code stringlengths 86 54.5k | code_codestyle int64 0 371 | style_context stringlengths 87 49.2k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel
from ...schedulers import KarrasVeScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class SCREAMING_SNAKE_CASE ( a_ ):
... | 362 |
"""simple docstring"""
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = ""
lowercase__ = (
... | 74 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__UpperCamelCase : Optional[Any] = {
'''configuration_clipseg''': [
'''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''CLIPSegConfig''',... | 363 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(A_ )
if number < 0:
return False
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""simple docstring"""
from sklearn.metrics import recall_score
import datasets
__UpperCamelCase : List[str] = '''
Recall is the fraction of the positive examples that were correctly labeled by the model as positive. It can be computed with the equation:
Recall = TP / (TP + FN)
Where TP is the ... | 364 |
"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import sys
import warnings
from os.path import abspath, dirname, join
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' whe... | 74 | 0 |
"""simple docstring"""
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
__UpperCamelCase ... | 365 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
import os
def __SCREAMING_SNAKE_CASE ( ):
lowerCAmelCase__ : Dict = os.path.dirname(os.path.realpath(A_ ) )
lowerCAmelCase__ : str = os.path.join(A_ , '''triangle.txt''' )
with open(A_ ) as f:
lowerCAmelCase__ : int... | 366 |
"""simple docstring"""
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
__UpperCamelCase : int = '''%20'''.join(argv[1:]) if len(argv) > 1 else quot... | 74 | 0 |
"""simple docstring"""
from ...processing_utils import ProcessorMixin
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = "SpeechT5FeatureExtractor"
lowercase__ = "SpeechT5Tokenizer"
def __init__( self : Optional[Any] ,... | 367 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 74 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import List, Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__UpperCamelCase : str = logging.get_logger(__name__)
__Upp... | 368 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 74 | 0 |
import string
import numpy
def __SCREAMING_SNAKE_CASE ( A_ , A_ ):
return b if a == 0 else greatest_common_divisor(b % a , A_ )
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
lowercase__ = string.ascii_uppercase + string.digits
# This cipher... | 369 |
"""simple docstring"""
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] ... | 74 | 0 |
"""simple docstring"""
from abc import ABC, abstractmethod
from typing import List, Optional
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __init__( self : Optional[int] ):
# test for the above condition
self.test()
def __lowerCAmel... | 370 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__UpperCamelCase : Union[str, Any] = namedtuple(
... | 74 | 0 |
from __future__ import annotations
def __SCREAMING_SNAKE_CASE ( A_ ):
return [ord(A_ ) - 96 for elem in plain]
def __SCREAMING_SNAKE_CASE ( A_ ):
return "".join(chr(elem + 96 ) for elem in encoded )
def __SCREAMING_SNAKE_CASE ( ):
lowerCAmelCase__ : Dict = encode(in... | 371 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__Up... | 74 | 0 |
"""simple docstring"""
__UpperCamelCase : Optional[int] = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transfor... | 350 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more or... | 74 | 0 |
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 checked before tokeni... | 351 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
if (resistance, reactance, impedance).count(0 ) != 1:
raise ValueError('''One and only one argument must be 0''' )
if resistance == 0:
return {"r... | 74 | 0 |
"""simple docstring"""
import math
from typing import Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import randn_tensor
from .scheduling_utils import SchedulerMixin
class SCREAMING_SNAKE_CASE ( a_ , a_ ):
"""simple docstring"... | 352 |
"""simple docstring"""
import qiskit
def __SCREAMING_SNAKE_CASE ( A_ = 2 ):
lowerCAmelCase__ : int = qubits
# Using Aer's simulator
lowerCAmelCase__ : str = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quantum Circuit acting on the q register
low... | 74 | 0 |
"""simple docstring"""
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : List[Any] ,lowercase_ : list ):
lowerCAmelCase__ : Optional[Any] = set_counts
lowerCAmelCase__ : int = max(lowercase_ )
... | 353 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : int = 0
for ch in input_str:
lowerCAmelCase__ : Any = ord(A_ )
lowerCAmelCase__ : Any = pow(2 , A_ )
# If we already turned on bit for current character... | 74 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__UpperCamelCase : Dict = {
'''huggingface/informer-tourism-monthl... | 354 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ):
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = {
'''meter''': '''m''',
'''kilometer''': '''km''',
'''megametre''': '''Mm''',
'''gigametre''': '''Gm''',
'''terametre''': '''Tm''',
'''petametre''': '''Pm''',
'''exametre''': '''Em''',
'''zettametre''': '''Zm... | 355 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, Li... | 74 | 0 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscreteScheduler,... | 356 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 74 | 0 |
