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evalstate HF Staff commited on
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Refresh transformers dataset snapshot 20260711T060022Z

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Files changed (20) hide show
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11675
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15075
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15076
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15077
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17547
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17550
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17551
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20617
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20618
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20619
  "follow_through_score": "mixed",
new-contributors-report.md CHANGED
@@ -1,9 +1,9 @@
1
  # New Contributor Report: huggingface/transformers
2
 
3
- - Snapshot: `20260711T000031Z`
4
- - Generated: `2026-07-11T00:01:15Z`
5
  - Activity window: `60d`
6
- - Contributors: `370`
7
 
8
  ## Summary
9
 
@@ -156,7 +156,6 @@
156
  | `JJJYmmm` | [profile](https://github.com/JJJYmmm) | no | CONTRIBUTOR | 1648d | `2026-01-27T10:34:17Z` | 8 | 0 | mixed | moderate | low | targets high-star repos |
157
  | `ydshieh2` | [profile](https://github.com/ydshieh2) | no | CONTRIBUTOR | 596d | `2025-06-12T08:51:40Z` | 7 | 0 | weak | low | low | high open PR share; no visible non-self stars; targets high-star repos |
158
  | `SangbumChoi` | [profile](https://github.com/SangbumChoi) | no | CONTRIBUTOR | 3079d | `2024-06-07T00:26:26Z` | 6 | 0 | weak | low | low | high open PR share; targets high-star repos |
159
- | `jamesbraza` | [profile](https://github.com/jamesbraza) | no | CONTRIBUTOR | 4221d | `2026-04-23T00:37:54Z` | 5 | 5 | strong | moderate | low | high recent PR volume |
160
  | `KoichiYasuoka` | [profile](https://github.com/KoichiYasuoka) | no | CONTRIBUTOR | 3900d | `2026-01-21T06:14:39Z` | 5 | 4 | weak | low | low | high open PR share; targets high-star repos |
161
  | `sirzechs66` | [profile](https://github.com/sirzechs66) | no | CONTRIBUTOR | 1246d | `2026-03-30T12:18:41Z` | 5 | 0 | weak | low | medium | many recent closed-unmerged PRs; high open PR share; targets high-star repos |
162
  | `sbucaille` | [profile](https://github.com/sbucaille) | no | CONTRIBUTOR | 3451d | `2025-03-21T09:38:40Z` | 4 | 4 | weak | low | low | high open PR share; targets high-star repos |
@@ -203,7 +202,6 @@
203
  | `LauraGPT` | [profile](https://github.com/LauraGPT) | no | FIRST_TIME_CONTRIBUTOR | 3699d | `2026-05-24T11:07:04Z` | 1 | 1 | weak | moderate | low | high open PR share; targets high-star repos |
204
  | `Madhav-000-s` | [profile](https://github.com/Madhav-000-s) | no | FIRST_TIME_CONTRIBUTOR | 661d | `2026-07-03T19:34:26Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
205
  | `mjkmain` | [profile](https://github.com/mjkmain) | no | NONE | 2071d | `2026-06-04T22:13:07Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
206
- | `nealwu` | [profile](https://github.com/nealwu) | no | CONTRIBUTOR | 5508d | `2026-05-12T03:11:36Z` | 1 | 1 | strong | low | low | — |
207
  | `OmkumarSolanki` | [profile](https://github.com/OmkumarSolanki) | no | FIRST_TIME_CONTRIBUTOR | 1018d | `2026-06-26T02:23:31Z` | 1 | 1 | weak | moderate | low | high recent PR volume; high open PR share; targets high-star repos |
208
  | `Reigenleif` | [profile](https://github.com/Reigenleif) | no | NONE | 1631d | `2026-06-06T14:24:41Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
209
  | `shubhammr21` | [profile](https://github.com/shubhammr21) | no | FIRST_TIME_CONTRIBUTOR | 4155d | `2026-05-22T10:45:10Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
@@ -246,6 +244,7 @@
246
  | `Butterfingrz` | [profile](https://github.com/Butterfingrz) | no | CONTRIBUTOR | 1134d | `2026-06-29T14:31:31Z` | 1 | 0 | mixed | moderate | low | high open PR share |
247
  | `C1-BA-B1-F3` | [profile](https://github.com/C1-BA-B1-F3) | no | NONE | 3300d | `2026-06-25T12:57:12Z` | 1 | 0 | weak | very high | medium | high recent PR volume; very broad repo spread; high open PR share; targets high-star repos |
248
  | `calliec-1223` | [profile](https://github.com/calliec-1223) | no | CONTRIBUTOR | 68d | `2026-06-02T02:20:39Z` | 1 | 0 | weak | low | medium | very new account; high open PR share; no visible non-self stars; targets high-star repos |
 
249
  | `Charansripadi` | [profile](https://github.com/Charansripadi) | no | FIRST_TIMER | 1422d | `2026-06-19T19:17:29Z` | 1 | 0 | weak | low | low | high open PR share; no visible non-self stars; targets high-star repos |
250
  | `cheparity` | [profile](https://github.com/cheparity) | no | FIRST_TIME_CONTRIBUTOR | 1517d | `2026-06-03T05:18:26Z` | 1 | 0 | weak | low | low | high open PR share; targets high-star repos |
251
  | `Chinmay1220` | [profile](https://github.com/Chinmay1220) | no | FIRST_TIME_CONTRIBUTOR | 999d | `2026-06-11T16:14:03Z` | 1 | 0 | strong | moderate | low | high recent PR volume |
@@ -298,7 +297,7 @@
298
  | `lakshmiprasanna07` | [profile](https://github.com/lakshmiprasanna07) | no | NONE | 1219d | `2026-07-03T19:17:34Z` | 1 | 0 | weak | low | low | high open PR share; targets high-star repos |
299
  | `lalitha2410` | [profile](https://github.com/lalitha2410) | no | FIRST_TIMER | 1043d | `2026-05-17T13:42:37Z` | 1 | 0 | weak | low | low | high open PR share; no visible non-self stars; targets high-star repos |
300
  | `lanxuejin` | [profile](https://github.com/lanxuejin) | no | FIRST_TIME_CONTRIBUTOR | 2869d | `2026-06-04T12:32:43Z` | 1 | 0 | weak | low | low | high open PR share; targets high-star repos |
301
- | `lefft` | [profile](https://github.com/lefft) | yes | FIRST_TIME_CONTRIBUTOR | 3998d | `2026-07-10T21:40:09Z` | 1 | 0 | mixed | low | low | high open PR share; targets high-star repos |
302
  | `Lemniscate-world` | [profile](https://github.com/Lemniscate-world) | no | NONE | 1024d | `2026-06-09T11:39:04Z` | 1 | 0 | mixed | moderate | low | — |
303
  | `LevelVoid` | [profile](https://github.com/LevelVoid) | no | FIRST_TIME_CONTRIBUTOR | 983d | `2026-07-09T15:16:26Z` | 1 | 0 | strong | moderate | low | — |
304
  | `lewtun` | [profile](https://github.com/lewtun) | no | MEMBER | 3372d | `2024-10-18T08:50:17Z` | 1 | 0 | strong | low | low | high recent PR volume; targets high-star repos |
@@ -1458,7 +1457,7 @@ Example artifacts:
1458
  Example artifacts:
1459
  - [PR #46784: Fix Moonshine training-loss double-shift (train against labels, not labels[..., 1:])](https://github.com/huggingface/transformers/pull/46784) — closed, merged
1460
  - [PR #46763: Round the ue8m0 FP8 scale before quantizing so dequant matches the stored inverse](https://github.com/huggingface/transformers/pull/46763) — closed, merged
1461
- - [PR #46734: Fix gradient inflation when combining label smoothing with gradient accumulation](https://github.com/huggingface/transformers/pull/46734) — open
1462
  - [Issue #46731: LabelSmoother ignores num_items_in_batch, inflating gradients by ~gradient_accumulation_steps with label smoothing](https://github.com/huggingface/transformers/issues/46731) — open
1463
  - [Issue #46519: StopStringCriteria misses CJK stop strings on byte-level tokenizers when a character splits into byte-fragment tokens](https://github.com/huggingface/transformers/issues/46519) — closed
1464
 
@@ -3236,12 +3235,12 @@ Example artifacts:
3236
  - repo PR search: [open search](https://github.com/huggingface/transformers/pulls?q=is%3Apr+author%3Alcheng321)
3237
  - repo issue search: [open search](https://github.com/huggingface/transformers/issues?q=is%3Aissue+author%3Alcheng321)
3238
  - repo first seen: `2026-06-20T07:49:11Z`
3239
- - repo last seen: `2026-07-05T07:02:42Z`
3240
  - first seen in snapshot: **no**
3241
  - repo association: **CONTRIBUTOR**
3242
  - repo primary artifacts: **2**
3243
  - snapshot authored PRs/issues: **2 PRs / 0 issues**
3244
- - snapshot discussion activity: **5 comments / 0 reviews / 0 review comments**
3245
  - account age: **2614 days**
3246
  - recent public PR activity: **21 PRs** (4 merged / 9 closed-unmerged / 8 open; merged rate **19%**, closed-unmerged rate **43%**, open rate **38%**)
3247
  - public orgs: none visible
@@ -3789,32 +3788,6 @@ Example artifacts:
3789
  - [PR #45746: Fix link to modular transformers documentation](https://github.com/huggingface/transformers/pull/45746) — closed, merged
3790
  - [PR #43451: Add Molmo2](https://github.com/huggingface/transformers/pull/43451) — open
3791
 
3792
- ### `jamesbraza`
3793
-
3794
- - profile: [github.com/jamesbraza](https://github.com/jamesbraza)
3795
- - repo PR search: [open search](https://github.com/huggingface/transformers/pulls?q=is%3Apr+author%3Ajamesbraza)
3796
- - repo issue search: [open search](https://github.com/huggingface/transformers/issues?q=is%3Aissue+author%3Ajamesbraza)
3797
- - repo first seen: `2026-04-23T00:37:54Z`
3798
- - repo last seen: `2026-05-15T16:21:46Z`
3799
- - first seen in snapshot: **no**
3800
- - repo association: **CONTRIBUTOR**
3801
- - repo primary artifacts: **10**
3802
- - snapshot authored PRs/issues: **5 PRs / 5 issues**
3803
- - snapshot discussion activity: **9 comments / 3 reviews / 3 review comments**
3804
- - account age: **4221 days**
3805
- - recent public PR activity: **36 PRs** (32 merged / 2 closed-unmerged / 2 open; merged rate **89%**, closed-unmerged rate **6%**, open rate **6%**)
3806
- - public orgs: none visible
3807
- - compact scores: follow-through **strong**, breadth **moderate**, automation risk **low**
3808
- - heuristic read: **high recent PR volume**
3809
-
3810
- Example artifacts:
3811
- - [PR #45903: Fix M-RoPE `inv_freq` device and `meta` → `to_empty` re-init in Qwen3-VL family](https://github.com/huggingface/transformers/pull/45903) — closed
3812
- - [PR #45861: Fix M-RoPE device mismatch in Qwen3VL family under FSDP2 CPU offload](https://github.com/huggingface/transformers/pull/45861) — closed, merged
3813
- - [PR #45770: Unwrap `text_config` in `AutoModelFor*.from_config`](https://github.com/huggingface/transformers/pull/45770) — closed, merged
3814
- - [Issue #45902: `Qwen3_5MoeTextRotaryEmbedding.inv_freq` reads uninitialized memory after `meta → to_empty(cuda)` materialization](https://github.com/huggingface/transformers/issues/45902) — closed
3815
- - [Issue #45859: `Qwen3_5MoeTextRotaryEmbedding.forward` is not compatible with CPU offload](https://github.com/huggingface/transformers/issues/45859) — closed
3816
- - [Issue #45759: `AutoModelForCausalLM.from_config` does not unwrap `text_config` for composite Qwen 3.5 and 3.6 multimodal configs](https://github.com/huggingface/transformers/issues/45759) — closed
3817
-
3818
  ### `KoichiYasuoka`
3819
 
3820
  - profile: [github.com/KoichiYasuoka](https://github.com/KoichiYasuoka)
@@ -4854,28 +4827,6 @@ Example artifacts:
4854
  - [PR #46427: Add KORMo model](https://github.com/huggingface/transformers/pull/46427) — closed
4855
  - [Issue #46426: Add KORMo model](https://github.com/huggingface/transformers/issues/46426) — open
4856
 
4857
- ### `nealwu`
4858
-
4859
- - profile: [github.com/nealwu](https://github.com/nealwu)
4860
- - repo PR search: [open search](https://github.com/huggingface/transformers/pulls?q=is%3Apr+author%3Anealwu)
4861
- - repo issue search: [open search](https://github.com/huggingface/transformers/issues?q=is%3Aissue+author%3Anealwu)
4862
- - repo first seen: `2026-05-12T03:11:36Z`
4863
- - repo last seen: `2026-05-12T03:18:27Z`
4864
- - first seen in snapshot: **no**
4865
- - repo association: **CONTRIBUTOR**
4866
- - repo primary artifacts: **2**
4867
- - snapshot authored PRs/issues: **1 PRs / 1 issues**
4868
- - snapshot discussion activity: **0 comments / 0 reviews / 0 review comments**
4869
- - account age: **5508 days**
4870
- - recent public PR activity: **7 PRs** (7 merged / 0 closed-unmerged / 0 open; merged rate **100%**, closed-unmerged rate **0%**, open rate **0%**)
4871
- - public orgs: `thinking-machines-lab`
4872
- - compact scores: follow-through **strong**, breadth **low**, automation risk **low**
4873
- - heuristic read: **—**
4874
-
4875
- Example artifacts:
4876
- - [PR #45908: Forward `revision` to `list_repo_files` in tokenizer loading](https://github.com/huggingface/transformers/pull/45908) — closed, merged
4877
- - [Issue #45907: Our `tinker-cookbook` CI broke: `list_repo_files` should forward the `revision` argument](https://github.com/huggingface/transformers/issues/45907) — closed
4878
-
4879
  ### `OmkumarSolanki`
4880
 
