



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      __UpperCamelCase     (  _lowerCAmelCase		)	->  str:



    """simple docstring"""






    A			:	int										=       []
    for line in lines:
        A			:	int										=       re.sub(R"""#.*"""				,					""""""				,					_lowerCAmelCase		)  # remove comments
        if line:
            filtered_lines.append(_lowerCAmelCase		)
    A			:	Tuple										=       """\n""".join(_lowerCAmelCase		)

    # Make a hash from all this code
    A			:	Union[str, Any]										=       full_str.encode("""utf-8"""		)
    return shaaaa(_lowerCAmelCase		).hexdigest()


# get importable module names and hash for caching
SCREAMING_SNAKE_CASE_:List[Any]					=						{
    """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
SCREAMING_SNAKE_CASE_:Optional[Any]					=						{
    """.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})
SCREAMING_SNAKE_CASE_:Optional[int]					=						{"""imagefolder""", """audiofolder"""}

# Used to filter data files based on extensions given a module name
SCREAMING_SNAKE_CASE_:Dict[str, List[str]]					=						{}
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""")







from random import randint, random




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase = False				,					_lowerCAmelCase = False				,					_lowerCAmelCase = 5				,					)	->  list:



    """simple docstring"""






    A			:	Any										=       [[-1] * number_of_cells]  # Create a highway without any car
    A			:	Tuple										=       0
    A			:	Dict										=       max(_lowerCAmelCase				,					0		)
    while i < number_of_cells:
        A			:	Any										=       (
            randint(0				,					_lowerCAmelCase		) if random_speed else initial_speed
        )  # Place the cars
        i += (
            randint(1				,					max_speed * 2		) if random_frequency else frequency
        )  # Arbitrary number, may need tuning
    return highway




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase		)	->  int:



    """simple docstring"""






    A			:	List[str]										=       0
    A			:	Dict										=       highway_now[car_index + 1 :]
    for cell in range(len(_lowerCAmelCase		)		):  # May need a better name for this
        if cells[cell] != -1:  # If the cell is not empty then
            return distance  # we have the distance we wanted
        distance += 1
    # Here if the car is near the end of the highway
    return distance + get_distance(_lowerCAmelCase				,					-1		)




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase		)	->  list:



    """simple docstring"""






    A			:	str										=       len(_lowerCAmelCase		)
    # Beforce calculations, the highway is empty
    A			:	Any										=       [-1] * number_of_cells

    for car_index in range(_lowerCAmelCase		):
        if highway_now[car_index] != -1:
            # Add 1 to the current speed of the car and cap the speed
            A			:	str										=       min(highway_now[car_index] + 1				,					_lowerCAmelCase		)
            # Number of empty cell before the next car
            A			:	Optional[int]										=       get_distance(_lowerCAmelCase				,					_lowerCAmelCase		) - 1
            # We can't have the car causing an accident
            A			:	Any										=       min(next_highway[car_index]				,					_lowerCAmelCase		)
            if random() < probability:
                # Randomly, a driver will slow down
                A			:	Optional[Any]										=       max(next_highway[car_index] - 1				,					0		)
    return next_highway




def      __UpperCamelCase     (  _lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase				,					_lowerCAmelCase		)	->  list:



    """simple docstring"""






    A			:	Any										=       len(highway[0]		)

    for i in range(_lowerCAmelCase		):
        A			:	Optional[int]										=       update(highway[i]				,					_lowerCAmelCase				,					_lowerCAmelCase		)
        A			:	Tuple										=       [-1] * number_of_cells

        for car_index in range(_lowerCAmelCase		):
            A			:	Dict										=       next_speeds_calculated[car_index]
            if speed != -1:
                # Change the position based on the speed (with % to create the loop)
                A			:	Optional[int]										=       (car_index + speed) % number_of_cells
                # Commit the change of position
                A			:	Dict										=       speed
        highway.append(_lowerCAmelCase		)

    return highway


if __name__ == "__main__":
     import doctest

     doctest.testmod()


