code stringlengths 82 54.1k | code_codestyle int64 0 699 | style_context stringlengths 111 35.6k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
def _lowerCamelCase ( UpperCAmelCase__ ) -> set:
'''simple docstring'''
a__ = set()
# edges = list of graph's edges
a__ = get_edges(lowercase_ )
# While there are still elements in edges list, take an arbitrary edge
# (from_node, to_nod... | 232 |
def UpperCamelCase ( lowercase_ ) -> float:
'''simple docstring'''
if not nums: # Makes sure that the list is not empty
raise ValueError("""List is empty""" )
lowercase__ : int = sum(lowercase_ ) / len(lowercase_ ) # Calculate the average
return sum(abs(x - ... | 12 | 0 |
"""simple docstring"""
import argparse
import os
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed
from acceler... | 178 |
from typing import Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import get_image_size, pad, rescale, to_channel_dimension_format
from ...image_utils import ChannelDimension, ImageInput, make_list_of_images, to_numpy_array, v... | 12 | 0 |
'''simple docstring'''
import re
from pathlib import Path
from unittest import TestCase
import pytest
@pytest.mark.integration
class SCREAMING_SNAKE_CASE( UpperCAmelCase_ ):
"""simple docstring"""
def A ( self : Union[str, Any] , ... | 127 |
# 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
#
# Unless required by... | 12 | 0 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from tokenizers import processors
from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, lo... | 624 |
# 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
#
# Unless required by... | 12 | 0 |
'''simple docstring'''
def _lowerCAmelCase (_lowercase ):
"""simple docstring"""
if not all(char in "01" for char in bin_string ):
raise ValueError("Non-binary value was passed to the function" )
if not bin_string:
raise ValueError("E... | 331 |
import shutil
import tempfile
import unittest
from unittest.mock import patch
from transformers import (
DefaultFlowCallback,
IntervalStrategy,
PrinterCallback,
ProgressCallback,
Trainer,
TrainerCallback,
TrainingArguments,
is_torch_available,
)
from transformers.testin... | 12 | 0 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
a_ : List[str] = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCH... | 439 |
import json
import os
import unittest
from transformers.models.roc_bert.tokenization_roc_bert import (
VOCAB_FILES_NAMES,
RoCBertBasicTokenizer,
RoCBertTokenizer,
RoCBertWordpieceTokenizer,
_is_control,
_is_punctuation,
_is_whitespace,
)
from transformers.testing_utils import... | 12 | 0 |
'''simple docstring'''
import logging
import torch
from torch import nn
from torch.nn import CrossEntropyLoss, MSELoss
from transformers.file_utils import add_start_docstrings, add_start_docstrings_to_model_forward
from transformers.models.bert.modeling_bert import (
BERT_INPUTS_DOCST... | 448 |
from typing import Any, Dict, List, Union
from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if is_vision_available():
from PIL import Image
from ..image_utils import load_image
if is... | 12 | 0 |
def lowerCamelCase__ ( _a , _a):
return numa ^ numa < 0
if __name__ == "__main__":
import doctest
doctest.testmod() | 25 |
def UpperCamelCase ( lowercase_ , lowercase_ , lowercase_ , lowercase_ ) -> List[str]:
'''simple docstring'''
global f # a global dp table for knapsack
if f[i][j] < 0:
if j < wt[i - 1]:
lowercase__ : str = mf_knapsack(i - 1 , lowercase_ , ... | 12 | 0 |
# 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
#
# Unless required by... | 441 |
import argparse
import os
import torch
from transformers import FlavaConfig, FlavaForPreTraining
from transformers.models.flava.convert_dalle_to_flava_codebook import convert_dalle_checkpoint
def UpperCamelCase ( lowercase_ ) -> Union[str, Any]:
'''simple docstring'''
r... | 12 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__magic_name__ : List[str] = {"""configuration_focalnet""": ["""FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", ... | 281 |
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_image_inputs
if is_torch_available():
... | 12 | 0 |
'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Sequence, Value
from .base import TaskTemplate
@dataclass(frozen=UpperCAmelCase_ )
class lowercase_ ( UpperCAmelCase_ ):
'''simple docstring'''
__lowerC... | 447 |
lowerCamelCase__ : dict[tuple[int, int, int], int] = {}
def UpperCamelCase ( lowercase_ , lowercase_ , lowercase_ ) -> int:
'''simple docstring'''
if late == 3 or absent == 2:
return 0
# if we have no days left, and have not failed any other rules,... | 12 | 0 |
"""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
#
# Un... | 232 |
import unittest
import torch
from torch import nn
from accelerate.test_utils import require_cuda
from accelerate.utils.memory import find_executable_batch_size, release_memory
def UpperCamelCase ( ) -> List[Any]:
'''simple docstring'''
raise RuntimeError("""CUDA out of ... | 12 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available
__snake_case = {"""tokenization_herbert""": ["""HerbertTokenizer"""]}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable(... | 178 |
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 UpperCamelCase ( lowercase_ ) -> Any:
'''simple... | 12 | 0 |
'''simple docstring'''
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def snake_case_ ( _lowerCAmelCase : Union[str, Any] ) -> Optional[Any]:
UpperCAmelCase : Dict = FileLock(str(tmpdir / '''foo.lock'''... | 127 |
import json
import os
from dataclasses import dataclass
from functools import partial
from typing import Callable
import flax.linen as nn
import jax
import jax.numpy as jnp
import joblib
import optax
import wandb
from flax import jax_utils, struct, traverse_util
from flax.serialization import from_bytes... | 12 | 0 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import AutoTokenizer, MBartConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configu... | 624 |
lowerCamelCase__ : List[str] = """
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/tra... | 12 | 0 |
'''simple docstring'''
import argparse
import os
import torch
from transformers import FlavaImageCodebook, FlavaImageCodebookConfig
def _lowerCAmelCase (_lowercase , _lowercase , _lowercase , _lowercase ):
"""simple docstring"""
a__ ... | 331 |
import tempfile
import unittest
import numpy as np
import transformers
from transformers import GPTaTokenizer, GPTJConfig, is_flax_available, is_torch_available
from transformers.testing_utils import is_pt_flax_cross_test, require_flax, tooslow
from ...generation.test_flax_utils import FlaxGenerationTeste... | 12 | 0 |
import argparse
import hashlib
import os
import urllib
import warnings
import torch
from torch import nn
from tqdm import tqdm
from transformers import WhisperConfig, WhisperForConditionalGeneration
a_ : int = {
"""tiny.en""": """https://openaipublic.azureedge.net/main/whisper/models/d3dd57d32a... | 439 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class _snake_case ( UpperCAmelCase_ ):
__lowerCAmelCase : Any = ['image_processor', 'tokenizer']
__lowerCAmelCase : Union[str, Any] = 'AutoImageProcessor'
__lowerCAmelCase : ... | 12 | 0 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
if TYPE_CHECKING:
from ... import FeatureExtractionMixin, ... | 448 |
def UpperCamelCase ( lowercase_ ) -> int:
'''simple docstring'''
if n == 1 or not isinstance(lowercase_ , lowercase_ ):
return 0
elif n == 2:
return 1
else:
lowercase__ : List[Any] = [0, 1]
for i in range(2 , n + 1 ):
sequence.appen... | 12 | 0 |
from __future__ import annotations
from typing import TypedDict
class _UpperCamelCase ( UpperCAmelCase_ ):
'''simple docstring'''
lowerCamelCase__ =42
lowerCamelCase__ =42
def lowerCamelCase__ ( _a):
if not isinstance(lowercase_ , lowercase... | 25 |
# 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
#
# Unless required by... | 12 | 0 |
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class UpperCamelCase_ ( UpperCAmelCase_ ):
'''simple docstring'''
UpperCamelCase : Union[str, Any] = ['image_processor', 'to... | 441 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowerCamelCase__ : List[Any] = logging.get_logger(__name__)
lowerCamelCase__ : Union[str, Any] = {
"... | 12 | 0 |
'''simple docstring'''
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : str = logging.get_logger(__name__)
A__ : int = {
"""asapp/sew-tiny-100k""": """https://huggingface.co/asapp/sew-tiny-100k/resolve/main/co... | 13 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
A__ : List[str] = {
"""configuration_gpt_bigcode""": ["""GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTBigCodeConfig"""],
}
try:
... | 13 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 1 |
'''simple docstring'''
import warnings
from transformers import AutoTokenizer
from transformers.utils import is_torch_available
from transformers.utils.generic import ExplicitEnum
from ...processing_utils import ProcessorMixin
if is_torch_available():
import torch
class UpperCAmelCase_ (_Upper... | 13 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 1 |
'''simple docstring'''
from __future__ import annotations
A__ : Dict = 8.988e9 # units = N * m^s * C^-2
def UpperCAmelCase__ ( UpperCAmelCase_ : float , UpperCAmelCase_ : float , UpperCAmelCase_ : float , UpperCAmelCase_ : ... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 1 |
'''simple docstring'''
# XXX: we want transformers master here - in the absense of conftest manipulating sys.path:
# hack it in for now:
import sys
from pathlib import Path
A__ : List[str] = Path(__file__).resolve().parents[3] / """src"""
sys.path.insert(1, str(git_repo_path))
import dataclasses ... | 13 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 1 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 1 |
'''simple docstring'''
A__ : List[str] = [0, 2, 4, 6, 8]
A__ : Union[str, Any] = [1, 3, 5, 7, 9]
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : list[int] , UpperCAmelCase_ ... | 13 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 1 |
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
A__ : Dict = logging.get_logger(__name__)
A__ : int =... | 13 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 1 |
