Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| cb16eadda1 | |||
|
95733aa1aa |
12
.gitignore
vendored
12
.gitignore
vendored
@ -1,12 +0,0 @@
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# wiki files
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Python2017.wiki/*
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# Jupyter Files
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*/.ipynb_checkpoints/*
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# Rope files
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.ropeproject
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*/.ropeproject
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# Labs temp files
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labs03/haslo2.txt
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@ -1,6 +0,0 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="$PROJECT_DIR$" vcs="Git" />
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</component>
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</project>
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32
homework/task07.py
Normal file
32
homework/task07.py
Normal file
@ -0,0 +1,32 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Napisz funkcję char_sum, która dla zadanego łańcucha zwraca
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sumę kodów ASCII znaków.
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"""
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def char_sum(text):
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suma_ascii = 0
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lista_ascii = []
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# lista_znaków = list(text)
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for znak in text:
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znak_ascii = ord(znak)
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lista_ascii.append(znak_ascii)
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for znak2 in lista_ascii:
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suma_ascii = suma_ascii + znak2
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return suma_ascii
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# print('suma ASCII: ', suma_ascii)
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def tests(f):
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inputs = [["this is a string"], ["this is another string"]]
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outputs = [1516, 2172]
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for input, output in zip(inputs, outputs):
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if f(*input) != output:
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return "ERROR: {}!={}".format(f(*input), output)
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break
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return "TESTS PASSED"
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if __name__ == "__main__":
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print(tests(char_sum))
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31
homework/task08.py
Normal file
31
homework/task08.py
Normal file
@ -0,0 +1,31 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Napisz funkcję sum_div35(n), która zwraca sumę wszystkich liczb podzielnych
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przez 3 lub 5 mniejszych niż n.
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"""
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def sum_div35(n):
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lista_wejsciowa = range(n)
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lista_wyjsciowa = []
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suma = 0
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for i in lista_wejsciowa:
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if i % 3 == 0 or i % 5 == 0:
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lista_wyjsciowa.append(i)
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for j in lista_wyjsciowa:
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suma = suma + j
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return suma
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def tests(f):
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inputs = [[10], [100], [3845]]
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outputs = [23, 2318, 3446403]
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for input, output in zip(inputs, outputs):
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if f(*input) != output:
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return "ERROR: {}!={}".format(f(*input), output)
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break
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return "TESTS PASSED"
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if __name__ == "__main__":
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print(tests(sum_div35))
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41
homework/task09.py
Normal file
41
homework/task09.py
Normal file
@ -0,0 +1,41 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Napisz funkcję leet_speak, która podmienia w podanym napisie niektóre litery
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na podobnie wyglądające cyfry: 'e' na '3', 'l' na '1', 'o' na '0', 't' na '7'.
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Np. leet('leet') powinno zwrócić '1337'.
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"""
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def leet_speak(text):
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strin = []
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for znak in text:
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if znak == 'e':
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znak1 = '3'
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strin.append(znak1)
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elif znak == 'l':
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znak1 = '1'
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strin.append(znak1)
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elif znak == 'o':
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znak1 = '0'
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strin.append(znak1)
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elif znak == 't':
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znak1 = '7'
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strin.append(znak1)
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else:
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strin.append(znak)
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return ''.join(strin)
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def tests(f):
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inputs = [['leet'], ['do not want']]
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outputs = ['1337', 'd0 n07 wan7']
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for input, output in zip(inputs, outputs):
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if f(*input) != output:
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return "ERROR: {}!={}".format(f(*input), output)
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break
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return "TESTS PASSED"
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if __name__ == "__main__":
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print(tests(leet_speak))
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34
homework/task10.py
Normal file
34
homework/task10.py
Normal file
@ -0,0 +1,34 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Napisz funkcję pokemon_speak, która zamienia w podanym napisie co drugą literę
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na wielką. Np. pokemon_speak('pokemon') powinno zwrócić 'PoKeMoN'.
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"""
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def pokemon_speak(text):
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i = 0
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new_string = []
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for j in text:
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if i % 2 == 0:
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new_string.append(j.upper())
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else:
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new_string.append(j)
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i = i + 1
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return ''.join(new_string)
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def tests(f):
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inputs = [['pokemon'], ['do not want'], ['POKEMON']]
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outputs = ['PoKeMoN', 'Do nOt wAnT', 'POKEMON']
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for input, output in zip(inputs, outputs):
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if f(*input) != output:
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return "ERROR: {}!={}".format(f(*input), output)
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break
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return "TESTS PASSED"
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if __name__ == "__main__":
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print(tests(pokemon_speak))
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42
homework/task11.py
Normal file
42
homework/task11.py
Normal file
@ -0,0 +1,42 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Napisz funkcję common_chars(string1, string2), która zwraca alfabetycznie
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uporządkowaną listę wspólnych liter z lańcuchów string1 i string2.
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Oba napisy będą składać się wyłacznie z małych liter.
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"""
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def common_chars(string1, string2):
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output_list1 = []
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output_list2 = []
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for j in string1:
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if j in string2:
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output_list1.append(j)
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#print(output_list1)
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for i in output_list1:
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if i not in output_list2:
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output_list2.append(i)
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for k in output_list2:
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if k == ' ':
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output_list2.remove(k)
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#return output_list2
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output_list3 = sorted(output_list2)
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#print(output_list3)
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return output_list3
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#common_chars("this is a string", "ala ma kota")
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def tests(f):
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inputs = [["this is a string", "ala ma kota"]]
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outputs = [['a', 't']]
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for input, output in zip(inputs, outputs):
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if f(*input) != output:
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return "ERROR: {}!={}".format(f(*input), output)
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break
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return "TESTS PASSED"
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if __name__ == "__main__":
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print(tests(common_chars))
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@ -1,124 +0,0 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import argparse
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import logging
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import git
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import os
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import importlib
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import collections
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import csv
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logger = logging.getLogger('Homeworks')
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logger.setLevel(logging.DEBUG)
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fm = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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ch = logging.StreamHandler()
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ch.setFormatter(fm)
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logger.addHandler(ch)
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def arg_parse():
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parser = argparse.ArgumentParser(description='Framework for checking homeworks.')
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parser.add_argument('-i', '--ids', type=str,
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help='path to a file with student ids.')
