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 |
|---|---|---|---|---|
'''simple docstring'''
import copy
from typing import Dict, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig
lowercase__ = {
"facebook/maskformer-swi... | 695 |
'''simple docstring'''
from __future__ import annotations
import math
import numpy as np
from numpy.linalg import norm
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return math.sqrt(sum(pow(a - b , 2 ) for a, b in zip(UpperCAmelCase_ , UpperCAmelCase_ ) ) ... | 695 | 1 |
'''simple docstring'''
import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Optional, Union
import torch
from filelock import FileLock
from torch.utils.data import Dataset
from ...models.auto.modeling_auto import MODEL_FOR_QUESTION_ANSWER... | 695 |
'''simple docstring'''
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
FEATURE_EXTRACTOR_MAPPING,
AutoConfig,
AutoFeatureExtractor,
WavaVecaConfig,
WavaVecaFeatureExtractor,
)
fr... | 695 | 1 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
UpperCAmelCase : Union[str, Any] = len(UpperCAmelCase_ )
print('The following activities are selected:' )
# The first activity is always selected
UpperCAmelCase : List[Any] = 0
print... | 695 |
'''simple docstring'''
from datetime import datetime
import requests
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : Tuple = 'https://downloadgram.net/wp-json/wppress/video-downloader/video?url='
UpperCAmelCase : List[str] = requests.get(base_url + url ).js... | 695 | 1 |
'''simple docstring'''
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"huggingface/autoformer-tourism-monthly": "https://huggingface.co/huggingface... | 695 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10**9 ):
UpperCAmelCase : Union[str, Any] = 1
UpperCAmelCase : Optional[int] = 2
UpperCAmelCase : List[str] = 0
UpperCAmelCase : Union[str, Any] = 0
UpperCAmelCase : List[Any] =... | 695 | 1 |
'''simple docstring'''
import inspect
import os
import sys
import unittest
import accelerate
from accelerate.test_utils import execute_subprocess_async, require_tpu
class A_ ( unittest.TestCase ):
'''simple docstring'''
def UpperCAmelCase_ ( self... | 695 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel
from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
e... | 695 | 1 |
'''simple docstring'''
import argparse
import os
import re
lowercase__ = "src/diffusers"
# Pattern that looks at the indentation in a line.
lowercase__ = re.compile(r"^(\s*)\S")
# Pattern that matches `"key":" and puts `key` in group 0.
lowercase__ = re.compile(r"^\s... | 695 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class A_ ( u... | 695 | 1 |
'''simple docstring'''
lowercase__ = 65521
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : str = 1
UpperCAmelCase : Optional[Any] = 0
for plain_chr in plain_text:
UpperCAmelCase : int = (a + ord(UpperCAmelCase_ )) % MOD_ADLER
Upp... | 695 |
'''simple docstring'''
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"huggingface/autoformer-tourism-monthly": "https://huggingface.co/huggingface... | 695 | 1 |
'''simple docstring'''
import pyarrow.parquet as pq
import pytest
from datasets import Audio, Dataset, DatasetDict, Features, NamedSplit, Sequence, Value, config
from datasets.features.image import Image
from datasets.io.parquet import ParquetDatasetReader, ParquetDatasetWriter, get_writer_batch_size
fr... | 700 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return [sentence[i : i + ngram_size] for i in range(len(UpperCAmelCase_ ) - ngram_size + 1 )]
if __name__ == "__main__":
from doctest import testmod
testmod()
| 695 | 0 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers... | 701 |
'''simple docstring'''
from math import cos, sin, sqrt, tau
from audio_filters.iir_filter import IIRFilter
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ = 1 / sqrt(2 ) ):
UpperCAmelCase : int = tau * frequency / samplerate
UpperCAmelCase : ... | 695 | 0 |
'''simple docstring'''
import unittest
import torch
from diffusers import VQModel
from diffusers.utils import floats_tensor, torch_device
from diffusers.utils.testing_utils import enable_full_determinism
from .test_modeling_common import ModelTesterMixin, UNetTesterMixin
enable_full_determinism()
class A_ ... | 702 |
'''simple docstring'''
from __future__ import annotations
import sys
from collections import deque
from typing import Generic, TypeVar
lowercase__ = TypeVar("T")
class A_ ( Generic[T] ):
'''simple docstring'''
UpperCAmelCase_ : deque[T]... | 695 | 0 |
'''simple docstring'''
import json
import logging
import os
import sys
from time import time
from unittest.mock import patch
from transformers.testing_utils import TestCasePlus, require_torch_tpu
logging.basicConfig(level=logging.DEBUG)
lowercase__ = logging.getLogger()
def ... | 703 |
'''simple docstring'''
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversat... | 695 | 0 |
'''simple docstring'''
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path
import torch_xla.distributed.xla_multiprocessing as xmp
