code stringlengths 86 54.5k | code_codestyle int64 0 371 | style_context stringlengths 87 49.2k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
lowerCAmelCase = (
'''4S 3H 2C 7S 5H''',
'''9D 8H 2C 6S 7H''',
'''2D 6D 9D TH 7D''',
'''TC 8C 2S JH 6C''',
'''JH 8S TH AH QH''',
'''TS KS 5S 9S AC''',
'''KD 6S 9D T... | 356 |
from __future__ import annotations
import json
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
lowerCAmelCase = {'''UserAgent''': UserAgent().random}
def _lowerCamelCase( lowercase__ ) -> dict:
'''simple docstring'''
__lowercase= scr... | 304 | 0 |
import gc
import unittest
import numpy as np
import torch
import torch.nn.functional as F
from transformers import (
ClapTextConfig,
ClapTextModelWithProjection,
RobertaTokenizer,
SpeechTaHifiGan,
SpeechTaHifiGanConfig,
)
from diffusers import (
AudioLDMPipeline,
AutoencoderKL,
DDIM... | 357 |
from typing import Any
import numpy as np
def _lowerCamelCase( lowercase__ ) -> bool:
'''simple docstring'''
return np.array_equal(lowercase__ , matrix.conjugate().T )
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Any:
'''sim... | 304 | 0 |
import string
import numpy
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Optional[Any]:
'''simple docstring'''
return b if a == 0 else greatest_common_divisor(b % a , lowercase__ )
class A :
UpperCamelCase_ : List[Any] =string.a... | 358 |
from math import ceil
from typing import List, Optional, Union
import numpy as np
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import BatchFeature, SequenceFeatureExtractor
from ...utils import TensorType, logging
lowerCAmelCase = logging.... | 304 | 0 |
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_speech_available():
from tr... | 359 |
# 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 applic... | 304 | 0 |
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,
headerrow=DataRow('''''', '''|''', '''|'''),
datarow=Da... | 360 |
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from ... | 304 | 0 |
from __future__ import annotations
def _lowerCamelCase( lowercase__ , lowercase__ = None ) -> list[list[str]]:
'''simple docstring'''
__lowercase= word_bank or []
# create a table
__lowercase= len(a__ ) + 1
__lowercase= []
for _ in range(a__ ... | 361 |
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
lowerCAmelCase = False
class A ( unittest.TestCase ):
pass
@... | 304 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
lowerCAmelCase = logging.get_logger(__name__)
lowerCAmelCase = {
'''shi-labs/nat-mini-in1k-224''': '''https://huggingface... | 362 |
# 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 applic... | 304 | 0 |
"""simple docstring"""
import collections
from typing import List, Optional, Union
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, add_end_docstrings, add_start_docstrings, logging
from ..bert.tokenization_bert import BertTokenizer
lowerCAmelCase = logging.get_logger(... | 363 |
import math
from datetime import datetime, timedelta
def _lowerCamelCase( lowercase__ ) -> datetime:
'''simple docstring'''
__lowercase= year % 1_9
__lowercase= year % 4
__lowercase= year % 7
__lowercase= math.floor(year / 1_0_0 )
__lowercase= ... | 304 | 0 |
import warnings
from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline # noqa F401
warnings.warn(
'''The `inpainting.py` script is outdated. Please use directly `from diffusers import'''
''' StableDiffusionInpaintPipeline` instead.'''
)
| 364 |
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...file_utils import TensorType, is_torch_available
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.ut... | 304 | 0 |
import unittest
from transformers import MraConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_torch_... | 365 |
from math import factorial, radians
def _lowerCamelCase( lowercase__ , lowercase__ = 1_8 , lowercase__ = 1_0 ) -> float:
'''simple docstring'''
__lowercase= angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)
# Converting from degrees to radians
__l... | 304 | 0 |
from __future__ import annotations
import pandas as pd
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ ) -> list[int]:
'''simple docstring'''
__lowercase= [0] * no_of_processes
__lowercase= [0] * no_of_processes
# Copy the burst time in... | 366 |
lowerCAmelCase = [
9_9_9,
8_0_0,
7_9_9,
6_0_0,
5_9_9,
5_0_0,
4_0_0,
3_9_9,
3_7_7,
3_5_5,
3_3_3,
3_1_1,
2_8_8,
2_6_6,
2_4_4,
2_2_2,
2_0_0,
1_9_9,
1_7_7,
1_5_5,
1_3_3,
1_1_1,
8_8,
6_6,
4_4,
2_2,
0,
]
lowerC... | 304 | 0 |
"""simple docstring"""
import logging
import math
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union
import torch
from .tensor_utils import tensor_tree_map, tree_map
def _lowerCamelCase( lowercase__ ) -> List[Tuple[int... | 367 |
from __future__ import annotations
import numpy as np
def _lowerCamelCase( lowercase__ ) -> str:
'''simple docstring'''
return np.maximum(0 , lowercase__ )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0, 5]
| 304 | 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
lowerCAmelCase = '''scheduler_config.json'''
class A ( A_ ):
UpperCamelCase_ : List[Any] =1
... | 368 |
def _lowerCamelCase( lowercase__ = 1_0_0_0 ) -> int:
'''simple docstring'''