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return parser.parse_args()
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def get_ids(path):
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ids = []
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with open(path) as _file:
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for line in _file:
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ids.append(line.strip().split(' ')[::2])
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return ids
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def clone_repo(username, repo_name):
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repo = "https://git.wmi.amu.edu.pl/{}/{}.git".format(username, repo_name)
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dest = "./Python2017-{}".format(username)
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if os.path.exists(dest):
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logger.debug("{}: repo exests.".format(username))
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else:
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try:
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git.Repo.clone_from(repo, dest)
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except git.GitCommandError:
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logger.info("Repository '{}' does not exist".format(repo))
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return False
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return True
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def check_tasks(username, repo_name, tasks):
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logger.debug("Marking user: {}".format(username))
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scores = collections.defaultdict(dict)
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for lab in tasks:
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path = os.path.realpath("./Python2017-{}/{}".format(username, lab))
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for task, fun in tasks[lab]:
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task_file = path + "/{}". format(task)
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logger.debug(task_file)
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package = 'Python2017-{}.{}.{}'.format(username, lab, task)
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lib = importlib.import_module(package)
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tested_fun = getattr(lib, fun)
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tests = getattr(lib, 'tests')
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try:
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test_result = tests(tested_fun)
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except Exception:
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test_result = "FAILED"
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if test_result == 'TESTS PASSED':
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scores[lab][task] = 1
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else:
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scores[lab][task] = 0
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return scores
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def get_fieldnames(tasks):
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fieldnames = ['ID']
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for lab in tasks:
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for task, _ in tasks[lab]:
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fieldnames.append('{}:{}'.format(lab, task))
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return fieldnames
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def parse_scores(fieldnames, uname, scores):
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out = {}
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for name in fieldnames:
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if name == 'ID':
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out[name] = uname
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continue
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lab, task = name.split(':')
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out[name] = scores[lab][task]
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return out
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def write_scores(scores, filename, tasks):
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fieldnames = get_fieldnames(tasks)
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with open(filename, 'w') as results:
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writer = csv.DictWriter(results, fieldnames, restval=0)
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writer.writeheader()
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for student in scores:
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writer.writerow(parse_scores(fieldnames, student, scores[student]))
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def main():
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""" main """
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options = arg_parse()
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ids = get_ids(options.ids)
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logger.info("Liczba studentów: {}".format(len(ids)))
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scores = {}
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tasks = {
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'labs02' : [
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('task07', 'char_sum'),
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('task08', 'sum_div35'),
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('task09', 'leet_speak'),
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('task10', 'pokemon_speak'),
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('task11', 'common_chars')
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]
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}
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for repo_id in ids:
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st_uname = repo_id[0]
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repo_name = repo_id[-1]
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if clone_repo(st_uname, repo_name):
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scores[st_uname] = check_tasks(st_uname, repo_name, tasks)
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write_scores(scores, 'results.csv', tasks)
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if __name__ == "__main__":
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main()
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@ -1,38 +0,0 @@
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ID | labs02:task07 | labs02:task08 | labs02:task09 | labs02:task10 | labs02:task11 | labs03 | labs04 | labs06 | Punkty | Ocena |
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---------|-----------------|-----------------|-----------------|-----------------|-----------------|----------|----------|----------|--------|-------|
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s45146 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45147 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
|
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s45148 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
|
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s45150 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 8 | 16 | 4 |
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s45151 | 1 | 1 | 1 | 1 | 1 | 0 | 5 | 8 | 18 | 4.5 |
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s45152 | 1 | 1 | 1 | 0 | 1 | 0 | 5 | 8 | 17 | 4 |
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s45153 | 0 | 1 | 1 | 1 | 1 | 4 | 0 | 8 | 16 | 4 |
|
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s45155 | 1 | 1 | 1 | 1 | 1 | 1 | 5 | 8 | 19 | 4.5 |
|
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s45156 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
|
||||
s45157 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
|
||||
s45158 | 1 | 1 | 0 | 0 | 1 | 4 | 5 | 8 | 19 | 4.5 |
|
||||
s45159 | 1 | 1 | 1 | 1 | 1 | 2 | 3 | 8 | 18 | 4.5 |
|
||||
s45160 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
|
||||
s45161 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
|
||||
s45162 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
|
||||
s45163 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
|
||||
s45164 | 1 | 1 | 0 | 1 | 0 | 0 | 5 | 8 | 16 | 4 |
|
||||
s45165 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
|
||||
s45166 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
|
||||
s45167 | 1 | 1 | 1 | 1 | 1 | 0 | 5 | 8 | 17 | 4 |
|
||||
s45168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
|
||||
s45452 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
|
||||
szwedek | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 10 | 24 | 5 |
|
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|
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Skala:
|
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|
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Punkty | Ocena |
|
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-------|-------|
|
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24-20 | 5 |
|
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19-18 | 4.5 |
|
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17-16 | 4 |
|
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15-13 | 3 |
|
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12-0 | 2 |
|
||||
|
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|
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Max: 22
|
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@ -8,7 +8,7 @@ która zawiera tylko elementy z list o parzystych indeksach.
|
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|
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def even_elements(lista):
|
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pass
|
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|
||||
return lista[::2]
|
||||
|
||||
def tests(f):
|
||||
inputs = [[[1, 2, 3, 4, 5, 6]], [[]], [[41]]]
|
||||
|
||||
@ -5,8 +5,14 @@
|
||||
Napisz funkcję days_in_year zwracającą liczbę dni w roku (365 albo 366).
|
||||
"""
|
||||
|
||||
def days_in_year(days):
|
||||
def days_in_year(year):
|
||||
pass
|
||||
if year % 400 == 0:
|
||||
return 366
|
||||
elif year % 4 == 0 and year % 100 != 0:
|
||||
return 366
|
||||
else:
|
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return 365
|
||||
|
||||
def tests(f):
|
||||
inputs = [[2015], [2012], [1900], [2400], [1977]]
|
||||
|
||||
@ -11,12 +11,18 @@ litery. (OOV = out of vocabulary) (W pythonie istnieje struktura danych tak
|
||||
jak 'set', która przechowuje elementy bez powtórzeń.)
|
||||
"""
|
||||
|
||||
text = "this is a string , which i will use for string testing"
|
||||
vocab = [',', 'this', 'is', 'a', 'which', 'for', 'will', 'i']
|
||||
|
||||
def oov(text, vocab):
|
||||
pass
|
||||
temp_text=text.split(' ')
|
||||
temp_vocab=vocab.split(' ')
|
||||
|
||||
|
||||
|
||||
|
||||
"""
|
||||
def tests(f):
|
||||
inputs = [("this is a string , which i will use for string testing",
|
||||
[',', 'this', 'is', 'a', 'which', 'for', 'will', 'i'])]
|
||||
@ -30,3 +36,4 @@ def tests(f):
|
||||
|
||||
if __name__ == "__main__":
|
||||
print(tests(oov))
|
||||
"""
|
||||
@ -13,7 +13,7 @@ def pokemon_speak(text):
|
||||
|
||||
|
||||
def tests(f):
|
||||
inputs = [['pokemon'], ['do not want'], ['POKEMON']]
|
||||
inputs = [['pokemon'], ['do not want'], 'POKEMON']
|
||||
outputs = ['PoKeMoN', 'Do nOt wAnT', 'POKEMON']
|
||||
|
||||
for input, output in zip(inputs, outputs):
|
||||
|
||||
@ -6,6 +6,7 @@ def suma(a, b):
|
||||
"""
|
||||
Napisz funkcję, która zwraca sumę elementów.
