Upgrade outlines to 0.1.1
This commit is contained in:
Alex Weston
Nicolas Patry
parent
90b226db29
commit
0721649fc6
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@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
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[[package]]
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name = "accelerate"
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@ -167,6 +167,17 @@ files = [
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[package.dependencies]
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frozenlist = ">=1.1.0"
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[[package]]
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name = "airportsdata"
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version = "20241001"
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description = "Extensive database of location and timezone data for nearly every airport and landing strip in the world."
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optional = true
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python-versions = ">=3.9"
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files = [
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{file = "airportsdata-20241001-py3-none-any.whl", hash = "sha256:67d71cf2c5378cc17ff66b62b1e11aa2444043949c894543ac8fd8dafce192fd"},
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{file = "airportsdata-20241001.tar.gz", hash = "sha256:fa0bd143b4f4be3557cb892fa0612ef210fd91a92bd720b4d8221de576a4fa00"},
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]
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[[package]]
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name = "annotated-types"
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version = "0.7.0"
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@ -518,88 +529,103 @@ typing = ["typing-extensions (>=4.12.2)"]
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[[package]]
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name = "frozenlist"
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version = "1.4.1"
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version = "1.5.0"
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description = "A list-like structure which implements collections.abc.MutableSequence"
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optional = true
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python-versions = ">=3.8"
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{file = "frozenlist-1.5.0-cp39-cp39-win32.whl", hash = "sha256:666534d15ba8f0fda3f53969117383d5dc021266b3c1a42c9ec4855e4b58b9d3"},
|
||||
{file = "frozenlist-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:5c28f4b5dbef8a0d8aad0d4de24d1e9e981728628afaf4ea0792f5d0939372f0"},
|
||||
{file = "frozenlist-1.5.0-py3-none-any.whl", hash = "sha256:d994863bba198a4a518b467bb971c56e1db3f180a25c6cf7bb1949c267f748c3"},
|
||||
{file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -1008,17 +1034,6 @@ MarkupSafe = ">=2.0"
|
|||
[package.extras]
|
||||
i18n = ["Babel (>=2.7)"]
|
||||
|
||||
[[package]]
|
||||
name = "joblib"
|
||||
version = "1.4.2"
|
||||
description = "Lightweight pipelining with Python functions"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
|
||||
{file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jsonschema"
|
||||
version = "4.23.0"
|
||||
|
|
@ -1071,36 +1086,6 @@ interegular = ["interegular (>=0.3.1,<0.4.0)"]
|
|||
nearley = ["js2py"]
|
||||
regex = ["regex"]
|
||||
|
||||
[[package]]
|
||||
name = "llvmlite"
|
||||
version = "0.43.0"
|
||||
description = "lightweight wrapper around basic LLVM functionality"
|
||||
optional = true
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "llvmlite-0.43.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a289af9a1687c6cf463478f0fa8e8aa3b6fb813317b0d70bf1ed0759eab6f761"},
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||||
{file = "llvmlite-0.43.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d4fd101f571a31acb1559ae1af30f30b1dc4b3186669f92ad780e17c81e91bc"},
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||||
{file = "llvmlite-0.43.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7d434ec7e2ce3cc8f452d1cd9a28591745de022f931d67be688a737320dfcead"},
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||||
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||||
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||||
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||||
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|
||||
{file = "llvmlite-0.43.0-cp311-cp311-win_amd64.whl", hash = "sha256:d5bd550001d26450bd90777736c69d68c487d17bf371438f975229b2b8241a91"},
|
||||
{file = "llvmlite-0.43.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f99b600aa7f65235a5a05d0b9a9f31150c390f31261f2a0ba678e26823ec38f7"},
|
||||
{file = "llvmlite-0.43.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:35d80d61d0cda2d767f72de99450766250560399edc309da16937b93d3b676e7"},
|
||||
{file = "llvmlite-0.43.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eccce86bba940bae0d8d48ed925f21dbb813519169246e2ab292b5092aba121f"},
|
||||
{file = "llvmlite-0.43.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df6509e1507ca0760787a199d19439cc887bfd82226f5af746d6977bd9f66844"},
|
||||
{file = "llvmlite-0.43.0-cp312-cp312-win_amd64.whl", hash = "sha256:7a2872ee80dcf6b5dbdc838763d26554c2a18aa833d31a2635bff16aafefb9c9"},
|
||||
{file = "llvmlite-0.43.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9cd2a7376f7b3367019b664c21f0c61766219faa3b03731113ead75107f3b66c"},
|
||||
{file = "llvmlite-0.43.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:18e9953c748b105668487b7c81a3e97b046d8abf95c4ddc0cd3c94f4e4651ae8"},
|
||||
{file = "llvmlite-0.43.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74937acd22dc11b33946b67dca7680e6d103d6e90eeaaaf932603bec6fe7b03a"},
|
||||
{file = "llvmlite-0.43.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc9efc739cc6ed760f795806f67889923f7274276f0eb45092a1473e40d9b867"},
|
||||
{file = "llvmlite-0.43.0-cp39-cp39-win_amd64.whl", hash = "sha256:47e147cdda9037f94b399bf03bfd8a6b6b1f2f90be94a454e3386f006455a9b4"},
|
||||
{file = "llvmlite-0.43.0.tar.gz", hash = "sha256:ae2b5b5c3ef67354824fb75517c8db5fbe93bc02cd9671f3c62271626bc041d5"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "loguru"
|
||||
version = "0.6.0"
|
||||
|
|
@ -1542,40 +1527,6 @@ doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.
|
|||
extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"]
|
||||
test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "numba"
|
||||
version = "0.60.0"
|
||||
description = "compiling Python code using LLVM"
|
||||
optional = true
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "numba-0.60.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d761de835cd38fb400d2c26bb103a2726f548dc30368853121d66201672e651"},
|
||||
{file = "numba-0.60.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:159e618ef213fba758837f9837fb402bbe65326e60ba0633dbe6c7f274d42c1b"},
|
||||
{file = "numba-0.60.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1527dc578b95c7c4ff248792ec33d097ba6bef9eda466c948b68dfc995c25781"},
|
||||
{file = "numba-0.60.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fe0b28abb8d70f8160798f4de9d486143200f34458d34c4a214114e445d7124e"},
|
||||
{file = "numba-0.60.0-cp310-cp310-win_amd64.whl", hash = "sha256:19407ced081d7e2e4b8d8c36aa57b7452e0283871c296e12d798852bc7d7f198"},
|
||||
{file = "numba-0.60.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a17b70fc9e380ee29c42717e8cc0bfaa5556c416d94f9aa96ba13acb41bdece8"},
|
||||
{file = "numba-0.60.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3fb02b344a2a80efa6f677aa5c40cd5dd452e1b35f8d1c2af0dfd9ada9978e4b"},
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||||
{file = "numba-0.60.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5f4fde652ea604ea3c86508a3fb31556a6157b2c76c8b51b1d45eb40c8598703"},
|
||||
{file = "numba-0.60.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4142d7ac0210cc86432b818338a2bc368dc773a2f5cf1e32ff7c5b378bd63ee8"},
|
||||
{file = "numba-0.60.0-cp311-cp311-win_amd64.whl", hash = "sha256:cac02c041e9b5bc8cf8f2034ff6f0dbafccd1ae9590dc146b3a02a45e53af4e2"},
|
||||
{file = "numba-0.60.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d7da4098db31182fc5ffe4bc42c6f24cd7d1cb8a14b59fd755bfee32e34b8404"},
|
||||
{file = "numba-0.60.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:38d6ea4c1f56417076ecf8fc327c831ae793282e0ff51080c5094cb726507b1c"},
|
||||
{file = "numba-0.60.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:62908d29fb6a3229c242e981ca27e32a6e606cc253fc9e8faeb0e48760de241e"},
|
||||
{file = "numba-0.60.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0ebaa91538e996f708f1ab30ef4d3ddc344b64b5227b67a57aa74f401bb68b9d"},
|
||||
{file = "numba-0.60.0-cp312-cp312-win_amd64.whl", hash = "sha256:f75262e8fe7fa96db1dca93d53a194a38c46da28b112b8a4aca168f0df860347"},
|
||||
{file = "numba-0.60.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:01ef4cd7d83abe087d644eaa3d95831b777aa21d441a23703d649e06b8e06b74"},
|
||||
{file = "numba-0.60.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:819a3dfd4630d95fd574036f99e47212a1af41cbcb019bf8afac63ff56834449"},
|
||||
{file = "numba-0.60.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b983bd6ad82fe868493012487f34eae8bf7dd94654951404114f23c3466d34b"},
|
||||
{file = "numba-0.60.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c151748cd269ddeab66334bd754817ffc0cabd9433acb0f551697e5151917d25"},
|
||||
{file = "numba-0.60.0-cp39-cp39-win_amd64.whl", hash = "sha256:3031547a015710140e8c87226b4cfe927cac199835e5bf7d4fe5cb64e814e3ab"},
|
||||
{file = "numba-0.60.0.tar.gz", hash = "sha256:5df6158e5584eece5fc83294b949fd30b9f1125df7708862205217e068aabf16"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
llvmlite = "==0.43.*"
|
||||
numpy = ">=1.22,<2.1"
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "1.26.4"
|
||||
|
|
@ -1953,36 +1904,83 @@ opentelemetry-api = "1.25.0"
|
|||
|
||||
[[package]]
|
||||
name = "outlines"
|
||||
version = "0.0.34"
|
||||
version = "0.1.1"
|
||||
description = "Probabilistic Generative Model Programming"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "outlines-0.0.34-py3-none-any.whl", hash = "sha256:911588a7e64a4f193b97fb4c501d98ccfd4e95a98f6a3ada67a280bf0c373c50"},
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||||
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|
