HG_REPOSITORIES/LPP/INSTRUMENTATION/USERS/JEANDET/SciQLOPCore Files · tests/TestVariables.py

Switched to cpp_utils package...

Switched to cpp_utils package Signed-off-by: Alexis Jeandet <alexis.jeandet@member.fsf.org>

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             TestVariables.py
        
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        jeandet
    
More work on new Variable python bindings...

              r63
            
      import sys

      import os

        jeandet
    
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      if not hasattr(sys, 'argv') or len(sys.argv)==0:

          sys.argv = ['']

      current_script_path = os.path.dirname(os.path.realpath(__file__))

      sys.path.append(current_script_path)

        jeandet
    
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              r63
            
      import sciqlopqt

      import pysciqlopcore

      import numpy as np

        jeandet
    
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      import pandas as pds

        jeandet
    
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              r63
            
      import datetime

      import time

      import unittest

      import ddt

      def listify(obj):

          if hasattr(obj, "__getitem__"):

              return obj

          return [obj]

      @ddt.ddt

      class TimeSeriesCtors(unittest.TestCase):

          @ddt.data(

                   (pysciqlopcore.ScalarTimeSerie,10),

                   (pysciqlopcore.VectorTimeSerie,10),

        jeandet
    
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                   (pysciqlopcore.SpectrogramTimeSerie,[10,10]),

                   (pysciqlopcore.MultiComponentTimeSerie,[10,10]),

                   (pysciqlopcore.ScalarTimeSerie,0),

                   (pysciqlopcore.VectorTimeSerie,0),

                   (pysciqlopcore.SpectrogramTimeSerie,[0,10]),

                   (pysciqlopcore.MultiComponentTimeSerie,[0,10])

        jeandet
    
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          )

          def test_construct(self, case):

              ts = case[0](case[1])

              self.assertEqual(ts.shape,listify(case[1]))

      class TimeSeriesData(unittest.TestCase):

          def test_set_ScalarTimeSerie_values(self):

              ts = pysciqlopcore.ScalarTimeSerie(10)

              ts.t[0]=111.

              self.assertEqual(ts.t[0],111.)

              ts[0]=123.

              self.assertEqual(ts[0],123.)

        jeandet
    
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          def test_set_VectorTimeSerie_values(self):

              ts = pysciqlopcore.VectorTimeSerie(10)

              ts.t[0]=111.

              self.assertEqual(ts.t[0],111.)

              ts[0].x=111.

              ts[0].y=222.

              ts[0].z=333.

              self.assertEqual(ts[0].x,111.)

              self.assertEqual(ts[0].y,222.)

              self.assertEqual(ts[0].z,333.)

          def test_set_SpectrogramTimeSerie_values(self):

              ts = pysciqlopcore.SpectrogramTimeSerie((10,100))

              ts.t[0]=111.

              self.assertEqual(ts.t[0],111.)

              ts[0][11]=123.

              self.assertEqual(ts[0][11],123.)

        jeandet
    
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              r63
            
          def test_build_ScalarTimeSerie_from_np_arrays(self):

        jeandet
    
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              ts = pysciqlopcore.ScalarTimeSerie(np.arange(10), np.arange(10)*10)

              for i in range(len(ts)):

                  self.assertEqual(ts[i],i*10.)

        jeandet
    
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              r63
            
        jeandet
    
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              r64
            
          def test_build_VectorTimeSerie_from_np_arrays(self):

        jeandet
    
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              r78
            
              v=np.ones((10,3))

        jeandet
    
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              r65
            
              for i in range(3):

        jeandet
    
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              r78
            
                  v.transpose()[:][i] = np.arange(10)*10**i

        jeandet
    
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              r65
            
              ts = pysciqlopcore.VectorTimeSerie(np.arange(10), v)

              for i in range(len(ts)):

                  self.assertEqual(ts[i].x,i)

                  self.assertEqual(ts[i].y,i*10.)

                  self.assertEqual(ts[i].z,i*100.)

        jeandet
    
MultiComponent TS almost done, still blows up when built from python with empty data...

              r76
            
          def test_build_MultiComponentTimeSerie_from_np_arrays(self):

        jeandet
    
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              r78
            
              v=np.ones((10,5))

        jeandet
    
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              r76
            
              for i in range(5):

        jeandet
    
Made TS Python API only compatible with pandas shape (line, column)...

