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use ctransformers as backup to llama-cpp

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This commit is contained in:
Michael Yang 2023-06-28 17:25:24 -07:00
parent 5cea13ce00
commit 4d0eb7639a
8 changed files with 791 additions and 37 deletions
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118
ollama/engine.py
View file

@ -2,25 +2,79 @@ import os
import sys import sys
from os import path from os import path
from contextlib import contextmanager from contextlib import contextmanager
from llama_cpp import Llama as LLM from fuzzywuzzy import process
from llama_cpp import Llama
from ctransformers import AutoModelForCausalLM
import ollama.prompt import ollama.prompt
from ollama.model import models_home from ollama.model import models_home
@contextmanager @contextmanager
def suppress_stderr(): def suppress(file):
stderr = os.dup(sys.stderr.fileno()) original = os.dup(file.fileno())
with open(os.devnull, "w") as devnull: with open(os.devnull, "w") as devnull:
os.dup2(devnull.fileno(), sys.stderr.fileno()) os.dup2(devnull.fileno(), file.fileno())
yield yield
os.dup2(stderr, sys.stderr.fileno()) os.dup2(original, file.fileno())
def generate(model_name, prompt, models={}, *args, **kwargs): def generate(model_name, prompt, models={}, *args, **kwargs):
model = load(model_name, models=models)
inputs = ollama.prompt.template(model_name, prompt)
return model.generate(inputs, *args, **kwargs)
def load(model_name, models={}):
if not models.get(model_name, None):
model_path = path.expanduser(model_name)
if not path.exists(model_path):
model_path = path.join(models_home, model_name + ".bin")
runners = {
model_type: cls
for cls in [LlamaCppRunner, CtransformerRunner]
for model_type in cls.model_types()
}
best_match, _ = process.extractOne(model_path, runners.keys())
model = runners.get(best_match, LlamaCppRunner)
models.update({model_name: model(model_path, best_match)})
return models.get(model_name)
def unload(model_name, models={}):
if model_name in models:
models.pop(model_name)
class LlamaCppRunner:
def __init__(self, model_path, model_type):
try:
with suppress(sys.stderr), suppress(sys.stdout):
self.model = Llama(model_path,
verbose=False,
n_gpu_layers=1,
seed=-1)
except Exception:
raise Exception("Failed to load model", model_path, model_type)
@staticmethod
def model_types():
return [
'llama',
'orca',
'vicuna',
'ultralm',
]
def generate(self, prompt, *args, **kwargs):
if "max_tokens" not in kwargs: if "max_tokens" not in kwargs:
kwargs.update({"max_tokens": 16384}) kwargs.update({"max_tokens": 512})
if "stop" not in kwargs: if "stop" not in kwargs:
kwargs.update({"stop": ["Q:"]}) kwargs.update({"stop": ["Q:"]})
@ -28,32 +82,40 @@ def generate(model_name, prompt, models={}, *args, **kwargs):
if "stream" not in kwargs: if "stream" not in kwargs:
kwargs.update({"stream": True}) kwargs.update({"stream": True})
prompt = ollama.prompt.template(model_name, prompt) with suppress(sys.stderr):
for output in self.model(prompt, *args, **kwargs):
model = load(model_name, models=models)
for output in model.create_completion(prompt, *args, **kwargs):
yield output yield output
def load(model_name, models={}): class CtransformerRunner:
model = models.get(model_name, None)
if not model:
model_path = path.expanduser(model_name)
if not path.exists(model_path):
model_path = path.join(models_home, model_name + ".bin")
try: def __init__(self, model_path, model_type):
# suppress LLM's output self.model = AutoModelForCausalLM.from_pretrained(
with suppress_stderr(): model_path, model_type=model_type, local_files_only=True)
model = LLM(model_path, verbose=False)
models.update({model_name: model})
except Exception:
# e is sent to devnull, so create a generic exception
raise Exception(f"Failed to load model: {model}")
return model @staticmethod
def model_types():
return [
'falcon',
'mpt',
'starcoder',
]
def generate(self, prompt, *args, **kwargs):
if "max_new_tokens" not in kwargs:
kwargs.update({"max_new_tokens": 512})
def unload(model_name, models={}): if "stop" not in kwargs:
if model_name in models: kwargs.update({"stop": ["User"]})
models.pop(model_name)
if "stream" not in kwargs:
kwargs.update({"stream": True})
for output in self.model(prompt, *args, **kwargs):
yield {
'choices': [
{
'text': output,
},
],
}