def UpperCamelCase( ):
UpperCAmelCase : int = ArgumentParser(
description=(
'PyTorch ... | 704 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any
@dataclass
class A_ :
'''simple docstring'''
UpperCAmelCase_ : Any = ... | 705 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxSeqaSeqConfigWithPast
from ...utils import logging
if TYPE_CHECKING:
from ...feature_extr... | 695 | 0 |
'''simple docstring'''
import numpy as np
from PIL import Image
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ ):
UpperCAmelCase : List[Any] = np.array(lowerCamelCase_ )
if arr.shape[0] != arr.shape[1]:
raise ValueError('The input array is n... | 706 |
'''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-... | 695 | 0 |
'''simple docstring'''
import math
from datetime import datetime, timedelta
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : str = year % 19
UpperCAmelCase : Optional[int] = year % 4
UpperCAmelCase : int = year % 7
UpperCAmelCase : int ... | 707 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor
lowercase__ = logging.get_logger(__name__)
class A_ ( _snake_case ):
'''simple docstring'''
def __init__... | 695 | 0 |
'''simple docstring'''
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES, BertTokenizer
from transformers.testing_utils import require_tokenizers, r... | 708 |
'''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... | 695 | 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 ... | 709 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase , UpperCAmelCase : Any = 1, 1
UpperCAmelCase : Any = []
for i in range(1 , n + 1 ):
UpperCAmelCase : Tuple = prev_numerator + 2 * prev_denominator
UpperCAmelCa... | 695 | 0 |
'''simple docstring'''
import logging
import os
from logging import (
CRITICAL, # NOQA
DEBUG, # NOQA
ERROR, # NOQA
FATAL, # NOQA
INFO, # NOQA
NOTSET, # NOQA
WARN, # NOQA
WARNING, # NOQA
)
from typing import Optional
from tqdm import auto as tqdm_lib
low... | 710 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase : List[Any] = 2**power
UpperCAmelCase : List[Any] = 0
while n:
UpperCAmelCase , UpperCAmelCase : Optional[Any] = r + n % 10, n // 10
return r
if __name__ == "__ma... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
from typing import Any
class A_ :
'''simple docstring'''
def __init__( self : Tuple , lowercase_ : int ) -> Union[str, Any]:
UpperCAmelCase : Union[str, Any] = num_of_nodes
... | 711 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase__ = logging.get_log... | 695 | 0 |
'''simple docstring'''
import os
from pathlib import Path
from unittest.mock import patch
import pytest
import zstandard as zstd
from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
OfflineModeIsEnabled,
cached_path,
fsspec_get,
fsspec... | 712 |
'''simple docstring'''
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
lowerca... | 695 | 0 |
'''simple docstring'''
import os
import time
import pytest
from datasets.utils.filelock import FileLock, Timeout
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : Any = FileLock(str(tmpdir / 'foo.lock' ) )
UpperCAmelCase : Dict = FileLock(str(tmpdir / '... | 713 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"google/pix2struct-textcaps-base": (
"https://hugging... | 695 | 0 |
'''simple docstring'''
import inspect
import os
import unittest
from dataclasses import dataclass
import torch
from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, r... | 714 |
'''simple docstring'''
import baseaa
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baaencode(string.encode('utf-8' ) )
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baadecode(UpperCAmelCase_ ).decode('utf-8' )
if __name__ == "__main__":
lowercase__ ... | 695 | 0 |
import logging
import os
from typing import List, Tuple
import numpy as np
import psutil
import torch
import torch.distributed as dist
from transformers import RagRetriever
lowercase__ = logging.getLogger(__name__)
class A_ ( __lowerCAmelCase ):
... | 715 |
'''simple docstring'''
from __future__ import annotations
import math
import numpy as np
from numpy.linalg import norm
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return math.sqrt(sum(pow(a - b , 2 ) for a, b in zip(UpperCAmelCase_ , UpperCAmelCase_ ) ) ... | 695 | 0 |
'''simple docstring'''
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class A_ ( unittest.TestCase ):
'''simple docstring'''
def UpperCAmelCase_ ( self : Tuple ) -> Optional[Any]:
... | 716 |
'''simple docstring'''
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
FEATURE_EXTRACTOR_MAPPING,
AutoConfig,
AutoFeatureExtractor,
WavaVecaConfig,
WavaVecaFeatureExtractor,
)
fr... | 695 | 0 |
'''simple docstring'''
from binascii import hexlify
from hashlib import shaaaa
from os import urandom
# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526
lowercase__ = {
# 1536-bit
5: {
"prime": int(
... | 717 |
'''simple docstring'''
from datetime import datetime
import requests
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : Tuple = 'https://downloadgram.net/wp-json/wppress/video-downloader/video?url='
