79264a18ffb257190b2e54a700",
446
+ "language": "MATLAB",
447
+ "lines": 204,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 17675
451
+ },
452
+ {
453
+ "path": "chess-manifold/01_manifold_subject.py",
454
+ "sha256": "24ec51827ce16c0190dc68b8e097500de08c8d86463e9e9098b51430f737fa57",
455
+ "language": "Python",
456
+ "lines": 185,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 44613
460
+ },
461
+ {
462
+ "path": "chess-manifold/11_manifold_group.py",
463
+ "sha256": "a3bca3c56fe044b2551ba6a19dcbf8cf8e906e867e97597e2f887fb81b28d5be",
464
+ "language": "Python",
465
+ "lines": 286,
466
+ "truncated": false,
467
+ "block": 7,
468
+ "row": 2724
469
+ },
470
+ {
471
+ "path": "chess-manifold/81_table_manifold_pr.py",
472
+ "sha256": "44bc3a9d839266499eeed9f4855338a59aef00846db0468b8690e8d29e6fe520",
473
+ "language": "Python",
474
+ "lines": 131,
475
+ "truncated": false,
476
+ "block": 6,
477
+ "row": 42404
478
+ },
479
+ {
480
+ "path": "chess-manifold/91_plot_manifold_panels.py",
481
+ "sha256": "41d9f80560c2145c318c129086c3920b41ca7dc5c0d7149b3649a734a3fb4e6e",
482
+ "language": "Python",
483
+ "lines": 650,
484
+ "truncated": false,
485
+ "block": 7,
486
+ "row": 10664
487
+ },
488
+ {
489
+ "path": "chess-mvpa/01_roi_mvpa_subject.m",
490
+ "sha256": "061c97b71cba0fc85ea27ad40d601afcec53272826a67181cfe21cd07b862ddb",
491
+ "language": "MATLAB",
492
+ "lines": 272,
493
+ "truncated": false,
494
+ "block": 6,
495
+ "row": 17754
496
+ },
497
+ {
498
+ "path": "chess-mvpa/04_searchlight_rsa.m",
499
+ "sha256": "1970bad7f779d8f0ef059427547fb7d19cf00c4e5ab339ddf68da92b28287838",
500
+ "language": "MATLAB",
501
+ "lines": 345,
502
+ "truncated": false,
503
+ "block": 6,
504
+ "row": 18284
505
+ },
506
+ {
507
+ "path": "chess-mvpa/11_mvpa_group_rsa.py",
508
+ "sha256": "8c5a5aacbcf29434ea5c3c917ea035f4e0ff05d31f04192b5fe255a1a640ecce",
509
+ "language": "Python",
510
+ "lines": 226,
511
+ "truncated": false,
512
+ "block": 7,
513
+ "row": 2349
514
+ },
515
+ {
516
+ "path": "chess-mvpa/12_mvpa_group_decoding.py",
517
+ "sha256": "d3266333ec35b859a6e26bf0b7d81bb91a44c10a59da0c2af628027450924ef2",
518
+ "language": "Python",
519
+ "lines": 233,
520
+ "truncated": false,
521
+ "block": 7,
522
+ "row": 2761
523
+ },
524
+ {
525
+ "path": "chess-mvpa/81_table_mvpa_rsa.py",
526
+ "sha256": "7ee556034f22f3297591e92cf71ed6b601602c25edce9f009bab90655658ebc0",
527
+ "language": "Python",
528
+ "lines": 256,
529
+ "truncated": false,
530
+ "block": 7,
531
+ "row": 2421
532
+ },
533
+ {
534
+ "path": "chess-mvpa/82_table_mvpa_decoding.py",
535
+ "sha256": "8f83893b1f4e773eb0a1522d1ef5d64b4710cbae245c083e0976d8e7a26ed54a",
536
+ "language": "Python",
537
+ "lines": 248,
538
+ "truncated": false,
539
+ "block": 7,
540
+ "row": 2182
541
+ },
542
+ {
543
+ "path": "chess-mvpa/91_plot_mvpa_rsa.py",
544
+ "sha256": "070ce7c0b6eeed4aec8e455ed03779ce11f5152b0e10f01321b455175937d77f",
545
+ "language": "Python",
546
+ "lines": 381,
547
+ "truncated": false,
548
+ "block": 7,
549
+ "row": 6783
550
+ },
551
+ {
552
+ "path": "chess-mvpa/92_plot_mvpa_decoding.py",
553
+ "sha256": "a151358cde4e80896edfd7ac0d6898eab5815d7efc81695a0203475fe5001245",
554
+ "language": "Python",
555
+ "lines": 388,
556
+ "truncated": false,
557
+ "block": 7,
558
+ "row": 8248
559
+ },
560
+ {
561
+ "path": "chess-neurosynth/11_univariate_neurosynth.py",
562
+ "sha256": "f9b378fb3dd1590239da46453e4cb3cd5b4631a703dd7912a956ad3114cfeb5d",
563
+ "language": "Python",
564
+ "lines": 235,
565
+ "truncated": false,
566
+ "block": 7,
567
+ "row": 2721
568
+ },
569
+ {
570
+ "path": "chess-neurosynth/12_rsa_neurosynth.py",
571
+ "sha256": "45456639355cc8e31d95194e0d8d53af6409384a4150ae82773272344650a9b6",
572
+ "language": "Python",
573
+ "lines": 277,
574
+ "truncated": false,
575
+ "block": 7,
576
+ "row": 5170
577
+ },
578
+ {
579
+ "path": "chess-neurosynth/81_table_neurosynth_univariate.py",
580
+ "sha256": "74fb59495405c800c90f31ab5fee040f026fa6a2a1c85474a29b83074ff88ea6",
581
+ "language": "Python",
582
+ "lines": 239,
583
+ "truncated": false,
584
+ "block": 7,
585
+ "row": 2786
586
+ },
587
+ {
588
+ "path": "chess-neurosynth/82_table_neurosynth_rsa.py",
589
+ "sha256": "c815c65941e21a1361d4252d0b547588d25887f2fddf5d4968d531800549c975",
590
+ "language": "Python",
591
+ "lines": 229,
592
+ "truncated": false,
593
+ "block": 7,
594
+ "row": 2278
595
+ },
596
+ {
597
+ "path": "chess-neurosynth/91_plot_neurosynth_univariate.py",
598
+ "sha256": "befb8495cfe5c021945fc0abe6d56e016b6d4a9469bada072c96379afefaf825",
599
+ "language": "Python",
600
+ "lines": 362,
601
+ "truncated": false,
602
+ "block": 7,
603
+ "row": 7773
604
+ },
605
+ {
606
+ "path": "chess-neurosynth/92_plot_neurosynth_rsa.py",
607
+ "sha256": "14ed1690110ac41b7c3318856c4c20dd9d9f734651bd2cf0d27c8f48d6654f9c",
608
+ "language": "Python",
609
+ "lines": 362,
610
+ "truncated": false,
611
+ "block": 7,
612
+ "row": 8128
613
+ },
614
+ {
615
+ "path": "chess-supplementary/behavioral-reliability/11_behavioral_split_half_reliability.py",
616
+ "sha256": "de4630dcce1eb96eb007b913f7595727ee0c085f31ee0793d7525871d3c76085",
617
+ "language": "Python",
618
+ "lines": 471,
619
+ "truncated": false,
620
+ "block": 7,
621
+ "row": 7723
622
+ },
623
+ {
624
+ "path": "chess-supplementary/behavioral-reliability/12_marginal_split_half.py",
625
+ "sha256": "1e95b57decd83b81810a56d8b0f26abc0a6a2cea0699cd209593447b4962982d",
626
+ "language": "Python",
627
+ "lines": 282,
628
+ "truncated": false,
629
+ "block": 7,
630
+ "row": 3593
631
+ },
632
+ {
633
+ "path": "chess-supplementary/behavioral-reliability/81_table_split_half_reliability.py",
634
+ "sha256": "e7cbb7c87a8ab053728a429304b3257f587c14a7cc41e9266ed97fb2c607b84d",
635
+ "language": "Python",
636
+ "lines": 169,
637
+ "truncated": false,
638
+ "block": 6,
639
+ "row": 42435
640
+ },
641
+ {
642
+ "path": "chess-supplementary/behavioral-reliability/91_plot_reliability_panels.py",
643
+ "sha256": "ed9db48cf2828b967297c2682ef499ae68b76d1dcd9c1c9e3ab6e3504936b496",
644
+ "language": "Python",
645
+ "lines": 206,
646
+ "truncated": false,
647
+ "block": 7,
648
+ "row": 2100
649
+ },
650
+ {
651
+ "path": "chess-supplementary/eyetracking/01_eye_decoding_subject.py",
652
+ "sha256": "e3ec43643f875f8ef85b7fc6170b790504848d28f4b3460bb1a5c4fa3389ecf0",
653
+ "language": "Python",
654
+ "lines": 319,
655
+ "truncated": false,
656
+ "block": 7,
657
+ "row": 4934
658
+ },
659
+ {
660
+ "path": "chess-supplementary/eyetracking/11_eye_decoding_group.py",
661
+ "sha256": "20e3244e4da60e18baf200ff05e1e6886bffabf0a022d890cf27c9184960613f",
662
+ "language": "Python",
663
+ "lines": 180,
664
+ "truncated": false,
665
+ "block": 6,
666
+ "row": 43796
667
+ },
668
+ {
669
+ "path": "chess-supplementary/eyetracking/81_table_eyetracking_decoding.py",
670
+ "sha256": "61f310b3eeaa9846b15ed839378b944871d707912fd9aed66bbec2b3e1ce25cb",
671
+ "language": "Python",
672
+ "lines": 237,
673
+ "truncated": false,
674
+ "block": 7,
675
+ "row": 2005
676
+ },
677
+ {
678
+ "path": "chess-supplementary/eyetracking/91_plot_eyetracking_decoding.py",
679
+ "sha256": "e1da8e7d3feb1cff47e1c1a964f7a8e07fa4e3c01f52b974aa3782ba667b3a29",
680
+ "language": "Python",
681
+ "lines": 271,
682
+ "truncated": false,
683
+ "block": 7,
684
+ "row": 3116
685
+ },
686
+ {
687
+ "path": "chess-supplementary/mvpa-finer/01_roi_decoding_fine.m",
688
+ "sha256": "2769155ae56cb8b1734bfdacc17e1bdd937958647ea32e1ff150b6124ec66515",
689
+ "language": "MATLAB",
690
+ "lines": 290,
691
+ "truncated": false,
692
+ "block": 6,
693
+ "row": 17950
694
+ },
695
+ {
696
+ "path": "chess-supplementary/mvpa-finer/11_mvpa_finer_group_rsa.py",
697
+ "sha256": "ebcc8c03b0bb2911f797929dac7baaac12be83b5876f3cdae71a6dcd5c23b6f5",
698
+ "language": "Python",
699
+ "lines": 108,
700
+ "truncated": false,
701
+ "block": 6,
702
+ "row": 38690
703
+ },
704
+ {
705
+ "path": "chess-supplementary/mvpa-finer/12_mvpa_finer_group_decoding.py",
706
+ "sha256": "448e8f046161a6aa5d32c86384479832dc124038ee742985290f6e8df0649397",
707
+ "language": "Python",
708
+ "lines": 164,
709
+ "truncated": false,
710
+ "block": 6,
711
+ "row": 44547
712
+ },
713
+ {
714
+ "path": "chess-supplementary/mvpa-finer/81_table_mvpa_finer_rsa.py",
715
+ "sha256": "c1b9ff9f18ea01eddb3a5353ed0c74e239f9b7f8cbafd025ecefd9e4789558c3",
716
+ "language": "Python",
717
+ "lines": 151,
718
+ "truncated": false,
719
+ "block": 6,
720
+ "row": 43361
721
+ },
722
+ {
723
+ "path": "chess-supplementary/mvpa-finer/82_table_mvpa_extended_dimensions.py",
724
+ "sha256": "84a63c62cd8104ab76e29d424fb1a1f8c457a87a956fced98b847a3e8d34d20e",
725
+ "language": "Python",
726
+ "lines": 134,
727
+ "truncated": false,
728
+ "block": 6,
729
+ "row": 42710
730
+ },
731
+ {
732
+ "path": "chess-supplementary/mvpa-finer/82_table_mvpa_finer_decoding.py",
733
+ "sha256": "87880dd4cdcfc7436fccf410b37dd85a01bbf45fa3e3d331381be6b249308b63",
734
+ "language": "Python",
735
+ "lines": 168,
736
+ "truncated": false,
737
+ "block": 6,
738
+ "row": 45491
739
+ },
740
+ {
741
+ "path": "chess-supplementary/mvpa-finer/91_plot_mvpa_finer_panel.py",
742
+ "sha256": "53d499c769dd5cdc67878fd33ded7fff9cb61e5f328824756638d78a550a10a1",
743
+ "language": "Python",
744
+ "lines": 493,
745
+ "truncated": false,
746
+ "block": 7,
747
+ "row": 9713
748
+ },
749
+ {
750
+ "path": "chess-supplementary/neurosynth-terms/91_plot_neurosynth_terms.py",
751
+ "sha256": "ab0e907f7be8d21e98599324f5ec4c10f3495129bb713c98b4aef2c06bbfff9f",
752
+ "language": "Python",
753
+ "lines": 298,
754
+ "truncated": false,
755
+ "block": 7,
756
+ "row": 7140
757
+ },
758
+ {
759
+ "path": "chess-supplementary/rdm-intercorrelation/11_rdm_intercorrelation.py",
760
+ "sha256": "35073a75bd9c5717038d6e70d2a44585513979d3efd13d63d26c40a92aebb057",
761
+ "language": "Python",
762
+ "lines": 360,
763
+ "truncated": false,
764
+ "block": 7,
765
+ "row": 6712
766
+ },
767
+ {
768
+ "path": "chess-supplementary/rdm-intercorrelation/81_table_rdm_intercorr.py",
769
+ "sha256": "dee70beba839c2658855186c5e47df5fe863dc63c787aaf547b8768de7a296e9",
770
+ "language": "Python",
771
+ "lines": 297,
772
+ "truncated": false,
773
+ "block": 7,
774
+ "row": 5792
775
+ },
776
+ {
777
+ "path": "chess-supplementary/rdm-intercorrelation/91_plot_rdm_intercorr.py",
778
+ "sha256": "a503794e8e1500e9e38a64612611ddfafc2f99078b762b5e093913e8639e2ad5",
779
+ "language": "Python",
780
+ "lines": 191,
781
+ "truncated": false,
782
+ "block": 7,
783
+ "row": 1467
784
+ },
785
+ {
786
+ "path": "chess-supplementary/rsa-rois/01_rsa_roi_subject.py",
787
+ "sha256": "59c1316345cd88df7230aad0063f4e9c8063f22243e7db0d7f7e576042739ad1",
788
+ "language": "Python",
789
+ "lines": 189,
790
+ "truncated": false,
791
+ "block": 6,
792
+ "row": 44739
793
+ },
794
+ {
795
+ "path": "chess-supplementary/rsa-rois/11_rsa_roi_group.py",
796
+ "sha256": "4b76dee9ac33d506264f5db27e2972a88aed2efc4e47f7718d5976494ad15bd7",
797
+ "language": "Python",
798
+ "lines": 196,
799
+ "truncated": false,
800
+ "block": 7,
801
+ "row": 272
802
+ },
803
+ {
804
+ "path": "chess-supplementary/rsa-rois/81_table_rsa_rois.py",
805
+ "sha256": "1d6c66dc478a9753e2c9b7ad05a5b1a213ecbfea4b8e64691e0a65aca14a1237",
806
+ "language": "Python",
807
+ "lines": 161,
808
+ "truncated": false,
809
+ "block": 6,
810
+ "row": 43754
811
+ },
812
+ {
813
+ "path": "chess-supplementary/rsa-rois/82_table_roi_maps_rsa.py",
814
+ "sha256": "58746e1d30b40d682e201acd57d8fdf5528051afb53bc044421df4d8f8d5fc61",
815
+ "language": "Python",
816
+ "lines": 267,
817
+ "truncated": false,
818
+ "block": 7,
819
+ "row": 2934
820
+ },
821
+ {
822
+ "path": "chess-supplementary/rsa-rois/91_plot_rsa_rois.py",
823
+ "sha256": "4abe77b7d3c102e271e881426143ecde8a7ce5fcfeab83ea6ceaab51a4496ce7",
824
+ "language": "Python",
825
+ "lines": 319,
826
+ "truncated": false,
827
+ "block": 7,
828
+ "row": 5437
829
+ },
830
+ {
831
+ "path": "chess-supplementary/run-matching/01_roi_rsa_run_matched.m",
832
+ "sha256": "61a437059e4c451da890f10b912087c6c8df4c854d8b8d74ab7cb790565b9875",
833
+ "language": "MATLAB",
834
+ "lines": 274,
835
+ "truncated": false,
836
+ "block": 6,
837
+ "row": 17753
838
+ },
839
+ {
840
+ "path": "chess-supplementary/run-matching/11_pr_run_matched.py",
841
+ "sha256": "27ff4c22d10da0b193d7bb32a16b81861079e71d8306ba263e10f9d6ae6df512",
842
+ "language": "Python",
843
+ "lines": 585,
844
+ "truncated": false,
845
+ "block": 7,
846
+ "row": 9660
847
+ },
848
+ {
849
+ "path": "chess-supplementary/run-matching/12_group_rsa_run_matched.py",
850
+ "sha256": "c44381f947fc892ceb2c5cd2525c7f2c4fca1aefa54655d38b2b26dbc488daa9",
851
+ "language": "Python",
852
+ "lines": 233,
853
+ "truncated": false,
854
+ "block": 7,
855
+ "row": 2317
856
+ },
857
+ {
858
+ "path": "chess-supplementary/run-matching/13_compare_run_matched.py",
859
+ "sha256": "adea720bcc0a7fc1add8fdd0b019f75bdbe48578164e3e2168e7967f55607b19",
860
+ "language": "Python",
861
+ "lines": 139,
862
+ "truncated": false,
863
+ "block": 6,
864
+ "row": 43758
865
+ },
866
+ {
867
+ "path": "chess-supplementary/run-matching/81_table_rsa_run_matched.py",
868
+ "sha256": "42ba873ea0ad1a521ba018ae61ecf099efd7004d08227a25edb852d5313f82d8",
869
+ "language": "Python",
870
+ "lines": 254,
871
+ "truncated": false,
872
+ "block": 7,
873
+ "row": 2401
874
+ },
875
+ {
876
+ "path": "chess-supplementary/run-matching/82_table_pr_run_matched.py",
877
+ "sha256": "b37ff6140bd3e7eadf095fddef80b32450cdd903ee59c462f2d8d92f52c99bd0",
878
+ "language": "Python",
879
+ "lines": 132,
880
+ "truncated": false,
881
+ "block": 6,
882
+ "row": 42530
883
+ },
884
+ {
885
+ "path": "chess-supplementary/skill-gradient/01_skill_gradient_subject.py",
886
+ "sha256": "9469d6368dd99ea09c5f069aa7db1b4ac4af80698292b1c339301f2a009b9ba2",
887
+ "language": "Python",
888
+ "lines": 173,
889
+ "truncated": false,
890
+ "block": 6,
891
+ "row": 44503
892
+ },
893
+ {
894
+ "path": "chess-supplementary/skill-gradient/11_skill_gradient_group.py",
895
+ "sha256": "8ab50f160f57e4205e659005c407de94074f368e223472c3ce7b8d3a54f9fc03",
896
+ "language": "Python",
897
+ "lines": 392,
898
+ "truncated": false,
899
+ "block": 7,
900
+ "row": 6913
901
+ },
902
+ {
903
+ "path": "chess-supplementary/skill-gradient/91_plot_skill_gradient.py",
904
+ "sha256": "7618a8cc392fb8a1a49066d44c1d08cd7a33cef270532b441c3d5d4258f1a41f",
905
+ "language": "Python",
906
+ "lines": 243,
907
+ "truncated": false,
908
+ "block": 7,
909
+ "row": 2224
910
+ },
911
+ {
912
+ "path": "chess-supplementary/skill-gradient/utils.py",
913
+ "sha256": "c70346d0b6d96e7de25b0331a9f9374ba765cb8439834e205d9748c84e76a1a2",
914
+ "language": "Python",
915
+ "lines": 66,
916
+ "truncated": false,
917
+ "block": 6,
918
+ "row": 31573
919
+ },
920
+ {
921
+ "path": "chess-supplementary/subcortical-rois/01_prepare_atlas.py",
922
+ "sha256": "4bc03c89fb0f2d053fe79ee2f5b4e89c0eeb4d2c0750701fb04d7339db5f1328",
923
+ "language": "Python",
924
+ "lines": 437,
925
+ "truncated": false,
926
+ "block": 7,
927
+ "row": 7810
928
+ },
929
+ {
930
+ "path": "chess-supplementary/subcortical-rois/11_subcortical_group_rsa.py",
931
+ "sha256": "9afe5c3690563168ccbc19f01f46673be19338a695e78d9406ecf77f930baa67",
932
+ "language": "Python",
933
+ "lines": 195,
934
+ "truncated": false,
935
+ "block": 7,
936
+ "row": 28
937
+ },
938
+ {
939
+ "path": "chess-supplementary/subcortical-rois/12_subcortical_group_decoding.py",
940
+ "sha256": "2f8c2d594c96062e9007199b086cfa81ff9dfd28c779cecfc17e0c17190c2ff8",
941
+ "language": "Python",
942
+ "lines": 145,
943
+ "truncated": false,
944
+ "block": 6,
945
+ "row": 42596
946
+ },
947
+ {
948
+ "path": "chess-supplementary/subcortical-rois/91_plot_subcortical_rsa.py",
949
+ "sha256": "67462796c70ede23b16086c64dfc312d5b129c0716bea0fc5a9e2261533ea9b1",
950
+ "language": "Python",
951
+ "lines": 164,
952
+ "truncated": false,
953
+ "block": 6,
954
+ "row": 41876
955
+ },
956
+ {
957
+ "path": "chess-supplementary/subcortical-rois/92_plot_atlas_on_mni.py",
958
+ "sha256": "82d995247ea19cbddcaccbada6ec6b84ef2ba1d07b5d6bc6250ea63c41699aca",
959
+ "language": "Python",
960
+ "lines": 246,
961
+ "truncated": false,
962
+ "block": 7,
963
+ "row": 824
964
+ },
965
+ {
966
+ "path": "chess-supplementary/subcortical-rois/93_plot_subcortical_decoding.py",
967
+ "sha256": "c15cdbfa1a4cb2cf140635cbd9fae01fbd18b885f790eace058935f310ab8dea",
968
+ "language": "Python",
969
+ "lines": 218,
970
+ "truncated": false,
971
+ "block": 7,
972
+ "row": 2098
973
+ },
974
+ {
975
+ "path": "chess-supplementary/subcortical-rois/subcortical_rsa.m",
976
+ "sha256": "74aefd9efbfc52607d448d6d3d79b59cc8f0e1845701761bf0250c6e84bbcb03",
977
+ "language": "MATLAB",
978
+ "lines": 346,
979
+ "truncated": false,
980
+ "block": 6,
981
+ "row": 18185
982
+ },
983
+ {
984
+ "path": "chess-supplementary/task-engagement/01_task_engagement_subject.py",
985
+ "sha256": "c72a0fc40fd589aa983501e5126f2a565f0d3e360729955b1d1ac3f1a0f8922c",
986
+ "language": "Python",
987
+ "lines": 397,
988
+ "truncated": false,
989
+ "block": 7,
990
+ "row": 6668
991
+ },
992
+ {
993
+ "path": "chess-supplementary/task-engagement/02_familiarisation_subject.py",
994
+ "sha256": "4adc71a9ac372f9c0846fa34e0b10953eeedb8703856921078a60baa8dbcdc40",
995
+ "language": "Python",
996
+ "lines": 247,
997
+ "truncated": false,
998
+ "block": 7,
999
+ "row": 2961
1000
+ },
1001
+ {
1002
+ "path": "chess-supplementary/task-engagement/11_task_engagement_group.py",
1003
+ "sha256": "7acb383f96f301e0f1eee8a883006d7f2d9c83a67c68d33bb0bc935e742dff26",
1004
+ "language": "Python",
1005
+ "lines": 361,
1006
+ "truncated": false,
1007
+ "block": 7,
1008
+ "row": 5943
1009
+ },
1010
+ {
1011
+ "path": "chess-supplementary/task-engagement/12_familiarisation_group.py",
1012
+ "sha256": "7a1b8721093f4bffcb2fad11e3bff57ed48d8f7a74da3b03606cf2707f81bfc4",
1013
+ "language": "Python",
1014
+ "lines": 182,
1015
+ "truncated": false,
1016
+ "block": 6,
1017
+ "row": 43208
1018
+ },
1019
+ {
1020
+ "path": "chess-supplementary/task-engagement/13_quantify_preference_drivers.py",
1021
+ "sha256": "423b0341807c55e46d59693a371beda2fc8a65e9fd9d98897c8408786b29c915",
1022
+ "language": "Python",
1023
+ "lines": 426,
1024
+ "truncated": false,
1025
+ "block": 7,
1026
+ "row": 7484
1027
+ },
1028
+ {
1029
+ "path": "chess-supplementary/task-engagement/91_plot_novice_diagnostics.py",
1030
+ "sha256": "8ba30093af43058ae2157ec86785c2ebd33e8d085bdfc89e2c2ee902b8f21469",
1031
+ "language": "Python",
1032
+ "lines": 402,
1033
+ "truncated": false,
1034
+ "block": 7,
1035
+ "row": 7191
1036
+ },
1037
+ {
1038
+ "path": "chess-supplementary/task-engagement/92_plot_preference_features.py",
1039
+ "sha256": "37fc2da0bd7a648adf26e20e35d74f048998dc8d4657a3d95ec220af25da9b77",
1040
+ "language": "Python",
1041
+ "lines": 234,
1042
+ "truncated": false,
1043
+ "block": 7,
1044
+ "row": 2089
1045
+ },
1046
+ {
1047
+ "path": "chess-supplementary/task-engagement/93_plot_gradient_panel.py",
1048
+ "sha256": "5280286f6865250e8a5e1c1eeaf6af7c6da5fb450a0d258e51f780618dc2c817",
1049
+ "language": "Python",
1050
+ "lines": 291,
1051
+ "truncated": false,
1052
+ "block": 7,
1053
+ "row": 4351
1054
+ },
1055
+ {
1056
+ "path": "chess-supplementary/univariate-rois/01_univariate_roi_subject.py",
1057
+ "sha256": "ee82f464180a0e8ce4680a6a848df977e3ca5137276bd2871d4641cadbd1c4c6",
1058
+ "language": "Python",
1059
+ "lines": 184,
1060
+ "truncated": false,
1061
+ "block": 6,
1062
+ "row": 44218
1063
+ },
1064
+ {
1065
+ "path": "chess-supplementary/univariate-rois/11_univariate_roi_group.py",
1066
+ "sha256": "5c7313b0181fe8fd90bb5f9979803b14ba579f027bbe10906e31025a8d1066bc",
1067
+ "language": "Python",
1068
+ "lines": 182,
1069
+ "truncated": false,
1070
+ "block": 6,
1071
+ "row": 45040
1072
+ },
1073
+ {
1074
+ "path": "chess-supplementary/univariate-rois/81_table_univariate_rois.py",
1075
+ "sha256": "795268103083edd58aa1e60ce0fee74f24a2cfea77754b7e604968843a9e9eb0",
1076
+ "language": "Python",
1077
+ "lines": 160,
1078
+ "truncated": false,
1079
+ "block": 6,
1080
+ "row": 44062
1081
+ },
1082
+ {
1083
+ "path": "chess-supplementary/univariate-rois/82_table_roi_maps_univ.py",
1084
+ "sha256": "10d9681d33fa98021657e13858a9ea9fd597a102645c3c46a0bab2a6f0d67fb2",
1085
+ "language": "Python",
1086
+ "lines": 91,
1087
+ "truncated": false,
1088
+ "block": 6,
1089
+ "row": 37770
1090
+ },
1091
+ {
1092
+ "path": "chess-supplementary/univariate-rois/91_plot_univariate_rois.py",
1093
+ "sha256": "016d969acb6ba47b8175570aead8ea60bfdbad47b7d08a28fca42f29fa0ad476",
1094
+ "language": "Python",
1095
+ "lines": 315,
1096
+ "truncated": false,
1097
+ "block": 7,
1098
+ "row": 5307
1099
+ },
1100
+ {
1101
+ "path": "common/__init__.py",
1102
+ "sha256": "0343977101a3c9d1f8e813b84bf5edcb67fa62f6d7f98b681cfbea18baac155b",
1103
+ "language": "Python",
1104
+ "lines": 192,
1105
+ "truncated": false,
1106
+ "block": 6,
1107
+ "row": 41267
1108
+ },
1109
+ {
1110
+ "path": "common/bids_utils.py",
1111
+ "sha256": "3cfa1606f793bca9f47e996afb5a50e2c180e5fde2b5106d182bcaa578d9224b",
1112
+ "language": "Python",
1113
+ "lines": 851,
1114
+ "truncated": false,
1115
+ "block": 7,
1116
+ "row": 10078
1117
+ },
1118
+ {
1119
+ "path": "common/chess_config.m",
1120
+ "sha256": "bea77facc356bd4902782bed8531168bcc93d1837ff5a3e86fb4506f5708e658",
1121
+ "language": "MATLAB",
1122
+ "lines": 95,
1123
+ "truncated": false,
1124
+ "block": 6,
1125
+ "row": 14600
1126
+ },
1127
+ {
1128
+ "path": "common/constants.py",
1129
+ "sha256": "267973e1674ac5ba2e6251224c1539b18cb74edf2feeb3702cf063a0cec87690",
1130
+ "language": "Python",
1131
+ "lines": 264,
1132
+ "truncated": false,
1133
+ "block": 7,
1134
+ "row": 5933
1135
+ },
1136
+ {
1137
+ "path": "common/formatters.py",
1138
+ "sha256": "dd242342d7f3d82eb2ffe44607e25cd410a3a1cd0f1fbe1df25cb94ed91d5c48",
1139
+ "language": "Python",
1140
+ "lines": 122,
1141
+ "truncated": false,
1142
+ "block": 6,
1143
+ "row": 38807
1144
+ },
1145
+ {
1146
+ "path": "common/group_stats.py",
1147
+ "sha256": "b24aa26f23d96d76435419fa6db0b3f48999cacaae80c8ae1efeb4fcbb996d24",
1148
+ "language": "Python",
1149
+ "lines": 57,
1150
+ "truncated": false,
1151
+ "block": 6,
1152
+ "row": 29565
1153
+ },
1154
+ {
1155
+ "path": "common/io_utils.py",
1156
+ "sha256": "b3450435a84d290eb1a7fca3ec4a9a32897d079b99acf939a9bae9f477d21c9a",
1157
+ "language": "Python",
1158
+ "lines": 484,
1159
+ "truncated": false,
1160
+ "block": 7,
1161
+ "row": 6423
1162
+ },
1163
+ {
1164
+ "path": "common/logging_utils.py",
1165
+ "sha256": "831dbd08ed8288c08cb35b78aac4da945a125a7258c07ce681a1989904f0ee85",
1166
+ "language": "Python",
1167
+ "lines": 479,
1168
+ "truncated": false,
1169
+ "block": 7,
1170
+ "row": 7207
1171
+ },
1172
+ {
1173
+ "path": "common/neuro_utils.py",
1174
+ "sha256": "1d0ab83d753b68121bbd21555a63c5fef64f379c4a50e1beafd6f7f961b3a619",
1175
+ "language": "Python",
1176
+ "lines": 1255,
1177
+ "truncated": false,
1178
+ "block": 7,
1179
+ "row": 11642
1180
+ },
1181
+ {
1182
+ "path": "common/plotting/__init__.py",
1183
+ "sha256": "bdc5345ef0d6bdbdf022378e8f090a9901ca467691f0091e48a682998bd70df1",
1184
+ "language": "Python",
1185
+ "lines": 155,
1186
+ "truncated": false,
1187
+ "block": 6,
1188
+ "row": 36375
1189
+ },
1190
+ {
1191
+ "path": "common/plotting/bars.py",
1192
+ "sha256": "8ec7f2be3d63f341a7227f31e9c13f5a8982384be8216a9c32f0f9cc1bb32e74",
1193
+ "language": "Python",
1194
+ "lines": 1229,
1195
+ "truncated": false,
1196
+ "block": 8,
1197
+ "row": 116
1198
+ },
1199
+ {
1200
+ "path": "common/plotting/colors.py",
1201
+ "sha256": "e4b6bedbdb9cfe5b7b1896c6a9ac39cdba840ff5ade3b77084ac96aaef761efb",
1202
+ "language": "Python",
1203
+ "lines": 205,
1204
+ "truncated": false,
1205
+ "block": 6,
1206
+ "row": 44938
1207
+ },
1208
+ {
1209
+ "path": "common/plotting/heatmaps.py",
1210
+ "sha256": "71c63cb22c17ecabd81688c9330d64f3b443f9f1c66178a74fb594c329355c90",
1211
+ "language": "Python",
1212
+ "lines": 487,
1213
+ "truncated": false,
1214
+ "block": 7,
1215
+ "row": 7082
1216
+ },
1217
+ {
1218
+ "path": "common/plotting/helpers.py",
1219
+ "sha256": "48e598560d5e3755ab025f1a69e43abecab780056f82401a8c37a4e5735cbeca",
1220
+ "language": "Python",
1221
+ "lines": 937,
1222
+ "truncated": false,
1223
+ "block": 7,
1224
+ "row": 10763
1225
+ },
1226
+ {
1227
+ "path": "common/plotting/legends.py",
1228
+ "sha256": "f2ac0412f388713b30f286ab4069505a97435a64f2b233ea2d05d1ed2ff22d55",
1229
+ "language": "Python",
1230
+ "lines": 160,
1231
+ "truncated": false,
1232
+ "block": 6,
1233
+ "row": 41947
1234
+ },
1235
+ {
1236
+ "path": "common/plotting/scatter.py",
1237
+ "sha256": "96404844a3a1421cecc2c2fc50371ce8477b1d296c7ea17591fb100442aa8897",
1238
+ "language": "Python",
1239
+ "lines": 223,
1240
+ "truncated": false,
1241
+ "block": 7,
1242
+ "row": 498
1243
+ },
1244
+ {
1245
+ "path": "common/plotting/style.py",
1246
+ "sha256": "712173de39dfa150e7d96b03ab7238290d4a87a9021cd116b82a2dad229ae914",
1247
+ "language": "Python",
1248
+ "lines": 522,
1249
+ "truncated": false,
1250
+ "block": 7,
1251
+ "row": 8736
1252
+ },
1253
+ {
1254
+ "path": "common/plotting/surfaces.py",
1255
+ "sha256": "cfdf9fded65a74281be2e498da235c1315555b687dd3ee90447481283d285b0f",
1256
+ "language": "Python",
1257
+ "lines": 1113,
1258
+ "truncated": false,
1259
+ "block": 7,
1260
+ "row": 11337
1261
+ },
1262
+ {
1263
+ "path": "common/report_utils.py",
1264
+ "sha256": "b00aa312ec3ae37a45c9b31b05e00804d31338e3284858ebc6ec902b3c087695",
1265
+ "language": "Python",
1266
+ "lines": 1180,
1267
+ "truncated": false,
1268
+ "block": 7,
1269
+ "row": 11668
1270
+ },
1271
+ {
1272
+ "path": "common/rsa_utils.py",
1273
+ "sha256": "b262d3bc6f0a2a2db72e3bbf58e15767963c43c01b81320fb53a52aea05a9ed8",
1274
+ "language": "Python",
1275
+ "lines": 373,
1276
+ "truncated": false,
1277
+ "block": 7,
1278
+ "row": 4708
1279
+ },
1280
+ {
1281
+ "path": "common/script_utils.py",
1282
+ "sha256": "48037d597f39a27929eb660524edfb8ce78e3e1a75e3d74943cbb2e103fefa61",
1283
+ "language": "Python",
1284
+ "lines": 244,
1285
+ "truncated": false,
1286
+ "block": 7,
1287
+ "row": 1937
1288
+ },
1289
+ {
1290
+ "path": "common/spm_utils.py",
1291
+ "sha256": "b26d6ecb14acd622e8eb528212b4d4a0a40ac075c1a6a3ff6fa3a9839c7e1df2",
1292
+ "language": "Python",
1293
+ "lines": 314,
1294
+ "truncated": false,
1295
+ "block": 7,
1296
+ "row": 1878
1297
+ },
1298
+ {
1299
+ "path": "common/stats_utils.py",
1300
+ "sha256": "e65eb1b65bd7f02b8f70b193d7372bf0f4f9eae4e5ca0e52c29e8596e287787b",
1301
+ "language": "Python",
1302
+ "lines": 1124,
1303
+ "truncated": false,
1304
+ "block": 7,
1305
+ "row": 11198
1306
+ },
1307
+ {
1308
+ "path": "common/table_utils.py",
1309
+ "sha256": "9a8572ab6a2f3566b7bcd1660dd571ac9041c1f29f612c4edf8119967efcad58",
1310
+ "language": "Python",
1311
+ "lines": 220,
1312
+ "truncated": false,
1313
+ "block": 6,
1314
+ "row": 44118
1315
+ },
1316
+ {
1317
+ "path": "common/tables/__init__.py",
1318
+ "sha256": "032409276a9ed9b1c389ee49b7c1f0457fc76466a8eb8674c9996c4404568cd7",
1319
+ "language": "Python",
1320
+ "lines": 19,
1321
+ "truncated": false,
1322
+ "block": 6,
1323
+ "row": 22117
1324
+ },
1325
+ {
1326
+ "path": "common/tables/style.py",
1327
+ "sha256": "d5eedbb56f508843ebdbfde022f6d193d100268e886ea2c714a6cca84b87cea5",
1328
+ "language": "Python",
1329
+ "lines": 207,
1330
+ "truncated": false,
1331
+ "block": 6,
1332
+ "row": 44493
1333
+ },
1334
+ {
1335
+ "path": "run_all_analyses.sh",
1336
+ "sha256": "d6fe964e1a8eaa1441bc909083b6d3838c7beaec96e0a533373d7a6eea9cbfd4",
1337
+ "language": "Shell",
1338
+ "lines": 371,
1339
+ "truncated": false,
1340
+ "block": 8,
1341
+ "row": 9360
1342
+ }
1343
+ ]
1344
+ }
manifests/67/zenodo__20548808.json ADDED
@@ -0,0 +1,291 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:20548808",
4
+ "url": "10.5281/zenodo.20548808",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "LGPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "e3a994d82e644b03a792a930f574002658412f62407f5fee083f2555c5f23118",
14
+ "language": "License",
15
+ "lines": 165,
16
+ "truncated": false,
17
+ "block": 3,
18
+ "row": 8137
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "3b7175886d856007ddcb33e8a5326babe931080d47c50071a6a1e56f7d8aebe6",
23
+ "language": "Text",
24
+ "lines": 244,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10637
28
+ },
29
+ {
30
+ "path": "app/hyperSIS_sampling.f90",
31
+ "sha256": "798c9053c09c557f0d103f68f264429dfebb91788efb1747a041032aebaab15e",
32
+ "language": "Fortran",
33
+ "lines": 443,
34
+ "truncated": false,
35
+ "block": 5,
36
+ "row": 10151
37
+ },
38
+ {
39
+ "path": "colab.ipynb",
40
+ "sha256": "ccd71be071358072254a8828c74d4ca7a84e77fdca941775d52950f132e84d96",
41
+ "language": "Jupyter",
42
+ "lines": 394,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 13
46
+ },
47
+ {
48
+ "path": "docs/js/svg-pan-zoom.min.js",
49
+ "sha256": "9c8fc41b3359e699990766dd7a943595d234a80c880a90dfc14b920a273b99d8",
50
+ "language": "JavaScript",
51
+ "lines": 3,
52
+ "truncated": false,
53
+ "block": 5,
54
+ "row": 15368
55
+ },
56
+ {
57
+ "path": "docs/search/load_search.js",
58
+ "sha256": "38fa8318ab82c9d609b5af3f73c0851d2a2e82e3b250776c0063f3f293c88db6",
59
+ "language": "JavaScript",
60
+ "lines": 62,
61
+ "truncated": false,
62
+ "block": 5,
63
+ "row": 14508
64
+ },
65
+ {
66
+ "path": "docs/src/common.f90",
67
+ "sha256": "6284b6863df5fb920dea52bde092854bf4c4f286df12f3d0ee5805cf77fead9e",
68
+ "language": "Fortran",
69
+ "lines": 154,
70
+ "truncated": false,
71
+ "block": 5,
72
+ "row": 10138
73
+ },
74
+ {
75
+ "path": "docs/src/dynamics.f90",
76
+ "sha256": "4266412ea16b346797cd02537809a95031e8413b066879a07f374ebf2a4bd470",
77
+ "language": "Fortran",
78
+ "lines": 8,
79
+ "truncated": false,
80
+ "block": 5,
81
+ "row": 10113
82
+ },
83
+ {
84
+ "path": "docs/src/dynamics_HB_OGA.f90",
85
+ "sha256": "3758b2dae724735e8e00ce2dacfdb06862d6044efa6fd04ea774c3b70a4c49ae",
86
+ "language": "Fortran",
87
+ "lines": 398,
88
+ "truncated": false,
89
+ "block": 5,
90
+ "row": 10148
91
+ },
92
+ {
93
+ "path": "docs/src/dynamics_NB_OGA.f90",
94
+ "sha256": "841af8e86a2f1add374326d6e5652c4b5f28337038a4aeebef6b8430107cce97",
95
+ "language": "Fortran",
96
+ "lines": 400,
97
+ "truncated": false,
98
+ "block": 5,
99
+ "row": 10149
100
+ },
101
+ {
102
+ "path": "docs/src/dynamics_base.f90",
103
+ "sha256": "9f98b824ab71b25f584934b30d1ca424b29a0887d15833ddd54c636e9dcc6082",
104
+ "language": "Fortran",
105
+ "lines": 252,
106
+ "truncated": false,
107
+ "block": 5,
108
+ "row": 10145
109
+ },
110
+ {
111
+ "path": "docs/src/dynamics_chooser.f90",
112
+ "sha256": "ccb1867fb04e1799beab7a1917915712e2262b5eb62c4a914fd55ff56c95c062",
113
+ "language": "Fortran",
114
+ "lines": 31,
115
+ "truncated": false,
116
+ "block": 5,
117
+ "row": 10121
118
+ },
119
+ {
120
+ "path": "docs/src/kinds.f90",
121
+ "sha256": "7c256c98726adab4ca0cc9fbf4d0b31e5fb9aa51544fa32cb8587249012974a4",
122
+ "language": "Fortran",
123
+ "lines": 71,
124
+ "truncated": false,
125
+ "block": 5,
126
+ "row": 10129
127
+ },
128
+ {
129
+ "path": "docs/src/network.f90",
130
+ "sha256": "f93a55f525b2d6b03f6aed24ceef03b48a5fcfb302b8702dcdfc9f7d9d51c4e9",
131
+ "language": "Fortran",
132
+ "lines": 485,
133
+ "truncated": false,
134
+ "block": 5,
135
+ "row": 10152
136
+ },
137
+ {
138
+ "path": "docs/src/network_io.f90",
139
+ "sha256": "169109aa6a3e5d05a315543895b4d82563d93b3d6e931ae2038f1ac6fd3bd216",
140
+ "language": "Fortran",
141
+ "lines": 186,
142
+ "truncated": false,
143
+ "block": 5,
144
+ "row": 10139
145
+ },
146
+ {
147
+ "path": "examples.ipynb",
148
+ "sha256": "d6210b7e2c1ab1fe39819007d0a53b1509ee23368913f3a512b61c51a45a6de0",
149
+ "language": "Jupyter",
150
+ "lines": 481,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 288
154
+ },
155
+ {
156
+ "path": "python/hyperSIS/__init__.py",
157
+ "sha256": "2da273a906c65509e086addf5e705f5629bd7e80da5ef75714a1be1e14a474cf",
158
+ "language": "Python",
159
+ "lines": 17,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 23127
163
+ },
164
+ {
165
+ "path": "python/hyperSIS/bin/hyperSIS_sampling.py",
166
+ "sha256": "e3be64f1674e2b07e5ff428acfc3d57e8d0108a7c37c11a03590a154e10e0b65",
167
+ "language": "Python",
168
+ "lines": 10,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 21835
172
+ },
173
+ {
174
+ "path": "python/hyperSIS/core.py",
175
+ "sha256": "ecdc2f20f771768303e3ffe2a49b9673cc282155125ca72cca349226892acc1e",
176
+ "language": "Python",
177
+ "lines": 130,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 40990
181
+ },
182
+ {
183
+ "path": "python/hyperSIS/io_utils.py",
184
+ "sha256": "c4d17498832bd961159d922682dca71bbeb71c0039f6d8acab7888b639f182bd",
185
+ "language": "Python",
186
+ "lines": 502,
187
+ "truncated": false,
188
+ "block": 7,
189
+ "row": 7609
190
+ },
191
+ {
192
+ "path": "python/hyperSIS/types.py",
193
+ "sha256": "023b785dd3f89eb7b0807696d47f8e087a60d6f0443062e23857108d90f1da33",
194
+ "language": "Python",
195
+ "lines": 161,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 40466
199
+ },
200
+ {
201
+ "path": "python/setup.py",
202
+ "sha256": "ec2372e4f586fc3cc847b08382b29d93321f2f5d4ec67cd3fcaadff1034f79ef",
203
+ "language": "Python",
204
+ "lines": 74,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 34039
208
+ },
209
+ {
210
+ "path": "src/dynamics/dynamics.f90",
211
+ "sha256": "4266412ea16b346797cd02537809a95031e8413b066879a07f374ebf2a4bd470",
212
+ "language": "Fortran",
213
+ "lines": 8,
214
+ "truncated": false,
215
+ "block": 5,
216
+ "row": 10113
217
+ },
218
+ {
219
+ "path": "src/dynamics/dynamics_HB_OGA.f90",
220
+ "sha256": "3758b2dae724735e8e00ce2dacfdb06862d6044efa6fd04ea774c3b70a4c49ae",
221
+ "language": "Fortran",
222
+ "lines": 398,
223
+ "truncated": false,
224
+ "block": 5,
225
+ "row": 10148
226
+ },
227
+ {
228
+ "path": "src/dynamics/dynamics_NB_OGA.f90",
229
+ "sha256": "841af8e86a2f1add374326d6e5652c4b5f28337038a4aeebef6b8430107cce97",
230
+ "language": "Fortran",
231
+ "lines": 400,
232
+ "truncated": false,
233
+ "block": 5,
234
+ "row": 10149
235
+ },
236
+ {
237
+ "path": "src/dynamics/dynamics_base.f90",
238
+ "sha256": "9f98b824ab71b25f584934b30d1ca424b29a0887d15833ddd54c636e9dcc6082",
239
+ "language": "Fortran",
240
+ "lines": 252,
241
+ "truncated": false,
242
+ "block": 5,
243
+ "row": 10145
244
+ },
245
+ {
246
+ "path": "src/dynamics/dynamics_chooser.f90",
247
+ "sha256": "ccb1867fb04e1799beab7a1917915712e2262b5eb62c4a914fd55ff56c95c062",
248
+ "language": "Fortran",
249
+ "lines": 31,
250
+ "truncated": false,
251
+ "block": 5,
252
+ "row": 10121
253
+ },
254
+ {
255
+ "path": "src/kinds.f90",
256
+ "sha256": "7c256c98726adab4ca0cc9fbf4d0b31e5fb9aa51544fa32cb8587249012974a4",
257
+ "language": "Fortran",
258
+ "lines": 71,
259
+ "truncated": false,
260
+ "block": 5,
261
+ "row": 10129
262
+ },
263
+ {
264
+ "path": "src/network/network.f90",
265
+ "sha256": "f93a55f525b2d6b03f6aed24ceef03b48a5fcfb302b8702dcdfc9f7d9d51c4e9",
266
+ "language": "Fortran",
267
+ "lines": 485,
268
+ "truncated": false,
269
+ "block": 5,
270
+ "row": 10152
271
+ },
272
+ {
273
+ "path": "src/network/network_io.f90",
274
+ "sha256": "169109aa6a3e5d05a315543895b4d82563d93b3d6e931ae2038f1ac6fd3bd216",
275
+ "language": "Fortran",
276
+ "lines": 186,
277
+ "truncated": false,
278
+ "block": 5,
279
+ "row": 10139
280
+ },
281
+ {
282
+ "path": "src/program/common.f90",
283
+ "sha256": "6284b6863df5fb920dea52bde092854bf4c4f286df12f3d0ee5805cf77fead9e",
284
+ "language": "Fortran",
285
+ "lines": 154,
286
+ "truncated": false,
287
+ "block": 5,
288
+ "row": 10138
289
+ }
290
+ ]
291
+ }
manifests/68/github.com__chrisfilo__alleninf.json ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/chrisfilo/alleninf",
4
+ "url": "https://github.com/chrisfilo/alleninf",
5
+ "host": "github.com",
6
+ "commit": "bc6c8f41f84e420b2d0009ae207eced0f5324017",
7
+ "license": "BSD-3-Clause",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "fe277cc4e9c0d3a48a641a4ed5b9647b68962c1f0cbb321d81530a11733fe28e",
14
+ "language": "License",
15
+ "lines": 29,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1993
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "a945fa74099d006e151766cc0c60efa053a66d84596001111c57bcdc303236ef",
23
+ "language": "Text",
24
+ "lines": 89,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10291
28
+ },
29
+ {
30
+ "path": "alleninf/analysis.py",
31
+ "sha256": "b57b9584ec4926aff13f7a84dc73f2d841142baf055c3ae6ac25128e93244188",
32
+ "language": "Python",
33
+ "lines": 97,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 40640
37
+ },
38
+ {
39
+ "path": "alleninf/api.py",
40
+ "sha256": "e2719c990d80e3c48519283f29bde6201ffa55b1665686d94d7f16658cd7cc78",
41
+ "language": "Python",
42
+ "lines": 99,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 38043
46
+ },
47
+ {
48
+ "path": "alleninf/data.py",
49
+ "sha256": "9ac73fed1c1e3dcc82f142ac422512e26e2cf24b2be72c005bd8722e2aa58391",
50
+ "language": "Python",
51
+ "lines": 86,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 37791
55
+ },
56
+ {
57
+ "path": "alleninf/datasets.py",
58
+ "sha256": "38a9cabfbe8b0a674544924cb9f05edf82d9f6c9531f57d074d518f592062c5f",
59
+ "language": "Python",
60
+ "lines": 563,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 7902
64
+ },
65
+ {
66
+ "path": "alleninf/scripts.py",
67
+ "sha256": "88b2418772e12f9db71c88dca0bc95caad3a681d52832ea951995ad4a8c20f35",
68
+ "language": "Python",
69
+ "lines": 111,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 42689
73
+ },
74
+ {
75
+ "path": "alleninf/utils.py",
76
+ "sha256": "ba0f53e7be49726bbad305af0c1a8c8f1b79dbad64b4cfccfa78ce3190f10139",
77
+ "language": "Python",
78
+ "lines": 34,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 29049
82
+ },
83
+ {
84
+ "path": "setup.py",
85
+ "sha256": "89fe14cb28c7cbf57933390953c457c9fb2c463a1b4e4ed144933c4579b93e60",
86
+ "language": "Python",
87
+ "lines": 81,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 35295
91
+ }
92
+ ]
93
+ }
manifests/68/github.com__jgraving__deepposekit.json ADDED
@@ -0,0 +1,561 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/jgraving/deepposekit",
4
+ "url": "https://github.com/jgraving/DeepPoseKit",
5
+ "host": "github.com",
6
+ "commit": "cecdb0c8c364ea049a3b705275ae71a2f366d4da",
7
+ "license": "Apache-2.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
14
+ "language": "License",
15
+ "lines": 201,
16
+ "truncated": false,
17
+ "block": 1,
18
+ "row": 2216
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "401dbf8fa08152f917ba90a3c6aaa0e9b9ef599f27d967f90df40011bebd7296",
23
+ "language": "Text",
24
+ "lines": 158,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10757
28
+ },
29
+ {
30
+ "path": "deepposekit/__init__.py",
31
+ "sha256": "7ae6a06f588082f4fc9b75ea573f0ebe0bc29c2eb9e99a0acd8dc062b3f749b8",
32
+ "language": "Python",
33
+ "lines": 31,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 26262
37
+ },
38
+ {
39
+ "path": "deepposekit/annotate/KMeansSampler.py",
40
+ "sha256": "16971582830337340393458efd11bbe11a6d44b0af93be75f0ed90ae26775a57",
41
+ "language": "Python",
42
+ "lines": 164,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 42636
46
+ },
47
+ {
48
+ "path": "deepposekit/annotate/__init__.py",
49
+ "sha256": "c8801267c025871602ba096443db29e4aa59191beef95961a44715ed8b5be987",
50
+ "language": "Python",
51
+ "lines": 21,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 24661
55
+ },
56
+ {
57
+ "path": "deepposekit/annotate/gui/Annotator.py",
58
+ "sha256": "d2e2413cd2e622877e569dbecec3c44ca4f814192fa04e2f11d8e5196c864300",
59
+ "language": "Python",
60
+ "lines": 333,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 4027
64
+ },
65
+ {
66
+ "path": "deepposekit/annotate/gui/GUI.py",
67
+ "sha256": "875b7f6320f34d9f3c354854d73cb95ba5112123ad10bef1ecdeb29c88d1a139",
68
+ "language": "Python",
69
+ "lines": 661,
70
+ "truncated": false,
71
+ "block": 7,
72
+ "row": 9210
73
+ },
74
+ {
75
+ "path": "deepposekit/annotate/gui/Skeleton.py",
76
+ "sha256": "a14c581b2b38202e54b0a1a0f559c1a43f2ae3c6a7c176d8c109bd5e3dd4a4dd",
77
+ "language": "Python",
78
+ "lines": 137,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 39808
82
+ },
83
+ {
84
+ "path": "deepposekit/annotate/gui/__init__.py",
85
+ "sha256": "97b9870fbf76a254bf044ee57dac14e56b9fdf9a36b8ce989375ef9699dd2641",
86
+ "language": "Python",
87
+ "lines": 19,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 24333
91
+ },
92
+ {
93
+ "path": "deepposekit/annotate/utils/__init__.py",
94
+ "sha256": "77fd060a0cda3594c9b43cd1b5d24e1146204e320b23031c01fd57ef34a02930",
95
+ "language": "Python",
96
+ "lines": 16,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 23692
100
+ },
101
+ {
102
+ "path": "deepposekit/annotate/utils/hotkeys.py",
103
+ "sha256": "a298d4db2837e62f27f402ba196ca4b6ca0dbac2bfd975c2b8ddcb45a528b503",
104
+ "language": "Python",
105
+ "lines": 44,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 25397
109
+ },
110
+ {
111
+ "path": "deepposekit/annotate/utils/image.py",
112
+ "sha256": "af6ee2564feb4fdb0ca05fc981f2c69c36eed850f539693d9ba2c28afe99ea95",
113
+ "language": "Python",
114
+ "lines": 32,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 25954
118
+ },
119
+ {
120
+ "path": "deepposekit/augment/FlipAxis.py",
121
+ "sha256": "94efddd5a02dad2abe3b1ecc9ae01dc218bcfb2e06cd84b1ecc0234c92ae1474",
122
+ "language": "Python",
123
+ "lines": 118,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 39858
127
+ },
128
+ {
129
+ "path": "deepposekit/augment/__init__.py",
130
+ "sha256": "fa39e44ded1d34604ffe352935ef40558b9edf398b0c59edd4711169d78ccf7b",
131
+ "language": "Python",
132
+ "lines": 18,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 24005
136
+ },
137
+ {
138
+ "path": "deepposekit/callbacks.py",
139
+ "sha256": "1fdc85b30baf6f417c53c4810dd6c7db070d3ac29909fbd11f9c013618a92a81",
140
+ "language": "Python",
141
+ "lines": 267,
142
+ "truncated": false,
143
+ "block": 7,
144
+ "row": 2880
145
+ },
146
+ {
147
+ "path": "deepposekit/io/BaseGenerator.py",
148
+ "sha256": "c27ff7398f8e906bd4e8da7a37ecb034c63649e6d986d5d39b0c3831708bfa49",
149
+ "language": "Python",
150
+ "lines": 179,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 42399
154
+ },
155
+ {
156
+ "path": "deepposekit/io/DLCDataGenerator.py",
157
+ "sha256": "3231ce7c4df29b9ca487534e3f2a4b4531bb4fae273cd5b5ac1556b0ced1868d",
158
+ "language": "Python",
159
+ "lines": 102,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 37046
163
+ },
164
+ {
165
+ "path": "deepposekit/io/DataGenerator.py",
166
+ "sha256": "87e18b89b78a0260cf8577357598549e228eed4b1a3ee0379cc6cc41424c3eb6",
167
+ "language": "Python",
168
+ "lines": 170,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 44135
172
+ },
173
+ {
174
+ "path": "deepposekit/io/ImageGenerator.py",
175
+ "sha256": "d8acafc63dfda2c430429ea98b086908ddea1b4744b540f571a750e7f8ed495a",
176
+ "language": "Python",
177
+ "lines": 61,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 32844
181
+ },
182
+ {
183
+ "path": "deepposekit/io/TrainingGenerator.py",
184
+ "sha256": "b882a2b42cea60d1bd6c55af0fcfb15e3f038f2452d9bbe42eaca12f97c2dbe7",
185
+ "language": "Python",
186
+ "lines": 332,
187
+ "truncated": false,
188
+ "block": 7,
189
+ "row": 5125
190
+ },
191
+ {
192
+ "path": "deepposekit/io/__init__.py",
193
+ "sha256": "12c45a4bbff251673fed6a906d207916985d061c90cf3e41bce878f5de8acef8",
194
+ "language": "Python",
195
+ "lines": 26,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 25763
199
+ },
200
+ {
201
+ "path": "deepposekit/io/utils.py",
202
+ "sha256": "6796bd9e51dcc4f1c42581d63ded6d157f64c628c412e5d5df35e9b526417f0f",
203
+ "language": "Python",
204
+ "lines": 310,
205
+ "truncated": false,
206
+ "block": 7,
207
+ "row": 4032
208
+ },
209
+ {
210
+ "path": "deepposekit/io/video.py",
211
+ "sha256": "6a60b849ec9d03a98115e402212a0db5641134f3fb58060bf20d6ef274ed1e87",
212
+ "language": "Python",
213
+ "lines": 191,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 41949
217
+ },
218
+ {
219
+ "path": "deepposekit/models/DeepLabCut.py",
220
+ "sha256": "2b1e01f79efbb3011b7f620db3ff9bb08452152b301eb780d014461ee1621bef",
221
+ "language": "Python",
222
+ "lines": 165,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 44057
226
+ },
227
+ {
228
+ "path": "deepposekit/models/LEAP.py",
229
+ "sha256": "885d8d1b33329f40844841b8f6a88633f57e2edc16e24673b306190515c78d10",
230
+ "language": "Python",
231
+ "lines": 211,
232
+ "truncated": false,
233
+ "block": 7,
234
+ "row": 666
235
+ },
236
+ {
237
+ "path": "deepposekit/models/StackedDenseNet.py",
238
+ "sha256": "72c4d7fb2f4bdc6f4dec0ef3cc87be1b40d698197c93126b2fb37f1ec23593fa",
239
+ "language": "Python",
240
+ "lines": 234,
241
+ "truncated": false,
242
+ "block": 7,
243
+ "row": 3343
244
+ },
245
+ {
246
+ "path": "deepposekit/models/StackedHourglass.py",
247
+ "sha256": "d311edcdfb3841438b98c5db97b3d5ddfa3e8bd34d06a54103f7ca231e21db96",
248
+ "language": "Python",
249
+ "lines": 157,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 44264
253
+ },
254
+ {
255
+ "path": "deepposekit/models/__init__.py",
256
+ "sha256": "a54d5304ca15dc664a9fecbf5c832ad190a6f111aa8d3d3d89a0c82f5ab7eeeb",
257
+ "language": "Python",
258
+ "lines": 24,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 25495
262
+ },
263
+ {
264
+ "path": "deepposekit/models/backend/__init__.py",
265
+ "sha256": "77fd060a0cda3594c9b43cd1b5d24e1146204e320b23031c01fd57ef34a02930",
266
+ "language": "Python",
267
+ "lines": 16,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 23692
271
+ },
272
+ {
273
+ "path": "deepposekit/models/backend/backend.py",
274
+ "sha256": "a1b953b3415ad563412f48e3b3d88be93d247f34819615f3eb9d39263074b237",
275
+ "language": "Python",
276
+ "lines": 283,
277
+ "truncated": false,
278
+ "block": 7,
279
+ "row": 2179
280
+ },
281
+ {
282
+ "path": "deepposekit/models/backend/registration.py",
283
+ "sha256": "786472a927ef12286cceb036726ea711aeffbd04ac0f51d16dbcbdf13e3d15fc",
284
+ "language": "Python",
285
+ "lines": 173,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 44785
289
+ },
290
+ {
291
+ "path": "deepposekit/models/backend/utils.py",
292
+ "sha256": "5892e5689cccfd8530a9e4764b1d123210ad58cc7cfcb31c8eda34372b1b7b17",
293
+ "language": "Python",
294
+ "lines": 106,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 34425
298
+ },
299
+ {
300
+ "path": "deepposekit/models/engine.py",
301
+ "sha256": "0b3980a5161df9bb4f7534b2a4d10f05e80133b53721d1c93d4520ab67e3825b",
302
+ "language": "Python",
303
+ "lines": 241,
304
+ "truncated": false,
305
+ "block": 7,
306
+ "row": 1892
307
+ },
308
+ {
309
+ "path": "deepposekit/models/layers/__init__.py",
310
+ "sha256": "9fc568ad63d5e94e2f3fe73b3802af846f30b662030be69af629517ce40305b6",
311
+ "language": "Python",
312
+ "lines": 20,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 24528
316
+ },
317
+ {
318
+ "path": "deepposekit/models/layers/convolutional.py",
319
+ "sha256": "fab625ce1ae3f3ddcee1b1b7012d0aae42da6a1f16e83c74f71c0187f1554a6b",
320
+ "language": "Python",
321
+ "lines": 261,
322
+ "truncated": false,
323
+ "block": 7,
324
+ "row": 3396
325
+ },
326
+ {
327
+ "path": "deepposekit/models/layers/deeplabcut.py",
328
+ "sha256": "2a6b8646a172f6ef0b68c74a6f4ae9ce5c78b9ac39915cf8c8514e9d28c07aa4",
329
+ "language": "Python",
330
+ "lines": 176,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 44160
334
+ },
335
+ {
336
+ "path": "deepposekit/models/layers/densenet.py",
337
+ "sha256": "a66dd2aaf8c97126f85de51532b38fca30e5496fd8af0b64a57c44cf03e561fd",
338
+ "language": "Python",
339
+ "lines": 406,
340
+ "truncated": false,
341
+ "block": 7,
342
+ "row": 5736
343
+ },
344
+ {
345
+ "path": "deepposekit/models/layers/hourglass.py",
346
+ "sha256": "46e36f3833ace8decff114d60a6a8050ef64871c50a91897d605d9d4984d2392",
347
+ "language": "Python",
348
+ "lines": 263,
349
+ "truncated": false,
350
+ "block": 7,
351
+ "row": 1282
352
+ },
353
+ {
354
+ "path": "deepposekit/models/layers/imagenet_densenet.py",
355
+ "sha256": "80fc2d6e201a7219b1ab2624a85e19011764d6d27a9283a44700cae000ae7fd2",
356
+ "language": "Python",
357
+ "lines": 402,
358
+ "truncated": false,
359
+ "block": 7,
360
+ "row": 5697
361
+ },
362
+ {
363
+ "path": "deepposekit/models/layers/imagenet_mobile.py",
364
+ "sha256": "d469fd993f8b85213b2ee15ecefd1af1aaf833ac0b1e9c6960d80af94f26d69d",
365
+ "language": "Python",
366
+ "lines": 534,
367
+ "truncated": false,
368
+ "block": 7,
369
+ "row": 8560
370
+ },
371
+ {
372
+ "path": "deepposekit/models/layers/imagenet_resnet.py",
373
+ "sha256": "21b568bb75dd0a7117460e43e3161ca29f0f89d786afa2cdf7684aded69352fa",
374
+ "language": "Python",
375
+ "lines": 386,
376
+ "truncated": false,
377
+ "block": 7,
378
+ "row": 4582
379
+ },
380
+ {
381
+ "path": "deepposekit/models/layers/imagenet_utils.py",
382
+ "sha256": "38eb54bb39ee478cfe70817625576dd1b1115d60ab90ac13c5d1cc099b52db74",
383
+ "language": "Python",
384
+ "lines": 340,
385
+ "truncated": false,
386
+ "block": 7,
387
+ "row": 5384
388
+ },
389
+ {
390
+ "path": "deepposekit/models/layers/imagenet_xception.py",
391
+ "sha256": "a03bc618d0c8d7d62371342210660f72254de1a8b0c42283709f8bae0e60025d",
392
+ "language": "Python",
393
+ "lines": 348,
394
+ "truncated": false,
395
+ "block": 7,
396
+ "row": 5249
397
+ },
398
+ {
399
+ "path": "deepposekit/models/layers/leap.py",
400
+ "sha256": "84e93fea78fa7fc98b06450cc2f14c4d09c525fa06013e40f8f2720d4450834f",
401
+ "language": "Python",
402
+ "lines": 108,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 36509
406
+ },
407
+ {
408
+ "path": "deepposekit/models/layers/squeeze_excitation.py",
409
+ "sha256": "a94ce5246a5ac876a7d3080ab6918fa33f5c8e8e9645956250381c62e138c938",
410
+ "language": "Python",
411
+ "lines": 74,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 32724
415
+ },
416
+ {
417
+ "path": "deepposekit/models/layers/subpixel.py",
418
+ "sha256": "77f415585ad615881871b38876acd90ccb8456c630c24784be2b297ac3016e0a",
419
+ "language": "Python",
420
+ "lines": 111,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 39457
424
+ },
425
+ {
426
+ "path": "deepposekit/models/layers/util.py",
427
+ "sha256": "96d67d699f10afaeaab1366e0fe644244da16054fcbce96dde50f01f30fc1abc",
428
+ "language": "Python",
429
+ "lines": 40,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 28267
433
+ },
434
+ {
435
+ "path": "deepposekit/models/loading.py",
436
+ "sha256": "604f3fa0f4a66225b3d243e04afd613045dda085ef083a1730d673fa56a5bd7e",
437
+ "language": "Python",
438
+ "lines": 133,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 40190
442
+ },
443
+ {
444
+ "path": "deepposekit/models/saving.py",
445
+ "sha256": "f590faeb1e20eaad20102f3ea9bba4d605534ae5369b951889d6ef6546ac4b19",
446
+ "language": "Python",
447
+ "lines": 49,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 30269
451
+ },
452
+ {
453
+ "path": "deepposekit/utils/__init__.py",
454
+ "sha256": "2e2afc071538fe0b512981e3f64412b5f0dc34df1b2563dac981075b0c0cac6a",
455
+ "language": "Python",
456
+ "lines": 20,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 24311
460
+ },
461
+ {
462
+ "path": "deepposekit/utils/image.py",
463
+ "sha256": "94e0378e0f44648059041e55fdc0beccad0f472193cbda0be6f02527095a28b9",
464
+ "language": "Python",
465
+ "lines": 43,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 26841
469
+ },
470
+ {
471
+ "path": "deepposekit/utils/io.py",
472
+ "sha256": "d34b1a5b5d2e4fff792e1ca0e5bc202e9f78bcac6d52d1225fecc8ede15d7506",
473
+ "language": "Python",
474
+ "lines": 48,
475
+ "truncated": false,
476
+ "block": 6,
477
+ "row": 29948
478
+ },
479
+ {
480
+ "path": "deepposekit/utils/keypoints.py",
481
+ "sha256": "fafe92e62e4301459710ced977b123ad680b4db637adf780d0921e62647417f7",
482
+ "language": "Python",
483
+ "lines": 195,
484
+ "truncated": false,
485
+ "block": 6,
486
+ "row": 44071
487
+ },
488
+ {
489
+ "path": "examples/custom_data_generator.ipynb",
490
+ "sha256": "0ad3f5807d31f820f764f98a4c23eb09913fc8dc54fd90e9892b7c25ad9c20b6",
491
+ "language": "Jupyter",
492
+ "lines": 242,
493
+ "truncated": false,
494
+ "block": 5,
495
+ "row": 17563
496
+ },
497
+ {
498
+ "path": "examples/deeplabcut_data_example.ipynb",
499
+ "sha256": "0a2c9dd267a79e6c6a31c7e02cc04413e8e2b54fca6f36cc394841b91fa3eecd",
500
+ "language": "Jupyter",
501
+ "lines": 378,
502
+ "truncated": false,
503
+ "block": 6,
504
+ "row": 503
505
+ },
506
+ {
507
+ "path": "examples/step1_create_annotation_set.ipynb",
508
+ "sha256": "d9a2bd5ae484af27a0372d0944ee2c5fdbb8a60e9c13a2983e330a47a009f4db",
509
+ "language": "Jupyter",
510
+ "lines": 173,
511
+ "truncated": false,
512
+ "block": 5,
513
+ "row": 17094
514
+ },
515
+ {
516
+ "path": "examples/step2_annotate_data.ipynb",
517
+ "sha256": "cb0ad074e52900c04cbe90a761b78002b27951db88109dfe0588f7769f78d0d7",
518
+ "language": "Jupyter",
519
+ "lines": 55,
520
+ "truncated": false,
521
+ "block": 5,
522
+ "row": 16274
523
+ },
524
+ {
525
+ "path": "examples/step3_train_model.ipynb",
526
+ "sha256": "635a0109e99660e94ac8fa5e3f1e63e295b8aa7f7b4882e6c23890093a5a724a",
527
+ "language": "Jupyter",
528
+ "lines": 342,
529
+ "truncated": false,
530
+ "block": 6,
531
+ "row": 377
532
+ },
533
+ {
534
+ "path": "examples/step4a_initialize_annotations.ipynb",
535
+ "sha256": "4994505a284a8614353cf819963a252c5acc141390b764ce4e2e31458d101f9a",
536
+ "language": "Jupyter",
537
+ "lines": 122,
538
+ "truncated": false,
539
+ "block": 5,
540
+ "row": 16664
541
+ },
542
+ {
543
+ "path": "examples/step4b_predict_new_data.ipynb",
544
+ "sha256": "573a88b7c9e62e6e90187e4cf857e0832e0c176fc1691d43a15db1e6601e2c10",
545
+ "language": "Jupyter",
546
+ "lines": 318,
547
+ "truncated": false,
548
+ "block": 5,
549
+ "row": 17684
550
+ },
551
+ {
552
+ "path": "setup.py",
553
+ "sha256": "918c3d0731f10f8b567d27aa65ea51cd4aaa7b19a62bb9e05965cd692ecbffc4",
554
+ "language": "Python",
555
+ "lines": 67,
556
+ "truncated": false,
557
+ "block": 6,
558
+ "row": 32284
559
+ }
560
+ ]
561
+ }
manifests/68/github.com__louis-erictrudeau__trudeau-lab.json ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/louis-erictrudeau/trudeau-lab",
4
+ "url": "https://github.com/Louis-EricTrudeau/Trudeau-lab/tree/main/Mukherjee-2026",
5
+ "host": "github.com",
6
+ "commit": "b2d1ac0f24c21f434ed3d740397fcb46fd218838",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "9207533ea68f25edcb59d262975358020d6b4e214fbc6a0b3a823970187daf6d",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1749
19
+ },
20
+ {
21
+ "path": "Mukherjee-2026/Iba1/1. Iba1 count compilation.py",
22
+ "sha256": "75db0c59953065a6806e995f43ba6eeaeb2597b9482204efd59a599f4b658763",
23
+ "language": "Python",
24
+ "lines": 72,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 39287
28
+ },
29
+ {
30
+ "path": "Mukherjee-2026/Iba1/2. Iba1 arborisation compilation.py",
31
+ "sha256": "1aa6b2f112cdea951bb767357c1ba83f04ba64e342dd878f7a14e705063bbabe",
32
+ "language": "Python",
33
+ "lines": 46,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 32705
37
+ },
38
+ {
39
+ "path": "Mukherjee-2026/MRI/Statistics/Script.py",
40
+ "sha256": "8307066f5ed5648e28ba4990d6b2126eb2bdfa0410fa5bac212cfe3379fa2061",
41
+ "language": "Python",
42
+ "lines": 144,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 43668
46
+ },
47
+ {
48
+ "path": "Mukherjee-2026/MRI/mass_recon.py",
49
+ "sha256": "f545e1828001b441669f37aa006c278f490bad0868dda2fb594169c1c28dad83",
50
+ "language": "Python",
51
+ "lines": 108,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 38375
55
+ },
56
+ {
57
+ "path": "Mukherjee-2026/MRI/rarevtr_pipeline.py",
58
+ "sha256": "0cccf1dfa33855f00e4920c9d128e836a613908acffce86f72800747a239c713",
59
+ "language": "Python",
60
+ "lines": 226,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 9849
64
+ },
65
+ {
66
+ "path": "Mukherjee-2026/MRI/rarevtr_roi_analysis.m",
67
+ "sha256": "d81a08dc95812997c22b3451e7cdf631d0b26aadf65fb36a96db26bb4bb57521",
68
+ "language": "MATLAB",
69
+ "lines": 685,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 19231
73
+ },
74
+ {
75
+ "path": "Mukherjee-2026/MRI/rarevtr_t1fit.m",
76
+ "sha256": "37c40e96d83a8e105d71b072f5c742eb94f7108a701dcbc399f882a664aae1c9",
77
+ "language": "MATLAB",
78
+ "lines": 86,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 12937
82
+ },
83
+ {
84
+ "path": "Mukherjee-2026/MRI/stat_analysis_all_cohorts.m",
85
+ "sha256": "acfbdff1de4fc6f6d2cb593a8adec94139d6866d39572a93bc84f62d047bae62",
86
+ "language": "MATLAB",
87
+ "lines": 84,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 12798
91
+ },
92
+ {
93
+ "path": "Mukherjee-2026/TH DAT/TH DAT compile.py",
94
+ "sha256": "cb885cc94ee5ea2fecb5e2a60425a1423f331fff326ca29815f065aed6faa8e9",
95
+ "language": "Python",
96
+ "lines": 55,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 37335
100
+ },
101
+ {
102
+ "path": "README.md",
103
+ "sha256": "4cae0960e58d94dfa6e2fdc710caff8d92f3cb67ba136f2e113d26e30a20642a",
104
+ "language": "Text",
105
+ "lines": 2,
106
+ "truncated": false,
107
+ "block": 8,
108
+ "row": 9465
109
+ }
110
+ ]
111
+ }
manifests/68/github.com__rexachgroup__pci_snatac.json ADDED
@@ -0,0 +1,543 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/rexachgroup/pci_snatac",
4
+ "url": "https://github.com/rexachgroup/pci_snATAC",
5
+ "host": "github.com",
6
+ "commit": "b0c4b07c14516724845f30e16a1983d55ff5c489",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "e80923722b7d74d60d0e33148006ed955bbf039056363c7ce872a98545f9ee58",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1388
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "37b6f7655d2065d401e18223916ba7ca8b61af04fb47a07c92097a8efde0cf16",
23
+ "language": "Text",
24
+ "lines": 187,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10249
28
+ },
29
+ {
30
+ "path": "code/00_archrproject/01.qc.R",
31
+ "sha256": "1ac0d124c9465628c5bc4c181e2d68805c85b91a14ca11fbe3506c96d37dffad",
32
+ "language": "R",
33
+ "lines": 100,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 2667
37
+ },
38
+ {
39
+ "path": "code/00_archrproject/02.makeProject.R",
40
+ "sha256": "6d432fac3bd42ee8a561880b3866a917cd4df3e434318662efa8947ada4aa135",
41
+ "language": "R",
42
+ "lines": 118,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 3015
46
+ },
47
+ {
48
+ "path": "code/00_archrproject/03.umap_callpeak.R",
49
+ "sha256": "9af4cddc3726b840e7b6a13033f74148412224c2f965873e497a826e11c0c9b0",
50
+ "language": "R",
51
+ "lines": 50,
52
+ "truncated": false,
53
+ "block": 8,
54
+ "row": 1875
55
+ },
56
+ {
57
+ "path": "code/00_archrproject/04.subset_to_define_subtype.R",
58
+ "sha256": "1c3c0d8289637fa4c601848b1cb23011a81afbe1aa31f33ca0c53b08067e002d",
59
+ "language": "R",
60
+ "lines": 123,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 2918
64
+ },
65
+ {
66
+ "path": "code/10_regulatory_element/11.subC_cA.R",
67
+ "sha256": "62e46a10aa3a876ce578a1819c42a101c5c02043384b83b502ea41ce19eea6e9",
68
+ "language": "R",
69
+ "lines": 83,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 2350
73
+ },
74
+ {
75
+ "path": "code/10_regulatory_element/12.subC_peak2gene.R",
76
+ "sha256": "35f7722b65cc60f42feab99615558f8af1ee6458fb8020afe4d9cae9704c1bf0",
77
+ "language": "R",
78
+ "lines": 91,
79
+ "truncated": false,
80
+ "block": 8,
81
+ "row": 2341
82
+ },
83
+ {
84
+ "path": "code/10_regulatory_element/13.get.CAs_subG.R",
85
+ "sha256": "84549683571a6d4e5ec6f9faf893fb7c8ba195cbe03bcf148bee1a9ddf5ce7d8",
86
+ "language": "R",
87
+ "lines": 194,
88
+ "truncated": false,
89
+ "block": 8,
90
+ "row": 3729
91
+ },
92
+ {
93
+ "path": "code/10_regulatory_element/14.get.P2G_subG.R",
94
+ "sha256": "9f92a509e8b45fc4197cbff3467026fabc5e87bb2b6f3aeb0428ea9ab3e97c9d",
95
+ "language": "R",
96
+ "lines": 335,
97
+ "truncated": false,
98
+ "block": 8,
99
+ "row": 4465
100
+ },
101
+ {
102
+ "path": "code/10_regulatory_element/15.classify.PEG.R",
103
+ "sha256": "cafc39528fbc5f73881ea6a6ecfa291551b28335c17c4cb2ca5e2d702ada76fe",
104
+ "language": "R",
105
+ "lines": 307,
106
+ "truncated": false,
107
+ "block": 8,
108
+ "row": 4335
109
+ },
110
+ {
111
+ "path": "code/10_regulatory_element/16.ValidateCRE.R",
112
+ "sha256": "eaa9b05ad8c3c8f1ab0de0e083b98e102d896f3098a3ac4b58c6a3dc36691a1d",
113
+ "language": "R",
114
+ "lines": 854,
115
+ "truncated": false,
116
+ "block": 8,
117
+ "row": 4973
118
+ },
119
+ {
120
+ "path": "code/20_dar_dgs/21.DAR_byRegion_celltype_discovery.R",
121
+ "sha256": "b1fb5f7393e2c36ff93d11f9a26f966550855c7e152b6e6194c5377ff13c62c2",
122
+ "language": "R",
123
+ "lines": 70,
124
+ "truncated": false,
125
+ "block": 8,
126
+ "row": 2175
127
+ },
128
+ {
129
+ "path": "code/20_dar_dgs/22.DAR_byRegion_celltype_downsample.R",
130
+ "sha256": "eba4fc1565f3f3d6594ad378f2eef9d08fa30a22ffd191938c390e0c0d84ca7c",
131
+ "language": "R",
132
+ "lines": 102,
133
+ "truncated": false,
134
+ "block": 8,
135
+ "row": 2673
136
+ },
137
+ {
138
+ "path": "code/20_dar_dgs/23.subC_markerPeaks.R",
139
+ "sha256": "161adf91a076c0c62f11b594dd0fc1520201288c937d36aa2ef67fc702e59931",
140
+ "language": "R",
141
+ "lines": 43,
142
+ "truncated": false,
143
+ "block": 8,
144
+ "row": 1817
145
+ },
146
+ {
147
+ "path": "code/20_dar_dgs/24.DifferentialGeneScores.R",
148
+ "sha256": "bf6c0a66bce61d41511732e942f97fd7b5af62d63194b727246aa831ad364aa8",
149
+ "language": "R",
150
+ "lines": 287,
151
+ "truncated": false,
152
+ "block": 8,
153
+ "row": 4185
154
+ },
155
+ {
156
+ "path": "code/30_dynamicpeaks/31.dynamic_peaks_disease.R",
157
+ "sha256": "4be1c0ca4f4c16364b1d9e9728fb4a5709daf18c1327e623e755e2577ab360c8",
158
+ "language": "R",
159
+ "lines": 52,
160
+ "truncated": false,
161
+ "block": 8,
162
+ "row": 2045
163
+ },
164
+ {
165
+ "path": "code/30_dynamicpeaks/32.dynamic_peaks_w_PSPGWASsnps_3types.R",
166
+ "sha256": "9f9307e08fb602af7bd9d2b6420faac9d297517eb19ee672c82f1b8c2d5dcf19",
167
+ "language": "R",
168
+ "lines": 126,
169
+ "truncated": false,
170
+ "block": 8,
171
+ "row": 3112
172
+ },
173
+ {
174
+ "path": "code/40_ldsc/41.extract_clusterSpecificPeak_for_LDSC.R",
175
+ "sha256": "14b0312f52e5e4fd9b756de6ed4a9e14d5ac43f299e273f31b30b88f5c6a27fd",
176
+ "language": "R",
177
+ "lines": 85,
178
+ "truncated": false,
179
+ "block": 8,
180
+ "row": 2461
181
+ },
182
+ {
183
+ "path": "code/40_ldsc/42.batch.make_annot.sh",
184
+ "sha256": "23c86b99c6f759834659ef5172e5040dc1d43b6d8fb9198dd7928572e18aa64f",
185
+ "language": "Shell",
186
+ "lines": 25,
187
+ "truncated": false,
188
+ "block": 8,
189
+ "row": 7062
190
+ },
191
+ {
192
+ "path": "code/40_ldsc/43.batch.compute_LDscore.sh",
193
+ "sha256": "9c731306c5afff0ed1568fb6075204817f2dc5e0ceaf01bd3e11a2784dbd6583",
194
+ "language": "Shell",
195
+ "lines": 23,
196
+ "truncated": false,
197
+ "block": 8,
198
+ "row": 7274
199
+ },
200
+ {
201
+ "path": "code/40_ldsc/44.batch.partition_h2.sh",
202
+ "sha256": "45538bf2544df0824731a76d41b4633174d31fb58ea7f1ed691cf6443d036d38",
203
+ "language": "Shell",
204
+ "lines": 54,
205
+ "truncated": false,
206
+ "block": 8,
207
+ "row": 8201
208
+ },
209
+ {
210
+ "path": "code/40_ldsc/45.analyze_h2Out_stauc.R",
