code stringlengths 81 54k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
import math
import os
import unittest
from transformers import MegatronBertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_confi... | 612 |
"""simple docstring"""
import os
from typing import BinaryIO, Optional, Union
import numpy as np
import pyarrow.parquet as pq
from .. import Audio, Dataset, Features, Image, NamedSplit, Value, config
from ..features.features import FeatureType, _visit
from ..formatting import query_table
from ..packaged_mo... | 612 | 1 |
"""simple docstring"""
import unittest
from transformers import load_tool
from .test_tools_common import ToolTesterMixin
UpperCamelCase = """
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed ... | 612 |
"""simple docstring"""
import torch
from diffusers import KDPMaDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Tuple = (KDPMaDiscreteScheduler,)
A__ : Tuple ... | 612 | 1 |
"""simple docstring"""
UpperCamelCase = 256
# Modulus to hash a string
UpperCamelCase = 1_000_003
def lowerCAmelCase ( UpperCamelCase_: str , UpperCamelCase_: str ) -> bool:
'''simple docstring'''
_a = l... | 612 |
"""simple docstring"""
# Copyright 2021 The HuggingFace 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.... | 612 | 1 |
"""simple docstring"""
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"""google/pix2struct-textcaps-base""": (
"""h... | 612 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> list:
'''simple docstring'''
_a = [True] * n
_a = False
_a = False
_a = True
for i in range(3 , int(n**0.5 + 1 ) , 2 ):
... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: Optional[int] , UpperCamelCase_: str ) -> List[Any]:
'''simple docstring'''
_a = (boundary[1] - boundary[0]) / steps
_a = boundary[0]
_a = boundary[1]
_a = ... | 612 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sage... | 612 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available
UpperCamelCase = {
"""configuration_audio_spectrogram_transformer""": [
"""AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_... | 612 |
"""simple docstring"""
import tempfile
import torch
from diffusers import PNDMScheduler
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Union[str, Any] = (PNDMScheduler,)
A__ : Optional[int] = (('''num_inferenc... | 612 | 1 |
"""simple docstring"""
import fire
from utils import calculate_rouge, save_json
def lowerCAmelCase ( UpperCamelCase_: Optional[int] , UpperCamelCase_: str , UpperCamelCase_: Optional[Any]=None , **UpperCamelCase_: Optional[Any] ) -> Optio... | 612 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Generic, TypeVar
UpperCamelCase = TypeVar("""T""")
UpperCamelCase = TypeVar("""U""")
class lowercase_ (Generic[T, U] ):
def __init__( ... | 612 | 1 |
"""simple docstring"""
import pprint
import requests
UpperCamelCase = """https://zenquotes.io/api"""
def lowerCAmelCase ( ) -> list:
'''simple docstring'''
return requests.get(API_ENDPOINT_URL + "/today" ).json()
def lowerCAme... | 612 |
"""simple docstring"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMSche... | 612 | 1 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCamelCase = logging.get_logger(__... | 612 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_commo... | 612 | 1 |
"""simple docstring"""
from copy import deepcopy
from typing import Optional, Union
import numpy as np
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_tf_available, is_torch_available
if is_torch_available():
imp... | 612 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowercase_ (metaclass=_UpperCAmelCase ):
A__ : Any = ['''torch''', '''torchsde''']
def __init__( self , *a_ , **a_ ) ->Optional[int]:
'''simple docstr... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: str , UpperCamelCase_: str ) -> list:
'''simple docstring'''
_a = len(UpperCamelCase_ )
_a = []
for i in range(len(UpperCamelCase_ ) - pat_len + 1 ):
_a ... | 612 |
"""simple docstring"""
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def lowerCAmelCase ( UpperCamelCase_: ndarray ) -> float:
'''simple docstring'''
return np.dot(UpperCamelCase_ , Uppe... | 612 | 1 |
"""simple docstring"""
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import (
BaseOutput,
OptionalDependencyNotAvailable,
is_flax_available,
is_k_diffusion_available,
is_k_diffusion_version,
... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_... | 612 | 1 |
"""simple docstring"""
from argparse import ArgumentParser
from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_... | 612 |
"""simple docstring"""
import argparse
import json
import os
from collections import OrderedDict
import numpy as np
import tensorflow as tf
import torch
def lowerCAmelCase ( UpperCamelCase_: Dict ) -> Any:
'''simple docstring'''
_a = os.path.jo... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase ( UpperCamelCase_: str ) -> list[int]:
'''simple docstring'''
return [ord(UpperCamelCase_ ) - 96 for elem in plain]
def lowerCAmelCase ( UpperCamelCase_... | 612 |
"""simple docstring"""
import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...models.auto.modeling_auto import MODEL_FOR_QUESTION_ANSWERING_MA... | 612 | 1 |
"""simple docstring"""
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def lowerCAmelCase ( ) -> int:
'''simple docstring'''
_a = ArgumentParser(
... | 612 |
"""simple docstring"""
# 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/LICEN... | 612 | 1 |
"""simple docstring"""
import argparse
import random
import joblib
import numpy as np
import torch
from igf.igf import (
SecondaryLearner,
collect_objective_set,
compute_perplexity,
generate_datasets,
load_gpta,
recopy_gpta,
set_seed,
train_secondary_learner,
)
from torch.uti... | 612 |
"""simple docstring"""
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all image processors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_t... | 612 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"""dis... | 612 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_yolos import YolosImageProcessor
UpperCamelCase = logging.get_logger(__name__)
class lowercase_ (_UpperCAmelCase ):
def __init__( self , *a_ , **a_ ) ->No... | 612 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging
if TYPE_CHECKING:
from ...onnx.config import Pat... | 612 |
"""simple docstring"""
import argparse
import json
import os
import numpy as np
import PIL
import requests
import tensorflow.keras.applications.efficientnet as efficientnet
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from tensorflow.keras.preprocessing import image
from t... | 612 | 1 |
"""simple docstring"""
from sklearn.metrics import mean_squared_error
import datasets
UpperCamelCase = """\
@article{scikit-learn,
title={Scikit-learn: Machine Learning in {P}ython},
author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and Gris... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
UpperCamelCase = {
"""configuration_transfo_xl""": ["""TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TransfoXLConfig"""],
... | 612 | 1 |
"""simple docstring"""
from math import pi, sqrt, tan
def lowerCAmelCase ( UpperCamelCase_: float ) -> float:
'''simple docstring'''
if side_length < 0:
raise ValueError("surface_area_cube() only accepts non-negative values" )
return 6 * sid... | 612 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logg... | 612 | 1 |
"""simple docstring"""
import unittest
from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property
from ...test_tokeniz... | 612 |
"""simple docstring"""
import copy
import fnmatch
import json
import os
import pickle as pkl
import shutil
import sys
import tarfile
import tempfile
from collections import OrderedDict
from contextlib import contextmanager
from functools import partial
from hashlib import shaaaa
from io import BytesIO
from p... | 612 | 1 |
"""simple docstring"""
import datasets
UpperCamelCase = """\
@InProceedings{conneau2018xnli,
author = \"Conneau, Alexis
and Rinott, Ruty
and Lample, Guillaume
and Williams, Adina
and Bowman, Samuel R.
