

'''simple docstring'''

A_       						=							2_56
# Modulus to hash a string
A_       						=							1_00_00_03





def    A_  ( snake_case      ,       snake_case ):
  SCREAMING_SNAKE_CASE:Any						      =					len(snake_case )
  SCREAMING_SNAKE_CASE:Union[str, Any]						      =					len(snake_case )
  if p_len > t_len:
    return False

  SCREAMING_SNAKE_CASE:Any						      =					0
  SCREAMING_SNAKE_CASE:str						      =					0
  SCREAMING_SNAKE_CASE:str						      =					1

  # Calculating the hash of pattern and substring of text
  for i in range(snake_case ):
    SCREAMING_SNAKE_CASE:Dict						      =					(ord(pattern[i] ) + p_hash * alphabet_size) % modulus
    SCREAMING_SNAKE_CASE:Any						      =					(ord(text[i] ) + text_hash * alphabet_size) % modulus
    if i == p_len - 1:
      continue
    SCREAMING_SNAKE_CASE:Optional[int]						      =					(modulus_power * alphabet_size) % modulus

  for i in range(0      ,       t_len - p_len + 1 ):
    if text_hash == p_hash and text[i : i + p_len] == pattern:
      return True
    if i == t_len - p_len:
      continue
    # Calculate the https://en.wikipedia.org/wiki/Rolling_hash
    SCREAMING_SNAKE_CASE:List[str]						      =					(
        (text_hash - ord(text[i] ) * modulus_power) * alphabet_size
        + ord(text[i + p_len] )
    ) % modulus
  return False





def    A_  ( ):
  SCREAMING_SNAKE_CASE:Any						      =					"abc1abc12"
  SCREAMING_SNAKE_CASE:Union[str, Any]						      =					"alskfjaldsabc1abc1abc12k23adsfabcabc"
  SCREAMING_SNAKE_CASE:Tuple						      =					"alskfjaldsk23adsfabcabc"
  assert rabin_karp(snake_case      ,       snake_case ) and not rabin_karp(snake_case      ,       snake_case )

  # Test 2)
  SCREAMING_SNAKE_CASE:List[str]						      =					"ABABX"
  SCREAMING_SNAKE_CASE:Optional[Any]						      =					"ABABZABABYABABX"
  assert rabin_karp(snake_case      ,       snake_case )

  # Test 3)
  SCREAMING_SNAKE_CASE:List[str]						      =					"AAAB"
  SCREAMING_SNAKE_CASE:Optional[Any]						      =					"ABAAAAAB"
  assert rabin_karp(snake_case      ,       snake_case )

  # Test 4)
  SCREAMING_SNAKE_CASE:List[Any]						      =					"abcdabcy"
  SCREAMING_SNAKE_CASE:Tuple						      =					"abcxabcdabxabcdabcdabcy"
  assert rabin_karp(snake_case      ,       snake_case )

  # Test 5)
  SCREAMING_SNAKE_CASE:Any						      =					"Lü"
  SCREAMING_SNAKE_CASE:Any						      =					"Lüsai"
  assert rabin_karp(snake_case      ,       snake_case )
  SCREAMING_SNAKE_CASE:Optional[int]						      =					"Lue"
  assert not rabin_karp(snake_case      ,       snake_case )
  print("Success." )


if __name__ == "__main__":
    test_rabin_karp()









'''simple docstring'''

import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def    A_  ( snake_case ):
  SCREAMING_SNAKE_CASE:List[Any]						      =					[]
  for line in lines:
    SCREAMING_SNAKE_CASE:Any						      =					re.sub(r"#.*"      ,       ""      ,       snake_case )  # remove comments
    if line:
      filtered_lines.append(snake_case )
  SCREAMING_SNAKE_CASE:int						      =					"\n".join(snake_case )

  # Make a hash from all this code
  SCREAMING_SNAKE_CASE:str						      =					full_str.encode("utf-8" )
  return shaaaa(snake_case ).hexdigest()


# get importable module names and hash for caching
A_       						=							{
    "csv": (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    "json": (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    "pandas": (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    "parquet": (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    "arrow": (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    "text": (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    "imagefolder": (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    "audiofolder": (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
A_       						=							{
    ".csv": ("csv", {}),
    ".tsv": ("csv", {"sep": "\t"}),
    ".json": ("json", {}),
    ".jsonl": ("json", {}),
    ".parquet": ("parquet", {}),
    ".arrow": ("arrow", {}),
    ".txt": ("text", {}),
}
_EXTENSION_TO_MODULE.update({ext: ("imagefolder", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("imagefolder", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ("audiofolder", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("audiofolder", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
A_       						=							{"imagefolder", "audiofolder"}

# Used to filter data files based on extensions given a module name
A_       						=							{}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
    _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append(".zip")


_MODULE_TO_EXTENSIONS["audiofolder"].append(".zip")