UpperCAmelCase : List[str] = requests.get(base_url + url ).js... | 695 | 0 |
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DDIMScheduler, DDPMScheduler, StableDiffusionUpscalePipeline, UNetaDConditionModel
from diffusers.utils... | 718 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10**9 ):
UpperCAmelCase : Union[str, Any] = 1
UpperCAmelCase : Optional[int] = 2
UpperCAmelCase : List[str] = 0
UpperCAmelCase : Union[str, Any] = 0
UpperCAmelCase : List[Any] =... | 695 | 0 |
'''simple docstring'''
import inspect
import tempfile
import unittest
from huggingface_hub import hf_hub_download
from transformers import is_torch_available
from transformers.testing_utils import is_flaky, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeli... | 719 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel
from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
e... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ ):
if not head:
return True
# split the list to two parts
UpperCAmelCase , UpperCAmelCase : Dict = head.next, head
while fast and fast.next:
UpperCAmelCase : List[Any] = fast.next.next
UpperCAmelCa... | 720 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class A_ ( u... | 695 | 0 |
'''simple docstring'''
lowercase__ = [
[0, 16, 13, 0, 0, 0],
[0, 0, 10, 12, 0, 0],
[0, 4, 0, 0, 14, 0],
[0, 0, 9, 0, 0, 20],
[0, 0, 0, 7, 0, 4],
[0, 0, 0, 0, 0, 0],
]
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ ... | 721 |
'''simple docstring'''
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"huggingface/autoformer-tourism-monthly": "https://huggingface.co/huggingface... | 695 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase__ : Optional[Any] = {
"configuration_roberta_prelayernorm": [
... | 700 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return [sentence[i : i + ngram_size] for i in range(len(UpperCAmelCase_ ) - ngram_size + 1 )]
if __name__ == "__main__":
from doctest import testmod
testmod()
| 695 | 0 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import AutoTokenizer, MBartConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_... | 701 |
'''simple docstring'''
from math import cos, sin, sqrt, tau
from audio_filters.iir_filter import IIRFilter
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ = 1 / sqrt(2 ) ):
UpperCAmelCase : int = tau * frequency / samplerate
UpperCAmelCase : ... | 695 | 0 |
'''simple docstring'''
from collections.abc import Callable
import numpy as np
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ ):
UpperCAmelCase : List[Any] = int(np.ceil((x_end - xa) / step_size ) )
UpperCAm... | 702 |
'''simple docstring'''
from __future__ import annotations
import sys
from collections import deque
from typing import Generic, TypeVar
lowercase__ = TypeVar("T")
class A_ ( Generic[T] ):
'''simple docstring'''
UpperCAmelCase_ : deque[T]... | 695 | 0 |
'''simple docstring'''
import gc
import threading
import time
import psutil
import torch
class A_ :
'''simple docstring'''
def __init__( self : str ) -> List[str]:
UpperCAmelCase : List[str] = psutil.Process()
UpperCAmelCase : in... | 703 |
'''simple docstring'''
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversat... | 695 | 0 |
'''simple docstring'''
from typing import Dict, List
from nltk.translate import gleu_score
import datasets
from datasets import MetricInfo
lowercase__ = "\\n@misc{wu2016googles,\n title={Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation... | 704 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 695 | 0 |
'''simple docstring'''
import numpy as np
def UpperCamelCase( UpperCAmelCase_ ):
return (2 / (1 + np.exp(-2 * vector ))) - 1
if __name__ == "__main__":
import doctest
doctest.testmod()
| 705 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxSeqaSeqConfigWithPast
from ...utils import logging
if TYPE_CHECKING:
from ...feature_extr... | 695 | 0 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor
lowercase__ = logging.get_logger(__name__)
class A_ ( __a ):
def __init__( self : List[str] , *lowercase_ : str , ... | 706 |
'''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-... | 695 | 0 |
'''simple docstring'''
from unittest.mock import patch
import pyspark
from datasets.packaged_modules.spark.spark import (
Spark,
SparkExamplesIterable,
_generate_iterable_examples,
)
from ..utils import (
require_dill_gt_0_3_2,
require_not_windows,
)
def UpperCamel... | 707 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor
lowercase__ = logging.get_logger(__name__)
class A_ ( _snake_case ):
'''simple docstring'''
def __init__... | 695 | 0 |
'''simple docstring'''
import os
from math import logaa
def UpperCamelCase( UpperCAmelCase_ = "base_exp.txt" ):
UpperCAmelCase : float = 0
UpperCAmelCase : Any = 0
for i, line in enumerate(open(os.path.join(os.path.dirname(UpperCAmelCase__ ) , UpperCAmelCase__... | 708 |
'''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... | 695 | 0 |
'''simple docstring'''
from typing import TYPE_CHECKING
# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
lowercase__ = {
'''configuration_autoformer''': [
'''AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
... | 709 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase , UpperCAmelCase : Any = 1, 1
UpperCAmelCase : Any = []
for i in range(1 , n + 1 ):
UpperCAmelCase : Tuple = prev_numerator + 2 * prev_denominator
UpperCAmelCa... | 695 | 0 |
'''simple docstring'''
from sklearn.metrics import mean_squared_error
import datasets
lowercase__ : int = '''\
@article{scikit-learn,
title={Scikit-learn: Machine Learning in {P}ython},
author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and... | 710 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase : List[Any] = 2**power
UpperCAmelCase : List[Any] = 0
while n:
UpperCAmelCase , UpperCAmelCase : Optional[Any] = r + n % 10, n // 10
return r
if __name__ == "__ma... | 695 | 0 |
'''simple docstring'''
import json
import os
from typing import Dict, List, Optional, Tuple
import regex as re
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"vocab_file": ... | 711 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase__ = logging.get_log... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
from typing import Any
class A_ :
'''simple docstring'''
def __init__( self : Any , lowercase_ : int ) -> List[str]:
UpperCAmelCase : Dict = num_of_nodes
UpperCAmelCase... | 712 |
'''simple docstring'''
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
lowerca... | 695 | 0 |
'''simple docstring'''
import re
from ..models.auto import AutoProcessor
from ..models.vision_encoder_decoder import VisionEncoderDecoderModel
from ..utils import is_vision_available
from .base import PipelineTool
if is_vision_available():
from PIL import Image
class A_ ( _snake_c... | 713 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"google/pix2struct-textcaps-base": (
"https://hugging... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_=False ) -> Optional[Any]:
if isinstance(UpperCAmelCase_ , UpperCAmelCase_ ) and isinstance(UpperCAmelCase_ , UpperCAmelCase_ ):
UpperCAmelCase : Tuple = len(set_a.... | 714 |
'''simple docstring'''
import baseaa
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baaencode(string.encode('utf-8' ) )
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baadecode(UpperCAmelCase_ ).decode('utf-8' )
if __name__ == "__main__":
lowercase__ ... | 695 | 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, re... | 715 |
'''simple docstring'''
from __future__ import annotations
import math
import numpy as np
from numpy.linalg import norm
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return math.sqrt(sum(pow(a - b , 2 ) for a, b in zip(UpperCAmelCase_ , UpperCAmelCase_ ) ) ... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
lowercase__ = {
"""A""": ["""B""", """C""", """E"""],
"""B""": ["""A""", """D""", """E"""],
"""C""": ["""A""", """F""", """G"""],
"""D""": ["""B"""],
"""E""": ["""A""", """B""", """D"""],
"""F""": ["""C"""],
... | 716 |
'''simple docstring'''
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
FEATURE_EXTRACTOR_MAPPING,
AutoConfig,
AutoFeatureExtractor,
WavaVecaConfig,
WavaVecaFeatureExtractor,
)
fr... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ ):
if length <= 0 or not isinstance(UpperCAmelCase_ , UpperCAmelCase_ ):
raise ValueError('Length must be a positive integer.' )
return [n * (2 * n - 1) for n in range(UpperCAmelCase_ )]
if __name__ == "__main__":
print(hexagonal_... | 717 |
'''simple docstring'''
from datetime import datetime
import requests
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : Tuple = 'https://downloadgram.net/wp-json/wppress/video-downloader/video?url='
UpperCAmelCase : List[str] = requests.get(base_url + url ).js... | 695 | 0 |
def UpperCamelCase( ):
UpperCAmelCase : str = 0
for i in range(1 , 10_01 ):
total += i**i
return str(__lowerCAmelCase )[-10:]
if __name__ == "__main__":
print(solution())
| 718 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10**9 ):
UpperCAmelCase : Union[str, Any] = 1
UpperCAmelCase : Optional[int] = 2
UpperCAmelCase : List[str] = 0
UpperCAmelCase : Union[str, Any] = 0
UpperCAmelCase : List[Any] =... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import DistilBertConfig, 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, ... | 719 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel
from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
e... | 695 | 0 |
'''simple docstring'''
lowercase__ = {0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}
lowercase__ = {0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ ):
UpperCAmelCase : Tuple = ... | 720 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class A_ ( u... | 695 | 0 |
'''simple docstring'''
import re
def UpperCamelCase( UpperCAmelCase_ ):
return [char.split() for char in re.split(R'[^ a-z A-Z 0-9 \s]' , str_ )]
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : str = split_input(str_ )
return "".join(
[''.join([char.capitalize... | 721 |