and... | 612 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: Optional[int] , UpperCamelCase_: str ) -> List[Any]:
'''simple docstring'''
_a = (boundary[1] - boundary[0]) / steps
_a = boundary[0]
_a = boundary[1]
_a = ... | 612 | 1 |
"""simple docstring"""
# 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/LICEN... | 612 |
"""simple docstring"""
import os
from typing import BinaryIO, Optional, Union
import numpy as np
import pyarrow.parquet as pq
from .. import Audio, Dataset, Features, Image, NamedSplit, Value, config
from ..features.features import FeatureType, _visit
from ..formatting import query_table
from ..packaged_mo... | 612 | 1 |
"""simple docstring"""
import os
def lowerCAmelCase ( UpperCamelCase_: str = "matrix.txt" ) -> int:
'''simple docstring'''
with open(os.path.join(os.path.dirname(UpperCamelCase_ ) , UpperCamelCase_ ) ) as in_file:
_a = in_fil... | 612 |
"""simple docstring"""
import torch
from diffusers import KDPMaDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Tuple = (KDPMaDiscreteScheduler,)
A__ : Tuple ... | 612 | 1 |
"""simple docstring"""
import copy
import fnmatch
import json
import os
import pickle as pkl
import shutil
import sys
import tarfile
import tempfile
from collections import OrderedDict
from contextlib import contextmanager
from functools import partial
from hashlib import shaaaa
from io import BytesIO
from p... | 612 |
"""simple docstring"""
# Copyright 2021 The HuggingFace 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.... | 612 | 1 |
"""simple docstring"""
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
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase... | 612 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> list:
'''simple docstring'''
_a = [True] * n
_a = False
_a = False
_a = True
for i in range(3 , int(n**0.5 + 1 ) , 2 ):
... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase ( UpperCamelCase_: list[int] , UpperCamelCase_: int ) -> list[list[int]]:
'''simple docstring'''
_a = []
_a = []
_a = 0
_a = sum(Upper... | 612 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sage... | 612 | 1 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> bool:
'''simple docstring'''
_a = math.loga(math.sqrt(4 * positive_integer + 1 ) / 2 + 1 / 2 )
return exponent == int(UpperCamelCase_ )
def ... | 612 |
"""simple docstring"""
import tempfile
import torch
from diffusers import PNDMScheduler
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Union[str, Any] = (PNDMScheduler,)
A__ : Optional[int] = (('''num_inferenc... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: int ) -> bool:
'''simple docstring'''
if not isinstance(UpperCamelCase_ , UpperCamelCase_ ):
raise ValueError("check_bouncy() accepts only integer arguments" )
_a = str(Upp... | 612 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Generic, TypeVar
UpperCamelCase = TypeVar("""T""")
UpperCamelCase = TypeVar("""U""")
class lowercase_ (Generic[T, U] ):
def __init__( ... | 612 | 1 |
"""simple docstring"""
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_... | 612 |
"""simple docstring"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMSche... | 612 | 1 |
"""simple docstring"""
UpperCamelCase = 8.3_144_598
def lowerCAmelCase ( UpperCamelCase_: float , UpperCamelCase_: float ) -> float:
'''simple docstring'''
if temperature < 0:
raise Exception("Temperature cannot be less t... | 612 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_commo... | 612 | 1 |
"""simple docstring"""
import os
import pytest
from attr import dataclass
UpperCamelCase = """us-east-1""" # defaults region
@dataclass
class lowercase_ :
A__ : str
A__ : int = '''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
A__ : i... | 612 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowercase_ (metaclass=_UpperCAmelCase ):
A__ : Any = ['''torch''', '''torchsde''']
def __init__( self , *a_ , **a_ ) ->Optional[int]:
'''simple docstr... | 612 | 1 |
"""simple docstring"""
import json
import os
import tempfile
import unittest
import numpy as np
from datasets import load_dataset
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_... | 612 |
"""simple docstring"""
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def lowerCAmelCase ( UpperCamelCase_: ndarray ) -> float:
'''simple docstring'''
return np.dot(UpperCamelCase_ , Uppe... | 612 | 1 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_... | 612 | 1 |
"""simple docstring"""
import random
import unittest
from torch.utils.data import BatchSampler, DataLoader, IterableDataset
from accelerate import Accelerator
from accelerate.data_loader import (
BatchSamplerShard,
DataLoaderDispatcher,
DataLoaderShard,
IterableDatasetShard,
SkipBatchSa... | 612 |
"""simple docstring"""
import argparse
import json
import os
from collections import OrderedDict
import numpy as np
import tensorflow as tf
import torch
def lowerCAmelCase ( UpperCamelCase_: Dict ) -> Any:
'''simple docstring'''
_a = os.path.jo... | 612 | 1 |
"""simple docstring"""
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
fr... | 612 |
"""simple docstring"""
import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...models.auto.modeling_auto import MODEL_FOR_QUESTION_ANSWERING_MA... | 612 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
UpperCamelCase = {
"""google/tapas-base-finetuned-sqa""": (
"""https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json"""
),
"""google/tapas-base-finetuned-wtq""": (
