

from __future__ import annotations

from collections import deque





class A__    :



 """simple docstring"""







 def __init__(		self :	Union[str, Any]     ,						A_ :	list[str]       ):






      '''simple docstring'''




      _lowerCAmelCase   :					list[dict]        =    []
      self.adlist.append(
          {"value": "", "next_states": [], "fail_state": 0, "output": []}       )

      for keyword in keywords:
           self.add_keyword(A_       )
      self.set_fail_transitions()

 def    __magic_name__       (		self :	Union[str, Any]     ,						A_ :	int     ,						A_ :	str       ):






      '''simple docstring'''




      for state in self.adlist[current_state]["next_states"]:
           if char == self.adlist[state]["value"]:
                return state
      return None

 def    __magic_name__       (		self :	Optional[Any]     ,						A_ :	str       ):






      '''simple docstring'''




      _lowerCAmelCase   :					Optional[int]        =    0
      for character in keyword:
           _lowerCAmelCase   :					Tuple        =    self.find_next_state(A_     ,						A_       )
           if next_state is None:
                self.adlist.append(
                    {
                        "value": character,
                        "next_states": [],
                        "fail_state": 0,
                        "output": [],
                    }       )
                self.adlist[current_state]["next_states"].append(len(self.adlist       ) - 1       )
                _lowerCAmelCase   :					List[Any]        =    len(self.adlist       ) - 1
           else:
                _lowerCAmelCase   :					Any        =    next_state
      self.adlist[current_state]["output"].append(A_       )

 def    __magic_name__       (		self :	str       ):






      '''simple docstring'''




      _lowerCAmelCase   :					deque        =    deque()
      for node in self.adlist[0]["next_states"]:
           q.append(A_       )
           _lowerCAmelCase   :					Optional[int]        =    0
      while q:
           _lowerCAmelCase   :					str        =    q.popleft()
           for child in self.adlist[r]["next_states"]:
                q.append(A_       )
                _lowerCAmelCase   :					Optional[int]        =    self.adlist[r]["fail_state"]
                while (
                    self.find_next_state(A_     ,						self.adlist[child]["value"]       ) is None
                    and state != 0
                ):
                     _lowerCAmelCase   :					Optional[Any]        =    self.adlist[state]["fail_state"]
                _lowerCAmelCase   :					Optional[int]        =    self.find_next_state(
                    A_     ,						self.adlist[child]["value"]       )
                if self.adlist[child]["fail_state"] is None:
                     _lowerCAmelCase   :					Union[str, Any]        =    0
                _lowerCAmelCase   :					Any        =    (
                    self.adlist[child]["output"]
                    + self.adlist[self.adlist[child]["fail_state"]]["output"]
                )


 def    __magic_name__       (		self :	Optional[int]     ,						A_ :	str       ):






      '''simple docstring'''




      _lowerCAmelCase   :					dict        =    {}  # returns a dict with keywords and list of its occurrences
      _lowerCAmelCase   :					str        =    0
      for i in range(len(A_       )       ):
           while (
               self.find_next_state(A_     ,						string[i]       ) is None
               and current_state != 0
           ):
                _lowerCAmelCase   :					Optional[Any]        =    self.adlist[current_state]["fail_state"]
           _lowerCAmelCase   :					int        =    self.find_next_state(A_     ,						string[i]       )
           if next_state is None:
                _lowerCAmelCase   :					Optional[Any]        =    0
           else:
                _lowerCAmelCase   :					int        =    next_state
                for key in self.adlist[current_state]["output"]:
                     if key not in result:
                          _lowerCAmelCase   :					Optional[int]        =    []
                     result[key].append(i - len(A_       ) + 1       )
      return result


if __name__ == "__main__":
  import doctest

  doctest.testmod()





from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np





class A__    ( A ):



 """simple docstring"""







 def    __magic_name__       (		self :	List[Any]     ,						A_ :	float       ):






      '''simple docstring'''




      return 0.0







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)       ->      tuple[int | float, int | float]:

     """simple docstring"""







     _lowerCAmelCase   :					Union[str, Any]        =    min([-20, np.min(fft_results[1 : samplerate // 2 - 1]				)]				)
     _lowerCAmelCase   :					Optional[Any]        =    max([20, np.max(fft_results[1 : samplerate // 2 - 1]				)]				)
     return lowest, highest







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)       ->      None:

     """simple docstring"""







     _lowerCAmelCase   :					Any        =    512
     _lowerCAmelCase   :					Tuple        =    [1] + [0] * (size - 1)
     _lowerCAmelCase   :					Optional[Any]        =    [filter_type.process(SCREAMING_SNAKE_CASE				) for item in inputs]

     _lowerCAmelCase   :					Dict        =    [0] * (samplerate - size)  # zero-padding
     outputs += filler
     _lowerCAmelCase   :					Dict        =    np.abs(np.fft.fft(SCREAMING_SNAKE_CASE				)				)
     _lowerCAmelCase   :					str        =    20 * np.logaa(SCREAMING_SNAKE_CASE				)

     # Frequencies on log scale from 24 to nyquist frequency
     plt.xlim(24		,							samplerate / 2 - 1				)
     plt.xlabel("Frequency (Hz)"				)
     plt.xscale("log"				)

     # Display within reasonable bounds
     _lowerCAmelCase   :					Tuple        =    get_bounds(SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)
     plt.ylim(max([-80, bounds[0]]				)		,							min([80, bounds[1]]				)				)
     plt.ylabel("Gain (dB)"				)

     plt.plot(SCREAMING_SNAKE_CASE				)
     plt.show()







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)       ->      None:

     """simple docstring"""







     _lowerCAmelCase   :					Tuple        =    512
     _lowerCAmelCase   :					Tuple        =    [1] + [0] * (size - 1)
     _lowerCAmelCase   :					Dict        =    [filter_type.process(SCREAMING_SNAKE_CASE				) for item in inputs]

     _lowerCAmelCase   :					Tuple        =    [0] * (samplerate - size)  # zero-padding
     outputs += filler
     _lowerCAmelCase   :					Tuple        =    np.angle(np.fft.fft(SCREAMING_SNAKE_CASE				)				)

     # Frequencies on log scale from 24 to nyquist frequency
     plt.xlim(24		,							samplerate / 2 - 1				)
     plt.xlabel("Frequency (Hz)"				)
     plt.xscale("log"				)

     plt.ylim(-2 * pi		,							2 * pi				)
     plt.ylabel("Phase shift (Radians)"				)
     plt.plot(np.unwrap(SCREAMING_SNAKE_CASE		,							-2 * pi				)				)
     plt.show()






