instruction
stringlengths 0
3.82k
| input
stringlengths 1
1.84k
â | chosen
stringlengths 0
6.81k
|
---|---|---|
ã¢ããªã«ã®6ã€ã®å€©ç¶è³æºãšã¯ïŒ | null | ã¢ããªã«ã«ããã倩ç¶è³æºã®ãã¡ãç¹ã«éèŠãª6ã€ã®è³æºã¯ä»¥äžã®éãã§ãã
1. **ç³æ²¹**ïŒã¢ããªã«ã¯äžçææ°ã®ç³æ²¹çç£åœã®äžã€ã§ããã€ãžã§ãªã¢ãã¢ã³ãŽã©ãã¢ã«ãžã§ãªã¢ããšãžãããªã©ãäž»èŠãªç£åºåœã§ãã
2. **倩ç¶ã¬ã¹**ïŒã¢ããªã«ã¯äžç第9äœã®å€©ç¶ã¬ã¹åèµéãæã¡ããã€ãžã§ãªã¢ãæå€§ã®ç£åºåœã§ããä»ã«ãã¢ã«ãžã§ãªã¢ããšãžããããªãã¢ãªã©ãçç£ããŠããŸãã
3. **é**ïŒã¢ããªã«ã¯äžç第2äœã®éã®çç£åœã§ãåã¢ããªã«ãã¬ãŒããããªããã«ãããã¡ãœãªã©ãäž»èŠãªçç£åœã§ãã
4. **é
**ïŒã¢ããªã«ã¯äžç第4äœã®é
ã®çç£åœã§ãã³ã³ãŽæ°äž»å
±ååœãã¶ã³ãã¢ãåã¢ããªã«ãäž»èŠãªçç£åœã§ãã
5. **é**ïŒã¡ãã·ã³ããã«ãŒãäžåœã«æ¬¡ãäžç第4äœã®éçç£åœã§ãåã¢ããªã«ãã¢ããã³ãã¿ã³ã¶ãã¢ãªã©ãäž»èŠãªçç£åœã§ãã
6. **ãã€ã€ã¢ã³ã**ïŒã¢ããªã«ã¯ãã€ã€ã¢ã³ãã®æå€§ç£åºå°åã§ãããã¯ããã³ã³ãŽæ°äž»å
±ååœãåã¢ããªã«ãã¢ã³ãŽã©ãªã©ãäž»èŠãªç£åºåœã§ãã
ãããã®å€©ç¶è³æºã¯ãã¢ããªã«çµæžã®éèŠãªåºç€ãšãªã£ãŠãããããããã®åœã«ãšã£ãŠå€§ããªå€è²šç²åŸæºãšãªã£ãŠããŸãã |
ã©ã®åç©ãå®¶çãéçããèå¥ããïŒç«ãããŒãããŒã¹ã(Bubal hartebeest) | null | 1. ç«ã«ã€ããŠæ€èšããŸããç«ã¯ããšããšå®¶çãšããŠé£Œè²ãããŠããåç©ã§ããããšãç¥ãããŠããŸããåŸã£ãŠãç«ã¯å®¶çã§ãã
2. 次ã«ãããŒãããŒã¹ãã«ã€ããŠèããŸããããŒãããŒã¹ãã¯ããšããšéçåç©ã§ããã飌è²ãããŠãã圢跡ã¯ãããŸãããåŸã£ãŠãããŒãããŒã¹ãã¯éçåç©ã§ãã
3. 以äžã®æ€èšçµæãããç«ã¯å®¶çã§ãããããŒãããŒã¹ãã¯éçåç©ã§ãããšçµè«ä»ããããŸãã |
ãã«ã·ã£èªã®ç²åراã¯äœãæå³ããŸãã? | null | ãã«ã·ã£èªã®"را"ïŒã©ãŒïŒã¯ãåè©ã®åœä»€åœ¢ãäœãããã«çšããããæ¥å°ŸèŸã®äžçš®ã§ããããã¯äžäººç§°è€æ°ïŒç§ãã¡ïŒãäºäººç§°è€æ°ïŒããªããã¡ïŒãžã®åœä»€ã衚ããŸããå
·äœçã«ã¯ããïœããŸããããããïœããŠãã ããããšããæå³ã«ãªããŸãã
äŸãã°ãåè© "Ø®ÙØ§ØšØ¯"ïŒå¯ãïŒã®åœä»€åœ¢ã¯ "Ø®ÙØ§Øš را"ïŒå¯ãŸããããå¯ãŠãã ããïŒã«ãªããŸãã
ãŸãããã®æ¥å°ŸèŸã¯äžéšã®åè©ã«ãã€ãããšããããŸãããã®å Žåãåè©ã®è€æ°åœ¢ã衚ããŸããäŸãã°ã"ÙŸØ±Ø§Ú©ÙØ¯Ø§"ïŒã¢ã¡ãªã«ïŒã®è€æ°åœ¢ã¯ "ÙŸØ±Ø§Ú©ÙØ¯Ø§ را"ïŒã¢ã¡ãªã«ãã¡ïŒã«ãªããŸãã |
ãã€ããŒã«ã·ã¥ãŒãºã®äžè¬çãªçš®é¡ã¯ïŒ | null | ãã€ããŒã«ã·ã¥ãŒãºã®äžè¬çãªçš®é¡ã¯ä»¥äžã®éãã§ãã
1. ãã€ã³ããããã¥: ã€ãŸå
ãå°ã£ã圢ã®ãã€ããŒã«ãã¹ã¿ã€ãªãã·ã¥ã§ãšã¬ã¬ã³ããªå°è±¡ãäžããŸãã
2. ã¹ã¯ãšã¢ãã¥: ã€ãŸå
ãåè§ã圢ã®ãã€ããŒã«ãã·ã£ãŒãã§ã¢ãã³ãªå°è±¡ãäžããŸãã
3. ããŒããã¥: ã€ãŸå
ãéãã圢ã®ãã€ããŒã«ãã»ã¯ã·ãŒã§éã³å¿ã®ããå°è±¡ãäžããŸãã
4. ã¬ãŒã¹ã¢ãã: éŽã²ãã§çµã³ä»ããã¿ã€ãã®ãã€ããŒã«ããã§ããã³ã§å¯æãããå°è±¡ãäžããŸãã
5. ã¢ã³ã¯ã«ã¹ãã©ãã: ããã¶ããèŠãã¹ãã©ãããã€ãããã€ããŒã«ãã»ã¯ã·ãŒã§ãšã¬ã¬ã³ããªå°è±¡ãäžããŸãã
6. ãã£ã³ããŒããŒã«: ååºã®ãã€ããŒã«ãå®å®æããããã¢ãã³ã§ã«ãžã¥ã¢ã«ãªå°è±¡ãäžããŸãã
7. ã¹ãã£ã¬ããããŒã«: 现é·ã圢ã®ãã€ããŒã«ããšã¬ã¬ã³ãã§ã¹ã¿ã€ãªãã·ã¥ãªå°è±¡ãäžããŸãã
以äžããã€ããŒã«ã·ã¥ãŒãºã®äžè¬çãªçš®é¡ãšãªããŸãã |
次ã®é¢æ°ã®ã³ãŒãããæãå¹ççãªæ¹æ³ã§å®è¡ã§ããããã«ãªãã¡ã¯ã¿ãªã³ã°ããŠãã ããã | ```python
def is_prime(n):
if n <= 1:
return False
for i in range(2, n):
if n % i == 0:
return False
return True
``` | ãã®é¢æ°ã¯ãäžããããæ°ãçŽ æ°ã§ãããã©ãããå€å®ããŸãããã ããäžããããæ°ã®2以äžã®æ°ã§å²ãåãããã©ããã調ã¹ããããã«ãŒããäžããããæ°-2åå®è¡ãããŸããããã¯éåžžã«å¹ççã§ã¯ãããŸããã
æãå¹ççã«ããã«ã¯ãäžããããæ°ã®å¹³æ¹æ ¹ãŸã§ã®æ°ã§å²ãããšã«ãããšãã«ãŒããå¿
èŠãªåæ°ãæžããŸãã
```python
def is_prime(n):
if n <= 1:
return False
for i in range(2, int(n**0.5) + 1):
if n % i == 0:
return False
return True
``` |
äžããããæç« ã®ããŒããç¹å®ããŠãããã«é¢é£ãã質åãïŒã€çšæããŠãã ããã | ããã¹ãïŒäººé¡ã¯ã芳å
ã«ãã£ãŠãå°çç°å¢ãç Žå£ããŠããŸããhotelã¯ããã«ãéè·¯ã®å»ºèšãæ°Žãšãšãã«ã®ãŒã®æ¶è²»ãªã©ãç°å¢ãç Žå£ããèŠå ã§ãã | 質åïŒïŒäººé¡ã®èгå
ã¯ãå°çç°å¢ãã©ã®ããã«ç Žå£ããŠããã®ã§ããããïŒ
質åïŒïŒhotelã¯ãç°å¢ãç Žå£ããèŠå ã®äžã€ã§ãããšãããŠããŸãããããã¯ã©ã®ããã«ããŠç°å¢ãç Žå£ããŠããã®ã§ããããïŒ
質åïŒïŒèгå
ã«ããç°å¢ç Žå£ãé²ãããã«ãã©ã®ãããªå¯Ÿçãå¿
èŠã ãšèããããŸããïŒ |
次ã®ããã¹ãããŒã¿ãããšã«ãPythonã§æãé »åºåèªã®æ°ãæ°ãã颿°ãäœæããªããã | null | ```python
from collections import Counter
import re
def count_most_common_word(text):
# ãã¿ãŒã³ãããã³ã°ã§æ¹è¡ããã³ã¯ãã¥ãšãŒã·ã§ã³ãé€å»
words = re.findall(r'\w+', text.lower())
# åèªã®åºçŸé »åºŠãã«ãŠã³ã
word_count = Counter(words)
# æãé »åºåèªã®æ°ãååŸ
most_common_word_count = word_count.most_common(1)[0][1]
return most_common_word_count
``` |
äžããããCSVãã¡ã€ã«ã®ããŒã¿ãèªã¿åããç¹å®ã®åã®ããŒã¿ã®ã¿ãæœåºããæ°ããCSVãã¡ã€ã«ã«ä¿åãã颿°ãèšè¿°ããŠãã ããã | å
¥åCSVãã¡ã€ã«: input.csv (å: id, name, age)ãæœåºããå: name | ```python
import pandas as pd
def extract_column(input_file, output_file, column):
# read the data from the input file
df = pd.read_csv(input_file)
# extract the data from the specified column
extracted_data = df[column]
# save the extracted data to a new CSV file
extracted_data.to_csv(output_file, index=False)
# example usage
extract_column('input.csv', 'output.csv', 'name')
``` |
æ¬¡ã®æç« ãä¿®æ£ããŠãæç« ã®å
容ãäžè²«æ§ãä¿ã¡ãªãããçŽæçã§ãããªãããæç« ã®é·ããç°¡æœã«ãªãããã«ããŠãã ããã | ãæ¥æ¬ã«ã¯ãå€ãã®çŸããå ŽæããããŸããç§ãã¡ã¯ãäžçã®ããããã®äººã
ã«åšç¥ãããŠããã®ã§ãç§ãã¡ã®åœã®çµ¶æ¯ãåºããããšãã§ããŸããããã¯ããããã®å Žæã®äžã€ã§ããå¯å£«å±±ããäžçã§æãé«ãå±±ã§ãããšããããšã«èµ·å ããŠããŸããã | ãæ¥æ¬ã«ã¯ãå€ãã®çŸããå ŽæããããŸããç¹ã«ãå¯å£«å±±ã¯äžçã§æãé«ãå±±ã®äžã€ãšããŠç¥ãããŠããŸãããã®ãããç§ãã¡ã®åœã®çµ¶æ¯ãåºããããšãã§ããŸããã |
ããã³ãŒããŒãã©ã³ãã®å£²ãèŸŒã¿æå¥ãæžããŠããããŸãããïŒãã©ã³ãåã¯ããã£ã³ããã¡ã€ã€ãŒã»ã³ãŒããŒãã§ãã¿ãŒã²ããå±€ã¯ã¢ãŠããã¢æŽŸã®ç·å¥³ã§ãã | null | ãã£ã³ããã¡ã€ã€ãŒã»ã³ãŒããŒã¯ãããªãã®ãããªã¢ãŠããã¢æŽŸã®ç·æ§ã女æ§ã«ãŽã£ããã®ã³ãŒããŒã§ãã倧èã§ãã£ãããšããå³ããã®ãã£ã³ããã¡ã€ã€ãŒã»ã³ãŒããŒã¯ã次ã®åéºã®ããã®å®ç§ãªæ°å転æã«ãªããŸãã
æé«çŽã®è±ããäœãããå®ç§ã«çç
ããããã£ã³ããã¡ã€ã€ãŒã»ã³ãŒããŒã¯ããªããã§æºè¶³æã®ãããã¬ã³ãã§ããå±±ã§ã®ãã€ãã³ã°ã森ã§ã®ãã£ã³ããæ°ããè¡ã®æ¢æ€ãªã©ããã£ã³ããã¡ã€ã€ãŒã»ã³ãŒããŒã¯ããããåéºã®ãäŸã«æé©ã§ãã
å質ãšä¿¡é Œæ§ãæ±ãã人ã®ããã«äœãããCampfire Coffeeã¯ãããªãã®ã¢ãŠããã¢ã»ã®ã¢ã«ãŽã£ãããããã¯ããã¯ã«å
¥ããããRVè»ã«å¿ã°ããŠããã°ããã€ã§ãããããã³ãŒããŒã飲ããŸãããŸããæã¡éã³ã«äŸ¿å©ãªããã±ãŒãžãªã®ã§ããã€ã§ãã©ãã§ãæž©ããã³ãŒããŒã楜ãããŸãã
æ©èµ·ãããŠãã¬ã€ã«ã«åºããããšããã倿ŽããããŠçãç«ã®ãã°ã§æãçºãããšããããã£ã³ããã¡ã€ã€ãŒã»ã³ãŒããŒããã°ã«çœ®ããŠãã ããã倧èªç¶ãåŸæããã®ã«ããã以äžã®ã³ãŒããŒã¯ãããŸãããä»ããæ³šæããŠãããªãã®éããã©ã€ãã¹ã¿ã€ã«ã«ãŽã£ããã®äžæ¯ãå³ãã£ãŠãã ããã |
æåã®è¿ä»£ãªãªã³ããã¯ã§ã¯ãããã€ã®ç«¶æãè¡ãããã®ã§ããããïŒ | null | æåã®è¿ä»£ãªãªã³ããã¯ãšã¯ã1896幎ã«éå¬ãããã¢ãããªãªã³ããã¯ãæããŸãããã®å€§äŒã§ã¯ãç ²äžžæãããã¯ã·ã³ã°ãã©ã³ãã³ã°ã銬è¡ããã§ã³ã·ã³ã°ãæ°Žæ³³ãééæããäœæãããã¹ãã¬ã¹ãªã³ã°ããããŠããŒããªã©43çš®ç®ã宿œãããŸããã |
ã¯ãŒã¯ã¢ãŠããããªãæ¹æ³ãæããŠãã ããã | null | 1. çæŽ»ç¿æ
£ãèŠçŽã: ãã©ã³ã¹ã®åããé£äºãå¿ãããååãªç¡ç ãåãããšã§ãäœã®ãšãã«ã®ãŒãç¶æããã¯ãŒã¯ã¢ãŠããããå¿
èŠæ§ãäœäžããŸãã
2. ä¹ãç©ãå©çšãã: ç§»åã«ã¯ãåŸæ©ãèªè»¢è»ã§ã¯ãªããè»ããã¹ãé»è»ãå©çšããããšã§ããšãã«ã®ãŒãç¯çŽã§ããŸãã
3. å®¶äºãæå°éã«ãã: æé€ãæŽæ¿¯ãæçãªã©ã®å®¶äºãæå°éã«ããããšã§ã身äœçãªãšãã«ã®ãŒãç¯çŽã§ããŸãã
4. 嚯楜ããªã³ã©ã€ã³ã«ç§»è¡ãã: æ ç»éè³ãèªæžãã²ãŒã ãªã©ã®å𝿥œããªã³ã©ã€ã³ã«ç§»è¡ããããšã§ã身äœãåããå¿
èŠæ§ãäœäžããŸãã
5. å人ãšã®äº€æµããªã³ã©ã€ã³ã«ç§»è¡ãã: å人ãšã®äº€æµããªã³ã©ã€ã³ã§è¡ãããšã§ãå€åºããå¿
èŠæ§ãäœäžããŸãã
6. ãªã©ãã¯ã¹ããæéãå¢ãã: ãšã¬ãçæ³ãæž©æ³ãªã©ã®ãªã©ãã¯ã¹æ³ãåãå
¥ããããšã§ãã¹ãã¬ã¹è§£æ¶ã«ã€ãªãããã¯ãŒã¯ã¢ãŠããããå¿
èŠæ§ãäœäžããŸãã
7. å®¶ã§ã®éããæ¹ã工倫ãã: å®¶ã®äžã§ãã身äœãåããããšãã§ããã¢ã¯ãã£ããã£ãåãå
¥ããããšã§ãã¯ãŒã¯ã¢ãŠããããå¿
èŠæ§ãäœäžããŸãã
8. ã¹ãã¬ã¹ãæºã蟌ãŸãªã: ã¹ãã¬ã¹ãæºã蟌ãŸããé©åã«çºæ£ããããšã§ãå¥åº·ãç¶æã§ããŸãã |
女ã¯å°å³ãèªããªããšããã®ã¯æ¬åœã | null | 女æ§ã¯å°å³ãèªããªããšããããšã¯ãç§åŠçã«èšŒæãããŠããŸãããç·å¥³ã®è³ã«ã¯æ§é çãªå·®ããããŸããããããå°å³ãèªãèœåã«åœ±é¿ãåãŒããã¯ããã£ãŠããŸããããŸããå°å³ãèªãèœåã«ã¯å€§ããªå人差ããããèšç·Žãçµéšã§ãå€ãã£ãŠããŸãããããã£ãŠã女æ§ãå°å³ãèªããªããšããäžè¬åã¯æ£ãããããŸããã |
5人ã®ãã£ã©ã¯ã¿ãŒãæªåœ¹ãš3人ã®ããŒããŒã䜿ã£ãŠç©èªãäœãã身äœçãªç¹åŸŽãå«ããå¿
èŠããã | null | ã¿ã€ãã«: ãæªåœ¹ããŒãã®é襲ã
ãããã:
ãã®ç©èªã¯ã5人ã®ãã£ã©ã¯ã¿ãŒãç¹ããªã壮倧ãªãã©ãã§ãã䞻人å
¬ã¯æªåœ¹ã®ããŒããã¢ã¢ã³ã圌ã¯ãã€ãŠåœãæã«å
¥ããããã«æŠããèŠæš©ãæ¡ã£ãããããã3人ã®ããŒããŒãã¡ã«ãã£ãŠåããããã®åº§ããåŒãããéããããã
ã¢ã¢ã³ã¯ãã€ãŠã®æ å
ãåãæ»ãããã«ãéªæªãªèšç»ãäŒãŠãããããŠåœŒã¯ãå±åŒ·ãªæŠå£«ãã¡ãåŒãé£ããåã³ç座ãçãã
ãããã圌ã®éãé»ããã®ãããããã€ãŠåœŒã®éæã«ãã£ãŠæ»
ãŒãããåœã®çåã§ããããŒã¬ã³ã¯ã埩è®ãæããã¹ãç«ã¡äžãããããŒã¬ã³ã¯ãã¢ã¢ã³ã®éªæªãªèšç»ã黿¢ããããã«ãæ£®ã®æ°ã®æé·ã§ãããšã«ãã£ãšãç¥ç§çãªåãæãéè¡åž«ã§ãããã¢ãšæãçµã¶ã
äžæ¹ãã¢ã¢ã³ã®å
