Удалил Untitled.ipynb
This commit is contained in:
Sergey Lemeshevsky
656
Untitled.ipynb
656
Untitled.ipynb
@@ -1,656 +0,0 @@
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{
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"cells": [
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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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"name": "stdin",
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"output_type": "stream",
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"text": [
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" 10\n"
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]
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},
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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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"100\n"
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]
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}
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],
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"source": [
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"%run src-intro/test.py"
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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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"'/home/svl/Projects/Doconce/python-course/ipynb'"
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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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"%pwd"
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/home/svl/Projects/Doconce/python-course/ipynb/src-intro\n"
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]
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}
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],
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"source": [
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"%cd src-intro"
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Hello from Python!\n"
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]
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}
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],
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"source": [
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"%run hello.py"
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
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]
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}
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],
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"source": [
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"%run fib.py"
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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": 11,
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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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"range(0, 5)"
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]
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},
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"execution_count": 11,
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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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"range(5)"
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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": 13,
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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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"<generator object <genexpr> at 0x7f65857f9c80>\n"
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]
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}
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],
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"source": [
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"print(i for i in range(5))"
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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": 14,
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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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"\u001b[0;31mInit signature:\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m/\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mDocstring:\u001b[0m \n",
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"range(stop) -> range object\n",
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"range(start, stop[, step]) -> range object\n",
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"\n",
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"Return an object that produces a sequence of integers from start (inclusive)\n",
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"to stop (exclusive) by step. range(i, j) produces i, i+1, i+2, ..., j-1.\n",
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"start defaults to 0, and stop is omitted! range(4) produces 0, 1, 2, 3.\n",
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"These are exactly the valid indices for a list of 4 elements.\n",
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"When step is given, it specifies the increment (or decrement).\n",
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"\u001b[0;31mType:\u001b[0m type\n",
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"\u001b[0;31mSubclasses:\u001b[0m \n"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"range?"
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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": 18,
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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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"[10, 8, 6, 4, 2]"
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]
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},
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"execution_count": 18,
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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(range(10,1, -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": 19,
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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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"[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]\n"
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]
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}
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],
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"source": [
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"%run fib.py"
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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": 25,
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"metadata": {},
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"outputs": [
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{
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"ename": "TypeError",
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"evalue": "can't multiply sequence by non-int of type 'float'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-25-da4664af34ee>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfib\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;32m~/Projects/Doconce/python-course/ipynb/src-intro/fib.py\u001b[0m in \u001b[0;36mfib\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m 5\u001b[0m \"\"\"\n\u001b[1;32m 6\u001b[0m \u001b[0mf0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf0\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mf1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mTypeError\u001b[0m: can't multiply sequence by non-int of type 'float'"
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]
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}
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],
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"source": [
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"fib(1.0)"
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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": 26,
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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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"> \u001b[0;32m/home/svl/Projects/Doconce/python-course/ipynb/src-intro/fib.py\u001b[0m(7)\u001b[0;36mfib\u001b[0;34m()\u001b[0m\n",
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"\u001b[0;32m 5 \u001b[0;31m \"\"\"\n",
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"\u001b[0m\u001b[0;32m 6 \u001b[0;31m \u001b[0mf0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0m\u001b[0;32m----> 7 \u001b[0;31m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0m\u001b[0;32m 8 \u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0m\u001b[0;32m 9 \u001b[0;31m \u001b[0mf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf0\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mf1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0m\n"
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]
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},
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{
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"name": "stdin",
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"output_type": "stream",
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"text": [
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"ipdb> f\n"
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]
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},
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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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"*** NameError: name 'f' is not defined\n"
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]
