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"""
__lowercase : List[Any] = {0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}
__lowercase : Dict = {0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}
def lowerCAmelCase (__UpperCamelCase : dict[int, list[int]] , __UpperCamelCase : int , __UpperCa... | 366 | """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
... | 85 | 0 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
__lowercase = logging.get_logger(__name__)
__lowercase = {... | 367 | """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 ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase (__UpperCamelCase : Union[str, Any] , __UpperCamelCase : Optional[Any] , __UpperCamelCase : int ):
"""simple docstring"""
if len(lowerCamelCase_ ) == 0:
raise ValueError('''find... | 368 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : Dict , __UpperCamelCase : Optional[Any] ):
"""simple docstring"""
__UpperCamelCase =[0 for i in range(r + 1 )]
# nc0 = 1
__UpperCamelCase =1
for i in range(1 , n + 1 ):
... | 85 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional
from packaging import version
if TYPE_CHECKING:
from ... import PreTrainedTokenizer, TensorType
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfi... | 369 | """simple docstring"""
import argparse
import json
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification
def lowerCAmelCase (__UpperCamelCase : Tuple ):
... | 85 | 0 |
"""simple docstring"""
__lowercase = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
__lowercase = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
__lowercase = {
0: '''Sunday''',
1: '''Monday''',
2: '''Tuesday''',
3: '''Wednesday''',
4: '''Thursday''',
5: '''Friday''',
6: '''Satu... | 370 | """simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_hea... | 85 | 0 |
"""simple docstring"""
import argparse
from pathlib import Path
import torch
from transformers import OPTConfig, OPTModel
from transformers.utils import logging
logging.set_verbosity_info()
__lowercase = logging.get_logger(__name__)
def lowerCAmelCase (__UpperCamelCase : Tuple ):
"""simple ... | 371 | """simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable
__lowercase = {'''configuration_gpt_neox''': ['''GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNeoXConfi... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 1_0_0 ):
"""simple docstring"""
__UpperCamelCase =(n * (n + 1) // 2) ** 2
__UpperCamelCase =n * (n + 1) * (2 * n + 1) // 6
return sum_cubes - sum_squares
if __name__ == "__main__":
print... | 350 | """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... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : list[list[int | float]] ):
"""simple docstring"""
__UpperCamelCase =len(lowerCAmelCase__ )
__UpperCamelCase =len(matrix[0] )
__UpperCamelCase =min(lowerCAmelCase__ , lowerCAmelCase__ )
... | 351 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase = {
'''configuration_conditional_detr''': [
'''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''C... | 85 | 0 |
"""simple docstring"""
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
__lowercase = re.compile(r'''^(?P<major>\d+)''' r'''\.(?P<minor>\d+)''' r'''\.(?P<patch>\d+)$''')
@total_ordering
@dataclass
... | 352 | """simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import AutoProcesso... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : list ):
"""simple docstring"""
if any(not isinstance(__UpperCamelCase , __UpperCamelCase ) or x < 0 for x in sequence ):
raise TypeError('''Sequence must be list of non-negative integers''' )
for _ in range(len... | 353 | """simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
from typing import Any
class _lowercase :
"""simple docstring"""
def __init__( self : int , UpperCamelCase__ : Any ) -> Optional... | 85 | 0 |
"""simple docstring"""
import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request
from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version
... | 354 | """simple docstring"""
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
__UpperCamelCase =FileLock(str(tmpdir / '''foo.lock''' ) )
__UpperCamelCase =F... | 85 | 0 |
"""simple docstring"""
import qiskit
