






"""simple docstring"""




from __future__ import annotations

import random

from matplotlib import animation
from matplotlib import pyplot as plt

# Frame rate of the animation
__a :    Dict								=				20

# Time between time steps in seconds
__a :    Union[str, Any]								=				INTERVAL / 1000


class  __lowercase :







     '''simple docstring'''




     def __init__(			self    :     Dict	,		UpperCamelCase_    :     float	,		UpperCamelCase_    :     float	,		UpperCamelCase_    :     float	,		UpperCamelCase_    :     float	,		UpperCamelCase_    :     float = 1.0	,		UpperCamelCase_    :     float = 1.0	,		UpperCamelCase_    :     str = "blue"	,		):


         """simple docstring"""



         __A             =		position_x
         __A             =		position_y
         __A             =		velocity_x
         __A             =		velocity_y
         __A             =		mass
         __A             =		size
         __A             =		color




     @property
     def 						lowerCAmelCase_       (			self    :     Union[str, Any]			):


         """simple docstring"""



         return self.position_x, self.position_y




     @property
     def 						lowerCAmelCase_       (			self    :     int			):


         """simple docstring"""



         return self.velocity_x, self.velocity_y




     def 						lowerCAmelCase_       (			self    :     Optional[int]	,		UpperCamelCase_    :     float	,		UpperCamelCase_    :     float	,		UpperCamelCase_    :     float			):


         """simple docstring"""



         self.velocity_x += force_x * delta_time
         self.velocity_y += force_y * delta_time





     def 						lowerCAmelCase_       (			self    :     List[str]	,		UpperCamelCase_    :     float			):


         """simple docstring"""



         self.position_x += self.velocity_x * delta_time
         self.position_y += self.velocity_y * delta_time


class  __lowercase :







     '''simple docstring'''




     def __init__(			self    :     List[str]	,		UpperCamelCase_    :     list[Body]	,		UpperCamelCase_    :     float = 1.0	,		UpperCamelCase_    :     float = 1.0	,		UpperCamelCase_    :     float = 0.0	,		):


         """simple docstring"""



         __A             =		bodies
         __A             =		gravitation_constant
         __A             =		time_factor
         __A             =		softening_factor




     def __len__(			self    :     Any			):


         """simple docstring"""



         return len(self.bodies			)





     def 						lowerCAmelCase_       (			self    :     Tuple	,		UpperCamelCase_    :     float			):


         """simple docstring"""



         for bodya in self.bodies:
             __A             =		0.0
             __A             =		0.0
             for bodya in self.bodies:
                 if bodya != bodya:
                     __A             =		bodya.position_x - bodya.position_x
                     __A             =		bodya.position_y - bodya.position_y

                     # Calculation of the distance using Pythagoras's theorem
                     # Extra factor due to the softening technique
                     __A             =		(dif_x**2 + dif_y**2 + self.softening_factor) ** (
                         1 / 2
                     )

                     # Newton's law of universal gravitation.
                     force_x += (
                         self.gravitation_constant * bodya.mass * dif_x / distance**3
                     )
                     force_y += (
                         self.gravitation_constant * bodya.mass * dif_y / distance**3
                     )

            # Update the body's velocity once all the force components have been added
             bodya.update_velocity(__UpperCamelCase	,		__UpperCamelCase	,		delta_time * self.time_factor			)

         # Update the positions only after all the velocities have been updated
         for body in self.bodies:
             body.update_position(delta_time * self.time_factor			)



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     Optional[int]     ,			__lowercase				:     str     ,			__lowercase				:     int      )  -> str:





    """simple docstring"""

    body_system.update_system(__lowercase      )

    # Update the positions of the patches
    for patch, body in zip(__lowercase     ,			body_system.bodies      ):
        __A             =		(body.position_x, body.position_y)



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     Tuple     ,			__lowercase				:     int     ,			__lowercase				:     Optional[int] = -1     ,			__lowercase				:     Tuple = 1     ,			__lowercase				:     int = -1     ,			__lowercase				:     Tuple = 1     ,			)  -> Dict:





