Spaces:
Running on CPU Upgrade
Running on CPU Upgrade
Deploy SAT & ACT Learning Lab 1.8.16+hfbuild3
Browse files- DEPLOYMENT_NOTES.md +6 -6
- README.md +6 -6
- app.py +0 -0
- release_manifest.json +39 -31
DEPLOYMENT_NOTES.md
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
# Deployment notes — SAT & ACT Learning Lab 1.8.
|
| 2 |
|
| 3 |
Target private Space: `DearmonAnalytics/SAT_ACT_Learning_Lab`
|
| 4 |
|
|
@@ -6,7 +6,7 @@ Turso database: `dearmon-sat-act-learning-lab`
|
|
| 6 |
|
| 7 |
Schema namespace: `sat_act_learning_lab_v1`
|
| 8 |
|
| 9 |
-
Encrypted-source secret: `
|
| 10 |
|
| 11 |
## Runtime contract
|
| 12 |
|
|
@@ -95,7 +95,7 @@ Encrypted-source secret: `SAT_ACT_APP_FERNET_V1_8_14_HFBUILD3_B3817BEE2C27_7AEE5
|
|
| 95 |
|
| 96 |
Core secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`, `TURSO_AUTH_TOKEN`,
|
| 97 |
`LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
|
| 98 |
-
`
|
| 99 |
`SIMLI_API_KEY`.
|
| 100 |
|
| 101 |
Email recovery uses `AUTH_RECOVERY_EMAIL_ENABLED`, `AUTH_SMTP_HOST`,
|
|
@@ -117,7 +117,7 @@ packaged Simli client route, and transport settings are listed in
|
|
| 117 |
`environment.example` used to prepare this deployment. Remote avatar-client
|
| 118 |
module overrides are intentionally rejected.
|
| 119 |
|
| 120 |
-
Version 1.8.
|
| 121 |
compatibility contracts. Resume only a saved contract that is explicitly supported;
|
| 122 |
legacy checkpoints follow the tested compatibility allowlist. Incompatible work
|
| 123 |
stays blocked and requires an approved transition or learner choice, never silent
|
|
@@ -133,7 +133,7 @@ validated application patch. This Space explicitly selects python_version:
|
|
| 133 |
"3.12.13"; the builder verifies agreement with runtime.txt and the loader.
|
| 134 |
Health verification records the actual interpreter before deployment succeeds.
|
| 135 |
|
| 136 |
-
Acceptance testing for v1.8.
|
| 137 |
ink, blue, teal, and coral palette; compact 1,240-pixel workspace; bundled
|
| 138 |
same-origin Inter, Source Serif 4, and Geist Mono; and one crisp DA gradient rule
|
| 139 |
across the compact chooser and three shadow-free horizontal Practice rails.
|
|
@@ -210,7 +210,7 @@ safe retries without prompting the deployer operator.
|
|
| 210 |
|
| 211 |
## Key lifecycle and rollback
|
| 212 |
|
| 213 |
-
The current loader reads only `
|
| 214 |
new versioned, fingerprinted secret name. The deployer adds that secret before
|
| 215 |
the repository commit and retains earlier keys. Roll back by reverting the
|
| 216 |
Space repository to the prior commit recorded in `deployment_receipt.json`.
|
|
|
|
| 1 |
+
# Deployment notes — SAT & ACT Learning Lab 1.8.16+hfbuild3
|
| 2 |
|
| 3 |
Target private Space: `DearmonAnalytics/SAT_ACT_Learning_Lab`
|
| 4 |
|
|
|
|
| 6 |
|
| 7 |
Schema namespace: `sat_act_learning_lab_v1`
|
| 8 |
|
| 9 |
+
Encrypted-source secret: `SAT_ACT_APP_FERNET_V1_8_16_HFBUILD3_C2095ADFF309_A8F675D27AE0`
|
| 10 |
|
| 11 |
## Runtime contract
|
| 12 |
|
|
|
|
| 95 |
|
| 96 |
Core secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`, `TURSO_AUTH_TOKEN`,
|
| 97 |
`LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
|
| 98 |
+
`SAT_ACT_APP_FERNET_V1_8_16_HFBUILD3_C2095ADFF309_A8F675D27AE0`. Live avatar video additionally uses optional
|
| 99 |
`SIMLI_API_KEY`.
