# Code Race/2014.8.20/eval

eval
언어 : python

## 코드 ¶

### phase1 ¶

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

### phase2 ¶

```number = []

input.pop(0)

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

print(max(number))
```

### phase3 ¶

```number = []

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 = []

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 = []

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])]))
```