code stringlengths 86 54.5k | code_codestyle int64 0 371 | style_context stringlengths 87 49.2k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
from typing import Any, Generic, TypeVar
A_ : Dict = TypeVar("""T""")
class lowercase ( Generic[T] ):
"""simple docstring"""
def __init__( self ,a_ ,a_ ) -> ... | 357 |
'''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
A_ : Union[str, Any] = logging.get_logger(__name__)
A_ ... | 349 | 0 |
'''simple docstring'''
import tempfile
import numpy as np
import torch
from transformers import AutoTokenizer, TaEncoderModel
from diffusers import DDPMScheduler, UNetaDConditionModel
from diffusers.models.attention_processor import AttnAddedKVProcessor
from diffusers.pipelines.deepfloyd_if import IFWaterma... | 358 |
'''simple docstring'''
import unittest
from knapsack import greedy_knapsack as kp
class lowercase ( unittest.TestCase ):
"""simple docstring"""
def _snake_case ( self ) -> Optional[Any]:
_UpperCAmelCase : Any = [10, 20, 30, 40, 50, 60]
... | 349 | 0 |
'''simple docstring'''
import random
class lowercase :
"""simple docstring"""
@staticmethod
def _snake_case ( a_ ) -> Dict:
_UpperCAmelCase : int = [ord(a_ ) for i in text]
_UpperCAmelCase : int = []
_Upper... | 359 |
'''simple docstring'''
from __future__ import annotations
import math
def snake_case_ ( lowerCAmelCase_ )-> list[int]:
'''simple docstring'''
if num <= 0:
_UpperCAmelCase : List[Any] = F'''{num}: Invalid input, please enter a positive integer.... | 349 | 0 |
'''simple docstring'''
import json
import os
import tempfile
from transformers.testing_utils import check_json_file_has_correct_format
class lowercase :
"""simple docstring"""
UpperCAmelCase = None
def _snake_case ( self ) -> ... | 360 |
'''simple docstring'''
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowercase ( _lowerCamelCase ):
"""simple docstring"""
de... | 349 | 0 |
'''simple docstring'''
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all image processors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_tr... | 361 |
'''simple docstring'''
A_ : Optional[Any] = """0.21.0"""
from .accelerator import Accelerator
from .big_modeling import (
cpu_offload,
cpu_offload_with_hook,
disk_offload,
dispatch_model,
init_empty_weights,
init_on_device,
load_checkpoint_and_dispatch,
)
from ... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import MutableSequence
class lowercase :
"""simple docstring"""
def __init__( self ,a_ ,a_ ) -> None:
if len(a_ ) != degree + 1:
raise ValueError(
""... | 362 |
'''simple docstring'''
from argparse import ArgumentParser
from .env import EnvironmentCommand
def snake_case_ ( )-> Union[str, Any]:
'''simple docstring'''
_UpperCAmelCase : Optional[int] = ArgumentParser("""Diffusers CLI tool""" , usage="""diffusers-... | 349 | 0 |
'''simple docstring'''
import io
import math
from typing import Dict, Optional, Union
import numpy as np
from huggingface_hub import hf_hub_download
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import convert_to_rgb, normalize, to_channel_dimension_format, ... | 363 |
'''simple docstring'''
import math
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ )-> int:
'''simple docstring'''
_UpperCAmelCase : str = len(lowerCAmelCase_ )
_UpperCAmelCase : List[str] = int(math.floor(math.sqrt(lowerC... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ = None , lowerCAmelCase_ = None )-> Tuple:
'''simple docstring'''
if start is None:
_UpperCAmelCase : Dict = 0
if e... | 364 |
'''simple docstring'''
import argparse
import copy
def snake_case_ ( lowerCAmelCase_ )-> Dict:
'''simple docstring'''
_UpperCAmelCase : Dict = {}
with open(lowerCAmelCase_ ) as f:
for line in f:
if line.split()[0] ... | 349 | 0 |
from typing import Dict, List, Optional
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
A_ : str = logging.get_logger(__name__)
A_ : str = {
"nielsr/canine-s": 2_0_4_8,
}
# Unicode defines 1,114,112 total “codepoints”
A... | 365 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass
@dataclass
class lowercase :
"""simple docstring"""
UpperCAmelCase = 42
UpperCAmelCase = 42
class ... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
class lowercase :
"""simple docstring"""
def __init__( self ,a_ ) -> None:
_UpperCAmelCase : Optional[int] = order
# a_{0} ... a_{k}
_UpperCAmelCase : Optional[Any] ... | 366 |
'''simple docstring'''
import argparse
from typing import List
import evaluate
import numpy as np
import torch
from datasets import DatasetDict, load_dataset
# New Code #
# We'll be using StratifiedKFold for this example
from sklearn.model_selection import StratifiedKFold
from torch.optim import AdamW
from ... | 349 | 0 |
'''simple docstring'''
from collections import defaultdict
from typing import Optional
from ..image_utils import load_image
from ..utils import (
add_end_docstrings,
is_torch_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if is_torch_available()... | 367 |
'''simple docstring'''
import argparse
import glob
import logging
import os
import time
from argparse import Namespace
import numpy as np
import torch
from lightning_base import BaseTransformer, add_generic_args, generic_train
from torch.utils.data import DataLoader, TensorDataset
from transformers import g... | 349 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A_ : Dict = logging.get_logger(__name__)
A_ : Optional[int] = {
"""facebook/dpr-ctx_encoder-single-nq-base""": (
"""https://huggingface.co/facebook/dp... | 368 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
A_ : List[Any] = logging.get_logger(__name__)
