





from collections import namedtuple

UpperCAmelCase__  :	Union[str, Any]     =namedtuple('''from_to''', '''from_ to''')

UpperCAmelCase__  :	Any     ={
    '''millimeter''': '''mm''',
    '''centimeter''': '''cm''',
    '''meter''': '''m''',
    '''kilometer''': '''km''',
    '''inch''': '''in''',
    '''inche''': '''in''',  # Trailing 's' has been stripped off
    '''feet''': '''ft''',
    '''foot''': '''ft''',
    '''yard''': '''yd''',
    '''mile''': '''mi''',
}

UpperCAmelCase__  :	Union[str, Any]     ={
    '''mm''': from_to(0.001, 10_00),
    '''cm''': from_to(0.01, 1_00),
    '''m''': from_to(1, 1),
    '''km''': from_to(10_00, 0.001),
    '''in''': from_to(0.0_254, 39.3_701),
    '''ft''': from_to(0.3_048, 3.28_084),
    '''yd''': from_to(0.9_144, 1.09_361),
    '''mi''': from_to(1_609.34, 0.000_621_371),
}





def    _lowercase    (  _UpperCAmelCase	,					_UpperCAmelCase	,					_UpperCAmelCase )  ->     float:
				lowerCamelCase		       =from_type.lower().rstrip("""s""" )
				lowerCamelCase		       =TYPE_CONVERSION.get(_UpperCAmelCase	,					_UpperCAmelCase )
				lowerCamelCase		       =to_type.lower().rstrip("""s""" )
				lowerCamelCase		       =TYPE_CONVERSION.get(_UpperCAmelCase	,					_UpperCAmelCase )
				if new_from not in METRIC_CONVERSION:
								lowerCamelCase		       =(
								    F"""Invalid 'from_type' value: {from_type!r}.\n"""
								    F"""Conversion abbreviations are: {", ".join(_UpperCAmelCase )}"""
								)
								raise ValueError(_UpperCAmelCase )
				if new_to not in METRIC_CONVERSION:
								lowerCamelCase		       =(
								    F"""Invalid 'to_type' value: {to_type!r}.\n"""
								    F"""Conversion abbreviations are: {", ".join(_UpperCAmelCase )}"""
								)
								raise ValueError(_UpperCAmelCase )
				return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
							import doctest

							doctest.testmod()












from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available

@dataclass
class 					__A   (  a			):
				__A            = 42


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
							from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
							from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline





