code stringlengths 86 54.5k | code_codestyle int64 0 371 | style_context stringlengths 87 49.2k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
from typing import TYPE_CHECKING
import torch
from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool
if TYPE_CHECKING:
from PIL import Image
class a__ ( S... | 358 |
"""simple docstring"""
import os
from pathlib import Path
def lowercase__ ( ) -> str:
'''simple docstring'''
from torch.utils.cpp_extension import load
lowercase : List[str] = Path(_UpperCAmelCase ).resolve().parent.pare... | 53 | 0 |
"""simple docstring"""
import asyncio
import os
import re
import sys
import tempfile
import unittest
from contextlib import contextmanager
from copy import deepcopy
from distutils.util import strtobool
from enum import Enum
from importlib.util import find_spec
from pathlib import Path
from ... | 359 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_UpperCamelCase: str = logging.get_logger(__name__)
_UpperCamelCase: Union[str, Any] = {
'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba... | 53 | 0 |
"""simple docstring"""
from collections.abc import Sequence
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase = False ) -> float:
'''simple docstring'''
if not arr:
return 0
lowercase : List[str] = 0 if allow_empty_subarrays else ... | 360 |
"""simple docstring"""
# coding=utf-8
# Copyright 2020 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/license... | 53 | 0 |
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
_UpperCamelCase: List[str] = {'configuration_van': ['VAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VanConfig']}
try:
if not is_torch_available()... | 361 |
"""simple docstring"""
from typing import Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import get_image_size, pad, rescale, to_channel_dimension_format
from ...image_utils import ChannelDimension, ImageInput, ... | 53 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections import namedtuple
from dataclasses import dataclass
@dataclass
class a__ :
_lowerCamelCase = 42
_lowerCamelCase = None
_lowerCamelCase = None
UpperCamelCa... | 362 |
"""simple docstring"""
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_ba... | 53 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable
_UpperCamelCase: str = {
'configuration_gpt_neox_japanese': ['GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHI... | 363 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase ) -> int:
'''simple docstring'''
assert isinstance(_UpperCAmelCase , _UpperCAmelCase ), f'''The input value of [n={number}] is not an integer'''
if number == 1:
ret... | 53 | 0 |
"""simple docstring"""
import argparse
import importlib
from pathlib import Path
# Test all the extensions added in the setup
_UpperCamelCase: int = [
'kernels/rwkv/wkv_cuda.cu',
'kernels/rwkv/wkv_op.cpp',
'kernels/deformable_detr/ms_deform_attn.h',
'kernel... | 364 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKIN... | 53 | 0 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase = 10**12 ) -> int:
'''simple docstring'''
lowercase : Union[str, Any] = 1
lowercase : Dict = 0
lowercase : int = 1
lowercase : An... | 365 |
"""simple docstring"""
import unittest
from transformers import DonutProcessor
_UpperCamelCase: Any = 'naver-clova-ix/donut-base'
class a__ ( unittest.TestCase ):
def lowercase ( self : Optional[Any] ) -> Tuple:
... | 53 | 0 |
"""simple docstring"""
import qiskit
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> qiskit.result.counts.Counts:
'''simple docstring'''
lowercase : str = qiskit.Aer.get_backend('''aer_simulator''' )
# Create ... | 366 |
"""simple docstring"""
from collections.abc import Sequence
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase = False ) -> float:
'''simple docstring'''
if not arr:
return 0
lowercase : List[str] = 0 if al... | 53 | 0 |
"""simple docstring"""
import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock
import torch
from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_comman... | 367 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, ... | 53 | 0 |
"""simple docstring"""
import logging
import math
import os
from dataclasses import dataclass, field
from glob import glob
from typing import Optional
from torch.utils.data import ConcatDataset
import transformers
from transformers import (
CONFIG_MAPPING,
MODEL_WITH_LM_HEAD_MAPPI... | 368 |
"""simple docstring"""
from collections import defaultdict
from typing import Optional
from ..image_utils import load_image
from ..utils import (
add_end_docstrings,
is_torch_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if ... | 53 | 0 |
"""simple docstring"""
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
_U... | 369 |
"""simple docstring"""
_UpperCamelCase: Dict = 2_5_6
# Modulus to hash a string
_UpperCamelCase: Union[str, Any] = 1_0_0_0_0_0_3
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> bool:
'''simple docstring''... | 53 | 0 |
"""simple docstring"""
import argparse
import os
from pathlib import Path
