code stringlengths 86 54.5k | code_codestyle int64 0 371 | style_context stringlengths 87 49.2k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
import json
import logging
import os
import re
import sys
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Union
import datasets
import numpy as np
import torch
import torchaudio
from packaging import version
from torch import nn
import transformers
fro... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
import warnings
from typing import List, Optional, Union
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class lowerCamelCase_( A... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 0 |
"""simple docstring"""
from pathlib import Path
import json
import tempfile
from transformers import FSMTTokenizer, FSMTConfig, FSMTForConditionalGeneration
from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES
__SCREAMING_SNAKE_CASE : Optional[Any] = '''tiny-wmt19-en-ru'''
# ... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""simple docstring"""
from collections import defaultdict
from math import gcd
def lowerCAmelCase_( lowercase_ : int = 1_50_00_00 ) -> Dict:
_lowerCamelCase = defaultdict(lowercase_ )
_lowerCamelCase = 2
while 2 * euclid_m * (euclid_m + 1) <= limit:
... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
import numpy as np
from scipy.spatial.distance import cdist
from sklearn.metrics import fa_score
import datasets
__SCREAMING_SNAKE_CASE : Tuple = "\\n @inproceedings{kakwani2020indicnlpsuite,\n title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchm... | 350 |
"""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,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 73 | 0 |
"""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,
re... | 351 |
"""simple docstring"""
import qiskit
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> qiskit.result.counts.Counts:
_lowerCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Create a Quantum Circuit acting on the q register
... | 73 | 0 |
"""simple docstring"""
from collections.abc import Callable
def lowerCAmelCase_( lowercase_ , lowercase_ , lowercase_ ) -> Optional[Any]:
_lowerCamelCase = a
_lowerCamelCase = b
if function(UpperCamelCase__ ) == 0: # one of the a or b is a root for the fu... | 352 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'configuration_lxmert': ['LXMERT_PRETRAINED_C... | 353 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abej... | 73 | 0 |
"""simple docstring"""
import os
from collections import deque
import torch
from torch.utils.data import Dataset
class lowerCamelCase_( lowerCamelCase__ ):
'''simple docstring'''
def __init__( self , lowerCamelCase__="" , lowerCamelCase__="train" ):
ass... | 354 |
"""simple docstring"""
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__SCREAMING... | 73 | 0 |
"""simple docstring"""
import os
import unittest
from huggingface_hub.utils import are_progress_bars_disabled
import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import dis... | 355 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 73 | 0 |
"""simple docstring"""
from typing import List, Optional, Tuple, Union
import torch
from ...utils import logging, randn_tensor
from ..pipeline_utils import AudioPipelineOutput, DiffusionPipeline
__SCREAMING_SNAKE_CASE : Any = logging.get_logger(__name__) # pylint: disable=invalid-name
class ... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_blenderbot... | 73 | 0 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCamelCase... | 357 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Dict = {
'''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-s... | 73 | 0 |
import unittest
from transformers import BigBirdConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
import jax
from transformers.models.big_bird.modelin... | 358 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,
ViTModel,
)
from t... | 73 | 0 |
"""simple docstring"""
import argparse
import fairseq
import torch
from transformers import UniSpeechSatConfig, UniSpeechSatForCTC, UniSpeechSatForPreTraining, logging
logging.set_verbosity_info()
__SCREAMING_SNAKE_CASE : Dict = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any ... | 359 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 73 | 0 |
"""simple docstring"""
import argparse
from pathlib import Path
import torch
from packaging import version
from torch.onnx import export
from diffusers import AutoencoderKL
__SCREAMING_SNAKE_CASE : int = version.parse(version.parse(torch.__version__).base_version) < version.parse('''1.11''')
... | 360 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int ) -> Tuple:
# Checks if the entire collection has been sorted
if len(lowercase_ ) <= 1 or n <= 1:
return
insert_next(lowercas... | 73 | 0 |
"""simple docstring"""
import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError
from transformers import (
AlbertToke... | 361 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Optional[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https... | 73 | 0 |
