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 |
|---|---|---|---|---|
__magic_name__ = {
"joule": 1.0,
"kilojoule": 1_0_0_0,
"megajoule": 1_0_0_0_0_0_0,
"gigajoule": 1_0_0_0_0_0_0_0_0_0,
"wattsecond": 1.0,
"watthour": 3_6_0_0,
"kilowatthour": 3_6_0_0_0_0_0,
"newtonmeter": 1.0,
"calorie_nutr": 4_1_8_6.8,
"kilocalorie_nutr": ... | 73 |
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_avail... | 73 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
__magic_name__ = {'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json''',
'''studio-ousia/luke-la... | 73 | 1 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 73 |
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.config import MAX_SHARD_... | 73 | 1 |
import itertools
import math
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all even numbers, all multiples of 3 are not pr... | 73 |
from queue import PriorityQueue
from typing import Any
import numpy as np
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAme... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_ = 10 , lowerCAmelCase_ = 1000 , lowerCAmelCase_ = True):
'''simple docstring'''
assert (
isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ ,... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}
class lowerCAmelCase__ ( __lowerCamelCase ):
... | 73 | 1 |
from __future__ import annotations
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : list[list[int]] = []
lowerCamelCase_ : list[int] = []
lowerCamelCase_ : str ... | 73 |
import json
import logging
import math
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
from datasets import Dataset, load_dataset
import transformers
from transformers import (
CONFIG_MAPPING,
MODEL_FOR_MASKED_LM_MAPPING,
AutoConfig,
AutoM... | 73 | 1 |
from collections import OrderedDict
from typing import Any, List, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import logging
__magic_name__ ... | 73 |
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.... | 73 | 1 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import OPTConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFMode... | 73 |
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMInverseScheduler,
DDIMScheduler,
DPMSolverMultistepInverseS... | 73 | 1 |
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings_flax import FlaxTimestepE... | 73 |
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def _Up... | 73 | 1 |
from __future__ import annotations
import os
import tempfile
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers import is_tensorflow_text_available, is_tf_available
from transformers.testing_utils import require_tensorflow_text, require_tf, slow
from .... | 73 |
import inspect
import os
import unittest
from pathlib import Path
import torch
import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command
class lowerCAmelCase__ ( unittest.TestCase ):
"""... | 73 | 1 |
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.... | 73 |
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class lowerCAmelCase__ ( ... | 73 | 1 |
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | 73 |
import re
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if len(re.findall("[ATCG]" , lowerCAmelCase_)) != len(lowerCAmelCase_):
raise ValueError("Invalid Strand")
return dna.translate(dna.maketrans("ATCG" , "TAGC"))
if __name__ == "__main__... | 73 | 1 |
import argparse
import json
import os
import tensorstore as ts
import torch
from flax import serialization
from flax.traverse_util import flatten_dict, unflatten_dict
from tensorflow.io import gfile
from transformers.modeling_utils import dtype_byte_size
from transformers.models.switch_transformers.c... | 73 |
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = False):
'''simple docstring'''
if radian_mode:
return [magn... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
if digit_amount > 0:
return round(number - int(lowerCAmelCase_) , lowerCAmelCase_)
return number - int(lowerCAmelCase_)
if __name__ == "__main__":
print(decimal_isolate(1.53, 0))
... | 73 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''ClapFeatureExtractor'''
