huggingface/text-generation-inference
5
0
Fork 0
mirror of https://github.com/huggingface/text-generation-inference.git synced 2025-09-11 04:14:52 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix tests

Browse Source
This commit is contained in:
OlivierDehaene 2023-09-28 09:16:03 +02:00
parent dd31afd3a8
commit f938825272
5 changed files with 222 additions and 68 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
clients/python/README.md
View File

@ -140,6 +140,8 @@ class Parameters:
watermark: bool watermark: bool
# Get decoder input token logprobs and ids # Get decoder input token logprobs and ids
decoder_input_details: bool decoder_input_details: bool
# Return the N most likely tokens at each step
top_n_tokens: Optional[int]
# Decoder input tokens # Decoder input tokens
class InputToken: class InputToken:
@ -189,6 +191,8 @@ class BestOfSequence:
prefill: List[InputToken] prefill: List[InputToken]
# Generated tokens # Generated tokens
tokens: List[Token] tokens: List[Token]
# Most likely tokens
top_tokens: Optional[List[List[Token]]]
# `generate` details # `generate` details
@ -203,6 +207,8 @@ class Details:
prefill: List[InputToken] prefill: List[InputToken]
# Generated tokens # Generated tokens
tokens: List[Token] tokens: List[Token]
# Most likely tokens
top_tokens: Optional[List[List[Token]]]
# Additional sequences when using the `best_of` parameter # Additional sequences when using the `best_of` parameter
best_of_sequences: Optional[List[BestOfSequence]] best_of_sequences: Optional[List[BestOfSequence]]
@ -229,6 +235,8 @@ class StreamDetails:
class StreamResponse: class StreamResponse:
# Generated token # Generated token
token: Token token: Token
# Most likely tokens
top_tokens: Optional[List[Token]]
# Complete generated text # Complete generated text
# Only available when the generation is finished # Only available when the generation is finished
generated_text: Optional[str] generated_text: Optional[str]

201
clients/python/poetry.lock generated
View File

@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]] [[package]]
name = "aiohttp" name = "aiohttp"
@ -124,6 +124,20 @@ files = [
[package.dependencies] [package.dependencies]
frozenlist = ">=1.1.0" frozenlist = ">=1.1.0"
[[package]]
name = "annotated-types"
version = "0.5.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.7"
files = [
{file = "annotated_types-0.5.0-py3-none-any.whl", hash = "sha256:58da39888f92c276ad970249761ebea80ba544b77acddaa1a4d6cf78287d45fd"},
{file = "annotated_types-0.5.0.tar.gz", hash = "sha256:47cdc3490d9ac1506ce92c7aaa76c579dc3509ff11e098fc867e5130ab7be802"},
]
[package.dependencies]
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]] [[package]]
name = "async-timeout" name = "async-timeout"
version = "4.0.3" version = "4.0.3"
@ -693,55 +707,140 @@ files = [
[[package]] [[package]]
name = "pydantic" name = "pydantic"
version = "1.10.12" version = "2.4.2"
description = "Data validation and settings management using python type hints" description = "Data validation using Python type hints"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "pydantic-1.10.12-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a1fcb59f2f355ec350073af41d927bf83a63b50e640f4dbaa01053a28b7a7718"}, {file = "pydantic-2.4.2-py3-none-any.whl", hash = "sha256:bc3ddf669d234f4220e6e1c4d96b061abe0998185a8d7855c0126782b7abc8c1"},
{file = "pydantic-1.10.12-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b7ccf02d7eb340b216ec33e53a3a629856afe1c6e0ef91d84a4e6f2fb2ca70fe"}, {file = "pydantic-2.4.2.tar.gz", hash = "sha256:94f336138093a5d7f426aac732dcfe7ab4eb4da243c88f891d65deb4a2556ee7"},
{file = "pydantic-1.10.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8fb2aa3ab3728d950bcc885a2e9eff6c8fc40bc0b7bb434e555c215491bcf48b"},
{file = "pydantic-1.10.12-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:771735dc43cf8383959dc9b90aa281f0b6092321ca98677c5fb6125a6f56d58d"},
{file = "pydantic-1.10.12-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:ca48477862372ac3770969b9d75f1bf66131d386dba79506c46d75e6b48c1e09"},
{file = "pydantic-1.10.12-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a5e7add47a5b5a40c49b3036d464e3c7802f8ae0d1e66035ea16aa5b7a3923ed"},
{file = "pydantic-1.10.12-cp310-cp310-win_amd64.whl", hash = "sha256:e4129b528c6baa99a429f97ce733fff478ec955513630e61b49804b6cf9b224a"},
{file = "pydantic-1.10.12-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b0d191db0f92dfcb1dec210ca244fdae5cbe918c6050b342d619c09d31eea0cc"},
{file = "pydantic-1.10.12-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:795e34e6cc065f8f498c89b894a3c6da294a936ee71e644e4bd44de048af1405"},
{file = "pydantic-1.10.12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69328e15cfda2c392da4e713443c7dbffa1505bc9d566e71e55abe14c97ddc62"},
{file = "pydantic-1.10.12-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2031de0967c279df0d8a1c72b4ffc411ecd06bac607a212892757db7462fc494"},
{file = "pydantic-1.10.12-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:ba5b2e6fe6ca2b7e013398bc7d7b170e21cce322d266ffcd57cca313e54fb246"},
{file = "pydantic-1.10.12-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2a7bac939fa326db1ab741c9d7f44c565a1d1e80908b3797f7f81a4f86bc8d33"},
{file = "pydantic-1.10.12-cp311-cp311-win_amd64.whl", hash = "sha256:87afda5539d5140cb8ba9e8b8c8865cb5b1463924d38490d73d3ccfd80896b3f"},
{file = "pydantic-1.10.12-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:549a8e3d81df0a85226963611950b12d2d334f214436a19537b2efed61b7639a"},
{file = "pydantic-1.10.12-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:598da88dfa127b666852bef6d0d796573a8cf5009ffd62104094a4fe39599565"},
{file = "pydantic-1.10.12-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba5c4a8552bff16c61882db58544116d021d0b31ee7c66958d14cf386a5b5350"},
{file = "pydantic-1.10.12-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c79e6a11a07da7374f46970410b41d5e266f7f38f6a17a9c4823db80dadf4303"},
{file = "pydantic-1.10.12-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ab26038b8375581dc832a63c948f261ae0aa21f1d34c1293469f135fa92972a5"},
{file = "pydantic-1.10.12-cp37-cp37m-win_amd64.whl", hash = "sha256:e0a16d274b588767602b7646fa05af2782576a6cf1022f4ba74cbb4db66f6ca8"},
{file = "pydantic-1.10.12-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6a9dfa722316f4acf4460afdf5d41d5246a80e249c7ff475c43a3a1e9d75cf62"},
{file = "pydantic-1.10.12-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a73f489aebd0c2121ed974054cb2759af8a9f747de120acd2c3394cf84176ccb"},
{file = "pydantic-1.10.12-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b30bcb8cbfccfcf02acb8f1a261143fab622831d9c0989707e0e659f77a18e0"},
{file = "pydantic-1.10.12-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2fcfb5296d7877af406ba1547dfde9943b1256d8928732267e2653c26938cd9c"},
{file = "pydantic-1.10.12-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:2f9a6fab5f82ada41d56b0602606a5506aab165ca54e52bc4545028382ef1c5d"},
{file = "pydantic-1.10.12-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:dea7adcc33d5d105896401a1f37d56b47d443a2b2605ff8a969a0ed5543f7e33"},
{file = "pydantic-1.10.12-cp38-cp38-win_amd64.whl", hash = "sha256:1eb2085c13bce1612da8537b2d90f549c8cbb05c67e8f22854e201bde5d98a47"},
{file = "pydantic-1.10.12-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ef6c96b2baa2100ec91a4b428f80d8f28a3c9e53568219b6c298c1125572ebc6"},
{file = "pydantic-1.10.12-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6c076be61cd0177a8433c0adcb03475baf4ee91edf5a4e550161ad57fc90f523"},
{file = "pydantic-1.10.12-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d5a58feb9a39f481eda4d5ca220aa8b9d4f21a41274760b9bc66bfd72595b86"},
{file = "pydantic-1.10.12-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5f805d2d5d0a41633651a73fa4ecdd0b3d7a49de4ec3fadf062fe16501ddbf1"},
{file = "pydantic-1.10.12-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:1289c180abd4bd4555bb927c42ee42abc3aee02b0fb2d1223fb7c6e5bef87dbe"},
{file = "pydantic-1.10.12-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5d1197e462e0364906cbc19681605cb7c036f2475c899b6f296104ad42b9f5fb"},
{file = "pydantic-1.10.12-cp39-cp39-win_amd64.whl", hash = "sha256:fdbdd1d630195689f325c9ef1a12900524dceb503b00a987663ff4f58669b93d"},
{file = "pydantic-1.10.12-py3-none-any.whl", hash = "sha256:b749a43aa51e32839c9d71dc67eb1e4221bb04af1033a32e3923d46f9effa942"},
{file = "pydantic-1.10.12.tar.gz", hash = "sha256:0fe8a415cea8f340e7a9af9c54fc71a649b43e8ca3cc732986116b3cb135d303"},
] ]
[package.dependencies] [package.dependencies]
typing-extensions = ">=4.2.0" annotated-types = ">=0.4.0"
pydantic-core = "2.10.1"
typing-extensions = ">=4.6.1"
[package.extras] [package.extras]
dotenv = ["python-dotenv (>=0.10.4)"] email = ["email-validator (>=2.0.0)"]
email = ["email-validator (>=1.0.3)"]
[[package]]
name = "pydantic-core"
version = "2.10.1"
description = ""
optional = false
python-versions = ">=3.7"
files = [
{file = "pydantic_core-2.10.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:d64728ee14e667ba27c66314b7d880b8eeb050e58ffc5fec3b7a109f8cddbd63"},
{file = "pydantic_core-2.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:48525933fea744a3e7464c19bfede85df4aba79ce90c60b94d8b6e1eddd67096"},
{file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef337945bbd76cce390d1b2496ccf9f90b1c1242a3a7bc242ca4a9fc5993427a"},
