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 copy
import os
from typing import TYPE_CHECKING, List, Union
if TYPE_CHECKING:
pass
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : str = logging.get_logger(__name__)
a : int = ... | 350 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->bool:
'''simple docstring'''
return number & 1 == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 79 | 0 |
"""simple docstring"""
import warnings
from typing import List, Optional, Tuple, Union
import numpy as np
import PIL
import torch
from ...models import UNetaDModel
from ...schedulers import RePaintScheduler
from ...utils import PIL_INTERPOLATION, logging, randn_tensor
from ..pipeline_ut... | 351 |
"""simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noq... | 79 | 0 |
"""simple docstring"""
import qiskit
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->qiskit.result.counts.Counts:
'''simple docstring'''
a : Any = qiskit.Aer.get_backend("aer_simulator" )
# Create a Quantum Circuit acting on the q... | 352 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_f... | 79 | 0 |
"""simple docstring"""
import json
import os
import unittest
from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class __UpperCamelCase ( SCREAMING_SNAKE_CASE_ , unittest.TestCase... | 353 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.util... | 79 | 0 |
"""simple docstring"""
from math import asin, atan, cos, radians, sin, sqrt, tan
a : str = 6378137.0
a : str = 6356752.314245
a : Optional[Any] = 6378137
def _SCREAMING_SNAKE_CASE ( _lowercase : float ... | 354 |
"""simple docstring"""
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
a : List[str] = logging.get_logger(__name__)
a ... | 79 | 0 |
"""simple docstring"""
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import torch
from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
@dataclass
class __UpperCamelCase ( _UpperCAmelCase ... | 355 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : list[list[int]] ) ->int:
'''simple docstring'''
for i in range(1 , len(matrix[0] ) ):
matrix[0][i] += matrix[0][i - 1]
# preprocessi... | 79 | 0 |
"""simple docstring"""
import argparse
import json
import subprocess
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : List[str] ) ->Any:
'''simple docstring'''
a : Optional[Any] = []
a : List[str] ... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
a : Any = {'''configuration_fnet''': ['''FNET... | 79 | 0 |
import copy
import tempfile
import unittest
from huggingface_hub import HfFolder, delete_repo
from parameterized import parameterized
from requests.exceptions import HTTPError
from transformers import AutoConfig, GenerationConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test... | 357 |
"""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/lic... | 79 | 0 |
"""simple docstring"""
from argparse import ArgumentParser
from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsC... | 358 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _SCREAMING_SNAKE_CASE ( ) ->Optional[Any]:
'''simple docstring'''
a : int = HfArgumentParser(_lowercase )
a : ... | 79 | 0 |
"""simple docstring"""
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging
a ... | 359 |
"""simple docstring"""
from datetime import datetime
import requests
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
a : Optional[Any] = "https://downloadgram.net/wp-json/wppress/video-downloader... | 79 | 0 |
"""simple docstring"""
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
a : int = logging.get_logger(__name__)
a : ... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
a : List[str] = {
'''configuration_perceiver'''... | 79 | 0 |
"""simple docstring"""
import unittest
from queue import Empty
from threading import Thread
from transformers import AutoTokenizer, TextIteratorStreamer, TextStreamer, is_torch_available
from transformers.testing_utils import CaptureStdout, require_torch, torch_device
from ..test_modeling_common import ids_... | 361 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=a__ )
class __UpperCamelCase ( a__ ):
# `task` is not a ClassVar since we w... | 79 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
if TYPE_CHECKING:
from ... import FeatureExtractionMixin, T... | 362 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 50 ) ->int:
'''simple docstring'''
a : Any = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for ... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
a : Any = {
'''configuration_clap''': [
'''CLAP_PRETRAINED_MODEL_ARCHIVE_LIST''',
'''ClapAudioConfig''',
... | 363 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
a : Optional[int] = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/m... | 79 | 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 jn... | 364 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->dict[str, float]:
'''simple docstring'''
... | 79 | 0 |
import copy
import inspect
import unittest
from transformers import PretrainedConfig, SwiftFormerConfig
from transformers.testing_utils import (
