
import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




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




	'''simple docstring'''




	_A								=     GPTaTokenizer
	_A								=     GPTaTokenizerFast
	_A								=     True
	_A								=     {'add_prefix_space': True}
	_A								=     False







	def    _lowerCamelCase				(					self		:List[str]						)		-> Optional[Any]:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								__UpperCamelCase	:   Any			   =					[
								    "l",
								    "o",
								    "w",
								    "e",
								    "r",
								    "s",
								    "t",
								    "i",
								    "d",
								    "n",
								    "\u0120",
								    "\u0120l",
								    "\u0120n",
								    "\u0120lo",
								    "\u0120low",
								    "er",
								    "\u0120lowest",
								    "\u0120newer",
								    "\u0120wider",
								    "<unk>",
								    "<|endoftext|>",
								]
								__UpperCamelCase	:   Any			   =					dict(zip(a     ,   range(len(a						)						)						)						)
								__UpperCamelCase	:   Optional[Any]			   =					["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
								__UpperCamelCase	:   Any			   =					{"unk_token": "<unk>"}

								__UpperCamelCase	:   Tuple			   =					os.path.join(self.tmpdirname     ,   VOCAB_FILES_NAMES["vocab_file"]						)
								__UpperCamelCase	:   str			   =					os.path.join(self.tmpdirname     ,   VOCAB_FILES_NAMES["merges_file"]						)
								with open(self.vocab_file     ,   "w"     ,   encoding="utf-8"						) as fp:
															fp.write(json.dumps(a						) + "\n"						)
								with open(self.merges_file     ,   "w"     ,   encoding="utf-8"						) as fp:
															fp.write("\n".join(a						)						)







	def    _lowerCamelCase				(					self		:Union[str, Any]     ,   **a		:List[Any]						)		-> Dict:
								kwargs.update(self.special_tokens_map						)
								return GPTaTokenizer.from_pretrained(self.tmpdirname     ,   **a						)







	def    _lowerCamelCase				(					self		:Union[str, Any]     ,   **a		:Optional[int]						)		-> Any:
								kwargs.update(self.special_tokens_map						)
								return GPTaTokenizerFast.from_pretrained(self.tmpdirname     ,   **a						)







	def    _lowerCamelCase				(					self		:Tuple     ,   a		:Union[str, Any]						)		-> Dict:
								__UpperCamelCase	:   Tuple			   =					"lower newer"
								__UpperCamelCase	:   Optional[Any]			   =					"lower newer"
								return input_text, output_text







	def    _lowerCamelCase				(					self		:List[str]						)		-> List[str]:
								__UpperCamelCase	:   Optional[Any]			   =					GPTaTokenizer(self.vocab_file     ,   self.merges_file     ,   **self.special_tokens_map						)
								__UpperCamelCase	:   int			   =					"lower newer"
								__UpperCamelCase	:   Tuple			   =					["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
								__UpperCamelCase	:   Any			   =					tokenizer.tokenize(a     ,   add_prefix_space=a						)
								self.assertListEqual(a     ,   a						)

								__UpperCamelCase	:   List[str]			   =					tokens + [tokenizer.unk_token]
								__UpperCamelCase	:   Optional[int]			   =					[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(a						)     ,   a						)







	def    _lowerCamelCase				(					self		:Tuple						)		-> int:
								if not self.test_rust_tokenizer:
															return

								__UpperCamelCase	:   Optional[int]			   =					self.get_tokenizer()
								__UpperCamelCase	:   str			   =					self.get_rust_tokenizer(add_prefix_space=a						)

								__UpperCamelCase	:   Union[str, Any]			   =					"lower newer"

								# Testing tokenization
								__UpperCamelCase	:   int			   =					tokenizer.tokenize(a     ,   add_prefix_space=a						)
								__UpperCamelCase	:   Tuple			   =					rust_tokenizer.tokenize(a						)
								self.assertListEqual(a     ,   a						)

								# Testing conversion to ids without special tokens
								__UpperCamelCase	:   Optional[Any]			   =					tokenizer.encode(a     ,   add_special_tokens=a     ,   add_prefix_space=a						)
								__UpperCamelCase	:   List[Any]			   =					rust_tokenizer.encode(a     ,   add_special_tokens=a						)
								self.assertListEqual(a     ,   a						)

								# Testing conversion to ids with special tokens
								__UpperCamelCase	:   List[str]			   =					self.get_rust_tokenizer(add_prefix_space=a						)
								__UpperCamelCase	:   int			   =					tokenizer.encode(a     ,   add_prefix_space=a						)
								__UpperCamelCase	:   Dict			   =					rust_tokenizer.encode(a						)
								self.assertListEqual(a     ,   a						)

