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'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
lowerCAmelCase : Union[str, Any] = {
'''configuration_squeezebert''': [
'''SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
... | 39 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyImgaImgPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffusers.pipelines.kan... | 39 | 1 |
'''simple docstring'''
# Copyright 2021 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... | 39 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from itertools import chain
from typing import Optional, Union
import datasets
import numpy as np
import torch
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
... | 39 | 1 |
'''simple docstring'''
from collections.abc import Callable
import numpy as np
def __lowerCAmelCase ( lowerCamelCase : Callable , lowerCamelCase : float , lowerCamelCase : float , lowerCamelCase : float , lowerCamelCase : float ):
'''s... | 39 |
'''simple docstring'''
# flake8: noqa
# Lint as: python3
from typing import Dict, List, Optional, Type
from .. import config
from ..utils import logging
from .formatting import (
ArrowFormatter,
CustomFormatter,
Formatter,
PandasFormatter,
PythonFormatter,
TensorFormatter,
format_ta... | 39 | 1 |
'''simple docstring'''
import unittest
from transformers import DonutProcessor
lowerCAmelCase : int = '''naver-clova-ix/donut-base'''
class UpperCAmelCase__ ( unittest.TestCase ):
def UpperCAmelCase_ ( self ) -> Any:
__lowerCAmelCase = DonutProce... | 39 |
'''simple docstring'''
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision import transforms
from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
from transformers.image_utils import IM... | 39 | 1 |
'''simple docstring'''
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def __lowerCAmelCase ( lowerCamelCase : bytes , lowerCamelCase : int ):
'''simple docstring'''
__lowerCAmelCase = f''... | 39 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer
lowerCAmelCase : Optional[Any] = logging.... | 39 | 1 |
'''simple docstring'''
from __future__ import annotations
import requests
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = f'''https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty'''
return requests.get... | 39 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase ( lowerCamelCase : list ):
'''simple docstring'''
if not nums:
raise ValueError("List is empty" )
return sum(lowerCamelCase ) / len(lowerCamelCase )
if __name__ == "__main__":
im... | 39 | 1 |
'''simple docstring'''
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase : Optional[Any] = logging.get_logger(__name__)
lowerCAmelCase : str = {
'''huggingface/informer-tourism-monthly''': (
'''http... | 39 |
'''simple docstring'''
import re
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = re.compile(
r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$" )
return bool(re.search(lowerCamelCase , lowerC... | 39 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
lowerCAmelCase : Dict = logging.get_logger(__name__)
lowerCAmelCase : Optional[int] = {
''... | 39 |
'''simple docstring'''
import os
import sys
import unittest
lowerCAmelCase : str = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import get_test_info # noqa: E402
from get_test_info import ( # noqa: E402
get_m... | 39 | 1 |
'''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_CHECKING:
from transformer... | 39 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional
import torch
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin
@data... | 39 | 1 |
'''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
from .tokenization_gpta import GPTaTo... | 39 |
'''simple docstring'''
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def __lowerCAmelCase ( lowerCamelCase : bytes , lowerCamelCase : int ):
'''simple docstring'''
__lowerCAmelCase = f''... | 39 | 1 |
'''simple docstring'''
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property
fro... | 39 |
'''simple docstring'''
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def __lowerCAmelCase ( lowerCamelCase : List[str] ):
'''simple docstring'''
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_co... | 39 | 1 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : int ):
'''simple docstring'''
__lowerCAmelCase = int(lowerCamelCase )
if n_element < 1:
__lowerCAmelCase = ValueError("a should be a positive number" )
raise my_error
__lowerCA... | 39 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : Union[str, Any] ):
'''simple docstring'''
__lowerCAmelCase = 1
__lowerCAmelCase = 2
while i * i <= n:
__lowerCAmelCase = 0
while n % i == 0:
n //= i
multiplicity += 1
... | 39 | 1 |
'''simple docstring'''
import argparse
import torch
from transformers import RemBertConfig, RemBertModel, load_tf_weights_in_rembert
from transformers.utils import logging
logging.set_verbosity_info()
def __lowerCAmelCase ( lowerCamelCase : Any , lowerCamelCase : Dict , l... | 39 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase : Optional[Any] = logging.get_logger(__name__)
lowerCAmelCase : Optional[int] = {
