QGIS/python/plugins/processing/tests/testdata/qgis_algorithm_tests4.yaml

# See ../README.md for a description of the file format

tests:

  - algorithm: native:projectpointcartesian
    name: Project points Cartesian
    params:
      BEARING: 90.0
      DISTANCE: 1.0
      INPUT:
        name: points.gml
        type: vector
    results:
      OUTPUT:
        name: expected/projected_points.gml
        type: vector

  - algorithm: native:projectpointcartesian
    name: Project multipoints Cartesian
    params:
      BEARING: -90.0
      DISTANCE: 0.5
      INPUT:
        name: multipoints.gml
        type: vector
    results:
      OUTPUT:
        name: expected/projected_multipoints.gml
        type: vector

  - algorithm: native:removeduplicatevertices
    name: Remove duplicate vertices from lines
    params:
      INPUT:
        name: custom/line_duplicate_nodes.gml
        type: vector
      TOLERANCE: 1.0e-06
      USE_Z_VALUE: false
    results:
      OUTPUT:
        name: expected/removed_duplicated_nodes_line.gml
        type: vector

  - algorithm: native:removeduplicatevertices
    name: Remove duplicate vertices from all parts
    params:
      INPUT:
        name: custom/multi_polygons_with_duplicate_nodes_per_part.gml
        type: vector
      TOLERANCE: 0.001
      USE_Z_VALUE: false
    results:
      OUTPUT:
        name: expected/multi_polygons_without_duplicate_nodes.gml
        type: vector

  - algorithm: native:removeduplicatevertices
    name: Remove duplicate vertices from all interior rings
    params:
      INPUT:
        name: custom/polygons_with_duplicate_nodes_in_several_holes.gml
        type: vector
      TOLERANCE: 0.001
      USE_Z_VALUE: false
    results:
      OUTPUT:
        name: expected/polygons_without_duplicate_nodes_in_holes.gml
        type: vector

  - algorithm: qgis:keepnbiggestparts
    name: Keep N biggest parts
    params:
      PARTS: 1
      POLYGONS:
        name: multipolys.gml
        type: vector
    results:
      OUTPUT:
        name: expected/biggest_parts.gml
        type: vector

  - algorithm: native:multiringconstantbuffer
    name: Multi-ring buffer with points
    params:
      DISTANCE: 0.05
      INPUT:
        name: points.gml
        type: vector
      RINGS: 3
    results:
      OUTPUT:
        name: expected/multiring_buffer.gml
        type: vector

  - algorithm: native:multiringconstantbuffer
    name: Multi-ring negative buffer with polygons
    params:
      DISTANCE: -0.05
      INPUT:
        name: polys.gml
        type: vector
      RINGS: 3
    results:
      OUTPUT:
        name: expected/multiring_negative_buffer.gml
        type: vector

  - algorithm: native:segmentizebymaxangle
    name: Segmentize by angle
    params:
      ANGLE: 20.0
      INPUT:
        name: custom/circular_strings.gpkg|layername=circular_strings
        type: vector
    results:
      OUTPUT:
        name: expected/segmentize_by_angle.gml
        type: vector

  - algorithm: native:segmentizebymaxdistance
    name: Segmentize by distance
    params:
      DISTANCE: 0.2
      INPUT:
        name: custom/circular_strings.gpkg|layername=circular_strings
        type: vector
    results:
      OUTPUT:
        name: expected/segmentize_by_distance.gml
        type: vector

  - algorithm: native:rotatefeatures
    name: Rotate around centroid
    params:
      ANGLE: 25.0
      INPUT:
        name: polys.gml
        type: vector
    results:
      OUTPUT:
        name: expected/rotate_around_centroid.gml
        type: vector

  - algorithm: native:rotatefeatures
    name: Rotate around point
    params:
      ANCHOR: 2.3,3 [EPSG:4326]
      ANGLE: 25.0
      INPUT:
        name: polys.gml
        type: vector
    results:
      OUTPUT:
        name: expected/rotate_around_point.gml
        type: vector

  - algorithm: native:importphotos
    name: Import photos
    params:
      FOLDER:
        name: custom/photos
        type: file
      RECURSIVE: false
    results:
      INVALID:
        name: expected/import_photos_invalid.gml
        type: vector
        compare:
          fields:
            photo: skip
            directory: skip

      OUTPUT:
        name: expected/import_photos.gml
        type: vector
        compare:
          fields:
            photo: skip
            directory: skip
            timestamp:
              cast: str

  - algorithm: qgis:concavehull
    name: Concave Hull - Points (0.3)
    params:
      ALPHA: 0.3
      HOLES: true
      INPUT:
        name: points.gml
        type: vector
      NO_MULTIGEOMETRY: false
    results:
      OUTPUT:
        name: expected/concave_hull_points_03.gml
        type: vector

  - algorithm: qgis:concavehull
    name: Concave Hull - Points (0.7)
    params:
      ALPHA: 0.7
      HOLES: true
      INPUT:
        name: points.gml
        type: vector
      NO_MULTIGEOMETRY: false
    results:
      OUTPUT:
        name: expected/concave_hull_points_07.gml
        type: vector

  - algorithm: qgis:knearestconcavehull
    name: K-nearest Neighbor Concave Hull - Points (k=7)
    params:
      KNEIGHBORS: 7
      INPUT:
        name: points.gml
        type: vector
    results:
      OUTPUT:
        name: expected/knearest_concave_hull_points_7.gml
        type: vector

  - algorithm: qgis:knearestconcavehull
    name: K-nearest Neighbor Concave Hull - Group by field
    params:
      FIELD: id2
      INPUT:
        name: points.gml
        type: vector
      KNEIGHBORS: 3
    results:
      OUTPUT:
        name: expected/knearest_concave_hull_points_id2.gml
        type: vector

  - algorithm: qgis:knearestconcavehull
    name: K-nearest Neighbor Concave Hull - Lines (k=3)
    params:
      INPUT:
        name: lines.gml
        type: vector
      KNEIGHBORS: 3
    results:
      OUTPUT:
        name: expected/knearest_concave_hull_lines.gml
        type: vector

  - algorithm: qgis:knearestconcavehull
    name: K-nearest Neighbor Concave Hull - Polys (k=3)
    params:
      INPUT:
        name: polys.gml
        type: vector
      KNEIGHBORS: 3
    results:
      OUTPUT:
        name: expected/knearest_concave_hull_polys.gml
        type: vector

  - algorithm: qgis:knearestconcavehull
    name: K-nearest Neighbor Concave Hull - MultiPoints (k=3)
    params:
      INPUT:
        name: multipoints.gml
        type: vector
      KNEIGHBORS: 3
    results:
      OUTPUT:
        name: expected/knearest_concave_hull_multipoints.gml
        type: vector

  - algorithm: qgis:knearestconcavehull
    name: K-nearest Neighbor Concave Hull - Duplicate Points
    params:
      INPUT:
        name: custom/points_duplicate.gml
        type: vector
      KNEIGHBORS: 3
    results:
      OUTPUT:
        name: expected/failure.gml
        type: vector
    expectedException: true

  - algorithm: native:swapxy
    name: Swap XY coordinates
    params:
      INPUT:
        name: polys.gml
        type: vector
    results:
      OUTPUT:
        name: expected/swap_xy.gml
        type: vector

  - algorithm: model:filtertest
    name: Test (model:filtertest)
    params:
      layer:
        name: points.gml
        type: vector
    results:
      native:filter_1:OUTPUT_small:
        name: expected/filter_points_small.gml
        type: vector
      native:filter_1:OUTPUT_big:
        name: expected/filter_points_big.gml
        type: vector

  - algorithm: native:intersection
    name: Test Intersection (basic)
    params:
      INPUT:
        name: custom/overlay1_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_b.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/intersection1.gml
        type: vector
        pk: [id_a, id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:intersection
    name: Test Intersection (geom types)
    params:
      INPUT:
        name: custom/overlay3_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay3_b.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/intersection3.gml
        type: vector
        pk: [id_a, id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:intersection
    name: Test Intersection (custom prefix)
    params:
      INPUT:
        name: custom/overlay1_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_b.geojson
        type: vector
      OVERLAY_FIELDS_PREFIX: pre_
    results:
      OUTPUT:
        name: expected/intersection_prefix.gml
        type: vector
        pk: [id_a, pre_id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:wedgebuffers
    name: Wedge buffers
    params:
      AZIMUTH: 90.0
      INNER_RADIUS: 0.5
      INPUT:
        name: points.gml
        type: vector
      OUTER_RADIUS: 1.0
      WIDTH: 45.0
    results:
      OUTPUT:
        name: expected/wedge_buffers.gml
        type: vector

  - algorithm: native:difference
    name: Test Difference A - B (basic)
    params:
      INPUT:
        name: custom/overlay1_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_b.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/difference1_a_b.gml
        type: vector
        pk: id_a
        compare:
          fields:
            fid: skip

  - algorithm: native:difference
    name: Test Difference B - A (basic)
    params:
      INPUT:
        name: custom/overlay1_b.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_a.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/difference1_b_a.gml
        type: vector
        pk: id_b
        compare:
          fields:
            fid: skip

  - algorithm: native:symmetricaldifference
    name: Test Symmetrical Difference A - B (basic)
    params:
      INPUT:
        name: custom/overlay1_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_b.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/symmetrical_difference1_a_b.gml
        type: vector
        pk: [id_a, id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:symmetricaldifference
    name: Test Symmetrical Difference B - A (basic)
    params:
      INPUT:
        name: custom/overlay1_b.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_a.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/symmetrical_difference1_b_a.gml
        type: vector
        pk: [id_a, id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:symmetricaldifference
    name: Test Symmetrical Difference B - A (custom prefix)
    params:
      INPUT:
        name: custom/overlay1_b.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_a.geojson
        type: vector
      OVERLAY_FIELDS_PREFIX: pre_
    results:
      OUTPUT:
        name: expected/symmetrical_difference_prefix.gml
        type: vector
        pk: [pre_id_a, id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:union
    name: Test Union of single layer
    params:
      INPUT:
        name: custom/overlay0.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/union0.gml
        type: vector
        compare:
          unordered: true
          fields:
            fid: skip

  - algorithm: native:union
    name: Test Union (basic)
    params:
      INPUT:
        name: custom/overlay1_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_b.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/union1.gml
        type: vector
        pk: [id_a, id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:union
    name: Test Union (custom prefix)
    params:
      INPUT:
        name: custom/overlay1_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay1_b.geojson
        type: vector
      OVERLAY_FIELDS_PREFIX: pre_
    results:
      OUTPUT:
        name: expected/union_prefix.gml
        type: vector
        pk: [id_a, pre_id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:union
    name: Test Union (geom types)
    params:
      INPUT:
        name: custom/overlay3_a.geojson
        type: vector
      OVERLAY:
        name: custom/overlay3_b.geojson
        type: vector
    results:
      OUTPUT:
        name: expected/union3.gml
        type: vector
        pk: [id_a, id_b]
        compare:
          fields:
            fid: skip

  - algorithm: native:taperedbuffer
    name: Tapered buffers (lines)
    params:
      END_WIDTH: 0.8
      INPUT:
        name: lines.gml
        type: vector
      SEGMENTS: 3
      START_WIDTH: 0.4
    results:
      OUTPUT:
        name: expected/tapered_buffer_line.gml
        type: vector
        compare:
          geometry:
            topo_equal_check: True

  - algorithm: native:taperedbuffer
    name: Tapered buffers (multiline)
    params:
      END_WIDTH: 0.8
      INPUT:
        name: multilines.gml
        type: vector
      SEGMENTS: 3
      START_WIDTH: 0.4
    results:
      OUTPUT:
        name:
        - expected/tapered_buffer_multiline.gml
        - expected/tapered_buffer_multilinev2.gml
        type: vector
        compare:
          geometry:
            topo_equal_check: True


  - algorithm: native:bufferbym
    name: Variable width buffer by m
    params:
      INPUT:
        name: lines_m.shp
        type: vector
      SEGMENTS: 3
    results:
      OUTPUT:
        name: expected/variable_width_buffer_by_m.gml
        type: vector
        compare:
          geometry:
            topo_equal_check: True

  - algorithm: native:reclassifybytable
    name: Reclassify by table
    params:
      INPUT_RASTER:
        name: raster.tif
        type: raster
      NODATA_FOR_MISSING: false
      NO_DATA: -9999.0
      RANGE_BOUNDARIES: 0
      RASTER_BAND: 1
      TABLE:
      - 1
      - 850
      - 3
      - 850
      - 1000
      - 4
    results:
      OUTPUT:
        hash: c29d14f71e8686f7445d53be646fce84702644f159fd0164ac38e861
        type: rasterhash

  - algorithm: native:reclassifybytable
    name: Reclassify by table min <=
    params:
      INPUT_RASTER:
        name: raster.tif
        type: raster
      NODATA_FOR_MISSING: false
      NO_DATA: -9999.0
      RANGE_BOUNDARIES: 1
      RASTER_BAND: 1
      TABLE:
      - 1
      - 843
      - 3
      - 843
      - 1000
      - 4
    results:
      OUTPUT:
        hash: f055b582e4e5abcfa9cce6a69ceb7fac54791ad0d980003f1a23f4b1
        type: rasterhash

  - algorithm: native:reclassifybytable
    name: Reclassify by table use original
    params:
      INPUT_RASTER:
        name: raster.tif
        type: raster
      NODATA_FOR_MISSING: false
      NO_DATA: -9999.0
      RANGE_BOUNDARIES: 0
      RASTER_BAND: 1
      TABLE:
      - 1
      - 843
      - 3
    results:
      OUTPUT:
        hash: 4398ddc5d24b3bf968d9a6e0fbd800344b20880a57915bd50a90e1ba
        type: rasterhash

  - algorithm: native:reclassifybytable
    name: Reclassify by table use nodata
    params:
      INPUT_RASTER:
        name: raster.tif
        type: raster
      NODATA_FOR_MISSING: true
      NO_DATA: -9999.0
      RANGE_BOUNDARIES: 0
      RASTER_BAND: 1
      TABLE:
      - 1
      - 843
      - 3
    results:
      OUTPUT:
        hash: cea558f7e99a0564fef92a96cd8d6b59707d019f1751cb600ab00850
        type: rasterhash

  - algorithm: native:reclassifybytable
    name: Reclassify by table infinite ranges
    params:
      DATA_TYPE: 5
      INPUT_RASTER:
        name: raster.tif
        type: raster
      NODATA_FOR_MISSING: false
      NO_DATA: -9999.0
      RANGE_BOUNDARIES: 0
      RASTER_BAND: 1
      TABLE:
      - ''
      - 850
      - 3
      - 850
      - ''
      - 4
    results:
      OUTPUT:
        hash: c29d14f71e8686f7445d53be646fce84702644f159fd0164ac38e861
        type: rasterhash

  - algorithm: native:reclassifybylayer
    name: Reclassify by layer
    params:
      INPUT_RASTER:
        name: raster.tif
        type: raster
      INPUT_TABLE:
        name: custom/reclassify_layer.gml
        type: vector
      MAX_FIELD: max
      MIN_FIELD: min
      NODATA_FOR_MISSING: false
      NO_DATA: -9999.0
      RANGE_BOUNDARIES: 0
      RASTER_BAND: 1
      VALUE_FIELD: value
    results:
      OUTPUT:
        hash: c29d14f71e8686f7445d53be646fce84702644f159fd0164ac38e861
        type: rasterhash