A_ : Union[str, Any] = ... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_atte... | 369 |
'''simple docstring'''
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available
if is_datasets_available():
import datasets
class ... | 349 | 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
... | 370 |
'''simple docstring'''
from math import atan, cos, radians, sin, tan
from .haversine_distance import haversine_distance
A_ : List[Any] = 637_8137.0
A_ : Dict = 635_6752.31_4245
A_ : int = 6_3_7_8_1_3_7
def snake_case_ ( lowerCAmelCase_ ,... | 349 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
A_ : Tuple = {
"""configuration_efficientnet""": [
"""EFFICIENTNET_PRETRAINE... | 371 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 100 , )-> float:
'''simple docstring'''
_UpperCAmelCase : str... | 349 | 0 |
'''simple docstring'''
import json
import os
import pickle
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch
import numpy as np
from datasets import Dataset
from transformers import is_faiss_available
from transformers.models.bart.configuration_bart import BartConfi... | 350 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def snake_case_ ( )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] ... | 349 | 0 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor
A_ : Tuple = logging.get_logger(__name__)
class lowercase ( __UpperCamelCase ):
"""simple docstring"""
def __init__( s... | 351 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ )-> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase_ , lowerCAmelCase_ ):
raise TypeError("""only integers accepted as input""" )
else:
_UpperCAmelCase : Dict ... | 349 | 0 |
'''simple docstring'''
import collections
import json
import math
import os
import re
import time
from fnmatch import fnmatch
from typing import Dict
import requests
from slack_sdk import WebClient
A_ : Optional[Any] = WebClient(token=os.environ["""CI_SLACK_BOT_TOKEN"""])
def sna... | 352 |
'''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
A_ : Dict = logging.get_logger(__... | 349 | 0 |
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
A_ : Optional[Any] = logging.get_logger(__name__)
A_... | 353 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 0 , lowerCAmelCase_ = 0 )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = right or len(lowerCAmelCase_ ) - 1
if left > right:... | 349 | 0 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testin... | 354 |
'''simple docstring'''
from datetime import datetime
import requests
def snake_case_ ( lowerCAmelCase_ )-> bytes:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = """https://downloadgram.net/wp-json/wppress/video-downloader/video?url="""
_Upp... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
import numpy as np
from numpy import floataa
from numpy.typing import NDArray
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , )-> list[float]:
'''simple docstrin... | 355 |
'''simple docstring'''
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from diffusers.pi... | 349 | 0 |
'''simple docstring'''
import csv
import tweepy
# Twitter API credentials
A_ : Optional[Any] = """"""
A_ : str = """"""
A_ : str = """"""
A_ : Tuple = """"""
def snake_case_ ( lowerCAmelCase_ )-> List[str]:
... | 356 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
A_ : str = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELA... | 349 | 0 |
'''simple docstring'''
from typing import List, Optional, Union
import numpy as np
import tensorflow as tf
from .utils import logging
A_ : List[Any] = logging.get_logger(__name__)
def snake_case_ ( lowerCAmelCase_ )-> Dict:
'''simple docstring'''
if is... | 357 |
'''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
A_ : Union[str, Any] = logging.get_logger(__name__)
A_ ... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
import time
from math import sqrt
# 1 for manhattan, 0 for euclidean
A_ : List[Any] = 0
A_ : Tuple = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstacles
[0,... | 358 |
'''simple docstring'''
import unittest
from knapsack import greedy_knapsack as kp
class lowercase ( unittest.TestCase ):
"""simple docstring"""
def _snake_case ( self ) -> Optional[Any]:
_UpperCAmelCase : Any = [10, 20, 30, 40, 50, 60]
... | 349 | 0 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ )-> bool:
'''simple docstring'''
if number < 0:
raise ValueError("""number must not be negative""" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod... | 359 |
'''simple docstring'''
from __future__ import annotations
import math
def snake_case_ ( lowerCAmelCase_ )-> list[int]:
'''simple docstring'''
if num <= 0:
_UpperCAmelCase : List[Any] = F'''{num}: Invalid input, please enter a positive integer.... | 349 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
UniSpeechSatConfig,
UniSpeechSatForAudioFrameClassification,
UniSpeechSatForSequenceClassification,
UniSpeechSatForXVector,
WavaVecaFeatureExtractor,
logging,
)
logging.set_verbo... | 360 |
'''simple docstring'''
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowercase ( _lowerCamelCase ):
"""simple docstring"""
de... | 349 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A_ : Tuple = logging.get_logger(__name__)
A_ : Tuple = {
"""vinvino02/glpn-kitti""": """https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json"""... | 361 |
'''simple docstring'''
A_ : Optional[Any] = """0.21.0"""
from .accelerator import Accelerator
from .big_modeling import (
cpu_offload,
cpu_offload_with_hook,
disk_offload,
dispatch_model,
init_empty_weights,
init_on_device,
load_checkpoint_and_dispatch,
