code stringlengths 81 54k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
'''simple docstring'''
import copy
import tempfile
import unittest
from huggingface_hub import HfFolder, delete_repo
from parameterized import parameterized
from requests.exceptions import HTTPError
from transformers import AutoConfig, GenerationConfig
from transformers.testing_utils i... | 719 |
'''simple docstring'''
from math import log
from scipy.constants import Boltzmann, physical_constants
lowerCAmelCase__ = 300 # TEMPERATURE (unit = K)
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_ , ... | 6 | 0 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
# Register SEW's fairseq modules
from sew_asapp import tasks # noqa: F401
from transformers import (
SEWConfig,
SEWForCTC,
SEWModel,
Wava... | 720 |
'''simple docstring'''
import logging
import math
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union
import torch
from .tensor_utils import tensor_tree_map, tree_map
def __UpperCAmelCase ( lowe... | 6 | 0 |
'''simple docstring'''
import argparse
import os
import re
lowerCAmelCase__ = 'src/transformers'
# Pattern that looks at the indentation in a line.
lowerCAmelCase__ = re.compile(R'^(\s*)\S')
# Pattern that matches `"key":" and puts `key` in group 0.
lowerC... | 721 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_uti... | 6 | 0 |
'''simple docstring'''
from math import isqrt
def __UpperCAmelCase ( lowerCamelCase_) -> bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(_SCREAMING_SNAKE_CASE) + 1))
def __UpperCAmelCase ( lowerCamelCase_ = 10**... | 700 |
'''simple docstring'''
from typing import Union
import fire
import torch
from tqdm import tqdm
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ = "cpu" , lowerCamelCase_ = None) -> None:
UpperCamelCase__ : List[Any] ... | 6 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
lowerCAmelCase__ = {
'configuration_perceiver': ['PE... | 701 |
'''simple docstring'''
import warnings
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__ = loggi... | 6 | 0 |
'''simple docstring'''
from __future__ import annotations
import random
import unittest
from transformers import TransfoXLConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_comm... | 702 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_) -> list[str]:
return [sentence[i : i + ngram_size] for i in range(len(lowerCamelCase_) - ngram_size + 1)]
if __name__ == "__main__":
from doctest import testmod
testmod(... | 6 | 0 |
'''simple docstring'''
from itertools import permutations
def __UpperCAmelCase ( lowerCamelCase_) -> Dict:
if num[3] % 2 != 0:
return False
if (num[2] + num[3] + num[4]) % 3 != 0:
return False
if num[5] % 5 != 0:
return Fa... | 703 |
'''simple docstring'''
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def __UpperCAmelCase ( lowerCamelCase_) -> float:
return np.dot(lowerCamelCase_ , lowerCamelCase_)
cl... | 6 | 0 |
import unittest
from transformers import is_vision_available
from transformers.pipelines import pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
require_tf,
require_torch,
require_vision,
slow,
)
from .test_pipelines_common import ... | 704 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcesso... | 6 | 0 |
'''simple docstring'''
import argparse
import numpy as np
import torch
from transformers import SpeechTaHifiGan, SpeechTaHifiGanConfig, logging
logging.set_verbosity_info()
lowerCAmelCase__ = logging.get_logger('transformers.models.speecht5')
def __Uppe... | 705 |
'''simple docstring'''
import inspect
import math
import tempfile
import unittest
import numpy as np
from transformers import ViTMAEConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_a... | 6 | 0 |
'''simple docstring'''
from __future__ import annotations
lowerCAmelCase__ = 'Muhammad Umer Farooq'
lowerCAmelCase__ = 'MIT'
lowerCAmelCase__ = '1.0.0'
lowerCAmelCase__ = 'Muhammad Umer Farooq'
lowerCAmelCase__ = 'contac... | 706 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class __lowercase (metaclass=__lowerCamelCase ):
_lowerCamelCase = ['''torch''', '''scipy''']
def __init__( self : List[Any] , *UpperCAmelCase_ : Any ... | 6 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_) -> int:
if not isinstance(__UpperCamelCase , __UpperCamelCase):
raise TypeError('only integers accepted as input')
else:
UpperCamelCase__ : List[str] = str(abs(__UpperCam... | 707 |
'''simple docstring'''
class __lowercase :
def __init__( self : List[str] , UpperCAmelCase_ : str = "" , UpperCAmelCase_ : bool = False):
# Mapping from the first character of the prefix of the node
UpperCamelCase__ : dict[str, Radi... | 6 | 0 |
'''simple docstring'''
import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
import datasets
import datasets.config
@pytest.fixture(scope='session')
def __UpperCAmelCase ... | 708 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import TransformeraDModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