'''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_te... | 13 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 1 |
'''simple docstring'''
from dataclasses import dataclass
from typing import Optional
import torch
from torch import nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin
@datacl... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 1 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int ) -> bool:
if not isinstance(UpperCAmelCase_ , UpperCAmelCase_ ):
raise ValueError('check_bouncy() accepts only integer arguments' )
__lowerCamelCase : Optional[int] ... | 13 |
'''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_te... | 13 | 1 |
'''simple docstring'''
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_tokeniz... | 13 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 1 |
'''simple docstring'''
from functools import reduce
A__ : Union[str, Any] = (
"""73167176531330624919225119674426574742355349194934"""
"""96983520312774506326239578318016984801869478851843"""
"""85861560789112949495459501737958331952853208805511"""
"""12540698747158523863050715693290... | 13 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 1 |
'''simple docstring'''
import argparse
import torch
from safetensors.torch import load_file
from diffusers import StableDiffusionPipeline
def UpperCAmelCase__ ( UpperCAmelCase_ : List[Any] , UpperCAmelCase_ : Any , UpperCAmelCase_ : Union[str, Any] ... | 13 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 1 |
'''simple docstring'''
from __future__ import annotations
from sys import maxsize
from typing import Generic, TypeVar
A__ : Optional[Any] = TypeVar("""T""")
def UpperCAmelCase__ ( UpperCAmelCase_ : int ) -> int:
return (position - 1) // 2
def UpperCAm... | 13 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_50_00_00 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(UpperCAmelCase_ )
__lowerCamelCase : Any ... | 13 | 1 |
'''simple docstring'''
import unittest
from transformers import (
MODEL_FOR_OBJECT_DETECTION_MAPPING,
AutoFeatureExtractor,
AutoModelForObjectDetection,
ObjectDetectionPipeline,
is_vision_available,
pipeline,
)
from transformers.testing_utils import (
is_pipeline_test,
nested_simp... | 13 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFor... | 13 | 1 |
'''simple docstring'''
import itertools
import os
import random
import tempfile
import unittest
import numpy as np
from transformers import TvltFeatureExtractor, is_datasets_available
from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_torchaudio
from transformers.u... | 13 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 1 |
'''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... | 13 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 1 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> str:
if a < 0 or b < 0:
raise ValueError('the value of both inputs must be positive' )
__lowerCamelCase : int = str(bin... | 13 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 1 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_determinism()
@slow
@req... | 13 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 1 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class UpperCAmelCase_ (metaclass=_UpperCAmelCase ):
"""simple docstring"""
lowerCamelCase : Any = ['sentencepiece']
def __init__( self , *SCREAMING_SNAKE_CASE_ , **SCREAMING... | 13 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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
#
# ... | 13 | 1 |
'''simple docstring'''
import logging
import os
import random
import sys
from dataclasses import dataclass, field
from typing import Optional
import datasets
import numpy as np
import pandas as pd
from datasets import load_dataset
import transformers
from transformers import (
AutoConfig,
BartForSequenc... | 13 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 1 |
'''simple docstring'''
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaProcessor,
logging,
... | 13 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 1 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class UpperCAmelCase_ (unit... | 13 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 1 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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
#
# ... | 13 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
A__ : List[Any] = {
"""configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}
... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 1 |
'''simple docstring'''
from ...utils import (
OptionalDependencyNotAvailable,
is_flax_available,
is_torch_available,
is_transformers_available,
)
try:
if not (is_transformers_available() and is_torch_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependency... | 13 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 1 |
'''simple docstring'''
import requests
from bsa import BeautifulSoup
def UpperCAmelCase__ ( UpperCAmelCase_ : str , UpperCAmelCase_ : dict ) -> str:
__lowerCamelCase : List[Any] = BeautifulSoup(requests.get(UpperCAmelCase_ , p... | 13 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 1 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 1 |
'''simple docstring'''
from __future__ import annotations
from collections import Counter
from random import random
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : List[str] = {}
... | 13 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 1 |
'''simple docstring'''
from collections import defaultdict
from math import ceil, sqrt
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00_00_00 , UpperCAmelCase_ : int = 10 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(Upp... | 13 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 1 |
'''simple docstring'''
import flax.linen as nn
import jax.numpy as jnp
from .attention_flax import FlaxTransformeraDModel
from .resnet_flax import FlaxDownsampleaD, FlaxResnetBlockaD, FlaxUpsampleaD
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : i... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 1 |
'''simple docstring'''
import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional
import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset
from tr... | 13 |
'''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_te... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
A__ : Optional[int] = {
"""configuration_transfo_xl""": ["""TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TransfoXLConfig"""],
"""... | 13 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 1 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int ) -> bool:
return str(UpperCAmelCase_ ) == str(UpperCAmelCase_ )[::-1]
def UpperCAmelCase__ ( UpperCAmelCase_ : int ) -> int:
return int(UpperCAmelCase_ ) + int... | 13 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 1 |
'''simple docstring'''
import datasets
import faiss
import numpy as np
import streamlit as st
import torch
from elasticsearch import Elasticsearch
from elia_utils import (
embed_questions_for_retrieval,
make_qa_sas_model,
qa_sas_generate,
query_es_index,
query_qa_dense_index,
)
import transfo... | 13 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
A__ : Optional[int] = {
"""configuration_nezha""": ["""NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NezhaConfig"""],
}
try:
... | 13 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_50_00_00 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(UpperCAmelCase_ )
__lowerCamelCase : Any ... | 13 | 1 |
'''simple docstring'''
from math import loga
def UpperCAmelCase__ ( UpperCAmelCase_ : int ) -> int:
if a < 0:
raise ValueError('Input value must be a positive integer' )
elif isinstance(UpperCAmelCase_ , UpperCAmelCase_ ):
raise TypeErro... | 13 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFor... | 13 | 1 |
'''simple docstring'''
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
A__ : int = logging.get_logger(__name__)
A__ : Optional[Any] = {
"""ut/deta""": """https://huggingface.co/ut/deta/resolve/main/con... | 13 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 1 |
'''simple docstring'''
from graphs.minimum_spanning_tree_kruskal import kruskal
def UpperCAmelCase__ ( ) -> str:
__lowerCamelCase : Optional[Any] = 9
__lowerCamelCase : str = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],... | 13 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 1 |
'''simple docstring'''
import collections
import gzip
import os
import urllib
import numpy
from tensorflow.python.framework import dtypes, random_seed
from tensorflow.python.platform import gfile
from tensorflow.python.util.deprecation import deprecated
A__ : List[Any] = collections.namedtuple("""_... | 13 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 1 |
'''simple docstring'''
import argparse
import os
import jax as jnp
import numpy as onp
import torch
import torch.nn as nn
from music_spectrogram_diffusion import inference
from tax import checkpoints
from diffusers import DDPMScheduler, OnnxRuntimeModel, SpectrogramDiffusionPipeline
from diffusers.pipelines.spe... | 13 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available
A__ : Dict = {}
try:
if not is_sentencepiece_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvai... | 13 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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
#
# ... | 13 | 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... | 13 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 1 |
'''simple docstring'''
import torch
from transformers import CamembertForMaskedLM, CamembertTokenizer
def UpperCAmelCase__ ( UpperCAmelCase_ : Tuple , UpperCAmelCase_ : Any , UpperCAmelCase_ : List[str] , UpperCAmelCase_ : Optional[... | 13 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 1 |
'''simple docstring'''
from typing import Any, Dict, List, Union
from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if is_vision_available():
from PIL import Image
from ..image_utils import... | 13 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 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,
DistilBe... | 13 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 1 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 1 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
