code stringlengths 81 54k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
'''simple docstring'''
from __future__ import annotations
from dataclasses import dataclass
@dataclass
class lowerCamelCase :
'''simple docstring'''
lowerCAmelCase__ = 42
lowerCAmelCase__ = None
lowerCAmelCase__ = None
def __lowerCamelCase ( _Upp... | 43 | '''simple docstring'''
import unittest
from typing import Dict, List, Optional, Union
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMix... | 43 | 1 |
'''simple docstring'''
import math
from typing import Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import... | 43 | '''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import is_tensorflow_text_available, is_tf_available
from transformers.testing_utils import require_tensorflow_text, require_tf, slow
f... | 43 | 1 |
'''simple docstring'''
lowercase__ : Union[str, Any] = "\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
lowercase__ : str = [{"type": "code", "con... | 43 | '''simple docstring'''
from collections.abc import Callable
def __lowerCamelCase ( _UpperCamelCase : Callable[[float], float] , _UpperCamelCase : float , _UpperCamelCase : float ):
'''simple docstring'''
UpperCAmelCase_ = a
UpperCAmelCase_ ... | 43 | 1 |
'''simple docstring'''
import datasets
import faiss
import numpy as np
import streamlit as st
import torch
from elasticsearch import Elasticsearch
from elia_utils import (
embed_questions_for_retrieval,
make_qa_sas_model,
qa_sas_generate,
query_es_index,
query_qa_dense_index,
)
import transformers
... | 43 | '''simple docstring'''
import re
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple docstring'''
return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''' , str_ )]
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple d... | 43 | 1 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import is_flax_available
from transformers.testing_utils import require_flax
from ..test_modeling_flax_common import ids_tensor
if is_flax_available():
import jax
import jax.numpy as jnp
from transformers.generation impo... | 43 | '''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_... | 43 | 1 |
'''simple docstring'''
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
lowerCAmelCase__ = ['''image_processor''', '''tokenizer''']
lowerCAmelCase__ ... | 43 | '''simple docstring'''
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
lowercase__ : Tuple = pytest.mark.integration
@pytest.mark.parametrize('... | 43 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : str = logging.get_logger(__name__)
lowercase__ : Tuple = {
"sayakpaul/vit-msn-base": "https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json",
... | 43 | '''simple docstring'''
import collections
import os
import re
from pathlib import Path
lowercase__ : List[Any] = "src/transformers"
# Matches is_xxx_available()
lowercase__ : Optional[Any] = re.compile(R"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
lowerc... | 43 | 1 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class lowerCamelCase ( metaclass=lowerCamelCase ):
'''simple docstring'''
lowerCAmelCase__ = ['''flax''', '''transformers''']
def __init__( self : int , *UpperCAmelCase__ : ... | 43 | '''simple docstring'''
from __future__ import annotations
def __lowerCamelCase ( _UpperCamelCase : tuple[int, int] , _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ , UpperCAmelCase_ = position
UpperCAmelCase_ = [
... | 43 | 1 |
'''simple docstring'''
from tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import MagicMock, patch
from transformers import AutoModel, TFAutoModel
from transformers.onnx import FeaturesManager
from transformers.testing_utils import SMALL_MODEL_IDENTIFIER, require_tf, require_torch
... | 43 | '''simple docstring'''
from __future__ import annotations
from typing import TypedDict
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
lowerCAmelCase__ = 42
lowerCAmelCase__ = 42
def __lowerCamelCase ( _UpperCamelCase : str ):
... | 43 | 1 |
'''simple docstring'''
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | 43 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowercase__ : Union[str, Any] = {
"configuration_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_A... | 43 | 1 |
'''simple docstring'''
import os
import tempfile
import unittest
from transformers import NezhaConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
from ...generation.test_utils import GenerationTesterMix... | 43 | '''simple docstring'''
lowercase__ : Union[str, Any] = "\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
lowercase__ : str = [{"type": "code", "con... | 43 | 1 |
'''simple docstring'''
from math import pi, sqrt, tan
def __lowerCamelCase ( _UpperCamelCase : float ):
'''simple docstring'''
if side_length < 0:
raise ValueError('''surface_area_cube() only accepts non-negative values''' )
return 6 * side_length**2
def __... | 43 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowercase__ : Optional[Any] = {
"configuration_encodec": [
"ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
"EncodecConfig",
]... | 43 | 1 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from transformers.utils import is_vision_available
from transformers.utils.generic import TensorType
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
cen... | 43 | '''simple docstring'''
from heapq import heappop, heappush
import numpy as np
def __lowerCamelCase ( _UpperCamelCase : np.ndarray , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : bool , ):
'''simple docstring'... | 43 | 1 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : int , _UpperCamelCase : list ):
'''simple docstring'''
_enforce_args(_UpperCamelCase , _UpperCamelCase )
if n == 0:
return 0
UpperCAmelCase_ = float('''-inf''' ... | 43 | '''simple docstring'''
import json
import os
import unittest
from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTesterMixin
class lowerCamelCase ( lowerCamelCase , unittest.... | 43 | 1 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : int = 1000 ):
'''simple docstring'''
UpperCAmelCase_ = 2**power
UpperCAmelCase_ = str(_UpperCamelCase )
UpperCAmelCase_ = list(_UpperCamelCase )
UpperCAmelCase_... | 43 | '''simple docstring'''
from datetime import datetime
import matplotlib.pyplot as plt
import torch
def __lowerCamelCase ( _UpperCamelCase : Union[str, Any] ):
'''simple docstring'''
for param in module.parameters():
UpperCAmelCase_ = False
def __lowerCame... | 43 | 1 |
'''simple docstring'''
from __future__ import annotations
import math
def __lowerCamelCase ( _UpperCamelCase : int , _UpperCamelCase : int , _UpperCamelCase : bool , _UpperCamelCase : list[int] , _UpperCamelCase : float ):
'''simple docstring'''
... | 43 | '''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_determinism()
@slow
@require... | 43 | 1 |
'''simple docstring'''
import argparse
import json
from collections import OrderedDict
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import PoolFormerConfig, PoolFormerForImageClassification, PoolFormerImageProcessor
from tran... | 43 | '''simple docstring'''
import json
import os
import unittest
from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cach... | 43 | 1 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : str = "The quick brown fox jumps over the lazy dog" , ):
'''simple docstring'''
UpperCAmelCase_ = set()
# Replace all the whitespace in our sentence
UpperCAmelCase_ = input_str.rep... | 43 | '''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : str , _UpperCamelCase : list[str] ):
'''simple docstring'''
UpperCAmelCase_ = ''''''
for word_or_phrase in separated:
if not isinstance(_UpperCamelCase , _UpperCamelCase ... | 43 | 1 |
'''simple docstring'''
import os
import unittest
from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
VOCAB_FILES_NAMES,
BasicTokenizer,
BertTokenizer,
WordpieceTokenizer,
_is_control,
_is_punctuation,
_is_whitespace,
)
from transformers.testin... | 43 | '''simple docstring'''
import math
from typing import Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import... | 43 | 1 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
lowercase__ : Dict = logging.get_logger(__name__)
lowercase__ ... | 43 | '''simple docstring'''
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : int = logging.get_logger(__name__)
lowercase__ : List[str] = {
"huggingface/time-series-transformer-tourism-monthly": (... | 43 | 1 |
'''simple docstring'''
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | 43 | '''simple docstring'''
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig
lowercase__ : Dict = logging.get_logger(__name__)
lowercase__ : List[Any] = "T5Config"
class ... | 43 | 1 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class lowerCamelCase :
'''simple docstring'''
lowerCAmelCase__ = 42
lowerCAmelCase__ ... | 43 | '''simple docstring'''
import comet # From: unbabel-comet
import torch
import datasets
lowercase__ : str = datasets.logging.get_logger(__name__)
lowercase__ : Dict = "\\n@inproceedings{rei-EtAl:2020:WMT,\n author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and ... | 43 | 1 |
'''simple docstring'''
import math
def __lowerCamelCase ( _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ = []
UpperCAmelCase_ = 2
UpperCAmelCase_ = int(math.sqrt(_UpperCamelCase ) ) # Size of every segment
... | 43 | '''simple docstring'''
import unittest
from typing import Dict, List, Optional, Union
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMix... | 43 | 1 |
'''simple docstring'''
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=lowerCamelCase )
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
... | 43 | '''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import is_tensorflow_text_available, is_tf_available
from transformers.testing_utils import require_tensorflow_text, require_tf, slow
f... | 43 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Tuple = logging.get_logger(__name__)
lowercase__ : Optional[Any] = {
"microsoft/swinv2-tiny-patch4-window8-256": (
"https://huggingface.co/microsoft/swin... | 43 | '''simple docstring'''
from collections.abc import Callable
def __lowerCamelCase ( _UpperCamelCase : Callable[[float], float] , _UpperCamelCase : float , _UpperCamelCase : float ):
'''simple docstring'''
UpperCAmelCase_ = a
UpperCAmelCase_ ... | 43 | 1 |
'''simple docstring'''
import json
import os
import unittest
from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTesterMixin
class lowerCamelCase ( lowerCamelCase , ... | 43 | '''simple docstring'''
import re
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple docstring'''
return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''' , str_ )]
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple d... | 43 | 1 |
'''simple docstring'''
from heapq import heappop, heappush
import numpy as np
def __lowerCamelCase ( _UpperCamelCase : np.ndarray , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : bool , ):
'''simple docstring'... | 43 | '''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_... | 43 | 1 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_clip import CLIPImageProcessor
lowercase__ : Union[str, Any] = logging.get_logger(__name__)
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
def __init__( self ... | 43 | '''simple docstring'''
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
lowercase__ : Tuple = pytest.mark.integration
@pytest.mark.parametrize('... | 43 | 1 |
'''simple docstring'''
from __future__ import annotations
from collections import namedtuple
def __lowerCamelCase ( _UpperCamelCase : float , _UpperCamelCase : float , _UpperCamelCase : float ):
'''simple docstring'''
UpperCAmelCase_ = namedtuple('... | 43 | '''simple docstring'''
import collections
import os
import re
from pathlib import Path
lowercase__ : List[Any] = "src/transformers"
# Matches is_xxx_available()
lowercase__ : Optional[Any] = re.compile(R"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
lowerc... | 43 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_tf_available,
is_torch_available,
)
lowercase__ : Dict = {
"configuration_speech_to_text": ["SPE... | 43 | '''simple docstring'''
from __future__ import annotations
def __lowerCamelCase ( _UpperCamelCase : tuple[int, int] , _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ , UpperCAmelCase_ = position
UpperCAmelCase_ = [
... | 43 | 1 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class lowerCamelCase ( unittes... | 43 | '''simple docstring'''
from __future__ import annotations
from typing import TypedDict
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
lowerCAmelCase__ = 42
lowerCAmelCase__ = 42
def __lowerCamelCase ( _UpperCamelCase : str ):
... | 43 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowercase__ : Tuple = {"configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"... | 43 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowercase__ : Union[str, Any] = {
"configuration_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_A... | 43 | 1 |
'''simple docstring'''
import unittest
from parameterized import parameterized
from transformers import LlamaConfig, is_torch_available, set_seed
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common impor... | 43 | '''simple docstring'''
lowercase__ : Union[str, Any] = "\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
lowercase__ : str = [{"type": "code", "con... | 43 | 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 : int , ... | 43 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowercase__ : Optional[Any] = {
"configuration_encodec": [
"ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
"EncodecConfig",
]... | 43 | 1 |
'''simple docstring'''
import json
import os
import unittest
from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cach... | 43 | '''simple docstring'''
from heapq import heappop, heappush
import numpy as np
def __lowerCamelCase ( _UpperCamelCase : np.ndarray , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : bool , ):
'''simple docstring'... | 43 | 1 |
'''simple docstring'''
from __future__ import annotations
import math
lowercase__ : Any = "2020.9.26"
lowercase__ : Optional[Any] = "xcodz-dot, cclaus, dhruvmanila"
def __lowerCamelCase ( _UpperCamelCase : float , _UpperCamelCase : float , _UpperC... | 43 | '''simple docstring'''
import json
import os
import unittest
from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTesterMixin
class lowerCamelCase ( lowerCamelCase , unittest.... | 43 | 1 |
'''simple docstring'''
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig
lowercase__ : Dict = logging.get_logger(__name__)
lowercase__ : List[Any] = "T5Config"
class ... | 43 | '''simple docstring'''
from datetime import datetime
import matplotlib.pyplot as plt
import torch
def __lowerCamelCase ( _UpperCamelCase : Union[str, Any] ):
'''simple docstring'''
for param in module.parameters():
UpperCAmelCase_ = False
def __lowerCame... | 43 | 1 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : Tuple ):
'''simple docstring'''
UpperCAmelCase_ , UpperCAmelCase_ = [], []
while len(_UpperCamelCase ) > 1:
UpperCAmelCase_ , UpperCAmelCase_ = min(_UpperCamelCase ... | 43 | '''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_determinism()
@slow
@require... | 43 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase__ : str = {"configuration_ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig", "IBertOnnxConfig"]}
try:
if not is_torch_available():... | 43 | '''simple docstring'''
import json
import os
import unittest
from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cach... | 43 | 1 |
'''simple docstring'''
import comet # From: unbabel-comet
import torch
import datasets
lowercase__ : Dict = datasets.logging.get_logger(__name__)
lowercase__ : Dict = "\\n@inproceedings{rei-EtAl:2020:WMT,\n author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and... | 700 | '''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : str , _UpperCamelCase : list[str] ):
'''simple docstring'''
UpperCAmelCase_ = ''''''
for word_or_phrase in separated:
if not isinstance(_UpperCamelCase , _UpperCamelCase ... | 43 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase__ : Optional[Any] = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFI... | 701 | '''simple docstring'''
import math
from typing import Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import... | 43 | 0 |
'''simple docstring'''
from graphs.minimum_spanning_tree_kruskal import kruskal
def __lowerCamelCase ( ):
'''simple docstring'''
UpperCAmelCase_ = 9
UpperCAmelCase_ = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
[7, 8, 7],
... | 702 | '''simple docstring'''
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : int = logging.get_logger(__name__)
lowercase__ : List[str] = {
"huggingface/time-series-transformer-tourism-monthly": (... | 43 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : Dict = logging.get_logger(__name__)
lowercase__ : Optional[int] = {
"microsoft/cvt-13": "https://huggingface.co/microsoft/cvt-13/resolve/main/config.json",
#... | 703 | '''simple docstring'''
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig
lowercase__ : Dict = logging.get_logger(__name__)
lowercase__ : List[Any] = "T5Config"
class ... | 43 | 0 |
'''simple docstring'''
from io import BytesIO
from typing import List, Union
import requests
from ..utils import add_end_docstrings, is_decord_available, is_torch_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_decord_available():
import numpy as np
from decord... | 704 | '''simple docstring'''
import comet # From: unbabel-comet
import torch
import datasets
lowercase__ : str = datasets.logging.get_logger(__name__)
lowercase__ : Dict = "\\n@inproceedings{rei-EtAl:2020:WMT,\n author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and ... | 43 | 0 |
'''simple docstring'''
import builtins
import sys
from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP
lowercase__ : Union[str, Any] = False
t... | 705 | '''simple docstring'''
import unittest
from typing import Dict, List, Optional, Union
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMix... | 43 | 0 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import AutoProcessor
from transform... | 706 | '''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import is_tensorflow_text_available, is_tf_available
from transformers.testing_utils import require_tensorflow_text, require_tf, slow
f... | 43 | 0 |
'''simple docstring'''
import gc
import unittest
from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
import jax.numpy as jnp
from flax.jax_utils import rep... | 707 | '''simple docstring'''
from collections.abc import Callable
def __lowerCamelCase ( _UpperCamelCase : Callable[[float], float] , _UpperCamelCase : float , _UpperCamelCase : float ):
'''simple docstring'''
UpperCAmelCase_ = a
UpperCAmelCase_ ... | 43 | 0 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : Tuple ):
'''simple docstring'''
UpperCAmelCase_ = 0
UpperCAmelCase_ = len(__A )
for i in range(n - 1 ):
for j in range(i + 1 , __A ):
... | 708 | '''simple docstring'''
import re
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple docstring'''
return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''' , str_ )]
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple d... | 43 | 0 |
lowercase__ : Optional[Any] = {
'A': ['B', 'C', 'E'],
'B': ['A', 'D', 'E'],
'C': ['A', 'F', 'G'],
'D': ['B'],
'E': ['A', 'B', 'D'],
'F': ['C'],
'G': ['C'],
}
def __lowerCamelCase ( _UpperCamelCase : dict , _UpperCamelCase : Tuple , _Upper... | 709 | '''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_... | 43 | 0 |
'''simple docstring'''
import argparse
import os
import torch
from diffusers import (
CMStochasticIterativeScheduler,
ConsistencyModelPipeline,
UNetaDModel,
)
lowercase__ : Tuple = {
"sample_size": 32,
"in_channels": 3,
"out_channels": 3,
"layers_per_block": 2,
"num_... | 710 | '''simple docstring'''
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
lowercase__ : Tuple = pytest.mark.integration
@pytest.mark.parametrize('... | 43 | 0 |
'''simple docstring'''
from __future__ import annotations
def __lowerCamelCase ( _UpperCamelCase : list[int] , _UpperCamelCase : int ):
'''simple docstring'''
if len(_lowerCAmelCase ) == 0:
return False
UpperCAmelCase_ = len(_lowerCAmelCa... | 711 | '''simple docstring'''
import collections
import os
import re
from pathlib import Path
lowercase__ : List[Any] = "src/transformers"
# Matches is_xxx_available()
lowercase__ : Optional[Any] = re.compile(R"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
lowerc... | 43 | 0 |
'''simple docstring'''
import contextlib
import os
import sqlitea
import pytest
from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy
def __lowerCamelC... | 712 | '''simple docstring'''
from __future__ import annotations
def __lowerCamelCase ( _UpperCamelCase : tuple[int, int] , _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ , UpperCAmelCase_ = position
UpperCAmelCase_ = [
... | 43 | 0 |
'''simple docstring'''
from __future__ import annotations
def __lowerCamelCase ( _UpperCamelCase : Optional[Any] , _UpperCamelCase : int ):
'''simple docstring'''
if nth_term == "":
return [""]
UpperCAmelCase_ = int(__UpperCAmelCase )
... | 713 | '''simple docstring'''
from __future__ import annotations
from typing import TypedDict
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
lowerCAmelCase__ = 42
lowerCAmelCase__ = 42
def __lowerCamelCase ( _UpperCamelCase : str ):
... | 43 | 0 |
'''simple docstring'''
lowercase__ : List[Any] = {
"joule": 1.0,
"kilojoule": 1000,
"megajoule": 100_0000,
