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'''
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
lowerCamelCase__ = (
"""This metric will be removed fr... | 359 |
'''simple docstring'''
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_ava... | 322 | 0 |
'''simple docstring'''
import argparse
import copy
def __lowerCAmelCase (__lowerCAmelCase ):
_UpperCAmelCase : Tuple = {}
with open(__lowerCamelCase ) as f:
for line in f:
if line.split()[0] not in dict_of_neighbours:
_UpperCAmelCase : ... | 360 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
if number < 0:
raise ValueError("number must not be negative" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : Any = 0
_UpperCAmelCase : str = len(lowerCAmelCase__ ) - 1
while left <= right:
# avoid divided by 0 during interpolation
if sorted_collection[left] ... | 361 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
return sum(i for i in range(1 , number // 2 + 1 ) if number % i == 0 ) == number
if __name__ == "__main__":
print('Program to check whether a number is a Perfect number or not...')
lowerCamelCase__ = ... | 322 | 0 |
'''simple docstring'''
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
lowerCamelCase__ = '\\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Unders... | 362 |
'''simple docstring'''
from collections.abc import Sequence
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
return sum(c * (x**i) for i, c in enumerate(__lowerCAmelCase ) )
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase ():
_UpperCAmelCase : Optional[Any] = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
_UpperCAmelCase : Union[str, Any] = 6
_UpperCAmelCase : int = 1
_UpperCAmelCase : List[str] = 1_901
... | 363 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
_UpperCAmelCase : List[Any] = len(__lowerCAmelCase )
_UpperCAmelCase : Tuple = sum(__lowerCAmelCase )
_UpperCAmelCase : List[Any] = [[False for x in range(s + 1 )] for y in ra... | 322 | 0 |
'''simple docstring'''
# Copyright 2022 The HuggingFace Team and The OpenBMB 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.apa... | 364 |
'''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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_ou... | 322 | 0 |
'''simple docstring'''
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
lowerCamelCase__ = yaml.safe_load(
'\\nname: ""\nallow_empty: false\nallow_empty_t... | 365 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
_UpperCAmelCase : str = hex_num.strip()
if not hex_num:
raise ValueError("No value was passed to the function" )
_UpperCAmelCase : Tuple = hex_num[0] == """-"""
if is_negative:
_UpperCAmelCase ... | 366 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
lowerCamelCase__ = list[list[float | int]]
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : int = len(__lowerCAmelCase )
_Up... | 322 | 0 |
'''simple docstring'''
import baseaa
def __lowerCAmelCase (__lowerCAmelCase ):
return baseaa.baaencode(string.encode("utf-8" ) )
def __lowerCAmelCase (__lowerCAmelCase ):
return baseaa.baadecode(a_ ).decode("utf-8" )
if __name__ == "__main__":
l... | 367 |
'''simple docstring'''
from .testing import (
are_the_same_tensors,
execute_subprocess_async,
require_bnb,
require_cpu,
require_cuda,
require_huggingface_suite,
require_mps,
require_multi_gpu,
require_multi_xpu,
require_safetensors,
require_single_gpu,
... | 322 | 0 |
'''simple docstring'''
import cva
import numpy as np
class lowerCAmelCase__ :
def __init__( self : int , lowerCamelCase__ : Union[str, Any] , lowerCamelCase__ : Optional[int] ) ->List[str]:
'''simple docstring'''
if k in (0.0_4,... | 368 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Iterator
from typing import Generic, TypeVar
lowerCamelCase__ = TypeVar('T')
class lowerCAmelCase__ ( Generic[T] ):
def __init__( self : Union[str, Any]... | 322 | 0 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer
lowerCamelCase__ = {'''vocab_file''': '''vocab.txt''', '''tokenize... | 369 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
'facebook/s2t-wav2vec2-large-en-de': (
'https://huggingface.co/facebook/s2t-wav2vec2-la... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
if not isinstance(__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE ):
raise ValueError("Input series is not valid, valid series - [2, 4, 6]" )
if len(__SCREAMING_SNAKE_CASE ) == 0:
raise ValueError("Input list must be a non em... | 370 |
'''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_d... | 322 | 0 |
import json
import pathlib
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inpu... | 371 |
'''simple docstring'''
