code stringlengths 82 54.1k | code_codestyle int64 0 699 | style_context stringlengths 111 35.6k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase__ = {
'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
'tokenization_luke': ['LukeTokenizer'],
}
try:
if not is_torch_availabl... | 322 |
'''simple docstring'''
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
lowercase : int = logging.get_logger(__name__... | 634 | 0 |
'''simple docstring'''
def a__ ( lowerCAmelCase__ , lowerCAmelCase__ ) -> Optional[Any]:
return abs(snake_case__ ) if a == 0 else greatest_common_divisor(b % a , snake_case__ )
def a__ ( lowerCAmelCase__ , lowerCAmelCase__ ) -> Optional[int]:... | 75 |
'''simple docstring'''
import math
from collections.abc import Callable
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : float = xa
A : float = xa
while True:
... | 634 | 0 |
from __future__ import annotations
def __UpperCAmelCase ( __a : str ) -> List[str]:
"""simple docstring"""
if len(snake_case__ ) < 2:
raise ValueError('''Monogons and Digons are not polygons in the Euclidean space''' )
if any(i <= 0 for i in ... | 14 |
'''simple docstring'''
from random import randint, random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ , snake_case__ = False , snake_case__ = False , snake_case__ = 5 , ):
'''simple... | 634 | 0 |
"""simple docstring"""
import argparse
import torch
from datasets import load_dataset
from donut import DonutModel
from transformers import (
DonutImageProcessor,
DonutProcessor,
DonutSwinConfig,
DonutSwinModel,
MBartConfig,
MBartForCausalLM,
VisionEncoderDecoderModel,
XLMRob... | 438 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_commo... | 634 | 0 |
'''simple docstring'''
from random import randint
from tempfile import TemporaryFile
import numpy as np
def __lowerCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ ) -> Dict:
_a : List[str] = 0
if start < end:
_a : Any = randint(snake_case__ , s... | 358 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase : Tuple = {
'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
'tokenization_luke': ['Luk... | 634 | 0 |
import argparse
import torch
from transformers import (
EncodecConfig,
EncodecFeatureExtractor,
EncodecModel,
logging,
)
# checkpoints downloaded from:
# https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th
# https://huggingface.co/facebook/musicgen-small/resolve... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : Any = logging.get_logger(__name__)
lowercase : int = {
'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/res... | 634 | 0 |
"""simple docstring"""
import argparse
from collections import defaultdict
import yaml
UpperCAmelCase : Optional[Any] = 'docs/source/en/_toctree.yml'
def _SCREAMING_SNAKE_CASE (__lowerCAmelCase ) -> Optional[Any]:
'''simple docstring'''
lowercas... | 567 |
'''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... | 634 | 0 |
"""simple docstring"""
import argparse
import json
import os
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed
f... | 594 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : Optional[Any] = a[left_index]
A : List[str] = left_index + 1
for j in range(left... | 634 | 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 PreTrainedTokenizer
from ...utils import logging
a_ = logging.get_logger(__name__)
a_ = {'vocab_file': 'spiece.model... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import YolosConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_commo... | 634 | 0 |
'''simple docstring'''
__lowerCAmelCase : Dict ='\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers... | 440 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ ):
'''simple docstring'''
A, A, A : Any = [], [], []
for element in data:
if element < pivot:
less.append(snake_case__ ... | 634 | 0 |
from __future__ import annotations
def __lowercase ( snake_case ):
"""simple docstring"""
__magic_name__ :str = [True] * limit
__magic_name__ :List[Any] = False
__magic_name__ :List[str] = False
__magic_name__ :int = True
for i in range(3, in... | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
EncodecConfig,
EncodecFeatureExtractor,
EncodecModel,
logging,
)
# checkpoints downloaded from:
# https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th
# https://huggingface.co/faceb... | 634 | 0 |
from __future__ import annotations
from collections import namedtuple
def UpperCamelCase__ ( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ ) -> Tuple:
'''simple docstring'''
_lowercase : str = namedtuple('''result''' , '''name v... | 322 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase : Optional[Any] = logging.get_logger(__name__)
lowercase : int = {
'ut/deta': '... | 634 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
UpperCamelCase__ = {'configuration_encoder_decoder': ['EncoderDecoderConfig']}
try:
... | 75 |
'''simple docstring'''
import numpy
