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 unittest
from datasets import load_dataset
from transformers.pipelines import pipeline
from transformers.testing_utils import is_pipeline_test, nested_simplify, require_torch, slow
@is_pipeline_test
@require_torch
class UpperCAmelCase ( unittest.TestCas... | 369 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase: Dict = {
"configuration_time_series_transformer": [
"TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"Ti... | 31 | 0 |
from typing import Any
class UpperCAmelCase :
def __init__( self : Dict, a_ : Any ):
"""simple docstring"""
UpperCamelCase__ = data
UpperCamelCase__ = None
class UpperCAmelCase :
def __init__( self : Union[str, Any] ):
... | 370 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : str , _UpperCamelCase : Optional[int] , _UpperCamelCase : str ) -> Dict: # noqa: E741
'''simple docstri... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import FunnelConfig, is_tf_available
from transformers.testing_utils import require_tf
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_at... | 371 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class UpperCAmelCase ( metaclass=SCREAMING_SNAKE_CASE__):
_lowerCamelCase : str = ['torch', 'scipy']
def __init__( self : List[str], *a_ : Optional[int], **a_ : int ):
"""simpl... | 31 | 0 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from torch import nn
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import... | 350 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase: str = logging.get_logger(__name__)
__lowercase: Optional[Any] = {
"abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/r... | 31 | 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 im... | 351 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float ) -> float:
'''simple docstring'''
if density <= 0:
raise ValueError("Impossible fluid density" )
if bulk_modulus <= 0:
rais... | 31 | 0 |
'''simple docstring'''
from collections import deque
class UpperCAmelCase :
def __init__( self : int, a_ : Dict, a_ : List[str], a_ : Optional[Any] ):
"""simple docstring"""
UpperCamelCase__ = process_name # process name
UpperCamelCase__ = a... | 352 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int | float | str , _UpperCamelCase : int | float | str ) -> list[str]:
'''simple docstring'''
if nth_term == "":
return [""]
... | 31 | 0 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
if TYPE_CHECKING:
from ... import FeatureExtractionMixin,... | 353 |
'''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 UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_... | 31 | 0 |
'''simple docstring'''
import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError
from transformers import (
... | 354 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import is_speech_available
from transformers.testing_utils import require_torch, require_torchaudio
from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
... | 31 | 0 |
'''simple docstring'''
import os
__lowercase: Optional[int] = {"I": 1, "V": 5, "X": 10, "L": 50, "C": 100, "D": 500, "M": 1_000}
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> str:
'''simple docstring'''
UpperCamelCase__... | 355 |
'''simple docstring'''
import logging
import numpy as np
import pytest
from scipy.linalg import eigh
logging.basicConfig(level=logging.INFO, format="%(message)s")
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : np.ndarray ) -> np.ndarray:
'''simple docstring'''
... | 31 | 0 |
'''simple docstring'''
import inspect
from typing import List, Optional, Tuple, Union
import numpy as np
import PIL
import torch
import torch.utils.checkpoint
from ...models import UNetaDModel, VQModel
from ...schedulers import (
DDIMScheduler,
DPMSolverMultistepScheduler,
EulerAncestralDiscreteSchedu... | 356 |
'''simple docstring'''
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import time
from math import sqrt
# 1 for manhattan, 0 for euclidean
__lowercase: List[Any] = 0
__lowercase: Any = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstac... | 357 |
'''simple docstring'''
import json
import os
import unittest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers
from ...test_tokenization_common impo... | 31 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import _LazyModule
__lowercase: List[str] = {'tokenization_wav2vec2_phoneme': ['Wav2Vec2PhonemeCTCTokenizer']}
if TYPE_CHECKING:
from .tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizer
else:... | 358 |
'''simple docstring'''
import logging
import os
import sys
import warnings
from dataclasses import dataclass, field
from random import randint
from typing import Optional
import datasets
import evaluate
import numpy as np
from datasets import DatasetDict, load_dataset
import transformers
from t... | 31 | 0 |
'''simple docstring'''
import unittest
from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script
