From 1ff5c5392551b34ea1a62936ff6fb9c8442bc16a Mon Sep 17 00:00:00 2001
From: Ulrich <ulrich.kerzel@rwth-aachen.de>
Date: Tue, 13 Dec 2022 17:37:50 +0100
Subject: [PATCH] CPU profiling
---
area.py | 23 +++
poetry.lock | 184 ++++++++++++++++++-
pyproject.toml | 2 +
pythonintro/Functions.ipynb | 4 +-
pythonintro/PythonSpeed.ipynb | 62 ++++++-
pythonintro/solutions/Solutions_Python.ipynb | 4 +-
6 files changed, 264 insertions(+), 15 deletions(-)
create mode 100644 area.py
diff --git a/area.py b/area.py
new file mode 100644
index 0000000..b36a3d2
--- /dev/null
+++ b/area.py
@@ -0,0 +1,23 @@
+import numpy as np
+
+def area_circle(radius = 2, n_points = 500000):
+ in_circle = 0
+
+ for i in range(0, n_points):
+ x = np.random.uniform(-radius, radius)
+ y = np.random.uniform(-radius, radius)
+ if x**2 + y**2 < radius**2:
+ in_circle += 1
+
+ area = (2*radius)**2 * in_circle/n_points
+ return area
+
+
+if __name__ == '__main__':
+ n_points = 50000
+ radius = 2
+ area = area_circle(radius, n_points)
+ expected_area = np.pi*radius**2
+ print('The area of the circle is {}, expected result {}, difference: {}'.format(area, expected_area, np.abs(area - expected_area)))
+
+
diff --git a/poetry.lock b/poetry.lock
index 878f17f..e1c8e3b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -80,7 +80,7 @@ python-versions = ">=3.5"
dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
-tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
[[package]]
name = "Babel"
@@ -160,7 +160,15 @@ optional = false
python-versions = ">=3.6.0"
[package.extras]
-unicode_backport = ["unicodedata2"]
+unicode-backport = ["unicodedata2"]
+
+[[package]]
+name = "cloudpickle"
+version = "2.2.0"
+description = "Extended pickling support for Python objects"
+category = "main"
+optional = false
+python-versions = ">=3.6"
[[package]]
name = "colorama"
@@ -170,6 +178,17 @@ category = "dev"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+[[package]]
+name = "commonmark"
+version = "0.9.1"
+description = "Python parser for the CommonMark Markdown spec"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.extras]
+test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
+
[[package]]
name = "contourpy"
version = "1.0.6"
@@ -338,7 +357,7 @@ notebook = ["ipywidgets", "notebook"]
parallel = ["ipyparallel"]
qtconsole = ["qtconsole"]
test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test_extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
[[package]]
name = "ipython_genutils"
@@ -367,7 +386,7 @@ testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"]
name = "Jinja2"
version = "3.1.2"
description = "A very fast and expressive template engine."
-category = "dev"
+category = "main"
optional = false
python-versions = ">=3.7"
@@ -539,6 +558,24 @@ category = "main"
optional = false
python-versions = ">=3.7"
+[[package]]
+name = "line-profiler"
+version = "4.0.2"
+description = "Line-by-line profiler"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.extras]
+all = ["Cython", "IPython", "IPython", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cmake", "coverage[toml]", "ninja", "pytest", "pytest-cov", "scikit-build", "ubelt"]
+all-strict = ["Cython (==3.0.0a11)", "IPython (==0.13)", "IPython (==0.13)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.8.1)", "cmake (==3.21.2)", "coverage[toml] (==5.3)", "ninja (==1.10.2)", "pytest (==4.6.11)", "pytest-cov (==2.10.1)", "scikit-build (==0.11.1)", "ubelt (==1.0.1)"]
+build = ["Cython", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cibuildwheel", "cmake", "ninja", "scikit-build"]
+build-strict = ["Cython (==3.0.0a11)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.11.2)", "cibuildwheel (==2.8.1)", "cmake (==3.21.2)", "ninja (==1.10.2)", "scikit-build (==0.11.1)"]
+ipython = ["IPython", "IPython"]
+ipython-strict = ["IPython (==0.13)", "IPython (==0.13)"]
+tests = ["IPython", "IPython", "coverage[toml]", "pytest", "pytest-cov", "ubelt"]
+tests-strict = ["IPython (==0.13)", "IPython (==0.13)", "coverage[toml] (==5.3)", "pytest (==4.6.11)", "pytest-cov (==2.10.1)", "ubelt (==1.0.1)"]
+
[[package]]
name = "llvmlite"
version = "0.39.1"
@@ -551,7 +588,7 @@ python-versions = ">=3.7"
name = "MarkupSafe"
version = "2.1.1"
description = "Safely add untrusted strings to HTML/XML markup."