__lowercase= 2**power
__lowercase= str(lowercase__ )
__lowercase= list(lowercase__ )
__lowercase= 0
for i in list_num:
sum_of_num += int(lowercase__ )
return sum_o... | 304 | 0 |
import unittest
import numpy as np
from transformers.testing_utils import is_flaky, require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_available():
impo... | 369 |
import logging
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import datasets
import numpy as np
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
EvalPrediction,
HfArgumentParser,
PreTrainedTokenizer,
TFAutoModelForSequenceC... | 304 | 0 |
def _lowerCamelCase( lowercase__ = 1_0_0_0_0_0_0 ) -> Any:
'''simple docstring'''
__lowercase= [i - 1 for i in range(limit + 1 )]
for i in range(2 , limit + 1 ):
if phi[i] == i - 1:
for j in range(2 * i , limit + 1 , lowercase__ ):
... | 370 |
import inspect
import unittest
from math import floor
from transformers import CvtConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common import Con... | 304 | 0 |
class A :
"""simple docstring"""
def __init__(self ):
__lowercase= """"""
__lowercase= """"""
__lowercase= []
def _A (self , lowerCAmelCase , lowerCAmelCase ):
if m == -1:
return n + 1
elif... | 371 |
# 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 applic... | 304 | 0 |
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinvaConfig, SwinvaForImageClassification
def _lowerCamelCase( lowercase__ ) -> List... | 350 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowerCAmelCase = '''<<<<<<< This should probably be modified because it mentions: '''
lowerCAmelCase = '''=======
>>>>>>>
'''... | 304 | 0 |
import logging
import random
import ray
from transformers import RagConfig, RagRetriever, RagTokenizer
from transformers.models.rag.retrieval_rag import CustomHFIndex
lowerCAmelCase = logging.getLogger(__name__)
class A :
def __init__(self ):
__lowercase= ... | 351 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
lowerCAmelCase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-large-v1''': '''https://huggingface... | 304 | 0 |
import random
from typing import Any
def _lowerCamelCase( lowercase__ ) -> list[Any]:
'''simple docstring'''
for _ in range(len(lowercase__ ) ):
__lowercase= random.randint(0 , len(lowercase__ ) - 1 )
__lowercase= random.randint(0 ,... | 352 |
import argparse
import re
import requests
import torch
# git clone https://github.com/salesforce/BLIP.git
from models.blip import blip_decoder
from models.blip_itm import blip_itm
from models.blip_vqa import blip_vqa
from PIL import Image
from torchvision import transforms
from torchvision.transforms.functional im... | 304 | 0 |
import gc
import inspect
import unittest
import torch
from parameterized import parameterized
from diffusers import PriorTransformer
from diffusers.utils import floats_tensor, slow, torch_all_close, torch_device
from diffusers.utils.testing_utils import enable_full_determinism
from .test_modeling_common import Mo... | 353 |
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
lowerCAmelCase = (3, 9, -1_1, 0, 7, 5, 1, -1)
lowerCAmelCase = (4, 6, 2, 0, 8, 1_0, 3, -2)
@dataclass
class A :
UpperCamelCase_ : int
UpperCamelCase_ ... | 304 | 0 |
import requests
lowerCAmelCase = '''''' # <-- Put your OpenWeatherMap appid here!
lowerCAmelCase = '''https://api.openweathermap.org/data/2.5/'''
def _lowerCamelCase( lowercase__ = "Chicago" , lowercase__ = APPID ) -> Dict:
'''simple docstring'''
return requests... | 354 |
from __future__ import annotations
from collections.abc import Callable
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercase__ = 1_0_0 , ) -> float:
'''simple docstring'''
__lowercase= x_start
__lowercase= fnc(lowercase... | 304 | 0 |
from sympy import diff, lambdify, symbols
from sympy.functions import * # noqa: F403
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ = "x" , lowercase__ = 1_0**-1_0 , lowercase__ = 1 , ) -> complex:
'''simple docstring'''
__lowercas... | 355 |
import unittest
from transformers import XLMConfig, 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_... | 304 | 0 |
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
lowerCAmelCase = logging.get_logger(__name__)
class A ( snake_case_ ):
def __init__(self , *lowerCAmelCase , **lowerCAmelCase ):
warnings.warn(
'The ... | 356 |
from __future__ import annotations
import json
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
lowerCAmelCase = {'''UserAgent''': UserAgent().random}
def _lowerCamelCase( lowercase__ ) -> dict:
'''simple docstring'''
__lowercase= scr... | 304 | 0 |
import os
import unittest
from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class A ( __lowerCAmelCase , unittest.TestCase ):
UpperCamelCase_ : Tuple =PhobertTokenize... | 357 |
from typing import Any
import numpy as np
def _lowerCamelCase( lowercase__ ) -> bool:
'''simple docstring'''
return np.array_equal(lowercase__ , matrix.conjugate().T )
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Any:
'''sim... | 304 | 0 |
from collections.abc import Callable
import numpy as np
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercase__ , lowercase__ ) -> List[Any]:
'''simple docstring'''
__lowercase= int(np.ceil((x_end - xa) / step_size ) ... | 358 |
from math import ceil