211
+ "sha256": "fe99d73af8c5da3eba8a2dcb879508c2fd926c9dc1dab6a317432f8a31c419ff",
212
+ "language": "R",
213
+ "lines": 226,
214
+ "truncated": false,
215
+ "block": 8,
216
+ "row": 3980
217
+ },
218
+ {
219
+ "path": "code/50_MPRA_eQTL/02.Plink_LDblock.sh",
220
+ "sha256": "7125124e986fab4d9dad81e8793f49545a95ef821e8a8014ffa3cae1d43725ad",
221
+ "language": "Shell",
222
+ "lines": 13,
223
+ "truncated": false,
224
+ "block": 8,
225
+ "row": 6692
226
+ },
227
+ {
228
+ "path": "code/50_MPRA_eQTL/03.Plink_calLD_r2.sh",
229
+ "sha256": "c5228e21170a531149543ab7a9255e67f4d7fd9763790a88c22c99ae7b6f7c07",
230
+ "language": "Shell",
231
+ "lines": 16,
232
+ "truncated": false,
233
+ "block": 8,
234
+ "row": 6842
235
+ },
236
+ {
237
+ "path": "code/50_MPRA_eQTL/04.CREs_TFBS_FIMO.R",
238
+ "sha256": "34f57b0c0b20010436e7183f8a7470cfa728d79db5c7d952458857d96a1db20e",
239
+ "language": "R",
240
+ "lines": 64,
241
+ "truncated": false,
242
+ "block": 8,
243
+ "row": 2248
244
+ },
245
+ {
246
+ "path": "code/50_MPRA_eQTL/51.MPRA_raw_fishertest.R",
247
+ "sha256": "8c331b9c99bd69fb8ea5877023be10de888d686035c0b30c56a6229fd6fae9a9",
248
+ "language": "R",
249
+ "lines": 185,
250
+ "truncated": false,
251
+ "block": 8,
252
+ "row": 3742
253
+ },
254
+ {
255
+ "path": "code/50_MPRA_eQTL/52_MPRA_raw_in_genes.R",
256
+ "sha256": "3430b0d26d4c614ecf6e3cca507bdb750970bd834e9677ac3ae7adb8ef3d7445",
257
+ "language": "R",
258
+ "lines": 74,
259
+ "truncated": false,
260
+ "block": 8,
261
+ "row": 2310
262
+ },
263
+ {
264
+ "path": "code/50_MPRA_eQTL/53.MPRA_effect_distri.R",
265
+ "sha256": "5fa1efb9a71c448ea82f625ed48afaeaebd19e430371462becfe00acf3d44556",
266
+ "language": "R",
267
+ "lines": 117,
268
+ "truncated": false,
269
+ "block": 8,
270
+ "row": 3171
271
+ },
272
+ {
273
+ "path": "code/50_MPRA_eQTL/54.MPRA_fsVar_peak_distri.R",
274
+ "sha256": "faf95a58d13533610327cbbc8707c9822b5707062b86bec26af6b2ea9629891d",
275
+ "language": "R",
276
+ "lines": 95,
277
+ "truncated": false,
278
+ "block": 8,
279
+ "row": 2842
280
+ },
281
+ {
282
+ "path": "code/50_MPRA_eQTL/55.CREs_w_frVar_Module-subC.R",
283
+ "sha256": "b9d74ad3edc9aac2ab4a0233c423ab1db43c8400df2a352f841858f186c815c6",
284
+ "language": "R",
285
+ "lines": 342,
286
+ "truncated": false,
287
+ "block": 8,
288
+ "row": 4432
289
+ },
290
+ {
291
+ "path": "code/50_MPRA_eQTL/56.MPRA_frVar_motif_discover.R",
292
+ "sha256": "e40a4f9467f22b457a09f0d6b7a0ad47e569631897a21002009efa6c0978acc7",
293
+ "language": "R",
294
+ "lines": 86,
295
+ "truncated": false,
296
+ "block": 8,
297
+ "row": 2510
298
+ },
299
+ {
300
+ "path": "code/50_MPRA_eQTL/57.QTL_cal_fishertest_eGene_match.R",
301
+ "sha256": "d95a24d78788ece57613d87129a40b5e5c1a6dd3ccc7f2dec0c3ea464daa84ba",
302
+ "language": "R",
303
+ "lines": 186,
304
+ "truncated": false,
305
+ "block": 8,
306
+ "row": 3846
307
+ },
308
+ {
309
+ "path": "code/60_TFBS_TOBIAS/00.get_subc_barcodes.R",
310
+ "sha256": "dfe5b311b0baa6b796b4d04f1f5218b31b22151720dd4aed27ed3cb942d9ba3a",
311
+ "language": "R",
312
+ "lines": 51,
313
+ "truncated": false,
314
+ "block": 8,
315
+ "row": 2179
316
+ },
317
+ {
318
+ "path": "code/60_TFBS_TOBIAS/01.Bam_to_Sam_86samples.sh",
319
+ "sha256": "7a5999bb92c34588c5e7aa6576d67c3133574aaf106d8fc9291d658a8cb78e45",
320
+ "language": "Shell",
321
+ "lines": 17,
322
+ "truncated": false,
323
+ "block": 8,
324
+ "row": 6886
325
+ },
326
+ {
327
+ "path": "code/60_TFBS_TOBIAS/02.Filter_Bam_perSubC_perSample.sh",
328
+ "sha256": "3cb0f874e39bbf158316914621b41c2125f56d3e5e70ed8d4b8d22dcfabaa1d4",
329
+ "language": "Shell",
330
+ "lines": 33,
331
+ "truncated": false,
332
+ "block": 8,
333
+ "row": 7920
334
+ },
335
+ {
336
+ "path": "code/60_TFBS_TOBIAS/03.Merge_Bam.sh",
337
+ "sha256": "71c1da4c837682f81e42cf9184e324bf5c87dc0101f110958bcbbe4a630fe173",
338
+ "language": "Shell",
339
+ "lines": 12,
340
+ "truncated": false,
341
+ "block": 8,
342
+ "row": 6779
343
+ },
344
+ {
345
+ "path": "code/60_TFBS_TOBIAS/04.TOBIAS_ATACorrect.sh",
346
+ "sha256": "1edc53ebb429d267932bc6c40013ceb908a36f5ea638e237878c1ddf70f3fdf2",
347
+ "language": "Shell",
348
+ "lines": 27,
349
+ "truncated": false,
350
+ "block": 8,
351
+ "row": 7210
352
+ },
353
+ {
354
+ "path": "code/60_TFBS_TOBIAS/05.TOBIAS_footprint.sh",
355
+ "sha256": "8b5b9a6f9c596b39ef7dd7bc2d8049af8a50e0a72741239ee503188cd55e11f2",
356
+ "language": "Shell",
357
+ "lines": 20,
358
+ "truncated": false,
359
+ "block": 8,
360
+ "row": 7226
361
+ },
362
+ {
363
+ "path": "code/60_TFBS_TOBIAS/06.TOBIAS_BINDetect.sh",
364
+ "sha256": "d4e177eb0dcb1b50454540a352d83f6ea304fb93b3b0b32bbcf0a85bc74e5e70",
365
+ "language": "Shell",
366
+ "lines": 20,
367
+ "truncated": false,
368
+ "block": 8,
369
+ "row": 7283
370
+ },
371
+ {
372
+ "path": "code/60_TFBS_TOBIAS/meme.R",
373
+ "sha256": "e5e811d5dd0cdfc62722eef46344b8edd3458fc5af997d582b1db5a1408383c2",
374
+ "language": "R",
375
+ "lines": 22,
376
+ "truncated": false,
377
+ "block": 8,
378
+ "row": 1482
379
+ },
380
+ {
381
+ "path": "code/70_sn3mc_allcools/71.loop_mcds.py",
382
+ "sha256": "a63c7fdbf915d552b28919955c99eaa11b4252c86ada092910ef6bbed5d67626",
383
+ "language": "Python",
384
+ "lines": 34,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 25275
388
+ },
389
+ {
390
+ "path": "code/70_sn3mc_allcools/72.extract_mcds.py",
391
+ "sha256": "6ae234b070aa144c46a7866ae6718f6b346df9e0cf525cf3f048ace5b6b981eb",
392
+ "language": "Python",
393
+ "lines": 22,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 23350
397
+ },
398
+ {
399
+ "path": "code/70_sn3mc_allcools/73.allcools_region.sh",
400
+ "sha256": "e280abd25bd365a036ce58358d9de587e6b11c52486a5795b8ee75f0241df995",
401
+ "language": "Shell",
402
+ "lines": 34,
403
+ "truncated": false,
404
+ "block": 8,
405
+ "row": 7363
406
+ },
407
+ {
408
+ "path": "code/70_sn3mc_allcools/74.allcools_generate_dataset.sh",
409
+ "sha256": "7897426504cac87ce8ee0f7e4c9a5e0f75e51915c3c75b1adb1c39f03a3d312f",
410
+ "language": "Shell",
411
+ "lines": 21,
412
+ "truncated": false,
413
+ "block": 8,
414
+ "row": 7181
415
+ },
416
+ {
417
+ "path": "code/70_sn3mc_allcools/75.sbatchPermute.R",
418
+ "sha256": "09b275b016728bc0d11061ac07433a9fcf7ef03e4aacdb3d6024f2dba97d1e25",
419
+ "language": "R",
420
+ "lines": 108,
421
+ "truncated": false,
422
+ "block": 8,
423
+ "row": 2985
424
+ },
425
+ {
426
+ "path": "code/70_sn3mc_allcools/76.Permutation_byGroup.R",
427
+ "sha256": "8dcd59fd4b5a4109a73dd1ad556d0180b247d20c6872613370c910e7d176a2b9",
428
+ "language": "R",
429
+ "lines": 155,
430
+ "truncated": false,
431
+ "block": 8,
432
+ "row": 3307
433
+ },
434
+ {
435
+ "path": "code/80_cellphoneDB/80.DownloadDB.py",
436
+ "sha256": "c2511681de270b2b83803ca88861d251970663bdbdf8440ce3628f981d7508ca",
437
+ "language": "Python",
438
+ "lines": 15,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 21922
442
+ },
443
+ {
444
+ "path": "code/80_cellphoneDB/81.DEG_seurat.R",
445
+ "sha256": "cf797a9d600e8e363af1e766dc5847c2ff6ee5903594b62dcb2d8723cdb2c856",
446
+ "language": "R",
447
+ "lines": 151,
448
+ "truncated": false,
449
+ "block": 8,
450
+ "row": 3405
451
+ },
452
+ {
453
+ "path": "code/80_cellphoneDB/82.Run_statistical_analysis.py",
454
+ "sha256": "d70e685affc6aef62870bd0af936e8ab07684aa90d16ba9a0921e953fc6ec2c4",
455
+ "language": "Python",
456
+ "lines": 48,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 35168
460
+ },
461
+ {
462
+ "path": "code/80_cellphoneDB/83.Run_deg_analysis.py",
463
+ "sha256": "1f41eea377223551e00d17510db11c420bd5f615ad230d1df60db203d493c353",
464
+ "language": "Python",
465
+ "lines": 54,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 33817
469
+ },
470
+ {
471
+ "path": "code/80_cellphoneDB/84.sumNb_degCCI_subC.R",
472
+ "sha256": "04ef89e42462cd757a52b2b293b5b5381313ee5ac3486a66b79605488a78e8a6",
473
+ "language": "R",
474
+ "lines": 193,
475
+ "truncated": false,
476
+ "block": 8,
477
+ "row": 3955
478
+ },
479
+ {
480
+ "path": "code/90_topic_modeling_variant_linked_CREs_microglia/91.extract_PeakMat.R",
481
+ "sha256": "f82efa56070f5eb9309457ff5e7a1478438fcbfa4eb693c54a5369ac880919dd",
482
+ "language": "R",
483
+ "lines": 36,
484
+ "truncated": false,
485
+ "block": 8,
486
+ "row": 1887
487
+ },
488
+ {
489
+ "path": "code/90_topic_modeling_variant_linked_CREs_microglia/92.extract_CREset_w_SNPs.R",
490
+ "sha256": "c2b38cd38c76056efafcb0565b9e329ffa84c9223f0b4582db910c458f820c94",
491
+ "language": "R",
492
+ "lines": 121,
493
+ "truncated": false,
494
+ "block": 8,
495
+ "row": 3165
496
+ },
497
+ {
498
+ "path": "code/90_topic_modeling_variant_linked_CREs_microglia/93.run_cisTopic.R",
499
+ "sha256": "8fa4b997756be18dfb01e067429fb14236ab277cca5d395f82bbf2b65cb449d3",
500
+ "language": "R",
501
+ "lines": 85,
502
+ "truncated": false,
503
+ "block": 8,
504
+ "row": 2418
505
+ },
506
+ {
507
+ "path": "code/90_topic_modeling_variant_linked_CREs_microglia/94.topics_plot_TF_enrichR.R",
508
+ "sha256": "f148897d2eaff5f2fc1dda34c1d2fbf7488aff69ed91b95ec22ef06eff276c28",
509
+ "language": "R",
510
+ "lines": 397,
511
+ "truncated": false,
512
+ "block": 8,
513
+ "row": 4493
514
+ },
515
+ {
516
+ "path": "code/90_topic_modeling_variant_linked_CREs_microglia/95.sum_topicst_snps-ADgwas.R",
517
+ "sha256": "f7b614ee1bd5f6050825c0387e93c44a7b6b325c1af32dc109f9e046f9951d49",
518
+ "language": "R",
519
+ "lines": 275,
520
+ "truncated": false,
521
+ "block": 8,
522
+ "row": 4162
523
+ },
524
+ {
525
+ "path": "code/90_topic_modeling_variant_linked_CREs_microglia/95.sum_topicst_snps-FTDgwas.R",
526
+ "sha256": "0e3071c381e0f8dc1a324741550f32d3d61630a2cd8faa18adbd8eb47748fef8",
527
+ "language": "R",
528
+ "lines": 341,
529
+ "truncated": false,
530
+ "block": 8,
531
+ "row": 4394
532
+ },
533
+ {
534
+ "path": "code/90_topic_modeling_variant_linked_CREs_microglia/96.topics_refine_by_frVar.R",
535
+ "sha256": "40a0a709791fa419524af61c80a40f002e108847c3dcde57624a1202a6182171",
536
+ "language": "R",
537
+ "lines": 86,
538
+ "truncated": false,
539
+ "block": 8,
540
+ "row": 2560
541
+ }
542
+ ]
543
+ }
manifests/68/github.com__spikeinterface__spikeinterface.json ADDED
The diff for this file is too large to render. See raw diff
 
manifests/68/github.com__trendscenter__msiva.json ADDED
@@ -0,0 +1,1326 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/trendscenter/msiva",
4
+ "url": "https://github.com/trendscenter/MSIVA",
5
+ "host": "github.com",
6
+ "commit": "4126a6f9db37b123b703c463cb017bd5f3288820",
7
+ "license": "Apache-2.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "@MISAK/IVAfy.m",
13
+ "sha256": "a88f7196956607c7de1a485995e188963773234926af0fdddd4e32ddcd27f5b7",
14
+ "language": "MATLAB",
15
+ "lines": 15,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 2889
19
+ },
20
+ {
21
+ "path": "@MISAK/MISAK.m",
22
+ "sha256": "ed6c77b06c283207b99c4a39b5dd6c904d79054c03a002f7f736a95595bcd52e",
23
+ "language": "MATLAB",
24
+ "lines": 122,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 15984
28
+ },
29
+ {
30
+ "path": "@MISAK/MISI.m",
31
+ "sha256": "f57d742823b546b548a8c0ed6ecc52c0944707ff6f35621044a675f251a9c330",
32
+ "language": "MATLAB",
33
+ "lines": 12,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 2677
37
+ },
38
+ {
39
+ "path": "@MISAK/MMD.m",
40
+ "sha256": "172d7cc5dccf859209e7776f887c1602a8238fed31ba1edd0cad9f8f31ff8911",
41
+ "language": "MATLAB",
42
+ "lines": 5,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 2211
46
+ },
47
+ {
48
+ "path": "@MISAK/MMSE.m",
49
+ "sha256": "1b7be7c12a4fae54eef9ee4bb712678139f0dbfc8c3f36197ce50dd0095efb9e",
50
+ "language": "MATLAB",
51
+ "lines": 5,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 2218
55
+ },
56
+ {
57
+ "path": "@MISAK/auto_tune.m",
58
+ "sha256": "da42b68c97836fa138e1674b970fad93c2910aaeb40dd6bc849c6fac3565dacd",
59
+ "language": "MATLAB",
60
+ "lines": 69,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 12756
64
+ },
65
+ {
66
+ "path": "@MISAK/combinatorial_optim.m",
67
+ "sha256": "0447ec7b4fa061f9928139fab2b602beadf3e0481288d4e44c100e60b831e555",
68
+ "language": "MATLAB",
69
+ "lines": 24,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 4488
73
+ },
74
+ {
75
+ "path": "@MISAK/greedy_sub_perm_analysis.m",
76
+ "sha256": "f8f2d563c0a69bc82d6f69abe412418b91b37ea8fa9efd7c8b3ebfd336d26a2e",
77
+ "language": "MATLAB",
78
+ "lines": 98,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 12314
82
+ },
83
+ {
84
+ "path": "@MISAK/greedysearch.m",
85
+ "sha256": "f30193c958ea176f7a6a0136c18533aed7932f860d8c147eaa504c5ea813e28c",
86
+ "language": "MATLAB",
87
+ "lines": 219,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 17388
91
+ },
92
+ {
93
+ "path": "@MISAK/greedysearch_flex.m",
94
+ "sha256": "6439dc83f6fd4880e60d2c8ad406c75e2026d711f7d8e77ef6ddcf262531d002",
95
+ "language": "MATLAB",
96
+ "lines": 237,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 17548
100
+ },
101
+ {
102
+ "path": "@MISAK/greedysearch_iva.m",
103
+ "sha256": "803eef65721e087dda48df6ce6b681a03cbde9c9a59a27d30f40440010471616",
104
+ "language": "MATLAB",
105
+ "lines": 223,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 17358
109
+ },
110
+ {
111
+ "path": "@MISAK/objective.m",
112
+ "sha256": "6580f931689d4d0706d9886b282c0344cb6754f9641881f82de5246c647ce84b",
113
+ "language": "MATLAB",
114
+ "lines": 23,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 3709
118
+ },
119
+ {
120
+ "path": "@MISAK/objective_.m",
121
+ "sha256": "5b16d414b88eb9a8ca6398ce003868739cf40cbf706677e29b4a311339beb149",
122
+ "language": "MATLAB",
123
+ "lines": 227,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 16871
127
+ },
128
+ {
129
+ "path": "@MISAK/objective_sc_.m",
130
+ "sha256": "76a345cbe65af195c029f1fde26b7485cdb5bb538cfdac130c361b5eaf9c4f4d",
131
+ "language": "MATLAB",
132
+ "lines": 206,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 16473
136
+ },
137
+ {
138
+ "path": "@MISAK/stackW.m",
139
+ "sha256": "ee35951743868567df32d0b39c3a4ca2fa069c12023562c4b77b15862316d289",
140
+ "language": "MATLAB",
141
+ "lines": 7,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 2343
145
+ },
146
+ {
147
+ "path": "@MISAK/sub_perm_analysis.m",
148
+ "sha256": "fd2880a618e12ee01d131df4298058fc86235157f133e06bdc5bed8a494a6dd6",
149
+ "language": "MATLAB",
150
+ "lines": 122,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 14456
154
+ },
155
+ {
156
+ "path": "@MISAK/unstackW.m",
157
+ "sha256": "f9211be1cc54bc134b438b4a2b1eb28b246a7ec3216a29ea805d616a7985386e",
158
+ "language": "MATLAB",
159
+ "lines": 14,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 4282
163
+ },
164
+ {
165
+ "path": "@MISAK/update.m",
166
+ "sha256": "b258a8e5316fa796a88e9d1c732846e228fa094fd73c79494b6f26174b324c44",
167
+ "language": "MATLAB",
168
+ "lines": 33,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 4620
172
+ },
173
+ {
174
+ "path": "@MISAK/updateCS.m",
175
+ "sha256": "d5b0ce9a2081cbb46b3a04f2ffcd27913e7757f0bd7c154db12925fe667aa2c0",
176
+ "language": "MATLAB",
177
+ "lines": 59,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 8865
181
+ },
182
+ {
183
+ "path": "@MISAK/updategradtype.m",
184
+ "sha256": "a5406b647d473a0bd1bf7114150dd364abdb947db9aa6c2be39d30ded1e97014",
185
+ "language": "MATLAB",
186
+ "lines": 17,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 3177
190
+ },
191
+ {
192
+ "path": "@MISAK/updatesc.m",
193
+ "sha256": "85c04e8e2a9cb796bca18d00857b0a8232feb6b0a9579961f719d27443eafbf2",
194
+ "language": "MATLAB",
195
+ "lines": 9,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 2282
199
+ },
200
+ {
201
+ "path": "@MISAKRE/MISAKRE.m",
202
+ "sha256": "f92d009e1143baef3c74656382d596c2a56dcb87ea8d09fca5764fcb05c7539a",
203
+ "language": "MATLAB",
204
+ "lines": 49,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 8477
208
+ },
209
+ {
210
+ "path": "@MISAKRE/RE_.m",
211
+ "sha256": "557908cff3d79df012238752e9af2c65b833fe0727167bc09383a2cae8522d34",
212
+ "language": "MATLAB",
213
+ "lines": 143,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 16449
217
+ },
218
+ {
219
+ "path": "@MISAKRE/con_RE.m",
220
+ "sha256": "6c08ffe033f528b08e7bb0a5fdfaae87804cca2539ff6e4f847a62b084cf548f",
221
+ "language": "MATLAB",
222
+ "lines": 123,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 14492
226
+ },
227
+ {
228
+ "path": "@MISAKRE/opt_RE.m",
229
+ "sha256": "3557c75df56322ec339fcd65f915d3e0bebfca9298882ca4f87ded02f897fbae",
230
+ "language": "MATLAB",
231
+ "lines": 118,
232
+ "truncated": false,
233
+ "block": 6,
234
+ "row": 13490
235
+ },
236
+ {
237
+ "path": "@MISAKRE/orthY.m",
238
+ "sha256": "cb56358ad56401080b601617fd96c980de470e06b62f25e12c9d9725cef4aa9e",
239
+ "language": "MATLAB",
240
+ "lines": 10,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 2569
244
+ },
245
+ {
246
+ "path": "@MISAKRE/reg_RE.m",
247
+ "sha256": "e8b894540602ff11b9ace0ba34672dc6ecba47468838c00084ea151b363c57ad",
248
+ "language": "MATLAB",
249
+ "lines": 18,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 4130
253
+ },
254
+ {
255
+ "path": "@MISAKRE/setREapproach.m",
256
+ "sha256": "02fa79c24c311a3feb9631363d620ba6801c81e6fd8e9754d1da4c650f550eb7",
257
+ "language": "MATLAB",
258
+ "lines": 17,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 3264
262
+ },
263
+ {
264
+ "path": "@MISAKRE/setREref.m",
265
+ "sha256": "cce03e964d431b8f70773ac655225dfe1ccb39647aa7edd0a366fb1671b1b7ac",
266
+ "language": "MATLAB",
267
+ "lines": 140,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 15797
271
+ },
272
+ {
273
+ "path": "@MISAKRE/setREtype.m",
274
+ "sha256": "30c919ecdbc8d7ddda3a4bc8c746d5ff328f115a69ef5404e22a0786f3ad0ba6",
275
+ "language": "MATLAB",
276
+ "lines": 14,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 2815
280
+ },
281
+ {
282
+ "path": "@MISAKRE/updateRElambda.m",
283
+ "sha256": "b00d4445960fbd135ba49a6ec4d07f3d9290c4f7b913c8126844d18daf385d19",
284
+ "language": "MATLAB",
285
+ "lines": 5,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 2209
289
+ },
290
+ {
291
+ "path": "@MISAKRE/updateREreflambda.m",
292
+ "sha256": "eb4cda15c0d851b3c061346a5b584a1e4f04db87dc0c113bdaf7a7ff1f188c45",
293
+ "language": "MATLAB",
294
+ "lines": 5,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 2220
298
+ },
299
+ {
300
+ "path": "@gsd/genX.m",
301
+ "sha256": "d88caa86a5b4c13d28e2732184cb80cb4531ebf700e4cc8a8559d9acd53f20aa",
302
+ "language": "MATLAB",
303
+ "lines": 5,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 2277
307
+ },
308
+ {
309
+ "path": "@gsd/gsd.m",
310
+ "sha256": "48d40562caf1e0d5541f01680d4e8bded6c8ad753b856359d2e4abd62adb1215",
311
+ "language": "MATLAB",
312
+ "lines": 364,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 18466
316
+ },
317
+ {
318
+ "path": "@gsd/saveX.m",
319
+ "sha256": "06ac93349d1a26267cec95a046069b309fcd0cceb0a4e11901034192c41cdc26",
320
+ "language": "MATLAB",
321
+ "lines": 6,
322
+ "truncated": false,
323
+ "block": 6,
324
+ "row": 2390
325
+ },
326
+ {
327
+ "path": "@gsd/saveme.m",
328
+ "sha256": "e8f8e243d2e1153454eaf17f20eacd2c4cd4a79067a24c1af82c63d589612046",
329
+ "language": "MATLAB",
330
+ "lines": 5,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 2334
334
+ },
335
+ {
336
+ "path": "@gsd/select_from_set.m",
337
+ "sha256": "99919d6529561a97076649826f8b07edcd389216cf168f38b9630b8cda161ca2",
338
+ "language": "MATLAB",
339
+ "lines": 9,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 2882
343
+ },
344
+ {
345
+ "path": "@gsm/genX.m",
346
+ "sha256": "d88caa86a5b4c13d28e2732184cb80cb4531ebf700e4cc8a8559d9acd53f20aa",
347
+ "language": "MATLAB",
348
+ "lines": 5,
349
+ "truncated": false,
350
+ "block": 6,
351
+ "row": 2277
352
+ },
353
+ {
354
+ "path": "@gsm/gsm.m",
355
+ "sha256": "8eab402b963e8c4775c626a7821f34b441f7418cce7d75f0733bf4240374c578",
356
+ "language": "MATLAB",
357
+ "lines": 333,
358
+ "truncated": false,
359
+ "block": 6,
360
+ "row": 18315
361
+ },
362
+ {
363
+ "path": "@gsm/saveX.m",
364
+ "sha256": "06ac93349d1a26267cec95a046069b309fcd0cceb0a4e11901034192c41cdc26",
365
+ "language": "MATLAB",
366
+ "lines": 6,
367
+ "truncated": false,
368
+ "block": 6,
369
+ "row": 2390
370
+ },
371
+ {
372
+ "path": "@gsm/saveme.m",
373
+ "sha256": "e8f8e243d2e1153454eaf17f20eacd2c4cd4a79067a24c1af82c63d589612046",
374
+ "language": "MATLAB",
375
+ "lines": 5,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 2334
379
+ },
380
+ {
381
+ "path": "@utils/MISI.m",
382
+ "sha256": "da2b6b81c3afbe3136370593c11f1e849517deea6f782932bde3523387c2ae5a",
383
+ "language": "MATLAB",
384
+ "lines": 43,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 5688
388
+ },
389
+ {
390
+ "path": "@utils/MMD.m",
391
+ "sha256": "3ad0817b008797e761a54e710b15b823dfedb0349fcb7d1c4056abcdccb7a093",
392
+ "language": "MATLAB",
393
+ "lines": 38,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 5314
397
+ },
398
+ {
399
+ "path": "@utils/MMSE.m",
400
+ "sha256": "dd3c2d9079ce2a9680255778adcabf2144f7fd07ed346e4b44c1831096b4f856",
401
+ "language": "MATLAB",
402
+ "lines": 46,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 6167
406
+ },
407
+ {
408
+ "path": "@utils/doMMGPCA.m",
409
+ "sha256": "7969861addea8d612fbcd69785b3bb0cd9a9e5379f429d8c7b9c2c0f2cb07a62",
410
+ "language": "MATLAB",
411
+ "lines": 55,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 8881
415
+ },
416
+ {
417
+ "path": "@utils/getop.m",
418
+ "sha256": "47d56781eb3d35a4893da5323c7432d9626c98058e337a9075d0742eee42bdb0",
419
+ "language": "MATLAB",
420
+ "lines": 46,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 8846
424
+ },
425
+ {
426
+ "path": "@utils/munkres.m",
427
+ "sha256": "083dfb226909e1dc6f0632dae728b010a8b63808e322e9855cd53ab02f42d269",
428
+ "language": "MATLAB",
429
+ "lines": 200,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 16285
433
+ },
434
+ {
435
+ "path": "@utils/myISI.m",
436
+ "sha256": "92860cb92616ffa444b2520f54f4c1dc420d049c34a3e27584bc3fdd55c24168",
437
+ "language": "MATLAB",
438
+ "lines": 15,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 2766
442
+ },
443
+ {
444
+ "path": "@utils/myMD.m",
445
+ "sha256": "1ca13644daa3cdc00d5ee7aac317b8f089f4b92031741a4bb5dc8db68bf2260b",
446
+ "language": "MATLAB",
447
+ "lines": 19,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 3174
451
+ },
452
+ {
453
+ "path": "@utils/myMSE.m",
454
+ "sha256": "a95474c2eeb9fc9041003c1ca45c9206421190b8130531417650953cf2ee0fb9",
455
+ "language": "MATLAB",
456
+ "lines": 31,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 4244
460
+ },
461
+ {
462
+ "path": "@utils/myPCA.m",
463
+ "sha256": "6765549cefa97a0159f24c40b034a99e0c57ecae02c48ba5d273e1597b8b7faa",
464
+ "language": "MATLAB",
465
+ "lines": 26,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 5453
469
+ },
470
+ {
471
+ "path": "@utils/myicdf.m",
472
+ "sha256": "d98a4d6ad95618c9153a22eda37163c2c7488160e04bfbc60daa88e2000f21fa",
473
+ "language": "MATLAB",
474
+ "lines": 125,
475
+ "truncated": false,
476
+ "block": 6,
477
+ "row": 13464
478
+ },
479
+ {
480
+ "path": "@utils/mymvk.m",
481
+ "sha256": "00e06ab0fc7710c216533d73afebdb3e34c7d3fa1cb32924c7c754c9a5241d77",
482
+ "language": "MATLAB",
483
+ "lines": 55,
484
+ "truncated": false,
485
+ "block": 6,
486
+ "row": 10355
487
+ },
488
+ {
489
+ "path": "@utils/mymvlap.m",
490
+ "sha256": "735530269b09b80babcc6c4f36910fcbfc47a20aabb06daad15387d814ed1c5c",
491
+ "language": "MATLAB",
492
+ "lines": 45,
493
+ "truncated": false,
494
+ "block": 6,
495
+ "row": 8713
496
+ },
497
+ {
498
+ "path": "@utils/run_MISA.m",
499
+ "sha256": "de8262e8161cda8c82667dd753daf3758c28045ddff09bc45c179bc3d1d8595d",
500
+ "language": "MATLAB",
501
+ "lines": 18,
502
+ "truncated": false,
503
+ "block": 6,
504
+ "row": 5778
505
+ },
506
+ {
507
+ "path": "@utils/stackMuCov.m",
508
+ "sha256": "d09b48aad94db338077f49682b0d8dd59194dc0ca245fd7c43a3bceef01f9b0f",
509
+ "language": "MATLAB",
510
+ "lines": 8,
511
+ "truncated": false,
512
+ "block": 6,
513
+ "row": 2361
514
+ },
515
+ {
516
+ "path": "@utils/stackW.m",
517
+ "sha256": "9bfe877f92e705f55582d2063eb81a2e8987ffd2b87a160d31540647130fe720",
518
+ "language": "MATLAB",
519
+ "lines": 6,
520
+ "truncated": false,
521
+ "block": 6,
522
+ "row": 2280
523
+ },
524
+ {
525
+ "path": "@utils/unstackMuCov.m",
526
+ "sha256": "a8697ffbf30d6b3c49ba006977028a0e12a0d534fa9de649f5934838f2ca8fe6",
527
+ "language": "MATLAB",
528
+ "lines": 21,
529
+ "truncated": false,
530
+ "block": 6,
531
+ "row": 4907
532
+ },
533
+ {
534
+ "path": "@utils/unstackW.m",
535
+ "sha256": "497369cc61306b25d3432cd5bedb4b05dd44e81a132ee755d3cb308fc684f87e",
536
+ "language": "MATLAB",
537
+ "lines": 13,
538
+ "truncated": false,
539
+ "block": 6,
540
+ "row": 4065
541
+ },
542
+ {
543
+ "path": "@utils/utils.m",
544
+ "sha256": "bf81a36f4f61df51da1b55ffaaae08ed02c61be1b9b9bdc14c070a877a5cab2a",
545
+ "language": "MATLAB",
546
+ "lines": 35,
547
+ "truncated": false,
548
+ "block": 6,
549
+ "row": 6459
550
+ },
551
+ {
552
+ "path": "LICENSE",
553
+ "sha256": "1df24c47a40c79c65a04daf98b51f681da4987ddca1c7759c66e5862012d66f2",
554
+ "language": "License",
555
+ "lines": 201,
556
+ "truncated": false,
557
+ "block": 6,
558
+ "row": 2053
559
+ },
560
+ {
561
+ "path": "README.md",
562
+ "sha256": "308177b7195f117a9c56f63c7e5ccde73298170ce7d0c64a20ae1d4ba8f73cd7",
563
+ "language": "Text",
564
+ "lines": 113,
565
+ "truncated": false,
566
+ "block": 8,
567
+ "row": 10460
568
+ },
569
+ {
570
+ "path": "figures/IMAG2026/age_delta.m",
571
+ "sha256": "295d03494904d06245d3a2cf54487db7ac46e993c4116743e9789d4f947b82d7",
572
+ "language": "MATLAB",
573
+ "lines": 138,
574
+ "truncated": false,
575
+ "block": 6,
576
+ "row": 15098
577
+ },
578
+ {
579
+ "path": "figures/IMAG2026/ancillary.py",
580
+ "sha256": "61e6614a3c2456152db111d28568c9d79741257f5e58b680400c4d89b78b07ce",
581
+ "language": "Python",
582
+ "lines": 182,
583
+ "truncated": false,
584
+ "block": 6,
585
+ "row": 43531
586
+ },
587
+ {
588
+ "path": "figures/IMAG2026/compare_mmiva_msiva_sz.ipynb",
589
+ "sha256": "57231389136cecdef0b595373de10071abe2dec0a9afc3b53bcb25024d12c879",
590
+ "language": "Jupyter",
591
+ "lines": 178,
592
+ "truncated": false,
593
+ "block": 5,
594
+ "row": 17438
595
+ },
596
+ {
597
+ "path": "figures/IMAG2026/compare_mmiva_msiva_ukb.ipynb",
598
+ "sha256": "b22264c3bf0dfccf4662e4f245fe0338c84f511189291fc835eb83ebbccf0677",
599
+ "language": "Jupyter",
600
+ "lines": 170,
601
+ "truncated": false,
602
+ "block": 5,
603
+ "row": 17383
604
+ },
605
+ {
606
+ "path": "figures/IMAG2026/compute_geometric_median.py",
607
+ "sha256": "d1200e812b08886a089a6f3cafe6c43f87ce60317a880bbd69e03d921a1c2015",
608
+ "language": "Python",
609
+ "lines": 16,
610
+ "truncated": false,
611
+ "block": 6,
612
+ "row": 23150
613
+ },
614
+ {
615
+ "path": "figures/IMAG2026/dualcodeImage_AY_geomedian.m",
616
+ "sha256": "23d47288f4960a05e63fede1954679c4d84a191e5f2bf1e002a2d5df47f60fa2",
617
+ "language": "MATLAB",
618
+ "lines": 255,
619
+ "truncated": false,
620
+ "block": 6,
621
+ "row": 17981
622
+ },
623
+ {
624
+ "path": "figures/IMAG2026/dualcodeImage_beta1.m",
625
+ "sha256": "87e6c199bf909754474a0b92d0e0d2781d29490acb03c6852a0fce244e8979ff",
626
+ "language": "MATLAB",
627
+ "lines": 177,
628
+ "truncated": false,
629
+ "block": 6,
630
+ "row": 16676
631
+ },
632
+ {
633
+ "path": "figures/IMAG2026/dualcodeImage_delta2p_geomedian.m",
634
+ "sha256": "bac54b14784488072d278157f668d341d64eca4dc1188e4215cefd32a9e08541",
635
+ "language": "MATLAB",
636
+ "lines": 183,
637
+ "truncated": false,
638
+ "block": 6,
639
+ "row": 16739
640
+ },
641
+ {
642
+ "path": "figures/IMAG2026/dualcodeImage_delta2p_std.m",
643
+ "sha256": "54ee5d959c2df0eb5d2185a7a517d6fff776b9e170aff601309bc989f09d634c",
644
+ "language": "MATLAB",
645
+ "lines": 182,
646
+ "truncated": false,
647
+ "block": 6,
648
+ "row": 16724
649
+ },
650
+ {
651
+ "path": "figures/IMAG2026/dualcodeImage_phenotype.m",
652
+ "sha256": "5fc245df90ae68549ca4d9c8a3c73065d5e445557d7a8be0c563962db2419600",
653
+ "language": "MATLAB",
654
+ "lines": 198,
655
+ "truncated": false,
656
+ "block": 6,
657
+ "row": 17052
658
+ },
659
+ {
660
+ "path": "figures/IMAG2026/phenotype_map.py",
661
+ "sha256": "cf55f37b5c291afe542ee2ded9d73a05aaefa59153c5a50a783d073824ab07ee",
662
+ "language": "Python",
663
+ "lines": 54,
664
+ "truncated": false,
665
+ "block": 6,
666
+ "row": 31745
667
+ },
668
+ {
669
+ "path": "figures/IMAG2026/plot_img_loss.ipynb",
670
+ "sha256": "3141265be5904c39cf53d8d71a928b097ea6d85f4e66dbada47ec5c003b68bfa",
671
+ "language": "Jupyter",
672
+ "lines": 51,
673
+ "truncated": false,
674
+ "block": 5,
675
+ "row": 16227
676
+ },
677
+ {
678
+ "path": "figures/IMAG2026/plot_img_sz.ipynb",
679
+ "sha256": "1a1c85d35a8a89bbb29cc10925246324b39abb2226750660095fa14e2e08c7f1",
680
+ "language": "Jupyter",
681
+ "lines": 622,
682
+ "truncated": false,
683
+ "block": 6,
684
+ "row": 927
685
+ },
686
+ {
687
+ "path": "figures/IMAG2026/plot_img_sz_rdc.ipynb",
688
+ "sha256": "5890b8e2461442d140bb2305ba27f17fd866155e135a17f9f5d67a69fa9bfe13",
689
+ "language": "Jupyter",
690
+ "lines": 180,
691
+ "truncated": false,
692
+ "block": 5,
693
+ "row": 17117
694
+ },
695
+ {
696
+ "path": "figures/IMAG2026/plot_img_ukb.ipynb",
697
+ "sha256": "9a649912e3632b4e9be5e06a4a5c516a002d8056861b00004495a75a55137275",
698
+ "language": "Jupyter",
699
+ "lines": 564,
700
+ "truncated": false,
701
+ "block": 6,
702
+ "row": 846
703
+ },
704
+ {
705
+ "path": "figures/IMAG2026/plot_img_ukb_rdc.ipynb",
706
+ "sha256": "e467a9117e409b9338598041764766f48629ea14c644864d9e40b748c3473e60",
707
+ "language": "Jupyter",
708
+ "lines": 180,
709
+ "truncated": false,
710
+ "block": 5,
711
+ "row": 17133
712
+ },
713
+ {
714
+ "path": "figures/IMAG2026/plot_init_corr.ipynb",
715
+ "sha256": "635af1c342dd2af98cd952479093ce2d04e557f181bb88c7061e47a312f7f326",
716
+ "language": "Jupyter",
717
+ "lines": 59,
718
+ "truncated": false,
719
+ "block": 5,
720
+ "row": 16278
721
+ },
722
+ {
723
+ "path": "figures/IMAG2026/plot_itc.ipynb",
724
+ "sha256": "807e5c80df6e945d5d7fbe05c8e80045f13c99ee52447558bd29321599cf6283",
725
+ "language": "Jupyter",
726
+ "lines": 53,
727
+ "truncated": false,
728
+ "block": 5,
729
+ "row": 16310
730
+ },
731
+ {
732
+ "path": "figures/IMAG2026/plot_loss.ipynb",
733
+ "sha256": "f421643aed338f9d7b90cbf604540195cebf0c3de888c7c10547e75d5a7e4139",
734
+ "language": "Jupyter",
735
+ "lines": 354,
736
+ "truncated": false,
737
+ "block": 6,
738
+ "row": 673
739
+ },
740
+ {
741
+ "path": "figures/IMAG2026/plot_num_crossmodal_voxel.ipynb",
742
+ "sha256": "cea694e2c77854e4fe46df8f740eaab349334d62df1f8a2775a7e0f3785ec17b",
743
+ "language": "Jupyter",
744
+ "lines": 93,
745
+ "truncated": false,
746
+ "block": 5,
747
+ "row": 16949
748
+ },
749
+ {
750
+ "path": "figures/IMAG2026/plot_sig_voxel.ipynb",
751
+ "sha256": "b1f9bfd21cd8badbaed4f76bec04efe425c968942533a0d912d8b37551ab9c06",
752
+ "language": "Jupyter",
753
+ "lines": 78,
754
+ "truncated": false,
755
+ "block": 5,
756
+ "row": 16608
757
+ },
758
+ {
759
+ "path": "figures/IMAG2026/plot_sim.ipynb",
760
+ "sha256": "44dc19c46aa29795fb791899bf2f3f9ffe2a5d000eddf4a9a48419cc838c8548",
761
+ "language": "Jupyter",
762
+ "lines": 359,
763
+ "truncated": false,
764
+ "block": 6,
765
+ "row": 222
766
+ },
767
+ {
768
+ "path": "figures/IMAG2026/plot_subspace_struct.ipynb",
769
+ "sha256": "a92fd489cabea2b6a61fc2b1a33d49e438b8a848b86a04cd9a81e58a47aa98f0",
770
+ "language": "Jupyter",
771
+ "lines": 92,
772
+ "truncated": false,
773
+ "block": 5,
774
+ "row": 16381
775
+ },
776
+ {
777
+ "path": "figures/IMAG2026/utils.py",
778
+ "sha256": "d5051828251558375f4316900263989eee8cc33a2efcd0b4c74359e15cea469e",
779
+ "language": "Python",
780
+ "lines": 540,
781
+ "truncated": false,
782
+ "block": 7,
783
+ "row": 7775
784
+ },
785
+ {
786
+ "path": "figures/ISBI2023/ancillary.py",
787
+ "sha256": "61e6614a3c2456152db111d28568c9d79741257f5e58b680400c4d89b78b07ce",
788
+ "language": "Python",
789
+ "lines": 182,
790
+ "truncated": false,
791
+ "block": 6,
792
+ "row": 43531
793
+ },
794
+ {
795
+ "path": "figures/ISBI2023/convert_to_RGB.m",
796
+ "sha256": "1abc43b5ba194ef2539579bf383084293eb5e194e4e8ff3e0318d0679e203473",
797
+ "language": "MATLAB",
798
+ "lines": 32,
799
+ "truncated": false,
800
+ "block": 6,
801
+ "row": 6887
802
+ },
803
+ {
804
+ "path": "figures/ISBI2023/dualmap.m",
805
+ "sha256": "a56c819f65bcb4d97981285cf8c481de362676686b0bb2e3075b8593bb8c944c",
806
+ "language": "MATLAB",
807
+ "lines": 165,
808
+ "truncated": false,
809
+ "block": 6,
810
+ "row": 16250
811
+ },
812
+ {
813
+ "path": "figures/ISBI2023/plot_img.ipynb",
814
+ "sha256": "e7652236f42e35524cfe737d52a998cf70bd801d48dfb6ca7e7e7d839a887094",
815
+ "language": "Jupyter",
816
+ "lines": 300,
817
+ "truncated": false,
818
+ "block": 5,
819
+ "row": 17753
820
+ },
821
+ {
822
+ "path": "figures/ISBI2023/plot_sim.ipynb",
823
+ "sha256": "4b2aa2ca8e43e74e70ec2f10c0185f690bd61cd0cf27607abdb07f7dcdc2b002",
824
+ "language": "Jupyter",
825
+ "lines": 152,
826
+ "truncated": false,
827
+ "block": 5,
828
+ "row": 17025
829
+ },
830
+ {
831
+ "path": "figures/ISBI2023/plot_subspace_struct.ipynb",
832
+ "sha256": "52934b54b767ce06e53a236a5bb7db49315bc1e8e2f2c9768bbd757dc4ddbd49",
833
+ "language": "Jupyter",
834
+ "lines": 92,
835
+ "truncated": false,
836
+ "block": 5,
837
+ "row": 16312
838
+ },
839
+ {
840
+ "path": "other_methods/icatb_iva_laplace.m",
841
+ "sha256": "cb857f867973815327456c5d95b3808db38c3dd0a353f9f0e48bde2ec3585b4a",
842
+ "language": "MATLAB",
843
+ "lines": 947,
844
+ "truncated": false,
845
+ "block": 6,
846
+ "row": 19063
847
+ },
848
+ {
849
+ "path": "other_methods/icatb_iva_laplace_bkt.m",
850
+ "sha256": "b1532682200ba9bc716899cd13ace6f3ba5f0ff0759e2b0a5afc0cc654dd6d8c",
851
+ "language": "MATLAB",
852
+ "lines": 996,
853
+ "truncated": false,
854
+ "block": 6,
855
+ "row": 19111
856
+ },
857
+ {
858
+ "path": "other_methods/icatb_iva_second_order.m",
859
+ "sha256": "1cde3b0985701a201a799271a636a211fdbfc265272b4c3e889b93130fe5b340",
860
+ "language": "MATLAB",
861
+ "lines": 1526,
862
+ "truncated": false,
863
+ "block": 6,
864
+ "row": 19313
865
+ },
866
+ {
867
+ "path": "other_methods/icatb_runica.m",
868
+ "sha256": "3c7ff3f915323ba7add67b672a635e2a8303b73a174c66c8d12a7a3ee4887bbd",
869
+ "language": "MATLAB",
870
+ "lines": 980,
871
+ "truncated": false,
872
+ "block": 6,
873
+ "row": 19211
874
+ },
875
+ {
876
+ "path": "other_methods/isa_est.m",
877
+ "sha256": "ffd271b4d32461dbc3012a96ad8d7ed0eae18516fe89a89bf16125bd4ee30a14",
878
+ "language": "MATLAB",
879
+ "lines": 145,
880
+ "truncated": false,
881
+ "block": 6,
882
+ "row": 14125
883
+ },
884
+ {
885
+ "path": "other_methods/jbd.m",
886
+ "sha256": "3720c10d07ccdcc74c32cab743164997366abf187365e473f1e0ab79edd7c6f1",
887
+ "language": "MATLAB",
888
+ "lines": 339,
889
+ "truncated": false,
890
+ "block": 6,
891
+ "row": 17478
892
+ },
893
+ {
894
+ "path": "scripts/ICA1/simICA_PhD.m",
895
+ "sha256": "776b88cada475acf2c9e369c84305664816054e4598a5b81c3d56cd6d6f4fe25",
896
+ "language": "MATLAB",
897
+ "lines": 289,
898
+ "truncated": false,
899
+ "block": 6,
900
+ "row": 18063
901
+ },
902
+ {
903
+ "path": "scripts/ISA1_2/MISA_ISA_run.m",
904
+ "sha256": "b3848e2197dfe41cc14370f373f2f5e3ad97dc1ad8e63193d0ca2b449d482fd4",
905
+ "language": "MATLAB",
906
+ "lines": 421,
907
+ "truncated": false,
908
+ "block": 6,
909
+ "row": 18037
910
+ },
911
+ {
912
+ "path": "scripts/ISA3/simISA_PhD.m",
913
+ "sha256": "ac7356ac3b60ddfeb43ea33e1c9b42aa05db7ef3e53afcb168d5e8b5f7e8351e",
914
+ "language": "MATLAB",
915
+ "lines": 382,
916
+ "truncated": false,
917
+ "block": 6,
918
+ "row": 18573
919
+ },
920
+ {
921
+ "path": "scripts/IVA1/MISA_IVA_run.m",
922
+ "sha256": "9c5c031c5792cfe47cb2db97175b4ef70cdd3a8d00649fa2468442c226dd6a75",
923
+ "language": "MATLAB",
924
+ "lines": 251,
925
+ "truncated": false,
926
+ "block": 6,
927
+ "row": 16191
928
+ },
929
+ {
930
+ "path": "scripts/IVA2/simspatialIVA_PhD.m",
931
+ "sha256": "00e1ac091e3e924d878aca8aa0f005d24a1c204e66d089d1339ac4b6b475ee8d",
932
+ "language": "MATLAB",
933
+ "lines": 628,
934
+ "truncated": false,
935
+ "block": 6,
936
+ "row": 19065
937
+ },
938
+ {
939
+ "path": "scripts/MCIv4/mci_create_4DNiftifile.m",
940
+ "sha256": "641a54ebfd8971dc16720e302c1f4827f0026710f34583ce2a4d4a85acda8ffe",
941
+ "language": "MATLAB",
942
+ "lines": 42,
943
+ "truncated": false,
944
+ "block": 6,
945
+ "row": 8123
946
+ },
947
+ {
948
+ "path": "scripts/MCIv4/mci_finputcheck.m",
949
+ "sha256": "fc525e7dec4ef43f1b39f7b9f8f0d7974daa0cd2f82992a6b8cf5cfea80b3819",
950
+ "language": "MATLAB",
951
+ "lines": 242,
952
+ "truncated": false,
953
+ "block": 6,
954
+ "row": 17061
955
+ },
956
+ {
957
+ "path": "scripts/MCIv4/mci_getclusters.m",
958
+ "sha256": "1493d53e7be37b46a566701efd33ab085bba86328372ab5ff2bd2b50e77081f2",
959
+ "language": "MATLAB",
960
+ "lines": 20,
961
+ "truncated": false,
962
+ "block": 6,
963
+ "row": 3576
964
+ },
965
+ {
966
+ "path": "scripts/MCIv4/mci_interp2struct.m",
967
+ "sha256": "4abbfb8a67be41b9343d232e9bc913cffeee9e04e73bd7ad6f78fd6a4dc57c4e",
968
+ "language": "MATLAB",
969
+ "lines": 45,
970
+ "truncated": false,
971
+ "block": 6,
972
+ "row": 9022
973
+ },
974
+ {
975
+ "path": "scripts/MCIv4/mci_interpdata.m",
976
+ "sha256": "372a8a86d2e30882f50828f55fbea8c269f481c0dede7a6414c579fd71ecb309",
977
+ "language": "MATLAB",
978
+ "lines": 54,
979
+ "truncated": false,
980
+ "block": 6,
981
+ "row": 7876
982
+ },
983
+ {
984
+ "path": "scripts/MCIv4/mci_makeimage.m",
985
+ "sha256": "90f582b3063bfb4317f3232217dd2a8af40c41ffd68c4cb8832a361caf4b5c9b",
986
+ "language": "MATLAB",
987
+ "lines": 94,
988
+ "truncated": false,
989
+ "block": 6,
990
+ "row": 14612
991
+ },
992
+ {
993
+ "path": "scripts/MCIv4/mci_makesubplotgrid_cluster.m",
994
+ "sha256": "4f19943e44770c5e28f55fed23a6cb03ba83d6425a234f4d6c2a5c3c3fd26ea4",
995
+ "language": "MATLAB",
996
+ "lines": 104,
997
+ "truncated": false,
998
+ "block": 6,
999
+ "row": 12770
1000
+ },
1001
+ {
1002
+ "path": "scripts/MCIv4/mci_plotch.m",
1003
+ "sha256": "6f9cfa0d1f6cff60684d73f13515a2bba644033f73b3e3e11f5453e62931602a",
1004
+ "language": "MATLAB",
1005
+ "lines": 34,
1006
+ "truncated": false,
1007
+ "block": 6,
1008
+ "row": 6722
1009
+ },
1010
+ {
1011
+ "path": "scripts/MCIv4/mci_plotcolorbar.m",
1012
+ "sha256": "06ff7260f6a42c918752fbee21dec6890bc9f34504be4f85c4f4b987e7b0fb74",
1013
+ "language": "MATLAB",
1014
+ "lines": 27,
1015
+ "truncated": false,
1016
+ "block": 6,
1017
+ "row": 7171
1018
+ },
1019
+ {
1020
+ "path": "scripts/MCIv4/mci_plotcomps.m",
1021
+ "sha256": "4de989ce026f0ce4b1ec1e6d4f0f7ee4a57cf7e9a00027a31e565ddc4743de86",
1022
+ "language": "MATLAB",
1023
+ "lines": 230,
1024
+ "truncated": false,
1025
+ "block": 6,
1026
+ "row": 16496
1027
+ },
1028
+ {
1029
+ "path": "scripts/MCIv4/mci_plotlabels.m",
1030
+ "sha256": "74edba0c9a405689f76b1cdcbc30dac8bc6ccd0df0c8e83d5c987641706f9fcc",
1031
+ "language": "MATLAB",
1032
+ "lines": 8,
1033
+ "truncated": false,
1034
+ "block": 6,
1035
+ "row": 3796
1036
+ },
1037
+ {
1038
+ "path": "scripts/MCIv4/mci_plotslicepos.m",
1039
+ "sha256": "1f613a3e9bd39cfb0a07ebfe10fb4a46342d1f636923c25c3f8dc72fba88e5fa",
1040
+ "language": "MATLAB",
1041
+ "lines": 19,
1042
+ "truncated": false,
1043
+ "block": 6,
1044
+ "row": 5217
1045
+ },
1046
+ {
1047
+ "path": "scripts/MCIv4/mci_plotslices.m",
1048
+ "sha256": "ce3a4034f80fa03096ce1a07cb641e2b105110f09f01a5ac0e2108864be91b7e",
1049
+ "language": "MATLAB",
1050
+ "lines": 23,
1051
+ "truncated": false,
1052
+ "block": 6,
1053
+ "row": 4986
1054
+ },
1055
+ {
1056
+ "path": "scripts/MCIv4/mci_sample.m",
1057
+ "sha256": "056c4c214995741c81a10ed4a0065c2db1d3a3ab6c496b5bbd1796471c972c22",
1058
+ "language": "MATLAB",
1059
+ "lines": 45,
1060
+ "truncated": false,
1061
+ "block": 6,
1062
+ "row": 10194
1063
+ },
1064
+ {
1065
+ "path": "scripts/MCIv4/mci_save_as_nii.m",
1066
+ "sha256": "1ecaba043f1b1f06dee444b2251ec98f27ea423d32a7fc88564b5c3d70740cd0",
1067
+ "language": "MATLAB",
1068
+ "lines": 8,
1069
+ "truncated": false,
1070
+ "block": 6,
1071
+ "row": 2916
1072
+ },
1073
+ {
1074
+ "path": "scripts/MCIv4/mci_simplify_coords.m",
1075
+ "sha256": "d4c6f89af777e79daf538d5afbf056d3b18a1807089d9faa434bdaf749477ac7",
1076
+ "language": "MATLAB",
1077
+ "lines": 5,
1078
+ "truncated": false,
1079
+ "block": 6,
1080
+ "row": 2452
1081
+ },
1082
+ {
1083
+ "path": "scripts/SIVA/func_img.m",
1084
+ "sha256": "b8c5483cbe06fe68c46bd5235458ee069eb1b947f4501e82be9bca03866712cf",
1085
+ "language": "MATLAB",
1086
+ "lines": 161,
1087
+ "truncated": false,
1088
+ "block": 6,
1089
+ "row": 14244
1090
+ },
1091
+ {
1092
+ "path": "scripts/SIVA/func_sim.m",
1093
+ "sha256": "e2935db6f14e1e0cd1f82234bb85dfaa0dc5199ea9dd15c279b490a8661c1765",
1094
+ "language": "MATLAB",
1095
+ "lines": 237,
1096
+ "truncated": false,
1097
+ "block": 6,
1098
+ "row": 15965
1099
+ },
1100
+ {
1101
+ "path": "scripts/SIVA/run_mgpca_gica.m",
1102
+ "sha256": "4cfca92cb2f087818afca8f24d7d8c6a78eccbb550d1692efe0d1d707bd30fe2",
1103
+ "language": "MATLAB",
1104
+ "lines": 158,
1105
+ "truncated": false,
1106
+ "block": 6,
1107
+ "row": 14539
1108
+ },
1109
+ {
1110
+ "path": "scripts/SIVA/run_mgpca_ica.m",
1111
+ "sha256": "cf36c4cd9d5c7ab471504614aa868699137bc597ae5f1d12dd47a425d8e7835f",
1112
+ "language": "MATLAB",
1113
+ "lines": 164,
1114
+ "truncated": false,
1115
+ "block": 6,
1116
+ "row": 14725
1117
+ },
1118
+ {
1119
+ "path": "scripts/SIVA/run_pca_ica.m",
1120
+ "sha256": "633874d400cc84d31bb4f41327f829b9f6401b3967ca91a92a7655e3501c8e86",
1121
+ "language": "MATLAB",
1122
+ "lines": 168,
1123
+ "truncated": false,
1124
+ "block": 6,
1125
+ "row": 14750
1126
+ },
1127
+ {
1128
+ "path": "scripts/doSecondPCAStep.m",
1129
+ "sha256": "f29657e092226a7cce7343c2fa343244056dd8a593480adee69d26d5522664fe",
1130
+ "language": "MATLAB",
1131
+ "lines": 11,
1132
+ "truncated": false,
1133
+ "block": 6,
1134
+ "row": 3638
1135
+ },
1136
+ {
1137
+ "path": "scripts/my_3views.m",
1138
+ "sha256": "39bf17f0aaa649317da666697f65ff28cb17a9d5466cb1e15f44091d5e8ed83f",
1139
+ "language": "MATLAB",
1140
+ "lines": 24,
1141
+ "truncated": false,
1142
+ "block": 6,
1143
+ "row": 4409
1144
+ },
1145
+ {
1146
+ "path": "scripts/setup_basic_MISAKRE.m",
1147
+ "sha256": "39fc656a704b3a03916597661637728b555dd0189a58c07045aba23851c2bba4",
1148
+ "language": "MATLAB",
1149
+ "lines": 23,
1150
+ "truncated": false,
1151
+ "block": 6,
1152
+ "row": 4694
1153
+ },
1154
+ {
1155
+ "path": "scripts/setup_hybrid_MISAKRE.m",
1156
+ "sha256": "39fc656a704b3a03916597661637728b555dd0189a58c07045aba23851c2bba4",
1157
+ "language": "MATLAB",
1158
+ "lines": 23,
1159
+ "truncated": false,
1160
+ "block": 6,
1161
+ "row": 4694
1162
+ },
1163
+ {
1164
+ "path": "scripts/sim_MISA.m",
1165
+ "sha256": "bdcf0354c64670ac2f9509b78913ea2ef8fdb339689390104124f0dee57da1ef",
1166
+ "language": "MATLAB",
1167
+ "lines": 49,
1168
+ "truncated": false,
1169
+ "block": 6,
1170
+ "row": 8245
1171
+ },
1172
+ {
1173
+ "path": "scripts/sim_basic_ICA.m",
1174
+ "sha256": "25593970cbdd462d9d7fb45699e79e1964af60ef4e62ffe828671928c443199f",
1175
+ "language": "MATLAB",
1176
+ "lines": 24,
1177
+ "truncated": false,
1178
+ "block": 6,
1179
+ "row": 4922
1180
+ },
1181
+ {
1182
+ "path": "scripts/sim_basic_ISA.m",
1183
+ "sha256": "caa5951610a70887b50c4ac51f2dbb1bb1c5b1c9aaa03a969363d20b1dcc2939",
1184
+ "language": "MATLAB",
1185
+ "lines": 28,
1186
+ "truncated": false,
1187
+ "block": 6,
1188
+ "row": 5179
1189
+ },
1190
+ {
1191
+ "path": "scripts/sim_basic_IVA.m",
1192
+ "sha256": "e50e631a30ce94c03e99fd213eef499b71c3d3b77be875b6234a5ecfd6f2f3d4",
1193
+ "language": "MATLAB",
1194
+ "lines": 30,
1195
+ "truncated": false,
1196
+ "block": 6,
1197
+ "row": 5609
1198
+ },
1199
+ {
1200
+ "path": "scripts/sim_basic_SIVA.m",
1201
+ "sha256": "ed05d7ad884a15400a58416cce349b3cba9b6b12f64b68c417cd92edfc03920f",
1202
+ "language": "MATLAB",
1203
+ "lines": 49,
1204
+ "truncated": false,
1205
+ "block": 6,
1206
+ "row": 8270
1207
+ },
1208
+ {
1209
+ "path": "scripts/sim_hybrid_IVA.m",
1210
+ "sha256": "6b1486c1453a49f2f338ff947a1c605ffac0e7a00cd6b5f5fa65398ca865865f",
1211
+ "language": "MATLAB",
1212
+ "lines": 21,
1213
+ "truncated": false,
1214
+ "block": 6,
1215
+ "row": 4582
1216
+ },
1217
+ {
1218
+ "path": "scripts/simhybridICAfMRI.m",
1219
+ "sha256": "2ffca32b328db3e0c04b15a833aaf19c204cd2fcfd94b3a130b539fb63616fbf",
1220
+ "language": "MATLAB",
1221
+ "lines": 338,
1222
+ "truncated": false,
1223
+ "block": 6,
1224
+ "row": 17762
1225
+ },
1226
+ {
1227
+ "path": "scripts/simhybridICAfMRI_maps_view.m",
1228
+ "sha256": "ba0edabbbaf605960a273a5540be1e84e1384825a9be4a6a072e10877e708ad2",
1229
+ "language": "MATLAB",
1230
+ "lines": 220,
1231
+ "truncated": false,
1232
+ "block": 6,
1233
+ "row": 15616
1234
+ },
1235
+ {
1236
+ "path": "scripts/simhybridMISA.m",
1237
+ "sha256": "a02639a4091d1729d11a0a5c423c1e851f81f7ece890f67972338d78be1f291c",
1238
+ "language": "MATLAB",
1239
+ "lines": 298,
1240
+ "truncated": false,
1241
+ "block": 6,
1242
+ "row": 17356
1243
+ },
1244
+ {
1245
+ "path": "scripts/simhybridMISA_maps_view.m",
1246
+ "sha256": "e8242e64862c6560caea24035a04ed040e1e5cc837d0d57a21e7e047bde6a9af",
1247
+ "language": "MATLAB",
1248
+ "lines": 195,
1249
+ "truncated": false,
1250
+ "block": 6,
1251
+ "row": 15029
1252
+ },
1253
+ {
1254
+ "path": "scripts/simhybridMMIVA.m",
1255
+ "sha256": "2280eb82e94d5740118068d2f55e58aadb7f546b7c8dc6942a2a413a9ceeb6d1",
1256
+ "language": "MATLAB",
1257
+ "lines": 330,
1258
+ "truncated": false,
1259
+ "block": 6,
1260
+ "row": 17802
1261
+ },
1262
+ {
1263
+ "path": "scripts/simhybridMMIVA_maps_view.m",
1264
+ "sha256": "04dc120ae4c8a73a88b98f1caad47413117057bf7552149458a23ea89664d51c",
1265
+ "language": "MATLAB",
1266
+ "lines": 404,
1267
+ "truncated": false,
1268
+ "block": 6,
1269
+ "row": 17829
1270
+ },
1271
+ {
1272
+ "path": "scripts/to_vol.m",
1273
+ "sha256": "4e61d2d67b0c9663415ade03b3a4ffd61dbf47d4622e55bd03cb77a5dbd6d095",
1274
+ "language": "MATLAB",
1275
+ "lines": 17,
1276
+ "truncated": false,
1277
+ "block": 6,
1278
+ "row": 3136
1279
+ },
1280
+ {
1281
+ "path": "scripts/toy_example/execute_full_optimization.m",
1282
+ "sha256": "93495eb976224820379df5fbcc49577d21fb1251774ded1827958802ffb023ad",
1283
+ "language": "MATLAB",
1284
+ "lines": 80,
1285
+ "truncated": false,
1286
+ "block": 6,
1287
+ "row": 12673
1288
+ },
1289
+ {
1290
+ "path": "scripts/toy_example/get_MISA_parameters.m",
1291
+ "sha256": "c3fa56145337de17b7c91ea47a75d795a60ef20a3808269641d210ac8335f84a",
1292
+ "language": "MATLAB",
1293
+ "lines": 51,
1294
+ "truncated": false,
1295
+ "block": 6,
1296
+ "row": 7464
1297
+ },
1298
+ {
1299
+ "path": "scripts/toy_example/setup_and_run.m",
1300
+ "sha256": "0dcc6beeb2132b35efb499d2ee562e8c726938828f19bd08eaa0c218ea15765d",
1301
+ "language": "MATLAB",
1302
+ "lines": 84,
1303
+ "truncated": false,
1304
+ "block": 6,
1305
+ "row": 11630
1306
+ },
1307
+ {
1308
+ "path": "scripts/toy_example/view_results.m",
1309
+ "sha256": "c720f0d80a47430634f85e8e10d7845c308613406b4c12243e43baac675d6849",
1310
+ "language": "MATLAB",
1311
+ "lines": 35,
1312
+ "truncated": false,
1313
+ "block": 6,
1314
+ "row": 16492
1315
+ },
1316
+ {
1317
+ "path": "validateFirstDerivatives_.m",
1318
+ "sha256": "9ebb4b766be9877765998c7ea9aea8e345654f8c57cc121866dce137c2715fa8",
1319
+ "language": "MATLAB",
1320
+ "lines": 277,
1321
+ "truncated": false,
1322
+ "block": 6,
1323
+ "row": 17971
1324
+ }
1325
+ ]
1326
+ }
manifests/69/figshare__31241707.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "figshare:31241707",
4
+ "url": "https://doi.org/10.6084/m9.figshare.31241707",
5
+ "host": "figshare.com",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "Example use of ATLAS.R",
13
+ "sha256": "f9aa93491ce034c90e712719586b14658d1d31725987d6f58952ace825209bfe",
14
+ "language": "R",
15
+ "lines": 96,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 3176
19
+ }
20
+ ]
21
+ }
manifests/69/github.com__alexmschubert__ecg-scd.json ADDED
@@ -0,0 +1,345 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/alexmschubert/ecg-scd",
4
+ "url": "https://github.com/alexmschubert/ECG-SCD",
5
+ "host": "github.com",
6
+ "commit": "f7b58768e2bb760a9a665aeb82191269fdf1d39b",
7
+ "license": "CC-BY-NC-ND-4.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "with_conditions",
10
+ "files": [
11
+ {
12
+ "path": "00_Data_Preprocessing/x01_build_ntuh_df.py",
13
+ "sha256": "a79a148beeab15d09dda252271640b6d2dd5d8f1b6c9843327f6b8fd15ac3625",
14
+ "language": "Python",
15
+ "lines": 267,
16
+ "truncated": false,
17
+ "block": 7,
18
+ "row": 4204
19
+ },
20
+ {
21
+ "path": "00_Data_Preprocessing/x02_generate_dummy_columns.py",
22
+ "sha256": "2e85ccab4ce6940b84b64dc8cd43645492147fabffa12387cf9df6e9de121204",
23
+ "language": "Python",
24
+ "lines": 98,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 38521
28
+ },
29
+ {
30
+ "path": "00_Data_Preprocessing/x03_process_10sec_ecg.py",
31
+ "sha256": "6f848741b604bc19827bca563bd7846897fbafe9798bdbabd5788c7be7a6bf05",
32
+ "language": "Python",
33
+ "lines": 45,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 30437
37
+ },
38
+ {
39
+ "path": "00_Data_Preprocessing/x04_segment_beats.py",
40
+ "sha256": "4119fdf6ffa02a52343c22446344157d76e9cb1951f9a0a03d0bd2fc1d5a0f4e",
41
+ "language": "Python",
42
+ "lines": 80,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 33697
46
+ },
47
+ {
48
+ "path": "00_Data_Preprocessing/x05_create_morphing_beats.py",
49
+ "sha256": "67dcecf247d2d20b0d0310af6153a2bde9a58987e37f983eee3993f84976270b",
50
+ "language": "Python",
51
+ "lines": 199,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 26
55
+ },
56
+ {
57
+ "path": "00_Data_Preprocessing/x06_create_aVL_feature.py",
58
+ "sha256": "f262f4932e88a06d4b2114621da168768a2ee55ba2de607c1ac85990410b5d57",
59
+ "language": "Python",
60
+ "lines": 233,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 833
64
+ },
65
+ {
66
+ "path": "00_Data_Preprocessing/x07_run_ntuh_style_regression.py",
67
+ "sha256": "86d2cae26dab9729db1dd2357ecb6bcf5e92d454180ed34ba5a3563a8b8d7e79",
68
+ "language": "Python",
69
+ "lines": 216,
70
+ "truncated": false,
71
+ "block": 7,
72
+ "row": 175
73
+ },
74
+ {
75
+ "path": "00_Data_Preprocessing/x08_plot_ecg.py",
76
+ "sha256": "4747031075ec301d97982c8802ff04616dd3377d276dfd6e8186d25e1a42edae",
77
+ "language": "Python",
78
+ "lines": 137,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 41222
82
+ },
83
+ {
84
+ "path": "01_Predictive_Model/x01_train_10s_ecg.py",
85
+ "sha256": "58559d5e828ba1b8433640623774233a3c66442d29e7a9366b9f5f828ed98f58",
86
+ "language": "Python",
87
+ "lines": 392,
88
+ "truncated": false,
89
+ "block": 7,
90
+ "row": 6664
91
+ },
92
+ {
93
+ "path": "01_Predictive_Model/x02_train_beats.py",
94
+ "sha256": "5b4d3d0b271baed19c9e427c505bfa9473a3c0e164ae699782be79a2f73b462d",
95
+ "language": "Python",
96
+ "lines": 215,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 7
100
+ },
101
+ {
102
+ "path": "01_Predictive_Model/x03_predict.py",
103
+ "sha256": "4a4db66e514b3112926c91ce49f8efbae85bf3aed7d8ea737ff14bf625840615",
104
+ "language": "Python",
105
+ "lines": 209,
106
+ "truncated": false,
107
+ "block": 7,
108
+ "row": 768
109
+ },
110
+ {
111
+ "path": "02_Morphing/s01_utils.py",
112
+ "sha256": "bf1889d562ee3aa045eb59c82146a54b776bdf4effde1111c1f674e4c215cc66",
113
+ "language": "Python",
114
+ "lines": 43,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 26458
118
+ },
119
+ {
120
+ "path": "02_Morphing/s02_model_layers.py",
121
+ "sha256": "fc7a3dc114b8e2ebb3e4e35a4e893636e0e7136e83a1f9189634702e7ef6ceef",
122
+ "language": "Python",
123
+ "lines": 243,
124
+ "truncated": false,
125
+ "block": 7,
126
+ "row": 395
127
+ },
128
+ {
129
+ "path": "02_Morphing/s03_models.py",
130
+ "sha256": "ff7d695e26fe369634b31d3731df37c5dfc4597b92a6b9423e6a0f327899945b",
131
+ "language": "Python",
132
+ "lines": 146,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 41259
136
+ },
137
+ {
138
+ "path": "02_Morphing/s04_utils_data.py",
139
+ "sha256": "83b4c4bd91454653f54cfe2287632df02a0dbd2840e98456b329071fa55c9d9e",
140
+ "language": "Python",
141
+ "lines": 92,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 36112
145
+ },
146
+ {
147
+ "path": "02_Morphing/s05_utils_vae.py",
148
+ "sha256": "960757d21f00f5460212906a7588182f0556967e6f37b9ecd7a34a8c0381a082",
149
+ "language": "Python",
150
+ "lines": 259,
151
+ "truncated": false,
152
+ "block": 7,
153
+ "row": 1395
154
+ },
155
+ {
156
+ "path": "02_Morphing/s06_utils_dsm.py",
157
+ "sha256": "8f163bb72e3d172b39ed2ebe98d6c7a4f5a6a5cd80c9f39841d538315f7a492c",
158
+ "language": "Python",
159
+ "lines": 130,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 39379
163
+ },
164
+ {
165
+ "path": "02_Morphing/s07_convert_cnn_orig.py",
166
+ "sha256": "8200122a00a4fb109bd67720316b4f9d42b0003436f2fcd7ee39bf067505df94",
167
+ "language": "Python",
168
+ "lines": 238,
169
+ "truncated": false,
170
+ "block": 7,
171
+ "row": 2345
172
+ },
173
+ {
174
+ "path": "02_Morphing/s08_train_generator.py",
175
+ "sha256": "19132f5337893091f227d706c4009b6aade9de59af15a2a1e497045d18e74de8",
176
+ "language": "Python",
177
+ "lines": 273,
178
+ "truncated": false,
179
+ "block": 7,
180
+ "row": 4937
181
+ },
182
+ {
183
+ "path": "02_Morphing/s09_extract_horizontal_stats.py",
184
+ "sha256": "e8785e97b4235c19785397596bb7bf9122555ecff363d7cfa9a717db0314a55f",
185
+ "language": "Python",
186
+ "lines": 135,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 42839
190
+ },
191
+ {
192
+ "path": "02_Morphing/s10_morph_ecgs.py",
193
+ "sha256": "df6aee9a8fd99fb1120a4441213a553271c330a1c6185412059a6090ee7501b3",
194
+ "language": "Python",
195
+ "lines": 165,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 43966
199
+ },
200
+ {
201
+ "path": "02_Morphing/s11_prepare_morph_outputs.py",
202
+ "sha256": "6b2cf3e8ce4bfba342c703be9fa0e30070280081db2d0b077a3f15124336379c",
203
+ "language": "Python",
204
+ "lines": 54,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 31189
208
+ },
209
+ {
210
+ "path": "02_Morphing/s12_morph_stats.py",
211
+ "sha256": "509cf87b2e051fced0643b0d81cf6e1162bbaa2ca9b3c77a9b825b66937e6152",
212
+ "language": "Python",
213
+ "lines": 120,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 41400
217
+ },
218
+ {
219
+ "path": "LICENSE",
220
+ "sha256": "e7e2efbb4575317076f44c8843579a017cb0718dbc4da4f72aff51ec8552ca80",
221
+ "language": "License",
222
+ "lines": 157,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 2091
226
+ },
227
+ {
228
+ "path": "README.md",
229
+ "sha256": "36c4df3ccf4a773968895243c9acba8448f2cc49ac4748b6ca51c727b29a6284",
230
+ "language": "Text",
231
+ "lines": 188,
232
+ "truncated": false,
233
+ "block": 8,
234
+ "row": 10630
235
+ },
236
+ {
237
+ "path": "setup.py",
238
+ "sha256": "3935a5fa89c94fabcfbc9a9ba6c5cd9a04869b4b092803bf2d7f12c2f9c4228d",
239
+ "language": "Python",
240
+ "lines": 23,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 24429
244
+ },
245
+ {
246
+ "path": "src/ekg_scd/__init__.py",
247
+ "sha256": "cc90bc9f2156a4c902dde5c5a07277ebde4ad72178c417839bdf4a751465cc3e",
248
+ "language": "Python",
249
+ "lines": 3,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 20568
253
+ },
254
+ {
255
+ "path": "src/ekg_scd/datasets.py",
256
+ "sha256": "885503a79cc8ca2ba92c9d7a69ea5947107a61cdc8d93676014fa6703f4db140",
257
+ "language": "Python",
258
+ "lines": 508,
259
+ "truncated": false,
260
+ "block": 7,
261
+ "row": 9103
262
+ },
263
+ {
264
+ "path": "src/ekg_scd/helpers/definitions.py",
265
+ "sha256": "6121788edc171011e4cb18e7ed119c5dd47c419d2d3b0f85b9059fa854bd35ae",
266
+ "language": "Python",
267
+ "lines": 14,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 23212
271
+ },
272
+ {
273
+ "path": "src/ekg_scd/helpers/models.py",
274
+ "sha256": "6991abcb80d6c606648d71a83ba7d61314e685723f2ed28cb68691e9c64d29db",
275
+ "language": "Python",
276
+ "lines": 70,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 33023
280
+ },
281
+ {
282
+ "path": "src/ekg_scd/helpers/preproc.py",
283
+ "sha256": "672d14e49ffd04dc83bc936d12ac35bc5bd8c05c440093a88542300ea46f0e4f",
284
+ "language": "Python",
285
+ "lines": 654,
286
+ "truncated": false,
287
+ "block": 7,
288
+ "row": 8909
289
+ },
290
+ {
291
+ "path": "src/ekg_scd/helpers/utils.py",
292
+ "sha256": "b82f959cdad3ae551be05d4ce0e2fc0f6adeab14ca6faa5a13c117e8de8eed36",
293
+ "language": "Python",
294
+ "lines": 92,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 32785
298
+ },
299
+ {
300
+ "path": "src/ekg_scd/models/base.py",
301
+ "sha256": "4ddf2f7a72e8d55deff4631f5ec36fa40ffedae495620839b1225e310a71074f",
302
+ "language": "Python",
303
+ "lines": 436,
304
+ "truncated": false,
305
+ "block": 7,
306
+ "row": 6804
307
+ },
308
+ {
309
+ "path": "src/ekg_scd/models/cumulative_probability_layer.py",
310
+ "sha256": "9a025edf72dc03c10c626b5cb2907bb72006068db24f720be83ee3df1f12a825",
311
+ "language": "Python",
312
+ "lines": 46,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 29744
316
+ },
317
+ {
318
+ "path": "src/ekg_scd/models/resnet.py",
319
+ "sha256": "45702e265db7d53bfb4668607f4eba6bbcb860155dcc1c82f5ce667f4c71e364",
320
+ "language": "Python",
321
+ "lines": 571,
322
+ "truncated": false,
323
+ "block": 7,
324
+ "row": 9041
325
+ },
326
+ {
327
+ "path": "src/ekg_scd/predict.py",
328
+ "sha256": "965db1c6a5dfbb42281caf0efda849d385f0573436b210ea2f812dbdc685b6f4",
329
+ "language": "Python",
330
+ "lines": 405,
331
+ "truncated": false,
332
+ "block": 7,
333
+ "row": 6663
334
+ },
335
+ {
336
+ "path": "src/ekg_scd/segmented_ecg.py",
337
+ "sha256": "7f0e978e32d8644409b39fc31f8cbc1c5b10dd3f496dcad4be29da049a0038ff",
338
+ "language": "Python",
339
+ "lines": 166,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 45160
343
+ }
344
+ ]
345
+ }
manifests/69/github.com__macs3-project__macs.json ADDED
@@ -0,0 +1,1020 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/macs3-project/macs",
4
+ "url": "https://github.com/macs3-project/MACS/releases/tag/v2.2.9.1",
5
+ "host": "github.com",
6
+ "commit": "c5443190e3edfeb301cc94acf450e2b2c026a223",
7
+ "license": "BSD-3-Clause",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "6b642122b1286229372eaef08c353b76f3bfa687e6c2057339229c1293a96ddc",
14
+ "language": "License",
15
+ "lines": 28,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1996
19
+ },
20
+ {
21
+ "path": "MACS3/Commands/bdgbroadcall_cmd.py",
22
+ "sha256": "3f98b3068c376e7d20884dbcbe09fcebe3200321dfbf861505fc9315cde8d8a4",
23
+ "language": "Python",
24
+ "lines": 59,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 31086
28
+ },
29
+ {
30
+ "path": "MACS3/Commands/bdgcmp_cmd.py",
31
+ "sha256": "cc17acc566b9a22047663539906281a34031c8926112fa2b9c037eff90d5eefc",
32
+ "language": "Python",
33
+ "lines": 92,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 37068
37
+ },
38
+ {
39
+ "path": "MACS3/Commands/bdgdiff_cmd.py",
40
+ "sha256": "97877c808d94fdec628f721596d47f4442787d83d8c775e455c6b5991c941232",
41
+ "language": "Python",
42
+ "lines": 107,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 38746
46
+ },
47
+ {
48
+ "path": "MACS3/Commands/bdgopt_cmd.py",
49
+ "sha256": "8ac71830487b705c5ce92000648907765b5c68aa87c9ab74ec9940aaf7672723",
50
+ "language": "Python",
51
+ "lines": 64,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 32318
55
+ },
56
+ {
57
+ "path": "MACS3/Commands/bdgpeakcall_cmd.py",
58
+ "sha256": "1d2de7d608197c85c0fa5f41630754ea32ddb0c0cac6a28667ed0c8524e8b549",
59
+ "language": "Python",
60
+ "lines": 65,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 34287
64
+ },
65
+ {
66
+ "path": "MACS3/Commands/callpeak_cmd.py",
67
+ "sha256": "78e08c37b599b1f18875fc8a263616074d076745f0047954fad49352a8486ef1",
68
+ "language": "Python",
69
+ "lines": 417,
70
+ "truncated": false,
71
+ "block": 7,
72
+ "row": 8276
73
+ },
74
+ {
75
+ "path": "MACS3/Commands/callvar_cmd.py",
76
+ "sha256": "3d44aac34069eff723c966f22fe75082e84302155d3b4b5b4bda3965a2fb8e3d",
77
+ "language": "Python",
78
+ "lines": 351,
79
+ "truncated": false,
80
+ "block": 7,
81
+ "row": 7847
82
+ },
83
+ {
84
+ "path": "MACS3/Commands/cmbreps_cmd.py",
85
+ "sha256": "f18de12120acefc4b806f676eb21a79ac6dda4f82eef052803089659b061a8f6",
86
+ "language": "Python",
87
+ "lines": 51,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 29873
91
+ },
92
+ {
93
+ "path": "MACS3/Commands/filterdup_cmd.py",
94
+ "sha256": "0cf1f6183019398bda4744d34547230d168394ff9ab25c8ae2267bb7d7ca0c35",
95
+ "language": "Python",
96
+ "lines": 132,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 40251
100
+ },
101
+ {
102
+ "path": "MACS3/Commands/hmmratac_cmd.py",
103
+ "sha256": "b2544db04659e56df82bbb5cf8f590ab4dfaca3f5825440c09d57463d81c990a",
104
+ "language": "Python",
105
+ "lines": 652,
106
+ "truncated": false,
107
+ "block": 7,
108
+ "row": 10881
109
+ },
110
+ {
111
+ "path": "MACS3/Commands/pileup_cmd.py",
112
+ "sha256": "2f672f5040a3d946ffca39c2e95297dfe754a7071f5367d1efbe77774da3558c",
113
+ "language": "Python",
114
+ "lines": 131,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 40572
118
+ },
119
+ {
120
+ "path": "MACS3/Commands/pileup_v2_cmd.py",
121
+ "sha256": "dda4520de20ef1810d8b551216099461cc6eae6a7ded0744cf5098765e2e6a19",
122
+ "language": "Python",
123
+ "lines": 76,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 34996
127
+ },
128
+ {
129
+ "path": "MACS3/Commands/predictd_cmd.py",
130
+ "sha256": "82218497b3676fbf9bd0fc442d148c8e3524d3733df53c382554ed9e51cef7a4",
131
+ "language": "Python",
132
+ "lines": 119,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 38982
136
+ },
137
+ {
138
+ "path": "MACS3/Commands/randsample_cmd.py",
139
+ "sha256": "adcbc54c071d2547c49559f70610ecc0f20effd3139ec9ed2380c3fe922056b5",
140
+ "language": "Python",
141
+ "lines": 120,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 38479
145
+ },
146
+ {
147
+ "path": "MACS3/Commands/refinepeak_cmd.py",
148
+ "sha256": "5d58eeaac39701087b52a0c0bb30ed628ab818ea11ffcb5f8d339cd88b37d05e",
149
+ "language": "Python",
150
+ "lines": 120,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 38717
154
+ },
155
+ {
156
+ "path": "MACS3/IO/BAM.py",
157
+ "sha256": "eac889b7fb6585517b2b3c27a44be7106a16ee609c92a803ea2403207334ae66",
158
+ "language": "Python",
159
+ "lines": 866,
160
+ "truncated": false,
161
+ "block": 7,
162
+ "row": 10707
163
+ },
164
+ {
165
+ "path": "MACS3/IO/BedGraphIO.py",
166
+ "sha256": "3269c1593bbd9bc84888b16875ad135795ff34c4e4f7f6b12dace039943f8549",
167
+ "language": "Python",
168
+ "lines": 143,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 40139
172
+ },
173
+ {
174
+ "path": "MACS3/IO/OutputWriter.py",
175
+ "sha256": "e4558f91f05438ad8bce9471a02b6fc6d9b2ab95494380a3b647444afbca2674",
176
+ "language": "Python",
177
+ "lines": 301,
178
+ "truncated": false,
179
+ "block": 7,
180
+ "row": 3971
181
+ },
182
+ {
183
+ "path": "MACS3/IO/Parser.py",
184