from diffusers.pipelines.vq_diffusion.pipel... | 6 | 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
lowerCAmelCase__ = logging.get_lo... | 709 |
'''simple docstring'''
import numpy as np
from PIL import Image
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_) -> np.ndarray:
UpperCamelCase__ : List[Any] = np.array(lowerCamelCase_)
if arr.s... | 6 | 0 |
from __future__ import annotations
import math
import random
from typing import Any
class __lowercase :
def __init__( self : List[Any]):
UpperCamelCase__ : list[Any] = []
UpperCamelCase__ : int = 0
UpperCamelCase__ ... | 710 |
'''simple docstring'''
from __future__ import annotations
class __lowercase :
def __init__( self : Union[str, Any] , UpperCAmelCase_ : list[list[int]]):
UpperCamelCase__ : int = TypeError(
'Matrices must be formed fro... | 6 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import (
UniSpeechSatConfig,
UniSpeechSatForAudioFrameClassification,
UniSpeechSatForSequenceClassification,
UniSpeechSatForXVector,
WavaVecaFeatureExtractor,
logging,
)
logging.set_ver... | 711 |
'''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.deepfloy... | 6 | 0 |
'''simple docstring'''
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class __lowercase (_A ):
_lowerCamelCase = ''''''
_lowerCamelCase ... | 712 |
'''simple docstring'''
import os
import random
import sys
from . import cryptomath_module as cryptomath
from . import rabin_miller
lowerCAmelCase__ = 3
def __UpperCAmelCase ( lowerCamelCase_) -> int:
print('Generating primitive root o... | 6 | 0 |
'''simple docstring'''
import unittest
from transformers import is_vision_available
from transformers.pipelines import pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
require_tf,
require_torch,
require_vision,
slow,
)
from .t... | 713 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
UniSpeechConfig,
UniSpeechForCTC,
UniSpeechForPreTraining,
WavaVecaFeatureExtractor,
WavaVecaPhonemeCTCTokeniz... | 6 | 0 |
'''simple docstring'''
import inspect
import unittest
from transformers import MobileViTConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_con... | 714 |
'''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, UNetaDConditionM... | 6 | 0 |
'''simple docstring'''
import argparse
import intel_extension_for_pytorch as ipex
import torch
from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
lowerCAmelCase__ = argparse.ArgumentParser('Stable Diffusion script with intel optimization', add_hel... | 715 |
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transform... | 6 | 0 |
'''simple docstring'''
import sys
import warnings
from os.path import abspath, dirname, join
# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCAmelCase__ = abspath(join(dirname(... | 716 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __UpperCAmelCase ( lowerCamelCase_ = "AAPL") -> str:
UpperCamelCase__ : str = f'https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'
UpperCamelCase__ : Opt... | 6 | 0 |
'''simple docstring'''
import json
import os
import unittest
from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
VOCAB_FILES_NAMES,
BlenderbotSmallTokenizer,
)
from ...test_tokenization_common import TokenizerTesterMixin
class _... | 717 |
'''simple docstring'''
import unittest
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
if is_torch_available():
import torch
from transformers import AutoModelForImageClassif... | 6 | 0 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_yolos import YolosImageProcessor
lowerCAmelCase__ = logging.get_logger(__name__)
class __lowercase (__snake_case ):
def __init__( self : List... | 718 |
'''simple docstring'''
import argparse
import struct
import unittest
class __lowercase :
def __init__( self : Tuple , UpperCAmelCase_ : bytes):
UpperCamelCase__ : Dict = data
# Initialize hash values
UpperCamelCas... | 6 | 0 |
'''simple docstring'''
import timeit
import numpy as np
import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD
def __UpperCAmelCase ( lowerCamelCase_) -> List[str]:
def wrapper(*lowerCamelCase_ ... | 719 |
'''simple docstring'''
from math import log
from scipy.constants import Boltzmann, physical_constants
lowerCAmelCase__ = 300 # TEMPERATURE (unit = K)
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_ , ... | 6 | 0 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class __lowercase :
_lowerCamelCase = 42
_lowerCamelCa... | 720 |
'''simple docstring'''
import logging
import math
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union
import torch
from .tensor_utils import tensor_tree_map, tree_map
def __UpperCAmelCase ( lowe... | 6 | 0 |
'''simple docstring'''
import argparse
from pathlib import Path
import fairseq
import torch
from fairseq.models.xmod import XMODModel as FairseqXmodModel
from packaging import version