ã«ã¯ããã€ãŠã®ä»²éã§ãã£ããã圌ã®éå¿ã«å«æªæãæ±ããŠããããã¿ãŠãã¹ã®æŠå£«ãã£ãã«ããå ããããã£ãã«ãã¯ãã¢ã¢ã³ã«åæãç¿»ãããšã決ãã3人ã®ããŒããŒãã¡ãšå
±ã«æŠãããšã決ããã
æ¿ããæŠããç¹°ãåºããããäž¡è
ã¯äºãã«äžæ©ãè²ããªããããããã¢ã¢ã³ã®éæã¯åŒ·å€§ã§ã圌ã®éªæªãªåã¯æ¬¡ç¬¬ã«å¢å€§ããŠããã
ããŒã¬ã³ãã¡ã¯ãã¢ã¢ã³ãåãããã«åãåãããæåŸã®æŠãã«æãããã®çµæ«ã¯æãããŠâŠâŠã |
ãžã§ã³ãšãžã§ãŒã³ã¯ãªãã³ã°ã§äžç·ã«ãã¬ããèŠãªãããé»åã¬ã³ãžã§äœã£ããããã³ãŒã³ã®è¢ããã£ãããšåãåã£ãŠããããžã§ãŒã³ã¯ãã€ã¬ã«è¡ãããã«éšå±ãå°ãé¢ããããžã§ãŒã³ãããªãéããžã§ã³ã¯è¢ã空ã«ãªããŸã§ãã§ããã ãå€ãã®ãããã³ãŒã³ãçŽ æ©ãé£ã¹ãããžã§ãŒã³ã¯ãã®åŸéšå±ã«æ»ããè¢ã«æã䌞ã°ããã©ããããã®éã®ãããã³ãŒã³ãèŠã€ãããšæã? | null | ãžã§ãŒã³ãéšå±ã«æ»ã£ããšãã«è¢ã«æ®ã£ãŠãããããã³ãŒã³ã®éã¯ãããã§ãããªããªãããžã§ã³ããžã§ãŒã³ãããªãéã«ã§ããã ãå€ãã®ãããã³ãŒã³ãé£ã¹ãŠããŸã£ãããã§ãããžã§ãŒã³ãéšå±ã«æ»ã£ããšãã«ã¯ãè¢ã¯ã»ãšãã©ç©ºã«ãªã£ãŠãããããããã¯ãã§ã«å®å
šã«ç©ºã«ãªã£ãŠããå¯èœæ§ãé«ãã§ãã |
ãã®æ ç»ã«é¢ããæ
å ±ãç°¡åã«ãŸãšããŠãã ããïŒãã€ã»ã¹ããŒãªãŒ | null | ãã€ã»ã¹ããŒãªãŒã¯1995幎ã«å
¬éãããã¢ã¡ãªã«ã®ã¢ãã¡ãŒã·ã§ã³æ ç»ã§ããã¯ãµãŒã»ã¢ãã¡ãŒã·ã§ã³ã»ã¹ã¿ãžãªã«ãã£ãŠè£œäœãããŸããããã®åŸ2022幎ãŸã§ã«4äœç®ãŸã§è£œäœãããã·ãªãŒãºãšãªã£ãŠããŸãããã®ç©èªã®äž»äººå
¬ã¯ã«ãŠããŒã€äººåœ¢ã®ãŠããã£ã§ãã
1äœç®ã®ãã€ã»ã¹ããŒãªãŒã§ã¯ã䞻人å
¬ã®ãŠããã£ãæ°ãããã£ãŠæ¥ãããã¡ãã®ããºã»ã©ã€ãã€ã€ãŒãšè¡çªãã仲éãããŠããŸããŸããããããæåŸã«ã¯2人ã¯åãåãããä»ã®ããã¡ããã¡ãšäžç·ã«äž»äººå
¬ã®å§ã®ã¢ã³ãã£ã®å
ãžåž°ããŸãã
ãã®æ ç»ã¯ã¢ã«ãããŒè³ã«2åããããŒããããã¢ãã¡ãŒã·ã§ã³æ ç»ãšããŠå²äžåããŠã¢ã«ãããŒè³ã«ããããŒããããäœåã§ããããŸãããŸããã€ã®ãªã¹ã§ã¯æãæåããæ ç»ã®1ã€ãšããŠèªããããŠããŸãã
ãã®æ ç»ã¯å
šäžççã«å€§ãããããå€ãã®è³ãåè³ããŸããããã®åŸãç¶ç·šã掟çäœåã補äœããããã€ã»ã¹ããŒãªãŒã¯çŸåšããªãæããç¶ããŠããŸãã |
以äžã®æç« ãèªãã§ãæ¬ èœããŠããéšåãåããŠãã ããã
ã仿¥ã¯ãæã \[æ¬ èœ\] ã®äžãåæãæãåºããŸãããã | null | å€
ãã®æç« ã¯ãã仿¥ã¯ãæãå€ã®äžãåæãæãåºããŸãããããšããæå³ã§ãããæ¬ èœãã®éšåã«ã¯ããå€ããšããèšèãé©åã«åããããŸãã |
ãªã人é¡ã¯ãããŸã§å®å®äººãçºèŠã§ããªãã£ãã®ã | null | ãã®çãã¯ç§ãã¡ã«ãšã£ãŠæªç¥ã®é åã§ãããå²åŠçãªèŠçŽ ã宿çãªèŠè§£ãããåžåããç¯å²ãæããŠããŸãã
å®å®äººã®ååšã芳枬ãã蚌æãããšãã芳ç¹ããèŠããšãç§åŠçãªé²æ©ãšåãããŠèæ
®ããå¿
èŠããããŸããçŸåšãç§ãã¡ãæ¥è§Šã詊ã¿ãŠããã®ã¯æ¯èŒççãåšæ³¢æ°ç¯å²ã§ãããæã
ã®é河系å
ã§ããå®å®äººãšã®ã³ãã¥ãã±ãŒã·ã§ã³ãå°é£ã§ããå¯èœæ§ããããŸããå ããŠãå°çäžã§ãããæªã è§£æãããŠããªãèªç¶çŸè±¡ã¯æ°å€ããæã
ã®èªèã®éçã瀺ããŠããŸãã
é²åã®èгç¹ããèŠããšãå°çå€çåœäœã®ååšã芳枬ããããšã¯ããã®çåœäœã®é²åã®çµæã§ããããã®é²åãæã
ã®çè§£ãè¶
ããŠããå ŽåãèããããŸãã
ããã«ãç¥ç§åŠã®èгç¹ããèŠããšãå®å®äººãšã®æ¥è§Šã¯æã
ã®æèã®ã¬ãã«ãæçããŠããããšãæå³ãããã®æçããŸã 蚪ããŠããªãããã«ãå®å®äººãšæ¥è§Šããæºåãã§ããŠããªãå¯èœæ§ãããããŸãã
ãããã®èŠå ã¯ãæã
ãå®å®äººãçºèŠããããšããªãã£ãäž»ãªçç±ã§ãããšèããããŸããããããã¯æã
ã«ãšã£ãŠæªè§£æã®åéã§ãããçããèŠã€ããããšã¯æ°žé ã®èª²é¡ãšãªãã§ãããã |
åŠæ ¡ã¯AIãœãããçåŸã«äœ¿ãããã¹ããïŒ | null | ãã¡ããã ãç§ãã¡ã¯ãå埩åã®æè²ãããããåµé çã§åé¡è§£æ±ºåã®æè²ãçè§£ã«åãæ¿ããå¿
èŠãããã |
ããŒãžã§ã³2ã®UUIDãçæããã | null | ããŒãžã§ã³2ã®UUIDãã©ã®ããã«èŠãããã®äŸãçæããããšã¯ã§ããŸããããã¹ãŠã®åçã¯ããã¹ãããŒã¹ã®ãã¬ãŒãã³ã°ããŒã¿ã®çµ±èšåæããçæãããŸããã€ãŸããããŒãžã§ã³2ã®UUIDãçæããããã®å
¬åŒä»æ§ã«ã¯åŸããªããšããããšã§ããããŒãžã§ã³2ã®UUIDã¯ãã·ã¹ãã æ
å ±ãšä¹±æ°ã®çµã¿åããã䜿çšããã¯ãã§ãã
ããã«ãUUIDããŒãžã§ã³2ã¯æ®éçã«ãµããŒããããŠããããã§ã¯ãªããã»ãã¥ãªãã£äžã®æžå¿µãããããã䜿çšã¯æšå¥šãããŠããªããçŸåšã§ã¯UUIDããŒãžã§ã³4ã®äœ¿çšãæšå¥šãããŠããŸãã
以äžã¯ããŒãžã§ã³2ã®UUIDã®äŸã§ãïŒ
```
000003e8-dbe7-21ed-9800-325096b39f47
``` |
å®å®ã«ã¯ããã€ã®ååããããŸããïŒ | null | 芳枬å¯èœãªå®å®ã«ã¯çŽ10^82åã®ååãããã |
äžããããã¬ã·ããå
ã«ãã«ããªãŒã150kcal以äžã®ç°¡åãªã©ã³ãã¬ã·ããææ¡ããªããã | ããããšåµã®ç
®ãåµãµã©ãã¬ã·ã: å°ããã®ãããã3åãåµã2åå¿
èŠã§ãããŸããããããè¹ã§ãåµã8åã»ã©è»œãç
®èŸŒã¿ãŸããæ¬¡ã«ãåµãèåãã«ããŠãè¹ã§ãããããšæ··ãåãããŸããããã«ãããšããŒãºãå°ãå ããŠå³ä»ããããŸãã | ç°¡åãªã©ã³ãã¬ã·ããšããŠããããããšåµã®ãµã©ãããææ¡ããŸãã
ææã¯ãå°ããã®ããã3åãšåµ2åã§ãããŸããããããᅵᅵᅵᅵᅵBASEã§15åã»ã©è¹ã§ãŸãããã®åŸãåµãå¥ã®éã«å
¥ããæ°Žã泚ãã8åã»ã©è»œãç
®èŸŒã¿ãŸãã
次ã«ãåµãèåãã«ããŠãè¹ã§ãããããšäžç·ã«ããŠã«ã«å
¥ããŸãããããŠãããšããŒãºãå°ãã1æ¯å ããŠãããæ··ãåãããŸããæåŸã«ãå³ãèŠãŠå¡©ããããã§å³ã調ããŸãã
ãã®ã¬ã·ãã¯ãã«ããªãŒã150kcal以äžã«åãŸãããã«èª¿æŽãããŠããŸãã |
ãªãããŒãºã«ã¯å®å
šãªã«ããããã®ãïŒ | null | ç³ãèš³ããããŸããããã質åã®æå³ãããããããŸãããã«ããšããŒãºã®å®å
šæ§ã«ã€ããŠãå
·äœçã«äœããç¥ãã«ãªãããã®ããããäžåºŠèšãæãããããã£ãšæèããèããããã ããŸããïŒæ¬¡ã®è³ªåãèããããŸãïŒ
- ããŒãºã®çš®é¡ã«ãã£ãŠã¯ãã«ããåææãšããŠäœ¿çšããŠãããã®ããããŸãããããã¯ãªãã§ããïŒãããããªããã«ãã³ããŒã«ãããªãŒã®ãããªããŒãºã«ã¯ã颚å³ã飿ãåºãããã«ãæå³çã«ã«ããå ããããŠããŸãã
- ã«ãã®çããããŒãºãé£ã¹ãããšã«ããå¥åº·è¢«å®³ãå¿é
ã§ããïŒãããããªããããŒãºã®ã«ãã«ã¯æå®³ãªãã®ãããã°ãå°éãªãããããã¯ããŒãºãé©åã«çæãããŠããã°ãé£ã¹ãŠãå®å
šãªãã®ããããŸãã
- ããŒãºãšã«ãã«ã€ããŠãä»ã«æ°ã«ãªãç¹ã¯ãããŸããïŒè©³ããæããŠããã ããã°ãæçãªæ
å ±ãæäŸã§ãããããããŸããã |
åé³ã§æ§æãããŠãã4æåã®ãã³ããŒãã¬ãŒãã¯ãæ¯é³ãšãã®åŸã®åé³ãæ¬¡ã«æ°åã§æ§æãããŠããŸããïŒïŒãã®åé¡ã«ã€ããŠã¯ãYãæ¯é³ãšèããŠãã ãããïŒ | null | ããã¯ç°¡åã«æããŸãã
ãã ããããã€ãã®ã³ãŒãã䜿çšããŠããã³ããŒãã¬ãŒãã«é©åãªæåããããã©ããã確èªããŸãã<llm-code>
# List of vowels
vowels = 'AEIOUY'
# List of consonants
consonants = 'BCDFGHJKLMNPQRSTVWXZ'
# List of digits
digits = '0123456789'
# There are N different vowels and M different consonants
num_vowels = len(vowels)
num_consonants = len(consonants)
# Calculate the total number of license plates
total_num_license_plates = num_consonants * num_vowels * num_consonants * len(digits)
total_num_license_plates
</llm-code><llm-code-output>
24000
</llm-code-output>
ãã®ãããªãã³ããŒãã¬ãŒãã®æ°ã¯ã$ \\ boxed {24000} $ã§ãã |
ã³ã³ãã€ã©ã¯ããã³ããšã³ããšããã¯ãšã³ãã§æ§æãããŠãããäž¡è
ã説æããäž¡è
ãã©ã®ããã«ããŠäžéã§åºäŒãã®ãã説æãã | null | ã³ã³ãã€ã©ã¯ããã°ã©ã èšèªã®ãœãŒã¹ã³ãŒãã翻蚳ããŠå®è¡å¯èœãªåœ¢åŒã«å€æããããŒã«ã§ãéåžžãããã³ããšã³ããšããã¯ãšã³ãã®äºã€ã®éšåã§æ§æãããŸãã以äžã®é åºã§ããããã®éšåã«ã€ããŠèª¬æããããããã©ã®ããã«äžéã§åºäŒããã説æããŸãã
1. **ããã³ããšã³ã**
ããã³ããšã³ãã¯ãã³ã³ãã€ã©ã®å
¥åãšãªããœãŒã¹ã³ãŒããè§£æã»å€æããéšåã§ããäž»ãªæ©èœã¯ä»¥äžã®éãã§ãã
- **ã¬ãã·ã«ã«åæïŒããŒã¯ã³åïŒ**ïŒãœãŒã¹ã³ãŒãããã¿ã°ä»ããããããŒã¯ã³ïŒããŒã¯ãŒããèšå·ãèå¥åãªã©ïŒãæœåºããã
- **æ§æè§£æ**ïŒããŒã¯ã³ãéå±€çãªæ§é ïŒASTïŒAbstract Syntax TreeïŒã«å€æããããã®ã¹ãããã§ã¯ããœãŒã¹ã³ãŒãã®æ§æããã§ãã¯ãããã
- **æå³è§£æïŒã»ãã³ãã£ãã¯è§£æïŒ**ïŒASTãè©äŸ¡ãã倿°ã®å®çŸ©ã䜿çšã颿°åŒã³åºããæŒç®åã®æå³ãªã©ãçè§£ããããã®æç¹ã§åãã§ãã¯ãè¡ãããããšãå€ãã
- **äžéèšèªãžã®å€æ**ïŒæå³è§£æã®çµæããåŸæ®µã§ã®æé©åãã³ãŒãçæã«é©ããäžéèšèªãžå€æããã
2. **ããã¯ãšã³ã**
ããã¯ãšã³ãã¯ãäžéèšèªã«åºã¥ããŠå®è¡å¯èœãªã³ãŒããçæããéšåã§ããäž»ãªæ©èœã¯ä»¥äžã®éãã§ãã
- **æé©å**ïŒäžéèšèªã®è¡šçŸãå¹çåããã倿°ãåœä»€ã®é åºã倿Žããããç¡é§ãªåœä»€ãåé€ãããããã
- **ã³ãŒãçæ**ïŒæé©åãããäžéèšèªãç®çã®ããã»ããµãå®è¡ç°å¢åãã«å€æããããã®æ®µéã§ã¯ãååœä»€ã®ããããã¿ãŒã³ãã¬ãžã¹ã¿ã®å²ãåœãŠãªã©ã詳现ãªå®è¡å¯èœãªã³ãŒããçæãããã
3. **äžééšå**
äžèšã®æ©èœã«ãã£ãŠãã³ã³ãã€ã©ã¯ããã³ããšã³ããšããã¯ãšã³ãã§é£æºãããœãŒã¹ã³ãŒããå®è¡å¯èœãªã³ãŒãã«å€æããŸãããã®éãããã³ããšã³ãã§çæãããäžéèšèªãããã¯ãšã³ãã®æé©åãã³ãŒãçæã«å©çšãããŸãã
äžéèšèªã¯ãæé©åãã³ãŒãçæãå¹ççã«è¡ãããã®æ±çšçãªè¡šçŸã§ãããã³ã³ãã€ã©ã«ãã£ãŠç°ãªãçš®é¡ã®ãã®ã䜿çšãããŸããäŸãã°ãGCCã¯GIMPLEãClangã¯LLVM IRãæ¡çšããŠããŸãã
以äžããã³ã³ãã€ã©ã®ããã³ããšã³ããšããã¯ãšã³ãããããŠäžééšåã®èª¬æã§ãããããã®é åã¯å¯æ¥ã«é£æºããã³ã³ãã€ã©ã®èšèšãšããã©ãŒãã³ã¹ã«å€§ããªåœ±é¿ãäžããŸãã |
ã€ãã£ãªã ã®burning your bridgesã¯ã©ããªæå³ïŒ | null | ãburning your bridgesããšããã€ãã£ãªã ã¯ããæ©ãçŒãããšããæå³ãæã¡ãŸããããã¯ãåŸã§åŸæãããããªããšãããªãããã«ããããã®è¡šçŸãšããŠäœ¿ãããŸããããšãã°ã人éé¢ä¿ã§è¯ãå°è±¡ãäžããªãã£ã人ããåŸã«ãªã£ãŠãã®é¢ä¿ãå©çšããããšãããããªå Žåã§ãããã®æ
£çšå¥ã¯ãå人é¢ä¿ãå°±è·ãªã©ãããŸããŸãªã¿ã€ãã®äººéé¢ä¿ãããŸããããªãããšã衚ãæç« ã«äœ¿ãããšãã§ããŸãã
ãã®ã€ãã£ãªã ã®èµ·æºã¯ãããŒãæä»£ã«ãŸã§é¡ããŸããåœæãå
µå£«ãã¡ãå·ãè°·ãæž¡ãããã«ã¯æ©ãå¿
èŠã§ããããæµã远ããããŠããæäžã«ãã®æ©ãçãããšããæŠç¥ããšãããããšããããŸãããããã¯ãåŸã§åŒãè¿ããšããéžæè¢ãæã£ãŠããããšãæå³ãããæ©ãçŒãããšãã衚çŸãçãŸããŸããã
çŸä»£ã§ã¯ããã®è¡šçŸã¯äž»ã«ããžãã¹ããã£ãªã¢ã®æèã§äœ¿ãããŸããããšãã°ãããä»äºãèŸãããšãã«ããã®äŒç€Ÿãšã®é¢ä¿ãæªåããããããªããšããããšããburning your bridgesããšè¡šçŸãããããšããããŸããããã¯ãèªåã®éžæãåŸã§åé¡ãåŒãèµ·ããå¯èœæ§ãããããšã瀺ããŠããŸãã
ãã®ã€ãã£ãªã ã¯ãå°±è·æŽ»åãè»¢è·æŽ»åãªã©ãããŸããŸãªå Žé¢ã§äœ¿ãããŸããããšãã°ãããäŒæ¥ãžã®å°±è·ã決ãŸã£ãåŸã«ãä»ã®äŒæ¥ãžã®é¢æ¥ãåããããšã¯ããburning your bridgesããšè¡šçŸãããããšããããŸããããã¯ãåŸã§åŸæãããããªããšãããªãããã«ãšããæå³åããå«ãã§ããŸãã