|
| 100 |
|
| 101 |
Email recovery uses `AUTH_RECOVERY_EMAIL_ENABLED`, `AUTH_SMTP_HOST`,
|
|
|
|
| 117 |
`environment.example` used to prepare this deployment. Remote avatar-client
|
| 118 |
module overrides are intentionally rejected.
|
| 119 |
|
| 120 |
+
Version 1.8.16+hfbuild3 uses immutable item/timing/scoring snapshots and explicit recovery
|
| 121 |
compatibility contracts. Resume only a saved contract that is explicitly supported;
|
| 122 |
legacy checkpoints follow the tested compatibility allowlist. Incompatible work
|
| 123 |
stays blocked and requires an approved transition or learner choice, never silent
|
|
|
|
| 133 |
"3.12.13"; the builder verifies agreement with runtime.txt and the loader.
|
| 134 |
Health verification records the actual interpreter before deployment succeeds.
|
| 135 |
|
| 136 |
+
Acceptance testing for v1.8.16+hfbuild3 must verify the exact Dearmon Analytics paper,
|
| 137 |
ink, blue, teal, and coral palette; compact 1,240-pixel workspace; bundled
|
| 138 |
same-origin Inter, Source Serif 4, and Geist Mono; and one crisp DA gradient rule
|
| 139 |
across the compact chooser and three shadow-free horizontal Practice rails.
|
|
|
|
| 210 |
|
| 211 |
## Key lifecycle and rollback
|
| 212 |
|
| 213 |
+
The current loader reads only `SAT_ACT_APP_FERNET_V1_8_16_HFBUILD3_C2095ADFF309_A8F675D27AE0`. A later release must generate a
|
| 214 |
new versioned, fingerprinted secret name. The deployer adds that secret before
|
| 215 |
the repository commit and retains earlier keys. Roll back by reverting the
|
| 216 |
Space repository to the prior commit recorded in `deployment_receipt.json`.
|
README.md
CHANGED
|
@@ -14,7 +14,7 @@ short_description: Dynamic SAT/ACT practice, mastery, and reasoning graphs
|
|
| 14 |
|
| 15 |
# Dearmon Analytics SAT & ACT Learning Lab
|
| 16 |
|
| 17 |
-
Release `1.8.
|
| 18 |
ACT skill blueprints, a complete eight-level question-skill hierarchy,
|
| 19 |
individual mastery tracking, targeted practice, and test-like diagnostic
|
| 20 |
sessions with separate raw results and unofficial practice-score estimates. It adds username/password
|
|
@@ -25,7 +25,7 @@ Signed-in students can also download their complete personalized Topic Graph as
|
|
| 25 |
a branded PNG, printable PDF, accessible hierarchy-and-concepts CSV, and
|
| 26 |
verification manifest; demo sessions remain nonexportable.
|
| 27 |
|
| 28 |
-
Release 1.8.
|
| 29 |
coral system established in v1.4.4 for the compact 1,240-pixel workspace. Bundled Inter, Source Serif 4, and
|
| 30 |
Geist Mono fonts are served from same-origin routes. The compact test chooser
|
| 31 |
and closely stacked Section → Domain → Narrow Topic rails use one restrained DA
|
|
@@ -45,7 +45,7 @@ printable exam/answer-key PDFs so raw LaTeX is never the learner-facing
|
|
| 45 |
fallback. The collapsed item-specific Concepts Needed swim lane, complete
|
| 46 |
analogous worked examples, separate hints, and mastery whitening remain.
|
| 47 |
|
| 48 |
-
Release 1.8.
|
| 49 |
Exam → Section → Official Domain → Official Skill Family → Narrow Exam
|
| 50 |
Target → Prerequisite Bundle → Atomic Skill → Observable Failure Attribute
|
| 51 |
path. Each stable profile contains its complete ancestor and transitive-
|
|
@@ -73,7 +73,7 @@ pretest/EFT items and AI supplemental printable items are excluded. Fewer than
|
|
| 73 |
eight observed items or less than one quarter of a standard section remains a
|
| 74 |
preliminary, very-low-confidence result below the reporting threshold.
|
| 75 |
|
| 76 |
-
Release 1.8.
|
| 77 |
explanation and a signed-in cross-question Learning Diagnostic. The diagnostic
|
| 78 |
unlocks only after strict majority coverage of both Reading and Math for the
|
| 79 |
same exam. It sends OpenAI only allowlisted aggregate performance evidence—not
|
|
@@ -126,7 +126,7 @@ attribute-level mastery or retention records.
