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 |
|---|---|---|---|---|
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
if TYPE_CHECKING:
from ... import ... | 324 |
import importlib.metadata
import warnings
from copy import deepcopy
from packaging import version
from ..utils import logging
from .import_utils import is_accelerate_available, is_bitsandbytes_available
if is_bitsandbytes_available():
import bitsandbytes as bnb
import torch
import torch.nn as nn
from ... | 87 | 0 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
A : Optional[Any] = logging.get_logger(__name__)
A : Union[str, Any] = {
"""... | 140 |
from math import sqrt
import numpy as np
from sympy import symbols
# Coefficient
# Speed of light (m/s)
_lowerCamelCase : str = 299792458
# Symbols
_lowerCamelCase , _lowerCamelCase , _lowerCamelCase , _lowerCamelCase : int = symbols("""ct x y z""")
def... | 87 | 0 |
"""simple docstring"""
def A_ ( snake_case__ ) -> list[list[float]]:
_UpperCamelCase :Tuple = []
for data in source_data:
for i, el in enumerate(lowercase_ ):
if len(lowercase_ ) < i + 1:
data_lists.append([] )
data_lists[i].append(float... | 355 |
def SCREAMING_SNAKE_CASE ( lowercase_ ) -> list:
"""simple docstring"""
if len(lowercase_ ) <= 1:
return [tuple(lowercase_ )]
A__ = []
def generate(lowercase_ , lowercase_ ):
if k == 1:
res.append... | 87 | 0 |
import numpy as np
import torch
from torch.nn import CrossEntropyLoss
from transformers import AutoModelForCausalLM, AutoTokenizer
import datasets
from datasets import logging
UpperCamelCase__ = """\
"""
UpperCamelCase__ = """
Perplexity (PPL) is one of the most common metrics fo... | 322 |
import warnings
from typing import Dict
import numpy as np
from ..utils import ExplicitEnum, add_end_docstrings, is_tf_available, is_torch_available
from .base import PIPELINE_INIT_ARGS, GenericTensor, Pipeline
if is_tf_available():
from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_SEQUENCE_CLASSIFICAT... | 87 | 0 |
"""simple docstring"""
import html
from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends
if is_bsa_available():
import bsa
from bsa import BeautifulSoup
__A = logging.get_logger(__name__)
... | 346 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
_lowerCamelCase : Any = {"""configuration_xlnet""": ["""XLNET_PRETRAINED_CONFI... | 87 | 0 |
"""simple docstring"""
from typing import Tuple, Union
from ...modeling_outputs import BackboneOutput
from ...modeling_utils import PreTrainedModel
from ...utils import is_timm_available, is_torch_available, requires_backends
from ...utils.backbone_utils import BackboneMixin
from .configuration_timm_backbon... | 373 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
_lowerCamelCase : Optional[Any] = logging.get_logger(__name__)
_lowerCamelCase : ... | 87 | 0 |
import numpy as np
import torch
import tqdm
from ...models.unet_ad import UNetaDModel
from ...pipelines import DiffusionPipeline
from ...utils import randn_tensor
from ...utils.dummy_pt_objects import DDPMScheduler
class __lowercase ( UpperCAmelCase__ ):
"""sim... | 542 |
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
fro... | 87 | 0 |
'''simple docstring'''
SCREAMING_SNAKE_CASE_ = {
"""meter""": """m""",
"""kilometer""": """km""",
"""megametre""": """Mm""",
"""gigametre""": """Gm""",
"""terametre""": """Tm""",
"""petametre""": """Pm""",
"""exametre""": """Em""",
"""zettametre""": """Zm""",
"""yottametre""... | 517 |
from __future__ import annotations
import requests
def SCREAMING_SNAKE_CASE ( lowercase_ ) -> dict:
"""simple docstring"""
A__ = f"""https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"""
return requests.get(lowercase_ ).json()
def... | 87 | 0 |
'''simple docstring'''
def UpperCamelCase ( a , a ) -> int:
'''simple docstring'''
return int((input_a, input_a).count(1 ) != 0 )
def UpperCamelCase ( ) -> None:
'''simple docstring'''
assert or_gate(0 , 0 ) == 0
assert... | 432 |
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_manager import xopen
from ..table impo... | 87 | 0 |
'''simple docstring'''
from __future__ import annotations
class _snake_case :
def __init__( self , a__ = 0 ) -> List[str]:
'''simple docstring'''
snake_case_ = key
