HG_REPOSITORIES/LPP/SciQLOP_Repos/SciQLop Files · plugins/python_providers/resources/test.py

MultiComponent TS almost complete...

MultiComponent TS almost complete Signed-off-by: Alexis Jeandet <alexis.jeandet@member.fsf.org>

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             test.py
        
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      import sys

      sys.path.append("/home/jeandet/Documents/prog/build-SciQLop-Desktop-Debug/core")

      import PythonProviders

      import pysciqlopcore

      import numpy as np

      someglobal = 1

      def make_scalar(x):

          y = np.cos(x/10.)

          return pysciqlopcore.ScalarTimeSerie(x,y)

      def make_vector(x):

          v=np.ones((3,len(x)))

          for i in range(3):

              v[:][i] = np.cos(x/10. + float(i))

          return pysciqlopcore.VectorTimeSerie(x,v)

      def make_multicomponent(x):

          v=np.ones((4,len(x)))

          for i in range(4):

              v[:][i] = float(i+1) * np.cos(x/10. + float(i))

          return pysciqlopcore.MultiComponentTimeSerie(x,v)

      def get_data(metadata,start,stop):

          x = np.arange(start, stop)

          for key,value in metadata:

              if key == 'xml:id':

                  param_id = value

              elif key == 'type':

                  if value == 'vector':

                      return make_vector(x)

                  elif value == 'multicomponent':

                      return make_multicomponent(x)

          return make_scalar(x)

      PythonProviders.register_product([("/tests/scalar",[],[("type","scalar")]), ("/tests/vector",[],[("type","vector")]), ("/tests/multicomponent",[],[("type","multicomponent"),('size','4')])],get_data)

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				import sys
				sys.path.append("/home/jeandet/Documents/prog/build-SciQLop-Desktop-Debug/core")
				import PythonProviders
				import pysciqlopcore
				import numpy as np

				someglobal = 1

				def make_scalar(x):
				y = np.cos(x/10.)
				return pysciqlopcore.ScalarTimeSerie(x,y)

				def make_vector(x):
				v=np.ones((3,len(x)))
				for i in range(3):
				v[:][i] = np.cos(x/10. + float(i))
				return pysciqlopcore.VectorTimeSerie(x,v)


				def make_multicomponent(x):
				v=np.ones((4,len(x)))
				for i in range(4):
				v[:][i] = float(i+1) * np.cos(x/10. + float(i))
				return pysciqlopcore.MultiComponentTimeSerie(x,v)


				def get_data(metadata,start,stop):
				x = np.arange(start, stop)
				for key,value in metadata:
				if key == 'xml:id':
				param_id = value
				elif key == 'type':
				if value == 'vector':
				return make_vector(x)
				elif value == 'multicomponent':
				return make_multicomponent(x)
				return make_scalar(x)




				PythonProviders.register_product([("/tests/scalar",[],[("type","scalar")]), ("/tests/vector",[],[("type","vector")]), ("/tests/multicomponent",[],[("type","multicomponent"),('size','4')])],get_data)