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"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
return " ".join(input_str.split()[::-1] )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 30 | """simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 30 | 1 |
"""simple docstring"""
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
... | 30 | """simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
return " ".join(input_str.split()[::-1] )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 30 | 1 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = [1]
for i in range(2 ,lowercase ):
factorials.append(factorials[-1] * i )
assert 0 <= k < factorials[-1] * n, "k out of bounds"
_UpperCAmelCase = []... | 30 | """simple docstring"""
import csv
import tweepy
# Twitter API credentials
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
#... | 30 | 1 |
"""simple docstring"""
from __future__ import annotations
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = []
create_all_state(1 ,lowercase ,lowercase ,[] ,lowercase )
return result
def __UpperCAmelCase ( ... | 30 | """simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
_UpperCAmelCase = {}
_U... | 30 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCAmelCase__ = {
"""configuration_funnel""": ["""FUNNEL_PRETRAINED_CONFIG_ARCHIVE_MAP"""... | 30 | """simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimension
from ...utils import logging... | 30 | 1 |
"""simple docstring"""
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ = {
"""huggingface/time-series-transformer-tourism-monthly""": (
"""ht... | 30 | """simple docstring"""
import csv
from collections import defaultdict
from dataclasses import dataclass, field
from typing import List, Optional
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import ScalarFormatter
from transformers import HfArgumentParser
def __UpperCAmelCase... | 30 | 1 |
"""simple docstring"""
import tempfile
import unittest
import numpy as np
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import BertConfig, is_flax_available
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_flax
if is_flax_... | 30 | """simple docstring"""
import os
import pytest
from attr import dataclass
UpperCAmelCase__ = """us-east-1""" # defaults region
@dataclass
class a :
_snake_case : str
_snake_case : Tuple = 'arn:aws:iam::558105141721:role/sagemaker_execution_role'
... | 30 | 1 |
"""simple docstring"""
import functools
import gc
import inspect
import torch
from .imports import is_npu_available, is_xpu_available
def __UpperCAmelCase ( *lowercase ):
"""simple docstring"""
if not isinstance(lowercase ,lowercase ):
_UpperCAmelCase = list(lowercase... | 30 | """simple docstring"""
import string
from math import logaa
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = document.translate(
str.maketrans("""""" ,"""""" ,string.punctuation ) ).replace("""\n""" ,"""""" )
... | 30 | 1 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
try:
_UpperCAmelCase = float(lowercase )
except ValueError:
raise ValueError("""Please enter a valid number""" )
_UpperCAmelCase = decimal - int(lowercase )
if fractional_part... | 30 | """simple docstring"""
import argparse
from torch import nn
# transformers_old should correspond to branch `save_old_prophetnet_model_structure` here
# original prophetnet_checkpoints are saved under `patrickvonplaten/..._old` respectively
from transformers_old.modeling_prophetnet import (
ProphetNetForConditio... | 30 | 1 |
"""simple docstring"""
import itertools
import os
from collections import Counter, defaultdict
from concurrent.futures import ThreadPoolExecutor, as_completed
import numpy as np
import datasets
from .execute import check_correctness
UpperCAmelCase__ = """\
@misc{chen2021evaluating,
title={Evalua... | 30 | """simple docstring"""
import mpmath # for roots of unity
import numpy as np
class a :
def __init__( self : Tuple , __lowerCAmelCase : Dict=None , __lowerCAmelCase : Union[str, Any]=None ):
# Input as list
_UpperCAmelCase = list(poly_a or [0] )[:]
_Upp... | 30 | 1 |
"""simple docstring"""
import argparse
from collections import defaultdict
import yaml
UpperCAmelCase__ = """docs/source/en/_toctree.yml"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
_UpperCAmelCase = defaultdict(lowercase )
for doc in model_doc... | 30 | """simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
UpperCAmelCase__ = logging.get_logger(__name__)
class a ( lowerCAmelCase_ ):
_snake_case : List[str] ... | 30 | 1 |
"""simple docstring"""
from __future__ import annotations
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
# Checks if the entire collection has been sorted
if len(lowercase ) <= 1 or n <= 1:
return
insert_next(lowercase ,n - 1 )
rec_in... | 30 | """simple docstring"""
from itertools import product
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = sides_number
_UpperCAmelCase = max_face_number * dice_number
_UpperCAmelCase = [0] * (max_total + 1)
_UpperCAmelCase = 1
_U... | 30 | 1 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = len(lowercase )
_UpperCAmelCase = len(lowercase )
_UpperCAmelCase = (
first_str_length if first_str_length > second_str_length else second_str_length
... | 30 | """simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
if TYPE_CHECKING:
... | 30 | 1 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_t... | 30 | """simple docstring"""
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
UpperCAmelCase__ = argparse.ArgumentParser()
parser.add_argument("""--dump_path""", de... | 30 | 1 |
"""simple docstring"""
import string
from math import logaa
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = document.translate(
str.maketrans("""""" ,"""""" ,string.punctuation ) ).replace("""\n""" ,"""""" )
... | 30 | """simple docstring"""
import functools
import gc
import inspect
import torch
from .imports import is_npu_available, is_xpu_available
def __UpperCAmelCase ( *lowercase ):
"""simple docstring"""
if not isinstance(lowercase ,lowercase ):
_UpperCAmelCase = list(lowercase... | 30 | 1 |
"""simple docstring"""
import json
import os
from typing import Optional, Tuple
import regex as re
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ = {
"""vocab_file""": """vocab.json""",
... | 30 | """simple docstring"""
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf... | 30 | 1 |
"""simple docstring"""
import tempfile
import unittest
from make_student import create_student_by_copying_alternating_layers
from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch
UpperCAmelCase__ = """sshleifer/bart-... | 30 | """simple docstring"""
from ....configuration_utils import PretrainedConfig
from ....utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ = {
"""Visual-Attention-Network/van-base""": (
"""https://huggingface.co/Visual-Attention-Network/van-base/blo... | 30 | 1 |
"""simple docstring"""
import torch
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
class a ( lowerCAmelCase_ , lowerCAmelCase_ ):
@register_to_config
def __init__( self : Dict , *,
__lowerCA... | 30 | """simple docstring"""
def __UpperCAmelCase ( lowercase = 10_00 ):
"""simple docstring"""
_UpperCAmelCase = 2**power
_UpperCAmelCase = 0
while n:
_UpperCAmelCase , _UpperCAmelCase = r + n % 10, n // 10
return r
if __name__ == "__main__":
print(solution(int(str(input... | 30 | 1 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import TransformeraDModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
from diffusers.pipelines.vq_diffusion.pipeline_vq_diffusion import Learn... | 30 | """simple docstring"""
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.utils.data import DistributedSampler, RandomSampler
from transformers import PreTrainedModel, Trainer, logging
from transformers.integrations import is_fairscale_available
from transformers... | 30 | 1 |
"""simple docstring"""
import unittest
from transformers import (
MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
Pipeline,
ZeroShotClassificationPipeline,
pipeline,
)
from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, re... | 350 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase__ = {
"""configuration_git""": ["""GIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GitConfig""", """GitVisionConfig"""],
"""processing_git""": ["""... | 30 | 0 |
"""simple docstring"""
UpperCAmelCase__ = {"""a""": ["""c""", """b"""], """b""": ["""d""", """e"""], """c""": [], """d""": [], """e""": []}
UpperCAmelCase__ = ["""a""", """b""", """c""", """d""", """e"""]
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ):
... | 351 | """simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import (
Bi... | 30 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase__ = {
"""configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}
try:
if not is_torch_available(... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
UpperCAmelCase__ = {
"""configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_M... | 30 | 0 |
"""simple docstring"""
import random
import sys
import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap
UpperCAmelCase__ = """Usage of script: script_name <size_of_canvas:int>"""
UpperCAmelCase__ = [0] * 1_0_0 + [1] * 1_0
random.shuffle(choice)
... | 353 | """simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 30 | 0 |
"""simple docstring"""
import argparse
import torch
from huggingface_hub import hf_hub_download
from transformers import AutoTokenizer, RobertaPreLayerNormConfig, RobertaPreLayerNormForMaskedLM
from transformers.utils import logging
logging.set_verbosity_info()
UpperCAmelCase__ = logging.get_logger(__n... | 354 | """simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
return " ".join(input_str.split()[::-1] )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 30 | 0 |
"""simple docstring"""
from manim import *
class a ( lowercase__ ):
def lowerCAmelCase_ ( self : List[Any] ):
_UpperCAmelCase = Rectangle(height=0.5 , width=0.5 )
_UpperCAmelCase = Rectangle(height=0.46 , width=0.46 ).set_stroke(width=0 )
... | 355 | """simple docstring"""
import csv
import tweepy
# Twitter API credentials
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
#... | 30 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ ... | 356 | """simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
_UpperCAmelCase = {}
_U... | 30 | 0 |
import sacrebleu as scb
from packaging import version
from sacrebleu import TER
import datasets
UpperCAmelCase__ = "\\n@inproceedings{snover-etal-2006-study,\n title = \"A Study of Translation Edit Rate with Targeted Human Annotation\",\n author = \"Snover, Matthew and\n Dorr, Bonnie and\n ... | 357 | """simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimension
from ...utils import logging... | 30 | 0 |
"""simple docstring"""
from math import factorial
def __UpperCAmelCase ( lowercase = 1_00 ):
"""simple docstring"""
return sum(int(lowerCamelCase_ ) for x in str(factorial(lowerCamelCase_ ) ) )
if __name__ == "__main__":
print(solution... | 358 | """simple docstring"""
import csv
from collections import defaultdict
from dataclasses import dataclass, field
from typing import List, Optional
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import ScalarFormatter
from transformers import HfArgumentParser
def __UpperCAmelCase... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
def __UpperCAmelCase ( lowercase ): # This function is recursive
"""simple docstring"""
_UpperCAmelCase = len(lowercase )
# If the array contains only one element, we return it (it's the stop condition of
# recursi... | 359 | """simple docstring"""
import os
import pytest
from attr import dataclass
UpperCAmelCase__ = """us-east-1""" # defaults region
@dataclass
class a :
_snake_case : str
_snake_case : Tuple = 'arn:aws:iam::558105141721:role/sagemaker_execution_role'
... | 30 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase__ = {
"""configuration_perceiver""": ["""PERCEIVER_PRETRAINED_CONFIG_ARCH... | 360 | """simple docstring"""
import string
from math import logaa
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = document.translate(
str.maketrans("""""" ,"""""" ,string.punctuation ) ).replace("""\n""" ,"""""" )
... | 30 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase__ = {
"""configuration_blip_2""": [
"""BLIP_2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
"""Blip2Config""",
"""Blip2QFormerConfig... | 361 | """simple docstring"""
import argparse
from torch import nn
# transformers_old should correspond to branch `save_old_prophetnet_model_structure` here
# original prophetnet_checkpoints are saved under `patrickvonplaten/..._old` respectively
from transformers_old.modeling_prophetnet import (
ProphetNetForConditio... | 30 | 0 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
if any(not isinstance(lowercase__ ,lowercase__ ) or x < 0 for x in sequence ):
raise TypeError("""Sequence must be list of non-negative integers""" )
for _ in range(len(l... | 362 | """simple docstring"""
import mpmath # for roots of unity
import numpy as np
class a :
def __init__( self : Tuple , __lowerCAmelCase : Dict=None , __lowerCAmelCase : Union[str, Any]=None ):
# Input as list
_UpperCAmelCase = list(poly_a or [0] )[:]
_Upp... | 30 | 0 |
from copy import deepcopy
import torch
import torch.nn.functional as F
from torch.optim import AdamW
from torch.optim.lr_scheduler import LambdaLR
from torch.utils.data import DataLoader
from accelerate.accelerator import Accelerator
from accelerate.state import GradientState
from accelerate.test_utils import Regress... | 363 | """simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
UpperCAmelCase__ = logging.get_logger(__name__)
class a ( lowerCAmelCase_ ):
_snake_case : List[str] ... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
from typing import Any
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
create_state_space_tree(a_ ,[] ,0 )
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ):
... | 364 | """simple docstring"""
from itertools import product
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = sides_number
_UpperCAmelCase = max_face_number * dice_number
_UpperCAmelCase = [0] * (max_total + 1)
_UpperCAmelCase = 1
_U... | 30 | 0 |
# Lint as: python3
import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING, Dict, Optional
import numpy as np
import pyarrow as pa
from .. import config
from ..utils.logging import get_logger
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter
if TYPE_CHECKING:
... | 365 | """simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
if TYPE_CHECKING:
... | 30 | 0 |
"""simple docstring"""
from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
def is_in_circle(lowercase ,lowercase ) -> bool:
_UpperCAmelCase ... | 366 | """simple docstring"""
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
UpperCAmelCase__ = argparse.ArgumentParser()
parser.add_argument("""--dump_path""", de... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
if not nums:
raise ValueError("""List is empty""" )
return sum(a_ ) / len(a_ )
if __name__ == "__main__":
import doctest
doctest.testmo... | 367 | """simple docstring"""
import functools
import gc
import inspect
import torch
from .imports import is_npu_available, is_xpu_available
def __UpperCAmelCase ( *lowercase ):
"""simple docstring"""
if not isinstance(lowercase ,lowercase ):
_UpperCAmelCase = list(lowercase... | 30 | 0 |
"""simple docstring"""
import os
def __UpperCAmelCase ( lowercase = "matrix.txt" ):
"""simple docstring"""
with open(os.path.join(os.path.dirname(_UpperCamelCase ) ,_UpperCamelCase ) ) as in_file:
_UpperCAmelCase = in_file.read()
_UpperCAmelCase = [[int(... | 368 | """simple docstring"""
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf... | 30 | 0 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = [0 for i in range(r + 1 )]
# nc0 = 1
_UpperCAmelCase = 1
for i in range(1 ,n + 1 ):
# to compute current row from previous row.
_UpperCAmelCase ... | 369 | """simple docstring"""
from ....configuration_utils import PretrainedConfig
from ....utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ = {
"""Visual-Attention-Network/van-base""": (
"""https://huggingface.co/Visual-Attention-Network/van-base/blo... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
# preprocessing the first row
for i in range(1 ,len(matrix[0] ) ):
matrix[0][i] += matrix[0][i - 1]
# preprocessing the first column
for i in ... | 370 | """simple docstring"""
def __UpperCAmelCase ( lowercase = 10_00 ):
"""simple docstring"""
_UpperCAmelCase = 2**power
_UpperCAmelCase = 0
while n:
_UpperCAmelCase , _UpperCAmelCase = r + n % 10, n // 10
return r
if __name__ == "__main__":
print(solution(int(str(input... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ):
"""simple docstring"""
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError("""One and only one argument must be 0""" ... | 371 | """simple docstring"""
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.utils.data import DistributedSampler, RandomSampler
from transformers import PreTrainedModel, Trainer, logging
from transformers.integrations import is_fairscale_available
from transformers... | 30 | 0 |
"""simple docstring"""
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase__ : Optional[int] = logging.get_logger(__name__)
UpperCAmelCase__ : Optional[int] = {
"""asapp/sew-d-tiny-100k""": """https://hugg... | 350 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase__ = {
"""configuration_git""": ["""GIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GitConfig""", """GitVisionConfig"""],
"""processing_git""": ["""... | 30 | 0 |
"""simple docstring"""
import os
from pickle import UnpicklingError
from typing import Dict, Tuple
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict, unflatten_dict
import transformers
from .utils import logging
UpperCAmelC... | 351 | """simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import (
Bi... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
import os
from typing import Any
import requests
UpperCAmelCase__ = """https://api.github.com"""
# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
UpperCAmelCase__ = BASE_URL + """/user"... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
UpperCAmelCase__ = {
"""configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_M... | 30 | 0 |
"""simple docstring"""
import gc
import random
import unittest
import torch
from diffusers import (
IFImgaImgPipeline,
IFImgaImgSuperResolutionPipeline,
IFInpaintingPipeline,
IFInpaintingSuperResolutionPipeline,
IFPipeline,
IFSuperResolutionPipeline,
)
from diffusers.models.attention_process... | 353 | """simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 30 | 0 |
"""simple docstring"""
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union
# Build the list of all feature extractors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_re... | 354 | """simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
return " ".join(input_str.split()[::-1] )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 30 | 0 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ,lowercase=None ):
"""simple docstring"""
_UpperCAmelCase = (path or []) + [u]
for v in graph[u]:
if visited_edge[u][v] is False:
_UpperCAmelCase = True, True
_UpperCAmelCase = df... | 355 | """simple docstring"""
import csv
import tweepy
# Twitter API credentials
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
#... | 30 | 0 |
"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple
from tokenizers import processors
from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
... | 356 | """simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
_UpperCAmelCase = {}
_U... | 30 | 0 |
from typing import List
import datasets
from datasets.tasks import AudioClassification
from ..folder_based_builder import folder_based_builder
UpperCAmelCase__ = datasets.utils.logging.get_logger(__name__)
class a ( folder_based_builder.FolderBasedBuilderConfig ):
_snake_case : ... | 357 | """simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimension
from ...utils import logging... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ,lowercase ): # noqa: E741
"""simple docstring"""
while r - l > 1:
_UpperCAmelCase = (l + r) // 2
if v[m] >= key:
... | 358 | """simple docstring"""
import csv
from collections import defaultdict
from dataclasses import dataclass, field
from typing import List, Optional
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import ScalarFormatter
from transformers import HfArgumentParser
def __UpperCAmelCase... | 30 | 0 |
"""simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
UpperCAmelCase__ = logging.getL... | 359 | """simple docstring"""
import os
import pytest
from attr import dataclass
UpperCAmelCase__ = """us-east-1""" # defaults region
@dataclass
class a :
_snake_case : str
_snake_case : Tuple = 'arn:aws:iam::558105141721:role/sagemaker_execution_role'
... | 30 | 0 |
"""simple docstring"""
import flax.linen as nn
import jax
import jax.numpy as jnp
class a ( nn.Module ):
_snake_case : Optional[Any] = 42
_snake_case : Optional[int] = jnp.floataa
def lowerCAmelCase_ ( self : str... | 360 | """simple docstring"""
import string
from math import logaa
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = document.translate(
str.maketrans("""""" ,"""""" ,string.punctuation ) ).replace("""\n""" ,"""""" )
... | 30 | 0 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
if number < 0:
raise ValueError("""number must not be negative""" )
return number & (number - 1) == 0
if __name__ == "__main__":
import doctest
doctest.testmod()
| 361 | """simple docstring"""
import argparse
from torch import nn
# transformers_old should correspond to branch `save_old_prophetnet_model_structure` here
# original prophetnet_checkpoints are saved under `patrickvonplaten/..._old` respectively
from transformers_old.modeling_prophetnet import (
ProphetNetForConditio... | 30 | 0 |
"""simple docstring"""
import argparse
from collections import OrderedDict
from pathlib import Path
import requests
import torch
from PIL import Image
from transformers import GLPNConfig, GLPNForDepthEstimation, GLPNImageProcessor
from transformers.utils import logging
logging.set_verbosity_info()
... | 362 | """simple docstring"""
import mpmath # for roots of unity
import numpy as np
class a :
def __init__( self : Tuple , __lowerCAmelCase : Dict=None , __lowerCAmelCase : Union[str, Any]=None ):
# Input as list
_UpperCAmelCase = list(poly_a or [0] )[:]
_Upp... | 30 | 0 |
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
if TYPE_CHECKING:
from ... import PreTr... | 363 | """simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
UpperCAmelCase__ = logging.get_logger(__name__)
class a ( lowerCAmelCase_ ):
_snake_case : List[str] ... | 30 | 0 |
"""simple docstring"""
from copy import deepcopy
class a :
def __init__( self : Tuple , __lowerCAmelCase : list[int] | None = None , __lowerCAmelCase : int | None = None ):
if arr is None and size is not None:
_UpperCAmelCase = size
_UpperCAmelCase ... | 364 | """simple docstring"""
from itertools import product
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = sides_number
_UpperCAmelCase = max_face_number * dice_number
_UpperCAmelCase = [0] * (max_total + 1)
_UpperCAmelCase = 1
_U... | 30 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
UpperCAmelCase__ = {
"""configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}
try:
if not is_torch_avai... | 365 | """simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
if TYPE_CHECKING:
... | 30 | 0 |
"""simple docstring"""
from sklearn.metrics import recall_score
import datasets
UpperCAmelCase__ = '\nRecall is the fraction of the positive examples that were correctly labeled by the model as positive. It can be computed with the equation:\nRecall = TP / (TP + FN)\nWhere TP is the true positives and F... | 366 | """simple docstring"""
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
UpperCAmelCase__ = argparse.ArgumentParser()
parser.add_argument("""--dump_path""", de... | 30 | 0 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational im... | 367 | """simple docstring"""
import functools
import gc
import inspect
import torch
from .imports import is_npu_available, is_xpu_available
def __UpperCAmelCase ( *lowercase ):
"""simple docstring"""
if not isinstance(lowercase ,lowercase ):
_UpperCAmelCase = list(lowercase... | 30 | 0 |
"""simple docstring"""
import copy
import random
from transformers import CLIPTokenizer
class a ( lowerCAmelCase_ ):
def __init__( self : int , *__lowerCAmelCase : List[str] , **__lowerCAmelCase : List[Any] ):
super().__init__(*_a , **_a )
_Upper... | 368 | """simple docstring"""
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
import random
# Maximum size of the population. Bigger could be faster but is more memory expensive.
UpperCAmelCase__ = 2_0_0
# Number of elements selected in every generation of evolution. The selection takes
# place from best to worst of that g... | 369 | """simple docstring"""
from ....configuration_utils import PretrainedConfig
from ....utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ = {
"""Visual-Attention-Network/van-base""": (
"""https://huggingface.co/Visual-Attention-Network/van-base/blo... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
from random import choice
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
return choice(_lowerCAmelCase )
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring""... | 370 | """simple docstring"""
def __UpperCAmelCase ( lowercase = 10_00 ):
"""simple docstring"""
_UpperCAmelCase = 2**power
_UpperCAmelCase = 0
while n:
_UpperCAmelCase , _UpperCAmelCase = r + n % 10, n // 10
return r
if __name__ == "__main__":
print(solution(int(str(input... | 30 | 0 |
"""simple docstring"""
# this script reports modified .py files under the desired list of top-level sub-dirs passed as a list of arguments, e.g.:
# python ./utils/get_modified_files.py utils src tests examples
#
# it uses git to find the forking point and which files were modified - i.e. files not under git w... | 371 | """simple docstring"""
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.utils.data import DistributedSampler, RandomSampler
from transformers import PreTrainedModel, Trainer, logging
from transformers.integrations import is_fairscale_available
from transformers... | 30 | 0 |
"""simple docstring"""
import os
import textwrap
import pyarrow as pa
import pytest
from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv
from ..utils import require_pil
@pytest.fixture
def __UpperCAmelCase ( lowercase ):
"""simple docstr... | 350 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase__ = {
"""configuration_git""": ["""GIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GitConfig""", """GitVisionConfig"""],
"""processing_git""": ["""... | 30 | 0 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import Tuple
from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments
if is_tf_available():
import tensorflow as tf
UpperCAmelCase__ = logging.ge... | 351 | """simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import (
Bi... | 30 | 0 |
"""simple docstring"""
import numpy as np
import torch
from torch.nn import CrossEntropyLoss
from transformers import AutoModelForCausalLM, AutoTokenizer
import datasets
from datasets import logging
UpperCAmelCase__ = """\
"""
UpperCAmelCase__ = """
Perplexity (PPL) is one of the most commo... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
UpperCAmelCase__ = {
"""configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_M... | 30 | 0 |
"""simple docstring"""
import argparse
import os
import jax as jnp
import numpy as onp
import torch
import torch.nn as nn
from music_spectrogram_diffusion import inference
from tax import checkpoints
from diffusers import DDPMScheduler, OnnxRuntimeModel, SpectrogramDiffusionPipeline
from diffusers.pipelines.spectro... | 353 | """simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 30 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase__ = {'processing_layoutxlm': ['LayoutXLMProce... | 354 | """simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
return " ".join(input_str.split()[::-1] )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 30 | 0 |
"""simple docstring"""
from collections.abc import Callable
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = a
_UpperCAmelCase = b
if function(lowercase ) == 0: # one of the a or b is a root for the function
re... | 355 | """simple docstring"""
import csv
import tweepy
# Twitter API credentials
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
#... | 30 | 0 |
"""simple docstring"""
import os
import unittest
from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class a ( __lowerCAmelCase , unittest.TestCase ):
_snake_case : Tuple ... | 356 | """simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
_UpperCAmelCase = {}
_U... | 30 | 0 |
import argparse
import json
import os
import torch
from torch import nn
from transformers import NllbMoeConfig, NllbMoeModel
from transformers.modeling_utils import dtype_byte_size
from transformers.utils import WEIGHTS_INDEX_NAME, WEIGHTS_NAME
def __UpperCAmelCase ( lowercase ):
"""si... | 357 | """simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimension
from ...utils import logging... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
from math import pi
# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
UpperCAmelCase__ = 1.0_5457_1817E-34 # unit of ℏ : J * s
UpperCAmelCase__ = 3E8 # unit of c : m * s^-1
... | 358 | """simple docstring"""
import csv
from collections import defaultdict
from dataclasses import dataclass, field
from typing import List, Optional
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import ScalarFormatter
from transformers import HfArgumentParser
def __UpperCAmelCase... | 30 | 0 |
"""simple docstring"""
from math import atan, cos, radians, sin, tan
from .haversine_distance import haversine_distance
UpperCAmelCase__ = 6_3_7_8_1_3_7.0
UpperCAmelCase__ = 6_3_5_6_7_5_2.3_1_4_2_4_5
UpperCAmelCase__ = 6_3_7_8_1_3_7
def __UpperCAmelCase ( lowercase... | 359 | """simple docstring"""
import os
import pytest
from attr import dataclass
UpperCAmelCase__ = """us-east-1""" # defaults region
@dataclass
class a :
_snake_case : str
_snake_case : Tuple = 'arn:aws:iam::558105141721:role/sagemaker_execution_role'
... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
from collections import namedtuple
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = namedtuple("""result""" ,"""name value""" )
if (voltage, current, power).... | 360 | """simple docstring"""
import string
from math import logaa
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = document.translate(
str.maketrans("""""" ,"""""" ,string.punctuation ) ).replace("""\n""" ,"""""" )
... | 30 | 0 |
"""simple docstring"""
from typing import List, Optional, Union
import numpy as np
import tensorflow as tf
from .utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
if isinstance(__lowerCAmelCa... | 361 | """simple docstring"""
import argparse
from torch import nn
# transformers_old should correspond to branch `save_old_prophetnet_model_structure` here
# original prophetnet_checkpoints are saved under `patrickvonplaten/..._old` respectively
from transformers_old.modeling_prophetnet import (
ProphetNetForConditio... | 30 | 0 |
"""simple docstring"""
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
UpperCAmelCase__ = '<<<<<<< This should probably be modified because it mentions: '
Up... | 362 | """simple docstring"""
import mpmath # for roots of unity
import numpy as np
class a :
def __init__( self : Tuple , __lowerCAmelCase : Dict=None , __lowerCAmelCase : Union[str, Any]=None ):
# Input as list
_UpperCAmelCase = list(poly_a or [0] )[:]
_Upp... | 30 | 0 |
from collections import defaultdict
from typing import Optional
from ..image_utils import load_image
from ..utils import (
add_end_docstrings,
is_torch_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, ChunkPipeline
if is_torch_available():
import torch
from ..mo... | 363 | """simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
UpperCAmelCase__ = logging.get_logger(__name__)
class a ( lowerCAmelCase_ ):
_snake_case : List[str] ... | 30 | 0 |
"""simple docstring"""
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class a ( __snake_case ):
_snake_case : int = ["image_processor", "tokenizer"]
_snake_case : int = "AutoImageProc... | 364 | """simple docstring"""
from itertools import product
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = sides_number
_UpperCAmelCase = max_face_number * dice_number
_UpperCAmelCase = [0] * (max_total + 1)
_UpperCAmelCase = 1
_U... | 30 | 0 |
import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List
import git
import torch
from torch.utils.data import Dataset
from transfo... | 365 | """simple docstring"""
import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
if TYPE_CHECKING:
... | 30 | 0 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
UpperCAmelCase__ = {
"""albert-base-v1""": """https://huggingface.co/albert-base-v1/resolve/main/config.json""",
"""albert-larg... | 366 | """simple docstring"""
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
UpperCAmelCase__ = argparse.ArgumentParser()
parser.add_argument("""--dump_path""", de... | 30 | 0 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
if not len(lowercase ) == len(lowercase ) == 3:
raise ValueError("""Please enter a valid equation.""" )
if equationa[0] == equationa[1] == equationa[0] == equationa[1] ==... | 367 | """simple docstring"""
import functools
import gc
import inspect
import torch
from .imports import is_npu_available, is_xpu_available
def __UpperCAmelCase ( *lowercase ):
"""simple docstring"""
if not isinstance(lowercase ,lowercase ):
_UpperCAmelCase = list(lowercase... | 30 | 0 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ = {
# See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}
class a ( lowerCAmelCase... | 368 | """simple docstring"""
from __future__ import annotations
import unittest
from transformers import MobileBertConfig, is_tf_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf... | 30 | 0 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = len(_lowerCamelCase )
_UpperCAmelCase = len(_lowerCamelCase )
_UpperCAmelCase = [[False for _ in range(m + 1 )] for _ in range(n + 1 )]
_UpperCA... | 369 | """simple docstring"""
from ....configuration_utils import PretrainedConfig
from ....utils import logging
UpperCAmelCase__ = logging.get_logger(__name__)
UpperCAmelCase__ = {
"""Visual-Attention-Network/van-base""": (
"""https://huggingface.co/Visual-Attention-Network/van-base/blo... | 30 | 0 |
"""simple docstring"""
from collections import deque
from .hash_table import HashTable
class a ( lowerCAmelCase_ ):
def __init__( self : Union[str, Any] , *__lowerCAmelCase : List[str] , **__lowerCAmelCase : Dict ):
super().__init__(*_SCREAMING_SNAKE_CASE ,... | 370 | """simple docstring"""
def __UpperCAmelCase ( lowercase = 10_00 ):
"""simple docstring"""
_UpperCAmelCase = 2**power
_UpperCAmelCase = 0
while n:
_UpperCAmelCase , _UpperCAmelCase = r + n % 10, n // 10
return r
if __name__ == "__main__":
print(solution(int(str(input... | 30 | 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
if is... | 371 | """simple docstring"""
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.utils.data import DistributedSampler, RandomSampler
from transformers import PreTrainedModel, Trainer, logging
from transformers.integrations import is_fairscale_available
from transformers... | 30 | 0 |
"""simple docstring"""
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
if digit_amount > 0:
return round(number - int(_SCREAMING_SNAKE_CASE ) ,_SCREAMING_SNAKE_CASE )
return number - int(_SCREAMING_SNAKE_CASE )
if __name__ == "__main_... | 350 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase__ = {
"""configuration_git""": ["""GIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GitConfig""", """GitVisionConfig"""],
"""processing_git""": ["""... | 30 | 0 |
"""simple docstring"""
import io
import math
from typing import Dict, Optional, Union
import numpy as np
from huggingface_hub import hf_hub_download
from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import convert_to_rgb, normalize, to_channel_dimension_format, to_pil_i... | 351 | """simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import (
Bi... | 30 | 0 |
"""simple docstring"""
import argparse
import torch
from transformers import LxmertConfig, LxmertForPreTraining, load_tf_weights_in_lxmert
from transformers.utils import logging
logging.set_verbosity_info()
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase ):
"""simple d... | 352 | """simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_speech_available,
is_torch_available,
)
UpperCAmelCase__ = {
"""configuration_trocr""": ["""TROCR_PRETRAINED_CONFIG_ARCHIVE_M... | 30 | 0 |
"""simple docstring"""
import math
def __UpperCAmelCase ( lowercase ,lowercase = 0 ,lowercase = 0 ):
"""simple docstring"""
_UpperCAmelCase = end or len(_lowerCAmelCase )
