code stringlengths 81 54k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
from math import factorial
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0 ):
'''simple docstring'''
return sum(int(SCREAMING_SNAKE_CASE ) for x in str(factorial(SCREAMING_SNAKE_CASE ) ) )
if __name__ == "__main__":
p... | 681 |
"""simple docstring"""
from typing import Any
class SCREAMING_SNAKE_CASE__ :
"""simple docstring"""
def __init__( self , snake_case__ ):
"""simple docstring"""
lowerCAmelCase : Dict = data
lowerCAmelCase : Any = None
... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : list[int] ):
'''simple docstring'''
if not numbers:
return 0
if not isinstance(SCREAMING_SNAKE_CASE , (list, tuple) ) or not all(
isinstance(SCREAMING_SNAKE_CASE , SCREAMING_SNA... | 681 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase__ = {
'''configuration_efficientformer''': [
'''EFFICIENTFORMER... | 681 | 1 |
"""simple docstring"""
import os
# Precomputes a list of the 100 first triangular numbers
lowerCAmelCase__ = [int(0.5 * n * (n + 1)) for n in range(1, 101)]
def a__ ( ):
'''simple docstring'''
lowerCAmelCase : Optional[Any] = os.path.dirname(os.path.realpath... | 681 |
"""simple docstring"""
import argparse
import csv
import logging
import os
import random
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from tqdm import tqdm, trange
from transformers import (
CONFIG_NAME,
WEIGHTS_NAME,
Ad... | 681 | 1 |
"""simple docstring"""
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, PNDMScheduler, StableDiffusionInpaintPipeline, UNetaDConditionModel
from diffusers.u... | 681 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''huggingface/informer-tourism-monthly''': (
'''https... | 681 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable
lowerCAmelCase__ = {
'''configuration_gpt_neox_japanese''': ['''GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNe... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if num < 0:
return False
lowerCAmelCase : int = num
lowerCAmelCase : int = 0
while num > 0:
lowerCAmelCase : Dict = rev_num * 1_0 + (num ... | 681 | 1 |
"""simple docstring"""
import heapq
def a__ ( SCREAMING_SNAKE_CASE : dict ):
'''simple docstring'''
lowerCAmelCase : list[list] = []
# for each node and his adjacency list add them and the rank of the node to queue
# using heapq module the queue will be... | 681 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase__ = 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_copies # noq... | 681 | 1 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings_flax imp... | 681 |
"""simple docstring"""
import re
from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P
# Sentinels
lowerCAmelCase__ = object()
# For specifying empty leaf dict `{}`
lowerCAmelCase__ = o... | 681 | 1 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/ermongroup/ddim
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax
import jax.numpy as jnp
from ..configuration_utils import ConfigMixin, register_to_config
from .sche... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0 , SCREAMING_SNAKE_CASE : int = 2_2 ):
'''simple docstring'''
lowerCAmelCase : Dict = range(1 , SCREAMING_SNAKE_CASE )
lowerCAmelCase : List[str] = ran... | 681 | 1 |
"""simple docstring"""
import itertools
import random
import unittest
import numpy as np
from transformers import BatchFeature, SpeechTaFeatureExtractor
from transformers.testing_utils import require_torch
from transformers.utils.import_utils import is_torch_available
from ...test_sequence_feature_extracti... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : List[str] ):
'''simple docstring'''
lowerCAmelCase : Optional[int] = len(SCREAMING_SNAKE_CASE )
while cur > 1:
# Find the maximum number in arr
lowerCAmelCase : List[str] = arr... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
lowerCAmelCase__ = list[tuple[int, int]]
lowerCAmelCase__ = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstacles
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0],
[1, 0... | 681 |
"""simple docstring"""
from ..utils import is_flax_available, is_torch_available
if is_torch_available():
from .autoencoder_kl import AutoencoderKL
from .controlnet import ControlNetModel
from .dual_transformer_ad import DualTransformeraDModel
from .modeling_utils import ModelMixin
... | 681 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase__ = {
'''configuration_pegasus_x''': ['''PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PegasusXConfig'''],
}
try:
if not is_tor... | 681 |
"""simple docstring"""
import math
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
return math.sqrt(SCREAMING_SNAKE_CASE ) * math.sqrt(SCREAMING_SNAKE_CASE ) == num
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''... | 681 | 1 |
"""simple docstring"""
from itertools import product
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros
def a__ ( SCREAMING_SNAKE_CASE : Optional[int] , SCREAMING_SNAKE_CASE : str ):... | 681 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__... | 681 | 1 |
"""simple docstring"""
lowerCAmelCase__ = [
(1_000, '''M'''),
(900, '''CM'''),
(500, '''D'''),
(400, '''CD'''),
(100, '''C'''),
(90, '''XC'''),
(50, '''L'''),
(40, '''XL'''),
(10, '''X'''),
(9, '''IX'''),
(5, '''V'''),
(4, '''IV'''),
(1, '''I'''... | 681 |
"""simple docstring"""
from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeat... | 681 | 1 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
convert_to_rgb,
get_resize_output_image_size,
normalize,
rescale,
... | 681 |
"""simple docstring"""
import copy
import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available... | 681 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyInpaintPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffusers.pipelines.... | 681 |
"""simple docstring"""
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__ ... | 681 | 1 |
"""simple docstring"""
import enum
import warnings
from .. import MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_CAUSAL_LM_MAPPING
from ..utils import add_end_docstrings, is_tf_available
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
class SCREAMING_SNAKE_... | 681 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
fro... | 681 | 1 |
"""simple docstring"""
import unittest
from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow
if is_flax_available():
import jax
from transformers.models.auto.modeling_flax_... | 681 |
"""simple docstring"""
import random
from .binary_exp_mod import bin_exp_mod
def a__ ( SCREAMING_SNAKE_CASE : Any , SCREAMING_SNAKE_CASE : int=1_0_0_0 ):
'''simple docstring'''
if n < 2:
return False
if n % 2 == 0:
return n == 2
# this m... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : Dict ):
'''simple docstring'''
lowerCAmelCase : List[str] = len(SCREAMING_SNAKE_CASE )
lowerCAmelCase : str = sum(SCREAMING_SNAKE_CASE )
lowerCAmelCase : List[str] = ... | 681 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/ermongroup/ddim
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax
import jax.numpy as jnp
from ..configuration_utils import ConfigMixin, register_to_config
from .sche... | 681 | 1 |
"""simple docstring"""
import unittest
from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property
from ...test_tokenization_common import TokenizerTesterMixin
lowerCAmelCas... | 681 |
"""simple docstring"""
import argparse
import OmegaConf
import torch
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def a__ ( SCREAMING_SNAKE_CASE : int , SCREAMING_SNAKE_CASE : Tuple , SCREAMING_SNAKE_CASE : Optional[int] ... | 681 | 1 |
"""simple docstring"""
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0_0 ):
'''simple docstring'''
return sum(e for e in range(3 , SCREAMING_SNAKE_CASE ) if e % 3 == 0 or e % 5 == 0 )
if __name__ == "__main__":
print(F"{solution() = }")
| 681 | 1 |
"""simple docstring"""
import comet # From: unbabel-comet
import torch
import datasets
lowerCAmelCase__ = datasets.logging.get_logger(__name__)
lowerCAmelCase__ = '''\
@inproceedings{rei-EtAl:2020:WMT,
author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and ... | 681 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
def a__ ( SCREAMING_SNAKE_CASE : list[int] , SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if len(SCREAMING_SNAKE_CASE ) < k or k < 0:
raise ValueError("Invalid Input" )
... | 681 |
"""simple docstring"""
from math import factorial
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0 ):
'''simple docstring'''
return sum(int(SCREAMING_SNAKE_CASE ) for x in str(factorial(SCREAMING_SNAKE_CASE ) ) )
if __name__ == "__main__":
p... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
import math
def a__ ( SCREAMING_SNAKE_CASE : int , SCREAMING_SNAKE_CASE : int , SCREAMING_SNAKE_CASE : bool , SCREAMING_SNAKE_CASE : list[int] , SCREAMING_SNAKE_CASE : ... | 681 |
"""simple docstring"""
from typing import Any
class SCREAMING_SNAKE_CASE__ :
"""simple docstring"""
def __init__( self , snake_case__ ):
"""simple docstring"""
lowerCAmelCase : Dict = data
lowerCAmelCase : Any = None
... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0 , SCREAMING_SNAKE_CASE : int = 2_2 ):
'''simple docstring'''
lowerCAmelCase : Dict = range(1 , SCREAMING_SNAKE_CASE )
lowerCAmelCase : List[str] = ran... | 681 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase__ = {
'''configuration_efficientformer''': [
'''EFFICIENTFORMER... | 681 | 1 |
"""simple docstring"""
from functools import reduce
lowerCAmelCase__ = (
'''73167176531330624919225119674426574742355349194934'''
'''96983520312774506326239578318016984801869478851843'''
'''85861560789112949495459501737958331952853208805511'''
'''125406987471585238630507156932909... | 681 |
"""simple docstring"""
import argparse
import csv
import logging
import os
import random
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from tqdm import tqdm, trange
from transformers import (
CONFIG_NAME,
WEIGHTS_NAME,
Ad... | 681 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''transfo-xl-wt103''': '''https://huggingface.co/transfo-xl-wt103/resolve/main/config.json''',
}
clas... | 681 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''huggingface/informer-tourism-monthly''': (
'''https... | 681 | 1 |
"""simple docstring"""
import argparse
import hashlib # hashlib is only used inside the Test class
import struct
class SCREAMING_SNAKE_CASE__ :
"""simple docstring"""
def __init__( self , snake_case__ ):
"""simple docstring"""
lowerCAmelCase : Unio... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if num < 0:
return False
lowerCAmelCase : int = num
lowerCAmelCase : int = 0
while num > 0:
lowerCAmelCase : Dict = rev_num * 1_0 + (num ... | 681 | 1 |
"""simple docstring"""
import collections
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = ... | 681 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase__ = 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_copies # noq... | 681 | 1 |
"""simple docstring"""
import random
from .binary_exp_mod import bin_exp_mod
def a__ ( SCREAMING_SNAKE_CASE : Any , SCREAMING_SNAKE_CASE : int=1_0_0_0 ):
'''simple docstring'''
if n < 2:
return False
if n % 2 == 0:
return n == 2
# this m... | 681 |
"""simple docstring"""
import re
from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P
# Sentinels
lowerCAmelCase__ = object()
# For specifying empty leaf dict `{}`
lowerCAmelCase__ = o... | 681 | 1 |
"""simple docstring"""
import argparse
import json
import os
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_se... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0 , SCREAMING_SNAKE_CASE : int = 2_2 ):
'''simple docstring'''
lowerCAmelCase : Dict = range(1 , SCREAMING_SNAKE_CASE )
lowerCAmelCase : List[str] = ran... | 681 | 1 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
fr... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : List[str] ):
'''simple docstring'''
lowerCAmelCase : Optional[int] = len(SCREAMING_SNAKE_CASE )
while cur > 1:
# Find the maximum number in arr
lowerCAmelCase : List[str] = arr... | 681 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...feature_extraction_utils import FeatureExtractionMixin
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimens... | 681 |
"""simple docstring"""
from ..utils import is_flax_available, is_torch_available
if is_torch_available():
from .autoencoder_kl import AutoencoderKL
from .controlnet import ControlNetModel
from .dual_transformer_ad import DualTransformeraDModel
from .modeling_utils import ModelMixin
... | 681 | 1 |
"""simple docstring"""
import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class SCREAMING_SNAKE_CASE__ ( lowercase ):
"""simple docstring"""
a : Optional[int] ="M-CLIP"
def __init__( self , snake_case__=1_024 , sn... | 681 |
"""simple docstring"""
import math
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
return math.sqrt(SCREAMING_SNAKE_CASE ) * math.sqrt(SCREAMING_SNAKE_CASE ) == num
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''... | 681 | 1 |
"""simple docstring"""
import os
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
lowerCAmelCase : Union[str, Any] = len(grid[0] )
lowerCAmelCase : Optional[Any] = len(SCREAMING_SNAKE_CASE )
lowerCAmelCase : Union[s... | 681 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__... | 681 | 1 |
"""simple docstring"""
import argparse
import json
import os
import numpy as np
import PIL
import requests
import tensorflow.keras.applications.efficientnet as efficientnet
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from tensorflow.keras.preprocessing import image
from tr... | 681 |
"""simple docstring"""
from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeat... | 681 | 1 |
"""simple docstring"""
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__ = {
'''linear''': PIL.Image.Resampling.BILINEAR,
'... | 681 |
"""simple docstring"""
import copy
import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available... | 681 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''microsoft/markuplm-base''': '''https://huggingface.co/microsoft/markuplm-base/resolve/main/config.jso... | 681 |
"""simple docstring"""
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__ ... | 681 | 1 |
"""simple docstring"""
import math
def a__ ( SCREAMING_SNAKE_CASE : Optional[int] , SCREAMING_SNAKE_CASE : List[Any] ):
'''simple docstring'''
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * math.log... | 681 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
fro... | 681 | 1 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from tran... | 681 |
"""simple docstring"""
import random
from .binary_exp_mod import bin_exp_mod
def a__ ( SCREAMING_SNAKE_CASE : Any , SCREAMING_SNAKE_CASE : int=1_0_0_0 ):
