Publish 2026_W41_unit
Browse files- README.md +10 -9
- autoencoder.pt +2 -2
- checksums.json +29 -29
- component_feature_expectations.npz +2 -2
- conditioning_summary.json +86 -101
- config.json +2 -2
- context_transform.joblib +1 -1
- context_weight_model_bundle.pt +1 -1
- ephysatlas_model.json +10 -10
- example/expected_latents.npy +1 -1
- example/expected_predictions.parquet +1 -1
- global_gmm.joblib +2 -2
- global_gmm_summary.json +28 -28
- knn_bank.npz +2 -2
- preprocessing/unit_stats.npz +2 -2
- readout_summary.json +40 -40
- results/summary.json +20 -20
- shared_latent_scaler.joblib +1 -1
- split.json +356 -410
README.md
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@@ -9,21 +9,22 @@ tags:
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- international-brain-lab
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---
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# Ephys Atlas unit-level interpolation model (
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Predicts **which kinds of neurons you expect to record at a brain position**, and their expected
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waveform phenotype. Trained by the
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[International Brain Laboratory](https://www.internationalbrainlab.com/) on spike-sorted units of
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the Ephys Atlas release `
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The model has three stages:
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1. a multimodal autoencoder embeds each unit's multi-channel **waveform**, 3D
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**autocorrelogram** and **
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60-d latent -- its phenotype;
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2. a **25-component Gaussian mixture** over the standardised latents, whose
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components read as putative cell types. Component shapes are global; the **mixture weights
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depend on the molecular context** (
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3. a **context-local exemplar readout** maps the model back to 10 interpretable waveform features: `depolarisation_slope`, `recovery_slope`, `repolarisation_slope`, `spatial_spread_um`, `tip_val`, `spike_width_secs`, `predepolarisation_width_secs`, `spike_amplitude`, `peak_to_trough_ratio_log`, `polarity`. At a position, each component is represented by its training members whose molecular context resembles the position's (the 4096 nearest in a 3-d context key, shrunk toward all of the component's members -- the more so the farther the context lies from the training data, and entirely where there is no context). So the context sets the mixture weights **and** selects which training exemplars represent each component; the latent density depends on it only through the weights.
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> **The input is a position.** `predict` takes `x, y, z` (IBL/Allen frame, metres) and returns the
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import pandas as pd
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from ephysatlas import load_pretrained
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model = load_pretrained("int-brain-lab/ea-encoder-unit", revision="
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df = pd.read_parquet("example/positions_sample.parquet") # positions (x, y, z)
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out = model.predict(df) # one pred_<feature> column each
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weights = model.mixture_weights(df) # putative cell-type composition
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- `knn_bank.npz` -- standardised latents, phenotype features, GMM components and context keys of the training units (the exemplars; part of the model, like the stored points of any nearest-neighbour model).
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- `component_feature_expectations.npz` -- each component's expected features over the whole
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brain.
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- `agea_vol_pca.npy`, `merfish_vol_pca.npy` -- the molecular
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volumes as the channel-level model `int-brain-lab/ea-encoder-channel` of this vintage.
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- `split.json`, `config.json`, `preprocessing/unit_stats.npz`, `results/` -- the probe split, the
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training configuration, the training-data statistics and held-out evaluation summaries.
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## Reproducibility
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**Pin the revision.** `revision="
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which tracks the currently recommended model. `ephysatlas_model.json` records the training-time
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environment and random seed; `model.selftest()` verifies your install reproduces the shipped
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output (no IBL account needed).
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## Citation
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Please cite the International Brain Laboratory Ephys Atlas. Model id `
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`
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- international-brain-lab
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---
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+
# Ephys Atlas unit-level interpolation model (2026_W41)
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Predicts **which kinds of neurons you expect to record at a brain position**, and their expected
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waveform phenotype. Trained by the
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[International Brain Laboratory](https://www.internationalbrainlab.com/) on spike-sorted units of
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+
the Ephys Atlas release `2026_W41` (56497 training units).
