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 copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowerCAmelCase :Optional[Any] = logging.ge... | 331 |
'''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModel... | 331 | 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_distilbert import DistilBertTokenizer
lowerCAmelCase :Any = logging.get_logger(... | 331 |
'''simple docstring'''
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import requ... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :Union[str, Any] = {
'''configuration_vision_encoder_decoder''': ['''VisionEncode... | 331 |
'''simple docstring'''
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json
def lowerCamelCase ( l... | 331 | 1 |
'''simple docstring'''
import os
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : Any = os.path.dirname(os.path.realpath(lowerCAmelCase ) )
__magic_name__ : str = os.path.join(lowerCAmelCase , 'triangle.txt' )
with open(lowerCAmelCase... | 331 |
'''simple docstring'''
def lowerCamelCase ( ):
"""simple docstring"""
return 1
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return 0 if x < 0 else two_pence(x - 2 ) + one_pence()
def lowerCamelCase ( lowerCAmelCase : int ):
"""s... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
from math import pi
# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase :Tuple = 1.0_5_4_5_7_1_8_1_7E-3_4 # unit of ℏ : J * s
lowerCAmelCase :Union[str, Any] = 3E8 # unit ... | 331 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=lowercase__ ):
'''simple docstring'''
A_ : Optional[Any] = ["""flax""", """transformers"""]
def __init__( self : Union[str, Any] , *_A : ... | 331 | 1 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 331 |
'''simple docstring'''
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
... | 331 | 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 ( lowerCAmelCase : Optional... | 331 |
'''simple docstring'''
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoMode... | 331 | 1 |
'''simple docstring'''
import argparse
import os
import re
import packaging.version
lowerCAmelCase :Any = '''examples/'''
lowerCAmelCase :List[Any] = {
'''examples''': (re.compile(r'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
'''init... | 331 |
'''simple docstring'''
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
A_ : Dict = (DDPMScheduler,)
def __lowerCAmelCase ( self : Any ... | 331 | 1 |
'''simple docstring'''
from collections.abc import Callable
import numpy as np
def lowerCamelCase ( lowerCAmelCase : Callable , lowerCAmelCase : float , lowerCAmelCase : float , lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
__magic_name__ ... | 331 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
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 import (
... | 331 | 1 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, DPMSolverMultistepScheduler, TransformeraDModel
from diffusers.utils import is_xformers_available, load_numpy, slow, torch_device
from diffusers.utils.testing_utils imp... | 331 |
'''simple docstring'''
import unittest
from transformers import DebertaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTeste... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available
lowerCAmelCase :Optional[Any] = {}
try:
if not is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except Optional... | 331 |
'''simple docstring'''
class _lowerCamelCase : # Public class to implement a graph
'''simple docstring'''
def __init__( self : List[Any] , _A : int , _A : int , _A : list[list[bool]] ) -> None:
__magic_name__ : Tuple = row
__... | 331 | 1 |
'''simple docstring'''
from ...processing_utils import ProcessorMixin
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
A_ : Union[str, Any] = """SpeechT5FeatureExtractor"""
A_ : Tuple = """SpeechT5Tokenizer"""
def __init__( self ... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase :Tuple = {'''processing_layoutxlm''': ['''L... | 331 | 1 |
'''simple docstring'''
import json
import logging
import os
import sys
from time import time
from unittest.mock import patch
from transformers.testing_utils import TestCasePlus, require_torch_tpu
logging.basicConfig(level=logging.DEBUG)
lowerCAmelCase :List[str] = logging.getLogger()
def lowerCa... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCamelCase ( lowerCAmelCase : int = 200_0000 ):
"""simple docstring"""
__magic_name__ : list[int] = [0]
__magic_name__ : int
for idx in range(1 , ceil(sqrt... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
import requests
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
__magic_name__ : Union[str, Any] = f'https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty'
return requests.g... | 331 |
'''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,
)
lowerCAmelCase :str = {'''configuration... | 331 | 1 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
return " ".join(input_str.split()[::-1] )
if __name__ == "__main__":
import doctest