from transformers import XmodConfig, XmodForMaskedLM, XmodForSequenceClassification
from transformers.... | 721 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_uti... | 6 | 0 |
'''simple docstring'''
from __future__ import annotations
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_) -> str: # noqa: E741
while r - l > 1:
UpperCamelCase__ : List[str] = ... | 700 |
'''simple docstring'''
from typing import Union
import fire
import torch
from tqdm import tqdm
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ = "cpu" , lowerCamelCase_ = None) -> None:
UpperCamelCase__ : List[Any] ... | 6 | 0 |
'''simple docstring'''
from itertools import permutations
def __UpperCAmelCase ( lowerCamelCase_) -> bool:
if num[3] % 2 != 0:
return False
if (num[2] + num[3] + num[4]) % 3 != 0:
return False
if num[5] % 5 != 0:
return False
... | 701 |
'''simple docstring'''
import warnings
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__ = loggi... | 6 | 0 |
'''simple docstring'''
import math
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_) -> int:
UpperCamelCase__ : Optional[Any] = len(SCREAMING_SNAKE_CASE_)
UpperCamelCase__ : Union[str, Any] = int(math.floor(... | 702 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_) -> list[str]:
return [sentence[i : i + ngram_size] for i in range(len(lowerCamelCase_) - ngram_size + 1)]
if __name__ == "__main__":
from doctest import testmod
testmod(... | 6 | 0 |
'''simple docstring'''
import warnings
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__ = loggi... | 703 |
'''simple docstring'''
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def __UpperCAmelCase ( lowerCamelCase_) -> float:
return np.dot(lowerCamelCase_ , lowerCamelCase_)
cl... | 6 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase__ = {
'configuration_x_clip': [
'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
'XCLIPConfig',
'XCLIPTextConfig',
'XCLI... | 704 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcesso... | 6 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ = 0) -> Optional[Any]:
UpperCamelCase__ : Any = length or len(lowerCAmelCase__)
UpperCamelCase__ : Dict = False
for i in range(length - 1):
if lis... | 705 |
'''simple docstring'''
import inspect
import math
import tempfile
import unittest
import numpy as np
from transformers import ViTMAEConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_a... | 6 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {'ctrl': 'https://huggingface.co/ctrl/resolve/main/config.json'}
class ... | 706 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class __lowercase (metaclass=__lowerCamelCase ):
_lowerCamelCase = ['''torch''', '''scipy''']
def __init__( self : List[Any] , *UpperCAmelCase_ : Any ... | 6 | 0 |
'''simple docstring'''
import copy
import os
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Union
if TYPE_CHECKING:
from ...processing_utils import ProcessorMixin
from ...utils import TensorType
from ...configuration_utils impo... | 707 |
'''simple docstring'''
class __lowercase :
def __init__( self : List[str] , UpperCAmelCase_ : str = "" , UpperCAmelCase_ : bool = False):
# Mapping from the first character of the prefix of the node
UpperCamelCase__ : dict[str, Radi... | 6 | 0 |
'''simple docstring'''
from multiprocessing import Lock, Pipe, Process
# lock used to ensure that two processes do not access a pipe at the same time
lowerCAmelCase__ = Lock()
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_ , ... | 708 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import TransformeraDModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
from diffusers.pipelines.vq_diffusion.pipel... | 6 | 0 |
'''simple docstring'''
import os
import time
import warnings
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...tokenization_utils_base import ... | 709 |
'''simple docstring'''
import numpy as np
from PIL import Image
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_) -> np.ndarray:
UpperCamelCase__ : List[Any] = np.array(lowerCamelCase_)
if arr.s... | 6 | 0 |
from __future__ import annotations
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_) -> Optional[Any]:
# Checks if the entire collection has been sorted
if len(lowerCamelCase_) <= 1 or n <= 1:
return
insert_next(lowerCamelCase_ , ... | 710 |
'''simple docstring'''
from __future__ import annotations
class __lowercase :
def __init__( self : Union[str, Any] , UpperCAmelCase_ : list[list[int]]):
UpperCamelCase__ : int = TypeError(
'Matrices must be formed fro... | 6 | 0 |
'''simple docstring'''
from ....configuration_utils import PretrainedConfig
from ....utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'Visual-Attention-Network/van-base': (
'https://huggingface.co/Visual-A... | 711 |
'''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.deepfloy... | 6 | 0 |
'''simple docstring'''
import requests
lowerCAmelCase__ = '' # <-- Put your OpenWeatherMap appid here!
