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 |
|---|---|---|---|---|
from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def lowerCAmelCase_( lowercase_ : int ) -> int:
_lowerCamelCase = prime_factors(lowercase_ )
if is_square_free(lowercase_ ):
return -1 if len(lowercase_ ... | 358 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,
ViTModel,
)
from t... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_time_series_transformer''': [
'''TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
... | 359 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 73 | 0 |
"""simple docstring"""
import unittest
from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate
def lowerCAmelCase_( lowercase_ : List[Any] ) -> Dict:
return x + 2
class lowerCamelCase_( unittest.TestCase ... | 360 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int ) -> Tuple:
# Checks if the entire collection has been sorted
if len(lowercase_ ) <= 1 or n <= 1:
return
insert_next(lowercas... | 73 | 0 |
"""simple docstring"""
from ...utils import deprecate
from ..controlnet.multicontrolnet import MultiControlNetModel # noqa: F401
from ..controlnet.pipeline_controlnet import StableDiffusionControlNetPipeline # noqa: F401
deprecate(
'''stable diffusion controlnet''',
'''0.22.0''',
'''Importing `Stabl... | 361 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Optional[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https... | 73 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''google/realm-cc-news-pretrained-embedder''': (
'''https... | 362 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available(... | 73 | 0 |
"""simple docstring"""
import numpy as np
from scipy.spatial.distance import cdist
from sklearn.metrics import fa_score
import datasets
__SCREAMING_SNAKE_CASE : Dict = '''\
@inproceedings{kakwani2020indicnlpsuite,
title={{IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-... | 363 |
"""simple docstring"""
import argparse
from collections import defaultdict
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : str , lowercase_ : str ) -> Optional[int]:
_low... | 73 | 0 |
import logging
from transformers.configuration_utils import PretrainedConfig
__SCREAMING_SNAKE_CASE : str = logging.getLogger(__name__)
class lowerCamelCase_( A__ ):
'''simple docstring'''
lowercase__ : str = 'masked_bert'
def __init__( se... | 364 |
"""simple docstring"""
import os
import tempfile
import unittest
import uuid
from pathlib import Path
from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is... | 73 | 0 |
"""simple docstring"""
import math
import os
import unittest
from transformers import MegatronBertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuratio... | 365 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SC... | 73 | 0 |
"""simple docstring"""
import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union
import transformers
from transformers.testing_utils import require_tf, require_torch, slow
__SCREAMING_SNAKE_CASE : Tuple = logging.getLogger()
@unittest.skip(... | 366 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 73 | 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,
... | 367 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : bool = False ) -> list[fl... | 73 | 0 |
"""simple docstring"""
import logging
import os
import threading
import time
try:
import warnings
except ImportError:
__SCREAMING_SNAKE_CASE = None
try:
import msvcrt
except ImportError:
__SCREAMING_SNAKE_CASE = None
try:
import fcntl
except ImportError:
__SCREAMING_SNA... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 0 |
"""simple docstring"""
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
__SCREAMING_SNAKE_CASE : List[Any] = pytest.mark.integration
@pytest... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""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 import TOKEN, USER, is_stagin... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
import argparse
import os
import pickle
import sys
import torch
from transformers import TransfoXLConfig, TransfoXLLMHeadModel, load_tf_weights_in_transfo_xl
from transformers.models.transfo_xl import tokenization_transfo_xl as data_utils
from transformers.models.transfo_xl.to... | 350 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 73 | 0 |
"""simple docstring"""
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
__SCREAMING_SNAKE_CASE : str = logging.g... | 351 |
"""simple docstring"""
import qiskit