4881
  - profile: [github.com/OmkumarSolanki](https://github.com/OmkumarSolanki)
@@ -5764,6 +5715,27 @@ Example artifacts:
5764
  Example artifacts:
5765
  - [PR #46336: Fix grammar typos in Whisper documentation](https://github.com/huggingface/transformers/pull/46336) — closed, merged
5766
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5767
  ### `Charansripadi`
5768
 
5769
  - profile: [github.com/Charansripadi](https://github.com/Charansripadi)
@@ -6863,7 +6835,7 @@ Example artifacts:
6863
  - repo issue search: [open search](https://github.com/huggingface/transformers/issues?q=is%3Aissue+author%3Alefft)
6864
  - repo first seen: `2026-07-10T21:40:09Z`
6865
  - repo last seen: `2026-07-10T21:40:09Z`
6866
- - first seen in snapshot: **yes**
6867
  - repo association: **FIRST_TIME_CONTRIBUTOR**
6868
  - repo primary artifacts: **1**
6869
  - snapshot authored PRs/issues: **1 PRs / 0 issues**
 
1
  # New Contributor Report: huggingface/transformers
2
 
3
+ - Snapshot: `20260711T060022Z`
4
+ - Generated: `2026-07-11T06:00:52Z`
5
  - Activity window: `60d`
6
+ - Contributors: `369`
7
 
8
  ## Summary
9
 
 
156
  | `JJJYmmm` | [profile](https://github.com/JJJYmmm) | no | CONTRIBUTOR | 1648d | `2026-01-27T10:34:17Z` | 8 | 0 | mixed | moderate | low | targets high-star repos |
157
  | `ydshieh2` | [profile](https://github.com/ydshieh2) | no | CONTRIBUTOR | 596d | `2025-06-12T08:51:40Z` | 7 | 0 | weak | low | low | high open PR share; no visible non-self stars; targets high-star repos |
158
  | `SangbumChoi` | [profile](https://github.com/SangbumChoi) | no | CONTRIBUTOR | 3079d | `2024-06-07T00:26:26Z` | 6 | 0 | weak | low | low | high open PR share; targets high-star repos |
 
159
  | `KoichiYasuoka` | [profile](https://github.com/KoichiYasuoka) | no | CONTRIBUTOR | 3900d | `2026-01-21T06:14:39Z` | 5 | 4 | weak | low | low | high open PR share; targets high-star repos |
160
  | `sirzechs66` | [profile](https://github.com/sirzechs66) | no | CONTRIBUTOR | 1246d | `2026-03-30T12:18:41Z` | 5 | 0 | weak | low | medium | many recent closed-unmerged PRs; high open PR share; targets high-star repos |
161
  | `sbucaille` | [profile](https://github.com/sbucaille) | no | CONTRIBUTOR | 3451d | `2025-03-21T09:38:40Z` | 4 | 4 | weak | low | low | high open PR share; targets high-star repos |
 
202
  | `LauraGPT` | [profile](https://github.com/LauraGPT) | no | FIRST_TIME_CONTRIBUTOR | 3699d | `2026-05-24T11:07:04Z` | 1 | 1 | weak | moderate | low | high open PR share; targets high-star repos |
203
  | `Madhav-000-s` | [profile](https://github.com/Madhav-000-s) | no | FIRST_TIME_CONTRIBUTOR | 661d | `2026-07-03T19:34:26Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
204
  | `mjkmain` | [profile](https://github.com/mjkmain) | no | NONE | 2071d | `2026-06-04T22:13:07Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
 
205
  | `OmkumarSolanki` | [profile](https://github.com/OmkumarSolanki) | no | FIRST_TIME_CONTRIBUTOR | 1018d | `2026-06-26T02:23:31Z` | 1 | 1 | weak | moderate | low | high recent PR volume; high open PR share; targets high-star repos |
206
  | `Reigenleif` | [profile](https://github.com/Reigenleif) | no | NONE | 1631d | `2026-06-06T14:24:41Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
207
  | `shubhammr21` | [profile](https://github.com/shubhammr21) | no | FIRST_TIME_CONTRIBUTOR | 4155d | `2026-05-22T10:45:10Z` | 1 | 1 | weak | low | low | high open PR share; targets high-star repos |
 
244
  | `Butterfingrz` | [profile](https://github.com/Butterfingrz) | no | CONTRIBUTOR | 1134d | `2026-06-29T14:31:31Z` | 1 | 0 | mixed | moderate | low | high open PR share |
245
  | `C1-BA-B1-F3` | [profile](https://github.com/C1-BA-B1-F3) | no | NONE | 3300d | `2026-06-25T12:57:12Z` | 1 | 0 | weak | very high | medium | high recent PR volume; very broad repo spread; high open PR share; targets high-star repos |
246
  | `calliec-1223` | [profile](https://github.com/calliec-1223) | no | CONTRIBUTOR | 68d | `2026-06-02T02:20:39Z` | 1 | 0 | weak | low | medium | very new account; high open PR share; no visible non-self stars; targets high-star repos |
247
+ | `cgu2022` | [profile](https://github.com/cgu2022) | yes | FIRST_TIME_CONTRIBUTOR | 2807d | `2026-07-11T01:22:43Z` | 1 | 0 | weak | low | low | high open PR share; targets high-star repos |
248
  | `Charansripadi` | [profile](https://github.com/Charansripadi) | no | FIRST_TIMER | 1422d | `2026-06-19T19:17:29Z` | 1 | 0 | weak | low | low | high open PR share; no visible non-self stars; targets high-star repos |
249
  | `cheparity` | [profile](https://github.com/cheparity) | no | FIRST_TIME_CONTRIBUTOR | 1517d | `2026-06-03T05:18:26Z` | 1 | 0 | weak | low | low | high open PR share; targets high-star repos |
250
  | `Chinmay1220` | [profile](https://github.com/Chinmay1220) | no | FIRST_TIME_CONTRIBUTOR | 999d | `2026-06-11T16:14:03Z` | 1 | 0 | strong | moderate | low | high recent PR volume |
 
297
  | `lakshmiprasanna07` | [profile](https://github.com/lakshmiprasanna07) | no | NONE | 1219d | `2026-07-03T19:17:34Z` | 1 | 0 | weak | low | low | high open PR share; targets high-star repos |
298
  | `lalitha2410` | [profile](https://github.com/lalitha2410) | no | FIRST_TIMER | 1043d | `2026-05-17T13:42:37Z` | 1 | 0 | weak | low | low | high open PR share; no visible non-self stars; targets high-star repos |
299
  | `lanxuejin` | [profile](https://github.com/lanxuejin) | no | FIRST_TIME_CONTRIBUTOR | 2869d | `2026-06-04T12:32:43Z` | 1 | 0 | weak | low | low | high open PR share; targets high-star repos |
300
+ | `lefft` | [profile](https://github.com/lefft) | no | FIRST_TIME_CONTRIBUTOR | 3998d | `2026-07-10T21:40:09Z` | 1 | 0 | mixed | low | low | high open PR share; targets high-star repos |
301
  | `Lemniscate-world` | [profile](https://github.com/Lemniscate-world) | no | NONE | 1024d | `2026-06-09T11:39:04Z` | 1 | 0 | mixed | moderate | low | — |
302
  | `LevelVoid` | [profile](https://github.com/LevelVoid) | no | FIRST_TIME_CONTRIBUTOR | 983d | `2026-07-09T15:16:26Z` | 1 | 0 | strong | moderate | low | — |
303
  | `lewtun` | [profile](https://github.com/lewtun) | no | MEMBER | 3372d | `2024-10-18T08:50:17Z` | 1 | 0 | strong | low | low | high recent PR volume; targets high-star repos |
 
1457
  Example artifacts:
1458
  - [PR #46784: Fix Moonshine training-loss double-shift (train against labels, not labels[..., 1:])](https://github.com/huggingface/transformers/pull/46784) — closed, merged
1459
  - [PR #46763: Round the ue8m0 FP8 scale before quantizing so dequant matches the stored inverse](https://github.com/huggingface/transformers/pull/46763) — closed, merged
1460
+ - [PR #46734: Fix gradient inflation when combining label smoothing with gradient accumulation](https://github.com/huggingface/transformers/pull/46734) — closed
1461
  - [Issue #46731: LabelSmoother ignores num_items_in_batch, inflating gradients by ~gradient_accumulation_steps with label smoothing](https://github.com/huggingface/transformers/issues/46731) — open
1462
  - [Issue #46519: StopStringCriteria misses CJK stop strings on byte-level tokenizers when a character splits into byte-fragment tokens](https://github.com/huggingface/transformers/issues/46519) — closed
1463
 
 
3235
  - repo PR search: [open search](https://github.com/huggingface/transformers/pulls?q=is%3Apr+author%3Alcheng321)
3236
  - repo issue search: [open search](https://github.com/huggingface/transformers/issues?q=is%3Aissue+author%3Alcheng321)
3237
  - repo first seen: `2026-06-20T07:49:11Z`
3238
+ - repo last seen: `2026-07-11T04:58:28Z`
3239
  - first seen in snapshot: **no**
3240
  - repo association: **CONTRIBUTOR**
3241
  - repo primary artifacts: **2**
3242
  - snapshot authored PRs/issues: **2 PRs / 0 issues**
3243
+ - snapshot discussion activity: **6 comments / 0 reviews / 0 review comments**
3244
  - account age: **2614 days**
3245
  - recent public PR activity: **21 PRs** (4 merged / 9 closed-unmerged / 8 open; merged rate **19%**, closed-unmerged rate **43%**, open rate **38%**)
3246
  - public orgs: none visible
 
3788
  - [PR #45746: Fix link to modular transformers documentation](https://github.com/huggingface/transformers/pull/45746) — closed, merged
3789
  - [PR #43451: Add Molmo2](https://github.com/huggingface/transformers/pull/43451) — open
3790
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3791
  ### `KoichiYasuoka`
3792
 
3793
  - profile: [github.com/KoichiYasuoka](https://github.com/KoichiYasuoka)
 
4827
  - [PR #46427: Add KORMo model](https://github.com/huggingface/transformers/pull/46427) — closed
4828
  - [Issue #46426: Add KORMo model](https://github.com/huggingface/transformers/issues/46426) — open
4829
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4830
  ### `OmkumarSolanki`
4831
 
4832
  - profile: [github.com/OmkumarSolanki](https://github.com/OmkumarSolanki)
 
5715
  Example artifacts:
5716
  - [PR #46336: Fix grammar typos in Whisper documentation](https://github.com/huggingface/transformers/pull/46336) — closed, merged
5717
 
5718
+ ### `cgu2022`
5719
+
5720
+ - profile: [github.com/cgu2022](https://github.com/cgu2022)
5721
+ - repo PR search: [open search](https://github.com/huggingface/transformers/pulls?q=is%3Apr+author%3Acgu2022)
5722
+ - repo issue search: [open search](https://github.com/huggingface/transformers/issues?q=is%3Aissue+author%3Acgu2022)
5723
+ - repo first seen: `2026-07-11T01:22:43Z`
5724
+ - repo last seen: `2026-07-11T02:01:51Z`
5725
+ - first seen in snapshot: **yes**
5726
+ - repo association: **FIRST_TIME_CONTRIBUTOR**
5727
+ - repo primary artifacts: **1**
5728
+ - snapshot authored PRs/issues: **1 PRs / 0 issues**
5729
+ - snapshot discussion activity: **1 comments / 0 reviews / 0 review comments**
5730
+ - account age: **2807 days**
5731
+ - recent public PR activity: **1 PRs** (0 merged / 0 closed-unmerged / 1 open; merged rate **0%**, closed-unmerged rate **0%**, open rate **100%**)
5732
+ - public orgs: none visible
5733
+ - compact scores: follow-through **weak**, breadth **low**, automation risk **low**
5734
+ - heuristic read: **high open PR share; targets high-star repos**
5735
+
5736
+ Example artifacts:
5737
+ - [PR #47257: Avoid ~2x transient host memory when loading to a unified-memory device](https://github.com/huggingface/transformers/pull/47257) — open
5738
+
5739
  ### `Charansripadi`
5740
 
5741
  - profile: [github.com/Charansripadi](https://github.com/Charansripadi)
 
6835
  - repo issue search: [open search](https://github.com/huggingface/transformers/issues?q=is%3Aissue+author%3Alefft)
6836
  - repo first seen: `2026-07-10T21:40:09Z`
6837
  - repo last seen: `2026-07-10T21:40:09Z`
6838
+ - first seen in snapshot: **no**
6839
  - repo association: **FIRST_TIME_CONTRIBUTOR**
6840
  - repo primary artifacts: **1**
6841
  - snapshot authored PRs/issues: **1 PRs / 0 issues**
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691
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@@ -704,8 +704,8 @@
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707
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@@ -736,8 +736,8 @@
736
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737
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739
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@@ -992,7 +992,7 @@
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@@ -1359,155 +1359,157 @@
1359
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1360
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1361
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1362
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1363
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1364
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1370
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1371
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1372
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1374
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1375
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1376
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1377
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1378
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1379
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1380
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1381
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1386
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1388
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1394
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1395
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1397
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1398
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1399
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1400
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1401
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1403
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1405
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1406
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1413
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1414
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1416
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1418
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1419
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1420
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1421
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1426
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1431
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1432
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1433
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1434
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1435
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1436
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1437
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1438
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1439
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1440
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1441
  "src",
1442
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1444
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1445
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1446
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1453
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1454
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1455
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1456
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1457
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1458
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1459
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1460
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1461
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1462
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1464
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1465
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1466
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1470
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1471
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1472
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1473
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1474
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1475
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1476
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1477
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1478
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1479
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1480
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1481
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1482
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1483
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1484
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1485
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1486
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1490
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1491
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1492
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1493
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1494
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1495
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1496
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1497
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1498
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1499
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1500
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1501
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1502
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1503
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1504
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1505
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1507
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1508
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1509
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1510
- "src/transformers/processing_utils.py"
 