)
from ... | 349 | 0 |
'''simple docstring'''
from typing import Dict, Iterable, 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,
... | 362 |
'''simple docstring'''
from argparse import ArgumentParser
from .env import EnvironmentCommand
def snake_case_ ( )-> Union[str, Any]:
'''simple docstring'''
_UpperCAmelCase : Optional[int] = ArgumentParser("""Diffusers CLI tool""" , usage="""diffusers-... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
class lowercase :
"""simple docstring"""
def __init__( self ,a_ ,a_ ) -> str:
_UpperCAmelCase ,_UpperCAmelCase : List[str] = text, pattern
_UpperCAmelCase ,_UpperCAmelCase ... | 363 |
'''simple docstring'''
import math
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ )-> int:
'''simple docstring'''
_UpperCAmelCase : str = len(lowerCAmelCase_ )
_UpperCAmelCase : List[str] = int(math.floor(math.sqrt(lowerC... | 349 | 0 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPImageProcessor, CLIPVisionConfig, CLIPVisionModel
from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEImgaImgPipeline
from diffusers.pipelines.shap_e import ShapERendere... | 364 |
'''simple docstring'''
import argparse
import copy
def snake_case_ ( lowerCAmelCase_ )-> Dict:
'''simple docstring'''
_UpperCAmelCase : Dict = {}
with open(lowerCAmelCase_ ) as f:
for line in f:
if line.split()[0] ... | 349 | 0 |
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
A_ : List[Any] = get_tes... | 365 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass
@dataclass
class lowercase :
"""simple docstring"""
UpperCAmelCase = 42
UpperCAmelCase = 42
class ... | 349 | 0 |
'''simple docstring'''
import tempfile
import torch
from diffusers import (
DEISMultistepScheduler,
DPMSolverMultistepScheduler,
DPMSolverSinglestepScheduler,
UniPCMultistepScheduler,
)
from .test_schedulers import SchedulerCommonTest
class lowercase ( _lowerCamelCase ):
""... | 366 |
'''simple docstring'''
import argparse
from typing import List
import evaluate
import numpy as np
import torch
from datasets import DatasetDict, load_dataset
# New Code #
# We'll be using StratifiedKFold for this example
from sklearn.model_selection import StratifiedKFold
from torch.optim import AdamW
from ... | 349 | 0 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import DistilBertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_available():
impo... | 367 |
'''simple docstring'''
import argparse
import glob
import logging
import os
import time
from argparse import Namespace
import numpy as np
import torch
from lightning_base import BaseTransformer, add_generic_args, generic_train
from torch.utils.data import DataLoader, TensorDataset
from transformers import g... | 349 | 0 |
'''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, PreTrainedTokenizer
from ...utils import logging
A_ : Any = logging.get_logger(__name__)
A_ ... | 368 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
A_ : List[Any] = logging.get_logger(__name__)
A_ : Union[str, Any] = ... | 349 | 0 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 0 , lowerCAmelCase_ = 0 )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = right or len(a__ ) - 1
if left > right:
... | 369 |
'''simple docstring'''
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available
if is_datasets_available():
import datasets
class ... | 349 | 0 |
'''simple docstring'''
from math import log
from scipy.constants import Boltzmann, physical_constants
A_ : List[Any] = 3_0_0 # TEMPERATURE (unit = K)
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , )-> float:
'''simple do... | 370 |
'''simple docstring'''
from math import atan, cos, radians, sin, tan
from .haversine_distance import haversine_distance
A_ : List[Any] = 637_8137.0
A_ : Dict = 635_6752.31_4245
A_ : int = 6_3_7_8_1_3_7
def snake_case_ ( lowerCAmelCase_ ,... | 349 | 0 |
'''simple docstring'''
import math
def snake_case_ ( )-> Any:
'''simple docstring'''
_UpperCAmelCase : List[str] = input("""Enter message: """ )
_UpperCAmelCase : Tuple = int(input(F'''Enter key [2-{len(lowerCAmelCase_ ) - 1}]: ''' ... | 371 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 100 , )-> float:
'''simple docstring'''
_UpperCAmelCase : str... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
A_ : List[str] = 1_0
def snake_case_ ( lowerCAmelCase_ )-> str:
'''simple docstring'''
_UpperCAmelCase : Dict = 1
_UpperCAmelCase : Optional[int] = max(lo... | 350 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def snake_case_ ( )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] ... | 349 | 0 |
'''simple docstring'''
from collections import Counter
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
A_ : List[Any] = datasets.load_iris()
A_ : List[str] = np.array(data["""data"""])
A_ : List[Any] ... | 351 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ )-> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase_ , lowerCAmelCase_ ):
raise TypeError("""only integers accepted as input""" )
else:
_UpperCAmelCase : Dict ... | 349 | 0 |
'''simple docstring'''
import csv
import tweepy
# Twitter API credentials
A_ : List[Any] = ''
A_ : Union[str, Any] = ''
A_ : List[Any] = ''
A_ : Optional[int] = ''
def snake_case_ ( lowerCAmelCase_ )-> Optional[... | 352 |
'''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
A_ : Dict = logging.get_logger(__... | 349 | 0 |
'''simple docstring'''
from math import factorial
def snake_case_ ( lowerCAmelCase_ = 20 )-> Dict:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = 2 * n # middle entry of odd rows starting at row 3 is the solution for n = 1,