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The model has three stages:
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1. a multimodal autoencoder embeds each unit's multi-channel **waveform**, 3D
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+
**autocorrelogram** and **population coupling** (waveform, acg, stpc) into a
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60-d latent -- its phenotype;
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2. a **25-component Gaussian mixture** over the standardised latents, whose
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components read as putative cell types. Component shapes are global; the **mixture weights
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+
depend on the molecular and cellular context** (PCA volumes of the molecular and cellular
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atlases) at the unit's position;
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3. a **context-local exemplar readout** maps the model back to 10 interpretable waveform features: `depolarisation_slope`, `recovery_slope`, `repolarisation_slope`, `spatial_spread_um`, `tip_val`, `spike_width_secs`, `predepolarisation_width_secs`, `spike_amplitude`, `peak_to_trough_ratio_log`, `polarity`. At a position, each component is represented by its training members whose molecular context resembles the position's (the 4096 nearest in a 3-d context key, shrunk toward all of the component's members -- the more so the farther the context lies from the training data, and entirely where there is no context). So the context sets the mixture weights **and** selects which training exemplars represent each component; the latent density depends on it only through the weights.
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> **The input is a position.** `predict` takes `x, y, z` (IBL/Allen frame, metres) and returns the
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import pandas as pd
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from ephysatlas import load_pretrained
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model = load_pretrained("int-brain-lab/ea-encoder-unit", revision="2026_W41")
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df = pd.read_parquet("example/positions_sample.parquet") # positions (x, y, z)
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out = model.predict(df) # one pred_<feature> column each
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weights = model.mixture_weights(df) # putative cell-type composition
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|
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- `knn_bank.npz` -- standardised latents, phenotype features, GMM components and context keys of the training units (the exemplars; part of the model, like the stored points of any nearest-neighbour model).
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- `component_feature_expectations.npz` -- each component's expected features over the whole
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brain.
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+
- `agea_vol_pca.npy`, `merfish_vol_pca.npy` -- the molecular and cellular context volumes, the same frozen