"""simple docstring"""
from __future__ import annotations
import copy
import tempfile
import unittest
from transformers import CONFIG_MAPPING, AutoConfig, BertConfig, GPTaConfig, TaConfig, TapasConfig, is_tf_available
from transformers.testing_utils import (
DUMMY_UNKNOWN_IDENTIFIER,
SMALL_MODEL_IDENTIFIE... | 362 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available(... | 73 | 0 |
"""simple docstring"""
from __future__ import annotations
import inspect
import unittest
from math import floor
import numpy as np
from transformers import CvtConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_... | 363 |
"""simple docstring"""
import argparse
from collections import defaultdict
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : str , lowercase_ : str ) -> Optional[int]:
_low... | 73 | 0 |
def lowerCAmelCase_( lowercase_ : int ) -> int:
if not isinstance(snake_case__ , snake_case__ ) or number < 0:
raise ValueError('''Input must be a non-negative integer''' )
_lowerCamelCase = 0
while number:
# This way we arrive at next... | 364 |
"""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 import is... | 73 | 0 |
"""simple docstring"""
import unittest
from transformers import MraConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_atten... | 365 |
"""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
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SC... | 73 | 0 |
"""simple docstring"""
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def lowerCAmelCase_( *lowercase_ : Tuple , lowercase_ : Tuple = None , lowercase_ : Tuple=True , lowercase_ : List[... | 366 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 73 | 0 |
"""simple docstring"""
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class lowerCamelCase_( _a ):
'''simple docstring'''
@staticmethod
@abstractmethod
def snake_case__ ( lowerCamelCase__ ):
raise NotImplementedError()
... | 367 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : bool = False ) -> list[fl... | 73 | 0 |
"""simple docstring"""
import argparse
import collections
import json
import os
import re
import string
import sys
import numpy as np
__SCREAMING_SNAKE_CASE = re.compile(R'''\b(a|an|the)\b''', re.UNICODE)
__SCREAMING_SNAKE_CASE = None
def lowerCAmelCase_( ) -> List[Any]:
... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowerCamelCase_( _lowerCAmelCase ):
'''simple docstring... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 0 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : Dict , lowercase_ : Union[str, Any] ) -> Optional[int]:
return base * power(__a , (exponent - 1) ) if exponent else 1
if __name__ == "__main__":
print('''Raise base to the power of exponent using... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable
try:
if not (is_transformers_available() and is_torch_available()):
raise OptionalDependencyNotAvailable()
except OptionalDepend... | 350 |
"""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,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 73 | 0 |
"""simple docstring"""
import json
import os
import unittest
from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class lowerCamelCase_( __lowercase, unittest.TestCase ):
'''simple docstrin... | 351 |
"""simple docstring"""
import qiskit
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> qiskit.result.counts.Counts:
_lowerCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Create a Quantum Circuit acting on the q register
... | 73 | 0 |
"""simple docstring"""
import argparse
import shutil
import time
from json import JSONDecodeError
from logging import getLogger
from pathlib import Path
from typing import Dict, List
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AutoModelForSeqaSeqLM, AutoToke... | 352 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 73 | 0 |
"""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,
AdamW,
... | 353 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abej... | 73 | 0 |
"""simple docstring"""
import unittest
from knapsack import greedy_knapsack as kp
class lowerCamelCase_( unittest.TestCase ):
'''simple docstring'''
def snake_case__ ( self ):
_lowerCamelCase = [1_0, 2_0, 3_0, 4_0, 5_0, 6_0]
_lowerCamelCase ... | 354 |
"""simple docstring"""
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__SCREAMING... | 73 | 0 |
"""simple docstring"""
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class lowerCamelCase_( lowerCamelCase__ ):
'''simple docstring'''
lowercase__ : int = (DDPMScheduler,)
def snake_case__ ( self , ... | 355 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 73 | 0 |
"""simple docstring"""
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : List[str] = {
"microsoft/unispeech-sat-base-100h-l... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_blenderbot... | 73 | 0 |
"""simple docstring"""
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = 0
_lowerCamelCase = 0
_lowerCamelCase = {}
def snake_case__ ( self , lowerCamelCase__ ):
