code stringlengths 81 54k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
import json
import os
import tempfile
import transformers
import datasets
from utils import generate_example_dataset, get_duration
UpperCamelCase = 500_000
UpperCamelCase , UpperCamelCase = os.path.split(__file__)
UpperCamelCase = os.path.join(RESULTS_BASEPATH, "results", RESULTS_FILENAME.replace(... | 677 |
from __future__ import annotations
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase=None ):
_lowercase : int = data
_lowercase : Union[str, Any] = None
def __repr__( self ):
_lowercase ... | 677 | 1 |
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> str:
if not isinstance(SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ):
raise ValueError('iterations must be defined as integers' )
if not isinstance(SCREAMING_SNAKE_C... | 677 |
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
UpperCamelCase = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
UpperCamelCase = typing.Union[np.floataa, int, float] # noqa: UP007
def __magic_name__ ( SC... | 677 | 1 |
import uuid
from typing import Any, Dict, List, Optional, Union
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
if is_torch_available():
import torch
UpperCamelCas... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase = {
"configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}
try:
if not is_torch_available():
raise OptionalDependencyN... | 677 | 1 |
from __future__ import annotations
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
_lowercase : Any = str(SCREAMING_SNAKE_CASE )
return n == n[::-1]
def __magic_name__ ( SCREAMING_SNAKE_CASE = 1_000_000 ) ... | 677 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
UpperCamelCase = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
UpperCamelCase = {
... | 677 | 1 |
import argparse
import os
from transformers.utils import direct_transformers_import
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_task_guides.py
UpperCamelCase = "src/transformers"
UpperCamelCase = "docs/source/en/tasks"
... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_blenderbot": [
"BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_... | 677 | 1 |
import qiskit
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> qiskit.result.counts.Counts:
_lowercase : Union[str, Any] = qiskit.Aer.get_backend('aer_simulator' )
# Create a Quantum Circuit acting on the q r... | 677 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
HubertConfig,
HubertForCTC,
HubertModel,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaProcessor,
logging,
)
logging.set_verbosity_info()
Uppe... | 677 | 1 |
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 = logging.get_logger(__name__)
UpperCamelCase = {
"google/vit-base-patch16-224... | 677 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, r... | 677 | 1 |
import time
from contextlib import contextmanager
from pathlib import Path
import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder
UpperCamelCase = "__DUMMY_TRANSFORMERS_USER__"
UpperCamelCase = "Dummy User"
UpperCamelCase = "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"
UpperCamel... | 677 |
import os
import unittest
from huggingface_hub.utils import are_progress_bars_disabled
import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, e... | 677 | 1 |
import json
import os
import tempfile
import unittest
import numpy as np
from datasets import load_dataset
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 ImageProcessi... | 677 |
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common import TokenizerTest... | 677 | 1 |
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_DOCSTRING,
BERT_START_DOCSTRING,
BertEncod... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
UpperCamelCase = {
"configuration_conditional_detr": [
"CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
"ConditionalDetrConfig",
"Condition... | 677 | 1 |
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from ...utils import deprecate
from ..controlnet.multicontrolnet import MultiControlNetModel # noqa: F401
from ..controlnet.pipeline_controlnet ... | 677 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase_ ( __snake_case ):
_UpperCamelCase : Tuple = "ClapFeatureExtractor"
_UpperCamelCase : Optional[int] = ("RobertaTokenizer", "RobertaTok... | 677 | 1 |
# 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-2.0
#
# Unless required ... | 677 |
from __future__ import annotations
from typing import Any
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
_lowercase : Any = num_of_nodes
_lowercase : list[list[int]] = []
_lowercase : ... | 677 | 1 |
import unittest
from typing import Tuple
import torch
from diffusers.utils import floats_tensor, randn_tensor, torch_all_close, torch_device