doctest.testmod() | 331 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 331 | 1 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNetaDModel
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, skip_mps
from ..pipeline_... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import pi
# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase :Tuple = 1.0_5_4_5_7_1_8_1_7E-3_4 # unit of ℏ : J * s
lowerCAmelCase :Union[str, Any] = 3E8 # unit ... | 331 | 1 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax... | 331 |
'''simple docstring'''
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
lowerCAmelCase :Tuple = (
'''4S 3H 2C 7S 5H''',
'''9D 8H 2C 6S 7H''',
'''2D 6D 9D TH 7D''',
'''TC 8C 2S JH 6C''',
'''JH 8S TH AH QH''',
'... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase :Tuple = {
'''configuration_informer''': [
'''INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :Union[str, Any] = {
'''configuration_vision_encoder_decoder''': ['''VisionEncode... | 331 | 1 |
'''simple docstring'''
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : Optional[int] , _A : list ) -> None:
__magic_name__ : Tuple = set_counts
__magic_name__ : Tuple = max(_A )
__magic_name__ : L... | 331 |
'''simple docstring'''
from collections import UserDict
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTester... | 331 |
'''simple docstring'''
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common impor... | 331 | 1 |
'''simple docstring'''
from datetime import datetime as dt
import os
from github import Github
lowerCAmelCase :Tuple = [
'''good first issue''',
'''good second issue''',
'''good difficult issue''',
'''feature request''',
'''new model''',
'''wip''',
]
def lowerCamelCase (... | 331 |
'''simple docstring'''
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch
if is_torch_available():
import torch
from transformers.generation import DisjunctiveConstraint
@require_torch
class _lowerCamelCase ( unittest.TestCas... | 331 | 1 |
'''simple docstring'''
import qiskit
def lowerCamelCase ( lowerCAmelCase : int , lowerCAmelCase : int ):
"""simple docstring"""
__magic_name__ : List[str] = qiskit.Aer.get_backend('aer_simulator' )
__magic_name__ : Optional[Any] = qiskit.Quantum... | 331 |
'''simple docstring'''
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
lowerCAmelCase :List[str] = yaml.safe_load(
'''\
name: ""
allow_empty: false
allow_empty_text: true
subse... | 331 | 1 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
lowerCAmelCase :str = logging.get_logger(__name__)... | 331 |
'''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModel... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import is_tensorflow_text_available, is_tf_available
from transformers.testing_utils import require_tensorflow_text, require_tf, slo... | 331 |
'''simple docstring'''
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import requ... | 331 | 1 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from .... | 331 |
'''simple docstring'''
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json
def lowerCamelCase ( l... | 331 | 1 |
'''simple docstring'''
import argparse
import numpy as np
import torch
from transformers import SpeechTaHifiGan, SpeechTaHifiGanConfig, logging
logging.set_verbosity_info()
lowerCAmelCase :List[str] = logging.get_logger('''transformers.models.speecht5''')
def lowerCamelCase ( lowerCAmelCase ... | 331 |
'''simple docstring'''
def lowerCamelCase ( ):
"""simple docstring"""
return 1
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return 0 if x < 0 else two_pence(x - 2 ) + one_pence()
def lowerCamelCase ( lowerCAmelCase : int ):
"""s... | 331 | 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
lowerCAmelCase :Union[str, Any] = logging.get_logger(__name__)
lowerCAme... | 331 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=lowercase__ ):
'''simple docstring'''
A_ : Optional[Any] = ["""flax""", """transformers"""]
def __init__( self : Union[str, Any] , *_A : ... | 331 | 1 |
'''simple docstring'''
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common impor... | 331 |
'''simple docstring'''
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
lowerCAmelCase :Tuple = TypeVar('''T''')
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return (position - 1) // 2
def lowerCamelCas... | 331 |
'''simple docstring'''
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoMode... | 331 | 1 |
'''simple docstring'''
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.bert.modeling_bert import (
BERT_INPUTS_DOCSTRING,
BERT_START_DOCSTRING,
BertE... | 331 |
'''simple docstring'''
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
A_ : Dict = (DDPMScheduler,)
def __lowerCAmelCase ( self : Any ... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCamelCase ( lowerCAmelCase : int = 200_0000 ):
"""simple docstring"""
__magic_name__ : list[int] = [0]
__magic_name__ : int
for idx in range(1 , ceil(sqrt... | 331 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
