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
import unittest
from transformers import RoFormerConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, r... | 674 | """simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class a_ :
def __init__( self : Optional[int] ):
lowerCAmelCase__ = """"""
lowerCAmelCase__ = """"""
lowerCAmelCase__ = [... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
lowerCAmelCase__ = len(lowerCamelCase__ )
lowerCAmelCase__ = len(matrix[0] )
lowerCAmelCase__ = min(lowerCamelCase__ , lowerCamelCase__ )
for row in... | 674 | """simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 674 | 1 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConformerConfig,
WavaVecaConformerForCTC,
WavaVecaConformerForPreTraining,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVec... | 674 | """simple docstring"""
import os
import unittest
from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin... | 674 | 1 |
"""simple docstring"""
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
__lowerCAmelCase : Any = {
# 1536-bit
5: ... | 674 | """simple docstring"""
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
__lowerCAmelCase : Any = {
# 1536-bit
5: ... | 674 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable
__lowerCAmelCase : Tuple = {
"configuration_gpt_neox_japanese": ["GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP", "... | 674 | """simple docstring"""
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCam... | 674 | 1 |
"""simple docstring"""
from ....utils import logging
__lowerCAmelCase : Union[str, Any] = logging.get_logger(__name__)
class a_ ( __UpperCamelCase ):
def __init__( self : List[str] , snake_case__ : int , snake_case__ : Uni... | 674 | """simple docstring"""
import os
from math import logaa
def _UpperCAmelCase ( lowerCamelCase__ = "base_exp.txt" ):
"""simple docstring"""
lowerCAmelCase__ = 0
lowerCAmelCase__ = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(lowerCamelCase__ ... | 674 | 1 |
"""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_retribert import RetriBertTokenizer
__lowerCAmelCase : Optional[int] ... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
while b:
lowerCAmelCase__ , lowerCAmelCase__ = b, a % b
return a
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
... | 674 | 1 |
"""simple docstring"""
import argparse
import os
import torch
from transformers import FlavaConfig, FlavaForPreTraining
from transformers.models.flava.convert_dalle_to_flava_codebook import convert_dalle_checkpoint
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
... | 674 | """simple docstring"""
import os
def _UpperCAmelCase ( ):
"""simple docstring"""
lowerCAmelCase__ = os.path.dirname(os.path.realpath(lowerCamelCase__ ) )
lowerCAmelCase__ = os.path.join(lowerCamelCase__ , """triangle.txt""" )
with open(lowerCam... | 674 | 1 |
"""simple docstring"""
import argparse
import torch
from transformers import BertConfig, BertForPreTraining, load_tf_weights_in_bert
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , lowerCamelCase__ ):
... | 674 | """simple docstring"""
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
__lowerCAmelCase :... | 674 | 1 |
"""simple docstring"""
__lowerCAmelCase : List[str] = [
"Audio",
"Array2D",
"Array3D",
"Array4D",
"Array5D",
"ClassLabel",
"Features",
"Sequence",
"Value",
"Image",
"Translation",
"TranslationVariableLanguages",
]
from .audio import Audio
fro... | 674 | """simple docstring"""
import pprint
import requests
__lowerCAmelCase : Union[str, Any] = "https://zenquotes.io/api"
def _UpperCAmelCase ( ):
"""simple docstring"""
return requests.get(API_ENDPOINT_URL + """/today""" ).json()
def _Upper... | 674 | 1 |
"""simple docstring"""
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class a_ ( unittest.TestCase ):
def _SCREAMING_SNAKE_CASE ( self : Dict ):
lowerCAmelCase__ = [
"""safety_checker/pytorch_mod... | 674 | """simple docstring"""
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
IMAGE_PROCESSOR_MAPPING,
AutoConfig,
AutoImageProcessor,
CLIPConfig,
CLIPImageProcessor,
)
from transformers.testing_utils im... | 674 | 1 |
"""simple docstring"""
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
__lowerCAmelCase : List[str] = "\\n@misc{wu2016googles,\n title={Google's Neural Machine Translation System: Bridging the Gap between Human an... | 674 | """simple docstring"""
import numpy as np
import torch
from torch.utils.data import DataLoader
from accelerate.utils.dataclasses import DistributedType
class a_ :
def __init__( self : Optional[int] , snake_case__ : List[Any]=2 , snake_case__ : Any=3 , ... | 674 | 1 |
