Poprawione ćw 3

# Conflicts:
#	labs02/test_task.py

.idea/Python2017.iml

@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+  <component name="TestRunnerService">
+    <option name="PROJECT_TEST_RUNNER" value="Unittests" />
+  </component>
+</module>

.idea/misc.xml

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.6.2 (C:\software\python3\python.exe)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/Python2017.iml" filepath="$PROJECT_DIR$/.idea/Python2017.iml" />
+    </modules>
+  </component>
+</project>

labs02/task01.py

@@ -7,8 +7,9 @@ która zawiera tylko elementy z list o parzystych indeksach.
 """
 
 def even_elements(lista):
-    pass
+    return lista[::2]
 
+print(even_elements([1,2,3,4]))
 
 def tests(f):
     inputs = [[[1, 2, 3, 4, 5, 6]], [[]], [[41]]]
@@ -23,3 +24,5 @@ def tests(f):
 
 if __name__ == "__main__":
     print(tests(even_elements))
+
+

labs02/task02.py

@@ -6,7 +6,13 @@
 """
 
 def days_in_year(days):
-    pass
+    if (days % 4 == 0 and days % 100 != 0) or days % 400 == 0:
+        return 366
+    else:
+        return 365
+
+
+print("dni:",days_in_year(2000))
 
 def tests(f):
     inputs = [[2015], [2012], [1900], [2400], [1977]]

labs02/task03.py

@@ -10,11 +10,21 @@ znakowy i lista łańuchów znakowych. Wszystkie wyrazy należy zmienić na mał
 litery. (OOV = out of vocabulary) (W pythonie istnieje struktura danych tak
 jak 'set', która przechowuje elementy bez powtórzeń.)
 """
-
+"""
-
+a = []
+text = "dom dla lalek"
+a = text.split(' ')
+print(a[1])
+"""
 def oov(text,vocab):
-    pass
+    b = set()
+    a = text.split(' ')
+    for wyr in a:
+        if wyr not in vocab:
+            b.add(wyr)
+    return b
 
+print(oov("Dom dla kasia", "lalek dom"))
 
 
 def tests(f):

labs02/task04.py

@@ -7,7 +7,15 @@ Jeśli podany argument jest mniejszy od 1 powinna być zwracana wartość 0.
 """
 
 def sum_from_one_to_n(n):
-    pass
+    sum=0
+    if n < 1:
+        return 0
+    else:
+        for i in range(n+1):
+            sum+=i
+    return sum
+
+
 
 
 def tests(f):

labs02/task05.py

@@ -10,7 +10,11 @@ np. odległość pomiędzy punktami (0, 0, 0) i (3, 4, 0) jest równa 5.
 """
 
 def euclidean_distance(x, y):
-    pass
+    if len(x)!=len(y):
+        return 'Error'
+    else:
+        return ((x[0]-y[0])**2+(x[1]-y[1])**2+(x[2]-y[2])**2)**(1/2)
+
 
 def tests(f):
     inputs = [[(2.3, 4.3, -7.5), (2.3, 8.5, -7.5)]]

labs02/task06.py

@@ -10,7 +10,13 @@ ma być zwracany napis "It's not a Big 'No!'".
 """
 
 def big_no(n):
-    pass
+    if (n<5):
+        return "It's not a Big 'No!'"
+    else:
+        S="N"
+        for i in range(n):
+            S+="O"
+        return S+"!"
 
 def tests(f):
     inputs = [[5], [6], [2]]

labs02/task07.py

@@ -6,7 +6,7 @@ Napisz funkcję char_sum, która dla zadanego łańcucha zwraca
 sumę kodów ASCII znaków.
 """
 def char_sum(text):
-    pass
+    return sum(ord(i) for i in text)
 
 def tests(f):
     inputs = [["this is a string"], ["this is another string"]]

labs02/task08.py

@@ -7,7 +7,12 @@ przez 3 lub 5 mniejszych niż n.
 """
 
 def sum_div35(n):
-    pass
+    sum=0
+    for i in range(n):
+        if (i%5==0) or (i%3==0):
+             sum+=i
+    return sum
+
 
 def tests(f):
     inputs = [[10], [100], [3845]]

labs02/task09.py

@@ -9,7 +9,15 @@ Np. leet('leet') powinno zwrócić '1337'.
 
