


'''simple docstring'''







from __future__ import annotations

import queue
class 						UpperCamelCase__       :



     """simple docstring"""






     def __init__(			self   ,						snake_case__ ):

            '''simple docstring'''

            _lowerCAmelCase     :				Union[str, Any]       =							data
            _lowerCAmelCase     :				Tuple       =							None
            _lowerCAmelCase     :				Optional[Any]       =							None






def       lowercase					():







       """simple docstring"""







       print('\n********Press N to stop entering at any point of time********\n'       )
       _lowerCAmelCase     :				Tuple       =							input('Enter the value of the root node: '       ).strip().lower()
       _lowerCAmelCase     :				queue.Queue       =							queue.Queue()
       _lowerCAmelCase     :				str       =							TreeNode(int(__UpperCamelCase       )       )
       q.put(__UpperCamelCase       )
       while not q.empty():
              _lowerCAmelCase     :				str       =							q.get()
              _lowerCAmelCase     :				Optional[Any]       =							f'Enter the left node of {node_found.data}: '
              _lowerCAmelCase     :				List[Any]       =							input(__UpperCamelCase       ).strip().lower() or "n"
              if check == "n":
                     return tree_node
              _lowerCAmelCase     :				Optional[int]       =							TreeNode(int(__UpperCamelCase       )       )
              _lowerCAmelCase     :				List[str]       =							left_node
              q.put(__UpperCamelCase       )
              _lowerCAmelCase     :				Dict       =							f'Enter the right node of {node_found.data}: '
              _lowerCAmelCase     :				List[str]       =							input(__UpperCamelCase       ).strip().lower() or "n"
              if check == "n":
                     return tree_node
              _lowerCAmelCase     :				str       =							TreeNode(int(__UpperCamelCase       )       )
              _lowerCAmelCase     :				Any       =							right_node
              q.put(__UpperCamelCase       )
       raise






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       print(node.data ,    end=','       )
       pre_order(node.left       )
       pre_order(node.right       )






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       in_order(node.left       )
       print(node.data ,    end=','       )
       in_order(node.right       )






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       post_order(node.left       )
       post_order(node.right       )
       print(node.data ,    end=','       )






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       _lowerCAmelCase     :				queue.Queue       =							queue.Queue()
       q.put(__UpperCamelCase       )
       while not q.empty():
              _lowerCAmelCase     :				Tuple       =							q.get()
              print(node_dequeued.data ,    end=','       )
              if node_dequeued.left:
                     q.put(node_dequeued.left       )
              if node_dequeued.right:
                     q.put(node_dequeued.right       )






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       _lowerCAmelCase     :				queue.Queue       =							queue.Queue()
       q.put(__UpperCamelCase       )
       while not q.empty():
              _lowerCAmelCase     :				int       =							[]
              while not q.empty():
                     _lowerCAmelCase     :				Union[str, Any]       =							q.get()
                     print(node_dequeued.data ,    end=','       )
                     if node_dequeued.left:
                            list_.append(node_dequeued.left       )
                     if node_dequeued.right:
                            list_.append(node_dequeued.right       )
              print()
              for node in list_:
                     q.put(__UpperCamelCase       )






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       _lowerCAmelCase     :				list[TreeNode]       =							[]
       _lowerCAmelCase     :				Optional[int]       =							node
       while n or stack:
              while n:  # start from root node, find its left child
                     print(n.data ,    end=','       )
                     stack.append(__UpperCamelCase       )
                     _lowerCAmelCase     :				int       =							n.left
              # end of while means current node doesn't have left child
              _lowerCAmelCase     :				Dict       =							stack.pop()
              # start to traverse its right child
              _lowerCAmelCase     :				str       =							n.right






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       _lowerCAmelCase     :				list[TreeNode]       =							[]
       _lowerCAmelCase     :				Dict       =							node
       while n or stack:
              while n:
                     stack.append(__UpperCamelCase       )
                     _lowerCAmelCase     :				List[Any]       =							n.left
              _lowerCAmelCase     :				str       =							stack.pop()
              print(n.data ,    end=','       )
              _lowerCAmelCase     :				Any       =							n.right






def       lowercase					(_A       ):







       """simple docstring"""







       if not isinstance(__UpperCamelCase ,    __UpperCamelCase       ) or not node:
              return
       _lowerCAmelCase     :				List[str]       =							[], []
       _lowerCAmelCase     :				List[Any]       =							node
       stacka.append(__UpperCamelCase       )
       while stacka:  # to find the reversed order of post order, store it in stack2
              _lowerCAmelCase     :				Optional[Any]       =							stacka.pop()
              if n.left:
                     stacka.append(n.left       )
              if n.right:
                     stacka.append(n.right       )
              stacka.append(__UpperCamelCase       )
       while stacka:  # pop up from stack2 will be the post order
              print(stacka.pop().data ,    end=','       )






def       lowercase					(_A = "" ,    _A=5_0 ,    _A="*"       ):







       """simple docstring"""







       if not s:
              return "\n" + width * char
       _lowerCAmelCase     :				int       =							divmod(width - len(__UpperCamelCase       ) - 2 ,    2       )
       return f'{left * char} {s} {(left + extra) * char}'