'''facebook/dpr-ctx_encoder-single-nq-base''': (
'''https://huggingface.co/facebook/d... | 39 | 1 |
'''simple docstring'''
import tempfile
import unittest
from make_student import create_student_by_copying_alternating_layers
from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch
lowerCAmelCase : Tuple = '''sshleifer... | 39 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase : Union[str, Any] = {
'''configuration_distilbert''': ... | 39 | 1 |
'''simple docstring'''
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase : Optional[int] = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import check_copies #... | 39 |
'''simple docstring'''
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def __lo... | 39 | 1 |
'''simple docstring'''
import argparse
import math
import os
from copy import deepcopy
import torch
from audio_diffusion.models import DiffusionAttnUnetaD
from diffusion import sampling
from torch import nn
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNetaDModel
lowerCAmelCase : List[str] ... | 39 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
lowerCAmelCase : Optional[Any] = {
'''configuration_trocr''': ['''TROCR_PRETRAINED_CO... | 39 | 1 |
'''simple docstring'''
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase : Dict = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import check_copies # noqa: E4... | 39 |
'''simple docstring'''
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class UpperCAmelCase__ ( UpperCamelCase__ ):
a : List[str] = (CMStochasticIterativeScheduler,)
a : str = 1_... | 39 | 1 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_donut import DonutImageProcessor
lowerCAmelCase : List[Any] = logging.get_logger(__name__)
class UpperCAmelCase__ ( UpperCamelCase__ ):
def __init__( self , *UpperCamelCase , **Upp... | 39 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __lowerCAmelCase ( lowerCamelCase : str = "https://www.worldometers.info/coronavirus" ):
'''simple docstring'''
__lowerCAmelCase = BeautifulSoup(requests.get(lowerCamelCase ).text , ... | 39 | 1 |
'''simple docstring'''
from unittest import TestCase
from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters
def __lowerCAmelCase ( ):
'''simple docstring'''
__lowerCAmelCase = {
"repo_name": ["test_repo1", "test_rep... | 39 |
'''simple docstring'''
from __future__ import annotations
import math
def __lowerCAmelCase ( lowerCamelCase : list , lowerCamelCase : list ):
'''simple docstring'''
if len(lowerCamelCase ) != 2 or len(a[0] ) != 2 or len(lowerCamelCase ) != 2 or len(b[... | 39 | 1 |
'''simple docstring'''
import math
import unittest
from transformers import BioGptConfig, 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_mod... | 39 |
'''simple docstring'''
import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union
import torch
from ..utils import BaseOutput
lowerCAmelCase : Optional[Any] = '''scheduler_config.json'''
class UpperCAmelCase__ ( UpperCame... | 39 | 1 |
'''simple docstring'''
import argparse
import json
import os
from collections import OrderedDict
import numpy as np
import tensorflow as tf
import torch
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = os.path.join(args.tf... | 39 |
'''simple docstring'''
import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union
from .. import config
from .filelock import FileLock
fro... | 39 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
lowerCAmelCase : Dict = {
'''configuration_mobilenet_v2''': [
'''MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''MobileN... | 39 |
'''simple docstring'''
from abc import ABC, abstractmethod
from typing import List, Optional
class UpperCAmelCase__ ( UpperCamelCase__ ):
def __init__( self ) -> List[str]:
# test for the above condition
self.test()
def UpperCAmelCase_ ( self ) ... | 39 | 1 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaControlnetImgaImgPipeline,
KandinskyVaaPriorEmbaEmbPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import f... | 39 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyImgaImgPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffusers.pipelines.kan... | 39 | 1 |
'''simple docstring'''
import re
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = re.compile(
r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$" )
return bool(re.search(lowerCamelCase , lowerC... | 39 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from itertools import chain
from typing import Optional, Union
import datasets
import numpy as np
import torch
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
... | 39 | 1 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
HubertConfig,
HubertForCTC,
HubertModel,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaProcessor,
logging,
)
logging.se... | 39 |
'''simple docstring'''
# flake8: noqa
# Lint as: python3
from typing import Dict, List, Optional, Type
from .. import config
from ..utils import logging
from .formatting import (
ArrowFormatter,
CustomFormatter,
Formatter,
PandasFormatter,
PythonFormatter,
TensorFormatter,
format_ta... | 39 | 1 |
'''simple docstring'''
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_p... | 39 |
'''simple docstring'''
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision import transforms
from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
from transformers.image_utils import IM... | 39 | 1 |
'''simple docstring'''
import os
import unittest
from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class UpperCAmelCase__ ( UpperCamelCase__ , unittest.TestCase ):
a ... | 39 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer
lowerCAmelCase : Optional[Any] = logging.... | 39 | 1 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig
lowerCAmelCase : Any = logging.get_logger(__name__)
lowerCAmelCase : Optional[int] = {
'''Intel/dpt-large''': '''https://huggingface.co/Intel/dpt-lar... | 39 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase ( lowerCamelCase : list ):
'''simple docstring'''
if not nums:
raise ValueError("List is empty" )
return sum(lowerCamelCase ) / len(lowerCamelCase )
if __name__ == "__main__":
im... | 39 | 1 |
'''simple docstring'''
from __future__ import annotations
import csv
import requests
from bsa import BeautifulSoup
def __lowerCAmelCase ( lowerCamelCase : str = "" ):
'''simple docstring'''
__lowerCAmelCase = url or "https://www.imdb.com/chart/top/?ref_=nv_mv_2... | 39 |
'''simple docstring'''
import re
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = re.compile(
r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$" )
return bool(re.search(lowerCamelCase , lowerC... | 39 | 1 |
'''simple docstring'''
from itertools import zip_longest
import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def __lowerCAmelCase ( lowerCamelCase : str = "laptop" ):
'''simple docstring'''
__lowerCAmelCase = f'''https://www.amazon.in/lapt... | 39 |
'''simple docstring'''
import os
import sys
import unittest
lowerCAmelCase : str = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import get_test_info # noqa: E402
from get_test_info import ( # noqa: E402
get_m... | 39 | 1 |
'''simple docstring'''
import cmath
import math
def __lowerCAmelCase ( lowerCamelCase : float , lowerCamelCase : float , lowerCamelCase : float , lowerCamelCase : float ):
'''simple docstring'''
__lowerCAmelCase = math.radians(low... | 39 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional
import torch
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin
@data... | 39 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeli... | 39 |
'''simple docstring'''
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def __lowerCAmelCase ( lowerCamelCase : bytes , lowerCamelCase : int ):
'''simple docstring'''
__lowerCAmelCase = f''... | 39 | 1 |
'''simple docstring'''
from unittest.mock import patch
import pyspark
from datasets.packaged_modules.spark.spark import (
Spark,
SparkExamplesIterable,
_generate_iterable_examples,
)
from ..utils import (
require_dill_gt_0_3_2,
require_not_windows,
)
def __lowerCAmelCase ( l... | 39 |
'''simple docstring'''
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def __lowerCAmelCase ( lowerCamelCase : List[str] ):
'''simple docstring'''
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_co... | 39 | 1 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import BatchFeature, SpeechTaFeatureExtractor
from transformers.testing_utils import require_torch
from transformers.utils.import_utils import is_torch_available
from ...test_sequence_feature_extraction_... | 39 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : Union[str, Any] ):
'''simple docstring'''
__lowerCAmelCase = 1
__lowerCAmelCase = 2
while i * i <= n:
__lowerCAmelCase = 0
while n % i == 0:
n //= i
multiplicity += 1
... | 39 | 1 |
'''simple docstring'''
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
if is_torch_available():
from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
@require_torch
@r... | 39 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase : Optional[Any] = logging.get_logger(__name__)
lowerCAmelCase : Optional[int] = {
'''facebook/dpr-ctx_encoder-single-nq-base''': (
'''https://huggingface.co/facebook/d... | 39 | 1 |
'''simple docstring'''
from abc import ABC, abstractmethod
from typing import List, Optional
class UpperCAmelCase__ ( UpperCamelCase__ ):
def __init__( self ) -> List[str]:
# test for the above condition
self.test()
def UpperCAmelCase_ ( self ) ... | 39 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase : Union[str, Any] = {
'''configuration_distilbert''': ... | 39 | 1 |
'''simple docstring'''
from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable
try:
if not (is_transformers_available() and is_torch_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailabl... | 39 |
'''simple docstring'''
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def __lo... | 39 | 1 |
'''simple docstring'''
import unicodedata
from dataclasses import dataclass
from typing import Optional, Union
import numpy as np
from transformers.data.data_collator import DataCollatorMixin
from transformers.file_utils import PaddingStrategy
from transformers.tokenization_utils_base import PreTrainedTokenize... | 39 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
lowerCAmelCase : Optional[Any] = {
'''configuration_trocr''': ['''TROCR_PRETRAINED_CO... | 39 | 1 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : int ):
'''simple docstring'''
if length <= 0 or not isinstance(lowerCamelCase , lowerCamelCase ):
raise ValueError("Length must be a positive integer." )
return [n * (2 * n - 1) for n in range(lowerCa... | 39 |
'''simple docstring'''
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class UpperCAmelCase__ ( UpperCamelCase__ ):
a : List[str] = (CMStochasticIterativeScheduler,)
a : str = 1_... | 39 | 1 |
'''simple docstring'''
import hashlib
import unittest
from transformers import MODEL_FOR_DEPTH_ESTIMATION_MAPPING, is_torch_available, is_vision_available
from transformers.pipelines import DepthEstimationPipeline, pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
... | 39 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __lowerCAmelCase ( lowerCamelCase : str = "https://www.worldometers.info/coronavirus" ):
'''simple docstring'''
__lowerCAmelCase = BeautifulSoup(requests.get(lowerCamelCase ).text , ... | 39 | 1 |
'''simple docstring'''
import builtins
import sys
from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP
lowerCAmelCase : str = False
try:
lowerCAm... | 39 |
'''simple docstring'''
from __future__ import annotations
import math
def __lowerCAmelCase ( lowerCamelCase : list , lowerCamelCase : list ):
'''simple docstring'''
if len(lowerCamelCase ) != 2 or len(a[0] ) != 2 or len(lowerCamelCase ) != 2 or len(b[... | 39 | 1 |
'''simple docstring'''
from math import factorial
lowerCAmelCase : dict[str, int] = {str(digit): factorial(digit) for digit in range(1_0)}
def __lowerCAmelCase ( lowerCamelCase : int ):
'''simple docstring'''
if not isinstance(lowerCamelCase , lowerCamelCase )... | 39 |
'''simple docstring'''
import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union
import torch
from ..utils import BaseOutput
lowerCAmelCase : Optional[Any] = '''scheduler_config.json'''
class UpperCAmelCase__ ( UpperCame... | 39 | 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/LICENSE-2... | 39 |
'''simple docstring'''
import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union
from .. import config
from .filelock import FileLock
fro... | 39 | 1 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowerCAmelCase : Optional[int] = logging.get_logger(__name__)
lowerCAmelCase : Union[str, Any] = {
'''ut/deta''': '''https://huggingface.co/ut/... | 39 |
'''simple docstring'''
from abc import ABC, abstractmethod
from typing import List, Optional
class UpperCAmelCase__ ( UpperCamelCase__ ):
def __init__( self ) -> List[str]:
# test for the above condition
self.test()
def UpperCAmelCase_ ( self ) ... | 39 | 1 |
'''simple docstring'''
# This is the module that test_patching.py uses to test patch_submodule()
import os # noqa: this is just for tests
import os as renamed_os # noqa: this is just for tests
from os import path # noqa: this is just for tests
from os import path as renamed_path # noqa: this is just for tes... | 39 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyImgaImgPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffusers.pipelines.kan... | 39 | 1 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase ( lowerCamelCase : list[int] , lowerCamelCase : int ):
'''simple docstring'''
if len(lowerCamelCase ) < k or k < 0:
raise ValueError("Invalid Input" )
__lowerCAmelCase ... | 39 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from itertools import chain
from typing import Optional, Union
import datasets
import numpy as np
import torch
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
... | 39 | 1 |
'''simple docstring'''
from math import factorial
def __lowerCAmelCase ( lowerCamelCase : int , lowerCamelCase : int ):
'''simple docstring'''
if n < k or k < 0:
raise ValueError("Please enter positive integers for n and k where n >= k" )
return factorial(l... | 39 |
'''simple docstring'''
# flake8: noqa
# Lint as: python3
from typing import Dict, List, Optional, Type
from .. import config
from ..utils import logging
from .formatting import (
ArrowFormatter,
CustomFormatter,
Formatter,
PandasFormatter,
PythonFormatter,
TensorFormatter,
format_ta... | 39 | 1 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : List[str] , lowerCamelCase : Union[str, Any] ):
'''simple docstring'''
__lowerCAmelCase = [0 for i in range(r + 1 )]
# nc0 = 1
__lowerCAmelCase = 1
for i in range(1 , n ... | 39 |
'''simple docstring'''
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision import transforms
from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
from transformers.image_utils import IM... | 39 | 1 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : int , lowerCamelCase : int ):
'''simple docstring'''
if a < 0 or b < 0:
raise ValueError("the value of both inputs must be positive" )
__lowerCAmelCase = str(bin(lowerCamelCase ) ... | 39 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer
lowerCAmelCase : Optional[Any] = logging.... | 39 | 1 |
'''simple docstring'''
import os
import sys
from contextlib import contextmanager
# Windows only
if os.name == "nt":
import ctypes
import msvcrt # noqa
