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 |
|---|---|---|---|---|
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
@dataclass
cla... | 719 |
"""simple docstring"""
import itertools
import random
import unittest
import numpy as np
from transformers import BatchFeature, SpeechTaFeatureExtractor
from transformers.testing_utils import require_torch
from transformers.utils.import_utils import is_torch_available
from ...test_sequ... | 31 | 0 |
from __future__ import annotations
import math
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int , _lowercase : bool , _lowercase : list[int] , _lowercase : float ) ->Optional[int]:
'''simple docstring'''
... | 720 |
"""simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _SCREAMING_SNAKE_CASE ( _lowercase : List[str] ) ->int:
... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : Union[str, Any] , _lowercase : Any ) ->Optional[Any]:
'''simple docstring'''
a : Union[str, Any] = ""
for i in table:
res += inp[i - 1]
return res
def... | 721 |
"""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_... | 31 | 0 |
"""simple docstring"""
from typing import Dict, Iterable, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format, to_pil_image
from ...im... | 700 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 10 , _lowercase : int = 1000 , _lowercase : bool = True ) ->int:
'''simple docstring'''
assert (
isinstance(_lowercase , _lowercase )
and isinst... | 31 | 0 |
"""simple docstring"""
# This code is adapted from OpenAI's release
# https://github.com/openai/human-eval/blob/master/human_eval/execution.py
import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile
def _SCR... | 701 |
"""simple docstring"""
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... | 31 | 0 |
"""simple docstring"""
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixi... | 702 |
"""simple docstring"""
import argparse
import os
from io import BytesIO
from pathlib import Path
import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[Any] ,... | 31 | 0 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import tensorflow as tf
from ...activations_tf import ACTaFN
from ...file_utils import add_code_sample_docstrings, add_start_docstrings, add_start_docstrings_to_model_forward
from ...modeling_tf_outputs import (
TFBaseMod... | 703 |
"""simple docstring"""
# Copyright 2022 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/lic... | 31 | 0 |
"""simple docstring"""
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES, BertTokenizer
from transformers.testing_utils import require... | 704 |
"""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_senten... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->str:
'''simple docstring'''
a : str = 0
# if input_string is "aba" than new_input_string become "a|b|a"
a : List[str] = ""
a : Tuple = ""
#... | 705 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
... | 31 | 0 |
"""simple docstring"""
import json
import os
from ...utils.constants import SAGEMAKER_PARALLEL_EC2_INSTANCES, TORCH_DYNAMO_MODES
from ...utils.dataclasses import ComputeEnvironment, SageMakerDistributedType
from ...utils.imports import is_botoa_available
from .config_args import SageMakerCon... | 706 |
"""simple docstring"""
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datase... | 31 | 0 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
a : Tuple = '''<<<<<<< This should probably be modified because it mentions: '''
a : List[Any] ... | 707 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from d... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : str = 100_0000 ) ->Optional[int]:
'''simple docstring'''
a : Optional[int] = limit + 1
a : Dict = [0] * limit
for first_term in range(1 , _lowercase ):
f... | 708 |
"""simple docstring"""
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __UpperCamelCase ( unittest.TestCase ):
def __a ( self ) -> Optional[Any]:
a : Optional[int] = [
... | 31 | 0 |
"""simple docstring"""
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import SegformerImageProcessor, SwinConfig, UperNetConfig, UperNetForSemanticSegmentation
def _SCREAMING_SNAKE_CA... | 709 |
"""simple docstring"""
import flax.linen as nn
import jax
import jax.numpy as jnp
class __UpperCamelCase ( nn.Module ):
lowerCamelCase : int
lowerCamelCase : jnp.dtype =jnp.floataa
def __a ( self ) -> ... | 31 | 0 |
"""simple docstring"""
import unittest
import numpy as np
from datasets import load_dataset
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 ImageProcess... | 710 |
"""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/lic... | 31 | 0 |
"""simple docstring"""
a : Optional[Any] = [
'''VerificationMode''',
'''Version''',
'''disable_progress_bar''',
'''enable_progress_bar''',
'''is_progress_bar_enabled''',
'''experimental''',
]
from .info_utils import VerificationMode
from .logging import... | 711 |
"""simple docstring"""
a : str = 8.314_4598
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if temperature < 0:
raise Exception("Temperature cannot be less than 0 ... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 1000 ) ->int:
'''simple docstring'''
a : Union[str, Any] = 2**power
a : Any = str(__snake_case )
a : Tuple = list(__snake_case )
a : st... | 712 |
"""simple docstring"""
import time
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device
from ..test_modeling_common import ids_tensor
if is_torch_available():
import torch
from transformers.generation imp... | 31 | 0 |
"""simple docstring"""
import torch
from diffusers import EulerDiscreteScheduler
from diffusers.utils import torch_device
from .test_schedulers import SchedulerCommonTest
class __UpperCamelCase ( __lowercase ):
lowerCamelCase : List[str] =(EulerDiscrete... | 713 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 200 ) ->int:
'''simple docstring'''
a : Dict = [1, 2, 5, 10, 20, 50, 100, 200]
a : Optional[Any] = [0] * (pence + 1)
a : List[Any] = 1 # base case: ... | 31 | 0 |
"""simple docstring"""
# Usage:
# ./gen-card-facebook-wmt19.py
import os
from pathlib import Path
def _SCREAMING_SNAKE_CASE ( _lowercase : List[Any] , _lowercase : Optional[Any] , _lowercase : Any ) ->int:
'''simple docstring'''
... | 714 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __UpperCamelCase ( metaclass=a__ ):
lowerCamelCase : Optional[Any] =["""transformers""", """torch""", """note_seq"""]
def __init__( self , *lowerCAme... | 31 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
a : Dict = {
'''configuration_bigbird_pegasus''': [
'''BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''BigBirdP... | 715 |
"""simple docstring"""
import qiskit
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->qiskit.result.counts.Counts:
'''simple docstring'''
a : Union[str, Any] = qiskit.Aer.get_backend("aer_simulator" ... | 31 | 0 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcessor
... | 716 |
"""simple docstring"""
from random import randint
from tempfile import TemporaryFile
import numpy as np
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] , _lowercase : Optional[Any] , _lowercase : Union[str, Any] ) ->Dict:
'''... | 31 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
a : Union[str, Any] = {
'''configuration_convbert''': ['''CON... | 717 |
"""simple docstring"""
import baseaa
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
return baseaa.aaaencode(string.encode("utf-8" ) )
def _SCREAMING_SNAKE_CASE ( _lowercase : ... | 31 | 0 |
"""simple docstring"""
from copy import deepcopy
import torch
import torch.nn.functional as F
from torch.optim import AdamW
from torch.optim.lr_scheduler import LambdaLR
from torch.utils.data import DataLoader
from accelerate.accelerator import Accelerator
from accelerate.state import GradientSt... | 718 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_... | 31 | 0 |
import math
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__=0 ) -> Tuple: # a graph with Node 0,1,...,N-1
a : int = n
a : Union[str, Any] = [
[math.inf for j in range(0 , A__ )] for ... | 719 |
"""simple docstring"""
import itertools
import random
import unittest
import numpy as np
from transformers import BatchFeature, SpeechTaFeatureExtractor
from transformers.testing_utils import require_torch
from transformers.utils.import_utils import is_torch_available
from ...test_sequ... | 31 | 0 |
import unittest
import numpy as np
from transformers import RobertaConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available():
fro... | 720 |
"""simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _SCREAMING_SNAKE_CASE ( _lowercase : List[str] ) ->int:
... | 31 | 0 |
"""simple docstring"""
import unittest
import numpy as np
from transformers import AlbertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask
if is_flax_ava... | 721 |
"""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_... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : List[str] , _lowercase : Tuple ) ->Optional[int]:
'''simple docstring'''
return number | (1 << position)
def _SCREAMING_SNAKE_CASE ( _lowercase : str , _... | 700 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 10 , _lowercase : int = 1000 , _lowercase : bool = True ) ->int:
'''simple docstring'''
assert (
isinstance(_lowercase , _lowercase )
and isinst... | 31 | 0 |
"""simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig
a : Union[str, Any] = logging.get_logger(__name__)
a : Dict = {
'''Intel/dpt-large''': '''https://huggingface.co/Intel/dp... | 701 |
"""simple docstring"""
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... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[Any] = 50 ) ->int:
'''simple docstring'''
a : str = [1] * (length + 1)
for row_length in range(3 , length + 1 ):
for block_length in range(3 , row_len... | 702 |
"""simple docstring"""
import argparse
import os
from io import BytesIO
from pathlib import Path
import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[Any] ,... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->Optional[int]:
'''simple docstring'''
while second != 0:
a : List[str] = first & second
first ^= second
a : str = c << 1
r... | 703 |
"""simple docstring"""
# Copyright 2022 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/lic... | 31 | 0 |
"""simple docstring"""
# 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: F40... | 704 |
"""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_senten... | 31 | 0 |
"""simple docstring"""
from typing import Dict, List, Optional
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
a : str = logging.get_logger(__name__)
a : Dict = {
'''nielsr/canine-s''': 2048,
}
# Unicode def... | 705 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
a : Any = 10
def _SCREAMING_SNAKE_CASE ( _lowercase : A... | 706 |
"""simple docstring"""
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datase... | 31 | 0 |
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[Any] = 100_0000 ) ->Any:
'''simple docstring'''
a : List[Any] = limit + 1
a : Dict = [0] * limit
for first_term in range(1 , _snake_case ):
for n in range(_snake_case , _sn... | 707 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from d... | 31 | 0 |
"""simple docstring"""
# 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: F40... | 708 |
"""simple docstring"""
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __UpperCamelCase ( unittest.TestCase ):
def __a ( self ) -> Optional[Any]:
a : Optional[int] = [
... | 31 | 0 |
"""simple docstring"""
from collections import deque
def _SCREAMING_SNAKE_CASE ( _lowercase : Union[str, Any] ) ->Optional[int]:
'''simple docstring'''
a : Any = len(A_ )
a : str = deque()
a : List[str] = ... | 709 |
"""simple docstring"""
import flax.linen as nn
import jax
import jax.numpy as jnp
class __UpperCamelCase ( nn.Module ):
lowerCamelCase : int
lowerCamelCase : jnp.dtype =jnp.floataa
def __a ( self ) -> ... | 31 | 0 |
"""simple docstring"""
import random
import torch
from huggingface_hub import HfApi
from diffusers import UNetaDModel
a : str = HfApi()
a : List[str] = {}
# fmt: off
a : Optional[Any] = torch.tensor([
-0.7515, -1.6883, 0.2420, 0.0300, 0.6347, 1... | 710 |
"""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/lic... | 31 | 0 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import DeiTImageProcessor, ViTConfig, ViTForImageClassification, ViTImageProcessor, Vi... | 711 |
"""simple docstring"""
a : str = 8.314_4598
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if temperature < 0:
raise Exception("Temperature cannot be less than 0 ... | 31 | 0 |
"""simple docstring"""
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__ ) -> Optional[Any]:
a : Optional[int] = arr.split("," )
def __a ( self ) -> Tuple:
a : Union[str... | 712 |
"""simple docstring"""
import time
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device
from ..test_modeling_common import ids_tensor
if is_torch_available():
import torch
from transformers.generation imp... | 31 | 0 |
"""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_ava... | 713 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 200 ) ->int:
'''simple docstring'''
a : Dict = [1, 2, 5, 10, 20, 50, 100, 200]
a : Optional[Any] = [0] * (pence + 1)
a : List[Any] = 1 # base case: ... | 31 | 0 |
"""simple docstring"""
import argparse
from torch import nn
# transformers_old should correspond to branch `save_old_prophetnet_model_structure` here
# original prophetnet_checkpoints are saved under `patrickvonplaten/..._old` respectively
from transformers_old.modeling_prophetnet import (
... | 714 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __UpperCamelCase ( metaclass=a__ ):
lowerCamelCase : Optional[Any] =["""transformers""", """torch""", """note_seq"""]
def __init__( self , *lowerCAme... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : Any ) ->str:
'''simple docstring'''
if isinstance(a__ , a__ ):
raise TypeError("'float' object cannot be interpreted as an integer" )
if isinstance(a__ , a__ ):
... | 715 |
"""simple docstring"""
import qiskit
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->qiskit.result.counts.Counts:
'''simple docstring'''
a : Union[str, Any] = qiskit.Aer.get_backend("aer_simulator" ... | 31 | 0 |
"""simple docstring"""
import unittest
from transformers import is_vision_available
from transformers.pipelines import pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
require_tf,
require_torch,
require_vision,
slow,
)
from ... | 716 |
"""simple docstring"""
from random import randint
from tempfile import TemporaryFile
import numpy as np
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] , _lowercase : Optional[Any] , _lowercase : Union[str, Any] ) ->Dict:
'''... | 31 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
a : int = logging.get_logger(__name__)
a : int = {
'facebook... | 717 |
"""simple docstring"""
import baseaa
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
return baseaa.aaaencode(string.encode("utf-8" ) )
def _SCREAMING_SNAKE_CASE ( _lowercase : ... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : Union[str, Any] ) ->list:
'''simple docstring'''
if n_term == "":
return []
a : list = []
for temp in range(int(_lowercase ) ):
series.append(F"""1/{temp + 1}""" if se... | 718 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_... | 31 | 0 |
from copy import deepcopy
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__ = None , lowerCAmelCase__ = None ) -> int:
if arr is None and size is not None:
a : Dict = size
a : Any = [0] *... | 719 |
"""simple docstring"""
import itertools
import random
import unittest
import numpy as np
from transformers import BatchFeature, SpeechTaFeatureExtractor
from transformers.testing_utils import require_torch
from transformers.utils.import_utils import is_torch_available
from ...test_sequ... | 31 | 0 |
import colorsys
from PIL import Image # type: ignore
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float , _lowercase : int ) ->Dict:
'''simple docstring'''
a : Any = x
a : int = y
for st... | 720 |
"""simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _SCREAMING_SNAKE_CASE ( _lowercase : List[str] ) ->int:
... | 31 | 0 |
"""simple docstring"""
import argparse
import shlex
import runhouse as rh
if __name__ == "__main__":
# Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
# setup instructions, if using on-demand hardware
# If u... | 721 |
"""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_... | 31 | 0 |
"""simple docstring"""
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 i... | 700 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 10 , _lowercase : int = 1000 , _lowercase : bool = True ) ->int:
'''simple docstring'''
assert (
isinstance(_lowercase , _lowercase )
and isinst... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
import math
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : int ) ->Dict:
'''simple docstring'''
a : Optional[int] = u
for i in range(1 , lowerCam... | 701 |
"""simple docstring"""
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... | 31 | 0 |
"""simple docstring"""
import copy
import os
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Dict, Mapping, Optional, Union
if TYPE_CHECKING:
from ...processing_utils import ProcessorMixin
from ...utils import TensorType
from ...configuration_utils import... | 702 |
"""simple docstring"""
import argparse
import os
from io import BytesIO
from pathlib import Path
import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[Any] ,... | 31 | 0 |
"""simple docstring"""
import numpy as np
import torch
from torch.utils.data import DataLoader
from accelerate.utils.dataclasses import DistributedType
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__=2 , lowerCAmelCase__=3 , ... | 703 |
"""simple docstring"""
# Copyright 2022 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/lic... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : str , _lowercase : List[Any] ) ->Optional[Any]:
'''simple docstring'''
a : Dict = word.split()
def justify(_lowercase : Optional[Any] , _lowercase : in... | 704 |
"""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_senten... | 31 | 0 |
"""simple docstring"""
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class __UpperCamelCase ( __lowercase ):
lowerCamelCase : Optional[Any] =(DDPMScheduler,)
def __a ( s... | 705 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
... | 31 | 0 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_f... | 706 |
"""simple docstring"""
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datase... | 31 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : int = logging.get_logger(__name__)
a : str = {
'''google/vivit-b-16x2-kinetics400''': (
'''https://huggingface.co/google/vivit-b-16x2-kinetics400/resolve/main/config.json'''
... | 707 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from d... | 31 | 0 |
"""simple docstring"""
import importlib
import os
import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry
from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_files... | 708 |
"""simple docstring"""
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __UpperCamelCase ( unittest.TestCase ):
def __a ( self ) -> Optional[Any]:
a : Optional[int] = [
... | 31 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
a : Tuple = {
'''configuration_nezha''': ['''NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NezhaConfig'''],
}
tr... | 709 |
"""simple docstring"""
import flax.linen as nn
import jax
import jax.numpy as jnp
class __UpperCamelCase ( nn.Module ):
lowerCamelCase : int
lowerCamelCase : jnp.dtype =jnp.floataa
def __a ( self ) -> ... | 31 | 0 |
"""simple docstring"""
# This model implementation is heavily inspired by https://github.com/haofanwang/ControlNet-for-Diffusers/
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTe... | 710 |
"""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/lic... | 31 | 0 |
"""simple docstring"""
import qiskit
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] = 2 ) ->qiskit.result.counts.Counts:
'''simple docstring'''
a : Optional[int] = qubits
# Using Aer's simulator
a : Dict = ... | 711 |
"""simple docstring"""
a : str = 8.314_4598
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if temperature < 0:
raise Exception("Temperature cannot be less than 0 ... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
if is_tf_available():
import numpy as np
import tensorflow as tf
... | 712 |
"""simple docstring"""
import time
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device
from ..test_modeling_common import ids_tensor
if is_torch_available():
import torch
from transformers.generation imp... | 31 | 0 |
"""simple docstring"""
from math import sqrt
def _SCREAMING_SNAKE_CASE ( _lowercase : Union[str, Any] ):
'''simple docstring'''
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
... | 713 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 200 ) ->int:
'''simple docstring'''
a : Dict = [1, 2, 5, 10, 20, 50, 100, 200]
a : Optional[Any] = [0] * (pence + 1)
a : List[Any] = 1 # base case: ... | 31 | 0 |
"""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_sentencepie... | 714 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __UpperCamelCase ( metaclass=a__ ):
lowerCamelCase : Optional[Any] =["""transformers""", """torch""", """note_seq"""]
def __init__( self , *lowerCAme... | 31 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : Optional[int] = logging.get_logger(__name__)
a : Tuple = {
'''google/realm-cc-news-pretrained-embedder''': (
'''https://huggingface.co/google/real... | 715 |
"""simple docstring"""
import qiskit
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->qiskit.result.counts.Counts:
'''simple docstring'''
a : Union[str, Any] = qiskit.Aer.get_backend("aer_simulator" ... | 31 | 0 |
"""simple docstring"""
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer
a : List[str] = ... | 716 |
"""simple docstring"""
from random import randint
from tempfile import TemporaryFile
import numpy as np
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] , _lowercase : Optional[Any] , _lowercase : Union[str, Any] ) ->Dict:
'''... | 31 | 0 |
"""simple docstring"""
import flax.linen as nn
import jax
import jax.numpy as jnp
class __UpperCamelCase ( nn.Module ):
lowerCamelCase : int
lowerCamelCase : jnp.dtype =jnp.floataa
def __a ( self ) -> ... | 717 |
"""simple docstring"""
import baseaa
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
return baseaa.aaaencode(string.encode("utf-8" ) )
def _SCREAMING_SNAKE_CASE ( _lowercase : ... | 31 | 0 |
"""simple docstring"""
import json
import os
from collections import Counter
import torch
import torchvision
import torchvision.transforms as transforms
from PIL import Image
from torch import nn
from torch.utils.data import Dataset
a : List[str] = {1: (1, 1), 2: (2, 1), 3: (3, 1)... | 718 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_... | 31 | 0 |
import os
try:
from .build_directory_md import good_file_paths
except ImportError:
from build_directory_md import good_file_paths # type: ignore
a : Optional[int] = list(good_file_paths())
assert filepaths, "good_file_paths() failed!"
a : Dict = [file for file in file... | 719 |
"""simple docstring"""
import itertools
import random
import unittest
import numpy as np
from transformers import BatchFeature, SpeechTaFeatureExtractor
from transformers.testing_utils import require_torch
from transformers.utils.import_utils import is_torch_available
from ...test_sequ... | 31 | 0 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import (
BaseOutput,
OptionalDependencyNotAvailable,
is_flax_available,
is_k_diffusion_available,
is_k_diffusion_version,
is_onn... | 720 |
"""simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _SCREAMING_SNAKE_CASE ( _lowercase : List[str] ) ->int:
... | 31 | 0 |
"""simple docstring"""
from statistics import mean, stdev
def _SCREAMING_SNAKE_CASE ( _lowercase : list , _lowercase : int = 3 ) ->Any:
'''simple docstring'''
a : Dict = min(_lowercase )
a : Any = max(_lo... | 721 |
"""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_... | 31 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
a : Optional[Any] = {
'''configuration_layoutlmv2''': ['... | 700 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 10 , _lowercase : int = 1000 , _lowercase : bool = True ) ->int:
'''simple docstring'''
assert (
isinstance(_lowercase , _lowercase )
and isinst... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 400_0000 ) ->int:
'''simple docstring'''
a : Optional[Any] = []
a : int = 0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(_lowercase )
a : Any ... | 701 |
"""simple docstring"""
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... | 31 | 0 |
"""simple docstring"""
a : Optional[Any] = [
'''Audio''',
'''Array2D''',
'''Array3D''',
'''Array4D''',
'''Array5D''',
'''ClassLabel''',
'''Features''',
'''Sequence''',
'''Value''',
'''Image''',
'''Translation''',
'''TranslationV... | 702 |
"""simple docstring"""
import argparse
import os
from io import BytesIO
from pathlib import Path
import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[Any] ,... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : str , _lowercase : int ) ->str:
'''simple docstring'''
a : list[list[str]] = [[] for _ in range(_lowercase )]
a : Dict = key - 1
if key <= 0:
rais... | 703 |
"""simple docstring"""
# Copyright 2022 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/lic... | 31 | 0 |
"""simple docstring"""
import argparse
import torch
from transformers import GPTaLMHeadModel, RobertaForMaskedLM
if __name__ == "__main__":
a : Optional[Any] = argparse.ArgumentParser(
description=(
'''Extraction some layers of the full RobertaForMaskedLM ... | 704 |
"""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_senten... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : str = "The quick brown fox jumps over the lazy dog" , ) ->bool:
'''simple docstring'''
a : str = set()
# Replace all the whitespace in our sentence
a : str = input_... | 705 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
return round(float(moles / volume ) * nfactor )
def _SCRE... | 706 |
"""simple docstring"""
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datase... | 31 | 0 |
import argparse
import shlex
import runhouse as rh
if __name__ == "__main__":
# Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
# setup instructions, if using on-demand hardware
# If user passes --user <user> --host ... | 707 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from d... | 31 | 0 |
"""simple docstring"""
import argparse
import json
import os
from tensorflow.core.protobuf.saved_model_pba import SavedModel
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
a : Optional[int] ... | 708 |
"""simple docstring"""
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __UpperCamelCase ( unittest.TestCase ):
def __a ( self ) -> Optional[Any]:
a : Optional[int] = [
... | 31 | 0 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
@... | 709 |
"""simple docstring"""
import flax.linen as nn
import jax
import jax.numpy as jnp
class __UpperCamelCase ( nn.Module ):
lowerCamelCase : int
lowerCamelCase : jnp.dtype =jnp.floataa
def __a ( self ) -> ... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
import requests
a : str = set(
'''approved_at_utc approved_by author_flair_background_color
author_flair_css_class author_flair_richtext author_flair_template_id author_fullname
author_premium can_mod_post category clic... | 710 |
"""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/lic... | 31 | 0 |
"""simple docstring"""
import os
import time
import numpy as np
import onnxruntime as ort
a : str = '''1'''
a : List[str] = '''0'''
a : str = '''1'''
a : List[Any] = ort.SessionOptions()
a : List[Any] = ort.GraphOptimizationLeve... | 711 |
"""simple docstring"""
a : str = 8.314_4598
def _SCREAMING_SNAKE_CASE ( _lowercase : float , _lowercase : float ) ->float:
'''simple docstring'''
if temperature < 0:
raise Exception("Temperature cannot be less than 0 ... | 31 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
a : List[Any] = logging.get_logger(__name__)
a : Dict = {
'''funnel-transformer/small''': '''https://huggingface.co/funnel-transformer/small/resolve/main/confi... | 712 |
"""simple docstring"""
import time
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device
from ..test_modeling_common import ids_tensor
if is_torch_available():
import torch
from transformers.generation imp... | 31 | 0 |
"""simple docstring"""
import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union
import sentencepiece
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
a : Tuple = ... | 713 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 200 ) ->int:
'''simple docstring'''
a : Dict = [1, 2, 5, 10, 20, 50, 100, 200]
a : Optional[Any] = [0] * (pence + 1)
a : List[Any] = 1 # base case: ... | 31 | 0 |
"""simple docstring"""
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 __UpperCamelCase :
... | 714 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __UpperCamelCase ( metaclass=a__ ):
lowerCamelCase : Optional[Any] =["""transformers""", """torch""", """note_seq"""]
def __init__( self , *lowerCAme... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
from functools import lru_cache
from math import ceil
a : int = 100
a : str = set(range(3, NUM_PRIMES, 2))
primes.add(2)
a : int
for prime in range(3, ceil(NUM_PRIMES**0.5), 2):
if prime not in pri... | 715 |
"""simple docstring"""
import qiskit
def _SCREAMING_SNAKE_CASE ( _lowercase : int , _lowercase : int ) ->qiskit.result.counts.Counts:
'''simple docstring'''
a : Union[str, Any] = qiskit.Aer.get_backend("aer_simulator" ... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
import time
a : Optional[Any] = list[tuple[int, int]]
a : str = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstacles
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, ... | 716 |
"""simple docstring"""
from random import randint
from tempfile import TemporaryFile
import numpy as np
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[int] , _lowercase : Optional[Any] , _lowercase : Union[str, Any] ) ->Dict:
'''... | 31 | 0 |
"""simple docstring"""
import unittest
import torch
from diffusers import VQModel
from diffusers.utils import floats_tensor, torch_device
from diffusers.utils.testing_utils import enable_full_determinism
from .test_modeling_common import ModelTesterMixin, UNetTesterMixin
enable_full... | 717 |
"""simple docstring"""
import baseaa
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->bytes:
'''simple docstring'''
return baseaa.aaaencode(string.encode("utf-8" ) )
def _SCREAMING_SNAKE_CASE ( _lowercase : ... | 31 | 0 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional
import numpy as np
import torch
import torch.nn as nn
from ..utils import BaseOutput, is_torch_version, randn_tensor
from .attention_processor import SpatialNorm
from .unet_ad_blocks import UNetMidBlockaD, get_d... | 718 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_... | 31 | 0 |
from __future__ import annotations
from collections.abc import Generator
def _SCREAMING_SNAKE_CASE ( ) ->Generator[int, None, None]:
'''simple docstring'''
a : dict[int, int] = {}
a : Dict = 2
while True:
a : Optional[Any] = ... | 719 |
"""simple docstring"""
import itertools
import random
import unittest
import numpy as np
from transformers import BatchFeature, SpeechTaFeatureExtractor
from transformers.testing_utils import require_torch