								# Testing the unknown token
								__UpperCamelCase	:   List[str]			   =					tokens + [rust_tokenizer.unk_token]
								__UpperCamelCase	:   List[str]			   =					[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
								self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(a						)     ,   a						)







	def    _lowerCamelCase				(					self		:Union[str, Any]     ,   *a		:Any     ,   **a		:Union[str, Any]						)		-> List[Any]:
								# It's very difficult to mix/test pretokenization with byte-level
								# And get both GPT2 and Roberta to work at the same time (mostly an issue of adding a space before the string)
								pass







	def    _lowerCamelCase				(					self		:Any     ,   a		:Tuple=1_5						)		-> str:
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'						):
																						__UpperCamelCase	:   Tuple			   =					self.rust_tokenizer_class.from_pretrained(a     ,   **a						)

																						# Simple input
																						__UpperCamelCase	:   Tuple			   =					"This is a simple input"
																						__UpperCamelCase	:   str			   =					["This is a simple input 1", "This is a simple input 2"]
																						__UpperCamelCase	:   Any			   =					("This is a simple input", "This is a pair")
																						__UpperCamelCase	:   Union[str, Any]			   =					[
																						    ("This is a simple input 1", "This is a simple input 2"),
																						    ("This is a simple pair 1", "This is a simple pair 2"),
																						]

																						# Simple input tests
																						self.assertRaises(a     ,   tokenizer_r.encode     ,   a     ,   max_length=a     ,   padding="max_length"						)

																						# Simple input
																						self.assertRaises(a     ,   tokenizer_r.encode_plus     ,   a     ,   max_length=a     ,   padding="max_length"						)

																						# Simple input
																						self.assertRaises(
																						    a     ,   tokenizer_r.batch_encode_plus     ,   a     ,   max_length=a     ,   padding="max_length"     ,   )

																						# Pair input
																						self.assertRaises(a     ,   tokenizer_r.encode     ,   a     ,   max_length=a     ,   padding="max_length"						)

																						# Pair input
																						self.assertRaises(a     ,   tokenizer_r.encode_plus     ,   a     ,   max_length=a     ,   padding="max_length"						)

																						# Pair input
																						self.assertRaises(
																						    a     ,   tokenizer_r.batch_encode_plus     ,   a     ,   max_length=a     ,   padding="max_length"     ,   )







	def    _lowerCamelCase				(					self		:int						)		-> Optional[int]:
								__UpperCamelCase	:   Optional[int]			   =					GPTaTokenizer.from_pretrained(self.tmpdirname     ,   pad_token="<pad>"						)

								# Simple input
								__UpperCamelCase	:   Dict			   =					"This is a simple input"
								__UpperCamelCase	:   Optional[int]			   =					["This is a simple input looooooooong", "This is a simple input"]
								__UpperCamelCase	:   Union[str, Any]			   =					("This is a simple input", "This is a pair")
								__UpperCamelCase	:   int			   =					[
								    ("This is a simple input loooooong", "This is a simple input"),
								    ("This is a simple pair loooooong", "This is a simple pair"),
								]

								__UpperCamelCase	:   Optional[Any]			   =					tokenizer.pad_token_id

								__UpperCamelCase	:   Optional[Any]			   =					tokenizer(a     ,   padding="max_length"     ,   max_length=3_0     ,   return_tensors="np"						)
								__UpperCamelCase	:   List[str]			   =					tokenizer(a     ,   padding=a     ,   truncate=a     ,   return_tensors="np"						)
								__UpperCamelCase	:   Dict			   =					tokenizer(*a     ,   padding="max_length"     ,   max_length=6_0     ,   return_tensors="np"						)
								__UpperCamelCase	:   Optional[int]			   =					tokenizer(a     ,   padding=a     ,   truncate=a     ,   return_tensors="np"						)

								# s
								# test single string max_length padding
								self.assertEqual(out_s["input_ids"].shape[-1]     ,   3_0						)
								self.assertTrue(pad_token_id in out_s["input_ids"]						)
								self.assertTrue(0 in out_s["attention_mask"]						)

								# s2
								# test automatic padding
								self.assertEqual(out_sa["input_ids"].shape[-1]     ,   3_3						)
								# long slice doesn't have padding
								self.assertFalse(pad_token_id in out_sa["input_ids"][0]						)
								self.assertFalse(0 in out_sa["attention_mask"][0]						)
								# short slice does have padding
								self.assertTrue(pad_token_id in out_sa["input_ids"][1]						)
								self.assertTrue(0 in out_sa["attention_mask"][1]						)

								# p
								# test single pair max_length padding
								self.assertEqual(out_p["input_ids"].shape[-1]     ,   6_0						)
								self.assertTrue(pad_token_id in out_p["input_ids"]						)
								self.assertTrue(0 in out_p["attention_mask"]						)