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volumes as the channel-level model `int-brain-lab/ea-encoder-channel` of this vintage.
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- `split.json`, `config.json`, `preprocessing/unit_stats.npz`, `results/` -- the probe split, the
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training configuration, the training-data statistics and held-out evaluation summaries.
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## Reproducibility
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**Pin the revision.** `revision="2026_W41"` is an immutable tag; omitting it resolves to `main`,
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which tracks the currently recommended model. `ephysatlas_model.json` records the training-time
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environment and random seed; `model.selftest()` verifies your install reproduces the shipped
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output (no IBL account needed).
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## Citation
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+
Please cite the International Brain Laboratory Ephys Atlas. Model id `2026_W41_unit`, vintage
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`2026_W41`.
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readout_summary.json
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"1baf8347-6f43-4504-919a-883366e0e03a",
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"1bd85dab-7a53-49d1-acd4-e82f9fd07cf6",
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"1c4e2ebd-59da-4527-9700-b4b2dad6dfb2",
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"3017e4dc-2150-43ad-9b08-b95b48ba8dfa",
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"69f42a9c-095d-4a25-bca8-61a9869871d3",
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"69f546ce-a67c-4849-a7d4-6a90371baf8e",
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"6bd246d2-b2c2-4a88-ac44-1a3e0facbaee",
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"6eb8be8d-d089-43c6-b2e4-a6558ca16dcf",
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"6fc4d73c-2071-43ec-a756-c6c6d8322c8b",
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@@ -251,21 +238,16 @@
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| 251 |
"703f2cd2-377a-48ec-979a-135863169671",
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"70da415f-444d-4148-ade7-a1f58a16fcf8",
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"715866f3-1477-4567-aa0f-93ea1ae882e9",
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"717ac421-2c1a-4db3-a31d-fcebc0cd869c",
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"71ea989a-2e1a-4022-aff5-fcfe9a2c9452",
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"7587e3bb-dd11-4853-b48b-feab0b56ae05",
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@@ -274,66 +256,63 @@
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"789fd2ee-c755-46c5-9c6f-260092520216",
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"7cb7e369-f7d2-4327-93ba-04165ce0f713",
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"7dcd74a9-fc7a-4c3c-85b9-769d869629ec",
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-