  - algorithm: native:reclassifybylayer
    name: Reclassify by layer with nulls
    params:
      DATA_TYPE: 5
      INPUT_RASTER:
        name: raster.tif
        type: raster
      INPUT_TABLE:
        name: custom/reclassify_layer_nulls.gml
        type: vector
      MAX_FIELD: max
      MIN_FIELD: min
      NODATA_FOR_MISSING: false
      NO_DATA: -9999.0
      RANGE_BOUNDARIES: 0
      RASTER_BAND: 1
      VALUE_FIELD: value
    results:
      OUTPUT:
        hash: c29d14f71e8686f7445d53be646fce84702644f159fd0164ac38e861
        type: rasterhash

  - algorithm: native:pixelstopolygons
    name: Pixels to polygons
    params:
      FIELD_NAME: pix_val
      INPUT_RASTER:
        name: raster.tif
        type: raster
      RASTER_BAND: 1
    results:
      OUTPUT:
        name: expected/vectorize.gml
        type: vector

  - algorithm: native:pixelstopoints
    name: Pixels to points
    params:
      FIELD_NAME: VALUE
      INPUT_RASTER:
        name: raster.tif
        type: raster
      RASTER_BAND: 1
    results:
      OUTPUT:
        name: expected/pixels_to_points.gml
        type: vector

  - algorithm: native:kmeansclustering
    name: K means, points, 3 clusters
    params:
      CLUSTERS: 3
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: points.gml
        type: vector
    results:
      OUTPUT:
        name: expected/kmeans_points_3.gml
        type: vector

  - algorithm: native:kmeansclustering
    name: K means, points, 5 clusters
    params:
      CLUSTERS: 5
      FIELD_NAME: CLUSTER_ID5
      SIZE_FIELD_NAME: CLUSTER_SIZE5
      INPUT:
        name: points.gml
        type: vector
    results:
      OUTPUT:
        name: expected/kmeans_points_5.gml
        type: vector

  - algorithm: native:kmeansclustering
    name: K means, lines
    params:
      CLUSTERS: 2
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: lines.gml
        type: vector
    results:
      OUTPUT:
        name: expected/kmeans_lines.gml
        type: vector

  - algorithm: native:kmeansclustering
    name: K means, polys
    params:
      CLUSTERS: 2
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: polys.gml
        type: vector
    results:
      OUTPUT:
        name: expected/kmeans_polys.gml
        type: vector


  - algorithm: native:dbscanclustering
    name: DBScan 5/3
    params:
      DBSCAN*: false
      EPS: 3.0
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: custom/points_weighted.gml
        type: vector
      MIN_SIZE: 5
    results:
      OUTPUT:
        name: expected/dbscan_5_2.gml
        type: vector

  - algorithm: native:dbscanclustering
    name: DBScan* 5/3
    params:
      DBSCAN*: true
      EPS: 3.0
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: custom/points_weighted.gml
        type: vector
      MIN_SIZE: 5
    results:
      OUTPUT:
        name: expected/dbscan_star_5_2.gml
        type: vector

  - algorithm: native:dbscanclustering
    name: DBScan no clusters
    params:
      DBSCAN*: false
      EPS: 1.0
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: custom/points_weighted.gml
        type: vector
      MIN_SIZE: 5
    results:
      OUTPUT:
        name: expected/dbscan_no_clusters.gml
        type: vector

  - algorithm: native:dbscanclustering
    name: DBScan multiple clusters
    params:
      DBSCAN*: false
      EPS: 2.0
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: custom/points_weighted.gml
        type: vector
      MIN_SIZE: 3
    results:
      OUTPUT:
        name: expected/dbscan_multiple_clusters.gml
        type: vector

  - algorithm: native:stdbscanclustering
    name: ST-DBScan multiple clusters
    params:
      DATETIME_FIELD: date
      DBSCAN*: false
      EPS: 5.0
      EPS2: 86400000.0
      FIELD_NAME: CLUSTER_ID
      INPUT:
        name: custom/points_with_date.shp
        type: vector
      MIN_SIZE: 1
    results:
      OUTPUT:
        name: expected/stdbscan_multiple_clusters.gml
        type: vector

  - algorithm: qgis:rastersampling
    name: Single band raster
    params:
      COLUMN_PREFIX: SAMPLE_
      INPUT:
        name: custom/sampling_points.gml
        type: vector
      RASTERCOPY:
        name: dem.tif
        type: raster
    results:
      OUTPUT:
        name: expected/sampling_raster.gml
        type: vector
        compare:
          fields:
            fid: skip

  - algorithm: native:filterverticesbym
    name: Filter by m no max
    params:
      INPUT:
        name: lines_m.shp
        type: vector
      MIN: 0.6
    results:
      OUTPUT:
        name: expected/filter_by_m_no_max.shp
        type: vector

  - algorithm: native:filterverticesbym
    name: Filter by m no min
    params:
      INPUT:
        name: lines_m.shp
        type: vector
      MAX: 0.6
    results:
      OUTPUT:
        name: expected/filter_by_m_no_min.shp
        type: vector

  - algorithm: native:filterverticesbym
    name: Filter by m
    params:
      INPUT:
        name: lines_m.shp
        type: vector
      MAX: 0.7
      MIN: 0.4
    results:
      OUTPUT:
        name: expected/filter_by_m.shp
        type: vector

  - algorithm: native:filterverticesbyz
    name: Filter by z no max
    params:
      INPUT:
        name: lines_z.shp
        type: vector
      MIN: 0.6
    results:
      OUTPUT:
        name: expected/filter_by_z_no_max.shp
        type: vector

  - algorithm: native:filterverticesbyz
    name: Filter by z no min
    params:
      INPUT:
        name: lines_z.shp
        type: vector
      MAX: 0.6
    results:
      OUTPUT:
        name: expected/filter_by_z_no_min.shp
        type: vector

  - algorithm: native:filterverticesbyz
    name: Filter by z
    params:
      INPUT:
        name: lines_z.shp
        type: vector
      MAX: 0.7
      MIN: 0.4
    results:
      OUTPUT:
        name: expected/filter_by_z.shp
        type: vector

  - algorithm: native:arraytranslatedfeatures
    name: Array of point features
    params:
      COUNT: 3
      DELTA_M: -0.4
      DELTA_X: 0.1
      DELTA_Y: -0.2
      DELTA_Z: 0.3
      INPUT:
        name: points.gml
        type: vector
    results:
      OUTPUT:
        name: expected/feature_array.shp
        type: vector

  - algorithm: native:arrayoffsetlines
    name: Array of offset (parallel) lines
    params:
      COUNT: 3
      INPUT:
        name: lines.gml
        type: vector
      JOIN_STYLE: 1
      MITER_LIMIT: 2.0
      OFFSET: -0.2
      SEGMENTS: 8
    results:
      OUTPUT:
        name: expected/create_parallel_lines.gml
        type: vector

  - algorithm: native:setzfromraster
    name: Drape points to z
    params:
      BAND: 1
      INPUT:
        name: custom/sampling_points.gml
        type: vector
      NODATA: 0.0
      RASTER:
        name: dem.tif
        type: raster
      SCALE: 1.2
    results:
      OUTPUT:
        name: expected/drape_points.shp
        type: vector

  - algorithm: native:setmfromraster
    name: Drape points to m
    params:
      BAND: 1
      INPUT:
        name: custom/sampling_points.gml
        type: vector
      NODATA: 0.0
      RASTER:
        name: dem.tif
        type: raster
      SCALE: 1.2
    results:
      OUTPUT:
        name: expected/drape_points_m.shp
        type: vector

  - algorithm: native:setzfromraster
    name: Drape lines to z
    params:
      BAND: 1
      INPUT:
        name: custom/dem_lines.shp
        type: vector
      NODATA: -9999.0
      RASTER:
        name: dem.tif
        type: raster
      SCALE: 1.0
    results:
      OUTPUT:
        name: expected/drape_lines.shp
        type: vector

