code stringlengths 81 54k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
import numpy
class _snake_case :
def __init__( self : Union[str, Any], __lowercase : Dict, __lowercase : int ):
lowercase__ = input_array
# Random initial weights are assigned where first argument is the
# number of nodes in p... | 713 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowercase_ = """<<<<<<< This should probably be modified because it mentions: """
lowercase_ = """=======
>>>>... | 37 | 0 |
import datasets
from .evaluate import evaluate
lowercase_ = """\
@article{hendrycks2021cuad,
title={CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review},
author={Dan Hendrycks and Collin Burns and Anya Chen and Spencer Ball},
journal={arXiv preprint arXiv:2103.06268},
... | 714 |
import json
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .toke... | 37 | 0 |
from functools import lru_cache
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 2
lowercase__ = set()
while i * i <= n:
if n % i:
i += 1
else:
n //= i
factors.add(_UpperCamelCase )
if n > 1:
factors.add(_UpperCamelCase... | 715 |
# 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 required by appli... | 37 | 0 |
import inspect
import unittest
from transformers import SegformerConfig, is_torch_available, is_vision_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_comm... | 716 |
import unittest
import numpy as np
from transformers.testing_utils import is_flaky, 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_torch_available():
... | 37 | 0 |
from __future__ import annotations
from typing import Dict
from ...configuration_utils import PretrainedConfig
lowercase_ = {
"susnato/ernie-m-base_pytorch": "https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json",
"susnato/ernie-m-large_pytorch": "https://huggingface.co/... | 717 |
import re
from pathlib import Path
from unittest import TestCase
import pytest
@pytest.mark.integration
class _snake_case ( lowercase__):
def A__ ( self : Optional[Any], __lowercase : str ):
with open(__lowercase, encoding="utf-8" ) as ... | 37 | 0 |
import inspect
import unittest
from transformers import YolosConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_common import ConfigTester
from ...test_mo... | 718 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37 | 0 |
import numpy as np
import torch
from imwatermark import WatermarkEncoder
# Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L66
lowercase_ = 0B101100111110110010010000011110111011000110011110
# bin(x)[2:] gives... | 719 |
import unittest
import numpy as np
import requests
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_torch_available()... | 37 | 0 |
'''simple docstring'''
from __future__ import annotations
import pandas as pd
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = [0] * no_of_processes
lowercase__ = [0] * no_of_processes
# Copy the burst ... | 720 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ , lowercase__ = len(SCREAMING_SNAKE_CASE_ ), len(grid[0] )
if (
min(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ) < 0
... | 37 | 0 |
import inspect
import unittest
from transformers import RegNetConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...t... | 721 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
for ch in input_str:
lowercase__ = ord(SCREAMING_SNAKE_CASE_ )
lowercase__ = pow(2 , SCREAMING_SNAKE_CASE_ )
# If we already turned on bit for current character's unicode
if bitmap ... | 37 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_sentencepiece_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {}
try:
if not is_sentencepiece_available():
... | 700 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = len(SCREAMING_SNAKE_CASE_ )
for i in range(SCREAMING_SNAKE_CASE_ ):
for j in range(i + 1 , SCREAMING_SNAKE_CASE_ ):
if numbers[j] < numbers[i]:
lowercase__ , lowercase__ = numbers[j]... | 37 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json""",
# See all GPTNeoX model... | 701 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
if upper_limit < 0:
raise ValueError("Limit for the Catalan sequence must be ≥ 0" )
lowercase__ = [0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
lowercase__ = 1
if upper_limit > 0:
lowercase__ = 1
... | 37 | 0 |
import asyncio
import os
import re
import sys
import tempfile
import unittest
from contextlib import contextmanager
from copy import deepcopy
from distutils.util import strtobool
from enum import Enum
from importlib.util import find_spec
from pathlib import Path
from unittest.mock import patch
import pyarrow as pa... | 702 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MA... | 37 | 0 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase_ = {
"""configuration_clipseg""": [
"""CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP""",
"""CLIPSegConfig""",
"""CLIPSegTextConfig""",
"""CLIPSegV... | 703 |
import argparse
import os
import numpy as np
import tensorflow as tf
import torch
