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"""
from math import sqrt
def snake_case__ ( __lowerCamelCase : int ):
"""simple docstring"""
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all even numbers, a... | 625 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __SCREAMING_SNAKE_CASE ( metaclass=lowerCAmelCase_ ):
'''simple docstring'''
_a = ['onnx']
def __init__( self : List[str], *lowerCamelCase : Union[str, An... | 625 | 1 |
"""simple docstring"""
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... | 625 |
"""simple docstring"""
import colorsys
from PIL import Image # type: ignore
def snake_case__ ( __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =x
lowerC... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int ):
"""simple docstring"""
assert (
isinstance(__lowerCamelCase , __lowerCamelCase ) and number_of_steps > 0
), f'''number_of_steps needs to be positive integer, your input {number_of_steps}'''
if numb... | 625 |
"""simple docstring"""
import argparse
import json
import gdown
import numpy as np
import torch
from huggingface_hub import hf_hub_download
from transformers import (
VideoMAEConfig,
VideoMAEForPreTraining,
VideoMAEForVideoClassification,
VideoMAEImageProcessor,
)
def snake_case__ ... | 625 | 1 |
"""simple docstring"""
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_lowercase : Optional[Any] = logging.get_logger(__name__)
_lowercase : Tuple = {
"huggingface/autoformer-tourism-monthly": "https://huggingfac... | 625 |
"""simple docstring"""
_lowercase : str = 0 # The first color of the flag.
_lowercase : Dict = 1 # The second color of the flag.
_lowercase : Tuple = 2 # The third color of the flag.
_lowercase : Optional[int] = (red, white, blue)
def snake_case__ ( _... | 625 | 1 |
"""simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
_lowercase : Any = logg... | 625 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMSche... | 625 | 1 |
"""simple docstring"""
import flax.linen as nn
import jax.numpy as jnp
from .attention_flax import FlaxTransformeraDModel
from .resnet_flax import FlaxDownsampleaD, FlaxResnetBlockaD, FlaxUpsampleaD
class __SCREAMING_SNAKE_CASE ( nn.Module ):
'''simple docstring'''
_a = ... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 4000000 ):
"""simple docstring"""
lowerCamelCase__ : Dict =[]
lowerCamelCase__ , lowerCamelCase__ : Union[str, Any] =0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCamelCase ... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int , __lowerCamelCase : str , __lowerCamelCase : Union[str, Any] , __lowerCamelCase : int , __lowerCamelCase : Union[str, Any] , __lowerCamelCase : Opti... | 625 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configu... | 625 | 1 |
"""simple docstring"""
import unittest
from transformers import (
MODEL_FOR_OBJECT_DETECTION_MAPPING,
AutoFeatureExtractor,
AutoModelForObjectDetection,
ObjectDetectionPipeline,
is_vision_available,
pipeline,
)
from transformers.testing_utils import (
is_pipeline_test,
nested_... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[list[int]] , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : list[int] ):
"""simple docstring"""
# 1. Validate that path exists between current and ne... | 625 | 1 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional
from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand
try:
from fastapi import Body, FastAPI, HTTPException
from fa... | 625 |
"""simple docstring"""
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_tokeniz... | 625 | 1 |
"""simple docstring"""
import json
import os
import unittest
from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer
from ...test_tokenization_common import TokenizerTesterMixin
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ , unittest.TestCase ):
'''simp... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
return " ".join(
''''''.join(word[::-1] ) if len(__lowerCamelCase ) > 4 else word for word in sentence.split() )
if __name__ == "__main__":
import doctest
doctest.testmod()
... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
import pandas as pd
def snake_case__ ( __lowerCamelCase : list[int] , __lowerCamelCase : list[int] , __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =[0... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 10 , __lowerCamelCase : int = 22 ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =range(1 , __lowerCamelCase )
lowerCamelCase__ : str =range(1 , __lowerCamelCase )
... | 625 | 1 |
"""simple docstring"""
from ...processing_utils import ProcessorMixin
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ ):
'''simple docstring'''
_a = 'SpeechT5FeatureExtractor'
_a = 'SpeechT5Tokenizer'
def __init__( self : Optional[i... | 625 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_flax_available, is_torch_a... | 625 | 1 |
"""simple docstring"""
from typing import List, Optional
import numpy as np
from ...processing_utils import ProcessorMixin
from ...utils import to_numpy
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ ):
'''simple docstring'''
_a = 'EncodecFeatureExtractor'
_a ... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list , __lowerCamelCase : list , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : int ):
"""simple docstring"""
if index == number_of_items:
... | 625 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, CycleDiffusionPipeline, DDIMScheduler, UNetaDConditionModel
from diffusers.utils import floats_tensor, loa... | 625 |
"""simple docstring"""
_lowercase : Optional[Any] = {
"Pillow": "Pillow<10.0.0",
"accelerate": "accelerate>=0.20.3",
"av": "av==9.2.0",
"beautifulsoup4": "beautifulsoup4",
"black": "black~=23.1",
"codecarbon": "codecarbon==1.2.0",
"cookiecutter": "cookiecutter==1.7.3",
... | 625 | 1 |
"""simple docstring"""
from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def snake_case__ ( __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =prime_factors(__lowerCamelCase )
if is_square_free(__... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[int] ):
"""simple docstring"""
if not numbers:
return 0
if not isinstance(__lowerCamelCase , (list, tuple) ) or not all(
isinstance(__lowerCamelCase , __lowerCamelCase ) for number in num... | 625 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
_lowercase : Tuple = {
"configuration_megatron_bert": ["MEGATRON_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegatronBertConfig"],
}
try:
if not is_torch_... | 625 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings_flax imp... | 625 | 1 |
"""simple docstring"""
import argparse
import json
import os
import evaluate
import torch
from datasets import load_dataset
from torch.optim import AdamW
from torch.utils.data import DataLoader
from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_se... | 625 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
_lowercase : Optional[Any] = {
"conf... | 625 | 1 |
"""simple docstring"""
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
convert_to_rgb,
get_resize_output_image_size,
normalize,
rescale,
... | 625 |
"""simple docstring"""
import os
def snake_case__ ( ):
"""simple docstring"""
with open(os.path.dirname(__lowerCamelCase ) + '''/p022_names.txt''' ) as file:
lowerCamelCase__ : Tuple =str(file.readlines()[0] )
lowerCamelCase__ : int =names.replace('''"''' , ''''... | 625 | 1 |
"""simple docstring"""
_lowercase : str = 0 # The first color of the flag.
_lowercase : Dict = 1 # The second color of the flag.
_lowercase : Tuple = 2 # The third color of the flag.
_lowercase : Optional[int] = (red, white, blue)
def snake_case__ ( _... | 625 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
def __init__( self : str, lowerCamelCase : int )-> None:
lowerCamelCase__ : str =value
... | 625 | 1 |
"""simple docstring"""
import random
from .binary_exp_mod import bin_exp_mod
def snake_case__ ( __lowerCamelCase : Optional[Any] , __lowerCamelCase : str=1000 ):
"""simple docstring"""
if n < 2:
return False
if n % 2 == 0:
return n == 2
# this... | 625 |
"""simple docstring"""
import argparse
import logging
import os
from datetime import datetime
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, TensorDataset
from tqdm import tqdm
from transformers import GPTaLMHeadModel
_lowercase : List[st... | 625 | 1 |
"""simple docstring"""
import math
import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute
def snake_case__ ( __lowerCamelCase : int = 3 ):
"""simple docstring"""
if isinstance(__lowerCamelCase , __lowerCamelCase... | 625 |
"""simple docstring"""
import argparse
from tax import checkpoints
from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : str , __lowerCamelCase : Tuple ):
"""simple docstring"""... | 625 | 1 |
"""simple docstring"""
import argparse
import json
import pickle
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import MaskFormerConfig, MaskFormerForInstanceSegmentation, MaskFormerImageProcessor, SwinConfig
from tra... | 625 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ConvNextConfig, UperNetConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transformers.utils import is_torch_a... | 625 | 1 |
"""simple docstring"""
import gc
import unittest
from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
from diffusers.utils import is_flax_available, slow
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
import jax.numpy as jnp
fro... | 625 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __SCREAMING_SNAKE_CASE ( metaclass=lowerCAmelCase_ ):
'''simple docstring'''
_a = ['onnx']
def __init__( self : List[str], *lowerCamelCase : Union[str, An... | 625 | 1 |
"""simple docstring"""
import os
from collections.abc import Iterator
def snake_case__ ( __lowerCamelCase : str = "." ):
"""simple docstring"""
for dir_path, dir_names, filenames in os.walk(__lowerCamelCase ):
lowerCamelCase__ : int =[d for d in dir_names if d != '''sc... | 625 |
"""simple docstring"""
import colorsys
from PIL import Image # type: ignore
def snake_case__ ( __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =x
lowerC... | 625 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
_lowercase : Tuple = {
"configuration_conditional_detr": [
"CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
"Cond... | 625 |
"""simple docstring"""
import argparse
import json
import gdown
import numpy as np
import torch
from huggingface_hub import hf_hub_download
from transformers import (
VideoMAEConfig,
VideoMAEForPreTraining,
VideoMAEForVideoClassification,
VideoMAEImageProcessor,
)
def snake_case__ ... | 625 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
_lowercase : str = {
"configuration_bridgetower": [
"BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
"BridgeTowerConfi... | 625 |
"""simple docstring"""
_lowercase : str = 0 # The first color of the flag.
_lowercase : Dict = 1 # The second color of the flag.
_lowercase : Tuple = 2 # The third color of the flag.