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> qiskit.result.counts.Counts:
_lowerCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Create a Quantum Circuit acting on the q register
... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ ) -> int:
_lowerCamelCase = hex_num.strip()
if not hex_num:
raise ValueError('''No value was passed to the function''' )
_lowerCamelCase = hex_num[0] == '''-'''
if is_negative:
_lowerCamelCas... | 352 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 73 | 0 |
"""simple docstring"""
import json
import logging
import os
import socket
import git
import numpy as np
import torch
logging.basicConfig(
format='''%(asctime)s - %(levelname)s - %(name)s - PID: %(process)d - %(message)s''',
datefmt='''%m/%d/%Y %H:%M:%S''',
level=logging.INFO,
)
__SCREAMING_SNAKE_CAS... | 353 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abej... | 73 | 0 |
"""simple docstring"""
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Any = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Tuple = {
'''google/pix2struct-textcap... | 354 |
"""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/check_copies.py
__SCREAMING... | 73 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
from typing import Generic, TypeVar
__SCREAMING_SNAKE_CASE : Any = TypeVar('''T''')
class lowerCamelCase_( Generic[T] ):
'''simple docstring'''
def __init__( self... | 355 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Tuple = {
'''configuration_longformer''': [
'''LONG... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_blenderbot... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : str ) -> str:
return "".join(chr(ord(lowercase_ ) - 32 ) if '''a''' <= char <= '''z''' else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod()
| 357 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Dict = {
'''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-s... | 73 | 0 |
import argparse
import struct
import unittest
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__ ):
_lowerCamelCase = data
# Initialize hash values
_lowerCamelCase = [
0x6A09E667,
... | 358 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,
ViTModel,
)
from t... | 73 | 0 |
"""simple docstring"""
import os
from pathlib import Path
import numpy as np
import pytest
from pack_dataset import pack_data_dir
from parameterized import parameterized
from save_len_file import save_len_file
from torch.utils.data import DataLoader
from transformers import AutoTokenizer
from transformers.models.... | 359 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 73 | 0 |
"""simple docstring"""
import logging
from transformers import PretrainedConfig
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.getLogger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned... | 360 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int ) -> Tuple:
# Checks if the entire collection has been sorted
if len(lowercase_ ) <= 1 or n <= 1:
return
insert_next(lowercas... | 73 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list[int | str] ) -> None:
create_state_space_tree(lowercase_ , [] , 0 , [0 for i in range(len(lowercase_ ) )] )
def lowerCAmelCase_( lowercase_ ... | 361 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Optional[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https... | 73 | 0 |
"""simple docstring"""
import os
import unittest
from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@requ... | 362 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available(... | 73 | 0 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
__SCREAMING_SNAKE_CASE : List[Any] = {'''vocab_file''': '''vocab.txt''... | 363 |
"""simple docstring"""
import argparse
from collections import defaultdict
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : str , lowercase_ : str ) -> Optional[int]:
_low... | 73 | 0 |
from functools import lru_cache
def lowerCAmelCase_( lowercase_ : int ) -> set:
_lowerCamelCase = 2
_lowerCamelCase = set()
while i * i <= n:
if n % i:
i += 1
else:
n //= i
factors.add(lowercase_ )
... | 364 |
"""simple docstring"""
import os
import tempfile
import unittest
import uuid
from pathlib import Path
from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is... | 73 | 0 |
"""simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from torchvision.transforms import Compose, Normalize, Resize, ToTensor
from transformers import SwinaSRConfig, SwinaSRForImageSuperResolution, SwinaSRImageProcessor