|
||||
"""
|
||||
pass
|
||||
return a + b
|
||||
|
||||
def tests(f):
|
||||
@ -18,4 +19,5 @@ def tests(f):
|
||||
break
|
||||
return "TESTS PASSED"
|
||||
|
||||
print(tests(suma))
|
||||
if __name__ == "__main__":
|
||||
print(tests(suma))
|
||||
|
||||
@ -1,630 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Python: podstaw ciąg dalszy\n",
|
||||
"\n",
|
||||
"## Tomasz Dwojak\n",
|
||||
"\n",
|
||||
"### 2 grudnia 2017"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Co już znamy?\n",
|
||||
" * podstawowe typy danych i operacje na nich\n",
|
||||
" * Instrukcje sterujące: ``if``, ``for``\n",
|
||||
" * pisanie funkcji\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Co na dziś?\n",
|
||||
"\n",
|
||||
" * ``tuple`` i ``set``,\n",
|
||||
" * operacje na plikach,\n",
|
||||
" * coś więcej o funkcjach\n",
|
||||
" * korzystanie z bibliotek\n",
|
||||
" * przegląd najważniejszych bibliotek"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"2\n",
|
||||
"[1, 2, 3, 1, 2, 3]\n",
|
||||
"123\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def dwojak(x): \n",
|
||||
" x *= 2\n",
|
||||
" return x\n",
|
||||
" \n",
|
||||
"l = [1, 2, 3]\n",
|
||||
"s = \"123\"\n",
|
||||
"\n",
|
||||
"dwojak(l)\n",
|
||||
"dwojak(s)\n",
|
||||
"print(dwojak(1))\n",
|
||||
"print(l)\n",
|
||||
"print(s)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Mutable i Immutable\n",
|
||||
"\n",
|
||||
"### Mutable\n",
|
||||
" * listy,\n",
|
||||
" * słowniki,\n",
|
||||
" * sety,\n",
|
||||
" * własnoręcznie zdefiniowane klasy.\n",
|
||||
" \n",
|
||||
"### Immutable\n",
|
||||
" * liczby: inty i floaty,\n",
|
||||
" * napisy,\n",
|
||||
" * tuple."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Nieoczywistości"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[1, 2, 3, 1, 2, 3]\n",
|
||||
"F: [1, 2, 3, 1, 2, 3]\n",
|
||||
"[1, 2, 3]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def dwojak1(x): x *= 2\n",
|
||||
"def dwojak2(x): \n",
|
||||
" x = x * 2\n",
|
||||
" print(\"F:\", x)\n",
|
||||
"\n",
|
||||
"l = [1,2, 3]\n",
|
||||
"dwojak1(l)\n",
|
||||
"print(l)\n",
|
||||
"\n",
|
||||
"l = [1,2, 3]\n",
|
||||
"dwojak2(l)\n",
|
||||
"print(l)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 17,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[1, 2, 3]\n",
|
||||
"[1, 2, 3, 4]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"l = [1, 2, 3]\n",
|
||||
"e = l[:]\n",
|
||||
"e.append(4)\n",
|
||||
"print(l)\n",
|
||||
"print(e)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[[1], [1], [1]]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"e = []\n",
|
||||
"f = [e for i in range(3)]\n",
|
||||
"f[0].append(1)\n",
|
||||
"print(f)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## To może ``tuple``?\n",
|
||||
" * stały rozmiar,\n",
|
||||
" * immutable,\n",
|
||||
" * mogą być kluczami w słownikach"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"(1, 'napis', [0])\n",
|
||||
"3\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "TypeError",
|
||||
"evalue": "unhashable type: 'list'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-25-2bd2fa17fbf5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"t = (1, \"napis\", [])\n",
|
||||
"t[-1].append(0)\n",
|
||||
"print(t)\n",
|
||||
"print(len(t))\n",
|
||||
"print({t: None})"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Funkcje cz. 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 36,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"15\n",
|
||||
"a == 1\n",
|
||||
"b == (3, 4)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def suma(*args):\n",
|
||||
" return sum(args)\n",
|
||||
"print(suma(1,2,3,4,5))\n",
|
||||
"\n",
|
||||
"def greet_me(z=None,**kwargs):\n",
|
||||
" if kwargs is not None:\n",
|
||||
" for key, value in kwargs.items():\n",
|
||||
" print(\"%s == %s\" %(key,value))\n",
|
||||
"greet_me(a=1, b=(3,4))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Generatory"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 38,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"97\n",
|
||||
"a\n",
|
||||
"98\n",
|
||||
"b\n",
|
||||
"99\n",
|
||||
"c\n",
|
||||
"100\n",
|
||||
"d\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"def alfaRange(x, y):\n",
|
||||
" for i in range(ord(x), ord(y)):\n",
|
||||
" print(i)\n",
|
||||
" yield chr(i)\n",
|
||||
"\n",
|
||||
"for c in alfaRange('a', 'e'):\n",
|
||||
" print(c)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Operacje na plikach"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"W Paryżu najlepsze kasztany są na placu Pigalle\n",
|
||||
"Zuzanna lubi je tylko jesienią.\n",
|
||||
"\n",
|
||||
">>\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"plik = open(\"haslo.txt\", 'r')\n",
|
||||
"for linia in plik.readlines():\n",
|
||||
" print(linia.strip())\n",
|
||||
"print(plik.read())\n",
|
||||
"print(\">>\")\n",
|
||||
"plik.close()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 47,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"W Paryżu najlepsze kasztany są na placu Pigalle\n",
|
||||
"\n",
|
||||
"Zuzanna lubi je tylko jesienią.\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "ValueError",
|
||||
"evalue": "I/O operation on closed file.",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-47-f06513c1bbec>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlinia\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadlines\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 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlinia\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\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[0m",
|
||||
"\u001b[0;31mValueError\u001b[0m: I/O operation on closed file."
