Gulalang, 868068 byte
Đây là một ý tưởng quá tốt để bỏ qua. ( Cảm ơn, mbomb007. )
Về cơ bản, đây là bảng tra cứu tối ưu. Lần đầu tiên tôi mã hóa từng loại như
((first_char + second_char * 2 + third_char * 3) mod 256) - 0x3c
Điều này dẫn đến các đại diện duy nhất cho từng loại. Loại trống (khi pokemon phòng thủ chỉ có một loại duy nhất) được mã hóa thành 0x00.
Sau đó, tôi chỉ sử dụng một mớ hỗn độn if-elsetương đương để kiểm tra tất cả các kết hợp ~ 5800.
Mã
Stack Exchange không cho phép tôi đăng toàn bộ mã, vì vậy đây là mã được nén + base64'd.
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
Thí dụ
Rõ ràng trình thông dịch chính thức của Gulalang chưa sẵn sàng, nhưng vì đó là một sự thay thế Brainfuck tầm thường, tôi đã thử nghiệm nó bằng một trình thông dịch Brainfuck.
$ base64 -d supereff.pokeball.gz.b64 > supereff.pokeball.gz
$ gunzip supereff.pokeball.gz
$ pikalang supereff.pokeball
Normal
Rock/Dragon
0.5x
Đầu vào được phân tách bằng dòng mới và yêu cầu một dòng mới bổ sung.
Chương trình sử dụng vị trí bộ nhớ -1, do đó, nếu trình thông dịch của bạn không cho phép đi ra phía bên trái của băng, hãy thêm mã bằng một pipihoặc một >(tương ứng với Gulalang và Brainfuck).
Brainfuck, 193708
Đây là chương trình tương tự trong Brainfuck (cũng được nén + base64'd).
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
Chương trình bao gồm bốn phần:
- Đầu vào. Đọc các loại và tính toán định danh của họ.
- Thế hệ văn bản. Tạo chuỗi cho mỗi đầu ra có thể.
- Bảng tra cứu. Phần này là do máy tính tạo ra (xem bên dưới). Di chuyển con trỏ đến kết quả chính xác.
- Đầu ra. Chỉ cần in kết quả.
Cấu trúc chương trình chính
,>,[-<++>],[-<+++>] read first type id
++++++[-<---------->] subtract 3c
+[,----------] skip until newline
>,>,[-<++>],[-<+++>] read second type id
++++++[-<---------->] subtract 3c
>- set @LOOPFLAG@ to get into loop
[
>-< set @CHARFLAG@
<,---------- get character; newline is 00 slash is 25
[ was not newline
------------------------------------- slash is now 00
[ was not slash
>>+<< reset @CHARFLAG@
[-] clear character
]
]
>>[ was newline or slash (@CHARFLAG@ set)
<+>+ reset @LOOPFLAG@ and @CHARFLAG@
]<
]
,>,[-<++>],[-<+++>] read third type id
<[->+>+<<]>[-<+>] copy third to @CHARFLAG@
>[ if @CHARFLAG@ is set
[-] clear @CHARFLAG@
<++++++[-<---------->]> subtract 3c from third
]<
++++++++[- do 8 times
>++++++ put a 0 here
>+++++++++++++++ put an x here
>>++++++ put a 0 here
>++++++ put a 0 here
>++++++ put a 0 here
>+++++++ put a 8 here
>+++++++++++++++ put an x here
>>++++++ put a 0 here
>++++++ put a 0 here
>+++++++ put a 8 here
>+++++++++++++++ put an x here
>>++++++ put a 0 here
>+++++++++++++++ put an x here
>>++++++ put a 0 here
>+++++++++++++++ put an x here
>>++++++ put a 0 here
>+++++++++++++++ put an x here
<<<<<<<<<<<<<<<<<<<<<< go back
]
>>>>>-- change 0 to dot
>++ change 0 to 2
>--- change 8 to 5
>>>>-- change 0 to dot
>--- change 8 to 5
>>>+ change 0 to 1
>>>++ change 0 to 2
>>>++++ change 0 to 4
<<<<<<<<<<<<<<<<<<<<<< go back
(lookup table here)
>[.>] print result
Đây là tập lệnh tạo bảng tra cứu:
typemap = [[int(value, 16), name] for value, name in [
["00", "(Nothing)"],
["02", "Ice"],
["07", "Fairy"],
["0f", "Dragon"],
["10", "Electric"],
["11", "Fighting"],
["12", "Grass"],
["1d", "Rock"],
["20", "Dark"],
["25", "Bug"],
["28", "Ghost"],
["2d", "Poison"],
["2e", "Steel"],
["32", "Fire"],
["39", "Water"],
["3c", "Ground"],
["46", "Normal"],
["4d", "Flying"],
["65", "Psychic"]
]]
multipliers = {
0: 5,
0.25: 8,
0.5: 14,
1: 19,
2: 22,
4: 25
}
types = [
"Normal", "Fighting", "Flying", "Poison", "Ground", "Rock", "Bug", "Ghost", "Steel",
"Fire", "Water", "Grass", "Electric", "Psychic", "Ice", "Dragon", "Dark", "Fairy"
]
results = [
[2, 2, 2, 2, 2, 1, 2, 0, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2],
[4, 2, 1, 1, 2, 4, 1, 0, 4, 2, 2, 2, 2, 1, 4, 2, 4, 1],
[2, 4, 2, 2, 2, 1, 4, 2, 1, 2, 2, 4, 1, 2, 2, 2, 2, 2],
[2, 2, 2, 1, 1, 1, 2, 1, 0, 2, 2, 4, 2, 2, 2, 2, 2, 4],
[2, 2, 0, 4, 2, 4, 1, 2, 4, 4, 2, 1, 4, 2, 2, 2, 2, 2],
[2, 1, 4, 2, 1, 2, 4, 2, 1, 4, 2, 2, 2, 2, 4, 2, 2, 2],
[2, 1, 1, 1, 2, 2, 2, 1, 1, 1, 2, 4, 2, 4, 2, 2, 4, 1],
[0, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 4, 2, 2, 1, 2],
[2, 2, 2, 2, 2, 4, 2, 2, 1, 1, 1, 2, 1, 2, 4, 2, 2, 4],
[2, 2, 2, 2, 2, 1, 4, 2, 4, 1, 1, 4, 2, 2, 4, 1, 2, 2],