  - algorithm: native:setmfromraster
    name: Drape lines to m
    params:
      BAND: 1
      INPUT:
        name: custom/dem_lines.shp
        type: vector
      NODATA: -9999.0
      RASTER:
        name: dem.tif
        type: raster
      SCALE: 1.0
    results:
      OUTPUT:
        name: expected/drape_lines_m.shp
        type: vector

  - algorithm: native:linesubstring
    name: Line substrings
    params:
      END_DISTANCE: 0.8
      INPUT:
        name: lines.gml
        type: vector
      START_DISTANCE: 0.2
    results:
      OUTPUT:
        name: expected/line_substring.gml
        type: vector

  - algorithm: native:interpolatepoint
    name: Interpolate points (line)
    params:
      DISTANCE: 1.0
      INPUT:
        name: lines.gml
        type: vector
    results:
      OUTPUT:
        name: expected/interpolate_point_lines.gml
        type: vector

  - algorithm: native:interpolatepoint
    name: Interpolate points (polygons)
    params:
      DISTANCE: 2.0
      INPUT:
        name: polys.gml
        type: vector
    results:
      OUTPUT:
        name: expected/interpolate_point_polys.gml
        type: vector

  - algorithm: native:mergevectorlayers
    name: Merge vector layers with conflicting feature ids
    params:
      LAYERS:
        params:
        - name: custom/pol.gpkg|layername=pol1
          type: vector
        - name: custom/pol.gpkg|layername=pol2
          type: vector
        - name: custom/pol.gpkg|layername=pol3
          type: vector
        type: multi
    results:
      OUTPUT:
        # If you ever run into this test producing Polygons instead of MultiPolygons as output
        # that is totally expected and you are invited to replace the file merged_pol.gpkg with
        # a single polygon version.
        name: ogr:dbname='expected/merged_pol.gpkg' table="output" (geom) sql=
        uri: expected/merged_pol.gpkg|layername=merged_pol
        type: vector
        compare:
          fields:
            path: skip

  - algorithm: native:removeduplicatesbyattribute
    name: Remove dupes by attribute 1
    params:
      FIELDS:
      - num_field1
      INPUT:
        name: custom/duplicate_attributes.gml
        type: vector
    results:
      OUTPUT:
        name: expected/remove_duplicates1.gml
        type: vector

  - algorithm: native:removeduplicatesbyattribute
    name: Remove dupes by attribute 2
    params:
      FIELDS:
      - num_field2
      INPUT:
        name: custom/duplicate_attributes.gml
        type: vector
    results:
      OUTPUT:
        name: expected/remove_duplicates2.gml
        type: vector

  - algorithm: native:removeduplicatesbyattribute
    name: Remove dupes by attribute 3
    params:
      FIELDS:
      - num_field2
      - text_field
      INPUT:
        name: custom/duplicate_attributes.gml
        type: vector
    results:
      DUPLICATES:
        name: expected/remove_duplicates_dupes.gml
        type: vector
      OUTPUT:
        name: expected/remove_duplicates3.gml
        type: vector

  - algorithm: native:forcerhr
    name: Force right-hand-rule polys
    params:
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      OUTPUT:
        name: expected/force_rhr_polys.gml
        type: vector

  - algorithm: native:forcerhr
    name: Force right-hand-rule multipolys
    params:
      INPUT:
        name: multipolys.gml|layername=multipolys
        type: vector
    results:
      OUTPUT:
        name: expected/force_rhr_multipolys.gml
        type: vector

  - algorithm: native:extractzvalues
    name: Extract z, first value only
    params:
      COLUMN_PREFIX: z_
      INPUT:
        name: lines_z.shp
        type: vector
      SUMMARIES:
      - 0
    results:
      OUTPUT:
        name: expected/extract_z_first.shp
        type: vector

  - algorithm: native:extractzvalues
    name: Extract z, all stats
    params:
      COLUMN_PREFIX: zs_
      INPUT:
        name: lines_z.shp
        type: vector
      SUMMARIES:
      - 0
      - 1
      - 2
      - 3
      - 4
      - 5
      - 6
      - 7
      - 8
      - 9
      - 10
      - 11
      - 12
      - 13
      - 14
      - 15
    results:
      OUTPUT:
        name: expected/extract_z_all.shp
        type: vector

  - algorithm: native:extractzvalues
    name: Extract z, points
    params:
      COLUMN_PREFIX: z_
      INPUT:
        name: custom/pointszm.shp
        type: vector
      SUMMARIES:
      - 0
      - 1
      - 2
      - 3
      - 4
      - 5
      - 6
      - 7
      - 8
      - 9
      - 10
      - 11
      - 12
      - 13
      - 14
      - 15
    results:
      OUTPUT:
        name: expected/extract_z_points.shp
        type: vector

  - algorithm: native:extractzvalues
    name: Extract z, no z values
    params:
      COLUMN_PREFIX: z_
      INPUT:
        name: lines.gml|layername=lines
        type: vector
      SUMMARIES:
      - 0
    results:
      OUTPUT:
        name: expected/extract_z_none.shp
        type: vector

  - algorithm: native:extractmvalues
    name: Extract m first only
    params:
      COLUMN_PREFIX: m_
      INPUT:
        name: lines_m.shp
        type: vector
      SUMMARIES:
      - 0
    results:
      OUTPUT:
        name: expected/extract_m_first.shp
        type: vector

  - algorithm: native:extractmvalues
    name: Extract m, all stats
    params:
      COLUMN_PREFIX: ms_
      INPUT:
        name: lines_m.shp
        type: vector
      SUMMARIES:
      - 0
      - 1
      - 2
      - 3
      - 4
      - 5
      - 6
      - 7
      - 8
      - 9
      - 10
      - 11
      - 12
      - 13
      - 14
      - 15
    results:
      OUTPUT:
        name: expected/extract_m_all.shp
        type: vector

  - algorithm: native:extractmvalues
    name: Extract m, points
    params:
      COLUMN_PREFIX: mp_
      INPUT:
        name: custom/pointszm.shp
        type: vector
      SUMMARIES:
      - 0
      - 1
      - 2
      - 3
      - 4
      - 5
      - 6
      - 7
      - 8
      - 9
      - 10
      - 11
      - 12
      - 13
      - 14
      - 15
    results:
      OUTPUT:
        name: expected/extract_m_points.shp
        type: vector

  - algorithm: native:extractmvalues
    name: Extract m, no m values present
    params:
      COLUMN_PREFIX: m_
      INPUT:
        name: points.gml|layername=points
        type: vector
      SUMMARIES:
      - 0
    results:
      OUTPUT:
        name: expected/extract_m_none.shp
        type: vector

  - algorithm: native:splitlinesbylength
    name: Split multilines by length
    params:
      INPUT:
        name: multilines.gml|layername=multilines
        type: vector
      LENGTH: 1.1
    results:
      OUTPUT:
        name: expected/split_multiline_by_length.gml
        type: vector

  - algorithm: native:splitlinesbylength
    name: Split lines by length
    params:
      INPUT:
        name: lines.gml|layername=lines
        type: vector
      LENGTH: 2.2
    results:
      OUTPUT:
        name: expected/split_lines_by_length.gml
        type: vector

  - algorithm: native:splitlinesbylength
    name: Split linesz by length
    params:
      INPUT:
        name: lines_z.shp
        type: vector
      LENGTH: 3.1
    results:
      OUTPUT:
        name: expected/split_linez_by_length.shp
        type: vector

  - algorithm: native:deleteduplicategeometries
    name: Delete Duplicates with null geometries
    params:
      INPUT:
        name: lines.gml|layername=lines
        type: vector
    results:
      OUTPUT:
        name: expected/delete_duplicates_with_nulls.gml
        type: vector

