-# Prepinani spacemodu
-mod_m = False
-mod_x = False
-if 'X' in opsny:
- mod_x = True
-if 'M' in opsny:
- mod_m = True
-if 'A' in opsny:
- mod_x = True
- mod_m = True
-if not mod_m and not mod_x:
- if ' ' in ocesat(zprava, True):
- mod_m = True
- analyza.append("\nAutomaticky zvolena analyza s mezerami.")
- else:
- mod_x = True
- analyza.append("\nAutomaticky zvolena analyza bez mezer.")
-
-# Zakladni udaje
-analyza.append("\nZakladni udaje:")
-if mod_m:
- analyza.append("Delka zpravy (vcetne mezer a zvlastnich znaku): " + str(len(zprava)))
-analyza.append("Delka zpravy (bez mezer a zvlastnich znaku): " + str(len(ocesat(zprava, False))))
-
-# Prumerna delka slova
-if mod_m:
- analyza.append("\nPrumerna delka slova:")
- slova = ocesat(zprava, True).split()
- analyza.append('{0:.3}'.format(float(sum([len(word) for word in slova]))/len(slova)))
-
-# Frekvence znaku
-analyza.append("\nFrekvencni analyza:")
-freq = dict()
-for char in ABECEDA:
- freq[char] = 0
-for char in zprava:
- if char in freq:
- freq[char] += 1
-celkem = sum(freq.values())
-for char in sorted(freq, key=freq.get, reverse=True):
- analyza.append('{0} {1:>3} {2:>6.2%}'.format(char, freq[char],
- float(freq[char])/celkem))
-
-# Index koincidence
-# TODO verze s mezerami
-analyza.append("\nIndexy koincidence (vzdy bez mezer):")
-analyza.append(koincidence.tabulka_indexu(zprava))
-
-# Jakobsen
-if mod_m:
- analyza.append("\nJakobsen (s mezerami):")
- analyza.append(jakobsen.desifruj(zprava, './ref'))
-if mod_x:
- analyza.append("\nJakobsen (bez mezer):")
- analyza.append(jakobsen.desifruj(zprava, './bref'))
-
-# Posuny v abecede
-(posun, posunuty_text) = posuny.nejlepsi(zprava)
-if 'P' in opsny or 'A' in opsny:
- analyza.append("\nPosuny v abecede (nejlepsi posun {0}):".format(posun))
- analyza.append("\n".join("{0:>2} {1}".format(i + 1, posuny.vsechny(zprava)[i]) for i in range(26)))