Final updates

homeworks/results.md

@@ -1,24 +1,38 @@
-ID       |  labs02:task07  |  labs02:task08  |  labs02:task09  |  labs02:task10  |  labs02:task11
+ID       |  labs02:task07  |  labs02:task08  |  labs02:task09  |  labs02:task10  |  labs02:task11  |  labs03  |  labs04  |  labs06  | Punkty | Ocena |
----------|-----------------|-----------------|-----------------|-----------------|---------------
+---------|-----------------|-----------------|-----------------|-----------------|-----------------|----------|----------|----------|--------|-------|
-s45168   |  0              |  0              |  0              |  0              |  0
+s45146   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45162   |  1              |  1              |  1              |  1              |  1
+s45147   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45158   |  1              |  1              |  0              |  0              |  1
+s45148   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-szwedek  |  1              |  1              |  1              |  1              |  1
+s45150   |  1              |  1              |  1              |  1              |  1              |  2       |  1       |  8       |  16    | 4     |
-s45155   |  1              |  1              |  1              |  1              |  1
+s45151   |  1              |  1              |  1              |  1              |  1              |  0       |  5       |  8       |  18    | 4.5   |
-s45152   |  1              |  1              |  1              |  0              |  1
+s45152   |  1              |  1              |  1              |  0              |  1              |  0       |  5       |  8       |  17    | 4     |
-s45148   |  1              |  1              |  1              |  1              |  1
+s45153   |  0              |  1              |  1              |  1              |  1              |  4       |  0       |  8       |  16    | 4     |
-s45166   |  1              |  1              |  1              |  1              |  1
+s45155   |  1              |  1              |  1              |  1              |  1              |  1       |  5       |  8       |  19    | 4.5   |
-s45151   |  1              |  1              |  1              |  1              |  1
+s45156   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45146   |  1              |  1              |  1              |  1              |  1
+s45157   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
-s45150   |  1              |  1              |  1              |  1              |  1
+s45158   |  1              |  1              |  0              |  0              |  1              |  4       |  5       |  8       |  19    | 4.5   |
-s45452   |  1              |  1              |  1              |  1              |  1
+s45159   |  1              |  1              |  1              |  1              |  1              |  2       |  3       |  8       |  18    | 4.5   |
-s45165   |  1              |  1              |  1              |  1              |  1
+s45160   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
-s45160   |  1              |  1              |  1              |  1              |  1
+s45161   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45153   |  0              |  0              |  0              |  0              |  0
+s45162   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45156   |  1              |  1              |  1              |  1              |  1
+s45163   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
-s45157   |  0              |  0              |  1              |  1              |  1
+s45164   |  1              |  1              |  0              |  1              |  0              |  0       |  5       |  8       |  16    | 4     |
-s45167   |  1              |  1              |  1              |  1              |  1
+s45165   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45147   |  1              |  0              |  0              |  1              |  0
+s45166   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45159   |  0              |  0              |  0              |  0              |  0
+s45167   |  1              |  1              |  1              |  1              |  1              |  0       |  5       |  8       |  17    | 4     |
-s45161   |  1              |  1              |  1              |  1              |  1
+s45168   |  0              |  0              |  0              |  0              |  0              |  0       |  0       |  0       |   0    | 2     |
-s45164   |  1              |  1              |  0              |  1              |  0
+s45452   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
+szwedek  |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  10      |  24    | 5     |
+
+Skala:
+
+Punkty | Ocena |
+-------|-------|
+24-20  |   5   |
+19-18  | 4.5   |
+17-16  |   4   |
+15-13  |   3   |
+12-0   |   2   |
+
+
+Max: 22

labs02/task01.py

@@ -7,7 +7,7 @@ która zawiera tylko elementy z list o parzystych indeksach.
 """
 
 def even_elements(lista):
-    return lista[::2]
+    pass
 
 
 def tests(f):

labs02/task02.py

@@ -5,14 +5,9 @@
  Napisz funkcję days_in_year zwracającą liczbę dni w roku (365 albo 366).
 """
 