              r78
            
                  v.transpose()[:][i] = np.arange(10)*10**i

        jeandet
    
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              r76
            
              ts = pysciqlopcore.MultiComponentTimeSerie(np.arange(10), v)

              for i in range(len(ts)):

                  self.assertEqual(ts[i][0],i)

                  self.assertEqual(ts[i][1],i*10.)

                  self.assertEqual(ts[i][2],i*100.)

        jeandet
    
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              r77
            
          def test_build_MultiComponentTimeSerie_from_np_arrays_of_nan(self):

        jeandet
    
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              r78
            
              v=np.empty((2,5))

        jeandet
    
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              r77
            
              v.fill(np.nan)

              ts = pysciqlopcore.MultiComponentTimeSerie(np.arange(2), v)

              for i in range(len(ts)):

                  self.assertTrue(np.isnan(ts[i][0]))

                  self.assertTrue(np.isnan(ts[i][1]))

                  self.assertTrue(np.isnan(ts[i][2]))

                  self.assertTrue(np.isnan(ts[i][3]))

        jeandet
    
New TimeSeries classes mostly usable from Python...

              r65
            
          def test_build_VectorTimeSerie_from_np_arrays_row(self):

              v=np.ones((10,3))

              for i in range(3):

                  v.transpose()[:][i] = np.arange(10)*10**i

              ts = pysciqlopcore.VectorTimeSerie(np.arange(10), v)

              for i in range(len(ts)):

                  self.assertEqual(ts[i].x,i)

                  self.assertEqual(ts[i].y,i*10.)

                  self.assertEqual(ts[i].z,i*100.)

        jeandet
    
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              r78
            
          def test_build_ScalarTimeSerie_from_np_dataframe(self):

              df = pds.DataFrame(data=np.zeros((10,1)),index=np.arange(10))

              df[0] = np.arange(10)

              ts = pysciqlopcore.ScalarTimeSerie(df.index.values, df.values)

              for i in range(len(ts)):

                  self.assertEqual(ts[i],i)

        jeandet
    
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              r65
            
          def test_build_VectorTimeSerie_from_np_dataframe(self):

              df = pds.DataFrame(data=np.zeros((10,3)),index=np.arange(10))

              for i in range(3):

                  df[i] = np.arange(10)*10**i

              ts = pysciqlopcore.VectorTimeSerie(df.index.values, df.values)

              for i in range(len(ts)):

                  self.assertEqual(ts[i].x,i)

                  self.assertEqual(ts[i].y,i*10.)

                  self.assertEqual(ts[i].z,i*100.)

          def test_build_SpectrogramTimeSerie_from_np_arrays(self):

        jeandet
    
Some work on SpectrogramTS Python wrapper...

              r83
            
              v=np.ones((10,30))

              for i in range(30):

                  v.transpose()[:][i] = np.arange(10)*10**(i/10.)

              ts = pysciqlopcore.SpectrogramTimeSerie(np.arange(10),np.arange(30), v)

        jeandet
    
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              r65
            
              for i in range(len(ts)):

        jeandet
    
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              r83
            
                  for j in range(30):

                      self.assertEqual(ts[i][j], i*10**(j/10.))

              for i in range(30):

                  self.assertEqual(ts.axis(1)[i], i)

        jeandet
    
Spectrogram wrapper allow to set values from python...

              r66
            
      class VariableData(unittest.TestCase):

          def test_default_state(self):

              v=pysciqlopcore.Variable2("hello")

              self.assertEqual(str(v.name), str("hello"))

              self.assertEqual(type(v.data), type(None))

              self.assertEqual(len(v), 0)

        jeandet
    
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              r65
            
        jeandet
    
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              r66
            
          def test_set_name(self):

              v=pysciqlopcore.Variable2("hello")

              self.assertEqual(str(v.name), str("hello"))

              v.name="newName"

              self.assertEqual(str(v.name), str("newName"))

        jeandet
    
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              r64
            
        jeandet
    
More work on new Variable python bindings...

              r63
            
      if __name__ == '__main__':

        jeandet
    
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          unittest.main(exit=False)