@require_cpu
class UpperCAmelCase ( unittest.TestCase):
def lowercase_ ( self : int ):
"""simple docstring"""
... | 359 |
'''simple docstring'''
import math
import sys
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> str:
'''simple docstring'''
UpperCamelCase__ = ""
try:
with open(_UpperCamelCase , "rb" ) as binary_file:
UpperC... | 31 | 0 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_dpt import DPTImageProcessor
__lowercase: Tuple = logging.get_logger(__name__)
class UpperCAmelCase ( __lowercase):
def __init__( self : int, *a_ : Union[str, Any], **a... | 360 |
'''simple docstring'''
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
cl... | 31 | 0 |
'''simple docstring'''
__lowercase: List[str] = {
"A": ".-", "B": "-...", "C": "-.-.", "D": "-..", "E": ".", "F": "..-.", "G": "--.",
"H": "....", "I": "..", "J": ".---", "K": "-.-", "L": ".-..", "M": "--", "N": "-.",
"O": "---", "P": ".--.", "Q": "--.-", "R": ".-.", "S": "...", "T... | 361 |
'''simple docstring'''
import argparse
import json
import subprocess
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int , _UpperCamelCase : Tuple ) -> Union[str, Any]:
'''simple docstring'''
UpperCamelCase__ = []
UpperCamelCase__... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Union[str, Any] ) -> Any:
'''simple docstring'''
UpperCamelCase__ = 0.0_0
UpperCamelCase__ = 0
for resistor in resistors:
if r... | 362 |
'''simple docstring'''
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _co... | 31 | 0 |
'''simple docstring'''
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
... | 363 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list ) -> float:
'''simple docstring'''
UpperCamelCase__ = 0
while len(_UpperCamelCase ) > 1:
UpperCamelCase__ = 0
# Consider two files with minimum cost to be me... | 31 | 0 |
import logging
from transformers.configuration_utils import PretrainedConfig
__lowercase: int = logging.getLogger(__name__)
class UpperCAmelCase ( __snake_case):
_lowerCamelCase : str = "masked_bert"
def __init__( self : Union[str, Any], a_ : Any=3_05... | 364 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list[int | str] ) -> None:
'''simple docstring'''
create_state_space_tree(_UpperCamelCase , [] , 0 , [0 for i in rang... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import time
from collections.abc import Sequence
from random import randint
from matplotlib import pyplot as plt
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : Tuple , _UpperCamelCa... | 365 |
'''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
__lowercase: int = logging.get_logger(__name__)
__lo... | 31 | 0 |
'''simple docstring'''
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.layers import LSTM, Dense
from tensorflow.keras.models import Sequential
if __name__ == "__main__":
__lowercase: List[str] = pd.read_csv("sample_data.c... | 366 |
'''simple docstring'''
import os
from pickle import UnpicklingError
from typing import Dict, Tuple
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict, unflatten_dict
import transformers
from .utils import lo... | 31 | 0 |
'''simple docstring'''
import warnings
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.utils import comput... | 367 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("34", "35", "37", "4", "5", "6") )
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) ... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import math
from collections.abc import Callable
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : List[Any] , _UpperCamelCase : Optional[int] , _UpperCamelCase : List[Any] , _UpperCamelCase : Tuple ... | 368 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float , _UpperCamelCase : float , ) -> tuple:
'''simple docstring'''
if (electron_conc, ho... | 31 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available
__lowercase: Optional[Any] = {
"configuration_longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config", "LongT5OnnxC... | 369 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase: Dict = {
"configuration_time_series_transformer": [
"TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"Ti... | 31 | 0 |
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Union[str, Any] = 4 ) -> Optional[int]:
'''simple docstring'''
UpperCamelCase__ = abs(_UpperCamelCase ) or 4
return [[1 + x + y * row_size for x in range(_UpperCam... | 370 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : str , _UpperCamelCase : Optional[int] , _UpperCamelCase : str ) -> Dict: # noqa: E741
'''simple docstri... | 31 | 0 |
'''simple docstring'''
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
fro... | 371 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class UpperCAmelCase ( metaclass=SCREAMING_SNAKE_CASE__):
_lowerCamelCase : str = ['torch', 'scipy']
def __init__( self : List[str], *a_ : Optional[int], **a_ : int ):
"""simpl... | 31 | 0 |
'''simple docstring'''