for i in range(_lowerCAmelCase ,_lowerCAmelCase ):
_UpperCAmelCase = i
_UpperCAm... | 353 | """simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... | 30 | 0 |
"""simple docstring"""
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
UpperCAmelCase__ = False
class a ( unittest.TestCase ):
p... | 354 | """simple docstring"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
return " ".join(input_str.split()[::-1] )
if __name__ == "__main__":
import doctest
doctest.testmod()
| 30 | 0 |
"""simple docstring"""
import unittest
from transformers import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING, is_vision_available
from transformers.pipelines import pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
require_tf,
require_torch,
require_vision,
s... | 355 | """simple docstring"""
import csv
import tweepy
# Twitter API credentials
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
UpperCAmelCase__ = """"""
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
#... | 30 | 0 |
"""simple docstring"""
from __future__ import annotations
from random import random
class a :
def __init__( self : Dict , __lowerCAmelCase : int = None ):
_UpperCAmelCase = value
_UpperCAmelCase = random()
_UpperCAmelCase = None
_UpperCAmelCase = None
... | 356 | """simple docstring"""
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def __UpperCAmelCase ( lowercase ):
"""simple docstring"""
_UpperCAmelCase = {}
_U... | 30 | 0 |
import argparse
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import BigBirdPegasusConfig, BigBirdPegasusForConditionalGeneration
UpperCAmelCase__ = [
# tf -> hf
('''/''', '''.'''),
('''layer_''', '''layers.'''),
('''kernel''', '''wei... | 357 | """simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...onnx.utils import compute_effective_axis_dimension
from ...utils import logging... | 30 | 0 |
"""simple docstring"""
import logging
import os
from dataclasses import dataclass
from typing import List, Optional, Union
import tqdm
from filelock import FileLock
from transformers import (
BartTokenizer,
BartTokenizerFast,
DataProcessor,
PreTrainedTokenizer,
RobertaTokenizer,
... | 358 | """simple docstring"""
import csv
from collections import defaultdict
from dataclasses import dataclass, field
from typing import List, Optional
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import ScalarFormatter
from transformers import HfArgumentParser
def __UpperCAmelCase... | 30 | 0 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
UpperCAmelCase__ = {
"configuration_canine": ["CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP", "CanineConfig"],
"tokenization_canine": ["Ca... | 359 | """simple docstring"""
import os
import pytest
from attr import dataclass
UpperCAmelCase__ = """us-east-1""" # defaults region
@dataclass
class a :
_snake_case : str
_snake_case : Tuple = 'arn:aws:iam::558105141721:role/sagemaker_execution_role'
... | 30 | 0 |
"""simple docstring"""
import math
import flax.linen as nn
import jax.numpy as jnp
def __UpperCAmelCase ( lowercase ,lowercase ,lowercase = 1 ,lowercase = 1 ,lowercase = 1.0E4 ,lowercase = False ,lowercase = 1.0 ,):
"""simple docstring"""
assert timesteps.ndim == 1, ... | 360 | """simple docstring"""
import string
from math import logaa
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = document.translate(
str.maketrans("""""" ,"""""" ,string.punctuation ) ).replace("""\n""" ,"""""" )
... | 30 | 0 |
"""simple docstring"""
import math
import unittest
from transformers import BioGptConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling... | 361 | """simple docstring"""
import argparse
from torch import nn
# transformers_old should correspond to branch `save_old_prophetnet_model_structure` here
# original prophetnet_checkpoints are saved under `patrickvonplaten/..._old` respectively
from transformers_old.modeling_prophetnet import (
ProphetNetForConditio... | 30 | 0 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor
UpperCAmelCase__ = logging.get_logger(__name__)
class a ( a__ ):
def __init__( self : List[str] , *__lowerCAmelC... | 362 | """simple docstring"""
import mpmath # for roots of unity
import numpy as np
class a :
def __init__( self : Tuple , __lowerCAmelCase : Dict=None , __lowerCAmelCase : Union[str, Any]=None ):
# Input as list
_UpperCAmelCase = list(poly_a or [0] )[:]
_Upp... | 30 | 0 |
import gc
import unittest
import numpy as np
import torch
from diffusers import (
AudioDiffusionPipeline,
AutoencoderKL,
DDIMScheduler,
DDPMScheduler,
DiffusionPipeline,
Mel,
UNetaDConditionModel,
UNetaDModel,
)
from diffusers.utils import slow, torch_device
from diffusers.utils.testin... | 363 | """simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
UpperCAmelCase__ = logging.get_logger(__name__)
class a ( lowerCAmelCase_ ):
_snake_case : List[str] ... | 30 | 0 |
"""simple docstring"""
import random
import unittest
import torch
from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device
from ..pipeline_params import (
... | 364 | """simple docstring"""
from itertools import product
def __UpperCAmelCase ( lowercase ,lowercase ):
"""simple docstring"""
_UpperCAmelCase = sides_number
_UpperCAmelCase = max_face_number * dice_number
_UpperCAmelCase = [0] * (max_total + 1)
_UpperCAmelCase = 1
_U... | 30 | 0 |
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