


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        a					(			_UpperCAmelCase     ,unittest.TestCase   ):
     UpperCAmelCase__ :  str						      =	GPTaTokenizer
     UpperCAmelCase__ :  List[Any]						      =	GPTaTokenizerFast
     UpperCAmelCase__ :  List[Any]						      =	True
     UpperCAmelCase__ :  Optional[Any]						      =	{"add_prefix_space": True}
     UpperCAmelCase__ :  Dict						      =	False





     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]							):
        super().setUp()

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

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				int    ,	**SCREAMING_SNAKE_CASE_					:				List[Any]							):
        kwargs.update(self.special_tokens_map							)
        return GPTaTokenizer.from_pretrained(self.tmpdirname    ,	**SCREAMING_SNAKE_CASE_							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				Union[str, Any]    ,	**SCREAMING_SNAKE_CASE_					:				Optional[int]							):
        kwargs.update(self.special_tokens_map							)
        return GPTaTokenizerFast.from_pretrained(self.tmpdirname    ,	**SCREAMING_SNAKE_CASE_							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				List[str]    ,	SCREAMING_SNAKE_CASE_					:				Optional[Any]							):
        __lowerCamelCase:				List[str]     =	"""lower newer"""
        __lowerCamelCase:				str     =	"""lower newer"""
        return input_text, output_text





     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[int]							):
        __lowerCamelCase:				Optional[Any]     =	GPTaTokenizer(self.vocab_file    ,	self.merges_file    ,	**self.special_tokens_map							)
        __lowerCamelCase:				int     =	"""lower newer"""
        __lowerCamelCase:				Union[str, Any]     =	["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
        __lowerCamelCase:				Dict     =	tokenizer.tokenize(SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_							)
        self.assertListEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				Union[str, Any]     =	tokens + [tokenizer.unk_token]
        __lowerCamelCase:				int     =	[14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_							)    ,	SCREAMING_SNAKE_CASE_							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				List[Any]							):
        if not self.test_rust_tokenizer:
           return

        __lowerCamelCase:				Optional[int]     =	self.get_tokenizer()
        __lowerCamelCase:				Union[str, Any]     =	self.get_rust_tokenizer(add_prefix_space=SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				List[str]     =	"""lower newer"""

        # Testing tokenization
        __lowerCamelCase:				List[str]     =	tokenizer.tokenize(SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				List[str]     =	rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_							)
        self.assertListEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

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

        # Testing conversion to ids with special tokens
        __lowerCamelCase:				str     =	self.get_rust_tokenizer(add_prefix_space=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Tuple     =	tokenizer.encode(SCREAMING_SNAKE_CASE_    ,	add_prefix_space=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Optional[int]     =	rust_tokenizer.encode(SCREAMING_SNAKE_CASE_							)
        self.assertListEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        # Testing the unknown token
        __lowerCamelCase:				str     =	tokens + [rust_tokenizer.unk_token]
        __lowerCamelCase:				int     =	[14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_							)    ,	SCREAMING_SNAKE_CASE_							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				Any    ,	*SCREAMING_SNAKE_CASE_					:				Dict    ,	**SCREAMING_SNAKE_CASE_					:				List[str]							):
        # 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  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]    ,	SCREAMING_SNAKE_CASE_					:				Tuple=15							):
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'							):
              __lowerCamelCase:				List[str]     =	self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_    ,	**SCREAMING_SNAKE_CASE_							)

              # Simple input
              __lowerCamelCase:				Dict     =	"""This is a simple input"""
              __lowerCamelCase:				Optional[int]     =	["""This is a simple input 1""", """This is a simple input 2"""]
              __lowerCamelCase:				List[Any]     =	("""This is a simple input""", """This is a pair""")
              __lowerCamelCase:				Optional[int]     =	[
                  ("""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(SCREAMING_SNAKE_CASE_    ,	tokenizer_r.encode    ,	SCREAMING_SNAKE_CASE_    ,	max_length=SCREAMING_SNAKE_CASE_    ,	padding="""max_length"""							)

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

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

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

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

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				str							):
        __lowerCamelCase:				Any     =	GPTaTokenizer.from_pretrained(self.tmpdirname    ,	pad_token="""<pad>"""							)