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@@ -342,42 +321,32 @@
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| 342 |
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@@ -385,477 +354,454 @@
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"a63a7248-9393-478b-9478-64f421ef5eb8",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 625 |
"b40d8c65-7ee8-4069-8b64-1a3f7907742f",
|
| 626 |
+
"b721156e-7a7c-48ad-aadb-7fd2cd2ac40b",
|
| 627 |
+
"b78b3c42-eee5-47c6-9717-743b78c0b721",
|
| 628 |
+
"b88bef14-62a9-4294-ac3e-4e45b9bce3d9",
|
| 629 |
"b8dbd3af-a589-41e4-878c-3372eaa1a8f6",
|
| 630 |
+
"b911a05b-dfd3-43bd-831c-0cdcbb470232",
|
| 631 |
+
"bae9adba-8064-4f42-a7c5-57173c6f4c51",
|
| 632 |
+
"bc1602ba-dd6c-4ae4-bcb2-4925e7c8632a",
|
| 633 |
+
"be9a2119-a4d7-4e62-82a1-b1a6623ecc99",
|
| 634 |
+
"c16b8e98-100f-40ce-b417-b1524c7e1270",
|
| 635 |
"c410fda5-a6db-4697-a7e3-6ed65601844d",
|
| 636 |
+
"ca5404f7-297c-40f1-bbf0-5ac0a63e24f8",
|
| 637 |
+
"cab81176-36cd-4c37-9353-841e85027d36",
|
|
|
|
|
|
|
| 638 |
"ce24bbe9-ae70-4659-9e9c-564d1a865de8",
|
| 639 |
+
"d0046384-16ea-4f69-bae9-165e8d0aeacf",
|
| 640 |
+
"d258bca2-bf18-4491-8d57-5322f705caec",
|
| 641 |
+
"d2c20947-f668-43a0-9351-f2dde7d45949",
|
| 642 |
+
"d7ec0892-0a6c-4f4f-9d8f-72083692af5c",
|
| 643 |
+
"dce4e63f-7ece-4dae-bd6e-5b116c2fbe37",
|
| 644 |
+
"e8f9fba4-d151-4b00-bee7-447f0f3e752c",
|
| 645 |
+
"ec7ebf8c-63a2-4f2b-8305-7291364f5c44",
|
|
|
|
| 646 |
"eeb27b45-5b85-4e5c-b6ff-f639ca5687de",
|
| 647 |
+
"eebcaf65-7fa4-4118-869d-a084e84530e2",
|
| 648 |
+
"ef7e9f3e-a53a-4e00-8f6a-537667af2bea",
|
| 649 |
+
"f2a098e7-a67e-4125-92d8-36fc6b606c45",
|
| 650 |
+
"f2ea7211-85f3-4394-b03e-1302a1dfe79c",
|
| 651 |
+
"f7c93877-ec05-4091-a003-e69fae0f2fa8",
|
| 652 |
+
"fddceb2e-82ba-493d-baba-c5d8af65981f",
|
| 653 |
+
"febb430e-2d50-4f83-87a0-b5ffbb9a4943"
|
| 654 |
],
|
| 655 |
"test_pids": [
|
| 656 |
"00a96dee-1e8b-44cc-9cc3-aca704d2b594",
|
| 657 |
"0106dd46-8489-4346-880a-83b779d18aaf",
|
| 658 |
+
"02328ef5-47d4-4690-b020-04b6315aa2d6",
|
| 659 |
+
"02cc03e4-8015-4050-bb42-6c832091febb",
|
| 660 |
+
"04c9890f-2276-4c20-854f-305ff5c9b6cf",
|
| 661 |
+
"06787c50-ae12-4c3a-a7fa-06d68d053a2c",
|
| 662 |
+
"069c2674-80b0-44b4-a3d9-28337512967f",
|
| 663 |
+
"07c79864-6fff-4e72-9fce-1c982e3457f9",
|
| 664 |
+
"08ed0b3c-9f94-4c1f-8522-3d42a642a6b0",
|
| 665 |
+
"0a9800bb-b4a3-4162-b6a8-79a07c6131cc",
|
| 666 |
+
"0eb65305-bb95-4bf1-a154-1b810c0cff25",
|
| 667 |
+
"107b7dce-aa70-4d32-b39a-bc97983148fd",
|
| 668 |
+
"154b7adb-c947-4b65-a0ff-c0bb707e1564",
|
| 669 |
+
"1784cd4b-2bd0-417f-a530-d57b0ddf5f42",
|
| 670 |
+
"17fa2600-6349-4b6f-a7e4-d8ea5558fa12",
|
| 671 |
+
"18556afe-2b66-4b2a-88a3-50a76370b4ba",
|
| 672 |
+
"1a924329-65aa-465d-b201-c2dd898aebd0",
|
|
|
|
|
|
|
| 673 |
"1f7a73da-d42c-4b1a-a999-b3ddeead6159",
|
| 674 |
+
"21c78bad-44c0-40b8-bed1-b262ee92638a",
|
| 675 |
+
"220bca21-4cf8-43f1-a213-71645899c571",
|
| 676 |
+
"24149f5c-2984-4b48-922b-3cd1452cd4bd",
|
| 677 |
+
"24e34935-69c9-45dc-9fdc-5c12a3351ed5",
|
| 678 |
+
"28d5d3fa-bae7-499c-9362-7328ed2ff0d0",
|
| 679 |
+
"2a790797-3a94-46f9-a76a-6e8366e8d00d",
|
|
|
|
|
|
|
| 680 |
"2adc4f5d-bc7b-42a4-be76-f5df33d713d4",
|
| 681 |
+
"2b41ca4b-d209-47f4-9b51-54eb5698cba3",
|
| 682 |
+
"2c7b7191-cb21-4f4e-ac8f-3345803337f7",