"""simple docstring"""
from __future__ import annotations
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (electron_conc, hole_conc, intrinsic_conc).count(0 ) != 1:
raise ValueError('''You cannot supply more or less than 2 values''' )
elif electron_conc < ... | 357 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
ra... | 74 | 0 |
"""simple docstring"""
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING
__UpperCamelCase : int = logging.ge... | 358 |
"""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
__UpperCamelCase : Tuple = loggi... | 74 | 0 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def __SCREAMING_SNAKE_CASE ( A_ ) -> int:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(A_ , 0 , A_ , args=(A_) )[0]
def __SCREAMING_SNAKE_CASE ( ... | 359 |
"""simple docstring"""
from manim import *
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __lowerCAmelCase ( self : List[Any] ):
lowerCAmelCase__ : List[str] = Rectangle(height=0.5 ,width=0.5 )
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__UpperCamelCase : Union[str, Any] = {
'''configuration_deberta... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__UpperCamelCase : Optional[Any] = {
'''configuration_clipseg''': [
'''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''CLIPSegConfig''',
... | 74 | 0 |
"""simple docstring"""
import io
import os
import unicodedata
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Any = logging.get_logger(__name__)
__UpperCame... | 361 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_t... | 74 | 0 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import Tuple
from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments
if is_tf_available():
import tensorflow as tf
__UpperCamelCase : List[Any]... | 362 |
"""simple docstring"""
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = ""
lowercase__ = (
... | 74 | 0 |
"""simple docstring"""
import os
from pathlib import Path
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
lowerCAmelCase__ : Tuple = {
'''en''': '''Machine learning is great, isn\'t it?''',
'''ru''': '''Машинное обучение - это здорово, не так ли?''',
'''d... | 363 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(A_ )
if number < 0:
return False
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import torch
from diffusers import DiffusionPipeline, ImagePipelineOutput
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __init__( self : int ,lowercase_ : Union[str, Any] ... | 364 |
"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import sys
import warnings
from os.path import abspath, dirname, join
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' whe... | 74 | 0 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class SCREAMING_SNAKE_CASE ( metaclass=a_ ):
"""simple docstring"""
lowercase__ = ["torch"]
def __init__( self : Optional[Any] ,*lowercase_ : Tuple ,**lowercase_ ... | 365 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
from pathlib import PurePosixPath
from typing import Optional
import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo
from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url
class SCREAMING... | 366 |
"""simple docstring"""
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
__UpperCamelCase : int = '''%20'''.join(argv[1:]) if len(argv) > 1 else quot... | 74 | 0 |
"""simple docstring"""
from collections.abc import Sequence
from queue import Queue
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : str ,lowercase_ : Tuple ,lowercase_ : int ,lowercase_ : List[str] ,low... | 367 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 74 | 0 |
"""simple docstring"""
import warnings
from .generation import TFGenerationMixin
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
warnings.warn(
"Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will "
"be re... | 368 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 74 | 0 |
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : int ,lowercase_ : int ):
lowerCAmelCase__ : int = n
lowerCAmelCase__ : Dict = [None] * self.n
lowerCAmelCase__ : Union[str, Any] = ... | 369 |
"""simple docstring"""
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] ... | 74 | 0 |
"""simple docstring"""
import json
import os
import shutil
import tempfile
from unittest import TestCase
from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.mo... | 370 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__UpperCamelCase : Union[str, Any] = namedtuple(
... | 74 | 0 |
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : Optional[int] ):
lowerCAmelCase__ : str = ''''''
lowerCAmelCase__ : Union[str... | 371 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__Up... | 74 | 0 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__UpperCamelCase : Union[str, Any] = namedtuple(
... | 350 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more or... | 74 | 0 |
import shutil
import tempfile
import unittest
from transformers import (
SPIECE_UNDERLINE,
AddedToken,
BatchEncoding,
NllbTokenizer,
NllbTokenizerFast,
is_torch_available,
)
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require... | 351 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
if (resistance, reactance, impedance).count(0 ) != 1:
raise ValueError('''One and only one argument must be 0''' )