def lowerCAmelCase__ ( self , a__ ... | 400 |
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFMod... | 87 | 0 |
'''simple docstring'''
def lowercase__( _UpperCamelCase : Any , _UpperCamelCase : Optional[Any] , _UpperCamelCase : Optional[Any] , _UpperCamelCase : List[Any] )-> List[str]:
"""simple docstring"""
if height >= 1:
move_tower(height - 1 , lowercase_ , lowerca... | 138 |
import unittest
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 ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_available():
import torc... | 87 | 0 |
import argparse
import json
import os
from collections import OrderedDict
import torch
from transformers import LukeConfig, LukeForMaskedLM, MLukeTokenizer, XLMRobertaTokenizer
from transformers.tokenization_utils_base import AddedToken
@torch.no_grad()
def UpperCamelCase ( _A, _A, _A, ... | 324 |
from math import atan, cos, radians, sin, tan
from .haversine_distance import haversine_distance
_lowerCamelCase : Dict = 6_378_137.0
_lowerCamelCase : Union[str, Any] = 6_356_752.314_245
_lowerCamelCase : List[Any] = 6378137
def SCREAMING_SNAKE_CASE ... | 87 | 0 |
def a__ ( __UpperCamelCase = 1_0_0_0 ):
return sum(e for e in range(3 , lowercase_ ) if e % 3 == 0 or e % 5 == 0 )
if __name__ == "__main__":
print(f"{solution() = }")
| 140 |
import heapq
import sys
import numpy as np
_lowerCamelCase : Any = tuple[int, int]
class UpperCamelCase_ :
'''simple docstring'''
def __init__( self : Any) ->str:
'''simple docstring'''
A__ = []
A__ = ... | 87 | 0 |
"""simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE... | 355 |
# 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
#
# Unless required by appl... | 87 | 0 |
import re
from filelock import FileLock
try:
import nltk
UpperCamelCase__ = True
except (ImportError, ModuleNotFoundError):
UpperCamelCase__ = False
if NLTK_AVAILABLE:
with FileLock('.lock') as lock:
nltk.download('punkt', quiet=True)
def UpperCamelCase__ ( ... | 322 |
import argparse
import numpy as np
import torch
from transformers import SpeechTaHifiGan, SpeechTaHifiGanConfig, logging
logging.set_verbosity_info()
_lowerCamelCase : int = logging.get_logger("""transformers.models.speecht5""")
def SCREAMING_SNAKE_CASE ( lowercase_ , ... | 87 | 0 |
"""simple docstring"""
import unittest
from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from ...test_tokenization_common import TokenizerTesterMixin
__A = get_tests_dir("fixtures/test_sentencepiece_... | 346 |
import unittest
from transformers import BertGenerationConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTest... | 87 | 0 |
"""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/LICEN... | 373 |
import argparse
import json
import os
import time
import zipfile
from get_ci_error_statistics import download_artifact, get_artifacts_links
from transformers import logging
_lowerCamelCase : int = logging.get_logger(__name__)
def SCREAMING_SNAKE_CASE ( lowercase_ , low... | 87 | 0 |
import hashlib
import unittest
from transformers import MODEL_FOR_DEPTH_ESTIMATION_MAPPING, is_torch_available, is_vision_available
from transformers.pipelines import DepthEstimationPipeline, pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
require_tf,
r... | 542 |
class UpperCamelCase_ : # Public class to implement a graph
'''simple docstring'''
def __init__( self : str , UpperCAmelCase__ : int , UpperCAmelCase__ : int , UpperCAmelCase__ : list[list[bool]]) ->None:
'''simple docstring'''... | 87 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
SCREAMING_SNAKE_CASE_ = {
"""configuration_gpt_bigcode""": ["""GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTBigCodeConfig"""],
}
try:
i... | 517 |
from __future__ import annotations
import requests
_lowerCamelCase : str = set(
"""approved_at_utc approved_by author_flair_background_color
author_flair_css_class author_flair_richtext author_flair_template_id author_fullname
author_premium can_mod_post category clicked content_categories c... | 87 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
EncodecConfig,
EncodecFeatureExtractor,
EncodecModel,
logging,
)
# checkpoints downloaded from:
# https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th
# https://huggingface.co/facebook/musicgen-small/... | 432 |
import unittest
