code stringlengths 86 54.5k | code_codestyle int64 0 371 | style_context stringlengths 87 49.2k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging
if TYPE_CHECKING:
from ...onnx.config import PatchingS... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(lowercase, x % y )
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstrin... | 287 | 1 |
'''simple docstring'''
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging
lowercase__ : ... | 287 |
'''simple docstring'''
import argparse
import os
# New Code #
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed... | 287 | 1 |
'''simple docstring'''
import sys
from typing import Tuple
import numpy as np
import torch
from PIL import Image
from torch import nn
from transformers.image_utils import PILImageResampling
from utils import img_tensorize
class __lowerCAmelCase :
"""simple docstring"""
def __in... | 287 |
'''simple docstring'''
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_cas... | 287 | 1 |
'''simple docstring'''
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional
import yaml
from transformers import HfArgume... | 287 |
'''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 ... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
if is_tf_available():
import numpy as np
import tensorflow as tf
from transformers im... | 287 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor
lowercase__ : Optional[Any] = logging.get_logger(__name__)
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstring"""
def __ini... | 287 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ....utils import _LazyModule
lowercase__ : Union[str, Any] = {'tokenization_tapex': ['TapexTokenizer']}
if TYPE_CHECKING:
from .tokenization_tapex import TapexTokenizer
else:
import sys
lowercase__ : Any = _La... | 287 |
'''simple docstring'''
from math import isclose, sqrt
def a__ ( lowercase : float, lowercase : float, lowercase : float ) -> tuple[float, float, float]:
"""simple docstring"""
_UpperCamelCase = point_y / 4 / point_x
_UpperCamelCase = 2 * normal_grad... | 287 | 1 |
'''simple docstring'''
import warnings
from .generation import TFGenerationMixin
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstring"""
# warning at import time
warnings.warn(
'Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.p... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : Tuple = {
'microsoft/trocr-base-handwritten': (
'https://huggingface.co/microsoft/trocr-base-handwr... | 287 | 1 |
'''simple docstring'''
import argparse
from collections import OrderedDict
from pathlib import Path
import torch
from transformers import (
VisualBertConfig,
VisualBertForMultipleChoice,
VisualBertForPreTraining,
VisualBertForQuestionAnswering,
VisualBertForVisualReasoning,
)
from transform... | 287 |
'''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 TokenizerTes... | 287 | 1 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class __lowerCAmelCase ( unitt... | 287 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[int], lowercase : list[int], lowercase : int ) -> tuple[float, list[float]]:
"""simple docstring"""
_UpperCamelCase = list(range(len(lowercase ) ) )
_UpperCamelC... | 287 | 1 |
'''simple docstring'''
from copy import deepcopy
import torch
import torch.nn.functional as F
from torch.optim import AdamW
from torch.optim.lr_scheduler import LambdaLR
from torch.utils.data import DataLoader
from accelerate.accelerator import Accelerator
from accelerate.state import GradientState
from accele... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Optional[Any] = logging.get_logger(__name__)
lowercase__ : List[Any] = {
'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
... | 287 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available
lowercase__ : int = {}
try:
if not is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvaila... | 287 |
'''simple docstring'''
import importlib.metadata
from typing import Union
from packaging.version import Version, parse
from .constants import STR_OPERATION_TO_FUNC
lowercase__ : List[Any] = parse(importlib.metadata.version('torch'))
def a__ ( lowercase : Union[str, Version], lo... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
lowercase__ : Dict = list[list[float | int]]
def a__ ( lowercase : Matrix, lowercase : Matrix ) -> Matrix:
"""simple docstring"""
_UpperCamelCase = len(lo... | 287 |
'''simple docstring'''
import re
import time
from typing import Optional
import IPython.display as disp
from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length
def a__ ( lowercase : Tuple ) -> Dict:
"""simple docstring"""
_U... | 287 | 1 |
'''simple docstring'''
import unittest
from diffusers.models.unet_ad_blocks import * # noqa F403
from diffusers.utils import torch_device
from .test_unet_blocks_common import UNetBlockTesterMixin
class __lowerCAmelCase ( __magic_name__ , unittest.TestCase ):
"""simple docstr... | 287 |
'''simple docstring'''