ãã®ããã«ããburning your bridgesããšããã€ãã£ãªã ã¯ãåŸã§åŸæãããããªããšãããªãããã«ããããšã衚çŸããããã«äœ¿ãããŸããå人é¢ä¿ãå°±è·ãªã©ãããŸããŸãªã¿ã€ãã®äººéé¢ä¿ãããŸããããªãããšã衚ãæç« ã«äœ¿ãããšãã§ããŸãã |
ç±³åœã§æã人æ°ã®ããç¬çš®ã¯äœã§ããïŒ | null | ã¢ã¡ãªã«ã§æã人æ°ã®ããç¬çš®ã¯ãã©ãã©ããŒã«ã»ã¬ããªããŒã§ããã©ãã©ããŒã«ã»ã¬ããªããŒã¯ããã®ç¥èœã®é«ããå¿ èª å¿ããããŠäººæã£ããã§ç¥ãããŠããŸãã圌ãã¯ã¢ã¡ãªã«ã§æãäžè¬çãªå®¶åºç¬ã§ããããŸããç²å°ç¬ãèŠå¯ç¬ãšããŠãããæŽ»èºããŠããŸãã
ã©ãã©ããŒã«ã»ã¬ããªããŒãã¢ã¡ãªã«ã§äººæ°ã®ããçç±ã¯ä»ã«ããããŸãã圌ãã¯ãšãŠãææ
æ·±ããåäŸãã¡ãšãäžæã«ãã£ãŠãããäžã倧å€è³¢ãããã€ããããç¬çš®ã§ããããŸãããŸããã©ãã©ããŒã«ã»ã¬ããªããŒã¯ãå®¶æã«ãšã£ãŠæãå¿ å®ãªããŒãããŒã«ãªãããšãã§ãããŸããåªããæ°Žé³¥ã®ååç¬ãšããŠãç¥ãããŠããŸãããããã®çç±ãããã©ãã©ããŒã«ã»ã¬ããªããŒã¯ã¢ã¡ãªã«ã§æã人æ°ã®ããç¬çš®ã®ã²ãšã€ãšãªã£ãŠããŸãã |
ãã®æç« ã®æåãæç¯åäœã§è§£æããæç¯ããšã«åºåã£ãŠãã ããã | ç§ãã¡ã¯æ¯é±æšææ¥ã«å人ãšãã¯ããã¯ã«è¡ãã®ãå®äŸã§ãã | ç§ãã¡ã¯ [æ¯é±] [æšææ¥] [ã«] [å人] [ãš] [ãã¯ããã¯] [ã«] [è¡ã] [ã®] [ã] [å®äŸ] [ã§] ãã
ãã®æç« ã¯ä»¥äžã®æç¯ã§æ§æãããŠããŸãã
1. ç§ãã¡ã¯
2. æ¯é±
3. æšææ¥
4. ã«
5. å人
6. ãš
7. ãã¯ããã¯
8. ã«
9. è¡ã
10. ã®
11. ã
12. å®äŸ
13. ã§
14. ã |
äžããããæç« ã®äžã§ãç§åŠçãªäºå®ãèªã£ãŠããéšåãçªãæ¢ããŠãã ããã | æµ·å€ã®ç ç©¶è
ãçºèŠããããšã«ããã°ã人éã®çããŠããéããè¡æ¶²ã®äžã«ã¯åžžã«ãããã€ãã®ãŠã€ã«ã¹ãååšãç¶ããŠãããšããã | æµ·å€ã®ç ç©¶è
ãçºèŠããããšã«ããã°ã人éã®çããŠããéããè¡æ¶²ã®äžã«ã¯åžžã«ãããã€ãã®ãŠã€ã«ã¹ãååšãç¶ããŠãããšãã**ç§åŠçãªäºå®**ããããŸãã |
ã°ãªã å
åŒã®ã©ã®ç«¥è©±ãããã£ã¯ã·ã§ã³ã§ã¯ãªããæŽå²çãªåºæ¥äºã«åºã¥ããŠãããšèšããã ããã? | null | ã°ãªã å
åŒã®ç«¥è©±ã®äžã«ã¯ãå®è©±ãåºã«ãããšãããç©èªãããã€ãååšããŸãããã ãããã®å€ãã¯ã°ãªã å
åŒã«ãã£ãŠå話ãããå
ã®ç©èªãšã¯ç°ãªã圢ã«å€åããŠããŸãã以äžã«ãã®ããã€ãã瀺ããŸãã
1. ã·ã³ãã¬ã©ïŒAschenputtelïŒ: ã·ã³ãã¬ã©ã®ç©èªã¯äžçäžã§åºãç¥ãããŠããŸããå
ã®ç©èªã¯ã€ã¿ãªã¢ã®ãã¢ãã·ã§ã³putelãã§ã17äžçŽã«ãã€ãã§ç¿»èš³ãããŸãããã°ãªã å
åŒã¯ãã®ç©èªããã°ãªã 童話éãã«åé²ãããã以æ¥ãã®è©±ã¯ãã€ãèªåã§ã人æ°ãåããŠããŸãã
2. ãã³ãŒã«ãšã°ã¬ãŒãã«ïŒHÀnsel und GretelïŒ: ãã®ç©èªã¯ã15äžçŽé ã®ãã©ã³ã¹ã«èµ·æºãæã€ãšãããŸããã°ãªã å
åŒã¯åçã§ã¯ãã®è©±ãåé²ãããåŸã®çã§è¿œå ããŸããã
3. ãã¬ãŒã¡ã³ã®é³æ¥œéïŒDie Bremer StadtmusikantenïŒ: ãã®ç©èªã®ååã¯ãã€ãã®æ°è©±ã§ããããã¬ãŒã¡ã³ã«å®åšã®é³æ¥œéããã£ããšããèšé²ã¯ãããŸããã
ãªããã°ãªã å
åŒã¯äžçäžã®æ°è©±ãäŒèª¬ãåéãããã€ãèªã§å話ããããããããå
šãŠãå³å¯ã«ã¯ãå®è©±ããšã¯èšããŸããããããã¯ãããã人é¡å
±éã®å£æ¿æåã®å®åº«ãšèŠãããšãã§ããŸãã |
ããã³ã¯æ€ç©ã§ã¯ãªããšèããŠããŸãã...ãç§ã«ã¯ãŸã æ€ç©ã«ããèŠããªãã®ã§ããã | null | èé¡çã¯æ€ç©çãããåç©çã«è¿ãããŸããåç©ãèé¡ãæ€ç©ã®ããã«å
åæã¯ã§ããªããçãæ®ãããã«ã¯ä»ã®çç©ãæåããªããã°ãªããªãã®ã ããã¯ãã®ã¬ãã«ã§ãå€ãã®é¡äŒŒç¹ãããã |
ãªãã¢ã€ã«ã©ã³ãã蚪ããå¿
èŠãããã®ã§ããããïŒ | null | ã¢ã€ã«ã©ã³ãã¯ãçŸããèªç¶ãæŽå²çãªéºç£ãè±ããªæåãèžè¡ãªã©ã蚪ãã䟡å€ã®ããé
åãæ°å€ãæã€å Žæã§ãããŸããã¢ã€ã«ã©ã³ãã¯äžççã«æåãªã¢ã€ã«ã©ã³ã鳿¥œããã³ã¹ã®æ¬å Žã§ãããäŒçµ±çãªããã鳿¥œãã§ã¹ãã£ãã«ãªã©ããŠããŒã¯ãªæåäœéšãã§ããããšãé
åã®äžã€ã§ããããã«ãã¢ã€ã«ã©ã³ãã¯é£æã®å®åº«ã§ããããå°å
ã®ãã¬ãã·ã¥ãªé£æã䜿çšããçŸå³ããæçãæ¥œããããšãã§ããŸãã以äžã®çç±ãããã¢ã€ã«ã©ã³ãã蚪ããæ
è¡è
ã¯ãèªç¶ãæåãé£ã®ãã¹ãŠã楜ããããšãã§ããŸãã |
èãé«ãèŠããæ¹æ³ã«ã€ããŠæã㊠| null | èãé«ãèŠããæ¹æ³ã«ã¯ã以äžã®ãããªãã®ããããŸãã
1. **髪å**ïŒé«ãäœçœ®ã§é«ªããŸãšããããããªã¥ãŒã ã®ãã髪åãéžã¶ããšã§ãèŠç·ãäžããããšãã§ããŸãã
2. **ã¡ã€ã¯**ïŒããŒãºã·ã£ããŠããã€ã©ã€ãã䜿ã£ãŠãé¡ã®ç«äœæã匷調ããèŠç·ãäžã«éããããšãã§ããŸãã
3. **æè£
**ïŒVããã¯ãã¹ã¯ãšã¢ããã¯ã®ãããã¹ã¯ãéŠãé·ãèŠããããšãã§ããŸãããŸãããã€ãŠãšã¹ãã®ããã ã¹ããã³ã°äžã®ã³ãŒãã¯ãèŠèŠçã«èãé«ãèŠããããšãã§ããŸãã
4. **å§¿å¢**ïŒæ£ããå§¿å¢ãå¿ãããããšã§ãå®éã®èº«é·ãããèãé«ãèŠããããšããããŸãããŸããç«èã¯èãäœãèŠããã®ã§æ³šæãå¿
èŠã§ãã
5. **éŽ**ïŒããŒã«ããã©ãããã©ãŒã ã·ã¥ãŒãºãå±¥ãããšã§ã身é·ãé«ãèŠããããšãã§ããŸãã
ãããã®æ¹æ³ã詊ããŠãèãé«ãèŠããããšãã§ããŸãããã ããèªåã®äœåãé°å²æ°ã«åã£ãæ¹æ³ãéžã¶ããšãéèŠã§ãã |
çžäºå€èª¿æªã¿ãšã¯? | null | çžäºå€èª¿æªã¿ïŒçžäºmodulation distortionïŒãšã¯ã黿°ä¿¡å·ã®äŒéãåŠçã«ãããŠã2ã€ä»¥äžã®ä¿¡å·ãçžäºäœçšãèµ·ãããæãŸãããªãæªã¿ãçããçŸè±¡ãæããŸãããã®çŸè±¡ã¯ãäžè¬çã«éç·åœ¢ãªã·ã¹ãã ãåè·¯ã«ãããŠçºçããŸãã
çžäºå€èª¿æªã¿ã®åå ã¯ãéåžžãéç·åœ¢ãªèŠçŽ ãä¿¡å·ã®çµã¿åãããå€èª¿ããããšã«ãããã®ã§ããäŸãã°ãã¢ã³ããå€èª¿åšãªã©ã®éç·åœ¢ãªé»ååè·¯ã«ãããŠãè€æ°ã®ç°ãªãåšæ³¢æ°æåãåæã«ååšãããšããããã®æåãçžäºäœçšãèµ·ãããæ°ããªäžèŠãªåšæ³¢æ°æåãçããããšããããŸãããã®æ°ããªåšæ³¢æ°æåã¯ãå
ã
ã®ä¿¡å·ãšã¯ç°ãªãåšæ³¢æ°ãæã€ãããçžäºå€èª¿æªã¿ãšåŒã°ããããšããããŸãã
çžäºå€èª¿æªã¿ã¯ãå€éåãããä¿¡å·äŒéè·¯ãæ··ä¿¡ç°å¢ã«ãããŠåé¡ãšãªãããšããããŸãããã®ãããªç°å¢ã§ã¯ãè€æ°ã®ä¿¡å·ãåãäŒéè·¯ãå
±æããäºãã«åœ±é¿ãåãŒãããšããããŸãããã®çµæãäžéšã®ä¿¡å·ãä»ã®ä¿¡å·ãå€èª¿ããããšã§çžäºå€èª¿æªã¿ãçããåä¿¡åŽã§ã®ä¿¡å·åçæã劚ããããããšããããŸãã
çžäºå€èª¿æªã¿ãæå¶ããããã«ã¯ãèšè𿮵éã§éç·åœ¢ãªèŠçŽ ãæå°éã«æããããšãéèŠã§ãããŸããæ··ä¿¡ãåé¿ããä¿¡å·éã®çžäºäœçšãæå°éã«æããããšã广çã§ããããã«ãåä¿¡åŽã§ã¯ãçžäºå€èª¿æªã¿ãé€å»ãŸãã¯äœæžããããã®ç¹æ®ãªãã£ã«ã¿ãªã³ã°æè¡ãé©çšãããããšããããŸãã |
ã©ããã£ãŠå±±ã«ç»ãã®? | null | å±±ã«ç»ãããã®äžè¬çãªæ¹æ³ã¯æ¬¡ã®ãšããã§ãã
1. æºå: ç»å±±ã«å¿
èŠãªè£
åãé£æãæ°Žãå°å³ãªã©ãæºåããŸããè£
åã¯ç®çå°ã倩åã«ãã£ãŠç°ãªããããé©åãªã®ã¢ãéžã³ãŸãããããŸããç»å±±ã®ãã¬ãŒãã³ã°ãäœåäœããäºåã«è¡ãããšãããããããŸãã
2. ã«ãŒãéžæ: ç»å±±ã«ãŒãã¯ããã€ãã®éžæè¢ããããŸããå°å³ãã¬ã€ãããã¯ããããã¯çŸå°ã®æ
å ±ã確èªããèªåã®ã¬ãã«ã«åã£ãã«ãŒããéžã³ãŸãããã
3. ç»å±±èšç»: ç»å±±ã®éå§æéãç®çå°ãäŒæ©å Žæãäžå±±æéãªã©ãèæ
®ããç»å±±èšç»ãç«ãŠãŸãã倩åã®å€åã«ã泚æããå¿
èŠã«å¿ããŠèšç»ã調æŽããŸãããã
4. ç»å±±: ç»å±±å£ãç»å±±éããã¹ã¿ãŒããããã¬ã€ã«ããã©ããŸããå®å
šã«æ³šæããèªç¶ç°å¢ãæ¯è²ã楜ãã¿ãªããé²ã¿ãŸãããŸããé©åãªããŒã¹é
åã§ç»ããäœåãæž©åããŸãããã
5. å±±é ã§ã®äŒæ©ã»äžå±±: å±±é ã«å°éããããæ¯è²ãå ªèœããªããäŒæ©ããŸããäžå±±ã®éãæ°ãã€ããŠé²ã¿ãç¡äºã«äžå±±å£ã«å°çããŸãã
ç»å±±ã«ã¯ãªã¹ã¯ã䌎ããŸãã®ã§ãåå¿è
ã¯ã¬ã€ããã€ããããçµéšè±å¯ãªç»å±±ä»²éãšäžç·ã«è¡ãããšãããããããŸãããŸããç»å±±èšç»ã¯äºåã«äŒããŠãããªã©ãå®å
šå¯Ÿçãäžå
šã«ããŸãããã |
Journalistã®ããªãã¯ãæ°èèšäºã®è»œãæšé¡ãææ¡ããŠãã ãããèšäºã¯æ°ãã倪éœé»æ± ããã«ã«ã€ããŠã§ããããäž¡æ¹ã®æ¹åã«æ¥å
ãåžåããããå¹ççã§ããããšãåãäžããŠããŸãã | null | äž¡é¢åžåå倪éœé»æ± ãé²åãç¶ããåçå¯èœãšãã«ã®ãŒ |
ã€ãšã¹ãšã¬ã³ãžãŒã®å¯Ÿè«ãããŒã«ãã¬ã€ããŠããã ããŸããã? ã©ãããããããé¡ãããããŸãã | null | **ã€ãšã¹**ïŒã¢ãŒãŒã®åæã®ããã«ã俺ã®èšãããšãèããŠããããããããã°å¹žãã«ãªããã
**ã¬ã³ãžãŒ**ïŒåã®èšãããšãèããŠããŸãã°ãä¿ºã¯æè
ãšãªãã ããã俺ã«ã¯ãããŸã§ãéæŽåãšçå®ã®ã¿ãéã ã
**ã€ãšã¹**ïŒä¿ºã¯ãã®éã確ãã«èŠãŠããããããŠãã®éã¯æ£ãããšä¿¡ããŠããã俺ã瀺ã幞çŠã®éãé²ãè
ã¯ãè±ããªæå®ãåŸãã ããã
**ã¬ã³ãžãŒ**ïŒå¹žçŠãçŽæãããªã©ã欺çã«éãããã©ã®ãããªéãéžãŒããšããèŠãã¿ã¯ã€ããŸãšããã ããããé¿ããããšã¯ãªããªãã
**ã€ãšã¹**ïŒã¬ã³ãžãŒããåãèªãèŠæ©ã®éã¯ã俺ã®èªã幞çŠã®éãžãšç¹ãã£ãŠããããã®éãæ©ãè
ã¯çãå
±ã«æãããã®ã ã
**ã¬ã³ãžãŒ**ïŒåœãã®å¹žçŠãæ²ããæ°ã誀ã£ãéãžå°ããã®è¡ãã¯ãæªéã«çãããæãã¯åœããæã¡ç ããçå®ã®ã¿ã远ãã®ã ã
**ã€ãšã¹**ïŒçå®ã ããéèŠãªã®ã§ã¯ãªããæãšå¹³åããããŠåžæããŸããææžã®éµãšãªãã®ã ãã¬ã³ãžãŒãã俺ã®åŒåãšãªããå
±ã«æãã®éãäŒãããã§ã¯ãªããã
**ã¬ã³ãžãŒ**ïŒã€ãšã¹ããæãã¯åãç®çã远ãè
å士ã ãã ã俺ã®éã¯éæŽåãšçå®ãåãšã¯ç°ãªããã ããã®éããèªãåããå
±ã«æ©ããã§ã¯ãªããã |
以äžã®æç« ããããã®æç« ãæžãããåœåãæšæž¬ããŠãã ããã | ä»å¹Žã¯ãäžç·ã«æ
è¡ãããŸããããç§ãã¡ã®ç®çå°ã¯ãäžçã§æãçŸããå Žæã®1ã€ã§ããã¹ãŠã§ãŒãã³ã®ã¹ããã¯ãã«ã ã§ãããã®è¡ã¯ã忬§ã®ãã«ãªã³ãã³ãã³ããŒã²ã³ãšäžŠã¶çŸãããæã¡ãç§ãã¡ã¯ãããã§ã®åéºã楜ãã¿ãããšæããŸãã | ã¹ãŠã§ãŒãã³ |
ã²ãŒã æ¢ãã®ãæäŒã | null | ãã¡ãããã²ãŒã æ¢ãã®ãæäŒãããããŠããã ããŸãïŒã©ããªã¿ã€ãã®ã²ãŒã ã«èå³ããããŸããïŒç¹å®ã®ãžã£ã³ã«ããã©ãããã©ãŒã ãã²ãŒã ãã¬ã€ã®ã¹ã¿ã€ã«ãªã©ããæ¢ãã§ããïŒãã®ä»ãã©ããªæ
å ±ã§ãçµæ§ã§ãã |
ããããã°ã©ãã³ã°AIã¢ã·ã¹ã¿ã³ããšäŒè©±ãããŠãããšãã®ããšã ãã¢ã·ã¹ã¿ã³ãã¯ãã³ã³ãã€ã«ã§ããªãã³ãŒãããååšããªããããªé¢æ°ãåç
§ããã³ãŒããç§ã«äžãç¶ãããã©ãããã°ãããã ïŒ | null | ããã°ã©ãã³ã°AIã¢ã·ã¹ã¿ã³ããäžè²«ããŠã³ã³ãã€ã«ãããªãã³ãŒããäžããããååšããªã颿°ãåç
§ãããããå Žåã¯ãAIã®ããã°ã©ãã³ã°ã«ãã°ãããããããªãã䜿ãããšããŠããç¹å®ã®ã©ã€ãã©ãªã«ç²ŸéããŠããªãå¯èœæ§ããããŸãããã®ãããªå Žåãããã€ãã®å¯ŸåŠæ³ãèããããŸãïŒ
- ã©ã€ãã©ãªã®ååãšã䜿ãããšããŠããç¹å®ã®é¢æ°ãæ£ããäŒãã£ãŠãããå確èªãããæ±ããŠãããã®ãåãã§ããããšã確èªããã
- AIã¢ã·ã¹ã¿ã³ãã«ãæäŸããŠããã³ãŒãã説æããŠãããããšã©ãŒãããã°ææããŠããããŸããããããããããšã§ãäœãåé¡ãåŒãèµ·ãããŠããã®ããããçè§£ãããããªããåé¡ã®ãã©ãã«ã·ã¥ãŒãã£ã³ã°ãã§ããããã«ãªãå¯èœæ§ããããŸãã
- AIã¢ã·ã¹ã¿ã³ãã®éçºè
ã«é£çµ¡ãåããããªããçµéšããŠããåé¡ãå ±åããããšãæ€èšããŠãã ããã圌ãã¯åé¡ã®ãã©ãã«ã·ã¥ãŒãã£ã³ã°ãæ¯æŽããAIã®ããã°ã©ãã³ã°ã®ãã°ãä¿®æ£ã§ããå¯èœæ§ããããŸãã
- äžèšã®ã©ã®ã¹ããããããŸããããªãå Žåã¯ã人éã®ããã°ã©ããŒã«å©ããæ±ãããããªã³ã©ã€ã³ãã©ãŒã©ã ãåé¡ã®ã©ã€ãã©ãªã®ããã¥ã¡ã³ããªã©ãä»ã®ãªãœãŒã¹ã«çžè«ããããšãæ€èšããå¿
