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'''
def lowerCamelCase ( lowerCAmelCase : Any , lowerCAmelCase : str , lowerCAmelCase : List[str] , lowerCAmelCase : str ):
"""simple docstring"""
__magic_name__ : Optional[int] = [False] * len(lowerCAmelCase )
__magic_na... | 275 |
'''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 ( unittest.TestC... | 275 | 1 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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
... | 275 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Any = logging.get_logger(__name__)
lowerCAmelCase :int = {
'''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/mai... | 275 | 1 |
'''simple docstring'''
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import BaseOutput, is_torch_available, is_transformers_available
@dataclass
class _lowerCamelCase ( lowercase__ ):
... | 275 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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
... | 275 | 1 |
'''simple docstring'''
import unicodedata
from dataclasses import dataclass
from typing import Optional, Union
import numpy as np
from transformers.data.data_collator import DataCollatorMixin
from transformers.file_utils import PaddingStrategy
from transformers.tokenization_utils_base import PreTrainedTokenizerBa... | 275 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DiffusionPipeline,
EulerDiscreteScheduler,
StableDiffusionXLImgaI... | 275 | 1 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int = 50 ):
"""simple docstring"""
__magic_name__ : Optional[Any] = [1] * (length + 1)
for row_length in range(3 , length + 1 ):
for block_length in range(3 , row_length + 1 ):
for block_start in... | 275 |
'''simple docstring'''
import os
import unittest
from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_to... | 275 | 1 |
'''simple docstring'''
from graphs.minimum_spanning_tree_kruskal import kruskal
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : Tuple = 9
__magic_name__ : Optional[Any] = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
[7, 8, 7],
... | 275 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
return "".join(chr(ord(lowerCAmelCase ) - 32 ) if 'a' <= char <= 'z' else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod() | 275 | 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_common ... | 275 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 275 | 1 |
'''simple docstring'''
import unittest
from transformers import DebertaVaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTes... | 275 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
if not isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(lowerCAmelCase )
if nu... | 275 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Dict = logging.get_logger(__name__)
lowerCAmelCase :Tuple = {
'''google/realm-cc-news-pretrained-embedder''': (
'''https://huggingface.co/google/realm-... | 275 |
'''simple docstring'''
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import (
... | 275 | 1 |
'''simple docstring'''
import argparse
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_controlnet_from_original_ckpt
if __name__ == "__main__":
lowerCAmelCase :Optional[int] = argparse.ArgumentParser()
parser.add_argument(
'''--checkpoint_path'... | 275 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
lowerCAmelCase ... | 275 | 1 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : list , lowerCAmelCase : list ):
"""simple docstring"""
_validate_point(lowerCAmelCase )
_validate_point(lowerCAmelCase )
if len(lowerCAmelCase ) != len(lowerCAmelCase ):
raise ValueError('Both points must b... | 275 |
'''simple docstring'''
import socket
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : List[str] = socket.socket(socket.AF_INET , socket.SOCK_STREAM )
__magic_name__ : Union[str, Any] = socket.gethostname()
__magic_name__ : int ... | 275 | 1 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DiffusionPipeline,
EulerDiscreteScheduler,
StableDiffusionXLImgaI... | 275 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
lowerCAmelCase :Any = TypeVar('''T''')
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return (position - 1) // 2
def l... | 275 | 1 |
'''simple docstring'''
import os
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
lowerCAmelCase :Optional[Any] = '''.'''
if __name__ == "__main__":
lowerCAmelCase :Optional[Any] = ... | 350 |
'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import doctest
import sys
import warnings
from os.path import abspath, dirname, join
import _pytest
from transformers.testing_utils import HfDoctestModule, HfDocTestParser
# allow ha... | 275 | 0 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel
from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_ful... | 351 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : Optional[int] = 1
for i in range(1 , num + 1 ):
fact *= i
return fact
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple ... | 275 | 0 |
'''simple docstring'''
import os
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
lowerCAmelCase :Optional[int] = '''.'''