# List of input, output pairs
lowercase : Any = (
((5, 2, 3), 15),
((6, 5, 9), 25),
((11, 12, 13), 41),
((1, 1, 1), 8),
((11, 12, 13), 41),
)
lowercase : str = (((5_15, 22, 13), 5_55), ((61,... | 634 | 0 |
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def __UpperCAmelCase ( __a : Optional[int] ) -> Dict:
"""simple docstring"""
_a : Union[str, Any] = FileLock(str(tmpdir / '''foo.lock''' ) )
... | 14 |
'''simple docstring'''
import json
import os
import unittest
from transformers import DebertaTokenizer, DebertaTokenizerFast
from transformers.models.deberta.tokenization_deberta import VOCAB_FILES_NAMES
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTe... | 634 | 0 |
"""simple docstring"""
from unittest import TestCase
from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class lowerCAmelCase__ ( __snake_case ):
def __a ( self : str ):
'''simple docstring'''
return [
{"col_1"... | 438 |
'''simple docstring'''
import gc
import importlib.metadata
import tempfile
import unittest
from packaging import version
from transformers import (
AutoModel,
AutoModelForCausalLM,
AutoModelForSeqaSeqLM,
AutoModelForSequenceClassification,
AutoTokenizer,
BitsAndBytesCon... | 634 | 0 |
'''simple docstring'''
import unittest
from transformers import PegasusConfig, PegasusTokenizer, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
if is_flax... | 358 |
'''simple docstring'''
lowercase : dict[str, float] = {
"joule": 1.0,
"kilojoule": 10_00,
"megajoule": 1_00_00_00,
"gigajoule": 10_00_00_00_00,
"wattsecond": 1.0,
"watthour": 36_00,
"kilowatthour": 3_60_00_00,
"newtonmeter": 1.0,
"calorie... | 634 | 0 |
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_tokenizers
... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : List[str] = logging.get_logger(__name__)
lowercase : Optional[int] = {
'google/switch-base-8': 'https://huggingface.co/google/s... | 634 | 0 |
"""simple docstring"""
import argparse
import json
from collections import OrderedDict
from functools import partial
from pathlib import Path
import timm
import torch
from huggingface_hub import hf_hub_download
from transformers import LevitConfig, LevitForImageClassificationWithTeacher, LevitImage... | 567 |
'''simple docstring'''
from __future__ import annotations
import random
import unittest
from transformers import TransfoXLConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TF... | 634 | 0 |
"""simple docstring"""
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .tr... | 594 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
... | 634 | 0 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common impor... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import ViTConfig
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is... | 634 | 0 |
'''simple docstring'''
class UpperCAmelCase :
def __init__( self :List[str] )-> None:
A__ = {} # Mapping from char to TrieNode
A__ = False
def UpperCAmelCase_ ( self :int , lowercase_ :Dict )-> None:
for word in words:
sel... | 440 |
'''simple docstring'''
def lowerCAmelCase_ ( snake_case__ ):
'''simple docstring'''
if len(snake_case__ ) <= 1:
return [tuple(snake_case__ )]
A : int = []
def generate(snake_case__ , snake_case__ ):
if k == 1:
... | 634 | 0 |
import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union
import torch
from ..utils import BaseOutput
SCREAMING_SNAKE_CASE__ : Optional[int] = 'scheduler_config.json'
class lowerCamelCase_ ( __snake_case ):
a__ ... | 0 |
'''simple docstring'''
import fire
from utils import calculate_rouge, save_json
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__=None , **snake_case__ ):
'''simple docstring'''
A : Optional[Any] = [... | 634 | 0 |
def UpperCamelCase__ ( UpperCAmelCase_ = 100 ) -> str:
'''simple docstring'''
_lowercase : str = n * (n + 1) * (2 * n + 1) / 6
_lowercase : int = (n * (n + 1) / 2) ** 2
return int(square_of_sum - sum_of_squares ... | 322 |
'''simple docstring'''
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
lowercase : int = logging.get_logger(__name__... | 634 | 0 |
'''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
... | 75 |
'''simple docstring'''
import math
from collections.abc import Callable
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : float = xa
A : float = xa
while True:
... | 634 | 0 |
import numpy
# List of input, output pairs
a__ = (
((5, 2, 3), 15),
((6, 5, 9), 25),
((11, 12, 13), 41),
((1, 1, 1), 8),
((11, 12, 13), 41),
)
a__ = (((515, 22, 13), 555), ((61, 35, 49), 150))
a__ = [2, 4, 1, 5]
a__ = l... | 14 |
'''simple docstring'''
from random import randint, random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ , snake_case__ = False , snake_case__ = False , snake_case__ = 5 , ):
'''simple... | 634 | 0 |
"""simple docstring"""
import copy
import tempfile
import unittest
from transformers import MaMaaaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from transformers.utils import cached_property