  - algorithm: native:rasterlayerzonalstats
    name: Raster layer zonal stats, same CRS
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      ZONES:
        name: custom/dem_zones.tif
        type: raster
      ZONES_BAND: 1
    results:
      OUTPUT_TABLE:
        name: expected/raster_zonal_stats.csv
        type: vector
        pk:
        - zone
        compare:
          fields:
            sum:
              cast: float
              precision: 5

  - algorithm: native:rasterlayerzonalstats
    name: Raster layer zonal stats, reprojected
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      ZONES:
        name: custom/dem_zones_crs.tif
        type: raster
      ZONES_BAND: 1
    results:
      OUTPUT_TABLE:
        name: expected/raster_zonal_stats_reproj.csv
        type: vector
        pk:
        - zone
        compare:
          fields:
            sum:
              precision: 5

  - algorithm: native:rasterlayerzonalstats
    name: Raster layer zonal stats, zones ref
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      REF_LAYER: 1
      ZONES:
        name: custom/dem_zones.tif
        type: raster
      ZONES_BAND: 1
    results:
      OUTPUT_TABLE:
        name: expected/raster_zonal_stats_zone_ref.csv
        type: vector
        pk:
        - zone
        compare:
          fields:
            sum:
              cast: float
              precision: 5

  - algorithm: native:rasterlayerzonalstats
    name: Raster layer zonal stats reprojected, zones ref
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      REF_LAYER: 1
      ZONES:
        name: custom/dem_zones_crs.tif
        type: raster
      ZONES_BAND: 1
    results:
      OUTPUT_TABLE:
        name: expected/raster_zonal_stats_zone_crs_ref.csv
        type: vector
        pk:
        - zone
        compare:
          fields:
            sum:
              cast: float
              precision: -1
            mean:
              cast: float
              precision: 3

  - algorithm: native:antimeridiansplit
    name: Antimeridian split, lines
    ellipsoid: GRS80
    project_crs: EPSG:4326
    params:
      INPUT:
        name: custom/antimeridian_lines.gml|layername=antimeridian_lines
        type: vector
    results:
      OUTPUT:
        name: expected/antimeridian_lines_split.gml
        type: vector
        compare:
          geometry:
            precision: 4
        pk:
        - pk

  - algorithm: native:antimeridiansplit
    name: Antimeridian split, multilines
    ellipsoid: GRS80
    project_crs: EPSG:4326
    params:
      INPUT:
        name: custom/antimeridian_multilines.gml|layername=antimeridian_multilines
        type: vector
    results:
      OUTPUT:
        name: expected/antimeridian_multilines_split.gml
        type: vector
        compare:
          geometry:
            precision: 4
        pk:
        - pk

  - algorithm: native:rastersurfacevolume
    name: Surface volume above
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      LEVEL: 100.0
      METHOD: 0
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_above.html
        type: regex
        rules:
          - 'Volume: 0.064805'
          - 'Pixel count: 95901'
          - 'Area: 0.000959'
      OUTPUT_TABLE:
        name: expected/surface_vol_above.gml
        type: vector

  - algorithm: native:rastersurfacevolume
    name: Surface volume Below
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      LEVEL: 100.0
      METHOD: 1
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_below.html
        type: regex
        rules:
          - 'Volume: -0.00322225'
          - 'Pixel count: 34600'
          - 'Area: 0.00034599'
      OUTPUT_TABLE:
        name: expected/surface_vol_below.gml
        type: vector

  - algorithm: native:rastersurfacevolume
    name: Surface volume subtract below
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      LEVEL: 100.0
      METHOD: 2
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_subtract.html
        type: regex
        rules:
          - 'Volume: 0.0615830'
          - 'Pixel count: 130550'
          - 'Area: 0.00130549'
      OUTPUT_TABLE:
        name: expected/surface_vol_subtract.gml
        type: vector

  - algorithm: native:rastersurfacevolume
    name: Surface volume add below
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      LEVEL: 100.0
      METHOD: 3
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_add.html
        type: regex
        rules:
          - 'Volume: 0.06802752'
          - 'Pixel count: 130550'
          - 'Area: 0.00130549'
      OUTPUT_TABLE:
        name: expected/surface_vol_add.gml
        type: vector

  - algorithm: native:rastersurfacevolume
    name: Surface volume above (meters)
    params:
      BAND: 1
      INPUT:
        name: custom/dem_crs.tif
        type: raster
      LEVEL: 150.0
      METHOD: 0
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_above_crs.html
        type: regex
        rules:
          - 'Volume: 413784918\.'
          - 'Pixel count: 64692'
          - 'Area: 11497732\.'
      OUTPUT_TABLE:
        name: expected/surface_vol_above_crs.gml
        type: vector
        compare:
          fields:
            volume:
              cast: float
              precision: 5

  - algorithm: native:rastersurfacevolume
    name: Surface volume below (meters)
    params:
      BAND: 1
      INPUT:
        name: custom/dem_crs.tif
        type: raster
      LEVEL: 150.0
      METHOD: 1
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_below_crs.html
        type: regex
        rules:
          - 'Volume: -479651884\.'
          - 'Pixel count: 65660'
          - 'Area: 11669775\.'
      OUTPUT_TABLE:
        name: expected/surface_vol_below_crs.gml
        type: vector
        compare:
          fields:
            volume:
              cast: float
              precision: 5

  - algorithm: native:rastersurfacevolume
    name: Surface volume subtract below (meters)
    params:
      BAND: 1
      INPUT:
        name: custom/dem_crs.tif
        type: raster
      LEVEL: 150.0
      METHOD: 2
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_subtract_crs.html
        type: regex
        rules:
          - 'Volume: -65866966\.'
          - 'Pixel count: 130550'
          - 'Area: 23202698\.'
      OUTPUT_TABLE:
        name: expected/surface_vol_subtract_crs.gml
        type: vector

  - algorithm: native:rastersurfacevolume
    name: Surface volume add below (meters)
    params:
      BAND: 1
      INPUT:
        name: custom/dem_crs.tif
        type: raster
      LEVEL: 150.0
      METHOD: 3
    results:
      OUTPUT_HTML_FILE:
        name: expected/surface_vol_add_crs.html
        type: regex
        rules:
          - 'Volume: 893436802\.'
          - 'Pixel count: 130550'
          - 'Area: 23202698\.'
      OUTPUT_TABLE:
        name: expected/surface_vol_add_crs.gml
        type: vector
        compare:
          fields:
            volume:
              cast: float
              precision: 5

  - algorithm: native:rastersurfacevolume
    name: Surface volume with gaps
    params:
      BAND: 1
      INPUT:
        name: custom/dem_gaps.tif
        type: raster
      LEVEL: 101.0
      METHOD: 0
    results:
      OUTPUT_TABLE:
        name: expected/surface_vol_gaps.gml
        type: vector

  - algorithm: native:dissolve
    name: Test dissolve with consecutive lines
    params:
      INPUT:
        name: custom/consecutivelines.gml|layername=consecutivelines
        type: vector
    results:
      OUTPUT:
        name: expected/dissolved_consecutive_lines.gml
        type: vector

  - algorithm: native:rasterbooleanand
    name: Boolean AND, nodata
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: false
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean1.tif
        type: raster
    results:
      OUTPUT:
        hash: 96799caed50406d3e31e05a182a6872231f800f01dea126aa9fbafdd
        type: rasterhash

  - algorithm: native:rasterbooleanand
    name: Boolean AND, nodata as false
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: true
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean1.tif
        type: raster
    results:
      OUTPUT:
        hash: bf225380193226957a2210dc45a9c10dffac5dadcee932459e243456
        type: rasterhash