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is_torch_available, is_vision_avai... | 365 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : Dict = logging.get_logger(__name__)
a : List[Any] = {
'''s-JoL/Open-Llama-V1''': '''https://huggingface.co/s-JoL/Open-Llama-V1/blob/mai... | 79 | 0 |
"""simple docstring"""
import os
import tempfile
import unittest
from transformers import FlaubertConfig, 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_common import M... | 366 |
"""simple docstring"""
import sacrebleu as scb
from packaging import version
from sacrebleu import TER
import datasets
a : Tuple = '''\
@inproceedings{snover-etal-2006-study,
title = "A Study of Translation Edit Rate with Targeted Human Annotation",
author = "... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_v... | 367 |
"""simple docstring"""
a : Optional[int] = 8.31_4462 # Unit - J mol-1 K-1
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if ... | 79 | 0 |
"""simple docstring"""
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def _SCREAMING_SNAKE_CASE ( _lowercase : Tuple ) ->Any:
'''simple docstring'''
a : str = FileLock(str(tmpdir ... | 368 |
"""simple docstring"""
import unittest
from queue import Empty
from threading import Thread
from transformers import AutoTokenizer, TextIteratorStreamer, TextStreamer, is_torch_available
from transformers.testing_utils import CaptureStdout, require_torch, torch_device
from ..test_modeling_... | 79 | 0 |
"""simple docstring"""
import torch
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
class __UpperCamelCase ( a__ , a__ ):
@register_to_config
def __init__( self , *... | 369 |
"""simple docstring"""
import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import load_iris
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
def _SCREAMING_SNAKE_... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float ) ->Optional[Any]:
'''simple docstring'''
if density <= 0:
raise ValueError("Impossible fluid density" )
if bulk_modulus <= 0:
raise ValueError("Impossible bulk modulus" )
... | 370 |
"""simple docstring"""
import math
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 100 ) ->int:
'''simple docstring'''
a : Dict = sum(i * i for i in range(1 , n + 1 ) )
a : Tuple = int(math.pow(sum(range(1 , n + 1... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : List[Any] ) ->bool:
'''simple docstring'''
a : Optional[Any] = str(_lowerCAmelCase )
return len(_lowerCAmelCase ) == 9 and set(_... | 371 |
"""simple docstring"""
from itertools import product
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->list[int]:
'''simple docstring'''
a : Dict = sides_number
a : List[str] = max_face_num... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : List[Any] ) ->bool:
'''simple docstring'''
a : Dict = [int(__lowerCAmelCase ) for i in ip_va_address.split("." ) if i.isdigit()]
return len(__lowerCAmelCase ) == 4 and all(0 <= int(_... | 350 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->bool:
'''simple docstring'''
return number & 1 == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 79 | 0 |
"""simple docstring"""
import inspect
import unittest
from transformers import MobileNetVaConfig
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_con... | 351 |
"""simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noq... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
a : str = {
"""configuration_vision_text_dual_encoder""": ["""VisionTextDualEnco... | 352 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_f... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
a : int = {
'''configuration_xlm_roberta_xl''': [
'''XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''X... | 353 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.util... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
a : List[Any] = {'''configuration_sew''': ['''SEW_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWConfig''']}
try:
if not is_torch_... | 354 |
"""simple docstring"""
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
a : List[str] = logging.get_logger(__name__)
a ... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections import namedtuple
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->tuple:
'''simple docstring'''
a : Dict = namedtuple("res... | 355 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : list[list[int]] ) ->int:
'''simple docstring'''
for i in range(1 , len(matrix[0] ) ):
matrix[0][i] += matrix[0][i - 1]
# preprocessi... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->Tuple:
'''simple docstring'''
a : int = abs(_lowercase )
a : Any = 0
while n > 0:
res += n % 10
n //= 10
return res
def _SCREAMING... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
a : Any = {'''configuration_fnet''': ['''FNET... | 79 | 0 |
import timeit
import numpy as np
import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD
def _SCREAMING_SNAKE_CASE ( _lowercase : Dict ) ->Optional[Any]:
'''simple docstring'''
def wrappe... | 357 |
"""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/lic... | 79 | 0 |
"""simple docstring"""
