code stringlengths 82 53.2k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
def UpperCamelCase__ ( SCREAMING_SNAKE_CASE_ : int , SCREAMING_SNAKE_CASE_ : Optional[int] , SCREAMING_SNAKE_CASE_ : int , SCREAMING_SNAKE_CASE_ : Any , SCREAMING_SNAKE_CASE_ : int , SCREAMING_SNAKE_CASE_ : int ) -> List[Any]:
if index == r:
for j in range(SCREAMING_SN... | 287 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import (
BaseOutput,
OptionalDependencyNotAvailable,
is_flax_available,
is_k_diffusion_available,
is_k_diffusion_version,
is_onnx_available,
is_torc... | 287 | 1 |
import json
import logging
import os
import sys
from time import time
from unittest.mock import patch
from transformers.testing_utils import TestCasePlus, require_torch_tpu
logging.basicConfig(level=logging.DEBUG)
__lowerCamelCase : Optional[int] = logging.getLogger()
def lowercase__ ( ... | 501 |
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, Iterable, List, Literal, NewType, Opt... | 501 | 1 |
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
SCREAMING_SNAKE_CASE : Dict = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
SCREAMING_SNAKE_CASE : List[str] = typing.Union[np.floataa, in... | 257 |
def UpperCamelCase ( _a = 1 , _a = 1_0_0_0 ) -> int:
'''simple docstring'''
lowercase_ :str = 1
lowercase_ :Union[str, Any] = 0
for divide_by_number in range(_a , digit + 1 ):
lowercase_ ... | 257 | 1 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowercase__ = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))
import check_c... | 492 |
"""simple docstring"""
def _snake_case ( lowercase__ ):
_lowerCamelCase : List[str] = abs(lowercase__ )
_lowerCamelCase : Optional[int] = 0
while n > 0:
res += n % 10
n //= 10
return res
def _snake_case (... | 492 | 1 |
"""simple docstring"""
import argparse
import datetime
import json
import time
import warnings
from logging import getLogger
from pathlib import Path
from typing import Dict, List
import torch
from tqdm import tqdm
from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from utils import calculate_bleu, cal... | 661 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_torchaudio_availa... | 661 | 1 |
import warnings
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.utils import compute_effective_axis_dimension... | 202 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
lowerCamelCase__ = {"configuration_yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig", "YolosOnnxConfig"]}
try:
if not is_vision_available():
raise Optio... | 202 | 1 |
'''simple docstring'''
import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List
import git
import torch
from torch.utils.da... | 51 |
import cmath
import math
def __SCREAMING_SNAKE_CASE (SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__ ):
snake_case_ = math.radians(SCREAMING_SNAKE_CASE__ )
snake_case_ = math.radians(SCREAMING_SNAKE_C... | 39 | 0 |
"""simple docstring"""
import argparse
import intel_extension_for_pytorch as ipex
import torch
from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
_UpperCAmelCase = argparse.ArgumentParser("""Stable Diffusion script with intel optimization""", add_help=False)
parser.ad... | 708 |
"""simple docstring"""
def __magic_name__ ( lowercase = 200_0000 ):
SCREAMING_SNAKE_CASE_: List[Any] =[0 for i in range(n + 1 )]
SCREAMING_SNAKE_CASE_: Union[str, Any] =1
SCREAMING_SNAKE_CASE_: Optional[Any] =1
for i in range(2 , int(n**0.5 ) + 1 ):
... | 36 | 0 |
"""simple docstring"""
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
... | 4 |
"""simple docstring"""
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import re... | 4 | 1 |
from __future__ import annotations
import requests
__lowerCamelCase = 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 created_utc do... | 455 |
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_availab... | 455 | 1 |
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
UpperCAmelCa... | 117 |
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
... | 117 | 1 |
'''simple docstring'''
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from fast... | 713 |
import pprint
import requests
lowercase_ = """https://zenquotes.io/api"""
def a__ ( ):
"""simple docstring"""
return requests.get(API_ENDPOINT_URL + '''/today''' ).json()
def a__ ( ):
"""simple docstring"""
return requests.get(API_ENDPOINT_URL + ''... | 131 | 0 |
import unittest
import numpy as np
from transformers import DistilBertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
import jax.numpy as jnp
fro... | 106 |
'''simple docstring'''
import json
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingSt... | 44 | 0 |
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec_head,
ftp_get,... | 720 |
from ...processing_utils import ProcessorMixin
class __snake_case ( a ):
UpperCAmelCase__ : Optional[int] = '''WhisperFeatureExtractor'''
UpperCAmelCase__ : Union[str, Any] = '''WhisperTokenizer'''
def __init__( self : str ... | 169 | 0 |
import os
from math import logaa
def UpperCamelCase_( lowerCamelCase_ = "base_exp.txt" ) -> int:
_lowercase : float = 0