if resistance == 0:
return {"r... | 74 | 0 |
"""simple docstring"""
import math
from collections.abc import Iterator
from itertools import takewhile
def __SCREAMING_SNAKE_CASE ( A_ ):
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all even numbers, all multi... | 352 |
"""simple docstring"""
import qiskit
def __SCREAMING_SNAKE_CASE ( A_ = 2 ):
lowerCAmelCase__ : int = qubits
# Using Aer's simulator
lowerCAmelCase__ : str = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quantum Circuit acting on the q register
low... | 74 | 0 |
"""simple docstring"""
import numpy as np
from PIL import Image
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
lowerCAmelCase__ : str = np.array(A_ )
if arr.shape[0] != arr.shape[1]:
raise ValueError('''The input array is not a square matrix''' )
lowerCAmelCase... | 353 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : int = 0
for ch in input_str:
lowerCAmelCase__ : Any = ord(A_ )
lowerCAmelCase__ : Any = pow(2 , A_ )
# If we already turned on bit for current character... | 74 | 0 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 354 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ):
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""simple docstring"""
__UpperCamelCase : Any = '''Tobias Carryer'''
from time import time
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : Tuple ,lowercase_ : List[Any] ,lowercase_ : int ,lowercase_ ... | 355 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, Li... | 74 | 0 |
"""simple docstring"""
import unittest
from transformers import MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING, AutoTokenizer, is_vision_available
from transformers.pipelines import pipeline
from transformers.pipelines.document_question_answering import apply_tesseract
from transformers.testing_utils import (
... | 356 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 74 | 0 |
"""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 Pr... | 357 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
ra... | 74 | 0 |
"""simple docstring"""
import argparse
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import BigBirdPegasusConfig, BigBirdPegasusForConditionalGeneration
__UpperCamelCase : List[str] = [
# tf -> hf
('''/''', '''.'''),
('''layer_... | 358 |
"""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
__UpperCamelCase : Tuple = loggi... | 74 | 0 |
"""simple docstring"""
import unittest
from transformers import DonutProcessor
__UpperCamelCase : List[Any] = '''naver-clova-ix/donut-base'''
class SCREAMING_SNAKE_CASE ( unittest.TestCase ):
"""simple docstring"""
def __lowerCAmelCase ( self : Optional... | 359 |
"""simple docstring"""
from manim import *
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __lowerCAmelCase ( self : List[Any] ):
lowerCAmelCase__ : List[str] = Rectangle(height=0.5 ,width=0.5 )
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__UpperCamelCase : int = logging.get_logger(__name__)
__UpperCamelCase : List[Any] = {
'''transfo-xl-wt103''': '''https://huggingface.co/transfo-xl-wt103/res... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__UpperCamelCase : Optional[Any] = {
'''configuration_clipseg''': [
'''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''CLIPSegConfig''',
... | 74 | 0 |
"""simple docstring"""
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
__UpperCamelCase : List[Any] = re.compile(R'''^(?P<major>\d+)''' R'''\.(?P<minor>\d+)''' R'''\.(?P<patch>\d+)$''')
@total_orderi... | 361 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_t... | 74 | 0 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Dict = [
[-1, 0], # left
[0, -1], # down
[1, 0], # right
[0, 1], # up
]
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ , ):
lowerCAmelCase__ ... | 362 |
"""simple docstring"""
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = ""
lowercase__ = (
... | 74 | 0 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
lowerCAmelCase__ : List[Any] = (num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
# formula for sum of series
return total
def __SCREAMING_SNAKE_CASE ( ):
print(sum_of_... | 363 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(A_ )
if number < 0:
return False
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""simple docstring"""
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__UpperCamelCase : Any = logging.get_logger(__name__)
__UpperCamelCase : Optional[Any] = {
'''microsoft/unispeech-sat-base-100h-libri-ft''... | 364 |
"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import sys
import warnings
from os.path import abspath, dirname, join
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' whe... | 74 | 0 |
"""simple docstring"""
import os
import tempfile
import unittest
from pathlib import Path
from transformers import AutoConfig, is_torch_available
from transformers.testing_utils import require_torch, torch_device
if is_torch_available():
from transformers import PyTorchBenchmark, PyTorchBenchmarkArgume... | 365 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
import contextlib
import copy
import random
from typing import Any, Dict, Iterable, Optional, Union
import numpy as np
import torch
from .utils import deprecate, is_transformers_available
if is_transformers_available():
import transformers
def __SCREAMING_SNAKE_CASE ( A_ ... | 366 |
"""simple docstring"""
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