if __name__ == "__main__":
lowerCAmelCase :str = os.path.jo... | 352 |
'''simple docstring'''
from typing import List, Optional, Union
import torch
from transformers import (
XLMRobertaTokenizer,
)
from ...models import UNetaDConditionModel, VQModel
from ...pipelines import DiffusionPipeline
from ...pipelines.pipeline_utils import ImagePipelineOutput
from ...schedulers import DD... | 275 | 0 |
'''simple docstring'''
from math import factorial
def lowerCamelCase ( lowerCAmelCase : int , lowerCAmelCase : int , lowerCAmelCase : float ):
"""simple docstring"""
if successes > trials:
raise ValueError('successes must be lower or equal to trials' )
if t... | 353 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logging,
)
... | 275 | 0 |
'''simple docstring'''
import inspect
import unittest
from transformers import ViTConfig
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is_torch_available, i... | 354 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_beit import BeitImageProcessor
lowerCAmelCase :Tuple = logging.get_logger(__name__)
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
def __init__( self : Any , ... | 275 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta.... | 355 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :str = {
'''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoder... | 275 | 0 |
'''simple docstring'''
from collections import deque
from math import floor
from random import random
from time import time
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : Optional[Any] ) -> int:
__magic_name__ : List[str] = {}
def __... | 356 |
'''simple docstring'''
lowerCAmelCase :Union[str, Any] = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers... | 275 | 0 |
'''simple docstring'''
import inspect
import os
import re
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import direct_transformers_import
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/... | 357 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str , lowerCAmelCase : Any , lowerCAmelCase : Any=False ):
"""simple docstring"""
if isinstance(lowerCAmelCase , lowerCAmelCase ) and isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : ... | 275 | 0 |
'''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 import T... | 358 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
if not all(x.isalpha() for x in string ):
raise ValueError('String must only contain alphabetic characters.' )
__magic_name__ : int = sorted(string.lower() )
return len(l... | 275 | 0 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=__A ):
'''simple docstring'''
A_ : int = ['torch', 'scipy']
def __init__( self : Union[str, Any] , *_A : Optional[int] , **_A : ... | 359 |
'''simple docstring'''
import math
def lowerCamelCase ( lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
return math.pow(lowerCAmelCase , 2 ) - a
def lowerCamelCase ( lowerCAmelCase : float ):
"""simple docstring"... | 275 | 0 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=A_ ):
'''simple docstring'''
A_ : Optional[Any] = ["torch", "transformers", "onnx"]
def __init__( self : Optional[int] , *_A : Optional[int... | 360 |
'''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 ( unittest.TestC... | 275 | 0 |
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Optional[Any] = logging.get_logger(__name__)
lowerCAmelCase :int = {
'''huggingface/time-series-transformer-tourism-monthly''': (
'''... | 361 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Any = logging.get_logger(__name__)
lowerCAmelCase :int = {
'''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/mai... | 275 | 0 |
import os
from argparse import ArgumentParser
from typing import List
import torch.utils.data
from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node
lowerCAmelCase :Optional[int] = 4
lowerCAmelCase :Any = 3
class _lowerCamelCase ( l... | 362 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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
... | 275 | 0 |
'''simple docstring'''
import math
def lowerCamelCase ( lowerCAmelCase : Union[str, Any] ):
"""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, all multiples... | 363 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DiffusionPipeline,
EulerDiscreteScheduler,
StableDiffusionXLImgaI... | 275 | 0 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : Dict ):
"""simple docstring"""
__magic_name__ : int = [0] * len(a_ )
__magic_name__ : Optional[Any] = []
__magic_name__ : Tuple = [1] * len(a_ )
for values in graph.values():
... | 364 |
'''simple docstring'''
import os
import unittest
from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_to... | 275 | 0 |
'''simple docstring'''
from typing import List, Optional, Union
import torch
from ...models import UNetaDConditionModel, VQModel
from ...pipelines import DiffusionPipeline
from ...pipelines.pipeline_utils import ImagePipelineOutput
from ...schedulers import DDPMScheduler
from ...utils import (
is_accelerate_a... | 365 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
return "".join(chr(ord(lowerCAmelCase ) - 32 ) if 'a' <= char <= 'z' else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod() | 275 | 0 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 366 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 275 | 0 |
'''simple docstring'''
from pathlib import Path
import fire
from tqdm import tqdm
def lowerCamelCase ( lowerCAmelCase : int="ro" , lowerCAmelCase : str="en" , lowerCAmelCase : str="wmt16" , lowerCAmelCase : Dict=None ):
"""simple docstring"""
try:
i... | 367 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
if not isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(lowerCAmelCase )
if nu... | 275 | 0 |
'''simple docstring'''
import os
import tempfile
import unittest
import numpy as np
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax, slow
if is_flax_available():
import jax
import jax.numpy as jnp
from flax.jax_utils import replicate
... | 368 |
'''simple docstring'''
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import (
... | 275 | 0 |
'''simple docstring'''
import argparse
import os
import re
lowerCAmelCase :Union[str, Any] = '''src/diffusers'''
