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I write .sage files and then attach them in the interpreter (rather than using the notebook). Sometimes I want to have a section in .sage file consisting of pure python code (using for example the python module cvxopt), and of course this sometimes leads to type errors. I've tried including preparse(False) at the beginning of my code (as suggested here: http://www.sagemath.org/doc/faq/faq-usage.html#i-have-type-issues-using-scipy-cvxopt-or-numpy-from-sage) but in at least one case it returns the error AttributeError: 'bool' object has no attribute 'lstrip'.

I would very much appreciate a natural solution to this problem that doesn't involve changing anything in python (by decorating it with int,r, and so on).

Here is my code (which works just fine as pure python or works fine if I type preparser(False) in the sage interpreter and then cut and paste the code into the interpreter instead of typing attach('code.sage')).

import cvxopt as cvx from cvxopt import solvers

preparse(False)

c=cvx.matrix([1.,-1.,1.])

G=[cvx.matrix([[-7., -11., -11., 3.],[ 7., -18., -18., 8.],[-2., -8., -8., 1.]]) ]

G+=[cvx.matrix([[-21., -11., 0., -11., 10., 8., 0., 8., 5.],[ 0., 10., 16., 10., -10., -10., 16., -10., 3.],[ -5., 2., -17., 2., -6., 8., -17., 8., 6.]]) ]

h =[cvx.matrix([[33., -9.], [-9., 26.]]) ]

h+=[cvx.matrix([[14., 9., 40.], [9., 91., 10.], [40., 10., 15.]])]

sol = solvers.sdp(c, Gs=G, hs=h)

print(sol['x'])

The expected output is

 pcost       dcost       gap    pres   dres   k/t

0: -1.2037e+00 -1.8539e+02 2e+02 2e-16 8e+00 1e+00 1: -1.2937e+00 -6.8551e+00 5e+00 5e-16 3e-01 3e-02 2: -2.8964e+00 -3.7331e+00 7e-01 1e-15 4e-02 5e-02 3: -3.0150e+00 -3.2556e+00 2e-01 7e-16 1e-02 2e-02 4: -3.1389e+00 -3.1932e+00 5e-02 4e-16 3e-03 5e-03 5: -3.1533e+00 -3.1547e+00 1e-03 3e-16 7e-05 1e-04 6: -3.1535e+00 -3.1536e+00 5e-05 6e-16 3e-06 6e-06 7: -3.1535e+00 -3.1535e+00 1e-06 3e-16 7e-08 2e-07 Optimal solution found. [-3.68e-01] [ 1.90e+00] [-8.88e-01]

I write .sage files and then attach them in the interpreter (rather than using the notebook). Sometimes I want to have a section in .sage file consisting of pure python code (using for example the python module cvxopt), and of course this sometimes leads to type errors. I've tried including preparse(False) at the beginning of my code (as suggested here: http://www.sagemath.org/doc/faq/faq-usage.html#i-have-type-issues-using-scipy-cvxopt-or-numpy-from-sage) but in at least one case it returns the error AttributeError: 'bool' object has no attribute 'lstrip'.

I would very much appreciate a natural solution to this problem that doesn't involve changing anything in python (by decorating it with int,r, and so on).

Here is my code (which works just fine as pure python or works fine if I type preparser(False) in the sage interpreter and then cut and paste the code into the interpreter instead of typing attach('code.sage')).

import cvxopt as cvx from cvxopt import solvers

preparse(False)

c=cvx.matrix([1.,-1.,1.])