from diffusers.utils.testing_utils import require_torch
@require_torch
class lowerCAmelCase_ :
@property
def __a ( self ):
return s... | 677 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> Optional[Any]:
_lowercase : Tuple ... | 677 | 1 |
import subprocess
import sys
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
from transformers.testing_utils import TestCasePlus, require_torch
class lowerCAmelCase_ ( __snake_case ):
@require_torch
def __a ( self ):
# this test is a bit tricky sin... | 677 |
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers import BartForConditionalGeneration, BartToke... | 677 | 1 |
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> Union[str, Any]:
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_code )
class ... | 677 |
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFM... | 677 | 1 |
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> list:
def merge(SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> list:
def _merge():
while left and right:
yield (left if left[0] <= right[0] else right).po... | 677 |
import qiskit
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> qiskit.result.counts.Counts:
_lowercase : Union[str, Any] = qiskit.Aer.get_backend('aer_simulator' )
# Create a Quantum Circuit acting on the q r... | 677 | 1 |
import socket
def __magic_name__ ( ) -> str:
_lowercase : Union[str, Any] = socket.socket(socket.AF_INET , socket.SOCK_STREAM )
_lowercase : str = socket.gethostname()
_lowercase : List[Any] ... | 677 |
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotSmallConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_common import FlaxModel... | 677 | 1 |
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"asapp/sew-d-tiny-100k": "https://huggingface.co/asapp/sew-d-tiny-100k/resolve/main/config.json",
# See all SEW-D mo... | 677 |
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging
if TYPE_CHECKING:
from ...onnx.config import PatchingSpec
from ...... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCamelCase = {
"configuration_perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig", "Perc... | 677 |
from __future__ import annotations
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
return len(set(SCREAMING_SNAKE_CASE ) ) == len(SCREAMING_SNAKE_CASE )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 677 | 1 |
import warnings
from ...utils import logging
from .image_processing_flava import FlavaImageProcessor
UpperCamelCase = logging.get_logger(__name__)
class lowerCAmelCase_ ( __snake_case ):
def __init__( self , *_lowerCAmelCase , **_lowerCAmelCase ):
warnings.warn(
... | 677 |
import math
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE = 0 , SCREAMING_SNAKE_CASE = 0 ) -> list:
_lowercase : List[str] = end or len(SCREAMING_SNAKE_CASE )
for i in range(SCREAMING_SNAKE_CASE , SC... | 677 | 1 |
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common import TokenizerTest... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCamelCase = {
"configuration_clip": [
"CLIP_PRETRAINED_CO... | 677 | 1 |
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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
Uppe... | 677 |
from collections.abc import Sequence
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> float:
return sum(c * (x**i) for i, c in enumerate(SCREAMING_SNAKE_CASE ) )
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREA... | 677 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
class lowerCAmelCase_ ( __snake_case ):
_UpperCamelCase : Optional[int] = "timm_backbone"
def __init__( self , _lowerCAmelCase=None , ... | 677 |
from __future__ import annotations
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase=None ):
_lowercase : int = data
_lowercase : Union[str, Any] = None
def __repr__( self ):
_lowercase ... | 677 | 1 |
import enum
import os
from hashlib import shaaaa
from typing import Optional
from .. import config
from .logging import get_logger
UpperCamelCase = get_logger(__name__)
class lowerCAmelCase_ ( enum.Enum ):
_UpperCamelCase : Dict = "all_checks"
_UpperCamelCase : ... | 677 |
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
UpperCamelCase = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
UpperCamelCase = typing.Union[np.floataa, int, float] # noqa: UP007
def __magic_name__ ( SC... | 677 | 1 |
import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union
import numpy as np
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> np.array:
_lowercase : str = F"""{sampling_rate}"""
_l... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase = {
"configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}
try:
if not is_torch_available():
raise OptionalDependencyN... | 677 | 1 |
import argparse
import json
import logging
import os
import sys
from unittest.mock import patch
from transformers.testing_utils import TestCasePlus, get_gpu_count, slow
UpperCamelCase = [
os.path.join(os.path.dirname(__file__), dirname)
for dirname in [
"text-classification",
"langu... | 677 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
UpperCamelCase = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
UpperCamelCase = {
... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_electra": ["ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP", "ElectraC... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_blenderbot": [
"BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_... | 677 | 1 |
import math
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> int:
_lowercase : int = len(SCREAMING_SNAKE_CASE )
_lowercase : Any = int(math.floor(math.sqrt(SCREAMING_SNAKE_CASE )... | 677 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
HubertConfig,
HubertForCTC,
HubertModel,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaProcessor,
logging,
)
logging.set_verbosity_info()
Uppe... | 677 | 1 |
from dataclasses import dataclass, field
from typing import Optional
from transformers import AutoConfig, AutoImageProcessor, AutoTokenizer, FlaxVisionEncoderDecoderModel, HfArgumentParser
@dataclass
class lowerCAmelCase_ :
_UpperCamelCase : str = field(
metadata={"help"... | 677 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, r... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_blenderbot": [
"BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_... | 677 |
import os
import unittest
from huggingface_hub.utils import are_progress_bars_disabled
import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, e... | 677 | 1 |
import inspect
import unittest
from transformers import ConvNextVaConfig
from transformers.models.auto import get_values
from transformers.models.auto.modeling_auto import MODEL_FOR_BACKBONE_MAPPING_NAMES, MODEL_MAPPING_NAMES
from transformers.testing_utils import require_torch, require_vision, slow, torch_devi... | 677 |
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common import TokenizerTest... | 677 | 1 |
import math
import unittest
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
assert isinstance(SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) and (
number >= 0
), "'number' must been an int and positive"
if 1 < number < 4:
... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
UpperCamelCase = {
"configuration_conditional_detr": [
"CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
"ConditionalDetrConfig",
"Condition... | 677 | 1 |
import warnings
from .generation import TFGenerationMixin
class lowerCAmelCase_ ( __snake_case ):
# warning at import time
warnings.warn(
"Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will "
"be removed in Transformers v5. Impor... | 677 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase_ ( __snake_case ):
_UpperCamelCase : Tuple = "ClapFeatureExtractor"
_UpperCamelCase : Optional[int] = ("RobertaTokenizer", "RobertaTok... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available
UpperCamelCase = {
"configuration_transfo_xl": ["TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP", "TransfoXLConfig"],
"tokenization_transfo_xl": ["TransfoXLCorpus", "Tran... | 677 |
from __future__ import annotations
from typing import Any
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
_lowercase : Any = num_of_nodes
_lowercase : list[list[int]] = []
_lowercase : ... | 677 | 1 |
from __future__ import annotations
from collections.abc import Generator
def __magic_name__ ( ) -> Generator[int, None, None]:
_lowercase : dict[int, int] = {}
_lowercase : Tuple = 2
while True:
_lower... | 677 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> Optional[Any]:
_lowercase : Tuple ... | 677 | 1 |
import logging
import math
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union
import torch
from .tensor_utils import tensor_tree_map, tree_map
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> List[Tuple[int, ...]]... | 677 |
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers import BartForConditionalGeneration, BartToke... | 677 | 1 |
import unittest
from transformers import TrOCRConfig
from transformers.testing_utils import is_torch_available, require_torch, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_... | 677 |
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFM... | 677 | 1 |
from typing import List, Optional, TypeVar
from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _... | 677 |
import qiskit
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> qiskit.result.counts.Counts:
_lowercase : Union[str, Any] = qiskit.Aer.get_backend('aer_simulator' )
# Create a Quantum Circuit acting on the q r... | 677 | 1 |
import argparse
import json
import os
import time
import zipfile
from get_ci_error_statistics import download_artifact, get_artifacts_links
from transformers import logging
UpperCamelCase = logging.get_logger(__name__)
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CAS... | 677 |
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotSmallConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_common import FlaxModel... | 677 | 1 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import (
BertTokenizer,
ViltConfig,
ViltForImageAndTextRetrieval,
ViltForImagesAndTextClassification,
ViltForMaskedLM,
Vi... | 677 |
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging
if TYPE_CHECKING:
from ...onnx.config import PatchingSpec
from ...... | 677 | 1 |
import argparse
from collections import defaultdict
import yaml
UpperCamelCase = "docs/source/en/_toctree.yml"
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> str:
_lowercase : List[Any] = defaultdict(SCREAMING_SNAKE_CASE )
_lowerc... | 677 |
from __future__ import annotations
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
return len(set(SCREAMING_SNAKE_CASE ) ) == len(SCREAMING_SNAKE_CASE )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 677 | 1 |
from __future__ import annotations
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase=None ):
_lowercase : int = data
_lowercase : Union[str, Any] = None
def __repr__( self ):
_lowercase ... | 677 |
import math
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE = 0 , SCREAMING_SNAKE_CASE = 0 ) -> list:
_lowercase : List[str] = end or len(SCREAMING_SNAKE_CASE )
for i in range(SCREAMING_SNAKE_CASE , SC... | 677 | 1 |
UpperCamelCase = {
"meter": "m",
"kilometer": "km",
"megametre": "Mm",
"gigametre": "Gm",
"terametre": "Tm",
"petametre": "Pm",
"exametre": "Em",
"zettametre": "Zm",
"yottametre": "Ym",
}
# Exponent of the factor(meter)
UpperCamelCase = {
"m": 0,
"km": 3,
"Mm... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCamelCase = {
"configuration_clip": [
"CLIP_PRETRAINED_CO... | 677 | 1 |
import inspect
import math
import tempfile
import unittest
import numpy as np
from transformers import ViTMAEConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_conf... | 677 |
from collections.abc import Sequence
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> float:
return sum(c * (x**i) for i, c in enumerate(SCREAMING_SNAKE_CASE ) )
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREA... | 677 | 1 |
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_flax_common import Fl... | 677 |
from __future__ import annotations
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase=None ):
_lowercase : int = data
_lowercase : Union[str, Any] = None
def __repr__( self ):
_lowercase ... | 677 | 1 |
import inspect
import os
import unittest
from dataclasses import dataclass
import torch
from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda, require_multi_gpu
f... | 677 |
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
UpperCamelCase = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
UpperCamelCase = typing.Union[np.floataa, int, float] # noqa: UP007
def __magic_name__ ( SC... | 677 | 1 |
import os
from typing import List, Optional, Union
from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {"vocab_file": "vocab.txt"}
UpperCamelCase = {
"... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase = {
"configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}
try:
if not is_torch_available():
raise OptionalDependencyN... | 677 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"facebook/convnextv2-tiny-1k-224": "https://huggingfac... | 677 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
UpperCamelCase = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
UpperCamelCase = {
... | 677 | 1 |
import os
import shutil
from pathlib import Path
from typing import Optional, Union
import numpy as np
from huggingface_hub import hf_hub_download
from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging
if is_onnx_available():
import onnxruntime as ort
UpperCame... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_blenderbot": [
"BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_... | 677 | 1 |
import argparse
import collections
import numpy as np
import torch
from flax import traverse_util
from tax import checkpoints
from transformers import MTaConfig, UMTaEncoderModel, UMTaForConditionalGeneration
from transformers.utils import logging
logging.set_verbosity_info()
def __magic_name__ ... | 677 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
HubertConfig,
HubertForCTC,
HubertModel,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaProcessor,
logging,
)
logging.set_verbosity_info()
Uppe... | 677 | 1 |
import inspect
from typing import Callable, List, Optional, Union
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextModel,
CLIPTokenizer,
WhisperForConditionalGeneration,
WhisperProcessor,
)
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipelin... | 677 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, r... | 677 | 1 |
import copy
from typing import Dict, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig
UpperCamelCase = {
"facebook/maskformer-swin-base-ade": (
"https://hugging... | 677 |
import os
import unittest
from huggingface_hub.utils import are_progress_bars_disabled
import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, e... | 677 | 1 |
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ... | 677 |
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common import TokenizerTest... | 677 | 1 |
import os
def __magic_name__ ( ) -> Any:
_lowercase : Optional[int] = os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE ) , 'num.txt' )
with open(SCREAMING_SNAKE_CASE ) as file_hand:
return str(sum(int(SCREAMIN... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
UpperCamelCase = {
"configuration_conditional_detr": [
"CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
"ConditionalDetrConfig",
"Condition... | 677 | 1 |
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"facebook/wav2vec2-base-960h": "https://huggingface.co/facebook/wav2vec2-base-960h/resolve/main/config.json",
# See ... | 677 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase_ ( __snake_case ):
_UpperCamelCase : Tuple = "ClapFeatureExtractor"
_UpperCamelCase : Optional[int] = ("RobertaTokenizer", "RobertaTok... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available
UpperCamelCase = {
"configuration_longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config", "LongT5OnnxConfig"],
}
try:
if not is_torch_available():
... | 677 |
from __future__ import annotations
from typing import Any
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
_lowercase : Any = num_of_nodes
_lowercase : list[list[int]] = []
_lowercase : ... | 677 | 1 |
import logging
import numpy as np
import pytest
from scipy.linalg import eigh
logging.basicConfig(level=logging.INFO, format="%(message)s")
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> np.ndarray:
return input_array.reshape((input_array.size, 1) )
def ... | 677 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> Optional[Any]:
_lowercase : Tuple ... | 677 | 1 |
import unittest
from knapsack import knapsack as k
class lowerCAmelCase_ ( unittest.TestCase ):
def __a ( self ):
_lowercase : Tuple = 0
_lowercase : Optional[Any] = [0]
_lowercase : List[str] ... | 677 |
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers import BartForConditionalGeneration, BartToke... | 677 | 1 |
from __future__ import annotations
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
return len(set(SCREAMING_SNAKE_CASE ) ) == len(SCREAMING_SNAKE_CASE )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 677 |
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFM... | 677 | 1 |
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 RoFormerTokenizer
from .tok... | 677 |
import qiskit
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> qiskit.result.counts.Counts:
_lowercase : Union[str, Any] = qiskit.Aer.get_backend('aer_simulator' )
# Create a Quantum Circuit acting on the q r... | 677 | 1 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase_ ( __snake_case ):
_UpperCamelCase : Tuple = "ClapFeatureExtractor"
_UpperCamelCase : Optional[int] = ("RobertaTokenizer", "RobertaTok... | 677 |
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotSmallConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_common import FlaxModel... | 677 | 1 |
from __future__ import annotations
from typing import Any
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
_lowercase : Any = num_of_nodes
_lowercase : list[list[int]] = []
_lowercase : ... | 677 |
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging
if TYPE_CHECKING:
from ...onnx.config import PatchingSpec
from ...... | 677 | 1 |
# Lint as: python3
import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING
import numpy as np
import pyarrow as pa
from .. import config
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter
if TYPE_CHECKING:
import torch
class lowerCAmelCase_ ... | 677 |
from __future__ import annotations
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
return len(set(SCREAMING_SNAKE_CASE ) ) == len(SCREAMING_SNAKE_CASE )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 677 | 1 |
import warnings
from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor
UpperCamelCase = logging.get_logger(__name__)
class lowerCAmelCase_ ( __snake_case ):
def __init__( self , *_lowerCAmelCase , **_lowerCAmelCase ):
warnings.warn(
... | 677 |
import math
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE = 0 , SCREAMING_SNAKE_CASE = 0 ) -> list:
_lowercase : List[str] = end or len(SCREAMING_SNAKE_CASE )
for i in range(SCREAMING_SNAKE_CASE , SC... | 677 | 1 |
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> None:
_lowercase : str = len(SCREAMING_SNAKE_CASE )
print('The following activities are selected:' )
# The first activity is always selected
_low... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCamelCase = {
"configuration_clip": [
"CLIP_PRETRAINED_CO... | 677 | 1 |
from graphs.minimum_spanning_tree_kruskal import kruskal
def __magic_name__ ( ) -> List[str]:
_lowercase : Optional[Any] = 9
_lowercase : Optional[int] = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
... | 677 |
from collections.abc import Sequence
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> float:
return sum(c * (x**i) for i, c in enumerate(SCREAMING_SNAKE_CASE ) )
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREA... | 677 | 1 |
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
if not isinstance(SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ):
raise ValueError('check_bouncy() accepts only integer arguments' )
_lowercase : str = str(SCREAMIN... | 677 |
from __future__ import annotations
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase=None ):
_lowercase : int = data
_lowercase : Union[str, Any] = None
def __repr__( self ):
_lowercase ... | 677 | 1 |
from typing import List, Optional, Tuple
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {"vocab_file": "vocab.json", "merges_file": "merges.txt"... | 677 |
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
UpperCamelCase = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
UpperCamelCase = typing.Union[np.floataa, int, float] # noqa: UP007
def __magic_name__ ( SC... | 677 | 1 |
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
# we need a list not a string, so do something to change the type
_lowercase : Any = arr.split(',' )
def __a ( self ):
_lowercase : Dict ... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase = {
"configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}
try:
if not is_torch_available():
raise OptionalDependencyN... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
UpperCamelCase = {
"configuration_swiftformer": [
"SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"SwiftFormerConfig",
"SwiftFormerOnnxConfig",
... | 677 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
UpperCamelCase = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
UpperCamelCase = {
... | 677 | 1 |
import copy
import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available
from ...test_backbone_co... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_blenderbot": [
"BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_... | 677 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/config.json",
"google/fnet-large": "https://huggingface.co/google/fnet-large... | 677 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
HubertConfig,
HubertForCTC,
HubertModel,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaProcessor,
logging,
)
logging.set_verbosity_info()
Uppe... | 677 | 1 |
import unittest
from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch
class lowerCAmelCase_ ( unittest.TestCase ):
_UpperCamelCase : Any = JukeboxTokenizer
_UpperCamelCase : Optional[Any] = {
"artist": "Za... | 677 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, r... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_distilbert": [
"DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_... | 677 |
import os
import unittest
from huggingface_hub.utils import are_progress_bars_disabled
import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, e... | 677 | 1 |
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configuration_common import Confi... | 677 |
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common import TokenizerTest... | 677 | 1 |
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
_lowercase : Tuple = n
_lowercase : str = [None] * self.n
_lowercase : Union[str, Any] = 0 # index of the first element... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
UpperCamelCase = {
"configuration_conditional_detr": [
"CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
"ConditionalDetrConfig",
"Condition... | 677 | 1 |
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
UpperCamelCase = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
UpperCamelCase = typing.Union[np.floataa, int, float] # noqa: UP007
def __magic_name__ ( SC... | 677 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase_ ( __snake_case ):
_UpperCamelCase : Tuple = "ClapFeatureExtractor"
_UpperCamelCase : Optional[int] = ("RobertaTokenizer", "RobertaTok... | 677 | 1 |
import os
import unittest
from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