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       print(prompt("""Binary Tree Traversals"""))

       lowerCAmelCase     :  Union[str, Any]											=    build_tree()
       print(prompt("""Pre Order Traversal"""))
       pre_order(node)
       print(prompt() + """\n""")

       print(prompt("""In Order Traversal"""))
       in_order(node)
       print(prompt() + """\n""")

       print(prompt("""Post Order Traversal"""))
       post_order(node)
       print(prompt() + """\n""")

       print(prompt("""Level Order Traversal"""))
       level_order(node)
       print(prompt() + """\n""")

       print(prompt("""Actual Level Order Traversal"""))
       level_order_actual(node)
       print("""*""" * 50 + """\n""")

       print(prompt("""Pre Order Traversal - Iteration Version"""))
       pre_order_iter(node)
       print(prompt() + """\n""")

       print(prompt("""In Order Traversal - Iteration Version"""))
       in_order_iter(node)
       print(prompt() + """\n""")

       print(prompt("""Post Order Traversal - Iteration Version"""))
       post_order_iter(node)
       print(prompt())






import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

lowerCamelCase		       =      logging.get_logger(__name__)


lowerCamelCase		       =      {name: getattr(transformers, name + """Fast""") for name in SLOW_TO_FAST_CONVERTERS}






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase )	->						Dict:
				if tokenizer_name is not None and tokenizer_name not in TOKENIZER_CLASSES:
								raise ValueError(F'Unrecognized tokenizer name, should be one of {list(TOKENIZER_CLASSES.keys() )}.' )

				if tokenizer_name is None:
								a__	:							str      						= TOKENIZER_CLASSES
				else:
								a__	:							int      						= {tokenizer_name: getattr(__UpperCamelCase	,				tokenizer_name + "Fast" )}

				logger.info(F'Loading tokenizer classes: {tokenizer_names}' )

				for tokenizer_name in tokenizer_names:
								a__	:							Any      						= TOKENIZER_CLASSES[tokenizer_name]

								a__	:							Dict      						= True
								if checkpoint_name is None:
												a__	:							Tuple      						= list(tokenizer_class.max_model_input_sizes.keys() )
								else:
												a__	:							List[str]      						= [checkpoint_name]

								logger.info(F'For tokenizer {tokenizer_class.__class__.__name__} loading checkpoints: {checkpoint_names}' )

								for checkpoint in checkpoint_names:
												logger.info(F'Loading {tokenizer_class.__class__.__name__} {checkpoint}' )

												# Load tokenizer
												a__	:							List[str]      						= tokenizer_class.from_pretrained(__UpperCamelCase	,				force_download=__UpperCamelCase )

												# Save fast tokenizer
												logger.info(F'Save fast tokenizer to {dump_path} with prefix {checkpoint} add_prefix {add_prefix}' )

												# For organization names we create sub-directories
												if "/" in checkpoint:
																a__						,   a__	:							Dict      						= checkpoint.split("/" )
																a__	:							Any      						= os.path.join(__UpperCamelCase	,				__UpperCamelCase )
												elif add_prefix:
																a__	:							int      						= checkpoint
																a__	:							Optional[Any]      						= dump_path
												else:
																a__	:							Dict      						= None
																a__	:							Optional[Any]      						= dump_path

												logger.info(F'=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}' )

												if checkpoint in list(tokenizer.pretrained_vocab_files_map.values() )[0]:
																a__	:							Dict      						= list(tokenizer.pretrained_vocab_files_map.values() )[0][checkpoint]
																a__	:							Optional[Any]      						= file_path.split(__UpperCamelCase )[-1][0]
																if next_char == "/":
																				a__	:							Union[str, Any]      						= os.path.join(__UpperCamelCase	,				__UpperCamelCase )
																				a__	:							Any      						= None

																logger.info(F'=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}' )

												a__	:							Any      						= tokenizer.save_pretrained(
												    __UpperCamelCase	,				legacy_format=__UpperCamelCase	,				filename_prefix=__UpperCamelCase )
												logger.info(F'=> File names {file_names}' )

												for file_name in file_names:
																if not file_name.endswith("tokenizer.json" ):
																				os.remove(__UpperCamelCase )
																				logger.info(F'=> removing {file_name}' )


if __name__ == "__main__":
						lowerCamelCase		       =      argparse.ArgumentParser()
						# Required parameters
						parser.add_argument(
						    """--dump_path""", default=None, type=str, required=True, help="""Path to output generated fast tokenizer files."""
						)
						parser.add_argument(
						    """--tokenizer_name""",
						    default=None,
						    type=str,
						    help=(
						        F'Optional tokenizer type selected in the list of {list(TOKENIZER_CLASSES.keys())}. If not given, will '
						        """download and convert all the checkpoints from AWS."""
						    ),
						)
						parser.add_argument(
						    """--checkpoint_name""",
						    default=None,
						    type=str,
						    help="""Optional checkpoint name. If not given, will download and convert the canonical checkpoints from AWS.""",
						)
						parser.add_argument(
						    """--force_download""",
						    action="""store_true""",
						    help="""Re-download checkpoints.""",
						)
						lowerCamelCase		       =      parser.parse_args()

						convert_slow_checkpoint_to_fast(args.tokenizer_name, args.checkpoint_name, args.dump_path, args.force_download)