# Pattern that looks at the indentation in a line.
lowerCAmelCase :Tuple = re.compile(r'''^(\s*)\S''')
# Pattern that matches `"key":" and puts `key` in group 0.
lowerCAm... | 369 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
lowerCAmelCase ... | 275 | 0 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return 1 if digit in (0, 1) else (digit * factorial(digit - 1 ))
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : Lis... | 370 |
'''simple docstring'''
import socket
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : List[str] = socket.socket(socket.AF_INET , socket.SOCK_STREAM )
__magic_name__ : Union[str, Any] = socket.gethostname()
__magic_name__ : int ... | 275 | 0 |
'''simple docstring'''
import math
import os
import unittest
from transformers import MegatronBertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test... | 371 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
lowerCAmelCase :Any = TypeVar('''T''')
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return (position - 1) // 2
def l... | 275 | 0 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFInpaintingSuperResolutionPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device
from ..pipeline_par... | 350 |
'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import doctest
import sys
import warnings
from os.path import abspath, dirname, join
import _pytest
from transformers.testing_utils import HfDoctestModule, HfDocTestParser
# allow ha... | 275 | 0 |
'''simple docstring'''
lowerCAmelCase :Optional[int] = [0, 2, 4, 6, 8]
lowerCAmelCase :Union[str, Any] = [1, 3, 5, 7, 9]
def lowerCamelCase ( lowerCAmelCase : Any , lowerCAmelCase : Tuple , lowerCAmelCase : Union[str, Any] , lowerCAmelCase ... | 351 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : Optional[int] = 1
for i in range(1 , num + 1 ):
fact *= i
return fact
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple ... | 275 | 0 |
'''simple docstring'''
from manim import *
class _lowerCamelCase ( __snake_case ):
'''simple docstring'''
def __lowerCAmelCase ( self : Any ) -> Any:
__magic_name__ : int = Rectangle(height=0.5 , width=0.5 )
__magic_name__ : int ... | 352 |
'''simple docstring'''
from typing import List, Optional, Union
import torch
from transformers import (
XLMRobertaTokenizer,
)
from ...models import UNetaDConditionModel, VQModel
from ...pipelines import DiffusionPipeline
from ...pipelines.pipeline_utils import ImagePipelineOutput
from ...schedulers import DD... | 275 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Optional[int] = logging.get_logger(__name__)
lowerCAmelCase :Any = {
"""uclanlp/visualbert-vqa""": """https://huggingface.co/uclanlp/visualbert-vqa/resolve/mai... | 353 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logging,
)
... | 275 | 0 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPImageProcessor, CLIPVisionConfig, CLIPVisionModel
from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEImgaImgPipeline
from diffusers.pipelines.shap_e import ShapERenderer
fro... | 354 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_beit import BeitImageProcessor
lowerCAmelCase :Tuple = logging.get_logger(__name__)
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
def __init__( self : Any , ... | 275 | 0 |
'''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
from .... | 355 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :str = {
'''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoder... | 275 | 0 |
'''simple docstring'''
import unittest
from huggingface_hub import hf_hub_download
from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
from transformers.pipelines import VideoClassificationPipeline, pipeline
from transformers.testing_utils import (
is_pipeline_test,
n... | 356 |
'''simple docstring'''
lowerCAmelCase :Union[str, Any] = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers... | 275 | 0 |
'''simple docstring'''
from collections import defaultdict
from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ , __magic_name__ : Dict = 9, 14 # noqa: F841... | 357 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str , lowerCAmelCase : Any , lowerCAmelCase : Any=False ):
"""simple docstring"""
if isinstance(lowerCAmelCase , lowerCAmelCase ) and isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : ... | 275 | 0 |
'''simple docstring'''
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sa... | 358 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
if not all(x.isalpha() for x in string ):
raise ValueError('String must only contain alphabetic characters.' )
__magic_name__ : int = sorted(string.lower() )
return len(l... | 275 | 0 |
'''simple docstring'''
from __future__ import annotations
import time
import numpy as np
lowerCAmelCase :str = [8, 5, 9, 7]
lowerCAmelCase :Optional[int] = [
[2, 0, 1, 1],
[0, 1, 2, 1],
[4, 0, 0, 3],
[0, 2, 1, 0],
[1, 0, 3, 0],
]
lowerCAmelCase :Dict = ... | 359 |
'''simple docstring'''
import math
def lowerCamelCase ( lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
return math.pow(lowerCAmelCase , 2 ) - a
def lowerCamelCase ( lowerCAmelCase : float ):
"""simple docstring"... | 275 | 0 |
'''simple docstring'''
import argparse
import requests
import torch
from PIL import Image
from torchvision.transforms import Compose, Normalize, Resize, ToTensor
from transformers import SwinaSRConfig, SwinaSRForImageSuperResolution, SwinaSRImageProcessor
def lowerCamelCase ( lowerCAmelCase : ... | 360 |
'''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 ( unittest.TestC... | 275 | 0 |
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
lowerCAmelCase :List[Any] = argparse.ArgumentParser()
parser.add_argument('''--dump_path''', defau... | 361 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Any = logging.get_logger(__name__)
lowerCAmelCase :int = {
'''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/mai... | 275 | 0 |
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
lowerCAmelCase :List[str] = logging.get_logger(__name__)
lowerCAmelCase :List[Any] ... | 362 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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
... | 275 | 0 |
'''simple docstring'''
import unicodedata
from dataclasses import dataclass
from typing import Optional, Union
import numpy as np
from transformers.data.data_collator import DataCollatorMixin
from transformers.file_utils import PaddingStrategy
from transformers.tokenization_utils_base import PreTrainedTokenizerBa... | 363 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DiffusionPipeline,
EulerDiscreteScheduler,
StableDiffusionXLImgaI... | 275 | 0 |
'''simple docstring'''
import argparse
from collections import defaultdict
import yaml
lowerCAmelCase :Optional[Any] = '''docs/source/en/_toctree.yml'''
def lowerCamelCase ( lowerCAmelCase : List[Any] ):
"""simple docstring"""
__magic_name__ : int = ... | 364 |
'''simple docstring'''
import os
import unittest
from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_to... | 275 | 0 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import XLMRobertaTokenizer
from diffusers import (
AltDiffusionImgaImgPipeline,
AutoencoderKL,
PNDMScheduler,
UNetaDConditionModel,
)
from diffusers.image_processor import VaeImageProce... | 365 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
return "".join(chr(ord(lowerCAmelCase ) - 32 ) if 'a' <= char <= 'z' else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod() | 275 | 0 |
'''simple docstring'''
from __future__ import annotations
from fractions import Fraction
from math import gcd, sqrt
def lowerCamelCase ( lowerCAmelCase : int ) -> bool:
"""simple docstring"""
__magic_name__ : Any = int(number**0.5 )
return number == sq * sq
... | 366 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 275 | 0 |
'''simple docstring'''
from typing import Any, Dict, List, Union
from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if is_vision_available():
from PIL import Image
from ..image_utils import... | 367 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
if not isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(lowerCAmelCase )
if nu... | 275 | 0 |
'''simple docstring'''
from math import sqrt
def lowerCamelCase ( lowerCAmelCase : int = 100_0000 ):
"""simple docstring"""
__magic_name__ : int = 0
__magic_name__ : Optional[Any] = 0
__magic_name__ : List[Any] = 42
while num... | 368 |
'''simple docstring'''
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import (
... | 275 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import RemBertConfig, RemBertModel, load_tf_weights_in_rembert
from transformers.utils import logging
logging.set_verbosity_info()
def lowerCamelCase ( lowerCAmelCase : Optional[Any] , lowerCAmelCase : Union[str... | 369 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
lowerCAmelCase ... | 275 | 0 |
'''simple docstring'''
lowerCAmelCase :Dict = '''Input must be a string of 8 numbers plus letter'''
lowerCAmelCase :int = '''TRWAGMYFPDXBNJZSQVHLCKE'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
if not isinstance(lowerCAmelC... | 370 |
'''simple docstring'''
import socket