    """simple docstring"""

    __A             =		plt.figure()
    fig.canvas.set_window_title(__lowercase      )
    __A             =		plt.axes(
        xlim=(x_start, x_end)     ,			ylim=(y_start, y_end)      )  # Set section to be plotted
    plt.gca().set_aspect("""equal"""      )  # Fix aspect ratio

    # Each body is drawn as a patch by the plt-function
    __A             =		[
        plt.Circle((body.position_x, body.position_y)     ,			body.size     ,			fc=body.color      )
        for body in body_system.bodies
    ]

    for patch in patches:
        ax.add_patch(__lowercase      )

    # Function called at each step of the animation
    def update(__lowercase				:     Tuple      ) -> list[plt.Circle]:
        update_step(__lowercase     ,			__lowercase     ,			__lowercase      )
        return patches

    __A             =		animation.FuncAnimation(  # noqa: F841
        __lowercase     ,			__lowercase     ,			interval=__lowercase     ,			blit=__lowercase      )

    plt.show()



def      _SCREAMING_SNAKE_CASE  (	)  -> Optional[Any]:





    """simple docstring"""

    __A             =		0.9_700_436
    __A             =		-0.24_308_753
    __A             =		0.466_203_685
    __A             =		0.43_236_573

    __A             =		[
        Body(__lowercase     ,			__lowercase     ,			__lowercase     ,			__lowercase     ,			size=0.2     ,			color="""red"""      ),
        Body(-position_x     ,			-position_y     ,			__lowercase     ,			__lowercase     ,			size=0.2     ,			color="""green"""      ),
        Body(0     ,			0     ,			-2 * velocity_x     ,			-2 * velocity_y     ,			size=0.2     ,			color="""blue"""      ),
    ]
    return BodySystem(__lowercase     ,			time_factor=3      )



def      _SCREAMING_SNAKE_CASE  (	)  -> List[Any]:





    """simple docstring"""

    __A             =		7.3476E22
    __A             =		5.972E24
    __A             =		1_0_2_2
    __A             =		3_8_4_3_9_9_0_0_0
    __A             =		6.674E-11

    # Calculation of the respective velocities so that total impulse is zero,
    # i.e. the two bodies together don't move
    __A             =		earth_mass * velocity_dif / (earth_mass + moon_mass)
    __A             =		moon_velocity - velocity_dif

    __A             =		Body(-earth_moon_distance     ,			0     ,			0     ,			__lowercase     ,			__lowercase     ,			1_0_0_0_0_0_0_0     ,			"""grey"""      )
    __A             =		Body(0     ,			0     ,			0     ,			__lowercase     ,			__lowercase     ,			5_0_0_0_0_0_0_0     ,			"""blue"""      )
    return BodySystem([earth, moon]     ,			__lowercase     ,			time_factor=1_0_0_0_0_0_0      )



def      _SCREAMING_SNAKE_CASE  (	)  -> Any:





    """simple docstring"""

    __A             =		[]
    for _ in range(1_0      ):
        __A             =		random.uniform(-0.5     ,			0.5      )
        __A             =		random.uniform(-0.5     ,			0.5      )

        # Bodies are created pairwise with opposite velocities so that the
        # total impulse remains zero
        bodies.append(
            Body(
                random.uniform(-0.5     ,			0.5      )     ,			random.uniform(-0.5     ,			0.5      )     ,			__lowercase     ,			__lowercase     ,			size=0.05     ,			)      )
        bodies.append(
            Body(
                random.uniform(-0.5     ,			0.5      )     ,			random.uniform(-0.5     ,			0.5      )     ,			-velocity_x     ,			-velocity_y     ,			size=0.05     ,			)      )
    return BodySystem(__lowercase     ,			0.01     ,			1_0     ,			0.1      )


if __name__ == "__main__":
  plot("Figure-8 solution to the 3-body-problem", example_a(), -2, 2, -2, 2)
  plot(
      "Moon\'s orbit around the earth",
      example_a(),
      -430000000,
      430000000,
      -430000000,
      430000000,
  )
  plot("Random system with many bodies", example_a(), -1.5, 1.5, -1.5, 1.5)