... | 612 |
"""simple docstring"""
# 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/LICEN... | 612 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"""tanreinama/GPTSAN-2.8B-spout_is_uniform""": (
"""https://huggingface.co/tanreinama/GPTSAN-... | 612 |
"""simple docstring"""
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all image processors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_t... | 612 | 1 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> bool:
'''simple docstring'''
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, ... | 612 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_yolos import YolosImageProcessor
UpperCamelCase = logging.get_logger(__name__)
class lowercase_ (_UpperCAmelCase ):
def __init__( self , *a_ , **a_ ) ->No... | 612 | 1 |
"""simple docstring"""
import unittest
from transformers import MraConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, rando... | 612 |
"""simple docstring"""
import argparse
import json
import os
import numpy as np
import PIL
import requests
import tensorflow.keras.applications.efficientnet as efficientnet
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from tensorflow.keras.preprocessing import image
from t... | 612 | 1 |
"""simple docstring"""
UpperCamelCase = {
0: """0""",
1: """1""",
2: """2""",
3: """3""",
4: """4""",
5: """5""",
6: """6""",
7: """7""",
8: """8""",
9: """9""",
10: """a""",
11: """b""",
12: """c""",
13: """d""",
14: """e""",
15... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
UpperCamelCase = {
"""configuration_transfo_xl""": ["""TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TransfoXLConfig"""],
... | 612 | 1 |
"""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, prepare_image_inputs
if is_tor... | 612 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logg... | 612 | 1 |
"""simple docstring"""
import os
import unittest
from tempfile import TemporaryDirectory
import torch
import torch.nn as nn
from accelerate.utils import (
OffloadedWeightsLoader,
extract_submodules_state_dict,
load_offloaded_weight,
offload_state_dict,
offload_weight,
)
class low... | 612 |
"""simple docstring"""
import copy
import fnmatch
import json
import os
import pickle as pkl
import shutil
import sys
import tarfile
import tempfile
from collections import OrderedDict
from contextlib import contextmanager
from functools import partial
from hashlib import shaaaa
from io import BytesIO
from p... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: int ) -> int:
'''simple docstring'''
_a = 1
for i in range(1 , num + 1 ):
fact *= i
return fact
def lowerCAmelCase ( UpperCamelCase_: int ) ... | 612 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: Optional[int] , UpperCamelCase_: str ) -> List[Any]:
'''simple docstring'''
_a = (boundary[1] - boundary[0]) / steps
_a = boundary[0]
_a = boundary[1]
_a = ... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import AutoTokenizer, MBartConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_conf... | 612 |
"""simple docstring"""
import os
from typing import BinaryIO, Optional, Union
import numpy as np
import pyarrow.parquet as pq
from .. import Audio, Dataset, Features, Image, NamedSplit, Value, config
from ..features.features import FeatureType, _visit
from ..formatting import query_table
from ..packaged_mo... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Sequence
from typing import Literal
def lowerCAmelCase ( UpperCamelCase_: str , UpperCamelCase_: str ) -> str | Literal[False]:
'''simple docstring'''
_a ... | 612 |
"""simple docstring"""
import torch
from diffusers import KDPMaDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Tuple = (KDPMaDiscreteScheduler,)
A__ : Tuple ... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
UpperCamelCase = """#"""
class lowercase_ :
def __init__( self ) ->None:
'''simple docstring'''
_a = {}
def lowerCamelCase__ ( self , a_ ) ->None:
... | 612 |
"""simple docstring"""
# Copyright 2021 The HuggingFace 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.... | 612 | 1 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logg... | 612 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> list:
'''simple docstring'''
_a = [True] * n
_a = False
_a = False
_a = True
for i in range(3 , int(n**0.5 + 1 ) , 2 ):
... | 612 | 1 |
"""simple docstring"""
import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...models.auto.modeling_auto import MODEL_FOR_QUESTION_ANSWERING_MA... | 612 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sage... | 612 | 1 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class lowercase_ :
A__ : List[str]
A__ : Optional[st... | 612 |
"""simple docstring"""
import tempfile
import torch
from diffusers import PNDMScheduler
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Union[str, Any] = (PNDMScheduler,)
A__ : Optional[int] = (('''num_inferenc... | 612 | 1 |
"""simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_head,
... | 612 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Generic, TypeVar
UpperCamelCase = TypeVar("""T""")
UpperCamelCase = TypeVar("""U""")
class lowercase_ (Generic[T, U] ):
def __init__( ... | 612 | 1 |
"""simple docstring"""
import re
import string
import numpy as np
import datasets
UpperCamelCase = """
Returns the rate at which the input predicted strings exactly match their references, ignoring any strings input as part of the regexes_to_ignore list.