3
ollama/templates/falcon.prompt Normal file
View file

@ -0,0 +1,3 @@
A helpful assistant who helps the user with any questions asked.
User: {{ prompt }}
Assistant:

4
ollama/templates/mpt.prompt Normal file
View file

@ -0,0 +1,4 @@
Below is an instruction that describes a task. Write a response that appropriately completes the request. Be concise. Once the request is completed, include no other text.
### Instruction:
{{ prompt }}
### Response:

2
ollama/templates/ultralm.prompt Normal file
View file

@ -0,0 +1,2 @@
USER: {{ prompt }}
ASSISTANT:

5
ollama/templates/wizardcoder.prompt Normal file
View file

@ -0,0 +1,5 @@
Below is an instruction that describes a task. Write a response that appropriately completes the request
### Instruction: {{ prompt }}
### Response:

417
poetry.lock generated
View file

@ -271,6 +271,23 @@ files = [
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
] ]
[[package]]
name = "ctransformers"
version = "0.2.10"
description = "Python bindings for the Transformer models implemented in C/C++ using GGML library."
optional = false
python-versions = "*"
files = [
{file = "ctransformers-0.2.10-py3-none-any.whl", hash = "sha256:912a80859bd252e2a389b4716d44b0663657148a85fbfbe6c5503a7ee69fd235"},
{file = "ctransformers-0.2.10.tar.gz", hash = "sha256:d82a299690f1494fe93db136f71b1b9b2cd4ada535e2afa07aaee1d180117a2d"},
]
[package.dependencies]
huggingface-hub = "*"
[package.extras]
tests = ["pytest"]
[[package]] [[package]]
name = "decorator" name = "decorator"
version = "5.1.1" version = "5.1.1"
@ -293,6 +310,21 @@ files = [
{file = "diskcache-5.6.1.tar.gz", hash = "sha256:e4c978532feff5814c4cc00fe1e11e40501985946643d73220d41ee7737c72c3"}, {file = "diskcache-5.6.1.tar.gz", hash = "sha256:e4c978532feff5814c4cc00fe1e11e40501985946643d73220d41ee7737c72c3"},
] ]
[[package]]
name = "filelock"
version = "3.12.2"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.7"
files = [
{file = "filelock-3.12.2-py3-none-any.whl", hash = "sha256:cbb791cdea2a72f23da6ac5b5269ab0a0d161e9ef0100e653b69049a7706d1ec"},
{file = "filelock-3.12.2.tar.gz", hash = "sha256:002740518d8aa59a26b0c76e10fb8c6e15eae825d34b6fdf670333fd7b938d81"},
]
[package.extras]
docs = ["furo (>=2023.5.20)", "sphinx (>=7.0.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "diff-cover (>=7.5)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
[[package]] [[package]]
name = "frozenlist" name = "frozenlist"
version = "1.3.3" version = "1.3.3"
@ -376,6 +408,89 @@ files = [
{file = "frozenlist-1.3.3.tar.gz", hash = "sha256:58bcc55721e8a90b88332d6cd441261ebb22342e238296bb330968952fbb3a6a"}, {file = "frozenlist-1.3.3.tar.gz", hash = "sha256:58bcc55721e8a90b88332d6cd441261ebb22342e238296bb330968952fbb3a6a"},
] ]
[[package]]
name = "fsspec"
version = "2023.6.0"
description = "File-system specification"
optional = false
python-versions = ">=3.8"
files = [
{file = "fsspec-2023.6.0-py3-none-any.whl", hash = "sha256:1cbad1faef3e391fba6dc005ae9b5bdcbf43005c9167ce78c915549c352c869a"},
{file = "fsspec-2023.6.0.tar.gz", hash = "sha256:d0b2f935446169753e7a5c5c55681c54ea91996cc67be93c39a154fb3a2742af"},
]
[package.extras]
abfs = ["adlfs"]
adl = ["adlfs"]
arrow = ["pyarrow (>=1)"]
dask = ["dask", "distributed"]
devel = ["pytest", "pytest-cov"]
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
fuse = ["fusepy"]
gcs = ["gcsfs"]
git = ["pygit2"]
github = ["requests"]
gs = ["gcsfs"]
gui = ["panel"]
hdfs = ["pyarrow (>=1)"]
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
libarchive = ["libarchive-c"]
oci = ["ocifs"]
s3 = ["s3fs"]
sftp = ["paramiko"]
smb = ["smbprotocol"]
ssh = ["paramiko"]
tqdm = ["tqdm"]
[[package]]
name = "fuzzywuzzy"
version = "0.18.0"
description = "Fuzzy string matching in python"
optional = false
python-versions = "*"
files = [
{file = "fuzzywuzzy-0.18.0-py2.py3-none-any.whl", hash = "sha256:928244b28db720d1e0ee7587acf660ea49d7e4c632569cad4f1cd7e68a5f0993"},
{file = "fuzzywuzzy-0.18.0.tar.gz", hash = "sha256:45016e92264780e58972dca1b3d939ac864b78437422beecebb3095f8efd00e8"},
]
[package.dependencies]
python-levenshtein = {version = ">=0.12", optional = true, markers = "extra == \"speedup\""}
[package.extras]
speedup = ["python-levenshtein (>=0.12)"]
[[package]]
name = "huggingface-hub"
version = "0.15.1"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.7.0"
files = [
{file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
{file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
]
[package.dependencies]
filelock = "*"
fsspec = "*"
packaging = ">=20.9"
pyyaml = ">=5.1"
requests = "*"
tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
cli = ["InquirerPy (==0.3.4)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
quality = ["black (>=23.1,<24.0)", "mypy (==0.982)", "ruff (>=0.0.241)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["torch"]
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
[[package]] [[package]]
name = "idna" name = "idna"
version = "3.4" version = "3.4"
@ -404,23 +519,137 @@ MarkupSafe = ">=2.0"
[package.extras] [package.extras]
i18n = ["Babel (>=2.7)"] i18n = ["Babel (>=2.7)"]
[[package]]
name = "levenshtein"
version = "0.21.1"
description = "Python extension for computing string edit distances and similarities."
optional = false
python-versions = ">=3.6"
files = [
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]
[package.extras]
full = ["numpy"]
[[package]] [[package]]
name = "requests" name = "requests"
version = "2.31.0" version = "2.31.0"
@ -804,4 +1211,4 @@ termcolor = ">=2.2,<3.0"
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.8" python-versions = "^3.8"
content-hash = "76a09c53830f5066a8fbdfb93b90c8847e3e60dbeb8989fc1c167a8e3a41d90d" content-hash = "bd4b373e3903bd26b983163f3cc527a6f768f4280201fcbca4d4dc05dea66912"

