






'''simple docstring'''





import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__A							:							List[Any]  							=		get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model""")
@require_sentencepiece
@require_tokenizers
class 				lowercase       (							_lowerCamelCase ,       unittest.TestCase      ):


				'''simple docstring'''

				lowerCAmelCase__      				=							GPTSwaTokenizer
				lowerCAmelCase__      				=							False
				lowerCAmelCase__      				=							True
				lowerCAmelCase__      				=							False

				def    a__				(					self     :     List[str]     )							->							Dict:

					'''simple docstring'''




					super().setUp()

					# We have a SentencePiece fixture for testing
					lowerCamelCase__  =     GPTSwaTokenizer(_lowerCAmelCase				,     eos_token="<unk>"				,     bos_token="<unk>"				,     pad_token="<unk>"     )

					tokenizer.save_pretrained(self.tmpdirname     )

				def    a__				(					self     :     Optional[int]				,     __lowerCamelCase     :     Tuple     )							->							Optional[Any]:

					'''simple docstring'''




					lowerCamelCase__  =     "This is a test"
					lowerCamelCase__  =     "This is a test"
					return input_text, output_text

				def    a__				(					self     :     int     )							->							List[Any]:

					'''simple docstring'''




					lowerCamelCase__  =     "<s>"
					lowerCamelCase__  =     1

					self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowerCAmelCase     )				,     _lowerCAmelCase     )
					self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowerCAmelCase     )				,     _lowerCAmelCase     )

				def    a__				(					self     :     List[str]     )							->							Tuple:

					'''simple docstring'''




					lowerCamelCase__  =     list(self.get_tokenizer().get_vocab().keys()     )

					self.assertEqual(vocab_keys[0]				,     "<unk>"     )
					self.assertEqual(vocab_keys[1]				,     "<s>"     )
					self.assertEqual(vocab_keys[-1]				,     "j"     )
					self.assertEqual(len(_lowerCAmelCase     )				,     2000     )

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

					'''simple docstring'''




					self.assertEqual(self.get_tokenizer().vocab_size				,     2000     )

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

					'''simple docstring'''




					lowerCamelCase__  =     GPTSwaTokenizer(_lowerCAmelCase     )

					lowerCamelCase__  =     tokenizer.tokenize("This is a test"     )
					self.assertListEqual(_lowerCAmelCase				,     ["▁This", "▁is", "▁a", "▁t", "est"]     )

					self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase     )				,     [465, 287, 265, 631, 842]     )

					lowerCamelCase__  =     tokenizer.tokenize("I was born in 92000, and this is falsé."     )
					# fmt: off
					self.assertListEqual(
					    _lowerCAmelCase				,     ["▁I", "▁was", "▁bor", "n", "▁in", "▁", "<0x39>", "2", "0", "0", "0", ",", "▁and", "▁this", "▁is", "▁f", "al", "s", "<0xC3>", "<0xA9>", "."]				,     )
					# fmt: on

					lowerCamelCase__  =     tokenizer.convert_tokens_to_ids(_lowerCAmelCase     )
					self.assertListEqual(
					    _lowerCAmelCase				,     [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]				,     )

					lowerCamelCase__  =     tokenizer.convert_ids_to_tokens(_lowerCAmelCase     )
					# fmt: off
					self.assertListEqual(
					    _lowerCAmelCase				,     ["▁I", "▁was", "▁bor", "n", "▁in", "▁", "<0x39>", "2", "0", "0", "0", ",", "▁and", "▁this", "▁is", "▁f", "al", "s", "<0xC3>", "<0xA9>", "."]     )
					# fmt: on

				def    a__				(					self     :     Union[str, Any]     )							->							Optional[Any]:

					'''simple docstring'''




					lowerCamelCase__  =     GPTSwaTokenizer(_lowerCAmelCase     )
					lowerCamelCase__  =     ["This is a test", "I was born in 92000, and this is falsé."]
					lowerCamelCase__  =     [
					    [465, 287, 265, 631, 842],
					    [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260],
					]

					# Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
					for text, expected_ids in zip(_lowerCAmelCase				,     _lowerCAmelCase     ):
						self.assertListEqual(tokenizer.encode_fast(_lowerCAmelCase     )				,     _lowerCAmelCase     )