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.utils.data import DistributedSampler, RandomSampler
from transformers import PreTrainedModel, Trainer, logging
from transformers.integrations import is_fairscale_a... | 358 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _SCREAMING_SNAKE_CASE ( ) ->Optional[Any]:
'''simple docstring'''
a : int = HfArgumentParser(_lowercase )
a : ... | 79 | 0 |
"""simple docstring"""
import os
def _SCREAMING_SNAKE_CASE ( _lowercase : Union[str, Any] = "matrix.txt" ) ->int:
'''simple docstring'''
with open(os.path.join(os.path.dirname(_UpperCAmelCase ) , _UpperCAmelCase ) ) as in_file:
a : ... | 359 |
"""simple docstring"""
from datetime import datetime
import requests
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
a : Optional[Any] = "https://downloadgram.net/wp-json/wppress/video-downloader... | 79 | 0 |
"""simple docstring"""
import gc
import unittest
from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
from diffusers.utils import is_flax_available, slow
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
import... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
a : List[str] = {
'''configuration_perceiver'''... | 79 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : Any = logging.get_logger(__name__)
a : List[Any] = {
'''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/config.json''',
... | 361 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=a__ )
class __UpperCamelCase ( a__ ):
# `task` is not a ClassVar since we w... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
import math
import random
from typing import Any
class __UpperCamelCase :
def __init__( self ) -> None:
a : list[Any] = []
a : int = 0
a : in... | 362 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 50 ) ->int:
'''simple docstring'''
a : Any = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for ... | 79 | 0 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_download, hf_hub_url
from PIL import Image
from transformers import DetaConfig, DetaForObjectDetection, DetaImageProcessor, SwinCon... | 363 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
a : Optional[int] = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/m... | 79 | 0 |
"""simple docstring"""
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_... | 364 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->dict[str, float]:
'''simple docstring'''
... | 79 | 0 |
from typing import Optional, Tuple
import jax
import jax.numpy as jnp
from flax import linen as nn
from flax.core.frozen_dict import FrozenDict
from transformers import CLIPConfig, FlaxPreTrainedModel
from transformers.models.clip.modeling_flax_clip import FlaxCLIPVisionModule
def _... | 365 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : Dict = logging.get_logger(__name__)
a : List[Any] = {
'''s-JoL/Open-Llama-V1''': '''https://huggingface.co/s-JoL/Open-Llama-V1/blob/mai... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
a : int = {
"""configuration_biogpt""": ["""BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BioGptConfig"""],
"""tok... | 366 |
"""simple docstring"""
import sacrebleu as scb
from packaging import version
from sacrebleu import TER
import datasets
a : Tuple = '''\
@inproceedings{snover-etal-2006-study,
title = "A Study of Translation Edit Rate with Targeted Human Annotation",
author = "... | 79 | 0 |
"""simple docstring"""
a = {
'''Pillow''': '''Pillow<10.0.0''',
'''accelerate''': '''accelerate>=0.20.3''',
'''av''': '''av==9.2.0''',
'''beautifulsoup4''': '''beautifulsoup4''',
'''black''': '''black~=23.1''',
'''codecarbon''': '''codecarbon==1.2.0''',
... | 367 |
"""simple docstring"""
a : Optional[int] = 8.31_4462 # Unit - J mol-1 K-1
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if ... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
a : Optional[Any] = {
'''configuration_informer''': [
'''INFORMER_PRETRAINED_... | 368 |
"""simple docstring"""
import unittest
from queue import Empty
from threading import Thread
from transformers import AutoTokenizer, TextIteratorStreamer, TextStreamer, is_torch_available
from transformers.testing_utils import CaptureStdout, require_torch, torch_device
from ..test_modeling_... | 79 | 0 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, ... | 369 |
"""simple docstring"""
import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import load_iris
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
def _SCREAMING_SNAKE_... | 79 | 0 |
"""simple docstring"""
from graphs.minimum_spanning_tree_kruskal import kruskal
def _SCREAMING_SNAKE_CASE ( ) ->Union[str, Any]:
'''simple docstring'''
a : str = 9
a : Dict = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
[7, 8, 7],
[7, 6, 1],... | 370 |
"""simple docstring"""
import math
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 100 ) ->int:
'''simple docstring'''
a : Dict = sum(i * i for i in range(1 , n + 1 ) )
a : Tuple = int(math.pow(sum(range(1 , n + 1... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] ) ->List[str]:
'''simple docstring'''
a : str = []