from typing import List, Optional, Union
import numpy as np
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import BatchFeature, SequenceFeatureExtractor
from ...utils import TensorType, logging
lowerCAmelCase = logging.... | 304 | 0 |
from sklearn.metrics import mean_squared_error
import datasets
lowerCAmelCase = '\\n@article{scikit-learn,\n title={Scikit-learn: Machine Learning in {P}ython},\n author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.\n and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, ... | 359 |
# 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 applic... | 304 | 0 |
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
lowerCAmelCase = logging.get_logger(__name__)
lowerCAmelCase = '''T5Config'''
def _lowerCamelCase( lo... | 360 |
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from ... | 304 | 0 |
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase = logging.get_logger(__name__)
lowerCAmelCase = {
'''BridgeTower/bridgetower-base''': '''https://huggingface.co/BridgeTower/bridgetower-base/blob/main/config.... | 361 |
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
lowerCAmelCase = False
class A ( unittest.TestCase ):
pass
@... | 304 | 0 |
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,
headerrow=DataRow('''''', '''|''', '''|'''),
datarow=Da... | 362 |
# 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 applic... | 304 | 0 |
"""simple docstring"""
def _lowerCamelCase( lowercase__ , lowercase__ ) -> int:
'''simple docstring'''
while second != 0:
__lowercase= first & second
first ^= second
__lowercase= c << 1
return first
if __name__ == "__main__":
import doctest
docte... | 363 |
import math
from datetime import datetime, timedelta
def _lowerCamelCase( lowercase__ ) -> datetime:
'''simple docstring'''
__lowercase= year % 1_9
__lowercase= year % 4
__lowercase= year % 7
__lowercase= math.floor(year / 1_0_0 )
__lowercase= ... | 304 | 0 |
from ....configuration_utils import PretrainedConfig
from ....utils import logging
lowerCAmelCase = logging.get_logger(__name__)
# TODO: upload to AWS
lowerCAmelCase = {
'yjernite/retribert-base-uncased': (
'https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json'
),
... | 364 |
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...file_utils import TensorType, is_torch_available
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.ut... | 304 | 0 |
import argparse
import logging
import os
import datasets
import tensorflow as tf
from transformers import AutoTokenizer
lowerCAmelCase = logging.getLogger(__name__)
def _lowerCamelCase( ) -> Optional[int]:
'''simple docstring'''
__lowercase= argparse.ArgumentParser(
... | 365 |
from math import factorial, radians
def _lowerCamelCase( lowercase__ , lowercase__ = 1_8 , lowercase__ = 1_0 ) -> float:
'''simple docstring'''
__lowercase= angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)
# Converting from degrees to radians
__l... | 304 | 0 |
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.data import Dataset
from tran... | 366 |
lowerCAmelCase = [
9_9_9,
8_0_0,
7_9_9,
6_0_0,
5_9_9,
5_0_0,
4_0_0,
3_9_9,
3_7_7,
3_5_5,
3_3_3,
3_1_1,
2_8_8,
2_6_6,
2_4_4,
2_2_2,
2_0_0,
1_9_9,
1_7_7,
1_5_5,
1_3_3,
1_1_1,
8_8,
6_6,
4_4,
2_2,
0,
]
lowerC... | 304 | 0 |
"""simple docstring"""
import requests
lowerCAmelCase = '''''' # <-- Put your OpenWeatherMap appid here!
lowerCAmelCase = '''https://api.openweathermap.org/data/2.5/'''
def _lowerCamelCase( lowercase__ = "Chicago" , lowercase__ = APPID ) -> List[Any]:
'''simple docst... | 367 |
from __future__ import annotations
import numpy as np
def _lowerCamelCase( lowercase__ ) -> str:
'''simple docstring'''
return np.maximum(0 , lowercase__ )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0, 5]
| 304 | 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/main/compression_s... | 368 |
def _lowerCamelCase( lowercase__ = 1_0_0_0 ) -> int:
'''simple docstring'''
__lowercase= 2**power
__lowercase= str(lowercase__ )
__lowercase= list(lowercase__ )
__lowercase= 0
for i in list_num:
sum_of_num += int(lowercase__ )
return sum_o... | 304 | 0 |
import argparse
import pytorch_lightning as pl
import torch
from torch import nn
from transformers import LongformerForQuestionAnswering, LongformerModel
class A ( pl.LightningModule ):
def __init__(self , lowerCAmelCase ):
super().__init__()
__lowercase= mo... | 369 |
import logging
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import datasets
import numpy as np
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
EvalPrediction,
HfArgumentParser,
PreTrainedTokenizer,
TFAutoModelForSequenceC... | 304 | 0 |
import math
def _lowerCamelCase( lowercase__ = 1_0_0 ) -> int:
'''simple docstring'''
__lowercase= sum(i * i for i in range(1 , n + 1 ) )
__lowercase= int(math.pow(sum(range(1 , n + 1 ) ) , 2 ) )
return square_of_sum -... | 370 |
import inspect
import unittest
from math import floor
from transformers import CvtConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common import Con... | 304 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase = {
'''configuration_mobilebert''': [
'''MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''M... | 371 |