from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch
class UpperCamelCase_ ( unittest.TestCase ):
'''simple docstring'''
UpperCAmelCase__ = JukeboxTokenizer
UpperCAmelCase__ = {
'''artist''': '''Z... | 87 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCAmelCase = {"""configuration_plbart""": ["""PLBART_PRETRAINED_CONF... | 88 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import torch
from datasets import load_dataset
from torchvision.transforms import Compose, Lambda, Normalize, RandomHorizontalFlip, RandomResizedCrop, ToTensor
from torchvisio... | 88 | 1 |
"""simple docstring"""
# Lint as: python3
import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING, Dict, Optional
import numpy as np
import pyarrow as pa
from .. import config
from ..utils.logging import get_logger
from ..utils.py_utils import map_nested
from .formatting impo... | 88 |
"""simple docstring"""
import numpy as np
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""
return 1 / (1 + np.exp(-vector ))
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""... | 88 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase = {"""configuration_wavlm""": ["""WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """WavLMConfig"""]}
try:
if not is_torch_available():
raise... | 88 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _snake_case ( ):
"""simple docstring"""
_lowerCamelCase : Any = HfArgumentParser(__snake_case )
_lowerCamelCase : int = parser.pa... | 88 | 1 |
"""simple docstring"""
import numpy as np
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""
return 1 / (1 + np.exp(-vector ))
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""... | 88 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""kssteven/ibe... | 88 | 1 |
"""simple docstring"""
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""facebook/wav2vec2-base-960h""": """https://huggingface.co/facebook/wav2vec... | 88 |
"""simple docstring"""
from __future__ import annotations
import queue
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE) -> int:
_lowerCamelCase : int = data
_lowerCamelCase : List[str] = None
_lowerCamelCase : Any ... | 88 | 1 |
"""simple docstring"""
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def _snake_case ( __snake_case : List[s... | 88 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTest... | 88 | 1 |
"""simple docstring"""
from typing import Any, Dict, Optional
import torch
import torch.nn.functional as F
from torch import nn
from ..utils import maybe_allow_in_graph
from .activations import get_activation
from .attention_processor import Attention
from .embeddings import CombinedTimestepLabelEmbed... | 88 |
"""simple docstring"""
from collections import defaultdict
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : Tuple = first_str.lower().strip()
_lowerCamelCase : int = sec... | 88 | 1 |
"""simple docstring"""
def _snake_case ( __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : Optional[int] = 1
for i in range(1 , num + 1 ):
fact *= i
return fact
def _snake_case ( __snake_case : ... | 88 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def _snake_case ( __snake_case : float , __snake_case : float , __snake_case : bool = False ):
... | 88 | 1 |
"""simple docstring"""
def _snake_case ( __snake_case : list ):
"""simple docstring"""
if any(not isinstance(__snake_case , __snake_case ) or x < 0 for x in sequence ):
raise TypeError("""Sequence must be list of non-negative integers""" )
... | 88 |
"""simple docstring"""
import random
def _snake_case ( __snake_case : List[Any] , __snake_case : List[Any] , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = a[left_index]
_lowerCamelCase... | 88 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""google/realm-cc-news-pretrained-embedder""": (
"""https://huggingface.co/google/realm-cc-news-pretrain... | 88 |
"""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 = """\
@misc{chen2021evaluating,
t... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import DistilBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 88 |
"""simple docstring"""