G=[cvx.matrix([[-7., -11., -11., 3.],[ 7., -18., -18., 8.],[-2., -8., -8., 1.]]) ]

G+=[cvx.matrix([[-21., -11., 0., -11., 10., 8., 0., 8., 5.],[ 0., 10., 16., 10., -10., -10., 16., -10., 3.],[ -5., 2., -17., 2., -6., 8., -17., 8., 6.]]) ]

h =[cvx.matrix([[33., -9.], [-9., 26.]]) ]

h+=[cvx.matrix([[14., 9., 40.], [9., 91., 10.], [40., 10., 15.]])]

sol = solvers.sdp(c, Gs=G, hs=h)

print(sol['x'])

The expected output is

 pcost       dcost       gap    pres   dres   k/t

0: -1.2037e+00 -1.8539e+02 2e+02 2e-16 8e+00 1e+00 1: -1.2937e+00 -6.8551e+00 5e+00 5e-16 3e-01 3e-02 2: -2.8964e+00 -3.7331e+00 7e-01 1e-15 4e-02 5e-02 3: -3.0150e+00 -3.2556e+00 2e-01 7e-16 1e-02 2e-02 4: -3.1389e+00 -3.1932e+00 5e-02 4e-16 3e-03 5e-03 5: -3.1533e+00 -3.1547e+00 1e-03 3e-16 7e-05 1e-04 6: -3.1535e+00 -3.1536e+00 5e-05 6e-16 3e-06 6e-06 7: -3.1535e+00 -3.1535e+00 1e-06 3e-16 7e-08 2e-07 Optimal solution found. [-3.68e-01] [ 1.90e+00] [-8.88e-01]

I write .sage files and then attach them in the interpreter (rather than using the notebook). Sometimes I want to have a section in .sage file consisting of pure python code (using for example the python module cvxopt), and of course this sometimes leads to type errors. I've tried including preparse(False) at the beginning of my code (as suggested here: http://www.sagemath.org/doc/faq/faq-usage.html#i-have-type-issues-using-scipy-cvxopt-or-numpy-from-sage) but in at least one case it returns the error AttributeError: 'bool' object has no attribute 'lstrip'.

I would very much appreciate a natural solution to this problem that doesn't involve changing anything in python (by decorating it with int,r, and so on).

Here is my code (which works just fine as pure python or works fine if I type preparser(False) in the sage interpreter and then cut and paste the code into the interpreter instead of typing attach('code.sage')).

import cvxopt as cvx from cvxopt import solvers

preparse(False)

c=cvx.matrix([1.,-1.,1.])

G=[cvx.matrix([[-7., -11., -11., 3.],[ 7., -18., -18., 8.],[-2., -8., -8., 1.]]) ]

G+=[cvx.matrix([[-21., -11., 0., -11., 10., 8., 0., 8., 5.],[ 0., 10., 16., 10., -10., -10., 16., -10., 3.],[ -5., 2., -17., 2., -6., 8., -17., 8., 6.]]) ]

h =[cvx.matrix([[33., -9.], [-9., 26.]]) ]

h+=[cvx.matrix([[14., 9., 40.], [9., 91., 10.], [40., 10., 15.]])]

sol = solvers.sdp(c, Gs=G, hs=h)

print(sol['x'])

The expected output is

 pcost       dcost       gap    pres   dres   k/t

0: -1.2037e+00 -1.8539e+02 2e+02 2e-16 8e+00 1e+00 1: -1.2937e+00 -6.8551e+00 5e+00 5e-16 3e-01 3e-02 2: -2.8964e+00 -3.7331e+00 7e-01 1e-15 4e-02 5e-02 3: -3.0150e+00 -3.2556e+00 2e-01 7e-16 1e-02 2e-02 4: -3.1389e+00 -3.1932e+00 5e-02 4e-16 3e-03 5e-03 5: -3.1533e+00 -3.1547e+00 1e-03 3e-16 7e-05 1e-04 6: -3.1535e+00 -3.1536e+00 5e-05 6e-16 3e-06 6e-06 7: -3.1535e+00 -3.1535e+00 1e-06 3e-16 7e-08 2e-07 Optimal solution found. [-3.68e-01] [ 1.90e+00] [-8.88e-01]

EDIT: tmonteil suggested changing preparse(False) to preparser(False). This works if I cut and paste the code into the interpreter but doesn't work if I attach the .sage file in the interpreter. See tmonteil's answer and my comment.

