
import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin





class   UpperCamelCase_      (      __a		,    unittest.TestCase		):







						'''simple docstring'''



						UpperCamelCase      :  List[Any]				   =					CanineTokenizer
						UpperCamelCase      :  Optional[Any]				   =					False





						def        SCREAMING_SNAKE_CASE(			self							:str     )  ->Any:
										super().setUp()
										lowercase         =      CanineTokenizer()
										tokenizer.save_pretrained(self.tmpdirname     )





						@cached_property
						def        SCREAMING_SNAKE_CASE(			self							:Tuple     )  ->List[str]:
										return CanineTokenizer.from_pretrained("google/canine-s"     )





						def        SCREAMING_SNAKE_CASE(			self							:int		,    **lowerCAmelCase__							:Optional[Any]     )  ->CanineTokenizer:
										lowercase         =      self.tokenizer_class.from_pretrained(self.tmpdirname		,    **lowerCAmelCase__     )
										lowercase         =      1024
										return tokenizer





						@require_torch
						def        SCREAMING_SNAKE_CASE(			self							:Dict     )  ->Optional[Any]:
										lowercase         =      self.canine_tokenizer
										lowercase         =      ["Life is like a box of chocolates.", "You never know what you're gonna get."]
										# fmt: off
										lowercase         =      [57344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 57345, 0, 0, 0, 0]
										# fmt: on
										lowercase         =      tokenizer(lowerCAmelCase__		,    padding=lowerCAmelCase__		,    return_tensors="pt"     )
										self.assertIsInstance(lowerCAmelCase__		,    lowerCAmelCase__     )

										lowercase         =      list(batch.input_ids.numpy()[0]     )

										self.assertListEqual(lowerCAmelCase__		,    lowerCAmelCase__     )

										self.assertEqual((2, 39)		,    batch.input_ids.shape     )
										self.assertEqual((2, 39)		,    batch.attention_mask.shape     )





						@require_torch
						def        SCREAMING_SNAKE_CASE(			self							:int     )  ->Optional[int]:
										lowercase         =      self.canine_tokenizer
										lowercase         =      ["Once there was a man.", "He wrote a test in HuggingFace Tranformers."]
										lowercase         =      tokenizer(lowerCAmelCase__		,    padding=lowerCAmelCase__		,    return_tensors="pt"     )
										# check if input_ids, attention_mask and token_type_ids are returned
										self.assertIn("input_ids"		,    lowerCAmelCase__     )
										self.assertIn("attention_mask"		,    lowerCAmelCase__     )
										self.assertIn("token_type_ids"		,    lowerCAmelCase__     )





						@require_torch
						def        SCREAMING_SNAKE_CASE(			self							:Any     )  ->Union[str, Any]:
										lowercase         =      self.canine_tokenizer
										lowercase         =      [
										    "What's the weater?",
										    "It's about 25 degrees.",
										]
										lowercase         =      tokenizer(
										    text_target=lowerCAmelCase__		,    max_length=32		,    padding="max_length"		,    truncation=lowerCAmelCase__		,    return_tensors="pt"     )
										self.assertEqual(32		,    targets["input_ids"].shape[1]     )





						def        SCREAMING_SNAKE_CASE(			self							:List[Any]     )  ->Tuple:
										# safety check on max_len default value so we are sure the test works
										lowercase         =      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         =      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         =      tempfile.mkdtemp()

																		lowercase         =      " He is very happy, UNwant\u00E9d,running"
																		lowercase         =      tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		tokenizer.save_pretrained(lowerCAmelCase__     )

																		lowercase         =      tokenizer.__class__.from_pretrained(lowerCAmelCase__     )
																		lowercase         =      after_tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		self.assertListEqual(lowerCAmelCase__		,    lowerCAmelCase__     )

																		shutil.rmtree(lowerCAmelCase__     )

										lowercase         =      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         =      tempfile.mkdtemp()

																		lowercase         =      " He is very happy, UNwant\u00E9d,running"

																		lowercase         =      tokenizer.additional_special_tokens

																		# We can add a new special token for Canine as follows:
																		lowercase         =      chr(0xE007     )
																		additional_special_tokens.append(lowerCAmelCase__     )
																		tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}     )
																		lowercase         =      tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		tokenizer.save_pretrained(lowerCAmelCase__     )

																		lowercase         =      tokenizer.__class__.from_pretrained(lowerCAmelCase__     )
																		lowercase         =      after_tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		self.assertListEqual(lowerCAmelCase__		,    lowerCAmelCase__     )
																		self.assertIn(lowerCAmelCase__		,    after_tokenizer.additional_special_tokens     )
																		self.assertEqual(after_tokenizer.model_max_length		,    42     )

																		lowercase         =      tokenizer.__class__.from_pretrained(lowerCAmelCase__		,    model_max_length=43     )
																		self.assertEqual(tokenizer.model_max_length		,    43     )

																		shutil.rmtree(lowerCAmelCase__     )





						def        SCREAMING_SNAKE_CASE(			self							:Dict     )  ->Optional[int]:
										lowercase         =      self.get_tokenizers(do_lower_case=lowerCAmelCase__     )
										for tokenizer in tokenizers:
														with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																		lowercase     ,	lowercase         =      self.get_clean_sequence(lowerCAmelCase__     )