_lowercase : Dict = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(lowerCamelCase_ ) , lowerCamelCase_ ... | 89 |
import json
import os
import unittest
from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers
from ...test_tokenization_common import Token... | 503 | 0 |
'''simple docstring'''
def UpperCAmelCase_ ( lowercase__ = 1_0_0_0 ):
'''simple docstring'''
return sum(2 * a * ((a - 1) // 2) for a in range(3 , n + 1 ) )
if __name__ == "__main__":
print(solution())
| 41 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
lowercase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
... | 41 | 1 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConformerConfig,
WavaVecaConformerForCTC,
WavaVecaConformerForPreTraining,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaProces... | 475 |
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class A__ ( __S... | 154 | 0 |
'''simple docstring'''
import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock
import torch
from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate... | 714 | '''simple docstring'''
def SCREAMING_SNAKE_CASE__ ( snake_case : int = 10**9 ) -> int:
"""simple docstring"""
a : List[str] = 1
a : Any = 2
a : List[Any] = 0
a : Optional[Any] = 0... | 610 | 0 |
'''simple docstring'''
__SCREAMING_SNAKE_CASE = 2_5_6
# Modulus to hash a string
__SCREAMING_SNAKE_CASE = 1_0_0_0_0_0_3
def __a ( lowerCAmelCase__ : str , lowerCAmelCase__ : str ):
a__ : Any = len(lowerCAmelCase__ )
a__ : Dict ... | 688 |
'''simple docstring'''
from typing import List, Optional, Union
import torch
from ...models import UNetaDConditionModel, VQModel
from ...pipelines import DiffusionPipeline
from ...pipelines.pipeline_utils import ImagePipelineOutput
from ...schedulers import DDPMScheduler
from ...utils import (
is_accelera... | 688 | 1 |
from pathlib import Path
import fire
from tqdm import tqdm
def lowerCamelCase ( UpperCamelCase : List[Any]="ro" , UpperCamelCase : Optional[int]="en" , UpperCamelCase : List[str]="wmt16" , UpperCamelCase : List[Any]=None ) -> None:
try:
... | 234 | from ...configuration_utils import PretrainedConfig
from ...utils import logging
A = logging.get_logger(__name__)
A = {
'microsoft/cvt-13': 'https://huggingface.co/microsoft/cvt-13/resolve/main/config.json',
# See all Cvt models at https://huggingface.co/models?filter=cvt
}
clas... | 234 | 1 |
'''simple docstring'''
_A = [
"""Audio""",
"""Array2D""",
"""Array3D""",
"""Array4D""",
"""Array5D""",
"""ClassLabel""",
"""Features""",
"""Sequence""",
"""Value""",
"""Image""",
"""Translation""",
"""TranslationVariableLanguages""",
]
from .audio import Aud... | 158 |
'''simple docstring'''
def __lowerCamelCase ( lowerCAmelCase_ ) -> bool:
if not all(x.isalpha() for x in string ):
raise ValueError('String must only contain alphabetic characters.' )
_a : Tuple = sorted(string.lower() )
return len(lowerCAmelCase_ ) == len(set(lowerCAmelCas... | 358 | 0 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase_ : List[Any] = logging.get_... | 718 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
UpperCAmelCase_ : str = (3, 9, -11, 0, 7, 5, 1, -1)
UpperCAmelCase_ : int = (4, 6, 2, 0, 8, 10, 3, -2)
@dataclass
class UpperCAmelCase__ ... | 11 | 0 |
"""simple docstring"""
import argparse
import fairseq
import torch
from torch import nn
from transformers import (
MBartaaTokenizer,
MBartConfig,
MBartForCausalLM,
SpeechEncoderDecoderConfig,
SpeechEncoderDecoderModel,
WavaVecaConfig,
WavaVecaFeatureExtractor,
Wava... | 554 |
from graphs.minimum_spanning_tree_kruskal import kruskal
def __lowerCAmelCase ( ) -> Optional[Any]:
'''simple docstring'''
SCREAMING_SNAKE_CASE = 9
SCREAMING_SNAKE_CASE = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
[7, 8, 7],
[7, 6, 1],
[2, 8, 2],
... | 439 | 0 |
from __future__ import annotations
from functools import lru_cache
from math import ceil
__A = 100
__A = set(range(3, NUM_PRIMES, 2))
primes.add(2)
__A = 42
for prime in range(3, ceil(NUM_PRIMES**0.5), 2):
if prime not in primes:
continue
... | 437 |
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
__A = (3, 9, -11, 0, 7, 5, 1, -1)
__A = (4, 6, 2, 0, 8, 10, 3, -2)
@dataclass
class _SCREAMING_SNAKE_CASE :
'''simple docstring'''
lowercase_ ... | 437 | 1 |
import os
from glob import glob
import imageio
import torch
import torchvision
import wandb
from img_processing import custom_to_pil, loop_post_process, preprocess, preprocess_vqgan
from loaders import load_vqgan
from PIL import Image
from torch import nn
from transformers import CLIPModel, CLIPTokenizerFast
from ut... | 74 |
"""simple docstring"""
from __future__ import absolute_import, division, print_function, unicode_literals
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers import RobertaConfig
from transformers.file_utils import add_start_docstrings, add_start_docstrings_t... | 58 | 0 |
import operator as op
def a(lowercase__ ):
'''simple docstring'''
snake_case_ = []
snake_case_ = lambda lowercase__ , lowercase__ : int(x / y ) # noqa: E731 integer division operation
snake_case_ = {
'^': op.pow,
'*': op.mul,
'/': div,
'+': op.add,
'-': o... | 46 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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 applicab... | 46 | 1 |