"""simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 674 | """simple docstring"""
import argparse
import torch
from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , lowerC... | 674 | 1 |
"""simple docstring"""
import inspect
import unittest
import numpy as np
from tests.test_modeling_common import floats_tensor
from transformers import DetrConfig, MaskFormerConfig, SwinConfig, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_torch_multi_gpu, re... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
assert isinstance(lowerCamelCase__ , lowerCamelCase__ ), f"""The input value of [n={number}] is not an integer"""
if number == 1:
return 2
elif number < 1:
lowerCAmelCase__ ... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
from PIL import Image
# Define glider example
__lowerCAmelCase : List[str] = [
[0, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
... | 674 | """simple docstring"""
import unittest
from transformers import PegasusTokenizer, PegasusTokenizerFast
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 import Tokeniz... | 674 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from transformers import BertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available():
f... | 674 | """simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from ... | 674 | 1 |
"""simple docstring"""
import unittest
from transformers import SPIECE_UNDERLINE, XLNetTokenizer, XLNetTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from ...test_tokenization_common import TokenizerTesterMixin
__lowerCAmelCase : Dict... | 674 | """simple docstring"""
from math import pi, sqrt
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
if num <= 0:
raise ValueError("""math domain error""" )
if num > 1_71.5:
raise OverflowError("""math range error""" )
elif num - int(lowerCamelC... | 674 | 1 |
"""simple docstring"""
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
from .record_evaluation import evaluate as evaluate_record
__lowerCAmelCase : List[Any] = "\\n@article{wang2019superglue,\n title={SuperGLUE: A Stickier Benchmark for General-Purpose Languag... | 674 | """simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...tes... | 674 | 1 |
"""simple docstring"""
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel
from ...schedulers import ScoreSdeVeScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class a_ ( __UpperCamelCase ):... | 674 | """simple docstring"""
from __future__ import annotations
from math import gcd
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ = 2 , lowerCamelCase__ = 1 , lowerCamelCase__ = 3 , ):
"""simple docstring"""
if num < 2:
raise ValueError("""The input value ca... | 674 | 1 |
"""simple docstring"""
from typing import Any
import numpy as np
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
return np.array_equal(lowerCamelCase__ , matrix.conjugate().T )
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelC... | 674 | """simple docstring"""
import argparse
from transformers import (
TapasConfig,
TapasForMaskedLM,
TapasForQuestionAnswering,
TapasForSequenceClassification,
TapasModel,
TapasTokenizer,
load_tf_weights_in_tapas,
)
from transformers.utils import logging
logging.set_verbosity_info()
... | 674 | 1 |
"""simple docstring"""
import re
from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P
# Sentinels
__lowerCAmelCase : Tuple = object()
# For specifying empty leaf dict `{}`
__lowerCAmelCase ... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ = 50 ):
"""simple docstring"""
lowerCAmelCase__ = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for tile_start in range(ro... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
class a_ :
def __init__( self : str , snake_case__ : List[str]=None ):
lowerCAmelCase__ = data
lowerCAmelCase__ = None
def __repr__( self : List[Any] ):
... | 674 | """simple docstring"""
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
f... | 674 | 1 |
"""simple docstring"""
import os
__lowerCAmelCase : Any = {"I": 1, "V": 5, "X": 10, "L": 50, "C": 1_00, "D": 5_00, "M": 10_00}
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
lowerCAmelCase__ = 0
lowerCAmelCase__ = ... | 674 | """simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class a_ :
def __init__( self : Optional[int] ):
lowerCAmelCase__ = """"""
lowerCAmelCase__ = """"""
lowerCAmelCase__ = [... | 674 | 1 |
"""simple docstring"""
# Copyright 2022 The HuggingFace Team and The OpenBMB Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licen... | 674 | """simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 674 | 1 |
"""simple docstring"""
import os
import unittest
from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class a_ ( __UpperCamelCase , unittest.TestCase ):
