




"""simple docstring"""





import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

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


				'''simple docstring'''


				_lowerCAmelCase				=GPTNeoXJapaneseTokenizer
				_lowerCAmelCase				=False
				_lowerCAmelCase				={"do_clean_text": False, "add_prefix_space": False}

				def       _lowerCamelCase					(   self   :     List[str]      ):
										super().setUp()

										snake_case__       :					List[Any]										=			[
										    '''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>''',
										    '''<|startoftext|>''',
										    '''<|endoftext|>''',
										]
										snake_case__       :					str										=			{'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
										snake_case__       :					int										=			{'''unk_token''': '''<unk>'''}

										snake_case__       :					Tuple										=			os.path.join(self.tmpdirname      ,VOCAB_FILES_NAMES['''vocab_file''']      )
										snake_case__       :					Optional[Any]										=			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(SCREAMING_SNAKE_CASE_      )      )

				def       _lowerCamelCase					(   self   :     Union[str, Any]      ,**SCREAMING_SNAKE_CASE_   :     Any      ):
										kwargs.update(self.special_tokens_map      )
										return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname      ,**SCREAMING_SNAKE_CASE_      )

				def       _lowerCamelCase					(   self   :     Union[str, Any]      ,SCREAMING_SNAKE_CASE_   :     List[Any]      ):
										snake_case__       :					Any										=			'''こんにちは、世界。 \nこんばんは、㔺界。😀'''
										snake_case__       :					List[str]										=			'''こんにちは、世界。 \nこんばんは、世界。😀'''
										return input_text, output_text

				def       _lowerCamelCase					(   self   :     Any      ,SCREAMING_SNAKE_CASE_   :     List[Any]      ):
										snake_case__       :					Union[str, Any]										=			self.get_input_output_texts(SCREAMING_SNAKE_CASE_      )
										snake_case__       :					Union[str, Any]										=			tokenizer.encode(SCREAMING_SNAKE_CASE_      ,add_special_tokens=SCREAMING_SNAKE_CASE_      )
										snake_case__       :					int										=			tokenizer.decode(SCREAMING_SNAKE_CASE_      ,clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE_      )
										return text, ids

				def       _lowerCamelCase					(   self   :     List[str]      ):
										pass  # TODO add if relevant

				def       _lowerCamelCase					(   self   :     str      ):
										pass  # TODO add if relevant

				def       _lowerCamelCase					(   self   :     Dict      ):
										pass  # TODO add if relevant

				def       _lowerCamelCase					(   self   :     List[str]      ):
										snake_case__       :					Dict										=			self.get_tokenizer()

										# Testing tokenization
										snake_case__       :					List[str]										=			'''こんにちは、世界。　こんばんは、㔺界。'''
										snake_case__       :					Optional[Any]										=			['''こん''', '''にちは''', '''、''', '''世界''', '''。''', '''<SP>''', '''こん''', '''ばんは''', '''、''', '''㔺界''', '''。''']
										snake_case__       :					str										=			tokenizer.tokenize(SCREAMING_SNAKE_CASE_      )
										self.assertListEqual(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      )

										# Testing conversion to ids without special tokens
										snake_case__       :					Dict										=			[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
										snake_case__       :					str										=			tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_      )
										self.assertListEqual(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      )

										# Testing conversion to ids with special tokens
										snake_case__       :					Optional[Any]										=			tokens + [tokenizer.unk_token]
										snake_case__       :					List[Any]										=			[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
										snake_case__       :					Optional[int]										=			tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_      )
										self.assertListEqual(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      )

				@slow
				def       _lowerCamelCase					(   self   :     List[Any]      ):
										snake_case__       :					Any										=			self.tokenizer_class.from_pretrained('''abeja/gpt-neox-japanese-2.7b'''      )

										snake_case__       :					int										=			tokenizer.encode('''ありがとう。'''      ,add_special_tokens=SCREAMING_SNAKE_CASE_      )
										snake_case__       :					Dict										=			tokenizer.encode('''どういたしまして。'''      ,add_special_tokens=SCREAMING_SNAKE_CASE_      )

										snake_case__       :					List[str]										=			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_      )
										snake_case__       :					Optional[Any]										=			tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_      )

										assert encoded_sentence == ids_a
										assert encoded_pair == ids_a + ids_a

				def       _lowerCamelCase					(   self   :     str      ):
										# Intentionally convert some words to accommodate character fluctuations unique to Japanese
										pass





				def       _lowerCamelCase					(   self   :     Dict      ):
										# tokenizer has no padding token
										pass








"""simple docstring"""





def 		lowerCAmelCase							( lowerCamelCase      ,			lowerCamelCase		):
						'''simple docstring'''


						snake_case__       :					Any										=					len(lowerCamelCase		)
						# Create a stack and push index of fist element to it
						snake_case__       :					str										=					[]
						st.append(0		)

						# Span value of first element is always 1
						snake_case__       :					Union[str, Any]										=					1

						# Calculate span values for rest of the elements
						for i in range(1      ,			lowerCamelCase		):
												# Pop elements from stack while stack is not
												# empty and top of stack is smaller than price[i]
												while len(lowerCamelCase		) > 0 and price[st[0]] <= price[i]:
																		st.pop()

												# If stack becomes empty, then price[i] is greater
												# than all elements on left of it, i.e. price[0],
												# price[1], ..price[i-1]. Else the price[i]  is
												# greater than elements after top of stack
												snake_case__       :					Dict										=					i + 1 if len(lowerCamelCase		) <= 0 else (i - st[0])

												# Push this element to stack
												st.append(lowerCamelCase		)

def 		lowerCAmelCase							( lowerCamelCase      ,			lowerCamelCase		):
						'''simple docstring'''


						for i in range(0      ,			lowerCamelCase		):
												print(arr[i]      ,			end=''' '''		)


# Driver program to test above function
_lowercase	      =    [10, 4, 5, 90, 1_20, 80]
_lowercase	      =    [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)

print_array(S, len(price))