																		# a special token for Canine can be defined as follows:
																		lowercase         =      0xE005
																		lowercase         =      chr(lowerCAmelCase__     )

																		tokenizer.add_special_tokens({"cls_token": special_token}     )
																		lowercase         =      tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		self.assertEqual(len(lowerCAmelCase__     )		,    1     )

																		lowercase         =      tokenizer.decode(ids + encoded_special_token		,    clean_up_tokenization_spaces=lowerCAmelCase__     )
																		lowercase         =      tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )

																		lowercase         =      tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		lowercase         =      tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		self.assertEqual(lowerCAmelCase__		,    input_encoded + special_token_id     )

																		lowercase         =      tokenizer.decode(lowerCAmelCase__		,    skip_special_tokens=lowerCAmelCase__     )
																		self.assertTrue(special_token not in decoded     )





						def        SCREAMING_SNAKE_CASE(			self							:Dict     )  ->Union[str, Any]:
										lowercase         =      self.get_tokenizers(do_lower_case=lowerCAmelCase__     )
										for tokenizer in tokenizers:
														with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																		lowercase         =      chr(0xE005     )
																		lowercase         =      chr(0xE006     )

																		# `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
																		tokenizer.add_tokens([SPECIAL_TOKEN_1]		,    special_tokens=lowerCAmelCase__     )
																		# `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
																		# which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
																		tokenizer.add_special_tokens({"additional_special_tokens": [SPECIAL_TOKEN_2]}     )

																		lowercase         =      tokenizer.tokenize(lowerCAmelCase__     )
																		lowercase         =      tokenizer.tokenize(lowerCAmelCase__     )

																		self.assertEqual(len(lowerCAmelCase__     )		,    1     )
																		self.assertEqual(len(lowerCAmelCase__     )		,    1     )
																		self.assertEqual(token_a[0]		,    lowerCAmelCase__     )
																		self.assertEqual(token_a[0]		,    lowerCAmelCase__     )





						@require_tokenizers
						def        SCREAMING_SNAKE_CASE(			self							:Dict     )  ->List[str]:
										lowercase         =      self.get_tokenizers(do_lower_case=lowerCAmelCase__     )
										for tokenizer in tokenizers:
														with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																		# a special token for Canine can be defined as follows:
																		lowercase         =      0xE006
																		lowercase         =      chr(lowerCAmelCase__     )

																		lowercase         =      AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__     )
																		tokenizer.add_special_tokens({"additional_special_tokens": [new_token]}     )

																		with tempfile.TemporaryDirectory() as tmp_dir_name:
																						tokenizer.save_pretrained(lowerCAmelCase__     )
																						tokenizer.from_pretrained(lowerCAmelCase__     )





						def        SCREAMING_SNAKE_CASE(			self							:Optional[Any]     )  ->int:
										lowercase         =      []
										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(lowerCAmelCase__     )

																		with open(os.path.join(lowerCAmelCase__		,    "special_tokens_map.json"     )		,    encoding="utf-8"     ) as json_file:
																						lowercase         =      json.load(lowerCAmelCase__     )

																		with open(os.path.join(lowerCAmelCase__		,    "tokenizer_config.json"     )		,    encoding="utf-8"     ) as json_file:
																						lowercase         =      json.load(lowerCAmelCase__     )

																		# a special token for Canine can be defined as follows:
																		lowercase         =      0xE006
																		lowercase         =      chr(lowerCAmelCase__     )

																		lowercase         =      [new_token_a]
																		lowercase         =      [new_token_a]

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

																		# 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         =      tokenizer_class.from_pretrained(lowerCAmelCase__		,    extra_ids=0     )
																		self.assertIn(lowerCAmelCase__		,    tokenizer_without_change_in_init.additional_special_tokens     )
																		# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																		self.assertEqual(
																		    [new_token_a]		,    tokenizer_without_change_in_init.convert_ids_to_tokens(
																		        tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]     )     )		,    )

																		lowercase         =      0xE007
																		lowercase         =      chr(lowerCAmelCase__     )
																		# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																		lowercase         =      [AddedToken(lowerCAmelCase__		,    lstrip=lowerCAmelCase__     )]
																		lowercase         =      tokenizer_class.from_pretrained(
																		    lowerCAmelCase__		,    additional_special_tokens=lowerCAmelCase__		,    extra_ids=0     )

																		self.assertIn(lowerCAmelCase__		,    tokenizer.additional_special_tokens     )
																		# self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
																		self.assertEqual(
																		    [new_token_a]		,    tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]     )     )     )