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : List[str] = socket.socket(socket.AF_INET , socket.SOCK_STREAM )
__magic_name__ : Union[str, Any] = socket.gethostname()
__magic_name__ : int ... | 275 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
lowerCAmelCase :Optional[Any] = {
'''configuration_efficientnet''': [
'''E... | 371 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
lowerCAmelCase :Any = TypeVar('''T''')
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return (position - 1) // 2
def l... | 275 | 0 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : Tuple ):
"""simple docstring"""
__magic_name__ : Dict = [int(__lowerCAmelCase ) for i in ip_va_address.split('.' ) if i.isdigit()]
return len(__lowerCAmelCase ) == 4 and all(0 <= int(__lowerCAmelCase ) <... | 350 |
'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import doctest
import sys
import warnings
from os.path import abspath, dirname, join
import _pytest
from transformers.testing_utils import HfDoctestModule, HfDocTestParser
# allow ha... | 275 | 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 .pt_to_... | 351 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : Optional[int] = 1
for i in range(1 , num + 1 ):
fact *= i
return fact
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple ... | 275 | 0 |
'''simple docstring'''
import math
import os
import unittest
from transformers import MegatronBertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuratio... | 352 |
'''simple docstring'''
from typing import List, Optional, Union
import torch
from transformers import (
XLMRobertaTokenizer,
)
from ...models import UNetaDConditionModel, VQModel
from ...pipelines import DiffusionPipeline
from ...pipelines.pipeline_utils import ImagePipelineOutput
from ...schedulers import DD... | 275 | 0 |
'''simple docstring'''
import argparse
import re
import numpy as np
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
SamConfig,
SamImageProcessor,
SamModel,
SamProcessor,
SamVisionConfig,
)
lowerCAmelCase :Optional[i... | 353 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logging,
)
... | 275 | 0 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : Any , lowerCAmelCase : Any ):
"""simple docstring"""
return int(input_a == input_a == 0 )
def lowerCamelCase ( ):
"""simple docstring"""
print('Truth Table of NOR Gate:' )
print('| ... | 354 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_beit import BeitImageProcessor
lowerCAmelCase :Tuple = logging.get_logger(__name__)
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
def __init__( self : Any , ... | 275 | 0 |
'''simple docstring'''
from __future__ import annotations
from collections import namedtuple
def lowerCamelCase ( lowerCAmelCase : float , lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
__magic_name__ : Optional[int] = ... | 355 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :str = {
'''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoder... | 275 | 0 |
'''simple docstring'''
from __future__ import annotations
from typing import Any
def lowerCamelCase ( lowerCAmelCase : list[Any] ):
"""simple docstring"""
create_state_space_tree(lowerCAmelCase , [] , 0 )
def lowerCamelCase ( lowerCAmelCase : list[Any... | 356 |
'''simple docstring'''
lowerCAmelCase :Union[str, Any] = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers... | 275 | 0 |
'''simple docstring'''
import argparse
import intel_extension_for_pytorch as ipex
import torch
from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
lowerCAmelCase :Optional[int] = argparse.ArgumentParser('''Stable Diffusion script with intel optimization''', add... | 357 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str , lowerCAmelCase : Any , lowerCAmelCase : Any=False ):
"""simple docstring"""
if isinstance(lowerCAmelCase , lowerCAmelCase ) and isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : ... | 275 | 0 |
'''simple docstring'''
lowerCAmelCase :Optional[int] = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.g... | 358 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
if not all(x.isalpha() for x in string ):
raise ValueError('String must only contain alphabetic characters.' )
__magic_name__ : int = sorted(string.lower() )
return len(l... | 275 | 0 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig
lowerCAmelCase :List[Any] = logging.get_logger(__name__)
lowerCAmelCase :int = {
'Intel/dpt-large': 'https://huggingface.co/Intel/dpt-... | 359 |
'''simple docstring'''
import math
def lowerCamelCase ( lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