lowerCAmelCase__ = 'https://api.openweathermap.org/data/2.5/'
def __UpperCAmelCase ( lowerCamelCase_ = "Chicago" , lowerCamel... | 712 |
'''simple docstring'''
import os
import random
import sys
from . import cryptomath_module as cryptomath
from . import rabin_miller
lowerCAmelCase__ = 3
def __UpperCAmelCase ( lowerCamelCase_) -> int:
print('Generating primitive root o... | 6 | 0 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licen... | 713 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
UniSpeechConfig,
UniSpeechForCTC,
UniSpeechForPreTraining,
WavaVecaFeatureExtractor,
WavaVecaPhonemeCTCTokeniz... | 6 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase__ = {
'configuration_informer': [
'INFORMER_PRETRAINED_CONFIG_ARCHI... | 714 |
'''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, UNetaDConditionM... | 6 | 0 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor
lowerCAmelCase__ = logging.get_logger(__name__)
class __lowercase (__lowerCamelCase ):
def __init__( self : ... | 715 |
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transform... | 6 | 0 |
'''simple docstring'''
import argparse
from collections import defaultdict
import yaml
lowerCAmelCase__ = 'docs/source/en/_toctree.yml'
def __UpperCAmelCase ( lowerCamelCase_) -> Union[str, Any]:
UpperCamelCase__ : str = defaultdict(snake_case__)... | 716 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __UpperCAmelCase ( lowerCamelCase_ = "AAPL") -> str:
UpperCamelCase__ : str = f'https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'
UpperCamelCase__ : Opt... | 6 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tensorflow_text_available, is_torch_available
lowerCAmelCase__ = {
'configuration_ernie': ['ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ErnieConfig', ... | 717 |
'''simple docstring'''
import unittest
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
if is_torch_available():
import torch
from transformers import AutoModelForImageClassif... | 6 | 0 |
'''simple docstring'''
import tempfile
import torch
from diffusers import (
DEISMultistepScheduler,
DPMSolverMultistepScheduler,
DPMSolverSinglestepScheduler,
UniPCMultistepScheduler,
)
from .test_schedulers import SchedulerCommonTest
class __low... | 718 |
'''simple docstring'''
import argparse
import struct
import unittest
class __lowercase :
def __init__( self : Tuple , UpperCAmelCase_ : bytes):
UpperCamelCase__ : Dict = data
# Initialize hash values
UpperCamelCas... | 6 | 0 |
'''simple docstring'''
from __future__ import annotations
def __UpperCAmelCase ( lowerCamelCase_) -> Optional[Any]: # This function is recursive
UpperCamelCase__ : Tuple = len(__a)
# If the array contains only one element, we return it (i... | 719 |
'''simple docstring'''
from math import log
from scipy.constants import Boltzmann, physical_constants
lowerCAmelCase__ = 300 # TEMPERATURE (unit = K)
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_ , ... | 6 | 0 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
... | 720 |
'''simple docstring'''
import logging
import math
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union
import torch
from .tensor_utils import tensor_tree_map, tree_map
def __UpperCAmelCase ( lowe... | 6 | 0 |
'''simple docstring'''
import inspect
import unittest
import numpy as np
from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxM... | 721 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_uti... | 6 | 0 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available(... | 700 |
'''simple docstring'''
from typing import Union
import fire
import torch
from tqdm import tqdm
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ = "cpu" , lowerCamelCase_ = None) -> None:
UpperCamelCase__ : List[Any] ... | 6 | 0 |
'''simple docstring'''
from typing import Optional, Union
import torch
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...modeling_outputs import BaseModelOutputWithPoolingAndNoAttention, ImageClassifierOutputW... | 701 |
'''simple docstring'''
import warnings
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__ = loggi... | 6 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_) -> int:
UpperCamelCase__ : Optional[Any] = len(UpperCamelCase__)
UpperCamelCase__ : Union[str, Any] = len(matrix[0])
UpperCamelCase__ : str = min(UpperCamelCa... | 702 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_) -> list[str]:
return [sentence[i : i + ngram_size] for i in range(len(lowerCamelCase_) - ngram_size + 1)]
if __name__ == "__main__":
from doctest import testmod
testmod(... | 6 | 0 |
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__n... | 703 |
'''simple docstring'''
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def __UpperCAmelCase ( lowerCamelCase_) -> float:
return np.dot(lowerCamelCase_ , lowerCamelCase_)
cl... | 6 | 0 |
import json
import os
from pathlib import Path
import pytest
from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename
lowerCAmelCase__ = "http://www.mo... | 704 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcesso... | 6 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_) -> bool:
return number & 1 == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 705 |
'''simple docstring'''
import inspect
import math
import tempfile
import unittest
import numpy as np
from transformers import ViTMAEConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_a... | 6 | 0 |
'''simple docstring'''
from scipy.stats import pearsonr
import datasets
lowerCAmelCase__ = "\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation ... | 706 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class __lowercase (metaclass=__lowerCamelCase ):
_lowerCamelCase = ['''torch''', '''scipy''']
def __init__( self : List[Any] , *UpperCAmelCase_ : Any ... | 6 | 0 |
'''simple docstring'''
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, Features, Value
from .base import TaskTemplate
@dataclass(frozen=A_ )
class __lowercase (A_ ):
_lowerCamelCase ... | 707 |
'''simple docstring'''
class __lowercase :
def __init__( self : List[str] , UpperCAmelCase_ : str = "" , UpperCAmelCase_ : bool = False):
# Mapping from the first character of the prefix of the node
UpperCamelCase__ : dict[str, Radi... | 6 | 0 |
'''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 __Upper... | 708 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import TransformeraDModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
from diffusers.pipelines.vq_diffusion.pipel... | 6 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_) -> float:
UpperCamelCase__ : List[Any] = (num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
# formula for sum of se... | 709 |
'''simple docstring'''
import numpy as np
from PIL import Image
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_) -> np.ndarray:
UpperCamelCase__ : List[Any] = np.array(lowerCamelCase_)
if arr.s... | 6 | 0 |
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import datasets
import datasets.config
from .utils import require_beam
class __lowercase (datasets.BeamBasedBuilder ):
def __UpperCamelCase ... | 710 |
'''simple docstring'''
from __future__ import annotations
class __lowercase :
def __init__( self : Union[str, Any] , UpperCAmelCase_ : list[list[int]]):
UpperCamelCase__ : int = TypeError(
'Matrices must be formed fro... | 6 | 0 |
'''simple docstring'''
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transfo... | 711 |
'''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.deepfloy... | 6 | 0 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class __lowercase (metaclass=_UpperCamelCase ):
_lowerCamelCase = ['''note_seq''']
def __init__( self : str , *UpperCAmelCase_ : Any , **UpperCAme... | 712 |
'''simple docstring'''
import os
import random
import sys
from . import cryptomath_module as cryptomath
from . import rabin_miller
lowerCAmelCase__ = 3
def __UpperCAmelCase ( lowerCamelCase_) -> int:
print('Generating primitive root o... | 6 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowerCAmelCase__ = {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}
try:
if not is_torch_available():... | 713 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
UniSpeechConfig,
UniSpeechForCTC,
UniSpeechForPreTraining,
WavaVecaFeatureExtractor,
WavaVecaPhonemeCTCTokeniz... | 6 | 0 |
'''simple docstring'''
import os
from argparse import ArgumentParser
from typing import List
import torch.utils.data
from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node
lowerCAmelCase__ = 4
lowerCAmelCase__ = ... | 714 |
'''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, UNetaDConditionM... | 6 | 0 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimension
... | 715 |
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transform... | 6 | 0 |
'''simple docstring'''
lowerCAmelCase__ = [
[0, 16, 13, 0, 0, 0],
[0, 0, 10, 12, 0, 0],
[0, 4, 0, 0, 14, 0],
[0, 0, 9, 0, 0, 20],
[0, 0, 0, 7, 0, 4],
[0, 0, 0, 0, 0, 0],
]
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , low... | 716 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __UpperCAmelCase ( lowerCamelCase_ = "AAPL") -> str:
UpperCamelCase__ : str = f'https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'
UpperCamelCase__ : Opt... | 6 | 0 |
'''simple docstring'''
import argparse
import json
import pickle
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import MaskFormerConfig, MaskFormerForInstanceSegmentation, MaskFormerImageProcess... | 717 |
'''simple docstring'''
import unittest
