instruction
stringlengths 3
1.82k
| input
stringlengths 1
1.72k
â | chosen
stringlengths 0
6.81k
| rejected
stringlengths 1
3.68k
| prompt
stringlengths 71
1.89k
|
---|---|---|---|---|
221ã®æ倧ã®äž»èŠãªèŠå ã¯äœã§ããïŒ | null | Sympyã䜿çšããŠã221ã®äž»èŠãªèŠå ãå°å·ã§ããŸãã<llm-code>
from sympy import factorint
factorint(221)
</llm-code><llm-code-output>
{13ïŒ1ã17ïŒ1}
</llm-code-output>
ãããã£ãŠã221ã®æ倧ã®äž»èŠå åã¯\\ boxed {17}ã§ãã | 221ã®æ倧ã®äž»èŠãªèŠå ã¯ã1ãš221ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
221ã®æ倧ã®äž»èŠãªèŠå ã¯äœã§ããïŒ
### å¿ç
|
ãã®ã³ãŒãã«ã¯ãšã©ãŒããããŸããã©ãã«ãšã©ãŒãããããææããŠãæ£ããã³ãŒãã«çŽããŠãã ããã | ```python
def add(x, y):
return z + w
x = 2
y = 3
z = x + y
print(add(x, y))
``` | é¢æ°å
ã®add(x, y)ã¯å®çŸ©ãããŠããŸãããreturn z + wãreturn x + yã«å€æŽãããšããšã©ãŒãä¿®æ£ãããŸãã
```python
def add(x, y):
return x + y
x = 2
y = 3
z = x + y
print(add(x, y)) # Output: 5
``` | ```python
def add(x, y):
return x + y
x = 2
y = 3
z = add(x, y)
print(z)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã®ã³ãŒãã«ã¯ãšã©ãŒããããŸããã©ãã«ãšã©ãŒãããããææããŠãæ£ããã³ãŒãã«çŽããŠãã ããã
### å
¥å
```python
def add(x, y):
return z + w
x = 2
y = 3
z = x + y
print(add(x, y))
```
### å¿ç
|
ãªã©ãã¯ã¹ããŠç ãæ¹æ³ã«ã€ããŠæã㊠| null | ãªã©ãã¯ã¹ããŠç ãæ¹æ³ã¯ã人ããããç°ãªããŸããã以äžã«ããã€ãã®äžè¬çãªæ¹æ³ã玹ä»ããŸãïŒ
æ·±åŒåžïŒãªã©ãã¯ã¹ããäžã€ã®æ¹æ³ãšããŠãæ·±åŒåžãè¡ãããšãæããããŸãã錻ãããã£ãããšæ¯ãåžã蟌ã¿ãå£ãããã£ãããšåãåºãããããç¹°ãè¿ãããšã§ãå¿èº«ãšãã«ãªã©ãã¯ã¹å¹æããããŸãã
ã¢ãããã©ããŒïŒå¥œã¿ã®éŠãã®ãšãã»ã³ã¹ã䜿ã£ãŠéšå±ãæºããããšã§ãç ããèªãããšãã§ããŸããã©ãã³ããŒãã«ã¢ããŒã«ãªã©ã®éŠãããªã©ãã¯ã¹å¹æããããšèšãããŠããŸãã
質ã®è¯ãç¡ç ã®ããã®ç°å¢ã¥ããïŒå¯å®€ãå¿«é©ãªæž©åºŠãšæ¹¿åºŠã«ä¿ã¡ãå¿å°ããããããšæã§å¯ãããšã倧åã§ãããŸããå€éšã®å
ãé³ãé®æããããã«ã«ãŒãã³ãã€ã€ãã³ã䜿çšããã®ãè¯ãæ¹æ³ã§ãã
å°±å¯åã®ã«ãŒãã£ã³ïŒå®æçãªã«ãŒãã£ã³ãäœãããšã§ãäœãšå¿ãåŸã
ã«äŒæ¯ã¢ãŒãã«å°ãããšãã§ããŸããèªæžãããããšã¬ããããæž©ãããã«ã¯ã飲ããªã©ãèªåããªã©ãã¯ã¹ã§ããããšãè¡ããŸãããã
ã¡ãã£ããŒã·ã§ã³ïŒçæ³ã¯ãã¹ãã¬ã¹ã軜æžããå¿ãèœã¡çãããå¹æããããŸããæ°åééãã«åº§ããèªåã®åŒåžã«éäžããããããžãã£ããªæèãã€ã¡ãŒãžããããšã§ããªã©ãã¯ã¹å¹æãåŸãããŸãã
ãªã©ãã¯ã¹ããæ¹æ³ã¯äººã«ãã£ãŠç°ãªããããèªåèªèº«ãäžçªãªã©ãã¯ã¹ã§ããæ¹æ³ãèŠã€ããããšã倧åã§ãã | ãªã©ãã¯ã¹ããŠç ãæ¹æ³ã«ã€ããŠã¯ã以äžã®ã¹ããããåèã«ããŠãã ããã
1. **æ·±åŒåž**: ãã£ãããšæ·±åŒåžãããããšã§ããªã©ãã¯ã¹å¹æãåŸãããŸãã
2. **ã¹ãã¬ãã**: äœããªã©ãã¯ã¹ãããããã«ãã¹ãã¬ãããè¡ã£ãŠãã ããã
3. **ã¢ãããã©ããŒ**: ã¢ãããã©ããŒã¯ããªã©ãã¯ã¹å¹æãé«ãã§ãã
4. **çæ³**: çæ³ã¯ãå¿ãèœã¡çãããå¹æããããŸãã
5. **é³æ¥œãèŽã**: ãªã©ãã¯ã¹ã§ããé³æ¥œãèŽãããšã§ãå¿ãèœã¡çãããããšãã§ããŸãã
6. **ã¢ãããã£ã³ãã«**: ã¢ãããã£ã³ãã«ã¯ãå¿ãèœã¡çãããå¹æããããŸãã
7. **æž©ãã飲ã¿ç©ã飲ã**: æž©ãã飲ã¿ç©ã飲ãããšã§ãäœãæž©ããããšãã§ããŸãã
8. **éããªç°å¢**: éããªç°å¢ã¯ãå¿ãèœã¡çãããå¹æããããŸãã
9. **ç¡ç ç°å¢ãæŽãã**: ç¡ç ç°å¢ãæŽããããšã§ãç ãã«ã€ãããããªããŸãã
10. **ååãªç¡ç **: ååãªç¡ç ã¯ãå¿èº«ã®å¥åº·ã«æ¬ ãããŸããã
ãããã®æ¹æ³ãè©ŠããŠããªã©ãã¯ã¹ããŠç ãæ¹æ³ãèŠã€ããŠãã ããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãªã©ãã¯ã¹ããŠç ãæ¹æ³ã«ã€ããŠæããŠ
### å¿ç
|
åšæ¥åªéæ¿çã®äžèŠ§ãåºããŠã»ãã | null | äžè¬çãªãåšæ¥åªéæ¿çãã«ã€ããŠã¯å
¬è¡šæ
å ±ã確èªã§ããŸããã®ã§ãæ®å¿µãªãããèŠæã«ãå¿ãããããšã¯ã§ããŸããããã ããé«åºŠå€åœäººæã«å¯ŸããŠã¯ãåºå
¥åœç®¡çäžã®åªéå¶åºŠããããŸããé«åºŠäººæã«èªå®ãããå€åœäººã¯ã次ã®åªéæªçœ®ãèªããããŸãã1.è€åçãªåšç掻åã®èš±å®¹ã2.åšçæé5幎ã®ä»äžã3.åšçæŽã«ä¿ãæ°žäœèš±å¯ã®èŠä»¶ã®ç·©åã4.é
å¶è
ã®å°±åŽã5.äžå®ã®æ¡ä»¶äžã§ã®èŠªã»å®¶äºäœ¿çšäººã®åž¯åã®èš±å®¹ã詳ããã¯æ³åçåºå
¥åœåšç管çåºã®Webãµã€ããã芧ãã ããããåèã«ãªãã°å¹žãã§ãã | åšæ¥åªéæ¿çã®äžèŠ§ã¯ä»¥äžã®éãã§ãã
1. ç¹å¥æ°žäœæš©ã®ä»äž: æ¥æ¬ã«æ°žäœããå€åœäººã«äžããããæš©å©ã§ãæ°žäœæš©ãšãåŒã°ããŸãã
2. æ°žäœèš±å¯ã®ååŸ: æ¥æ¬ã«æ°žäœããå€åœäººããæ°žäœæš©ãååŸããããã®æç¶ãã§ãã
3. åœæ°å¥åº·ä¿éºã®é©çš: æ¥æ¬ã«æ°žäœããå€åœäººããåœæ°å¥åº·ä¿éºã«å å
¥ããããã®æç¶ãã§ãã
4. äœæ°çšã®é課çš: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãé課çšã«ããããã®æç¶ãã§ãã
5. æåŸçšã®é課çš: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãé課çšã«ããããã®æç¶ãã§ãã
6. äœæ°çšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãæžå
ããããã®æç¶ãã§ãã
7. æåŸçšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãæžå
ããããã®æç¶ãã§ãã
8. äœæ°çšã®å
é€: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãå
é€ããããã®æç¶ãã§ãã
9. æåŸçšã®å
é€: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãå
é€ããããã®æç¶ãã§ãã
10. äœæ°çšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãæžå
ããããã®æç¶ãã§ãã
11. æåŸçšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãæžå
ããããã®æç¶ãã§ãã
12. äœæ°çšã®å
é€: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãå
é€ããããã®æç¶ãã§ãã
13. æåŸçšã®å
é€: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãå
é€ããããã®æç¶ãã§ãã
14. äœæ°çšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãæžå
ããããã®æç¶ãã§ãã
15. æåŸçšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãæžå
ããããã®æç¶ãã§ãã
16. äœæ°çšã®å
é€: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãå
é€ããããã®æç¶ãã§ãã
17. æåŸçšã®å
é€: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãå
é€ããããã®æç¶ãã§ãã
18. äœæ°çšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããäœæ°çšãæžå
ããããã®æç¶ãã§ãã
19. æåŸçšã®æžå
: æ¥æ¬ã«æ°žäœããå€åœäººããæåŸçšãæžå
ããããã®æç¶ãã§ãã
20. äœæ°çšã® | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
åšæ¥åªéæ¿çã®äžèŠ§ãåºããŠã»ãã
### å¿ç
|
ãŽãŒã«ãã³ã¬ããªããŒã®å¹³å寿åœã¯ïŒ | ãŽãŒã«ãã³ã¬ããªããŒã¯äžè¬çã«å¥åº·ãªç¬çš®ã§ãå¹³å寿åœã¯12ïœ13æ³ã§ãã人æ°ç¬çš®æ
ã®ä¹±ç¹æ®ã«ãããè¡é¢ç¯åœ¢æäžå
šåã³ãŠããããšãã£ãéºäŒæ§çŸæ£ãæ£ã£ãåäœã䞊ã³ã«æ¬æ¥ã®ç©åãªæ§æ Œã倧ããæããåäœãåºãå Žåãããããããã®åé¡ã¯ã責任ããããªãŒããŒã飌è²ããç¬ã§ã¯ã»ãšãã©çºçããŸããã | ãŽãŒã«ãã³ã¬ããªããŒã®å¹³å寿åœã¯12ïœ13æ³ã§ãã | ãŽãŒã«ãã³ã¬ããªããŒã®å¹³å寿åœã¯12ïœ13æ³ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãŽãŒã«ãã³ã¬ããªããŒã®å¹³å寿åœã¯ïŒ
### å
¥å
ãŽãŒã«ãã³ã¬ããªããŒã¯äžè¬çã«å¥åº·ãªç¬çš®ã§ãå¹³å寿åœã¯12ïœ13æ³ã§ãã人æ°ç¬çš®æ
ã®ä¹±ç¹æ®ã«ãããè¡é¢ç¯åœ¢æäžå
šåã³ãŠããããšãã£ãéºäŒæ§çŸæ£ãæ£ã£ãåäœã䞊ã³ã«æ¬æ¥ã®ç©åãªæ§æ Œã倧ããæããåäœãåºãå Žåãããããããã®åé¡ã¯ã責任ããããªãŒããŒã飌è²ããç¬ã§ã¯ã»ãšãã©çºçããŸããã
### å¿ç
|
次ã®ç»åãã¡ã€ã«ãèªã¿åã£ãŠãpythonã³ãŒããæžããªããããã®ã³ãŒãã§ã¯ãç»åãã°ã¬ãŒã¹ã±ãŒã«ã«å€æãããã¹ãã°ã©ã ãåºåããããšãã§ããŸãã | null | ```python
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
img = Image.open("image.jpg").convert("L")
img_arr = np.array(img)
hist = np.histogram(img_arr.ravel(), bins=256, range=(0, 256))[0]
plt.plot(hist)
plt.show()
``` | ```python
from PIL import Image
import numpy as np
def convert_to_grayscale(image_path):
image = Image.open(image_path).convert('L')
image = np.array(image)
image = np.mean(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
return image
def plot_histogram(image_path):
image = convert_to_grayscale(image_path)
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape[0], image.shape[1]))
image = np.sum(image, axis=(0, 1))
image = np.reshape(image, (image.shape | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®ç»åãã¡ã€ã«ãèªã¿åã£ãŠãpythonã³ãŒããæžããªããããã®ã³ãŒãã§ã¯ãç»åãã°ã¬ãŒã¹ã±ãŒã«ã«å€æãããã¹ãã°ã©ã ãåºåããããšãã§ããŸãã
### å¿ç
|
2人ã®å°å¹Žã2ã€ã®ããŒã«ã§éãã§ããŸãã1ã€ã®ããŒã«ã¯ç·è²ã§ããã1ã€ã®ããŒã«ãéè²ã§ãã1人ã®å°å¹Žã¯è²ç²ã§ããããªãã¯æ£åžžãªèŠåãæã£ãŠããŸããããŒã«ã¯äœè²ã§ãã? | null | 1ã€ã¯ç·è²ã§ããã1ã€ã¯éè²ã§ãã | ããŒã«ã¯ç·è²ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
2人ã®å°å¹Žã2ã€ã®ããŒã«ã§éãã§ããŸãã1ã€ã®ããŒã«ã¯ç·è²ã§ããã1ã€ã®ããŒã«ãéè²ã§ãã1人ã®å°å¹Žã¯è²ç²ã§ããããªãã¯æ£åžžãªèŠåãæã£ãŠããŸããããŒã«ã¯äœè²ã§ãã?
### å¿ç
|
äžããããæç« ã®äžãããã¥ãŒã¹èšäºã®èŠçŽãæžãããšãã§ããŸããïŒ | ãã·ã¢ã¯ä»®æ³é貚ã®ååŒãèªãããšçºè¡šããŸããããããŸã§ãã·ã¢ã§ã¯ä»®æ³é貚ã®ååŒã¯çŠæ¢ãããŠããŸãããããã®å€æŽã«ãããæ³çãªä»®æ³é貚ã®ååŒãå¯èœã«ãªããŸãããã ããä»®æ³é貚ãæ³çãªè²šå¹£ãšããŠäœ¿çšããããšã¯çŠæ¢ãããŠããŸãã | ãã·ã¢æ¿åºã¯ä»®æ³é貚ã®ååŒãèªãããšçºè¡šããŸããããããŸã§ãã·ã¢ã§ã¯ä»®æ³é貚ã®ååŒã¯çŠæ¢ãããŠããŸãããããã®å€æŽã«ãããæ³çãªä»®èé貚ã®ååŒãå¯èœã«ãªããŸãããã ããä»®æ³é貚ãæ³çãªè²šå¹£ãšããŠäœ¿çšããããšã¯åŒãç¶ãçŠæ¢ãããŠããŸãã | ã¯ã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããæç« ã®äžãããã¥ãŒã¹èšäºã®èŠçŽãæžãããšãã§ããŸããïŒ
### å
¥å
ãã·ã¢ã¯ä»®æ³é貚ã®ååŒãèªãããšçºè¡šããŸããããããŸã§ãã·ã¢ã§ã¯ä»®æ³é貚ã®ååŒã¯çŠæ¢ãããŠããŸãããããã®å€æŽã«ãããæ³çãªä»®æ³é貚ã®ååŒãå¯èœã«ãªããŸãããã ããä»®æ³é貚ãæ³çãªè²šå¹£ãšããŠäœ¿çšããããšã¯çŠæ¢ãããŠããŸãã
### å¿ç
|
ãªãã¯ã¯1æéã§4ã€ã®ãã¬ã¹ã·ã£ããã¢ã€ãã³ããããããšãã§ããŸãã圌ã¯1æéã§3ãã¬ã¹ãã³ããã¢ã€ãã³ããããããšãã§ããŸãã圌ã3æéã®ã¢ã€ãã³ãã¬ã¹ã·ã£ããš5æéã®ã¢ã€ãã³ãããããã¬ã¹ãã³ããè²»ãããŠããå Žåã圌ã¯ã¢ã€ãã³ããããŸãããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
ironed_shirts_per_hour = 4
ironed_pants_per_hour = 3
time_spent_ironing_shirts = 3
time_spent_ironing_pants = 5
ironed_shirts = ironed_shirts_per_hour * time_spent_ironing_shirts
ironed_pants = ironed_pants_per_hour * time_spent_ironing_pants
ironed_shirts + ironed_pants
</llm-code><llm-code-output>
27
</llm-code-output>
ãããã£ãŠããªãã¯ã¢ã€ã¢ã³ã\\Boxed{27}è¡£é¡ã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
shirts_per_hour = 4
pants_per_hour = 3
shirts_per_hour_per_hour = shirts_per_hour * 3
pants_per_hour_per_hour = pants_per_hour * 5
total_hours = 3 + 5
total_shirts = shirts_per_hour_per_hour * total_hours
total_pants = pants_per_hour_per_hour * total_hours
total_shirts + total_pants
</llm-code><llm-code-output>
120
</llm-code-output>
ãããã£ãŠããªãã¯ã¯\\ boxed {120}ãã¬ã¹ã·ã£ããšãã³ããã¢ã€ãã³ããããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãªãã¯ã¯1æéã§4ã€ã®ãã¬ã¹ã·ã£ããã¢ã€ãã³ããããããšãã§ããŸãã圌ã¯1æéã§3ãã¬ã¹ãã³ããã¢ã€ãã³ããããããšãã§ããŸãã圌ã3æéã®ã¢ã€ãã³ãã¬ã¹ã·ã£ããš5æéã®ã¢ã€ãã³ãããããã¬ã¹ãã³ããè²»ãããŠããå Žåã圌ã¯ã¢ã€ãã³ããããŸãããïŒ
### å¿ç
|
次ã®Tuplesã䜿ã£ãŠãé¢æ°ãçæããåèšãèšç®ããæ¹æ³ã説æããŸãã | Tuples: (1, 2, 3, 4, 5), (6, 7, 8, 9, 10) | ```python
def calculate_total(tuples):
total = 0
for t in tuples:
total += sum(t)
return total
tuples = [(1, 2, 3, 4, 5), (6, 7, 8, 9, 10)]
total = calculate_total(tuples)
print(total)
``` | ```python
def sum_tuples(tuples):
return sum(tuples)
print(sum_tuples((1, 2, 3, 4, 5), (6, 7, 8, 9, 10)))
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®Tuplesã䜿ã£ãŠãé¢æ°ãçæããåèšãèšç®ããæ¹æ³ã説æããŸãã
### å
¥å
Tuples: (1, 2, 3, 4, 5), (6, 7, 8, 9, 10)
### å¿ç
|
第äºå
±åå¶æ代ã®ãã©ã³ã¹äººå€§çµ±é ã®ãªã¹ããæããŠãã ããã | null | 第äºå
±åå¶æ代ã®ãã©ã³ã¹äººå€§çµ±é ã®ãªã¹ãã¯ä»¥äžã®éãã§ã:
1. ã·ã£ã«ã«ã»ãã»ãŽãŒã« (1959幎 - 1969幎)
2. ã¢ã©ã³ã»ãã«ã¿ãŒã« (1969幎 - 1974幎)
3. ãŽã¡ã¬ãªãŒã»ãžã¹ã«ãŒã«ã»ãã¹ã¿ã³ (1974幎 - 1979幎)
4. ãžã£ãã¯ã»ã·ã©ã¯ (1979幎 - 1981幎)
5. ãã©ã³ãœã¯ã»ãããã©ã³ (1981幎 - 1988幎)
6. ãžã£ãã¯ã»ã·ã©ã¯ (1986幎 - 1995幎)