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import PegasusConfig, PegasusForConditionalGeneration, PegasusTokenizer
from transformers.models.pegasus.configurati... | 370 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
_UpperCamelCase: Dict = {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}
try:
if not is_torch_av... | 53 | 0 |
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotSmallConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_common import... | 371 |
"""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/li... | 53 | 0 |
"""simple docstring"""
from __future__ import annotations
_UpperCamelCase: Any = list[list[int]]
# assigning initial values to the grid
_UpperCamelCase: Matrix = [
[3, 0, 6, 5, 0, 8, 4, 0, 0],
[5, 2, 0, 0, 0, 0, 0, 0, 0],
[0, 8, 7, 0, 0, 0, 0, 3... | 350 |
"""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
fro... | 53 | 0 |
"""simple docstring"""
import argparse
import os
import re
import numpy as np
import PIL
import torch
from timm import create_model
from torch.optim.lr_scheduler import OneCycleLR
from torch.utils.data import DataLoader, Dataset
from torchvision.transforms import Compose, RandomResizedCrop, ... | 351 |
"""simple docstring"""
import argparse
import requests
import torch
# pip3 install salesforce-lavis
# I'm actually installing a slightly modified version: pip3 install git+https://github.com/nielsrogge/LAVIS.git@fix_lavis
from lavis.models import load_model_and_preprocess
from PIL import Imag... | 53 | 0 |
"""simple docstring"""
from __future__ import annotations
from typing import Any
class a__ :
def __init__( self : Union[str, Any], lowerCAmelCase : int = 6 ) -> None:
lowercase : Node | None = None
lowercase ... | 352 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
... | 53 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
import numpy as np
import torch
import torchaudio.compliance.kaldi as ta_kaldi
from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import BatchFeature
from ...utils import Pa... | 353 |
"""simple docstring"""
import datasets
from .evaluate import evaluate
_UpperCamelCase: str = '\\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 ... | 53 | 0 |
"""simple docstring"""
import argparse
import requests
import torch
# pip3 install salesforce-lavis
# I'm actually installing a slightly modified version: pip3 install git+https://github.com/nielsrogge/LAVIS.git@fix_lavis_float32 (there's also the fix_lavis branch)
# also note: to convert Vicu... | 354 |
"""simple docstring"""
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
_U... | 53 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool
if TYPE_CHECKING:
from PIL import Image
class a__ ( SCREAMING_SNAKE_CASE__ ):
_lowerCame... | 355 |
"""simple docstring"""
import os
import unittest
from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class a__ ( SCREAMING_SNAKE_CASE__, unittest.TestCase ):
_l... | 53 | 0 |
"""simple docstring"""
import argparse
import re
from typing import Dict
import torch
from datasets import Audio, Dataset, load_dataset, load_metric
from transformers import AutoFeatureExtractor, pipeline
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> ... | 356 |
"""simple docstring"""
from typing import Dict, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import flip_channel_order, resize, to_channel_dimension_format, to_pil_image
from ...image_utils impo... | 53 | 0 |
"""simple docstring"""
import math
def lowercase__ ( _UpperCAmelCase ) -> int:
'''simple docstring'''
if not isinstance(_UpperCAmelCase , _UpperCAmelCase ):
lowercase : Optional[Any] = f'''Input value of [number={n... | 357 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase ) -> list:
'''simple docstring'''
lowercase : Dict = len(_UpperCAmelCase )
for i in range(1 , _UpperCAmelCase ):
lowercase : Union[str, Any] = ... | 53 | 0 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase ) -> list:
'''simple docstring'''
lowercase : Any = len(_UpperCAmelCase )
for _ in range(_UpperCAmelCase ):
for i in range(_ % 2 , arr_size - 1 , 2 ):... | 358 |
"""simple docstring"""
import os
from pathlib import Path
def lowercase__ ( ) -> str:
'''simple docstring'''
from torch.utils.cpp_extension import load
lowercase : List[str] = Path(_UpperCAmelCase ).resolve().parent.pare... | 53 | 0 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...t... | 359 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_UpperCamelCase: str = logging.get_logger(__name__)
_UpperCamelCase: Union[str, Any] = {
'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba... | 53 | 0 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase ) -> int:
'''simple docstring'''
if not numbers:
return 0
if not isinstance(_UpperCAmelCase , (list, tuple) ) or not all(
isinstance(_UpperCAmelCase , _UpperCAmelCase ) for ... | 360 |
"""simple docstring"""
# coding=utf-8
# Copyright 2020 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/license... | 53 | 0 |
def lowercase__ ( _UpperCAmelCase = 50_00_00_00 ) -> int:
'''simple docstring'''
