


"""simple docstring"""







from __future__ import annotations

import random

from matplotlib import animation
from matplotlib import pyplot as plt

# Frame rate of the animation
__a      			= 20

# Time between time steps in seconds
__a      			= INTERVAL / 10_00
class 				lowerCamelCase							:


							"""simple docstring"""






							def __init__(    self			:  List[Any]		,			lowerCamelCase_			:  float		,			lowerCamelCase_			:  float		,			lowerCamelCase_			:  float		,			lowerCamelCase_			:  float		,			lowerCamelCase_			:  float = 1.0		,			lowerCamelCase_			:  float = 1.0		,			lowerCamelCase_			:  str = "blue"		,			):
													UpperCAmelCase__												=     position_x
													UpperCAmelCase__												=     position_y
													UpperCAmelCase__												=     velocity_x
													UpperCAmelCase__												=     velocity_y
													UpperCAmelCase__												=     mass
													UpperCAmelCase__												=     size
													UpperCAmelCase__												=     color






							@property
							def        lowerCAmelCase  (    self			:  List[Any]					):
													return self.position_x, self.position_y






							@property
							def        lowerCAmelCase  (    self			:  int					):
													return self.velocity_x, self.velocity_y






							def        lowerCAmelCase  (    self			:  Union[str, Any]		,			lowerCamelCase_			:  float		,			lowerCamelCase_			:  float		,			lowerCamelCase_			:  float					):
													self.velocity_x += force_x * delta_time
													self.velocity_y += force_y * delta_time






							def        lowerCAmelCase  (    self			:  int		,			lowerCamelCase_			:  float					):
													self.position_x += self.velocity_x * delta_time
													self.position_y += self.velocity_y * delta_time




class 				lowerCamelCase							:


							"""simple docstring"""






							def __init__(    self			:  Union[str, Any]		,			lowerCamelCase_			:  list[Body]		,			lowerCamelCase_			:  float = 1.0		,			lowerCamelCase_			:  float = 1.0		,			lowerCamelCase_			:  float = 0.0		,			):
													UpperCAmelCase__												=     bodies
													UpperCAmelCase__												=     gravitation_constant
													UpperCAmelCase__												=     time_factor
													UpperCAmelCase__												=     softening_factor






							def __len__(    self			:  Dict					):
													return len(self.bodies					)






							def        lowerCAmelCase  (    self			:  List[Any]		,			lowerCamelCase_			:  float					):
													for bodya in self.bodies:
																			UpperCAmelCase__												=     0.0
																			UpperCAmelCase__												=     0.0
																			for bodya in self.bodies:
																									if bodya != bodya:
																															UpperCAmelCase__												=     bodya.position_x - bodya.position_x
																															UpperCAmelCase__												=     bodya.position_y - bodya.position_y

																															# Calculation of the distance using Pythagoras's theorem
																															# Extra factor due to the softening technique
																															UpperCAmelCase__												=     (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(lowerCamelCase_		,			lowerCamelCase_		,			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        a__			(							_UpperCamelCase						,      _UpperCamelCase						,      _UpperCamelCase			):





						"""simple docstring"""

						body_system.update_system(_UpperCamelCase			)

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






def        a__			(							_UpperCamelCase						,      _UpperCamelCase						,      _UpperCamelCase = -1						,      _UpperCamelCase = 1						,      _UpperCamelCase = -1						,      _UpperCamelCase = 1						,      ):





						"""simple docstring"""

						UpperCAmelCase__												=     plt.figure()
						fig.canvas.set_window_title(_UpperCamelCase			)
						UpperCAmelCase__												=     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
						UpperCAmelCase__												=     [
						    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(_UpperCamelCase			)

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

						UpperCAmelCase__												=     animation.FuncAnimation(  # noqa: F841
						    _UpperCamelCase						,      _UpperCamelCase						,      interval=_UpperCamelCase						,      blit=_UpperCamelCase			)

						plt.show()






def        a__			(							):





						"""simple docstring"""