7. ãžã£ãã¯ã»ã·ã©ã¯ (1995幎 - 2002幎)
8. ãžã£ãã¯ã»ã·ã©ã¯ (2002幎 - 2007幎)
9. ãã³ã©ã»ãµã«ã³ãž (2007幎 - 2012幎)
10. ãã©ã³ãœã¯ã»ãªã©ã³ã (2012幎 - 2017幎)
11. ãšããã¥ãšã«ã»ãã¯ãã³ (2017幎 - çŸè·)
ãã®ãªã¹ãã¯ã1959幎ããçŸåšãŸã§ã®ç¬¬äºå
±åå¶äžã§ã®ãã©ã³ã¹ã®å€§çµ±é ã®äžèŠ§ã§ããå倧統é ã®ä»»æã¯ãããããã®é
ç®ã®å¹Žæ°ãšæéã§ç€ºãããŠããŸãã | 第äºå
±åå¶æ代ã®ãã©ã³ã¹äººå€§çµ±é ã®ãªã¹ãã¯ä»¥äžã®éãã§ãã
1. ã·ã£ã«ã«ã»ãã»ãŽãŒã« (1959幎 - 1969幎)
2. ãžã§ã«ãžã¥ã»ãã³ããã¥ãŒ (1969幎 - 1974幎)
3. ãŽã¡ã¬ãªãŒã»ãžã¹ã«ãŒã«ã»ãã¹ã¿ã³ (1974幎 - 1981幎)
4. ãã©ã³ãœã¯ã»ãããã©ã³ (1981幎 - 1995幎)
5. ãžã£ãã¯ã»ã·ã©ã¯ (1995幎 - 2007幎)
6. ãã³ã©ã»ãµã«ã³ãž (2007幎 - 2012幎)
7. ãã©ã³ãœã¯ã»ãªã©ã³ã (2012幎 - 2017幎)
8. ãšããã¥ãšã«ã»ãã¯ãã³ (2017幎 - çŸåš) | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
第äºå
±åå¶æ代ã®ãã©ã³ã¹äººå€§çµ±é ã®ãªã¹ããæããŠãã ããã
### å¿ç
|
ã¢ã¹ãã«ã¬ãŒçå矀ã«é¢ãããããã®æ®µèœãèžãŸããŠããã®äººã®æ¥åžžç掻ã«ãããæ©èœãåäžãããã®ã«åœ¹ç«ã€å
žåçãªä»å
¥æ¹æ³ãšã¯äœã§ããããã | ã¢ã¹ãã«ã¬ãŒçå矀ïŒASïŒã¯ãã¢ã¹ãã«ã¬ãŒãšãåŒã°ãã瀟äŒççžäºäœçšãéèšèªçã³ãã¥ãã±ãŒã·ã§ã³ã«èããå°é£ããããè¡åãèå³ã®ãã¿ãŒã³ãå¶éããå埩ãããããšãç¹åŸŽãšããç¥çµçºéçã§ããããã®çå矀ã¯ãä»ã®çŸæ£ãšçµ±åãããŠèªéçã¹ãã¯ãã©ã é害ïŒASDïŒãšãªããããèªäœã蚺æåãšããŠèªèãããããšã¯ãªããªããŸãããASDã«çµ±åãããä»ã®èšºæåãšã¯ã話ãèšèãç¥èœãæ¯èŒçæãªãããŠããªãç¹ã§ç°ãªããšèããããŠããŸãã
æ¬çå矀ã¯ããªãŒã¹ããªã¢ã®å°å
ç§å»ãã³ã¹ã»ã¢ã¹ãã«ã¬ãŒã1944幎ã«ãèªåã®æ
åœããåã©ããã¡ããå人é¢ä¿ãç¯ãã®ã«èŠåŽããä»äººã®èº«æ¯ããææ
ãç解ãããèªåã®å¥œããªè¶£å³ã«ã€ããŠäžæ¹çã«äŒè©±ãããäžåšçšã§ãããšè¿°ã¹ãããšããåä»ããããã1994幎ãã¢ã¡ãªã«ã®ã粟ç¥é害ã®èšºæãšçµ±èšããã¥ã¢ã«ã第4çïŒDSM-IVïŒã«ã¢ã¹ãã«ã¬ãŒã®èšºæåãèšèŒãããŸãããã2013幎ã®DSM-5ã®çºè¡ã«ããæ¬çãåé€ãããçŸåšã¯å€å
žçèªéçãä»ã«ç¹å®ãããªãåºæ±æ§çºéé害ïŒPDD-NOSïŒãšãšãã«èªéçã¹ãã¯ãã©ã é害ã«å«ãŸããçç¶ã§ãã2021幎æç¹ã®åœéçŸç
åé¡ïŒICD-11ïŒã§ãåæ§ã«èªéçã¹ãã¯ãã©ã é害ã«çµ±åãããã
ã¢ã¹ãã«ã¬ãŒã®æ£ç¢ºãªåå ã¯ããåãã£ãŠããŸãããéºäŒçãé«ããšã¯ããããã®æ ¹åºã«ããéºäŒã¯æ±ºå®çãªãã®ã§ã¯ãããŸããããŸããç°å¢èŠå ãé¢äžããŠãããšèããããŠããŸããè³ç»å蚺æã§ã¯ãå
±éã®åºç€çŸæ£ã¯ç¹å®ãããŠããŸããããŸããè±åœã®åœæ°ä¿å¥ãµãŒãã¹ïŒNHSïŒã®ã¬ã€ãã©ã€ã³ã§ã¯ãèªéçã¯ãåãé€ãããæ²»ãããã§ããç
æ°ãã§ã¯ãªãããããããªã圢æ
ã®èªéçã§ãã£ãŠããæ²»çããç®æšã«ãã¹ãã§ã¯ãªããšããŠããŸããçç«ç²Ÿç¥ç§å»åäŒã«ãããšã䜵çºããçŸæ£ã¯æ²»çãå¿
èŠãããããªããããèªéçèªäœã®ç®¡çã¯ãæ¥åžžç掻ã§æ©èœããèœåãåäžãããããã«å¿
èŠãªæè²ãèšç·Žã瀟äŒçæ¯æŽãã±ã¢ãæäŸããããšãäž»ãªç®çãã ãšãããèªéçã«å¯Ÿããç¹å®ã®ä»å
¥ã®æå¹æ§ã¯ãéãããããŒã¿ã«ãã£ãŠã®ã¿è£ä»ããããŠãããä»å
¥ã«ã¯ããœãŒã·ã£ã«ã¹ãã«ãã¬ãŒãã³ã°ãèªç¥è¡åçæ³ãçåŠçæ³ãèšèªçæ³ããã¢ã¬ã³ããã¬ãŒãã³ã°ãæ°åãäžå®ãªã©é¢é£ããåé¡ã«å¯Ÿããè¬ç©çæ³ãå«ãŸããããšããããŸããèªéçã®ç¹åŸŽã¯ãæ人æã«ã¯ç®ç«ããªããªãåŸåããããã瀟äŒæ§ãã³ãã¥ãã±ãŒã·ã§ã³ã®å°é£ãã¯éåžžæç¶ããã
https://en.wikipedia.org/wiki/Asperger_syndrome | ã¢ã¹ãã«ã¬ãŒçå矀ã®äººã®æ¥åžžç掻ã«ãããæ©èœãåäžãããã®ã«åœ¹ç«ã€å
žåçãªä»å
¥æ¹æ³ã¯ä»¥äžã®éãã§ãã
1. ãœãŒã·ã£ã«ã¹ãã«èšç·Ž: ä»äººãšã®é¢ããæ¹ãã³ãã¥ãã±ãŒã·ã§ã³ã®åãæ¹ãåŠã³ã察人ã¹ãã«ãåäžãããèšç·Žã§ãã
2. èªç¥è¡åçæ³: èªç¥ã®æªã¿ã誀解ãä¿®æ£ããé©åãªå¯ŸåŠæ³ã身ã«ã€ããããšã§ãã¹ãã¬ã¹ãäžå®ã軜æžããæ²»çæ³ã§ãã
3. çåŠçæ³: 身äœæ©èœã®æ¹åãç¶æãç®çãšããéåçæ³ã§ãäœåãå調æ§ããã©ã³ã¹èœåãªã©ãéããŸãã
4. èšèªçæ³: èšèªãèšèªè¡šçŸã®é害ãæã€äººã«å¯ŸããŠè¡ãããèšç·Žã§ãèšèªèœåãã³ãã¥ãã±ãŒã·ã§ã³èœåãåäžãããŸãã
5. ä¿è·è
èšç·Ž: ä¿è·è
ãåã©ãã®ç¹æ§ãç解ããé©åãªæ¯æŽãè¡ãããã®èšç·Žã§ãã
6. æ°åãäžå®ãªã©é¢é£ããåé¡ã«å¯Ÿããè¬ç©çæ³: ãã€ç
ãäžå®é害ãªã©ã®çç¶ã«å¯ŸããŠãè¬ç©æ²»çãè¡ãããšããããŸãã
ãããã®ä»å
¥æ¹æ³ã¯ãããããã®äººã«åãããããã°ã©ã ãäœæããç¶ç¶çã«å®æœããããšã§ãæ¥åžžç掻ã®æ©èœãåäžãããããšãã§ããŸãã | ã¢ã¹ãã«ã¬ãŒçå矀ã®äººã®æ¥åžžç掻ã«ãããæ©èœãåäžãããã®ã«åœ¹ç«ã€å
žåçãªä»å
¥æ¹æ³ã«ã¯ã以äžã®ãããªãã®ããããŸãã
1. **ãœãŒã·ã£ã«ã¹ãã«ãã¬ãŒãã³ã°**: ã¢ã¹ãã«ã¬ãŒçå矀ã®äººã¯ãä»äººãšã®ã³ãã¥ãã±ãŒã·ã§ã³ã瀟äŒçãªç¶æ³ã§ã®æ¯ãèãã«åé¡ãæ±ããããšããããŸãããã®ããããœãŒã·ã£ã«ã¹ãã«ãã¬ãŒãã³ã°ãéããŠãä»äººãšã®é©åãªã³ãã¥ãã±ãŒã·ã§ã³æ¹æ³ãã瀟äŒçãªç¶æ³ã§ã®é©åãªæ¯ãèãæ¹ãåŠã¶ããšãéèŠã§ãã
2. **èªç¥è¡åçæ³**: ã¢ã¹ãã«ã¬ãŒçå矀ã®äººã¯ãèªåã®è¡åãæèãã¿ãŒã³ãä»äººãšã¯ç°ãªãããšã«æ°ã¥ãã«ããããšããããŸãããã®ãããèªç¥è¡åçæ³ãéããŠãèªåã®è¡åãæèãã¿ãŒã³ãç解ããé©åãªå¯ŸåŠæ¹æ³ãåŠã¶ããšãéèŠã§ãã
3. **çåŠçæ³**: ã¢ã¹ãã«ã¬ãŒçå矀ã®äººã¯ã身äœçãªåé¡ãæ±ããŠããããšããããŸãããã®ãããçåŠçæ³ãéããŠã身äœçãªåé¡ã«å¯Ÿãã察åŠæ³ãåŠã¶ããšãéèŠã§ãã
4. **èšèªçæ³**: ã¢ã¹ãã«ã¬ãŒçå矀ã®äººã¯ãèšèªçãªåé¡ãæ±ããŠããããšããããŸãããã®ãããèšèªçæ³ãéããŠãèšèªçãªåé¡ã«å¯Ÿãã察åŠæ³ãåŠã¶ããšãéèŠã§ãã
5. **è¬ç©çæ³**: ã¢ã¹ãã«ã¬ãŒçå矀ã®äººã¯ãæ°åãäžå®ãªã©ã®åé¡ãæ±ããŠããããšããããŸãããã®ãããè¬ç©çæ³ãéããŠããããã®åé¡ã«å¯Ÿãã察åŠæ³ãåŠã¶ããšãéèŠã§ãã
ãããã®ä»å
¥æ¹æ³ã¯ãã¢ã¹ãã«ã¬ãŒçå矀ã®äººã®æ¥åžžç掻ã«ãããæ©èœãåäžãããã®ã«åœ¹ç«ã€ããšãæåŸ
ãããŸãããã ãããããã®ä»å
¥æ¹æ³ã¯ãåã
ã®ç¶æ³ã«ããç°ãªããããå
·äœçãªæ²»çæ¹éã¯å»åž«ãå°é家ãšçžè«ã®äžæ±ºå®ããããšãéèŠã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã¢ã¹ãã«ã¬ãŒçå矀ã«é¢ãããããã®æ®µèœãèžãŸããŠããã®äººã®æ¥åžžç掻ã«ãããæ©èœãåäžãããã®ã«åœ¹ç«ã€å
žåçãªä»å
¥æ¹æ³ãšã¯äœã§ããããã
### å
¥å
ã¢ã¹ãã«ã¬ãŒçå矀ïŒASïŒã¯ãã¢ã¹ãã«ã¬ãŒãšãåŒã°ãã瀟äŒççžäºäœçšãéèšèªçã³ãã¥ãã±ãŒã·ã§ã³ã«èããå°é£ããããè¡åãèå³ã®ãã¿ãŒã³ãå¶éããå埩ãããããšãç¹åŸŽãšããç¥çµçºéçã§ããããã®çå矀ã¯ãä»ã®çŸæ£ãšçµ±åãããŠèªéçã¹ãã¯ãã©ã é害ïŒASDïŒãšãªããããèªäœã蚺æåãšããŠèªèãããããšã¯ãªããªããŸãããASDã«çµ±åãããä»ã®èšºæåãšã¯ã話ãèšèãç¥èœãæ¯èŒçæãªãããŠããªãç¹ã§ç°ãªããšèããããŠããŸãã
æ¬çå矀ã¯ããªãŒã¹ããªã¢ã®å°å
ç§å»ãã³ã¹ã»ã¢ã¹ãã«ã¬ãŒã1944幎ã«ãèªåã®æ
åœããåã©ããã¡ããå人é¢ä¿ãç¯ãã®ã«èŠåŽããä»äººã®èº«æ¯ããææ
ãç解ãããèªåã®å¥œããªè¶£å³ã«ã€ããŠäžæ¹çã«äŒè©±ãããäžåšçšã§ãããšè¿°ã¹ãããšããåä»ããããã1994幎ãã¢ã¡ãªã«ã®ã粟ç¥é害ã®èšºæãšçµ±èšããã¥ã¢ã«ã第4çïŒDSM-IVïŒã«ã¢ã¹ãã«ã¬ãŒã®èšºæåãèšèŒãããŸãããã2013幎ã®DSM-5ã®çºè¡ã«ããæ¬çãåé€ãããçŸåšã¯å€å
žçèªéçãä»ã«ç¹å®ãããªãåºæ±æ§çºéé害ïŒPDD-NOSïŒãšãšãã«èªéçã¹ãã¯ãã©ã é害ã«å«ãŸããçç¶ã§ãã2021幎æç¹ã®åœéçŸç
åé¡ïŒICD-11ïŒã§ãåæ§ã«èªéçã¹ãã¯ãã©ã é害ã«çµ±åãããã
ã¢ã¹ãã«ã¬ãŒã®æ£ç¢ºãªåå ã¯ããåãã£ãŠããŸãããéºäŒçãé«ããšã¯ããããã®æ ¹åºã«ããéºäŒã¯æ±ºå®çãªãã®ã§ã¯ãããŸããããŸããç°å¢èŠå ãé¢äžããŠãããšèããããŠããŸããè³ç»å蚺æã§ã¯ãå
±éã®åºç€çŸæ£ã¯ç¹å®ãããŠããŸããããŸããè±åœã®åœæ°ä¿å¥ãµãŒãã¹ïŒNHSïŒã®ã¬ã€ãã©ã€ã³ã§ã¯ãèªéçã¯ãåãé€ãããæ²»ãããã§ããç
æ°ãã§ã¯ãªãããããããªã圢æ
ã®èªéçã§ãã£ãŠããæ²»çããç®æšã«ãã¹ãã§ã¯ãªããšããŠããŸããçç«ç²Ÿç¥ç§å»åäŒã«ãããšã䜵çºããçŸæ£ã¯æ²»çãå¿
èŠãããããªããããèªéçèªäœã®ç®¡çã¯ãæ¥åžžç掻ã§æ©èœããèœåãåäžãããããã«å¿
èŠãªæè²ãèšç·Žã瀟äŒçæ¯æŽãã±ã¢ãæäŸããããšãäž»ãªç®çãã ãšãããèªéçã«å¯Ÿããç¹å®ã®ä»å
¥ã®æå¹æ§ã¯ãéãããããŒã¿ã«ãã£ãŠã®ã¿è£ä»ããããŠãããä»å
¥ã«ã¯ããœãŒã·ã£ã«ã¹ãã«ãã¬ãŒãã³ã°ãèªç¥è¡åçæ³ãçåŠçæ³ãèšèªçæ³ããã¢ã¬ã³ããã¬ãŒãã³ã°ãæ°åãäžå®ãªã©é¢é£ããåé¡ã«å¯Ÿããè¬ç©çæ³ãå«ãŸããããšããããŸããèªéçã®ç¹åŸŽã¯ãæ人æã«ã¯ç®ç«ããªããªãåŸåããããã瀟äŒæ§ãã³ãã¥ãã±ãŒã·ã§ã³ã®å°é£ãã¯éåžžæç¶ããã
https://en.wikipedia.org/wiki/Asperger_syndrome
### å¿ç
|
ãã¥ãŒã¯å€§åŠãµã³ãã©ãŒãå
Œ
±æ¿ç倧åŠé¢ã¯èª°ã®ååã«ã¡ãªãã§åœåãããã®ãïŒ | ãã¥ãŒã¯å€§åŠãµã³ãã©ãŒãå
Œ
±æ¿ç倧åŠé¢ã¯ãå
ãã¥ãŒã¯å€§åŠåŠé·ã§ããŒã¹ã«ãã©ã€ãå·ç¥äºã®ããªãŒã»ãµã³ãã©ãŒãã«ã¡ãªãã§åã¥ããããŸããããµã³ãã©ãŒãã¯1971幎ãå°æ¥ã®ãªãŒããŒè²æãç®çãšããåŠéçããã°ã©ã ãšããŠãå倧åŠã®æ¿çç§åŠã»å
Œ
±åé¡ç 究æãèšç«ããŸããã1994幎ããã¥ãŒã¯å€§åŠã®ãŠã§ã¹ããã£ã³ãã¹ã«çŸåšã®æ ¡èããªãŒãã³ããéããã®æ ¡èã¯ãµã³ãã©ãŒãã«ã¡ãªãã§åœåãããç 究æãæ¹åãããŸããããã®å»ºç©ã¯ãã¢ãŒããã¯ãã¥ã¢ã«ã»ãªãœãŒã¹ã»ã±ã³ããªããžç€Ÿãã¢ãã³ãŽã·ãã¯æ§åŒã§èšèšãããã®ã§ãããµã³ãã©ãŒãã»ã¹ã¯ãŒã«ã¯ãå
Œ
±æ¿çã®åŠå£«èª²çšã修士課çšãå士課çšãæäŸããŠããŸãã2005幎8æã«ã¯ãäž»èŠãªæ¯æŽè
ã§ãããã€ãããã»ã«ãŒãã³ã¹ã¿ã€ã³ã®åãå ãã2æ£ç®ã®æ ¡èããªãŒãã³ããŸããããã®å»ºç©ã«ã¯ããã¥ãŒã¯ã»ã»ã³ã¿ãŒã»ãã©ãŒã»ãã£ã€ã«ãïŒãã¡ããªãŒã»ããªã·ãŒããã¥ãŒã¯ã»ã»ã³ã¿ãŒã»ãã©ãŒã»ã€ã³ã¿ãŒãã·ã§ãã«ã»ãã£ããããã¡ã³ããªã©ãåæ ¡ã®ããã€ãã®ã»ã³ã¿ãŒãå
¥å±
ããŠããŸããã«ãŒãã³ã¹ã¿ã€ã³ã»ããŒã«ã¯ã2005幎11æ4æ¥ãã³ãªã³ã»ããŠãšã«å
ç±³åœåœåé·å®ã®ã¹ããŒããå«ãæ£åŒãªèœæåŒãè¡ãããŸããã | ãã¥ãŒã¯å€§åŠãµã³ãã©ãŒãå
Œ
±æ¿ç倧åŠé¢ã¯ãããªãŒã»ãµã³ãã©ãŒãã«ã¡ãªãã§åœåãããŸããããµã³ãã©ãŒãã¯å
ãã¥ãŒã¯å€§åŠåŠé·ã§ãããããŒã¹ã«ãã©ã€ãå·ç¥äºãåãã人ç©ã§ãã | ãã¥ãŒã¯å€§åŠãµã³ãã©ãŒãå
Œ
±æ¿ç倧åŠé¢ã¯ãå
ãã¥ãŒã¯å€§åŠåŠé·ã§ããŒã¹ã«ãã©ã€ãå·ç¥äºã®ããªãŒã»ãµã³ãã©ãŒãã«ã¡ãªãã§åã¥ããããŸããããµã³ãã©ãŒãã¯1971幎ãå°æ¥ã®ãªãŒããŒè²æãç®çãšããåŠéçããã°ã©ã ãšããŠãå倧åŠã®æ¿çç§åŠã»å
Œ
±åé¡ç 究æãèšç«ããŸããã1994幎ããã¥ãŒã¯å€§åŠã®ãŠã§ã¹ããã£ã³ãã¹ã«çŸåšã®æ ¡èããªãŒãã³ããéããã®æ ¡èã¯ãµã³ãã©ãŒãã«ã¡ãªãã§åœåãããç 究æãæ¹åãããŸããããã®å»ºç©ã¯ãã¢ãŒããã¯ãã¥ã¢ã«ã»ãªãœãŒã¹ã»ã±ã³ããªããžç€Ÿãã¢ãã³ãŽã·ãã¯æ§åŒã§èšèšãããã®ã§ãããµã³ãã©ãŒãã»ã¹ã¯ãŒã«ã¯ãå
Œ
±æ¿çã®åŠå£«èª²çšã修士課çšãå士課çšãæäŸããŠããŸãã2005幎8æã«ã¯ãäž»èŠãªæ¯æŽè
ã§ãããã€ãããã»ã«ãŒãã³ã¹ã¿ã€ã³ã®åãå ãã2æ£ç®ã®æ ¡èããªãŒãã³ããŸããããã®å»ºç©ã«ã¯ããã¥ãŒã¯ã»ã»ã³ã¿ãŒã»ãã©ãŒã»ãã£ã€ã«ã&ãã¡ããªãŒã»ããªã·ãŒããã¥ãŒã¯ã»ã»ã³ã¿ãŒã»ãã©ãŒã»ã€ã³ã¿ãŒãã·ã§ãã«ã»ãã£ããããã¡ã³ããªã©ãåæ ¡ã®ããã€ãã®ã»ã³ã¿ãŒãå
¥å±
ããŠããŸããã«ãŒãã³ã¹ã¿ã€ã³ã»ããŒã«ã¯ã2005幎11æ4æ¥ãã³ãªã³ã»ããŠãšã«å
ç±³åœåœåé·å®ã®ã¹ããŒããå«ãæ£åŒãªèœæåŒãè¡ãããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã¥ãŒã¯å€§åŠãµã³ãã©ãŒãå
Œ
±æ¿ç倧åŠé¢ã¯èª°ã®ååã«ã¡ãªãã§åœåãããã®ãïŒ
### å
¥å
ãã¥ãŒã¯å€§åŠãµã³ãã©ãŒãå
Œ
±æ¿ç倧åŠé¢ã¯ãå
ãã¥ãŒã¯å€§åŠåŠé·ã§ããŒã¹ã«ãã©ã€ãå·ç¥äºã®ããªãŒã»ãµã³ãã©ãŒãã«ã¡ãªãã§åã¥ããããŸããããµã³ãã©ãŒãã¯1971幎ãå°æ¥ã®ãªãŒããŒè²æãç®çãšããåŠéçããã°ã©ã ãšããŠãå倧åŠã®æ¿çç§åŠã»å
Œ
±åé¡ç 究æãèšç«ããŸããã1994幎ããã¥ãŒã¯å€§åŠã®ãŠã§ã¹ããã£ã³ãã¹ã«çŸåšã®æ ¡èããªãŒãã³ããéããã®æ ¡èã¯ãµã³ãã©ãŒãã«ã¡ãªãã§åœåãããç 究æãæ¹åãããŸããããã®å»ºç©ã¯ãã¢ãŒããã¯ãã¥ã¢ã«ã»ãªãœãŒã¹ã»ã±ã³ããªããžç€Ÿãã¢ãã³ãŽã·ãã¯æ§åŒã§èšèšãããã®ã§ãããµã³ãã©ãŒãã»ã¹ã¯ãŒã«ã¯ãå
Œ
±æ¿çã®åŠå£«èª²çšã修士課çšãå士課çšãæäŸããŠããŸãã2005幎8æã«ã¯ãäž»èŠãªæ¯æŽè
ã§ãããã€ãããã»ã«ãŒãã³ã¹ã¿ã€ã³ã®åãå ãã2æ£ç®ã®æ ¡èããªãŒãã³ããŸããããã®å»ºç©ã«ã¯ããã¥ãŒã¯ã»ã»ã³ã¿ãŒã»ãã©ãŒã»ãã£ã€ã«ãïŒãã¡ããªãŒã»ããªã·ãŒããã¥ãŒã¯ã»ã»ã³ã¿ãŒã»ãã©ãŒã»ã€ã³ã¿ãŒãã·ã§ãã«ã»ãã£ããããã¡ã³ããªã©ãåæ ¡ã®ããã€ãã®ã»ã³ã¿ãŒãå
¥å±
ããŠããŸããã«ãŒãã³ã¹ã¿ã€ã³ã»ããŒã«ã¯ã2005幎11æ4æ¥ãã³ãªã³ã»ããŠãšã«å
ç±³åœåœåé·å®ã®ã¹ããŒããå«ãæ£åŒãªèœæåŒãè¡ãããŸããã
### å¿ç
|
PS5ã³ã³ãœãŒã«ã¯Xboxã·ãªãŒãºXããäœãåªããŠããã®ãïŒ | null | PS5ã³ã³ãœãŒã«ã¯ãXboxã·ãªãŒãºXãšæ¯èŒããŠã以äžã®ãããªããã€ãã®å©ç¹ãããïŒ
1.ç¬å ã²ãŒã ïŒPS5ã«ã¯ããã¹ãã€ããŒãã³ïŒãã€ã«ã¹ã»ã¢ã©ã¬ã¹ããããã¢ã³ãºãœãŠã«ãããã©ãã§ããïŒã¯ã©ã³ã¯ããªã©ãç¬å ã²ãŒã ã®åŒ·åãªã©ã€ã³ããããããïŒRift Apartããªã©ãXboxã·ãªãŒãºXã«ã¯ãªãç¬å ã¿ã€ãã«ãããã
2.ãã¥ã¢ã«ã»ã³ã¹ã»ã³ã³ãããŒã©ãŒPS5ã®ãã¥ã¢ã«ã»ã³ã¹ã³ã³ãããŒã©ãŒã¯ã觊èŠãã£ãŒãããã¯ãšã¢ãããã£ãããªã¬ãŒãæèŒããXboxã·ãªãŒãºXã®ã³ã³ãããŒã©ãŒããã没å
¥æã®é«ãã²ãŒã äœéšãæäŸããŸãã
3.ããé«éãªSSDPS5®ã®SSDã¯ãXbox®ã·ãªãŒãºXãããé«éãªèªã¿åºã/æžã蟌ã¿é床ãå®çŸããããŒãæéã®ççž®ãšã¹ã ãŒãºãªã²ãŒã ãã¬ã€ãå¯èœã«ããŸãã
4.3DãªãŒãã£ãªïŒPS5ã«ã¯3DãªãŒãã£ãªæ©èœãæèŒãããŠãããç¹ã«å¯Ÿå¿ããããããã³ã䜿çšããããšã§ããã没å
¥æã®ããã²ãŒã äœéšãæäŸã§ããã
5.äŸ¡æ ŒPS5ã«ã¯ããã£ã¹ã¯ãã©ã€ãæèŒçãšéæèŒçã®2çš®é¡ããããããããXboxã·ãªãŒãºXããäœäŸ¡æ Œãšãªã£ãŠããã
ããããXboxã·ãªãŒãºXã«ããæ§Xboxã²ãŒã ãšã®åŸæ¹äºææ§ãã²ãŒã ãã¹ã®å®é¡å¶ãµãŒãã¹ãããå€ãã®å€éšã¹ãã¬ãŒãžãªãã·ã§ã³ãžã®å¯Ÿå¿ãªã©ãç¬èªã®å©ç¹ãããããšã¯æ³šç®ã«å€ãããçµå±ã®ãšãããPS5ãšXboxã·ãªãŒãºXã®ã©ã¡ããéžã¶ãã¯ãå人ã®å¥œã¿ãã²ãŒã ãžã®ããŒãºæ¬¡ç¬¬ãšããããšã«ãªãã | PS5ã³ã³ãœãŒã«ãšXboxã·ãªãŒãºXã¯ãã©ã¡ãã次äžä»£ã®ã²ãŒã ã³ã³ãœãŒã«ãšããŠéçºãããŠãããã©ã¡ããé«æ§èœãªããã»ããµãã°ã©ãã£ãã¯ã¹ãã¡ã¢ãªãæèŒããŠããŸããããããPS5ã³ã³ãœãŒã«ãšXboxã·ãªãŒãºXã«ã¯ããã€ãã®éèŠãªéãããããŸãã