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig... | 322 | 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
lowerCamelCase__ = 'src/transfo... | 350 |
'''simple docstring'''
from manim import *
class lowerCAmelCase__ ( UpperCAmelCase__ ):
def lowerCAmelCase__ ( self : List[Any] ) ->str:
'''simple docstring'''
_UpperCAmelCase : Dict = Rectangle(h... | 322 | 0 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFImgaImgSuperResolutionPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device
from ... | 351 |
'''simple docstring'''
import fire
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase=1_024 , __lowerCAmelCase=1_024... | 322 | 0 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProce... | 352 |
'''simple docstring'''
import pytest
lowerCamelCase__ = '__dummy_dataset1__'
lowerCamelCase__ = '\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-... | 322 | 0 |
'''simple docstring'''
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=SCREAMING_SNAKE_CASE_ )
class lowerCAmelCase__ ( SCREAMING_SNAKE_CAS... | 353 |
'''simple docstring'''
import numpy as np
from nltk.translate import meteor_score
import datasets
from datasets.config import importlib_metadata, version
lowerCamelCase__ = version.parse(importlib_metadata.version('nltk'))
if NLTK_VERSION >= version.Version('3.6.4'):
from nltk ... | 322 | 0 |
'''simple docstring'''
lowerCamelCase__ = '\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'
l... | 354 |
'''simple docstring'''
from typing import List, Union
import numpy as np
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, logging
from .base import PIPELINE_INIT_ARGS, ArgumentHandler, ChunkPipeline
lowerCamelCase__ = logging.get_logger(__n... | 322 | 0 |
'''simple docstring'''
import gc
import unittest
from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
import jax.numpy as jnp
... | 355 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 4_000_000 ):
_UpperCAmelCase : List[Any] = []
_UpperCAmelCase , _UpperCAmelCase : Dict = 0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCAmelCase )
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
import math
import qiskit
def __lowerCAmelCase (__lowerCAmelCase = 1 , __lowerCAmelCase = 1 , __lowerCAmelCase = 1 ):
if (
isinstance(lowercase__ , lowercase__ )
or isinstance(lowercase__ , lowercase__ )
or isinstance(lowercas... | 356 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
... | 322 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ : Union[str, Any] = logging.get_logger(__name__)
lowerCamelCase__ : List[str] = {
'uclanlp/visualbert-vqa': 'https://huggingface.co/uclanlp/vi... | 357 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import evaluate
import numpy as np
import torch
from datasets import load_dataset
from PIL import Image
from torchvision.transforms import (
CenterCrop,
Compos... | 322 | 0 |
from typing import List, Optional, Union
import numpy as np
from ....audio_utils import mel_filter_bank, optimal_fft_length, spectrogram, window_function
from ....feature_extraction_sequence_utils import SequenceFeatureExtractor
from ....feature_extraction_utils import BatchFeature
from ....file_utils im... | 358 |
'''simple docstring'''
from typing import Optional, Tuple, Union
import tensorflow as tf
from ...activations_tf import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
from ...modeling_tf_outputs import (
TFBaseModelOutputWi... | 322 | 0 |
'''simple docstring'''
from __future__ import annotations
lowerCamelCase__ = "#"
class lowerCAmelCase__ :
def __init__( self : Tuple ) ->Optional[int]:
'''simple docstring'''
_UpperCAmelCase : Union[str, Any] = {}
def ... | 359 |
'''simple docstring'''
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_ava... | 322 | 0 |
'''simple docstring'''
import re
import jax.numpy as jnp
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.random import PRNGKey
from ..utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
def __lowerCAmelCase (__lowerCAmelCase ):
... | 360 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
if number < 0:
raise ValueError("number must not be negative" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 322 | 0 |
'''simple docstring'''
import logging
import sys
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Union
import librosa
import torch
from datasets import DatasetDict, load_dataset
from packaging import version
from torch import nn
from transformers import (
... | 361 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
return sum(i for i in range(1 , number // 2 + 1 ) if number % i == 0 ) == number
if __name__ == "__main__":
print('Program to check whether a number is a Perfect number or not...')