						UpperCAmelCase__												=     0.9700436
						UpperCAmelCase__												=     -0.24308753
						UpperCAmelCase__												=     0.466203685
						UpperCAmelCase__												=     0.43236573

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






def        a__			(							):





						"""simple docstring"""

						UpperCAmelCase__												=     7.3_4_7_6E2_2
						UpperCAmelCase__												=     5.9_7_2E2_4
						UpperCAmelCase__												=     1022
						UpperCAmelCase__												=     384399000
						UpperCAmelCase__												=     6.6_7_4E-1_1

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

						UpperCAmelCase__												=     Body(-earth_moon_distance						,      0						,      0						,      _UpperCamelCase						,      _UpperCamelCase						,      10000000						,      '''grey'''			)
						UpperCAmelCase__												=     Body(0						,      0						,      0						,      _UpperCamelCase						,      _UpperCamelCase						,      50000000						,      '''blue'''			)
						return BodySystem([earth, moon]						,      _UpperCamelCase						,      time_factor=1000000			)






def        a__			(							):





						"""simple docstring"""

						UpperCAmelCase__												=     []
						for _ in range(10			):
												UpperCAmelCase__												=     random.uniform(-0.5						,      0.5			)
												UpperCAmelCase__												=     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			)						,      _UpperCamelCase						,      _UpperCamelCase						,      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(_UpperCamelCase						,      0.01						,      10						,      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(),
						    -4_30_00_00_00,
						    4_30_00_00_00,
						    -4_30_00_00_00,
						    4_30_00_00_00,
						)
						plot("Random system with many bodies", example_a(), -1.5, 1.5, -1.5, 1.5)



"""simple docstring"""







import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation


__a      			= logging.get_logger(__name__)

__a      			= {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

__a      			= {
    "vocab_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt"
        ),
    },
}

__a      			= {
    "microsoft/deberta-base": 5_12,
    "microsoft/deberta-large": 5_12,
    "microsoft/deberta-xlarge": 5_12,
    "microsoft/deberta-base-mnli": 5_12,
    "microsoft/deberta-large-mnli": 5_12,
    "microsoft/deberta-xlarge-mnli": 5_12,
}

__a      			= {
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}
class 				lowerCamelCase							(      __SCREAMING_SNAKE_CASE			):


							"""simple docstring"""
							SCREAMING_SNAKE_CASE              =   VOCAB_FILES_NAMES
							SCREAMING_SNAKE_CASE              =   PRETRAINED_VOCAB_FILES_MAP
							SCREAMING_SNAKE_CASE              =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							SCREAMING_SNAKE_CASE              =   ["""input_ids""", """attention_mask""", """token_type_ids"""]
							SCREAMING_SNAKE_CASE              =   DebertaTokenizer






							def __init__(    self			:  Dict		,			lowerCamelCase_			:  Dict=None		,			lowerCamelCase_			:  Union[str, Any]=None		,			lowerCamelCase_			:  Tuple=None		,			lowerCamelCase_			:  Dict="replace"		,			lowerCamelCase_			:  List[Any]="[CLS]"		,			lowerCamelCase_			:  Optional[Any]="[SEP]"		,			lowerCamelCase_			:  List[Any]="[SEP]"		,			lowerCamelCase_			:  str="[CLS]"		,			lowerCamelCase_			:  List[str]="[UNK]"		,			lowerCamelCase_			:  Any="[PAD]"		,			lowerCamelCase_			:  Tuple="[MASK]"		,			lowerCamelCase_			:  List[str]=False		,			**lowerCamelCase_			:  List[str]		,			):
													super().__init__(
													    lowerCamelCase_		,			lowerCamelCase_		,			tokenizer_file=lowerCamelCase_		,			errors=lowerCamelCase_		,			bos_token=lowerCamelCase_		,			eos_token=lowerCamelCase_		,			unk_token=lowerCamelCase_		,			sep_token=lowerCamelCase_		,			cls_token=lowerCamelCase_		,			pad_token=lowerCamelCase_		,			mask_token=lowerCamelCase_		,			add_prefix_space=lowerCamelCase_		,			**lowerCamelCase_		,			)
													UpperCAmelCase__												=     kwargs.pop('''add_bos_token'''		,			lowerCamelCase_					)