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
if is_torch_available():
import torch
from transformers import AutoModelForImageClassif... | 6 | 0 |
'''simple docstring'''
import argparse
import os
from io import BytesIO
from pathlib import Path
import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm
def __UpperCAmelCase ( lowerCamelCase_ , lowe... | 718 |
'''simple docstring'''
import argparse
import struct
import unittest
class __lowercase :
def __init__( self : Tuple , UpperCAmelCase_ : bytes):
UpperCamelCase__ : Dict = data
# Initialize hash values
UpperCamelCas... | 6 | 0 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional
from packaging import version
if TYPE_CHECKING:
from ... import PreTrainedTokenizer, TensorType
from ...configuration_utils import PretrainedConfig
from ...onn... | 719 |
'''simple docstring'''
from math import log
from scipy.constants import Boltzmann, physical_constants
lowerCAmelCase__ = 300 # TEMPERATURE (unit = K)
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_ , ... | 6 | 0 |
'''simple docstring'''
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'microsoft/wavlm-base': 'https://huggingface.... | 720 |
'''simple docstring'''
import logging
import math
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union
import torch
from .tensor_utils import tensor_tree_map, tree_map
def __UpperCAmelCase ( lowe... | 6 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_) -> Tuple:
if not isinstance(lowerCamelCase_ , lowerCamelCase_) or number < 0:
raise ValueError('Input must be a non-negative integer')
UpperCamelCase__ : Union[str, Any] = 0
... | 721 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_uti... | 6 | 0 |
'''simple docstring'''
import argparse
import struct
import unittest
class __lowercase :
def __init__( self : Tuple , UpperCAmelCase_ : bytes):
UpperCamelCase__ : Dict = data
# Initialize hash values
UpperCamelCase__ : ... | 700 |
'''simple docstring'''
from typing import Union
import fire
import torch
from tqdm import tqdm
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ = "cpu" , lowerCamelCase_ = None) -> None:
UpperCamelCase__ : List[Any] ... | 6 | 0 |
'''simple docstring'''
import shutil
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_tf_cross_test,
require_tf,
require_torch,
require_torchvision,
require_vision,
)
from transformers.utils import is_tf_available... | 701 |
'''simple docstring'''
import warnings
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__ = loggi... | 6 | 0 |
'''simple docstring'''
class __lowercase :
def __init__( self : List[str] , UpperCAmelCase_ : list):
UpperCamelCase__ : Any = set_counts
UpperCamelCase__ : Optional[int] = max(UpperCAmelCase_)
UpperCamelCase__ : ... | 702 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_) -> list[str]:
return [sentence[i : i + ngram_size] for i in range(len(lowerCamelCase_) - ngram_size + 1)]
if __name__ == "__main__":
from doctest import testmod
testmod(... | 6 | 0 |
'''simple docstring'''
import math
from typing import Any, Callable, List, Optional, Tuple, Union
import numpy as np
import torch
from ...models import TaFilmDecoder
from ...schedulers import DDPMScheduler
from ...utils import is_onnx_available, logging, randn_tensor
if is_onnx_ava... | 703 |
'''simple docstring'''
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def __UpperCAmelCase ( lowerCamelCase_) -> float:
return np.dot(lowerCamelCase_ , lowerCamelCase_)
cl... | 6 | 0 |
import itertools
import json
import os
import unittest
from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow
from ...t... | 704 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcesso... | 6 | 0 |
'''simple docstring'''
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter
import requests
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_=None) -> Tuple:
Uppe... | 705 |
'''simple docstring'''
import inspect
import math
import tempfile
import unittest
import numpy as np
from transformers import ViTMAEConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_a... | 6 | 0 |
'''simple docstring'''
import itertools
import random
import unittest
import numpy as np
from transformers import is_speech_available
from transformers.testing_utils import require_torch, require_torchaudio
from ...test_sequence_feature_extraction_common import SequenceFeatureExtracti... | 706 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class __lowercase (metaclass=__lowerCamelCase ):
_lowerCamelCase = ['''torch''', '''scipy''']
def __init__( self : List[Any] , *UpperCAmelCase_ : Any ... | 6 | 0 |
'''simple docstring'''
from pathlib import Path
from typing import List
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, ... | 707 |
'''simple docstring'''
class __lowercase :