|
|
| 126 |
This private Space uses the separate Turso database
|
| 127 |
`dearmon-sat-act-learning-lab` and schema namespace
|
| 128 |
`sat_act_learning_lab_v1`. Its encrypted application uses the versioned Space
|
| 129 |
-
secret `
|
| 130 |
|
| 131 |
Required Space secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`,
|
| 132 |
`TURSO_AUTH_TOKEN`, `LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
|
|
@@ -181,7 +181,7 @@ controls, and retention policies.
|
|
| 181 |
|
| 182 |
## Upgrade note
|
| 183 |
|
| 184 |
-
Version 1.8.
|
| 185 |
compatibility contracts. Resume only a saved contract that is explicitly supported;
|
| 186 |
legacy checkpoints follow the tested compatibility allowlist. Incompatible work
|
| 187 |
stays blocked and requires an approved transition or learner choice, never silent
|
|
|
|
| 14 |
|
| 15 |
# Dearmon Analytics SAT & ACT Learning Lab
|
| 16 |
|
| 17 |
+
Release `1.8.16+hfbuild3` provides original dynamic practice for current SAT and
|
| 18 |
ACT skill blueprints, a complete eight-level question-skill hierarchy,
|
| 19 |
individual mastery tracking, targeted practice, and test-like diagnostic
|
| 20 |
sessions with separate raw results and unofficial practice-score estimates. It adds username/password
|
|
|
|
| 25 |
a branded PNG, printable PDF, accessible hierarchy-and-concepts CSV, and
|
| 26 |
verification manifest; demo sessions remain nonexportable.
|
| 27 |
|
| 28 |
+
Release 1.8.16+hfbuild3 retains the exact Dearmon Analytics paper, ink, blue, teal, and
|
| 29 |
coral system established in v1.4.4 for the compact 1,240-pixel workspace. Bundled Inter, Source Serif 4, and
|
| 30 |
Geist Mono fonts are served from same-origin routes. The compact test chooser
|
| 31 |
and closely stacked Section → Domain → Narrow Topic rails use one restrained DA
|
|
|
|
| 45 |
fallback. The collapsed item-specific Concepts Needed swim lane, complete
|
| 46 |
analogous worked examples, separate hints, and mastery whitening remain.
|
| 47 |
|
| 48 |
+
Release 1.8.16+hfbuild3 assigns all 1,983 trusted built-in question profiles their full
|
| 49 |
Exam → Section → Official Domain → Official Skill Family → Narrow Exam
|
| 50 |
Target → Prerequisite Bundle → Atomic Skill → Observable Failure Attribute
|
| 51 |
path. Each stable profile contains its complete ancestor and transitive-
|
|
|
|
| 73 |
eight observed items or less than one quarter of a standard section remains a
|
| 74 |
preliminary, very-low-confidence result below the reporting threshold.
|
| 75 |
|
| 76 |
+
Release 1.8.16+hfbuild3 retains one OpenAI-assisted follow-up beneath each graded
|
| 77 |
explanation and a signed-in cross-question Learning Diagnostic. The diagnostic
|
| 78 |
unlocks only after strict majority coverage of both Reading and Math for the
|
| 79 |
same exam. It sends OpenAI only allowlisted aggregate performance evidence—not
|
|
|
|
| 126 |
This private Space uses the separate Turso database
|
| 127 |
`dearmon-sat-act-learning-lab` and schema namespace
|
| 128 |
`sat_act_learning_lab_v1`. Its encrypted application uses the versioned Space
|
| 129 |
+
secret `SAT_ACT_APP_FERNET_V1_8_16_HFBUILD3_C2095ADFF309_A8F675D27AE0`.
