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arihant2matharihant2math
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release bump
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‎.idea/misc.xml‎

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‎ftc_api/custom_templates/pyproject.toml.jinja‎

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@@ -2,7 +2,7 @@
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name = "ftc_api"
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description = "A python client to access the FIRST Tech Challenge API"
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authors = [
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{name = "Ashwin Naren", email="[email protected]"}
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{ name = "Ashwin Naren", email = "[email protected]" }
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]
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license = {file = "LICENSE"}
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readme = "README.md"

‎ftc_api/models/__init__.py‎

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from .award_assignment_list import AwardAssignmentList
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from .award_list import AwardList
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from .barcode_element import BarcodeElement
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from .coordinate import Coordinate
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from .coordinate_equality_comparer import CoordinateEqualityComparer
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from .coordinate_sequence import CoordinateSequence
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from .coordinate_sequence_factory import CoordinateSequenceFactory
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from .dimension import Dimension
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from .endgame_parked_status import EndgameParkedStatus
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from .envelope import Envelope
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from .event import Event
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from .event_list import EventList
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from .event_ranking_list import EventRankingList
@@ -23,6 +29,9 @@
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FreightFrenzySingleTeamScoreDetails,
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)
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from .ftc_event_level import FTCEventLevel
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from .geometry import Geometry
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from .geometry_factory import GeometryFactory
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from .geometry_overlay import GeometryOverlay
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from .get_v20_season_schedule_event_code_tournament_level_hybrid_tournament_level import (
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GetV20SeasonScheduleEventCodeTournamentLevelHybridTournamentLevel,
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)
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from .match_result_list import MatchResultList
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from .match_result_team import MatchResultTeam
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from .match_score_list import MatchScoreList
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from .nts_geometry_services import NtsGeometryServices
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from .ogc_geometry_type import OgcGeometryType
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from .ordinates import Ordinates
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from .point import Point
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from .power_play_alliance_score_breakdown import PowerPlayAllianceScoreBreakdown
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from .power_play_alliance_score_details import PowerPlayAllianceScoreDetails
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from .power_play_remote_score_breakdown import PowerPlayRemoteScoreBreakdown
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from .power_play_single_team_score_details import PowerPlaySingleTeamScoreDetails
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from .precision_model import PrecisionModel
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from .precision_models import PrecisionModels
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from .scheduled_match import ScheduledMatch
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from .scheduled_match_list import ScheduledMatchList
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from .scheduled_match_team import ScheduledMatchTeam
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"AwardAssignmentList",
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"AwardList",
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"BarcodeElement",
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"Coordinate",
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"CoordinateEqualityComparer",
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"CoordinateSequence",
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"CoordinateSequenceFactory",
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"Dimension",
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"EndgameParkedStatus",
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"Envelope",
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"Event",
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"EventList",
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"EventRankingList",
@@ -84,6 +105,9 @@
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"FreightFrenzyRemoteScoreBreakdown",
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"FreightFrenzySingleTeamScoreDetails",
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"FTCEventLevel",
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"Geometry",
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"GeometryFactory",
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"GeometryOverlay",
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"GetV20SeasonScheduleEventCodeTournamentLevelHybridTournamentLevel",
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"GetV20SeasonScoresEventCodeTournamentLevelTournamentLevel",
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"HybridSchedule",
@@ -97,10 +121,16 @@
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"MatchResultList",
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"MatchResultTeam",
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"MatchScoreList",
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"NtsGeometryServices",
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"OgcGeometryType",
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"Ordinates",
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"Point",
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"PowerPlayAllianceScoreBreakdown",
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"PowerPlayAllianceScoreDetails",
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"PowerPlayRemoteScoreBreakdown",
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"PowerPlaySingleTeamScoreDetails",
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"PrecisionModel",
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"PrecisionModels",
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"ScheduledMatch",
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"ScheduledMatchList",
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"ScheduledMatchTeam",

‎ftc_api/models/coordinate.py‎

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from typing import Any, Dict, Type, TypeVar, Union
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import attr
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from ..types import UNSET, Unset
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T = TypeVar("T", bound="Coordinate")
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@attr.s(auto_attribs=True)
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class Coordinate:
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"""
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Attributes:
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x (Union[Unset, float]):
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y (Union[Unset, float]):
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z (Union[Unset, float]):
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m (Union[Unset, float]):
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coordinate_value (Union[Unset, Coordinate]):
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"""
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x: Union[Unset, float] = UNSET
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y: Union[Unset, float] = UNSET
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z: Union[Unset, float] = UNSET
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m: Union[Unset, float] = UNSET
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coordinate_value: Union[Unset, "Coordinate"] = UNSET
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def to_dict(self) -> Dict[str, Any]:
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x = self.x
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y = self.y
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z = self.z
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m = self.m
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coordinate_value: Union[Unset, Dict[str, Any]] = UNSET
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if not isinstance(self.coordinate_value, Unset):
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coordinate_value = self.coordinate_value.to_dict()
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field_dict: Dict[str, Any] = {}
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field_dict.update({})
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if x is not UNSET:
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field_dict["x"] = x
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if y is not UNSET:
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field_dict["y"] = y
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if z is not UNSET:
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field_dict["z"] = z
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if m is not UNSET:
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field_dict["m"] = m
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if coordinate_value is not UNSET:
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field_dict["coordinateValue"] = coordinate_value
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return field_dict
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@classmethod
52+
def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
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d = src_dict.copy()
54+
x = d.pop("x", UNSET)
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y = d.pop("y", UNSET)
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z = d.pop("z", UNSET)
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m = d.pop("m", UNSET)
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_coordinate_value = d.pop("coordinateValue", UNSET)
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coordinate_value: Union[Unset, Coordinate]
64+
if isinstance(_coordinate_value, Unset):
65+
coordinate_value = UNSET
66+
else:
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coordinate_value = Coordinate.from_dict(_coordinate_value)
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coordinate = cls(
70+
x=x,
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y=y,
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z=z,
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m=m,
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coordinate_value=coordinate_value,
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)
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return coordinate

‎ftc_api/models/coordinate_equality_comparer.py‎

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from typing import Any, Dict, Type, TypeVar
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import attr
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T = TypeVar("T", bound="CoordinateEqualityComparer")
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@attr.s(auto_attribs=True)
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class CoordinateEqualityComparer:
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""" """
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def to_dict(self) -> Dict[str, Any]:
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field_dict: Dict[str, Any] = {}
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field_dict.update({})
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return field_dict
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@classmethod
19+
def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
20+
src_dict.copy()
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coordinate_equality_comparer = cls()
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return coordinate_equality_comparer