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

        __lowerCamelCase:				Dict     =	tokenizer.pad_token_id

        __lowerCamelCase:				List[Any]     =	tokenizer(SCREAMING_SNAKE_CASE_    ,	padding="""max_length"""    ,	max_length=30    ,	return_tensors="""np"""							)
        __lowerCamelCase:				List[Any]     =	tokenizer(SCREAMING_SNAKE_CASE_    ,	padding=SCREAMING_SNAKE_CASE_    ,	truncate=SCREAMING_SNAKE_CASE_    ,	return_tensors="""np"""							)
        __lowerCamelCase:				Optional[int]     =	tokenizer(*SCREAMING_SNAKE_CASE_    ,	padding="""max_length"""    ,	max_length=60    ,	return_tensors="""np"""							)
        __lowerCamelCase:				Dict     =	tokenizer(SCREAMING_SNAKE_CASE_    ,	padding=SCREAMING_SNAKE_CASE_    ,	truncate=SCREAMING_SNAKE_CASE_    ,	return_tensors="""np"""							)

        # s
        # test single string max_length padding
        self.assertEqual(out_s["""input_ids"""].shape[-1]    ,	30							)
        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]    ,	33							)
        # 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]    ,	60							)
        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]    ,	52							)
        # 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  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        __lowerCamelCase:				List[Any]     =	"""$$$"""
        __lowerCamelCase:				List[str]     =	GPTaTokenizer.from_pretrained(self.tmpdirname    ,	bos_token=SCREAMING_SNAKE_CASE_    ,	add_bos_token=SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				Any     =	"""This is a simple input"""
        __lowerCamelCase:				int     =	["""This is a simple input 1""", """This is a simple input 2"""]

        __lowerCamelCase:				str     =	tokenizer.bos_token_id

        __lowerCamelCase:				str     =	tokenizer(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Optional[Any]     =	tokenizer(SCREAMING_SNAKE_CASE_							)

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

        __lowerCamelCase:				Tuple     =	tokenizer.decode(out_s.input_ids							)
        __lowerCamelCase:				List[Any]     =	tokenizer.batch_decode(out_sa.input_ids							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Tuple							):
        pass







     def  SCREAMING_SNAKE_CASE__       (    self					:				Tuple							):
        # TODO: change to self.get_tokenizers() when the fast version is implemented
        __lowerCamelCase:				List[str]     =	[self.get_tokenizer(do_lower_case=SCREAMING_SNAKE_CASE_    ,	add_bos_token=SCREAMING_SNAKE_CASE_							)]
        for tokenizer in tokenizers:
           with self.subTest(F'{tokenizer.__class__.__name__}'							):
              __lowerCamelCase:				int     =	"""Encode this."""
              __lowerCamelCase:				List[Any]     =	"""This one too please."""
              __lowerCamelCase:				Any     =	tokenizer.encode(SCREAMING_SNAKE_CASE_    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)
              encoded_sequence += tokenizer.encode(SCREAMING_SNAKE_CASE_    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)
              __lowerCamelCase:				List[Any]     =	tokenizer.encode_plus(
                  SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_    ,	add_special_tokens=SCREAMING_SNAKE_CASE_    ,	return_special_tokens_mask=SCREAMING_SNAKE_CASE_    ,	)
              __lowerCamelCase:				Tuple     =	encoded_sequence_dict["""input_ids"""]
              __lowerCamelCase:				Any     =	encoded_sequence_dict["""special_tokens_mask"""]
              self.assertEqual(len(SCREAMING_SNAKE_CASE_							)    ,	len(SCREAMING_SNAKE_CASE_							)							)

              __lowerCamelCase:				List[Any]     =	[
                  (x if not special_tokens_mask[i] else None) for i, x in enumerate(SCREAMING_SNAKE_CASE_							)
              ]
              __lowerCamelCase:				Tuple     =	[x for x in filtered_sequence if x is not None]
              self.assertEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)



@require_tokenizers
class        a					(			unittest.TestCase   ):





     def  SCREAMING_SNAKE_CASE__       (    self					:				Tuple							):
        # 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

        __lowerCamelCase:				Tuple     =	AutoTokenizer.from_pretrained("""facebook/opt-350m"""    ,	from_slow=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Tuple     =	"""A photo of a cat"""

        __lowerCamelCase:				List[str]     =	tokenizer.encode(
            SCREAMING_SNAKE_CASE_    ,	)
        self.assertEqual(SCREAMING_SNAKE_CASE_    ,	[2, 250, 1345, 9, 10, 4758]							)
        tokenizer.save_pretrained("""test_opt"""							)