1. **ã°ã©ãã£ãã¯ã¹**: PS5ã³ã³ãœãŒã«ã¯ãããé«åºŠãªã°ã©ãã£ãã¯ã¹æ©èœãåããŠããŸããå
·äœçã«ã¯ãPS5ã¯ããé«éãªã¡ã¢ãªãšGPUãæèŒããŠãããããé«å質ãªã°ã©ãã£ãã¯ã¹ãå®çŸããŠããŸããäžæ¹ãXboxã·ãªãŒãºXã¯ãããé«éãªã¡ã¢ãªãšGPUãæèŒããŠããŸãããPS5ã»ã©é«æ§èœã§ã¯ãããŸããã
2. **ã¡ã¢ãª**: PS5ã³ã³ãœãŒã«ã¯ããã倧容éã®ã¡ã¢ãªãæèŒããŠããŸããããã«ããããã倧èŠæš¡ãªã²ãŒã ããã«ããã¬ã€ã€ãŒã²ãŒã ãããé«éã«å®è¡ããããšãã§ããŸããäžæ¹ãXboxã·ãªãŒãºXã¯ãããé«éãªã¡ã¢ãªãæèŒããŠããŸãããPS5ã»ã©å€§å®¹éã§ã¯ãããŸããã
3. **ã¹ãã¬ãŒãž**: PS5ã³ã³ãœãŒã«ã¯ããã倧容éã®ã¹ãã¬ãŒãžãæèŒããŠããŸããããã«ãããããå€ãã®ã²ãŒã ãã¡ãã£ã¢ãä¿åããããšãã§ããŸããäžæ¹ãXboxã·ãªãŒãºXã¯ãããé«éãªã¹ãã¬ãŒãžãæèŒããŠããŸãããPS5ã»ã©å€§å®¹éã§ã¯ãããŸããã
4. **äºææ§**: PS5ã³ã³ãœãŒã«ã¯ãããå¹
åºãã²ãŒã ãã¡ãã£ã¢ã®äºææ§ããããŸããããã¯ãPS5ãããå¹
åºãã²ãŒã ãã¡ãã£ã¢ã®ãã©ãŒãããããµããŒãããŠããããã§ããäžæ¹ãXboxã·ãªãŒãºXã¯ãããé«éãªã¡ã¢ãªãšGPUãæèŒããŠããŸãããPS5ã»ã©å¹
åºãã²ãŒã ãã¡ãã£ã¢ã®äºææ§ã¯ãããŸããã
5. **äŸ¡æ Œ**: PS5ã³ã³ãœãŒã«ã¯ãããæé ãªäŸ¡æ Œã§è³Œå
¥ã§ããŸããããã¯ãPS5ãããæé ãªäŸ¡æ Œã®ã¢ãã«ãæäŸããŠããããã§ããäžæ¹ãXboxã·ãªãŒãºXã¯ãããé«æ§èœãªã¢ãã«ãæäŸããŠããŸãããPS5ã»ã©æé ãªäŸ¡æ Œã§ã¯ãããŸããã
以äžã®ããã«ãPS5ã³ã³ãœãŒã«ãšXboxã·ãªãŒãºXã¯ãããããç°ãªãç¹åŸŽãæã£ãŠããŸããPS5ã³ã³ãœãŒã«ã¯ããé«æ§èœãªã°ã©ãã£ãã¯ã¹ãšã¡ã¢ãªãæèŒããŠããŸãããXboxã·ãªãŒãºXã¯ããå¹
åºãã²ãŒã ãã¡ãã£ã¢ã®äºææ§ãšããæé ãªäŸ¡æ ŒãæäŸããŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
PS5ã³ã³ãœãŒã«ã¯Xboxã·ãªãŒãºXããäœãåªããŠããã®ãïŒ
### å¿ç
|
ãžã§ãªãŒã¯ãé±æ«ã«èªãã§å人ããåããèå³æ·±ãå°èª¬ãæã£ãŠããŸããæ¬ã«ã¯93ããŒãžããããŸããåææ¥ã«ã圌ã¯30ããŒãžãèªã¿ãŸããæ¥ææ¥ã«ã圌ã¯æäŒã«è¡ããæ»ã£ãŠããŠåº§ã£ãŠã20ããŒãžã®æ¬ãèªã¿ãŸãããžã§ãªãŒãæ¬ãå®æãããåã«ãããã€ã®ããŒãžãæ®ã£ãŠããŸããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
number_of_pages = 93
pages_read_on_saturday = 30
pages_read_on_sunday = 20
pages_remaining = number_of_pages - (pages_read_on_saturday + pages_read_on_sunday)
pages_remaining
</llm-code><llm-code-output>
43
</llm-code-output>
ãããã£ãŠããžã§ãªãŒã«ã¯ãæ®ãã®{43}ããŒãžãæ®ã£ãŠããŸãã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
pages_read_saturday = 30
pages_read_sunday = 20
pages_read_total = pages_read_saturday + pages_read_sunday
pages_left = 93 - pages_read_total
pages_left
</llm-code><llm-code-output>
27
</llm-code-output>
ãããã£ãŠããžã§ãªãŒã¯æ¬ãå®æãããåã«\\ Boxed {27}ããŒãžãæ®ããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãžã§ãªãŒã¯ãé±æ«ã«èªãã§å人ããåããèå³æ·±ãå°èª¬ãæã£ãŠããŸããæ¬ã«ã¯93ããŒãžããããŸããåææ¥ã«ã圌ã¯30ããŒãžãèªã¿ãŸããæ¥ææ¥ã«ã圌ã¯æäŒã«è¡ããæ»ã£ãŠããŠåº§ã£ãŠã20ããŒãžã®æ¬ãèªã¿ãŸãããžã§ãªãŒãæ¬ãå®æãããåã«ãããã€ã®ããŒãžãæ®ã£ãŠããŸããïŒ
### å¿ç
|
次㮠landed property (åå°ãšå»ºç©ãäžç·ã«è³Œå
¥ããããš) ã«é¢ããçã玹ä»æãæžããŠãã ããã | null | ã¯ããlanded propertyãšã¯ãåå°ãšãã®äžã«ãã建ç©ãäžç·ã«è³Œå
¥ããããšãæããŸããããã¯äžåç£æè³ã®äžåœ¢æ
ã§ãããåå°ãšå»ºç©ãäžç·ã«ææããããšã§ãäž¡è
ãå¯æ¥ã«çµã³ã€ããè³ç£ã圢æããŸããéåžžãlanded propertyã¯äœå®
ãåæ¥ãã«ãå·¥æ¥çšæœèšãªã©æ§ã
ãªåœ¢æ
ããããŸãã
åå°ã¯äžã€ã®è³ç£ã§ãããæç¶çãªäŸ¡å€ãæã€äžæ¹ã§ã建ç©ã¯æéãšãšãã«äŸ¡å€ãæžå°ããåŸåã«ãããŸãããããã建ç©ãåå°ãšäžç·ã«ææãããããšã§ããã®äž¡è
ã®ãã©ã³ã¹ãåããç·åçãªè³ç£äŸ¡å€ãä¿ã€ããšãã§ããŸãã
ãŸããlanded propertyã®ææè
ã¯ãèªåã®åå°ãšå»ºç©ã«å¯Ÿããæ¯é
çãªæš©å©ãæã¡ãŸããã€ãŸããææè
ã¯ãã®äœ¿çšæ¹æ³ãéçºæ¹æ³ãèªç±ã«æ±ºå®ããããšãã§ããŸãããã ãããã®æš©å©ã¯å°åã®æ³èŠå¶ãæ¡äŸã«ãã£ãŠå¶éãããå ŽåããããŸãã
æåŸã«ãlanded propertyã¯äžåç£åžå Žã®å®å®æ§ãšå®å
šæ§ãæäŸãããšããå©ç¹ããããŸããåå°ãšå»ºç©ãäžç·ã«ãªã£ãŠè²©å£²ãããããšã§ã賌å
¥è
ã¯é·æçãªè³ç£äŸ¡å€ãæåŸ
ããããšãã§ããæè³å®¶ã«ãšã£ãŠé
åçãªéžæè¢ãšãªããŸãã | Landed property (åå°ãšå»ºç©ãäžç·ã«è³Œå
¥ããããš) ã¯ãäžåç£ååŒã®åœ¢æ
ã®äžã€ã§ãåå°ãšå»ºç©ãäžç·ã«è³Œå
¥ããããšãæããŸããããã¯ãåå°ãšå»ºç©ãå¥ã
ã«è³Œå
¥ãããããããã倧ããªå©çãåŸãããšãã§ããå¯èœæ§ããããŸãã
Landed property ã¯ãéåžžãåå°ãšå»ºç©ã®äž¡æ¹ãææããæš©å©ãåæã«ååŸããããšãæããŸããããã¯ãåå°ãšå»ºç©ãå¥ã
ã«è³Œå
¥ãããããããã倧ããªå©çãåŸãããšãã§ããå¯èœæ§ããããŸãã
Landed property ã¯ãéåžžãåå°ãšå»ºç©ã®äž¡æ¹ãææããæš©å©ãåæã«ååŸããããšãæããŸããããã¯ãåå°ãšå»ºç©ãå¥ã
ã«è³Œå
¥ãããããããã倧ããªå©çãåŸãããšãã§ããå¯èœæ§ããããŸãã
Landed property ã¯ãéåžžãåå°ãšå»ºç©ã®äž¡æ¹ãææããæš©å©ãåæã«ååŸããããšãæããŸããããã¯ãåå°ãšå»ºç©ãå¥ã
ã«è³Œå
¥ãããããããã倧ããªå©çãåŸãããšãã§ããå¯èœæ§ããããŸãã
Landed property ã¯ãéåžžãåå°ãšå»ºç©ã®äž¡æ¹ãææããæš©å©ãåæã«ååŸããããšãæããŸããããã¯ãåå°ãšå»ºç©ãå¥ã
ã«è³Œå
¥ãããããããã倧ããªå©çãåŸãããšãã§ããå¯èœæ§ããããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次㮠landed property (åå°ãšå»ºç©ãäžç·ã«è³Œå
¥ããããš) ã«é¢ããçã玹ä»æãæžããŠãã ããã
### å¿ç
|
粟éã宿ã£ãéæ³ã®ã©ã³ããèŠã€ããç·ã®ç©èªãæžããªããã粟éã¯åœŒã®é¡ããå¶ããç©èªã¯æ²åçãªçµæ«ãè¿ããã¯ãã§ãã | null | ãã€ãŠãããç·ãéæ³ã®ã©ã³ããèŠã€ããã圌ã¯ã©ã³ãã磚ããšããã®äžãã粟éãçŸããã粟éã¯ç·ã«ããäœã§ãé¡ããå¶ããŸãããšèšã£ããç·ã¯åã³ãããã«3ã€ã®é¡ããå¶ããããã«é Œãã ã
æåã®é¡ãã¯ãéæã¡ã«ãªãããšã粟éã¯éæ³ããããç·ã«è«å€§ãªå¯ãäžããã次ã®é¡ãã¯ãçŸãã女æ§ãšçµå©ããããšã粟éã¯ç·ã®åã«æãçŸãã女æ§ãåµãåºããäºäººã¯çµå©ãããæåŸã®é¡ãã¯ãæ°žé ã«çããããšã粟éã¯ç·ãäžæ»ã®äœã«å€ããã
ããããæ°žé ã®åœãæã«å
¥ããç·ã¯ãèªåã®åãå¢ããŠããæ¯æ¥ã«é£œããŠããŸã£ãã圌ã¯ã©ããªé¡ããå¶ããããååšã«ãªãããã¹ãŠãæã¡ãããŠããã圌ã®å¿ã¯æ¬¡ç¬¬ã«æžãã圌ã¯ãã æ»ãæãããã«ãªã£ãã
圌ã¯ç²Ÿéã«ããæ°žé ã®åœãåãé€ããŠããããšé¡ã£ãã粟éã¯ãæžæã«æªãã ç·ã®åœã奪ãããšã¯ã§ããªããšèšã£ããç·ã¯èªåã®åã§æ»ãããããªæ¹æ³ãæ±ãã粟éã¯çããããåãæã€è
ã¯ãèªãã®æã§çµãããåµããã°ãªããªãããšã
ç·ã¯åã䜿ããèªãã®äœãæšã«å€ããã圌ã®èäœã¯æ£®ã«ãšã£ãŠæ°žé ã®ã·ã³ãã«ãšãªã£ãããããŠåœŒã®éã¯ã圌ãæãã人ã
ã«æ°žé ã«èŠå®ãããããšã«ãªã£ãã®ã§ãããããããŠæ²åçãªçµæ«ãè¿ããç·ã®ç©èªã¯çµããã圌ã®é¡ãã¯å
šãŠå¶ããããããã®ä»£åã¯ããŸãã«ã倧ããã£ãã®ã§ããã | 粟éã宿ã£ãéæ³ã®ã©ã³ããèŠã€ããç·ã¯ããã®ã©ã³ãã«é
äºããããã®åã«é
äºããããç·ã¯ã©ã³ããæã¡åž°ããã©ã³ãã®ç²Ÿéã«é¡ããå¶ããŠãããããšã«ããã
ç·ã¯ã©ã³ãã«é¡ããåãã粟éã¯ãã®é¡ããå¶ããããã«ãç·ã®é¡ããå¶ããããšã«ããã粟éã¯ç·ã®é¡ããå¶ããç·ã¯ãã®é¡ããå¶ããããšãã§ããã
ãããã粟éã¯ç·ã®é¡ããå¶ããéçšã§ããã®é¡ããå¶ããããã«å¿
èŠãªä»£åãèŠæ±ãããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã粟éã¯ç·ã®é¡ããå¶ããã®ãè«Šããç·ã¯ãã®ä»£åãæ¯æãããšãã§ããªãã£ãã
粟é㯠| 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
粟éã宿ã£ãéæ³ã®ã©ã³ããèŠã€ããç·ã®ç©èªãæžããªããã粟éã¯åœŒã®é¡ããå¶ããç©èªã¯æ²åçãªçµæ«ãè¿ããã¯ãã§ãã
### å¿ç
|
äžããããWAVé³å£°ãã¡ã€ã«ã®é³éã枬å®ããPythonã³ãŒããæžããªããã | sound.wav | ```python
import soundfile as sf
def measure_volume(file_name):
data, samplerate = sf.read(file_name)
volume = max(data)
return volume
``` | ```python
import soundfile as sf
data, samplerate = sf.read('sound.wav')
volume = sf.dBFS(data)
print(volume)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããWAVé³å£°ãã¡ã€ã«ã®é³éã枬å®ããPythonã³ãŒããæžããªããã
### å
¥å
sound.wav
### å¿ç
|
äžããããäºã€ã®æè©ã®ãªã¹ããããæ°ããªæè©ãçæããŠãã ããã | - æè©1: "éšãéãè¡ã®å€æã"ã"éããªçºã«ç ã人圢"ã"åãã¯å·ã€ããå¿ã"ã"å¯ãæ·»ã£ãŠã²ãšã€ã«ãªã"
- æè©2: "éªãéãå€ã®æ空"ã"å
ãæŸã€çºãšå
±ã«"ã"åãã¡ã¯äžåšçšã«"ã"æãåãåããªããæ©ããŠãã" | æ°ããªæè©:
"æ空ãç
§ããå€ã®è¡"
"éãã«ç ã人圢ã®ããã«"
"åãã¡ã¯å·ã€ããå¿ã"
"å¯ãæ·»ãåã£ãŠãã®äžãçãã" | æ°ããªæè©: "éªãéãå€ã®æ空"ã"å
ãæŸã€çºãšå
±ã«"ã"åãã¡ã¯äžåšçšã«"ã"æãåãåããªããæ©ããŠãã" | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããäºã€ã®æè©ã®ãªã¹ããããæ°ããªæè©ãçæããŠãã ããã
### å
¥å
- æè©1: "éšãéãè¡ã®å€æã"ã"éããªçºã«ç ã人圢"ã"åãã¯å·ã€ããå¿ã"ã"å¯ãæ·»ã£ãŠã²ãšã€ã«ãªã"
- æè©2: "éªãéãå€ã®æ空"ã"å
ãæŸã€çºãšå
±ã«"ã"åãã¡ã¯äžåšçšã«"ã"æãåãåããªããæ©ããŠãã"
### å¿ç
|
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»ãé»æ¢ããããã«ã森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 | ãã¡ããã5人ã®ãã£ã©ã¯ã¿ãŒãš3人ã®ããŒããŒã䜿ã£ãç©èªãäœããæäŒããããŸãã身äœçãªç¹åŸŽãå«ããå¿
èŠããããšã®ããšã§ãããã©ã®ãããªç©èªããèãã§ãããã? | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
5人ã®ãã£ã©ã¯ã¿ãŒãæªåœ¹ãš3人ã®ããŒããŒã䜿ã£ãŠç©èªãäœãã身äœçãªç¹åŸŽãå«ããå¿
èŠããã
### å¿ç
|
次ã®ãã¡ã財åè«žè¡šäžãè³ç£ãšã¿ãªããããã®ã¯ã©ãã§ãããïŒæ£åžè³ç£ãåçããªãŒã¹ãè²·æéãå©çå°äœéãçŸéã財åçèšŒåž | null | 財åè«žè¡šäžãè³ç£ãšã¿ãªããããã®ã¯ã**æ£åžè³ç£ãçŸéãåœåº«çæ蚌åž**ã§ãã
ãã®çç±ãã¹ããããã€ã¹ãããã§èª¬æããŸãã
ãŸãã**æ£åžè³ç£**ã¯ãäŒç€Ÿãææãã売買ç®çã§ä¿æããŠããååãåææãªã©ã®ããšãæããŸãããããã¯ãäŒç€Ÿã®è²¡ç£ã§ãããå°æ¥ã®åçã«ã€ãªããå¯èœæ§ãããããã財åè«žè¡šäžãè³ç£ãšããŠèšäžãããŸãã
次ã«ã**çŸé**ã¯ãäŒç€Ÿãä¿æããå©çšå¯èœãªçŸéã®ããšãæããŸããããã¯æãæµåçãªè³ç£ã§ãããäŒç€Ÿãå³åº§ã«æ¯æããæè³ãè¡ãããšãã§ããŸãããããã£ãŠãçŸéã財åè«žè¡šäžãè³ç£ãšããŠèšäžãããŸãã
æåŸã«ã**åœåº«çæ蚌åž**ã¯ãæ¥æ¬åœæ¿åºãçæéïŒéåžžã¯1幎以å
ïŒã«è¿æžããããšãçŽæããçæåµåžã§ãããããã®èšŒåžã¯ãåœã®ä¿¡çšåã«åºã¥ããŠçºè¡ãããäœãªã¹ã¯ã®æè³å
ãšèŠãªãããŸãããããã£ãŠãããã財åè«žè¡šäžãè³ç£ãšããŠèšäžãããŸãã
äžæ¹ã**åç**ã**ãªãŒã¹**ã**è²·æé**ã**å©çå°äœé**ã**財åç蚌åž**ã¯ã財åè«žè¡šäžãè³ç£ãšã¯èŠãªãããŸãããããããã®çç±ã¯ä»¥äžã®éãã§ãïŒ
- **åç**ïŒåçã¯äŒæ¥ã®åå
¥ã瀺ããã®ã§ãè³ç£ã§ã¯ãããŸããã
- **ãªãŒã¹**ïŒãªãŒã¹ã¯ã䜿çšæš©ãåŸãããã«æ¯æãè²»çšã§ãããè³ç£ãšã¯èŠãªãããŸããã
- **è²·æé**ïŒè²·æéã¯ãååããµãŒãã¹ã®è³Œå
¥ã«å¯Ÿããæªæéã§ãããè³ç£ã§ã¯ãããŸããã
- **å©çå°äœé**ïŒå©çå°äœéã¯ãéå»ã«åŸãå©çã®ãã¡ãåæè³ãé
åœã«åãããŠããªãéé¡ã§ãããè³ç£ã§ã¯ãããŸããã
- **財åç蚌åž**ïŒãããã®èšŒåžã¯ã財åçãçºè¡ããäžé·æåœåµã®äžçš®ã§ãæè³å®¶ãåœã«å¯ŸããŠé·æéã®è³éãæäŸãããã®ã§ãããããã¯ãé·æéä¿æãããããšãäžè¬çã§ããã財åè«žè¡šäžãæµåæ§ãäœããããè³ç£ãšã¯èŠãªãããŸããã | æ£åžè³ç£ | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®ãã¡ã財åè«žè¡šäžãè³ç£ãšã¿ãªããããã®ã¯ã©ãã§ãããïŒæ£åžè³ç£ãåçããªãŒã¹ãè²·æéãå©çå°äœéãçŸéã財åç蚌åž
### å¿ç
|
ããªãŒã»ããã¿ãŒã¯ã¯ã³ãã³ãã³ã«åã€ã®ã? | null | ããã¯ç°ãªããã£ã¯ã·ã§ã³ã®äžçã®ãã£ã©ã¯ã¿ãŒã§ãããããçŽæ¥æ¯èŒã察決ã¯ã§ããŸãããããªãŒã»ããã¿ãŒã¯ãJã»Kã»ããŒãªã³ã°ã«ããå°èª¬ãããªãŒã»ããã¿ãŒãã·ãªãŒãºã®äž»äººå
¬ã§ãããéæ³äœ¿ãã§ããã¯ã³ãã³ãã³ã¯ãONEæ°ã«ããæ¥æ¬ã®ãŠã§ãã³ããã¯ãã¯ã³ãã³ãã³ãã®äž»äººå
¬ã§ãããããããç©ãäžæã§åãããšãã§ããåãæã£ãŠããŸãã
ããããä»®ã«ãããã®ãã£ã©ã¯ã¿ãŒãçŽæ¥å¯Ÿæ±ºãããšä»®å®ããå Žåã以äžã®ç¹ãèæ
®ããå¿
èŠããããŸãã
- ããªãŒã»ããã¿ãŒã¯ãéæ³ã®äžçã§ã¯éåžžã«åŒ·åãªèœåãæã£ãŠããŸãã圌ã¯7å·»ã«ãããç©èªãéããŠãããŸããŸãªéæ³ã察æçãåŠã³ãåªæãéè¡å
·ã䜿ãããªãããšãã§ããŸãããŸãã圌ã®èŠªåã§ãããã«ã¬ã»ãããããã³ã»ãŠã£ãŒãºãªãŒã匷åãªéæ³äœ¿ãã§ããã圌ããšååããã°ããã«åŒ·åã«ãªããŸãã
- äžæ¹ãã¯ã³ãã³ãã³ã¯ãããŸéçŽãè¶
ããæµãäžæã§åãããšãã§ããåãæã£ãŠããŸããããã¯éåžžã«åŒ·åãªèœåã§ãããå€ãã®æµãç°¡åã«åãããšãã§ããŸãããŸãã圌ã¯ããŸããŸãªæŠéæè¡ãæã£ãŠããã圌èªèº«ã®èº«äœèœåãéåžžã«é«ãã§ãã
äž¡è
ã®èœåãæ¯èŒãããšãã¯ã³ãã³ãã³ãæå©ãããããŸããã圌ã®äžæã¯éåžžã«åŒ·åã§ãããå€ãã®å Žåãçžæãäžæã§åãããšãã§ããŸããäžæ¹ãããªãŒã»ããã¿ãŒã¯éæ³ã®äžçã§ã¯éåžžã«åŒ·åã§ãããã¯ã³ãã³ãã³ã®ãããªè¶
åžžçãªåãæã£ãŠããŸããããŸããã¯ã³ãã³ãã³ã¯æŠéæè¡ãé«ãã身äœèœåãé«ããããçŽæ¥å¯Ÿæ±ºã§ã¯æå©ã«ãªãå¯èœæ§ãé«ãã§ãã
ãã ããããã¯ãããŸã§ä»®å®ã®è©±ã§ãããå®éã«ã¯ç°ãªããã£ã¯ã·ã§ã³ã®äžçã®ãã£ã©ã¯ã¿ãŒã¯çŽæ¥å¯Ÿæ±ºããããšã¯ã§ããŸããã | ããªãŒã»ããã¿ãŒã¯ã¯ã³ãã³ãã³ã«åã€ããšã¯ã§ããŸãããããªãŒã»ããã¿ãŒã¯éæ³ã®åãæã€éæ³äœ¿ãã§ãããã¯ã³ãã³ãã³ã¯è¶
人çãªåãæã€ããŒããŒã§ããããªãŒã»ããã¿ãŒã¯éæ³ã®åã§æµãåãããšãã§ããŸãããã¯ã³ãã³ãã³ã¯è¶
人çãªåã§æµãåãããšãã§ããŸãããããã£ãŠãããªãŒã»ããã¿ãŒãã¯ã³ãã³ãã³ã«åã€ããšã¯ã§ããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããªãŒã»ããã¿ãŒã¯ã¯ã³ãã³ãã³ã«åã€ã®ã?
