






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

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 			UpperCamelCase_       (__A				,						unittest.TestCase     ):
	__magic_name__	      =				CLIPTokenizer
	__magic_name__	      =				CLIPTokenizerFast
	__magic_name__	      =				True
	__magic_name__	      =				{}
	__magic_name__	      =				False





	def      _SCREAMING_SNAKE_CASE      (      self					: str						)						->			List[str]:
				super().setUp()

				# fmt: off
				UpperCAmelCase_     : str			     =					["l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "lo", "l</w>", "w</w>", "r</w>", "t</w>", "low</w>", "er</w>", "lowest</w>", "newer</w>", "wider", "<unk>", "<|startoftext|>", "<|endoftext|>"]
				# fmt: on
				UpperCAmelCase_     : Optional[int]			     =					dict(zip(lowerCAmelCase_	,	range(len(lowerCAmelCase_						)						)						)						)
				UpperCAmelCase_     : Tuple			     =					["#version: 0.2", "l o", "lo w</w>", "e r</w>"]
				UpperCAmelCase_     : List[str]			     =					{"unk_token": "<unk>"}

				UpperCAmelCase_     : Optional[Any]			     =					os.path.join(self.tmpdirname	,	VOCAB_FILES_NAMES["vocab_file"]						)
				UpperCAmelCase_     : List[Any]			     =					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(lowerCAmelCase_						) + "\n"						)
				with open(self.merges_file	,	"w"	,	encoding="utf-8"						) as fp:
							fp.write("\n".join(lowerCAmelCase_						)						)





	def      _SCREAMING_SNAKE_CASE      (      self					: str	,	**lowerCAmelCase_					: int						)						->			Any:
				kwargs.update(self.special_tokens_map						)
				return CLIPTokenizer.from_pretrained(self.tmpdirname	,	**lowerCAmelCase_						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Any	,	**lowerCAmelCase_					: Dict						)						->			int:
				kwargs.update(self.special_tokens_map						)
				return CLIPTokenizerFast.from_pretrained(self.tmpdirname	,	**lowerCAmelCase_						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Any	,	lowerCAmelCase_					: List[Any]						)						->			Optional[int]:
				UpperCAmelCase_     : int			     =					"lower newer"
				UpperCAmelCase_     : Optional[Any]			     =					"lower newer"
				return input_text, output_text





	def      _SCREAMING_SNAKE_CASE      (      self					: List[Any]						)						->			Tuple:
				UpperCAmelCase_     : Any			     =					CLIPTokenizer(self.vocab_file	,	self.merges_file	,	**self.special_tokens_map						)
				UpperCAmelCase_     : Optional[Any]			     =					"lower newer"
				UpperCAmelCase_     : Dict			     =					["lo", "w", "er</w>", "n", "e", "w", "er</w>"]
				UpperCAmelCase_     : Union[str, Any]			     =					tokenizer.tokenize(lowerCAmelCase_						)
				self.assertListEqual(lowerCAmelCase_	,	lowerCAmelCase_						)

				UpperCAmelCase_     : Optional[Any]			     =					tokens + [tokenizer.unk_token]
				UpperCAmelCase_     : Any			     =					[10, 2, 16, 9, 3, 2, 16, 20]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_						)	,	lowerCAmelCase_						)





	@require_ftfy
	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[Any]						)						->			List[Any]:
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""						):
										UpperCAmelCase_     : Union[str, Any]			     =					self.tokenizer_class.from_pretrained(lowerCAmelCase_	,	**lowerCAmelCase_						)
										UpperCAmelCase_     : Any			     =					self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_	,	**lowerCAmelCase_						)

										UpperCAmelCase_     : str			     =					"A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
										UpperCAmelCase_     : List[Any]			     =					tokenizer_s.tokenize(lowerCAmelCase_						)
										UpperCAmelCase_     : Union[str, Any]			     =					tokenizer_r.tokenize(lowerCAmelCase_						)

										self.assertListEqual(lowerCAmelCase_	,	lowerCAmelCase_						)

										# Test that the tokenization is identical on an example containing a character (Latin Small Letter A
										# with Tilde) encoded in 2 different ways
										UpperCAmelCase_     : Dict			     =					"xa\u0303y" + " " + "x\xe3y"
										UpperCAmelCase_     : Any			     =					tokenizer_s.tokenize(lowerCAmelCase_						)
										UpperCAmelCase_     : Any			     =					tokenizer_r.tokenize(lowerCAmelCase_						)

										self.assertListEqual(lowerCAmelCase_	,	lowerCAmelCase_						)

										# Test that the tokenization is identical on unicode of space type
										UpperCAmelCase_     : str			     =					[
										    "\u0009",  # (horizontal tab, '\t')
										    "\u000B",  # (vertical tab)
										    "\u000C",  # (form feed)
										    "\u0020",  # (space, ' ')
										    "\u200E",  # (left-to-right mark):w
										    "\u200F",  # (right-to-left mark)
										]
										for unicode_seq in spaces_unicodes:
													UpperCAmelCase_     : Optional[Any]			     =					tokenizer_s.tokenize(lowerCAmelCase_						)
													UpperCAmelCase_     : Optional[Any]			     =					tokenizer_r.tokenize(lowerCAmelCase_						)

													self.assertListEqual(lowerCAmelCase_	,	lowerCAmelCase_						)