# 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 applic... | 304 | 0 |
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Dict:
'''simple docstring'''
if number < 0 or shift_amount < 0:
raise ValueError('both inputs must be positive integers' )
__lowercase= str(bin(lowerCamelCase__ ) )
binary_number += "0" * shift_amount
... | 350 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowerCAmelCase = '''<<<<<<< This should probably be modified because it mentions: '''
lowerCAmelCase = '''=======
>>>>>>>
'''... | 304 | 0 |
from collections import Counter
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
lowerCAmelCase = datasets.load_iris()
lowerCAmelCase = np.array(data['''data'''])
lowerCAmelCase = np.array(data['''target'''])
lowerCAmelCase = data[''... | 351 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
lowerCAmelCase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-large-v1''': '''https://huggingface... | 304 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase = {
'configuration_instructblip': [
'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
'InstructBlipConfig',
'InstructBlipQFormerConfig',
'Instruc... | 352 |
import argparse
import re
import requests
import torch
# git clone https://github.com/salesforce/BLIP.git
from models.blip import blip_decoder
from models.blip_itm import blip_itm
from models.blip_vqa import blip_vqa
from PIL import Image
from torchvision import transforms
from torchvision.transforms.functional im... | 304 | 0 |
import sys
from collections import defaultdict
class A :
def __init__(self ):
__lowercase= []
def _A (self , lowerCAmelCase ):
return self.node_position[vertex]
def _A (self , lowerCAmelCase , lowerCAmelCase ):
__lowe... | 353 |
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
lowerCAmelCase = (3, 9, -1_1, 0, 7, 5, 1, -1)
lowerCAmelCase = (4, 6, 2, 0, 8, 1_0, 3, -2)
@dataclass
class A :
UpperCamelCase_ : int
UpperCamelCase_ ... | 304 | 0 |
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=lowerCamelCase__ )
class A ( lowerCamelCase__ ):
UpperCamelCase_ : Tuple =field(default='... | 354 |
from __future__ import annotations
from collections.abc import Callable
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercase__ = 1_0_0 , ) -> float:
'''simple docstring'''
__lowercase= x_start
__lowercase= fnc(lowercase... | 304 | 0 |
def _lowerCamelCase( ) -> str:
'''simple docstring'''
__lowercase= 0
for i in range(1 , 1_0_0_1 ):
total += i**i
return str(lowercase__ )[-1_0:]
if __name__ == "__main__":
print(solution())
| 355 |
import unittest
from transformers import XLMConfig, 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_... | 304 | 0 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaImgaImgPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, load_image, load_numpy, slow, ... | 356 |
from __future__ import annotations
import json
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
lowerCAmelCase = {'''UserAgent''': UserAgent().random}
def _lowerCamelCase( lowercase__ ) -> dict:
'''simple docstring'''
__lowercase= scr... | 304 | 0 |
import os # noqa: this is just for tests
import os as renamed_os # noqa: this is just for tests
from os import path # noqa: this is just for tests
from os import path as renamed_path # noqa: this is just for tests
from os.path import join # noqa: this is just for tests
from os.path import join as renamed_join ... | 357 |
from typing import Any
import numpy as np
def _lowerCamelCase( lowercase__ ) -> bool:
'''simple docstring'''
return np.array_equal(lowercase__ , matrix.conjugate().T )
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Any:
'''sim... | 304 | 0 |
from math import factorial
lowerCAmelCase = {str(d): factorial(d) for d in range(1_0)}
def _lowerCamelCase( lowercase__ ) -> List[str]:
'''simple docstring'''
return sum(DIGIT_FACTORIAL[d] for d in str(A_ ) )
def _lowerCamelCase( ) -> Tuple:
'... | 358 |
from math import ceil
from typing import List, Optional, Union
import numpy as np
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import BatchFeature, SequenceFeatureExtractor
from ...utils import TensorType, logging
lowerCAmelCase = logging.... | 304 | 0 |
from __future__ import annotations
lowerCAmelCase = [-1_0, -5, 0, 5, 5.1, 1_1, 1_3, 2_1, 3, 4, -2_1, -1_0, -5, -1, 0]
lowerCAmelCase = [-5, 0, 5, 5.1, 1_1, 1_3, 2_1, -1, 4, -1, -1_0, -5, -1, 0, -1]
def _lowerCamelCase( lowercase__ ) -> List[str]:
'''simple docstring'''
_... | 359 |
# 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 applic... | 304 | 0 |
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available
if is_datasets_available():
import datasets
class A ( UpperCAmelCase_... | 360 |
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from ... | 304 | 0 |
import argparse
import shutil
from pathlib import Path
from tqdm import tqdm
from transformers import AutoTokenizer
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercase__=1_0_2_4 ) -> Optional[Any]:
'''simple docstring'''
__lowercase,... | 361 |
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
lowerCAmelCase = False
class A ( unittest.TestCase ):
pass
@... | 304 | 0 |
def _lowerCamelCase( lowercase__ ) -> int:
'''simple docstring'''
assert column_title.isupper()