def __init__( self : List[str] , UpperCAmelCase_ : str = "" , UpperCAmelCase_ : bool = False):
# Mapping from the first character of the prefix of the node
UpperCamelCase__ : dict[str, Radi... | 6 | 0 |
'''simple docstring'''
import argparse
import torch
from huggingface_hub import hf_hub_download
from transformers import AutoTokenizer, RobertaPreLayerNormConfig, RobertaPreLayerNormForMaskedLM
from transformers.utils import logging
logging.set_verbosity_info()
lowerCAmelCase__ = logging.ge... | 708 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import TransformeraDModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
from diffusers.pipelines.vq_diffusion.pipel... | 6 | 0 |
'''simple docstring'''
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __lowercase (unittest.TestCase ):
def __UpperCamelCase ( self : Any):
UpperCamelCase__ : Any = [
... | 709 |
'''simple docstring'''
import numpy as np
from PIL import Image
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_) -> np.ndarray:
UpperCamelCase__ : List[Any] = np.array(lowerCamelCase_)
if arr.s... | 6 | 0 |
from __future__ import annotations
import math
class __lowercase :
def __init__( self : Dict , UpperCAmelCase_ : int):
UpperCamelCase__ : Dict = size
# approximate the overall size of segment tree with given value
UpperCame... | 710 |
'''simple docstring'''
from __future__ import annotations
class __lowercase :
def __init__( self : Union[str, Any] , UpperCAmelCase_ : list[list[int]]):
UpperCamelCase__ : int = TypeError(
'Matrices must be formed fro... | 6 | 0 |
'''simple docstring'''
import os
import warnings
from typing import List, Optional
from ...tokenization_utils_base import BatchEncoding
from ...utils import logging
from .configuration_rag import RagConfig
lowerCAmelCase__ = logging.get_logger(__name__)
cl... | 711 |
'''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.deepfloy... | 6 | 0 |
'''simple docstring'''
import os
import numpy
import onnx
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_):
UpperCamelCase__ : Optional[Any] = a.name
UpperCamelCase__ : Dict = b.name
UpperCamelCase__ : ... | 712 |
'''simple docstring'''
import os
import random
import sys
from . import cryptomath_module as cryptomath
from . import rabin_miller
lowerCAmelCase__ = 3
def __UpperCAmelCase ( lowerCamelCase_) -> int:
print('Generating primitive root o... | 6 | 0 |
'''simple docstring'''
import argparse
import re
import numpy as np
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
SamConfig,
SamImageProcessor,
SamModel,
SamProcessor,
SamVisionConfig,
)
... | 713 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
UniSpeechConfig,
UniSpeechForCTC,
UniSpeechForPreTraining,
WavaVecaFeatureExtractor,
WavaVecaPhonemeCTCTokeniz... | 6 | 0 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_) -> Any:
UpperCamelCase__ : Optional[Any] = len(lowerCamelCase_)
UpperCamelCase__ : Optional[Any] = sum(lowerCamelCase_)
UpperCamelCase__ : Optional[Any] = [... | 714 |
'''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, UNetaDConditionM... | 6 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ = {
'google/pegasus-large': 'https://huggingface.co/google/pegasus-large/resolve/main/... | 715 |
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transform... | 6 | 0 |
'''simple docstring'''
import os
import tempfile
import unittest
from pathlib import Path
from transformers import AutoConfig, is_tf_available
from transformers.testing_utils import require_tf
if is_tf_available():
import tensorflow as tf
from transformers import TensorFlowBenchmark, TensorFlowBenchm... | 716 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __UpperCAmelCase ( lowerCamelCase_ = "AAPL") -> str:
UpperCamelCase__ : str = f'https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'
UpperCamelCase__ : Opt... | 6 | 0 |
'''simple docstring'''
from collections import OrderedDict
from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES
lowerCAmelCase__ = logging.get_logger(__name__)
... | 717 |
'''simple docstring'''
import unittest
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
if is_torch_available():
import torch
from transformers import AutoModelForImageClassif... | 6 | 0 |
'''simple docstring'''
import numpy as np
import torch
from torch.utils.data import Dataset
from utils import logger
class __lowercase (__lowerCamelCase ):
def __init__( self : Dict , UpperCAmelCase_ : List[str] , UpperCAmelCase_ ... | 718 |
'''simple docstring'''
import argparse
import struct
import unittest
class __lowercase :
def __init__( self : Tuple , UpperCAmelCase_ : bytes):
UpperCamelCase__ : Dict = data
# Initialize hash values
UpperCamelCas... | 6 | 0 |
'''simple docstring'''
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow
if is_torch_available():
import torch
from transformers import XLMRobertaModel
@... | 719 |
'''simple docstring'''
from math import log
from scipy.constants import Boltzmann, physical_constants
lowerCAmelCase__ = 300 # TEMPERATURE (unit = K)
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_ , ... | 6 | 0 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_uti... | 720 |
'''simple docstring'''
import logging
import math
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union
import torch
from .tensor_utils import tensor_tree_map, tree_map
def __UpperCAmelCase ( lowe... | 6 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import TransformeraDModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
from diffusers.pipelines.vq_diffusion.pipel... | 721 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_uti... | 6 | 0 |
'''simple docstring'''
from __future__ import annotations
lowerCAmelCase__ = 10
def __UpperCAmelCase ( lowerCamelCase_) -> list[int]:
UpperCamelCase__ : Optional[int] = 1
UpperCamelCase__ : Any = max(lowerCamelCase_)
... | 700 |
'''simple docstring'''
from typing import Union
import fire
import torch
from tqdm import tqdm
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_ = "cpu" , lowerCamelCase_ = None) -> None:
UpperCamelCase__ : List[Any] ... | 6 | 0 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def __UpperCAmelCase ( lowerCamelCase_ = "AAPL") -> str:
UpperCamelCase__ : str = f'https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'
UpperCamelCase__ : Opt... | 701 |
'''simple docstring'''
import warnings
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__ = loggi... | 6 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
lowerCAmelCase__ = logging.get_logger(__name__)
lowerCAmelCase__ ... | 702 |
'''simple docstring'''
def __UpperCAmelCase ( lowerCamelCase_ , lowerCamelCase_) -> list[str]:
return [sentence[i : i + ngram_size] for i in range(len(lowerCamelCase_) - ngram_size + 1)]
if __name__ == "__main__":
from doctest import testmod
testmod(... | 6 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import FunnelBaseModel, FunnelConfig, FunnelModel, load_tf_weights_in_funnel
from transformers.utils import logging
logging.set_verbosity_info()
def __UpperCAmelCase ( lowerCamelCase_ ... | 703 |
'''simple docstring'''
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def __UpperCAmelCase ( lowerCamelCase_) -> float:
return np.dot(lowerCamelCase_ , lowerCamelCase_)
cl... | 6 | 0 |
from copy import deepcopy
import torch
import torch.nn.functional as F
from torch.optim import AdamW
from torch.optim.lr_scheduler import LambdaLR
from torch.utils.data import DataLoader
from accelerate.accelerator import Accelerator
from accelerate.state import GradientState
from accelerate.t... | 704 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcesso... | 6 | 0 |
'''simple docstring'''
import argparse
import glob
import importlib.util
import os
import re
import black
from doc_builder.style_doc import style_docstrings_in_code
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/c... | 705 |
'''simple docstring'''
import inspect
import math
import tempfile
import unittest
import numpy as np
from transformers import ViTMAEConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_a... | 6 | 0 |
'''simple docstring'''
import torch
from ..models.speechta import SpeechTaForTextToSpeech, SpeechTaHifiGan, SpeechTaProcessor
from ..utils import is_datasets_available
from .base import PipelineTool
if is_datasets_available():
from datasets import load_dataset
class ... | 706 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class __lowercase (metaclass=__lowerCamelCase ):
_lowerCamelCase = ['''torch''', '''scipy''']
def __init__( self : List[Any] , *UpperCAmelCase_ : Any ... | 6 | 0 |
'''simple docstring'''
class __lowercase :
def __init__( self : List[str] , UpperCAmelCase_ : str = "" , UpperCAmelCase_ : bool = False):
# Mapping from the first character of the prefix of the node
UpperCamelCase__ : dict[str, Radi... | 707 |
'''simple docstring'''
class __lowercase :
def __init__( self : List[str] , UpperCAmelCase_ : str = "" , UpperCAmelCase_ : bool = False):
# Mapping from the first character of the prefix of the node
UpperCamelCase__ : dict[str, Radi... | 6 | 0 |
'''simple docstring'''
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class __lowercase (__lowerCamelCase ):
_lowerCamelCase = ['''image_processor''', '''tokenizer''']
_lowerCamelCase = '''... | 708 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import TransformeraDModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
from diffusers.pipelines.vq_diffusion.pipel... | 6 | 0 |
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