+ "sha256": "4ef5410390f885dabae2a07048a119aca7c405eee223c96ef315cb19bae384fd",
185
+ "language": "Python",
186
+ "lines": 1570,
187
+ "truncated": false,
188
+ "block": 8,
189
+ "row": 410
190
+ },
191
+ {
192
+ "path": "MACS3/IO/PeakIO.py",
193
+ "sha256": "6378a6d7ac4d96868359a6e8b4df105001145ec9034efa7ac37dcbeebce8bb81",
194
+ "language": "Python",
195
+ "lines": 1577,
196
+ "truncated": false,
197
+ "block": 8,
198
+ "row": 508
199
+ },
200
+ {
201
+ "path": "MACS3/Signal/BedGraph.py",
202
+ "sha256": "7c04bfea19039dc1fa9e632ad0556e8e3ef59ef67845daf295968f2b78c2afdf",
203
+ "language": "Python",
204
+ "lines": 2649,
205
+ "truncated": false,
206
+ "block": 8,
207
+ "row": 995
208
+ },
209
+ {
210
+ "path": "MACS3/Signal/CallPeakUnit.py",
211
+ "sha256": "0e0a85567d76c75161d4eb78a25eaee40732223fa9b68aff9c27a9a4c46a9edc",
212
+ "language": "Python",
213
+ "lines": 2294,
214
+ "truncated": false,
215
+ "block": 8,
216
+ "row": 946
217
+ },
218
+ {
219
+ "path": "MACS3/Signal/FixWidthTrack.py",
220
+ "sha256": "88ad730709345b7392e52565763e21c39f23f2feeebc02e2e14b61f34d5f52a1",
221
+ "language": "Python",
222
+ "lines": 884,
223
+ "truncated": false,
224
+ "block": 7,
225
+ "row": 10716
226
+ },
227
+ {
228
+ "path": "MACS3/Signal/HMMR_EM.py",
229
+ "sha256": "0cc40e65fd375c5c6e60853608a4cdcfa4191d4c4423fe6e5622b17e855355f4",
230
+ "language": "Python",
231
+ "lines": 285,
232
+ "truncated": false,
233
+ "block": 7,
234
+ "row": 4098
235
+ },
236
+ {
237
+ "path": "MACS3/Signal/HMMR_HMM.py",
238
+ "sha256": "906ceaf158e11f00db7e2f981e70a2ece221e10e84c0ac2d4fc8a7f2bb9f1224",
239
+ "language": "Python",
240
+ "lines": 134,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 42678
244
+ },
245
+ {
246
+ "path": "MACS3/Signal/HMMR_Signal_Processing.py",
247
+ "sha256": "308e440976dca33eef970d5dc9bbfbff03572ac1521bc4b429f68c9d1b99d909",
248
+ "language": "Python",
249
+ "lines": 276,
250
+ "truncated": false,
251
+ "block": 7,
252
+ "row": 2299
253
+ },
254
+ {
255
+ "path": "MACS3/Signal/PairedEndTrack.py",
256
+ "sha256": "2b5a566f684e0073ab5e4a13a85b08a1336955443eedd734987ee6b37e80d4e9",
257
+ "language": "Python",
258
+ "lines": 2127,
259
+ "truncated": false,
260
+ "block": 8,
261
+ "row": 822
262
+ },
263
+ {
264
+ "path": "MACS3/Signal/PeakDetect.py",
265
+ "sha256": "8b209999006445dde5aa3128ac33b5b93899e37ca8b8d25498511fc77163e05a",
266
+ "language": "Python",
267
+ "lines": 408,
268
+ "truncated": false,
269
+ "block": 7,
270
+ "row": 7574
271
+ },
272
+ {
273
+ "path": "MACS3/Signal/PeakModel.py",
274
+ "sha256": "917c03b16f03ef761512d6c22ee2c05a5bb96c092265e6f75bc542f188d3b09f",
275
+ "language": "Python",
276
+ "lines": 513,
277
+ "truncated": false,
278
+ "block": 7,
279
+ "row": 8086
280
+ },
281
+ {
282
+ "path": "MACS3/Signal/PeakVariants.py",
283
+ "sha256": "5fcd4a9b073299edd681372ca2f82f93ccdbdef3d62fec7cafd338a957aa5da7",
284
+ "language": "Python",
285
+ "lines": 402,
286
+ "truncated": false,
287
+ "block": 7,
288
+ "row": 5630
289
+ },
290
+ {
291
+ "path": "MACS3/Signal/Pileup.py",
292
+ "sha256": "5f8a2276f39702298ed92d6da203ec5a1e09819531e71c2040a8ca4dc596b402",
293
+ "language": "Python",
294
+ "lines": 991,
295
+ "truncated": false,
296
+ "block": 7,
297
+ "row": 10622
298
+ },
299
+ {
300
+ "path": "MACS3/Signal/PileupV2.py",
301
+ "sha256": "07dcc0ddeb1a36642784f90ae066c482b2ad168906b957227b00d230176d4ad2",
302
+ "language": "Python",
303
+ "lines": 1218,
304
+ "truncated": false,
305
+ "block": 7,
306
+ "row": 11603
307
+ },
308
+ {
309
+ "path": "MACS3/Signal/PosReadsInfo.py",
310
+ "sha256": "9b10b2425cb687b2bd67833e7ff41320f25aba34ab11106988bc8af35e48a678",
311
+ "language": "Python",
312
+ "lines": 670,
313
+ "truncated": false,
314
+ "block": 7,
315
+ "row": 10368
316
+ },
317
+ {
318
+ "path": "MACS3/Signal/Prob.py",
319
+ "sha256": "5aea09646d1b6b44ae14e4eeff319f982e42e45e9ca656ee7692dd44c11f1591",
320
+ "language": "Python",
321
+ "lines": 1027,
322
+ "truncated": false,
323
+ "block": 7,
324
+ "row": 10043
325
+ },
326
+ {
327
+ "path": "MACS3/Signal/RACollection.py",
328
+ "sha256": "c784ba1df61957128301329212c96587539df0bc92cc7edc190475a5c1f4f547",
329
+ "language": "Python",
330
+ "lines": 906,
331
+ "truncated": false,
332
+ "block": 7,
333
+ "row": 11211
334
+ },
335
+ {
336
+ "path": "MACS3/Signal/ReadAlignment.py",
337
+ "sha256": "7e8719c67bbe08d9deee20cf819b5d0d31c56aa8889c196eedebbbf63d7875f9",
338
+ "language": "Python",
339
+ "lines": 540,
340
+ "truncated": false,
341
+ "block": 7,
342
+ "row": 8261
343
+ },
344
+ {
345
+ "path": "MACS3/Signal/Region.py",
346
+ "sha256": "c3442e53303b71854242c814f02c07d299e9992b1554811c5b2267e6062989d8",
347
+ "language": "Python",
348
+ "lines": 618,
349
+ "truncated": false,
350
+ "block": 7,
351
+ "row": 8670
352
+ },
353
+ {
354
+ "path": "MACS3/Signal/ScoreTrack.py",
355
+ "sha256": "956527c78301fdcc29dfc0d3e19581e2a3b78bdf0ed88cd3b562c16ea6ba44fb",
356
+ "language": "Python",
357
+ "lines": 1974,
358
+ "truncated": false,
359
+ "block": 8,
360
+ "row": 753
361
+ },
362
+ {
363
+ "path": "MACS3/Signal/SignalProcessing.py",
364
+ "sha256": "1efaa5c8f55bf794c73419251580bc131e021d90d802af0730ab6b343352e79d",
365
+ "language": "Python",
366
+ "lines": 368,
367
+ "truncated": false,
368
+ "block": 7,
369
+ "row": 5475
370
+ },
371
+ {
372
+ "path": "MACS3/Signal/UnitigRACollection.py",
373
+ "sha256": "82f13869384531748390e604f2561a54e9a0c4f91b2fcd4eaab8eedd58c8b2cf",
374
+ "language": "Python",
375
+ "lines": 324,
376
+ "truncated": false,
377
+ "block": 7,
378
+ "row": 4801
379
+ },
380
+ {
381
+ "path": "MACS3/Signal/VariantStat.py",
382
+ "sha256": "e77f7135ff0782302d0bb439354d78a0974234c85fae8314493e5e3d0735b957",
383
+ "language": "Python",
384
+ "lines": 549,
385
+ "truncated": false,
386
+ "block": 7,
387
+ "row": 6817
388
+ },
389
+ {
390
+ "path": "MACS3/Signal/cPosValCalculation.c",
391
+ "sha256": "2c11f7ba42ea61dcceabb56e34e0c014f373af248790da63814d34a3143f7ef4",
392
+ "language": "C",
393
+ "lines": 520,
394
+ "truncated": false,
395
+ "block": 5,
396
+ "row": 617
397
+ },
398
+ {
399
+ "path": "MACS3/Signal/cPosValCalculation.h",
400
+ "sha256": "2902ce45c9ea5e90b958f1234b10609759ee43311b727fb0399ef1608f769d4a",
401
+ "language": "C/C++",
402
+ "lines": 41,
403
+ "truncated": false,
404
+ "block": 5,
405
+ "row": 6540
406
+ },
407
+ {
408
+ "path": "MACS3/Signal/swalign.c",
409
+ "sha256": "88e662fac35c5918cab31e5f8bf04b203b62270434959b5e2740465106706052",
410
+ "language": "C",
411
+ "lines": 358,
412
+ "truncated": false,
413
+ "block": 5,
414
+ "row": 518
415
+ },
416
+ {
417
+ "path": "MACS3/Signal/swalign.h",
418
+ "sha256": "b25f6bdf062a8af7ef6bcd66360bc52280674bd21d359f1eb205ea56077db56f",
419
+ "language": "C/C++",
420
+ "lines": 82,
421
+ "truncated": false,
422
+ "block": 5,
423
+ "row": 6864
424
+ },
425
+ {
426
+ "path": "MACS3/Utilities/Constants.py",
427
+ "sha256": "82ff6f875e6f6904c2a16a7c9e7c3de69c654e715cb91bcdd553d6cf3bd66761",
428
+ "language": "Python",
429
+ "lines": 14,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 23504
433
+ },
434
+ {
435
+ "path": "MACS3/Utilities/Logger.py",
436
+ "sha256": "c968ffed87e632c3d28178ebaaf0da2c66ef49b7479c0824416709a7531a8238",
437
+ "language": "Python",
438
+ "lines": 34,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 26230
442
+ },
443
+ {
444
+ "path": "MACS3/Utilities/OptValidator.py",
445
+ "sha256": "2bb6f809c6d19e52126c50008143b4644e4b2c0e4043bd34d67b15176bea031a",
446
+ "language": "Python",
447
+ "lines": 809,
448
+ "truncated": false,
449
+ "block": 7,
450
+ "row": 10353
451
+ },
452
+ {
453
+ "path": "MACS3/__init__.py",
454
+ "sha256": "4de728602fcb0173c75d032abb61221ecd24077f818e42a418a28068b9c24910",
455
+ "language": "Python",
456
+ "lines": 1,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 20382
460
+ },
461
+ {
462
+ "path": "MACS3/fermi-lite/bfc.c",
463
+ "sha256": "6dec860282e4cea68cb44b559298f10879f94cf075f2e05562f0f085782d8a41",
464
+ "language": "C",
465
+ "lines": 683,
466
+ "truncated": false,
467
+ "block": 5,
468
+ "row": 733
469
+ },
470
+ {
471
+ "path": "MACS3/fermi-lite/bseq.c",
472
+ "sha256": "6e8d8bd6bd37068987a98dc83dae94f287bdefba1466165d20f90d477d0cb9c5",
473
+ "language": "C",
474
+ "lines": 61,
475
+ "truncated": false,
476
+ "block": 5,
477
+ "row": 78
478
+ },
479
+ {
480
+ "path": "MACS3/fermi-lite/bubble.c",
481
+ "sha256": "4729e842fd65bc5a7feb3d5f1174361fb91e807328397e16f8c07373a7dca4c7",
482
+ "language": "C",
483
+ "lines": 366,
484
+ "truncated": false,
485
+ "block": 5,
486
+ "row": 578
487
+ },
488
+ {
489
+ "path": "MACS3/fermi-lite/example.c",
490
+ "sha256": "8b349eecf475a720535ba4fe2b2372e89a1f484fc89cc808267f06a64c866ca1",
491
+ "language": "C",
492
+ "lines": 50,
493
+ "truncated": false,
494
+ "block": 5,
495
+ "row": 160
496
+ },
497
+ {
498
+ "path": "MACS3/fermi-lite/fml.h",
499
+ "sha256": "8896589c502625cc074437da56ecfbb293dd30dd5a99ba455d4e051d1ee36b29",
500
+ "language": "C/C++",
501
+ "lines": 197,
502
+ "truncated": false,
503
+ "block": 5,
504
+ "row": 7879
505
+ },
506
+ {
507
+ "path": "MACS3/fermi-lite/htab.c",
508
+ "sha256": "f7c72e0de545995a63ec82befe4c81000af700af6def0fc30c2d550e55613bd1",
509
+ "language": "C",
510
+ "lines": 132,
511
+ "truncated": false,
512
+ "block": 5,
513
+ "row": 203
514
+ },
515
+ {
516
+ "path": "MACS3/fermi-lite/htab.h",
517
+ "sha256": "e4be3287e457fbb55f9f90ed19052f2a46cc60aff635ff6dd79de2746145d60e",
518
+ "language": "C/C++",
519
+ "lines": 23,
520
+ "truncated": false,
521
+ "block": 5,
522
+ "row": 5822
523
+ },
524
+ {
525
+ "path": "MACS3/fermi-lite/internal.h",
526
+ "sha256": "98efba8606088e94c08c866dfbd6ff2b00a1b10f69f44ff09bb5e82d499448f6",
527
+ "language": "C/C++",
528
+ "lines": 21,
529
+ "truncated": false,
530
+ "block": 5,
531
+ "row": 5721
532
+ },
533
+ {
534
+ "path": "MACS3/fermi-lite/khash.h",
535
+ "sha256": "bca9e76830d8ec8d801a00af53b0b5cefbffe5b90666ea0e968ca31cc96b56fa",
536
+ "language": "C/C++",
537
+ "lines": 614,
538
+ "truncated": false,
539
+ "block": 5,
540
+ "row": 9486
541
+ },
542
+ {
543
+ "path": "MACS3/fermi-lite/kmer.h",
544
+ "sha256": "e52c8708fc27c632c3a964865b2fce4d438935bd40fc4f72fea7419bd8cfce45",
545
+ "language": "C/C++",
546
+ "lines": 106,
547
+ "truncated": false,
548
+ "block": 5,
549
+ "row": 7113
550
+ },
551
+ {
552
+ "path": "MACS3/fermi-lite/kseq.h",
553
+ "sha256": "50268e7088871aa24d3ed06f61d1dc20ccddd3cda1db31b729b671e6c0aa9293",
554
+ "language": "C/C++",
555
+ "lines": 248,
556
+ "truncated": false,
557
+ "block": 5,
558
+ "row": 8624
559
+ },
560
+ {
561
+ "path": "MACS3/fermi-lite/ksort.h",
562
+ "sha256": "00a2b3c9c08f6b12c7cdfbf90b8fc4052e6cd06e61136ae400fa6b940499920b",
563
+ "language": "C/C++",
564
+ "lines": 309,
565
+ "truncated": false,
566
+ "block": 5,
567
+ "row": 8842
568
+ },
569
+ {
570
+ "path": "MACS3/fermi-lite/kstring.h",
571
+ "sha256": "6f222197c0457c007cbd9bca5b265cf58d4ebf0813c1a6f15b9f9342f7bf2a68",
572
+ "language": "C/C++",
573
+ "lines": 169,
574
+ "truncated": false,
575
+ "block": 5,
576
+ "row": 7709
577
+ },
578
+ {
579
+ "path": "MACS3/fermi-lite/ksw.c",
580
+ "sha256": "bc5def02ae152aa45b7b87793c4794d47dd4c64f413fce81870164e5e895b0ab",
581
+ "language": "C",
582
+ "lines": 359,
583
+ "truncated": false,
584
+ "block": 5,
585
+ "row": 579
586
+ },
587
+ {
588
+ "path": "MACS3/fermi-lite/ksw.h",
589
+ "sha256": "2428dabad7f87d9860bfb35dc05e7c4db74f936b220536df82301d5e2ad429fd",
590
+ "language": "C/C++",
591
+ "lines": 71,
592
+ "truncated": false,
593
+ "block": 5,
594
+ "row": 6930
595
+ },
596
+ {
597
+ "path": "MACS3/fermi-lite/kthread.c",
598
+ "sha256": "f9865db8f65d978475e0fe76397b42b673056ae32a89fe36880ca41a1ae35bdf",
599
+ "language": "C",
600
+ "lines": 67,
601
+ "truncated": false,
602
+ "block": 5,
603
+ "row": 104
604
+ },
605
+ {
606
+ "path": "MACS3/fermi-lite/kvec.h",
607
+ "sha256": "b12ea544374c76072bdc3cbbb5f92910f620595a10fceed6083a69f9e76754e5",
608
+ "language": "C/C++",
609
+ "lines": 110,
610
+ "truncated": false,
611
+ "block": 5,
612
+ "row": 7279
613
+ },
614
+ {
615
+ "path": "MACS3/fermi-lite/mag.c",
616
+ "sha256": "ffa78f543fd2dfbf2f5badaeb551b836c2cf6c5237147a5fe5ba8c224840b934",
617
+ "language": "C",
618
+ "lines": 620,
619
+ "truncated": false,
620
+ "block": 5,
621
+ "row": 703
622
+ },
623
+ {
624
+ "path": "MACS3/fermi-lite/mag.h",
625
+ "sha256": "d9fcc6f1fdcd3e81ccdbc93d64fd640c284e2d390c22815ba7cbde06d9341d0f",
626
+ "language": "C/C++",
627
+ "lines": 69,
628
+ "truncated": false,
629
+ "block": 5,
630
+ "row": 6671
631
+ },
632
+ {
633
+ "path": "MACS3/fermi-lite/misc.c",
634
+ "sha256": "6035b298ead115606fd4455ef6c4e743e416430477d77f90a62fd1cc052db0f1",
635
+ "language": "C",
636
+ "lines": 294,
637
+ "truncated": false,
638
+ "block": 5,
639
+ "row": 458
640
+ },
641
+ {
642
+ "path": "MACS3/fermi-lite/mrope.c",
643
+ "sha256": "9c70e63e7d3cd5506687fa23f6d58e660c3626747ca0fb34c28913e727fd84d7",
644
+ "language": "C",
645
+ "lines": 307,
646
+ "truncated": false,
647
+ "block": 5,
648
+ "row": 486
649
+ },
650
+ {
651
+ "path": "MACS3/fermi-lite/mrope.h",
652
+ "sha256": "e2fd2316ed7ad1b740116d568395e192cf7b55b0da925b661753018ef1cbba24",
653
+ "language": "C/C++",
654
+ "lines": 114,
655
+ "truncated": false,
656
+ "block": 5,
657
+ "row": 7010
658
+ },
659
+ {
660
+ "path": "MACS3/fermi-lite/rld0.c",
661
+ "sha256": "fb9e78a972a75655b4fac341ff078585cf6954c6f403822afb6c1d725e9c58ad",
662
+ "language": "C",
663
+ "lines": 489,
664
+ "truncated": false,
665
+ "block": 5,
666
+ "row": 599
667
+ },
668
+ {
669
+ "path": "MACS3/fermi-lite/rld0.h",
670
+ "sha256": "83a4f3156856773aa4c8bc3ca320827c7981fcec8174f11d30a20a8ef256a2af",
671
+ "language": "C/C++",
672
+ "lines": 137,
673
+ "truncated": false,
674
+ "block": 5,
675
+ "row": 7661
676
+ },
677
+ {
678
+ "path": "MACS3/fermi-lite/rle.c",
679
+ "sha256": "4584eda1447326efc187b4d51a43fa474baf1b0c1a742fdbff43763a26c29cdc",
680
+ "language": "C",
681
+ "lines": 191,
682
+ "truncated": false,
683
+ "block": 2,
684
+ "row": 14
685
+ },
686
+ {
687
+ "path": "MACS3/fermi-lite/rle.h",
688
+ "sha256": "ea7f320feea06ddb1235284fcac7b662e22ae21755fcf389090b88c76725a1dc",
689
+ "language": "C/C++",
690
+ "lines": 78,
691
+ "truncated": false,
692
+ "block": 5,
693
+ "row": 6651
694
+ },
695
+ {
696
+ "path": "MACS3/fermi-lite/rope.c",
697
+ "sha256": "86699f74a8a4d7ad77472d65bcfc69fb7003aaed97adae94246f05fb51afd8da",
698
+ "language": "C",
699
+ "lines": 219,
700
+ "truncated": false,
701
+ "block": 5,
702
+ "row": 416
703
+ },
704
+ {
705
+ "path": "MACS3/fermi-lite/rope.h",
706
+ "sha256": "55a0233dd76bf38dfb879c3119e6cad842cb3df0dbc994e6c8a3e54d582eabc8",
707
+ "language": "C/C++",
708
+ "lines": 54,
709
+ "truncated": false,
710
+ "block": 5,
711
+ "row": 6335
712
+ },
713
+ {
714
+ "path": "MACS3/fermi-lite/unitig.c",
715
+ "sha256": "9536565bc781e7e261d7af8b10ed0c06b904f8987aafd0ac45da3b329aba9fac",
716
+ "language": "C",
717
+ "lines": 455,
718
+ "truncated": false,
719
+ "block": 5,
720
+ "row": 652
721
+ },
722
+ {
723
+ "path": "README.md",
724
+ "sha256": "134ec996b4f33baac2e374ba4edc4f3a7aa542a89b9d780c5cc26cea418b6b74",
725
+ "language": "Text",
726
+ "lines": 94,
727
+ "truncated": false,
728
+ "block": 8,
729
+ "row": 10425
730
+ },
731
+ {
732
+ "path": "docs/source/conf.py",
733
+ "sha256": "3cb9c364e3a5eaf107ec8fe97190f59fa5b0652dd40ff244e6b1db99c2446f54",
734
+ "language": "Python",
735
+ "lines": 116,
736
+ "truncated": false,
737
+ "block": 6,
738
+ "row": 37204
739
+ },
740
+ {
741
+ "path": "notebooks/10k-PBMC-test/macs3-scATAC-pbmc-10k.ipynb",
742
+ "sha256": "f5992aac327e8f7fc3ba60245b7e7ede4dc946366ce9b7624ef89b80d03d0f8d",
743
+ "language": "Jupyter",
744
+ "lines": 392,
745
+ "truncated": false,
746
+ "block": 6,
747
+ "row": 391
748
+ },
749
+ {
750
+ "path": "notebooks/500-PBMC-test/anndata_implemetation_dev.ipynb",
751
+ "sha256": "080dd0df21e5e0bd3120aa77b740c7354137386f8f860b346ad85b7a3524eb4e",
752
+ "language": "Jupyter",
753
+ "lines": 320,
754
+ "truncated": false,
755
+ "block": 6,
756
+ "row": 120
757
+ },
758
+ {
759
+ "path": "notebooks/500-PBMC-test/macs3-scATAC-pbmc-500-anndata.ipynb",
760
+ "sha256": "6ff23193ba9059a5aadb66b77b9bd06a3644ed450930e177f15b56d1759297cc",
761
+ "language": "Jupyter",
762
+ "lines": 447,
763
+ "truncated": false,
764
+ "block": 6,
765
+ "row": 442
766
+ },
767
+ {
768
+ "path": "notebooks/500-PBMC-test/macs3-scATAC-pbmc-500.ipynb",
769
+ "sha256": "9e3db9d8651d6b210ce3416b148f364e1510d3642bbc6c3cc6900c9d8a2072b7",
770
+ "language": "Jupyter",
771
+ "lines": 367,
772
+ "truncated": false,
773
+ "block": 6,
774
+ "row": 297
775
+ },
776
+ {
777
+ "path": "scripts/benchmark_pileup_mlx.py",
778
+ "sha256": "3d60be036b7fef7662ef08275ec78135f689bb9dc21b4e4b0c4d2f9c7f3476da",
779
+ "language": "Python",
780
+ "lines": 270,
781
+ "truncated": false,
782
+ "block": 7,
783
+ "row": 4051
784
+ },
785
+ {
786
+ "path": "scripts/benchmark_scoretrack_torch.py",
787
+ "sha256": "d091b1c39a0bc4317c576966e473613d0dc12498554aa947e4179546cb1622f3",
788
+ "language": "Python",
789
+ "lines": 93,
790
+ "truncated": false,
791
+ "block": 6,
792
+ "row": 35761
793
+ },
794
+ {
795
+ "path": "scripts/build_docs.py",
796
+ "sha256": "9feda7c63df6426d7e56bd85420863b700961b35804b3ad55624e8f88ec2d1fd",
797
+ "language": "Python",
798
+ "lines": 112,
799
+ "truncated": false,
800
+ "block": 6,
801
+ "row": 36186
802
+ },
803
+ {
804
+ "path": "scripts/run_macs3_release_benchmark.sh",
805
+ "sha256": "7e941de7e39ab28179f6689eb4a1da64788d5b7304aa5d8790475568aaab2e97",
806
+ "language": "Shell",
807
+ "lines": 223,
808
+ "truncated": false,
809
+ "block": 8,
810
+ "row": 9145
811
+ },
812
+ {
813
+ "path": "scripts/run_macs_version_survey.sh",
814
+ "sha256": "75261fb40afadf57f0fc896b02fc286ce3ca97cb9a2aff99363356f2d0779a86",
815
+ "language": "Shell",
816
+ "lines": 263,
817
+ "truncated": false,
818
+ "block": 8,
819
+ "row": 9187
820
+ },
821
+ {
822
+ "path": "scripts/summarize_macs3_release_benchmark.py",
823
+ "sha256": "bb00479fabca324b00dd7304cbdaf2f7eae1fa231b7f53f8d240fc2abd1d3c45",
824
+ "language": "Python",
825
+ "lines": 218,
826
+ "truncated": false,
827
+ "block": 7,
828
+ "row": 52
829
+ },
830
+ {
831
+ "path": "scripts/summarize_macs_version_survey.py",
832
+ "sha256": "01b95b40e01ccca8302dc420595433b5f725f751a82201b7ad1e92cc6ba15855",
833
+ "language": "Python",
834
+ "lines": 108,
835
+ "truncated": false,
836
+ "block": 6,
837
+ "row": 37351
838
+ },
839
+ {
840
+ "path": "setup.py",
841
+ "sha256": "13a32f8c54cfad3ffca42abe5a91cd25b1922c99acef5106c3c377fc77b36563",
842
+ "language": "Python",
843
+ "lines": 201,
844
+ "truncated": false,
845
+ "block": 7,
846
+ "row": 2262
847
+ },
848
+ {
849
+ "path": "test/jaccard.py",
850
+ "sha256": "0a1da642444b9d51bdff6e79ce096dcad6e40ac26c9926dc4b0f2b22807d67d7",
851
+ "language": "Python",
852
+ "lines": 50,
853
+ "truncated": false,
854
+ "block": 6,
855
+ "row": 28367
856
+ },
857
+ {
858
+ "path": "test/test_BAMBAI.py",
859
+ "sha256": "62b6eeeabf5742735ea71a880bab2b2b5aebdeb607fe16bbb9f743f20fd23c52",
860
+ "language": "Python",
861
+ "lines": 110,
862
+ "truncated": false,
863
+ "block": 6,
864
+ "row": 38416
865
+ },
866
+ {
867
+ "path": "test/test_BedGraph.py",
868
+ "sha256": "9bbb7bf1a315775d9dff7ad61366b93b97e935548a640a2c0fb5bea62c40909f",
869
+ "language": "Python",
870
+ "lines": 100,
871
+ "truncated": false,
872
+ "block": 6,
873
+ "row": 38403
874
+ },
875
+ {
876
+ "path": "test/test_BedGraphIO.py",
877
+ "sha256": "b4f1443bf0c24969616eda85aa75907fae42ee89b136e30eea90d3801836b3f7",
878
+ "language": "Python",
879
+ "lines": 113,
880
+ "truncated": false,
881
+ "block": 6,
882
+ "row": 39396
883
+ },
884
+ {
885
+ "path": "test/test_CallPeakUnit.py",
886
+ "sha256": "6761a3a9eecb0019af06f8a412920dad6b0ddae6af48ee3eee1d67eacebed052",
887
+ "language": "Python",
888
+ "lines": 203,
889
+ "truncated": false,
890
+ "block": 7,
891
+ "row": 43
892
+ },
893
+ {
894
+ "path": "test/test_FixWidthTrack.py",
895
+ "sha256": "c3dbd1b4aacf6f68c7ec16180d8aae7625fe914dafacbd23f176b7818c4f281e",
896
+ "language": "Python",
897
+ "lines": 92,
898
+ "truncated": false,
899
+ "block": 6,
900
+ "row": 36242
901
+ },
902
+ {
903
+ "path": "test/test_HMMR_HMM.py",
904
+ "sha256": "7bd5c78ee1808819ce0d76aeaa58e0789098df23e9f9f4749ba79f8583d01db5",
905
+ "language": "Python",
906
+ "lines": 96,
907
+ "truncated": false,
908
+ "block": 6,
909
+ "row": 42058
910
+ },
911
+ {
912
+ "path": "test/test_HMMR_poisson.py",
913
+ "sha256": "75264260383c288f823e923832e7e794b1cf404a53f493731ab955b34e7e3a61",
914
+ "language": "Python",
915
+ "lines": 89,
916
+ "truncated": false,
917
+ "block": 6,
918
+ "row": 40660
919
+ },
920
+ {
921
+ "path": "test/test_PairedEndTrack.py",
922
+ "sha256": "4fb8a6a6e33f2340d859787e0ef102d6b508cfecff03213b9128333b9c06d85d",
923
+ "language": "Python",
924
+ "lines": 440,
925
+ "truncated": false,
926
+ "block": 7,
927
+ "row": 8250
928
+ },
929
+ {
930
+ "path": "test/test_Parser.py",
931
+ "sha256": "810aa6acf99bbea57cdea05bb0e738575122e97f1bd0d143e75528104b7c73b2",
932
+ "language": "Python",
933
+ "lines": 48,
934
+ "truncated": false,
935
+ "block": 6,
936
+ "row": 28747
937
+ },
938
+ {
939
+ "path": "test/test_PeakDetect.py",
940
+ "sha256": "0b524be5a82eef9389978b979e343733a9ea04b7989508b05042e65c0cf734ed",
941
+ "language": "Python",
942
+ "lines": 218,
943
+ "truncated": false,
944
+ "block": 7,
945
+ "row": 539
946
+ },
947
+ {
948
+ "path": "test/test_PeakIO.py",
949
+ "sha256": "df19205cfadd602c4ab50df3b276c173f27e9386f6f05ccd00df8ee61a96d821",
950
+ "language": "Python",
951
+ "lines": 54,
952
+ "truncated": false,
953
+ "block": 6,
954
+ "row": 33006
955
+ },
956
+ {
957
+ "path": "test/test_PeakModel.py",
958
+ "sha256": "c1b63f6788c32ea87b3a671232331865a0762806ae8e1b2086a90f013080526f",
959
+ "language": "Python",
960
+ "lines": 145,
961
+ "truncated": false,
962
+ "block": 6,
963
+ "row": 41126
964
+ },
965
+ {
966
+ "path": "test/test_Pileup.py",
967
+ "sha256": "c1aeb7e5b9ea523722fd3524846bd0e445e2ead525e69f8430795aed3e1d203c",
968
+ "language": "Python",
969
+ "lines": 452,
970
+ "truncated": false,
971
+ "block": 7,
972
+ "row": 7920
973
+ },
974
+ {
975
+ "path": "test/test_Prob.py",
976
+ "sha256": "54b11e181f0529183806a21d952c940d11161bb9599c03a2b353a6f17a52aaa9",
977
+ "language": "Python",
978
+ "lines": 176,
979
+ "truncated": false,
980
+ "block": 6,
981
+ "row": 43632
982
+ },
983
+ {
984
+ "path": "test/test_Region.py",
985
+ "sha256": "026fff397eddf0df11dee9707aa1424840d1349c7b4f7ade382c7be22967ad17",
986
+ "language": "Python",
987
+ "lines": 103,
988
+ "truncated": false,
989
+ "block": 6,
990
+ "row": 40032
991
+ },
992
+ {
993
+ "path": "test/test_ScoreTrack.py",
994
+ "sha256": "9a6926a1d65b9780968fb0042193862aa290f50d889d1fa2df2b05e789354a7f",
995
+ "language": "Python",
996
+ "lines": 300,
997
+ "truncated": false,
998
+ "block": 7,
999
+ "row": 5144
1000
+ },
1001
+ {
1002
+ "path": "test/test_SignalProcessing.py",
1003
+ "sha256": "0275419e125d713a7922754c0c23889bdb11680ec5bd3316d7bd54240be0a329",
1004
+ "language": "Python",
1005
+ "lines": 136,
1006
+ "truncated": false,
1007
+ "block": 6,
1008
+ "row": 44341
1009
+ },
1010
+ {
1011
+ "path": "test/test_online.py",
1012
+ "sha256": "934b86053406b30ab93e5669084a16e61a754caed1aed548f50ac246f48d68bc",
1013
+ "language": "Python",
1014
+ "lines": 42,
1015
+ "truncated": false,
1016
+ "block": 6,
1017
+ "row": 29180
1018
+ }
1019
+ ]
1020
+ }
manifests/69/github.com__sjcabs__fly_connectome_data_tutorial.json ADDED
@@ -0,0 +1,174 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/sjcabs/fly_connectome_data_tutorial",
4
+ "url": "https://github.com/sjcabs/fly_connectome_data_tutorial",
5
+ "host": "github.com",
6
+ "commit": "85c66244cfb2c02b2442905c4428b42a0d8e6656",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "5a32d793b3b68f0d9443ce84f3db58b708dc11893afd797590d26846d867ad3c",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1905
19
+ },
20
+ {
21
+ "path": "R/01_data_access.Rmd",
22
+ "sha256": "c4219d35650ed18adb1c96c2c88ab38f6426fd343123baaaee7d2db610b74778",
23
+ "language": "R",
24
+ "lines": 609,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 4853
28
+ },
29
+ {
30
+ "path": "R/02_neuron_morphology.Rmd",
31
+ "sha256": "972074ad660fe12e8674afb20c881a6eb7bfcd31a297b7d0b2ecaf0077e031a2",
32
+ "language": "R",
33
+ "lines": 919,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 5032
37
+ },
38
+ {
39
+ "path": "R/03_connectivity_analyses.Rmd",
40
+ "sha256": "c98e7f89c856c0fe1e16da9936e587cd300a7960433fb47913426b0513fde701",
41
+ "language": "R",
42
+ "lines": 1660,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 5162
46
+ },
47
+ {
48
+ "path": "R/04_indirect_connectivity.Rmd",
49
+ "sha256": "b4dabc060b0c4a0df3baa46d1b43ef980d337eee1e9ddc18a804df4c7bf09d37",
50
+ "language": "R",
51
+ "lines": 1238,
52
+ "truncated": false,
53
+ "block": 8,
54
+ "row": 5119
55
+ },
56
+ {
57
+ "path": "R/05_transcriptomics.Rmd",
58
+ "sha256": "fd6e23a637d82445613efed7aea732b52924f88f65c63f46df02360952e6056b",
59
+ "language": "R",
60
+ "lines": 1296,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 5111
64
+ },
65
+ {
66
+ "path": "R/setup/functions.R",
67
+ "sha256": "abeb43aa8da788cc97a5cca5fa9ee0d88ab8997184273ae16c3ca965048c2049",
68
+ "language": "R",
69
+ "lines": 1208,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 5090
73
+ },
74
+ {
75
+ "path": "R/setup/gcs_parquet_lazy.py",
76
+ "sha256": "dca595e6454681d6689ced3239e32a3b3ee8bf316d1d9e2086296e44e18b3428",
77
+ "language": "Python",
78
+ "lines": 61,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 31802
82
+ },
83
+ {
84
+ "path": "R/setup/gcs_parquet_reader.py",
85
+ "sha256": "f62ce8c21785d577fdf0edf94bb8bfaa19a69a347dc2fd43497dc27558e121d2",
86
+ "language": "Python",
87
+ "lines": 82,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 35088
91
+ },
92
+ {
93
+ "path": "R/setup/packages.R",
94
+ "sha256": "8f0cfd9a033a9af454715b5227d9ac97944e764ae579cbf10289ed48846cbc78",
95
+ "language": "R",
96
+ "lines": 173,
97
+ "truncated": false,
98
+ "block": 8,
99
+ "row": 3234
100
+ },
101
+ {
102
+ "path": "README.md",
103
+ "sha256": "163e3a390a16639289d93344c07b37d7abcbf9bcb327d1dbd579497f7fd4b6bb",
104
+ "language": "Text",
105
+ "lines": 491,
106
+ "truncated": false,
107
+ "block": 8,
108
+ "row": 10912
109
+ },
110
+ {
111
+ "path": "inst/fly_connectome_data_tutorial_sjcabs_env.sh",
112
+ "sha256": "746677783b1786f175b1b06e278cb6150605ed12d776cfd1973347468ffd2c72",
113
+ "language": "Shell",
114
+ "lines": 165,
115
+ "truncated": false,
116
+ "block": 8,
117
+ "row": 9063
118
+ },
119
+ {
120
+ "path": "inst/install_reticulate_dependencies.sh",
121
+ "sha256": "7f90f4214b586d9b5dcca86b75e2eec38bff6a0190130a28cb77ca389e1601af",
122
+ "language": "Shell",
123
+ "lines": 189,
124
+ "truncated": false,
125
+ "block": 8,
126
+ "row": 9113
127
+ },
128
+ {
129
+ "path": "python/fly_connectome_01_data_access.ipynb",
130
+ "sha256": "eaeb82f1f275d704a379ae598efa84fd636772f03a8dfe9a79c5eeb12d319d7b",
131
+ "language": "Jupyter",
132
+ "lines": 673,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 887
136
+ },
137
+ {
138
+ "path": "python/fly_connectome_02_neuron_morphology.ipynb",
139
+ "sha256": "4fe2e6cbde6d02ad274fc69a7e47bf3bd7699a1dfc923f55ffd6612df50e45e3",
140
+ "language": "Jupyter",
141
+ "lines": 2385,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 1267
145
+ },
146
+ {
147
+ "path": "python/fly_connectome_03_connectivity_analyses.ipynb",
148
+ "sha256": "d45a5e176b94c43398841011f7adea657b12236be1fa388a51ecb504d1de21f9",
149
+ "language": "Jupyter",
150
+ "lines": 1648,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 1221
154
+ },
155
+ {
156
+ "path": "python/fly_connectome_04_indirect_connectivity.ipynb",
157
+ "sha256": "0787b0264036ab38cff66f344988c565ff4e07f3448fca4c0ff476e4af9d7c6c",
158
+ "language": "Jupyter",
159
+ "lines": 1165,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 1153
163
+ },
164
+ {
165
+ "path": "python/fly_connectome_05_transcriptomics.ipynb",
166
+ "sha256": "e16a484aba93723033abbdb5827456f0ecd31b6b855add7a13fab14d9e180abe",
167
+ "language": "Jupyter",
168
+ "lines": 981,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 1067
172
+ }
173
+ ]
174
+ }
manifests/69/github.com__yttrilab__b-soid.json ADDED
@@ -0,0 +1,1047 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/yttrilab/b-soid",
4
+ "url": "https://github.com/YttriLab/B-SOID",
5
+ "host": "github.com",
6
+ "commit": "a19b935142ac75d4a2991fbde1f9211df8f69e43",
7
+ "license": "GPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",
14
+ "language": "License",
15
+ "lines": 674,
16
+ "truncated": false,
17
+ "block": 1,
18
+ "row": 2235
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "9621966234476591c4d332a1885728d809dae24438d77f92461f1de76060e908",
23
+ "language": "Text",
24
+ "lines": 125,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10509
28
+ },
29
+ {
30
+ "path": "analyses/RunLength_2017_04_08/InstallMex.m",
31
+ "sha256": "e8a2547cab52fe1576ea62048dfe5ab64d620fe8e33b1f73461626fe83940804",
32
+ "language": "MATLAB",
33
+ "lines": 307,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 17728
37
+ },
38
+ {
39
+ "path": "analyses/RunLength_2017_04_08/RunLength.c",
40
+ "sha256": "4757590a32aeb8cd7b60bb8756b459d8ffdfa6cc9c88982f5381e782844fb21b",
41
+ "language": "C",
42
+ "lines": 459,
43
+ "truncated": false,
44
+ "block": 5,
45
+ "row": 682
46
+ },
47
+ {
48
+ "path": "analyses/RunLength_2017_04_08/RunLength.m",
49
+ "sha256": "53627340ca5d91cb3c28b71d5203e9cf7925108f49e2de82cbd2940cffacee65",
50
+ "language": "MATLAB",
51
+ "lines": 77,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 12612
55
+ },
56
+ {
57
+ "path": "analyses/RunLength_2017_04_08/RunLength_M.m",
58
+ "sha256": "32dd40cb81f52e9115e8d0b6ad56c7f1443f724ac98a134f584fded21a91936c",
59
+ "language": "MATLAB",
60
+ "lines": 162,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 16047
64
+ },
65
+ {
66
+ "path": "analyses/RunLength_2017_04_08/uTest_RunLength.m",
67
+ "sha256": "b53911c2bcf29e8b7306bbd31275a7570e775cc117c0b9c3e5dd44f51c7583c1",
68
+ "language": "MATLAB",
69
+ "lines": 588,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 18516
73
+ },
74
+ {
75
+ "path": "analyses/analysis_main.m",
76
+ "sha256": "42c2dd9d22b649d0a407ed4215fb7a287eb3df23fa30cacfe492d5c1f9340af5",
77
+ "language": "MATLAB",
78
+ "lines": 53,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 11393
82
+ },
83
+ {
84
+ "path": "analyses/getkin.m",
85
+ "sha256": "a63335c0954f95b7b0bd95831b3e00d156981e9ee1cc30b746e08da6a7a0698d",
86
+ "language": "MATLAB",
87
+ "lines": 149,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 17206
91
+ },
92
+ {
93
+ "path": "analyses/histfeats.m",
94
+ "sha256": "6b674aba9ccc06ce579d7a7a5bbde8f6f8fa4927707adc2ba1004ef6672447a4",
95
+ "language": "MATLAB",
96
+ "lines": 133,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 16646
100
+ },
101
+ {
102
+ "path": "analyses/kin_analysis.m",
103
+ "sha256": "8d57471dae485f10a80f734db965fc42264007d4d3092daf3a76089ba2011b20",
104
+ "language": "MATLAB",
105
+ "lines": 32,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 6543
109
+ },
110
+ {
111
+ "path": "analyses/plot_tmat.m",
112
+ "sha256": "cc11eb13849c4ccb056519f87f0224163f72deee8e0e46d6071527a299630ad9",
113
+ "language": "MATLAB",
114
+ "lines": 30,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 9144
118
+ },
119
+ {
120
+ "path": "bsoid/action_gif2.m",
121
+ "sha256": "5611794533210bb231302e26fb3cb3eed5c27de7bdea6d698339fc4ea4fc8c13",
122
+ "language": "MATLAB",
123
+ "lines": 78,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 12708
127
+ },
128
+ {
129
+ "path": "bsoid/adp_filt.m",
130
+ "sha256": "d659146da308011f7cbd9370ab3b3eaa318b01ef822fd2729afd570ec9839412",
131
+ "language": "MATLAB",
132
+ "lines": 48,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 10145
136
+ },
137
+ {
138
+ "path": "bsoid/bsoid_assign.m",
139
+ "sha256": "2dacdc2315b1228b7f7ca39de9c4d965a8fb3d6f0529fe425138e2b1405cc6d7",
140
+ "language": "MATLAB",
141
+ "lines": 171,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 17222
145
+ },
146
+ {
147
+ "path": "bsoid/bsoid_fsml.m",
148
+ "sha256": "7e8880ed27461d487e3a22285c98efe4e362b02712645d5f784999213680e6d3",
149
+ "language": "MATLAB",
150
+ "lines": 46,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 10400
154
+ },
155
+ {
156
+ "path": "bsoid/bsoid_master_v1p2.m",
157
+ "sha256": "7149e23949501427120c743d9eff510ba375de829ac4c6efc9e91b1306038304",
158
+ "language": "MATLAB",
159
+ "lines": 56,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 13400
163
+ },
164
+ {
165
+ "path": "bsoid/bsoid_mdl2.m",
166
+ "sha256": "866fa7399adf64e58d5006bdccb2f0643ff31d9bc23a21b3f253e701f9360cc2",
167
+ "language": "MATLAB",
168
+ "lines": 61,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 12005
172
+ },
173
+ {
174
+ "path": "bsoid/bsoid_mt.m",
175
+ "sha256": "b1c5e22b23d8686d802f62fa305bac47ee89319681cca0c61c12e4c7bccf2ef1",
176
+ "language": "MATLAB",
177
+ "lines": 126,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 17348
181
+ },
182
+ {
183
+ "path": "bsoid/bsoid_svm.m",
184
+ "sha256": "bcf4056aa9ce16e5d2c217f91ed21ae29cb82b80eb8e142e457d8ab9e8dc3dc3",
185
+ "language": "MATLAB",
186
+ "lines": 79,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 15270
190
+ },
191
+ {
192
+ "path": "bsoid/em_gmm.m",
193
+ "sha256": "0ad8693b409c88676f54865de02600f7728aa7fcafa812a6fc004916b8960040",
194
+ "language": "MATLAB",
195
+ "lines": 109,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 13542
199
+ },
200
+ {
201
+ "path": "bsoid_app.py",
202
+ "sha256": "10bf94efcb82f7fa2f0159f06d5a6aa31ee720d864b566f2b0eac4a8068c7fc8",
203
+ "language": "Python",
204
+ "lines": 78,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 40500
208
+ },
209
+ {
210
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/accuracy_boxplot.py",
211
+ "sha256": "8ec9cb768fd57d8bc4ea7f995b5db10c2fbc1cf828a1cef409915e2d4d11b81e",
212
+ "language": "Python",
213
+ "lines": 52,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 29690
217
+ },
218
+ {
219
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/coherence_boxplot.py",
220
+ "sha256": "7c3e209324c8143ee76973309f46b0e6918e6841f55f3cd0407b10f798b15628",
221
+ "language": "Python",
222
+ "lines": 53,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 29472
226
+ },
227
+ {
228
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/extract_kinematics.py",
229
+ "sha256": "522ca5c2b2ccafb5445190e5906bff52f498b504af734cd4f99bd21643807b9c",
230
+ "language": "Python",
231
+ "lines": 247,
232
+ "truncated": false,
233
+ "block": 7,
234
+ "row": 3933
235
+ },
236
+ {
237
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/frameshift_coherence.py",
238
+ "sha256": "adc84daf41659f322f0a60a6f669c8d709affca25a7dfbdbc070c0c084b33f28",
239
+ "language": "Python",
240
+ "lines": 85,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 35993
244
+ },
245
+ {
246
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/kfold_accuracy.py",
247
+ "sha256": "9e16696ae066e8648b7a3bed9f9b44c4e3fb0ba9bb5c24d23b8f3bb024bf4d85",
248
+ "language": "Python",
249
+ "lines": 75,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 34481
253
+ },
254
+ {
255
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/kinematics_cdf.py",
256
+ "sha256": "92c74a243be98eaa1925670d9ea91c2e84f94402d513bb6e123d28b2820026af",
257
+ "language": "Python",
258
+ "lines": 80,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 34280
262
+ },
263
+ {
264
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/pose_relationships_hist.py",
265
+ "sha256": "f9bb44d9c7c162272b77752fadf0878a0e01597aa21ee5bc2567156bd0eeb14a",
266
+ "language": "Python",
267
+ "lines": 124,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 44291
271
+ },
272
+ {
273
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/trajectory_plot.py",
274
+ "sha256": "0f84d4fdab0abb92c477dd239eb142ae6cb4541df4fb90f0767593da7eee43d1",
275
+ "language": "Python",
276
+ "lines": 83,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 35605
280
+ },
281
+ {
282
+ "path": "bsoid_app/analysis_subroutines/analysis_scripts/umap_clustering_plot.py",
283
+ "sha256": "93cea122bfbdda1b68cfaa3495270b02e2230aca627dbdbc7612a3af7e45ad1b",
284
+ "language": "Python",
285
+ "lines": 86,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 35535
289
+ },
290
+ {
291
+ "path": "bsoid_app/analysis_subroutines/analysis_utilities/cache_workspace.py",
292
+ "sha256": "7d425bf51128dd3fef1b1efeae1eedcf23b1075991a48d79b0e6bf61dec5e211",
293
+ "language": "Python",
294
+ "lines": 20,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 25458
298
+ },
299
+ {
300
+ "path": "bsoid_app/analysis_subroutines/analysis_utilities/load_data.py",
301
+ "sha256": "08caa533386c3606bf794b5a51de95794ec1737ac2931e6d81e9c22cf1b52036",
302
+ "language": "Python",
303
+ "lines": 52,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 29639
307
+ },
308
+ {
309
+ "path": "bsoid_app/analysis_subroutines/analysis_utilities/processing.py",
310
+ "sha256": "3bf803b30992121c02918b44c17f1421433bcb381932ebae826520cd60dcd121",
311
+ "language": "Python",
312
+ "lines": 44,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 25388
316
+ },
317
+ {
318
+ "path": "bsoid_app/analysis_subroutines/analysis_utilities/save_data.py",
319
+ "sha256": "3a9d078ecdde0eb99c4a7661a154626045596d5ccc16b9d73518a087ace6899c",
320
+ "language": "Python",
321
+ "lines": 14,
322
+ "truncated": false,
323
+ "block": 6,
324
+ "row": 21754
325
+ },
326
+ {
327
+ "path": "bsoid_app/analysis_subroutines/analysis_utilities/statistics.py",
328
+ "sha256": "d324951f6e48dd0421a2e7929c0a4db5b4cf352933f7f873aa6d4dd31fc02b73",
329
+ "language": "Python",
330
+ "lines": 137,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 41535
334
+ },
335
+ {
336
+ "path": "bsoid_app/analysis_subroutines/analysis_utilities/visuals.py",
337
+ "sha256": "5b94ccf227737dac08671e600cbda43bea1dc8329df8e94dc39760280962b790",
338
+ "language": "Python",
339
+ "lines": 308,
340
+ "truncated": false,
341
+ "block": 7,
342
+ "row": 5690
343
+ },
344
+ {
345
+ "path": "bsoid_app/analysis_subroutines/directed_graph_analysis.py",
346
+ "sha256": "c0bb676e258449d6e5eb8311b23451a6113b40edcf0781418b3fb351be7194d4",
347
+ "language": "Python",
348
+ "lines": 68,
349
+ "truncated": false,
350
+ "block": 6,
351
+ "row": 36290
352
+ },
353
+ {
354
+ "path": "bsoid_app/analysis_subroutines/kinematics_analysis.py",
355
+ "sha256": "34a9e5c76244e4522773448a4b6d09f466b062a6800f1e2347509c1c1f36c836",
356
+ "language": "Python",
357
+ "lines": 171,
358
+ "truncated": false,
359
+ "block": 7,
360
+ "row": 2997
361
+ },
362
+ {
363
+ "path": "bsoid_app/analysis_subroutines/machine_performance.py",
364
+ "sha256": "ee2a75bba142564462f3f9405bcef9bcaf41ffa76492c394b862e5b2961db4f6",
365
+ "language": "Python",
366
+ "lines": 80,
367
+ "truncated": false,
368
+ "block": 6,
369
+ "row": 39228
370
+ },
371
+ {
372
+ "path": "bsoid_app/analysis_subroutines/trajectory_analysis.py",
373
+ "sha256": "daaa6f1c45d519084a34dcba652f5806f9f56763be59000d60d0649c14553ff3",
374
+ "language": "Python",
375
+ "lines": 112,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 43885
379
+ },
380
+ {
381
+ "path": "bsoid_app/analysis_subroutines/video_analysis.py",
382
+ "sha256": "a43a8f7460091f1dec1ee3b532b1604a4988fb0c2ee34fa634557ff4822ca77e",
383
+ "language": "Python",
384
+ "lines": 96,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 42553
388
+ },
389
+ {
390
+ "path": "bsoid_app/bsoid_analysis.py",
391
+ "sha256": "0673ab3e0f782bd780d9c7dd3c9702f6172207b56e88e2bd159ff00212810ada",
392
+ "language": "Python",
393
+ "lines": 67,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 37904
397
+ },
398
+ {
399
+ "path": "bsoid_app/bsoid_utilities/bsoid_classification.py",
400
+ "sha256": "388529a79e36208d2f40e40a711a63abf4abff5e9dfd395722ed3d7ac5b7c3eb",
401
+ "language": "Python",
402
+ "lines": 91,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 38785
406
+ },
407
+ {
408
+ "path": "bsoid_app/bsoid_utilities/likelihoodprocessing.py",
409
+ "sha256": "d807a198e6413a8ad59ab2995172c0241fcf57a864686ab3513c2cdd5101b824",
410
+ "language": "Python",
411
+ "lines": 190,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 44320
415
+ },
416
+ {
417
+ "path": "bsoid_app/bsoid_utilities/load_css.py",
418
+ "sha256": "88be165b4ba8a5352ef79a9fe8340d3ee92374d0e5f9440b97431b80633ef5f9",
419
+ "language": "Python",
420
+ "lines": 6,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 20994
424
+ },
425
+ {
426
+ "path": "bsoid_app/bsoid_utilities/load_json.py",
427
+ "sha256": "debb51e65e63eda2100a260fd27f93bc7b0431bd24533f7abb2552429fc3ef45",
428
+ "language": "Python",
429
+ "lines": 65,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 37382
433
+ },
434
+ {
435
+ "path": "bsoid_app/bsoid_utilities/load_workspace.py",
436
+ "sha256": "bd02ab440f7cb31534c8768c02dbcdeea2ab647e68044d380d66be0d68009618",
437
+ "language": "Python",
438
+ "lines": 78,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 33669
442
+ },
443
+ {
444
+ "path": "bsoid_app/bsoid_utilities/statistics.py",
445
+ "sha256": "5f9ba94dce777a9284d623396a2c47bb050c6e71bb7cfcbb7f5e6f7055680dd2",
446
+ "language": "Python",
447
+ "lines": 8,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 20710
451
+ },
452
+ {
453
+ "path": "bsoid_app/bsoid_utilities/videoprocessing.py",
454
+ "sha256": "116a6bc781e1343214f26456b4ff32cf7863167599c2f0099710f153122565dc",
455
+ "language": "Python",
456
+ "lines": 81,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 35298
460
+ },
461
+ {
462
+ "path": "bsoid_app/bsoid_utilities/visuals.py",
463
+ "sha256": "8f55a1ec3d26e935b1dbda64dddd007de8ef73df9be4af22dedeca385edd22c4",
464
+ "language": "Python",
465
+ "lines": 95,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 36985
469
+ },
470
+ {
471
+ "path": "bsoid_app/clustering.py",
472
+ "sha256": "d6574be32562450efd9998d1fcd56ed2d3fe964df099b0449119e7113ddd9a61",
473
+ "language": "Python",
474
+ "lines": 106,
475
+ "truncated": false,
476
+ "block": 6,
477
+ "row": 41770
478
+ },
479
+ {
480
+ "path": "bsoid_app/config/__init__.py",
481
+ "sha256": "98289165e72b753400c4055144b0586c56b602b2eee9d0e09f56e809b2c99deb",
482
+ "language": "Python",
483
+ "lines": 1,
484
+ "truncated": false,
485
+ "block": 6,
486
+ "row": 20348
487
+ },
488
+ {
489
+ "path": "bsoid_app/config/global_config.py",
490
+ "sha256": "989cfb293e3bff6d37fb58263063a4fe39df8db559e3dea40161655727dfc555",
491
+ "language": "Python",
492
+ "lines": 7,
493
+ "truncated": false,
494
+ "block": 6,
495
+ "row": 20705
496
+ },
497
+ {
498
+ "path": "bsoid_app/data_preprocess.py",
499
+ "sha256": "4267e3846bea38248475f4607945557487dafa40fb849505ec6c4b2d218a7064",
500
+ "language": "Python",
501
+ "lines": 225,
502
+ "truncated": false,
503
+ "block": 7,
504
+ "row": 5807
505
+ },
506
+ {
507
+ "path": "bsoid_app/export_training.py",
508
+ "sha256": "101c6759fc7bc76d781866e2a9cd33e0c01592b42720422753cebb8c18253101",
509
+ "language": "Python",
510
+ "lines": 78,
511
+ "truncated": false,
512
+ "block": 6,
513
+ "row": 41413
514
+ },
515
+ {
516
+ "path": "bsoid_app/extract_features.py",
517
+ "sha256": "4d1d77da1a553456c1fafdd82acd728e4131ba14bbc321bf35abd21497553aad",
518
+ "language": "Python",
519
+ "lines": 192,
520
+ "truncated": false,
521
+ "block": 7,
522
+ "row": 3673
523
+ },
524
+ {
525
+ "path": "bsoid_app/machine_learner.py",
526
+ "sha256": "378e1c6928f5dae918a870b03ad25618ac56c439b82852e00a7c20e8d8eaf023",
527
+ "language": "Python",
528
+ "lines": 90,
529
+ "truncated": false,
530
+ "block": 6,
531
+ "row": 40177
532
+ },
533
+ {
534
+ "path": "bsoid_app/predict.py",
535
+ "sha256": "dc34acbf0ca8bf555012c97972ad8f7dc115f907e5ed9187619d6b2863cf11d4",
536
+ "language": "Python",
537
+ "lines": 220,
538
+ "truncated": false,
539
+ "block": 7,
540
+ "row": 5441
541
+ },
542
+ {
543
+ "path": "bsoid_app/video_creator.py",
544
+ "sha256": "ea257f8c6cb7d3791b27aef082f1b3fe8728ace2fd0a5edb8d71c41765f88dd0",
545
+ "language": "Python",
546
+ "lines": 273,
547
+ "truncated": false,
548
+ "block": 7,
549
+ "row": 6279
550
+ },
551
+ {
552
+ "path": "bsoid_figs/examples/behavioral_videos/mp42gif.sh",
553
+ "sha256": "d467360a2331d86c69162c17e4e025fd1e862a42b58369f8cf27e5ece32f64a3",
554
+ "language": "Shell",
555
+ "lines": 7,
556
+ "truncated": false,
557
+ "block": 8,
558
+ "row": 6460
559
+ },
560
+ {
561
+ "path": "bsoid_figs/fig2.py",
562
+ "sha256": "77b78b6e15541d13fe8009d9405c5ca3ae766d889609a043e664cbfd352d5206",
563
+ "language": "Python",
564
+ "lines": 121,
565
+ "truncated": false,
566
+ "block": 6,
567
+ "row": 39278
568
+ },
569
+ {
570
+ "path": "bsoid_figs/fig3.py",
571
+ "sha256": "e5d4573b08d73e321fda3a7693309f522f5864f21a215c41feb09ff46e0c6f2e",
572
+ "language": "Python",
573
+ "lines": 34,
574
+ "truncated": false,
575
+ "block": 6,
576
+ "row": 26311
577
+ },
578
+ {
579
+ "path": "bsoid_figs/fig5.py",
580
+ "sha256": "f0915f8c6a82eda5955aa463963f9a944024877cc842fb31b949f7c23c210486",
581
+ "language": "Python",
582
+ "lines": 54,
583
+ "truncated": false,
584
+ "block": 6,
585
+ "row": 30927
586
+ },
587
+ {
588
+ "path": "bsoid_figs/fig6.py",
589
+ "sha256": "585cd99d02ee51a80e03d94e03407da199db12a0585bf61e7bc7a46b968445de",
590
+ "language": "Python",
591
+ "lines": 102,
592
+ "truncated": false,
593
+ "block": 6,
594
+ "row": 36574
595
+ },
596
+ {
597
+ "path": "bsoid_figs/fig6_v2.py",
598
+ "sha256": "8a45e43eb23d895e48d92edded9bfd2ebe6a2ff4b0f0b4a7478e03a512bd63c0",
599
+ "language": "Python",
600
+ "lines": 269,
601
+ "truncated": false,
602
+ "block": 7,
603
+ "row": 1021
604
+ },
605
+ {
606
+ "path": "bsoid_figs/figS2.py",
607
+ "sha256": "6fbfa567cbdef2459d05bee4ae0b37d1e7ebbcea5c7c50b2fed2591fe1729762",
608
+ "language": "Python",
609
+ "lines": 57,
610
+ "truncated": false,
611
+ "block": 6,
612
+ "row": 31578
613
+ },
614
+ {
615
+ "path": "bsoid_figs/figS4.py",
616
+ "sha256": "9502b9274fa38b367cde40222ffaef055556630ce4df79cbfeea5235ab1be76c",
617
+ "language": "Python",
618
+ "lines": 26,
619
+ "truncated": false,
620
+ "block": 6,
621
+ "row": 24812
622
+ },
623
+ {
624
+ "path": "bsoid_figs/figS6.py",
625
+ "sha256": "ab3143a5775ad98d97b06ecdadad464790581f25d52540794b1a57595f2f008a",
626
+ "language": "Python",
627
+ "lines": 86,
628
+ "truncated": false,
629
+ "block": 6,
630
+ "row": 34809
631
+ },
632
+ {
633
+ "path": "bsoid_figs/github_hist.py",
634
+ "sha256": "107da4027cae2b174944e2e42fc3be46f8560c2e1e12dae8596c42a396415bd8",
635
+ "language": "Python",
636
+ "lines": 49,
637
+ "truncated": false,
638
+ "block": 6,
639
+ "row": 29463
640
+ },
641
+ {
642
+ "path": "bsoid_figs/subroutines/accuracy_boxplot.py",
643
+ "sha256": "21df52ba6d123a95dd33515014b758cdf40297925a692f578473f3b022eb16e3",
644
+ "language": "Python",
645
+ "lines": 92,
646
+ "truncated": false,
647
+ "block": 6,
648
+ "row": 36102
649
+ },
650
+ {
651
+ "path": "bsoid_figs/subroutines/coherence_boxplot.py",
652
+ "sha256": "7108730376e49ba1004bc168b5f88ef843a1b03632342ba4939c624e69f2fe1e",
653
+ "language": "Python",
654
+ "lines": 70,
655
+ "truncated": false,
656
+ "block": 6,
657
+ "row": 33476
658
+ },
659
+ {
660
+ "path": "bsoid_figs/subroutines/extract_images.py",
661
+ "sha256": "40530fa1d76798602d93a8b74991b863048a3a9744d26c146f1ef1c161fa8720",
662
+ "language": "Python",
663
+ "lines": 85,
664
+ "truncated": false,
665
+ "block": 6,
666
+ "row": 36390
667
+ },
668
+ {
669
+ "path": "bsoid_figs/subroutines/extract_kinematics.py",
670
+ "sha256": "5379928ff277f92bb649be79cb41998c9381dcc964005ef218bb92f3f2896204",
671
+ "language": "Python",
672
+ "lines": 240,
673
+ "truncated": false,
674
+ "block": 7,
675
+ "row": 3935
676
+ },
677
+ {
678
+ "path": "bsoid_figs/subroutines/frameshift_coherence.py",
679
+ "sha256": "c84f0497a9e4d00516edeb91fc3c6de5bfd213fa87d46ac073cf308c4d18ef5e",
680
+ "language": "Python",
681
+ "lines": 83,
682
+ "truncated": false,
683
+ "block": 6,
684
+ "row": 35833
685
+ },
686
+ {
687
+ "path": "bsoid_figs/subroutines/fsdiff_hist.py",
688
+ "sha256": "1296c36c343292b96d6b3e206e3efdf1733ceef9d887748e5625270ab23eb481",
689
+ "language": "Python",
690
+ "lines": 133,
691
+ "truncated": false,
692
+ "block": 6,
693
+ "row": 42169
694
+ },
695
+ {
696
+ "path": "bsoid_figs/subroutines/immse_cdf.py",
697
+ "sha256": "b255c08c3787a3a10d6775f03650011edd153b3982ec13c82c333db3bebf90f6",
698
+ "language": "Python",
699
+ "lines": 113,
700
+ "truncated": false,
701
+ "block": 6,
702
+ "row": 41398
703
+ },
704
+ {
705
+ "path": "bsoid_figs/subroutines/immse_heatmap.py",
706
+ "sha256": "9752863ad70c4b25351efd5740ed54dc1d74e8b7f5b0401183a9d600bde3a15a",
707
+ "language": "Python",
708
+ "lines": 92,
709
+ "truncated": false,
710
+ "block": 6,
711
+ "row": 37027
712
+ },
713
+ {
714
+ "path": "bsoid_figs/subroutines/kfold_accuracy.py",
715
+ "sha256": "b7d41c36d70523ddb6cb3b66f02755da43b7752d840236a1bc28eb95e42a1f80",
716
+ "language": "Python",
717
+ "lines": 81,
718
+ "truncated": false,
719
+ "block": 6,
720
+ "row": 34995
721
+ },
722
+ {
723
+ "path": "bsoid_figs/subroutines/kinematics_cdf.py",
724
+ "sha256": "1eab89a09f0b41c95d1e00ba522174767d119ce26e5765ec6549aa70e4b036c3",
725
+ "language": "Python",
726
+ "lines": 99,
727
+ "truncated": false,
728
+ "block": 6,
729
+ "row": 38080
730
+ },
731
+ {
732
+ "path": "bsoid_figs/subroutines/kinematics_cdf_v2.py",
733
+ "sha256": "650e123660381ef18d51d50120f3575bf5a5c941af7002852d282b5f6da9eec0",
734
+ "language": "Python",
735
+ "lines": 147,
736
+ "truncated": false,
737
+ "block": 6,
738
+ "row": 43551
739
+ },
740
+ {
741
+ "path": "bsoid_figs/subroutines/neural_plot.py",
742
+ "sha256": "a2f22d44403c9a992cb7ec5f777c0a3ffcc4464bb386eed31e73410f367682f8",
743
+ "language": "Python",
744
+ "lines": 90,
745
+ "truncated": false,
746
+ "block": 6,
747
+ "row": 36657
748
+ },
749
+ {
750
+ "path": "bsoid_figs/subroutines/pose_relationships_hist.py",
751
+ "sha256": "9962661d8050d79252224e2ebd35924748b2da8b209be3962096e16cd4cabd8a",
752
+ "language": "Python",
753
+ "lines": 128,
754
+ "truncated": false,
755
+ "block": 6,
756
+ "row": 44279
757
+ },
758
+ {
759
+ "path": "bsoid_figs/subroutines/pose_relationships_hist2.py",
760
+ "sha256": "c67fb4e6e7d0c2214de14e785145b00850f3d52ede2fe3f39fad6822d6967c7d",
761
+ "language": "Python",
762
+ "lines": 128,
763
+ "truncated": false,
764
+ "block": 6,
765
+ "row": 44281
766
+ },
767
+ {
768
+ "path": "bsoid_figs/subroutines/trajectory_plot.py",
769
+ "sha256": "82cffd1a60bd8fad406a5a223ecd41ae53188ddb4a00969620d5fd97f403162a",
770
+ "language": "Python",
771
+ "lines": 137,
772
+ "truncated": false,
773
+ "block": 6,
774
+ "row": 40732
775
+ },
776
+ {
777
+ "path": "bsoid_figs/subroutines/umap_clustering_plot.py",
778
+ "sha256": "740baab6e9a641b391d01420969e6fa05af9a57c2fe033dad4bb308b2defc68d",
779
+ "language": "Python",
780
+ "lines": 71,
781
+ "truncated": false,
782
+ "block": 6,
783
+ "row": 34419
784
+ },
785
+ {
786
+ "path": "bsoid_figs/subroutines/utilities/detect_peaks.py",
787
+ "sha256": "61a9ad8b3d2b4755a32cc0499ed67e88a5dfa8b9cb81f60fd959631a7f70e2e0",
788
+ "language": "Python",
789
+ "lines": 223,
790
+ "truncated": false,
791
+ "block": 7,
792
+ "row": 1511
793
+ },
794
+ {
795
+ "path": "bsoid_figs/subroutines/utilities/discrete_cmap.py",
796
+ "sha256": "8484db7e1134abf75fc7f88ca58531f808005c33a4f179f7af8e406f29617cd0",
797
+ "language": "Python",
798
+ "lines": 15,
799
+ "truncated": false,
800
+ "block": 6,
801
+ "row": 22866
802
+ },
803
+ {
804
+ "path": "bsoid_figs/subroutines/utilities/load_data.py",
805
+ "sha256": "988be10ff5f54259d65c8c74a44ad08aa259831901602b546308401d8cf807ae",
806
+ "language": "Python",
807
+ "lines": 52,
808
+ "truncated": false,
809
+ "block": 6,
810
+ "row": 32212
811
+ },
812
+ {
813
+ "path": "bsoid_figs/subroutines/utilities/load_json.py",
814
+ "sha256": "d2205e4dd06769388acfbbab7c94b76aae46d71825240717c6a019e08b006352",
815
+ "language": "Python",
816
+ "lines": 37,
817
+ "truncated": false,
818
+ "block": 6,
819
+ "row": 31270
820
+ },
821
+ {
822
+ "path": "bsoid_figs/subroutines/utilities/processing.py",
823
+ "sha256": "1adb3da98a5dacc954dd95dbf17a21e37a0593259b46ea29b7afa31b4f23e799",
824
+ "language": "Python",
825
+ "lines": 36,
826
+ "truncated": false,
827
+ "block": 6,
828
+ "row": 24193
829
+ },
830
+ {
831
+ "path": "bsoid_figs/subroutines/utilities/save_data.py",
832
+ "sha256": "851d7adcd19ac3ce4ed89adfe7ca77862622ce77cd0a105727e142db8e252005",
833
+ "language": "Python",
834
+ "lines": 14,
835
+ "truncated": false,
836
+ "block": 6,
837
+ "row": 21849
838
+ },
839
+ {
840
+ "path": "bsoid_figs/subroutines/utilities/statistics.py",
841
+ "sha256": "5e507dade7e34378bf5311de1dce74842d99033363089b4fa0bfdabbc3a0cbad",
842
+ "language": "Python",
843
+ "lines": 34,
844
+ "truncated": false,
845
+ "block": 6,
846
+ "row": 25998
847
+ },
848
+ {
849
+ "path": "bsoid_py/classify.py",
850
+ "sha256": "053c78d4f08fd61ef7efec32baab9867990f14b08007364dd5a6ec4d2b4deea6",
851
+ "language": "Python",
852
+ "lines": 170,
853
+ "truncated": false,
854
+ "block": 7,
855
+ "row": 1698
856
+ },
857
+ {
858
+ "path": "bsoid_py/config/GLOBAL_CONFIG.py",
859
+ "sha256": "25ac73fa150c75a933a7dd6c6b3346f8ae6886b8ec40a960ef6e5c963a7f9237",
860
+ "language": "Python",
861
+ "lines": 35,
862
+ "truncated": false,
863
+ "block": 6,
864
+ "row": 26726
865
+ },
866
+ {
867
+ "path": "bsoid_py/config/LOCAL_CONFIG.py",
868
+ "sha256": "80debcfa8d05b297e1a37f38d4e95c0d270e5cd91355b041c75d1f5947ae4f7c",
869
+ "language": "Python",
870
+ "lines": 41,
871
+ "truncated": false,
872
+ "block": 6,
873
+ "row": 30575
874
+ },
875
+ {
876
+ "path": "bsoid_py/config/__init__.py",
877
+ "sha256": "9c8a3145dba349774560781afd0aff1d329cea4bda8f432d0e857af8976ca57c",
878
+ "language": "Python",
879
+ "lines": 2,
880
+ "truncated": false,
881
+ "block": 6,
882
+ "row": 20615
883
+ },
884
+ {
885
+ "path": "bsoid_py/main.py",
886
+ "sha256": "f2b8ee14114fce7f606ccf54834ef6ff74ab11d7e16109850972a011a4ebcd19",
887
+ "language": "Python",
888
+ "lines": 144,
889
+ "truncated": false,
890
+ "block": 7,
891
+ "row": 1423
892
+ },
893
+ {
894
+ "path": "bsoid_py/train.py",
895
+ "sha256": "cb45aeaedd193832ba8b9e9dc68473e542c73090e36d94ec1188822fb0835a50",
896
+ "language": "Python",
897
+ "lines": 269,
898
+ "truncated": false,
899
+ "block": 7,
900
+ "row": 6433
901
+ },
902
+ {
903
+ "path": "bsoid_py/utils/likelihoodprocessing.py",
904
+ "sha256": "ae9e7ab0f9d68dbb55d65863f4ac1a38692c8754be04fb7ce17d417a68c06e6d",
905
+ "language": "Python",
906
+ "lines": 143,
907
+ "truncated": false,
908
+ "block": 6,
909
+ "row": 40425
910
+ },
911
+ {
912
+ "path": "bsoid_py/utils/statistics.py",
913
+ "sha256": "2109124b61da50f35a6f602b13b89483eff6f970e7806cf9e4f6483dbdd7bfa1",
914
+ "language": "Python",
915
+ "lines": 118,
916
+ "truncated": false,
917
+ "block": 6,
918
+ "row": 39914
919
+ },
920
+ {
921
+ "path": "bsoid_py/utils/videoprocessing.py",
922
+ "sha256": "ee2a5594eeb99276f7a76b9fec98aca587f9adb8a8cd5b6291ca29fdf43f5737",
923
+ "language": "Python",
924
+ "lines": 158,
925
+ "truncated": false,
926
+ "block": 6,
927
+ "row": 42784
928
+ },
929
+ {
930
+ "path": "bsoid_py/utils/visuals.py",
931
+ "sha256": "e6fcb44972a8dac07d4616df8b2a206262d504b6dcec2d93444da54cd5a6b0f8",
932
+ "language": "Python",
933
+ "lines": 203,
934
+ "truncated": false,
935
+ "block": 7,
936
+ "row": 1868
937
+ },
938
+ {
939
+ "path": "bsoid_umap/classify.py",
940
+ "sha256": "d093aa2b28abef6522d9aa793691150552ab21de529cb502468af0ee55e5c553",
941
+ "language": "Python",
942
+ "lines": 153,
943
+ "truncated": false,
944
+ "block": 6,
945
+ "row": 44697
946
+ },
947
+ {
948
+ "path": "bsoid_umap/config/GLOBAL_CONFIG.py",
949
+ "sha256": "c78fc0adcf7f52998c49d6d9530f8126e3e56f9add7ec1e0efc3954b0ebb0b6e",
950
+ "language": "Python",
951
+ "lines": 38,
952
+ "truncated": false,
953
+ "block": 6,
954
+ "row": 26698
955
+ },
956
+ {
957
+ "path": "bsoid_umap/config/LOCAL_CONFIG.py",
958
+ "sha256": "ba5b7d5d2aa4322246ab77fd1f9bcbf576da8405dc7707ef86f3da362aba13d8",
959
+ "language": "Python",
960
+ "lines": 26,
961
+ "truncated": false,
962
+ "block": 6,
963
+ "row": 28487
964
+ },
965
+ {
966
+ "path": "bsoid_umap/config/__init__.py",
967
+ "sha256": "3db6dc91763bd63f857f28a1504a3f06b7c26a0b24f9c99b26ee2d0c51a0f73f",
968
+ "language": "Python",
969
+ "lines": 2,
970
+ "truncated": false,
971
+ "block": 6,
972
+ "row": 20635
973
+ },
974
+ {
975
+ "path": "bsoid_umap/main.py",
976
+ "sha256": "e098199e45e2921aaa0a2dc7053d7b2674b03f4b71911d747c9b2f36fefb752b",
977
+ "language": "Python",
978
+ "lines": 180,
979
+ "truncated": false,
980
+ "block": 7,
981
+ "row": 3198
982
+ },
983
+ {
984
+ "path": "bsoid_umap/train.py",
985
+ "sha256": "098f298e2a82936629bd6c8bf5b8fde83e46902d9fbceb79c72bcbc7417217f3",
986
+ "language": "Python",
987
+ "lines": 243,
988
+ "truncated": false,
989
+ "block": 7,
990
+ "row": 5109
991
+ },
992
+ {
993
+ "path": "bsoid_umap/utils/likelihoodprocessing.py",
994
+ "sha256": "b14b1142212f4f79a427902e5e15ee9f4a98a14291c5cc7ee1599e7192c23c94",
995
+ "language": "Python",
996
+ "lines": 143,
997
+ "truncated": false,
998
+ "block": 6,
999
+ "row": 40308
1000
+ },
1001
+ {
1002
+ "path": "bsoid_umap/utils/statistics.py",
1003
+ "sha256": "524da25f7df3b139f4692be1884d0334972c6598f423e577b403acbbd225dbd4",
1004
+ "language": "Python",
1005
+ "lines": 132,
1006
+ "truncated": false,
1007
+ "block": 6,
1008
+ "row": 40975
1009
+ },
1010
+ {
1011
+ "path": "bsoid_umap/utils/videoprocessing.py",
1012
+ "sha256": "25e1b871f61d2a471cd9ef6bb8d75d323b3ae4ea2154f4486c3eaa5c23e7e1d1",
1013
+ "language": "Python",
1014
+ "lines": 161,
1015
+ "truncated": false,
1016
+ "block": 6,
1017
+ "row": 43013
1018
+ },
1019
+ {
1020
+ "path": "bsoid_umap/utils/visuals.py",
1021
+ "sha256": "25276439c4666032bb55783b99b6ec660475dbe09ccc97e9320b39f2aa1ddc74",
1022
+ "language": "Python",
1023
+ "lines": 185,
1024
+ "truncated": false,
1025
+ "block": 7,
1026
+ "row": 1168
1027
+ },
1028
+ {
1029
+ "path": "googlecolab/bsoid_master.ipynb",
1030
+ "sha256": "edebe78cd124d84c461a4b9f4bbbe5d90257577ade0f44dcb650511214d302b3",
1031
+ "language": "Jupyter",
1032
+ "lines": 349,
1033
+ "truncated": false,
1034
+ "block": 6,
1035
+ "row": 525
1036
+ },
1037
+ {
1038
+ "path": "googlecolab/bsoid_v1_2_1.ipynb",
1039
+ "sha256": "cd38d264c11e10cf1d9becb6f2d9e2636b2f427bd69eac8a79221f5835ac66f4",
1040
+ "language": "Jupyter",
1041
+ "lines": 1262,
1042
+ "truncated": false,
1043
+ "block": 6,
1044
+ "row": 1235
1045
+ }
1046
+ ]
1047
+ }
manifests/69/zenodo__19233119.json ADDED
@@ -0,0 +1,489 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:19233119",
4
+ "url": "10.5281/zenodo.19233119",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "R/anova_oneway_analysis.R",
13
+ "sha256": "1a25962259416c4b8fdbbd5a673b49a89762061c7b06f876539e756f2a3b0bee",
14
+ "language": "R",
15
+ "lines": 245,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 3762
19
+ },
20
+ {
21
+ "path": "R/anova_oneway_visualize.R",
22
+ "sha256": "d6bfe112832a020fda336babcea4d09f120ab7010b63755b9c75132049a6d989",
23
+ "language": "R",
24
+ "lines": 342,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 4169
28
+ },
29
+ {
30
+ "path": "R/anova_shared_barplots.R",
31
+ "sha256": "4ba37f2b517df5bb2e7a0435cc7187cd52729b684001e86dee817c92f971c890",
32
+ "language": "R",
33
+ "lines": 654,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 4761
37
+ },
38
+ {
39
+ "path": "R/anova_shared_boxplots.R",
40
+ "sha256": "f13bf36a5d7037241071f08559d7555ea5cf5a87c952acd4ecac0e1c61447582",
41
+ "language": "R",
42
+ "lines": 122,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 2955
46
+ },
47
+ {
48
+ "path": "R/anova_shared_data.R",
49
+ "sha256": "9b5154f8aa2bff6f63fb396dfa4487736083b2d0f0b4707fbcf070faf92eeda9",
50
+ "language": "R",
51
+ "lines": 48,
52
+ "truncated": false,
53
+ "block": 8,
54
+ "row": 1881
55
+ },
56
+ {
57
+ "path": "R/anova_shared_lineplots.R",
58
+ "sha256": "0481379fd0ff2650665e74b7952406dd5c869396341d9c99f558593dd6692143",
59
+ "language": "R",
60
+ "lines": 442,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 4512
64
+ },
65
+ {
66
+ "path": "R/anova_shared_model.R",
67
+ "sha256": "0a098fd8a0e531409ec93bcea0da62601f8840222aa48d84cdfcb5ef50514e7c",
68
+ "language": "R",
69
+ "lines": 211,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 3518
73
+ },
74
+ {
75
+ "path": "R/anova_shared_plot_context.R",
76
+ "sha256": "b4d38ce76efa50f24343fbe29b1e1b0580be7d5e6f03850622013a57702c82a8",
77
+ "language": "R",
78
+ "lines": 217,
79
+ "truncated": false,
80
+ "block": 8,
81
+ "row": 3612
82
+ },
83
+ {
84
+ "path": "R/anova_shared_results.R",
85
+ "sha256": "dbf0a39ead8ea8b61ccdbf710cd9564794cfe6a3a55add798c561400c599cd43",
86
+ "language": "R",
87
+ "lines": 517,
88
+ "truncated": false,
89
+ "block": 8,
90
+ "row": 4692
91
+ },
92
+ {
93
+ "path": "R/anova_shared_ui.R",
94
+ "sha256": "dd56c4fb457eaea266de2822d695b147baec3fa8150a25b3a0ae74d6dfb689ad",
95
+ "language": "R",
96
+ "lines": 301,
97
+ "truncated": false,
98
+ "block": 8,
99
+ "row": 4113
100
+ },
101
+ {
102
+ "path": "R/anova_shared_utils.R",
103
+ "sha256": "0ed5570ba94cfe8e30eadefb57684e83b68308308343ec26fe110e307e7c7546",
104
+ "language": "R",
105
+ "lines": 12,
106
+ "truncated": false,
107
+ "block": 8,
108
+ "row": 1344
109
+ },
110
+ {
111
+ "path": "R/anova_twoway_analysis.R",
112
+ "sha256": "0d569cbd3ee250514c809373bf2ef43fbe4271140f1d211687ec2fec19708ce6",
113
+ "language": "R",
114
+ "lines": 279,
115
+ "truncated": false,
116
+ "block": 8,
117
+ "row": 3993
118
+ },
119
+ {
120
+ "path": "R/anova_twoway_visualize.R",
121
+ "sha256": "87c5b2287d96cb053907a51651b5b974b529a5356649f3cefbaa093f79163df9",
122
+ "language": "R",
123
+ "lines": 483,
124
+ "truncated": false,
125
+ "block": 8,
126
+ "row": 4546
127
+ },
128
+ {
129
+ "path": "R/descriptive_analysis.R",
130
+ "sha256": "d643024c993097ac66c6b98e3a6998ac72b7ff5b5dddd1d4c68cc930b10c63e7",
131
+ "language": "R",
132
+ "lines": 509,
133
+ "truncated": false,
134
+ "block": 8,
135
+ "row": 4637
136
+ },
137
+ {
138
+ "path": "R/descriptive_visualize.R",
139
+ "sha256": "35a0326244dd1711d4d92b5b760e450212e6502acc913a945838e628d85897c0",
140
+ "language": "R",
141
+ "lines": 104,
142
+ "truncated": false,
143
+ "block": 8,
144
+ "row": 2603
145
+ },
146
+ {
147
+ "path": "R/descriptive_visualize_categorical_barplots.R",
148
+ "sha256": "3c1087913f18ed1282a0bc38a4c9d1678df9015e7b62190c834c0d727bf8351d",
149
+ "language": "R",
150
+ "lines": 520,
151
+ "truncated": false,
152
+ "block": 8,
153
+ "row": 4630
154
+ },
155
+ {
156
+ "path": "R/descriptive_visualize_numeric_boxplots.R",
157
+ "sha256": "deed7b4ebebddbac9ad80fa515035619471de4c8e4334f7238f3ba3309824b3a",
158
+ "language": "R",
159
+ "lines": 683,
160
+ "truncated": false,
161
+ "block": 8,
162
+ "row": 4804
163
+ },
164
+ {
165
+ "path": "R/descriptive_visualize_numeric_histograms.R",