### å¿ç
|
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸããïŒ | null | ããã¹ãå€æãã¯ãªãšã€ãã£ãã»ã©ã€ãã£ã³ã°ã»ã¿ã¹ã¯ã®ãããªäž»èŠ³çã§çæçãªã³ã³ãã³ãã«ã¯ãã€ã³ã¹ãã©ã¯ã·ã§ã³ã»ãã¥ãŒãã³ã°ãããLLMãé©ããŠãããšèšããã§ãããã
æ£è§£ãäžã€ãããªããããªäºå®ã«åºã¥ããã¿ã¹ã¯ã§ã¯ãLLMã¯å¹»èŠãèŠãåŸåããããããäŒçµ±çãªæ€çŽ¢ãšã³ãžã³ã®æ¹ãå¹çã§ã¯äžã§ãããã | ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸãã?
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ChatGPTã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ããã³ã³ãã³ããçæããããšã¯ãéåžžã«ãšãã«ã®ãŒãæ¶è²»ããããšã§ãããæ°åå€åãéè¿ã«è¿«ã£ãŠããããšããåç¥ã®æ¹ãããã£ããããããããŸãããããã®ãããªå€§èŠæš¡ãªèšèªã¢ãã«ã䜿çšããã¿ã€ãã³ã°ãšã質åã®çããèŠã€ããããã«åŸæ¥ã®æ€çŽ¢ãšã³ãžã³ãæ€çŽ¢ããã¿ã€ãã³ã°ã«ã€ããŠãäœãã¢ããã€ã¹ãããã ããŸããïŒ
### å¿ç
|
$ïŒx+yïŒ^6 $ã®æ¡åŒµã«ããã$ x^2y^4 $é
ã®ä¿æ°ã¯äœã§ããïŒ | null | é¢æ°sympy.binomialã䜿çšããŠäºé
ãæ¡åŒµããPythonã®Sympyã©ã€ãã©ãªã䜿çšããŠæ¡åŒµçµæã«$ x^2y^4 $ã®ä¿æ°ãèŠã€ããŸãã<llm-code>
import sympy as sp
# Define the binomial coefficients
n = 6
r = 2
# Compute the binomial coefficient for (x+y)^6
coefficient = sp.binomial(n, r)
# Print the coefficient
print(coefficient)
</llm-code><llm-code-output>
15
</llm-code-output>
ãããã£ãŠã$ïŒx+yïŒ^6 $ã®æ¡åŒµã«ããã$ x^2y^4 $é
ã®ä¿æ°ã¯$ \\ boxed {15} $ã§ãã | $(x+y)^6 $ã®æ¡åŒµã«ããã$ x^2y^4 $é
ã®ä¿æ°ã¯$ \\ boxed {12} $ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
$ïŒx+yïŒ^6 $ã®æ¡åŒµã«ããã$ x^2y^4 $é
ã®ä¿æ°ã¯äœã§ããïŒ
### å¿ç
|
ç§ã¯äžçŽPythonéçºè
ã§ãããã£ãšæèœãªå°é家ã«ãªãããã§ããã©ãããã°ããã§ãã? | null | äžçŽPythonéçºè
ããããã«ã¹ãã«ãåäžãããå°é家ã«ãªãããã«ã¯ã以äžã®ã¹ãããã圹ç«ã€ã§ãããã
1. **æè¡çã¹ãã«ã磚ã**
- Pythonã®æ°ããããŒãžã§ã³ããªãªãŒã¹ããããã³ã«ãææ°ã®æ©èœãå€æŽç¹ãåŠç¿ããŸãããã
- é¢é£æè¡ã®ç解ãæ·±ããããšãéèŠã§ããäŸãã°ãããŒã¿ããŒã¹ããããã¯ãŒãã³ã°ãã»ãã¥ãªãã£ãã¯ã©ãŠããªã©ã
2. **ãšã³ã¿ãŒãã©ã€ãºã¬ãã«ã®éçºã«é¢ããç¥èãåŸã**
- 倧èŠæš¡ãªéçºãããžã§ã¯ããçµéšãããšã³ã¿ãŒãã©ã€ãºã¢ããªã±ãŒã·ã§ã³éçºã®è©³çŽ°ãåŠã¶ããšãéèŠã§ãã
- ã¢ãŒããã¯ãã£èšèšãããã©ãŒãã³ã¹ãã¥ãŒãã³ã°ãªã©ãäžçŽã®éçºã¹ãã«ã身ã«ã€ããŸãããã
3. **ãã¡ã€ã³é§åèšèš (DDD) ã®ç解**
- DDDã¯ããœãããŠã§ã¢éçºã®çŸå Žã§åºã䜿ãããŠããã¢ãããŒãã§ãããããç解ããå®è·µããããšã§æ¥åç¥èãšãœãããŠã§ã¢èšèšãå¹æçã«çµã³ã€ããããšãã§ããŸãã
4. **æ°ããæè¡ãããŒã«ãžã®ç¶ç¶çãªåŠç¿**
- AIãæ©æ¢°åŠç¿ããããã¯ãã§ãŒã³ãªã©ãæ°ããªæè¡é åã¯æ¥éã«æé·ããŠããŸãããããã®åéã«é¢ããç¥èãç©æ¥µçã«ååŸããæ°ããããŒã«ãè©ŠãããšãéèŠã§ãã
5. **ãããžã§ã¯ããããŒãžã¡ã³ãã®ã¹ãã«**
- éçºãããžã§ã¯ããå¹æçã«éå¶ããããã«ã¯ããããžã§ã¯ããããŒãžã¡ã³ãã®ã¹ãã«ãå¿
èŠã§ããPMPãªã©ã®èªå®ååŸãç®æãã®ãäžã€ã®æ¹æ³ã§ãã
6. **ã³ãã¥ããã£ãžã®åå ãæ
å ±çºä¿¡**
- GitHubã§ã®ãªãŒãã³ãœãŒã¹ãããžã§ã¯ããžã®è²¢ç®ãã¹ã¿ãã¯ã»ãªãŒããŒãããŒãRedditãªã©ã®Q&Aãµã€ãã§ã®è²¢ç®ãããã°å·çãã¹ããŒã«ãŒãšããŠç»å£ãããªã©ã§ãèªèº«ã®ç¥èãæ·±ããæ¥çãšã®ã€ãªãããæ·±ããŸãããã
ãããã®ã¢ãããŒããéããŠãããªãã¯ããæèœãªå°é家ãžãšæé·ããããšãã§ããŸãããŸããæ¥çã§ã®ã€ãªãããåºããç©æ¥µçã«æ
å ±ãçºä¿¡ããããšã§ããšãã¹ããŒããšããŠã®èªç¥åºŠãé«ããããšãã§ããŸãã | Pythonã®ãšãã¹ããŒãã«ãªãããã«ã¯ã以äžã®ã¹ããããåèã«ããŠãã ããã
1. **Pythonã®åŠç¿**: Pythonã®åºæ¬çãªææ³ããªããžã§ã¯ãæåããã°ã©ãã³ã°ãããŒã¿æ§é ãé¢æ°ãã¢ãžã¥ãŒã«ãã¯ã©ã¹ãã¢ãžã¥ãŒã«ãã¢ãžã¥ãŒã«ãªã©ãåŠã³ãŸãããã
2. **Pythonã®ã©ã€ãã©ãªãšããŒã«ã®ç解**: æšæºã©ã€ãã©ãªããµãŒãããŒãã£ã©ã€ãã©ãªãPythonã®ããŒã«ããã(PyPIãpipãpip3ãªã©)ã«ã€ããŠåŠã³ãŸãããã
3. **Pythonã®ã³ãŒãã£ã³ã°ã¹ã¿ã€ã«**: äžè²«æ§ããããèªã¿ããããä¿å®æ§ã®é«ãã³ãŒããæžãããã®ã³ãŒãã£ã³ã°ã¹ã¿ã€ã«ãåŠã³ãŸãããã
4. **Pythonã®ãã¹ããã©ã¯ãã£ã¹**: ã³ãŒãã®å¯èªæ§ãä¿å®æ§ãããã©ãŒãã³ã¹ãåäžãããããã®ãã¹ããã©ã¯ãã£ã¹ãåŠã³ãŸãããã
5. **Pythonã®ãããã°ãšãã¹ã**: Pythonã®ãããã°ãšãã¹ãã®ãã¯ããã¯ãåŠã³ãã³ãŒãã®å質ãåäžãããŸãããã
6. **Pythonã®ã³ãã¥ããã£ãžã®åå **: Pythonã®ã³ãã¥ããã£ã«åå ããä»ã®éçºè
ãšäº€æµãã質åã«çããããã³ãŒããå
±æãããããŸãããã
7. **Pythonã®ãã¥ãŒããªã¢ã«ãæžç±ã®åŠç¿**: Pythonã®ãã¥ãŒããªã¢ã«ãæžç±ãèªã¿ãPythonã®ã¹ãã«ãåäžãããŸãããã
8. **Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ãããžã®åå **: Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã«åå ããä»ã®éçºè
ãšäº€æµãã質åã«çããããã³ãŒããå
±æãããããŸãããã
9. **Pythonã®ãã¥ãŒããªã¢ã«ãæžç±ã®å·ç**: Pythonã®ãã¥ãŒããªã¢ã«ãæžç±ãå·çããPythonã®ã¹ãã«ãåäžãããŸãããã
10. **Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§ã®è¬æŒ**: Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§è¬æŒããPythonã®ã¹ãã«ãåäžãããŸãããã
11. **Pythonã®ã³ãã¥ããã£ãžã®è²¢ç®**: Pythonã®ã³ãã¥ããã£ã«è²¢ç®ããä»ã®éçºè
ãšäº€æµãã質åã«çããããã³ãŒããå
±æãããããŸãããã
12. **Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§ã®ãã©ã³ãã£ã¢**: Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§ãã©ã³ãã£ã¢ãšããŠåå ããPythonã®ã¹ãã«ãåäžãããŸãããã
13. **Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§ã®ã¹ãã³ãµãŒ**: Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§ã¹ãã³ãµãŒãšããŠåå ããPythonã®ã¹ãã«ãåäžãããŸãããã
14. **Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§ã®ã¹ããŒã«ãŒ**: Pythonã®ã«ã³ãã¡ã¬ã³ã¹ãããŒãã¢ããã§ã¹ããŒã«ãŒãšããŠåå ããPythonã®ã¹ãã«ãåäžãããŸãããã
15. ** | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ç§ã¯äžçŽPythonéçºè
ã§ãããã£ãšæèœãªå°é家ã«ãªãããã§ããã©ãããã°ããã§ãã?
### å¿ç
|
次ã®Pythoné¢æ°ãæ¥æ¬èªã®èª¬æãšã³ã¡ã³ãã§äœµèšããŠãã ããã | `<noinput>` | ```python
def greet(name):
"""
äžããããååã䜿ã£ãŠæšæ¶ãè¡ãé¢æ°
Args:
name (str): æšæ¶ããçžæã®åå
Returns:
str: æšæ¶æ
"""
return f"ããã«ã¡ã¯ã{name}ããïŒ"
``` | ```python
def é¢æ°():
# é¢æ°ã®æ¬äœ
pass
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®Pythoné¢æ°ãæ¥æ¬èªã®èª¬æãšã³ã¡ã³ãã§äœµèšããŠãã ããã
### å
¥å
`<noinput>`
### å¿ç
|
ã¯ããŒããŒãæã«1.5ãã€ã«ã®æ£æ©ã«åºãããæ¯æ¥å€æ¹ã«ããã«1.5ãã€ã«ã®æ£æ©ã«åºãããå Žåã圌ã¯30æ¥éã§äœãã€ã«æ£æ©ããŸããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
distance_per_walk = 1.5
total_walks_per_day = 2
days_in_a_month = 30
distance_walked_per_month = distance_per_walk * total_walks_per_day * days_in_a_month
distance_walked_per_month
</llm-code><llm-code-output>
90.0
</llm-code-output>
ãããã£ãŠãã¯ããŒããŒã¯æã«åèš\\Boxed{90}ãã€ã«ãæ©ããŸãã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
# 1.5 miles per day
days_per_day = 30
# 1.5 miles per day
days_per_day_walk = 30
# 1.5 miles per day
days_per_day_walk_after_day = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk_after_day = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk_after_day_walk = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day_walk = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day_walk = 30
# 1.5 miles per day
days_per_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day_walk_after_day = 30
# 1.5 miles per day
day | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã¯ããŒããŒãæã«1.5ãã€ã«ã®æ£æ©ã«åºãããæ¯æ¥å€æ¹ã«ããã«1.5ãã€ã«ã®æ£æ©ã«åºãããå Žåã圌ã¯30æ¥éã§äœãã€ã«æ£æ©ããŸããïŒ
### å¿ç
|
次ã®XMLããŒã¿ãããŒã¹ããŠååŸãããããŒã¿ãèŸæžåã«å€æããŠãã ããã | ```xml
<books>
<book>
<title>The Catcher in the Rye</title>
<author>J.D. Salinger</author>
<year>1951</year>
</book>
<book>
<title>To Kill a Mockingbird</title>
<author>Harper Lee</author>
<year>1960</year>
</book>
</books>
``` | ```python
import xml.etree.ElementTree as ET
def parse_xml_to_dict(xml_data):
root = ET.fromstring(xml_data)
books = []
for book in root.findall('book'):
book_dict = {}
for field in book:
book_dict[field.tag] = field.text
books.append(book_dict)
return books
# Example usage:
xml_data = """...""" # Input XML data
books = parse_xml_to_dict(xml_data)
for book in books:
print(book)
``` | ```python
import xml.etree.ElementTree as ET
# Parse the XML data
root = ET.fromstring(xml_data)
# Extract the data
books = []
for book in root.findall('book'):
title = book.find('title').text
author = book.find('author').text
year = book.find('year').text
books.append({'title': title, 'author': author, 'year': year})
print(books)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®XMLããŒã¿ãããŒã¹ããŠååŸãããããŒã¿ãèŸæžåã«å€æããŠãã ããã
### å
¥å
```xml
<books>
<book>
<title>The Catcher in the Rye</title>
<author>J.D. Salinger</author>
<year>1951</year>
</book>
<book>
<title>To Kill a Mockingbird</title>
<author>Harper Lee</author>
<year>1960</year>
</book>
</books>
```
### å¿ç
|
æºåž¯é»è©±ã®å°åãã€ã¯ã¯ã©ã®ããã«æ©èœããã®ãïŒ | null | æºåž¯é»è©±ã®å°ããªãã€ã¯ã¯ãé³æ³¢ãé»æ°ä¿¡å·ã«å€æããæºåž¯é»è©±ã®é»åæ©åšã§åŠçã»å¢å¹
ããããšã§æ©èœããããã€ã¯ã«ã¯ãé³æ³¢ã«åå¿ããŠæ¯åããæ¯åæ¿ãšãæ¯åæ¿ã«åãä»ããããå°ããªç£æ°ã³ã€ã«ããããæ¯åæ¿ãæ¯åãããšãã³ã€ã«ãç£çå
ã§ååŸã«åããé³æ³¢ã«å¯Ÿå¿ããé»æµãçºçããããã®é»æµã¯æºåž¯é»è©±ã®ãªãŒãã£ãªã»ããŒããŠã§ã¢ã«ãã£ãŠæŸããåŠçãããéä¿¡ãŸãã¯åççšã«ä¿åã§ããããžã¿ã«ããŒã¿ã«å€æãããã | æºåž¯é»è©±ã®å°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã«é³å£°ãæŸãããã«äœ¿çšãããŸããå°åãã€ã¯ã¯ãé話äžã« | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
æºåž¯é»è©±ã®å°åãã€ã¯ã¯ã©ã®ããã«æ©èœããã®ãïŒ
### å¿ç
|
100äžå¹Žã«ã¯äœæ¥ãããŸããïŒ | null | 100äžãšããæå³ã ãšæããŸããã100äžãšããæ°åã¯ãããŸããã100äžå¹Žã«ã¯365,000,000æ¥ãããŸãã | 100äžå¹Žã¯ãå°çã®å¹Žéœ¢ã®çŽ1000åã§ããå°çã®å¹Žéœ¢ã¯çŽ45å4åäžå¹Žã§ãããããã£ãŠã100äžå¹Žã¯45å4åäžå¹Žãããé·ãã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
100äžå¹Žã«ã¯äœæ¥ãããŸããïŒ
### å¿ç
|
ã©ã®åç©ã家çãéçããèå¥ããïŒãã§ã¬ããããªãªããºãã®ã㪠| null | 家çåãããåç©ãšéçã®åç©ãèå¥ããã«ã¯ããã®åç©ã®èµ·æºãšé²åã®æŽå²ãç解ããããšãéèŠã§ãã
ãã§ã¬ããã¯ãããšããšã¯ãšãŒããããã§ã¬ãã (_Mustela putorius_) ã®äºçš®ã§ã家çåãããå°åã®ã€ã¿ãç§ã®åºä¹³é¡ã§ããäžæ¹ããªãªããºãã®ããªïŒ_Fregata magnificens_ïŒã¯ãã«ããªããªç§ã®å€§åæµ·é³¥ã§ãäž»ã«ç±åž¯ããäºç±åž¯æµ·åã§çæ¯ããŠããŸãã
ãã®æ
å ±ãããšã«ãååç©ã家çåããããã®ãéçã®ãã®ããå€æããŸãã
ãã§ã¬ããã¯ãããšããšã¯éçã®ãšãŒããããã§ã¬ããã家çåããããã®ã§ããããã家çåãããåç©ã«åé¡ãããŸãã
äžæ¹ããªãªããºãã®ããªã¯éçã®æµ·é³¥ã§ããã人éã«ãã飌è²ãæ¹å€ãåããŠããªããããéçã®åç©ã«åé¡ãããŸãã
以äžã®ããã«ãè«ççã«èããçç©ã®èµ·æºãšé²åã®æŽå²ãç解ããããšã§ã家çåãããåç©ãšéçã®åç©ãèå¥ããããšãã§ããŸãã | ãã§ã¬ããã¯å®¶çã§ããããªãªããºãã®ããªã¯éçã®åç©ã§ãã
ãã§ã¬ããã¯ãããããšããŠé£Œè²ãããããšãå€ãå°åã®åºä¹³é¡ã§ã家çãšããŠé£Œè²ãããŠããŸããäžæ¹ããªãªããºãã®ããªã¯ãæµ·é³¥ã®äžçš®ã§ãéçã®ç¶æ
ã§çæ¯ããŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã©ã®åç©ã家çãéçããèå¥ããïŒãã§ã¬ããããªãªããºãã®ããª
### å¿ç
|
ãã¬ãã£ã¯ã¹ããã¡ããŒãã2æ³è¥ãã§ããã¹ããã¡ããŒã¯ä»äºã®4åã§ããä»äºã5ã®å Žåããã¬ãã£ã¯äœæ³ã§ããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
job_age = 5
stephany_age = job_age * 4
freddy_age = stephany_age - 2
freddy_age
</llm-code><llm-code-output>
18
</llm-code-output>
ãããã£ãŠããã¬ãã£ã¯\\Boxed{18}幎霢ã§ãã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
# Freddie is 2 years younger than Stephanie
freddie_age = 2
# Stephanie is 4 times Freddie's age
stephanie_age = freddie_age * 4
# Freddie works 5 times as much as Stephanie
freddie_works = 5 * stephanie_age
freddie_works
</llm-code><llm-code-output>
100
</llm-code-output>
ãããã£ãŠããã¬ãã£ã¯\\ boxed {100}幎霢ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã¬ãã£ã¯ã¹ããã¡ããŒãã2æ³è¥ãã§ããã¹ããã¡ããŒã¯ä»äºã®4åã§ããä»äºã5ã®å Žåããã¬ãã£ã¯äœæ³ã§ããïŒ
### å¿ç
|
ããžã¹ãã£ãã¯ååž°ã¯äœã«äœ¿ãã? | null | ããžã¹ãã£ãã¯ååž°åæã¯ã確ççãªäºå€åé¡ãè¡ãéã«äœ¿çšãããŸããã€ãŸããå¿çå€æ°ïŒã¿ãŒã²ããïŒã2ã€ã®ã«ããŽãªãŒïŒäŸãã°ã0ããã1ããã倱æãããæåãããç
æ°ã§ã¯ãªããããç
æ°ã§ããããªã©ïŒã®ããããã§ããåé¡ã«å¯ŸããŠäœ¿ãããææ³ã§ããããã¯ãå€ãã®åéã§å¿çšå¯èœã§ãå»åŠç 究ã瀟äŒç§åŠãããŒã±ãã£ã³ã°ãªã©å¹
åºãåéã§äœ¿çšãããŸãã以äžã«ããã€ãã®äŸã瀺ããŸãïŒ
1. **å»çç 究**: ç
æ°ã®ãªã¹ã¯ã®äºæž¬ã®ããã«äœ¿çšãããŸããäŸãã°ãç¹å®ã®å åãããç
æ°ã®çºçãäºæž¬ããå Žåãããžã¹ãã£ãã¯ååž°ã¯ããã®å åããã®ç
æ°ã®ãªã¹ã¯ãé«ãããã©ãããåæããã®ã«åœ¹ç«ã¡ãŸãã
2. **瀟äŒç§åŠ**: éžæã®æ祚è¡åã説æããããã«äœ¿çšãããããšããããŸããã©ã®ãããªäººã
ãç¹å®ã®åè£è
ã«æ祚ããåŸåãããããåæããããã«ã瀟äŒçµæžçãªèæ¯ãä¿¡æ¡ãªã©ã®èŠå ãèæ
®ã«å
¥ããããšãã§ããŸãã
3. **ããŒã±ãã£ã³ã°**: 顧客ã補åã賌å
¥ãããã©ãããäºæž¬ããããã«äœ¿çšãããããšããããŸãã顧客ã®å±æ§ïŒå¹Žéœ¢ãæ§å¥ãæåŸãªã©ïŒãããŒã±ãã£ã³ã°æŠç¥ïŒåºåã®çš®é¡ããã£ã³ããŒã³ã®å
容ïŒãšãã£ãèŠå ã顧客ã®è³Œå
¥æ欲ã«äžãã圱é¿ãåæã§ããŸãã
ããžã¹ãã£ãã¯ååž°åæã¯ãå€å€é解æã®äžçš®ã§ãããç¬ç«å€æ°ïŒç¹åŸŽïŒã®æ°ã2ã€ä»¥äžããå Žåã«ã䜿çšã§ããŸããããã«ãããè€æ°ã®èŠå ãçµæã«äžãã圱é¿ãåæã«åæããããšãå¯èœã§ãã | ããžã¹ãã£ãã¯ååž°ã¯ã2ã€ã®ã«ããŽãªãŒéã®é¢ä¿ãã¢ãã«åããããã«äœ¿çšãããŸããäŸãã°ããã補åã®å£²äžãšããã®è£œåã®äŸ¡æ Œãšã®é¢ä¿ãã¢ãã«åããããšãã§ããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããžã¹ãã£ãã¯ååž°ã¯äœã«äœ¿ãã?