def lowerCAmelCase (__UpperCamelCase : int = 2 ):
"""simple docstring"""
__UpperCamelCase =qubits
# Using Aer's simulator
__UpperCamelCase =qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quantum Circ... | 355 | """simple docstring"""
import argparse
import logging
import os
import datasets
import tensorflow as tf
from transformers import AutoTokenizer
__lowercase = logging.getLogger(__name__)
def lowerCAmelCase ():
"""simple docstring"""
__UpperCamelCase =argparse.Arg... | 85 | 0 |
"""simple docstring"""
__lowercase = "Alexander Joslin"
import operator as op
from .stack import Stack
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase ={'*': op.mul, '/': op.truediv, '+': op.add, '-': op.sub}
__UpperC... | 356 | """simple docstring"""
import os
import unittest
from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir
from ...test_tokenization_common import TokenizerTesterMixin
__lowercase = get_tests_dir('''fix... | 85 | 0 |
"""simple docstring"""
__lowercase = '\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'
__lowercase = [{'type': 'code', 'content': INSTALL_CONTENT}]
__lower... | 357 | """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 Conversati... | 85 | 0 |
from torch import nn
def lowerCAmelCase (__UpperCamelCase : Any ):
"""simple docstring"""
if act_fn in ["swish", "silu"]:
return nn.SiLU()
elif act_fn == "mish":
return nn.Mish()
elif act_fn == "gelu":
return nn.GELU()
el... | 358 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 3 , __UpperCamelCase : int = 7 , __UpperCamelCase : int = 1_0_0_0_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =0
__UpperCamelCase =1
for current_denominator in range(1 ... | 85 | 0 |
"""simple docstring"""
from typing import List, Optional, Tuple, Union
import torch
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class _lowercase ( __a ):
"""simp... | 359 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 1_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =-1
__UpperCamelCase =0
for a in range(1 , n // 3 ):
# Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
... | 85 | 0 |
"""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 Fi... | 360 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase =0
# if input_string is "aba" than new_input_string become "a|b|a"
__UpperCamelCase =''''''
__UpperCamelCase =''''''
# append eac... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCAmelCase (__UpperCamelCase : Optional[int] = 2_0_0_0_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =[0]
__UpperCamelCase =4_2
for idx in range(1 , ceil(sqrt(... | 361 | """simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
__lowercase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-... | 85 | 0 |
"""simple docstring"""
import re
def lowerCAmelCase (__UpperCamelCase : List[Any] ):
"""simple docstring"""
if len(re.findall('''[ATCG]''' , UpperCAmelCase__ ) ) != len(UpperCAmelCase__ ):
raise ValueError('''Invalid Strand''' )
return dna.translate(dna.maketrans('''AT... | 362 | """simple docstring"""
from queue import PriorityQueue
from typing import Any
import numpy as np
def lowerCAmelCase (__UpperCamelCase : dict , __UpperCamelCase : str , __UpperCamelCase : set , __UpperCamelCase : set , __UpperCamelCase : dict , __UpperCamelCase ... | 85 | 0 |
"""simple docstring"""
import numpy
# List of input, output pairs
__lowercase = (
((5, 2, 3), 15),
((6, 5, 9), 25),
((11, 12, 13), 41),
((1, 1, 1), 8),
((11, 12, 13), 41),
)
__lowercase = (((515, 22, 13), 555), ((61, 35, 49), 150))
__lowercase = [2, 4, 1,... | 363 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase = {'''configuration_ibert''': ['''IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''IBertConfig''', '''IBertOnnxConfig''']}
try:
if not is_torch_... | 85 | 0 |
"""simple docstring"""
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class _lowercase ( a__ ):
"""simple docstring"""
lowercase__ = ["image_processor", "tokenizer"]
lowercase__ = "Auto... | 364 | """simple docstring"""
from dataclasses import dataclass
from typing import Dict, Optional, Union
import torch
import torch.nn.functional as F
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase (__UpperCamelCase : list[list[int]] ):
"""simple docstring"""
