code stringlengths 82 54.1k | code_codestyle int64 0 699 | style_context stringlengths 111 35.6k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image
if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('9.1.0'):
__lowerCAmelCase : int ={
'linear': PIL.Image.Resampling.BILINEAR,
'bilinear': PIL.Image.Res... | 696 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscreteScheduler,
PNDMScheduler,
Sta... | 696 | 1 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import OPTConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 696 |
# DISCLAIMER: This code is strongly influenced by https://github.com/pesser/pytorch_diffusion
# and https://github.com/hojonathanho/diffusion
import math
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from diffusers.configuration_utils import Confi... | 696 | 1 |
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
if principal <= 0:
raise Exception('''Principal borrowed must be > 0''' )
if rate_per_annum < 0:
raise Exception('''Rate of interest must be >= 0''' )
if years_to_repay <= 0 or not isinsta... | 696 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A__ )
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : str = field(default=''... | 696 | 1 |
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : int = len(lowercase__ )
__SCREAMING_SNAKE_CASE : int = len(lowercase__ )
__SCREAMING_SNAKE_CASE : int = (
first_str_length if first_str_length > second... | 696 |
def _UpperCamelCase ( lowercase__ = 10**9 ):
__SCREAMING_SNAKE_CASE : List[str] = 1
__SCREAMING_SNAKE_CASE : int = 2
__SCREAMING_SNAKE_CASE : Union[str, Any] = 0
__SCREAMING_SNAKE_CASE : Dict = 0
__SCREAMING_SNAKE_CA... | 696 | 1 |
import warnings
from ..trainer import Trainer
from ..utils import logging
__lowerCAmelCase : List[str] =logging.get_logger(__name__)
class _lowercase ( A__ ):
'''simple docstring'''
def __init__( self :List[str] , lowerCAmelCase__ :Optional[Any]=None ... | 696 |
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = len(lowercase__ )
__SCREAMING_SNAKE_CASE : List[str] = [[False for _ in range(m + 1 )] for _ in ... | 696 | 1 |
import unittest
from transformers import MobileBertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeli... | 696 |
from scipy.stats import pearsonr
import datasets
__lowerCAmelCase : str ='\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumptio... | 696 | 1 |
import warnings
from diffusers import StableDiffusionImgaImgPipeline # noqa F401
warnings.warn(
'The `image_to_image.py` script is outdated. Please use directly `from diffusers import'
' StableDiffusionImg2ImgPipeline` instead.'
)
| 696 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer
__lowerCAmelCase : List[str] =logging.get_logger(__name__... | 696 | 1 |
import os
import unittest
from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir
from ...test_tokenization_common import TokenizerTesterMixin
__lowerCAmelCase : Any =get_tests_dir('fixtures/test_sent... | 696 |
import os
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[Any] = len(grid[0] )
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = 0
__SCREAMING_SNAKE_CASE : Any = ... | 696 | 1 |
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging
if TYPE_CHECKING:
from ...onnx.config import PatchingSpec
from ...tokeni... | 696 |
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 import ConfigTester
from ...te... | 696 | 1 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available
__lowerCAmelCase : List[Any] ={
'configuration_audio_spectrogram_transformer': [
'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
... | 696 |
import os
from datetime import datetime as dt
from github import Github
__lowerCAmelCase : List[Any] =[
'good first issue',
'good second issue',
'good difficult issue',
'enhancement',
'new pipeline/model',
'new scheduler',
'wip',
]
def _UpperCamelCase ( ):
... | 696 | 1 |
import itertools
import os
import random
import tempfile
import unittest
import numpy as np
from datasets import load_dataset
from transformers import is_speech_available
from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_torchaudio
from transformers.utils.import_util... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : Dict ={
'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
# See all CANINE mod... | 696 | 1 |
from random import shuffle
import tensorflow as tf
from numpy import array
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : Tuple = int(lowercase__ )
assert noofclusters < len(lowercase__ )
# Find out the dimensionality
__SCREAMING_... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : List[Any] =logging.get_logger(__name__)
__lowerCAmelCase : Tuple ={
'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}
class _lowe... | 696 | 1 |
import argparse
import torch
from transformers import BertConfig, BertForPreTraining, load_tf_weights_in_bert
from transformers.utils import logging
logging.set_verbosity_info()
