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

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

tests:

  - algorithm: saga:invertgrid
    name: Raster tools - Invert grid
    params:
      GRID:
        name: dem.tif
        type: raster
    results:
      INVERSE:
        hash: 8e3947b878a00f70ce837fba962f6be6d3f0c8eae2d614099b015f1e
        type: rasterhash

  - algorithm: saga:fixeddistancebuffer
    name: Vector general - Fixed distance buffer (polygon)
    params:
      DARC: 5.0
      DISSOLVE: false
      DIST_FIELD_DEFAULT: 0.5
      NZONES: 1
      POLY_INNER: false
      SHAPES:
        name: polys.gml
        type: vector
    results:
      BUFFER:
        name: expected/saga/buffer_polys.shp
        type: vector

  - algorithm: saga:addrastervaluestopoints
    name: Simple add raster values to points
    params:
      GRIDS:
        params:
        - name: dem.tif
          type: raster
        type: multi
      RESAMPLING: 0
      SHAPES:
        name: custom/points_over.shp
        type: vector
    results:
      RESULT:
        name: expected/saga/add_grid_to_points.shp
        type: vector

  - algorithm: saga:addrastervaluestofeatures
    name: Add raster values to shapes
    params:
      GRIDS:
        params:
        - name: dem.tif
          type: raster
        type: multi
      RESAMPLING: 0
      SHAPES:
        name: custom/lines_over.shp
        type: vector
    results:
      RESULT:
        name: expected/saga/add_grid_to_shapes.shp
        type: vector

  - algorithm: saga:mergevectorlayers
    name: Merge vector layers
    params:
      INPUT:
        params:
        - name: points.gml
          type: vector
        - name: points_in_polys.gml
          type: vector
        type: multi
      MATCH: true
      SRCINFO: true
    results:
      MERGED:
        name: expected/saga/merge_vector_layers.shp
        type: vector

  - algorithm: saga:reclassifyvaluessimple
    name: Reclassify values (simple)
    params:
      GRID_IN:
        name: raster.tif
        type: raster
      LOOKUP:
      - 800
      - 840
      - 1
      - 840
      - 870
      - 2
      - 870
      - 1000
      - 3
      METHOD: 2
    results:
      GRID_OUT:
        hash: 57437ebf7eb3667c5aa390598120967b0a2cd5d85751185bb445d1f8
        type: rasterhash

  - algorithm: saga:rastercalculator
    name: Raster calculator, 1 input
    params:
      FORMULA: a*10
      GRIDS:
        name: raster.tif
        type: raster
      RESAMPLING: 3
      TYPE: 7
      USE_NODATA: false
      XGRIDS:
        params: []
        type: multi
    results:
      RESULT:
        hash: 68d805a45416467e0f1be3066dd642772cf8ffdff9535f3254cd5ffb
        type: rasterhash

  - algorithm: saga:rastercalculator
    name: Raster calculator, 2 inputs
    params:
      FORMULA: a*10+b
      GRIDS:
        name: raster.tif
        type: raster
      RESAMPLING: 3
      TYPE: 7
      USE_NODATA: false
      XGRIDS:
        params:
        - name: raster.tif
          type: raster
        type: multi
    results:
      RESULT:
        hash: c8c2c7c32ad3eaa1ebb491aed7af7d16f1c7f574a3de1f7622894092
        type: rasterhash

  - algorithm: saga:rastercalculator
    name: Raster calculator, 3 inputs
    params:
      FORMULA: a*10+b-c
      GRIDS:
        name: raster.tif
        type: raster
      RESAMPLING: 3
      TYPE: 7
      USE_NODATA: false
      XGRIDS:
        params:
        - name: dem.tif
          type: raster
        - name: raster.tif
          type: raster
        type: multi
    results:
      RESULT:
        hash: a11f159696f5726eedaa16e872fd2582cf8a88c8c1d84d72560e4647
        type: rasterhash

  - algorithm: saga:simplekriging
    name: Simple kriging
    params:
      BLOCK: true
      DBLOCK: 1.0
      FIELD: elev
      LOG: false
      POINTS:
        name: pointsz.gml
        type: vector
      SEARCH_DIRECTION: 0
      SEARCH_POINTS_ALL: 0
      SEARCH_POINTS_MAX: 10
      SEARCH_POINTS_MIN: 3
      SEARCH_RADIUS: 5.0
      SEARCH_RANGE: 0
      TARGET_USER_FITS: 0
      TARGET_USER_SIZE: 1.0
      TQUALITY: 0
      VAR_MAXDIST: -1.0
      VAR_MODEL: a + b * x
      VAR_NCLASSES: 100
      VAR_NSKIP: 1
    results:
      PREDICTION:
        hash: a1f5a1d369cef86332a914442c444d1c0753e471523cb838d0b2bc09
        type: rasterhash
      VARIANCE:
        hash: 4f0378da7f0ff16326b6c404a202b004b66dbffcda38f42544a11490
        type: rasterhash

  - algorithm: saga:ordinarykriging
    name: Ordinary Kriging
    params:
      BLOCK: true
      DBLOCK: 1.0
      FIELD: elev
      LOG: true
      POINTS:
        name: pointsz.gml
        type: vector
      SEARCH_DIRECTION: 0
      SEARCH_POINTS_ALL: 0
      SEARCH_POINTS_MAX: 10
      SEARCH_POINTS_MIN: 3
      SEARCH_RADIUS: 5.0
      SEARCH_RANGE: 0
      TARGET_USER_FITS: 0
      TARGET_USER_SIZE: 1.0
      TQUALITY: 0
      VAR_MAXDIST: -1.0
      VAR_MODEL: a + b * x
      VAR_NCLASSES: 100
      VAR_NSKIP: 1
    results:
      PREDICTION:
        hash: 0fff15c98a1c5af9eab6c242559a5f4484a7a40f5be399899b24fd39
        type: rasterhash
      VARIANCE:
        hash: ec7b708609178533ac2b89cd575140415ef93c70396fa630d1c15b67
        type: rasterhash

  - algorithm: saga:universalkriging
    name: Universal Kriging
    params:
      BLOCK: true
      DBLOCK: 1.0
      FIELD: elev
      LOG: true
      POINTS:
        name: pointsz.gml
        type: vector
      SEARCH_DIRECTION: 0
      SEARCH_POINTS_ALL: 0
      SEARCH_POINTS_MAX: 10
      SEARCH_POINTS_MIN: 3
      SEARCH_RADIUS: 5.0
      SEARCH_RANGE: 0
      TARGET_USER_FITS: 0
      TARGET_USER_SIZE: 1.0
      TQUALITY: 0
      VAR_MAXDIST: -1.0
      VAR_MODEL: a + b * x
      VAR_NCLASSES: 100
      VAR_NSKIP: 1
    results:
      PREDICTION:
        hash: 0fff15c98a1c5af9eab6c242559a5f4484a7a40f5be399899b24fd39
        type: rasterhash
      VARIANCE:
        hash: ec7b708609178533ac2b89cd575140415ef93c70396fa630d1c15b67
        type: rasterhash