from cva import destroyAllWindows, imread, imshow, waitKey
def a__ ( lowercase : str ) -> Optional[int]:
"""simple docstring"""
_UpperCamelCase , _UpperCamelCase = img.shape[0], img.shape[1]
# converting each pixel's color to its nega... | 287 | 1 |
'''simple docstring'''
import os
def a__ ( ) -> List[Any]:
"""simple docstring"""
with open(os.path.dirname(lowercase ) + '''/p022_names.txt''' ) as file:
_UpperCamelCase = str(file.readlines()[0] )
_UpperCamelCase = names.replace('''"''', ... | 287 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import RobertaConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available()... | 287 | 1 |
'''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,
AutoModelForMultipleChoice,... | 287 |
'''simple docstring'''
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_case__ ( self : Tuple ) -> int:
'''simple d... | 287 | 1 |
'''simple docstring'''
import argparse
import torch
from transformers import FunnelBaseModel, FunnelConfig, FunnelModel, load_tf_weights_in_funnel
from transformers.utils import logging
logging.set_verbosity_info()
def a__ ( lowercase : Union[str, Any], lowercase : Any, lowercase : ... | 287 |
'''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,
AutoModelForMultipleChoice,... | 287 | 1 |
'''simple docstring'''
import warnings
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__ : Any = logging.get_logger(__name__)
lo... | 287 |
'''simple docstring'''
import math
def a__ ( lowercase : float, lowercase : float ) -> float:
"""simple docstring"""
if initial_intensity < 0:
raise ValueError('''The value of intensity cannot be negative''' )
# handling of negative values of init... | 287 | 1 |
'''simple docstring'''
import argparse
import hashlib
import os
import urllib
import warnings
import torch
from torch import nn
from tqdm import tqdm
from transformers import WhisperConfig, WhisperForConditionalGeneration
lowercase__ : str = {
'tiny.en': 'https://openaipublic.azureedge.net/m... | 287 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase__ : Optional[Any] = {
'configuration_autoformer': [
'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
... | 287 | 1 |
'''simple docstring'''
import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union
import transformers
from transformers.testing_utils import require_tf, require_torch, slow
lowercase__ : Dict = logging.getLogger()
@unittest.skip('Temporarily di... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int, lowercase : list[list[int]] ) -> int:
"""simple docstring"""
def update_area_of_max_square(lowercase : int, lowercase : int ) -> int:
# BASE CASE
if row >= rows or col >= cols... | 287 | 1 |
'''simple docstring'''
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 287 |
'''simple docstring'''
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional
import yaml
from transformers import HfArgume... | 287 | 1 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcessor
from transformers.utils... | 287 |
'''simple docstring'''
def a__ ( lowercase : int ) -> int:
"""simple docstring"""
if not isinstance(lowercase, lowercase ):
raise TypeError('''Input value must be an \'int\' type''' )
_UpperCamelCase = 0
while number:
position += 1
... | 287 | 1 |
'''simple docstring'''
lowercase__ : List[str] = [
'DownloadConfig',
'DownloadManager',
'DownloadMode',
'StreamingDownloadManager',
]
from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import Strea... | 287 |
'''simple docstring'''
import random
class __lowerCAmelCase :
"""simple docstring"""
@staticmethod
def snake_case__ ( lowerCAmelCase__ : str ) -> tuple[list[int], list[int]]:
'''simple docstring'''
_UpperCamelCase ... | 287 | 1 |
'''simple docstring'''
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(lowercase, x % y )
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstrin... | 287 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : Tuple = {
'microsoft/trocr-base-handwritten': (
'https://huggingface.co/microsoft/trocr-base-handwr... | 287 |
'''simple docstring'''
import argparse
import os
# New Code #
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...... | 287 |
'''simple docstring'''
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_cas... | 287 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase__ : Dict = {
'configuration_longformer': [
'LONGFORMER_PRETRAINED_C... | 287 |
'''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 ... | 287 | 1 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : List[str] = {
... | 287 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor
lowercase__ : Optional[Any] = logging.get_logger(__name__)
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstring"""
def __ini... | 287 | 1 |
'''simple docstring'''
import json
import os
import tempfile
import unittest
import numpy as np
from datasets import load_dataset
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_comm... | 287 |
