





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    lowerCAmelCase				(  A__				,				unittest.TestCase   ):
  __lowerCamelCase						=     CLIPTokenizer
  __lowerCamelCase						=     CLIPTokenizerFast
  __lowerCamelCase						=     True
  __lowerCamelCase						=     {}
  __lowerCamelCase						=     False







  def     UpperCAmelCase	(     self    :Any   ):






     '''simple docstring'''





     super().setUp()

     # fmt: off
     lowercase__					  =    ["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
     lowercase__					  =    dict(zip(__UpperCAmelCase       ,				range(len(__UpperCAmelCase   )   )   )   )
     lowercase__					  =    ["#version: 0.2", "l o", "lo w</w>", "e r</w>"]
     lowercase__					  =    {"unk_token": "<unk>"}

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







  def     UpperCAmelCase	(     self    :Union[str, Any]       ,				**_lowercase    :Any   ):






     '''simple docstring'''





     kwargs.update(self.special_tokens_map   )
     return CLIPTokenizer.from_pretrained(self.tmpdirname       ,				**__UpperCAmelCase   )







  def     UpperCAmelCase	(     self    :List[Any]       ,				**_lowercase    :Optional[Any]   ):






     '''simple docstring'''





     kwargs.update(self.special_tokens_map   )
     return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,				**__UpperCAmelCase   )







  def     UpperCAmelCase	(     self    :Tuple       ,				_lowercase    :List[Any]   ):






     '''simple docstring'''





     lowercase__					  =    "lower newer"
     lowercase__					  =    "lower newer"
     return input_text, output_text







  def     UpperCAmelCase	(     self    :Union[str, Any]   ):






     '''simple docstring'''





     lowercase__					  =    CLIPTokenizer(self.vocab_file       ,				self.merges_file       ,				**self.special_tokens_map   )
     lowercase__					  =    "lower newer"
     lowercase__					  =    ["lo", "w", "er</w>", "n", "e", "w", "er</w>"]
     lowercase__					  =    tokenizer.tokenize(__UpperCAmelCase   )
     self.assertListEqual(__UpperCAmelCase       ,				__UpperCAmelCase   )

     lowercase__					  =    tokens + [tokenizer.unk_token]
     lowercase__					  =    [10, 2, 16, 9, 3, 2, 16, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase   )       ,				__UpperCAmelCase   )







  @require_ftfy
  def     UpperCAmelCase	(     self    :Any   ):






     '''simple docstring'''





     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
           lowercase__					  =    self.tokenizer_class.from_pretrained(__UpperCAmelCase       ,				**__UpperCAmelCase   )
           lowercase__					  =    self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase       ,				**__UpperCAmelCase   )

           lowercase__					  =    "A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
           lowercase__					  =    tokenizer_s.tokenize(__UpperCAmelCase   )
           lowercase__					  =    tokenizer_r.tokenize(__UpperCAmelCase   )

           self.assertListEqual(__UpperCAmelCase       ,				__UpperCAmelCase   )

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

           self.assertListEqual(__UpperCAmelCase       ,				__UpperCAmelCase   )

           # Test that the tokenization is identical on unicode of space type
           lowercase__					  =    [
               "\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:
              lowercase__					  =    tokenizer_s.tokenize(__UpperCAmelCase   )
              lowercase__					  =    tokenizer_r.tokenize(__UpperCAmelCase   )

              self.assertListEqual(__UpperCAmelCase       ,				__UpperCAmelCase   )

           # Test that the tokenization is identical on unicode of line break type
           lowercase__					  =    [
               "\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:
              lowercase__					  =    tokenizer_s.tokenize(__UpperCAmelCase   )
              lowercase__					  =    tokenizer_r.tokenize(__UpperCAmelCase   )

              self.assertListEqual(__UpperCAmelCase       ,				__UpperCAmelCase   )







  def     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
           lowercase__					  =    "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
           lowercase__					  =    f'''{text_of_1_token} {text_of_1_token}'''

           lowercase__					  =    self.rust_tokenizer_class.from_pretrained(
               __UpperCAmelCase       ,				use_fast=__UpperCAmelCase       ,				)
           lowercase__					  =    tokenizer_r(__UpperCAmelCase       ,				return_offsets_mapping=__UpperCAmelCase       ,				add_special_tokens=__UpperCAmelCase   )
           self.assertEqual(encoding.offset_mapping[0]       ,				(0, len(__UpperCAmelCase   ))   )
           self.assertEqual(
               encoding.offset_mapping[1]       ,				(len(__UpperCAmelCase   ) + 1, len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))       ,				)

           lowercase__					  =    f''' {text}'''

           lowercase__					  =    self.rust_tokenizer_class.from_pretrained(
               __UpperCAmelCase       ,				use_fast=__UpperCAmelCase       ,				)
           lowercase__					  =    tokenizer_r(__UpperCAmelCase       ,				return_offsets_mapping=__UpperCAmelCase       ,				add_special_tokens=__UpperCAmelCase   )
           self.assertEqual(encoding.offset_mapping[0]       ,				(1, 1 + len(__UpperCAmelCase   ))   )
           self.assertEqual(
               encoding.offset_mapping[1]       ,				(1 + len(__UpperCAmelCase   ) + 1, 1 + len(__UpperCAmelCase   ) + 1 + len(__UpperCAmelCase   ))       ,				)







  def     UpperCAmelCase	(     self    :str   ):






     '''simple docstring'''





     with self.assertRaises(__UpperCAmelCase   ) 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     UpperCAmelCase	(     self    :Dict   ):






     '''simple docstring'''





     super().test_tokenization_python_rust_equals()







  def     UpperCAmelCase	(     self    :List[Any]   ):






     '''simple docstring'''





     pass









"""simple docstring"""




def 						A							(  snake_case__		,					snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   1  # To kept the Calculated Value
			# Since C(n, k) = C(n, n-k)
			if k > (n - k):
						SCREAMING_SNAKE_CASE__										=   n - k
			# Calculate C(n,k)
			for i in range(snake_case__     ):
						result *= n - i
						result //= i + 1
			return result

def 						A							(  snake_case__     ):




			'''simple docstring'''


			return binomial_coefficient(2 * node_count		,					snake_case__     ) // (node_count + 1)

def 						A							(  snake_case__     ):




			'''simple docstring'''


			if n < 0:
						raise ValueError("""factorial() not defined for negative values"""     )
			SCREAMING_SNAKE_CASE__										=   1
			for i in range(1		,					n + 1     ):
						result *= i
			return result

def 						A							(  snake_case__     ):




			'''simple docstring'''


			return catalan_number(snake_case__     ) * factorial(snake_case__     )


if __name__ == "__main__":
						A_				:      Optional[int]           =			int(input("Enter the number of nodes: ").strip() or 0)
						if node_count <= 0:
												raise ValueError("We need some nodes to work with.")
						print(
						    F'Given {node_count} nodes, there are {binary_tree_count(node_count)} '
						    F'binary trees and {catalan_number(node_count)} binary search trees.'
						)