"""
UpperCamelCase =... | 612 |
"""simple docstring"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMSche... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: str , UpperCamelCase_: int ) -> str:
'''simple docstring'''
_a = [[] for _ in range(UpperCamelCase_ )]
_a = key - 1
if key <= 0:
raise ValueError("Height of grid... | 612 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_commo... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase ( UpperCamelCase_: str , UpperCamelCase_: str ) -> bool:
'''simple docstring'''
_a = get_failure_array(UpperCamelCase_ )
# 2) Step through text searchi... | 612 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowercase_ (metaclass=_UpperCAmelCase ):
A__ : Any = ['''torch''', '''torchsde''']
def __init__( self , *a_ , **a_ ) ->Optional[int]:
'''simple docstr... | 612 | 1 |
"""simple docstring"""
# Copyright 2021 The HuggingFace 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.... | 612 |
"""simple docstring"""
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def lowerCAmelCase ( UpperCamelCase_: ndarray ) -> float:
'''simple docstring'''
return np.dot(UpperCamelCase_ , Uppe... | 612 | 1 |
"""simple docstring"""
import random
from typing import Any
def lowerCAmelCase ( UpperCamelCase_: list ) -> list[Any]:
'''simple docstring'''
for _ in range(len(UpperCamelCase_ ) ):
_a = random.randint(0 , len(UpperCamelCase_ ... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_... | 612 | 1 |
"""simple docstring"""
from typing import List
import datasets
from datasets.tasks import AudioClassification
from ..folder_based_builder import folder_based_builder
UpperCamelCase = datasets.utils.logging.get_logger(__name__)
class lowercase_ (folder_based_builder.FolderBasedBu... | 612 |
"""simple docstring"""
import argparse
import json
import os
from collections import OrderedDict
import numpy as np
import tensorflow as tf
import torch
def lowerCAmelCase ( UpperCamelCase_: Dict ) -> Any:
'''simple docstring'''
_a = os.path.jo... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( ) -> Optional[Any]:
'''simple docstring'''
_a = 0
for i in range(1 , 1001 ):
total += i**i
return str(UpperCamelCase_ )[-10:]
if __name__ == "__main__":
print(solution())
| 612 |
"""simple docstring"""
import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...models.auto.modeling_auto import MODEL_FOR_QUESTION_ANSWERING_MA... | 612 | 1 |
"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory
from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
convert,
ensure_valid_input,
generate_ide... | 612 |
"""simple docstring"""
# 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/LICEN... | 612 | 1 |
"""simple docstring"""
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
fr... | 612 |
"""simple docstring"""
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all image processors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_t... | 612 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"""kss... | 612 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_yolos import YolosImageProcessor
UpperCamelCase = logging.get_logger(__name__)
class lowercase_ (_UpperCAmelCase ):
def __init__( self , *a_ , **a_ ) ->No... | 612 | 1 |
"""simple docstring"""
import argparse
import os
import transformers
from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging
logging.set_verbosity_info()
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {name: getattr(transfo... | 612 |
"""simple docstring"""
import argparse
import json
import os
import numpy as np
import PIL
import requests
import tensorflow.keras.applications.efficientnet as efficientnet
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from tensorflow.keras.preprocessing import image
from t... | 612 | 1 |
"""simple docstring"""
import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
f... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
UpperCamelCase = {
"""configuration_transfo_xl""": ["""TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TransfoXLConfig"""],
... | 612 | 1 |
"""simple docstring"""
import unittest
from transformers import XLMConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_commo... | 612 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logg... | 612 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
UpperCamelCase = {
"""configuration_resnet""": ["""RESNET_PRETRAINED_CONFIG_ARCHIVE_... | 612 |
"""simple docstring"""
import copy
import fnmatch
import json