__UpperCamelCase : int = '''%20'''.join(argv[1:]) if len(argv) > 1 else quot... | 74 | 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 ve... | 367 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 74 | 0 |
"""simple docstring"""
from graphs.minimum_spanning_tree_kruskal import kruskal
def __SCREAMING_SNAKE_CASE ( ):
lowerCAmelCase__ : int = 9
lowerCAmelCase__ : int = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
[7, 8, 7],
[7, 6, 1],
[2, 8, 2],
[... | 368 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 74 | 0 |
import os
def __SCREAMING_SNAKE_CASE ( A_ = "input.txt" ):
with open(os.path.join(os.path.dirname(A_ ) , A_ ) ) as input_file:
lowerCAmelCase__ : Any = [
[int(A_ ) for element in line.split(''',''' )]
for line in input_file.readlines()
]
lowerCAmelCase... | 369 |
"""simple docstring"""
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] ... | 74 | 0 |
"""simple docstring"""
import unittest
from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow
if is_flax_available():
import optax
from flax.training.common_utils import onehot
from tr... | 370 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__UpperCamelCase : Union[str, Any] = namedtuple(
... | 74 | 0 |
import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union
from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings
__UpperCamelCase : Optional[Any] = log... | 371 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__Up... | 74 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__UpperCamelCase : Dict = {'''configuration_plbart''': ['''PLBART_PRETRAINED... | 350 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more or... | 74 | 0 |
from ..utils import DummyObject, requires_backends
class SCREAMING_SNAKE_CASE ( metaclass=a_ ):
"""simple docstring"""
lowercase__ = ["sentencepiece"]
def __init__( self : Dict ,*lowercase_ : Tuple ,**lowercase_ : Dict ):
requ... | 351 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
if (resistance, reactance, impedance).count(0 ) != 1:
raise ValueError('''One and only one argument must be 0''' )
if resistance == 0:
return {"r... | 74 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
c... | 352 |
"""simple docstring"""
import qiskit
def __SCREAMING_SNAKE_CASE ( A_ = 2 ):
lowerCAmelCase__ : int = qubits
# Using Aer's simulator
lowerCAmelCase__ : str = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quantum Circuit acting on the q register
low... | 74 | 0 |
"""simple docstring"""
from urllib.parse import quote
import pytest
from datasets.utils.hub import hf_hub_url
@pytest.mark.parametrize('''repo_id''' , ['''canonical_dataset_name''', '''org-name/dataset-name'''] )
@pytest.mark.parametrize('''path''' , ['''filename.csv''', '''filename with b... | 353 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : int = 0
for ch in input_str:
lowerCAmelCase__ : Any = ord(A_ )
lowerCAmelCase__ : Any = pow(2 , A_ )
# If we already turned on bit for current character... | 74 | 0 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscreteScheduler,
PNDMScheduler,
StableDiffus... | 354 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ):
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""simple docstring"""
import faiss # noqa: F401 # Here to have a nice missing dependency error message early on
import numpy # noqa: F401 # Here to have a nice missing dependency error message early on
import requests # noqa: F401 # Here to have a nice missing dependency error message early on
import sklearn... | 355 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, Li... | 74 | 0 |
"""simple docstring"""
import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional
import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset
from t... | 356 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 74 | 0 |
"""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
__UpperCamelCase : Un... | 357 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
ra... | 74 | 0 |
"""simple docstring"""
from typing import List
import datasets
from datasets.tasks import AudioClassification
from ..folder_based_builder import folder_based_builder
__UpperCamelCase : Tuple = datasets.utils.logging.get_logger(__name__)
class SCREAMING_SNAKE_CASE ( folder_based_bui... | 358 |
"""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
__UpperCamelCase : Tuple = loggi... | 74 | 0 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ) -> int:
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any... | 359 |
"""simple docstring"""
from manim import *
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __lowerCAmelCase ( self : List[Any] ):
lowerCAmelCase__ : List[str] = Rectangle(height=0.5 ,width=0.5 )
lowerCAmelCase__ : ... | 74 | 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
__UpperCamelCase : Tuple ... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__UpperCamelCase : Optional[Any] = {
'''configuration_clipseg''': [
'''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''CLIPSegConfig''',
... | 74 | 0 |
"""simple docstring"""
import string
from math import logaa
def __SCREAMING_SNAKE_CASE ( A_ , A_ ):
lowerCAmelCase__ : int = document.translate(
str.maketrans('''''' , '''''' , string.punctuation ) ).replace('''\n''' , '''''' )
lowerCAme... | 361 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_t... | 74 | 0 |
"""simple docstring"""