|
| 130 |
|
| 131 |
Required Space secrets are `OPENAI_API_KEY`, `TURSO_DATABASE_URL`,
|
| 132 |
`TURSO_AUTH_TOKEN`, `LEARNER_ID_HMAC_SECRET`, `INSTRUCTOR_EXPORT_SECRET`, and
|
|
|
|
| 181 |
|
| 182 |
## Upgrade note
|
| 183 |
|
| 184 |
+
Version 1.8.16+hfbuild3 uses immutable item/timing/scoring snapshots and explicit recovery
|
| 185 |
compatibility contracts. Resume only a saved contract that is explicitly supported;
|
| 186 |
legacy checkpoints follow the tested compatibility allowlist. Incompatible work
|
| 187 |
stays blocked and requires an approved transition or learner choice, never silent
|
app.py
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
release_manifest.json
CHANGED
|
@@ -1,21 +1,21 @@
|
|
| 1 |
{
|
| 2 |
-
"built_utc": "2026-09-
|
| 3 |
"database_name": "dearmon-sat-act-learning-lab",
|
| 4 |
-
"encrypted_payload_sha256": "
|
| 5 |
"entry_module": "sat_act_lab.app_main",
|
| 6 |
-
"fernet_secret_name": "
|
| 7 |
-
"key_fingerprint_sha256_prefix": "
|
| 8 |
-
"plaintext_archive_sha256": "
|
| 9 |
"public_runtime_overrides": {
|
| 10 |
"AUTH_EMAIL_FROM": "jacob@dearmonanalytics.com"
|
| 11 |
},
|
| 12 |
-
"release_version": "1.8.
|
| 13 |
"schema_namespace": "sat_act_learning_lab_v1",
|
| 14 |
"schema_version": "dearmon-sat-act-release-v1",
|
| 15 |
"source_members": {
|
| 16 |
"sat_act_lab/__init__.py": {
|
| 17 |
"bytes": 72,
|
| 18 |
-
"sha256": "
|
| 19 |
},
|
| 20 |
"sat_act_lab/account_browser.py": {
|
| 21 |
"bytes": 37693,
|
|
@@ -34,20 +34,24 @@
|
|
| 34 |
"sha256": "5959db1e6a007f9384978c2a65af82e9bfd81216db939a1d852a91852badef8e"
|
| 35 |
},
|
| 36 |
"sat_act_lab/adaptive_test.py": {
|
| 37 |
-
"bytes":
|
| 38 |
-
"sha256": "
|
| 39 |
},
|
| 40 |
"sat_act_lab/ai_question_overflow.py": {
|
| 41 |
"bytes": 33336,
|
| 42 |
"sha256": "e2e964945f7eb773ac6a4b47a9e2568b61ef738dce0ccf131895b76037e42acf"
|
| 43 |
},
|
| 44 |
"sat_act_lab/app_main.py": {
|
| 45 |
-
"bytes":
|
| 46 |
-
"sha256": "
|
| 47 |
},
|
| 48 |
"sat_act_lab/assessment_checkpoint.py": {
|
| 49 |
-
"bytes":
|
| 50 |
-
"sha256": "
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
},
|
| 52 |
"sat_act_lab/attribute_graph.py": {
|
| 53 |
"bytes": 132741,
|
|
@@ -62,8 +66,8 @@
|
|
| 62 |
"sha256": "40fea9ca0cef1105ebb6ae3f729023de057f721687bd25bbe416ed5da02f9a01"
|
| 63 |
},
|
| 64 |
"sat_act_lab/baseline_diagnostic.py": {
|
| 65 |
-
"bytes":
|
| 66 |
-
"sha256": "
|
| 67 |
},
|
| 68 |
"sat_act_lab/blueprints.py": {
|
| 69 |
"bytes": 49657,
|
|
@@ -74,8 +78,8 @@
|
|
| 74 |
"sha256": "f3e552f76e81cd1a65187cfa95c126b42497f7a623000057c55aa210eb24e978"
|
| 75 |
},
|
| 76 |
"sat_act_lab/browser_compat.py": {
|
| 77 |
-
"bytes":
|
| 78 |
-
"sha256": "
|
| 79 |
},
|
| 80 |