        __lowerCamelCase:				Any     =	AutoTokenizer.from_pretrained("""./test_opt"""							)
        __lowerCamelCase:				Optional[Any]     =	tokenizer.encode(
            SCREAMING_SNAKE_CASE_    ,	)
        self.assertEqual(SCREAMING_SNAKE_CASE_    ,	[2, 250, 1345, 9, 10, 4758]							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        __lowerCamelCase:				int     =	AutoTokenizer.from_pretrained("""facebook/opt-350m"""    ,	use_slow=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Optional[int]     =	"""A photo of a cat"""

        __lowerCamelCase:				Optional[int]     =	tokenizer.encode(
            SCREAMING_SNAKE_CASE_    ,	)
        # Same as above
        self.assertEqual(SCREAMING_SNAKE_CASE_    ,	[2, 250, 1345, 9, 10, 4758]							)







     @unittest.skip("""This test is failing because of a bug in the fast tokenizer"""							)
     def  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        __lowerCamelCase:				Dict     =	AutoTokenizer.from_pretrained("""facebook/opt-350m"""    ,	from_slow=SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				str     =	"""bos"""
        __lowerCamelCase:				Optional[Any]     =	tokenizer.get_vocab()["""bos"""]

        __lowerCamelCase:				str     =	"""A photo of a cat"""
        __lowerCamelCase:				Optional[int]     =	tokenizer.encode(
            SCREAMING_SNAKE_CASE_    ,	)
        # We changed the bos token
        self.assertEqual(SCREAMING_SNAKE_CASE_    ,	[31957, 250, 1345, 9, 10, 4758]							)
        tokenizer.save_pretrained("""./tok"""							)
        __lowerCamelCase:				List[Any]     =	AutoTokenizer.from_pretrained("""./tok"""							)
        self.assertTrue(tokenizer.is_fast							)
        __lowerCamelCase:				int     =	tokenizer.encode(
            SCREAMING_SNAKE_CASE_    ,	)
        self.assertEqual(SCREAMING_SNAKE_CASE_    ,	[31957, 250, 1345, 9, 10, 4758]							)






class        a					:





     def __init__(    self					:				Any    ,	SCREAMING_SNAKE_CASE_					:				str = ""    ,	SCREAMING_SNAKE_CASE_					:				bool = False							):
        # Mapping from the first character of the prefix of the node
        __lowerCamelCase:				dict[str, RadixNode]     =	{}

        # A node will be a leaf if the tree contains its word
        __lowerCamelCase:				str     =	is_leaf

        __lowerCamelCase:				Optional[int]     =	prefix





     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[int]    ,	SCREAMING_SNAKE_CASE_					:				str							):
        __lowerCamelCase:				Optional[Any]     =	0
        for q, w in zip(self.prefix    ,	SCREAMING_SNAKE_CASE_							):
           if q != w:
              break

           x += 1

        return self.prefix[:x], self.prefix[x:], word[x:]





     def  SCREAMING_SNAKE_CASE__       (    self					:				Any    ,	SCREAMING_SNAKE_CASE_					:				list[str]							):
        for word in words:
           self.insert(SCREAMING_SNAKE_CASE_							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				List[Any]    ,	SCREAMING_SNAKE_CASE_					:				str							):
        # Case 1: If the word is the prefix of the node
        # Solution: We set the current node as leaf
        if self.prefix == word:
           __lowerCamelCase:				Union[str, Any]     =	True

        # Case 2: The node has no edges that have a prefix to the word
        # Solution: We create an edge from the current node to a new one
        # containing the word
        elif word[0] not in self.nodes:
           __lowerCamelCase:				Any     =	RadixNode(prefix=SCREAMING_SNAKE_CASE_    ,	is_leaf=SCREAMING_SNAKE_CASE_							)

        else:
           __lowerCamelCase:				Union[str, Any]     =	self.nodes[word[0]]
           __lowerCamelCase   ,     __lowerCamelCase   ,     __lowerCamelCase:				List[str]     =	incoming_node.match(
               SCREAMING_SNAKE_CASE_							)

           # Case 3: The node prefix is equal to the matching
           # Solution: We insert remaining word on the next node
           if remaining_prefix == "":
              self.nodes[matching_string[0]].insert(SCREAMING_SNAKE_CASE_							)

           # Case 4: The word is greater equal to the matching
           # Solution: Create a node in between both nodes, change
           # prefixes and add the new node for the remaining word
           else:
              __lowerCamelCase:				List[Any]     =	remaining_prefix