-def days_in_year(year):
+def days_in_year(days):
-    if year % 4 == 0:
+    pass
-        if year % 100 > 0 or year % 400 == 0:
+
-            return 366
-        else:
-            return 365
-    else:
-        return 365
 def tests(f):
     inputs = [[2015], [2012], [1900], [2400], [1977]]
     outputs = [365, 366, 365, 366, 365]

labs02/task03.py

@@ -13,12 +13,8 @@ jak 'set', która przechowuje elementy bez powtórzeń.)
 
 
 def oov(text, vocab):
-    VerifiedList = []
+    pass
-    TextList = text.split(' ')
+
-    for TextListElement in TextList:
-        if TextListElement not in vocab:
-            VerifiedList.append(TextListElement)
-    return VerifiedList
 
 
 def tests(f):

labs02/task04.py

@@ -7,16 +7,8 @@ Jeśli podany argument jest mniejszy od 1 powinna być zwracana wartość 0.
 """
 
 def sum_from_one_to_n(n):
-    ResultList = []
+    pass
-    if n <1:
+
-        #ResultList.append(0)
-        SumResult = 0
-    else:
-        SumResult = 0
-        for i in range(n+1):
-            SumResult = SumResult + i
-        #ResultList.append(SumResult)
-    return SumResult
 
 def tests(f):
     inputs = [[999], [-100]]

labs02/task05.py

@@ -10,12 +10,7 @@ np. odległość pomiędzy punktami (0, 0, 0) i (3, 4, 0) jest równa 5.
 """
 
 def euclidean_distance(x, y):
-    l = [x,y]
+    pass
-    edl = []
-    for c1 in range(3):
-        edl.append(l[0][c1] - l[1][c1])
-    edl2 = [i**2 for i in edl]
-    return ( sum(edl2) ) ** 0.5
 
 def tests(f):
     inputs = [[(2.3, 4.3, -7.5), (2.3, 8.5, -7.5)]]

labs02/task06.py

@@ -10,14 +10,7 @@ ma być zwracany napis "It's not a Big 'No!'".
 """
 
 def big_no(n):
-    if n < 5:
+    pass
-        res = "It's not a Big 'No!'"
-    else:
-        ol = ""
-        for i in range(n):
-            ol += "O"
-        res = "N" + ol + "!"
-    return(res)
 
 def tests(f):
     inputs = [[5], [6], [2]]

labs02/task07.py

@@ -6,10 +6,7 @@ Napisz funkcję char_sum, która dla zadanego łańcucha zwraca
 sumę kodów ASCII znaków.
 """
 def char_sum(text):
-    res = 0
+    pass
-    for i in text:
-        res += ord(i)
-    return res
 
 def tests(f):
     inputs = [["this is a string"], ["this is another string"]]

labs02/task08.py

@@ -7,11 +7,7 @@ przez 3 lub 5 mniejszych niż n.
 """
 
 def sum_div35(n):
-    res = 0
+    pass
-    for i in range(n):
-        if i % 3 == 0 or i % 5 == 0:
-            res += i
-    return res
 
 def tests(f):
     inputs = [[10], [100], [3845]]

labs02/task09.py

@@ -9,12 +9,7 @@ Np. leet('leet') powinno zwrócić '1337'.
 
 
 def leet_speak(text):
-    text1=text
+    pass
-    text1=text1.replace("e","3")
-    text1=text1.replace("l","1")
-    text1=text1.replace("o","0")
-    text1=text1.replace("t","7")
-    return text1
 
 
 def tests(f):

labs02/task10.py

@@ -9,15 +9,8 @@ na wielką. Np. pokemon_speak('pokemon') powinno zwrócić 'PoKeMoN'.
 