  - algorithm: native:rasterbooleanand
    name: Boolean AND, resampling
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3_resample.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: false
      NO_DATA: -999.0
      REF_LAYER:
        name: custom/raster_boolean3.tif
        type: raster
    results:
      OUTPUT:
        hash: 9c7f3070ad53b98ad9f42c3f758546268000043e990fbb38495d3c86
        type: rasterhash

  - algorithm: native:rasterbooleanand
    name: Boolean AND resample, nodata as false
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3_resample.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: true
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean3.tif
        type: raster
    results:
      OUTPUT:
        hash: 1de336faba85a6b51684bda85b4f3b954b7e54486632352e05c9fab3
        type: rasterhash

  - algorithm: native:rasterbooleanand
    name: Boolean AND, reference layer
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: false
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean3_resample.tif
        type: raster
    results:
      OUTPUT:
        hash: eb41f92cb1198f1e4bed71e4a78d4fe2d3b35462a3949588d85cc818
        type: rasterhash

  - algorithm: native:rasterlogicalor
    name: Boolean OR
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: false
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean1.tif
        type: raster
    results:
      OUTPUT:
        hash: d9fe5b26cf76ff58674fd6adeb1933f4b5c9b39ca6f57b876455f167
        type: rasterhash

  - algorithm: native:rasterlogicalor
    name: Boolean OR, nodata as false
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: true
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean1.tif
        type: raster
    results:
      OUTPUT:
        hash: de7a8dabce3872e6ef1acd4821f7f550ac41a43d5b5914ab4474cec1
        type: rasterhash

  - algorithm: native:rasterlogicalor
    name: Boolean OR resample
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3_resample.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: false
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean3.tif
        type: raster
    results:
      OUTPUT:
        hash: 2cd2f073cf337264140c1e5e3f162d5d134a731a094f1e1109e3ce12
        type: rasterhash

  - algorithm: native:rasterlogicalor
    name: Boolean OR resample, nodata as false
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3_resample.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: true
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean3.tif
        type: raster
    results:
      OUTPUT:
        hash: d344a9306b7453c3faaef4558a9187da5525b0c90c6a04502bf15f1b
        type: rasterhash

  - algorithm: native:rasterlogicalor
    name: Boolean OR, reference layer
    params:
      DATA_TYPE: 5
      INPUT:
        params:
        - name: custom/raster_boolean1.tif
          type: raster
        - name: custom/raster_boolean2.tif
          type: raster
        - name: custom/raster_boolean3.tif
          type: raster
        type: multi
      NODATA_AS_FALSE: false
      NO_DATA: -9999.0
      REF_LAYER:
        name: custom/raster_boolean3_resample.tif
        type: raster
    results:
      OUTPUT:
        hash: 4e395a2151aba7558efedd43a33c85bbaae451ebcccef9a6dac86de4
        type: rasterhash

  - algorithm: native:addxyfields
    name: Add XY 4326
    params:
      CRS: EPSG:4326
      INPUT:
        name: points.gml|layername=points
        type: vector
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/add_xy_4326.gml
        type: vector

  - algorithm: native:addxyfields
    name: Add XY 3785
    params:
      CRS: EPSG:3785
      INPUT:
        name: points.gml|layername=points
        type: vector
      PREFIX: p_
    results:
      OUTPUT:
        name: expected/add_xy_3857.gml
        type: vector
        compare:
          fields:
            p_x:
              precision: 6
            p_y:
              precision: 6

  - algorithm: native:joinbynearest
    name: Join by nearest polys to points
    params:
      INPUT:
        name: snap_points.gml|layername=snap_points
        type: vector
      INPUT_2:
        name: snap_polys.gml|layername=snap_polys
        type: vector
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/nearest_polys_to_points.gml
        type: vector

  - algorithm: native:joinbynearest
    name: Nearest polys to points, with options
    params:
      FIELDS_TO_COPY:
      - fid
      INPUT:
        name: snap_points.gml|layername=snap_points
        type: vector
      INPUT_2:
        name: snap_polys.gml|layername=snap_polys
        type: vector
      MAX_DISTANCE: 3.5
      NEIGHBORS: 2
      PREFIX: j_
    results:
      OUTPUT:
        name: expected/nearest_polys_to_points_options.gml
        type: vector

  - algorithm: native:joinbynearest
    name: Nearest lines to polys
    params:
      INPUT:
        name: snap_polys.gml|layername=snap_polys
        type: vector
      INPUT_2:
        name: snap_lines.gml|layername=snap_lines
        type: vector
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/nearest_lines_to_polys.gml
        type: vector
        pk: [fid,fid_2]

  - algorithm: native:joinbynearest
    name: Nearest lines to polys, max distance 0
    params:
      INPUT:
        name: snap_polys.gml|layername=snap_polys
        type: vector
      INPUT_2:
        name: snap_lines.gml|layername=snap_lines
        type: vector
      MAX_DISTANCE: 0.0
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/nearest_lines_to_polys_max_distance_0.gml
        type: vector
        pk: [fid,fid_2]

  - algorithm: native:joinbynearest
    name: Nearest points to lines, with max distance
    params:
      INPUT:
        name: snap_lines.gml|layername=snap_lines
        type: vector
      INPUT_2:
        name: snap_points.gml|layername=snap_points
        type: vector
      MAX_DISTANCE: 1.5
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/nearest_points_to_lines.gml
        type: vector

  - algorithm: native:joinbynearest
    name: Nearest points to lines, reprojected
    params:
      INPUT:
        name: custom/snap_lines_3857.gml|layername=snap_lines_3857
        type: vector
      INPUT_2:
        name: snap_points.gml|layername=snap_points
        type: vector
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/nearest_points_to_reproj_lines.gml
        type: vector
        compare:
          fields:
            distance:
              precision: 5
            feature_x:
              precision: 5
            nearest_x:
              precision: 5

  - algorithm: native:joinbynearest
    name: Nearest lines to points, reprojected
    params:
      INPUT:
        name: snap_points.gml|layername=snap_points
        type: vector
      INPUT_2:
        name: custom/snap_lines_3857.gml|layername=snap_lines_3857
        type: vector
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/nearest_lines_to_points_reprojected.gml
        type: vector
        compare:
          fields:
            distance:
              precision: 5
            nearest_y:
              precision: 5

  - algorithm: native:joinbynearest
    name: Join to nearest, self join
    params:
      DISCARD_NONMATCHING: false
      INPUT:
        name: snap_points.gml|layername=snap_points
        type: vector
      INPUT_2:
        name: snap_points.gml|layername=snap_points
        type: vector
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/join_to_nearest_self.gml
        type: vector

  - algorithm: native:joinbynearest
    name: Join to nearest 2, self join
    params:
      DISCARD_NONMATCHING: false
      INPUT:
        name: snap_points.gml|layername=snap_points
        type: vector
      INPUT_2:
        name: snap_points.gml|layername=snap_points
        type: vector
      NEIGHBORS: 2
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/join_to_nearest_self_2.gml
        type: vector

  - algorithm: native:joinbynearest
    name: Join to nearest, discard no matching
    params:
      DISCARD_NONMATCHING: true
      INPUT:
        name: snap_points.gml|layername=snap_points
        type: vector
      INPUT_2:
        name: snap_lines.gml|layername=snap_lines
        type: vector
      MAX_DISTANCE: 1.0
      NEIGHBORS: 1
      PREFIX: ''
    results:
      OUTPUT:
        name: expected/join_points_to_layers_discard.gml
        type: vector

  - algorithm: native:joinbynearest
    name: Join by nearest, no matching sink
    params:
      DISCARD_NONMATCHING: true
      INPUT:
        name: snap_points.gml|layername=snap_points
        type: vector
      INPUT_2:
        name: snap_lines.gml|layername=snap_lines
        type: vector
      MAX_DISTANCE: 1.0
      NEIGHBORS: 1
      PREFIX: ''
    results:
      NON_MATCHING:
        name: expected/join_to_nearest_no_matches.gml
        type: vector