return math.pow(lowerCAmelCase , 2 ) - a
def lowerCamelCase ( lowerCAmelCase : float ):
"""simple docstring"... | 275 | 0 |
'''simple docstring'''
from jiwer import compute_measures
import datasets
lowerCAmelCase :List[Any] = '''\
@inproceedings{inproceedings,
author = {Morris, Andrew and Maier, Viktoria and Green, Phil},
year = {2004},
month = {01},
pages = {},
title = {From WER and RIL to MER and ... | 360 |
'''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 ( unittest.TestC... | 275 | 0 |
import argparse
import json
import torch
from diffusers import DDPMScheduler, LDMPipeline, UNetaDModel, VQModel
def lowerCamelCase ( lowerCAmelCase : List[str] , lowerCAmelCase : Dict=1 ):
"""simple docstring"""
if n_shave_prefix_segments >= 0:
return ".".join(path.s... | 361 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Any = logging.get_logger(__name__)
lowerCAmelCase :int = {
'''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/mai... | 275 | 0 |
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def lowerCamelCase ( lowerCAmelCase : Optional[int] , lowerCAmelCase : str ):
"""simple docstring"""
__magic_name__ : Dict = f'{sampling_rate}'
... | 362 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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
... | 275 | 0 |
'''simple docstring'''
import operator as op
def lowerCamelCase ( lowerCAmelCase : List[Any] ):
"""simple docstring"""
__magic_name__ : List[Any] = []
__magic_name__ : Any = lambda lowerCAmelCase , lowerCAmelCase : int(x / y ) # noqa: E731 int... | 363 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DiffusionPipeline,
EulerDiscreteScheduler,
StableDiffusionXLImgaI... | 275 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
UniSpeechSatConfig,
UniSpeechSatForAudioFrameClassification,
UniSpeechSatForSequenceClassification,
UniSpeechSatForXVector,
WavaVecaFeatureExtractor,
logging,
)
logging.set_verbosity_info()
lowerCAmelCase :Lis... | 364 |
'''simple docstring'''
import os
import unittest
from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_to... | 275 | 0 |
'''simple docstring'''
import enum
import shutil
import sys
lowerCAmelCase , lowerCAmelCase :List[str] = shutil.get_terminal_size()
lowerCAmelCase :Any = {'''UP''': '''A''', '''DOWN''': '''B''', '''RIGHT''': '''C''', '''LEFT''': '''D'''}
class _lowerCamelCase ( enum.Enum ... | 365 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
return "".join(chr(ord(lowerCAmelCase ) - 32 ) if 'a' <= char <= 'z' else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod() | 275 | 0 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
import jax... | 366 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 275 | 0 |
'''simple docstring'''
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
@dataclass
# Co... | 367 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
if not isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(lowerCAmelCase )
if nu... | 275 | 0 |
'''simple docstring'''
from __future__ import annotations
import math
def lowerCamelCase ( lowerCAmelCase : float , lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : Tuple = u
for i in range(1 , lowerCAmelCase ):
__magic_name__ :... | 368 |
'''simple docstring'''
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import (
... | 275 | 0 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMScheduler,... | 369 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
lowerCAmelCase ... | 275 | 0 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int , lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
return round(float(moles / volume ) * nfactor )
def lowerCamelCase ( lowerCAmelCase : float , lower... | 370 |
'''simple docstring'''
import socket
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : List[str] = socket.socket(socket.AF_INET , socket.SOCK_STREAM )
__magic_name__ : Union[str, Any] = socket.gethostname()
__magic_name__ : int ... | 275 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
PNDMScheduler,
StableDiffusionLDMaDPipeline,
UNetaDConditionModel,
)
f... | 371 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
lowerCAmelCase :Any = TypeVar('''T''')
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return (position - 1) // 2
def l... | 275 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowerCAmelCase :Optional[Any] = {
"configuration_falcon": ["FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP", "FalconConfig"],
}
try:
if no... | 350 |
'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
import doctest
import sys
import warnings
