from __future__ import annotations

from collections.abc import Mapping
from typing import TYPE_CHECKING, Any, TypeVar

from attrs import define as _attrs_define
from attrs import field as _attrs_field

if TYPE_CHECKING:
    from ..models.poll_combined_search_response_200_output_data_type_0_items_item_num_matching_locations_type_0_matched_offices_item import (
        PollCombinedSearchResponse200OutputDataType0ItemsItemNumMatchingLocationsType0MatchedOfficesItem,
    )


T = TypeVar("T", bound="PollCombinedSearchResponse200OutputDataType0ItemsItemNumMatchingLocationsType0")


@_attrs_define
class PollCombinedSearchResponse200OutputDataType0ItemsItemNumMatchingLocationsType0:
    """
    Attributes:
        num_offices_matched (float):
        matched_offices
            (list[PollCombinedSearchResponse200OutputDataType0ItemsItemNumMatchingLocationsType0MatchedOfficesItem]):
    """

    num_offices_matched: float
    matched_offices: list[
        PollCombinedSearchResponse200OutputDataType0ItemsItemNumMatchingLocationsType0MatchedOfficesItem
    ]
    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)

    def to_dict(self) -> dict[str, Any]:
        num_offices_matched = self.num_offices_matched

        matched_offices = []
        for matched_offices_item_data in self.matched_offices:
            matched_offices_item = matched_offices_item_data.to_dict()
            matched_offices.append(matched_offices_item)

        field_dict: dict[str, Any] = {}
        field_dict.update(self.additional_properties)
        field_dict.update(
            {
                "num_offices_matched": num_offices_matched,
                "matched_offices": matched_offices,
            }
        )

        return field_dict

    @classmethod
    def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
        from ..models.poll_combined_search_response_200_output_data_type_0_items_item_num_matching_locations_type_0_matched_offices_item import (
            PollCombinedSearchResponse200OutputDataType0ItemsItemNumMatchingLocationsType0MatchedOfficesItem,
        )

        d = dict(src_dict)
        num_offices_matched = d.pop("num_offices_matched")

        matched_offices = []
        _matched_offices = d.pop("matched_offices")
        for matched_offices_item_data in _matched_offices:
            matched_offices_item = PollCombinedSearchResponse200OutputDataType0ItemsItemNumMatchingLocationsType0MatchedOfficesItem.from_dict(
                matched_offices_item_data
            )

            matched_offices.append(matched_offices_item)

        poll_combined_search_response_200_output_data_type_0_items_item_num_matching_locations_type_0 = cls(
            num_offices_matched=num_offices_matched,
            matched_offices=matched_offices,
        )

        poll_combined_search_response_200_output_data_type_0_items_item_num_matching_locations_type_0.additional_properties = d
        return poll_combined_search_response_200_output_data_type_0_items_item_num_matching_locations_type_0

    @property
    def additional_keys(self) -> list[str]:
        return list(self.additional_properties.keys())

    def __getitem__(self, key: str) -> Any:
        return self.additional_properties[key]

    def __setitem__(self, key: str, value: Any) -> None:
        self.additional_properties[key] = value

    def __delitem__(self, key: str) -> None:
        del self.additional_properties[key]

    def __contains__(self, key: str) -> bool:
        return key in self.additional_properties