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
# Initialise PyTorch model
__SCREA... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : str =logging.get_logger(__name__)
__lowerCAmelCase : Any ={
# See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}
class _lowercase ( A__ ):... | 696 | 1 |
import warnings
from contextlib import contextmanager
from ...processing_utils import ProcessorMixin
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : str = '''Speech2TextFeatureExtractor'''
SCREAMING_SNAKE_CASE__ : Tuple ... | 696 |
import os
import sys
import unittest
__lowerCAmelCase : List[Any] =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))
import check_dummies # noqa: E402
from check_dummies import create_dummy_files, create_dummy_obj... | 696 | 1 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__lowerCAmelCase : List[Any] =logging.get_logger(__name__)
__lowerCAmelCase : D... | 696 |
import math
from numpy import inf
from scipy.integrate import quad
def _UpperCamelCase ( lowercase__ ):
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase__ , 0 , lowercase__ , args=(lowercase__) )[0]
def _UpperCamelCase ( l... | 696 | 1 |
import subprocess
import sys
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
from transformers.testing_utils import TestCasePlus, require_torch
class _lowercase ( A__ ):
'''simple docstring'''
@require_torch
def __magic_name__( self :Any ) ... | 696 |
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
if principal <= 0:
raise Exception('''Principal borrowed must be > 0''' )
if rate_per_annum < 0:
raise Exception('''Rate of interest must be >= 0''' )
if years_to_repay <= 0 or not isinsta... | 696 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : List[Any] =logging.get_logger(__name__)
__lowerCAmelCase : Tuple ={
'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}
class _lowe... | 696 |
from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Tuple = prime_factors(lowercase__ )
if is_square_free(lowercase__ ):
return -1 if len(lowercase__ ) % 2 else 1
... | 696 | 1 |
# Copyright 2022 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... | 696 |
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuratio... | 696 | 1 |
from ....configuration_utils import PretrainedConfig
from ....utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : str ={
'Visual-Attention-Network/van-base': (
'https://huggingface.co/Visual-Attention-Network/van-base/blob... | 696 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Any ={
'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Llama... | 696 | 1 |
import unittest
from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property
from ...test_tokenization_common import TokenizerTeste... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : List[Any] ={
'google/switch-base-8': 'https://huggingface.co/google/switch-base-8/blob/main/config.json',
}
class _... | 696 | 1 |
from __future__ import annotations
def _UpperCamelCase ( lowercase__ ):
if len(lowercase__ ) == 0:
return []
__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE : Optional[int] = min(lowercase__ ), max(lowercase__ )
__SCREAMING_SNAKE_CASE : Tuple =... | 696 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import torch
from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
@dataclass
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_S... | 696 | 1 |
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
__lowerCAmelCase : Any ={
# 1536-bit
5: {
'prime': int(
... | 696 |
from datetime import datetime
import requests
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[int] = '''https://downloadgram.net/wp-json/wppress/video-downloader/video?url='''
__SCREAMING_SNAKE_CASE : Tuple = requests.get(base_url + url ).js... | 696 | 1 |
import os
import re
import warnings
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from .tokenization_ta import TaTokenizer
else:
... | 696 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscreteScheduler,
PNDMScheduler,
Sta... | 696 | 1 |
def _UpperCamelCase ( lowercase__ , lowercase__ ):
return price * (1 + tax_rate)
if __name__ == "__main__":
print(f"""{price_plus_tax(1_0_0, 0.2_5) = }""")
print(f"""{price_plus_tax(1_2_5.5_0, 0.0_5) = }""")
| 696 |
# DISCLAIMER: This code is strongly influenced by https://github.com/pesser/pytorch_diffusion
# and https://github.com/hojonathanho/diffusion
import math
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from diffusers.configuration_utils import Confi... | 696 | 1 |
import unittest
from diffusers.models.unet_ad_blocks import * # noqa F403
from diffusers.utils import torch_device
from .test_unet_blocks_common import UNetBlockTesterMixin
class _lowercase ( A__ , unittest.TestCase ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : Dict ... | 696 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A__ )
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : str = field(default=''... | 696 | 1 |