from transformers import BertModel
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = ("dense.weight", "attention.self.query", "attention.sel... | 37 | 0 |
import argparse
from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
from transformers.utils import logging
logging.set_verbosity_info()
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
# Initialise PyTorch model
... | 704 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase_ = {
"""configuration_timesformer""": ["""TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TimesformerConfig"""],
}
try:
if not is_torch_available():
... | 37 | 0 |
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
from accelerate.t... | 705 |
import argparse
import os
from . import (
ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
BART_PRETRAINED_MODEL_ARCHIVE_LIST,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP,
DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
DPR_CONTEXT_ENCO... | 37 | 0 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ , lowercase__ = len(SCREAMING_SNAKE_CASE_ ), len(grid[0] )
if (
min(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ) < 0
... | 706 |
import math
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * math.logaa(SCREAMING_SNAKE_CASE_ )
else:
if x == 0: # 0 raised to any number is 0
return 0... | 37 | 0 |
def __lowerCAmelCase ( ):
return [
a * b * (1000 - a - b)
for a in range(1 , 999 )
for b in range(SCREAMING_SNAKE_CASE_ , 999 )
if (a * a + b * b == (1000 - a - b) ** 2)
][0]
if __name__ == "__main__":
print(F'{solution() = }')
| 707 |
import pickle
import numpy as np
from matplotlib import pyplot as plt
class _snake_case :
def __init__( self : Tuple, __lowercase : Union[str, Any], __lowercase : int, __lowercase : Union[str, Any], __lowercase : str, __lowercase ... | 37 | 0 |
import copy
import os
from typing import TYPE_CHECKING, List, Union
if TYPE_CHECKING:
pass
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""kakaobrain/align-base""": """https://huggingf... | 708 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import BitConfig, ... | 37 | 0 |
import gc
import unittest
import numpy as np
import torch
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNetaDModel
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, skip_mps
from ..pipeline_params import UNCONDITI... | 709 |
import json
from typing import Iterator, List, Union
from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing
cl... | 37 | 0 |
from __future__ import annotations
from collections.abc import Callable
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ = 100 , ):
lowercase__ = x_start
lowercase__ = fnc(SCREAMING_SNAKE_CASE... | 710 |
# Usage:
# ./gen-card-facebook-wmt19.py
import os
from pathlib import Path
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = {
"en": "Machine learning is great, isn't it?",
"ru": "Машинное обучение - это здоро... | 37 | 0 |
import math
def __SCREAMING_SNAKE_CASE ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * math.logaa(SCREAMING_SNAKE_CASE_ )
else:
if x == 0: # 0 raised to any number is 0
re... | 711 |
import os
import unittest
from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class _snake_case ( lowercase__ , unittest.TestCase):
UpperCamelCase__ : Dict =TransfoXLToke... | 37 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""tanreinama/GPTSAN-2.8B-spout_is_uniform""": (
"""https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json""... | 712 |
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def __lowerCAmelCase ( ):
lowercase__ = HfArgumentParser(SCREAMING_SNAKE_CASE_ )
lowercase__ = parser.parse_args_into_dataclasses()[0]
lowercase__ = TensorFlowBenchmark(args=SCREA... | 37 | 0 |
from __future__ import annotations
import numpy as np
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
return np.maximum(0 , SCREAMING_SNAKE_CASE_ )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0, 5]
| 713 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowercase_ = """<<<<<<< This should probably be modified because it mentions: """
lowercase_ = """=======
>>>>... | 37 | 0 |
import argparse
import numpy as np
import torch
from transformers import SpeechTaHifiGan, SpeechTaHifiGanConfig, logging
logging.set_verbosity_info()
lowercase_ = logging.get_logger("""transformers.models.speecht5""")
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ... | 714 |
import json
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .toke... | 37 | 0 |
from __future__ import annotations
import queue
class _snake_case :
def __init__( self : Optional[Any], __lowercase : Union[str, Any] ):
lowercase__ = data
lowercase__ = None
lowercase__ = None
def __lowerCAmelCase ( ... | 715 |
# 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 required by appli... | 37 | 0 |
import re
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = re.compile(
r"^(?:0|94|\+94|0{2}94)" r"7(0|1|2|4|5|6|7|8)" r"(-| |)" r"\d{7}$" )
return bool(re.search(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ) )
if __name__ == "__main__":
lowercase_ ... | 716 |
import unittest
import numpy as np
from transformers.testing_utils import is_flaky, 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_torch_available():
... | 37 | 0 |
from math import asin, atan, cos, radians, sin, sqrt, tan
lowercase_ = 6378137.0
lowercase_ = 6356752.314245
lowercase_ = 637_8137
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
l... | 717 |
import re
from pathlib import Path
from unittest import TestCase
import pytest
@pytest.mark.integration
class _snake_case ( lowercase__):
def A__ ( self : Optional[Any], __lowercase : str ):
with open(__lowercase, encoding="utf-8" ) as ... | 37 | 0 |
import gc
import unittest
import numpy as np
import torch
from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, DPMSolverMultistepScheduler, TransformeraDModel
from diffusers.utils import is_xformers_available, load_numpy, slow, torch_device
from diffusers.utils.testing_utils import enable_full_determi... | 718 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37 | 0 |
from __future__ import annotations
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = len(SCREAMING_SNAKE_CASE_ ) // 2
# choose the middle 3 elements
lowercase__ = lst[m - 1 : m + 2]
# if middle element is peak
if three[1] > three[0] and three[1] > three[2]:
... | 719 |
import unittest
import numpy as np
import requests
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_torch_available()... | 37 | 0 |
'''simple docstring'''
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
if a < 0 or b < 0:
raise ValueError("the value of both inputs must be positive" )
lowercase__ = str(bin(SCREAMING_SNAKE_CASE_ ) )[2:] # remove the leading "0b"
lowercase__ ... | 720 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ , lowercase__ = len(SCREAMING_SNAKE_CASE_ ), len(grid[0] )
if (
min(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ) < 0
... | 37 | 0 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""junnyu/roformer_chinese_small""": """https://huggin... | 721 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
for ch in input_str:
lowercase__ = ord(SCREAMING_SNAKE_CASE_ )
lowercase__ = pow(2 , SCREAMING_SNAKE_CASE_ )
# If we already turned on bit for current character's unicode
if bitmap ... | 37 | 0 |
'''simple docstring'''
import inspect
import unittest
import warnings
from math import ceil, floor
from transformers import LevitConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.models.auto import get_values
from transformers.testing_utils i... | 700 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = len(SCREAMING_SNAKE_CASE_ )
for i in range(SCREAMING_SNAKE_CASE_ ):
for j in range(i + 1 , SCREAMING_SNAKE_CASE_ ):
if numbers[j] < numbers[i]:
lowercase__ , lowercase__ = numbers[j]... | 37 | 0 |
import json
import logging
import os
import sys
from pathlib import Path
import finetune_rag
from transformers.file_utils import is_apex_available
from transformers.testing_utils import (
TestCasePlus,
execute_subprocess_async,
require_ray,
require_torch_gpu,
require_torch_mu... | 701 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
if upper_limit < 0:
raise ValueError("Limit for the Catalan sequence must be ≥ 0" )
lowercase__ = [0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
lowercase__ = 1
if upper_limit > 0:
lowercase__ = 1
... | 37 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {}
class _snake_case ( lowercase__):
UpperCamelCase__ : Optional[int] ="""llama"""
UpperCamelCase__ : str =["""... | 702 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MA... | 37 | 0 |
import unittest
from transformers import MPNetConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipeline_mixi... | 703 |
import argparse
import os
import numpy as np
import tensorflow as tf
import torch
from transformers import BertModel
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = ("dense.weight", "attention.self.query", "attention.sel... | 37 | 0 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging
logging.set_verbosity_info()
lowerca... | 704 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase_ = {
"""configuration_timesformer""": ["""TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TimesformerConfig"""],
}
try:
if not is_torch_available():
... | 37 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""naver-clova-ix/donut-base""": """https://huggingface.co/naver-clova-ix/donut-base/resolve/main/config.json""",
# See all Donut models at https... | 705 |
import argparse
import os
from . import (
ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
BART_PRETRAINED_MODEL_ARCHIVE_LIST,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP,
DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
DPR_CONTEXT_ENCO... | 37 | 0 |
import sys
import webbrowser
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
print("""Googling.....""")