import os
import pickle as pkl
import shutil
import sys
import tarfile
import tempfile
from collections import OrderedDict
from contextlib import contextmanager
from functools import partial
from hashlib import shaaaa
from io import BytesIO
from p... | 612 | 1 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> list:
'''simple docstring'''
_a = [True] * n
_a = False
_a = False
_a = True
for i in range(3 , int(n**0.5 + 1 ) , 2 ):
... | 612 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: Optional[int] , UpperCamelCase_: str ) -> List[Any]:
'''simple docstring'''
_a = (boundary[1] - boundary[0]) / steps
_a = boundary[0]
_a = boundary[1]
_a = ... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: list[int] , UpperCamelCase_: str ) -> list[int]:
'''simple docstring'''
_a = int(UpperCamelCase_ )
# Initialize Result
_a = []
# Traverse through all denomination... | 612 |
"""simple docstring"""
import os
from typing import BinaryIO, Optional, Union
import numpy as np
import pyarrow.parquet as pq
from .. import Audio, Dataset, Features, Image, NamedSplit, Value, config
from ..features.features import FeatureType, _visit
from ..formatting import query_table
from ..packaged_mo... | 612 | 1 |
"""simple docstring"""
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowercase_ (_UpperCAmelCase ):
A__ : Union[str, Any] = ['''image_processor''', '''tokenizer''']
A__ : Tuple = '... | 612 |
"""simple docstring"""
import torch
from diffusers import KDPMaDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Tuple = (KDPMaDiscreteScheduler,)
A__ : Tuple ... | 612 | 1 |
"""simple docstring"""
from math import isqrt
def lowerCAmelCase ( UpperCamelCase_: int ) -> list[int]:
'''simple docstring'''
_a = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
if is_prime[i]:
for ... | 612 |
"""simple docstring"""
# Copyright 2021 The HuggingFace 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.... | 612 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowercase_ (metaclass=_UpperCAmelCase ):
A__ : List[str] = ['''torch''']
def __init__( self , *a_ , **a_ ) ->Tuple:
'''simple docstring'''
r... | 612 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> list:
'''simple docstring'''
_a = [True] * n
_a = False
_a = False
_a = True
for i in range(3 , int(n**0.5 + 1 ) , 2 ):
... | 612 | 1 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings_flax im... | 612 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sage... | 612 | 1 |
"""simple docstring"""
import argparse
import json
import subprocess
def lowerCAmelCase ( UpperCamelCase_: Dict , UpperCamelCase_: Tuple ) -> str:
'''simple docstring'''
_a = []
_a = (
f'''curl -H "Accept: application/vn... | 612 |
"""simple docstring"""
import tempfile
import torch
from diffusers import PNDMScheduler
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Union[str, Any] = (PNDMScheduler,)
A__ : Optional[int] = (('''num_inferenc... | 612 | 1 |
"""simple docstring"""
import logging
import os
import threading
import time
try:
import warnings
except ImportError:
UpperCamelCase = None
try:
import msvcrt
except ImportError:
UpperCamelCase = None
try:
import fcntl
except ImportError:
Uppe... | 612 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Generic, TypeVar
UpperCamelCase = TypeVar("""T""")
UpperCamelCase = TypeVar("""U""")
class lowercase_ (Generic[T, U] ):
def __init__( ... | 612 | 1 |
"""simple docstring"""
import html
from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends
if is_bsa_available():
import bsa
from bsa import BeautifulSoup
UpperCamelCase = logging.get_logger(... | 612 |
"""simple docstring"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMSche... | 612 | 1 |
"""simple docstring"""
import inspect
import unittest
from math import floor
from transformers import CvtConfig
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_... | 612 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_commo... | 612 | 1 |
"""simple docstring"""
class lowercase_ :
def __init__( self , a_ ) ->None:
'''simple docstring'''
_a = len(a_ )
_a = [0] * len_array
if len_array > 0:
_a = array[0]
for i in range(1 , a_ ):
... | 612 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowercase_ (metaclass=_UpperCAmelCase ):
A__ : Any = ['''torch''', '''torchsde''']
def __init__( self , *a_ , **a_ ) ->Optional[int]:
'''simple docstr... | 612 | 1 |
"""simple docstring"""
from collections.abc import Sequence
def lowerCAmelCase ( UpperCamelCase_: Sequence[int] | None = None ) -> int:
'''simple docstring'''
if nums is None or not nums:
raise ValueError("Input sequence should not be empty" )... | 612 |
"""simple docstring"""
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def lowerCAmelCase ( UpperCamelCase_: ndarray ) -> float:
'''simple docstring'''
return np.dot(UpperCamelCase_ , Uppe... | 612 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
UpperCamelCase = {
"""configuration_vision_encoder_decoder""": ["""VisionEncoderDeco... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_... | 612 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
... | 612 |
"""simple docstring"""
import argparse
import json
import os
from collections import OrderedDict
import numpy as np
import tensorflow as tf
import torch
def lowerCAmelCase ( UpperCamelCase_: Dict ) -> Any:
'''simple docstring'''
_a = os.path.jo... | 612 | 1 |
"""simple docstring"""
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMInverseScheduler,
DDIMScheduler,
DPMSolverMul... | 612 |
"""simple docstring"""
import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...models.auto.modeling_auto import MODEL_FOR_QUESTION_ANSWERING_MA... | 612 | 1 |
"""simple docstring"""
import json
import os
from dataclasses import dataclass
from functools import partial
from typing import Callable
import flax.linen as nn
import jax
import jax.numpy as jnp
import joblib
import optax
import wandb
from flax import jax_utils, struct, traverse_util
from flax.serializatio... | 612 |
"""simple docstring"""
# 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/LICEN... | 612 | 1 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: Any , UpperCamelCase_: Dict ) -> List[str]:
'''simple docstring'''
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * ... | 612 |
"""simple docstring"""
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all image processors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_t... | 612 | 1 |
"""simple docstring"""
from datasets.utils.patching import _PatchedModuleObj, patch_submodule
from . import _test_patching
def lowerCAmelCase ( ) -> List[Any]:
'''simple docstring'''
import os as original_os
from os import path as original_path
from os imp... | 612 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_yolos import YolosImageProcessor
UpperCamelCase = logging.get_logger(__name__)
class lowercase_ (_UpperCAmelCase ):
def __init__( self , *a_ , **a_ ) ->No... | 612 | 1 |
"""simple docstring"""
from PIL import Image
def lowerCAmelCase ( UpperCamelCase_: Image , UpperCamelCase_: float ) -> Image:
'''simple docstring'''
def brightness(UpperCamelCase_: int ) -> float:
return 128 + level + (c - 128)... | 612 |
"""simple docstring"""
import argparse
import json
import os
import numpy as np
import PIL
import requests
import tensorflow.keras.applications.efficientnet as efficientnet
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from tensorflow.keras.preprocessing import image
from t... | 612 | 1 |
"""simple docstring"""
print((lambda quine: quine % quine)("""print((lambda quine: quine %% quine)(%r))"""))
| 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
UpperCamelCase = {
"""configuration_transfo_xl""": ["""TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TransfoXLConfig"""],
... | 612 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"""google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
# S... | 612 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logg... | 612 | 1 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase ( UpperCamelCase_: str = "." ) -> Iterator[str]:
'''simple docstring'''
for dir_path, dir_names, filenames in os.walk(UpperCamelCase_ ):
_a = [d for... | 612 |
"""simple docstring"""
import copy
import fnmatch
import json
import os
import pickle as pkl
import shutil
import sys
import tarfile
import tempfile
from collections import OrderedDict
from contextlib import contextmanager
from functools import partial
from hashlib import shaaaa
from io import BytesIO
from p... | 612 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowercase_ (metaclass=_UpperCAmelCase ):
A__ : Optional[Any] = ['''onnx''']
def __init__( self , *a_ , **a_ ) ->Optional[int]:
'''simple docstring'''
... | 612 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: Optional[int] , UpperCamelCase_: str ) -> List[Any]:
'''simple docstring'''
_a = (boundary[1] - boundary[0]) / steps
_a = boundary[0]
_a = boundary[1]
