code stringlengths 82 54.1k | code_codestyle int64 0 699 | style_context stringlengths 111 35.6k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
# limitations under the License.
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noqa: F401
fro... | 616 |
"""simple docstring"""
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def lowerCAmelCase_ ( ):
"""simple docstring"""
wit... | 616 | 1 |
"""simple docstring"""
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def lowerCAmelCase_ ( ):
"""simple docstring"""
wit... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : list , UpperCamelCase__ : int , UpperCamelCase__ : int = 0 , UpperCamelCase__ : int = 0 ):
"""simple docstring"""
__lowercase = right or len(UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
from __future__ import annotations
import math
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int , UpperCamelCase__ : bool , UpperCamelCase__ : list[int] , UpperCamelCase__ : float ):
"""... | 616 |
"""simple docstring"""
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ ... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int ):
"""simple docstring"""
if not isinstance(UpperCamelCase__ , UpperCamelCase__ ):
__lowercase = f'''Input value of [number={number}] must be an integer'''
raise TypeError(Uppe... | 616 |
"""simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
... | 616 | 1 |
"""simple docstring"""
import cva
import numpy as np
class lowerCamelCase__ :
def __init__( self : Optional[Any] , A_ : float , A_ : int ):
'''simple docstring'''
if k in (0.04, 0.06):
__lowercase ... | 616 |
"""simple docstring"""
import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch
import multiprocess
import numpy as np
import pytest
from datasets.utils.py_utils import (
NestedDataStructure,
asdict,
... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : str ):
"""simple docstring"""
__lowercase = 0
# if input_string is "aba" than new_input_string become "a|b|a"
__lowercase = """"""
__lowercase = """"""
# append... | 616 |
"""simple docstring"""
from typing import Optional
from urllib.parse import quote
import huggingface_hub as hfh
from packaging import version
def lowerCAmelCase_ ( UpperCamelCase__ : str , UpperCamelCase__ : str , UpperCamelCase__ : Optional[str] = None ):
... | 616 | 1 |
"""simple docstring"""
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fssp... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : int ):
"""simple docstring"""
if n == 0:
return 1
elif n % 2 == 1:
return (binary_exponentiation... | 616 | 1 |
"""simple docstring"""
from pathlib import Path
import cva
import numpy as np
from matplotlib import pyplot as plt
def lowerCAmelCase_ ( UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : int... | 616 |
"""simple docstring"""
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available... | 616 | 1 |
"""simple docstring"""
import warnings
from typing import List, Optional, Tuple, Union
import numpy as np
import PIL
import torch
from ...models import UNetaDModel
from ...schedulers import RePaintScheduler
from ...utils import PIL_INTERPOLATION, logging, randn_tensor
from ..pipeline_utils import D... | 616 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze... | 616 | 1 |
"""simple docstring"""
import gzip
import hashlib
import json
import multiprocessing
import os
import re
import shutil
import time
from pathlib import Path
import numpy as np
from arguments import PreprocessingArguments
from datasets import load_dataset
from minhash_deduplication import deduplica... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int ):
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(UpperCamelCase__ , x % y )
def lowerCAmelCase_ ( UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
import torch
from transformers import CamembertForMaskedLM, CamembertTokenizer
def lowerCAmelCase_ ( UpperCamelCase__ : Optional[Any] , UpperCamelCase__ : str , UpperCamelCase__ : Any , UpperCamelCase__ : List[str]=5 ):
... | 616 |
"""simple docstring"""
import argparse
import logging
from collections import namedtuple
import torch
from model_bertabs import BertAbsSummarizer
from models.model_builder import AbsSummarizer # The authors' implementation
from transformers import BertTokenizer
logging.basicConfig(level=logging... | 616 | 1 |
"""simple docstring"""
import itertools
import os
from collections import Counter, defaultdict
from concurrent.futures import ThreadPoolExecutor, as_completed
import numpy as np
import datasets
from .execute import check_correctness
UpperCAmelCase__ ="\\n@misc{chen2021evaluating,\n ti... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int ):
"""simple docstring"""