lowerCamelCase__ = ... | 322 | 0 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device
from ..pipe... | 362 |
'''simple docstring'''
from collections.abc import Sequence
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
return sum(c * (x**i) for i, c in enumerate(__lowerCAmelCase ) )
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 10 ):
if not isinstance(UpperCamelCase__ , UpperCamelCase__ ) or n < 0:
raise ValueError("Invalid input" )
_UpperCAmelCase : str = 10**n
_UpperCAmelCase : Tuple = 28_433 * (pow(... | 363 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
_UpperCAmelCase : List[Any] = len(__lowerCAmelCase )
_UpperCAmelCase : Tuple = sum(__lowerCAmelCase )
_UpperCAmelCase : List[Any] = [[False for x in range(s + 1 )] for y in ra... | 322 | 0 |
'''simple docstring'''
from typing import List, Optional, Union
import numpy as np
from ....audio_utils import mel_filter_bank, optimal_fft_length, spectrogram, window_function
from ....feature_extraction_sequence_utils import SequenceFeatureExtractor
from ....feature_extraction_utils import BatchFea... | 364 |
'''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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_ou... | 322 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
SpeechTaConfig,
SpeechTaFeatureExtractor,
SpeechTaForSpeechToSpeech,
SpeechTaForSpeechToText,
SpeechTaForTextToSpeech,
SpeechTaProcessor,
SpeechTaTokenizer,
logging,
)
from transform... | 365 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
... | 322 | 0 |
'''simple docstring'''
import collections
import inspect
import unittest
from transformers import FocalNetConfig
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_c... | 366 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
lowerCamelCase__ = list[list[float | int]]
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : int = len(__lowerCAmelCase )
_Up... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
while a != 0:
_UpperCAmelCase , _UpperCAmelCase : Optional[int] = b % a, a
return b
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
if gcd(UpperCamelCase__... | 367 |
'''simple docstring'''
from .testing import (
are_the_same_tensors,
execute_subprocess_async,
require_bnb,
require_cpu,
require_cuda,
require_huggingface_suite,
require_mps,
require_multi_gpu,
require_multi_xpu,
require_safetensors,
require_single_gpu,
... | 322 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json',... | 368 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Iterator
from typing import Generic, TypeVar
lowerCamelCase__ = TypeVar('T')
class lowerCAmelCase__ ( Generic[T] ):
def __init__( self : Union[str, Any]... | 322 | 0 |
'''simple docstring'''
import qiskit
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : List[str] = qiskit.Aer.get_backend("aer_simulator" )
# Create a Quantum Circuit acting on the q register
_UpperCAmelCase : Tuple = qiskit.... | 369 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
'facebook/s2t-wav2vec2-large-en-de': (
'https://huggingface.co/facebook/s2t-wav2vec2-la... | 322 | 0 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ): # noqa: E741
while r - l > 1:
_UpperCAmelCase : Any = (l + r) // 2
if v[m] >= key:
_UpperCAmelCase : Any ... | 370 |
'''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_d... | 322 | 0 |
import re
from pathlib import Path
from unittest import TestCase
import pytest
@pytest.mark.integration
class lowerCAmelCase__ ( _a ):
def lowerCAmelCase__ ( self : int , lowerCamelCase__ : str ) ->int:
'''simple do... | 371 |
'''simple docstring'''
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig... | 322 | 0 |
'''simple docstring'''
import json
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import... | 350 |
'''simple docstring'''
from manim import *
class lowerCAmelCase__ ( UpperCAmelCase__ ):
def lowerCAmelCase__ ( self : List[Any] ) ->str:
'''simple docstring'''
_UpperCAmelCase : Dict = Rectangle(h... | 322 | 0 |
'''simple docstring'''
from collections.abc import Sequence
def __lowerCAmelCase (__lowerCAmelCase = None ):
if nums is None or not nums:
raise ValueError("Input sequence should not be empty" )
_UpperCAmelCase : Optional[int] = nums[0]
for i in range(1 , len... | 351 |
'''simple docstring'''
import fire
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase=1_024 , __lowerCAmelCase=1_024... | 322 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
"""facebook/s2t-wav2vec2-large-en-de""": (
"""https://huggingface.co/facebook/s2t-wav2v... | 352 |
'''simple docstring'''
import pytest
lowerCamelCase__ = '__dummy_dataset1__'
lowerCamelCase__ = '\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-... | 322 | 0 |
'''simple docstring'''