'''simple docstring'''
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
"""simple docstring"""
@staticmethod
@abstractmethod
def _UpperCAmelCase ( lowerCAmelCase : Argumen... | 452 |
"""simple docstring"""
from __future__ import annotations
def snake_case ( _a: int , _a: int )-> tuple[int, int]:
'''simple docstring'''
if b == 0:
return (1, 0)
((lowerCamelCase__) , (lowerCamelCase__)) = extended_euclid(_a , a % b... | 510 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
A_ = {
'''configuration_upernet''': ['''UperNetConfig'''],
}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
... | 498 |
"""simple docstring"""
from __future__ import annotations
class __SCREAMING_SNAKE_CASE :
def __init__( self : Any , snake_case : str , snake_case : str ):
'''simple docstring'''
A__ , A__ : List[s... | 498 | 1 |
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
if TYPE_CHECKING:
from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, ... | 234 |
'''simple docstring'''
import os
from math import logaa
def _A ( A__ = "base_exp.txt" ):
"""simple docstring"""
__lowercase = 0
__lowercase = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(A__ ) , A__ ) ) ):
__lowercase , __lowercase... | 41 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__UpperCamelCase : Dict = logging.get_logger(__name__)
__UpperCamelCase : str = {
"google/pegasus-large": "https://huggingface.co/google/pegasus-large/resolve/main/config.... | 717 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__UpperCamelCase : Any = logging.get_logger(__name__)
__UpperCamelCase : Any = {
... | 106 | 0 |
'''simple docstring'''
from __future__ import annotations
_lowerCAmelCase = 10
def UpperCamelCase ( a ) -> list[int]:
'''simple docstring'''
__magic_name__ = 1
__magic_name__ = max(a )
while placement <= max_digit:
# decla... | 432 |
'''simple docstring'''
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sagemak... | 432 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_snake_case = logging.get_logger(__name__)
_snake_case = {
"microsoft/swinv2-tiny-patch4-window8-256": (
"https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json"
... | 54 |
def lowerCAmelCase_ ( snake_case_,snake_case_ ):
_A : Union[str, Any] = """"""
for i in table:
res += inp[i - 1]
return res
def lowerCAmelCase_ ( snake_case_ ):
return data[1:] + data[0]
def lowerCAmelCase_ ( snake_case_,s... | 54 | 1 |
'''simple docstring'''
def a__ ( UpperCamelCase_ : Optional[Any] ):
if len(SCREAMING_SNAKE_CASE_ ) <= 1:
return [tuple(SCREAMING_SNAKE_CASE_ )]
UpperCAmelCase__ :List[Any] = []
def generate(UpperCamelCase_ : Tuple, UpperCamelCase_ ... | 467 | '''simple docstring'''
def A_ ( SCREAMING_SNAKE_CASE_ ) ->bool:
if number < 0:
raise ValueError("""number must not be negative""" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 451 | 0 |
import math
import qiskit
def UpperCAmelCase_( a__ = 1 , a__ = 1 , a__ = 1 ):
"""simple docstring"""
if (
isinstance(a__ , a__ )
or isinstance(a__ , a__ )
or isinstance(a__ , a__ )
):
raise TypeError('''inputs must be i... | 333 |
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ConvNextConfig, UperNetConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transformers.utils import is_torch_available, is_vision_available
f... | 333 | 1 |
import unittest
from transformers import 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 ModelTesterMixin, ids_tensor
from .... | 333 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, 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, random_... | 333 | 1 |
'''simple docstring'''
from __future__ import annotations
from functools import lru_cache
from math import ceil
_SCREAMING_SNAKE_CASE = 100
_SCREAMING_SNAKE_CASE = set(range(3, NUM_PRIMES, 2))
primes.add(2)
_SCREAMING_SNAKE_CASE = 42
for prime in range(3... | 517 |
'''simple docstring'''
import gc
import threading
import time
import psutil
import torch
class _lowerCAmelCase :
"""simple docstring"""
def __init__( self : Tuple )-> Dict:
snake_case = psutil.Process()
snake_case ... | 517 | 1 |
'''simple docstring'''
# Algorithm for the pigeonhole sorting
def _a( UpperCamelCase__ : Optional[int] ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : int =min(UpperCamelCase__ ) # min() finds the minimum value
SCREAMIN... | 296 |
'''simple docstring'''
from collections.abc import Iterable
from typing import Generic, TypeVar
a_ = TypeVar('_T')
class __SCREAMING_SNAKE_CASE ( Generic[_T] ):
def __init__( self : Union[str, Any] , __lowercase : Iterable[_T] ... | 296 | 1 |
"""simple docstring"""
import json
import os
from datetime import date
from pathlib import Path
from tabulate import DataRow, TableFormat, tabulate
lowerCamelCase = TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
heade... | 14 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConformerConfig,
WavaVecaConformerForCTC,
WavaVecaConformerForPreTraining,
WavaVecaCTCTokenizer,
WavaVecaF... | 14 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