||||
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|
||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
airportsdata = "*"
|
||||
cloudpickle = "*"
|
||||
datasets = "*"
|
||||
diskcache = "*"
|
||||
interegular = "*"
|
||||
jinja2 = "*"
|
||||
joblib = "*"
|
||||
jsonschema = "*"
|
||||
lark = "*"
|
||||
nest-asyncio = "*"
|
||||
numba = "*"
|
||||
numpy = "*"
|
||||
numpy = "<2.0.0"
|
||||
outlines-core = "0.1.14"
|
||||
pycountry = "*"
|
||||
pydantic = ">=2.0"
|
||||
referencing = "*"
|
||||
requests = "*"
|
||||
scipy = "*"
|
||||
torch = ">=2.1.0"
|
||||
transformers = "*"
|
||||
torch = "*"
|
||||
tqdm = "*"
|
||||
typing-extensions = "*"
|
||||
|
||||
[package.extras]
|
||||
serve = ["fastapi", "pydantic (>=2.0)", "ray (==2.9.0)", "uvicorn", "vllm (>=0.3.0)"]
|
||||
test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "huggingface-hub", "llama-cpp-python (>=0.2.42)", "pre-commit", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "responses", "transformers"]
|
||||
serve = ["fastapi", "pydantic (>=2.0)", "uvicorn", "vllm (>=0.3.0)"]
|
||||
test = ["accelerate", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "diff-cover", "exllamav2", "huggingface-hub", "llama-cpp-python", "mlx-lm", "openai (>=1.0.0)", "pillow", "pre-commit", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "responses", "transformers", "vllm"]
|
||||
|
||||
[[package]]
|
||||
name = "outlines-core"
|
||||
version = "0.1.14"
|
||||
description = "Structured Text Generation in Rust"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
{file = "outlines_core-0.1.14-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5829c568db76673d36caaf0f86e96748b491b4a209deb9be87617372394a5fb9"},
|
||||
{file = "outlines_core-0.1.14-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7e855ec99bce1099c0755bcbfa44568adf7ae0083905ba04f58a17614ddf0fe7"},
|
||||
{file = "outlines_core-0.1.14-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b897cfbf9c2719aa011d9b439b4c6751d9c7df5683b2169617972d4b4a914403"},
|
||||
{file = "outlines_core-0.1.14-cp38-cp38-win32.whl", hash = "sha256:4c9d908004b31bcd432156d60f4895bf5e1b51ca8c8eed82b12f1bb57d5bf7fd"},
|
||||
{file = "outlines_core-0.1.14-cp38-cp38-win_amd64.whl", hash = "sha256:6668a930d928216d0b319ad84947903f1e27556f604a9743051f795b11008b64"},
|
||||
{file = "outlines_core-0.1.14-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b745aa469cf3fb347b79a257804d75d1324e01691158664c1e413a816ce6b98d"},
|
||||
{file = "outlines_core-0.1.14-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:27504c8360467429d6223ebc49180d6956d7418bfc3d324f6ad10f069e1813ad"},
|
||||
{file = "outlines_core-0.1.14-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd8f1e1d91a206a520d1c577ce00136de2beb1d200ef93759fd4c9f45abe24d3"},
|
||||
{file = "outlines_core-0.1.14-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f30c8acb42895b624c504b85678331c5f9376fa4b8069ce06a27cf80f5881e27"},
|
||||
{file = "outlines_core-0.1.14-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0e6cd0e7d995a7b04d90139a695279ab4a9eb7f492618b2c037a85eaf5f9fc59"},
|
||||
{file = "outlines_core-0.1.14-cp39-cp39-win32.whl", hash = "sha256:3104af4084da0e7c3d4b8538b43c725581d66bb68d426bc389680f06c3667476"},
|
||||
{file = "outlines_core-0.1.14-cp39-cp39-win_amd64.whl", hash = "sha256:45c6b9baded0337c4dcfa156af05ec4efd2b25c4d976e77be28146e4037b991f"},
|
||||
{file = "outlines_core-0.1.14.tar.gz", hash = "sha256:6db033e4f8e48381164e36cc716746640ad5022f0d86e4c88af15c75886b93a4"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
interegular = "*"
|
||||
jsonschema = "*"
|
||||
|
||||
[package.extras]
|
||||
test = ["accelerate", "asv", "beartype (<0.16.0)", "coverage[toml] (>=5.1)", "datasets", "diff-cover", "huggingface-hub", "pillow", "pre-commit", "pydantic", "pytest", "pytest-benchmark", "pytest-cov", "pytest-mock", "setuptools-rust", "torch", "transformers"]
|
||||
|
||||
[[package]]
|
||||
name = "packaging"
|
||||
|
|
@ -2455,6 +2453,17 @@ numpy = ">=1.16.6"