from __future__ import annotations
from collections import namedtuple
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ) -> Optional[Any]:
_UpperCAmelCase : Dict = namedtuple("result" , "name value" )
if (voltag... | 353 |
'''simple docstring'''
import numpy as np
from nltk.translate import meteor_score
import datasets
from datasets.config import importlib_metadata, version
lowerCamelCase__ = version.parse(importlib_metadata.version('nltk'))
if NLTK_VERSION >= version.Version('3.6.4'):
from nltk ... | 322 | 0 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class lowerCAmelCase__ ( metaclass=UpperCAmelCase__ ):
lowerCAmelCase : List[str] = ["torch", "scipy"]
def __init__( self : Union[str, Any] , *lowerCamelCase__ :... | 354 |
'''simple docstring'''
from typing import List, Union
import numpy as np
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, logging
from .base import PIPELINE_INIT_ARGS, ArgumentHandler, ChunkPipeline
lowerCamelCase__ = logging.get_logger(__n... | 322 | 0 |
'''simple docstring'''
import os
import tempfile
import unittest
from transformers import DistilBertConfig, is_torch_available
from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_comm... | 355 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 4_000_000 ):
_UpperCAmelCase : List[Any] = []
_UpperCAmelCase , _UpperCAmelCase : Dict = 0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCAmelCase )
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import re... | 356 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
... | 322 | 0 |
'''simple docstring'''
import copy
from typing import Dict, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig
lowerCamelCase__ : int = {
"fac... | 357 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import evaluate
import numpy as np
import torch
from datasets import load_dataset
from PIL import Image
from torchvision.transforms import (
CenterCrop,
Compos... | 322 | 0 |
import random
import unittest
import torch
from diffusers import IFInpaintingSuperResolutionPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device
from ..pipeline_params import ... | 358 |
'''simple docstring'''
from typing import Optional, Tuple, Union
import tensorflow as tf
from ...activations_tf import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
from ...modeling_tf_outputs import (
TFBaseModelOutputWi... | 322 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
'microsof... | 359 |
'''simple docstring'''
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_ava... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 1_000 ):
_UpperCAmelCase : List[str] = 2**power
_UpperCAmelCase : List[Any] = 0
while n:
_UpperCAmelCase , _UpperCAmelCase : Optional[int] = r + n % 10, n // 10
return r
... | 360 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
if number < 0:
raise ValueError("number must not be negative" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 322 | 0 |
'''simple docstring'''
import os
import re
import sys
import traceback
import warnings
from pathlib import Path
from typing import Dict, Optional, Union
from uuid import uuida
from huggingface_hub import HfFolder, ModelCard, ModelCardData, hf_hub_download, whoami
from huggingface_hub.file_download... | 361 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
return sum(i for i in range(1 , number // 2 + 1 ) if number % i == 0 ) == number
if __name__ == "__main__":
print('Program to check whether a number is a Perfect number or not...')
lowerCamelCase__ = ... | 322 | 0 |
'''simple docstring'''
import argparse
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_controlnet_from_original_ckpt
if __name__ == "__main__":
lowerCamelCase__ = argparse.ArgumentParser()
parser.add_argument(
'--checkpoint_pat... | 362 |
'''simple docstring'''
from collections.abc import Sequence
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
return sum(c * (x**i) for i, c in enumerate(__lowerCAmelCase ) )
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
if len(lowercase__ ) < 2:
return collection
def circle_sort_util(__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ) -> bool:
_UpperCAmelCase : List[Any] = False
if low == high:
re... | 363 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
_UpperCAmelCase : List[Any] = len(__lowerCAmelCase )
_UpperCAmelCase : Tuple = sum(__lowerCAmelCase )
_UpperCAmelCase : List[Any] = [[False for x in range(s + 1 )] for y in ra... | 322 | 0 |
'''simple docstring'''
from sklearn.metrics import matthews_corrcoef
import datasets
lowerCamelCase__ = '\nCompute the Matthews correlation coefficient (MCC)\n\nThe Matthews correlation coefficient is used in machine learning as a\nmeasure of the quality of binary and multiclass classifi... | 364 |