{file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a1392e0638af203cee360495fd2cfdd6054711f2db5175b6e9c3c461b76f5175"},
{file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0675ba5d22de54d07bccde38997e780044dcfa9a71aac9fd7d4d7a1d2e3e65f7"},
{file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:128552af70a64660f21cb0eb4876cbdadf1a1f9d5de820fed6421fa8de07c893"},
{file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f6e6aed5818c264412ac0598b581a002a9f050cb2637a84979859e70197aa9e"},
{file = "pydantic_core-2.10.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ecaac27da855b8d73f92123e5f03612b04c5632fd0a476e469dfc47cd37d6b2e"},
{file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b3c01c2fb081fced3bbb3da78510693dc7121bb893a1f0f5f4b48013201f362e"},
{file = "pydantic_core-2.10.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:92f675fefa977625105708492850bcbc1182bfc3e997f8eecb866d1927c98ae6"},
{file = "pydantic_core-2.10.1-cp310-none-win32.whl", hash = "sha256:420a692b547736a8d8703c39ea935ab5d8f0d2573f8f123b0a294e49a73f214b"},
{file = "pydantic_core-2.10.1-cp310-none-win_amd64.whl", hash = "sha256:0880e239827b4b5b3e2ce05e6b766a7414e5f5aedc4523be6b68cfbc7f61c5d0"},
{file = "pydantic_core-2.10.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:073d4a470b195d2b2245d0343569aac7e979d3a0dcce6c7d2af6d8a920ad0bea"},
{file = "pydantic_core-2.10.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:600d04a7b342363058b9190d4e929a8e2e715c5682a70cc37d5ded1e0dd370b4"},
{file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39215d809470f4c8d1881758575b2abfb80174a9e8daf8f33b1d4379357e417c"},
{file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eeb3d3d6b399ffe55f9a04e09e635554012f1980696d6b0aca3e6cf42a17a03b"},
{file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a7a7902bf75779bc12ccfc508bfb7a4c47063f748ea3de87135d433a4cca7a2f"},
{file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3625578b6010c65964d177626fde80cf60d7f2e297d56b925cb5cdeda6e9925a"},
{file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:caa48fc31fc7243e50188197b5f0c4228956f97b954f76da157aae7f67269ae8"},
{file = "pydantic_core-2.10.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:07ec6d7d929ae9c68f716195ce15e745b3e8fa122fc67698ac6498d802ed0fa4"},
{file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e6f31a17acede6a8cd1ae2d123ce04d8cca74056c9d456075f4f6f85de055607"},
{file = "pydantic_core-2.10.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d8f1ebca515a03e5654f88411420fea6380fc841d1bea08effb28184e3d4899f"},
{file = "pydantic_core-2.10.1-cp311-none-win32.whl", hash = "sha256:6db2eb9654a85ada248afa5a6db5ff1cf0f7b16043a6b070adc4a5be68c716d6"},
{file = "pydantic_core-2.10.1-cp311-none-win_amd64.whl", hash = "sha256:4a5be350f922430997f240d25f8219f93b0c81e15f7b30b868b2fddfc2d05f27"},
{file = "pydantic_core-2.10.1-cp311-none-win_arm64.whl", hash = "sha256:5fdb39f67c779b183b0c853cd6b45f7db84b84e0571b3ef1c89cdb1dfc367325"},
{file = "pydantic_core-2.10.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:b1f22a9ab44de5f082216270552aa54259db20189e68fc12484873d926426921"},
{file = "pydantic_core-2.10.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8572cadbf4cfa95fb4187775b5ade2eaa93511f07947b38f4cd67cf10783b118"},
{file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db9a28c063c7c00844ae42a80203eb6d2d6bbb97070cfa00194dff40e6f545ab"},
{file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0e2a35baa428181cb2270a15864ec6286822d3576f2ed0f4cd7f0c1708472aff"},
{file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05560ab976012bf40f25d5225a58bfa649bb897b87192a36c6fef1ab132540d7"},
{file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6495008733c7521a89422d7a68efa0a0122c99a5861f06020ef5b1f51f9ba7c"},
{file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14ac492c686defc8e6133e3a2d9eaf5261b3df26b8ae97450c1647286750b901"},
{file = "pydantic_core-2.10.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8282bab177a9a3081fd3d0a0175a07a1e2bfb7fcbbd949519ea0980f8a07144d"},
{file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:aafdb89fdeb5fe165043896817eccd6434aee124d5ee9b354f92cd574ba5e78f"},
{file = "pydantic_core-2.10.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f6defd966ca3b187ec6c366604e9296f585021d922e666b99c47e78738b5666c"},
{file = "pydantic_core-2.10.1-cp312-none-win32.whl", hash = "sha256:7c4d1894fe112b0864c1fa75dffa045720a194b227bed12f4be7f6045b25209f"},
{file = "pydantic_core-2.10.1-cp312-none-win_amd64.whl", hash = "sha256:5994985da903d0b8a08e4935c46ed8daf5be1cf217489e673910951dc533d430"},
{file = "pydantic_core-2.10.1-cp312-none-win_arm64.whl", hash = "sha256:0d8a8adef23d86d8eceed3e32e9cca8879c7481c183f84ed1a8edc7df073af94"},