4
pyproject.toml
View file

@ -9,7 +9,6 @@ scripts = {ollama = "ollama.cmd.cli:main"}
[tool.poetry.dependencies] [tool.poetry.dependencies]
python = "^3.8" python = "^3.8"
llama-cpp-python = "^0.1.66"
aiohttp = "^3.8.4" aiohttp = "^3.8.4"
aiohttp-cors = "^0.7.0" aiohttp-cors = "^0.7.0"
jinja2 = "^3.1.2" jinja2 = "^3.1.2"
@ -17,6 +16,9 @@ requests = "^2.31.0"
tqdm = "^4.65.0" tqdm = "^4.65.0"
validators = "^0.20.0" validators = "^0.20.0"
yaspin = "^2.3.0" yaspin = "^2.3.0"
llama-cpp-python = "^0.1.67"
ctransformers = "^0.2.10"
fuzzywuzzy = {extras = ["speedup"], version = "^0.18.0"}
[build-system] [build-system]
requires = ["poetry-core"] requires = ["poetry-core"]

273
requirements.txt
View file

@ -180,9 +180,18 @@ charset-normalizer==3.1.0 ; python_version >= "3.8" and python_version < "4.0" \
colorama==0.4.6 ; python_version >= "3.8" and python_version < "4.0" and platform_system == "Windows" \ colorama==0.4.6 ; python_version >= "3.8" and python_version < "4.0" and platform_system == "Windows" \
--hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \ --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
--hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6 --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
ctransformers==0.2.10 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:912a80859bd252e2a389b4716d44b0663657148a85fbfbe6c5503a7ee69fd235 \
--hash=sha256:d82a299690f1494fe93db136f71b1b9b2cd4ada535e2afa07aaee1d180117a2d
decorator==5.1.1 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330 \
--hash=sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186
diskcache==5.6.1 ; python_version >= "3.8" and python_version < "4.0" \ diskcache==5.6.1 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:558c6a2d5d7c721bb00e40711803d6804850c9f76c426ed81ecc627fe9d2ce2d \ --hash=sha256:558c6a2d5d7c721bb00e40711803d6804850c9f76c426ed81ecc627fe9d2ce2d \
--hash=sha256:e4c978532feff5814c4cc00fe1e11e40501985946643d73220d41ee7737c72c3 --hash=sha256:e4c978532feff5814c4cc00fe1e11e40501985946643d73220d41ee7737c72c3
filelock==3.12.2 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:002740518d8aa59a26b0c76e10fb8c6e15eae825d34b6fdf670333fd7b938d81 \
--hash=sha256:cbb791cdea2a72f23da6ac5b5269ab0a0d161e9ef0100e653b69049a7706d1ec
frozenlist==1.3.3 ; python_version >= "3.8" and python_version < "4.0" \ frozenlist==1.3.3 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:008a054b75d77c995ea26629ab3a0c0d7281341f2fa7e1e85fa6153ae29ae99c \ --hash=sha256:008a054b75d77c995ea26629ab3a0c0d7281341f2fa7e1e85fa6153ae29ae99c \
--hash=sha256:02c9ac843e3390826a265e331105efeab489ffaf4dd86384595ee8ce6d35ae7f \ --hash=sha256:02c9ac843e3390826a265e331105efeab489ffaf4dd86384595ee8ce6d35ae7f \
@ -258,14 +267,126 @@ frozenlist==1.3.3 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:f30f1928162e189091cf4d9da2eac617bfe78ef907a761614ff577ef4edfb3c8 \ --hash=sha256:f30f1928162e189091cf4d9da2eac617bfe78ef907a761614ff577ef4edfb3c8 \