def _UpperCamelCase ( lowercase__ ):
return str(lowercase__ ) == str(lowercase__ )[::-1]
def _UpperCamelCase ( lowercase__ ):
return int(lowercase__ ) + int(str(lowercase__ )[::-1] )
def _UpperCamelCase ( lowercase__ = 10000 ):
__SCREAMING_SNAKE_CASE : int = []... | 696 |
def _UpperCamelCase ( lowercase__ = 10**9 ):
__SCREAMING_SNAKE_CASE : List[str] = 1
__SCREAMING_SNAKE_CASE : int = 2
__SCREAMING_SNAKE_CASE : Union[str, Any] = 0
__SCREAMING_SNAKE_CASE : Dict = 0
__SCREAMING_SNAKE_CA... | 696 | 1 |
import unittest
from parameterized import parameterized
from transformers import AutoTokenizer, GPTNeoXConfig, is_torch_available, set_seed
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import C... | 696 |
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = len(lowercase__ )
__SCREAMING_SNAKE_CASE : List[str] = [[False for _ in range(m + 1 )] for _ in ... | 696 | 1 |
import copy
from typing import Dict, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig
__lowerCAmelCase : Optional[int] ={
'facebook/maskformer-swin-base-ade... | 696 |
from scipy.stats import pearsonr
import datasets
__lowerCAmelCase : str ='\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumptio... | 696 | 1 |
import itertools
import string
from collections.abc import Generator, Iterable
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[int] = iter(lowercase__ )
while True:
__SCREAMING_SNAKE_CASE : List[str] = tuple(... | 696 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer
__lowerCAmelCase : List[str] =logging.get_logger(__name__... | 696 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Optional[int] ={
'configuration_rembert': ['REMBERT_PRE... | 696 |
import os
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[Any] = len(grid[0] )
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = 0
__SCREAMING_SNAKE_CASE : Any = ... | 696 | 1 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils impor... | 696 |
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 import ConfigTester
from ...te... | 696 | 1 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaInpaintPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, load_image, load_numpy, slow, ... | 696 |
import os
from datetime import datetime as dt
from github import Github
__lowerCAmelCase : List[Any] =[
'good first issue',
'good second issue',
'good difficult issue',
'enhancement',
'new pipeline/model',
'new scheduler',
'wip',
]
def _UpperCamelCase ( ):
... | 696 | 1 |
import gc
import unittest
from transformers import MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, FillMaskPipeline, pipeline
from transformers.pipelines import PipelineException
from transformers.testing_utils import (
is_pipeline_test,
is_torch_available,
nested_simplify,
require_tf,
... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : Dict ={
'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
# See all CANINE mod... | 696 | 1 |
import warnings
from ...utils import logging
from .image_processing_donut import DonutImageProcessor
__lowerCAmelCase : List[str] =logging.get_logger(__name__)
class _lowercase ( A__ ):
'''simple docstring'''
def __init__( self :Optional[Any] , *lowerCAme... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : List[Any] =logging.get_logger(__name__)
__lowerCAmelCase : Tuple ={
'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}
class _lowe... | 696 | 1 |
def _UpperCamelCase ( lowercase__ ): # noqa: E741
__SCREAMING_SNAKE_CASE : Dict = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Any = 0
__SCREAMING_SNAKE_CASE : List[str] = [0] * n
__SCREAMING_SNAKE_CASE : int = [False] * n
... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : str =logging.get_logger(__name__)
__lowerCAmelCase : Any ={
# See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}
class _lowercase ( A__ ):... | 696 | 1 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__lowerCAmelCase : Any ={
'configuration_bridgetower': [
'BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP',
'BridgeTowerConfig',
'Brid... | 696 |
import os
import sys
import unittest
__lowerCAmelCase : List[Any] =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))
import check_dummies # noqa: E402
from check_dummies import create_dummy_files, create_dummy_obj... | 696 | 1 |
from typing import List, Optional, Union
import numpy as np
from ....audio_utils import mel_filter_bank, optimal_fft_length, spectrogram, window_function
from ....feature_extraction_sequence_utils import SequenceFeatureExtractor
from ....feature_extraction_utils import BatchFeature
from ....file_utils import Paddi... | 696 |
import math
from numpy import inf
from scipy.integrate import quad
def _UpperCamelCase ( lowercase__ ):
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase__ , 0 , lowercase__ , args=(lowercase__) )[0]
def _UpperCamelCase ( l... | 696 | 1 |
from datetime import datetime as dt
import os
from github import Github
__lowerCAmelCase : Dict =[
'good first issue',