if vertex no... | 357 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Dict = {
'''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-s... | 73 | 0 |
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
__SCREAMING_SNAKE_CASE : Dict = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[Any... | 358 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,
ViTModel,
)
from t... | 73 | 0 |
"""simple docstring"""
import copy
import inspect
import unittest
from transformers import PretrainedConfig, SwiftFormerConfig
from transformers.testing_utils import (
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is_torch_available, is_vision_... | 359 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 73 | 0 |
"""simple docstring"""
import numpy as np
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = (0, 0)
_lowerCamelCase = None
_lowerCamelCase = 0
_lowerCamelCase = 0
_lowerCame... | 360 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int ) -> Tuple:
# Checks if the entire collection has been sorted
if len(lowercase_ ) <= 1 or n <= 1:
return
insert_next(lowercas... | 73 | 0 |
"""simple docstring"""
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
import torch
from transformers import CLIPImageProcessor, CLIPVisionModel
from ...models import PriorTransformer
from ...pipelines import DiffusionPipeline
from ...schedulers import Heun... | 361 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Optional[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https... | 73 | 0 |
"""simple docstring"""
from __future__ import annotations
import numpy as np
def lowerCAmelCase_( lowercase_ : Union[str, Any] ) -> Any:
return np.maximum(0 , UpperCAmelCase__ )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0, 5]
| 362 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available(... | 73 | 0 |
"""simple docstring"""
import numpy as np
import torch
from torch.nn import CrossEntropyLoss
from transformers import AutoModelForCausalLM, AutoTokenizer
import datasets
from datasets import logging
__SCREAMING_SNAKE_CASE : Optional[int] = '''\
'''
__SCREAMING_SNAKE_CASE : Any ... | 363 |
"""simple docstring"""
import argparse
from collections import defaultdict
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : str , lowercase_ : str ) -> Optional[int]:
_low... | 73 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : List[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''facebook/s2t-small-librispeech-asr''': (
'''https://huggingface.co/faceboo... | 364 |
"""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 import is... | 73 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list[list[int]] ) -> bool:
_lowerCamelCase = len(lowerCAmelCase__ )
# We need to create solution object to save path.
_lowerCamelCase = [[0 for _ in range(lower... | 365 |
"""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
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SC... | 73 | 0 |
"""simple docstring"""
import argparse
import tensorflow as tf
import torch
from transformers import BertConfig, BertForMaskedLM
from transformers.models.bert.modeling_bert import (
BertIntermediate,
BertLayer,
BertOutput,
BertPooler,
BertSelfAttention,
BertSelfOutput,
)
from transformers.... | 366 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 73 | 0 |
"""simple docstring"""
import os
# Precomputes a list of the 100 first triangular numbers
__SCREAMING_SNAKE_CASE : Tuple = [int(0.5 * n * (n + 1)) for n in range(1, 1_0_1)]
def lowerCAmelCase_( ) -> Tuple:
_lowerCamelCase = os.path.dirname(os.path.realpath(snake_case_ ... | 367 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : bool = False ) -> list[fl... | 73 | 0 |
"""simple docstring"""
import math_equivalence # From: git+https://github.com/hendrycks/math.git
import datasets
__SCREAMING_SNAKE_CASE = '''\
@article{hendrycksmath2021,
title={Measuring Mathematical Problem Solving With the MATH Dataset},
author={Dan Hendrycks
and Collin Burns
and Saur... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
import functools
from typing import Any
def lowerCAmelCase_( lowercase_ : Optional[int] , lowercase_ : Any ) -> bool:
# Validation
if not isinstance(__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE ) or len(__SCREAMING_SNAKE_CA... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 0 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Union[str, Any] = 8.314_4598
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float ) -> int:
if temperature < 0:
raise Exception('''Temperature cannot be less than 0 K''' )
if ... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""simple docstring"""
import io
import itertools
import json
from dataclasses import dataclass
from typing import Optional
import pyarrow as pa
import pyarrow.json as paj
import datasets
from datasets.table import table_cast
from datasets.utils.file_utils import readline
__SCREAMING_SNAKE_CASE : Any ... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : Any , lowercase_ : int ) -> Dict:
_lowerCamelCase = 0