1511
  ],
1512
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1513
  "src/transformers",
@@ -1516,15 +1518,15 @@
1516
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1517
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1518
  {
1519
- "left_pr_number": 41606,
1520
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1521
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1522
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1523
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1524
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1525
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1526
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1527
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1528
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1529
  "shared_directories": [
1530
  "src/transformers",
@@ -1533,9 +1535,312 @@
1533
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1534
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1535
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1536
- "left_pr_number": 44543,
1537
- "right_pr_number": 45627,
1538
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1539
  "content_similarity": 0.208,
1540
  "size_similarity": 0.423,
1541
  "breadth_similarity": 1.0,
@@ -2496,405 +2801,611 @@
2496
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2497
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2498
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2499
- "cluster_id": "pr-scope-44974-5",
2500
  "pr_numbers": [
2501
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2502
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2503
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2504
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2505
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2506
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2507
- "representative_pr_number": 45635,
2508
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2509
- "summary": "5 open PRs share weighted file overlap around `src/transformers/core_model_loading.py`, `tests/utils/test_core_model_loading.py`, `tests/test_modeling_common.py`; representative PR #45635.",
2510
  "shared_filenames": [
2511
- "src/transformers/core_model_loading.py",
2512
- "tests/utils/test_core_model_loading.py",
2513
- "tests/test_modeling_common.py"
2514
  ],
2515
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2516
  "src/transformers",
2517
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2518
- "src",
2519
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2520
- "src/transformers/integrations"
2521
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2522
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2523
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2524
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2525
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2526
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2527
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2528
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2529
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2530
- "concentration_similarity": 0.929,
2531
  "shared_filenames": [
2532
- "src/transformers/core_model_loading.py",
2533
- "tests/utils/test_core_model_loading.py"
2534
  ],
2535
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2536
  "src/transformers",
2537
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2538
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2539
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2540
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2541
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2542
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2543
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2545
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2547
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2548
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2549
- "concentration_similarity": 0.758,
2550
  "shared_filenames": [
2551
- "src/transformers/core_model_loading.py",
2552
- "tests/utils/test_core_model_loading.py"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2553
  ],
2554
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2555
  "src/transformers",
2556
- "tests/utils",
2557
  "src",
2558
  "tests"
2559
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2560
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2561
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2562
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2564
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2565
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2566
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2567
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2569
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2570
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2571
- "tests/utils/test_core_model_loading.py"
2572
  ],
2573
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2574
- "src/transformers/integrations",
2575
  "src/transformers",
2576
- "tests/utils",
2577
- "src",
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2579
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2580
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2581
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2582
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2584
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2585
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2587
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2588
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2589
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2590
- "src/transformers/core_model_loading.py",
2591
- "tests/test_modeling_common.py"
2592
  ],
2593
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2594
  "src/transformers",
 
2595
  "src",
2596
  "tests"
2597
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2598
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2599
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2600
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2602
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2603
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2604
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2605
- "breadth_similarity": 0.667,
2606
- "concentration_similarity": 0.657,
2607
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2608
- "src/transformers/core_model_loading.py"
 
2609
  ],
2610
  "shared_directories": [
 
2611
  "src/transformers",
 
2612
  "src",
2613
  "tests"
2614
  ]
2615
  },
2616
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2617
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2618
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2623
- "concentration_similarity": 0.774,
2624
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2625
- "src/transformers/core_model_loading.py",
2626
- "tests/utils/test_core_model_loading.py"
2627
  ],
2628
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2629
  "src/transformers",
2630
- "tests/utils",
2631
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2632
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2633
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2634
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2635
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2636
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2638
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2639
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2640
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2641
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2642
- "concentration_similarity": 0.945,
2643
  "shared_filenames": [
2644
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2645
- "tests/utils/test_core_model_loading.py"
2646
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2647
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2648
  "src/transformers",
2649
- "tests/utils",
2650
  "src",
2651
  "tests"
2652
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2653
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2654
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2655
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2656
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2657
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2658
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2659
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2660
- "breadth_similarity": 0.875,
2661
- "concentration_similarity": 0.703,
2662
  "shared_filenames": [
2663
- "src/transformers/core_model_loading.py",
2664
- "tests/utils/test_core_model_loading.py"
2665
  ],
2666
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2667
  "src/transformers",
2668
- "tests/utils",
2669
  "src",
2670
  "tests"
2671
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2672
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2673
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2674
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2675
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2676
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2677
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2678
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2679
- "breadth_similarity": 0.583,
2680
- "concentration_similarity": 0.828,
2681
  "shared_filenames": [
2682
- "src/transformers/core_model_loading.py"
 
2683
  ],
2684
  "shared_directories": [
 
2685
  "src/transformers",
 
2686
  "src",
2687
  "tests"
2688
  ]
2689
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2690
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2691
- "left_pr_number": 45421,
2692
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2693
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2694
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2695
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2696
- "breadth_similarity": 0.583,
2697
- "concentration_similarity": 0.883,
2698
  "shared_filenames": [
2699
- "src/transformers/core_model_loading.py"
2700
  ],
2701
  "shared_directories": [
 
2702
  "src/transformers",
2703
- "src",
2704
- "tests"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2705
  ]
2706
  }
2707
  ]
2708
  },
2709
  {
2710
- "cluster_id": "pr-scope-44385-5",
2711
  "pr_numbers": [
2712
- 44385,
2713
- 44615,
2714
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2715
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2716
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2717
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2718
- "representative_pr_number": 44615,
2719
- "average_similarity": 0.422,
2720
- "summary": "5 open PRs share weighted file overlap around `src/transformers/utils/import_utils.py`; representative PR #44615.",
2721
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2722
- "src/transformers/utils/import_utils.py"
 
 
2723
  ],
2724
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2725
- "src/transformers/utils",
2726
  "src/transformers",
2727
- "src"
 
 
2728
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2729
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2730
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2731
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2732
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2733
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2734
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2735
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2736
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2737
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2738
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2739
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2740
  ],
2741
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2742
- "src/transformers/utils",
2743
  "src/transformers",
2744
- "src"
 
 
2745
  ]
2746
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2747
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2748
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2749
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2750
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2753
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2754
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2755
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2756
- "src/transformers/utils/import_utils.py"
 
2757
  ],
2758
  "shared_directories": [
2759
- "src/transformers/utils",
2760
  "src/transformers",
2761
- "src"
 
 
2762
  ]
2763
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2764
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2765
- "left_pr_number": 46152,
2766
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2767
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2768
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2769
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2770
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2771
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2772
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2773
- "src/transformers/utils/import_utils.py"
2774
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2775
  "shared_directories": [
2776
- "src/transformers/utils",
2777
  "src/transformers",
2778
- "src"
 
 
2779
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2780
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2781
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2782
- "left_pr_number": 44385,
2783
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2784
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2785
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2786
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2787
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2788
- "concentration_similarity": 1.0,
2789
  "shared_filenames": [
2790
- "src/transformers/utils/import_utils.py"
2791
  ],
2792
  "shared_directories": [
2793
- "src/transformers/utils",
2794
  "src/transformers",
2795
- "src"
 
 
2796
  ]
2797
  },
2798
  {
2799
- "left_pr_number": 44615,
2800
- "right_pr_number": 47222,
2801
- "similarity": 0.417,
2802
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2803
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2804
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2805
- "concentration_similarity": 0.667,
2806
- "shared_filenames": [
2807
- "src/transformers/utils/import_utils.py"
2808
- ],
2809
  "shared_directories": [
2810
- "src/transformers/utils",
2811
  "src/transformers",
2812
- "src"
 
 
2813
  ]
2814
  },
2815
  {
2816
- "left_pr_number": 44385,
2817
- "right_pr_number": 44615,
2818
- "similarity": 0.405,
2819
- "content_similarity": 0.333,
2820
- "size_similarity": 0.371,
2821
- "breadth_similarity": 0.667,
2822
- "concentration_similarity": 1.0,
2823
- "shared_filenames": [
2824
- "src/transformers/utils/import_utils.py"
2825
- ],
2826
  "shared_directories": [
2827
- "src/transformers/utils",
2828
  "src/transformers",
2829
- "src"
 
 
2830
  ]
2831
  },
2832
  {
2833
- "left_pr_number": 44385,
2834
- "right_pr_number": 46152,
2835
- "similarity": 0.39,
2836
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2837
- "size_similarity": 0.217,
2838
- "breadth_similarity": 0.667,
2839
- "concentration_similarity": 1.0,
2840
  "shared_filenames": [
2841
- "src/transformers/utils/import_utils.py"
2842
  ],
2843
  "shared_directories": [
2844
- "src/transformers/utils",
2845
  "src/transformers",
2846
- "src"
 
 
2847
  ]
2848
  },
2849
  {
2850
- "left_pr_number": 46152,
2851
- "right_pr_number": 47222,
2852
- "similarity": 0.37,
2853
- "content_similarity": 0.302,
2854
- "size_similarity": 0.5,
2855
- "breadth_similarity": 0.5,
2856
- "concentration_similarity": 0.667,
2857
  "shared_filenames": [
2858
- "src/transformers/utils/import_utils.py"
2859
  ],
2860
  "shared_directories": [
2861
- "src/transformers/utils",
2862
  "src/transformers",
2863
- "src"
 
 
2864
  ]
2865
  },
2866
  {
2867
- "left_pr_number": 46995,
2868
- "right_pr_number": 47222,
2869
- "similarity": 0.316,
2870
- "content_similarity": 0.275,
2871
- "size_similarity": 0.267,
2872
- "breadth_similarity": 0.5,
2873
- "concentration_similarity": 0.667,
2874
  "shared_filenames": [
2875
- "src/transformers/utils/import_utils.py"
2876
  ],
2877
  "shared_directories": [
2878
- "src/transformers/utils",
2879
  "src/transformers",
2880
- "src"
 
 
2881
  ]
2882
  },
2883
  {
2884
- "left_pr_number": 44385,
2885
- "right_pr_number": 47222,
2886
- "similarity": 0.307,
2887
- "content_similarity": 0.214,
2888
- "size_similarity": 0.433,
2889
- "breadth_similarity": 0.583,
2890
- "concentration_similarity": 0.667,
2891
- "shared_filenames": [
2892
- "src/transformers/utils/import_utils.py"
2893
- ],
2894
  "shared_directories": [
2895
- "src/transformers/utils",
2896
  "src/transformers",
2897
- "src"
 
 
2898
  ]
2899
  }
2900
  ]
@@ -3030,7 +3541,7 @@
3030
  {
3031
  "left_pr_number": 33686,
3032
  "right_pr_number": 46007,
3033
- "similarity": 0.337,
3034
  "content_similarity": 0.078,
3035
  "size_similarity": 0.88,
3036
  "breadth_similarity": 1.0,
@@ -3404,7 +3915,7 @@
3404
  45985
3405
  ],
3406
  "representative_pr_number": 45985,
3407
- "average_similarity": 0.506,
3408
  "summary": "4 open PRs share weighted file overlap around `src/transformers/generation/utils.py`; representative PR #45985.",
3409
  "shared_filenames": [
3410
  "src/transformers/generation/utils.py"
@@ -3418,8 +3929,8 @@
3418
  {
3419
  "left_pr_number": 34667,
3420
  "right_pr_number": 45985,
3421
- "similarity": 0.603,
3422
- "content_similarity": 0.49,
3423
  "size_similarity": 0.733,
3424
  "breadth_similarity": 1.0,
3425
  "concentration_similarity": 1.0,
@@ -3435,8 +3946,8 @@
3435
  {
3436
  "left_pr_number": 39683,
3437
  "right_pr_number": 45985,
3438
- "similarity": 0.597,
3439
- "content_similarity": 0.498,
3440
  "size_similarity": 0.652,
3441
  "breadth_similarity": 1.0,
3442
  "concentration_similarity": 1.0,
@@ -3452,8 +3963,8 @@
3452
  {
3453
  "left_pr_number": 34667,
3454
  "right_pr_number": 39683,
3455
- "similarity": 0.536,
3456
- "content_similarity": 0.449,
3457
  "size_similarity": 0.478,
3458
  "breadth_similarity": 1.0,
3459
  "concentration_similarity": 1.0,
@@ -3469,8 +3980,8 @@
3469
  {
3470
  "left_pr_number": 44872,
3471
  "right_pr_number": 45985,
3472
- "similarity": 0.45,
3473
- "content_similarity": 0.386,
3474
  "size_similarity": 0.2,
3475
  "breadth_similarity": 1.0,
3476
  "concentration_similarity": 1.0,
@@ -3486,8 +3997,8 @@
3486
  {
3487
  "left_pr_number": 34667,
3488
  "right_pr_number": 44872,
3489
- "similarity": 0.434,
3490
- "content_similarity": 0.348,
3491
  "size_similarity": 0.273,
3492
  "breadth_similarity": 1.0,
3493
  "concentration_similarity": 1.0,
@@ -3503,8 +4014,8 @@
3503
  {
3504
  "left_pr_number": 39683,
3505
  "right_pr_number": 44872,
3506
- "similarity": 0.417,
3507
- "content_similarity": 0.354,
3508
  "size_similarity": 0.13,
3509
  "breadth_similarity": 1.0,
3510
  "concentration_similarity": 1.0,
@@ -4176,7 +4687,7 @@
4176
  {
4177
  "left_pr_number": 45570,
4178
  "right_pr_number": 47150,
4179
- "similarity": 0.38,
4180
  "content_similarity": 0.301,
4181
  "size_similarity": 0.125,
4182
  "breadth_similarity": 1.0,
@@ -4483,7 +4994,7 @@
4483
  {
4484
  "left_pr_number": 44114,
4485
  "right_pr_number": 45720,
4486
- "similarity": 0.508,
4487
  "content_similarity": 0.432,
4488
  "size_similarity": 0.549,
4489
  "breadth_similarity": 0.727,
@@ -4539,243 +5050,83 @@
4539
  "src/transformers/models/sew",
4540
  "src/transformers/models/sew_d",
4541
  "src/transformers/models/unispeech",
4542
- "src/transformers/models/unispeech_sat",
4543
- "src/transformers/models/wav2vec2",
4544
- "src/transformers/models/wav2vec2_bert",
4545
- "src/transformers/models/wav2vec2_conformer",
4546
- "src/transformers/models/wavlm"
4547
- ]
4548
- }
4549
- ]
4550
- },
4551
- {
4552
- "cluster_id": "pr-scope-43656-3",
4553
- "pr_numbers": [
4554
- 43656,
4555
- 43842,
4556
- 44682
4557
- ],
4558
- "representative_pr_number": 43656,
4559
- "average_similarity": 0.476,
4560
- "summary": "3 open PRs share weighted file overlap around `src/transformers/cli/serve.py`; representative PR #43656.",
4561
- "shared_filenames": [
4562
- "src/transformers/cli/serve.py"
4563
- ],
4564
- "shared_directories": [
4565
- "src/transformers/cli",
4566
- "src/transformers",
4567
- "src"
4568
- ],
4569
- "pairwise": [
4570
- {
4571
- "left_pr_number": 43656,
4572
- "right_pr_number": 43842,
4573
- "similarity": 0.58,
4574
- "content_similarity": 0.566,
4575
- "size_similarity": 0.222,
4576
- "breadth_similarity": 1.0,
4577
- "concentration_similarity": 1.0,
4578
- "shared_filenames": [
4579
- "src/transformers/cli/serve.py"
4580
- ],
4581
- "shared_directories": [
4582
- "src/transformers/cli",
4583
- "src/transformers",
4584
- "src"
4585
- ]
4586
- },
4587
- {
4588
- "left_pr_number": 43656,
4589
- "right_pr_number": 44682,
4590
- "similarity": 0.441,
4591
- "content_similarity": 0.49,
4592
- "size_similarity": 0.048,
4593
- "breadth_similarity": 0.5,
4594
- "concentration_similarity": 0.802,
4595
- "shared_filenames": [
4596
- "src/transformers/cli/serve.py"
4597
- ],
4598
- "shared_directories": [
4599
- "src/transformers/cli",
4600
- "src/transformers",
4601
- "src"
4602
- ]
4603
- },
4604
- {
4605
- "left_pr_number": 43842,
4606
- "right_pr_number": 44682,
4607
- "similarity": 0.406,
4608
- "content_similarity": 0.45,
4609
- "size_similarity": 0.011,
4610
- "breadth_similarity": 0.5,
4611
- "concentration_similarity": 0.802,
4612
- "shared_filenames": [
4613
- "src/transformers/cli/serve.py"
4614
- ],
4615
- "shared_directories": [
4616
- "src/transformers/cli",
4617
- "src/transformers",
4618
- "src"
4619
- ]
4620
- }
4621
- ]
4622
- },
4623
- {
4624
- "cluster_id": "pr-scope-34925-3",
4625
- "pr_numbers": [
4626
- 34925,
4627
- 45917,
4628
- 46734
4629
- ],
4630
- "representative_pr_number": 34925,
4631
- "average_similarity": 0.47,
4632
- "summary": "3 open PRs share weighted file overlap around `tests/trainer/test_trainer.py`, `src/transformers/trainer.py`; representative PR #34925.",
4633
- "shared_filenames": [
4634
- "tests/trainer/test_trainer.py",
4635
- "src/transformers/trainer.py"
4636
- ],
4637
- "shared_directories": [
4638
- "tests/trainer",
4639
- "src/transformers",
4640
- "tests",
4641
- "src"
4642
- ],
4643
- "pairwise": [
4644
- {
4645
- "left_pr_number": 34925,
4646
- "right_pr_number": 45917,
4647
- "similarity": 0.498,
4648
- "content_similarity": 0.43,
4649
- "size_similarity": 0.39,
4650
- "breadth_similarity": 1.0,
4651
- "concentration_similarity": 0.78,
4652
- "shared_filenames": [
4653
- "tests/trainer/test_trainer.py"
4654
- ],
4655
- "shared_directories": [
4656
- "src/transformers",
4657
- "tests/trainer",
4658
- "src",
4659
- "tests"
4660
- ]
4661
- },
4662
- {
4663
- "left_pr_number": 34925,
4664
- "right_pr_number": 46734,
4665
- "similarity": 0.466,
4666
- "content_similarity": 0.45,
4667
- "size_similarity": 0.158,
4668
- "breadth_similarity": 0.833,
4669
- "concentration_similarity": 0.89,
4670
- "shared_filenames": [
4671
- "src/transformers/trainer.py",
4672
- "tests/trainer/test_trainer.py"
4673
- ],
4674
- "shared_directories": [
4675
- "src/transformers",
4676
- "tests/trainer",
4677
- "src",
4678
- "tests"
4679
- ]
4680
- },
4681
- {
4682
- "left_pr_number": 45917,
4683
- "right_pr_number": 46734,
4684
- "similarity": 0.446,
4685
- "content_similarity": 0.384,
4686
- "size_similarity": 0.404,
4687
- "breadth_similarity": 0.833,
4688
- "concentration_similarity": 0.67,
4689
- "shared_filenames": [
4690
- "tests/trainer/test_trainer.py"
4691
- ],
4692
- "shared_directories": [
4693
- "src/transformers",
4694
- "tests/trainer",
4695
- "src",
4696
- "tests"
4697
  ]
4698
  }
4699
  ]
4700
  },
4701
  {
4702
- "cluster_id": "pr-scope-46124-3",
4703
  "pr_numbers": [
4704
- 46124,
4705
- 46735,
4706
- 47153
4707
  ],
4708
- "representative_pr_number": 47153,
4709
- "average_similarity": 0.468,
4710
- "summary": "3 open PRs share weighted file overlap around `tests/generation/test_utils.py`, `src/transformers/generation/utils.py`; representative PR #47153.",
4711
  "shared_filenames": [
4712
- "tests/generation/test_utils.py",
4713
- "src/transformers/generation/utils.py"
4714
  ],
4715
  "shared_directories": [
4716
- "src/transformers/generation",
4717
- "tests/generation",
4718
  "src/transformers",
4719
- "tests",
4720
  "src"
4721
  ],
4722
  "pairwise": [
4723
  {
4724
- "left_pr_number": 46735,
4725
- "right_pr_number": 47153,
4726
- "similarity": 0.607,
4727
- "content_similarity": 0.506,
4728
- "size_similarity": 0.717,
4729
  "breadth_similarity": 1.0,
4730
- "concentration_similarity": 0.899,
4731
  "shared_filenames": [
4732
- "src/transformers/generation/utils.py",
4733
- "tests/generation/test_utils.py"
4734
  ],
4735
  "shared_directories": [
4736
- "src/transformers/generation",
4737
  "src/transformers",
4738
- "tests/generation",
4739
- "src",
4740
- "tests"
4741
  ]
4742
  },
4743
  {
4744
- "left_pr_number": 46124,
4745
- "right_pr_number": 47153,
4746
- "similarity": 0.415,
4747
- "content_similarity": 0.24,
4748
- "size_similarity": 0.651,
4749
- "breadth_similarity": 1.0,
4750
- "concentration_similarity": 0.983,
4751
  "shared_filenames": [
4752
- "tests/generation/test_utils.py"
4753
  ],
4754
  "shared_directories": [
4755
- "src/transformers/generation",
4756
  "src/transformers",
4757
- "tests/generation",
4758
- "src",
4759
- "tests"
4760
  ]
4761
  },
4762
  {
4763
- "left_pr_number": 46124,
4764
- "right_pr_number": 46735,
4765
- "similarity": 0.384,
4766
- "content_similarity": 0.24,
4767
- "size_similarity": 0.467,
4768
- "breadth_similarity": 1.0,
4769
- "concentration_similarity": 0.917,
4770
  "shared_filenames": [
4771
- "tests/generation/test_utils.py"
4772
  ],
4773
  "shared_directories": [
4774
- "src/transformers/generation",
4775
  "src/transformers",
4776
- "tests/generation",
4777
- "src",
4778
- "tests"
4779
  ]
4780
  }
4781
  ]
@@ -5289,86 +5640,6 @@
5289
  }
5290
  ]
5291
  },
5292
- {
5293
- "cluster_id": "pr-scope-44889-3",
5294
- "pr_numbers": [
5295
- 44889,
5296
- 44981,
5297
- 46775
5298
- ],
5299
- "representative_pr_number": 44889,
5300
- "average_similarity": 0.386,
5301
- "summary": "3 open PRs share weighted file overlap around `src/transformers/trainer.py`, `tests/trainer/distributed/test_trainer_distributed_deepspeed.py`; representative PR #44889.",
5302
- "shared_filenames": [
5303
- "src/transformers/trainer.py",
5304
- "tests/trainer/distributed/test_trainer_distributed_deepspeed.py"
5305
- ],
5306
- "shared_directories": [
5307
- "tests/trainer",
5308
- "src/transformers",
5309
- "tests",
5310
- "src",
5311
- "tests/trainer/distributed"
5312
- ],
5313
- "pairwise": [
5314
- {
5315
- "left_pr_number": 44889,
5316
- "right_pr_number": 46775,
5317
- "similarity": 0.455,
5318
- "content_similarity": 0.333,
5319
- "size_similarity": 0.877,
5320
- "breadth_similarity": 0.458,
5321
- "concentration_similarity": 0.9,
5322
- "shared_filenames": [
5323
- "src/transformers/trainer.py",
5324
- "tests/trainer/distributed/test_trainer_distributed_deepspeed.py"
5325
- ],
5326
- "shared_directories": [
5327
- "tests/trainer/distributed",
5328
- "src/transformers",
5329
- "tests/trainer",
5330
- "src",
5331
- "tests"
5332
- ]
5333
- },
5334
- {
5335
- "left_pr_number": 44889,
5336
- "right_pr_number": 44981,
5337
- "similarity": 0.398,
5338
- "content_similarity": 0.156,
5339
- "size_similarity": 0.991,
5340
- "breadth_similarity": 1.0,
5341
- "concentration_similarity": 0.812,
5342
- "shared_filenames": [
5343
- "src/transformers/trainer.py"
5344
- ],
5345
- "shared_directories": [
5346
- "src/transformers",
5347
- "tests/trainer",
5348
- "src",
5349
- "tests"
5350
- ]
5351
- },
5352
- {
5353
- "left_pr_number": 44981,
5354
- "right_pr_number": 46775,
5355
- "similarity": 0.304,
5356
- "content_similarity": 0.128,
5357
- "size_similarity": 0.885,
5358
- "breadth_similarity": 0.458,
5359
- "concentration_similarity": 0.712,
5360
- "shared_filenames": [
5361
- "src/transformers/trainer.py"
5362
- ],
5363
- "shared_directories": [
5364
- "src/transformers",
5365
- "tests/trainer",
5366
- "src",
5367
- "tests"
5368
- ]
5369
- }
5370
- ]
5371
- },
5372
  {
5373
  "cluster_id": "pr-scope-46319-3",
5374
  "pr_numbers": [
@@ -5390,7 +5661,7 @@
5390
  "left_pr_number": 46319,
5391
  "right_pr_number": 47212,
5392
  "similarity": 0.362,
5393
- "content_similarity": 0.095,
5394
  "size_similarity": 0.974,
5395
  "breadth_similarity": 1.0,
5396
  "concentration_similarity": 1.0,
@@ -6873,7 +7144,7 @@
6873
  46126
6874
  ],
6875
  "representative_pr_number": 46113,
6876
- "average_similarity": 0.462,
6877
  "summary": "2 open PRs share weighted file overlap around `src/transformers/distributed/utils.py`; representative PR #46113.",
6878
  "shared_filenames": [
6879
  "src/transformers/distributed/utils.py"
@@ -6887,8 +7158,8 @@
6887
  {
6888
  "left_pr_number": 46113,
6889
  "right_pr_number": 46126,
6890
- "similarity": 0.462,
6891
- "content_similarity": 0.511,
6892
  "size_similarity": 0.302,
6893
  "breadth_similarity": 0.292,
6894
  "concentration_similarity": 0.603,
@@ -6903,45 +7174,6 @@
6903
  }
6904
  ]
6905
  },
6906
- {
6907
- "cluster_id": "pr-scope-32189-2",
6908
- "pr_numbers": [
6909
- 32189,
6910
- 42655
6911
- ],
6912
- "representative_pr_number": 32189,
6913
- "average_similarity": 0.454,
6914
- "summary": "2 open PRs share weighted file overlap around `src/transformers/generation/candidate_generator.py`, `src/transformers/generation/utils.py`; representative PR #32189.",
6915
- "shared_filenames": [
6916
- "src/transformers/generation/candidate_generator.py",
6917
- "src/transformers/generation/utils.py"
6918
- ],
6919
- "shared_directories": [
6920
- "src/transformers/generation",
6921
- "src/transformers",
6922
- "src"
6923
- ],
6924
- "pairwise": [
6925
- {
6926
- "left_pr_number": 32189,
6927
- "right_pr_number": 42655,
6928
- "similarity": 0.454,
6929
- "content_similarity": 0.487,
6930
- "size_similarity": 0.231,
6931
- "breadth_similarity": 0.5,
6932
- "concentration_similarity": 0.568,
6933
- "shared_filenames": [
6934
- "src/transformers/generation/candidate_generator.py",
6935
- "src/transformers/generation/utils.py"
6936
- ],
6937
- "shared_directories": [
6938
- "src/transformers/generation",
6939
- "src/transformers",
6940
- "src"
6941
- ]
6942
- }
6943
- ]
6944
- },
6945
  {
6946
  "cluster_id": "pr-scope-41356-2",
6947
  "pr_numbers": [
@@ -7117,46 +7349,36 @@
7117
  ]
7118
  },
7119
  {
7120
- "cluster_id": "pr-scope-42112-2",
7121
  "pr_numbers": [
7122
- 42112,
7123
- 46643
7124
  ],
7125
- "representative_pr_number": 42112,
7126
  "average_similarity": 0.427,
7127
- "summary": "2 open PRs share weighted file overlap around `src/transformers/generation/logits_process.py`, `tests/generation/test_logits_process.py`, `src/transformers/generation/utils.py`; representative PR #42112.",
7128
  "shared_filenames": [
7129
- "src/transformers/generation/logits_process.py",
7130
- "tests/generation/test_logits_process.py",
7131
- "src/transformers/generation/utils.py"
7132
  ],
7133
  "shared_directories": [
7134
- "src/transformers/generation",
7135
- "tests/generation",
7136
- "src/transformers",
7137
- "tests",
7138
- "src"
7139
  ],
7140
  "pairwise": [
7141
  {
7142
- "left_pr_number": 42112,
7143
- "right_pr_number": 46643,
7144
  "similarity": 0.427,
7145
- "content_similarity": 0.47,
7146
- "size_similarity": 0.029,
7147
- "breadth_similarity": 0.521,
7148
- "concentration_similarity": 0.841,
7149
  "shared_filenames": [
7150
- "src/transformers/generation/logits_process.py",
7151
- "src/transformers/generation/utils.py",
7152
- "tests/generation/test_logits_process.py"
7153
  ],
7154
  "shared_directories": [
7155
- "src/transformers/generation",
7156
- "src/transformers",
7157
- "tests/generation",
7158
- "src",
7159
- "tests"
7160
  ]
7161
  }
7162
  ]
@@ -7168,7 +7390,7 @@
7168
  47253
7169
  ],
7170
  "representative_pr_number": 45662,
7171
- "average_similarity": 0.427,
7172
  "summary": "2 open PRs share weighted file overlap around `src/transformers/integrations/tensor_parallel.py`, `src/transformers/modeling_utils.py`; representative PR #45662.",
7173
  "shared_filenames": [
7174
  "src/transformers/integrations/tensor_parallel.py",
@@ -7183,7 +7405,7 @@
7183
  {
7184
  "left_pr_number": 45662,
7185
  "right_pr_number": 47253,
7186
- "similarity": 0.427,
7187
  "content_similarity": 0.287,
7188
  "size_similarity": 0.855,
7189
  "breadth_similarity": 0.65,
@@ -7200,41 +7422,6 @@
7200
  }
7201
  ]
7202
  },
7203
- {
7204
- "cluster_id": "pr-scope-46887-2",
7205
- "pr_numbers": [
7206
- 46887,
7207
- 47202
7208
- ],
7209
- "representative_pr_number": 46887,
7210
- "average_similarity": 0.427,
7211
- "summary": "2 open PRs share weighted file overlap around `.github/workflows/build-ci-docker-images.yml`; representative PR #46887.",
7212
- "shared_filenames": [
7213
- ".github/workflows/build-ci-docker-images.yml"
7214
- ],
7215
- "shared_directories": [
7216
- ".github/workflows",
7217
- ".github"
7218
- ],
7219
- "pairwise": [
7220
- {
7221
- "left_pr_number": 46887,
7222
- "right_pr_number": 47202,
7223
- "similarity": 0.427,
7224
- "content_similarity": 0.424,
7225
- "size_similarity": 0.441,
7226
- "breadth_similarity": 0.321,
7227
- "concentration_similarity": 0.633,
7228
- "shared_filenames": [
7229
- ".github/workflows/build-ci-docker-images.yml"
7230
- ],
7231
- "shared_directories": [
7232
- ".github/workflows",
7233
- ".github"
7234
- ]
7235
- }
7236
- ]
7237
- },
7238
  {
7239
  "cluster_id": "pr-scope-43446-2",
7240
  "pr_numbers": [
 
1
  {
2
  "repo": "huggingface/transformers",
3
+ "snapshot_id": "20260711T060022Z",
4
+ "generated_at": "2026-07-11T06:00:48Z",
5
+ "cluster_count": 80,
6
  "pr_scope_clusters": [
7
  {
8
  "cluster_id": "pr-scope-43636-10",
 
19
  45273
20
  ],
21
  "representative_pr_number": 45067,
22
+ "average_similarity": 0.426,
23
  "summary": "10 open PRs share weighted file overlap around `src/transformers/trainer.py`; representative PR #45067.",
24
  "shared_filenames": [
25
  "src/transformers/trainer.py"
 
33
  "left_pr_number": 44189,
34
  "right_pr_number": 45067,
35
  "similarity": 0.778,
36
+ "content_similarity": 0.863,
37
  "size_similarity": 0.16,
38
  "breadth_similarity": 1.0,
39
  "concentration_similarity": 1.0,
 
48
  {
49
  "left_pr_number": 43663,
50
  "right_pr_number": 45067,
51
+ "similarity": 0.635,
52
+ "content_similarity": 0.478,
53
  "size_similarity": 1.0,
54
  "breadth_similarity": 1.0,
55
  "concentration_similarity": 1.0,
 
64
  {
65
  "left_pr_number": 43651,
66
  "right_pr_number": 43663,
67
+ "similarity": 0.549,
68
+ "content_similarity": 0.415,
69
  "size_similarity": 0.72,
70
  "breadth_similarity": 1.0,
71
  "concentration_similarity": 1.0,
 
80
  {
81
  "left_pr_number": 43651,
82
  "right_pr_number": 45067,
83
+ "similarity": 0.523,
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+ "content_similarity": 0.378,
85
  "size_similarity": 0.72,
86
  "breadth_similarity": 1.0,
87
  "concentration_similarity": 1.0,
 
96
  {
97
  "left_pr_number": 43663,
98
  "right_pr_number": 44123,
99
+ "similarity": 0.507,
100
+ "content_similarity": 0.412,
101
  "size_similarity": 0.455,
102
  "breadth_similarity": 1.0,
103
  "concentration_similarity": 1.0,
 
112
  {
113
  "left_pr_number": 44257,
114
  "right_pr_number": 44660,
115
+ "similarity": 0.489,
116
+ "content_similarity": 0.27,
117
  "size_similarity": 1.0,
118
  "breadth_similarity": 1.0,
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128
  {
129
  "left_pr_number": 44123,
130
  "right_pr_number": 45067,
131
+ "similarity": 0.481,
132
+ "content_similarity": 0.376,
133
  "size_similarity": 0.455,
134
  "breadth_similarity": 1.0,
135
  "concentration_similarity": 1.0,
 
144
  {
145
  "left_pr_number": 43636,
146
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147
+ "similarity": 0.471,
148
+ "content_similarity": 0.364,
149
  "size_similarity": 0.44,
150
  "breadth_similarity": 1.0,
151
  "concentration_similarity": 1.0,
 
160
  {
161
  "left_pr_number": 43663,
162
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163
+ "similarity": 0.471,
164
+ "content_similarity": 0.406,
165
  "size_similarity": 0.24,
166
  "breadth_similarity": 1.0,
167
  "concentration_similarity": 1.0,
 
176
  {
177
  "left_pr_number": 44189,
178
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179
+ "similarity": 0.469,
180
+ "content_similarity": 0.312,
181
  "size_similarity": 0.667,
182
  "breadth_similarity": 1.0,
183
  "concentration_similarity": 1.0,
 
192
  {
193
  "left_pr_number": 43663,
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  "right_pr_number": 44189,
195
+ "similarity": 0.456,
196
+ "content_similarity": 0.403,
197
  "size_similarity": 0.16,
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  "breadth_similarity": 1.0,
199
  "concentration_similarity": 1.0,
 
208
  {
209
  "left_pr_number": 44189,
210
  "right_pr_number": 45055,
211
+ "similarity": 0.452,
212
+ "content_similarity": 0.27,
213
  "size_similarity": 0.75,
214
  "breadth_similarity": 1.0,
215
  "concentration_similarity": 1.0,
 
224
  {
225
  "left_pr_number": 43636,
226
  "right_pr_number": 45067,
227
+ "similarity": 0.448,
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+ "content_similarity": 0.331,
229
  "size_similarity": 0.44,
230
  "breadth_similarity": 1.0,
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  "concentration_similarity": 1.0,
 
240
  {
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  "left_pr_number": 44660,
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  "right_pr_number": 45067,
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+ "similarity": 0.445,
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+ "content_similarity": 0.37,
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  "size_similarity": 0.24,
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  "breadth_similarity": 1.0,
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  "concentration_similarity": 1.0,
 
256
  {
257
  "left_pr_number": 43636,
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  "right_pr_number": 43651,
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+ "similarity": 0.443,
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+ "content_similarity": 0.288,
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  "size_similarity": 0.611,
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  "breadth_similarity": 1.0,
263
  "concentration_similarity": 1.0,
 
272
  {
273
  "left_pr_number": 44189,
274
  "right_pr_number": 44257,
275
+ "similarity": 0.437,
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+ "content_similarity": 0.268,
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  "size_similarity": 0.667,
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  "breadth_similarity": 1.0,
279
  "concentration_similarity": 1.0,
 
288
  {
289
  "left_pr_number": 43663,
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291
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292
+ "content_similarity": 0.349,
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  "size_similarity": 0.24,
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  "breadth_similarity": 1.0,
295
  "concentration_similarity": 1.0,
 
304
  {
305
  "left_pr_number": 43636,
306
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307
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+ "content_similarity": 0.282,
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  "size_similarity": 0.545,
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  "breadth_similarity": 1.0,
311
  "concentration_similarity": 1.0,
 
320
  {
321
  "left_pr_number": 43651,
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323
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+ "content_similarity": 0.326,
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336
  {
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  "left_pr_number": 43651,
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+ "content_similarity": 0.322,
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  "breadth_similarity": 1.0,
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  "concentration_similarity": 1.0,
 
352
  {
353
  "left_pr_number": 44660,
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355
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+ "content_similarity": 0.273,
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  "breadth_similarity": 1.0,
359
  "concentration_similarity": 1.0,
 
368
  {
369
  "left_pr_number": 43663,
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371
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+ "content_similarity": 0.352,
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384
  {
385
  "left_pr_number": 44257,
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387
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+ "content_similarity": 0.318,
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391
  "concentration_similarity": 1.0,
 
400
  {
401
  "left_pr_number": 43651,
402
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403
+ "similarity": 0.407,
404
+ "content_similarity": 0.319,
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  "size_similarity": 0.222,
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  "breadth_similarity": 1.0,
407
  "concentration_similarity": 1.0,
 
416
  {
417
  "left_pr_number": 43636,
418
  "right_pr_number": 44257,
419
+ "similarity": 0.401,
420
+ "content_similarity": 0.242,
421
  "size_similarity": 0.545,
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  "breadth_similarity": 1.0,
423
  "concentration_similarity": 1.0,
 
432
  {
433
  "left_pr_number": 43636,
434
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435
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436
+ "content_similarity": 0.279,
437
  "size_similarity": 0.364,
438
  "breadth_similarity": 1.0,
439
  "concentration_similarity": 1.0,
 
448
  {
449
  "left_pr_number": 43651,
450
  "right_pr_number": 44257,
451
+ "similarity": 0.393,
452
+ "content_similarity": 0.276,
453
  "size_similarity": 0.333,
454
  "breadth_similarity": 1.0,
455
  "concentration_similarity": 1.0,
 
464
  {
465
  "left_pr_number": 45055,
466
  "right_pr_number": 45067,
467
+ "similarity": 0.392,
468
+ "content_similarity": 0.321,
469
  "size_similarity": 0.12,
470
  "breadth_similarity": 1.0,
471
  "concentration_similarity": 1.0,
 
480
  {
481
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+ "content_similarity": 0.203,
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  "size_similarity": 0.667,
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  "breadth_similarity": 1.0,
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  "concentration_similarity": 1.0,
 
496
  {
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+ "content_similarity": 0.32,
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503
  "concentration_similarity": 1.0,
 
512
  {
513
  "left_pr_number": 44257,
514
  "right_pr_number": 45055,
515
+ "similarity": 0.389,
516
+ "content_similarity": 0.234,
517
  "size_similarity": 0.5,
518
  "breadth_similarity": 1.0,
519
  "concentration_similarity": 1.0,
 
528
  {
529
  "left_pr_number": 44189,
530
  "right_pr_number": 45273,
531
+ "similarity": 0.387,
532
+ "content_similarity": 0.232,
533
  "size_similarity": 0.5,
534
  "breadth_similarity": 1.0,
535
  "concentration_similarity": 1.0,
 
544
  {
545
  "left_pr_number": 44123,
546
  "right_pr_number": 44189,
547
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+ "content_similarity": 0.317,
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  "size_similarity": 0.073,
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  "breadth_similarity": 1.0,
551
  "concentration_similarity": 1.0,
 
560
  {
561
  "left_pr_number": 43636,
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563
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564
+ "content_similarity": 0.286,
565
  "size_similarity": 0.2,
566
  "breadth_similarity": 1.0,
567
  "concentration_similarity": 1.0,
 
576
  {
577
  "left_pr_number": 43663,
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579
+ "similarity": 0.374,
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+ "content_similarity": 0.302,
581
  "size_similarity": 0.08,
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  "breadth_similarity": 1.0,
583
  "concentration_similarity": 1.0,
 
592
  {
593
  "left_pr_number": 43651,
594
  "right_pr_number": 45055,
595
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596
+ "content_similarity": 0.279,
597
  "size_similarity": 0.167,
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  "breadth_similarity": 1.0,
599
  "concentration_similarity": 1.0,
 
608
  {
609
  "left_pr_number": 44660,
610
  "right_pr_number": 45273,
611
+ "similarity": 0.364,
612
+ "content_similarity": 0.234,
613
  "size_similarity": 0.333,
614
  "breadth_similarity": 1.0,
615
  "concentration_similarity": 1.0,
 
624
  {
625
  "left_pr_number": 43636,
626
  "right_pr_number": 45055,
627
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628
+ "content_similarity": 0.244,
629
  "size_similarity": 0.273,
630
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631
  "concentration_similarity": 1.0,
 
640
  {
641
  "left_pr_number": 44123,
642
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643
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+ "content_similarity": 0.274,
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647
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656
  {
657
  "left_pr_number": 45067,
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659
+ "similarity": 0.355,
660
+ "content_similarity": 0.275,
661
  "size_similarity": 0.08,
662
  "breadth_similarity": 1.0,
663
  "concentration_similarity": 1.0,
 
