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

Update example in 5m guide WRT SSA type stability. #5669

Merged
merged 1 commit into from
May 5, 2020
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/source/user/5minguide.rst
Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ Numba works well on code that looks like this::

@jit(nopython=True) # Set "nopython" mode for best performance, equivalent to @njit
def go_fast(a): # Function is compiled to machine code when called the first time
trace = 0
trace = 0.0
for i in range(a.shape[0]): # Numba likes loops
trace += np.tanh(a[i, i]) # Numba likes NumPy functions
return a + trace # Numba likes NumPy broadcasting
Expand Down Expand Up @@ -130,7 +130,7 @@ For example::

@jit(nopython=True)
def go_fast(a): # Function is compiled and runs in machine code
trace = 0
trace = 0.0
for i in range(a.shape[0]):
trace += np.tanh(a[i, i])
return a + trace
Expand Down