UpperCamelCase_ : Dict ... | 674 | """simple docstring"""
import os
import unittest
from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin... | 674 | 1 |
"""simple docstring"""
import doctest
from collections import deque
import numpy as np
class a_ :
def __init__( self : Union[str, Any] ):
lowerCAmelCase__ = [2, 1, 2, -1]
lowerCAmelCase__ = [1, 2, 3, 4]
def _SCREAMING_SNAKE_CASE ... | 674 | """simple docstring"""
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
__lowerCAmelCase : Any = {
# 1536-bit
5: ... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
lowerCAmelCase__ = int(lowerCamelCase__ )
if decimal in (0, 1): # Exit cases for the recursion
return str(lowerCamelCase__ )
lowerCAmelCase__ , lowerCAmelCase__ ... | 674 | """simple docstring"""
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCam... | 674 | 1 |
"""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
@require... | 674 | """simple docstring"""
import os
from math import logaa
def _UpperCAmelCase ( lowerCamelCase__ = "base_exp.txt" ):
"""simple docstring"""
lowerCAmelCase__ = 0
lowerCAmelCase__ = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(lowerCamelCase__ ... | 674 | 1 |
"""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, prepar... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
while b:
lowerCAmelCase__ , lowerCAmelCase__ = b, a % b
return a
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
... | 674 | 1 |
"""simple docstring"""
import io
import math
from typing import Dict, Optional, Union
import numpy as np
from huggingface_hub import hf_hub_download
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import convert_to_rgb, normalize, to_channel_dimension_format, to_pil... | 674 | """simple docstring"""
import os
def _UpperCAmelCase ( ):
"""simple docstring"""
lowerCAmelCase__ = os.path.dirname(os.path.realpath(lowerCamelCase__ ) )
lowerCAmelCase__ = os.path.join(lowerCamelCase__ , """triangle.txt""" )
with open(lowerCam... | 674 | 1 |
"""simple docstring"""
import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock
import torch
from ..state import Accelerat... | 674 | """simple docstring"""
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
__lowerCAmelCase :... | 674 | 1 |
"""simple docstring"""
import contextlib
import importlib
import io
import unittest
import transformers
# Try to import everything from transformers to ensure every object can be loaded.
from transformers import * # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_... | 674 | """simple docstring"""
import pprint
import requests
__lowerCAmelCase : Union[str, Any] = "https://zenquotes.io/api"
def _UpperCAmelCase ( ):
"""simple docstring"""
return requests.get(API_ENDPOINT_URL + """/today""" ).json()
def _Upper... | 674 | 1 |
"""simple docstring"""
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 a_ ( __UpperCamelCase ):
def __init__( self ... | 674 | """simple docstring"""
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
IMAGE_PROCESSOR_MAPPING,
AutoConfig,
AutoImageProcessor,
CLIPConfig,
CLIPImageProcessor,
)
from transformers.testing_utils im... | 674 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowerCAmelCase : Any = {
"configuration_x_clip": [
"XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
"XCLIPConfig",
"XCLIPTextC... | 674 | """simple docstring"""
import numpy as np
import torch
from torch.utils.data import DataLoader
from accelerate.utils.dataclasses import DistributedType
class a_ :
def __init__( self : Optional[int] , snake_case__ : List[Any]=2 , snake_case__ : Any=3 , ... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ = 100 ):
"""simple docstring"""
lowerCAmelCase__ = (n * (n + 1) // 2) ** 2
lowerCAmelCase__ = n * (n + 1) * (2 * n + 1) // 6
return sum_cubes - sum_squares
if __name__ == "__main__":
print(F"{solu... | 674 | """simple docstring"""
import argparse
import torch
from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , lowerC... | 674 | 1 |
"""simple docstring"""
import tempfile
import unittest
import numpy as np
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import BertConfig, is_flax_available
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_flax
if is_fla... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
assert isinstance(lowerCamelCase__ , lowerCamelCase__ ), f"""The input value of [n={number}] is not an integer"""
if number == 1:
return 2
elif number < 1:
lowerCAmelCase__ ... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections import namedtuple
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
lowerCAmelCase__ = namedtuple("""result""" , """name value""" ... | 674 | """simple docstring"""