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},
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{
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"name": "stdin",
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"output_type": "stream",
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"text": [
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"ipdb> f01\n"
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]
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},
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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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"*** NameError: name 'f01' is not defined\n"
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]
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},
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{
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"name": "stdin",
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"output_type": "stream",
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"text": [
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"ipdb> f0\n"
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]
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},
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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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"0\n"
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]
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},
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{
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"name": "stdin",
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"output_type": "stream",
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"text": [
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"ipdb> f1\n"
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]
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},
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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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"1\n"
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]
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},
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{
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"name": "stdin",
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"output_type": "stream",
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"text": [
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"ipdb> n\n"
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]
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}
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],
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"source": [
|
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"%debug"
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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": 23,
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"metadata": {},
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"outputs": [
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{
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||||
"data": {
|
||||
"text/plain": [
|
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"[1]"
|
||||
]
|
||||
},
|
||||
"execution_count": 23,
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||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
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],
|
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"source": [
|
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"a"
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]
|
||||
},
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{
|
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
|
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"outputs": [
|
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{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[1, 1, 1, 1]"
|
||||
]
|
||||
},
|
||||
"execution_count": 24,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"a*4"
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]
|
||||
},
|
||||
{
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"cell_type": "code",
|
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"execution_count": 27,
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"metadata": {},
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||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[1]"
|
||||
]
|
||||
},
|
||||
"execution_count": 27,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
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"a"
|
||||
]
|
||||
},
|
||||
{
|
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"cell_type": "code",
|
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"execution_count": 28,
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||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[1, 1, 2]"
|
||||
]
|
||||
},
|
||||
"execution_count": 28,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
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],
|
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"source": [
|
||||
"fib(3)"
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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": 29,
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"metadata": {},
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"outputs": [
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{
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"name": "stdin",
|
||||
"output_type": "stream",
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||||
"text": [
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||||
"Once deleted, variables cannot be recovered. Proceed (y/[n])? y\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%reset"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
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||||
"execution_count": 30,
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"metadata": {},
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"outputs": [
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||||
{
|
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"ename": "NameError",
|
||||
"evalue": "name 'a' is not defined",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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||||
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-30-3f786850e387>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
{
|
||||
"ename": "NameError",
|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
"8.35 µs ± 194 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n"
|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
"text": [
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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"<!-- Author: --> \n",
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||||
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||||
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||||
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||||
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BIN
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184
intro.ipynb
184
intro.ipynb
@@ -10,7 +10,7 @@
|
||||
"<!-- Author: --> \n",
|
||||
"**С.В. Лемешевский** (email: `sergey.lemeshevsky@gmail.com`), Институт математики НАН Беларуси\n",
|
||||
"\n",
|
||||
"Date: **Feb 26, 2020**\n",
|
||||
"Date: **Mar 18, 2020**\n",
|
||||
"\n",
|
||||
"<!-- Common Mako variable and functions -->\n",
|
||||
"<!-- -*- coding: utf-8 -*- -->\n",
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||||
@@ -354,10 +354,7 @@
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||||
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||||
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@@ -430,10 +427,7 @@
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||||
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||||
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@@ -556,10 +550,7 @@
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@@ -669,10 +660,7 @@
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@@ -954,10 +912,7 @@
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@@ -1029,10 +978,7 @@
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@@ -1043,10 +989,7 @@
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@@ -1065,10 +1008,7 @@
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"execution_count": 20,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1079,10 +1019,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 21,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1114,10 +1051,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 22,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1157,10 +1091,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1212,10 +1143,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 24,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1226,10 +1154,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1240,10 +1165,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 26,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1284,10 +1206,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 27,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1311,10 +1230,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1384,10 +1300,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1398,10 +1311,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1432,10 +1342,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 31,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1463,10 +1370,7 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 32,
|
||||
"metadata": {
|
||||
"collapsed": false,
|
||||
"jupyter": {
|
||||
"outputs_hidden": false
|
||||
}
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -2229,25 +2133,7 @@
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.1"
