code stringlengths 82 54.1k | code_codestyle int64 0 699 | style_context stringlengths 111 35.6k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel_dimen... | 61 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 0 |
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_available():
import t... | 62 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 0 |
import unittest
import numpy as np
from transformers import RobertaConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available():
... | 63 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 0 |
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class _lowerCamelCase ( UpperCamelCase_ ):
__a = ["image_processor", "tokenizer"]
__a = "CLIPImageProcessor"
__a = ("CLIPTokenizer", "CLIPTokenizerFast")
... | 64 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 0 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
__UpperCAmelCase = {'vocab_file': 'vocab.txt', 'tokenizer_file'... | 65 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 13 | 0 |
import warnings
from ...utils import logging
from .image_processing_clip import CLIPImageProcessor
UpperCamelCase = logging.get_logger(__name__)
class lowerCAmelCase_ ( __snake_case ):
def __init__( self , *_lowerCAmelCase , **_lowerCAmelCase ):
warnings.war... | 66 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 0 |
import gc
import math
import unittest
import torch
from diffusers import UNetaDModel
from diffusers.utils import floats_tensor, logging, slow, torch_all_close, torch_device
from diffusers.utils.testing_utils import enable_full_determinism
from .test_modeling_common import ModelTesterMixin, UNet... | 67 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 0 |
from ..utils import DummyObject, requires_backends
class _A ( metaclass=UpperCamelCase ):
"""simple docstring"""
lowerCamelCase : Tuple = ['torch', 'torchsde']
def __init__( self : str , *__SCREAMING_SNAKE_CASE : Dict , **__SCREAMING_SNAKE_CAS... | 68 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
a : Union[str, An... | 69 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 0 |
# flake8: noqa
# Lint as: python3
lowerCamelCase : Any = [
"VerificationMode",
"Version",
"disable_progress_bar",
"enable_progress_bar",
"is_progress_bar_enabled",
"experimental",
]
from .info_utils import VerificationMode
from .logging import disabl... | 70 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 0 |
'''simple docstring'''
from math import factorial
def a__ ( _SCREAMING_SNAKE_CASE : int , _SCREAMING_SNAKE_CASE : int ) -> int:
"""simple docstring"""
if n < k or k < 0:
raise ValueError("Please enter positive integers for n and k where n >= k" )... | 71 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 0 |
'''simple docstring'''
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
_UpperCAmelCase : Any = pytest.mark.integration
@pytest.mark.parametrize('''path''... | 72 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 0 |
import math
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a_ : int = logging.get_logger(__name__)
a_ : Optional[Any] = {
'facebook/data2vec-base-960h': 'https://huggingface.co/facebook/data2vec-audio-base-960h/resolve/main/config.json',... | 73 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 0 |
# Usage:
# ./gen-card-facebook-wmt19.py
import os
from pathlib import Path
def a__ ( snake_case , snake_case , snake_case ):
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Optional[Any] = {
'''en''': '''Machine learning is great, isn\'t it?''',
... | 74 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 0 |
'''simple docstring'''
def a__ ( lowerCAmelCase__ = 1_00_00_00 ) -> int:
UpperCAmelCase__ : str = 1
UpperCAmelCase__ : int = 1
UpperCAmelCase__ : int = {1: 1}
for inputa in range(2 , lowerCAmelCase__ ):
... | 75 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 0 |
"""simple docstring"""
from typing import Union
import fire
import torch
from tqdm import tqdm
def __UpperCAmelCase ( __UpperCamelCase , __UpperCamelCase = "cpu" , __UpperCamelCase = None ):
__lowercase : str = torch.load(__UpperCamelCase , ma... | 76 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 0 |
"""simple docstring"""
import torch
from transformers import CamembertForMaskedLM, CamembertTokenizer
def _UpperCamelCase ( UpperCamelCase , UpperCamelCase , UpperCamelCase , UpperCamelCase=5 ) -> Optional[Any]:
"""simple docstring"""
# Adap... | 77 |
'''simple docstring'''
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_te... | 13 | 0 |
'''simple docstring'''
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('>=', '4.25.0')):
raise OptionalDepende... | 78 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 0 |
from pathlib import PurePosixPath
from typing import Optional
import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo
from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url
class UpperCAme... | 79 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 0 |
import os
import tempfile
import unittest
from transformers import DistilBertConfig, is_torch_available
from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_ten... | 80 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 0 |