								# p2
								# test automatic padding pair
								self.assertEqual(out_pa["input_ids"].shape[-1]     ,   5_2						)
								# long slice pair doesn't have padding
								self.assertFalse(pad_token_id in out_pa["input_ids"][0]						)
								self.assertFalse(0 in out_pa["attention_mask"][0]						)
								# short slice pair does have padding
								self.assertTrue(pad_token_id in out_pa["input_ids"][1]						)
								self.assertTrue(0 in out_pa["attention_mask"][1]						)







	def    _lowerCamelCase				(					self		:int						)		-> Union[str, Any]:
								__UpperCamelCase	:   int			   =					"$$$"
								__UpperCamelCase	:   Any			   =					GPTaTokenizer.from_pretrained(self.tmpdirname     ,   bos_token=a     ,   add_bos_token=a						)

								__UpperCamelCase	:   Optional[Any]			   =					"This is a simple input"
								__UpperCamelCase	:   Union[str, Any]			   =					["This is a simple input 1", "This is a simple input 2"]

								__UpperCamelCase	:   Optional[int]			   =					tokenizer.bos_token_id

								__UpperCamelCase	:   Tuple			   =					tokenizer(a						)
								__UpperCamelCase	:   List[str]			   =					tokenizer(a						)

								self.assertEqual(out_s.input_ids[0]     ,   a						)
								self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids						)						)

								__UpperCamelCase	:   int			   =					tokenizer.decode(out_s.input_ids						)
								__UpperCamelCase	:   Optional[int]			   =					tokenizer.batch_decode(out_sa.input_ids						)

								self.assertEqual(decode_s.split()[0]     ,   a						)
								self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa						)						)







	def    _lowerCamelCase				(					self		:int						)		-> Optional[Any]:
								pass







	def    _lowerCamelCase				(					self		:Union[str, Any]						)		-> int:
								# TODO: change to self.get_tokenizers() when the fast version is implemented
								__UpperCamelCase	:   Dict			   =					[self.get_tokenizer(do_lower_case=a     ,   add_bos_token=a						)]
								for tokenizer in tokenizers:
															with self.subTest(f'{tokenizer.__class__.__name__}'						):
																						__UpperCamelCase	:   Optional[Any]			   =					"Encode this."
																						__UpperCamelCase	:   Union[str, Any]			   =					"This one too please."
																						__UpperCamelCase	:   Optional[int]			   =					tokenizer.encode(a     ,   add_special_tokens=a						)
																						encoded_sequence += tokenizer.encode(a     ,   add_special_tokens=a						)
																						__UpperCamelCase	:   Any			   =					tokenizer.encode_plus(
																						    a     ,   a     ,   add_special_tokens=a     ,   return_special_tokens_mask=a     ,   )
																						__UpperCamelCase	:   Optional[int]			   =					encoded_sequence_dict["input_ids"]
																						__UpperCamelCase	:   Optional[Any]			   =					encoded_sequence_dict["special_tokens_mask"]
																						self.assertEqual(len(a						)     ,   len(a						)						)

																						__UpperCamelCase	:   Optional[Any]			   =					[
																						    (x if not special_tokens_mask[i] else None) for i, x in enumerate(a						)
																						]
																						__UpperCamelCase	:   int			   =					[x for x in filtered_sequence if x is not None]
																						self.assertEqual(a     ,   a						)




@require_tokenizers
class  lowerCamelCase__							(				unittest.TestCase):




	'''simple docstring'''




	def    _lowerCamelCase				(					self		:Union[str, Any]						)		-> List[Any]:
								# More context:
								# https://huggingface.co/wjmcat/opt-350m-paddle/discussions/1
								# https://huggingface.slack.com/archives/C01N44FJDHT/p1653511495183519
								# https://github.com/huggingface/transformers/pull/17088#discussion_r871246439

								__UpperCamelCase	:   List[Any]			   =					AutoTokenizer.from_pretrained("facebook/opt-350m"     ,   from_slow=a						)
								__UpperCamelCase	:   Dict			   =					"A photo of a cat"

								__UpperCamelCase	:   int			   =					tokenizer.encode(
								    a     ,   )
								self.assertEqual(a     ,   [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]						)
								tokenizer.save_pretrained("test_opt"						)

								__UpperCamelCase	:   Union[str, Any]			   =					AutoTokenizer.from_pretrained("./test_opt"						)
								__UpperCamelCase	:   List[str]			   =					tokenizer.encode(
								    a     ,   )
								self.assertEqual(a     ,   [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]						)







	def    _lowerCamelCase				(					self		:Dict						)		-> int:
								__UpperCamelCase	:   Union[str, Any]			   =					AutoTokenizer.from_pretrained("facebook/opt-350m"     ,   use_slow=a						)
								__UpperCamelCase	:   List[Any]			   =					"A photo of a cat"

								__UpperCamelCase	:   Optional[int]			   =					tokenizer.encode(
								    a     ,   )
								# Same as above
								self.assertEqual(a     ,   [2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]						)







