code stringlengths 82 54.1k | code_codestyle int64 0 699 | style_context stringlengths 111 35.6k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor
__SCREAMING_SNAKE_CASE : Optional[int] = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self ... | 661 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze,
transpose,
... | 661 | 1 |
"""simple docstring"""
import warnings
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Any = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Tuple = {
'''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/... | 661 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational i... | 661 | 1 |
"""simple docstring"""
import argparse
from transformers import BigBirdConfig, BigBirdForPreTraining, BigBirdForQuestionAnswering, load_tf_weights_in_big_bird
from transformers.utils import logging
logging.set_verbosity_info()
def lowerCAmelCase_( lowercase_ : Union[str, Any] , lowercase_ : ... | 661 |
"""simple docstring"""
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_prop... | 661 | 1 |
"""simple docstring"""
import warnings
from pathlib import Path
from typing import List, Tuple, Union
import fire
from torch import nn
from transformers import AutoModelForSeqaSeqLM, AutoTokenizer, PreTrainedModel
from transformers.utils import logging
__SCREAMING_SNAKE_CASE : Tuple = logging.get_l... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 10 ) -> str:
if not isinstance(lowercase_ , lowercase_ ) or n < 0:
raise ValueError('''Invalid input''' )
_lowerCamelCase = 10**n
_lowerCamelCase = 2_84_33 * (pow(2 , 7_83_04_57 ,... | 661 | 1 |
"""simple docstring"""
import random
import unittest
import torch
from diffusers import IFImgaImgSuperResolutionPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device
from ..pipeline_params... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''configuration_informer''': [
'''INFORMER_PRETRAINED_CONFIG_ARCHI... | 661 | 1 |
"""simple docstring"""
import functools
from typing import Any
def lowerCAmelCase_( lowercase_ : str , lowercase_ : list[str] ) -> bool:
# Validation
if not isinstance(lowercase_ , lowercase_ ) or len(lowercase_ ) == 0:
raise ValueError('''the string shou... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str , lowercase_ : str ) -> float:
def get_matched_characters(lowercase_ : str , lowercase_ : str ) -> str:
_lowerCamelCase = []
_lowerCamelCase = min(len(_stra ) , len(_st... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except OptionalDependency... | 661 |
"""simple docstring"""
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
... | 661 | 1 |
"""simple docstring"""
import sacrebleu as scb
from packaging import version
from sacrebleu import TER
import datasets
__SCREAMING_SNAKE_CASE : List[str] = '''\
@inproceedings{snover-etal-2006-study,
title = "A Study of Translation Edit Rate with Targeted Human Annotation",
author = "Snover,... | 661 |
"""simple docstring"""
import re
import string
from collections import Counter
import sacrebleu
import sacremoses
from packaging import version
import datasets
__SCREAMING_SNAKE_CASE : Optional[int] = '''
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translatio... | 661 | 1 |
"""simple docstring"""
import unittest
from transformers import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING, is_vision_available, pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
require_tf,
require_torch,
require_vision,
slow,
)
from .test_pipelines_co... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
'''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRE... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_clap''': [
'''CLAP_PRETRAINED_MODEL_ARCHIVE_LIST''',
'''ClapAudioConfig''',
... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Any = {
'''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
'''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( ) -> list[list[int]]:
return [list(range(10_00 - i , -10_00 - i , -1 ) ) for i in range(10_00 )]
__SCREAMING_SNAKE_CASE : Union[str, Any] = generate_large_matrix()
__SCREAMING_SNAKE_CASE : Union[str, Any] = ... | 661 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from fastap... | 661 | 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_seed
fr... | 661 |
"""simple docstring"""
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def lo... | 661 | 1 |
"""simple docstring"""
import unittest
from pathlib import Path
from shutil import copyfile
from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILE... | 661 |
"""simple docstring"""
import inspect
import unittest
from transformers import BitConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_backbone_common import BackboneTest... | 661 | 1 |