{file = "pydantic_core-2.10.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:9badf8d45171d92387410b04639d73811b785b5161ecadabf056ea14d62d4ede"},
{file = "pydantic_core-2.10.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:ebedb45b9feb7258fac0a268a3f6bec0a2ea4d9558f3d6f813f02ff3a6dc6698"},
{file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfe1090245c078720d250d19cb05d67e21a9cd7c257698ef139bc41cf6c27b4f"},
{file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e357571bb0efd65fd55f18db0a2fb0ed89d0bb1d41d906b138f088933ae618bb"},
{file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b3dcd587b69bbf54fc04ca157c2323b8911033e827fffaecf0cafa5a892a0904"},
{file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c120c9ce3b163b985a3b966bb701114beb1da4b0468b9b236fc754783d85aa3"},
{file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15d6bca84ffc966cc9976b09a18cf9543ed4d4ecbd97e7086f9ce9327ea48891"},
{file = "pydantic_core-2.10.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5cabb9710f09d5d2e9e2748c3e3e20d991a4c5f96ed8f1132518f54ab2967221"},
{file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:82f55187a5bebae7d81d35b1e9aaea5e169d44819789837cdd4720d768c55d15"},
{file = "pydantic_core-2.10.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1d40f55222b233e98e3921df7811c27567f0e1a4411b93d4c5c0f4ce131bc42f"},
{file = "pydantic_core-2.10.1-cp37-none-win32.whl", hash = "sha256:14e09ff0b8fe6e46b93d36a878f6e4a3a98ba5303c76bb8e716f4878a3bee92c"},
{file = "pydantic_core-2.10.1-cp37-none-win_amd64.whl", hash = "sha256:1396e81b83516b9d5c9e26a924fa69164156c148c717131f54f586485ac3c15e"},
{file = "pydantic_core-2.10.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:6835451b57c1b467b95ffb03a38bb75b52fb4dc2762bb1d9dbed8de31ea7d0fc"},
{file = "pydantic_core-2.10.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b00bc4619f60c853556b35f83731bd817f989cba3e97dc792bb8c97941b8053a"},
{file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fa467fd300a6f046bdb248d40cd015b21b7576c168a6bb20aa22e595c8ffcdd"},
{file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d99277877daf2efe074eae6338453a4ed54a2d93fb4678ddfe1209a0c93a2468"},
{file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa7db7558607afeccb33c0e4bf1c9a9a835e26599e76af6fe2fcea45904083a6"},
{file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aad7bd686363d1ce4ee930ad39f14e1673248373f4a9d74d2b9554f06199fb58"},
{file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:443fed67d33aa85357464f297e3d26e570267d1af6fef1c21ca50921d2976302"},
{file = "pydantic_core-2.10.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:042462d8d6ba707fd3ce9649e7bf268633a41018d6a998fb5fbacb7e928a183e"},
{file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ecdbde46235f3d560b18be0cb706c8e8ad1b965e5c13bbba7450c86064e96561"},
{file = "pydantic_core-2.10.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:ed550ed05540c03f0e69e6d74ad58d026de61b9eaebebbaaf8873e585cbb18de"},
{file = "pydantic_core-2.10.1-cp38-none-win32.whl", hash = "sha256:8cdbbd92154db2fec4ec973d45c565e767ddc20aa6dbaf50142676484cbff8ee"},
{file = "pydantic_core-2.10.1-cp38-none-win_amd64.whl", hash = "sha256:9f6f3e2598604956480f6c8aa24a3384dbf6509fe995d97f6ca6103bb8c2534e"},
{file = "pydantic_core-2.10.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:655f8f4c8d6a5963c9a0687793da37b9b681d9ad06f29438a3b2326d4e6b7970"},
{file = "pydantic_core-2.10.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e570ffeb2170e116a5b17e83f19911020ac79d19c96f320cbfa1fa96b470185b"},
{file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64322bfa13e44c6c30c518729ef08fda6026b96d5c0be724b3c4ae4da939f875"},
{file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:485a91abe3a07c3a8d1e082ba29254eea3e2bb13cbbd4351ea4e5a21912cc9b0"},
{file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7c2b8eb9fc872e68b46eeaf835e86bccc3a58ba57d0eedc109cbb14177be531"},
{file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a5cb87bdc2e5f620693148b5f8f842d293cae46c5f15a1b1bf7ceeed324a740c"},
{file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25bd966103890ccfa028841a8f30cebcf5875eeac8c4bde4fe221364c92f0c9a"},
{file = "pydantic_core-2.10.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f323306d0556351735b54acbf82904fe30a27b6a7147153cbe6e19aaaa2aa429"},
{file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0c27f38dc4fbf07b358b2bc90edf35e82d1703e22ff2efa4af4ad5de1b3833e7"},
{file = "pydantic_core-2.10.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f1365e032a477c1430cfe0cf2856679529a2331426f8081172c4a74186f1d595"},
{file = "pydantic_core-2.10.1-cp39-none-win32.whl", hash = "sha256:a1c311fd06ab3b10805abb72109f01a134019739bd3286b8ae1bc2fc4e50c07a"},