I write .sage files and then attach them in the interpreter (rather than using the notebook). Sometimes I want to have a section in .sage file consisting of pure python code (using for example the python module cvxopt), and of course this sometimes leads to type errors. I've tried including preparse(False) at the beginning of my code (as suggested here: http://www.sagemath.org/doc/faq/faq-usage.html#i-have-type-issues-using-scipy-cvxopt-or-numpy-from-sage) but in at least one case it returns the error AttributeError: 'bool' object has no attribute 'lstrip'.

I would very much appreciate a natural solution to this problem that doesn't involve changing anything in python (by decorating it with int,r, and so on).

Here is my code (which works just fine as pure python or works fine if I type preparser(False) in the sage interpreter and then cut and paste the code into the interpreter instead of typing attach('code.sage')).

import cvxopt as cvx from cvxopt import solvers

preparse(False)

c=cvx.matrix([1.,-1.,1.])

G=[cvx.matrix([[-7., -11., -11., 3.],[ 7., -18., -18., 8.],[-2., -8., -8., 1.]]) ]

G+=[cvx.matrix([[-21., -11., 0., -11., 10., 8., 0., 8., 5.],[ 0., 10., 16., 10., -10., -10., 16., -10., 3.],[ -5., 2., -17., 2., -6., 8., -17., 8., 6.]]) ]

h =[cvx.matrix([[33., -9.], [-9., 26.]]) ]

h+=[cvx.matrix([[14., 9., 40.], [9., 91., 10.], [40., 10., 15.]])]

sol = solvers.sdp(c, Gs=G, hs=h)

print(sol['x'])

The expected output is

 pcost       dcost       gap    pres   dres   k/t

0: -1.2037e+00 -1.8539e+02 2e+02 2e-16 8e+00 1e+00 1: -1.2937e+00 -6.8551e+00 5e+00 5e-16 3e-01 3e-02 2: -2.8964e+00 -3.7331e+00 7e-01 1e-15 4e-02 5e-02 3: -3.0150e+00 -3.2556e+00 2e-01 7e-16 1e-02 2e-02 4: -3.1389e+00 -3.1932e+00 5e-02 4e-16 3e-03 5e-03 5: -3.1533e+00 -3.1547e+00 1e-03 3e-16 7e-05 1e-04 6: -3.1535e+00 -3.1536e+00 5e-05 6e-16 3e-06 6e-06 7: -3.1535e+00 -3.1535e+00 1e-06 3e-16 7e-08 2e-07 Optimal solution found. [-3.68e-01] [ 1.90e+00] [-8.88e-01]

EDIT: tmonteil suggested changing preparse(False) to preparser(False). This works if I cut and paste the code into the interpreter but doesn't work if I attach the .sage file in the interpreter. See tmonteil's answer and my comment.

I write .sage files and then attach them in the interpreter (rather than using the notebook). Sometimes I want to have a section in .sage file consisting of pure python code (using for example the python module cvxopt), and of course this sometimes leads to type errors. I've tried including preparse(False) at the beginning of my code (as suggested here: http://www.sagemath.org/doc/faq/faq-usage.html#i-have-type-issues-using-scipy-cvxopt-or-numpy-from-sage) but in at least one case it returns the error AttributeError: 'bool' object has no attribute 'lstrip'.

I would very much appreciate a natural solution to this problem that doesn't involve changing anything in python (by decorating it with int,r, and so on).

Here is my code (which works just fine as pure python or works fine if I type preparser(False) in the sage interpreter and then cut and paste the code into the interpreter instead of typing attach('code.sage')).

import cvxopt as cvx from cvxopt import solvers

preparse(False)

c=cvx.matrix([1.,-1.,1.])

