

"""simple docstring"""




import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class 			__UpperCamelCase (   _lowerCAmelCase     ,		unittest.TestCase						):
		SCREAMING_SNAKE_CASE								=    RealmTokenizer
		SCREAMING_SNAKE_CASE								=    RealmTokenizerFast
		SCREAMING_SNAKE_CASE								=    True
		SCREAMING_SNAKE_CASE								=    True
		SCREAMING_SNAKE_CASE								=    filter_non_english


		def 					SCREAMING_SNAKE_CASE__   (self :		int):
							super().setUp()

							A			=					[
							    "[UNK]",
							    "[CLS]",
							    "[SEP]",
							    "[PAD]",
							    "[MASK]",
							    "want",
							    "##want",
							    "##ed",
							    "wa",
							    "un",
							    "runn",
							    "##ing",
							    ",",
							    "low",
							    "lowest",
							]
							A			=					os.path.join(self.tmpdirname     ,     VOCAB_FILES_NAMES["vocab_file"])
							with open(self.vocab_file     ,     "w"     ,     encoding="utf-8") as vocab_writer:
												vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))


		def 					SCREAMING_SNAKE_CASE__   (self :		Any     ,     __SCREAMING_SNAKE_CASE :		Optional[int]):
							A			=					"UNwant\u00E9d,running"
							A			=					"unwanted, running"
							return input_text, output_text


		def 					SCREAMING_SNAKE_CASE__   (self :		str):
							A			=					self.tokenizer_class(self.vocab_file)

							A			=					tokenizer.tokenize("UNwant\u00E9d,running")
							self.assertListEqual(A__     ,     ["un", "##want", "##ed", ",", "runn", "##ing"])
							self.assertListEqual(tokenizer.convert_tokens_to_ids(A__)     ,     [9, 6, 7, 1_2, 1_0, 1_1])


		def 					SCREAMING_SNAKE_CASE__   (self :		int):
							if not self.test_rust_tokenizer:
												return

							A			=					self.get_tokenizer()
							A			=					self.get_rust_tokenizer()

							A			=					"UNwant\u00E9d,running"

							A			=					tokenizer.tokenize(A__)
							A			=					rust_tokenizer.tokenize(A__)
							self.assertListEqual(A__     ,     A__)

							A			=					tokenizer.encode(A__     ,     add_special_tokens=A__)
							A			=					rust_tokenizer.encode(A__     ,     add_special_tokens=A__)
							self.assertListEqual(A__     ,     A__)

							A			=					self.get_rust_tokenizer()
							A			=					tokenizer.encode(A__)
							A			=					rust_tokenizer.encode(A__)
							self.assertListEqual(A__     ,     A__)

							# With lower casing
							A			=					self.get_tokenizer(do_lower_case=A__)
							A			=					self.get_rust_tokenizer(do_lower_case=A__)

							A			=					"UNwant\u00E9d,running"

							A			=					tokenizer.tokenize(A__)
							A			=					rust_tokenizer.tokenize(A__)
							self.assertListEqual(A__     ,     A__)

							A			=					tokenizer.encode(A__     ,     add_special_tokens=A__)
							A			=					rust_tokenizer.encode(A__     ,     add_special_tokens=A__)
							self.assertListEqual(A__     ,     A__)

							A			=					self.get_rust_tokenizer()
							A			=					tokenizer.encode(A__)
							A			=					rust_tokenizer.encode(A__)
							self.assertListEqual(A__     ,     A__)


		def 					SCREAMING_SNAKE_CASE__   (self :		List[str]):
							A			=					BasicTokenizer()

							self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz")     ,     ["ah", "\u535A", "\u63A8", "zz"])


		def 					SCREAMING_SNAKE_CASE__   (self :		Optional[int]):
							A			=					BasicTokenizer(do_lower_case=A__)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  ")     ,     ["hello", "!", "how", "are", "you", "?"])
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo")     ,     ["hello"])


		def 					SCREAMING_SNAKE_CASE__   (self :		Dict):
							A			=					BasicTokenizer(do_lower_case=A__     ,     strip_accents=A__)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")     ,     ["hällo", "!", "how", "are", "you", "?"])
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo")     ,     ["h\u00E9llo"])


		def 					SCREAMING_SNAKE_CASE__   (self :		Union[str, Any]):
							A			=					BasicTokenizer(do_lower_case=A__     ,     strip_accents=A__)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")     ,     ["hallo", "!", "how", "are", "you", "?"])
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo")     ,     ["hello"])


		def 					SCREAMING_SNAKE_CASE__   (self :		int):
							A			=					BasicTokenizer(do_lower_case=A__)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")     ,     ["hallo", "!", "how", "are", "you", "?"])
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo")     ,     ["hello"])


		def 					SCREAMING_SNAKE_CASE__   (self :		Dict):
							A			=					BasicTokenizer(do_lower_case=A__)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  ")     ,     ["HeLLo", "!", "how", "Are", "yoU", "?"])


		def 					SCREAMING_SNAKE_CASE__   (self :		str):
							A			=					BasicTokenizer(do_lower_case=A__     ,     strip_accents=A__)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")     ,     ["HäLLo", "!", "how", "Are", "yoU", "?"])