'good second issue',
'good difficult issue',
'feature request',
'new model',
'wip',
]
def _UpperCamelCase ( ):
__SCREAMING_SNAKE_CASE : O... | 696 |
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
if principal <= 0:
raise Exception('''Principal borrowed must be > 0''' )
if rate_per_annum < 0:
raise Exception('''Rate of interest must be >= 0''' )
if years_to_repay <= 0 or not isinsta... | 696 | 1 |
from math import factorial
def _UpperCamelCase ( lowercase__ = 100 ):
return sum(map(lowercase__ , str(factorial(lowercase__ ) ) ) )
if __name__ == "__main__":
print(solution(int(input('Enter the Number: ').strip())))
| 696 |
from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Tuple = prime_factors(lowercase__ )
if is_square_free(lowercase__ ):
return -1 if len(lowercase__ ) % 2 else 1
... | 696 | 1 |
import os
import unittest
from tempfile import TemporaryDirectory
import torch
import torch.nn as nn
from accelerate.utils import (
OffloadedWeightsLoader,
extract_submodules_state_dict,
load_offloaded_weight,
offload_state_dict,
offload_weight,
)
class _lowercase ( nn.Module ):
... | 696 |
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuratio... | 696 | 1 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaControlnetImgaImgPipeline,
KandinskyVaaPriorEmbaEmbPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, load_image, l... | 696 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Any ={
'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Llama... | 696 | 1 |
import jax.numpy as jnp
from ...utils import logging
from ..ta.modeling_flax_ta import FlaxTaEncoderModel, FlaxTaForConditionalGeneration, FlaxTaModel
from .configuration_mta import MTaConfig
__lowerCAmelCase : List[str] =logging.get_logger(__name__)
__lowerCAmelCase : int =... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : List[Any] ={
'google/switch-base-8': 'https://huggingface.co/google/switch-base-8/blob/main/config.json',
}
class _... | 696 | 1 |
from math import isqrt
def _UpperCamelCase ( lowercase__ ):
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowercase__ ) + 1 ) )
def _UpperCamelCase ( lowercase__ = 10**6 ):
__SCREAMING_SNAKE_CASE : str = 0
__SCREAMING_SNAKE_CASE : Dict ... | 696 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import torch
from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
@dataclass
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_S... | 696 | 1 |
from sklearn.metrics import matthews_corrcoef
import datasets
__lowerCAmelCase : List[str] ='\nCompute the Matthews correlation coefficient (MCC)\n\nThe Matthews correlation coefficient is used in machine learning as a\nmeasure of the quality of binary and multiclass classifications. It takes\n... | 696 |
from datetime import datetime
import requests
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[int] = '''https://downloadgram.net/wp-json/wppress/video-downloader/video?url='''
__SCREAMING_SNAKE_CASE : Tuple = requests.get(base_url + url ).js... | 696 | 1 |
__lowerCAmelCase : str ={
'A': ['B', 'C', 'E'],
'B': ['A', 'D', 'E'],
'C': ['A', 'F', 'G'],
'D': ['B'],
'E': ['A', 'B', 'D'],
'F': ['C'],
'G': ['C'],
}
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE ... | 696 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscreteScheduler,
PNDMScheduler,
Sta... | 696 | 1 |
import argparse
import json
from pathlib import Path
import torch
import torchaudio
from datasets import load_dataset
from huggingface_hub import hf_hub_download
from transformers import ASTConfig, ASTFeatureExtractor, ASTForAudioClassification
from transformers.utils import logging
logging.set_verbosity_info()
... | 696 |
# DISCLAIMER: This code is strongly influenced by https://github.com/pesser/pytorch_diffusion
# and https://github.com/hojonathanho/diffusion
import math
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from diffusers.configuration_utils import Confi... | 696 | 1 |
from pathlib import Path
from typing import List
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText
if is_torch_available():
impor... | 696 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A__ )
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : str = field(default=''... | 696 | 1 |
def _UpperCamelCase ( lowercase__ , lowercase__ = False ):
if n == 2:
return True
if not n % 2 or n < 2:
return False
if n > 5 and n % 10 not in (1, 3, 7, 9): # can quickly check last digit
return False
if n > 3317044064679887385961981 and no... | 696 |
def _UpperCamelCase ( lowercase__ = 10**9 ):
__SCREAMING_SNAKE_CASE : List[str] = 1
__SCREAMING_SNAKE_CASE : int = 2
__SCREAMING_SNAKE_CASE : Union[str, Any] = 0
__SCREAMING_SNAKE_CASE : Dict = 0
__SCREAMING_SNAKE_CA... | 696 | 1 |
def _UpperCamelCase ( lowercase__ = 1000000 ):
__SCREAMING_SNAKE_CASE : List[Any] = [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__ ):
... | 696 |
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = len(lowercase__ )