from ...generation.t... | 438 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_commo... | 634 | 0 |
'''simple docstring'''
import argparse
import logging
import sys
from unittest.mock import patch
import run_glue_deebert
from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow
logging.basicConfig(level=logging.DEBUG)
__lowerCAmelCase = logging.getLogger()
... | 358 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase : Tuple = {
'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
'tokenization_luke': ['Luk... | 634 | 0 |
import importlib.util
import os
import platform
from argparse import ArgumentParser
import huggingface_hub
from .. import __version__ as version
from ..utils import (
is_accelerate_available,
is_flax_available,
is_safetensors_available,
is_tf_available,
is_torch_available,
)
... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : Any = logging.get_logger(__name__)
lowercase : int = {
'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/res... | 634 | 0 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, I... | 567 |
'''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... | 634 | 0 |
"""simple docstring"""
import math
class __lowercase:
'''simple docstring'''
def __init__( self , __a=0 ): # a graph with Node 0,1,...,N-1
__lowerCamelCase : Any = n
__lowerCamelCase : Tuple = [
[math.i... | 594 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : Optional[Any] = a[left_index]
A : List[str] = left_index + 1
for j in range(left... | 634 | 0 |
'''simple docstring'''
import json
import os
import unittest
from transformers import DebertaTokenizer, DebertaTokenizerFast
from transformers.models.deberta.tokenization_deberta import VOCAB_FILES_NAMES
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTesterMix... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import YolosConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_commo... | 634 | 0 |
'''simple docstring'''
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 ModelT... | 440 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ ):
'''simple docstring'''
A, A, A : Any = [], [], []
for element in data:
if element < pivot:
less.append(snake_case__ ... | 634 | 0 |
from itertools import zip_longest
import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def __lowercase ( snake_case = "laptop" ):
"""simple docstring"""
__magic_name__ :Optional[Any] = f'''https://www.amazon.in/laptop/s?k={product}'''
__magic_name... | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
EncodecConfig,
EncodecFeatureExtractor,
EncodecModel,
logging,
)
# checkpoints downloaded from:
# https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th
# https://huggingface.co/faceb... | 634 | 0 |
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def UpperCamelCase__ ( ) -> Optional[int]:
'''simple docstring'''
with offline(OfflineSimul... | 322 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase : Optional[Any] = logging.get_logger(__name__)
lowercase : int = {
'ut/deta': '... | 634 | 0 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
UpperCamelCase__ = list[list[float | int]]
def a__ ( lowerCAmelCase__ , lowerCAmelCase__ ) -> List[Any]:
UpperCAmelCase__ : int = len(snake_cas... | 75 |
'''simple docstring'''
import numpy
# List of input, output pairs
lowercase : Any = (
((5, 2, 3), 15),
((6, 5, 9), 25),
((11, 12, 13), 41),
((1, 1, 1), 8),
((11, 12, 13), 41),
)
lowercase : str = (((5_15, 22, 13), 5_55), ((61,... | 634 | 0 |
import inspect
import unittest
from datasets import load_dataset
from packaging import version
from transformers import BeitConfig
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transfo... | 14 |
'''simple docstring'''
import json
import os
import unittest
from transformers import DebertaTokenizer, DebertaTokenizerFast
from transformers.models.deberta.tokenization_deberta import VOCAB_FILES_NAMES
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTe... | 634 | 0 |
"""simple docstring"""
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_lowerCAmelCase : Dict = logging.get_logger(__name__)
# TODO Update this
_lowerCAmelCase : Tuple = {
'facebook/e... | 438 |
'''simple docstring'''
import gc
import importlib.metadata
import tempfile
import unittest
from packaging import version
from transformers import (
AutoModel,
AutoModelForCausalLM,
AutoModelForSeqaSeqLM,
AutoModelForSequenceClassification,
AutoTokenizer,
BitsAndBytesCon... | 634 | 0 |
'''simple docstring'''
import unittest
from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch
class __magic_name__ ( unittest.TestCase ):
lowerCAmelCase : Dict = JukeboxTokenizer
lowerCAmelCase : Optional[int] =... | 358 |
'''simple docstring'''
lowercase : dict[str, float] = {
"joule": 1.0,
"kilojoule": 10_00,
"megajoule": 1_00_00_00,
"gigajoule": 10_00_00_00_00,
"wattsecond": 1.0,
"watthour": 36_00,
"kilowatthour": 3_60_00_00,