|
| 683 |
+
"2dd99c91-292f-44e3-bbf2-8cfa56015106",
|
| 684 |
+
"3017e4dc-2150-43ad-9b08-b95b48ba8dfa",
|
| 685 |
"30dfb8c6-9202-43fd-a92d-19fe68602b6f",
|
| 686 |
+
"31f3e083-a324-4b88-b0a4-7788ec37b191",
|
| 687 |
+
"3270d18e-df94-42d9-bace-6e9ee95c29c7",
|
| 688 |
+
"39180bcb-13e5-46f9-89e1-8ea2cba22105",
|
| 689 |
+
"39883ded-f5a2-4f4f-a98e-fb138eb8433e",
|
| 690 |
+
"3ccb2d59-9e94-48e6-9e72-0b7b96bd3f9b",
|
| 691 |
+
"3d4bd64c-d80d-4eac-be29-eecff4e4fedf",
|
| 692 |
+
"3e10f496-580e-490c-98bd-01b4b2bd7646",
|
| 693 |
"3eb6e6e0-8a57-49d6-b7c9-f39d5834e682",
|
| 694 |
+
"41dc1107-fbcb-4174-a262-19928c355018",
|
| 695 |
+
"42c4fda6-4472-40ab-be9f-4d6634a5a7de",
|
| 696 |
+
"43436b4b-0431-407f-b83d-d657ec22b5c6",
|
| 697 |
+
"49ad86ad-a4b4-401d-9553-7763ef4f6b74",
|
| 698 |
+
"4c04120d-523a-4795-ba8f-49dbb8d9f63a",
|
| 699 |
+
"4ca5f874-f14e-4f62-adb3-c638a94a89f2",
|
| 700 |
+
"507b20cf-4ab0-4f55-9a81-88b02839d127",
|
| 701 |
+
"521d4f09-e044-4da7-82dd-7db7b1dea72b",
|
| 702 |
+
"5458cb27-d065-4626-bcd8-1aa775e1115e",
|
| 703 |
+
"55423355-281c-41f2-8ef7-5aa098ffbbed",
|
| 704 |
+
"578ca001-8cf5-4d30-b58f-1d574eaf808a",
|
| 705 |
+
"59b7a543-8827-4157-a4f6-d5d0e50fdf39",
|
| 706 |
+
"5a2f99aa-d3f5-469d-882e-0a16ee869746",
|
| 707 |
+
"5dbc8715-d409-4a18-bbdd-c029b4f9bd53",
|
|
|
|
|
|
|
| 708 |
"5e84c8e7-236f-4a64-a944-dc4a17c64f1d",
|
| 709 |
+
"5fe6becf-f438-4391-b048-ef092fa63a85",
|
|
|
|
| 710 |
"61ed1a53-2f33-4a83-82ba-ec7dfa65bf60",
|
| 711 |
"625a7bc9-00cf-44f6-a508-3ed89d23ba3a",
|
| 712 |
+
"63435e73-6a72-4007-b0da-03e6473e6870",
|
| 713 |
+
"63517fd4-ece1-49eb-9259-371dc30b1dd6",
|
| 714 |
+
"63679ae2-6c87-495b-b888-a7273e545636",
|
| 715 |
+
"63a32e5c-f63a-450d-85cb-140947b67eaf",
|
| 716 |
"6506252f-1141-4e11-8816-4db01b71dda0",
|
| 717 |
"65073b52-6a94-4a67-bdfb-8575ebd2ce38",
|
| 718 |
+
"6bd246d2-b2c2-4a88-ac44-1a3e0facbaee",
|
|
|
|
|
|
|
| 719 |
"6c2522fb-13b3-4753-a32d-48e9b28dcffe",
|
| 720 |
+
"6d4db36d-8de7-47ec-b493-7baa1c141871",
|
| 721 |
+
"701026df-e170-4ca7-88aa-eb0b95ef6ba1",
|
| 722 |
+
"717ac421-2c1a-4db3-a31d-fcebc0cd869c",
|
| 723 |
+
"71ea989a-2e1a-4022-aff5-fcfe9a2c9452",
|
| 724 |
+
"72fbb028-325f-4cf9-a75f-2ae4aeb42a85",
|
| 725 |
+
"7909c0aa-c074-4e19-aabf-b8167c682a5b",
|
| 726 |
+
"7a02c052-ce65-4d60-99d7-4723cdb334a3",
|
| 727 |
+
"7bd5627e-b02e-47f1-b476-4bf8eaa726b3",
|
| 728 |
+
"7be00744-2e27-4062-8f56-3969e24e9990",
|
| 729 |
+
"81f35c52-f7bb-4342-8f91-1837a068c045",
|
| 730 |
+
"825ba9b8-ce03-49b7-b1a8-4d85ae2185af",
|
| 731 |
+
"87ac657a-e576-4f7c-a673-916238df620b",
|
| 732 |
+
"88e148d2-d554-42c2-9c41-cc6369f98c45",
|
| 733 |
+
"88fe9ed9-9e3e-431a-8ecc-4cb2fe5bf448",
|
| 734 |
+
"8f1d5aad-8c1f-4e81-869a-5a1ab1bf53b2",
|
| 735 |
+
"8fbfa285-d721-4a1a-8c18-f36652c17909",
|
|
|
|
|
|
|
|
|
|
| 736 |
"9117969a-3f0d-478b-ad75-98263e3bfacf",
|
| 737 |
"954b1983-e603-4611-ba15-dc2db6f988ab",
|
| 738 |
+
"95fd67e6-cbff-4356-80c7-5a03b1bf6b8a",
|
| 739 |
+
"9657af01-50bd-4120-8303-416ad9e24a51",
|
| 740 |
+
"97207d87-3fcd-4ebb-b0c7-087bdbf8a95c",
|
| 741 |
+
"97415ee8-0b90-456c-83c2-05e7a398c06c",
|
| 742 |
+
"98d9b1db-e58b-4780-9655-29768e5af716",
|
| 743 |
+
"9b5fec96-9f19-4ddf-ba1c-3175e15245e9",
|
| 744 |
+
"9cbc2ee7-ef87-4399-aca9-5680977a5625",
|
| 745 |