"sat_act_lab/checkpoint_keys.py": {
|
| 81 |
"bytes": 2874,
|
|
@@ -90,8 +94,8 @@
|
|
| 90 |
"sha256": "3bf687f5c248ec5b1251e209c605b170618d7878b79c3e268b7c6043fe5e3e9b"
|
| 91 |
},
|
| 92 |
"sat_act_lab/demo_sessions.py": {
|
| 93 |
-
"bytes":
|
| 94 |
-
"sha256": "
|
| 95 |
},
|
| 96 |
"sat_act_lab/deployment_readiness.py": {
|
| 97 |
"bytes": 16863,
|
|
@@ -102,8 +106,8 @@
|
|
| 102 |
"sha256": "b721e84931c453bb34b9ac1079028c10f868a681fa2c1eea2b5a36bfe3e3112b"
|
| 103 |
},
|
| 104 |
"sat_act_lab/diagnostic_skills.py": {
|
| 105 |
-
"bytes":
|
| 106 |
-
"sha256": "
|
| 107 |
},
|
| 108 |
"sat_act_lab/email_trace.py": {
|
| 109 |
"bytes": 7575,
|
|
@@ -165,6 +169,10 @@
|
|
| 165 |
"bytes": 22555,
|
| 166 |
"sha256": "8b9ddb347ba4921597546a6430bcbc322eea1fe7f57e457432448ffb5e3bf6af"
|
| 167 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
| 168 |
"sat_act_lab/practice_exam_planner.py": {
|
| 169 |
"bytes": 6731,
|
| 170 |
"sha256": "96dda3ddb76bc2d837769865fdbe177ad650bfd21cd158d161e5cb13123fa6a9"
|
|
@@ -206,8 +214,8 @@
|
|
| 206 |
"sha256": "fd91fa4e509cf27d95a2364a3a98ce92520b788d672cec5cdef1c3a116404add"
|
| 207 |
},
|
| 208 |
"sat_act_lab/question_engine.py": {
|
| 209 |
-
"bytes":
|
| 210 |
-
"sha256": "
|
| 211 |
},
|
| 212 |
"sat_act_lab/question_skill_audit.py": {
|
| 213 |
"bytes": 33700,
|
|
@@ -218,8 +226,8 @@
|
|
| 218 |
"sha256": "1aa10782b3fcbc90d9e9313d69bf92b5fe1668f7c069d59cdb9255c3edc039f8"
|
| 219 |
},
|
| 220 |
"sat_act_lab/recovery_compatibility.py": {
|
| 221 |
-
"bytes":
|
| 222 |
-
"sha256": "
|
| 223 |
},
|
| 224 |
"sat_act_lab/release_authorization.py": {
|
| 225 |
"bytes": 17375,
|
|
@@ -282,8 +290,8 @@
|
|
| 282 |
"sha256": "f151d8839bd6124c44d589eb61da57a1c99f4bcc1f77a46e5b80f1a7e77ad061"
|
| 283 |
},
|
| 284 |
"sat_act_lab/tracking.py": {
|
| 285 |
-
"bytes":
|
| 286 |
-
"sha256": "
|
| 287 |
}
|
| 288 |
},
|
| 289 |
"space_file_hashes": {
|
|
@@ -293,19 +301,19 @@
|
|
| 293 |
},
|
| 294 |
"DEPLOYMENT_NOTES.md": {
|
| 295 |
"bytes": 18330,
|
| 296 |
-
"sha256": "
|
| 297 |
},
|
| 298 |
"README.md": {
|
| 299 |
"bytes": 15842,
|
| 300 |
-
"sha256": "
|
| 301 |
},
|
| 302 |
"THIRD_PARTY_NOTICES.md": {
|
| 303 |
"bytes": 73850,
|
| 304 |
"sha256": "288997d5002f0932271a0a7173a2cf074f63e3c2ad0cd9195a6c32e4c29e452b"
|
| 305 |
},
|
| 306 |
"app.py": {
|
| 307 |
-
"bytes":
|
| 308 |
-
"sha256": "
|
| 309 |
},
|
| 310 |
"pre-requirements.txt": {
|
| 311 |
"bytes": 44842,
|
|
|
|
| 1 |
{
|
| 2 |
+
"built_utc": "2026-09-14T00:19:21+00:00",
|
| 3 |
"database_name": "dearmon-sat-act-learning-lab",
|
| 4 |
+
"encrypted_payload_sha256": "f2c621d6132b02ecc435e6949ad811a90c6f0c62d803f87399c608efa499f9fc",
|
| 5 |
"entry_module": "sat_act_lab.app_main",
|
| 6 |
+