from typing import List, Optional, Union
import numpy as np
import tensorflow as tf
from .utils import logging
_snake_case : List[str] = logging.get_logger(__name__)
def lowerCAmelCase_ ( __lowerCamelCase ):
if isinstance(__lowerCamelCase , np.ndarray )... | 81 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_50_00_00 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(UpperCAmelCase_ )
__lowerCamelCase : Any ... | 13 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase = logging.get_logger(__name__)
lowerCamelCase = {
"""s-JoL/Open-Llama-V1""": """https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json""",
}
class... | 82 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFor... | 13 | 0 |
"""simple docstring"""
import os
import time
import numpy as np
import onnxruntime as ort
lowerCAmelCase__ = '''1'''
lowerCAmelCase__ = '''0'''
lowerCAmelCase__ = '''1'''
lowerCAmelCase__ = ort.SessionOptions()
lowerCAmelCase__ ... | 83 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 0 |
from collections import defaultdict
from math import ceil, sqrt
def UpperCAmelCase_ ( __SCREAMING_SNAKE_CASE = 100_0000 , __SCREAMING_SNAKE_CASE = 10 ):
lowercase = defaultdict(__SCREAMING_SNAKE_CASE )
for outer_width in range(3 , (t_limit // 4) + 2 ):
if outer_w... | 84 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 0 |
import json
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_im... | 85 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 0 |
def __snake_case ( __UpperCamelCase : list[list[int]] ,__UpperCamelCase : int ,__UpperCamelCase : int ,__UpperCamelCase : set ):
"""simple docstring"""
A_ , A_ = len(__UpperCamelCase ), len(grid[0] )
if (
min(__UpperCamelCase ,__... | 86 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 0 |
import inspect
import unittest
from transformers import RegNetConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...... | 87 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 13 | 0 |
"""simple docstring"""
from __future__ import annotations
def _snake_case ( __snake_case : list[int] , __snake_case : int , __snake_case : int , __snake_case : int ):
"""simple docstring"""
if (direction == 1... | 88 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 0 |
import argparse
import os
from transformers.utils import direct_transformers_import
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_task_guides.py
SCREAMING_SNAKE_CASE : int = "src/transformers"
SCREAMING_SNAKE_CASE : Opt... | 89 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 0 |
'''simple docstring'''
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
__UpperCAmelCase = False
... | 90 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 0 |
"""simple docstring"""
from copy import deepcopy
class lowerCAmelCase_ :
'''simple docstring'''
def __init__( self : Optional[Any] ,A_ : list[int] | None = None ,A_ : int | None = None ) -> None:
if arr is None and size is not None:
A = size
... | 91 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 0 |
'''simple docstring'''
def _lowerCAmelCase ( __magic_name__ : int , __magic_name__ : int ) -> int:
return int(input_a == input_a == 0 )
def _lowerCAmelCase ( ) -> None:
print('''Truth Table of NOR Gate:''' )
print('''| Input 1 ... | 92 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 0 |
"""simple docstring"""
from __future__ import annotations
def __A (_SCREAMING_SNAKE_CASE ) ->list[int]:
"""simple docstring"""
lowerCAmelCase__ :str = [True] * limit
lowerCAmelCase__ :Optional[int] = False
lowerCAmelCase__ :str = F... | 93 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 0 |
'''simple docstring'''
from __future__ import annotations
SCREAMING_SNAKE_CASE = {
'A': ['B', 'C', 'E'],
'B': ['A', 'D', 'E'],
'C': ['A', 'F', 'G'],
'D': ['B'],
'E': ['A', 'B', 'D'],
'F': ['C'],
'G': ['C'],
}
class UpperCAmelCase_ :
"""simple docstring""... | 94 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 0 |
"""simple docstring"""
import argparse
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import BigBirdPegasusConfig, BigBirdPegasusForConditionalGeneration
lowerCamelCase_ = [
# tf -> hf
('''/''', '''.'''),
('''layer_''', '''layers.'... | 95 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import List, Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__lowerCamelCase = logging.get_logger(__... | 96 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 0 |
import unittest
from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property
from ...test_tokenization_common import Tokenizer... | 97 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 0 |
'''simple docstring'''
import datasets
from .evaluate import evaluate
lowercase__ : int = '\\n@article{hendrycks2021cuad,\n title={CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review},\n author={Dan Hendrycks and Collin Burns and Anya Chen and Spencer Ball},\n journal={... | 98 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 0 |
import warnings
from diffusers import StableDiffusionImgaImgPipeline # noqa F401
warnings.warn(
'The `image_to_image.py` script is outdated. Please use directly `from diffusers import'
' StableDiffusionImg2ImgPipeline` instead.'