import argparse
import json
from collections import OrderedDict
from functools import partial
from pathlib import Path
import timm
import torch
from huggingface_hub import hf_hub_download
from transformers import LevitConfig, LevitForImageClassificationWithTeacher, LevitImage... | 350 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase: str = logging.get_logger(__name__)
__lowercase: Optional[Any] = {
"abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/r... | 31 | 0 |
'''simple docstring'''
import unittest
import numpy as np
from datasets import load_dataset
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 ImageProcessingSavingTes... | 351 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float ) -> float:
'''simple docstring'''
if density <= 0:
raise ValueError("Impossible fluid density" )
if bulk_modulus <= 0:
rais... | 31 | 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_torch_... | 352 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int | float | str , _UpperCamelCase : int | float | str ) -> list[str]:
'''simple docstring'''
if nth_term == "":
return [""]
... | 31 | 0 |
'''simple docstring'''
import heapq as hq
import math
from collections.abc import Iterator
class UpperCAmelCase :
def __init__( self : int, a_ : Optional[Any] ):
"""simple docstring"""
UpperCamelCase__ = str(id_ )
UpperCamelCase__ = None
U... | 353 |
'''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 UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_... | 31 | 0 |
'''simple docstring'''
from math import factorial
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int , _UpperCamelCase : int , _UpperCamelCase : float ) -> float:
'''simple docstring'''
if successes > trials:
raise ValueError... | 354 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import is_speech_available
from transformers.testing_utils import require_torch, require_torchaudio
from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
... | 31 | 0 |
'''simple docstring'''
from typing import Callable, List, Optional, Tuple, Union
import torch
from transformers import CLIPTextModel, CLIPTokenizer
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin, TransformeraDModel, VQModel
from ...schedulers import... | 355 |
'''simple docstring'''
import logging
import numpy as np
import pytest
from scipy.linalg import eigh
logging.basicConfig(level=logging.INFO, format="%(message)s")
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : np.ndarray ) -> np.ndarray:
'''simple docstring'''
... | 31 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase: Optional[Any] = logging.get_logger(__name__)
__lowercase: Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https://huggingface.co/microsoft/tr... | 356 |
'''simple docstring'''
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_... | 31 | 0 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig
__lowercase: List[Any] = logging.get_logger(__name__)
__lowercase: str = {
'''Intel/dpt-large''': '''https://huggingface.... | 357 |
'''simple docstring'''
import json
import os
import unittest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers
from ...test_tokenization_common impo... | 31 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import BlenderbotConfig, BlenderbotForConditionalGeneration
from transformers.utils import logging
logging.set_verbosity_info()
__lowercase: Union[str, Any] = logging.get_logger(__name__)
__lowercase: str ... | 358 |
'''simple docstring'''
import logging
import os
import sys
import warnings
from dataclasses import dataclass, field
from random import randint
from typing import Optional
import datasets
import evaluate
import numpy as np
from datasets import DatasetDict, load_dataset
import transformers
from t... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import DebertaVaConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 359 |
'''simple docstring'''
import math
import sys
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> str:
'''simple docstring'''
UpperCamelCase__ = ""
try:
with open(_UpperCamelCase , "rb" ) as binary_file:
UpperC... | 31 | 0 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Optional[int] ) -> Union[str, Any]:
'''simple docstring'''
UpperCamelCase__ = []
UpperCamelCase__ = set({"(", "[", "{"} )
UpperCamelCase__ = set({")", "]", "}"} )
... | 360 |
'''simple docstring'''
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
cl... | 31 | 0 |
'''simple docstring'''
from collections.abc import Sequence
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str , _UpperCamelCase : Optional[Any] = False ) -> float:
'''simple docstring'''
if not arr:
return 0
UpperCamelCase__ ... | 361 |
'''simple docstring'''
import argparse
import json
import subprocess
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int , _UpperCamelCase : Tuple ) -> Union[str, Any]:
'''simple docstring'''
UpperCamelCase__ = []
UpperCamelCase__... | 31 | 0 |