		def 					SCREAMING_SNAKE_CASE__   (self :		Optional[int]):
							A			=					BasicTokenizer(do_lower_case=A__     ,     strip_accents=A__)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  ")     ,     ["HaLLo", "!", "how", "Are", "yoU", "?"])


		def 					SCREAMING_SNAKE_CASE__   (self :		List[Any]):
							A			=					BasicTokenizer(do_lower_case=A__     ,     never_split=["[UNK]"])

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]")     ,     ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"])


		def 					SCREAMING_SNAKE_CASE__   (self :		Optional[int]):
							A			=					["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

							A			=					{}
							for i, token in enumerate(A__):
												A			=					i
							A			=					WordpieceTokenizer(vocab=A__     ,     unk_token="[UNK]")

							self.assertListEqual(tokenizer.tokenize("")     ,     [])

							self.assertListEqual(tokenizer.tokenize("unwanted running")     ,     ["un", "##want", "##ed", "runn", "##ing"])

							self.assertListEqual(tokenizer.tokenize("unwantedX running")     ,     ["[UNK]", "runn", "##ing"])


		def 					SCREAMING_SNAKE_CASE__   (self :		Optional[int]):
							self.assertTrue(_is_whitespace(" "))
							self.assertTrue(_is_whitespace("\t"))
							self.assertTrue(_is_whitespace("\r"))
							self.assertTrue(_is_whitespace("\n"))
							self.assertTrue(_is_whitespace("\u00A0"))

							self.assertFalse(_is_whitespace("A"))
							self.assertFalse(_is_whitespace("-"))


		def 					SCREAMING_SNAKE_CASE__   (self :		int):
							self.assertTrue(_is_control("\u0005"))

							self.assertFalse(_is_control("A"))
							self.assertFalse(_is_control(" "))
							self.assertFalse(_is_control("\t"))
							self.assertFalse(_is_control("\r"))


		def 					SCREAMING_SNAKE_CASE__   (self :		str):
							self.assertTrue(_is_punctuation("-"))
							self.assertTrue(_is_punctuation("$"))
							self.assertTrue(_is_punctuation("`"))
							self.assertTrue(_is_punctuation("."))

							self.assertFalse(_is_punctuation("A"))
							self.assertFalse(_is_punctuation(" "))


		def 					SCREAMING_SNAKE_CASE__   (self :		Dict):
							A			=					self.get_tokenizer()

							# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
							self.assertListEqual([tokenizer.tokenize(A__) for t in ["Test", "\xad", "test"]]     ,     [["[UNK]"], [], ["[UNK]"]])

							if self.test_rust_tokenizer:
												A			=					self.get_rust_tokenizer()
												self.assertListEqual(
												    [rust_tokenizer.tokenize(A__) for t in ["Test", "\xad", "test"]]     ,     [["[UNK]"], [], ["[UNK]"]])


		@slow
		def 					SCREAMING_SNAKE_CASE__   (self :		List[str]):
							A			=					self.tokenizer_class.from_pretrained("bert-base-uncased")

							A			=					tokenizer.encode("sequence builders"     ,     add_special_tokens=A__)
							A			=					tokenizer.encode("multi-sequence build"     ,     add_special_tokens=A__)

							A			=					tokenizer.build_inputs_with_special_tokens(A__)
							A			=					tokenizer.build_inputs_with_special_tokens(A__     ,     A__)

							assert encoded_sentence == [1_0_1] + text + [1_0_2]
							assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]


		def 					SCREAMING_SNAKE_CASE__   (self :		Any):
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
																	A			=					self.rust_tokenizer_class.from_pretrained(A__     ,     **A__)

																	A			=					F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
																	A			=					tokenizer_r.encode_plus(
																	    A__     ,     return_attention_mask=A__     ,     return_token_type_ids=A__     ,     return_offsets_mapping=A__     ,     add_special_tokens=A__     ,     )

																	A			=					tokenizer_r.do_lower_case if hasattr(A__     ,     "do_lower_case") else False
																	A			=					(
																	    [
																	        ((0, 0), tokenizer_r.cls_token),
																	        ((0, 1), "A"),
																	        ((1, 2), ","),
																	        ((3, 5), "na"),
																	        ((5, 6), "##ï"),
																	        ((6, 8), "##ve"),
																	        ((9, 1_5), tokenizer_r.mask_token),
																	        ((1_6, 2_1), "Allen"),
																	        ((2_1, 2_3), "##NL"),
																	        ((2_3, 2_4), "##P"),
																	        ((2_5, 3_3), "sentence"),
																	        ((3_3, 3_4), "."),
																	        ((0, 0), tokenizer_r.sep_token),
																	    ]
																	    if not do_lower_case
																	    else [
																	        ((0, 0), tokenizer_r.cls_token),
																	        ((0, 1), "a"),
																	        ((1, 2), ","),
																	        ((3, 8), "naive"),
																	        ((9, 1_5), tokenizer_r.mask_token),
																	        ((1_6, 2_1), "allen"),
																	        ((2_1, 2_3), "##nl"),
																	        ((2_3, 2_4), "##p"),
																	        ((2_5, 3_3), "sentence"),
																	        ((3_3, 3_4), "."),
																	        ((0, 0), tokenizer_r.sep_token),
																	    ]
																	)

																	self.assertEqual(
																	    [e[1] for e in expected_results]     ,     tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]))
																	self.assertEqual([e[0] for e in expected_results]     ,     tokens["offset_mapping"])