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fsspec==2023.6.0 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:1cbad1faef3e391fba6dc005ae9b5bdcbf43005c9167ce78c915549c352c869a \
--hash=sha256:d0b2f935446169753e7a5c5c55681c54ea91996cc67be93c39a154fb3a2742af
fuzzywuzzy[speedup]==0.18.0 ; python_version >= "3.8" and python_version < "4.0" \
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--hash=sha256:928244b28db720d1e0ee7587acf660ea49d7e4c632569cad4f1cd7e68a5f0993
huggingface-hub==0.15.1 ; python_version >= "3.8" and python_version < "4.0" \
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--hash=sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081
idna==3.4 ; python_version >= "3.8" and python_version < "4.0" \ idna==3.4 ; python_version >= "3.8" and python_version < "4.0" \
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jinja2==3.1.2 ; python_version >= "3.8" and python_version < "4.0" \ jinja2==3.1.2 ; python_version >= "3.8" and python_version < "4.0" \
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llama-cpp-python==0.1.66 ; python_version >= "3.8" and python_version < "4.0" \ levenshtein==0.21.1 ; python_version >= "3.8" and python_version < "4.0" \
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markupsafe==2.1.3 ; python_version >= "3.8" and python_version < "4.0" \ markupsafe==2.1.3 ; python_version >= "3.8" and python_version < "4.0" \
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--hash=sha256:b7c65112c87568274d399ad7a62902cef17801c2bd047b162e79e43758b3ce27 \
--hash=sha256:c089ce856919e03f4dd8f9168d60ac580d30cd0451fd60dcdef73010eca68973 \
--hash=sha256:c53cf36cdb10819b7154fefdbffbef442ba567d9c1ca74a7e76fd759ace45e6c \
--hash=sha256:cb08db5c122fea4196483b82f7596e50ef9cab1770f7696c197bf0815ac4dd17 \
--hash=sha256:ccc1b5b467766110085c80bb9311d233fccc8ed1ce965aebba3125e1bab04cba \
--hash=sha256:cdbf9a76ea47f14026daaed43a2c2150ab0e9a4d5396909f028380f33e61c522 \
--hash=sha256:cdee4f4d04761ce167538adbefa01a64e7cab949d89aa09df39ef0d5e859fb2a \
--hash=sha256:d3264e4a02e4148e30078104fb0c1b6c8eb166ddc5ebe843a22433f58f87dc47 \
--hash=sha256:d5fe8054c244bf63be2380efc275edd86da3a706460d42911dc3ff914f3260a5 \
--hash=sha256:d72916d27fb88741bfb576b0b0639354ca00f5e91046171c985262c68a86bbb5 \
--hash=sha256:db5e71e5a810d2f1163c914e01b3ba241409a98286ac4850ff26076115ae401b \
--hash=sha256:dc7f25e20781c8d42e813516ee4ff9043ecce4a8e25fc94ee6732a83d81c1c99 \
--hash=sha256:de784bbe06d32e66617cd20766c37aae2438902d54b3fa608d2e0a929ca705f4 \
--hash=sha256:e0755f5ac6c3d1dc2505eb2e6eaf5508ff17b42c084406714fbabf2d50d098b6 \
--hash=sha256:e549da8d68ad4ee385c918ea8b9efeda875df9edf6c6b48df927bd061c00bfef \
--hash=sha256:e6772eb7cc4429f1eae5a9b41e5b0b1af8f0d50727c6e338d9ad5bceee01da5a \
--hash=sha256:ea3e46a534de97a6cad2018cb950492a0fcacad380e35440ce3c1c8fef96a261 \
--hash=sha256:ec5523d5c08c639cd4e301d42f3ad7c6fb061a1f1cd6b5b627e59af345edfed7 \
--hash=sha256:ef3ad80458e47723812976a2ea1282ff207ad20e6cb19da1917f76699bd5aaa5 \
--hash=sha256:ef6c38040d868dcc0132fad377aafeb5b2da71354759e77f41ae599316df2dee \
--hash=sha256:f1e23665be5918f979180130babedab9317fbb34cdae237c7defad7e86bc684e \