'''simple docstring'''
import enum
import os
from hashlib import shaaaa
from typing import Optional
from .. import config
from .logging import get_logger
__lowercase = get_logger(__name__)
class UpperCAmelCase ( enum.Enum):
_lowerCamelCase : Optional[Any] = ... | 362 |
'''simple docstring'''
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _co... | 31 | 0 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int ) -> bool:
'''simple docstring'''
return sum(i for i in range(1 , number // 2 + 1 ) if number % i == 0 ) == number
if __name__ == "__main__":
print("Program... | 363 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list ) -> float:
'''simple docstring'''
UpperCamelCase__ = 0
while len(_UpperCamelCase ) > 1:
UpperCamelCase__ = 0
# Consider two files with minimum cost to be me... | 31 | 0 |
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__lowercase: int = namedtuple(
"_TestCommandArgs",
[
... | 364 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list[int | str] ) -> None:
'''simple docstring'''
create_state_space_tree(_UpperCamelCase , [] , 0 , [0 for i in rang... | 31 | 0 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int = 10_00 ) -> Union[str, Any]:
'''simple docstring'''
UpperCamelCase__ = -1
UpperCamelCase__ = 0
for a in range(1 , n // 3 ):
# Solving the two equation... | 365 |
'''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
__lowercase: int = logging.get_logger(__name__)
__lo... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import matplotlib.pyplot as plt # type: ignore
import numpy
# initial triangle of Koch snowflake
__lowercase: Any = numpy.array([0, 0])
__lowercase: Dict = numpy.array([0.5, 0.8_6_6_0_2_5_4])
__lowercase: int ... | 366 |
'''simple docstring'''
import os
from pickle import UnpicklingError
from typing import Dict, Tuple
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict, unflatten_dict
import transformers
from .utils import lo... | 31 | 0 |
'''simple docstring'''
import torch
from diffusers import StableDiffusionPipeline
__lowercase: Dict = "path-to-your-trained-model"
__lowercase: Tuple = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.floataa).to("cuda")
__lowercase: Union[str, Any] = ... | 367 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("34", "35", "37", "4", "5", "6") )
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) ... | 31 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import (
AudioDiffusionPipeline,
AutoencoderKL,
DDIMScheduler,
DDPMScheduler,
DiffusionPipeline,
Mel,
UNetaDConditionModel,
UNetaDModel,
)
from diffusers.utils impor... | 368 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float , _UpperCamelCase : float , ) -> tuple:
'''simple docstring'''
if (electron_conc, ho... | 31 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__lowercase: List[str] = {'configuration_mra': ['MRA_PRETRAINED_CONFIG_ARCHIVE_MAP', ... | 369 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase: Dict = {
"configuration_time_series_transformer": [
"TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"Ti... | 31 | 0 |
import gc
import inspect
import unittest
import torch
from parameterized import parameterized
from diffusers import PriorTransformer
from diffusers.utils import floats_tensor, slow, torch_all_close, torch_device
from diffusers.utils.testing_utils import enable_full_determinism
from .test_modeling_co... | 370 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : str , _UpperCamelCase : Optional[int] , _UpperCamelCase : str ) -> Dict: # noqa: E741
'''simple docstri... | 31 | 0 |
'''simple docstring'''
import argparse
from pathlib import Path
import torch
from transformers import OPTConfig, OPTModel
from transformers.utils import logging
logging.set_verbosity_info()
__lowercase: int = logging.get_logger(__name__)
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : ... | 371 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class UpperCAmelCase ( metaclass=SCREAMING_SNAKE_CASE__):
_lowerCamelCase : str = ['torch', 'scipy']
def __init__( self : List[str], *a_ : Optional[int], **a_ : int ):
"""simpl... | 31 | 0 |
'''simple docstring'''
import os
import unittest
from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
VOCAB_FILES_NAMES,
BasicTokenizer,
WordpieceTokenizer,
_is_control,
_is_punctuation,
_is_whitespace,... | 350 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase: str = logging.get_logger(__name__)
__lowercase: Optional[Any] = {
"abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/r... | 31 | 0 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__ ( _UpperCamelCase : Optional[Any] ) -> int:
'''simple docstring'''
stooge(lowerCAmelCase__ , 0 , len(lowerCAmelCase__ ) - 1 )
return arr
def SCREAMING_SNAKE_CASE__... | 351 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float ) -> float:
'''simple docstring'''
if density <= 0:
raise ValueError("Impossible fluid density" )
if bulk_modulus <= 0:
rais... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import math
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int , _UpperCamelCase : int , _UpperCamelCase : bool , _UpperCamelCase : list[int] , _UpperCamelCase : float ) -> st... | 352 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int | float | str , _UpperCamelCase : int | float | str ) -> list[str]:
'''simple docstring'''
if nth_term == "":
return [""]
... | 31 | 0 |
'''simple docstring'''
from collections import defaultdict
from pathlib import Path
import pandas as pd
from rouge_cli import calculate_rouge_path
from utils import calculate_rouge
__lowercase: List[Any] = [
"Prosecutor: \"No videos were used in the crash investigation\" German ... | 353 |
'''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 UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_... | 31 | 0 |
'''simple docstring'''
import pytest
from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
"split_dict" , [
SplitDict(),
SplitDict({"train": SplitInfo(name="train" , num_bytes=13_37 , num... | 354 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import is_speech_available
from transformers.testing_utils import require_torch, require_torchaudio
from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
... | 31 | 0 |
'''simple docstring'''
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class UpperCAmelCase ( unittest.TestCase):
def lowercase_ ( self : Optional[int] ):
"""simple docstring"""
UpperCamelCase__ = [
... | 355 |
'''simple docstring'''
import logging
import numpy as np
import pytest
from scipy.linalg import eigh
logging.basicConfig(level=logging.INFO, format="%(message)s")
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : np.ndarray ) -> np.ndarray:
'''simple docstring'''
... | 31 | 0 |
'''simple docstring'''
import inspect
import unittest
import warnings
from math import ceil, floor
from transformers import LevitConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.models.auto import get_values
from transformers.testing_utils import... | 356 |
'''simple docstring'''
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_... | 31 | 0 |
'''simple docstring'''
import torch
from transformers import AutoModel
class UpperCAmelCase ( torch.nn.Module):
def __init__( self : Any, a_ : str="sayef/fsner-bert-base-uncased" ):
"""simple docstring"""
super(__snake_case, self ).__init__()
... | 357 |
'''simple docstring'''
import json
import os
import unittest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers
from ...test_tokenization_common impo... | 31 | 0 |
'''simple docstring'''
import random
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : int , _UpperCamelCase : Optional[int] ) -> Dict:
'''simple docstring'''
UpperCamelCase__ = a[left_index]
UpperCa... | 358 |
'''simple docstring'''
import logging
import os
import sys
import warnings
from dataclasses import dataclass, field
from random import randint
from typing import Optional
import datasets
import evaluate
import numpy as np
from datasets import DatasetDict, load_dataset
import transformers
from t... | 31 | 0 |
'''simple docstring'''
import argparse
import json
import pickle
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import MaskFormerConfig, MaskFormerForInstanceSegmentation, MaskFormerImageProcessor, SwinConfig... | 359 |
'''simple docstring'''
import math
import sys
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> str:
'''simple docstring'''
UpperCamelCase__ = ""
try:
with open(_UpperCamelCase , "rb" ) as binary_file:
UpperC... | 31 | 0 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | 360 |
'''simple docstring'''
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
cl... | 31 | 0 |
'''simple docstring'''
from ...utils import is_torch_available, is_transformers_available
if is_transformers_available() and is_torch_available():
from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline | 361 |
'''simple docstring'''
import argparse
import json
import subprocess
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int , _UpperCamelCase : Tuple ) -> Union[str, Any]:
'''simple docstring'''
UpperCamelCase__ = []
UpperCamelCase__... | 31 | 0 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : Optional[int] ) -> float:
'''simple docstring'''
if density <= 0:
raise ValueError("Impossible fluid density" )
if bulk_modulus <= 0:
... | 362 |
'''simple docstring'''
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _co... | 31 | 0 |
'''simple docstring'''
import inspect
import unittest
import numpy as np
from tests.test_modeling_common import floats_tensor
from transformers import DetrConfig, MaskFormerConfig, SwinConfig, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_torch_m... | 363 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list ) -> float:
'''simple docstring'''
UpperCamelCase__ = 0
while len(_UpperCamelCase ) > 1:
UpperCamelCase__ = 0