_lowercase : Optional[int] = (red, white, blue)
def snake_case__ ( _... | 625 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
if is_sentencepiece_available():
from ..ta... | 625 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMSche... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : List[str] =int(__lowerCamelCase )
if n_element < 1:
lowerCamelCase__ : List[str] =ValueError('''a should be a positive number''' )
raise my_error
l... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 4000000 ):
"""simple docstring"""
lowerCamelCase__ : Dict =[]
lowerCamelCase__ , lowerCamelCase__ : Union[str, Any] =0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCamelCase ... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
import numpy as np
def snake_case__ ( __lowerCamelCase : list[float] ):
"""simple docstring"""
return np.maximum(0 , __lowerCamelCase )
if __name__ == "__main__":
print(np.array(relu([-1, 0, 5]))) # --> [0, 0... | 625 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configu... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
from cmath import sqrt
def snake_case__ ( __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : int ):
"""simple docstring"""
if a == 0:
raise ValueError('''Coefficien... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[list[int]] , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : list[int] ):
"""simple docstring"""
# 1. Validate that path exists between current and ne... | 625 | 1 |
"""simple docstring"""
import argparse
import re
from pathlib import Path
import requests
import torch
from PIL import Image
from torchvision.transforms import CenterCrop, Compose, Normalize, Resize, ToTensor
from transformers import (
EfficientFormerConfig,
EfficientFormerForImageClassificationWith... | 625 |
"""simple docstring"""
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_tokeniz... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : List[str] , __lowerCamelCase : str ):
"""simple docstring"""
lowerCamelCase__ : Union[str, Any] =''''''
for i in table:
res += inp[i - 1]
return res
def snake_case__ ( __lowerCamelCa... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
return " ".join(
''''''.join(word[::-1] ) if len(__lowerCamelCase ) > 4 else word for word in sentence.split() )
if __name__ == "__main__":
import doctest
doctest.testmod()
... | 625 | 1 |
"""simple docstring"""
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile
from huggingface_hub import HfFolder, Repository, create_repo, delete_repo
from requests.exceptions import HTTPError
import transformers
from transformers import (
... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 10 , __lowerCamelCase : int = 22 ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =range(1 , __lowerCamelCase )
lowerCamelCase__ : str =range(1 , __lowerCamelCase )
... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
def snake_case__ ( __lowerCamelCase : int , __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : list[list[int]] =[]
create_all_state(1 , __lowerCamelCase , __lowerCamelCase... | 625 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_flax_available, is_torch_a... | 625 | 1 |
"""simple docstring"""
from sklearn.metrics import fa_score
import datasets
_lowercase : Dict = "\nThe F1 score is the harmonic mean of the precision and recall. It can be computed with the equation:\nF1 = 2 * (precision * recall) / (precision + recall)\n"
_lowercase : Optional[Any] ... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list , __lowerCamelCase : list , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : int ):
"""simple docstring"""
if index == number_of_items:
... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass
@dataclass
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
_a = 42
_a = 42
class __S... | 625 |
"""simple docstring"""
_lowercase : Optional[Any] = {
"Pillow": "Pillow<10.0.0",
"accelerate": "accelerate>=0.20.3",
"av": "av==9.2.0",
"beautifulsoup4": "beautifulsoup4",
"black": "black~=23.1",
"codecarbon": "codecarbon==1.2.0",
"cookiecutter": "cookiecutter==1.7.3",
... | 625 | 1 |
"""simple docstring"""
from typing import Optional
import numpy as np
import torch
from torch import nn
from transformers import GPTaConfig, GPTaLMHeadModel
from transformers.modeling_utils import ModuleUtilsMixin
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import Model... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[int] ):
"""simple docstring"""
if not numbers:
return 0
if not isinstance(__lowerCamelCase , (list, tuple) ) or not all(
isinstance(__lowerCamelCase , __lowerCamelCase ) for number in num... | 625 | 1 |
"""simple docstring"""
import functools
from typing import Any
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : list[str] ):
"""simple docstring"""
# Validation
if not isinstance(__lowerCamelCase , __lowerCamelCase ) or len(__lowerCamelCa... | 625 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings_flax imp... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : str ):
"""simple docstring"""
if not (isinstance(__lowerCamelCase , __lowerCamelCase ) and isinstance(__lowerCamelCase , __lowerCamelCase )):
raise ValueError(''... | 625 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
_lowercase : Optional[Any] = {
"conf... | 625 | 1 |
"""simple docstring"""
# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from ...utils import deprecate
from ..controlnet.multicontrolnet import MultiControlNetModel # noqa: F401
from ..contr... | 625 |
"""simple docstring"""