_a = ... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import FunnelConfig, is_tf_available
from transformers.testing_utils import require_tf
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, ra... | 612 |
"""simple docstring"""
import os
from typing import BinaryIO, Optional, Union
import numpy as np
import pyarrow.parquet as pq
from .. import Audio, Dataset, Features, Image, NamedSplit, Value, config
from ..features.features import FeatureType, _visit
from ..formatting import query_table
from ..packaged_mo... | 612 | 1 |
"""simple docstring"""
from __future__ import annotations
import time
UpperCamelCase = list[tuple[int, int]]
UpperCamelCase = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstacles
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, ... | 612 |
"""simple docstring"""
import torch
from diffusers import KDPMaDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Tuple = (KDPMaDiscreteScheduler,)
A__ : Tuple ... | 612 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_... | 612 |
"""simple docstring"""
# Copyright 2021 The HuggingFace 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.... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: str , UpperCamelCase_: list[str] ) -> str:
'''simple docstring'''
_a = ""
for word_or_phrase in separated:
if not isinstance(UpperCamelCase_ , UpperCamelCase_ ):
... | 612 |
"""simple docstring"""
import math
def lowerCAmelCase ( UpperCamelCase_: int ) -> list:
'''simple docstring'''
_a = [True] * n
_a = False
_a = False
_a = True
for i in range(3 , int(n**0.5 + 1 ) , 2 ):
... | 612 | 1 |
"""simple docstring"""
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, normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import (
... | 612 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sage... | 612 | 1 |
"""simple docstring"""
import math
import sys
def lowerCAmelCase ( UpperCamelCase_: int ) -> int:
'''simple docstring'''
if number != int(UpperCamelCase_ ):
raise ValueError("the value of input must be a natural number" )
if number < 0:
... | 612 |
"""simple docstring"""
import tempfile
import torch
from diffusers import PNDMScheduler
from .test_schedulers import SchedulerCommonTest
class lowercase_ (_UpperCAmelCase ):
A__ : Union[str, Any] = (PNDMScheduler,)
A__ : Optional[int] = (('''num_inferenc... | 612 | 1 |
"""simple docstring"""
import argparse
import os
import torch
from transformers import (
XLNetConfig,
XLNetForQuestionAnswering,
XLNetForSequenceClassification,
XLNetLMHeadModel,
load_tf_weights_in_xlnet,
)
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging
UpperCamelCa... | 612 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Generic, TypeVar
UpperCamelCase = TypeVar("""T""")
UpperCamelCase = TypeVar("""U""")
class lowercase_ (Generic[T, U] ):
def __init__( ... | 612 | 1 |
"""simple docstring"""
from pathlib import Path
import fire
def lowerCAmelCase ( UpperCamelCase_: str , UpperCamelCase_: str , UpperCamelCase_: int ) -> Optional[int]:
'''simple docstring'''
_a = Path(UpperCamelCase_ )
... | 612 |
"""simple docstring"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMSche... | 612 | 1 |
"""simple docstring"""
def lowerCAmelCase ( UpperCamelCase_: str ) -> list[int]:
'''simple docstring'''
_a = [0 for i in range(len(UpperCamelCase_ ) )]
# initialize interval's left pointer and right pointer
_a , _a = 0, 0
for i... | 612 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_commo... | 612 | 1 |
"""simple docstring"""
import numpy as np
class lowercase_ :
def __init__( self ) ->List[Any]:
'''simple docstring'''
_a = (0, 0)
_a = None
_a = 0
_a = 0
_a = 0
def __eq__( self ... | 612 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowercase_ (metaclass=_UpperCAmelCase ):
A__ : Any = ['''torch''', '''torchsde''']
def __init__( self , *a_ , **a_ ) ->Optional[int]:
'''simple docstr... | 612 | 1 |
"""simple docstring"""
import os
import pytest
import yaml
from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict
@pytest.mark.parametrize(
"files" , [
["full:README.md", "dataset_infos.json"],
["empty:README.md", "datase... | 612 |
"""simple docstring"""
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def lowerCAmelCase ( UpperCamelCase_: ndarray ) -> float:
'''simple docstring'''
return np.dot(UpperCamelCase_ , Uppe... | 612 | 1 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_commo... | 612 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_... | 612 | 1 |
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