-category = "dev"
+category = "main"
optional = false
python-versions = ">=3.7"
@@ -919,13 +956,21 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
name = "Pygments"
version = "2.13.0"
description = "Pygments is a syntax highlighting package written in Python."
-category = "dev"
+category = "main"
optional = false
python-versions = ">=3.6"
[package.extras]
plugins = ["importlib-metadata"]
+[[package]]
+name = "pynvml"
+version = "11.4.1"
+description = "Python Bindings for the NVIDIA Management Library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
[[package]]
name = "pyparsing"
version = "3.0.9"
@@ -1008,7 +1053,37 @@ urllib3 = ">=1.21.1,<1.27"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
-use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+
+[[package]]
+name = "rich"
+version = "12.6.0"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+category = "main"
+optional = false
+python-versions = ">=3.6.3,<4.0.0"
+
+[package.dependencies]
+commonmark = ">=0.9.0,<0.10.0"
+pygments = ">=2.6.0,<3.0.0"
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<8.0.0)"]
+
+[[package]]
+name = "scalene"
+version = "1.5.16"
+description = "Scalene: A high-resolution, low-overhead CPU, GPU, and memory profiler for Python"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+cloudpickle = ">=1.5.0"
+Jinja2 = ">=3.0.3"
+pynvml = ">=11.0.0"
+rich = ">=10.7.0"
+wheel = ">=0.36.1"
[[package]]
name = "scikit-learn"
@@ -1266,10 +1341,21 @@ docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
optional = ["python-socks", "wsaccel"]
test = ["websockets"]
+[[package]]
+name = "wheel"
+version = "0.38.4"
+description = "A built-package format for Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+test = ["pytest (>=3.0.0)"]
+
[metadata]
lock-version = "1.1"
python-versions = "^3.10"
-content-hash = "b8c75fa740cec38d32137ea08dcc6352e891b7780ba3bb654e8927f922e4c2be"
+content-hash = "f5c90f2e4f83956319a3966021512c363d714b815c784958e1e298f2e680f1f1"
[metadata.files]
anyio = [
@@ -1405,10 +1491,18 @@ charset-normalizer = [
{file = "charset-normalizer-2.1.1.tar.gz", hash = "sha256:5a3d016c7c547f69d6f81fb0db9449ce888b418b5b9952cc5e6e66843e9dd845"},
{file = "charset_normalizer-2.1.1-py3-none-any.whl", hash = "sha256:83e9a75d1911279afd89352c68b45348559d1fc0506b054b346651b5e7fee29f"},
]
+cloudpickle = [
+ {file = "cloudpickle-2.2.0-py3-none-any.whl", hash = "sha256:7428798d5926d8fcbfd092d18d01a2a03daf8237d8fcdc8095d256b8490796f0"},
+ {file = "cloudpickle-2.2.0.tar.gz", hash = "sha256:3f4219469c55453cfe4737e564b67c2a149109dabf7f242478948b895f61106f"},
+]
colorama = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
+commonmark = [
+ {file = "commonmark-0.9.1-py2.py3-none-any.whl", hash = "sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9"},
+ {file = "commonmark-0.9.1.tar.gz", hash = "sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60"},
+]
contourpy = [
{file = "contourpy-1.0.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:613c665529899b5d9fade7e5d1760111a0b011231277a0d36c49f0d3d6914bd6"},
{file = "contourpy-1.0.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:78ced51807ccb2f45d4ea73aca339756d75d021069604c2fccd05390dc3c28eb"},