													UpperCAmelCase__												=     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
													if pre_tok_state.get('''add_prefix_space'''		,			lowerCamelCase_					) != add_prefix_space:
																			UpperCAmelCase__												=     getattr(lowerCamelCase_		,			pre_tok_state.pop('''type'''					)					)
																			UpperCAmelCase__												=     add_prefix_space
																			UpperCAmelCase__												=     pre_tok_class(**lowerCamelCase_					)

													UpperCAmelCase__												=     add_prefix_space






							@property
							def        lowerCAmelCase  (    self			:  int					):
													if self._mask_token is None:
																			if self.verbose:
																									logger.error('''Using mask_token, but it is not set yet.'''					)
																			return None
													return str(self._mask_token					)






							@mask_token.setter
							def        lowerCAmelCase  (    self			:  Union[str, Any]		,			lowerCamelCase_			:  Union[str, Any]					):
													UpperCAmelCase__												=     AddedToken(lowerCamelCase_		,			lstrip=lowerCamelCase_		,			rstrip=lowerCamelCase_					) if isinstance(lowerCamelCase_		,			lowerCamelCase_					) else value
													UpperCAmelCase__												=     value






							def        lowerCAmelCase  (    self			:  int		,			lowerCamelCase_			:  List[int]		,			lowerCamelCase_			:  Optional[List[int]] = None					):
													if token_ids_a is None:
																			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
													UpperCAmelCase__												=     [self.cls_token_id]
													UpperCAmelCase__												=     [self.sep_token_id]
													return cls + token_ids_a + sep + token_ids_a + sep






							def        lowerCAmelCase  (    self			:  Optional[Any]		,			lowerCamelCase_			:  List[int]		,			lowerCamelCase_			:  Optional[List[int]] = None					):
													UpperCAmelCase__												=     [self.sep_token_id]
													UpperCAmelCase__												=     [self.cls_token_id]

													if token_ids_a is None:
																			return len(cls + token_ids_a + sep					) * [0]
													return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]






							def        lowerCAmelCase  (    self			:  Tuple		,			*lowerCamelCase_			:  Optional[int]		,			**lowerCamelCase_			:  Union[str, Any]					):
													UpperCAmelCase__												=     kwargs.get('''is_split_into_words'''		,			lowerCamelCase_					)
													assert self.add_prefix_space or not is_split_into_words, (
													    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
													    "to use it with pretokenized inputs."
													)

													return super()._batch_encode_plus(*lowerCamelCase_		,			**lowerCamelCase_					)






							def        lowerCAmelCase  (    self			:  Tuple		,			*lowerCamelCase_			:  str		,			**lowerCamelCase_			:  Any					):
													UpperCAmelCase__												=     kwargs.get('''is_split_into_words'''		,			lowerCamelCase_					)

													assert self.add_prefix_space or not is_split_into_words, (
													    f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
													    "to use it with pretokenized inputs."
													)

													return super()._encode_plus(*lowerCamelCase_		,			**lowerCamelCase_					)






							def        lowerCAmelCase  (    self			:  Dict		,			lowerCamelCase_			:  str		,			lowerCamelCase_			:  Optional[str] = None					):
													UpperCAmelCase__												=     self._tokenizer.model.save(lowerCamelCase_		,			name=lowerCamelCase_					)
													return tuple(lowerCamelCase_					)






							def        lowerCAmelCase  (    self			:  Optional[Any]		,			lowerCamelCase_			:  "Conversation"					):
													UpperCAmelCase__												=     []
													for is_user, text in conversation.iter_texts():
																			input_ids.extend(self.encode(lowerCamelCase_		,			add_special_tokens=lowerCamelCase_					) + [self.eos_token_id]					)

													if len(lowerCamelCase_					) > self.model_max_length:
																			UpperCAmelCase__												=     input_ids[-self.model_max_length :]
													return input_ids