'''simple docstring'''
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"huggingface/autoformer-tourism-monthly": "https://huggingface.co/huggingface... | 695 | 0 |
'''simple docstring'''
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.layers import LSTM, Dense
from tensorflow.keras.models import Sequential
if __name__ == "__main__":
lowercase__ : str = pd.read_csv("sample_data.csv", heade... | 700 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return [sentence[i : i + ngram_size] for i in range(len(UpperCAmelCase_ ) - ngram_size + 1 )]
if __name__ == "__main__":
from doctest import testmod
testmod()
| 695 | 0 |
'''simple docstring'''
import json
from typing import List, Optional, Tuple
from tokenizers import normalizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer
lowercase__ = logging.get_logger... | 701 |
'''simple docstring'''
from math import cos, sin, sqrt, tau
from audio_filters.iir_filter import IIRFilter
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ = 1 / sqrt(2 ) ):
UpperCAmelCase : int = tau * frequency / samplerate
UpperCAmelCase : ... | 695 | 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... | 702 |
'''simple docstring'''
from __future__ import annotations
import sys
from collections import deque
from typing import Generic, TypeVar
lowercase__ = TypeVar("T")
class A_ ( Generic[T] ):
'''simple docstring'''
UpperCAmelCase_ : deque[T]... | 695 | 0 |
'''simple docstring'''
import os
import random
import sys
from . import cryptomath_module as cryptomath
from . import rabin_miller
lowercase__ = 3
def UpperCamelCase( UpperCAmelCase_ ):
print('Generating primitive root of p' )
while True:
UpperCAmelCase : Tuple ... | 703 |
'''simple docstring'''
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversat... | 695 | 0 |
'''simple docstring'''
from ...utils import is_torch_available, is_transformers_available
if is_transformers_available() and is_torch_available():
from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline
| 704 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ ): # noqa: E741
UpperCAmelCase : List[Any] = len(a_ )
UpperCAmelCase : List[str] = 0
UpperCAmelCase : Union[str, Any] = [0] * n
UpperCAmelCase : Optional[int] = [False] * n
UpperCAmelCase... | 705 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxSeqaSeqConfigWithPast
from ...utils import logging
if TYPE_CHECKING:
from ...feature_extr... | 695 | 0 |
'''simple docstring'''
import os
import pytest
from datasets import (
get_dataset_config_info,
get_dataset_config_names,
get_dataset_infos,
get_dataset_split_names,
inspect_dataset,
inspect_metric,
)
lowercase__ = pytest.mark.integration
@pytest.mark.... | 706 |
'''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-... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : str = 0.00
UpperCAmelCase : int = 0
for resistor in resistors:
if resistor <= 0:
UpperCAmelCase : str = F"""Resistor at index {... | 707 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor
lowercase__ = logging.get_logger(__name__)
class A_ ( _snake_case ):
'''simple docstring'''
def __init__... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ ):
if isinstance(__UpperCamelCase , __UpperCamelCase ):
raise TypeError('\'float\' object cannot be interpreted as an integer' )
if isinstance(__UpperCamelCase , __UpperCamelCase ):
raise TypeError('\'str\' object cannot... | 708 |
'''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... | 695 | 0 |
'''simple docstring'''
lowercase__ = {
"km/h": 1.0,
"m/s": 3.6,
"mph": 1.609344,
"knot": 1.852,
}
lowercase__ = {
"km/h": 1.0,
"m/s": 0.277777778,
"mph": 0.621371192,
"knot": 0.539956803,
}
def UpperCamelCase( UpperCAmelCase_ , ... | 709 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase , UpperCAmelCase : Any = 1, 1
UpperCAmelCase : Any = []
for i in range(1 , n + 1 ):
UpperCAmelCase : Tuple = prev_numerator + 2 * prev_denominator
UpperCAmelCa... | 695 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
lowercase__ : Optional[int] = logging.get_logger(__name__)
lowercase__ : Any... | 710 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase : List[Any] = 2**power
UpperCAmelCase : List[Any] = 0
while n:
UpperCAmelCase , UpperCAmelCase : Optional[Any] = r + n % 10, n // 10
return r
if __name__ == "__ma... | 695 | 0 |
'''simple docstring'''
from collections import namedtuple
import requests
from lxml import html # type: ignore
lowercase__ = namedtuple("covid_data", "cases deaths recovered")
def UpperCamelCase( UpperCAmelCase_ = "https://www.worldometers.info/coronavirus/" ) -> covid_dat... | 711 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase__ = logging.get_log... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
lowercase__ = list[tuple[int, int]]
lowercase__ = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstacles
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0],
[1, 0, 1, 0, ... | 712 |
'''simple docstring'''
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
lowerca... | 695 | 0 |
'''simple docstring'''