# 2, 3,...
... | 353 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 0 , lowerCAmelCase_ = 0 )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = right or len(lowerCAmelCase_ ) - 1
if left > right:... | 349 | 0 |
'''simple docstring'''
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConfig, GPTaConfig
... | 354 |
'''simple docstring'''
from datetime import datetime
import requests
def snake_case_ ( lowerCAmelCase_ )-> bytes:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = """https://downloadgram.net/wp-json/wppress/video-downloader/video?url="""
_Upp... | 349 | 0 |
'''simple docstring'''
A_ : Union[str, Any] = 8.314_4598
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ )-> float:
'''simple docstring'''
if temperature < 0:
raise Exception("""Temperature cannot be less than 0 K""" )
if mo... | 355 |
'''simple docstring'''
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from diffusers.pi... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
class lowercase :
"""simple docstring"""
def __init__( self ,a_ ,a_ ) -> List[Any]:
_UpperCAmelCase ,_UpperCAmelCase : List[Any] = text, pattern
_UpperCAmelCase ,_UpperCAmel... | 356 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
A_ : str = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELA... | 349 | 0 |
'''simple docstring'''
import argparse
from tax import checkpoints
from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ )-> Any:
'''simple docstring'''
_UpperCAmelCase : str ... | 357 |
'''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
A_ : Union[str, Any] = logging.get_logger(__name__)
A_ ... | 349 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
A_ : Optional[int] = {'''configuration_wavlm''': ['''WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''WavLMConfig''']}
try:
if not is_torch_availabl... | 358 |
'''simple docstring'''
import unittest
from knapsack import greedy_knapsack as kp
class lowercase ( unittest.TestCase ):
"""simple docstring"""
def _snake_case ( self ) -> Optional[Any]:
_UpperCAmelCase : Any = [10, 20, 30, 40, 50, 60]
... | 349 | 0 |
'''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, PreTrainedTokenizer
from ...utils import logging
A_ : Tuple = logging.get_logger(__name__)
A_ : ... | 359 |
'''simple docstring'''
from __future__ import annotations
import math
def snake_case_ ( lowerCAmelCase_ )-> list[int]:
'''simple docstring'''
if num <= 0:
_UpperCAmelCase : List[Any] = F'''{num}: Invalid input, please enter a positive integer.... | 349 | 0 |
'''simple docstring'''
from math import acos, sin
from typing import List, Tuple, Union
import numpy as np
import torch
from PIL import Image
from ...models import AutoencoderKL, UNetaDConditionModel
from ...schedulers import DDIMScheduler, DDPMScheduler
from ...utils import randn_tensor... | 360 |
'''simple docstring'''
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowercase ( _lowerCamelCase ):
"""simple docstring"""
de... | 349 | 0 |
'''simple docstring'''
import inspect
import os
import sys
import unittest
import accelerate
from accelerate.test_utils import execute_subprocess_async, require_tpu
class lowercase ( unittest.TestCase ):
"""simple docstring"""
def _snake_case ( self ) -> Optional[Any]... | 361 |
'''simple docstring'''
A_ : Optional[Any] = """0.21.0"""
from .accelerator import Accelerator
from .big_modeling import (
cpu_offload,
cpu_offload_with_hook,
disk_offload,
dispatch_model,
init_empty_weights,
init_on_device,
load_checkpoint_and_dispatch,
)
from ... | 349 | 0 |
'''simple docstring'''
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class lowercase ( unittest.TestCase ):
"""simple docstring"""
def _snake_case ( self ) -> str:
_UpperCAmelCase : Tuple ... | 362 |
'''simple docstring'''
from argparse import ArgumentParser
from .env import EnvironmentCommand
def snake_case_ ( )-> Union[str, Any]:
'''simple docstring'''
_UpperCAmelCase : Optional[int] = ArgumentParser("""Diffusers CLI tool""" , usage="""diffusers-... | 349 | 0 |
'''simple docstring'''
import numpy as np
from matplotlib import pyplot as plt
from sklearn.datasets import load_iris
from sklearn.metrics import ConfusionMatrixDisplay
from sklearn.model_selection import train_test_split
from xgboost import XGBClassifier
def snake_case_ ( lowerCAmelCase_ )-> tup... | 363 |
'''simple docstring'''
import math
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ )-> int:
'''simple docstring'''
_UpperCAmelCase : str = len(lowerCAmelCase_ )
_UpperCAmelCase : List[str] = int(math.floor(math.sqrt(lowerC... | 349 | 0 |
'''simple docstring'''
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import rescale, resize, to_channel_dimension_format
from ...image_utils import (
ChannelDimension,
Im... | 364 |
'''simple docstring'''
import argparse
import copy
def snake_case_ ( lowerCAmelCase_ )-> Dict:
'''simple docstring'''
_UpperCAmelCase : Dict = {}
with open(lowerCAmelCase_ ) as f:
for line in f:
if line.split()[0] ... | 349 | 0 |
import itertools
import os
import random
import tempfile
import unittest
import numpy as np