{file = "pydantic_core-2.10.1-cp39-none-win_amd64.whl", hash = "sha256:ae8a8843b11dc0b03b57b52793e391f0122e740de3df1474814c700d2622950a"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:d43002441932f9a9ea5d6f9efaa2e21458221a3a4b417a14027a1d530201ef1b"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fcb83175cc4936a5425dde3356f079ae03c0802bbdf8ff82c035f8a54b333521"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:962ed72424bf1f72334e2f1e61b68f16c0e596f024ca7ac5daf229f7c26e4208"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2cf5bb4dd67f20f3bbc1209ef572a259027c49e5ff694fa56bed62959b41e1f9"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e544246b859f17373bed915182ab841b80849ed9cf23f1f07b73b7c58baee5fb"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:c0877239307b7e69d025b73774e88e86ce82f6ba6adf98f41069d5b0b78bd1bf"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:53df009d1e1ba40f696f8995683e067e3967101d4bb4ea6f667931b7d4a01357"},
{file = "pydantic_core-2.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a1254357f7e4c82e77c348dabf2d55f1d14d19d91ff025004775e70a6ef40ada"},
{file = "pydantic_core-2.10.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:524ff0ca3baea164d6d93a32c58ac79eca9f6cf713586fdc0adb66a8cdeab96a"},
{file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f0ac9fb8608dbc6eaf17956bf623c9119b4db7dbb511650910a82e261e6600f"},
{file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:320f14bd4542a04ab23747ff2c8a778bde727158b606e2661349557f0770711e"},
{file = "pydantic_core-2.10.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:63974d168b6233b4ed6a0046296803cb13c56637a7b8106564ab575926572a55"},
{file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:417243bf599ba1f1fef2bb8c543ceb918676954734e2dcb82bf162ae9d7bd514"},
{file = "pydantic_core-2.10.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:dda81e5ec82485155a19d9624cfcca9be88a405e2857354e5b089c2a982144b2"},
{file = "pydantic_core-2.10.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14cfbb00959259e15d684505263d5a21732b31248a5dd4941f73a3be233865b9"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:631cb7415225954fdcc2a024119101946793e5923f6c4d73a5914d27eb3d3a05"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:bec7dd208a4182e99c5b6c501ce0b1f49de2802448d4056091f8e630b28e9a52"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:149b8a07712f45b332faee1a2258d8ef1fb4a36f88c0c17cb687f205c5dc6e7d"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4d966c47f9dd73c2d32a809d2be529112d509321c5310ebf54076812e6ecd884"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb037106f5c6b3b0b864ad226b0b7ab58157124161d48e4b30c4a43fef8bc4b"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:154ea7c52e32dce13065dbb20a4a6f0cc012b4f667ac90d648d36b12007fa9f7"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e562617a45b5a9da5be4abe72b971d4f00bf8555eb29bb91ec2ef2be348cd132"},
{file = "pydantic_core-2.10.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:f23b55eb5464468f9e0e9a9935ce3ed2a870608d5f534025cd5536bca25b1402"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:e9121b4009339b0f751955baf4543a0bfd6bc3f8188f8056b1a25a2d45099934"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:0523aeb76e03f753b58be33b26540880bac5aa54422e4462404c432230543f33"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e0e2959ef5d5b8dc9ef21e1a305a21a36e254e6a34432d00c72a92fdc5ecda5"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da01bec0a26befab4898ed83b362993c844b9a607a86add78604186297eb047e"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f2e9072d71c1f6cfc79a36d4484c82823c560e6f5599c43c1ca6b5cdbd54f881"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:f36a3489d9e28fe4b67be9992a23029c3cec0babc3bd9afb39f49844a8c721c5"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f64f82cc3443149292b32387086d02a6c7fb39b8781563e0ca7b8d7d9cf72bd7"},
{file = "pydantic_core-2.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b4a6db486ac8e99ae696e09efc8b2b9fea67b63c8f88ba7a1a16c24a057a0776"},
{file = "pydantic_core-2.10.1.tar.gz", hash = "sha256:0f8682dbdd2f67f8e1edddcbffcc29f60a6182b4901c367fc8c1c40d30bb0a82"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]] [[package]]
name = "pytest" name = "pytest"
@ -816,6 +915,7 @@ files = [
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"}, {file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
{file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
{file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"}, {file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
{file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"}, {file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"}, {file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