										# Test that the tokenization is identical on unicode of line break type
										UpperCAmelCase_     : int			     =					[
										    "\u000A",  # (line feed, '\n')
										    "\r\n",  # (carriage return and line feed, '\r\n')
										    "\u000D",  # (carriage return, '\r')
										    "\r",  # (carriage return, '\r')
										    "\u000D",  # (carriage return, '\r')
										    "\u2028",  # (line separator)
										    "\u2029",  # (paragraph separator)
										    # "\u0085", # (next line)
										]

										# The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
										# it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
										# space (and thus into an empty list).

										for unicode_seq in line_break_unicodes:
													UpperCAmelCase_     : List[Any]			     =					tokenizer_s.tokenize(lowerCAmelCase_						)
													UpperCAmelCase_     : Tuple			     =					tokenizer_r.tokenize(lowerCAmelCase_						)

													self.assertListEqual(lowerCAmelCase_	,	lowerCAmelCase_						)





	def      _SCREAMING_SNAKE_CASE      (      self					: str						)						->			Optional[Any]:
				# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space`
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
							with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""						):
										UpperCAmelCase_     : Dict			     =					"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
										UpperCAmelCase_     : str			     =					f"""{text_of_1_token} {text_of_1_token}"""

										UpperCAmelCase_     : Tuple			     =					self.rust_tokenizer_class.from_pretrained(
										    lowerCAmelCase_	,	use_fast=lowerCAmelCase_	,	)
										UpperCAmelCase_     : Tuple			     =					tokenizer_r(lowerCAmelCase_	,	return_offsets_mapping=lowerCAmelCase_	,	add_special_tokens=lowerCAmelCase_						)
										self.assertEqual(encoding.offset_mapping[0]	,	(0, len(lowerCAmelCase_						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]	,	(len(lowerCAmelCase_						) + 1, len(lowerCAmelCase_						) + 1 + len(lowerCAmelCase_						))	,	)

										UpperCAmelCase_     : str			     =					f""" {text}"""

										UpperCAmelCase_     : Tuple			     =					self.rust_tokenizer_class.from_pretrained(
										    lowerCAmelCase_	,	use_fast=lowerCAmelCase_	,	)
										UpperCAmelCase_     : List[Any]			     =					tokenizer_r(lowerCAmelCase_	,	return_offsets_mapping=lowerCAmelCase_	,	add_special_tokens=lowerCAmelCase_						)
										self.assertEqual(encoding.offset_mapping[0]	,	(1, 1 + len(lowerCAmelCase_						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]	,	(1 + len(lowerCAmelCase_						) + 1, 1 + len(lowerCAmelCase_						) + 1 + len(lowerCAmelCase_						))	,	)





	def      _SCREAMING_SNAKE_CASE      (      self					: List[Any]						)						->			Any:
				# Test related to the breaking change introduced in transformers v4.17.0
				# We need to check that an error in raised when the user try to load a previous version of the tokenizer.
				with self.assertRaises(lowerCAmelCase_						) as context:
							self.rust_tokenizer_class.from_pretrained("robot-test/old-clip-tokenizer"						)

				self.assertTrue(
				    context.exception.args[0].startswith(
				        "The `backend_tokenizer` provided does not match the expected format."						)						)





	@require_ftfy
	def      _SCREAMING_SNAKE_CASE      (      self					: List[Any]						)						->			List[Any]:
				super().test_tokenization_python_rust_equals()





	def      _SCREAMING_SNAKE_CASE      (      self					: str						)						->			int:
				# CLIP always lower cases letters
				pass











"""simple docstring"""
from __future__ import annotations







class 			UpperCamelCase_       :





	def __init__(      self					: Any	,	lowerCAmelCase_					: int						)						->			None:
				UpperCAmelCase_     : Any			     =					data
				UpperCAmelCase_     : Node | None			     =					None
				UpperCAmelCase_     : Node | None			     =					None





def 				snake_case      (   A__						):  # In Order traversal of the tree
			if tree:
						display(tree.left						)
						print(tree.data						)
						display(tree.right						)

def 				snake_case      (   A__						):
			return 1 + max(depth_of_tree(tree.left						)	,depth_of_tree(tree.right						)						) if tree else 0

def 				snake_case      (   A__						):
			if not tree:
						return True
			if tree.left and tree.right:
						return is_full_binary_tree(tree.left						) and is_full_binary_tree(tree.right						)
			else:
						return not tree.left and not tree.right

def 				snake_case      (   ):  # Main function for testing.
			UpperCAmelCase_     : List[str]			     =					Node(1						)
			UpperCAmelCase_     : Any			     =					Node(2						)
			UpperCAmelCase_     : Optional[Any]			     =					Node(3						)
			UpperCAmelCase_     : Union[str, Any]			     =					Node(4						)
			UpperCAmelCase_     : int			     =					Node(5						)
			UpperCAmelCase_     : Optional[int]			     =					Node(6						)
			UpperCAmelCase_     : Any			     =					Node(7						)
			UpperCAmelCase_     : List[str]			     =					Node(8						)
			UpperCAmelCase_     : List[Any]			     =					Node(9						)

			print(is_full_binary_tree(A__						)						)
			print(depth_of_tree(A__						)						)
			print("Tree is: "						)
			display(A__						)


if __name__ == "__main__":
			main()



