From 604fd7533d36322d310d560b9de46d215046ecd0 Mon Sep 17 00:00:00 2001
From: Amir MOHAMMADI <amir.mohammadi@idiap.ch>
Date: Mon, 4 Apr 2022 14:46:54 +0200
Subject: [PATCH] [pre-commit] autoupdate
---
.pre-commit-config.yaml | 6 +++---
bob/learn/em/gmm.py | 11 ++++-------
bob/learn/em/kmeans.py | 2 +-
doc/conf.py | 10 +++++-----
4 files changed, 13 insertions(+), 16 deletions(-)
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 1515754..1daa230 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -2,12 +2,12 @@
# See https://pre-commit.com/hooks.html for more hooks
repos:
- repo: https://github.com/timothycrosley/isort
- rev: 5.9.3
+ rev: 5.10.1
hooks:
- id: isort
args: [--settings-path, "pyproject.toml"]
- repo: https://github.com/psf/black
- rev: 21.7b0
+ rev: 22.3.0
hooks:
- id: black
- repo: https://gitlab.com/pycqa/flake8
@@ -15,7 +15,7 @@ repos:
hooks:
- id: flake8
- repo: https://github.com/pre-commit/pre-commit-hooks
- rev: v4.0.1
+ rev: v4.1.0
hooks:
- id: check-ast
- id: check-case-conflict
diff --git a/bob/learn/em/gmm.py b/bob/learn/em/gmm.py
index 07c807e..2d5b0b9 100644
--- a/bob/learn/em/gmm.py
+++ b/bob/learn/em/gmm.py
@@ -962,13 +962,10 @@ def map_gmm_m_step(
# n_threshold[statistics.n > mean_var_update_threshold] = statistics.n[
# statistics.n > mean_var_update_threshold
# ]
- new_means = (
- np.multiply(
- alpha[:, None],
- (statistics.sum_px / n_threshold[:, None]),
- )
- + np.multiply((1 - alpha[:, None]), machine.ubm.means)
- )
+ new_means = np.multiply(
+ alpha[:, None],
+ (statistics.sum_px / n_threshold[:, None]),
+ ) + np.multiply((1 - alpha[:, None]), machine.ubm.means)
machine.means = np.where(
statistics.n[:, None] < mean_var_update_threshold,
machine.ubm.means,
diff --git a/bob/learn/em/kmeans.py b/bob/learn/em/kmeans.py
index c1b7153..8a17af3 100644
--- a/bob/learn/em/kmeans.py
+++ b/bob/learn/em/kmeans.py
@@ -166,7 +166,7 @@ def reduce_indices_means_vars(stats):
weights_count = np.bincount(closest_centroid_indices, minlength=n_clusters)
weights = weights_count / weights_count.sum()
means = means_sum / weights_count[:, None]
- variances = (variances_sum / weights_count[:, None]) - (means ** 2)
+ variances = (variances_sum / weights_count[:, None]) - (means**2)
return variances, weights
diff --git a/doc/conf.py b/doc/conf.py
index dd19c99..5996403 100755
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -73,10 +73,10 @@ source_suffix = ".rst"
master_doc = "index"
# General information about the project.
-project = u"bob.learn.em"
+project = "bob.learn.em"
import time
-copyright = u"%s, Idiap Research Institute" % time.strftime("%Y")
+copyright = "%s, Idiap Research Institute" % time.strftime("%Y")
# Grab the setup entry
distribution = pkg_resources.require(project)[0]
@@ -126,8 +126,8 @@ pygments_style = "sphinx"
# Some variables which are useful for generated material
project_variable = project.replace(".", "_")
-short_description = u"Core utilities required on all Bob modules"
-owner = [u"Idiap Research Institute"]
+short_description = "Core utilities required on all Bob modules"
+owner = ["Idiap Research Institute"]
# -- Options for HTML output ---------------------------------------------------
@@ -209,7 +209,7 @@ html_favicon = "img/favicon.ico"
# html_file_suffix = None
# Output file base name for HTML help builder.
-htmlhelp_basename = project_variable + u"_doc"
+htmlhelp_basename = project_variable + "_doc"
# -- Post configuration --------------------------------------------------------
--
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