if len(_lowercase ) == 1:
return [nums.copy()]
for _ in range(len(_lowercase ) ):
a : int = ... | 371 |
"""simple docstring"""
from itertools import product
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->list[int]:
'''simple docstring'''
a : Dict = sides_number
a : List[str] = max_face_num... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tensorflow_text_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
a : Union[str, An... | 350 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->bool:
'''simple docstring'''
return number & 1 == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 79 | 0 |
"""simple docstring"""
import logging
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import numpy as np
from utils_multiple_choice import MultipleChoiceDataset, Split, processors
import transformers
from transformers import (
AutoConfig,
Au... | 351 |
"""simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noq... | 79 | 0 |
"""simple docstring"""
import os
import re
import warnings
from shutil import copyfile
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
if TYPE_CHECKING:
from ...tokenization_utils_base import TextInput
f... | 352 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_f... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
import time
from math import sqrt
# 1 for manhattan, 0 for euclidean
a : str = 0
a : Any = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obst... | 353 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.util... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
import os
from typing import Any
import requests
a : List[str] = '''https://api.github.com'''
# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
a : Tup... | 354 |
"""simple docstring"""
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
a : List[str] = logging.get_logger(__name__)
a ... | 79 | 0 |
"""simple docstring"""
import qiskit
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->qiskit.result.counts.Counts:
'''simple docstring'''
a : Optional[int] = qiskit.Aer.get_backend("aer_simulator" )
a : Dict = qiskit.Qua... | 355 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : list[list[int]] ) ->int:
'''simple docstring'''
for i in range(1 , len(matrix[0] ) ):
matrix[0][i] += matrix[0][i - 1]
# preprocessi... | 79 | 0 |
"""simple docstring"""
a : List[Any] = 'Alexander Joslin'
import operator as op
from .stack import Stack
def _SCREAMING_SNAKE_CASE ( _lowercase : Union[str, Any] ) ->int:
'''simple docstring'''
a : Optional[in... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
a : Any = {'''configuration_fnet''': ['''FNET... | 79 | 0 |
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
a : List[str] = logging.get_logger(__name__)
... | 357 |
"""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/lic... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
from cmath import sqrt
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : List[Any] , _lowercase : Optional[int] ) ->Tuple:
'''simple docstring'''
... | 358 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _SCREAMING_SNAKE_CASE ( ) ->Optional[Any]:
'''simple docstring'''
a : int = HfArgumentParser(_lowercase )
a : ... | 79 | 0 |
"""simple docstring"""
import argparse
import collections
import json
from pathlib import Path
import requests
import torch
import yaml
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
MobileViTImageProcessor,
MobileViTVaConfig,
... | 359 |
"""simple docstring"""
from datetime import datetime
import requests
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
a : Optional[Any] = "https://downloadgram.net/wp-json/wppress/video-downloader... | 79 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available
a : str = {
"configuration_gpt_neo": ["GPT_NEO_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoConfig", "GPTNeoOnn... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
a : List[str] = {
'''configuration_perceiver'''... | 79 | 0 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
PNDMScheduler,
StableDiffusionLDMaDPipeline,
UNetaDConditionModel,
)
from diffusers... | 361 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=a__ )
class __UpperCamelCase ( a__ ):
# `task` is not a ClassVar since we w... | 79 | 0 |
"""simple docstring"""
from math import factorial, pi
def _SCREAMING_SNAKE_CASE ( _lowercase : List[str] , _lowercase : Optional[Any] = 30 ) ->float:
'''simple docstring'''
if not isinstance(__lowerCAmelCase , (int, float) ):
ra... | 362 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 50 ) ->int:
'''simple docstring'''
a : Any = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for ... | 79 | 0 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from diffusers import (
AudioDiffusionPipeline,
AutoencoderKL,
DDIMScheduler,
DDPMScheduler,
DiffusionPipeline,
Mel,
UNetaDConditionModel,
UNetaDModel,
)
from diffusers... | 363 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
a : Optional[int] = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/m... | 79 | 0 |
"""simple docstring"""
import argparse
