Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix variables never used lgtm warnings in dle.py. #542

Merged
merged 2 commits into from
May 15, 2020
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 2 additions & 4 deletions quantecon/dle.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
"""
Provides a class called DLE to convert and solve dynamic linear economics
Provides a class called DLE to convert and solve dynamic linear economies
(as set out in Hansen & Sargent (2013)) as LQ problems.
"""

Expand Down Expand Up @@ -69,15 +69,14 @@ def __init__(self, information, technology, preferences):
self.nb, self.nh = self.llambda.shape
self.nd, self.nc = self.phic.shape
self.nz, self.nw = self.c2.shape
junk, self.ng = self.phig.shape
_, self.ng = self.phig.shape
self.nk, self.ni = self.thetak.shape

# === Creation of various useful matrices === #
uc = np.hstack((np.eye(self.nc), np.zeros((self.nc, self.ng))))
ug = np.hstack((np.zeros((self.ng, self.nc)), np.eye(self.ng)))
phiin = np.linalg.inv(np.hstack((self.phic, self.phig)))
phiinc = uc.dot(phiin)
phiing = ug.dot(phiin)
b11 = - self.thetah.dot(phiinc).dot(self.phii)
a1 = self.thetah.dot(phiinc).dot(self.gamma)
a12 = np.vstack((self.thetah.dot(phiinc).dot(
Expand Down Expand Up @@ -306,7 +305,6 @@ def canonical(self):
Ac2 = np.hstack((np.zeros((self.nz, self.nh)), self.a22))
Ac = np.vstack((Ac1, Ac2))
Bc = np.vstack((self.thetah, np.zeros((self.nz, self.nc))))
Cc = np.vstack((np.zeros((self.nh, self.nw)), self.c2))
Rc1 = np.hstack((self.llambda.T.dot(self.llambda), -
self.llambda.T.dot(self.ub)))
Rc2 = np.hstack((-self.ub.T.dot(self.llambda), self.ub.T.dot(self.ub)))
Expand Down