def test_expr_check_linearity():
'''
Test checking for linearity.
'''
expr = Expression('-v / tau + sin(2 * pi * t * f)')
assert expr.check_linearity('v')
assert expr.check_linearity('x') # does not appear in the expression
assert not expr.check_linearity('tau')
def test_construction_errors():
'''
Test that the Equations constructor raises errors correctly
'''
# parse error
assert_raises(EquationError, lambda: Equations('dv/dt = -v / tau volt'))
# Only a single string or a list of SingleEquation objects is allowed
assert_raises(TypeError, lambda: Equations(None))
assert_raises(TypeError, lambda: Equations(42))
assert_raises(TypeError, lambda: Equations(['dv/dt = -v / tau : volt']))
# duplicate variable names
assert_raises(EquationError, lambda: Equations('''dv/dt = -v / tau : volt
v = 2 * t/second * volt : volt'''))
eqs = [SingleEquation(DIFFERENTIAL_EQUATION, 'v', volt,
expr=Expression('-v / tau')),
SingleEquation(SUBEXPRESSION, 'v', volt,
expr=Expression('2 * t/second * volt'))
]
assert_raises(EquationError, lambda: Equations(eqs))
# illegal variable names
assert_raises(ValueError, lambda: Equations('ddt/dt = -dt / tau : volt'))
assert_raises(ValueError, lambda: Equations('dt/dt = -t / tau : volt'))
assert_raises(ValueError, lambda: Equations('dxi/dt = -xi / tau : volt'))
assert_raises(ValueError, lambda: Equations('for : volt'))
assert_raises((EquationError, ValueError),
lambda: Equations('d1a/dt = -1a / tau : volt'))
assert_raises(ValueError, lambda: Equations('d_x/dt = -_x / tau : volt'))
# xi in a subexpression
assert_raises(EquationError,
lambda: Equations('''dv/dt = -(v + I) / (5 * ms) : volt
I = second**-1*xi**-2*volt : volt'''))
# more than one xi
assert_raises(EquationError,
lambda: Equations('''dv/dt = -v / tau + xi/tau**.5 : volt
dx/dt = -x / tau + 2*xi/tau : volt
tau : second'''))
# using not-allowed flags
eqs = Equations('dv/dt = -v / (5 * ms) : volt (flag)')
eqs.check_flags({DIFFERENTIAL_EQUATION: ['flag']}) # allow this flag
assert_raises(ValueError, lambda: eqs.check_flags({DIFFERENTIAL_EQUATION: []}))
assert_raises(ValueError, lambda: eqs.check_flags({}))
assert_raises(ValueError, lambda: eqs.check_flags({SUBEXPRESSION: ['flag']}))
assert_raises(ValueError, lambda: eqs.check_flags({DIFFERENTIAL_EQUATION: ['otherflag']}))
# Circular subexpression
assert_raises(ValueError, lambda: Equations('''dv/dt = -(v + w) / (10 * ms) : 1
w = 2 * x : 1
x = 3 * w : 1'''))
# Boolean/integer differential equations
assert_raises(TypeError, lambda: Equations('dv/dt = -v / (10*ms) : boolean'))
assert_raises(TypeError, lambda: Equations('dv/dt = -v / (10*ms) : integer'))
def test_repeated_construction():
eqs1 = Equations('dx/dt = x : 1')
eqs2 = Equations('dx/dt = x : 1', x='y')
assert len(eqs1) == 1
assert 'x' in eqs1
assert eqs1['x'].expr == Expression('x')
assert len(eqs2) == 1
assert 'y' in eqs2
assert eqs2['y'].expr == Expression('y')
def test_expr_creation():
'''
Test creating expressions.
'''
expr = Expression('v > 5 * mV')
assert expr.code == 'v > 5 * mV'
assert ('v' in expr.identifiers and 'mV' in expr.identifiers and
not 'V' in expr.identifiers)
assert_raises(SyntaxError, lambda: Expression('v 5 * mV'))
def test_expr_creation():
"""
Test creating expressions.