__lowerCAmelCase = {'processing_layoutxlm': ['LayoutXLMProcessor']... | 585 |
"""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 BeitConfig, BeitForImageClassification, BeitForMaskedImageModeling, BeitImageProcessor
from tra... | 308 | 0 |
"""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
lowerCamelCase : Optional[Any] = logging.get_log... | 704 |
"""simple docstring"""
import os
import string
import sys
lowerCamelCase : Any = 1 << 8
lowerCamelCase : Optional[int] = {
"""tab""": ord("""\t"""),
"""newline""": ord("""\r"""),
"""esc""": 2_7,
"""up""": 6_5 + ARROW_KEY_FLAG,
"""... | 168 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a_ = logging.get_logger(__name__)
a_ = {
'''huggingface/time-series-transformer-tourism-monthly''': (
'''https://huggingface.co/hu... | 480 |
"""simple docstring"""
from __future__ import annotations
def SCREAMING_SNAKE_CASE__ ( SCREAMING_SNAKE_CASE__ : list[int] , SCREAMING_SNAKE_CASE__ : list[int] , SCREAMING_SNAKE_CASE__ : list[int] , SCREAMING_SNAKE_CASE__ : list[list[str]] , SCREAMING_SNAKE_CASE... | 480 | 1 |
import random
import timeit
from functools import wraps
from typing import Callable, Optional
from ..configuration_utils import PretrainedConfig
from ..models.auto.modeling_tf_auto import TF_MODEL_MAPPING, TF_MODEL_WITH_LM_HEAD_MAPPING
from ..utils import is_pyanvml_available, is_tf_available, logging
from .ben... | 590 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
UpperCAmelCase_ : Optional[int] = {
'''configuration_xlm''': ['''XLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XLMConfig''', '''XLMOnnxConfig'''],
'''tokeni... | 590 | 1 |
"""simple docstring"""
import csv
import tweepy
# Twitter API credentials
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
# authorize twitter, init... | 277 | """simple docstring"""
import pytest
from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs
@pytest.mark.parametrize(
"""kwargs, expected""" ,[
({"""num_shards""": 0, """max_num_jobs""": 1}, []),
({"""num_shards""": 10, """max_num_jobs""":... | 277 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase_ = {
"configuration_longformer": [
"LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"LongformerCon... | 376 |
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class a ( __UpperCAmelCase ):
@staticmethod
@abstractmethod
def UpperCAmelCase__ ( snake_case__ : ArgumentParser ):
"""simple docstring"""
raise NotImplementedError(... | 376 | 1 |
'''simple docstring'''
import torch
from transformers import CamembertForMaskedLM, CamembertTokenizer
def _A ( lowercase__ , lowercase__ , lowercase__ , lowercase__=5 ):
# Adapted from https://github.com/pytorch/fairseq/blob/master/fairseq/models/roberta/hub_interface.py
assert m... | 325 |
'''simple docstring'''
import math
import qiskit
def _A ( lowercase__ = 1 , lowercase__ = 1 , lowercase__ = 1 ):
if (
isinstance(lowercase__ , lowercase__ )
or isinstance(lowercase__ , lowercase__ )
or isinstance(lowercase__ , lowercase__ ... | 325 | 1 |
def UpperCAmelCase_( a__ ):
"""simple docstring"""
stooge(__snake_case , 0 , len(__snake_case ) - 1 )
return arr
def UpperCAmelCase_( a__ , a__ , a__ ):
"""simple docstring"""
if i >= h:
return
# If first element is... | 712 |
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class a_ ( a__ ):
"""simple docstring"""
__SCREAMING_SNAKE_CASE : int = (DDPMScheduler,)
def __lowerCAmelCase ( self , **_lowerCamelCase ... | 333 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
UpperCamelCase = {
'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
'tokenization_biogpt': ['BioGptTokenizer'... | 61 |
import operator as op
UpperCamelCase = 'scaler.pt'
UpperCamelCase = 'pytorch_model'
UpperCamelCase = 'random_states'
UpperCamelCase = 'optimizer'
UpperCamelCase = 'scheduler'
UpperCamelCase = 'pytorch_model.bin'
UpperCamelCase = 'pytorch_model.bin.in... | 61 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
'facebook/s2t-small-librispeech-asr': (
'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/config.... | 717 |
import argparse
import torch
from datasets import load_dataset
from donut import DonutModel
from transformers import (
DonutImageProcessor,
DonutProcessor,
DonutSwinConfig,
DonutSwinModel,
MBartConfig,
MBartForCausalLM,
VisionEncoderDecoderModel,
XLMRobertaTokenizerFa... | 380 | 0 |
'''simple docstring'''
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional
import yaml
from ... | 8 |
'''simple docstring'''
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import ViTImageProcessor, ViTMSNConfig, ViTMSNModel
from transformers.image_utils import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
torch.set_gr... | 314 | 0 |
"""simple docstring"""
# flake8: noqa
# Lint as: python3
A_ = [
'''VerificationMode''',
'''Version''',
'''disable_progress_bar''',
'''enable_progress_bar''',
'''is_progress_bar_enabled''',
'''experimental''',
]
from .info_utils import VerificationMode
from .logging import dis... | 498 |
"""simple docstring"""
import os
try:
from .build_directory_md import good_file_paths
except ImportError:
from build_directory_md import good_file_paths # type: ignore
A_ = list(good_file_paths())
assert filepaths, "good_file_paths() failed!"