|
||||
}
|
||||
},
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
|
||||
3700
numpy.ipynb
Normal file
3700
numpy.ipynb
Normal file
File diff suppressed because it is too large
Load Diff
102
src-collections/generate_usernames_ans.py
Executable file
102
src-collections/generate_usernames_ans.py
Executable file
@@ -0,0 +1,102 @@
|
||||
#!/usr/bin/env python3
|
||||
# Copyright (c) 2008-11 Qtrac Ltd. All rights reserved.
|
||||
# This program or module is free software: you can redistribute it and/or
|
||||
# modify it under the terms of the GNU General Public License as published
|
||||
# by the Free Software Foundation, either version 3 of the License, or
|
||||
# (at your option) any later version. It is provided for educational
|
||||
# purposes and is distributed in the hope that it will be useful, but
|
||||
# WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
|
||||
# General Public License for more details.
|
||||
|
||||
import collections
|
||||
import sys
|
||||
|
||||
|
||||
ID, FORENAME, MIDDLENAME, SURNAME, DEPARTMENT = range(5)
|
||||
|
||||
User = collections.namedtuple("User",
|
||||
"username forename middlename surname id")
|
||||
|
||||
|
||||
def main():
|
||||
if len(sys.argv) == 1 or sys.argv[1] in {"-h", "--help"}:
|
||||
print("usage: {0} file1 [file2 [... fileN]]".format(
|
||||
sys.argv[0]))
|
||||
sys.exit()
|
||||
|
||||
usernames = set()
|
||||
users = {}
|
||||
for filename in sys.argv[1:]:
|
||||
with open(filename, encoding="utf8") as file:
|
||||
for line in file:
|
||||
line = line.rstrip()
|
||||
if line:
|
||||
user = process_line(line, usernames)
|
||||
users[(user.surname.lower(), user.forename.lower(),
|
||||
user.id)] = user
|
||||
print_users(users)
|
||||
|
||||
|
||||
def process_line(line, usernames):
|
||||
fields = line.split(":")
|
||||
username = generate_username(fields, usernames)
|
||||
user = User(username, fields[FORENAME], fields[MIDDLENAME],
|
||||
fields[SURNAME], fields[ID])
|
||||
return user
|
||||
|
||||
|
||||
def generate_username(fields, usernames):
|
||||
username = ((fields[FORENAME][0] + fields[MIDDLENAME][:1] +
|
||||
fields[SURNAME]).replace("-", "").replace("'", ""))
|
||||
username = original_name = username[:8].lower()
|
||||
count = 1
|
||||
while username in usernames:
|
||||
username = "{0}{1}".format(original_name, count)
|
||||
count += 1
|
||||
usernames.add(username)
|
||||
return username
|
||||
|
||||
|
||||
def by_surname_forename(user):
|
||||
return user.surname.lower(), user.forename.lower(), user.id
|
||||
|
||||
|
||||
def print_users(users):
|
||||
namewidth = 17
|
||||
usernamewidth = 9
|
||||
columngap = " " * 2
|
||||
|
||||
headline1 = "{0:<{nw}} {1:^6} {2:{uw}}".format("Name", "ID",
|
||||
"Username", nw=namewidth, uw=usernamewidth)
|
||||
headline2 = "{0:-<{nw}} {0:-<6} {0:-<{uw}}".format("",
|
||||
nw=namewidth, uw=usernamewidth)
|
||||
header = (headline1 + columngap + headline1 + "\n" +
|
||||
headline2 + columngap + headline2)
|
||||
|
||||
lines = []
|
||||
for key in sorted(users):
|
||||
user = users[key]
|
||||
initial = ""
|
||||
if user.middlename:
|
||||
initial = " " + user.middlename[0]
|
||||
name = "{0.surname}, {0.forename}{1}".format(user, initial)
|
||||
lines.append("{0:.<{nw}.{nw}} ({1.id:4}) "
|
||||
"{1.username:{uw}}".format(name, user,
|
||||
nw=namewidth, uw=usernamewidth))
|
||||
|
||||
lines_per_page = 64
|
||||
lino = 0