__SCREAMING_SNAKE_CASE : List[str] = [[False for _ in range(m + 1 )] for _ in ... | 696 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : List[Any] ={
'google/switch-base-8': 'https://huggingface.co/google/switch-base-8/blob/main/config.json',
}
class _... | 696 |
from scipy.stats import pearsonr
import datasets
__lowerCAmelCase : str ='\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumptio... | 696 | 1 |
# This model implementation is heavily inspired by https://github.com/haofanwang/ControlNet-for-Diffusers/
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
... | 696 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer
__lowerCAmelCase : List[str] =logging.get_logger(__name__... | 696 | 1 |
from __future__ import annotations
import math
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ , lowercase__ , lowercase__ ):
if depth < 0:
raise ValueError('''Depth cannot be less than 0''' )
if not scores:
raise ValueError... | 696 |
import os
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[Any] = len(grid[0] )
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = 0
__SCREAMING_SNAKE_CASE : Any = ... | 696 | 1 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_funnel import FunnelTokenizer
__lowerCAmelCase : Tuple =logging.get_logger(__name__)
__lowerCA... | 696 |
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 import ConfigTester
from ...te... | 696 | 1 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__lowerCAmelCase : int =logging.get_logger(__name__)
__lowerCAmelCase : int ={
'andreasmadsen/ef... | 696 |
import os
from datetime import datetime as dt
from github import Github
__lowerCAmelCase : List[Any] =[
'good first issue',
'good second issue',
'good difficult issue',
'enhancement',
'new pipeline/model',
'new scheduler',
'wip',
]
def _UpperCamelCase ( ):
... | 696 | 1 |
from .imports import is_tqdm_available
if is_tqdm_available():
from tqdm.auto import tqdm as _tqdm
from ..state import PartialState
def _UpperCamelCase ( lowercase__ = True , *lowercase__ , **lowercase__ ):
if not is_tqdm_available():
raise ImportError('''Accelerate... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : Dict ={
'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
# See all CANINE mod... | 696 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Any ={
'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Llama... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : List[Any] =logging.get_logger(__name__)
__lowerCAmelCase : Tuple ={
'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}
class _lowe... | 696 | 1 |
import colorsys
from PIL import Image # type: ignore
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : Any = x
__SCREAMING_SNAKE_CASE : Optional[int] = y
for step in range(lowercase__ ): # noqa: B007
... | 696 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : str =logging.get_logger(__name__)
__lowerCAmelCase : Any ={
# See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}
class _lowercase ( A__ ):... | 696 | 1 |
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, ... | 696 |
import os
import sys
import unittest
__lowerCAmelCase : List[Any] =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))
import check_dummies # noqa: E402
from check_dummies import create_dummy_files, create_dummy_obj... | 696 | 1 |
from dataclasses import dataclass
from typing import Optional, Tuple
import torch
from torch import nn
from transformers import RobertaPreTrainedModel, XLMRobertaConfig, XLMRobertaModel
from transformers.utils import ModelOutput
@dataclass
class _lowercase ( A__ ):
'''simple docstring'''
S... | 696 |
import math
from numpy import inf
from scipy.integrate import quad
def _UpperCamelCase ( lowercase__ ):
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase__ , 0 , lowercase__ , args=(lowercase__) )[0]
def _UpperCamelCase ( l... | 696 | 1 |
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
convert_to_rgb,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel_dim... | 696 |
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
if principal <= 0:
raise Exception('''Principal borrowed must be > 0''' )
if rate_per_annum < 0:
raise Exception('''Rate of interest must be >= 0''' )
if years_to_repay <= 0 or not isinsta... | 696 | 1 |
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversation
SCREAMING_SNAKE_CASE__ ... | 0 |
from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Tuple = prime_factors(lowercase__ )
if is_square_free(lowercase__ ):
return -1 if len(lowercase__ ) % 2 else 1
... | 696 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__snake_case = logging.get_logger(__name__)
__snake_case = {
'''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/config.json''',
'''google/fnet-large''': '''h... | 1 |
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuratio... | 696 | 0 |
import unittest
from transformers import LiltConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTest... | 2 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Any ={