"gigajoule": 10_0000_0000,
"wattsecond": 1.0,
"watthour": 3600,
"kilowatthour": 360_0000,
"newtonmeter": 1.0,
"calorie_nutr": 4186.8,
"kilocalorie_nutr": 418_6800.... | 714 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowercase__ : Union[str, Any] = {
"configuration_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_A... | 43 | 0 |
'''simple docstring'''
import os
import zipfile
import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links
def __lowerCamelCase ( _UpperCamelCase : Tuple , _UpperCamelCase : Optional[Any]=7 ):
'''simple docstring'''
UpperCAmelCase_ ... | 715 | '''simple docstring'''
lowercase__ : Union[str, Any] = "\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
lowercase__ : str = [{"type": "code", "con... | 43 | 0 |
'''simple docstring'''
from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, Sing... | 716 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowercase__ : Optional[Any] = {
"configuration_encodec": [
"ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
"EncodecConfig",
]... | 43 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
import torch.nn.functional as F
from transformers import (
ClapTextConfig,
ClapTextModelWithProjection,
RobertaTokenizer,
SpeechTaHifiGan,
SpeechTaHifiGanConfig,
)
from diffusers import (
AudioLDMPipeline,
Aut... | 717 | '''simple docstring'''
from heapq import heappop, heappush
import numpy as np
def __lowerCamelCase ( _UpperCamelCase : np.ndarray , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : bool , ):
'''simple docstring'... | 43 | 0 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import torch
import torchaudio
from datasets import load_dataset
from huggingface_hub import hf_hub_download
from transformers import ASTConfig, ASTFeatureExtractor, ASTForAudioClassification
from transformers.utils import logging
logging.s... | 718 | '''simple docstring'''
import json
import os
import unittest
from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTesterMixin
class lowerCamelCase ( lowerCamelCase , unittest.... | 43 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase__ : List[str] = {
'''configuration_resnet''': ['''RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP'... | 719 | '''simple docstring'''
from datetime import datetime
import matplotlib.pyplot as plt
import torch
def __lowerCamelCase ( _UpperCamelCase : Union[str, Any] ):
'''simple docstring'''
for param in module.parameters():
UpperCAmelCase_ = False
def __lowerCame... | 43 | 0 |
'''simple docstring'''
from abc import ABC, abstractmethod
from typing import List, Optional
class lowerCamelCase ( _a ):
'''simple docstring'''
def __init__( self : Tuple ) ->Tuple:
# test for the above condition
self.test()
def lowerCAmelCase__ ( ... | 720 | '''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_determinism()
@slow
@require... | 43 | 0 |
'''simple docstring'''
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torc... | 721 | '''simple docstring'''
import json
import os
import unittest
from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cach... | 43 | 0 |
'''simple docstring'''
from json import JSONDecodeError # Workaround for requests.exceptions.JSONDecodeError
import requests
def __lowerCamelCase ( _UpperCamelCase : str = "isbn/0140328726" ):
'''simple docstring'''
UpperCAmelCase_ = olid.strip().strip('''/''' ) #... | 700 | '''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : str , _UpperCamelCase : list[str] ):
'''simple docstring'''
UpperCAmelCase_ = ''''''
for word_or_phrase in separated:
if not isinstance(_UpperCamelCase , _UpperCamelCase ... | 43 | 0 |
'''simple docstring'''
import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation
def __lowerCamelCase ( _UpperCamelCase : int = 8 ):
'''simple docstring'''
UpperCAmelCase_ = ascii_letter... | 701 | '''simple docstring'''
import math
from typing import Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import... | 43 | 0 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
lowercase__ : List[str] = logging.get_logger(__... | 702 | '''simple docstring'''
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : int = logging.get_logger(__name__)
lowercase__ : List[str] = {
"huggingface/time-series-transformer-tourism-monthly": (... | 43 | 0 |
'''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_onnx_available():
impo... | 703 | '''simple docstring'''
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig
lowercase__ : Dict = logging.get_logger(__name__)
lowercase__ : List[Any] = "T5Config"
class ... | 43 | 0 |
'''simple docstring'''
import gc
import unittest
from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
import jax.numpy as j... | 704 | '''simple docstring'''
import comet # From: unbabel-comet
import torch
import datasets
lowercase__ : str = datasets.logging.get_logger(__name__)
lowercase__ : Dict = "\\n@inproceedings{rei-EtAl:2020:WMT,\n author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and ... | 43 | 0 |
'''simple docstring'''
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class lowerCamelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
lowerCAmelCase__ = (CMStochasticIterativeScheduler,)
lowerCAmelCase__... | 705 | '''simple docstring'''
import unittest
from typing import Dict, List, Optional, Union
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMix... | 43 | 0 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer
lowercase__ : List[Any] = logging.get_l... | 706 | '''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import is_tensorflow_text_available, is_tf_available
from transformers.testing_utils import require_tensorflow_text, require_tf, slow
f... | 43 | 0 |
'''simple docstring'''
import requests
def __lowerCamelCase ( _UpperCamelCase : Any , _UpperCamelCase : List[str] ):
'''simple docstring'''
UpperCAmelCase_ = {'''Content-Type''': '''application/json'''}
UpperCAmelCase_ = requests.post(__snake... | 707 | '''simple docstring'''
from collections.abc import Callable
def __lowerCamelCase ( _UpperCamelCase : Callable[[float], float] , _UpperCamelCase : float , _UpperCamelCase : float ):
'''simple docstring'''
UpperCAmelCase_ = a
UpperCAmelCase_ ... | 43 | 0 |
'''simple docstring'''
import argparse
import torch
from torch import nn
from transformers import MaMaaaConfig, MaMaaaForConditionalGeneration
def __lowerCamelCase ( _UpperCamelCase : Tuple ):
'''simple docstring'''
UpperCAmelCase_ = [
"""encoder.version""",
... | 708 | '''simple docstring'''
import re
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple docstring'''
return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''' , str_ )]
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple d... | 43 | 0 |
import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey
class lowerCamelCase :
'''simple docstring'''
def __init__( self : Dict , UpperCAmelCase__ : List[str] , UpperCAmelCase__ : List[str] , UpperCAmelCase__ : Optio... | 709 | '''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_... | 43 | 0 |
'''simple docstring'''
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase :
'''simple docstring'''
def __init__( self : List[str] ) ->List[str]:
UpperCAmelCase_ = ''''''
UpperCAmelCase_ ... | 710 | '''simple docstring'''
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
lowercase__ : Tuple = pytest.mark.integration
@pytest.mark.parametrize('... | 43 | 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, is_vi... | 711 | '''simple docstring'''
import collections
import os
import re
from pathlib import Path
lowercase__ : List[Any] = "src/transformers"
# Matches is_xxx_available()
lowercase__ : Optional[Any] = re.compile(R"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
lowerc... | 43 | 0 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : str , _UpperCamelCase : List[Any] ):
'''simple docstring'''
assert x is not None
assert y is not None
UpperCAmelCase_ = len(_lowercase )
UpperCAmelCase_ = len(_lowe... | 712 | '''simple docstring'''
from __future__ import annotations
def __lowerCamelCase ( _UpperCamelCase : tuple[int, int] , _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ , UpperCAmelCase_ = position
UpperCAmelCase_ = [
... | 43 | 0 |
'''simple docstring'''
import argparse
import json
import logging
import os
import shutil
import sys
import tempfile
import unittest
from unittest import mock
import torch
from accelerate.utils import write_basic_config
from transformers.testing_utils import TestCasePlus, get_gpu_count, run_command, slow, torch_devic... | 713 | '''simple docstring'''
from __future__ import annotations
from typing import TypedDict
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
lowerCAmelCase__ = 42
lowerCAmelCase__ = 42
def __lowerCamelCase ( _UpperCamelCase : str ):
... | 43 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
lowercase__ : Union[str, Any] = logging.get_logger(__name__)
lowercase__ : Optional[Any] = {
... | 714 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowercase__ : Union[str, Any] = {
"configuration_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_A... | 43 | 0 |
'''simple docstring'''
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel
from ...schedulers import KarrasVeScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class lowerCamelCase ( lowercase__ ):... | 715 | '''simple docstring'''
lowercase__ : Union[str, Any] = "\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
lowercase__ : str = [{"type": "code", "con... | 43 | 0 |
'''simple docstring'''
from abc import ABC, abstractmethod
from typing import Optional, Union
from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike
class lowerCamelCase ( __snake_case ):
'''sim... | 716 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowercase__ : Optional[Any] = {
"configuration_encodec": [
"ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
"EncodecConfig",
]... | 43 | 0 |
'''simple docstring'''
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property... | 717 | '''simple docstring'''
from heapq import heappop, heappush
import numpy as np
def __lowerCamelCase ( _UpperCamelCase : np.ndarray , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : tuple[int, int] , _UpperCamelCase : bool , ):
'''simple docstring'... | 43 | 0 |
'''simple docstring'''
from __future__ import annotations
from decimal import Decimal
from math import * # noqa: F403
from sympy import diff
def __lowerCamelCase ( _UpperCamelCase : Union[str, Any] , _UpperCamelCase : Optional[int] , _UpperCamelCase : str = 10**-10 ):
... | 718 | '''simple docstring'''
import json
import os
import unittest
from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTesterMixin
class lowerCamelCase ( lowerCamelCase , unittest.... | 43 | 0 |
'''simple docstring'''
import argparse
import os
import re
lowercase__ : Optional[Any] = "src/diffusers"