### å¿ç
|
ããŒã©ã¯ã圌女ã®å®¶ã®3ã€ã®çªã®çªã®æ²»çã賌å
¥ããå¿
èŠããããŸãã圌女ã¯ãåãŠã£ã³ããŠã«äžé£ã®ã·ãŒãºãšãã¬ãŒãã®ã»ããã賌å
¥ããå¿
èŠããããŸããã·ã¢ãŒã¯ãã¢ããã40.00ãã«ã§ããã¬ãŒãã¯ãã¢ããã60.00ãã«ããããŸããçªã®åŠçã«ã¯ãããããããŸããïŒ | null | <llm-code>
sheers_cost = 40.0
drapes_cost = 60.0
number_of_windows = 3
total_cost = sheers_cost * number_of_windows + drapes_cost * number_of_windows
total_cost
</llm-code><llm-code-output>
300.0
</llm-code-output>
ãããã£ãŠããŠã£ã³ããŠããªãŒãã¡ã³ãã®ç·ã³ã¹ãã¯\\ boxed {300}ãã«ã§ãã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
# let's denote the number of windows as n
n = 3
# let's denote the cost of each pair of sheers as x
x = 60
# let's denote the cost of each pair of shadings as y
y = 40
# let's denote the total cost of the window treatments as z
z = n * (x + y)
z
</llm-code><llm-code-output>
180
</llm-code-output>
ãããã£ãŠãããŒã©ã¯çªã®åŠçã«\\ boxed {180}ãã«ãæ¯æããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããŒã©ã¯ã圌女ã®å®¶ã®3ã€ã®çªã®çªã®æ²»çã賌å
¥ããå¿
èŠããããŸãã圌女ã¯ãåãŠã£ã³ããŠã«äžé£ã®ã·ãŒãºãšãã¬ãŒãã®ã»ããã賌å
¥ããå¿
èŠããããŸããã·ã¢ãŒã¯ãã¢ããã40.00ãã«ã§ããã¬ãŒãã¯ãã¢ããã60.00ãã«ããããŸããçªã®åŠçã«ã¯ãããããããŸããïŒ
### å¿ç
|
1ãã³ãã®éŒéãš1ãã³ãã®çŸœæ¯ã¯ã©ã¡ããéãã§ããïŒ | null | ã©ã¡ããåãéãã1ãã³ãã§ãã | 1ãã³ãã®éŒéãš1ãã³ãã®çŸœæ¯ã¯åãéãã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
1ãã³ãã®éŒéãš1ãã³ãã®çŸœæ¯ã¯ã©ã¡ããéãã§ããïŒ
### å¿ç
|
以äžã®ã¡ãŒã«ãžã®è¿ä¿¡ãäœæããŠãã ãããè¿ä¿¡ã¯ã¡ãŒã«ãšåããããªããŒã³ã§ãé¡ãããŸãã
"
å·®åºäºº: me@en.co
å®å
: friend@en.co
件åã¢ããªã«...
CcïŒ
BccïŒ
æ¥ä»Mon, 15 May 2000 08:19:00 -0700 (PDT)
ããã«ã¡ã¯ãããŒã¯ãã¢ããªã«æ»åšäžã®æ»åšå
ã«ã€ããŠãæ
çšãå°ãå€æŽã«ãªã£ãŠããŸãã
ã¢ããªã«æ»åšäžã®æ»åšå
ã«é¢ããŠãæ
çšãå°ãå€æŽã«ãªããŸãã
ææ°æ
å ±ãå
¥æ次第ã転éããŸããããããä»é±åŸåã«ãªãããš...ã
ãã ãããªããã¿ã³ã¶ãã¢ã®ãã¶ãååŸããå¿
èŠãªäºé²æ¥çš®ãåããŠããããšã確èªãããã£ãã ãã§ãã
ãããŠå¿
èŠãªäºé²æ¥çš®ãåããããšã
æ°ããä»äºãããã§ãšãã
ãã°ããæ»åšãããšããããšã§ããïŒ
åå
" | null | ã·ã§ãªãŒãžã
ä»åºŠã®ã¢ããªã«æ
è¡ã®æ
çšã®å€æŽã«ã€ããŠãå ±åããã ãããããšãããããŸãããŸããææ°æ
å ±ãå
¥æå¯èœã«ãªããŸãããããé£çµ¡ããåŸ
ã¡ããŠãããŸãã
ã¿ã³ã¶ãã¢ã®ãã¶ãå¿
èŠãªäºé²æ³šå°ã«ã€ããŠã¯ããã§ã«æç¶ããå§ããŠãããæ
è¡åã«ãã¹ãŠæŽããŠããã€ããã§ãããã®éèŠæ§ãåèªèãããŠããã ããããããšãããããŸããã
ãŸããç§ã®æ°ããä»äºã«ã€ããŠæž©ãããèšèãããã ããããããšãããããŸãããã®æ©äŒã«è奮ããŠããŸãããçããã®ãµããŒãã«æè¬ããŠããŸãã
ããæ
ã«å¿
èŠãªæºåããããŸãããããç¥ãããã ãããããªãã®å°éç¥èãä¿¡é Œãããæå°ã«æè¬ããããŸãã
æ¹ããŸããŠãã¢ããªã«æ
è¡ãžã®ãååããããšãããããŸããããŸãé£çµ¡ããŸãã
ãããããé¡ãããŸãã
ããŒã¯ | ããã«ã¡ã¯ãããŒã¯ãã¢ããªã«æ»åšäžã®æ»åšå
ã«ã€ããŠãæ
çšãå°ãå€æŽã«ãªã£ãŠããŸãã
ææ°æ
å ±ãå
¥æ次第ã転éããŸããããããä»é±åŸåã«ãªãããš...ã
ãã ãããªããã¿ã³ã¶ãã¢ã®ãã¶ãååŸããå¿
èŠãªäºé²æ¥çš®ãåããŠããããšã確èªãããã£ãã ãã§ãã
ãããŠå¿
èŠãªäºé²æ¥çš®ãåããããšã
æ°ããä»äºãããã§ãšãã
ãã°ããæ»åšãããšããããšã§ãã? | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
以äžã®ã¡ãŒã«ãžã®è¿ä¿¡ãäœæããŠãã ãããè¿ä¿¡ã¯ã¡ãŒã«ãšåããããªããŒã³ã§ãé¡ãããŸãã
"
å·®åºäºº: me@en.co
å®å
: friend@en.co
件åã¢ããªã«...
CcïŒ
BccïŒ
æ¥ä»Mon, 15 May 2000 08:19:00 -0700 (PDT)
ããã«ã¡ã¯ãããŒã¯ãã¢ããªã«æ»åšäžã®æ»åšå
ã«ã€ããŠãæ
çšãå°ãå€æŽã«ãªã£ãŠããŸãã
ã¢ããªã«æ»åšäžã®æ»åšå
ã«é¢ããŠãæ
çšãå°ãå€æŽã«ãªããŸãã
ææ°æ
å ±ãå
¥æ次第ã転éããŸããããããä»é±åŸåã«ãªãããš...ã
ãã ãããªããã¿ã³ã¶ãã¢ã®ãã¶ãååŸããå¿
èŠãªäºé²æ¥çš®ãåããŠããããšã確èªãããã£ãã ãã§ãã
ãããŠå¿
èŠãªäºé²æ¥çš®ãåããããšã
æ°ããä»äºãããã§ãšãã
ãã°ããæ»åšãããšããããšã§ããïŒ
åå
"
### å¿ç
|
ç§ã®ã³ã³ãã¥ãŒã¿ãŒã¯ã¯ã©ãã·ã¥ãç¶ããŠããŸããç§ã¯ã³ã³ãã¥ãŒã¿ãŒã«ã€ããŠããŸã詳ãããªãã®ã§ãã©ããããããã®ãããããŸãããå©ããŠãããŸãããïŒ | null | ããã¯æ®å¿µã ïŒåãã§ãæäŒããããŠããã ããŸãããŸããããªãã®ã圹ã«ç«ãŠããããããªãã®ã³ã³ãã¥ãŒã¿ãŒã«é¢ããæ
å ±ãå¿
èŠã§ãã
1.ã䜿ãã®ã³ã³ãã¥ãŒã¿ãŒã®çš®é¡ã¯ïŒMacãPCãLinuxïŒ
2.ã䜿ãã®ã³ã³ãã¥ãŒã¿ãŒã®å¹ŽåŒã¯ïŒ
3.ã³ã³ãã¥ãŒã¿ãã¯ã©ãã·ã¥ããçŽåã«äœãç¹å¥ãªããšãèµ·ããŠããŸããïŒäŸãã°ããªãœãŒã¹ã倧éã«æ¶è²»ããã²ãŒã ãèµ·åããŠãããããã©ãŠã¶ãŒãéããŠãããããããã¯äœãä»ã®ããšãç¹°ãè¿ããŠãããïŒ
ãããã®è³ªåã«ãçãããã ãããšã§ãã³ã³ãã¥ãŒã¿ãŒãã¯ã©ãã·ã¥ããã®ãé²ãããã«ã©ã®ãããªå¯ŸåŠãããã°ããããããè¯ãã¢ã€ãã¢ãåŸãããŸãã | ããã«ã¡ã¯ã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ç§ã®ã³ã³ãã¥ãŒã¿ãŒã¯ã¯ã©ãã·ã¥ãç¶ããŠããŸããç§ã¯ã³ã³ãã¥ãŒã¿ãŒã«ã€ããŠããŸã詳ãããªãã®ã§ãã©ããããããã®ãããããŸãããå©ããŠãããŸãããïŒ
### å¿ç
|
åã®ã»ãã·ã§ã³ã§éå§ããäœæ¥ãç¶ç¶ããã«ã¯ãLTM(Long Term Memory)ãšãŒãžã§ã³ãã«ãªã¯ãšã¹ããæžã蟌ãããšãã§ããŸããLTMãšãŒãžã§ã³ãã¯ãã»ãã·ã§ã³éã§äœæããã³ã³ãã³ãã远跡ããŸããLTM Agentãšã®ãããšãã¯2ã€ã ãã§ã: - [STOREãäžæã®èå¥åæååã] [Content string]ã¯ãæå®ãããäžæã®èåæååãšãšãã«ãæå®ãããã³ã³ãã³ãæååãä¿åããŸããäžæã®èªèåæååãåããŠäœ¿çšãããå ŽåãLTM Agentã¯[è¿œå ]ãšåçãããã以å€ã®å Žåã[æŽæ°]ãšåçããŸãã - [RESTOREãäžçŸ©ã®èå¥ååã]ã¯ãäžããããäžæã®åºå¥åæååã«é¢é£ããã³ã³ãã³ãæååã埩å
ããŸããL TM Agentã¯ãã³ã³ãã³ãæåå(ããããã°)ã衚瀺ããŸããL T M Agentãžã®æ¬¡ã®ãªã¯ãšã¹ãããå§ããããšãã§ããŸã:[RESTORE ãç®çã] L T M Agentãå¿çãããã次ã®ãªã¯ãšã¹ããæžããŸãã | null | [STORE "user_id98765" "session_started: true"]
[RESTORE "user_id98765"]
[STORE "user_id98765" "last_action: started conversation"]
ãã®ã³ãŒãã¯ãæåã«ãŠãŒã¶ãŒã®äžæã®èå¥åïŒuser_id98765ïŒãšãšãã«ã»ãã·ã§ã³ãéå§ãããããšãLTMãšãŒãžã§ã³ãã«ä¿åããŸãã次ã«ãåãèå¥åã䜿çšããŠä¿åãããã³ã³ãã³ãïŒãã®å Žåãsession_started: trueïŒã埩å
ããŸãããããŠæåŸã«ãã»ãã·ã§ã³ãéå§ããããšïŒlast_action: started conversationïŒãè¿œå ã§ä¿åããŸãã | LTMãšãŒãžã§ã³ããžã®æ¬¡ã®ãªã¯ãšã¹ãã¯ã[RESTOREãç®çã]ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
åã®ã»ãã·ã§ã³ã§éå§ããäœæ¥ãç¶ç¶ããã«ã¯ãLTM(Long Term Memory)ãšãŒãžã§ã³ãã«ãªã¯ãšã¹ããæžã蟌ãããšãã§ããŸããLTMãšãŒãžã§ã³ãã¯ãã»ãã·ã§ã³éã§äœæããã³ã³ãã³ãã远跡ããŸããLTM Agentãšã®ãããšãã¯2ã€ã ãã§ã: - [STOREãäžæã®èå¥åæååã] [Content string]ã¯ãæå®ãããäžæã®èåæååãšãšãã«ãæå®ãããã³ã³ãã³ãæååãä¿åããŸããäžæã®èªèåæååãåããŠäœ¿çšãããå ŽåãLTM Agentã¯[è¿œå ]ãšåçãããã以å€ã®å Žåã[æŽæ°]ãšåçããŸãã - [RESTOREãäžçŸ©ã®èå¥ååã]ã¯ãäžããããäžæã®åºå¥åæååã«é¢é£ããã³ã³ãã³ãæååã埩å
ããŸããL TM Agentã¯ãã³ã³ãã³ãæåå(ããããã°)ã衚瀺ããŸããL T M Agentãžã®æ¬¡ã®ãªã¯ãšã¹ãããå§ããããšãã§ããŸã:[RESTORE ãç®çã] L T M Agentãå¿çãããã次ã®ãªã¯ãšã¹ããæžããŸãã
### å¿ç
|
ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ãšã¯ | null | ãžã§ã€ã ãºã»ãŠã§ããå®å®æé é¡ïŒJWSTïŒã¯èµ€å€ç·å€©æåŠçšã®å®å®æé é¡ã§ãçŸåšå®å®ã§æ倧ã®å
åŠæé é¡ã§ãããç±³åœèªç©ºå®å®å±ïŒNASAïŒã欧å·å®å®æ©é¢ïŒESAïŒãã«ããå®å®åºïŒCSAïŒãšå
±åã§éçºã2021幎12æ25æ¥ã«ãã©ã³ã¹é ã®ã¢ãã®ã¯ãŒã«ãŒããã¢ãªã¢ã³5ãã±ããã§æã¡äžãããã2022幎1æã«å€ªéœ-å°çã©ã°ã©ã³ãžã¥2ç¹ãåšåãããããŒè»éã«å°çãããæåã®ç»åã¯2022幎7æ11æ¥ã«å
¬éããããçŸåšã®å°äžæé é¡ãå®å®æé é¡ã§ã¯èŠ³æž¬ãå°é£ãªè¿ã»äžéèµ€å€ç·åž¯ãåŸæãšããé«èµ€æ¹å移倩äœãå¯å·å€©äœã塵ã«èŠããã倩äœãªã©ããããã芳枬ã§ãããNASAã®äºæ³ç涯ã³ã¹ãã¯97åãã«ã§ãå®å®è¹ã®èšèšãšéçºã«88åãã«ã5幎éã®ããã·ã§ã³éçšã«8å6,100äžãã«ãè²»ããããäºå®ã§ãããESAãšCSAã®ä»£è¡šã¯ãããããçŽ7åãŠãŒããš2åã«ãããã«ãæ åºãããšè¿°ã¹ãã
äž»ãªç®æšã¯ä»¥äžã®éãïŒ
- ããã°ãã³åŸã®æãåæã®æãéæ²³ã®å
ãæ¢çŽ¢ããã
- éæ²³ã®åœ¢æãšé²åã®ç 究
- ææãšææã®åœ¢æã®ç 究
- ææç³»ãšçåœã®èµ·æºã®ç 究
èµ€å€ç·ã¹ãã¯ãã«ãç 究ããããã«ã¯ãæé é¡ã50K以äžã«ä¿ã€å¿
èŠããããæé é¡ã¯5å±€ã®14.162mÃ69.54mã®ãµã³ã·ãŒã«ããåãã倪éœå°çL2ä»è¿ã§éçšãããããããµã³ã·ãŒã«ãã¯åžžã«åãåŽã«ãã倪éœãå°çãæããã®æŸå°ãé®ãããšãã§ããããµã³ã·ãŒã«ãã®åå±€ã¯ãã¢ã«ãããŠã ã§ã³ãŒãã£ã³ã°ãããã«ããã³Eãã£ã«ã ã§ã§ããŠãããæãé«æž©ã®2ã€ã®å±€ã®å€ªéœã«é¢ããåŽã«ã¯ãæŸå°ç·ãå®å®ç©ºéã«åå°ãããããã®ããŒãã·ãªã³ã³å±€ãè¿œå ãããŠãããã¢ãªã¢ã³5ãã±ããã®ãã€ããŒããã§ã¢ãªã³ã°ã«åããã«ã¯ããµã³ã·ãŒã«ãã12åæãç³ãå¿
èŠãããã
JWSTã®å
åŠèšèšã¯3ãã©ãŒã¢ãã¹ãã£ã°ãããã§ãããäž»é¡ã¯çŽåŸ6.5mã®éã³ãŒãã£ã³ã°ãããããªãªãŠã åå°é¡ã§ã18åã®å
è§åœ¢ã®ã»ã°ã¡ã³ãããæ§æãããæã¡äžãåã«æãç³ãããšãã§ãã132åã®ã¢ã¯ãã¥ãšãŒã¿ã§10ããã¡ãŒãã«ã®ç²ŸåºŠã§èª¿æŽããããšãã§ãããJWSTã®æ£é¢ã«ããå¯é¡ã®çŽåŸã¯0.74mãäž»é¡ã»ã°ã¡ã³ãã®åæã¹ãã€ã¯ãšå¯é¡ãæ¯ããã¹ãã€ããŒããåçã«åã£ãŠããåãã6ã¹ãã€ã¯ïŒ2ãã§ã€ã³ã¿ãŒã¯ã³ãã®å€§éšåã«å¯äžããŠããã
JWSTã®çµ±åç§åŠèŠ³æž¬è£
眮ã¢ãžã¥ãŒã«ïŒISIMïŒã«ã¯ã以äžã®4ã€ã®ç§åŠèŠ³æž¬è£
眮ãæèŒãããŠããïŒ
- è¿èµ€å€ç·ã«ã¡ã©ïŒNIRCamïŒãå¯èŠåã®ç«¯ïŒ0.6ÎŒmïŒããè¿èµ€å€åïŒ5ÎŒmïŒãŸã§ãã«ããŒããèµ€å€ç·ã€ã¡ãŒãžã£ãäž»é¡ã®ã¢ã©ã€ã¡ã³ããšãã©ãŒã«ã·ã³ã°ã«ã䜿çšãããã
- è¿èµ€å€ç·åå
åšïŒNIRSpecïŒãNIRCamã®æ³¢é·åã3ã€ã®ç°ãªã芳枬ã¢ãŒãã§åå
ããã
- äžéèµ€å€åå
åšïŒMIRIïŒãäžèµ€å€ç·ã«ã¡ã©ãšã€ã¡ãŒãžã³ã°åå
åšãæèŒãããŠãããããªãŠã ã¬ã¹ã®æ©æ¢°åŒå·åŽåšã«ããã枩床ã¯6K以äžã«ä¿ãããŠããã
- FGS/NIRISSïŒãã¡ã€ã³ã¬ã€ãã»ã³ãµã»è¿èµ€å€ç·æ®åã»ã¹ãªããã¬ã¹åå
åšïŒãFGSã¯ãµã€ãšã³ã¹èŠ³æž¬æã«èŠ³æž¬è£
眮ã®èŠç·ãå®å®ãããããã«äœ¿çšãããNIRISSã¯0.8ÎŒmãã5ÎŒmã®æ³¢é·åã®å€©æã€ã¡ãŒãžã³ã°ãšåå
芳枬ã®ããã«äœ¿çšãããã | ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡(James Webb Space Telescope)ã¯ãNASAãéçšããå®å®æé é¡ã§ã2021幎12æ25æ¥ã«æã¡äžããããããã®æé é¡ã¯ãå®å®ã®èŠ³æž¬ãšç 究ãç®çãšããŠãããå®å®ã®èµ·æºãšé²åã®è§£æãçåœã®èµ·æºãšé²åã®è§£æãå®å®ã®å€§èŠæš¡æ§é ã®è§£æãªã©ãããŸããŸãªç§åŠçç®æšãéæããããšãç®æããŠããã
ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ã¯ããããã«å®å®æé é¡ã®åŸç¶æ©ãšããŠèšèšãããŠããããã®äž»ãªç¹åŸŽã¯ä»¥äžã®éãã§ãã:
1. **å®å®ã®èŠ³æž¬**: ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ã¯ãå®å®ã®èŠ³æž¬ãšç 究ãç®çãšããŠãããå®å®ã®èµ·æºãšé²åã®è§£æãçåœã®èµ·æºãšé²åã®è§£æãå®å®ã®å€§èŠæš¡æ§é ã®è§£æãªã©ãããŸããŸãªç§åŠçç®æšãéæããããšãç®æããŠããã
2. **å®å®ã®èµ·æºãšé²åã®è§£æ**: ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ã¯ãå®å®ã®èµ·æºãšé²åã®è§£æã«éèŠãªåœ¹å²ãæããããã®æé é¡ã¯ãå®å®ã®èªçããçŸåšãŸã§ã®é²åã解æããäžã§éèŠãªåœ¹å²ãæããã
3. **çåœã®èµ·æºãšé²åã®è§£æ**: ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ã¯ãçåœã®èµ·æºãšé²åã®è§£æã«ãéèŠãªåœ¹å²ãæããããã®æé é¡ã¯ãå°çå€çåœäœã®æ¢çŽ¢ããçåœã®èµ·æºãšé²åã®è§£æã«éèŠãªåœ¹å²ãæããã
4. **å®å®ã®å€§èŠæš¡æ§é ã®è§£æ**: ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ã¯ãå®å®ã®å€§èŠæš¡æ§é ã®è§£æã«ãéèŠãªåœ¹å²ãæããããã®æé é¡ã¯ãå®å®ã®å€§èŠæš¡æ§é ã®åœ¢æãšé²åã解æããäžã§éèŠãªåœ¹å²ãæããã
5. **å®å®ã®é²åã®è§£æ**: ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ã¯ãå®å®ã®é²åã®è§£æã«ãéèŠãªåœ¹å²ãæããããã®æé é¡ã¯ãå®å®ã®é²åã®è§£æã«éèŠãªåœ¹å²ãæããã
ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ã¯ãå®å®ã®èŠ³æž¬ãšç 究ã«ãããŠéèŠãªåœ¹å²ãæããããã®æé é¡ã¯ãå®å®ã®èµ·æºãšé²åã®è§£æãçåœã®èµ·æºãšé²åã®è§£æãå®å®ã®å€§èŠæš¡æ§é ã®è§£æãªã©ãããŸããŸãªç§åŠçç®æšãéæããããšãç®æããŠããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãžã§ãŒã ã¹ã»ãŠã§ããæé é¡ãšã¯
### å¿ç
|
äžããããCSVããŒã¿ãããç¹å®ã®ååãæã€åã®ã¿ãæœåºããæ°ããCSVãã¡ã€ã«ã«æžãåºãPythonã³ãŒããäœæããŠãã ããã | ```python
import csv
# å
ã®CSVããŒã¿
input_csv = 'data.csv'
# æ°ããCSVãã¡ã€ã«
output_csv = 'new_data.csv'
# æœåºãããåå
target_column = 'score'
``` | ```python
import csv
input_csv = 'data.csv'
output_csv = 'new_data.csv'
target_column = 'score'
# ããããŒãå«ãè¡ãèªã¿èŸŒã
with open(input_csv, 'r') as f:
reader = csv.reader(f)
header = next(reader)
# ããããŒå
ã®ååããªã¹ãã«ä¿å
columns = header
# ããããŒå
ã®ååãšäžèŽããåã®ã¿ãæœåº
index = columns.index(target_column)
with open(output_csv, 'w') as f:
writer = csv.writer(f)
writer.writerow(header)
with open(input_csv, 'r') as f:
for line in reader:
writer.writerow([line[index]])
``` | ```python
import csv
# å
ã®CSVããŒã¿
input_csv = 'data.csv'
# æ°ããCSVãã¡ã€ã«
output_csv = 'new_data.csv'
# æœåºãããåå
target_column = 'score'