import unittest
from transformers import PegasusTokenizer, PegasusTokenizerFast
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 import Tokeniz... | 674 | 1 |
"""simple docstring"""
import argparse
from transformers import BigBirdConfig, BigBirdForPreTraining, BigBirdForQuestionAnswering, load_tf_weights_in_big_bird
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , ... | 674 | """simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from ... | 674 | 1 |
"""simple docstring"""
import logging
import os
from logging import (
CRITICAL, # NOQA
DEBUG, # NOQA
ERROR, # NOQA
FATAL, # NOQA
INFO, # NOQA
NOTSET, # NOQA
WARN, # NOQA
WARNING, # NOQA
)
from typing import Optional
from tqdm import auto as tqdm_lib
__lowerCAmelCase : ... | 674 | """simple docstring"""
from math import pi, sqrt
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
if num <= 0:
raise ValueError("""math domain error""" )
if num > 1_71.5:
raise OverflowError("""math range error""" )
elif num - int(lowerCamelC... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
if len(lowerCamelCase__ ) <= 1:
return [tuple(lowerCamelCase__ )]
lowerCAmelCase__ = []
def generate(lowerCamelCase__ , lowerCamelCase__ ):
if k == 1:
re... | 674 | """simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...tes... | 674 | 1 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from .tokenization_pegasus import PegasusTokenizer
else... | 674 | """simple docstring"""
from __future__ import annotations
from math import gcd
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ = 2 , lowerCamelCase__ = 1 , lowerCamelCase__ = 3 , ):
"""simple docstring"""
if num < 2:
raise ValueError("""The input value ca... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
import string
from itertools import cycle, product
from pathlib import Path
__lowerCAmelCase : str = (
string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
__lowerCAmelCase : list[int] ... | 674 | """simple docstring"""
import argparse
from transformers import (
TapasConfig,
TapasForMaskedLM,
TapasForQuestionAnswering,
TapasForSequenceClassification,
TapasModel,
TapasTokenizer,
load_tf_weights_in_tapas,
)
from transformers.utils import logging
logging.set_verbosity_info()
... | 674 | 1 |
"""simple docstring"""
from typing import List, Optional, Tuple
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer
__lowerCAmelCase : int = logging.get_logger(__name__)
__lowerCAmelCase : ... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ = 50 ):
"""simple docstring"""
lowerCAmelCase__ = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for tile_start in range(ro... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...tes... | 674 | """simple docstring"""
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
f... | 674 | 1 |
"""simple docstring"""
from maths.prime_factors import prime_factors
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
if not isinstance(lowerCamelCase__ , lowerCamelCase__ ):
lowerCAmelCase__ = f"""Input value of [number={number}] must be an ... | 674 | """simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class a_ :
def __init__( self : Optional[int] ):
lowerCAmelCase__ = """"""
lowerCAmelCase__ = """"""
lowerCAmelCase__ = [... | 674 | 1 |
"""simple docstring"""
import unittest
from transformers import DebertaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTeste... | 674 | """simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
import os
from typing import Any
import requests
__lowerCAmelCase : Union[str, Any] = "https://api.github.com"
# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
__lowerCAmelCase ... | 674 | """simple docstring"""
import os
import unittest
from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin... | 674 | 1 |
"""simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 674 | """simple docstring"""
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
__lowerCAmelCase : Any = {
# 1536-bit
5: ... | 674 | 1 |
"""simple docstring"""
import argparse
import logging
import os
import time
import timeit
import datasets
import numpy as np
import pycuda.autoinit # noqa: F401
import pycuda.driver as cuda
import tensorrt as trt
import torch
from absl import logging as absl_logging
from accelerate import Accelerator
from dataset... | 674 | """simple docstring"""
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCam... | 674 | 1 |
"""simple docstring"""
import json
import os
import unittest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_toke... | 674 | """simple docstring"""
import os
from math import logaa
def _UpperCAmelCase ( lowerCamelCase__ = "base_exp.txt" ):
"""simple docstring"""