VOCAB_FILES_NAMES,
BasicTokenizer,
BertTokenizer,
WordpieceTokenizer,
_is_control,
_is_punctuation,
_is_whitespace,
)
from transformers.testing_utils import r... | 677 |
from __future__ import annotations
from typing import Any
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
_lowercase : Any = num_of_nodes
_lowercase : list[list[int]] = []
_lowercase : ... | 677 | 1 |
import os
from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home
UpperCamelCase = HUGGINGFACE_HUB_CACHE
UpperCamelCase = "config.json"
UpperCamelCase = "diffusion_pytorch_model.bin"
UpperCamelCase = "diffusion_flax_model.msgpack"
UpperCamelCase = "model.onnx"
UpperCamelCas... | 677 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> Optional[Any]:
_lowercase : Tuple ... | 677 | 1 |
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> int:
_lowercase : Optional[Any] = 1
for i in range(1 , num + 1 ):
fact *= i
return fact
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> i... | 677 |
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers import BartForConditionalGeneration, BartToke... | 677 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCamelCase = logging.get_logger(__name__)
UpperCamelCase = {
"transfo-xl-wt103": "https://huggingface.co/transfo-xl-wt103/resolve/main/config.json",
}
class lowerCAmelCase_ ( __snake_case ):
_UpperCame... | 677 |
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFM... | 677 | 1 |
import requests
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> None:
_lowercase : Union[str, Any] = {'Content-Type': 'application/json'}
_lowercase : Dict = requests.post(SCREAMING_SNAKE_C... | 677 |
import qiskit
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> qiskit.result.counts.Counts:
_lowercase : Union[str, Any] = qiskit.Aer.get_backend('aer_simulator' )
# Create a Quantum Circuit acting on the q r... | 677 | 1 |
import logging
from transformers import PretrainedConfig
UpperCamelCase = logging.getLogger(__name__)
UpperCamelCase = {
"bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}
class lowerCAmelCase_ ... | 677 |
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotSmallConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_common import FlaxModel... | 677 | 1 |
import argparse
import datetime
import json
import time
import warnings
from logging import getLogger
from pathlib import Path
from typing import Dict, List
import torch
from tqdm import tqdm
from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from utils import calculate_bleu, calculate_rouge, chunks... | 677 |
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import TensorType, logging
if TYPE_CHECKING:
from ...onnx.config import PatchingSpec
from ...... | 677 | 1 |
import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory
from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
convert,
ensure_valid_input,
generate_identified_filename,
infer... | 677 |
from __future__ import annotations
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> bool:
return len(set(SCREAMING_SNAKE_CASE ) ) == len(SCREAMING_SNAKE_CASE )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 677 | 1 |
import numpy as np
from transformers import BatchFeature
from transformers.testing_utils import require_tf, require_torch
from .test_feature_extraction_common import FeatureExtractionSavingTestMixin
class lowerCAmelCase_ ( __snake_case ):
# to overwrite at feature extractactor specific tests
... | 677 |
import math
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE = 0 , SCREAMING_SNAKE_CASE = 0 ) -> list:
_lowercase : List[str] = end or len(SCREAMING_SNAKE_CASE )
for i in range(SCREAMING_SNAKE_CASE , SC... | 677 | 1 |
from sklearn.metrics import mean_squared_error
import datasets
UpperCamelCase = "\\n@article{scikit-learn,\n title={Scikit-learn: Machine Learning in {P}ython},\n author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.\n and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofe... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCamelCase = {
"configuration_clip": [
"CLIP_PRETRAINED_CO... | 677 | 1 |
UpperCamelCase = [0, 2, 4, 6, 8]
UpperCamelCase = [1, 3, 5, 7, 9]
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> int:
if remaining_length == 0:
if digits[0] == 0 or di... | 677 |
from collections.abc import Sequence
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE ) -> float:
return sum(c * (x**i) for i, c in enumerate(SCREAMING_SNAKE_CASE ) )
def __magic_name__ ( SCREAMING_SNAKE_CASE , SCREA... | 677 | 1 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> Optional[Any]:
_lowercase : Tuple ... | 677 |
from __future__ import annotations
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase=None ):
_lowercase : int = data
_lowercase : Union[str, Any] = None
