import datetime
defmain():
Result = []
#XXXX年1月repunit日と、XXXX年11月Repunit日について一致を調べる
RepunitDelta = [datetime.timedelta(days = repunit) for repunit in (0,10,110,1110,11110,111110)]
for y inrange(1,2021):
JanOrig = datetime.date(year=y,month=1,day=1)
NovOrig = datetime.date(year=y,month=11,day=1)
for RD in RepunitDelta:#日付の差分
JanRes = JanOrig + RD
NovRes = NovOrig + RD
if JanRes.year==2020:
result = (f"{JanRes}は{JanOrig.year}年{JanOrig.month}月{RD.days+1}日")
Result.append((JanRes,result))
if NovRes.year==2020:
result = (f"{NovRes}は{NovOrig.year}年{NovOrig.month}月{RD.days+1}日")
Result.append((NovRes,result))
Result.sort(key = lambda x:x[0])
for r in Result:
print(r[1])
if __name__ == "__main__":
main()
import datetime
import ModularRepunit
defmain():
Repunits = ModularRepunit.RepDaysList400yrs()
Result = set()
#XXXX年1月repunit日と、XXXX年11月Repunit日について一致を調べる
RepunitDelta = [datetime.timedelta(days = repunit) for repunit in [i-1for i in Repunits]]
for y inrange(1600,2021):
JanOrig = datetime.date(year=y,month=1,day=1)
NovOrig = datetime.date(year=y,month=11,day=1)
for RD in RepunitDelta:
JanRes = JanOrig + RD
NovRes = NovOrig + RD
if JanRes.year==2020:
Result.add(JanRes)
if NovRes.year==2020:
Result.add(NovRes)
print(len(Result))
if __name__ == "__main__":
main()
from split_node import ParseNode
import MeCab
import itertools
import sys
def FindTanka(text,neologd=False):
"""
テキストをぶちこむと短歌のリストを返してくれる風流な関数。
"""
Nodes = ParseNode(text,neologd=neologd)
TankaPoint = (5,12,17,24,31,32)
Tankas = []
for sentence in Nodes:
l = len(sentence)
for n,StartWord in enumerate(sentence):
if StartWord["Yomi"] =="*" or\
StartWord["Hinshi"] not in ("名詞","動詞","連体詞","副詞"):continue
sound = 0
curpos = n
tanka = ""
tankalen = 0
while sound<=31 and curpos<l:
w = sentence[curpos]
#句の始まりが助詞や助動詞でないかどうか
if sound in TankaPoint:
if w["Hinshi"] not in ("名詞","動詞","連体詞","副詞"):
break
if w["Yomi"]!="*":
tanka += w["Text"]
sound += w["Length"]
if sound ==TankaPoint[tankalen]:
tankalen+=1
if tankalen == 5:
Tankas.append(tanka)
break
curpos+=1
return(Tankas)
if __name__ == "__main__":
print(FindTanka(wikipedia(input("url:")),neologd = True))
from split_node import ParseNode
from getAozora import aozora
from getWikipedia import wikipedia
import MeCab
import itertools
import sys
import numpy as np
import re
def readlines():
return " ".join(sys.stdin.readlines())
JIRITSUGO = (
"動詞","形容詞","接続詞",
"名詞","副詞","連体詞","感動詞","記号")#自立後のリスト
FUZOKUGO = ("助詞","助動詞")
def FindTanka(text,neologd=False):
"""
テキストをぶちこむと短歌のリストを返してくれる風流な関数。
"""
text = re.sub(" "," ",re.sub(r"\r"," ",text))
Nodes = ParseNode(text,neologd=neologd)
Tankalist = (5,7,5,7,7)#ここのタプルをいじると自由に検出が変更可能
TankaPoint = np.cumsum(Tankalist+(1,))
Tankas = []
for sentence in Nodes:
l = len(sentence)
for n,StartWord in enumerate(sentence):
if StartWord["Yomi"] in("*","、") or StartWord["Hinshi"] in FUZOKUGO:
continue
sound = 0
curpos = n
tanka = ""
tankalen = 0
while sound<=TankaPoint[-1] and curpos<l:
w = sentence[curpos]
if w["Hinshi"]=="記号":
tanka += w["Text"]
curpos += 1
continue
#句(57577)の始まりが助詞や助動詞でないかどうか
if sound in TankaPoint and tankalen<=4:
if w["Hinshi"] in FUZOKUGO:
break
if w["Yomi"]!="*":
tanka += w["Text"]
sound += w["Length"]
if sound ==TankaPoint[tankalen]:
tankalen+=1
if tankalen == len(TankaPoint)-1:#短歌が完成した場合
if (w["Hinshi"] in JIRITSUGO and "連用" not in w["Katsuyo"]) or (curpos<l-1 and sentence[curpos+1]["Hinshi"] in JIRITSUGO):
Tankas.append(tanka)
break
if tankalen == len(TankaPoint):#31文字でうまく終わらなかった場合の安全策
Tankas.append(tanka)
break
curpos+=1
return(Tankas)
if __name__ == "__main__":
print(FindTanka(wikipedia(input()),neologd=True))
)
)
コロコロ…「いいえ！」