"newtonmeter": 1.0,
"calorie... | 634 | 0 |
import numpy as np
from PIL import Image
def SCREAMING_SNAKE_CASE_ ( _snake_case :List[str] , _snake_case :int , _snake_case :int ) -> Dict:
_A = np.array(snake_case__ )
if arr.shape[0] != arr.shape[1]:
raise ValueError('''The input array is not a square matri... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : List[str] = logging.get_logger(__name__)
lowercase : Optional[int] = {
'google/switch-base-8': 'https://huggingface.co/google/s... | 634 | 0 |
"""simple docstring"""
import copy
import inspect
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import TimesformerConfig
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_vision, slow, torc... | 567 |
'''simple docstring'''
from __future__ import annotations
import random
import unittest
from transformers import TransfoXLConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TF... | 634 | 0 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta imp... | 594 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
... | 634 | 0 |
'''simple docstring'''
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
a_ = '\\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex ... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import ViTConfig
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is... | 634 | 0 |
'''simple docstring'''
def UpperCamelCase ( _lowerCamelCase : Any ):
A__ = [False] * len(snake_case__ )
A__ = [-1] * len(snake_case__ )
def dfs(_lowerCamelCase : List[str] , _lowerCamelCase : Dict ):
A__ = True
A__ ... | 440 |
'''simple docstring'''
def lowerCAmelCase_ ( snake_case__ ):
'''simple docstring'''
if len(snake_case__ ) <= 1:
return [tuple(snake_case__ )]
A : int = []
def generate(snake_case__ , snake_case__ ):
if k == 1:
... | 634 | 0 |
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
SCREAMING_SNAKE_CASE__ : str = logging.get_logger(__name__)
SCREAMING_SNAKE_CASE__ : str = {
'Salesforce/blip-vqa-base': 'https://huggingface.co/Salesforce... | 0 |
'''simple docstring'''
import fire
from utils import calculate_rouge, save_json
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__=None , **snake_case__ ):
'''simple docstring'''
A : Optional[Any] = [... | 634 | 0 |
import pickle
import numpy as np
from matplotlib import pyplot as plt
class UpperCAmelCase__ :
'''simple docstring'''
def __init__( self : Any , UpperCamelCase : List[Any] , UpperCamelCase : Any , UpperCamelCase : str ... | 322 |
'''simple docstring'''
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
lowercase : int = logging.get_logger(__name__... | 634 | 0 |
'''simple docstring'''
from collections import Counter
from pathlib import Path
from typing import Optional, Tuple
import yaml
class lowerCamelCase_ ( yaml.SafeLoader ):
def lowercase_ ( self : Tuple , _A : Optional[int] ):
... | 75 |
'''simple docstring'''
import math
from collections.abc import Callable
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : float = xa
A : float = xa
while True:
... | 634 | 0 |
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... | 14 |
'''simple docstring'''
from random import randint, random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ , snake_case__ = False , snake_case__ = False , snake_case__ = 5 , ):
'''simple... | 634 | 0 |
"""simple docstring"""
from torch import nn
def SCREAMING_SNAKE_CASE__ ( snake_case : Union[str, Any] )-> Any:
'''simple docstring'''
if act_fn in ["swish", "silu"]:
return nn.SiLU()
elif act_fn == "mish":
return nn.Mish()
elif act_fn == "ge... | 438 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_commo... | 634 | 0 |
'''simple docstring'''
import inspect
import unittest
from transformers import MobileNetVaConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_common impor... | 358 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase : Tuple = {
'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
'tokenization_luke': ['Luk... | 634 | 0 |
import argparse
import gc
import json
import os
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed
from accelerate ... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : Any = logging.get_logger(__name__)
lowercase : int = {
'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/res... | 634 | 0 |
"""simple docstring"""
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
fr... | 567 |
'''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... | 634 | 0 |
"""simple docstring"""
from typing import List, Union
import numpy as np
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, logging
from .base import PIPELINE_INIT_ARGS, ArgumentHandler, ChunkPipeline
a_ : Union[str, Any] = logging.get_logger(__name__)
... | 594 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : Optional[Any] = a[left_index]
A : List[str] = left_index + 1
for j in range(left... | 634 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