# Consider two files with minimum cost to be me... | 31 | 0 |
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, SwinConfig
from transformers.utils import lo... | 364 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list[int | str] ) -> None:
'''simple docstring'''
create_state_space_tree(_UpperCamelCase , [] , 0 , [0 for i in rang... | 31 | 0 |
'''simple docstring'''
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inp... | 365 |
'''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
__lowercase: int = logging.get_logger(__name__)
__lo... | 31 | 0 |
'''simple docstring'''
import unittest
from transformers import CamembertTokenizer, CamembertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import is_torch_available
from ...test_tokenization_common import Toke... | 366 |
'''simple docstring'''
import os
from pickle import UnpicklingError
from typing import Dict, Tuple
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict, unflatten_dict
import transformers
from .utils import lo... | 31 | 0 |
'''simple docstring'''
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : List[Any] ... | 367 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("34", "35", "37", "4", "5", "6") )
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) ... | 31 | 0 |
'''simple docstring'''
from multiprocessing import Lock, Pipe, Process
# lock used to ensure that two processes do not access a pipe at the same time
__lowercase: Union[str, Any] = Lock()
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Any , _UpperCamelCase : List[... | 368 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float , _UpperCamelCase : float , ) -> tuple:
'''simple docstring'''
if (electron_conc, ho... | 31 | 0 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase :
def __init__( self : Tuple ):
"""simple docstring"""
UpperCamelCase__ = []
def lowercase_ ( self : Any, a_ : Optional[int] ):
"""simp... | 369 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase: Dict = {
"configuration_time_series_transformer": [
"TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"Ti... | 31 | 0 |
from timeit import timeit
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int ) -> Union[str, Any]:
'''simple docstring'''
if number < 0:
raise ValueError("the value of input must not be negative" )
UpperCamelCase__ = 0
while number:
... | 370 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : str , _UpperCamelCase : Optional[int] , _UpperCamelCase : str ) -> Dict: # noqa: E741
'''simple docstri... | 31 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase: List[Any] = logging.get_logger(__name__)
__lowercase: Optional[Any] = {
"abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve... | 371 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class UpperCAmelCase ( metaclass=SCREAMING_SNAKE_CASE__):
_lowerCamelCase : str = ['torch', 'scipy']
def __init__( self : List[str], *a_ : Optional[int], **a_ : int ):
"""simpl... | 31 | 0 |
'''simple docstring'''
from unittest.mock import patch
import pyspark
from datasets.packaged_modules.spark.spark import (
Spark,
SparkExamplesIterable,
_generate_iterable_examples,
)
from ..utils import (
require_dill_gt_0_3_2,
require_not_windows,
)
def SCREAMING... | 350 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase: str = logging.get_logger(__name__)
__lowercase: Optional[Any] = {
"abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/r... | 31 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__lowercase: str = {
"configuration_falcon": ["FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP", "FalconConfig"],
}
try:
... | 351 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float ) -> float:
'''simple docstring'''
if density <= 0:
raise ValueError("Impossible fluid density" )
if bulk_modulus <= 0:
rais... | 31 | 0 |
'''simple docstring'''
import numpy as np
import pandas as pd
from sklearn.preprocessing import Normalizer
from sklearn.svm import SVR
from statsmodels.tsa.statespace.sarimax import SARIMAX
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list , _UpperCamelCase : list , ... | 352 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int | float | str , _UpperCamelCase : int | float | str ) -> list[str]:
'''simple docstring'''
if nth_term == "":
return [""]
... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : str , _UpperCamelCase : Optional[int] , _UpperCamelCase : str ) -> Dict: # noqa: E741
while r - l >... | 353 |
'''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 UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_... | 31 | 0 |
'''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_CASE__( _UpperCame... | 354 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import is_speech_available
from transformers.testing_utils import require_torch, require_torchaudio
from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
... | 31 | 0 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str , _UpperCamelCase : str ) -> float:
'''simple docstring'''
def get_matched_characters(_UpperCamelCase : str , _UpperCamelCase : str ) -> str:
UpperCa... | 355 |
'''simple docstring'''
import logging
import numpy as np
import pytest
from scipy.linalg import eigh
logging.basicConfig(level=logging.INFO, format="%(message)s")
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : np.ndarray ) -> np.ndarray:
'''simple docstring'''
... | 31 | 0 |
'''simple docstring'''
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_lowerCamelCase : int = ''
_lowerCamelCase : str = (
... | 356 |
'''simple docstring'''
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_... | 31 | 0 |
'''simple docstring'''
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
cl... | 357 |
'''simple docstring'''
import json
import os
import unittest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers
from ...test_tokenization_common impo... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
__lowercase: str = "#"
class UpperCAmelCase :
def __init__( self : Tuple ):
"""simple docstring"""
UpperCamelCase__ = {}
def lowercase_ ( self : Tuple, a_ : str ):
... | 358 |
'''simple docstring'''
import logging
import os
import sys
import warnings
from dataclasses import dataclass, field
from random import randint
from typing import Optional
import datasets
import evaluate
import numpy as np
from datasets import DatasetDict, load_dataset
import transformers
from t... | 31 | 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_available
fr... | 359 |
'''simple docstring'''
import math
import sys
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> str:
'''simple docstring'''
UpperCamelCase__ = ""
try:
with open(_UpperCamelCase , "rb" ) as binary_file:
UpperC... | 31 | 0 |
'''simple docstring'''
import os
import unittest
from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import Tokenize... | 360 |
'''simple docstring'''
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
cl... | 31 | 0 |
'''simple docstring'''
from io import BytesIO
from typing import List, Union
import requests
from ..utils import add_end_docstrings, is_decord_available, is_torch_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_decord_available():
import numpy as ... | 361 |
'''simple docstring'''
import argparse
import json
import subprocess
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int , _UpperCamelCase : Tuple ) -> Union[str, Any]:
'''simple docstring'''
UpperCamelCase__ = []
UpperCamelCase__... | 31 | 0 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__lowercase = logging.get_logger(__name__)
__lowercase = {
"camembert-base":... | 362 |
'''simple docstring'''
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _co... | 31 | 0 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, ... | 363 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list ) -> float:
'''simple docstring'''
UpperCamelCase__ = 0
while len(_UpperCamelCase ) > 1:
UpperCamelCase__ = 0
# Consider two files with minimum cost to be me... | 31 | 0 |
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowercase: List[str] = {
"configuration_vivit": ["VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VivitConfig"],
}
... | 364 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list[int | str] ) -> None:
'''simple docstring'''
create_state_space_tree(_UpperCamelCase , [] , 0 , [0 for i in rang... | 31 | 0 |
'''simple docstring'''
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging
__lowercase: Any = logging.get_logger(__name__)
__lowercase: Union[str, Any] = {
... | 365 |
'''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
__lowercase: int = logging.get_logger(__name__)
__lo... | 31 | 0 |
'''simple docstring'''
from math import isqrt
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int ) -> list[int]:
'''simple docstring'''
UpperCamelCase__ = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
... | 366 |
'''simple docstring'''
import os
from pickle import UnpicklingError
from typing import Dict, Tuple
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict, unflatten_dict
import transformers
from .utils import lo... | 31 | 0 |
'''simple docstring'''
from math import pi, sqrt, tan
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float ) -> float:
'''simple docstring'''
if side_length < 0:
raise ValueError("surface_area_cube() only accepts non-negative values" )
return 6 * side_length**2
... | 367 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("34", "35", "37", "4", "5", "6") )
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str ) ... | 31 | 0 |
'''simple docstring'''
import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_lowerCamelCase : str = 'M-CLIP'
def __init__( self : int, a_ : Dict=1024, a_ : Union[str, Any]=768, **a... | 368 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float , _UpperCamelCase : float , ) -> tuple:
'''simple docstring'''