assert (
isinstance(UpperCamelCase__ , UpperCamelCase__ ) and number_of_steps > 0
), f'''number_of_steps needs to be positive integer, your input {number_of_s... | 616 | 1 |
"""simple docstring"""
import argparse
import logging
from collections import namedtuple
import torch
from model_bertabs import BertAbsSummarizer
from models.model_builder import AbsSummarizer # The authors' implementation
from transformers import BertTokenizer
logging.basicConfig(level=logging... | 616 |
"""simple docstring"""
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
from ...test_tokenization_common import TokenizerTesterMixin
@require_tok... | 616 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaInpaintPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import f... | 616 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from diffusers.mod... | 616 | 1 |
"""simple docstring"""
from collections import defaultdict
from math import gcd
def lowerCAmelCase_ ( UpperCamelCase__ : int = 1500000 ):
"""simple docstring"""
__lowercase = defaultdict(UpperCamelCase__ )
__lowercase = 2
while 2 * eu... | 616 |
"""simple docstring"""
class lowerCamelCase__ :
def __init__( self : Optional[Any] , A_ : Dict , A_ : str , A_ : Any ):
'''simple docstring'''
__lowercase = None
__lowercase = ... | 616 | 1 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
UpperCAmelCase__ =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))
import check_copies # noqa:... | 616 |
"""simple docstring"""
from pathlib import Path
import cva
import numpy as np
from matplotlib import pyplot as plt
def lowerCAmelCase_ ( UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : int... | 616 | 1 |
"""simple docstring"""
import json
import os
import unittest
from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
VOCAB_FILES_NAMES,
GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_common import T... | 616 |
"""simple docstring"""
from PIL import Image
def lowerCAmelCase_ ( UpperCamelCase__ : Image , UpperCamelCase__ : int ):
"""simple docstring"""
__lowercase = (259 * (level + 255)) / (255 * (259 - level))
def contrast(UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
import math
def lowerCAmelCase_ ( UpperCamelCase__ : float , UpperCamelCase__ : float ):
"""simple docstring"""
return math.pow(UpperCamelCase__ , 2 ) - a
def lowerCAmelCase_ ( UpperCamelCase__ : float ... | 616 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
UpperCAmelCase__ =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))
import check_copies # noqa:... | 616 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase__ ={
"configuration_blip": [
"BLIP_PRETRAINED_CONFIG_ARCHIVE... | 616 |
"""simple docstring"""
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import Tensor, nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, ad... | 616 | 1 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import DeiTConfig, DeiTForImageClassificationWithTeacher, DeiTImageProcessor
from transformers.ut... | 616 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_ ( UpperCamelCase__ : list[float] , UpperCamelCase__ : Any ):
"""simple docstring"""
print(f'''Vertex\tShortest Distance from vertex {src}''' )
for i, d in enumerate(Upp... | 616 | 1 |
"""simple docstring"""
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
if is_torch_available():
import torch
from transformers import XLMRobertaModel
@require_... | 616 |
"""simple docstring"""
import os
import time
import warnings
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...tokenization_utils_base import PreTrainedToke... | 616 | 1 |
"""simple docstring"""
from __future__ import annotations
# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
UpperCAmelCase__ =10
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelC... | 616 |
"""simple docstring"""
from collections import OrderedDict
from typing import Any, List, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import log... | 616 | 1 |
"""simple docstring"""
import json
import os
from typing import Dict, List, Optional, Tuple
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ =logging.get_logger(__name__)
UpperCAmelCase__ ={
"vocab_file": "vocab.json",
"tokeni... | 616 |
"""simple docstring"""
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def lowerCAmelCase_ ( ):
"""simple docstring"""
wit... | 616 | 1 |
"""simple docstring"""
import unittest
from transformers import MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING, AutoTokenizer, is_vision_available
from transformers.pipelines import pipeline
from transformers.pipelines.document_question_answering import apply_tesseract