[2, 2, 2, 2, 4, 4, 2, 2, 2, 4, 1, 1, 2, 2, 2, 1, 2, 2],
[2, 2, 1, 1, 4, 4, 1, 2, 1, 1, 4, 1, 2, 2, 2, 1, 2, 2],
[2, 2, 4, 2, 0, 2, 2, 2, 2, 2, 4, 1, 1, 2, 2, 1, 2, 2],
[2, 4, 2, 4, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 0, 2],
[2, 2, 4, 2, 4, 2, 2, 2, 1, 1, 1, 4, 2, 2, 1, 4, 2, 2],
[2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 4, 2, 0],
[2, 1, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 4, 2, 2, 1, 1],
[2, 4, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 4, 4, 2]
]
def getMultiplier(first, second, third):
id1 = types.index(first)
id2 = types.index(second)
if third in types:
id3 = types.index(third)
return results[id1][id2] * results[id1][id3] / 4;
else:
return results[id1][id2] / 2
def genFirstType(second, third, remain, removed):
mul = getMultiplier(remain[0][1], second, third)
if len(remain) == 1:
result = "[ first is not " + removed[1] + "\n"
result += "thus first must be " + remain[0][1] + "\n"
result += ">" * (multipliers[mul] - 1) + "[-]-> " + str(mul).replace(".", "").rstrip("0") + "x multiplier\n"
result += "]\n"
return result
elif not removed:
result = "<<" + "-" * remain[0][0] + " " + remain[0][1] + " is now 00\n"
result += genFirstType(second, third, remain[1:], remain[0])
result += "<+[ first is " + remain[0][1] + "\n"
result += ">" * multipliers[mul] + "[-] " + str(mul).replace(".", "").rstrip("0") + "x multiplier\n"
result += "]->\n"
return result
else:
result = "[ first is not " + removed[1] + "\n"
result += "-" * (remain[0][0] - removed[0]) + " " + remain[0][1] + " is now 00\n"
result += genFirstType(second, third, remain[1:], remain[0])
result += "<+[ first is " + remain[0][1] + "\n"
result += ">" * multipliers[mul] + "[-] " + str(mul).replace(".", "").rstrip("0") + "x multiplier\n"
result += "]->\n"
result += "]\n"
return result
def genSecondType(third, remain, removed):
if len(remain) == 1:
result = "[ second is not " + removed[1] + "\n"
result += "thus second must be " + remain[0][1] + "\n"
result += genFirstType(remain[0][1], third, typemap[1:], False)
result += "]\n"
return result
elif not removed:
result = "<<" + "-" * remain[0][0] + " " + remain[0][1] + " is now 00\n"
result += genSecondType(third, remain[1:], remain[0])
result += "<+[-> second is " + remain[0][1] + "\n"
result += genFirstType(remain[0][1], third, typemap[1:], False)
result += "<+]->\n"
return result
else:
result = "[ second is not " + removed[1] + "\n"
result += "-" * (remain[0][0] - removed[0]) + " " + remain[0][1] + " is now 00\n"
result += genSecondType(third, remain[1:], remain[0])
result += "<+[-> second is " + remain[0][1] + "\n"
result += genFirstType(remain[0][1], third, typemap[1:], False)
result += "<+]->\n"
result += "]\n"
return result
def genThirdType(remain, removed):
if len(remain) == 1:
result = "[ third is not " + removed[1] + "\n"
result += "thus third must be " + remain[0][1] + "\n"
result += genSecondType(remain[0][1], [item for item in typemap[1:] if item[1] != remain[0][1]], False)
result += "]\n"
return result
elif not removed:
result = "-" * remain[0][0] + " " + remain[0][1] + " is now 00\n"
result += genThirdType(remain[1:], remain[0])
result += "<+[-> third is " + remain[0][1] + "\n"
result += genSecondType(remain[0][1], [item for item in typemap[1:] if item[1] != remain[0][1]], False)
result += "<+]->\n"
return result
else:
result = "[ third is not " + removed[1] + "\n"
result += "-" * (remain[0][0] - removed[0]) + " " + remain[0][1] + " is now 00\n"
result += genThirdType(remain[1:], remain[0])
result += "<+[-> third is " + remain[0][1] + "\n"
result += genSecondType(remain[0][1], [item for item in typemap[1:] if item[1] != remain[0][1]], False)
result += "<+]->\n"
result += "]\n"
return result
def genLookup():
return genThirdType(typemap, False)
def compact(code):
import re
return re.sub(r"[^+\-<>\[\],.]", "", code)
def golfStep(code):
return code.replace("><", "").replace("<>", "").replace("+-", "").replace("-+", "")
def golf(code):
previous = golfStep(code)
while previous != code:
previous, code = code, golfStep(code)
return code
if __name__ == "__main__":
import sys
result = genLookup()
if "-g" in sys.argv:
print(golf(compact(result)))
elif "-c" in sys.argv:
print(compact(result))
else:
print(result)
BTW, câu trả lời này mất 29817 byte. :)
