
def     UpperCAmelCase_  (						__lowerCAmelCase	,					__lowerCAmelCase	,					__lowerCAmelCase	) ->						Optional[Any]:


    def update_area_of_max_square(__lowerCAmelCase	,					__lowerCAmelCase	) -> int:
        # BASE CASE
        if row >= rows or col >= cols:
            return 0

        __lowercase		:			Any	    =       update_area_of_max_square(_lowerCamelCase	,					col + 1	)
        __lowercase		:			Dict	    =       update_area_of_max_square(row + 1	,					col + 1	)
        __lowercase		:			Any	    =       update_area_of_max_square(row + 1	,					_lowerCamelCase	)

        if mat[row][col]:
            __lowercase		:			Any	    =       1 + min([right, diagonal, down]	)
            __lowercase		:			Any	    =       max(largest_square_area[0]	,					_lowerCamelCase	)
            return sub_problem_sol
        else:
            return 0

    __lowercase		:			Tuple	    =       [0]
    update_area_of_max_square(0	,					0	)
    return largest_square_area[0]


def     UpperCAmelCase_  (						__lowerCAmelCase	,					__lowerCAmelCase	,					__lowerCAmelCase	) ->						Union[str, Any]:


    def update_area_of_max_square_using_dp_array(
        __lowerCAmelCase	,					__lowerCAmelCase	,					__lowerCAmelCase	) -> int:
        if row >= rows or col >= cols:
            return 0
        if dp_array[row][col] != -1:
            return dp_array[row][col]

        __lowercase		:			Optional[Any]	    =       update_area_of_max_square_using_dp_array(_lowerCamelCase	,					col + 1	,					_lowerCamelCase	)
        __lowercase		:			Dict	    =       update_area_of_max_square_using_dp_array(row + 1	,					col + 1	,					_lowerCamelCase	)
        __lowercase		:			Any	    =       update_area_of_max_square_using_dp_array(row + 1	,					_lowerCamelCase	,					_lowerCamelCase	)

        if mat[row][col]:
            __lowercase		:			Optional[int]	    =       1 + min([right, diagonal, down]	)
            __lowercase		:			Tuple	    =       max(largest_square_area[0]	,					_lowerCamelCase	)
            __lowercase		:			Optional[Any]	    =       sub_problem_sol
            return sub_problem_sol
        else:
            return 0

    __lowercase		:			str	    =       [0]
    __lowercase		:			Union[str, Any]	    =       [[-1] * cols for _ in range(_lowerCamelCase	)]
    update_area_of_max_square_using_dp_array(0	,					0	,					_lowerCamelCase	)

    return largest_square_area[0]


def     UpperCAmelCase_  (						__lowerCAmelCase	,					__lowerCAmelCase	,					__lowerCAmelCase	) ->						str:
    __lowercase		:			str	    =       [[0] * (cols + 1) for _ in range(rows + 1	)]
    __lowercase		:			Dict	    =       0
    for row in range(rows - 1	,					-1	,					-1	):
        for col in range(cols - 1	,					-1	,					-1	):
            __lowercase		:			Any	    =       dp_array[row][col + 1]
            __lowercase		:			List[str]	    =       dp_array[row + 1][col + 1]
            __lowercase		:			Tuple	    =       dp_array[row + 1][col]

            if mat[row][col] == 1:
                __lowercase		:			Dict	    =       1 + min(_lowerCamelCase	,					_lowerCamelCase	,					_lowerCamelCase	)
                __lowercase		:			str	    =       max(dp_array[row][col]	,					_lowerCamelCase	)
            else:
                __lowercase		:			int	    =       0

    return largest_square_area


def     UpperCAmelCase_  (						__lowerCAmelCase	,					__lowerCAmelCase	,					__lowerCAmelCase	) ->						List[Any]:
    __lowercase		:			Dict	    =       [0] * (cols + 1)
    __lowercase		:			List[str]	    =       [0] * (cols + 1)
    __lowercase		:			List[str]	    =       0
    for row in range(rows - 1	,					-1	,					-1	):
        for col in range(cols - 1	,					-1	,					-1	):
            __lowercase		:			List[Any]	    =       current_row[col + 1]
            __lowercase		:			Dict	    =       next_row[col + 1]
            __lowercase		:			int	    =       next_row[col]

            if mat[row][col] == 1:
                __lowercase		:			Union[str, Any]	    =       1 + min(_lowerCamelCase	,					_lowerCamelCase	,					_lowerCamelCase	)
                __lowercase		:			List[str]	    =       max(current_row[col]	,					_lowerCamelCase	)
            else:
                __lowercase		:			Optional[int]	    =       0
        __lowercase		:			Tuple	    =       current_row

    return largest_square_area


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 1]]))




import csv

import tweepy

# Twitter API credentials
__lowerCAmelCase					:			str			      =		""
__lowerCAmelCase					:			Any			      =		""
__lowerCAmelCase					:			Any			      =		""
__lowerCAmelCase					:			Optional[int]			      =		""


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						None:
    # authorize twitter, initialize tweepy
    __lowercase		:			List[Any]	    =       tweepy.OAuthHandler(__lowerCAmelCase	,					__lowerCAmelCase	)
    auth.set_access_token(__lowerCAmelCase	,					__lowerCAmelCase	)
    __lowercase		:			str	    =       tweepy.API(__lowerCAmelCase	)

    # initialize a list to hold all the tweepy Tweets
    __lowercase		:			Union[str, Any]	    =       []

    # make initial request for most recent tweets (200 is the maximum allowed count)
    __lowercase		:			List[Any]	    =       api.user_timeline(screen_name=__lowerCAmelCase	,					count=200	)

    # save most recent tweets
    alltweets.extend(__lowerCAmelCase	)

    # save the id of the oldest tweet less one
    __lowercase		:			Any	    =       alltweets[-1].id - 1

    # keep grabbing tweets until there are no tweets left to grab
    while len(__lowerCAmelCase	) > 0:
        print(F'getting tweets before {oldest}'	)

        # all subsequent requests use the max_id param to prevent duplicates
        __lowercase		:			Tuple	    =       api.user_timeline(
            screen_name=__lowerCAmelCase	,					count=200	,					max_id=__lowerCAmelCase	)

        # save most recent tweets
        alltweets.extend(__lowerCAmelCase	)

        # update the id of the oldest tweet less one
        __lowercase		:			Any	    =       alltweets[-1].id - 1

        print(F'...{len(__lowerCAmelCase	)} tweets downloaded so far'	)

    # transform the tweepy tweets into a 2D array that will populate the csv
    __lowercase		:			Optional[int]	    =       [[tweet.id_str, tweet.created_at, tweet.text] for tweet in alltweets]

    # write the csv
    with open(F'new_{screen_name}_tweets.csv'	,					'''w'''	) as f:
        __lowercase		:			int	    =       csv.writer(__lowerCAmelCase	)
        writer.writerow(['''id''', '''created_at''', '''text''']	)
        writer.writerows(__lowerCAmelCase	)


if __name__ == "__main__":
 # pass in the username of the account you want to download
 get_all_tweets("FirePing32")