‎ftc_api/models/coordinate_sequence.py‎

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from typing import Any, Dict, Type, TypeVar, Union
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import attr
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from ..models.ordinates import Ordinates
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from ..types import UNSET, Unset
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T = TypeVar("T", bound="CoordinateSequence")
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@attr.s(auto_attribs=True)
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class CoordinateSequence:
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"""
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Attributes:
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dimension (Union[Unset, int]):
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measures (Union[Unset, int]):
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spatial (Union[Unset, int]):
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ordinates (Union[Unset, Ordinates]):
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has_z (Union[Unset, bool]):
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has_m (Union[Unset, bool]):
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z_ordinate_index (Union[Unset, int]):
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m_ordinate_index (Union[Unset, int]):
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count (Union[Unset, int]):
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"""
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dimension: Union[Unset, int] = UNSET
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measures: Union[Unset, int] = UNSET
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spatial: Union[Unset, int] = UNSET
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ordinates: Union[Unset, Ordinates] = UNSET
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has_z: Union[Unset, bool] = UNSET
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has_m: Union[Unset, bool] = UNSET
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z_ordinate_index: Union[Unset, int] = UNSET
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m_ordinate_index: Union[Unset, int] = UNSET
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count: Union[Unset, int] = UNSET
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def to_dict(self) -> Dict[str, Any]:
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dimension = self.dimension
38+
measures = self.measures
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spatial = self.spatial
40+
ordinates: Union[Unset, str] = UNSET
41+
if not isinstance(self.ordinates, Unset):
42+
ordinates = self.ordinates.value
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44+
has_z = self.has_z
45+
has_m = self.has_m
46+
z_ordinate_index = self.z_ordinate_index
47+
m_ordinate_index = self.m_ordinate_index
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count = self.count
49+
50+
field_dict: Dict[str, Any] = {}
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field_dict.update({})
52+
if dimension is not UNSET:
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field_dict["dimension"] = dimension
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if measures is not UNSET:
55+
field_dict["measures"] = measures
56+
if spatial is not UNSET:
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field_dict["spatial"] = spatial
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if ordinates is not UNSET:
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field_dict["ordinates"] = ordinates
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if has_z is not UNSET:
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field_dict["hasZ"] = has_z
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if has_m is not UNSET:
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field_dict["hasM"] = has_m
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if z_ordinate_index is not UNSET:
65+
field_dict["zOrdinateIndex"] = z_ordinate_index
66+
if m_ordinate_index is not UNSET:
67+
field_dict["mOrdinateIndex"] = m_ordinate_index
68+
if count is not UNSET:
69+
field_dict["count"] = count
70+
71+
return field_dict
72+
73+
@classmethod
74+
def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
75+
d = src_dict.copy()
76+
dimension = d.pop("dimension", UNSET)
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78+
measures = d.pop("measures", UNSET)
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80+
spatial = d.pop("spatial", UNSET)
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82+
_ordinates = d.pop("ordinates", UNSET)
83+
ordinates: Union[Unset, Ordinates]
84+
if isinstance(_ordinates, Unset):
85+
ordinates = UNSET
86+
else:
87+
ordinates = Ordinates(_ordinates)
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89+
has_z = d.pop("hasZ", UNSET)
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has_m = d.pop("hasM", UNSET)
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z_ordinate_index = d.pop("zOrdinateIndex", UNSET)
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m_ordinate_index = d.pop("mOrdinateIndex", UNSET)
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97+
count = d.pop("count", UNSET)
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coordinate_sequence = cls(
100+
dimension=dimension,
101+
measures=measures,
102+
spatial=spatial,
103+
ordinates=ordinates,
104+
has_z=has_z,
105+
has_m=has_m,
106+
z_ordinate_index=z_ordinate_index,
107+
m_ordinate_index=m_ordinate_index,
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count=count,
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)
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111+
return coordinate_sequence

‎ftc_api/models/coordinate_sequence_factory.py‎

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from typing import Any, Dict, Type, TypeVar, Union
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import attr
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from ..models.ordinates import Ordinates
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from ..types import UNSET, Unset
7+
8+
T = TypeVar("T", bound="CoordinateSequenceFactory")
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10+
11+
@attr.s(auto_attribs=True)
12+
class CoordinateSequenceFactory:
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"""
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Attributes:
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ordinates (Union[Unset, Ordinates]):
16+
"""
17+
18+
ordinates: Union[Unset, Ordinates] = UNSET
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20+
def to_dict(self) -> Dict[str, Any]:
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ordinates: Union[Unset, str] = UNSET
22+
if not isinstance(self.ordinates, Unset):
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ordinates = self.ordinates.value
24+
25+
field_dict: Dict[str, Any] = {}
26+
field_dict.update({})
27+
if ordinates is not UNSET:
28+
field_dict["ordinates"] = ordinates
29+
30+
return field_dict
31+
32+
@classmethod
33+
def from_dict(cls: Type[T], src_dict: Dict[str, Any]) -> T:
34+
d = src_dict.copy()
35+
_ordinates = d.pop("ordinates", UNSET)
36+
ordinates: Union[Unset, Ordinates]
37+
if isinstance(_ordinates, Unset):
38+
ordinates = UNSET
39+
else:
40+
ordinates = Ordinates(_ordinates)
41+
42+
coordinate_sequence_factory = cls(
43+
ordinates=ordinates,
44+
)
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return coordinate_sequence_factory

‎ftc_api/models/dimension.py‎

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from enum import Enum
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class Dimension(str, Enum):
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P = "P"
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CURVE = "Curve"
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A = "A"
8+
COLLAPSE = "Collapse"
9+
DONTCARE = "Dontcare"
10+
TRUE = "True"
11+
UNKNOWN = "Unknown"
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def __str__(self) -> str:
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return str(self.value)

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