def lowerCAmelCase_( lowercase_ : An... | 365 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SC... | 73 | 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 lowerCAmelCase_( lowercase_ : List[Any] , lowercase_ : Optional[An... | 366 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 73 | 0 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : Tuple , lowercase_ : Union[str, Any] ) -> Any: # noqa: E741
while r - l > 1:
_lowerCamelCa... | 367 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : bool = False ) -> list[fl... | 73 | 0 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaInpaintPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, load_i... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class lowerCamelCase_( A__ ):
... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 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():
import jax... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""simple docstring"""
import os
from pathlib import Path
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int , lowercase_ : List[str] ) -> Dict:
_lowerCamelCase = {
'''en''': '''Machine learning is great, isn\'t it?''',
... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
from typing import Any
import numpy as np
def lowerCAmelCase_( lowercase_ : np.ndarray ) -> bool:
return np.array_equal(lowercase_ , matrix.conjugate().T )
def lowerCAmelCase_( lowercase_ : np.ndarray , l... | 350 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel... | 73 | 0 |
"""simple docstring"""
class lowerCamelCase_:
'''simple docstring'''
def __init__( self , lowerCamelCase__ ):
_lowerCamelCase = len(lowerCamelCase__ )
_lowerCamelCase = [0] * len_array
if len_array > 0:
_lowerCamelCase ... | 351 |
"""simple docstring"""
import qiskit
def lowerCAmelCase_( lowercase_ : int , lowercase_ : int ) -> qiskit.result.counts.Counts:
_lowerCamelCase = qiskit.Aer.get_backend('''aer_simulator''' )
# Create a Quantum Circuit acting on the q register
... | 73 | 0 |
"""simple docstring"""
import os
import tempfile
import unittest
import uuid
from pathlib import Path
from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is... | 352 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = len(lowercase_ )
while cur > 1:
# Find the maximum number in arr
_lowerCamelCase = arr.index(max(arr[0:cur] ) )
# Reve... | 73 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Tuple = {
'''facebook/dpr-ctx_encoder-single-nq-base''': (
'''https://huggingf... | 353 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Any = {
'''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abej... | 73 | 0 |
"""simple docstring"""
import re
import warnings
from contextlib import contextmanager
from ...processing_utils import ProcessorMixin
class lowerCamelCase_( A__ ):
'''simple docstring'''
lowercase__ : Tuple = ['image_processor', 'tokenizer']
lowercase__ : Di... | 354 |
"""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/check_copies.py
__SCREAMING... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : int ) -> list[int]:
if length <= 0 or not isinstance(lowercase_ , lowercase_ ):
raise ValueError('''Length must be a positive integer.''' )
return [n * (2 * n - 1) for n in range(lowercase_ )... | 355 |
"""simple docstring"""
import math
from numpy import inf
from scipy.integrate import quad
def lowerCAmelCase_( lowercase_ : float ) -> float:
if num <= 0:
raise ValueError('''math domain error''' )
return quad(lowercase_ , 0 , lowercase_ , args=(lo... | 73 | 0 |
"""simple docstring"""
from typing import Dict, List, Optional
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
__SCREAMING_SNAKE_CASE : Union[str, Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Union[str, Any] = {
... | 356 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_blenderbot... | 73 | 0 |
"""simple docstring"""
import math
from typing import Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from ...image_utils im... | 357 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : int = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Dict = {
'''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-s... | 73 | 0 |
from dataclasses import dataclass
from typing import Tuple
import numpy as np
import torch
@dataclass
class lowerCamelCase_:
'''simple docstring'''
lowercase__ : torch.Tensor # [batch_size x 3]
lowercase__ : torch.Tensor # [batch_size x 3]
lowercase__ : torc... | 358 |
"""simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,
ViTModel,
)
from t... | 73 | 0 |
"""simple docstring"""
from random import shuffle
import tensorflow as tf
from numpy import array
def lowerCAmelCase_( lowercase_ : str , lowercase_ : List[str] ) -> Optional[Any]:
_lowerCamelCase = int(lowercase_ )
assert noofclusters < len(lowe... | 359 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : Dict = {
'''configuration_mega''': ['''MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MegaConfig''', '''MegaOnnxCo... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__SCREAMING_SNAKE_CASE : int = {'''configuration_van''': ['''VAN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VanConfig''']}
try:
if not... | 360 |
"""simple docstring"""
from __future__ import annotations
def lowerCAmelCase_( lowercase_ : list , lowercase_ : int ) -> Tuple:
# Checks if the entire collection has been sorted
if len(lowercase_ ) <= 1 or n <= 1:
return
insert_next(lowercas... | 73 | 0 |
"""simple docstring"""
from math import factorial, radians
def lowerCAmelCase_( lowercase_ : float , lowercase_ : int = 18 , lowercase_ : int = 10 ) -> float:
_lowerCamelCase = angle_in_degrees - ((angle_in_degrees // 3_60.0) * 3_60.0)
... | 361 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Optional[Any] = logging.get_logger(__name__)
__SCREAMING_SNAKE_CASE : Optional[int] = {
'''microsoft/trocr-base-handwritten''': (
'''https... | 73 | 0 |
"""simple docstring"""
import string
from math import logaa
def lowerCAmelCase_( lowercase_ : str , lowercase_ : str ) -> int:
_lowerCamelCase = document.translate(
str.maketrans('''''' , '''''' , string.punctuation ) ).replace('... | 362 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : str = {}
try:
if not is_sentencepiece_available(... | 73 | 0 |
"""simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import ViTMAEConfig, ViTMAEForPreTraining, ViTMAEImageProcessor
def lowerCAmelCase_( lowercase_ : List[Any] ) -> Tuple:
if "cls_token" in name:
_lowerCamelCase ... | 363 |
"""simple docstring"""
import argparse
from collections import defaultdict
def lowerCAmelCase_( lowercase_ : str , lowercase_ : Dict , lowercase_ : Tuple , lowercase_ : str , lowercase_ : str ) -> Optional[int]:
_low... | 73 | 0 |
from __future__ import annotations
import time
__SCREAMING_SNAKE_CASE : Any = list[tuple[int, int]]
__SCREAMING_SNAKE_CASE : Union[str, Any] = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstacles
[0, 0, 0, 0, 0, 0, 0],
[0, ... | 364 |
"""simple docstring"""
import os
import tempfile
import unittest
import uuid
from pathlib import Path
from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : Dict ) -> Any:
_lowerCamelCase = [0] * len(lowercase_ )
_lowerCamelCase = []
_lowerCamelCase = [1] * len(lowercase_ )
for values in graph.values():
for i in values:
... | 365 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__SCREAMING_SNAKE_CASE : Tuple = logging.get_logger(__name__)
__SC... | 73 | 0 |
"""simple docstring"""
import pytest
from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def lowerCAmelCase_( lowercase_ : List[Any] ) -> str:
monkeypatch.setattr('''datasets.utils.deprecation_utils._emitted_deprecation_warnings''' , set() )
... | 366 |
"""simple docstring"""
import inspect
import unittest
from transformers import RegNetConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from transformers.utils import cached_property, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_modeling_f... | 73 | 0 |
"""simple docstring"""
from typing import Optional
import torch
import torch.utils.checkpoint
from torch import Tensor, nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from ...activations import ACTaFN
from ...modeling_outputs import (
BackboneOutput,
BaseModelOutputWithNoAttention,
... | 367 |
"""simple docstring"""
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def lowerCAmelCase_( lowercase_ : float , lowercase_ : float , lowercase_ : bool = False ) -> list[fl... | 73 | 0 |
"""simple docstring"""
import argparse
import pytorch_lightning as pl
import torch
from torch import nn
from transformers import LongformerForQuestionAnswering, LongformerModel
class lowerCamelCase_( pl.LightningModule ):
'''simple docstring'''
def __init__( self , low... | 368 |
"""simple docstring"""
import copy
import os
import cva
import numpy as np
from matplotlib import pyplot as plt
class lowerCamelCase_:
'''simple docstring'''
def __init__( self ):
_lowerCamelCase = ''''''
_lowerCamelCase = ''''''
_lowerCam... | 73 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
A : Any = {
'''configuration_blip_2''': [