__lowercase= 0
__lowercase= len(__lowerCAmelCase ) - 1
__lowercase= 0
while index >= 0:
__lowercase= (ord(column_title[index] ) - 6_4) * pow(2_6 ... | 362 |
# 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 applic... | 304 | 0 |
"""simple docstring"""
from .pipelines import DiffusionPipeline, ImagePipelineOutput # noqa: F401
from .utils import deprecate
deprecate(
'''pipelines_utils''',
'''0.22.0''',
'''Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from d... | 363 |
import math
from datetime import datetime, timedelta
def _lowerCamelCase( lowercase__ ) -> datetime:
'''simple docstring'''
__lowercase= year % 1_9
__lowercase= year % 4
__lowercase= year % 7
__lowercase= math.floor(year / 1_0_0 )
__lowercase= ... | 304 | 0 |
from __future__ import annotations
from collections import deque
class A :
def __init__(self , lowerCAmelCase ):
__lowercase= []
self.adlist.append(
{'value': '', 'next_states': [], 'fail_state': 0, 'output': []} )
for keyword in keywords:
... | 364 |
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...file_utils import TensorType, is_torch_available
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.ut... | 304 | 0 |
def _lowerCamelCase( lowercase__ ) -> list:
'''simple docstring'''
if n_term == "":
return []
__lowercase= []
for temp in range(int(snake_case__ ) ):
series.append(F'1/{temp + 1}' if series else '1' )
return series
if __name__ == "__main__":
lowerCAmelC... | 365 |
from math import factorial, radians
def _lowerCamelCase( lowercase__ , lowercase__ = 1_8 , lowercase__ = 1_0 ) -> float:
'''simple docstring'''
__lowercase= angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)
# Converting from degrees to radians
__l... | 304 | 0 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer
lowerCAmelCase = logging.get_logger(__name__)
lowerCAmelCase = {'... | 366 |
lowerCAmelCase = [
9_9_9,
8_0_0,
7_9_9,
6_0_0,
5_9_9,
5_0_0,
4_0_0,
3_9_9,
3_7_7,
3_5_5,
3_3_3,
3_1_1,
2_8_8,
2_6_6,
2_4_4,
2_2_2,
2_0_0,
1_9_9,
1_7_7,
1_5_5,
1_3_3,
1_1_1,
8_8,
6_6,
4_4,
2_2,
0,
]
lowerC... | 304 | 0 |
"""simple docstring"""
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class A ( __SCREAMING_SNAKE_CASE ):
@staticmethod
@abstractmethod
def _A (lowerCAmelCase ):
raise NotImplementedError()
@abstractmethod
def ... | 367 |
from __future__ import annotations
import numpy as np
def _lowerCamelCase( lowercase__ ) -> str:
'''simple docstring'''
return np.maximum(0 , lowercase__ )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0, 5]
| 304 | 0 |
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, 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,... | 368 |
def _lowerCamelCase( lowercase__ = 1_0_0_0 ) -> int:
'''simple docstring'''
__lowercase= 2**power
__lowercase= str(lowercase__ )
__lowercase= list(lowercase__ )
__lowercase= 0
for i in list_num:
sum_of_num += int(lowercase__ )
return sum_o... | 304 | 0 |
from __future__ import annotations
import csv
import requests
from bsa import BeautifulSoup
def _lowerCamelCase( lowercase__ = "" ) -> Union[str, Any]:
'''simple docstring'''
__lowercase= url or 'https://www.imdb.com/chart/top/?ref_=nv_mv_250'
__lowercase= Beautiful... | 369 |
import logging
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import datasets
import numpy as np
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
EvalPrediction,
HfArgumentParser,
PreTrainedTokenizer,
TFAutoModelForSequenceC... | 304 | 0 |
import torch
from diffusers import UnCLIPScheduler
from .test_schedulers import SchedulerCommonTest
class A ( _lowerCAmelCase ):
UpperCamelCase_ : Tuple =(UnCLIPScheduler,)
def _A (self , **lowerCAmelCase ):
__lowercase= {
'num_t... | 370 |
import inspect
import unittest
from math import floor
from transformers import CvtConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common import Con... | 304 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase = logging.get_logger(__name__)
lowerCAmelCase = {
'''s-JoL/Open-Llama-V1''': '''https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json''',
}
class A ( _a ):
"""simp... | 371 |
# 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 applic... | 304 | 0 |
def _lowerCamelCase( lowercase__ , lowercase__ ) -> str:
'''simple docstring'''
__lowercase= int(__a )
# Initialize Result
__lowercase= []
# Traverse through all denomination
for denomination in reversed(__a ):
# Find denominations
while int(_... | 350 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowerCAmelCase = '''<<<<<<< This should probably be modified because it mentions: '''
lowerCAmelCase = '''=======
>>>>>>>
'''... | 304 | 0 |
from unittest.mock import Mock, patch
from file_transfer.send_file import send_file
@patch('socket.socket' )
@patch('builtins.open' )
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Any:
'''simple docstring'''
__lowercase= Mock()... | 351 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
lowerCAmelCase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-large-v1''': '''https://huggingface... | 304 | 0 |
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEPipeline
from diffusers.pipelines.shap_e import ShapERenderer
from diffusers.utils import load_numpy, slo... | 352 |
import argparse