					# Test that decode_fast returns the input text
					for text, token_ids in zip(_lowerCAmelCase				,     _lowerCAmelCase     ):
						self.assertEqual(tokenizer.decode_fast(_lowerCAmelCase     )				,     _lowerCAmelCase     )




				@slow
				def    a__				(					self     :     Any     )							->							int:

					'''simple docstring'''




					lowerCamelCase__  =     [
					    "<|python|>def fibonacci(n)\n    if n < 0:\n        print('Incorrect input')",
					    "Hey there, how are you doing this fine day?",
					    "This is a text with a trailing spaces followed by a dot     .",
					    "Häj sväjs lillebrör! =)",
					    "Det är inget fel på Mr. Cool",
					]

					# fmt: off
					lowerCamelCase__  =     {"input_ids": [[63423, 5, 6811, 14954, 282, 816, 3821, 63466, 63425, 63462, 18, 63978, 678, 301, 1320, 63423, 63455, 63458, 18, 63982, 4246, 3940, 1901, 47789, 5547, 18994], [19630, 1100, 63446, 1342, 633, 544, 4488, 593, 5102, 2416, 63495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1652, 428, 268, 1936, 515, 268, 58593, 22413, 9106, 546, 268, 33213, 63979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [55130, 63450, 924, 63449, 2249, 4062, 1558, 318, 63504, 21498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2827, 2559, 332, 6575, 63443, 26801, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
					# fmt: on
					self.tokenizer_integration_test_util(
					    expected_encoding=_lowerCAmelCase				,     model_name="AI-Sweden/gpt-sw3-126m"				,     sequences=_lowerCAmelCase				,     )









'''simple docstring'''





from __future__ import annotations
class 				lowercase       :


    '''simple docstring'''

    def __init__(					self     :     Optional[int]				,     __lowerCamelCase     :     int     )							->							None:

     '''simple docstring'''




     lowerCamelCase__  =     order

     # a_{0} ... a_{k}
     lowerCamelCase__  =     [1.0] + [0.0] * order
     # b_{0} ... b_{k}
     lowerCamelCase__  =     [1.0] + [0.0] * order

     # x[n-1] ... x[n-k]
     lowerCamelCase__  =     [0.0] * self.order
     # y[n-1] ... y[n-k]
     lowerCamelCase__  =     [0.0] * self.order

    def    a__				(					self     :     Dict				,     __lowerCamelCase     :     list[float]				,     __lowerCamelCase     :     list[float]     )							->							None:

     '''simple docstring'''




     if len(__lowerCamelCase     ) < self.order:
      lowerCamelCase__  =     [1.0, *a_coeffs]

     if len(__lowerCamelCase     ) != self.order + 1:
      lowerCamelCase__  =     (
          f'''Expected a_coeffs to have {self.order + 1} elements '''
          f'''for {self.order}-order filter, got {len(__lowerCamelCase     )}'''
      )
      raise ValueError(__lowerCamelCase     )

     if len(__lowerCamelCase     ) != self.order + 1:
      lowerCamelCase__  =     (
          f'''Expected b_coeffs to have {self.order + 1} elements '''
          f'''for {self.order}-order filter, got {len(__lowerCamelCase     )}'''
      )
      raise ValueError(__lowerCamelCase     )

     lowerCamelCase__  =     a_coeffs
     lowerCamelCase__  =     b_coeffs




    def    a__				(					self     :     Dict				,     __lowerCamelCase     :     float     )							->							float:

     '''simple docstring'''




     lowerCamelCase__  =     0.0

     # Start at index 1 and do index 0 at the end.
     for i in range(1				,     self.order + 1     ):
      result += (
          self.b_coeffs[i] * self.input_history[i - 1]
          - self.a_coeffs[i] * self.output_history[i - 1]
      )

     lowerCamelCase__  =     (result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

     lowerCamelCase__  =     self.input_history[:-1]
     lowerCamelCase__  =     self.output_history[:-1]

     lowerCamelCase__  =     sample
     lowerCamelCase__  =     result

     return result