	@unittest.skip("This test is failing because of a bug in the fast tokenizer"						)
	def    _lowerCamelCase				(					self		:Tuple						)		-> Optional[Any]:
								__UpperCamelCase	:   str			   =					AutoTokenizer.from_pretrained("facebook/opt-350m"     ,   from_slow=a						)

								__UpperCamelCase	:   Union[str, Any]			   =					"bos"
								__UpperCamelCase	:   Dict			   =					tokenizer.get_vocab()["bos"]

								__UpperCamelCase	:   Dict			   =					"A photo of a cat"
								__UpperCamelCase	:   Optional[int]			   =					tokenizer.encode(
								    a     ,   )
								# We changed the bos token
								self.assertEqual(a     ,   [3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]						)
								tokenizer.save_pretrained("./tok"						)
								__UpperCamelCase	:   Optional[Any]			   =					AutoTokenizer.from_pretrained("./tok"						)
								self.assertTrue(tokenizer.is_fast						)
								__UpperCamelCase	:   Optional[int]			   =					tokenizer.encode(
								    a     ,   )
								self.assertEqual(a     ,   [3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]						)

class  lowerCamelCase__							:




	'''simple docstring'''




	def __init__(					self		:Union[str, Any]						)		-> None:
								__UpperCamelCase	:   dict[str, TrieNode]			   =					{}  # Mapping from char to TrieNode
								__UpperCamelCase	:   List[str]			   =					False







	def    _lowerCamelCase				(					self		:Any     ,   a		:list[str]						)		-> None:
								for word in words:
															self.insert(a						)







	def    _lowerCamelCase				(					self		:List[str]     ,   a		:str						)		-> None:
								__UpperCamelCase	:   Dict			   =					self
								for char in word:
															if char not in curr.nodes:
																						__UpperCamelCase	:   List[Any]			   =					TrieNode()
															__UpperCamelCase	:   List[Any]			   =					curr.nodes[char]
								__UpperCamelCase	:   Union[str, Any]			   =					True







	def    _lowerCamelCase				(					self		:Optional[int]     ,   a		:str						)		-> bool:
								__UpperCamelCase	:   Union[str, Any]			   =					self
								for char in word:
															if char not in curr.nodes:
																						return False
															__UpperCamelCase	:   Union[str, Any]			   =					curr.nodes[char]
								return curr.is_leaf







	def    _lowerCamelCase				(					self		:Any     ,   a		:str						)		-> None:

								def _delete(a		:TrieNode     ,   a		:str     ,   a		:int						) -> bool:
															if index == len(a						):
																						# If word does not exist
																						if not curr.is_leaf:
																													return False
																						__UpperCamelCase	:   str			   =					False
																						return len(curr.nodes						) == 0
															__UpperCamelCase	:   List[Any]			   =					word[index]
															__UpperCamelCase	:   Optional[int]			   =					curr.nodes.get(a						)
															# If char not in current trie node
															if not char_node:
																						return False
															# Flag to check if node can be deleted
															__UpperCamelCase	:   int			   =					_delete(a     ,   a     ,   index + 1						)
															if delete_curr:
																						del curr.nodes[char]
																						return len(curr.nodes						) == 0
															return delete_curr

								_delete(self     ,   a     ,   0						)




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			TrieNode						,  _lowerCamelCase :			str)					->    None:






							'''simple docstring'''





							if node.is_leaf:
														print(_lowerCamelCase						,  end=" ")

							for key, value in node.nodes.items():
														print_words(_lowerCamelCase						,  word + key)




def 	_SCREAMING_SNAKE_CASE					(		)					->    bool:






							'''simple docstring'''





							__UpperCamelCase	:   int			   =					"banana bananas bandana band apple all beast".split()
							__UpperCamelCase	:   Union[str, Any]			   =					TrieNode()
							root.insert_many(_lowerCamelCase)
							# print_words(root, "")
							assert all(root.find(_lowerCamelCase) for word in words)
							assert root.find("banana")
							assert not root.find("bandanas")
							assert not root.find("apps")
							assert root.find("apple")
							assert root.find("all")
							root.delete("all")
							assert not root.find("all")
							root.delete("banana")
							assert not root.find("banana")
							assert root.find("bananas")
							return True




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			str						,  _lowerCamelCase :			bool)					->    None:






							'''simple docstring'''





							print(str(_lowerCamelCase)						,  "works!" if passes else "doesn't work :(")




def 	_SCREAMING_SNAKE_CASE					(		)					->    None:






							'''simple docstring'''





							assert test_trie()




def 	_SCREAMING_SNAKE_CASE					(		)					->    None:






							'''simple docstring'''





							print_results("Testing trie functionality"						,  test_trie())


if __name__ == "__main__":
		main()