'''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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_ou... | 322 | 0 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel
from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
... | 365 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase = False ):
if not isinstance(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
_UpperCAmelCase : List[Any] = F"""Expected string as input, found {type(SCREAMING_SNAKE_CASE_ )}"""
raise ValueErro... | 366 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
lowerCamelCase__ = list[list[float | int]]
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : int = len(__lowerCAmelCase )
_Up... | 322 | 0 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __lowerCAmelCase (__lowerCAmelCase = "https://www.worldometers.info/coronavirus" ):
_UpperCAmelCase : Optional[Any] = BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__ ).text , "html.parser" )
... | 367 |
'''simple docstring'''
from .testing import (
are_the_same_tensors,
execute_subprocess_async,
require_bnb,
require_cpu,
require_cuda,
require_huggingface_suite,
require_mps,
require_multi_gpu,
require_multi_xpu,
require_safetensors,
require_single_gpu,
... | 322 | 0 |
'''simple docstring'''
from __future__ import annotations
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : list[list[int]] = []
_UpperCAmelCase : list[int] = []
_UpperCAmelCase : str = 0
_UpperCAmelCase : Dict ... | 368 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Iterator
from typing import Generic, TypeVar
lowerCamelCase__ = TypeVar('T')
class lowerCAmelCase__ ( Generic[T] ):
def __init__( self : Union[str, Any]... | 322 | 0 |
'''simple docstring'''
import os
from distutils.util import strtobool
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
for e in env_keys:
_UpperCAmelCase : Tuple = int(os.environ.get(a__ , -1 ) )
if val >= 0:
return val
return default
... | 369 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
'facebook/s2t-wav2vec2-large-en-de': (
'https://huggingface.co/facebook/s2t-wav2vec2-la... | 322 | 0 |
'''simple docstring'''
from math import log
from scipy.constants import Boltzmann, physical_constants
lowerCamelCase__ = 300 # TEMPERATURE (unit = K)
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase , ):
if donor_conc <= 0:
raise ValueError("Donor concentra... | 370 |
'''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_d... | 322 | 0 |
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from .tokenization... | 371 |
'''simple docstring'''
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig... | 322 | 0 |
'''simple docstring'''
import unittest
from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow
if is_flax_available():
import jax.numpy as jnp
from transformers import FlaxXLMRobert... | 350 |
'''simple docstring'''
from manim import *
class lowerCAmelCase__ ( UpperCAmelCase__ ):
def lowerCAmelCase__ ( self : List[Any] ) ->str:
'''simple docstring'''
_UpperCAmelCase : Dict = Rectangle(h... | 322 | 0 |
'''simple docstring'''
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import BaseOutput, is_torch_available, is_transformers_available
@dataclass
class lowerCAmelCase_... | 351 |
'''simple docstring'''
import fire
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase=1_024 , __lowerCAmelCase=1_024... | 322 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCamelCase__ = {
'configuration_instructblip': [
'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
'InstructBlipConfig',
... | 352 |
'''simple docstring'''
import pytest
lowerCamelCase__ = '__dummy_dataset1__'
lowerCamelCase__ = '\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 1_000_000 ) -> Dict:
_UpperCAmelCase : Any = 1
_UpperCAmelCase : Optional[Any] = 1
_UpperCAmelCase : Any = {1: 1}
for inputa in range(2 , UpperCAmelCase_ ):
_UpperCAmelCas... | 353 |
'''simple docstring'''
import numpy as np
from nltk.translate import meteor_score
import datasets
from datasets.config import importlib_metadata, version
lowerCamelCase__ = version.parse(importlib_metadata.version('nltk'))
if NLTK_VERSION >= version.Version('3.6.4'):
from nltk ... | 322 | 0 |
'''simple docstring'''
import io
import itertools
import json
from dataclasses import dataclass
from typing import Optional
import pyarrow as pa
import pyarrow.json as paj
import datasets
from datasets.table import table_cast
from datasets.utils.file_utils import readline
lowerCamelCase__ ... | 354 |
'''simple docstring'''
from typing import List, Union
import numpy as np
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, logging