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"with open(\"haslo.txt\", 'r') as plik:\n",
|
||||
" for linia in plik.readlines():\n",
|
||||
" print(linia)\n",
|
||||
"print(plik.read())"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"with open(\"haslo2.txt\", 'w') as plik:\n",
|
||||
" for word in ('corect', 'horse', 'battery', 'staple'):\n",
|
||||
" plik.write(word)\n",
|
||||
" plik.write('\\n')\n",
|
||||
"with open(\"haslo2.txt\", 'w+') as plik:\n",
|
||||
" plik.writelines([' '.join(('corect', 'horse', 'battery', 'staple'))])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Korzystanie z modułów"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Importowanie"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 49,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"posix\n",
|
||||
"Nazwa uzytkownika: tomaszd\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"print(os.name)\n",
|
||||
"\n",
|
||||
"from os import getenv\n",
|
||||
"print('Nazwa uzytkownika: {}'.format(getenv(\"USER\")))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 50,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Counter({'o': 4, 'n': 4, 'a': 4, 'k': 3, 't': 3, 'y': 2, 'i': 2, 'c': 2, 'z': 2, 's': 1, 'p': 1, 'l': 1, 'ń': 1, 'w': 1, 'e': 1})\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"array([[ 1., 3., 4., 5.]], dtype=float32)"
|
||||
]
|
||||
},
|
||||
"execution_count": 50,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from collections import *\n",
|
||||
"print(Counter(\"konstantynopolitańczykowianeczka\"))\n",
|
||||
"\n",
|
||||
"import numpy as np\n",
|
||||
"np.array([[1, 3, 4, 5]], dtype='float32')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Instalacja\n",
|
||||
"\n",
|
||||
" * lokalnie (per użytkownik) lub globalnie\n",
|
||||
" * pyCharm lub linia komend, np. ``pip install --user flask`` lub ``python -m pip install --user flask``"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Wczytywanie z klawiatury"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 51,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"What's your name?\n",
|
||||
"Tomasz\n",
|
||||
"Welcome home, Tomasz.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"name = input(\"What's your name?\\n\")\n",
|
||||
"print(\"Welcome home, {}.\".format(name))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"liczby = eval(input(\"Podaj liczby\"))\n",
|
||||
"print(sum(liczby))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Co ominąłem?\n",
|
||||
"\n",
|
||||
" * klasy (jutro)\n",
|
||||
" * podział programu na pliki (jutro)\n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"celltoolbar": "Slideshow",
|
||||
"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": "3.6.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
@ -1,36 +0,0 @@
|
||||
# Laboratoria 3
|
||||
|
||||
## Zadania
|
||||
|
||||
**ćwiczenie 0**
|
||||
Sklonuj repozytorium ``https://github.com/realpython/python-scripts``, które różne, przydatne skrypty. Przejrzyj je i zobacz na ile jesteś w stanie zrozumieć co i jak robią. Uruchom kilka z nich, np. ``27_send_sms.py``.
|
||||
|
||||
**ćwiczenie 1**
|
||||
Każdy obiekt w Pythonie na wbudowaną funkcję ``id()``, która zwraca liczbę, która jest unikatowa i stała dla obiektu. Pozwala ona w prosty sposób sprawdzić, który obiekt jest *mutable*a, który *immutable*: jeżeli po wykonaniu operacji, zwracana liczba jest stała, to oznacza, że obiekt jest *mutable*. Sprawdź zachowanie funkcji na obiektach typy:
|
||||
* lista,
|
||||
* napis (string),
|
||||
* liczba zmiennoprzecinkowa.
|
||||
|
||||
**ćwiczenie 2**
|
||||
Napisz generator, który będzie zwracać ``n`` kolejnych liczb ciągu Fibonacciego (``F(0)=1, F(1)=1, FN=F(N-1) + F(N-2)``).
|
||||
|
||||
**ćwiczenie 3**
|
||||
Strona ``https://api.fixer.io/latest`` udostępnia kursy różnych walut w stosunku do euro. Napisz skrypt, który:
|
||||
* pobierze zawartość JSONa. Wykorzystaj bibliotekę ``requests`` (http://docs.python-requests.org/en/master/).
|
||||
* korzystając z biblioteki ``json`` przekształć go do obiketu typu JSON.
|
||||
* Wyświetl wartość kursu EUR do PLN.
|
||||
|
||||
**ćwiczenie 4**
|
||||
Zainstaluj bibliotekę ``weather-api`` (https://pypi.python.org/pypi/weather-api). Korzystając z niej:
|
||||
* Wypisz informacje o aktualnej pogodzie.
|
||||
* Napisz funkcję, która zamieni stopnie ``F`` na ``C``.
|
||||
* Korzystając z prognozy, znajdź dzień, w którym będzie najzimniej. Wypisz nazwę tygodnia (w języku polskim) i temperaturę w C.
|
||||
|
||||
**ćwiczenie 5**
|
||||
Katalog scores zawiera 64 pliki tekstowe, które posiadają informacje o wysokości miary ``BLEU`` na różnych etapach trenowania modelu. Nazwa każdego pliku na postać ``model.iterXXXXXXX.npz.bleu``, gdzie ``XXXXXXX``, to liczba iteracji.Zawartość każdego pliku jest podobna i ma następującą formę: *BLEU = YY.YY, 44.4/18.5/9.3/5.0 (BP=1.000, ratio=1.072, hyp_len=45976, ref_len=42903)*, gdzie ``YY.YY`` to wartość miary ``BLEU``. Znajdź plik, który zawiera najwyższą wartość miary ``BLEU``.
|
||||
* Wykorzystaj bibliotekę ``glob`` (https://docs.python.org/2/library/glob.html)
|
||||
* Wyświetl tylko pełną nazwe pliku (wraz z ścieżką).
|
||||
|
||||
|
||||
|
||||
|
||||
@ -1,2 +0,0 @@
|
||||
W Paryżu najlepsze kasztany są na placu Pigalle
|
||||
Zuzanna lubi je tylko jesienią.
