






"""simple docstring"""







def 						lowercase__(A ,		A ,		A						)    ->str:




						"""simple docstring"""



						lowercase__    :				List[Any]=	(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
						# formula for sum of series
						return total





def 						lowercase__()    ->Optional[int]:




						"""simple docstring"""



						print(sum_of_series(1 ,		1 ,		10						)						)


if __name__ == "__main__":
			import doctest

			doctest.testmod()














"""simple docstring"""







import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
			a			:    Optional[Any]				 =		"""pt"""
elif is_tf_available():
			a			:    Union[str, Any]				 =		"""tf"""
else:
			a			:    Any				 =		"""jax"""


class    __UpperCAmelCase(       SCREAMING_SNAKE_CASE__  ,  unittest.TestCase							):




						"""simple docstring"""




						__lowerCamelCase    	= PerceiverTokenizer
						__lowerCamelCase    	= False




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												super().setUp()
												lowercase__    :				str=	PerceiverTokenizer()
												tokenizer.save_pretrained(self.tmpdirname      )




						@cached_property
						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												return PerceiverTokenizer.from_pretrained("deepmind/language-perceiver"      )




						def 		UpperCAmelCase_	(       self	,  **snake_case__      ):
												'''simple docstring'''
												return self.tokenizer_class.from_pretrained(self.tmpdirname	,  **snake_case__      )




						def 		UpperCAmelCase_	(       self	,  snake_case__	,  snake_case__=False	,  snake_case__=20	,  snake_case__=5      ):
												'''simple docstring'''
												# XXX The default common tokenizer tests assume that every ID is decodable on its own.
												# This assumption is invalid for Perceiver because single bytes might not be
												# valid utf-8 (byte 128 for instance).
												# Here we're overriding the smallest possible method to provide
												# a clean sequence without making the same assumption.

												lowercase__    :				Union[str, Any]=	[]
												for i in range(len(snake_case__      )      ):
																		try:
																								lowercase__    :				Any=	tokenizer.decode([i]	,  clean_up_tokenization_spaces=snake_case__      )
																		except UnicodeDecodeError:
																								pass
																		toks.append((i, tok)      )

												lowercase__    :				int=	list(filter(lambda snake_case__      : re.match(r"^[ a-zA-Z]+$"	,  t[1]      )	,  snake_case__      )      )
												lowercase__    :				Union[str, Any]=	list(filter(lambda snake_case__      : [t[0]] == tokenizer.encode(t[1]	,  add_special_tokens=snake_case__      )	,  snake_case__      )      )
												if max_length is not None and len(snake_case__      ) > max_length:
																		lowercase__    :				int=	toks[:max_length]
												if min_length is not None and len(snake_case__      ) < min_length and len(snake_case__      ) > 0:
																		while len(snake_case__      ) < min_length:
																								lowercase__    :				List[str]=	toks + toks
        # toks_str = [t[1] for t in toks]
												lowercase__    :				str=	[t[0] for t in toks]

												# Ensure consistency
												lowercase__    :				Optional[Any]=	tokenizer.decode(snake_case__	,  clean_up_tokenization_spaces=snake_case__      )
												if " " not in output_txt and len(snake_case__      ) > 1:
																		lowercase__    :				Dict=	(
																		    tokenizer.decode([toks_ids[0]]	,  clean_up_tokenization_spaces=snake_case__      )
																		    + " "
																		    + tokenizer.decode(toks_ids[1:]	,  clean_up_tokenization_spaces=snake_case__      )
																		)
												if with_prefix_space:
																		lowercase__    :				List[Any]=	" " + output_txt
												lowercase__    :				Any=	tokenizer.encode(snake_case__	,  add_special_tokens=snake_case__      )
												return output_txt, output_ids




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Optional[Any]=	self.perceiver_tokenizer
												lowercase__    :				Union[str, Any]=	"Unicode €."
												lowercase__    :				Tuple=	tokenizer(snake_case__      )
												lowercase__    :				Dict=	[4, 91, 116, 111, 105, 117, 106, 107, 38, 232, 136, 178, 52, 5]
												self.assertEqual(encoded["input_ids"]	,  snake_case__      )

												# decoding
												lowercase__    :				List[str]=	tokenizer.decode(snake_case__      )
												self.assertEqual(snake_case__	,  "[CLS]Unicode €.[SEP]"      )

												lowercase__    :				List[str]=	tokenizer("e è é ê ë"      )
												lowercase__    :				int=	[4, 107, 38, 201, 174, 38, 201, 175, 38, 201, 176, 38, 201, 177, 5]
												self.assertEqual(encoded["input_ids"]	,  snake_case__      )
												# decoding
												lowercase__    :				Any=	tokenizer.decode(snake_case__      )
												self.assertEqual(snake_case__	,  "[CLS]e è é ê ë[SEP]"      )

												# encode/decode, but with `encode` instead of `__call__`
												self.assertEqual(tokenizer.decode(tokenizer.encode("e è é ê ë"      )      )	,  "[CLS]e è é ê ë[SEP]"      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				str=	self.perceiver_tokenizer
												lowercase__    :				Tuple=	["A long paragraph for summarization.", "Another paragraph for summarization."]
												# fmt: off
												lowercase__    :				List[Any]=	[4, 71, 38, 114, 117, 116, 109, 38, 118, 103, 120, 103, 109, 120, 103, 118, 110, 38, 108, 117, 120, 38, 121, 123, 115, 115, 103, 120, 111, 128, 103, 122, 111, 117, 116, 52, 5, 0]
												# fmt: on
												lowercase__    :				Dict=	tokenizer(snake_case__	,  padding=snake_case__	,  return_tensors=snake_case__      )
												self.assertIsInstance(snake_case__	,  snake_case__      )

												if FRAMEWORK != "jax":
																		lowercase__    :				List[Any]=	list(batch.input_ids.numpy()[0]      )
												else:
																		lowercase__    :				str=	list(batch.input_ids.tolist()[0]      )

												self.assertListEqual(snake_case__	,  snake_case__      )

												self.assertEqual((2, 38)	,  batch.input_ids.shape      )
												self.assertEqual((2, 38)	,  batch.attention_mask.shape      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Optional[Any]=	self.perceiver_tokenizer
												lowercase__    :				int=	["A long paragraph for summarization.", "Another paragraph for summarization."]
												lowercase__    :				Union[str, Any]=	tokenizer(snake_case__	,  padding=snake_case__	,  return_tensors=snake_case__      )
												# check if input_ids are returned and no decoder_input_ids
												self.assertIn("input_ids"	,  snake_case__      )
												self.assertIn("attention_mask"	,  snake_case__      )
												self.assertNotIn("decoder_input_ids"	,  snake_case__      )
												self.assertNotIn("decoder_attention_mask"	,  snake_case__      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Tuple=	self.perceiver_tokenizer
												lowercase__    :				int=	[
												    "Summary of the text.",
												    "Another summary.",
												]
												lowercase__    :				List[Any]=	tokenizer(
												    text_target=snake_case__	,  max_length=32	,  padding="max_length"	,  truncation=snake_case__	,  return_tensors=snake_case__      )
												self.assertEqual(32	,  targets["input_ids"].shape[1]      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												# safety check on max_len default value so we are sure the test works
												lowercase__    :				Union[str, Any]=	self.get_tokenizers()
												for tokenizer in tokenizers:
																		with self.subTest(F'''{tokenizer.__class__.__name__}'''      ):
																								self.assertNotEqual(tokenizer.model_max_length	,  42      )

        # Now let's start the test
												lowercase__    :				List[str]=	self.get_tokenizers()
												for tokenizer in tokenizers:
																		with self.subTest(F'''{tokenizer.__class__.__name__}'''      ):
																								# Isolate this from the other tests because we save additional tokens/etc
																								lowercase__    :				str=	tempfile.mkdtemp()

																								lowercase__    :				str=	" He is very happy, UNwant\u00E9d,running"
																								lowercase__    :				int=	tokenizer.encode(snake_case__	,  add_special_tokens=snake_case__      )
																								tokenizer.save_pretrained(snake_case__      )

																								lowercase__    :				List[str]=	tokenizer.__class__.from_pretrained(snake_case__      )
																								lowercase__    :				Tuple=	after_tokenizer.encode(snake_case__	,  add_special_tokens=snake_case__      )
																								self.assertListEqual(snake_case__	,  snake_case__      )

																								shutil.rmtree(snake_case__      )

												lowercase__    :				List[str]=	self.get_tokenizers(model_max_length=42      )
												for tokenizer in tokenizers:
																		with self.subTest(F'''{tokenizer.__class__.__name__}'''      ):
																								# Isolate this from the other tests because we save additional tokens/etc
																								lowercase__    :				Tuple=	tempfile.mkdtemp()

																								lowercase__    :				List[Any]=	" He is very happy, UNwant\u00E9d,running"
																								tokenizer.add_tokens(["bim", "bambam"]      )
																								lowercase__    :				Tuple=	tokenizer.additional_special_tokens
																								additional_special_tokens.append("new_additional_special_token"      )
																								tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}      )
																								lowercase__    :				List[str]=	tokenizer.encode(snake_case__	,  add_special_tokens=snake_case__      )
																								tokenizer.save_pretrained(snake_case__      )