from .base import PIPELINE_INIT_ARGS, ArgumentHandler, ChunkPipeline
lowerCamelCase__ = logging.get_logger(__n... | 322 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCamelCase__ = {
"configuration_x_clip": [
"XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
"XCLIPConfig",
"XCLIPTextConf... | 355 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 4_000_000 ):
_UpperCAmelCase : List[Any] = []
_UpperCAmelCase , _UpperCAmelCase : Dict = 0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCAmelCase )
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : Tuple = [False] * len(__UpperCAmelCase )
_UpperCAmelCase : int = []
queue.append(__UpperCAmelCase )
_UpperCAmelCase ... | 356 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
if digit_amount > 0:
return round(number - int(lowercase_ ) , lowercase_ )
return number - int(lowercase_ )
if __name__ == "__main__":
print(decimal_isolate(1.53, 0))
print(decimal_i... | 357 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import evaluate
import numpy as np
import torch
from datasets import load_dataset
from PIL import Image
from torchvision.transforms import (
CenterCrop,
Compos... | 322 | 0 |
import qiskit
def __lowerCAmelCase (__lowerCAmelCase = 2 ):
_UpperCAmelCase : int = qubits
# Using Aer's simulator
_UpperCAmelCase : str = qiskit.Aer.get_backend("aer_simulator" )
# Creating a Quantum Circuit acting on the q register
_UpperCAmel... | 358 |
'''simple docstring'''
from typing import Optional, Tuple, Union
import tensorflow as tf
from ...activations_tf import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
from ...modeling_tf_outputs import (
TFBaseModelOutputWi... | 322 | 0 |
'''simple docstring'''
import argparse
import os
import numpy as np
import tensorflow as tf
import torch
from transformers import BertModel
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : Dict = ("dense.weight", "attention.self.query", ... | 359 |
'''simple docstring'''
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_ava... | 322 | 0 |
'''simple docstring'''
import requests
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : Any = {"""Content-Type""": """application/json"""}
_UpperCAmelCase : int = requests.post(__lowerCAmelCase , json={"text": message_body} , ... | 360 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
if number < 0:
raise ValueError("number must not be negative" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 322 | 0 |
'''simple docstring'''
import inspect
import os
import sys
import unittest
import accelerate
from accelerate.test_utils import execute_subprocess_async, require_tpu
class lowerCAmelCase__ ( unittest.TestCase ):
def lowerCAmelCase__ ( self : ... | 361 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
return sum(i for i in range(1 , number // 2 + 1 ) if number % i == 0 ) == number
if __name__ == "__main__":
print('Program to check whether a number is a Perfect number or not...')
lowerCamelCase__ = ... | 322 | 0 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor
lowerCamelCase__ = logging.get_logger(__name__)
class lowerCAmelCase__ ( lowerCamelCase__ ):
def __init__( ... | 362 |
'''simple docstring'''
from collections.abc import Sequence
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
return sum(c * (x**i) for i, c in enumerate(__lowerCAmelCase ) )
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
import os
import pytest
from transformers.dynamic_module_utils import get_imports
lowerCamelCase__ = '''
import os
'''
lowerCamelCase__ = '''
def foo():
import os
return False
'''
lowerCamelCase__ = '''
def foo():
def ... | 363 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
_UpperCAmelCase : List[Any] = len(__lowerCAmelCase )
_UpperCAmelCase : Tuple = sum(__lowerCAmelCase )
_UpperCAmelCase : List[Any] = [[False for x in range(s + 1 )] for y in ra... | 322 | 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,
AutoModelForPreTr... | 364 |
'''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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_ou... | 322 | 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
lowerCamelCase__ = logg... | 365 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
... | 322 | 0 |
'''simple docstring'''
import argparse
import OmegaConf
import torch
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : List[str] = OmegaConf.load(lowerCAmelCase__ ... | 366 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
lowerCamelCase__ = list[list[float | int]]
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : int = len(__lowerCAmelCase )
_Up... | 322 | 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
lowerCamelCase__ = logging.get_logger(__name__... | 367 |
'''simple docstring'''