'''simple docstring'''
if n < 2:
return False
if n % 2 == 0:
return n == 2
# this m... | 681 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class SCREAMING_SNAKE_CASE__ ( metaclass=lowercase ):
"""simple docstring"""
a : List[str] =["torch", "scipy"]
def __init__( self , *snake_case__ , **snake_case__ ):
... | 681 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/ermongroup/ddim
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax
import jax.numpy as jnp
from ..configuration_utils import ConfigMixin, register_to_config
from .sche... | 681 | 1 |
"""simple docstring"""
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, slo... | 681 |
"""simple docstring"""
import argparse
import OmegaConf
import torch
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def a__ ( SCREAMING_SNAKE_CASE : int , SCREAMING_SNAKE_CASE : Tuple , SCREAMING_SNAKE_CASE : Optional[int] ... | 681 | 1 |
"""simple docstring"""
from pickle import UnpicklingError
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict
from ..utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
def a__ ( ... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0_0 ):
'''simple docstring'''
return sum(e for e in range(3 , SCREAMING_SNAKE_CASE ) if e % 3 == 0 or e % 5 == 0 )
if __name__ == "__main__":
print(F"{solution() = }")
| 681 | 1 |
"""simple docstring"""
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available
if is_vision_available():
from PIL import Image
from transformers import AutoProcessor, ... | 681 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
... | 681 | 1 |
"""simple docstring"""
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... | 681 |
"""simple docstring"""
from math import factorial
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0 ):
'''simple docstring'''
return sum(int(SCREAMING_SNAKE_CASE ) for x in str(factorial(SCREAMING_SNAKE_CASE ) ) )
if __name__ == "__main__":
p... | 681 | 1 |
"""simple docstring"""
import os
import tempfile
import unittest
import uuid
from pathlib import Path
from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils imp... | 681 |
"""simple docstring"""
from typing import Any
class SCREAMING_SNAKE_CASE__ :
"""simple docstring"""
def __init__( self , snake_case__ ):
"""simple docstring"""
lowerCAmelCase : Dict = data
lowerCAmelCase : Any = None
... | 681 | 1 |
"""simple docstring"""
from ....configuration_utils import PretrainedConfig
from ....utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''Visual-Attention-Network/van-base''': (
'''https://huggingface.co/Visual-Attention-Network/... | 681 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase__ = {
'''configuration_efficientformer''': [
'''EFFICIENTFORMER... | 681 | 1 |
"""simple docstring"""
import logging
import os
from typing import Dict, List, Optional, Union
import torch
import torch.nn as nn
from accelerate.utils.imports import (
is_abit_bnb_available,
is_abit_bnb_available,
is_bnb_available,
)
from ..big_modeling import dispatch_model, init_empty_weight... | 681 |
"""simple docstring"""
import argparse
import csv
import logging
import os
import random
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from tqdm import tqdm, trange
from transformers import (
CONFIG_NAME,
WEIGHTS_NAME,
Ad... | 681 | 1 |
"""simple docstring"""
import pytest
import requests
from datasets.utils.file_utils import http_head
from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline
@pytest.mark.integration
def a__ ( ):
'''simple docstring'''
with offline(OfflineSimulationMod... | 681 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''huggingface/informer-tourism-monthly''': (
'''https... | 681 | 1 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
lowerCAmelCase__ = logging.get_logger(__name__)
class SCREAMING_SNAKE_CASE__ ( lowercase ):
"""simple docstring"""
def __init__( self , *... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if num < 0:
return False
lowerCAmelCase : int = num
lowerCAmelCase : int = 0
while num > 0:
lowerCAmelCase : Dict = rev_num * 1_0 + (num ... | 681 | 1 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | 681 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase__ = 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_copies # noq... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
def a__ ( SCREAMING_SNAKE_CASE : list[int] , SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
lowerCAmelCase : str = 0
lowerCAmelCase : Any = len(SCREAMING_SNAKE_CASE ... | 681 |
"""simple docstring"""
import re
from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P
# Sentinels
lowerCAmelCase__ = object()
# For specifying empty leaf dict `{}`
lowerCAmelCase__ = o... | 681 | 1 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase__ = 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_copies # noq... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0 , SCREAMING_SNAKE_CASE : int = 2_2 ):
