def p_foo_stmt(p):
"foo_stmt : expr OROR expr SEMI"
expr1 = p[1][1][0]
expr2 = p[3][1][0]
ident = expr1.ret
args1 = expr1.args
args2 = expr2.args
p[0] = node.let(ret=ident,
args=node.expr("or",node.expr_list([args1,args2])))
def p_foo_stmt(p):
"foo_stmt : expr OROR expr SEMI"
expr1 = p[1][1][0]
expr2 = p[3][1][0]
ident = expr1.ret
args1 = expr1.args
args2 = expr2.args
p[0] = node.let(ret=ident,
args=node.expr("or", node.expr_list([args1, args2])))
def p_expr2(p):
"""expr2 : expr AND expr
| expr ANDAND expr
| expr BACKSLASH expr
| expr COLON expr
| expr DIV expr
| expr DOT expr
| expr DOTDIV expr
| expr DOTDIVEQ expr
| expr DOTEXP expr
| expr DOTMUL expr
| expr DOTMULEQ expr
| expr EQEQ expr
| expr EXP expr
| expr EXPEQ expr
| expr GE expr
| expr GT expr
| expr LE expr
| expr LT expr
| expr MINUS expr
| expr MUL expr
| expr NE expr
| expr OR expr
| expr OROR expr
| expr PLUS expr
| expr EQ expr
| expr MULEQ expr
| expr DIVEQ expr
| expr MINUSEQ expr
| expr PLUSEQ expr
| expr OREQ expr
| expr ANDEQ expr
"""
if p[2] == "=":
if p[1].__class__ is node.let:
raise NotImplementedError("assignment "
"as expression")
# The algorithm, which decides if an
# expression F(X)
# is arrayref or funcall, is implemented in
# resolve.py, except the following lines up
# to XXX. These lines handle the case where
# an undefined array is updated:
# >>> clear a
# >>> a[1:10]=123
# Though legal in matlab, these lines
# confuse the algorithm, which thinks that
# the undefined variable is a function name.
# To prevent the confusion, we mark these
# nodes arrayref as early as during the parse
# phase.
if p[1].__class__ is node.funcall:
# A(B) = C
p[1].__class__ = node.arrayref
elif p[1].__class__ is node.matrix:
# [A1(B1) A2(B2) ...] = C
for e in p[1].args:
if e.__class__ is node.funcall:
e.__class__ = node.arrayref
# XXX
if isinstance(p[1],node.getfield):
#import pdb;pdb.set_trace()
# A.B=C setfield(A,B,C)
p[0] = node.setfield(p[1].args[0],
p[1].args[1],
p[3])
else:
#assert len(p[1].args) > 0
ret = p[1].args if isinstance(p[1],node.matrix) else p[1]
p[0] = node.let(ret=ret,
args=p[3],
lineno=p.lineno(2),
lexpos=p.lexpos(2))
if isinstance(p[1],node.matrix):
# TBD: mark idents as "P" - persistent
if p[3].__class__ not in (node.ident,node.funcall): #, p[3].__class__
raise NotImplementedError("multi-assignment %d" % p[0].lineno)
if p[3].__class__ is node.ident:
# [A1(B1) A2(B2) ...] = F implied F()
# import pdb; pdb.set_trace()
p[3] = node.funcall(func_expr=p[3],
args=node.expr_list())
# [A1(B1) A2(B2) ...] = F(X)
p[3].nargout = len(p[1].args[0])
elif p[2] == ".*":
p[0] = node.dot(p[1],p[3])
elif p[2] == ":" and isinstance(p[1],node.expr) and p[1].op==":":
# Colon expression means different things depending on the
# context. As an array subscript, it is a slice; otherwise,
# it is a call to the "range" function, and the parser can't
# tell which is which. So understanding of colon expressions
# is put off until after "resolve".
p[0] = p[1]
p[0].args.insert(1,p[3])
else:
p[0] = node.expr(op=p[2],args=node.expr_list([p[1],p[3]]))
def p_expr2(p):
"""expr2 : expr AND expr
| expr ANDAND expr
| expr BACKSLASH expr
| expr COLON expr
| expr DIV expr
| expr DOT expr
| expr DOTDIV expr
| expr DOTDIVEQ expr
| expr DOTEXP expr
| expr DOTMUL expr
| expr DOTMULEQ expr
| expr EQEQ expr
| expr EXP expr
| expr EXPEQ expr
| expr GE expr
| expr GT expr
| expr LE expr
| expr LT expr
| expr MINUS expr
| expr MUL expr
| expr NE expr
| expr OR expr
| expr OROR expr
| expr PLUS expr
| expr EQ expr
| expr MULEQ expr
| expr DIVEQ expr
| expr MINUSEQ expr
| expr PLUSEQ expr
| expr OREQ expr
| expr ANDEQ expr
"""
if p[2] == "=":
if p[1].__class__ is node.let:
raise NotImplementedError("assignment " "as expression")
# The algorithm, which decides if an
# expression F(X)
# is arrayref or funcall, is implemented in
# resolve.py, except the following lines up
# to XXX. These lines handle the case where
# an undefined array is updated:
# >>> clear a
# >>> a[1:10]=123
# Though legal in matlab, these lines
# confuse the algorithm, which thinks that
# the undefined variable is a function name.
# To prevent the confusion, we mark these
# nodes arrayref as early as during the parse
# phase.
if p[1].__class__ is node.funcall:
# A(B) = C
p[1].__class__ = node.arrayref
elif p[1].__class__ is node.matrix:
# [A1(B1) A2(B2) ...] = C
for e in p[1].args:
if e.__class__ is node.funcall:
e.__class__ = node.arrayref
# XXX
if isinstance(p[1], node.getfield):
#import pdb;pdb.set_trace()
# A.B=C setfield(A,B,C)
p[0] = node.setfield(p[1].args[0], p[1].args[1], p[3])
else:
#assert len(p[1].args) > 0
ret = p[1].args if isinstance(p[1], node.matrix) else p[1]
p[0] = node.let(ret=ret,
args=p[3],
lineno=p.lineno(2),
lexpos=p.lexpos(2))
if isinstance(p[1], node.matrix):
# TBD: mark idents as "P" - persistent
if p[3].__class__ not in (node.ident,
node.funcall): #, p[3].__class__
raise NotImplementedError("multi-assignment %d" %
p[0].lineno)
if p[3].__class__ is node.ident:
# [A1(B1) A2(B2) ...] = F implied F()
# import pdb; pdb.set_trace()
p[3] = node.funcall(func_expr=p[3], args=node.expr_list())
# [A1(B1) A2(B2) ...] = F(X)
p[3].nargout = len(p[1].args[0])
elif p[2] == ".*":
p[0] = node.dot(p[1], p[3])
elif p[2] == ":" and isinstance(p[1], node.expr) and p[1].op == ":":
# Colon expression means different things depending on the
# context. As an array subscript, it is a slice; otherwise,
# it is a call to the "range" function, and the parser can't
# tell which is which. So understanding of colon expressions
# is put off until after "resolve".
p[0] = p[1]
p[0].args.insert(1, p[3])
else:
p[0] = node.expr(op=p[2], args=node.expr_list([p[1], p[3]]))