import os
def snake_case__ ( ):
"""simple docstring"""
with open(os.path.dirname(__lowerCamelCase ) + '''/p022_names.txt''' ) as file:
lowerCamelCase__ : Tuple =str(file.readlines()[0] )
lowerCamelCase__ : int =names.replace('''"''' , ''''... | 625 | 1 |
"""simple docstring"""
import os
_lowercase : Dict = {"I": 1, "V": 5, "X": 1_0, "L": 5_0, "C": 1_0_0, "D": 5_0_0, "M": 1_0_0_0}
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
lowerCamelCase__ : Tuple =0
lowerCamelCase__ : Tuple =0
whi... | 625 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
def __init__( self : str, lowerCamelCase : int )-> None:
lowerCamelCase__ : str =value
... | 625 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
_lowercase : Optional[Any] = {
"conf... | 625 |
"""simple docstring"""
import argparse
import logging
import os
from datetime import datetime
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, TensorDataset
from tqdm import tqdm
from transformers import GPTaLMHeadModel
_lowercase : List[st... | 625 | 1 |
"""simple docstring"""
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
def __init__( self : List[Any], lowerCamelCase : int, lowerCamelCase : Any=None, lowerCamelCase : Union[str, Any]=None )-> int:
lowerCamelCa... | 625 |
"""simple docstring"""
import argparse
from tax import checkpoints
from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : str , __lowerCamelCase : Tuple ):
"""simple docstring"""... | 625 | 1 |
"""simple docstring"""
import unittest
from transformers import DebertaVaConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import Mo... | 625 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ConvNextConfig, UperNetConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transformers.utils import is_torch_a... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections import deque
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
def __init__( self : Optional[Any], lowerCamelCase : list[str] )-> List[Any]:
lowerCamelCase__ : list[dic... | 625 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __SCREAMING_SNAKE_CASE ( metaclass=lowerCAmelCase_ ):
'''simple docstring'''
_a = ['onnx']
def __init__( self : List[str], *lowerCamelCase : Union[str, An... | 625 | 1 |
"""simple docstring"""
from unittest import TestCase
from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ ):
'''simple docstring'''
def snake_case ( self : Optional[int] )-> Union[str, Any]:... | 625 |
"""simple docstring"""
import colorsys
from PIL import Image # type: ignore
def snake_case__ ( __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =x
lowerC... | 625 | 1 |
"""simple docstring"""
_lowercase : Optional[Any] = {
"Pillow": "Pillow<10.0.0",
"accelerate": "accelerate>=0.20.3",
"av": "av==9.2.0",
"beautifulsoup4": "beautifulsoup4",
"black": "black~=23.1",
"codecarbon": "codecarbon==1.2.0",
"cookiecutter": "cookiecutter==1.7.3",
... | 625 |
"""simple docstring"""
import argparse
import json
import gdown
import numpy as np
import torch
from huggingface_hub import hf_hub_download
from transformers import (
VideoMAEConfig,
VideoMAEForPreTraining,
VideoMAEForVideoClassification,
VideoMAEImageProcessor,
)
def snake_case__ ... | 625 | 1 |
"""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, PNDMScheduler, StableDiffusionInpaintPipeline, UNetaDConditionModel
from diffusers.u... | 625 |
"""simple docstring"""
_lowercase : str = 0 # The first color of the flag.
_lowercase : Dict = 1 # The second color of the flag.
_lowercase : Tuple = 2 # The third color of the flag.
_lowercase : Optional[int] = (red, white, blue)
def snake_case__ ( _... | 625 | 1 |
"""simple docstring"""
import math
import tensorflow as tf
from packaging import version
def snake_case__ ( __lowerCamelCase : List[str] ):
"""simple docstring"""
lowerCamelCase__ : List[Any] =tf.convert_to_tensor(__lowerCamelCase )
lowerCamelCase__ : Optional[Any] =0... | 625 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMSche... | 625 | 1 |
"""simple docstring"""
import numpy as np
from numpy import ndarray
from scipy.optimize import Bounds, LinearConstraint, minimize
def snake_case__ ( __lowerCamelCase : ndarray ):
"""simple docstring"""
return np.dot(__lowerCamelCase , __lowerCamelCase )
class __SCREAMIN... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 4000000 ):
"""simple docstring"""
lowerCamelCase__ : Dict =[]
lowerCamelCase__ , lowerCamelCase__ : Union[str, Any] =0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCamelCase ... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
import os
from typing import Any
import requests
_lowercase : Optional[Any] = "https://api.github.com"
# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
_lowercase : int = BASE_U... | 625 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configu... | 625 | 1 |
"""simple docstring"""
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_uti... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[list[int]] , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : list[int] ):
"""simple docstring"""
# 1. Validate that path exists between current and ne... | 625 | 1 |
"""simple docstring"""
import argparse
from collections import OrderedDict
from pathlib import Path
import torch
from transformers import (
VisualBertConfig,
VisualBertForMultipleChoice,
VisualBertForPreTraining,
VisualBertForQuestionAnswering,
VisualBertForVisualReasoning,
)
from transf... | 625 |
"""simple docstring"""
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_tokeniz... | 625 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __SCREAMING_SNAKE_CASE ( metaclass=lowerCAmelCase_ ):