'''simple docstring'''
lowerCAmelCase : Dict = range(1 , SCREAMING_SNAKE_CASE )
lowerCAmelCase : List[str] = ran... | 681 | 1 |
"""simple docstring"""
import argparse
import json
from typing import List
from ltp import LTP
from transformers.models.bert.tokenization_bert import BertTokenizer
def a__ ( SCREAMING_SNAKE_CASE : Union[str, Any] ):
'''simple docstring'''
if (
(cp >= 0x4_E_0_0... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : List[str] ):
'''simple docstring'''
lowerCAmelCase : Optional[int] = len(SCREAMING_SNAKE_CASE )
while cur > 1:
# Find the maximum number in arr
lowerCAmelCase : List[str] = arr... | 681 | 1 |
"""simple docstring"""
import copy
import random
from transformers import CLIPTokenizer
class SCREAMING_SNAKE_CASE__ ( lowercase ):
"""simple docstring"""
def __init__( self , *snake_case__ , **snake_case__ ):
"""simple docstring"""
super().__... | 681 |
"""simple docstring"""
from ..utils import is_flax_available, is_torch_available
if is_torch_available():
from .autoencoder_kl import AutoencoderKL
from .controlnet import ControlNetModel
from .dual_transformer_ad import DualTransformeraDModel
from .modeling_utils import ModelMixin
... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
def a__ ( SCREAMING_SNAKE_CASE : tuple[int, int] , SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
lowerCAmelCase , lowerCAmelCase : List[Any] = position
lowerCAmelCase :... | 681 |
"""simple docstring"""
import math
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
return math.sqrt(SCREAMING_SNAKE_CASE ) * math.sqrt(SCREAMING_SNAKE_CASE ) == num
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''... | 681 | 1 |
"""simple docstring"""
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from huggingface_hub import HfFolder, Repository, create_repo, delete_repo
from requests.exceptions import HTTPError
import transformers
from transformers import (
... | 681 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__... | 681 | 1 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, XLMRobertaTokenizer
from diffusers import AltDiffusionPipeline, AutoencoderKL, DDIMScheduler, PNDMScheduler, UNetaDConditionModel
from diffusers.pipelines.alt_diffusion.mo... | 681 |
"""simple docstring"""
from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeat... | 681 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
lowerCAmelCase__ = {
'''google/tapas-base-finetuned-sqa''': (
'''https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json'''
),
'''google/tapas-base-finetuned-wtq''': (
... | 681 |
"""simple docstring"""
import copy
import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available... | 681 | 1 |
"""simple docstring"""
import warnings
from typing import List
import numpy as np
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
from ...utils import is_flax_available, is_tf_available, is_torch_available
class SCREAMING_SNAKE_CASE__ ( lowercas... | 681 |
"""simple docstring"""
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__ ... | 681 | 1 |
"""simple docstring"""
lowerCAmelCase__ = '''
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
'''
lowerCAmelCase__ = [{'''type''': '''code''', '''conten... | 681 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
fro... | 681 | 1 |
"""simple docstring"""
from typing import Optional
from torch import nn
from .transformer_ad import TransformeraDModel, TransformeraDModelOutput
class SCREAMING_SNAKE_CASE__ ( nn.Module ):
"""simple docstring"""
def __init__( self , snake_case__ = 16 , snake_case__ = 88 ,... | 681 |
"""simple docstring"""
import random
from .binary_exp_mod import bin_exp_mod
def a__ ( SCREAMING_SNAKE_CASE : Any , SCREAMING_SNAKE_CASE : int=1_0_0_0 ):
'''simple docstring'''
if n < 2:
return False
if n % 2 == 0:
return n == 2
# this m... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
import numpy as np
from numpy import floataa
from numpy.typing import NDArray
def a__ ( SCREAMING_SNAKE_CASE : NDArray[floataa] , SCREAMING_SNAKE_CASE : NDArray[floataa] , SCREAMING_SNAKE_CASE : l... | 681 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/ermongroup/ddim
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax
import jax.numpy as jnp
from ..configuration_utils import ConfigMixin, register_to_config
from .sche... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import ... | 681 |
"""simple docstring"""
import argparse
import OmegaConf
import torch
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def a__ ( SCREAMING_SNAKE_CASE : int , SCREAMING_SNAKE_CASE : Tuple , SCREAMING_SNAKE_CASE : Optional[int] ... | 681 | 1 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0_0 ):
'''simple docstring'''
return sum(e for e in range(3 , SCREAMING_SNAKE_CASE ) if e % 3 == 0 or e % 5 == 0 )
if __name__ == "__main__":
print(F"{solution() = }")
| 681 | 1 |
