>>> import copy
>>> from topo.pattern.basic import Gaussian,Constant
>>> from numpy import array
>>> from numpy.testing import assert_array_equal
>>> from topo.tests.utils import assert_array_not_equal, new_simulation
>>> from topo import numbergen
>>> from topo.command.basic import pattern_present,save_input_generators,restore_input_generators
>>> import topo


>>> ignore=new_simulation()
>>> R = topo.sim['GS']
>>> ig=Gaussian(x=numbergen.UniformRandom())
>>> R.set_input_generator(ig)

>>> topo.sim.time()==0
True

# check for bug:
# pattern_present() before any run() messes up events
>>> pattern_present(inputs={'GS':Constant(scale=1)}) # comment out this line & test passes
>>> a_t1 = copy.deepcopy(R.activity)

>>> topo.sim.run(1)
>>> assert_array_not_equal(R.activity,a_t1,"GS activity pattern did not change.")



>>> topo.sim.run(1) # 2
>>> x_t2 = R.input_generator.x
>>> a_t2 = copy.deepcopy(R.activity)

>>> topo.sim.run(1) # 3
>>> x_t3 = R.input_generator.x
>>> a_t3 = copy.deepcopy(R.activity)

# check that dyn params are advancing
>>> x_t2==x_t3 
False
>>> assert_array_not_equal(a_t2,a_t3)


### Test pattern_present
>>> pattern_present(inputs={'GS':Constant(scale=1)})

# check activity pattern
>>> assert_array_equal(array([[1.,1.],[1.,1.]]),R.activity)

# check time's back to where it should be
>>> topo.sim.time()==3
True

# check input generator was restored
>>> R.input_generator is ig
True
>>> R.input_generator.x==x_t3
True


>>> topo.sim.run(1)
>>> topo.sim.time()==4
True

>>> x_t4 = R.input_generator.x
>>> a_t4 = copy.deepcopy(R.activity)


>>> topo.sim.run(1)  # 5

>>> x_t5 = R.input_generator.x
>>> x_t5==x_t4
False

>>> a_t5 = copy.deepcopy(R.activity)
>>> assert_array_not_equal(a_t5,a_t4)


>>> topo.sim.run(1)  # 6

>>> x_t6 = R.input_generator.x
>>> x_t6==x_t5
False

>>> a_t6 = copy.deepcopy(R.activity)
>>> assert_array_not_equal(a_t6,a_t5)



# check for GeneratorSheet bug:
# push_input_generator didn't copy

### Test save_/restore_generators
>>> save_input_generators()
>>> R.input_generator.x = 376.7
>>> restore_input_generators()
>>> R.input_generator.x==376.7
False


>>> ignore=new_simulation()

>>> topo.sim.time()==0
True

>>> R = topo.sim['GS']
>>> ig=Gaussian(x=numbergen.UniformRandom())
>>> R.set_input_generator(ig)

# CB: need to add test for bug
# save_input_generators() before any run() messes up events
## >>> save_input_generators()
## >>> a_t1 = copy.deepcopy(R.activity)

## >>> topo.sim.run(1)
## >>> assert_array_not_equal(R.activity,a_t1,"GS activity pattern did not change.")
