junidude14 commited on
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Archive 4 checkpoints (1-4)

Browse files
paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/logs/corpus_extract_try1_jsonerror.log ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 001_A_collection_436154da-bcf1-4130-9c8b-120ff9a888_Perez_et {'shards_available': 6, 'shards_used': 6, 'cells': np.int64(6000)}
2
+ 005_A_collection_dde06e0f-ab3b-46be-96a2-a8082383c4_OneK1K_Y {'shards_available': 5, 'shards_used': 5, 'cells': np.int64(5000)}
3
+ 006_A_collection_ced320a1-29f3-47c1-a735-513c7084d5_AIDA_Asi {'shards_available': 6, 'shards_used': 6, 'cells': np.int64(6000)}
4
+ 007_A_collection_e1a9ca56-f2ee-435d-980a-4f49ab7a95_Miao_et_ {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
5
+ 009_A_Human_Immune_Health_Atlas_Human_Immune_Health_Atlas_AI {'shards_available': 8, 'shards_used': 8, 'cells': np.int64(8000)}
6
+ 010_A_collection_4a9fd4d7-d870-4265-89a5-ad51ab811d_ScaleBio {'shards_available': 3, 'shards_used': 3, 'cells': np.int64(3000)}
7
+ 053_B_collection_b0cf0afa-ec40-4d65-b570-ed4ceacc68_Integrat {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
8
+ 058_B_collection_eb735cc9-d0a7-48fa-b255-db726bf365_COVID_PB {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
9
+ 061_A_GSE274680_Savage_Allen_RA_at-risk_longitudinal_progres {'shards_available': 239, 'shards_used': 8, 'cells': np.int64(8000)}
10
+ 065_A_GSE271896_GSE271896_Sound_Life_deep_longitudinal_immun {'shards_available': 59, 'shards_used': 8, 'cells': np.int64(8000)}
11
+ 071_C_JDM_CITE-seq_PBMC_CELLxGENE_JDM_CITE-seq_PBMC_CELLxGEN {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
12
+ 074_A_COMBAT_CELLxGENE_collection_COMBAT_CELLxGENE_collectio {'shards_available': 4, 'shards_used': 4, 'cells': np.int64(4000)}
13
+ 081_B_Single-cell_atlas_of_peripheral_immune_respon_Single-c {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
14
+ 093_C_Local_and_systemic_SARS-CoV-2_response_CELLxG_Local_an {'shards_available': 2, 'shards_used': 2, 'cells': np.int64(2000)}
15
+ 200_A_GSE275067_Immunobiology_of_Aging_Cohort_PBMC_Profiling {'shards_available': 16, 'shards_used': 8, 'cells': np.int64(8000)}
16
+ 202_B_GSE161918_Time-resolved_Systems_Immunology_Reveals_a_L {'shards_available': 2, 'shards_used': 2, 'cells': np.int64(2000)}
17
+ 203_B_CELLxGENE_665714af_Ancestral_and_environmental_diversi {'shards_available': 2, 'shards_used': 2, 'cells': np.int64(2000)}
18
+ 204_B_CELLxGENE_cHSPC_aging_MDS_Human_circulating_hematopoie {'shards_available': 5, 'shards_used': 5, 'cells': np.int64(5000)}
19
+ 300b_A_GSE132802_DRESS_DiHS_PBMC_only_scRNAseq {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
20
+ 301_A_GSE163121_SLE_healthy_Bcell_PBMC_scRNAseq {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
21
+ 302_A_GSE314010_SLE_IL36_stim_PBMC_scRNAseq {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
22
+ 304_A_Parse_10M_PBMC_12donor_90cytokines {'shards_available': 39, 'shards_used': 8, 'cells': np.int64(8000)}
23
+ Traceback (most recent call last):
24
+ File "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/tools/corpus_c1q.py", line 180, in <module>
25
+ sys.exit(extract() if sys.argv[1] == "extract" else analyze())
26
+ ^^^^^^^^^
27
+ File "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/tools/corpus_c1q.py", line 95, in extract
28
+ (WORK / "SAMPLE.json").write_text(json.dumps({"seed": SEED, "shards_per_dataset": SHARDS, "blocks_per_shard": BLOCKS,
29
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
30