G=[cvx.matrix([[-7., -11., -11., 3.],[ 7., -18., -18., 8.],[-2., -8., -8., 1.]]) ]

G+=[cvx.matrix([[-21., -11., 0., -11., 10., 8., 0., 8., 5.],[ 0., 10., 16., 10., -10., -10., 16., -10., 3.],[ -5., 2., -17., 2., -6., 8., -17., 8., 6.]]) ]

h =[cvx.matrix([[33., -9.], [-9., 26.]]) ]

h+=[cvx.matrix([[14., 9., 40.], [9., 91., 10.], [40., 10., 15.]])]

sol = solvers.sdp(c, Gs=G, hs=h)

print(sol['x'])

The expected output is

 pcost       dcost       gap    pres   dres   k/t

0: -1.2037e+00 -1.8539e+02 2e+02 2e-16 8e+00 1e+00 1: -1.2937e+00 -6.8551e+00 5e+00 5e-16 3e-01 3e-02 2: -2.8964e+00 -3.7331e+00 7e-01 1e-15 4e-02 5e-02 3: -3.0150e+00 -3.2556e+00 2e-01 7e-16 1e-02 2e-02 4: -3.1389e+00 -3.1932e+00 5e-02 4e-16 3e-03 5e-03 5: -3.1533e+00 -3.1547e+00 1e-03 3e-16 7e-05 1e-04 6: -3.1535e+00 -3.1536e+00 5e-05 6e-16 3e-06 6e-06 7: -3.1535e+00 -3.1535e+00 1e-06 3e-16 7e-08 2e-07 Optimal solution found. [-3.68e-01] [ 1.90e+00] [-8.88e-01]

EDIT: tmonteil suggested changing preparse(False) to preparser(False). This works if I cut and paste the code into the interpreter but doesn't work if I attach the .sage file in the interpreter. See tmonteil's answer and my comment.

EDIT2: It also works in sage worksheet if I replace preparser(False) with %python (but I very much don't usually want to use the sage worksheet). Is this a bug, or am I doing something wrong?

I write .sage files and then attach them in the interpreter (rather than using the notebook). Sometimes I want to have a section in .sage file consisting of pure python code (using for example the python module cvxopt), and of course this sometimes leads to type errors. I've tried including preparse(False) at the beginning of my code (as suggested here: http://www.sagemath.org/doc/faq/faq-usage.html#i-have-type-issues-using-scipy-cvxopt-or-numpy-from-sage) but in at least one case it returns the error AttributeError: 'bool' object has no attribute 'lstrip'.

I would very much appreciate a natural solution to this problem that doesn't involve changing anything in python (by decorating it with int,r, and so on).

Here is my code (which works just fine as pure python or works fine if I type preparser(False) in the sage interpreter and then cut and paste the code into the interpreter instead of typing attach('code.sage')).

import cvxopt as cvx from cvxopt import solvers

preparse(False)

c=cvx.matrix([1.,-1.,1.])

G=[cvx.matrix([[-7., -11., -11., 3.],[ 7., -18., -18., 8.],[-2., -8., -8., 1.]]) ]

G+=[cvx.matrix([[-21., -11., 0., -11., 10., 8., 0., 8., 5.],[ 0., 10., 16., 10., -10., -10., 16., -10., 3.],[ -5., 2., -17., 2., -6., 8., -17., 8., 6.]]) ]

h =[cvx.matrix([[33., -9.], [-9., 26.]]) ]

h+=[cvx.matrix([[14., 9., 40.], [9., 91., 10.], [40., 10., 15.]])]

sol = solvers.sdp(c, Gs=G, hs=h)

print(sol['x'])