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jeandet More work on new Variable python bindings...	r63	import sys
		import os
jeandet New TimeSeries classes mostly usable from Python...	r65	if not hasattr(sys, 'argv') or len(sys.argv)==0:
		sys.argv = ['']
		current_script_path = os.path.dirname(os.path.realpath(__file__))
		sys.path.append(current_script_path)
jeandet More work on new Variable python bindings...	r63
		import sciqlopqt
		import pysciqlopcore

		import numpy as np
jeandet New TimeSeries classes mostly usable from Python...	r65	import pandas as pds
jeandet More work on new Variable python bindings...	r63	import datetime
		import time
		import unittest
		import ddt

		def listify(obj):
		if hasattr(obj, "__getitem__"):
		return obj
		return [obj]

		@ddt.ddt
		class TimeSeriesCtors(unittest.TestCase):
		@ddt.data(
		(pysciqlopcore.ScalarTimeSerie,10),
		(pysciqlopcore.VectorTimeSerie,10),
jeandet Fixed crash while merging empty TS...	r77	(pysciqlopcore.SpectrogramTimeSerie,[10,10]),
		(pysciqlopcore.MultiComponentTimeSerie,[10,10]),
		(pysciqlopcore.ScalarTimeSerie,0),
		(pysciqlopcore.VectorTimeSerie,0),
		(pysciqlopcore.SpectrogramTimeSerie,[0,10]),
		(pysciqlopcore.MultiComponentTimeSerie,[0,10])
jeandet More work on new Variable python bindings...	r63	)
		def test_construct(self, case):
		ts = case[0](case[1])
		self.assertEqual(ts.shape,listify(case[1]))

		class TimeSeriesData(unittest.TestCase):
		def test_set_ScalarTimeSerie_values(self):
		ts = pysciqlopcore.ScalarTimeSerie(10)
		ts.t[0]=111.
		self.assertEqual(ts.t[0],111.)
		ts[0]=123.
		self.assertEqual(ts[0],123.)

jeandet Spectrogram wrapper allow to set values from python...	r66	def test_set_VectorTimeSerie_values(self):
		ts = pysciqlopcore.VectorTimeSerie(10)
		ts.t[0]=111.
		self.assertEqual(ts.t[0],111.)
		ts[0].x=111.
		ts[0].y=222.
		ts[0].z=333.
		self.assertEqual(ts[0].x,111.)
		self.assertEqual(ts[0].y,222.)
		self.assertEqual(ts[0].z,333.)

		def test_set_SpectrogramTimeSerie_values(self):
		ts = pysciqlopcore.SpectrogramTimeSerie((10,100))
		ts.t[0]=111.
		self.assertEqual(ts.t[0],111.)
		ts[0][11]=123.
		self.assertEqual(ts[0][11],123.)

jeandet More work on new Variable python bindings...	r63	def test_build_ScalarTimeSerie_from_np_arrays(self):
jeandet New TimeSeries classes mostly usable from Python...	r65	ts = pysciqlopcore.ScalarTimeSerie(np.arange(10), np.arange(10)*10)
		for i in range(len(ts)):
		self.assertEqual(ts[i],i*10.)
jeandet More work on new Variable python bindings...	r63
jeandet Added vector build from numpy arrays...	r64	def test_build_VectorTimeSerie_from_np_arrays(self):
jeandet Made TS Python API only compatible with pandas shape (line, column)...	r78	v=np.ones((10,3))
jeandet New TimeSeries classes mostly usable from Python...	r65	for i in range(3):
jeandet Made TS Python API only compatible with pandas shape (line, column)...	r78	v.transpose()[:][i] = np.arange(10)10*i
jeandet New TimeSeries classes mostly usable from Python...	r65	ts = pysciqlopcore.VectorTimeSerie(np.arange(10), v)
		for i in range(len(ts)):
		self.assertEqual(ts[i].x,i)
		self.assertEqual(ts[i].y,i*10.)
		self.assertEqual(ts[i].z,i*100.)