'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Llama... | 696 | 0 |
'''simple docstring'''
import gc
import unittest
from parameterized import parameterized
from diffusers import FlaxUNetaDConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow
if is_flax_available():
import jax
... | 3 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : List[Any] ={
'google/switch-base-8': 'https://huggingface.co/google/switch-base-8/blob/main/config.json',
}
class _... | 696 | 0 |
"""simple docstring"""
from __future__ import annotations
import math
from collections import Counter
from string import ascii_lowercase
def _SCREAMING_SNAKE_CASE (_UpperCAmelCase : str ):
lowerCAmelCase ,lowerCAmelCase = analyze_text(_UpperCAmelCase )
lowerCAmelCase = list(' '... | 4 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import torch
from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
@dataclass
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_S... | 696 | 0 |
'''simple docstring'''
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import ClassLabel, Features, Value
from .base import TaskTemplate
@dataclass(frozen=_SCREAMING_SNAKE_CASE )
class UpperCAmelCase_ ( _SCREAMING_SNAKE_CASE ):
... | 5 |
from datetime import datetime
import requests
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[int] = '''https://downloadgram.net/wp-json/wppress/video-downloader/video?url='''
__SCREAMING_SNAKE_CASE : Tuple = requests.get(base_url + url ).js... | 696 | 0 |
from ..utils import DummyObject, requires_backends
class UpperCamelCase_ ( metaclass=UpperCamelCase__ ):
lowerCamelCase_ = ["torch", "scipy"]
def __init__( self :str , *__A :Union[str, Any] , **__A :str ) -> Union[str, Any]:
... | 6 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscreteScheduler,
PNDMScheduler,
Sta... | 696 | 0 |
"""simple docstring"""
import warnings
from typing import Dict, List, Optional, Tuple
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
a = logging.get_logger(__name__)
class lowercase_ ( __lowerCAmelCase ):
'''simple docstring''... | 7 |
# DISCLAIMER: This code is strongly influenced by https://github.com/pesser/pytorch_diffusion
# and https://github.com/hojonathanho/diffusion
import math
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from diffusers.configuration_utils import Confi... | 696 | 0 |
'''simple docstring'''
import math
class SCREAMING_SNAKE_CASE :
def __init__( self , _UpperCAmelCase=0): # a graph with Node 0,1,...,N-1
'''simple docstring'''
__A : List[str] = n
__A : List[str] ... | 8 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A__ )
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : str = field(default=''... | 696 | 0 |
import os
import numpy
import onnx
def A ( __UpperCamelCase , __UpperCamelCase ) -> int:
A__ = a.name
A__ = b.name
A__ = ''
A__ = ''
A__ = a == b
A__ = name_a
A__ = name_b
return res
def A ( __UpperCamelCa... | 9 |
def _UpperCamelCase ( lowercase__ = 10**9 ):
__SCREAMING_SNAKE_CASE : List[str] = 1
__SCREAMING_SNAKE_CASE : int = 2
__SCREAMING_SNAKE_CASE : Union[str, Any] = 0
__SCREAMING_SNAKE_CASE : Dict = 0
__SCREAMING_SNAKE_CA... | 696 | 0 |
import json
import pathlib
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torc... | 10 |
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = len(lowercase__ )
__SCREAMING_SNAKE_CASE : List[str] = [[False for _ in range(m + 1 )] for _ in ... | 696 | 0 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_clip import CLIPImageProcessor
lowercase_ = logging.get_logger(__name__)
class __A ( A ):
'''simple docstring'''
def __init__(self , *A , **A ) -> None:
"... | 11 |
from scipy.stats import pearsonr
import datasets
__lowerCAmelCase : str ='\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumptio... | 696 | 0 |
def UpperCamelCase ( lowercase_ ) -> int:
'''simple docstring'''
if divisor % 5 == 0 or divisor % 2 == 0:
return 0
lowercase__ : Optional[int] = 1
lowercase__ : Dict = 1
while repunit:
lowercase__ : List[Any] = (10 * repunit + 1) % diviso... | 12 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer
__lowerCAmelCase : List[str] =logging.get_logger(__name__... | 696 | 0 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 |
import os
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[Any] = len(grid[0] )
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = 0
__SCREAMING_SNAKE_CASE : Any = ... | 696 | 0 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... | 14 |
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 import ConfigTester
from ...te... | 696 | 0 |
from __future__ import annotations
def UpperCamelCase ( __magic_name__ : list[int] ) -> list[int]: # This function is recursive
"""simple docstring"""
lowercase__ = len(__magic_name__ )
# If the array contains only one element, we return it (it's the sto... | 15 |
import os
from datetime import datetime as dt
from github import Github