lowercase : int = set()
lowercase : Any = int((limit - 24) ** (1 / 2) )
lowercase : Union[str, Any] = set(range(3 , prime_... | 361 |
"""simple docstring"""
from typing import Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import get_image_size, pad, rescale, to_channel_dimension_format
from ...image_utils import ChannelDimension, ImageInput, ... | 53 | 0 |
"""simple docstring"""
import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from cookiecutter.main import cookiec... | 362 |
"""simple docstring"""
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_ba... | 53 | 0 |
"""simple docstring"""
import pickle
import unittest
import torch
from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class a__ ( unittest.TestCase ):
def lowercase ( ... | 363 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase ) -> int:
'''simple docstring'''
assert isinstance(_UpperCAmelCase , _UpperCAmelCase ), f'''The input value of [n={number}] is not an integer'''
if number == 1:
ret... | 53 | 0 |
"""simple docstring"""
import logging
import torch
from accelerate import Accelerator
from arguments import EvaluationArguments
from datasets import load_dataset
from torch.utils.data import IterableDataset
from torch.utils.data.dataloader import DataLoader
from transformers import AutoModel... | 364 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKIN... | 53 | 0 |
"""simple docstring"""
import datasets
from .evaluate import evaluate
_UpperCamelCase: str = '\\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 ... | 365 |
"""simple docstring"""
import unittest
from transformers import DonutProcessor
_UpperCamelCase: Any = 'naver-clova-ix/donut-base'
class a__ ( unittest.TestCase ):
def lowercase ( self : Optional[Any] ) -> Tuple:
... | 53 | 0 |
"""simple docstring"""
import unittest
import numpy as np
from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_avail... | 366 |
"""simple docstring"""
from collections.abc import Sequence
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase = False ) -> float:
'''simple docstring'''
if not arr:
return 0
lowercase : List[str] = 0 if al... | 53 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
_UpperCamelCase: Dict = {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}
try:
if not is_torch_av... | 367 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, ... | 53 | 0 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase : Optional[Any] = 10 ) -> str:
'''simple docstring'''
if not isinstance(_UpperCAmelCase , _UpperCAmelCase ) or n < 0:
raise ValueError('Invalid input' )
lowercas... | 368 |
"""simple docstring"""
from collections import defaultdict
from typing import Optional
from ..image_utils import load_image
from ..utils import (
add_end_docstrings,
is_torch_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if ... | 53 | 0 |
"""simple docstring"""
import unittest
from dataclasses import dataclass
import pytest
from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict
@dataclass
class a__ ... | 369 |
"""simple docstring"""
_UpperCamelCase: Dict = 2_5_6
# Modulus to hash a string
_UpperCamelCase: Union[str, Any] = 1_0_0_0_0_0_3
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> bool:
'''simple docstring''... | 53 | 0 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import evaluate
import numpy as np
import torch
from datasets import load_dataset
from PIL import Image
from torchvision.transforms import (
CenterCrop,
... | 370 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
_UpperCamelCase: Dict = {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}
try:
if not is_torch_av... | 53 | 0 |
def lowercase__ ( _UpperCAmelCase = 1_00_00_00 ) -> int:
'''simple docstring'''
lowercase : Optional[int] = [i - 1 for i in range(limit + 1 )]
for i in range(2 , limit + 1 ):
if phi[i] == i - 1:
for... | 371 |
"""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/li... | 53 | 0 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_beit import BeitImageProcessor
_UpperCamelCase: List[str] = logging.get_logger(__name__)
class a__ ( SCREAMING_SNAKE_CASE__ ):
def __init__( self : ... | 350 |
"""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
fro... | 53 | 0 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKIN... | 351 |
"""simple docstring"""
import argparse
import requests
import torch
# pip3 install salesforce-lavis
# I'm actually installing a slightly modified version: pip3 install git+https://github.com/nielsrogge/LAVIS.git@fix_lavis
from lavis.models import load_model_and_preprocess
from PIL import Imag... | 53 | 0 |
"""simple docstring"""
import os
import time
import warnings
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...tokenization_utils_base import PreTra... | 352 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
... | 53 | 0 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> float:
'''simple docstring'''
if digit_amount > 0:
return round(number - int(_UpperCAmelCase ) , _UpperCAmelCase )
return number - int(_Uppe... | 353 |
"""simple docstring"""
