"""simple docstring"""
import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class   lowerCAmelCase_    (			__lowercase     ,    unittest.TestCase					):



    """simple docstring"""
    _lowerCAmelCase     :    List[Any]			  =						GPTSanJapaneseTokenizer
    _lowerCAmelCase     :    Optional[Any]			  =						False
    _lowerCAmelCase     :    Optional[int]			  =						{'''do_clean_text''': False, '''add_prefix_space''': False}

    def 		snake_case (				self    ):






          """simple docstring"""

          super().setUp()

          # fmt: off
          snake_case								=			["""こん""", """こんに""", """にちは""", """ばんは""", """世界,㔺界""", """、""", """。""", """<BR>""", """<SP>""", """<TAB>""", """<URL>""", """<EMAIL>""", """<TEL>""", """<DATE>""", """<PRICE>""", """<BLOCK>""", """<KIGOU>""", """<U2000U2BFF>""", """<|emoji1|>""", """<unk>""", """<|bagoftoken|>""", """<|endoftext|>"""]
          # fmt: on
          snake_case								=			{"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
          snake_case								=			{"""unk_token""": """<unk>"""}

          snake_case								=			os.path.join(self.tmpdirname		,    VOCAB_FILES_NAMES['vocab_file']    )
          snake_case								=			os.path.join(self.tmpdirname		,    VOCAB_FILES_NAMES['emoji_file']    )
          with open(self.vocab_file		,    'w'		,    encoding='utf-8'    ) as vocab_writer:
                vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]    )    )
          with open(self.emoji_file		,    'w'    ) as emoji_writer:
                emoji_writer.write(json.dumps(__a    )    )

    def 		snake_case (				self		,    **lowerCAmelCase    ):






          """simple docstring"""

          kwargs.update(self.special_tokens_map    )
          return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname		,    **__a    )

    def 		snake_case (				self		,    lowerCAmelCase    ):






          """simple docstring"""

          snake_case								=			"""こんにちは、世界。 \nこんばんは、㔺界。😀"""
          snake_case								=			"""こんにちは、世界。 \nこんばんは、世界。😀"""
          return input_text, output_text

    def 		snake_case (				self		,    lowerCAmelCase    ):






          """simple docstring"""

          snake_case								=			self.get_input_output_texts(__a    )
          snake_case								=			tokenizer.encode(__a		,    add_special_tokens=__a    )
          snake_case								=			tokenizer.decode(__a		,    clean_up_tokenization_spaces=__a    )
          return text, ids

    def 		snake_case (				self    ):






          """simple docstring"""

          pass  # TODO add if relevant

    def 		snake_case (				self    ):






          """simple docstring"""

          pass  # TODO add if relevant

    def 		snake_case (				self    ):






          """simple docstring"""

          pass  # TODO add if relevant

    def 		snake_case (				self    ):






          """simple docstring"""

          snake_case								=			self.get_tokenizer()

          # Testing tokenization
          snake_case								=			"""こんにちは、世界。　こんばんは、㔺界。"""
          snake_case								=			["""こん""", """にちは""", """、""", """世界""", """。""", """<SP>""", """こん""", """ばんは""", """、""", """㔺界""", """。"""]
          snake_case								=			tokenizer.tokenize(__a    )
          self.assertListEqual(__a		,    __a    )

          # Testing conversion to ids without special tokens
          snake_case								=			[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
          snake_case								=			tokenizer.convert_tokens_to_ids(__a    )
          self.assertListEqual(__a		,    __a    )

          # Testing conversion to ids with special tokens
          snake_case								=			tokens + [tokenizer.unk_token]
          snake_case								=			[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
          snake_case								=			tokenizer.convert_tokens_to_ids(__a    )
          self.assertListEqual(__a		,    __a    )

    def 		snake_case (				self    ):






          """simple docstring"""

          snake_case								=			self.get_tokenizer()

          # Testing tokenization
          snake_case								=			"""こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"""
          snake_case								=			"""こんにちは、、、、世界。こんばんは、、、、世界。"""
          snake_case								=			tokenizer.encode(__a    )
          snake_case								=			tokenizer.decode(__a    )
          self.assertEqual(__a		,    __a    )

    @slow
    def 		snake_case (				self    ):






          """simple docstring"""

          snake_case								=			self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'    )

          # Testing tokenization
          snake_case								=			"""こんにちは、世界。"""
          snake_case								=			"""こんばんは、㔺界。😀"""
          snake_case								=			"""こんにちは、世界。こんばんは、世界。😀"""
          snake_case								=			tokenizer.encode(prefix_text + input_text    )
          snake_case								=			tokenizer.encode(''		,    prefix_text=prefix_text + input_text    )
          snake_case								=			tokenizer.encode(__a		,    prefix_text=__a    )
          snake_case								=			tokenizer.decode(__a    )
          snake_case								=			tokenizer.decode(__a    )
          snake_case								=			tokenizer.decode(__a    )
          self.assertEqual(__a		,    __a    )
          self.assertEqual(__a		,    __a    )
          self.assertEqual(__a		,    __a    )

    @slow
    def 		snake_case (				self    ):






          """simple docstring"""

          snake_case								=			self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'    )