A_ = [file for file in filepaths ... | 498 | 1 |
"""simple docstring"""
import gc
import math
import unittest
import torch
from diffusers import UNetaDModel
from diffusers.utils import floats_tensor, logging, slow, torch_all_close, torch_device
from diffusers.utils.testing_utils import enable_full_determinism
from .test_modeling_co... | 571 |
from argparse import ArgumentParser
from .env import EnvironmentCommand
def snake_case_ ( ):
__lowercase = ArgumentParser("Diffusers CLI tool" , usage="diffusers-cli <command> [<args>]" )
__lowercase = parser.add_subparsers(help="diffusers-cli command helpers" )
# Reg... | 402 | 0 |
'''simple docstring'''
def lowerCamelCase ( UpperCAmelCase__ : Optional[int] , UpperCAmelCase__ : List[Any] ) -> Optional[Any]:
lowercase_ : List[str] = [0 for i in range(r + 1 )]
# nc0 = 1
lowercase_ : Dict = 1
for... | 719 | '''simple docstring'''
import argparse
import intel_extension_for_pytorch as ipex
import torch
from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
_lowercase : Optional[Any] = argparse.ArgumentParser("Stable Diffusion script with intel optimization", add_help=False)
parser.add... | 30 | 0 |
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
@require_sentencepiece
@slow # ... | 66 |
from PIL import Image
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> Image:
def brightness(SCREAMING_SNAKE_CASE ) -> float:
return 128 + level + (c - 128)
if not -255.0 <= level <= 255.0:
raise ValueError('level m... | 66 | 1 |
from ...configuration_utils import PretrainedConfig
SCREAMING_SNAKE_CASE : Optional[Any] = {
"google/tapas-base-finetuned-sqa": (
"https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json"
),
"google/tapas-base-finetuned-wtq": (
"https://huggingface.co/go... | 712 | class A_ :
def __init__( self : List[Any] ):
__a = {} # Mapping from char to TrieNode
__a = False
def _UpperCAmelCase ( self : Optional[Any] , __SCREAMING_SNAKE_CASE : list[str] ):
for word in words:
self.insert(__SCREAMING_SNAKE_CA... | 525 | 0 |
"""simple docstring"""
import tempfile
import unittest
import numpy as np
import transformers
from transformers import GPTaTokenizer, GPTJConfig, is_flax_available, is_torch_available
from transformers.testing_utils import is_pt_flax_cross_test, require_flax, tooslow
from ...generation.test_flax_utils import Flax... | 91 |
"""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(__name__)
__lo... | 222 | 0 |
from typing import List
from .keymap import KEYMAP, get_character
def A ( __UpperCamelCase ) -> Optional[int]:
def decorator(__UpperCamelCase ):
A__ = getattr(__UpperCamelCase , 'handle_key' , [] )
handle += [key]
setattr(__UpperCamelCase , 'h... | 707 |
import argparse
import struct
import unittest
class __lowerCAmelCase :
"""simple docstring"""
def __init__( self : List[str] , _snake_case : bytes ):
"""simple docstring"""
A__ = data
# Initialize hash values
... | 52 | 0 |
# Copyright 2023 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 ap... | 73 |
import math
from datetime import datetime, timedelta
def _snake_case (__lowercase):
UpperCamelCase_ = year % 19
UpperCamelCase_ = year % 4
UpperCamelCase_ = year % 7
UpperCamelCase_ = math.floor(year / 100)
UpperCamelCase_ = math.flo... | 23 | 0 |
import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch
from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search
from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import RO... | 693 |
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_torch_mu... | 693 | 1 |
def lowerCAmelCase_ ( __a ) -> Any:
"""simple docstring"""
lowerCamelCase__: int =len(__a )
while cur > 1:
# Find the maximum number in arr
lowerCamelCase__: str =arr.index(max(arr[0:cur] ) )
# Reverse from 0 to mi
lowerCamelCase__:... | 59 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
_lowerCamelCase : Dict = {
'configuration_bloom': ['BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BloomConfig', 'BloomOnnxConfig'],
}
try:
... | 121 | 0 |
import pytest
from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested
from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows
def A ( __UpperCamelCase ) -> Optional[int]: # picklable for multiproces... | 52 |
import logging
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import numpy as np
from utils_multiple_choice import MultipleChoiceDataset, Split, processors
import transformers
from transformers import (
AutoConfig,
AutoModelForMultipleChoice,
AutoTokenizer,
Da... | 52 | 1 |
"""simple docstring"""
import copy
import os
from typing import TYPE_CHECKING, List, Union
if TYPE_CHECKING:
pass
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
"""kakaobrain/alig... | 129 |
import argparse
from collections import defaultdict
import yaml
SCREAMING_SNAKE_CASE__ = '''docs/source/en/_toctree.yml'''
def A ( __UpperCamelCase ) -> Optional[Any]:
A__ = defaultdict(__UpperCamelCase )
for doc in model_doc:
counts[doc["local"]] += 1
A__ ... | 9 | 0 |
import logging
import os
import sys
from dataclasses import dataclass, field
from importlib import import_module
from typing import Dict, List, Optional, Tuple
import numpy as np
from seqeval.metrics import accuracy_score, fa_score, precision_score, recall_score
from torch import nn
from utils_ner import Split, ... | 269 |
from dataclasses import dataclass