)
| 99 |
'''simple docstring'''
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_te... | 13 | 0 |
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 100 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 0 |
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
lowerCAmelCase__ : Optional[int] ='%20'.join(argv[1:]) if len(argv) > 1 else quote(str(input('S... | 101 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ....utils import _LazyModule
__magic_name__ : Any = {"""tokenization_tapex""": ["""TapexTokenizer"""]}
if TYPE_CHECKING:
from .tokenization_tapex import TapexTokenizer
else:
import sys
__magic_nam... | 102 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 0 |
"""simple docstring"""
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json
... | 103 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_50_00_00 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(UpperCAmelCase_ )
__lowerCamelCase : Any ... | 13 | 0 |
"""simple docstring"""
import logging
import os
from typing import List, TextIO, Union
from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask
UpperCamelCase = logging.getLogger(__name__)
class UpperCamelCase__ ( ... | 104 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFor... | 13 | 0 |
import logging
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.bert.modeling_bert import (
BERT_INPUTS_DOCSTRING,
BERT_START_DOCSTRING,
BertEncoder... | 105 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 0 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
UniSpeechConfig,
UniSpeechForCTC,
UniSpeechForPreTraining,
WavaVecaFeatureExtractor,
WavaVecaPhonemeCTCTokenizer,
WavaVecaProcessor,
logging,
)
logging.set... | 106 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 0 |
'''simple docstring'''
from datetime import datetime as dt
import os
from github import Github
_UpperCAmelCase : str = [
'''good first issue''',
'''good second issue''',
'''good difficult issue''',
'''feature request''',
'''new model''',
'''wip''',
]
def _SCRE... | 107 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 0 |
from unittest import TestCase
from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class SCREAMING_SNAKE_CASE__ ( UpperCAmelCase ):
'''simple docstring'''
def lowerCamelCase ( self : List[str] ) -> Dict:
"""simple docstring"""
... | 108 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 0 |
'''simple docstring'''
from __future__ import annotations
class __a :
def __init__( self : Optional[int] ,lowerCamelCase : list[list[int]] ):
'''simple docstring'''
__SCREAMING_SNAKE_CASE = TypeError(
"""Matrices must be formed ... | 109 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 13 | 0 |
"""simple docstring"""
def lowerCamelCase ( _snake_case ):
if not isinstance(_snake_case ,_snake_case ):
raise ValueError('Input must be an integer' )
if input_num <= 0:
raise ValueError('Input must be positive' )
return sum(
divisor for divisor in range(1 ,input... | 110 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 0 |
import argparse
import logging
import os
from datetime import datetime
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, TensorDataset
from tqdm import tqdm
from transformers import GPTaLMHeadModel
snake_case_ = loggi... | 592 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 0 |
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_backbone_common import Back... | 170 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 0 |
'''simple docstring'''
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.testing_utils import require_t... | 451 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 0 |
from math import asin, atan, cos, radians, sin, sqrt, tan
UpperCamelCase_ = 6_37_81_37.0
UpperCamelCase_ = 6_35_67_52.31_42_45
UpperCamelCase_ = 6_37_81_37
def _lowerCamelCase ( lowerCamelCase_: float , lowerCamelCase_: float , lowerCamelC... | 256 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
A = {
"""configuration_gpt_bigcode""": ["""GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTBigCodeConfig"""],
}
try:
if not is... | 77 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 0 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : List[str] = logging.get_logger(__name__)
# TODO Update this
__SCREAMING_SNAKE_CASE : Tuple ... | 452 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 0 |
"""simple docstring"""
from collections.abc import Generator
from math import sin
def _lowerCamelCase ( UpperCAmelCase_ : bytes ) -> bytes:
"""simple docstring"""
if len(UpperCAmelCase_ ) != 32:
raise ValueError("Input must be of lengt... | 104 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 0 |
from . import (
albert,
align,
altclip,
audio_spectrogram_transformer,
auto,
autoformer,
bark,
bart,
barthez,
bartpho,
beit,
bert,
bert_generation,
bert_japanese,
bertweet,
big_bird,
bigbird_pegasus,
biogpt,
bit,
blenderbot,
blen... | 181 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 0 |
import flax.linen as nn
import jax
import jax.numpy as jnp
class __lowerCAmelCase ( nn.Module ):
_a = 42
_a = jnp.floataa
def A__ ( self ) -> Union[str, Any]:
'''simple docstring'''
_lowercase =nn.Conv... | 291 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 0 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
SwiftFormerConfig,
SwiftFormerForImageClassification,