__UpperCamelCase =len(lowerCAmelCase__ )
# We need to create solution object to save path.
__UpperCamelCase =[[0 for _ in range(low... | 365 | """simple docstring"""
import os
from pathlib import Path
def lowerCAmelCase ():
"""simple docstring"""
from torch.utils.cpp_extension import load
__UpperCamelCase =Path(__UpperCamelCase ).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
__Uppe... | 85 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowercase : List[str] = {'''configuration_plbart''': ['''PLBART_PRETR... | 366 | """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
... | 85 | 0 |
"""simple docstring"""
import copy
import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available
from ..... | 367 | """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 ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
... | 85 | 0 |
"""simple docstring"""
import torch
from diffusers import DDIMParallelScheduler
from .test_schedulers import SchedulerCommonTest
class _lowercase ( _UpperCamelCase ):
"""simple docstring"""
lowercase__ = (DDIMParallelScheduler,)
lowercase__ ... | 368 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : Dict , __UpperCamelCase : Optional[Any] ):
"""simple docstring"""
__UpperCamelCase =[0 for i in range(r + 1 )]
# nc0 = 1
__UpperCamelCase =1
for i in range(1 , n + 1 ):
... | 85 | 0 |
"""simple docstring"""
import unittest
from transformers import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING, is_vision_available, pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
require_tf,
require_torch,
require_vision,
slow,
)
from .test_p... | 369 | """simple docstring"""
import argparse
import json
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification
def lowerCAmelCase (__UpperCamelCase : Tuple ):
... | 85 | 0 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor
__lowercase = logging.get_logger(__name__)
class _lowercase ( lowerCamelCase_ ):
"""simple docstring"""
def __init__( ... | 370 | """simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_hea... | 85 | 0 |
"""simple docstring"""
import flax.linen as nn
import jax
import jax.numpy as jnp
class _lowercase ( nn.Module ):
"""simple docstring"""
lowercase__ = 42
lowercase__ = jnp.floataa
def UpperCAmelCase_ ( self : Optional[int] ... | 371 | """simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable
__lowercase = {'''configuration_gpt_neox''': ['''GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNeoXConfi... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : float , __UpperCamelCase : float , __UpperCamelCase : float , __UpperCamelCase : float , __UpperCamelCase : float , ):
"""simple docstring"""
__UpperCamelCase =[redshift, radiation_de... | 350 | """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... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
import numpy as np
def lowerCAmelCase (__UpperCamelCase : list[float] ):
"""simple docstring"""
return np.maximum(0 , __UpperCamelCase )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0,... | 351 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase = {
'''configuration_conditional_detr''': [
'''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''C... | 85 | 0 |
"""simple docstring"""
from ...utils import deprecate
from ..controlnet.multicontrolnet import MultiControlNetModel # noqa: F401
from ..controlnet.pipeline_controlnet import StableDiffusionControlNetPipeline # noqa: F401
deprecate(
'''stable diffusion controlnet''',
'''0.22.0''',
'''Importing... | 352 | """simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import AutoProcesso... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
import csv
import requests
from bsa import BeautifulSoup
def lowerCAmelCase (__UpperCamelCase : str = "" ):
"""simple docstring"""
__UpperCamelCase =url or '''https://www.imdb.com/chart/top/?ref_=nv_mv_250'''
__UpperCamelCa... | 353 | """simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
from typing import Any
class _lowercase :
"""simple docstring"""
def __init__( self : int , UpperCamelCase__ : Any ) -> Optional... | 85 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase = {
'''configuration_conditional_detr''': [
'''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''Conditional... | 354 | """simple docstring"""
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
__UpperCamelCase =FileLock(str(tmpdir / '''foo.lock''' ) )
__UpperCamelCase =F... | 85 | 0 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from tests.test_modeling_common import floats_tensor
from transformers import DetrConfig, MaskFormerConfig, SwinConfig, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_torch_multi_g... | 355 | """simple docstring"""
import argparse
import logging
import os
import datasets
import tensorflow as tf
from transformers import AutoTokenizer
__lowercase = logging.getLogger(__name__)
def lowerCAmelCase ():
"""simple docstring"""
__UpperCamelCase =argparse.Arg... | 85 | 0 |
"""simple docstring"""
import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile
def lowerCAmelCase (__UpperCamelCase : List[str] , __UpperCamelCase : Dict , __UpperCamelCase : List[str] , __UpperCamelCase ... | 356 | """simple docstring"""
import os
import unittest
from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir
from ...test_tokenization_common import TokenizerTesterMixin
__lowercase = get_tests_dir('''fix... | 85 | 0 |
"""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 Conversati... | 357 | """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 Conversati... | 85 | 0 |
def lowerCAmelCase (__UpperCamelCase : str , __UpperCamelCase : int ):
"""simple docstring"""
__UpperCamelCase =word.split()
def justify(__UpperCamelCase : list , __UpperCamelCase : int , __UpperCamelCase : int ) -> str:
__UpperCamel... | 358 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 3 , __UpperCamelCase : int = 7 , __UpperCamelCase : int = 1_0_0_0_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =0
__UpperCamelCase =1
for current_denominator in range(1 ... | 85 | 0 |
"""simple docstring"""
import argparse
import collections
import json
import os
import re
import string
import sys
import numpy as np
__lowercase = re.compile(r'''\b(a|an|the)\b''', re.UNICODE)
__lowercase = None
def lowerCAmelCase ():
"""simple docstring"... | 359 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 1_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =-1
__UpperCamelCase =0
for a in range(1 , n // 3 ):
# Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
... | 85 | 0 |
"""simple docstring"""
import warnings
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 Tens... | 360 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase =0
# if input_string is "aba" than new_input_string become "a|b|a"
__UpperCamelCase =''''''
__UpperCamelCase =''''''
# append eac... | 85 | 0 |
"""simple docstring"""
import sys
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be... | 361 | """simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
__lowercase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-... | 85 | 0 |
"""simple docstring"""
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoModelFo... | 362 | """simple docstring"""
from queue import PriorityQueue
from typing import Any
import numpy as np
def lowerCAmelCase (__UpperCamelCase : dict , __UpperCamelCase : str , __UpperCamelCase : set , __UpperCamelCase : set , __UpperCamelCase : dict , __UpperCamelCase ... | 85 | 0 |
"""simple docstring"""
from maths.prime_factors import prime_factors
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
if not isinstance(__UpperCamelCase , __UpperCamelCase ):
__UpperCamelCase : List[Any] =F"""Input value of [number={numbe... | 363 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase = {'''configuration_ibert''': ['''IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''IBertConfig''', '''IBertOnnxConfig''']}
try:
if not is_torch_... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase (__UpperCamelCase : list[int] ):
"""simple docstring"""
return len(set(__UpperCamelCase ) ) == len(__UpperCamelCase )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 364 | """simple docstring"""
from dataclasses import dataclass
from typing import Dict, Optional, Union
import torch
import torch.nn.functional as F
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
... | 85 | 0 |
"""simple docstring"""
import torch
from ..models.auto import AutoModelForSequenceClassification, AutoTokenizer
from .base import PipelineTool
class _lowercase ( __a ):
"""simple docstring"""
lowercase__ = '''facebook/bart-large-mnli'''
lowercase__ = (
... | 365 | """simple docstring"""
import os
from pathlib import Path
def lowerCAmelCase ():
"""simple docstring"""
from torch.utils.cpp_extension import load
__UpperCamelCase =Path(__UpperCamelCase ).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
__Uppe... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
if number > 0:
raise ValueError('''input must be a negative integer''' )
__UpperCamelCase =len(bin(__UpperCamelCase )[3:] )
__UpperCamelCase =bin(abs(__Upper... | 366 | """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
... | 85 | 0 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from diffusers import (
AudioDiffusionPipeline,
AutoencoderKL,
DDIMScheduler,
DDPMScheduler,
DiffusionPipeline,
Mel,
UNetaDConditionModel,
UNetaDModel,
)
from diffusers.utils import slow, torch_device
fro... | 367 | """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 ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
... | 85 | 0 |
"""simple docstring"""
import tempfile
import torch
from diffusers import (
DEISMultistepScheduler,
DPMSolverMultistepScheduler,
DPMSolverSinglestepScheduler,
UniPCMultistepScheduler,
)
from .test_schedulers import SchedulerCommonTest
class _lowercase ( __a ):... | 368 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : Dict , __UpperCamelCase : Optional[Any] ):
"""simple docstring"""
__UpperCamelCase =[0 for i in range(r + 1 )]
# nc0 = 1
__UpperCamelCase =1
for i in range(1 , n + 1 ):
... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections import namedtuple