#
# This a `torch.distributed` diagnostics script that checks that all GPUs in the cluster (one or
# many nodes) can talk to each other via nccl and allocate gpu memory.
#
# To run first adjust the number of processes and nodes:
#
# python -m torch.distributed.run --nproc_per_node 2 ... | 713 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"google/pix2struct-textcaps-base": (
"https://hugging... | 695 | 0 |
'''simple docstring'''
from typing import List
import jiwer
import jiwer.transforms as tr
from packaging import version
import datasets
from datasets.config import PY_VERSION
if PY_VERSION < version.parse("3.8"):
import importlib_metadata
else:
import importlib.metadata as importlib_metadata
... | 714 |
'''simple docstring'''
import baseaa
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baaencode(string.encode('utf-8' ) )
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baadecode(UpperCAmelCase_ ).decode('utf-8' )
if __name__ == "__main__":
lowercase__ ... | 695 | 0 |
from __future__ import annotations
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : Optional[Any] = len(UpperCamelCase__ )
# We need to create solution object to save path.
UpperCAmelCase : int = [[0 for _ in range(UpperCamelCase__ )] for _ in range(UpperCamel... | 715 |
'''simple docstring'''
from __future__ import annotations
import math
import numpy as np
from numpy.linalg import norm
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return math.sqrt(sum(pow(a - b , 2 ) for a, b in zip(UpperCAmelCase_ , UpperCAmelCase_ ) ) ... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
import requests
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : str = F"""https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"""
return requests.get(_UpperCAmelCase ).json()
de... | 716 |
'''simple docstring'''
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
FEATURE_EXTRACTOR_MAPPING,
AutoConfig,
AutoFeatureExtractor,
WavaVecaConfig,
WavaVecaFeatureExtractor,
)
fr... | 695 | 0 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"sayakpaul/vit-msn-base": "https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json",
# See all ViT MSN mod... | 717 |
'''simple docstring'''
from datetime import datetime
import requests
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : Tuple = 'https://downloadgram.net/wp-json/wppress/video-downloader/video?url='
UpperCAmelCase : List[str] = requests.get(base_url + url ).js... | 695 | 0 |
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"huggingface/informer-tourism-monthly": (
"https://huggingface.co/huggingface/informer-... | 718 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10**9 ):
UpperCAmelCase : Union[str, Any] = 1
UpperCAmelCase : Optional[int] = 2
UpperCAmelCase : List[str] = 0
UpperCAmelCase : Union[str, Any] = 0
UpperCAmelCase : List[Any] =... | 695 | 0 |
'''simple docstring'''
import argparse
import torch
from transformers import BlenderbotConfig, BlenderbotForConditionalGeneration
from transformers.utils import logging
logging.set_verbosity_info()
lowercase__ = logging.get_logger(__name__)
lowercase__ = [
["attention", "attn"],
["... | 719 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel
from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
e... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ ):
if height >= 1:
move_tower(height - 1 , lowercase_ , lowercase_ , lowercase_ )
move_disk(lowercase_ , lowercase_ )
move_tower(height - 1 ... | 720 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class A_ ( u... | 695 | 0 |
'''simple docstring'''
import inspect
import re
from transformers.utils import direct_transformers_import
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
lowercase__ = "src/transformers"
# This is to m... | 721 |
'''simple docstring'''
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"huggingface/autoformer-tourism-monthly": "https://huggingface.co/huggingface... | 695 | 0 |
'''simple docstring'''
import unittest
import numpy as np
from transformers import BertConfig, 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_avai... | 700 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return [sentence[i : i + ngram_size] for i in range(len(UpperCAmelCase_ ) - ngram_size + 1 )]
if __name__ == "__main__":
from doctest import testmod
testmod()
| 695 | 0 |
'''simple docstring'''
import inspect
import unittest
from transformers import ViTConfig
from transformers.testing_utils import (
require_accelerate,
require_torch,
require_torch_gpu,
require_vision,
slow,
torch_device,
)
from transformers.utils import cached_property, is_tor... | 701 |
'''simple docstring'''
from math import cos, sin, sqrt, tau
from audio_filters.iir_filter import IIRFilter
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ = 1 / sqrt(2 ) ):
UpperCAmelCase : int = tau * frequency / samplerate
UpperCAmelCase : ... | 695 | 0 |
'''simple docstring'''
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