_lowerCamelCase = len(lowercase_ ) - 1
while left <= right:
# avoid divided by 0 during interpolation
... | 350 |
"""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,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 73 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class ... | 351 |
"""simple docstring"""
import qiskit
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> qiskit.result.counts.Counts:
_lowerCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Create a Quantum Circuit acting on the q register
... | 73 | 0 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
import torch.nn as nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, apply_forward_hook
from .modeling_utils import ModelMixin
from .vae import Decoder... | 352 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : float , lowercase_ : float , lowercase_ : float , ) -> float:
_lowerCamelCase = [redshift, radiation_density, matte... | 353 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abej... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 354 |
"""simple docstring"""
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__SCREAMING... | 73 | 0 |
"""simple docstring"""
import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock
import torch
from ..state import Accelerat... | 355 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 73 | 0 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_blenderbot... | 73 | 0 |
"""simple docstring"""
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__ , lowerCamelCase__ ):
_lowerCamelCase = name
_lowerCamelCase = val
def __str__( self ):
return F"""{self.__class__.__... | 357 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Dict = {
'''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-s... | 73 | 0 |
from bisect import bisect
from itertools import accumulate
def lowerCAmelCase_( lowercase_ : Tuple , lowercase_ : Any , lowercase_ : List[str] , lowercase_ : str ) -> Any:
_lowerCamelCase = sorted(zip(lowercase_ , lowerca... | 358 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,
ViTModel,
)
from t... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_availab... | 359 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 73 | 0 |
"""simple docstring"""
import argparse
from collections import OrderedDict
from pathlib import Path
import torch
from transformers import (
VisualBertConfig,
VisualBertForMultipleChoice,
VisualBertForPreTraining,
VisualBertForQuestionAnswering,
VisualBertForVisualReasoning,
)
from transformers... | 360 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int ) -> Tuple:
# Checks if the entire collection has been sorted
if len(lowercase_ ) <= 1 or n <= 1:
return
insert_next(lowercas... | 73 | 0 |
"""simple docstring"""
import numpy as np
import torch
import tqdm
from ...models.unet_ad import UNetaDModel
from ...pipelines import DiffusionPipeline
from ...utils import randn_tensor
from ...utils.dummy_pt_objects import DDPMScheduler
class lowerCamelCase_( A__ ):
'''simple docstring'... | 361 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Optional[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https... | 73 | 0 |
"""simple docstring"""
import re
import string
from collections import Counter
import sacrebleu
import sacremoses
from packaging import version
import datasets
__SCREAMING_SNAKE_CASE : str = '''
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translation for ... | 362 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available(... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 50 ) -> int:
_lowerCamelCase = [1] * (length + 1)
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for tile_start in range(row_length - tile_length +... | 363 |
"""simple docstring"""
import argparse
from collections import defaultdict
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : str , lowercase_ : str ) -> Optional[int]:
_low... | 73 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__SCREAMING_SNAKE_CASE : Tuple = {
'''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
'''t... | 364 |
"""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 import is... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : float , lowercase_ : list[float] ) -> float:
if discount_rate < 0:
raise ValueError('''Discount rate cannot be negative''' )
if not cash_flows:
raise ValueError('''Cash flows list cann... | 365 |
"""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
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SC... | 73 | 0 |
"""simple docstring"""
from manim import *
class lowerCamelCase_( A__ ):
'''simple docstring'''
def snake_case__ ( self ):
_lowerCamelCase = Rectangle(height=0.5 , width=0.5 )
_lowerCamelCase = Rectangle(height=0.4_6 , widt... | 366 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Any:
for i in range(0 , lowercase_ ):
for _ in range(0 , n - i - 1 ): # printing spaces
print(''' ''' , end='''''' )
for _ in range(0 , i + 1 ... | 367 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : bool = False ) -> list[fl... | 73 | 0 |