from transformers.testing_utils impo... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : list , UpperCamelCase__ : int , UpperCamelCase__ : int = 0 , UpperCamelCase__ : int = 0 ):
"""simple docstring"""
__lowercase = right or len(UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
class lowerCamelCase__ :
def __init__( self : Dict , A_ : int , A_ : Dict ):
'''simple docstring'''
__lowercase = name
__lowercase = val
def __str__( self ... | 616 |
"""simple docstring"""
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ ... | 616 | 1 |
"""simple docstring"""
import argparse
from typing import List
import evaluate
import numpy as np
import torch
from datasets import DatasetDict, load_dataset
# New Code #
# We'll be using StratifiedKFold for this example
from sklearn.model_selection import StratifiedKFold
from torch.optim import A... | 616 |
"""simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int = 10 ):
"""simple docstring"""
if not isinstance(UpperCamelCase__ , UpperCamelCase__ ) or n < 0:
raise ValueError("""Invalid input""" )
__lowercase = 10**n
__lowercase ... | 616 |
"""simple docstring"""
import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch
import multiprocess
import numpy as np
import pytest
from datasets.utils.py_utils import (
NestedDataStructure,
asdict,
... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : list[int] , UpperCamelCase__ : list[int] , UpperCamelCase__ : int ):
"""simple docstring"""
return not any(
neighbour == 1 and colored_vertices[i] == color
for i, neigh... | 616 |
"""simple docstring"""
from typing import Optional
from urllib.parse import quote
import huggingface_hub as hfh
from packaging import version
def lowerCAmelCase_ ( UpperCamelCase__ : str , UpperCamelCase__ : str , UpperCamelCase__ : Optional[str] = None ):
... | 616 | 1 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from tests.test_modeling_common import floats_tensor
from transformers import MaskaFormerConfig, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_visio... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : int ):
"""simple docstring"""
if n == 0:
return 1
elif n % 2 == 1:
return (binary_exponentiation... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : str , UpperCamelCase__ : str ):
"""simple docstring"""
if not (isinstance(UpperCamelCase__ , UpperCamelCase__ ) and isinstance(UpperCamelCase__ , UpperCamelCase__ )):
raise Val... | 616 |
"""simple docstring"""
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available... | 616 | 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
UpperCAmel... | 616 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze... | 616 | 1 |
"""simple docstring"""
from PIL import Image
def lowerCAmelCase_ ( UpperCamelCase__ : Image , UpperCamelCase__ : int ):
"""simple docstring"""
__lowercase = (259 * (level + 255)) / (255 * (259 - level))
def contrast(UpperCamelCase__ ... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int ):
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(UpperCamelCase__ , x % y )
def lowerCAmelCase_ ( UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int , UpperCamelCase__ : int ):
"""simple docstring"""
if exponent == 1:
return base
if exponent % 2 == 0:
__lowercase = _modexpt(UpperCa... | 616 |
"""simple docstring"""
import argparse
import logging
from collections import namedtuple
import torch
from model_bertabs import BertAbsSummarizer
from models.model_builder import AbsSummarizer # The authors' implementation
from transformers import BertTokenizer
logging.basicConfig(level=logging... | 616 | 1 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_ ( UpperCamelCase__ : list[int] , UpperCamelCase__ : list[int] , UpperCamelCase__ : list[int] , UpperCamelCase__ : list[list[str]] , UpperCamelCase__ : int , ):
... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int ):
"""simple docstring"""
assert (
isinstance(UpperCamelCase__ , UpperCamelCase__ ) and number_of_steps > 0
), f'''number_of_steps needs to be positive integer, your input {number_of_s... | 616 | 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/L... | 616 |
"""simple docstring"""
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
from ...test_tokenization_common import TokenizerTesterMixin
@require_tok... | 616 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from diffusers.mod... | 616 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from diffusers.mod... | 616 | 1 |
"""simple docstring"""
import glob
import os
import random
from string import ascii_lowercase, digits
import cva
import numpy as np
# Parrameters
UpperCAmelCase__ =(720, 1280) # Height, Width
UpperCAmelCase__ =(0.4, 0.6) # if height or width lower than this scale, drop it.