672
  {
673
  "left_pr_number": 44123,
674
  "right_pr_number": 45055,
675
+ "similarity": 0.352,
676
+ "content_similarity": 0.277,
677
  "size_similarity": 0.055,
678
  "breadth_similarity": 1.0,
679
  "concentration_similarity": 1.0,
 
688
  {
689
  "left_pr_number": 44257,
690
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691
+ "similarity": 0.341,
692
+ "content_similarity": 0.201,
693
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694
  "breadth_similarity": 1.0,
695
  "concentration_similarity": 1.0,
 
704
  {
705
  "left_pr_number": 43651,
706
  "right_pr_number": 45273,
707
+ "similarity": 0.334,
708
+ "content_similarity": 0.239,
709
  "size_similarity": 0.111,
710
  "breadth_similarity": 1.0,
711
  "concentration_similarity": 1.0,
 
720
  {
721
  "left_pr_number": 43636,
722
  "right_pr_number": 45273,
723
+ "similarity": 0.324,
724
+ "content_similarity": 0.209,
725
  "size_similarity": 0.182,
726
  "breadth_similarity": 1.0,
727
  "concentration_similarity": 1.0,
 
736
  {
737
  "left_pr_number": 44123,
738
  "right_pr_number": 45273,
739
+ "similarity": 0.322,
740
+ "content_similarity": 0.238,
741
  "size_similarity": 0.036,
742
  "breadth_similarity": 1.0,
743
  "concentration_similarity": 1.0,
 
992
  "left_pr_number": 46504,
993
  "right_pr_number": 46554,
994
  "similarity": 0.264,
995
+ "content_similarity": 0.138,
996
  "size_similarity": 0.111,
997
  "breadth_similarity": 1.0,
998
  "concentration_similarity": 1.0,
 
1359
  ]
1360
  },
1361
  {
1362
+ "cluster_id": "pr-scope-44974-6",
1363
  "pr_numbers": [
1364
+ 44974,
1365
+ 45421,
1366
+ 45635,
1367
+ 45996,
1368
+ 46717,
1369
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1370
  ],
1371
+ "representative_pr_number": 45635,
1372
+ "average_similarity": 0.451,
1373
+ "summary": "6 open PRs share weighted file overlap around `src/transformers/core_model_loading.py`, `tests/utils/test_core_model_loading.py`, `tests/test_modeling_common.py`; representative PR #45635.",
1374
  "shared_filenames": [
1375
+ "src/transformers/core_model_loading.py",
1376
+ "tests/utils/test_core_model_loading.py",
1377
+ "tests/test_modeling_common.py"
1378
  ],
1379
  "shared_directories": [
1380
  "src/transformers",
1381
  "tests",
1382
  "src",
1383
+ "tests/utils",
1384
+ "src/transformers/integrations"
1385
  ],
1386
  "pairwise": [
1387
  {
1388
+ "left_pr_number": 44974,
1389
+ "right_pr_number": 45635,
1390
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1391
+ "content_similarity": 0.716,
1392
+ "size_similarity": 0.59,
1393
+ "breadth_similarity": 0.8,
1394
+ "concentration_similarity": 0.929,
1395
  "shared_filenames": [
1396
+ "src/transformers/core_model_loading.py",
1397
+ "tests/utils/test_core_model_loading.py"
1398
  ],
1399
  "shared_directories": [
1400
  "src/transformers",
1401
+ "tests/utils",
1402
  "src",
1403
  "tests"
1404
  ]
1405
  },
1406
  {
1407
+ "left_pr_number": 45635,
1408
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1409
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1410
+ "content_similarity": 0.594,
1411
+ "size_similarity": 0.714,
1412
+ "breadth_similarity": 0.875,
1413
+ "concentration_similarity": 0.758,
1414
  "shared_filenames": [
1415
+ "src/transformers/core_model_loading.py",
1416
+ "tests/utils/test_core_model_loading.py"
1417
  ],
1418
  "shared_directories": [
 
1419
  "src/transformers",
1420
+ "tests/utils",
1421
  "src",
1422
  "tests"
1423
  ]
1424
  },
1425
  {
1426
+ "left_pr_number": 44974,
1427
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1428
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1429
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1430
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1431
+ "breadth_similarity": 0.9,
1432
+ "concentration_similarity": 0.829,
1433
  "shared_filenames": [
1434
+ "src/transformers/core_model_loading.py",
1435
+ "tests/utils/test_core_model_loading.py"
1436
  ],
1437
  "shared_directories": [
1438
+ "src/transformers/integrations",
1439
  "src/transformers",
1440
+ "tests/utils",
1441
  "src",
1442
  "tests"
1443
  ]
1444
  },
1445
  {
1446
+ "left_pr_number": 45996,
1447
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1448
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1449
+ "content_similarity": 0.578,
1450
+ "size_similarity": 0.419,
1451
+ "breadth_similarity": 0.583,
1452
+ "concentration_similarity": 0.972,
1453
  "shared_filenames": [
1454
+ "src/transformers/core_model_loading.py",
1455
+ "tests/utils/test_core_model_loading.py"
1456
  ],
1457
  "shared_directories": [
 
1458
  "src/transformers",
1459
+ "tests/utils",
1460
  "src",
1461
  "tests"
1462
  ]
1463
  },
1464
  {
1465
+ "left_pr_number": 45635,
1466
+ "right_pr_number": 47257,
1467
+ "similarity": 0.541,
1468
+ "content_similarity": 0.562,
1469
+ "size_similarity": 0.299,
1470
+ "breadth_similarity": 0.667,
1471
+ "concentration_similarity": 0.73,
1472
  "shared_filenames": [
1473
+ "src/transformers/core_model_loading.py",
1474
+ "tests/utils/test_core_model_loading.py"
1475
  ],
1476
  "shared_directories": [
1477
  "src/transformers",
1478
+ "tests/utils",
1479
  "src",
1480
  "tests"
1481
  ]
1482
  },
1483
  {
1484
+ "left_pr_number": 44974,
1485
+ "right_pr_number": 47257,
1486
+ "similarity": 0.505,
1487
+ "content_similarity": 0.55,
1488
+ "size_similarity": 0.176,
1489
+ "breadth_similarity": 0.533,
1490
+ "concentration_similarity": 0.801,
1491
  "shared_filenames": [
1492
+ "src/transformers/core_model_loading.py",
1493
+ "tests/utils/test_core_model_loading.py"
1494
  ],
1495
  "shared_directories": [
1496
  "src/transformers",
1497
+ "tests/utils",
1498
  "src",
1499
  "tests"
1500
  ]
1501
  },
1502
  {
1503
+ "left_pr_number": 45421,
1504
+ "right_pr_number": 45635,
1505
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1506
+ "content_similarity": 0.375,
1507
+ "size_similarity": 0.803,
1508
+ "breadth_similarity": 0.5,
1509
+ "concentration_similarity": 0.586,
1510
  "shared_filenames": [
1511
+ "src/transformers/core_model_loading.py",
1512
+ "tests/test_modeling_common.py"
1513
  ],
1514
  "shared_directories": [
1515
  "src/transformers",
 
1518
  ]
1519
  },
1520
  {
1521
+ "left_pr_number": 44974,
1522
+ "right_pr_number": 45421,
1523
+ "similarity": 0.419,
1524
+ "content_similarity": 0.299,
1525
+ "size_similarity": 0.735,
1526
+ "breadth_similarity": 0.667,
1527
+ "concentration_similarity": 0.657,
1528
  "shared_filenames": [
1529
+ "src/transformers/core_model_loading.py"
1530
  ],
1531
  "shared_directories": [
1532
  "src/transformers",
 
1535
  ]
1536
  },
1537
  {
1538
+ "left_pr_number": 44974,
1539
+ "right_pr_number": 46717,
1540
+ "similarity": 0.411,
1541
+ "content_similarity": 0.28,
1542
+ "size_similarity": 0.572,
1543
+ "breadth_similarity": 0.9,
1544
+ "concentration_similarity": 0.774,
1545
+ "shared_filenames": [
1546
+ "src/transformers/core_model_loading.py",
1547
+ "tests/utils/test_core_model_loading.py"
1548
+ ],
1549
+ "shared_directories": [
1550
+ "src/transformers",
1551
+ "tests/utils",
1552
+ "src",
1553
+ "tests"
1554
+ ]
1555
+ },
1556
+ {
1557
+ "left_pr_number": 45996,
1558
+ "right_pr_number": 46717,
1559
+ "similarity": 0.374,
1560
+ "content_similarity": 0.273,
1561
+ "size_similarity": 0.241,
1562
+ "breadth_similarity": 1.0,
1563
+ "concentration_similarity": 0.945,
1564
+ "shared_filenames": [
1565
+ "src/transformers/core_model_loading.py",
1566
+ "tests/utils/test_core_model_loading.py"
1567
+ ],
1568
+ "shared_directories": [
1569
+ "src/transformers",
1570
+ "tests/utils",
1571
+ "src",
1572
+ "tests"
1573
+ ]
1574
+ },
1575
+ {
1576
+ "left_pr_number": 45635,
1577
+ "right_pr_number": 46717,
1578
+ "similarity": 0.362,
1579
+ "content_similarity": 0.269,
1580
+ "size_similarity": 0.337,
1581
+ "breadth_similarity": 0.875,
1582
+ "concentration_similarity": 0.703,
1583
+ "shared_filenames": [
1584
+ "src/transformers/core_model_loading.py",
1585
+ "tests/utils/test_core_model_loading.py"
1586
+ ],
1587
+ "shared_directories": [
1588
+ "src/transformers",
1589
+ "tests/utils",
1590
+ "src",
1591
+ "tests"
1592
+ ]
1593
+ },
1594
+ {
1595
+ "left_pr_number": 46717,
1596
+ "right_pr_number": 47257,
1597
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1598
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1599
+ "size_similarity": 0.101,
1600
+ "breadth_similarity": 0.583,
1601
+ "concentration_similarity": 0.972,
1602
+ "shared_filenames": [
1603
+ "src/transformers/core_model_loading.py",
1604
+ "tests/utils/test_core_model_loading.py"
1605
+ ],
1606
+ "shared_directories": [
1607
+ "src/transformers",
1608
+ "tests/utils",
1609
+ "src",
1610
+ "tests"
1611
+ ]
1612
+ },
1613
+ {
1614
+ "left_pr_number": 45421,
1615
+ "right_pr_number": 45996,
1616
+ "similarity": 0.319,
1617
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1618
+ "size_similarity": 0.573,
1619
+ "breadth_similarity": 0.583,
1620
+ "concentration_similarity": 0.828,
1621
+ "shared_filenames": [
1622
+ "src/transformers/core_model_loading.py"
1623
+ ],
1624
+ "shared_directories": [
1625
+ "src/transformers",
1626
+ "src",
1627
+ "tests"
1628
+ ]
1629
+ },
1630
+ {
1631
+ "left_pr_number": 45421,
1632
+ "right_pr_number": 47257,
1633
+ "similarity": 0.279,
1634
+ "content_similarity": 0.238,
1635
+ "size_similarity": 0.24,
1636
+ "breadth_similarity": 0.333,
1637
+ "concentration_similarity": 0.856,
1638
+ "shared_filenames": [
1639
+ "src/transformers/core_model_loading.py"
1640
+ ],
1641
+ "shared_directories": [
1642
+ "src/transformers",
1643
+ "src",
1644
+ "tests"
1645
+ ]
1646
+ },
1647
+ {
1648
+ "left_pr_number": 45421,
1649
+ "right_pr_number": 46717,
1650
+ "similarity": 0.235,
1651
+ "content_similarity": 0.1,
1652
+ "size_similarity": 0.42,
1653
+ "breadth_similarity": 0.583,
1654
+ "concentration_similarity": 0.883,
1655
+ "shared_filenames": [
1656
+ "src/transformers/core_model_loading.py"
1657
+ ],
1658
+ "shared_directories": [
1659
+ "src/transformers",
1660
+ "src",
1661
+ "tests"
1662
+ ]
1663
+ }
1664
+ ]
1665
+ },
1666
+ {
1667
+ "cluster_id": "pr-scope-41606-6",
1668
+ "pr_numbers": [
1669
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1670
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1671
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1672
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1673
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1674
+ 46161
1675
+ ],
1676
+ "representative_pr_number": 45627,
1677
+ "average_similarity": 0.427,
1678
+ "summary": "6 open PRs share weighted file overlap around `src/transformers/processing_utils.py`, `tests/test_processing_common.py`, `tests/models/auto/test_processor_auto.py`; representative PR #45627.",
1679
+ "shared_filenames": [
1680
+ "src/transformers/processing_utils.py",
1681
+ "tests/test_processing_common.py",
1682
+ "tests/models/auto/test_processor_auto.py"
1683
+ ],
1684
+ "shared_directories": [
1685
+ "src/transformers",
1686
+ "tests",
1687
+ "src",
1688
+ "tests/models/auto",
1689
+ "tests/models"
1690
+ ],
1691
+ "pairwise": [
1692
+ {
1693
+ "left_pr_number": 41606,
1694
+ "right_pr_number": 44543,
1695
+ "similarity": 0.684,
1696
+ "content_similarity": 0.661,
1697
+ "size_similarity": 0.583,
1698
+ "breadth_similarity": 1.0,
1699
+ "concentration_similarity": 0.683,
1700
+ "shared_filenames": [
1701
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1702
+ "tests/test_processing_common.py"
1703
+ ],
1704
+ "shared_directories": [
1705
+ "src/transformers",
1706
+ "src",
1707
+ "tests"
1708
+ ]
1709
+ },
1710
+ {
1711
+ "left_pr_number": 45627,
1712
+ "right_pr_number": 46161,
1713
+ "similarity": 0.672,
1714
+ "content_similarity": 0.587,
1715
+ "size_similarity": 0.747,
1716
+ "breadth_similarity": 1.0,
1717
+ "concentration_similarity": 0.985,
1718
+ "shared_filenames": [
1719
+ "src/transformers/processing_utils.py",
1720
+ "tests/models/auto/test_processor_auto.py"
1721
+ ],
1722
+ "shared_directories": [
1723
+ "tests/models/auto",
1724
+ "src/transformers",
1725
+ "tests/models",
1726
+ "src",
1727
+ "tests"
1728
+ ]
1729
+ },
1730
+ {
1731
+ "left_pr_number": 42668,
1732
+ "right_pr_number": 45627,
1733
+ "similarity": 0.657,
1734
+ "content_similarity": 0.799,
1735
+ "size_similarity": 0.189,
1736
+ "breadth_similarity": 0.216,
1737
+ "concentration_similarity": 0.952,
1738
+ "shared_filenames": [
1739
+ "src/transformers/processing_utils.py",
1740
+ "tests/models/auto/test_processor_auto.py"
1741
+ ],
1742
+ "shared_directories": [
1743
+ "tests/models/auto",
1744
+ "src/transformers",
1745
+ "tests/models",
1746
+ "src",
1747
+ "tests"
1748
+ ]
1749
+ },
1750
+ {
1751
+ "left_pr_number": 42668,
1752
+ "right_pr_number": 46161,
1753
+ "similarity": 0.571,
1754
+ "content_similarity": 0.664,
1755
+ "size_similarity": 0.253,
1756
+ "breadth_similarity": 0.216,
1757
+ "concentration_similarity": 0.937,
1758
+ "shared_filenames": [
1759
+ "src/transformers/processing_utils.py",
1760
+ "tests/models/auto/test_processor_auto.py"
1761
+ ],
1762
+ "shared_directories": [
1763
+ "tests/models/auto",
1764
+ "src/transformers",
1765
+ "tests/models",
1766
+ "src",
1767
+ "tests"
1768
+ ]
1769
+ },
1770
+ {
1771
+ "left_pr_number": 41606,
1772
+ "right_pr_number": 45422,
1773
+ "similarity": 0.502,
1774
+ "content_similarity": 0.425,
1775
+ "size_similarity": 0.569,
1776
+ "breadth_similarity": 0.75,
1777
+ "concentration_similarity": 0.881,
1778
+ "shared_filenames": [
1779
+ "src/transformers/processing_utils.py",
1780
+ "tests/test_processing_common.py"
1781
+ ],
1782
+ "shared_directories": [
1783
+ "src/transformers",
1784
+ "src",
1785
+ "tests"
1786
+ ]
1787
+ },
1788
+ {
1789
+ "left_pr_number": 44543,
1790
+ "right_pr_number": 45422,
1791
+ "similarity": 0.485,
1792
+ "content_similarity": 0.458,
1793
+ "size_similarity": 0.331,
1794
+ "breadth_similarity": 0.75,
1795
+ "concentration_similarity": 0.802,
1796
+ "shared_filenames": [
1797
+ "src/transformers/processing_utils.py",
1798
+ "tests/test_processing_common.py"
1799
+ ],
1800
+ "shared_directories": [
1801
+ "src/transformers",
1802
+ "src",
1803
+ "tests"
1804
+ ]
1805
+ },
1806
+ {
1807
+ "left_pr_number": 44543,
1808
+ "right_pr_number": 46161,
1809
+ "similarity": 0.386,
1810
+ "content_similarity": 0.219,
1811
+ "size_similarity": 0.566,
1812
+ "breadth_similarity": 1.0,
1813
+ "concentration_similarity": 0.97,
1814
+ "shared_filenames": [
1815
+ "src/transformers/processing_utils.py"
1816
+ ],
1817
+ "shared_directories": [
1818
+ "src/transformers",
1819
+ "src",
1820
+ "tests"
1821
+ ]
1822
+ },
1823
+ {
1824
+ "left_pr_number": 41606,
1825
+ "right_pr_number": 46161,
1826
+ "similarity": 0.363,
1827
+ "content_similarity": 0.117,
1828
+ "size_similarity": 0.971,
1829
+ "breadth_similarity": 1.0,
1830
+ "concentration_similarity": 0.712,
1831
+ "shared_filenames": [
1832
+ "src/transformers/processing_utils.py"
1833
+ ],
1834
+ "shared_directories": [
1835
+ "src/transformers",
1836
+ "src",
1837
+ "tests"
1838
+ ]
1839
+ },
1840
+ {
1841
+ "left_pr_number": 44543,
1842
+ "right_pr_number": 45627,
1843
+ "similarity": 0.358,
1844
  "content_similarity": 0.208,
1845
  "size_similarity": 0.423,
1846
  "breadth_similarity": 1.0,
 