ViTImageProcessor,
)
from transformers.utils import logging
logging.set... | 191 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 0 |
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available
if is_datasets_available():
import datasets
class __lowerCAmelCas... | 283 |
'''simple docstring'''
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_te... | 13 | 0 |
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class SCREAMING_SNAKE_CASE__ ( _UpperCAmelCase ):
A_ : Tuple = ['image_processor', 'tokenizer']
A_ : Union[str, Any] = 'CL... | 592 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 0 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokeniz... | 170 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 0 |
'''simple docstring'''
import sys
__snake_case = (
"""73167176531330624919225119674426574742355349194934"""
"""96983520312774506326239578318016984801869478851843"""
"""85861560789112949495459501737958331952853208805511"""
"""12540698747158523863050715693290963295227443043557"""
"""6689664... | 451 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 0 |
import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional
import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset
from transformers impo... | 256 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_50_00_00 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(UpperCAmelCase_ )
__lowerCamelCase : Any ... | 13 | 0 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin
if is_torch_available():
im... | 77 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFor... | 13 | 0 |
'''simple docstring'''
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...test... | 452 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 0 |
"""simple docstring"""
import requests
from bsa import BeautifulSoup
def _lowerCamelCase ( UpperCAmelCase_ : str, UpperCAmelCase_ : dict ) -> str:
"""simple docstring"""
A__ = BeautifulSoup(requests.get(UpperCAmelCase_, pa... | 104 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 0 |
from __future__ import annotations
def _snake_case (_snake_case : int) -> bool:
_lowercase =str(UpperCAmelCase_)
return len(UpperCAmelCase_) == 9 and set(UpperCAmelCase_) == set('123456789')
def _snake_case () -> int | None:
for base_num in range... | 181 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 0 |
import argparse
import copy
def a ( A__ : Optional[Any] ) -> Optional[int]:
"""simple docstring"""
_lowercase ={}
with open(UpperCAmelCase_ ) as f:
for line in f:
if line.split()[0] not in dict_of_neighbours:
... | 291 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 0 |
from typing import Optional, Tuple, Union
import torch
from einops import rearrange, reduce
from diffusers import DDIMScheduler, DDPMScheduler, DiffusionPipeline, ImagePipelineOutput, UNetaDConditionModel
from diffusers.schedulers.scheduling_ddim import DDIMSchedulerOutput
from diffusers.schedulers.scheduling_ddp... | 191 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 13 | 0 |
import glob
import os
import random
from string import ascii_lowercase, digits
import cva
import numpy as np
# Parrameters
SCREAMING_SNAKE_CASE :Optional[Any] = (7_20, 12_80) # Height, Width
SCREAMING_SNAKE_CASE :int = (0.4, 0.6) # if height or width lower than this scale, drop it.
... | 283 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 0 |
import json
import os
import pickle
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch
import numpy as np
from datasets import Dataset
from transformers import is_faiss_available
from transformers.models.bart.configuration_bart import BartConfig
from t... | 592 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 0 |
import copy
import os
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Union
if TYPE_CHECKING:
from ...processing_utils import ProcessorMixin
from ...utils import TensorType
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from... | 170 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 0 |
'''simple docstring'''
def A_ ( ) ->int:
return 1
def A_ ( SCREAMING_SNAKE_CASE_ ) ->int:
return 0 if x < 0 else two_pence(x - 2 ) + one_pence()
def A_ ( SCREAMING_SNAKE_CASE_ ) ->int:
return 0 if x < 0 else five_pence(x - 5 ) + two_pence(UpperC... | 451 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 0 |
import time
from contextlib import contextmanager
from pathlib import Path
import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder
UpperCamelCase_ = """__DUMMY_TRANSFORMERS_USER__"""
UpperCamelCase_ = """Dummy User"""
UpperCamelCase_ = """hf_hZEmnoO... | 256 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 0 |
"""simple docstring"""
from random import shuffle
import tensorflow as tf
from numpy import array
def _UpperCamelCase ( UpperCamelCase , UpperCamelCase ) -> List[str]:
"""simple docstring"""
__UpperCAmelCase : str = int(UpperCAmelCase_ ... | 77 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 0 |
'''simple docstring'''
import unittest
from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from ...test_tokenization_common import TokenizerTesterMixin
__SCREAMING_SNAKE_CASE : str = get_tests_dir('''fixtur... | 452 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase = {
"""configuration_mctct""": ["""MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MCTCTConfig"""],