																								lowercase__    :				Tuple=	tokenizer.__class__.from_pretrained(snake_case__      )
																								lowercase__    :				Tuple=	after_tokenizer.encode(snake_case__	,  add_special_tokens=snake_case__      )
																								self.assertListEqual(snake_case__	,  snake_case__      )
																								self.assertIn("new_additional_special_token"	,  after_tokenizer.additional_special_tokens      )
																								self.assertEqual(after_tokenizer.model_max_length	,  42      )

																								lowercase__    :				Tuple=	tokenizer.__class__.from_pretrained(snake_case__	,  model_max_length=43      )
																								self.assertEqual(tokenizer.model_max_length	,  43      )

																								shutil.rmtree(snake_case__      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Union[str, Any]=	[]
												if self.test_slow_tokenizer:
																		tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())      )

												if self.test_rust_tokenizer:
																		tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())      )

												for tokenizer_class, tokenizer_utils in tokenizer_list:
																		with tempfile.TemporaryDirectory() as tmp_dir:
																								tokenizer_utils.save_pretrained(snake_case__      )

																								with open(os.path.join(snake_case__	,  "special_tokens_map.json"      )	,  encoding="utf-8"      ) as json_file:
																														lowercase__    :				Optional[Any]=	json.load(snake_case__      )

																								with open(os.path.join(snake_case__	,  "tokenizer_config.json"      )	,  encoding="utf-8"      ) as json_file:
																														lowercase__    :				Optional[Any]=	json.load(snake_case__      )

																								lowercase__    :				List[str]=	[F'''<extra_id_{i}>''' for i in range(125      )]

																								lowercase__    :				Optional[int]=	added_tokens_extra_ids + [
																								    "an_additional_special_token"
																								]
																								lowercase__    :				Union[str, Any]=	added_tokens_extra_ids + [
																								    "an_additional_special_token"
																								]

																								with open(os.path.join(snake_case__	,  "special_tokens_map.json"      )	,  "w"	,  encoding="utf-8"      ) as outfile:
																														json.dump(snake_case__	,  snake_case__      )
																								with open(os.path.join(snake_case__	,  "tokenizer_config.json"      )	,  "w"	,  encoding="utf-8"      ) as outfile:
																														json.dump(snake_case__	,  snake_case__      )

																								# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																								# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																								# "special_tokens_map.json" files
																								lowercase__    :				Optional[int]=	tokenizer_class.from_pretrained(
																								    snake_case__	,  )
																								self.assertIn(
																								    "an_additional_special_token"	,  tokenizer_without_change_in_init.additional_special_tokens      )
																								self.assertEqual(
																								    ["an_additional_special_token"]	,  tokenizer_without_change_in_init.convert_ids_to_tokens(
																								        tokenizer_without_change_in_init.convert_tokens_to_ids(["an_additional_special_token"]      )      )	,  )

																								# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																								lowercase__    :				int=	added_tokens_extra_ids + [AddedToken("a_new_additional_special_token"	,  lstrip=snake_case__      )]
																								lowercase__    :				int=	tokenizer_class.from_pretrained(
																								    snake_case__	,  additional_special_tokens=snake_case__	,  )

																								self.assertIn("a_new_additional_special_token"	,  tokenizer.additional_special_tokens      )
																								self.assertEqual(
																								    ["a_new_additional_special_token"]	,  tokenizer.convert_ids_to_tokens(
																								        tokenizer.convert_tokens_to_ids(["a_new_additional_special_token"]      )      )	,  )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												lowercase__    :				Union[str, Any]=	self.perceiver_tokenizer
												self.assertEqual(tokenizer.decode([178]      )	,  "�"      )




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												pass




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												pass




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												pass




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												pass




						def 		UpperCAmelCase_	(       self      ):
												'''simple docstring'''
												# The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
												# strings and special added tokens as tokens
												lowercase__    :				Optional[int]=	self.get_tokenizers(fast=snake_case__	,  do_lower_case=snake_case__      )
												for tokenizer in tokenizers:
																		with self.subTest(F'''{tokenizer.__class__.__name__}'''      ):
																								lowercase__    :				Optional[int]=	["[CLS]", "t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "s", "t", "[SEP]"]
																								lowercase__    :				Optional[int]=	tokenizer.convert_tokens_to_string(snake_case__      )

																								self.assertIsInstance(snake_case__	,  snake_case__      )