import datasets
from .evaluate import evaluate
_UpperCamelCase: str = '\\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 ... | 53 | 0 |
"""simple docstring"""
import os
import shutil
import sys
import tempfile
import unittest
from pathlib import Path
import pytest
import transformers
from transformers import (
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
AutoTokenizer,
BertConf... | 354 |
"""simple docstring"""
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
_U... | 53 | 0 |
"""simple docstring"""
import warnings
from .state import AcceleratorState, GradientState
warnings.filterwarnings('ignore', category=UserWarning, module='torch.optim.lr_scheduler')
class a__ :
def __init__( self : List[Any], lowerCAmelCase : Tuple,... | 355 |
"""simple docstring"""
import os
import unittest
from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class a__ ( SCREAMING_SNAKE_CASE__, unittest.TestCase ):
_l... | 53 | 0 |
"""simple docstring"""
import os
from collections import deque
import torch
from torch.utils.data import Dataset
class a__ ( SCREAMING_SNAKE_CASE__ ):
def __init__( self : str, lowerCAmelCase : Dict="", lowerCAmelCase : List[Any]="t... | 356 |
"""simple docstring"""
from typing import Dict, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import flip_channel_order, resize, to_channel_dimension_format, to_pil_image
from ...image_utils impo... | 53 | 0 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logg... | 357 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase ) -> list:
'''simple docstring'''
lowercase : Dict = len(_UpperCAmelCase )
for i in range(1 , _UpperCAmelCase ):
lowercase : Union[str, Any] = ... | 53 | 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
_UpperCamelCase: Optional[int] = logging.get_logger... | 358 |
"""simple docstring"""
import os
from pathlib import Path
def lowercase__ ( ) -> str:
'''simple docstring'''
from torch.utils.cpp_extension import load
lowercase : List[str] = Path(_UpperCAmelCase ).resolve().parent.pare... | 53 | 0 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProces... | 359 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_UpperCamelCase: str = logging.get_logger(__name__)
_UpperCamelCase: Union[str, Any] = {
'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba... | 53 | 0 |
"""simple docstring"""
import unittest
import numpy as np
import requests
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_input... | 360 |
"""simple docstring"""
# coding=utf-8
# Copyright 2020 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/license... | 53 | 0 |
import random
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> tuple:
'''simple docstring'''
lowercase : Optional[Any] = [], [], []
for element in data:
if element < pivot:
less.append(_Upper... | 361 |
"""simple docstring"""
from typing import Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import get_image_size, pad, rescale, to_channel_dimension_format
from ...image_utils import ChannelDimension, ImageInput, ... | 53 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase_: Union[str, Any] = {
'configuration_timesformer': ['TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TimesformerConfig'... | 362 |
"""simple docstring"""
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_ba... | 53 | 0 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase , _UpperCAmelCase ) -> float:
'''simple docstring'''
if principal <= 0:
raise Exception('Principal borrowed must be > 0' )
if rate_per_annum < 0:... | 363 |
"""simple docstring"""
def lowercase__ ( _UpperCAmelCase ) -> int:
'''simple docstring'''
assert isinstance(_UpperCAmelCase , _UpperCAmelCase ), f'''The input value of [n={number}] is not an integer'''
if number == 1:
ret... | 53 | 0 |
"""simple docstring"""
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_... | 364 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKIN... | 53 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_UpperCamelCase: Optional[int] = logging.get_logger(__name__)
_UpperCamelCase: List[str] = {
'funnel-transformer/small': 'https://huggingface.co/funn... | 365 |
"""simple docstring"""
import unittest
from transformers import DonutProcessor
_UpperCamelCase: Any = 'naver-clova-ix/donut-base'
class a__ ( unittest.TestCase ):
def lowercase ( self : Optional[Any] ) -> Tuple:
... | 53 | 0 |
"""simple docstring"""
_UpperCamelCase: Dict = 2_5_6
# Modulus to hash a string
_UpperCamelCase: Union[str, Any] = 1_0_0_0_0_0_3
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> bool:
'''simple docstring''... | 366 |
"""simple docstring"""
from collections.abc import Sequence
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase = False ) -> float:
'''simple docstring'''
if not arr:
return 0
lowercase : List[str] = 0 if al... | 53 | 0 |
"""simple docstring"""
import argparse
import torch
from transformers import GPTaConfig, GPTaModel, load_tf_weights_in_gpta
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging
logging.set_verbosity_info()