@@ -1658,6 +1752,51 @@ kiwisolver = [
{file = "kiwisolver-1.4.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36dafec3d6d6088d34e2de6b85f9d8e2324eb734162fba59d2ba9ed7a2043d5b"},
{file = "kiwisolver-1.4.4.tar.gz", hash = "sha256:d41997519fcba4a1e46eb4a2fe31bc12f0ff957b2b81bac28db24744f333e955"},
]
+line-profiler = [
+ {file = "line_profiler-4.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de5f977c6387e1a9799fdb09e62707e28d9e7be2911ac1fa8132e19dbf2e4ac"},
+ {file = "line_profiler-4.0.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:967a31032dbc7345b936fc516de59ab92b43913bf9a3a81b4888329f16665222"},
+ {file = "line_profiler-4.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ba3d088b17a9c902e95c0cb23017f1df1356e33e5b01a4f65c2cba710b78c17"},
+ {file = "line_profiler-4.0.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5978f48e47328df82d5f3959ba03b1d099c927d4c4bd1ea65bcdd7960af506d6"},
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+ {file = "line_profiler-4.0.2.tar.gz", hash = "sha256:25e8c9d4248dc48905801851ff8a75b9c74827a0871d118d1104d8e43d7fb0fc"},
+]
llvmlite = [
{file = "llvmlite-0.39.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6717c7a6e93c9d2c3d07c07113ec80ae24af45cde536b34363d4bcd9188091d9"},
{file = "llvmlite-0.39.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ddab526c5a2c4ccb8c9ec4821fcea7606933dc53f510e2a6eebb45a418d3488a"},
@@ -2047,6 +2186,10 @@ Pygments = [
{file = "Pygments-2.13.0-py3-none-any.whl", hash = "sha256:f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42"},
{file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
]
+pynvml = [
+ {file = "pynvml-11.4.1-py3-none-any.whl", hash = "sha256:d27be542cd9d06558de18e2deffc8022ccd7355bc7382255d477038e7e424c6c"},
+ {file = "pynvml-11.4.1.tar.gz", hash = "sha256:b2e4a33b80569d093b513f5804db0c7f40cfc86f15a013ae7a8e99c5e175d5dd"},
+]
pyparsing = [
{file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
{file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"},
@@ -2187,6 +2330,27 @@ requests = [
{file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
{file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
]
+rich = [
+ {file = "rich-12.6.0-py3-none-any.whl", hash = "sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e"},
+ {file = "rich-12.6.0.tar.gz", hash = "sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0"},
+]
+scalene = [
+ {file = "scalene-1.5.16-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:89df6f28dce1170e6875ebae5424dc928edb281a9d1f080e60ed67932d5fc099"},
+ {file = "scalene-1.5.16-cp310-cp310-manylinux_2_24_x86_64.whl", hash = "sha256:cf64e179c2d24639f158d89f978d5d7bedc524f423683fd5d915c3b1274b3a74"},
+ {file = "scalene-1.5.16-cp310-cp310-win_amd64.whl", hash = "sha256:04c89dc567735454cf6d415287c19d9458a0ac7204f8af75670fa8d03a5a61a1"},
+ {file = "scalene-1.5.16-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f1adb93a00b1ecdef4e1bfcfedf5453b74b5f7ece1637cb6180321e8b4132486"},
+ {file = "scalene-1.5.16-cp311-cp311-manylinux_2_24_x86_64.whl", hash = "sha256:bab76332f3d2c93336570b40cd6a414ee6bc5027a67ea6e6fea88533d884d377"},