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
UpperCAmelCase = """\
@misc{wu2016googles,
title={Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation... | 88 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available
UpperCAmelCase = {
"""configuration_longt5""": ["""LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LongT5Config""", """LongT5OnnxConfig"... | 88 |
"""simple docstring"""
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : str = len(__snake_case )
_lowerCamelCase : Union[str, Any] = len(__snake_case )
_lowerCamelC... | 88 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""... | 88 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor
UpperCAmelCase = logging.get_logger(__name__)
class lowercase__ ( A_ ):
def __init__( self , *SCREAMING_SNAKE_CASE ... | 88 | 1 |
"""simple docstring"""
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available
if is_datasets_available():
import datasets
... | 88 |
"""simple docstring"""
from math import isqrt, loga
def _snake_case ( __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
if is_prime[i]:... | 88 | 1 |
"""simple docstring"""
import heapq
import sys
import numpy as np
UpperCAmelCase = tuple[int, int]
class lowercase__ :
def __init__( self) -> Tuple:
_lowerCamelCase : List[Any] = []
_lowerCamelCase : str = set()
def Upp... | 88 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionSAGPipeline,
UNetaDConditionModel,
)
from diffusers.utils impo... | 88 | 1 |
"""simple docstring"""
from cva import destroyAllWindows, imread, imshow, waitKey
def _snake_case ( __snake_case : Optional[int] ):
"""simple docstring"""
_lowerCamelCase , _lowerCamelCase : Any = img.shape[0], img.shape[1]
# converting e... | 88 |
"""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_vision,... | 88 | 1 |
"""simple docstring"""
import argparse
import os
import re
UpperCAmelCase = """src/transformers"""
# Pattern that looks at the indentation in a line.
UpperCAmelCase = re.compile(r"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
UpperCAmelCase = re.co... | 88 |
"""simple docstring"""
from collections import OrderedDict
from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = ... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
import queue
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE) -> int:
_lowerCamelCase : int = data
_lowerCamelCase : List[str] = None
_lowerCamelCase : Any ... | 88 |
"""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
from ... | 88 | 1 |
"""simple docstring"""
from typing import Optional, Union
import torch
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin
class lowercase__ ( A_ ,A_ ):
@register_to_config
def __init... | 88 |
"""simple docstring"""
def _snake_case ( __snake_case : list[list[int]] , __snake_case : int , __snake_case : int , __snake_case : list[int] ):
"""simple docstring"""
if graph[path[curr_ind - 1]][next_ver] == 0:... | 88 | 1 |
"""simple docstring"""
import os
from pathlib import Path
def _snake_case ( ):
"""simple docstring"""
from torch.utils.cpp_extension import load
_lowerCamelCase : Optional[Any] = Path(__snake_case ).resolve().parent.parent.parent / """kernels""" / """de... | 88 |
"""simple docstring"""
import mpmath # for roots of unity
import numpy as np
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE=None , SCREAMING_SNAKE_CASE=None) -> Tuple:
# Input as list
_lowerCamelCase : Any = list(poly_a or [0]... | 88 | 1 |
"""simple docstring"""
import os
import unicodedata
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
UpperCAmelCase = logging.get_logger... | 88 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
UpperCAmelCase = {
"""configuration_vision_encoder_decoder""": ["""VisionEncoderDeco... | 88 | 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/LIC... | 88 |
"""simple docstring"""
from datetime import datetime
import matplotlib.pyplot as plt
import torch
def _snake_case ( __snake_case : List[str] ):
"""simple docstring"""
for param in module.parameters():
_lowerCamelCase : Optional[Any] = Fal... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
def _snake_case ( __snake_case : list[list[int]] ):
"""simple docstring"""
_lowerCamelCase : Dict = len(__snake_case )