'''BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''Blip2Config''',
'''Blip2QFormerConfig'... | 369 |
"""simple docstring"""
import os
from collections.abc import Iterator
def lowerCAmelCase_( lowercase_ : str = "." ) -> Iterator[str]:
for dir_path, dir_names, filenames in os.walk(lowercase_ ):
_lowerCamelCase = [d for d in dir_names if d != '''scripts''' and... | 73 | 0 |
"""simple docstring"""
from math import sqrt
def lowerCAmelCase_( lowercase_ : int ) -> bool:
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all even numbers, all multiples o... | 370 |
"""simple docstring"""
import os
import sys
__SCREAMING_SNAKE_CASE : Dict = os.path.join(os.path.dirname(__file__), '''src''')
sys.path.append(SRC_DIR)
from transformers import (
AutoConfig,
AutoModel,
AutoModelForCausalLM,
AutoModelForMaskedLM,
AutoModelForQuestionAnswering,... | 73 | 0 |
"""simple docstring"""
def lowerCAmelCase_( lowercase_ : list[int] ) -> list[int]:
_lowerCamelCase = len(lowercase_ )
for i in range(lowercase_ ):
for j in range(i + 1 , lowercase_ ):
if numbers[j] < numbers[i]:
_l... | 371 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__SCREAMING_SNAKE_CASE : List[str] = {
'''configuration_vision_encoder_decoder''': ['''Vis... | 73 | 0 |
"""simple docstring"""
import argparse
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import BigBirdPegasusConfig, BigBirdPegasusForConditionalGeneration
__UpperCamelCase : List[str] = [
# tf -> hf
('''/''', '''.'''),
('''layer_... | 74 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more or... | 74 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class SCREAMING_SNAKE_CASE ( metaclass=a_ ):
"""simple docstring"""
lowercase__ = ["sentencepiece"]
def __init__( self : Dict ,*lowercase_ : Tuple ,**lowercase_ ... | 74 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
if (resistance, reactance, impedance).count(0 ) != 1:
raise ValueError('''One and only one argument must be 0''' )
if resistance == 0:
return {"r... | 74 | 1 |
"""simple docstring"""
# Function to print upper half of diamond (pyramid)
def __SCREAMING_SNAKE_CASE ( A_ ):
for i in range(0 , A_ ):
for _ in range(0 , n - i - 1 ): # printing spaces
print(''' ''' , end='''''' )
for _ in range(0 , i + 1 ): # printi... | 74 |
"""simple docstring"""
import qiskit
def __SCREAMING_SNAKE_CASE ( A_ = 2 ):
lowerCAmelCase__ : int = qubits
# Using Aer's simulator
lowerCAmelCase__ : str = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quantum Circuit acting on the q register
low... | 74 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__UpperCamelCase : List[Any] = logging.get_logger(__name__)
__UpperCamelCase : Tuple = {
'''google/switch-base-8''': '''https://huggingface.co/google/switch-base-8/blob/mai... | 74 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : int = 0
for ch in input_str:
lowerCAmelCase__ : Any = ord(A_ )
lowerCAmelCase__ : Any = pow(2 , A_ )
# If we already turned on bit for current character... | 74 | 1 |
"""simple docstring"""
import unittest
from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property
from ...test_tokenization_c... | 74 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ):
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any] = ... | 74 | 1 |
"""simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import BertTokenizer, BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
fr... | 74 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, Li... | 74 | 1 |
"""simple docstring"""
import os
import random
import sys
from . import cryptomath_module as cryptomath
from . import rabin_miller
__UpperCamelCase : Any = 3
def __SCREAMING_SNAKE_CASE ( A_ ):
print('''Generating primitive root of p''' )
while True:
lowerCAmelCase__ : str... | 74 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 74 | 1 |
"""simple docstring"""
import re
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : Dict = re.compile(
r'''^(?:0|94|\+94|0{2}94)''' r'''7(0|1|2|4|5|6|7|8)''' r'''(-| |)''' r'''\d{7}$''' )
return bool(re.search(A_ , A_ ) )
if __name__ == "__main__":
__... | 74 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
ra... | 74 | 1 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ , A_ ):
return number | (1 << position)
def __SCREAMING_SNAKE_CASE ( A_ , A_ ):
return number & ~(1 << position)
def __SCREAMING_SNAKE_CASE ( A_ , A_ ):
return number ^ (1 << position)
def __SCREAMIN... | 74 |
"""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