|
||||
for left, right in zip(lines[::2], lines[1::2]):
|
||||
if lino == 0:
|
||||
print(header)
|
||||
print(left + columngap + right)
|
||||
lino += 1
|
||||
if lino == lines_per_page:
|
||||
print("\f")
|
||||
lino = 0
|
||||
if lines[-1] != right:
|
||||
print(lines[-1])
|
||||
|
||||
|
||||
main()
|
||||
80
src-datatype/.ipynb_checkpoints/csv2html-checkpoint.py~
Normal file
80
src-datatype/.ipynb_checkpoints/csv2html-checkpoint.py~
Normal file
@@ -0,0 +1,80 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
def main():
|
||||
maxwidth = 100
|
||||
print_start()
|
||||
count = 0
|
||||
while True:
|
||||
try:
|
||||
line = input()
|
||||
if count == 0:
|
||||
color = "lightgreen"
|
||||
elif count % 2:
|
||||
color = "white"
|
||||
else:
|
||||
color = "lightyellow"
|
||||
print_line(line, color, maxwidth)
|
||||
count += 1
|
||||
except EOFError:
|
||||
break
|
||||
print_end()
|
||||
|
||||
def print_start():
|
||||
print("<table border='1'>")
|
||||
|
||||
def print_end():
|
||||
print("</table>")
|
||||
|
||||
def print_line(line, color, maxwidth):
|
||||
print("<tr bgcolor='{0}'>".format(color))
|
||||
fields = extract_fields(line)
|
||||
for field in fields:
|
||||
if not field:
|
||||
print("<td></td>")
|
||||
else:
|
||||
number = field.replace(",", "")
|
||||
try:
|
||||
x = float(number)
|
||||
print("<td align='right'>{0:d}</td>".format(round(x)))
|
||||
except ValueError:
|
||||
field = field.title()
|
||||
field = field.replace(" And ", " and ")
|
||||
field = escape_html(field)
|
||||
if len(field) <= maxwidth:
|
||||
print("<td>{0}</td>".format(field))
|
||||
else:
|
||||
print("<td>{0:.{1}} ...</td>".format(field, maxwidth))
|
||||
print("</tr>")
|
||||
|
||||
def extract_fields(line):
|
||||
fields = []
|
||||
field = ""
|
||||
quote = None
|
||||
for c in line:
|
||||
if c in "\"'":
|
||||
if quote is None: # начало строки в кавычках
|
||||
quote = c
|
||||
elif quote == c: # конец строки в кавычках
|
||||
quote = None
|
||||
else:
|
||||
field += c
|
||||
# другая кавычка внутри строки в кавычках
|
||||
continue
|
||||
if quote is None and c == ",": # end of a field
|
||||
fields.append(field)
|
||||
field = ""
|
||||
else:
|
||||
field += c
|
||||
# добавить символ в поле
|
||||
if field:
|
||||
fields.append(field) # добавить последнее поле в список
|
||||
return fields
|
||||
|
||||
def escape_html(text):
|
||||
text = text.replace("&", "&")
|
||||
text = text.replace("<", "<")
|
||||
text = text.replace(">", ">")
|
||||
return text
|
||||
|
||||
|
||||
main()
|
||||
33
src-datatype/.ipynb_checkpoints/print_unicode-checkpoint.py~
Normal file
33
src-datatype/.ipynb_checkpoints/print_unicode-checkpoint.py~
Normal file
@@ -0,0 +1,33 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import sys
|
||||
import unicodedata
|
||||
|
||||
def print_unicode_table(word):
|
||||
print("decimal hex chr {0:^40}".format("name"))
|
||||
print("------- ----- --- {0:-<40}".format(""))
|
||||
|
||||
code = ord(" ")
|
||||
end = sys.maxunicode
|
||||
|
||||
while code < end:
|
||||
c = chr(code)
|
||||
name = unicodedata.name(c, "*** unknown ***")
|
||||
if word is None or word in name.lower():
|
||||
print("{0:7} {0:5X} {0:^3c} {1}".format(code, name.title()))
|
||||
code += 1
|
||||
# End print_unicode_table
|
||||
|
||||
# Start main script
|
||||
word = None
|
||||
|
||||
if len(sys.argv) > 1:
|
||||
if sys.argv[1] in ("-h", "--help"):
