






"""simple docstring"""

import textwrap

import pyarrow as pa
import pytest

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






@pytest.fixture
def _lowerCAmelCase						(	__lowerCamelCase:Dict ):

						'''simple docstring'''






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






@pytest.fixture
def _lowerCAmelCase						(	__lowerCamelCase:Optional[Any] ):

						'''simple docstring'''






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






@pytest.fixture
def _lowerCAmelCase						(	__lowerCamelCase:Any ):

						'''simple docstring'''






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






@pytest.fixture
def _lowerCAmelCase						(	__lowerCamelCase:List[str] ):

						'''simple docstring'''






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






@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 _lowerCAmelCase						(	__lowerCamelCase:Any			,    __lowerCamelCase:Union[str, Any]			,    __lowerCamelCase:Optional[int] ):

						'''simple docstring'''






						__magic_name__      =  Json(**_lowerCAmelCase )
						__magic_name__      =  json._generate_tables([[request.getfixturevalue(_lowerCAmelCase )]] )
						__magic_name__      =  pa.concat_tables([table for _, table in generator] )
						assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0]}






@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 _lowerCAmelCase						(	__lowerCamelCase:List[Any]			,    __lowerCamelCase:List[Any]			,    __lowerCamelCase:List[Any] ):

						'''simple docstring'''






						__magic_name__      =  Json(**_lowerCAmelCase )
						__magic_name__      =  json._generate_tables([[request.getfixturevalue(_lowerCAmelCase )]] )
						__magic_name__      =  pa.concat_tables([table for _, table in generator] )
						assert pa_table.to_pydict() == {"col_1": [-1, 1, 1_0], "col_2": [None, 2, 2_0], "missing_col": [None, None, None]}




"""simple docstring"""


def 						UpperCamelCase				(	_lowerCAmelCase   :							Dict				, _lowerCAmelCase   :							Tuple						):
    __a			      =						len(_lowerCAmelCase						)
    # Create a stack and push index of fist element to it
    __a			      =						[]
    st.append(0						)

    # Span value of first element is always 1
    __a			      =						1

    # Calculate span values for rest of the elements
    for i in range(1				, _lowerCAmelCase						):
        # Pop elements from stack while stack is not
        # empty and top of stack is smaller than price[i]
        while len(_lowerCAmelCase						) > 0 and price[st[0]] <= price[i]:
            st.pop()

        # If stack becomes empty, then price[i] is greater
        # than all elements on left of it, i.e. price[0],
        # price[1], ..price[i-1]. Else the price[i]  is
        # greater than elements after top of stack
        __a			      =						i + 1 if len(_lowerCAmelCase						) <= 0 else (i - st[0])

        # Push this element to stack
        st.append(_lowerCAmelCase						)

def 						UpperCamelCase				(	_lowerCAmelCase   :							Dict				, _lowerCAmelCase   :							Optional[Any]						):
    for i in range(0				, _lowerCAmelCase						):
        print(arr[i]				, end=""" """						)


# Driver program to test above function
__A       			=      [10, 4, 5, 90, 1_20, 80]
__A       			=      [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)






print_array(S, len(price))