def __repr__( self ):
_lowercase ... | 677 | 1 |
import argparse
import logging
import os
import time
import timeit
import datasets
import numpy as np
import pycuda.autoinit # noqa: F401
import pycuda.driver as cuda
import tensorrt as trt
import torch
from absl import logging as absl_logging
from accelerate import Accelerator
from datasets import load_datase... | 677 |
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
UpperCamelCase = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
UpperCamelCase = typing.Union[np.floataa, int, float] # noqa: UP007
def __magic_name__ ( SC... | 677 | 1 |
from json import JSONDecodeError # Workaround for requests.exceptions.JSONDecodeError
import requests
def __magic_name__ ( SCREAMING_SNAKE_CASE = "isbn/0140328726" ) -> dict:
_lowercase : List[str] = olid.strip().strip('/' ) # Remove leadin... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCamelCase = {
"configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}
try:
if not is_torch_available():
raise OptionalDependencyN... | 677 | 1 |
from typing import List, Optional, Union
from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class lowerCAmelCase_ ( ... | 677 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
UpperCamelCase = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}
UpperCamelCase = {
... | 677 | 1 |
from ..utils import DummyObject, requires_backends
class lowerCAmelCase_ ( metaclass=__snake_case ):
_UpperCamelCase : Optional[Any] = ["torch", "torchsde"]
def __init__( self , *_lowerCAmelCase , **_lowerCAmelCase ):
requires_backends(self , ['torch'... | 677 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCamelCase = {
"configuration_blenderbot": [
"BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_... | 677 | 1 |
import argparse
import gc
import json
import os
import shutil
import warnings
import torch
from transformers import LlamaConfig, LlamaForCausalLM, LlamaTokenizer
try:
from transformers import LlamaTokenizerFast
except ImportError as e:
warnings.warn(e)
warnings.warn(
"The conv... | 677 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
HubertConfig,
HubertForCTC,
HubertModel,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaProcessor,
logging,
)
logging.set_verbosity_info()
Uppe... | 677 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
UpperCamelCase = {
"configuration_encodec": [
"ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
"EncodecConfig",
],
"feature_extraction_encodec": ["Encod... | 677 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, r... | 677 | 1 |
import re
def __magic_name__ ( SCREAMING_SNAKE_CASE ) -> str:
if len(re.findall('[ATCG]' , SCREAMING_SNAKE_CASE ) ) != len(SCREAMING_SNAKE_CASE ):
raise ValueError('Invalid Strand' )
return dna.translate(dna.maketrans('AT... | 677 |
import os
import unittest
from huggingface_hub.utils import are_progress_bars_disabled
import transformers.models.bart.tokenization_bart
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, e... | 677 | 1 |
import unittest
import torch
from diffusers import DDIMScheduler, DDPMScheduler, UNetaDModel
from diffusers.training_utils import set_seed
from diffusers.utils.testing_utils import slow
UpperCamelCase = False
class lowerCAmelCase_ ( unittest.TestCase ):
def __a ( self , _lowerCAme... | 677 |
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_tokenization_common import TokenizerTest... | 677 | 1 |
import copy
import os
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Union
if TYPE_CHECKING:
from ...processing_utils import ProcessorMixin
from ...utils import TensorType
from ...configuration_utils import PretrainedConfig
from ...onnx import... | 677 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
UpperCamelCase = {
"configuration_conditional_detr": [
"CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
"ConditionalDetrConfig",
"Condition... | 677 | 1 |
import os
import unittest
from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow
from ...test_tokenization_common import TokenizerTesterMixin
@require_jieba
class lowerCAmelCase_ ( __snake_case ,... | 677 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase_ ( __snake_case ):
_UpperCamelCase : Tuple = "ClapFeatureExtractor"
_UpperCamelCase : Optional[int] = ("RobertaTokenizer", "RobertaTok... | 677 | 1 |
import gc
import unittest
from parameterized import parameterized
from diffusers import FlaxUNetaDConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow
if is_flax_available():
import jax
import jax.numpy as jnp
... | 677 |
from __future__ import annotations
from typing import Any
class lowerCAmelCase_ :
def __init__( self , _lowerCAmelCase ):
_lowercase : Any = num_of_nodes
_lowercase : list[list[int]] = []
_lowercase : ... | 677 | 1 |
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