ADD: .gitlab-ci.yml

Closes #9 (closed)

pyotb/core.py

@@ -395,9 +395,9 @@ class Slicer(otbObject):
         - an ExtractROI app that handles extracting bands and ROI and can be written to disk or used in pipelines
         - in case the user only wants to extract one band, an expression such as "im1b#"
         :param x: input
-        :param rows: number of rows
-        :param cols: number of columns
-        :param channels: number of channels
+        :param rows: rows slicing (e.g. 100:2000)
+        :param cols: columns slicing (e.g. 100:2000)
+        :param channels: channels, can be slicing, list or int
         """
         # Initialize the app that will be used for writing the slicer
         app = App('ExtractROI', {"in": x, 'mode': 'extent'}, propagate_pixel_type=True)
@@ -967,8 +967,9 @@ class Operation(otbObject):
     def get_real_exp(self, fake_exp_bands):
         """
         Generates the BandMathX expression
-        :param fake_exp_bands: BandMath expression
-        :return: exp_bands, exp
+        :param fake_exp_bands: list of fake expressions, each item corresponding to one band
+        :return exp_bands: BandMath expression, split in a list, each item corresponding to one band
+        :return exp: BandMath expression
         """
         # Create a list of expression, each item corresponding to one band (e.g. ['im1b1 + 1', 'im1b2 + 1'])
         exp_bands = []
@@ -1011,9 +1012,9 @@ class logicalOperation(Operation):
     def create_fake_exp(self, operator, inputs, nb_bands=None):
         """
         Create a dummy bandmath expression
-        :param operator: Operator
-        :param inputs: Inputs
-        :param nb_bands: number of channels
+        :param operator: (str) one of >, <, >=, <=, ==, !=, &, |
+        :param inputs: Can be App, Output, Input, Operation, Slicer, filepath, int or float
+        :param nb_bands: to specify the output nb of bands. Optional, should only be used for `?` operation
         """
 
         # For any other operations, the output number of bands is the same as inputs