


'''simple docstring'''






import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
__A	:	str     =     logging.getLogger(__name__)





def      UpperCAmelCase      (		):







		'''simple docstring'''
		snake_case_		:							Optional[Any]			       =						argparse.ArgumentParser(
		    description="""Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).""" )
		parser.add_argument("""--file_path"""				,      type=lowerCamelCase_				,      default="""data/dump.txt"""				,      help="""The path to the data.""" )
		parser.add_argument("""--tokenizer_type"""				,      type=lowerCamelCase_				,      default="""bert"""				,      choices=["""bert""", """roberta""", """gpt2"""] )
		parser.add_argument("""--tokenizer_name"""				,      type=lowerCamelCase_				,      default="""bert-base-uncased"""				,      help="""The tokenizer to use.""" )
		parser.add_argument("""--dump_file"""				,      type=lowerCamelCase_				,      default="""data/dump"""				,      help="""The dump file prefix.""" )
		snake_case_		:							List[str]			       =						parser.parse_args()

		logger.info(F'''Loading Tokenizer ({args.tokenizer_name})''' )
		if args.tokenizer_type == "bert":
				snake_case_		:							int			       =						BertTokenizer.from_pretrained(args.tokenizer_name )
				snake_case_		:							Union[str, Any]			       =						tokenizer.special_tokens_map["""cls_token"""]  # `[CLS]`
				snake_case_		:							str			       =						tokenizer.special_tokens_map["""sep_token"""]  # `[SEP]`
		elif args.tokenizer_type == "roberta":
				snake_case_		:							Dict			       =						RobertaTokenizer.from_pretrained(args.tokenizer_name )
				snake_case_		:							Tuple			       =						tokenizer.special_tokens_map["""cls_token"""]  # `<s>`
				snake_case_		:							Dict			       =						tokenizer.special_tokens_map["""sep_token"""]  # `</s>`
		elif args.tokenizer_type == "gpt2":
				snake_case_		:							str			       =						GPTaTokenizer.from_pretrained(args.tokenizer_name )
				snake_case_		:							Optional[int]			       =						tokenizer.special_tokens_map["""bos_token"""]  # `<|endoftext|>`
				snake_case_		:							Optional[Any]			       =						tokenizer.special_tokens_map["""eos_token"""]  # `<|endoftext|>`

		logger.info(F'''Loading text from {args.file_path}''' )
		with open(args.file_path				,      """r"""				,      encoding="""utf8""" ) as fp:
				snake_case_		:							Tuple			       =						fp.readlines()

		logger.info("""Start encoding""" )
		logger.info(F'''{len(lowerCamelCase_ )} examples to process.''' )

		snake_case_		:							int			       =						[]
		snake_case_		:							Any			       =						0
		snake_case_		:							Optional[Any]			       =						1_00_00
		snake_case_		:							Optional[Any]			       =						time.time()
		for text in data:
				snake_case_		:							Optional[Any]			       =						F'''{bos} {text.strip()} {sep}'''
				snake_case_		:							int			       =						tokenizer.encode(lowerCamelCase_				,      add_special_tokens=lowerCamelCase_ )
				rslt.append(lowerCamelCase_ )

				iter += 1
				if iter % interval == 0:
						snake_case_		:							Optional[Any]			       =						time.time()
						logger.info(F'''{iter} examples processed. - {(end-start):.2f}s/{interval}expl''' )
						snake_case_		:							Tuple			       =						time.time()
		logger.info("""Finished binarization""" )
		logger.info(F'''{len(lowerCamelCase_ )} examples processed.''' )

		snake_case_		:							Optional[int]			       =						F'''{args.dump_file}.{args.tokenizer_name}.pickle'''
		snake_case_		:							Dict			       =						tokenizer.vocab_size
		if vocab_size < (1 << 16):
				snake_case_		:							Any			       =						[np.uintaa(lowerCamelCase_ ) for d in rslt]
		else:
				snake_case_		:							Optional[Any]			       =						[np.intaa(lowerCamelCase_ ) for d in rslt]
		random.shuffle(rslt_ )
		logger.info(F'''Dump to {dp_file}''' )
		with open(lowerCamelCase_				,      """wb""" ) as handle:
				pickle.dump(rslt_				,      lowerCamelCase_				,      protocol=pickle.HIGHEST_PROTOCOL )


if __name__ == "__main__":
							main()



'''simple docstring'''






from __future__ import annotations

import math





def      UpperCAmelCase      (		lowerCamelCase_  :list				,      lowerCamelCase_  :list ):







		'''simple docstring'''
		if len(lowerCamelCase_ ) != 2 or len(a[0] ) != 2 or len(lowerCamelCase_ ) != 2 or len(b[0] ) != 2:
				raise Exception("""Matrices are not 2x2""" )
		snake_case_		:							Tuple			       =						[
		    [a[0][0] * b[0][0] + a[0][1] * b[1][0], a[0][0] * b[0][1] + a[0][1] * b[1][1]],
		    [a[1][0] * b[0][0] + a[1][1] * b[1][0], a[1][0] * b[0][1] + a[1][1] * b[1][1]],
		]
		return new_matrix





def      UpperCAmelCase      (		lowerCamelCase_  :list				,      lowerCamelCase_  :list ):







		'''simple docstring'''
		return [
		    [matrix_a[row][col] + matrix_b[row][col] for col in range(len(matrix_a[row] ) )]
		    for row in range(len(lowerCamelCase_ ) )
		]





def      UpperCAmelCase      (		lowerCamelCase_  :list				,      lowerCamelCase_  :list ):







		'''simple docstring'''
		return [
		    [matrix_a[row][col] - matrix_b[row][col] for col in range(len(matrix_a[row] ) )]
		    for row in range(len(lowerCamelCase_ ) )
		]





def      UpperCAmelCase      (		lowerCamelCase_  :list ):







		'''simple docstring'''
		if len(lowerCamelCase_ ) % 2 != 0 or len(a[0] ) % 2 != 0:
				raise Exception("""Odd matrices are not supported!""" )

		snake_case_		:							Optional[int]			       =						len(lowerCamelCase_ )
		snake_case_		:							List[str]			       =						matrix_length // 2

		snake_case_		:							Union[str, Any]			       =						[[a[i][j] for j in range(lowerCamelCase_				,      lowerCamelCase_ )] for i in range(lowerCamelCase_ )]
		snake_case_		:							Dict			       =						[
		    [a[i][j] for j in range(lowerCamelCase_				,      lowerCamelCase_ )] for i in range(lowerCamelCase_				,      lowerCamelCase_ )
		]

		snake_case_		:							str			       =						[[a[i][j] for j in range(lowerCamelCase_ )] for i in range(lowerCamelCase_ )]
		snake_case_		:							Dict			       =						[[a[i][j] for j in range(lowerCamelCase_ )] for i in range(lowerCamelCase_				,      lowerCamelCase_ )]

		return top_left, top_right, bot_left, bot_right





def      UpperCAmelCase      (		lowerCamelCase_  :list ):







		'''simple docstring'''
		return len(lowerCamelCase_ ), len(matrix[0] )





def      UpperCAmelCase      (		lowerCamelCase_  :list ):







		'''simple docstring'''
		print("""\n""".join(str(lowerCamelCase_ ) for line in matrix ) )





def      UpperCAmelCase      (		lowerCamelCase_  :list				,      lowerCamelCase_  :list ):







		'''simple docstring'''
		if matrix_dimensions(lowerCamelCase_ ) == (2, 2):
				return default_matrix_multiplication(lowerCamelCase_				,      lowerCamelCase_ )

		snake_case_       ,      snake_case_       ,      snake_case_       ,      snake_case_		:							Any			       =						split_matrix(lowerCamelCase_ )
		snake_case_       ,      snake_case_       ,      snake_case_       ,      snake_case_		:							List[Any]			       =						split_matrix(lowerCamelCase_ )

		snake_case_		:							Any			       =						actual_strassen(lowerCamelCase_				,      matrix_subtraction(lowerCamelCase_				,      lowerCamelCase_ ) )
		snake_case_		:							str			       =						actual_strassen(matrix_addition(lowerCamelCase_				,      lowerCamelCase_ )				,      lowerCamelCase_ )
		snake_case_		:							str			       =						actual_strassen(matrix_addition(lowerCamelCase_				,      lowerCamelCase_ )				,      lowerCamelCase_ )
		snake_case_		:							List[str]			       =						actual_strassen(lowerCamelCase_				,      matrix_subtraction(lowerCamelCase_				,      lowerCamelCase_ ) )
		snake_case_		:							Optional[int]			       =						actual_strassen(matrix_addition(lowerCamelCase_				,      lowerCamelCase_ )				,      matrix_addition(lowerCamelCase_				,      lowerCamelCase_ ) )
		snake_case_		:							Dict			       =						actual_strassen(matrix_subtraction(lowerCamelCase_				,      lowerCamelCase_ )				,      matrix_addition(lowerCamelCase_				,      lowerCamelCase_ ) )
		snake_case_		:							int			       =						actual_strassen(matrix_subtraction(lowerCamelCase_				,      lowerCamelCase_ )				,      matrix_addition(lowerCamelCase_				,      lowerCamelCase_ ) )

		snake_case_		:							List[Any]			       =						matrix_addition(matrix_subtraction(matrix_addition(lowerCamelCase_				,      lowerCamelCase_ )				,      lowerCamelCase_ )				,      lowerCamelCase_ )
		snake_case_		:							List[Any]			       =						matrix_addition(lowerCamelCase_				,      lowerCamelCase_ )
		snake_case_		:							str			       =						matrix_addition(lowerCamelCase_				,      lowerCamelCase_ )
		snake_case_		:							Any			       =						matrix_subtraction(matrix_subtraction(matrix_addition(lowerCamelCase_				,      lowerCamelCase_ )				,      lowerCamelCase_ )				,      lowerCamelCase_ )

		# construct the new matrix from our 4 quadrants
		snake_case_		:							Dict			       =						[]
		for i in range(len(lowerCamelCase_ ) ):
				new_matrix.append(top_left[i] + top_right[i] )
		for i in range(len(lowerCamelCase_ ) ):
				new_matrix.append(bot_left[i] + bot_right[i] )
		return new_matrix





def      UpperCAmelCase      (		lowerCamelCase_  :list				,      lowerCamelCase_  :list ):







		'''simple docstring'''
		if matrix_dimensions(lowerCamelCase_ )[1] != matrix_dimensions(lowerCamelCase_ )[0]:
				snake_case_		:							Optional[int]			       =						(
				    """Unable to multiply these matrices, please check the dimensions.\n"""
				    F'''Matrix A: {matrixa}\n'''
				    F'''Matrix B: {matrixa}'''
				)
				raise Exception(lowerCamelCase_ )
		snake_case_		:							Tuple			       =						matrix_dimensions(lowerCamelCase_ )
		snake_case_		:							Union[str, Any]			       =						matrix_dimensions(lowerCamelCase_ )

		if dimensiona[0] == dimensiona[1] and dimensiona[0] == dimensiona[1]:
				return [matrixa, matrixa]

		snake_case_		:							int			       =						max(*lowerCamelCase_				,      *lowerCamelCase_ )
		snake_case_		:							Union[str, Any]			       =						int(math.pow(2				,      math.ceil(math.loga(lowerCamelCase_ ) ) ) )
		snake_case_		:							Dict			       =						matrixa
		snake_case_		:							Optional[int]			       =						matrixa

		# Adding zeros to the matrices so that the arrays dimensions are the same and also
		# power of 2
		for i in range(0				,      lowerCamelCase_ ):
				if i < dimensiona[0]:
						for _ in range(dimensiona[1]				,      lowerCamelCase_ ):
								new_matrixa[i].append(0 )
				else:
						new_matrixa.append([0] * maxim )
				if i < dimensiona[0]:
						for _ in range(dimensiona[1]				,      lowerCamelCase_ ):
								new_matrixa[i].append(0 )
				else:
						new_matrixa.append([0] * maxim )

		snake_case_		:							Dict			       =						actual_strassen(lowerCamelCase_				,      lowerCamelCase_ )

		# Removing the additional zeros
		for i in range(0				,      lowerCamelCase_ ):
				if i < dimensiona[0]:
						for _ in range(dimensiona[1]				,      lowerCamelCase_ ):
								final_matrix[i].pop()
				else:
						final_matrix.pop()
		return final_matrix


if __name__ == "__main__":
							__A	:	Optional[int]     =     [
							    [2, 3, 4, 5],
							    [6, 4, 3, 1],
							    [2, 3, 6, 7],
							    [3, 1, 2, 4],
							    [2, 3, 4, 5],
							    [6, 4, 3, 1],
							    [2, 3, 6, 7],
							    [3, 1, 2, 4],
							    [2, 3, 4, 5],
							    [6, 2, 3, 1],
							]
							__A	:	List[str]     =     [[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
							print(strassen(matrixa, matrixa))