class UpperCAmelCase__ ( ctypes.Structure ):
# _fields is a specific attr expected by ctypes
a : Tuple = [(""... | 39 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase ( lowerCamelCase : list ):
'''simple docstring'''
if not nums:
raise ValueError("List is empty" )
return sum(lowerCamelCase ) / len(lowerCamelCase )
if __name__ == "__main__":
im... | 39 | 1 |
'''simple docstring'''
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision import transforms
from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
from transformers.image_utils import IM... | 39 |
'''simple docstring'''
import re
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = re.compile(
r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$" )
return bool(re.search(lowerCamelCase , lowerC... | 39 | 1 |
'''simple docstring'''
import unittest
from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property
from ...test_tokenization_c... | 39 |
'''simple docstring'''
import os
import sys
import unittest
lowerCAmelCase : str = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import get_test_info # noqa: E402
from get_test_info import ( # noqa: E402
get_m... | 39 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase : Union[str, Any] = {
'''configuration_distilbert''': ... | 39 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional
import torch
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin
@data... | 39 | 1 |
'''simple docstring'''
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def __lo... | 39 |
'''simple docstring'''
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def __lowerCAmelCase ( lowerCamelCase : bytes , lowerCamelCase : int ):
'''simple docstring'''
__lowerCAmelCase = f''... | 39 | 1 |
'''simple docstring'''
import torch
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
class UpperCAmelCase__ ( UpperCamelCase__ , UpperCamelCase__ ):
@register_to_config
def __init__( self , *,
... | 39 |
'''simple docstring'''
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def __lowerCAmelCase ( lowerCamelCase : List[str] ):
'''simple docstring'''
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_co... | 39 | 1 |
'''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFMo... | 39 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : Union[str, Any] ):
'''simple docstring'''
__lowerCAmelCase = 1
__lowerCAmelCase = 2
while i * i <= n:
__lowerCAmelCase = 0
while n % i == 0:
n //= i
multiplicity += 1
... | 39 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase : Optional[int] = logging.get_logger(__name__)
lowerCAmelCase : Union[str, Any] = {
'''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/config.json... | 39 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase : Optional[Any] = logging.get_logger(__name__)
lowerCAmelCase : Optional[int] = {
'''facebook/dpr-ctx_encoder-single-nq-base''': (
'''https://huggingface.co/facebook/d... | 39 | 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/LICENSE-2... | 39 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase : Union[str, Any] = {
'''configuration_distilbert''': ... | 39 | 1 |
'''simple docstring'''
import inspect
import unittest
from transformers import RegNetConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common imp... | 39 |
'''simple docstring'''
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def __lo... | 39 | 1 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimension
from ...utils import lo... | 39 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
lowerCAmelCase : Optional[Any] = {
'''configuration_trocr''': ['''TROCR_PRETRAINED_CO... | 39 | 1 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from torch import nn
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import KandinskyVaaPri... | 39 |
'''simple docstring'''
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class UpperCAmelCase__ ( UpperCamelCase__ ):
a : List[str] = (CMStochasticIterativeScheduler,)
a : str = 1_... | 39 | 1 |
'''simple docstring'''
import os
import textwrap
import pyarrow as pa
import pytest
from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv
from ..utils import require_pil
@pytest.fixture
def __lowerCAmelCase ( lowerCamelCase : Optional[Any] ... | 39 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __lowerCAmelCase ( lowerCamelCase : str = "https://www.worldometers.info/coronavirus" ):
'''simple docstring'''
__lowerCAmelCase = BeautifulSoup(requests.get(lowerCamelCase ).text , ... | 39 | 1 |
'''simple docstring'''
import warnings
from functools import wraps
from typing import Callable
def __lowerCAmelCase ( lowerCamelCase : Callable ):
'''simple docstring'''
@wraps(lowerCamelCase )
def _inner_fn(*lowerCamelCase : Any , **lowerCamelCase : D... | 39 |
'''simple docstring'''
from __future__ import annotations
import math
def __lowerCAmelCase ( lowerCamelCase : list , lowerCamelCase : list ):
'''simple docstring'''
if len(lowerCamelCase ) != 2 or len(a[0] ) != 2 or len(lowerCamelCase ) != 2 or len(b[... | 39 | 1 |
'''simple docstring'''
from math import factorial
def __lowerCAmelCase ( lowerCamelCase : int = 20 ):
'''simple docstring'''