from dataclasses import dataclass
@dataclass
class _lowercase :
"""simple docstring"""
lowercase__ = 42
lowercase__ = None
lowercase__ = ... | 369 | """simple docstring"""
import argparse
import json
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification
def lowerCAmelCase (__UpperCamelCase : Tuple ):
... | 85 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
__lowercase = {
'''configuration_rag''': ['''RagConfig'''],
'''retrieval_rag''': ['''RagRetriever'''],
'''tokenization_rag''': ['... | 370 | """simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_hea... | 85 | 0 |
"""simple docstring"""
import unittest
from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script
@require_cpu
class _lowercase ( unittest.TestCase ):
"""simple docstring"""
def UpperCAmelCase_ ( self : Tuple ... | 371 | """simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable
__lowercase = {'''configuration_gpt_neox''': ['''GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNeoXConfi... | 85 | 0 |
"""simple docstring"""
import argparse
import torch
from transformers import GPTaLMHeadModel, RobertaForMaskedLM
if __name__ == "__main__":
__lowercase = argparse.ArgumentParser(
description=(
'''Extraction some layers of the full RobertaForMaskedLM or GPT2LMHeadModel ... | 350 | """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... | 85 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__lowercase = {
'''configuration_cpmant''': ['''CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '... | 351 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase = {
'''configuration_conditional_detr''': [
'''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''C... | 85 | 0 |
"""simple docstring"""
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, Features, Value
from .base import TaskTemplate
@dataclass(frozen=__a )
class _lowercase ( __a ):
"""simple docstring"""
... | 352 | """simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import AutoProcesso... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
import math
def lowerCAmelCase (__UpperCamelCase : list , __UpperCamelCase : list ):
"""simple docstring"""
if len(__UpperCamelCase ) != 2 or len(a[0] ) != 2 or len(__UpperCamelCase ) != 2 or len(b[0] ) != 2:
raise... | 353 | """simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
from typing import Any
class _lowercase :
"""simple docstring"""
def __init__( self : int , UpperCamelCase__ : Any ) -> Optional... | 85 | 0 |
"""simple docstring"""
import inspect
import unittest
from transformers import BitConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_backbone_common import BackboneTesterM... | 354 | """simple docstring"""
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
__UpperCamelCase =FileLock(str(tmpdir / '''foo.lock''' ) )
__UpperCamelCase =F... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase =0
# if input_string is "aba" than new_input_string become "a|b|a"
__UpperCamelCase =''''''
__UpperCamelCase =''''''
# append eac... | 355 | """simple docstring"""
import argparse
import logging
import os
import datasets
import tensorflow as tf
from transformers import AutoTokenizer
__lowercase = logging.getLogger(__name__)
def lowerCAmelCase ():
"""simple docstring"""
__UpperCamelCase =argparse.Arg... | 85 | 0 |
"""simple docstring"""
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_token... | 356 | """simple docstring"""
import os
import unittest
from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir
from ...test_tokenization_common import TokenizerTesterMixin
__lowercase = get_tests_dir('''fix... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase (__UpperCamelCase : int , __UpperCamelCase : int ):
"""simple docstring"""
__UpperCamelCase =[]
create_all_state(1 , __UpperCamelCase , __UpperCamelCase , [] , __Upper... | 357 | """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 Conversati... | 85 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__lowercase = {
'''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Wav2Vec2Confi... | 358 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 3 , __UpperCamelCase : int = 7 , __UpperCamelCase : int = 1_0_0_0_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =0
__UpperCamelCase =1
for current_denominator in range(1 ... | 85 | 0 |
"""simple docstring"""
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class ... | 359 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 1_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =-1
__UpperCamelCase =0
for a in range(1 , n // 3 ):
# Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
... | 85 | 0 |
"""simple docstring"""
import argparse
from pathlib import Path
import torch
from transformers import OPTConfig, OPTModel
from transformers.utils import logging
logging.set_verbosity_info()
__lowercase = logging.get_logger(__name__)
def lowerCAmelCase (__UpperCamelCase : Optional[int] )... | 360 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase =0
