




import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class     UpperCamelCase_   (			UpperCAmelCase__		, unittest.TestCase					):

    '''simple docstring'''






    UpperCAmelCase__							  =				MgpstrTokenizer
    UpperCAmelCase__							  =				False
    UpperCAmelCase__							  =				{}
    UpperCAmelCase__							  =				False


    def 	SCREAMING_SNAKE_CASE							(      self				:     int)						->List[str]:





           '''simple docstring'''

           super().setUp()

           # fmt: off
           A__							=   ['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
           # fmt: on
           A__							=   dict(zip(UpperCAmelCase__ ,			range(len(UpperCAmelCase__))))

           A__							=   os.path.join(self.tmpdirname ,			VOCAB_FILES_NAMES['''vocab_file'''])
           with open(self.vocab_file ,			'''w''' ,			encoding='''utf-8''') as fp:
                  fp.write(json.dumps(UpperCAmelCase__) + '''\n''')


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str] ,			**UpperCAmelCase__				:     Optional[Any])						->Dict:





           '''simple docstring'''

           return MgpstrTokenizer.from_pretrained(self.tmpdirname ,			**UpperCAmelCase__)


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int] ,			UpperCAmelCase__				:     Any)						->Dict:





           '''simple docstring'''

           A__							=   '''tester'''
           A__							=   '''tester'''
           return input_text, output_text


    @unittest.skip('''MGP-STR always lower cases letters.''')
    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str])						->Any:





           '''simple docstring'''

           pass


    def 	SCREAMING_SNAKE_CASE							(      self				:     Union[str, Any])						->Dict:





           '''simple docstring'''

           A__							=   self.get_tokenizers(do_lower_case=UpperCAmelCase__)
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         A__							=   '''[SPECIAL_TOKEN]'''

                         tokenizer.add_special_tokens({'''cls_token''': special_token})
                         A__							=   tokenizer.encode([special_token] ,			add_special_tokens=UpperCAmelCase__)
                         self.assertEqual(len(UpperCAmelCase__) ,			1)

                         A__							=   tokenizer.decode(UpperCAmelCase__ ,			skip_special_tokens=UpperCAmelCase__)
                         self.assertTrue(special_token not in decoded)


    def 	SCREAMING_SNAKE_CASE							(      self				:     int)						->Dict:





           '''simple docstring'''

           A__							=   self.get_tokenizers()
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         A__			,							A__							=   self.get_input_output_texts(UpperCAmelCase__)

                         A__							=   tokenizer.tokenize(UpperCAmelCase__)
                         A__							=   tokenizer.convert_tokens_to_ids(UpperCAmelCase__)
                         A__							=   tokenizer.encode(UpperCAmelCase__ ,			add_special_tokens=UpperCAmelCase__)
                         self.assertListEqual(UpperCAmelCase__ ,			UpperCAmelCase__)

                         A__							=   tokenizer.convert_ids_to_tokens(UpperCAmelCase__)
                         self.assertNotEqual(len(UpperCAmelCase__) ,			0)
                         A__							=   tokenizer.decode(UpperCAmelCase__)
                         self.assertIsInstance(UpperCAmelCase__ ,			UpperCAmelCase__)

                         self.assertEqual(text_a.replace(''' ''' ,			'''''') ,			UpperCAmelCase__)


    @unittest.skip('''MGP-STR tokenizer only handles one sequence.''')
    def 	SCREAMING_SNAKE_CASE							(      self				:     List[Any])						->int:





           '''simple docstring'''

           pass





    @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer''')
    def 	SCREAMING_SNAKE_CASE							(      self				:     Any)						->int:





           '''simple docstring'''

           pass








from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np


class     UpperCamelCase_   (			UpperCAmelCase__					):

    '''simple docstring'''






    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int] ,			UpperCAmelCase__				:     float)						->float:





           '''simple docstring'''

           return 0.0







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



       """simple docstring"""

       A__							=   min([-20, np.min(fft_results[1 : samplerate // 2 - 1]						)]						)
       A__							=   max([20, np.max(fft_results[1 : samplerate // 2 - 1]						)]						)
       return lowest, highest







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_						)       ->	None:



       """simple docstring"""

       A__							=   512
       A__							=   [1] + [0] * (size - 1)
       A__							=   [filter_type.process(lowercase_						) for item in inputs]

       A__							=   [0] * (samplerate - size)  # zero-padding
       outputs += filler
       A__							=   np.abs(np.fft.fft(lowercase_						)						)
       A__							=   20 * np.logaa(lowercase_						)

       # 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
       A__							=   get_bounds(lowercase_			,    lowercase_						)
       plt.ylim(max([-80, bounds[0]]						)			,    min([80, bounds[1]]						)						)
       plt.ylabel('''Gain (dB)'''						)

       plt.plot(lowercase_						)
       plt.show()







def SCREAMING_SNAKE_CASE    (	lowercase_			,    lowercase_						)       ->	None:



       """simple docstring"""

       A__							=   512
       A__							=   [1] + [0] * (size - 1)
       A__							=   [filter_type.process(lowercase_						) for item in inputs]

       A__							=   [0] * (samplerate - size)  # zero-padding
       outputs += filler
       A__							=   np.angle(np.fft.fft(lowercase_						)						)

       # 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(lowercase_			,    -2 * pi						)						)
       plt.show()