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
__UpperCamelCase : Dict = TypeVar('''T''')
def __SCREAMING_SNAKE_CASE ( A_ ):
return (position - 1) // 2
def __SCREAMING_SNAKE_CASE ( A_ ):
return (2 * positi... | 362 |
"""simple docstring"""
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = ""
lowercase__ = (
... | 74 | 0 |
"""simple docstring"""
from math import factorial
__UpperCamelCase : Optional[Any] = {str(d): factorial(d) for d in range(1_0)}
def __SCREAMING_SNAKE_CASE ( A_ ):
return sum(DIGIT_FACTORIAL[d] for d in str(A_ ) )
def __SCREAMING_SNAKE_CASE ( ):
lowerCAmelCase__ : T... | 363 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(A_ )
if number < 0:
return False
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""simple docstring"""
import unittest
from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_rjieba
@require_tokenizers
class SCREAMING_SNAKE_CA... | 364 |
"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import sys
import warnings
from os.path import abspath, dirname, join
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' whe... | 74 | 0 |
"""simple docstring"""
import argparse
import logging
import pickle
import random
import time
import numpy as np
from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer
logging.basicConfig(
format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''',... | 365 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 366 |
"""simple docstring"""
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
__UpperCamelCase : int = '''%20'''.join(argv[1:]) if len(argv) > 1 else quot... | 74 | 0 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
import diffusers
from diffusers import (
AutoencoderKL,
EulerDiscreteScheduler,
StableDiffusionLatentUpscalePipeline,
StableDiffus... | 367 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 74 | 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
__UpperCamelCase : int = {'''configuration_mra''': ['''MRA_PRETRAINED_CONFIG_ARCHIVE_MAP''',... | 368 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 74 | 0 |
from __future__ import annotations
from cmath import sqrt
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
if a == 0:
raise ValueError('''Coefficient \'a\' must not be zero.''' )
lowerCAmelCase__ : List[str] = b * b - 4 * a * c
lowerCAmelCase__ : Optional[An... | 369 |
"""simple docstring"""
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] ... | 74 | 0 |
"""simple docstring"""
import logging
import os
from .state import PartialState
class SCREAMING_SNAKE_CASE ( logging.LoggerAdapter ):
"""simple docstring"""
@staticmethod
def __lowerCAmelCase ( lowercase_ : List[str] ):
lowerCAmelCase__ : int =... | 370 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__UpperCamelCase : Union[str, Any] = namedtuple(
... | 74 | 0 |
import argparse
import dataclasses
import json
import logging
import os
import shutil
from typing import List, Optional
import datasets
from accelerate import Accelerator
from datasets import load_dataset
from finetuning import finetune
from tqdm.auto import tqdm
import transformers
from transformers import AutoCon... | 371 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__Up... | 74 | 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_mobilebert import MobileBertTokenizer
__UpperCamelCase : List[str] = log... | 350 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more or... | 74 | 0 |
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] = logging.get_logger(__na... | 351 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
if (resistance, reactance, impedance).count(0 ) != 1:
raise ValueError('''One and only one argument must be 0''' )
if resistance == 0:
return {"r... | 74 | 0 |
"""simple docstring"""
import inspect
import re
from transformers.utils import direct_transformers_import
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
__UpperCamelCase : List[str] = '''src/... | 352 |
"""simple docstring"""
import qiskit
def __SCREAMING_SNAKE_CASE ( A_ = 2 ):
lowerCAmelCase__ : int = qubits
# Using Aer's simulator
lowerCAmelCase__ : str = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quantum Circuit acting on the q register
low... | 74 | 0 |
"""simple docstring"""
import math
from collections import defaultdict
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin, SchedulerOutput
def ... | 353 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : int = 0
for ch in input_str:
lowerCAmelCase__ : Any = ord(A_ )
lowerCAmelCase__ : Any = pow(2 , A_ )
# If we already turned on bit for current character... | 74 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__UpperCamelCase : int = logging.get_logger(__name__)
__UpperCame... | 354 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ):
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""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 __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : ... | 355 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, Li... | 74 | 0 |
"""simple docstring"""
from math import factorial
def __SCREAMING_SNAKE_CASE ( A_ = 1_00 ):
return sum(map(A_ , str(factorial(A_ ) ) ) )
if __name__ == "__main__":
print(solution(int(input('''Enter the Number: ''').strip())))
| 356 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 74 | 0 |
"""simple docstring"""
import re
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : Dict = 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(A_ , A_ ) )