"a4d9d9d5-6ea3-4234-aa28-e064e83626fa",
|
|
|
|
|
|
|
|
|
|
| 746 |
"a759e857-fd8f-4653-a397-c48547230427",
|
| 747 |
+
"a85b9795-f99c-4c1d-a376-8b5ef095ffd7",
|
| 748 |
+
"ad315779-2b39-46c4-8348-b166e796fa7c",
|
| 749 |
+
"adcd791c-ead3-4572-a9cb-028bbee1d2e4",
|
| 750 |
+
"ae2b9f1b-ebe3-4b56-8957-31982186e6ec",
|
| 751 |
"ae6da90c-0e3e-4cfb-bed1-1d57ce4d2480",
|
|
|
|
| 752 |
"af1e9dee-8c26-4b2b-ac43-358221048797",
|
| 753 |
+
"afe87fbb-3a17-461f-b333-e22903f1d70d",
|
| 754 |
+
"b114e7e0-92b3-43bb-9529-53860e52606d",
|
| 755 |
+
"b25799a5-09e8-4656-9c1b-44bc9cbb5279",
|
| 756 |
+
"b2746c16-7152-45a3-a7f0-477985638638",
|
| 757 |
"b45c8f3f-6361-41df-9bc1-9df98b3d30e6",
|
| 758 |
+
"b8df4cc3-e973-4267-8cf8-a55cea77e1ac",
|
| 759 |
+
"b9a637fe-0f2a-4426-a0b6-1d4ecd154a93",
|
| 760 |
+
"ba291bec-4492-4d7f-a6aa-483ebb64b3c3",
|
| 761 |
+
"babba401-64eb-4861-a144-c60f68a04ae6",
|
|
|
|
|
|
|
| 762 |
"bc2e8a39-af40-4ad2-8e4c-3ba7020b2f7b",
|
| 763 |
+
"bdd57835-38b0-46ff-acda-45e14b8d6293",
|
| 764 |
+
"be28876b-c477-43a0-aa89-cbf5552f061f",
|
| 765 |
"bf591043-03c2-48bb-9197-e17e85aaeb8f",
|
| 766 |
+
"c1229ef6-4fb4-4a1d-91f8-51baeaf9180f",
|
| 767 |
+
"c17772a9-21b5-49df-ab31-3017addea12e",
|
| 768 |
+
"c44adf4f-3d1c-491f-88e4-c516cc910bd8",
|
| 769 |
+
"c4f6665f-8be5-476b-a6e8-d81eeae9279d",
|
| 770 |
+
"c5b9e063-f640-4936-b851-f7602cb6659b",
|
| 771 |
+
"c736dc60-0726-410d-8419-cb6ea025d5b1",
|
| 772 |
+
"ca5764ea-a57e-49de-8156-84da18ad439f",
|
|
|
|
|
|
|
| 773 |
"ce99545f-c6a5-4d53-8b68-0ceb78bd942e",
|
| 774 |
+
"cee40c88-e460-4724-ae88-2977c5439b05",
|
| 775 |
"cf162e22-792b-4eef-9f98-0a436456ae04",
|
| 776 |
+
"d0c038fe-ef0d-4842-94ef-0de651dbd1c2",
|
| 777 |
+
"d3507787-60c8-4cea-a61e-0c708b4361d8",
|
| 778 |
+
"d3b3c9a7-cf6a-4d25-b8da-e0f599a26191",
|
| 779 |
"d42dfc14-537e-43cf-a919-9f1aad91a0ff",
|
| 780 |
+
"d552cffa-b662-40bd-b1e3-98d0a8face2c",
|
| 781 |
+
"d595ee58-75bb-4df3-96de-d9b4f4d1f6ab",
|
| 782 |
+
"d5e5311c-8beb-4f8f-b798-3e9bfa6bcdd8",
|
| 783 |
+
"d87ac4bd-ce67-4871-bd6f-374aa446ed56",
|
| 784 |
+
"db2100c3-64ac-463e-97a1-20ce8266cd5f",
|
| 785 |
+
"dd619e10-5df1-4c79-bd62-cc00937b5d36",
|
| 786 |
+
"dd75e810-a399-4364-9d4a-517312cf3010",
|
| 787 |
+
"e45a00b1-14a0-4f5e-9ea5-9f76d042b11c",
|
| 788 |
+
"e4ce2e94-6fb9-4afe-acbf-6f5a3498602e",
|
| 789 |
+
"e92f8734-2c06-4168-9271-d00b3bf57c02",
|
|
|
|
| 790 |
"ea084e63-c0cb-4e11-8440-302de8fc76ee",
|
| 791 |
+
"eb0baec1-4ca1-4b31-b03c-69335de3a7e3",
|
| 792 |
+
"eb82b081-4edc-4d6a-89ee-3453d1c4c8f0",
|
| 793 |
+
"eda7a3ac-f038-4603-9c68-816234e9c4eb",
|
| 794 |
+
"efd88e2e-7d5c-49a9-b3cd-cf8c19ee91c1",
|
|
|
|
| 795 |
"f03b61b4-6b13-479d-940f-d1608eb275cc",
|
| 796 |
+
"f06d6cd9-a6b8-49a4-90d1-7905d04c2f8b",
|
| 797 |
+
"f3e925a4-048d-46c9-ba15-c244f4e0a09a",
|
| 798 |
+
"f4f45cff-c45c-413a-92ea-b6533e3e0019",
|
| 799 |
+
"f4ff3ff8-19b7-40c7-bf6f-8b577b811ed1",
|
|
|
|
|
|
|
| 800 |
"f703e521-7cd1-440a-a22d-71eb253e6c42",
|
| 801 |
+
"f9656eee-141c-453d-a016-4aba68f674dc",
|
| 802 |
+
"f9d8aacd-b2a0-49f2-bd71-c2f5aadcfdd1",
|
| 803 |
+
"fa539f97-a078-4fc6-9a12-237799466d9c",
|
| 804 |
+
"fe9c2533-d7cd-48d9-b208-837282961f2e"
|
|
|
|
|
|
|
| 805 |
],
|
| 806 |
+
"split_sha256": "3096a276fa245414e975446e7ddc130835dd077e3da6bfffe44507925b5a8637"
|
| 807 |
}
|