 
 def leet_speak(text):
-    pass
+    tekst=""
+    slownik = {"e": "3", "l": "1", "o": "0", "t":"7"}
+    for i in text:
+        if i in slownik:
+            tekst+=slownik[i]
+        else:
+            tekst+=i
+    return tekst
+
 
 
 def tests(f):

labs02/task10.py

@@ -9,7 +9,14 @@ na wielką. Np. pokemon_speak('pokemon') powinno zwrócić 'PoKeMoN'.
 
 
 def pokemon_speak(text):
-    pass
+    s=""
+    for i in range(len(text)):
+        if (i%2==0):
+            s+=text[i].upper()
+        else:
+            s+=text[i]
+    return s
+
 
 
 def tests(f):

labs02/task11.py

@@ -9,8 +9,11 @@ Oba napisy będą składać się wyłacznie z małych liter.
 """
 
 def common_chars(string1, string2):
-    pass
+    b =[]
-
+    for i in sorted(string1):
+        if (i in sorted(string2)) and i!=" " and i not in b:
+            b.append(i)
+    return b
 
 def tests(f):
     inputs = [["this is a string", "ala ma kota"]]

labs02/test_task.py

@@ -1,21 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-
-
-def suma(a, b):
-    """
-    Napisz funkcję, która zwraca sumę elementów.
-    """
-    return a + b
-
-def tests(f):
-    inputs = [(2, 3), (0, 0), (1, 1)]
-    outputs = [5, 0, 2]
-
-    for input, output in zip(inputs, outputs):
-        if f(*input) != output:
-            return "ERROR: {}!={}".format(f(*input), output)
-            break
-    return "TESTS PASSED"
-
-print(tests(suma))

labs03/Podstawy 2.ipynb

@@ -49,34 +49,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2\n",
-      "[1, 2, 3, 1, 2, 3]\n",
-      "123\n"
-     ]
-    }
-   ],
    "source": [
-    "def dwojak(x): \n",
+    "def dwojak(x): x *= 2\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",
+    "\n",
     "print(l)\n",
     "print(s)"
    ]
@@ -116,28 +104,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
-   "outputs": [
+   "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",
+    "def dwojak2(x): x = x * 2\n",
-    "    x = x * 2\n",
-    "    print(\"F:\", x)\n",
     "\n",
     "l = [1,2, 3]\n",
     "dwojak1(l)\n",
@@ -150,47 +126,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
-   "outputs": [
+   "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 = l\n",
     "e.append(4)\n",
-    "print(l)\n",
+    "print(l)"
-    "print(e)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[[1], [1], [1]]\n"
-     ]
-    }
-   ],
    "source": [
     "e = []\n",
     "f = [e for i in range(3)]\n",
@@ -214,39 +172,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
-   "outputs": [
+   "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, \"napis\", None)\n",
-    "t[-1].append(0)\n",
+    "elem = t[0]\n",
     "print(t)\n",
-    "print(len(t))\n",
+    "print(len(t))"
-    "print({t: None})"
    ]
   },
   {
@@ -262,29 +199,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
-   "outputs": [
+   "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",
+    "def greet_me(**kwargs):\n",
     "    if kwargs is not None:\n",
     "        for key, value in kwargs.items():\n",
     "            print(\"%s == %s\" %(key,value))\n",
@@ -304,32 +231,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
-   "outputs": [
+   "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",
@@ -349,74 +260,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
-   "outputs": [
+   "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,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
-   "outputs": [
+   "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())"
+    "# print(plik.read())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": null,
    "metadata": {
     "collapsed": true,
     "slideshow": {
@@ -457,22 +334,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "posix\n",
-      "Nazwa uzytkownika: tomaszd\n"
-     ]
-    }
-   ],
    "source": [
     "import os\n",
     "print(os.name)\n",
@@ -483,31 +351,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
-   "outputs": [
+   "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",
@@ -544,23 +394,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "fragment"
     }
    },
-   "outputs": [
+   "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))"