166
+ "sha256": "6c9e18dc927ab3fcec6de471a603f9112d560b1429d4a7d22d04ae5e8b9226c1",
167
+ "language": "R",
168
+ "lines": 474,
169
+ "truncated": false,
170
+ "block": 8,
171
+ "row": 4542
172
+ },
173
+ {
174
+ "path": "R/helpers.R",
175
+ "sha256": "0de903e33a9f62b14143b0e085961aa28cc965273ab1630c65c7617458523876",
176
+ "language": "R",
177
+ "lines": 117,
178
+ "truncated": false,
179
+ "block": 8,
180
+ "row": 2512
181
+ },
182
+ {
183
+ "path": "R/lm_analysis.R",
184
+ "sha256": "249cc8246990f63c84edf67a04fead9a532fb7676a07e25be33a38bbe4784d2b",
185
+ "language": "R",
186
+ "lines": 7,
187
+ "truncated": false,
188
+ "block": 8,
189
+ "row": 1354
190
+ },
191
+ {
192
+ "path": "R/lmm_analysis.R",
193
+ "sha256": "fcacc93902e0066d9911dbae5657950fd932ac98d1429ad041c054f3b7833537",
194
+ "language": "R",
195
+ "lines": 36,
196
+ "truncated": false,
197
+ "block": 8,
198
+ "row": 1678
199
+ },
200
+ {
201
+ "path": "R/module_analysis.R",
202
+ "sha256": "c902f58cf9cef517ef9868ac235f4f2a8afa3b88826154ced51379d8bf689baa",
203
+ "language": "R",
204
+ "lines": 296,
205
+ "truncated": false,
206
+ "block": 8,
207
+ "row": 3929
208
+ },
209
+ {
210
+ "path": "R/module_filter.R",
211
+ "sha256": "d0f6fb1f54f7d0d56d293e7f4bc8608eee0bfdbaf1d4e14711677399e0c6f81a",
212
+ "language": "R",
213
+ "lines": 326,
214
+ "truncated": false,
215
+ "block": 8,
216
+ "row": 4129
217
+ },
218
+ {
219
+ "path": "R/module_home.R",
220
+ "sha256": "f5f761010d0029bdf53c932043ba66d0c0a31e7c2f5fe377150deb8f52fe0a61",
221
+ "language": "R",
222
+ "lines": 104,
223
+ "truncated": false,
224
+ "block": 8,
225
+ "row": 2606
226
+ },
227
+ {
228
+ "path": "R/module_upload.R",
229
+ "sha256": "774640a1d9218ba63658483344347a86a0edc4065fd82194b4e426ddeb52773c",
230
+ "language": "R",
231
+ "lines": 396,
232
+ "truncated": false,
233
+ "block": 8,
234
+ "row": 4353
235
+ },
236
+ {
237
+ "path": "R/module_upload_helpers.R",
238
+ "sha256": "1cd0af7fe210db4b81f120163f2103919418a71efe319d06ac48fe38fe6475fe",
239
+ "language": "R",
240
+ "lines": 87,
241
+ "truncated": false,
242
+ "block": 8,
243
+ "row": 2320
244
+ },
245
+ {
246
+ "path": "R/module_visualize.R",
247
+ "sha256": "3ee5d0d83448d83e44fe827f1f1b80db9b8d6286813279adc49a1335332ad34b",
248
+ "language": "R",
249
+ "lines": 288,
250
+ "truncated": false,
251
+ "block": 8,
252
+ "row": 3946
253
+ },
254
+ {
255
+ "path": "R/pairwise_correlation_analysis.R",
256
+ "sha256": "d51016635b21027200cb6e1fed65cab56619c9a312985a16cc63c9e778c3bd24",
257
+ "language": "R",
258
+ "lines": 359,
259
+ "truncated": false,
260
+ "block": 8,
261
+ "row": 4223
262
+ },
263
+ {
264
+ "path": "R/pairwise_correlation_visualize.R",
265
+ "sha256": "81e7699c3f555e9d9fc80471d60d597a044fd4f07035fa1ceac10b4b59d442b7",
266
+ "language": "R",
267
+ "lines": 187,
268
+ "truncated": false,
269
+ "block": 8,
270
+ "row": 3373
271
+ },
272
+ {
273
+ "path": "R/pairwise_correlation_visualize_ggpairs.R",
274
+ "sha256": "cf31d92fe202a317cb081011b616dada34e7276c7754eea63d653245cd1752b7",
275
+ "language": "R",
276
+ "lines": 303,
277
+ "truncated": false,
278
+ "block": 8,
279
+ "row": 4193
280
+ },
281
+ {
282
+ "path": "R/pca_analysis.R",
283
+ "sha256": "e90e23ddf7512e90c99e114cfe8ab6220511aef26162a63e568671bbf65f6022",
284
+ "language": "R",
285
+ "lines": 355,
286
+ "truncated": false,
287
+ "block": 8,
288
+ "row": 4194
289
+ },
290
+ {
291
+ "path": "R/pca_visualize.R",
292
+ "sha256": "4d4ee266386827f76fea11b7dad00c3d50f9fe0924870c477a700d7f19c0e852",
293
+ "language": "R",
294
+ "lines": 1000,
295
+ "truncated": false,
296
+ "block": 8,
297
+ "row": 4986
298
+ },
299
+ {
300
+ "path": "R/regression_analysis.R",
301
+ "sha256": "b3b0741bf7f1842f2a102e23fd07cfa4e6e8446d91906f38e032e75406c714a0",
302
+ "language": "R",
303
+ "lines": 323,
304
+ "truncated": false,
305
+ "block": 8,
306
+ "row": 4031
307
+ },
308
+ {
309
+ "path": "R/regression_shared_export.R",
310
+ "sha256": "685baa600fa6a59566d064fe0380ebaea4122c0384ed5b3c6abec5bf39f653d5",
311
+ "language": "R",
312
+ "lines": 309,
313
+ "truncated": false,
314
+ "block": 8,
315
+ "row": 4250
316
+ },
317
+ {
318
+ "path": "R/regression_shared_formula.R",
319
+ "sha256": "0d7fbf9b8c397fe57c18368996706fbedab05409b1dbeceb534c03be467a82ee",
320
+ "language": "R",
321
+ "lines": 29,
322
+ "truncated": false,
323
+ "block": 8,
324
+ "row": 1603
325
+ },
326
+ {
327
+ "path": "R/regression_shared_model.R",
328
+ "sha256": "28a55e97f8e83a829b56d67bb3e76a6926f9079e8b444afe494792ad5344a6c7",
329
+ "language": "R",
330
+ "lines": 344,
331
+ "truncated": false,
332
+ "block": 8,
333
+ "row": 4236
334
+ },
335
+ {
336
+ "path": "R/regression_shared_results.R",
337
+ "sha256": "2a2d5d9f883eeefc6d289b46b7f7747588e1b6a39822fbc82405074a92969df8",
338
+ "language": "R",
339
+ "lines": 330,
340
+ "truncated": false,
341
+ "block": 8,
342
+ "row": 4134
343
+ },
344
+ {
345
+ "path": "R/regression_shared_ui.R",
346
+ "sha256": "20b49dd7efc4df644b946cf38d55b5a16f5f428b818d205931fd120a7b967830",
347
+ "language": "R",
348
+ "lines": 43,
349
+ "truncated": false,
350
+ "block": 8,
351
+ "row": 1868
352
+ },
353
+ {
354
+ "path": "R/regression_shared_utils.R",
355
+ "sha256": "5ec569178ea9d92bc1de631b8a33da96e567a66f5ab27893b5f071f3e6e5bd5e",
356
+ "language": "R",
357
+ "lines": 37,
358
+ "truncated": false,
359
+ "block": 8,
360
+ "row": 1616
361
+ },
362
+ {
363
+ "path": "R/regression_shared_validation.R",
364
+ "sha256": "8b188ee781b1bf54591f99cd5ad1e1aa2d046de7e5220dbf992200dea55a0f23",
365
+ "language": "R",
366
+ "lines": 134,
367
+ "truncated": false,
368
+ "block": 8,
369
+ "row": 2921
370
+ },
371
+ {
372
+ "path": "R/submodule_base_size.R",
373
+ "sha256": "3f4f21ea1fd281f7ae059f99f46da9229a1274887d72ffe0873988c6e9c575cf",
374
+ "language": "R",
375
+ "lines": 56,
376
+ "truncated": false,
377
+ "block": 8,
378
+ "row": 1808
379
+ },
380
+ {
381
+ "path": "R/submodule_colors.R",
382
+ "sha256": "21236842c199e1b07b66212d1180398f4c4323a9989d75ddfb1a19843b085fd3",
383
+ "language": "R",
384
+ "lines": 350,
385
+ "truncated": false,
386
+ "block": 8,
387
+ "row": 4242
388
+ },
389
+ {
390
+ "path": "R/submodule_multiple_responses.R",
391
+ "sha256": "1a14c7fac9ab8bfcf9587b7183800974718ca459afd146d6af6cfd92f09f9a64",
392
+ "language": "R",
393
+ "lines": 58,
394
+ "truncated": false,
395
+ "block": 8,
396
+ "row": 1904
397
+ },
398
+ {
399
+ "path": "R/submodule_plot_grid.R",
400
+ "sha256": "d85053f926e2245e35b1df61381994e9ec5c828fa8c62304dfb2c68bfee6fc3a",
401
+ "language": "R",
402
+ "lines": 201,
403
+ "truncated": false,
404
+ "block": 8,
405
+ "row": 3421
406
+ },
407
+ {
408
+ "path": "R/submodule_stratification.R",
409
+ "sha256": "6d8505e5406f63681838f2bcd5e3312580bf86e0daf9eb8ba7cfc5b3a30e313d",
410
+ "language": "R",
411
+ "lines": 84,
412
+ "truncated": false,
413
+ "block": 8,
414
+ "row": 2293
415
+ },
416
+ {
417
+ "path": "R/submodule_subplot_size.R",
418
+ "sha256": "d7ecacdffa3b74886d6d81afbc27ba16248385dd9006ad3f2730ecf1bdb6378b",
419
+ "language": "R",
420
+ "lines": 69,
421
+ "truncated": false,
422
+ "block": 8,
423
+ "row": 2043
424
+ },
425
+ {
426
+ "path": "R/submodule_theme.R",
427
+ "sha256": "f4af7edbdcdd2af26d5bbfd4f5834523b43d39f402fd851f774e16f879d71a87",
428
+ "language": "R",
429
+ "lines": 34,
430
+ "truncated": false,
431
+ "block": 8,
432
+ "row": 1956
433
+ },
434
+ {
435
+ "path": "README.md",
436
+ "sha256": "ba0f617cd79eaf8ff85187eb1c98326090b9c5a3cfde39289aeaa54855e1930b",
437
+ "language": "Text",
438
+ "lines": 106,
439
+ "truncated": false,
440
+ "block": 8,
441
+ "row": 10618
442
+ },
443
+ {
444
+ "path": "app.R",
445
+ "sha256": "61f24180dd3c58fd1b8070588a4a13d67b75a9b043b4db3a705ad92b82495995",
446
+ "language": "R",
447
+ "lines": 141,
448
+ "truncated": false,
449
+ "block": 8,
450
+ "row": 2856
451
+ },
452
+ {
453
+ "path": "dev/lm_visualize.R",
454
+ "sha256": "59f316995fa1ad15143ef1d0bd63b8274ea1fd156d071c4b1bd27b0b06cca92a",
455
+ "language": "R",
456
+ "lines": 375,
457
+ "truncated": false,
458
+ "block": 8,
459
+ "row": 4533
460
+ },
461
+ {
462
+ "path": "dev/new_graphics.R",
463
+ "sha256": "7e92fe50f2f99becf4c6e4962987a944e7929987f223686fe7b76bd2cfd35b8b",
464
+ "language": "R",
465
+ "lines": 197,
466
+ "truncated": false,
467
+ "block": 8,
468
+ "row": 3477
469
+ },
470
+ {
471
+ "path": "tests/test_convert_wide_to_long.R",
472
+ "sha256": "c84f38f7846f28158c8a1c65665a01565e4b58a28ea19273aa5be7d32da65dcb",
473
+ "language": "R",
474
+ "lines": 186,
475
+ "truncated": false,
476
+ "block": 8,
477
+ "row": 3274
478
+ },
479
+ {
480
+ "path": "tests/test_preprocess_uploaded_table.R",
481
+ "sha256": "bd8ce7ea2fe3d73c99957a54c2ecb4b32e79eea1a22323c21c3cdc8ff2fb1e5a",
482
+ "language": "R",
483
+ "lines": 87,
484
+ "truncated": false,
485
+ "block": 8,
486
+ "row": 2117
487
+ }
488
+ ]
489
+ }
manifests/69/zenodo__20391405.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:20391405",
4
+ "url": "https://doi.org/10.5281/zenodo.20391405",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "E_PV_SOM_Meanfield.ipynb",
13
+ "sha256": "ab4fa1ca76d3e6a62dc5b12c135ae46f59f86d68d4adca0c4b1df6934126de76",
14
+ "language": "Jupyter",
15
+ "lines": 306,
16
+ "truncated": false,
17
+ "block": 5,
18
+ "row": 17485
19
+ }
20
+ ]
21
+ }
manifests/69/zenodo__21312084.json ADDED
@@ -0,0 +1,534 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:21312084",
4
+ "url": "https://doi.org/10.5281/zenodo.21312084",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "Code/Chem/1a_ChemSync_Act.hoc",
13
+ "sha256": "26e53140f817511485122e69a37b481c545c07ce6ce1e9a72c1ad4c5ae579670",
14
+ "language": "NEURON",
15
+ "lines": 642,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 19986
19
+ },
20
+ {
21
+ "path": "Code/Chem/1a_LFPy_S1toS7.py",
22
+ "sha256": "9443fc9932ae9b5c908c49afb755a46eaeca4d7092c256ff4ae5b44a158b426d",
23
+ "language": "Python",
24
+ "lines": 449,
25
+ "truncated": false,
26
+ "block": 7,
27
+ "row": 8571
28
+ },
29
+ {
30
+ "path": "Code/Chem/1b_ChemRand_Act.hoc",
31
+ "sha256": "66a0dda63c77552778ad2fac23d38273587e4d6d5f18bea82e90bd1fda7abb38",
32
+ "language": "NEURON",
33
+ "lines": 654,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 19988
37
+ },
38
+ {
39
+ "path": "Code/Chem/1b_LFPy_S1toS7.py",
40
+ "sha256": "5c2341d394aa02382c3241f5fcd136b01209f00985b08d697d20874751abc7c2",
41
+ "language": "Python",
42
+ "lines": 449,
43
+ "truncated": false,
44
+ "block": 7,
45
+ "row": 8570
46
+ },
47
+ {
48
+ "path": "Code/Chem/1c_ChemPattern_Act.hoc",
49
+ "sha256": "6e025484dd4afc61a655e0e2a4352763b7bef7b8231bdf14b70625cbc30bc463",
50
+ "language": "NEURON",
51
+ "lines": 600,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 19983
55
+ },
56
+ {
57
+ "path": "Code/Chem/1c_LFPy_S1toS7.py",
58
+ "sha256": "b9170bd40847bd91e18550f924e7c2491ff4c3b48c137f9d1cca09e9e816f167",
59
+ "language": "Python",
60
+ "lines": 449,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 8573
64
+ },
65
+ {
66
+ "path": "Code/Chem/Mod Files/cad.mod",
67
+ "sha256": "964b9bcf135353bd6c9441f7e526f441ce58f669ac09ffb686b91987dfd4bfd7",
68
+ "language": "NEURON",
69
+ "lines": 89,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 19814
73
+ },
74
+ {
75
+ "path": "Code/Chem/Mod Files/cal.mod",
76
+ "sha256": "f881194ce77521446ca035c48566c0bc44808fce0234bbf47252126d29d6cfb1",
77
+ "language": "NEURON",
78
+ "lines": 111,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 19829
82
+ },
83
+ {
84
+ "path": "Code/Chem/Mod Files/can2.mod",
85
+ "sha256": "91572dc049a4afc0f36d43a9c9eccb971e55e8bedfd4a8092c6d7c45e20460b5",
86
+ "language": "NEURON",
87
+ "lines": 143,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 19794
91
+ },
92
+ {
93
+ "path": "Code/Chem/Mod Files/car.mod",
94
+ "sha256": "7b27e9f8925dfc2f8fffd7f77bbc383719d21c4c0fdb6f47160a888ad97a3545",
95
+ "language": "NEURON",
96
+ "lines": 88,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 19778
100
+ },
101
+ {
102
+ "path": "Code/Chem/Mod Files/cat.mod",
103
+ "sha256": "cd6acc03a5cef85e6bf5a2cab5b9beda85f503d3f51d4f4e54e79e92cb90ef90",
104
+ "language": "NEURON",
105
+ "lines": 128,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 19769
109
+ },
110
+ {
111
+ "path": "Code/Chem/Mod Files/ghkampa.mod",
112
+ "sha256": "3bb0e7e9ec7d5a1217ecf6b00972d56601a77e07472cb10ceb1ce7c6f7bc86f5",
113
+ "language": "NEURON",
114
+ "lines": 126,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 19807
118
+ },
119
+ {
120
+ "path": "Code/Chem/Mod Files/ghknmda.mod",
121
+ "sha256": "474a3e4dd108b05d8f8630e550de22ece86f2a28c1e06479bf0f0daec65797a6",
122
+ "language": "NEURON",
123
+ "lines": 145,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 19839
127
+ },
128
+ {
129
+ "path": "Code/Chem/Mod Files/h.mod",
130
+ "sha256": "dce220cef3c30f66aefdc235631666ead0ff1a9e3a340614f0a7c6918f4e1176",
131
+ "language": "NEURON",
132
+ "lines": 91,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 19698
136
+ },
137
+ {
138
+ "path": "Code/Chem/Mod Files/kadist.mod",
139
+ "sha256": "4abf4c159a95c11b9926089f3ab3a772594bf801bbd7ece0bc2cc800393dc745",
140
+ "language": "NEURON",
141
+ "lines": 107,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 19762
145
+ },
146
+ {
147
+ "path": "Code/Chem/Mod Files/kaprox.mod",
148
+ "sha256": "4b6381f8c6c548a4368d8d1268f0521fc71f0bb62c7e4abb962d48c56074348a",
149
+ "language": "NEURON",
150
+ "lines": 121,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 19760
154
+ },
155
+ {
156
+ "path": "Code/Chem/Mod Files/kdrca1.mod",
157
+ "sha256": "7f05515116ba2cecbc423bf7aa9082d4a101d517c1ebeadc90247746409e697c",
158
+ "language": "NEURON",
159
+ "lines": 91,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 19694
163
+ },
164
+ {
165
+ "path": "Code/Chem/Mod Files/km.mod",
166
+ "sha256": "9217cb4e8b356fdda76588b8b2ff2941a2af54c37a6bda0c89134cce3b9c4b56",
167
+ "language": "NEURON",
168
+ "lines": 80,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 19690
172
+ },
173
+ {
174
+ "path": "Code/Chem/Mod Files/minmax.mod",
175
+ "sha256": "fa5c7ddfbb8f8d1aa4d7fd8fadacf898be714a81f5c9b3966d5fe32aa29f1f18",
176
+ "language": "NEURON",
177
+ "lines": 35,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 19574
181
+ },
182
+ {
183
+ "path": "Code/Chem/Mod Files/na3.mod",
184
+ "sha256": "fa89bf05c5bf83ce42d3eef5c6ef636ed8d1ff0828e17f8c7402aa408966386d",
185
+ "language": "NEURON",
186
+ "lines": 132,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 19809
190
+ },
191
+ {
192
+ "path": "Code/Chem/Mod Files/na3s.mod",
193
+ "sha256": "b675ff50cf086abc2e825aa9ad1ae7947de9ec8188c90c633c8ea155b7e793fd",
194
+ "language": "NEURON",
195
+ "lines": 132,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 19820
199
+ },
200
+ {
201
+ "path": "Code/Chem/Mod Files/nax.mod",
202
+ "sha256": "e31509612421ac3ce15d46d91b234509ade12f733798b95c23e2bde7b96680ac",
203
+ "language": "NEURON",
204
+ "lines": 99,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 19749
208
+ },
209
+ {
210
+ "path": "Code/Chem/Mod Files/skkin.mod",
211
+ "sha256": "a345dc26aa586373e77a7b7d18fc1283605e5719479e3d3413339d0d17ba626a",
212
+ "language": "NEURON",
213
+ "lines": 67,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 19713
217
+ },
218
+ {
219
+ "path": "Code/Chem/Mod Files/vmax.mod",
220
+ "sha256": "7c6e1906973162fe2bde66339d8d0ff8a6bce65a7df243897006d431420ed105",
221
+ "language": "NEURON",
222
+ "lines": 22,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 19522
226
+ },
227
+ {
228
+ "path": "Code/Chem/n123.hoc",
229
+ "sha256": "e0b2324bb04c0f37d702bb71b75aa174a6d30d3e6f68da37c5b8e471954e8a39",
230
+ "language": "NEURON",
231
+ "lines": 5789,
232
+ "truncated": true,
233
+ "block": 6,
234
+ "row": 20022
235
+ },
236
+ {
237
+ "path": "Code/Gap/2a_GapSync_Act.hoc",
238
+ "sha256": "795cda9c44e0bd45d8353b452b9fa0467e19e2d0a2ef77955417a1b2e442e687",
239
+ "language": "NEURON",
240
+ "lines": 612,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 19982
244
+ },
245
+ {
246
+ "path": "Code/Gap/2a_LFPy_S1toS7.py",
247
+ "sha256": "d5027d1e82f89c8d5ee195141c437e682e4bc000a70e540c6f8207496b3c7277",
248
+ "language": "Python",
249
+ "lines": 449,
250
+ "truncated": false,
251
+ "block": 7,
252
+ "row": 8567
253
+ },
254
+ {
255
+ "path": "Code/Gap/2b_GapRand_Act.hoc",
256
+ "sha256": "4cc45b85bf521b786521580a0ccedf06c26781735a14e4535f312cf74cf97acf",
257
+ "language": "NEURON",
258
+ "lines": 617,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 19981
262
+ },
263
+ {
264
+ "path": "Code/Gap/2b_LFPy_S1toS7.py",
265
+ "sha256": "e5342bd3634696a6cb6054826633437f673ec012ecf4a95aa567961844c2c3c6",
266
+ "language": "Python",
267
+ "lines": 449,
268
+ "truncated": false,
269
+ "block": 7,
270
+ "row": 8568
271
+ },
272
+ {
273
+ "path": "Code/Gap/2c_GapPattern_Act.hoc",
274
+ "sha256": "8e42e6e2f8f7fa7ee135ccdcff88a8dfaf7e203ee478c6c3c1753154f134b881",
275
+ "language": "NEURON",
276
+ "lines": 647,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 19989
280
+ },
281
+ {
282
+ "path": "Code/Gap/2c_LFPy_S1toS7.py",
283
+ "sha256": "56d7cd2d43d3f49d82bdb1060a9a3b529bffa7f624eee94e08e6e9756938f413",
284
+ "language": "Python",
285
+ "lines": 449,
286
+ "truncated": false,
287
+ "block": 7,
288
+ "row": 8589
289
+ },
290
+ {
291
+ "path": "Code/Gap/Mod Files/cad.mod",
292
+ "sha256": "964b9bcf135353bd6c9441f7e526f441ce58f669ac09ffb686b91987dfd4bfd7",
293
+ "language": "NEURON",
294
+ "lines": 89,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 19814
298
+ },
299
+ {
300
+ "path": "Code/Gap/Mod Files/cal.mod",
301
+ "sha256": "f881194ce77521446ca035c48566c0bc44808fce0234bbf47252126d29d6cfb1",
302
+ "language": "NEURON",
303
+ "lines": 111,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 19829
307
+ },
308
+ {
309
+ "path": "Code/Gap/Mod Files/can2.mod",
310
+ "sha256": "91572dc049a4afc0f36d43a9c9eccb971e55e8bedfd4a8092c6d7c45e20460b5",
311
+ "language": "NEURON",
312
+ "lines": 143,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 19794
316
+ },
317
+ {
318
+ "path": "Code/Gap/Mod Files/car.mod",
319
+ "sha256": "7b27e9f8925dfc2f8fffd7f77bbc383719d21c4c0fdb6f47160a888ad97a3545",
320
+ "language": "NEURON",
321
+ "lines": 88,
322
+ "truncated": false,
323
+ "block": 6,
324
+ "row": 19778
325
+ },
326
+ {
327
+ "path": "Code/Gap/Mod Files/cat.mod",
328
+ "sha256": "cd6acc03a5cef85e6bf5a2cab5b9beda85f503d3f51d4f4e54e79e92cb90ef90",
329
+ "language": "NEURON",
330
+ "lines": 128,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 19769
334
+ },
335
+ {
336
+ "path": "Code/Gap/Mod Files/ghkampa.mod",
337
+ "sha256": "3bb0e7e9ec7d5a1217ecf6b00972d56601a77e07472cb10ceb1ce7c6f7bc86f5",
338
+ "language": "NEURON",
339
+ "lines": 126,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 19807
343
+ },
344
+ {
345
+ "path": "Code/Gap/Mod Files/ghknmda.mod",
346
+ "sha256": "474a3e4dd108b05d8f8630e550de22ece86f2a28c1e06479bf0f0daec65797a6",
347
+ "language": "NEURON",
348
+ "lines": 145,
349
+ "truncated": false,
350
+ "block": 6,
351
+ "row": 19839
352
+ },
353
+ {
354
+ "path": "Code/Gap/Mod Files/h.mod",
355
+ "sha256": "dce220cef3c30f66aefdc235631666ead0ff1a9e3a340614f0a7c6918f4e1176",
356
+ "language": "NEURON",
357
+ "lines": 91,
358
+ "truncated": false,
359
+ "block": 6,
360
+ "row": 19698
361
+ },
362
+ {
363
+ "path": "Code/Gap/Mod Files/kadist.mod",
364
+ "sha256": "4abf4c159a95c11b9926089f3ab3a772594bf801bbd7ece0bc2cc800393dc745",
365
+ "language": "NEURON",
366
+ "lines": 107,
367
+ "truncated": false,
368
+ "block": 6,
369
+ "row": 19762
370
+ },
371
+ {
372
+ "path": "Code/Gap/Mod Files/kaprox.mod",
373
+ "sha256": "4b6381f8c6c548a4368d8d1268f0521fc71f0bb62c7e4abb962d48c56074348a",
374
+ "language": "NEURON",
375
+ "lines": 121,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 19760
379
+ },
380
+ {
381
+ "path": "Code/Gap/Mod Files/kdrca1.mod",
382
+ "sha256": "7f05515116ba2cecbc423bf7aa9082d4a101d517c1ebeadc90247746409e697c",
383
+ "language": "NEURON",
384
+ "lines": 91,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 19694
388
+ },
389
+ {
390
+ "path": "Code/Gap/Mod Files/km.mod",
391
+ "sha256": "9217cb4e8b356fdda76588b8b2ff2941a2af54c37a6bda0c89134cce3b9c4b56",
392
+ "language": "NEURON",
393
+ "lines": 80,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 19690
397
+ },
398
+ {
399
+ "path": "Code/Gap/Mod Files/minmax.mod",
400
+ "sha256": "fa5c7ddfbb8f8d1aa4d7fd8fadacf898be714a81f5c9b3966d5fe32aa29f1f18",
401
+ "language": "NEURON",
402
+ "lines": 35,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 19574
406
+ },
407
+ {
408
+ "path": "Code/Gap/Mod Files/na3.mod",
409
+ "sha256": "fa89bf05c5bf83ce42d3eef5c6ef636ed8d1ff0828e17f8c7402aa408966386d",
410
+ "language": "NEURON",
411
+ "lines": 132,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 19809
415
+ },
416
+ {
417
+ "path": "Code/Gap/Mod Files/na3s.mod",
418
+ "sha256": "b675ff50cf086abc2e825aa9ad1ae7947de9ec8188c90c633c8ea155b7e793fd",
419
+ "language": "NEURON",
420
+ "lines": 132,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 19820
424
+ },
425
+ {
426
+ "path": "Code/Gap/Mod Files/nax.mod",
427
+ "sha256": "e31509612421ac3ce15d46d91b234509ade12f733798b95c23e2bde7b96680ac",
428
+ "language": "NEURON",
429
+ "lines": 99,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 19749
433
+ },
434
+ {
435
+ "path": "Code/Gap/Mod Files/skkin.mod",
436
+ "sha256": "a345dc26aa586373e77a7b7d18fc1283605e5719479e3d3413339d0d17ba626a",
437
+ "language": "NEURON",
438
+ "lines": 67,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 19713
442
+ },
443
+ {
444
+ "path": "Code/Gap/Mod Files/vmax.mod",
445
+ "sha256": "7c6e1906973162fe2bde66339d8d0ff8a6bce65a7df243897006d431420ed105",
446
+ "language": "NEURON",
447
+ "lines": 22,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 19522
451
+ },
452
+ {
453
+ "path": "Code/Gap/n123.hoc",
454
+ "sha256": "e0b2324bb04c0f37d702bb71b75aa174a6d30d3e6f68da37c5b8e471954e8a39",
455
+ "language": "NEURON",
456
+ "lines": 5789,
457
+ "truncated": true,
458
+ "block": 6,
459
+ "row": 20022
460
+ },
461
+ {
462
+ "path": "Code/Matlab/Fig1.m",
463
+ "sha256": "9f9c86ebb414e74b27fdacf67781e0f34897ff7acf967fd26674e895b0272296",
464
+ "language": "MATLAB",
465
+ "lines": 258,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 17123
469
+ },
470
+ {
471
+ "path": "Code/Matlab/Fig2.m",
472
+ "sha256": "b433472564b79b6d8f2fc0fd6b80c8f8755dee6fad2a55749e5ebeae6d2e517b",
473
+ "language": "MATLAB",
474
+ "lines": 276,
475
+ "truncated": false,
476
+ "block": 6,
477
+ "row": 16555
478
+ },
479
+ {
480
+ "path": "Code/Matlab/Fig3.m",
481
+ "sha256": "48c24e885cf5cf24e34a0128f0d1c1237b643b6208cdc3893f39589af06c144c",
482
+ "language": "MATLAB",
483
+ "lines": 67,
484
+ "truncated": false,
485
+ "block": 6,
486
+ "row": 9978
487
+ },
488
+ {
489
+ "path": "Code/Matlab/Fig4.m",
490
+ "sha256": "08ce0ef0b50b87d79608f7555aca730395e8788391c22f193824fc336307cd4b",
491
+ "language": "MATLAB",
492
+ "lines": 93,
493
+ "truncated": false,
494
+ "block": 6,
495
+ "row": 10358
496
+ },
497
+ {
498
+ "path": "Code/Matlab/Fig5.m",
499
+ "sha256": "d4e07aba4a5d311c95d7e5af486da005386ab5cb5092f0f16ff17f0519ad40cd",
500
+ "language": "MATLAB",
501
+ "lines": 96,
502
+ "truncated": false,
503
+ "block": 6,
504
+ "row": 11673
505
+ },
506
+ {
507
+ "path": "Code/Matlab/Fig6.m",
508
+ "sha256": "119e32f6878e743d8c64292e41a8437ddd179401be3f1f7c239a0f5a5baf901b",
509
+ "language": "MATLAB",
510
+ "lines": 148,
511
+ "truncated": false,
512
+ "block": 6,
513
+ "row": 13457
514
+ },
515
+ {
516
+ "path": "Code/Matlab/Fig7.m",
517
+ "sha256": "1f172c97aa4efde9b3ec51c0e3dd0077b9cb10b52c7ac595f2826cfff3d323dc",
518
+ "language": "MATLAB",
519
+ "lines": 225,
520
+ "truncated": false,
521
+ "block": 6,
522
+ "row": 16108
523
+ },
524
+ {
525
+ "path": "Code/Matlab/Fig8.m",
526
+ "sha256": "7c4b588461be663d82ee2adfca635b037acd3355d505d439f809ebc5abf87275",
527
+ "language": "MATLAB",
528
+ "lines": 250,
529
+ "truncated": false,
530
+ "block": 6,
531
+ "row": 16343
532
+ }
533
+ ]
534
+ }
manifests/6a/github.com__aertslab__scenic.json ADDED
@@ -0,0 +1,336 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/aertslab/scenic",
4
+ "url": "https://github.com/aertslab/SCENIC",
5
+ "host": "github.com",
6
+ "commit": "7a74341745cecd3505310c6c5755cad456756cf9",
7
+ "license": "GPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "7024f9be84819c9c8034f28acb00b41165c5e670b72d863d6e77f43d5fce724e",
14
+ "language": "License",
15
+ "lines": 677,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 2139
19
+ },
20
+ {
21
+ "path": "R/add_cellAnnotation.R",
22
+ "sha256": "b5a41d4bac8c91e71239ce339aff79b9fd4b8c6d90eb63f165aca5b38dcad8f2",
23
+ "language": "R",
24
+ "lines": 28,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 1644
28
+ },
29
+ {
30
+ "path": "R/aux_export2loom.R",
31
+ "sha256": "8d17985585cb257f020da56cb80553b61b470a74ee61f0f30c7596d023149ae8",
32
+ "language": "R",
33
+ "lines": 133,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 3558
37
+ },
38
+ {
39
+ "path": "R/aux_exportsForArboreto.R",
40
+ "sha256": "634a536bbffb5711315acb4a5cdf2f9fc44b9703f89a2c5e9e3f0f13a4401934",
41
+ "language": "R",
42
+ "lines": 23,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 1731
46
+ },
47
+ {
48
+ "path": "R/aux_geneFiltering.R",
49
+ "sha256": "817526ee403caadde1f8891220803165d6ed1df6daa2bb38d3f3983b490921e7",
50
+ "language": "R",
51
+ "lines": 88,
52
+ "truncated": false,
53
+ "block": 8,
54
+ "row": 2879
55
+ },
56
+ {
57
+ "path": "R/aux_importsFromPython.R",
58
+ "sha256": "be3a78295b5111fd38c4dec2e195e1232455674501807d86e1d39304ff841c25",
59
+ "language": "R",
60
+ "lines": 115,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 3284
64
+ },
65
+ {
66
+ "path": "R/aux_regulons.R",
67
+ "sha256": "24baca0c4defeb0c7aede5386240c625f68762e544fbec2ba065095f1a36058d",
68
+ "language": "R",
69
+ "lines": 158,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 3565
73
+ },
74
+ {
75
+ "path": "R/aux_rss.R",
76
+ "sha256": "1d074febd792ffbe7c928ca8fbf555df7f23667703d43c47e6525d0446f848dd",
77
+ "language": "R",
78
+ "lines": 173,
79
+ "truncated": false,
80
+ "block": 8,
81
+ "row": 3353
82
+ },
83
+ {
84
+ "path": "R/aux_viewMotifs.R",
85
+ "sha256": "39710a46ba99cbdfea0a87cdee6806265634ad934515668e8156a2e20cd326bc",
86
+ "language": "R",
87
+ "lines": 68,
88
+ "truncated": false,
89
+ "block": 8,
90
+ "row": 2541
91
+ },
92
+ {
93
+ "path": "R/class_ScenicOptions.R",
94
+ "sha256": "4648b39d3119fbc1dcd6aa96d5ee8adaf034342c96b1911d22e791d797434796",
95
+ "language": "R",
96
+ "lines": 510,
97
+ "truncated": false,
98
+ "block": 8,
99
+ "row": 4748
100
+ },
101
+ {
102
+ "path": "R/data_exports.R",
103
+ "sha256": "98424272c29c1e83bab3eda27ea5451afbafc01856b1a61ef9fefc1968af743d",
104
+ "language": "R",
105
+ "lines": 5,
106
+ "truncated": false,
107
+ "block": 8,
108
+ "row": 1274
109
+ },
110
+ {
111
+ "path": "R/dotHeatmap.R",
112
+ "sha256": "9bfd72e68a64774b214758325981eef4b9f0eb2b5fa377f182acbf289b766817",
113
+ "language": "R",
114
+ "lines": 41,
115
+ "truncated": false,
116
+ "block": 8,
117
+ "row": 1854
118
+ },
119
+ {
120
+ "path": "R/plotTsne_AUCellApp.R",
121
+ "sha256": "0076b7309c9489b74e3879ad589e95ed4227464220a668ef74f37524f7e77932",
122
+ "language": "R",
123
+ "lines": 35,
124
+ "truncated": false,
125
+ "block": 8,
126
+ "row": 1959
127
+ },
128
+ {
129
+ "path": "R/plotTsne_AUCellHtml.R",
130
+ "sha256": "ebb21650c79062f9b454d0b1a06e788769d8a3893d9e433184292e49ce3cfec9",
131
+ "language": "R",
132
+ "lines": 46,
133
+ "truncated": false,
134
+ "block": 8,
135
+ "row": 2055
136
+ },
137
+ {
138
+ "path": "R/plotTsne_compareSettings.R",
139
+ "sha256": "85d5bdf6d16b59cc01e0ca0934d2cc4c26398c0f58869ecda327e32358209b0f",
140
+ "language": "R",
141
+ "lines": 53,
142
+ "truncated": false,
143
+ "block": 8,
144
+ "row": 2245
145
+ },
146
+ {
147
+ "path": "R/plotTsne_rgb.R",
148
+ "sha256": "c66f38f2f7ae05b2f06255f28df7cbbdf092cbb2769f20d2a109c4e0d5f06926",
149
+ "language": "R",
150
+ "lines": 183,
151
+ "truncated": false,
152
+ "block": 8,
153
+ "row": 3902
154
+ },
155
+ {
156
+ "path": "R/priv_openDev.R",
157
+ "sha256": "0e37ccf2d926fa2e0b4767b9c5d417ee1f6a81df95936bbffbc22d55982ea76d",
158
+ "language": "R",
159
+ "lines": 32,
160
+ "truncated": false,
161
+ "block": 8,
162
+ "row": 1480
163
+ },
164
+ {
165
+ "path": "R/runCorrelation.R",
166
+ "sha256": "18bf60f85fd01e3d7a2ca2c2ef442fc075ae4776cec347dd8227d44ca56da70f",
167
+ "language": "R",
168
+ "lines": 27,
169
+ "truncated": false,
170
+ "block": 8,
171
+ "row": 1608
172
+ },
173
+ {
174
+ "path": "R/runGenie3.R",
175
+ "sha256": "8083ca9d753d7f83cce72b9f9674782723cb427055deabc9293ab732f76f818e",
176
+ "language": "R",
177
+ "lines": 120,
178
+ "truncated": false,
179
+ "block": 8,
180
+ "row": 3376
181
+ },
182
+ {
183
+ "path": "R/runSCENIC_1_coexNetwork2modules.R",
184
+ "sha256": "609e2a2de06aa0e4288feef8b0bd8d65985d185cf1880e804ccdac7e61e7661b",
185
+ "language": "R",
186
+ "lines": 240,
187
+ "truncated": false,
188
+ "block": 8,
189
+ "row": 4023
190
+ },
191
+ {
192
+ "path": "R/runSCENIC_2_createRegulons.R",
193
+ "sha256": "61170b0d674977a79e58951d25e6f703863178d8d65515d7a7bb6651403d76b9",
194
+ "language": "R",
195
+ "lines": 439,
196
+ "truncated": false,
197
+ "block": 8,
198
+ "row": 4793
199
+ },
200
+ {
201
+ "path": "R/runSCENIC_2_createRegulons_Original.R",
202
+ "sha256": "7c086d7cd11997ec1743fc4af3b8421322f51462685dc5c54e24c0e9ff2bbec1",
203
+ "language": "R",
204
+ "lines": 336,
205
+ "truncated": false,
206
+ "block": 8,
207
+ "row": 4668
208
+ },
209
+ {
210
+ "path": "R/runSCENIC_3_scoreCells.R",
211
+ "sha256": "ff416c0a4cab62b3d53d6d2214cd67a861ca3d839aa6ce9d4673d393881d6b7f",
212
+ "language": "R",
213
+ "lines": 173,
214
+ "truncated": false,
215
+ "block": 8,
216
+ "row": 3994
217
+ },
218
+ {
219
+ "path": "R/runSCENIC_4.R",
220
+ "sha256": "cc3c0f757f93c0be6e474e4b9529d4abb5210ba5a50ac8d6ee70277c5901a6c5",
221
+ "language": "R",
222
+ "lines": 189,
223
+ "truncated": false,
224
+ "block": 8,
225
+ "row": 4003
226
+ },
227
+ {
228
+ "path": "R/tsneAUC.R",
229
+ "sha256": "c45513e02a81cc196fbb76fb47ec1cf73ac99acaba1ac82f454411b63f3324de",
230
+ "language": "R",
231
+ "lines": 120,
232
+ "truncated": false,
233
+ "block": 8,
234
+ "row": 3338
235
+ },
236
+ {
237
+ "path": "README.md",
238
+ "sha256": "cdc01c0174bcf50094ea07327925e4551205bc2ce2b9b41a625841ad4c3f90f5",
239
+ "language": "Text",
240
+ "lines": 68,
241
+ "truncated": false,
242
+ "block": 8,
243
+ "row": 10284
244
+ },
245
+ {
246
+ "path": "Tutorials_JupyterNotebooks/SCENIC_tutorial_1-RunningVSN.ipynb",
247
+ "sha256": "d6160b53ce6dcc59c714e7c83f903d2ea9581913df57f711fe1bb618b525c700",
248
+ "language": "Jupyter",
249
+ "lines": 285,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 383
253
+ },
254
+ {
255
+ "path": "Tutorials_JupyterNotebooks/SCENIC_tutorial_2-ExploringOutput.ipynb",
256
+ "sha256": "b43705753219167494efb6dd55a34b605d3c2c71394d326ddacf30e3c5269049",
257
+ "language": "Jupyter",
258
+ "lines": 502,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 817
262
+ },
263
+ {
264
+ "path": "vignettes/SCENIC_Running.Rmd",
265
+ "sha256": "444161390c3c1851b9166f362e8753861ffb5774044a3fa8db98fd147794e269",
266
+ "language": "R",
267
+ "lines": 688,
268
+ "truncated": false,
269
+ "block": 8,
270
+ "row": 5035
271
+ },
272
+ {
273
+ "path": "vignettes/SCENIC_Setup.Rmd",
274
+ "sha256": "7b060e123b5ad3272848299bcf709b1bdd8ef36adce4f9dffcf2ec56fa64a406",
275
+ "language": "R",
276
+ "lines": 335,
277
+ "truncated": false,
278
+ "block": 8,
279
+ "row": 4575
280
+ },
281
+ {
282
+ "path": "vignettes/detailedStep_0_geneFilter.Rmd",
283
+ "sha256": "815df29ee1718d2f1d4f3954a47f0c2f3b07217a3a8d4214612e12491cb5f329",
284
+ "language": "R",
285
+ "lines": 103,
286
+ "truncated": false,
287
+ "block": 8,
288
+ "row": 2690
289
+ },
290
+ {
291
+ "path": "vignettes/detailedStep_1_coexNetwork2modules.Rmd",
292
+ "sha256": "58aaf71315457662bc4178779747d50281fe2f42bdfa5c1a7c92aa1d3afcd13d",
293
+ "language": "R",
294
+ "lines": 185,
295
+ "truncated": false,
296
+ "block": 8,
297
+ "row": 3966
298
+ },
299
+ {
300
+ "path": "vignettes/detailedStep_2_createRegulons.Rmd",
301
+ "sha256": "809231cbd0db8d2e0db51e0fec654d1690a211bf7435135c54f37629a184f882",
302
+ "language": "R",
303
+ "lines": 395,
304
+ "truncated": false,
305
+ "block": 8,
306
+ "row": 4784
307
+ },
308
+ {
309
+ "path": "vignettes/detailedStep_3_scoreCells.Rmd",
310
+ "sha256": "d09a9932e8b51b5be288db510d9a51cfff5584d0cc03bdd369a73b9927fe4545",
311
+ "language": "R",
312
+ "lines": 222,
313
+ "truncated": false,
314
+ "block": 8,
315
+ "row": 4176
316
+ },
317
+ {
318
+ "path": "vignettes/detailedStep_4_aucell_binarize.Rmd",
319
+ "sha256": "b119e911bb9a72e4a49f200f9c0608aaf436e9d9c48c580876fdf3869de0579b",
320
+ "language": "R",
321
+ "lines": 170,
322
+ "truncated": false,
323
+ "block": 8,
324
+ "row": 3649
325
+ },
326
+ {
327
+ "path": "vignettes/importing_pySCENIC.Rmd",
328
+ "sha256": "9f5533bbbf39bf2a14accd74ce1af0d5683f56969b1ccecaf3959524676cf0a6",
329
+ "language": "R",
330
+ "lines": 114,
331
+ "truncated": false,
332
+ "block": 8,
333
+ "row": 2748
334
+ }
335
+ ]
336
+ }
manifests/6a/github.com__danelonlab__mosaic.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/danelonlab/mosaic",
4
+ "url": "https://github.com/DanelonLab/MOSAIC/tree/main/Application-MinD-MTS-Library",
5
+ "host": "github.com",
6
+ "commit": "e3f009009b42ddc736f6cc83aa3b15535e99add8",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "Application-MinD-MTS-Library/20240529-MinD-MTS-library-analysis-script.R",
13
+ "sha256": "367fdbb95d8880f570a85db115f7a0c33ee119cd7094b01d04922c7854992c6a",
14
+ "language": "R",
15
+ "lines": 153,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 3571
19
+ },
20
+ {
21
+ "path": "LICENSE",
22
+ "sha256": "0c5d5d9e2e599ef47cfcb48722ead335af31f6ba9082d6de8bf91e24b9c2975b",
23
+ "language": "License",
24
+ "lines": 21,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 1729
28
+ },
29
+ {
30
+ "path": "MOSAIC-library-analysis-script.R",
31
+ "sha256": "f66a82b7bd44f939faed575d6075a71d827f78d11186cdea440b4a43979347a0",
32
+ "language": "R",
33
+ "lines": 327,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 4436
37
+ },
38
+ {
39
+ "path": "README.md",
40
+ "sha256": "d9365e19e8cf03cdcc3f8b4573327bedf953f54770fc4faaaa7f8889bb8662bd",
41
+ "language": "Text",
42
+ "lines": 64,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 10046
46
+ }
47
+ ]
48
+ }
manifests/6a/github.com__jorritmontijn__zetatest.json ADDED
@@ -0,0 +1,606 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/jorritmontijn/zetatest",
4
+ "url": "https://github.com/JorritMontijn/zetatest",
5
+ "host": "github.com",
6
+ "commit": "1b7a1ee05726046706d89e5ea386d90aac0f6d87",
7
+ "license": "GPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "605e9047a563c5c8396ffb18232aa4304ec56586aee537c45064c6fb425e44ad",
14
+ "language": "License",
15
+ "lines": 674,
16
+ "truncated": false,
17
+ "block": 3,
18
+ "row": 8170
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "c9b6ea26bbc6bab4656fb541310313e28e320b8d4759f0e1802172a8b99c1544",
23
+ "language": "Text",
24
+ "lines": 51,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10307
28
+ },
29
+ {
30
+ "path": "dependencies/calcTsZetaOne.m",
31
+ "sha256": "46a200396efb861ebc7380d55ea2eee677dcd5ec6622d5a857a38ce7cc5885b6",
32
+ "language": "MATLAB",
33
+ "lines": 160,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 15604
37
+ },
38
+ {
39
+ "path": "dependencies/calcTsZetaTwo.m",
40
+ "sha256": "ddfecb25a823b9ebd658269750452b6d00cc9c91595538a2e547cf9bec4d5cb9",
41
+ "language": "MATLAB",
42
+ "lines": 129,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 14939
46
+ },
47
+ {
48
+ "path": "dependencies/calcZetaOne.m",
49
+ "sha256": "a021bf5b17eb4a953047d64135c7fe4cec375aa879fc32a14fb0689da2c429d6",
50
+ "language": "MATLAB",
51
+ "lines": 126,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 14764
55
+ },
56
+ {
57
+ "path": "dependencies/calcZetaTwo.m",
58
+ "sha256": "81ff1b5b86943a3103d219168a055ff2b87ae1cd644314247e993fbaa2e33b12",
59
+ "language": "MATLAB",
60
+ "lines": 146,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 15188
64
+ },
65
+ {
66
+ "path": "dependencies/cell2vec.m",
67
+ "sha256": "825a60a98e6041a770e58e731958177821b3ce6930625f4d5232cfa289a62d79",
68
+ "language": "MATLAB",
69
+ "lines": 28,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 4695
73
+ },
74
+ {
75
+ "path": "dependencies/doPEP.m",
76
+ "sha256": "95c10d2374eeef0a5df38f49c9c0bd392d152ccfdd352982c256397ffc674460",
77
+ "language": "MATLAB",
78
+ "lines": 164,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 15648
82
+ },
83
+ {
84
+ "path": "dependencies/errorfill.m",
85
+ "sha256": "e0e922000d154a3868f96c6750ac32266f8243a7cf6a59f322bb0edee984c99f",
86
+ "language": "MATLAB",
87
+ "lines": 65,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 9907
91
+ },
92
+ {
93
+ "path": "dependencies/fillnans.m",
94
+ "sha256": "4c824fd86845c382314697f78718675a50898843893624a33e03e3195aa81361",
95
+ "language": "MATLAB",
96
+ "lines": 14,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 3976
100
+ },
101
+ {
102
+ "path": "dependencies/fixfig.m",
103
+ "sha256": "bfe8aecf0f52a1e7aba2862c1de62ed56af8ed30d652524ec36368073fd2f621",
104
+ "language": "MATLAB",
105
+ "lines": 69,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 10535
109
+ },
110
+ {
111
+ "path": "dependencies/flat.m",
112
+ "sha256": "df60ea1dbb15cccdd4fc92c8ce9c9684f18e311b2370aeb6dc2045805bc7f974",
113
+ "language": "MATLAB",
114
+ "lines": 6,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 2285
118
+ },
119
+ {
120
+ "path": "dependencies/getGumbel.m",
121
+ "sha256": "f6ce57712deaec02eca8ea6833a82892c71c27dba5f162dab811ff0966eeefb3",
122
+ "language": "MATLAB",
123
+ "lines": 59,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 10033
127
+ },
128
+ {
129
+ "path": "dependencies/getInterpolatedTimeSeries.m",
130
+ "sha256": "b4637d184c1f12c0c3e1dbf734f08844271de2b11b8d54cf8ac568293b4b84e3",
131
+ "language": "MATLAB",
132
+ "lines": 102,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 12716
136
+ },
137
+ {
138
+ "path": "dependencies/getMultiScaleDeriv.m",
139
+ "sha256": "2773556a8a9b058bb482b6cb89dd4a1d0b7d1651945a7389a0e02124d8be686e",
140
+ "language": "MATLAB",
141
+ "lines": 193,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 15835
145
+ },
146
+ {
147
+ "path": "dependencies/getOnset.m",
148
+ "sha256": "9ba3ea80c64326de51c4369c8a77c52c1238df7cc52178124fa078b0c69a2eed",
149
+ "language": "MATLAB",
150
+ "lines": 69,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 10927
154
+ },
155
+ {
156
+ "path": "dependencies/getPeak.m",
157
+ "sha256": "1ca954c14a9ca65c38717166809c17b92251ec414404584fc1c65c09a42ad18b",
158
+ "language": "MATLAB",
159
+ "lines": 106,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 13766
163
+ },
164
+ {
165
+ "path": "dependencies/getPseudoSpikeVectors.m",
166
+ "sha256": "0f48ef8d57b0c33329d271182bc3691bc51be2945d3e450edb4f42cb34186de2",
167
+ "language": "MATLAB",
168
+ "lines": 118,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 13418
172
+ },
173
+ {
174
+ "path": "dependencies/getPseudoTimeSeries.m",
175
+ "sha256": "9b209b54afd55e9fd7d4fc8733cdd059828080a839f362c39901e165f7298206",
176
+ "language": "MATLAB",
177
+ "lines": 103,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 13425
181
+ },
182
+ {
183
+ "path": "dependencies/getSpikeT.m",
184
+ "sha256": "c8f99030fc9b484233cf9c48b1a2c15712b50f4ee3ffac60db8e7c570283a2cc",
185
+ "language": "MATLAB",
186
+ "lines": 27,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 5920
190
+ },
191
+ {
192
+ "path": "dependencies/getSpikesInTrial.m",
193
+ "sha256": "27c8726e64cd5eb4dabc29d4e21ee7a11058702c305a5af60c15acbcf72973b5",
194
+ "language": "MATLAB",
195
+ "lines": 74,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 11465
199
+ },
200
+ {
201
+ "path": "dependencies/getTempOffset.m",
202
+ "sha256": "dc9debddeb13ca3a04906c6b5b10b3fcd2bff1b9b4bf11d1574ae0ddbd4f3c5d",
203
+ "language": "MATLAB",
204
+ "lines": 22,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 5803
208
+ },
209
+ {
210
+ "path": "dependencies/getTempOffsetOne.m",
211
+ "sha256": "941902bf60a918bfb5b31cf83b5eb41c2279578373b47c7ad4bd2aff56bdad14",
212
+ "language": "MATLAB",
213
+ "lines": 24,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 6054
217
+ },
218
+ {
219
+ "path": "dependencies/getTempOffsetTwo.m",
220
+ "sha256": "ba2e1916ee2677cef6156862fa855080fe7470407db580fdbce6c1ae9da9251b",
221
+ "language": "MATLAB",
222
+ "lines": 45,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 9728
226
+ },
227
+ {
228
+ "path": "dependencies/getTraceInTrial.m",
229
+ "sha256": "2ded4941584921c8d0ec0d7930f1a1453c3bb11d6f3cf0b8106bb15f8ebb3dcd",
230
+ "language": "MATLAB",
231
+ "lines": 40,
232
+ "truncated": false,
233
+ "block": 6,
234
+ "row": 7894
235
+ },
236
+ {
237
+ "path": "dependencies/getTraceOffsetOne.m",
238
+ "sha256": "6b96d0da49dcf95fde068e169febe6556401284cc3152ac756ccd84c1abdaa73",
239
+ "language": "MATLAB",
240
+ "lines": 32,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 7477
244
+ },
245
+ {
246
+ "path": "dependencies/getTraceOffsetTwo.m",
247
+ "sha256": "5d29a2ff364873e3482c9872c0c4b311c60b2822e0e8c404c19b0192181b5070",
248
+ "language": "MATLAB",
249
+ "lines": 22,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 5212
253
+ },
254
+ {
255
+ "path": "dependencies/getTsRefT.m",
256
+ "sha256": "5b341865a327e30a9cbbc8e08d315347650571b8e5cb36806e7ac8f35ecc9735",
257
+ "language": "MATLAB",
258
+ "lines": 46,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 8851
262
+ },
263
+ {
264
+ "path": "dependencies/getUniqueSpikes.m",
265
+ "sha256": "2e713dac276796d82a23f6ddeaca559e5c4f6971ebe0dd23da0a7b6a4cb4a92f",
266
+ "language": "MATLAB",
267
+ "lines": 24,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 6757
271
+ },
272
+ {
273
+ "path": "dependencies/getZetaP.m",
274
+ "sha256": "3f2e8ac0235efb379c2dd09f59a53173d344b3bdd39d4d308eead2baf3026c71",
275
+ "language": "MATLAB",
276
+ "lines": 34,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 7393
280
+ },
281
+ {
282
+ "path": "dependencies/isaxes.m",
283
+ "sha256": "9fa9d15bc414ac1f25f07d6e841d6276559a6f7d4e5b6435135cb4d7f2282420",
284
+ "language": "MATLAB",
285
+ "lines": 3,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 2434
289
+ },
290
+ {
291
+ "path": "dependencies/lininterp1f.c",
292
+ "sha256": "8857b6ec898e61991a96c9d6f2cc96de777fdb522cadff9c15045fe256053be9",
293
+ "language": "C",
294
+ "lines": 151,
295
+ "truncated": false,
296
+ "block": 5,
297
+ "row": 239
298
+ },
299
+ {
300
+ "path": "dependencies/makeZetaPlot.m",
301
+ "sha256": "852495c5f5a9914c32de0edde26e93172909e4cfa77488899a2872dae439241e",
302
+ "language": "MATLAB",
303
+ "lines": 179,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 14789
307
+ },
308
+ {
309
+ "path": "dependencies/plotRaster.m",
310
+ "sha256": "e638494cec6871e3b0545b245b75cd33c9a5c67cff96175c2b9f9d84ecf6d159",
311
+ "language": "MATLAB",
312
+ "lines": 49,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 8435
316
+ },
317
+ {
318
+ "path": "example/runExampleZETA.m",
319
+ "sha256": "1556756aea9005c77edf53022c0ae6773beabf830c9873d45f0b3d78e8e87661",
320
+ "language": "MATLAB",
321
+ "lines": 229,
322
+ "truncated": false,
323
+ "block": 6,
324
+ "row": 17976
325
+ },
326
+ {
327
+ "path": "getIFR.m",
328
+ "sha256": "416d178ca742d06f5b295174c4f175d30741e44e4c77b3a3f0a0027076bb1307",
329
+ "language": "MATLAB",
330
+ "lines": 103,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 13022
334
+ },
335
+ {
336
+ "path": "latenzy/matlab/dependencies/calcTempDiff.m",
337
+ "sha256": "f077572a70fde6c31084d630ce1858b82f56246b6bd34dc60c87c3d832b50cab",
338
+ "language": "MATLAB",
339
+ "lines": 35,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 6559
343
+ },
344
+ {
345
+ "path": "latenzy/matlab/dependencies/calcTempDiff2.m",
346
+ "sha256": "95a4a035a8ec10f24a0c6df2ff016b0cf9df464f884eb1099a15f6f949f96f97",
347
+ "language": "MATLAB",
348
+ "lines": 58,
349
+ "truncated": false,
350
+ "block": 6,
351
+ "row": 10861
352
+ },
353
+ {
354
+ "path": "latenzy/matlab/dependencies/cell2vec.m",
355
+ "sha256": "825a60a98e6041a770e58e731958177821b3ce6930625f4d5232cfa289a62d79",
356
+ "language": "MATLAB",
357
+ "lines": 28,
358
+ "truncated": false,
359
+ "block": 6,
360
+ "row": 4695
361
+ },
362
+ {
363
+ "path": "latenzy/matlab/dependencies/computePval.m",
364
+ "sha256": "63443b85fc34e20cae1fb67cca32e035c0e668ff967dd6a70e154403076c5e51",
365
+ "language": "MATLAB",
366
+ "lines": 62,
367
+ "truncated": false,
368
+ "block": 6,
369
+ "row": 10491
370
+ },
371
+ {
372
+ "path": "latenzy/matlab/dependencies/fillnans.m",
373
+ "sha256": "4c824fd86845c382314697f78718675a50898843893624a33e03e3195aa81361",
374
+ "language": "MATLAB",
375
+ "lines": 14,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 3976
379
+ },
380
+ {
381
+ "path": "latenzy/matlab/dependencies/getAbyss.m",
382
+ "sha256": "5628c022e452d07a90ea7a1feed9e30ad3512c0d7ae052fcad72057b1072bac7",
383
+ "language": "MATLAB",
384
+ "lines": 279,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 18275
388
+ },
389
+ {
390
+ "path": "latenzy/matlab/dependencies/getDistinctSpikes.m",
391
+ "sha256": "ce60443f888b2f210a4614b7705956bb5448acaee1ea91299835c5a972b77a84",
392
+ "language": "MATLAB",
393
+ "lines": 17,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 5223
397
+ },
398
+ {
399
+ "path": "latenzy/matlab/dependencies/getGumbel.m",
400
+ "sha256": "f6d6f27af5a7f7250846618ccd4535b87530b0a1797dd87e84f014c58590c4e0",
401
+ "language": "MATLAB",
402
+ "lines": 59,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 10034
406
+ },
407
+ {
408
+ "path": "latenzy/matlab/dependencies/getPseudoTimes.m",
409
+ "sha256": "1c84230a16e9144c1b2a9dba364b8db5c450030cd3c790813fec7680225c3cea",
410
+ "language": "MATLAB",
411
+ "lines": 133,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 14121
415
+ },
416
+ {
417
+ "path": "latenzy/matlab/dependencies/getRelSpikeTimes.m",
418
+ "sha256": "fc46dadfa6565d2335fe2d00151fc37914d3e4653c0f09f690a294fa9299edaf",
419
+ "language": "MATLAB",
420
+ "lines": 52,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 9735
424
+ },
425
+ {
426
+ "path": "latenzy/matlab/dependencies/lininterp1f.c",
427
+ "sha256": "8857b6ec898e61991a96c9d6f2cc96de777fdb522cadff9c15045fe256053be9",
428
+ "language": "C",
429
+ "lines": 151,
430
+ "truncated": false,
431
+ "block": 5,
432
+ "row": 239
433
+ },
434
+ {
435
+ "path": "latenzy/matlab/dependencies/makeLatenzy2Figs.m",
436
+ "sha256": "f874b8b3ee8c80ea1b70d156eb87881e30fcc8883ceb2ae1e27a540db5f36fe9",
437
+ "language": "MATLAB",
438
+ "lines": 155,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 15521
442
+ },
443
+ {
444
+ "path": "latenzy/matlab/dependencies/makeLatenzyFigs.m",
445
+ "sha256": "e735d0c16321bad9ee8407740e936d10df4de92e6f3613a465733ecd75216184",
446
+ "language": "MATLAB",
447
+ "lines": 92,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 12902
451
+ },
452
+ {
453
+ "path": "latenzy/matlab/dependencies/my_randperm.m",
454
+ "sha256": "8a67b1bfedbcaa2f3b0c3e25e57d5c4534eac63e901e83b6797c7f6160d87da0",
455
+ "language": "MATLAB",
456
+ "lines": 11,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 2680
460
+ },
461
+ {
462
+ "path": "latenzy/matlab/dependencies/rasterPlot.m",
463
+ "sha256": "4a23aa5c95872f82956d3170d65ecb888db5f78c49f6591ac67905689a8dfda5",
464
+ "language": "MATLAB",
465
+ "lines": 180,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 15639
469
+ },
470
+ {
471
+ "path": "latenzy/matlab/dependencies/runJitterBootstraps.m",
472
+ "sha256": "266d37712506793667087102735597ac55d026023fe2a42c7a9626b2609da3a2",
473
+ "language": "MATLAB",
474
+ "lines": 70,
475
+ "truncated": false,
476
+ "block": 6,
477
+ "row": 10113
478
+ },
479
+ {
480
+ "path": "latenzy/matlab/dependencies/runSwapBootstraps.m",
481
+ "sha256": "92b167db039cf5b6721f3c2de0310fe5942cd35a5b4d905e487fc95254497266",
482
+ "language": "MATLAB",
483
+ "lines": 93,
484
+ "truncated": false,
485
+ "block": 6,
486
+ "row": 11984
487
+ },
488
+ {
489
+ "path": "latenzy/matlab/dependencies/val2idx.m",
490
+ "sha256": "e67d1c0a5f8b0e8180cd92dc13c9f50d0e624ae3fe785b55639a44bdf56beae3",
491
+ "language": "MATLAB",
492
+ "lines": 42,
493
+ "truncated": false,
494
+ "block": 6,
495
+ "row": 7713
496
+ },
497
+ {
498
+ "path": "latenzy/matlab/latenzy.m",
499
+ "sha256": "28b572d3047082083e56755aeba00db1949ab0be070c972fe174ae6793c4a583",
500
+ "language": "MATLAB",
501
+ "lines": 261,
502
+ "truncated": false,
503
+ "block": 6,
504
+ "row": 16960
505
+ },
506
+ {
507
+ "path": "latenzy/matlab/latenzy2.m",
508
+ "sha256": "49e267b39fb39fb7a98ede5eddf00ae2e9968562f55d3c61be1b8537b6c2db54",
509
+ "language": "MATLAB",
510
+ "lines": 308,
511
+ "truncated": false,
512
+ "block": 6,
513
+ "row": 17580
514
+ },
515
+ {
516
+ "path": "latenzy/python/dependencies.py",
517
+ "sha256": "55ebfe644b2c8ae955771134ed6eb65e24e122af081e42a00cfbb27aea9cada1",
518
+ "language": "Python",
519
+ "lines": 868,
520
+ "truncated": false,
521
+ "block": 7,
522
+ "row": 11018
523
+ },
524
+ {
525
+ "path": "latenzy/python/example_latenzy.py",
526
+ "sha256": "9b31701e3be0d73e74816574a85cdd509a3709462c4ed1d00afba3d21260087e",
527
+ "language": "Python",
528
+ "lines": 49,
529
+ "truncated": false,
530
+ "block": 6,
531
+ "row": 27674
532
+ },
533
+ {
534
+ "path": "latenzy/python/example_latenzy2.py",
535
+ "sha256": "2657e80fcca1eec919cb998363e0bd507ad772813842b154fb4abf425988d4d2",
536
+ "language": "Python",
537
+ "lines": 73,
538
+ "truncated": false,
539
+ "block": 6,
540
+ "row": 33319
541
+ },
542
+ {
543
+ "path": "latenzy/python/latenzy.py",
544
+ "sha256": "0172208a2d489b37f7553e81b58f6661bbf8f6ddae5f744555f8d6328a31c746",
545
+ "language": "Python",
546
+ "lines": 449,
547
+ "truncated": false,
548
+ "block": 7,
549
+ "row": 7168
550
+ },
551
+ {
552
+ "path": "latenzy/python/setup.py",
553
+ "sha256": "d9e0bec87eab442cafc9794bcd04bcd5d020c610fd32cd1b8e03f1092e5d2d25",
554
+ "language": "Python",
555
+ "lines": 28,
556
+ "truncated": false,
557
+ "block": 6,
558
+ "row": 26138
559
+ },
560
+ {
561
+ "path": "testZetatest.m",
562
+ "sha256": "2abe5ef96b794d6aaf59e44301cd161ed8b9a33ea246b94d37a287c742a9cdc6",
563
+ "language": "MATLAB",
564
+ "lines": 123,
565
+ "truncated": false,
566
+ "block": 6,
567
+ "row": 14797
568
+ },
569
+ {
570
+ "path": "zetatest.m",
571
+ "sha256": "191237e643aaf56c6d53c45908ce317a6a9b3b1bdd46157f8bea0726ce735fa5",
572
+ "language": "MATLAB",
573
+ "lines": 336,
574
+ "truncated": false,
575
+ "block": 6,
576
+ "row": 18149
577
+ },
578
+ {
579
+ "path": "zetatest2.m",
580
+ "sha256": "56137df6bfad4c17a9f9d8d760514b1765aa94e8f3bc01313f33b25cc0093458",
581
+ "language": "MATLAB",
582
+ "lines": 259,
583
+ "truncated": false,
584
+ "block": 6,
585
+ "row": 17091
586
+ },
587
+ {
588
+ "path": "zetatstest.m",
589
+ "sha256": "a8b882ab48795fc9b073d65b3d71eefcab570599ec9ecb18de72553bf2fdbc47",
590
+ "language": "MATLAB",
591
+ "lines": 324,
592
+ "truncated": false,
593
+ "block": 6,
594
+ "row": 17681
595
+ },
596
+ {
597
+ "path": "zetatstest2.m",
598
+ "sha256": "a40237231db3796e915180a6c9890d12060ada0d5aea940b1dfe6da6ed3b549c",
599
+ "language": "MATLAB",
600
+ "lines": 295,
601
+ "truncated": false,
602
+ "block": 6,
603
+ "row": 17320
604
+ }
605
+ ]
606
+ }
manifests/6a/github.com__min-wu-lab__2023-tong-et-al.json ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/min-wu-lab/2023-tong-et-al",
4
+ "url": "https://github.com/min-wu-lab/2023-Tong-et-al",
5
+ "host": "github.com",
6
+ "commit": "f37490c2c29eb5d07f3469dceb1ef06d22f7eea2",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "a7112dc27d9db9dcfe2fd657672becb385e9cb4a91733652e279c814aa4a5a8e",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1334
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "b88abe5766c47359f5cfff5494150ecfd314ec519cafad54f2aee0b9d7135cd0",
23
+ "language": "Text",
24
+ "lines": 88,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10499
28
+ },
29
+ {
30
+ "path": "src/OS_Xcorr_v3.m",
31
+ "sha256": "e494e16045d799032f8da4def4f71fe7f12557e7c8142d1e4aa0704aea0e2880",
32
+ "language": "MATLAB",
33
+ "lines": 128,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 14824
37
+ },
38
+ {
39
+ "path": "src/OS_alignpeaks_2c.m",
40
+ "sha256": "bc8b67bf38759faf7d88f815efd5019fec1e7ecfb1a81829b7d2e4ddb718fc3d",
41
+ "language": "MATLAB",
42
+ "lines": 241,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 17636
46
+ },
47
+ {
48
+ "path": "src/OS_fft.m",
49
+ "sha256": "ce564159e9ac515bf43bd4ce3647266ec60c3ba7d3499ce19d41968adc8e220d",
50
+ "language": "MATLAB",
51
+ "lines": 155,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 15634
55
+ },
56
+ {
57
+ "path": "src/OS_plot_1c.m",
58
+ "sha256": "fd0fa87bbccf354d5b0e4ec00e8dfcca130a93b814392c3c964479bb9c7eed08",
59
+ "language": "MATLAB",
60
+ "lines": 57,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 10618
64
+ },
65
+ {
66
+ "path": "src/OS_plot_1c_3d.m",
67
+ "sha256": "e5f0f7ed7bcfbb2db5834af131c0e90ebdab82291e875430c7f29d533dba6208",
68
+ "language": "MATLAB",
69
+ "lines": 79,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 11376
73
+ },
74
+ {
75
+ "path": "src/OS_plotshaded.m",
76
+ "sha256": "665ba622a543f4ccecdc26d51d53002c5fbb811d3823b533dfa1092fbb3e117c",
77
+ "language": "MATLAB",
78
+ "lines": 48,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 8015
82
+ },
83
+ {
84
+ "path": "src/OS_poincare_v4.m",
85
+ "sha256": "cea7d586992cc4148dd537565fea37516ac31c5f8332b2472e76b32a96f30398",
86
+ "language": "MATLAB",
87
+ "lines": 209,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 16779
91
+ },
92
+ {
93
+ "path": "src/OS_wavelet_v3_yPeriod.m",
94
+ "sha256": "fa7313d8871a6614ca6f5e100c8c16e2a072635265ef5d478aca296284bffb04",
95
+ "language": "MATLAB",
96
+ "lines": 60,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 9995
100
+ },
101
+ {
102
+ "path": "src/callAnalysisFuncs.m",
103
+ "sha256": "ba9416b7cc001099ee7bd22e18113779370904f21b8f3cd5d6a2a24a3c510e0e",
104
+ "language": "MATLAB",
105
+ "lines": 135,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 14574
109
+ },
110
+ {
111
+ "path": "toRun.m",
112
+ "sha256": "86d668077a706024777755057e6f65ba70c049b9f3d146ff57b3781e3480aed7",
113
+ "language": "MATLAB",
114
+ "lines": 28,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 5886
118
+ }
119
+ ]
120
+ }
manifests/6a/github.com__mrkn7__sustainable-science-mapping.json ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/mrkn7/sustainable-science-mapping",
4
+ "url": "https://github.com/mrkn7/sustainable-science-mapping",
5
+ "host": "github.com",
6
+ "commit": "38583edfa1c8be71683b2b499d3aff39b65cfbbd",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "c208d6be7d76f0356878af18f8130491adaa4693faaa2ea038c6877e4e3285d7",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1706
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "5658da771b592dce14b1d5c2169fd2973d4e35b0072050dbc08bb46ee9a49004",
23
+ "language": "Text",
24
+ "lines": 108,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10422
28
+ },
29
+ {
30
+ "path": "app.py",
31
+ "sha256": "38fbf1ccf56ae5366a0542e08b3ccfa991d9cbabed7d816dc43ed9c67ca2eb66",
32
+ "language": "Python",
33
+ "lines": 188,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 43192
37
+ },
38
+ {
39
+ "path": "models/attention_gru/__init__.py",
40
+ "sha256": "4a14e850061f1a8a727b000553037a9fff7a9094108d6549328fb26c1c2e1b0e",
41
+ "language": "Python",
42
+ "lines": 7,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 21024
46
+ },
47
+ {
48
+ "path": "models/attention_gru/attention_gru.py",
49
+ "sha256": "ff9435694e0fefef47d3a9e43930e642b210beff2a339a988c2d66d8c425568c",
50
+ "language": "Python",
51
+ "lines": 47,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 30709
55
+ },
56
+ {
57
+ "path": "models/attention_gru/inference.py",
58
+ "sha256": "c10735bf5f2cfa758814b74229e92e992fe35d8ad11a1bbaceef2d03dc3f6d38",
59
+ "language": "Python",
60
+ "lines": 104,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 36308
64
+ },
65
+ {
66
+ "path": "notebooks/Benchmarking_Experiments.ipynb",
67
+ "sha256": "0e176e0dc1dc1437a3baf343935863b46ce73e01e110ee156508480013c901ed",
68
+ "language": "Jupyter",
69
+ "lines": 6121,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 1294
73
+ }
74
+ ]
75
+ }
manifests/6a/github.com__rauschecker-sugrue-labs__dmg-longitudinal.json ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/rauschecker-sugrue-labs/dmg-longitudinal",
4
+ "url": "https://github.com/rauschecker-sugrue-labs/DMG-Longitudinal/",
5
+ "host": "github.com",
6
+ "commit": "b852988580c608a06ae6b8a5a324e4166661f9db",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "c1ebab6c6e87117fdc8f75f58adb4a617707816c02f39fb28904ab966867e8f4",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1336
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "8d95f42dfb03cd571a4a10dc35d94704f1ddcd143738c5fd5ea755b38cce971a",
23
+ "language": "Text",
24
+ "lines": 66,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10287
28
+ },
29
+ {
30
+ "path": "Scripts/fix_indep_subtraction_masks.py",
31
+ "sha256": "6146ee5317b3ab49254387ba014dc1f14332b271da6c11d4920ba88a020221ff",
32
+ "language": "Python",
33
+ "lines": 49,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 30574
37
+ },
38
+ {
39
+ "path": "Scripts/independent_model_jobsub_scripts/reregistration_time1.py",
40
+ "sha256": "1079524f4293489b034d97cff3b1e5955fe2a577a9b0aa8303730b835f117e5f",
41
+ "language": "Python",
42
+ "lines": 144,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 44702
46
+ },
47
+ {
48
+ "path": "Scripts/independent_model_jobsub_scripts/reregistration_time2.py",
49
+ "sha256": "9a59321afcbe52af5a52c57e09303c561a4a35933116552020512f7a77af00b1",
50
+ "language": "Python",
51
+ "lines": 211,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 2794
55
+ },
56
+ {
57
+ "path": "Scripts/independent_model_jobsub_scripts/run_indep_BraTS_preprep.py",
58
+ "sha256": "3188e0703dcd04d09f8a53fea8436c43f6761b42338cdc328b1a35a34717b716",
59
+ "language": "Python",
60
+ "lines": 112,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 41325
64
+ },
65
+ {
66
+ "path": "Scripts/independent_model_jobsub_scripts/run_indep_model.py",
67
+ "sha256": "090c9e3b5dfdca6c50b96e5c27ee819c70f60600cf54e8af1f25d6682501983b",
68
+ "language": "Python",
69
+ "lines": 159,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 44789
73
+ },
74
+ {
75
+ "path": "Scripts/independent_model_jobsub_scripts/seg_mask_subtraction.py",
76
+ "sha256": "516a2a00f555cd9145d8e72cd9f6d9cd7fc2be6ebad7914b1b8b0daa068ca02e",
77
+ "language": "Python",
78
+ "lines": 153,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 44063
82
+ },
83
+ {
84
+ "path": "Scripts/longitudinal_model_jobsub_scripts/run_N4BandSS.py",
85
+ "sha256": "e4b4dd9980599a75ba158f49d6217a21d77f134de7f40d45984d36c416536549",
86
+ "language": "Python",
87
+ "lines": 182,
88
+ "truncated": false,
89
+ "block": 7,
90
+ "row": 1737
91
+ },
92
+ {
93
+ "path": "Scripts/longitudinal_model_jobsub_scripts/run_longitudinal_preprep.py",
94
+ "sha256": "34b33a4d0e264a7037195cb27b48ed2c3ec6410084a1abbc88e62b5628c5b1ae",
95
+ "language": "Python",
96
+ "lines": 190,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 2156
100
+ },
101
+ {
102
+ "path": "Scripts/longitudinal_model_jobsub_scripts/run_task182_inferences.py",
103
+ "sha256": "d69cf52e149f981c255d8da6faaa7721afa72dc3c7ebe4a80bd7d88e944eff3c",
104
+ "language": "Python",
105
+ "lines": 120,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 41441
109
+ },
110
+ {
111
+ "path": "Scripts/process_session_BraTS.py",
112
+ "sha256": "5f5225ad1f9cb4c4eb6590dc3201ae26e438faad9e11e32c283ab49f5cd460c2",
113
+ "language": "Python",
114
+ "lines": 187,
115
+ "truncated": false,
116
+ "block": 7,
117
+ "row": 247
118
+ },
119
+ {
120
+ "path": "Wrappers/captk_wrapper.sh",
121
+ "sha256": "40869d1f64d35c42f5cf6bf749a227bac316d9f2139dd61bbc55ea450c4fdfeb",
122
+ "language": "Shell",
123
+ "lines": 10,
124
+ "truncated": false,
125
+ "block": 8,
126
+ "row": 6792
127
+ },
128
+ {
129
+ "path": "Wrappers/greedy_wrapper.sh",
130
+ "sha256": "e07be0aad0bb00aea4926454fff2aecf1a0b570a36b41206ea7ec399e05e61f3",
131
+ "language": "Shell",
132
+ "lines": 9,
133
+ "truncated": false,
134
+ "block": 8,
135
+ "row": 6691
136
+ },
137
+ {
138
+ "path": "Wrappers/qsiprep_1.0.0rc1_wrapperTMP.sh",
139
+ "sha256": "765fe4cb93c00512f7a13d450b7393dc3d6271aa1aadca4ba9e5f0b2c4adb8d9",
140
+ "language": "Shell",
141
+ "lines": 15,
142
+ "truncated": false,
143
+ "block": 8,
144
+ "row": 7099
145
+ }
146
+ ]
147
+ }
manifests/6a/github.com__rmarkello__abagen.json ADDED
@@ -0,0 +1,462 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/rmarkello/abagen",
4
+ "url": "https://github.com/rmarkello/abagen",
5
+ "host": "github.com",
6
+ "commit": "dc4a007e4e902e51f97251390c8d1bbf7e58c6d3",
7
+ "license": "BSD-3-Clause",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "94a2ecc416bf0287f108a3e043b8ce574eaecad8e0d389eab91101aae7d6917f",
14
+ "language": "License",
15
+ "lines": 29,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1980
19
+ },
20
+ {
21
+ "path": "README.rst",
22
+ "sha256": "5380627e85c0f29aa30e7575a4a4c7179eabce7dbd76b339f5550739d73d28ff",
23
+ "language": "Text",
24
+ "lines": 163,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10542
28
+ },
29
+ {
30
+ "path": "abagen/__init__.py",
31
+ "sha256": "6497c4789a62d7a7244cc6df97600b64d86322d742ca6e23f59e886dc42b5050",
32
+ "language": "Python",
33
+ "lines": 26,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 26277
37
+ },
38
+ {
39
+ "path": "abagen/_version.py",
40
+ "sha256": "5013a2e37aff438c2e506ee6fbc31f7bd9c47cf89c833ce102af57745635bce2",
41
+ "language": "Python",
42
+ "lines": 683,
43
+ "truncated": false,
44
+ "block": 7,
45
+ "row": 9721
46
+ },
47
+ {
48
+ "path": "abagen/allen.py",
49
+ "sha256": "16be8fbec52dab8673374d6ae4209bd69fd808b0775d6c44f1d589b2d46f3a05",
50
+ "language": "Python",
51
+ "lines": 817,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 11487
55
+ },
56
+ {
57
+ "path": "abagen/cli/run.py",
58
+ "sha256": "b6780b503f567d303b5ef43b203fcf618c1c0f7eb16bbaa8f28025a59cbb3fbf",
59
+ "language": "Python",
60
+ "lines": 417,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 9463
64
+ },
65
+ {
66
+ "path": "abagen/correct.py",
67
+ "sha256": "4a10ab8ad53051b0ad6a326acd596e84340df8f792701a8069613bb9f6092789",
68
+ "language": "Python",
69
+ "lines": 626,
70
+ "truncated": false,
71
+ "block": 7,
72
+ "row": 8858
73
+ },
74
+ {
75
+ "path": "abagen/datasets/__init__.py",
76
+ "sha256": "8482076fa2fabfde04c1a2717111d0022786ecb311372ba7e66989eb69978400",
77
+ "language": "Python",
78
+ "lines": 17,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 23729
82
+ },
83
+ {
84