UpperCAmelCase... | 616 |
"""simple docstring"""
class lowerCamelCase__ :
def __init__( self : Optional[Any] , A_ : Dict , A_ : str , A_ : Any ):
'''simple docstring'''
__lowercase = None
__lowercase = ... | 616 | 1 |
"""simple docstring"""
import os
import pickle
import unittest
from transformers import AutoTokenizer
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.models.bert_japanese.tokenization_bert_japanese import (
VOCAB_FILES_NAMES,
BertJapaneseTokenizer,
C... | 616 |
"""simple docstring"""
from pathlib import Path
import cva
import numpy as np
from matplotlib import pyplot as plt
def lowerCAmelCase_ ( UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : int... | 616 | 1 |
"""simple docstring"""
from typing import List, Optional
import numpy as np
from ...processing_utils import ProcessorMixin
from ...utils import to_numpy
class lowerCamelCase__ ( _a ):
a : Dict = """EncodecFeatureExtractor"""
a : str = ("""T5T... | 616 |
"""simple docstring"""
from PIL import Image
def lowerCAmelCase_ ( UpperCamelCase__ : Image , UpperCamelCase__ : int ):
"""simple docstring"""
__lowercase = (259 * (level + 255)) / (255 * (259 - level))
def contrast(UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def lowerCAmelCase_ ( ):
"""simple docstring"""
__lowercase = HfArgumentParser(UpperCamelCase__ )
__lowercase = parser.parse_args_... | 616 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
UpperCAmelCase__ =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))
import check_copies # noqa:... | 616 | 1 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings... | 616 |
"""simple docstring"""
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import Tensor, nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, ad... | 616 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase__ =logging.get_logger(__name__)
UpperCAmelCase__ ={
"weiweishi/roc-bert-base-zh": "https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json",
}
... | 616 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_ ( UpperCamelCase__ : list[float] , UpperCamelCase__ : Any ):
"""simple docstring"""
print(f'''Vertex\tShortest Distance from vertex {src}''' )
for i, d in enumerate(Upp... | 616 | 1 |
"""simple docstring"""
import json
from typing import Iterator, List, Union
from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.proce... | 616 |
"""simple docstring"""
import os
import time
import warnings
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...tokenization_utils_base import PreTrainedToke... | 616 | 1 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available()):
raise OptionalDependencyNotAvailable()
ex... | 616 |
"""simple docstring"""
from collections import OrderedDict
from typing import Any, List, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import log... | 616 | 1 |
"""simple docstring"""
import inspect
import os
import sys
import unittest
import accelerate
from accelerate.test_utils import execute_subprocess_async, require_tpu
class lowerCamelCase__ ( unittest.TestCase ):
def SCREAMING_SNAKE_CASE_ ( self : Optional[int] ... | 616 |
"""simple docstring"""
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def lowerCAmelCase_ ( ):
"""simple docstring"""
wit... | 616 | 1 |
"""simple docstring"""
from ..utils import (
OptionalDependencyNotAvailable,
is_flax_available,
is_scipy_available,
is_torch_available,
is_torchsde_available,
)
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDepende... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : list , UpperCamelCase__ : int , UpperCamelCase__ : int = 0 , UpperCamelCase__ : int = 0 ):
"""simple docstring"""
__lowercase = right or len(UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
import argparse
from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
from transformers.utils import logging
logging.set_verbosity_info()
def lowerCAmelCase_ ( UpperCamelCase__ : Optional[int] , UpperCamelCase__ : Dict ... | 616 |
"""simple docstring"""
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ ... | 616 | 1 |
"""simple docstring"""
import inspect
import unittest
from datasets import load_dataset
from packaging import version
from transformers import BeitConfig
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow... | 616 |
"""simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
... | 616 | 1 |
"""simple docstring"""
import doctest
import glob
import importlib
import inspect
import os
import re
from contextlib import contextmanager
from functools import wraps
from unittest.mock import patch
import numpy as np
import pytest
from absl.testing import parameterized
import datasets
from d... | 616 |
"""simple docstring"""
import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch
import multiprocess
import numpy as np
import pytest
from datasets.utils.py_utils import (
NestedDataStructure,
asdict,
... | 616 | 1 |
"""simple docstring"""
from __future__ import annotations
from dataclasses import dataclass
@dataclass