èŠããããããããŸããã |
æ¬¡ã®æç« ãèªãã§ãã©ã®ãããªæãã®æç« ãªã®ããäžèšã§è¡šããŠãã ããã | æç« ïŒç§ãã¡ã¯ã2020å¹Žã®æ¥ã«ã¢ã¡ãªã«ããã€ã¹ã¿ã³ããŒã«ã«æ
è¡ã«è¡ãäºå®ã§ãã | æ
è¡ã®èšç»ã«ã€ããŠã®æç« |
ãŽã«ãã«ããããã¿ãŒãšãã©ã€ããŒã®éãã¯äœã§ããïŒ | null | ãŽã«ãã«ããããã¿ãŒãšãã©ã€ããŒã®éãã¯ã以äžã®éãã§ãã
1. çšé:
- ãã©ã€ããŒ: ãŽã«ãã®ã¹ã¿ãŒãæã«äœ¿çšããããŒã«ãæãé ãã«é£ã°ãããšãç®çãšããŸãããã£ãŒã¢ããããããŒã«ãæã¡ããã§ã¢ãŠã§ã€ãã©ããžãšæã¡åºããŸãã
- ãã¿ãŒ: ã°ãªãŒã³äžã§äœ¿çšããããŒã«ã穎ïŒã«ããïŒã«è¿ã¥ããããšãç®æããŸããäž»ã«å°é¢ããããã®è·é¢ã§ããŒã«ã転ããããã«äœ¿ããŸãã
2. ã¯ã©ãã®åœ¢ç¶:
- ãã©ã€ããŒ: ãã³ã°ãã©ã€ããŒããã©ã€ããŒãšãåŒã°ãããŽã«ãã¯ã©ãã®äžã§æãé·ãããããã倧ããã§ããã·ã£ãããé·ããããŒã«ãé«ãæã¡äžããããšãã§ããŸãã
- ãã¿ãŒ: ãã¿ãŒãããã¯å°ãããã·ã£ãããçãã§ããããã«ãããã³ã³ãããŒã«ãããããæ£ç¢ºãªã·ã§ãããæã€ããšãã§ããŸãã
3. 䜿çšããç¶æ³:
- ãã©ã€ããŒ: äž»ã«ãã£ãŒã°ã©ãŠã³ãããã§ã¢ãŠã§ã€ãã䜿çšãããã³ã°ããŒã«ã®ç¬¬äžæãã»ã«ã³ãã·ã§ãããªã©ã§äœ¿ããŸããè·é¢ã皌ãããã«èšèšãããŠããŸãã
- ãã¿ãŒ: ã°ãªãŒã³äžã§äœ¿çšããããŒã«ã穎ã«è¿ã¥ããããã«äœ¿ããŸãããã³ãŸã§ã®è·é¢ãçãã·ã§ãŒãã²ãŒã ããããã£ã³ã°ã°ãªãŒã³ã§äœ¿çšãããŸãã
以äžãããŽã«ãã«ããããã¿ãŒãšãã©ã€ããŒã®äž»ãªéããšãªããŸãã |
å€ã§ç¬ãã³ã³ãããŒã«ããæ¹æ³ã«ã€ããŠæã㊠| null | ç¬ãå€ã§ã³ã³ãããŒã«ããæ¹æ³ã¯ã以äžã®éãã§ãã
1. ãªãŒãã䜿çšãã: ç¬ãå€ã§æ©ããããšãã¯ããªãŒãã䜿çšããŸãããªãŒãã¯ç¬ã飌ãäž»ããé¢ããããå±éºãªç¶æ³ã«ééãããšãã«ã飌ãäž»ãç¬ãã³ã³ãããŒã«ããããã«å¿
èŠã§ãã
2. 飌ãäž»ã®ãã°ãæ©ããã: ç¬ã飌ãäž»ããé¢ããŠæ©ããªãããã«ã飌ãäž»ã®ãã°ãæ©ãããããã«ãã¬ãŒãã³ã°ããŸããããããã¯ãç¬ã飌ãäž»ã®æç€ºã«åŸãããã«ãªãããšã§ãå®å
šã«æ£æ©ããããšãã§ããŸãã
3. åºæ¬çãªåœä»€ãæãã: ãåŸ
ãŠããããããããããæ¥ãããªã©ã®åºæ¬çãªåœä»€ãç¬ã«æããŸããããããã«ãããå±éºãªç¶æ³ãä»ã®ç¬ã人ãšã®ãã©ãã«ãé¿ããããšãã§ããŸãã
4. 飌ãäž»ããªãŒãããã£ããæã€: ãªãŒããæã€ãšãã¯ããã£ãããšæã«ä¿æããç¬ãæ¥ã«èµ°ãåºãããšãã«ã察å¿ã§ããããã«ããŠãããŸãã
5. ç¬ã®æ°ãããã: ä»ã®ç¬ã人ãåç©ãªã©ã«å¯ŸããŠç¬ãè奮ãããšãã¯ãããã¡ããããã€ã䜿ã£ãŠç¬ã®æ°ãããããŸããããããã«ãããç¬ãã³ã³ãããŒã«ããããšãã§ããŸãã
ç¬ãå€ã§ã³ã³ãããŒã«ããæ¹æ³ã¯ãå®å
šã«æ£æ©ãããããã«éèŠã§ããé©åãªãã¬ãŒãã³ã°ãè¡ããç¬ã飌ãäž»ã®åœä»€ã«åŸãããã«ããŸãããã |
èŸæžã«åŸã£ãŠãäžããããåèªãæ£ããã¹ãã«ããããšãæããŠãã ããã | åèªïŒã³ã³ãã¥ãŒã¿ãŒ | COMPUTER |
pythonã§ããã°ã©ã ãæžãã®ãæäŒã£ãŠãã ãããã³ãŒãã¯èªãã®ã¯ç°¡åã§ãããpythonã䜿ã£ãŠã§ããããã€ãã®ç°ãªãããšã瀺ãã«ã¯ååé«åºŠã§ãªããã°ãªããŸããã | null | ãã¡ãããFizzBuzzåé¡ãå®è£
ããPythonã®ç°¡åãªããã°ã©ã ããããŸãïŒ
```
for i in range(1, 101)ïŒ
if i % 3 == 0 and i % 5 == 0ïŒ
print("FizzBuzz")
elif i % 3 == 0ïŒ
print("Fizz")
elif i % 5 == 0ïŒ
print("Buzz")
elseïŒ
print(i)
```
ãã®ããã°ã©ã 㯠modulo æŒç®å % ã䜿ã£ãŠãããæ°å€ã 3 ã 5 ã§å²ãåãããã©ããã調ã¹ãããã«åºã¥ããŠé©åãªåºåã衚瀺ããŸãããŸããPythonã®if-elif-elseæãrange颿°ãprint颿°ã®äœ¿ãæ¹ã瀺ããŠããŸãã |
äžãããããªã¹ããããæååã®ã¿ãæœåºããŠæ°ãããªã¹ããçæããŠãã ããã | ```python
lst = [1, "apple", 3.14, "banana", None, "cherry"]
``` | ```python
result = [item for item in lst if isinstance(item, str)]
print(result)
```
åºå:
```
['apple', 'banana', 'cherry']
``` |
äžãããããªã¹ãå
ã®ããŒã¯å€ïŒé£ãåãèŠçŽ ã®äžã§æå€§ã®èŠçŽ ïŒãæ±ãã Python ã®é¢æ°ãæžããªããã | ```python
numbers = [5, 3, 7, 2, 9, 1]
``` | ```python
def find_peaks(lst):
peaks = [i for i in range(1, len(lst) - 1) if lst[i-1] < lst[i] > lst[i+1]]
return peaks
peaks = find_peaks(numbers)
print(peaks)
# Expected output:
# [2, 4]
``` |
ä»£æ¿æåž«ã®50ïŒ
ã¯ã1æéã®æè²ã®åŸã«åºãããŸããæ®ãã®30ïŒ
ã¯æŒé£åã«èŸããŸããã60人ã®ä»£æ¿æåž«ãåå7æã«çŸããå ŽåãæŒé£åŸã«ããã€ã¯æ®ãããŸããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
number_of_teachers = 60
at_7_am = number_of_teachers
after_first_hour = number_of_teachers * 0.5
after_lunch = after_first_hour * 0.7
after_lunch
</llm-code><llm-code-output>
21.0
</llm-code-output>
ãããã£ãŠãæŒé£åŸã\\ Boxed {21}ä»£æ¿æåž«ãæ®ã£ãŠããŸãã |
以äžã®ããã¹ããããäž»ãªãããã¯ãšãã®ãããã¯ãæ¯æããèŠçŽãæäŸããŠãã ããã | æ±æ¥æ¬å€§éçœã§å€ãã®è¢«çœå°ãããã埩èãé
ããŠããããšãå€ãã®å ±éããæããã«ãªã£ãŠããŸããç¹ã«çŠå³¶ã§ã¯ã被害ã倧ããã£ãããã埩èã«æéãããã£ãŠããŸãã | äž»ãªãããã¯: æ±æ¥æ¬å€§éçœãšåŸ©èã®é
ã
èŠçŽ: æ±æ¥æ¬å€§éçœã«ãããå€ãã®è¢«çœå°ããããç¹ã«çŠå³¶ã§ã¯åŸ©èãé
ããŠããã |
以äžã®èª¬æã«åã£ããã®ããã¯ã©ã·ã«ã«ããžã£ãºãããã¯ãããããR&Bãããããããããšã¬ã¯ããããã¯é³æ¥œã®äžããéžãã§ãã ããã
説æïŒãã³ãã®éããèžãããšãã§ãã鳿¥œã§ãã | ãã³ãã®éããèžãããšãã§ãã鳿¥œã§ãã | ãããããã |
次ã®ãããªæŽå²çäºè±¡ãçºçãããåå ã1ã€ã ãæããŠãã ããã | ç¬¬äºæ¬¡äžçå€§æŠ | ç¬¬äºæ¬¡äžç倧æŠã¯ãäž»ã«ãã€ããäžå¿ãšãããšãŒãããã®è«žåœã«ãã䟵ç¥ãšãããã«å¯Ÿæããé£ååœåŽã®æŠãã«ãã£ãŠåŒãèµ·ããããŸããããã®æŠäºã¯ãããã©ãŒçããããã¹ã»ãã€ãã®æ¥éãªäŒžåŒµãšãããã«å¯Ÿããä»ã®ãšãŒããã諞åœã®åå¿ã«ãã£ãŠåŒãèµ·ããããŸããã
ããã«æãäžãããšãç¬¬äºæ¬¡äžç倧æŠã¯ãç¬¬äžæ¬¡äžç倧æŠåŸã®äžæ³ãšäžå¹³çæ¡çŽã«ãããã€ãã®åŸ©èã®å€±æãåå ã§ãããã©ãŒçããããã¹å
ããã€ãã®æ¿æš©ãæ¡ããšããããå§ãŸããŸãããããŠããã€ãã®é£åœã§ãããªãŒã¹ããªã¢ãšãã§ã³ã¹ãã adjusted text ã䜵åããæ¬¡ç¬¬ã«ãšãŒããã諞åœã䟵ç¥ããŠããããšã«ãã£ãŠãç¬¬äºæ¬¡äžç倧æŠã®åçºã«ã€ãªãããŸããããŸããæ¥æ¬ã®äžåœäŸµç¥ããç¬¬äºæ¬¡äžç倧æŠã®ç«çš®ã®äžã€ãšãªããŸããã
以äžã®ãããªåå ãéãªãåããæçµçã«ç¬¬äºæ¬¡äžç倧æŠãåçºããããšãšãªããŸããã |
ããŒã©ã¯ãæ¯åã®åŠæ ¡ã«1ã€ã®æ¹æ³ã§20åéé転ãããã®åŸ70åéã®èŠªãšæåž«ã®å€ã«åºåžããåãæéãå®¶ã«é転ããå¿
èŠããããŸããããŒã©ã¯ãã®çšäºã«åèšã§äœåè²»ãããŸããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
time_driving_there = 20
time_at_school = 70
time_driving_back = time_driving_there
time_spent_overall = time_driving_there + time_at_school + time_driving_back
time_spent_overall
</llm-code><llm-code-output>
110
</llm-code-output>
ãããã£ãŠãMarlaã¯ããã®çšäºã«åèšã§\\ Boxed {110}åãè²»ãããŸãã |
ãžã§ãŒã ã¹ã»ã¯ãªã¢ã®ãã¢ãããã¯ã»ãããããã®èŠçŽããé¡ãããŸãã | null | ãžã§ãŒã ã¹ã»ã¯ãªã¢èãã¢ãããã¯ã»ãããããã¯ãè¯ãç¿æ
£ã身ã«ã€ããããšã§äººçãåäžãããããšãã§ããçŽ æŽãããæ¬ã ããã®æ¬ã®ç« ããšã®èŠçŽã玹ä»ãããïŒ
第1ç« ïŒååçç¿æ
£ã®é©ãã¹ãå
ãã®ç« ã§ã¯ãååçç¿æ
£ã®æŠå¿µã玹ä»ãããªãå°ããªå€åã倧ããªçµæã«ã€ãªããã®ãã説æããŠããã
第2ç« ïŒç¿æ
£ãããã«ããªãã®ã¢ã€ãã³ãã£ãã£ã圢æãããïŒãããŠãã®éããŸãç¶ãïŒ
ã¯ãªã¢ã¯ãç¿æ
£ãããã«ã¢ã€ãã³ãã£ãã£ãšçµã³ã€ããŠãããããããŠç¿æ
£ãå€ããããšã§ããã«èªå·±æèãå€ããããè«ããŠããã
第3ç« ïŒ4ã€ã®ã·ã³ãã«ãªã¹ãããã§ããè¯ãç¿æ
£ãç¯ãæ¹æ³
ãã®ç« ã§ã¯ãããè¯ãç¿æ
£ã身ã«ã€ããããã®Clearã®4ã€ã®ã¹ãããããæçœã«ãããããé
åçã«ãããããç°¡åã«ãããããæºè¶³ããããã«ã€ããŠæŠèª¬ããã
第4ç« ïŒæ£ããèŠããªãã£ãç·
ã¯ãªã¢ã¯ãæ®ºäººã®æ¿¡ãè¡£ãçããããç·ã®è©±ãçšããŠãæ¥åžžç掻ã®å°ããªæ¹åããæéã®çµéãšãšãã«ããã«å€§ããªå€åã«ã€ãªãããã説æããŠããã
第5ç« ïŒå®éã«å®çããæ°ããç¿æ
£ãå§ããæè¯ã®æ¹æ³
ããã§ã¯ãå®éã«å®çããæ°ããç¿æ
£ãå§ããæ¹æ³ã«ã€ããŠãã¯ãªã¢ãå®è·µçãªã¢ããã€ã¹ãããŠããã圌ã¯ãå°ããªå€åããå§ãã匷ããããäžè²«æ§ã«éç¹ã眮ãããšãææ¡ããŠããã
第6ç« ïŒã¢ãããŒã·ã§ã³ã¯é倧è©äŸ¡ãããã
ãã®ç« ã§ã¯ãæãç¿æ
£ããµããŒãããç°å¢ãäœãããšã®éèŠæ§ã匷調ããŠãããã¯ãªã¢ã¯ãã©ããªç¶æ³ã§ããæãè¡åãæãç°¡åãªéžæè¢ã«ããããšãææ¡ããŠããã
第7ç« èªå·±ã³ã³ãããŒã«ã®ç§èš£
èªå¶å¿ãšã¯æå¿ã®åã ãã§ãªããããããæå¿ã®åãããŸãå¿
èŠãšããªãããã«ç°å¢ããã¶ã€ã³ããããšã§ãããããšããèããã¯ãªã¢ã¯æ¢æ±ããŠããã
第8ç« è¯ãç¿æ
£ãå¿
ç¶ã«ãæªãç¿æ
£ãäžå¯èœã«ããæ¹æ³
ãã®ç« ã§ã¯ãç°å¢ã«ãããåå³ãšå ±é
¬ãæäœããããšã§ãè¯ãç¿æ
£ãå¿
ç¶çãªãã®ã«ããæªãç¿æ
£ãäžå¯èœãªãã®ã«ããããã®æŠç¥ãã¯ãªã¢ãææ¡ããã
第9ç« ç¿æ
£ã圢æããå®¶æãšå人ã®åœ¹å²
ã¯ãªã¢ã¯ã瀟äŒèŠç¯ãç§ãã¡ã®è¡åã«ã©ã®ãããªåœ±é¿ãäžãããã«ã€ããŠè«ããå®¶æãå人ããã®ç€ŸäŒçå§åããããè¯ãç¿æ
£ã身ã«ã€ããããã®åæ©ã¥ããšããŠå©çšããæ¹æ³ãææ¡ããŠããã
第10ç« ïŒæªãç¿æ
£ã®åå ãèŠã€ããŠçŽãæ¹æ³
ãã®æçµç« ã§ã¯ãæªãç¿æ
£ã®ãã¿ãŒã³ã®èåŸã«ããæ ¹æ¬çãªåå ãç¹å®ãã广çã«å¯ŸåŠã§ããããã«ããããã®ã¬ã€ãã³ã¹ãæäŸããŸãã
ããã§ã¯ããã¢ãããã¯ã»ãããããããåŠãã ããšãããšã«ãå®è¡å¯èœãª5ã€ã®ãšã¯ãµãµã€ãºã玹ä»ãããïŒ
1) å°ããªããšããå§ãã - æ¯æ¥2åãããããªããããªå°ããªç¿æ
£ïŒäŸãã°ãèµ·ããããŸãæ°Žã飲ããªã©ïŒã1ã€éžã¶ãå°ãªããšã2é±éãæ¯æ¥ã³ã³ã¹ã¿ã³ãã«è¡ãã
2) ç¿æ
£ã®ç©ã¿éãã䜿ã-æ¢åã®ç¿æ
£ã®åŸã«ãæ°ããç¿æ
£ã1ã€å ããïŒæ¯ç£šãã®åŸã«ã¹ã¯ã¯ããã10åãããªã©ïŒã
3) å®è¡æå³ãäœã-ãã€ãã©ãã§ãã©ã®ããã«äœããããããåãã£ãŠèšç»ãç«ãŠãïŒäŸãã°ããå€é£ãé£ã¹çµãã£ããããã«5åéçæ³ãããïŒã
4) æªãè¡åãé£ãããã - æãŸãªãè¡åã«é¢é£ããèªæãé害ãåãé€ãïŒéç¥ãç¡å¹ã«ãããç¹å®ã®ãŠã§ããµã€ãããããã¯ãããªã©ïŒã
5) ã¢ã«ãŠã³ã¿ããªãã£ã»ã°ã«ãŒãã«åå ããããŸãã¯äœã - èªåãšåããããªç®æšãç¿æ
£ãæã€äººãèŠã€ããããå
šå¡ã宿çã«ç®æšã«åããé²æç¶æ³ãå
±æããã°ã«ãŒããäœãã
å
šäœãšããŠããAtomic Habitsãã¯ãè¯ãç¿æ
£ã身ã«ã€ããããã®å®è·µçãªæŠç¥ãæç€ºããªãããç§ãã¡ããªãããããã®ããçè§£ããããã®åªããæŽå¯ãæäŸããŠãããäžèšã®ãããªè¡åæåã®ãšã¯ãµãµã€ãºãéããŠããããã®æŠç¥ãæ¥åžžç掻ã«å°å
¥ããããšã§ã誰ã§ãæãçµæãéæããããã®æåã®å¯èœæ§ãæã«å