import re
import requests
import torch
# git clone https://github.com/salesforce/BLIP.git
from models.blip import blip_decoder
from models.blip_itm import blip_itm
from models.blip_vqa import blip_vqa
from PIL import Image
from torchvision import transforms
from torchvision.transforms.functional im... | 304 | 0 |
import unittest
from transformers import load_tool
from .test_tools_common import ToolTesterMixin
class A ( unittest.TestCase , A_ ):
def _A (self ):
__lowercase= load_tool('text-classification' )
self.tool.setup()
__lowercase= load_tool('te... | 353 |
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
lowerCAmelCase = (3, 9, -1_1, 0, 7, 5, 1, -1)
lowerCAmelCase = (4, 6, 2, 0, 8, 1_0, 3, -2)
@dataclass
class A :
UpperCamelCase_ : int
UpperCamelCase_ ... | 304 | 0 |
def _lowerCamelCase( lowercase__ = "The quick brown fox jumps over the lazy dog" , ) -> int:
'''simple docstring'''
__lowercase= set()
# Replace all the whitespace in our sentence
__lowercase= input_str.replace(' ' , '' )
for alpha in input_str:
if "... | 354 |
from __future__ import annotations
from collections.abc import Callable
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercase__ = 1_0_0 , ) -> float:
'''simple docstring'''
__lowercase= x_start
__lowercase= fnc(lowercase... | 304 | 0 |
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFGPTaLMHeadModel, is_keras_nlp_available, is_tf_available
from transformers.models.gpta.tokenization_gpta import GPTaTokenizer
from transformers.testing_utils import require_keras_nlp, require_tf, ... | 355 |
import unittest
from transformers import XLMConfig, 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_... | 304 | 0 |
import unittest
from transformers import load_tool
from transformers.utils import is_torch_available
if is_torch_available():
import torch
from transformers.testing_utils import require_torch
from .test_tools_common import ToolTesterMixin
@require_torch
class A ( unittest.TestCase , lowerCa... | 356 |
from __future__ import annotations
import json
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
lowerCAmelCase = {'''UserAgent''': UserAgent().random}
def _lowerCamelCase( lowercase__ ) -> dict:
'''simple docstring'''
__lowercase= scr... | 304 | 0 |
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
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_params import (
TEXT_GUIDED_IMAGE_INPA... | 357 |
from typing import Any
import numpy as np
def _lowerCamelCase( lowercase__ ) -> bool:
'''simple docstring'''
return np.array_equal(lowercase__ , matrix.conjugate().T )
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Any:
'''sim... | 304 | 0 |
import math
import unittest
from transformers import BioGptConfig, 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 ModelTe... | 358 |
from math import ceil
from typing import List, Optional, Union
import numpy as np
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import BatchFeature, SequenceFeatureExtractor
from ...utils import TensorType, logging
lowerCAmelCase = logging.... | 304 | 0 |
import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image
from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_proce... | 359 |
# 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 applic... | 304 | 0 |
import functools
def _lowerCamelCase( lowercase__ , lowercase__ ) -> int:
'''simple docstring'''
__lowercase= len(lowercase__ )
__lowercase= len(lowercase__ )
@functools.cache
def min_distance(lowercase__ , lowercase__ ) -> int:
# ... | 360 |
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from ... | 304 | 0 |
import unittest
from transformers import (
MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
Pipeline,
ZeroShotClassificationPipeline,
pipeline,
)
from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, slow
fro... | 361 |
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
lowerCAmelCase = False
class A ( unittest.TestCase ):
pass
@... | 304 | 0 |
import os
from collections import deque
import torch
from torch.utils.data import Dataset
class A ( A_ ):
def __init__(self , lowerCAmelCase="" , lowerCAmelCase="train" ):
assert os.path.isdir(__a )
__lowercase= []
__lowercase= os.listdir... | 362 |
# 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 applic... | 304 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase = logging.get_logger(__name__)
lowerCAmelCase = {
'''huggingface/time-series-transformer-tourism-monthly''': (
'''https://hugging... | 363 |
import math
from datetime import datetime, timedelta
def _lowerCamelCase( lowercase__ ) -> datetime:
'''simple docstring'''
__lowercase= year % 1_9
__lowercase= year % 4
__lowercase= year % 7
__lowercase= math.floor(year / 1_0_0 )
__lowercase= ... | 304 | 0 |
import unittest
from .lib import (
Matrix,
Vector,
axpy,
square_zero_matrix,
unit_basis_vector,
zero_vector,
)
class A ( unittest.TestCase ):
def _A (self ):
__lowercase= Vector([1, 2, 3] )
self.assertEqual(x.component(0 ) , 1 )
... | 364 |
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...file_utils import TensorType, is_torch_available
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.ut... | 304 | 0 |
from math import factorial
lowerCAmelCase = {str(d): factorial(d) for d in range(1_0)}