|
|||
[package.extras]
|
||||
test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
|
||||
|
||||
[[package]]
|
||||
name = "pycountry"
|
||||
version = "24.6.1"
|
||||
description = "ISO country, subdivision, language, currency and script definitions and their translations"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pycountry-24.6.1-py3-none-any.whl", hash = "sha256:f1a4fb391cd7214f8eefd39556d740adcc233c778a27f8942c8dca351d6ce06f"},
|
||||
{file = "pycountry-24.6.1.tar.gz", hash = "sha256:b61b3faccea67f87d10c1f2b0fc0be714409e8fcdcc1315613174f6466c10221"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pydantic"
|
||||
version = "2.9.2"
|
||||
|
|
@ -3466,13 +3475,13 @@ telegram = ["requests"]
|
|||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.45.2"
|
||||
version = "4.46.0"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "transformers-4.45.2-py3-none-any.whl", hash = "sha256:c551b33660cfc815bae1f9f097ecfd1e65be623f13c6ee0dda372bd881460210"},
|
||||
{file = "transformers-4.45.2.tar.gz", hash = "sha256:72bc390f6b203892561f05f86bbfaa0e234aab8e927a83e62b9d92ea7e3ae101"},
|
||||
{file = "transformers-4.46.0-py3-none-any.whl", hash = "sha256:e161268ae8bee315eb9e9b4c0b27f1bd6980f91e0fc292d75249193d339704c0"},
|
||||
{file = "transformers-4.46.0.tar.gz", hash = "sha256:3a9e2eb537094db11c3652334d281afa4766c0e5091c4dcdb454e9921bb0d2b7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3490,13 +3499,13 @@ tqdm = ">=4.27"
|
|||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.26.0)"]
|
||||
agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
|
||||
all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
|
||||
all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
benchmark = ["optimum-benchmark (>=0.3.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.20,<0.21)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
||||
|
|
@ -3530,7 +3539,7 @@ torch = ["accelerate (>=0.26.0)", "torch"]
|
|||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
video = ["av (==9.2.0)"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -3967,4 +3976,4 @@ torch = ["torch"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9,<3.13"
|
||||
content-hash = "b39033e573f50a0f046787aebf1702d86673aad0b2fcee818404fcea7f644b81"
|
||||
content-hash = "5b2536579dd1d4013da43c5260666cab1c6575c8c1dd6ebb1ccfd5dc0f2874fd"
|
||||
|
|
|
|||
|
|
@ -34,7 +34,7 @@ peft = { version = "^0.10", optional = true }
|
|||
torch = { version = "^2.4.0", optional = true }
|
||||
scipy = "^1.11.1"
|
||||
pillow = "^10.0.0"
|
||||
outlines= { version = "^0.0.34", optional = true }
|
||||
outlines= { version = "^0.1.1", optional = true }
|
||||
prometheus-client = "^0.20.0"
|
||||
py-cpuinfo = "^9.0.0"
|
||||
# Remove later, temporary workaround for outlines.
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@ from loguru import logger
|
|||
from typing import Dict, Union
|
||||
from text_generation_server.pb.generate_pb2 import GrammarType
|
||||
|
||||
from outlines.fsm.fsm import RegexFSM
|
||||
from outlines.fsm.guide import RegexGuide
|
||||
from outlines.fsm.json_schema import build_regex_from_schema
|
||||
from functools import lru_cache
|
||||
from typing import List, Optional, DefaultDict
|
||||
|
|
@ -482,7 +482,7 @@ class HeterogeneousProcessorWrapper(LogitsProcessor):
|
|||
|
||||
class GrammarLogitProcessor(LogitsProcessor):
|
||||
fsm_state: DefaultDict[int, int]
|
||||
fsm: RegexFSM
|
||||
fsm: RegexGuide
|
||||
|
||||
def __init__(self, tokenizer, device, grammar, grammar_type):
|
||||
self.device = device
|
||||
|
|
@ -530,7 +530,7 @@ class GrammarLogitProcessor(LogitsProcessor):
|
|||
schema = "(.*?)"
|
||||
elif grammar_type == GrammarType.GRAMMAR_TYPE_REGEX:
|
||||
pass # schema is already a regex just here for clarity
|
||||
fsm = RegexFSM(schema, tokenizer)
|
||||
fsm = RegexGuide.from_regex(schema, tokenizer)
|
||||
logger.debug(f"Compiled FSM in {time.time() - start_time:.2f}s")
|
||||
return fsm
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue