





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__      ,      )  ->    tuple[list[list[int]], list[list[str]]]:







			'''simple docstring'''

			UpperCAmelCase       		=    list(UpperCamelCase__			)
			UpperCAmelCase       		=    list(UpperCamelCase__			)
			UpperCAmelCase       		=    len(UpperCamelCase__			)
			UpperCAmelCase       		=    len(UpperCamelCase__			)

			UpperCAmelCase       		=    [
			    [0 for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
			]
			UpperCAmelCase       		=    [
			    ['''0''' for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
			]

			for i in range(1      ,      len_source_seq + 1			):
						UpperCAmelCase       		=    i * delete_cost
						UpperCAmelCase       		=    F"""D{source_seq[i - 1]:c}"""

			for i in range(1      ,      len_destination_seq + 1			):
						UpperCAmelCase       		=    i * insert_cost
						UpperCAmelCase       		=    F"""I{destination_seq[i - 1]:c}"""

			for i in range(1      ,      len_source_seq + 1			):
						for j in range(1      ,      len_destination_seq + 1			):
									if source_seq[i - 1] == destination_seq[j - 1]:
												UpperCAmelCase       		=    costs[i - 1][j - 1] + copy_cost
												UpperCAmelCase       		=    F"""C{source_seq[i - 1]:c}"""
									else:
												UpperCAmelCase       		=    costs[i - 1][j - 1] + replace_cost
												UpperCAmelCase       		=    F"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]			)

									if costs[i - 1][j] + delete_cost < costs[i][j]:
												UpperCAmelCase       		=    costs[i - 1][j] + delete_cost
												UpperCAmelCase       		=    F"""D{source_seq[i - 1]:c}"""

									if costs[i][j - 1] + insert_cost < costs[i][j]:
												UpperCAmelCase       		=    costs[i][j - 1] + insert_cost
												UpperCAmelCase       		=    F"""I{destination_seq[j - 1]:c}"""

			return costs, ops





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__			)  ->    list[str]:







			'''simple docstring'''

			if i == 0 and j == 0:
						return []
			else:
						if ops[i][j][0] == "C" or ops[i][j][0] == "R":
									UpperCAmelCase       		=    assemble_transformation(UpperCamelCase__      ,      i - 1      ,      j - 1			)
									seq.append(ops[i][j]			)
									return seq
						elif ops[i][j][0] == "D":
									UpperCAmelCase       		=    assemble_transformation(UpperCamelCase__      ,      i - 1      ,      UpperCamelCase__			)
									seq.append(ops[i][j]			)
									return seq
						else:
									UpperCAmelCase       		=    assemble_transformation(UpperCamelCase__      ,      UpperCamelCase__      ,      j - 1			)
									seq.append(ops[i][j]			)
									return seq


if __name__ == "__main__":
				__A   ,			__A    :   Optional[Any]          =       compute_transform_tables("Python", "Algorithms", -1, 1, 2, 2)

				__A    :   Tuple          =       len(operations)
				__A    :   List[str]          =       len(operations[0])
				__A    :   Dict          =       assemble_transformation(operations, m - 1, n - 1)

				__A    :   Tuple          =       list("Python")
				__A    :   Optional[int]          =       0
				__A    :   Union[str, Any]          =       0

				with open("min_cost.txt", "w") as file:
								for op in sequence:
												print("".join(string))

												if op[0] == "C":
																file.write("%-16s" % "Copy %c" % op[1])
																file.write("\t\t\t" + "".join(string))
																file.write("\r\n")

																cost -= 1
												elif op[0] == "R":
																__A    :   int          =       op[2]

																file.write("%-16s" % ("Replace %c" % op[1] + " with " + str(op[2])))
																file.write("\t\t" + "".join(string))
																file.write("\r\n")

																cost += 1
												elif op[0] == "D":
																string.pop(i)

																file.write("%-16s" % "Delete %c" % op[1])
																file.write("\t\t\t" + "".join(string))
																file.write("\r\n")

																cost += 2
												else:
																string.insert(i, op[1])

																file.write("%-16s" % "Insert %c" % op[1])
																file.write("\t\t\t" + "".join(string))
																file.write("\r\n")

																cost += 2

												i += 1

								print("".join(string))
								print("Cost: ", cost)

								file.write("\r\nMinimum cost: " + str(cost))










import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json





@pytest.fixture
def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    str:







			'''simple docstring'''

			UpperCAmelCase       		=    tmp_path / '''file.jsonl'''
			UpperCAmelCase       		=    textwrap.dedent(
			    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''			)
			with open(UpperCamelCase__      ,      '''w'''			) as f:
						f.write(UpperCamelCase__			)
			return str(UpperCamelCase__			)





@pytest.fixture
def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    Union[str, Any]:







			'''simple docstring'''

			UpperCAmelCase       		=    tmp_path / '''file_utf16_encoded.jsonl'''
			UpperCAmelCase       		=    textwrap.dedent(
			    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''			)
			with open(UpperCamelCase__      ,      '''w'''      ,      encoding='''utf-16'''			) as f:
						f.write(UpperCamelCase__			)
			return str(UpperCamelCase__			)





@pytest.fixture
def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    Optional[Any]:







			'''simple docstring'''

			UpperCAmelCase       		=    tmp_path / '''file_with_list_of_dicts.json'''
			UpperCAmelCase       		=    textwrap.dedent(
			    '''\
        [
            {"col_1": -1},
            {"col_1": 1, "col_2": 2},
            {"col_1": 10, "col_2": 20}
        ]
        '''			)
			with open(UpperCamelCase__      ,      '''w'''			) as f:
						f.write(UpperCamelCase__			)
			return str(UpperCamelCase__			)





@pytest.fixture
def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    int:







			'''simple docstring'''

			UpperCAmelCase       		=    tmp_path / '''file_with_list_of_dicts_field.json'''
			UpperCAmelCase       		=    textwrap.dedent(
			    '''\
        {
            "field1": 1,
            "field2": "aabb",
            "field3": [
                {"col_1": -1},
                {"col_1": 1, "col_2": 2},
                {"col_1": 10, "col_2": 20}
            ]
        }
        '''			)
			with open(UpperCamelCase__      ,      '''w'''			) as f:
						f.write(UpperCamelCase__			)
			return str(UpperCamelCase__			)





@pytest.mark.parametrize(
    '''file_fixture, config_kwargs'''      ,      [
        ('''jsonl_file''', {}),
        ('''jsonl_file_utf16_encoded''', {'''encoding''': '''utf-16'''}),
        ('''json_file_with_list_of_dicts''', {}),
        ('''json_file_with_list_of_dicts_field''', {'''field''': '''field3'''}),
    ]      ,      )
def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__			)  ->    Dict:







			'''simple docstring'''

			UpperCAmelCase       		=    Json(**UpperCamelCase__			)
			UpperCAmelCase       		=    json._generate_tables([[request.getfixturevalue(UpperCamelCase__			)]]			)
			UpperCAmelCase       		=    pa.concat_tables([table for _, table in generator]			)
			assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}






@pytest.mark.parametrize(
    '''file_fixture, config_kwargs'''      ,      [
        (
            '''jsonl_file''',
            {'''features''': Features({'''col_1''': Value('''int64'''			), '''col_2''': Value('''int64'''			), '''missing_col''': Value('''string'''			)}			)},
        ),
        (
            '''json_file_with_list_of_dicts''',
            {'''features''': Features({'''col_1''': Value('''int64'''			), '''col_2''': Value('''int64'''			), '''missing_col''': Value('''string'''			)}			)},
        ),
        (
            '''json_file_with_list_of_dicts_field''',
            {
                '''field''': '''field3''',
                '''features''': Features(
                    {'''col_1''': Value('''int64'''			), '''col_2''': Value('''int64'''			), '''missing_col''': Value('''string'''			)}			),
            },
        ),
    ]      ,      )
def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__      ,      UpperCamelCase__			)  ->    List[Any]:







			'''simple docstring'''

			UpperCAmelCase       		=    Json(**UpperCamelCase__			)
			UpperCAmelCase       		=    json._generate_tables([[request.getfixturevalue(UpperCamelCase__			)]]			)
			UpperCAmelCase       		=    pa.concat_tables([table for _, table in generator]			)
			assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}