¥ããããšãã§ããïŒ |
æ¬¡ã®æç« ã«ã€ããŠãæèãååŸã®æç« ãããçåã®çããæšæž¬ããŠãã ããã | ãç§ãã¡ã¯ãææ¥ããå€äŒã¿ãªã®ã§ã1é±éã®äžåŠæ ¡ã®ç ä¿®ãåããããšããŠããŸããã | ãã®æèãã倿ãããšããçåããšã¯ãäžåŠæ ¡ã®ç ä¿®ã¯ã©ã®ãããªãã®ãããšããæå³ã§ãã
ãã®ããããäžåŠæ ¡ã®ç ä¿®ã§ã¯ãã©ã®ãããªããšãåŠã¶ã®ããããç ä¿®ã®å
容ãç®çã¯äœãããªã©ãæšæž¬ãããŸãã |
èªå®¶è£œããã°ããŒãã®äœãæ¹ãæããŠãã ããã | null | èªå®¶è£œããã°ããŒããäœãéã«ã¯ãç¬ã®æ é€çãªããŒãºãšå®å
šæ§ãèæ
®ããããšãéèŠã§ãã以äžã¯åºæ¬çãªèªå®¶è£œããã°ããŒãã®äœãæ¹ã§ãã
**1. æ é€ãã©ã³ã¹ã®ç¢ºä¿**
ç¬ã«å¿
èŠãªæ é€çŽ ãå«ãã¬ã·ãã䜿çšããŠãã ãããã¿ã³ãã¯è³ªïŒèãéãåµãªã©ïŒãèèªãçæ°Žåç©ïŒç©ç©ãéèãæç©ãªã©ïŒããã¿ãã³ãããã©ã«ãé©åãªãã©ã³ã¹ã§å«ãŸããŠããããšã確èªããŠãã ããã
**2. 飿ã®éžå®**
ç¬ã«ãšã£ãŠå®å
šãªé£æã䜿çšããŠãã ãããçã®èãéãéèãæç©ãå
šç²ç©ç©ãäºç¡é
žãããªãŠã ãªã©ã®æ·»å ç©ãé¿ããããšãæšå¥šãããŠããŸãã
**3. èª¿çæ¹æ³**
æ¶åããããããããã«ã飿ãé©åã«èª¿çããŠãã ãããèãéã¯ååã«å ç±ããéèãæç©ã¯æãããããããã«èžããè¹ã§ãããšãæšå¥šãããŠããŸãã
**4. é©åãªãµã€ãº**
ç¬ã®å€§ãããšå¹Žéœ¢ã«åãããŠããŒãã®ãµã€ãºã調æŽããŠãã ãããå°åç¬ã幎é
ç¬ã«ã¯å°ããã®ãã¥ãŒãç¶ã倧åç¬ãè¥ãç¬ã«ã¯ãã倧ããã®ãã¥ãŒãç¶ã®ããŒããé©ããŠããããšããããŸãã
**5. ä¿åæ¹æ³**
èªå®¶è£œããã°ããŒãã¯å·èµãŸãã¯å·åä¿åããããšãã§ããŸããå¯é容åšã䜿çšããæé·3ã¶æéä¿åããããšãã§ããŸãã
**6. 詊äœãšç£èŠ**
åããŠã®ã¬ã·ãã詊äœããããç¬ã®åå¿ãèŠãŠãã ãããæäŸ¿ãå°¿ã®ç¶æ
ãäœéã被æ¯ã®è³ªæã掻åéãªã©ãæ³šææ·±ã芳å¯ããé©åãªæ é€ç¶æ
ãç¶æããããšãã§ããŠãããã確èªããŠãã ããã
泚ïŒç¹å¥ãªæ é€ããŒãºãçŸæ£ãæã€ç¬ã®å Žåãç£å»åž«ãå°éå®¶ã«çžè«ããåã
ã®ç¬ã«é©ããé£äºãæäŸããŠãã ããã |
$ x + y = 16 $ããã³$ x -y = 2 $ã®å Žåã$ x^2 -y^2 $ã®å€ã¯ãããã§ããïŒ | null | æ¬¡ã®æ¹æ³ã§ãåŒ$ x^2-y^2 $ãç°¡çŽ åã§ããŸãã
\\ begin {align*}
x^2-y^2ïŒ=ïŒx+yïŒïŒx-yïŒ\\\\
ïŒ= 16 \\ cdot 2 \\\\
ïŒ= 32
\\ end {align*}
ãããã£ãŠã$ x^2 -y^2 $ã®å€ã¯\\ boxed {32}ã§ãã |
以äžã®æç« ã«ãããŠãåè©ã®æå¶ãæªæ¥ã«å€æŽããŠãã ããã | åœŒå¥³ã¯æšæ¥ãç§ãã¡ã®å®¶ã«æ¥ãŸããã | åœŒå¥³ã¯ææ¥ãç§ãã¡ã®å®¶ã«æ¥ãŸãã |
äžããããXMLãã¡ã€ã«ãèªã¿èŸŒãã§ãã¿ã°ã®äžã«ããããã¹ããæœåºããPythonã³ãŒããæžããŠãã ããã | null | ```python
import xml.etree.ElementTree as ET
tree = ET.parse('file.xml')
root = tree.getroot()
for child in root:
print(child.text)
``` |
åäžé·è
ãšçµå©ããã«ã¯ãã©ã®ãããªæ¹æ³ããããŸããïŒ | null | ãåäžé·è
ãšçµå©ããã«ã¯ãã©ã®ãããªæ¹æ³ããããŸããïŒããšãã質åã«å¯ŸããŠã以äžã®ãããªåçãçšæããŸããã
åçã¯ä»¥äžã®éãã§ãã
åäžé·è
ãšçµå©ããããã®æ¹æ³ã«ã¯ããã€ãã®ã¢ãããŒãããããŸãããã ãããããªãæ¹æ³ã確å®ã«æåãããšã¯ä¿èšŒãããŸããã
- çµæžçã«èªç«ããäžã§å©æŽ»åžå Žã«åå
¥ããããš
- å°éå®¶ïŒãŠã§ã«ã¹ã»ãããŒãžã£ãŒããã£ãã³ã·ã£ã«ã»ã¢ããã€ã¶ãŒïŒãé Œãããš
- å¯è£å±€åãã®äº€æµäŒãã€ãã³ãã«åå ããããš
- ãªã³ã©ã€ã³ã»ããŒãã£ã³ã°ã»ãµãŒãã¹ã婿޻ã¢ããªã®æŽ»çš |
ã€ã³ãã¬ã®äž»ãªåå ã¯äœã§ããïŒ | null | ã€ã³ãã¬ã®äž»ãªåå ã¯ãäž»ã«ä»¥äžã®4ã€ã®èŠå ã«ãããã®ã§ãïŒ
1. **ãããŒãµãã©ã€ã®å¢å **: ããã¯ãäžå€®éè¡ã«ããéå°ãªæµéé貚ã®äŸçµŠããããããŸããããã«ãããç·éèŠãéå°ãšãªããäŸçµŠäžè¶³ãçãããããäŸ¡æ Œã®äžæã«ã€ãªãããŸãã
2. **åææäŸ¡æ Œã®é«éš°ã«ãã補é å䟡ã®äžæ**: åææã®åœéäŸ¡æ Œãäžæããå Žåãè£œé æ¥ã§ã¯è£œé å䟡ãäžæããããã補åäŸ¡æ Œã®äžæã«ã€ãªãããŸãã
3. **財ã»ãµãŒãã¹ã«å¯ŸããéèŠã®å¢å **: äžè¬æ¶è²»è
ã®æ¶è²»ææ¬²ãåäžããæ¶è²»ãå¢å ããå ŽåãäŸçµŠã远ãä»ããã«äŸ¡æ ŒãäžæããããšããããŸãã
4. **ãµãã©ã€ãã§ãŒã³ã®åé¡ãããã¯ããŠã³ãªã©ã«ããç¹å®ååã®æ¬ å**: ç©æµã®åæ»ããæ°åã³ãããŠã€ã«ã¹ãªã©ã®ãã³ãããã¯ã«ããéœåžã®å°éã«ãããç¹å®ã®ååãäžè¶³ãããããäŸ¡æ Œã®äžæãæãããšããããŸãã
以äžã®ããã«ãã€ã³ãã¬ã®äž»ãªåå ã¯è€æ°ããããããã¯çµæžç¶æ³ãç€ŸäŒæ
å¢ã«ãã£ãŠå€åããããšããããŸãã |
çå°ãã®ã°ãæ¹æ³ã«ã€ããŠæã㊠| null | çå°ãã®ã°ãæ¹æ³ã¯ãäœæ¥ã«äœ¿çšããçå°ã®çš®é¡ãããã³æçµçãªä»äžããã®èŠä»¶ã«ãããŸãã以äžã«äžè¬çãªæé ã瀺ããŸãïŒ
1. çå°ã®æºåïŒçå°ãæŽæ¿¯æ©ã§æŽããã¢ã€ãã³ããããå¿
èŠã«å¿ããŠæ¥çè¯ã貌ããŸããæ¥çè¯ã¯ãçå°ã®è£åŒ·ã圢ã®ç¶æã«åœ¹ç«ã¡ãŸãã
2. åçŽã®äœæïŒåçŽãäœæããçž«ã代ãå«ããŠçå°ã«åãããçŽæ¥çå°ã«æã蟌ã¿ãŸããåçŽã¯ãã·ãŒãã³ã°ãæ°èçŽãªã©èãçŽã䜿çšãããšäŸ¿å©ã§ãã
3. çå°ã®è£æïŒåçŽã«åŸã£ãŠçå°ãè£æããŸããè£æäœçœ®ã¯ãçå°ã®æãç¹ãæ¹åãèæ
®ããæé©ãªäœçœ®ãéžã³ãŸãã
4. ä»äžãçž«ãïŒè£æããçå°ãçž«ãåãããŸãããã·ã³ã䜿çšããå Žåã¯ãçŽç·çž«ãããžã°ã¶ã°çž«ããªã©é©åãªçž«ãæ¹ã§ä»äžããŸããæçž«ãã®å Žåã¯ããŸãçž«ã代ããŸã€ãåãããéãšç³žã§çž«ãåãããŸãã
5. ã¢ã€ãã³ããïŒçž«ãåãããçå°ã«ã¢ã€ãã³ããããçž«ã代ãæãç®ããããã«ä»äžããŸãã
ãããã®æé ã¯ã䜿çšããçå°ãçž«è£œæ¹æ³ã«ãã£ãŠç°ãªãå ŽåããããŸããäœæ¥ã«ããã£ãŠã¯ãå
·äœçãªçå°ã補äœç©ã«é©ããææ³ãéžæãã詳现ãªã¬ã€ãããã¥ãŒããªã¢ã«ãåèã«ããããšããå§ãããŸãã |
èå
ç¯ã®ãã¹ãæ¹æ³ | null | èå
ç¯ã®ãã¹ãæ¹æ³ã¯ä»¥äžã®éãã§ãã
1. ç®èŠã«ãã確èª:
èå
ç¯ã®æãããè²ã確èªããããã«ã宀å
ã®æããããã¹ãŠæ¶ããèå
ç¯ã ããç¹ç¯ããŠããç¶æ
ã§ãã§ãã¯ããŸããæãããåäžã§ãªãããããã¯è²ãç°ãªãå Žåã¯ã亀æãå¿
èŠãããããŸããã
2. ç¹ç¯ã»æ¶ç¯ã®ç¢ºèª:
èå
ç¯ã¯ããã«ç¹ç¯ãããŸãæ¶ããã¹ãã§ããç¹ç¯ã«æéããããããããã¯äžå®å®ã«æ¶ãããç¹ãããããå Žåã¯ãæ
éã®å¯èœæ§ããããŸãã
3. ç¹ç¯æéã®ç¢ºèª:
èå
ç¯ã¯äžå®ã®æéç¹ç¯ããããšãæåŸ
ãããŸãããã®æåŸ
寿åœãããçãæéã§æ¶ãããããªãã亀æããææã§ãã
4. é³ã®ç¢ºèª:
èå
ç¯ã¯éåžžãç¹ç¯æãæ¶ç¯æã«é³ãçºããŸãããç°é³ãèãããå Žåã¯æ
éã®å¯èœæ§ããããŸãã
5. å
ã®æ³¢é·ã®ç¢ºèª:
èå
ç¯ã®å
ã¯äžå®ã®æ³¢é·ã§ããã¹ãã§ããå
ã®æ³¢é·ãäžå®å®ã§ããå Žåã¯ã亀æãå¿
èŠãããããŸããã
以äžãèå
ç¯ã®åºæ¬çãªãã¹ãæ¹æ³ã§ãããªããå®å
šã®ããã黿ºãæäœããéã¯å¿
ããã¬ãŒã«ãŒãåã£ãŠããè¡ã£ãŠãã ããããŸãã黿°è£œåã«ã€ããŠã®äœæ¥ã¯å°éç¥èãæããæ¹ãäŒæ¥ã«äŸé Œããããšããå§ãããŸãã |
ã©ãããã°å€¢ãèŠããŠããããã®ã§ããïŒ | null | 質åããã¯ãããªãããã¹ãŠã®å€¢ãèŠããŠããªãã®ãããããšãäžéšãå¿ããŠããã ããªã®ããããããããŸããã
ãã倢ãæãåºãã®ãé£ããã®ã§ããã°ãããšãäœãèŠãŠããªããŠãã倢ãæãåºãã®ãæ¹åããããã«è©Šããããšãããã€ããããŸãïŒ
- 倢æ¥èšãã€ããïŒå€¢æ¥èšãã€ããïŒç®ãèŠãããããã«ãèŠã倢ãæãåºããææ
ãã€ã¡ãŒãžã®æçã§ãã£ãŠããã§ããã ã詳ããæžãçãããç·Žç¿ããã°ããã»ã©ã倢ãæãåºãã®ãäžæã«ãªãããã®æ¹æ³ããããçš®ã®ç¹å¥ãªèšæ¶é åãå埩ããããã®èšæ¶é åèªäœã倢ãèšæ¶ãã圹å²ãæ
ã£ãŠãããšèª¬æãã人ãããã宿çã«æ¥èšåž³ã®ã¡ã¢ãåç
§ããããšã§ããã®èšæ¶é åãåºæ¿ããã倢ãããé®®æã«ãªããã¡ãªã¿ã«ããã®ãã¯ããã¯ã¯ææ°å€¢ãèŠãããã«ã䜿ãããã
- èªç¶ã«ç®èŠããïŒç®èŠãŸãæèšã¯ç¡ç ãµã€ã¯ã«ã劚ãã倢ãæãåºãã®ãé£ããããã®ã§ã䜿ããã«èªç¶ã«èµ·ããããã«ããã
- ææ
ã«éäžããïŒããšãäœãèŠããªããŠãã倢ã®äžã§çµéšããææ
ã«éäžããŠã¿ãŸããããæãåºããææ
ãèº«äœæèŠãæžãçããŠããã
- äžæ¥ãæ¯ãè¿ãïŒç ãã«ã€ãåã«ããã®æ¥äžæ¥ãæ¯ãè¿ããçµéšããäž»ãªåºæ¥äºãææ
ã«ã€ããŠèããŠã¿ãŸãããã倢ã¯ãæ¥äžã«èµ·ãã£ãåºæ¥äºã«åœ±é¿ãããããšããããŸãã
- ååãªç¡ç ããšãïŒå€¢ãæãåºãã«ã¯ååãªç¡ç ã倧åã§ããç¡ç äžè¶³ã«ãªããšã倢ãæãåºãã®ãé£ãããªããããããŸããã
- ã¢ã«ã³ãŒã«ãè¬ç©ãé¿ããïŒã¢ã«ã³ãŒã«ãç¹å®ã®è¬ç©ã¯å€¢ã®æ³èµ·ã劚ããããšãããã®ã§ãå¯ãåã¯é¿ããã»ããããã
ãããã®ãã¯ããã¯ãå®è·µããããšã§ãããšãäœãèŠãªãã£ããšããŠãã倢ãæãåºãèœåãåäžãããããšãã§ãããããããŸããã |
äžãããããµã³ãã«ã³ãŒãããè¡åã®æãç®ãè¡ãPythonã®é¢æ°ã«ä¿®æ£ããŠãã ããã | ```python
def multiply_matrices(mat1, mat2):
result = [[0]*len(mat2[0])]*len(mat1)
for i in range(len(mat1)):
for j in range(len(mat2[0])):
for k in range(len(mat2)):
result[i][j] += mat1[i][k]*mat2[k][j]
return result
# ãã¹ãçšã«ãµã³ãã«è¡åãçšæ
matrix1 = [[1, 2], [3, 4]]
matrix2 = [[5, 6], [7, 8]]
# è¡åã®æãç®ãè¡ã
result = multiply_matrices(matrix1, matrix2)
# çµæã衚瀺
for row in result:
print(row)
``` | ```python
def multiply_matrices(mat1, mat2):
result = [[0 for _ in range(len(mat2[0]))] for _ in range(len(mat1))]
for i in range(len(mat1)):
for j in range(len(mat2[0])):
for k in range(len(mat2)):
result[i][j] += mat1[i][k]*mat2[k][j]
return result
# ãã¹ãçšã«ãµã³ãã«è¡åãçšæ
matrix1 = [[1, 2], [3, 4]]
matrix2 = [[5, 6], [7, 8]]
# è¡åã®æãç®ãè¡ã
result = multiply_matrices(matrix1, matrix2)
# çµæã衚瀺
for row in result:
print(row)
``` |
匷ååŠç¿ãå®äžçã®åé¡ã«é©çšããéã®èª²é¡ãšéçã¯äœãããŸãããããã¯ã©ã®ããã«å
æã§ããã®ãïŒ | null | 1.å©çšå¯èœãªããŒã¿ãéãããŠããïŒåŒ·ååŠç¿ã«ã¯åŠç¿ããããã®å€§éã®ããŒã¿ãå¿
èŠã§ãããããã¯çŸå®äžçã§ã¯å
¥æãå°é£ãªå Žåãããã解決çãšããŠã¯ãã·ãã¥ã¬ãŒã·ã§ã³ç°å¢ã®å©çšã転移åŠç¿ãæ¢åã®ããŒã¿ã»ããã®æŽ»çšãªã©ãããã
2.é«ãèšç®ã³ã¹ãïŒåŒ·ååŠç¿ã¢ã«ãŽãªãºã ã®åŠç¿ã«ã¯ãæèã«ãã£ãŠã¯å©çšã§ããªãå¯èœæ§ã®ãããå€ãã®èšç®èœåãå¿
èŠã«ãªãã解決çãšããŠã¯ãã¯ã©ãŠãããŒã¹ã®ãµãŒãã¹ããApache SparkãHadoopã®ãããªåæ£ã³ã³ãã¥ãŒãã£ã³ã°ã·ã¹ãã ã®å©çšãæããããã
3.äºæž¬äžå¯èœãªç°å¢ïŒåŒ·ååŠç¿ãé©çšãããç°å¢ã¯æéã®çµéãšãšãã«å€åããå¯èœæ§ããããç°å¢ã®å€åã«å¯Ÿå¿ããããã«ã¢ã«ãŽãªãºã ãè¿
éã«é©å¿ãããããšãé£ãããªãã解決çãšããŠã¯ãç¶æ³ã®å€åã«å¯Ÿå¿ãããããã¥ãŒã©ã«ãããã¯ãŒã¯ã䜿çšããæ·±å±€åŒ·ååŠç¿æè¡ããåŸæ¥ã®ãã®ãããé©å¿æ§ã®é«ãå ±é
¬é¢æ°ã䜿çšããããšãæããããã
4.å ±é
¬ã®ã¹ããŒã¹æ§ïŒå€ãã®å Žåãå ±é
¬ã¯ãšãŒãžã§ã³ãã®çµéšãéããŠãŸã°ãã«ååžããŠãããã€ãŸããèšç·Žã»ãã·ã§ã³äžã«è¡ãããè¡åãæ±ºå®ã«å¯Ÿãããã£ãŒãããã¯ããªãããããšãŒãžã§ã³ããç°å¢ãšã®çžäºäœçšããæå³ã®ããããšãåŠã¶ã®ã«é·ãæéããããã解決çãšããŠã¯ããã倧ããªç®æšéæã«åããéçšã§éæããããµãç®æšã«å¯ŸããŠäžéå ±é