lowerCAmelCase__ = 0
lowerCAmelCase__ = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(lowerCamelCase__ ... | 674 | 1 |
"""simple docstring"""
import os
import unittest
from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
while b:
lowerCAmelCase__ , lowerCAmelCase__ = b, a % b
return a
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
... | 674 | 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 a_ ( __UpperCamelCase , __UpperCamelCase ):
@register_to_config
def ... | 674 | """simple docstring"""
import os
def _UpperCAmelCase ( ):
"""simple docstring"""
lowerCAmelCase__ = os.path.dirname(os.path.realpath(lowerCamelCase__ ) )
lowerCAmelCase__ = os.path.join(lowerCamelCase__ , """triangle.txt""" )
with open(lowerCam... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
assert (
isinstance(lowerCamelCase__ , lowerCamelCase__ ) and number_of_steps > 0
), f"""number_of_steps needs to be positive integer, your input {number_of_steps}"""
if number_of_... | 674 | """simple docstring"""
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
__lowerCAmelCase :... | 674 | 1 |
"""simple docstring"""
import tempfile
import numpy as np
import torch
from transformers import AutoTokenizer, TaEncoderModel
from diffusers import DDPMScheduler, UNetaDConditionModel
from diffusers.models.attention_processor import AttnAddedKVProcessor
from diffusers.pipelines.deepfloyd_if import IFWatermarker
f... | 674 | """simple docstring"""
import pprint
import requests
__lowerCAmelCase : Union[str, Any] = "https://zenquotes.io/api"
def _UpperCAmelCase ( ):
"""simple docstring"""
return requests.get(API_ENDPOINT_URL + """/today""" ).json()
def _Upper... | 674 | 1 |
"""simple docstring"""
import contextlib
import copy
import random
from typing import Any, Dict, Iterable, Optional, Union
import numpy as np
import torch
from .utils import deprecate, is_transformers_available
if is_transformers_available():
import transformers
def _UpperCAmelCase ( low... | 674 | """simple docstring"""
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
IMAGE_PROCESSOR_MAPPING,
AutoConfig,
AutoImageProcessor,
CLIPConfig,
CLIPImageProcessor,
)
from transformers.testing_utils im... | 674 | 1 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_flax_available, is_torch_availab... | 674 | """simple docstring"""
import numpy as np
import torch
from torch.utils.data import DataLoader
from accelerate.utils.dataclasses import DistributedType
class a_ :
def __init__( self : Optional[int] , snake_case__ : List[Any]=2 , snake_case__ : Any=3 , ... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Generator
import requests
from bsa import BeautifulSoup
__lowerCAmelCase : Union[str, Any] = "https://www.indeed.co.in/jobs?q=mobile+app+development&l="
def _UpperCAmelCase ( lower... | 674 | """simple docstring"""
import argparse
import torch
from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , lowerC... | 674 | 1 |
"""simple docstring"""
import copy
import fnmatch
import json
import os
import pickle as pkl
import shutil
import sys
import tarfile
import tempfile
from collections import OrderedDict
from contextlib import contextmanager
from functools import partial
from hashlib import shaaaa
from io import BytesIO
from pathlib ... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
assert isinstance(lowerCamelCase__ , lowerCamelCase__ ), f"""The input value of [n={number}] is not an integer"""
if number == 1:
return 2
elif number < 1:
lowerCAmelCase__ ... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
while b:
lowerCAmelCase__ , lowerCAmelCase__ = b, a % b
return a
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
... | 674 | """simple docstring"""
import unittest
from transformers import PegasusTokenizer, PegasusTokenizerFast
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 import Tokeniz... | 674 | 1 |
"""simple docstring"""
import json
import logging
import os
import sys
from pathlib import Path
import finetune_rag
from transformers.file_utils import is_apex_available
from transformers.testing_utils import (
TestCasePlus,
execute_subprocess_async,
require_ray,
require_torch_gpu,
require_tor... | 674 | """simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from ... | 674 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaInpaintPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, load_i... | 674 | """simple docstring"""
from math import pi, sqrt
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
if num <= 0:
raise ValueError("""math domain error""" )
if num > 1_71.5:
raise OverflowError("""math range error""" )
elif num - int(lowerCamelC... | 674 | 1 |
"""simple docstring"""
import os
import shutil