flip_channel_order,
get_resize_output_image_size,
rescale,
resize,... | 702 |
'''simple docstring'''
from __future__ import annotations
import sys
from collections import deque
from typing import Generic, TypeVar
lowercase__ = TypeVar("T")
class A_ ( Generic[T] ):
'''simple docstring'''
UpperCAmelCase_ : deque[T]... | 695 | 0 |
'''simple docstring'''
import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError
from transformers import (
... | 703 |
'''simple docstring'''
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversat... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
from decimal import Decimal
from math import * # noqa: F403
from sympy import diff
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ = 10**-10 ):
UpperCAmelCase : str = a
while True:
... | 704 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 695 | 0 |
'''simple docstring'''
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"t5-small": "https://huggingface.co/t... | 705 |
'''simple docstring'''
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxSeqaSeqConfigWithPast
from ...utils import logging
if TYPE_CHECKING:
from ...feature_extr... | 695 | 0 |
'''simple docstring'''
import io
import json
import fsspec
import pytest
from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter
from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
... | 706 |
'''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-... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
if digit_amount > 0:
return round(number - int(lowerCAmelCase_ ) , lowerCAmelCase_ )
return number - int(lowerCAmelCase_ )
if __name__ == "__main__":
print(decimal_isolate(1.53, 0))
print... | 707 |
'''simple docstring'''
import warnings
from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor
lowercase__ = logging.get_logger(__name__)
class A_ ( _snake_case ):
'''simple docstring'''
def __init__... | 695 | 0 |
'''simple docstring'''
from math import sqrt
def UpperCamelCase( UpperCAmelCase_ = 1_00_00_00 ):
UpperCAmelCase : int = 0
UpperCAmelCase : Dict = 0
UpperCAmelCase : int = 42
while num_cuboids <= limit:
max_cuboid_size += 1
for sum_shortest_sides ... | 708 |
'''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... | 695 | 0 |
'''simple docstring'''
from scipy.stats import spearmanr
import datasets
lowercase__ = '\nThe Spearman rank-order correlation coefficient is a measure of the\nrelationship between two datasets. Like other correlation coefficients,\nthis one varies between -1 and +1 with 0 implying no correlati... | 709 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase , UpperCAmelCase : Any = 1, 1
UpperCAmelCase : Any = []
for i in range(1 , n + 1 ):
UpperCAmelCase : Tuple = prev_numerator + 2 * prev_denominator
UpperCAmelCa... | 695 | 0 |
'''simple docstring'''
import argparse
import os
import re
import torch
from flax.traverse_util import flatten_dict
from tax import checkpoints
from transformers import (
AutoTokenizer,
PixaStructConfig,
PixaStructForConditionalGeneration,
PixaStructImageProcessor,
PixaStructPr... | 710 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10_00 ):
UpperCAmelCase : List[Any] = 2**power
UpperCAmelCase : List[Any] = 0
while n:
UpperCAmelCase , UpperCAmelCase : Optional[Any] = r + n % 10, n // 10
return r
if __name__ == "__ma... | 695 | 0 |
'''simple docstring'''
import argparse
import torch
# Step 1. clone https://github.com/microsoft/unilm
# Step 2. git checkout to https://github.com/microsoft/unilm/commit/b94ec76c36f02fb2b0bf0dcb0b8554a2185173cd
# Step 3. cd unilm
# Step 4. ln -s $(realpath wavlm/modules.py) ./ # create simlink
# impo... | 711 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase__ = logging.get_log... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ ):
assert isinstance(__snake_case , __snake_case ), F"""The input value of [n={number}] is not an integer"""
if number == 1:
return 2
elif number < 1:
UpperCAmelCase : Any = F"""The input value of [n={number}] has to b... | 712 |
'''simple docstring'''
import io
import json
import unittest
from parameterized import parameterized
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu
lowerca... | 695 | 0 |
'''simple docstring'''
import argparse
from pathlib import Path
from typing import Dict, OrderedDict, Tuple
import torch
from audiocraft.models import MusicGen
from transformers import (
AutoFeatureExtractor,
AutoTokenizer,
EncodecModel,
MusicgenDecoderConfig,
MusicgenForConditi... | 713 |
'''simple docstring'''
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"google/pix2struct-textcaps-base": (
"https://hugging... | 695 | 0 |
'''simple docstring'''
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
EulerAncestralDiscreteScheduler,
LMSDiscr... | 714 |
'''simple docstring'''
import baseaa
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baaencode(string.encode('utf-8' ) )
def UpperCamelCase( UpperCAmelCase_ ):
