コード例 #1
0
from functools import partial
from typing import (List, Optional, Tuple)

from ground.hints import (Point, Scalar, Segment)
from hypothesis import strategies

from locus.core.hilbert import MAX_COORDINATE
from locus.segmental import Tree
from tests.strategies import (scalars_strategies, to_points, to_segments)
from tests.utils import Strategy

MIN_SEGMENTS_SIZE = 2
max_children_counts = (strategies.sampled_from(
    [2**power for power in range(1, 10)])
                       | strategies.integers(2, MAX_COORDINATE))
segments_strategies = scalars_strategies.map(to_segments)
segments_lists = (segments_strategies.flatmap(
    partial(strategies.lists, min_size=MIN_SEGMENTS_SIZE)))
trees = strategies.builds(Tree,
                          segments_lists,
                          max_children=max_children_counts)


def scalars_to_trees_with_segments(
        scalars: Strategy[Scalar],
        *,
        min_size: int = MIN_SEGMENTS_SIZE,
        max_size: Optional[int] = None) -> Strategy[Tuple[Tree, Segment]]:
    segments = to_segments(scalars)
    return strategies.tuples(
        strategies.builds(Tree,
コード例 #2
0
ファイル: strategies.py プロジェクト: lycantropos/locus
from functools import partial
from typing import (List, Optional, Tuple)

from ground.hints import (Box, Scalar)
from hypothesis import strategies

from locus.core.hilbert import MAX_COORDINATE
from locus.r import Tree
from tests.strategies import (scalars_strategies, to_boxes, to_points)
from tests.utils import (Point, Strategy)

MIN_BOXES_SIZE = 2
max_children_counts = (strategies.sampled_from(
    [2**power for power in range(1, 10)])
                       | strategies.integers(2, MAX_COORDINATE))
boxes_strategies = scalars_strategies.map(to_boxes)
boxes_lists = (boxes_strategies.flatmap(
    partial(strategies.lists, min_size=MIN_BOXES_SIZE)))
trees = strategies.builds(Tree, boxes_lists, max_children=max_children_counts)


def scalars_to_trees_with_boxes(
        scalars: Strategy[Scalar],
        *,
        min_size: int = MIN_BOXES_SIZE,
        max_size: Optional[int] = None) -> Strategy[Tuple[Tree, Box]]:
    boxes = to_boxes(scalars)
    return strategies.tuples(
        strategies.builds(Tree,
                          strategies.lists(boxes,
                                           min_size=min_size,
コード例 #3
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from functools import partial

from hypothesis import strategies

from tests.port_tests.factories import scalars_to_ported_polygons
from tests.port_tests.hints import PortedPolygon
from tests.port_tests.utils import (ported_operations_types,
                                    to_non_overlapping_ported_polygons_pair)
from tests.strategies import scalars_strategies
from tests.utils import (identity, pack, to_pairs)

operations_types = ported_operations_types
empty_polygons = strategies.builds(PortedPolygon, strategies.builds(list))
polygons = scalars_strategies.flatmap(scalars_to_ported_polygons)
non_empty_polygons_strategies = (scalars_strategies.map(
    partial(scalars_to_ported_polygons, min_size=1)))
non_empty_polygons = non_empty_polygons_strategies.flatmap(identity)
polygons_pairs = (strategies.tuples(empty_polygons, non_empty_polygons)
                  | strategies.tuples(non_empty_polygons, empty_polygons)
                  | non_empty_polygons_strategies.flatmap(to_pairs).map(
                      pack(to_non_overlapping_ported_polygons_pair)))
コード例 #4
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from hypothesis import strategies

from tests.port_tests.factories import (scalars_to_nested_ported_sweep_events,
                                        scalars_to_ported_sweep_events)
from tests.port_tests.hints import PortedSweepLineKey
from tests.strategies import scalars_strategies
from tests.utils import (identity, to_builder, to_pairs, to_triplets)

sweep_events_strategies = (
    scalars_strategies.map(scalars_to_ported_sweep_events))
sweep_events = sweep_events_strategies.flatmap(identity)
sweep_line_keys_strategies = (sweep_events_strategies.map(
    to_builder(PortedSweepLineKey)))
sweep_line_keys = sweep_line_keys_strategies.flatmap(identity)
sweep_line_keys_pairs = sweep_line_keys_strategies.flatmap(to_pairs)
sweep_line_keys_triplets = sweep_line_keys_strategies.flatmap(to_triplets)
nested_sweep_events_strategies = (
    scalars_strategies.map(scalars_to_nested_ported_sweep_events))
nested_sweep_line_keys_strategies = (nested_sweep_events_strategies.map(
    to_builder(PortedSweepLineKey)))
nested_sweep_line_keys = nested_sweep_line_keys_strategies.flatmap(identity)
nested_sweep_line_keys_pairs = (
    nested_sweep_line_keys_strategies.flatmap(to_pairs))
non_sweep_line_keys = strategies.builds(object)
コード例 #5
0
ファイル: strategies.py プロジェクト: skrat/martinez
from tests.port_tests.factories import (scalars_to_ported_points,
                                        scalars_to_ported_points_lists)
from tests.port_tests.hints import (PortedContour, PortedPoint, PortedPolygon)
from tests.strategies import (booleans, non_negative_integers,
                              non_negative_integers_lists, scalars_strategies)
from tests.utils import (MAX_CONTOURS_COUNT, Strategy, identity, to_builder,
                         to_pairs, to_triplets)

booleans = booleans
non_negative_integers = non_negative_integers
non_negative_integers_lists = non_negative_integers_lists
points = scalars_strategies.flatmap(scalars_to_ported_points)


def to_contours(
        points_lists: Strategy[List[PortedPoint]],
        holes_lists: Strategy[List[int]] = non_negative_integers_lists,
        are_externals: Strategy[bool] = booleans) -> Strategy[PortedContour]:
    return strategies.builds(PortedContour, points_lists, holes_lists,
                             are_externals)


contours_lists_strategies = (scalars_strategies.map(
    scalars_to_ported_points_lists).map(to_contours).map(
        partial(strategies.lists, max_size=MAX_CONTOURS_COUNT)))
contours_lists = contours_lists_strategies.flatmap(identity)
polygons_strategies = contours_lists_strategies.map(to_builder(PortedPolygon))
polygons = polygons_strategies.flatmap(identity)
polygons_pairs = polygons_strategies.flatmap(to_pairs)
polygons_triplets = polygons_strategies.flatmap(to_triplets)
コード例 #6
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from tests.port_tests.factories import (scalars_to_ported_points_pairs,
                                        scalars_to_ported_segments)
from tests.strategies import scalars_strategies
from tests.utils import (identity, to_pairs, to_triplets)

points_pairs = scalars_strategies.flatmap(scalars_to_ported_points_pairs)
segments_strategies = scalars_strategies.map(scalars_to_ported_segments)
segments = segments_strategies.flatmap(identity)
segments_pairs = segments_strategies.flatmap(to_pairs)
segments_triplets = segments_strategies.flatmap(to_triplets)
コード例 #7
0
ファイル: strategies.py プロジェクト: skrat/martinez
def to_sweep_events_lists_with_indices_and_booleans_lists(
    events: List[PortedSweepEvent]
) -> Strategy[Tuple[List[PortedSweepEvent], int, List[bool]]]:
    return strategies.tuples(
        strategies.just(events), strategies.integers(0,
                                                     len(events) - 1),
        strategies.lists(booleans, min_size=len(events), max_size=len(events)))


non_empty_sweep_events_lists_with_indices_and_booleans_lists = (
    non_empty_sweep_events_lists.flatmap(
        to_sweep_events_lists_with_indices_and_booleans_lists))
nested_sweep_events_lists = strategies.lists(nested_sweep_events)
non_degenerate_nested_sweep_events = (
    nested_sweep_events.filter(is_sweep_event_non_degenerate))
nested_sweep_events_pairs = (scalars_strategies.map(
    scalars_to_nested_ported_sweep_events).flatmap(to_pairs))
nested_sweep_events_pairs = (
    nested_sweep_events_pairs.filter(are_non_overlapping_ported_sweep_events)
    | nested_sweep_events_pairs.filter(
        are_sweep_events_pair_with_different_polygon_types))
operations_types = ported_operations_types
polygons = scalars_strategies.flatmap(scalars_to_ported_polygons)


def scalars_to_trivial_operations(
        scalars: Strategy[Scalar]) -> Strategy[PortedOperation]:
    empty_polygons = strategies.builds(PortedPolygon, strategies.builds(list))
    polygons = scalars_to_ported_polygons(scalars)
    non_empty_polygons = scalars_to_ported_polygons(scalars, min_size=1)

    def to_operation_with_non_overlapping_arguments(