lowercase_ = """https://www.google.com/search?q=""" + """ """.join(sys.argv[1:])
lowercase_ = requests.ge... | 706 |
import math
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * math.logaa(SCREAMING_SNAKE_CASE_ )
else:
if x == 0: # 0 raised to any number is 0
return 0... | 37 | 0 |
import gc
import importlib.metadata
import tempfile
import unittest
from packaging import version
from transformers import (
AutoModel,
AutoModelForCausalLM,
AutoModelForSeqaSeqLM,
AutoModelForSequenceClassification,
AutoTokenizer,
BitsAndBytesConfig,
pipeline,
)
from transformers.test... | 707 |
import pickle
import numpy as np
from matplotlib import pyplot as plt
class _snake_case :
def __init__( self : Tuple, __lowercase : Union[str, Any], __lowercase : int, __lowercase : Union[str, Any], __lowercase : str, __lowercase ... | 37 | 0 |
import unittest
import numpy as np
from transformers import RobertaPreLayerNormConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available():
impor... | 708 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import BitConfig, ... | 37 | 0 |
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def __lowerCAmelCase ( ):
lowercase__ = HfArgumentParser(SCREAMING_SNAKE_CASE_ )
lowercase__ = parser.parse_args_into_dataclasses()[0]
lowercase__ = TensorFlowBenchmark(args=SCREA... | 709 |
import json
from typing import Iterator, List, Union
from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing
cl... | 37 | 0 |
import gc
import unittest
import torch
from parameterized import parameterized
from diffusers import AutoencoderKL
from diffusers.utils import floats_tensor, load_hf_numpy, require_torch_gpu, slow, torch_all_close, torch_device
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.te... | 710 |
# Usage:
# ./gen-card-facebook-wmt19.py
import os
from pathlib import Path
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = {
"en": "Machine learning is great, isn't it?",
"ru": "Машинное обучение - это здоро... | 37 | 0 |
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from torchvision import transforms
from transformers import BitImageProcessor, FocalNetConfig, FocalNetForImageClassification
from transformers.image_utils import IMAGENET_DEFAULT_MEAN, IMAGE... | 711 |
import os
import unittest
from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class _snake_case ( lowercase__ , unittest.TestCase):
UpperCamelCase__ : Dict =TransfoXLToke... | 37 | 0 |
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
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""google/mobilenet_v1_... | 712 |
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def __lowerCAmelCase ( ):
lowercase__ = HfArgumentParser(SCREAMING_SNAKE_CASE_ )
lowercase__ = parser.parse_args_into_dataclasses()[0]
lowercase__ = TensorFlowBenchmark(args=SCREA... | 37 | 0 |
import json
import os
from collections import Counter
import torch
import torchvision
import torchvision.transforms as transforms
from PIL import Image
from torch import nn
from torch.utils.data import Dataset
lowercase_ = {1: (1, 1), 2: (2, 1), 3: (3, 1), 4: (2, 2), 5: (5, 1), 6: (3, 2), 7: (7, 1), 8... | 713 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowercase_ = """<<<<<<< This should probably be modified because it mentions: """
lowercase_ = """=======
>>>>... | 37 | 0 |
from ..utils import DummyObject, requires_backends
class _snake_case ( metaclass=lowercase__):
UpperCamelCase__ : Union[str, Any] =["""transformers""", """torch""", """note_seq"""]
def __init__( self : List[str], *__lowercase : List[Any], **__lowerca... | 714 |
import json
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .toke... | 37 | 0 |
def __lowerCAmelCase ( ):
lowercase__ = []
lowercase__ = 1
while len(SCREAMING_SNAKE_CASE_ ) < 1e6:
constant.append(str(SCREAMING_SNAKE_CASE_ ) )
i += 1
lowercase__ = "".join(SCREAMING_SNAKE_CASE_ )
return (
int(constant[0] )
* int(cons... | 715 |
# 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 required by appli... | 37 | 0 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
while len(SCREAMING_SNAKE_CASE_ ) > 1:
lowercase__ = 0
# Consider two files with minimum cost to be merged
for _ in range(2 ):
lowercase__ = files.index(min(SCREAMING_SNAKE_CASE_ ) )
... | 716 |
import unittest
import numpy as np
from transformers.testing_utils import is_flaky, 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_torch_available():
... | 37 | 0 |
import unittest
import numpy as np
from transformers.file_utils import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torch_available():
i... | 717 |
import re
from pathlib import Path
from unittest import TestCase
import pytest
@pytest.mark.integration
class _snake_case ( lowercase__):
def A__ ( self : Optional[Any], __lowercase : str ):
with open(__lowercase, encoding="utf-8" ) as ... | 37 | 0 |
import unittest
from transformers import XLMConfig, 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_common import ModelTesterMixin, ids... | 718 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37 | 0 |
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {"""vocab_file""": """vo... | 719 |
import unittest
import numpy as np
import requests
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_torch_available()... | 37 | 0 |
'''simple docstring'''
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
for ch in input_str:
lowercase__ = ord(SCREAMING_SNAKE_CASE_ )
lowercase__ = pow(2 , SCREAMING_SNAKE_CASE_ )
# If we already turned on bit for current characte... | 720 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ , lowercase__ = len(SCREAMING_SNAKE_CASE_ ), len(grid[0] )
if (
min(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ) < 0
... | 37 | 0 |
import tempfile
import torch
from diffusers import PNDMScheduler
from .test_schedulers import SchedulerCommonTest
class _snake_case ( lowercase__):
UpperCamelCase__ : List[Any] =(PNDMScheduler,)
UpperCamelCase__ : List[str] =(("""num_inference_steps""", 5_0),)
... | 721 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
for ch in input_str:
lowercase__ = ord(SCREAMING_SNAKE_CASE_ )
lowercase__ = pow(2 , SCREAMING_SNAKE_CASE_ )
# If we already turned on bit for current character's unicode
if bitmap ... | 37 | 0 |
'''simple docstring'''
import functools
import operator
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""microsoft/unispeech-sat-base-100h-libri-ft""": (
"""https://huggingface.co/m... | 700 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = len(SCREAMING_SNAKE_CASE_ )
for i in range(SCREAMING_SNAKE_CASE_ ):
for j in range(i + 1 , SCREAMING_SNAKE_CASE_ ):
if numbers[j] < numbers[i]:
lowercase__ , lowercase__ = numbers[j]... | 37 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
class _snake_case ( lowercase__):
UpperCamelCase__ : Any ="""timm_backbone"""
def __init__( self : Any, __lowerc... | 701 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
if upper_limit < 0:
raise ValueError("Limit for the Catalan sequence must be ≥ 0" )
lowercase__ = [0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
lowercase__ = 1
if upper_limit > 0:
lowercase__ = 1
... | 37 | 0 |
from __future__ import annotations
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = []
lowercase__ = []
lowercase__ = 0
lowercase__ = sum(SCREAMING_SNAKE_CASE_ )
create_state_space_tree(SCREAMING_SNAKE_CASE_ ... | 702 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MA... | 37 | 0 |
from math import sqrt
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ = 100_0000 ):
lowercase__ = 0
lowercase__ = 0
lowercase__ = 42
while num_cuboids <= limit:
max_cuboid_size += 1
for sum_shortest_sides in range(2 , 2 * max_cuboid_size + 1 ):
... | 703 |
import argparse
import os
import numpy as np
import tensorflow as tf
import torch
from transformers import BertModel
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = ("dense.weight", "attention.self.query", "attention.sel... | 37 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""tiiuae/falcon-40b""": """https://huggingface.co/tiiuae/falcon-40b/resolve/main/config.json""",
"""tiiuae/falcon-7b""": """https://huggingface.co... | 704 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase_ = {
"""configuration_timesformer""": ["""TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TimesformerConfig"""],
}
try:
if not is_torch_available():
... | 37 | 0 |
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_gpta import GPTaTokenizer
if TYPE_CHECKING... | 705 |
import argparse
import os
from . import (
ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
BART_PRETRAINED_MODEL_ARCHIVE_LIST,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP,
DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
DPR_CONTEXT_ENCO... | 37 | 0 |
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer
lowercase_ = {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}
lower... | 706 |
import math
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * math.logaa(SCREAMING_SNAKE_CASE_ )
else:
if x == 0: # 0 raised to any number is 0
return 0... | 37 | 0 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ = 100_0000 ):
lowercase__ = limit + 1
lowercase__ = [0] * limit
for first_term in range(1 , SCREAMING_SNAKE_CASE_ ):
for n in range(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
... | 707 |
import pickle
import numpy as np
from matplotlib import pyplot as plt
class _snake_case :
def __init__( self : Tuple, __lowercase : Union[str, Any], __lowercase : int, __lowercase : Union[str, Any], __lowercase : str, __lowercase ... | 37 | 0 |
from ..utils import DummyObject, requires_backends
class _snake_case ( metaclass=lowercase__):
UpperCamelCase__ : Union[str, Any] =["""speech"""]
def __init__( self : List[Any], *__lowercase : Optional[Any], **__lowercase : str ):
... | 708 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import BitConfig, ... | 37 | 0 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import LayoutLMConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, rand... | 709 |
import json
from typing import Iterator, List, Union
from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing
cl... | 37 | 0 |
from math import ceil
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ = 1001 ):
lowercase__ = 1
for i in range(1 , int(ceil(n / 2.0 ) ) ):
lowercase__ = 2 * i + 1
lowercase__ = 2 * i
lowercase__ = total + 4 * odd**2 - 6 * even
return tot... | 710 |
# Usage:
# ./gen-card-facebook-wmt19.py
import os
from pathlib import Path
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = {
"en": "Machine learning is great, isn't it?",
"ru": "Машинное обучение - это здоро... | 37 | 0 |
import pickle
import numpy as np
from matplotlib import pyplot as plt
class _snake_case :
def __init__( self : Tuple, __lowercase : Union[str, Any], __lowercase : int, __lowercase : Union[str, Any], __lowercase : str, __lowercase ... | 711 |
import os
import unittest
from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class _snake_case ( lowercase__ , unittest.TestCase):
UpperCamelCase__ : Dict =TransfoXLToke... | 37 | 0 |
import argparse
import json
import os
from collections import OrderedDict
import torch
from transformers import LukeConfig, LukeForMaskedLM, MLukeTokenizer, XLMRobertaTokenizer
from transformers.tokenization_utils_base import AddedToken
@torch.no_grad()
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , ... | 712 |
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def __lowerCAmelCase ( ):
lowercase__ = HfArgumentParser(SCREAMING_SNAKE_CASE_ )
lowercase__ = parser.parse_args_into_dataclasses()[0]
lowercase__ = TensorFlowBenchmark(args=SCREA... | 37 | 0 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/config.json""",
# See all XGLM models at https://huggingface.... | 713 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowercase_ = """<<<<<<< This should probably be modified because it mentions: """
lowercase_ = """=======
>>>>... | 37 | 0 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = [0] * len(SCREAMING_SNAKE_CASE_ )
for i in range(1 , len(SCREAMING_SNAKE_CASE_ ) ):
# use last results for better performance - dynamic programming
lowercase__ = prefix_result[i - 1]
while j > 0 an... | 714 |
import json
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .toke... | 37 | 0 |
import numpy as np
import torch
from torch.utils.data import Dataset
from utils import logger
class _snake_case ( lowercase__):
def __init__( self : List[str], __lowercase : Union[str, Any], __lowercase : Dict ):
lowercase__ = params
... | 715 |
# 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 required by appli... | 37 | 0 |
import json
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .toke... | 716 |
import unittest
import numpy as np
from transformers.testing_utils import is_flaky, 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_torch_available():
... | 37 | 0 |
from __future__ import annotations
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
lowercase__ = len(SCREAMING_SNAKE_CASE_ ) - 1
while i < j:
if nums[i] + nums[j] == target:
return [i, j]
elif nums[i] + nums[j] ... | 717 |
import re
from pathlib import Path
from unittest import TestCase
import pytest
@pytest.mark.integration
class _snake_case ( lowercase__):
def A__ ( self : Optional[Any], __lowercase : str ):
with open(__lowercase, encoding="utf-8" ) as ... | 37 | 0 |
from typing import List, Optional, Tuple, Union
import torch
from ...models import UNetaDModel
from ...schedulers import KarrasVeScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput
class _snake_case ( lowercase__):
UpperCamelCase__ : ... | 718 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37 | 0 |
import json
import os
import unittest
from typing import Tuple
from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from ... | 719 |
import unittest
import numpy as np
import requests
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_torch_available()... | 37 | 0 |
'''simple docstring'''
import re
from filelock import FileLock
try:
import nltk
lowercase_ = True
except (ImportError, ModuleNotFoundError):
lowercase_ = False
if NLTK_AVAILABLE:
with FileLock(""".lock""") as lock:
nltk.download("""punkt""", ... | 720 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ , lowercase__ = len(SCREAMING_SNAKE_CASE_ ), len(grid[0] )
if (
min(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ) < 0
... | 37 | 0 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ : str ):
return sum(i for i in range(1 , number // 2 + 1 ) if number % i == 0 ) == number
if __name__ == "__main__":
print("""Program to check whether a number is a Perfect number or not...""")
lowercase_ = int(input("""En... | 721 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
for ch in input_str:
lowercase__ = ord(SCREAMING_SNAKE_CASE_ )
lowercase__ = pow(2 , SCREAMING_SNAKE_CASE_ )
# If we already turned on bit for current character's unicode
if bitmap ... | 37 | 0 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import DetrConfig, DetrForObjectDetection, DetrForSegmentation, DetrImageProcessor, ResNetConfig
from transformers.utils... | 700 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = len(SCREAMING_SNAKE_CASE_ )
for i in range(SCREAMING_SNAKE_CASE_ ):
for j in range(i + 1 , SCREAMING_SNAKE_CASE_ ):
if numbers[j] < numbers[i]:
lowercase__ , lowercase__ = numbers[j]... | 37 | 0 |
from statistics import mean, stdev
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ = 3 ):
lowercase__ = min(SCREAMING_SNAKE_CASE_ )
lowercase__ = max(SCREAMING_SNAKE_CASE_ )
# normalize data
return [round((x - x_min) / (x_max - x_min) ... | 701 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
if upper_limit < 0:
raise ValueError("Limit for the Catalan sequence must be ≥ 0" )
lowercase__ = [0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
lowercase__ = 1
if upper_limit > 0:
lowercase__ = 1
... | 37 | 0 |
from math import sqrt
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
for i in range(1 , int(sqrt(SCREAMING_SNAKE_CASE_ ) + 1 ) ):
if n % i == 0 and i != sqrt(SCREAMING_SNAKE_CASE_ ):
total += i + n // i
elif i == sqrt(SCREAMING_SNAKE_CASE_ ):
... | 702 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MA... | 37 | 0 |
import argparse
import json
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import ConvNextConfig, SegformerImageProcessor, UperNetConfig, UperNetForSemanticSegmentation
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = ... | 703 |
import argparse
import os
import numpy as np
import tensorflow as tf
import torch
from transformers import BertModel
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = ("dense.weight", "attention.self.query", "attention.sel... | 37 | 0 |
import argparse
import intel_extension_for_pytorch as ipex
import torch
from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline
lowercase_ = argparse.ArgumentParser("""Stable Diffusion script with intel optimization""", add_help=False)
parser.add_argument("""--dpm""", action="""store... | 704 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase_ = {
"""configuration_timesformer""": ["""TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TimesformerConfig"""],
}
try:
if not is_torch_available():
... | 37 | 0 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import BitConfig, ... | 705 |
import argparse
import os
from . import (
ALBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
BART_PRETRAINED_MODEL_ARCHIVE_LIST,
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP,
DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
DPR_CONTEXT_ENCO... | 37 | 0 |
import inspect
import logging
import os
import random
import shutil
import tempfile
import unittest
import pytest
import torch
from torch import nn
from torch.utils.data import DataLoader, TensorDataset
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_cuda
fro... | 706 |
import math
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
if 0 not in (x, y):
# We use the relation x^y = y*log10(x), where 10 is the base.
return y * math.logaa(SCREAMING_SNAKE_CASE_ )
else:
if x == 0: # 0 raised to any number is 0
return 0... | 37 | 0 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
if length <= 0 or not isinstance(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
raise ValueError("Length must be a positive integer." )
return [n * (2 * n - 1) for n in range(SCREAMING_SNAKE_CASE_ )]
if __name__ == "__main__":
pri... | 707 |
import pickle
import numpy as np
from matplotlib import pyplot as plt
class _snake_case :
def __init__( self : Tuple, __lowercase : Union[str, Any], __lowercase : int, __lowercase : Union[str, Any], __lowercase : str, __lowercase ... | 37 | 0 |
import os
import tempfile
import unittest
import uuid
from pathlib import Path
from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is... | 708 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
from transformers import BitConfig, ... | 37 | 0 |
import math
import qiskit
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ = 1 , SCREAMING_SNAKE_CASE_ = 1 , SCREAMING_SNAKE_CASE_ = 1 ):
if (
isinstance(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ )
or isinstance(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ )
... | 709 |
import json
from typing import Iterator, List, Union
from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing
cl... | 37 | 0 |
from __future__ import annotations
import math
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
if depth < 0:
raise ValueError("Depth cannot be less than 0" )
if len(SCREAMI... | 710 |
# Usage:
# ./gen-card-facebook-wmt19.py
import os
from pathlib import Path
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = {
"en": "Machine learning is great, isn't it?",
"ru": "Машинное обучение - это здоро... | 37 | 0 |
import unittest
import numpy as np
import requests
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_torch_available()... | 711 |
import os
import unittest
from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class _snake_case ( lowercase__ , unittest.TestCase):