  - name: Generate XYZ tiles (Directory)
    algorithm: qgis:tilesxyzdirectory
    project: ../../../../../tests/testdata/xyztiles.qgs
    project_crs: EPSG:3857
    params:
      EXTENT: -12535000,-9883000,3360000,5349000 [EPSG:3857]
      ZOOM_MIN: 1
      ZOOM_MAX: 3
      TILE_FORMAT: 0     # png
      TMS_CONVENTION: false
      TILE_WIDTH: 256
      TILE_HEIGHT: 256

    results:
      OUTPUT_DIRECTORY:
        type: directory
        name: expected/xyztiles

  - algorithm: native:writevectortiles_xyz
    name: Generate vector tiles (Directory)
    params:
      LAYERS:
        type: vrtlayers
        params:
        - layer: ../../../../../tests/testdata/lines.shp
        - layer: ../../../../../tests/testdata/points.shp
        - layer: ../../../../../tests/testdata/polys.shp
      MAX_ZOOM: 3
      MIN_ZOOM: 1
      XYZ_TEMPLATE: '{z}/{x}/{y}.pbf'
    results:
      OUTPUT_DIRECTORY:
        type: directory
        name: expected/xyztiles_vector

  - algorithm: native:calculatevectoroverlaps
    name: Overlap analysis 1
    ellipsoid: GRS80
    project_crs: EPSG:4326
    params:
      INPUT:
        name: custom/overlay0.geojson
        type: vector
      LAYERS:
        params:
        - name: custom/overlay1_a.geojson
          type: vector
        - name: custom/overlay1_b.geojson
          type: vector
        - name: custom/overlay2_a.geojson
          type: vector
        - name: custom/overlay2_b.geojson
          type: vector
        - name: custom/overlay3_a.geojson
          type: vector
        - name: custom/overlay3_b.geojson
          type: vector
        type: multi
    results:
      OUTPUT:
        name: expected/overlap_analysis_1.gml
        type: vector
        compare:
          fields:
            custom_overlay1_a.geojson_area:
              precision: 5
            custom_overlay1_a.geojson_pc:
              precision: 5
            custom_overlay1_b.geojson_area:
              precision: 5
            custom_overlay1_b.geojson_pc:
              precision: 5
            custom_overlay2_a.geojson_area:
              precision: 5
            custom_overlay2_a.geojson_pc:
              precision: 5
            custom_overlay2_b.geojson_area:
              precision: 5
            custom_overlay2_b.geojson_pc:
              precision: 5
            custom_overlay3_a.geojson_area:
              precision: 5
            custom_overlay3_a.geojson_pc:
              precision: 5
            custom_overlay3_b.geojson_area:
              precision: 4
            custom_overlay3_b.geojson_pc:
              precision: 3

  - algorithm: native:calculatevectoroverlaps
    name: Overlap analysis reprojected
    ellipsoid: GRS80
    project_crs: EPSG:4326
    params:
      INPUT:
        name: custom/overlay0_4326.gml|layername=overlay0_4326
        type: vector
      LAYERS:
        params:
        - name: custom/overlay1_a.geojson
          type: vector
        - name: custom/overlay1_b.geojson
          type: vector
        - name: custom/overlay2_a.geojson
          type: vector
        - name: custom/overlay2_b.geojson
          type: vector
        - name: custom/overlay3_a.geojson
          type: vector
        - name: custom/overlay3_b.geojson
          type: vector
        type: multi
    results:
      OUTPUT:
        name: expected/overlap_analysis_4326.gml
        type: vector
        compare:
          fields:
            custom_overlay2_a.geojson_area:
              precision: 8
            custom_overlay2_a.geojson_pc:
              precision: 7
            custom_overlay2_b.geojson_area:
              precision: 8
            custom_overlay2_b.geojson_pc:
              precision: 7
            custom_overlay1_a.geojson_area:
              precision: 5
            custom_overlay1_a.geojson_pc:
              precision: 5
            custom_overlay1_b.geojson_area:
              precision: 5
            custom_overlay1_b.geojson_pc:
              precision: 5
            custom_overlay3_a.geojson_area:
              precision: 5
            custom_overlay3_a.geojson_pc:
              precision: 5
            custom_overlay3_b.geojson_area:
              precision: 4
            custom_overlay3_b.geojson_pc:
              precision: 3

  - algorithm: native:calculatevectoroverlaps
    name: Overlap analysis 3, reordered inputs
    ellipsoid: GRS80
    project_crs: EPSG:4326
    params:
      INPUT:
        name: custom/overlay0.geojson
        type: vector
      LAYERS:
        params:
        - name: custom/overlay3_b.geojson
          type: vector
        - name: custom/overlay1_b.geojson
          type: vector
        - name: custom/overlay2_a.geojson
          type: vector
        - name: custom/overlay2_b.geojson
          type: vector
        - name: custom/overlay1_a.geojson
          type: vector
        - name: custom/overlay3_a.geojson
          type: vector
        type: multi
    results:
      OUTPUT:
        name: expected/overlap_analysis_3.gml
        type: vector
        compare:
          fields:
            custom_overlay1_a.geojson_area:
              precision: 8
            custom_overlay1_a.geojson_pc:
              precision: 3
            custom_overlay1_b.geojson_area:
              precision: 8
            custom_overlay1_b.geojson_pc:
              precision: 3
            custom_overlay2_a.geojson_area:
              precision: 8
            custom_overlay2_a.geojson_pc:
              precision: 3
            custom_overlay2_b.geojson_area:
              precision: 8
            custom_overlay2_b.geojson_pc:
              precision: 3
            custom_overlay3_a.geojson_area:
              precision: 8
            custom_overlay3_a.geojson_pc:
              precision: 3
            custom_overlay3_b.geojson_area:
              precision: 4
            custom_overlay3_b.geojson_pc:
              precision: 3

  - algorithm: native:splitfeaturesbycharacter
    name: Split features by character
    params:
      CHAR: B
      FIELD: val
      INPUT:
        name: custom/split_points.shp|layername=split_points
        type: vector
      REGEX: false
    results:
      OUTPUT:
        name: expected/split_by_char_a.gml
        type: vector

  - algorithm: native:splitfeaturesbycharacter
    name: Split features by character 2
    params:
      CHAR: aB
      FIELD: val
      INPUT:
        name: custom/split_points.shp|layername=split_points
        type: vector
      REGEX: false
    results:
      OUTPUT:
        name: expected/split_by_char_b.gml
        type: vector

  - algorithm: native:splitfeaturesbycharacter
    name: Split features by character regex
    params:
      CHAR: \d
      FIELD: val2
      INPUT:
        name: custom/split_points.shp|layername=split_points
        type: vector
      REGEX: true
    results:
      OUTPUT:
        name: expected/split_by_char_regex.gml
        type: vector

  - algorithm: native:affinetransform
    name: Affine transform
    params:
      DELTA_M: 4.0
      DELTA_X: 1.0
      DELTA_Y: 2.0
      DELTA_Z: 3.0
      INPUT:
        name: custom/pointszm.shp
        type: vector
      ROTATION_Z: 45.0
      SCALE_M: 1.4
      SCALE_X: 1.1
      SCALE_Y: 1.2
      SCALE_Z: 1.3
    results:
      OUTPUT:
        name: expected/affine_transform.gml
        type: vector

  - algorithm: native:renametablefield
    name: Rename table field
    params:
      FIELD: id2
      INPUT:
        name: points.gml|layername=points
        type: vector
      NEW_NAME: id_renamed
    results:
      OUTPUT:
        name: expected/renamed_field.gml
        type: vector