		@slow
		def 					SCREAMING_SNAKE_CASE__   (self :		Any):
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
																	A			=					self.rust_tokenizer_class.from_pretrained(A__     ,     **A__)
																	A			=					self.tokenizer_class.from_pretrained(A__     ,     **A__)
																	A			=					[["Hello world!", "Nice to meet you!"], ["The cute cat.", "The adorable dog."]]

																	A			=					tokenizer_r.batch_encode_candidates(A__     ,     max_length=1_0     ,     return_tensors="np")
																	A			=					tokenizer_p.batch_encode_candidates(A__     ,     max_length=1_0     ,     return_tensors="np")

																	A			=					(2, 2, 1_0)

																	self.assertEqual(encoded_sentence_r["input_ids"].shape     ,     A__)
																	self.assertEqual(encoded_sentence_r["attention_mask"].shape     ,     A__)
																	self.assertEqual(encoded_sentence_r["token_type_ids"].shape     ,     A__)

																	self.assertEqual(encoded_sentence_p["input_ids"].shape     ,     A__)
																	self.assertEqual(encoded_sentence_p["attention_mask"].shape     ,     A__)
																	self.assertEqual(encoded_sentence_p["token_type_ids"].shape     ,     A__)











from __future__ import annotations

import sys






class 	A	:
     """simple docstring"""

     def __init__(			self     :      str		,     A__     :      str		,     A__     :      int	) ->				str:
           lowerCamelCase__					     = letter
           lowerCamelCase__					     = freq
           lowerCamelCase__					     = {}




     def __repr__(			self     :      Any	) ->				str:
           return F"""{self.letter}:{self.freq}"""






class 	A	:
     """simple docstring"""

     def __init__(			self     :      Optional[Any]		,     A__     :      int		,     A__     :      Letter | TreeNode		,     A__     :      Letter | TreeNode	) ->				Any:
           lowerCamelCase__					     = freq
           lowerCamelCase__					     = left
           lowerCamelCase__					     = right

def 	lowerCAmelCase_	(     lowerCamelCase:				str  )    ->	list[Letter]:


      '''simple docstring'''




      lowerCamelCase__					     = {}
      with open(lowerCamelCase  ) as f:
            while True:
                  lowerCamelCase__					     = f.read(1  )
                  if not c:
                        break
                  lowerCamelCase__					     = chars[c] + 1 if c in chars else 1
      return sorted((Letter(lowerCamelCase   , lowerCamelCase  ) for c, f in chars.items())   , key=lambda lowerCamelCase  : x.freq  )

def 	lowerCAmelCase_	(     lowerCamelCase:				list[Letter]  )    ->	Letter | TreeNode:


      '''simple docstring'''




      lowerCamelCase__					     = letters  # type: ignore
      while len(lowerCamelCase  ) > 1:
            lowerCamelCase__					     = response.pop(0  )
            lowerCamelCase__					     = response.pop(0  )
            lowerCamelCase__					     = left.freq + right.freq
            lowerCamelCase__					     = TreeNode(lowerCamelCase   , lowerCamelCase   , lowerCamelCase  )
            response.append(lowerCamelCase  )
            response.sort(key=lambda lowerCamelCase  : x.freq  )
      return response[0]

def 	lowerCAmelCase_	(     lowerCamelCase:				Letter | TreeNode   , lowerCamelCase:				str  )    ->	list[Letter]:


      '''simple docstring'''




      if isinstance(lowerCamelCase   , lowerCamelCase  ):
            lowerCamelCase__					     = bitstring
            return [root]
      lowerCamelCase__					     = root  # type: ignore
      lowerCamelCase__					     = []
      letters += traverse_tree(treenode.left   , bitstring + '0'  )
      letters += traverse_tree(treenode.right   , bitstring + '1'  )
      return letters

def 	lowerCAmelCase_	(     lowerCamelCase:				str  )    ->	None:


      '''simple docstring'''




      lowerCamelCase__					     = parse_file(lowerCamelCase  )
      lowerCamelCase__					     = build_tree(lowerCamelCase  )
      lowerCamelCase__					     = {
          k: v for letter in traverse_tree(lowerCamelCase   , ''  ) for k, v in letter.bitstring.items()
      }
      print(f"""Huffman Coding  of {file_path}: """  )
      with open(lowerCamelCase  ) as f:
            while True:
                  lowerCamelCase__					     = f.read(1  )
                  if not c:
                        break
                  print(letters[c]   , end=' '  )
      print()


if __name__ == "__main__":
      # pass the file path to the huffman function
      huffman(sys.argv[1])