"""simple docstring"""
import inspect
import unittest
from transformers import BitConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_backbone_common import BackboneTest... | 661 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_torchaudio_availa... | 661 | 1 |
"""simple docstring"""
from string import ascii_uppercase
__SCREAMING_SNAKE_CASE : List[str] = {char: i for i, char in enumerate(ascii_uppercase)}
__SCREAMING_SNAKE_CASE : Optional[Any] = dict(enumerate(ascii_uppercase))
def lowerCAmelCase_( lowercase_ : str , lowercase_ ... | 661 |
"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory
from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
convert,
ensure_valid_input,
generate_identified... | 661 | 1 |
"""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 : Optional[int] = logging.get_logger(__name__)
... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Optional[Any] = {str(digit): digit**5 for digit in range(1_0)}
def lowerCAmelCase_( lowercase_ : int ) -> int:
return sum(DIGITS_FIFTH_POWER[digit] for digit in str(lowercase_ ) )
def lowerCAmelCase_( ) ... | 661 | 1 |
"""simple docstring"""
import argparse
import json
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from typing import List
import timm
import torch
import torch.nn as nn
from huggingface_hub import hf_hub_download
from torch import Tensor
from transformers import Au... | 661 |
"""simple docstring"""
from __future__ import annotations
import os
from collections.abc import Mapping
__SCREAMING_SNAKE_CASE : str = tuple[int, int]
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__ , lowerCamelCase__... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int ) -> bool:
if p < 2:
raise ValueError('''p should not be less than 2!''' )
elif p == 2:
return True
_lowerCamelCase = 4
_lowerCamelCase = (1 << p) - 1
for _ in range(p - 2 ... | 661 |
"""simple docstring"""
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCAmelCase_( lowercase_ : int = 2_00_00_00 ) -> int:
_lowerCamelCase = [0]
_lowerCamelCase = 42
for idx in range(1 , ceil(sqrt(target * 2 ) * 1.1 ) ... | 661 | 1 |
"""simple docstring"""
import heapq
def lowerCAmelCase_( lowercase_ : dict ) -> set[int]:
_lowerCamelCase = []
# for each node and his adjacency list add them and the rank of the node to queue
# using heapq module the queue will be filled like a Priority Queue
# h... | 661 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
__SCREAMING_SNAKE_CASE : List[Any] = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self , ... | 661 | 1 |
"""simple docstring"""
import os
import torch
from ..logging import get_logger
from .constants import FSDP_PYTORCH_VERSION, MODEL_NAME, OPTIMIZER_NAME
from .versions import is_torch_version
if is_torch_version('''>=''', FSDP_PYTORCH_VERSION):
import torch.distributed.checkpoint as dist_cp
from torch.distr... | 661 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer
__SCREAMING_SNAKE_CASE : int = logging.... | 661 | 1 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Tuple = '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''
def lowerCAmelCase_( ) -> None:
_lowerCamelCase = input('''Enter message: ''' )
_lowerCamelCase = input('''Enter key [alphanumeric]: ''' )
_lowerCamelCase = ... | 661 |
"""simple docstring"""
from math import sqrt
import numpy as np
from sympy import symbols
# Coefficient
# Speed of light (m/s)
__SCREAMING_SNAKE_CASE : str = 2_9_9_7_9_2_4_5_8
# Symbols
__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_... | 661 | 1 |
"""simple docstring"""
import multiprocessing
from typing import TYPE_CHECKING, Optional, Union
from .. import Dataset, Features, config
from ..formatting import query_table
from ..packaged_modules.sql.sql import Sql
from ..utils import logging
from .abc import AbstractDatasetInputStream
if TYPE_CHECKING:
imp... | 661 |
"""simple docstring"""
from __future__ import annotations
__SCREAMING_SNAKE_CASE : Dict = 1.6_0_2_1e-1_9 # units = C
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : float , ) -> tuple[str, float]:
if (conductivity, electron_con... | 661 | 1 |
"""simple docstring"""
from math import factorial, radians
def lowerCAmelCase_( lowercase_ : float , lowercase_ : int = 18 , lowercase_ : int = 10 ) -> float:
_lowerCamelCase = angle_in_degrees - ((angle_in_degrees // 3_6_0.0) * 3_6_0.0)
# Converting from de... | 661 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze,
transpose,
... | 661 | 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, prepare_image_inputs
