code stringlengths 87 55.2k | code_codestyle int64 0 349 | style_context stringlengths 135 49.1k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
import unittest
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
if is_torch_available():
import torch
from transformers import AutoModelForImag... | 81 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 0 |
import comet # From: unbabel-comet
import torch
import datasets
A__ = datasets.logging.get_logger(__name__)
A__ = """\
@inproceedings{rei-EtAl:2020:WMT,
author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and Lavie, Alon},
title = {Unbabel's Participation in ... | 82 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 0 |
'''simple docstring'''
import argparse
import collections
import json
from pathlib import Path
import requests
import torch
import yaml
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
MobileViTImageProcessor,
MobileViTVaConfig,
MobileViTVaForImageClassifica... | 83 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 0 |
"""simple docstring"""
class _SCREAMING_SNAKE_CASE :
def __init__( self ) -> int:
lowerCAmelCase_ :List[str] = """"""
lowerCAmelCase_ :List[Any] = """"""
lowerCAmelCase_ :Union[str, Any] = []
def ... | 84 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 0 |
'''simple docstring'''
import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...models.auto.modeling_auto import MODEL_FOR_QUESTION_ANSWERING_MAP... | 85 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 0 |
"""simple docstring"""
def __lowerCAmelCase (_UpperCamelCase = 1000 ):
__lowerCAmelCase , __lowerCAmelCase : Optional[int] = 1, 1
__lowerCAmelCase : int = 2
while True:
__lowerCAmelCase : Optional[int] = 0
__lowerCAmelCase : L... | 86 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 0 |
from typing import List
import jiwer
import jiwer.transforms as tr
from packaging import version
import datasets
from datasets.config import PY_VERSION
if PY_VERSION < version.parse('''3.8'''):
import importlib_metadata
else:
import importlib.metadata as importlib_metadata
UpperCamelCa... | 87 |
"""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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 0 |
import json
from typing import List, Optional, Tuple
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer
... | 88 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase = logging.get_logger(__name__)
__lowerCAmelCase = {
'''caidas/swin2sr-classicalsr-x2-64''': (
'''https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolv... | 89 |
"""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'''
... | 45 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
__A = {
"configuration_data2vec_audio": ["DATA2VEC_AUDIO_PRETRAINED_CONFIG_ARCHIVE_MAP", "Data2VecAudioConfig"],
"configuration_data2vec_text": [
... | 90 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 0 |
"""simple docstring"""
import sys
from typing import Tuple
import numpy as np
import torch
from PIL import Image
from torch import nn
from transformers.image_utils import PILImageResampling
from utils import img_tensorize
class lowerCAmelCase__ :
'''simple docstring'''
de... | 91 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 0 |
import logging
from transformers import PretrainedConfig
UpperCamelCase__ = logging.getLogger(__name__)
UpperCamelCase__ = {
"""bertabs-finetuned-cnndm""": """https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json""",
}
class a_... | 92 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 0 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING, TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING
from transformers.pipelines import AudioClassificationPipeline, pipeline
from transformers.testing_utils import (
is_pipeline... | 93 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 0 |
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_output_indices
snake_ca... | 94 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 0 |
import json
import pathlib
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_imag... | 95 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 0 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
fr... | 96 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 0 |
'''simple docstring'''
from typing import Any
def a ( __a ) -> list[Any]:
'''simple docstring'''
if not input_list:
return []
UpperCamelCase__ :str = [input_list.count(__a ) for value in input_list]
UpperCamelCase__ :Dict = max(__a )... | 97 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 0 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def a_ ( lowerCamelCase ):
return ConvertCommand(
args.model_type , args.tf_checkpoint , args.pytorch_dump_output , args.con... | 98 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 0 |
import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union
import transformers
from transformers.testing_utils import require_tf, require_torch, slow
lowercase : List[Any] = logging.getLogger()
@unittest.skip('''Temporarily disable t... | 99 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 0 |
"""simple docstring"""
from __future__ import annotations
from math import gcd
def _lowerCAmelCase ( UpperCamelCase_ , UpperCamelCase_ = 2 , UpperCamelCase_ = 1 , UpperCamelCase_ = 3 , ):
# A value less than 2 can cause an infinite loop in the algorithm.
if num < 2:
raise V... | 100 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from... | 45 | 0 |
import gc
import unittest
from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
import jax.numpy as jnp
from flax.jax_utils import replica... | 101 |
"""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,
)
lowercase_ = {"con... | 45 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
SCREAMING_SNAKE_CASE : Optional[Any] = {
"""configuration_m2m_100""": ["""M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP""", """M2M100Confi... | 102 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 0 |
class __snake_case :
def __init__( self : str , A_ : Dict , A_ : Optional[int]):
lowerCAmelCase_ : str = name
lowerCAmelCase_ : List[Any] = val
def __str__( self : List[str]):... | 103 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 0 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
lowerCAmelCase__ = TypeVar('''T''')
def _A ( A__ ):
"""simple docstring"""
return (position - 1) // 2
def _A ( A__ ):
"""simple docs... | 104 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 0 |
"""simple docstring"""
import argparse
import os
import torch
from diffusers import (
CMStochasticIterativeScheduler,
ConsistencyModelPipeline,
UNetaDModel,
)
a : List[Any] = {
'''sample_size''': 32,
'''in_channels''': 3,
'''out_channels''': 3,... | 105 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 0 |
"""simple docstring"""
from typing import Any
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : Any ,lowercase_ : Any ):
lowerCAmelCase__ : List[str] = data
lowerCAmelCase__ : Any = None
class S... | 106 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 0 |
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_flax_common import Flax... | 107 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
lowerCAmelCase__ = {
'''configuration_bloom''': ['''BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BloomConfig''', '''BloomOnnxCon... | 108 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
A: Optional[Any] = {
"configuration_tapas": ["TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP", "TapasConfig"],
"tokenization_tapas": ["TapasTokenize... | 109 |
"""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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 0 |
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 _a ( ... | 110 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 0 |
"""simple docstring"""
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional
import yaml
from transformers... | 288 |
"""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'''
... | 45 | 0 |
from importlib import import_module
from .logging import get_logger
lowerCAmelCase__ = get_logger(__name__)
class a__ :
"""simple docstring"""
def __init__( self , lowercase , lowercase=None ) -> List[str]:
'''simple docstring'''
A__ ... | 68 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 0 |
import argparse
from argparse import Namespace
import torch
from torch import nn
from transformers import XGLMConfig, XGLMForCausalLM
def lowerCAmelCase__ ( a__: str ) -> int:
'''simple docstring'''
_UpperCAmelCase = [
'decoder.version',
'decoder.ou... | 329 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
__a = {
'configuration_perceiver': ['PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Pe... | 145 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 0 |
import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional
import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset
from transformers im... | 312 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 0 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCamelCase : Optional[Any] = logging.get_logger(__name__)
lowerCamelCase : Tuple = {
"robert... | 204 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 0 |
import doctest
from collections import deque
import numpy as np
class __magic_name__ :
"""simple docstring"""
def __init__( self :List[str] ):
'''simple docstring'''
A_ : str = [2, 1, 2, -1]
A_ : Tuple = [1, 2, 3, 4]
... | 300 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 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,
)
_UpperCAmelCase : Tuple = {
"""configuration_... | 174 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 0 |
import numpy as np
def a__ ( snake_case , snake_case ):
"""simple docstring"""
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 303 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 0 |
"""simple docstring"""
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging
UpperCAmelCase = logging.get... | 256 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 0 |
"""simple docstring"""
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_fl... | 261 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 0 |
"""simple docstring"""