from transformers import TvltFeatureExtractor, is_datasets_available
from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_torchaudio
from transformers.utils.import_utils import ... | 365 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass
@dataclass
class lowercase :
"""simple docstring"""
UpperCAmelCase = 42
UpperCAmelCase = 42
class ... | 349 | 0 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import add_start_docstrings
A_ : Dict = r'\n [`RagConfig`] stores the configuration of a *RagModel*. Configuration objects inherit from [`PretrainedConfig`] and\n can be used to co... | 366 |
'''simple docstring'''
import argparse
from typing import List
import evaluate
import numpy as np
import torch
from datasets import DatasetDict, load_dataset
# New Code #
# We'll be using StratifiedKFold for this example
from sklearn.model_selection import StratifiedKFold
from torch.optim import AdamW
from ... | 349 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available
A_ : int = {
"""configuration_longt5""": ["""LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LongT5Config""", """LongT5OnnxConf... | 367 |
'''simple docstring'''
import argparse
import glob
import logging
import os
import time
from argparse import Namespace
import numpy as np
import torch
from lightning_base import BaseTransformer, add_generic_args, generic_train
from torch.utils.data import DataLoader, TensorDataset
from transformers import g... | 349 | 0 |
'''simple docstring'''
A_ : Dict = {
"a": "AAAAA",
"b": "AAAAB",
"c": "AAABA",
"d": "AAABB",
"e": "AABAA",
"f": "AABAB",
"g": "AABBA",
"h": "AABBB",
"i": "ABAAA",
"j": "BBBAA",
"k": "ABAAB",
"l": "ABABA",
"m": "ABABB",
"n": "ABBAA",
... | 368 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
A_ : List[Any] = logging.get_logger(__name__)
A_ : Union[str, Any] = ... | 349 | 0 |
'''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 Mode... | 369 |
'''simple docstring'''
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available
if is_datasets_available():
import datasets
class ... | 349 | 0 |
'''simple docstring'''
import argparse
import pickle
import numpy as np
import torch
from torch import nn
from transformers import ReformerConfig, ReformerModelWithLMHead
from transformers.utils import logging
logging.set_verbosity_info()
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase... | 370 |
'''simple docstring'''
from math import atan, cos, radians, sin, tan
from .haversine_distance import haversine_distance
A_ : List[Any] = 637_8137.0
A_ : Dict = 635_6752.31_4245
A_ : int = 6_3_7_8_1_3_7
def snake_case_ ( lowerCAmelCase_ ,... | 349 | 0 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | 371 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 100 , )-> float:
'''simple docstring'''
_UpperCAmelCase : str... | 349 | 0 |
'''simple docstring'''
import numpy as np
def snake_case_ ( lowerCAmelCase_ )-> Any:
'''simple docstring'''
return 1 / (1 + np.exp(-vector ))
def snake_case_ ( lowerCAmelCase_ )-> List[Any]:
'''simple docstring'''
return vector * sigmoid(1.7... | 350 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def snake_case_ ( )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] ... | 349 | 0 |
'''simple docstring'''
import unittest
from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow
if is_flax_available():
import jax.numpy as jnp
from transformers import FlaxXLMRobertaModel
@requi... | 351 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ )-> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase_ , lowerCAmelCase_ ):
raise TypeError("""only integers accepted as input""" )
else:
_UpperCAmelCase : Dict ... | 349 | 0 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ )-> int:
'''simple docstring'''
_UpperCAmelCase : Tuple = []
_UpperCAmelCase : Optional[int] = []
_UpperCAmelCase : Dict = {
'''^''': 3,
... | 352 |
'''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
A_ : Dict = logging.get_logger(__... | 349 | 0 |
'''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_squeezebert import SqueezeBertTokenizer
A_ : Dict = logging.get_... | 353 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 0 , lowerCAmelCase_ = 0 )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = right or len(lowerCAmelCase_ ) - 1
if left > right:... | 349 | 0 |
'''simple docstring'''
import os
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_manager import xopen, xsplitext
from ..tabl... | 354 |
'''simple docstring'''
from datetime import datetime
import requests
def snake_case_ ( lowerCAmelCase_ )-> bytes:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = """https://downloadgram.net/wp-json/wppress/video-downloader/video?url="""
_Upp... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , )-> Union[str, Any]:
'''simple docstring'''
if (electron_conc, hole_conc, intrinsic_conc).count(0 ) != 1:
raise Va... | 355 |
'''simple docstring'''
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from diffusers.pi... | 349 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
A_ : Optional[Any] = {
'configuration_bigbird_pegasus': [
'BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP',
'BigBirdPegasusConf... | 356 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
A_ : str = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELA... | 349 | 0 |
'''simple docstring'''
import pytest
import datasets.config
from datasets.utils.info_utils import is_small_dataset
@pytest.mark.parametrize("""dataset_size""" , [None, 400 * 2**20, 600 * 2**20] )
@pytest.mark.parametrize("""input_in_memory_max_size""" , ["""default""", 0, 100 * 2**20, 900 * ... | 357 |
'''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
A_ : Union[str, Any] = logging.get_logger(__name__)
A_ ... | 349 | 0 |
'''simple docstring'''
from collections.abc import Sequence
from queue import Queue
class lowercase :
"""simple docstring"""
def __init__( self ,a_ ,a_ ,a_ ,a_=None ,a_=None ) -> Tuple:
_UpperCAmelCase : List[str] = start
_UpperCAmelCas... | 358 |
'''simple docstring'''
import unittest
from knapsack import greedy_knapsack as kp
class lowercase ( unittest.TestCase ):
"""simple docstring"""
def _snake_case ( self ) -> Optional[Any]:
_UpperCAmelCase : Any = [10, 20, 30, 40, 50, 60]
... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
def snake_case_ ( lowerCAmelCase_ )-> Union[str, Any]:
'''simple docstring'''
_UpperCAmelCase : List[str] = 2
_UpperCAmelCase : Union[str, Any] = []
while i * i <= n:
... | 359 |
'''simple docstring'''
from __future__ import annotations
import math
def snake_case_ ( lowerCAmelCase_ )-> list[int]:
'''simple docstring'''
if num <= 0:
_UpperCAmelCase : List[Any] = F'''{num}: Invalid input, please enter a positive integer.... | 349 | 0 |
'''simple docstring'''
import copy
from typing import Any, Dict, List, Optional, Union
import numpy as np
from ...audio_utils import mel_filter_bank, spectrogram, window_function
from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils impo... | 360 |
'''simple docstring'''
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowercase ( _lowerCamelCase ):
"""simple docstring"""
de... | 349 | 0 |
'''simple docstring'''
import argparse
import tensorflow as tf
import torch
from transformers import BertConfig, BertForMaskedLM
from transformers.models.bert.modeling_bert import (
BertIntermediate,
BertLayer,
BertOutput,
BertPooler,
BertSelfAttention,
BertSelfOutput,
)
from transfo... | 361 |
'''simple docstring'''
A_ : Optional[Any] = """0.21.0"""
from .accelerator import Accelerator
from .big_modeling import (
cpu_offload,
cpu_offload_with_hook,
disk_offload,
dispatch_model,
init_empty_weights,
init_on_device,
load_checkpoint_and_dispatch,
)
from ... | 349 | 0 |
'''simple docstring'''
import gc
import unittest
from transformers import MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, FillMaskPipeline, pipeline
from transformers.pipelines import PipelineException
from transformers.testing_utils import (
is_pipeline_test,
is_torch_available,
nested_... | 362 |
'''simple docstring'''
from argparse import ArgumentParser
from .env import EnvironmentCommand
def snake_case_ ( )-> Union[str, Any]:
'''simple docstring'''
_UpperCAmelCase : Optional[int] = ArgumentParser("""Diffusers CLI tool""" , usage="""diffusers-... | 349 | 0 |
'''simple docstring'''
import os
import unittest
from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
VOCAB_FILES_NAMES,
BasicTokenizer,
WordpieceTokenizer,
_is_control,
_is_punctuation,
_is_whitespace,
)
from t... | 363 |
'''simple docstring'''
import math
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ )-> int:
'''simple docstring'''
_UpperCAmelCase : str = len(lowerCAmelCase_ )
_UpperCAmelCase : List[str] = int(math.floor(math.sqrt(lowerC... | 349 | 0 |
'''simple docstring'''
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from f... | 364 |
'''simple docstring'''
import argparse
import copy
def snake_case_ ( lowerCAmelCase_ )-> Dict:
'''simple docstring'''
_UpperCAmelCase : Dict = {}
with open(lowerCAmelCase_ ) as f:
for line in f:
if line.split()[0] ... | 349 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_torch_available,
is_vision_available,
)
A_ : Optional[int] = {"""configuration_deit""": ["""DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DeiTConfig""", """... | 365 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass
@dataclass
class lowercase :
"""simple docstring"""
UpperCAmelCase = 42
UpperCAmelCase = 42
class ... | 349 | 0 |
'''simple docstring'''
import math
from collections.abc import Iterator
from itertools import takewhile
def snake_case_ ( lowerCAmelCase_ )-> bool:
'''simple docstring'''
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or... | 366 |
'''simple docstring'''
import argparse
from typing import List
import evaluate
import numpy as np
import torch
from datasets import DatasetDict, load_dataset
# New Code #
# We'll be using StratifiedKFold for this example
from sklearn.model_selection import StratifiedKFold
from torch.optim import AdamW
from ... | 349 | 0 |
'''simple docstring'''
import os
from itertools import chain
from random import randrange, shuffle
import pytest