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 2.02, 17.1/3.6/1.0/0.3 (BP=1.000, ratio=1.872, hyp_len=80326, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 13.99, 44.4/18.5/9.3/5.0 (BP=1.000, ratio=1.072, hyp_len=45976, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 14.35, 44.9/19.0/9.6/5.2 (BP=1.000, ratio=1.087, hyp_len=46657, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 15.75, 47.1/20.5/10.7/6.0 (BP=1.000, ratio=1.030, hyp_len=44211, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 15.96, 47.7/20.8/10.9/6.0 (BP=1.000, ratio=1.029, hyp_len=44160, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 15.42, 46.8/20.3/10.5/5.7 (BP=1.000, ratio=1.043, hyp_len=44729, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 15.84, 47.3/20.7/10.8/5.9 (BP=1.000, ratio=1.034, hyp_len=44374, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 15.99, 47.7/20.8/10.9/6.0 (BP=1.000, ratio=1.031, hyp_len=44233, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.15, 47.9/21.0/11.0/6.1 (BP=1.000, ratio=1.027, hyp_len=44065, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 15.86, 47.1/20.8/10.8/6.0 (BP=1.000, ratio=1.053, hyp_len=45191, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.07, 47.7/21.0/11.0/6.0 (BP=1.000, ratio=1.044, hyp_len=44795, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 5.87, 31.1/8.9/3.3/1.3 (BP=1.000, ratio=1.155, hyp_len=49533, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.82, 48.9/21.7/11.5/6.6 (BP=0.998, ratio=0.998, hyp_len=42837, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.70, 48.7/21.7/11.5/6.4 (BP=1.000, ratio=1.017, hyp_len=43622, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.85, 48.9/21.9/11.7/6.5 (BP=1.000, ratio=1.020, hyp_len=43777, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.59, 48.3/21.6/11.4/6.3 (BP=1.000, ratio=1.029, hyp_len=44127, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.94, 48.6/22.0/11.7/6.6 (BP=1.000, ratio=1.038, hyp_len=44517, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.52, 49.7/22.5/12.2/6.9 (BP=1.000, ratio=1.003, hyp_len=43053, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.82, 48.6/21.9/11.6/6.5 (BP=1.000, ratio=1.037, hyp_len=44475, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.16, 49.2/22.3/11.9/6.6 (BP=1.000, ratio=1.025, hyp_len=43965, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.92, 49.4/22.1/11.7/6.4 (BP=1.000, ratio=1.013, hyp_len=43453, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.20, 49.2/22.1/11.9/6.8 (BP=1.000, ratio=1.016, hyp_len=43578, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 8.17, 33.9/11.6/5.0/2.3 (BP=1.000, ratio=1.207, hyp_len=51768, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.31, 49.2/22.2/12.0/6.8 (BP=1.000, ratio=1.017, hyp_len=43642, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.57, 49.5/22.5/12.3/7.0 (BP=1.000, ratio=1.000, hyp_len=42900, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.68, 49.6/22.6/12.3/7.1 (BP=1.000, ratio=1.013, hyp_len=43465, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.02, 48.3/21.9/11.8/6.7 (BP=1.000, ratio=1.044, hyp_len=44801, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.51, 49.7/22.7/12.2/6.9 (BP=1.000, ratio=1.011, hyp_len=43368, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.68, 50.3/22.9/12.4/7.0 (BP=0.995, ratio=0.995, hyp_len=42702, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.43, 49.0/22.4/12.2/6.9 (BP=1.000, ratio=1.040, hyp_len=44629, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.16, 49.2/22.2/11.9/6.7 (BP=1.000, ratio=1.028, hyp_len=44085, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.04, 49.1/22.2/11.8/6.6 (BP=1.000, ratio=1.030, hyp_len=44200, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.77, 49.8/22.8/12.4/7.1 (BP=1.000, ratio=1.008, hyp_len=43258, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 8.55, 32.5/11.9/5.3/2.6 (BP=1.000, ratio=1.341, hyp_len=57542, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.96, 50.0/23.0/12.6/7.2 (BP=1.000, ratio=1.002, hyp_len=43009, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.66, 49.6/22.6/12.3/7.0 (BP=1.000, ratio=1.019, hyp_len=43697, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.93, 49.8/23.1/12.6/7.2 (BP=1.000, ratio=1.021, hyp_len=43824, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 16.55, 47.0/21.3/11.5/6.5 (BP=1.000, ratio=1.071, hyp_len=45947, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.59, 49.8/22.7/12.2/6.9 (BP=1.000, ratio=1.009, hyp_len=43301, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.41, 49.2/22.5/12.1/6.9 (BP=1.000, ratio=1.023, hyp_len=43894, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.52, 49.9/22.7/12.2/6.8 (BP=1.000, ratio=1.005, hyp_len=43127, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.30, 49.1/22.3/12.0/6.8 (BP=1.000, ratio=1.024, hyp_len=43917, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.21, 48.8/22.1/12.0/6.8 (BP=1.000, ratio=1.036, hyp_len=44454, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.79, 50.0/22.9/12.4/7.1 (BP=1.000, ratio=1.000, hyp_len=42891, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 11.03, 39.5/15.1/7.1/3.5 (BP=1.000, ratio=1.116, hyp_len=47860, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.25, 49.4/22.3/12.0/6.7 (BP=1.000, ratio=1.014, hyp_len=43517, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.78, 50.0/22.8/12.4/7.1 (BP=1.000, ratio=1.000, hyp_len=42890, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.68, 49.8/22.7/12.4/7.0 (BP=1.000, ratio=1.003, hyp_len=43021, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.31, 48.9/22.3/12.1/6.8 (BP=1.000, ratio=1.032, hyp_len=44262, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.92, 49.8/22.9/12.5/7.2 (BP=1.000, ratio=1.015, hyp_len=43562, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.84, 50.0/22.9/12.5/7.1 (BP=1.000, ratio=1.011, hyp_len=43389, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.75, 49.8/22.8/12.4/7.1 (BP=1.000, ratio=1.014, hyp_len=43494, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.94, 50.0/23.1/12.6/7.1 (BP=1.000, ratio=1.013, hyp_len=43442, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 18.12, 50.3/23.1/12.7/7.3 (BP=1.000, ratio=1.004, hyp_len=43077, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.29, 48.8/22.3/12.1/6.8 (BP=1.000, ratio=1.042, hyp_len=44688, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 11.92, 40.2/16.1/7.8/4.0 (BP=1.000, ratio=1.144, hyp_len=49071, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.46, 49.5/22.5/12.2/6.8 (BP=1.000, ratio=1.026, hyp_len=44035, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 18.19, 50.3/23.2/12.7/7.4 (BP=1.000, ratio=1.007, hyp_len=43221, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 17.84, 50.1/22.9/12.5/7.1 (BP=1.000, ratio=1.016, hyp_len=43604, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 18.30, 50.8/23.4/12.9/7.5 (BP=0.994, ratio=0.994, hyp_len=42632, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 0, 0/0/0/0 (BP=0, ratio=0, hyp_len=0, ref_len=0)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 12.77, 42.4/17.1/8.4/4.4 (BP=1.000, ratio=1.096, hyp_len=47008, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 14.43, 46.7/19.4/9.7/5.2 (BP=0.988, ratio=0.988, hyp_len=42376, ref_len=42903)
|
||||
@ -1 +0,0 @@
|
||||
BLEU = 13.85, 44.1/18.5/9.2/4.9 (BP=1.000, ratio=1.092, hyp_len=46859, ref_len=42903)
|
||||
@ -1,662 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Wprowadzenie do Pythona: Klasy\n",
|
||||
"\n",
|
||||
"## Tomasz Dwojak\n",
|
||||
"\n",
|
||||
"### 3 grudnia 2017"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Plan na dziś:\n",
|
||||
" * klasy,\n",
|
||||
" * wyjątki."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Python jest językiem obiektowym \n",
|
||||
" * Wszystko jest obiektem: liczby, napisy, None, funkcje, moduły (biblioteki)..."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"0\n",
|
||||
"Python da się lubić !\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print((2017).imag)\n",
|
||||
"print(' '.join(['Python', 'da', 'się', 'lubić', '!']))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Konstrukcja"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"<class '__main__.NajprostszaKlasa'>\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"class NajprostszaKlasa:\n",
|
||||
" pass\n",
|
||||
"\n",
|
||||
"nasza_klasa = NajprostszaKlasa() # Uwaga na nawiasy na końcu!\n",
|
||||
"print(type(nasza_klasa))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## (Pseudo) Konstruktor \n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"2\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"class Punkt:\n",