"""feature_extrac... | 104 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 0 |
_SCREAMING_SNAKE_CASE = {
"km/h": 1.0,
"m/s": 3.6,
"mph": 1.60_9344,
"knot": 1.852,
}
_SCREAMING_SNAKE_CASE = {
"km/h": 1.0,
"m/s": 0.2_7777_7778,
"mph": 0.6_2137_1192,
"knot": 0.5_3995_6803,
}
def _snake_case (_snake_case : float , _snake_cas... | 181 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 0 |
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def a ( A__ : Tuple ) -> int:
"""simple docstring"""
_lowercase =FileLock(str(tmpdir / 'foo.lock' ) )
_lowercase =FileLock(str(tmpdir / 'foo.lock' )... | 291 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 0 |
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor
if is_flax_availab... | 191 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 0 |
def _lowerCAmelCase ( lowerCAmelCase_ :int = 100 )->int:
'''simple docstring'''
snake_case_ = n * (n + 1) * (2 * n + 1) / 6
snake_case_ = (n * (n + 1) / 2) ** 2
return int(square_of_sum - sum_of_squares )
if __name__ == "__mai... | 283 |
'''simple docstring'''
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_te... | 13 | 0 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from tra... | 592 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 0 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCamelCase : Optional[Any] = logging.get_logger(__name__)
lowerCamelCase : Li... | 170 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__snake_case = {
"""configuration_nezha""": ["""NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NezhaConfig"""],
}
try:
if not is_torc... | 451 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 0 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaInpaintPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, load_image, load... | 256 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_50_00_00 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(UpperCAmelCase_ )
__lowerCamelCase : Any ... | 13 | 0 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def _UpperCamelCase ( UpperCamelCase ) -> float:
"""simple docstring"""
if num <= 0:
raise ValueError("math domain error" )
return quad(UpperCAmelCase_ , 0 ... | 77 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFor... | 13 | 0 |
'''simple docstring'''
import shutil
import tempfile
import unittest
from transformers import (
SPIECE_UNDERLINE,
AddedToken,
BatchEncoding,
NllbTokenizer,
NllbTokenizerFast,
is_torch_available,
)
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_se... | 452 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 0 |
"""simple docstring"""
from math import loga
def _lowerCamelCase ( UpperCAmelCase_ : int ) -> int:
"""simple docstring"""
if a < 0:
raise ValueError("Input value must be a positive integer" )
elif isinstance(UpperCAmelCase_, UpperCAme... | 104 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 0 |
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available
if is_vision_available():
from PIL import Image
from transformers import (
AutoProcessor,
BertTokeni... | 181 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 0 |
from decimal import Decimal, getcontext
from math import ceil, factorial
def a ( A__ : int ) -> str:
"""simple docstring"""
if not isinstance(UpperCAmelCase_ , UpperCAmelCase_ ):
raise TypeError('Undefined for non-integers' )
elif precision < 1:
... | 291 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 0 |
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase = logging.get_logger(__name__)
lowerCamelCase = {
"""asapp/sew-tiny-100k""": """https://huggingface.co/asapp/sew-tiny-100k/resolve/main/config.json""",
... | 191 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... | 13 | 0 |
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
SCREAMING_SNAKE_CASE :Optional[Any] = logging.get_logger(__name__)
SCREAMING_SNAKE_CASE :Dict = {
"""huggingface/time-series-transformer-tourism-monthly""": (
... | 283 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 0 |
from collections import defaultdict
from math import ceil, sqrt
def lowerCamelCase__ ( snake_case_ : int = 100_0000 , snake_case_ : int = 10 ) -> int:
__snake_case = defaultdict(UpperCAmelCase_ )
for outer_width in range(3 , (t_limit // 4... | 592 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 0 |
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging
lowerCamelCase : Dict = log... | 170 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 0 |
'''simple docstring'''
from collections import OrderedDict
from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES
__snake_case = logging.get_logger(__name__)
__snake_case = OrderedDict(
... | 451 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 0 |
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_... | 256 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 0 |
"""simple docstring"""
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
A = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
A = typing.Union[np.floataa, int, float] # noqa: UP007
def _UpperCamelCase ... | 77 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 0 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from .t... | 452 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 0 |
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