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TEST: Timer context manager from QE.py #383

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TEST: Timer context manager from QE.py #383

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19 changes: 8 additions & 11 deletions lectures/numba.md
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ In addition to what's in Anaconda, this lecture will need the following librarie
```{code-cell} ipython3
:tags: [hide-output]

!pip install quantecon
!pip install git+https://github.com/QuantEcon/QuantEcon.py@copilot/fix-782
```

Please also make sure that you have the latest version of Anaconda, since old
Expand Down Expand Up @@ -133,17 +133,15 @@ Let's time and compare identical function calls across these two versions, start
```{code-cell} ipython3
n = 10_000_000

qe.tic()
qm(0.1, int(n))
time1 = qe.toc()
with qe.Timer() as time1:
qm(0.1, int(n))
```

Now let's try qm_numba

```{code-cell} ipython3
qe.tic()
qm_numba(0.1, int(n))
time2 = qe.toc()
with qe.Timer() as time2:
qm_numba(0.1, int(n))
```

This is already a very large speed gain.
Expand All @@ -153,13 +151,12 @@ In fact, the next time and all subsequent times it runs even faster as the funct
(qm_numba_result)=

```{code-cell} ipython3
qe.tic()
qm_numba(0.1, int(n))
time3 = qe.toc()
with qe.Timer() as time3:
qm_numba(0.1, int(n))
```

```{code-cell} ipython3
time1 / time3 # Calculate speed gain
time1.elapsed / time3.elapsed # Calculate speed gain
```

This kind of speed gain is impressive relative to how simple and clear the modification is.
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