+ "path": "abagen/datasets/fetchers.py",
85
+ "sha256": "16de5f234af6c9ba6206581135157ae7663ef367b92d8ee07a6accfe550ee6d6",
86
+ "language": "Python",
87
+ "lines": 546,
88
+ "truncated": false,
89
+ "block": 7,
90
+ "row": 8312
91
+ },
92
+ {
93
+ "path": "abagen/datasets/utils.py",
94
+ "sha256": "404a0296dc05b67c8ea4682747b3353e3ce75ece4e8c2d877df7c90468d19b38",
95
+ "language": "Python",
96
+ "lines": 604,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 9303
100
+ },
101
+ {
102
+ "path": "abagen/images.py",
103
+ "sha256": "134f6247bfea5d99e1f41e3af192e5506c3c34666d1cb525a07af53bd8b08938",
104
+ "language": "Python",
105
+ "lines": 586,
106
+ "truncated": false,
107
+ "block": 7,
108
+ "row": 8840
109
+ },
110
+ {
111
+ "path": "abagen/info.py",
112
+ "sha256": "59d0fa6626362cb202d67427546edaab7505146774f591ac3b55469c5fd4719a",
113
+ "language": "Python",
114
+ "lines": 164,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 44682
118
+ },
119
+ {
120
+ "path": "abagen/io.py",
121
+ "sha256": "3227383b85a3a48128c2e426ed68e84699a55255c3749093ade1a94634a9a8f3",
122
+ "language": "Python",
123
+ "lines": 430,
124
+ "truncated": false,
125
+ "block": 7,
126
+ "row": 6977
127
+ },
128
+ {
129
+ "path": "abagen/matching.py",
130
+ "sha256": "ef412f13bcb07fcd3a4310a61ae27aa8c0f0ba889897cbacafc243f3b80520d7",
131
+ "language": "Python",
132
+ "lines": 620,
133
+ "truncated": false,
134
+ "block": 7,
135
+ "row": 9516
136
+ },
137
+ {
138
+ "path": "abagen/mouse/__init__.py",
139
+ "sha256": "586c3ef45e0d4b25d2a4663d94cc75708ec3b257818929a1d7b12c039bfef693",
140
+ "language": "Python",
141
+ "lines": 13,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 23662
145
+ },
146
+ {
147
+ "path": "abagen/mouse/gene.py",
148
+ "sha256": "b6e1a7fc410884abb03456a4493b61d11f7a9f7a99418c1d01f51fe4ba056305",
149
+ "language": "Python",
150
+ "lines": 120,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 37898
154
+ },
155
+ {
156
+ "path": "abagen/mouse/io.py",
157
+ "sha256": "87e8c18ef90d4a91fa55e4bb8fde44cc54f7b4e3cf26f0b74fdc875b9786ccac",
158
+ "language": "Python",
159
+ "lines": 178,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 44644
163
+ },
164
+ {
165
+ "path": "abagen/mouse/mouse.py",
166
+ "sha256": "29afa12e595e55c91afe872434f1394d4997b8f953a779d19adb5b15c99b98d9",
167
+ "language": "Python",
168
+ "lines": 268,
169
+ "truncated": false,
170
+ "block": 7,
171
+ "row": 3243
172
+ },
173
+ {
174
+ "path": "abagen/mouse/structure.py",
175
+ "sha256": "63c5e036fe3e3e0febe59c339e6ba5b1ed52a22e0657e9f2bf068761be617d96",
176
+ "language": "Python",
177
+ "lines": 171,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 42237
181
+ },
182
+ {
183
+ "path": "abagen/mouse/utils.py",
184
+ "sha256": "a28c080be966339090515ec300444312868a10ba95a6be847cd88815d0945415",
185
+ "language": "Python",
186
+ "lines": 83,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 35106
190
+ },
191
+ {
192
+ "path": "abagen/probes_.py",
193
+ "sha256": "b3bc72c3a043e2c83fc9d282d9dac199e78faa88b1e4b66a04621e1efdb2a69c",
194
+ "language": "Python",
195
+ "lines": 763,
196
+ "truncated": false,
197
+ "block": 7,
198
+ "row": 10809
199
+ },
200
+ {
201
+ "path": "abagen/reporting.py",
202
+ "sha256": "09bbc5c6c4762f883cd575c1280c0539d5bbdcb3dad304d3e29d34d78e242bdb",
203
+ "language": "Python",
204
+ "lines": 625,
205
+ "truncated": false,
206
+ "block": 7,
207
+ "row": 10342
208
+ },
209
+ {
210
+ "path": "abagen/samples_.py",
211
+ "sha256": "6fd7471b0fa32b10d91b1da94f9a9649eed8550108dd11c6967497206dc235d4",
212
+ "language": "Python",
213
+ "lines": 491,
214
+ "truncated": false,
215
+ "block": 7,
216
+ "row": 8375
217
+ },
218
+ {
219
+ "path": "abagen/surfaces.py",
220
+ "sha256": "78f6081b839e4518c6661e5c9f7bc1a8153c38780808605b1b2f65045a963a6b",
221
+ "language": "Python",
222
+ "lines": 231,
223
+ "truncated": false,
224
+ "block": 7,
225
+ "row": 1414
226
+ },
227
+ {
228
+ "path": "abagen/tests/cli/test_run.py",
229
+ "sha256": "1d359709ace3458ca89e81e88150106afa7752968aa21bd96c440c080534a7e9",
230
+ "language": "Python",
231
+ "lines": 118,
232
+ "truncated": false,
233
+ "block": 6,
234
+ "row": 38263
235
+ },
236
+ {
237
+ "path": "abagen/tests/conftest.py",
238
+ "sha256": "a00fe126a821db34ffd03d07857515d2e15222ade1530dc250db82f6958582b2",
239
+ "language": "Python",
240
+ "lines": 46,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 26560
244
+ },
245
+ {
246
+ "path": "abagen/tests/datasets/test_fetchers.py",
247
+ "sha256": "a55940f5d6f3ce393af4125893457ca35278e42ff12f1353f14f66c7b530b61b",
248
+ "language": "Python",
249
+ "lines": 198,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 44000
253
+ },
254
+ {
255
+ "path": "abagen/tests/datasets/test_utils.py",
256
+ "sha256": "1e8a01198ac0ff5555a72d08a176dd714e555d05adaf2e2d3c2d404798ff9aaa",
257
+ "language": "Python",
258
+ "lines": 43,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 29594
262
+ },
263
+ {
264
+ "path": "abagen/tests/mouse/test_gene.py",
265
+ "sha256": "5156f232d03b926aabebc005a2b6f3df23545144b3d9256c1fe940820c16439a",
266
+ "language": "Python",
267
+ "lines": 37,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 26988
271
+ },
272
+ {
273
+ "path": "abagen/tests/mouse/test_io.py",
274
+ "sha256": "f8c136f618a73f18c1d4975bdf60e9ed74d72ecd9de74b39996db8ce5cdab09a",
275
+ "language": "Python",
276
+ "lines": 52,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 29954
280
+ },
281
+ {
282
+ "path": "abagen/tests/mouse/test_mouse.py",
283
+ "sha256": "6354c9c6bf932a5d70e45efff3df8e3493de646ead61026baf1d8b6ea3920adc",
284
+ "language": "Python",
285
+ "lines": 102,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 39825
289
+ },
290
+ {
291
+ "path": "abagen/tests/mouse/test_structure.py",
292
+ "sha256": "427ca8d80fc0c73865b36479be20347e1d390fe962c7d534865dbe1c463b5d82",
293
+ "language": "Python",
294
+ "lines": 66,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 33512
298
+ },
299
+ {
300
+ "path": "abagen/tests/test_allen.py",
301
+ "sha256": "6c6860754990821cb17dd8057cd7c1782d62f97d11a080aecc126d5a5ab2026e",
302
+ "language": "Python",
303
+ "lines": 136,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 41219
307
+ },
308
+ {
309
+ "path": "abagen/tests/test_correct.py",
310
+ "sha256": "e1306c821799f4d831bb7bbce23cf41082dc695ed9d2f5aad9b522817bb7ce01",
311
+ "language": "Python",
312
+ "lines": 257,
313
+ "truncated": false,
314
+ "block": 7,
315
+ "row": 2908
316
+ },
317
+ {
318
+ "path": "abagen/tests/test_images.py",
319
+ "sha256": "eb19787afbcae04dc6f825172b86418a3834cef7224fea2cf6893bb69ba3e639",
320
+ "language": "Python",
321
+ "lines": 266,
322
+ "truncated": false,
323
+ "block": 7,
324
+ "row": 1985
325
+ },
326
+ {
327
+ "path": "abagen/tests/test_io.py",
328
+ "sha256": "35142fd223f5e56b0cced10524a405120dad58fc4e9921c82783b1f8b3de00d5",
329
+ "language": "Python",
330
+ "lines": 128,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 38134
334
+ },
335
+ {
336
+ "path": "abagen/tests/test_matching.py",
337
+ "sha256": "7553fb3d95cc8b03884fe0c1c919e339018eb99c543f93d9dece55f3359f9633",
338
+ "language": "Python",
339
+ "lines": 183,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 44296
343
+ },
344
+ {
345
+ "path": "abagen/tests/test_probes.py",
346
+ "sha256": "8d976cfe55a47b32ff84ac01c43b34985b39cdee89deebc64d7ba320995caa74",
347
+ "language": "Python",
348
+ "lines": 276,
349
+ "truncated": false,
350
+ "block": 7,
351
+ "row": 3035
352
+ },
353
+ {
354
+ "path": "abagen/tests/test_reporting.py",
355
+ "sha256": "3064dfc839590bff65e8677a1f266b8a346176cb7634995e71fa5257f269e655",
356
+ "language": "Python",
357
+ "lines": 58,
358
+ "truncated": false,
359
+ "block": 6,
360
+ "row": 32829
361
+ },
362
+ {
363
+ "path": "abagen/tests/test_samples.py",
364
+ "sha256": "fd4aa00a32d308a363306150a55d18ecc0679dd23fb6c12950b4a1c323a8ecb6",
365
+ "language": "Python",
366
+ "lines": 322,
367
+ "truncated": false,
368
+ "block": 7,
369
+ "row": 5866
370
+ },
371
+ {
372
+ "path": "abagen/tests/test_surfaces.py",
373
+ "sha256": "6d74eb2234ff39bcc2903e4ad40ba826d9dd2ae0bbefb7a43b813f2d977a8cd4",
374
+ "language": "Python",
375
+ "lines": 60,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 31294
379
+ },
380
+ {
381
+ "path": "abagen/tests/test_transforms.py",
382
+ "sha256": "6ca265830a82a3c37c930585d7a1f11f3e913f6652a93d446ebf0fd3783d2b8a",
383
+ "language": "Python",
384
+ "lines": 56,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 31062
388
+ },
389
+ {
390
+ "path": "abagen/tests/test_utils.py",
391
+ "sha256": "b1450a355259b30d16e0d8f391c02601b2c5482978ba1c5428df996a8d37ea9b",
392
+ "language": "Python",
393
+ "lines": 88,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 34149
397
+ },
398
+ {
399
+ "path": "abagen/transforms.py",
400
+ "sha256": "cd93cf7b6e84d7e531dff0a306e90292c707a3f2df6745f0cfa855ddcf63f173",
401
+ "language": "Python",
402
+ "lines": 185,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 41509
406
+ },
407
+ {
408
+ "path": "abagen/utils.py",
409
+ "sha256": "24277d3a5a180c599d1dfc7bc20d8c0947629a1b6929d16bad9fb6435f774996",
410
+ "language": "Python",
411
+ "lines": 221,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 43363
415
+ },
416
+ {
417
+ "path": "docs/conf.py",
418
+ "sha256": "7c4e87bac6346c79b2708bcf7466e97f1068652c74631bdae9922c8cf783cec2",
419
+ "language": "Python",
420
+ "lines": 129,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 39560
424
+ },
425
+ {
426
+ "path": "setup.py",
427
+ "sha256": "1c8593f0d98d9861707b5a380f55d895a81c88df2a331a20bc3398ee8c47861d",
428
+ "language": "Python",
429
+ "lines": 14,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 22108
433
+ },
434
+ {
435
+ "path": "tools/update_changes.sh",
436
+ "sha256": "e4797db7a9f803268c650a436adfd404063e62aa0d4965ef4e8eb6ecdba325ab",
437
+ "language": "Shell",
438
+ "lines": 54,
439
+ "truncated": false,
440
+ "block": 8,
441
+ "row": 8206
442
+ },
443
+ {
444
+ "path": "tools/update_readme.py",
445
+ "sha256": "22cac10881ffb8ba1dfa6f760f30c4760bc8d629f1bb86704185d9ad4a4d816a",
446
+ "language": "Python",
447
+ "lines": 33,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 24685
451
+ },
452
+ {
453
+ "path": "versioneer.py",
454
+ "sha256": "f386e78239dd1c6ebaf4ef0853c5866786f5981944006e10578e571164c997c6",
455
+ "language": "Python",
456
+ "lines": 2277,
457
+ "truncated": false,
458
+ "block": 1,
459
+ "row": 9848
460
+ }
461
+ ]
462
+ }
manifests/6b/github.com__anneef__antools.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/anneef/antools",
4
+ "url": "https://github.com/Anneef/AnTools",
5
+ "host": "github.com",
6
+ "commit": "5eff6816b6d1eb06d8d81b44ced9a0e35ed3a1e5",
7
+ "license": "GPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",
14
+ "language": "License",
15
+ "lines": 674,
16
+ "truncated": false,
17
+ "block": 1,
18
+ "row": 2235
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "2cc7549c83b4634cb63849cbd3dc2249f30842f316c007e2259926a85d2ccdb4",
23
+ "language": "Text",
24
+ "lines": 59,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10404
28
+ }
29
+ ]
30
+ }
manifests/6b/github.com__fordlab__d2-glun2b-paper.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/fordlab/d2-glun2b-paper",
4
+ "url": "https://github.com/FordLab/D2-GluN2B-paper/tree/v1.0",
5
+ "host": "github.com",
6
+ "commit": "59e25559529e22b9de9ed527c90a1ab7e806692a",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "Arturo_SAA Matlab Analysis Codes/Full_pipeline_SSA_analysis.m",
13
+ "sha256": "892b631e39ddc79b49cb6f1e596ea8c9a561a5d317604b239549edf68afe81dc",
14
+ "language": "MATLAB",
15
+ "lines": 30,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 8304
19
+ },
20
+ {
21
+ "path": "Arturo_SAA Matlab Analysis Codes/Group_session_behav_analysis_table.m",
22
+ "sha256": "6ad00c481077d428ff29f9c36198c01918c9beb6d6f6b47a75e6fd1e019e765e",
23
+ "language": "MATLAB",
24
+ "lines": 613,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 19157
28
+ },
29
+ {
30
+ "path": "Arturo_SAA Matlab Analysis Codes/Loop_extraction_behav_data.m",
31
+ "sha256": "93f8906dc16a1021fd74d8944f231a01f038b28365c4710aa713ac414c0003b0",
32
+ "language": "MATLAB",
33
+ "lines": 86,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 12710
37
+ },
38
+ {
39
+ "path": "Arturo_SAA Matlab Analysis Codes/Loop_individual_sessions.m",
40
+ "sha256": "35f67a65792e06c40efaad720c7f9e4fc9a5850ade9c2ed4a5b97f5cec044e80",
41
+ "language": "MATLAB",
42
+ "lines": 91,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 12751
46
+ },
47
+ {
48
+ "path": "Arturo_SAA Matlab Analysis Codes/analyze_from_group_table.m",
49
+ "sha256": "b96ea48818ad2dbf0fdd2d5959c1987305253f4b543ece8e1e5f96e3dfb156c8",
50
+ "language": "MATLAB",
51
+ "lines": 144,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 16096
55
+ },
56
+ {
57
+ "path": "Arturo_SAA Matlab Analysis Codes/error_area.m",
58
+ "sha256": "22eec8179694bf63b7b2f39290d5512917eaae0944c195e3764fe96c21c963a7",
59
+ "language": "MATLAB",
60
+ "lines": 38,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 5816
64
+ },
65
+ {
66
+ "path": "Arturo_SAA Matlab Analysis Codes/getintensities_Arturo.m",
67
+ "sha256": "f248ad32195b25abc896dee9f207413f3771c7cddd1b747fbb2e8b7e9dad9f19",
68
+ "language": "MATLAB",
69
+ "lines": 55,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 7914
73
+ },
74
+ {
75
+ "path": "Arturo_SAA Matlab Analysis Codes/getrawdata100ths.m",
76
+ "sha256": "1815389c44360f625c9605a1a05a712d7f9b443b9936730da9337a5d8ffa1cae",
77
+ "language": "MATLAB",
78
+ "lines": 141,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 13814
82
+ },
83
+ {
84
+ "path": "Arturo_SAA Matlab Analysis Codes/individual_behav_session_analysis.m",
85
+ "sha256": "276aea26f460acde98f460ad885a4b08216e39bd25ed972ffcc320362de90b5e",
86
+ "language": "MATLAB",
87
+ "lines": 581,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 18968
91
+ },
92
+ {
93
+ "path": "LICENSE",
94
+ "sha256": "05aa7f50f6e4ad314e9e094782fa2372de9f0fcb45eedc17acce03a277c2de15",
95
+ "language": "License",
96
+ "lines": 21,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 1368
100
+ }
101
+ ]
102
+ }
manifests/6b/github.com__xiaoxiaozhang57__evolutionary-analysis-of-m6a-in-mammals.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/xiaoxiaozhang57/evolutionary-analysis-of-m6a-in-mammals",
4
+ "url": "https://github.com/XiaoxiaoZhang57/Evolutionary-analysis-of-m6A-in-mammals.git",
5
+ "host": "github.com",
6
+ "commit": "61acb3ae1355ce5489141c4aa1c06fc77b19564d",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "F5_to_FQ.sh",
13
+ "sha256": "247fb20e0270345a05d7cdce68022f483dddf43a6ab96b637448184fce307e4d",
14
+ "language": "Shell",
15
+ "lines": 22,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 7779
19
+ },
20
+ {
21
+ "path": "Gene_Expression_vs_Tissue_Modification_Level_PGLS.R",
22
+ "sha256": "becaabe68bcddf88623bed16eaeb99d836dbcab50541847db1cd2ec36aae4076",
23
+ "language": "R",
24
+ "lines": 175,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 3466
28
+ },
29
+ {
30
+ "path": "LICENSE",
31
+ "sha256": "271ee4bacfa40cb4967721bfb4666ae1629e2f971f8cf9756ac0a02dc9547a72",
32
+ "language": "License",
33
+ "lines": 22,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 1869
37
+ },
38
+ {
39
+ "path": "README.md",
40
+ "sha256": "401425b85736083ebeed1161191ba6eb016f76191331aa9e539a9565f095bd7c",
41
+ "language": "Text",
42
+ "lines": 145,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 10336
46
+ },
47
+ {
48
+ "path": "m6A_site_alignment.py",
49
+ "sha256": "363ce7f8cde6edcc3686f60664e680b73a675f47a04dd817cee50d1c26bca75a",
50
+ "language": "Python",
51
+ "lines": 28,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 25567
55
+ },
56
+ {
57
+ "path": "m6A_site_alignment_get_cdna_fa.py",
58
+ "sha256": "221baa2626344d689191f56f93f51cd26432cf78f637fdac28241f9217308c84",
59
+ "language": "Python",
60
+ "lines": 48,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 30794
64
+ },
65
+ {
66
+ "path": "m6A_site_alignment_get_nexget.py",
67
+ "sha256": "d9a6d28d9f3ad02b0f2cd18b4fc32215e5deb10734ed2f19fc5dbfca6847fc9d",
68
+ "language": "Python",
69
+ "lines": 86,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 36082
73
+ },
74
+ {
75
+ "path": "m6A_site_alignment_getlist.py",
76
+ "sha256": "642b1e0ccc110a89058cfc2ec8bec69259b890435569085278301d8a6be5b99a",
77
+ "language": "Python",
78
+ "lines": 44,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 30165
82
+ },
83
+ {
84
+ "path": "tissue_species_mod.R",
85
+ "sha256": "fadf8249cca172d395f76501f28514448539cc78ed48cbe74bb1d05bf35046d6",
86
+ "language": "R",
87
+ "lines": 73,
88
+ "truncated": false,
89
+ "block": 8,
90
+ "row": 2466
91
+ },
92
+ {
93
+ "path": "transcript_num_m6a.R",
94
+ "sha256": "ef0213c7ac18278d20a1f8cef210af9bec90b1df41109eec81c8c00a889c5bed",
95
+ "language": "R",
96
+ "lines": 72,
97
+ "truncated": false,
98
+ "block": 8,
99
+ "row": 2627
100
+ }
101
+ ]
102
+ }
manifests/6b/zenodo__16999306.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:16999306",
4
+ "url": "https://doi.org/10.5281/zenodo.16999306",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "1. Human/Figure_P1.m",
13
+ "sha256": "fb068e4a237340baa9638f5dd162c3572ef190fb61ddc5b505432a5d92ca0c18",
14
+ "language": "MATLAB",
15
+ "lines": 114,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 15151
19
+ },
20
+ {
21
+ "path": "1. Human/Figure_P2.m",
22
+ "sha256": "2cc1a1086a9f857a10e41a01a25b792c5495222d73890d58b0aa54eb067d1c53",
23
+ "language": "MATLAB",
24
+ "lines": 112,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 14772
28
+ },
29
+ {
30
+ "path": "2. NHP/Figure_MUA_results.m",
31
+ "sha256": "a2f853e2c841adf2152920deec36744f96412614344ad0824dca6221393a8bad",
32
+ "language": "MATLAB",
33
+ "lines": 70,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 10759
37
+ }
38
+ ]
39
+ }
manifests/6c/github.com__auevywtrsq__multi-chaotic-signal-identification.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/auevywtrsq/multi-chaotic-signal-identification",
4
+ "url": "https://github.com/auevywtrsq/Multi-Chaotic-Signal-Identification",
5
+ "host": "github.com",
6
+ "commit": "b23e510d89fab0075240b554653d7ef82e4467cb",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "993b594b96c6004ce3fed09cd27f13de92418a9bea6019bccf2cb92ff9553b2f",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1471
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "64aa5e1284488771811a82b3c346387ca59324119b457917b4dd9a2c26928ae7",
23
+ "language": "Text",
24
+ "lines": 5,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 9525
28
+ }
29
+ ]
30
+ }
manifests/6c/github.com__bluebrain__bluepyefe.json ADDED
@@ -0,0 +1,417 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/bluebrain/bluepyefe",
4
+ "url": "https://github.com/BlueBrain/BluePyEfe/tree/2.3.38",
5
+ "host": "github.com",
6
+ "commit": "11a1e0c59e2541362e22279f6c78edbff44db975",
7
+ "license": "LGPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE.txt",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": ".upload_docs.py",
13
+ "sha256": "a6b97091c6e9b4c35438f7d7b72164d6fb96e49742ca943a769dfbfb67191eaa",
14
+ "language": "Python",
15
+ "lines": 80,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 32525
19
+ },
20
+ {
21
+ "path": "LICENSE.txt",
22
+ "sha256": "f4aa672d1ed4e9f8a4afe493b8fe864842f1d6e11bba7255e33a07b18732d5b1",
23
+ "language": "License",
24
+ "lines": 24,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 1323
28
+ },
29
+ {
30
+ "path": "README.rst",
31
+ "sha256": "fddcd7b1f99cbcf26b8b8e0716589f30453feabcfd7133b88b4a19e920f47b63",
32
+ "language": "Text",
33
+ "lines": 134,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 10585
37
+ },
38
+ {
39
+ "path": "bluepyefe/__init__.py",
40
+ "sha256": "865640432d6ba21b6e923972ab2b26b8a4f5fbd89e3d906359c9cc4e1074cfa0",
41
+ "language": "Python",
42
+ "lines": 20,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 24424
46
+ },
47
+ {
48
+ "path": "bluepyefe/auto_targets.py",
49
+ "sha256": "febb1d9e79cafa116b8d8f15e5aa93cf6d597ca69c111c5be2e664178ad9e996",
50
+ "language": "Python",
51
+ "lines": 190,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 44705
55
+ },
56
+ {
57
+ "path": "bluepyefe/cell.py",
58
+ "sha256": "e4c76088a4d651dbd089822b1fb8f4be5f89ba17b05f89f45fb0f599a0b77cfd",
59
+ "language": "Python",
60
+ "lines": 305,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 3598
64
+ },
65
+ {
66
+ "path": "bluepyefe/ecode/DeHyperPol.py",
67
+ "sha256": "ab2dd6d4b2f0e02f11e1271b8236621d3b027a4cee25b980b7f5fd371215f408",
68
+ "language": "Python",
69
+ "lines": 154,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 42303
73
+ },
74
+ {
75
+ "path": "bluepyefe/ecode/HyperDePol.py",
76
+ "sha256": "d4a0187762941fc996f8981466a4ff2f5cec9d9d666d30d95734fed15ee513ff",
77
+ "language": "Python",
78
+ "lines": 156,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 42811
82
+ },
83
+ {
84
+ "path": "bluepyefe/ecode/SpikeRec.py",
85
+ "sha256": "9e86c8c39cd2eb7de380c12a58e31a755d028cb456d8e5ad350c607d83732fac",
86
+ "language": "Python",
87
+ "lines": 213,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 45424
91
+ },
92
+ {
93
+ "path": "bluepyefe/ecode/__init__.py",
94
+ "sha256": "1d7855b34d9234ae594053d848d990853661a8bf61abfc0adfd88007aed4c896",
95
+ "language": "Python",
96
+ "lines": 61,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 31849
100
+ },
101
+ {
102
+ "path": "bluepyefe/ecode/negCheops.py",
103
+ "sha256": "873c3f6851f60e3bab5be89ef6273741f35b875611a1bb67eabb93a7ce56fd91",
104
+ "language": "Python",
105
+ "lines": 162,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 45059
109
+ },
110
+ {
111
+ "path": "bluepyefe/ecode/posCheops.py",
112
+ "sha256": "741efac297a7bd57e5ba1f367d2e41e6652a6cfb56ba9c298674f06872388790",
113
+ "language": "Python",
114
+ "lines": 162,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 44888
118
+ },
119
+ {
120
+ "path": "bluepyefe/ecode/ramp.py",
121
+ "sha256": "a517e0094f8e529b3d9f78990c94571d745883abd04484a1b53986fc206aa728",
122
+ "language": "Python",
123
+ "lines": 137,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 40329
127
+ },
128
+ {
129
+ "path": "bluepyefe/ecode/sAHP.py",
130
+ "sha256": "a4aa28a810dc09693663f527384f0f81aa11b4bf8aa3635295253493f2905db1",
131
+ "language": "Python",
132
+ "lines": 267,
133
+ "truncated": false,
134
+ "block": 7,
135
+ "row": 3022
136
+ },
137
+ {
138
+ "path": "bluepyefe/ecode/sineSpec.py",
139
+ "sha256": "f1a7ad5440945fb6b1c2a77740fb2965dc95b99fd81baf4d663c8f731b4fc633",
140
+ "language": "Python",
141
+ "lines": 135,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 39553
145
+ },
146
+ {
147
+ "path": "bluepyefe/ecode/step.py",
148
+ "sha256": "5618680e12f468ec32d59ef94a2dce5cf3525d90eddcef8bbdd21ad607728eae",
149
+ "language": "Python",
150
+ "lines": 184,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 44498
154
+ },
155
+ {
156
+ "path": "bluepyefe/ecode/tools.py",
157
+ "sha256": "3f355ac067b9f7ce5a4e47a21bb8ef20b3d4eb346cba03c4063f1e2be6a03e20",
158
+ "language": "Python",
159
+ "lines": 36,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 27293
163
+ },
164
+ {
165
+ "path": "bluepyefe/extract.py",
166
+ "sha256": "eac7ca0a10987904575c10eefb427d438507f10da90e15d0a5e7b4ccab38c40a",
167
+ "language": "Python",
168
+ "lines": 1133,
169
+ "truncated": false,
170
+ "block": 7,
171
+ "row": 11344
172
+ },
173
+ {
174
+ "path": "bluepyefe/igorpy/__init__.py",
175
+ "sha256": "7e26934fe299d1572f30b3e8dbeea2d0a612d760cde7c69ece5c8c0ba0eacec9",
176
+ "language": "Python",
177
+ "lines": 136,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 38719
181
+ },
182
+ {
183
+ "path": "bluepyefe/nwbreader.py",
184
+ "sha256": "9624c8c8a8f715717d4d73218cf5a26823529a12fb929cd54ccb472126ffb28a",
185
+ "language": "Python",
186
+ "lines": 264,
187
+ "truncated": false,
188
+ "block": 7,
189
+ "row": 3254
190
+ },
191
+ {
192
+ "path": "bluepyefe/plotting.py",
193
+ "sha256": "cebab2248169cd9d02b8ab0187f271de16512acc9614e2fb5f892f0a7ce1c2f1",
194
+ "language": "Python",
195
+ "lines": 450,
196
+ "truncated": false,
197
+ "block": 7,
198
+ "row": 5654
199
+ },
200
+ {
201
+ "path": "bluepyefe/protocol.py",
202
+ "sha256": "b891d3c73818156da520b71e187545660d6adcffc1247a62d1f3fb263a810823",
203
+ "language": "Python",
204
+ "lines": 220,
205
+ "truncated": false,
206
+ "block": 7,
207
+ "row": 346
208
+ },
209
+ {
210
+ "path": "bluepyefe/reader.py",
211
+ "sha256": "afa050001b7adde6eb9e4ceff7a2dce11f2284c36a58726454374331cfb6b5e2",
212
+ "language": "Python",
213
+ "lines": 311,
214
+ "truncated": false,
215
+ "block": 7,
216
+ "row": 1484
217
+ },
218
+ {
219
+ "path": "bluepyefe/recording.py",
220
+ "sha256": "82eaa3111e5ab0a7554eee6c6757ea12bfaa8f0c9119e59a6298a6063e5a92ed",
221
+ "language": "Python",
222
+ "lines": 448,
223
+ "truncated": false,
224
+ "block": 7,
225
+ "row": 7426
226
+ },
227
+ {
228
+ "path": "bluepyefe/rheobase.py",
229
+ "sha256": "dad9f40f1aa8971ace9dd2e878827e7547148da03117abda607d539e9334d3a8",
230
+ "language": "Python",
231
+ "lines": 181,
232
+ "truncated": false,
233
+ "block": 6,
234
+ "row": 44025
235
+ },
236
+ {
237
+ "path": "bluepyefe/target.py",
238
+ "sha256": "ea8a16dd8ebadbde0bc4974bb1682539260eea216b87d19782a303324a1c986e",
239
+ "language": "Python",
240
+ "lines": 178,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 42853
244
+ },
245
+ {
246
+ "path": "bluepyefe/tools.py",
247
+ "sha256": "99e6ba7d14c73313d82fb17e392501bcecec8f9a2d64bde097ae1c0cb6ca2e06",
248
+ "language": "Python",
249
+ "lines": 154,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 39139
253
+ },
254
+ {
255
+ "path": "bluepyefe/translate_legacy_config.py",
256
+ "sha256": "272c24777ad4763dc50989955c843a88f5ce261f425ed8e2f893fb78c45e87f4",
257
+ "language": "Python",
258
+ "lines": 123,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 40815
262
+ },
263
+ {
264
+ "path": "docs/source/conf.py",
265
+ "sha256": "961290772db1b6ac941af872917d9e829d56fbe43c0c970b036f9c9a41f481cc",
266
+ "language": "Python",
267
+ "lines": 273,
268
+ "truncated": false,
269
+ "block": 7,
270
+ "row": 1291
271
+ },
272
+ {
273
+ "path": "examples/How_to_use_efel_settings.ipynb",
274
+ "sha256": "01aeae2ebecaf587c490b4fb63a63520c9b90c47ffb70ae60d7ff8378c090119",
275
+ "language": "Jupyter",
276
+ "lines": 289,
277
+ "truncated": false,
278
+ "block": 5,
279
+ "row": 17567
280
+ },
281
+ {
282
+ "path": "examples/__init__.py",
283
+ "sha256": "4d7a6ec8cbfed94ebe73e3725250c199a8129b75389b68298e6935b28ca8dea2",
284
+ "language": "Python",
285
+ "lines": 18,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 24314
289
+ },
290
+ {
291
+ "path": "examples/example_of_extraction.ipynb",
292
+ "sha256": "7c3df630ee5b027f5b4fb2d9e5c68acb560873f50ef906423c2a007db422b076",
293
+ "language": "Jupyter",
294
+ "lines": 250,
295
+ "truncated": false,
296
+ "block": 5,
297
+ "row": 17668
298
+ },
299
+ {
300
+ "path": "tests/ecode/test_apthresh.py",
301
+ "sha256": "99fb6e0fbc770adbd514dd4ce3ec0abefde043380b2c9228bafff447450a9c7a",
302
+ "language": "Python",
303
+ "lines": 142,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 40351
307
+ },
308
+ {
309
+ "path": "tests/ecode/test_sahp.py",
310
+ "sha256": "b3035e431e96166ce86b806f327a0e5c33b57b18838057e2bd5d511063363c9d",
311
+ "language": "Python",
312
+ "lines": 144,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 40388
316
+ },
317
+ {
318
+ "path": "tests/test_cell.py",
319
+ "sha256": "1d0f4b4015f36861221520acc858b1d304bf6037f3047a2411f398cf79713a4c",
320
+ "language": "Python",
321
+ "lines": 46,
322
+ "truncated": false,
323
+ "block": 6,
324
+ "row": 28368
325
+ },
326
+ {
327
+ "path": "tests/test_ecode_tools.py",
328
+ "sha256": "4e5cb12e7765dbde61500755375c972b81cef80aebfb5ead7e60b7d84968f4cd",
329
+ "language": "Python",
330
+ "lines": 31,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 24578
334
+ },
335
+ {
336
+ "path": "tests/test_efel_settings.py",
337
+ "sha256": "cb5a23c568410b25c44950dbd12f56b60d873f0717b78c968427a7693dd92b2b",
338
+ "language": "Python",
339
+ "lines": 85,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 33117
343
+ },
344
+ {
345
+ "path": "tests/test_extractor.py",
346
+ "sha256": "964a89e63e6697da9d8ac18dceb8e52c35fd697ceb72d53646a574e83a45ed05",
347
+ "language": "Python",
348
+ "lines": 228,
349
+ "truncated": false,
350
+ "block": 6,
351
+ "row": 44605
352
+ },
353
+ {
354
+ "path": "tests/test_lccr_csv_reader.py",
355
+ "sha256": "fa3649761ef9c6e10fd8fe73e722e1b377e6b7dfc50562e67253073e6fb37e57",
356
+ "language": "Python",
357
+ "lines": 77,
358
+ "truncated": false,
359
+ "block": 6,
360
+ "row": 35792
361
+ },
362
+ {
363
+ "path": "tests/test_legacy_config.py",
364
+ "sha256": "e01903dd99893ac545281f234fd7374da455e5160f24b9fe2dc8188d031b0f21",
365
+ "language": "Python",
366
+ "lines": 67,
367
+ "truncated": false,
368
+ "block": 6,
369
+ "row": 32592
370
+ },
371
+ {
372
+ "path": "tests/test_nwbreader.py",
373
+ "sha256": "6b6cf2fb63c8fa4476a8e40957dbf72473ef92fa177de6b50348a4c879090d87",
374
+ "language": "Python",
375
+ "lines": 35,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 26209
379
+ },
380
+ {
381
+ "path": "tests/test_protocol.py",
382
+ "sha256": "9de3e9f0a5bc4031b241a6f024b1f46542735d35a15876ce8cdbe561e5e2d06b",
383
+ "language": "Python",
384
+ "lines": 42,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 25571
388
+ },
389
+ {
390
+ "path": "tests/test_recording.py",
391
+ "sha256": "f2fb7fc5d35c72ab79c67a795b7b686d362f7c703ca852aee6599b16eeb756f6",
392
+ "language": "Python",
393
+ "lines": 86,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 35782
397
+ },
398
+ {
399
+ "path": "tests/test_target.py",
400
+ "sha256": "66a04bf22f4d5662e940e763a65bac6435ba6fad89d33871e37dac97f43e029f",
401
+ "language": "Python",
402
+ "lines": 63,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 30883
406
+ },
407
+ {
408
+ "path": "tests/utils.py",
409
+ "sha256": "53822a2e11844259ba99547d30fda07a635f9586479511d9e3bdcd33458a6fbc",
410
+ "language": "Python",
411
+ "lines": 43,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 31597
415
+ }
416
+ ]
417
+ }
manifests/6c/github.com__masih4__nucleianalysis.json ADDED
@@ -0,0 +1,1146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/masih4/nucleianalysis",
4
+ "url": "https://github.com/masih4/NucleiAnalysis",
5
+ "host": "github.com",
6
+ "commit": "bc9af215259fadb07d5f0ead5a4f6a15b927ab86",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "DataSetTools/utils1.py",
13
+ "sha256": "7da95416a41c6f017940bdb345f23e6b7eddba7fde0d00777b1e06318898b0d4",
14
+ "language": "Python",
15
+ "lines": 69,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 35211
19
+ },
20
+ {
21
+ "path": "Evaluate.py",
22
+ "sha256": "0c11af0ac6ef06e97bf26cb5aefef2007b784b4a139f96da778a7becc34e1ec8",
23
+ "language": "Python",
24
+ "lines": 547,
25
+ "truncated": false,
26
+ "block": 7,
27
+ "row": 9406
28
+ },
29
+ {
30
+ "path": "EvaluateAll.py",
31
+ "sha256": "01dabb488f3fda9f98852fb0a2855d4ae5c15ebcc5682f6b99507b8e027b87a7",
32
+ "language": "Python",
33
+ "lines": 449,
34
+ "truncated": false,
35
+ "block": 7,
36
+ "row": 8469
37
+ },
38
+ {
39
+ "path": "LICENSE",
40
+ "sha256": "61c1f0f282c6be2e65795c35ed06cb86178107d4a0a1ab507a16bb301b09e003",
41
+ "language": "License",
42
+ "lines": 21,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 1657
46
+ },
47
+ {
48
+ "path": "Models/CellVit/CellViT/base_ml/base_cli.py",
49
+ "sha256": "fe6c2bcafdc0b90c36db1d66f7c1b4364db14bdff4dcb010b97db51316e9fada",
50
+ "language": "Python",
51
+ "lines": 120,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 40556
55
+ },
56
+ {
57
+ "path": "Models/CellVit/CellViT/base_ml/base_early_stopping.py",
58
+ "sha256": "9f475476a79015bd50c6fab704af7dc39e31a1c27fa96930049a8379b6623640",
59
+ "language": "Python",
60
+ "lines": 83,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 35010
64
+ },
65
+ {
66
+ "path": "Models/CellVit/CellViT/base_ml/base_experiment.py",
67
+ "sha256": "cbbc6a827d4ddc3a890c84aee26b5b2fd2073799e74c406ec780d923e21fff31",
68
+ "language": "Python",
69
+ "lines": 403,
70
+ "truncated": false,
71
+ "block": 7,
72
+ "row": 5396
73
+ },
74
+ {
75
+ "path": "Models/CellVit/CellViT/base_ml/base_loss.py",
76
+ "sha256": "d5183c2cf8208231a4f687c647146ef0cd9cdebb5e4a9f1ae56602c4f60e39e7",
77
+ "language": "Python",
78
+ "lines": 1180,
79
+ "truncated": false,
80
+ "block": 7,
81
+ "row": 11893
82
+ },
83
+ {
84
+ "path": "Models/CellVit/CellViT/base_ml/base_optim.py",
85
+ "sha256": "219ccf499c16cb055150c61bfa9fa2466e09ef351544b4a4ab1c24efa9bd9892",
86
+ "language": "Python",
87
+ "lines": 36,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 23543
91
+ },
92
+ {
93
+ "path": "Models/CellVit/CellViT/base_ml/base_trainer.py",
94
+ "sha256": "cb9d350039fa205195de6b30cf106d0d40cdc6b8f8d59b3593f83fd2d30491f2",
95
+ "language": "Python",
96
+ "lines": 269,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 3236
100
+ },
101
+ {
102
+ "path": "Models/CellVit/CellViT/base_ml/base_utils.py",
103
+ "sha256": "f20fecc22ad21a79fefd58fabdbbf8ebb47a6e82ebd4cdb862f8fa372cf9e588",
104
+ "language": "Python",
105
+ "lines": 136,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 38378
109
+ },
110
+ {
111
+ "path": "Models/CellVit/CellViT/base_ml/base_validator.py",
112
+ "sha256": "10ca3d96b5d3d0b3e868294717089f50b1ef844b0c6fa5d9f96c4bab543af1f2",
113
+ "language": "Python",
114
+ "lines": 18,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 22373
118
+ },
119
+ {
120
+ "path": "Models/CellVit/CellViT/cell_segmentation/__init__.py",
121
+ "sha256": "c05edbe18da225aed1d227b06df54ad5a86f8a6c2d6a68316c44191023299357",
122
+ "language": "Python",
123
+ "lines": 6,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 21226
127
+ },
128
+ {
129
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/base_cell.py",
130
+ "sha256": "ae22ea65f77e3799d207db0bde796570123f06fedf22f7506c0f3dc44b0382af",
131
+ "language": "Python",
132
+ "lines": 85,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 35201
136
+ },
137
+ {
138
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/cell_graph_datamodel.py",
139
+ "sha256": "be07e3421c94c16e42091d279a45df7fd739e9c768eb9cc1a0ce093f12acaee8",
140
+ "language": "Python",
141
+ "lines": 26,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 23143
145
+ },
146
+ {
147
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/conic.py",
148
+ "sha256": "15c6496ed43cba4582a2b087ec6ee47b41896d74bf766c7c9b6eb62a8771fa1d",
149
+ "language": "Python",
150
+ "lines": 243,
151
+ "truncated": false,
152
+ "block": 7,
153
+ "row": 2832
154
+ },
155
+ {
156
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/consep.py",
157
+ "sha256": "d717e7c729962e607fc66401f211a0b193f587e3e9ac644cb4617fb52d9c3a8f",
158
+ "language": "Python",
159
+ "lines": 118,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 38481
163
+ },
164
+ {
165
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/dataset_coordinator.py",
166
+ "sha256": "a6d0129cb6fc14d7924b4af61710de51bc8cc458e8beef06e030be3c44d28ff0",
167
+ "language": "Python",
168
+ "lines": 73,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 34521
172
+ },
173
+ {
174
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/monuseg.py",
175
+ "sha256": "923a382e62e6a2e274e425fd68bcb13f8792b7249cd6e5012d94cdc7e46a1ee3",
176
+ "language": "Python",
177
+ "lines": 128,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 39780
181
+ },
182
+ {
183
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/pannuke.py",
184
+ "sha256": "a86fc788d978d3ce79e27137a54f1a3eb83aecce6208e401e4f162d9734bcbf6",
185
+ "language": "Python",
186
+ "lines": 549,
187
+ "truncated": false,
188
+ "block": 7,
189
+ "row": 9061
190
+ },
191
+ {
192
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/prepare_monuseg.py",
193
+ "sha256": "1e9a821cdb1208fef7359938d973814b0680b603106827d438ff35546c11fdb8",
194
+ "language": "Python",
195
+ "lines": 115,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 39113
199
+ },
200
+ {
201
+ "path": "Models/CellVit/CellViT/cell_segmentation/datasets/prepare_pannuke.py",
202
+ "sha256": "38bcaab14654d091c9954a297665e230dfb8c339d88425e1c49e80d953aeedb0",
203
+ "language": "Python",
204
+ "lines": 95,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 36508
208
+ },
209
+ {
210
+ "path": "Models/CellVit/CellViT/cell_segmentation/experiments/__init__.py",
211
+ "sha256": "c95e1ea2d3537da95e1d985351d336fdef1471734ba81a16e4071d073f2e0d88",
212
+ "language": "Python",
213
+ "lines": 6,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 21189
217
+ },
218
+ {
219
+ "path": "Models/CellVit/CellViT/cell_segmentation/experiments/experiment_cellvit_conic.py",
220
+ "sha256": "f4ec7e7d8c01d1cd8af17e07e15bc5b0be5c6a08ba0423729c00c4bb082aa7fb",
221
+ "language": "Python",
222
+ "lines": 817,
223
+ "truncated": false,
224
+ "block": 7,
225
+ "row": 11161
226
+ },
227
+ {
228
+ "path": "Models/CellVit/CellViT/cell_segmentation/experiments/experiment_cellvit_pannuke.py",
229
+ "sha256": "c3d0cfe455cf4b1a9ea5122a2d49b42bdd82984c67f7252c38eb5f7c753d4b65",
230
+ "language": "Python",
231
+ "lines": 848,
232
+ "truncated": false,
233
+ "block": 7,
234
+ "row": 11309
235
+ },
236
+ {
237
+ "path": "Models/CellVit/CellViT/cell_segmentation/experiments/experiment_cpp_net_pannuke.py",
238
+ "sha256": "803b6d5db684cb61cbd0a4a5d0656349eb49eff790b61afc2312f71bcbac9246",
239
+ "language": "Python",
240
+ "lines": 296,
241
+ "truncated": false,
242
+ "block": 7,
243
+ "row": 5060
244
+ },
245
+ {
246
+ "path": "Models/CellVit/CellViT/cell_segmentation/experiments/experiment_stardist_pannuke.py",
247
+ "sha256": "f714d3360cd5bff7aba430a0005bd6cc854e3be214303221d0ffa16b4d5cacde",
248
+ "language": "Python",
249
+ "lines": 392,
250
+ "truncated": false,
251
+ "block": 7,
252
+ "row": 7462
253
+ },
254
+ {
255
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/__init__.py",
256
+ "sha256": "351b4584866fda3ca465a0506f8eb937eb595289d238b6ff49b793223166ff11",
257
+ "language": "Python",
258
+ "lines": 6,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 21181
262
+ },
263
+ {
264
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/cell_detection.py",
265
+ "sha256": "dbd3d0a000debe69606718592774f7f3cd72e0551e944580e3ed7e4cfaf163d2",
266
+ "language": "Python",
267
+ "lines": 1118,
268
+ "truncated": false,
269
+ "block": 8,
270
+ "row": 24
271
+ },
272
+ {
273
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/cell_detection_256.py",
274
+ "sha256": "8bae12ed731ef6ad7a72432f4ae9bd4cccf67b49abf6c6f531df436ffa17bd63",
275
+ "language": "Python",
276
+ "lines": 1111,
277
+ "truncated": false,
278
+ "block": 8,
279
+ "row": 5
280
+ },
281
+ {
282
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/cell_detection_mp.py",
283
+ "sha256": "9d06d6f7bd39e9474455976b1ff643d2377639cb83854e5a5d386a371dae1f4c",
284
+ "language": "Python",
285
+ "lines": 1527,
286
+ "truncated": false,
287
+ "block": 8,
288
+ "row": 618
289
+ },
290
+ {
291
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/inference_cellvit_experiment_monuseg.py",
292
+ "sha256": "51784adf741b82f4fa4308866351d3dd53f599038aeb31c9d0f745b5b1f32ac1",
293
+ "language": "Python",
294
+ "lines": 1049,
295
+ "truncated": false,
296
+ "block": 7,
297
+ "row": 11735
298
+ },
299
+ {
300
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/inference_cellvit_experiment_pannuke.py",
301
+ "sha256": "bc3118721217b7400eef9adbdb473476dc705dd2334b7695a8c08b90ee6d617a",
302
+ "language": "Python",
303
+ "lines": 1266,
304
+ "truncated": false,
305
+ "block": 8,
306
+ "row": 335
307
+ },
308
+ {
309
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/inference_cpp_net_experiment_pannuke.py",
310
+ "sha256": "746a651d218ee740a1a32949ba7100ba82bd741334d2ee452f3dd1be627b56b9",
311
+ "language": "Python",
312
+ "lines": 191,
313
+ "truncated": false,
314
+ "block": 7,
315
+ "row": 818
316
+ },
317
+ {
318
+ "path": "Models/CellVit/CellViT/cell_segmentation/inference/inference_stardist_experiment_pannuke.py",
319
+ "sha256": "02828be390b93df48c4eb974af448d6c6589477d249063014554230904e9516a",
320
+ "language": "Python",
321
+ "lines": 1001,
322
+ "truncated": false,
323
+ "block": 7,
324
+ "row": 11846
325
+ },
326
+ {
327
+ "path": "Models/CellVit/CellViT/cell_segmentation/run_cellvit.py",
328
+ "sha256": "003e56699e88245cb084eb83f96101e3660332bb26ac615b8c3bd6aaef4d6669",
329
+ "language": "Python",
330
+ "lines": 128,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 42880
334
+ },
335
+ {
336
+ "path": "Models/CellVit/CellViT/cell_segmentation/run_cellvit_all.py",
337
+ "sha256": "a473c08e1e8bed2d84cb542dd04269b36287b90c06e7bbe0185383418339f51d",
338
+ "language": "Python",
339
+ "lines": 175,
340
+ "truncated": false,
341
+ "block": 7,
342
+ "row": 807
343
+ },
344
+ {
345
+ "path": "Models/CellVit/CellViT/cell_segmentation/run_cellvit_folds.py",
346
+ "sha256": "f5962f01071d97dd1efb62350a4c5f6b94efef8433a58a8d3c6e494c3515be93",
347
+ "language": "Python",
348
+ "lines": 264,
349
+ "truncated": false,
350
+ "block": 7,
351
+ "row": 3392
352
+ },
353
+ {
354
+ "path": "Models/CellVit/CellViT/cell_segmentation/run_cellvit_pannuke.py",
355
+ "sha256": "2d3e5f7411ade25e04ee2dc39154606356ac250ee0fc18aa29df68bfd20149f2",
356
+ "language": "Python",
357
+ "lines": 129,
358
+ "truncated": false,
359
+ "block": 6,
360
+ "row": 42955
361
+ },
362
+ {
363
+ "path": "Models/CellVit/CellViT/cell_segmentation/run_cpp_net.py",
364
+ "sha256": "96a7fe1158bcda8ba5de0104bd9ff9bf7224daca70666789eb9e4f176cef35b3",
365
+ "language": "Python",
366
+ "lines": 95,
367
+ "truncated": false,
368
+ "block": 6,
369
+ "row": 37109
370
+ },
371
+ {
372
+ "path": "Models/CellVit/CellViT/cell_segmentation/run_stardist.py",
373
+ "sha256": "2f8eed1fd33246d5be1bcdbf52aca5edca5bce9266ccbad4ffc992263cbeb0cc",
374
+ "language": "Python",
375
+ "lines": 95,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 37214
379
+ },
380
+ {
381
+ "path": "Models/CellVit/CellViT/cell_segmentation/run_vit_allData.py",
382
+ "sha256": "c997669d306728853f9572d7d2b0f0a2d99219a1897ce2cc8057296eb22e844c",
383
+ "language": "Python",
384
+ "lines": 124,
385
+ "truncated": false,
386
+ "block": 6,
387
+ "row": 42411
388
+ },
389
+ {
390
+ "path": "Models/CellVit/CellViT/cell_segmentation/trainer/__init__.py",
391
+ "sha256": "8bf1a69e89def14ed41f151734ff4d94cee42c6e9077e8d553e5f03834a6ea1b",
392
+ "language": "Python",
393
+ "lines": 6,
394
+ "truncated": false,
395
+ "block": 6,
396
+ "row": 21091
397
+ },
398
+ {
399
+ "path": "Models/CellVit/CellViT/cell_segmentation/trainer/trainer_cellvit.py",
400
+ "sha256": "aa19e620a3ef097f56156a93219bb005bfead9a559c78c92c4422750edd9ca35",
401
+ "language": "Python",
402
+ "lines": 1056,
403
+ "truncated": false,
404
+ "block": 7,
405
+ "row": 11821
406
+ },
407
+ {
408
+ "path": "Models/CellVit/CellViT/cell_segmentation/trainer/trainer_cpp_net.py",
409
+ "sha256": "679cb491533c0edfe34ecef86a596276918d703637468dd5e83eb8dd2e3c19fd",
410
+ "language": "Python",
411
+ "lines": 213,
412
+ "truncated": false,
413
+ "block": 7,
414
+ "row": 2340
415
+ },
416
+ {
417
+ "path": "Models/CellVit/CellViT/cell_segmentation/trainer/trainer_stardist.py",
418
+ "sha256": "f067ff5c9d5dca9414b095f5a9572e158fdcf4cd333776b53d584cbc587b565d",
419
+ "language": "Python",
420
+ "lines": 628,
421
+ "truncated": false,
422
+ "block": 7,
423
+ "row": 9863
424
+ },
425
+ {
426
+ "path": "Models/CellVit/CellViT/cell_segmentation/utils/__init__.py",
427
+ "sha256": "b8806f17a6aab5685b1fdb775c64d17cdd0037e3cec70ba4ec56321bf0f5d063",
428
+ "language": "Python",
429
+ "lines": 6,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 20963
433
+ },
434
+ {
435
+ "path": "Models/CellVit/CellViT/cell_segmentation/utils/metrics.py",
436
+ "sha256": "b0ba9bc790a1d798d58fcabf897f2178c23987a82b12de305794c9928e7c0bc6",
437
+ "language": "Python",
438
+ "lines": 270,
439
+ "truncated": false,
440
+ "block": 7,
441
+ "row": 2081
442
+ },
443
+ {
444
+ "path": "Models/CellVit/CellViT/cell_segmentation/utils/post_proc_cellvit.py",
445
+ "sha256": "1157fb86eb841bfb3da1549f50f1cf855d5e8c663c973338fe3138e1cdd1eff5",
446
+ "language": "Python",
447
+ "lines": 328,
448
+ "truncated": false,
449
+ "block": 7,
450
+ "row": 5432
451
+ },
452
+ {
453
+ "path": "Models/CellVit/CellViT/cell_segmentation/utils/post_proc_stardist.py",
454
+ "sha256": "d902c6846cacb71b4436e210f4fd3f2ffb68073971a8e3bd4def19ec792e1dbf",
455
+ "language": "Python",
456
+ "lines": 123,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 42474
460
+ },
461
+ {
462
+ "path": "Models/CellVit/CellViT/cell_segmentation/utils/template_geojson.py",
463
+ "sha256": "2ca19fb09c95b29ea9573d9eccb405b86464e99044215b4e253c228be1c77cc6",
464
+ "language": "Python",
465
+ "lines": 52,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 26931
469
+ },
470
+ {
471
+ "path": "Models/CellVit/CellViT/cell_segmentation/utils/tools.py",
472
+ "sha256": "3dae927b0a3a56e63e6c34e5c9956866bd31e77735ba7613085740940d01ca37",
473
+ "language": "Python",
474
+ "lines": 400,
475
+ "truncated": false,
476
+ "block": 7,
477
+ "row": 4692
478
+ },
479
+ {
480
+ "path": "Models/CellVit/CellViT/configs/python/config.py",
481
+ "sha256": "e11a7cef72f28e12698eb3594b8eccf39b0c773e069a8e28e656ec28aaad55e0",
482
+ "language": "Python",
483
+ "lines": 57,
484
+ "truncated": false,
485
+ "block": 6,
486
+ "row": 27835
487
+ },
488
+ {
489
+ "path": "Models/CellVit/CellViT/datamodel/__init__.py",
490
+ "sha256": "36d97b9ae45e39ba82af3c9264bc006295b1c74886d2412291e21917dbd1524d",
491
+ "language": "Python",
492
+ "lines": 6,
493
+ "truncated": false,
494
+ "block": 6,
495
+ "row": 20998
496
+ },
497
+ {
498
+ "path": "Models/CellVit/CellViT/datamodel/graph_datamodel.py",
499
+ "sha256": "e6828b0cf1a28dacadaee601063d8bf85b2ef5469a40292bb1eb025dd1c49273",
500
+ "language": "Python",
501
+ "lines": 29,
502
+ "truncated": false,
503
+ "block": 6,
504
+ "row": 24963
505
+ },
506
+ {
507
+ "path": "Models/CellVit/CellViT/datamodel/wsi_datamodel.py",
508
+ "sha256": "92f3d4d562e123b030d2549a157ebe54183c1e807ba2bd0c4921c7abf60f8c0b",
509
+ "language": "Python",
510
+ "lines": 193,
511
+ "truncated": false,
512
+ "block": 6,
513
+ "row": 44610
514
+ },
515
+ {
516
+ "path": "Models/CellVit/CellViT/models/__init__.py",
517
+ "sha256": "8e758d9dd09aa2f31f4e17776eca8124b9fb51972970a4ed74f177545deb56c9",
518
+ "language": "Python",
519
+ "lines": 6,
520
+ "truncated": false,
521
+ "block": 6,
522
+ "row": 21165
523
+ },
524
+ {
525
+ "path": "Models/CellVit/CellViT/models/encoders/VIT/SAM/image_encoder.py",
526
+ "sha256": "2744224b3f89a0e694dd9b7c1aa4aea2dd9055cee22f07ef2e5f51f13abbef94",
527
+ "language": "Python",
528
+ "lines": 426,
529
+ "truncated": false,
530
+ "block": 7,
531
+ "row": 6461
532
+ },
533
+ {
534
+ "path": "Models/CellVit/CellViT/models/encoders/VIT/SAM/utils.py",
535
+ "sha256": "c7155e35e6d3c2c5570027ecd1df4ce8326bfc14213dc8532f54880f1ec277a8",
536
+ "language": "Python",
537
+ "lines": 50,
538
+ "truncated": false,
539
+ "block": 6,
540
+ "row": 30346
541
+ },
542
+ {
543
+ "path": "Models/CellVit/CellViT/models/encoders/VIT/vits_histo.py",
544
+ "sha256": "8f51c1ede8c17144370bc21c6d0051072c1e8198a829476f194c6574bed30056",
545
+ "language": "Python",
546
+ "lines": 643,
547
+ "truncated": false,
548
+ "block": 7,
549
+ "row": 9311
550
+ },
551
+ {
552
+ "path": "Models/CellVit/CellViT/models/encoders/__init__.py",
553
+ "sha256": "e58636a092855d24698dd44b4397a4421ad4bd5cbb78f8f688edf40469118618",
554
+ "language": "Python",
555
+ "lines": 5,
556
+ "truncated": false,
557
+ "block": 6,
558
+ "row": 20770
559
+ },
560
+ {
561
+ "path": "Models/CellVit/CellViT/models/segmentation/cell_segmentation/cellvit.py",
562
+ "sha256": "ee264f2782afc5f5adb2508a4a1b5b6bf8bfafb81a14291a3a35548b8b6d6e37",
563
+ "language": "Python",
564
+ "lines": 759,
565
+ "truncated": false,
566
+ "block": 7,
567
+ "row": 10766
568
+ },
569
+ {
570
+ "path": "Models/CellVit/CellViT/models/segmentation/cell_segmentation/cellvit_cpp_net.py",
571
+ "sha256": "e4aa8389f4063346980c6228b185e2a1316ecabf21b204b601b090fd03d83736",
572
+ "language": "Python",
573
+ "lines": 679,
574
+ "truncated": false,
575
+ "block": 7,
576
+ "row": 10045
577
+ },
578
+ {
579
+ "path": "Models/CellVit/CellViT/models/segmentation/cell_segmentation/cellvit_shared.py",
580
+ "sha256": "e4b0a38a2bd17120fb50f2135115173f54235ad9f49d24471f7d0d00cd7c8810",
581
+ "language": "Python",
582
+ "lines": 557,
583
+ "truncated": false,
584
+ "block": 7,
585
+ "row": 8988
586
+ },
587
+ {
588
+ "path": "Models/CellVit/CellViT/models/segmentation/cell_segmentation/cellvit_stardist.py",
589
+ "sha256": "a47ab9834f5dc50fb1b134687a17a06908de76a67f2519430f67426f236225b2",
590
+ "language": "Python",
591
+ "lines": 481,
592
+ "truncated": false,
593
+ "block": 7,
594
+ "row": 8549
595
+ },
596
+ {
597
+ "path": "Models/CellVit/CellViT/models/segmentation/cell_segmentation/cellvit_stardist_shared.py",
598
+ "sha256": "3b3ff2ef98bd39191a91d3e0e924667f2bfffdac0bb4b52b4283fb7bfafefc86",
599
+ "language": "Python",
600
+ "lines": 562,
601
+ "truncated": false,
602
+ "block": 7,
603
+ "row": 9096
604
+ },
605
+ {
606
+ "path": "Models/CellVit/CellViT/models/segmentation/cell_segmentation/cpp_net_stardist_rn50.py",
607
+ "sha256": "1a26f17750247e366328fe94b792c9d72024dfce46bfb58b8968bb25ed9b453a",
608
+ "language": "Python",
609
+ "lines": 728,
610
+ "truncated": false,
611
+ "block": 7,
612
+ "row": 10014
613
+ },
614
+ {
615
+ "path": "Models/CellVit/CellViT/models/segmentation/cell_segmentation/utils.py",
616
+ "sha256": "17c4191fa670dead462a16916dcb73e24b75eba14cd267fb4a343bb62bd8539f",
617
+ "language": "Python",
618
+ "lines": 233,
619
+ "truncated": false,
620
+ "block": 7,
621
+ "row": 874
622
+ },
623
+ {
624
+ "path": "Models/CellVit/CellViT/models/utils/attention.py",
625
+ "sha256": "0f8efea47216cdd1ed1e6af07fa73a6ddb1a82faa1977c3539873e610be201b9",
626
+ "language": "Python",
627
+ "lines": 149,
628
+ "truncated": false,
629
+ "block": 6,
630
+ "row": 42242
631
+ },
632
+ {
633
+ "path": "Models/CellVit/CellViT/models/utils/dense.py",
634
+ "sha256": "b41160766853554f73657f0af300b65cd5096c7a49e9cbe455adc70670ec7a85",
635
+ "language": "Python",
636
+ "lines": 158,
637
+ "truncated": false,
638
+ "block": 6,
639
+ "row": 42271
640
+ },
641
+ {
642
+ "path": "Models/CellVit/CellViT/models/utils/residual.py",
643
+ "sha256": "c7905184cf61c769947957176920f0949c97758375e40b8dd3fc9db982997de5",
644
+ "language": "Python",
645
+ "lines": 145,
646
+ "truncated": false,
647
+ "block": 6,
648
+ "row": 41470
649
+ },
650
+ {
651
+ "path": "Models/CellVit/CellViT/models/utils/tf_utils.py",
652
+ "sha256": "39e074bf8d48151ff4bb48778704135d5bcd39687ec678bc091957816d4f9c63",
653
+ "language": "Python",
654
+ "lines": 34,
655
+ "truncated": false,
656
+ "block": 6,
657
+ "row": 25806
658
+ },
659
+ {
660
+ "path": "Models/CellVit/CellViT/models/utils/tools.py",
661
+ "sha256": "ffb49cfa668c3f63f7eb5027975f7f1f23d1372cf2f1d7e9f944155b0e616558",
662
+ "language": "Python",
663
+ "lines": 35,
664
+ "truncated": false,
665
+ "block": 6,
666
+ "row": 25131
667
+ },
668
+ {
669
+ "path": "Models/CellVit/CellViT/preprocessing/encoding/datasets/__init__.py",
670
+ "sha256": "e58636a092855d24698dd44b4397a4421ad4bd5cbb78f8f688edf40469118618",
671
+ "language": "Python",
672
+ "lines": 5,
673
+ "truncated": false,
674
+ "block": 6,
675
+ "row": 20770
676
+ },
677
+ {
678
+ "path": "Models/CellVit/CellViT/preprocessing/encoding/datasets/patched_wsi_inference.py",
679
+ "sha256": "4b44df06e09d3f26e7c826d3570a1284b2783e6a99a6014f2c5f033ec2e26089",
680
+ "language": "Python",
681
+ "lines": 87,
682
+ "truncated": false,
683
+ "block": 6,
684
+ "row": 35627
685
+ },
686
+ {
687
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/__init__.py",
688
+ "sha256": "fa2be97f63a5b7fabbf0db7effe7605288c569f8693b5d3761ef468e7eefa28b",
689
+ "language": "Python",
690
+ "lines": 5,
691
+ "truncated": false,
692
+ "block": 6,
693
+ "row": 20784
694
+ },
695
+ {
696
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/main_extraction.py",
697
+ "sha256": "1a62f14c286cf035a644af5bb7f0229d76344e25f9ccd5f9cdc39d044a428b4d",
698
+ "language": "Python",
699
+ "lines": 36,
700
+ "truncated": false,
701
+ "block": 6,
702
+ "row": 26201
703
+ },
704
+ {
705
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/scripts/macenko.py",
706
+ "sha256": "c1130f8a51433d7f94e4a4d598d5971b598ac75dde61801535899b5f11a00d98",
707
+ "language": "Python",
708
+ "lines": 30,
709
+ "truncated": false,
710
+ "block": 6,
711
+ "row": 25485
712
+ },
713
+ {
714
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/cli.py",
715
+ "sha256": "0edd0710a015df892489a40c4d6d051b21fa04d44ce987dba31e23bbd6dce4f4",
716
+ "language": "Python",
717
+ "lines": 855,
718
+ "truncated": false,
719
+ "block": 7,
720
+ "row": 11330
721
+ },
722
+ {
723
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/cucim_deepzoom.py",
724
+ "sha256": "7a6af6548a21510b5e2dc10d53bd8fdcb74ba8932e0ce38630346c330129cc25",
725
+ "language": "Python",
726
+ "lines": 78,
727
+ "truncated": false,
728
+ "block": 6,
729
+ "row": 34904
730
+ },
731
+ {
732
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/patch_extraction.py",
733
+ "sha256": "21e40eb34cd4a41c7254063ef36611eb2b645dd13686172d14b0fa41fd2befda",
734
+ "language": "Python",
735
+ "lines": 1127,
736
+ "truncated": false,
737
+ "block": 8,
738
+ "row": 158
739
+ },
740
+ {
741
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/process_batch.py",
742
+ "sha256": "9862f00b8a3a86af073db0315e38398710372399d09ecdaf95ad1db051b3ba7a",
743
+ "language": "Python",
744
+ "lines": 217,
745
+ "truncated": false,
746
+ "block": 7,
747
+ "row": 2553
748
+ },
749
+ {
750
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/storage.py",
751
+ "sha256": "8281dd17de7ee9e7f68193886f43eff98374f1512a2c723c2e489d33dcb543f5",
752
+ "language": "Python",
753
+ "lines": 214,
754
+ "truncated": false,
755
+ "block": 7,
756
+ "row": 2122
757
+ },
758
+ {
759
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/utils/exceptions.py",
760
+ "sha256": "9997131703bc198b2c79e7d32c09f79a8a9f102c4cf65025e9f6220dbe5488c2",
761
+ "language": "Python",
762
+ "lines": 30,
763
+ "truncated": false,
764
+ "block": 6,
765
+ "row": 23389
766
+ },
767
+ {
768
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/utils/masking.py",
769
+ "sha256": "7a14d25fd3b48ecd34ee0e42c0df5cfbc2dbfe408c05124309cebf5505cdf6dd",
770
+ "language": "Python",
771
+ "lines": 297,
772
+ "truncated": false,
773
+ "block": 7,
774
+ "row": 3477
775
+ },
776
+ {
777
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/utils/patch_dataset.py",
778
+ "sha256": "cb264db9b2d3de8c697305c34f95be89928452cdb3b71c2acd3a7e5176d71db0",
779
+ "language": "Python",
780
+ "lines": 40,
781
+ "truncated": false,
782
+ "block": 6,
783
+ "row": 26571
784
+ },
785
+ {
786
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/utils/patch_util.py",
787
+ "sha256": "4a30e39f04567e2ea96d2c847cd47137efaad3efdca80c0cb90c4451df686d40",
788
+ "language": "Python",
789
+ "lines": 1138,
790
+ "truncated": false,
791
+ "block": 8,
792
+ "row": 165
793
+ },
794
+ {
795
+ "path": "Models/CellVit/CellViT/preprocessing/patch_extraction/src/utils/plotting.py",
796
+ "sha256": "6bbacf0b13c8637668d534f9c0e7072bcf1ee9a99e1b53d9b6b63f79d87018ae",
797
+ "language": "Python",
798
+ "lines": 263,
799
+ "truncated": false,
800
+ "block": 7,
801
+ "row": 3602
802
+ },
803
+ {
804
+ "path": "Models/CellVit/CellViT/utils/__init__.py",
805
+ "sha256": "fa2be97f63a5b7fabbf0db7effe7605288c569f8693b5d3761ef468e7eefa28b",
806
+ "language": "Python",
807
+ "lines": 5,
808
+ "truncated": false,
809
+ "block": 6,
810
+ "row": 20784
811
+ },
812
+ {
813
+ "path": "Models/CellVit/CellViT/utils/file_handling.py",
814
+ "sha256": "ea2d195e3158fdad407e95f3debcdc5c7bc68e9eac3861bef0fbfc55dd44de66",
815
+ "language": "Python",
816
+ "lines": 21,
817
+ "truncated": false,
818
+ "block": 6,
819
+ "row": 23487
820
+ },
821
+ {
822
+ "path": "Models/CellVit/CellViT/utils/logger.py",
823
+ "sha256": "64cae09da8cb84b490ac809ce2685c520a5980dd747b198e5420ea5b364ec111",
824
+ "language": "Python",
825
+ "lines": 103,
826
+ "truncated": false,
827
+ "block": 6,
828
+ "row": 39447
829
+ },
830
+ {
831
+ "path": "Models/CellVit/CellViT/utils/tools.py",
832
+ "sha256": "fd581fb7332b117a9085a91ab2b19f2c5bd018bab257c99ae9fc39e4917ad2b1",
833
+ "language": "Python",
834
+ "lines": 237,
835
+ "truncated": false,
836
+ "block": 7,
837
+ "row": 68
838
+ },
839
+ {
840
+ "path": "Models/HoverNext/hover_next_train/convert_pannuke_to_conic.py",
841
+ "sha256": "f300ef8853315a1246db5984a218be7385787325772509e284ceba337b7f1223",
842
+ "language": "Python",
843
+ "lines": 36,
844
+ "truncated": false,
845
+ "block": 6,
846
+ "row": 26816
847
+ },
848
+ {
849
+ "path": "Models/HoverNext/hover_next_train/evaluate.py",
850
+ "sha256": "619c9d95110f019a1c1a625c172c42cb9fd551175d1ced8b08e4768a58b51837",
851
+ "language": "Python",
852
+ "lines": 350,
853
+ "truncated": false,
854
+ "block": 7,
855
+ "row": 4286
856
+ },
857
+ {
858
+ "path": "Models/HoverNext/hover_next_train/holdout_eval.py",
859
+ "sha256": "9112797812858664babbafc0aa6ada56fd656a8e729536da8e8bfbff079ab08c",
860
+ "language": "Python",
861
+ "lines": 108,
862
+ "truncated": false,
863
+ "block": 6,
864
+ "row": 40610
865
+ },
866
+ {
867
+ "path": "Models/HoverNext/hover_next_train/hp_search.py",
868
+ "sha256": "f1f3492972ea19f38145265711fce9104140e787abd22a36e1d148ba2b6b84ed",
869
+ "language": "Python",
870
+ "lines": 193,
871
+ "truncated": false,
872
+ "block": 6,
873
+ "row": 44959
874
+ },
875
+ {
876
+ "path": "Models/HoverNext/hover_next_train/pannuke_metrics_master/variant.py",
877
+ "sha256": "5b8c6a91a0c8f7c1b0f86385419df0f025a979420478742f96e5dcdc005c0cc5",
878
+ "language": "Python",
879
+ "lines": 132,
880
+ "truncated": false,
881
+ "block": 6,
882
+ "row": 40768
883
+ },
884
+ {
885
+ "path": "Models/HoverNext/hover_next_train/src/color_conversion.py",
886
+ "sha256": "c2ad1e49adbbd1b50865958458a232a046315b6611fd615cec5dbe7249795364",
887
+ "language": "Python",
888
+ "lines": 118,
889
+ "truncated": false,
890
+ "block": 6,
891
+ "row": 37080
892
+ },
893
+ {
894
+ "path": "Models/HoverNext/hover_next_train/src/constants.py",
895
+ "sha256": "1e5bcc89dc7360f68fc8a10846291f37679217c0193e4ea14884a5d9a5b5205b",
896
+ "language": "Python",
897
+ "lines": 51,
898
+ "truncated": false,
899
+ "block": 6,
900
+ "row": 25883
901
+ },
902
+ {
903
+ "path": "Models/HoverNext/hover_next_train/src/data_utils.py",
904
+ "sha256": "120d0bd7d254690e32a6ca2b7ba14e857bbc932be9696c187a8177eb5ddf07ae",
905
+ "language": "Python",
906
+ "lines": 396,
907
+ "truncated": false,
908
+ "block": 7,
909
+ "row": 4647
910
+ },
911
+ {
912
+ "path": "Models/HoverNext/hover_next_train/src/focal_loss.py",
913
+ "sha256": "cdc323b4b434e99a626b3e12066067e2cc3da4e1b43ea77f074266e6acfd6c40",
914
+ "language": "Python",
915
+ "lines": 234,
916
+ "truncated": false,
917
+ "block": 7,
918
+ "row": 351
919
+ },
920
+ {
921
+ "path": "Models/HoverNext/hover_next_train/src/inference_utils.py",
922
+ "sha256": "6971728a407fde75328f714e5924b8f82f79a8ab7dde72c36191a014b4736199",
923
+ "language": "Python",
924
+ "lines": 67,
925
+ "truncated": false,
926
+ "block": 6,
927
+ "row": 34417
928
+ },
929
+ {
930
+ "path": "Models/HoverNext/hover_next_train/src/metrics.py",
931
+ "sha256": "06e1f680c5562abfff329059c853b125e68dc0de8f560f5c8d38a1aa5c3fa888",
932
+ "language": "Python",
933
+ "lines": 799,
934
+ "truncated": false,
935
+ "block": 7,
936
+ "row": 10439
937
+ },
938
+ {
939
+ "path": "Models/HoverNext/hover_next_train/src/multi_head_unet.py",
940
+ "sha256": "32f677b33fc61e471c9b7095919c8f87742bc1261e9f79510a97ba380bd1fa0e",
941
+ "language": "Python",
942
+ "lines": 354,
943
+ "truncated": false,
944
+ "block": 7,
945
+ "row": 3069
946
+ },
947
+ {
948
+ "path": "Models/HoverNext/hover_next_train/src/post_proc_utils.py",
949
+ "sha256": "2d3becedbd0ff9b3334974421856b1968d551cd9ef376e54b56a50005d83932f",
950
+ "language": "Python",
951
+ "lines": 421,
952
+ "truncated": false,
953
+ "block": 7,
954
+ "row": 5496
955
+ },
956
+ {
957
+ "path": "Models/HoverNext/hover_next_train/src/spatial_augmenter.py",
958
+ "sha256": "52207f84a3262b5e2328eceaca3e5eb464ced1a5af67eac3a6ab9130e51de289",
959
+ "language": "Python",
960
+ "lines": 426,
961
+ "truncated": false,
962
+ "block": 7,
963
+ "row": 6574
964
+ },
965
+ {
966
+ "path": "Models/HoverNext/hover_next_train/src/train_utils.py",
967
+ "sha256": "c8bd9761c75fbcedf2c029f5613ef7230a0265746f145df404ed0c6d15459b4e",
968
+ "language": "Python",
969
+ "lines": 102,
970
+ "truncated": false,
971
+ "block": 6,
972
+ "row": 36622
973
+ },
974
+ {
975
+ "path": "Models/HoverNext/hover_next_train/src/validation.py",
976
+ "sha256": "a03b3582eae2249910e4c3da38a5312adcb7d15c1b230ce9a830f0b7487b9c0f",
977
+ "language": "Python",
978
+ "lines": 143,
979
+ "truncated": false,
980
+ "block": 6,
981
+ "row": 41671
982
+ },
983
+ {
984
+ "path": "Models/HoverNext/hover_next_train/train.py",
985
+ "sha256": "e71c75c2bf5da7a757cacc96e398e275f0a46a5831308596590027169cd083be",
986
+ "language": "Python",
987
+ "lines": 243,
988
+ "truncated": false,
989
+ "block": 7,
990
+ "row": 783
991
+ },
992
+ {
993
+ "path": "Models/HoverNext/run_hovernext.py",
994
+ "sha256": "94269208058cc90df44941cee727600956b3b388c90b6d0bc8851f9bedd86adf",
995
+ "language": "Python",
996
+ "lines": 155,
997
+ "truncated": false,
998
+ "block": 6,
999
+ "row": 43600
1000
+ },
1001
+ {
1002
+ "path": "Models/HoverNext/run_hovernextFolds.py",
1003
+ "sha256": "313a2640c595304091b226728b9d6c4105cd89f253eff0a1e9a1d98104d1efa8",
1004
+ "language": "Python",
1005
+ "lines": 155,
1006
+ "truncated": false,
1007
+ "block": 6,
1008
+ "row": 42808
1009
+ },
1010
+ {
1011
+ "path": "Models/HoverNext/run_hovernext_all.py",
1012
+ "sha256": "d80928b73ee89d9e55b66efb4c400db550e7651b7f85b507fbe6d59217856e82",
1013
+ "language": "Python",
1014
+ "lines": 200,
1015
+ "truncated": false,
1016
+ "block": 7,
1017
+ "row": 17
1018
+ },
1019
+ {
1020
+ "path": "Models/get_models.py",
1021
+ "sha256": "c66faaf0aa98260293c108f4dfd4b649bcd007fb441de05b2bc1958a30aae91d",
1022
+ "language": "Python",
1023
+ "lines": 253,
1024
+ "truncated": false,
1025
+ "block": 7,
1026
+ "row": 2955
1027
+ },
1028
+ {
1029
+ "path": "README.md",
1030
+ "sha256": "94ff2922c24d3add609d6c79bb02a6d92cc791d578f740d04458549ab6fb7cc7",
1031
+ "language": "Text",
1032
+ "lines": 80,
1033
+ "truncated": false,
1034
+ "block": 8,
1035
+ "row": 10236
1036
+ },
1037
+ {
1038
+ "path": "datasets_stats.py",
1039
+ "sha256": "4054633310622751bbe499093f0661030a202578795d2c8c1d403fbf746bb68e",
1040
+ "language": "Python",
1041
+ "lines": 102,
1042
+ "truncated": false,
1043
+ "block": 6,
1044
+ "row": 39431
1045
+ },
1046
+ {
1047
+ "path": "post_proc_cellvit.py",
1048
+ "sha256": "1157fb86eb841bfb3da1549f50f1cf855d5e8c663c973338fe3138e1cdd1eff5",