return baseaa.baadecode(UpperCAmelCase_ ).decode('utf-8' )
if __name__ == "__main__":
lowercase__ ... | 695 | 0 |
import warnings
from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor
lowercase__ = logging.get_logger(__name__)
class A_ ( _UpperCamelCase ):
'''simple docstring'''
def __init__( self : str , ... | 715 |
'''simple docstring'''
from __future__ import annotations
import math
import numpy as np
from numpy.linalg import norm
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return math.sqrt(sum(pow(a - b , 2 ) for a, b in zip(UpperCAmelCase_ , UpperCAmelCase_ ) ) ... | 695 | 0 |
'''simple docstring'''
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
from tensorflow.keras.layers import LSTM, Dense
from tensorflow.keras.models import Sequential
if __name__ == "__main__":
lowercase__ = pd.read_csv("sample_data.csv", header=None)
lo... | 716 |
'''simple docstring'''
import json
import sys
import tempfile
import unittest
from pathlib import Path
import transformers
from transformers import (
CONFIG_MAPPING,
FEATURE_EXTRACTOR_MAPPING,
AutoConfig,
AutoFeatureExtractor,
WavaVecaConfig,
WavaVecaFeatureExtractor,
)
fr... | 695 | 0 |
'''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... | 717 |
'''simple docstring'''
from datetime import datetime
import requests
def UpperCamelCase( UpperCAmelCase_ ):
UpperCAmelCase : Tuple = 'https://downloadgram.net/wp-json/wppress/video-downloader/video?url='
UpperCAmelCase : List[str] = requests.get(base_url + url ).js... | 695 | 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_te... | 718 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 10**9 ):
UpperCAmelCase : Union[str, Any] = 1
UpperCAmelCase : Optional[int] = 2
UpperCAmelCase : List[str] = 0
UpperCAmelCase : Union[str, Any] = 0
UpperCAmelCase : List[Any] =... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
if is_tf_available():
import numpy as np
import tensorflow as tf
from transformers import TFXLM... | 719 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel
from diffusers import DDIMScheduler, LDMPipeline, UNetaDModel, VQModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
e... | 695 | 0 |
'''simple docstring'''
import functools
import gc
import inspect
import torch
from .imports import is_npu_available, is_xpu_available
def UpperCamelCase( *UpperCAmelCase_ ):
if not isinstance(__a , __a ):
UpperCAmelCase : List[Any] = list(__a )
for i in ... | 720 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import KarrasVePipeline, KarrasVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class A_ ( u... | 695 | 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", quiet=True)
def UpperCamelCase( UpperCAm... | 721 |
'''simple docstring'''
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase__ = logging.get_logger(__name__)
lowercase__ = {
"huggingface/autoformer-tourism-monthly": "https://huggingface.co/huggingface... | 695 | 0 |
'''simple docstring'''
class A_ : # Public class to implement a graph
'''simple docstring'''
def __init__( self : str , lowercase_ : int , lowercase_ : int , lowercase_ : list[list[bool]] ) -> List[str]:
UpperCAmelCase : Dict = ... | 700 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
return [sentence[i : i + ngram_size] for i in range(len(UpperCAmelCase_ ) - ngram_size + 1 )]
if __name__ == "__main__":
from doctest import testmod
testmod()
| 695 | 0 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_determinism()
... | 701 |
'''simple docstring'''
from math import cos, sin, sqrt, tau
from audio_filters.iir_filter import IIRFilter
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ , UpperCAmelCase_ = 1 / sqrt(2 ) ):
UpperCAmelCase : int = tau * frequency / samplerate
UpperCAmelCase : ... | 695 | 0 |
'''simple docstring'''
from __future__ import annotations
import requests
lowercase__ = set(
"approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category clicked content_categor... | 702 |
'''simple docstring'''
from __future__ import annotations
import sys
from collections import deque
from typing import Generic, TypeVar
lowercase__ = TypeVar("T")
class A_ ( Generic[T] ):
'''simple docstring'''
UpperCAmelCase_ : deque[T]... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ , UpperCAmelCase_ ):
UpperCAmelCase : Dict = len(UpperCamelCase__ ) + 1
UpperCAmelCase : int = len(UpperCamelCase__ ) + 1
# dp is a 2d matrix where dp[i][j] denotes whether prefix string of
# length i of i... | 703 |
'''simple docstring'''
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational import Conversat... | 695 | 0 |
'''simple docstring'''
def UpperCamelCase( UpperCAmelCase_ = 60_08_51_47_51_43 ):
try:
UpperCAmelCase : int = int(__SCREAMING_SNAKE_CASE )
except (TypeError, ValueError):
raise TypeError('Parameter n must be int or castable to int.' )
if n <= 0:
raise ValueError('... | 704 |
'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LIC... | 695 | 0 |
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