'''simple docstring'''
_a = ['onnx']
def __init__( self : List[str], *lowerCamelCase : Union[str, An... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
return " ".join(
''''''.join(word[::-1] ) if len(__lowerCamelCase ) > 4 else word for word in sentence.split() )
if __name__ == "__main__":
import doctest
doctest.testmod()
... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : int =[1]
lowerCamelCase__ , lowerCamelCase__ , lowerCamelCase__ : List[Any] =0, 0, 0
lowerCamelCase__ : Tuple =ugly_nums[ia] * 2
lowerCamelCase__... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 10 , __lowerCamelCase : int = 22 ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =range(1 , __lowerCamelCase )
lowerCamelCase__ : str =range(1 , __lowerCamelCase )
... | 625 | 1 |
"""simple docstring"""
import json
import re
from typing import TYPE_CHECKING, List, Optional, Tuple, Union
import numpy as np
from ...utils import is_tf_available, is_torch_available, logging
if TYPE_CHECKING:
if is_torch_available():
import torch
if is_tf_available():
import tensorflow as tf... | 625 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_flax_available, is_torch_a... | 625 | 1 |
"""simple docstring"""
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig
_lowercase : Dict = logging.get_logger(__name__)
_lowercase : Any = "T5Config"
class __SCREAMING_SNA... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list , __lowerCamelCase : list , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : int ):
"""simple docstring"""
if index == number_of_items:
... | 625 | 1 |
"""simple docstring"""
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ ):
'''simple docstring'''
@staticmethod
@abstractmethod
def snake_case ( lowerCamelCase : ArgumentParser )-> int:... | 625 |
"""simple docstring"""
_lowercase : Optional[Any] = {
"Pillow": "Pillow<10.0.0",
"accelerate": "accelerate>=0.20.3",
"av": "av==9.2.0",
"beautifulsoup4": "beautifulsoup4",
"black": "black~=23.1",
"codecarbon": "codecarbon==1.2.0",
"cookiecutter": "cookiecutter==1.7.3",
... | 625 | 1 |
"""simple docstring"""
from sympy import diff, lambdify, symbols
from sympy.functions import * # noqa: F403
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : complex , __lowerCamelCase : str = "x" , __lowerCamelCase : float = ... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[int] ):
"""simple docstring"""
if not numbers:
return 0
if not isinstance(__lowerCamelCase , (list, tuple) ) or not all(
isinstance(__lowerCamelCase , __lowerCamelCase ) for number in num... | 625 | 1 |
"""simple docstring"""
import copy
import os
from typing import Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
_lowercase : List[Any] = logging.get_logger(__name__)
_lowercase : str = {
"BridgeTower/bridgetower-base": "https://huggingface.c... | 625 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings_flax imp... | 625 | 1 |
"""simple docstring"""
import argparse
import torch
from safetensors.torch import load_file
from diffusers import StableDiffusionPipeline
def snake_case__ ( __lowerCamelCase : Union[str, Any] , __lowerCamelCase : Tuple , __lowerCamelCase : Tuple , ... | 625 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
_lowercase : Optional[Any] = {
"conf... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
import requests
_lowercase : Any = set(
"approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category clicked con... | 625 |
"""simple docstring"""
import os
def snake_case__ ( ):
"""simple docstring"""
with open(os.path.dirname(__lowerCamelCase ) + '''/p022_names.txt''' ) as file:
lowerCamelCase__ : Tuple =str(file.readlines()[0] )
lowerCamelCase__ : int =names.replace('''"''' , ''''... | 625 | 1 |
"""simple docstring"""
from typing import Callable, Optional
from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ ):
'''simple docstring'''
def __init__( self ... | 625 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
def __init__( self : str, lowerCamelCase : int )-> None:
lowerCamelCase__ : str =value
... | 625 | 1 |
"""simple docstring"""
import pandas as pd
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression
# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import train_test_split
# Fitting Polynomial Regression to the dataset
from sklearn.prepro... | 625 |
"""simple docstring"""
import argparse
import logging
import os
from datetime import datetime
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, TensorDataset
from tqdm import tqdm
from transformers import GPTaLMHeadModel
_lowercase : List[st... | 625 | 1 |
"""simple docstring"""
import copy
from ...configuration_utils import PretrainedConfig
from ...utils import add_start_docstrings
_lowercase : List[Any] = r"\n [`RagConfig`] stores the configuration of a *RagModel*. Configuration objects inherit from [`PretrainedConfig`] and\n can be used t... | 625 |
"""simple docstring"""
import argparse
from tax import checkpoints
from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : str , __lowerCamelCase : Tuple ):
"""simple docstring"""... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
return " ".join(
''''''.join(word[::-1] ) if len(__lowerCamelCase ) > 4 else word for word in sentence.split() )
if __name__ == "__main__":
import doctest
doctest.testmod()
... | 625 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ConvNextConfig, UperNetConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transformers.utils import is_torch_a... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list ):