# We need to create solution object to save path.
_lowerCamelC... | 88 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import torch
from datasets import load_dataset
from torchvision.transforms import Compose, Lambda, Normalize, RandomHorizontalFlip, RandomResizedCrop, ToTensor
from torchvisio... | 88 | 1 |
"""simple docstring"""
import argparse
import collections
import json
import os
import re
import string
import sys
import numpy as np
UpperCAmelCase = re.compile(r"""\b(a|an|the)\b""", re.UNICODE)
UpperCAmelCase = None
def _snake_case ( ):
"""simple docs... | 88 |
"""simple docstring"""
import numpy as np
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""
return 1 / (1 + np.exp(-vector ))
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""... | 88 | 1 |
"""simple docstring"""
import os
import unicodedata
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 SPIECE_UNDERLINE, logging
UpperCAmelCase = ... | 88 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _snake_case ( ):
"""simple docstring"""
_lowerCamelCase : Any = HfArgumentParser(__snake_case )
_lowerCamelCase : int = parser.pa... | 88 | 1 |
"""simple docstring"""
def _snake_case ( __snake_case : int ):
"""simple docstring"""
if divisor % 5 == 0 or divisor % 2 == 0:
return 0
_lowerCamelCase : Union[str, Any] = 1
_lowerCamelCase : Optional[int] = 1
while repunit:
... | 88 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""kssteven/ibe... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
UpperCAmelCase = [
[-1, 0], # left
[0, -1], # down
[1, 0], # right
[0, 1], # up
]
def _snake_case ( __snake_case : list[list[int]] , __snake_case : list[int] , __snake_case ... | 88 |
"""simple docstring"""
from __future__ import annotations
import queue
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE) -> int:
_lowerCamelCase : int = data
_lowerCamelCase : List[str] = None
_lowerCamelCase : Any ... | 88 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""shi-labs/d... | 88 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTest... | 88 | 1 |
"""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 impor... | 88 |
"""simple docstring"""
from collections import defaultdict
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : Tuple = first_str.lower().strip()
_lowerCamelCase : int = sec... | 88 | 1 |
"""simple docstring"""
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : str = len(__snake_case )
_lowerCamelCase : Union[str, Any] = len(__snake_case )
_lowerCamelC... | 88 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def _snake_case ( __snake_case : float , __snake_case : float , __snake_case : bool = False ):
... | 88 | 1 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
import torch.nn as nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, apply_forward_hook
from .modeling_utils import ModelMixin
from .vae im... | 88 |
"""simple docstring"""
import random
def _snake_case ( __snake_case : List[Any] , __snake_case : List[Any] , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = a[left_index]
_lowerCamelCase... | 88 | 1 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
UpperCAmelCase = logging.get_logger(__name__)
class lowercase__ ( A_ ):
def __init__( self , *SCREAMING_SNAKE_CASE , **S... | 88 |
"""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 = """\
@misc{chen2021evaluating,
t... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Generic, TypeVar
UpperCAmelCase = TypeVar("""T""")
UpperCAmelCase = TypeVar("""U""")
class lowercase__ ( Generic[T, U] ):
def __init__( ... | 88 |
"""simple docstring"""
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
UpperCAmelCase = """\
@misc{wu2016googles,
title={Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation... | 88 | 1 |
"""simple docstring"""
import random
def _snake_case ( __snake_case : List[Any] , __snake_case : List[Any] , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = a[left_index]
_lowerCamelCase... | 88 |
"""simple docstring"""
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : str = len(__snake_case )
_lowerCamelCase : Union[str, Any] = len(__snake_case )
_lowerCamelC... | 88 | 1 |
"""simple docstring"""
from json import JSONDecodeError # Workaround for requests.exceptions.JSONDecodeError
import requests
def _snake_case ( __snake_case : str = "isbn/0140328726" ):
"""simple docstring"""
_lowerCamelCase : Dict = olid.strip()... | 88 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor
UpperCAmelCase = logging.get_logger(__name__)
class lowercase__ ( A_ ):
def __init__( self , *SCREAMING_SNAKE_CASE ... | 88 | 1 |
"""simple docstring"""
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowercase__ ( A_ ):
__UpperCAmelCase = ['''image_processor''', '''tokenizer''']
__UpperCAmelCase = '''AutoImageProcessor'... | 88 |
"""simple docstring"""
from math import isqrt, loga
def _snake_case ( __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
if is_prime[i]:... | 88 | 1 |
"""simple docstring"""
import unittest