import torch
from transformers import BlenderbotConfig, BlenderbotForConditionalGeneration
from transformers.utils import logging
logging.set_verbosity_info()
a : Tuple = logging.get_logger(__name__)
a : int ... | 364 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->dict[str, float]:
'''simple docstring'''
... | 79 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
a : Optional[int] = {
'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
'tokenization_biogpt':... | 365 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : Dict = logging.get_logger(__name__)
a : List[Any] = {
'''s-JoL/Open-Llama-V1''': '''https://huggingface.co/s-JoL/Open-Llama-V1/blob/mai... | 79 | 0 |
"""simple docstring"""
import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__ , lowerCAmelCase__ , lowerCAmelCase__ ) -> int:
if dst_width < 0 or dst_height < 0:
... | 366 |
"""simple docstring"""
import sacrebleu as scb
from packaging import version
from sacrebleu import TER
import datasets
a : Tuple = '''\
@inproceedings{snover-etal-2006-study,
title = "A Study of Translation Edit Rate with Targeted Human Annotation",
author = "... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : Any = 1000 ) ->int:
'''simple docstring'''
a : int = 1, 1
a : Optional[Any] = 2
while True:
a : List[Any] = 0
a : Optional[Any] = fa + ... | 367 |
"""simple docstring"""
a : Optional[int] = 8.31_4462 # Unit - J mol-1 K-1
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if ... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : str = "The quick brown fox jumps over the lazy dog" , ) ->List[Any]:
'''simple docstring'''
a : Union[str, Any] = set()
# Replace all the whitespace in our sentence
a ... | 368 |
"""simple docstring"""
import unittest
from queue import Empty
from threading import Thread
from transformers import AutoTokenizer, TextIteratorStreamer, TextStreamer, is_torch_available
from transformers.testing_utils import CaptureStdout, require_torch, torch_device
from ..test_modeling_... | 79 | 0 |
"""simple docstring"""
from typing import Union
from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
from ..image_utils import load_image
if is_torc... | 369 |
"""simple docstring"""
import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import load_iris
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
def _SCREAMING_SNAKE_... | 79 | 0 |
"""simple docstring"""
import math
import time
from transformers import Trainer, is_torch_tpu_available
from transformers.trainer_utils import PredictionOutput, speed_metrics
if is_torch_tpu_available(check_device=False):
import torch_xla.core.xla_model as xm
import torch_xla.debug.metrics as met
cla... | 370 |
"""simple docstring"""
import math
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 100 ) ->int:
'''simple docstring'''
a : Dict = sum(i * i for i in range(1 , n + 1 ) )
a : Tuple = int(math.pow(sum(range(1 , n + 1... | 79 | 0 |
"""simple docstring"""
import string
# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
a : List[Any] = {
'''E''': 12.70,
'''T''': 9.06,
'''A''': 8.17,
'''O''': 7.51,
'''I''': 6.97,
'''N''': 6.75,
'''S''': 6.33,
'''... | 371 |
"""simple docstring"""
from itertools import product
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->list[int]:
'''simple docstring'''
a : Dict = sides_number
a : List[str] = max_face_num... | 79 | 0 |
"""simple docstring"""
a : Tuple = "\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.gi... | 350 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->bool:
'''simple docstring'''
return number & 1 == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 79 | 0 |
"""simple docstring"""
import importlib
import math
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Tuple, Union
import flax
import jax.numpy as jnp
from ..utils import BaseOutput
a : int = '''scheduler_... | 351 |
"""simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noq... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import MutableSequence
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__ , lowerCAmelCase__ ) -> None:
if len(lowerCAmelCase__ ) != degree + 1:
raise Val... | 352 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_f... | 79 | 0 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils i... | 353 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.util... | 79 | 0 |
"""simple docstring"""
import argparse
import os
import re
import torch
from flax.traverse_util import flatten_dict
from tax import checkpoints
from transformers import (
AutoTokenizer,
PixaStructConfig,
PixaStructForConditionalGeneration,
PixaStructImageProcessor,
... | 354 |
"""simple docstring"""
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
a : List[str] = logging.get_logger(__name__)
a ... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
a : Dict = (3, 9, -11, 0, 7, 5, 1, -1)
a : Optional[int] = (4, 6, 2, 0, 8, 10, 3, -2)
@dataclass
class __UpperCamelCase :... | 355 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : list[list[int]] ) ->int:
'''simple docstring'''
for i in range(1 , len(matrix[0] ) ):