@ -823,8 +923,15 @@ files = [
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"}, {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"}, {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"}, {file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
{file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
{file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"}, {file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
{file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
{file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"}, {file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"}, {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"}, {file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
@ -841,6 +948,7 @@ files = [
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"}, {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"}, {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"}, {file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
{file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"}, {file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"}, {file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"}, {file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
@ -848,6 +956,7 @@ files = [
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"}, {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"}, {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"}, {file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
{file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"}, {file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"}, {file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"}, {file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@ -929,13 +1038,13 @@ files = [
[[package]] [[package]]
name = "urllib3" name = "urllib3"
version = "2.0.4" version = "2.0.5"
description = "HTTP library with thread-safe connection pooling, file post, and more." description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"}, {file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"},
{file = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"}, {file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"},
] ]
[package.extras] [package.extras]
@ -1050,4 +1159,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.7" python-versions = "^3.7"
content-hash = "0db2f97d52c557dd7f90c55b4ad5bbe308c957c5f7f99fec53c57e0a13822cb4" content-hash = "b7fab8703967f2616ea59a98a437cd30f97f0c8d2a06e399d688814a2a2c64f8"

2
clients/python/pyproject.toml
View File

@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "text-generation" name = "text-generation"
version = "0.6.0" version = "0.6.1"
description = "Hugging Face Text Generation Python Client" description = "Hugging Face Text Generation Python Client"
license = "Apache-2.0" license = "Apache-2.0"
authors = ["Olivier Dehaene <olivier@huggingface.co>"] authors = ["Olivier Dehaene <olivier@huggingface.co>"]

8
clients/python/text_generation/types.py
View File

@ -40,7 +40,7 @@ class Parameters(BaseModel):
# Get decoder input token logprobs and ids # Get decoder input token logprobs and ids
decoder_input_details: bool = False decoder_input_details: bool = False
# Return the N most likely tokens at each step # Return the N most likely tokens at each step
top_n_tokens: Optional[int] top_n_tokens: Optional[int] = None
@validator("best_of") @validator("best_of")
def valid_best_of(cls, field_value, values): def valid_best_of(cls, field_value, values):
@ -188,7 +188,7 @@ class BestOfSequence(BaseModel):
# Generated tokens # Generated tokens
tokens: List[Token] tokens: List[Token]
# Most likely tokens # Most likely tokens
top_tokens: Optional[List[List[Token]]] top_tokens: Optional[List[List[Token]]] = None
# `generate` details # `generate` details
@ -204,7 +204,7 @@ class Details(BaseModel):
# Generated tokens # Generated tokens
tokens: List[Token] tokens: List[Token]
# Most likely tokens # Most likely tokens
top_tokens: Optional[List[List[Token]]] top_tokens: Optional[List[List[Token]]] = None
# Additional sequences when using the `best_of` parameter # Additional sequences when using the `best_of` parameter
best_of_sequences: Optional[List[BestOfSequence]] = None best_of_sequences: Optional[List[BestOfSequence]] = None
@ -232,7 +232,7 @@ class StreamResponse(BaseModel):
# Generated token # Generated token
token: Token token: Token
# Most likely tokens # Most likely tokens
top_tokens: Optional[List[Token]] top_tokens: Optional[List[Token]] = None