if is_torch_avai... | 661 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational i... | 661 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowerCamelCase_( metaclass=A__ ):
'''simple docstring'''
lowercase__ : Optional[Any] = ['keras_nlp']
def __init__( self , *lowerCamelCase__ , **lowerCamelCas... | 661 |
"""simple docstring"""
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_prop... | 661 | 1 |
"""simple docstring"""
import torch
from diffusers import DiffusionPipeline
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self , lowerCamelCase__ , lowerCamelCase__ ):
super().__init__()
self.register_modules(unet=lowerCame... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 10 ) -> str:
if not isinstance(lowercase_ , lowercase_ ) or n < 0:
raise ValueError('''Invalid input''' )
_lowerCamelCase = 10**n
_lowerCamelCase = 2_84_33 * (pow(2 , 7_83_04_57 ,... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int ) -> int:
if not isinstance(lowercase_ , lowercase_ ) or number < 0:
raise ValueError('''Input must be a non-negative integer''' )
_lowerCamelCase = 0
while number:
# This way we arrive... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''configuration_informer''': [
'''INFORMER_PRETRAINED_CONFIG_ARCHI... | 661 | 1 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Any = {
'''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
'''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str , lowercase_ : str ) -> float:
def get_matched_characters(lowercase_ : str , lowercase_ : str ) -> str:
_lowerCamelCase = []
_lowerCamelCase = min(len(_stra ) , len(_st... | 661 | 1 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
__SCREAMING_SNAKE_CASE : List[Any] = {'''vocab_file''': '''vocab.txt''', '... | 661 |
"""simple docstring"""
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
... | 661 | 1 |
"""simple docstring"""
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def lowerCAmelCase_( *lowercase_ : Optional[int] , lowercase_ : Optional[Union[Dict, Any]] = None , lowercase_ : int=True , lowercase_ : Tuple=2 ) ... | 661 |
"""simple docstring"""
import re
import string
from collections import Counter
import sacrebleu
import sacremoses
from packaging import version
import datasets
__SCREAMING_SNAKE_CASE : Optional[int] = '''
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translatio... | 661 | 1 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
logging.set... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
'''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRE... | 661 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Any, Generic, TypeVar
__SCREAMING_SNAKE_CASE : Optional[Any] = TypeVar('''T''')
class lowerCamelCase_( Generic[T] ):
'''simple docstring'''
def __init__( s... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Any = {
'''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
'''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''... | 661 | 1 |
"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.testing_utils import require... | 661 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from fastap... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str ) -> Any:
_lowerCamelCase = []
_lowerCamelCase = []
_lowerCamelCase = {
'''^''': 3,
'''*''': 2,
'''/''': 2,
'''%''': 2,
'''+''': 1,
'''-''': 1,
}... | 661 |
"""simple docstring"""
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def lo... | 661 | 1 |
"""simple docstring"""
import mpmath # for roots of unity
import numpy as np
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__=None , lowerCamelCase__=None ):
# Input as list
_lowerCamelCase = list(poly_a or ... | 661 |
"""simple docstring"""
import inspect
import unittest
from transformers import BitConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_backbone_common import BackboneTest... | 661 | 1 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bert import BertTokenizer
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.... | 661 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_torchaudio_availa... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {}
try:
if not is_sentencepiece_availabl... | 661 |
"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory
from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
convert,
ensure_valid_input,
generate_identified... | 661 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
__SCREAMING_SNAKE_CASE : Optional[Any] = list[list[float | int]]
def lowerCAmelCase_( lowercase_ : Matrix , lowercase_ : Matrix ) -> Matrix:
_lowerCamelCase = l... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Optional[Any] = {str(digit): digit**5 for digit in range(1_0)}
def lowerCAmelCase_( lowercase_ : int ) -> int:
return sum(DIGITS_FIFTH_POWER[digit] for digit in str(lowercase_ ) )
def lowerCAmelCase_( ) ... | 661 | 1 |
"""simple docstring"""
import argparse
import collections
import torch
from flax import traverse_util
from tax import checkpoints
from transformers import TaConfig, TaEncoderModel, TaForConditionalGeneration
from transformers.utils import logging
logging.set_verbosity_info()
def lowerCAmelCase_( lower... | 661 |
"""simple docstring"""
from __future__ import annotations
import os
from collections.abc import Mapping
__SCREAMING_SNAKE_CASE : str = tuple[int, int]
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__ , lowerCamelCase__... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int , lowercase_ : list ) -> Optional[Any]:
_enforce_args(lowercase_ , lowercase_ )
if n == 0:
return 0
_lowerCamelCase = float('''-inf''' )
for i in range(1 , n + 1 ):
_low... | 661 |
"""simple docstring"""
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCAmelCase_( lowercase_ : int = 2_00_00_00 ) -> int:
_lowerCamelCase = [0]
_lowerCamelCase = 42
for idx in range(1 , ceil(sqrt(target * 2 ) * 1.1 ) ... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Optional[Any] ) -> List[str]:
_lowerCamelCase = 0
_lowerCamelCase = len(lowercase_ ) - 1
while left <= right:
# avoid divided by 0 during interpolation
if sorted_... | 661 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
__SCREAMING_SNAKE_CASE : List[Any] = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self , ... | 661 | 1 |
"""simple docstring"""
from unittest.mock import patch
import pyspark
from datasets.packaged_modules.spark.spark import (
Spark,
SparkExamplesIterable,
_generate_iterable_examples,
)
from ..utils import (
require_dill_gt_0_3_2,
require_not_windows,
)
def lowerCAmelCase_( lowercase_ ... | 661 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer
__SCREAMING_SNAKE_CASE : int = logging.... | 661 | 1 |
"""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 : str = logging.get_logger(__name__)
__SCREAMIN... | 661 |
"""simple docstring"""
from math import sqrt
import numpy as np
from sympy import symbols
# Coefficient
# Speed of light (m/s)
__SCREAMING_SNAKE_CASE : str = 2_9_9_7_9_2_4_5_8
# Symbols
__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int ) -> None:
_lowerCamelCase = generate_pascal_triangle(lowercase_ )
for row_idx in range(lowercase_ ):
# Print left spaces
for _ in range(num_rows - row_idx - 1 ):
print(end=''' '... | 661 |
"""simple docstring"""
from __future__ import annotations
__SCREAMING_SNAKE_CASE : Dict = 1.6_0_2_1e-1_9 # units = C
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : float , ) -> tuple[str, float]:
if (conductivity, electron_con... | 661 | 1 |
"""simple docstring"""
import collections
import json
import math
import os
import re
import time
from fnmatch import fnmatch
from typing import Dict
import requests
from slack_sdk import WebClient
__SCREAMING_SNAKE_CASE : List[Any] = WebClient(token=os.environ['''CI_SLACK_BOT_TOKEN'''])
def ... | 661 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze,
transpose,
... | 661 | 1 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class lowerCamelCase_:
'''simple docstring'''
lowercase__ : ... | 661 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational i... | 661 | 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
#
# U... | 661 |
"""simple docstring"""
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_prop... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str , lowercase_ : str ) -> float:
def get_matched_characters(lowercase_ : str , lowercase_ : str ) -> str:
_lowerCamelCase = []
_lowerCamelCase = min(len(_stra ) , len(_st... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 10 ) -> str:
if not isinstance(lowercase_ , lowercase_ ) or n < 0:
raise ValueError('''Invalid input''' )
_lowerCamelCase = 10**n
_lowerCamelCase = 2_84_33 * (pow(2 , 7_83_04_57 ,... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
'''configuration_mctct''': ['''MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MCTCTConfig'''],
'''feature_ext... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''configuration_informer''': [
'''INFORMER_PRETRAINED_CONFIG_ARCHI... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Optional[Any] ... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str , lowercase_ : str ) -> float:
def get_matched_characters(lowercase_ : str , lowercase_ : str ) -> str:
_lowerCamelCase = []
_lowerCamelCase = min(len(_stra ) , len(_st... | 661 | 1 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
__SCREAMING_SNAKE_CASE : List[Any] = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self , ... | 661 |
"""simple docstring"""