a_ = {'configuration_plbart': ['PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP', 'PLBartCo... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import YolosConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_commo... | 634 | 0 |
'''simple docstring'''
import os
from pathlib import Path
def UpperCamelCase ( ):
from torch.utils.cpp_extension import load
A__ = Path(snake_case__ ).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
A__ = [
root / filename
... | 440 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ ):
'''simple docstring'''
A, A, A : Any = [], [], []
for element in data:
if element < pivot:
less.append(snake_case__ ... | 634 | 0 |
from collections import defaultdict
from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst
def __lowercase ( ):
"""simple docstring"""
__magic_name__ :Optional[Any] = 9, 1_4 # noqa: F841
__magic_name__ :Optional[int] = [
[0, 1, 4],
[... | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
EncodecConfig,
EncodecFeatureExtractor,
EncodecModel,
logging,
)
# checkpoints downloaded from:
# https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th
# https://huggingface.co/faceb... | 634 | 0 |
def UpperCamelCase__ ( UpperCAmelCase_ , UpperCAmelCase_ ) -> Tuple:
'''simple docstring'''
_lowercase : int = len(snake_case__ )
_lowercase : int = len(snake_case__ )
_lowercase : int ... | 322 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase : Optional[Any] = logging.get_logger(__name__)
lowercase : int = {
'ut/deta': '... | 634 | 0 |
'''simple docstring'''
import argparse
import os
from io import BytesIO
from pathlib import Path
import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm
def a__ ( lowerCAmelCase__ , lowerCAmelCase__ , lowerCAmelCase__ ) ... | 75 |
'''simple docstring'''
import numpy
# List of input, output pairs
lowercase : Any = (
((5, 2, 3), 15),
((6, 5, 9), 25),
((11, 12, 13), 41),
((1, 1, 1), 8),
((11, 12, 13), 41),
)
lowercase : str = (((5_15, 22, 13), 5_55), ((61,... | 634 | 0 |
def __UpperCAmelCase ( __a : int ) -> List[Any]:
"""simple docstring"""
if length <= 0 or not isinstance(snake_case__ ,snake_case__ ):
raise ValueError('''Length must be a positive integer.''' )
return [n * (2 * n - 1) for n in range(snake_case... | 14 |
'''simple docstring'''
import json
import os
import unittest
from transformers import DebertaTokenizer, DebertaTokenizerFast
from transformers.models.deberta.tokenization_deberta import VOCAB_FILES_NAMES
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTe... | 634 | 0 |
"""simple docstring"""
import unittest
import numpy as np
from transformers import AlbertConfig, 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... | 438 |
'''simple docstring'''
import gc
import importlib.metadata
import tempfile
import unittest
from packaging import version
from transformers import (
AutoModel,
AutoModelForCausalLM,
AutoModelForSeqaSeqLM,
AutoModelForSequenceClassification,
AutoTokenizer,
BitsAndBytesCon... | 634 | 0 |
'''simple docstring'''
import dataclasses
import re
import string
from typing import Any, Dict, Iterator, List, Mapping, Optional, Sequence, Tuple
import numpy as np
from . import residue_constants
__lowerCAmelCase = Mapping[str, np.ndarray]
__lowerCAmelCase = Mapping[str, Any] # Is a nested dic... | 358 |
'''simple docstring'''
lowercase : dict[str, float] = {
"joule": 1.0,
"kilojoule": 10_00,
"megajoule": 1_00_00_00,
"gigajoule": 10_00_00_00_00,
"wattsecond": 1.0,
"watthour": 36_00,
"kilowatthour": 3_60_00_00,
"newtonmeter": 1.0,
"calorie... | 634 | 0 |
import math
def SCREAMING_SNAKE_CASE_ ( _snake_case :Optional[Any] , _snake_case :Optional[Any] ) -> List[Any]:
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * math.logaa(snake_case__ )
else:
if x == 0: # 0 r... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : List[str] = logging.get_logger(__name__)
lowercase : Optional[int] = {
'google/switch-base-8': 'https://huggingface.co/google/s... | 634 | 0 |
"""simple docstring"""
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
UpperCAmelCase : Op... | 567 |
'''simple docstring'''
from __future__ import annotations
import random
import unittest
from transformers import TransfoXLConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TF... | 634 | 0 |
"""simple docstring"""
import random
import unittest
import torch
from diffusers import IFImgaImgSuperResolutionPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device
from ..pipeline_param... | 594 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
... | 634 | 0 |
'''simple docstring'''
import math
from typing import Optional
import numpy as np
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a_ = logging.get_logger(__name__)
a_ = {
'facebook/encodec_24khz': 'https://huggingface.co/facebook/encodec_24khz/resolve/ma... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import ViTConfig