def _lowerCamelCase( lowercase__ ) -> int:
'''simple docstring'''
return sum(DIGIT_FACTORIAL[d] for d in str(snake_case__ ) )
def _lowerCamelCase( ) -> int:
... | 365 |
from math import factorial, radians
def _lowerCamelCase( lowercase__ , lowercase__ = 1_8 , lowercase__ = 1_0 ) -> float:
'''simple docstring'''
__lowercase= angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)
# Converting from degrees to radians
__l... | 304 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available
lowerCAmelCase = {"configuration_speech_encoder_decoder": ["SpeechEncoderDecoderConfig"]}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
exc... | 366 |
lowerCAmelCase = [
9_9_9,
8_0_0,
7_9_9,
6_0_0,
5_9_9,
5_0_0,
4_0_0,
3_9_9,
3_7_7,
3_5_5,
3_3_3,
3_1_1,
2_8_8,
2_6_6,
2_4_4,
2_2_2,
2_0_0,
1_9_9,
1_7_7,
1_5_5,
1_3_3,
1_1_1,
8_8,
6_6,
4_4,
2_2,
0,
]
lowerC... | 304 | 0 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionSAGPipeline,
UNetaDConditionModel,
)
from diffusers.utils import slow, torc... | 367 |
from __future__ import annotations
import numpy as np
def _lowerCamelCase( lowercase__ ) -> str:
'''simple docstring'''
return np.maximum(0 , lowercase__ )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0, 5]
| 304 | 0 |
import argparse
import json
import os
import torch
from transformers import LukeConfig, LukeModel, LukeTokenizer, RobertaTokenizer
from transformers.tokenization_utils_base import AddedToken
@torch.no_grad()
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercas... | 368 |
def _lowerCamelCase( lowercase__ = 1_0_0_0 ) -> int:
'''simple docstring'''
__lowercase= 2**power
__lowercase= str(lowercase__ )
__lowercase= list(lowercase__ )
__lowercase= 0
for i in list_num:
sum_of_num += int(lowercase__ )
return sum_o... | 304 | 0 |
import argparse
import pytorch_lightning as pl
import torch
from torch import nn
from transformers import LongformerForQuestionAnswering, LongformerModel
class A ( pl.LightningModule ):
def __init__(self , lowerCAmelCase ):
super().__init__()
__lowercase= mo... | 369 |
import logging
import os
from dataclasses import dataclass, field
from typing import Dict, Optional
import datasets
import numpy as np
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
EvalPrediction,
HfArgumentParser,
PreTrainedTokenizer,
TFAutoModelForSequenceC... | 304 | 0 |
import io
import os
import unicodedata
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
lowerCAmelCase = logging.get_logger(__name__)
lowerCAmelCase = '''▁'''
lowerCAmelCase = {'''vocab... | 370 |
import inspect
import unittest
from math import floor
from transformers import CvtConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common import Con... | 304 | 0 |
import argparse
import os
import re
lowerCAmelCase = '''src/transformers'''
# Pattern that looks at the indentation in a line.
lowerCAmelCase = re.compile(R'''^(\s*)\S''')
# Pattern that matches `"key":" and puts `key` in group 0.
lowerCAmelCase = re.compile(R'''^\s*"([^"]+)":''')
# Pattern that match... | 371 |
# 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 applic... | 304 | 0 |
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
lowerCAmelCase = (3, 9, -1_1, 0, 7, 5, 1, -1)
lowerCAmelCase = (4, 6, 2, 0, 8, 1_0, 3, -2)
@dataclass
class A :
UpperCamelCase_ : int
UpperCamelCase_ ... | 350 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowerCAmelCase = '''<<<<<<< This should probably be modified because it mentions: '''
lowerCAmelCase = '''=======
>>>>>>>
'''... | 304 | 0 |
lowerCAmelCase = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''
lowerCAmelCase = [{'''type''': ''... | 351 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
lowerCAmelCase = {
'''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
'''albert-large-v1''': '''https://huggingface... | 304 | 0 |
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase = logging.get_logger(__name__)
# TODO Update this
lowerCAmelCase = {
'''facebook/esm-1b''': '''https://huggingface.co/facebook/esm-1b/r... | 352 |
import argparse
import re
import requests
import torch
# git clone https://github.com/salesforce/BLIP.git
from models.blip import blip_decoder
from models.blip_itm import blip_itm
from models.blip_vqa import blip_vqa
from PIL import Image
from torchvision import transforms
from torchvision.transforms.functional im... | 304 | 0 |
import argparse
import collections
import torch
from flax import traverse_util
from tax import checkpoints
from transformers import TaConfig, TaEncoderModel, TaForConditionalGeneration
from transformers.utils import logging
logging.set_verbosity_info()
def _lowerCamelCase( lowercase__ , lower... | 353 |
from __future__ import annotations
from collections.abc import Iterable, Iterator
from dataclasses import dataclass
lowerCAmelCase = (3, 9, -1_1, 0, 7, 5, 1, -1)
lowerCAmelCase = (4, 6, 2, 0, 8, 1_0, 3, -2)
@dataclass
class A :
UpperCamelCase_ : int
UpperCamelCase_ ... | 304 | 0 |
from __future__ import annotations
import math
import random
from typing import Any
class A :
def __init__(self ):
__lowercase= []
__lowercase= 0
__lowercase= 0
def _A (self ):
return self.head == self.tail
def _A (... | 354 |
from __future__ import annotations