if __name__ == "__m... | 357 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
ra... | 74 | 0 |
"""simple docstring"""
import doctest
import sys
import warnings
from os.path import abspath, dirname, join
import _pytest
from transformers.testing_utils import HfDoctestModule, HfDocTestParser
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when s... | 358 |
"""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
__UpperCamelCase : Tuple = loggi... | 74 | 0 |
"""simple docstring"""
import argparse
import copy
def __SCREAMING_SNAKE_CASE ( A_ ) -> Optional[int]:
lowerCAmelCase__ : Union[str, Any] = {}
with open(A_ ) as f:
for line in f:
if line.split()[0] not in dict_of_neighbours:
lowerCAmelCase__ : Tuple = ... | 359 |
"""simple docstring"""
from manim import *
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __lowerCAmelCase ( self : List[Any] ):
lowerCAmelCase__ : List[str] = Rectangle(height=0.5 ,width=0.5 )
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_tf
if is_tf_available():
import tensorflow as tf
from tensorflow.python.eager import context
from tensorflow.python.framework import ops
... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__UpperCamelCase : Optional[Any] = {
'''configuration_clipseg''': [
'''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''CLIPSegConfig''',
... | 74 | 0 |
"""simple docstring"""
import argparse
import os
import jax as jnp
import numpy as onp
import torch
import torch.nn as nn
from music_spectrogram_diffusion import inference
from tax import checkpoints
from diffusers import DDPMScheduler, OnnxRuntimeModel, SpectrogramDiffusionPipeline
from diffusers.pipelines.sp... | 361 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_t... | 74 | 0 |
"""simple docstring"""
import argparse
import torch
from torch import nn
from transformers import MBartConfig, MBartForConditionalGeneration
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : Optional[Any] = [
'''encoder.version''',
'''decoder.version''',
'''model.... | 362 |
"""simple docstring"""
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = ""
lowercase__ = (
... | 74 | 0 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more o... | 363 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(A_ )
if number < 0:
return False
lowerCAmelCase__ : List[Any] = ... | 74 | 0 |
"""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... | 364 |
"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import sys
import warnings
from os.path import abspath, dirname, join
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' whe... | 74 | 0 |
"""simple docstring"""
import warnings
from ...utils import is_sklearn_available, requires_backends
if is_sklearn_available():
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef
__UpperCamelCase : Tuple = (
'''This metric will... | 365 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 74 | 0 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 366 |
"""simple docstring"""
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
__UpperCamelCase : int = '''%20'''.join(argv[1:]) if len(argv) > 1 else quot... | 74 | 0 |
"""simple docstring"""
import itertools
import string
from collections.abc import Generator, Iterable
def __SCREAMING_SNAKE_CASE ( A_ , A_ ):
lowerCAmelCase__ : Optional[int] = iter(A_ )
while True:
lowerCAmelCase__ : Union[str, Any] = tuple(itertools.i... | 367 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 74 | 0 |
"""simple docstring"""
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import (... | 368 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 74 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__UpperCamelCase : Tuple = {
'''configuration_funnel''': ['''FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Funnel... | 369 |
"""simple docstring"""
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] ... | 74 | 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 PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__Up... | 370 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__UpperCamelCase : Union[str, Any] = namedtuple(
... | 74 | 0 |
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import Tensor, nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...modeling_outputs import (
BackboneOutput,
BaseModelOutputWithNoAttention,
BaseModelOutputWithPoo... | 371 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__Up... | 74 | 0 |
def __A ( _lowercase , _lowercase ):
'''simple docstring'''
return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2
def __A ( _lowercase , _lowercase=0 ):
'''simple docstring'''
return sorted(_lowercase , key=lambd... | 75 |
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
class SCREAMING_SNAKE_CASE ... | 75 | 1 |
import inspect
import tempfile
from collections import OrderedDict, UserDict
from collections.abc import MutableMapping
from contextlib import ExitStack, contextmanager
from dataclasses import fields
from enum import Enum
from typing import Any, ContextManager, List, Tuple
import numpy as np
from .import_utils... | 75 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__A = logging.get_logger(__name__)
__A = {
'weiweishi/roc-bert-base-zh': 'https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json',
}
class SCREAMING_SNAKE_CASE ( snake_case ):
... | 75 | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.