+ {file = "scalene-1.5.16-cp311-cp311-win_amd64.whl", hash = "sha256:c8d611620278df7b6793f40ee41aadc83e72347ca048e1caed76d3446a1c31ff"},
+ {file = "scalene-1.5.16-cp37-cp37m-macosx_10_15_universal2.whl", hash = "sha256:9d8ae9ed42af29324b09bcf4769668ec3de1da1a0e07bdd4dbe590f8667bc24a"},
+ {file = "scalene-1.5.16-cp37-cp37m-manylinux_2_24_x86_64.whl", hash = "sha256:6cd734c96074536e646cc020920dfb5e3075a0b6610f09ab44dd8e381c2176ee"},
+ {file = "scalene-1.5.16-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:4c6940fc281a479449f126fc0e7003ad1fd903cc5009a93ca69041a0170d397f"},
+ {file = "scalene-1.5.16-cp38-cp38-manylinux_2_24_x86_64.whl", hash = "sha256:2a5da3756ada283b494a1b66b08297905531e1450f2143cdc58a222a257908d4"},
+ {file = "scalene-1.5.16-cp38-cp38-win_amd64.whl", hash = "sha256:b6467288c43e65333063bd522c83486a4895869a101a94d0b13a58effa456611"},
+ {file = "scalene-1.5.16-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:ff7a2e9587ef2d268c81f2684b458a29c1d591f1225c13f7954e0d5d655abfdd"},
+ {file = "scalene-1.5.16-cp39-cp39-manylinux_2_24_x86_64.whl", hash = "sha256:4b8da9edba2400a6ce1a8daada03fd9f310963a4c04f59d3e7c520e0103a3a9b"},
+ {file = "scalene-1.5.16-cp39-cp39-win_amd64.whl", hash = "sha256:bc0bd7f9111c8a66f9b83fc362f8e610693181e9de28bdc42efc3a249db588e2"},
+ {file = "scalene-1.5.16.tar.gz", hash = "sha256:2b09aa9b3c5e59c87a08db38771cb75fc0b4c504e93b4be2203f01177ca054b0"},
+]
scikit-learn = [
{file = "scikit-learn-1.1.3.tar.gz", hash = "sha256:bef51978a51ec19977700fe7b86aecea49c825884f3811756b74a3b152bb4e35"},
{file = "scikit_learn-1.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8e9dd76c7274055d1acf4526b8efb16a3531c26dcda714a0c16da99bf9d41900"},
@@ -2318,3 +2482,7 @@ websocket-client = [
{file = "websocket-client-1.4.1.tar.gz", hash = "sha256:f9611eb65c8241a67fb373bef040b3cf8ad377a9f6546a12b620b6511e8ea9ef"},
{file = "websocket_client-1.4.1-py3-none-any.whl", hash = "sha256:398909eb7e261f44b8f4bd474785b6ec5f5b499d4953342fe9755e01ef624090"},
]
+wheel = [
+ {file = "wheel-0.38.4-py3-none-any.whl", hash = "sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8"},
+ {file = "wheel-0.38.4.tar.gz", hash = "sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac"},
+]
diff --git a/pyproject.toml b/pyproject.toml
index 37b8615..8630dfe 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,6 +11,8 @@ numpy = "^1.23.4"
seaborn = "^0.12.1"
scikit-learn = "^1.1.3"
numba = "^0.56.4"
+line-profiler = "^4.0.2"
+scalene = "^1.5.16"
[tool.poetry.group.dev.dependencies]
diff --git a/pythonintro/Functions.ipynb b/pythonintro/Functions.ipynb
index 0fcba66..bb3e08a 100644
--- a/pythonintro/Functions.ipynb
+++ b/pythonintro/Functions.ipynb
@@ -471,7 +471,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3.10.6 ('pythonintro-hKmMjISb-py3.10')",
+ "display_name": "Python 3.10.6 ('pythonintro-NlsZwE_T-py3.10')",
"language": "python",
"name": "python3"
},
@@ -490,7 +490,7 @@
"orig_nbformat": 4,
"vscode": {
"interpreter": {
- "hash": "8eb59338b0c14423ef4b72291999b63587c3ee4bd1b8d960807ae48fbf6679f5"
+ "hash": "e79a103ddccd343bb7d1be701b671c098efc420295b660c764763b93be962cdf"
}
}
},
diff --git a/pythonintro/PythonSpeed.ipynb b/pythonintro/PythonSpeed.ipynb
index 4f9240f..4ee52b5 100644