__lowerCAmelCase = 2 * n # middle entry of odd rows starting at row 3 is the solution for n = 1,
# 2, 3,...
__lowerCAmelCase ... | 39 |
'''simple docstring'''
import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union
import torch
from ..utils import BaseOutput
lowerCAmelCase : Optional[Any] = '''scheduler_config.json'''
class UpperCAmelCase__ ( UpperCame... | 39 | 1 |
'''simple docstring'''
import itertools
import json
import os
import unittest
from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow
fr... | 39 |
'''simple docstring'''
import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union
from .. import config
from .filelock import FileLock
fro... | 39 | 1 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : int , lowerCamelCase : int ):
'''simple docstring'''
if number < 0 or shift_amount < 0:
raise ValueError("both inputs must be positive integers" )
__lowerCAmelCase = str(bin(lowerCamel... | 39 |
'''simple docstring'''
from abc import ABC, abstractmethod
from typing import List, Optional
class UpperCAmelCase__ ( UpperCamelCase__ ):
def __init__( self ) -> List[str]:
# test for the above condition
self.test()
def UpperCAmelCase_ ( self ) ... | 39 | 1 |
'''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modelin... | 39 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyImgaImgPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffusers.pipelines.kan... | 39 | 1 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer
lowerCAmelCase : Optional[Any] = logging.... | 39 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from itertools import chain
from typing import Optional, Union
import datasets
import numpy as np
import torch
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
... | 39 | 1 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import (
Diffus... | 39 |
'''simple docstring'''
# flake8: noqa
# Lint as: python3
from typing import Dict, List, Optional, Type
from .. import config
from ..utils import logging
from .formatting import (
ArrowFormatter,
CustomFormatter,
Formatter,
PandasFormatter,
PythonFormatter,
TensorFormatter,
format_ta... | 39 | 1 |
'''simple docstring'''
import tempfile
import unittest
import numpy as np
import transformers
from transformers import GPTaTokenizer, GPTJConfig, is_flax_available, is_torch_available
from transformers.testing_utils import is_pt_flax_cross_test, require_flax, tooslow
from ...generation.test_flax_utils import ... | 39 |
'''simple docstring'''
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision import transforms
from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
from transformers.image_utils import IM... | 39 | 1 |
'''simple docstring'''
import inspect
import unittest
from transformers import ViTConfig
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is_torch_available... | 39 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer
lowerCAmelCase : Optional[Any] = logging.... | 39 | 1 |
'''simple docstring'''
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, torc... | 39 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase ( lowerCamelCase : list ):
'''simple docstring'''
if not nums:
raise ValueError("List is empty" )
return sum(lowerCamelCase ) / len(lowerCamelCase )
if __name__ == "__main__":
im... | 39 | 1 |
'''simple docstring'''
import argparse
import logging
import os
import datasets
import tensorflow as tf
from transformers import AutoTokenizer
lowerCAmelCase : List[Any] = logging.getLogger(__name__)
def __lowerCAmelCase ( ):
'''simple docstring'''
__lowerCAmelCase ... | 39 |
'''simple docstring'''
import re
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = re.compile(
r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$" )
return bool(re.search(lowerCamelCase , lowerC... | 39 | 1 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : int , lowerCamelCase : bool = False ):
'''simple docstring'''
if n == 2:
return True
if not n % 2 or n < 2:
return False
if n > 5 and n % 10 not in (1, 3, 7, 9): # can quickly check last digit
re... | 39 |
'''simple docstring'''
import os
import sys
import unittest
lowerCAmelCase : str = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import get_test_info # noqa: E402
from get_test_info import ( # noqa: E402
get_m... | 39 | 1 |
'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import doctest
import sys
import warnings
from os.path import abspath, dirname, join
import _pytest
from transformers.testing_utils import HfDoctestModule, HfDocTestParser
# allow... | 39 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional
import torch
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin
@data... | 39 | 1 |
'''simple docstring'''
import logging
from dataclasses import dataclass, field
from typing import Optional
from seqaseq_trainer import arg_to_scheduler
from transformers import TrainingArguments
lowerCAmelCase : List[Any] = logging.getLogger(__name__)
@dataclass
class UpperCAmelCase__ ( Upp... | 39 |
'''simple docstring'''
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def __lowerCAmelCase ( lowerCamelCase : bytes , lowerCamelCase : int ):