'''simple docstring'''
from math import isclose, sqrt
def a__ ( lowercase : float, lowercase : float, lowercase : float ) -> tuple[float, float, float]:
"""simple docstring"""
_UpperCamelCase = point_y / 4 / point_x
_UpperCamelCase = 2 * normal_grad... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTes... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : Tuple = {
'microsoft/trocr-base-handwritten': (
'https://huggingface.co/microsoft/trocr-base-handwr... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[int | float], lowercase : int, lowercase : int ) -> int | float:
"""simple docstring"""
if len(lowercase ) == 0:
raise ValueError('''find_max() arg is an empty sequence... | 287 |
'''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 TokenizerTes... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import math
import random
from collections.abc import Collection
from typing import overload
class __lowerCAmelCase :
"""simple docstring"""
def __init__( self : List[str] , lowerCAmelCase__ : Collec... | 287 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[int], lowercase : list[int], lowercase : int ) -> tuple[float, list[float]]:
"""simple docstring"""
_UpperCamelCase = list(range(len(lowercase ) ) )
_UpperCamelC... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[int], lowercase : list[int], lowercase : int ) -> tuple[float, list[float]]:
"""simple docstring"""
_UpperCamelCase = list(range(len(lowercase ) ) )
_UpperCamelC... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Optional[Any] = logging.get_logger(__name__)
lowercase__ : List[Any] = {
'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
... | 287 | 1 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from tokenizers import processors
from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, log... | 287 |
'''simple docstring'''
import importlib.metadata
from typing import Union
from packaging.version import Version, parse
from .constants import STR_OPERATION_TO_FUNC
lowercase__ : List[Any] = parse(importlib.metadata.version('torch'))
def a__ ( lowercase : Union[str, Version], lo... | 287 | 1 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Optional[Any] = logging.get_logger(__name__)
lowercase__ : Any = {
'BridgeTower/bridgetower-base': 'https://huggin... | 287 |
'''simple docstring'''
import re
import time
from typing import Optional
import IPython.display as disp
from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length
def a__ ( lowercase : Tuple ) -> Dict:
"""simple docstring"""
_U... | 287 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : str = {
# See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}
class __lowerCAme... | 287 |
'''simple docstring'''
from cva import destroyAllWindows, imread, imshow, waitKey
def a__ ( lowercase : str ) -> Optional[int]:
"""simple docstring"""
_UpperCamelCase , _UpperCamelCase = img.shape[0], img.shape[1]
# converting each pixel's color to its nega... | 287 | 1 |
'''simple docstring'''
lowercase__ : dict[str, float] = {
"joule": 1.0,
"kilojoule": 10_00,
"megajoule": 1_00_00_00,
"gigajoule": 10_00_00_00_00,
"wattsecond": 1.0,
"watthour": 36_00,
"kilowatthour": 3_60_00_00,
"newtonmeter": 1.0,
"calorie_nutr": 41_86.8,
"ki... | 287 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import RobertaConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available()... | 287 | 1 |
'''simple docstring'''
import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union
from .. import config
from .filelock import FileLock
fro... | 287 |
'''simple docstring'''
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_case__ ( self : Tuple ) -> int:
'''simple d... | 287 | 1 |
'''simple docstring'''
import os
import pytest
from attr import dataclass
lowercase__ : Optional[Any] = 'us-east-1' # defaults region
@dataclass
class __lowerCAmelCase :
"""simple docstring"""
_snake_case : str
_snake_case : Any = 'ar... | 287 |
'''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,
AutoModelForMultipleChoice,... | 287 | 1 |
'''simple docstring'''
import os
import shutil
import sys
import tempfile
import unittest
from pathlib import Path
import pytest
import transformers
from transformers import (
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
AutoTokenizer,
BertConfig,
BertTokenizer,
... | 287 |
'''simple docstring'''
import math
def a__ ( lowercase : float, lowercase : float ) -> float:
"""simple docstring"""
if initial_intensity < 0:
raise ValueError('''The value of intensity cannot be negative''' )
# handling of negative values of init... | 287 | 1 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int ) -> str:
"""simple docstring"""
if a < 0 or b < 0:
raise ValueError('''the value of both inputs must be positive''' )
_UpperCamelCase = str(bin(lowercase ) )[2:] # remove the lea... | 287 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase__ : Optional[Any] = {