"""
expr = Expression('v > 5 * mV')
assert expr.code == 'v > 5 * mV'
assert ('v' in expr.identifiers and 'mV' in expr.identifiers
and not 'V' in expr.identifiers)
with pytest.raises(SyntaxError):
Expression('v 5 * mV')
def test_split_stochastic():
tau = 5 * ms
expr = Expression('(-v + I) / tau')
# No stochastic part
assert expr.split_stochastic() == (expr, None)
# No non-stochastic part -- note that it should return 0 and not None
expr = Expression('sigma*xi/tau**.5')
non_stochastic, stochastic = expr.split_stochastic()
assert sympy_equals(non_stochastic, 0)
assert 'xi' in stochastic
assert len(stochastic) == 1
assert sympy_equals(stochastic['xi'].code, 'sigma/tau**.5')
expr = Expression('(-v + I) / tau + sigma*xi/tau**.5')
non_stochastic, stochastic = expr.split_stochastic()
assert 'xi' in stochastic
assert len(stochastic) == 1
assert sympy_equals(non_stochastic.code, '(-v + I) / tau')
assert sympy_equals(stochastic['xi'].code, 'sigma/tau**.5')
expr = Expression('(-v + I) / tau + sigma*xi_1/tau**.5 + xi_2*sigma2/sqrt(tau_2)')
non_stochastic, stochastic = expr.split_stochastic()
assert set(stochastic.keys()) == {'xi_1', 'xi_2'}
assert sympy_equals(non_stochastic.code, '(-v + I) / tau')
assert sympy_equals(stochastic['xi_1'].code, 'sigma/tau**.5')
assert sympy_equals(stochastic['xi_2'].code, 'sigma2/tau_2**.5')
expr = Expression('-v / tau + 1 / xi')
assert_raises(ValueError, expr.split_stochastic)
def test_substitute():
# Check that Equations.substitute returns an independent copy
eqs = Equations('dx/dt = x : 1')
eqs2 = eqs.substitute(x='y')
# First equation should be unaffected
assert len(eqs) == 1 and 'x' in eqs
assert eqs['x'].expr == Expression('x')
# Second equation should have x substituted by y
assert len(eqs2) == 1 and 'y' in eqs2
assert eqs2['y'].expr == Expression('y')
def test_resolve():
'''
Test resolving external identifiers.
'''
I = 3 * mV
tau = 5 * ms
expr = Expression('-(v + I) / tau')
namespace = expr.resolve(['v'])
assert not 'v' in namespace
assert namespace['I'] == I and namespace['tau'] == tau
another_I = 5 * mV
expr = Expression('-(v + I) / tau', namespace={'I' : another_I})
# tau is not defined, the namespace should be exhaustive
assert_raises(ValueError, lambda: expr.resolve(['v']))
expr = Expression('-(v + I) / tau', namespace={'I' : another_I,
'tau': tau})
# Now it should work
namespace = expr.resolve(['v'])
assert namespace['I'] == another_I and namespace['tau'] == tau
# test resolution of units not present in any namespace
expr = Expression('v * amp * ohm')
namespace = expr.resolve(['v'])
assert namespace['ohm'] is brian2.ohm and namespace['amp'] is brian2.amp
def test_resolution_warnings():
'''
Test that certain calls to resolve generate a warning.
'''
I = 3 * mV
tau = 5 * ms
another_I = 5 * mV
# Only specifying part of the namespace
expr = Expression('-(v + I) / tau', namespace={'I' : another_I},
exhaustive=False)
# make sure this triggers a warning (the 'I' in the namespace shadows the
# I variable defined above
with catch_logs() as logs:
namespace = expr.resolve(['v'])
assert len(logs) == 1
assert logs[0][0] == 'WARNING'
assert logs[0][1].endswith('resolution_conflict')