2801
  ]
2802
  },
2803
  {
2804
+ "cluster_id": "pr-scope-44385-5",
2805
  "pr_numbers": [
2806
+ 44385,
2807
+ 44615,
2808
+ 46152,
2809
+ 46995,
2810
+ 47222
2811
  ],
2812
+ "representative_pr_number": 44615,
2813
+ "average_similarity": 0.422,
2814
+ "summary": "5 open PRs share weighted file overlap around `src/transformers/utils/import_utils.py`; representative PR #44615.",
2815
  "shared_filenames": [
2816
+ "src/transformers/utils/import_utils.py"
 
 
2817
  ],
2818
  "shared_directories": [
2819
+ "src/transformers/utils",
2820
  "src/transformers",
2821
+ "src"
 
 
 
2822
  ],
2823
  "pairwise": [
2824
  {
2825
+ "left_pr_number": 44615,
2826
+ "right_pr_number": 46152,
2827
+ "similarity": 0.619,
2828
+ "content_similarity": 0.545,
2829
+ "size_similarity": 0.583,
2830
+ "breadth_similarity": 1.0,
2831
+ "concentration_similarity": 1.0,
2832
  "shared_filenames": [
2833
+ "src/transformers/utils/import_utils.py"
 
2834
  ],
2835
  "shared_directories": [
2836
+ "src/transformers/utils",
2837
  "src/transformers",
2838
+ "src"
 
 
2839
  ]
2840
  },
2841
  {
2842
+ "left_pr_number": 44615,
2843
+ "right_pr_number": 46995,
2844
+ "similarity": 0.484,
2845
+ "content_similarity": 0.428,
2846
+ "size_similarity": 0.229,
2847
+ "breadth_similarity": 1.0,
2848
+ "concentration_similarity": 1.0,
2849
  "shared_filenames": [
2850
+ "src/transformers/utils/import_utils.py"
2851
+ ],
2852
+ "shared_directories": [
2853
+ "src/transformers/utils",
2854
+ "src/transformers",
2855
+ "src"
2856
+ ]
2857
+ },
2858
+ {
2859
+ "left_pr_number": 46152,
2860
+ "right_pr_number": 46995,
2861
+ "similarity": 0.48,
2862
+ "content_similarity": 0.442,
2863
+ "size_similarity": 0.133,
2864
+ "breadth_similarity": 1.0,
2865
+ "concentration_similarity": 1.0,
2866
+ "shared_filenames": [
2867
+ "src/transformers/utils/import_utils.py"
2868
+ ],
2869
+ "shared_directories": [
2870
+ "src/transformers/utils",
2871
+ "src/transformers",
2872
+ "src"
2873
+ ]
2874
+ },
2875
+ {
2876
+ "left_pr_number": 44385,
2877
+ "right_pr_number": 46995,
2878
+ "similarity": 0.428,
2879
+ "content_similarity": 0.314,
2880
+ "size_similarity": 0.615,
2881
+ "breadth_similarity": 0.667,
2882
+ "concentration_similarity": 1.0,
2883
+ "shared_filenames": [
2884
+ "src/transformers/utils/import_utils.py"
2885
+ ],
2886
+ "shared_directories": [
2887
+ "src/transformers/utils",
2888
+ "src/transformers",
2889
+ "src"
2890
+ ]
2891
+ },
2892
+ {
2893
+ "left_pr_number": 44615,
2894
+ "right_pr_number": 47222,
2895
+ "similarity": 0.417,
2896
+ "content_similarity": 0.292,
2897
+ "size_similarity": 0.857,
2898
+ "breadth_similarity": 0.5,
2899
+ "concentration_similarity": 0.667,
2900
+ "shared_filenames": [
2901
+ "src/transformers/utils/import_utils.py"
2902
+ ],
2903
+ "shared_directories": [
2904
+ "src/transformers/utils",
2905
+ "src/transformers",
2906
+ "src"
2907
+ ]
2908
+ },
2909
+ {
2910
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2912
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2913
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2915
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2916
+ "concentration_similarity": 1.0,
2917
+ "shared_filenames": [
2918
+ "src/transformers/utils/import_utils.py"
2919
+ ],
2920
+ "shared_directories": [
2921
+ "src/transformers/utils",
2922
+ "src/transformers",
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+ "src"
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+ ]
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+ },
2926
+ {
2927
+ "left_pr_number": 44385,
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2933
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2934
+ "shared_filenames": [
2935
+ "src/transformers/utils/import_utils.py"
2936
+ ],
2937
+ "shared_directories": [
2938
+ "src/transformers/utils",
2939
+ "src/transformers",
2940
+ "src"
2941
+ ]
2942
+ },
2943
+ {
2944
+ "left_pr_number": 46152,
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+ "right_pr_number": 47222,
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2947
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+ "size_similarity": 0.5,
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+ "breadth_similarity": 0.5,
2950
+ "concentration_similarity": 0.667,
2951
+ "shared_filenames": [
2952
+ "src/transformers/utils/import_utils.py"
2953
+ ],
2954
+ "shared_directories": [
2955
+ "src/transformers/utils",
2956
+ "src/transformers",
2957
+ "src"
2958
+ ]
2959
+ },
2960
+ {
2961
+ "left_pr_number": 46995,
2962
+ "right_pr_number": 47222,
2963
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2964
+ "content_similarity": 0.275,
2965
+ "size_similarity": 0.267,
2966
+ "breadth_similarity": 0.5,
2967
+ "concentration_similarity": 0.667,
2968
+ "shared_filenames": [
2969
+ "src/transformers/utils/import_utils.py"
2970
+ ],
2971
+ "shared_directories": [
2972
+ "src/transformers/utils",
2973
+ "src/transformers",
2974
+ "src"
2975
+ ]
2976
+ },
2977
+ {
2978
+ "left_pr_number": 44385,
2979
+ "right_pr_number": 47222,
2980
+ "similarity": 0.307,
2981
+ "content_similarity": 0.214,
2982
+ "size_similarity": 0.433,
2983
+ "breadth_similarity": 0.583,
2984
+ "concentration_similarity": 0.667,
2985
+ "shared_filenames": [
2986
+ "src/transformers/utils/import_utils.py"
2987
+ ],
2988
+ "shared_directories": [
2989
+ "src/transformers/utils",
2990
+ "src/transformers",
2991
+ "src"
2992
+ ]
2993
+ }
2994
+ ]
2995
+ },
2996
+ {
2997
+ "cluster_id": "pr-scope-32189-5",
2998
+ "pr_numbers": [
2999
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3000
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3001
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3002
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3003
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+ ],
3005
+ "representative_pr_number": 46735,
3006
+ "average_similarity": 0.383,
3007
+ "summary": "5 open PRs share weighted file overlap around `tests/generation/test_utils.py`, `src/transformers/generation/utils.py`, `src/transformers/generation/candidate_generator.py`; representative PR #46735.",
3008
+ "shared_filenames": [
3009
+ "tests/generation/test_utils.py",
3010
+ "src/transformers/generation/utils.py",
3011
+ "src/transformers/generation/candidate_generator.py"
3012
+ ],
3013
+ "shared_directories": [
3014
+ "src/transformers/generation",
3015
+ "src/transformers",
3016
+ "src",
3017
+ "tests/generation",
3018
+ "tests"
3019
+ ],
3020
+ "pairwise": [
3021
+ {
3022
+ "left_pr_number": 46735,
3023
+ "right_pr_number": 47153,
3024
+ "similarity": 0.608,
3025
+ "content_similarity": 0.508,
3026
+ "size_similarity": 0.717,
3027
+ "breadth_similarity": 1.0,
3028
+ "concentration_similarity": 0.899,
3029
+ "shared_filenames": [
3030
+ "src/transformers/generation/utils.py",
3031
+ "tests/generation/test_utils.py"
3032
  ],
3033
  "shared_directories": [
3034
+ "src/transformers/generation",
3035
  "src/transformers",
3036
+ "tests/generation",
3037
  "src",
3038
  "tests"
3039
  ]
3040
  },
3041
  {
3042
+ "left_pr_number": 32189,
3043
+ "right_pr_number": 42655,
3044
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3045
+ "content_similarity": 0.488,
3046
+ "size_similarity": 0.231,
3047
+ "breadth_similarity": 0.5,
3048
+ "concentration_similarity": 0.568,
3049
  "shared_filenames": [
3050
+ "src/transformers/generation/candidate_generator.py",
3051
+ "src/transformers/generation/utils.py"
3052
  ],
3053
  "shared_directories": [
3054
+ "src/transformers/generation",
3055
  "src/transformers",
3056
+ "src"
 
 
3057
  ]
3058
  },
3059
  {
3060
+ "left_pr_number": 46124,
3061
+ "right_pr_number": 47153,
3062
+ "similarity": 0.415,
3063
+ "content_similarity": 0.241,
3064
+ "size_similarity": 0.651,
3065
+ "breadth_similarity": 1.0,
3066
+ "concentration_similarity": 0.983,
3067
  "shared_filenames": [
3068
+ "tests/generation/test_utils.py"
 
