Code Race/2014.8.20/eval

팀명 ¶

eval
언어 : python

팀원 ¶

코드 ¶

phase1 ¶

number = []
for i range(5):
	number.append(input())
max(number)

phase2 ¶

number = []

input = open("input.txt", encoding="utf-8").read().split("\n");
input.pop(0)

for x in input[0].split():
	number.append(int(x))

print(max(number))

phase3 ¶

number = []

input = open("input.txt", encoding="utf-8").read().split("\n");
input.pop(0)

for x in input[0].split():
	try:
		number.append(int(x))
	except ValueError:
		continue

try:
	print(max(number))
except ValueError:
	print("NaN")
finally:
	pass

phase4 ¶

import math

matrix = []

input = open("input_matrix.txt", encoding="utf-8").read().split("\n");
row_length, col_length = map(int, input.pop(0).split())

for x in input:
	row = []
	for number in x.split():
		try:
			row.append(int(number))
		except ValueError:
			row.append('NaN')
	matrix.append(row)

column_max = []
row_max = []

for i in range(row_length):
	row = []
	for j in range(col_length):
		if(type(matrix[i][j]) is int):
			row.append(matrix[i][j])
	if(len(row) > 0):	
		row_max.append(max(row))
	else:
		row_max.append("NaN")

for i in range(col_length):
	column = []
	for j in range(row_length):
		if(type(matrix[j][i]) is int):
			column.append(matrix[j][i])	
	if(len(column) > 0):		
		column_max.append(max(column))
	else:
		column_max.append("NaN")

print(column_max)
print(row_max)
for i in range(len(column_max)):
	print("column ", i, " : ", column_max[i])
for i in range(len(row_max)):
	print("row", i, " : ", row_max[i])
print(max([max([x for x in column_max if type(x) is int]), max([x for x in row_max if type(x) is int])]))

phase final ¶

import math

del __builtins__.exit

matrix = []

input = open("input final.txt", encoding="utf-8").read().split("\n");
row_length, col_length = map(int, input.pop(0).split())

for x in input:
	row = []
	for number in x.split():
		try:
			row.append(eval(number))
		except NameError:
			row.append('NaN')
		except SyntaxError:
			row.append('NaN')
		except ValueError:
			row.append('NaN')
	matrix.append(row)

column_max = []
row_max = []

for i in range(row_length):
	row = []
	for j in range(col_length):
		if(type(matrix[i][j]) is int):
			row.append(matrix[i][j])
	if(len(row) > 0):	
		row_max.append(max(row))
	else:
		row_max.append("NaN")

for i in range(col_length):
	column = []
	for j in range(row_length):
		if(type(matrix[j][i]) is int):
			column.append(matrix[j][i])	
	if(len(column) > 0):		
		column_max.append(max(column))
	else:
		column_max.append("NaN")

print(column_max)
print(row_max)
for i in range(len(column_max)):
	print("column ", i, " : ", column_max[i])
for i in range(len(row_max)):
	print("row", i, " : ", row_max[i])
print(max([max([x for x in column_max if type(x) is int]), max([x for x in row_max if type(x) is int])]))