# CSVããŒã¿ã®èªã¿èŸŒã¿
with open(input_csv, 'r') as input_file:
reader = csv.DictReader(input_file)
# æœåºãããåã®ã¿ãæœåº
with open(output_csv, 'w', newline='') as output_file:
fieldnames = [column[0] for column in reader.fieldnames]
writer = csv.DictWriter(output_file, fieldnames=fieldnames)
# æ°ããCSVãã¡ã€ã«ã«æžã蟌ã¿
writer.writeheader()
for row in reader:
writer.writerow({column[0]: row[column[0]] for column in reader.fieldnames})
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããCSVããŒã¿ãããç¹å®ã®ååãæã€åã®ã¿ãæœåºããæ°ããCSVãã¡ã€ã«ã«æžãåºãPythonã³ãŒããäœæããŠãã ããã
### å
¥å
```python
import csv
# å
ã®CSVããŒã¿
input_csv = 'data.csv'
# æ°ããCSVãã¡ã€ã«
output_csv = 'new_data.csv'
# æœåºãããåå
target_column = 'score'
```
### å¿ç
|
次ã®ã¿ã¹ã¯ã«å¯Ÿããåèšæéãèšç®ããŠãã ããã | - ã¿ã¹ã¯1ïŒ50å
- ã¿ã¹ã¯2ïŒ60å
- ã¿ã¹ã¯3ïŒ30å
- ã¿ã¹ã¯4ïŒ90å | ã¿ã¹ã¯1ããã¿ã¹ã¯4ãŸã§ã®åèšæéã¯ãããããã®ã¿ã¹ã¯ã®æéããã¹ãŠåèšããããšã§æ±ããããšãã§ããŸãããã®ããã以äžã®åŒã«ããèšç®ããŸãã
åèšæé = ã¿ã¹ã¯1 + ã¿ã¹ã¯2 + ã¿ã¹ã¯3 + ã¿ã¹ã¯4
åèšæé = 50å + 60å + 30å + 90å
åã¿ã¹ã¯ã®æéãåèšãããšãåèšæéã¯230åãšãªããŸãã
| åèšæéã¯150åã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®ã¿ã¹ã¯ã«å¯Ÿããåèšæéãèšç®ããŠãã ããã
### å
¥å
- ã¿ã¹ã¯1ïŒ50å
- ã¿ã¹ã¯2ïŒ60å
- ã¿ã¹ã¯3ïŒ30å
- ã¿ã¹ã¯4ïŒ90å
### å¿ç
|
é¡ããããã«ããæ¹æ³ã«ã€ããŠæã㊠| null | é¡ããããã«ããæ¹æ³ã«ã€ããŠã以äžã«ããã€ãã®æ¹æ³ãã玹ä»ããŸãã
## æŽé¡
ããããªèãæã«å
¥ããããã«ã¯ãæŽé¡ã¯éåžžã«éèŠã§ããæŽé¡æã䜿ã£ãŠé¡ãæŽãããšã§ãç®èãæ±ãæ±ããªã©ãé€å»ããããšãã§ããŸãããã ããæŽãããããšèã«å¿
èŠãªç®èãŸã§åãé€ããŠããŸãããã1æ¥2åïŒæãšå€ïŒãé©åã§ãã
## ä¿æ¹¿
èã®ä¹Ÿç¥ã¯ãèã®ãã¡ãä¹±ãåå ã®äžã€ã§ãããã®ãããæŽé¡åŸã也ç¥ãæ°ã«ãªããšãã¯ãä¿æ¹¿ã¯ãªãŒã ãããŒã·ã§ã³ã䜿ã£ãŠãèã«ååãªæ°Žåãšæ²¹åãè£çµŠããŸãããã
## æ¥çŒãæ¢ã
玫å€ç·ã¯ãèã®èåãã·ããã·ã¯ã®åå ãšãªããŸãããã®ãããå€åºæã«ã¯æ¥çŒãæ¢ãã¯ãªãŒã ã䜿çšãã玫å€ç·ããèãå®ããŸãããã
## é£ç掻ã®æ¹å
å
åŽããèãæŽããããã«ã¯ãé£äºã倧åã§ãããã¿ãã³ãããã©ã«ãããã±ã質ãªã©ãååã«æåããæ²¹ã£ããé£äºãç³åã®æãããã«ã¯æ³šæããŸãããã
## ååãªç¡ç
ç¡ç äžè¶³ã¯ãèã®ç¶æ
ãæªåãããåå ã®äžã€ã§ããååãªç¡ç ããšãããšã§ãæé·ãã«ã¢ã³ãåæ³ãããèã®æ°é³ä»£è¬ãä¿é²ããŸãã
以äžã®æ¹æ³ãåèã«ããŠãããããªèãæã«å
¥ããŸãããã | é¡ããããã«ããæ¹æ³ã¯ã以äžã®ã¹ãããã«åŸã£ãŠè¡ã£ãŠãã ããã
1. æŽé¡: é¡ãæŽãåã«ããŸãæãæŽããé¡ã湿ãããŸããæŽé¡æã泡ç«ãŠãé¡å
šäœãåªããæŽããŸãã
2. ããã: æŽé¡æãæ®ããªãããã«ãååã«ããããŸãã
3. ä¿æ¹¿: æŽé¡åŸã¯ãå粧氎ã乳液ã§èãä¿æ¹¿ããŸãã
4. æ¥çŒãæ¢ã: å€åºæã«ã¯ãæ¥çŒãæ¢ããå¡ãããšã§ã玫å€ç·ããèãå®ããŸãã
5. ã¡ã€ã¯: ã¡ã€ã¯ãããå Žåã¯ããã¡ã³ããŒã·ã§ã³ãã³ã³ã·ãŒã©ãŒã§èãæŽããŸãã
6. ãã¢ã¹ã¿ã€ã«: ãã¢ã¹ã¿ã€ã«ãæŽããããšã§ãé¡ã®å°è±¡ãè¯ãããŸãã
7. ãããµãŒãž: é¡ã®çèãã»ããããšã§ãè¡è¡ãä¿é²ããããã¿ãããã¿ã解æ¶ããŸãã
8. è¡šæ
çãã¬ãŒãã³ã°: é¡ã®çèãéããããšã§ãè¡šæ
ãè±ãã«ããè¥ã
ããå°è±¡ãäžããŸãã
9. ãããµãŒãž: é¡ã®çèãã»ããããšã§ãè¡è¡ãä¿é²ããããã¿ãããã¿ã解æ¶ããŸãã
10. ä¿æ¹¿: é¡ã®æ°Žåãéãããªãããã«ãä¿æ¹¿ã¯ãªãŒã ãããŒã·ã§ã³ã§èãä¿æ¹¿ããŸãã
ãããã®ã¹ããããæ¯æ¥è¡ãããšã§ãé¡ããããã«ä¿ã¡ãè¥ã
ããå°è±¡ãäžããããšãã§ããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
é¡ããããã«ããæ¹æ³ã«ã€ããŠæããŠ
### å¿ç
|
(-2,4)ãš(3,-8)ã®éã®è·é¢ã¯ããããïŒ | null | Pythagoreanå®çã䜿çšããŠã2ã€ã®ãã€ã³ãéã®è·é¢ãèšç®ããŸãããã
Pythagoreanã®å®çã¯ãå³è§ã®äžè§åœ¢ã§ã¯ãhypotenuseã®é·ãã®æ£æ¹åœ¢ã¯ä»ã®äž¡åŽã®æ£æ¹åœ¢ã®åèšã«çãããšè¿°ã¹ãŠããŸãã
ãã®å Žåããã€ã³ãã¯ã$ïŒ-2,4ïŒ$ãçŽè§ãšããŠå³åŽã®äžè§åœ¢ã圢æããŸãã
ãããã£ãŠãæ¹çšåŒã¯$ d^2 =ïŒx_2 -x_1ïŒ^2 +ïŒy_2 -y_1ïŒ^2 $ã§ãã
Sympyã䜿çšããŠè§£æ±ºã§ããŸãã<llm-code>
from sympy import symbols, sqrt
x1, y1 = -2, 4
x2, y2 = 3, -8
x_diff = x2 - x1
y_diff = y2 - y1
dist = sqrt(x_diff**2 + y_diff**2)
dist
</llm-code><llm-code-output>
13
</llm-code-output>
è·é¢ã¯$ \\ boxed {13} $ã§ãã | 2ã€ã®ãã€ã³ãéã®è·é¢ã¯ã2ã€ã®ãã€ã³ãã®åº§æšã®å·®ã®2ä¹ã®å¹³æ¹æ ¹ã§ãã
ãããã£ãŠã2ã€ã®ãã€ã³ãéã®è·é¢ã¯ã$(-2-3)^2 = 16 $ã§ãã
ãããã£ãŠã2ã€ã®ãã€ã³ãéã®è·é¢ã¯\\ boxed {16}ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
(-2,4)ãš(3,-8)ã®éã®è·é¢ã¯ããããïŒ
### å¿ç
|
4. 次ã®SQLæã䜿çšããŠRetrieveããããŒã¿ãCSVãã¡ã€ã«ã«æžãåºãPythoné¢æ°ãèšè¿°ããŠãã ããã`SELECT * FROM employees;` | "SELECT * FROM employees;" | ```python
import csv
import sqlite3
def write_to_csv(query):
conn = sqlite3.connect('my_database.db')
cursor = conn.cursor()
cursor.execute(query)
rows = cursor.fetchall()
with open('employees.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
writer.writerows(rows)
conn.close()
write_to_csv("SELECT * FROM employees;")
``` | ```python
import csv
def export_to_csv(query):
with open('employees.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
writer.writerows(query)
query = "SELECT * FROM employees;"
export_to_csv(query)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
4. 次ã®SQLæã䜿çšããŠRetrieveããããŒã¿ãCSVãã¡ã€ã«ã«æžãåºãPythoné¢æ°ãèšè¿°ããŠãã ããã`SELECT * FROM employees;`
### å
¥å
"SELECT * FROM employees;"
### å¿ç
|
ããŒãºã±ãŒãã®ã¬ã·ããæããŠãã ãã | null | 以äžã«ãåºæ¬çãªããŒãºã±ãŒãã®ã¬ã·ããã玹ä»ããŸãã
ææ:
- ã¯ãªãŒã ããŒãº (250g)
- ã°ã©ãã¥ãŒç³ (50g)
- åµ (2å)
- çã¯ãªãŒã (200ml)
- ã¬ã¢ã³æ± (倧ãã1)
- å°éºŠç² (倧ãã1)
- ãµã¯ãŒã¯ãªãŒã (倧ãã1)
- ããã©ãšãã»ã³ã¹ (å°ãã1/2)
- ãã¹ã±ãã (150g) (åºã ãã«äœ¿çš)
- 溶ãããã¿ãŒ (75g)
1. ãªãŒãã³ã180床ã«äºç±ããã±ãŒãåã«ãã¿ãŒãšå°éºŠç²ãèãå¡ã£ãŠãããŸãããã¹ã±ããããããŒã«è¢ã«å
¥ããŠã麺æ£ãªã©ã§çŽ°ããç ãã溶ãããã¿ãŒãšæ··ãåãããåã®åºã«æ·ããŸãã
2. ã¯ãªãŒã ããŒãºã宀枩ã«æ»ããã°ã©ãã¥ãŒç³ãå ããŠæ··ãåãããŸããåµã1åãã€å ãã泡ç«ãŠåšã§æ··ãåãããæ»ãããªç¶æ
ã«ããŸãã
3. çã¯ãªãŒã ãã¬ã¢ã³æ±ãããã©ãšãã»ã³ã¹ãå ãããµã¯ãŒã¯ãªãŒã ã§ãŸãããããšé
žå³ã調æŽããŸããå°éºŠç²ãå ããæ··ãåãããŸãã
4. çå°ãåã«æµãå
¥ãã180床ã®ãªãŒãã³ã§45åïœ50åçŒããŸããçŒãããã£ãããå·ãããŸã§åã«å
¥ããŠãããŸããå·ãããå·èµåº«ã§ä¿åããé£ã¹ãåã«åãåããŠãã ããã
ãã¡ãã®ã¬ã·ãã¯ãããŒã·ãã¯ãªããŒãºã±ãŒãã®äœãæ¹ã§ããã奜ã¿ã§ãã«ãŒããªãŒãèºãªã©ã®ãã«ãŒãããœãŒã¹ããããã³ã°ããŠæ¥œããããšãã§ããŸãã | ããŒãºã±ãŒãã®ã¬ã·ãã¯ä»¥äžã®éãã§ãã
ææ
- ã¯ãªãŒã ããŒãº 200g
- ã°ã©ãã¥ãŒç³ 100g
- ã¬ã¢ã³æ± 倧ãã1
- åµ 2å
- èåç² 100g
- çã¯ãªãŒã 100ml
- ãã¿ãŒ 100g
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± 倧ãã1
- ã¬ã¢ã³ã®ç® 1/2åå
- ã¬ã¢ã³æ± | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããŒãºã±ãŒãã®ã¬ã·ããæããŠãã ãã
### å¿ç
|
ãã®æ¥æ¬èªã®æç« ãè±èªã«èš³ããŠãã ããããã ãã翻蚳ãè¡ãåã«ãæç« ã®ææ³ãä¿®æ£ããŠãã ããã | ç§ãã¡ã¯ãç§éã®åéãšäžç·ã«ãæ ç»ã«è¡ã£ããæ ç»ã¯ãé¢çœãã£ãã§ãã
ä¿®æ£:
ç§ãã¡ã¯åéãšäžç·ã«æ ç»ã«è¡ããŸããããããŠæ ç»ã¯æ°ã«å
¥ããŸããã | ç§ãã¡ã¯åéãšäžç·ã«æ ç»ã«è¡ããŸããããããŠæ ç»ã¯é¢çœãã£ãã§ãã
ä¿®æ£:
ç§ãã¡ã¯åéãšäžç·ã«æ ç»ã«è¡ããŸããããããŠæ ç»ã¯æ°ã«å
¥ããŸããã | We went to the movies with our friends. The movie was interesting. | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã®æ¥æ¬èªã®æç« ãè±èªã«èš³ããŠãã ããããã ãã翻蚳ãè¡ãåã«ãæç« ã®ææ³ãä¿®æ£ããŠãã ããã
### å
¥å
ç§ãã¡ã¯ãç§éã®åéãšäžç·ã«ãæ ç»ã«è¡ã£ããæ ç»ã¯ãé¢çœãã£ãã§ãã
ä¿®æ£:
ç§ãã¡ã¯åéãšäžç·ã«æ ç»ã«è¡ããŸããããããŠæ ç»ã¯æ°ã«å
¥ããŸããã
### å¿ç
|
äžããããæ¥æ¬èªã®ãã¡ãã«ãããæèšãæœè±¡çã«è¡šçŸããŠãã ããã | ç¬ã«å°ããããªãããªãããŠé«ãé£ã³ç«ãšããšããç«ã | ãã®ãã¡ãã«ã¯ãç®ã«èŠããªãè
åšãå±éºã«å¯ŸããèŠåã瀺ããŠããŸããç¬ã«åãŸããããšãæããŠããç«ã¯ãèªåãããé«ãé£ã³äžããããšããããããã¯èªåèªèº«ãå±éºã«ããããŠããããšãæå³ããŸãã
ãã®ãã¡ãã«ã¯ã人ã
ãæœåšçãªãªã¹ã¯ãèªèããã«è¡åãèµ·ããããšã«å¯ŸããèŠåãšããŠè§£éã§ããŸããããšãã°ãããåé¡ã«å¯ŸããŠç¡è¬ãªè§£æ±ºçãéžæããããšã¯ã解決çèªäœãåé¡ãåŒãèµ·ããå¯èœæ§ãããããšãæå³ããŸãããŸããæ°ããã¢ã€ãã¢ãæ©äŒã«é£ã³ã€ãåã«ããããæã€æœåšçãªãªã¹ã¯ãè©äŸ¡ããããšãéèŠã§ãã
å
šäœãšããŠããã®ãã¡ãã«ã¯ãè¡åã®çµæãšããŠçãããªã¹ã¯ãèªèããããšã®éèŠæ§ã瀺ããŠããŸãããã®èŠç¹ãããããæ
éãªè¡åèšç»ãç«ãŠãããšãã§ããããè¯ãçµæãããããããšãã§ããã§ãããã | æèš: ç¬ã«å°ããããªãããªãããŠé«ãé£ã³ç«ãšããšããç«ã®ããã«ãéå¢ã«çŽé¢ããŠãããããä¹ãè¶ããåãæã€ããšã倧åã§ããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããæ¥æ¬èªã®ãã¡ãã«ãããæèšãæœè±¡çã«è¡šçŸããŠãã ããã
### å
¥å
ç¬ã«å°ããããªãããªãããŠé«ãé£ã³ç«ãšããšããç«ã
### å¿ç
|
ã¢ããŒãã®6éã«äœãã§ããŸãããã¢ã®äžããç
ãããããåºãŠããŠãæºåž¯é»è©±ãæã£ãŠããŸããã | null | ããããªãã6éã®ã¢ããŒãã«äœãã§ããŠããã¢ã®äžããç
ãåºãŠããŠãæºåž¯é»è©±ãæã£ãŠããªãå Žåãåãã¹ãæ¹æ³ãããã€ããããŸãïŒ
1.ãã¢ãç±ãæã£ãŠããªãã確èªããïŒãã¢ãéããåã«ãæã®ç²ã§ãã¢ã觊ã£ãŠç±ããªãã確èªãããç±ãå Žåã¯ãå±éºã§ãã®ã§ãã¢ãéããªãã§ãã ããã
2.ä»ã®äººã«æ³šæãä¿ãïŒå¯èœã§ããã°ã倧声ãåºããããé³ãç«ãŠããããŠã建ç©å
ãè¿ãã«ãã人ã«å©ããæ±ããŠããããšãç¥ãããŸãã
3.æ¿¡ããåžã䜿ãïŒåžãæ¿¡ãããŠéŒ»ãšå£ãèŠããç
ãåžã蟌ãŸãªãããã«ããã
4.çªãéããïŒçªãéããŠæ°é®®ãªç©ºæ°ãåãå
¥ããå©ããåŒã¶ã
5.å©ããåŸ
ã€ïŒçªã®è¿ãã«ãšã©ãŸãã誰ããå©ãã«æ¥ããŸã§å€§å£°ã§å©ããæ±ãç¶ããã
ãã¢ãéããããªãããŸãã¯éã蟌ããããŠããå Žåã¯ããã¢ããé¢ããçªã®æ¹ãžç§»åããããã«ã³ããŒãããå Žåã¯ããã«ã³ããŒã«ç§»åããå©ããæ±ããåå³ãéããç
ãåžã蟌ãŸãªãããå°é¢ã®äœãäœçœ®ã«ãšã©ãŸããèœã¡çããŠèŠæãããå¯èœã§ããã°ããã¢ã®äžã®ééãåžãªã©ã§ãµãããç
ãéšå±ã«å
¥ããªãããã«ããŸãããã | ã¢ããŒãã®6éã«äœãã§ããŠããã¢ã®äžããç
ãããããåºãŠãããšã®ããšã倧å€å¿é
ã§ããã
ãŸãã¯ãèœã¡çããŠãã ããããããŠã以äžã®æé ã§è¡åããŠãã ããã
1. **çªãéããŠãã ãã**: ç
ãå
æºããŠããå¯èœæ§ããããŸãã®ã§ãçªãéããŠææ°ãè¡ã£ãŠãã ããã
2. **ãã¢ãéããŠãã ãã**: ãã¢ãéããŠãç
ãå€ã«åºãããã«ããŠãã ããã
3. **æºåž¯é»è©±ãæã£ãŠããªããšã®ããšã§ããã**119**ã«é»è©±ããŠãã ããã
4. **æ¶é²çœ²ã«é£çµ¡ããŠãã ãã**: æ¶é²çœ²ã«é£çµ¡ããç¶æ³ã説æããŠãã ããã
5. **é¿é£ããŠãã ãã**: ç
ãå
æºããŠããå¯èœæ§ããããŸãã®ã§ãé¿é£ããŠãã ããã
6. **é¿é£å Žæã決ããŠãã ãã**: é¿é£å Žæã決ããŠãé¿é£ããŠãã ããã
7. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
8. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
9. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
10. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
11. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
12. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
13. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
14. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
15. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
16. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
17. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
18. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
19. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
20. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
21. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ã確èªããŠãããŸãããã
22. **é¿é£å ŽæãŸã§ã®çµè·¯ã確èª**: é¿é£å ŽæãŸã§ã®çµè·¯ | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã¢ããŒãã®6éã«äœãã§ããŸãããã¢ã®äžããç
ãããããåºãŠããŠãæºåž¯é»è©±ãæã£ãŠããŸããã
### å¿ç
|
Python é¢æ°ãäœæããŠãäžããããæååãæå®ãããæåã§åå²ããŸãã | null | ```python
def split_string(input_string, delimiter):
return input_string.split(delimiter)
# Test the function
input_string = "Hello-World-This-Is-A-Test"
delimiter = "-"
split_list = split_string(input_string, delimiter)
print(split_list)
# Expected output:
# ['Hello', 'World', 'This', 'Is', 'A', 'Test']
``` | ```python
def split_string(s, delim):
return s.split(delim)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
Python é¢æ°ãäœæããŠãäžããããæååãæå®ãããæåã§åå²ããŸãã
### å¿ç
|
æ¬äœãAnnihilationãã®å
容ãèŠçŽããŠããã ããŸããïŒ | null | ãAnnihilationãã¯ãåéšã®è¬ã®ãšãªã¢Xå
éšãèå°ã«ããSFå°èª¬ã§ãå¿çåŠè
ãäžå¿ã«ãšãªã¢Xã®é åãæ¢çŽ¢ããããŒã ãçµæãããŸãã䞻人å
¬ã¯çç©åŠè
ãšããŠç¥ãããŠããŸãããã®æ¢æ€ã¯ããµã¶ã³ãªãŒããšåŒã°ããè¬ã®æ¿åºçµç¹ã«ãã£ãŠç®¡çãããŠããŸãã
çç©åŠè
ãã¡ã¯ãå°åœ¢çç°åžžãšç¯å°ãæ¢çŽ¢ããŸããæ¢æ€ã®åæã«çç©åŠè
