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Port the numpy.md edits the resync regeneration dropped (seed docstring, qe.Timer) #38

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mmcky merged 2 commits into from
Aug 19, 2026
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Port the numpy.md edits the resync regeneration dropped (seed docstring, qe.Timer) #38

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94e7af8
Port the numpy.md edits from source #595 that the resync regeneration…
mmcky Aug 19, 2026
50b0ef2
Merge branch 'main' into fix/port-595-numpy-edits
mmcky Aug 19, 2026
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4 changes: 2 additions & 2 deletions .translate/state/numpy.md.yml
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
source-sha: a2b929f15e703b6942e8b80a29011c51f234b1e0
synced-at: "2026-07-14"
source-sha: d35eb831da23a763f43d403e96f20d43529cae53
synced-at: "2026-08-19"
model: claude-opus-4-8
mode: NEW
section-count: 8
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8 changes: 6 additions & 2 deletions lectures/numpy.md
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Expand Up @@ -1271,7 +1271,11 @@ class DiscreteRV:
def __init__(self, q, seed=None):
"""
The argument q is a NumPy array, or array like, nonnegative and sums
to 1
to 1.

The argument seed sets the seed for the underlying random number
generator; with the default seed=None, draws are not reproducible
across runs.
"""
self.q = q
self.Q = cumsum(q)
Expand Down Expand Up @@ -1446,7 +1450,7 @@ print(A)

**Partie 2** : Passez à la reproduction du résultat de l'opération de broadcasting suivante. Parallèlement, comparez les vitesses du broadcasting et de la boucle `for` que vous implémentez.

Pour cette partie de l'exercice, vous pouvez utiliser les fonctions `tic`/`toc` de la bibliothèque `quantecon` pour chronométrer l'exécution.
Pour cette partie de l'exercice, vous pouvez utiliser le gestionnaire de contexte `qe.Timer()` de la bibliothèque `quantecon` pour chronométrer l'exécution.

Assurons-nous que cette bibliothèque est installée.

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