'''simple docstring'''
__lowerCAmelCase = f''... | 39 | 1 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor
lowerCAmelCase : Any = logging.get_logger(__name__)
class UpperCAmelCase__ ( UpperCamelCase__ ):
def __init__( self , *UpperCamelCase , ... | 39 |
'''simple docstring'''
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def __lowerCAmelCase ( lowerCamelCase : List[str] ):
'''simple docstring'''
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_co... | 39 | 1 |
'''simple docstring'''
import re
from filelock import FileLock
try:
import nltk
lowerCAmelCase : Dict = True
except (ImportError, ModuleNotFoundError):
lowerCAmelCase : Tuple = False
if NLTK_AVAILABLE:
with FileLock('''.lock''') as lock:
nltk.download('''punkt''', quiet=True)
def __lo... | 39 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : Union[str, Any] ):
'''simple docstring'''
__lowerCAmelCase = 1
__lowerCAmelCase = 2
while i * i <= n:
__lowerCAmelCase = 0
while n % i == 0:
n //= i
multiplicity += 1
... | 39 | 1 |
'''simple docstring'''
from __future__ import annotations
import math
from collections.abc import Callable
def __lowerCAmelCase ( lowerCamelCase : Callable[[int | float], int | float] , lowerCamelCase : int | float , lowerCamelCase : int | float , lowerCamelCase ... | 39 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase : Optional[Any] = logging.get_logger(__name__)
lowerCAmelCase : Optional[int] = {
'''facebook/dpr-ctx_encoder-single-nq-base''': (
'''https://huggingface.co/facebook/d... | 39 | 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,
DPMSolverMultist... | 700 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase : Union[str, Any] = {
'''configuration_distilbert''': ... | 39 | 0 |
def __lowerCAmelCase ( lowerCamelCase : Optional[int] ):
'''simple docstring'''
if not isinstance(__A , __A ):
raise TypeError("only integers accepted as input" )
else:
__lowerCAmelCase = str(abs(__A ) )
__lowerCAmelCase = [list(_... | 701 |
'''simple docstring'''
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def __lo... | 39 | 0 |
'''simple docstring'''
from maths.prime_factors import prime_factors
def __lowerCAmelCase ( lowerCamelCase : Optional[Any] ):
'''simple docstring'''
if not isinstance(_SCREAMING_SNAKE_CASE , _SCREAMING_SNAKE_CASE ):
__lowerCAmelCase = f'''Input value of... | 702 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
lowerCAmelCase : Optional[Any] = {
'''configuration_trocr''': ['''TROCR_PRETRAINED_CO... | 39 | 0 |
'''simple docstring'''
from numpy import exp, pi, sqrt
def __lowerCAmelCase ( lowerCamelCase : int , lowerCamelCase : int = 0.0 , lowerCamelCase : List[str] = 1.0 ):
'''simple docstring'''
return 1 / sqrt(2 * pi * sigma**2 ) * exp(-((x - mu) ** 2) /... | 703 |
'''simple docstring'''
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class UpperCAmelCase__ ( UpperCamelCase__ ):
a : List[str] = (CMStochasticIterativeScheduler,)
a : str = 1_... | 39 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase : int = {
'''configuration_electra''': ['''ELECTRA_PRE... | 704 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __lowerCAmelCase ( lowerCamelCase : str = "https://www.worldometers.info/coronavirus" ):
'''simple docstring'''
__lowerCAmelCase = BeautifulSoup(requests.get(lowerCamelCase ).text , ... | 39 | 0 |
'''simple docstring'''
import argparse
import json
import subprocess
def __lowerCAmelCase ( lowerCamelCase : Dict , lowerCamelCase : Tuple ):
'''simple docstring'''
__lowerCAmelCase = []
__lowerCAmelCase = (
f'''curl -H \"Accept: app... | 705 |
'''simple docstring'''
from __future__ import annotations
import math
def __lowerCAmelCase ( lowerCamelCase : list , lowerCamelCase : list ):
'''simple docstring'''
if len(lowerCamelCase ) != 2 or len(a[0] ) != 2 or len(lowerCamelCase ) != 2 or len(b[... | 39 | 0 |
'''simple docstring'''
import argparse
import struct
import unittest
class UpperCAmelCase__ :
def __init__( self , UpperCamelCase ) -> Any:
__lowerCAmelCase = data
# Initialize hash values
__lowerCAmelCase = [
0x6_A_0_9_E_6... | 706 |
'''simple docstring'''
import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union
import torch
from ..utils import BaseOutput
lowerCAmelCase : Optional[Any] = '''scheduler_config.json'''
class UpperCAmelCase__ ( UpperCame... | 39 | 0 |
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from diffusers.models.attention_processor import AttnAddedKV... | 707 |
'''simple docstring'''
import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union
from .. import config
from .filelock import FileLock
fro... | 39 | 0 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : Optional[Any] ):
'''simple docstring'''
__lowerCAmelCase = [0] * len(__A )
__lowerCAmelCase = []
__lowerCAmelCase = [1] * len(__A )
for values in graph.values():
for... | 708 |
'''simple docstring'''
from abc import ABC, abstractmethod
from typing import List, Optional
class UpperCAmelCase__ ( UpperCamelCase__ ):
def __init__( self ) -> List[str]:
# test for the above condition
self.test()
