labs04 z1

labs03/task01.py

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

labs03/task02.py

@@ -0,0 +1,10 @@
+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

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

labs03/task04.py

@@ -0,0 +1,29 @@
+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

@@ -0,0 +1,20 @@
+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)