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/__init__.py", line 238, in dumps
31
+ **kw).encode(obj)
32
+ ^^^^^^^^^^^
33
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/encoder.py", line 202, in encode
34
+ chunks = list(chunks)
35
+ ^^^^^^^^^^^^
36
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/encoder.py", line 432, in _iterencode
37
+ yield from _iterencode_dict(o, _current_indent_level)
38
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/encoder.py", line 406, in _iterencode_dict
39
+ yield from chunks
40
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/encoder.py", line 406, in _iterencode_dict
41
+ yield from chunks
42
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/encoder.py", line 406, in _iterencode_dict
43
+ yield from chunks
44
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/encoder.py", line 439, in _iterencode
45
+ o = _default(o)
46
+ ^^^^^^^^^^^
47
+ File "/home/sj_server_1/miniforge3/envs/scanvi/lib/python3.12/json/encoder.py", line 180, in default
48
+ raise TypeError(f'Object of type {o.__class__.__name__} '
49
+ TypeError: Object of type int64 is not JSON serializable
paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/logs/corpus_extract_try2_fewblocks.log ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 001_A_collection_436154da-bcf1-4130-9c8b-120ff9a888_Perez_et {'shards_available': 6, 'shards_used': 6, 'cells': np.int64(6000)}
2
+ 005_A_collection_dde06e0f-ab3b-46be-96a2-a8082383c4_OneK1K_Y {'shards_available': 5, 'shards_used': 5, 'cells': np.int64(5000)}
3
+ 006_A_collection_ced320a1-29f3-47c1-a735-513c7084d5_AIDA_Asi {'shards_available': 6, 'shards_used': 6, 'cells': np.int64(6000)}
4
+ 007_A_collection_e1a9ca56-f2ee-435d-980a-4f49ab7a95_Miao_et_ {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
5
+ 009_A_Human_Immune_Health_Atlas_Human_Immune_Health_Atlas_AI {'shards_available': 8, 'shards_used': 8, 'cells': np.int64(8000)}
6
+ 010_A_collection_4a9fd4d7-d870-4265-89a5-ad51ab811d_ScaleBio {'shards_available': 3, 'shards_used': 3, 'cells': np.int64(3000)}
7
+ 053_B_collection_b0cf0afa-ec40-4d65-b570-ed4ceacc68_Integrat {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
8
+ 058_B_collection_eb735cc9-d0a7-48fa-b255-db726bf365_COVID_PB {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
9
+ 061_A_GSE274680_Savage_Allen_RA_at-risk_longitudinal_progres {'shards_available': 239, 'shards_used': 8, 'cells': np.int64(8000)}
10
+ 065_A_GSE271896_GSE271896_Sound_Life_deep_longitudinal_immun {'shards_available': 59, 'shards_used': 8, 'cells': np.int64(8000)}
11
+ 071_C_JDM_CITE-seq_PBMC_CELLxGENE_JDM_CITE-seq_PBMC_CELLxGEN {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
12
+ 074_A_COMBAT_CELLxGENE_collection_COMBAT_CELLxGENE_collectio {'shards_available': 4, 'shards_used': 4, 'cells': np.int64(4000)}
13
+ 081_B_Single-cell_atlas_of_peripheral_immune_respon_Single-c {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
14
+ 093_C_Local_and_systemic_SARS-CoV-2_response_CELLxG_Local_an {'shards_available': 2, 'shards_used': 2, 'cells': np.int64(2000)}
15
+ 200_A_GSE275067_Immunobiology_of_Aging_Cohort_PBMC_Profiling {'shards_available': 16, 'shards_used': 8, 'cells': np.int64(8000)}
16
+ 202_B_GSE161918_Time-resolved_Systems_Immunology_Reveals_a_L {'shards_available': 2, 'shards_used': 2, 'cells': np.int64(2000)}
17
+ 203_B_CELLxGENE_665714af_Ancestral_and_environmental_diversi {'shards_available': 2, 'shards_used': 2, 'cells': np.int64(2000)}
18
+ 204_B_CELLxGENE_cHSPC_aging_MDS_Human_circulating_hematopoie {'shards_available': 5, 'shards_used': 5, 'cells': np.int64(5000)}