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float ) -> float:
if mass < 0:
raise ValueError('''The mass of a body cannot be negative''' )
return 0.5 * mass * abs(lowercase_ ) * abs(lowercase_ )
if __name__ == "__main__":
... | 661 |
"""simple docstring"""
import re
import string
from collections import Counter
import sacrebleu
import sacremoses
from packaging import version
import datasets
__SCREAMING_SNAKE_CASE : Optional[int] = '''
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translatio... | 661 | 1 |
"""simple docstring"""
import random
class lowerCamelCase_:
'''simple docstring'''
@staticmethod
def snake_case__ ( lowerCamelCase__ ):
_lowerCamelCase = [ord(lowerCamelCase__ ) for i in text]
_lowerCamelCase = []
_lowerCamelCase =... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
'''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRE... | 661 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class lowerCamelCase_( metaclass=A__ ):
'''simple docstring'''
lowercase__ : Tuple = ['torch', 'transformers', 'onnx']
def __init__( self , *lowerCamelCase__ , **l... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Any = {
'''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
'''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''... | 661 | 1 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational i... | 661 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from fastap... | 661 | 1 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_beit import BeitImageProcessor
__SCREAMING_SNAKE_CASE : Dict = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self , *... | 661 |
"""simple docstring"""
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def lo... | 661 | 1 |
"""simple docstring"""
import random
def lowerCAmelCase_( lowercase_ : int , lowercase_ : float , lowercase_ : bool = False ) -> dict:
_lowerCamelCase = {i: [] for i in range(lowercase_ )}
# if probability is greater or equal than 1, then generate a compl... | 661 |
"""simple docstring"""
import inspect
import unittest
from transformers import BitConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_backbone_common import BackboneTest... | 661 | 1 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_flax_available, is_torch_availab... | 661 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_torchaudio_availa... | 661 | 1 |
"""simple docstring"""
import unittest
import numpy as np
import torch
from diffusers import DDIMPipeline, DDIMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, slow, torch_device
from ..pipeline_params import UNCONDITIONAL_IMAGE_GENERATION_BATCH_PARAMS,... | 661 |
"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory
from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
convert,
ensure_valid_input,
generate_identified... | 661 | 1 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor
__SCREAMING_SNAKE_CASE : List[Any] = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( sel... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Optional[Any] = {str(digit): digit**5 for digit in range(1_0)}
def lowerCAmelCase_( lowercase_ : int ) -> int:
return sum(DIGITS_FIFTH_POWER[digit] for digit in str(lowercase_ ) )
def lowerCAmelCase_( ) ... | 661 | 1 |
"""simple docstring"""
from collections import defaultdict
from math import ceil, sqrt
def lowerCAmelCase_( lowercase_ : int = 1_00_00_00 , lowercase_ : int = 10 ) -> int:
_lowerCamelCase = defaultdict(lowercase_ )
for outer_width in range(3 , (t_limit // 4) ... | 661 |
"""simple docstring"""
from __future__ import annotations
import os
from collections.abc import Mapping
__SCREAMING_SNAKE_CASE : str = tuple[int, int]
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__ , lowerCamelCase__... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 1 , lowercase_ : int = 10_00 ) -> int:
_lowerCamelCase = 1
_lowerCamelCase = 0
for divide_by_number in range(lowercase_ , digit + 1 ):
_lowerCamelCase = []
_lowerCam... | 661 |
"""simple docstring"""
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCAmelCase_( lowercase_ : int = 2_00_00_00 ) -> int:
_lowerCamelCase = [0]
_lowerCamelCase = 42
for idx in range(1 , ceil(sqrt(target * 2 ) * 1.1 ) ... | 661 | 1 |
"""simple docstring"""
import sys
def lowerCAmelCase_( lowercase_ : Union[str, Any] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
_lowerCamelCase = [[0 for x in range(lowercase_ )] for x in range(lowercase_ )]
_lowerCamelCase = [[0 for x... | 661 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