from typing import Optional
import numpy as np
import torch
import torch.nn as nn
from ..utils import BaseOutput, is_torch_version, randn_tensor
from .attention_processor import SpatialNorm
from .unet_ad_blocks import UNetMidBlockaD, get_down_block, get_up_block
@dataclass
cla... | 269 | 1 |
'''simple docstring'''
__lowerCAmelCase = [
[0, 16, 13, 0, 0, 0],
[0, 0, 10, 12, 0, 0],
[0, 4, 0, 0, 14, 0],
[0, 0, 9, 0, 0, 20],
[0, 0, 0, 7, 0, 4],
[0, 0, 0, 0, 0, 0],
]
def __SCREAMING_SNAKE_CASE ( _SCREAMING_SNAKE_CASE , _SCREAMING_SNAKE_CASE , _SCREAMING_SNAKE_C... | 585 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__lowerCAmelCase = {
'configuration_roberta_prelayernorm': [
'ROBERTA_PRELAYERNORM_PRETRAINED_CO... | 585 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
A = {
"configuration_longformer": [
"LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",... | 712 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/ermongroup/ddim
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax
import jax.numpy as jnp
from ..configuration_utils import ConfigMixin, register_to_config
from .sche... | 487 | 0 |
def UpperCamelCase ( _a ) -> list:
'''simple docstring'''
if len(_a ) < 2:
return collection
def circle_sort_util(_a , _a , _a ) -> bool:
lowercase_ :List[str] = False
if low == high:
... | 257 |
import builtins
import sys
from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP
SCREAMING_SNAKE_CASE : Any = False
try:
SC... | 257 | 1 |
"""simple docstring"""
import os
import unittest
from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@requir... | 714 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__lowerCamelCase = {
"configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
... | 190 | 0 |
def SCREAMING_SNAKE_CASE ( __UpperCamelCase : list ) -> list:
UpperCAmelCase_ = len(__UpperCamelCase )
for i in range(1 , __UpperCamelCase ):
UpperCAmelCase_ = collection[i]
UpperCAmelCase_ = 0
UpperCAmelCase_ = i - 1
... | 144 |
# using dfs for finding eulerian path traversal
def SCREAMING_SNAKE_CASE ( __UpperCamelCase : List[Any] , __UpperCamelCase : int , __UpperCamelCase : List[str] , __UpperCamelCase : List[str]=None ) -> Optional[Any]:
UpperCAmelCase_ = (path or [])... | 144 | 1 |
'''simple docstring'''
from __future__ import annotations
def __snake_case ( _UpperCAmelCase : int):
UpperCamelCase = 2
UpperCamelCase = []
while i * i <= n:
if n % i:
i += 1
else:
n //= i
factors.append(_UpperCAmelCas... | 350 |
'''simple docstring'''
from __future__ import annotations
def __snake_case ( _UpperCAmelCase : list[int]):
UpperCamelCase = len(_UpperCAmelCase) // 2
# choose the middle 3 elements
UpperCamelCase = lst[m - 1 : m + 2]
# if middle element is peak
if th... | 350 | 1 |
import requests
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->None:
UpperCAmelCase = {"""Content-Type""": """application/json"""}
UpperCAmelCase = requests.post(lowerCAmelCase_ , json={"""text""": message_body} , headers=lowerCAmelCase_ )
if res... | 377 |
import math
import time
from transformers import Trainer, is_torch_tpu_available
from transformers.trainer_utils import PredictionOutput, speed_metrics
if is_torch_tpu_available(check_device=False):
import torch_xla.core.xla_model as xm
import torch_xla.debug.metrics as met
class __low... | 377 | 1 |
'''simple docstring'''
import argparse
import hashlib # hashlib is only used inside the Test class
import struct
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ) -> Any:
_lowerCAmelCase = data
_lowerCAmelCase = [0X67_45_23_01, 0XEF_CD_AB_89, 0X9... | 489 |
'''simple docstring'''
_SCREAMING_SNAKE_CASE = range(2, 20 + 1)
_SCREAMING_SNAKE_CASE = [10**k for k in range(ks[-1] + 1)]
_SCREAMING_SNAKE_CASE = {}
def __a(SCREAMING_SNAKE_CASE_ : Tuple , SCREAMING_SNAKE_CASE_ : str , SCREAMING_SNAKE_CASE_ : Any , SC... | 489 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowerCamelCase__ ( metaclass=A ):
"""simple docstring"""
__a = ["""sentencepiece"""]
def __init__( self : List[Any] , *UpperCamelCase : Union[str, An... | 139 |
"""simple docstring"""
from transformers import BertTokenizerFast
from .custom_tokenization import CustomTokenizer
class lowerCamelCase__ ( A ):
"""simple docstring"""
__a = CustomTokenizer
pass
| 139 | 1 |
'''simple docstring'''
import math
import time
from typing import Dict, List, Optional
from torch.utils.data import Dataset
from transformers import SeqaSeqTrainer, is_torch_tpu_available
from transformers.trainer_utils import PredictionOutput, speed_metrics
if is_torch_tpu_availabl... | 720 |
'''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
#
# ht... | 399 | 0 |
"""simple docstring"""
import argparse
import re
from pathlib import Path
import requests
import torch
from PIL import Image
from torchvision.transforms import CenterCrop, Compose, Normalize, Resize, ToTensor
from transformers import (
EfficientFormerConfig,
EfficientFormerForImageClassificationWithTea... | 95 | '''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.utils import floats_... | 152 | 0 |
'''simple docstring'''
from random import shuffle
import tensorflow as tf
from numpy import array
def UpperCAmelCase_ ( lowercase__ , lowercase__ ):
'''simple docstring'''
a_ =int(lowercase__ )
assert noofclusters < len(... | 41 |
'''simple docstring'''
from collections.abc import Sequence