# Complete generated text # Complete generated text
# Only available when the generation is finished # Only available when the generation is finished
generated_text: Optional[str] = None generated_text: Optional[str] = None

71
docs/source/basic_tutorials/launcher.md
View File

@ -16,6 +16,12 @@ Options:
[env: REVISION=] [env: REVISION=]
--validation-workers <VALIDATION_WORKERS>
The number of tokenizer workers used for payload validation and truncation inside the router
[env: VALIDATION_WORKERS=]
[default: 2]
--sharded <SHARDED> --sharded <SHARDED>
Whether to shard the model across multiple GPUs By default text-generation-inference will use all available GPUs to run the model. Setting it to `false` deactivates `num_shard` Whether to shard the model across multiple GPUs By default text-generation-inference will use all available GPUs to run the model. Setting it to `false` deactivates `num_shard`
@ -28,16 +34,23 @@ Options:
[env: NUM_SHARD=] [env: NUM_SHARD=]
--quantize <QUANTIZE> --quantize <QUANTIZE>
Whether you want the model to be quantized. This will use `bitsandbytes` for quantization on the fly, or `gptq` Whether you want the model to be quantized
[env: QUANTIZE=] [env: QUANTIZE=]
[possible values: bitsandbytes, gptq]
Possible values:
- awq: 4 bit quantization. Requires a specific GTPQ quantized model: https://hf.co/models?search=awq. Should replace GPTQ models whereever possible because of the better latency
- eetq: 8 bit quantization, doesn't require specific model. Should be a drop-in replacement to bitsandbytes with much better performance. Kernels are from https://github.com/NetEase-FuXi/EETQ.git
- gptq: 4 bit quantization. Requires a specific GTPQ quantized model: https://hf.co/models?search=gptq. text-generation-inference will use exllama (faster) kernels whereever possible, and use triton kernel (wider support) when it's not. AWQ has faster kernels
- bitsandbytes: Bitsandbytes 8bit. Can be applied on any model, will cut the memory requirement in half, but it is known that the model will be much slower to run than the native f16
- bitsandbytes-nf4: Bitsandbytes 4bit. Can be applied on any model, will cut the memory requirement by 4x, but it is known that the model will be much slower to run than the native f16
- bitsandbytes-fp4: Bitsandbytes 4bit. nf4 should be preferred in most cases but maybe this one has better perplexity performance for you model
--dtype <DTYPE> --dtype <DTYPE>
The dtype to be forced upon the model. This option cannot be used with `--quantize` The dtype to be forced upon the model. This option cannot be used with `--quantize`
[env: DTYPE=] [env: DTYPE=]
[possible values: float16, b-float16] [possible values: float16, bfloat16]
--trust-remote-code --trust-remote-code
Whether you want to execute hub modelling code. Explicitly passing a `revision` is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision Whether you want to execute hub modelling code. Explicitly passing a `revision` is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision
@ -62,6 +75,12 @@ Options:
[env: MAX_STOP_SEQUENCES=] [env: MAX_STOP_SEQUENCES=]
[default: 4] [default: 4]
--max-top-n-tokens <MAX_TOP_N_TOKENS>
This is the maximum allowed value for clients to set `top_n_tokens`. `top_n_tokens is used to return information about the the `n` most likely tokens at each generation step, instead of just the sampled token. This information can be used for downstream tasks like for classification or ranking
[env: MAX_TOP_N_TOKENS=]
[default: 5]
--max-input-length <MAX_INPUT_LENGTH> --max-input-length <MAX_INPUT_LENGTH>
This is the maximum allowed input length (expressed in number of tokens) for users. The larger this value, the longer prompt users can send which can impact the overall memory required to handle the load. Please note that some models have a finite range of sequence they can handle This is the maximum allowed input length (expressed in number of tokens) for users. The larger this value, the longer prompt users can send which can impact the overall memory required to handle the load. Please note that some models have a finite range of sequence they can handle
@ -100,7 +119,6 @@ Options:
Overall this number should be the largest possible amount that fits the remaining memory (after the model is loaded). Since the actual memory overhead depends on other parameters like if you're using quantization, flash attention or the model implementation, text-generation-inference cannot infer this number automatically. Overall this number should be the largest possible amount that fits the remaining memory (after the model is loaded). Since the actual memory overhead depends on other parameters like if you're using quantization, flash attention or the model implementation, text-generation-inference cannot infer this number automatically.