--hash=sha256:f25d1975e846d07990cf946a5927a932aa7cccd308ae9979b03a58ff1cd80087 \
--hash=sha256:f7acc5c9c7cf567372de5b6c817f93db508e7b9bd7f29bd6187df8d2cc60ced5 \
--hash=sha256:fb7049dff52cded65184a3d2ff45cfd226bff7314f49a8f4b83f943eea9181a7 \
--hash=sha256:fdd2ab5ab56fcaf839a9f58caa8756dbfeba0b3dc187850b763d0a1e6ee9c97a
requests==2.31.0 ; python_version >= "3.8" and python_version < "4.0" \ requests==2.31.0 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f \ --hash=sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f \
--hash=sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1 --hash=sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1
termcolor==2.3.0 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:3afb05607b89aed0ffe25202399ee0867ad4d3cb4180d98aaf8eefa6a5f7d475 \
--hash=sha256:b5b08f68937f138fe92f6c089b99f1e2da0ae56c52b78bf7075fd95420fd9a5a
tqdm==4.65.0 ; python_version >= "3.8" and python_version < "4.0" \ tqdm==4.65.0 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5 \ --hash=sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5 \
--hash=sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671 --hash=sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671
@ -433,6 +697,8 @@ typing-extensions==4.7.0 ; python_version >= "3.8" and python_version < "4.0" \
urllib3==2.0.3 ; python_version >= "3.8" and python_version < "4.0" \ urllib3==2.0.3 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:48e7fafa40319d358848e1bc6809b208340fafe2096f1725d05d67443d0483d1 \ --hash=sha256:48e7fafa40319d358848e1bc6809b208340fafe2096f1725d05d67443d0483d1 \
--hash=sha256:bee28b5e56addb8226c96f7f13ac28cb4c301dd5ea8a6ca179c0b9835e032825 --hash=sha256:bee28b5e56addb8226c96f7f13ac28cb4c301dd5ea8a6ca179c0b9835e032825
validators==0.20.0 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:24148ce4e64100a2d5e267233e23e7afeb55316b47d30faae7eb6e7292bc226a
yarl==1.9.2 ; python_version >= "3.8" and python_version < "4.0" \ yarl==1.9.2 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571 \ --hash=sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571 \
--hash=sha256:066c163aec9d3d073dc9ffe5dd3ad05069bcb03fcaab8d221290ba99f9f69ee3 \ --hash=sha256:066c163aec9d3d073dc9ffe5dd3ad05069bcb03fcaab8d221290ba99f9f69ee3 \
@ -508,3 +774,6 @@ yarl==1.9.2 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:f3b078dbe227f79be488ffcfc7a9edb3409d018e0952cf13f15fd6512847f3f7 \ --hash=sha256:f3b078dbe227f79be488ffcfc7a9edb3409d018e0952cf13f15fd6512847f3f7 \
--hash=sha256:f4e2d08f07a3d7d3e12549052eb5ad3eab1c349c53ac51c209a0e5991bbada78 \ --hash=sha256:f4e2d08f07a3d7d3e12549052eb5ad3eab1c349c53ac51c209a0e5991bbada78 \
--hash=sha256:f7a3d8146575e08c29ed1cd287068e6d02f1c7bdff8970db96683b9591b86ee7 --hash=sha256:f7a3d8146575e08c29ed1cd287068e6d02f1c7bdff8970db96683b9591b86ee7
yaspin==2.3.0 ; python_version >= "3.8" and python_version < "4.0" \
--hash=sha256:17b5548479b3d5b30adec7a87ffcdcddb403d14a2bb86fbcee97f37951e13427 \
--hash=sha256:547afd1a9700ac3a29a9f5591c70343bef186ed5dfb5e545a9bb0c77e561a1c9