


"""simple docstring"""







from __future__ import annotations

import math
from collections.abc import Callable




def        UpperCAmelCase__	(lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_ = 100  ,						):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    x_start
					__SCREAMING_SNAKE_CASE						       =    fnc(UpperCamelCase__       )
					__SCREAMING_SNAKE_CASE						       =    0.0

					for _ in range(UpperCamelCase__       ):
										# Approximates curve as a sequence of linear lines and sums their length
										__SCREAMING_SNAKE_CASE						       =    (x_end - x_start) / steps + xa
										__SCREAMING_SNAKE_CASE						       =    fnc(UpperCamelCase__       )
										length += math.hypot(xa - xa  ,						fxa - fxa       )

										# Increment step
										__SCREAMING_SNAKE_CASE						       =    xa
										__SCREAMING_SNAKE_CASE						       =    fxa

					return length


if __name__ == "__main__":




		def        UpperCAmelCase__	(lowerCAmelCase_       ):




							'''simple docstring'''


							return math.sin(10 * x       )

		print('''f(x) = sin(10 * x)''')
		print('''The length of the curve from x = -10 to x = 10 is:''')
		a__    :							Optional[Any]            =					1_0
		while i <= 1_0_0_0_0_0:
				print(F"With {i} steps: {line_length(f, -1_0, 1_0, i)}")
				i *= 1_0




"""simple docstring"""







from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
		if not (is_transformers_available() and is_torch_available()):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
		from .pipeline_kandinsky import KandinskyPipeline
		from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
		from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
		from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
		from .text_encoder import MultilingualCLIP