import argparse
import ast
import logging
import os
import sys
import pandas as pd
import torch
from tqdm import tqdm
from transformers import BartForConditionalGeneration, RagRetriever, RagSequenceForGeneration, RagTokenForGeneration
from transformers import logging as tran... | 288 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from... | 45 | 0 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
"""micros... | 68 |
"""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,
)
lowercase_ = {"con... | 45 | 0 |
lowerCAmelCase__ :Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def lowerCAmelCase__ ( a__: bytes ) -> bytes:
'''simple docstring'''
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
_UpperCAmel... | 329 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__a = {'configuration_unispeech': ['UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP', 'UniSpeechConfig']... | 145 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 0 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
UniSpeechConfig,
UniSpeechForCTC,
UniSpeechForPreTraining,
WavaVecaFeatureExtractor,
WavaVecaPhonemeCTCTokenizer,
WavaVecaProcessor,
logging,
... | 312 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 0 |
def _SCREAMING_SNAKE_CASE ( lowercase : list[list[int]] , lowercase : int , lowercase : int , lowercase : set ):
'''simple docstring'''
lowerCamelCase_ , lowerCamelCase_ = len(lowerCAmelCase__ ), len(grid[0] ... | 204 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 0 |
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 .transformer_engine impor... | 300 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 0 |
'''simple docstring'''
from __future__ import annotations
_UpperCAmelCase : Any = 1.6021E-19 # units = C
def __magic_name__( lowerCamelCase, lowerCamelCase, lowerCamelCase, ):
if (conductivity, electron_conc, mobility).count(0) != 1:
raise ValueError('''You can... | 174 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 0 |
def a__ ( snake_case , snake_case , snake_case ):
"""simple docstring"""
def update_area_of_max_square(snake_case , snake_case ) -> int:
# BASE CASE
if row >= rows or col >= cols:
return 0
__SCREAMING_SNAKE_CASE : List[Any] = update_area_of_... | 303 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 0 |
"""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 AutoI... | 256 |
"""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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
SCREAMING_SNAKE_CASE__:Any = {
"""configuration_layoutlmv2""": ["""LAYOUTLMV2_PRETRA... | 261 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 0 |
"""simple docstring"""
import argparse
import re
from pathlib import Path
import requests
import torch
from PIL import Image
from torchvision.transforms import CenterCrop, Compose, Normalize, Resize, ToTensor
from transformers import (
EfficientFormerConfig,
EfficientFormerForImageClassifi... | 288 |
"""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'''
... | 45 | 0 |
def lowerCAmelCase__ ( SCREAMING_SNAKE_CASE_: str ) -> bool:
'''simple docstring'''
A__ = [int(lowerCAmelCase__ ) for i in ip_va_address.split("." ) if i.isdigit()]
return len(lowerCAmelCase__ ) == 4 and all(0 <= int(lowerCAmelCase__ ) <= 2_5_4 for oc... | 68 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 0 |
import json
import os
from typing import Optional, Tuple
import regex as re
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
lowerCAmelCase__ :List[str] = logging.get_logger(__name__)
lowerCAmelCase__ :List[str] = {
'''vocab_file''': '''vocab.json'''... | 329 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 0 |
'''simple docstring'''
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversation
_... | 145 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 0 |
import json
import os
import unittest
from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow
from ...test_tokenization_common import TokenizerTesterMixin
class _a ( __SCREAMING_SNAKE_CASE , unittest.TestC... | 312 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 0 |
from typing import List, Union
import numpy as np
from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
from ..image_utils import load_image
... | 204 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 0 |
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_available
from ...test_con... | 300 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 0 |
'''simple docstring'''
import argparse
from tax import checkpoints
from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def __magic_name__( lowerCamelCase, lowerCamelCase, lowerCamelCase):
__lowerCAmelCase = AutoConfig.from_pretrained(lowerCAmelCase__)
__lower... | 174 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 0 |
from math import factorial, pi
def a__ ( snake_case , snake_case = 30 ):
"""simple docstring"""
if not isinstance(lowerCAmelCase__ , (int, float) ):
raise ValueError('''maclaurin_sin() requires either an int or float for theta''' )
if not isinstance(lowerCAmelCase__... | 303 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 0 |
"""simple docstring"""
from maths.prime_factors import prime_factors
def lowercase ( a__ : int ) -> int:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
_UpperCamelCase = F'''Input value of [number={number}] must be an integer'''
raise Type... | 256 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 0 |
"""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__:int = logging.get_logger(__name__)
SCREAMING_SN... | 261 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 0 |
"""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... | 288 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from... | 45 | 0 |
def lowerCAmelCase__ ( SCREAMING_SNAKE_CASE_: float ) -> float:
'''simple docstring'''
return 1_0 - x * x
def lowerCAmelCase__ ( SCREAMING_SNAKE_CASE_: float , SCREAMING_SNAKE_CASE_: float ) -> float:
'''simple docstring'''
... | 68 |
"""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,
)
lowercase_ = {"con... | 45 | 0 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaImgaImgPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, load_image, load_numpy, slow, ... | 329 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 0 |
'''simple docstring'''
class A__ : # Public class to implement a graph
"""simple docstring"""
def __init__( self : Union[str, Any] , lowerCAmelCase__ : int , lowerCAmelCase__ : Any , lowerCAmelCase__ : Dict ) -> List[str]:
... | 145 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 0 |
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 .tokenization_a... | 312 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 0 |
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class A( unittest.TestCase ):
'''si... | 204 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 0 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
_lowerCAmelCase : List[str] = logging.get_logger(__name__)
_lowerCAmelCase : Optional[int] = {
'''f... | 300 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 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
_UpperCAmelCase : ... | 174 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 0 |
import logging
import os
from .state import PartialState
class __UpperCamelCase ( logging.LoggerAdapter ):
"""simple docstring"""
@staticmethod
def UpperCAmelCase__ ( _A : int ):
"""simple docstring"""
__SCREAMING_SNAKE_C... | 303 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 0 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logging,
)
fro... | 256 |
"""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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 0 |
"""simple docstring"""
import unittest
from knapsack import greedy_knapsack as kp
class snake_case__ ( unittest.TestCase ):
def a__ ( self ):
__a = [10, 20, 30, 40, 50, 60]
__a = [2, 4, 6, 8, 10, 12]
__a = 100
self.assertEqual(kp.... | 261 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 0 |
"""simple docstring"""
import logging
import random
import ray
from transformers import RagConfig, RagRetriever, RagTokenizer
from transformers.models.rag.retrieval_rag import CustomHFIndex
UpperCAmelCase__ = logging.getLogger(__name__)
class lowerCAmelCase__ :
... | 288 |
"""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'''
... | 45 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
lowerCAmelCase__ = {
"""configuration_m2m_100""": ["""M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP""", """M2M100Config""", """M2M100OnnxConfig"""],
"""tokeniz... | 68 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 0 |
import importlib
import math
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Tuple, Union
import flax
import jax.numpy as jnp
from ..utils import BaseOutput
lowerCAmelCase__ :Optional[int] = '''scheduler_config.json'''
class __a ( _... | 329 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 0 |
'''simple docstring'''
from collections.abc import Sequence
def __UpperCAmelCase ( a_: Sequence[int] | None = None ):
if nums is None or not nums:
raise ValueError("Input sequence should not be empty" )
_UpperCAmelCase : List[str] = nums[0]
for i in rang... | 145 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 0 |
import unittest
import numpy as np
import torch
from torch import nn
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModelWithProjection,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import KandinskyVaaPriorPipeline, ... | 312 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 0 |
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterato... | 204 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 0 |
import inspect
import unittest
from transformers import MobileNetVaConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_common import ConfigTester
from ..... | 300 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
UniSpeechSatConfig,
UniSpeechSatForAudioFrameClassification,
UniSpeechSatForSequenceClassification,
UniSpeechSatForXVector,
WavaVecaFeatureExtractor,
logging,
)
logging.set_verbosity_info()
... | 174 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 0 |
def a__ ( snake_case ):
"""simple docstring"""
return number & 1 == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 303 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional
from packaging import version
if TYPE_CHECKING:
from ... import PreTrainedTokenizer, TensorType
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, Pat... | 256 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 0 |
"""simple docstring"""
from bisect import bisect
from itertools import accumulate
def _lowerCamelCase( a , a , a , a ):
__a = sorted(zip(lowerCAmelCase__ , lowerCAmelCase__ ) , key=lambda a : x[0] / x[1] , reverse=lowerCAmelCase__ )
... | 261 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 0 |
"""simple docstring"""
from copy import deepcopy
class lowerCAmelCase__ :
def __init__( self : Union[str, Any] , _lowerCamelCase : Tuple = None , _lowerCamelCase : Union[str, Any] = None ):
if arr is None and size is not None:
... | 288 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from... | 45 | 0 |
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_torch_multi_gpu,
)
logging... | 68 |
"""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,
)
lowercase_ = {"con... | 45 | 0 |
def lowerCAmelCase__ ( a__: int ) -> str:
'''simple docstring'''
if number > 0:
raise ValueError('input must be a negative integer' )
_UpperCAmelCase = len(bin(lowerCAmelCase__ )[3:] )
_UpperCAmelCase = bin(abs(lowerCAmelCas... | 329 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 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 (
AlbertTo... | 145 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 0 |
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a :List[Any] = logging.get_logger(__name__)
__a :Tuple = {
'asapp/sew-tiny-100k': 'https://huggingface.co/asapp/sew-tiny-100k/resolve/main/config.json... | 312 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 0 |
from collections import namedtuple
lowerCamelCase : Tuple = namedtuple("from_to", "from_ to")
lowerCamelCase : Any = {
"cubicmeter": from_to(1, 1),
"litre": from_to(0.001, 1_000),
"kilolitre": from_to(1, 1),
"gallon": from_to(0.0_0454, 264.172),
"cubicyard": ... | 204 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 0 |
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin, SchedulerOutput
@dataclass
class __magic_name__ ... | 300 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 0 |
'''simple docstring'''
def __magic_name__( lowerCamelCase, lowerCamelCase):
__lowerCAmelCase = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__, lowerCAmelCase__):
raise Exception('''join() accepts only strings to be join... | 174 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 0 |
import json
import pathlib
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_tor... | 303 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 0 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_tor... | 256 |
"""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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 0 |
"""simple docstring"""
from __future__ import annotations
def _lowerCamelCase( a , a ):
__a = get_failure_array(lowerCAmelCase__ )
# 2) Step through text searching for pattern
__a , __a = 0, 0 # index into text, pattern
while i < len(l... | 261 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 0 |
"""simple docstring"""
import math
import os
import sys
def _UpperCAmelCase ( __lowerCamelCase : str ) -> str:
_snake_case = ''''''
try:
with open(lowerCAmelCase__ , '''rb''' ) as binary_file:
_snake_case = binary_file.read()
... | 288 |
"""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'''
... | 45 | 0 |
import unittest
from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script
@require_cpu
class a__ ( unittest.TestCase ):
"""simple docstring"""
def UpperCamelCase ( self ) -> Optional[Any]:
'''simple docstring'''
... | 68 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 0 |
import warnings
from ..trainer import Trainer
from ..utils import logging
lowerCAmelCase__ :Optional[int] = logging.get_logger(__name__)
class __a ( __SCREAMING_SNAKE_CASE ):
def __init__( self , _SCREAMING_SNAKE_CASE=None , **_SCREAMING_SNAKE_CASE ) -> Any:
... | 329 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( a_: str ):
_UpperCAmelCase : Optional[int] = [0 for i in range(len(lowerCAmelCase__ ) )]
# initialize interval's left pointer and right pointer
_UpperCAmelCase , _UpperCAmelCase : Union[str, Any] ... | 145 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 0 |
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