def run_repl(self):
"""Run the REPL loop."""
color_output(intro)
load_namespace()
while True:
try:
val = prompt(
'Mini Matlab >> ',
lexer=MathematicaLexer,
history=self.hist,
completer=self.autocomplete(),
display_completions_in_columns=True,
mouse_support=True
)
if val == 'exit':
self.workspace()
break
elif val == 'help':
color_output(intro)
else:
parser = Parser(val)
parser.save_retrieve_args()
except (KeyboardInterrupt, SystemExit, EOFError):
self.workspace()
break
def workspace(self):
"""Save the workspace to file for next session loading."""
save_work = raw_input(
'Do you want to save your workspace? (yes|no) ')
if save_work == 'yes':
save_namespace()
color_output('Successfully saved your workspace. Goodbye.')
else:
color_output('GoodBye...')
def retrieve_args(self, tokens):
"""Format the tokens and save them to file."""
m = Matrix()
if len(tokens) == 1:
# variable call or display array / matrix
if tokens[0][0] == self.variable:
# variable call
value = m.find_variable(tokens[0][1])
if value:
value_mx = m.to_matrix(value)
if value_mx is not None:
color_output(value_mx)
else:
color_output('Input error.')
else:
color_output(
'Variable `{}` not defined.'.format(
str(tokens[0][1])))
elif tokens[0][0] == self.bounds:
# display array / list
mx = m.to_matrix(tokens[0][1])
if mx is not None:
color_output(mx)
else:
color_output('Input error')
elif tokens[0][0] == self.operator:
o = tokens[0][1]
if o.startswith('inv'):
r = re.compile('\(\w\)')
p = r.search(o).group()
v = re.compile('\w')
var = v.search(p).group()
val = m.find_variable(var)
if val is not None:
var_x = m.to_matrix(val)
if var_x is not None:
res = m.arith(('inverse', var_x, None))
if res is not None:
color_output(res)
else:
color_output('Wrong matrix format.')
else:
color_output('Input error.')
else:
color_output(
'Variable `{}` not defined.'.format(
str(tokens[0][1])))
else:
color_output('Wrong input...')
if len(tokens) == 2:
if tokens[0][0] == self.variable:
if tokens[1][0] != self.operator:
color_output('Wrong input...')
else:
if tokens[1][1] == '\'':
tr_value = m.find_variable(tokens[0][1])
if tr_value:
tr_value_mx = m.to_matrix(tr_value)
if tr_value_mx is not None:
tr = m.transpose(tr_value_mx)
color_output(str(tr))
else:
color_output('Input error.')
else:
color_output(
'Variable `{}` not defined.'.format(
str(tokens[0][1])))
else:
color_output('Wrong input...')
else:
color_output('Wrong input...')
if len(tokens) == 3:
if tokens[0][0] == self.variable:
if tokens[1][0] == self.assignment:
if tokens[2][0] == self.bounds:
input_var = tokens[0][1]
assign = tokens[2][1]
save_vars = (input_var, assign)
m.var_assigner(save_vars)
elif tokens[2][0] == self.variable:
assigner = tokens[0][1]
assignee = tokens[2][1]
assigner_val = m.find_variable(assigner)
if assigner_val:
m.var_assigner((assignee, assigner_val))
else:
color_output(
'Variable `{}` not defined.'.format(
str(assigner)))
elif tokens[1][0] == self.operator:
op = tokens[1][1]
op_var = m.find_variable(tokens[0][1])
if op_var is not None:
op_vars = m.to_matrix(op_var)
if tokens[2][0] == self.bounds:
op_bounds = m.to_matrix(tokens[2][1])
if op_bounds is not None:
op_res = m.arith((op_vars, op_bounds, op))
print op_res
if op_res is not None:
color_output(str(op_res))
else:
color_output(
'Operation not valid.')
else:
color_output('Input error.')
elif tokens[2][0] == self.variable:
val = m.find_variable(tokens[2][1])
if val is not None:
var_value = m.to_matrix(val)
op_results = m.arith(
(op_vars, var_value, op))
if op_results is not None:
color_output(str(op_results))
else:
color_output(
'Operation not valid.')
else:
color_output(
'Variable `{}` not defined.'.format(
tokens[2][1]))
else:
color_output(
'Variable `{}` not defined.'.format(
tokens[0][1]))
else:
color_output('Wrong input...')
elif tokens[0][0] == self.bounds:
if tokens[1][0] == self.operator:
if tokens[2][0] == self.self.bounds:
color_output('Perform operation on bounds.')
elif tokens[2][0] == self.variable:
color_output('Perform operation on variable.')
else:
color_output('Wrong input...')
if len(tokens) > 3:
color_output('Not implemented yet. WIP')