"""simple docstring"""
if len(__lowerCamelCase ) < 2:
return collection
def circle_sort_util(__lowerCamelCase : list , __lowerCamelCase : int , __lowerCamelCase : ... | 625 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __SCREAMING_SNAKE_CASE ( metaclass=lowerCAmelCase_ ):
'''simple docstring'''
_a = ['onnx']
def __init__( self : List[str], *lowerCamelCase : Union[str, An... | 625 | 1 |
"""simple docstring"""
import absl # noqa: F401 # Here to have a nice missing dependency error message early on
import nltk # noqa: F401 # Here to have a nice missing dependency error message early on
import numpy # noqa: F401 # Here to have a nice missing dependency error message early on
import six # no... | 625 |
"""simple docstring"""
import colorsys
from PIL import Image # type: ignore
def snake_case__ ( __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =x
lowerC... | 625 | 1 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
# Register SEW's fairseq modules
from sew_asapp import tasks # noqa: F401
from transformers import (
SEWConfig,
SEWForCTC,
SEWModel,
WavaVecaCTCTokenizer,
WavaVe... | 625 |
"""simple docstring"""
import argparse
import json
import gdown
import numpy as np
import torch
from huggingface_hub import hf_hub_download
from transformers import (
VideoMAEConfig,
VideoMAEForPreTraining,
VideoMAEForVideoClassification,
VideoMAEImageProcessor,
)
def snake_case__ ... | 625 | 1 |
"""simple docstring"""
_lowercase : List[Any] = {
"a": "AAAAA",
"b": "AAAAB",
"c": "AAABA",
"d": "AAABB",
"e": "AABAA",
"f": "AABAB",
"g": "AABBA",
"h": "AABBB",
"i": "ABAAA",
"j": "BBBAA",
"k": "ABAAB",
"l": "ABABA",
"m": "ABABB",
"n": "ABBAA... | 625 |
"""simple docstring"""
_lowercase : str = 0 # The first color of the flag.
_lowercase : Dict = 1 # The second color of the flag.
_lowercase : Tuple = 2 # The third color of the flag.
_lowercase : Optional[int] = (red, white, blue)
def snake_case__ ( _... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
def snake_case__ ( __lowerCamelCase : list ):
"""simple docstring"""
if not nums:
raise ValueError('''List is empty''' )
return sum(__lowerCamelCase ) / len(__lowerCamelCase )
if __name__ == "__main__":
... | 625 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMSche... | 625 | 1 |
"""simple docstring"""
import argparse
from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection
from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline
if __name__ == "__main__":
_lowercase : Any = argparse.ArgumentParser()
parser.add_argument("--dump_path", de... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 4000000 ):
"""simple docstring"""
lowerCamelCase__ : Dict =[]
lowerCamelCase__ , lowerCamelCase__ : Union[str, Any] =0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCamelCase ... | 625 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, List, Mapping, Optional
from packaging import version
if TYPE_CHECKING:
from ... import PreTrainedTokenizer, TensorType
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWith... | 625 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configu... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int ):
"""simple docstring"""
if number > 0:
raise ValueError('''input must be a negative integer''' )
lowerCamelCase__ : List[Any] =len(bin(__lowerCamelCase )[3:] )
lowerCamelCase__ : Any =bin(abs(__l... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[list[int]] , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : list[int] ):
"""simple docstring"""
# 1. Validate that path exists between current and ne... | 625 | 1 |
"""simple docstring"""
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... | 625 |
"""simple docstring"""
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_tokeniz... | 625 | 1 |
"""simple docstring"""
import argparse
import gdown
import numpy as np
import torch
from huggingface_hub import hf_hub_download
from transformers import (
CLIPTokenizer,
CLIPTokenizerFast,
VideoMAEImageProcessor,
XCLIPConfig,
XCLIPModel,
XCLIPProcessor,
XCLIPTextConfig,
XCLIP... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
return " ".join(
''''''.join(word[::-1] ) if len(__lowerCamelCase ) > 4 else word for word in sentence.split() )
if __name__ == "__main__":
import doctest
doctest.testmod()
... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
def snake_case__ ( __lowerCamelCase : list[int] , __lowerCamelCase : int ):
"""simple docstring"""
if len(__lowerCamelCase ) < k or k < 0:
raise ValueError('''Invalid Input''' )
lowerCamelCase_... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 10 , __lowerCamelCase : int = 22 ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =range(1 , __lowerCamelCase )
lowerCamelCase__ : str =range(1 , __lowerCamelCase )
... | 625 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
_lowercase : int = logging.get_logger(__name__)
_lowercase : Any = {
"junnyu/rofor... | 625 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_flax_available, is_torch_a... | 625 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_image_inputs
if is_torc... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list , __lowerCamelCase : list , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : int ):
"""simple docstring"""
if index == number_of_items:
... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
return "".join(chr(ord(__lowerCamelCase ) - 32 ) if '''a''' <= char <= '''z''' else char for char in word )
if __name__ == "__main__":