class lowerCamelCase__ :
a : float
a : TreeNode | None = None
a : TreeNode | None = None
def lowerCAmelCase_ ( UpperCa... | 616 |
"""simple docstring"""
from typing import Optional
from urllib.parse import quote
import huggingface_hub as hfh
from packaging import version
def lowerCAmelCase_ ( UpperCamelCase__ : str , UpperCamelCase__ : str , UpperCamelCase__ : Optional[str] = None ):
... | 616 | 1 |
"""simple docstring"""
import sys
import turtle
def lowerCAmelCase_ ( UpperCamelCase__ : tuple[float, float] , UpperCamelCase__ : tuple[float, float] ):
"""simple docstring"""
return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2
def lowerCAmelCase_ ... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : int ):
"""simple docstring"""
if n == 0:
return 1
elif n % 2 == 1:
return (binary_exponentiation... | 616 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
from diffusers.utils.testing_utils import (
is_onnx_available,
load_image,
load_numpy,
nightly,
require_onnxruntime,
require_torch_gpu,
)
if is_onn... | 616 |
"""simple docstring"""
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available... | 616 | 1 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transform... | 616 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze... | 616 | 1 |
"""simple docstring"""
# Copyright 2022 The HuggingFace Team and The OpenBMB Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apach... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int ):
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(UpperCamelCase__ , x % y )
def lowerCAmelCase_ ( UpperCamelCase__ ... | 616 | 1 |
"""simple docstring"""
from scipy.stats import spearmanr
import datasets
UpperCAmelCase__ ="\nThe Spearman rank-order correlation coefficient is a measure of the\nrelationship between two datasets. Like other correlation coefficients,\nthis one varies between -1 and +1 with 0 implying no correlatio... | 616 |
"""simple docstring"""
import argparse
import logging
from collections import namedtuple
import torch
from model_bertabs import BertAbsSummarizer
from models.model_builder import AbsSummarizer # The authors' implementation
from transformers import BertTokenizer
logging.basicConfig(level=logging... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int ):
"""simple docstring"""
if num < 0:
return False
__lowercase = num
__lowercase = 0
while num > 0:
__lowercase = rev_num * 10 + (num % 10)
num //= 10
... | 616 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int ):
"""simple docstring"""
assert (
isinstance(UpperCamelCase__ , UpperCamelCase__ ) and number_of_steps > 0
), f'''number_of_steps needs to be positive integer, your input {number_of_s... | 616 | 1 |
"""simple docstring"""
import json
import re
from typing import TYPE_CHECKING, List, Optional, Tuple, Union
import numpy as np
from ...utils import is_tf_available, is_torch_available, logging
if TYPE_CHECKING:
if is_torch_available():
import torch
if is_tf_available... | 616 |
"""simple docstring"""
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
from ...test_tokenization_common import TokenizerTesterMixin
@require_tok... | 616 | 1 |
"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFGPTaLMHeadModel, is_keras_nlp_available, is_tf_available
from transformers.models.gpta.tokenization_gpta import GPTaTokenizer
from transformers.testing_utils imp... | 616 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from diffusers.mod... | 616 | 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 lowerCamelC... | 616 |
"""simple docstring"""
class lowerCamelCase__ :
def __init__( self : Optional[Any] , A_ : Dict , A_ : str , A_ : Any ):
'''simple docstring'''
__lowercase = None
__lowercase = ... | 616 | 1 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int ):
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(UpperCamelCase__ , x % y )
def lowerCAmelCase_ ( UpperCamelCase__ ... | 616 |
"""simple docstring"""
from pathlib import Path
import cva
import numpy as np
from matplotlib import pyplot as plt
def lowerCAmelCase_ ( UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : int... | 616 | 1 |
import numpy as np
import qiskit
def __lowercase ( snake_case = 8, snake_case = None ):
"""simple docstring"""
__magic_name__ :List[Any] = np.random.default_rng(seed=snake_case )
# Roughly 25% of the qubits will contribute to the key.
# So we take more than we ne... | 0 |
"""simple docstring"""
from PIL import Image
def lowerCAmelCase_ ( UpperCamelCase__ : Image , UpperCamelCase__ : int ):
"""simple docstring"""
__lowercase = (259 * (level + 255)) / (255 * (259 - level))
def contrast(UpperCamelCase__ ... | 616 | 0 |
from datetime import datetime
import requests
def _A ( _lowercase ) -> bytes:
"""simple docstring"""
__UpperCamelCase = 'https://downloadgram.net/wp-json/wppress/video-downloader/video?url='
__UpperCamelCase = requests.get(base_url + url ).json()[0]['urls'][0]... | 1 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
UpperCAmelCase__ =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))