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase... | 367 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, ... | 53 | 0 |
"""simple docstring"""
import os
from argparse import ArgumentParser, Namespace
from ..data import SingleSentenceClassificationProcessor as Processor
from ..pipelines import TextClassificationPipeline
from ..utils import is_tf_available, is_torch_available, logging
from . import BaseTransformers... | 368 |
"""simple docstring"""
from collections import defaultdict
from typing import Optional
from ..image_utils import load_image
from ..utils import (
add_end_docstrings,
is_torch_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if ... | 53 | 0 |
"""simple docstring"""
import argparse
import json
from collections import OrderedDict
import torch
from huggingface_hub import cached_download, hf_hub_url
from transformers import AutoImageProcessor, CvtConfig, CvtForImageClassification
def lowercase__ ( _UpperCAmelCase ... | 369 |
"""simple docstring"""
_UpperCamelCase: Dict = 2_5_6
# Modulus to hash a string
_UpperCamelCase: Union[str, Any] = 1_0_0_0_0_0_3
def lowercase__ ( _UpperCAmelCase , _UpperCAmelCase ) -> bool:
'''simple docstring''... | 53 | 0 |
"""simple docstring"""
import argparse
from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file # noqa: F401
from .default import default_command_parser
from .update import update_command_parser
def lowercase__ ( _UpperCAme... | 370 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
_UpperCamelCase: Dict = {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}
try:
if not is_torch_av... | 53 | 0 |
import argparse
import json
import logging
import os
import shutil
import sys
import tempfile
import unittest
from unittest import mock
import torch
from accelerate.utils import write_basic_config
from transformers.testing_utils import TestCasePlus, get_gpu_count, run_command, slow, torch_device
... | 371 |
"""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/li... | 53 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase = {
"""configuration_convnext""": ["""CONVNEXT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """Co... | 54 | """simple docstring"""
from __future__ import annotations
UpperCAmelCase = 8.988E9 # units = N * m^s * C^-2
def lowercase ( a__ : float , a__ : float , a__ : float , a__ : float ) -> dict[str, float]:
_UpperCamelCase = abs(chargea ... | 54 | 1 |
"""simple docstring"""
from arguments import InitializationArguments
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser
# Configuration
UpperCAmelCase = HfArgumentParser(InitializationArguments)
UpperCAmelCase = parser.parse_args()
# Load codeparrot tokenizer t... | 54 | """simple docstring"""
import copy
import json
import os
import tempfile
from transformers import is_torch_available
from .test_configuration_utils import config_common_kwargs
class UpperCAmelCase_ ( _lowercase):
def __init__( self : Any , __UpperCamelCase : Optional... | 54 | 1 |
"""simple docstring"""
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
UpperCAmelCase = """\
@inproceedings{wang2019glue,
title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
author={Wang, Alex... | 54 | """simple docstring"""
import qiskit
def lowercase ( a__ : int = 2 ) -> qiskit.result.counts.Counts:
_UpperCamelCase = qubits
# Using Aer's simulator
_UpperCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quan... | 54 | 1 |
"""simple docstring"""
import gzip
import hashlib
import json
import multiprocessing
import os
import re
import shutil
import time
from pathlib import Path
import numpy as np
from arguments import PreprocessingArguments
from datasets import load_dataset
from minhash_deduplication import deduplicate_dataset
from tran... | 54 | """simple docstring"""
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
UpperCAmelCase = """\
@inproceedings{wang2019glue,
title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
author={Wang, Alex... | 54 | 1 |
"""simple docstring"""
from __future__ import annotations
import unittest
import numpy as np
from transformers import OPTConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common impor... | 54 | """simple docstring"""
from __future__ import annotations
from PIL import Image
# Define glider example
UpperCAmelCase = [
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0,... | 54 | 1 |
"""simple docstring"""
import unittest
from transformers import SqueezeBertConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTest... | 54 | """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/LICENSE-2.0
#
#... | 54 | 1 |
"""simple docstring"""
import string
# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
UpperCAmelCase = {
"""E""": 12.70,
"""T""": 9.06,
"""A""": 8.17,
"""O""": 7.51,
"""I""": 6.97,
"""N""": 6.75,
"""S""": 6.33,
"""H""": 6.09,
"""R""": 5.99,
"""D""": ... | 54 | """simple docstring"""
from __future__ import annotations
import math
def lowercase ( a__ : int ) -> list[int]:
if num <= 0:
_UpperCamelCase = F'''{num}: Invalid input, please enter a positive integer.'''
raise ValueError(a__ )
_Upp... | 54 | 1 |
"""simple docstring"""
import argparse
import shlex
import runhouse as rh
if __name__ == "__main__":
# Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
# setup instructions, if using on-demand hardware
# If user passes --user <user> --hos... | 54 | """simple docstring"""
from typing import Callable, List, Optional, Tuple, Union
import torch
from transformers import CLIPTextModel, CLIPTokenizer
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin, TransformeraDModel, VQModel
from ...schedulers import VQDiffusionSch... | 54 | 1 |
"""simple docstring"""
import logging
import os
from .state import PartialState
class UpperCAmelCase_ ( logging.LoggerAdapter):
@staticmethod
def _UpperCamelCase ( __UpperCamelCase : Tuple ) -> Dict:
_UpperCamelCase = PartialState()
... | 54 | """simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}
... | 54 | 1 |
"""simple docstring"""
import re
def lowercase ( a__ : str ) -> list:
return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''' , str_ )]
def lowercase ( a__ : str ) -> str:
_UpperCamelCase = split_input(s... | 54 | """simple docstring"""
def lowercase ( a__ : Tuple , a__ : str ) -> Tuple:
return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2
def lowercase ( a__ : Optional[int] , a__ : List[str]=0 ) -> Optional[Any]:
return ... | 54 | 1 |
"""simple docstring"""
from ... import PretrainedConfig
UpperCAmelCase = {
"""sijunhe/nezha-cn-base""": """https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json""",
}
class UpperCAmelCase_ ( _lowercase):
snake_case__ = NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
... | 54 | """simple docstring"""
import unittest
from huggingface_hub import hf_hub_download
from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
from transformers.pipelines import VideoClassificationPipeline, pipeline
from transformers.testing_utils import (
is_pipeline_test,
nest... | 54 | 1 |
"""simple docstring"""
from math import sqrt
def lowercase ( a__ : int ) -> bool:
assert isinstance(a__ , a__ ) and (
number >= 0
), "'number' must been an int and positive"
_UpperCamelCase = True
# 0 and 1 are none primes.
if... | 54 | """simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noqa: F401
from .utils impor... | 54 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCAmelCase = {}
try:
if not is_sentencepiece_available():
raise OptionalDepende... | 54 | """simple docstring"""
import warnings
from typing import List
import numpy as np
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
from ...utils import is_flax_available, is_tf_available, is_torch_available
class UpperCAmelCase_ ( _lowercase):
... | 54 | 1 |
"""simple docstring"""
from math import ceil, sqrt
def lowercase ( a__ : int = 1000000 ) -> int:
_UpperCamelCase = 0
for outer_width in range(3 , (limit // 4) + 2 ):
if outer_width**2 > limit:
_UpperCamelCase = ma... | 54 | """simple docstring"""
import unittest
from transformers import PegasusConfig, PegasusTokenizer, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
if is_flax_ava... | 54 | 1 |
"""simple docstring"""
from __future__ import annotations
UpperCAmelCase = 8.988E9 # units = N * m^s * C^-2
def lowercase ( a__ : float , a__ : float , a__ : float , a__ : float ) -> dict[str, float]:
_UpperCamelCase = abs(chargea ... | 54 | """simple docstring"""
import importlib.metadata
import operator
import re
import sys
from typing import Optional
from packaging import version
UpperCAmelCase = {
"""<""": operator.lt,
"""<=""": operator.le,
"""==""": operator.eq,
"""!=""": operator.ne,
""">=""": operator.ge,
""">""":... | 54 | 1 |
"""simple docstring"""
import requests
from bsa import BeautifulSoup
def lowercase ( a__ : str = "AAPL" ) -> str:
_UpperCamelCase = F'''https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'''
_UpperCamelCase = BeautifulSoup(requests.get(a__ ... | 54 | """simple docstring"""
import numpy as np
def lowercase ( a__ : Optional[Any] , a__ : str , a__ : Union[str, Any] , a__ : Any , a__ : List[str] ) -> Dict:
_UpperCamelCase = int(np.ceil((x_end - xa) / h ) )
_UpperCamelCa... | 54 | 1 |
"""simple docstring"""
from __future__ import annotations
from typing import Any
class UpperCAmelCase_ :
def __init__( self : Dict , __UpperCamelCase : int , __UpperCamelCase : int , __UpperCamelCase : float = 0 ) -> None:
_UpperCam... | 54 | """simple docstring"""
import unittest
import numpy as np
from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
import jax.numpy... | 54 | 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_torch_availab... | 54 | """simple docstring"""
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 (
MobileViTConfig,
MobileViTForImageClassification,
MobileViTForSemanticSegmentation,
MobileViTImageProce... | 54 | 1 |
"""simple docstring"""
import argparse