--- a/pythonintro/PythonSpeed.ipynb
+++ b/pythonintro/PythonSpeed.ipynb
@@ -21,7 +21,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -30,8 +30,13 @@
"import matplotlib.pyplot as plt\n",
"import matplotlib as mpl\n",
"import seaborn as sns\n",
+ "\n",
+ "# \"compiled python\"\n",
"import numba\n",
- "from numba import jit"
+ "from numba import jit\n",
+ "\n",
+ "# profiler to measure execution speed in more detail\n",
+ "%load_ext line_profiler"
]
},
{
@@ -116,7 +121,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -157,6 +162,57 @@
"print('The area of the circle is {}, expected result {}, difference: {}'.format(area, expected_area, np.abs(area - expected_area)))"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can run the ```line_profiler``` to get a more detailed view where the program spends most of the time."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Timer unit: 1e-09 s\n",
+ "\n",
+ "Total time: 1.4412 s\n",
+ "File: /tmp/ipykernel_974/3957699394.py\n",
+ "Function: area_circle at line 1\n",
+ "\n",
+ "Line # Hits Time Per Hit % Time Line Contents\n",
+ "==============================================================\n",
+ " 1 def area_circle(radius = 2, n_points = 500000):\n",
+ " 2 1 997.0 997.0 0.0 in_circle = 0\n",
+ " 3 \n",
+ " 4 500000 54985724.0 110.0 3.8 for i in range(0, n_points):\n",
+ " 5 500000 587101233.0 1174.2 40.7 x = np.random.uniform(-radius, radius)\n",
+ " 6 500000 568074290.0 1136.1 39.4 y = np.random.uniform(-radius, radius)\n",
+ " 7 392630 171245431.0 436.1 11.9 if x**2 + y**2 < radius**2:\n",
+ " 8 392630 59790059.0 152.3 4.1 in_circle += 1\n",
+ " 9 \n",
+ " 10 1 1515.0 1515.0 0.0 area = (2*radius)**2 * in_circle/n_points\n",
+ " 11 1 633.0 633.0 0.0 return area"
+ ]
+ }
+ ],
+ "source": [
+ "lprun -f area_circle area_circle()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As expected, most of the execution time is spent in the actual calculations, i.e. the generation of random numberss and the calculation whether or not the newly generated point falls within the circle.\n",
+ "\n",
+ "The package \"scalene\" is a more powerful graphical profiler. We can use it as an example where we place the above code into a separate python program and then execute: ```scalene area.py```. This will then produce a web-page (profile.html by default) that will give us a detailed breakdown of where the program spends most of the time. It's a bit of an overkill for our example here but do try it out..."
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
diff --git a/pythonintro/solutions/Solutions_Python.ipynb b/pythonintro/solutions/Solutions_Python.ipynb
index 9f6b61f..4f8df41 100644
--- a/pythonintro/solutions/Solutions_Python.ipynb
+++ b/pythonintro/solutions/Solutions_Python.ipynb
@@ -156,7 +156,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3.10.6 ('pythonintro-hKmMjISb-py3.10')",
+ "display_name": "Python 3.10.6 64-bit",
"language": "python",
"name": "python3"
},
@@ -175,7 +175,7 @@
"orig_nbformat": 4,
"vscode": {
"interpreter": {
- "hash": "8eb59338b0c14423ef4b72291999b63587c3ee4bd1b8d960807ae48fbf6679f5"
+ "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
}
}
},
--
GitLab