A__ : str = list[list[float | int]]
def UpperCAmelCase__ ( UpperCAmelCase_ : Matrix , UpperCAmelCase_ : Matrix ) -> Matrix:
__lowerCamelCase : ... | 13 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 1 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 1 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int ) -> int:
if not isinstance(UpperCAmelCase_ , UpperCAmelCase_ ):
__lowerCamelCase : Union[str, Any] = F'Input value of [number={number}] must be an integer'
... | 13 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 1 |
'''simple docstring'''
import json
import os
from typing import Dict, List, Optional, Tuple
import regex as re
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : int = {
"""vocab_file""": """vocab.... | 13 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 1 |
'''simple docstring'''
from . import (
albert,
align,
altclip,
audio_spectrogram_transformer,
auto,
autoformer,
bark,
bart,
barthez,
bartpho,
beit,
bert,
bert_generation,
bert_japanese,
bertweet,
big_bird,
bigbird_pegasus,
biogpt,
bit,
... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 1 |
'''simple docstring'''
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixi... | 13 |
'''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_te... | 13 | 1 |
'''simple docstring'''
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.testing_utils import requi... | 13 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 1 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> float:
if not nums: # Makes sure that the list is not empty
raise ValueError('List is empty' )
__lowerCamelCase : Union[str, Any] = sum(UpperCAmelCase_ ... | 13 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 1 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 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
if is_torch_available():
impor... | 13 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_50_00_00 ) -> int:
__lowerCamelCase : defaultdict = defaultdict(UpperCAmelCase_ )
__lowerCamelCase : Any ... | 13 | 1 |
'''simple docstring'''
import json
import pathlib
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prep... | 13 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFor... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
A__ : List[Any] = {
"""configuration_falcon""": ["""FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FalconConfig"""],
}
try:
if not i... | 13 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 13 | 1 |
'''simple docstring'''
import argparse
import torch
from torch import nn
from transformers import SpeechaTextConfig, SpeechaTextForConditionalGeneration
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[Any] ) -> Dict:
__lowerCamelCase : Any = [
... | 13 |
'''simple docstring'''
import re
from typing import Callable, List, Optional, Union
import tensorflow as tf
try:
from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
from tensorflow.keras.optimizers import Adam
class UpperCAmelCase_ (tf.keras.optimizers.schedules.Learni... | 13 | 1 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 |
'''simple docstring'''
import collections
import inspect
import unittest
from typing import Dict, List, Tuple
from transformers import MaskFormerSwinConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, torch_device
from transformers.utils import is_torch_available
from ...test_b... | 13 | 1 |
'''simple docstring'''
import math
import os
import sys
def UpperCAmelCase__ ( UpperCAmelCase_ : str ) -> str:
__lowerCamelCase : List[str] = ''
try:
with open(UpperCAmelCase_ , 'rb' ) as binary_file:
__lowerCam... | 13 |
'''simple docstring'''
from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core
# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checke... | 13 | 1 |
'''simple docstring'''
from math import asin, atan, cos, radians, sin, sqrt, tan
A__ : List[Any] = 6_3_7_8_1_3_7.0
A__ : Any = 6_3_5_6_7_5_2.3_1_4_2_4_5
A__ : Optional[Any] = 6378137
def UpperCAmelCase__ ( UpperCAmelCase_ : float , UpperCAme... | 13 |
'''simple docstring'''
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# 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
#
# ... | 13 | 1 |
'''simple docstring'''
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class UpperCAmelCase_ (_UpperCAmelCase ):
"""simple docstring"""
lowerCamelCase : Tuple = ['image_processor', 'tokenizer']
lo... | 13 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
A__ : Tuple = namedtuple("""covid_data""", """cases deaths recovered""")
def UpperCAmelCase__ ( UpperCAmelCase_ : str = "https://www.worldometers.info/coronavir... | 13 | 1 |
'''simple docstring'''
import json
import os
import pickle
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch
import numpy as np
from datasets import Dataset
from transformers import is_faiss_available
from transformers.models.bart.configuration_bart import BartConfig
fr... | 13 |
'''simple docstring'''
from __future__ import annotations
import os
from collections.abc import Mapping
A__ : Optional[Any] = tuple[int, int]
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 13 | 1 |
'''simple docstring'''