UpperCamelCase__ : Dict =TransfoXLToke... | 37 | 0 |
from collections import defaultdict
from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst
def __lowerCAmelCase ( ):
lowercase__ , lowercase__ = 9, 14 # noqa: F841
lowercase__ = [
[0, 1, 4],
[0, 7, 8],
[1, 2, 8],
[7, 8, 7],
[... | 712 |
from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def __lowerCAmelCase ( ):
lowercase__ = HfArgumentParser(SCREAMING_SNAKE_CASE_ )
lowercase__ = parser.parse_args_into_dataclasses()[0]
lowercase__ = TensorFlowBenchmark(args=SCREA... | 37 | 0 |
import json
import pathlib
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_... | 713 |
import os
import re
import shutil
from argparse import ArgumentParser, Namespace
from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger
lowercase_ = """<<<<<<< This should probably be modified because it mentions: """
lowercase_ = """=======
>>>>... | 37 | 0 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
while b:
lowercase__ , lowercase__ = b, a % b
return a
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
return a if b == 0 else euclidean_gcd_recursive(SCREAMING_SNA... | 714 |
import json
from typing import Dict, List, Optional, Tuple, Union
from tokenizers import pre_tokenizers, processors
from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .toke... | 37 | 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 Reg... | 715 |
# 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 required by appli... | 37 | 0 |
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import ResNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...test_configuration_commo... | 716 |
import unittest
import numpy as np
from transformers.testing_utils import is_flaky, 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_torch_available():
... | 37 | 0 |
import argparse
import os
import numpy as np
import tensorflow as tf
import torch
from transformers import BertModel
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = ("dense.weight", "attention.self.query", "attention.se... | 717 |
import re
from pathlib import Path
from unittest import TestCase
import pytest
@pytest.mark.integration
class _snake_case ( lowercase__):
def A__ ( self : Optional[Any], __lowercase : str ):
with open(__lowercase, encoding="utf-8" ) as ... | 37 | 0 |
import argparse
import logging
import os
import sys
import numpy as np
import onnxruntime
import torch
from bart_onnx.generation_onnx import BARTBeamSearchGenerator
from bart_onnx.reduce_onnx_size import remove_dup_initializers
import transformers
from transformers import BartForConditionalGeneration, BartTokeniz... | 718 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37 | 0 |
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"""xlm-mlm-en-2048""": """https://huggingface.co/xlm-m... | 719 |
import unittest
import numpy as np
import requests
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_torch_available()... | 37 | 0 |
'''simple docstring'''
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from typing import Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import randn_tensor
from .scheduling_utils import Scheduler... | 720 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ , lowercase__ = len(SCREAMING_SNAKE_CASE_ ), len(grid[0] )
if (
min(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ) < 0
... | 37 | 0 |
lowercase_ = """Input must be a string of 8 numbers plus letter"""
lowercase_ = """TRWAGMYFPDXBNJZSQVHLCKE"""
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ : Optional[int] ):
if not isinstance(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_ ):
lowercase__ = ... | 721 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = 0
for ch in input_str:
lowercase__ = ord(SCREAMING_SNAKE_CASE_ )
lowercase__ = pow(2 , SCREAMING_SNAKE_CASE_ )
# If we already turned on bit for current character's unicode
if bitmap ... | 37 | 0 |
'''simple docstring'''
lowercase_ = [
"""DownloadConfig""",
"""DownloadManager""",
"""DownloadMode""",
"""StreamingDownloadManager""",
]
from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import St... | 700 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
lowercase__ = len(SCREAMING_SNAKE_CASE_ )
for i in range(SCREAMING_SNAKE_CASE_ ):
for j in range(i + 1 , SCREAMING_SNAKE_CASE_ ):
if numbers[j] < numbers[i]:
lowercase__ , lowercase__ = numbers[j]... | 37 | 0 |
import os
from typing import Optional
import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE
class _snake_case ( lowercase__):
UpperCamelCase__ : List[Any] =""""""
UpperCamelCase__ : str =(
None... | 701 |
def __lowerCAmelCase ( SCREAMING_SNAKE_CASE_ ):
if upper_limit < 0:
raise ValueError("Limit for the Catalan sequence must be ≥ 0" )
lowercase__ = [0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
lowercase__ = 1
if upper_limit > 0:
lowercase__ = 1
... | 37 | 0 |
import re
from filelock import FileLock
try:
import nltk
lowercase_ = True
except (ImportError, ModuleNotFoundError):
lowercase_ = False
if NLTK_AVAILABLE:
with FileLock(""".lock""") as lock:
nltk.download("""punkt""", quiet=True)
def __lowerCA... | 702 |
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {
"""configuration_roberta_prelayernorm""": [
"""ROBERTA_PRELAYERNORM_PRETRAINED_CONFIG_ARCHIVE_MA... | 37 | 0 |
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