from pathlib import Path
from typing import Optional, Union
import numpy as np
from huggingface_hub import hf_hub_download
from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging
if is_onnx_available():
import onnxruntime as... | 674 | """simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...tes... | 674 | 1 |
"""simple docstring"""
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
impor... | 674 | """simple docstring"""
from __future__ import annotations
from math import gcd
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ = 2 , lowerCamelCase__ = 1 , lowerCamelCase__ = 3 , ):
"""simple docstring"""
if num < 2:
raise ValueError("""The input value ca... | 674 | 1 |
"""simple docstring"""
import os
from math import logaa
def _UpperCAmelCase ( lowerCamelCase__ = "base_exp.txt" ):
"""simple docstring"""
lowerCAmelCase__ = 0
lowerCAmelCase__ = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(lowerCamelCase__ ... | 674 | """simple docstring"""
import argparse
from transformers import (
TapasConfig,
TapasForMaskedLM,
TapasForQuestionAnswering,
TapasForSequenceClassification,
TapasModel,
TapasTokenizer,
load_tf_weights_in_tapas,
)
from transformers.utils import logging
logging.set_verbosity_info()
... | 674 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Any = logging.get_logger(__name__)
__lowerCAmelCase : List[str] = {
"weiweishi/roc-bert-base-zh": "https://huggingface.co/weiweishi/ro... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ = 50 ):
"""simple docstring"""
lowerCAmelCase__ = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for tile_start in range(ro... | 674 | 1 |
"""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_... | 674 | """simple docstring"""
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
f... | 674 | 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 CombinedTimestepLabelEmbeddings
@mayb... | 674 | """simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class a_ :
def __init__( self : Optional[int] ):
lowerCAmelCase__ = """"""
lowerCAmelCase__ = """"""
lowerCAmelCase__ = [... | 674 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
__lowerCAmelCase : Tuple = {
"configuration_ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig"],
"tokenization_ct... | 674 | """simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 674 | 1 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOu... | 674 | """simple docstring"""
import os
import unittest
from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin... | 674 | 1 |
"""simple docstring"""
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_... | 674 | """simple docstring"""
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
__lowerCAmelCase : Any = {
# 1536-bit
5: ... | 674 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : str = {"configuration_xlnet"... | 674 | """simple docstring"""
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCam... | 674 | 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 transform... | 674 | """simple docstring"""
import os
from math import logaa
def _UpperCAmelCase ( lowerCamelCase__ = "base_exp.txt" ):
"""simple docstring"""
lowerCAmelCase__ = 0
lowerCAmelCase__ = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(lowerCamelCase__ ... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ = 10**12 ):
"""simple docstring"""
lowerCAmelCase__ = 1
lowerCAmelCase__ = 0
lowerCAmelCase__ = 1
lowerCAmelCase__ = 1
while numerator <= 2 * min_total - 1:
prev_numerator +... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
while b:
lowerCAmelCase__ , lowerCAmelCase__ = b, a % b
return a
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
... | 674 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : int = logging.get_logger(__name__)
class a_ ( __UpperCamelCase ):
UpperCamelCase_ : Optional[Any] = "timm_backbone"
def __init__... | 674 | """simple docstring"""
import os
def _UpperCAmelCase ( ):
"""simple docstring"""
lowerCAmelCase__ = os.path.dirname(os.path.realpath(lowerCamelCase__ ) )
lowerCAmelCase__ = os.path.join(lowerCamelCase__ , """triangle.txt""" )
with open(lowerCam... | 674 | 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 a_ :
UpperCamelCase_ : int
UpperCamelCase_ : Node | None = None
UpperCamelCase_ : No... | 674 | """simple docstring"""
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
__lowerCAmelCase :... | 674 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : int = {
"configuration_roformer":... | 674 | """simple docstring"""
import pprint
import requests
__lowerCAmelCase : Union[str, Any] = "https://zenquotes.io/api"
def _UpperCAmelCase ( ):
"""simple docstring"""
