Adapting tests to recent changes avoiding warnings.

neurophysik · Sep 4, 2020 · dd5b6d6 · dd5b6d6
1 parent 23ade43
commit dd5b6d6
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Showing 3 changed files with 4 additions and 3 deletions.
diff --git a/tests/test_jitcdde.py b/tests/test_jitcdde.py
@@ -74,6 +74,7 @@ def setUp(self):
 		if self.DDE.f_sym():
 			self.DDE.check()
 		self.generator()
+		self.DDE.initial_discontinuities_handled = True
 
 	def assert_consistency_with_previous(self, value):
 		if self.y_10 is None:

diff --git a/tests/test_lyaps.py b/tests/test_lyaps.py
@@ -49,11 +49,11 @@ def test_integrate_blindly(self):
 		self.DDE.integrate_blindly(100.0, 0.1)
 
 	def test_step_on_discontinuities(self):
-		self.DDE.step_on_discontinuities(max_step=0.1)
+		self.DDE.step_on_discontinuities()
 
 	## Takes forever:
 	# def test_Python_core(self):
-	# 	self.DDE.generate_lambdas()
+	# 	self.DDE.generate_lambdas(simplify=False)
 	# 	self.DDE.step_on_discontinuities(max_step=0.1)
 
 	def tearDown(self):

diff --git a/tests/test_sympy_input.py b/tests/test_sympy_input.py
@@ -70,7 +70,7 @@ def symengine_y(index,time=symengine_t):
 	DDE = jitcdde.jitcdde( [cos(t)*y(0)-y(0,t-1)], verbose=False )
 	DDE.constant_past([1],0.0)
 
-	DDE.step_on_discontinuities(max_step=0.1)
+	DDE.step_on_discontinuities()
 	result = DDE.integrate(10)[0]
 	results.add(result)