1049
+ "language": "Python",
1050
+ "lines": 328,
1051
+ "truncated": false,
1052
+ "block": 7,
1053
+ "row": 5432
1054
+ },
1055
+ {
1056
+ "path": "utils/class_augs.py",
1057
+ "sha256": "6792dac6756166bafc3c213f4a788c67f10734b3197a9f21fd5dd99e64acd09b",
1058
+ "language": "Python",
1059
+ "lines": 343,
1060
+ "truncated": false,
1061
+ "block": 7,
1062
+ "row": 6465
1063
+ },
1064
+ {
1065
+ "path": "utils/utils.py",
1066
+ "sha256": "4306e350609f2538065d19d5c80802ce1630c39e16386514d81ec36982fb6be5",
1067
+ "language": "Python",
1068
+ "lines": 592,
1069
+ "truncated": false,
1070
+ "block": 7,
1071
+ "row": 9315
1072
+ },
1073
+ {
1074
+ "path": "utilsHover/LoadPumaData.py",
1075
+ "sha256": "7d0fff2bce00e8fa2e154484ede4b769d21441e77b583bb46add8e39986b9f66",
1076
+ "language": "Python",
1077
+ "lines": 450,
1078
+ "truncated": false,
1079
+ "block": 7,
1080
+ "row": 7505
1081
+ },
1082
+ {
1083
+ "path": "utilsHover/dice_metric.py",
1084
+ "sha256": "902c94c780d67134e039944bdfcb7de257c877387c74e1372dc8a2063c3f5627",
1085
+ "language": "Python",
1086
+ "lines": 510,
1087
+ "truncated": false,
1088
+ "block": 7,
1089
+ "row": 8508
1090
+ },
1091
+ {
1092
+ "path": "utilsHover/random_augs_for_hist.py",
1093
+ "sha256": "30df02849f9cd37c06778195863b0dc5a8b76bdade95f1011d8adaa9364a2856",
1094
+ "language": "Python",
1095
+ "lines": 160,
1096
+ "truncated": false,
1097
+ "block": 6,
1098
+ "row": 43343
1099
+ },
1100
+ {
1101
+ "path": "utilsHover/stain_normalization.py",
1102
+ "sha256": "15c0ac23c123db20a2a05743333a368f4d00173f2d8b3d4f7d141da056a979fe",
1103
+ "language": "Python",
1104
+ "lines": 48,
1105
+ "truncated": false,
1106
+ "block": 6,
1107
+ "row": 29345
1108
+ },
1109
+ {
1110
+ "path": "utilsHover/tempTest.py",
1111
+ "sha256": "e1fabd8758e6e6921537a81e4b200d028ab1bce1ec79e2e7cc3773c4c1bf7c95",
1112
+ "language": "Python",
1113
+ "lines": 41,
1114
+ "truncated": false,
1115
+ "block": 6,
1116
+ "row": 31693
1117
+ },
1118
+ {
1119
+ "path": "utilsHover/train_model.py",
1120
+ "sha256": "135e0f73521bd4617f50943214b23b152713f3caa500f6ac4d4da3d770833b8a",
1121
+ "language": "Python",
1122
+ "lines": 385,
1123
+ "truncated": false,
1124
+ "block": 7,
1125
+ "row": 8601
1126
+ },
1127
+ {
1128
+ "path": "utilsHover/utilsNew.py",
1129
+ "sha256": "8783530758057098fea0f1eb10918dc7c71ee8a8aa6f63a36d535ba951c9925a",
1130
+ "language": "Python",
1131
+ "lines": 4078,
1132
+ "truncated": false,
1133
+ "block": 8,
1134
+ "row": 1159
1135
+ },
1136
+ {
1137
+ "path": "utilsHover/utils_nuclei.py",
1138
+ "sha256": "02aa5af4d878a6977a30cc876a05f84a84d2ef6d1da2b29de4b2cf003076537e",
1139
+ "language": "Python",
1140
+ "lines": 284,
1141
+ "truncated": false,
1142
+ "block": 7,
1143
+ "row": 2642
1144
+ }
1145
+ ]
1146
+ }
manifests/6c/github.com__scholz-lab__glowtracker.json ADDED
@@ -0,0 +1,291 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/scholz-lab/glowtracker",
4
+ "url": "https://github.com/scholz-lab/GlowTracker",
5
+ "host": "github.com",
6
+ "commit": "5585048feccaee94ba5a2fd4e7f2c9059f0126a8",
7
+ "license": "GPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE.txt",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE.txt",
13
+ "sha256": "0b383d5a63da644f628d99c33976ea6487ed89aaa59f0b3257992deac1171e6b",
14
+ "language": "License",
15
+ "lines": 674,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 2147
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "c2e43615c534c67fa6d1a8dbe2ef0b86a8ceb3fd5f0d94b5a1d826b35ce3e171",
23
+ "language": "Text",
24
+ "lines": 100,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10220
28
+ },
29
+ {
30
+ "path": "glowtracker/AutoFocus.py",
31
+ "sha256": "d46df31c82446a94fc9b941417f3341cadcc9b3fcf04f122859e94566ade4a16",
32
+ "language": "Python",
33
+ "lines": 197,
34
+ "truncated": false,
35
+ "block": 7,
36
+ "row": 226
37
+ },
38
+ {
39
+ "path": "glowtracker/Basler_control.py",
40
+ "sha256": "2a1d4b3f304ca97aa6246e3134e646b4a359fca99b9bc7769ea69e4a79cbf8c0",
41
+ "language": "Python",
42
+ "lines": 362,
43
+ "truncated": false,
44
+ "block": 7,
45
+ "row": 4715
46
+ },
47
+ {
48
+ "path": "glowtracker/DAQ_control.py",
49
+ "sha256": "3178444e40101c9cd842fe21da46fe02d62d04defc71969b491df586da96924d",
50
+ "language": "Python",
51
+ "lines": 615,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 8983
55
+ },
56
+ {
57
+ "path": "glowtracker/GlowTracker.py",
58
+ "sha256": "93defd1c64d73413de3638382a8b06ef033032b939d73f97fd96e27b67c7ca08",
59
+ "language": "Python",
60
+ "lines": 5221,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 1176
64
+ },
65
+ {
66
+ "path": "glowtracker/MacroScript.py",
67
+ "sha256": "737f40b79e24ad2462d1e384f85ae6e491e34d633c4868758b0c56705c05a76f",
68
+ "language": "Python",
69
+ "lines": 425,
70
+ "truncated": false,
71
+ "block": 7,
72
+ "row": 6376
73
+ },
74
+ {
75
+ "path": "glowtracker/Microscope_macros.py",
76
+ "sha256": "a433e2e989ad437b6087dce84eaeac7bf3dd5792525fa8484880c80f939e3994",
77
+ "language": "Python",
78
+ "lines": 1404,
79
+ "truncated": false,
80
+ "block": 8,
81
+ "row": 325
82
+ },
83
+ {
84
+ "path": "glowtracker/TestFunctions/SimpleStageExample.py",
85
+ "sha256": "6773ce6f75e315417364b4e0ac89f978cbdf9a3fe32a38ecd2dfa4c01bcc3d66",
86
+ "language": "Python",
87
+ "lines": 52,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 31152
91
+ },
92
+ {
93
+ "path": "glowtracker/TestFunctions/Test2.py",
94
+ "sha256": "149a92148dfba5d2288072d82a63a2530d76c6e40ecdbefde091798e91a87cc2",
95
+ "language": "Python",
96
+ "lines": 46,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 30164
100
+ },
101
+ {
102
+ "path": "glowtracker/TestFunctions/TestDO.py",
103
+ "sha256": "08044fd2fd74242fb296ec3fc2551cce48cd332815adc5e6c3968120692c69c8",
104
+ "language": "Python",
105
+ "lines": 129,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 41785
109
+ },
110
+ {
111
+ "path": "glowtracker/TestFunctions/TestKivy.py",
112
+ "sha256": "001350f4d75526677e1f8b39f2a13bd78173623ed56d5104973dff9199699fcc",
113
+ "language": "Python",
114
+ "lines": 88,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 31602
118
+ },
119
+ {
120
+ "path": "glowtracker/TestFunctions/Test_AnimationDAQ.py",
121
+ "sha256": "c529278f2b54d03859fd5a99e165c437c53381150631f8ecc34b2aea2df61a9d",
122
+ "language": "Python",
123
+ "lines": 58,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 28690
127
+ },
128
+ {
129
+ "path": "glowtracker/TestFunctions/Test_AnimationDAQ2.py",
130
+ "sha256": "27b3e3d0a659b0a92998e68c820d2ca49d305af7e23119d552f0e249442cc0c9",
131
+ "language": "Python",
132
+ "lines": 55,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 26572
136
+ },
137
+ {
138
+ "path": "glowtracker/TestFunctions/TestusingOtherFunction.py",
139
+ "sha256": "ab4f86635de7ffc5c7ff850cd0cd0c69c2a9022f2e417a80cbf910ca30643545",
140
+ "language": "Python",
141
+ "lines": 28,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 23023
145
+ },
146
+ {
147
+ "path": "glowtracker/TestFunctions/compareFocusEstimation.py",
148
+ "sha256": "ba666587184ce2cac9f7f2701df19e4881914bf8f8046d11eb2636a345f2eaf3",
149
+ "language": "Python",
150
+ "lines": 143,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 39397
154
+ },
155
+ {
156
+ "path": "glowtracker/TestFunctions/compareGrabSpeed.py",
157
+ "sha256": "79968908218256d4e30a518675dd718cf854b00cdacfd7e916f3c2ea6fc7ccb9",
158
+ "language": "Python",
159
+ "lines": 280,
160
+ "truncated": false,
161
+ "block": 7,
162
+ "row": 178
163
+ },
164
+ {
165
+ "path": "glowtracker/TestFunctions/hardware_trigger_grab.py",
166
+ "sha256": "9e4784acc5aa2dc991fa7b2b3991148c7818078a96e9b2164a3787906d06fb83",
167
+ "language": "Python",
168
+ "lines": 201,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 41605
172
+ },
173
+ {
174
+ "path": "glowtracker/TestFunctions/macro_language.py",
175
+ "sha256": "61c2765a0f66d5ed6099330bf398806c6b18f3c4607bee5b1ef25fa7ddedc94a",
176
+ "language": "Python",
177
+ "lines": 410,
178
+ "truncated": false,
179
+ "block": 7,
180
+ "row": 5523
181
+ },
182
+ {
183
+ "path": "glowtracker/TestFunctions/motiontest.py",
184
+ "sha256": "c3bfa925e15ee674b65b89462f59b3b8146172541c25cee8a2a1f256d14a87f9",
185
+ "language": "Python",
186
+ "lines": 37,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 26900
190
+ },
191
+ {
192
+ "path": "glowtracker/TestFunctions/sensor_readout_time_vs_roi.py",
193
+ "sha256": "991dae225ca19e8d39af7361ec9c14c9457393884de264fa6df2cbb7f06b5471",
194
+ "language": "Python",
195
+ "lines": 120,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 38109
199
+ },
200
+ {
201
+ "path": "glowtracker/TestFunctions/simpleAcquisition.py",
202
+ "sha256": "72a51f0aaf180345f62415e6ef2f39626cddc529b040cf3f334232167e817377",
203
+ "language": "Python",
204
+ "lines": 130,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 41528
208
+ },
209
+ {
210
+ "path": "glowtracker/TestFunctions/testCameraIO.py",
211
+ "sha256": "84e98ef5247000717a3c4a3652c1393847bf90390b1fbc8ccb1307676d54bb00",
212
+ "language": "Python",
213
+ "lines": 78,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 31728
217
+ },
218
+ {
219
+ "path": "glowtracker/TestFunctions/testDualColorCalibration.py",
220
+ "sha256": "3d72a68131569fe0ceda294f5e60e18c99ce3a14dd8c1cfd685f95fa5e0ad32d",
221
+ "language": "Python",
222
+ "lines": 486,
223
+ "truncated": false,
224
+ "block": 7,
225
+ "row": 7591
226
+ },
227
+ {
228
+ "path": "glowtracker/TestFunctions/testHardWareTriggerAcquisition.py",
229
+ "sha256": "28696fa3d7f37c0c859f9d0546e295370a787f90474d1580b735421804f25846",
230
+ "language": "Python",
231
+ "lines": 339,
232
+ "truncated": false,
233
+ "block": 7,
234
+ "row": 2136
235
+ },
236
+ {
237
+ "path": "glowtracker/TestFunctions/testLabJack.py",
238
+ "sha256": "f22473714ff511264d95798eef1fb5089117d8aef528fdb132f26bde6644a6ec",
239
+ "language": "Python",
240
+ "lines": 76,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 32505
244
+ },
245
+ {
246
+ "path": "glowtracker/TestFunctions/testObjectDetection.py",
247
+ "sha256": "767ce141fb285705415cac45c517bd9e329cf7f333ea5b45f3188416f0daad10",
248
+ "language": "Python",
249
+ "lines": 84,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 35751
253
+ },
254
+ {
255
+ "path": "glowtracker/TestFunctions/testZaberStageMovementSpeed.py",
256
+ "sha256": "94282c3cd2ddd956d6c7c5ac759bfafd176a635ac767e317881d7d99209e6248",
257
+ "language": "Python",
258
+ "lines": 85,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 33528
262
+ },
263
+ {
264
+ "path": "glowtracker/Zaber_control.py",
265
+ "sha256": "b28d6c075359988ce0337acc7aaed88c8abc49064a6cee84a4d6780464684f4f",
266
+ "language": "Python",
267
+ "lines": 573,
268
+ "truncated": false,
269
+ "block": 7,
270
+ "row": 9177
271
+ },
272
+ {
273
+ "path": "glowtracker/__init__.py",
274
+ "sha256": "8317a2a9aab49d5100153b02584a2ccb30df59490e40264c40d967c02634235e",
275
+ "language": "Python",
276
+ "lines": 3,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 20712
280
+ },
281
+ {
282
+ "path": "glowtracker/__main__.py",
283
+ "sha256": "8c02c8390541b641861dd808b5c9af702f46a9a5b67bcf60d62747633b6639b7",
284
+ "language": "Python",
285
+ "lines": 17,
286
+ "truncated": false,
287
+ "block": 6,
288
+ "row": 22431
289
+ }
290
+ ]
291
+ }
manifests/6c/github.com__ucl-pond__pysustain.json ADDED
@@ -0,0 +1,183 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/ucl-pond/pysustain",
4
+ "url": "https://github.com/ucl-pond/pySuStaIn",
5
+ "host": "github.com",
6
+ "commit": "708fa22d89c9692dbeafcc2c31a1c8460ced5640",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE.txt",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE.txt",
13
+ "sha256": "6f42e6b85b203297ddda2f4dd51e00894bbbb0827bdbb49b9b86aeabb33f838d",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1847
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "cf753d41330011effc4ce57790db81f9bd78615659906e602690c562efb6f43a",
23
+ "language": "Text",
24
+ "lines": 133,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10571
28
+ },
29
+ {
30
+ "path": "notebooks/SuStaIn tutorial using mixed input data.ipynb",
31
+ "sha256": "834f46892d651a079734ac4044887492d088c7bb344f9ce4cae8a8a62e89927b",
32
+ "language": "Jupyter",
33
+ "lines": 568,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 901
37
+ },
38
+ {
39
+ "path": "notebooks/SuStaIn tutorial using simulated data.ipynb",
40
+ "sha256": "c35ba40d601b73e75a0ae83a858a2f050e88b9fa7e742d304590b712bee8c3dc",
41
+ "language": "Jupyter",
42
+ "lines": 657,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 1092
46
+ },
47
+ {
48
+ "path": "notebooks/SuStaInWorkshop.ipynb",
49
+ "sha256": "8412c69938ba8b8c7378aa52d54ac1d8494281de4627c958a4a7bd776755ace2",
50
+ "language": "Jupyter",
51
+ "lines": 426,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 531
55
+ },
56
+ {
57
+ "path": "pySuStaIn/AbstractSustain.py",
58
+ "sha256": "5d0719ea48f04377215ee8c128b4483b7a055411a92d7f3989fa1e10a51b93a3",
59
+ "language": "Python",
60
+ "lines": 1133,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 538
64
+ },
65
+ {
66
+ "path": "pySuStaIn/MixedTypeSustain.py",
67
+ "sha256": "8ef491a20222909db72cf5252a5215d7d820e6a0a7940302cbddc7891ab51ef4",
68
+ "language": "Python",
69
+ "lines": 1263,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 596
73
+ },
74
+ {
75
+ "path": "pySuStaIn/MixtureSustain.py",
76
+ "sha256": "1e93756bc6b1e25bb030adf931ce4eba59dfd8509cf0b6032878ae288351eb4e",
77
+ "language": "Python",
78
+ "lines": 770,
79
+ "truncated": false,
80
+ "block": 7,
81
+ "row": 11569
82
+ },
83
+ {
84
+ "path": "pySuStaIn/OrdinalSustain.py",
85
+ "sha256": "64cec683a76958ced9fdc0402b4d1c2ae84756e6fd5d36e7844649426ad31ff4",
86
+ "language": "Python",
87
+ "lines": 793,
88
+ "truncated": false,
89
+ "block": 7,
90
+ "row": 11817
91
+ },
92
+ {
93
+ "path": "pySuStaIn/ZScoreSustainMissingData.py",
94
+ "sha256": "990fe9d58e3d1b9bccf32e03e5ea44c0f41550d038029deac9f5f4aff831fbe3",
95
+ "language": "Python",
96
+ "lines": 616,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 11053
100
+ },
101
+ {
102
+ "path": "pySuStaIn/ZscoreSustain.py",
103
+ "sha256": "4c510a7e10332eea7361f1fe7ff7c8d66961843bf6993850c22b0027eda9ef66",
104
+ "language": "Python",
105
+ "lines": 820,
106
+ "truncated": false,
107
+ "block": 7,
108
+ "row": 11873
109
+ },
110
+ {
111
+ "path": "pySuStaIn/__init__.py",
112
+ "sha256": "7346670f9962a5d09a47c82b14fd1342aa32361822b40909fa04b15058da0dcf",
113
+ "language": "Python",
114
+ "lines": 9,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 21462
118
+ },
119
+ {
120
+ "path": "setup.py",
121
+ "sha256": "0525e92f7c2cc47ba2a5ac7439bfd91dd73af0f6a95a74e85fe4f2589cbe7a17",
122
+ "language": "Python",
123
+ "lines": 35,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 27389
127
+ },
128
+ {
129
+ "path": "sim/__init__.py",
130
+ "sha256": "8a0e741ca425555ef90aa91051b49a44471e36e3d78d38366b79f9c8285451a6",
131
+ "language": "Python",
132
+ "lines": 7,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 21001
136
+ },
137
+ {
138
+ "path": "sim/simfuncs.py",
139
+ "sha256": "42e41fd449d9c017bd981cda25bd712ab58908be28ac490c0515f4768a22d160",
140
+ "language": "Python",
141
+ "lines": 202,
142
+ "truncated": false,
143
+ "block": 7,
144
+ "row": 3412
145
+ },
146
+ {
147
+ "path": "sim/simfuncs_mixed.py",
148
+ "sha256": "033577d9427bc2571c3c4c5720ff7ccff3e49353ba4226c2300e4313c8ffad02",
149
+ "language": "Python",
150
+ "lines": 589,
151
+ "truncated": false,
152
+ "block": 7,
153
+ "row": 9130
154
+ },
155
+ {
156
+ "path": "sim/simrun.py",
157
+ "sha256": "7afa52a08c20906955a6095973d08088fac611a32c9cdf426444b76ac1612ecc",
158
+ "language": "Python",
159
+ "lines": 358,
160
+ "truncated": false,
161
+ "block": 7,
162
+ "row": 7559
163
+ },
164
+ {
165
+ "path": "tests/create_validation.py",
166
+ "sha256": "a847f8572b5c3bb00bd6a3dfff43003699bde4d7c0d61e3fe7160a37ad9c5680",
167
+ "language": "Python",
168
+ "lines": 132,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 39928
172
+ },
173
+ {
174
+ "path": "tests/validation.py",
175
+ "sha256": "c2788d7ac7d8a3478c86785ace0888f6e9a02945b6b72ffdecb95f3fddebaf5b",
176
+ "language": "Python",
177
+ "lines": 143,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 40919
181
+ }
182
+ ]
183
+ }
manifests/6c/gitlab.com__cvejic-group__smash.json ADDED
@@ -0,0 +1,768 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "gitlab.com/cvejic-group/smash",
4
+ "url": "https://gitlab.com/cvejic-group/smash",
5
+ "host": "gitlab.com",
6
+ "commit": "318698bf1fd5ef4294149e9e7fd2d8465a868c9c",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "4eb6882f5da66d4b6f72f933bbad669e78093f21cab6d9e61047b6f009cce2c0",
14
+ "language": "License",
15
+ "lines": 19,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1819
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "bda731e1f5b366fc59ba7b16fb090ef7c349353d622ced9d47e00a5348c60c20",
23
+ "language": "Text",
24
+ "lines": 100,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10364
28
+ },
29
+ {
30
+ "path": "build/lib/__init__.py",
31
+ "sha256": "ac8459d3d3971f49db3f5aac6b985c3517579804214c7bf8558685014eab9bea",
32
+ "language": "Python",
33
+ "lines": 1,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 20214
37
+ },
38
+ {
39
+ "path": "build/lib/_version.py",
40
+ "sha256": "62fb98cd69cab6a05bf88a86f0702efa7848600b208fd56673f6fda3bbcefa3b",
41
+ "language": "Python",
42
+ "lines": 1,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 20155
46
+ },
47
+ {
48
+ "path": "build/lib/pySMaSH.py",
49
+ "sha256": "b37622da3e5eb6bee02f2920cb7eb0490b4f7ea8928b275d04fff8c8db826ce1",
50
+ "language": "Python",
51
+ "lines": 1136,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 11136
55
+ },
56
+ {
57
+ "path": "build/lib/smashpy.py",
58
+ "sha256": "dfddf089a0254a2464c08b377432603e9f6e38a2ffd59b89e47c06d7a97d75cd",
59
+ "language": "Python",
60
+ "lines": 1110,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 11247
64
+ },
65
+ {
66
+ "path": "notebooks/cite-seq/.ipynb_checkpoints/BRF-checkpoint.ipynb",
67
+ "sha256": "64b52ba8aac2da1b3987c351ee845d6ef700004661f462973dc06cbe9a3a4771",
68
+ "language": "Jupyter",
69
+ "lines": 130,
70
+ "truncated": false,
71
+ "block": 5,
72
+ "row": 16361
73
+ },
74
+ {
75
+ "path": "notebooks/cite-seq/.ipynb_checkpoints/DNN-checkpoint.ipynb",
76
+ "sha256": "1f2e20ee9ce969e95f1e0612d0c88efddf926db472e2bddbb993853cd2d35dd1",
77
+ "language": "Jupyter",
78
+ "lines": 139,
79
+ "truncated": false,
80
+ "block": 5,
81
+ "row": 16357
82
+ },
83
+ {
84
+ "path": "notebooks/cite-seq/.ipynb_checkpoints/RF-checkpoint.ipynb",
85
+ "sha256": "2f5f180390f91700c97aacfd8e97b333f44ab5d8873ccbbcd06dd1407eb2e815",
86
+ "language": "Jupyter",
87
+ "lines": 130,
88
+ "truncated": false,
89
+ "block": 5,
90
+ "row": 16356
91
+ },
92
+ {
93
+ "path": "notebooks/cite-seq/.ipynb_checkpoints/RankCorr_without_filtering-checkpoint.ipynb",
94
+ "sha256": "1fe7dbf4c52400ca0e2718e0d27de2c874743cf9783ee986ee59818888adbd54",
95
+ "language": "Jupyter",
96
+ "lines": 191,
97
+ "truncated": false,
98
+ "block": 5,
99
+ "row": 16533
100
+ },
101
+ {
102
+ "path": "notebooks/cite-seq/.ipynb_checkpoints/XGBoost-checkpoint.ipynb",
103
+ "sha256": "8ae1a9dabda43e135e9cd3021cd1bffcf9f6006a6e8da9ca20e15cae362642cb",
104
+ "language": "Jupyter",
105
+ "lines": 130,
106
+ "truncated": false,
107
+ "block": 5,
108
+ "row": 16360
109
+ },
110
+ {
111
+ "path": "notebooks/cite-seq/.ipynb_checkpoints/scGeneFit_without_filtering-checkpoint.ipynb",
112
+ "sha256": "15768294082dbfd55ff792707b5345a11ec8fb79760e33d7e54734f6196a75d1",
113
+ "language": "Jupyter",
114
+ "lines": 171,
115
+ "truncated": false,
116
+ "block": 5,
117
+ "row": 16494
118
+ },
119
+ {
120
+ "path": "notebooks/cite-seq/BRF.ipynb",
121
+ "sha256": "64b52ba8aac2da1b3987c351ee845d6ef700004661f462973dc06cbe9a3a4771",
122
+ "language": "Jupyter",
123
+ "lines": 130,
124
+ "truncated": false,
125
+ "block": 5,
126
+ "row": 16361
127
+ },
128
+ {
129
+ "path": "notebooks/cite-seq/DNN.ipynb",
130
+ "sha256": "1f2e20ee9ce969e95f1e0612d0c88efddf926db472e2bddbb993853cd2d35dd1",
131
+ "language": "Jupyter",
132
+ "lines": 139,
133
+ "truncated": false,
134
+ "block": 5,
135
+ "row": 16357
136
+ },
137
+ {
138
+ "path": "notebooks/cite-seq/RF.ipynb",
139
+ "sha256": "2f5f180390f91700c97aacfd8e97b333f44ab5d8873ccbbcd06dd1407eb2e815",
140
+ "language": "Jupyter",
141
+ "lines": 130,
142
+ "truncated": false,
143
+ "block": 5,
144
+ "row": 16356
145
+ },
146
+ {
147
+ "path": "notebooks/cite-seq/RankCorr_without_filtering.ipynb",
148
+ "sha256": "1fe7dbf4c52400ca0e2718e0d27de2c874743cf9783ee986ee59818888adbd54",
149
+ "language": "Jupyter",
150
+ "lines": 191,
151
+ "truncated": false,
152
+ "block": 5,
153
+ "row": 16533
154
+ },
155
+ {
156
+ "path": "notebooks/cite-seq/XGBoost.ipynb",
157
+ "sha256": "8ae1a9dabda43e135e9cd3021cd1bffcf9f6006a6e8da9ca20e15cae362642cb",
158
+ "language": "Jupyter",
159
+ "lines": 130,
160
+ "truncated": false,
161
+ "block": 5,
162
+ "row": 16360
163
+ },
164
+ {
165
+ "path": "notebooks/cite-seq/scGeneFit_without_filtering.ipynb",
166
+ "sha256": "15768294082dbfd55ff792707b5345a11ec8fb79760e33d7e54734f6196a75d1",
167
+ "language": "Jupyter",
168
+ "lines": 171,
169
+ "truncated": false,
170
+ "block": 5,
171
+ "row": 16494
172
+ },
173
+ {
174
+ "path": "notebooks/human_foetal_liver/.ipynb_checkpoints/BRF-checkpoint.ipynb",
175
+ "sha256": "af51d5c4685093eecd13336f49eafdf5de8197ed25ad9582e1fadee8a48efbb6",
176
+ "language": "Jupyter",
177
+ "lines": 175,
178
+ "truncated": false,
179
+ "block": 5,
180
+ "row": 16570
181
+ },
182
+ {
183
+ "path": "notebooks/human_foetal_liver/.ipynb_checkpoints/DNN-checkpoint.ipynb",
184
+ "sha256": "de9dcbea7b2dd0a8e10fe1f99557a84f06f8ba7dd2aee3d6f553a1befba228de",
185
+ "language": "Jupyter",
186
+ "lines": 215,
187
+ "truncated": false,
188
+ "block": 5,
189
+ "row": 16774
190
+ },
191
+ {
192
+ "path": "notebooks/human_foetal_liver/.ipynb_checkpoints/RF-checkpoint.ipynb",
193
+ "sha256": "08099aa155ca327477df23a8cbf494b3ac50d3e5adab18f5a82d92818f02c456",
194
+ "language": "Jupyter",
195
+ "lines": 175,
196
+ "truncated": false,
197
+ "block": 5,
198
+ "row": 16567
199
+ },
200
+ {
201
+ "path": "notebooks/human_foetal_liver/.ipynb_checkpoints/RankCorr_without_filtering-checkpoint.ipynb",
202
+ "sha256": "458600b9517d76b19568c43e76c613ed19dc80a0538e95c7f8ae5a9c8fdfffe7",
203
+ "language": "Jupyter",
204
+ "lines": 182,
205
+ "truncated": false,
206
+ "block": 5,
207
+ "row": 16542
208
+ },
209
+ {
210
+ "path": "notebooks/human_foetal_liver/.ipynb_checkpoints/XGBoost-checkpoint.ipynb",
211
+ "sha256": "70d10fe513998d21f8e0704916e6033bcbe6f3fcf1572b3ccbad9e27011f3ec6",
212
+ "language": "Jupyter",
213
+ "lines": 175,
214
+ "truncated": false,
215
+ "block": 5,
216
+ "row": 16568
217
+ },
218
+ {
219
+ "path": "notebooks/human_foetal_liver/.ipynb_checkpoints/scGeneFit_without_filtering-checkpoint.ipynb",
220
+ "sha256": "a75a637d7d41194b8e82edd2686dd77e563721fc955dbfd6aa3690a5efcfd0a2",
221
+ "language": "Jupyter",
222
+ "lines": 171,
223
+ "truncated": false,
224
+ "block": 5,
225
+ "row": 16510
226
+ },
227
+ {
228
+ "path": "notebooks/human_foetal_liver/BRF.ipynb",
229
+ "sha256": "af51d5c4685093eecd13336f49eafdf5de8197ed25ad9582e1fadee8a48efbb6",
230
+ "language": "Jupyter",
231
+ "lines": 175,
232
+ "truncated": false,
233
+ "block": 5,
234
+ "row": 16570
235
+ },
236
+ {
237
+ "path": "notebooks/human_foetal_liver/DNN.ipynb",
238
+ "sha256": "de9dcbea7b2dd0a8e10fe1f99557a84f06f8ba7dd2aee3d6f553a1befba228de",
239
+ "language": "Jupyter",
240
+ "lines": 215,
241
+ "truncated": false,
242
+ "block": 5,
243
+ "row": 16774
244
+ },
245
+ {
246
+ "path": "notebooks/human_foetal_liver/RF.ipynb",
247
+ "sha256": "08099aa155ca327477df23a8cbf494b3ac50d3e5adab18f5a82d92818f02c456",
248
+ "language": "Jupyter",
249
+ "lines": 175,
250
+ "truncated": false,
251
+ "block": 5,
252
+ "row": 16567
253
+ },
254
+ {
255
+ "path": "notebooks/human_foetal_liver/RankCorr_without_filtering.ipynb",
256
+ "sha256": "458600b9517d76b19568c43e76c613ed19dc80a0538e95c7f8ae5a9c8fdfffe7",
257
+ "language": "Jupyter",
258
+ "lines": 182,
259
+ "truncated": false,
260
+ "block": 5,
261
+ "row": 16542
262
+ },
263
+ {
264
+ "path": "notebooks/human_foetal_liver/XGBoost.ipynb",
265
+ "sha256": "70d10fe513998d21f8e0704916e6033bcbe6f3fcf1572b3ccbad9e27011f3ec6",
266
+ "language": "Jupyter",
267
+ "lines": 175,
268
+ "truncated": false,
269
+ "block": 5,
270
+ "row": 16568
271
+ },
272
+ {
273
+ "path": "notebooks/human_foetal_liver/scGeneFit_without_filtering.ipynb",
274
+ "sha256": "a75a637d7d41194b8e82edd2686dd77e563721fc955dbfd6aa3690a5efcfd0a2",
275
+ "language": "Jupyter",
276
+ "lines": 171,
277
+ "truncated": false,
278
+ "block": 5,
279
+ "row": 16510
280
+ },
281
+ {
282
+ "path": "notebooks/human_foetal_organs/balanced/.ipynb_checkpoints/BRF-checkpoint.ipynb",
283
+ "sha256": "943f53992857fd799d84aa8003a2970168585cf7bcad1d1e1222355aabd5d208",
284
+ "language": "Jupyter",
285
+ "lines": 175,
286
+ "truncated": false,
287
+ "block": 5,
288
+ "row": 16550
289
+ },
290
+ {
291
+ "path": "notebooks/human_foetal_organs/balanced/.ipynb_checkpoints/DNN-checkpoint.ipynb",
292
+ "sha256": "c7688ff7e0f2060c2616813808eab62d43303fca9a2f1d9a612cac93fe82c79d",
293
+ "language": "Jupyter",
294
+ "lines": 215,
295
+ "truncated": false,
296
+ "block": 5,
297
+ "row": 16751
298
+ },
299
+ {
300
+ "path": "notebooks/human_foetal_organs/balanced/.ipynb_checkpoints/RF-checkpoint.ipynb",
301
+ "sha256": "d585d0661bdc60f40ab149b1a230427d583b0b5d4941c844f56b4c32f69f3db0",
302
+ "language": "Jupyter",
303
+ "lines": 178,
304
+ "truncated": false,
305
+ "block": 5,
306
+ "row": 16551
307
+ },
308
+ {
309
+ "path": "notebooks/human_foetal_organs/balanced/.ipynb_checkpoints/RankCorr_without_filtering-checkpoint.ipynb",
310
+ "sha256": "a45518dbc8311291ff8000ca5ef12a646bab50070db5237eed41da1be9d17596",
311
+ "language": "Jupyter",
312
+ "lines": 182,
313
+ "truncated": false,
314
+ "block": 5,
315
+ "row": 16532
316
+ },
317
+ {
318
+ "path": "notebooks/human_foetal_organs/balanced/.ipynb_checkpoints/XGBoost-checkpoint.ipynb",
319
+ "sha256": "692fc5e2aca255a2f4796480f2592a59e16441acbe096a4dd3e60761ffa93f17",
320
+ "language": "Jupyter",
321
+ "lines": 175,
322
+ "truncated": false,
323
+ "block": 5,
324
+ "row": 16547
325
+ },
326
+ {
327
+ "path": "notebooks/human_foetal_organs/balanced/.ipynb_checkpoints/scGeneFit_without_filtering-checkpoint.ipynb",
328
+ "sha256": "39d61d1a03d09474d4a078dadfe8d18027d47c4667b2a4f32a329ef74f19ddd8",
329
+ "language": "Jupyter",
330
+ "lines": 171,
331
+ "truncated": false,
332
+ "block": 5,
333
+ "row": 16497
334
+ },
335
+ {
336
+ "path": "notebooks/human_foetal_organs/balanced/BRF.ipynb",
337
+ "sha256": "943f53992857fd799d84aa8003a2970168585cf7bcad1d1e1222355aabd5d208",
338
+ "language": "Jupyter",
339
+ "lines": 175,
340
+ "truncated": false,
341
+ "block": 5,
342
+ "row": 16550
343
+ },
344
+ {
345
+ "path": "notebooks/human_foetal_organs/balanced/DNN.ipynb",
346
+ "sha256": "c7688ff7e0f2060c2616813808eab62d43303fca9a2f1d9a612cac93fe82c79d",
347
+ "language": "Jupyter",
348
+ "lines": 215,
349
+ "truncated": false,
350
+ "block": 5,
351
+ "row": 16751
352
+ },
353
+ {
354
+ "path": "notebooks/human_foetal_organs/balanced/RF.ipynb",
355
+ "sha256": "d585d0661bdc60f40ab149b1a230427d583b0b5d4941c844f56b4c32f69f3db0",
356
+ "language": "Jupyter",
357
+ "lines": 178,
358
+ "truncated": false,
359
+ "block": 5,
360
+ "row": 16551
361
+ },
362
+ {
363
+ "path": "notebooks/human_foetal_organs/balanced/RankCorr_without_filtering.ipynb",
364
+ "sha256": "a45518dbc8311291ff8000ca5ef12a646bab50070db5237eed41da1be9d17596",
365
+ "language": "Jupyter",
366
+ "lines": 182,
367
+ "truncated": false,
368
+ "block": 5,
369
+ "row": 16532
370
+ },
371
+ {
372
+ "path": "notebooks/human_foetal_organs/balanced/XGBoost.ipynb",
373
+ "sha256": "692fc5e2aca255a2f4796480f2592a59e16441acbe096a4dd3e60761ffa93f17",
374
+ "language": "Jupyter",
375
+ "lines": 175,
376
+ "truncated": false,
377
+ "block": 5,
378
+ "row": 16547
379
+ },
380
+ {
381
+ "path": "notebooks/human_foetal_organs/balanced/scGeneFit_without_filtering.ipynb",
382
+ "sha256": "39d61d1a03d09474d4a078dadfe8d18027d47c4667b2a4f32a329ef74f19ddd8",
383
+ "language": "Jupyter",
384
+ "lines": 171,
385
+ "truncated": false,
386
+ "block": 5,
387
+ "row": 16497
388
+ },
389
+ {
390
+ "path": "notebooks/human_foetal_organs/stratified/.ipynb_checkpoints/BRF-checkpoint.ipynb",
391
+ "sha256": "1718d36660a32a08e8df3046c7b474569d0c094d8a79087d416815a9e2ec22cd",
392
+ "language": "Jupyter",
393
+ "lines": 175,
394
+ "truncated": false,
395
+ "block": 5,
396
+ "row": 16552
397
+ },
398
+ {
399
+ "path": "notebooks/human_foetal_organs/stratified/.ipynb_checkpoints/DNN-checkpoint.ipynb",
400
+ "sha256": "857232e33d1c069ab4b1c0038cee0b0ecaefc47d313769e6556853cc064a835b",
401
+ "language": "Jupyter",
402
+ "lines": 215,
403
+ "truncated": false,
404
+ "block": 5,
405
+ "row": 16754
406
+ },
407
+ {
408
+ "path": "notebooks/human_foetal_organs/stratified/.ipynb_checkpoints/RF-checkpoint.ipynb",
409
+ "sha256": "531cda3054a679bab632ead58e1cff084025c172bd4675b01a211bd657f93400",
410
+ "language": "Jupyter",
411
+ "lines": 181,
412
+ "truncated": false,
413
+ "block": 5,
414
+ "row": 16554
415
+ },
416
+ {
417
+ "path": "notebooks/human_foetal_organs/stratified/.ipynb_checkpoints/RankCorr_without_filtering-checkpoint.ipynb",
418
+ "sha256": "fc3941592a58084e3c65e07940aaa4f6026700085fa5f3e735d6a9be72f53213",
419
+ "language": "Jupyter",
420
+ "lines": 182,
421
+ "truncated": false,
422
+ "block": 5,
423
+ "row": 16534
424
+ },
425
+ {
426
+ "path": "notebooks/human_foetal_organs/stratified/.ipynb_checkpoints/XGBoost-checkpoint.ipynb",
427
+ "sha256": "7cab7728e89c273893c5171d21c222d94a751a8172cabb95ccb0a7db569af486",
428
+ "language": "Jupyter",
429
+ "lines": 175,
430
+ "truncated": false,
431
+ "block": 5,
432
+ "row": 16548
433
+ },
434
+ {
435
+ "path": "notebooks/human_foetal_organs/stratified/.ipynb_checkpoints/scGeneFit_without_filtering-checkpoint.ipynb",
436
+ "sha256": "3dba39f386ed50979f48dcd2c1c3e5a3147162b661ad3a6bfea0db64cd0dca49",
437
+ "language": "Jupyter",
438
+ "lines": 171,
439
+ "truncated": false,
440
+ "block": 5,
441
+ "row": 16499
442
+ },
443
+ {
444
+ "path": "notebooks/human_foetal_organs/stratified/BRF.ipynb",
445
+ "sha256": "1718d36660a32a08e8df3046c7b474569d0c094d8a79087d416815a9e2ec22cd",
446
+ "language": "Jupyter",
447
+ "lines": 175,
448
+ "truncated": false,
449
+ "block": 5,
450
+ "row": 16552
451
+ },
452
+ {
453
+ "path": "notebooks/human_foetal_organs/stratified/DNN.ipynb",
454
+ "sha256": "857232e33d1c069ab4b1c0038cee0b0ecaefc47d313769e6556853cc064a835b",
455
+ "language": "Jupyter",
456
+ "lines": 215,
457
+ "truncated": false,
458
+ "block": 5,
459
+ "row": 16754
460
+ },
461
+ {
462
+ "path": "notebooks/human_foetal_organs/stratified/RF.ipynb",
463
+ "sha256": "531cda3054a679bab632ead58e1cff084025c172bd4675b01a211bd657f93400",
464
+ "language": "Jupyter",
465
+ "lines": 181,
466
+ "truncated": false,
467
+ "block": 5,
468
+ "row": 16554
469
+ },
470
+ {
471
+ "path": "notebooks/human_foetal_organs/stratified/RankCorr_without_filtering.ipynb",
472
+ "sha256": "fc3941592a58084e3c65e07940aaa4f6026700085fa5f3e735d6a9be72f53213",
473
+ "language": "Jupyter",
474
+ "lines": 182,
475
+ "truncated": false,
476
+ "block": 5,
477
+ "row": 16534
478
+ },
479
+ {
480
+ "path": "notebooks/human_foetal_organs/stratified/XGBoost.ipynb",
481
+ "sha256": "7cab7728e89c273893c5171d21c222d94a751a8172cabb95ccb0a7db569af486",
482
+ "language": "Jupyter",
483
+ "lines": 175,
484
+ "truncated": false,
485
+ "block": 5,
486
+ "row": 16548
487
+ },
488
+ {
489
+ "path": "notebooks/human_foetal_organs/stratified/scGeneFit_without_filtering.ipynb",
490
+ "sha256": "3dba39f386ed50979f48dcd2c1c3e5a3147162b661ad3a6bfea0db64cd0dca49",
491
+ "language": "Jupyter",
492
+ "lines": 171,
493
+ "truncated": false,
494
+ "block": 5,
495
+ "row": 16499
496
+ },
497
+ {
498
+ "path": "notebooks/mouse_brain/broad_population/.ipynb_checkpoints/BRF-checkpoint.ipynb",
499
+ "sha256": "3d46f0a0ef342bbbcf9a104d4c915ae62ec7c871d9575860e6a9dcaa23ec3365",
500
+ "language": "Jupyter",
501
+ "lines": 195,
502
+ "truncated": false,
503
+ "block": 5,
504
+ "row": 16618
505
+ },
506
+ {
507
+ "path": "notebooks/mouse_brain/broad_population/.ipynb_checkpoints/DNN-checkpoint.ipynb",
508
+ "sha256": "6f242efa28d2b220ad300edd15ea184f543bfc81026c90347fc98d7e380d1f92",
509
+ "language": "Jupyter",
510
+ "lines": 207,
511
+ "truncated": false,
512
+ "block": 5,
513
+ "row": 16626
514
+ },
515
+ {
516
+ "path": "notebooks/mouse_brain/broad_population/.ipynb_checkpoints/RF-checkpoint.ipynb",
517
+ "sha256": "2dfed92833c074c382055b0f47ecbb1779ffb7ef5f3df45acac57c1ab61c2144",
518
+ "language": "Jupyter",
519
+ "lines": 195,
520
+ "truncated": false,
521
+ "block": 5,
522
+ "row": 16615
523
+ },
524
+ {
525
+ "path": "notebooks/mouse_brain/broad_population/.ipynb_checkpoints/RankCorr_without_filtering-checkpoint.ipynb",
526
+ "sha256": "9c6e91f2fc3d953b066318e3ee5c4b7411d2bedb4d9d36dc6175c5e8be062915",
527
+ "language": "Jupyter",
528
+ "lines": 212,
529
+ "truncated": false,
530
+ "block": 5,
531
+ "row": 16622
532
+ },
533
+ {
534
+ "path": "notebooks/mouse_brain/broad_population/.ipynb_checkpoints/XGBoost-checkpoint.ipynb",
535
+ "sha256": "4577529f4f0bf44169e02f2ad13861070d1e7cffe2b84fffc741802034b5e124",
536
+ "language": "Jupyter",
537
+ "lines": 204,
538
+ "truncated": false,
539
+ "block": 5,
540
+ "row": 16623
541
+ },
542
+ {
543
+ "path": "notebooks/mouse_brain/broad_population/.ipynb_checkpoints/scGeneFit_without_filtering-checkpoint.ipynb",
544
+ "sha256": "edae581172e300bcdce83946665fc204827bac81f94400464e811ab90d05259c",
545
+ "language": "Jupyter",
546
+ "lines": 201,
547
+ "truncated": false,
548
+ "block": 5,
549
+ "row": 16636
550
+ },
551
+ {
552
+ "path": "notebooks/mouse_brain/broad_population/BRF.ipynb",
553
+ "sha256": "3d46f0a0ef342bbbcf9a104d4c915ae62ec7c871d9575860e6a9dcaa23ec3365",
554
+ "language": "Jupyter",
555
+ "lines": 195,
556
+ "truncated": false,
557
+ "block": 5,
558
+ "row": 16618
559
+ },
560
+ {
561
+ "path": "notebooks/mouse_brain/broad_population/DNN.ipynb",
562
+ "sha256": "6f242efa28d2b220ad300edd15ea184f543bfc81026c90347fc98d7e380d1f92",
563
+ "language": "Jupyter",
564
+ "lines": 207,
565
+ "truncated": false,
566
+ "block": 5,
567
+ "row": 16626
568
+ },
569
+ {
570
+ "path": "notebooks/mouse_brain/broad_population/RF.ipynb",
571
+ "sha256": "2dfed92833c074c382055b0f47ecbb1779ffb7ef5f3df45acac57c1ab61c2144",
572
+ "language": "Jupyter",
573
+ "lines": 195,
574
+ "truncated": false,
575
+ "block": 5,
576
+ "row": 16615
577
+ },
578
+ {
579
+ "path": "notebooks/mouse_brain/broad_population/RankCorr_without_filtering.ipynb",
580
+ "sha256": "9c6e91f2fc3d953b066318e3ee5c4b7411d2bedb4d9d36dc6175c5e8be062915",
581
+ "language": "Jupyter",
582
+ "lines": 212,
583
+ "truncated": false,
584
+ "block": 5,
585
+ "row": 16622
586
+ },
587
+ {
588
+ "path": "notebooks/mouse_brain/broad_population/XGBoost.ipynb",
589
+ "sha256": "4577529f4f0bf44169e02f2ad13861070d1e7cffe2b84fffc741802034b5e124",
590
+ "language": "Jupyter",
591
+ "lines": 204,
592
+ "truncated": false,
593
+ "block": 5,
594
+ "row": 16623
595
+ },
596
+ {
597
+ "path": "notebooks/mouse_brain/broad_population/scGeneFit_without_filtering.ipynb",
598
+ "sha256": "edae581172e300bcdce83946665fc204827bac81f94400464e811ab90d05259c",
599
+ "language": "Jupyter",
600
+ "lines": 201,
601
+ "truncated": false,
602
+ "block": 5,
603
+ "row": 16636
604
+ },
605
+ {
606
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/.ipynb_checkpoints/BRF-checkpoint.ipynb",
607
+ "sha256": "5ef26eac92be52ea1d7c8cb971bb73e069cd4902ab9627a90675e292665c27aa",
608
+ "language": "Jupyter",
609
+ "lines": 207,
610
+ "truncated": false,
611
+ "block": 5,
612
+ "row": 16714
613
+ },
614
+ {
615
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/.ipynb_checkpoints/DNN-checkpoint.ipynb",
616
+ "sha256": "a79dcdbf740bd78894d1064c70734163434590aac1ec7951bb00b3356c0903f5",
617
+ "language": "Jupyter",
618
+ "lines": 253,
619
+ "truncated": false,
620
+ "block": 5,
621
+ "row": 17011
622
+ },
623
+ {
624
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/.ipynb_checkpoints/RF-checkpoint.ipynb",
625
+ "sha256": "3d0f0d5a8b29bccc8ea97229c5e2726229601bae45fe8d43a8c6c4a8b9753ae9",
626
+ "language": "Jupyter",
627
+ "lines": 207,
628
+ "truncated": false,
629
+ "block": 5,
630
+ "row": 16710
631
+ },
632
+ {
633
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/.ipynb_checkpoints/RankCorr_without_filtering-checkpoint.ipynb",
634
+ "sha256": "5238b2802e4b7332c1d7bcd6c8457daa0622a117a1e8ddccebc3188bc677f43b",
635
+ "language": "Jupyter",
636
+ "lines": 224,
637
+ "truncated": false,
638
+ "block": 5,
639
+ "row": 16719
640
+ },
641
+ {
642
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/.ipynb_checkpoints/XGBoost-checkpoint.ipynb",
643
+ "sha256": "beb15bdcbb75089e8bdb150d1a5722810a9217c03e92537d716d275bba8aee25",
644
+ "language": "Jupyter",
645
+ "lines": 215,
646
+ "truncated": false,
647
+ "block": 5,
648
+ "row": 16715
649
+ },
650
+ {
651
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/.ipynb_checkpoints/scGeneFit_without_filtering-checkpoint.ipynb",
652
+ "sha256": "f34ad2cb86422833b84a046036658bcd0b695b9e3bb203cde85506075bfcdf9e",
653
+ "language": "Jupyter",
654
+ "lines": 213,
655
+ "truncated": false,
656
+ "block": 5,
657
+ "row": 16736
658
+ },
659
+ {
660
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/BRF.ipynb",
661
+ "sha256": "5ef26eac92be52ea1d7c8cb971bb73e069cd4902ab9627a90675e292665c27aa",
662
+ "language": "Jupyter",
663
+ "lines": 207,
664
+ "truncated": false,
665
+ "block": 5,
666
+ "row": 16714
667
+ },
668
+ {
669
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/DNN.ipynb",
670
+ "sha256": "a79dcdbf740bd78894d1064c70734163434590aac1ec7951bb00b3356c0903f5",
671
+ "language": "Jupyter",
672
+ "lines": 253,
673
+ "truncated": false,
674
+ "block": 5,
675
+ "row": 17011
676
+ },
677
+ {
678
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/RF.ipynb",
679
+ "sha256": "3d0f0d5a8b29bccc8ea97229c5e2726229601bae45fe8d43a8c6c4a8b9753ae9",
680
+ "language": "Jupyter",
681
+ "lines": 207,
682
+ "truncated": false,
683
+ "block": 5,
684
+ "row": 16710
685
+ },
686
+ {
687
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/RankCorr_without_filtering.ipynb",
688
+ "sha256": "5238b2802e4b7332c1d7bcd6c8457daa0622a117a1e8ddccebc3188bc677f43b",
689
+ "language": "Jupyter",
690
+ "lines": 224,
691
+ "truncated": false,
692
+ "block": 5,
693
+ "row": 16719
694
+ },
695
+ {
696
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/XGBoost.ipynb",
697
+ "sha256": "beb15bdcbb75089e8bdb150d1a5722810a9217c03e92537d716d275bba8aee25",
698
+ "language": "Jupyter",
699
+ "lines": 215,
700
+ "truncated": false,
701
+ "block": 5,
702
+ "row": 16715
703
+ },
704
+ {
705
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Astro/scGeneFit_without_filtering.ipynb",
706
+ "sha256": "f34ad2cb86422833b84a046036658bcd0b695b9e3bb203cde85506075bfcdf9e",
707
+ "language": "Jupyter",
708
+ "lines": 213,
709
+ "truncated": false,
710
+ "block": 5,
711
+ "row": 16736
712
+ },
713
+ {
714
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Ext/.ipynb_checkpoints/BRF-checkpoint.ipynb",
715
+ "sha256": "a1ec423a38f21f5933c01b1eae090f8474ff9bfe057971e0a9f391e4e39b1451",
716
+ "language": "Jupyter",
717
+ "lines": 222,
718
+ "truncated": false,
719
+ "block": 5,
720
+ "row": 16841
721
+ },
722
+ {
723
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Ext/.ipynb_checkpoints/DNN-checkpoint.ipynb",
724
+ "sha256": "723c020421f71674d6e3f3fab69082a19a4f370e1b3265a4d5234b1e2b547b73",
725
+ "language": "Jupyter",
726
+ "lines": 231,
727
+ "truncated": false,
728
+ "block": 5,
729
+ "row": 16838
730
+ },
731
+ {
732
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Ext/.ipynb_checkpoints/RF-checkpoint.ipynb",
733
+ "sha256": "c9b713e1d1765835ef5759227846a47c4029a2459a0d06e79661dbe548be4acb",
734
+ "language": "Jupyter",
735
+ "lines": 222,
736
+ "truncated": false,
737
+ "block": 5,
738
+ "row": 16837
739
+ },
740
+ {
741
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Ext/.ipynb_checkpoints/RankCorr_without_filtering-checkpoint.ipynb",
742
+ "sha256": "e92729bc15e1e41e6c819526b8722c4a7873735166a66672ac16f626f25a4c90",
743
+ "language": "Jupyter",
744
+ "lines": 239,
745
+ "truncated": false,
746
+ "block": 5,
747
+ "row": 16845
748
+ },
749
+ {
750
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Ext/.ipynb_checkpoints/XGBoost-checkpoint.ipynb",
751
+ "sha256": "7987c354d62ea31e93184be46e28da218214645d8679b8e793d3f2ccd7dcf7e5",
752
+ "language": "Jupyter",
753
+ "lines": 231,
754
+ "truncated": false,
755
+ "block": 5,
756
+ "row": 16846
757
+ },
758
+ {
759
+ "path": "notebooks/mouse_brain/for_each_subpopulation/Ext/.ipynb_checkpoints/scGeneFit_without_filtering-checkpoint.ipynb",
760
+ "sha256": "07ae0384e2a3b38fa34672eacccd2b1dcb14ebc9e7aff6915c1210469e6d98ad",
761
+ "language": "Jupyter",
762
+ "lines": 228,
763
+ "truncated": false,
764
+ "block": 5,
765
+ "row": 16854
766
+ }
767
+ ]
768
+ }
manifests/6c/zenodo__17100377.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:17100377",
4
+ "url": "https://doi.org/10.5281/zenodo.17100377",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "GBM_ML_virtual_screening.py",
13
+ "sha256": "e51d43a89524234f3531fb06fd63fb20882e365e6c9b2073c78a9966c42a21a3",
14
+ "language": "Python",
15
+ "lines": 172,
16
+ "truncated": false,
17
+ "block": 7,
18
+ "row": 460
19
+ }
20
+ ]
21
+ }
manifests/6c/zenodo__18344057.json ADDED
@@ -0,0 +1,1947 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:18344057",
4
+ "url": "https://doi.org/10.5281/zenodo.18344057",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "README.md",
13
+ "sha256": "09ff55c84fc852e93450f5cd6137cf4c1855cbb3d4d6ca4c2dd3bd199a0c5f86",
14
+ "language": "Text",
15
+ "lines": 15,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 9537
19
+ },
20
+ {
21
+ "path": "src/metrics/fix_coords.py",
22
+ "sha256": "cd55f620e0cdfe4283276d0612e16766e06f920a7de112915999f6ac5e5ff2a2",
23
+ "language": "Python",
24
+ "lines": 44,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 29475
28
+ },
29
+ {
30
+ "path": "src/metrics/gdt_ts.py",
31
+ "sha256": "38b35fdeda4d6bf9df31c73338ba1a6fa9f6dd3bd24b601686fe61e265fda8d1",
32
+ "language": "Python",
33
+ "lines": 22,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 22918
37
+ },
38
+ {
39
+ "path": "src/metrics/lddt.py",
40
+ "sha256": "505828d3bb7a4de767e92a36119960ad30cc0f7ebd9089b0bca70653807315dc",
41
+ "language": "Python",
42
+ "lines": 50,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 28564
46
+ },
47
+ {
48
+ "path": "src/metrics/rmsd.py",
49
+ "sha256": "65423f431a45cd432f9d5dd1956a2d8ab888d17670d86f0f96813c01dfab16c3",
50
+ "language": "Python",
51
+ "lines": 9,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 21340
55
+ },
56
+ {
57
+ "path": "src/metrics/tmscore.py",
58
+ "sha256": "93fe457ef0f073dc7b7268be3682b379902be3a84ed28ed3660a4ebad4cd220f",
59
+ "language": "Python",
60
+ "lines": 15,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 22149
64
+ },
65
+ {
66
+ "path": "src/models/ColabFold/generate_input.py",
67
+ "sha256": "6011c85ab9e5116e05d888fbee00b1140d3f145e23099675e5a0abb475c8b4b0",
68
+ "language": "Python",
69
+ "lines": 26,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 24225
73
+ },
74
+ {
75
+ "path": "src/models/ColabFold/get_coords.py",
76
+ "sha256": "6a3333f9a88c49d087c1a411c0c29507da6dfabcf02255713d8dc770d456c261",
77
+ "language": "Python",
78
+ "lines": 42,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 30775
82
+ },
83
+ {
84
+ "path": "src/models/ColabFold/run_nothing.sh",
85
+ "sha256": "8ea11346bab60cc9f3c46b555ab67f22259c2b7548aae1791c8271abb76e3d5d",
86
+ "language": "Shell",
87
+ "lines": 6,
88
+ "truncated": false,
89
+ "block": 8,
90
+ "row": 6647
91
+ },
92
+ {
93
+ "path": "src/models/QAOA/dataloader.py",
94
+ "sha256": "3f223fb50509d2b3f9632dc126ede893a2cd237bf4a412caffe14cdbeb938714",
95
+ "language": "Python",
96
+ "lines": 50,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 28666
100
+ },
101
+ {
102
+ "path": "src/models/QAOA/get_time_memory.py",
103
+ "sha256": "feaa4a50ce3146433d1ed772e2ac155432431f7a7dc058bf800d024eeccfd883",
104
+ "language": "Python",
105
+ "lines": 41,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 25762
109
+ },
110
+ {
111
+ "path": "src/models/QAOA/model.py",
112
+ "sha256": "1aa96155e004baf0d848df20421619a2d3886dedcda7886cff7f1d8e7a805b42",
113
+ "language": "Python",
114
+ "lines": 53,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 30968
118
+ },
119
+ {
120
+ "path": "src/models/QAOA/run.py",
121
+ "sha256": "06515705910060d148c8f40b8c1ef2f3902e1de37749583836d1a01e9b17774d",
122
+ "language": "Python",
123
+ "lines": 37,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 25147
127
+ },
128
+ {
129
+ "path": "src/models/QNN/AnyRYGate.py",
130
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
131
+ "language": "Python",
132
+ "lines": 124,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 40157
136
+ },
137
+ {
138
+ "path": "src/models/QNN/config.py",
139
+ "sha256": "ef097575a3670e505c813c5faeefce27699aa6eed1971d0180d75d11c994c4cb",
140
+ "language": "Python",
141
+ "lines": 97,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 36579
145
+ },
146
+ {
147
+ "path": "src/models/QNN/dataloader.py",
148
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
149
+ "language": "Python",
150
+ "lines": 75,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 34030
154
+ },
155
+ {
156
+ "path": "src/models/QNN/get_time_memory.py",
157
+ "sha256": "58c6a442936c86e7bf84c0adefb61d6fd4c01d4fed44c46c69ec8400c3bae949",
158
+ "language": "Python",
159
+ "lines": 49,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 28731
163
+ },
164
+ {
165
+ "path": "src/models/QNN/model.py",
166
+ "sha256": "4671cc2f8c2a98a6467c076cfb2aea797de459f1634889fb56d3d2b7117861c5",
167
+ "language": "Python",
168
+ "lines": 375,
169
+ "truncated": false,
170
+ "block": 7,
171
+ "row": 6076
172
+ },
173
+ {
174
+ "path": "src/models/QNN/predict.py",
175
+ "sha256": "ca295b51d9a9799613d361bca04a7cad5a710296ff476bb34e6b76a8e5beb315",
176
+ "language": "Python",
177
+ "lines": 32,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 25725
181
+ },
182
+ {
183
+ "path": "src/models/QNN/preprocess.py",
184
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
185
+ "language": "Python",
186
+ "lines": 67,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 34933
190
+ },
191
+ {
192
+ "path": "src/models/QNN/train.py",
193
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
194
+ "language": "Python",
195
+ "lines": 77,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 34219
199
+ },
200
+ {
201
+ "path": "src/models/QNN/train_kfold0.sh",
202
+ "sha256": "bf7c925d6b37f861f7da9839693791d6e9ed104ffe547c43c81ff472e973ab48",
203
+ "language": "Shell",
204
+ "lines": 2,
205
+ "truncated": false,
206
+ "block": 8,
207
+ "row": 6482
208
+ },
209
+ {
210
+ "path": "src/models/QNN/train_kfold1.sh",
211
+ "sha256": "9180a4bfe19778868b9e5183c24f46447bb0e6475f09948d4244f68dd73ca082",
212
+ "language": "Shell",
213
+ "lines": 2,
214
+ "truncated": false,
215
+ "block": 8,
216
+ "row": 6480
217
+ },
218
+ {
219
+ "path": "src/models/QNN/train_kfold2.sh",
220
+ "sha256": "8ade5e70be0cdb623af0c95d213fb91685a5c92be04fcd09d72ec5d92e908cd3",
221
+ "language": "Shell",
222
+ "lines": 2,
223
+ "truncated": false,
224
+ "block": 8,
225
+ "row": 6479
226
+ },
227
+ {
228
+ "path": "src/models/QNN/train_kfold3.sh",
229
+ "sha256": "9b7b3b2fea608e70469872bd295fd129f6fd61f318f89adedcf4bf1560a96105",
230
+ "language": "Shell",
231
+ "lines": 2,
232
+ "truncated": false,
233
+ "block": 8,
234
+ "row": 6481
235
+ },
236
+ {
237
+ "path": "src/models/QNN/train_kfold4.sh",
238
+ "sha256": "2e6c89de05bf854bad111600ab0bcc85568c2aadf84a7453ef9b45dbaa55feff",
239
+ "language": "Shell",
240
+ "lines": 2,
241
+ "truncated": false,
242
+ "block": 8,
243
+ "row": 6477
244
+ },
245
+ {
246
+ "path": "src/models/VQE/dataloader.py",
247
+ "sha256": "3f223fb50509d2b3f9632dc126ede893a2cd237bf4a412caffe14cdbeb938714",
248
+ "language": "Python",
249
+ "lines": 50,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 28666
253
+ },
254
+ {
255
+ "path": "src/models/VQE/get_time_memory.py",
256
+ "sha256": "feaa4a50ce3146433d1ed772e2ac155432431f7a7dc058bf800d024eeccfd883",
257
+ "language": "Python",
258
+ "lines": 41,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 25762
262
+ },
263
+ {
264
+ "path": "src/models/VQE/model.py",
265
+ "sha256": "b9bb5ebfb485c116a114f80b23d59c6f92ef470c2af332a7a9078dea8f865c1a",
266
+ "language": "Python",
267
+ "lines": 55,
268
+ "truncated": false,
269
+ "block": 6,
270
+ "row": 31274
271
+ },
272
+ {
273
+ "path": "src/models/VQE/run.py",
274
+ "sha256": "38436218f7399da96d88722ba499c7f7b3e061ef99c3d08a6364326cb4d5484f",
275
+ "language": "Python",
276
+ "lines": 36,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 25126
280
+ },
281
+ {
282
+ "path": "src/predict/ablation_experiment/analysis.ipynb",
283
+ "sha256": "efba0ae04e54b1b4098dddbda9139fb91e0a91a62e10b4338bf7d4a6d82a367f",
284
+ "language": "Jupyter",
285
+ "lines": 156,
286
+ "truncated": false,
287
+ "block": 5,
288
+ "row": 17336
289
+ },
290
+ {
291
+ "path": "src/predict/ablation_experiment/full/AnyRYGate.py",
292
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
293
+ "language": "Python",
294
+ "lines": 124,
295
+ "truncated": false,
296
+ "block": 6,
297
+ "row": 40157
298
+ },
299
+ {
300
+ "path": "src/predict/ablation_experiment/full/config.py",
301
+ "sha256": "64ea1ac8a78d5329fb3c6e40ae4b4896c995dc190f15d7abb0a1bb059cb0144b",
302
+ "language": "Python",
303
+ "lines": 100,
304
+ "truncated": false,
305
+ "block": 6,
306
+ "row": 36929
307
+ },
308
+ {
309
+ "path": "src/predict/ablation_experiment/full/dataloader.py",
310
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
311
+ "language": "Python",
312
+ "lines": 75,
313
+ "truncated": false,
314
+ "block": 6,
315
+ "row": 34030
316
+ },
317
+ {
318
+ "path": "src/predict/ablation_experiment/full/model.py",
319
+ "sha256": "1020899c44f73244e7580ebd6b62221a2a89288c1d93ab0c224a3e2802e444de",
320
+ "language": "Python",
321
+ "lines": 374,
322
+ "truncated": false,
323
+ "block": 7,
324
+ "row": 6050
325
+ },
326
+ {
327
+ "path": "src/predict/ablation_experiment/full/predict.py",
328
+ "sha256": "ca295b51d9a9799613d361bca04a7cad5a710296ff476bb34e6b76a8e5beb315",
329
+ "language": "Python",
330
+ "lines": 32,
331
+ "truncated": false,
332
+ "block": 6,
333
+ "row": 25725
334
+ },
335
+ {
336
+ "path": "src/predict/ablation_experiment/full/preprocess.py",
337
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
338
+ "language": "Python",
339
+ "lines": 67,
340
+ "truncated": false,
341
+ "block": 6,
342
+ "row": 34933
343
+ },
344
+ {
345
+ "path": "src/predict/ablation_experiment/full/train.py",
346
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
347
+ "language": "Python",
348
+ "lines": 77,
349
+ "truncated": false,
350
+ "block": 6,
351
+ "row": 34219
352
+ },
353
+ {
354
+ "path": "src/predict/ablation_experiment/full/train_kfold0.sh",
355
+ "sha256": "bf7c925d6b37f861f7da9839693791d6e9ed104ffe547c43c81ff472e973ab48",
356
+ "language": "Shell",
357
+ "lines": 2,
358
+ "truncated": false,
359
+ "block": 8,
360
+ "row": 6482
361
+ },
362
+ {
363
+ "path": "src/predict/ablation_experiment/full/train_kfold1.sh",
364
+ "sha256": "9180a4bfe19778868b9e5183c24f46447bb0e6475f09948d4244f68dd73ca082",
365
+ "language": "Shell",
366
+ "lines": 2,
367
+ "truncated": false,
368
+ "block": 8,
369
+ "row": 6480
370
+ },
371
+ {
372
+ "path": "src/predict/ablation_experiment/full/train_kfold2.sh",
373
+ "sha256": "8ade5e70be0cdb623af0c95d213fb91685a5c92be04fcd09d72ec5d92e908cd3",
374
+ "language": "Shell",
375
+ "lines": 2,
376
+ "truncated": false,
377
+ "block": 8,
378
+ "row": 6479
379
+ },
380
+ {
381
+ "path": "src/predict/ablation_experiment/full/train_kfold3.sh",
382
+ "sha256": "9b7b3b2fea608e70469872bd295fd129f6fd61f318f89adedcf4bf1560a96105",
383
+ "language": "Shell",
384
+ "lines": 2,
385
+ "truncated": false,
386
+ "block": 8,
387
+ "row": 6481
388
+ },
389
+ {
390
+ "path": "src/predict/ablation_experiment/full/train_kfold4.sh",
391
+ "sha256": "2e6c89de05bf854bad111600ab0bcc85568c2aadf84a7453ef9b45dbaa55feff",
392
+ "language": "Shell",
393
+ "lines": 2,
394
+ "truncated": false,
395
+ "block": 8,
396
+ "row": 6477
397
+ },
398
+ {
399
+ "path": "src/predict/ablation_experiment/metrics/fix_coords.py",
400
+ "sha256": "fab9900642936d43a059c95aab0584e37c3bbde7c2d4fb0a7bac8348e67d9fd4",
401
+ "language": "Python",
402
+ "lines": 45,
403
+ "truncated": false,
404
+ "block": 6,
405
+ "row": 29518
406
+ },
407
+ {
408
+ "path": "src/predict/ablation_experiment/metrics/gdt_ts.py",
409
+ "sha256": "38b35fdeda4d6bf9df31c73338ba1a6fa9f6dd3bd24b601686fe61e265fda8d1",
410
+ "language": "Python",
411
+ "lines": 22,
412
+ "truncated": false,
413
+ "block": 6,
414
+ "row": 22918
415
+ },
416
+ {
417
+ "path": "src/predict/ablation_experiment/metrics/lddt.py",
418
+ "sha256": "505828d3bb7a4de767e92a36119960ad30cc0f7ebd9089b0bca70653807315dc",
419
+ "language": "Python",
420
+ "lines": 50,
421
+ "truncated": false,
422
+ "block": 6,
423
+ "row": 28564
424
+ },
425
+ {
426
+ "path": "src/predict/ablation_experiment/metrics/rmsd.py",
427
+ "sha256": "65423f431a45cd432f9d5dd1956a2d8ab888d17670d86f0f96813c01dfab16c3",
428
+ "language": "Python",
429
+ "lines": 9,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 21340
433
+ },
434
+ {
435
+ "path": "src/predict/ablation_experiment/metrics/tmscore.py",
436
+ "sha256": "93fe457ef0f073dc7b7268be3682b379902be3a84ed28ed3660a4ebad4cd220f",
437
+ "language": "Python",
438
+ "lines": 15,
439
+ "truncated": false,
440
+ "block": 6,
441
+ "row": 22149
442
+ },
443
+ {
444
+ "path": "src/predict/ablation_experiment/no_QCSE/AnyRYGate.py",
445
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
446
+ "language": "Python",
447
+ "lines": 124,
448
+ "truncated": false,
449
+ "block": 6,
450
+ "row": 40157
451
+ },
452
+ {
453
+ "path": "src/predict/ablation_experiment/no_QCSE/config.py",
454
+ "sha256": "86e770729316b925b56f301695227b778af1b4917ef6e9add8a3fc5b57734d6c",
455
+ "language": "Python",
456
+ "lines": 97,
457
+ "truncated": false,
458
+ "block": 6,
459
+ "row": 36584
460
+ },
461
+ {
462
+ "path": "src/predict/ablation_experiment/no_QCSE/dataloader.py",
463
+ "sha256": "e34b9ee2672644eadd6e46056137854738df628434a3431a9649f5155ef3feb8",
464
+ "language": "Python",
465
+ "lines": 75,
466
+ "truncated": false,
467
+ "block": 6,
468
+ "row": 34043
469
+ },
470
+ {
471
+ "path": "src/predict/ablation_experiment/no_QCSE/model.py",
472
+ "sha256": "9559475b2ecf1af9aa9ad4ebf1ed29807c2cd597a7aa61504e4151ba8e0c5637",
473
+ "language": "Python",
474
+ "lines": 342,
475
+ "truncated": false,
476
+ "block": 7,
477
+ "row": 5407
478
+ },
479
+ {
480
+ "path": "src/predict/ablation_experiment/no_QCSE/predict.py",
481
+ "sha256": "60253f4c9f1ad97757e61149713e8dea2abb3a6449d3915d089375fcfe73ebc4",
482
+ "language": "Python",
483
+ "lines": 31,
484
+ "truncated": false,
485
+ "block": 6,
486
+ "row": 25380
487
+ },
488
+ {
489
+ "path": "src/predict/ablation_experiment/no_QCSE/preprocess.py",
490
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
491
+ "language": "Python",
492
+ "lines": 67,
493
+ "truncated": false,
494
+ "block": 6,
495
+ "row": 34933
496
+ },
497
+ {
498
+ "path": "src/predict/ablation_experiment/no_QCSE/train.py",
499
+ "sha256": "8b623e760e3a3bdc43eda116356e92a7a61037a6cab888865b6ae2539f0c98e6",
500
+ "language": "Python",
501
+ "lines": 78,
502
+ "truncated": false,
503
+ "block": 6,
504
+ "row": 34384
505
+ },
506
+ {
507
+ "path": "src/predict/ablation_experiment/no_QCSE/train_kfold0.sh",
508
+ "sha256": "8952dbb6f34fff3dcbe21b3463183b090455602210398018f3babf55d199046c",
509
+ "language": "Shell",
510
+ "lines": 2,
511
+ "truncated": false,
512
+ "block": 8,
513
+ "row": 6497
514
+ },
515
+ {
516
+ "path": "src/predict/ablation_experiment/no_QCSE/train_kfold1.sh",
517
+ "sha256": "b30e0c68a832ac28e87eb5d2e3aeafd20316271f4995df77cac247d45f4358d5",
518
+ "language": "Shell",
519
+ "lines": 2,
520
+ "truncated": false,
521
+ "block": 8,
522
+ "row": 6498
523
+ },
524
+ {
525
+ "path": "src/predict/ablation_experiment/no_QCSE/train_kfold2.sh",
526
+ "sha256": "ceeaf26035ea7e6ab3768b6906092a0302431fb3003b5bf0cc4ae1b8aa53ebef",
527
+ "language": "Shell",
528
+ "lines": 2,
529
+ "truncated": false,
530
+ "block": 8,
531
+ "row": 6499
532
+ },
533
+ {
534
+ "path": "src/predict/ablation_experiment/no_QCSE/train_kfold3.sh",
535
+ "sha256": "80e0f0fb1df28f4053ba00cfb0bfe00cf7f2f0b46d0fffcb54d80dca43f33265",
536
+ "language": "Shell",
537
+ "lines": 2,
538
+ "truncated": false,
539
+ "block": 8,
540
+ "row": 6496
541
+ },
542
+ {
543
+ "path": "src/predict/ablation_experiment/no_QCSE/train_kfold4.sh",
544
+ "sha256": "295464e9e567028bf4988db6d262730e8d9f9188042f16c0240275f9166cc3f1",
545
+ "language": "Shell",
546
+ "lines": 2,
547
+ "truncated": false,
548
+ "block": 8,
549
+ "row": 6492
550
+ },
551
+ {
552
+ "path": "src/predict/ablation_experiment/no_QIRE/AnyRYGate.py",
553
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
554
+ "language": "Python",
555
+ "lines": 124,
556
+ "truncated": false,
557
+ "block": 6,
558
+ "row": 40157
559
+ },
560
+ {
561
+ "path": "src/predict/ablation_experiment/no_QIRE/config.py",
562
+ "sha256": "86e770729316b925b56f301695227b778af1b4917ef6e9add8a3fc5b57734d6c",
563
+ "language": "Python",
564
+ "lines": 97,
565
+ "truncated": false,
566
+ "block": 6,
567
+ "row": 36584
568
+ },
569
+ {
570
+ "path": "src/predict/ablation_experiment/no_QIRE/dataloader.py",
571
+ "sha256": "e34b9ee2672644eadd6e46056137854738df628434a3431a9649f5155ef3feb8",
572
+ "language": "Python",
573
+ "lines": 75,
574
+ "truncated": false,
575
+ "block": 6,
576
+ "row": 34043
577
+ },
578
+ {
579
+ "path": "src/predict/ablation_experiment/no_QIRE/model.py",
580
+ "sha256": "55de2cf976e1cac32c2cd261c8389a701735d0f65c3146015e1348c6dfda737d",
581
+ "language": "Python",
582
+ "lines": 275,
583
+ "truncated": false,
584
+ "block": 7,
585
+ "row": 2742
586
+ },
587
+ {
588
+ "path": "src/predict/ablation_experiment/no_QIRE/predict.py",
589
+ "sha256": "2039da333bb4f6d1e8e482dd12cbe6f141d156a30afe754a3322c0a763714d91",
590
+ "language": "Python",
591
+ "lines": 31,
592
+ "truncated": false,
593
+ "block": 6,
594
+ "row": 25461
595
+ },
596
+ {
597
+ "path": "src/predict/ablation_experiment/no_QIRE/preprocess.py",
598
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
599
+ "language": "Python",
600
+ "lines": 67,
601
+ "truncated": false,
602
+ "block": 6,
603
+ "row": 34933
604
+ },
605
+ {
606
+ "path": "src/predict/ablation_experiment/no_QIRE/train.py",
607
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
608
+ "language": "Python",
609
+ "lines": 77,
610
+ "truncated": false,
611
+ "block": 6,
612
+ "row": 34219
613
+ },
614
+ {
615
+ "path": "src/predict/ablation_experiment/no_QIRE/train_kfold0.sh",
616
+ "sha256": "8952dbb6f34fff3dcbe21b3463183b090455602210398018f3babf55d199046c",
617
+ "language": "Shell",
618
+ "lines": 2,
619
+ "truncated": false,
620
+ "block": 8,
621
+ "row": 6497
622
+ },
623
+ {
624
+ "path": "src/predict/ablation_experiment/no_QIRE/train_kfold1.sh",
625
+ "sha256": "b30e0c68a832ac28e87eb5d2e3aeafd20316271f4995df77cac247d45f4358d5",
626
+ "language": "Shell",
627
+ "lines": 2,
628
+ "truncated": false,
629
+ "block": 8,
630
+ "row": 6498
631
+ },
632
+ {
633
+ "path": "src/predict/ablation_experiment/no_QIRE/train_kfold2.sh",
634
+ "sha256": "ceeaf26035ea7e6ab3768b6906092a0302431fb3003b5bf0cc4ae1b8aa53ebef",
635
+ "language": "Shell",
636
+ "lines": 2,
637
+ "truncated": false,
638
+ "block": 8,
639
+ "row": 6499
640
+ },
641
+ {
642
+ "path": "src/predict/ablation_experiment/no_QIRE/train_kfold3.sh",
643
+ "sha256": "80e0f0fb1df28f4053ba00cfb0bfe00cf7f2f0b46d0fffcb54d80dca43f33265",
644
+ "language": "Shell",
645
+ "lines": 2,
646
+ "truncated": false,
647
+ "block": 8,
648
+ "row": 6496
649
+ },
650
+ {
651
+ "path": "src/predict/ablation_experiment/no_QIRE/train_kfold4.sh",
652
+ "sha256": "295464e9e567028bf4988db6d262730e8d9f9188042f16c0240275f9166cc3f1",
653
+ "language": "Shell",
654
+ "lines": 2,
655
+ "truncated": false,
656
+ "block": 8,
657
+ "row": 6492
658
+ },
659
+ {
660
+ "path": "src/predict/ablation_experiment/no_both/AnyRYGate.py",
661
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
662
+ "language": "Python",
663
+ "lines": 124,
664
+ "truncated": false,
665
+ "block": 6,
666
+ "row": 40157
667
+ },
668
+ {
669
+ "path": "src/predict/ablation_experiment/no_both/config.py",
670
+ "sha256": "86e770729316b925b56f301695227b778af1b4917ef6e9add8a3fc5b57734d6c",
671
+ "language": "Python",
672
+ "lines": 97,
673
+ "truncated": false,
674
+ "block": 6,
675
+ "row": 36584
676
+ },
677
+ {
678
+ "path": "src/predict/ablation_experiment/no_both/dataloader.py",
679
+ "sha256": "e34b9ee2672644eadd6e46056137854738df628434a3431a9649f5155ef3feb8",
680
+ "language": "Python",
681
+ "lines": 75,
682
+ "truncated": false,
683
+ "block": 6,
684
+ "row": 34043
685
+ },
686
+ {
687
+ "path": "src/predict/ablation_experiment/no_both/model.py",
688
+ "sha256": "d771425d7e064ae366bee9d3c868bf925085be310039e6514f91326a3a1a88ba",
689
+ "language": "Python",
690
+ "lines": 228,
691
+ "truncated": false,
692
+ "block": 7,
693
+ "row": 751
694
+ },
695
+ {
696
+ "path": "src/predict/ablation_experiment/no_both/predict.py",
697
+ "sha256": "60253f4c9f1ad97757e61149713e8dea2abb3a6449d3915d089375fcfe73ebc4",
698
+ "language": "Python",
699
+ "lines": 31,
700
+ "truncated": false,
701
+ "block": 6,
702
+ "row": 25380
703
+ },
704
+ {
705
+ "path": "src/predict/ablation_experiment/no_both/preprocess.py",
706
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
707
+ "language": "Python",
708
+ "lines": 67,
709
+ "truncated": false,
710
+ "block": 6,
711
+ "row": 34933
712
+ },
713
+ {
714
+ "path": "src/predict/ablation_experiment/no_both/train.py",
715
+ "sha256": "8b623e760e3a3bdc43eda116356e92a7a61037a6cab888865b6ae2539f0c98e6",
716
+ "language": "Python",
717
+ "lines": 78,
718
+ "truncated": false,
719
+ "block": 6,
720
+ "row": 34384
721
+ },
722
+ {
723
+ "path": "src/predict/ablation_experiment/no_both/train_kfold0.sh",
724
+ "sha256": "8952dbb6f34fff3dcbe21b3463183b090455602210398018f3babf55d199046c",
725
+ "language": "Shell",
726
+ "lines": 2,
727
+ "truncated": false,
728
+ "block": 8,
729
+ "row": 6497
730
+ },
731
+ {
732
+ "path": "src/predict/ablation_experiment/no_both/train_kfold1.sh",
733
+ "sha256": "b30e0c68a832ac28e87eb5d2e3aeafd20316271f4995df77cac247d45f4358d5",
734