from doctest import testmod
testmod()
| 625 |
"""simple docstring"""
_lowercase : Optional[Any] = {
"Pillow": "Pillow<10.0.0",
"accelerate": "accelerate>=0.20.3",
"av": "av==9.2.0",
"beautifulsoup4": "beautifulsoup4",
"black": "black~=23.1",
"codecarbon": "codecarbon==1.2.0",
"cookiecutter": "cookiecutter==1.7.3",
... | 625 | 1 |
"""simple docstring"""
import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union
import regex as re
from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import Padd... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[int] ):
"""simple docstring"""
if not numbers:
return 0
if not isinstance(__lowerCamelCase , (list, tuple) ) or not all(
isinstance(__lowerCamelCase , __lowerCamelCase ) for number in num... | 625 | 1 |
"""simple docstring"""
import requests
_lowercase : List[str] = "YOUR API KEY"
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : str = giphy_api_key ):
"""simple docstring"""
lowerCamelCase__ : List[str] ='''+'''.join(query.split() )
... | 625 |
"""simple docstring"""
from typing import Optional, Tuple, Union
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
from flax.core.frozen_dict import FrozenDict
from ..configuration_utils import ConfigMixin, flax_register_to_config
from ..utils import BaseOutput
from .embeddings_flax imp... | 625 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaImgaImgPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils import floats_tensor, ... | 625 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
_lowercase : Optional[Any] = {
"conf... | 625 | 1 |
"""simple docstring"""
_lowercase : int = "0.21.0"
from .accelerator import Accelerator
from .big_modeling import (
cpu_offload,
cpu_offload_with_hook,
disk_offload,
dispatch_model,
init_empty_weights,
init_on_device,
load_checkpoint_and_dispatch,
)
from .data_loader im... | 625 |
"""simple docstring"""
import os
def snake_case__ ( ):
"""simple docstring"""
with open(os.path.dirname(__lowerCamelCase ) + '''/p022_names.txt''' ) as file:
lowerCamelCase__ : Tuple =str(file.readlines()[0] )
lowerCamelCase__ : int =names.replace('''"''' , ''''... | 625 | 1 |
"""simple docstring"""
from typing import Callable, Dict, Optional, Tuple
import torch
from torch import nn
from torch.distributions import (
AffineTransform,
Distribution,
Independent,
NegativeBinomial,
Normal,
StudentT,
TransformedDistribution,
)
class __SCREAMING_SNAKE_CASE ... | 625 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Iterator
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
def __init__( self : str, lowerCamelCase : int )-> None:
lowerCamelCase__ : str =value
... | 625 | 1 |
"""simple docstring"""
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def snake_case__ ( *__lowerCamelCase : Union[str, Any] , __lowerCamelCase : Optional[Union[Dict, Any]] = None , __lowerCamelCase ... | 625 |
"""simple docstring"""
import argparse
import logging
import os
from datetime import datetime
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, TensorDataset
from tqdm import tqdm
from transformers import GPTaLMHeadModel
_lowercase : List[st... | 625 | 1 |
"""simple docstring"""
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0... | 625 |
"""simple docstring"""
import argparse
from tax import checkpoints
from transformers import AutoConfig, FlaxAutoModelForSeqaSeqLM
def snake_case__ ( __lowerCamelCase : str , __lowerCamelCase : str , __lowerCamelCase : Tuple ):
"""simple docstring"""... | 625 | 1 |
"""simple docstring"""
import itertools
import os
import random
import tempfile
import unittest
import numpy as np
from datasets import load_dataset
from transformers import is_speech_available
from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_torchaudio
from ... | 625 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ConvNextConfig, UperNetConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transformers.utils import is_torch_a... | 625 | 1 |
"""simple docstring"""
class __SCREAMING_SNAKE_CASE :
'''simple docstring'''
def __init__( self : str, lowerCamelCase : str, lowerCamelCase : List[Any] )-> Tuple:
lowerCamelCase__ : Union[str, Any] =name
lowerCamelCase__ :... | 625 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __SCREAMING_SNAKE_CASE ( metaclass=lowerCAmelCase_ ):
'''simple docstring'''
_a = ['onnx']
def __init__( self : List[str], *lowerCamelCase : Union[str, An... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : float , ):
"""simple docstring"""
lowerCamelCase_... | 625 |
"""simple docstring"""
import colorsys
from PIL import Image # type: ignore
def snake_case__ ( __lowerCamelCase : float , __lowerCamelCase : float , __lowerCamelCase : int ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =x
lowerC... | 625 | 1 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[list[int]] , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : list[int] ):
"""simple docstring"""
# 1. Validate that path exists between current and ne... | 625 |
"""simple docstring"""
import argparse
import json
import gdown
import numpy as np
import torch
from huggingface_hub import hf_hub_download
from transformers import (
VideoMAEConfig,
VideoMAEForPreTraining,
VideoMAEForVideoClassification,
VideoMAEImageProcessor,
)
def snake_case__ ... | 625 | 1 |
"""simple docstring"""
from typing import Union
from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
from ..image_utils import load_image
if is_torch_available():
from ... | 625 |
"""simple docstring"""
_lowercase : str = 0 # The first color of the flag.