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 import (
... | 331 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :str = logging.get_logger(__name__)
lowerCAmelCase :List[str] = {
'''bigcode/gpt_bigcode-santacoder''': '''https://huggingface.co/bigcode/gpt_bigcode-santacoder/resolve... | 331 |
'''simple docstring'''
import unittest
from transformers import DebertaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTeste... | 331 | 1 |
'''simple docstring'''
import os
from bleurt import score # From: git+https://github.com/google-research/bleurt.git
import datasets
lowerCAmelCase :List[Any] = datasets.logging.get_logger(__name__)
lowerCAmelCase :Any = '''\
@inproceedings{bleurt,
title={BLEURT: Learning Robust Metric... | 331 |
'''simple docstring'''
class _lowerCamelCase : # Public class to implement a graph
'''simple docstring'''
def __init__( self : List[Any] , _A : int , _A : int , _A : list[list[bool]] ) -> None:
__magic_name__ : Tuple = row
__... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
lowerCAmelCase :Tuple = {
'''configuration_falcon''': ['''FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FalconConfig'''],
}
try:
if no... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase :Tuple = {'''processing_layoutxlm''': ['''L... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
import math
from collections import Counter
from string import ascii_lowercase
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
__magic_name__ , __magic_name__ : Any = analyze_text(lowerCAme... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCamelCase ( lowerCAmelCase : int = 200_0000 ):
"""simple docstring"""
__magic_name__ : list[int] = [0]
__magic_name__ : int
for idx in range(1 , ceil(sqrt... | 331 | 1 |
'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=lowercase__ )
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
A_ : str ... | 331 |
'''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,
)
lowerCAmelCase :str = {'''configuration... | 331 | 1 |
'''simple docstring'''
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
... | 331 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 331 | 1 |
'''simple docstring'''
import argparse
import json
import numpy
import torch
from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging
logging.set_verbosity_info()
def lowerCamelCase ( lowerCAmelCase : str , lowerCAmelC... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import pi
# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase :Tuple = 1.0_5_4_5_7_1_8_1_7E-3_4 # unit of ℏ : J * s
lowerCAmelCase :Union[str, Any] = 3E8 # unit ... | 331 | 1 |
'''simple docstring'''
from collections import defaultdict
from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ , __magic_name__ : Dict = 9, 14 # noqa: F841
__magic_name__ : Union[... | 331 |
'''simple docstring'''
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
lowerCAmelCase :Tuple = (
'''4S 3H 2C 7S 5H''',
'''9D 8H 2C 6S 7H''',
'''2D 6D 9D TH 7D''',
'''TC 8C 2S JH 6C''',
'''JH 8S TH AH QH''',
'... | 331 | 1 |
'''simple docstring'''
import unittest
from datasets import load_dataset
from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class _lowerCamelCase ( lowercase__ , uni... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :Union[str, Any] = {
'''configuration_vision_encoder_decoder''': ['''VisionEncode... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : List[Any] , _A : str , _A : str ) -> Union[str, Any]:
__magic_name__ , __magic_name__ : str = text, pattern
... | 331 |
'''simple docstring'''
from collections import UserDict
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():... | 331 | 1 |
'''simple docstring'''
import json
from typing import TYPE_CHECKING, 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 .tokenizati... | 331 |
'''simple docstring'''
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common impor... | 331 | 1 |
'''simple docstring'''
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
lowerCAmelCase :Any = loggin... | 331 |
'''simple docstring'''
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch
if is_torch_available():
import torch
from transformers.generation import DisjunctiveConstraint
@require_torch
class _lowerCamelCase ( unittest.TestCas... | 331 | 1 |
'''simple docstring'''
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
lowerCAmelCase :Dict = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import check_copies # noqa: E... | 331 |
'''simple docstring'''
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
lowerCAmelCase :List[str] = yaml.safe_load(
'''\
name: ""
allow_empty: false
allow_empty_text: true
subse... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
lowerCAmelCase :Any = '''#'''
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : int ) -> None:
__magic_name__ : dict = {}
def __lowerCAmelCase ( self : ... | 331 |
'''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModel... | 331 | 1 |