|
||||
" def __init__(self, x, y):\n",
|
||||
" self.x = x\n",
|
||||
" self.y = y\n",
|
||||
"\n",
|
||||
"punkt = Punkt(2, 3)\n",
|
||||
"print(punkt.x)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 25,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class Figura:\n",
|
||||
" def __init__(self, vertexes):\n",
|
||||
" self.vertexes = vertexes\n",
|
||||
" \n",
|
||||
" def liczba_wierzcholkow(self):\n",
|
||||
" return len(self.vertexes)\n",
|
||||
" \n",
|
||||
" def dodaj_wierzcholek(self, x):\n",
|
||||
" self.vertexes.append(x)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 26,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class Prostokat(Figura):\n",
|
||||
" def __init__(self, vertexes):\n",
|
||||
" super().__init__(vertexes)\n",
|
||||
" \n",
|
||||
" def czy_jestem_kwadratem(self):\n",
|
||||
" pass\n",
|
||||
" "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"3"
|
||||
]
|
||||
},
|
||||
"execution_count": 28,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"class Figura:\n",
|
||||
" def __init__(self, vertexes):\n",
|
||||
" self.vertexes = vertexes\n",
|
||||
" \n",
|
||||
" def liczba_wierzcholkow(self):\n",
|
||||
" return len(self.vertexes)\n",
|
||||
" \n",
|
||||
" def __len__(self):\n",
|
||||
" return self.liczba_wierzcholkow()\n",
|
||||
" \n",
|
||||
"len(Figura([Punkt(2,3), Punkt(3,4), Punkt(0, 0)]))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Dobre praktyki: komentarze"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class Punkt(object):\n",
|
||||
" \"\"\"Klasa reprezentująca punkt w 2D.\"\"\"\n",
|
||||
" def __init__(self, x, y):\n",
|
||||
" \"\"\"opis argumentów x i y.\"\"\"\n",
|
||||
" self.x = x\n",
|
||||
" self.y = y"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Help on class Punkt in module __main__:\n",
|
||||
"\n",
|
||||
"class Punkt(builtins.object)\n",
|
||||
" | Klasa reprezentująca punkt w 2D.\n",
|
||||
" | \n",
|
||||
" | Methods defined here:\n",
|
||||
" | \n",
|
||||
" | __init__(self, x, y)\n",
|
||||
" | opis argumentów x i y.\n",
|
||||
" | \n",
|
||||
" | ----------------------------------------------------------------------\n",
|
||||
" | Data descriptors defined here:\n",
|
||||
" | \n",
|
||||
" | __dict__\n",
|
||||
" | dictionary for instance variables (if defined)\n",
|
||||
" | \n",
|
||||
" | __weakref__\n",
|
||||
" | list of weak references to the object (if defined)\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"help(Punkt)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Enkapsulacja: publiczne czy prywatne?\n",
|
||||
" * Prywatne zaczynają się od dwóch podkreśleń: ``__``, np. ``def __policz(self)``\n",
|
||||
" * chronione tylko w konwencji, zaczynają się od '\\_', np. ``def _parse(self)``\n",
|
||||
" * publiczne jest wszystko co nie zaczyna się od '\\_'."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "AttributeError",
|
||||
"evalue": "'Parser' object has no attribute '__parse'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-6-80ee186598d3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mParser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__parse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[0;31mAttributeError\u001b[0m: 'Parser' object has no attribute '__parse'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"class Parser(object):\n",
|
||||
" def __parse(self): pass\n",
|
||||
" def _get(self): pass\n",
|
||||
"parser = Parser()\n",
|
||||
"parser._get()\n",
|
||||
"parser.__parse()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Iteratory"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"<__main__.Punkt object at 0x7f728015b358>\n",
|
||||
"<__main__.Punkt object at 0x7f728015b4a8>\n",
|
||||
"<__main__.Punkt object at 0x7f728015b438>\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"class Figura:\n",
|
||||
" def __init__(self, vertexes):\n",
|
||||
" self.vertexes = vertexes \n",
|
||||
" \n",
|
||||
" def __iter__(self):\n",
|
||||
" self.index = -1\n",
|
||||
" return self\n",
|
||||
" \n",
|
||||
" def __next__(self):\n",
|
||||
" self.index += 1\n",
|
||||
" if self.index == len(self.vertexes):\n",
|
||||
" raise StopIteration\n",
|
||||
" return self.vertexes[self.index]\n",
|
||||
" \n",
|
||||
"for v in Figura([Punkt(2,3), Punkt(3,4), Punkt(0, 0)]):\n",
|
||||
" print(v)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Atrybuty i metody statyczne"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"0\n",
|
||||
"0\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"class Klasa:\n",
|
||||
" atrybut = 0\n",
|
||||
"\n",
|
||||
"klasa = Klasa()\n",
|
||||
"print(Klasa.atrybut)\n",
|
||||
"print(klasa.atrybut)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 19,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Jestem statyczna!\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"class Klasa:\n",
|
||||
" def __init__(self):\n",
|
||||
" self.t = 0\n",
|
||||
" def metoda():\n",
|
||||
" print(\"Jestem statyczna!\")\n",
|
||||
"\n",
|
||||
"Klasa.metoda()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Wyjątki"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 20,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "FileNotFoundError",
|
||||
"evalue": "[Errno 2] No such file or directory: 'nieistniejący_plik.txt'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-20-41928d542bef>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"nieistniejący_plik.txt\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplik\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\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[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'nieistniejący_plik.txt'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"with open(\"nieistniejący_plik.txt\") as plik:\n",
|
||||
" content = plik.read()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"try:\n",
|
||||
" with open(\"nieistniejący_plik.txt\") as plik:\n",
|
||||
" content = plik.read()\n",
|
||||
"except FileNotFoundError:\n",
|
||||
" contenct = \"\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 27,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Warning [Errno 2] No such file or directory: 'nieistniejący_plik.txt'\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"try:\n",
|
||||
" with open(\"nieistniejący_plik.txt\") as plik:\n",
|
||||
" content = plik.read()\n",
|
||||
"except FileNotFoundError as e:\n",
|
||||
" print(\"Warning {}\".format(e))\n",
|
||||
" contenct = \"\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Warning [Errno 2] No such file or directory: 'nieistniejący_plik.txt'\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"try:\n",
|
||||
" with open(\"nieistniejący_plik.txt\") as plik:\n",
|
||||
" content = plik.read()\n",
|
||||
"except Exception as e:\n",
|
||||
" print(\"Warning {}\".format(e))\n",
|
||||
" contenct = \"\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"try:\n",
|
||||
" with open(\"nieistniejący_plik.txt\") as plik:\n",
|
||||
" content = plik.read()\n",
|
||||
"except:\n",
|
||||
" contenct = \"\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 30,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class Figura:\n",
|
||||
" def __init__(self, vertexes):\n",
|
||||
" if len(vertexes) == 0:\n",
|
||||
" raise Exception(\"Empty list of vertexes\")\n",
|
||||
" self.vertexes = vertexes"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 35,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"class MyError(Exception):\n",
|
||||
" def __init__(self, text):\n",
|
||||
" self.text = text\n",
|
||||
" def __str__(self):\n",
|
||||
" return self.text"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 36,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "MyError",
|
||||
"evalue": "Coś poszło nie tak!",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mMyError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-36-4fb306b42ebc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Coś poszło nie tak!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[0;31mMyError\u001b[0m: Coś poszło nie tak!"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"raise MyError(\"Coś poszło nie tak!\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"celltoolbar": "Slideshow",
|
||||
"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": "3.6.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
@ -1,18 +0,0 @@
|
||||
**ćwiczenie 1**
|
||||
Napisz funckję ``is_numeric``, która sprawdzi, czy każdy element z przekazanej listy jest typu int lub float. Wykorzystaj funcję ``isinstance()`` (https://docs.python.org/2/library/functions.html#isinstance).