__SCREAMING_SNAKE_CASE : List[Any] = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self , ... | 661 | 1 |
"""simple docstring"""
import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class lowerCamelCase_:
'''simple docstring'''
lowercase__ : Optional[Union[str, Path]] = None
lowercase__ : bool ... | 661 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer
__SCREAMING_SNAKE_CASE : int = logging.... | 661 | 1 |
"""simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
def lowerCAmelCase_( lowercase_ : int ) -> List[Any]:
# vision encoder
if "img_encoder.pos_embed" in name:
_lo... | 661 |
"""simple docstring"""
from math import sqrt
import numpy as np
from sympy import symbols
# Coefficient
# Speed of light (m/s)
__SCREAMING_SNAKE_CASE : str = 2_9_9_7_9_2_4_5_8
# Symbols
__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_... | 661 | 1 |
"""simple docstring"""
from typing import Dict, List, Optional, Tuple, 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_... | 661 |
"""simple docstring"""
from __future__ import annotations
__SCREAMING_SNAKE_CASE : Dict = 1.6_0_2_1e-1_9 # units = C
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : float , ) -> tuple[str, float]:
if (conductivity, electron_con... | 661 | 1 |
"""simple docstring"""
from PIL import Image
def lowerCAmelCase_( lowercase_ : Image ) -> Image:
_lowerCamelCase , _lowerCamelCase = image.size
_lowerCamelCase = 0
_lowerCamelCase = image.load()
for i in range(lowercase_ ):
for j in range(... | 661 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze,
transpose,
... | 661 | 1 |
"""simple docstring"""
from random import shuffle
import tensorflow as tf
from numpy import array
def lowerCAmelCase_( lowercase_ : List[str] , lowercase_ : str ) -> Tuple:
_lowerCamelCase = int(lowercase_ )
assert noofclusters < len(lowercase_ )
# Find ... | 661 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational i... | 661 | 1 |
"""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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_o... | 661 |
"""simple docstring"""
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_prop... | 661 | 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
__SCREAMING_SNAKE_CASE : Any = logging.get_logger(__name__)
def ... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 10 ) -> str:
if not isinstance(lowercase_ , lowercase_ ) or n < 0:
raise ValueError('''Invalid input''' )
_lowerCamelCase = 10**n
_lowerCamelCase = 2_84_33 * (pow(2 , 7_83_04_57 ,... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 10 ) -> str:
if not isinstance(lowercase_ , lowercase_ ) or n < 0:
raise ValueError('''Invalid input''' )
_lowerCamelCase = 10**n
_lowerCamelCase = 2_84_33 * (pow(2 , 7_83_04_57 ,... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''configuration_informer''': [
'''INFORMER_PRETRAINED_CONFIG_ARCHI... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_biogpt''': ['''BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BioGptConfig'''... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str , lowercase_ : str ) -> float:
def get_matched_characters(lowercase_ : str , lowercase_ : str ) -> str:
_lowerCamelCase = []
_lowerCamelCase = min(len(_stra ) , len(_st... | 661 | 1 |
"""simple docstring"""
import argparse
import os.path as osp
import re
import torch
from safetensors.torch import load_file, save_file
# =================#
# UNet Conversion #
# =================#
__SCREAMING_SNAKE_CASE : int = [
# (stable-diffusion, HF Diffusers)
('''time_embed.0.weight'''... | 661 |
"""simple docstring"""
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
... | 661 | 1 |
"""simple docstring"""
import shutil
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_tf_cross_test,
require_tf,
require_torch,
require_torchvision,
require_vision,
)
from transformers.utils import is_tf_available, is_torch_available, is_vision_... | 661 |
"""simple docstring"""
import re
import string
from collections import Counter
import sacrebleu
import sacremoses
from packaging import version
import datasets
__SCREAMING_SNAKE_CASE : Optional[int] = '''
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translatio... | 661 | 1 |
"""simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from torchvision.transforms import Compose, Normalize, Resize, ToTensor
from transformers import SwinaSRConfig, SwinaSRForImageSuperResolution, SwinaSRImageProcessor
def lowerCAmelCase_( lowercase_ : Dict ) ... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
'''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRE... | 661 | 1 |
"""simple docstring"""
import argparse
import json
from collections import OrderedDict
import torch
from huggingface_hub import cached_download, hf_hub_url