'''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
... | 331 |
'''simple docstring'''
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import requ... | 331 | 1 |
'''simple docstring'''
# Algorithm for the pigeonhole sorting
def lowerCamelCase ( lowerCAmelCase : Union[str, Any] ):
"""simple docstring"""
__magic_name__ : str = min(lowerCAmelCase ) # min() finds the minimum value
__magic_name__ : int = max(low... | 331 |
'''simple docstring'''
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json
def lowerCamelCase ( l... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ..utils import _LazyModule
lowerCAmelCase :List[Any] = {
'''config''': [
'''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
'''OnnxConfig''',
'''OnnxConfigWithPast''',
'''OnnxSeq2SeqConfigWithPast''',
'''Patch... | 331 |
'''simple docstring'''
def lowerCamelCase ( ):
"""simple docstring"""
return 1
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return 0 if x < 0 else two_pence(x - 2 ) + one_pence()
def lowerCamelCase ( lowerCAmelCase : int ):
"""s... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase :List[Any] = {
'''configuration_electra''': ['''ELEC... | 331 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=lowercase__ ):
'''simple docstring'''
A_ : Optional[Any] = ["""flax""", """transformers"""]
def __init__( self : Union[str, Any] , *_A : ... | 331 | 1 |
'''simple docstring'''
import math
import os
import sys
def lowerCamelCase ( lowerCAmelCase : str ):
"""simple docstring"""
__magic_name__ : List[Any] = ''
try:
with open(lowerCAmelCase , 'rb' ) as binary_file:
__magic_name__ : Tuple = binary_f... | 331 |
'''simple docstring'''
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
... | 331 | 1 |
'''simple docstring'''
import argparse
import json
import os
import time
import zipfile
from get_ci_error_statistics import download_artifact, get_artifacts_links
from transformers import logging
lowerCAmelCase :Optional[int] = logging.get_logger(__name__)
def lowerCamelCase ( lowerCAmelCase... | 331 |
'''simple docstring'''
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoMode... | 331 | 1 |
'''simple docstring'''
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : Optional[int] , _A : int ) -> None:
__magic_name__ : List[str] = size
__magic_name__ : List[str] = [0] * size
__magic_name__ : ... | 331 |
'''simple docstring'''
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
A_ : Dict = (DDPMScheduler,)
def __lowerCAmelCase ( self : Any ... | 331 | 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
lowerCAmelCase :int = logging.get_logger(__name_... | 331 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
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 import (
... | 331 | 1 |
'''simple docstring'''
import numpy as np
import torch
from torch.utils.data import Dataset, IterableDataset
from ..utils.generic import ModelOutput
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
def __init__( self : Optional[int] , _A : Tuple , ... | 331 |
'''simple docstring'''
import unittest
from transformers import DebertaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTeste... | 331 | 1 |
'''simple docstring'''
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : Optional[Any] , _A : Union[str, Any] ) -> Tuple:
# we need a list not a string, so do something to change the type
__magic_name__ : Tuple = arr.split(',' )... | 331 |
'''simple docstring'''
class _lowerCamelCase : # Public class to implement a graph
'''simple docstring'''
def __init__( self : List[Any] , _A : int , _A : int , _A : list[list[bool]] ) -> None:
__magic_name__ : Tuple = row
__... | 331 | 1 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase :Optional[int] = logging.get_logger(__name__)
lowerCAmelCase :Any = {
'''... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase :Tuple = {'''processing_layoutxlm''': ['''L... | 331 | 1 |
'''simple docstring'''
from typing import Any
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : int , _A : Any ) -> Any:
__magic_name__ : List[str] = data
__magic_name__ : Tuple = None
def __repr__( ... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCamelCase ( lowerCAmelCase : int = 200_0000 ):
"""simple docstring"""
__magic_name__ : list[int] = [0]
__magic_name__ : int
for idx in range(1 , ceil(sqrt... | 331 | 1 |
'''simple docstring'''
import unittest
from transformers import MraConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_atten... | 331 |
'''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,
)
lowerCAmelCase :str = {'''configuration... | 331 | 1 |
'''simple docstring'''
import warnings
from typing import Dict
import numpy as np
from ..utils import ExplicitEnum, add_end_docstrings, is_tf_available, is_torch_available
from .base import PIPELINE_INIT_ARGS, GenericTensor, Pipeline
if is_tf_available():
from ..models.auto.modeling_tf_auto import TF_MOD... | 331 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 331 | 1 |
'''simple docstring'''
from itertools import product
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros
def lowerCamelCase ( lowerCAmelCase : List[str] , lowerCAmelCase : Dict ):
"""simple docstring"""
... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import pi
# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase :Tuple = 1.0_5_4_5_7_1_8_1_7E-3_4 # unit of ℏ : J * s
lowerCAmelCase :Union[str, Any] = 3E8 # unit ... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase :List[Any] = {'''configuration_reformer''': ['''REFORMER_PRETRAINED_... | 331 |
'''simple docstring'''
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
lowerCAmelCase :Tuple = (
'''4S 3H 2C 7S 5H''',
'''9D 8H 2C 6S 7H''',
'''2D 6D 9D TH 7D''',
'''TC 8C 2S JH 6C''',
'''JH 8S TH AH QH''',
'... | 331 | 1 |
'''simple docstring'''
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.utils import compute_effective_axis... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :Union[str, Any] = {
'''configuration_vision_encoder_decoder''': ['''VisionEncode... | 331 | 1 |
'''simple docstring'''
import inspect
import os
import unittest
from dataclasses import dataclass
import torch
from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda,... | 331 |
'''simple docstring'''
from collections import UserDict
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():... | 331 | 1 |
'''simple docstring'''
from typing import Dict, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import flip_channel_order, resize, to_channel_dimension_format, to_pil_image
from ...image_utils import (
ChannelDim... | 331 |
'''simple docstring'''
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common impor... | 331 | 1 |
'''simple docstring'''
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
lowerCAmelCase :List[str] = yaml.safe_load(
'''\
name: ""
allow_empty: false
allow_empty_text: true
subse... | 331 |
'''simple docstring'''
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch
if is_torch_available():
import torch
from transformers.generation import DisjunctiveConstraint
@require_torch
class _lowerCamelCase ( unittest.TestCas... | 331 | 1 |
'''simple docstring'''
import os
def lowerCamelCase ( lowerCAmelCase : str = "input.txt" ):
"""simple docstring"""
with open(os.path.join(os.path.dirname(lowerCAmelCase ) , lowerCAmelCase ) ) as input_file:
__magic_name__ : List[Any] = [
[int(lowerCAmelCase ... | 331 |
'''simple docstring'''
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
lowerCAmelCase :List[str] = yaml.safe_load(
'''\
name: ""
allow_empty: false
allow_empty_text: true
subse... | 331 | 1 |
'''simple docstring'''
import unittest
from parameterized import parameterized
from transformers import OpenLlamaConfig, is_torch_available, set_seed
from transformers.testing_utils import require_torch, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common imp... | 331 |
'''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModel... | 331 | 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,
)
lowerCAmelCase :str = {'''configuration... | 331 |
'''simple docstring'''
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import requ... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase :List[str] = {'''configuration_xlnet''': ['''XL... | 331 |
'''simple docstring'''
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json
def lowerCamelCase ( l... | 331 | 1 |
'''simple docstring'''
import math
def lowerCamelCase ( lowerCAmelCase : float , lowerCAmelCase : float ):
"""simple docstring"""
if (
not isinstance(lowerCAmelCase , (int, float) )
or power_factor < -1
or power_factor > 1
):
raise ValueError('power_factor must b... | 331 |
'''simple docstring'''
def lowerCamelCase ( ):
"""simple docstring"""
return 1
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return 0 if x < 0 else two_pence(x - 2 ) + one_pence()
def lowerCamelCase ( lowerCAmelCase : int ):
"""s... | 331 | 1 |
'''simple docstring'''
import argparse
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import BigBirdPegasusConfig, BigBirdPegasusForConditionalGeneration
lowerCAmelCase :str = [
# tf -> hf
('''/''', '''.'''),
('''layer_''', '''layers.'... | 331 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=lowercase__ ):
'''simple docstring'''
A_ : Optional[Any] = ["""flax""", """transformers"""]
def __init__( self : Union[str, Any] , *_A : ... | 331 | 1 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=lowercase__ ):
'''simple docstring'''
A_ : Optional[Any] = ["""flax""", """transformers"""]
def __init__( self : Union[str, Any] , *_A : ... | 331 |
'''simple docstring'''
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
... | 331 | 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 ( unit... | 331 |
'''simple docstring'''
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoMode... | 331 | 1 |
'''simple docstring'''
from __future__ import annotations
from cmath import sqrt
def lowerCamelCase ( lowerCAmelCase : int , lowerCAmelCase : int , lowerCAmelCase : int ):