          # Testing tokenization
          snake_case								=			"""こんにちは、世界。"""
          snake_case								=			"""こんばんは、㔺界。😀"""

          snake_case								=			len(tokenizer.encode(__a    )    ) - 2
          snake_case								=			len(tokenizer.encode(__a    )    ) - 2

          snake_case								=			[1] + [0] * (len_prefix + len_text + 1)
          snake_case								=			[1] * (len_prefix + len_text + 1) + [0]
          snake_case								=			[1] + [1] * (len_prefix) + [0] * (len_text + 1)

          snake_case								=			tokenizer(prefix_text + input_text    ).token_type_ids
          snake_case								=			tokenizer(''		,    prefix_text=prefix_text + input_text    ).token_type_ids
          snake_case								=			tokenizer(__a		,    prefix_text=__a    ).token_type_ids
          self.assertListEqual(__a		,    __a    )
          self.assertListEqual(__a		,    __a    )
          self.assertListEqual(__a		,    __a    )

    @slow
    def 		snake_case (				self    ):






          """simple docstring"""

          snake_case								=			self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'    )

          snake_case								=			tokenizer.encode('あンいワ'    )
          snake_case								=			tokenizer.encode(''		,    prefix_text='あンいワ'    )
          snake_case								=			tokenizer.encode('いワ'		,    prefix_text='あン'    )

          self.assertEqual(tokenizer.decode(__a    )		,    tokenizer.decode(__a    )    )
          self.assertEqual(tokenizer.decode(__a    )		,    tokenizer.decode(__a    )    )
          self.assertNotEqual(__a		,    __a    )
          self.assertNotEqual(__a		,    __a    )
          self.assertEqual(x_token_a[1]		,    x_token_a[-1]    )  # SEG token
          self.assertEqual(x_token_a[1]		,    x_token_a[3]    )  # SEG token

    @slow
    def 		snake_case (				self    ):






          """simple docstring"""

          snake_case								=			self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese'    )

          snake_case								=			[["""武田信玄""", """は、"""], ["""織田信長""", """の配下の、"""]]
          snake_case								=			tokenizer(__a		,    padding=__a    )
          snake_case								=			tokenizer.batch_encode_plus(__a		,    padding=__a    )

          # fmt: off
          snake_case								=			[[3_59_93, 86_40, 2_59_48, 3_59_98, 3_06_47, 3_56_75, 3_59_99, 3_59_99], [3_59_93, 1_03_82, 98_68, 3_59_98, 3_06_46, 94_59, 3_06_46, 3_56_75]]
          snake_case								=			[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
          snake_case								=			[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
          # fmt: on
          self.assertListEqual(x_token.input_ids		,    __a    )
          self.assertListEqual(x_token.token_type_ids		,    __a    )
          self.assertListEqual(x_token.attention_mask		,    __a    )
          self.assertListEqual(x_token_a.input_ids		,    __a    )
          self.assertListEqual(x_token_a.token_type_ids		,    __a    )
          self.assertListEqual(x_token_a.attention_mask		,    __a    )

    def 		snake_case (				self    ):






          """simple docstring"""

          pass

    def 		snake_case (				self    ):






          """simple docstring"""

          pass



"""simple docstring"""
class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""
				pass





class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""
				pass





class   lowerCAmelCase_    :



				"""simple docstring"""

				def __init__(				self    ):






										"""simple docstring"""

										snake_case								=			[
										    [],
										    [],
										    [],
										]

				def 		snake_case (				self		,    lowerCAmelCase		,    lowerCAmelCase    ):






										"""simple docstring"""

										try:
																if len(self.queues[priority]    ) >= 1_00:
																						raise OverflowError('Maximum queue size is 100'    )
																self.queues[priority].append(lowerCAmelCase    )
										except IndexError:
																raise ValueError('Valid priorities are 0, 1, and 2'    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										for queue in self.queues:
																if queue:
																						return queue.pop(0    )
										raise UnderFlowError('All queues are empty'    )

				def __str__(				self    ):






										"""simple docstring"""

										return "\n".join(F"""Priority {i}: {q}""" for i, q in enumerate(self.queues    )    )





class   lowerCAmelCase_    :



				"""simple docstring"""

				def __init__(				self    ):






										"""simple docstring"""

										snake_case								=			[]

				def 		snake_case (				self		,    lowerCAmelCase    ):






										"""simple docstring"""

										if len(self.queue    ) == 1_00:
																raise OverFlowError('Maximum queue size is 100'    )
										self.queue.append(lowerCAmelCase    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										if not self.queue:
																raise UnderFlowError('The queue is empty'    )
										else:
																snake_case								=			min(self.queue    )
																self.queue.remove(lowerCAmelCase    )
																return data

				def __str__(				self    ):






										"""simple docstring"""

										return str(self.queue    )





def    lowerCAmelCase__    (			)					->				int:





						"""simple docstring"""






						snake_case								=			FixedPriorityQueue()
						fpq.enqueue(0 ,			1_0					)
						fpq.enqueue(1 ,			7_0					)
						fpq.enqueue(0 ,			1_0_0					)
						fpq.enqueue(2 ,			1					)
						fpq.enqueue(2 ,			5					)
						fpq.enqueue(1 ,			7					)
						fpq.enqueue(2 ,			4					)
						fpq.enqueue(1 ,			6_4					)
						fpq.enqueue(0 ,			1_2_8					)
						print(_UpperCamelCase					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(_UpperCamelCase					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)





def    lowerCAmelCase__    (			)					->				List[str]:





						"""simple docstring"""






						snake_case								=			ElementPriorityQueue()
						epq.enqueue(1_0					)
						epq.enqueue(7_0					)
						epq.enqueue(1_0_0					)
						epq.enqueue(1					)
						epq.enqueue(5					)
						epq.enqueue(7					)
						epq.enqueue(4					)
						epq.enqueue(6_4					)
						epq.enqueue(1_2_8					)
						print(_UpperCamelCase					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(_UpperCamelCase					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)


if __name__ == "__main__":
					fixed_priority_queue()
					element_priority_queue()