# if input_string is "aba" than new_input_string become "a|b|a"
__UpperCamelCase =''''''
__UpperCamelCase =''''''
# append eac... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
return credit_card_number.startswith(('''34''', '''35''', '''37''', '''4''', '''5''', '''6''') )
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase ... | 361 | """simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
__lowercase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-... | 85 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
import numpy as np
from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import BatchFeature
from ...utils import PaddingStrategy, TensorType, logging
__lowercase = logging.get_logger(__na... | 362 | """simple docstring"""
from queue import PriorityQueue
from typing import Any
import numpy as np
def lowerCAmelCase (__UpperCamelCase : dict , __UpperCamelCase : str , __UpperCamelCase : set , __UpperCamelCase : set , __UpperCamelCase : dict , __UpperCamelCase ... | 85 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase = {
'''configuration_xmod''': [
'''XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''XmodConfig''',
'''XmodOnnxConfig''',
... | 363 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase = {'''configuration_ibert''': ['''IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''IBertConfig''', '''IBertOnnxConfig''']}
try:
if not is_torch_... | 85 | 0 |
"""simple docstring"""
import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch
from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search
from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
fr... | 364 | """simple docstring"""
from dataclasses import dataclass
from typing import Dict, Optional, Union
import torch
import torch.nn.functional as F
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
... | 85 | 0 |
"""simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_head,
ftp_get... | 365 | """simple docstring"""
import os
from pathlib import Path
def lowerCAmelCase ():
"""simple docstring"""
from torch.utils.cpp_extension import load
__UpperCamelCase =Path(__UpperCamelCase ).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
__Uppe... | 85 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase : Optional[Any] = {
'''configuration_mask2former''': [
'''MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
... | 366 | """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
... | 85 | 0 |
"""simple docstring"""
import pytest
import datasets.config
from datasets.utils.info_utils import is_small_dataset
@pytest.mark.parametrize('''dataset_size''' , [None, 4_0_0 * 2**2_0, 6_0_0 * 2**2_0] )
@pytest.mark.parametrize('''input_in_memory_max_size''' , ['''default''', 0, 1_0_0 * 2**2_0, 9_0_0 * 2**... | 367 | """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 ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
... | 85 | 0 |
"""simple docstring"""
class _lowercase :
"""simple docstring"""
def __init__( self : str ) -> List[str]:
'''simple docstring'''
__UpperCamelCase =''''''
__UpperCamelCase =''''''
... | 368 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : Dict , __UpperCamelCase : Optional[Any] ):
"""simple docstring"""
__UpperCamelCase =[0 for i in range(r + 1 )]
# nc0 = 1
__UpperCamelCase =1
for i in range(1 , n + 1 ):
... | 85 | 0 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinvaConfig, SwinvaForImageClassification
def lowerCAmelCase (__UpperC... | 369 | """simple docstring"""
import argparse
import json
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification
def lowerCAmelCase (__UpperCamelCase : Tuple ):
... | 85 | 0 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
... | 370 | """simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_hea... | 85 | 0 |
"""simple docstring"""
import os
__lowercase = {'''I''': 1, '''V''': 5, '''X''': 10, '''L''': 50, '''C''': 100, '''D''': 500, '''M''': 1_000}
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase =0
__UpperCamelCase =0
while i... | 371 | """simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable
__lowercase = {'''configuration_gpt_neox''': ['''GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNeoXConfi... | 85 | 0 |
"""simple docstring"""
import unittest
from transformers import (
MODEL_FOR_CAUSAL_LM_MAPPING,
TF_MODEL_FOR_CAUSAL_LM_MAPPING,
TextGenerationPipeline,
logging,
pipeline,
)
from transformers.testing_utils import (
CaptureLogger,
is_pipeline_test,
require_accelerate,
r... | 350 | """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... | 85 | 0 |
"""simple docstring"""
import os
import pytest
from attr import dataclass
__lowercase = '''us-east-1''' # defaults region
@dataclass
class _lowercase :
"""simple docstring"""
lowercase__ = 42
lowercase__ = '''arn:aws:iam::5... | 351 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase = {
'''configuration_conditional_detr''': [
'''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''C... | 85 | 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,
convert_to_rgb,
get_resize_output_image_size,
normalize,