3069
  ],
3070
  "shared_directories": [
3071
+ "src/transformers/generation",
3072
  "src/transformers",
3073
+ "tests/generation",
3074
  "src",
3075
  "tests"
3076
  ]
3077
  },
3078
  {
3079
+ "left_pr_number": 42655,
3080
+ "right_pr_number": 46124,
3081
+ "similarity": 0.398,
3082
+ "content_similarity": 0.447,
3083
+ "size_similarity": 0.038,
3084
+ "breadth_similarity": 0.417,
3085
+ "concentration_similarity": 0.753,
3086
  "shared_filenames": [
3087
+ "src/transformers/generation/candidate_generator.py",
3088
+ "tests/generation/test_utils.py"
3089
  ],
3090
  "shared_directories": [
3091
+ "src/transformers/generation",
3092
  "src/transformers",
3093
+ "tests/generation",
3094
  "src",
3095
  "tests"
3096
  ]
3097
  },
3098
  {
3099
+ "left_pr_number": 32189,
3100
+ "right_pr_number": 46124,
3101
+ "similarity": 0.389,
3102
+ "content_similarity": 0.343,
3103
+ "size_similarity": 0.165,
3104
+ "breadth_similarity": 0.833,
3105
+ "concentration_similarity": 0.815,
3106
  "shared_filenames": [
3107
+ "src/transformers/generation/candidate_generator.py"
 
3108
  ],
3109
  "shared_directories": [
3110
+ "src/transformers/generation",
3111
  "src/transformers",
3112
+ "src"
 
 
3113
  ]
3114
  },
3115
  {
3116
+ "left_pr_number": 46124,
3117
+ "right_pr_number": 46735,
3118
+ "similarity": 0.384,
3119
+ "content_similarity": 0.241,
3120
+ "size_similarity": 0.467,
3121
  "breadth_similarity": 1.0,
3122
+ "concentration_similarity": 0.917,
3123
  "shared_filenames": [
3124
+ "tests/generation/test_utils.py"
 
3125
  ],
3126
  "shared_directories": [
3127
+ "src/transformers/generation",
3128
  "src/transformers",
3129
+ "tests/generation",
3130
  "src",
3131
  "tests"
3132
  ]
3133
  },
3134
  {
3135
+ "left_pr_number": 42655,
3136
+ "right_pr_number": 46735,
3137
+ "similarity": 0.318,
3138
+ "content_similarity": 0.317,
3139
+ "size_similarity": 0.082,
3140
+ "breadth_similarity": 0.417,
3141
+ "concentration_similarity": 0.837,
3142
  "shared_filenames": [
3143
+ "src/transformers/generation/utils.py",
3144
+ "tests/generation/test_utils.py"
3145
  ],
3146
  "shared_directories": [
3147
+ "src/transformers/generation",
3148
  "src/transformers",
3149
+ "tests/generation",
3150
  "src",
3151
  "tests"
3152
  ]
3153
  },
3154
  {
3155
+ "left_pr_number": 42655,
3156
+ "right_pr_number": 47153,
3157
+ "similarity": 0.307,
3158
+ "content_similarity": 0.314,
3159
+ "size_similarity": 0.059,
3160
+ "breadth_similarity": 0.417,
3161
+ "concentration_similarity": 0.736,
3162
  "shared_filenames": [
3163
+ "src/transformers/generation/utils.py",
3164
+ "tests/generation/test_utils.py"
3165
  ],
3166
  "shared_directories": [
3167
+ "src/transformers/generation",
3168
  "src/transformers",
3169
+ "tests/generation",
3170
  "src",
3171
  "tests"
3172
  ]
3173
  },
3174
  {
3175
+ "left_pr_number": 32189,
3176
+ "right_pr_number": 46735,
3177
+ "similarity": 0.292,
3178
+ "content_similarity": 0.171,
3179
+ "size_similarity": 0.353,
3180
+ "breadth_similarity": 0.833,
3181
+ "concentration_similarity": 0.731,
3182
  "shared_filenames": [
3183
+ "src/transformers/generation/utils.py"
3184
  ],
3185
  "shared_directories": [
3186
+ "src/transformers/generation",
3187
  "src/transformers",
3188
+ "src"
3189
+ ]
3190
+ },
3191
+ {
3192
+ "left_pr_number": 32189,
3193
+ "right_pr_number": 47153,
3194
+ "similarity": 0.26,
3195
+ "content_similarity": 0.138,
3196
+ "size_similarity": 0.253,
3197
+ "breadth_similarity": 0.833,
3198
+ "concentration_similarity": 0.832,
3199
+ "shared_filenames": [
3200
+ "src/transformers/generation/utils.py"
3201
+ ],
3202
+ "shared_directories": [
3203
+ "src/transformers/generation",
3204
+ "src/transformers",
3205
+ "src"
3206
  ]
3207
  }
3208
  ]
3209
  },
3210
  {
3211
+ "cluster_id": "pr-scope-34925-5",
3212
  "pr_numbers": [
3213
+ 34925,
3214
+ 44889,
3215
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3216
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3217
+ 46775
3218
  ],
3219
+ "representative_pr_number": 44889,
3220
+ "average_similarity": 0.364,
3221
+ "summary": "5 open PRs share weighted file overlap around `src/transformers/trainer.py`, `tests/trainer/distributed/test_trainer_distributed_deepspeed.py`, `tests/trainer/test_trainer.py`; representative PR #44889.",
3222
  "shared_filenames": [
3223
+ "src/transformers/trainer.py",
3224
+ "tests/trainer/distributed/test_trainer_distributed_deepspeed.py",
3225
+ "tests/trainer/test_trainer.py"
3226
  ],
3227
  "shared_directories": [
3228
+ "tests/trainer",
3229
  "src/transformers",
3230
+ "tests",
3231
+ "src",
3232
+ "tests/trainer/distributed"
3233
  ],
3234
  "pairwise": [
3235
  {
3236
+ "left_pr_number": 34925,
3237
+ "right_pr_number": 45917,
3238
+ "similarity": 0.511,
3239
+ "content_similarity": 0.448,
3240
+ "size_similarity": 0.39,
3241
  "breadth_similarity": 1.0,
3242
+ "concentration_similarity": 0.78,
3243
  "shared_filenames": [
3244
+ "tests/trainer/test_trainer.py"
3245
  ],
3246
  "shared_directories": [
 
3247
  "src/transformers",
3248
+ "tests/trainer",
3249
+ "src",
3250
+ "tests"
3251
  ]
3252
  },
3253
  {
3254
+ "left_pr_number": 44889,
3255
+ "right_pr_number": 46775,
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+ "similarity": 0.457,
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+ "content_similarity": 0.335,
3258
+ "size_similarity": 0.877,
3259
+ "breadth_similarity": 0.458,
3260
+ "concentration_similarity": 0.9,
3261
  "shared_filenames": [
3262
+ "src/transformers/trainer.py",
3263
+ "tests/trainer/distributed/test_trainer_distributed_deepspeed.py"
3264
  ],
3265
  "shared_directories": [
3266
+ "tests/trainer/distributed",
3267
  "src/transformers",
3268
+ "tests/trainer",
3269
+ "src",
3270
+ "tests"
3271
  ]
3272
  },
3273
  {
3274
+ "left_pr_number": 34925,
3275
+ "right_pr_number": 44889,
3276
+ "similarity": 0.41,
3277
+ "content_similarity": 0.281,
3278
+ "size_similarity": 0.444,
3279
  "breadth_similarity": 1.0,
3280
+ "concentration_similarity": 0.928,
3281
  "shared_filenames": [
3282
+ "src/transformers/trainer.py"
3283
  ],
3284
  "shared_directories": [
 
3285
  "src/transformers",
3286
+ "tests/trainer",
3287
+ "src",
3288
+ "tests"
3289
  ]
3290
  },
3291
  {
3292
+ "left_pr_number": 44889,
3293
+ "right_pr_number": 44981,
3294
+ "similarity": 0.4,
3295
+ "content_similarity": 0.159,
3296
+ "size_similarity": 0.991,
3297
+ "breadth_similarity": 1.0,
3298
+ "concentration_similarity": 0.812,
3299
  "shared_filenames": [
3300
+ "src/transformers/trainer.py"
3301
  ],
3302
  "shared_directories": [
 
3303
  "src/transformers",
3304
+ "tests/trainer",
3305
+ "src",
3306
+ "tests"
3307
  ]
3308
  },
3309
  {
3310
+ "left_pr_number": 44981,
3311
+ "right_pr_number": 45917,
3312
+ "similarity": 0.351,
3313
+ "content_similarity": 0.103,
3314
+ "size_similarity": 0.87,
3315
+ "breadth_similarity": 1.0,
3316
+ "concentration_similarity": 0.959,
3317
+ "shared_filenames": [],
 
 
3318
  "shared_directories": [
 
3319
  "src/transformers",
3320
+ "tests/trainer",
3321
+ "src",
3322
+ "tests"
3323
  ]
3324
  },
3325
  {
3326
+ "left_pr_number": 44889,
3327
+ "right_pr_number": 45917,
3328
+ "similarity": 0.328,
3329
+ "content_similarity": 0.077,
3330
+ "size_similarity": 0.879,
3331
+ "breadth_similarity": 1.0,
3332
+ "concentration_similarity": 0.852,
3333
+ "shared_filenames": [],
 
 
3334
  "shared_directories": [
 
3335
  "src/transformers",
3336
+ "tests/trainer",
3337
+ "src",
3338
+ "tests"
3339
  ]
3340
  },
3341
  {
3342
+ "left_pr_number": 34925,
3343
+ "right_pr_number": 44981,
3344
+ "similarity": 0.32,
3345
+ "content_similarity": 0.166,
3346
+ "size_similarity": 0.448,
3347
+ "breadth_similarity": 1.0,
3348
+ "concentration_similarity": 0.74,
3349
  "shared_filenames": [
3350
+ "src/transformers/trainer.py"
3351
  ],
3352
  "shared_directories": [
 
3353
  "src/transformers",
3354
+ "tests/trainer",
3355
+ "src",
3356
+ "tests"
3357
  ]
3358
  },
3359
  {
3360
+ "left_pr_number": 44981,
3361
+ "right_pr_number": 46775,
3362
+ "similarity": 0.305,
3363
+ "content_similarity": 0.13,
3364
+ "size_similarity": 0.885,
3365
+ "breadth_similarity": 0.458,
3366
+ "concentration_similarity": 0.712,
3367
  "shared_filenames": [
3368
+ "src/transformers/trainer.py"
3369
  ],
3370
  "shared_directories": [
 
3371
  "src/transformers",
3372
+ "tests/trainer",
3373
+ "src",
3374
+ "tests"
3375
  ]
3376
  },
3377
  {
3378
+ "left_pr_number": 34925,
3379
+ "right_pr_number": 46775,
3380
+ "similarity": 0.296,
3381
+ "content_similarity": 0.179,
3382
+ "size_similarity": 0.506,
3383
+ "breadth_similarity": 0.458,
3384
+ "concentration_similarity": 0.972,
3385
  "shared_filenames": [
3386
+ "src/transformers/trainer.py"
3387
  ],
3388
  "shared_directories": [
 
3389
  "src/transformers",
3390
+ "tests/trainer",
3391
+ "src",
3392
+ "tests"
3393
  ]
3394
  },
3395
  {
3396
+ "left_pr_number": 45917,
3397
+ "right_pr_number": 46775,
3398
+ "similarity": 0.262,
3399
+ "content_similarity": 0.09,
3400
+ "size_similarity": 0.77,
3401
+ "breadth_similarity": 0.458,
3402
+ "concentration_similarity": 0.752,
3403
+ "shared_filenames": [],
 
 
3404
  "shared_directories": [
 
3405
  "src/transformers",
3406
+ "tests/trainer",
3407
+ "src",
3408
+ "tests"
3409
  ]
3410
  }
3411
  ]
 
3541
  {
3542
  "left_pr_number": 33686,
3543
  "right_pr_number": 46007,
3544
+ "similarity": 0.336,
3545
  "content_similarity": 0.078,
3546
  "size_similarity": 0.88,
3547
  "breadth_similarity": 1.0,
 
3915
  45985
3916
  ],
3917
  "representative_pr_number": 45985,
3918
+ "average_similarity": 0.509,
3919
  "summary": "4 open PRs share weighted file overlap around `src/transformers/generation/utils.py`; representative PR #45985.",
3920
  "shared_filenames": [
3921
  "src/transformers/generation/utils.py"
 
3929
  {
3930
  "left_pr_number": 34667,
3931
  "right_pr_number": 45985,
3932
+ "similarity": 0.607,
3933
+ "content_similarity": 0.495,
3934
  "size_similarity": 0.733,
3935
  "breadth_similarity": 1.0,
3936
  "concentration_similarity": 1.0,
 
3946
  {
3947
  "left_pr_number": 39683,
3948
  "right_pr_number": 45985,
3949
+ "similarity": 0.6,
3950
+ "content_similarity": 0.503,
3951
  "size_similarity": 0.652,
3952
  "breadth_similarity": 1.0,
3953
  "concentration_similarity": 1.0,
 
3963
  {
3964
  "left_pr_number": 34667,
3965
  "right_pr_number": 39683,
3966
+ "similarity": 0.54,
3967
+ "content_similarity": 0.454,
3968
  "size_similarity": 0.478,
3969
  "breadth_similarity": 1.0,
3970
  "concentration_similarity": 1.0,
 
3980
  {
3981
  "left_pr_number": 44872,
3982
  "right_pr_number": 45985,
3983
+ "similarity": 0.452,
3984
+ "content_similarity": 0.389,
3985
  "size_similarity": 0.2,
3986
  "breadth_similarity": 1.0,
3987
  "concentration_similarity": 1.0,
 
3997
  {
3998
  "left_pr_number": 34667,
3999
  "right_pr_number": 44872,
4000
+ "similarity": 0.436,
4001
+ "content_similarity": 0.351,
4002
  "size_similarity": 0.273,
4003
  "breadth_similarity": 1.0,
4004
  "concentration_similarity": 1.0,
 
4014
  {
4015
  "left_pr_number": 39683,
4016
  "right_pr_number": 44872,
4017
+ "similarity": 0.419,
4018
+ "content_similarity": 0.357,
4019
  "size_similarity": 0.13,
4020
  "breadth_similarity": 1.0,
4021
  "concentration_similarity": 1.0,
 
4687
  {
4688
  "left_pr_number": 45570,
4689
  "right_pr_number": 47150,
4690
+ "similarity": 0.379,
4691
  "content_similarity": 0.301,
4692
  "size_similarity": 0.125,
4693
  "breadth_similarity": 1.0,
 
4994
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