if (electron_conc, ho... | 31 | 0 |
'''simple docstring'''
import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock
import torch
from ..st... | 369 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowercase: Dict = {
"configuration_time_series_transformer": [
"TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"Ti... | 31 | 0 |
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
@require_sent... | 370 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : Dict , _UpperCamelCase : str , _UpperCamelCase : Optional[int] , _UpperCamelCase : str ) -> Dict: # noqa: E741
'''simple docstri... | 31 | 0 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : list , _UpperCamelCase : int = 0 ) -> list:
'''simple docstring'''
UpperCamelCase__ = length or len(_UpperCamelCase )
UpperCamelCase__ = False
for i in range(length - 1 ):
... | 371 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class UpperCAmelCase ( metaclass=SCREAMING_SNAKE_CASE__):
_lowerCamelCase : str = ['torch', 'scipy']
def __init__( self : List[str], *a_ : Optional[int], **a_ : int ):
"""simpl... | 31 | 0 |
'''simple docstring'''
import torch
from diffusers import UnCLIPScheduler
from .test_schedulers import SchedulerCommonTest
class UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_lowerCamelCase : List[str] = (UnCLIPScheduler,)
def lowercase_ ( self : str, **a_ : O... | 350 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowercase: str = logging.get_logger(__name__)
__lowercase: Optional[Any] = {
"abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/r... | 31 | 0 |
'''simple docstring'''
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_... | 351 |
'''simple docstring'''
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : float , _UpperCamelCase : float ) -> float:
'''simple docstring'''
if density <= 0:
raise ValueError("Impossible fluid density" )
if bulk_modulus <= 0:
rais... | 31 | 0 |
'''simple docstring'''
from __future__ import annotations
import typing
from collections import Counter
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int ) -> typing.Counter[int]:
'''simple docstring'''
UpperCamelCase__ = Counter()
for base... | 352 |
'''simple docstring'''
from __future__ import annotations
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int | float | str , _UpperCamelCase : int | float | str ) -> list[str]:
'''simple docstring'''
if nth_term == "":
return [""]
... | 31 | 0 |
'''simple docstring'''
import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image
from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import ... | 353 |
'''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 UpperCAmelCase ( SCREAMING_SNAKE_CASE__):
_... | 31 | 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 LfsCommands
from .p... | 354 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import is_speech_available
from transformers.testing_utils import require_torch, require_torchaudio
from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
... | 31 | 0 |
'''simple docstring'''
import argparse
import json
import subprocess
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : int , _UpperCamelCase : Tuple ) -> Union[str, Any]:
'''simple docstring'''
UpperCamelCase__ = []
UpperCamel... | 355 |
'''simple docstring'''
import logging
import numpy as np
import pytest
from scipy.linalg import eigh
logging.basicConfig(level=logging.INFO, format="%(message)s")
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : np.ndarray ) -> np.ndarray:
'''simple docstring'''
... | 31 | 0 |
'''simple docstring'''
from typing import Optional
from urllib.parse import quote
import huggingface_hub as hfh
from packaging import version
def SCREAMING_SNAKE_CASE__( _UpperCamelCase : str , _UpperCamelCase : str , _UpperCamelCase : Optional[str] = None ) -> str:
... | 356 |
'''simple docstring'''
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_... | 31 | 0 |
'''simple docstring'''
import argparse
from copy import deepcopy
import numpy as np
from datasets import ClassLabel, DatasetDict, load_dataset
from evaluate import load
from transformers import (
AutoModelForSequenceClassification,
AutoTokenizer,
DataCollatorWithPadding,
Trainer,
... | 357 |
'''simple docstring'''
import json
import os
import unittest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers
from ...test_tokenization_common impo... | 31 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
__lowercase: Optional[Any] = {
"configuration_data2vec_audio": ["DATA2VEC_AUDIO_PRETRAINED_CONFIG_ARCHIVE_MAP", "Data2VecAudio... | 358 |
'''simple docstring'''
import logging
import os
import sys
import warnings
from dataclasses import dataclass, field
from random import randint
from typing import Optional
import datasets
import evaluate
import numpy as np
from datasets import DatasetDict, load_dataset
import transformers
from t... | 31 | 0 |
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