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is... | 634 | 0 |
'''simple docstring'''
import os
import tempfile
import unittest
from pathlib import Path
from transformers import AutoConfig, is_torch_available
from transformers.testing_utils import require_torch, torch_device
if is_torch_available():
from transformers import PyTorchBenchmark, PyTorchBenchmarkArguments
... | 440 |
'''simple docstring'''
def lowerCAmelCase_ ( snake_case__ ):
'''simple docstring'''
if len(snake_case__ ) <= 1:
return [tuple(snake_case__ )]
A : int = []
def generate(snake_case__ , snake_case__ ):
if k == 1:
... | 634 | 0 |
import math
def __lowercase ( snake_case, snake_case ):
"""simple docstring"""
if initial_intensity < 0:
raise ValueError('''The value of intensity cannot be negative''' )
# handling of negative values of initial intensity
if angle < 0 or angle > 3_6_0:
... | 0 |
'''simple docstring'''
import fire
from utils import calculate_rouge, save_json
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__=None , **snake_case__ ):
'''simple docstring'''
A : Optional[Any] = [... | 634 | 0 |
from typing import TYPE_CHECKING
import torch
from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool
if TYPE_CHECKING:
from PIL import Image
class UpperCAmelCase__ ( __snake_case ):
'''simple docstring''... | 322 |
'''simple docstring'''
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
lowercase : int = logging.get_logger(__name__... | 634 | 0 |
'''simple docstring'''
def a__ ( lowerCAmelCase__ ) -> List[Any]:
if not isinstance(snake_case__ , snake_case__ ):
raise TypeError('''Input value must be an \'int\' type''' )
UpperCAmelCase__ : Tuple = 0
while number:
position... | 75 |
'''simple docstring'''
import math
from collections.abc import Callable
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : float = xa
A : float = xa
while True:
... | 634 | 0 |
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)
a__ = logging.getLogger()
def __UpperCAmelCase ( __a... | 14 |
'''simple docstring'''
from random import randint, random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ , snake_case__ = False , snake_case__ = False , snake_case__ = 5 , ):
'''simple... | 634 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
clas... | 438 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_commo... | 634 | 0 |
'''simple docstring'''
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class __magic_name__ ( __snake_case ):
@staticmethod
@abstractmethod
def __lowercase ( _UpperCAmelCase : Any ):
raise NotImplementedError()
... | 358 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase : Tuple = {
'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
'tokenization_luke': ['Luk... | 634 | 0 |
import torch
from diffusers import EulerDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class lowerCamelCase__ ( __snake_case):
"""simple docstring"""
a__ : List[Any] = (EulerDiscreteScheduler,)
a__ : str = 10... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : Any = logging.get_logger(__name__)
lowercase : int = {
'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/res... | 634 | 0 |
"""simple docstring"""
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase : str = logging.get_logger(__name__)
UpperCAmelCase : List[Any] = {
'asapp/sew-tiny-100k': 'https://huggingface.co/asap... | 567 |
'''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... | 634 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
a_ : int = {
'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MA... | 594 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : Optional[Any] = a[left_index]
A : List[str] = left_index + 1
for j in range(left... | 634 | 0 |
'''simple docstring'''
from ...utils import deprecate
from ..controlnet.pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline # noqa: F401
deprecate(
'stable diffusion controlnet',
'0.22.0',
'Importing `FlaxStableDiffusionControlNetPipeline` from diffusers.pipelines.stable_dif... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import YolosConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_commo... | 634 | 0 |
'''simple docstring'''
import argparse
from collections import defaultdict
import yaml
__lowerCAmelCase : List[Any] ='docs/source/en/_toctree.yml'
def UpperCamelCase ( _lowerCamelCase : Tuple ):
A__ = defaultdict(snake_case__ )
for doc in model_doc:... | 440 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ ):
'''simple docstring'''
A, A, A : Any = [], [], []
for element in data:
if element < pivot:
less.append(snake_case__ ... | 634 | 0 |
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
SCREAMING_SNAKE_CASE__ : List[Any] = logging.get_logger(__n... | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
EncodecConfig,
EncodecFeatureExtractor,
EncodecModel,
logging,
)
# checkpoints downloaded from:
# https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th
# https://huggingface.co/faceb... | 634 | 0 |
UpperCamelCase__ = 'Alexander Joslin'