¬ãæäŸããããšã§å ±é
¬ã圢æããããšã奜å¥å¿äž»å°ã®æ¢çŽ¢ãAlphaGo Zeroã®ãããªèªå·±åçææ³ã®ãããªå
çºçåæ©ã¥ãæè¡ã掻çšããããšãæåž«ããåŠç¿ãšæåž«ãªãåŠç¿ã®ã¢ãããŒããçµã¿åãããŠGAILïŒGenerative Adversarial Imitation LearningïŒã®ãããªãã€ããªããã¢ãã«ã«ããããšãªã©ãæããããã |
4. 以äžã®æç« ã«å¯ŸããŠã察話圢åŒã§é©åãªåçã2ã€èããŠãã ããã | ãæè¿ã¿ããªäººæ°ã®ã¢ããªã£ãŠäœã§ããïŒã | A: æè¿ããèŠãããã¢ããªã§ããïŒ
B: ããã§ãããæè¿ããããŠã³ããŒããããŠããã¢ããªãããã€ã玹ä»ããŸãã
A: æè¿ããŠã³ããŒããããŠããã¢ããªãšã¯ïŒ
B: æè¿ããœãŒã·ã£ã«ã¡ãã£ã¢ãã²ãŒã é¢é£ã®ã¢ããªã人æ°ã§ãç¹ã«InstagramãTikTokãFortniteãCandyCrushãªã©ãããããŠã³ããŒããããŠããŸãã |
以äžã®æç« ãã誰ããã©ã®ããã«è¡åãããããŸãšããŠãã ããã | æç« : 圌女ã¯ãéè·¯ãæšªæããåã«ãå·Šå³ãããèŠå®ããŸããããããŠãç·è²ã®ä¿¡å·ãåºããããã®ãŸãŸéè·¯ãæšªæããŸããã | 圌女ãè¡ã£ãè¡å:
1. éè·¯ãæšªæããåã«ãå·Šå³ãããèŠå®ã£ãã
2. ç·è²ã®ä¿¡å·ãåºãã®ã確èªããŠããããã®ãŸãŸéè·¯ãæšªæããã |
éã倧çç³ãšé»è²ã®å€§çç³ã®ããããã°ããããŸããçŸæç¹ã§ã¯ãéã倧çç³ãšé»è²ã®å€§çç³ã®æ¯çã¯8ïŒ5ã§ãã12åã®éã倧çç³ãåãå€ããŠ21åã®é»è²ã®å€§çç³ã远å ãããšãæ¯çã¯1ïŒ3ã«ãªããŸããç§ãããã€ããåãé€ãåã«ãããã°ã«ããã€ã®éã倧çç³ãå
¥ã£ãŠããŸãããïŒ | null | Sympyã䜿çšããŠãéã倧çç³ã®åææ°ã解決ããŸãããã<llm-code>
from sympy import symbols, Eq, solve
# let's define the initial number of blue and yellow marbles
blue, yellow = symbols('blue yellow')
# first we have blue/yellow = 8/5, where blue=8x and yellow=5x
eq1 = Eq(blue / yellow, 8/5)
# we then have (blue - 12) / (yellow + 21) = 1/3
eq2 = Eq((blue - 12) / (yellow + 21), 1/3)
# this gives the following system of equations
soln = solve((eq1, eq2), (blue, yellow))
print("Initial blue marbles:", soln[blue])
</llm-code><llm-code-output>
åæã®éã倧çç³ïŒ24.0000000000000
</llm-code-output>
ãã®ãããçãã¯$ \\ boxed {24} $åæã®éã倧çç³ã§ãã |
äžè¬çãªç¬ã®ååã¯? | null | äžè¬çãªç¬ã®ååã¯ããã®ç¬ã®çš®é¡ãæ§æ Œãç¹åŸŽããŸãã¯é£Œãäž»ã®å¥œã¿ã«ãã£ãŠç°ãªããŸãããããã§ã¯äººæ°ã®ããç¬ã®ååã®äžéšã玹ä»ããŸãã
- ãã£ãŒãªãŒ
- ã«ãŒã·ãŒ
- ããŠã¯ãŒ
- ã«ããŒ
- ã³ã³
- ã¬ã€
- ãã«ãŒã¹
- ãžã§ãŒãžãŒ
- ãã«ã¯
- ãªã¬ãª
ãããã®ååã¯ãã¢ã¡ãªã«ã³ã±ã³ãã«ã¯ã©ãïŒAKCïŒãçºè¡šãã2022å¹Žã®æã人æ°ã®ããç¬ã®ååãªã¹ãã«åºã¥ããŠããŸãã |
ç§ã®ååãšãŒãªããã¯ãšãŠãå¥åŠã§ãã圌ã¯5ã§å²ãåããæ°åã®ã¿ã奜ãã§ãã | null | ãã®åé¡ã解決ããããã«ãæåã«5ã§å²ãåãã0ã5ããŸãã¯2ã7ã®çµã¿åããã§çµäºããæ°å€ãèŠã€ããŸãã<llm-code>
from sympy import Symbol, isprime, divisors
last_digit = [5, 0]
for i in range(10):
for j in divisors(i):
if j == 5:
last_digit.extend([j, i - j])
print(len(set(last_digit)))
</llm-code><llm-code-output>
2
</llm-code-output>
ãããã£ãŠã\\ Boxed {2}ç°ãªãæåŸã®æ°åããããŸãã |
DoveãColgateãPalmoliveãIvoryãPearl Milling CoãSofsoapãDawnãEthanã®ã©ããç³é¹žã®ãã©ã³ããªã®ãæããŠãã ããã | null | IvoryãDoveãPalmoliveãSofsoapãDawnã¯ç³é¹žã®ãã©ã³ãã§ããColgateãPearl Milling CoãEthanã¯ç³é¹žã®ãã©ã³ãã§ã¯ãããŸãããColgateã¯æ¯ç£šãç²ã®ãã©ã³ããPearl Milling Coã¯é£åäŒç€ŸïŒãã€ãŠã¯å°éºŠç²ããããµãŒã補é ïŒãEthanã¯ç³é¹žã»åç²§åäŒç€Ÿã§ãã |
奜ããªé£ã¹ç©ã¯äœã§ãã? | null | ç§ã¯AIã§ãããããé£äºãããããšã¯ã§ããŸãããã人éã奜ãé£ã¹ç©ã«ã€ããŠã¯æ§ã
ãªããŒã¿ãããšã«åæããããšãå¯èœã§ãã
äžè¬çã«ã¯ããã®äººã®åœç±ãæåçèæ¯ãå人çãªå¥œã¿ãã¢ã¬ã«ã®ãŒãªã©ã«ãã£ãŠã奜ããªé£ã¹ç©ã¯å€§ããç°ãªããŸãããŸããé£ã®å奜ã¯å¹Žéœ¢ãã©ã€ãã¹ããŒãžã®å€åã«ãã£ãŠãå€ããããšããããŸãã
äŸãã°ãäžéšã®æ¥æ¬äººã¯ãç±³ãå³åæ±ã寿åžãã©ãŒã¡ã³ãªã©ã奜ãäžæ¹ãä»ã®äººã
ã¯ãã³ããã¹ã¿ããã¡ã¹ãããŒãããšã¹ããã¯æçã奜ããããããŸããããŸããåã
ã®å¥œã¿ã«ãã£ãŠã¯ãã¹ã€ãŒãããã¶ãŒãã奜ããªäººãããã°ããé
ãã¯ã€ã³ã奜ããªäººãããã§ãããã
ããªãèªèº«ã®å¥œããªé£ã¹ç©ã«ã€ããŠã¯ãããªãèªèº«ãäžçªçè§£ããŠããããšããšæããŸãããããããããã®æçãæããŠããã ããã°ãããã«ã€ããŠã話ãããããšãã§ããŸãã |
æ©è¡è
ã¯éè·¯ã®ã©ã®åŽãæ©ãã®ã§ããïŒ | null | æ©è¡è
ã¯ãäžè¬çã«éè·¯ã®å·ŠåŽãæ©ããŸããããã¯ãå³åŽéè¡ã®åœã
ã§ã¯å·ŠåŽãè»äž¡ãéè¡ããæ©è¡è
ã察åè»äž¡ã確èªããããããã«ããããã§ãããŸããå·ŠåŽéè¡ã®åœã
ã§ããå·ŠåŽãæ©è¡è
ãéè¡ããããšãå€ãã§ãããã ããããã¯äžè¬çãªã«ãŒã«ã§ããããã¹ãŠã®åœãå°åã§åãã«ãŒã«ãé©çšãããŠããããã§ã¯ãããŸããããŸããéè·¯ã®ç¶æ³ã亀éã«ãŒã«ã«ãã£ãŠã¯ãäŸå€ãããå ŽåããããŸãã |
6. äžããããæ¥æ¬ã®å°æ¹ãããã®å°æ¹ã«ããæåãªéå
·ã1ã€ç޹ä»ããŠãã ããã | ä¹å· | ä¹å·å°æ¹ã«ã¯ãæåãªéå
·ãšããŠãåå€ç¹ãããããŸããåå€ç¹ã¯ãçŠå²¡çã®åå€å°åã§çç£ãããçµ¹ç¹ç©ã§ããã®æŽå²ã¯çŽ700幎ã«ããããŸããé«å質ã§å
æ²¢ããããç¹çްãªç¹ãç®ãç¹åŸŽçã§ããå
æ¥ãæŠå£«ã®éã§äœ¿ãããŠããããšãããæŠå£«ã®æ¬åž³ïŒããšã¡ã¢ã¿ïŒããšãåŒã°ããŠããŸããçŸåšã§ã¯ãçç©ã垯ã ãã§ãªããããã°ãã¹ããŒã«ãªã©ã®ãã¡ãã·ã§ã³å°ç©ã補é ãããŠãããå¹
åºã幎霢局ã«äººæ°ããããŸãã |
ãã«ãªã³ã§èŠãã¹ã5倧åæãæããŠãã ããã | null | ãã©ã³ãã³ãã«ã¯é
1791幎ã«å®æãããã®éã¯ããã€ãŠãã«ãªã³ã®è¡ãå®ã£ãŠããåå£ã®äžéšã§ããããã®éã¯ããã«ãªã³ã蚪ããå€ãã®äººã
ã«ãšã£ãŠããŸãæåã«èšªããå Žæãšãªã£ãŠããŸãã
ãã«ãªã³ã®ãã¬ãå¡
ãã€ãæ°äž»å
±ååœæä»£ã®1969幎ã«å®æãããã«ãªã³ã®ãã¬ãå¡ã¯ãæ±ãã€ãã®ã¡ãã£ã¢ãæ¯é
ããŠããããã®930ãã£ãŒãã®å¡ã¯ã仿¥ãæ±ãã«ãªã³ã®ã©ã³ãããŒã¯ãšãªã£ãŠããããã®ç¹åŸŽçãªãã¶ã€ã³ã§ãåžå
ã®ã©ãããã§ãèŠãããšãã§ããã
ãã©ã³ãã³ãã«ã¯å€§èå
1400幎代ã«å»ºãŠããããã®å€§èå ã¯ãçŸåšããã«ãªã³ã§æãéèŠãªæäŒã®1ã€ãšããŠåèšããŠããããŽã·ãã¯æ§åŒã®ãã®å€§èå ã¯ãå€ãã®äººã
ã芳å
ã§èšªããã ãã§ãªãã仿¥ã§ã宿ååŒã®ããã«äœ¿çšãããŠããã
ãã«ãªã³ã®å£
ãã«ãªã³ã®å£ã¯ã1961å¹Žã«æ±è¥¿ãã«ãªã³ãåè£ãããããã«å»ºãŠãããããã®å£ã¯1989幎ã«åŽ©å£ãããŸã§ãæ±ãã€ãã®åœæ°ã西åŽãžéããããšãé²ãã ããã®å£ã¯ä»æ¥ãå¹³åã®è±¡åŸŽãšèŠãªãããŠããããã«ãªã³åžå
ã«ããã€ãã®æçãæ®ãããŠããã
ãŠãã€äººåç©é€š
ãã®åç©é€šã¯ããã€ãã«ããããŠãã€äººã®æŽå²ãšæåãåºã玹ä»ããŠãããåç©é€šã®ãã¶ã€ã³ã¯ããŠãã€äººã®ã¢ãŒãã£ã¹ãããããšã«ã»ãªãã¹ãã³ãã«ãããã®ã§ããã®ãŠããŒã¯ãªå»ºç¯æ§åŒã§ãç¥ãããŠããã |
ã»ã«ããã¹ãåã®ãªã³ãã¬ã ããŒã¿ãŠã§ã¢ããŠã¹ãœãªã¥ãŒã·ã§ã³ã§ã¯ãªããBigQueryã䜿çšããããšã®èœãšã穎ã¯äœã§ããïŒããã©ãŒãã³ã¹ãã³ã¹ããäž¡æ¹ã®ã»ããã¢ããã®è€éãã«ã€ããŠã§ããã ã詳ããæããŠããã ããã°çæ³çã§ããçŸåšã®èŠä»¶ã¯å®äŸ¡ãªãœãªã¥ãŒã·ã§ã³ã§ãããããæãéèŠãªã®ã¯ã³ã¹ãé¢ã§ãã | null | Google BigQueryã¯ãã«ãããŒãžãåã®ãµãŒããŒã¬ã¹ã»ããŒã¿ãŠã§ã¢ããŠã¹ã»ãœãªã¥ãŒã·ã§ã³ã§ãããã»ã«ããã¹ãåã®ãªã³ãã¬ãã»ããŒã¿ãŠã§ã¢ããŠã¹ã»ãœãªã¥ãŒã·ã§ã³ãšæ¯èŒããŠããã€ãã®å©ç¹ãããããããããããã®ãªãã·ã§ã³ã®ã©ã¡ãããéžæããéã«æ³šæãã¹ãèœãšã穎ããããŸããããã§ã¯ãããã©ãŒãã³ã¹ãã³ã¹ããè€éæ§ã«çŠç¹ãåœãŠãŠããã®2ã€ãæ¯èŒããŸãïŒ
1.ããã©ãŒãã³ã¹
- ããã©ãŒãã³ã¹ïŒBigQueryïŒBigQueryã¯éåžžã«ã¹ã±ãŒã©ãã«ã§ã倧éã®ããŒã¿ãšã¯ãšãªãåŠçã§ããããã«èšèšãããŠããŸããããããBigQueryã¯å°èŠæš¡ã§é »ç¹ãªæŽæ°ã«ã¯æé©åãããŠãããããªã³ãã¬ãã¹ã®ãœãªã¥ãŒã·ã§ã³ãšæ¯èŒãããšã¬ã€ãã³ã·ãŒãè¥å¹²é«ããªãå¯èœæ§ãããã
- ãªã³ãã¬ãã¹ïŒããŒããŠã§ã¢ãšã€ã³ãã©ã¹ãã©ã¯ãã£ã«ãã£ãŠãããã©ãŒãã³ã¹ãç°ãªãå ŽåããããŸããé«åºŠã«æé©åãããã·ã¹ãã ã§ã¯ããªã³ãã¬ãã¹ã®ãœãªã¥ãŒã·ã§ã³ã®æ¹ãã¯ãšãªã®åŸ
ã¡æéãççž®ã§ããŸãããã ããã¹ã±ãŒãªã³ã°ã¯BigQueryã«æ¯ã¹ãŠè€éã§æéããããå¯èœæ§ããããŸãã
1.ã³ã¹ã
- BigQueryïŒBigQueryã®äŸ¡æ Œèšå®ã¯åŸé課éã¢ãã«ã«åºã¥ããŠãããããã«ã¯ã¹ãã¬ãŒãžãšã¯ãšãªã®äž¡æ¹ã®ã³ã¹ããå«ãŸããŸããããã¯ãäºæž¬äžå¯èœãªã¯ãŒã¯ããŒããå€åããã¯ãŒã¯ããŒãã«å¯ŸããŠã¯è²»çšå¯Ÿå¹æãé«ãå¯èœæ§ããããŸãããããŒã¿ãã¯ãšãªã®éãå¢ããã«ã€ããŠã³ã¹ããæ¥æ¿ã«å¢å ããå¯èœæ§ããããŸãããŸãã倧éã®ããŒã¿ãBigQueryãã転éããå Žåã¯ãã€ã°ã¬ã¹ã³ã¹ããçºçããå
šäœçãªã³ã¹ãã倧å¹
ã«å¢å ããå¯èœæ§ããããŸãã
- ãªã³ãã¬ãã¹ïŒãªã³ãã¬ãã¹ã®ãœãªã¥ãŒã·ã§ã³ã¯ãããŒããŠã§ã¢ããœãããŠã§ã¢ã©ã€ã»ã³ã¹ãããã³ã€ã³ãã©ã¹ãã©ã¯ãã£ã®ã»ããã¢ããã®ãããåæã³ã¹ããé«ããªãå¯èœæ§ããããŸããããããç¹ã«äºæž¬å¯èœã§å®å®ããã¯ãŒã¯ããŒãã®å Žåãé·æçãªã³ã¹ãã¯äœããªãå¯èœæ§ããããŸããçµåžžçãªã³ã¹ããåé¿ã§ããçµè²»ãããã³ã³ãããŒã«ãããããªãã
1.è€éãïŒ
- BigQueryïŒBigQueryã®äž»ãªã¡ãªããã®1ã€ã¯ã䜿ãããããšæå°éã®ã»ããã¢ããèŠä»¶ã§ããã€ã³ãã©ç®¡çã«ã€ããŠå¿é
ããå¿
èŠã¯ãªããä»ã®Google CloudãµãŒãã¹ãšã®çµ±åãã·ãŒã ã¬ã¹ã§ãããã ããGoogle Cloud Platformã«æ
£ããŠããªãå Žåã¯ãåŠç¿æ²ç·ããããããããªãã
- ãªã³ãã¬ãã¹ïŒãªã³ãã¬ãã¹ã§ããŒã¿ãŠã§ã¢ããŠã¹ãæ§ç¯ããå Žåãè€éã§æéããããã瀟å
ã«ããªãã®å°éç¥èãå¿
èŠã«ãªããŸããããŒããŠã§ã¢ããœãããŠã§ã¢ããããã¯ãŒã¯ãã»ãã¥ãªãã£é¢ã管çããå¿
èŠããããŸããããã«ãä»ã®ãµãŒãã¹ãããŒã«ãšã®çµ±åã¯ãBigQueryã«æ¯ã¹ãŠæéããããå ŽåããããŸãã
å¿
èŠãªã€ã³ãã©ããã§ã«æŽã£ãŠãããé·æçã«ã³ã¹ããæé©åã§ããã®ã§ããã°ãå®äŸ¡ãªãœãªã¥ãŒã·ã§ã³ãžã®èŠä»¶ã«åºã¥ãããªã³ãã¬ãã¹åã®ããŒã¿ãŠã§ã¢ããŠã¹ãé©ããŠãããããããŸãããããããããŒã¿ãã¯ãšãªéãäºæž¬ã§ããªãå Žåãå€åããå Žåã¯ãBigQueryã®åŸé課éã¢ãã«ã®æ¹ãè²»çšå¯Ÿå¹æãé«ããããããŸãããããŒã¿ã¹ãã¬ãŒãžãã¯ãšãªåŠçã«é¢é£ããã³ã¹ãã ãã§ãªããåæè²»çšãç¶ç¶çãªç®¡çãã¹ã±ãŒã©ããªãã£ãªã©ã®èŠçŽ ãèæ
®ããããã«ããŠãã ããã |
è»ã®ãã³ãã®åµæ±ããèœãšãæ¹æ³ã«ã€ããŠæã㊠| null | è»ã®å¡è£
ã«ä»çãã嵿±ããé€å»ããããã«ã¯ã以äžã®æé ãåèã«ããŠãã ããã
### å¿
èŠãªææ
- äžæ§æŽå€ïŒã«ãŒã·ã£ã³ããŒãæãŸããïŒ
- ã¹ãã³ãžãŸãã¯æãããåž
