def test_ket(expect, ans, options=None):
'''
expect and ans are math expression strings which may include quantum-mechanics "ket"s.
Check for equality using random sampling via EvaluateWithKets.
options should be like samples="m_I,m_J,I_z,J_z@1,1,1,1:20,20,20,20#50"|tolerance=0.3
i.e. a sampling range for the equality testing, in the same
format as used in formularesponse.
'''
samples = None
tolerance = '0.1%'
acceptable_answers = [expect]
for optstr in options.split('!'):
if 'samples=' in optstr:
samples = eval(optstr.split('samples=')[1])
elif 'tolerance=' in optstr:
tolerance = eval(optstr.split('tolerance=')[1])
elif 'altanswer=' in optstr:
altanswer = eval(optstr.split('altanswer=')[1])
acceptable_answers.append(altanswer)
if samples is None:
return {'ok': False, 'msg': 'Oops, problem authoring error, samples=None'}
def cmpfun(a, b, tol):
return a.eq_with_tolerance(b, tol)
for acceptable in acceptable_answers:
try:
ok = is_formula_equal(acceptable, ans, samples, cs=True, tolerance=tolerance, evalfun=EvaluateWithKets, cmpfun=cmpfun)
except Exception as err:
return {'ok': False, 'msg': "Sorry, could not evaluate your expression. Error %s" % str(err)}
if ok:
return {'ok':ok, 'msg': ''}
return {'ok':ok, 'msg': ''}
def test_formula(expect, ans, options=None):
'''
expect and ans are math expression strings.
Check for equality using random sampling.
options should be like samples="m_I,m_J,I_z,J_z@1,1,1,1:20,20,20,20#50"!tolerance=0.3
i.e. a sampling range for the equality testing, in the same
format as used in formularesponse.
options may also include altanswer, an alternate acceptable answer. Example:
options="samples='X,Y,i@[1|2;3|4],[0|2;4|6],0+1j:[5|5;5|5],[8|8;8|8],0+1j#50'!altanswer='-Y*X'"
note that the different parts of the options string are to be spearated by a bang (!).
'''
samples = None
tolerance = '0.1%'
acceptable_answers = [expect]
for optstr in options.split('!'):
if 'samples=' in optstr:
samples = eval(optstr.split('samples=')[1])
elif 'tolerance=' in optstr:
tolerance = eval(optstr.split('tolerance=')[1])
elif 'altanswer=' in optstr:
altanswer = eval(optstr.split('altanswer=')[1])
acceptable_answers.append(altanswer)
if samples is None:
return {
'ok': False,
'msg': 'Oops, problem authoring error, samples=None'
}
# for debugging
# return {'ok': False, 'msg': 'altanswer=%s' % altanswer}
for acceptable in acceptable_answers:
try:
ok = is_formula_equal(acceptable,
ans,
samples,
cs=True,
tolerance=tolerance,
evalfun=matrix_evaluator)
except Exception as err:
return {
'ok':
False,
'msg':
"Sorry, could not evaluate your expression. Error %s" %
str(err)
}
if ok:
return {'ok': ok, 'msg': ''}
return {'ok': ok, 'msg': ''}
def test_formula(expect, ans, options=None):
'''
expect and ans are math expression strings.
Check for equality using random sampling.
options should be like samples="m_I,m_J,I_z,J_z@1,1,1,1:20,20,20,20#50"!tolerance=0.3
i.e. a sampling range for the equality testing, in the same
format as used in formularesponse.
options may also include altanswer, an alternate acceptable answer. Example:
options="samples='X,Y,i@[1|2;3|4],[0|2;4|6],0+1j:[5|5;5|5],[8|8;8|8],0+1j#50'!altanswer='-Y*X'"
note that the different parts of the options string are to be spearated by a bang (!).
'''
samples = None
tolerance = '0.1%'
acceptable_answers = [expect]
for optstr in options.split('!'):
if 'samples=' in optstr:
samples = eval(optstr.split('samples=')[1])
elif 'tolerance=' in optstr:
tolerance = eval(optstr.split('tolerance=')[1])
elif 'altanswer=' in optstr:
altanswer = eval(optstr.split('altanswer=')[1])
acceptable_answers.append(altanswer)
if samples is None:
return {'ok': False, 'msg': 'Oops, problem authoring error, samples=None'}
# for debugging
# return {'ok': False, 'msg': 'altanswer=%s' % altanswer}
for acceptable in acceptable_answers:
try:
ok = is_formula_equal(acceptable, ans, samples, cs=True, tolerance=tolerance, evalfun=matrix_evaluator)
except Exception as err:
return {'ok': False, 'msg': "Sorry, could not evaluate your expression. Error %s" % str(err)}
if ok:
return {'ok':ok, 'msg': ''}
return {'ok':ok, 'msg': ''}