"""simple docstring"""
import argparse
import json
import torch
from diffusers import DDPMScheduler, LDMPipeline, UNetaDModel, VQModel
def a__ ( SCREAMING_SNAKE_CASE : Optional[int] , SCREAMING_SNAKE_CASE : List[str]=1 ):
'''simple docstring'''
if n_... | 681 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
... | 681 | 1 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
fr... | 681 |
"""simple docstring"""
from math import factorial
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0 ):
'''simple docstring'''
return sum(int(SCREAMING_SNAKE_CASE ) for x in str(factorial(SCREAMING_SNAKE_CASE ) ) )
if __name__ == "__main__":
p... | 681 | 1 |
"""simple docstring"""
from torch import nn
class SCREAMING_SNAKE_CASE__ ( nn.Module ):
"""simple docstring"""
def __init__( self , snake_case__ , snake_case__ ):
"""simple docstring"""
super().__init__()
lowerCAmelCase : str = ... | 681 |
"""simple docstring"""
from typing import Any
class SCREAMING_SNAKE_CASE__ :
"""simple docstring"""
def __init__( self , snake_case__ ):
"""simple docstring"""
lowerCAmelCase : Dict = data
lowerCAmelCase : Any = None
... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if num < 0:
return False
lowerCAmelCase : int = num
lowerCAmelCase : int = 0
while num > 0:
lowerCAmelCase : Dict = rev_num * 1_0 + (num ... | 681 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase__ = {
'''configuration_efficientformer''': [
'''EFFICIENTFORMER... | 681 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
lowerCAmelCase__ = {
'''configuration_tapas''': ['''TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TapasConfig'''],
'''tokenization_... | 681 |
"""simple docstring"""
import argparse
import csv
import logging
import os
import random
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from tqdm import tqdm, trange
from transformers import (
CONFIG_NAME,
WEIGHTS_NAME,
Ad... | 681 | 1 |
"""simple docstring"""
import unittest
from transformers.testing_utils import require_bsa
from transformers.utils import is_bsa_available
from ...test_feature_extraction_common import FeatureExtractionSavingTestMixin
if is_bsa_available():
from transformers import MarkupLMFeatureExtractor
class ... | 681 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''huggingface/informer-tourism-monthly''': (
'''https... | 681 | 1 |
"""simple docstring"""
import argparse
import torch
from transformers import BertConfig, BertForPreTraining, load_tf_weights_in_bert
from transformers.utils import logging
logging.set_verbosity_info()
def a__ ( SCREAMING_SNAKE_CASE : Dict , SCREAMING_SNAKE_CASE : Lis... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if num < 0:
return False
lowerCAmelCase : int = num
lowerCAmelCase : int = 0
while num > 0:
lowerCAmelCase : Dict = rev_num * 1_0 + (num ... | 681 | 1 |
"""simple docstring"""
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class SCREAMING_SNAKE_CASE__ ( lowercase ):
"""simple docstring"""
@staticmethod
@abstractmethod
def lowercase__ ( snake_case__ ):
"""simple doc... | 681 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase__ = 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_copies # noq... | 681 | 1 |
"""simple docstring"""
import argparse
from tax import checkpoints
from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def a__ ( SCREAMING_SNAKE_CASE : List[Any] , SCREAMING_SNAKE_CASE : str , SCREAMING_SNAKE_CASE : Dict ):
'''simpl... | 681 |
"""simple docstring"""
import re
from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P
# Sentinels
lowerCAmelCase__ = object()
# For specifying empty leaf dict `{}`
lowerCAmelCase__ = o... | 681 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin
if is_torch_available():
im... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0 , SCREAMING_SNAKE_CASE : int = 2_2 ):
'''simple docstring'''
lowerCAmelCase : Dict = range(1 , SCREAMING_SNAKE_CASE )
lowerCAmelCase : List[str] = ran... | 681 | 1 |
"""simple docstring"""
import inspect
import unittest
import warnings
from transformers import DeiTConfig
from transformers.models.auto import get_values
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : List[str] ):
'''simple docstring'''
lowerCAmelCase : Optional[int] = len(SCREAMING_SNAKE_CASE )
while cur > 1:
# Find the maximum number in arr
lowerCAmelCase : List[str] = arr... | 681 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json'... | 681 |
"""simple docstring"""
from ..utils import is_flax_available, is_torch_available
if is_torch_available():
from .autoencoder_kl import AutoencoderKL
from .controlnet import ControlNetModel
from .dual_transformer_ad import DualTransformeraDModel
from .modeling_utils import ModelMixin
... | 681 | 1 |
"""simple docstring"""
import logging
import math
import os
from dataclasses import dataclass, field
from glob import glob
from typing import Optional
from torch.utils.data import ConcatDataset