from .testing import (
are_the_same_tensors,
execute_subprocess_async,
require_bnb,
require_cpu,
require_cuda,
require_huggingface_suite,
require_mps,
require_multi_gpu,
require_multi_xpu,
require_safetensors,
require_single_gpu,
... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
# Return True if there is node that has not iterated.
_UpperCAmelCase : Optional[int] = [False] * len(lowerCamelCase_ )
_UpperCAmelCase : Union[str, Any] ... | 368 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Iterator
from typing import Generic, TypeVar
lowerCamelCase__ = TypeVar('T')
class lowerCAmelCase__ ( Generic[T] ):
def __init__( self : Union[str, Any]... | 322 | 0 |
'''simple docstring'''
import shutil
import tempfile
import unittest
from unittest.mock import patch
from transformers import (
DefaultFlowCallback,
IntervalStrategy,
PrinterCallback,
ProgressCallback,
Trainer,
TrainerCallback,
TrainingArguments,
is_torch_available,
)... | 369 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
'facebook/s2t-wav2vec2-large-en-de': (
'https://huggingface.co/facebook/s2t-wav2vec2-la... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 10**9 ):
_UpperCAmelCase : Tuple = 1
_UpperCAmelCase : Dict = 2
_UpperCAmelCase : Dict = 0
_UpperCAmelCase : Dict = 0
_UpperCAmelCase : int = 0
while perimeter... | 370 |
'''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_d... | 322 | 0 |
lowerCamelCase__ = [0, 2, 4, 6, 8]
lowerCamelCase__ = [1, 3, 5, 7, 9]
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
if remaining_length == 0:
if digits[0] == 0 or digits[-1] == 0:
return 0
... | 371 |
'''simple docstring'''
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig... | 322 | 0 |
'''simple docstring'''
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
FEATURE_EXTRACTOR_MAPPING,
AutoConfig,
AutoFeatureExtractor,
WavaVecaConfig,
WavaVecaFeatureExtractor,
)... | 350 |
'''simple docstring'''
from manim import *
class lowerCAmelCase__ ( UpperCAmelCase__ ):
def lowerCAmelCase__ ( self : List[Any] ) ->str:
'''simple docstring'''
_UpperCAmelCase : Dict = Rectangle(h... | 322 | 0 |
'''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()):
raise OptionalDependencyNotAvailable()
... | 351 |
'''simple docstring'''
import fire
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase=1_024 , __lowerCAmelCase=1_024... | 322 | 0 |
'''simple docstring'''
import os
import sys
import unittest
lowerCamelCase__ = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))
import get_test_info # noqa: E402
from get_test_info import ( # noqa: E4... | 352 |
'''simple docstring'''
import pytest
lowerCamelCase__ = '__dummy_dataset1__'
lowerCamelCase__ = '\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-... | 322 | 0 |
'''simple docstring'''
import torch
from accelerate import PartialState
from accelerate.utils.operations import broadcast, gather, gather_object, pad_across_processes, reduce
def __lowerCAmelCase (__lowerCAmelCase ) -> Dict:
return (torch.arange(state.num_processes ) + 1.0 + (st... | 353 |
'''simple docstring'''
import numpy as np
from nltk.translate import meteor_score
import datasets
from datasets.config import importlib_metadata, version
lowerCamelCase__ = version.parse(importlib_metadata.version('nltk'))
if NLTK_VERSION >= version.Version('3.6.4'):
from nltk ... | 322 | 0 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def __lowerCAmelCase ():
_UpperCAmelCase : Dict = ArgumentParser(
description=(
... | 354 |
'''simple docstring'''
from typing import List, Union
import numpy as np
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, logging
from .base import PIPELINE_INIT_ARGS, ArgumentHandler, ChunkPipeline
lowerCamelCase__ = logging.get_logger(__n... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 10 , __lowerCAmelCase = 22 ):
_UpperCAmelCase : str = range(1 , __lowerCAmelCase )
_UpperCAmelCase : List[Any] = range(1 , __lowerCAmelCase )
return sum(
1 for power in powers for base in b... | 355 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase = 4_000_000 ):
_UpperCAmelCase : List[Any] = []
_UpperCAmelCase , _UpperCAmelCase : Dict = 0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCAmelCase )
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : Optional[Any] = len(lowerCamelCase_ )
_UpperCAmelCase : str = len(lowerCamelCase_ )
_UpperCAmelCase : Union[str, Any] = [[False for _ in range(... | 356 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
... | 322 | 0 |
'''simple docstring'''
from __future__ import annotations
import math
lowerCamelCase__ : str = "2020.9.26"
lowerCamelCase__ : str = "xcodz-dot, cclaus, dhruvmanila"
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmel... | 357 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import evaluate
import numpy as np
import torch
from datasets import load_dataset
from PIL import Image
from torchvision.transforms import (
CenterCrop,
Compos... | 322 | 0 |
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : Optional[Any] = 0
while b > 0:
if b & 1:
res += a
a += a
b >>= 1
return res
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
_Uppe... | 358 |
'''simple docstring'''
from typing import Optional, Tuple, Union
import tensorflow as tf
from ...activations_tf import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
from ...modeling_tf_outputs import (
TFBaseModelOutputWi... | 322 | 0 |
'''simple docstring'''
from ....configuration_utils import PretrainedConfig
from ....utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
"speechbrain/m-ctc-t-large": "https://huggingface.co/speechbrain/m-ctc-t-large/resolve/main/config.json",
... | 359 |
'''simple docstring'''
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_ava... | 322 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
lowerCamelCase__ = {
'configuration_ctrl': ['CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CTRLConfig'],
'tokenization_ctrl': ['... | 360 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
if number < 0:
raise ValueError("number must not be negative" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 322 | 0 |
'''simple docstring'''
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json
def... | 361 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
return sum(i for i in range(1 , number // 2 + 1 ) if number % i == 0 ) == number
if __name__ == "__main__":
print('Program to check whether a number is a Perfect number or not...')