__UpperCamelCase : Tuple = loggi... | 74 | 1 |
"""simple docstring"""
import unittest
from datasets import load_dataset
from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class SCREAMING_SNAKE_CASE ( a_ , ... | 74 |
"""simple docstring"""
from manim import *
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __lowerCAmelCase ( self : List[Any] ):
lowerCAmelCase__ : List[str] = Rectangle(height=0.5 ,width=0.5 )
lowerCAmelCase__ : ... | 74 | 1 |
"""simple docstring"""
import argparse
import logging
import pickle
import random
import time
import numpy as np
from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer
logging.basicConfig(
format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''',... | 74 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__UpperCamelCase : Optional[Any] = {
'''configuration_clipseg''': [
'''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''CLIPSegConfig''',
... | 74 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__UpperCamelCase : List[Any] = {
'''configuration_biogpt''': ['''BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BioGptConfig''']... | 74 |
"""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 FlaxModelTesterMixin, floats_t... | 74 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__UpperCamelCase : Dict = logging.get_logger(__name__)
__UpperCamelCase : Any = {
'''microsoft/markuplm-base''': '''https://huggingface.co/microsoft/markuplm-base/resolve/m... | 74 |
"""simple docstring"""
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = ""
lowercase__ = (
... | 74 | 1 |
"""simple docstring"""
import argparse
import struct
import unittest
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : int ,lowercase_ : bytes ):
lowerCAmelCase__ : int = data
# Initialize hash values
... | 74 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(A_ )
if number < 0:
return False
lowerCAmelCase__ : List[Any] = ... | 74 | 1 |
"""simple docstring"""
import argparse
import json
import os
import pickle
import shutil
import numpy as np
import torch
from distiller import Distiller
from lm_seqs_dataset import LmSeqsDataset
from transformers import (
BertConfig,
BertForMaskedLM,
BertTokenizer,
DistilBertConfig,
DistilB... | 74 |
"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
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]' whe... | 74 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__UpperCamelCase : List[str] = logging.get_logger(__name__)
__Upp... | 74 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 74 | 1 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 74 |
"""simple docstring"""
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
__UpperCamelCase : int = '''%20'''.join(argv[1:]) if len(argv) > 1 else quot... | 74 | 1 |
"""simple docstring"""
from typing import Callable, List, Optional, Tuple, Union
import torch
from transformers import CLIPTextModel, CLIPTokenizer
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin, TransformeraDModel, VQModel
from ...schedulers import VQDiffus... | 74 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 74 | 1 |
"""simple docstring"""
from urllib.parse import quote
import pytest
from datasets.utils.hub import hf_hub_url
@pytest.mark.parametrize('''repo_id''' , ['''canonical_dataset_name''', '''org-name/dataset-name'''] )
@pytest.mark.parametrize('''path''' , ['''filename.csv''', '''filename with b... | 74 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 74 | 1 |
"""simple docstring"""
import math
import os
import re
import sys
import unittest
from pathlib import Path
from typing import Tuple
from unittest.mock import patch
from parameterized import parameterized
from transformers.testing_utils import (
CaptureStderr,
ExtendSysPath,
TestCasePlus,
execut... | 74 |
"""simple docstring"""
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] ... | 74 | 1 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : int = 0
for ch in input_str:
lowerCAmelCase__ : Any = ord(A_ )
lowerCAmelCase__ : Any = pow(2 , A_ )
# If we already turned on bit for current character... | 74 |
"""simple docstring"""
import os
from collections import namedtuple
import pytest
from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict
__UpperCamelCase : Union[str, Any] = namedtuple(
... | 74 | 1 |
"""simple docstring"""
from datetime import datetime
import requests
from bsa import BeautifulSoup
if __name__ == "__main__":
__UpperCamelCase : List[Any] = input('''Enter image url: ''').strip()
print(F'''Downloading image from {url} ...''')