"""simple docstring"""
import os
import textwrap
import pyarrow as pa
import pytest
from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv
from ..utils import require_pil
@pytest.fixture
def lowerCAmelCase_( lowercase_ : Optional[Any] ) -> ... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
import unittest
from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from ...test_tokenization_common import TokenizerTesterMixin
A : List[Any] = get_tests... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 0 |
"""simple docstring"""
import importlib.util
import os
import platform
from argparse import ArgumentParser
import huggingface_hub
from .. import __version__ as version
from ..utils import (
is_accelerate_available,
is_flax_available,
is_safetensors_available,
is_tf_available,
is_torch_availabl... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""simple docstring"""
import collections
import os
from typing import List, Optional, Tuple
from transformers.utils import is_jieba_available, requires_backends
if is_jieba_available():
import jieba
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__SCREAMING_SNAKE_CASE ... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
import os # noqa: this is just for tests
import os as renamed_os # noqa: this is just for tests
from os import path # noqa: this is just for tests
from os import path as renamed_path # noqa: this is just for tests
from os.path import join # noqa: this is just for tests
from os.... | 350 |
"""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,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 73 | 0 |
"""simple docstring"""
from scipy.stats import spearmanr
import datasets
__SCREAMING_SNAKE_CASE : List[str] = '''
The Spearman rank-order correlation coefficient is a measure of the
relationship between two datasets. Like other correlation coefficients,
this one varies between -1 and +1 with 0 i... | 351 |
"""simple docstring"""
import qiskit
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> qiskit.result.counts.Counts:
_lowerCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Create a Quantum Circuit acting on the q register
... | 73 | 0 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 352 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 73 | 0 |
"""simple docstring"""
import copy
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
from ..auto import CONFIG_MAPPING
__SCREAMING_SNAKE_CASE : Optional... | 353 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abej... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> int:
while b:
_lowerCamelCase , _lowerCamelCase = b, a % b
return a
def lowerCAmelCase_( lowercase_ : int , lowercase_ : ... | 354 |
"""simple docstring"""
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__SCREAMING... | 73 | 0 |
"""simple docstring"""
import csv
import tweepy
# Twitter API credentials
__SCREAMING_SNAKE_CASE : int = ''''''
__SCREAMING_SNAKE_CASE : Any = ''''''
__SCREAMING_SNAKE_CASE : Union[str, Any] = ''''''
__SCREAMING_SNAKE_CASE : str = ''''''
def ... | 355 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 73 | 0 |
"""simple docstring"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_blenderbot... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : float , lowercase_ : int ) -> float:
if digit_amount > 0:
return round(number - int(lowercase_ ) , lowercase_ )
return number - int(lowercase_ )
if __name__ == "__main__":
print(d... | 357 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Dict = {
'''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-s... | 73 | 0 |
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
from sagemaker.huggingface i... | 358 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,
ViTModel,
)
from t... | 73 | 0 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
'''Pillow''': '''Pillow<10.0.0''',
'''accelerate''': '''accelerate>=0.20.3''',
'''av''': '''av==9.2.0''',
'''beautifulsoup4''': '''beautifulsoup4''',
'''black''': '''black~=23.1''',
'''codecarbon''': '''code... | 359 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 73 | 0 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from itertools import chain
from typing import Optional, Union
import datasets
import numpy as np
import torch
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
Au... | 360 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int ) -> Tuple:
# Checks if the entire collection has been sorted
if len(lowercase_ ) <= 1 or n <= 1:
return
insert_next(lowercas... | 73 | 0 |
"""simple docstring"""
from manim import *
class lowerCamelCase_( A__ ):
'''simple docstring'''
def snake_case__ ( self ):
_lowerCamelCase = Rectangle(height=0.5 , width=0.5 )
_lowerCamelCase = Rectangle(height=0.2_5 , widt... | 361 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Optional[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https... | 73 | 0 |
"""simple docstring"""
import argparse
import json
from typing import List
from ltp import LTP
