



# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


snake_case     :    Optional[int]						=    {
    'agents': ['Agent', 'AzureOpenAiAgent', 'HfAgent', 'LocalAgent', 'OpenAiAgent'],
    'base': ['PipelineTool', 'RemoteTool', 'Tool', 'launch_gradio_demo', 'load_tool'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		snake_case     :    Optional[int]						=    ['DocumentQuestionAnsweringTool']
		snake_case     :    Optional[Any]						=    ['ImageCaptioningTool']
		snake_case     :    Any						=    ['ImageQuestionAnsweringTool']
		snake_case     :    str						=    ['ImageSegmentationTool']
		snake_case     :    int						=    ['SpeechToTextTool']
		snake_case     :    str						=    ['TextClassificationTool']
		snake_case     :    List[Any]						=    ['TextQuestionAnsweringTool']
		snake_case     :    Any						=    ['TextSummarizationTool']
		snake_case     :    str						=    ['TextToSpeechTool']
		snake_case     :    Tuple						=    ['TranslationTool']

if TYPE_CHECKING:
		from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
		from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .document_question_answering import DocumentQuestionAnsweringTool
				from .image_captioning import ImageCaptioningTool
				from .image_question_answering import ImageQuestionAnsweringTool
				from .image_segmentation import ImageSegmentationTool
				from .speech_to_text import SpeechToTextTool
				from .text_classification import TextClassificationTool
				from .text_question_answering import TextQuestionAnsweringTool
				from .text_summarization import TextSummarizationTool
				from .text_to_speech import TextToSpeechTool
				from .translation import TranslationTool
else:
		import sys

		snake_case     :    Tuple						=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




from itertools import compress, repeat
from math import ceil, sqrt
def 						snake_case__							(       __lowercase							)		->		list[int]:







						"""simple docstring"""

						if num <= 2:
												return []
						if num == 3:
												return [2]

						# Odd sieve for numbers in range [3, num - 1]
						A__						:				Dict         =			bytearray(b"\x01"							) * ((num >> 1) - 1)

						for i in range(3				,  int(sqrt(__lowercase							)							) + 1				,  2							):
												if sieve[(i >> 1) - 1]:
																		A__						:				int         =			i**2
																		A__						:				List[str]         =			repeat(
																		    0				,  ceil((num - i_squared) / (i << 1)							)							)

						return [2] + list(compress(range(3				,  __lowercase				,  2							)				,  __lowercase							)							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()