from collections.abc import Callable
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercase__ = 1_0_0 , ) -> float:
'''simple docstring'''
__lowercase= x_start
__lowercase= fnc(lowercase... | 304 | 0 |
import cva
import numpy as np
class A :
def __init__(self , lowerCAmelCase , lowerCAmelCase ):
if k in (0.04, 0.06):
__lowercase= k
__lowercase= window_size
else:
raise ValueError('invalid k value' )
def __str__(se... | 355 |
import unittest
from transformers import XLMConfig, 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_... | 304 | 0 |
from __future__ import annotations
from collections.abc import Callable
def _lowerCamelCase( lowercase__ , lowercase__ , lowercase__ , lowercase__ = 1_0_0 , ) -> float:
'''simple docstring'''
__lowercase= x_start
__lowercase= fnc(lowercase... | 356 |
from __future__ import annotations
import json
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
lowerCAmelCase = {'''UserAgent''': UserAgent().random}
def _lowerCamelCase( lowercase__ ) -> dict:
'''simple docstring'''
__lowercase= scr... | 304 | 0 |
# coding=utf-8
# Copyright 2020 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 applica... | 357 |
from typing import Any
import numpy as np
def _lowerCamelCase( lowercase__ ) -> bool:
'''simple docstring'''
return np.array_equal(lowercase__ , matrix.conjugate().T )
def _lowerCamelCase( lowercase__ , lowercase__ ) -> Any:
'''sim... | 304 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase = {
'''configuration_resnet''': ['''RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ResNetConfig''', '''ResNetOnnxCo... | 358 |
from math import ceil
from typing import List, Optional, Union
import numpy as np
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import BatchFeature, SequenceFeatureExtractor
from ...utils import TensorType, logging
lowerCAmelCase = logging.... | 304 | 0 |
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging
lowerCAmelCase = logging.get_logger(__name__)
lowerCAme... | 359 |
# 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 applic... | 304 | 0 |
class A :
def __init__(self , lowerCAmelCase ):
# we need a list not a string, so do something to change the type
__lowercase= arr.split(',' )
def _A (self ):
__lowercase= [int(self.array[0] )] * len(self.array )
__lowercase= ... | 360 |
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from ... | 304 | 0 |
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class A ( unittest.TestCase ):
def _A (self ):
... | 361 |
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
lowerCAmelCase = False
class A ( unittest.TestCase ):
pass
@... | 304 | 0 |
import unittest
import numpy as np
from transformers.testing_utils import is_flaky, require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_available():
impo... | 362 |
# 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 applic... | 304 | 0 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import tensorflow as tf
from ...activations_tf import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
from ...modeling_tf_outputs import (
TFBaseModelOutputWithNoAttenti... | 363 |
import math
from datetime import datetime, timedelta
def _lowerCamelCase( lowercase__ ) -> datetime:
'''simple docstring'''
__lowercase= year % 1_9
__lowercase= year % 4
__lowercase= year % 7
__lowercase= math.floor(year / 1_0_0 )
__lowercase= ... | 304 | 0 |
import string
def _lowerCamelCase( lowercase__ ) -> None:
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__lowercase= ''
for symbol in message:
if symbol in string.ascii_uppercase:
__lowercase= string.ascii_uppercase.... | 364 |
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...file_utils import TensorType, is_torch_available
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.ut... | 304 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase = {
'''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxCo... | 365 |
from math import factorial, radians
def _lowerCamelCase( lowercase__ , lowercase__ = 1_8 , lowercase__ = 1_0 ) -> float:
'''simple docstring'''
__lowercase= angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)
# Converting from degrees to radians
__l... | 304 | 0 |
from ... import PretrainedConfig
lowerCAmelCase = {
'''sijunhe/nezha-cn-base''': '''https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json''',
}
class A ( A_ ):
UpperCamelCase_ : Optional[int] =NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
UpperCamelCase_ ... | 366 |
lowerCAmelCase = [
9_9_9,
8_0_0,
7_9_9,
6_0_0,
5_9_9,
5_0_0,
4_0_0,
3_9_9,
3_7_7,
3_5_5,
3_3_3,
3_1_1,
2_8_8,
2_6_6,
2_4_4,
2_2_2,
2_0_0,
1_9_9,
1_7_7,
1_5_5,
1_3_3,
1_1_1,
8_8,
6_6,
4_4,
2_2,
0,
]
lowerC... | 304 | 0 |
"""simple docstring"""
def _lowerCamelCase( lowercase__ ) -> list[int]:
'''simple docstring'''
__lowercase= len(lowercase__ )
for i in range(lowercase__ ):
for j in range(i + 1 , lowercase__ ):
if numbers[j] < numbers[i]:
__lowercase, ... | 367 |
from __future__ import annotations
import numpy as np
def _lowerCamelCase( lowercase__ ) -> str:
'''simple docstring'''
return np.maximum(0 , lowercase__ )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0, 5]
| 304 | 0 |
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