jeandet MultiComponent TS almost done, still blows up when built from python with empty data...	r76
		def test_build_MultiComponentTimeSerie_from_np_arrays(self):
jeandet Made TS Python API only compatible with pandas shape (line, column)...	r78	v=np.ones((10,5))
jeandet MultiComponent TS almost done, still blows up when built from python with empty data...	r76	for i in range(5):
jeandet Made TS Python API only compatible with pandas shape (line, column)...	r78	v.transpose()[:][i] = np.arange(10)10*i
jeandet MultiComponent TS almost done, still blows up when built from python with empty data...	r76	ts = pysciqlopcore.MultiComponentTimeSerie(np.arange(10), v)
		for i in range(len(ts)):
		self.assertEqual(ts[i][0],i)
		self.assertEqual(ts[i][1],i*10.)
		self.assertEqual(ts[i][2],i*100.)

jeandet Fixed crash while merging empty TS...	r77	def test_build_MultiComponentTimeSerie_from_np_arrays_of_nan(self):
jeandet Made TS Python API only compatible with pandas shape (line, column)...	r78	v=np.empty((2,5))
jeandet Fixed crash while merging empty TS...	r77	v.fill(np.nan)
		ts = pysciqlopcore.MultiComponentTimeSerie(np.arange(2), v)
		for i in range(len(ts)):
		self.assertTrue(np.isnan(ts[i][0]))
		self.assertTrue(np.isnan(ts[i][1]))
		self.assertTrue(np.isnan(ts[i][2]))
		self.assertTrue(np.isnan(ts[i][3]))

jeandet New TimeSeries classes mostly usable from Python...	r65	def test_build_VectorTimeSerie_from_np_arrays_row(self):
		v=np.ones((10,3))
		for i in range(3):
		v.transpose()[:][i] = np.arange(10)10*i
		ts = pysciqlopcore.VectorTimeSerie(np.arange(10), v)
		for i in range(len(ts)):
		self.assertEqual(ts[i].x,i)
		self.assertEqual(ts[i].y,i*10.)
		self.assertEqual(ts[i].z,i*100.)

jeandet Made TS Python API only compatible with pandas shape (line, column)...	r78	def test_build_ScalarTimeSerie_from_np_dataframe(self):
		df = pds.DataFrame(data=np.zeros((10,1)),index=np.arange(10))
		df[0] = np.arange(10)
		ts = pysciqlopcore.ScalarTimeSerie(df.index.values, df.values)
		for i in range(len(ts)):
		self.assertEqual(ts[i],i)

jeandet New TimeSeries classes mostly usable from Python...	r65	def test_build_VectorTimeSerie_from_np_dataframe(self):
		df = pds.DataFrame(data=np.zeros((10,3)),index=np.arange(10))
		for i in range(3):
		df[i] = np.arange(10)10*i
		ts = pysciqlopcore.VectorTimeSerie(df.index.values, df.values)
		for i in range(len(ts)):
		self.assertEqual(ts[i].x,i)
		self.assertEqual(ts[i].y,i*10.)
		self.assertEqual(ts[i].z,i*100.)

		def test_build_SpectrogramTimeSerie_from_np_arrays(self):
jeandet Some work on SpectrogramTS Python wrapper...	r83	v=np.ones((10,30))
		for i in range(30):
		v.transpose()[:][i] = np.arange(10)10*(i/10.)
		ts = pysciqlopcore.SpectrogramTimeSerie(np.arange(10),np.arange(30), v)
jeandet New TimeSeries classes mostly usable from Python...	r65	for i in range(len(ts)):
jeandet Some work on SpectrogramTS Python wrapper...	r83	for j in range(30):
		self.assertEqual(ts[i][j], i10*(j/10.))
		for i in range(30):
		self.assertEqual(ts.axis(1)[i], i)
jeandet Spectrogram wrapper allow to set values from python...	r66
		class VariableData(unittest.TestCase):
		def test_default_state(self):
		v=pysciqlopcore.Variable2("hello")
		self.assertEqual(str(v.name), str("hello"))
		self.assertEqual(type(v.data), type(None))
		self.assertEqual(len(v), 0)
jeandet New TimeSeries classes mostly usable from Python...	r65
jeandet Spectrogram wrapper allow to set values from python...	r66	def test_set_name(self):
		v=pysciqlopcore.Variable2("hello")
		self.assertEqual(str(v.name), str("hello"))
		v.name="newName"
		self.assertEqual(str(v.name), str("newName"))
jeandet Added vector build from numpy arrays...	r64
jeandet More work on new Variable python bindings...	r63	if __name__ == '__main__':
jeandet New TimeSeries classes mostly usable from Python...	r65	unittest.main(exit=False)