__lowerCAmelCase : List[Any] =[
'good first issue',
'good second issue',
'good difficult issue',
'enhancement',
'new pipeline/model',
'new scheduler',
'wip',
]
def _UpperCamelCase ( ):
... | 696 | 0 |
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
__A : Tuple = (
'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 TH AD... | 16 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : Dict ={
'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
# See all CANINE mod... | 696 | 0 |
import unittest
from transformers import AlbertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, r... | 17 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : List[Any] =logging.get_logger(__name__)
__lowerCAmelCase : Tuple ={
'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}
class _lowe... | 696 | 0 |
'''simple docstring'''
def __a(SCREAMING_SNAKE_CASE_ : list , SCREAMING_SNAKE_CASE_ : int = 0 ):
'''simple docstring'''
_lowerCAmelCase = length or len(SCREAMING_SNAKE_CASE_ )
_lowerCAmelCase = False
for i in range(length - 1 ... | 18 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : str =logging.get_logger(__name__)
__lowerCAmelCase : Any ={
# See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}
class _lowercase ( A__ ):... | 696 | 0 |
"""simple docstring"""
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,... | 19 |
import os
import sys
import unittest
__lowerCAmelCase : List[Any] =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))
import check_dummies # noqa: E402
from check_dummies import create_dummy_files, create_dummy_obj... | 696 | 0 |
def _lowercase( __a : list[int] ):
if not nums: # Makes sure that the list is not empty
raise ValueError('List is empty' )
a__ =sum(__a ) / len(__a ) # Calculate the average
return sum(abs(x - average ) for x in nums ) / len(__a )
... | 20 |
import math
from numpy import inf
from scipy.integrate import quad
def _UpperCamelCase ( lowercase__ ):
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase__ , 0 , lowercase__ , args=(lowercase__) )[0]
def _UpperCamelCase ( l... | 696 | 0 |
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_dat... | 21 |
def _UpperCamelCase ( lowercase__ , lowercase__ , lowercase__ ):
if principal <= 0:
raise Exception('''Principal borrowed must be > 0''' )
if rate_per_annum < 0:
raise Exception('''Rate of interest must be >= 0''' )
if years_to_repay <= 0 or not isinsta... | 696 | 0 |
'''simple docstring'''
import json
import os
from typing import Optional
import numpy as np
from ...feature_extraction_utils import BatchFeature
from ...processing_utils import ProcessorMixin
from ...utils import logging
from ...utils.hub import get_file_from_repo
from ..auto import AutoToken... | 22 |
from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Tuple = prime_factors(lowercase__ )
if is_square_free(lowercase__ ):
return -1 if len(lowercase__ ) % 2 else 1
... | 696 | 0 |
import numpy
class _a :
"""simple docstring"""
def __init__( self , _UpperCAmelCase , _UpperCAmelCase ) -> None:
UpperCamelCase_ = input_array
# Random initial weights are assigned where first argument is the
# number of no... | 23 |
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuratio... | 696 | 0 |
'''simple docstring'''
from typing import Dict
from transformers import EvalPrediction, HfArgumentParser, TrainingArguments, is_torch_available
from transformers.testing_utils import (
TestCasePlus,
execute_subprocess_async,
get_torch_dist_unique_port,
require_torch_multi_gpu,
require_torch... | 24 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Any ={
'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Llama... | 696 | 0 |
import warnings
from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor
a_ = logging.get_logger(__name__)
class _UpperCamelCase ( __A ):
'''simple docstring'''
def __init__( self : List[str] , *a : Optional[int] , **a ... | 25 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : List[Any] ={
'google/switch-base-8': 'https://huggingface.co/google/switch-base-8/blob/main/config.json',
}
class _... | 696 | 0 |
'''simple docstring'''
from __future__ import annotations
def _a ( _lowerCamelCase , _lowerCamelCase , _lowerCamelCase , _lowerCamelCase ) -> Optional[int]: # noqa: E741
"""simple docstring"""
while r - l > 1:
__snake_case ... | 26 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import torch
from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
@dataclass
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_S... | 696 | 0 |
import inspect
import tempfile
import unittest
from huggingface_hub import hf_hub_download
from transformers import is_torch_available
from transformers.testing_utils import is_flaky, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_c... | 27 |
from datetime import datetime
import requests
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[int] = '''https://downloadgram.net/wp-json/wppress/video-downloader/video?url='''