from .sola import PokerHand
A_ : 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""",
... | 367 |
'''simple docstring'''
import argparse
import glob
import logging
import os
import time
from argparse import Namespace
import numpy as np
import torch
from lightning_base import BaseTransformer, add_generic_args, generic_train
from torch.utils.data import DataLoader, TensorDataset
from transformers import g... | 349 | 0 |
'''simple docstring'''
A_ : int = [
9_9_9,
8_0_0,
7_9_9,
6_0_0,
5_9_9,
5_0_0,
4_0_0,
3_9_9,
3_7_7,
3_5_5,
3_3_3,
3_1_1,
2_8_8,
2_6_6,
2_4_4,
2_2_2,
2_0_0,
1_9_9,
1_7_7,
1_5_5,
1_3_3,
1_1_1,
8_8,
... | 368 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
A_ : List[Any] = logging.get_logger(__name__)
A_ : Union[str, Any] = ... | 349 | 0 |
'''simple docstring'''
from __future__ import annotations
A_ : Dict = [-1_0, -5, 0, 5, 5.1, 1_1, 1_3, 2_1, 3, 4, -2_1, -1_0, -5, -1, 0]
A_ : Any = [-5, 0, 5, 5.1, 1_1, 1_3, 2_1, -1, 4, -1, -1_0, -5, -1, 0, -1]
def snake_case_ ( lowerCAmelCase_ )-> list[flo... | 369 |
'''simple docstring'''
from transformers import BertTokenizer, EncoderDecoderModel, SeqaSeqTrainer, SeqaSeqTrainingArguments
from transformers.testing_utils import TestCasePlus, require_torch, slow
from transformers.utils import is_datasets_available
if is_datasets_available():
import datasets
class ... | 349 | 0 |
'''simple docstring'''
import json
import os
import re
import unittest
from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_comm... | 370 |
'''simple docstring'''
from math import atan, cos, radians, sin, tan
from .haversine_distance import haversine_distance
A_ : List[Any] = 637_8137.0
A_ : Dict = 635_6752.31_4245
A_ : int = 6_3_7_8_1_3_7
def snake_case_ ( lowerCAmelCase_ ,... | 349 | 0 |
'''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 lowercase ( unittest.TestCase ):
... | 371 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 100 , )-> float:
'''simple docstring'''
_UpperCAmelCase : str... | 349 | 0 |
'''simple docstring'''
import logging
import os
from .state import PartialState
class lowercase ( logging.LoggerAdapter ):
"""simple docstring"""
@staticmethod
def _snake_case ( a_ ) -> Any:
_UpperCAmelCase : Optional[int] = PartialState()
... | 350 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def snake_case_ ( )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] ... | 349 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
StableDiffusionSAGPipeline,
UNetaDConditionModel,
)
from diffusers.utils import slow, t... | 351 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ )-> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase_ , lowerCAmelCase_ ):
raise TypeError("""only integers accepted as input""" )
else:
_UpperCAmelCase : Dict ... | 349 | 0 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional
import numpy as np
import torch
import torch.nn as nn
from ..utils import BaseOutput, is_torch_version, randn_tensor
from .attention_processor import SpatialNorm
from .unet_ad_blocks import UNetMidBlockaD, get_down_block, g... | 352 |
'''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
A_ : Dict = logging.get_logger(__... | 349 | 0 |
'''simple docstring'''
import random
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ )-> Tuple:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = a[left_index]
_UpperCAmelCase : Optional[int] = ... | 353 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 0 , lowerCAmelCase_ = 0 )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = right or len(lowerCAmelCase_ ) - 1
if left > right:... | 349 | 0 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ = 10**9 )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = 1
_UpperCAmelCase : Union[str, Any] = 2
_UpperCAmelCase : Union[str, Any] = 0
... | 354 |
'''simple docstring'''
from datetime import datetime
import requests
def snake_case_ ( lowerCAmelCase_ )-> bytes:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = """https://downloadgram.net/wp-json/wppress/video-downloader/video?url="""
_Upp... | 349 | 0 |
'''simple docstring'''
A_ : List[str] = [0, 2, 4, 6, 8]
A_ : List[Any] = [1, 3, 5, 7, 9]
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ )-> int:
'''simple docstring'''
if remain... | 355 |
'''simple docstring'''
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from diffusers.pi... | 349 | 0 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ )-> str:
'''simple docstring'''
_UpperCAmelCase : Optional[int] = int(lowerCAmelCase_ )
if decimal in (0, 1): # Exit cases for the recursion
return str(lowerCAmelCase_ )
_Upp... | 356 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
A_ : str = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELA... | 349 | 0 |
'''simple docstring'''
import doctest
import sys
import warnings
from os.path import abspath, dirname, join
import _pytest
from transformers.testing_utils import HfDoctestModule, HfDocTestParser
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' whe... | 357 |
'''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
A_ : Union[str, Any] = logging.get_logger(__name__)