"fernet_secret_name": "SAT_ACT_APP_FERNET_V1_8_16_HFBUILD3_C2095ADFF309_A8F675D27AE0",
|
| 7 |
+
"key_fingerprint_sha256_prefix": "A8F675D27AE0",
|
| 8 |
+
"plaintext_archive_sha256": "c2095adff309d967ad5b9c9d0129b24240bb4f62fcc2a776a824e934f41bc6d6",
|
| 9 |
"public_runtime_overrides": {
|
| 10 |
"AUTH_EMAIL_FROM": "jacob@dearmonanalytics.com"
|
| 11 |
},
|
| 12 |
+
"release_version": "1.8.16+hfbuild3",
|
| 13 |
"schema_namespace": "sat_act_learning_lab_v1",
|
| 14 |
"schema_version": "dearmon-sat-act-release-v1",
|
| 15 |
"source_members": {
|
| 16 |
"sat_act_lab/__init__.py": {
|
| 17 |
"bytes": 72,
|
| 18 |
+
"sha256": "4f8216cbd5f658690ce1e865e282ded6d380a2ca11436c38a3cb6084e30e4290"
|
| 19 |
},
|
| 20 |
"sat_act_lab/account_browser.py": {
|
| 21 |
"bytes": 37693,
|
|
|
|
| 34 |
"sha256": "5959db1e6a007f9384978c2a65af82e9bfd81216db939a1d852a91852badef8e"
|
| 35 |
},
|
| 36 |
"sat_act_lab/adaptive_test.py": {
|
| 37 |
+
"bytes": 28570,
|
| 38 |
+
"sha256": "3f98c756f2c26b8ce33867680b914d1e928f9e988ee3ce3757b8c3d17e1f6cbc"
|
| 39 |
},
|
| 40 |
"sat_act_lab/ai_question_overflow.py": {
|
| 41 |
"bytes": 33336,
|
| 42 |
"sha256": "e2e964945f7eb773ac6a4b47a9e2568b61ef738dce0ccf131895b76037e42acf"
|
| 43 |
},
|
| 44 |
"sat_act_lab/app_main.py": {
|
| 45 |
+
"bytes": 654080,
|
| 46 |
+
"sha256": "b08adaf6beb1f1578b44ec5dd2e9afeb5688633a9d8aaab34afa21ea06a950d2"
|
| 47 |
},
|
| 48 |
"sat_act_lab/assessment_checkpoint.py": {
|
| 49 |
+
"bytes": 9881,
|
| 50 |
+
"sha256": "5781c5eded55723e32cbfcca9ca9f6c1717b15106f904a2f187eb1f3c6996949"
|
| 51 |
+
},
|
| 52 |
+
"sat_act_lab/assessment_view.py": {
|
| 53 |
+
"bytes": 3072,
|
| 54 |
+
"sha256": "2a3fbd3cfc0440e3b7a58704365e3e17afeb76993a37369843a544119f8442fd"
|
| 55 |
},
|
| 56 |
"sat_act_lab/attribute_graph.py": {
|
| 57 |
"bytes": 132741,
|
|
|
|
| 66 |
"sha256": "40fea9ca0cef1105ebb6ae3f729023de057f721687bd25bbe416ed5da02f9a01"
|
| 67 |
},
|
| 68 |
"sat_act_lab/baseline_diagnostic.py": {
|
| 69 |
+
"bytes": 23980,
|
| 70 |
+
"sha256": "383c47f4656beca34077fefe10c59a47c0a8bda3d8f6c419a1c1102fc77d68aa"
|
| 71 |
},
|
| 72 |
"sat_act_lab/blueprints.py": {
|
| 73 |
"bytes": 49657,
|
|
|
|
| 78 |
"sha256": "f3e552f76e81cd1a65187cfa95c126b42497f7a623000057c55aa210eb24e978"
|
| 79 |
},
|
| 80 |
"sat_act_lab/browser_compat.py": {
|
| 81 |
+
"bytes": 8160,
|
| 82 |
+
"sha256": "1a77d1e0af80f713b7540ffa4483a36defafefcdd5ea2b92d7d293cf4adfb78f"
|
| 83 |
},
|
| 84 |
"sat_act_lab/checkpoint_keys.py": {
|
| 85 |
"bytes": 2874,
|
|
|
|
| 94 |
"sha256": "3bf687f5c248ec5b1251e209c605b170618d7878b79c3e268b7c6043fe5e3e9b"
|
| 95 |
},
|
| 96 |
"sat_act_lab/demo_sessions.py": {
|
| 97 |
+
"bytes": 48626,
|
| 98 |
+