labs03/README.md

@@ -27,7 +27,10 @@ Zainstaluj bibliotekę ``weather-api`` (https://pypi.python.org/pypi/weather-api
  * 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``.
+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).
 

labs03/task01.py

@@ -0,0 +1,3 @@
+print(id([3,5]))
+print(id('kot'))
+print(id((1/3)))

labs03/task02.py

@@ -0,0 +1,11 @@
+def Fib(n):
+    a, b = 0, 1
+    for _ in range(n):
+        yield a
+        a, b = b, a + b
+
+for c in Fib(7):
+    print(c)
+
+##(``F(0)=1, F(1)=1, FN=F(N-1) + F(N-2)``).
+

labs03/task03.py

@@ -0,0 +1,5 @@
+# pip install --user requests
+import requests
+r = requests.get('https://api.fixer.io/latest', auth=('user', 'pass'))
+jkursy=r.json()
+print("EUR:PLN "+str(jkursy['rates']['PLN']))

labs03/task04.py

@@ -0,0 +1,20 @@
+#pip install --user weather-api
+from datetime import datetime
+from weather import Weather
+weather=Weather()
+city="Poznan"
+weather_city=weather.lookup_by_location(city)
+print("Aktualna pogoda in "+city+" :", weather_city.condition().text())
+
+def ftoC(t):
+    return round(5/9 * (t-32),3)
+
+daymap={0:"Poniedziałek",1:"Wtorek",2:"Środa",3:"Czwartek",4:"Piątek",5:"Sobota",6:"Niedziela"}
+tmin=[]
+dates=[]
+for item in weather_city.forecast():
+    dates.append(item.date())
+    tmin.append(ftoC(int(item.low())))
+
+
+print("Minimana temperatura w dniach "+dates[0]+" - " + dates[-1]+ " to " + str(min(tmin)) +"C przewidywana na dzień "+ dates[tmin.index(min(tmin))] + " ("+daymap[datetime.strptime(dates[tmin.index(min(tmin))],'%d %b %Y').weekday()]+").")

labs03/task05.py

@@ -0,0 +1,8 @@
+import glob,json
+bleu={}
+name=""
+for i in glob.glob('scores/*'):
+    file=open(i,'r').read().replace(",","").split(" ")
+    bleu[i]=float(file[2])
+
+print("Maksymalna wartość BLEU znaleziona w pliku: " +max(bleu, key=bleu.get))

labs04/Klasy.ipynb

@@ -309,13 +309,13 @@
     {
      "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'"
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [
@@ -465,13 +465,13 @@
     {
      "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'"
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [
@@ -614,13 +614,13 @@
     {
      "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!"
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [

labs04/task01.py

@@ -1,3 +1,8 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
+def is_numeric(lista):
+    for x in lista:
+        if not(isinstance(x,float)) and not(isinstance(x,int)):
+            return False
+    return True

labs04/task02.py

@@ -1,3 +1,37 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
+class Employee:
+    id=0
+    def __init__(self, imie, nazwisko):
+        self.imie= imie
+        self.nazwisko=nazwisko
+        self.id=id(self)
+
+    def get_id(self):
+        return self.id
+
+class Recruiter(Employee):
+    recruited=[]
+    def __init__(self, imie, nazwisko):
+        super().__init__(imie,nazwisko)
+
+    def recruit(self, empId):
+        self.recruited.append(empId)
+
+
+
+class Programmer(Employee):
+    def __init__(self, imie, nazwisko, rekruter):
+        super().__init__(imie,nazwisko)
+        self.recruiter=rekruter.get_id()
+
+
+
+prac1=Employee('Anna', 'Nowak')
+prac2=Recruiter('Jan', 'Kowalski')
+prac3=Programmer('Ala', 'Makota',prac2)
+
+print(prac1.get_id())
+print(prac2.get_id())
+print(prac3.get_id(), "Zrekrutowany przez ",prac3.recruiter)

labs04/task03.py

@@ -1,3 +1,41 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
+from task01 import *
+
+class DimensionError(Exception):
+    def __init__(self, text):
+        self.text = text
+    def __str__(self):
+        return self.text
+
+class Point:
+
+    def __init__(self, wspolrzedne):
+        if (is_numeric(wspolrzedne)):
+            self.wspolrzedne=wspolrzedne
+        else:
+            raise Exception("Non numerical coords")
+    def __len__(self):
+        return len(self.wspolrzedne)
+    def __str__(self):
+        return(str(self.wspolrzedne))
+    def to_string(self):
+        return str(self.wspolrzedne)
+    def __add__(self, other):
+        if len(self.wspolrzedne)!=len(other.wspolrzedne):
+            raise DimensionError("Elements have different dimensions!!1")
+        else:
+            return [i+j for (i,j) in zip(self.wspolrzedne,other.wspolrzedne)]
+
+
+
+pt=Point([1,2])
+print(len(pt))
+print(str(pt))
+print(pt.to_string())
+pt2=Point([7,99])
+print(pt+pt2)
+pt3=Point([1,2,3])
+print(pt+pt3)
+

labs06/task02.py

@@ -1,14 +1,18 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
-
+import pandas as pd
 def wczytaj_dane():
-    pass
+    mieszkania = pd.read_csv('mieszkania.csv',  # ścieżka  do pliku
+                            sep=',',  # separator
+                            encoding='UTF-8',
+                            usecols=[0,1,2,3,4,5,6])
+    return mieszkania
 
 def most_common_room_number(dane):
-    pass
+    return dane.mode(numeric_only =True)["Rooms"][0]
 
 def cheapest_flats(dane, n):
-    pass
+    return dane.sort_values("Expected")[:n]
 
 def find_borough(desc):
     dzielnice = ['Stare Miasto',
@@ -19,36 +23,41 @@ def find_borough(desc):
                  'Winogrady',
                  'Miłostowo',
                  'Dębiec']
-    pass
+    inputList=desc.split(' ')
+    for i in inputList:
+        if i in dzielnice:
+            return i
+            break
+    return "Inne"
 
 
 def add_borough(dane):
-    pass
+    newcol=dane["Location"].apply(find_borough)
+    dane["Borough"]=newcol
+    return dane
 
 def write_plot(dane, filename):
-    pass
+    bar=dane["Borough"].value_counts().plot(kind="bar", figsize=(6,6))
+    fig=bar.get_figure()
+    fig.savefig(filename)
 
 def mean_price(dane, room_number):
-    pass
+    return dane[dane["Rooms"]==room_number]["Expected"].mean()
 
 def find_13(dane):
-    pass
+    return dane[dane["Floor"]==13]["Borough"].unique()
 
 def find_best_flats(dane):
-    pass
+    return dane[(dane["Borough"]=="Winogrady") & (dane["Floor"]==1) & (dane["Rooms"]==3)]
 
 def main():
     dane = wczytaj_dane()
     print(dane[:5])
-
     print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}"
           .format(most_common_room_number(dane)))
-
     print("{} to najłądniejsza dzielnica w Poznaniu."
-          .format(find_borough("Grunwald i Jeżyce"))))
+          .format(find_borough("Grunwald i Jeżyce")))
-
     print("Średnia cena mieszkania 3-pokojowego, to: {}"
           .format(mean_price(dane, 3)))
-
 if __name__ == "__main__":
     main()