from transformers import AutoImageProcessor, CvtConfig, CvtForImageClassification
def lowerCAmelCase_( lowercase_ : Union[str, Any] ) ->... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Any = {
'''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
'''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''... | 661 | 1 |
"""simple docstring"""
from typing import List, Optional, Union
import numpy as np
import torch
import torchaudio.compliance.kaldi as ta_kaldi
from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import BatchFeature
from ...utils import PaddingStrategy, Tensor... | 661 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from fastap... | 661 | 1 |
"""simple docstring"""
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def lo... | 661 |
"""simple docstring"""
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def lo... | 661 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze,
transpose,
... | 661 |
"""simple docstring"""
import inspect
import unittest
from transformers import BitConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_backbone_common import BackboneTest... | 661 | 1 |
"""simple docstring"""
from __future__ import annotations
__SCREAMING_SNAKE_CASE : Dict = 1.6_0_2_1e-1_9 # units = C
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : float , ) -> tuple[str, float]:
if (conductivity, electron_con... | 661 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_torchaudio_availa... | 661 | 1 |
"""simple docstring"""
import unittest
import numpy as np
import torch
from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class lowerCamelCase_( unittest.T... | 661 |
"""simple docstring"""
import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory
from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
convert,
ensure_valid_input,
generate_identified... | 661 | 1 |
"""simple docstring"""
import torch
from diffusers import CMStochasticIterativeScheduler
from .test_schedulers import SchedulerCommonTest
class lowerCamelCase_( A__ ):
'''simple docstring'''
lowercase__ : List[str] = (CMStochasticIterativeScheduler,)
lowercase... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Optional[Any] = {str(digit): digit**5 for digit in range(1_0)}
def lowerCAmelCase_( lowercase_ : int ) -> int:
return sum(DIGITS_FIFTH_POWER[digit] for digit in str(lowercase_ ) )
def lowerCAmelCase_( ) ... | 661 | 1 |
"""simple docstring"""
import math
def lowerCAmelCase_( lowercase_ : int ) -> list:
_lowerCamelCase = [True] * n
_lowerCamelCase = False
_lowerCamelCase = False
_lowerCamelCase = True
for i in range(3 , int(n**0.5 + 1 ) , 2 ):
... | 661 |
"""simple docstring"""
from __future__ import annotations
import os
from collections.abc import Mapping
__SCREAMING_SNAKE_CASE : str = tuple[int, int]
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__ , lowerCamelCase__... | 661 | 1 |
"""simple docstring"""
from pathlib import Path
import numpy as np
from PIL import Image
def lowerCAmelCase_( lowercase_ : np.ndarray ) -> np.ndarray:
_lowerCamelCase , _lowerCamelCase , _lowerCamelCase = rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
return 0.2_9_8_9 * r + 0... | 661 |
"""simple docstring"""
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCAmelCase_( lowercase_ : int = 2_00_00_00 ) -> int:
_lowerCamelCase = [0]
_lowerCamelCase = 42
for idx in range(1 , ceil(sqrt(target * 2 ) * 1.1 ) ... | 661 | 1 |
"""simple docstring"""
import json
import logging
import os
import sys
from pathlib import Path
import finetune_rag
from transformers.file_utils import is_apex_available
from transformers.testing_utils import (
TestCasePlus,
execute_subprocess_async,
require_ray,
require_torch_gpu,
require_tor... | 661 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deit import DeiTImageProcessor
__SCREAMING_SNAKE_CASE : List[Any] = logging.get_logger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
def __init__( self , ... | 661 | 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/LICENSE-2.0
... | 661 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer
__SCREAMING_SNAKE_CASE : int = logging.... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> int:
return int(input_a == input_a == 0 )
def lowerCAmelCase_( ) -> None:
print('''Truth Table of NOR Gate:''' )
print('''| Input 1 | Input 2 | Output |''... | 661 |
"""simple docstring"""
from math import sqrt
import numpy as np
from sympy import symbols
# Coefficient
# Speed of light (m/s)
__SCREAMING_SNAKE_CASE : str = 2_9_9_7_9_2_4_5_8
# Symbols
__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE , __SCREAMING_... | 661 | 1 |
"""simple docstring"""