rescal... | 352 | """simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import AutoProcesso... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase ():
"""simple docstring"""
__UpperCamelCase =[3_1, 2_8, 3_1, 3_0, 3_1, 3_0, 3_1, 3_1, 3_0, 3_1, 3_0, 3_1]
__UpperCamelCase =6
__UpperCamelCase =1
__UpperCamelCase =1_9_0_1
__UpperCamelCase =0
... | 353 | """simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
from typing import Any
class _lowercase :
"""simple docstring"""
def __init__( self : int , UpperCamelCase__ : Any ) -> Optional... | 85 | 0 |
"""simple docstring"""
import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datase... | 354 | """simple docstring"""
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
__UpperCamelCase =FileLock(str(tmpdir / '''foo.lock''' ) )
__UpperCamelCase =F... | 85 | 0 |
"""simple docstring"""
import math
from enum import Enum
from typing import Optional, Union
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .utils import logging
__lowercase = logging.get_logger(__name__)
class _lowercase ( __a )... | 355 | """simple docstring"""
import argparse
import logging
import os
import datasets
import tensorflow as tf
from transformers import AutoTokenizer
__lowercase = logging.getLogger(__name__)
def lowerCAmelCase ():
"""simple docstring"""
__UpperCamelCase =argparse.Arg... | 85 | 0 |
"""simple docstring"""
import numpy as np
import torch
import torch.nn as nn
from transformers import CLIPConfig, CLIPVisionModelWithProjection, PreTrainedModel
from ...utils import logging
__lowercase = logging.get_logger(__name__)
class _lowercase ( __a ):
... | 356 | """simple docstring"""
import os
import unittest
from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir
from ...test_tokenization_common import TokenizerTesterMixin
__lowercase = get_tests_dir('''fix... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
f... | 357 | """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 Conversati... | 85 | 0 |
from __future__ import annotations
import copy
import inspect
import json
import math
import os
import tempfile
import unittest
from importlib import import_module
import numpy as np
from transformers import ViTMAEConfig
from transformers.file_utils import cached_property, is_tf_available, is_vision_av... | 358 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 3 , __UpperCamelCase : int = 7 , __UpperCamelCase : int = 1_0_0_0_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =0
__UpperCamelCase =1
for current_denominator in range(1 ... | 85 | 0 |
"""simple docstring"""
from collections import deque
from .hash_table import HashTable
class _lowercase ( __a ):
"""simple docstring"""
def __init__( self : Dict , *UpperCamelCase__ : str , **UpperCamelCase__ : Any ... | 359 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int = 1_0_0_0 ):
"""simple docstring"""
__UpperCamelCase =-1
__UpperCamelCase =0
for a in range(1 , n // 3 ):
# Solving the two equations a**2+b**2=c**2 and a+b+c=N eliminating c
... | 85 | 0 |
"""simple docstring"""
import unittest
from transformers import DebertaConfig, 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 Model... | 360 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : str ):
"""simple docstring"""
__UpperCamelCase =0
# if input_string is "aba" than new_input_string become "a|b|a"
__UpperCamelCase =''''''
__UpperCamelCase =''''''
# append eac... | 85 | 0 |
"""simple docstring"""
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
@dataclass
#... | 361 | """simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
__lowercase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase (__UpperCamelCase : list[float] ):
"""simple docstring"""
__UpperCamelCase =0.0_0
__UpperCamelCase =0
for resistor in resistors:
if resistor <= 0:
__UpperCame... | 362 | """simple docstring"""
from queue import PriorityQueue
from typing import Any
import numpy as np
def lowerCAmelCase (__UpperCamelCase : dict , __UpperCamelCase : str , __UpperCamelCase : set , __UpperCamelCase : set , __UpperCamelCase : dict , __UpperCamelCase ... | 85 | 0 |
"""simple docstring"""
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.conf... | 363 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase = {'''configuration_ibert''': ['''IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''IBertConfig''', '''IBertOnnxConfig''']}
try:
if not is_torch_... | 85 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase = logging.get_logger(__name__)
__lowercase = {
'''funnel-transformer/small''': '''https://huggingface.co/funnel-transformer/small/resolve/main/config.json''',
'''... | 364 | """simple docstring"""
from dataclasses import dataclass
from typing import Dict, Optional, Union
import torch
import torch.nn.functional as F
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
... | 85 | 0 |
"""simple docstring"""
import unittest
from .lib import (
Matrix,
Vector,
axpy,
square_zero_matrix,
unit_basis_vector,
zero_vector,
)
class _lowercase ( unittest.TestCase ):
"""simple docstring"""
def UpperCAmelCase_ ( self : Tuple ... | 365 | """simple docstring"""
import os