# Pattern that looks at the indentation in a line.
lowercase__ : Any = re.compile(R"^(\s*)\S")
# Pattern that matches `"key":" and puts `key` in group 0.
lowercase__ : Tuple ... | 719 | '''simple docstring'''
from datetime import datetime
import matplotlib.pyplot as plt
import torch
def __lowerCamelCase ( _UpperCamelCase : Union[str, Any] ):
'''simple docstring'''
for param in module.parameters():
UpperCAmelCase_ = False
def __lowerCame... | 43 | 0 |
'''simple docstring'''
import unittest
from knapsack import greedy_knapsack as kp
class lowerCamelCase ( unittest.TestCase ):
'''simple docstring'''
def lowerCAmelCase__ ( self : Optional[int] ) ->Union[str, Any]:
UpperCAmelCase_ = [10, 20, 30, 40, 50, ... | 720 | '''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_determinism()
@slow
@require... | 43 | 0 |
'''simple docstring'''
import itertools
from dataclasses import dataclass
from typing import List, Optional
import pyarrow as pa
import pyarrow.parquet as pq
import datasets
from datasets.table import table_cast
lowercase__ : Any = datasets.utils.logging.get_logger(__name__)
@dataclass
class... | 721 | '''simple docstring'''
import json
import os
import unittest
from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cach... | 43 | 0 |
'''simple docstring'''
import json
import pathlib
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_im... | 700 | '''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : str , _UpperCamelCase : list[str] ):
'''simple docstring'''
UpperCAmelCase_ = ''''''
for word_or_phrase in separated:
if not isinstance(_UpperCamelCase , _UpperCamelCase ... | 43 | 0 |
'''simple docstring'''
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCamelCase ( __snake_case ):
'''simple docstring'''
lowerCAmelCase__ = ['''image_processor''', '''tokenizer''']
lowerCAmelCase__... | 701 | '''simple docstring'''
import math
from typing import Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import... | 43 | 0 |
'''simple docstring'''
import torch
def __lowerCamelCase ( ):
'''simple docstring'''
if torch.cuda.is_available():
UpperCAmelCase_ = torch.cuda.device_count()
else:
UpperCAmelCase_ = 0
print(F"""Successfully ran on {num_gpus} GP... | 702 | '''simple docstring'''
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ : int = logging.get_logger(__name__)
lowercase__ : List[str] = {
"huggingface/time-series-transformer-tourism-monthly": (... | 43 | 0 |
'''simple docstring'''
from __future__ import annotations
import math
import random
from collections.abc import Collection
from typing import overload
class lowerCamelCase :
'''simple docstring'''
def __init__( self : Any , UpperCAmelCase__ : List[Any] = None ) -... | 703 | '''simple docstring'''
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig
lowercase__ : Dict = logging.get_logger(__name__)
lowercase__ : List[Any] = "T5Config"
class ... | 43 | 0 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple docstring'''
UpperCAmelCase_ = hex_num.strip()
if not hex_num:
raise ValueError('''No value was passed to the function''' )
UpperCAmelCase_ = hex_num[... | 704 | '''simple docstring'''
import comet # From: unbabel-comet
import torch
import datasets
lowercase__ : str = datasets.logging.get_logger(__name__)
lowercase__ : Dict = "\\n@inproceedings{rei-EtAl:2020:WMT,\n author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and ... | 43 | 0 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax
import jax.numpy as jnp
from ..configuration_utils import ConfigMixin, register_to_config
from .scheduling_utils_flax import (
CommonSchedulerState,
FlaxKarrasDiffusionSchedulers,
Flax... | 705 | '''simple docstring'''
import unittest
from typing import Dict, List, Optional, Union
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMix... | 43 | 0 |
'''simple docstring'''
import string
def __lowerCamelCase ( _UpperCamelCase : List[Any] ):
'''simple docstring'''
UpperCAmelCase_ = ""
for i in sequence:
UpperCAmelCase_ = ord(lowercase_ )
if 65 <= extract <= 90:
... | 706 | '''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import is_tensorflow_text_available, is_tf_available
from transformers.testing_utils import require_tensorflow_text, require_tf, slow
f... | 43 | 0 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : Optional[int] , _UpperCamelCase : Optional[int] ):
'''simple docstring'''
return int((input_a, input_a).count(1 ) != 0 )