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging
__SCREAMING_SNAKE_CASE : List[str... | 661 |
"""simple docstring"""
from __future__ import annotations
__SCREAMING_SNAKE_CASE : Dict = 1.6_0_2_1e-1_9 # units = C
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : float , ) -> tuple[str, float]:
if (conductivity, electron_con... | 661 | 1 |
"""simple docstring"""
import argparse
import json
import os
import re
import shutil
import torch
from transformers import BioGptConfig, BioGptForCausalLM
from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES
from transformers.tokenization_utils_base import TOKENIZER_CONFIG_FILE
from transf... | 661 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_flax, require_tf, require_torch
from transformers.utils import (
expand_dims,
flatten_dict,
is_flax_available,
is_tf_available,
is_torch_available,
reshape,
squeeze,
transpose,
... | 661 | 1 |
"""simple docstring"""
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_tokenizer... | 661 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational i... | 661 | 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
__SCREAMING_SNAKE_CASE : Optional[int] = logging.getLogger(__name__)
@dataclass
class lowerCamelCa... | 661 |
"""simple docstring"""
import pickle
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_prop... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_gpt_neox_japanese''': ['''GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int = 10 ) -> str:
if not isinstance(lowercase_ , lowercase_ ) or n < 0:
raise ValueError('''Invalid input''' )
_lowerCamelCase = 10**n
_lowerCamelCase = 2_84_33 * (pow(2 , 7_83_04_57 ,... | 661 | 1 |
"""simple docstring"""
import heapq
import sys
import numpy as np
__SCREAMING_SNAKE_CASE : List[str] = tuple[int, int]
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = []
_lowerCamelCase = set()
def... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''configuration_informer''': [
'''INFORMER_PRETRAINED_CONFIG_ARCHI... | 661 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__SCREAMING_SNAKE_CASE : int = {
'''configuration_pix2struct''': [
'''PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''... | 661 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str , lowercase_ : str ) -> float:
def get_matched_characters(lowercase_ : str , lowercase_ : str ) -> str:
_lowerCamelCase = []
_lowerCamelCase = min(len(_stra ) , len(_st... | 661 | 1 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int , lowercase_ : int = 0 , lowercase_ : int = 0 ) -> int:
_lowerCamelCase = right or len(lowercase_ ) - 1
if left > right:
return -1
elif list_data[left] == key:... | 661 |
"""simple docstring"""
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
... | 661 | 1 |
"""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 d[0] n... | 661 |
"""simple docstring"""
import re
import string
from collections import Counter
import sacrebleu
import sacremoses
from packaging import version
import datasets
__SCREAMING_SNAKE_CASE : Optional[int] = '''
@inproceedings{xu-etal-2016-optimizing,
title = {Optimizing Statistical Machine Translatio... | 661 | 1 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from .utils import PaddingStrategy, TensorType, is_tf_tensor, is_torch_tensor, logging, to_numpy
__SCREAMING_SNAKE_CASE : List[str] = l... | 661 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
'''configuration_wav2vec2''': ['''WAV_2_VEC_2_PRE... | 661 | 1 |
"""simple docstring"""
from typing import List
from .keymap import KEYMAP, get_character
def lowerCAmelCase_( lowercase_ : str ) -> Union[str, Any]:
def decorator(lowercase_ : int ):
_lowerCamelCase = getattr(lowercase_ , '''handle_key''' , [] )
... | 661 |
"""simple docstring"""
__SCREAMING_SNAKE_CASE : Any = {
'''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
'''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''... | 661 | 1 |
"""simple docstring"""
from statistics import mean, stdev
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int = 3 ) -> list:
_lowerCamelCase = min(lowercase_ )
_lowerCamelCase = max(lowercase_ )
# normalize data
return [round((x - x_min) /... | 661 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from fastap... | 661 | 1 |
"""simple docstring"""
from __future__ import annotations
__SCREAMING_SNAKE_CASE : int = 1_0
def lowerCAmelCase_( lowercase_ : list[int] ) -> list[int]:
_lowerCamelCase = 1
_lowerCamelCase = max(lowercase_ )
while placement <= max_digit:
... | 661 |
"""simple docstring"""
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def lo... | 661 | 1 |
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