from decimal import Decimal, getcontext
from math import ceil, factorial
def UpperCAmelCase__ ( UpperCAmelCase_ : int ) -> str:
if not isinstance(UpperCAmelCase_ , UpperCAmelCase_ ):
raise TypeError('Undefined for non-integers' ... | 13 |
'''simple docstring'''
from collections.abc import Generator
from math import sin
def UpperCAmelCase__ ( UpperCAmelCase_ : bytes ) -> bytes:
if len(UpperCAmelCase_ ) != 32:
raise ValueError('Input must be of length 32' )
__lowerCamelCase : Dict ... | 13 | 1 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def UpperCAmelCase__ ( ) -> List[Any]:
__lowerCamelCase : List[Any] = ArgumentParser(... | 13 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : Tuple = logging.get_logger(__name__)
A__ : Dict = {
"""RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
"""RWKV/r... | 13 | 1 |
'''simple docstring'''
import random
from .binary_exp_mod import bin_exp_mod
def UpperCAmelCase__ ( UpperCAmelCase_ : Tuple , UpperCAmelCase_ : Union[str, Any]=10_00 ) -> Union[str, Any]:
if n < 2:
return False
if n % 2 == 0:
ret... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 10_00 ) -> int:
__lowerCamelCase : Union[str, Any] = 3
__lowerCamelCase : Dict = 0
while a < n:
if a % 3 == 0 or a % 5 == 0:
... | 13 | 1 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | 13 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import XGLMConfig, XGLMTokenizer, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ... | 13 | 1 |
'''simple docstring'''
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging
A__ : Dict =... | 13 |
'''simple docstring'''
from dataclasses import asdict, dataclass
from typing import Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
A__ : List[str] = logging.get_logger(__name__)
# TODO Update this
A__ : Tuple = {
"""facebook/esm-1b""": "... | 13 | 1 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : str ) -> bool:
__lowerCamelCase : Dict = [int(UpperCAmelCase_ ) for i in ip_va_address.split('.' ) if i.isdigit()]
return len(UpperCAmelCase_ ) == 4 and all(0 <= int(UpperCAme... | 13 |
'''simple docstring'''
A__ : dict[tuple[int, int, int], int] = {}
def UpperCAmelCase__ ( UpperCAmelCase_ : int , UpperCAmelCase_ : int , UpperCAmelCase_ : int ) -> int:
# if we are absent twice, or late 3 consecutive days,
... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
A__ : List[str] = {"""configuration_opt""": ["""OPT_PRETRAINED_CONF... | 13 |
'''simple docstring'''
# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union
A__ : Any = re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")
@total_ordering
@data... | 13 | 1 |
'''simple docstring'''
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
A__ : Dict = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
A__ : Optional[Any] = typing.Union[np.floataa, int, float] # noqa: UP00... | 13 |
'''simple docstring'''
import sys
from collections import defaultdict
class UpperCAmelCase_ :
"""simple docstring"""
def __init__( self ) -> int:
__lowerCamelCase : Any = []
def lowercase_ ( self , SCREAMING_SNAKE... | 13 | 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
A__ : Dict = logging.get_logger(__name__)
A__ : List[str] ... | 13 |
'''simple docstring'''
def UpperCAmelCase__ ( UpperCAmelCase_ : int = 1_00 ) -> int:
__lowerCamelCase : Union[str, Any] = n * (n + 1) * (2 * n + 1) / 6
__lowerCamelCase : Union[str, Any] = (n * (n + 1) / 2) ** 2
return ... | 13 | 1 |
'''simple docstring'''
import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple
import numpy as np
from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import... | 13 |
'''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_te... | 13 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import _LazyModule
A__ : str = {"""tokenization_byt5""": ["""ByT5Tokenizer"""]}
if TYPE_CHECKING:
from .tokenization_byta import ByTaTokenizer
else:
import sys
A__ : Optional[Any] = _LazyModule(... | 13 |
'''simple docstring'''
import argparse
A__ : Optional[Any] = """docs/source/_static/js/custom.js"""
def UpperCAmelCase__ ( UpperCAmelCase_ : Optional[int] ) -> int:
with open(UpperCAmelCase_ , encoding='utf-8' , newline='\n' ) as f:
_... | 13 | 1 |
'''simple docstring'''
# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile
from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Ve... | 13 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class UpperCAmelCase_ (nn.Module ):
"""simple docstring"""
lowerCamelCase : int
lowerCamelCase : jnp.dtype = jnp.floataa
def lowercase_ ( self ) -... | 13 | 1 |
'''simple docstring'''
from typing import Optional, Tuple, Union
import torch
from einops import rearrange, reduce
from diffusers import DDIMScheduler, DDPMScheduler, DiffusionPipeline, ImagePipelineOutput, UNetaDConditionModel
from diffusers.schedulers.scheduling_ddim import DDIMSchedulerOutput
from diffusers.... | 13 |
'''simple docstring'''
from __future__ import annotations
A__ : int = 10
def UpperCAmelCase__ ( UpperCAmelCase_ : list[int] ) -> list[int]:
__lowerCamelCase : List[Any] = 1
__lowerCamelCase : Any = max(Upper... | 13 | 1 |
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