from transformers import AutoTokenizer, NystromformerConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_t... | 88 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionSAGPipeline,
UNetaDConditionModel,
)
from diffusers.utils impo... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
def _snake_case ( __snake_case : int , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : list[list[int]] = []
create_all_state(1 , __snake_case , __... | 88 |
"""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_vision,... | 88 | 1 |
"""simple docstring"""
def _snake_case ( __snake_case : list[list[int]] , __snake_case : int , __snake_case : int , __snake_case : list[int] ):
"""simple docstring"""
if graph[path[curr_ind - 1]][next_ver] == 0:... | 88 |
"""simple docstring"""
from collections import OrderedDict
from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = ... | 88 | 1 |
"""simple docstring"""
from math import isqrt, loga
def _snake_case ( __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
if is_prime[i]:... | 88 |
"""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
from ... | 88 | 1 |
"""simple docstring"""
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all feature extractors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, res... | 88 |
"""simple docstring"""
def _snake_case ( __snake_case : list[list[int]] , __snake_case : int , __snake_case : int , __snake_case : list[int] ):
"""simple docstring"""
if graph[path[curr_ind - 1]][next_ver] == 0:... | 88 | 1 |
"""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 = ... | 88 |
"""simple docstring"""
import mpmath # for roots of unity
import numpy as np
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE=None , SCREAMING_SNAKE_CASE=None) -> Tuple:
# Input as list
_lowerCamelCase : Any = list(poly_a or [0]... | 88 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
UpperCAmelCase = {"""configuration_fnet""": ["""FNET_PRETRAINED_CONFIG_A... | 88 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
UpperCAmelCase = {
"""configuration_vision_encoder_decoder""": ["""VisionEncoderDeco... | 88 | 1 |
"""simple docstring"""
import torch
def _snake_case ( ):
"""simple docstring"""
if torch.cuda.is_available():
_lowerCamelCase : Tuple = torch.cuda.device_count()
else:
_lowerCamelCase : str = 0
print(F'Successfully ran on {num_gpus} ... | 88 |
"""simple docstring"""
from datetime import datetime
import matplotlib.pyplot as plt
import torch
def _snake_case ( __snake_case : List[str] ):
"""simple docstring"""
for param in module.parameters():
_lowerCamelCase : Optional[Any] = Fal... | 88 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
UpperCAmelCase = {
"""configuration_vision_encoder_decoder""": ["""VisionEncoderDeco... | 88 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import torch
from datasets import load_dataset
from torchvision.transforms import Compose, Lambda, Normalize, RandomHorizontalFlip, RandomResizedCrop, ToTensor
from torchvisio... | 88 | 1 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor
UpperCAmelCase = logging.get_logger(__name__)
class lowercase__ ( A_ ):
def __init__( self , *SCREAMING_SN... | 88 |
"""simple docstring"""
import numpy as np
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""
return 1 / (1 + np.exp(-vector ))
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""... | 88 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""funnel-transformer/small""": """https://huggingface.co/funnel-transformer/small/resolve/main/config.json""",
... | 88 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _snake_case ( ):
"""simple docstring"""
_lowerCamelCase : Any = HfArgumentParser(__snake_case )
_lowerCamelCase : int = parser.pa... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
from dataclasses import dataclass
@dataclass
class lowercase__ :
__UpperCAmelCase = 42
__UpperCAmelCase = None
__UpperCAmelCase = None
def _snake_case ... | 88 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""kssteven/ibe... | 88 | 1 |
"""simple docstring"""
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 DetrConfig, DetrForObjectDetection, DetrForSegmentation, DetrImageProcessor, ResNetConfig
from transforme... | 88 |
"""simple docstring"""
from __future__ import annotations
import queue
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE) -> int:
_lowerCamelCase : int = data
_lowerCamelCase : List[str] = None
_lowerCamelCase : Any ... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
def _snake_case ( __snake_case : list[int] , __snake_case : int , __snake_case : int , __snake_case : int ):
"""simple docstring"""
if (direction == 1... | 88 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTest... | 88 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""kssteven/ibe... | 88 |
"""simple docstring"""
from collections import defaultdict
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : Tuple = first_str.lower().strip()
_lowerCamelCase : int = sec... | 88 | 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