__UpperCamelCase : Union[str... | 74 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__UpperCamelCase : Optional[int] = logging.get_logger(__name__)
__Up... | 74 | 1 |
"""simple docstring"""
from typing import List
import numpy as np
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : List[Any] = {key: len(A_ ) for key, value in gen_kwargs.items() if isinstance(A_ , A_ )}
if len(set(lists_lengths.values() ) ) > 1:
raise Runtim... | 74 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more or... | 74 | 1 |
"""simple docstring"""
from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
LineByLineTextDataset,
LineByLineWithRefDataset,
LineByLineWithSOPTextDataset,
TextDataset,
TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTraini... | 74 |
"""simple docstring"""
from __future__ import annotations
from math import pow, sqrt
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
if (resistance, reactance, impedance).count(0 ) != 1:
raise ValueError('''One and only one argument must be 0''' )
if resistance == 0:
return {"r... | 74 | 1 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ):
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any] = ... | 74 |
"""simple docstring"""
import qiskit
def __SCREAMING_SNAKE_CASE ( A_ = 2 ):
lowerCAmelCase__ : int = qubits
# Using Aer's simulator
lowerCAmelCase__ : str = qiskit.Aer.get_backend('''aer_simulator''' )
# Creating a Quantum Circuit acting on the q register
low... | 74 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_video_inputs
if is_torch_a... | 74 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
lowerCAmelCase__ : int = 0
for ch in input_str:
lowerCAmelCase__ : Any = ord(A_ )
lowerCAmelCase__ : Any = pow(2 , A_ )
# If we already turned on bit for current character... | 74 | 1 |
"""simple docstring"""
from __future__ import annotations
__UpperCamelCase : Any = 1.6021e-19 # units = C
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , ):
if (conductivity, electron_conc, mobility).count(0 ) != 1:
raise ValueError('''You cannot supply more or... | 74 |
"""simple docstring"""
import math
def __SCREAMING_SNAKE_CASE ( A_ , A_ = 0 , A_ = 0 ):
lowerCAmelCase__ : Tuple = end or len(A_ )
for i in range(A_ , A_ ):
lowerCAmelCase__ : Dict = i
lowerCAmelCase__ : List[Any] = ... | 74 | 1 |
"""simple docstring"""
import math
import random
from typing import Any
from .hill_climbing import SearchProblem
def __SCREAMING_SNAKE_CASE ( A_ , A_ = True , A_ = math.inf , A_ = -math.inf , A_ = math.inf , A_ = -math.inf , A_ = False , A_ =... | 74 |
"""simple docstring"""
import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, Li... | 74 | 1 |
"""simple docstring"""
from collections.abc import Sequence
from queue import Queue
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : str ,lowercase_ : Tuple ,lowercase_ : int ,lowercase_ : List[str] ,low... | 74 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 74 | 1 |
"""simple docstring"""
import contextlib
import copy
import random
from typing import Any, Dict, Iterable, Optional, Union
import numpy as np
import torch
from .utils import deprecate, is_transformers_available
if is_transformers_available():
import transformers
def __SCREAMING_SNAKE_CASE ( A_ ... | 74 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
ra... | 74 | 1 |
"""simple docstring"""
import faiss # noqa: F401 # Here to have a nice missing dependency error message early on
import numpy # noqa: F401 # Here to have a nice missing dependency error message early on
import requests # noqa: F401 # Here to have a nice missing dependency error message early on
import sklearn... | 74 |
"""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
__UpperCamelCase : Tuple = loggi... | 74 | 1 |
"""simple docstring"""
from collections import deque
from math import floor
from random import random
from time import time
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : List[Any] ):
lowerCAmelCase__ : List[Any] = {}
... | 74 |
"""simple docstring"""
from manim import *
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
def __lowerCAmelCase ( self : List[Any] ):
lowerCAmelCase__ : List[str] = Rectangle(height=0.5 ,width=0.5 )