def UpperCAmelCase_ ( lowercase__ = None ):
'''simple docstring'''
if nums is None or not nums:
raise ValueError("Input sequence should not be empty" )
a_ =n... | 41 | 1 |
"""simple docstring"""
import argparse
import json
import os
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_wa... | 65 |
"""simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import Au... | 65 | 1 |
import logging
import os
from typing import List, TextIO, Union
from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask
_lowerCAmelCase :str = logging.getLogger(__name__)
class UpperCAmelCase ( UpperCamelCase_ ):
'''simple ... | 717 | '''simple docstring'''
def __lowerCAmelCase ( a_ , a_ ) -> str:
'''simple docstring'''
if number < 0 or shift_amount < 0:
raise ValueError('both inputs must be positive integers' )
SCREAMING_SNAKE_CASE : str = ... | 179 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowerCamelCase :str = {
'configuration_swiftformer': [
'SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
'SwiftFormerConfig',
'Swift... | 487 |
import argparse
import torch
from torch import nn
from transformers import MBartConfig, MBartForConditionalGeneration
def __snake_case ( _UpperCamelCase ) -> Optional[Any]:
_a = [
'''encoder.version''',
'''decoder.version''',
'''model.encoder.version''',
... | 487 | 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
impo... | 319 |
'''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
__lowerCAmelCase = get_tests_dir("""fixtures/test_sent... | 319 | 1 |
"""simple docstring"""
from collections import defaultdict
def snake_case_ ( A_ : str, A_ : str ):
'''simple docstring'''
_lowerCamelCase : List[str] = first_str.lower().strip()
_lowerCamelCase : List[str] = ... | 83 |
'''simple docstring'''
import inspect
import unittest
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def __lowerCAmelCase ( self : Dict ) -> Dict:
'''simple docstring'''
try:
import diffusers ... | 688 | 0 |
'''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_docstri... | 715 | '''simple docstring'''
import inspect
import jax
import jax.lax as lax
import jax.numpy as jnp
from ..utils import add_start_docstrings
from ..utils.logging import get_logger
SCREAMING_SNAKE_CASE_ = get_logger(__name__)
SCREAMING_SNAKE_CASE_ = R'\n Args:\n input_ids (`jnp.ndarray` of sha... | 466 | 0 |
from ...processing_utils import ProcessorMixin
class __a ( A__ ):
_lowerCAmelCase : List[Any] = ['''image_processor''', '''feature_extractor''']
_lowerCAmelCase : Any = '''TvltImageProcessor'''
_lowerCAmelCase : List[str] = '''T... | 228 |
import inspect
import unittest
import warnings
from math import ceil, floor
from transformers import LevitConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.models.auto import get_values
from transformers.testing_utils import requ... | 228 | 1 |
from __future__ import annotations
import unittest
from transformers import BlenderbotConfig, BlenderbotTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configuration_common import Co... | 705 |
import coval # From: git+https://github.com/ns-moosavi/coval.git # noqa: F401
from coval.conll import reader, util
from coval.eval import evaluator
import datasets
_lowerCamelCase : Tuple = datasets.logging.get_logger(__name__)
_lowerCamelCase : Any ... | 157 | 0 |
from itertools import permutations
def snake_case (UpperCAmelCase__ ) -> bool:
if num[3] % 2 != 0:
return False
if (num[2] + num[3] + num[4]) % 3 != 0:
return False
if num[5] % 5 != 0:
return False
UpperCamelCase_: Optional[int] = [7, 1_1... | 57 | def _a ( lowercase__ : int = 60_08_51_47_51_43 ):
'''simple docstring'''
try:
SCREAMING_SNAKE_CASE__ : Dict = int(lowercase__ )
except (TypeError, ValueError):
raise TypeError('Parameter n must be int or castable to int.' )
if n <= 0:
... | 85 | 0 |
'''simple docstring'''
from pathlib import PurePosixPath
from typing import Optional
import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo
from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url
class a__ ( lowercase_... | 713 |
'''simple docstring'''
from manim import *
class a__ ( _lowercase ):
def lowercase__ (self : Optional[Any] ) -> str:
"""simple docstring"""
SCREAMING_SNAKE_CASE : List[Any] = Rectangle(height=0.5, width=0.5 )
SCREAMING_SNAKE_CASE : str ... | 355 | 0 |
import copy
from typing import Any, Dict, List, Optional, Union
import numpy as np
import torch
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import BatchFeature
fro... | 468 |
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Union[str, Any] = logging.get_logger(__name__)
__UpperCamelC... | 468 | 1 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCamelCase : Optional[int] = logging.get_logger(__name__)
lowerCamelCase : List[Any] = {
'facebook/xmod-ba... | 303 |
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils import TOKEN, USER, ge... | 303 | 1 |
'''simple docstring'''
import argparse
import torch
# Step 1. clone https://github.com/microsoft/unilm
# Step 2. git checkout to https://github.com/microsoft/unilm/commit/b94ec76c36f02fb2b0bf0dcb0b8554a2185173cd
# Step 3. cd unilm
# Step 4. ln -s $(realpath wavlm/modules.py) ./ # create simlink
# import ... | 38 |
'''simple docstring'''
from __future__ import annotations
import inspect
import unittest
from math import floor
import numpy as np
