ch01-12: clean up by @eumiro
This commit is contained in:
3
02-array-seq/.gitignore
vendored
3
02-array-seq/.gitignore
vendored
@@ -1,3 +0,0 @@
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floats-*.txt
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floats-*.npy
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floats.bin
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@@ -1,21 +0,0 @@
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# An Array of Sequences
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Sample code for Chapter 2 of _Fluent Python 2e_ by Luciano Ramalho (O'Reilly, 2020)
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## Running the tests
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### Doctests
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Use Python's standard ``doctest`` module, for example:
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$ python3 -m doctest bisect_demo.py -v
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### Jupyter Notebook
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Install ``pytest`` and the ``nbval`` plugin:
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$ pip install pytest nbval
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Run:
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$ pytest --nbval
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4
02-array-seq/README.rst
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4
02-array-seq/README.rst
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@@ -0,0 +1,4 @@
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Sample code for Chapter 2 - "An array of sequences"
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From the book "Fluent Python 2e" by Luciano Ramalho (O'Reilly)
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http://shop.oreilly.com/product/0636920032519.do
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@@ -36,7 +36,7 @@ Demonstration of ``bisect.bisect_left``::
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"""
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# BEGIN BISECT_DEMO
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# tag::BISECT_DEMO[]
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import bisect
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import sys
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@@ -62,4 +62,4 @@ if __name__ == '__main__':
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print('haystack ->', ' '.join(f'{n:2}' for n in HAYSTACK))
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demo(bisect_fn)
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# END BISECT_DEMO
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# end::BISECT_DEMO[]
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@@ -9,4 +9,4 @@ my_list = []
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for i in range(SIZE):
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new_item = random.randrange(SIZE * 2)
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bisect.insort(my_list, new_item)
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print(f'{new_item:2} ->', my_list)
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print(f'{new_item:2d} -> {my_list}')
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238
02-array-seq/memoryviews.ipynb
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238
02-array-seq/memoryviews.ipynb
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@@ -0,0 +1,238 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# memoryviews\n",
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"\n",
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"## References\n",
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"\n",
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"* [PEP-3118](https://www.python.org/dev/peps/pep-3118/) Revising the buffer protocol (2006)\n",
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"* [issue14130](https://bugs.python.org/issue14130) memoryview: add multi-dimensional indexing and slicing (2012)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3.7.1 (default, Dec 14 2018, 13:28:58) \n",
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"[Clang 4.0.1 (tags/RELEASE_401/final)]\n"
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]
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}
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],
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"source": [
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"import sys\n",
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"print(sys.version)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<memory at 0x1045a31c8>"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mv1d = memoryview(bytes(range(35, 50)))\n",
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"mv1d"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"list(mv1d)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<memory at 0x10464a120>"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mv2d = mv1d.cast('B', [3, 5])\n",
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"mv2d"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(3, 5)"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mv2d.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"3"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(mv2d)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[[35, 36, 37, 38, 39], [40, 41, 42, 43, 44], [45, 46, 47, 48, 49]]"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mv2d.tolist()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[35, 36, 37, 38, 39]\n",
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"[40, 41, 42, 43, 44]\n",
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"[45, 46, 47, 48, 49]\n"
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]
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}
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],
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"source": [
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"for row in mv2d.tolist():\n",
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" print(row)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"42"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mv2d[1, 2]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"42"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"mv2d.tolist()[1][2]"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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@@ -1,11 +0,0 @@
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Assigning to Slices
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===================
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An example that raises an error::
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>>> l = list(range(10))
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>>> l[2:5] = 100
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Traceback (most recent call last):
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...
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TypeError: can only assign an iterable
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