'configuration_autoformer': [
'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
... | 287 | 1 |
'''simple docstring'''
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int, lowercase : list[list[int]] ) -> int:
"""simple docstring"""
def update_area_of_max_square(lowercase : int, lowercase : int ) -> int:
# BASE CASE
if row >= rows or col >= cols... | 287 | 1 |
'''simple docstring'''
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_cas... | 287 |
'''simple docstring'''
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional
import yaml
from transformers import HfArgume... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configurat... | 287 |
'''simple docstring'''
def a__ ( lowercase : int ) -> int:
"""simple docstring"""
if not isinstance(lowercase, lowercase ):
raise TypeError('''Input value must be an \'int\' type''' )
_UpperCamelCase = 0
while number:
position += 1
... | 287 | 1 |
'''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 VQDiffus... | 287 |
'''simple docstring'''
import random
class __lowerCAmelCase :
"""simple docstring"""
@staticmethod
def snake_case__ ( lowerCAmelCase__ : str ) -> tuple[list[int], list[int]]:
'''simple docstring'''
_UpperCamelCase ... | 287 | 1 |
'''simple docstring'''
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowercas... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(lowercase, x % y )
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstrin... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import RoFormerConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor... | 287 |
'''simple docstring'''
import argparse
import os
# New Code #
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed... | 287 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
lowercase__ : Union[str, Any] = {
'co... | 287 |
'''simple docstring'''
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_cas... | 287 | 1 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def a__ ( lowercase : int = 1500000 ) -> int:
"""simple docstring"""
_UpperCamelCase = defaultdict(lowercase )
_UpperCamelCase = 2
while 2 * euclid_m * (euclid_m + 1) <=... | 287 |
'''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 ... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
from math import gcd
def a__ ( lowercase : int, lowercase : int = 2, lowercase : int = 1, lowercase : int = 3, ) -> int | None:
"""simple docstring"""
if num < 2:
raise ValueError('''The input val... | 287 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor
lowercase__ : Optional[Any] = logging.get_logger(__name__)
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstring"""
def __ini... | 287 | 1 |
'''simple docstring'''
lowercase__ : List[str] = 8.314_4598
def a__ ( lowercase : float, lowercase : float ) -> float:
"""simple docstring"""
if temperature < 0:
raise Exception('''Temperature cannot be less than 0 K''' )
if molar_mass <= ... | 287 |
'''simple docstring'''
from math import isclose, sqrt
def a__ ( lowercase : float, lowercase : float, lowercase : float ) -> tuple[float, float, float]:
"""simple docstring"""
_UpperCamelCase = point_y / 4 / point_x
_UpperCamelCase = 2 * normal_grad... | 287 | 1 |
'''simple docstring'''
from sklearn.metrics import fa_score
import datasets
lowercase__ : Dict = '\nThe F1 score is the harmonic mean of the precision and recall. It can be computed with the equation:\nF1 = 2 * (precision * recall) / (precision + recall)\n'
lowercase__ : Optional[Any]... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : Tuple = {
'microsoft/trocr-base-handwritten': (
'https://huggingface.co/microsoft/trocr-base-handwr... | 287 | 1 |
'''simple docstring'''
from cva import destroyAllWindows, imread, imshow, waitKey
def a__ ( lowercase : str ) -> Optional[int]:
"""simple docstring"""
_UpperCamelCase , _UpperCamelCase = img.shape[0], img.shape[1]
# converting each pixel's color to its nega... | 287 |
'''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 TokenizerTes... | 287 | 1 |
'''simple docstring'''
class __lowerCAmelCase :
"""simple docstring"""
def __init__( self : int ) -> Tuple:
'''simple docstring'''
_UpperCamelCase = ''''''
_UpperCamelCase = ''''''
_UpperCamel... | 287 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[int], lowercase : list[int], lowercase : int ) -> tuple[float, list[float]]:
"""simple docstring"""
_UpperCamelCase = list(range(len(lowercase ) ) )
_UpperCamelC... | 287 | 1 |
'''simple docstring'''
import importlib.metadata
from typing import Union
from packaging.version import Version, parse
from .constants import STR_OPERATION_TO_FUNC
lowercase__ : List[Any] = parse(importlib.metadata.version('torch'))
def a__ ( lowercase : Union[str, Version], lo... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Optional[Any] = logging.get_logger(__name__)
lowercase__ : List[Any] = {
'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
... | 287 | 1 |
'''simple docstring'''