The expected output is

 pcost       dcost       gap    pres   dres   k/t

0: -1.2037e+00 -1.8539e+02 2e+02 2e-16 8e+00 1e+00 1: -1.2937e+00 -6.8551e+00 5e+00 5e-16 3e-01 3e-02 2: -2.8964e+00 -3.7331e+00 7e-01 1e-15 4e-02 5e-02 3: -3.0150e+00 -3.2556e+00 2e-01 7e-16 1e-02 2e-02 4: -3.1389e+00 -3.1932e+00 5e-02 4e-16 3e-03 5e-03 5: -3.1533e+00 -3.1547e+00 1e-03 3e-16 7e-05 1e-04 6: -3.1535e+00 -3.1536e+00 5e-05 6e-16 3e-06 6e-06 7: -3.1535e+00 -3.1535e+00 1e-06 3e-16 7e-08 2e-07 Optimal solution found. [-3.68e-01] [ 1.90e+00] [-8.88e-01]

EDIT: tmonteil suggested changing preparse(False) to preparser(False). This works if I cut and paste the code into the interpreter but doesn't work if I attach the .sage file in the interpreter. See tmonteil's answer and my comment.

EDIT2: It also works in sage worksheet if I replace preparser(False) with %python (but I very much don't want to use the sage worksheet). Is this a bug, or am I doing something wrong?

I write .sage files and then attach them in the interpreter (rather than using the notebook). Sometimes I want to have a section in .sage file consisting of pure python code (using for example the python module cvxopt), and of course this sometimes leads to type errors. I've tried including preparse(False) at the beginning of my code (as suggested here: http://www.sagemath.org/doc/faq/faq-usage.html#i-have-type-issues-using-scipy-cvxopt-or-numpy-from-sage) but in at least one case it returns the error AttributeError: 'bool' object has no attribute 'lstrip'.

I would very much appreciate a natural solution to this problem that doesn't involve changing anything in python (by decorating it with int,r, and so on).

Here is my code (which works just fine as pure python or works fine if I type preparser(False) in the sage interpreter and then cut and paste the code into the interpreter instead of typing attach('code.sage')).

import cvxopt as cvx from cvxopt import solvers

preparse(False)

c=cvx.matrix([1.,-1.,1.])

G=[cvx.matrix([[-7., -11., -11., 3.],[ 7., -18., -18., 8.],[-2., -8., -8., 1.]]) ]

G+=[cvx.matrix([[-21., -11., 0., -11., 10., 8., 0., 8., 5.],[ 0., 10., 16., 10., -10., -10., 16., -10., 3.],[ -5., 2., -17., 2., -6., 8., -17., 8., 6.]]) ]

h =[cvx.matrix([[33., -9.], [-9., 26.]]) ]

h+=[cvx.matrix([[14., 9., 40.], [9., 91., 10.], [40., 10., 15.]])]

sol = solvers.sdp(c, Gs=G, hs=h)

print(sol['x'])

The expected output is

 pcost       dcost       gap    pres   dres   k/t

0: -1.2037e+00 -1.8539e+02 2e+02 2e-16 8e+00 1e+00 1: -1.2937e+00 -6.8551e+00 5e+00 5e-16 3e-01 3e-02 2: -2.8964e+00 -3.7331e+00 7e-01 1e-15 4e-02 5e-02 3: -3.0150e+00 -3.2556e+00 2e-01 7e-16 1e-02 2e-02 4: -3.1389e+00 -3.1932e+00 5e-02 4e-16 3e-03 5e-03 5: -3.1533e+00 -3.1547e+00 1e-03 3e-16 7e-05 1e-04 6: -3.1535e+00 -3.1536e+00 5e-05 6e-16 3e-06 6e-06 7: -3.1535e+00 -3.1535e+00 1e-06 3e-16 7e-08 2e-07 Optimal solution found. [-3.68e-01] [ 1.90e+00] [-8.88e-01]

EDIT: tmonteil suggested changing preparse(False) to preparser(False). This works if I cut and paste the code into the interpreter but doesn't work if I attach the .sage file in the interpreter. See tmonteil's answer and my comment.

EDIT2: It also works in sage worksheet if I replace preparser(False) with %python (but I very much don't want to use the sage worksheet). Is this a bug, or am I doing something wrong?