assert namespace['I'] == another_I and namespace['tau'] == tau
freq = 300 * Hz
t = 5 * second
# This expression treats t as a special variable and is not actually using
# the t above!
expr = Expression('sin(2 * 3.141 * freq * t)')
with catch_logs() as logs:
namespace = expr.resolve([])
assert len(logs) == 1
assert logs[0][0] == 'WARNING'
assert logs[0][1].endswith('resolution_conflict')
assert namespace['freq'] == freq and not 't' in namespace
I = 3 * mV
tau = 5 * ms
expr = Expression('-(v + I)/ tau')
# If we claim that I is an internal variable, it shadows the variable
# defined in the local namespace -- this should trigger a warning
with catch_logs() as logs:
namespace = expr.resolve(['v', 'I'])
assert len(logs) == 1
assert logs[0][0] == 'WARNING'
assert logs[0][1].endswith('resolution_conflict')
assert namespace['tau'] == tau and not 'I' in namespace
# A more extreme example: I is defined above, but also in the namespace and
# is claimed to be an internal variable
expr = Expression('-(v + I)/ tau', namespace={'I': 5 * mV},
exhaustive=False)
with catch_logs() as logs:
namespace = expr.resolve(['v', 'I'])
assert len(logs) == 1
assert logs[0][0] == 'WARNING'
assert logs[0][1].endswith('resolution_conflict')
assert namespace['tau'] == tau and not 'I' in namespace
def test_split_stochastic():
tau = 5 * ms
expr = Expression('(-v + I) / tau')
expr.resolve(['v', 'I'])
# No stochastic part
assert expr.split_stochastic() == (expr, None)
expr = Expression('(-v + I) / tau + sigma*xi/tau**.5')
expr.resolve(['v', 'I', 'sigma'])
non_stochastic, stochastic = expr.split_stochastic()
assert 'xi' in stochastic.identifiers
assert sympy_equals(non_stochastic.code, '(-v + I) / tau')
assert sympy_equals(stochastic.code, 'sigma*xi/tau**.5')
expr = Expression('-v / tau + 1 / xi')
assert_raises(ValueError, expr.split_stochastic)
def test_expr_units():
'''
Test getting/checking the units of an expression.
'''
tau = 5 * ms
expr = Expression('-v / tau', namespace={'tau': tau})
expr.resolve(['v'])
expr.check_units(volt / second, {'v': volt})
assert_raises(DimensionMismatchError, lambda: expr.check_units(volt / second,
{'v': second}))
assert_raises(DimensionMismatchError, lambda: expr.check_units(volt,
{'v': volt}))
assert expr.get_dimensions({'v': volt}) == get_dimensions(volt / second)
def test_str_repr():
"""
Test the string representation of expressions and statements. Assumes that
__str__ returns the complete expression/statement string and __repr__ a
string of the form "Expression(...)" or "Statements(...)" that can be
evaluated.
"""
expr_string = '(v - I)/ tau'
expr = Expression(expr_string)
# use sympy to check for equivalence of expressions (terms may have be
# re-arranged by sympy)
assert sympy_equals(expr_string, str(expr))
assert sympy_equals(expr_string, eval(repr(expr)).code)
# Use exact string equivalence for statements
statement_string = 'v += w'
statement = Statements(statement_string)
assert str(statement) == 'v += w'
assert repr(statement) == "Statements('v += w')"
def test_construction_errors():
"""
Test that the Equations constructor raises errors correctly
"""
# parse error
with pytest.raises(EquationError):
Equations('dv/dt = -v / tau volt')
with pytest.raises(EquationError):
Equations('dv/dt = -v / tau : volt second')
# incorrect unit definition
with pytest.raises(EquationError):
Equations('dv/dt = -v / tau : mvolt')
with pytest.raises(EquationError):
Equations('dv/dt = -v / tau : voltage')
with pytest.raises(EquationError):
Equations('dv/dt = -v / tau : 1.0*volt')
# Only a single string or a list of SingleEquation objects is allowed
with pytest.raises(TypeError):
Equations(None)
with pytest.raises(TypeError):
Equations(42)
with pytest.raises(TypeError):
Equations(['dv/dt = -v / tau : volt'])
# duplicate variable names
with pytest.raises(EquationError):
Equations("""dv/dt = -v / tau : volt
v = 2 * t/second * volt : volt""")
eqs = [
SingleEquation(DIFFERENTIAL_EQUATION,
'v',
volt.dim,
expr=Expression('-v / tau')),
SingleEquation(SUBEXPRESSION,
'v',
volt.dim,
expr=Expression('2 * t/second * volt'))
]
with pytest.raises(EquationError):
Equations(eqs)
# illegal variable names
with pytest.raises(SyntaxError):