lowerCAmelCase__ : ... | 74 | 1 |
"""simple docstring"""
import math
from collections import defaultdict
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from .scheduling_utils import KarrasDiffusionSchedulers, SchedulerMixin, SchedulerOutput
def ... | 74 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__UpperCamelCase : Optional[Any] = {
'''configuration_clipseg''': [
'''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''CLIPSegConfig''',
... | 74 | 1 |
"""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/licenses/LICENSE-2.0
#
... | 74 |
"""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 FlaxModelTesterMixin, floats_t... | 74 | 1 |
"""simple docstring"""
import math
from collections.abc import Iterator
from itertools import takewhile
def __SCREAMING_SNAKE_CASE ( A_ ):
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all even numbers, all multiple... | 74 |
"""simple docstring"""
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = ""
lowercase__ = (
... | 74 | 1 |
"""simple docstring"""
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
ra... | 74 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ ):
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : int = f'Input value of [number={number}] must be an integer'
raise TypeError(A_ )
if number < 0:
return False
lowerCAmelCase__ : List[Any] = ... | 74 | 1 |
"""simple docstring"""
# Usage:
# ./gen-card-facebook-wmt19.py
import os
from pathlib import Path
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
lowerCAmelCase__ : Tuple = {
'''en''': '''Machine learning is great, isn\'t it?''',
'''ru''': '''Машинное обучени... | 74 |
"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run
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]' whe... | 74 | 1 |
"""simple docstring"""
__UpperCamelCase : Any = '''Tobias Carryer'''
from time import time
class SCREAMING_SNAKE_CASE :
"""simple docstring"""
def __init__( self : Tuple ,lowercase_ : List[Any] ,lowercase_ : int ,lowercase_ ... | 74 |
"""simple docstring"""
__UpperCamelCase : Optional[Any] = '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'''
def __SCREAMING_SNAKE_CASE ( A_ ):
# Make sure the supplied data is a bytes-like object
if not isinstance(A_ , A_ ):
lowerCAmelCase__ : ... | 74 | 1 |
"""simple docstring"""
import warnings
from ...utils import is_sklearn_available, requires_backends
if is_sklearn_available():
from scipy.stats import pearsonr, spearmanr
from sklearn.metrics import fa_score, matthews_corrcoef
__UpperCamelCase : Tuple = (
'''This metric will... | 74 |
"""simple docstring"""
import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
__UpperCamelCase : int = '''%20'''.join(argv[1:]) if len(argv) > 1 else quot... | 74 | 1 |
"""simple docstring"""
from typing import Callable, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__UpperCamelCase : Dict = logging.get_logger(__name__)
__UpperCamelCase : Dict = {
'''microsoft/xprophetnet-large-wiki100-case... | 74 |
"""simple docstring"""
import inspect
import re
from hashlib import shaaaa
from typing import Dict, List
from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sq... | 74 | 1 |
"""simple docstring"""
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ ):
lowerCAmelCase__ : List[Any] = (num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
# formula for sum of series
return total
def __SCREAMING_SNAKE_CASE ( ):
print(sum_of_... | 74 |
"""simple docstring"""
from __future__ import annotations
import math
__UpperCamelCase : Dict = '''2020.9.26'''
__UpperCamelCase : Tuple = '''xcodz-dot, cclaus, dhruvmanila'''
def __SCREAMING_SNAKE_CASE ( A_ , A_ , A_ , A_ , A_ ):
if n... | 74 | 1 |
"""simple docstring"""
import tempfile
import torch
from diffusers import IPNDMScheduler
from .test_schedulers import SchedulerCommonTest
class SCREAMING_SNAKE_CASE ( a_ ):
"""simple docstring"""
lowercase__ = (IPNDMScheduler,)
lowercase__ = (("num_inference_ste... | 74 |
"""simple docstring"""
from typing import List, Optional
from tokenizers import ByteLevelBPETokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer
__UpperCamelCase : Union[str, Any] ... | 74 | 1 |
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