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Task/Narcissistic-decimal-number/Python/narcissistic-decimal-number-1.py

@@ -0,0 +1,18 @@
+from __future__ import print_function
+from itertools import count, islice
+
+def narcissists():
+    for digits in count(0):
+        digitpowers = [i**digits for i in range(10)]
+        for n in range(int(10**(digits-1)), 10**digits):
+            div, digitpsum = n, 0
+            while div:
+                div, mod = divmod(div, 10)
+                digitpsum += digitpowers[mod]
+            if n == digitpsum:
+                yield n
+
+for i, n in enumerate(islice(narcissists(), 25), 1):
+    print(n, end=' ')
+    if i % 5 == 0: print()
+print()

Task/Narcissistic-decimal-number/Python/narcissistic-decimal-number-2.py

@@ -0,0 +1,58 @@
+try:
+    import psyco
+    psyco.full()
+except:
+    pass
+
+class Narcissistics:
+    def __init__(self, max_len):
+        self.max_len = max_len
+        self.power = [0] * 10
+        self.dsum = [0] * (max_len + 1)
+        self.count = [0] * 10
+        self.len = 0
+        self.ord0 = ord('0')
+
+    def check_perm(self, out = [0] * 10):
+        for i in xrange(10):
+            out[i] = 0
+
+        s = str(self.dsum[0])
+        for d in s:
+            c = ord(d) - self.ord0
+            out[c] += 1
+            if out[c] > self.count[c]:
+                return
+
+        if len(s) == self.len:
+            print self.dsum[0],
+
+    def narc2(self, pos, d):
+        if not pos:
+            self.check_perm()
+            return
+
+        while True:
+            self.dsum[pos - 1] = self.dsum[pos] + self.power[d]
+            self.count[d] += 1
+            self.narc2(pos - 1, d)
+            self.count[d] -= 1
+            if d == 0:
+                break
+            d -= 1
+
+    def show(self, n):
+        self.len = n
+        for i in xrange(len(self.power)):
+            self.power[i] = i ** n
+        self.dsum[n] = 0
+        print "length %d:" % n,
+        self.narc2(n, 9)
+        print
+
+def main():
+    narc = Narcissistics(14)
+    for i in xrange(1, narc.max_len + 1):
+        narc.show(i)
+
+main()