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_controlnet_from_original_ckpt
if __name__ == "__main__":
UpperCAmelCase = argparse.ArgumentParser()
parser.add_argument(
"""--checkpoint_path""", default=None, type=str, required=True... | 54 | """simple docstring"""
from typing import List, Optional, Union
from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class ... | 54 | 1 |
"""simple docstring"""
import os
import re
import sys
import traceback
import warnings
from pathlib import Path
from typing import Dict, Optional, Union
from uuid import uuida
from huggingface_hub import HfFolder, ModelCard, ModelCardData, hf_hub_download, whoami
from huggingface_hub.file_download import REGEX_COMMIT... | 54 | """simple docstring"""
import unittest
from transformers import (
MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
TextaTextGenerationPipeline,
pipeline,
)
from transformers.testing_utils import is_pipeline_test, require_tf, require_torch
from transformers.utils impor... | 54 | 1 |
"""simple docstring"""
def lowercase ( ) -> int:
return 1
def lowercase ( a__ : int ) -> int:
return 0 if x < 0 else two_pence(x - 2 ) + one_pence()
def lowercase ( a__ : int ) -> int:
return 0 if x < 0 e... | 54 | """simple docstring"""
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from ...utils import deprecate
from ..controlnet.pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline # noqa:... | 54 | 1 |
"""simple docstring"""
import os
import re
import warnings
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from .tokenization_ta import TaTo... | 54 | """simple docstring"""
import argparse
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_controlnet_from_original_ckpt
if __name__ == "__main__":
UpperCAmelCase = argparse.ArgumentParser()
parser.add_argument(
"""--checkpoint_path""", default=None, type=str, required=True... | 54 | 1 |
"""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 .tokeniza... | 54 | """simple docstring"""
from __future__ import annotations
UpperCAmelCase = 8.988E9 # units = N * m^s * C^-2
def lowercase ( a__ : float , a__ : float , a__ : float , a__ : float ) -> dict[str, float]:
_UpperCamelCase = abs(chargea ... | 54 | 1 |
"""simple docstring"""
import argparse
import os
from pathlib import Path
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import PegasusConfig, PegasusForConditionalGeneration, PegasusTokenizer
from transformers.models.pegasus.configuration_pegasus import DEFAULTS... | 54 | """simple docstring"""
import copy
import json
import os
import tempfile
from transformers import is_torch_available
from .test_configuration_utils import config_common_kwargs
class UpperCAmelCase_ ( _lowercase):
def __init__( self : Any , __UpperCamelCase : Optional... | 54 | 1 |
"""simple docstring"""
import copy
import json
import os
import tempfile
from transformers import is_torch_available
from .test_configuration_utils import config_common_kwargs
class UpperCAmelCase_ ( _lowercase):
def __init__( self : Any , __UpperCamelCase : Optional... | 54 | """simple docstring"""
import qiskit
def lowercase ( a__ : int = 2 ) -> qiskit.result.counts.Counts:
_UpperCamelCase = qubits
# Using Aer's simulator
_UpperCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quan... | 54 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCAmelCase = {
"""configuration_convbert""": ["""CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", "... | 54 | """simple docstring"""
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
UpperCAmelCase = """\
@inproceedings{wang2019glue,
title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
author={Wang, Alex... | 54 | 1 |
"""simple docstring"""
import json
import os
import unittest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers
from ...test_tokenization_common import TokenizerTest... | 54 | """simple docstring"""
from __future__ import annotations
from PIL import Image
# Define glider example
UpperCAmelCase = [
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0,... | 54 | 1 |
"""simple docstring"""
from collections.abc import Callable
import numpy as np
def lowercase ( a__ : Callable , a__ : float , a__ : float , a__ : float , a__ : float ) -> np.ndarray:
_UpperCamelCase = int(np.ceil((x_end - xa) / ste... | 54 | """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/LICENSE-2.0
#
#... | 54 | 1 |
"""simple docstring"""
from collections import defaultdict
from math import ceil, sqrt
def lowercase ( a__ : int = 1000000 , a__ : int = 10 ) -> int:
_UpperCamelCase = defaultdict(a__ )
for outer_width in range(3 , (t_limit // 4) + 2 ):
... | 54 | """simple docstring"""
from __future__ import annotations
import math
def lowercase ( a__ : int ) -> list[int]:
if num <= 0:
_UpperCamelCase = F'''{num}: Invalid input, please enter a positive integer.'''