"""simple docstring"""
if a == 0:
raise ValueError('Coefficient \'a\' must not be zero.' )
__magic_nam... | 331 |
'''simple docstring'''
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
A_ : Dict = (DDPMScheduler,)
def __lowerCAmelCase ( self : Any ... | 331 | 1 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int , lowerCAmelCase : int ):
"""simple docstring"""
return int((input_a, input_a).count(1 ) != 0 )
def lowerCamelCase ( ):
"""simple docstring"""
assert or_gate(0 , 0 ) == 0
assert or_gate(0 , 1 ... | 331 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
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 import (
... | 331 | 1 |
'''simple docstring'''
import os
# Precomputes a list of the 100 first triangular numbers
lowerCAmelCase :Union[str, Any] = [int(0.5 * n * (n + 1)) for n in range(1, 1_0_1)]
def lowerCamelCase ( ):
"""simple docstring"""
__magic_name__ : Optional[Any] = os.path.d... | 331 |
'''simple docstring'''
import unittest
from transformers import DebertaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTeste... | 331 | 1 |
'''simple docstring'''
import inspect
import logging
import os
import random
import shutil
import tempfile
import unittest
import pytest
import torch
from torch import nn
from torch.utils.data import DataLoader, TensorDataset
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_... | 331 |
'''simple docstring'''
class _lowerCamelCase : # Public class to implement a graph
'''simple docstring'''
def __init__( self : List[Any] , _A : int , _A : int , _A : list[list[bool]] ) -> None:
__magic_name__ : Tuple = row
__... | 331 | 1 |
'''simple docstring'''
from collections import deque
class _lowerCamelCase :
'''simple docstring'''
def __init__( self : List[str] , _A : str , _A : int , _A : int ) -> None:
__magic_name__ : Optional[Any] = process_name # proce... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase :Tuple = {'''processing_layoutxlm''': ['''L... | 331 | 1 |
'''simple docstring'''
def lowerCamelCase ( lowerCAmelCase : int , lowerCAmelCase : int ):
"""simple docstring"""
if b == 0:
return 1
if (b % 2) == 0:
return actual_power(lowerCAmelCase , int(b / 2 ) ) * actual_power(lowerCAmelCase , int(b / 2 ) )
else:
return a * actual_p... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import ceil, floor, sqrt
def lowerCamelCase ( lowerCAmelCase : int = 200_0000 ):
"""simple docstring"""
__magic_name__ : list[int] = [0]
__magic_name__ : int
for idx in range(1 , ceil(sqrt... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowerCAmelCase :Optional[int] = {
'''configuration_deberta''': ['''DEBERTA_PRETRAINED_CONF... | 331 |
'''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,
)
lowerCAmelCase :str = {'''configuration... | 331 | 1 |
'''simple docstring'''
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def lowerCamelCase ( lowerCAmelCase : Optional[Any] , lowe... | 331 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 331 | 1 |
'''simple docstring'''
import os
from typing import Dict, List, Union
import tensorflow as tf
from keras_nlp.tokenizers import BytePairTokenizer
from tensorflow_text import pad_model_inputs
from .tokenization_gpta import GPTaTokenizer
class _lowerCamelCase ( tf.keras.layers.Layer ):
'''simpl... | 331 |
'''simple docstring'''
from __future__ import annotations
from math import pi
# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase :Tuple = 1.0_5_4_5_7_1_8_1_7E-3_4 # unit of ℏ : J * s
lowerCAmelCase :Union[str, Any] = 3E8 # unit ... | 331 | 1 |
'''simple docstring'''
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import requ... | 331 |
'''simple docstring'''
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
lowerCAmelCase :Tuple = (
'''4S 3H 2C 7S 5H''',
'''9D 8H 2C 6S 7H''',
'''2D 6D 9D TH 7D''',
'''TC 8C 2S JH 6C''',
'''JH 8S TH AH QH''',
'... | 331 | 1 |
'''simple docstring'''
import unittest
from transformers import DebertaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTeste... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowerCAmelCase :Union[str, Any] = {
'''configuration_vision_encoder_decoder''': ['''VisionEncode... | 331 | 1 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig
lowerCAmelCase :int = logging.get_logger(__name__)
lowerCAmelCase :Dict = {
'''Intel/dpt-large''': '''https://huggingface.co/Intel/dpt-large/r... | 331 |
'''simple docstring'''
from collections import UserDict
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():... | 331 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase :Dict = {
'''configuration_blip_2''': [
'''BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''Blip2Config''',
'''Blip2QFormer... | 331 |
'''simple docstring'''
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common impor... | 331 | 1 |
'''simple docstring'''
from scipy.stats import pearsonr
import datasets
lowerCAmelCase :List[Any] = '''
Pearson correlation coefficient and p-value for testing non-correlation.
The Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value rel... | 331 |
'''simple docstring'''
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch
if is_torch_available():
import torch
from transformers.generation import DisjunctiveConstraint
@require_torch
class _lowerCamelCase ( unittest.TestCas... | 331 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :List[Any] = logging.get_logger(__name__)
lowerCAmelCase :str = {
# See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}
class _lowerCamelCase ... | 331 |
'''simple docstring'''
import re
import tempfile
from pathlib import Path
import pytest
import yaml
from datasets.utils.readme import ReadMe
# @pytest.fixture
# def example_yaml_structure():
lowerCAmelCase :List[str] = yaml.safe_load(
'''\
name: ""
allow_empty: false
allow_empty_text: true
subse... | 331 | 1 |
'''simple docstring'''
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
lowerCAmelCase :Tuple = (
'''4S 3H 2C 7S 5H''',
'''9D 8H 2C 6S 7H''',
'''2D 6D 9D TH 7D''',
'''TC 8C 2S JH 6C''',
'''JH 8S TH AH QH''',
'... | 331 |
'''simple docstring'''
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModel... | 331 | 1 |
'''simple docstring'''
import os
from typing import Dict, List, Tuple, TypeVar, Union
lowerCAmelCase :Dict = TypeVar('''T''')
lowerCAmelCase :Optional[int] = Union[List[T], Tuple[T, ...]]
lowerCAmelCase :int = Union[T, List[T], Dict[str, T]]
lowerCAmelCase :List[Any] = ... | 331 |
'''simple docstring'''
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import requ... | 331 | 1 |
'''simple docstring'''
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all feature extractors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_... | 331 |
'''simple docstring'''
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils_rag import save_json
def lowerCamelCase ( l... | 331 | 1 |
'''simple docstring'''
import importlib
import os
import sys
# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append('''.''')
def lowerCamelCase ( lowerCAmelCase : Any ):
"""simple docstring"""
__magic_name__ ... | 331 |
'''simple docstring'''
def lowerCamelCase ( ):
"""simple docstring"""
return 1
def lowerCamelCase ( lowerCAmelCase : int ):
"""simple docstring"""
return 0 if x < 0 else two_pence(x - 2 ) + one_pence()
def lowerCamelCase ( lowerCAmelCase : int ):
"""s... | 331 | 1 |
'''simple docstring'''
class _lowerCamelCase : # Public class to implement a graph
'''simple docstring'''
def __init__( self : List[Any] , _A : int , _A : int , _A : list[list[bool]] ) -> None:
__magic_name__ : Tuple = row
__... | 331 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class _lowerCamelCase ( metaclass=lowercase__ ):
'''simple docstring'''
A_ : Optional[Any] = ["""flax""", """transformers"""]
def __init__( self : Union[str, Any] , *_A : ... | 331 | 1 |
'''simple docstring'''
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 im... | 331 |
'''simple docstring'''
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
... | 331 | 1 |
'''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 ...test_modeling_c... | 331 |
'''simple docstring'''
import argparse
import logging
import os
from pathlib import Path
from typing import Any, Dict
import pytorch_lightning as pl
from pytorch_lightning.utilities import rank_zero_info
from transformers import (
AdamW,
AutoConfig,
AutoModel,
AutoModelForPreTraining,
AutoMode... | 331 | 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,
)
lowerCAmelCase :List[Any] = {'''configu... | 331 |
'''simple docstring'''
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class _lowerCamelCase ( lowercase__ ):
'''simple docstring'''
A_ : Dict = (DDPMScheduler,)
def __lowerCAmelCase ( self : Any ... | 331 | 1 |
'''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_f... | 331 |
'''simple docstring'''
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
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 import (
... | 331 | 1 |
'''simple docstring'''
import warnings
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase :Tuple = logging.get_logger(__name__)
lowerCAmelCase :List[str] = {
'''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json... | 331 |
'''simple docstring'''
import unittest
from transformers import DebertaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTeste... | 331 | 1 |
'''simple docstring'''
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_tf
if is_tf_available():
import tensorflow as tf
from tensorflow.python.eager import context
from tensorflow.python.framework import ops
from transformers im... | 331 |
'''simple docstring'''
class _lowerCamelCase : # Public class to implement a graph
'''simple docstring'''
def __init__( self : List[Any] , _A : int , _A : int , _A : list[list[bool]] ) -> None:
__magic_name__ : Tuple = row
__... | 331 | 1 |
'''simple docstring'''
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging
lowerCAmelCase :str... | 331 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase :Tuple = {'''processing_layoutxlm''': ['''L... | 331 | 1 |
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