 
 def pokemon_speak(text):
-    res = ""
+    pass
-    c = 1
+
-    for i in text:
-        if c%2 == 0:
-            res += i
-        else:
-            res += i.upper()
-        c += 1
-    return res
 
 def tests(f):
     inputs = [['pokemon'], ['do not want'], ['POKEMON']]

labs02/task11.py

@@ -9,18 +9,7 @@ Oba napisy będą składać się wyłacznie z małych liter.
 """
 
 def common_chars(string1, string2):
-    sl = []
+    pass
-    for i in string1:
-        for j in string2:
-            if i==j:
-                sl.append(i)
-    sly = [x for x in sl if x != ' ']
-    sly.sort()
-    slz = []
-    for z in sly:
-        if z not in slz:
-            slz.append(z)
-    return slz
 
 
 def tests(f):

labs03/task01.py

@@ -1,6 +0,0 @@
-a =[1,2,3,4,5]
-b='asdf'
-c=0.5
-print(id(a))
-print(id(b))
-print(id(c))

labs03/task02.py

@@ -1,10 +0,0 @@
-def fib(n):
-    l = [0, 1,]
-    for i in range(2, n):
-        l.append(l[i-1] + l[i-2])
-    yield l
-
-
-x = fib(7)
-for i in x:
-    print(i)

labs03/task03.py

@@ -1,4 +0,0 @@
-import requests
-r = requests.get('https://api.fixer.io/latest')
-j=r.json()
-print(j['rates']['PLN'])

labs03/task04.py

@@ -1,29 +0,0 @@
-from weather import Weather
-import datetime as d
-weather = Weather()
-
-weatherWro = weather.lookup_by_location("Wroclaw")
-print(weatherWro.condition().text())
-
-def fc_conv (f):
-    res = round((float(f) - 32) / 1.8, 2)
-    return res
-
-
-print(fc_conv(1))
-
-
-fcst = weatherWro.forecast()
-temp=[]
-day=[]
-for i in fcst:
-    day.append(i.date())
-    temp.append(i.low())
-dayMin = day[temp.index(min(temp))]
-dayMin2 = d.datetime.strptime(dayMin, '%d %b %Y')
-dayTxt = (dayMin2.weekday())
-daysPl = ["Poniedzialek", "Wtorek", "Sroda", "Czwartek", "Piatek", "Sobota", "Niedziela"]
-#print(dayMin)
-print(daysPl[dayTxt])
-print(fc_conv(min(temp)))
-

labs03/task05.py

@@ -1,20 +0,0 @@
-from glob import glob  as g
-
-i = 0
-
-for file in g('scores/model.iter*.npz.bleu'):
-    with open(file, 'r') as of:
-        fl = of.readline()
-        cB = float(fl[fl.find("=") + 1:fl.find(",")])
-
-        if i == 0:
-            maxB = cB
-            maxBF =file
-        else:
-            if cB > maxB:
-                maxB = cB
-                maxBF = file
-        i += 1
-        of.close()
-
-print(maxBF)

labs04/task01.py

@@ -1,12 +1,3 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
-#e
-def is_numeric(InputList):
-    OutputLits = []
-    for i in range(len(InputList)):
-        t = InputList[i]
-        OutputLits.append(isinstance(t,(int, float)))
-    #print(isinstance(x,(int, float)))
-    return OutputLits
 
-print(is_numeric([-1,2.4,6]))

labs04/task02.py

@@ -1,28 +1,3 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
-class Employee:
-    _id = 0
-
-    def __init__(self, name, surname):
-        Employee._id += 1
-        self.id = Employee._id
-        self.name = name
-        self.surname = surname
-
-    def get_id(self):
-        return self.id
-
-
-class Recruiter(Employee):
-    recruited = []
-
-    def recruit(self, Employee):
-        emp_id = Employee.id
-        self.recruited.append(emp_id)
-
-
-class Programmer(Employee):
-    def __init__(self, name, surname, Recruiter):
-        super().__init__(name, surname)
-        self.recruiter = Recruiter.id

labs04/task03.py

@@ -1,37 +1,3 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
-def is_numeric(InputList):
-    OutputLits = []
-    for i in range(len(InputList)):
-        t = InputList[i]
-        OutputLits.append(isinstance(t,(int, float)))
-    #print(isinstance(x,(int, float)))
-    return OutputLits
 