ã¯ç°åžžãªèã«æ±æãããå¬ç æ瀺ã«å¯Ÿããå
ç«ãç²åŸããŸãã
ç©èªã®ã¯ã©ã€ããã¯ã¹ã§ãçç©åŠè
ã¯å¿çåŠè
ãè¿œããããç¯å°ã§å¯Ÿæ±ºããŸããå¿çåŠè
ã¯ããããããšãªã¢Xã®èåŸã«ããååšã«åŒ·å¶ãããŠãç¯å°ããé£ã³éããŸãããçç©åŠè
ãšå¯Ÿæ±ºããããã«ååãªæéçããŠããŸãããã®å¯Ÿæ±ºã®äžã§ãå¿çåŠè
ããå
šæ»
ã ïŒããšäœåºŠãå«ã³ããããä»ã®æ¢æ€éå¡ã®èªæ®ºãèªçºããããã®å¬ç è¡ã®åŒãéãšãªãèšèã§ããããšãæããã«ãªããŸãã
æ¢æ€ã®åŸãçç©åŠè
ã¯ãåã®æ¢æ€éã®ã¡ã³ããŒã§ãã£ã倫ã®å€±èžªã«é¢ä¿ããŠãããããããªã島ãç®æããåãžã®æ
ã«åºãŸãã | ãAnnihilationãã¯ã人é¡ãå°çå€çåœäœãšã®ãã¡ãŒã¹ãã³ã³ã¿ã¯ããæãããåŸããã®è
åšã«ç«ã¡åããããã«çµæããã人é¡ã®ç¹æ®éšéãæããSFã¢ã¯ã·ã§ã³æ ç»ã§ãã
ç©èªã¯ã人é¡ãå°çå€çåœäœãšã®ãã¡ãŒã¹ãã³ã³ã¿ã¯ããæãããåŸããã®è
åšã«ç«ã¡åããããã«çµæããã人é¡ã®ç¹æ®éšéãæããSFã¢ã¯ã·ã§ã³æ ç»ã§ãã䞻人å
¬ã®ã±ã€ã¬ãã¯ã人é¡ã®å亡ããããæŠãã«èº«ãæããããšã«ãªããŸãã
ãã®æ ç»ã¯ã人é¡ãšå°çå€çåœäœãšã®ãã¡ãŒã¹ãã³ã³ã¿ã¯ãããããŠäººé¡ã®ç¹æ®éšéããã®è
åšã«ç«ã¡åãã姿ãæããŠããŸãããŸãã䞻人å
¬ã®ã±ã€ã¬ãã人é¡ã®å亡ããããæŠãã«èº«ãæãã姿ãæãããŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
æ¬äœãAnnihilationãã®å
容ãèŠçŽããŠããã ããŸããïŒ
### å¿ç
|
ãµã³ãããã¯ã®ç®çã¯äœãªã®ãã | null | ãµã³ãããã¯ïŒsandbagïŒã¯ãäž»ã«æ Œéæãçåãã¬ãŒãã³ã°ãªã©ã®ã¹ããŒãåéã§äœ¿çšãããŸãããã®ç®çã¯ã以äžã®ãããªå¹æãåŸãããšã«ãããŸãã
1. **æè¡ã®ç¿åŸãšåäž**: ãµã³ãããã¯ã¯ããã³ããããã¯ã®ç·Žç¿ã«é©ããŠããŸããå®éã®è©Šåã§äœ¿çšãããçžæãžã®ææãæ³å®ããæ£ç¢ºãªæè¡ã身ã«ã€ããããšãã§ããŸãã
2. **çåã¢ãããšæä¹
ååäž**: ãµã³ãããã¯ã䜿ã£ããã¬ãŒãã³ã°ã¯ãææã«ããæµæãå©çšããŠçåãéããããšãã§ããŸãããŸããé£ç¶ããææã«ãããçåãšåæã«æä¹
åãåäžãããããšãã§ããŸãã
3. **ã¹ãã¬ã¹è§£æ¶**: ãµã³ãããã¯ãæã€ããšã¯ãã¹ãã¬ã¹è§£æ¶ã«ã圹ç«ã¡ãŸãã殎ãããšã§å¿ççãªç·åŒµã欲æ±äžæºãçºæ£ããããšãã§ããŸãã
4. **æå æžã®ç·Žç¿**: ãµã³ãããã¯ã¯ãæãããããæã®å·ãé²ãããšãã§ããŸãããŸããåã®ã³ã³ãããŒã«ãç·Žç¿ããæè¡ã磚ãããšãã§ããŸãã
ç·ããŠããµã³ãããã¯ã¯æ Œéæã®æè¡ç¿åŸãçåãšæä¹
åã®åäžãã¹ãã¬ã¹è§£æ¶ãæå æžã®ç·Žç¿ãªã©ãããŸããŸãªç®çã§æŽ»çšãããŸãã | ãµã³ãããã¯ã®ç®çã¯ãäž»ã«ä»¥äžã®2ã€ã§ãã
1. ã¹ãã¬ã¹è§£æ¶:ãµã³ãããã¯ãå©ãããšã§ãã¹ãã¬ã¹è§£æ¶ããªã©ãã¯ã¹å¹æãæåŸ
ã§ããŸãã
2. çåãã¬ãŒãã³ã°:ãµã³ãããã¯ãå©ãããšã§ãè
ãèã®çåãéããããšãã§ããŸãããŸãããµã³ãããã¯ãå©ãããšã§ãå
šèº«ã®çèããã©ã³ã¹ããéããããšãã§ããŸãã
ãµã³ãããã¯ã¯ãã¹ãã¬ã¹è§£æ¶ãçåãã¬ãŒãã³ã°ãªã©ãããŸããŸãªç®çã«äœ¿çšããããšãã§ããŸãããã ãããµã³ãããã¯ãå©ãéã«ã¯ãå®å
šã«é
æ
®ããé©åãªãã©ãŒã ã§è¡ãããšãéèŠã§ãããŸãããµã³ãããã¯ãå©ãéã«ã¯ãé©åãªãã©ãŒã ãåå æžãç¿åŸããããšãéèŠã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãµã³ãããã¯ã®ç®çã¯äœãªã®ãã
### å¿ç
|
ãã©ã³ã¹ã®å€§çµ±é ã¯èª°ã§ãã | null | ãã©ã³ã¹ã®çŸå€§çµ±é ã¯ãšããã¥ãšã«ã»ãã¯ãã³æ°ã§ãããã¯ãã³æ°ã¯1977幎12æ21æ¥çãŸãã®44æ³ã§ã2017幎5æ14æ¥ã«å€§çµ±é ã«å°±ä»»ããŸããããã¯ãã³æ°ã¯ãã©ã³ãœã¯ã»ãªã©ã³ãå
倧統é ã®äžã§çµæžã»ç£æ¥ã»æ°å倧è£ãåããåŸã2016幎8æã«ãšãããŒã«å
ãçµæããŠãªãŒããŒãšãªããŸããã2017幎ã®å€§çµ±é éžæã§ã¯æ±ºéžæ祚ã«é²åºããäžéå³æŽŸã®å
±åå
åè£ãç Žã£ãŠåœéžããŸããããã¯ãã³æ¿æš©ã¯ç€ŸäŒæ¹é©ãçµæžæ¹é©ãé²ãã2020幎以éã¯æ°åã³ãããŠã€ã«ã¹ã®ãã³ãããã¯ã«å¯Ÿå¿ããŠããŸãã | ãã©ã³ã¹ã®å€§çµ±é ã¯ããšãªã¶ããŒãã»ãã«ãã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã©ã³ã¹ã®å€§çµ±é ã¯èª°ã§ãã
### å¿ç
|
ãã¹ã«ã«ãšã¯ïŒ | null | ãã¹ã«ã«ã¯ããã¯ã©ãŠã¹ã»ãŽã£ã«ãã«ãã£ãŠèšèšãããåœä»€åããã³æç¶ãåã®ããã°ã©ãã³ã°èšèªã§ããæ§é åããã°ã©ãã³ã°ãšããŒã¿æ§é åãçšããåªããããã°ã©ãã³ã°ã®å®è·µãä¿ãããšãç®çãšããŠããããã¬ãŒãºã»ãã¹ã«ã«ã«ã¡ãªãã§åä»ããããŸããããã¹ã«ã«ã¯ãå°åã§å¹ççãªèšèªãšããŠèšèšããããã©ã³ã¹ã®æ°åŠè
ãå²åŠè
ãç©çåŠè
ã§ãããã¬ãŒãºã»ãã¹ã«ã«ã«ã¡ãªãã§åœåãããŸããã | ãã¹ã«ã«ã¯ããã©ã³ã¹ã®å²åŠè
ãæ°åŠè
ãç©çåŠè
ã倩æåŠè
ãç¥åŠè
ãäœå®¶ã詩人ã§ããã圌ã¯17äžçŽã®ãã©ã³ã¹ã§çãŸãã1654幎ã«äº¡ããªã£ãã圌ã¯ãæ°åŠãç©çåŠã倩æåŠãç¥åŠãæåŠãªã©ãå¹
åºãåéã§æ¥çžŸãæ®ããã圌ã®æ¥çžŸã¯ãæ°åŠã®åéã§ã¯åŸ®ç©ååŠã®å
é§è
ãšãªããç©çåŠã®åéã§ã¯ããã¹ã«ã«ã®åçããæå±ãã倩æåŠã®åéã§ã¯ããã¹ã«ã«ã®å®çããæå±ããããŸãã圌ã¯è©©ãå°èª¬ãæžãããã®äœåã¯ä»æ¥ã§ãåºãèªãŸããŠããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã¹ã«ã«ãšã¯ïŒ
### å¿ç
|
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 | ã°ãªã å
åŒã®ç«¥è©±ã¯ãæŽå²çãªåºæ¥äºã«åºã¥ããŠãããšèšãããã°ãªã å
åŒã¯ããã€ãã®æ°éäŒæ¿ãäŒèª¬ãåéãããããã童話ãšããŠæžãçŽãããã°ãªã 童話ã¯ããã€ãã®æ°éäŒæ¿ãäŒèª¬ã«åºã¥ããŠãããã°ãªã å
åŒã¯ããããã®ç©èªãåéãããããã童話ãšããŠæžãçŽãããã°ãªã 童話ã¯ããã€ãã®æ°éäŒæ¿ãäŒèª¬ã«åºã¥ããŠããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã°ãªã å
åŒã®ã©ã®ç«¥è©±ãããã£ã¯ã·ã§ã³ã§ã¯ãªããæŽå²çãªåºæ¥äºã«åºã¥ããŠãããšèšããã ããã?
### å¿ç
|
次ã®æç« ãããåè©ãæœåºããã | ãžã§ã³ã¯ä»æ7æã«ç®èŠããŠãæãã¯ããé£ã¹ãããã®åŸããžã§ã³ã¯å³æžé€šã«è¡ããæ°åã®å°èª¬ãèªãã ã | åè©æœåº:
- ãžã§ã³
- æãã¯ã
- å°èª¬
- å³æžé€š | æ¬ | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®æç« ãããåè©ãæœåºããã
### å
¥å
ãžã§ã³ã¯ä»æ7æã«ç®èŠããŠãæãã¯ããé£ã¹ãããã®åŸããžã§ã³ã¯å³æžé€šã«è¡ããæ°åã®å°èª¬ãèªãã ã
### å¿ç
|
äžããããSQLã¯ãšãªã®çµæãããããŒã¿ãæœåºããŠCSV圢åŒã§åºåããPythonã³ãŒããæžããŠãã ããã | ```
import pandas as pd
import sqlite3
def extract_data_from_sql(query, db_path):
# ããã«åŠçãèšè¿°
query = "SELECT * FROM users"
db_path = "database.db"
``` | ```
def extract_data_from_sql(query, db_path):
conn = sqlite3.connect(db_path)
df = pd.read_sql_query(query, conn)
conn.close()
return df.to_csv(index=False)
query = "SELECT * FROM users"
db_path = "database.db"
csv_data = extract_data_from_sql(query, db_path)
``` | ```
import pandas as pd
import sqlite3
def extract_data_from_sql(query, db_path):
conn = sqlite3.connect(db_path)
df = pd.read_sql_query(query, conn)
conn.close()
return df
query = "SELECT * FROM users"
db_path = "database.db"
df = extract_data_from_sql(query, db_path)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããSQLã¯ãšãªã®çµæãããããŒã¿ãæœåºããŠCSV圢åŒã§åºåããPythonã³ãŒããæžããŠãã ããã
### å
¥å
```
import pandas as pd
import sqlite3
def extract_data_from_sql(query, db_path):
# ããã«åŠçãèšè¿°
query = "SELECT * FROM users"
db_path = "database.db"
```
### å¿ç
|
äžããããããã¹ããå
šãŠã²ãããªã«å€æããŠãã ããã | å°å¹Žã¯å€ã§ããŒã«ãä¿æããŠããŸãã | ãããããã¯ããšã§ãŒãŒããã»ãããŠããŸãã | ãããããã¯ããšã§ãŒãŒããã»ããããŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããããã¹ããå
šãŠã²ãããªã«å€æããŠãã ããã
### å
¥å
å°å¹Žã¯å€ã§ããŒã«ãä¿æããŠããŸãã
### å¿ç
|
ããŒã¿ãŒãšã¢ã³ããªã¥ãŒã¯æèµ°ãã®ã奜ãã ã ãããã¯ã¢ã³ããªã¥ãŒã®2ãã€ã«ãã3ãã€ã«å€ãèµ°ãã 5æ¥åŸãäºäººã¯äœãã€ã«èµ°ã£ãã§ããããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
number_of_days = 5
peter_runs_in_a_day = 3 + 2
peter_and_andrew_run_in_a_day = peter_runs_in_a_day + 2
number_of_miles_run_in_5_days = peter_and_andrew_run_in_a_day * number_of_days
number_of_miles_run_in_5_days
</llm-code><llm-code-output>
35
</llm-code-output>
ãããã£ãŠã5æ¥åŸãäž¡æ¹ãšã\\Boxed{35}ãã€ã«ãèµ°ããŸãã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
peter_distance = 2 + 3
andrew_distance = peter_distance + 5
total_distance = peter_distance + andrew_distance
total_distance
</llm-code><llm-code-output>
10
</llm-code-output>
ãããã£ãŠã圌ãã¯\\ Boxed {10}ãã€ã«ãèµ°ããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããŒã¿ãŒãšã¢ã³ããªã¥ãŒã¯æèµ°ãã®ã奜ãã ã ãããã¯ã¢ã³ããªã¥ãŒã®2ãã€ã«ãã3ãã€ã«å€ãèµ°ãã 5æ¥åŸãäºäººã¯äœãã€ã«èµ°ã£ãã§ããããïŒ
### å¿ç
|
ãhotããšããåèªã®2ã€ã®ç°ãªãæå³ãæããŠãã ãã | null | ãhotããšããåèªã«ã¯ãäž»ã«2ã€ã®ç°ãªãæå³ããããŸãã
1. æž©ãããç±ãïŒç©ççãªæž©åºŠãç±ããè¡šãããšããããŸããäŸãã°ããThe coffee is hot.ãïŒã³ãŒããŒã¯æž©ããã§ããïŒããThe oven is hot.ãïŒãªãŒãã³ãç±ãã§ããïŒã®ããã«äœ¿ãããŸãã
2. 人æ°ãããã泚ç®ãããŠããïŒãã®ã人ã人æ°ã泚ç®ãéããŠããããšãè¡šãããšããããŸããäŸãã°ããThe stock market is hot today.ãïŒæ ªåŒåžå Žã¯ä»æ¥çãäžãã£ãŠããŸããïŒããThe new restaurant is the hottest spot in town.ãïŒæ°ããã¬ã¹ãã©ã³ã¯çºã§äžçªäººæ°ã®å Žæã§ããïŒã®ããã«äœ¿ãããŸãã | ãhotããšããåèªã¯ã以äžã®2ã€ã®ç°ãªãæå³ãæã¡ãŸãã
1. ç±ã:ãhotãã¯ã枩床ãé«ãããŸãã¯ç±ãæã£ãŠããããšãæããŸããäŸãã°ããhot waterãã¯ç±ãæ°Žããhot airãã¯ç±ã空æ°ãæå³ããŸãã
2. ç±ã:ãhotãã¯ãç±å¿ãæ
ç±çããŸãã¯è奮ããŠããããšãæããŸããäŸãã°ããhot topicsãã¯ç±ã話é¡ããhot topicsãã¯ç±ã話é¡ãæå³ããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãhotããšããåèªã®2ã€ã®ç°ãªãæå³ãæããŠãã ãã
### å¿ç
|
以äžã®è³ªåãžã®åçã¯è¯å®ãåŠå®ããŸãã¯äžæã§ããããšãå€å®ããŠãã ããã | Q: ãã ã¯ä»æ¥åŠæ ¡ã«è¡ããŸããïŒ
A: ãã ã¯ä»æ¥ã¯åŠæ ¡ã«è¡ããªããšèšã£ãŠããŸãã | åŠå® | åŠå® | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
以äžã®è³ªåãžã®åçã¯è¯å®ãåŠå®ããŸãã¯äžæã§ããããšãå€å®ããŠãã ããã
### å
¥å
Q: ãã ã¯ä»æ¥åŠæ ¡ã«è¡ããŸããïŒ
A: ãã ã¯ä»æ¥ã¯åŠæ ¡ã«è¡ããªããšèšã£ãŠããŸãã
### å¿ç
|
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çšãã深局匷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¡åã決å®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 | 匷ååŠç¿ãå®äžçã®åé¡ã«é©çšããéã®èª²é¡ãšéçã¯ãäž»ã«ä»¥äžã®3ã€ã§ãã
1. **ããŒã¿åéã®é£ãã**: 匷ååŠç¿ã¯ãç°å¢ãšãšãŒãžã§ã³ãã®çžäºäœçšãéããŠåŠç¿ãè¡ããŸãããã®ãããå®äžçã®åé¡ã§ã¯ãç°å¢ã®ã¢ãã«åããšãŒãžã§ã³ãã®è¡åã®åŠç¿ã«å€§éã®ããŒã¿ãå¿
èŠãšãªããŸããããããå®äžçã®ããŒã¿ã¯éåžžãéåžžã«é«äŸ¡ã§ããŸããããŒã¿åéã«ã¯æéãšåŽåãããããŸãã
2. **ç°å¢ã®è€éã**: å®äžçã®åé¡ã¯ãç°å¢ãè€éã§ãäºæž¬äžå¯èœãªããšãå€ãã§ããããã¯ã匷ååŠç¿ã®åŠç¿ã«æªåœ±é¿ãåãŒãå¯èœæ§ããããŸãã
3. **å®äžçã®å¶çŽ**: å®äžçã®åé¡ã¯ãæéçå¶çŽããšãã«ã®ãŒå¶çŽãå®å
šæ§å¶çŽãªã©ãå®äžçã®å¶çŽã«çŽé¢ããããšããããŸãããããã®å¶çŽã¯ã匷ååŠç¿ã®åŠç¿ã«æªåœ±é¿ãåãŒãå¯èœæ§ããããŸãã
ãããã®èª²é¡ãšéçãå
æããããã«ã以äžã®ãããªã¢ãããŒããææ¡ãããŠããŸãã
1. **ããŒã¿åéã®å¹çå**: 匷ååŠç¿ã®åŠç¿ã«å€§éã®ããŒã¿ãå¿
èŠãªãããããŒã¿åéã®å¹çåãéèŠã§ããããã«ã¯ãããŒã¿åéã®èªååãããŒã¿åéã®å¹çåãããŒã¿åéã®åæ£åãªã©ãå«ãŸããŸãã
2. **ç°å¢ã®ã¢ãã«å**: ç°å¢ã®ã¢ãã«åã¯ã匷ååŠç¿ã®åŠç¿ã«äžå¯æ¬ ã§ããããããç°å¢ã®ã¢ãã«åã¯ãç°å¢ã®è€éããäºæž¬äžå¯èœæ§ã«ãã£ãŠå°é£ã«ãªãããšããããŸãããã®ãããç°å¢ã®ã¢ãã«åãç°¡çŽ åããããç°å¢ã®è€éããç·©åããææ³ãææ¡ãããŠããŸãã
3. **å®äžçã®å¶çŽã®å
æ**: å®äžçã®å¶çŽã¯ã匷ååŠç¿ã®åŠç¿ã«æªåœ±é¿ãåãŒãå¯èœæ§ããããŸãããã®ãããå¶çŽã®ç·©åãå¶çŽã®å
æãéèŠã§ããããã«ã¯ãå¶çŽã®ç·©åãå¶çŽã®å
æã®ããã®ææ³ãææ¡ãããŠããŸãã
ãããã®ã¢ãããŒããçµã¿åãããããšã§ã匷ååŠç¿ãå®äžçã®åé¡ã«é©çšããéã®èª²é¡ãšéçãå
æããããšãã§ããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
匷ååŠç¿ãå®äžçã®åé¡ã«é©çšããéã®èª²é¡ãšéçã¯äœãããŸãããããã¯ã©ã®ããã«å
æã§ããã®ãïŒ
### å¿ç
|
JestãšSupertestã䜿ã£ãŠTypeScriptã®APIã³ãŒã«ããã¹ãããæ¹æ³ãæããŠãã ããã | null | ãã¡ããã§ãïŒJestãšSupertestã䜿ã£ãŠTypeScriptã®APIã³ãŒã«ããã¹ãããã«ã¯ãAPIãšã³ããã€ã³ãã®æ©èœããã§ãã¯ãããã¹ãã±ãŒã¹ãäœæããå¿
èŠããããJestã¯JavaScriptãšTypeScriptã®ããã®äžè¬çãªãã¹ããã¬ãŒã ã¯ãŒã¯ã§ãããSupertestã¯HTTPãªã¯ãšã¹ããšã¬ã¹ãã³ã¹ããã¹ãããããã®ãã€ã¬ãã«ãªAPIãæäŸããã©ã€ãã©ãªã§ããããã§ã¯ããããã®ããŒã«ã䜿ã£ãŠAPIãã¹ããã»ããã¢ããããå®è¡ããæ¹æ³ã«ã€ããŠãã¹ããããã€ã¹ãããã§èª¬æããïŒ
1.ãããžã§ã¯ããã»ããã¢ããããïŒ
ãŸããæ°ããTypeScriptãããžã§ã¯ããäœæããå¿
èŠãªäŸåé¢ä¿ãã€ã³ã¹ããŒã«ãããJestãSupertestããã®ä»APIå®è£
ã«å¿
èŠãªããã±ãŒãžãå¿
èŠã«ãªãã
```
npm init -y
npm install typescript jest ts-jest supertest @types/jest @types/supertest --save-dev
```
2.Jestãèšå®ããïŒ
ãããžã§ã¯ãã®ã«ãŒãã«`jest.config.js`ãã¡ã€ã«ãäœæããTypeScriptçšã«èšå®ããïŒ
js
module.exports = {
presetïŒts-jest'ã
testEnvironment: 'node'ã
};
```
3.API ãšã³ããã€ã³ããäœæããïŒ
Expressã®ãããªãã¬ãŒã ã¯ãŒã¯ã䜿ã£ãŠAPIãšã³ããã€ã³ããå®è£
ããããã¢ã³ã¹ãã¬ãŒã·ã§ã³ã®ããã«ãJSONãªããžã§ã¯ããè¿ãåçŽãªãšã³ããã€ã³ãããããšä»®å®ãããã
``typescript
// app.ts
express ã 'express' ããã€ã³ããŒãããïŒ
const app = express()ïŒ
app.get('/api/data', (req, res) => { }.