matrix[0][i] += matrix[0][i - 1]
# preprocessi... | 79 | 0 |
"""simple docstring"""
import inspect
import unittest
from transformers import MobileNetVaConfig
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_con... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
a : Any = {'''configuration_fnet''': ['''FNET... | 79 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : Any = logging.get_logger(__name__)
a : Any = {'ctrl': 'https://huggingface.co/ctrl/resolve/main/config.json'}
class __UpperCamelCase ( lowerCamelCase__ )... | 357 |
"""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/lic... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] ) ->List[str]:
'''simple docstring'''
a : List[Any] = 2
a : Union[str, Any] = []
whil... | 358 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _SCREAMING_SNAKE_CASE ( ) ->Optional[Any]:
'''simple docstring'''
a : int = HfArgumentParser(_lowercase )
a : ... | 79 | 0 |
"""simple docstring"""
import argparse
import logging
import sys
from unittest.mock import patch
import run_glue_deebert
from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow
logging.basicConfig(level=logging.DEBUG)
a : str ... | 359 |
"""simple docstring"""
from datetime import datetime
import requests
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
a : Optional[Any] = "https://downloadgram.net/wp-json/wppress/video-downloader... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
import queue
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__ ) -> str:
a : Dict = data
a : Tuple = None
a : Any = No... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
a : List[str] = {
'''configuration_perceiver'''... | 79 | 0 |
"""simple docstring"""
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers import BartForCondi... | 361 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=a__ )
class __UpperCamelCase ( a__ ):
# `task` is not a ClassVar since we w... | 79 | 0 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class __UpperCamelCase :
def __init__( self ) -> List[Any]:
a : Optional[int] = ""
a : Union[str, Any] ... | 362 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 50 ) ->int:
'''simple docstring'''
a : Any = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for ... | 79 | 0 |
"""simple docstring"""
import math
import os
from copy import deepcopy
import datasets
import evaluate
import torch
import transformers
from datasets import load_dataset
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer
... | 363 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
a : Optional[int] = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/m... | 79 | 0 |
"""simple docstring"""
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class __UpperCamelCase ( a__ ):
@staticmethod
@abstractmethod
def __a ( lowerCAmelCase__ ) -> int:
raise NotImpleme... | 364 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->dict[str, float]:
'''simple docstring'''
... | 79 | 0 |
from dataclasses import dataclass
from typing import Optional
import numpy as np
import torch
import torch.nn as nn
from ..utils import BaseOutput, is_torch_version, randn_tensor
from .attention_processor import SpatialNorm
from .unet_ad_blocks import UNetMidBlockaD, get_down_block, get_up_block
... | 365 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : Dict = logging.get_logger(__name__)
a : List[Any] = {
'''s-JoL/Open-Llama-V1''': '''https://huggingface.co/s-JoL/Open-Llama-V1/blob/mai... | 79 | 0 |
"""simple docstring"""
import os
import pytest
from transformers.dynamic_module_utils import get_imports
a : List[Any] = '''
import os
'''
a : int = '''
def foo():
import os
return False
'''
a : List[str] = '''
def foo():
def bar... | 366 |
"""simple docstring"""
import sacrebleu as scb
from packaging import version
from sacrebleu import TER
import datasets
a : Tuple = '''\
@inproceedings{snover-etal-2006-study,
title = "A Study of Translation Edit Rate with Targeted Human Annotation",
author = "... | 79 | 0 |
"""simple docstring"""
import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple
import numpy as np
from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelin... | 367 |
"""simple docstring"""
a : Optional[int] = 8.31_4462 # Unit - J mol-1 K-1
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if ... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] ) ->bool:
'''simple docstring'''
a : List[Any] = str(lowerCAmelCase_ )
return len(lowerCAmelCase_ ) == 9 and set(l... | 368 |
"""simple docstring"""
import unittest
from queue import Empty
from threading import Thread
from transformers import AutoTokenizer, TextIteratorStreamer, TextStreamer, is_torch_available
from transformers.testing_utils import CaptureStdout, require_torch, torch_device
from ..test_modeling_... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : Union[str, Any] ) ->int:
'''simple docstring'''
if not numbers:
return 0
if not isinstance(__SCREAMING_SNAKE_CASE , (list, tuple) ) or not all(
isinstance(__SCREA... | 369 |
"""simple docstring"""
import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import load_iris