# Author: OMKAR PATHAK, Nwachukwu Chidiebere
# Use a Python dictionary to construct the graph.
from __future__ import annotations
from pprint import pformat
from typing import Generic, TypeVar
lowercase__ : Optional[Any] = TypeVar('T')
class __lowerCAmelCase ( Gen... | 287 |
'''simple docstring'''
import importlib.metadata
from typing import Union
from packaging.version import Version, parse
from .constants import STR_OPERATION_TO_FUNC
lowercase__ : List[Any] = parse(importlib.metadata.version('torch'))
def a__ ( lowercase : Union[str, Version], lo... | 287 | 1 |
'''simple docstring'''
from copy import deepcopy
from typing import Optional, Union
import numpy as np
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_tf_available, is_torch_available
if is_torch_available():
import to... | 287 |
'''simple docstring'''
import re
import time
from typing import Optional
import IPython.display as disp
from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length
def a__ ( lowercase : Tuple ) -> Dict:
"""simple docstring"""
_U... | 287 | 1 |
'''simple docstring'''
lowercase__ : Optional[Any] = {
'A': ['B', 'C', 'E'],
'B': ['A', 'D', 'E'],
'C': ['A', 'F', 'G'],
'D': ['B'],
'E': ['A', 'B', 'D'],
'F': ['C'],
'G': ['C'],
}
def a__ ( lowercase : dict, lowercase : Union[str, Any], lowercase : ... | 287 |
'''simple docstring'''
from cva import destroyAllWindows, imread, imshow, waitKey
def a__ ( lowercase : str ) -> Optional[int]:
"""simple docstring"""
_UpperCamelCase , _UpperCamelCase = img.shape[0], img.shape[1]
# converting each pixel's color to its nega... | 287 | 1 |
'''simple docstring'''
def a__ ( lowercase : int = 10, lowercase : int = 1000, lowercase : bool = True ) -> int:
"""simple docstring"""
assert (
isinstance(lowercase, lowercase )
and isinstance(lowercase, lowercase )
and isinstance(lowercas... | 287 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import RobertaConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available()... | 287 | 1 |
'''simple docstring'''
def a__ ( lowercase : list, lowercase : int = 0 ) -> list:
"""simple docstring"""
_UpperCamelCase = length or len(lowercase )
_UpperCamelCase = False
for i in range(length - 1 ):
if list_data[i] > list_data[i + 1]:
... | 287 |
'''simple docstring'''
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_case__ ( self : Tuple ) -> int:
'''simple d... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[float], lowercase : list[float] ) -> float:
"""simple docstring"""
_UpperCamelCase = sorted(numsa + numsa )
_UpperCamelCase , _UpperCamelCase = divmod(len(lower... | 287 |
'''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,
AutoModelForMultipleChoice,... | 287 | 1 |
'''simple docstring'''
import warnings
from pathlib import Path
from typing import List, Tuple, Union
import fire
from torch import nn
from transformers import AutoModelForSeqaSeqLM, AutoTokenizer, PreTrainedModel
from transformers.utils import logging
lowercase__ : List[Any] = logging.get_logge... | 287 |
'''simple docstring'''
import math
def a__ ( lowercase : float, lowercase : float ) -> float:
"""simple docstring"""
if initial_intensity < 0:
raise ValueError('''The value of intensity cannot be negative''' )
# handling of negative values of init... | 287 | 1 |
'''simple docstring'''
import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
lowercase__ : Tuple = logging.get_logger(__name__)... | 287 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase__ : Optional[Any] = {
'configuration_autoformer': [
'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
... | 287 | 1 |
'''simple docstring'''
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig, GPTaConfig
fro... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int, lowercase : list[list[int]] ) -> int:
"""simple docstring"""
def update_area_of_max_square(lowercase : int, lowercase : int ) -> int:
# BASE CASE
if row >= rows or col >= cols... | 287 | 1 |
'''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modelin... | 287 |
'''simple docstring'''
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional
import yaml
from transformers import HfArgume... | 287 | 1 |
'''simple docstring'''
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstring"""
_snake_case : str = 'ClapFeatureExtractor'
_snake_case : T... | 287 |
'''simple docstring'''
def a__ ( lowercase : int ) -> int:
"""simple docstring"""
if not isinstance(lowercase, lowercase ):
raise TypeError('''Input value must be an \'int\' type''' )
_UpperCamelCase = 0
while number:
position += 1
... | 287 | 1 |
'''simple docstring'''
import re
from filelock import FileLock
try:
import nltk
lowercase__ : int = True
except (ImportError, ModuleNotFoundError):
lowercase__ : str = False
if NLTK_AVAILABLE:
with FileLock('.lock') as lock:
nltk.download('punkt', quiet=True)
... | 287 |
'''simple docstring'''
import random
class __lowerCAmelCase :
"""simple docstring"""
@staticmethod
def snake_case__ ( lowerCAmelCase__ : str ) -> tuple[list[int], list[int]]:
'''simple docstring'''
_UpperCamelCase ... | 287 | 1 |
'''simple docstring'''
def a__ ( lowercase : int ) -> list:
"""simple docstring"""
if bit_count < 0:
raise ValueError('''The given input must be positive''' )
# get the generated string sequence
_UpperCamelCase = gray_code_sequence_string(lowercase ... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(lowercase, x % y )
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstrin... | 287 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : int = logging.get_logger(__name__)
lowercase__ : Union[str, Any] = {
'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/c... | 287 |
'''simple docstring'''
import argparse
import os
# New Code #
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import requests
lowercase__ : Union[str, Any] = set(
'approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category... | 287 |
'''simple docstring'''
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_cas... | 287 | 1 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 287 |
'''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 ... | 287 | 1 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEPipeline
from diffusers.pipelines.shap_e import ShapERenderer
from diffusers.u... | 287 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor
lowercase__ : Optional[Any] = logging.get_logger(__name__)
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstring"""
def __ini... | 287 | 1 |
'''simple docstring'''
import mpmath # for roots of unity
import numpy as np
class __lowerCAmelCase :
"""simple docstring"""
def __init__( self : str , lowerCAmelCase__ : int=None , lowerCAmelCase__ : str=None ) -> Any:
'''si... | 287 |
'''simple docstring'''
from math import isclose, sqrt
def a__ ( lowercase : float, lowercase : float, lowercase : float ) -> tuple[float, float, float]:
"""simple docstring"""
_UpperCamelCase = point_y / 4 / point_x
_UpperCamelCase = 2 * normal_grad... | 287 | 1 |
'''simple docstring'''
from math import factorial
def a__ ( lowercase : int = 100 ) -> int:
"""simple docstring"""
return sum(map(lowercase, str(factorial(lowercase ) ) ) )
if __name__ == "__main__":
print(solution(int(input('Enter the Number: ').strip())))... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : Tuple = {
'microsoft/trocr-base-handwritten': (
'https://huggingface.co/microsoft/trocr-base-handwr... | 287 | 1 |
'''simple docstring'''
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def a__ ( lowercase : Tuple ) -> List[Any]:
"""simple docstring"""
return DownloadCommand(args.model, args.cache_dir, args.force, args.trust_remote_code )
class _... | 287 |
'''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 TokenizerTes... | 287 | 1 |
'''simple docstring'''
import math
def a__ ( lowercase : int ) -> bool:
"""simple docstring"""
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all even numbers, ... | 287 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[int], lowercase : list[int], lowercase : int ) -> tuple[float, list[float]]:
"""simple docstring"""
_UpperCamelCase = list(range(len(lowercase ) ) )
_UpperCamelC... | 287 | 1 |
'''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=__magic_name__ )
class __lowerCAmelCase ( __magic_name__ ):
"""simple docst... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Optional[Any] = logging.get_logger(__name__)
lowercase__ : List[Any] = {
'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
... | 287 | 1 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from .t... | 287 |
'''simple docstring'''
import importlib.metadata
from typing import Union
from packaging.version import Version, parse
from .constants import STR_OPERATION_TO_FUNC
lowercase__ : List[Any] = parse(importlib.metadata.version('torch'))
def a__ ( lowercase : Union[str, Version], lo... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
from random import choice
def a__ ( lowercase : Dict ) -> Optional[Any]:
"""simple docstring"""
return choice(lowercase )
def a__ ( lowercase : list[int], lowercase : int ) -> int:
... | 287 |
'''simple docstring'''
import re
import time
from typing import Optional
import IPython.display as disp
from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length
def a__ ( lowercase : Tuple ) -> Dict:
"""simple docstring"""
_U... | 287 | 1 |
'''simple docstring'''
import argparse
import re
import torch
from CLAP import create_model
from transformers import AutoFeatureExtractor, ClapConfig, ClapModel
lowercase__ : Dict = {
'text_branch': 'text_model',
'audio_branch': 'audio_model.audio_encoder',
'attn': 'attention.self',
... | 287 |
'''simple docstring'''
from cva import destroyAllWindows, imread, imshow, waitKey
def a__ ( lowercase : str ) -> Optional[int]:
"""simple docstring"""
_UpperCamelCase , _UpperCamelCase = img.shape[0], img.shape[1]
# converting each pixel's color to its nega... | 287 | 1 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import torch
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstri... | 287 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import RobertaConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available()... | 287 | 1 |
'''simple docstring'''
import math
def a__ ( lowercase : int ) -> bool:
"""simple docstring"""
assert isinstance(lowercase, lowercase ) and (
number >= 0
), "'number' must been an int and positive"
if 1 < number < 4:
# 2 and 3 are primes
... | 287 |
'''simple docstring'''
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_case__ ( self : Tuple ) -> int:
'''simple d... | 287 | 1 |
'''simple docstring'''
import argparse
import json
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification
def a__ ( lowercase : int ) -> Any:
... | 287 |
'''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,
AutoModelForMultipleChoice,... | 287 | 1 |
'''simple docstring'''
import logging
import os
import random
import sys
from dataclasses import dataclass, field
from typing import Optional
import datasets
import evaluate
import numpy as np
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
AutoModelForSeque... | 287 |
'''simple docstring'''
import math
def a__ ( lowercase : float, lowercase : float ) -> float:
"""simple docstring"""
if initial_intensity < 0:
raise ValueError('''The value of intensity cannot be negative''' )
# handling of negative values of init... | 287 | 1 |
'''simple docstring'''
import logging
import os
from .state import PartialState
class __lowerCAmelCase ( logging.LoggerAdapter ):
"""simple docstring"""
@staticmethod
def snake_case__ ( lowerCAmelCase__ : Dict ) -> Union[str, Any]:
... | 287 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase__ : Optional[Any] = {
'configuration_autoformer': [
'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
... | 287 | 1 |
'''simple docstring'''
import tempfile
import torch
from diffusers import (
DEISMultistepScheduler,
DPMSolverMultistepScheduler,
DPMSolverSinglestepScheduler,
UniPCMultistepScheduler,
)
from .test_schedulers import SchedulerCommonTest
class __lowerCAmelCase ( __magic_name__ ):
... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int, lowercase : list[list[int]] ) -> int:
"""simple docstring"""
def update_area_of_max_square(lowercase : int, lowercase : int ) -> int:
# BASE CASE
if row >= rows or col >= cols... | 287 | 1 |
'''simple docstring'''
def a__ ( lowercase : int ) -> bool:
"""simple docstring"""
if p < 2:
raise ValueError('''p should not be less than 2!''' )
elif p == 2:
return True
_UpperCamelCase = 4
_UpperCamelCase = (1 << p) - 1
fo... | 287 |
'''simple docstring'''
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional
import yaml
from transformers import HfArgume... | 287 | 1 |
'''simple docstring'''
import argparse
import struct
import unittest
class __lowerCAmelCase :
"""simple docstring"""
def __init__( self : Optional[int] , lowerCAmelCase__ : bytes ) -> None:
'''simple docstring'''
_Upper... | 287 |
'''simple docstring'''
def a__ ( lowercase : int ) -> int:
"""simple docstring"""
if not isinstance(lowercase, lowercase ):
raise TypeError('''Input value must be an \'int\' type''' )
_UpperCamelCase = 0
while number:
position += 1
... | 287 | 1 |
'''simple docstring'''
from collections import namedtuple
lowercase__ : Optional[int] = namedtuple('from_to', 'from_ to')
lowercase__ : str = {
'cubicmeter': from_to(1, 1),
'litre': from_to(0.001, 10_00),
'kilolitre': from_to(1, 1),
'gallon': from_to(0.0_0454, 264.172)... | 287 |
'''simple docstring'''
import random
class __lowerCAmelCase :
"""simple docstring"""
@staticmethod
def snake_case__ ( lowerCAmelCase__ : str ) -> tuple[list[int], list[int]]:
'''simple docstring'''
_UpperCamelCase ... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
if is_tf_available():
import tensorflow as tf
from transformers import AutoTokenizer, TF... | 287 |
'''simple docstring'''
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(lowercase, x % y )
def a__ ( lowercase : int, lowercase : int ) -> int:
"""simple docstrin... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
lowercase__ : Tuple = [True] * 1_00_00_01
lowercase__ : List[str] = 2
while i * i <= 1_00_00_00:
if seive[i]:
for j in range(i * i, 1_00_00_01, i):
lowercase__ : Any = False
i += 1
def a... | 287 |
'''simple docstring'''
import argparse
import os
# New Code #
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed... | 287 | 1 |
'''simple docstring'''
import argparse
import os
# New Code #
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed... | 287 |
'''simple docstring'''
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class __lowerCAmelCase ( unittest.TestCase ):
"""simple docstring"""
def snake_cas... | 287 | 1 |
'''simple docstring'''
import copy
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase__ : Tuple = ... | 287 |
'''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 ... | 287 | 1 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
fr... | 287 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor
lowercase__ : Optional[Any] = logging.get_logger(__name__)
class __lowerCAmelCase ( __magic_name__ ):
"""simple docstring"""
def __ini... | 287 | 1 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : float, lowercase : float, lowercase : float, ) -> tuple:
"""simple docstring"""
if (electron_conc, hole_conc, intrinsic_conc).count(0 ) != 1:
raise ValueError('''You cannot sup... | 287 |
'''simple docstring'''
from math import isclose, sqrt
def a__ ( lowercase : float, lowercase : float, lowercase : float ) -> tuple[float, float, float]:
"""simple docstring"""
_UpperCamelCase = point_y / 4 / point_x
_UpperCamelCase = 2 * normal_grad... | 287 | 1 |
'''simple docstring'''
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : List[Any] = logging.get_logger(__name__)
lowercase__ : Tuple = {
'microsoft/trocr-base-handwritten': (
'https://huggingface.co/microsoft/trocr-base-handwr... | 287 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase__ : int = {
'configuration_time_series_transformer': [
'TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
'TimeSeriesTra... | 287 |
'''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 TokenizerTes... | 287 | 1 |
'''simple docstring'''
import copy
import tempfile
import unittest
from transformers import MaMaaaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from transformers.utils import cached_property
from ...generation.test... | 287 |
'''simple docstring'''
from __future__ import annotations
def a__ ( lowercase : list[int], lowercase : list[int], lowercase : int ) -> tuple[float, list[float]]:
"""simple docstring"""
_UpperCamelCase = list(range(len(lowercase ) ) )
_UpperCamelC... | 287 | 1 |
'''simple docstring'''
from scipy.stats import pearsonr
import datasets
lowercase__ : Any = '\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies... | 287 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Optional[Any] = logging.get_logger(__name__)
lowercase__ : List[Any] = {
'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
... | 287 | 1 |
'''simple docstring'''
import argparse
from collections import OrderedDict
from pathlib import Path
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision.transforms import functional as F
from transformers import DetrImageProcessor, TableTransformerConfig, TableTransfo... | 287 |
'''simple docstring'''
import importlib.metadata
from typing import Union
from packaging.version import Version, parse
from .constants import STR_OPERATION_TO_FUNC
lowercase__ : List[Any] = parse(importlib.metadata.version('torch'))
def a__ ( lowercase : Union[str, Version], lo... | 287 | 1 |
'''simple docstring'''
import collections
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
lowercase__ : Optional[Any] = logging.get_logger(__name__)
lowercase__ : ... | 287 |
'''simple docstring'''
import re
import time
from typing import Optional
import IPython.display as disp
from ..trainer_callback import TrainerCallback
from ..trainer_utils import IntervalStrategy, has_length
def a__ ( lowercase : Tuple ) -> Dict:
"""simple docstring"""
_U... | 287 | 1 |
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