Equations('ddt/dt = -dt / tau : volt')
with pytest.raises(SyntaxError):
Equations('dt/dt = -t / tau : volt')
with pytest.raises(SyntaxError):
Equations('dxi/dt = -xi / tau : volt')
with pytest.raises(SyntaxError):
Equations('for : volt')
with pytest.raises((EquationError, SyntaxError)):
Equations('d1a/dt = -1a / tau : volt')
with pytest.raises(SyntaxError):
Equations('d_x/dt = -_x / tau : volt')
# xi in a subexpression
with pytest.raises(EquationError):
Equations("""dv/dt = -(v + I) / (5 * ms) : volt
I = second**-1*xi**-2*volt : volt""")
# more than one xi
with pytest.raises(EquationError):
Equations("""dv/dt = -v / tau + xi/tau**.5 : volt
dx/dt = -x / tau + 2*xi/tau : volt
tau : second""")
# using not-allowed flags
eqs = Equations('dv/dt = -v / (5 * ms) : volt (flag)')
eqs.check_flags({DIFFERENTIAL_EQUATION: ['flag']}) # allow this flag
with pytest.raises(ValueError):
eqs.check_flags({DIFFERENTIAL_EQUATION: []})
with pytest.raises(ValueError):
eqs.check_flags({})
with pytest.raises(ValueError):
eqs.check_flags({SUBEXPRESSION: ['flag']})
with pytest.raises(ValueError):
eqs.check_flags({DIFFERENTIAL_EQUATION: ['otherflag']})
eqs = Equations('dv/dt = -v / (5 * ms) : volt (flag1, flag2)')
eqs.check_flags({DIFFERENTIAL_EQUATION: ['flag1',
'flag2']}) # allow both flags
# Don't allow the two flags in combination
with pytest.raises(ValueError):
eqs.check_flags({DIFFERENTIAL_EQUATION: ['flag1', 'flag2']},
incompatible_flags=[('flag1', 'flag2')])
eqs = Equations("""dv/dt = -v / (5 * ms) : volt (flag1)
dw/dt = -w / (5 * ms) : volt (flag2)""")
# They should be allowed when used independently
eqs.check_flags({DIFFERENTIAL_EQUATION: ['flag1', 'flag2']},
incompatible_flags=[('flag1', 'flag2')])
# Circular subexpression
with pytest.raises(ValueError):
Equations("""dv/dt = -(v + w) / (10 * ms) : 1
w = 2 * x : 1
x = 3 * w : 1""")
# Boolean/integer differential equations
with pytest.raises(TypeError):
Equations('dv/dt = -v / (10*ms) : boolean')
with pytest.raises(TypeError):
Equations('dv/dt = -v / (10*ms) : integer')
def test_split_stochastic():
tau = 5 * ms
expr = Expression('(-v + I) / tau')
# No stochastic part
assert expr.split_stochastic() == (expr, None)
# No non-stochastic part -- note that it should return 0 and not None
expr = Expression('sigma*xi/tau**.5')
non_stochastic, stochastic = expr.split_stochastic()
assert sympy_equals(non_stochastic.code, 0)
assert 'xi' in stochastic
assert len(stochastic) == 1
assert sympy_equals(stochastic['xi'].code, 'sigma/tau**.5')
expr = Expression('(-v + I) / tau + sigma*xi/tau**.5')
non_stochastic, stochastic = expr.split_stochastic()
assert 'xi' in stochastic
assert len(stochastic) == 1
assert sympy_equals(non_stochastic.code, '(-v + I) / tau')
assert sympy_equals(stochastic['xi'].code, 'sigma/tau**.5')
expr = Expression(
'(-v + I) / tau + sigma*xi_1/tau**.5 + xi_2*sigma2/sqrt(tau_2)')
non_stochastic, stochastic = expr.split_stochastic()
assert set(stochastic.keys()) == {'xi_1', 'xi_2'}
assert sympy_equals(non_stochastic.code, '(-v + I) / tau')
assert sympy_equals(stochastic['xi_1'].code, 'sigma/tau**.5')
assert sympy_equals(stochastic['xi_2'].code, 'sigma2/tau_2**.5')
expr = Expression('-v / tau + 1 / xi')
with pytest.raises(ValueError):
expr.split_stochastic()
def test_split_stochastic():
tau = 5 * ms
expr = Expression('(-v + I) / tau')
# No stochastic part
assert expr.split_stochastic() == (expr, None)
expr = Expression('(-v + I) / tau + sigma*xi/tau**.5')
non_stochastic, stochastic = expr.split_stochastic()
assert 'xi' in stochastic
assert len(stochastic) == 1
assert sympy_equals(non_stochastic.code, '(-v + I) / tau')
assert sympy_equals(stochastic['xi'].code, 'sigma/tau**.5')
expr = Expression('(-v + I) / tau + sigma*xi_1/tau**.5 + xi_2*sigma2/sqrt(tau_2)')
non_stochastic, stochastic = expr.split_stochastic()
assert set(stochastic.keys()) == {'xi_1', 'xi_2'}
assert sympy_equals(non_stochastic.code, '(-v + I) / tau')
assert sympy_equals(stochastic['xi_1'].code, 'sigma/tau**.5')
assert sympy_equals(stochastic['xi_2'].code, 'sigma2/tau_2**.5')
expr = Expression('-v / tau + 1 / xi')
assert_raises(ValueError, expr.split_stochastic)