def UpperCAmelCase_ ( self ) ... | 39 | 0 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
fr... | 709 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyImgaImgPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffusers.pipelines.kan... | 39 | 0 |
'''simple docstring'''
import datasets
from .nmt_bleu import compute_bleu # From: https://github.com/tensorflow/nmt/blob/master/nmt/scripts/bleu.py
lowerCAmelCase : int = "\\n@INPROCEEDINGS{Papineni02bleu:a,\n author = {Kishore Papineni and Salim Roukos and Todd Ward and Wei-jing Zhu},\n title = ... | 710 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from itertools import chain
from typing import Optional, Union
import datasets
import numpy as np
import torch
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
... | 39 | 0 |
'''simple docstring'''
import math
import random
from typing import Any
from .hill_climbing import SearchProblem
def __lowerCAmelCase ( lowerCamelCase : Union[str, Any] , lowerCamelCase : bool = True , lowerCamelCase : float = math.inf , lowerCamelCase : fl... | 711 |
'''simple docstring'''
# flake8: noqa
# Lint as: python3
from typing import Dict, List, Optional, Type
from .. import config
from ..utils import logging
from .formatting import (
ArrowFormatter,
CustomFormatter,
Formatter,
PandasFormatter,
PythonFormatter,
TensorFormatter,
format_ta... | 39 | 0 |
'''simple docstring'''
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers import BartForConditio... | 712 |
'''simple docstring'''
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision import transforms
from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
from transformers.image_utils import IM... | 39 | 0 |
'''simple docstring'''
lowerCAmelCase : List[str] = {
'''km/h''': 1.0,
'''m/s''': 3.6,
'''mph''': 1.609344,
'''knot''': 1.852,
}
lowerCAmelCase : Optional[Any] = {
'''km/h''': 1.0,
'''m/s''': 0.277777778,
'''mph''': 0.621371192,
'''knot''': 0.539956803,
}
def __l... | 713 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer
lowerCAmelCase : Optional[Any] = logging.... | 39 | 0 |
'''simple docstring'''
import inspect
import os
import torch
from transformers import AutoModel
from transformers.testing_utils import mockenv_context
from transformers.trainer_utils import set_seed
import accelerate
from accelerate.accelerator import Accelerator
from accelerate.state import AcceleratorState
f... | 714 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase ( lowerCamelCase : list ):
'''simple docstring'''
if not nums:
raise ValueError("List is empty" )
return sum(lowerCamelCase ) / len(lowerCamelCase )
if __name__ == "__main__":
im... | 39 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, DPMSolverMultistepScheduler, TransformeraDModel
from diffusers.utils import is_xformers_available, load_numpy, slow, torch_device
from diffusers.utils.testing_utils i... | 715 |
'''simple docstring'''
import re
def __lowerCAmelCase ( lowerCamelCase : str ):
'''simple docstring'''
__lowerCAmelCase = re.compile(
r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$" )
return bool(re.search(lowerCamelCase , lowerC... | 39 | 0 |
'''simple docstring'''
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from s... | 716 |
'''simple docstring'''
import os
import sys
import unittest
lowerCAmelCase : str = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import get_test_info # noqa: E402
from get_test_info import ( # noqa: E402
get_m... | 39 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase : Any = logging.get_logger(__name__)
lowerCAmelCase : List[Any] = {
'''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
... | 717 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional
import torch
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin
@data... | 39 | 0 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class UpperCAmelCase__ ( metaclass=_UpperCAmelCase ):
a : Union[str, Any] = ["""flax"""]
def __init__( self , *UpperCamelCase , **UpperCamelCase ) -> Optional[int]:
... | 718 |
'''simple docstring'''
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def __lowerCAmelCase ( lowerCamelCase : bytes , lowerCamelCase : int ):
'''simple docstring'''
__lowerCAmelCase = f''... | 39 | 0 |
'''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_channe... | 719 |
'''simple docstring'''
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def __lowerCAmelCase ( lowerCamelCase : List[str] ):
'''simple docstring'''
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_co... | 39 | 0 |
'''simple docstring'''
from __future__ import annotations
import math
def __lowerCAmelCase ( lowerCamelCase : List[str] , lowerCamelCase : Dict ):
'''simple docstring'''
__lowerCAmelCase = u
for i in range(1 , lowerCamelCase ):
__lowerCAmel... | 720 |
'''simple docstring'''
def __lowerCAmelCase ( lowerCamelCase : Union[str, Any] ):
'''simple docstring'''
__lowerCAmelCase = 1
__lowerCAmelCase = 2
while i * i <= n:
__lowerCAmelCase = 0
while n % i == 0:
n //= i
multiplicity += 1
... | 39 | 0 |
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