              __lowerCamelCase:				Optional[Any]     =	self.nodes[matching_string[0]]
              __lowerCamelCase:				Optional[int]     =	RadixNode(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)
              __lowerCamelCase:				Union[str, Any]     =	aux_node

              if remaining_word == "":
                 __lowerCamelCase:				Optional[int]     =	True
              else:
                 self.nodes[matching_string[0]].insert(SCREAMING_SNAKE_CASE_							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				int    ,	SCREAMING_SNAKE_CASE_					:				str							):
        __lowerCamelCase:				int     =	self.nodes.get(word[0]    ,	SCREAMING_SNAKE_CASE_							)
        if not incoming_node:
           return False
        else:
           __lowerCamelCase   ,     __lowerCamelCase   ,     __lowerCamelCase:				Any     =	incoming_node.match(
               SCREAMING_SNAKE_CASE_							)
           # If there is remaining prefix, the word can't be on the tree
           if remaining_prefix != "":
              return False
           # This applies when the word and the prefix are equal
           elif remaining_word == "":
              return incoming_node.is_leaf
           # We have word remaining so we check the next node
           else:
              return incoming_node.find(SCREAMING_SNAKE_CASE_							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				str    ,	SCREAMING_SNAKE_CASE_					:				str							):
        __lowerCamelCase:				str     =	self.nodes.get(word[0]    ,	SCREAMING_SNAKE_CASE_							)
        if not incoming_node:
           return False
        else:
           __lowerCamelCase   ,     __lowerCamelCase   ,     __lowerCamelCase:				Dict     =	incoming_node.match(
               SCREAMING_SNAKE_CASE_							)
           # If there is remaining prefix, the word can't be on the tree
           if remaining_prefix != "":
              return False
           # We have word remaining so we check the next node
           elif remaining_word != "":
              return incoming_node.delete(SCREAMING_SNAKE_CASE_							)
           else:
              # If it is not a leaf, we don't have to delete
              if not incoming_node.is_leaf:
                 return False
              else:
                 # We delete the nodes if no edges go from it
                 if len(incoming_node.nodes							) == 0:
                    del self.nodes[word[0]]
                    # We merge the current node with its only child
                    if len(self.nodes							) == 1 and not self.is_leaf:
                       __lowerCamelCase:				List[Any]     =	list(self.nodes.values()							)[0]
                       __lowerCamelCase:				Any     =	merging_node.is_leaf
                       self.prefix += merging_node.prefix
                       __lowerCamelCase:				Tuple     =	merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
                 elif len(incoming_node.nodes							) > 1:
                    __lowerCamelCase:				int     =	False
                 # If there is 1 edge, we merge it with its child
                 else:
                    __lowerCamelCase:				Union[str, Any]     =	list(incoming_node.nodes.values()							)[0]
                    __lowerCamelCase:				List[str]     =	merging_node.is_leaf
                    incoming_node.prefix += merging_node.prefix
                    __lowerCamelCase:				Union[str, Any]     =	merging_node.nodes

                 return True







     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[int]    ,	SCREAMING_SNAKE_CASE_					:				int = 0							):
        if self.prefix != "":
           print("""-""" * height    ,	self.prefix    ,	"""  (leaf)""" if self.is_leaf else """"""							)

        for value in self.nodes.values():
           value.print_tree(height + 1							)



def     __lowerCAmelCase						(							)       ->							bool:
   __lowerCamelCase:				Optional[int]     =	"""banana bananas bandana band apple all beast""".split()
   __lowerCamelCase:				Optional[Any]     =	RadixNode()
   root.insert_many(snake_case )

   assert all(root.find(snake_case ) for word in words )
   assert not root.find("""bandanas""" )
   assert not root.find("""apps""" )
   root.delete("""all""" )
   assert not root.find("""all""" )
   root.delete("""banana""" )
   assert not root.find("""banana""" )
   assert root.find("""bananas""" )

   return True



def     __lowerCAmelCase						(							)       ->							None:
   assert test_trie()



def     __lowerCAmelCase						(							)       ->							None:
   __lowerCamelCase:				int     =	RadixNode()
   __lowerCamelCase:				str     =	"""banana bananas bandanas bandana band apple all beast""".split()
   root.insert_many(snake_case )

   print("""Words:"""						,      snake_case )
   print("""Tree:""" )
   root.print_tree()


if __name__ == "__main__":
   main()