__SCREAMING_SNAKE_CASE : Tuple = requests.get(base_url + url ).js... | 696 | 0 |
'''simple docstring'''
import operator as op
UpperCamelCase_ = "scaler.pt"
UpperCamelCase_ = "pytorch_model"
UpperCamelCase_ = "random_states"
UpperCamelCase_ = "optimizer"
UpperCamelCase_ = "scheduler"
UpperCamelCase_ = "pytorch_model.bin"
UpperCame... | 28 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscreteScheduler,
PNDMScheduler,
Sta... | 696 | 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""", ""... | 29 |
# DISCLAIMER: This code is strongly influenced by https://github.com/pesser/pytorch_diffusion
# and https://github.com/hojonathanho/diffusion
import math
from dataclasses import dataclass
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from diffusers.configuration_utils import Confi... | 696 | 0 |
import argparse
import torch
from torch import nn
from transformers import MaMaaaConfig, MaMaaaForConditionalGeneration
def lowerCamelCase__ ( _lowercase ):
'''simple docstring'''
UpperCAmelCase_ : List[str] = [
'''encoder.version''',
'''decoder.version''',
... | 30 |
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A__ )
class _lowercase ( A__ ):
'''simple docstring'''
SCREAMING_SNAKE_CASE__ : str = field(default=''... | 696 | 0 |
import cva
import numpy as np
class lowerCamelCase_ :
'''simple docstring'''
def __init__( self : Any , _lowerCAmelCase : float , _lowerCAmelCase : int ):
if k in (0.04, 0.06):
SCREAMING_SNAKE_CASE_ = k
... | 31 |
def _UpperCamelCase ( lowercase__ = 10**9 ):
__SCREAMING_SNAKE_CASE : List[str] = 1
__SCREAMING_SNAKE_CASE : int = 2
__SCREAMING_SNAKE_CASE : Union[str, Any] = 0
__SCREAMING_SNAKE_CASE : Dict = 0
__SCREAMING_SNAKE_CA... | 696 | 0 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 32 |
def _UpperCamelCase ( lowercase__ , lowercase__ ):
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = len(lowercase__ )
__SCREAMING_SNAKE_CASE : List[str] = [[False for _ in range(m + 1 )] for _ in ... | 696 | 0 |
from collections import deque
def SCREAMING_SNAKE_CASE ( __lowerCAmelCase ) -> Union[str, Any]:
snake_case__ = len(__lowerCAmelCase )
snake_case__ = deque()
snake_case__ = [False for _ in range(__lowerCAmelCase )]
snake_case__ = [-1 for _ in range(__... | 33 |
from scipy.stats import pearsonr
import datasets
__lowerCAmelCase : str ='\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumptio... | 696 | 0 |
"""simple docstring"""
import copy
from typing import Any, Dict, List, Optional, Union
import numpy as np
import torch
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import ... | 34 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer
__lowerCAmelCase : List[str] =logging.get_logger(__name__... | 696 | 0 |
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowercase ( _UpperCAmelCase ):
lowerCamelCase : Optional[Any] = ['''image_processor''', '''tokenizer''']
lowerCamelCase : List[Any] = '''ViTImageProce... | 35 |
import os
def _UpperCamelCase ( lowercase__ ):
__SCREAMING_SNAKE_CASE : Optional[Any] = len(grid[0] )
__SCREAMING_SNAKE_CASE : str = len(lowercase__ )
__SCREAMING_SNAKE_CASE : Optional[int] = 0
__SCREAMING_SNAKE_CASE : Any = ... | 696 | 0 |
def lowercase ( __A : int = 10 ) -> str:
'''simple docstring'''
if not isinstance(__A , __A ) or n < 0:
raise ValueError("""Invalid input""" )
snake_case : Dict = 10**n
snake_case : Optional[int] = 2_8433 * (pow(2 , 783_0457 , ... | 36 |
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 import ConfigTester
from ...te... | 696 | 0 |
import inspect
import unittest
import numpy as np
from tests.test_modeling_common import floats_tensor
from transformers import MaskaFormerConfig, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transform... | 37 |
import os
from datetime import datetime as dt
from github import Github
__lowerCAmelCase : List[Any] =[
'good first issue',
'good second issue',
'good difficult issue',
'enhancement',
'new pipeline/model',
'new scheduler',
'wip',
]
def _UpperCamelCase ( ):
... | 696 | 0 |
'''simple docstring'''
from math import factorial
def UpperCamelCase__ ( __magic_name__ : int = 1_00 ) -> int:
'''simple docstring'''
return sum(int(__magic_name__ ) for x in str(factorial(__magic_name__ ) ) )
if __name__ == "__main__":
print(so... | 38 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Dict =logging.get_logger(__name__)
__lowerCAmelCase : Dict ={
'google/canine-s': 'https://huggingface.co/google/canine-s/resolve/main/config.json',
# See all CANINE mod... | 696 | 0 |
import warnings
from ...utils import logging
from .image_processing_donut import DonutImageProcessor
lowerCAmelCase_ = logging.get_logger(__name__)
class snake_case_ ( __A ):
'''simple docstring'''
def __init__( self : int , *_Uppe... | 39 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : List[Any] =logging.get_logger(__name__)
__lowerCAmelCase : Tuple ={
'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}
class _lowe... | 696 | 0 |
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