# Copyright 2022 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
#
# 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.
import os
from typing import List



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     List[str]     ,			__lowercase				:     str      )  -> Optional[int]:





    """simple docstring"""

    if name != "training_function" and name != "main":
        raise ValueError(f"Incorrect function name passed: {name}, choose either 'main' or 'training_function'"      )
    __A      ,		__A             =		[], False
    for line in lines:
        if not found_start and f"def {name}" in line:
            __A             =		True
            good_lines.append(__lowercase      )
            continue
        if found_start:
            if name == "training_function" and "def main" in line:
                return good_lines
            if name == "main" and "if __name__" in line:
                return good_lines
            good_lines.append(__lowercase      )



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     List[str]      )  -> Optional[int]:





    """simple docstring"""

    return [line for line in lines if not line.lstrip().startswith("""#"""      ) and line != "\n"]






def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     str     ,			__lowercase				:     str     ,			__lowercase				:     bool     ,			__lowercase				:     str = None      )  -> List[Any]:





    """simple docstring"""

    with open(__lowercase     ,			"""r"""      ) as f:
        __A             =		f.readlines()
    with open(os.path.abspath(os.path.join("""examples"""     ,			"""nlp_example.py"""      )      )     ,			"""r"""      ) as f:
        __A             =		f.readlines()
    with open(__lowercase     ,			"""r"""      ) as f:
        __A             =		f.readlines()
    if secondary_filename is not None:
        with open(__lowercase     ,			"""r"""      ) as f:
            __A             =		f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
    if parser_only:
        __A             =		clean_lines(get_function_contents_by_name(__lowercase     ,			"""main"""      )      )
        __A             =		clean_lines(get_function_contents_by_name(__lowercase     ,			"""main"""      )      )
        __A             =		clean_lines(get_function_contents_by_name(__lowercase     ,			"""main"""      )      )
        if secondary_filename is not None:
            __A             =		clean_lines(get_function_contents_by_name(__lowercase     ,			"""main"""      )      )
    else:
        __A             =		clean_lines(get_function_contents_by_name(__lowercase     ,			"""training_function"""      )      )
        __A             =		clean_lines(get_function_contents_by_name(__lowercase     ,			"""training_function"""      )      )
        __A             =		clean_lines(get_function_contents_by_name(__lowercase     ,			"""training_function"""      )      )
        if secondary_filename is not None:
            __A             =		clean_lines(
                get_function_contents_by_name(__lowercase     ,			"""training_function"""      )      )

    __A             =		"""train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n"""

    # Specific code in our script that differs from the full version, aka what is new
    __A             =		[]
    __A             =		[]  # We keep track of the idxs just in case it's a repeated statement
    __A             =		iter(__lowercase      )
    for i in range(len(__lowercase      ) - 1      ):
        if i not in passed_idxs:
            __A             =		next(__lowercase      )
            if (line not in full_file_func) and (line.lstrip() != _dl_line):
                if "TESTING_MOCKED_DATALOADERS" not in line:
                    new_feature_code.append(__lowercase      )
                    passed_idxs.append(__lowercase      )
                else:
                    # Skip over the `config['num_epochs'] = 2` statement
                    __A             =		next(__lowercase      )

    # Extract out just the new parts from the full_file_training_func
    __A             =		[]
    __A             =		[]  # We keep track of the idxs just in case it's a repeated statement
    for i, line in enumerate(__lowercase      ):
        if i not in passed_idxs:
            if (line not in full_file_func) and (line.lstrip() != _dl_line):
                if "TESTING_MOCKED_DATALOADERS" not in line:
                    new_full_example_parts.append(__lowercase      )
                    passed_idxs.append(__lowercase      )

    # Finally, get the overall diff
    __A             =		[line for line in new_feature_code if line not in new_full_example_parts]
    if secondary_filename is not None:
        __A             =		[line for line in full_file_contents if line not in secondary_file_func]
        __A             =		[line for line in diff_from_example if line not in diff_from_two]

    return diff_from_example