from transformers import BertTokenizer
def lowerCAmelCase_( lowercase_ : Union[str, Any] ) -> int:
# This defines a "chinese character" as anything in the CJK Unicode block:
# h... | 362 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available(... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
__SCREAMING_SNAKE_CASE : Optional[Any] = {
'''configuration_xlm''': ['''XLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XLMConfig''', '''XLMO... | 363 |
"""simple docstring"""
import argparse
from collections import defaultdict
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : str , lowercase_ : str ) -> Optional[int]:
_low... | 73 | 0 |
def lowerCAmelCase_( lowercase_ : int ) -> int:
_lowerCamelCase = [1]
_lowerCamelCase , _lowerCamelCase , _lowerCamelCase = 0, 0, 0
_lowerCamelCase = ugly_nums[ia] * 2
_lowerCamelCase = ugly_nums[ia] * 3
_lowerCamelCas... | 364 |
"""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 import is... | 73 | 0 |
"""simple docstring"""
from math import isqrt
def lowerCAmelCase_( lowercase_ : int ) -> bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowercase_ ) + 1 ) )
def lowerCAmelCase_( lowercase_ : int = 10**6 ) -... | 365 |
"""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
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SC... | 73 | 0 |
"""simple docstring"""
from queue import Queue
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from ..models.auto import AutoTokenizer
class lowerCamelCase_:
'''simple docstring'''
def snake_case__ ( self , lowerCamelCase__ ):
raise NotImpleme... | 366 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Union[str, Any]:
_lowerCamelCase = [False] * len(lowercase_ )
_lowerCamelCase = [-1] * len(lowercase_ )
def dfs(lowercase_ : List[Any] , lowercase_ : ... | 367 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : bool = False ) -> list[fl... | 73 | 0 |
"""simple docstring"""
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_... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
import argparse
import json
import numpy
import torch
from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging
logging.set_verbosity_info()
def lowerCAmelCase_( lowercase_ : str , low... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 0 |
"""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():
from .toke... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : List[str] = [sum(int(c, 1_0) ** 2 for c in i.__str__()) for i in range(1_0_0_0_0_0)]
def lowerCAmelCase_( lowercase_ : int ) -> int:
_lowerCamelCase = 0
while number:
# Increased Speed Slightly by... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {'''configuratio... | 350 |
"""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,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 73 | 0 |
"""simple docstring"""
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu_available
from .tra... | 351 |
"""simple docstring"""
import qiskit
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> qiskit.result.counts.Counts:
_lowerCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Create a Quantum Circuit acting on the q register
... | 73 | 0 |
"""simple docstring"""
import argparse
import torch
from torch import nn
from transformers import MaMaaaConfig, MaMaaaForConditionalGeneration
def lowerCAmelCase_( lowercase_ ) -> List[str]:
_lowerCamelCase = [
'''encoder.version''',
'''decoder.version''',
''... | 352 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str ) -> str:
if not all(char in '''01''' for char in bin_string ):
raise ValueError('''Non-binary value was passed to the function''' )
if not bin_string:
raise ValueError('''Empty string was p... | 353 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abej... | 73 | 0 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from torch import nn
from transformers import (
SpeechaTextaConfig,
SpeechaTextaForCausalLM,
SpeechaTextaTokenizer,
SpeechEncoderDecoderConfig,
SpeechEncoderDecoderModel,
WavaVecaConfig,
WavaVecaFe... | 354 |
"""simple docstring"""
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__SCREAMING... | 73 | 0 |
"""simple docstring"""
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def lowerCAmelCase_( *lowercase_ : List[Any] , lowercase_ : Optional[Union[Dict, Any]] = None , lowercase_ : Tuple=True , lower... | 355 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 73 | 0 |
"""simple docstring"""
import argparse
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_controlnet_from_original_ckpt
if __name__ == "__main__":
__SCREAMING_SNAKE_CASE : Dict = argparse.ArgumentParser()
parser.add_argument(
'''--checkpoint_path''', defaul... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_blenderbot... | 73 | 0 |
"""simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
if TYPE_CHECKING... | 357 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Dict = {
'''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-s... | 73 | 0 |
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