from ... | 88 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def _snake_case ( __snake_case : float , __snake_case : float , __snake_case : bool = False ):
... | 88 | 1 |
"""simple docstring"""
import argparse
import os
from . import (
ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
BART_PRETRAINED_MODEL_ARCHIVE_LIST,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP,
DISTILBERT_PRETRAINED_CONFI... | 88 |
"""simple docstring"""
import random
def _snake_case ( __snake_case : List[Any] , __snake_case : List[Any] , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = a[left_index]
_lowerCamelCase... | 88 | 1 |
"""simple docstring"""
from __future__ import annotations
def _snake_case ( __snake_case : list[int] , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : Optional[Any] = 0
_lowerCamelCase : Union[str, Any] = le... | 88 |
"""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 = """\
@misc{chen2021evaluating,
t... | 88 | 1 |
"""simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, re... | 88 |
"""simple docstring"""
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
UpperCAmelCase = """\
@misc{wu2016googles,
title={Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation... | 88 | 1 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Ite... | 88 |
"""simple docstring"""
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : str = len(__snake_case )
_lowerCamelCase : Union[str, Any] = len(__snake_case )
_lowerCamelC... | 88 | 1 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
UpperCAmelCase = namedtuple(
"""_TestComma... | 88 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor
UpperCAmelCase = logging.get_logger(__name__)
class lowercase__ ( A_ ):
def __init__( self , *SCREAMING_SNAKE_CASE ... | 88 | 1 |
"""simple docstring"""
import argparse
import torch
from transformers import LxmertConfig, LxmertForPreTraining, load_tf_weights_in_lxmert
from transformers.utils import logging
logging.set_verbosity_info()
def _snake_case ( __snake_case : Tuple , __snake_case : ... | 88 |
"""simple docstring"""
from math import isqrt, loga
def _snake_case ( __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
if is_prime[i]:... | 88 | 1 |
"""simple docstring"""
import json
import os
from dataclasses import dataclass
from functools import partial
from typing import Callable
import flax.linen as nn
import jax
import jax.numpy as jnp
import joblib
import optax
import wandb
from flax import jax_utils, struct, traverse_util
from flax.ser... | 88 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionSAGPipeline,
UNetaDConditionModel,
)
from diffusers.utils impo... | 88 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaControlnetImgaImgPipeline,
KandinskyVaaPriorEmbaEmbPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers... | 88 |
"""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_vision,... | 88 | 1 |
"""simple docstring"""
def _snake_case ( __snake_case : str , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : str = word.split()
def justify(__snake_case : list , __snake_case : int ,... | 88 |
"""simple docstring"""
from collections import OrderedDict
from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = ... | 88 | 1 |
"""simple docstring"""
import unittest
from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property
from ...test_tokenization_common impor... | 88 |
"""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
from ... | 88 | 1 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin,... | 88 |
"""simple docstring"""
def _snake_case ( __snake_case : list[list[int]] , __snake_case : int , __snake_case : int , __snake_case : list[int] ):
"""simple docstring"""
if graph[path[curr_ind - 1]][next_ver] == 0:... | 88 | 1 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
... | 88 |
"""simple docstring"""
import mpmath # for roots of unity
import numpy as np
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE=None , SCREAMING_SNAKE_CASE=None) -> Tuple:
# Input as list
_lowerCamelCase : Any = list(poly_a or [0]... | 88 | 1 |
"""simple docstring"""
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 ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
... | 88 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
UpperCAmelCase = {
"""configuration_vision_encoder_decoder""": ["""VisionEncoderDeco... | 88 | 1 |
"""simple docstring"""
from typing import List, Optional, Tuple, Union
import torch
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class lowercase__ ( A_ ):
def __init__( ... | 88 |
"""simple docstring"""
from datetime import datetime
import matplotlib.pyplot as plt
import torch
def _snake_case ( __snake_case : List[str] ):
"""simple docstring"""
for param in module.parameters():
_lowerCamelCase : Optional[Any] = Fal... | 88 | 1 |
"""simple docstring"""
import os
import unittest
from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir
from ...test_tokenization_common import TokenizerTesterMixin
UpperCAmelCase = get_tests_dir("... | 88 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import torch
from datasets import load_dataset
from torchvision.transforms import Compose, Lambda, Normalize, RandomHorizontalFlip, RandomResizedCrop, ToTensor
from torchvisio... | 88 | 1 |
"""simple docstring"""
import torch
from transformers import AutoModel
class lowercase__ ( torch.nn.Module ):
def __init__( self , SCREAMING_SNAKE_CASE="sayef/fsner-bert-base-uncased") -> str:
super(SCREAMING_SNAKE_CASE , self).__init__()
... | 88 |
"""simple docstring"""
import numpy as np
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""
return 1 / (1 + np.exp(-vector ))
def _snake_case ( __snake_case : np.ndarray ):
"""simple docstring"""... | 88 | 1 |
"""simple docstring"""
def _snake_case ( __snake_case : int , __snake_case : Dict , __snake_case : int , __snake_case : int ):
"""simple docstring"""
global f # a global dp table for knapsack
if f[i][j] < 0... | 88 |
"""simple docstring"""
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def _snake_case ( ):
"""simple docstring"""
_lowerCamelCase : Any = HfArgumentParser(__snake_case )
_lowerCamelCase : int = parser.pa... | 88 | 1 |
"""simple docstring"""
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available
if is_vision_available():
from PIL import Image
from transformers import (
Auto... | 88 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""kssteven/ibe... | 88 | 1 |
"""simple docstring"""
import copy
import unittest
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_common import Con... | 88 |
"""simple docstring"""
from __future__ import annotations
import queue
class lowercase__ :
def __init__( self , SCREAMING_SNAKE_CASE) -> int:
_lowerCamelCase : int = data
_lowerCamelCase : List[str] = None
_lowerCamelCase : Any ... | 88 | 1 |
"""simple docstring"""
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowercase__ ( A_ ):
def __init__( ... | 88 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTest... | 88 | 1 |
"""simple docstring"""
import argparse
import copy
def _snake_case ( __snake_case : Tuple ):
"""simple docstring"""
_lowerCamelCase : str = {}
with open(__snake_case ) as f:
for line in f:
if line.split()[0] not in dict_of_... | 88 |
"""simple docstring"""
from collections import defaultdict
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : Tuple = first_str.lower().strip()
_lowerCamelCase : int = sec... | 88 | 1 |
"""simple docstring"""
import functools
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : int = len(__snake_case )
_lowerCamelCase : List[Any] = len(__snake_case )
... | 88 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def _snake_case ( __snake_case : float , __snake_case : float , __snake_case : bool = False ):
... | 88 | 1 |
"""simple docstring"""
UpperCAmelCase = [
"""Audio""",
"""Array2D""",
"""Array3D""",
"""Array4D""",
"""Array5D""",
"""ClassLabel""",
"""Features""",
"""Sequence""",
"""Value""",
"""Image""",
"""Translation""",
"""TranslationVariableLanguages""",... | 88 |
"""simple docstring"""
import random
def _snake_case ( __snake_case : List[Any] , __snake_case : List[Any] , __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = a[left_index]
_lowerCamelCase... | 88 | 1 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer imp... | 88 |
"""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 = """\
@misc{chen2021evaluating,
t... | 88 | 1 |
"""simple docstring"""
import random
from typing import Any
def _snake_case ( __snake_case : list ):
"""simple docstring"""
for _ in range(len(__snake_case ) ):
_lowerCamelCase : Optional[Any] = random.randint(0 , len(__snake_case ... | 88 |
"""simple docstring"""
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
UpperCAmelCase = """\
@misc{wu2016googles,
title={Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation... | 88 | 1 |
"""simple docstring"""
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
UpperCAmelCase = """\
@misc{wu2016googles,
title={Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation... | 88 |
"""simple docstring"""
def _snake_case ( __snake_case : str , __snake_case : str ):
"""simple docstring"""
_lowerCamelCase : str = len(__snake_case )
_lowerCamelCase : Union[str, Any] = len(__snake_case )
_lowerCamelC... | 88 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
"""microsoft/markuplm-base""": """https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json""",
... | 88 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor
UpperCAmelCase = logging.get_logger(__name__)
class lowercase__ ( A_ ):
def __init__( self , *SCREAMING_SNAKE_CASE ... | 88 | 1 |
"""simple docstring"""
import argparse
import shlex
import runhouse as rh
if __name__ == "__main__":
# Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
# setup instructions, if using on-demand hardware
# If user passes --user... | 88 |
"""simple docstring"""
from math import isqrt, loga
def _snake_case ( __snake_case : int ):
"""simple docstring"""
_lowerCamelCase : List[str] = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
if is_prime[i]:... | 88 | 1 |
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