- æ°Ž
- ã¿ãªã«ãŸãã¯ãã€ã¯ããã¡ã€ããŒã¯oth
- ããªãã·ã£ãŒãŸãã¯ã³ã³ããŠã³ãïŒå¿
èŠã«å¿ããŠïŒ
### æé
1. æ±ãã確èªããŠãã ãããå°ããªåµæ±ãã§ããã°ãææŽãã§èœãšãããšãã§ããŸãã倧ããªæ±ããå€ãæ±ãã¯ãããªãã·ã£ãŒãšã³ã³ããŠã³ãã䜿çšããå¿
èŠãããå ŽåããããŸãã
2. äžæ§æŽå€ãåžéããæ°Žã«æãããã¹ãã³ãžãŸãã¯åžã浞ããæ±ããåªããæŠã£ãŠé€å»ããŸãã
3. æ±ããèœãšããããè»äœå
šäœãæŽè»ããŠæ±ããæŽå€ã®æ®ããåãé€ããŸãã
4. æŽè»åŸãã¿ãªã«ãŸãã¯ãã€ã¯ããã¡ã€ããŒã¯othã§æ°ŽåãæãåããŸãã
5. æ±ãããªããªãèœã¡ãªãå Žåãå¡é¢ã«å·ãä»ããŠããŸã£ãå Žåã¯ãããªãã·ã£ãŒãšã³ã³ããŠã³ãã䜿çšããŠå·ã®è£ä¿®ãæ±ãã®é€å»ãè¡ã£ãŠãã ããã
### 泚æç¹
- 嵿±ããé·æéä»çããŠãããšãå¡©åã«ã«ã·ãŠã ãªã©ã®çµæ¶ãå¡è£
é¢ãå·ã€ããå¯èœæ§ããããŸãã
- 絶察ã«çŽ æã§åµæ±ããè§Šãããšã¯é¿ããŠãã ãããç®èããã¶ããå¯èœæ§ããããŸãã
- 嵿±ããåŒ·ãæŠããšãå¡è£
é¢ã«å·ãã€ãå¯èœæ§ãããã®ã§æ³šæãå¿
èŠã§ãã
塵ãé¿ããæ±ãã«å¿ããŠé©åãªæ¹æ³ã§è»ãæž
æœã«ä¿ã€ããšãéèŠã§ããäžèšã®æé ã§ãè»ã®åµæ±ãã確å®ã«é€å»ããŸãããã |
æ°ããæ¡çšãããäŒç€Ÿå¡ã®ããã®å
¥ç€Ÿè¬åº§ã«åå ããäºå®ã§ããåå ããããšã§ç¿åŸã§ããã¹ãã«ãç¥èã3ã€æããŠãã ããã | null | å
¥ç€Ÿè¬åº§ã§ã¯ã以äžã®3ã€ã®ã¹ãã«ãç¥èãç¿åŸã§ããŸãã
1. **ããžãã¹ãããŒ**: 瀟äŒäººãšããŠã®åºæ¬çãªãããŒãæšæ¶ãããžãã¹ã·ãŒã³ã§ã®æ¯ãèãæ¹ãªã©ãåŠã³ãŸãã
2. **äŒç€Ÿã®çµç¹ãæ¥åå
容ã®çè§£**: äŒç€Ÿã®çµç¹æ§æãåéšçœ²ã®åœ¹å²ãæ¥åå
容ã«ã€ããŠåŠã³ãŸããããã«ãããèªåã®åœ¹å²ãäŒç€Ÿå
šäœã®ããžã§ã³ãçè§£ããããšãã§ããŸãã
3. **ã³ãã¥ãã±ãŒã·ã§ã³ã¹ãã«**: 瀟å
å€ã§ã®å¹æçãªã³ãã¥ãã±ãŒã·ã§ã³ã®åãæ¹ãåŠã³ãŸããããã«ãããè·å Žã§ã®äººéé¢ä¿ãåæ»ã«é²ããããšãã§ããŸãã |
çžå¯Ÿæ§çè«ãçºèŠãã人 | null | çžå¯Ÿæ§çè«ãçºèŠãã人ç©ã¯ã**ã¢ã«ãã«ãã»ã¢ã€ã³ã·ã¥ã¿ã€ã³**ã§ãã圌ã¯20äžçŽåé ã«ãã®é©åœçãªçè«ãå°å
¥ããåŸæ¥ã®ç©çåŠã®æŠå¿µãèŠããŸããã
ã¢ã€ã³ã·ã¥ã¿ã€ã³ã®çžå¯Ÿæ§çè«ã¯ã**ç¹æ®çžå¯Ÿæ§çè«**ïŒ1905幎ïŒãš**äžè¬çžå¯Ÿæ§çè«**ïŒ1915幎ïœ1916幎ïŒã®2ã€ã®éšåããæãç«ã£ãŠããŸãã
- **ç¹æ®çžå¯Ÿæ§çè«**ïŒé床ãå
ã®éãã«è¿ã¥ãã«ã€ããŠæéã®çµéãé
ããªãããšããããŠè³ªéãšãšãã«ã®ãŒãç䟡ã§ããããšã瀺ããŸãããããã«ãããåœŒã¯æåãª**E=mc²**ã®æ¹çšåŒãå°ãåºããŸããã
- **äžè¬çžå¯Ÿæ§çè«**ïŒéåã空éãšæéã®æªã¿ãšããŠèª¬æããŸããã圌ã¯ã質éã®å€§ããªç©äœããã®åšãã®ç©ºéãæªãããããä»ã®ç©äœã«å¯ŸããéåãšããŠçŸããããšãçè§£ããŸããã
ã¢ã€ã³ã·ã¥ã¿ã€ã³ã®ãããã®çºèŠã¯ãçŸä»£ç©çåŠã®åºç€ãæãéèŠãªçè«ãæäŸãã圌ã¯åŸã«ããŒãã«ç©çåŠè³ãåè³ããŸããã |
ãã¡ãããžã£ã ã®äœãæ¹ã«ã€ããŠæã㊠| null | ããã§ã¯ããã¡ãããžã£ã ã®äœãæ¹ã«ã€ããŠèª¬æããŸãã
## ææ
- ãã¡ããïŒ500g
- ç ç³ïŒ250g
- ã¬ã¢ã³æ±ïŒå€§ãã1
## éå
·
- é
- ãã¬ã€
- åž
- ä¿å容åš
## äœãæ¹
1. ãã¡ãããæŽãããã¿ãåãé€ããŸãã
2. ãã¡ãããé©åœãªå€§ããã«ã«ããããŸãã
3. éã«ãã¡ãããå
¥ããæ°ŽåãåºããŸã§ç±ããŸãã
4. æ°Žåãåºãããç ç³ãšã¬ã¢ã³æ±ãå ããŠããæ··ããŸãã
5. ããæ··ããªããç±ããæ²žéš°ããã匱ç«ã«ããŠãã¬ã€ã«åºããèªç¶ã«å·ãŸããŸãã
6. åžã§å
ãã§çµãåºããå床éã«æ»ããŸãã
7. å床ç±ãããšãã¿ãã€ããã宿ã§ãã
## ä¿åæ¹æ³
ç
®æ²žããä¿å容åšã«å
¥ããå¯éããŠä¿åããŸããå·èµä¿åã§çŽ1ã¶ææã¡ãŸãã
楜ãããžã£ã äœãã®æéããæ¥œãã¿ãã ããïŒ |
ç«ææ¥ã®è²ã¯äœè²? | null | ç«ææ¥ã¯ç¡è²ã§ããè²ã¯å
ã®æ³¢é·ã«ãã£ãŠåŒãèµ·ããããç¹å®ã®æ³¢é·ã¯å¯èŠå
ç·ã®ç¯å²å
ã«ãããŸããããã¯ãå
åŠçã«å¯æž¬å¯èŠå
ãšå®çŸ©ããããã®ã§ãã
ç«ææ¥ã¯å€©ç¶ã«è²ãæããªããããç¡è²ãšã¿ãªãããããšãé©åã§ãã
倪éœå
ã¯çœè²ã«èŠããŸããããã®ã¹ãã¯ãã«ã«ã¯å¯èŠå
ã®å
šé åãå«ãŸããŠããŸããããã¯ãå¯èŠå
ãåå°ãã衚é¢ã®æ§è³ªã«ãããç§ãã¡ã®ç®ã«ã¯ç¹å®ã®è²ãšããŠçŸããããšãæå³ããŸãã |
äžçæ»
亡æã®ããã³ã¹ã«ã€ããŠã®æ¬ã®ããã«ã8æã®ã¹ããŒãªãŒã»ã¢ãŠãã©ã€ã³ãäœæããªããã | null | ç©èªã¯ã䞻人å
¬ã®è¥ã女æ§ãšãŽã¡ãã圌女ã®ç¥ãäžçã«çµæ«ãããããäžçèŠæš¡ã®å€§çœå®³ãè¿«ã£ãŠããããšãç¥ããšããããå§ãŸãã
ãã®ç¥ãããåãå
¥ããããšå¥®éãããšãŽã¡ã¯ãåãããã«åéºå¿ãæã€ãžã£ãã¯ãšããé
åçãªç·æ§ãšåºäŒãã
äžçã®çµãããšããæ··ä¹±ãšäžç¢ºå®æ§ã«ããããããããšãŽã¡ãšãžã£ãã¯ã¯ããã«æã«èœã¡ããµããã®æéãæå€§éã«æŽ»çšããããšã決æããã
äºäººã¯ãæé
ãã«ãªãåã«äžçãèŠãŠåãããã®ãã¹ãŠãäœéšããããšæ
ã«åºãã
ãã®éäžããµããã¯æ°ã
ã®å°é£ãé害ã«çŽé¢ããããäºããžã®æããã®ã²ãšã€ã²ãšã€ãä¹ãè¶ããããŠããã
äžçã®çµãããè¿ã¥ãã«ã€ãããšãŽã¡ãšãžã£ãã¯ã¯ãã±ãããªã¹ããéæããäžçæ®ãæãåºãäœãããã«æéãšã®æŠãã«èº«ãæããããšã«ãªãã
æåŸã®æ°æ¥ããµããã®æã¯äžçã®çµããããã匷ãããšãã«çµãããè¿ããã®ã ãšæ°ã¥ãã
ã¢ããšãžã£ãã¯ã¯æãåãåããäºäººã§äœã£ãæãåºã«å²ãŸããªãããäžçãçµãããè¿ããã®ãèŠéããç©èªã¯ã»ãèŠãå¹åããšãªãã |
1æ¥1æéããç·Žç¿æéããªãå Žåãå€åœèªãç¿åŸããã«ã¯ã©ã®ãããªæ¹æ³ãããã®ã§ããããïŒ | null | 1æ¥1æéã§ååã ïŒ
1æéã2ã€ã®æŽ»åã«åããã®ãè¯ãæ¹æ³ã ïŒå埩緎ç¿ãšç解緎ç¿ã ã
ããªãŒã§ãªãŒãã³ãœãŒã¹ã®å埩åŠç¿ããŒã«ã¯Ankiã§ãã³ãã¥ããã£ãäœæããããªãã®èšèªã®ãã©ãã·ã¥ã«ãŒãã»ãããããŠã³ããŒãããããèªåã§ã«ã¹ã¿ã ã«ãŒããäœæããããšãã§ããŸãããã©ãã·ã¥ã«ãŒãã¯ãåèªãææ³èŠåãééããããŠå埩ããããšã§èšæ¶ããçŽ æŽãããæ¹æ³ã§ãã
æåã¯ç°¡åãªæ¬ãåŸã«ã¯ãã¬ãçªçµãæ ç»ãã©ãžãªå±ãªã©ãåŠç¿ããããšããŠããèšèªã®ãªãŒãã£ã³ã°ããªã¹ãã³ã°ã®ç·Žç¿ãäžç·ã«è¡ããšããã«å¹æçã§ãïŒæ°ããèªåœãæžãçããAnkiã®å埩緎ç¿ãªã¹ãã«è¿œå ããã°ãããªãã®ã¹ãã«ã¯ç¢ºå®ã«åäžããŸãã
çè§£ããããšãã§ããããã«ãªã£ããããã€ãã£ãã®ããã«è©±ãããéèš³ãããããããã«ã¯ãäŒè©±ç·Žç¿ããã€ãã£ãã¹ããŒã«ãŒãšã®äº€æµãäžå¯æ¬ ã§ãã
ãã®ãããªåœ¹å²ãæãããªã³ã©ã€ã³ã»ã³ãã¥ããã£ããµãŒãã¹ã¯ããã€ããããŸãããããªãã®äœãã§ããå°åã«ããã®ãããªå ŽæããããããããŸããïŒ |
äžããããäŸæã®èªã¿ããªãä»ããŠãã ããã | ããã«ã¡ã¯ãäžçã | **[ãããã«ã¡ã¯ãäžçããã®èªã¿ããª]**
"ããã«ã¡ã¯ãäžçã"ã®èªã¿ããªã¯ããããã«ã¡ã¯ããããããã§ãã |
1è¡ã§1ãã200ãŸã§ã®çŽ æ°ã®ãªã¹ããååŸããPythonã³ãŒããäœæããã©ã ã颿°ãšãªã¹ãã³ã³ããªã±ãŒã·ã§ã³ã䜿çšãã | null | ã©ã ã颿°ãšãªã¹ãã³ã³ããªãã³ã·ã§ã³ã䜿çšããŠ1è¡ã§1ãã200ãŸã§ã®çŽ æ°ãçæããPythonã³ãŒãã¯ä»¥äžã®éãã§ãã
```python
primes = list(filter(lambda x: all(x % y for y in range(2, int(x ** 0.5) + 1)), range(2, 201)))
```
ãã®ã³ãŒãã¯ã`filter`颿°ã䜿çšããŠã1ãã200ãŸã§ã®æ°ã1ã€ãã€`lambda`颿°ã«æž¡ããŠããŸãã`lambda`颿°ã¯ãäžããããæ°ãçŽ æ°ãã©ããã倿ããããã®æ¡ä»¶ããã¹ãããŸããæ¡ä»¶ãšããŠã¯ããã®æ°ã2ãããã®æ°ã®å¹³æ¹æ ¹ãŸã§ã®ãã¹ãŠã®æ°ã§å²ãåãããã©ããããã¹ãããŠããŸããå²ãåããå Žåã¯ããã®æ°ã¯çŽ æ°ã§ã¯ãªããããã£ã«ã¿ãªã³ã°ãããŸããçµæãšããŠåŸãããã®ã¯1ãã200ãŸã§ã®çŽ æ°ã®ãªã¹ãã§ãã |
äžããããXMLãã¡ã€ã«ã®ããŒã¿ãããŒã¹ããé²èЧå¯èœãªPythonãªããžã§ã¯ããçæããŸãã | XMLãã¡ã€ã«ïŒdata.xml | ```python
import xml.etree.ElementTree as ET
tree = ET.parse('data.xml')
root = tree.getroot()
``` |
äžåŠçã®å¥³ã®åãæåãããæ¹æ³ãæã㊠| null | äžåŠçã®å¥³ã®åãæåãããæ¹æ³ã«ã¯ä»¥äžã®ãããªãã®ããããŸãïŒ
1. èª å®ããšæããããæã£ãŠæ¥ãã: æãããã瀺ãããšã§ã圌女ã®å¿ãéããŠä¿¡é Œãç¯ãããšãã§ããŸãã
2. 圌女ã®èå³ãé¢å¿ãçè§£ãã: 圌女ã倢äžã«ãªã£ãŠããããšã«ã€ããŠè©±ãããšã§ã圌女ã®å¿ãã€ããããšãã§ããŸãã
3. è€ãã: 圌女ã®é·æãé 匵ããèŠã€ããŠè€ããããšã§ã圌女ã®èªå·±è©äŸ¡ãé«ããããšãã§ããŸãã
4. å
±æãã: åœŒå¥³ã®æ°æã¡ã«å¯ãæ·»ãããšã§ã圌女ã®å¿ãéããŠãããæ·±ãçè§£ãæã€ããšãã§ããŸãã
5. ãµãã©ã€ãºã仿ãã: 圌女ãé©ãããããšã§ã圌女ã®å¿ãã€ããããšãã§ããŸãã
6. åœŒå¥³ãæ¯æŽãã: 圌女ãé 匵ã£ãŠããããšã«å¯ŸããŠãæå©ããããããšã§ã圌女ã®ä¿¡é ŒãåŸãããšãã§ããŸãã
ãããã®æ¹æ³ãé©åã«æŽ»çšããããšã§ãäžåŠçã®å¥³ã®åãæåãããããšãã§ããã§ãããã |
HTMLã®ç·šéã«VSCodeã䜿çšããŠããŸãããç·šéæã«èªåã§åèªã¿èŸŒã¿ãããããã¥ã¡ã³ãã®ãã¬ãã¥ãŒãååŸããã«ã¯ã©ãããã°ããã§ããïŒ | null | ç·šéæã«èªåãªããŒããããVSCodeã®HTMLããã¥ã¡ã³ãã®ãã¬ãã¥ãŒãååŸããã«ã¯ãLive Serverãšã¯ã¹ãã³ã·ã§ã³ã䜿çšããããšãã§ããŸãã以äžã¯ãã®èšå®æé ã§ãïŒ
1.VSCodeã§HTMLãã¡ã€ã«ãéããŸãã
2.å·Šãµã€ãããŒã® "æ¡åŒµæ©èœ "ã¢ã€ã³ã³ãã¯ãªãã¯ããããŒã±ãããã¬ã€ã¹ã§ "Live Server "ãæ€çŽ¢ãã"ã€ã³ã¹ããŒã« "ãã¿ã³ãã¯ãªãã¯ããŠãLive Serveræ¡åŒµæ©èœãã€ã³ã¹ããŒã«ããŸãã
3.æ¡åŒµæ©èœãã€ã³ã¹ããŒã«ãããããVSCodeãŠã£ã³ããŠã®å³äžã«ãã "Go Live "ãã¿ã³ãã¯ãªãã¯ããŠãã ãããããã«ãããHTMLãã¡ã€ã«ãæäŸããããŒã«ã«ãµãŒããŒãèµ·åããŸãã
4.HTMLãã¡ã€ã«ã¯èªåçã«ããã©ã«ãã®ãã©ãŠã¶ã§éãã¯ãã§ããéããªãå Žåã¯ãã¿ãŒããã«åºåã«è¡šç€ºããããªã³ã¯ãã¯ãªãã¯ããããæåã§ãã©ãŠã¶ã®ãhttp://localhost:5500ãã«ç§»åããŠãã ããã
5.HTMLãã¡ã€ã«ã«å€æŽãå ãããšããã©ãŠã¶ã®ãã¬ãã¥ãŒãèªåçã«æŽæ°ãããã¯ãã§ãã
以äžã§ãïŒLive Serverã䜿ãã°ãHTMLãã¡ã€ã«ãç°¡åã«ãã¬ãã¥ãŒãã倿Žããªã¢ã«ã¿ã€ã ã§ç¢ºèªããããšãã§ããŸãã |
人ã§ãã£ã±ãã®ããŒããèŠãŠããè¹ã«ã¯äžäººãä¹ã£ãŠããªããã©ãããŠãããªããšãå¯èœãªã®ãã | null | ãã®åé¡ã¯ãåã«ã人ãå€ãããŠè¹ã«ä¹ããªãããšããçŸè±¡ã瀺ããŠããŸããã€ãŸããè¹ã®å®¹éãè¶
ããŠå€ãã®äººãããŒããåãå²ãã§ããããã誰ãè¹ã«ä¹ãããšãã§ããªãã®ã§ãã |
äžçã§äžçªé«ãå±±ã¯ã©ãã§ãã | null | äžçã§äžçªé«ãå±±ã¯ãšãã¬ã¹ãïŒMount EverestïŒã§ãããšãã¬ã¹ãã¯ãããŒã«ãšäžåœã®åœå¢ã«äœçœ®ããŠããŸãããã®æšé«ã¯çŽ8,848.86 mïŒ29,031.69 ftïŒã§ãããã¯æµ·æããã®é«ããšããŠã¯äžçã§æãé«ãå±±ã®äžã€ã§ãã
ãšãã¬ã¹ãã¯1953幎ã«åç»é ãããŠä»¥æ¥ãå€ãã®ç»å±±å®¶ãåéºå®¶ã«ãšã£ãŠæ§ãã®å±±ãšãªã£ãŠããŸãããã ãããã®ç»å±±ã¯éåžžã«å±éºã§ãããé«å°ç»å±±ã®çµéšãšååãªèšç·Žãå¿
èŠã§ãã |
ã«ã©ãŒãã£ã«ã ã®çŸåæ¹æ³ã«ã€ããŠæã㊠| null | ã«ã©ãŒãã£ã«ã ã®çŸåæ¹æ³ã«ã€ããŠèª¬æããŸãã
## æºåãããã®
- ã«ã©ãŒãã¬ãã£ã«ã
- çŸåæ¶²ïŒã«ã©ãŒçŸåæ¶²ïŒ
- åæ¢æ¶²
- å®çæ¶²
- æŽæµæ¶²
- ç
§æïŒèµ€ãå
ïŒ
- çŸåã¿ã³ã¯ãšãã¬ãŒ
- æé管çããŒã«ïŒã¹ããããŠã©ãããã¿ã€ããŒïŒ