A_ ... | 349 | 0 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def snake_case_ ( lowerCAmelCase_ = "AAPL" )-> str:
'''simple docstring'''
_UpperCAmelCase : Any = F'''https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'''
_UpperCAmelCase : ... | 358 |
'''simple docstring'''
import unittest
from knapsack import greedy_knapsack as kp
class lowercase ( unittest.TestCase ):
"""simple docstring"""
def _snake_case ( self ) -> Optional[Any]:
_UpperCAmelCase : Any = [10, 20, 30, 40, 50, 60]
... | 349 | 0 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 0 , lowerCAmelCase_ = 0 )-> int:
'''simple docstring'''
_UpperCAmelCase : Optional[Any] = right or len(lowerCAmelCase_ ) - 1
if left > right:... | 359 |
'''simple docstring'''
from __future__ import annotations
import math
def snake_case_ ( lowerCAmelCase_ )-> list[int]:
'''simple docstring'''
if num <= 0:
_UpperCAmelCase : List[Any] = F'''{num}: Invalid input, please enter a positive integer.... | 349 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_det... | 360 |
'''simple docstring'''
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowercase ( _lowerCamelCase ):
"""simple docstring"""
de... | 349 | 0 |
'''simple docstring'''
import json
import os
import unittest
from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import ca... | 361 |
'''simple docstring'''
A_ : Optional[Any] = """0.21.0"""
from .accelerator import Accelerator
from .big_modeling import (
cpu_offload,
cpu_offload_with_hook,
disk_offload,
dispatch_model,
init_empty_weights,
init_on_device,
load_checkpoint_and_dispatch,
)
from ... | 349 | 0 |
'''simple docstring'''
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def snake_case_ ( lowerCAmelCase_ )-> Optional[Any]:
'''simple docstring'''
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_c... | 362 |
'''simple docstring'''
from argparse import ArgumentParser
from .env import EnvironmentCommand
def snake_case_ ( )-> Union[str, Any]:
'''simple docstring'''
_UpperCAmelCase : Optional[int] = ArgumentParser("""Diffusers CLI tool""" , usage="""diffusers-... | 349 | 0 |
'''simple docstring'''
import argparse
import json
import os
import tensorstore as ts
import torch
from flax import serialization
from flax.traverse_util import flatten_dict, unflatten_dict
from tensorflow.io import gfile
from transformers.modeling_utils import dtype_byte_size
from transformers.models.switc... | 363 |
'''simple docstring'''
import math
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ )-> int:
'''simple docstring'''
_UpperCAmelCase : str = len(lowerCAmelCase_ )
_UpperCAmelCase : List[str] = int(math.floor(math.sqrt(lowerC... | 349 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A_ : Union[str, Any] = logging.get_logger(__name__)
A_ : int = {
"""microsoft/trocr-base-handwritten""": (
"""https://huggingface.co/microsoft/trocr-bas... | 364 |
'''simple docstring'''
import argparse
import copy
def snake_case_ ( lowerCAmelCase_ )-> Dict:
'''simple docstring'''
_UpperCAmelCase : Dict = {}
with open(lowerCAmelCase_ ) as f:
for line in f:
if line.split()[0] ... | 349 | 0 |
import math
import qiskit
def snake_case_ ( lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 )-> qiskit.result.counts.Counts:
'''simple docstring'''
if (
isinstance(lowerCAmelCase_ , lowerCAmelCase_ )
or isinstance(lowerCAmel... | 365 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass
@dataclass
class lowercase :
"""simple docstring"""
UpperCAmelCase = 42
UpperCAmelCase = 42
class ... | 349 | 0 |
'''simple docstring'''
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class lowercase ( _lowerCamelCase ):
"""simple docstring"""
de... | 366 |
'''simple docstring'''
import argparse
from typing import List
import evaluate
import numpy as np
import torch
from datasets import DatasetDict, load_dataset
# New Code #
# We'll be using StratifiedKFold for this example
from sklearn.model_selection import StratifiedKFold
from torch.optim import AdamW
from ... | 349 | 0 |
'''simple docstring'''
def snake_case_ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_=False )-> Optional[Any]:
'''simple docstring'''
if isinstance(lowerCAmelCase_ , lowerCAmelCase_ ) and isinstance(lowerCAmelCase_ , lowerCAmelCase_ ):
_UpperCAmelCase : ... | 367 |
'''simple docstring'''
import argparse
import glob
import logging
import os
import time
from argparse import Namespace
import numpy as np
import torch
from lightning_base import BaseTransformer, add_generic_args, generic_train
from torch.utils.data import DataLoader, TensorDataset
from transformers import g... | 349 | 0 |
'''simple docstring'''
import torch
from diffusers import DDPMParallelScheduler
from .test_schedulers import SchedulerCommonTest
class lowercase ( _lowerCamelCase ):
"""simple docstring"""
UpperCAmelCase = (DDPMParallelScheduler,)
def _snake_case ( self ,**a_... | 368 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
A_ : List[Any] = logging.get_logger(__name__)
A_ : Union[str, Any] = ... | 349 | 0 |
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