from os.path import abspath, dirname, join
import _pytest
from transformers.testing_utils import HfDoctestModule, HfDocTestParser
# allow ha... | 275 | 0 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int , lowerCAmelCase : int ):
"""simple docstring"""
if b == 0:
return 1
if (b % 2) == 0:
return actual_power(_SCREAMING_SNAKE_CASE , int(b / 2 ) ) * actual_power(_SCREAMING_SNAKE_CASE , int(b / 2 )... | 351 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : Optional[int] = 1
for i in range(1 , num + 1 ):
fact *= i
return fact
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple ... | 275 | 0 |
'''simple docstring'''
import argparse
import requests
import torch
from PIL import Image
from transformers import SwinConfig, SwinForMaskedImageModeling, ViTImageProcessor
def lowerCamelCase ( lowerCAmelCase : Dict ):
"""simple docstring"""
__magic_name__ : str = ... | 352 |
'''simple docstring'''
from typing import List, Optional, Union
import torch
from transformers import (
XLMRobertaTokenizer,
)
from ...models import UNetaDConditionModel, VQModel
from ...pipelines import DiffusionPipeline
from ...pipelines.pipeline_utils import ImagePipelineOutput
from ...schedulers import DD... | 275 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Optional[int] = logging.get_logger(__name__)
lowerCAmelCase :Optional[int] = {
'microsoft/markuplm-base': 'https://huggingface.co/microsoft/markuplm-base/resol... | 353 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logging,
)
... | 275 | 0 |
'''simple docstring'''
from scipy.stats import pearsonr
import datasets
lowerCAmelCase :Any = '''
Pearson correlation coefficient and p-value for testing non-correlation.
The Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relie... | 354 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_beit import BeitImageProcessor
lowerCAmelCase :Tuple = logging.get_logger(__name__)
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
def __init__( self : Any , ... | 275 | 0 |
'''simple docstring'''
import operator as op
lowerCAmelCase :Optional[Any] = "scaler.pt"
lowerCAmelCase :Dict = "pytorch_model"
lowerCAmelCase :Any = "random_states"
lowerCAmelCase :List[Any] = "optimizer"
lowerCAmelCase :List[str] = "sche... | 355 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :str = {
'''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoder... | 275 | 0 |
'''simple docstring'''
from scipy.stats import pearsonr
import datasets
lowerCAmelCase :List[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... | 356 |
'''simple docstring'''
lowerCAmelCase :Union[str, Any] = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers... | 275 | 0 |
'''simple docstring'''
from typing import Any
import numpy as np
def lowerCamelCase ( lowerCAmelCase : np.ndarray ):
"""simple docstring"""
return np.array_equal(lowercase_ , matrix.conjugate().T )
def lowerCamelCase ( lowerCAm... | 357 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str , lowerCAmelCase : Any , lowerCAmelCase : Any=False ):
"""simple docstring"""
if isinstance(lowerCAmelCase , lowerCAmelCase ) and isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : ... | 275 | 0 |
'''simple docstring'''
from typing import List
import datasets
from datasets.tasks import AudioClassification
from ..folder_based_builder import folder_based_builder
lowerCAmelCase :Tuple = datasets.utils.logging.get_logger(__name__)
class _lowerCamelCase ( folder_based_builder.FolderBasedBu... | 358 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
if not all(x.isalpha() for x in string ):
raise ValueError('String must only contain alphabetic characters.' )
__magic_name__ : int = sorted(string.lower() )
return len(l... | 275 | 0 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def lowerCamelCase ( lowerCAmelCase : Optional[Any] = "AAPL" ):
"""simple docstring"""
__magic_name__ : str = f'https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'
__magic_name__ : int ... | 359 |
'''simple docstring'''
import math
def lowerCamelCase ( lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
return math.pow(lowerCAmelCase , 2 ) - a
def lowerCamelCase ( lowerCAmelCase : float ):
"""simple docstring"... | 275 | 0 |
'''simple docstring'''
from math import factorial
lowerCAmelCase :dict[str, int] = {str(digit): factorial(digit) for digit in range(1_0)}
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
if not isinstance(lowerCAmelCase , lowerCAmelCase ):
... | 360 |
'''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 ( unittest.TestC... | 275 | 0 |
