





import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer


def _A  (       __magic_name__    ,   __magic_name__    ,   __magic_name__    ,   __magic_name__=1024			):
   lowercase__  ,				lowercase__					  =    [], []

   lowercase__					  =    list(zip(snake_case__    ,   snake_case__			)			)
   lowercase__  ,				lowercase__					  =    sorted_examples[0]

   def is_too_big(__magic_name__			):
      return tok(snake_case__    ,   return_tensors="pt"			).input_ids.shape[1] > max_tokens

   for src, tgt in tqdm(sorted_examples[1:]			):
      lowercase__					  =    new_src + " " + src
      lowercase__					  =    new_tgt + " " + tgt
      if is_too_big(snake_case__			) or is_too_big(snake_case__			):  # cant fit, finalize example
         finished_src.append(snake_case__			)
         finished_tgt.append(snake_case__			)
         lowercase__  ,				lowercase__					  =    src, tgt
      else:  # can fit, keep adding
         lowercase__  ,				lowercase__					  =    cand_src, cand_tgt

    # cleanup
   if new_src:
      assert new_tgt
      finished_src.append(snake_case__			)
      finished_tgt.append(snake_case__			)
   return finished_src, finished_tgt


def _A  (       __magic_name__    ,   __magic_name__    ,   __magic_name__    ,   __magic_name__			):
   lowercase__					  =    Path(snake_case__			)
   save_path.mkdir(exist_ok=snake_case__			)
   for split in ["train"]:
      lowercase__  ,				lowercase__					  =    data_dir / f'''{split}.source''', data_dir / f'''{split}.target'''
      lowercase__					  =    [x.rstrip() for x in Path(snake_case__			).open().readlines()]
      lowercase__					  =    [x.rstrip() for x in Path(snake_case__			).open().readlines()]
      lowercase__  ,				lowercase__					  =    pack_examples(snake_case__    ,   snake_case__    ,   snake_case__    ,   snake_case__			)
      print(f'''packed {split} split from {len(snake_case__			)} examples -> {len(snake_case__			)}.'''			)
      Path(save_path / f'''{split}.source'''			).open("w"			).write("\n".join(snake_case__			)			)
      Path(save_path / f'''{split}.target'''			).open("w"			).write("\n".join(snake_case__			)			)
   for split in ["val", "test"]:
      lowercase__  ,				lowercase__					  =    data_dir / f'''{split}.source''', data_dir / f'''{split}.target'''
      shutil.copyfile(snake_case__    ,   save_path / f'''{split}.source'''			)
      shutil.copyfile(snake_case__    ,   save_path / f'''{split}.target'''			)


def _A  (       ):
   lowercase__					  =    argparse.ArgumentParser()
   parser.add_argument("--tok_name"    ,   type=snake_case__    ,   help="like facebook/bart-large-cnn,t5-base, etc."			)
   parser.add_argument("--max_seq_len"    ,   type=snake_case__    ,   default=128			)
   parser.add_argument("--data_dir"    ,   type=snake_case__			)
   parser.add_argument("--save_path"    ,   type=snake_case__			)
   lowercase__					  =    parser.parse_args()
   lowercase__					  =    AutoTokenizer.from_pretrained(args.tok_name			)
   return pack_data_dir(snake_case__    ,   Path(args.data_dir			)    ,   args.max_seq_len    ,   args.save_path			)


if __name__ == "__main__":
  packer_cli()









"""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.'
						)