from transformers import CvtConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is... | 38 | 1 |
import argparse
import numpy as np
import torch
from transformers import SpeechTaHifiGan, SpeechTaHifiGanConfig, logging
logging.set_verbosity_info()
lowerCAmelCase__ = logging.get_logger("""transformers.models.speecht5""")
def lowerCamelCase_ ( UpperCAmelCase_ : Optional[An... | 648 |
import logging
from transformers.configuration_utils import PretrainedConfig
lowerCAmelCase__ = logging.getLogger(__name__)
class lowercase ( _lowercase ):
"""simple docstring"""
a__ = "masked_bert"
def __init__( self , __snake_case=3_05_22 , __s... | 648 | 1 |
'''simple docstring'''
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"google/umt5-small": "https://huggingface.co/go... | 11 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
a__ : str = {
'configuration_roformer': ['ROFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP'... | 188 | 0 |
'''simple docstring'''
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForP... | 513 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__snake_case =logging.get_logger(__name__)
__snake_case ={
"""google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
# See all CANINE ... | 513 | 1 |
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available
... | 524 | import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_funnel import FunnelTokenizer
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {'v... | 321 | 0 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def __snake_case ( ):
UpperCamelCase = ArgumentParser(
description=(
'''PyTorch TP... | 350 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def __snake_case ( ):
UpperCamelCase = ArgumentParser(
description=(
'''PyTorch TP... | 350 | 1 |
'''simple docstring'''
import random
import unittest
import numpy as np
import transformers
from transformers import is_flax_available, is_torch_available
from transformers.testing_utils import is_pt_flax_cross_test, require_flax
if is_flax_available():
import os
import jax.numpy as jnp
from jax import j... | 546 | '''simple docstring'''
def __lowerCAmelCase ( UpperCamelCase__ , UpperCamelCase__ ) -> float:
if digit_amount > 0:
return round(number - int(UpperCamelCase__ ) , UpperCamelCase__ )
return number - int(UpperCamelCase__ )
if __name__ == "__... | 546 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
__a : Union[str, Any] = {
"""google/tapas-base-finetuned-sqa""": (
"""https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json"""
),
"""google/tapas-base-finetu... | 704 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__a : Any = {
"""configuration_distilbert""": [
"""DISTILBERT... | 559 | 0 |
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.config import MAX_SHARD_SIZE
from datas... | 493 |
"""simple docstring"""
import logging
import os
from typing import List, Tuple
import numpy as np
import psutil
import torch
import torch.distributed as dist
from transformers import RagRetriever
SCREAMING_SNAKE_CASE : Tuple = logging.getLogger(__name__)
class __lowerCamelCase ( ... | 156 | 0 |
import string
def lowerCamelCase ( SCREAMING_SNAKE_CASE ):
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__UpperCamelCase :Any = ''''''
for symbol in message:
if symbol in string.ascii_uppercase:
__UpperCame... | 709 | import unittest
from transformers import EsmConfig, is_torch_available
from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipel... | 452 | 0 |
'''simple docstring'''
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 334 |
'''simple docstring'''
from typing import Callable, Dict, Optional, Tuple
import torch
from torch import nn
from torch.distributions import (
AffineTransform,
Distribution,
Independent,
NegativeBinomial,
Normal,
StudentT,
TransformedDistribution,
)
class __UpperCamelCase (... | 334 | 1 |
"""simple docstring"""
A_ = [
[0, 16, 13, 0, 0, 0],
[0, 0, 10, 12, 0, 0],
[0, 4, 0, 0, 14, 0],
[0, 0, 9, 0, 0, 20],
[0, 0, 0, 7, 0, 4],
[0, 0, 0, 0, 0, 0],
]
def UpperCAmelCase__ (snake_case__ : Tuple , snake_case__ : str ,... | 28 |
"""simple docstring"""
import argparse
import json
import torch
from diffusers import DDPMScheduler, LDMPipeline, UNetaDModel, VQModel
def UpperCAmelCase__ (snake_case__ : Optional[Any] , snake_case__ : Union[str, Any]=1 ):
"""simple docstring"""
if... | 28 | 1 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import is_flax_available
from transformers.testing_utils import require_flax
from ..test_modeling_flax_common import ids_tensor
if is_flax_available():
import jax
import jax.numpy as jnp
from transformer... | 50 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase : int = {'''configuration_ibert''': ['''IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''IBertConfig''', '''IBertOnnxConfig''']}
try:
if not is_torch_available():
... | 239 | 0 |
from itertools import product
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros
def UpperCAmelCase__ ( UpperCAmelCase__ :Any , UpperCAmelCase__ :int ):
'''simple docstring'''
a =... | 32 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A_ : str = logging.get_logger(__name__)
A_ : List[Any] = {
'''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
'''RWKV/rwkv-4-... | 32 | 1 |
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