import transformers
from transformers import (
CONFIG_MAPPING,
MODEL_WITH_LM_HEAD_MAPPING,
AutoConfig,... | 681 |
"""simple docstring"""
import math
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
return math.sqrt(SCREAMING_SNAKE_CASE ) * math.sqrt(SCREAMING_SNAKE_CASE ) == num
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''... | 681 | 1 |
"""simple docstring"""
import absl # noqa: F401 # Here to have a nice missing dependency error message early on
import nltk # noqa: F401 # Here to have a nice missing dependency error message early on
import numpy # noqa: F401 # Here to have a nice missing dependency error message early on
import six # no... | 681 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : Optional[int] , SCREAMING_SNAKE_CASE : Optional[int] ):
'''simple docstring'''
lowerCAmelCase : Optional[Any] = 0
lowerCAmelCase : Optional[Any] = len(SCREAMING_SNAKE_CASE ... | 681 |
"""simple docstring"""
from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeat... | 681 | 1 |
"""simple docstring"""
from math import ceil
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0_1 ):
'''simple docstring'''
lowerCAmelCase : int = 1
for i in range(1 , int(ceil(n / 2.0 ) ) ):
lowerCAmelCase : Optional[int] = ... | 681 |
"""simple docstring"""
import copy
import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available... | 681 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase__ = {
'''configuration_efficientformer''': [
'''EFFICIENTFORMER... | 681 |
"""simple docstring"""
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__ ... | 681 | 1 |
"""simple docstring"""
import argparse
import json
import os
import pickle
import shutil
import numpy as np
import torch
from distiller import Distiller
from lm_seqs_dataset import LmSeqsDataset
from transformers import (
BertConfig,
BertForMaskedLM,
BertTokenizer,
DistilBertConfig,
Dist... | 681 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
fro... | 681 | 1 |
"""simple docstring"""
import argparse
import os
from . import (
ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
BART_PRETRAINED_MODEL_ARCHIVE_LIST,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP,
DISTILBERT_PRETRAINED_CONFIG_ARCH... | 681 |
"""simple docstring"""
import random
from .binary_exp_mod import bin_exp_mod
def a__ ( SCREAMING_SNAKE_CASE : Any , SCREAMING_SNAKE_CASE : int=1_0_0_0 ):
'''simple docstring'''
if n < 2:
return False
if n % 2 == 0:
return n == 2
# this m... | 681 | 1 |
"""simple docstring"""
import logging
from dataclasses import dataclass, field
from typing import Optional
from seqaseq_trainer import arg_to_scheduler
from transformers import TrainingArguments
lowerCAmelCase__ = logging.getLogger(__name__)
@dataclass
class SCREAMING_SNAKE_CASE__ ... | 681 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/ermongroup/ddim
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax
import jax.numpy as jnp
from ..configuration_utils import ConfigMixin, register_to_config
from .sche... | 681 | 1 |
"""simple docstring"""
from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeat... | 681 |
"""simple docstring"""
import argparse
import OmegaConf
import torch
from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel
def a__ ( SCREAMING_SNAKE_CASE : int , SCREAMING_SNAKE_CASE : Tuple , SCREAMING_SNAKE_CASE : Optional[int] ... | 681 | 1 |
"""simple docstring"""
from __future__ import annotations
import string
from itertools import cycle, product
from pathlib import Path
lowerCAmelCase__ = (
string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowerCAmelCase__ = [ord(letter) for letter ... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0_0 ):
'''simple docstring'''
return sum(e for e in range(3 , SCREAMING_SNAKE_CASE ) if e % 3 == 0 or e % 5 == 0 )
if __name__ == "__main__":
print(F"{solution() = }")
| 681 | 1 |
"""simple docstring"""
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def a__ ( SCREAMING_SNAKE_CASE : List[Any] ... | 681 |
"""simple docstring"""
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
... | 681 | 1 |
"""simple docstring"""
import importlib
import inspect
import os
import re
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
lowerCAmelCase__ = '''src/transformers'''
# This is to make sure the t... | 681 |
"""simple docstring"""
from math import factorial
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0_0 ):
'''simple docstring'''
return sum(int(SCREAMING_SNAKE_CASE ) for x in str(factorial(SCREAMING_SNAKE_CASE ) ) )
if __name__ == "__main__":
p... | 681 | 1 |
"""simple docstring"""
import math
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
return math.sqrt(SCREAMING_SNAKE_CASE ) * math.sqrt(SCREAMING_SNAKE_CASE ) == num
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''... | 681 |
"""simple docstring"""
from typing import Any
class SCREAMING_SNAKE_CASE__ :
"""simple docstring"""