+ "language": "Shell",
735
+ "lines": 2,
736
+ "truncated": false,
737
+ "block": 8,
738
+ "row": 6498
739
+ },
740
+ {
741
+ "path": "src/predict/ablation_experiment/no_both/train_kfold2.sh",
742
+ "sha256": "ceeaf26035ea7e6ab3768b6906092a0302431fb3003b5bf0cc4ae1b8aa53ebef",
743
+ "language": "Shell",
744
+ "lines": 2,
745
+ "truncated": false,
746
+ "block": 8,
747
+ "row": 6499
748
+ },
749
+ {
750
+ "path": "src/predict/ablation_experiment/no_both/train_kfold3.sh",
751
+ "sha256": "80e0f0fb1df28f4053ba00cfb0bfe00cf7f2f0b46d0fffcb54d80dca43f33265",
752
+ "language": "Shell",
753
+ "lines": 2,
754
+ "truncated": false,
755
+ "block": 8,
756
+ "row": 6496
757
+ },
758
+ {
759
+ "path": "src/predict/ablation_experiment/no_both/train_kfold4.sh",
760
+ "sha256": "295464e9e567028bf4988db6d262730e8d9f9188042f16c0240275f9166cc3f1",
761
+ "language": "Shell",
762
+ "lines": 2,
763
+ "truncated": false,
764
+ "block": 8,
765
+ "row": 6492
766
+ },
767
+ {
768
+ "path": "src/predict/analysis_mj_matrix/QNN/AnyRYGate.py",
769
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
770
+ "language": "Python",
771
+ "lines": 124,
772
+ "truncated": false,
773
+ "block": 6,
774
+ "row": 40157
775
+ },
776
+ {
777
+ "path": "src/predict/analysis_mj_matrix/QNN/config.py",
778
+ "sha256": "32e038b29da1e0bc5356580e619f20542b695556d6142971eaaae40da68975b7",
779
+ "language": "Python",
780
+ "lines": 99,
781
+ "truncated": false,
782
+ "block": 6,
783
+ "row": 36832
784
+ },
785
+ {
786
+ "path": "src/predict/analysis_mj_matrix/QNN/dataloader.py",
787
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
788
+ "language": "Python",
789
+ "lines": 75,
790
+ "truncated": false,
791
+ "block": 6,
792
+ "row": 34030
793
+ },
794
+ {
795
+ "path": "src/predict/analysis_mj_matrix/QNN/get_qnn_interaction.py",
796
+ "sha256": "0eddb88c58f87eee05cbaabd293c2a2a15b0bf822e601377fdbd63f367720ab8",
797
+ "language": "Python",
798
+ "lines": 252,
799
+ "truncated": false,
800
+ "block": 7,
801
+ "row": 2062
802
+ },
803
+ {
804
+ "path": "src/predict/analysis_mj_matrix/QNN/predict.py",
805
+ "sha256": "ca295b51d9a9799613d361bca04a7cad5a710296ff476bb34e6b76a8e5beb315",
806
+ "language": "Python",
807
+ "lines": 32,
808
+ "truncated": false,
809
+ "block": 6,
810
+ "row": 25725
811
+ },
812
+ {
813
+ "path": "src/predict/analysis_mj_matrix/QNN/preprocess.py",
814
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
815
+ "language": "Python",
816
+ "lines": 67,
817
+ "truncated": false,
818
+ "block": 6,
819
+ "row": 34933
820
+ },
821
+ {
822
+ "path": "src/predict/analysis_mj_matrix/QNN/train.py",
823
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
824
+ "language": "Python",
825
+ "lines": 77,
826
+ "truncated": false,
827
+ "block": 6,
828
+ "row": 34219
829
+ },
830
+ {
831
+ "path": "src/predict/analysis_mj_matrix/QNN/train_kfold0.sh",
832
+ "sha256": "bf7c925d6b37f861f7da9839693791d6e9ed104ffe547c43c81ff472e973ab48",
833
+ "language": "Shell",
834
+ "lines": 2,
835
+ "truncated": false,
836
+ "block": 8,
837
+ "row": 6482
838
+ },
839
+ {
840
+ "path": "src/predict/analysis_mj_matrix/QNN/train_kfold1.sh",
841
+ "sha256": "9180a4bfe19778868b9e5183c24f46447bb0e6475f09948d4244f68dd73ca082",
842
+ "language": "Shell",
843
+ "lines": 2,
844
+ "truncated": false,
845
+ "block": 8,
846
+ "row": 6480
847
+ },
848
+ {
849
+ "path": "src/predict/analysis_mj_matrix/QNN/train_kfold2.sh",
850
+ "sha256": "8ade5e70be0cdb623af0c95d213fb91685a5c92be04fcd09d72ec5d92e908cd3",
851
+ "language": "Shell",
852
+ "lines": 2,
853
+ "truncated": false,
854
+ "block": 8,
855
+ "row": 6479
856
+ },
857
+ {
858
+ "path": "src/predict/analysis_mj_matrix/QNN/train_kfold3.sh",
859
+ "sha256": "9b7b3b2fea608e70469872bd295fd129f6fd61f318f89adedcf4bf1560a96105",
860
+ "language": "Shell",
861
+ "lines": 2,
862
+ "truncated": false,
863
+ "block": 8,
864
+ "row": 6481
865
+ },
866
+ {
867
+ "path": "src/predict/analysis_mj_matrix/QNN/train_kfold4.sh",
868
+ "sha256": "2e6c89de05bf854bad111600ab0bcc85568c2aadf84a7453ef9b45dbaa55feff",
869
+ "language": "Shell",
870
+ "lines": 2,
871
+ "truncated": false,
872
+ "block": 8,
873
+ "row": 6477
874
+ },
875
+ {
876
+ "path": "src/predict/analysis_mj_matrix/VQE/model.py",
877
+ "sha256": "006ec12c9d6c74e168c748636faf618bb517a48934dbb4ce87c7e0b79412a463",
878
+ "language": "Python",
879
+ "lines": 89,
880
+ "truncated": false,
881
+ "block": 6,
882
+ "row": 35304
883
+ },
884
+ {
885
+ "path": "src/predict/analysis_mj_matrix/analysis.ipynb",
886
+ "sha256": "98538bc4276ccb018253af65f5af1fb93db2a78378e5e2021ae941d2a292cc9a",
887
+ "language": "Jupyter",
888
+ "lines": 69,
889
+ "truncated": false,
890
+ "block": 5,
891
+ "row": 16243
892
+ },
893
+ {
894
+ "path": "src/predict/analysis_mj_matrix/extract_as_csv.py",
895
+ "sha256": "72b083a53490b19e23f1eddaa23fc3030cef34b7f24bb7813df2f09e5f63aa1c",
896
+ "language": "Python",
897
+ "lines": 76,
898
+ "truncated": false,
899
+ "block": 6,
900
+ "row": 33680
901
+ },
902
+ {
903
+ "path": "src/predict/draw_time_memory/draw.py",
904
+ "sha256": "747428a1a629c9fb2e8d6bb1f08b41483294ed0b66d299e288b74c4080d53612",
905
+ "language": "Python",
906
+ "lines": 132,
907
+ "truncated": false,
908
+ "block": 6,
909
+ "row": 38925
910
+ },
911
+ {
912
+ "path": "src/predict/fold_path/QNN/AnyRYGate.py",
913
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
914
+ "language": "Python",
915
+ "lines": 124,
916
+ "truncated": false,
917
+ "block": 6,
918
+ "row": 40157
919
+ },
920
+ {
921
+ "path": "src/predict/fold_path/QNN/compare_st2ref.py",
922
+ "sha256": "2838a7309cce61909ab1bc5e874e83b0035a009f129db127cd35659868e1dbca",
923
+ "language": "Python",
924
+ "lines": 146,
925
+ "truncated": false,
926
+ "block": 6,
927
+ "row": 40108
928
+ },
929
+ {
930
+ "path": "src/predict/fold_path/QNN/config.py",
931
+ "sha256": "ef097575a3670e505c813c5faeefce27699aa6eed1971d0180d75d11c994c4cb",
932
+ "language": "Python",
933
+ "lines": 97,
934
+ "truncated": false,
935
+ "block": 6,
936
+ "row": 36579
937
+ },
938
+ {
939
+ "path": "src/predict/fold_path/QNN/dataloader.py",
940
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
941
+ "language": "Python",
942
+ "lines": 75,
943
+ "truncated": false,
944
+ "block": 6,
945
+ "row": 34030
946
+ },
947
+ {
948
+ "path": "src/predict/fold_path/QNN/model.py",
949
+ "sha256": "4a4351ca579006d69bc100eee8ec336781955e71e48d2fa8735172ca9613635a",
950
+ "language": "Python",
951
+ "lines": 378,
952
+ "truncated": false,
953
+ "block": 7,
954
+ "row": 6175
955
+ },
956
+ {
957
+ "path": "src/predict/fold_path/QNN/pdb2npz.py",
958
+ "sha256": "099d463e1e34e9be10c7d4bc7361df166219da833c599a451f4a10366c413a22",
959
+ "language": "Python",
960
+ "lines": 22,
961
+ "truncated": false,
962
+ "block": 6,
963
+ "row": 23126
964
+ },
965
+ {
966
+ "path": "src/predict/fold_path/QNN/predict.py",
967
+ "sha256": "d5668efe1443629a5571bfaebb376268b976a1bae6eed98cba23b8a77af4d7af",
968
+ "language": "Python",
969
+ "lines": 40,
970
+ "truncated": false,
971
+ "block": 6,
972
+ "row": 26045
973
+ },
974
+ {
975
+ "path": "src/predict/fold_path/QNN/preprocess.py",
976
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
977
+ "language": "Python",
978
+ "lines": 67,
979
+ "truncated": false,
980
+ "block": 6,
981
+ "row": 34933
982
+ },
983
+ {
984
+ "path": "src/predict/fold_path/QNN/show_st.py",
985
+ "sha256": "f500ad0e00800f8bf0d8a3eccd05951bb48dace23b0bcf8b61245d3222394d21",
986
+ "language": "Python",
987
+ "lines": 49,
988
+ "truncated": false,
989
+ "block": 6,
990
+ "row": 27565
991
+ },
992
+ {
993
+ "path": "src/predict/fold_path/plot.py",
994
+ "sha256": "bcf1cabc5296a28319f531edd104f8b570288b12a5edd97aebe1b0b71212b3e4",
995
+ "language": "Python",
996
+ "lines": 38,
997
+ "truncated": false,
998
+ "block": 6,
999
+ "row": 27851
1000
+ },
1001
+ {
1002
+ "path": "src/predict/get-hop-parameter/QNN/AnyRYGate.py",
1003
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1004
+ "language": "Python",
1005
+ "lines": 124,
1006
+ "truncated": false,
1007
+ "block": 6,
1008
+ "row": 40157
1009
+ },
1010
+ {
1011
+ "path": "src/predict/get-hop-parameter/QNN/config.py",
1012
+ "sha256": "ef097575a3670e505c813c5faeefce27699aa6eed1971d0180d75d11c994c4cb",
1013
+ "language": "Python",
1014
+ "lines": 97,
1015
+ "truncated": false,
1016
+ "block": 6,
1017
+ "row": 36579
1018
+ },
1019
+ {
1020
+ "path": "src/predict/get-hop-parameter/QNN/dataloader.py",
1021
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
1022
+ "language": "Python",
1023
+ "lines": 75,
1024
+ "truncated": false,
1025
+ "block": 6,
1026
+ "row": 34030
1027
+ },
1028
+ {
1029
+ "path": "src/predict/get-hop-parameter/QNN/model.py",
1030
+ "sha256": "1020899c44f73244e7580ebd6b62221a2a89288c1d93ab0c224a3e2802e444de",
1031
+ "language": "Python",
1032
+ "lines": 374,
1033
+ "truncated": false,
1034
+ "block": 7,
1035
+ "row": 6050
1036
+ },
1037
+ {
1038
+ "path": "src/predict/get-hop-parameter/QNN/predict.py",
1039
+ "sha256": "ca295b51d9a9799613d361bca04a7cad5a710296ff476bb34e6b76a8e5beb315",
1040
+ "language": "Python",
1041
+ "lines": 32,
1042
+ "truncated": false,
1043
+ "block": 6,
1044
+ "row": 25725
1045
+ },
1046
+ {
1047
+ "path": "src/predict/get-hop-parameter/QNN/preprocess.py",
1048
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
1049
+ "language": "Python",
1050
+ "lines": 67,
1051
+ "truncated": false,
1052
+ "block": 6,
1053
+ "row": 34933
1054
+ },
1055
+ {
1056
+ "path": "src/predict/get-hop-parameter/QNN/run.py",
1057
+ "sha256": "47844a657b0d43356d140a6e0ce428597308ba2982ee5b9945fd74bbd2f905ef",
1058
+ "language": "Python",
1059
+ "lines": 30,
1060
+ "truncated": false,
1061
+ "block": 6,
1062
+ "row": 25063
1063
+ },
1064
+ {
1065
+ "path": "src/predict/get-hop-parameter/QNN/train.py",
1066
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
1067
+ "language": "Python",
1068
+ "lines": 77,
1069
+ "truncated": false,
1070
+ "block": 6,
1071
+ "row": 34219
1072
+ },
1073
+ {
1074
+ "path": "src/predict/get-hop-parameter/QNN/train_kfold0.sh",
1075
+ "sha256": "bf7c925d6b37f861f7da9839693791d6e9ed104ffe547c43c81ff472e973ab48",
1076
+ "language": "Shell",
1077
+ "lines": 2,
1078
+ "truncated": false,
1079
+ "block": 8,
1080
+ "row": 6482
1081
+ },
1082
+ {
1083
+ "path": "src/predict/get-hop-parameter/QNN/train_kfold1.sh",
1084
+ "sha256": "9180a4bfe19778868b9e5183c24f46447bb0e6475f09948d4244f68dd73ca082",
1085
+ "language": "Shell",
1086
+ "lines": 2,
1087
+ "truncated": false,
1088
+ "block": 8,
1089
+ "row": 6480
1090
+ },
1091
+ {
1092
+ "path": "src/predict/get-hop-parameter/QNN/train_kfold2.sh",
1093
+ "sha256": "8ade5e70be0cdb623af0c95d213fb91685a5c92be04fcd09d72ec5d92e908cd3",
1094
+ "language": "Shell",
1095
+ "lines": 2,
1096
+ "truncated": false,
1097
+ "block": 8,
1098
+ "row": 6479
1099
+ },
1100
+ {
1101
+ "path": "src/predict/get-hop-parameter/QNN/train_kfold3.sh",
1102
+ "sha256": "9b7b3b2fea608e70469872bd295fd129f6fd61f318f89adedcf4bf1560a96105",
1103
+ "language": "Shell",
1104
+ "lines": 2,
1105
+ "truncated": false,
1106
+ "block": 8,
1107
+ "row": 6481
1108
+ },
1109
+ {
1110
+ "path": "src/predict/get-hop-parameter/QNN/train_kfold4.sh",
1111
+ "sha256": "2e6c89de05bf854bad111600ab0bcc85568c2aadf84a7453ef9b45dbaa55feff",
1112
+ "language": "Shell",
1113
+ "lines": 2,
1114
+ "truncated": false,
1115
+ "block": 8,
1116
+ "row": 6477
1117
+ },
1118
+ {
1119
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/AnyRYGate.py",
1120
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1121
+ "language": "Python",
1122
+ "lines": 124,
1123
+ "truncated": false,
1124
+ "block": 6,
1125
+ "row": 40157
1126
+ },
1127
+ {
1128
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/combine_chunk.py",
1129
+ "sha256": "389fb88499df4292036f5a21963914b64307e4669ea8bfcaa6ac5159c928b697",
1130
+ "language": "Python",
1131
+ "lines": 15,
1132
+ "truncated": false,
1133
+ "block": 6,
1134
+ "row": 22208
1135
+ },
1136
+ {
1137
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/compare_st2ref.py",
1138
+ "sha256": "2838a7309cce61909ab1bc5e874e83b0035a009f129db127cd35659868e1dbca",
1139
+ "language": "Python",
1140
+ "lines": 146,
1141
+ "truncated": false,
1142
+ "block": 6,
1143
+ "row": 40108
1144
+ },
1145
+ {
1146
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/config.py",
1147
+ "sha256": "005e69c653fb0c1932b0418c0a66fa607611747ad7e590792da3c9ee57e31c63",
1148
+ "language": "Python",
1149
+ "lines": 99,
1150
+ "truncated": false,
1151
+ "block": 6,
1152
+ "row": 36826
1153
+ },
1154
+ {
1155
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/dataloader.py",
1156
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
1157
+ "language": "Python",
1158
+ "lines": 75,
1159
+ "truncated": false,
1160
+ "block": 6,
1161
+ "row": 34030
1162
+ },
1163
+ {
1164
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/model.py",
1165
+ "sha256": "8ee78ff6f3e415e941af4db1f3ba8753ea322a5acf1b7f6866c7f002d965609d",
1166
+ "language": "Python",
1167
+ "lines": 396,
1168
+ "truncated": false,
1169
+ "block": 7,
1170
+ "row": 6781
1171
+ },
1172
+ {
1173
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/predict.py",
1174
+ "sha256": "769ce6617081e9b7e1c0b453e332689bc8aa7cfd9539536ff15a7eab611b0f4d",
1175
+ "language": "Python",
1176
+ "lines": 47,
1177
+ "truncated": false,
1178
+ "block": 6,
1179
+ "row": 28029
1180
+ },
1181
+ {
1182
+ "path": "src/predict/interaction_pair_importance_in_different_hop/QNN/preprocess.py",
1183
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
1184
+ "language": "Python",
1185
+ "lines": 67,
1186
+ "truncated": false,
1187
+ "block": 6,
1188
+ "row": 34933
1189
+ },
1190
+ {
1191
+ "path": "src/predict/interaction_pair_importance_in_different_hop/analysis.ipynb",
1192
+ "sha256": "95c4226970de5962a1cf5e28818d6c81040546c688817ed151b124fb00f60ff0",
1193
+ "language": "Jupyter",
1194
+ "lines": 206,
1195
+ "truncated": false,
1196
+ "block": 5,
1197
+ "row": 17067
1198
+ },
1199
+ {
1200
+ "path": "src/predict/msa/make_fasta.py",
1201
+ "sha256": "1222601483ed47edaa5cc168bb8bfe186d351b883eac3074097549206f25d481",
1202
+ "language": "Python",
1203
+ "lines": 34,
1204
+ "truncated": false,
1205
+ "block": 6,
1206
+ "row": 24626
1207
+ },
1208
+ {
1209
+ "path": "src/predict/msa/run_msa.sh",
1210
+ "sha256": "7a4e433d6ce082af7522d2488d8d276081df99d0c72a881f16efa2e768bb8e89",
1211
+ "language": "Shell",
1212
+ "lines": 7,
1213
+ "truncated": false,
1214
+ "block": 8,
1215
+ "row": 6521
1216
+ },
1217
+ {
1218
+ "path": "src/predict/msa/statics.py",
1219
+ "sha256": "936dc479e9b58e66ae50700ea19c1ab884b4f7f5fe1db4bf7cfb7109763feddb",
1220
+ "language": "Python",
1221
+ "lines": 101,
1222
+ "truncated": false,
1223
+ "block": 6,
1224
+ "row": 35521
1225
+ },
1226
+ {
1227
+ "path": "src/predict/open_interaction_number_with_different_results/AnyRYGate.py",
1228
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1229
+ "language": "Python",
1230
+ "lines": 124,
1231
+ "truncated": false,
1232
+ "block": 6,
1233
+ "row": 40157
1234
+ },
1235
+ {
1236
+ "path": "src/predict/open_interaction_number_with_different_results/analysis.py",
1237
+ "sha256": "b30fa244cf5b28a79910a0a3ec7ef06aacbbaf6639e86dbb15e7f5a9b091d4f5",
1238
+ "language": "Python",
1239
+ "lines": 45,
1240
+ "truncated": false,
1241
+ "block": 6,
1242
+ "row": 29033
1243
+ },
1244
+ {
1245
+ "path": "src/predict/open_interaction_number_with_different_results/compute_metrics_and_select_case.py",
1246
+ "sha256": "728cdd7ccfae82e3868e928907c599fad376ae8b9867876e83c77bb0525d86df",
1247
+ "language": "Python",
1248
+ "lines": 1,
1249
+ "truncated": false,
1250
+ "block": 6,
1251
+ "row": 20203
1252
+ },
1253
+ {
1254
+ "path": "src/predict/open_interaction_number_with_different_results/config.py",
1255
+ "sha256": "ef097575a3670e505c813c5faeefce27699aa6eed1971d0180d75d11c994c4cb",
1256
+ "language": "Python",
1257
+ "lines": 97,
1258
+ "truncated": false,
1259
+ "block": 6,
1260
+ "row": 36579
1261
+ },
1262
+ {
1263
+ "path": "src/predict/open_interaction_number_with_different_results/dataloader.py",
1264
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
1265
+ "language": "Python",
1266
+ "lines": 75,
1267
+ "truncated": false,
1268
+ "block": 6,
1269
+ "row": 34030
1270
+ },
1271
+ {
1272
+ "path": "src/predict/open_interaction_number_with_different_results/metrics/fix_coords.py",
1273
+ "sha256": "cd55f620e0cdfe4283276d0612e16766e06f920a7de112915999f6ac5e5ff2a2",
1274
+ "language": "Python",
1275
+ "lines": 44,
1276
+ "truncated": false,
1277
+ "block": 6,
1278
+ "row": 29475
1279
+ },
1280
+ {
1281
+ "path": "src/predict/open_interaction_number_with_different_results/metrics/gdt_ts.py",
1282
+ "sha256": "38b35fdeda4d6bf9df31c73338ba1a6fa9f6dd3bd24b601686fe61e265fda8d1",
1283
+ "language": "Python",
1284
+ "lines": 22,
1285
+ "truncated": false,
1286
+ "block": 6,
1287
+ "row": 22918
1288
+ },
1289
+ {
1290
+ "path": "src/predict/open_interaction_number_with_different_results/metrics/lddt.py",
1291
+ "sha256": "505828d3bb7a4de767e92a36119960ad30cc0f7ebd9089b0bca70653807315dc",
1292
+ "language": "Python",
1293
+ "lines": 50,
1294
+ "truncated": false,
1295
+ "block": 6,
1296
+ "row": 28564
1297
+ },
1298
+ {
1299
+ "path": "src/predict/open_interaction_number_with_different_results/metrics/rmsd.py",
1300
+ "sha256": "65423f431a45cd432f9d5dd1956a2d8ab888d17670d86f0f96813c01dfab16c3",
1301
+ "language": "Python",
1302
+ "lines": 9,
1303
+ "truncated": false,
1304
+ "block": 6,
1305
+ "row": 21340
1306
+ },
1307
+ {
1308
+ "path": "src/predict/open_interaction_number_with_different_results/metrics/tmscore.py",
1309
+ "sha256": "93fe457ef0f073dc7b7268be3682b379902be3a84ed28ed3660a4ebad4cd220f",
1310
+ "language": "Python",
1311
+ "lines": 15,
1312
+ "truncated": false,
1313
+ "block": 6,
1314
+ "row": 22149
1315
+ },
1316
+ {
1317
+ "path": "src/predict/open_interaction_number_with_different_results/model.py",
1318
+ "sha256": "b19ef7c2bcca41756de0f13c3253caf37662689952ec382a55bcd4ef16bff6fd",
1319
+ "language": "Python",
1320
+ "lines": 376,
1321
+ "truncated": false,
1322
+ "block": 7,
1323
+ "row": 6154
1324
+ },
1325
+ {
1326
+ "path": "src/predict/open_interaction_number_with_different_results/predict.py",
1327
+ "sha256": "60253f4c9f1ad97757e61149713e8dea2abb3a6449d3915d089375fcfe73ebc4",
1328
+ "language": "Python",
1329
+ "lines": 31,
1330
+ "truncated": false,
1331
+ "block": 6,
1332
+ "row": 25380
1333
+ },
1334
+ {
1335
+ "path": "src/predict/open_interaction_number_with_different_results/preprocess.py",
1336
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
1337
+ "language": "Python",
1338
+ "lines": 67,
1339
+ "truncated": false,
1340
+ "block": 6,
1341
+ "row": 34933
1342
+ },
1343
+ {
1344
+ "path": "src/predict/open_interaction_number_with_different_results/process_result.ipynb",
1345
+ "sha256": "f7ed61fea0f05c6cf7458d7980949b3ce5b714568d9dd5c31524a7707b8f4952",
1346
+ "language": "Jupyter",
1347
+ "lines": 44,
1348
+ "truncated": false,
1349
+ "block": 5,
1350
+ "row": 16123
1351
+ },
1352
+ {
1353
+ "path": "src/predict/open_interaction_number_with_different_results/train.py",
1354
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
1355
+ "language": "Python",
1356
+ "lines": 77,
1357
+ "truncated": false,
1358
+ "block": 6,
1359
+ "row": 34219
1360
+ },
1361
+ {
1362
+ "path": "src/predict/open_interaction_number_with_different_results/train_kfold0.sh",
1363
+ "sha256": "bf7c925d6b37f861f7da9839693791d6e9ed104ffe547c43c81ff472e973ab48",
1364
+ "language": "Shell",
1365
+ "lines": 2,
1366
+ "truncated": false,
1367
+ "block": 8,
1368
+ "row": 6482
1369
+ },
1370
+ {
1371
+ "path": "src/predict/open_interaction_number_with_different_results/train_kfold1.sh",
1372
+ "sha256": "9180a4bfe19778868b9e5183c24f46447bb0e6475f09948d4244f68dd73ca082",
1373
+ "language": "Shell",
1374
+ "lines": 2,
1375
+ "truncated": false,
1376
+ "block": 8,
1377
+ "row": 6480
1378
+ },
1379
+ {
1380
+ "path": "src/predict/open_interaction_number_with_different_results/train_kfold2.sh",
1381
+ "sha256": "8ade5e70be0cdb623af0c95d213fb91685a5c92be04fcd09d72ec5d92e908cd3",
1382
+ "language": "Shell",
1383
+ "lines": 2,
1384
+ "truncated": false,
1385
+ "block": 8,
1386
+ "row": 6479
1387
+ },
1388
+ {
1389
+ "path": "src/predict/open_interaction_number_with_different_results/train_kfold3.sh",
1390
+ "sha256": "9b7b3b2fea608e70469872bd295fd129f6fd61f318f89adedcf4bf1560a96105",
1391
+ "language": "Shell",
1392
+ "lines": 2,
1393
+ "truncated": false,
1394
+ "block": 8,
1395
+ "row": 6481
1396
+ },
1397
+ {
1398
+ "path": "src/predict/open_interaction_number_with_different_results/train_kfold4.sh",
1399
+ "sha256": "2e6c89de05bf854bad111600ab0bcc85568c2aadf84a7453ef9b45dbaa55feff",
1400
+ "language": "Shell",
1401
+ "lines": 2,
1402
+ "truncated": false,
1403
+ "block": 8,
1404
+ "row": 6477
1405
+ },
1406
+ {
1407
+ "path": "src/predict/performance copy.py",
1408
+ "sha256": "920163571b804c2bbb137a675e991e7fe24eadd1013058ce15c7c1a2fdcf627f",
1409
+ "language": "Python",
1410
+ "lines": 164,
1411
+ "truncated": false,
1412
+ "block": 6,
1413
+ "row": 43030
1414
+ },
1415
+ {
1416
+ "path": "src/predict/performance.py",
1417
+ "sha256": "920163571b804c2bbb137a675e991e7fe24eadd1013058ce15c7c1a2fdcf627f",
1418
+ "language": "Python",
1419
+ "lines": 164,
1420
+ "truncated": false,
1421
+ "block": 6,
1422
+ "row": 43030
1423
+ },
1424
+ {
1425
+ "path": "src/predict/prove/AnyRYGate.py",
1426
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1427
+ "language": "Python",
1428
+ "lines": 124,
1429
+ "truncated": false,
1430
+ "block": 6,
1431
+ "row": 40157
1432
+ },
1433
+ {
1434
+ "path": "src/predict/prove/main.py",
1435
+ "sha256": "301a723bab4a4c04eb4f723b39ac2279d3c5afc5495a8db100fe287a5a6db50a",
1436
+ "language": "Python",
1437
+ "lines": 13,
1438
+ "truncated": false,
1439
+ "block": 6,
1440
+ "row": 22073
1441
+ },
1442
+ {
1443
+ "path": "src/predict/prove/prove_decompose_right.py",
1444
+ "sha256": "c6483e6ebfa63e544ef85905d3ae010f08ff3673a9129789c0652a33fb299333",
1445
+ "language": "Python",
1446
+ "lines": 35,
1447
+ "truncated": false,
1448
+ "block": 6,
1449
+ "row": 27614
1450
+ },
1451
+ {
1452
+ "path": "src/predict/prove/prove_is_unitary.py",
1453
+ "sha256": "8655bae47b2428d82ed1b50378b059972a582225b44e3bc10ccc4aed217df33e",
1454
+ "language": "Python",
1455
+ "lines": 28,
1456
+ "truncated": false,
1457
+ "block": 6,
1458
+ "row": 25624
1459
+ },
1460
+ {
1461
+ "path": "src/predict/relative_fix_entry/QNN/AnyRYGate.py",
1462
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1463
+ "language": "Python",
1464
+ "lines": 124,
1465
+ "truncated": false,
1466
+ "block": 6,
1467
+ "row": 40157
1468
+ },
1469
+ {
1470
+ "path": "src/predict/relative_fix_entry/QNN/analysis.py",
1471
+ "sha256": "8f1626e2f3fc0fd62feedfb64bcdcc6c5eb184ae12c8a9a9d69e3b6823354e88",
1472
+ "language": "Python",
1473
+ "lines": 44,
1474
+ "truncated": false,
1475
+ "block": 6,
1476
+ "row": 26546
1477
+ },
1478
+ {
1479
+ "path": "src/predict/relative_fix_entry/QNN/config.py",
1480
+ "sha256": "52d72879eb02aa478fda68cdd25df1226cfd7491174be44a3c6996f62d3becac",
1481
+ "language": "Python",
1482
+ "lines": 88,
1483
+ "truncated": false,
1484
+ "block": 6,
1485
+ "row": 35645
1486
+ },
1487
+ {
1488
+ "path": "src/predict/relative_fix_entry/QNN/metrics/fix_coords.py",
1489
+ "sha256": "cd55f620e0cdfe4283276d0612e16766e06f920a7de112915999f6ac5e5ff2a2",
1490
+ "language": "Python",
1491
+ "lines": 44,
1492
+ "truncated": false,
1493
+ "block": 6,
1494
+ "row": 29475
1495
+ },
1496
+ {
1497
+ "path": "src/predict/relative_fix_entry/QNN/metrics/gdt_ts.py",
1498
+ "sha256": "38b35fdeda4d6bf9df31c73338ba1a6fa9f6dd3bd24b601686fe61e265fda8d1",
1499
+ "language": "Python",
1500
+ "lines": 22,
1501
+ "truncated": false,
1502
+ "block": 6,
1503
+ "row": 22918
1504
+ },
1505
+ {
1506
+ "path": "src/predict/relative_fix_entry/QNN/metrics/lddt.py",
1507
+ "sha256": "505828d3bb7a4de767e92a36119960ad30cc0f7ebd9089b0bca70653807315dc",
1508
+ "language": "Python",
1509
+ "lines": 50,
1510
+ "truncated": false,
1511
+ "block": 6,
1512
+ "row": 28564
1513
+ },
1514
+ {
1515
+ "path": "src/predict/relative_fix_entry/QNN/metrics/rmsd.py",
1516
+ "sha256": "65423f431a45cd432f9d5dd1956a2d8ab888d17670d86f0f96813c01dfab16c3",
1517
+ "language": "Python",
1518
+ "lines": 9,
1519
+ "truncated": false,
1520
+ "block": 6,
1521
+ "row": 21340
1522
+ },
1523
+ {
1524
+ "path": "src/predict/relative_fix_entry/QNN/metrics/tmscore.py",
1525
+ "sha256": "93fe457ef0f073dc7b7268be3682b379902be3a84ed28ed3660a4ebad4cd220f",
1526
+ "language": "Python",
1527
+ "lines": 15,
1528
+ "truncated": false,
1529
+ "block": 6,
1530
+ "row": 22149
1531
+ },
1532
+ {
1533
+ "path": "src/predict/relative_fix_entry/QNN/model.py",
1534
+ "sha256": "004811004f10378a114c164e1c7e6f3f59c0c78dab9b4b7f0975d11a5fe97b7e",
1535
+ "language": "Python",
1536
+ "lines": 374,
1537
+ "truncated": false,
1538
+ "block": 7,
1539
+ "row": 6059
1540
+ },
1541
+ {
1542
+ "path": "src/predict/search_space_new/AnyRYGate.py",
1543
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1544
+ "language": "Python",
1545
+ "lines": 124,
1546
+ "truncated": false,
1547
+ "block": 6,
1548
+ "row": 40157
1549
+ },
1550
+ {
1551
+ "path": "src/predict/search_space_new/analysis.ipynb",
1552
+ "sha256": "92d2fc012344bc8bbeb8ec7f07b003ae2c510dea4ea4e809f684411a1f01036d",
1553
+ "language": "Jupyter",
1554
+ "lines": 127,
1555
+ "truncated": false,
1556
+ "block": 5,
1557
+ "row": 16735
1558
+ },
1559
+ {
1560
+ "path": "src/predict/search_space_new/config.py",
1561
+ "sha256": "32e038b29da1e0bc5356580e619f20542b695556d6142971eaaae40da68975b7",
1562
+ "language": "Python",
1563
+ "lines": 99,
1564
+ "truncated": false,
1565
+ "block": 6,
1566
+ "row": 36832
1567
+ },
1568
+ {
1569
+ "path": "src/predict/search_space_new/dataloader.py",
1570
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
1571
+ "language": "Python",
1572
+ "lines": 75,
1573
+ "truncated": false,
1574
+ "block": 6,
1575
+ "row": 34030
1576
+ },
1577
+ {
1578
+ "path": "src/predict/search_space_new/fix_coords.py",
1579
+ "sha256": "cd55f620e0cdfe4283276d0612e16766e06f920a7de112915999f6ac5e5ff2a2",
1580
+ "language": "Python",
1581
+ "lines": 44,
1582
+ "truncated": false,
1583
+ "block": 6,
1584
+ "row": 29475
1585
+ },
1586
+ {
1587
+ "path": "src/predict/search_space_new/model-org.py",
1588
+ "sha256": "0e4265499a8a10596647556d370f885c1e0f2614a28cd148a711a836535bb6f4",
1589
+ "language": "Python",
1590
+ "lines": 429,
1591
+ "truncated": false,
1592
+ "block": 7,
1593
+ "row": 7032
1594
+ },
1595
+ {
1596
+ "path": "src/predict/search_space_new/model-phi.py",
1597
+ "sha256": "2240209e98a5dc4ae1a46b39ae27d1140a8716d72c70891af416851190ea274c",
1598
+ "language": "Python",
1599
+ "lines": 443,
1600
+ "truncated": false,
1601
+ "block": 7,
1602
+ "row": 7473
1603
+ },
1604
+ {
1605
+ "path": "src/predict/search_space_new/model-rho.py",
1606
+ "sha256": "15c2feb02c87497a4438bee5b5f24fc8fcb51e1fa4e9558b4de2fa11206eea60",
1607
+ "language": "Python",
1608
+ "lines": 443,
1609
+ "truncated": false,
1610
+ "block": 7,
1611
+ "row": 7472
1612
+ },
1613
+ {
1614
+ "path": "src/predict/search_space_new/model-theta.py",
1615
+ "sha256": "fe96161acdaa9ca8df282cc9055b665059fd3b3abfbeb5e54d11a0ad71a43b58",
1616
+ "language": "Python",
1617
+ "lines": 443,
1618
+ "truncated": false,
1619
+ "block": 7,
1620
+ "row": 7475
1621
+ },
1622
+ {
1623
+ "path": "src/predict/search_space_new/model.py",
1624
+ "sha256": "5be29c521fd3a0cc4f45e7b3fdcf3c3f8a8881077ebafcc450a880b91f61b94d",
1625
+ "language": "Python",
1626
+ "lines": 431,
1627
+ "truncated": false,
1628
+ "block": 7,
1629
+ "row": 7053
1630
+ },
1631
+ {
1632
+ "path": "src/predict/search_space_new/predict.py",
1633
+ "sha256": "ca295b51d9a9799613d361bca04a7cad5a710296ff476bb34e6b76a8e5beb315",
1634
+ "language": "Python",
1635
+ "lines": 32,
1636
+ "truncated": false,
1637
+ "block": 6,
1638
+ "row": 25725
1639
+ },
1640
+ {
1641
+ "path": "src/predict/search_space_new/preprocess.py",
1642
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
1643
+ "language": "Python",
1644
+ "lines": 67,
1645
+ "truncated": false,
1646
+ "block": 6,
1647
+ "row": 34933
1648
+ },
1649
+ {
1650
+ "path": "src/predict/search_space_new/train.py",
1651
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
1652
+ "language": "Python",
1653
+ "lines": 77,
1654
+ "truncated": false,
1655
+ "block": 6,
1656
+ "row": 34219
1657
+ },
1658
+ {
1659
+ "path": "src/predict/search_space_new/train_kfold0.sh",
1660
+ "sha256": "bf7c925d6b37f861f7da9839693791d6e9ed104ffe547c43c81ff472e973ab48",
1661
+ "language": "Shell",
1662
+ "lines": 2,
1663
+ "truncated": false,
1664
+ "block": 8,
1665
+ "row": 6482
1666
+ },
1667
+ {
1668
+ "path": "src/predict/search_space_new/train_kfold1.sh",
1669
+ "sha256": "9180a4bfe19778868b9e5183c24f46447bb0e6475f09948d4244f68dd73ca082",
1670
+ "language": "Shell",
1671
+ "lines": 2,
1672
+ "truncated": false,
1673
+ "block": 8,
1674
+ "row": 6480
1675
+ },
1676
+ {
1677
+ "path": "src/predict/search_space_new/train_kfold2.sh",
1678
+ "sha256": "8ade5e70be0cdb623af0c95d213fb91685a5c92be04fcd09d72ec5d92e908cd3",
1679
+ "language": "Shell",
1680
+ "lines": 2,
1681
+ "truncated": false,
1682
+ "block": 8,
1683
+ "row": 6479
1684
+ },
1685
+ {
1686
+ "path": "src/predict/search_space_new/train_kfold3.sh",
1687
+ "sha256": "9b7b3b2fea608e70469872bd295fd129f6fd61f318f89adedcf4bf1560a96105",
1688
+ "language": "Shell",
1689
+ "lines": 2,
1690
+ "truncated": false,
1691
+ "block": 8,
1692
+ "row": 6481
1693
+ },
1694
+ {
1695
+ "path": "src/predict/search_space_new/train_kfold4.sh",
1696
+ "sha256": "2e6c89de05bf854bad111600ab0bcc85568c2aadf84a7453ef9b45dbaa55feff",
1697
+ "language": "Shell",
1698
+ "lines": 2,
1699
+ "truncated": false,
1700
+ "block": 8,
1701
+ "row": 6477
1702
+ },
1703
+ {
1704
+ "path": "src/predict/search_space_new_multi/0draw.py",
1705
+ "sha256": "c6d9f68277b7a7ea552a6465e587ef73ff44ff8632b5b163f99e8d3ca96c8ca8",
1706
+ "language": "Python",
1707
+ "lines": 41,
1708
+ "truncated": false,
1709
+ "block": 6,
1710
+ "row": 29336
1711
+ },
1712
+ {
1713
+ "path": "src/predict/search_space_new_multi/0draw2.py",
1714
+ "sha256": "c6d9f68277b7a7ea552a6465e587ef73ff44ff8632b5b163f99e8d3ca96c8ca8",
1715
+ "language": "Python",
1716
+ "lines": 41,
1717
+ "truncated": false,
1718
+ "block": 6,
1719
+ "row": 29336
1720
+ },
1721
+ {
1722
+ "path": "src/predict/search_space_new_multi/0process.py",
1723
+ "sha256": "ef7b0b9baecbbdfe2c70c484edd914a63b2334e3c9686c52baeb244a0ef026dc",
1724
+ "language": "Python",
1725
+ "lines": 76,
1726
+ "truncated": false,
1727
+ "block": 6,
1728
+ "row": 33224
1729
+ },
1730
+ {
1731
+ "path": "src/predict/search_space_new_multi/AnyRYGate.py",
1732
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1733
+ "language": "Python",
1734
+ "lines": 124,
1735
+ "truncated": false,
1736
+ "block": 6,
1737
+ "row": 40157
1738
+ },
1739
+ {
1740
+ "path": "src/predict/search_space_new_multi/analysis.ipynb",
1741
+ "sha256": "92d2fc012344bc8bbeb8ec7f07b003ae2c510dea4ea4e809f684411a1f01036d",
1742
+ "language": "Jupyter",
1743
+ "lines": 127,
1744
+ "truncated": false,
1745
+ "block": 5,
1746
+ "row": 16735
1747
+ },
1748
+ {
1749
+ "path": "src/predict/search_space_new_multi/config.py",
1750
+ "sha256": "32e038b29da1e0bc5356580e619f20542b695556d6142971eaaae40da68975b7",
1751
+ "language": "Python",
1752
+ "lines": 99,
1753
+ "truncated": false,
1754
+ "block": 6,
1755
+ "row": 36832
1756
+ },
1757
+ {
1758
+ "path": "src/predict/search_space_new_multi/dataloader.py",
1759
+ "sha256": "395c383f0986add570dfb24a3bdffff6053dd53e42ba53b707d5b24d589b382d",
1760
+ "language": "Python",
1761
+ "lines": 75,
1762
+ "truncated": false,
1763
+ "block": 6,
1764
+ "row": 34030
1765
+ },
1766
+ {
1767
+ "path": "src/predict/search_space_new_multi/fix_coords.py",
1768
+ "sha256": "cd55f620e0cdfe4283276d0612e16766e06f920a7de112915999f6ac5e5ff2a2",
1769
+ "language": "Python",
1770
+ "lines": 44,
1771
+ "truncated": false,
1772
+ "block": 6,
1773
+ "row": 29475
1774
+ },
1775
+ {
1776
+ "path": "src/predict/search_space_new_multi/model.py",
1777
+ "sha256": "5be29c521fd3a0cc4f45e7b3fdcf3c3f8a8881077ebafcc450a880b91f61b94d",
1778
+ "language": "Python",
1779
+ "lines": 431,
1780
+ "truncated": false,
1781
+ "block": 7,
1782
+ "row": 7053
1783
+ },
1784
+ {
1785
+ "path": "src/predict/search_space_new_multi/model_org.py",
1786
+ "sha256": "ad1936c64bee44ff8b8a4d28dea5428aa3cf4e42c832d803c70dc9acc33e572e",
1787
+ "language": "Python",
1788
+ "lines": 431,
1789
+ "truncated": false,
1790
+ "block": 7,
1791
+ "row": 7099
1792
+ },
1793
+ {
1794
+ "path": "src/predict/search_space_new_multi/model_phi.py",
1795
+ "sha256": "d750a29f16b3fef8d55380d869abc95b6355c7ded2a2650099a2a693ef25ce8b",
1796
+ "language": "Python",
1797
+ "lines": 445,
1798
+ "truncated": false,
1799
+ "block": 7,
1800
+ "row": 7524
1801
+ },
1802
+ {
1803
+ "path": "src/predict/search_space_new_multi/model_rho.py",
1804
+ "sha256": "6aa11365e349486bbcfc0ab9a8712a4193751a9ae0e707ff0da43ac9afafa639",
1805
+ "language": "Python",
1806
+ "lines": 445,
1807
+ "truncated": false,
1808
+ "block": 7,
1809
+ "row": 7523
1810
+ },
1811
+ {
1812
+ "path": "src/predict/search_space_new_multi/model_theta.py",
1813
+ "sha256": "6d38f21c859db5dd320cf1b3a8c31cad4d43a70ed90a7b9cabbe8317bd57118b",
1814
+ "language": "Python",
1815
+ "lines": 445,
1816
+ "truncated": false,
1817
+ "block": 7,
1818
+ "row": 7528
1819
+ },
1820
+ {
1821
+ "path": "src/predict/search_space_new_multi/predict.py",
1822
+ "sha256": "ca295b51d9a9799613d361bca04a7cad5a710296ff476bb34e6b76a8e5beb315",
1823
+ "language": "Python",
1824
+ "lines": 32,
1825
+ "truncated": false,
1826
+ "block": 6,
1827
+ "row": 25725
1828
+ },
1829
+ {
1830
+ "path": "src/predict/search_space_new_multi/preprocess.py",
1831
+ "sha256": "1730d857e5e3045d759f5fefd0e5cfe3ad72e1a2217c03232f2596dbd936c49e",
1832
+ "language": "Python",
1833
+ "lines": 67,
1834
+ "truncated": false,
1835
+ "block": 6,
1836
+ "row": 34933
1837
+ },
1838
+ {
1839
+ "path": "src/predict/search_space_new_multi/train.py",
1840
+ "sha256": "6387cfc0c0b4d58bdbc358877a0f2c17a1d449257f78a8e77e419441f0b50cb7",
1841
+ "language": "Python",
1842
+ "lines": 77,
1843
+ "truncated": false,
1844
+ "block": 6,
1845
+ "row": 34219
1846
+ },
1847
+ {
1848
+ "path": "src/predict/search_space_new_multi/train_kfold0.sh",
1849
+ "sha256": "bf7c925d6b37f861f7da9839693791d6e9ed104ffe547c43c81ff472e973ab48",
1850
+ "language": "Shell",
1851
+ "lines": 2,
1852
+ "truncated": false,
1853
+ "block": 8,
1854
+ "row": 6482
1855
+ },
1856
+ {
1857
+ "path": "src/predict/search_space_new_multi/train_kfold1.sh",
1858
+ "sha256": "9180a4bfe19778868b9e5183c24f46447bb0e6475f09948d4244f68dd73ca082",
1859
+ "language": "Shell",
1860
+ "lines": 2,
1861
+ "truncated": false,
1862
+ "block": 8,
1863
+ "row": 6480
1864
+ },
1865
+ {
1866
+ "path": "src/predict/search_space_new_multi/train_kfold2.sh",
1867
+ "sha256": "8ade5e70be0cdb623af0c95d213fb91685a5c92be04fcd09d72ec5d92e908cd3",
1868
+ "language": "Shell",
1869
+ "lines": 2,
1870
+ "truncated": false,
1871
+ "block": 8,
1872
+ "row": 6479
1873
+ },
1874
+ {
1875
+ "path": "src/predict/search_space_new_multi/train_kfold3.sh",
1876
+ "sha256": "9b7b3b2fea608e70469872bd295fd129f6fd61f318f89adedcf4bf1560a96105",
1877
+ "language": "Shell",
1878
+ "lines": 2,
1879
+ "truncated": false,
1880
+ "block": 8,
1881
+ "row": 6481
1882
+ },
1883
+ {
1884
+ "path": "src/predict/search_space_new_multi/train_kfold4.sh",
1885
+ "sha256": "2e6c89de05bf854bad111600ab0bcc85568c2aadf84a7453ef9b45dbaa55feff",
1886
+ "language": "Shell",
1887
+ "lines": 2,
1888
+ "truncated": false,
1889
+ "block": 8,
1890
+ "row": 6477
1891
+ },
1892
+ {
1893
+ "path": "src/prove/AnyRYGate.py",
1894
+ "sha256": "92316c0efd7ac8ef043ff06a62ea74e213af70535a30449db6256dfe2b3ac1af",
1895
+ "language": "Python",
1896
+ "lines": 124,
1897
+ "truncated": false,
1898
+ "block": 6,
1899
+ "row": 40157
1900
+ },
1901
+ {
1902
+ "path": "src/prove/main.py",
1903
+ "sha256": "301a723bab4a4c04eb4f723b39ac2279d3c5afc5495a8db100fe287a5a6db50a",
1904
+ "language": "Python",
1905
+ "lines": 13,
1906
+ "truncated": false,
1907
+ "block": 6,
1908
+ "row": 22073
1909
+ },
1910
+ {
1911
+ "path": "src/prove/prove_decompose_right.py",
1912
+ "sha256": "c6483e6ebfa63e544ef85905d3ae010f08ff3673a9129789c0652a33fb299333",
1913
+ "language": "Python",
1914
+ "lines": 35,
1915
+ "truncated": false,
1916
+ "block": 6,
1917
+ "row": 27614
1918
+ },
1919
+ {
1920
+ "path": "src/prove/prove_is_unitary.py",
1921
+ "sha256": "8655bae47b2428d82ed1b50378b059972a582225b44e3bc10ccc4aed217df33e",
1922
+ "language": "Python",
1923
+ "lines": 28,
1924
+ "truncated": false,
1925
+ "block": 6,
1926
+ "row": 25624
1927
+ },
1928
+ {
1929
+ "path": "src/utils/L2Loss.py",
1930
+ "sha256": "99379c8ad7335f9c454ec76e71d7a29bafedcd41bd5f2440f113debf5c4191d9",
1931
+ "language": "Python",
1932
+ "lines": 50,
1933
+ "truncated": false,
1934
+ "block": 6,
1935
+ "row": 30971
1936
+ },
1937
+ {
1938
+ "path": "src/utils/SVDSuperimposer.py",
1939
+ "sha256": "0cde22f7c483aef9e6992b45be6db7b2492c90a595c94726f6eab3bd4c2b6c6d",
1940
+ "language": "Python",
1941
+ "lines": 55,
1942
+ "truncated": false,
1943
+ "block": 6,
1944
+ "row": 29585
1945
+ }
1946
+ ]
1947
+ }
manifests/6c/zenodo__18676096.json ADDED
@@ -0,0 +1,156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:18676096",
4
+ "url": "10.5281/zenodo.18676096",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "932ac7ee5aa1496d9e39e1d909622c52b34c65c1a1e40d5648dd8af67dd44c0c",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1666
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "5932320e3814cbf34528571b07712b6e013d3e6e5128e1d9b26beca17c35de69",
23
+ "language": "Text",
24
+ "lines": 30,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10031
28
+ },
29
+ {
30
+ "path": "chip-seq/scripts/R/Figure2.Rmd",
31
+ "sha256": "4715caa3ef0ab57c2eaef478fa5386936c06cae93c2b76e114473908eda91d83",
32
+ "language": "R",
33
+ "lines": 320,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 4485
37
+ },
38
+ {
39
+ "path": "chip-seq/scripts/bash/01_submit_bwa.sh",
40
+ "sha256": "ca85e8e89fa3f54a18b4de1d572ac50c9cc0ff8a1dad92a9b2dc70534a65294a",
41
+ "language": "Shell",
42
+ "lines": 35,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 7869
46
+ },
47
+ {
48
+ "path": "chip-seq/scripts/bash/02_submit_filterChIP-seq.sh",
49
+ "sha256": "cb269788ba92f9246e441dddcc1e820eca83e6271e18ef5b537738df59ad75fd",
50
+ "language": "Shell",
51
+ "lines": 65,
52
+ "truncated": false,
53
+ "block": 8,
54
+ "row": 8626
55
+ },
56
+ {
57
+ "path": "chip-seq/scripts/bash/03_submit_macs2.sh",
58
+ "sha256": "a42be24aa8fb2ad05912ac0f65c5195c73c98f303083a7922bf2219a2b020f12",
59
+ "language": "Shell",
60
+ "lines": 42,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 7829
64
+ },
65
+ {
66
+ "path": "chip-seq/scripts/bash/04_submit_deeptools_heatmap.sh",
67
+ "sha256": "6414fba2df039931a8bfc2a86cce2b348697bb8e513110e83fa15cd41c53599b",
68
+ "language": "Shell",
69
+ "lines": 72,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 8470
73
+ },
74
+ {
75
+ "path": "chip-seq/scripts/bash/config.sh",
76
+ "sha256": "3b69731cedd86d490e6fc8b0ce77ebc471598aa3c8347cca23be240abfe5308b",
77
+ "language": "Shell",
78
+ "lines": 2,
79
+ "truncated": false,
80
+ "block": 8,
81
+ "row": 6547
82
+ },
83
+ {
84
+ "path": "scRNA-seq/1_data_filtration_SSE.R",
85
+ "sha256": "b4774d1bdee65a77a386fddc935e2c4dce3627df967aeda96bd4000d1d895e4a",
86
+ "language": "R",
87
+ "lines": 125,
88
+ "truncated": false,
89
+ "block": 8,
90
+ "row": 3268
91
+ },
92
+ {
93
+ "path": "scRNA-seq/2_umap_doublets_ambientR_SSE.R",
94
+ "sha256": "cf60c6acd2d7c844787f06d6b96cd56f80dd4671ed6c2f2718fb827a6c2ffc10",
95
+ "language": "R",
96
+ "lines": 104,
97
+ "truncated": false,
98
+ "block": 8,
99
+ "row": 2833
100
+ },
101
+ {
102
+ "path": "scRNA-seq/3_annotation_SSE.R",
103
+ "sha256": "ab08561624ac1b486b660a0dfb51ffe7f8da8456b365632db563cd65ad6ac291",
104
+ "language": "R",
105
+ "lines": 138,
106
+ "truncated": false,
107
+ "block": 8,
108
+ "row": 3144
109
+ },
110
+ {
111
+ "path": "scRNA-seq/5_pyscenic.sh",
112
+ "sha256": "c1155dd5e07bc8f05b7ebc00cc10833c3d4ac02a266481940ef27bebe8239406",
113
+ "language": "Shell",
114
+ "lines": 41,
115
+ "truncated": false,
116
+ "block": 8,
117
+ "row": 7405
118
+ },
119
+ {
120
+ "path": "scRNA-seq/5_pyscenic_SSE.R",
121
+ "sha256": "1d549fdf7379530a4e229c98b5f9dd9b687b5fad74d387ecb1ced2b2db715fb6",
122
+ "language": "R",
123
+ "lines": 41,
124
+ "truncated": false,
125
+ "block": 8,
126
+ "row": 1577
127
+ },
128
+ {
129
+ "path": "scRNA-seq/6_cell_line_SSE.R",
130
+ "sha256": "e7eb03aee61f8a586cff97f856cb9bf3f473a612e78ab42c42e1a4ab2051b303",
131
+ "language": "R",
132
+ "lines": 25,
133
+ "truncated": false,
134
+ "block": 8,
135
+ "row": 1544
136
+ },
137
+ {
138
+ "path": "scRNA-seq/7_visualization_SSE.R",
139
+ "sha256": "75d290ed08f07ee49ef199d548e6bbba84e875927912b4490094bae3031a4713",
140
+ "language": "R",
141
+ "lines": 196,
142
+ "truncated": false,
143
+ "block": 8,
144
+ "row": 3897
145
+ },
146
+ {
147
+ "path": "scRNA-seq/custom_function.R",
148
+ "sha256": "26088bbbbc4651b4cde9247ce0b9e813ab433dda184af97f6378bc1fb4cc3590",
149
+ "language": "R",
150
+ "lines": 693,
151
+ "truncated": false,
152
+ "block": 8,
153
+ "row": 5008
154
+ }
155
+ ]
156
+ }
manifests/6c/zenodo__19247231.json ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:19247231",
4
+ "url": "https://zenodo.org/records/19247231",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "baselines.py",
13
+ "sha256": "61c03928e5545fb29cd2670277f4992427e0216c3d08a6ad827f8f4fd7753982",
14
+ "language": "Python",
15
+ "lines": 98,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 36215
19
+ },
20
+ {
21
+ "path": "config.py",
22
+ "sha256": "7f8c485614aae6761511f2579dbd461dbe000243166bbde6feda12bcc5fb6fb3",
23
+ "language": "Python",
24
+ "lines": 60,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 28699
28
+ },
29
+ {
30
+ "path": "data.py",
31
+ "sha256": "57ab90a38af2ed93fcc4fd85a925a483bedc38b16303e0eb54d4a3e655c00b49",
32
+ "language": "Python",
33
+ "lines": 113,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 37123
37
+ },
38
+ {
39
+ "path": "evaluation.py",
40
+ "sha256": "1f1625307dfdf88f77efbb809abc7fd4dceec31ec9e71ecf610c91c6b33bc68b",
41
+ "language": "Python",
42
+ "lines": 271,
43
+ "truncated": false,
44
+ "block": 7,
45
+ "row": 2414
46
+ },
47
+ {
48
+ "path": "main.py",
49
+ "sha256": "5de358e0a2288122ec1d90e1645a59d83867994e0b515948af4ece18efa060b3",
50
+ "language": "Python",
51
+ "lines": 352,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 6629
55
+ },
56
+ {
57
+ "path": "metrics.py",
58
+ "sha256": "ac4a031436fba1fdb206baa21a58da2326a16e6254b07ec251b76a1b84dd4bf4",
59
+ "language": "Python",
60
+ "lines": 302,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 3162
64
+ },
65
+ {
66
+ "path": "optuna_search.py",
67
+ "sha256": "c3ede70dd0ccfe246c2820cbadc5c6c36063ef03ca9c1ccb77ab7eb256821952",
68
+ "language": "Python",
69
+ "lines": 148,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 41358
73
+ },
74
+ {
75
+ "path": "student.py",
76
+ "sha256": "2bb4b17aec0a7d119573ed4462b2dbeabb78c65dd1cc38a30ccb464757bba43c",
77
+ "language": "Python",
78
+ "lines": 137,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 39076
82
+ },
83
+ {
84
+ "path": "teacher.py",
85
+ "sha256": "04267203e3d379a0651bf8ee1b90c8a3f114c54d18397923851d734fe892aaa3",
86
+ "language": "Python",
87
+ "lines": 57,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 28881
91
+ },
92
+ {
93
+ "path": "trainer.py",
94
+ "sha256": "08cdb7d27ea67cc30a0f3ab780b600a054627afec7e57e3b97931dda5778105c",
95
+ "language": "Python",
96
+ "lines": 154,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 40215
100
+ }
101
+ ]
102
+ }
manifests/6c/zenodo__3555260.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:3555260",
4
+ "url": "https://doi.org/10.5281/zenodo.3555260",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "README.txt",
13
+ "sha256": "8f4ded75292f9ca2c90e7296fd4f0c4cbd9d7f4a29f15d3f1cb0dc67de68db3b",
14
+ "language": "Text",
15
+ "lines": 47,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 10081
19
+ }
20
+ ]
21
+ }
manifests/6d/github.com__ampl-psych__emc2.json ADDED
@@ -0,0 +1,1200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/ampl-psych/emc2",
4
+ "url": "https://github.com/ampl-psych/EMC2",
5
+ "host": "github.com",
6
+ "commit": "beab948d283cfff25139de7f1a2dae11839cfddd",
7
+ "license": "GPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE.md",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE.md",
13
+ "sha256": "585e25ef8f5946a52bf2aed68d5becfc38be94a8663aa01c1b31d88aa57f1de3",
14
+ "language": "License",
15
+ "lines": 595,
16
+ "truncated": false,
17
+ "block": 2,
18
+ "row": 1157
19
+ },
20
+ {
21
+ "path": "R/EMC2-package.R",
22
+ "sha256": "03cd7ab3b418342da0ef02a008ca12be12a90dd88c962c5f799cb404c24aee97",
23
+ "language": "R",
24
+ "lines": 103,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 2501
28
+ },
29
+ {
30
+ "path": "R/MRI.R",
31
+ "sha256": "a11aa8eaf7c1df5fb3fbd80d29d23f7b47e6c7c58d9366d7fd60151426cb6d4b",
32
+ "language": "R",
33
+ "lines": 1304,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 5146
37
+ },
38
+ {
39
+ "path": "R/RcppExports.R",
40
+ "sha256": "cc91f289ce75cffdfbc158062be17f643565ef85bce4face7ea6e8ca46233409",
41
+ "language": "R",
42
+ "lines": 135,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 3270
46
+ },
47
+ {
48
+ "path": "R/SBC.R",
49
+ "sha256": "749a9cea8c3d3663eaa69fcde1cf8602321a4596ae5bad473f890eb1a54c75dd",
50
+ "language": "R",
51
+ "lines": 449,
52
+ "truncated": false,
53
+ "block": 8,
54
+ "row": 4587
55
+ },
56
+ {
57
+ "path": "R/bridge_sampling.R",
58
+ "sha256": "4d4da47873ee6fb757d7f774232e6829b81ae532c114e9b5ddef666c398e300e",
59
+ "language": "R",
60
+ "lines": 276,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 4329
64
+ },
65
+ {
66
+ "path": "R/data.R",
67
+ "sha256": "e31b11cdeec4490c2d7a4a56734f5180b090e621428eb814d2eb46bfb9365f00",
68
+ "language": "R",
69
+ "lines": 79,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 2846
73
+ },
74
+ {
75
+ "path": "R/define_variants.R",
76
+ "sha256": "54dae3d6ae7a7a11663820fea2713a1511d80c1c488a85bbecddc672e468a823",
77
+ "language": "R",
78
+ "lines": 218,
79
+ "truncated": false,
80
+ "block": 8,
81
+ "row": 4006
82
+ },
83
+ {
84
+ "path": "R/design.R",
85
+ "sha256": "3a542840011b34e052b54c65e823d6305065b6e7d2aefe5dbbbb2ad93935cbf3",
86
+ "language": "R",
87
+ "lines": 1614,
88
+ "truncated": false,
89
+ "block": 8,
90
+ "row": 5170
91
+ },
92
+ {
93
+ "path": "R/design_plot.R",
94
+ "sha256": "af3786cab0d9f045a1210a18052ff2c2183e8f3f9d3f297004e53127bfcd3395",
95
+ "language": "R",
96
+ "lines": 1295,
97
+ "truncated": false,
98
+ "block": 8,
99
+ "row": 5086
100
+ },
101
+ {
102
+ "path": "R/design_pool.R",
103
+ "sha256": "8750bcb5a51d1cdc08c2b7eaea72c96dd1219bfc1a9baf73a0f7036ffa8e5b44",
104
+ "language": "R",
105
+ "lines": 154,
106
+ "truncated": false,
107
+ "block": 8,
108
+ "row": 3200
109
+ },
110
+ {
111
+ "path": "R/factor_analysis.R",
112
+ "sha256": "2f8d8ceb4ceacab659c65371a17132a2877bf02ae16fbf487356e0fc5eff057c",
113
+ "language": "R",
114
+ "lines": 1036,
115
+ "truncated": false,
116
+ "block": 8,
117
+ "row": 5042
118
+ },
119
+ {
120
+ "path": "R/fitting.R",
121
+ "sha256": "e8a0f8a24dfb50192d508b13a9fdae0e55766d5510d6f6aced329eb776ec4ce6",
122
+ "language": "R",
123
+ "lines": 1018,
124
+ "truncated": false,
125
+ "block": 8,
126
+ "row": 5096
127
+ },
128
+ {
129
+ "path": "R/get_type_objects.R",
130
+ "sha256": "477c08ec0835babdc819ef442df353c46e691cd313ea792dd44acc1894272cd1",
131
+ "language": "R",
132
+ "lines": 702,
133
+ "truncated": false,
134
+ "block": 8,
135
+ "row": 4931
136
+ },
137
+ {
138
+ "path": "R/group_design.R",
139
+ "sha256": "2be6c0ccc8d0b1cca09bc1249ed79658ae38604105d9612ec75b6f7ea7596c5d",
140
+ "language": "R",
141
+ "lines": 526,
142
+ "truncated": false,
143
+ "block": 8,
144
+ "row": 4701
145
+ },
146
+ {
147
+ "path": "R/joint.R",
148
+ "sha256": "6d4a856b369475b23248fc51a7c4d568249c67be7fe06647034b1828dd593ac8",
149
+ "language": "R",
150
+ "lines": 65,
151
+ "truncated": false,
152
+ "block": 8,
153
+ "row": 2125
154
+ },
155
+ {
156
+ "path": "R/likelihood.R",
157
+ "sha256": "f5dac9b60781d0e4ddd4921e8e77b28613d6dae44c47d898120b79ba8cab1170",
158
+ "language": "R",
159
+ "lines": 150,
160
+ "truncated": false,
161
+ "block": 8,
162
+ "row": 3277
163
+ },
164
+ {
165
+ "path": "R/make_data.R",
166
+ "sha256": "2bd9035366126e1be4f6ed48efeb1326c19890c355b42bb6bcfdafb9edae93e7",
167
+ "language": "R",
168
+ "lines": 370,
169
+ "truncated": false,
170
+ "block": 8,
171
+ "row": 4588
172
+ },
173
+ {
174
+ "path": "R/map.R",
175
+ "sha256": "5381ea4bb2a4f7106901a91eb59cca80998ff3bb92385b67cfbbe3ed91ce7640",
176
+ "language": "R",
177
+ "lines": 472,
178
+ "truncated": false,
179
+ "block": 8,
180
+ "row": 4672
181
+ },
182
+ {
183
+ "path": "R/messaging.R",
184
+ "sha256": "77d135e5d52bab9fded47beeebdeb0ccfb68bfd675e9da5b0dcdad191fb70c3e",
185
+ "language": "R",
186
+ "lines": 168,
187
+ "truncated": false,
188
+ "block": 8,
189
+ "row": 3177
190
+ },
191
+ {
192
+ "path": "R/model_DDM.R",
193
+ "sha256": "88e88d827ca079031edae01e3df974f2267f7e90b096add343a8bf2df34b6e0b",
194
+ "language": "R",
195
+ "lines": 249,
196
+ "truncated": false,
197
+ "block": 8,
198
+ "row": 4293
199
+ },
200
+ {
201
+ "path": "R/model_LBA.R",
202
+ "sha256": "38fbd553a4d2344141f3d15697fd939af3f4f76f9207b014c5403eddad291edc",
203
+ "language": "R",
204
+ "lines": 258,
205
+ "truncated": false,
206
+ "block": 8,
207
+ "row": 4227
208
+ },
209
+ {
210
+ "path": "R/model_LNR.R",
211
+ "sha256": "d909852eff58e751aaa3378092020576a4f52baabdf6338f90563d351c89ddab",
212
+ "language": "R",
213
+ "lines": 113,
214
+ "truncated": false,
215
+ "block": 8,
216
+ "row": 3103
217
+ },
218
+ {
219
+ "path": "R/model_RDM.R",
220
+ "sha256": "980685786f481b8f2fb8e0c46e56c8aac5c11e5f18c48f6ff231c3c33dc96151",
221
+ "language": "R",
222
+ "lines": 397,
223
+ "truncated": false,
224
+ "block": 8,
225
+ "row": 4535
226
+ },
227
+ {
228
+ "path": "R/model_SS.R",
229
+ "sha256": "db5a5d3e67deb4681f4f31745109731df1b0fdc6ecee1d999e185070d3c87abf",
230
+ "language": "R",
231
+ "lines": 1162,
232
+ "truncated": false,
233
+ "block": 8,
234
+ "row": 5084
235
+ },
236
+ {
237
+ "path": "R/model_multinomial.R",
238
+ "sha256": "fabc516424b972c17af7060d87ec60bc10cf0c80181920f8ad09cb8103f09b3d",
239
+ "language": "R",
240
+ "lines": 165,
241
+ "truncated": false,
242
+ "block": 8,
243
+ "row": 3093
244
+ },
245
+ {
246
+ "path": "R/model_ordered.R",
247
+ "sha256": "9d7e5144acddd54cb1a17708183575462333de024a780a24287b5b74f46b4453",
248
+ "language": "R",
249
+ "lines": 200,
250
+ "truncated": false,
251
+ "block": 8,
252
+ "row": 3538
253
+ },
254
+ {
255
+ "path": "R/model_response.R",
256
+ "sha256": "4bff9b5a803e3c1e344874a1efbb21a7f8f2be2a04899f23c583db70380714bd",
257
+ "language": "R",
258
+ "lines": 52,
259
+ "truncated": false,
260
+ "block": 8,
261
+ "row": 1776
262
+ },
263
+ {
264
+ "path": "R/new_map.R",
265
+ "sha256": "b196d65bf30a18241c191592a4f2cb4aa8a731344f3e0c0e10ef998218491773",
266
+ "language": "R",
267
+ "lines": 393,
268
+ "truncated": false,
269
+ "block": 8,
270
+ "row": 4418
271
+ },
272
+ {
273
+ "path": "R/objects.R",
274
+ "sha256": "eb4fd64a9f46f1751498a24004e08e8c998627efd5d10e1a9770f1cd656e1f7e",
275
+ "language": "R",
276
+ "lines": 530,
277
+ "truncated": false,
278
+ "block": 8,
279
+ "row": 4781
280
+ },
281
+ {
282
+ "path": "R/oo_map.R",
283
+ "sha256": "a20e2389bb87e4b142f8fac0071692cc6e5d16bbaf592664d7d7f332d27877c6",
284
+ "language": "R",
285
+ "lines": 193,
286
+ "truncated": false,
287
+ "block": 8,
288
+ "row": 3493
289
+ },
290
+ {
291
+ "path": "R/plot_data.R",
292
+ "sha256": "52724d6c74e935b03930c844ecada22c0a3298ca5ad666ffc7f1940bac0538cf",
293
+ "language": "R",
294
+ "lines": 1994,
295
+ "truncated": false,
296
+ "block": 8,
297
+ "row": 5196
298
+ },
299
+ {
300
+ "path": "R/plotting.R",
301
+ "sha256": "20638d63e17420d6ef5a552aace9f8f38328e17376b64f9af8061a02a65db6f9",
302
+ "language": "R",
303
+ "lines": 1178,
304
+ "truncated": false,
305
+ "block": 8,
306
+ "row": 5133
307
+ },
308
+ {
309
+ "path": "R/plotting_ss.R",
310
+ "sha256": "3d701f8e1b34a8163145b3e0e43c6fb5c357203abae0dacb66842bc9f4423a73",
311
+ "language": "R",
312
+ "lines": 1174,
313
+ "truncated": false,
314
+ "block": 8,
315
+ "row": 5127
316
+ },
317
+ {
318
+ "path": "R/priors.R",
319
+ "sha256": "f22a92797c81aef2a0b03503562e41f8881afd5542dcf376e6c3404512abbeba",
320
+ "language": "R",
321
+ "lines": 686,
322
+ "truncated": false,
323
+ "block": 8,
324
+ "row": 4921
325
+ },
326
+ {
327
+ "path": "R/s3_funcs.R",
328
+ "sha256": "558776207f40c0e2a0a78390c027c13c7b23f2750bda3ec98b253a21359cfdd1",
329
+ "language": "R",
330
+ "lines": 1259,
331
+ "truncated": false,
332
+ "block": 8,
333
+ "row": 5145
334
+ },
335
+ {
336
+ "path": "R/sampling.R",
337
+ "sha256": "ae19e6f56f9d43b0d90579df6dabf2a523fc16dd26828db95003114e8a32fa0d",
338
+ "language": "R",
339
+ "lines": 814,
340
+ "truncated": false,
341
+ "block": 8,
342
+ "row": 5010
343
+ },
344
+ {
345
+ "path": "R/statistics.R",
346
+ "sha256": "c4bb67ab95bc034955594a877943b7cb9304ec0d3c23f9d5d934a3808fbfd48e",
347
+ "language": "R",
348
+ "lines": 728,
349
+ "truncated": false,
350
+ "block": 8,
351
+ "row": 4984
352
+ },
353
+ {
354
+ "path": "R/trend.R",
355
+ "sha256": "bdd6e634bbf73d99d111c0dd4e37816a748139f064e2c13e63b3b518afbe1cf9",
356
+ "language": "R",
357
+ "lines": 2075,
358
+ "truncated": false,
359
+ "block": 8,
360
+ "row": 5200
361
+ },
362
+ {
363
+ "path": "R/utils.R",
364
+ "sha256": "37a7825db7ebdc5128592286ebceee102f465ec757c54b2432b2987eb09c7bba",
365
+ "language": "R",
366
+ "lines": 77,
367
+ "truncated": false,
368
+ "block": 8,
369
+ "row": 2373
370
+ },
371
+ {
372
+ "path": "R/variant_SEM.R",
373
+ "sha256": "86d02045e8937bffee5fee3e88930cb4c8e36d74e96b5a363543fe29f9abda69",
374
+ "language": "R",
375
+ "lines": 1209,
376
+ "truncated": false,
377
+ "block": 8,
378
+ "row": 5136
379
+ },
380
+ {
381
+ "path": "R/variant_diag_gamma.R",
382
+ "sha256": "b4b7b3ee4a32d6195dd33644b57a110555c21dab2df405470115e204990b0b6e",
383
+ "language": "R",
384
+ "lines": 125,
385
+ "truncated": false,
386
+ "block": 8,
387
+ "row": 3068
388
+ },
389
+ {
390
+ "path": "R/variant_factor.R",
391
+ "sha256": "1dc8a83dc7bc059e710892d0b6be162e38d5debe47c5cc815fc85990fd2faa10",
392
+ "language": "R",
393
+ "lines": 400,
394
+ "truncated": false,
395
+ "block": 8,
396
+ "row": 4629
397
+ },
398
+ {
399
+ "path": "R/variant_infnt_factor.R",
400
+ "sha256": "04423707ec54ae6eb4d18703351f4d249b11a447acc8dfb5119d3cfe9fbf7e76",
401
+ "language": "R",
402
+ "lines": 324,
403
+ "truncated": false,
404
+ "block": 8,
405
+ "row": 4370
406
+ },
407
+ {
408
+ "path": "R/variant_single.R",
409
+ "sha256": "3e71943151073605a5948438a2806a35f08c807c472037ca63f4d9e1e751a36f",
410
+ "language": "R",
411
+ "lines": 133,
412
+ "truncated": false,
413
+ "block": 8,
414
+ "row": 3151
415
+ },
416
+ {
417
+ "path": "R/variant_standard.R",
418
+ "sha256": "87fc8e1d35f9465015425517efbe1e7db5fff66fbd4f84527cffeeb6f75e0232",
419
+ "language": "R",
420
+ "lines": 1323,
421
+ "truncated": false,
422
+ "block": 8,
423
+ "row": 5122
424
+ },
425
+ {
426
+ "path": "README.md",
427
+ "sha256": "a1e896053de0753a87227ae68f75798fc130fc373cc85320c7f3a74a30657493",
428
+ "language": "Text",
429
+ "lines": 67,
430
+ "truncated": false,
431
+ "block": 8,
432
+ "row": 10172
433
+ },
434
+ {
435
+ "path": "docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js",
436
+ "sha256": "d2ea6c1e0cabca20d18e924b25a1cd0187c38ba7c33f60ab06e1b0402b9bcdb5",
437
+ "language": "JavaScript",
438
+ "lines": 7,
439
+ "truncated": false,
440
+ "block": 3,
441
+ "row": 6962
442
+ },
443
+ {
444
+ "path": "docs/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js",
445
+ "sha256": "e2f79541bbbbfff2e4e534a673b615e3c331b4ccbdf1edba71fe4cae06589f0a",
446
+ "language": "JavaScript",
447
+ "lines": 5,
448
+ "truncated": false,
449
+ "block": 3,
450
+ "row": 6850
451
+ },
452
+ {
453
+ "path": "docs/deps/clipboard.js-2.0.11/clipboard.min.js",
454
+ "sha256": "e17a1d816e13c0826e0ed7febfabc3277f45571234bde0bf9120829a7169edc9",
455
+ "language": "JavaScript",
456
+ "lines": 7,
457
+ "truncated": false,
458
+ "block": 3,
459
+ "row": 6920
460
+ },
461
+ {
462
+ "path": "docs/deps/headroom-0.11.0/headroom.min.js",
463
+ "sha256": "02c517e12244d7ecae0eee7e98057325bb9834f1e3fd6ae81ee67c22bfc2904d",
464
+ "language": "JavaScript",
465
+ "lines": 7,
466
+ "truncated": false,
467
+ "block": 3,
468
+ "row": 6899
469
+ },
470
+ {
471
+ "path": "docs/deps/headroom-0.11.0/jQuery.headroom.min.js",
472
+ "sha256": "657ff235285b8eab28847d64f79962a98f4677cb8e884d52e2f65cfbd290d4ae",
473
+ "language": "JavaScript",
474
+ "lines": 7,
475
+ "truncated": false,
476
+ "block": 3,
477
+ "row": 6774
478
+ },
479
+ {
480
+ "path": "docs/deps/jquery-3.6.0/jquery-3.6.0.js",
481
+ "sha256": "f11ddd574892887c994b0105ebb5f0bf82903b81e120c4cf545a80124bf2a69c",
482
+ "language": "JavaScript",
483
+ "lines": 7407,
484
+ "truncated": true,
485
+ "block": 3,
486
+ "row": 6977
487
+ },
488
+ {
489
+ "path": "docs/deps/jquery-3.6.0/jquery-3.6.0.min.js",
490
+ "sha256": "ff1523fb7389539c84c65aba19260648793bb4f5e29329d2ee8804bc37a3fe6e",
491
+ "language": "JavaScript",
492
+ "lines": 2,
493
+ "truncated": false,
494
+ "block": 1,
495
+ "row": 1544
496
+ },
497
+ {
498
+ "path": "docs/deps/search-1.0.0/autocomplete.jquery.min.js",
499
+ "sha256": "41cd989c022ac2ad142cab1b4e3d03e0dc47d3d80b616bb2092709f5d86be4f5",
500
+ "language": "JavaScript",
501
+ "lines": 7,
502
+ "truncated": false,
503
+ "block": 3,
504
+ "row": 6954
505
+ },
506
+ {
507
+ "path": "docs/deps/search-1.0.0/fuse.min.js",
508
+ "sha256": "227dc237b65445027834bc62afbd220f4bdf89bc50cc452f2bf539114167854f",
509
+ "language": "JavaScript",
510
+ "lines": 9,
511
+ "truncated": false,
512
+ "block": 3,
513
+ "row": 6946
514
+ },
515
+ {
516
+ "path": "docs/deps/search-1.0.0/mark.min.js",
517
+ "sha256": "21d62e1053f7589fe6365cccd7c636d1781abf7879a605d8ce5f1f5b81a7b8fa",
518
+ "language": "JavaScript",
519
+ "lines": 7,
520
+ "truncated": false,
521
+ "block": 3,
522
+ "row": 6936
523
+ },
524
+ {
525
+ "path": "docs/katex-auto.js",
526
+ "sha256": "33467fa22b630077f16017a5cf4be6f5dbd6105aea36db893cb7f0a9be42c232",
527
+ "language": "JavaScript",
528
+ "lines": 14,
529
+ "truncated": false,
530
+ "block": 3,
531
+ "row": 6776
532
+ },
533
+ {
534
+ "path": "docs/lightswitch.js",
535
+ "sha256": "afc58f799f7577e31008cbec9f75f1a8f407f8c65eda65d1b321b723dc2f86f6",
536
+ "language": "JavaScript",
537
+ "lines": 85,
538
+ "truncated": false,
539
+ "block": 3,
540
+ "row": 6855
541
+ },
542
+ {
543
+ "path": "docs/pkgdown.js",
544
+ "sha256": "42cb3289f195ca99b4cc6fdf6a8d4d5d44dc0021f99814c57aa6c68c930b3400",
545
+ "language": "JavaScript",
546
+ "lines": 162,
547
+ "truncated": false,
548
+ "block": 5,
549
+ "row": 14810
550
+ },
551
+ {
552
+ "path": "src/ParamTable.cpp",
553
+ "sha256": "f98771b6f09c0af5a107854688a73612285e051ba8a526c3c9ff820f0465489e",
554
+ "language": "C++",
555
+ "lines": 124,
556
+ "truncated": false,
557
+ "block": 5,
558
+ "row": 2890
559
+ },
560
+ {
561
+ "path": "src/ParamTable.h",
562
+ "sha256": "d3c52dce59b8a648e3a104e7b043e97e5749fa442ebc992464bed4a0e6dd4435",
563
+ "language": "C/C++",
564
+ "lines": 566,
565
+ "truncated": false,
566
+ "block": 5,
567
+ "row": 9339
568
+ },
569
+ {
570
+ "path": "src/RaceSetup.h",
571
+ "sha256": "2f1b2995464e67b9ef792c66c1f1ed83ba192aff5a936a15d76c6a56ccafa713",
572
+ "language": "C/C++",
573
+ "lines": 90,
574
+ "truncated": false,
575
+ "block": 5,
576
+ "row": 7355
577
+ },
578
+ {
579
+ "path": "src/RaceSpec.h",
580
+ "sha256": "5f8e75690b9df49d8105c40f054fa9ab0a179397e13647e40233b7c239307689",
581
+ "language": "C/C++",
582
+ "lines": 40,
583
+ "truncated": false,
584
+ "block": 5,
585
+ "row": 6193
586
+ },
587
+ {
588
+ "path": "src/RcppExports.cpp",
589
+ "sha256": "9f010c7504e4d804a501124e763b46ec72350c87c88e836b51621455e9fec86c",
590
+ "language": "C++",
591
+ "lines": 580,
592
+ "truncated": false,
593
+ "block": 5,
594
+ "row": 5029
595
+ },
596
+ {
597
+ "path": "src/TrendEngine.cpp",
598
+ "sha256": "db10f826abb84a64c0380e3a4805a487366dfbfc851ea28f1e40b4c69f346e80",
599
+ "language": "C++",
600
+ "lines": 1334,
601
+ "truncated": false,
602
+ "block": 5,
603
+ "row": 5165
604
+ },
605
+ {
606
+ "path": "src/TrendEngine.h",
607
+ "sha256": "a60060220a926a96da6af866ef49eda5e3426b9a452d8fd2daf5901bcbf29816",
608
+ "language": "C/C++",
609
+ "lines": 314,
610
+ "truncated": false,
611
+ "block": 5,
612
+ "row": 8791
613
+ },
614
+ {
615
+ "path": "src/build_info.cpp",
616
+ "sha256": "cd9a06ea6767c7bab2f7cbbdc613c71bf6cf36d8739ca76fd51a08c499ba04ae",
617
+ "language": "C++",
618
+ "lines": 14,
619
+ "truncated": false,
620
+ "block": 5,
621
+ "row": 1180
622
+ },
623
+ {
624
+ "path": "src/custom_trend_interface.cpp",
625
+ "sha256": "8cc7c4e61b6012b8293ec8f102097d562e4ce29c8b9d1c2aa5f41e3d88ba3949",
626
+ "language": "C++",
627
+ "lines": 17,
628
+ "truncated": false,
629
+ "block": 5,
630
+ "row": 1268
631
+ },
632
+ {
633
+ "path": "src/fa.cpp",
634
+ "sha256": "ca627bd19a0c4b8b1515dc9ca0452034449012d7924063eef6a76e0576363747",
635
+ "language": "C++",
636
+ "lines": 128,
637
+ "truncated": false,
638
+ "block": 5,
639
+ "row": 3289
640
+ },
641
+ {
642
+ "path": "src/fncs_seven.cpp",
643
+ "sha256": "9515a6a2a4cce0b1eaa7797d69bf871c25553a80eec675bca137ee703cac10bf",
644
+ "language": "C++",
645
+ "lines": 105,
646
+ "truncated": false,
647
+ "block": 5,
648
+ "row": 2814
649
+ },
650
+ {
651
+ "path": "src/fncs_seven.h",
652
+ "sha256": "945e1e16a582b2929f86ea1d0ddba91711c0effcfd6e9eee13413514c79a733b",
653
+ "language": "C/C++",
654
+ "lines": 20,
655
+ "truncated": false,
656
+ "block": 5,
657
+ "row": 5756
658
+ },
659
+ {
660
+ "path": "src/gauss.h",
661
+ "sha256": "b5eb43f39b4500405c8fbd8fc9c5ff43032b2be4d5404dcdcaab4d8328b755f5",
662
+ "language": "C/C++",
663
+ "lines": 63,
664
+ "truncated": false,
665
+ "block": 5,
666
+ "row": 6959
667
+ },
668
+ {
669
+ "path": "src/group_designs.cpp",
670
+ "sha256": "72c6af0db90536f3b64fb95a02c7a1c59851c4a1b172d391571935643a13f3c1",
671
+ "language": "C++",
672
+ "lines": 192,
673
+ "truncated": false,
674
+ "block": 5,
675
+ "row": 3793
676
+ },
677
+ {
678
+ "path": "src/hcubature.cpp",
679
+ "sha256": "3977f8c4f3b74117feb9fda037ba7019e062fa657b9a93272f767c956615a944",
680
+ "language": "C++",
681
+ "lines": 707,
682
+ "truncated": false,
683
+ "block": 5,
684
+ "row": 4827
685
+ },
686
+ {
687
+ "path": "src/kernels.cpp",
688
+ "sha256": "bc9f1447c7c8ad3ee9ee3a3d993d9cd9d5da026fe5b13ee909120052f6fe8edd",
689
+ "language": "C++",
690
+ "lines": 50,