__UpperCAmelCase : ... | 73 | 1 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from trans... | 73 |
def __magic_name__ ( lowerCAmelCase_ = "The quick brown fox jumps over the lazy dog" , ):
'''simple docstring'''
lowerCamelCase_ : Any = set()
# Replace all the whitespace in our sentence
lowerCamelCase_ : str = input_str.replace(" " ... | 73 | 1 |
import argparse
import json
import subprocess
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : Dict = []
lowerCamelCase_ : Optional[int] = (
F"""curl -H \"Accept: appl... | 73 |
__magic_name__ = {
"joule": 1.0,
"kilojoule": 1_0_0_0,
"megajoule": 1_0_0_0_0_0_0,
"gigajoule": 1_0_0_0_0_0_0_0_0_0,
"wattsecond": 1.0,
"watthour": 3_6_0_0,
"kilowatthour": 3_6_0_0_0_0_0,
"newtonmeter": 1.0,
"calorie_nutr": 4_1_8_6.8,
"kilocalorie_nutr": ... | 73 | 1 |
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
__magic_name__ = ... | 73 |
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
__magic_name__ = logging.get_logger(__na... | 73 | 1 |
import argparse
import json
import gdown
import numpy as np
import torch
from huggingface_hub import hf_hub_download
from transformers import (
VideoMAEConfig,
VideoMAEForPreTraining,
VideoMAEForVideoClassification,
VideoMAEImageProcessor,
)
def __magic_name__ ... | 73 |
def __magic_name__ ( lowerCAmelCase_ = 10 , lowerCAmelCase_ = 1000 , lowerCAmelCase_ = True):
'''simple docstring'''
assert (
isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ ,... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : Any = generate_pascal_triangle(lowerCAmelCase_)
for row_idx in range(lowerCAmelCase_):
# Print left spaces
for _ in range(num_rows - row_idx - 1):
print(end=" ")
# Print row ... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''microsoft/cvt-13''': '''https://huggingface.co/microsoft/cvt-13/resolve/main/config.json''',
# See all Cvt models at https://hug... | 73 | 1 |
import math
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''facebook/data2vec-base-960h''': '''https://huggingface.co/facebook/data2vec-audio-base-960h/resolve/main/config.json''... | 73 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
__magic_name__ = {'''processing_layoutxlm''': ['''LayoutXLMProcessor'... | 73 | 1 |
from __future__ import annotations
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
if (direction == 1 and array[indexa] > array[indexa]) or (
direction == 0 and array[indexa] < array[indexa]... | 73 |
from typing import List, Optional
import numpy as np
from ...processing_utils import ProcessorMixin
from ...utils import to_numpy
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''EncodecFeatureExtr... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if not isinstance(lowerCAmelCase_ , lowerCAmelCase_):
raise ValueError("multiplicative_persistence() only accepts integral values")
if num < 0:
raise ValueError("multiplicative_persistence() does not accept negative v... | 73 |
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
if digit_amount > 0:
return round(number - int(lowerCAmelCase_) , lowerCAmelCase_)
return number - int(lowerCAmelCase_)
if __name__ == "__main__":
print(decimal_isolate(1.53, 0))
... | 73 | 1 |
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
__magic_name__ = logging.get_logger(__na... | 73 |
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_avail... | 73 | 1 |
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device
__magic_name__ = False
class lowerCAmelCase__ ( unittest.TestCase ... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json''',
'''studio-ousia/luke-la... | 73 | 1 |
from __future__ import annotations
__magic_name__ = []
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
for i in range(len(lowerCAmelCase_)):
if board[row][i] == 1:
return False
for i in range(len(l... | 73 |
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.config import MAX_SHARD_... | 73 | 1 |
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''facebook/wav2vec2-base-960h''': '''https://huggingface.co/facebook/wav2vec2-base-960h/resolve/ma... | 73 |
from queue import PriorityQueue
from typing import Any
import numpy as np
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAme... | 73 | 1 |
from random import randint, random
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = False , lowerCAmelCase_ = False , lowerCAmelCase_ = 5 , ):
'''simple docstring'''
lowerCamelCase_ : Any = ... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}
class lowerCAmelCase__ ( __lowerCamelCase ):
... | 73 | 1 |
import warnings
from ...utils import logging
from .image_processing_beit import BeitImageProcessor
__magic_name__ = logging.get_logger(__name__)
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
def __init__( self ... | 73 |
import json
import logging
import math
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
from datasets import Dataset, load_dataset
import transformers
from transformers import (
CONFIG_MAPPING,
MODEL_FOR_MASKED_LM_MAPPING,
AutoConfig,
AutoM... | 73 | 1 |
__magic_name__ = 9.8_06_65
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = g):
'''simple docstring'''
if fluid_density <= 0:
raise ValueError("Impossible fluid density")
if volume < 0:
raise ValueError("Impossible Object vol... | 73 |
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.... | 73 | 1 |
import argparse
import logging
import pickle
from collections import Counter
logging.basicConfig(
format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
__magic_name__ = logging.getLogger(__name__)
if __name__ == "__main_... | 73 |
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMInverseScheduler,
DDIMScheduler,
DPMSolverMultistepInverseS... | 73 | 1 |
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
__magic_name__ = False
class lowerCAmelCase__ ( uni... | 73 |
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def _Up... | 73 | 1 |
from __future__ import annotations
def __magic_name__ ( lowerCAmelCase_ = 4):
'''simple docstring'''
lowerCamelCase_ : Tuple = abs(lowerCAmelCase_) or 4
return [[1 + x + y * row_size for x in range(lowerCAmelCase_)] for y in range(lowerCAmelCase_)]
... | 73 |
import inspect
import os
import unittest
from pathlib import Path
import torch
import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command
class lowerCAmelCase__ ( unittest.TestCase ):
"""... | 73 | 1 |
import math
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : Union[str, Any] = [True] * n
lowerCamelCase_ : List[str] = False
lowerCamelCase_ : Optional[int] = False
lowerCa... | 73 |
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class lowerCAmelCase__ ( ... | 73 | 1 |
import argparse
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed
from accelerate import Accelerator, ... | 73 |
import re
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if len(re.findall("[ATCG]" , lowerCAmelCase_)) != len(lowerCAmelCase_):
raise ValueError("Invalid Strand")
return dna.translate(dna.maketrans("ATCG" , "TAGC"))
if __name__ == "__main__... | 73 | 1 |
import argparse
import requests
import torch
# pip3 install salesforce-lavis
# I'm actually installing a slightly modified version: pip3 install git+https://github.com/nielsrogge/LAVIS.git@fix_lavis
from lavis.models import load_model_and_preprocess
from PIL import Image
from transformers import (
... | 73 |
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = False):
'''simple docstring'''
if radian_mode:
return [magn... | 73 | 1 |
import numpy as np
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = 1E-12 , lowerCAmelCase_ = 100 , ):
'''simple docstring'''
assert np.shape(lowerCAmelCase_)[0] == np.shape(lowerCAmelCase_)[1]
# Ensure proper dimensionality.
asse... | 73 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''ClapFeatureExtractor'''
__UpperCAmelCase : ... | 73 | 1 |
import numpy as np
import torch
from torch.utils.data import Dataset, IterableDataset
from ..utils.generic import ModelOutput
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
def __init__( self , a_ , a_ , ... | 73 |
def __magic_name__ ( lowerCAmelCase_ = "The quick brown fox jumps over the lazy dog" , ):
'''simple docstring'''
lowerCamelCase_ : Any = set()
# Replace all the whitespace in our sentence
lowerCamelCase_ : str = input_str.replace(" " ... | 73 | 1 |
import json
import os
import torch
from diffusers import UNetaDModel
os.makedirs('''hub/hopper-medium-v2/unet/hor32''', exist_ok=True)
os.makedirs('''hub/hopper-medium-v2/unet/hor128''', exist_ok=True)
os.makedirs('''hub/hopper-medium-v2/value_function''', exist_ok=True)
def ... | 73 |
__magic_name__ = {
"joule": 1.0,
"kilojoule": 1_0_0_0,
"megajoule": 1_0_0_0_0_0_0,
"gigajoule": 1_0_0_0_0_0_0_0_0_0,
"wattsecond": 1.0,
"watthour": 3_6_0_0,
"kilowatthour": 3_6_0_0_0_0_0,
"newtonmeter": 1.0,
"calorie_nutr": 4_1_8_6.8,
"kilocalorie_nutr": ... | 73 | 1 |
import unittest
import numpy as np
import torch
from .utils_summarization import build_mask, compute_token_type_ids, process_story, truncate_or_pad
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def _UpperCamelCase ( ... | 73 |
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
__magic_name__ = logging.get_logger(__na... | 73 | 1 |
from operator import delitem, getitem, setitem
import pytest
from data_structures.hashing.hash_map import HashMap
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
return getitem, k
def __magic_name__ ( lowerCAmelCase_ , low... | 73 |
def __magic_name__ ( lowerCAmelCase_ = 10 , lowerCAmelCase_ = 1000 , lowerCAmelCase_ = True):
'''simple docstring'''
assert (
isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ ,... | 73 | 1 |
import warnings
from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor
__magic_name__ = logging.get_logger(__name__)
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
def __init__( self ... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''microsoft/cvt-13''': '''https://huggingface.co/microsoft/cvt-13/resolve/main/config.json''',
# See all Cvt models at https://hug... | 73 | 1 |
from collections import namedtuple
import requests
from lxml import html # type: ignore
__magic_name__ = namedtuple('''covid_data''', '''cases deaths recovered''')
def __magic_name__ ( lowerCAmelCase_ = "https://www.worldometers.info/coronavirus/"):
'''simple docst... | 73 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
__magic_name__ = {'''processing_layoutxlm''': ['''LayoutXLMProcessor'... | 73 | 1 |
import numpy as np
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
return 1 / (1 + np.exp(-vector))
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
return vector * sigmoid(lowerCAmelCase_)
if __name__ == "... | 73 |
from typing import List, Optional
import numpy as np
from ...processing_utils import ProcessorMixin
from ...utils import to_numpy
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''EncodecFeatureExtr... | 73 | 1 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : List[str] = ['''image_processor''', '''tokenizer''']
__Up... | 73 |
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
if digit_amount > 0:
return round(number - int(lowerCAmelCase_) , lowerCAmelCase_)
return number - int(lowerCAmelCase_)
if __name__ == "__main__":
print(decimal_isolate(1.53, 0))
... | 73 | 1 |
from math import isqrt, loga
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : List[str] = [True] * max_number
for i in range(2 , isqrt(max_number - 1) + 1):
if is_prime[i]:
for j in range(i**2 , lowerCAmelC... | 73 |
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_avail... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if p < 2:
raise ValueError("p should not be less than 2!")
elif p == 2:
return True
lowerCamelCase_ : Tuple = 4
lowerCamelCase_ : Union[str, Any] = (1 << p) - 1
for _ in... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json''',
'''studio-ousia/luke-la... | 73 | 1 |
import math
import os
from copy import deepcopy
import datasets
import evaluate
import torch
import transformers
from datasets import load_dataset
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer
from accelerate import Accelerator
fr... | 73 |
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.config import MAX_SHARD_... | 73 | 1 |
import numpy as np
import datasets
__magic_name__ = '''
Compute the Mahalanobis Distance
Mahalonobis distance is the distance between a point and a distribution.
And not between two distinct points. It is effectively a multivariate equivalent of the Euclidean distance.
It was introduced by Prof.... | 73 |
from queue import PriorityQueue
from typing import Any
import numpy as np
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAme... | 73 | 1 |
from __future__ import annotations
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
if len(lowerCAmelCase_) < k or k < 0:
raise ValueError("Invalid Input")
lowerCamelCase_ : Any = sum(array[:k])
for i in range(le... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}
class lowerCAmelCase__ ( __lowerCamelCase ):
... | 73 | 1 |
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 __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_):
'''sim... | 73 |
import json
import logging
import math
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
from datasets import Dataset, load_dataset
import transformers
from transformers import (
CONFIG_MAPPING,
MODEL_FOR_MASKED_LM_MAPPING,
AutoConfig,
AutoM... | 73 | 1 |
from __future__ import annotations
from collections.abc import Sequence
from typing import Literal
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : Optional[Any] = list(lowerCAmelCase_)
lowerCame... | 73 |
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.... | 73 | 1 |
from io import BytesIO
from typing import List, Union
import requests
from ..utils import add_end_docstrings, is_decord_available, is_torch_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_decord_available():
import numpy as np
from decord imp... | 73 |
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMInverseScheduler,
DDIMScheduler,
DPMSolverMultistepInverseS... | 73 | 1 |
import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
import datasets
import datasets.config
@pytest.fixture(scope="session")
def __magic_name__ ( ... | 73 |
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def _Up... | 73 | 1 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available
__magic_name__ = {'''tokenization_herbert''': ['''HerbertTokenizer''']}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable(... | 73 |
import inspect
import os
import unittest
from pathlib import Path
import torch
import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command
class lowerCAmelCase__ ( unittest.TestCase ):
"""... | 73 | 1 |
import secrets
from random import shuffle
from string import ascii_letters, ascii_lowercase, ascii_uppercase, digits, punctuation
def __magic_name__ ( lowerCAmelCase_ = 8):
'''simple docstring'''
lowerCamelCase_ : int = ascii_letters + digits + punctua... | 73 |
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class lowerCAmelCase__ ( ... | 73 | 1 |
import unittest
from pathlib import Path
from tempfile import NamedTemporaryFile, TemporaryDirectory
from transformers import BertConfig, BertTokenizerFast, FeatureExtractionPipeline
from transformers.convert_graph_to_onnx import (
convert,
ensure_valid_input,
generate_identified_filename,
... | 73 |
import re
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if len(re.findall("[ATCG]" , lowerCAmelCase_)) != len(lowerCAmelCase_):
raise ValueError("Invalid Strand")
return dna.translate(dna.maketrans("ATCG" , "TAGC"))
if __name__ == "__main__... | 73 | 1 |
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''microsoft/unispeech-large-1500h-cv''': (
'''https://huggingface.co/microsoft/unispeech-... | 73 |
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = False):
'''simple docstring'''
if radian_mode:
return [magn... | 73 | 1 |
import warnings
from typing import List, Optional, Union
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class lowerCAmelCase__ ( __lowe... | 73 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''ClapFeatureExtractor'''
__UpperCAmelCase : ... | 73 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''SCUT-DLVCLab/lilt-roberta-en-base''': (
'''https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json... | 73 |
def __magic_name__ ( lowerCAmelCase_ = "The quick brown fox jumps over the lazy dog" , ):
'''simple docstring'''
lowerCamelCase_ : Any = set()
# Replace all the whitespace in our sentence
lowerCamelCase_ : str = input_str.replace(" " ... | 73 | 1 |
import copy
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
__magic_name__ = logging.get_logger(__... | 73 |
__magic_name__ = {
"joule": 1.0,
"kilojoule": 1_0_0_0,
"megajoule": 1_0_0_0_0_0_0,
"gigajoule": 1_0_0_0_0_0_0_0_0_0,
"wattsecond": 1.0,
"watthour": 3_6_0_0,
"kilowatthour": 3_6_0_0_0_0_0,
"newtonmeter": 1.0,
"calorie_nutr": 4_1_8_6.8,
"kilocalorie_nutr": ... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_): # noqa: E741
'''simple docstring'''
lowerCamelCase_ : Optional[Any] = len(lowerCAmelCase_)
lowerCamelCase_ : Optional[Any] = 0
lowerCamelCase_ : Union[str, Any] = [0] * n
lowerCam... | 73 |
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
__magic_name__ = logging.get_logger(__na... | 73 | 1 |
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__magic_name__ = {
'''configuration_autoformer''': [
'''AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''AutoformerConf... | 73 |
def __magic_name__ ( lowerCAmelCase_ = 10 , lowerCAmelCase_ = 1000 , lowerCAmelCase_ = True):
'''simple docstring'''
assert (
isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ ,... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : Optional[Any] = 0
lowerCamelCase_ : Dict = len(lowerCAmelCase_) - 1
while left <= right:
# avoid divided by 0 during interpolation
if... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''microsoft/cvt-13''': '''https://huggingface.co/microsoft/cvt-13/resolve/main/config.json''',
# See all Cvt models at https://hug... | 73 | 1 |
import os
import tempfile
import unittest
from transformers import FlaubertConfig, is_torch_available
from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, id... | 73 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
__magic_name__ = {'''processing_layoutxlm''': ['''LayoutXLMProcessor'... | 73 | 1 |
import unittest
from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax
from .test_modeling_common_flax import FlaxModelTesterMixin
if is_flax_available():
import jax
@require_flax
class lowe... | 73 |
from typing import List, Optional
import numpy as np
from ...processing_utils import ProcessorMixin
from ...utils import to_numpy
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''EncodecFeatureExtr... | 73 | 1 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
__magic_name__ = {
'''configuration_mask2former''': [
'''MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
'''Mask2FormerConfig''',
],... | 73 |
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
if digit_amount > 0:
return round(number - int(lowerCAmelCase_) , lowerCAmelCase_)
return number - int(lowerCAmelCase_)
if __name__ == "__main__":
print(decimal_isolate(1.53, 0))
... | 73 | 1 |
from queue import PriorityQueue
from typing import Any
import numpy as np
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAme... | 73 |
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_avail... | 73 | 1 |
from typing import Any, Callable, Dict, List, Optional, Union
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
StableDiffusionPip... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json''',
'''studio-ousia/luke-la... | 73 | 1 |
import unittest
from transformers import PegasusConfig, PegasusTokenizer, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
if is_flax_available():... | 73 |
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.config import MAX_SHARD_... | 73 | 1 |
import numpy as np
import torch
import tqdm
from ...models.unet_ad import UNetaDModel
from ...pipelines import DiffusionPipeline
from ...utils import randn_tensor
from ...utils.dummy_pt_objects import DDPMScheduler
class lowerCAmelCase__ ( __lowerCamelCase ):
""... | 73 |
from queue import PriorityQueue
from typing import Any
import numpy as np
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAme... | 73 | 1 |
from typing import Optional
from urllib.parse import quote
import huggingface_hub as hfh
from packaging import version
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = None):
'''simple docstring'''
if version.parse(hfh.__version__).relea... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}
class lowerCAmelCase__ ( __lowerCamelCase ):
... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_ = 5000_0000):
'''simple docstring'''
lowerCamelCase_ : int = set()
lowerCamelCase_ : List[str] = int((limit - 24) ** (1 / 2))
lowerCamelCase_ : Any = set(range(3 , prime_square_l... | 73 |
import json
import logging
import math
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
from datasets import Dataset, load_dataset
import transformers
from transformers import (
CONFIG_MAPPING,
MODEL_FOR_MASKED_LM_MAPPING,
AutoConfig,
AutoM... | 73 | 1 |
from math import factorial, pi
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ = 30):
'''simple docstring'''
if not isinstance(lowerCAmelCase_ , (int, float)):
raise ValueError("maclaurin_sin() requires either an int or float for theta")
if not isinstanc... | 73 |
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.... | 73 | 1 |
# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position
__magic_name__ = '''2.13.1'''
import platform
import pyarrow
from packaging import version
if version.parse(platform.python_version()) < version.parse('''3.7''... | 73 |
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMInverseScheduler,
DDIMScheduler,
DPMSolverMultistepInverseS... | 73 | 1 |
class lowerCAmelCase__ :
"""simple docstring"""
def __init__( self ):
lowerCamelCase_ : Tuple = {}
def _UpperCamelCase ( self ):
print(self.vertex )
for i in self.vertex:
print(a_ , ... | 73 |
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def _Up... | 73 | 1 |
# Algorithm for the pigeonhole sorting
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ : Dict = min(lowerCAmelCase_) # min() finds the minimum value
lowerCamelCase_ : str = max(lowerCAmelCase_) ... | 73 |
import inspect
import os
import unittest
from pathlib import Path
import torch
import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command
class lowerCAmelCase__ ( unittest.TestCase ):
"""... | 73 | 1 |
from cva import destroyAllWindows, imread, imshow, waitKey
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
lowerCamelCase_ ,lowerCamelCase_ : Tuple = img.shape[0], img.shape[1]
# converting each pixel's color to its negative
for i... | 73 |
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class lowerCAmelCase__ ( ... | 73 | 1 |
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import datasets
import datasets.config
from .utils import require_beam
class lowerCAmelCase__ ( datasets.BeamBasedBuilder ):
"""simple docstr... | 73 |
import re
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if len(re.findall("[ATCG]" , lowerCAmelCase_)) != len(lowerCAmelCase_):
raise ValueError("Invalid Strand")
return dna.translate(dna.maketrans("ATCG" , "TAGC"))
if __name__ == "__main__... | 73 | 1 |
from __future__ import annotations
class lowerCAmelCase__ :
"""simple docstring"""
def __init__( self , a_ ):
lowerCamelCase_ : List[str] = data
lowerCamelCase_ : Node | None = None
... | 73 |
from __future__ import annotations
from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ = False):
'''simple docstring'''
if radian_mode:
return [magn... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
return "".join(chr(ord(lowerCAmelCase_) - 32) if "a" <= char <= "z" else char for char in word)
if __name__ == "__main__":
from doctest import testmod
testmod()
| 73 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''ClapFeatureExtractor'''
__UpperCAmelCase : ... | 73 | 1 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''h... | 73 |
def __magic_name__ ( lowerCAmelCase_ = "The quick brown fox jumps over the lazy dog" , ):
'''simple docstring'''
lowerCamelCase_ : Any = set()
# Replace all the whitespace in our sentence
lowerCamelCase_ : str = input_str.replace(" " ... | 73 | 1 |
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''Intel/dpt-large''': '''https://huggingface.co/Intel/dpt-large/resolve/main/config.json'''... | 73 |
__magic_name__ = {
"joule": 1.0,
"kilojoule": 1_0_0_0,
"megajoule": 1_0_0_0_0_0_0,
"gigajoule": 1_0_0_0_0_0_0_0_0_0,
"wattsecond": 1.0,
"watthour": 3_6_0_0,
"kilowatthour": 3_6_0_0_0_0_0,
"newtonmeter": 1.0,
"calorie_nutr": 4_1_8_6.8,
"kilocalorie_nutr": ... | 73 | 1 |
import argparse
import os
# New Code #
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seed
from accele... | 73 |
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging
__magic_name__ = logging.get_logger(__na... | 73 | 1 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
__magic_name__ = {'''processing_layoutxlm''': ['''LayoutXLMProcessor'... | 73 |
def __magic_name__ ( lowerCAmelCase_ = 10 , lowerCAmelCase_ = 1000 , lowerCAmelCase_ = True):
'''simple docstring'''
assert (
isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ , lowerCAmelCase_)
and isinstance(lowerCAmelCase_ ,... | 73 | 1 |
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_avail... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''microsoft/cvt-13''': '''https://huggingface.co/microsoft/cvt-13/resolve/main/config.json''',
# See all Cvt models at https://hug... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
return [sentence[i : i + ngram_size] for i in range(len(lowerCAmelCase_) - ngram_size + 1)]
if __name__ == "__main__":
from doctest import testmod
testmod()
| 73 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
__magic_name__ = {'''processing_layoutxlm''': ['''LayoutXLMProcessor'... | 73 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}
class lowerCAmelCase__ ( __lowerCamelCase ):
... | 73 |
from typing import List, Optional
import numpy as np
from ...processing_utils import ProcessorMixin
from ...utils import to_numpy
class lowerCAmelCase__ ( __lowerCamelCase ):
"""simple docstring"""
__UpperCAmelCase : Dict = '''EncodecFeatureExtr... | 73 | 1 |
def __magic_name__ ( lowerCAmelCase_ = 100):