import operator as op
from .stack import Stack
def UpperCamelCase__ ( UpperCAmelCase_ ) -> Any:
'''simple docstring'''
_lowercase : Optional[Any] = {'''*''': op.mul, '''/''': op.truediv, '''+'''... | 322 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase : Optional[Any] = logging.get_logger(__name__)
lowercase : int = {
'ut/deta': '... | 634 | 0 |
'''simple docstring'''
from argparse import ArgumentParser
from ..pipelines import Pipeline, PipelineDataFormat, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
UpperCamelCase__ = logging.get_logger(__name__) # pylint: disable=invalid-name
... | 75 |
'''simple docstring'''
import numpy
# List of input, output pairs
lowercase : Any = (
((5, 2, 3), 15),
((6, 5, 9), 25),
((11, 12, 13), 41),
((1, 1, 1), 8),
((11, 12, 13), 41),
)
lowercase : str = (((5_15, 22, 13), 5_55), ((61,... | 634 | 0 |
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def __UpperCAmelCase ( __a : Union[str, Any] ) -> List[Any]:
"""simple docstring"""
return DownloadCommand(args.model ,args.cache_dir ,args.force ,args.trust_remote_code ... | 14 |
'''simple docstring'''
import json
import os
import unittest
from transformers import DebertaTokenizer, DebertaTokenizerFast
from transformers.models.deberta.tokenization_deberta import VOCAB_FILES_NAMES
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTe... | 634 | 0 |
"""simple docstring"""
import json
import os
import unittest
from typing import Tuple
from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPh... | 438 |
'''simple docstring'''
import gc
import importlib.metadata
import tempfile
import unittest
from packaging import version
from transformers import (
AutoModel,
AutoModelForCausalLM,
AutoModelForSeqaSeqLM,
AutoModelForSequenceClassification,
AutoTokenizer,
BitsAndBytesCon... | 634 | 0 |
'''simple docstring'''
def __lowerCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) -> List[str]:
if len(snake_case__ ) != len(snake_case__ ):
raise ValueError('String lengths must match!' )
_a : int = 0
for chara, chara in zip(snake_case__ , snake_case__ ):
... | 358 |
'''simple docstring'''
lowercase : dict[str, float] = {
"joule": 1.0,
"kilojoule": 10_00,
"megajoule": 1_00_00_00,
"gigajoule": 10_00_00_00_00,
"wattsecond": 1.0,
"watthour": 36_00,
"kilowatthour": 3_60_00_00,
"newtonmeter": 1.0,
"calorie... | 634 | 0 |
import itertools
import string
from collections.abc import Generator, Iterable
def SCREAMING_SNAKE_CASE_ ( _snake_case :List[Any] , _snake_case :List[Any] ) -> Union[str, Any]:
_A = iter(snake_case__ )
while True:
_A = tuple(itertools.islice(snake_ca... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : List[str] = logging.get_logger(__name__)
lowercase : Optional[int] = {
'google/switch-base-8': 'https://huggingface.co/google/s... | 634 | 0 |
"""simple docstring"""
import argparse
import torch
from transformers import LxmertConfig, LxmertForPreTraining, load_tf_weights_in_lxmert
from transformers.utils import logging
logging.set_verbosity_info()
def _SCREAMING_SNAKE_CASE (__lowerCAmelCase , __lowerCAmelCase , __lowerCA... | 567 |
'''simple docstring'''
from __future__ import annotations
import random
import unittest
from transformers import TransfoXLConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TF... | 634 | 0 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...... | 594 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
... | 634 | 0 |
'''simple docstring'''
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def __UpperCAmelCase (*lowercase__ ,lowercase__ = None ,lowercase__=True ,lowercase__=2 ) -> Any:
'''simple docstring'''
from... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import ViTConfig
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is... | 634 | 0 |
'''simple docstring'''
def UpperCamelCase ( ):
A__ = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
A__ = 6
A__ = 1
A__ = 19_01
A__ = 0
while year < 20_01:
day += 7
if (year % 4 == 0 and year % 1_00 != 0) o... | 440 |
'''simple docstring'''
def lowerCAmelCase_ ( snake_case__ ):
'''simple docstring'''
if len(snake_case__ ) <= 1:
return [tuple(snake_case__ )]
A : int = []
def generate(snake_case__ , snake_case__ ):
if k == 1:
... | 634 | 0 |
import math
from collections.abc import Callable
def __lowercase ( snake_case, snake_case, snake_case ):
"""simple docstring"""
__magic_name__ :float = xa
__magic_name__ :float = xa
while True:
if x_n == x_na or function(snake_case__ ) == function(sna... | 0 |
'''simple docstring'''
import fire
from utils import calculate_rouge, save_json
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__=None , **snake_case__ ):
'''simple docstring'''
A : Optional[Any] = [... | 634 | 0 |
import math
import tensorflow as tf
from packaging import version
def UpperCamelCase__ ( UpperCAmelCase_ ) -> Optional[int]:
'''simple docstring'''
_lowercase : int = tf.convert_to_tensor(snake_case__ )
_lowercase : List[str] ... | 322 |
'''simple docstring'''
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
lowercase : int = logging.get_logger(__name__... | 634 | 0 |
'''simple docstring'''
import json
import logging
import os
import socket
import git
import numpy as np
import torch
logging.basicConfig(
format='''%(asctime)s - %(levelname)s - %(name)s - PID: %(process)d - %(message)s''',
datefmt='''%m/%d/%Y %H:%M:%S''',
level=logging.INFO,
)
Upp... | 75 |
'''simple docstring'''
import math
from collections.abc import Callable
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : float = xa
A : float = xa
while True:
... | 634 | 0 |
from sympy import diff, lambdify, symbols
from sympy.functions import * # noqa: F403
def __UpperCAmelCase ( __a : Optional[int] ,__a : int ,__a : List[Any] = "x" ,__a : Dict = 10**-10 ,__a : Tuple = 1 ,) -> List[Any]:
"""simple docstring""... | 14 |
'''simple docstring'''
from random import randint, random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ , snake_case__ = False , snake_case__ = False , snake_case__ = 5 , ):
'''simple... | 634 | 0 |
"""simple docstring"""
import re
from ..utils import cached_file
# docstyle-ignore
_lowerCAmelCase : Tuple = '\nHuman: <<task>>\n\nAssistant: '
_lowerCAmelCase : Union[str, Any] = 'huggingface-tools/default-prompts'
_lowerCAmelCase : int = {'chat': 'chat_prompt_template.txt', 'run... | 438 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_commo... | 634 | 0 |
'''simple docstring'''
import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional
import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset
from tra... | 358 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase : Tuple = {
'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
'tokenization_luke': ['Luk... | 634 | 0 |
import warnings
from ...utils import logging
from .image_processing_yolos import YolosImageProcessor
UpperCAmelCase_ = logging.get_logger(__name__)
class lowerCamelCase__ ( __snake_case):
"""simple docstring"""
def __init__( self : Any , *__lowerCAmelCase... | 2 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase : Any = logging.get_logger(__name__)
lowercase : int = {
'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/res... | 634 | 0 |
"""simple docstring"""
from math import pi, sqrt
def _SCREAMING_SNAKE_CASE (__lowerCAmelCase ) -> List[Any]:
'''simple docstring'''
if num <= 0:
raise ValueError("""math domain error""" )
if num > 1_71.5:
raise OverflowError("""math range error""" ... | 567 |
'''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... | 634 | 0 |
"""simple docstring"""
import gc
import importlib.metadata
import tempfile
import unittest
from packaging import version
from transformers import (
AutoModel,
AutoModelForCausalLM,
AutoModelForSeqaSeqLM,
AutoModelForSequenceClassification,
AutoTokenizer,
BitsAndBytesConfig,
pipeline,
... | 594 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ , snake_case__ ):
'''simple docstring'''
A : Optional[Any] = a[left_index]
A : List[str] = left_index + 1
for j in range(left... | 634 | 0 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import is_speech_available
from transformers.testing_utils import require_torch, require_torchaudio
from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
if is_... | 685 |
'''simple docstring'''
import inspect
import unittest
from transformers import YolosConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_commo... | 634 | 0 |
'''simple docstring'''
from __future__ import annotations
def UpperCamelCase ( _lowerCamelCase : Union[str, Any] , _lowerCamelCase : List[str] , _lowerCamelCase : Optional[Any] ):
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError("One and only... | 440 |
'''simple docstring'''
import random
def lowerCAmelCase_ ( snake_case__ , snake_case__ ):
'''simple docstring'''
A, A, A : Any = [], [], []
for element in data:
if element < pivot:
less.append(snake_case__ ... | 634 | 0 |
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all feature extractors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_remote_code
from ...... | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
EncodecConfig,
EncodecFeatureExtractor,
EncodecModel,
logging,
)
# checkpoints downloaded from:
# https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th
# https://huggingface.co/faceb... | 634 | 0 |
from queue import Queue
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from ..models.auto import AutoTokenizer
class UpperCAmelCase__ :
'''simple docstring'''
def lowerCAmelCase_ ( self : List[Any] , UpperCamelCase : List[Any] ):
... | 322 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase : Optional[Any] = logging.get_logger(__name__)
lowercase : int = {
'ut/deta': '... | 634 | 0 |
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