_lowercase : Dict = 1 # The second color of the flag.
_lowercase : Tuple = 2 # The third color of the flag.
_lowercase : Optional[int] = (red, white, blue)
def snake_case__ ( _... | 625 | 1 |
"""simple docstring"""
from manim import *
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ ):
'''simple docstring'''
def snake_case ( self : str )-> Any:
lowerCamelCase__ : Any =Rectangle(height=0.5, width=0.5 )
lowerCamelCase__ : Optional[i... | 625 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from transformers import (
CLIPImageProcessor,
CLIPTextConfig,
CLIPTextModel,
CLIPTokenizer,
CLIPVisionConfig,
CLIPVisionModelWithProjection,
)
from diffusers import AutoencoderKL, DDIMSche... | 625 | 1 |
"""simple docstring"""
from math import factorial
_lowercase : dict[str, int] = {str(digit): factorial(digit) for digit in range(1_0)}
def snake_case__ ( __lowerCamelCase : int ):
"""simple docstring"""
if not isinstance(__lowerCamelCase , __lowerCamelCase ):
... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 4000000 ):
"""simple docstring"""
lowerCamelCase__ : Dict =[]
lowerCamelCase__ , lowerCamelCase__ : Union[str, Any] =0, 1
while b <= n:
if b % 2 == 0:
even_fibs.append(__lowerCamelCase ... | 625 | 1 |
"""simple docstring"""
import warnings
warnings.warn(
"memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: "
"`from accelerate import find_executable_batch_size` to avoid this warning.",
FutureWarning,
)
| 625 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configu... | 625 | 1 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ConvNextConfig, UperNetConfig
from transformers.testing_utils import require_torch, require_torch_multi_gpu, require_vision, slow, torch_device
from transformers.utils import is_torch_a... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : list[list[int]] , __lowerCamelCase : int , __lowerCamelCase : int , __lowerCamelCase : list[int] ):
"""simple docstring"""
# 1. Validate that path exists between current and ne... | 625 | 1 |
"""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/LICENS... | 625 |
"""simple docstring"""
import shutil
import tempfile
import unittest
from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
get_tests_dir,
nested_simplify,
require_sentencepiece,
require_tokeniz... | 625 | 1 |
"""simple docstring"""
import os
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
lowerCamelCase__ : List[Any] =len(grid[0] )
lowerCamelCase__ : Tuple =len(__lowerCamelCase )
lowerCamelCase__ : Any =0
lowerCamelCase__ : List[Any] =0
... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : str ):
"""simple docstring"""
return " ".join(
''''''.join(word[::-1] ) if len(__lowerCamelCase ) > 4 else word for word in sentence.split() )
if __name__ == "__main__":
import doctest
doctest.testmod()
... | 625 | 1 |
"""simple docstring"""
import torch
from diffusers import UnCLIPScheduler
from .test_schedulers import SchedulerCommonTest
class __SCREAMING_SNAKE_CASE ( lowerCAmelCase_ ):
'''simple docstring'''
_a = (UnCLIPScheduler,)
def snake_case ( self : Tup... | 625 |
"""simple docstring"""
def snake_case__ ( __lowerCamelCase : int = 10 , __lowerCamelCase : int = 22 ):
"""simple docstring"""
lowerCamelCase__ : Optional[Any] =range(1 , __lowerCamelCase )
lowerCamelCase__ : str =range(1 , __lowerCamelCase )
... | 625 | 1 |
"""simple docstring"""
from __future__ import annotations
from collections.abc import Callable
from typing import Generic, TypeVar
_lowercase : Optional[int] = TypeVar("T")
_lowercase : List[str] = TypeVar("U")
class __SCREAMING_SNAKE_CASE ( Generic[T, U] ):
'''simple ... | 625 |
"""simple docstring"""
import collections
import tempfile
import unittest
import numpy as np
from transformers.testing_utils import (
is_pt_flax_cross_test,
require_flax,
require_torch,
require_vision,
slow,
torch_device,
)
from transformers.utils import is_flax_available, is_torch_a... | 625 | 1 |
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