|
||||
print("usage: {0} [string]".format(sys.argv[0]))
|
||||
word = 0
|
||||
else:
|
||||
word = sys.argv[1].lower()
|
||||
|
||||
if word != 0:
|
||||
print_unicode_table(word)
|
||||
|
||||
#End main script
|
||||
50
src-datatype/.ipynb_checkpoints/quadratic-checkpoint.py~
Normal file
50
src-datatype/.ipynb_checkpoints/quadratic-checkpoint.py~
Normal file
@@ -0,0 +1,50 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import cmath
|
||||
import math
|
||||
import sys
|
||||
|
||||
# Start get_float
|
||||
def get_float(msg, allow_zero):
|
||||
x = None
|
||||
while x is None:
|
||||
try:
|
||||
x = float(input(msg))
|
||||
if not allow_zero and abs(x) < sys.float_info.epsilon:
|
||||
print("zero is not allowed")
|
||||
x = None
|
||||
|
||||
except ValueError as err:
|
||||
print(err)
|
||||
return x
|
||||
# End get_float
|
||||
|
||||
|
||||
# Start 1st block
|
||||
print("ax\N{SUPERSCRIPT TWO} + bx + c = 0")
|
||||
a = get_float("enter a: ", False)
|
||||
b = get_float("enter b: ", False)
|
||||
c = get_float("enter c: ", False)
|
||||
# End 1st block
|
||||
|
||||
# Start 2d block
|
||||
x1 = None
|
||||
x2 = None
|
||||
discriminant = (b ** 2) - (4 * a * c)
|
||||
if discriminant == 0:
|
||||
x1 = -(b / (2 * a))
|
||||
else:
|
||||
if discriminant > 0:
|
||||
root = math.sqrt(discriminant)
|
||||
else: # discriminant < 0
|
||||
root = cmath.sqrt(discriminant)
|
||||
x1 = (-b + root) / (2 * a)
|
||||
x2 = (-b - root) / (2 * a)
|
||||
# End 2d block
|
||||
|
||||
# Start 3d block
|
||||
equation = ("{0}x\N{SUPERSCRIPT TWO} + {1}x + {2} = 0"
|
||||
" \N{RIGHTWARDS ARROW} x = {3}").format(a, b, c, x1)
|
||||
if x2 is not None:
|
||||
equation += " or x = {0}".format(x2)
|
||||
print(equation)
|
||||
# End 3d block
|
||||
@@ -76,5 +76,4 @@ def escape_html(text):
|
||||
text = text.replace(">", ">")
|
||||
return text
|
||||
|
||||
|
||||
main()
|
||||
|
||||
@@ -37,8 +37,8 @@ else:
|
||||
root = math.sqrt(discriminant)
|
||||
else: # discriminant < 0
|
||||
root = cmath.sqrt(discriminant)
|
||||
x1 = (-b + root) / (2 * a)
|
||||
x2 = (-b - root) / (2 * a)
|
||||
x1 = (-b + root) / (2 * a)
|
||||
x2 = (-b - root) / (2 * a)
|
||||
# End 2d block
|
||||
|
||||
# Start 3d block
|
||||
|
||||
BIN
src-numpy/array_archive.npz
Normal file
BIN
src-numpy/array_archive.npz
Normal file
Binary file not shown.
BIN
src-numpy/arrays_compressed.npz
Normal file
BIN
src-numpy/arrays_compressed.npz
Normal file
Binary file not shown.
8
src-numpy/random_walk_numpy.py
Normal file
8
src-numpy/random_walk_numpy.py
Normal file
@@ -0,0 +1,8 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import numpy as np
|
||||
|
||||
nsteps = 1000
|
||||
draws = np.random.randint(0, 2, size=nsteps)
|
||||
steps = np.where(draws > 0, 1, -1)
|
||||
walk = steps.cumsum()
|
||||
17
src-numpy/random_walk_pure.py
Normal file
17
src-numpy/random_walk_pure.py
Normal file
@@ -0,0 +1,17 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
import random
|
||||
|
||||
position = 0
|
||||
walk = [position]
|
||||
steps = 1000
|
||||
for i in range(100):
|
||||
step = 1 if random.randint(0, 1) else -1
|
||||
position += step
|
||||
walk.append(position)
|
||||
|
||||
plt.plot(walk[:100])
|
||||
plt.savefig('numpy-3.png')
|
||||
|
||||
|
||||
BIN
src-numpy/some_array.npy
Normal file
BIN
src-numpy/some_array.npy
Normal file
Binary file not shown.
Reference in New Issue
Block a user