-
-class Point:
-    def __add__(self, other):
-        if len(self.cor)!=len(other.cor):
-            raise DimensionError("DimesnsionError")
-        else:
-            return [i+j for (i,j) in zip(self.cor,other.cor)]
-    def __init__(self, cor):
-        if (is_numeric(cor)):
-            self.cor=cor
-        else:
-            raise Exception("Wrong input")
-    def __len__(self):
-        return len(self.cor)
-    def __str__(self):
-        return(str(self.cor))
-    def __to_string__(self):
-        return(str(self.cor))
-class DimensionError(Exception):
-    def __init__(self, text):
-        self.text = text
-    def __str__(self):
-        return self.text
-
-test=Point([2,5])
-print(str(test))
-print(len(test))

labs05/main.py

@@ -5,11 +5,9 @@ import lib
 import tools.fib
 
 import sys
-import sys
-sys.path.append("..")
-# sys.path.append("/ssdfa/fsdsfd/sfd/")
 
-import labs02.task01
+# sys.path.append("..")
+# import labs02.task01
 
 def main():
     print("Hello World")

labs05/task00.py

@@ -2,10 +2,10 @@
 # -*- coding: utf-8 -*-
 
 def suma(liczby):
-    return sum(liczby)
+    pass
 
 def main():
-    print(suma([1, 2, 3, 4]))
+    print(summa([1, 2, 3, 4]))
 
 if __name__ == "__main__":
     main()

labs05/task01.py

@@ -1,4 +0,0 @@
-import task00 as t
-import sys
-print(t.suma([3.2,4.5]))
-print(sys.argv)

labs06/task00.py

@@ -1 +0,0 @@
-import pandas as pd

labs06/task02.py

@@ -1,27 +1,14 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
-import pandas as pd
-import sys
-import numpy as np
 
 def wczytaj_dane():
-    my_data = pd.read_csv('mieszkania.csv',
+    pass
-                          encoding='utf-8',
-                          index_col='Id',
-                          sep = ',')
-    return my_data
-    #print(my_data)
 
 def most_common_room_number(dane):
-    rooms = dane['Rooms']
+    pass
-    rooms_max = rooms.value_counts().index[0]
+
-    return rooms_max
-    #return ( room_num_list[room_num_list.index(max(room_num_list))] )
-    #pass
 def cheapest_flats(dane, n):
-    expected = dane['Expected']
+    pass
-    n_cheapest = expected.sort_values().head(n)
-    return n_cheapest
 
 def find_borough(desc):
     dzielnice = ['Stare Miasto',
@@ -32,27 +19,23 @@ def find_borough(desc):
                  'Winogrady',
                  'Miłostowo',
                  'Dębiec']
-    for dzielnica in dzielnice:
+    pass
-        if dzielnica in desc:
+
-            return dzielnica
-    return 'Inne'
 
 def add_borough(dane):
-    dane['Borough'] = dane.apply(lambda row: find_borough(row['Location']))
+    pass
 
 def write_plot(dane, filename):
-    dane['Borough'].value_counts().plot.bar().get_figure().savefig(filename)
+    pass
 
 def mean_price(dane, room_number):
-    mean_value = dane.loc[dane['Rooms'] == room_number]['Expected'].mean()
+    pass
-    return mean_value
 
 def find_13(dane):
-    return dane.loc[dane['Floor'] == 13]['Borough'].unique()
+    pass
 
 def find_best_flats(dane):
-    best_flats = dane.loc[(df['Borough'] == 'Winogrady') & (dane['Rooms'] == 3) & (dane['Floor'] == 1)]
+    pass
-    return best_flats
 
 def main():
     dane = wczytaj_dane()
@@ -62,7 +45,7 @@ def main():
           .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)))