code stringlengths 86 54.5k | code_codestyle int64 0 371 | style_context stringlengths 87 49.2k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
__lowerCAmelCase : Union[str, Any] =logging.get_logger(__name__)
__lowerCAmelCase : ... | 351 | """simple docstring"""
import json
import os
import unittest
from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
VOCAB_FILES_NAMES,
GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_common impo... | 32 | 0 |
"""simple docstring"""
import json
import os
import unittest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTesterMix... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
is_vision_available,
)
__lowerCAmelCase : List[str] ={"""configuration_vit""": ["... | 32 | 0 |
"""simple docstring"""
import os
import unittest
from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers
from ...test_tokenization_common import TokenizerTes... | 353 | """simple docstring"""
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class _A ( lowerCAmelCase ):
def __init_... | 32 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
__lowerCAmelCase : Tuple =logging.get_logger(__name__)
__lowerCAmelCase : Union[str,... | 354 | """simple docstring"""
from unittest.mock import Mock, patch
from file_transfer.send_file import send_file
@patch("""socket.socket""" )
@patch("""builtins.open""" )
def UpperCAmelCase__ ( lowerCAmelCase__ :Tuple , lowerCAmelCase__ :List[str] ) -> Union[str, Any]:
'... | 32 | 0 |
"""simple docstring"""
import logging
from transformers import PretrainedConfig
__lowerCAmelCase : Union[str, Any] =logging.getLogger(__name__)
__lowerCAmelCase : Dict ={
"""bertabs-finetuned-cnndm""": """https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstrac... | 355 | """simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,... | 32 | 0 |
"""simple docstring"""
import argparse
from pathlib import Path
import fairseq
import torch
from fairseq.models.xmod import XMODModel as FairseqXmodModel
from packaging import version
from transformers import XmodConfig, XmodForMaskedLM, XmodForSequenceClassification
from transformers.utils impo... | 356 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> bool:
'''simple docstring'''
lowercase = n ** (1 / 3)
return (val * val * val) == n
if __name__ == "__main__":
print(perfect_cube(2_7))
print(perfect_cub... | 32 | 0 |
from manim import *
class _A ( lowerCAmelCase ):
def A__ ( self ):
"""simple docstring"""
lowercase = Rectangle(height=0.5 , width=0.5 )
lowercase = Rectangle(height=0.4_6 , ... | 357 | """simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyInpaintPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffuse... | 32 | 0 |
"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple
from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available
from ...test_token... | 358 | """simple docstring"""
import logging
from dataclasses import dataclass, field
from typing import Optional
from seqaseq_trainer import arg_to_scheduler
from transformers import TrainingArguments
__lowerCAmelCase : Optional[Any] =logging.getLogger(__name__)
@dataclass
class ... | 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :Union[str, Any] = 6_0_0_8_5_1_4_7_5_1_4_3 ) -> int:
'''simple docstring'''
try:
lowercase = int(lowerCAmelCase__ )
except (TypeError, ValueError):
raise TypeError("""Para... | 359 | """simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
def UpperCAmelCase__ ( lowerCAmelCase__ :Union[str, Any] ) -> Dict:
'''simple docstring'''
if "img... | 32 | 0 |
"""simple docstring"""
import argparse
import copy
def UpperCAmelCase__ ( lowerCAmelCase__ :List[Any] ) -> Optional[Any]:
lowercase = {}
with open(__lowerCamelCase ) as f:
for line in f:
if line.split()[0] not in dict... | 360 | """simple docstring"""
class _A :
def __init__( self , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
"""simple docstring"""
lowercase = None
lowercase = None
l... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
import os
from collections.abc import Mapping
__lowerCAmelCase : Union[str, Any] =tuple[int, int]
class _A :
def __init__( self , __lowerCAmelCase , __lowerCAmelCase ):
... | 361 | """simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
__lowerCAmelCa... | 32 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
if TYPE_CHECKING:
from ... import FeatureExtractionMixin, P... | 362 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__lowerCAmelCase : List[Any] ={
"""configuration_swiftformer""": [
"""SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
... | 32 | 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."""
)
| 363 | """simple docstring"""
import copy
from typing import Dict, List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
__lowerCAmelCase : Tuple ={
"""facebook/mask2former-swin-small-coco-instance""": (
""... | 32 | 0 |
def UpperCAmelCase__ ( lowerCAmelCase__ :List[str] ) -> Optional[int]:
'''simple docstring'''
lowercase = [0] * len(a_ )
lowercase = []
lowercase = [1] * len(a_ )
for values in graph.values():
fo... | 364 | """simple docstring"""
import argparse
import os
import torch
from transformers import FlavaImageCodebook, FlavaImageCodebookConfig
def UpperCAmelCase__ ( lowerCAmelCase__ :Any , lowerCAmelCase__ :Optional[Any] , lowerCAmelCase__ :Dict , lowerCAmelCase__ :Any ) ->... | 32 | 0 |
"""simple docstring"""
import argparse
import os
import torch
from transformers.utils import WEIGHTS_NAME
__lowerCAmelCase : int =["""small""", """medium""", """large"""]
__lowerCAmelCase : List[str] ="""lm_head.decoder.weight"""
__lowerCAmelCase : int ="""lm_head.weigh... | 365 | """simple docstring"""
import enum
import shutil
import sys
__lowerCAmelCase , __lowerCAmelCase : List[str] =shutil.get_terminal_size()
__lowerCAmelCase : Union[str, Any] ={"""UP""": """A""", """DOWN""": """B""", """RIGHT""": """C""", """LEFT""": """D"""}
class ... | 32 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Any =logging.get_logger(__name__)
__lowerCAmelCase : str ={
"""unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve... | 366 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise TypeError("""only integers accepted as input""" )
else:
lowercase ... | 32 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Tuple ={"""configuration_fnet""": ["""FNET_PRETR... | 367 | """simple docstring"""
from __future__ import annotations
import matplotlib.pyplot as plt # type: ignore
import numpy
# initial triangle of Koch snowflake
__lowerCAmelCase : List[Any] =numpy.array([0, 0])
__lowerCAmelCase : List[str] =numpy.array([0.5, 0.866_0254])
__lowerCAmelCase... | 32 | 0 |
"""simple docstring"""
import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoConfig, BertConf... | 368 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("""34""", """35""", """37""", """4""", """5""", """6""") )
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> ... | 32 | 0 |
"""simple docstring"""
import io
import itertools
import json
from dataclasses import dataclass
from typing import Optional
import pyarrow as pa
import pyarrow.json as paj
import datasets
from datasets.table import table_cast
from datasets.utils.file_utils import readline
__lowerCAmelCase... | 369 | """simple docstring"""
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from... | 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :list[list] ) -> Union[str, Any]:
'''simple docstring'''
lowercase = current_set.copy()
for row_index, row in enumerate(__SCREAMING_SNAKE_CASE ):
lowercase = row[0]
... | 370 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :list[list] ) -> list[list]:
'''simple docstring'''
lowercase = current_set.copy()
for row_index, row in enumerate(lowerCAmelCase__ ):
lowercase = row[0]... | 32 | 0 |
from __future__ import annotations
from fractions import Fraction
from math import gcd, sqrt
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> bool:
'''simple docstring'''
lowercase = int(number**0.5 )
return number == sq * sq
def UpperCAm... | 371 | """simple docstring"""
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
fr... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
def UpperCAmelCase__ ( lowerCAmelCase__ :list[int] ) -> int:
'''simple docstring'''
return len(set(__a ) ) == len(__a )
if __name__ == "__main__":
import doctest
doctest.test... | 350 | """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."""
)
| 32 | 0 |
"""simple docstring"""
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def UpperCAmelCase__ ( lowerCAmelCase__ :Optional[int] ) -> Dict:
'''simple docstring'''
lowercase = FileLock(str(tmpdir / """foo... | 351 | """simple docstring"""
import json
import os
import unittest
from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
VOCAB_FILES_NAMES,
GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_common impo... | 32 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : List[str] =logging.get_logger(__name__)
__lowerCAmelCase : Optional[int] ={
"""google/pegasus-large""": """https://huggingface.co/google/pegasus-large/resol... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
is_vision_available,
)
__lowerCAmelCase : List[str] ={"""configuration_vit""": ["... | 32 | 0 |
"""simple docstring"""
import logging
import os
from typing import Dict, List, Optional, Union
import torch
import torch.nn as nn
from accelerate.utils.imports import (
is_abit_bnb_available,
is_abit_bnb_available,
is_bnb_available,
)
from ..big_modeling import dispatch_model, i... | 353 | """simple docstring"""
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class _A ( lowerCAmelCase ):
def __init_... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
from scipy.special import comb # type: ignore
class _A :
def __init__( self , __lowerCAmelCase ):
"""simple docstring"""
lowercase = list_of_po... | 354 | """simple docstring"""
from unittest.mock import Mock, patch
from file_transfer.send_file import send_file
@patch("""socket.socket""" )
@patch("""builtins.open""" )
def UpperCAmelCase__ ( lowerCAmelCase__ :Tuple , lowerCAmelCase__ :List[str] ) -> Union[str, Any]:
'... | 32 | 0 |
"""simple docstring"""
import argparse
import torch
from ...utils import logging
from . import AlbertConfig, AlbertForPreTraining, load_tf_weights_in_albert
logging.set_verbosity_info()
def UpperCAmelCase__ ( lowerCAmelCase__ :Tuple , lowerCAmelCase__ :Union[str, Any] , ... | 355 | """simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,... | 32 | 0 |
"""simple docstring"""
import math
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from .scheduling_utils import SchedulerMixin, SchedulerOutput
class _A ( __UpperCamelCase , __U... | 356 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> bool:
'''simple docstring'''
lowercase = n ** (1 / 3)
return (val * val * val) == n
if __name__ == "__main__":
print(perfect_cube(2_7))
print(perfect_cub... | 32 | 0 |
import glob
import os
import random
from string import ascii_lowercase, digits
import cva
import numpy as np
# Parrameters
__lowerCAmelCase : Optional[int] =(7_2_0, 1_2_8_0) # Height, Width
__lowerCAmelCase : Any =(0.4, 0.6) # if height or width lower than this scale, drop it.
__lowerCAmelC... | 357 | """simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyInpaintPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffuse... | 32 | 0 |
"""simple docstring"""
import string
import numpy
def UpperCAmelCase__ ( lowerCAmelCase__ :Union[str, Any] , lowerCAmelCase__ :int ) -> Dict:
'''simple docstring'''
return b if a == 0 else greatest_common_divisor(b % a , lowerCAmelCase__ )
class... | 358 | """simple docstring"""
import logging
from dataclasses import dataclass, field
from typing import Optional
from seqaseq_trainer import arg_to_scheduler
from transformers import TrainingArguments
__lowerCAmelCase : Optional[Any] =logging.getLogger(__name__)
@dataclass
class ... | 32 | 0 |
"""simple docstring"""
import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import numpy as np
import pyarrow as pa
from .. import config
from ..download.streaming_download_manager import... | 359 | """simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
def UpperCAmelCase__ ( lowerCAmelCase__ :Union[str, Any] ) -> Dict:
'''simple docstring'''
if "img... | 32 | 0 |
"""simple docstring"""
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
... | 360 | """simple docstring"""
class _A :
def __init__( self , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
"""simple docstring"""
lowercase = None
lowercase = None
l... | 32 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : Optional[int] =logging.get_logger(__name__)
__lowerCAmelCase : Dict ={
"""tiiuae/falcon-40b""": """https://huggingface.co/tiiuae/falcon-40b/resolve/main/con... | 361 | """simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
__lowerCAmelCa... | 32 | 0 |
"""simple docstring"""
from pathlib import Path
import cva
import numpy as np
from matplotlib import pyplot as plt
def UpperCAmelCase__ ( lowerCAmelCase__ :np.ndarray , lowerCAmelCase__ :np.ndarray , lowerCAmelCase__ :np.ndarray , lowerCAmelCase__ :int , lowerCAmelCas... | 362 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__lowerCAmelCase : List[Any] ={
"""configuration_swiftformer""": [
"""SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
... | 32 | 0 |
"""simple docstring"""
import json
import os
import shutil
import tempfile
from unittest import TestCase
from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from t... | 363 | """simple docstring"""
import copy
from typing import Dict, List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
__lowerCAmelCase : Tuple ={
"""facebook/mask2former-swin-small-coco-instance""": (
""... | 32 | 0 |
import gc
import unittest
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DDPMScheduler,
PriorTransformer,
StableUnCLIPPipeline,
UNetaDConditionModel,
)
from diff... | 364 | """simple docstring"""
import argparse
import os
import torch
from transformers import FlavaImageCodebook, FlavaImageCodebookConfig
def UpperCAmelCase__ ( lowerCAmelCase__ :Any , lowerCAmelCase__ :Optional[Any] , lowerCAmelCase__ :Dict , lowerCAmelCase__ :Any ) ->... | 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :list ) -> int:
'''simple docstring'''
if not grid or not grid[0]:
raise TypeError("""The grid does not contain the appropriate information""" )
for cell_n in range(1 , len(grid[0] ) ... | 365 | """simple docstring"""
import enum
import shutil
import sys
__lowerCAmelCase , __lowerCAmelCase : List[str] =shutil.get_terminal_size()
__lowerCAmelCase : Union[str, Any] ={"""UP""": """A""", """DOWN""": """B""", """RIGHT""": """C""", """LEFT""": """D"""}
class ... | 32 | 0 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
... | 366 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise TypeError("""only integers accepted as input""" )
else:
lowercase ... | 32 | 0 |
"""simple docstring"""
import string
import numpy
def UpperCAmelCase__ ( lowerCAmelCase__ :int , lowerCAmelCase__ :int ) -> int:
'''simple docstring'''
return b if a == 0 else greatest_common_divisor(b % a , __lowerCamelCase )
class _A :... | 367 | """simple docstring"""
from __future__ import annotations
import matplotlib.pyplot as plt # type: ignore
import numpy
# initial triangle of Koch snowflake
__lowerCAmelCase : List[Any] =numpy.array([0, 0])
__lowerCAmelCase : List[str] =numpy.array([0.5, 0.866_0254])
__lowerCAmelCase... | 32 | 0 |
"""simple docstring"""
import copy
import random
from transformers import CLIPTokenizer
class _A ( lowerCAmelCase ):
def __init__( self , *__lowerCAmelCase , **__lowerCAmelCase ):
"""simple docstring"""
super().__... | 368 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("""34""", """35""", """37""", """4""", """5""", """6""") )
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> ... | 32 | 0 |
"""simple docstring"""
import os
__lowerCAmelCase : List[str] ={"""I""": 1, """V""": 5, """X""": 1_0, """L""": 5_0, """C""": 1_0_0, """D""": 5_0_0, """M""": 1_0_0_0}
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> Union[str, Any]:
'''simple docstring'''
... | 369 | """simple docstring"""
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from... | 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :Optional[Any] = 1_0_0_0_0_0_0 ) -> int:
'''simple docstring'''
lowercase = [i - 1 for i in range(limit + 1 )]
for i in range(2 , limit + 1 ):
if phi[i] == i - 1:
... | 370 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :list[list] ) -> list[list]:
'''simple docstring'''
lowercase = current_set.copy()
for row_index, row in enumerate(lowerCAmelCase__ ):
lowercase = row[0]... | 32 | 0 |
import flax.linen as nn
import jax
import jax.numpy as jnp
class _A ( nn.Module ):
snake_case__ : int
snake_case__ : jnp.dtype = jnp.floataa
def A__ ( self ):
"""simple docstring"""
... | 371 | """simple docstring"""
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
fr... | 32 | 0 |
"""simple docstring"""
from typing import Callable, List, Optional, Union
import PIL
import torch
from transformers import (
CLIPImageProcessor,
CLIPSegForImageSegmentation,
CLIPSegProcessor,
CLIPTextModel,
CLIPTokenizer,
)
from diffusers import DiffusionPipeline
... | 350 | """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."""
)
| 32 | 0 |
"""simple docstring"""
import math
import os
import unittest
from transformers import MegatronBertConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...... | 351 | """simple docstring"""
import json
import os
import unittest
from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
VOCAB_FILES_NAMES,
GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_common impo... | 32 | 0 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_flava import FlavaImageProcessor
__lowerCAmelCase : Any =logging.get_logger(__name__)
class _A ( snake_case_ ):
def __init__( self , *__lowerCAmelCase , **__lowe... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
is_vision_available,
)
__lowerCAmelCase : List[str] ={"""configuration_vit""": ["... | 32 | 0 |
"""simple docstring"""
import tempfile
import torch
from diffusers import PNDMScheduler
from .test_schedulers import SchedulerCommonTest
class _A ( lowerCAmelCase ):
snake_case__ : Optional[int] = (PNDMScheduler,)
snake_case__ : ... | 353 | """simple docstring"""
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class _A ( lowerCAmelCase ):
def __init_... | 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :Optional[Any] , lowerCAmelCase__ :Any , lowerCAmelCase__ :Dict ) -> Tuple:
'''simple docstring'''
if n == 0:
return 1
elif n % 2 == 1:
return (binary_exponentiati... | 354 | """simple docstring"""
from unittest.mock import Mock, patch
from file_transfer.send_file import send_file
@patch("""socket.socket""" )
@patch("""builtins.open""" )
def UpperCAmelCase__ ( lowerCAmelCase__ :Tuple , lowerCAmelCase__ :List[str] ) -> Union[str, Any]:
'... | 32 | 0 |
"""simple docstring"""
from .data_collator import (
DataCollatorForLanguageModeling,
DataCollatorForPermutationLanguageModeling,
DataCollatorForSeqaSeq,
DataCollatorForSOP,
DataCollatorForTokenClassification,
DataCollatorForWholeWordMask,
DataCollatorWithPadding,
Def... | 355 | """simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,... | 32 | 0 |
"""simple docstring"""
import unittest
from transformers import SPIECE_UNDERLINE, XLNetTokenizer, XLNetTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from ...test_tokenization_common import TokenizerTesterMixin
__lowerCAmelCas... | 356 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> bool:
'''simple docstring'''
lowercase = n ** (1 / 3)
return (val * val * val) == n
if __name__ == "__main__":
print(perfect_cube(2_7))
print(perfect_cub... | 32 | 0 |
import argparse
import json
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from typing import Callable, Dict, List, Tuple
import timm
import torch
import torch.nn as nn
from classy_vision.models.regnet import RegNet, RegNetParams, RegNetYaagf, RegNetYaagf, Reg... | 357 | """simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyInpaintPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffuse... | 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :Dict , lowerCAmelCase__ :Union[str, Any] ) -> list:
'''simple docstring'''
lowercase = word.split()
def justify(lowerCAmelCase__ :Optional[Any] , lowerCAmelCase__ :int... | 358 | """simple docstring"""
import logging
from dataclasses import dataclass, field
from typing import Optional
from seqaseq_trainer import arg_to_scheduler
from transformers import TrainingArguments
__lowerCAmelCase : Optional[Any] =logging.getLogger(__name__)
@dataclass
class ... | 32 | 0 |
"""simple docstring"""
from pathlib import Path
from typing import List
from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText
if is_torc... | 359 | """simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
def UpperCAmelCase__ ( lowerCAmelCase__ :Union[str, Any] ) -> Dict:
'''simple docstring'''
if "img... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
from typing import Generic, TypeVar
__lowerCAmelCase : Dict =TypeVar("""T""")
class _A ( Generic[T] ):
def __init__( self , __lowerCAmelCase ):
"""simple docstring"""... | 360 | """simple docstring"""
class _A :
def __init__( self , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
"""simple docstring"""
lowercase = None
lowercase = None
l... | 32 | 0 |
"""simple docstring"""
import os
import re
import warnings
from shutil import copyfile
from typing import List, Optional, Tuple
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
if is_sentencepiece_available():
from ... | 361 | """simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
__lowerCAmelCa... | 32 | 0 |
"""simple docstring"""
from typing import Optional
from torch import nn
from .transformer_ad import TransformeraDModel, TransformeraDModelOutput
class _A ( nn.Module ):
def __init__( self , __lowerCAmelCase = 16 , __lowerCAmelCase = 88 , __lowerCAmelCase = None... | 362 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__lowerCAmelCase : List[Any] ={
"""configuration_swiftformer""": [
"""SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
... | 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :Optional[int] = 1_0 , lowerCAmelCase__ :Tuple = 1_0_0_0 , lowerCAmelCase__ :str = True ) -> int:
'''simple docstring'''
assert (
isinstance(__snake_case , __snake_case )
and... | 363 | """simple docstring"""
import copy
from typing import Dict, List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
__lowerCAmelCase : Tuple ={
"""facebook/mask2former-swin-small-coco-instance""": (
""... | 32 | 0 |
import fire
from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer
def UpperCAmelCase__ ( lowerCAmelCase__ :str , lowerCAmelCase__ :str , **lowerCAmelCase__ :Any ) -> Optional[int]:
'''simple docstring'''
lowercase = AutoConfig.fr... | 364 | """simple docstring"""
import argparse
import os
import torch
from transformers import FlavaImageCodebook, FlavaImageCodebookConfig
def UpperCAmelCase__ ( lowerCAmelCase__ :Any , lowerCAmelCase__ :Optional[Any] , lowerCAmelCase__ :Dict , lowerCAmelCase__ :Any ) ->... | 32 | 0 |
"""simple docstring"""
import argparse
import json
import os
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_wa... | 365 | """simple docstring"""
import enum
import shutil
import sys
__lowerCAmelCase , __lowerCAmelCase : List[str] =shutil.get_terminal_size()
__lowerCAmelCase : Union[str, Any] ={"""UP""": """A""", """DOWN""": """B""", """RIGHT""": """C""", """LEFT""": """D"""}
class ... | 32 | 0 |
"""simple docstring"""
import numpy as np
import torch
from torch.utils.data import Dataset, IterableDataset
from ..utils.generic import ModelOutput
class _A ( lowerCamelCase_ ):
def __init__( self , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):... | 366 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise TypeError("""only integers accepted as input""" )
else:
lowercase ... | 32 | 0 |
"""simple docstring"""
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING
__lowerCAmelCase : Tuple =l... | 367 | """simple docstring"""
from __future__ import annotations
import matplotlib.pyplot as plt # type: ignore
import numpy
# initial triangle of Koch snowflake
__lowerCAmelCase : List[Any] =numpy.array([0, 0])
__lowerCAmelCase : List[str] =numpy.array([0.5, 0.866_0254])
__lowerCAmelCase... | 32 | 0 |
"""simple docstring"""
from .imports import is_rich_available
if is_rich_available():
from rich.traceback import install
install(show_locals=False)
else:
raise ModuleNotFoundError("""To use the rich extension, install rich with `pip install rich`""")
| 368 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("""34""", """35""", """37""", """4""", """5""", """6""") )
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> ... | 32 | 0 |
"""simple docstring"""
import argparse
import os
import pickle
import sys
import torch
from transformers import TransfoXLConfig, TransfoXLLMHeadModel, load_tf_weights_in_transfo_xl
from transformers.models.transfo_xl import tokenization_transfo_xl as data_utils
from transformers.models.transfo_x... | 369 | """simple docstring"""
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
import typing
from collections import Counter
def UpperCAmelCase__ ( lowerCAmelCase__ :List[Any] ) -> List[Any]:
'''simple docstring'''
lowercase = Counter()
for base in range(1 , max_perimeter + 1... | 370 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :list[list] ) -> list[list]:
'''simple docstring'''
lowercase = current_set.copy()
for row_index, row in enumerate(lowerCAmelCase__ ):
lowercase = row[0]... | 32 | 0 |
from typing import Dict, List, Optional, Union
import numpy as np
from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from .utils import PaddingStrategy, TensorType, is_tf_tensor, is_torch_tensor, logging, to_numpy
__lowerCAmelCase : Union[str, Any] =logging.get_logger(__name__... | 371 | """simple docstring"""
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
fr... | 32 | 0 |
"""simple docstring"""
import argparse
import torch
from transformers import (
SpeechTaConfig,
SpeechTaFeatureExtractor,
SpeechTaForSpeechToSpeech,
SpeechTaForSpeechToText,
SpeechTaForTextToSpeech,
SpeechTaProcessor,
SpeechTaTokenizer,
logging,
)
from... | 350 | """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."""
)
| 32 | 0 |
"""simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int = 6_0_0_8_5_1_4_7_5_1_4_3 ) -> Any:
'''simple docstring'''
try:
lowercase = int(UpperCamelCase__ )
except (TypeError, ValueError):
raise TypeError("""Pa... | 351 | """simple docstring"""
import json
import os
import unittest
from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
VOCAB_FILES_NAMES,
GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_common impo... | 32 | 0 |
"""simple docstring"""
import argparse
import os
import shutil
from pathlib import Path
import onnx
import torch
from packaging import version
from torch.onnx import export
from diffusers import OnnxRuntimeModel, OnnxStableDiffusionPipeline, StableDiffusionPipeline
__lowerCAmelCase : Lis... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
is_vision_available,
)
__lowerCAmelCase : List[str] ={"""configuration_vit""": ["... | 32 | 0 |
"""simple docstring"""
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | 353 | """simple docstring"""
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class _A ( lowerCAmelCase ):
def __init_... | 32 | 0 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import center_crop, normalize, rescale, resize, to_channel_dimension_format
from ...image_utils imp... | 354 | """simple docstring"""
from unittest.mock import Mock, patch
from file_transfer.send_file import send_file
@patch("""socket.socket""" )
@patch("""builtins.open""" )
def UpperCAmelCase__ ( lowerCAmelCase__ :Tuple , lowerCAmelCase__ :List[str] ) -> Union[str, Any]:
'... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import BlenderbotConfig, BlenderbotTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_config... | 355 | """simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,... | 32 | 0 |
"""simple docstring"""
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers impo... | 356 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> bool:
'''simple docstring'''
lowercase = n ** (1 / 3)
return (val * val * val) == n
if __name__ == "__main__":
print(perfect_cube(2_7))
print(perfect_cub... | 32 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__lowerCAmelCase : int ={
'''configuration_swinv2''': ['''SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Swinv2Config'''],
}
try:
if not is_torch_available():
... | 357 | """simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyInpaintPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffuse... | 32 | 0 |
"""simple docstring"""
import importlib
import shutil
import threading
import warnings
from typing import List
import fsspec
import fsspec.asyn
from . import compression
from .hffilesystem import HfFileSystem
__lowerCAmelCase : List[Any] =importlib.util.find_spec('''s3fs''') is not ... | 358 | """simple docstring"""
import logging
from dataclasses import dataclass, field
from typing import Optional
from seqaseq_trainer import arg_to_scheduler
from transformers import TrainingArguments
__lowerCAmelCase : Optional[Any] =logging.getLogger(__name__)
@dataclass
class ... | 32 | 0 |
"""simple docstring"""
import os
from collections.abc import Iterator
def UpperCAmelCase__ ( lowerCAmelCase__ :str = "." ) -> str:
'''simple docstring'''
for dir_path, dir_names, filenames in os.walk(lowerCAmelCase__ ):
lowercase = [d for d in dir_na... | 359 | """simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
def UpperCAmelCase__ ( lowerCAmelCase__ :Union[str, Any] ) -> Dict:
'''simple docstring'''
if "img... | 32 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
__lowerCAmelCase : Union[str, Any] ={"""configuration_mra""": ["""MRA_PRETRAINED_CONFIG_... | 360 | """simple docstring"""
class _A :
def __init__( self , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
"""simple docstring"""
lowercase = None
lowercase = None
l... | 32 | 0 |
"""simple docstring"""
import gc
import unittest
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DDPMScheduler,
PriorTransformer,
StableUnCLIPPipeline,
... | 361 | """simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
__lowerCAmelCa... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
from functools import lru_cache
from math import ceil
__lowerCAmelCase : Union[str, Any] =1_0_0
__lowerCAmelCase : Optional[Any] =set(range(3, NUM_PRIMES, 2))
primes.add(2)
__lowerCAmelCase : int
for prime in range(3, ... | 362 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__lowerCAmelCase : List[Any] ={
"""configuration_swiftformer""": [
"""SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
... | 32 | 0 |
"""simple docstring"""
from copy import deepcopy
class _A :
def __init__( self , __lowerCAmelCase = None , __lowerCAmelCase = None ):
"""simple docstring"""
if arr is None and size is not None:
lowercas... | 363 | """simple docstring"""
import copy
from typing import Dict, List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
__lowerCAmelCase : Tuple ={
"""facebook/mask2former-swin-small-coco-instance""": (
""... | 32 | 0 |
import inspect
import tempfile
import unittest
from huggingface_hub import hf_hub_download
from transformers import is_torch_available
from transformers.testing_utils import is_flaky, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import... | 364 | """simple docstring"""
import argparse
import os
import torch
from transformers import FlavaImageCodebook, FlavaImageCodebookConfig
def UpperCAmelCase__ ( lowerCAmelCase__ :Any , lowerCAmelCase__ :Optional[Any] , lowerCAmelCase__ :Dict , lowerCAmelCase__ :Any ) ->... | 32 | 0 |
"""simple docstring"""
from numpy import exp, pi, sqrt
def UpperCAmelCase__ ( lowerCAmelCase__ :str , lowerCAmelCase__ :float = 0.0 , lowerCAmelCase__ :float = 1.0 ) -> Union[str, Any]:
'''simple docstring'''
return 1 / sqrt(2 * pi * sigma**2 ) * exp(-((x... | 365 | """simple docstring"""
import enum
import shutil
import sys
__lowerCAmelCase , __lowerCAmelCase : List[str] =shutil.get_terminal_size()
__lowerCAmelCase : Union[str, Any] ={"""UP""": """A""", """DOWN""": """B""", """RIGHT""": """C""", """LEFT""": """D"""}
class ... | 32 | 0 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from itertools import chain
from typing import Optional, Union
import datasets
import numpy as np
import torch
from datasets import load_dataset
import transformers
from transformers import (
... | 366 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> int:
'''simple docstring'''
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise TypeError("""only integers accepted as input""" )
else:
lowercase ... | 32 | 0 |
"""simple docstring"""
from collections import defaultdict
def UpperCAmelCase__ ( lowerCAmelCase__ :Optional[int] , lowerCAmelCase__ :Tuple ) -> bool:
'''simple docstring'''
lowercase = first_str.lower().strip()
lowercase = ... | 367 | """simple docstring"""
from __future__ import annotations
import matplotlib.pyplot as plt # type: ignore
import numpy
# initial triangle of Koch snowflake
__lowerCAmelCase : List[Any] =numpy.array([0, 0])
__lowerCAmelCase : List[str] =numpy.array([0.5, 0.866_0254])
__lowerCAmelCase... | 32 | 0 |
"""simple docstring"""
from collections import deque
from .hash_table import HashTable
class _A ( __a ):
def __init__( self , *__lowerCAmelCase , **__lowerCAmelCase ):
"""simple docstring"""
super().__init__(*Upper... | 368 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> bool:
'''simple docstring'''
return credit_card_number.startswith(("""34""", """35""", """37""", """4""", """5""", """6""") )
def UpperCAmelCase__ ( lowerCAmelCase__ :str ) -> ... | 32 | 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
... | 369 | """simple docstring"""
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler, UNetaDConditionModel
from... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
import requests
__lowerCAmelCase : List[Any] =set(
"""approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category clicke... | 370 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :list[list] ) -> list[list]:
'''simple docstring'''
lowercase = current_set.copy()
for row_index, row in enumerate(lowerCAmelCase__ ):
lowercase = row[0]... | 32 | 0 |
import socket
def UpperCAmelCase__ ( ) -> Union[str, Any]:
'''simple docstring'''
lowercase = socket.socket(socket.AF_INET , socket.SOCK_STREAM )
lowercase = socket.gethostname()
lowercase = 1_2_3_1_2
sock.co... | 371 | """simple docstring"""
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
fr... | 32 | 0 |
"""simple docstring"""
__lowerCAmelCase : Union[str, Any] ={
"A": ["B", "C", "E"],
"B": ["A", "D", "E"],
"C": ["A", "F", "G"],
"D": ["B"],
"E": ["A", "B", "D"],
"F": ["C"],
"G": ["C"],
}
def UpperCAmelCase__ ( lowerCAmelCase__ :dict , lo... | 350 | """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."""
)
| 32 | 0 |
"""simple docstring"""
import sys
from typing import Tuple
import numpy as np
import torch
from PIL import Image
from torch import nn
from transformers.image_utils import PILImageResampling
from utils import img_tensorize
class _A :
def __init__( self , __lowerCAm... | 351 | """simple docstring"""
import json
import os
import unittest
from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
VOCAB_FILES_NAMES,
GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow
from ...test_tokenization_common impo... | 32 | 0 |
"""simple docstring"""
import warnings
from pathlib import Path
from typing import List, Tuple, Union
import fire
from torch import nn
from transformers import AutoModelForSeqaSeqLM, AutoTokenizer, PreTrainedModel
from transformers.utils import logging
__lowerCAmelCase : List[str] =lo... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
is_vision_available,
)
__lowerCAmelCase : List[str] ={"""configuration_vit""": ["... | 32 | 0 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class _A ( metaclass=lowercase_ ):
snake_case__ : Optional[int] = ["keras_nlp"]
def __init__( self , *__lowerCAmelCase , **__lowerCAmelCase ):
... | 353 | """simple docstring"""
from typing import Optional
import pyspark
from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class _A ( lowerCAmelCase ):
def __init_... | 32 | 0 |
"""simple docstring"""
# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position
__lowerCAmelCase : Optional[Any] ="""2.13.1"""
import platform
import pyarrow
from packaging import version
if version.parse(platfo... | 354 | """simple docstring"""
from unittest.mock import Mock, patch
from file_transfer.send_file import send_file
@patch("""socket.socket""" )
@patch("""builtins.open""" )
def UpperCAmelCase__ ( lowerCAmelCase__ :Tuple , lowerCAmelCase__ :List[str] ) -> Union[str, Any]:
'... | 32 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__lowerCAmelCase : int =logging.get_logger(__name__)
__lowerCAmelCase : Tuple ={
'abeja/gpt-neox-japanese-2.7b': 'https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/m... | 355 | """simple docstring"""
import argparse
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import (
RobertaTokenizer,
TrOCRConfig,
TrOCRForCausalLM,
TrOCRProcessor,
VisionEncoderDecoderModel,
ViTConfig,
ViTImageProcessor,... | 32 | 0 |
"""simple docstring"""
from typing import Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import get_image_size, pad, rescale, to_channel_dimension_format
from ...image_utils import ChannelDimension, ImageInput, make... | 356 | """simple docstring"""
def UpperCAmelCase__ ( lowerCAmelCase__ :int ) -> bool:
'''simple docstring'''
lowercase = n ** (1 / 3)
return (val * val * val) == n
if __name__ == "__main__":
print(perfect_cube(2_7))
print(perfect_cub... | 32 | 0 |
import argparse
import os
import torch
from transformers import (
XLNetConfig,
XLNetForQuestionAnswering,
XLNetForSequenceClassification,
XLNetLMHeadModel,
load_tf_weights_in_xlnet,
)
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging
__lowerCAmelCase : Optional[i... | 357 | """simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import XLMRobertaTokenizerFast
from diffusers import DDIMScheduler, KandinskyInpaintPipeline, KandinskyPriorPipeline, UNetaDConditionModel, VQModel
from diffuse... | 32 | 0 |
"""simple docstring"""
import inspect
from typing import Optional, Union
import numpy as np
import PIL
import torch
from torch.nn import functional as F
from torchvision import transforms
from transformers import CLIPFeatureExtractor, CLIPModel, CLIPTextModel, CLIPTokenizer
from diffusers impor... | 358 | """simple docstring"""
import logging
from dataclasses import dataclass, field
from typing import Optional
from seqaseq_trainer import arg_to_scheduler
from transformers import TrainingArguments
__lowerCAmelCase : Optional[Any] =logging.getLogger(__name__)
@dataclass
class ... | 32 | 0 |
"""simple docstring"""
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 ... | 359 | """simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
def UpperCAmelCase__ ( lowerCAmelCase__ :Union[str, Any] ) -> Dict:
'''simple docstring'''
if "img... | 32 | 0 |
"""simple docstring"""
from queue import Queue
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from ..models.auto import AutoTokenizer
class _A :
def A__ ( self , __lowerCAmelCase ):
"""simple docstring"""
... | 360 | """simple docstring"""
class _A :
def __init__( self , __lowerCAmelCase , __lowerCAmelCase , __lowerCAmelCase ):
"""simple docstring"""
lowercase = None
lowercase = None
l... | 32 | 0 |
"""simple docstring"""
from __future__ import annotations
__lowerCAmelCase : Dict =[-1_0, -5, 0, 5, 5.1, 1_1, 1_3, 2_1, 3, 4, -2_1, -1_0, -5, -1, 0]
__lowerCAmelCase : Optional[int] =[-5, 0, 5, 5.1, 1_1, 1_3, 2_1, -1, 4, -1, -1_0, -5, -1, 0, -1]
def UpperCAmelCase__ ( lowerC... | 361 | """simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
__lowerCAmelCa... | 32 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
__lowerCAmelCase : Union[str, Any] ={}
try:
if not is_sentence... | 362 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
__lowerCAmelCase : List[Any] ={
"""configuration_swiftformer""": [
"""SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
... | 32 | 0 |
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