import check_copies # noqa:... | 616 | 0 |
import argparse
import os
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
from accelerate import ... | 2 |
"""simple docstring"""
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import Tensor, nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, ad... | 616 | 0 |
'''simple docstring'''
lowerCAmelCase : List[Any] = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowerCAmelCase : int = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowerCAmelCase : List[Any] = {
0: 'Sunday',
1: 'Monday',
2: 'Tuesday',
3: 'Wednesday',
4: ... | 3 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_ ( UpperCamelCase__ : list[float] , UpperCamelCase__ : Any ):
"""simple docstring"""
print(f'''Vertex\tShortest Distance from vertex {src}''' )
for i, d in enumerate(Upp... | 616 | 0 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class a ( metaclass=a__ ):
snake_case__ = ['''flax''', '''transformers''']
def __init__( self , *_snake_case , **_snake_case ):
"""simple docstring"""
r... | 4 |
"""simple docstring"""
import os
import time
import warnings
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...tokenization_utils_base import PreTrainedToke... | 616 | 0 |
'''simple docstring'''
import argparse
import json
import os
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
fr... | 5 |
"""simple docstring"""
from collections import OrderedDict
from typing import Any, List, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import log... | 616 | 0 |
class UpperCamelCase_ :
def __init__( self :int , __A :list ) -> None:
"""simple docstring"""
SCREAMING_SNAKE_CASE__ = set_counts
SCREAMING_SNAKE_CASE__ = max(__A )
SCREAMING_SNAKE_CASE__ = len(__A )
... | 6 |
"""simple docstring"""
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def lowerCAmelCase_ ( ):
"""simple docstring"""
wit... | 616 | 0 |
"""simple docstring"""
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a = logging.get_logger(__name__)
a = {
'''BAAI/AltCLIP''': '''https://huggingface.co/BAAI/AltCLIP/resolve/main/config.json'... | 7 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : list , UpperCamelCase__ : int , UpperCamelCase__ : int = 0 , UpperCamelCase__ : int = 0 ):
"""simple docstring"""
__lowercase = right or len(UpperCamelCase__ ... | 616 | 0 |
'''simple docstring'''
def _lowerCAmelCase ( __snake_case : int , __snake_case : list ) -> Union[str, Any]:
_enforce_args(__snake_case , __snake_case )
if n == 0:
return 0
__A : Any = float('-inf' )
for... | 8 |
"""simple docstring"""
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ ... | 616 | 0 |
import unittest
from transformers import SPIECE_UNDERLINE, XLNetTokenizer, XLNetTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from ...test_tokenization_common import TokenizerTesterMixin
SCREAMING_SNAKE_CASE__ = get_tests_dir('''fixtur... | 9 |
"""simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
... | 616 | 0 |
from typing import Dict, Iterable, 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_dimension_format... | 10 |
"""simple docstring"""
import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch
import multiprocess
import numpy as np
import pytest
from datasets.utils.py_utils import (
NestedDataStructure,
asdict,
... | 616 | 0 |
'''simple docstring'''
import unittest
from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch
class __A ( unittest.TestCase ):
'''simple docstring'''
__lowerCamelCase : Tuple = JukeboxTokenizer
__lowerCamelCase : Dict = {... | 11 |
"""simple docstring"""
from typing import Optional
from urllib.parse import quote
import huggingface_hub as hfh
from packaging import version
def lowerCAmelCase_ ( UpperCamelCase__ : str , UpperCamelCase__ : str , UpperCamelCase__ : Optional[str] = None ):
... | 616 | 0 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCamelCase__ : List[Any] = logging.get_logger(__name__)
lowerCamelCase__ : Union[str, Any] = {
"... | 12 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : int ):
"""simple docstring"""
if n == 0:
return 1
elif n % 2 == 1:
return (binary_exponentiation... | 616 | 0 |
'''simple docstring'''
import argparse
import os
from transformers.utils import direct_transformers_import
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_task_guides.py
A__ : Any = """src/transformers"""
A__ : U... | 13 |
"""simple docstring"""
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available... | 616 | 0 |
import os
import random
import sys
from . import cryptomath_module as cryptoMath # noqa: N812
from . import rabin_miller as rabinMiller # noqa: N812
def __UpperCAmelCase ( ) -> None:
"""simple docstring"""
print('''Making key files...''' )
make_key_files('''r... | 14 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze... | 616 | 0 |
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFGPTaLMHeadModel, is_keras_nlp_available, is_tf_available
from transformers.models.gpta.tokenization_gpta import GPTaTokenizer