raise ValueError(a__ )
_Upp... | 54 | 1 |
"""simple docstring"""
from __future__ import annotations
import csv
import requests
from bsa import BeautifulSoup
def lowercase ( a__ : str = "" ) -> dict[str, float]:
_UpperCamelCase = url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
_UpperCame... | 54 | """simple docstring"""
from typing import Callable, List, Optional, Tuple, Union
import torch
from transformers import CLIPTextModel, CLIPTokenizer
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin, TransformeraDModel, VQModel
from ...schedulers import VQDiffusionSch... | 54 | 1 |
"""simple docstring"""
# coding=utf-8
# Copyright 2020 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
#
# Unles... | 54 | """simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}
... | 54 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
UpperCAmelCase = {"""configuration_van""": ["""VAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VanConfig"""]}
try:
if not is_torch_available():
r... | 54 | """simple docstring"""
def lowercase ( a__ : Tuple , a__ : str ) -> Tuple:
return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2
def lowercase ( a__ : Optional[int] , a__ : List[str]=0 ) -> Optional[Any]:
return ... | 54 | 1 |
"""simple docstring"""
# using dfs for finding eulerian path traversal
def lowercase ( a__ : str , a__ : Dict , a__ : List[Any] , a__ : Dict=None ) -> str:
_UpperCamelCase = (path or []) + [u]
for v in graph[u]:
if visited_ed... | 54 | """simple docstring"""
import unittest
from huggingface_hub import hf_hub_download
from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
from transformers.pipelines import VideoClassificationPipeline, pipeline
from transformers.testing_utils import (
is_pipeline_test,
nest... | 54 | 1 |
"""simple docstring"""
from typing import Dict
from transformers import EvalPrediction, HfArgumentParser, TrainingArguments, is_torch_available
from transformers.testing_utils import (
TestCasePlus,
execute_subprocess_async,
get_torch_dist_unique_port,
require_torch_multi_gpu,
require_torch_neuron... | 54 | """simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noqa: F401
from .utils impor... | 54 | 1 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import torch
from datasets import load_dataset
from torchvision.transforms import Compose, Lambda, Normalize, RandomHorizontalFlip, RandomResizedCrop, ToTensor
from torchvision.transforms.fu... | 54 | """simple docstring"""
import warnings
from typing import List
import numpy as np
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
from ...utils import is_flax_available, is_tf_available, is_torch_available
class UpperCAmelCase_ ( _lowercase):
... | 54 | 1 |
"""simple docstring"""
# Copyright 2022 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-2.0
#
# Unle... | 54 | """simple docstring"""
import unittest
from transformers import PegasusConfig, PegasusTokenizer, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
if is_flax_ava... | 54 | 1 |
"""simple docstring"""
def lowercase ( a__ : int ) -> int:
assert (
isinstance(a__ , a__ ) and number_of_steps > 0
), F'''number_of_steps needs to be positive integer, your input {number_of_steps}'''
if number_of_steps == 1:
return 1
_UpperCa... | 54 | """simple docstring"""
import importlib.metadata
import operator
import re
import sys
from typing import Optional
from packaging import version
UpperCAmelCase = {
"""<""": operator.lt,
"""<=""": operator.le,
"""==""": operator.eq,
"""!=""": operator.ne,
""">=""": operator.ge,
""">""":... | 54 | 1 |
"""simple docstring"""
from __future__ import annotations
# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
UpperCAmelCase = 10
def lowercase ( a__ : int , a__ : int , a__ : list[i... | 54 | """simple docstring"""
import numpy as np
def lowercase ( a__ : Optional[Any] , a__ : str , a__ : Union[str, Any] , a__ : Any , a__ : List[str] ) -> Dict:
_UpperCamelCase = int(np.ceil((x_end - xa) / h ) )
_UpperCamelCa... | 54 | 1 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversation
UpperCAme... | 54 | """simple docstring"""
import unittest
import numpy as np
from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
import jax.numpy... | 54 | 1 |
"""simple docstring"""
import argparse
import os
import re
UpperCAmelCase = """src/transformers/models/auto"""
# re pattern that matches mapping introductions:
# SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
UpperCAmelCase = re.compile(r"""[A-Z_]+_MAPPING(\s+|_[A-Z_]... | 54 | """simple docstring"""
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 (
MobileViTConfig,
MobileViTForImageClassification,
MobileViTForSemanticSegmentation,
MobileViTImageProce... | 54 | 1 |
"""simple docstring"""
def lowercase ( a__ : int = 1000 ) -> int:
_UpperCamelCase = 2**power
_UpperCamelCase = 0
while n:
_UpperCamelCase , _UpperCamelCase = r + n % 10, n // 10
return r
if __name__ == "__m... | 54 | """simple docstring"""
from typing import List, Optional, Union
from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class ... | 54 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase = {
"""configuration_xlm_roberta_xl""": [
"""XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""",
"""XLMRobertaXLConfig""",
"""XL... | 54 | """simple docstring"""
import unittest
from transformers import (
MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
TextaTextGenerationPipeline,
pipeline,
)
from transformers.testing_utils import is_pipeline_test, require_tf, require_torch
from transformers.utils impor... | 54 | 1 |
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