19
+ 300b_A_GSE132802_DRESS_DiHS_PBMC_only_scRNAseq {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
20
+ 301_A_GSE163121_SLE_healthy_Bcell_PBMC_scRNAseq {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
21
+ 302_A_GSE314010_SLE_IL36_stim_PBMC_scRNAseq {'shards_available': 1, 'shards_used': 1, 'cells': np.int64(1000)}
22
+ 304_A_Parse_10M_PBMC_12donor_90cytokines {'shards_available': 39, 'shards_used': 8, 'cells': np.int64(8000)}
23
+ cells (83000, 6000)
paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/logs/corpus_label.log ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ INFO  File
2
+ /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/pla
3
+ ns/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/scanvi_mo
4
+ del/model.pt already downloaded
5
+ INFO  File
6
+ /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/pla
7
+ ns/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/scanvi_mo
8
+ del/model.pt already downloaded
9
+ INFO  Found 100.0% reference vars in query data.
10
+ INFO  File
11
+ /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/pla
12
+ ns/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/scanvi_mo
13
+ del/model.pt already downloaded
14
+ {
15
+ "method": "corpus_sample_c1q",
16
+ "n_cells": 179750,
17
+ "n_genes": 1005,
18
+ "label_counts": {
19
+ "celltype_l1_pred": {
20
+ "T cell": 93391,
21
+ "Monocyte": 32766,
22
+ "B cell": 24494,
23
+ "NK cell": 15068,
24
+ "Other": 12071,
25
+ "DC": 1960
26
+ },
27
+ "aifi_l1": {
28
+ "T cell": 93391,
29
+ "Monocyte": 32766,
30
+ "B cell": 24494,
31
+ "NK cell": 15068,
32
+ "Progenitor cell": 5896,
33
+ "Erythrocyte": 4248,
34
+ "DC": 1960,
35
+ "Platelet": 1459,
36
+ "ILC": 468
37
+ },
38
+ "aifi_l2": {
39
+ "CD14 monocyte": 24203,
40
+ "Naive CD4 T cell": 23887,
41
+ "Memory CD4 T cell": 18323,
42
+ "Memory CD8 T cell": 14283,
43
+ "Naive CD8 T cell": 11392,
44
+ "Naive B cell": 9377,
45
+ "CD56dim NK cell": 8796,
46
+ "Memory B cell": 8285,
47
+ "gdT": 6225,
48
+ "DN T cell": 6153,
49
+ "Progenitor cell": 5896,
50
+ "Treg": 5180,
51
+ "Proliferating NK cell": 4813,
52
+ "Intermediate monocyte": 4646,
53
+ "Erythrocyte": 4248,
54
+ "CD16 monocyte": 3917,
55
+ "Effector B cell": 3444,
56
+ "MAIT": 3340,
57
+ "Transitional B cell": 2551,
58
+ "CD8aa": 2363,
59
+ "Proliferating T cell": 2245,
60
+ "CD56bright NK cell": 1459,
61
+ "Platelet": 1459,
62
+ "cDC2": 1247,
63
+ "Plasma cell": 837,
64
+ "ILC": 468,
65
+ "pDC": 406,
66
+ "cDC1": 251,
67
+ "ASDC": 56
68
+ }
69
+ },
70
+ "confidence": {
71
+ "mean_l2_max_prob": 0.9274980575783031,
72
+ "mean_l1_mass": 0.979417622089386,
73
+ "frac_l2_max_prob_ge_0.5": 0.9749541029207233
74
+ },
75
+ "timings_s": {
76
+ "predict": 2.5,
77
+ "total": 4.8
78
+ },
79
+ "subset": false
80
+ }
81
+ -> /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/work/corpus_c1q/scanvi_labels/labels.parquet
paper-releases/pbisc-diffusion/updates/20261004T065028Z-behcet-c1q-k4000-corpus/diffusion/dataset/server_1/model8/plans/behcet_c1q_lora3_20261004/logs/label-lora3k4_raw_s04.log ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Seed set to 20260916
2
+ INFO  File
3
+ /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/pla
4
+ ns/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/scanvi_mo
5
+ del/model.pt already downloaded
6
+ INFO  File
7
+ /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/pla
8
+ ns/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/scanvi_mo
9
+ del/model.pt already downloaded
10
+ INFO  Found 100.0% reference vars in query data.