from transformers.testing_utils import require_keras_nlp, req... | 15 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int ):
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(UpperCamelCase__ , x % y )
def lowerCAmelCase_ ( UpperCamelCase__ ... | 616 | 0 |
def __a ( A__ : int = 2000000 ):
SCREAMING_SNAKE_CASE = [0 for i in range(n + 1 )]
SCREAMING_SNAKE_CASE = 1
SCREAMING_SNAKE_CASE = 1
for i in range(2 , int(n**0.5 ) + 1 ):
if primality_list[i] == 0:
... | 16 |
"""simple docstring"""
import argparse
import logging
from collections import namedtuple
import torch
from model_bertabs import BertAbsSummarizer
from models.model_builder import AbsSummarizer # The authors' implementation
from transformers import BertTokenizer
logging.basicConfig(level=logging... | 616 | 0 |
import json
import logging
import os
import socket
import git
import numpy as np
import torch
logging.basicConfig(
format='''%(asctime)s - %(levelname)s - %(name)s - PID: %(process)d - %(message)s''',
datefmt='''%m/%d/%Y %H:%M:%S''',
level=logging.INFO,
)
UpperCAmelCase_ : List[str] = lo... | 17 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int ):
"""simple docstring"""
assert (
isinstance(UpperCamelCase__ , UpperCamelCase__ ) and number_of_steps > 0
), f'''number_of_steps needs to be positive integer, your input {number_of_s... | 616 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
_SCREAMING_SNAKE_CASE = {
"configuration_biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig"],
"tokenization_bi... | 18 |
"""simple docstring"""
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
from ...test_tokenization_common import TokenizerTesterMixin
@require_tok... | 616 | 0 |
"""simple docstring"""
import argparse
import json
import os
import torch
from torch import nn
from transformers import NllbMoeConfig, NllbMoeModel
from transformers.modeling_utils import dtype_byte_size
from transformers.utils import WEIGHTS_INDEX_NAME, WEIGHTS_NAME
def lowerCamelCase__... | 19 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from diffusers.mod... | 616 | 0 |
def _lowercase( __a : float , __a : float ):
if density <= 0:
raise ValueError('Impossible fluid density' )
if bulk_modulus <= 0:
raise ValueError('Impossible bulk modulus' )
return (bulk_modulus / density) ** 0.5
if __name... | 20 |
"""simple docstring"""
class lowerCamelCase__ :
def __init__( self : Optional[Any] , A_ : Dict , A_ : str , A_ : Any ):
'''simple docstring'''
__lowercase = None
__lowercase = ... | 616 | 0 |
import json
from typing import List, Optional, Tuple
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartToken... | 21 |
"""simple docstring"""
from pathlib import Path
import cva
import numpy as np
from matplotlib import pyplot as plt
def lowerCAmelCase_ ( UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : np.ndarray , UpperCamelCase__ : int... | 616 | 0 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyImgaImgPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffu... | 22 |
"""simple docstring"""
from PIL import Image
def lowerCAmelCase_ ( UpperCamelCase__ : Image , UpperCamelCase__ : int ):
"""simple docstring"""
__lowercase = (259 * (level + 255)) / (255 * (259 - level))
def contrast(UpperCamelCase__ ... | 616 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
snake_case__ : str = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_... | 23 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
UpperCAmelCase__ =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))
import check_copies # noqa:... | 616 | 0 |
'''simple docstring'''
from __future__ import annotations
from math import pi, sqrt
def _UpperCamelCase (_lowerCamelCase : float , _lowerCamelCase : float )-> tuple:
'''simple docstring'''
if inductance <= 0:
raise ValueError('''Inductance cannot be... | 24 |
"""simple docstring"""
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import Tensor, nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, ad... | 616 | 0 |
# Note: if you intend to run this script make sure you look under scripts/fsmt/
# to locate the appropriate script to do the work correctly. There is a set of scripts to:
# - download and prepare data and run the conversion script
# - perform eval to get the best hparam into the config
# - generate model_cards - usef... | 25 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_ ( UpperCamelCase__ : list[float] , UpperCamelCase__ : Any ):
"""simple docstring"""
print(f'''Vertex\tShortest Distance from vertex {src}''' )
for i, d in enumerate(Upp... | 616 | 0 |
'''simple docstring'''
def _a ( _lowerCamelCase , _lowerCamelCase ) -> list[str]:
"""simple docstring"""
return [sentence[i : i + ngram_size] for i in range(len(_lowerCamelCase ) - ngram_size + 1 )]
if __name__ == "__main__":
from doctest import te... | 26 |
"""simple docstring"""
import os
import time
import warnings
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...tokenization_utils_base import PreTrainedToke... | 616 | 0 |