lowerCamelCase__ = ... | 322 | 0 |
'''simple docstring'''
import asyncio
import os
import re
import sys
import tempfile
import unittest
from contextlib import contextmanager
from copy import deepcopy
from distutils.util import strtobool
from enum import Enum
from importlib.util import find_spec
from pathlib import Path
from ... | 362 |
'''simple docstring'''
from collections.abc import Sequence
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
return sum(c * (x**i) for i, c in enumerate(__lowerCAmelCase ) )
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase ... | 322 | 0 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
return number | (1 << position)
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
return number & ~(1 << position)
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ... | 363 |
'''simple docstring'''
def __lowerCAmelCase (__lowerCAmelCase ):
_UpperCAmelCase : List[Any] = len(__lowerCAmelCase )
_UpperCAmelCase : Tuple = sum(__lowerCAmelCase )
_UpperCAmelCase : List[Any] = [[False for x in range(s + 1 )] for y in ra... | 322 | 0 |
'''simple docstring'''
import unittest
from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property
from ...test_tokenization_common i... | 364 |
'''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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_ou... | 322 | 0 |
'''simple docstring'''
from collections.abc import Sequence
def __lowerCAmelCase (__lowerCAmelCase = None ):
if nums is None or not nums:
raise ValueError("Input sequence should not be empty" )
_UpperCAmelCase : str = nums[0]
for i in range(1 , len(snake_case... | 365 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
... | 322 | 0 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import MutableSequence
class lowerCAmelCase__ :
def __init__( self : Union[str, Any] , lowerCamelCase__ : Tuple , lowerCamelCase__ : Tuple ) ->None:
'''simple d... | 366 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
lowerCamelCase__ = list[list[float | int]]
def __lowerCAmelCase (__lowerCAmelCase , __lowerCAmelCase ):
_UpperCAmelCase : int = len(__lowerCAmelCase )
_Up... | 322 | 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
c... | 367 |
'''simple docstring'''
from .testing import (
are_the_same_tensors,
execute_subprocess_async,
require_bnb,
require_cpu,
require_cuda,
require_huggingface_suite,
require_mps,
require_multi_gpu,
require_multi_xpu,
require_safetensors,
require_single_gpu,
... | 322 | 0 |
'''simple docstring'''
import warnings
from contextlib import contextmanager
from ...processing_utils import ProcessorMixin
class lowerCAmelCase__ ( UpperCamelCase__ ):
lowerCAmelCase : Optional[int] = """Speech2TextFeatureExtractor"""
lowerCAmelCase : Optional[int] = ... | 368 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Iterator
from typing import Generic, TypeVar
lowerCamelCase__ = TypeVar('T')
class lowerCAmelCase__ ( Generic[T] ):
def __init__( self : Union[str, Any]... | 322 | 0 |
'''simple docstring'''
import argparse
import json
import logging
import os
import shutil
import sys
import tempfile
import unittest
from unittest import mock
import torch
from accelerate.utils import write_basic_config
from transformers.testing_utils import TestCasePlus, get_gpu_count, run_command,... | 369 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCamelCase__ = logging.get_logger(__name__)
lowerCamelCase__ = {
'facebook/s2t-wav2vec2-large-en-de': (
'https://huggingface.co/facebook/s2t-wav2vec2-la... | 322 | 0 |
'''simple docstring'''
import math
import sys
def __lowerCAmelCase (__lowerCAmelCase ):
if number != int(__SCREAMING_SNAKE_CASE ):
raise ValueError("the value of input must be a natural number" )
if number < 0:
raise ValueError("the value of input must not be a negative number" )
i... | 370 |
'''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_d... | 322 | 0 |
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