[env: MAX_BATCH_TOTAL_TOKENS=] [env: MAX_BATCH_TOTAL_TOKENS=]
[default: 16000]
--max-waiting-tokens <MAX_WAITING_TOKENS> --max-waiting-tokens <MAX_WAITING_TOKENS>
This setting defines how many tokens can be passed before forcing the waiting queries to be put on the batch (if the size of the batch allows for it). New queries require 1 `prefill` forward, which is different from `decode` and therefore you need to pause the running batch in order to run `prefill` to create the correct values for the waiting queries to be able to join the batch. This setting defines how many tokens can be passed before forcing the waiting queries to be put on the batch (if the size of the batch allows for it). New queries require 1 `prefill` forward, which is different from `decode` and therefore you need to pause the running batch in order to run `prefill` to create the correct values for the waiting queries to be able to join the batch.
@ -114,6 +132,12 @@ Options:
[env: MAX_WAITING_TOKENS=] [env: MAX_WAITING_TOKENS=]
[default: 20] [default: 20]
--hostname <HOSTNAME>
The IP address to listen on
[env: HOSTNAME=]
[default: 0.0.0.0]
-p, --port <PORT> -p, --port <PORT>
The port to listen on The port to listen on
@ -153,6 +177,29 @@ Options:
[env: DISABLE_CUSTOM_KERNELS=] [env: DISABLE_CUSTOM_KERNELS=]
--cuda-memory-fraction <CUDA_MEMORY_FRACTION>
Limit the CUDA available memory. The allowed value equals the total visible memory multiplied by cuda-memory-fraction
[env: CUDA_MEMORY_FRACTION=]
[default: 1.0]
--rope-scaling <ROPE_SCALING>
Rope scaling will only be used for RoPE models and allow rescaling the position rotary to accomodate for larger prompts.
Goes together with `rope_factor`.
`--rope-factor 2.0` gives linear scaling with a factor of 2.0 `--rope-scaling dynamic` gives dynamic scaling with a factor of 1.0 `--rope-scaling linear` gives linear scaling with a factor of 1.0 (Nothing will be changed basically)
`--rope-scaling linear --rope-factor` fully describes the scaling you want
[env: ROPE_SCALING=]
[possible values: linear, dynamic]
--rope-factor <ROPE_FACTOR>
Rope scaling will only be used for RoPE models See `rope_scaling`
[env: ROPE_FACTOR=]
--json-output --json-output
Outputs the logs in JSON format (useful for telemetry) Outputs the logs in JSON format (useful for telemetry)
@ -180,20 +227,10 @@ Options:
[env: NGROK_AUTHTOKEN=] [env: NGROK_AUTHTOKEN=]
--ngrok-domain <NGROK_DOMAIN> --ngrok-edge <NGROK_EDGE>
ngrok domain name where the axum webserver will be available at ngrok edge
[env: NGROK_DOMAIN=] [env: NGROK_EDGE=]
--ngrok-username <NGROK_USERNAME>
ngrok basic auth username
[env: NGROK_USERNAME=]
--ngrok-password <NGROK_PASSWORD>
ngrok basic auth password
[env: NGROK_PASSWORD=]
-e, --env -e, --env
Display a lot of information about your runtime environment Display a lot of information about your runtime environment