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
def _SCREAMING_SNAKE_... | 79 | 0 |
"""simple docstring"""
import gc
import unittest
from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
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... | 370 |
"""simple docstring"""
import math
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 100 ) ->int:
'''simple docstring'''
a : Dict = sum(i * i for i in range(1 , n + 1 ) )
a : Tuple = int(math.pow(sum(range(1 , n + 1... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
a : Any = list[list[int]]
# assigning initial values to the grid
a : Matrix = [
[3, 0, 6, 5, 0, 8, 4, 0, 0],
[5, 2, 0, 0, 0, 0, 0, 0, 0],
[0, 8, 7, 0, 0, 0, 0, 3, 1],
[0, 0... | 371 |
"""simple docstring"""
from itertools import product
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->list[int]:
'''simple docstring'''
a : Dict = sides_number
a : List[str] = max_face_num... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : float ) ->float:
'''simple docstring'''
if edge <= 0 or not isinstance(_lowercase , _lowercase ):
raise ValueError("Length must be a positive." )
return 3 * ((25 + 10 * (5 ** (1 / 2))) ** ... | 350 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->bool:
'''simple docstring'''
return number & 1 == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 79 | 0 |
"""simple docstring"""
from collections import OrderedDict
from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES
a : List[str] = logging.get_logger(__name__)... | 351 |
"""simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noq... | 79 | 0 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : list[int] , _lowercase : int ) ->list[list[int]]:
'''simple docstring'''
a : list[list[int]] = []
a : list[int] = []
a : Dict = 0... | 352 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_f... | 79 | 0 |
"""simple docstring"""
import argparse
import json
import os
from collections import OrderedDict
import torch
from transformers import LukeConfig, LukeForMaskedLM, MLukeTokenizer, XLMRobertaTokenizer
from transformers.tokenization_utils_base import AddedToken
@torch.no_grad()... | 353 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.util... | 79 | 0 |
"""simple docstring"""
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
a : List[Any] = '''\
@misc{wu2016googles,
title={Google\'s Neural Machine Translation System: Bridging the Gap between Hu... | 354 |
"""simple docstring"""
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
a : List[str] = logging.get_logger(__name__)
a ... | 79 | 0 |
"""simple docstring"""
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, ... | 355 |
"""simple docstring"""
from __future__ import annotations
def _SCREAMING_SNAKE_CASE ( _lowercase : list[list[int]] ) ->int:
'''simple docstring'''
for i in range(1 , len(matrix[0] ) ):
matrix[0][i] += matrix[0][i - 1]
# preprocessi... | 79 | 0 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
MobileViTConfig,
MobileViTForImageClassification,
MobileViTForSemanticSegme... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
a : Any = {'''configuration_fnet''': ['''FNET... | 79 | 0 |
import inspect
from typing import Optional, Union
import numpy as np
import PIL
import torch
from torch.nn import functional as F
from torchvision import transforms
from transformers import CLIPFeatureExtractor, CLIPModel, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
... | 357 |
"""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/lic... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : List[Any] , _lowercase : Dict=False ) ->Any:
'''simple docstring'''
if isinstance(_lowercase , _lowercase ) and isinstance(_lowercase , _low... | 358 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _SCREAMING_SNAKE_CASE ( ) ->Optional[Any]:
'''simple docstring'''
a : int = HfArgumentParser(_lowercase )
a : ... | 79 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->list[int]:
'''simple docstring'''
if length <= 0 or not isinstance(_lowercase , _lowercase ):
raise ValueError("Length must be a positive integer." )
return [n * (2 * n - 1) ... | 359 |
"""simple docstring"""
from datetime import datetime
import requests
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
a : Optional[Any] = "https://downloadgram.net/wp-json/wppress/video-downloader... | 79 | 0 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from tests.test_modeling_common import floats_tensor
from transformers import MaskaFormerConfig, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_torch_multi_gpu, r... | 360 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
a : List[str] = {
'''configuration_perceiver'''... | 79 | 0 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, CycleDiffusionPipeline, DDIMScheduler, UNetaDConditionModel
from diffusers.utils import floats_tensor, loa... | 361 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=a__ )
class __UpperCamelCase ( a__ ):
# `task` is not a ClassVar since we w... | 79 | 0 |
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