|
||||
|
||||
**ćwiczenie 2**
|
||||
Napisz prostą hierarchię klas:
|
||||
* Klasa bazowa ``Employee``, która będzie zawierać informacje o imieniu i nazwisku pracownika. Ponadto każdy pracownik otrzyma numer ``id``, który będzie unikatowy. Wykorzystaj do tego atrybut statyczny. Napisz metodę ``get_id``, która zwraca identyfikator pracownika.
|
||||
* Klasy pochodna: ``Recruiter``, która ma dodatkową mtodę ``recruit``, która jako parament przyjmuje obiekt ``Employee`` i zapisuje jego ``id`` w liście ``self.recruited``.
|
||||
* Klasa pochodna ``Programmer``. Klasa ``Programmer`` ma przyjąć w konstruktorze podstawowe informacje (imię i nazwisko) oraz obiekt rekturera. Ponadto stwórz atrybut ``recruiter``, który będzie przechowywać ``id`` rekrutera.
|
||||
|
||||
**ćwiczenie 3 (zadanie domowe) **
|
||||
Stwórz klasę ``Point``, która będzie reprezentować punkt w przestrzeni wielowymiarowej:
|
||||
* Konstruktor ma przyjąc tylko 1 parametr: listę współrzednych. Wykorzystaj funkcję z pierwszego zadania, żeby sprawdzić, czy lista zawiera wyłącznie liczby.
|
||||
* Napisz metodę add, która dida dwa punkty po współrzędnych i zwróci obiekt typu ``Punkt``. Zaimplementuj własny wyjątek ``DimensionError``, który zostaje wyrzucony, jeżeli dodawany punkt ma inny wymiar.
|
||||
* Napisz metodę ``to\_string``, która zwróci łancuch znakowy, który w czytelny sposób przedstawi punkt.
|
||||
* Napisz metodę __len__, która zwróci liczbę współrzędnych punktu. Zobacz, czy możesz teraz wywołać funkcję len na obiekcie typy punkt.
|
||||
* Napisz metodę __str__, która bedzie działać dokładnie tak samo jak metoda ``to_string``. Wyświetl obiekt typy Point korzystając z funkcji print.
|
||||
|
||||
|
||||
@ -1,3 +0,0 @@
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
@ -1,3 +0,0 @@
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
@ -1,3 +0,0 @@
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
@ -1,297 +0,0 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Python: część 3\n",
|
||||
"\n",
|
||||
"## Tomasz Dwojak\n",
|
||||
"\n",
|
||||
"### 16 grudnia 2017"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Co już było?\n",
|
||||
" * podstawowe typy i struktury danych\n",
|
||||
" * funkcje\n",
|
||||
" * biblioteki\n",
|
||||
" * klasy\n",
|
||||
" * praca z plikami\n",
|
||||
" * wyjątki"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Co na dziś?\n",
|
||||
" * Dzielenie kodu na pliki\n",
|
||||
" * Podstawy analizy danych: Pandas"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Dzielenie kodu\n",
|
||||
"\n",
|
||||
" * Zwiększenie jakości kodu\n",
|
||||
" * Napisz raz i korzystaj w wielu sytuacjach\n",
|
||||
" * Tworzenie własnej biblioteki"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Dzielenie kodu - podsumowanie\n",
|
||||
" * import\n",
|
||||
" * ``if __name__ == '__main__'``\n",
|
||||
" * Pakiety i pliki ``__init__.py``\n",
|
||||
" * zmienna PYTHONPATH i ``sys.path``"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Interpreter Pythona"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"# Jupyter notebook"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Argumenty do programu\n",
|
||||
"\n",
|
||||
" * czy potrzebujemy pyCharm żeby uruchomić prosty skrypt?"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"### sys.argv\n",
|
||||
" * zawiera liste wszystkich argumentów\n",
|
||||
" * pierwszy element zawiera nazwe pliku"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"['/usr/lib/python2.7/site-packages/ipykernel/__main__.py', '-f', '/run/user/1000/jupyter/kernel-7efdb6ca-75d5-474e-90c4-fda3dadc3282.json']\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import sys\n",
|
||||
"print(sys.argv)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"### Biblioteka argparse"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "fragment"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import argparse\n",
|
||||
"parser = argparse.ArgumentParser()\n",
|
||||
"parser.parse_args()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"parser = argparse.ArgumentParser()\n",
|
||||
"parser.add_argument(\"number\", help=\"Opis\")\n",
|
||||
"args = parser.parse_args()\n",
|
||||
"print(args.number)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"parser = argparse.ArgumentParser()\n",
|
||||
"parser.add_argument(\"number\", help=\"Opis\", nargs=\"+\")\n",
|
||||
"args = parser.parse_args()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"parser = argparse.ArgumentParser()\n",
|
||||
"parser.add_argument(\"--verbosity\", help=\"increase output verbosity\")\n",
|
||||
"args = parser.parse_args()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"parser = argparse.ArgumentParser()\n",
|
||||
"parser.add_argument(\"--verbose\", help=\"increase output verbosity\",\n",
|
||||
" action=\"store_true\")\n",
|
||||
"args = parser.parse_args()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"parser = argparse.ArgumentParser()\n",
|
||||
"parser.add_argument(\"-v\", \"--verbose\", help=\"increase output verbosity\",\n",
|
||||
" action=\"store_true\")\n",
|
||||
"args = parser.parse_args()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": true,
|
||||
"slideshow": {
|
||||
"slide_type": "slide"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"parser = argparse.ArgumentParser()\n",
|
||||
"parser.add_argument(\"-v\", \"--verbose\", help=\"increase output verbosity\",\n",
|
||||
" action=\"store_true\")\n",
|
||||
"parser.add_argument(\"number\", help=\"Opis\", nargs=\"+\")\n",
|
||||
"args = parser.parse_args()"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"celltoolbar": "Slideshow",
|
||||
"kernelspec": {
|
||||
"display_name": "Python 2",
|
||||
"language": "python2",
|
||||
"name": "python2"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 2
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython2",
|
||||
"version": "2.7.14"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
@ -1,20 +0,0 @@
|
||||
** zad. 0 **
|
||||
Napisz funkcję ``suma``, która przyjmnie jeden argument: listę liczb i zwróci ich sumę.