  - algorithm: native:filterbygeometry
    name: Filter by geometry type polygon input
    params:
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      LINES:
        name: expected/filter_geom_polys_line.gml
        type: vector
      NO_GEOMETRY:
        name: expected/filter_geom_polys_null.gml
        type: vector
      POINTS:
        name: expected/filter_geom_polys_point.gml
        type: vector
      POLYGONS:
        name: expected/filter_geom_polys_poly.gml
        type: vector

  - algorithm: native:filterbygeometry
    name: Filter by geometry type point input
    params:
      INPUT:
        name: points.gml|layername=points
        type: vector
    results:
      LINES:
        name: expected/filter_geom_points_line.gml
        type: vector
      NO_GEOMETRY:
        name: expected/filter_geom_points_null.gml
        type: vector
      POINTS:
        name: expected/filter_geom_points_point.gml
        type: vector
      POLYGONS:
        name: expected/filter_geom_points_poly.gml
        type: vector

  - algorithm: native:filterbygeometry
    name: Filter by geometry type line input
    params:
      INPUT:
        name: lines.gml|layername=lines
        type: vector
    results:
      LINES:
        name: expected/filter_geom_lines_line.gml
        type: vector
      NO_GEOMETRY:
        name: expected/filter_geom_lines_null.gml
        type: vector
      POINTS:
        name: expected/filter_geom_lines_point.gml
        type: vector
      POLYGONS:
        name: expected/filter_geom_lines_poly.gml
        type: vector

  - algorithm: native:rescaleraster
    name: Rescale raster (original nodata)
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      MAXIMUM: 65535.0
      MINIMUM: 0.0
    results:
      OUTPUT:
        hash: 63610fb1f7ec3d6530591b1eb479355b52cedfebf6331cec77f2b35c
        type: rasterhash

  - algorithm: native:rescaleraster
    name: Rescale raster (new nodata)
    params:
      BAND: 1
      INPUT:
        name: dem.tif
        type: raster
      MAXIMUM: 65535.0
      MINIMUM: 0.0
      NODATA: -255.0
    results:
      OUTPUT:
        hash: 63610fb1f7ec3d6530591b1eb479355b52cedfebf6331cec77f2b35c
        type: rasterhash

  - algorithm: native:angletonearest
    name: Align points to nearest line, no max distance
    params:
      APPLY_SYMBOLOGY: true
      FIELD_NAME: rotation
      INPUT:
        name: points.gml|layername=points
        type: vector
      REFERENCE_LAYER:
        name: custom/snap_lines_3857.gml|layername=snap_lines_3857
        type: vector
    results:
      OUTPUT:
        name: expected/rotated_points_no_max.gml
        type: vector
        compare:
          fields:
            rotation:
              precision: 2

  - algorithm: native:angletonearest
    name: Align points to nearest line, max distance
    params:
      APPLY_SYMBOLOGY: true
      FIELD_NAME: angle
      INPUT:
        name: points.gml|layername=points
        type: vector
      MAX_DISTANCE: 1.0
      REFERENCE_LAYER:
        name: custom/snap_lines_3857.gml|layername=snap_lines_3857
        type: vector
    results:
      OUTPUT:
        name: expected/rotated_points_max.gml
        type: vector
        compare:
          fields:
            angle:
              precision: 2

  - algorithm: native:deletecolumn
    name: Delete one column
    params:
      COLUMN:
      - fid
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      OUTPUT:
        name: expected/drop_fields_one.gml
        type: vector

  - algorithm: native:deletecolumn
    name: Delete two columns
    params:
      COLUMN:
      - name
      - floatval
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      OUTPUT:
        name: expected/delete_columns_two.gml
        type: vector

  - algorithm: native:deletecolumn
    name: Delete three columns
    params:
      COLUMN:
        - fid
        - intval
        - doesntexist # should NOT cause algorithm to abort, just a warning -- otherwise we can't make flexible models
        - floatval
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      OUTPUT:
        name: expected/delete_columns_three.gml
        type: vector

  - algorithm: native:retainfields
    name: Retain one field
    params:
      FIELDS:
      - name
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      OUTPUT:
        name: expected/retain_fields_one.gml
        type: vector

  - algorithm: native:retainfields
    name: Retain two fields
    params:
      FIELDS:
      - floatval
      - name
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      OUTPUT:
        name: expected/retain_fields_two.gml
        type: vector

  - algorithm: native:retainfields
    name: Retain three fields
    params:
      FIELDS:
      - name
      - floatval
      - doesntexist # should NOT cause algorithm to abort, just a warning -- otherwise we can't make flexible models
      - intval
      INPUT:
        name: polys.gml|layername=polys2
        type: vector
    results:
      OUTPUT:
        name: expected/retain_fields_three.gml
        type: vector

  - algorithm: native:extractwithindistance
    name: Points within distance
    params:
      DISTANCE: 0.8
      INPUT:
        name: points.gml|layername=points
        type: vector
      REFERENCE:
        name: lines.gml|layername=lines
        type: vector
    results:
      OUTPUT:
        name: expected/points_within_distance.gml
        type: vector

  - algorithm: native:extractwithindistance
    name: Lines within distance
    params:
      DISTANCE: 0.8
      INPUT:
        name: lines.gml|layername=lines
        type: vector
      REFERENCE:
        name: points.gml|layername=points
        type: vector
    results:
      OUTPUT:
        name: expected/lines_within_distance.gml
        type: vector

  - algorithm: native:extractwithindistance
    name: Points within distance reprojected
    params:
      DISTANCE: 0.7
      INPUT:
        name: points.gml|layername=points
        type: vector
      REFERENCE:
        name: custom/snap_lines_3857.shp
        type: vector
    results:
      OUTPUT:
        name: expected/points_within_distance_transform.gml
        type: vector

  - algorithm: native:extractwithindistance
    name: Lines within distance reprojected
    params:
      DISTANCE: 50000.0
      INPUT:
        name: custom/snap_lines_3857.shp
        type: vector
      REFERENCE:
        name: points.gml|layername=points
        type: vector
    results:
      OUTPUT:
        name: expected/lines_within_distance_transform.gml
        type: vector

  - algorithm: native:shortestline
    name: Test native:shortestline using centroid destination and matching CRSs
    project_crs: EPSG:3857
    params:
      DESTINATION:
        name: custom/snap_lines_3857.shp
        type: vector
      METHOD: '1'
      NEIGHBORS: 1
      SOURCE:
        name: custom/points_distance_3857.shp
        type: vector
    results:
      OUTPUT:
        name: expected/shortest_line_point_to_lineCentroid_3857.shp
        type: vector

  - algorithm: native:shortestline
    name: Test native:shortestline using nearest point on line geometry destination and matching CRSs
    project_crs: EPSG:3857
    params:
      DESTINATION:
        name: custom/snap_lines_3857.shp
        type: vector
      METHOD: '0'
      NEIGHBORS: 1
      SOURCE:
        name: custom/points_distance_3857.shp
        type: vector
    results:
      OUTPUT:
        name: expected/shortest_line_point_to_line_3857.shp
        type: vector

  - algorithm: native:shortestline
    name: Test native:shortestline using nearest point on polygon geometry destination and differing CRSs
    params:
      DESTINATION:
        name: custom/polys_epsg31256.shp
        type: vector
      METHOD: '0'
      NEIGHBORS: 1
      SOURCE:
        name: custom/points.shp
        type: vector
    results:
      OUTPUT:
        name: expected/shortest_line_point_to_polygon_4326_to_31256.shp
        type: vector

  - algorithm: native:shortestline
    name: Test native:shortestline using nearest point on line geometry destination and differing CRSs
    params:
      DESTINATION:
        name: custom/snap_lines_3857.shp
        type: vector
      METHOD: '0'
      NEIGHBORS: 1
      SOURCE:
        name: custom/points.shp
        type: vector
    results:
      OUTPUT:
        name: expected/shortest_line_point_to_line_4326_to_3857.shp
        type: vector

# See ../README.md for a description of the file format