691
+ "truncated": false,
692
+ "block": 5,
693
+ "row": 2512
694
+ },
695
+ {
696
+ "path": "src/kernels.h",
697
+ "sha256": "8daec4edd010de0d79ace2a7306a205a81f0f44aae15a38d455e0370f141ef7f",
698
+ "language": "C/C++",
699
+ "lines": 1109,
700
+ "truncated": false,
701
+ "block": 5,
702
+ "row": 9787
703
+ },
704
+ {
705
+ "path": "src/math_utils.h",
706
+ "sha256": "e9acd8e073129c14bfcb077f8100f8615f64ae160770b9e83fc479cad86eed5c",
707
+ "language": "C/C++",
708
+ "lines": 32,
709
+ "truncated": false,
710
+ "block": 5,
711
+ "row": 5985
712
+ },
713
+ {
714
+ "path": "src/math_utils_apple.cpp",
715
+ "sha256": "b62069b8e04f8341eae42796c8c2c755c92de9b69532593b5256b17d69cf33bd",
716
+ "language": "C++",
717
+ "lines": 55,
718
+ "truncated": false,
719
+ "block": 5,
720
+ "row": 1498
721
+ },
722
+ {
723
+ "path": "src/math_utils_generic.cpp",
724
+ "sha256": "234be9b53b0e1cc595134f7d621e20cdd1db6ff3d60e1d33f19e73dc768f6185",
725
+ "language": "C++",
726
+ "lines": 57,
727
+ "truncated": false,
728
+ "block": 5,
729
+ "row": 1477
730
+ },
731
+ {
732
+ "path": "src/model_DDM.h",
733
+ "sha256": "99ac9a596b183b7a69dd02dbef1598fd55bd8cedfef656e9bea1ed470dd94197",
734
+ "language": "C/C++",
735
+ "lines": 47,
736
+ "truncated": false,
737
+ "block": 5,
738
+ "row": 6419
739
+ },
740
+ {
741
+ "path": "src/model_LBA.h",
742
+ "sha256": "fe93a148a64891054716f0052e7a80444227f70d580ae8468a32f33a6ded46bd",
743
+ "language": "C/C++",
744
+ "lines": 343,
745
+ "truncated": false,
746
+ "block": 5,
747
+ "row": 8950
748
+ },
749
+ {
750
+ "path": "src/model_MRI.h",
751
+ "sha256": "a33be364a0cdc59447174b47e7cbeb307240c0dd9fc9bd8f55d129bda0a61f38",
752
+ "language": "C/C++",
753
+ "lines": 229,
754
+ "truncated": false,
755
+ "block": 5,
756
+ "row": 8533
757
+ },
758
+ {
759
+ "path": "src/model_RDM.h",
760
+ "sha256": "18fa9ca0ff4ff96f42d709a26b8b79876a91b729c4e27aef44d7d0161ebeb7b3",
761
+ "language": "C/C++",
762
+ "lines": 715,
763
+ "truncated": false,
764
+ "block": 5,
765
+ "row": 9602
766
+ },
767
+ {
768
+ "path": "src/model_SS_EXG.cpp",
769
+ "sha256": "db65e46a77706c8fdb6459e82a23902fce0f993c32ba1023747d5c59c37cebce",
770
+ "language": "C++",
771
+ "lines": 109,
772
+ "truncated": false,
773
+ "block": 5,
774
+ "row": 2725
775
+ },
776
+ {
777
+ "path": "src/model_SS_RDEX.cpp",
778
+ "sha256": "c319e9e593351f42573a193e8682888f0a280c6e16e629dbb2e6d0bf822e4d10",
779
+ "language": "C++",
780
+ "lines": 259,
781
+ "truncated": false,
782
+ "block": 5,
783
+ "row": 3903
784
+ },
785
+ {
786
+ "path": "src/model_fMRI.h",
787
+ "sha256": "a33ef813fd9c013782396d8d52bf7f9ea19671f7a6ef5984932ffd70294df817",
788
+ "language": "C/C++",
789
+ "lines": 28,
790
+ "truncated": false,
791
+ "block": 5,
792
+ "row": 5937
793
+ },
794
+ {
795
+ "path": "src/model_lnr.h",
796
+ "sha256": "9053d3f64bb7d93d100c690e8292e6f21cb9b7099e463950f0161cbcb33aa80a",
797
+ "language": "C/C++",
798
+ "lines": 180,
799
+ "truncated": false,
800
+ "block": 5,
801
+ "row": 7963
802
+ },
803
+ {
804
+ "path": "src/mri.cpp",
805
+ "sha256": "5fe60bffe5f6ea55f411d8b49b22f638fd9d424a09c9d07bc9739d3eee7867b0",
806
+ "language": "C++",
807
+ "lines": 719,
808
+ "truncated": false,
809
+ "block": 5,
810
+ "row": 4950
811
+ },
812
+ {
813
+ "path": "src/nan_check.h",
814
+ "sha256": "f30da41c10106cc142fe0017ec44bb18da6c90bfaa8e9e087c9190c7e4cfed48",
815
+ "language": "C/C++",
816
+ "lines": 48,
817
+ "truncated": false,
818
+ "block": 5,
819
+ "row": 6513
820
+ },
821
+ {
822
+ "path": "src/param_table_interface.cpp",
823
+ "sha256": "43faf8297b44f2b2e1d7e1bf4ca7c6e3871768826517fe153ac874bd1ab99f7d",
824
+ "language": "C++",
825
+ "lines": 401,
826
+ "truncated": false,
827
+ "block": 5,
828
+ "row": 4555
829
+ },
830
+ {
831
+ "path": "src/particle_ll.cpp",
832
+ "sha256": "6e474dc88e2fbec7b3203c2549c1f27d8795a3e877dd5aba0f0f784580aeaff4",
833
+ "language": "C++",
834
+ "lines": 714,
835
+ "truncated": false,
836
+ "block": 5,
837
+ "row": 4957
838
+ },
839
+ {
840
+ "path": "src/pdf_fncs.cpp",
841
+ "sha256": "01cf65621caa8b93c6b45c7c91cb56f418056bc6f8c4245d30123234cef53699",
842
+ "language": "C++",
843
+ "lines": 183,
844
+ "truncated": false,
845
+ "block": 5,
846
+ "row": 3493
847
+ },
848
+ {
849
+ "path": "src/pdf_fncs.h",
850
+ "sha256": "acdfc0fcc9adb756e114583e89413ea5492a5ed9e4b89cb603f86aab42ea464e",
851
+ "language": "C/C++",
852
+ "lines": 21,
853
+ "truncated": false,
854
+ "block": 5,
855
+ "row": 5768
856
+ },
857
+ {
858
+ "path": "src/pnorm_utils.h",
859
+ "sha256": "d9b597e0960d0578f9acac23b81227efa5763fbd2a41d698b36dcb07d22bba7f",
860
+ "language": "C/C++",
861
+ "lines": 244,
862
+ "truncated": false,
863
+ "block": 5,
864
+ "row": 8583
865
+ },
866
+ {
867
+ "path": "src/tools.cpp",
868
+ "sha256": "e8db0a21b3d35a69184f0f7e9cb7189d754471b2d927e2191eedc7f891a3c635",
869
+ "language": "C++",
870
+ "lines": 679,
871
+ "truncated": false,
872
+ "block": 5,
873
+ "row": 4593
874
+ },
875
+ {
876
+ "path": "src/tools.h",
877
+ "sha256": "a334c628081efb78a8eb8561f384bf0ed1aeb8d86835ac47b51a9e7d0d6c2fd7",
878
+ "language": "C/C++",
879
+ "lines": 246,
880
+ "truncated": false,
881
+ "block": 5,
882
+ "row": 8256
883
+ },
884
+ {
885
+ "path": "src/transform_utils.cpp",
886
+ "sha256": "9e95ef6503508ac5ea156a266a5e6297f21b60ac03ed630c63b9371ae5f75cbd",
887
+ "language": "C++",
888
+ "lines": 375,
889
+ "truncated": false,
890
+ "block": 5,
891
+ "row": 4255
892
+ },
893
+ {
894
+ "path": "src/transform_utils.h",
895
+ "sha256": "8902e8376c8fd121639c45e4d3054fd6ef6cb90ed8c2e44504fe8d85c906da8a",
896
+ "language": "C/C++",
897
+ "lines": 62,
898
+ "truncated": false,
899
+ "block": 5,
900
+ "row": 6632
901
+ },
902
+ {
903
+ "path": "src/utility_functions.h",
904
+ "sha256": "17e86f2d66be595353fc31b1fa52b398bdc3ba2fc2851a7df1b92cecf28318dc",
905
+ "language": "C/C++",
906
+ "lines": 330,
907
+ "truncated": false,
908
+ "block": 5,
909
+ "row": 8534
910
+ },
911
+ {
912
+ "path": "tests/testthat.R",
913
+ "sha256": "836f9a1e8e34a38fd4f1edd5530f74dea0ba856bcb0a3e3c1b563d2a46fdf9a0",
914
+ "language": "R",
915
+ "lines": 12,
916
+ "truncated": false,
917
+ "block": 8,
918
+ "row": 1364
919
+ },
920
+ {
921
+ "path": "tests/testthat/test-RACE.R",
922
+ "sha256": "f2d92e8cda917f3ea2e3cc9433c86b9e1e5d7bb26fc4b1f4eb6d06d7ec12d7f4",
923
+ "language": "R",
924
+ "lines": 26,
925
+ "truncated": false,
926
+ "block": 8,
927
+ "row": 1557
928
+ },
929
+ {
930
+ "path": "tests/testthat/test-S3.R",
931
+ "sha256": "88d2996ae8e2bc19759beee4c8a135542f3ba8331e7376ddbf6f80e4f9a392d3",
932
+ "language": "R",
933
+ "lines": 16,
934
+ "truncated": false,
935
+ "block": 8,
936
+ "row": 1358
937
+ },
938
+ {
939
+ "path": "tests/testthat/test-choice.R",
940
+ "sha256": "9cb066d418b88ca8f878146aae3f734d29d63b34abe279f1d2c99dabc5efc997",
941
+ "language": "R",
942
+ "lines": 66,
943
+ "truncated": false,
944
+ "block": 8,
945
+ "row": 2497
946
+ },
947
+ {
948
+ "path": "tests/testthat/test-compare.R",
949
+ "sha256": "523911a6296972c4f12faa4d53f81fc8da1ac697ab010cfa8b06f56ca429b819",
950
+ "language": "R",
951
+ "lines": 16,
952
+ "truncated": false,
953
+ "block": 8,
954
+ "row": 1380
955
+ },
956
+ {
957
+ "path": "tests/testthat/test-customLL.R",
958
+ "sha256": "c3fa6be889d869405d366df15fb110416bcc86d43cffad2e12329a97b84020d7",
959
+ "language": "R",
960
+ "lines": 24,
961
+ "truncated": false,
962
+ "block": 8,
963
+ "row": 1504
964
+ },
965
+ {
966
+ "path": "tests/testthat/test-fMRI.R",
967
+ "sha256": "8e95eb92debee96c82cb970c39c4d902615f864b153675232fd48be5b47aa143",
968
+ "language": "R",
969
+ "lines": 59,
970
+ "truncated": false,
971
+ "block": 8,
972
+ "row": 1845
973
+ },
974
+ {
975
+ "path": "tests/testthat/test-fit.R",
976
+ "sha256": "879be4c259f6f84ef93e7da2a19e21b37981f89d09283eb0a50bad0f52c85beb",
977
+ "language": "R",
978
+ "lines": 38,
979
+ "truncated": false,
980
+ "block": 8,
981
+ "row": 1738
982
+ },
983
+ {
984
+ "path": "tests/testthat/test-group.R",
985
+ "sha256": "a08226a7621dce8aa89c0f8a8d6bc71b31e1bdfd9030159fc7aa18f75ea38c82",
986
+ "language": "R",
987
+ "lines": 35,
988
+ "truncated": false,
989
+ "block": 8,
990
+ "row": 1787
991
+ },
992
+ {
993
+ "path": "tests/testthat/test-joint.R",
994
+ "sha256": "3505c0e0d66365f6e6968f7506243add0a7d0da34b601cd506e0693729542f5a",
995
+ "language": "R",
996
+ "lines": 16,
997
+ "truncated": false,
998
+ "block": 8,
999
+ "row": 1437
1000
+ },
1001
+ {
1002
+ "path": "tests/testthat/test-kernels.R",
1003
+ "sha256": "295d1d7d7587ddcdd057dfa19638fee4db104fef47b4e20bb5e8d1ac3b6598c6",
1004
+ "language": "R",
1005
+ "lines": 373,
1006
+ "truncated": false,
1007
+ "block": 8,
1008
+ "row": 4572
1009
+ },
1010
+ {
1011
+ "path": "tests/testthat/test-likelihoods.R",
1012
+ "sha256": "9446da69634354bbcc2a3b977350866f0b85bf5ec94c5c7105a137376869d19c",
1013
+ "language": "R",
1014
+ "lines": 106,
1015
+ "truncated": false,
1016
+ "block": 8,
1017
+ "row": 2873
1018
+ },
1019
+ {
1020
+ "path": "tests/testthat/test-make_design.R",
1021
+ "sha256": "7bcc264f954e889afb8dc0327921660ef95571a1b1553fb139fd55c4a370ff6a",
1022
+ "language": "R",
1023
+ "lines": 24,
1024
+ "truncated": false,
1025
+ "block": 8,
1026
+ "row": 1554
1027
+ },
1028
+ {
1029
+ "path": "tests/testthat/test-make_emc.R",
1030
+ "sha256": "675c21a79d68f7ef15e9df61f1b83ef2d00c47699ebdc5ba78ce2c74c7da5db1",
1031
+ "language": "R",
1032
+ "lines": 20,
1033
+ "truncated": false,
1034
+ "block": 8,
1035
+ "row": 1510
1036
+ },
1037
+ {
1038
+ "path": "tests/testthat/test-map.R",
1039
+ "sha256": "6ea5182c11aefc57d736de8acdf9a3144715c7630a070fcfcca881a11305f6ed",
1040
+ "language": "R",
1041
+ "lines": 23,
1042
+ "truncated": false,
1043
+ "block": 8,
1044
+ "row": 1521
1045
+ },
1046
+ {
1047
+ "path": "tests/testthat/test-memory_saver.R",
1048
+ "sha256": "4584de7684dac63792192e5715a82ace69a2b19e97a1311c5ed4a16aa6a6eab2",
1049
+ "language": "R",
1050
+ "lines": 28,
1051
+ "truncated": false,
1052
+ "block": 8,
1053
+ "row": 1502
1054
+ },
1055
+ {
1056
+ "path": "tests/testthat/test-model_functions.R",
1057
+ "sha256": "68871ac89548402188bee30dd9cbb656310ddb61e99077366f603e835d1268b6",
1058
+ "language": "R",
1059
+ "lines": 73,
1060
+ "truncated": false,
1061
+ "block": 8,
1062
+ "row": 2451
1063
+ },
1064
+ {
1065
+ "path": "tests/testthat/test-new_models.R",
1066
+ "sha256": "5f8a1ea1630eacaafb5b9f83a16e5d71af2150a226522a105368d56d0a875792",
1067
+ "language": "R",
1068
+ "lines": 24,
1069
+ "truncated": false,
1070
+ "block": 8,
1071
+ "row": 1558
1072
+ },
1073
+ {
1074
+ "path": "tests/testthat/test-pairs_posterior.R",
1075
+ "sha256": "ef406368b6427cab1636b0bf1b3f00f97a18f20fa18af959862d88ca0ef0fba9",
1076
+ "language": "R",
1077
+ "lines": 4,
1078
+ "truncated": false,
1079
+ "block": 8,
1080
+ "row": 1282
1081
+ },
1082
+ {
1083
+ "path": "tests/testthat/test-plot_chains.R",
1084
+ "sha256": "bd5cdca93959c68a68d744fd7ce2c6cf5da178400531f4a8229ef1d9bc2b71c3",
1085
+ "language": "R",
1086
+ "lines": 5,
1087
+ "truncated": false,
1088
+ "block": 8,
1089
+ "row": 1277
1090
+ },
1091
+ {
1092
+ "path": "tests/testthat/test-plot_fit.R",
1093
+ "sha256": "570363e32dec017ef23e48757e0b326b403ed03582986e218bfa90869e3f22d8",
1094
+ "language": "R",
1095
+ "lines": 14,
1096
+ "truncated": false,
1097
+ "block": 8,
1098
+ "row": 1487
1099
+ },
1100
+ {
1101
+ "path": "tests/testthat/test-plot_pars.R",
1102
+ "sha256": "d1420a9a4183b9103e4495e069dcb18ecff928a0b60bf17dab79db9aae544bff",
1103
+ "language": "R",
1104
+ "lines": 6,
1105
+ "truncated": false,
1106
+ "block": 8,
1107
+ "row": 1314
1108
+ },
1109
+ {
1110
+ "path": "tests/testthat/test-plot_relations.R",
1111
+ "sha256": "9ca506f17c1ad362eaf01f670ff96febb22df1c645e2acd43dcad6a086a5c5b0",
1112
+ "language": "R",
1113
+ "lines": 4,
1114
+ "truncated": false,
1115
+ "block": 8,
1116
+ "row": 1330
1117
+ },
1118
+ {
1119
+ "path": "tests/testthat/test-profile.R",
1120
+ "sha256": "4f3a4895e3dbc09a2eec33d96b204fabc6620bd4281be085c06ad8d41b8f101a",
1121
+ "language": "R",
1122
+ "lines": 6,
1123
+ "truncated": false,
1124
+ "block": 8,
1125
+ "row": 1306
1126
+ },
1127
+ {
1128
+ "path": "tests/testthat/test-stopS.R",
1129
+ "sha256": "2a029ed83a7b9fc59b9f8b938d93d6a63a09bf47abeacb78b136e4895ca78c23",
1130
+ "language": "R",
1131
+ "lines": 30,
1132
+ "truncated": false,
1133
+ "block": 8,
1134
+ "row": 1624
1135
+ },
1136
+ {
1137
+ "path": "tests/testthat/test-trend.R",
1138
+ "sha256": "d9fc06124eba5a766b3f3ed438330b361bd94d24fc15e8ef4d92c8507205834b",
1139
+ "language": "R",
1140
+ "lines": 462,
1141
+ "truncated": false,
1142
+ "block": 8,
1143
+ "row": 4595
1144
+ },
1145
+ {
1146
+ "path": "tests/testthat/test-variant_funs.R",
1147
+ "sha256": "5f85927137ffb27bd1faf967050e95e4d5b35d740dec79bd01ee22973d0ddd28",
1148
+ "language": "R",
1149
+ "lines": 88,
1150
+ "truncated": false,
1151
+ "block": 8,
1152
+ "row": 2492
1153
+ },
1154
+ {
1155
+ "path": "vignettes/DDM.Rmd",
1156
+ "sha256": "87f01e340e04cf7ff45463c4bf437af33f2a8292390f47d219646b1bda4e2ecd",
1157
+ "language": "R",
1158
+ "lines": 211,
1159
+ "truncated": false,
1160
+ "block": 8,
1161
+ "row": 3447
1162
+ },
1163
+ {
1164
+ "path": "vignettes/Simulation-based-Calibration.Rmd",
1165
+ "sha256": "8ad13a1f970c5f3d1b3230aa8b4ea6bdbff5b06d38fe95885495f3c50a2bac94",
1166
+ "language": "R",
1167
+ "lines": 327,
1168
+ "truncated": false,
1169
+ "block": 8,
1170
+ "row": 4674
1171
+ },
1172
+ {
1173
+ "path": "vignettes/race-models.Rmd",
1174
+ "sha256": "ff3c4106ae06e25d462b232a324f973a6445a561181cc64b1be9aaa412cd7bb0",
1175
+ "language": "R",
1176
+ "lines": 213,
1177
+ "truncated": false,
1178
+ "block": 8,
1179
+ "row": 3418
1180
+ },
1181
+ {
1182
+ "path": "vignettes/response-models.Rmd",
1183
+ "sha256": "933359f0584cf40699fb75e3d86c58e021786d51ca6db6b5112a8b80cd423a4c",
1184
+ "language": "R",
1185
+ "lines": 208,
1186
+ "truncated": false,
1187
+ "block": 8,
1188
+ "row": 3490
1189
+ },
1190
+ {
1191
+ "path": "vignettes/trends.Rmd",
1192
+ "sha256": "01f84e8b6e9031b5e4ef47b9a1d916e0d1040b5a7ea7bf447647f213ace00546",
1193
+ "language": "R",
1194
+ "lines": 586,
1195
+ "truncated": false,
1196
+ "block": 8,
1197
+ "row": 4779
1198
+ }
1199
+ ]
1200
+ }
manifests/6d/github.com__maxschebek__bgmat.json ADDED
@@ -0,0 +1,291 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/maxschebek/bgmat",
4
+ "url": "https://github.com/maxschebek/bgmat",
5
+ "host": "github.com",
6
+ "commit": "6e3db2b3453cb57eb16fdd2148c95ec35264faf4",
7
+ "license": "Apache-2.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "58d1e17ffe5109a7ae296caafcadfdbe6a7d176f0bc4ab01e12a689b0499d8bd",
14
+ "language": "License",
15
+ "lines": 202,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 2068
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "e8cda21732c5ba482be8a66af44f3ec4a57aef48c32a0841b8dbf45f266fc86a",
23
+ "language": "Text",
24
+ "lines": 57,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10140
28
+ },
29
+ {
30
+ "path": "bgmat/experiments/augmented_lennard_jones_config.py",
31
+ "sha256": "2143a11b4918a024fc418fe267531202d26c5879758ee66866d74f35101a79c4",
32
+ "language": "Python",
33
+ "lines": 170,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 42485
37
+ },
38
+ {
39
+ "path": "bgmat/experiments/augmented_monatomic_water_config.py",
40
+ "sha256": "c74e76ecc5d4052968671ed488fab25cb4587350734d04c30b4297a09ee7a0b4",
41
+ "language": "Python",
42
+ "lines": 171,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 42735
46
+ },
47
+ {
48
+ "path": "bgmat/experiments/augmented_monatomic_water_config_lambda_vol_conditional.py",
49
+ "sha256": "8ce956fad1c090c6e7664a5e17cfb1953a6be8c6eb9fefd395eeaff3d1bd3321",
50
+ "language": "Python",
51
+ "lines": 250,
52
+ "truncated": false,
53
+ "block": 7,
54
+ "row": 523
55
+ },
56
+ {
57
+ "path": "bgmat/experiments/augmented_monatomic_water_temp_vol_config.py",
58
+ "sha256": "f2c5274c038e1eb52b3660ec3ee2dab35c4925f19ba2e160787d38c7520d0703",
59
+ "language": "Python",
60
+ "lines": 204,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 44494
64
+ },
65
+ {
66
+ "path": "bgmat/experiments/evaluate_augmented_nvt.py",
67
+ "sha256": "5ee1c26d7900aa1a0343597e7ad319d9a025990dc6775ff44495caa829953c41",
68
+ "language": "Python",
69
+ "lines": 187,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 43736
73
+ },
74
+ {
75
+ "path": "bgmat/experiments/legendre.py",
76
+ "sha256": "f0f056adf1f3da76abb89458c297ad0c4ec8079777cab525540475a8458bf7df",
77
+ "language": "Python",
78
+ "lines": 436,
79
+ "truncated": false,
80
+ "block": 7,
81
+ "row": 6776
82
+ },
83
+ {
84
+ "path": "bgmat/experiments/train_augmented_nvt.py",
85
+ "sha256": "1eb283245738e9095167d022764b22c9c4456dfcbcacd51df3c3da24bd21a6a5",
86
+ "language": "Python",
87
+ "lines": 426,
88
+ "truncated": false,
89
+ "block": 7,
90
+ "row": 5601
91
+ },
92
+ {
93
+ "path": "bgmat/experiments/train_augmented_nvt_sw_lambda_vol_conditional.py",
94
+ "sha256": "814e5f0fa101f48ea71b12938a1842ef21a2964eb4811ecdb926bf60cbb5bc5c",
95
+ "language": "Python",
96
+ "lines": 353,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 4677
100
+ },
101
+ {
102
+ "path": "bgmat/experiments/train_augmented_nvt_temp_vol_conditional.py",
103
+ "sha256": "ac44f6d0ba0977d0b385f1f1fd50dc869f808abcca34e4c5bde98314a530d722",
104
+ "language": "Python",
105
+ "lines": 354,
106
+ "truncated": false,
107
+ "block": 7,
108
+ "row": 4685
109
+ },
110
+ {
111
+ "path": "bgmat/experiments/utils.py",
112
+ "sha256": "6963c3903e18206e45116ed9db04bbfdc881a04d0345bcd33c697595b57306ad",
113
+ "language": "Python",
114
+ "lines": 287,
115
+ "truncated": false,
116
+ "block": 7,
117
+ "row": 2827
118
+ },
119
+ {
120
+ "path": "bgmat/models/__init__.py",
121
+ "sha256": "ea83a67b8cd78652ec1f58dee3c6538edb26e3121043746d7ee77b5a27b68981",
122
+ "language": "Python",
123
+ "lines": 14,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 23306
127
+ },
128
+ {
129
+ "path": "bgmat/models/augmented_coupling_flows.py",
130
+ "sha256": "f5c86e8e09a2d3d5da90fc8ced84dc1e7314ab51859c673770da84b81528aa56",
131
+ "language": "Python",
132
+ "lines": 184,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 44445
136
+ },
137
+ {
138
+ "path": "bgmat/models/center_of_mass.py",
139
+ "sha256": "f68f7d7c86dc8f72fba79ca369c3ead6074bcfc0741f75c825a1e72ddf6f71ef",
140
+ "language": "Python",
141
+ "lines": 161,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 40735
145
+ },
146
+ {
147
+ "path": "bgmat/models/conditional_split_coupling.py",
148
+ "sha256": "67cd197fc979a29c0615a1e08280468e49aa8cc79aaff6129b2abfc6c245dacb",
149
+ "language": "Python",
150
+ "lines": 514,
151
+ "truncated": false,
152
+ "block": 7,
153
+ "row": 8943
154
+ },
155
+ {
156
+ "path": "bgmat/models/embeddings.py",
157
+ "sha256": "ef11d20d208d09e2cf0038afde1dd08901654c430ee9979e12e80fa623d6209e",
158
+ "language": "Python",
159
+ "lines": 143,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 41493
163
+ },
164
+ {
165
+ "path": "bgmat/models/gnn_conditioner.py",
166
+ "sha256": "06bbe4198f9e52803e1e4e08813b48877ee17d6d13bdc1c728f724fcb8a929b1",
167
+ "language": "Python",
168
+ "lines": 477,
169
+ "truncated": false,
170
+ "block": 7,
171
+ "row": 7694
172
+ },
173
+ {
174
+ "path": "bgmat/models/particle_models.py",
175
+ "sha256": "904588683571896fb1c8613a4afc893424ef95555db09e340d4267361a59dd30",
176
+ "language": "Python",
177
+ "lines": 688,
178
+ "truncated": false,
179
+ "block": 7,
180
+ "row": 9564
181
+ },
182
+ {
183
+ "path": "bgmat/models/utils.py",
184
+ "sha256": "bf2624447dd109273b49c746d2abeff5411c37182da1c2c2ec2136af80d3288d",
185
+ "language": "Python",
186
+ "lines": 67,
187
+ "truncated": false,
188
+ "block": 6,
189
+ "row": 32486
190
+ },
191
+ {
192
+ "path": "bgmat/systems/__init__.py",
193
+ "sha256": "3a1722620d3f7f74a5efb38c435286d7c8ec5650e1339d7d39234f3919cbdfb7",
194
+ "language": "Python",
195
+ "lines": 20,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 24483
199
+ },
200
+ {
201
+ "path": "bgmat/systems/energies.py",
202
+ "sha256": "3b65c8393128c5758fb3aa268dfedd90196def263db53434fb43c5cdec6b9d32",
203
+ "language": "Python",
204
+ "lines": 325,
205
+ "truncated": false,
206
+ "block": 7,
207
+ "row": 5017
208
+ },
209
+ {
210
+ "path": "bgmat/systems/lennard_jones.py",
211
+ "sha256": "692623a3360eeae7d6f70bda80ce0dda3b41c7d506fb2f1653cef54612d2a3d4",
212
+ "language": "Python",
213
+ "lines": 120,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 41580
217
+ },
218
+ {
219
+ "path": "bgmat/systems/monatomic_water.py",
220
+ "sha256": "0d8e56eb4d805237890a7cef407209070618be20cd9a6154f5cd5ecbfd989873",
221
+ "language": "Python",
222
+ "lines": 166,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 43967
226
+ },
227
+ {
228
+ "path": "bgmat/systems/stillinger_weber.py",
229
+ "sha256": "9bdb3e733fe618a5523dbb9dc68a432849ff865e084c501b778cc5d527e2bb69",
230
+ "language": "Python",
231
+ "lines": 297,
232
+ "truncated": false,
233
+ "block": 7,
234
+ "row": 4214
235
+ },
236
+ {
237
+ "path": "bgmat/utils/__init__.py",
238
+ "sha256": "aa0ba0c6e5c5248cce4771d9385a9956846586bc068c1f9f9dacb9fced0881ab",
239
+ "language": "Python",
240
+ "lines": 14,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 23314
244
+ },
245
+ {
246
+ "path": "bgmat/utils/lattice_utils.py",
247
+ "sha256": "0d42118fe75c8e3203d9f73a7d64d252d00f2dd99fcce58e2890f882c9b2757b",
248
+ "language": "Python",
249
+ "lines": 185,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 45044
253
+ },
254
+ {
255
+ "path": "bgmat/utils/marginal.py",
256
+ "sha256": "5aba83eba8dcb3b7fa04b60df66193557dae9f31b144f40e141ced25ebe97727",
257
+ "language": "Python",
258
+ "lines": 96,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 37507
262
+ },
263
+ {
264
+ "path": "bgmat/utils/observable_utils.py",
265
+ "sha256": "05a278291cebbed9095a1315204953220b1920ada6ba14acb32b1364008e0a59",
266
+ "language": "Python",
267
+ "lines": 358,
268
+ "truncated": false,
269
+ "block": 7,
270
+ "row": 5600
271
+ },
272
+ {
273
+ "path": "setup.py",
274
+ "sha256": "cb35662503fec90a68692f4e119a026c7cce36418d5e9ea2814540a49d2b0be2",
275
+ "language": "Python",
276
+ "lines": 22,
277
+ "truncated": false,
278
+ "block": 6,
279
+ "row": 22694
280
+ },
281
+ {
282
+ "path": "tutorial/notebook_example.ipynb",
283
+ "sha256": "e59f0f27a537a38ce4246ceba235f2279eee023ab16716b5841204eea9f0abb1",
284
+ "language": "Jupyter",
285
+ "lines": 256,
286
+ "truncated": false,
287
+ "block": 5,
288
+ "row": 17498
289
+ }
290
+ ]
291
+ }
manifests/6d/github.com__sun-lab__sdan.json ADDED
@@ -0,0 +1,723 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/sun-lab/sdan",
4
+ "url": "https://github.com/Sun-lab/SDAN",
5
+ "host": "github.com",
6
+ "commit": "958cb977d67b84d45a38801da4a1ea7fbf1111ea",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "Annotation/step1_check_PPI_data.Rmd",
13
+ "sha256": "70f4750514660b19e164d9774d23f5eb03e82d3c15257a062d53353de3c55473",
14
+ "language": "R",
15
+ "lines": 64,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 1651
19
+ },
20
+ {
21
+ "path": "LICENSE",
22
+ "sha256": "97672748bd903dd82dc43ba97f664ce169c2d12120f363c4b697526c8f89a8ba",
23
+ "language": "License",
24
+ "lines": 21,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 1382
28
+ },
29
+ {
30
+ "path": "README.md",
31
+ "sha256": "51dbab07527980d33abc5d3aa1ebbf598d9b93fcc411a7d7a677aa9fa59e99b4",
32
+ "language": "Text",
33
+ "lines": 191,
34
+ "truncated": false,
35
+ "block": 8,
36
+ "row": 10572
37
+ },
38
+ {
39
+ "path": "SDAN/args.py",
40
+ "sha256": "32f336f893dd33b5c93ab62bad975a1f8d0ee4cf8e7776cd7e49b494ba172c91",
41
+ "language": "Python",
42
+ "lines": 33,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 29959
46
+ },
47
+ {
48
+ "path": "SDAN/layers.py",
49
+ "sha256": "c23f35692105bbc5c7f487f51ee615b4a5172a8b98f2b2239f148cc36252271f",
50
+ "language": "Python",
51
+ "lines": 41,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 29517
55
+ },
56
+ {
57
+ "path": "SDAN/model.py",
58
+ "sha256": "a713653de8e13b4c9f0b9757fcbfafaa23db7d40b3c2ee962e5ac9428d900821",
59
+ "language": "Python",
60
+ "lines": 65,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 35150
64
+ },
65
+ {
66
+ "path": "SDAN/preprocess.py",
67
+ "sha256": "a7dd03ddc6fa727abaa5ea2b064cf1c385c94081dfb332b0422b848b76596479",
68
+ "language": "Python",
69
+ "lines": 107,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 40062
73
+ },
74
+ {
75
+ "path": "SDAN/train.py",
76
+ "sha256": "d678861741f445fdbb9968aa9154db0bdf0ed00bb739199510a1780ce3d16f43",
77
+ "language": "Python",
78
+ "lines": 129,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 41295
82
+ },
83
+ {
84
+ "path": "SDAN/utils.py",
85
+ "sha256": "0ecbabe8712ed85e17a795aca070d3e138afbb6e597095db7cd737eee2611180",
86
+ "language": "Python",
87
+ "lines": 150,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 43084
91
+ },
92
+ {
93
+ "path": "SDAN_Comparison/SEA_AD_comparison.py",
94
+ "sha256": "1fce372d6ab5f8885d1a01a0181097db47774b3dd94482d5c4289ab7718fbda0",
95
+ "language": "Python",
96
+ "lines": 606,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 9300
100
+ },
101
+ {
102
+ "path": "SDAN_Comparison/SEA_AD_sdan_evaluation.py",
103
+ "sha256": "aeb14fa9c79dd5a49b4840e5cdae7f433286f15544577d06ce2377d8ae9289e6",
104
+ "language": "Python",
105
+ "lines": 170,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 43686
109
+ },
110
+ {
111
+ "path": "SDAN_Comparison/SEA_AD_spectra_evaluation.py",
112
+ "sha256": "9026a94ffd5698bd08559c8b1e38ae48030e07b9db8f506bf9859f319bd39a2c",
113
+ "language": "Python",
114
+ "lines": 213,
115
+ "truncated": false,
116
+ "block": 7,
117
+ "row": 1052
118
+ },
119
+ {
120
+ "path": "SDAN_Comparison/SEA_AD_spectra_preprocess.py",
121
+ "sha256": "f0a6d1b9c8dcdc94f98f57a7cfae855715edfd2d87080f9910fc8ef3d8d7c050",
122
+ "language": "Python",
123
+ "lines": 121,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 40625
127
+ },
128
+ {
129
+ "path": "SDAN_Comparison/SEA_AD_spectra_training.py",
130
+ "sha256": "1d490790791bcefdb83a0c6acbae42bb9dcc7e7093ec825daa482b5ebd3cc0aa",
131
+ "language": "Python",
132
+ "lines": 167,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 42089
136
+ },
137
+ {
138
+ "path": "SDAN_Comparison/Su_2020_comparison.py",
139
+ "sha256": "173556939c7b89034eaa69e8c8920ad73a15d015dda6d34d97e006a3bb1c50e1",
140
+ "language": "Python",
141
+ "lines": 631,
142
+ "truncated": false,
143
+ "block": 7,
144
+ "row": 9617
145
+ },
146
+ {
147
+ "path": "SDAN_Comparison/Su_2020_sdan_evaluation.py",
148
+ "sha256": "da1da133133996211df19a157f301ae8f284ffafcc47dc9f5be6ca5ae3404828",
149
+ "language": "Python",
150
+ "lines": 176,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 44659
154
+ },
155
+ {
156
+ "path": "SDAN_Comparison/Su_2020_spectra_evaluation.py",
157
+ "sha256": "31138c6aa6fba4b5271e84620f2424774fd20905d32d62c38b28ef09d3797f9a",
158
+ "language": "Python",
159
+ "lines": 216,
160
+ "truncated": false,
161
+ "block": 7,
162
+ "row": 1474
163
+ },
164
+ {
165
+ "path": "SDAN_Comparison/Su_2020_spectra_preprocess.py",
166
+ "sha256": "51add95799c3e78f3386afcab996dc1b085c84ec834ef5c74ac4a453eb7927f6",
167
+ "language": "Python",
168
+ "lines": 130,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 41571
172
+ },
173
+ {
174
+ "path": "SDAN_Comparison/Su_2020_spectra_training.py",
175
+ "sha256": "c99ecd0d5af40ad872fe5b7ed4ede2f7e99d546c0c7f8ec7f79fab027aeb7455",
176
+ "language": "Python",
177
+ "lines": 158,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 41940
181
+ },
182
+ {
183
+ "path": "SDAN_Comparison/Yost_2019_comparison.py",
184
+ "sha256": "520f2a5ab26289c90a984fa3d43184181357185cb46b55040f96df632fd38600",
185
+ "language": "Python",
186
+ "lines": 1054,
187
+ "truncated": false,
188
+ "block": 7,
189
+ "row": 11480
190
+ },
191
+ {
192
+ "path": "SDAN_Comparison/Yost_2019_sdan_evaluation.py",
193
+ "sha256": "0bf5d6299180bd715879a10656975529674f0a02e69226ff09019d8000947c70",
194
+ "language": "Python",
195
+ "lines": 175,
196
+ "truncated": false,
197
+ "block": 6,
198
+ "row": 44686
199
+ },
200
+ {
201
+ "path": "SDAN_Comparison/args.py",
202
+ "sha256": "be71723cfaa30f6b8b6a7410787802ce3156aa7b098d86c4e7de50f87ce3f897",
203
+ "language": "Python",
204
+ "lines": 119,
205
+ "truncated": false,
206
+ "block": 6,
207
+ "row": 43921
208
+ },
209
+ {
210
+ "path": "SDAN_Comparison/combine_Astro_Micro-PVM.py",
211
+ "sha256": "2543c741d18a0ec4593532fedebdce7f352c4b2194d270940165c7b3f91daa94",
212
+ "language": "Python",
213
+ "lines": 102,
214
+ "truncated": false,
215
+ "block": 6,
216
+ "row": 37725
217
+ },
218
+ {
219
+ "path": "SDAN_Comparison/combine_cd4_cd8.py",
220
+ "sha256": "de8fb47796f8cebcff46492f914b2eb9e788c11a4d2798ec7a496a92e0f09e10",
221
+ "language": "Python",
222
+ "lines": 125,
223
+ "truncated": false,
224
+ "block": 6,
225
+ "row": 39020
226
+ },
227
+ {
228
+ "path": "SDAN_Comparison/evaluation.py",
229
+ "sha256": "88a24768755579d70eb06158bf87ebe7617a7000cec854dfcb1480f607fc3180",
230
+ "language": "Python",
231
+ "lines": 172,
232
+ "truncated": false,
233
+ "block": 6,
234
+ "row": 44585
235
+ },
236
+ {
237
+ "path": "SDAN_Comparison/plots.ipynb",
238
+ "sha256": "2f82221a3f4323f27fc476c46e45fc655b19d5c9d803ad2b8e9b6fdd1debf74d",
239
+ "language": "Jupyter",
240
+ "lines": 1194,
241
+ "truncated": false,
242
+ "block": 6,
243
+ "row": 1158
244
+ },
245
+ {
246
+ "path": "SEA_AD.py",
247
+ "sha256": "4496b14339fbcd8b5637c08876132c1df229fc95ff1e37f813c1094ef54e4597",
248
+ "language": "Python",
249
+ "lines": 125,
250
+ "truncated": false,
251
+ "block": 6,
252
+ "row": 40597
253
+ },
254
+ {
255
+ "path": "SEA_AD/step1_pseudo_bulk.py",
256
+ "sha256": "34369052a37ff0b94fa314b1d07c6447c0bde502ba5eaa2cecadd2817195956c",
257
+ "language": "Python",
258
+ "lines": 56,
259
+ "truncated": false,
260
+ "block": 6,
261
+ "row": 28934
262
+ },
263
+ {
264
+ "path": "SEA_AD/step2_check_donors.Rmd",
265
+ "sha256": "70c07e6eb3f4769f2cc92b58db33e9fb2e27b2a865717f7a550660dacbdd6b98",
266
+ "language": "R",
267
+ "lines": 122,
268
+ "truncated": false,
269
+ "block": 8,
270
+ "row": 2547
271
+ },
272
+ {
273
+ "path": "SEA_AD/step3_pseudo_bulk_DE_astro.Rmd",
274
+ "sha256": "fb13af84ff812aac305b3bcc65011401aac92b1977df227f91d27e2f8b6ece7f",
275
+ "language": "R",
276
+ "lines": 546,
277
+ "truncated": false,
278
+ "block": 8,
279
+ "row": 4386
280
+ },
281
+ {
282
+ "path": "SEA_AD/step3_pseudo_bulk_DE_microglia.Rmd",
283
+ "sha256": "c67b21864a62c5bcfa7a110b2a57e695d3bce558de1e88cf70dd74986b554346",
284
+ "language": "R",
285
+ "lines": 572,
286
+ "truncated": false,
287
+ "block": 8,
288
+ "row": 4430
289
+ },
290
+ {
291
+ "path": "SEA_AD/step4_evaluate_gene_sets.Rmd",
292
+ "sha256": "f3ab63bbc1bd7cdda685a5583e78179399708343b8ac4d7b20677726cdf90526",
293
+ "language": "R",
294
+ "lines": 247,
295
+ "truncated": false,
296
+ "block": 8,
297
+ "row": 3341
298
+ },
299
+ {
300
+ "path": "SEA_AD/step4_evaluate_gene_sets_goseq_knit.R",
301
+ "sha256": "70a00410de4bb6d8f167973176693ceb5518f009cd4edc2df2c2db1bbc26ca77",
302
+ "language": "R",
303
+ "lines": 27,
304
+ "truncated": false,
305
+ "block": 8,
306
+ "row": 1460
307
+ },
308
+ {
309
+ "path": "SEA_AD/step4b_summerize_goseq.Rmd",
310
+ "sha256": "2c39383f352e303cb364422f4161a138daa0c6207f7d6a21f0633b67aeec11b0",
311
+ "language": "R",
312
+ "lines": 120,
313
+ "truncated": false,
314
+ "block": 8,
315
+ "row": 2298
316
+ },
317
+ {
318
+ "path": "SEA_AD/step5_evaluate_gene_sets_cell_types.Rmd",
319
+ "sha256": "916957d91373df97b9aa43e407ee63229882f731cb82d592c557f95f5cc0fb9d",
320
+ "language": "R",
321
+ "lines": 174,
322
+ "truncated": false,
323
+ "block": 8,
324
+ "row": 2807
325
+ },
326
+ {
327
+ "path": "SEA_AD/step5_evaluate_gene_sets_cell_types_knit.R",
328
+ "sha256": "c8c4700b4d9917b0e5ff8dc2d60251b091a237bcad715a5d876c6a4c1c691342",
329
+ "language": "R",
330
+ "lines": 27,
331
+ "truncated": false,
332
+ "block": 8,
333
+ "row": 1473
334
+ },
335
+ {
336
+ "path": "SEA_AD/step6_check_results.Rmd",
337
+ "sha256": "f2b4b25a14f76df7c0cc06eb246a7115aca4eba2887fac88a2c86aa775551ddb",
338
+ "language": "R",
339
+ "lines": 233,
340
+ "truncated": false,
341
+ "block": 8,
342
+ "row": 3267
343
+ },
344
+ {
345
+ "path": "SEA_AD/step6_check_results.py",
346
+ "sha256": "87e17c0177aefde032b4f8284a845c5419d8cf1005874af4725d93f5cbd258aa",
347
+ "language": "Python",
348
+ "lines": 9,
349
+ "truncated": false,
350
+ "block": 6,
351
+ "row": 21374
352
+ },
353
+ {
354
+ "path": "SEA_AD/step6_check_results_knit.R",
355
+ "sha256": "1508dd336e3c01f6385c967102e86f8f349a45fdcefc8b0fa8ee58519fad1928",
356
+ "language": "R",
357
+ "lines": 27,
358
+ "truncated": false,
359
+ "block": 8,
360
+ "row": 1450
361
+ },
362
+ {
363
+ "path": "SEA_AD/step7_check_patient_subset.Rmd",
364
+ "sha256": "937bff8d4ec441c4e7d96ec9af722818c40dfe8b47e9afec48e6521335afe963",
365
+ "language": "R",
366
+ "lines": 330,
367
+ "truncated": false,
368
+ "block": 8,
369
+ "row": 4060
370
+ },
371
+ {
372
+ "path": "SEA_AD_plot.py",
373
+ "sha256": "5d505900500dfa22c466b82193a0c348e1643fbf87b83062dd97bb4648c22cf3",
374
+ "language": "Python",
375
+ "lines": 89,
376
+ "truncated": false,
377
+ "block": 6,
378
+ "row": 39870
379
+ },
380
+ {
381
+ "path": "SF_2018/step1_prepare_data.Rmd",
382
+ "sha256": "df04ad7e9c1bf96b453d113d519dfe68269f1d835df82733e4de0090c904834b",
383
+ "language": "R",
384
+ "lines": 277,
385
+ "truncated": false,
386
+ "block": 8,
387
+ "row": 3643
388
+ },
389
+ {
390
+ "path": "SF_2018/step2_pseudo_bulk_DE.Rmd",
391
+ "sha256": "76931b1eff8a4bcfb627ee4992e59efc2c62d248873bacf7468228bef13ea541",
392
+ "language": "R",
393
+ "lines": 308,
394
+ "truncated": false,
395
+ "block": 8,
396
+ "row": 3609
397
+ },
398
+ {
399
+ "path": "SF_2018/step3_evaluate_gene_sets.Rmd",
400
+ "sha256": "28d253ed6d714eb9c53624a6a8683f8a73fef096f1b0aa272dada2c83d61eba0",
401
+ "language": "R",
402
+ "lines": 206,
403
+ "truncated": false,
404
+ "block": 8,
405
+ "row": 3034
406
+ },
407
+ {
408
+ "path": "SF_2018/step4_evaluate_gene_sets_cell_types.Rmd",
409
+ "sha256": "a7bc7364257e06530fcf5dfa5bbbe50a7233090ca7ba08bb82ab80b2f470be36",
410
+ "language": "R",
411
+ "lines": 174,
412
+ "truncated": false,
413
+ "block": 8,
414
+ "row": 2844
415
+ },
416
+ {
417
+ "path": "SF_2018/step5_check_results.Rmd",
418
+ "sha256": "d8ed6878fdfc86290545437103b7f7f4479cdbfef5203454381107ef4cedf08c",
419
+ "language": "R",
420
+ "lines": 219,
421
+ "truncated": false,
422
+ "block": 8,
423
+ "row": 3122
424
+ },
425
+ {
426
+ "path": "Su_2020.py",
427
+ "sha256": "d6ce7cf9f119e0c1c10c8395293fd1b562e232387544e87e23c287dc8fed92ee",
428
+ "language": "Python",
429
+ "lines": 132,
430
+ "truncated": false,
431
+ "block": 6,
432
+ "row": 41442
433
+ },
434
+ {
435
+ "path": "Su_2020/ArrayExpress/_check_sdrf.R",
436
+ "sha256": "1ef0787803f2da8f9edd6da5f432a25d7bea18d957d808f84d190a980e378623",
437
+ "language": "R",
438
+ "lines": 80,
439
+ "truncated": false,
440
+ "block": 8,
441
+ "row": 2127
442
+ },
443
+ {
444
+ "path": "Su_2020/_collect_data.R",
445
+ "sha256": "1a36570d69aba095103e1772d7e3b69c564ee60d04f66aa1bb9f64bc759eeb72",
446
+ "language": "R",
447
+ "lines": 219,
448
+ "truncated": false,
449
+ "block": 8,
450
+ "row": 3316
451
+ },
452
+ {
453
+ "path": "Su_2020/_collect_data.sh",
454
+ "sha256": "8e6a6cc24b245883d6f7b12a93df1e46afb04073d5fda3d189efd43484487518",
455
+ "language": "Shell",
456
+ "lines": 5,
457
+ "truncated": false,
458
+ "block": 8,
459
+ "row": 6601
460
+ },
461
+ {
462
+ "path": "Su_2020/_get_mito_genes.Rmd",
463
+ "sha256": "a5e56b8652690a332645ddadb06b24b2b7c76026ac0b80a2186a5a58b9ad6855",
464
+ "language": "R",
465
+ "lines": 54,
466
+ "truncated": false,
467
+ "block": 8,
468
+ "row": 1571
469
+ },
470
+ {
471
+ "path": "Su_2020/s1_evaluate_gene_sets_goseq.Rmd",
472
+ "sha256": "b46b5e7576366895eff2f1a9a2f7c40a14ffab3d7c1d548681bc1529235c1036",
473
+ "language": "R",
474
+ "lines": 233,
475
+ "truncated": false,
476
+ "block": 8,
477
+ "row": 3230
478
+ },
479
+ {
480
+ "path": "Su_2020/s1_evaluate_gene_sets_goseq_knit.R",
481
+ "sha256": "f237a1304c0784fef7d24f3696dbcf9fc44fcff4033d9c9bb7123148ecb7e44c",
482
+ "language": "R",
483
+ "lines": 28,
484
+ "truncated": false,
485
+ "block": 8,
486
+ "row": 1509
487
+ },
488
+ {
489
+ "path": "Su_2020/s1_summerize_goseq.Rmd",
490
+ "sha256": "b828edf95255fb46f8035b73ab1016a7c7e2b792127dd9a437141587feb3f754",
491
+ "language": "R",
492
+ "lines": 124,
493
+ "truncated": false,
494
+ "block": 8,
495
+ "row": 2323
496
+ },
497
+ {
498
+ "path": "Su_2020/s1b_evaluate_gene_sets_cell_types.Rmd",
499
+ "sha256": "f6cd39d2c11ab6917f5e0c75f793496430dc2d0f0cb431adb727fcd07180dd93",
500
+ "language": "R",
501
+ "lines": 187,
502
+ "truncated": false,
503
+ "block": 8,
504
+ "row": 2950
505
+ },
506
+ {
507
+ "path": "Su_2020/s1b_evaluate_gene_sets_cell_types_knit.R",
508
+ "sha256": "7dd34d486bc0f04c40d69c95d2bc2ecbc30819808f04741125da935b1abc232d",
509
+ "language": "R",
510
+ "lines": 28,
511
+ "truncated": false,
512
+ "block": 8,
513
+ "row": 1513
514
+ },
515
+ {
516
+ "path": "Su_2020/s2b_check_results.Rmd",
517
+ "sha256": "d6ce441804c4e44e882091a868cd7a0ccc61b8d5aba49b0630c0e84c02087f33",
518
+ "language": "R",
519
+ "lines": 250,
520
+ "truncated": false,
521
+ "block": 8,
522
+ "row": 3384
523
+ },
524
+ {
525
+ "path": "Su_2020/s2b_check_results_knit.R",
526
+ "sha256": "a33bc5b6d8af5393d423917b56fe0bc9f7b6bb2b55080876d3c985e2d2d0df74",
527
+ "language": "R",
528
+ "lines": 27,
529
+ "truncated": false,
530
+ "block": 8,
531
+ "row": 1503
532
+ },
533
+ {
534
+ "path": "Su_2020_plot.py",
535
+ "sha256": "1f1379923376eafa93f6d8bb80839b051e906127e40a2450ea1f4eebe461532e",
536
+ "language": "Python",
537
+ "lines": 91,
538
+ "truncated": false,
539
+ "block": 6,
540
+ "row": 39468
541
+ },
542
+ {
543
+ "path": "Yost_2019.py",
544
+ "sha256": "9ef48c1305535ce2c423927785c374b386ac7c01624a36a2a681e02c9a0a2199",
545
+ "language": "Python",
546
+ "lines": 132,
547
+ "truncated": false,
548
+ "block": 6,
549
+ "row": 41166
550
+ },
551
+ {
552
+ "path": "Yost_2019/step1_prepare_data.Rmd",
553
+ "sha256": "1e8b09ba2cf1fa3cf18d931d44d70dfd246a290164e2cc29e6d0c9c77d76352b",
554
+ "language": "R",
555
+ "lines": 230,
556
+ "truncated": false,
557
+ "block": 8,
558
+ "row": 3333
559
+ },
560
+ {
561
+ "path": "Yost_2019/step2_evaluate_gene_sets_goseq.Rmd",
562
+ "sha256": "572c88205b9a81170a614c4bfb4cf001207172eb4a3b8a67317e040e2875f3d9",
563
+ "language": "R",
564
+ "lines": 229,
565
+ "truncated": false,
566
+ "block": 8,
567
+ "row": 3198
568
+ },
569
+ {
570
+ "path": "Yost_2019/step2_evaluate_gene_sets_goseq_knit.R",
571
+ "sha256": "d26187a342b5400d6b11ec84638ddb60f2556ca4567b6714e508fe7994065651",
572
+ "language": "R",
573
+ "lines": 26,
574
+ "truncated": false,
575
+ "block": 8,
576
+ "row": 1439
577
+ },
578
+ {
579
+ "path": "Yost_2019/step2b_summerize_goseq.Rmd",
580
+ "sha256": "8f49fd20af14e7ded7b1651a6bb1aac0e980c470348c91d6d583f7ea32940f8d",
581
+ "language": "R",
582
+ "lines": 122,
583
+ "truncated": false,
584
+ "block": 8,
585
+ "row": 2330
586
+ },
587
+ {
588
+ "path": "Yost_2019/step2c_zoom_in_goseq_results.Rmd",
589
+ "sha256": "b2c32b52d2c4e427e251429bc4f496964302b2e860be101bf5d33373bc79be54",
590
+ "language": "R",
591
+ "lines": 125,
592
+ "truncated": false,
593
+ "block": 8,
594
+ "row": 2358
595
+ },
596
+ {
597
+ "path": "Yost_2019/step3_check_results.Rmd",
598
+ "sha256": "8570a3cd0ec255e4c4547926658b9d2281983950fbf3e8021a81ab5b6a75e88d",
599
+ "language": "R",
600
+ "lines": 235,
601
+ "truncated": false,
602
+ "block": 8,
603
+ "row": 3263
604
+ },
605
+ {
606
+ "path": "Yost_2019/step3_check_results_knit.R",
607
+ "sha256": "7a166e20803e8db865eca0651d8532fbd51dc555cbda289e5c0ff1edeca92222",
608
+ "language": "R",
609
+ "lines": 21,
610
+ "truncated": false,
611
+ "block": 8,
612
+ "row": 1396
613
+ },
614
+ {
615
+ "path": "Yost_2019_plot.py",
616
+ "sha256": "87f82d211c200bdb39ea9bee3252830929886e671066b0a56d4a2f7ea679e5d6",
617
+ "language": "Python",
618
+ "lines": 61,
619
+ "truncated": false,
620
+ "block": 6,
621
+ "row": 33813
622
+ },
623
+ {
624
+ "path": "check/check_de.ipynb",
625
+ "sha256": "a4754523a88a7dcdb336616c2f9c75ef55e0cbd15eee7de5bf304a866d2ba79d",
626
+ "language": "Jupyter",
627
+ "lines": 585,
628
+ "truncated": false,
629
+ "block": 6,
630
+ "row": 796
631
+ },
632
+ {
633
+ "path": "check/check_de.py",
634
+ "sha256": "3d87e507af3950422f642ad0a741bc81429485df1989e0d469014c897711d2a3",
635
+ "language": "Python",
636
+ "lines": 265,
637
+ "truncated": false,
638
+ "block": 7,
639
+ "row": 2040
640
+ },
641
+ {
642
+ "path": "check/check_genes.ipynb",
643
+ "sha256": "a83f773485424a1a4dad31b7e743925e4c9a98ee56b9eea5625c4d05d8a27a70",
644
+ "language": "Jupyter",
645
+ "lines": 65,
646
+ "truncated": false,
647
+ "block": 5,
648
+ "row": 16212
649
+ },
650
+ {
651
+ "path": "check/check_graph.ipynb",
652
+ "sha256": "821984e50085077c2a3ba9460aabf27622f8c58ffe7ab3af751f5478c14fbee4",
653
+ "language": "Jupyter",
654
+ "lines": 384,
655
+ "truncated": false,
656
+ "block": 6,
657
+ "row": 521
658
+ },
659
+ {
660
+ "path": "check/check_graph.py",
661
+ "sha256": "1a17dc8132a19b242bd377f355d022985805232c0b144b66ec3304229c25a270",
662
+ "language": "Python",
663
+ "lines": 334,
664
+ "truncated": false,
665
+ "block": 7,
666
+ "row": 4086
667
+ },
668
+ {
669
+ "path": "check/check_weight.py",
670
+ "sha256": "17afd120d1b1ea8e52c4ed9195b045d25e5bb152a09ae3c42d5264dea536ccf9",
671
+ "language": "Python",
672
+ "lines": 215,
673
+ "truncated": false,
674
+ "block": 7,
675
+ "row": 826
676
+ },
677
+ {
678
+ "path": "check/compute_loading_comparison.py",
679
+ "sha256": "8874b607707319b4d870f624b1eec80f5fe484d2e95ac1b9f584c819f877dfaa",
680
+ "language": "Python",
681
+ "lines": 545,
682
+ "truncated": false,
683
+ "block": 7,
684
+ "row": 9468
685
+ },
686
+ {
687
+ "path": "check/compute_sdan_program_auc.py",
688
+ "sha256": "4eee87f2d9ac835ffbb1199c964940496f2e81a75e149b401657605986990383",
689
+ "language": "Python",
690
+ "lines": 107,
691
+ "truncated": false,
692
+ "block": 6,
693
+ "row": 37867
694
+ },
695
+ {
696
+ "path": "check/de_enrichment.py",
697
+ "sha256": "5ef5d6a804c1b4fd9a7f75f0c66ca4c249ee12779d3e923c590b10ebe074af74",
698
+ "language": "Python",
699
+ "lines": 474,
700
+ "truncated": false,
701
+ "block": 7,
702
+ "row": 7657
703
+ },
704
+ {
705
+ "path": "check/loading_comparison.ipynb",
706
+ "sha256": "404341f6c94fac65d64a326a4294c0e5fb036272c608eb6eb9eee27e166634b5",
707
+ "language": "Jupyter",
708
+ "lines": 236,
709
+ "truncated": false,
710
+ "block": 5,
711
+ "row": 17552
712
+ },
713
+ {
714
+ "path": "tutorial.ipynb",
715
+ "sha256": "01549ad2d3b48a6c63dc905f96af4fbc10786e48810cf8e438cbe02ff0fc0c90",
716
+ "language": "Jupyter",
717
+ "lines": 351,
718
+ "truncated": false,
719
+ "block": 6,
720
+ "row": 63
721
+ }
722
+ ]
723
+ }
manifests/6d/zenodo__18499384.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:18499384",
4
+ "url": "10.5281/zenodo.18499384",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "87a75f6e0a85b10470ed8df347f1dbea251a55dddd70974b48b323bf8093d548",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1664
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "520a9ed72e54bd7fdd4c3f59671e753aeff153a12cfd99b68775313781b1bcca",
23
+ "language": "Text",
24
+ "lines": 34,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10319
28
+ },
29
+ {
30
+ "path": "cluster analysis MINFLUX.m",
31
+ "sha256": "b99826b333b55dbdbbac47d529b8e925a33c23e5490b9a298983af578fb07008",
32
+ "language": "MATLAB",
33
+ "lines": 276,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 18086
37
+ }
38
+ ]
39
+ }
manifests/6d/zenodo__19483826.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:19483826",
4
+ "url": "10.5281/zenodo.19483826",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "Mitric-Beerens_etal_2026_NatCommun_Fig6_DataAnalysis.R",
13
+ "sha256": "e5af3c0b5248f7707d795286f219b9c2946f4799b5963a87169a30e31e755fff",
14
+ "language": "R",
15
+ "lines": 107,
16
+ "truncated": false,
17
+ "block": 8,
18
+ "row": 3037
19
+ }
20
+ ]
21
+ }
manifests/6d/zenodo__19644866.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:19644866",
4
+ "url": "https://zenodo.org/records/19644866",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license of the archive's record",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "DeepFace_12_Point_Precision.m",
13
+ "sha256": "1246664c7c5857dc1532a080f0088c11d323828f9786efbc0459ec9e96994a21",
14
+ "language": "MATLAB",
15
+ "lines": 80,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 11605
19
+ },
20
+ {
21
+ "path": "FaceBrainPredictionGUI_DeepFace_6s_6f.m",
22
+ "sha256": "0da7d353ef5b363518a944fec87158411626f6d36ead4eda7e741069daadbd7f",
23
+ "language": "MATLAB",
24
+ "lines": 697,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 19069
28
+ },
29
+ {
30
+ "path": "FaceBrainPredictionGUI_DeepFace_8m_100Hz.m",
31
+ "sha256": "150efbbc25b91f7ad8ead18306e4d60ca636e305449e78bb0ecf2cc2d8ab5970",
32
+ "language": "MATLAB",
33
+ "lines": 551,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 18804
37
+ },
38
+ {
39
+ "path": "FaceBrainPredictionGUI_Facemap_6s_6f.m",
40
+ "sha256": "8aa868a565448e7ca2036425352c3e1e4f18e9bb9e69a5f6c0840e4885875c8b",
41
+ "language": "MATLAB",
42
+ "lines": 736,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 19075
46
+ },
47
+ {
48
+ "path": "FaceBrainPredictionGUI_Facemap_8m_100Hz.m",
49
+ "sha256": "e09cae39593137e02cac87bdc71a2660e961ab69ca52763654455338ce93c347",
50
+ "language": "MATLAB",
51
+ "lines": 542,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 18792
55
+ }
56
+ ]
57
+ }
manifests/6d/zenodo__20583873.json ADDED
@@ -0,0 +1,183 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:20583873",
4
+ "url": "https://doi.org/10.5281/zenodo.20583873",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "Code/analysis_pipeline/CP_computation/roc_curve_LFP.m",
13
+ "sha256": "ae6111ca7915e86459b950d1aff6a12018f9f0c66dc7dc96407df05ae2933f04",
14
+ "language": "MATLAB",
15
+ "lines": 64,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 8991
19
+ },
20
+ {
21
+ "path": "Code/analysis_pipeline/CP_computation/sp_cpz_LFP.m",
22
+ "sha256": "290de03702eb8d3dcc62352e3b58c42c83f6735240a1608d47fd60e9e5529808",
23
+ "language": "MATLAB",
24
+ "lines": 70,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 10407
28
+ },
29
+ {
30
+ "path": "Code/analysis_pipeline/CP_computation/sp_psth_LFP.m",
31
+ "sha256": "4a2517760dfcee006adffcd5a9d208d5749bba0d4f6d32ea4a443bf258f1936d",
32
+ "language": "MATLAB",
33
+ "lines": 71,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 10772
37
+ },
38
+ {
39
+ "path": "Code/analysis_pipeline/CP_computation/sp_psth_LFP_reward.m",
40
+ "sha256": "80fd908e504ae8ed6642f131ce11e6b9a5d1faf4d73cb77aac292f9396da2c3e",
41
+ "language": "MATLAB",
42
+ "lines": 106,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 13076
46
+ },
47
+ {
48
+ "path": "Code/analysis_pipeline/CP_computation/total_cp_LFP.m",
49
+ "sha256": "4530d12069d266b3c7aba273625e0028729cc0493d9add47a096f24f0cc0450b",
50
+ "language": "MATLAB",
51
+ "lines": 24,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 5616
55
+ },
56
+ {
57
+ "path": "Code/analysis_pipeline/FigS4_simulation/plot_cp_bands_epochs.R",
58
+ "sha256": "4798e68426d1be1b0b651b74e8ff4cb4cb26347b178e2c998976e23fc919974a",
59
+ "language": "R",
60
+ "lines": 102,
61
+ "truncated": false,
62
+ "block": 8,
63
+ "row": 2959
64
+ },
65
+ {
66
+ "path": "Code/analysis_pipeline/FigS4_simulation/plot_cp_heatmap.R",
67
+ "sha256": "e31a854a18c9a9059c486901d9ce53ed69dd11f68e679aa641b8a05bd5dafc82",
68
+ "language": "R",
69
+ "lines": 107,
70
+ "truncated": false,
71
+ "block": 8,
72
+ "row": 3023
73
+ },
74
+ {
75
+ "path": "Code/analysis_pipeline/FigS4_simulation/sim_neurodsp.py",
76
+ "sha256": "2fbc8c8842f567e7c5e69ab3349f8cda59f31ab3ee20ac8241e3984b622b16ae",
77
+ "language": "Python",
78
+ "lines": 54,
79
+ "truncated": false,
80
+ "block": 6,
81
+ "row": 30421
82
+ },
83
+ {
84
+ "path": "Code/figure_generation/plot_fig1G_behavioral_sensitivity.py",
85
+ "sha256": "6d9576d8f9e0f439effd3ceccc20abed2019e6731992a4baa7ce1f32e8335a16",
86
+ "language": "Python",
87
+ "lines": 76,
88
+ "truncated": false,
89
+ "block": 6,
90
+ "row": 35650
91
+ },
92
+ {
93
+ "path": "Code/figure_generation/plot_fig3_cp_timecourses.py",
94
+ "sha256": "a94b1434bce10a752e1ae4d32552547425ef48ba69188746e870013904992d92",
95
+ "language": "Python",
96
+ "lines": 343,
97
+ "truncated": false,
98
+ "block": 7,
99
+ "row": 4998
100
+ },
101
+ {
102
+ "path": "Code/figure_generation/plot_fig4_frequency_specific_decomposition.py",
103
+ "sha256": "572a096bcc7f9f377b9eeb2b3b98bbf75628947e5efe676302655940322da5ab",
104
+ "language": "Python",
105
+ "lines": 188,
106
+ "truncated": false,
107
+ "block": 7,
108
+ "row": 1176
109
+ },
110
+ {
111
+ "path": "Code/figure_generation/plot_figS1S3_monkeywise_cp.py",
112
+ "sha256": "d5085e9c2c22bee130446480b4105e7b1de51570b8a311e1a8ecf4086518e333",
113
+ "language": "Python",
114
+ "lines": 152,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 41821
118
+ },
119
+ {
120
+ "path": "Code/figure_generation/plot_figS5AB_decoder_accuracy.py",
121
+ "sha256": "e167ef741555ecf435ad39871d7fe504f14f333f020e61aed5f0b8dd5dd53bde",
122
+ "language": "Python",
123
+ "lines": 55,
124
+ "truncated": false,
125
+ "block": 6,
126
+ "row": 33048
127
+ },
128
+ {
129
+ "path": "Code/figure_generation/plot_figS8_saline_control.py",
130
+ "sha256": "d1277cc61c453b5ef6f26d911be6a877bc8aaa0175c5b40ef188a37ac876ebf6",
131
+ "language": "Python",
132
+ "lines": 50,
133
+ "truncated": false,
134
+ "block": 6,
135
+ "row": 31778
136
+ },
137
+ {
138
+ "path": "Code/figure_generation/plotting_helpers.py",
139
+ "sha256": "43519aecacd1613550e0920cd6ca3efdd9a68f03fde4a0d6078a7dbbc469cf40",
140
+ "language": "Python",
141
+ "lines": 96,
142
+ "truncated": false,
143
+ "block": 6,
144
+ "row": 36682
145
+ },
146
+ {
147
+ "path": "Code/figure_generation/run_all_figures.py",
148
+ "sha256": "dd8bdf468e1a7b7d9e7125a5a58ba8b8cda49e3877af02ad06fedfe18bfc46f4",
149
+ "language": "Python",
150
+ "lines": 230,
151
+ "truncated": false,
152
+ "block": 6,
153
+ "row": 44599
154
+ },
155
+ {
156
+ "path": "Code/figure_generation/verify_fig3_S1S3_mean_sem.py",
157
+ "sha256": "d0da63e728d50b675c6bb294926fc4cd0504f574739606ce7805f94b7bcb928b",
158
+ "language": "Python",
159
+ "lines": 93,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 37169
163
+ },
164
+ {
165
+ "path": "LICENSE",
166
+ "sha256": "9bf78202de4e3272d95d73c42cc635dd5f2d1df64597bb1743596255cc2d8365",
167
+ "language": "License",
168
+ "lines": 21,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 1752
172
+ },
173
+ {
174
+ "path": "README.md",
175
+ "sha256": "ba39c96d86c0a9528a3ceb4b8ad631e2f3ccb33a3ef68e876d12ffd237e1f705",
176
+ "language": "Text",
177
+ "lines": 189,
178
+ "truncated": false,
179
+ "block": 8,
180
+ "row": 10593
181
+ }
182
+ ]
183
+ }
manifests/6e/github.com__diego999__pygat.json ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/diego999/pygat",
4
+ "url": "https://github.com/Diego999/pyGAT",
5
+ "host": "github.com",
6
+ "commit": "3664f2dc90cbf971564c0bf186dc794f12446d0c",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "85f12b404a291c11ad9bbae702d024a5c5f4222e0087acc63b8dd03e99f60db0",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1662
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "80370d9924341f7557874fca9afad0910beef65df410b9699cda48278503d59f",
23
+ "language": "Text",
24
+ "lines": 38,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 9896
28
+ },
29
+ {
30
+ "path": "layers.py",
31
+ "sha256": "e6b32873408515c1d908d03302a4da1ff148471efe8ee799453314540ce2bab6",
32
+ "language": "Python",
33
+ "lines": 146,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 41479
37
+ },
38
+ {
39
+ "path": "models.py",
40
+ "sha256": "62e2f29f33f11d78eeb28a9fa5ac3c8023a55d0e9424516751766b40f2b71acc",
41
+ "language": "Python",
42
+ "lines": 53,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 33017
46
+ },
47
+ {
48
+ "path": "train.py",
49
+ "sha256": "96133b62545af3f5f75bd53cc6219c00bbccec046dcfc6646b28c43303509dd9",
50
+ "language": "Python",
51
+ "lines": 154,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 41483
55
+ },
56
+ {
57
+ "path": "utils.py",
58
+ "sha256": "5aa3a8aa2a8d68ec62c5b2e9faaacd11fd3dc7203ec8f7949962d4faa48737a5",
59
+ "language": "Python",
60
+ "lines": 75,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 34901
64
+ },
65
+ {
66
+ "path": "visualize_graph.py",
67
+ "sha256": "ec38f4b9fb7b27af37ad9c5b5935fc72eea011ad635f06d27b36673f93c98616",
68
+ "language": "Python",
69
+ "lines": 62,
70
+ "truncated": false,
71
+ "block": 6,
72
+ "row": 32260
73
+ }
74
+ ]
75
+ }
manifests/6e/github.com__lh-cbicr__gcml.json ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/lh-cbicr/gcml",
4
+ "url": "https://github.com/LH-cbicr/GCML",
5
+ "host": "github.com",
6
+ "commit": "ff76859b71a2bc2056b50f5e052475351c007f76",
7
+ "license": "MIT",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "322cb77da20e8de79831f6196b82c0478a0562c43a82c494fa51c03498a165b8",
14
+ "language": "License",
15
+ "lines": 21,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 1683
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "a2387b49477e2b1bfcb18ea5003a7eb5f08becb477a373fdc553461e8138974f",
23
+ "language": "Text",
24
+ "lines": 11,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 9577
28
+ },
29
+ {
30
+ "path": "gcml_abstract_graph.ipynb",
31
+ "sha256": "cd01c30d6f36c3f6377c558b34f1a5666175789c94b676b4ecbb2b3756ce9414",
32
+ "language": "Jupyter",
33
+ "lines": 644,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 926
37
+ },
38
+ {
39
+ "path": "gcml_grid_cell.ipynb",
40
+ "sha256": "d504956b583d5f7638b4fb689bb7a77309331ca62763e694c5f942b652420601",
41
+ "language": "Jupyter",
42
+ "lines": 874,
43
+ "truncated": false,
44
+ "block": 6,
45
+ "row": 935
46
+ },
47
+ {
48
+ "path": "gcml_tiling.ipynb",
49
+ "sha256": "6c5921510ad6ffe2fe24d0332877f4d3911f555266385ea7f7f5c224c5c277ab",
50
+ "language": "Jupyter",
51
+ "lines": 643,
52
+ "truncated": false,
53
+ "block": 6,
54
+ "row": 899
55
+ },
56
+ {
57
+ "path": "utils/dataset_tiling.py",
58
+ "sha256": "da2cbc396e57339da7ea8820a26b70b1e12a92e7419f5e7f5881d8ecb75af4fc",
59
+ "language": "Python",
60
+ "lines": 303,
61
+ "truncated": false,
62
+ "block": 7,
63
+ "row": 4558
64
+ }
65
+ ]
66
+ }
manifests/6e/github.com__tagel123__multi-spectral-image-classification.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/tagel123/multi-spectral-image-classification",
4
+ "url": "https://github.com/tagel123/Multi-Spectral-Image-Classification",
5
+ "host": "github.com",
6
+ "commit": "07b62b994d9cfe02e2c945d66a6cdcf698452622",
7
+ "license": "GPL-3.0",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE",
13
+ "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",
14
+ "language": "License",
15
+ "lines": 674,
16
+ "truncated": false,
17
+ "block": 1,
18
+ "row": 2235
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "137b245e1cb77bd97cba67f6bb2d19d5405ea94a32b338253946b726ea0f1822",
23
+ "language": "Text",
24
+ "lines": 4,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 9560
28
+ }
29
+ ]
30
+ }
manifests/6e/zenodo__20360160.json ADDED
@@ -0,0 +1,246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "zenodo:20360160",
4
+ "url": "10.5281/zenodo.20360160",
5
+ "host": "zenodo.org",
6
+ "commit": "",
7
+ "license": "BSD-3-Clause",
8
+ "license_confirmed_by": "license file LICENSE",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "CP_inputs_plotting.ipynb",
13
+ "sha256": "f99dcb81aed5138e4f6dc9a02359e0a5912706219fe10c74a5f24defe82c164b",
14
+ "language": "Jupyter",
15
+ "lines": 59,
16
+ "truncated": false,
17
+ "block": 5,
18
+ "row": 16145
19
+ },
20
+ {
21
+ "path": "HMN_motif3.m",
22
+ "sha256": "adcabeb9eba3a00b6b78753e6ce4ee619346ce455ffbc11eb24f41fcc9e66280",
23
+ "language": "MATLAB",
24
+ "lines": 38,
25
+ "truncated": false,
26
+ "block": 6,
27
+ "row": 6936
28
+ },
29
+ {
30
+ "path": "LICENSE",
31
+ "sha256": "21c08594ad9369eaac2c6aead39154395a99fbd5c65075a8e299abcd3f2975fd",
32
+ "language": "License",
33
+ "lines": 28,
34
+ "truncated": false,
35
+ "block": 6,
36
+ "row": 1971
37
+ },
38
+ {
39
+ "path": "README.md",
40
+ "sha256": "bc8c94beedcedb83d2fb96540b1465af165a535c845cd26eac6647788b97fefe",
41
+ "language": "Text",
42
+ "lines": 43,
43
+ "truncated": false,
44
+ "block": 8,
45
+ "row": 9946
46
+ },
47
+ {
48
+ "path": "cyc_perturb.ipynb",
49
+ "sha256": "7ae3c438f2d8e08f3074d7018630bae9ac903ce964dea7fbbb7f16afc69a2b11",
50
+ "language": "Jupyter",
51
+ "lines": 109,
52
+ "truncated": false,
53
+ "block": 5,
54
+ "row": 16651
55
+ },
56
+ {
57
+ "path": "dynamics_plotting_utils.py",
58
+ "sha256": "246d20d5ffbc657e843a93259afaea3f68de733f7bac1ad195470d93ac6041a7",
59
+ "language": "Python",
60
+ "lines": 203,
61
+ "truncated": false,
62
+ "block": 6,
63
+ "row": 45597
64
+ },
65
+ {
66
+ "path": "empirical_nets_geo.ipynb",
67
+ "sha256": "f366a4fd4ac9bc0e493b2dd0ba9ac06e267ba2862d07de3ac6d533f430c2f238",
68
+ "language": "Jupyter",
69
+ "lines": 20,
70
+ "truncated": false,
71
+ "block": 5,
72
+ "row": 15998
73
+ },
74
+ {
75
+ "path": "empirical_struct_x_perform.ipynb",
76
+ "sha256": "fdfde232e3414c454b5f4f2df28ab36db7cafffd11dee384877aaa8287798174",
77
+ "language": "Jupyter",
78
+ "lines": 152,
79
+ "truncated": false,
80
+ "block": 5,
81
+ "row": 17145
82
+ },
83
+ {
84
+ "path": "empirical_timescales.ipynb",
85
+ "sha256": "c4021f81c733af4b4b7901b4e6c0ac42b9276cbe0a60c907d702e7ade746a344",
86
+ "language": "Jupyter",
87
+ "lines": 179,
88
+ "truncated": false,
89
+ "block": 5,
90
+ "row": 17144
91
+ },
92
+ {
93
+ "path": "mod_nulls.py",
94
+ "sha256": "d1bb217fdb1e709c2de3b446833efa225e349c4ab56f6a0b4052c01fc84165f6",
95
+ "language": "Python",
96
+ "lines": 61,
97
+ "truncated": false,
98
+ "block": 6,
99
+ "row": 35456
100
+ },
101
+ {
102
+ "path": "ncycles.py",
103
+ "sha256": "43181fad2070371a28b4592c1f801d1687eb2fe4c7b39146956bb7d625e1aaad",
104
+ "language": "Python",
105
+ "lines": 9,
106
+ "truncated": false,
107
+ "block": 6,
108
+ "row": 21177
109
+ },
110
+ {
111
+ "path": "ncycles_parallel.py",
112
+ "sha256": "b7d6ee189e880c7cd402c705d9ec7c46235058b33b90ccb3c424a55d3533883e",
113
+ "language": "Python",
114
+ "lines": 18,
115
+ "truncated": false,
116
+ "block": 6,
117
+ "row": 24305
118
+ },
119
+ {
120
+ "path": "nets_feats.ipynb",
121
+ "sha256": "119df4582f7b672c6f20414c2f740fd3029778d13f64d81b81f247d69ea1ad06",
122
+ "language": "Jupyter",
123
+ "lines": 207,
124
+ "truncated": false,
125
+ "block": 5,
126
+ "row": 17469
127
+ },
128
+ {
129
+ "path": "nets_feats_x_perform.ipynb",
130
+ "sha256": "510d1a1ba7c6dbe77e484b51ca57e29fcb33aa1bd2f4bf4188df2430a38d68bd",
131
+ "language": "Jupyter",
132
+ "lines": 181,
133
+ "truncated": false,
134
+ "block": 5,
135
+ "row": 17354
136
+ },
137
+ {
138
+ "path": "network.py",
139
+ "sha256": "c0522ec5fa26fd49c5f384d5fbd4d9da56e95c08392ae64c01b455ea14712ab5",
140
+ "language": "Python",
141
+ "lines": 435,
142
+ "truncated": false,
143
+ "block": 7,
144
+ "row": 7805
145
+ },
146
+ {
147
+ "path": "null_networks_plotting.ipynb",
148
+ "sha256": "ac35214141145ea4abc3f7cee53d66df25cee299aa5b39fc28a929d5db4de5fe",
149
+ "language": "Jupyter",
150
+ "lines": 186,
151
+ "truncated": false,
152
+ "block": 5,
153
+ "row": 17317
154
+ },
155
+ {
156
+ "path": "plot_point_brain.py",
157
+ "sha256": "f2da188ff37841e5d8f3e2b2ac32c1879fac5b56b030c8cdd64daa2fe8329dc2",
158
+ "language": "Python",
159
+ "lines": 95,
160
+ "truncated": false,
161
+ "block": 6,
162
+ "row": 37854
163
+ },
164
+ {
165
+ "path": "plotting.py",
166
+ "sha256": "6952642de7c0db10be94bbf3ec749866647eae46697cad8b98c8916c4cfb1cfd",
167
+ "language": "Python",
168
+ "lines": 52,
169
+ "truncated": false,
170
+ "block": 6,
171
+ "row": 39524
172
+ },
173
+ {
174
+ "path": "randmio_und_hmod.py",
175
+ "sha256": "5c44807c4dfae867b0b70b27eb63fd323ef01a0ee7c3d68b15a79688113d0f7b",
176
+ "language": "Python",
177
+ "lines": 103,
178
+ "truncated": false,
179
+ "block": 6,
180
+ "row": 37074
181
+ },
182
+ {
183
+ "path": "run.py",
184
+ "sha256": "69eb72645eca7877a2dfe235ac85e7a23c4fcde87347f102134efa3ebfad6f06",
185
+ "language": "Python",
186
+ "lines": 418,
187
+ "truncated": false,
188
+ "block": 7,
189
+ "row": 9460
190
+ },
191
+ {
192
+ "path": "sbm_plotting.ipynb",
193
+ "sha256": "7625e8f4f2043e4de3209e74f941da2233583d82660b696833a063d6a7cfe734",
194
+ "language": "Jupyter",
195
+ "lines": 100,
196
+ "truncated": false,
197
+ "block": 5,
198
+ "row": 16628
199
+ },
200
+ {
201
+ "path": "score_plotting_utils.py",
202
+ "sha256": "0d8a2fd2a5dd7c568544fd8a433ee9b4397d4de22fd5a57757a5c08c6ed7932f",
203
+ "language": "Python",
204
+ "lines": 303,
205
+ "truncated": false,
206
+ "block": 7,
207
+ "row": 4703
208
+ },
209
+ {
210
+ "path": "supp_nulls.py",
211
+ "sha256": "b9a1bb760afa4fdffb1d88e24471181d0166436faf403d12fad4e8208d415d53",
212
+ "language": "Python",
213
+ "lines": 1242,
214
+ "truncated": false,
215
+ "block": 7,
216
+ "row": 11537
217
+ },
218
+ {
219
+ "path": "task.py",
220
+ "sha256": "098c5c462d26e6a585d5d270f541071f07fb5733e1a3b08d4955111496461531",
221
+ "language": "Python",
222
+ "lines": 1706,
223
+ "truncated": false,
224
+ "block": 8,
225
+ "row": 691
226
+ },
227
+ {
228
+ "path": "timescale_parcellation.py",
229
+ "sha256": "e6b799e2c8517d7d8e173744295f836173e0eef4a7bdd3ccd6d82fbfe88e4994",
230
+ "language": "Python",
231
+ "lines": 15,
232
+ "truncated": false,
233
+ "block": 6,
234
+ "row": 22912
235
+ },
236
+ {
237
+ "path": "timeseries_plotting.ipynb",
238
+ "sha256": "993b797ea05fecff7e8ffb1921b09f8925ea6e093a311667b6ea9c50b73b6234",
239
+ "language": "Jupyter",
240
+ "lines": 162,
241
+ "truncated": false,
242
+ "block": 5,
243
+ "row": 17430
244
+ }
245
+ ]
246
+ }
manifests/6f/github.com__carlson-lab__vmd-and-namd-connexin-protein-simulation-protocol.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "format": "oscr-script-manifest/1",
3
+ "repository": "github.com/carlson-lab/vmd-and-namd-connexin-protein-simulation-protocol",
4
+ "url": "https://github.com/carlson-lab/VMD-and-NAMD-Connexin-Protein-Simulation-Protocol",
5
+ "host": "github.com",
6
+ "commit": "0c48394e07514b514bf671a383587a89017c46e8",
7
+ "license": "CC-BY-4.0",
8
+ "license_confirmed_by": "license file LICENSE.txt",
9
+ "redistribution": "yes",
10
+ "files": [
11
+ {
12
+ "path": "LICENSE.txt",
13
+ "sha256": "6585db4dc31a0dcf29c8a5230e19579b83cf650442a83b0f374f4a5dd58d2f53",
14
+ "language": "License",
15
+ "lines": 397,
16
+ "truncated": false,
17
+ "block": 6,
18
+ "row": 2101
19
+ },
20
+ {
21
+ "path": "README.md",
22
+ "sha256": "794c00a13b91d318a04eb9b20e7986312a3178c84e37b12206994498f366635b",
23
+ "language": "Text",
24
+ "lines": 539,
25
+ "truncated": false,
26
+ "block": 8,
27
+ "row": 10829
28
+ }
29
+ ]
30
+ }