|
||||
|
||||
** zad. 1 **
|
||||
Zaimportuj z zadania 0 fukcje ``suma``. Korzystając z tej fukcji i tablicy ``sys.argv`` oblicz i wyświetl sumę argumentów, jakie zostały przekazane do proramu. Załóź, że argumentami do programu będą tylko liczby zmiennoprzecinkowe.
|
||||
|
||||
** zad. 2 **
|
||||
Uodpornoj program z zad. 1 w następujący sposób: do programu mogą zostać przekazane argumenty, które nie mają wartości liczbowej (przyjmijmy, że ich wartość to 0). Skorzystaj z mechanizmu wyjątków: złap wyjątek, jeżeli argumenty nie da się skonwertować na liczbę zmiennoprzecinkową.
|
||||
|
||||
** zad. 3 **
|
||||
Przekształć rozwiązanie zadania drugiego w taki sposob, żeby korzystało z biblioteki ``argparse`` zamiast z z listy ``sys.argv``.
|
||||
|
||||
** zad. 4 (Domowe) **
|
||||
Plik ``task04.py`` zawiera kod prorgamu, który działa jak popularne narzędzie unixowe ``wc`` (Word Counter): zlicza liczbę linii, wyrazów i znaków. Aktualnie program potrafi działać wyłącznie na wejściu podanym z klawiatury. Dodaj do niego opcje programu:
|
||||
* domyślnie program ma zliczać na wejściu z klawiatury (stdin) i wyświetlać wszystkie 3 liczby.
|
||||
* Jeżeli został podany przełącznik `-l`, to to ma zostać zwrócona tylko liczba linii.
|
||||
* Jeżeli został podany przełącznik `-w`, to to ma zostać zwrócona tylko liczba słów.
|
||||
* Jeżeli został podany przełącznik `-c`, to to ma zostać zwrócona tylko liczba znaków.
|
||||
* Jeżeli został podany inny argument, to należy założyć że jest to nazwa pliku i potraktować ten plik jako wejście do programu.
|
||||
|
||||
@ -1,29 +0,0 @@
|
||||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.parse_args()
|
||||
|
||||
# parser = argparse.ArgumentParser()
|
||||
# parser.add_argument("number", help="Opis")
|
||||
# args = parser.parse_args()
|
||||
|
||||
# parser = argparse.ArgumentParser()
|
||||
# parser.add_argument("number", help="Opis", nargs="+")
|
||||
# args = parser.parse_args()
|
||||
|
||||
# parser = argparse.ArgumentParser()
|
||||
# parser.add_argument("--verbosity", help="increase output verbosity")
|
||||
# args = parser.parse_args()
|
||||
|
||||
|
||||
# parser = argparse.ArgumentParser()
|
||||
# parser.add_argument("--verbose", help="increase output verbosity",
|
||||
# action="store_true")
|
||||
# args = parser.parse_args()
|
||||
|
||||
|
||||
# parser = argparse.ArgumentParser()
|
||||
# parser.add_argument("-v", "--verbose", help="increase output verbosity",
|
||||
# action="store_true")
|
||||
# parser.add_argument("number", help="Opis", nargs="+")
|
||||
# args = parser.parse_args()
|
||||
@ -1,11 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
def greetings():
|
||||
print("Pozdrowienia!!!")
|
||||
|
||||
print("SPAM " * 6)
|
||||
print(__name__)
|
||||
|
||||
if __name__ == '__main__':
|
||||
print("Jestem głównym plikiem!")
|
||||
@ -1,18 +0,0 @@
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import lib
|
||||
import tools.fib
|
||||
|
||||
import sys
|
||||
|
||||
# sys.path.append("..")
|
||||
# import labs02.task01
|
||||
|
||||
def main():
|
||||
print("Hello World")
|
||||
lib.greetings()
|
||||
print(tools.fib.non_reccurent_fibonacci(50))
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@ -1,11 +0,0 @@
|
||||
#!/usr/bin/env python2
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
def suma(liczby):
|
||||
pass
|
||||
|
||||
def main():
|
||||
print(summa([1, 2, 3, 4]))
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@ -1,39 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
"""
|
||||
Implementacja narzedzia ``wc`` z linuksa (word counter).
|
||||
Zwraca liczbę słów, znaków i linii.
|
||||
"""
|
||||
|
||||
import sys
|
||||
|
||||
|
||||
def count_lines(text):
|
||||
""" return number of lines. """
|
||||
return len(text.strip().split('\n'))
|
||||
|
||||
def count_words(text):
|
||||
""" return number of words. """
|
||||
return sum([len([1 for word in line.split(' ') if len(word)])
|
||||
for line in text.split('\n')])
|
||||
|
||||
def count_chars(text):
|
||||
""" return number of words. """
|
||||
return len(text)
|
||||
|
||||
def wc(text):
|
||||
""" proper wc """
|
||||
lines = count_lines(text)
|
||||
words = count_words(text)
|
||||
chars = count_chars(text)
|
||||
return lines, words, chars
|
||||
|
||||
|
||||
def main():
|
||||
""" main """
|
||||
print(wc(sys.stdin.read()))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@ -1,38 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
"""
|
||||
Obliczenie n-tego wyrazu ciągu fibonacciego na dwa sposoby.
|
||||
1. Naiwna rekurencja: podstawienie do wzoru.
|
||||
2. Wersja z cachem: każdy wyraz jest obliczany dokładnie raz.
|
||||
"""
|
||||
|
||||
def naive_fibonacci(n):
|
||||
if n <= 0:
|
||||
return 0
|
||||
if n in [1,2]:
|
||||
return 1
|
||||
return naive_fibonacci(n-1) + naive_fibonacci(n-2)
|
||||
|
||||
|
||||
def cache_fibonacci(n, cache=None):
|
||||
if cache is None:
|
||||
cache = [None for i in range(n+1)]
|
||||
cache[0] = 0
|
||||
cache[1] = cache[2] = 1
|
||||
return cache_fibonacci(n, cache)
|
||||
else:
|
||||
if cache[n] is not None:
|
||||
return cache[n]
|
||||
else:
|
||||
cache[n] = cache_fibonacci(n-1, cache) + cache_fibonacci(n-2, cache)
|
||||
return cache[n]
|
||||
|
||||
def non_reccurent_fibonacci(n):
|
||||
cache = [None for i in range(n+1)]
|
||||
cache[0] = 0
|
||||
cache[1] = cache[2] = 1
|
||||
for i in range(2, n + 1):
|
||||
cache[i] = cache[i-1] + cache[i-2]
|
||||
return cache[n]
|
||||
|
||||
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Loading…
Reference in New Issue
Block a user