return requests.get(API_ENDPOINT_URL + """/today""" ).json()
def _Upper... | 674 | 1 |
"""simple docstring"""
import unittest
import numpy as np
import torch
from diffusers import DDIMPipeline, DDIMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, slow, torch_device
from ..pipeline_params import UNCONDITIONAL_IMAGE_GENERATION_BATCH_PARAMS,... | 674 | """simple docstring"""
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
IMAGE_PROCESSOR_MAPPING,
AutoConfig,
AutoImageProcessor,
CLIPConfig,
CLIPImageProcessor,
)
from transformers.testing_utils im... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
from typing import Any
class a_ :
def __init__( self : Union[str, Any] , snake_case__ : int ):
lowerCAmelCase__ = num_of_nodes
lowerCAmelCase__ = []
lowerCAmelCase__ ... | 674 | """simple docstring"""
import numpy as np
import torch
from torch.utils.data import DataLoader
from accelerate.utils.dataclasses import DistributedType
class a_ :
def __init__( self : Optional[int] , snake_case__ : List[Any]=2 , snake_case__ : Any=3 , ... | 674 | 1 |
"""simple docstring"""
import logging
from transformers import PretrainedConfig
__lowerCAmelCase : List[str] = logging.getLogger(__name__)
__lowerCAmelCase : Optional[Any] = {
"bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm... | 674 | """simple docstring"""
import argparse
import torch
from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , lowerC... | 674 | 1 |
"""simple docstring"""
import unittest
from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch
class a_ ( unittest.TestCase ):
UpperCamelCase_ : Optional[Any] = JukeboxTokenizer
UpperCamelCase_ : List[Any] = {
"artist": "Zac Brow... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
assert isinstance(lowerCamelCase__ , lowerCamelCase__ ), f"""The input value of [n={number}] is not an integer"""
if number == 1:
return 2
elif number < 1:
lowerCAmelCase__ ... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
return "".join(chr(ord(lowerCamelCase__ ) - 32 ) if """a""" <= char <= """z""" else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod()
... | 674 | """simple docstring"""
import unittest
from transformers import PegasusTokenizer, PegasusTokenizerFast
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 import Tokeniz... | 674 | 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 im... | 674 | """simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from ... | 674 | 1 |
"""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
__lowerCAmelCase : Dict = ... | 674 | """simple docstring"""
from math import pi, sqrt
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
if num <= 0:
raise ValueError("""math domain error""" )
if num > 1_71.5:
raise OverflowError("""math range error""" )
elif num - int(lowerCamelC... | 674 | 1 |
"""simple docstring"""
from __future__ import annotations
from typing import Any
class a_ ( __UpperCamelCase ):
pass
class a_ :
def __init__( self : Optional[int] , snake_case__ : Any ):
lowerCAmelCase__ = data
lowerCAme... | 674 | """simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...tes... | 674 | 1 |
"""simple docstring"""
import math
def _UpperCAmelCase ( ):
"""simple docstring"""
lowerCAmelCase__ = input("""Enter message: """ )
lowerCAmelCase__ = int(input(f"""Enter key [2-{len(lowerCamelCase__ ) - 1}]: """ ) )
lowerCAmelCase__ = ... | 674 | """simple docstring"""
from __future__ import annotations
from math import gcd
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ = 2 , lowerCamelCase__ = 1 , lowerCamelCase__ = 3 , ):
"""simple docstring"""
if num < 2:
raise ValueError("""The input value ca... | 674 | 1 |
"""simple docstring"""
import inspect
import os
import unittest
from dataclasses import dataclass
import torch
from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda,... | 674 | """simple docstring"""
import argparse
from transformers import (
TapasConfig,
TapasForMaskedLM,
TapasForQuestionAnswering,
TapasForSequenceClassification,
TapasModel,
TapasTokenizer,
load_tf_weights_in_tapas,
)
from transformers.utils import logging
logging.set_verbosity_info()
... | 674 | 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
__lowerCAmelCase : List[str] = ... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ = 50 ):
"""simple docstring"""
lowerCAmelCase__ = [[0] * 3 for _ in range(length + 1 )]
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for tile_start in range(ro... | 674 | 1 |
"""simple docstring"""
from typing import List, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import CrossEntropyLoss
from ... import AutoBackbone
from ...modeling_outputs import SemanticSegmenterOutput
from ...modeling_utils import PreTrainedModel