def __init__( self , snake_case__ ):
"""simple docstring"""
lowerCAmelCase : Dict = data
lowerCAmelCase : Any = None
... | 681 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional
from packaging import version
if TYPE_CHECKING:
from ... import PreTrainedTokenizer, TensorType
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigW... | 681 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase__ = {
'''configuration_efficientformer''': [
'''EFFICIENTFORMER... | 681 | 1 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import convert_to_rgb, normalize, rescale, resize, to_channel_dimension_format
from ...image_utils import (
... | 681 |
"""simple docstring"""
import argparse
import csv
import logging
import os
import random
import numpy as np
import torch
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from tqdm import tqdm, trange
from transformers import (
CONFIG_NAME,
WEIGHTS_NAME,
Ad... | 681 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DiffusionPipeline,
EulerDiscreteScheduler,
StableDiffusionX... | 681 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'''huggingface/informer-tourism-monthly''': (
'''https... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : List[str] ):
'''simple docstring'''
lowerCAmelCase : Optional[int] = len(SCREAMING_SNAKE_CASE )
while cur > 1:
# Find the maximum number in arr
lowerCAmelCase : List[str] = arr... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if num < 0:
return False
lowerCAmelCase : int = num
lowerCAmelCase : int = 0
while num > 0:
lowerCAmelCase : Dict = rev_num * 1_0 + (num ... | 681 | 1 |
"""simple docstring"""
from collections import defaultdict
from pathlib import Path
import pandas as pd
from rouge_cli import calculate_rouge_path
from utils import calculate_rouge
lowerCAmelCase__ = [
'''Prosecutor: "No videos were used in the crash investigation" German papers say they ... | 681 |
"""simple docstring"""
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase__ = 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_copies # noq... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
if number < 0:
raise ValueError("number must not be negative" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()... | 681 |
"""simple docstring"""
import re
from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P
# Sentinels
lowerCAmelCase__ = object()
# For specifying empty leaf dict `{}`
lowerCAmelCase__ = o... | 681 | 1 |
"""simple docstring"""
import cmath
import math
def a__ ( SCREAMING_SNAKE_CASE : float , SCREAMING_SNAKE_CASE : float , SCREAMING_SNAKE_CASE : float , SCREAMING_SNAKE_CASE : float ):
'''simple docstring'''
lowerCAmelCase... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : int = 1_0 , SCREAMING_SNAKE_CASE : int = 2_2 ):
'''simple docstring'''
lowerCAmelCase : Dict = range(1 , SCREAMING_SNAKE_CASE )
lowerCAmelCase : List[str] = ran... | 681 | 1 |
"""simple docstring"""
import re
import string
from collections import Counter
import sacrebleu
import sacremoses
from packaging import version
import datasets
lowerCAmelCase__ = '''
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translation for Text Simpl... | 681 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : List[str] ):
'''simple docstring'''
lowerCAmelCase : Optional[int] = len(SCREAMING_SNAKE_CASE )
while cur > 1:
# Find the maximum number in arr
lowerCAmelCase : List[str] = arr... | 681 | 1 |
"""simple docstring"""
import os
import tempfile
import unittest
from pathlib import Path
from transformers import AutoConfig, is_tf_available
from transformers.testing_utils import require_tf
if is_tf_available():
import tensorflow as tf
from transformers import TensorFlowBenchmark, TensorFlowB... | 681 |
"""simple docstring"""
from ..utils import is_flax_available, is_torch_available
if is_torch_available():
from .autoencoder_kl import AutoencoderKL
from .controlnet import ControlNetModel
from .dual_transformer_ad import DualTransformeraDModel
from .modeling_utils import ModelMixin
... | 681 | 1 |
"""simple docstring"""
def a__ ( SCREAMING_SNAKE_CASE : List[str] ):
'''simple docstring'''
lowerCAmelCase : Union[str, Any] = [0] * len(SCREAMING_SNAKE_CASE )
lowerCAmelCase : Any = []
lowerCAmelCase : Tuple = [1] * len(SCREAMI... | 681 |
"""simple docstring"""
import math
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''simple docstring'''
return math.sqrt(SCREAMING_SNAKE_CASE ) * math.sqrt(SCREAMING_SNAKE_CASE ) == num
def a__ ( SCREAMING_SNAKE_CASE : int ):
'''... | 681 | 1 |
"""simple docstring"""
from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
MaskedBertForMultipleChoice,
MaskedBertForQuestionAnswering,
MaskedBertForSequenceClassification,
MaskedBertForTokenClassification,
MaskedBertModel,
)
from .modules import *
... | 681 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__... | 681 | 1 |
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