						@require_tokenizers
						def        SCREAMING_SNAKE_CASE(			self							:Optional[int]     )  ->List[Any]:
										lowercase         =      self.get_tokenizers(do_lower_case=lowerCAmelCase__     )
										for tokenizer in tokenizers:
														with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																		lowercase         =      "hello world"
																		if self.space_between_special_tokens:
																						lowercase         =      "[CLS] hello world [SEP]"
																		else:
																						lowercase         =      input
																		lowercase         =      tokenizer.encode(lowerCAmelCase__		,    add_special_tokens=lowerCAmelCase__     )
																		lowercase         =      tokenizer.decode(lowerCAmelCase__		,    spaces_between_special_tokens=self.space_between_special_tokens     )
																		self.assertIn(lowerCAmelCase__		,    [output, output.lower()]     )





						def        SCREAMING_SNAKE_CASE(			self							:int     )  ->Tuple:
										lowercase         =      self.get_tokenizers()
										for tokenizer in tokenizers:
														with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
																		lowercase         =      [
																		    "bos_token",
																		    "eos_token",
																		    "unk_token",
																		    "sep_token",
																		    "pad_token",
																		    "cls_token",
																		    "mask_token",
																		]

										lowercase         =      "a"
										lowercase         =      ord(lowerCAmelCase__     )

										for attr in attributes_list:
														setattr(lowerCAmelCase__		,    attr + "_id"		,    lowerCAmelCase__     )
														self.assertEqual(getattr(lowerCAmelCase__		,    lowerCAmelCase__     )		,    lowerCAmelCase__     )
														self.assertEqual(getattr(lowerCAmelCase__		,    attr + "_id"     )		,    lowerCAmelCase__     )

														setattr(lowerCAmelCase__		,    attr + "_id"		,    lowerCAmelCase__     )
														self.assertEqual(getattr(lowerCAmelCase__		,    lowerCAmelCase__     )		,    lowerCAmelCase__     )
														self.assertEqual(getattr(lowerCAmelCase__		,    attr + "_id"     )		,    lowerCAmelCase__     )

										setattr(lowerCAmelCase__		,    "additional_special_tokens_ids"		,    []     )
										self.assertListEqual(getattr(lowerCAmelCase__		,    "additional_special_tokens"     )		,    []     )
										self.assertListEqual(getattr(lowerCAmelCase__		,    "additional_special_tokens_ids"     )		,    []     )

										lowercase         =      0xE006
										lowercase         =      chr(lowerCAmelCase__     )
										setattr(lowerCAmelCase__		,    "additional_special_tokens_ids"		,    [additional_special_token_id]     )
										self.assertListEqual(getattr(lowerCAmelCase__		,    "additional_special_tokens"     )		,    [additional_special_token]     )
										self.assertListEqual(getattr(lowerCAmelCase__		,    "additional_special_tokens_ids"     )		,    [additional_special_token_id]     )





						def        SCREAMING_SNAKE_CASE(			self							:List[Any]     )  ->List[Any]:
										pass





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





						def        SCREAMING_SNAKE_CASE(			self							:str     )  ->int:
										pass





						def        SCREAMING_SNAKE_CASE(			self							:Optional[Any]     )  ->List[Any]:
										pass





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





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





						def        SCREAMING_SNAKE_CASE(			self							:Union[str, Any]     )  ->Optional[int]:
										pass





						def        SCREAMING_SNAKE_CASE(			self							:Any     )  ->int:
										pass


# Function to print upper half of diamond (pyramid)

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				for i in range(0		,    __magic_name__						):
								for _ in range(0		,    n - i - 1						):  # printing spaces
												print(" "		,    end=""						)
								for _ in range(0		,    i + 1						):  # printing stars
												print("* "		,    end=""						)
								print()

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				for i in range(__magic_name__		,    0		,    -1						):
								for _ in range(__magic_name__		,    0		,    -1						):  # printing stars
												print("* "		,    end=""						)
								print()
								for _ in range(n - i + 1		,    0		,    -1						):  # printing spaces
												print(" "		,    end=""						)

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				if n <= 0:
								print("       ...       ....        nothing printing :("						)
								return
				floyd(__magic_name__						)  # upper half
				reverse_floyd(__magic_name__						)  # lower half


if __name__ == "__main__":
						print(r"| /\ | |- |  |-  |--| |\  /| |-")
						print(r"|/  \| |- |_ |_  |__| | \/ | |_")
						_snake_case      :							Union[str, Any]     	=    1
						while K:
												_snake_case      :							Dict     	=    int(input("enter the number and , and see the magic : "))
												print()
												pretty_print(user_number)
												_snake_case      :							Tuple     	=    int(input("press 0 to exit... and 1 to continue..."))

						print("Good Bye...")