"sha256": "be1be8add9e587a422d012246bf9a4ab01bb05eed8e4868560aa3f6b977c940a"
|
| 99 |
},
|
| 100 |
"sat_act_lab/deployment_readiness.py": {
|
| 101 |
"bytes": 16863,
|
|
|
|
| 106 |
"sha256": "b721e84931c453bb34b9ac1079028c10f868a681fa2c1eea2b5a36bfe3e3112b"
|
| 107 |
},
|
| 108 |
"sat_act_lab/diagnostic_skills.py": {
|
| 109 |
+
"bytes": 120108,
|
| 110 |
+
"sha256": "2d8dd6668d17164b81b4488dd3bbb05956c3d156ca45bc36dd9076bc46f019a3"
|
| 111 |
},
|
| 112 |
"sat_act_lab/email_trace.py": {
|
| 113 |
"bytes": 7575,
|
|
|
|
| 169 |
"bytes": 22555,
|
| 170 |
"sha256": "8b9ddb347ba4921597546a6430bcbc322eea1fe7f57e457432448ffb5e3bf6af"
|
| 171 |
},
|
| 172 |
+
"sat_act_lab/numeric_response.py": {
|
| 173 |
+
"bytes": 9936,
|
| 174 |
+
"sha256": "5dde24477534074bb0ab1cdc1b6b597b0e428f39871adc7e992b2677d426ecb4"
|
| 175 |
+
},
|
| 176 |
"sat_act_lab/practice_exam_planner.py": {
|
| 177 |
"bytes": 6731,
|
| 178 |
"sha256": "96dda3ddb76bc2d837769865fdbe177ad650bfd21cd158d161e5cb13123fa6a9"
|
|
|
|
| 214 |
"sha256": "fd91fa4e509cf27d95a2364a3a98ce92520b788d672cec5cdef1c3a116404add"
|
| 215 |
},
|
| 216 |
"sat_act_lab/question_engine.py": {
|
| 217 |
+
"bytes": 241638,
|
| 218 |
+
"sha256": "60b997c978daa253209ace672e7bd28564d5a6dcd4f04b17c17170b60e5a7b27"
|
| 219 |
},
|
| 220 |
"sat_act_lab/question_skill_audit.py": {
|
| 221 |
"bytes": 33700,
|
|
|
|
| 226 |
"sha256": "1aa10782b3fcbc90d9e9313d69bf92b5fe1668f7c069d59cdb9255c3edc039f8"
|
| 227 |
},
|
| 228 |
"sat_act_lab/recovery_compatibility.py": {
|
| 229 |
+
"bytes": 1956,
|
| 230 |
+
"sha256": "d8d96f90691435215e0d79e44ea2995650b068051e521ea0ea1cb8011f258a68"
|
| 231 |
},
|
| 232 |
"sat_act_lab/release_authorization.py": {
|
| 233 |
"bytes": 17375,
|
|
|
|
| 290 |
"sha256": "f151d8839bd6124c44d589eb61da57a1c99f4bcc1f77a46e5b80f1a7e77ad061"
|
| 291 |
},
|
| 292 |
"sat_act_lab/tracking.py": {
|
| 293 |
+
"bytes": 330409,
|
| 294 |
+
"sha256": "68031280e95ca0046eb0edfbf01e5733d07d0c7adb56857e5a4aba7675a54200"
|
| 295 |
}
|
| 296 |
},
|
| 297 |
"space_file_hashes": {
|
|
|
|
| 301 |
},
|
| 302 |
"DEPLOYMENT_NOTES.md": {
|
| 303 |
"bytes": 18330,
|
| 304 |
+
"sha256": "f2268bf3eee4fbd68c2e37ff0713cf7effa86ac646a29942db9c5d6980adea30"
|
| 305 |
},
|
| 306 |
"README.md": {
|
| 307 |
"bytes": 15842,
|
| 308 |
+
"sha256": "25fd99d19e9cd4c328dd3f1a22ff38087dd989b7349107f4c863773ddbd0998c"
|
| 309 |
},
|
| 310 |
"THIRD_PARTY_NOTICES.md": {
|
| 311 |
"bytes": 73850,
|
| 312 |
"sha256": "288997d5002f0932271a0a7173a2cf074f63e3c2ad0cd9195a6c32e4c29e452b"
|
| 313 |
},
|
| 314 |
"app.py": {
|
| 315 |
+
"bytes": 2283344,
|
| 316 |
+
"sha256": "30ccda2c9d7af0805d19471e794ed3b73a2de32522dbfddf4d97dd7536dd26ea"
|
| 317 |
},
|
| 318 |
"pre-requirements.txt": {
|
| 319 |
"bytes": 44842,
|