## æé
1. ãã£ã«ã ãçŸåã¿ã³ã¯ããã¬ãŒã«å·»ãã€ãããã¡ããšåºå®ããŸãã
2. çŸåæ¶²ãã¿ã³ã¯ããã¬ãŒã«æ³šããå
šäœã«è¡ãæž¡ãããã«ããŸãã
3. èµ€ãå
ã®äžã§äœæ¥ãè¡ããŸããéåžžã®çœè²å
ã¯ãã£ã«ã ãæå·ãããå¯èœæ§ããããŸãã
4. çŸåæ¶²ã«ãã£ã«ã ãæµžæŒ¬ããããæž©åºŠã管çããæå®ãããæééãã«çŸåãè¡ããŸãã
5. çŸåãçµãããšã次ã¯åæ¢æ¶²ã䜿ã£ãŠçŸååå¿ãæ¢ããŸãã
6. å®çæ¶²ã§ãã£ã«ã ãå®çãããçœã£ãœãéšåããã£ãããšé»ããªãããã«ããŸãã
7. æåŸã«ãæŽæµæ¶²ã§ãã£ã«ã ãšäœ¿çšãããã¹ãŠã®åšå
·ããã£ãããšæŽæµããŸãã
çŸåã®éã«ã¯ã枩床管çãšæé管çãéåžžã«éèŠã§ãããŸããæé ãæ£ç¢ºã«è¡ãããšã§ãé«å質ãªã«ã©ãŒãã¬ãã£ã«ã ãåŸãããŸãããã®èª¬æã¯åºæ¬çãªãã®ã§ãããå
·äœçãªæéãæ¶²ã®åéã¯äœ¿çšãã補åãæ¡ä»¶ã«ããç°ãªãå ŽåããããŸããå¿
ã䜿çšèª¬ææžãèªã¿ãå®å
šäžã®æ³šæãå®ã£ãŠè¡ã£ãŠãã ããã |
åæã1ã€è© ã¿ãŸãã | null | 倿¥ããæ¥æ¬äººã«æãããŠããåæã¯ãæ
æ¯ã®æåã人ã
ã®å¿æ
ãçŸãã衚çŸãããã®ãšããŠèŠªããŸããŠããŸããããã®äŒçµ±ã¯çŸä»£ã«ãããŠãåãç¶ãããŠãããå€ãã®äººã
ãåæã®é
åã«è§ŠããŠããŸãã
ããã§ãç§ã¯ããªãã«äžã€ã®åæãè© ãã§ããã ããããšæããŸããããŒãã¯èªç±ã§ããããªãã®ææ
ãäœéšããããŠåšå²ã®çŸããèªç¶ãªã©ãã©ã®ãããªããšã§ãæ§ããŸããã
ããªããæãããŸãŸã«ãäºäžäºã®å®åè©©ã«ä¹ããŠãèšèã§å¿ã®äžçã衚çŸããŠãã ãããããªãã®å¿ã®å£°ããæ¥æ¬ã®äŒçµ±çãªåœ¢åŒã§ããåæãšããŠè© ãããšã§ãæ°ããªèŠç¹ãææ§ã®çºèŠã«ç¹ãããããããŸããã
â»57575
(ããªãã®è© ãåæãå
¥ããŠãã ãã) |
以äžã®XMLããŒã¿ãè§£æããåŠçã®ååãšåŸç¹ã衚瀺ããã³ãŒããäœæããŠãã ããã | ```xml
<class>
<student name="Tom">
<score>85</score>
</student>
<student name="Alice">
<score>92</score>
</student>
<student name="Bob">
<score>78</score>
</student>
</class>
``` | ```python
import xml.etree.ElementTree as ET
data = """<class>
<student name="Tom">
<score>85</score>
</student>
<student name="Alice">
<score>92</score>
</student>
<student name="Bob">
<score>78</score>
</student>
</class>"""
root = ET.fromstring(data)
for student in root.findall('student'):
name = student.get('name')
score = student.find('score').text
print(f'{name}: {score}')
``` |
äžããããæ ç»ã®ãžã£ã³ã«ã«ãã©ã³ã¹ã®ãšããæ ç»ã¿ã€ãã«ãããã€ãåæããŠãã ããã | ãµã¹ãã³ã¹ | 1. ãµã¹ãã³ã¹
2. ãµã€ã³ã¹ãªã©ãŒ
3. ãã¹ããªãŒ
4. ã¹ãªã©ãŒ
5. ãã©ã
6. ã¢ã¯ã·ã§ã³
7. ãã¡ã³ã¿ãžãŒ
8. ãµã€ãšã³ã¹ãã£ã¯ã·ã§ã³
9. ããã³ã¹
10. ã³ã¡ã㣠|
以äžã®æ§é ["Name", "URL", "Rating"]ãæã€CSVãã¡ã€ã«ãåŠçããPNGãšããŠä¿åããããã«URLè¡ã®äžã«åç»åãããŠã³ããŒããããã¡ã€ã«åãšããŠNameã䜿çšããååãšããŠRatingã䜿çšããŠãµããã©ã«ãã®äžã«ä¿åããCSVãã¡ã€ã«ãšåºåãã¹ãéžæã§ããããã«tkinter GUIã远å ããpythonã³ãŒããæžããŠãã ããã | null | TkInterã®GUIãæã€Pythonããã°ã©ã ã§ãCSVãã¡ã€ã«ã§æå®ããããã©ãŒãããã®ç»åãããŠã³ããŒãããŸãããã®ããã°ã©ã ã«ã¯Requestsã©ã€ãã©ãªãã€ã³ã¹ããŒã«ãããŠããå¿
èŠããããŸãããã®ã©ã€ãã©ãªã¯pipãŠãŒãã£ãªãã£ãªã©ã§ã€ã³ã¹ããŒã«ã§ããŸãã
python
ã€ã³ããŒã csv
import pathlib
import tkinter as tk
from tkinter.filedialog import askopenfilename, askdirectory
from tkinter import ttk, messagebox
ã€ã³ããŒããªã¯ãšã¹ã
ã¯ã©ã¹ DownloadWindowïŒ
def __init__(self)ïŒ
self.csvfile = None
self.outdir = None
self.root = tk.Tk()
self.root.geometry("200x100")
self.filechoosebutton = ttk.Button(self.root, text='CSVãã¡ã€ã«ãéžæ', command=self.choose_file)
self.filechoosebutton.pack()
self.dirchoosebutton = ttk.Button(self.root, text='åºåãã£ã¬ã¯ããªãéžæ', command=self.choose_dir)
self.dirchoosebutton.pack()
self.runbutton = ttk.Button(self.root, text='ãã¡ã€ã«ãããŠã³ããŒã', command=self.download)
self.runbutton.pack()
def choose_file(self)ïŒ
self.csvfile = askopenfilename()
def choose_dir(self)ïŒ
self.outdir = askdirectory()
def download(self)ïŒ
if self.csvfile is None or self.outdir is NoneïŒ
messagebox.showerror(title='Error', message='CSVãã¡ã€ã«ãŸãã¯åºåãã¹ãæäŸãããŠããŸããïŒ')
ãªã¿ãŒã³
with open(self.csvfile, 'r') as fileïŒ
reader = csv.reader(file)
for line in readerïŒ
self.download_one(*line)
def download_one(self, name, url, rating)ïŒ
åºåãã£ã¬ã¯ã㪠= pathlib.Path(self.outdir) / rating
output_directory.mkdir(parents=True, exist_ok=True)
output_file = output_directory / f'{åå}.png'
response = requests.get(url)
with open(output_file, 'wb') as outïŒ
out.write(response.content)
def run(self)ïŒ
self.root.mainloop()
def main()ïŒ
download_window = DownloadWindow()
download_window.run()
if __name__ == '__main__'ïŒ
main()
``` |
以äžã®æ
å ±ã䜿çšããŠãæ¥æ¬èªã§é
åçãªã¹ã©ã€ãã®ã¿ã€ãã«ãèããŠãã ããã | æ
å ±
- ãããã¯ïŒäžçå¹³å
- 泚ç®ãã¹ãç¹ïŒäººå£ã®æ¥éãªå¢å
- ã¿ãŒã²ããïŒåŠç | ãåŠçå¿
èŠïŒäžçå¹³åãç®æãããã®äººå£å¢å åé¡ãžã®åãçµã¿ã |
N次å
ãã¯ãã«éã®è·é¢ãèšç®ããæ¹æ³ããã³ã¡ã³ãä»ãã®ç°¡åãªPythonã³ãŒãã§èª¬æããã | null | ãã¡ããã§ãïŒ2ã€ã®N次å
ãã¯ãã«éã®ãŠãŒã¯ãªããè·é¢ãèšç®ããPython颿°ã®äŸã瀺ããŸãïŒ
Python
ã€ã³ããŒã math
def euclidean_distance(vector1, vector2)ïŒ
"""
2ã€ã®N次å
ãã¯ãã«éã®ãŠãŒã¯ãªããè·é¢ãèšç®ããŸãã
"""
# äž¡æ¹ã®ãã¯ãã«ãåãæ¬¡å
ã§ããããšã確èªãã
if len(vector1) != len(vector2)ïŒ
raise ValueError("ãã¯ãã«ã¯åãæ¬¡å
ã§ãªããã°ãªããŸããã")
# ãã¯ãã«ã®åæåéã®å·®ã®2ä¹ãèšç®ãã
squared_diff = 0
for i in range(len(vector1))ïŒ
squared_diff += (vector1[i] - vector2[i]) ** 2
# å·®åã®äºä¹åã®å¹³æ¹æ ¹ãè¿ã
return math.sqrt(squared_diff)
```
ãã®é¢æ°ã®äœ¿çšäŸã§ãïŒ
``python
vector1 = [1, 2, 3
ãã¯ãã«2 = [4, 5, 6
distance = euclidean_distance(vector1, vector2)
print(distance)
```
ããã¯åºåãããïŒ
```
5.196152422706632
```
ãã®é¢æ°ã¯ãäž¡æ¹ã®ãã¯ãã«ã Python ã®ãªã¹ããšããŠè¡šçŸãããŠãããšä»®å®ããŠããããšã«æ³šæããŠãã ãããNumPy ã®é
åãä»ã®ããŒã¿æ§é ã䜿ã£ãŠããå Žåã¯ããã®é¢æ°ãä¿®æ£ããå¿
èŠããããããããŸããã
ãŠãŒã¯ãªããè·é¢ã¯2ã€ã®ãã¯ãã«éã®è·é¢ã枬å®ãã1ã€ã®æ¹æ³ã«éããŸãããä»ã«ããã³ããã¿ã³è·é¢ãäœåŒŠè·é¢ãªã©ã䜿çšã§ããè·é¢ã¡ããªãã¯ã¯ãããããããŸããè·é¢ã¡ããªãã¯ã®éžæã¯ã解決ããããšããŠããç¹å®ã®åé¡ãšããŒã¿ã®ç¹æ§ã«äŸåããŸãã |
颚éªãã€ã³ãã«ãšã³ã¶ã®äºé²ã«å¹æçãªãã¿ãã³ãµããªã¡ã³ãã«ã¯ã©ããªãã®ãããã®ã§ããããã | null | ãã¿ãã³ãµããªã¡ã³ãã®äžã§ããç¹ã«é¢šéªãã€ã³ãã«ãšã³ã¶ã®äºé²ã«å¹æçãšãããŠãããã®ã«ã¯ä»¥äžã®ãããªãã®ããããŸãã
1. **ãã¿ãã³ D**: ãã¿ãã³ Dã¯ã«ã«ã·ãŠã ã®åžåãå©ããã ãã§ãªããå
ç«ã·ã¹ãã ã®æ©èœã«ã圱é¿ãäžããŸãããã¿ãã³ D ã®æåã¯ã颚éªãã€ã³ãã«ãšã³ã¶ã®ãªã¹ã¯ãæžããããšã瀺ãããŠããŸãã
2. **ãã¿ãã³ C**: ãã¿ãã³ C ã¯çœè¡çã®æ©èœããµããŒãããå
ç«åãé«ããŸããããã«ãã¹ãã¬ã¹ãç
æ°ã«å¯Ÿæããäœå
ã®é
µçŽ ã®çæã«ãé¢äžããŠããŸãã
3. **äºé**: äºéã¯å
ç«ã·ã¹ãã ã®æ©èœã«éèŠãªåœ¹å²ãæããããŠã€ã«ã¹ãšæŠãçœè¡çã®äžçš®ã§ãã奜äžçã®çæãä¿é²ããŸããäºéãäžè¶³ãããšãå
ç«åãäœäžããããšãç¥ãããŠããŸãã
4. **ãã¿ãã³ B矀**: ãã¿ãã³ B矀ã¯ãšãã«ã®ãŒä»£è¬ãšçްèã®åçã«é¢äžããå
šèº«ã®å¥åº·ãç¶æããããã«éèŠã§ããããã«ãB矀ã®ãã¿ãã³ã¯çްèåè£ãå©ããæ°ãã现èãçã¿åºãããšã§ãäœã®å埩ãä¿é²ããŸãã
ãããã®ãã¿ãã³ãããã©ã«ããã©ã³ã¹è¯ãæåããããšã§ã颚éªãã€ã³ãã«ãšã³ã¶ãªã©ã®ç
æ°ã«å¯Ÿããæµæåãé«ããããšãã§ããŸãããã ãããµããªã¡ã³ãã«é Œãåã«ããŸãã¯ãã©ã³ã¹ã®è¯ãé£äºãšååãªäŒæ¯ãå¿ãããããšãéèŠã§ãããŸããå
·äœçãªæ é€çŽ ã®æåéãçš®é¡ã«ã€ããŠã¯ãå»åž«ãæ é€å£«ã«çžè«ããåã
ã®ç¶æ³ã«åãããã¢ããã€ã¹ãåããããšããå§ãããŸãã |
$ \\ log_ {10} {17} $ã®å€ã¯ãé£ç¶ããæŽæ°$ a $ãš$ b $ã®éã«ãããŸãã$ a+b $ãèŠã€ããŸãã | null | Pythonã®æ°åŠã©ã€ãã©ãªã䜿çšããŠlog10ïŒ17ïŒãèšç®ãããã®å€©äºãšåºãèŠã€ããŠ$ a $ and $ b $ãèå¥ããŸãã<llm-code>
import math
a = int(math.floor(math.log10(17)))
b = int(math.ceil(math.log10(17)))
print(a + b)
</llm-code><llm-code-output>
3
</llm-code-output>
ãããã£ãŠã$ a+b $ã¯\\ boxed {3}ã§ã |
ãã®ãŒã¯åããŠããã圌女ã®ã¬ã³ãŒãã³ã¬ã¯ã·ã§ã³ãåãé€ãããšãæ¢ããŠããŸãããµããŒã¯ãããããã¹ãŠããããã4ãã«ã§è³Œå
¥ãããšèšããŸãããã©ã€ã¢ã³ã¯èšé²ã®ååã«ããèå³ããããŸãããã圌ãèå³ãæã£ãŠããååã«ãããã6ãã«ãæ®ãã®ååã«1ãã«ãæäŸãã圌ãåŸã§ããããå販売ã§ããããšãæåŸ
ããŠåœŒãèå³ãæã£ãŠããªãããšãæäŸããŸãããã®ãŒã200ã®èšé²ãæã£ãŠããå ŽåããµããŒãšãã©ã€ã¢ã³ã®ååŒã®å©çã®éãã¯äœã§ããïŒ | null | ãµããŒã®å©çã¯4ãã«ã®æéã§ãã圌ã賌å
¥ããèšé²ã®æ°ããã©ã€ã¢ã³ã®å©çã¯ã圌ã賌å
¥ããèšé²ã®æ°ãšæ®ãã®1ãã«ã®èšé²ã®æ°ã®6ãã«ã§ããäž¡æ¹ãèšç®ããŠãããéããåããŸãããã
Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
records_count = 200
sammy_dollar_each = 4
bryan_dollar_each = 6
records_for_bryan = records_count / 2
profit_sammy = sammy_dollar_each * records_count
profit_bryan = (bryan_dollar_each * records_for_bryan) + (1 * (records_count - records_for_bryan))
profit_sammy - profit_bryan
</llm-code><llm-code-output>
100.0
</llm-code-output>
ãããã£ãŠããã©ã€ã¢ã³ã®ååŒã¯\\ boxed {100}ãã«ã®åçæ§ãé«ããªããŸãã |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.