'''simple docstring'''
lowerCamelCase_ : Dict = 0
lowerCamelCase_ : str = 0
for i in range(1 , n + 1):
sum_of_squares += i**2
sum_of_ints += i
return sum_of_ints**2 - sum_of_squares
... | 73 |
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
if digit_amount > 0:
return round(number - int(lowerCAmelCase_) , lowerCAmelCase_)
return number - int(lowerCAmelCase_)
if __name__ == "__main__":
print(decimal_isolate(1.53, 0))
... | 73 | 1 |
from typing import Any
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , ):
'''simple docstring'''
_validation(
lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelC... | 73 |
import unittest
import numpy as np
from transformers.testing_utils import require_pytesseract, require_torch
from transformers.utils import is_pytesseract_available, is_torch_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_avail... | 73 | 1 |
from math import pi
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_):
'''simple docstring'''
return 2 * pi * radius * (angle / 360)
if __name__ == "__main__":
print(arc_length(9_0, 1_0))
| 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''studio-ousia/luke-base''': '''https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json''',
'''studio-ousia/luke-la... | 73 | 1 |
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def _Up... | 73 |
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.config import MAX_SHARD_... | 73 | 1 |
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''Salesforce/blip-vqa-base''': '''https://huggingface.co/Salesforce/blip-vqa-base/r... | 73 |
from queue import PriorityQueue
from typing import Any
import numpy as np
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAme... | 73 | 1 |
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.
__magic_name__ = 1_0
def __magic_name__ ( lowerCAmelCase_ , lowerCAmelCase_ , lowerC... | 73 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {'''ctrl''': '''https://huggingface.co/ctrl/resolve/main/config.json'''}
class lowerCAmelCase__ ( __lowerCamelCase ):
... | 73 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''edbeeching/decision-transformer-gym-hopper-medium''': (
'''https://huggingface.co/edbeeching/decision-transformer-gym-hopper... | 73 |
import json
import logging
import math
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
from datasets import Dataset, load_dataset
import transformers
from transformers import (
CONFIG_MAPPING,
MODEL_FOR_MASKED_LM_MAPPING,
AutoConfig,
AutoM... | 73 | 1 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''f... | 73 |
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.... | 73 | 1 |
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging
__magic_name__ = logging.ge... | 73 |
import gc
import random
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMInverseScheduler,
DDIMScheduler,
DPMSolverMultistepInverseS... | 73 | 1 |
import json
import logging
import os
import sys
from time import time
from unittest.mock import patch
from transformers.testing_utils import TestCasePlus, require_torch_tpu
logging.basicConfig(level=logging.DEBUG)
__magic_name__ = logging.getLogger()
def __magic_name... | 73 |
import unittest
from transformers.utils.backbone_utils import (
BackboneMixin,
get_aligned_output_features_output_indices,
verify_out_features_out_indices,
)
class lowerCAmelCase__ ( unittest.TestCase ):
"""simple docstring"""
def _Up... | 73 | 1 |
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import require_elast... | 73 |
import inspect
import os
import unittest
from pathlib import Path
import torch
import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command
class lowerCAmelCase__ ( unittest.TestCase ):
"""... | 73 | 1 |
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import ViTImageProcessor, ViTMSNConfig, ViTMSNModel
from transformers.image_utils import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
torch.set_grad_enabled(F... | 73 |
import inspect
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel, VQModel
from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class lowerCAmelCase__ ( ... | 73 | 1 |
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__magic_name__ = logging.get_logger(__name__)
__magic_name__ = {
'''microsoft/git-base''': '''https://huggingface.co/microsoft/git-base/resolve/main/... | 73 |
import re
def __magic_name__ ( lowerCAmelCase_):
'''simple docstring'''
if len(re.findall("[ATCG]" , lowerCAmelCase_)) != len(lowerCAmelCase_):
raise ValueError("Invalid Strand")
return dna.translate(dna.maketrans("ATCG" , "TAGC"))
if __name__ == "__main__... | 73 | 1 |
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