from pathlib import Path
def lowerCAmelCase ():
"""simple docstring"""
from torch.utils.cpp_extension import load
__UpperCamelCase =Path(__UpperCamelCase ).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
__Uppe... | 85 | 0 |
"""simple docstring"""
class _lowercase : # Public class to implement a graph
"""simple docstring"""
def __init__( self : List[Any] , UpperCamelCase__ : int , UpperCamelCase__ : int , UpperCamelCase__ : list[list[bool]] ) ... | 366 | """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
... | 85 | 0 |
"""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
__lowercase = logging.get_logger(__name__)
... | 367 | """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 ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
... | 85 | 0 |
"""simple docstring"""
import collections.abc
from typing import Optional, Tuple, Union
import torch
import torch.utils.checkpoint
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...modeling_outputs import BaseModelOutputWithNoA... | 368 | """simple docstring"""
def lowerCAmelCase (__UpperCamelCase : Dict , __UpperCamelCase : Optional[Any] ):
"""simple docstring"""
__UpperCamelCase =[0 for i in range(r + 1 )]
# nc0 = 1
__UpperCamelCase =1
for i in range(1 , n + 1 ):
... | 85 | 0 |
"""simple docstring"""
from math import sqrt
import numpy as np
from sympy import symbols
# Coefficient
# Speed of light (m/s)
__lowercase = 299_792_458
# Symbols
__lowercase , __lowercase , __lowercase , __lowercase = symbols('''ct x y z''')
def lowerCAmelCase (__UpperCamelCas... | 369 | """simple docstring"""
import argparse
import json
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification
def lowerCAmelCase (__UpperCamelCase : Tuple ):
... | 85 | 0 |
"""simple docstring"""
import torch
from diffusers import DDPMParallelScheduler
from .test_schedulers import SchedulerCommonTest
class _lowercase ( __a ):
"""simple docstring"""
lowercase__ = (DDPMParallelScheduler,)
def Upp... | 370 | """simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_hea... | 85 | 0 |
"""simple docstring"""
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
if isinstance(__UpperCamelCase , __UpperCamelCase ):
raise TypeError('''\'float\' object cannot be interpreted as an integer''' )
if isinstance(__UpperCamelCase , __UpperCamel... | 371 | """simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable
__lowercase = {'''configuration_gpt_neox''': ['''GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNeoXConfi... | 85 | 0 |
"""simple docstring"""
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
__lowercase = loggi... | 350 | """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... | 85 | 0 |
"""simple docstring"""
from __future__ import annotations
__lowercase = 8.988e9 # units = N * m^s * C^-2
def lowerCAmelCase (__UpperCamelCase : float , __UpperCamelCase : float , __UpperCamelCase : float , __UpperCamelCase : float ):
"""simple docstring""... | 351 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase = {
'''configuration_conditional_detr''': [
'''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''C... | 85 | 0 |
"""simple docstring"""
import logging
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import numpy as np
from utils_multiple_choice import MultipleChoiceDataset, Split, processors
import transformers
from transformers import (
AutoConfig,
AutoModelForMultiple... | 352 | """simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import AutoProcesso... | 85 | 0 |
"""simple docstring"""
__lowercase = 0 # The first color of the flag.
__lowercase = 1 # The second color of the flag.
__lowercase = 2 # The third color of the flag.
__lowercase = (red, white, blue)
def lowerCAmelCase (__UpperCamelCase : list ):
"""simple docstri... | 353 | """simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
from typing import Any
class _lowercase :
"""simple docstring"""
def __init__( self : int , UpperCamelCase__ : Any ) -> Optional... | 85 | 0 |
"""simple docstring"""
from math import pow
def lowerCAmelCase (__UpperCamelCase : int , __UpperCamelCase : int , __UpperCamelCase : int , __UpperCamelCase : int , __UpperCamelCase : int , ):
"""simple docstring"""
if current_sum == needed_sum:
... | 354 | """simple docstring"""
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def lowerCAmelCase (__UpperCamelCase : int ):
"""simple docstring"""
__UpperCamelCase =FileLock(str(tmpdir / '''foo.lock''' ) )
__UpperCamelCase =F... | 85 | 0 |
"""simple docstring"""
import argparse
import os
import re
__lowercase = '''src/transformers/models/auto'''
# re pattern that matches mapping introductions:
# SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
__lowercase = re.compile(r'''[A-Z_]+_MAPPING... | 355 | """simple docstring"""
import argparse
import logging
import os
import datasets
import tensorflow as tf
from transformers import AutoTokenizer
__lowercase = logging.getLogger(__name__)
def lowerCAmelCase ():
"""simple docstring"""
__UpperCamelCase =argparse.Arg... | 85 | 0 |
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