def __lowerCamelCase ( ):
'''simple docstring'''
as... | 707 | '''simple docstring'''
from collections.abc import Callable
def __lowerCamelCase ( _UpperCamelCase : Callable[[float], float] , _UpperCamelCase : float , _UpperCamelCase : float ):
'''simple docstring'''
UpperCAmelCase_ = a
UpperCAmelCase_ ... | 43 | 0 |
'''simple docstring'''
import shutil
import tempfile
import unittest
from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio
from .test_feature_extraction_clap import floats_list
@requi... | 708 | '''simple docstring'''
import re
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple docstring'''
return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''' , str_ )]
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple d... | 43 | 0 |
from typing import List, Optional, Union
import numpy as np
from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import BatchFeature
from ...utils import PaddingStrategy, TensorType, logging
lowercase__ : str = logging.get_logger(__name__)
... | 709 | '''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_... | 43 | 0 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : int = 1000 ):
'''simple docstring'''
UpperCAmelCase_ = 3
UpperCAmelCase_ = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
result += a
elif a % 15 =... | 710 | '''simple docstring'''
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
lowercase__ : Tuple = pytest.mark.integration
@pytest.mark.parametrize('... | 43 | 0 |
'''simple docstring'''
def __lowerCamelCase ( _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ = int(lowerCamelCase_ )
if n_element < 1:
UpperCAmelCase_ = ValueError('''a should be a positive number''' )
raise... | 711 | '''simple docstring'''
import collections
import os
import re
from pathlib import Path
lowercase__ : List[Any] = "src/transformers"
# Matches is_xxx_available()
lowercase__ : Optional[Any] = re.compile(R"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
lowerc... | 43 | 0 |
'''simple docstring'''
import random
import sys
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap
lowercase__ : Optional[Any] = "Usage of script: script_name <size_of_canvas:int>"
lowercase__ : List[Any] = [0] * 100 + [1] * 10
rando... | 712 | '''simple docstring'''
from __future__ import annotations
def __lowerCamelCase ( _UpperCamelCase : tuple[int, int] , _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ , UpperCAmelCase_ = position
UpperCAmelCase_ = [
... | 43 | 0 |
'''simple docstring'''
import torch
from diffusers import EulerDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class lowerCamelCase ( __lowercase ):
'''simple docstring'''
lowerCAmelCase__ = (EulerDiscreteScheduler,)
lo... | 713 | '''simple docstring'''
from __future__ import annotations
from typing import TypedDict
class lowerCamelCase ( lowerCamelCase ):
'''simple docstring'''
lowerCAmelCase__ = 42
lowerCAmelCase__ = 42
def __lowerCamelCase ( _UpperCamelCase : str ):
... | 43 | 0 |
'''simple docstring'''
import unittest
from transformers import SPIECE_UNDERLINE
from transformers.models.speechta import SpeechTaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.tokenization_utils import AddedToken
from ...test_tokeniza... | 714 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowercase__ : Union[str, Any] = {
"configuration_mobilevit": ["MOBILEVIT_PRETRAINED_CONFIG_A... | 43 | 0 |
'''simple docstring'''
import random
def __lowerCamelCase ( _UpperCamelCase : Union[str, Any] , _UpperCamelCase : int ):
'''simple docstring'''
UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ = [], [], []
for element in data:
... | 715 | '''simple docstring'''
lowercase__ : Union[str, Any] = "\n# Transformers 설치 방법\n! pip install transformers datasets\n# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
lowercase__ : str = [{"type": "code", "con... | 43 | 0 |
'''simple docstring'''
import pytest
from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def __lowerCamelCase ( _UpperCamelCase : str ):
'''simple docstring'''
monkeypatch.setattr('''datasets.utils.deprecation_utils._emitted_deprecation_warnings''' ... | 716 | '''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowercase__ : Optional[Any] = {
"configuration_encodec": [
"ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
"EncodecConfig",
]... | 43 | 0 |
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