def lowerCamelCase ( lowerCAmelCase : int = 1000 ):
"""simple docstring"""
__magic_name__ : List[Any] = 2**power
__magic_name__ : Tuple = str(_a )
__magic_name__ : Optional[Any] = list(_a )
__magic_name__ : Optional[int] = ... | 361 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Any = logging.get_logger(__name__)
lowerCAmelCase :int = {
'''unc-nlp/lxmert-base-uncased''': '''https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/mai... | 275 | 0 |
from manim import *
class _lowerCamelCase ( lowerCamelCase__ ):
'''simple docstring'''
def __lowerCAmelCase ( self : Any ) -> Dict:
__magic_name__ : Tuple = Rectangle(height=0.5 , width=0.5 )
__magic_name__ : Any = Rectangle... | 362 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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
... | 275 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Union[str, Any] = logging.get_logger(__name__)
lowerCAmelCase :Optional[int] = {
'''EleutherAI/gpt-neox-20b''': '''https://huggingface.co/EleutherAI/gpt-neox-2... | 363 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DiffusionPipeline,
EulerDiscreteScheduler,
StableDiffusionXLImgaI... | 275 | 0 |
'''simple docstring'''
import os
import sys
lowerCAmelCase :int = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,
AutoModelF... | 364 |
'''simple docstring'''
import os
import unittest
from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_to... | 275 | 0 |
'''simple docstring'''
from __future__ import annotations
lowerCAmelCase :int = [-1_0, -5, 0, 5, 5.1, 1_1, 1_3, 2_1, 3, 4, -2_1, -1_0, -5, -1, 0]
lowerCAmelCase :Optional[Any] = [-5, 0, 5, 5.1, 1_1, 1_3, 2_1, -1, 4, -1, -1_0, -5, -1, 0, -1]
def lowerCamelCase ( lowerCAm... | 365 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
return "".join(chr(ord(lowerCAmelCase ) - 32 ) if 'a' <= char <= 'z' else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod() | 275 | 0 |
'''simple docstring'''
import logging
import torch
from accelerate import Accelerator
from arguments import EvaluationArguments
from datasets import load_dataset
from torch.utils.data import IterableDataset
from torch.utils.data.dataloader import DataLoader
from transformers import AutoModelForCausalLM, AutoToken... | 366 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 275 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :str = logging.get_logger(__name__)
lowerCAmelCase :Tuple = {}
class _lowerCamelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
low... | 367 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
if not isinstance(lowerCAmelCase , lowerCAmelCase ):
__magic_name__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(lowerCAmelCase )
if nu... | 275 | 0 |
'''simple docstring'''
import argparse
import collections
import os
import re
import tempfile
import pandas as pd
from datasets import Dataset
from huggingface_hub import hf_hub_download, upload_folder
from transformers.utils import direct_transformers_import
# All paths are set with the intent you should run t... | 368 |
'''simple docstring'''
import argparse
import os
from pathlib import Path
import torch
from bark.generation import _load_model as _bark_load_model
from huggingface_hub import hf_hub_download
from transformers import EncodecConfig, EncodecModel, set_seed
from transformers.models.bark.configuration_bark import (
... | 275 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :str = {'''configuration_encoder_decoder''': ['''EncoderDecoderConfig''']}
try:
... | 369 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import PIL
import torch
from torchvision import transforms
from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor
lowerCAmelCase ... | 275 | 0 |
'''simple docstring'''
import math
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : Optional[int] = []
__magic_name__ : Optional[int] = 2
__magic_name__ : Tuple = int(math.sqrt(snake_case_ ) ) ... | 370 |
'''simple docstring'''
import socket
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : List[str] = socket.socket(socket.AF_INET , socket.SOCK_STREAM )
__magic_name__ : Union[str, Any] = socket.gethostname()
__magic_name__ : int ... | 275 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase :Any = {
'''configuration_blip_2''': [
'''BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''Blip2Config''',
... | 371 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
lowerCAmelCase :Any = TypeVar('''T''')
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return (position - 1) // 2
def l... | 275 | 0 |
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