11
+ INFO  File
12
+ /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/pla
13
+ ns/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/scanvi_mo
14
+ del/model.pt already downloaded
15
+ {
16
+ "method": "generated_GSE198533_all19_lora3study_lora3k4_raw_s04",
17
+ "n_cells": 95000,
18
+ "n_genes": 1005,
19
+ "label_counts": {
20
+ "celltype_l1_pred": {
21
+ "T cell": 64403,
22
+ "Monocyte": 13233,
23
+ "B cell": 9135,
24
+ "NK cell": 5433,
25
+ "DC": 1926,
26
+ "Other": 870
27
+ },
28
+ "aifi_l1": {
29
+ "T cell": 64403,
30
+ "Monocyte": 13233,
31
+ "B cell": 9135,
32
+ "NK cell": 5433,
33
+ "DC": 1926,
34
+ "Erythrocyte": 423,
35
+ "ILC": 223,
36
+ "Platelet": 168,
37
+ "Progenitor cell": 56
38
+ },
39
+ "aifi_l2": {
40
+ "Memory CD8 T cell": 15539,
41
+ "gdT": 13526,
42
+ "Memory CD4 T cell": 11638,
43
+ "Naive CD4 T cell": 10282,
44
+ "CD14 monocyte": 7464,
45
+ "Naive CD8 T cell": 4898,
46
+ "Treg": 4866,
47
+ "Naive B cell": 4124,
48
+ "Intermediate monocyte": 3881,
49
+ "CD56dim NK cell": 3735,
50
+ "Memory B cell": 3030,
51
+ "CD16 monocyte": 1888,
52
+ "cDC2": 1600,
53
+ "Effector B cell": 1318,
54
+ "MAIT": 1267,
55
+ "Proliferating NK cell": 1136,
56
+ "DN T cell": 1072,
57
+ "Proliferating T cell": 879,
58
+ "CD56bright NK cell": 562,
59
+ "Transitional B cell": 544,
60
+ "CD8aa": 436,
61
+ "Erythrocyte": 423,
62
+ "pDC": 261,
63
+ "ILC": 223,
64
+ "Platelet": 168,
65
+ "Plasma cell": 119,
66
+ "Progenitor cell": 56,
67
+ "cDC1": 48,
68
+ "ASDC": 17
69
+ }
70
+ },
71
+ "confidence": {
72
+ "mean_l2_max_prob": 0.9178780015918769,
73
+ "mean_l1_mass": 0.983802318572998,
74
+ "frac_l2_max_prob_ge_0.5": 0.975
75
+ },
76
+ "timings_s": {
77
+ "predict": 0.8,
78
+ "total": 1.5
79
+ },
80
+ "subset": false
81
+ }
82
+ -> /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/behcet_c1q_lora3_20261004/work/scanvi_labels_lora3k4_raw_s04_f01common/labels.parquet