from transformers.utils.import_utils import is_torch_available
from ...test_sequ... | 31 | 0 |
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 200 ) ->int:
'''simple docstring'''
a : Dict = [1, 2, 5, 10, 20, 50, 100, 200]
a : Optional[Any] = [0] * (pence + 1)
a : List[Any] = 1 # base case: 1 way to make 0 pence
for co... | 720 |
"""simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _SCREAMING_SNAKE_CASE ( _lowercase : List[str] ) ->int:
... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
from typing import TypedDict
class __UpperCamelCase ( a__ ):
lowerCamelCase : str
lowerCamelCase : int
def _SCREAMING_SNAKE_CASE ( _lowercase : str ) ->list[st... | 721 |
"""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_... | 31 | 0 |
"""simple docstring"""
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __UpperCamelCase ( unittest.TestCase ):
def __a ( self ) -> Optional[Any]:
a : Optional[int] = [
... | 700 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int = 10 , _lowercase : int = 1000 , _lowercase : bool = True ) ->int:
'''simple docstring'''
assert (
isinstance(_lowercase , _lowercase )
and isinst... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : int ) ->int:
'''simple docstring'''
if not isinstance(_lowercase , _lowercase ):
raise TypeError("Input value must be an 'int' type" )
a : List[Any] = 0
while num... | 701 |
"""simple docstring"""
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... | 31 | 0 |
"""simple docstring"""
import warnings
from diffusers import StableDiffusionImgaImgPipeline # noqa F401
warnings.warn(
'The `image_to_image.py` script is outdated. Please use directly `from diffusers import'
' StableDiffusionImg2ImgPipeline` instead.'
)
| 702 |
"""simple docstring"""
import argparse
import os
from io import BytesIO
from pathlib import Path
import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm
def _SCREAMING_SNAKE_CASE ( _lowercase : Optional[Any] ,... | 31 | 0 |
"""simple docstring"""
import argparse
import glob
import logging
import os
import sys
import time
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Tuple
import numpy as np
import pytorch_lightning as pl
import torch
from callbacks import Seq... | 703 |
"""simple docstring"""
# Copyright 2022 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/lic... | 31 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
class __UpperCamelCase :
def __init__( self , lowerCAmelCase__ ) -> None:
a : Dict = value
a : Node | None = None... | 704 |
"""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_senten... | 31 | 0 |
"""simple docstring"""
import math
import flax.linen as nn
import jax.numpy as jnp
def _SCREAMING_SNAKE_CASE ( _lowercase : jnp.ndarray , _lowercase : int , _lowercase : float = 1 , _lowercase : float = 1 , _lowercase : float = 1.0E4 ... | 705 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput, randn_tensor
from .scheduling_utils import SchedulerMixin
... | 31 | 0 |
"""simple docstring"""
import argparse
import json
import os
import torch
from transformers.file_utils import has_file
from diffusers import UNetaDConditionModel, UNetaDModel
a : Optional[Any] = False
a : List[Any] = True
a : List[Any] = False
i... | 706 |
"""simple docstring"""
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datase... | 31 | 0 |
import argparse
import os
import subprocess
from packaging.version import Version, parse
from accelerate.commands.config.config_args import default_config_file, load_config_from_file
a : Optional[int] = '''Run commands across TPU VMs for initial setup before running `accelerate launc... | 707 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from d... | 31 | 0 |
"""simple docstring"""
def _SCREAMING_SNAKE_CASE ( _lowercase : list[list] ) ->list[list]:
'''simple docstring'''
a : Union[str, Any] = current_set.copy()
for row_index, row in enumerate(_lowercase ):
a : Optional[int] = ro... | 708 |
"""simple docstring"""
import unittest
from diffusers.pipelines.pipeline_utils import is_safetensors_compatible
class __UpperCamelCase ( unittest.TestCase ):
def __a ( self ) -> Optional[Any]:
a : Optional[int] = [
... | 31 | 0 |
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