from ...utils import add_start_docstring... | 674 | """simple docstring"""
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
f... | 674 | 1 |
"""simple docstring"""
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 : Union[str, Any] = logging.get_logger(__... | 674 | """simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class a_ :
def __init__( self : Optional[int] ):
lowerCAmelCase__ = """"""
lowerCAmelCase__ = """"""
lowerCAmelCase__ = [... | 674 | 1 |
"""simple docstring"""
import os
def _UpperCAmelCase ( ):
"""simple docstring"""
lowerCAmelCase__ = os.path.dirname(os.path.realpath(lowerCamelCase__ ) )
lowerCAmelCase__ = os.path.join(lowerCamelCase__ , """triangle.txt""" )
with open(lowerCam... | 674 | """simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 674 | 1 |
"""simple docstring"""
import unittest
from transformers import MraConfig, 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, floats_tensor, ids_tensor, random_atten... | 674 | """simple docstring"""
import os
import unittest
from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple docstring"""
lowerCAmelCase__ = hex_num.strip()
if not hex_num:
raise ValueError("""No value was passed to the function""" )
lowerCAmelCase__ = hex_num[0] == """-"""
if is_negat... | 674 | """simple docstring"""
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
__lowerCAmelCase : Any = {
# 1536-bit
5: ... | 674 | 1 |
"""simple docstring"""
from pathlib import Path
import fire
from tqdm import tqdm
def _UpperCAmelCase ( lowerCamelCase__="ro" , lowerCamelCase__="en" , lowerCamelCase__="wmt16" , lowerCamelCase__=None ):
"""simple docstring"""
try:
import datasets
except (Module... | 674 | """simple docstring"""
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCAmelCase ( lowerCamelCase__ , lowerCam... | 674 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class a_ ( metaclass=__UpperCamelCase ):
UpperCamelCase_ : Optional[Any] = ["torch", "scipy"]
def __init__( self : Optional[int] , *snake_case__ : str , **snake_case__ : ... | 674 | """simple docstring"""
import os
from math import logaa
def _UpperCAmelCase ( lowerCamelCase__ = "base_exp.txt" ):
"""simple docstring"""
lowerCAmelCase__ = 0
lowerCAmelCase__ = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(lowerCamelCase__ ... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ = 50 ):
"""simple docstring"""
lowerCAmelCase__ = [1] * (length + 1)
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for tile_start in range(row_length - tile_length ... | 674 | """simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
while b:
lowerCAmelCase__ , lowerCAmelCase__ = b, a % b
return a
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
... | 674 | 1 |
"""simple docstring"""
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property
from .... | 674 | """simple docstring"""
import os
def _UpperCAmelCase ( ):
"""simple docstring"""
lowerCAmelCase__ = os.path.dirname(os.path.realpath(lowerCamelCase__ ) )
lowerCAmelCase__ = os.path.join(lowerCamelCase__ , """triangle.txt""" )
with open(lowerCam... | 674 | 1 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 674 | """simple docstring"""
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
__lowerCAmelCase :... | 674 | 1 |
"""simple docstring"""
import importlib
import inspect
import os
import re
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
__lowerCAmelCase : List[Any] = "src/transformers"
# This is to ... | 674 | """simple docstring"""
import pprint
import requests
__lowerCAmelCase : Union[str, Any] = "https://zenquotes.io/api"
def _UpperCAmelCase ( ):
"""simple docstring"""
return requests.get(API_ENDPOINT_URL + """/today""" ).json()
def _Upper... | 674 | 1 |
"""simple docstring"""
import argparse
import OmegaConf
import torch
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
lowerCAmelCase__ = ... | 674 | """simple docstring"""
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
IMAGE_PROCESSOR_MAPPING,
AutoConfig,
AutoImageProcessor,
CLIPConfig,
CLIPImageProcessor,
)
from transformers.testing_utils im... | 674 | 1 |
"""simple docstring"""
def _UpperCAmelCase ( lowerCamelCase__ , lowerCamelCase__ ):
"""simple docstring"""
lowerCAmelCase__ = """"""
for i in table:
res += inp[i - 1]
return res
def _UpperCAmelCase ( lowerCamelCase__ ):
"""simple doc... | 674 | """simple docstring"""
import numpy as np
import torch
from torch.utils.data import DataLoader
from accelerate.utils.dataclasses import DistributedType
class a_ :
def __init__( self : Optional[int] , snake_case__ : List[Any]=2 , snake_case__ : Any=3 , ... | 674 | 1 |
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