Again, I am using my helper function from day 1 to read data.

This challenge was little bit harder than previous but with the help of NumPy, I did it.

```
import numpy as np
data,data1 = get_data(day=4)
def get_blocks(dt):
block = []
num = [int(i) for i in dt[0].split(",")]
row = []
tdata=[]
blocks = 0
for d in dt[2:]:
if d == "":
tdata.append(block)
block=[]
blocks+=1
else:
block.append([int(i) for i in d.strip().split(" ") if i!=""])
tdata.append(block)
block=[]
blocks+=1
tdata = np.array(tdata).reshape(blocks,-1, 5)
return tdata, num
def get_first_matched(tdata, num):
results = np.zeros_like(tdata).astype(np.bool)
matched = False
for n in num:
for i,block in enumerate(tdata):
results[i] += block==n
# search across row
if (results[i]==[ True, True, True, True, True]).all(axis=1).any():
print(f"Row Matched Block:{i}")
matched=True
break
# search across cols
if (results[i].T==[ True, True, True, True, True]).all(axis=1).any():
print(f"Col Matched Block: {i}")
matched=True
break
if matched:
print(f"\nResult Block: {tdata[i]}")
s = (tdata[i]*~results[i]).sum()
print(f"Sum: {s}")
print(f"Last number: {n}")
print(f"Answer: {n*s}\n")
break
def get_last_matched(tdata, num):
results = np.zeros_like(tdata).astype(np.bool)
matched = False
mblocks=[]
all_blocks = list(range(0, len(results)))
for n in num:
for i,block in enumerate(tdata):
results[i] += block==n
# search across row
if (results[i]==[ True, True, True, True, True]).all(axis=1).any():
print(f"Row Matched Block:{i}")
if i not in mblocks:
mblocks.append(i)
if len(mblocks) == len(all_blocks):
matched=True
# search across cols
if (results[i].T==[ True, True, True, True, True]).all(axis=1).any():
print(f"Col Matched Block: {i}")
if i not in mblocks:
mblocks.append(i)
if len(mblocks) == len(all_blocks):
matched=True
if matched:
i = mblocks[i]
print(f"\nResult Block: {tdata[i]}")
s = (tdata[i]*~results[i]).sum()
print(f"Sum: {s}")
print(f"Last number: {n}")
print(f"Answer: {n*s}")
break
d1,n1 = get_blocks(data1)
get_first_matched(tdata=d1, num=n1)
get_last_matched(tdata=d1, num=n1)
```

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## Discussion (0)