def __lowerCAmelCase( _SCREAMING_SNAKE_CASE ) -> str:
"""simple docstring"""
_A = 0
# if input_string is "aba" than new_input_string become "a|b|a"
_A = ''
_A = ''
# append each character + "|" in new_string f... | 27 |
"""simple docstring"""
from collections import OrderedDict
from typing import Any, List, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import log... | 616 | 0 |
'''simple docstring'''
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging
UpperCam... | 28 |
"""simple docstring"""
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def lowerCAmelCase_ ( ):
"""simple docstring"""
wit... | 616 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
A_ = {
"""configuration_nllb_moe""": [
"""NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP""",
"""NllbMoeConfig""",
]
}
try:
if not is_tor... | 29 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : list , UpperCamelCase__ : int , UpperCamelCase__ : int = 0 , UpperCamelCase__ : int = 0 ):
"""simple docstring"""
__lowercase = right or len(UpperCamelCase__ ... | 616 | 0 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
BertTokenizer,
ViltConfig,
ViltForImageAndTextRetrieval,
ViltForImagesAndTextClassification,
ViltForMaskedLM,
Vilt... | 30 |
"""simple docstring"""
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ ... | 616 | 0 |
import pytest
from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested
from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows
def UpperCAmelCase_ ( __UpperCAmelCase : str ) -> Tuple: # picklable for mul... | 31 |
"""simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
... | 616 | 0 |
from typing import List
from .keymap import KEYMAP, get_character
def A__ ( SCREAMING_SNAKE_CASE_ : str ) -> List[str]:
"""simple docstring"""
def decorator(SCREAMING_SNAKE_CASE_ : List[Any] ):
_UpperCAmelCase = getattr(SCREAMING_SNAKE_... | 32 |
"""simple docstring"""
import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch
import multiprocess
import numpy as np
import pytest
from datasets.utils.py_utils import (
NestedDataStructure,
asdict,
... | 616 | 0 |
from collections.abc import Sequence
def SCREAMING_SNAKE_CASE ( __lowerCAmelCase , __lowerCAmelCase = False ) -> float:
if not arr:
return 0
snake_case__ = 0 if allow_empty_subarrays else float('''-inf''' )
snake_case__ = 0.0
for num in arr:
s... | 33 |
"""simple docstring"""
from typing import Optional
from urllib.parse import quote
import huggingface_hub as hfh
from packaging import version
def lowerCAmelCase_ ( UpperCamelCase__ : str , UpperCamelCase__ : str , UpperCamelCase__ : Optional[str] = None ):
... | 616 | 0 |
"""simple docstring"""
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import BaseOutput, is_torch_available, is_transformers_available
@dataclass
class snake_case_ ( lowerCamelCas... | 34 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : Union[str, Any] , UpperCamelCase__ : int ):
"""simple docstring"""
if n == 0:
return 1
elif n % 2 == 1:
return (binary_exponentiation... | 616 | 0 |
import argparse
import importlib
from pathlib import Path
# Test all the extensions added in the setup
a_ :Optional[int] = [
'kernels/rwkv/wkv_cuda.cu',
'kernels/rwkv/wkv_op.cpp',
'kernels/deformable_detr/ms_deform_attn.h',
'kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh',
'mo... | 35 |
"""simple docstring"""
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available... | 616 | 0 |
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_available():
i... | 36 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze... | 616 | 0 |
import math
from datetime import datetime, timedelta
def UpperCamelCase_ ( __a ) -> datetime:
a__ : Union[str, Any] = year % 19
a__ : List[str] = year % 4
a__ : str = year % 7
a__ : Any = math.floor(year / 100 )
a__ : List[str] = m... | 37 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int , UpperCamelCase__ : int ):
"""simple docstring"""
return x if y == 0 else greatest_common_divisor(UpperCamelCase__ , x % y )
def lowerCAmelCase_ ( UpperCamelCase__ ... | 616 | 0 |
'''simple docstring'''
import json
import os
import unittest
from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import ... | 38 |
"""simple docstring"""
import argparse
import logging
from collections import namedtuple
import torch
from model_bertabs import BertAbsSummarizer
from models.model_builder import AbsSummarizer # The authors' implementation
from transformers import BertTokenizer
logging.basicConfig(level=logging... | 616 | 0 |
import os
import unittest
from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class snake_case_ ( __A , unittest.TestCase ):
'''simple docstring'... | 39 |
"""simple docstring"""
def lowerCAmelCase_ ( UpperCamelCase__ : int ):
"""simple docstring"""
assert (
isinstance(UpperCamelCase__ , UpperCamelCase__ ) and number_of_steps > 0
), f'''number_of_steps needs to be positive integer, your input {number_of_s... | 616 | 0 |
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