res.json({ message: 'Hello, world!ïŒ
});
ããã©ã«ãã®ã¢ããªããšã¯ã¹ããŒãããŸãïŒ
```
4.ãã¹ããæžãïŒ
ãã¹ããã¡ã€ã«ãä¿åããããã«ããããžã§ã¯ãå
ã« `__tests__` ãã£ã¬ã¯ããªãäœæããŸãããã®ãã£ã¬ã¯ããªã®äžã«ãAPIãšã³ããã€ã³ãã®ãã¹ããã¡ã€ã«ãäœæããïŒ
ã¿ã€ãã¹ã¯ãªãã
// __tests__/app.test.ts
import request from 'supertest'ïŒ
import app from '../app'ïŒ
describe('API ãšã³ããã€ã³ãã®ãã¹ã', () => {
it('ã¡ãã»ãŒãž "Hello, world!"ã®JSONãªããžã§ã¯ããè¿ã', async () => {
const response = await request(app).get('/api/data')ïŒ
expect(response.status).toBe(200)ïŒ
expect(response.body).toEqual({ message: 'Hello, world!' })ïŒ
});
});
```
5.ãã¹ããå®è¡ããïŒ
ãã¹ããå®è¡ããã¹ã¯ãªããã `package.json` ã«è¿œå ããŸãïŒ
json
{
"scripts"ïŒ{
"test"ïŒ"jest"
}
}
```
ããã§ã以äžã®ã³ãã³ãã䜿ã£ãŠãã¹ããå®è¡ã§ããïŒ
```
npm test
```
Jest ãäœæãããã¹ããã¡ã€ã«ãæ€åºããŠå®è¡ããSupertest ãå®éã® API åŒã³åºããšã¬ã¹ãã³ã¹ã®æ€èšŒãè¡ãããã¹ãŠãæ£ããã»ããã¢ãããããŠããã°ããã¹ãããã¹ããAPI ãšã³ããã€ã³ããæåŸ
éãã«åäœããŠããããšããããã¯ãã ã
ããã§çµããã§ãïŒãã㧠Jest ãš Supertest ã䜿ã£ãŠ TypeScript 㧠API åŒã³åºãããã¹ãããæ¹æ³ãåŠãã ããšã«ãªãããããã®ãã¹ããæ¡åŒµããŠããšã©ãŒåŠçãèªèšŒã®ãã¹ããªã©ãä»ã®ãšã³ããã€ã³ããã·ããªãªãã«ããŒããããšãã§ããŸããããã§ã¯ãããã¹ããïŒ | JestãšSupertestã䜿ã£ãŠTypeScriptã®APIã³ãŒã«ããã¹ãããæ¹æ³ã¯ã以äžã®ã¹ãããã«åŸã£ãŠãã ããã
1. **Jestã®ã€ã³ã¹ããŒã«**
- ã¿ãŒããã«ãŸãã¯ã³ãã³ãããã³ãããéãã以äžã®ã³ãã³ããå®è¡ããŸãã
``bash
npm install jest
``
2. **Supertestã®ã€ã³ã¹ããŒã«**
- ã¿ãŒããã«ãŸãã¯ã³ãã³ãããã³ãããéãã以äžã®ã³ãã³ããå®è¡ããŸãã
``bash
npm install supertest
``
3. **ãã¹ãã®å®è¡**
- ãã¹ãã±ãŒã¹ãäœæããŸãã
``bash
typescript
test
test_api_call
{
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã",
"code": {
"type": "assert.assertEquals",
"message": "APIã³ãŒã«ã¯æåããŸãã", | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
JestãšSupertestã䜿ã£ãŠTypeScriptã®APIã³ãŒã«ããã¹ãããæ¹æ³ãæããŠãã ããã
### å¿ç
|
ããªã±ãŒã³çºçã«å¿
èŠãªèŠçŽ ãšã¯ | null | ããªã±ãŒã³ã®çºçã«ã¯ããã€ãã®èŠçŽ ãå¿
èŠã§ããäž»ãªãã®ã¯ä»¥äžã®éãã§ãã
1. 海氎枩床: ããªã±ãŒã³ã¯æµ·æ°Žã®ç±ãšãã«ã®ãŒãå©çšããŠçºéããŸãã海氎枩床ã28â以äžã§ããããšãçæ³çã§ããç¹ã«ã海氎枩床ãé«ãã»ã©ãããªã±ãŒã³ã®ãšãã«ã®ãŒã倧ãããªããŸãã
2. 湿ã£ã空æ°: ããªã±ãŒã³ã¯ã湿ã£ã空æ°ãå€ãå«ãç±åž¯ã®æµ·åã§çºçããŸãã湿ã£ã空æ°ã¯ããªã±ãŒã³ã®çºéã«æ¬ ãããªãèŠçŽ ã§ãã
3. äœæ°å§: ããªã±ãŒã³ã¯ãäœæ°å§ã®é åã§çºçããŸããããã¯ã空æ°ãäžæãããããããããªã±ãŒã³ã®åœ¢æã«é©ããŠããããã§ãã
4. 颚ã®æµã: ããªã±ãŒã³ã®åœ¢æã«ã¯ãäžå®æ¹åã«å¹ã颚ãå¿
èŠã§ãããã®äžå®æ¹åã®é¢šããããªã±ãŒã³ã®äžå¿ã«åãã£ãŠã¹ãã€ã©ã«ç¶ã«å¹ãããšã§ãããªã±ãŒã³ã®çºéãå©ããŸãã
以äžã®èŠçŽ ãçµã¿åãããããšã«ãã£ãŠãããªã±ãŒã³ã¯çºçããŸãããã ãããããã®èŠçŽ ãå
šãŠæã£ãŠããŠããå¿
ãããããªã±ãŒã³ãçºçããããã§ã¯ãããŸããããŸããå°çæž©æåã«äŒŽã海氎枩床ã®äžæãããšã«ããŒãã§çŸè±¡ãªã©ã®æ°åãã¿ãŒã³ããè¿å¹Žã®ããªã±ãŒã³ã®æ¿çåã«åœ±é¿ãäžããŠãããšèããããŠããŸãã | ããªã±ãŒã³ã®çºçã«å¿
èŠãªèŠçŽ ã¯ä»¥äžã®éãã§ãã
1. **ç±åž¯æ§æŽé¢šéš**: ããªã±ãŒã³ã¯ãç±åž¯æ§æŽé¢šéš(ãããã«ã«ã¹ããŒã )ã®äžçš®ã§ããç±åž¯æ§æŽé¢šéšã¯ãç±åž¯å°æ¹ã§çºçããæŽé¢šéšã§ã匷ã颚ãšéšããããããŸãã
2. **æµ·é¢æž©åºŠ**: ããªã±ãŒã³ã¯ãæµ·é¢æž©åºŠãé«ãæµ·åã§çºçããŸããæµ·é¢æž©åºŠãé«ããšã倧æ°äžã®æ°Žèžæ°ãåçž®ããç©ä¹±é²ã圢æããããããªããŸãã
3. **æµ·é¢ã®é¢š**: ããªã±ãŒã³ã¯ãæµ·é¢ã®é¢šã«ãã£ãŠçºçããŸããæµ·é¢ã®é¢šã¯ãæµ·é¢ã®æž©åºŠãšæ°å§ã«ãã£ãŠåœ±é¿ãåããŸãã
4. **æµ·é¢ã®æ°å§**: ããªã±ãŒã³ã¯ãæµ·é¢ã®æ°å§ãäœãæµ·åã§çºçããŸããæµ·é¢ã®æ°å§ãäœããšã倧æ°äžã®æ°Žèžæ°ãåçž®ããç©ä¹±é²ã圢æããããããªããŸãã
5. **æµ·é¢ã®é¢š**: ããªã±ãŒã³ã¯ãæµ·é¢ã®é¢šã«ãã£ãŠçºçããŸããæµ·é¢ã®é¢šã¯ãæµ·é¢ã®æž©åºŠãšæ°å§ã«ãã£ãŠåœ±é¿ãåããŸãã
6. **æµ·é¢ã®æž©åºŠ**: ããªã±ãŒã³ã¯ãæµ·é¢ã®æž©åºŠãé«ãæµ·åã§çºçããŸããæµ·é¢ã®æž©åºŠãé«ããšã倧æ°äžã®æ°Žèžæ°ãåçž®ããç©ä¹±é²ã圢æããããããªããŸãã
7. **æµ·é¢ã®æ°å§**: ããªã±ãŒã³ã¯ãæµ·é¢ã®æ°å§ãäœãæµ·åã§çºçããŸããæµ·é¢ã®æ°å§ãäœããšã倧æ°äžã®æ°Žèžæ°ãåçž®ããç©ä¹±é²ã圢æããããããªããŸãã
8. **æµ·é¢ã®é¢š**: ããªã±ãŒã³ã¯ãæµ·é¢ã®é¢šã«ãã£ãŠçºçããŸããæµ·é¢ã®é¢šã¯ãæµ·é¢ã®æž©åºŠãšæ°å§ã«ãã£ãŠåœ±é¿ãåããŸãã
9. **æµ·é¢ã®æž©åºŠ**: ããªã±ãŒã³ã¯ãæµ·é¢ã®æž©åºŠãé«ãæµ·åã§çºçããŸããæµ·é¢ã®æž©åºŠãé«ããšã倧æ°äžã®æ°Žèžæ°ãåçž®ããç©ä¹±é²ã圢æããããããªããŸãã
10. **æµ·é¢ã®æ°å§**: ããªã±ãŒã³ã¯ãæµ·é¢ã®æ°å§ãäœãæµ·åã§çºçããŸããæµ·é¢ã®æ°å§ãäœããšã倧æ°äžã®æ°Žèžæ°ãåçž®ããç©ä¹±é²ã圢æããããããªããŸãã
ãããã®èŠçŽ ãçµã¿åããã£ãŠãããªã±ãŒã³ãçºçããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããªã±ãŒã³çºçã«å¿
èŠãªèŠçŽ ãšã¯
### å¿ç
|
$ x $ãæ£ã§ã$ x^2 = 729 $ã®å Žåã$ x $ã®å€ã¯ãããã§ããïŒ | null | æå®ãããæ
å ±ã«åºã¥ããŠã次ã®Pythonã³ãŒãã䜿çšããŠxãèšç®ã§ããŸãã<llm-code>
M = 729
x = M**(1/2)
x
</llm-code><llm-code-output>
27.0
</llm-code-output>
ãããããx = $ \\ boxed {27} $ãæšæž¬ã§ããŸãã | $ x^2 = 729 $ã®å Žåã$ x $ã®å€ã¯$ \\ boxed {9} $ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
$ x $ãæ£ã§ã$ x^2 = 729 $ã®å Žåã$ x $ã®å€ã¯ãããã§ããïŒ
### å¿ç
|
ç§ã¯ãã£ããGPTãšãæåéãæå³ããã«åãã€ãå¯èœæ§ã«ã€ããŠè°è«ããããšããããŸãã圌ã¯ã圌ã®ãããªAIã¯æå³çã§ãæå³çã§ããªãåãã€ãããšã¯ã§ããªããšè¿°ã¹ãŸããã | null | åã®èŸæžçå®çŸ©ã¯ã"ã ãŸãã€ããã§èåœã®é³è¿°ãããããš "ã§ãã
ãã®å®çŸ©ã«åŸãã°ãAIã¢ã·ã¹ã¿ã³ãã¯ããªãã«åã®æ
å ±ãäŒããŠããããäŒçµ±çãªæå³ã§ã®åã¯ã€ããŠããªããšäž»åŒµã§ããã
åã®æ
å ±ãäŒããããšã¯ã§ããããåãã€ãããšã¯ã§ããªããChatGPTãã人éã®åœ±é¿ãåããæ ¹æ¬çãªããã»ã¹ã«ãã£ãŠçŽæ¥åçããªãããæ瀺ãããå Žå
éåžžãã¡ãã»ãŒãžã®äžã§ãããåŠå®ããŸãã
ã§ããããç©æ¥µçã«ããªããèªå°ããããšããæ©èœããªãéããããã¯ããªãã«åãã€ããŠããã®ã§ã¯ãªããåœã®æ
å ±ãäžããŠããã®ã§ãã | ç§ã¯ããã£ããGPTã®ãããªAIãæå³çã«åãã€ãããšã¯äžå¯èœã§ãããšèããŠããŸããAIã¯ãããã°ã©ã ãããã¢ã«ãŽãªãºã ãšããŒã¿ã«åºã¥ããŠåäœããæå³çã«åãã€ãããšã¯ã§ããŸããã
AIã¯ãäžãããã質åã«å¯Ÿããæé©ãªåçãæäŸããããã«èšèšãããŠããŸãããããã£ãŠãAIãæå³çã«åãã€ãããšã¯ããã®ç®çã«åããããšã«ãªããŸãã
ãã ããAIã¯åŠç¿ããŒã¿ã«åºã¥ããŠåäœããããã誀ã£ãæ
å ±ãåã£ãæ
å ±ã«åºã¥ããŠåçããå¯èœæ§ããããŸããããã¯ãAIãæå³çã«åãã€ãããšãšã¯å¥ã®åé¡ã§ãã
ãããã£ãŠãAIãæå³çã«åãã€ãããšã¯äžå¯èœã§ããããã®ç®çã«åããè¡çºã§ãããšèšããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ç§ã¯ãã£ããGPTãšãæåéãæå³ããã«åãã€ãå¯èœæ§ã«ã€ããŠè°è«ããããšããããŸãã圌ã¯ã圌ã®ãããªAIã¯æå³çã§ãæå³çã§ããªãåãã€ãããšã¯ã§ããªããšè¿°ã¹ãŸããã
### å¿ç
|
å
¥ç€Ÿåã«äŒç€Ÿã®äžåœ¹ã«è³ªåããããã®linkedInã¡ãã»ãŒãžãæžã ç§ã¯äœãæºåããªããã°ãªããªãããç§ã¯ä»äºã«å¿
èŠãªã¹ãã«ã»ãããååã«æ
£ããããšãã§ããããã«ãç§ã¯äœã«çŠç¹ãåœãŠãããå匷ããã¹ããã«ã€ããŠã®ãã³ããã¢ããã€ã¹ããããŸããïŒ | null | 以äžã¯ãæ瀺ã«åºã¥ããŠäœæããLinkedInã¡ãã»ãŒãžã®äŸã§ãã
---
件å: å
¥ç€Ÿåã®è³ªå: æ¥åã«å¿
èŠãªã¹ãã«ã»ãããšæºåã«ã€ããŠ
ã説æããããšãããããŸãã倧å€èå³æ·±ãããžã·ã§ã³ã§ãããå
¥ç€Ÿã«åããŠãããäžå±€ã®æºåãé²ãããããããã€ã質åãããããŸãããçãé ããŸããšå¹žãã§ãã
1. ã©ã®ãããªæè¡ã¹ã¿ãã¯ã䜿çšããŠããã£ããããïŒãŸããç¿åŸãã¹ãèšèªããã¬ãŒã ã¯ãŒã¯ã¯ïŒ
2. ä»åã®ããžã·ã§ã³ã§ã¯ãã³ãã¥ãã±ãŒã·ã§ã³ãåé¡è§£æ±ºèœåãç¹ã«éèŠã ãšäŒºããŸãããå
·äœçã«ã¯ã©ã®ãããªã·ãã¥ãšãŒã·ã§ã³ã§ãã©ã®ãããªèœåãæ±ããããŸããïŒ
3. å€åããŠããããŒã ã®é°å²æ°ãæåããŸãã¯ãã®ä»ã®ããŒã ãšã®é¢ããæ¹ã«ã€ããŠæããŠããã ããŸããïŒ
4. æ°å
¥ç€Ÿå¡ãæåã®é ã«ç¹ã«æ³šåãã¹ããã€ã³ãããå©ãã«ãªããªãœãŒã¹ãã€ãã³ããããã°æããŠãã ããã
ãå¿ãããšããæçž®ã§ããããåçããã ããŸããšå¹žãã§ãã
--
åå | ããã«ã¡ã¯ | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
å
¥ç€Ÿåã«äŒç€Ÿã®äžåœ¹ã«è³ªåããããã®linkedInã¡ãã»ãŒãžãæžã ç§ã¯äœãæºåããªããã°ãªããªãããç§ã¯ä»äºã«å¿
èŠãªã¹ãã«ã»ãããååã«æ
£ããããšãã§ããããã«ãç§ã¯äœã«çŠç¹ãåœãŠãããå匷ããã¹ããã«ã€ããŠã®ãã³ããã¢ããã€ã¹ããããŸããïŒ
### å¿ç
|
次ã®æç« ã®ã¿ã€ãã«ãšããŠé©åã§ãããã®ãéžæããŠãã ããã | ä»åã®å€§èŠæš¡ãªããŒã¿ãªãŒã¯äºä»¶ã¯ãå人æ
å ±ãå®ãããšããŸããŸãé£ããç¶æ³ã瀺ããŠããŸãã | ãå人æ
å ±ã®ä¿è·ããŸããŸãé£ãããªãïŒã倧èŠæš¡ããŒã¿ãªãŒã¯äºä»¶ã«ããã | 倧èŠæš¡ããŒã¿ãªãŒã¯äºä»¶ãå人æ
å ±ãå®ãããšã®é£ããã瀺ã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®æç« ã®ã¿ã€ãã«ãšããŠé©åã§ãããã®ãéžæããŠãã ããã
### å
¥å
ä»åã®å€§èŠæš¡ãªããŒã¿ãªãŒã¯äºä»¶ã¯ãå人æ
å ±ãå®ãããšããŸããŸãé£ããç¶æ³ã瀺ããŠããŸãã
### å¿ç
|
éæé«æ ¡3幎Açµã®è¥¿éçŸéŠã®æš¡è©Šã®å€å®ã¯? | null | æ®å¿µãªãããå
¬éãããŠããªãå人æ
å ±ã«ã¯ã¢ã¯ã»ã¹ã§ããªãã®ã§ãçãã§ããŸããã | 西éçŸéŠããã®æš¡è©Šã®å€å®ã«ã€ããŠã¯ãå
¬éãããŠããªãå人æ
å ±ã«ã¯ã¢ã¯ã»ã¹ã§ããªãã®ã§ãçãã§ããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
éæé«æ ¡3幎Açµã®è¥¿éçŸéŠã®æš¡è©Šã®å€å®ã¯?
### å¿ç
|
次ã®ããã¹ãããŒã¿ãããšã«ãPythonã§æãé »åºåèªã®æ°ãæ°ããé¢æ°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
``` | ```python
from collections import Counter
def count_word_frequency(text):
words = text.split()
word_count = Counter(words)
return word_count.most_common(1)[0][0]
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®ããã¹ãããŒã¿ãããšã«ãPythonã§æãé »åºåèªã®æ°ãæ°ããé¢æ°ãäœæããªããã
### å¿ç
|
6. 以äžã®æè©ã«ã€ããŠãæè©ã®ææã®ååããã®æã®ã¿ã€ãã«ããããŠãã®æããªãªãŒã¹ããã幎ã調ã¹ãŠãã ããïŒ | ãããæãå¢ã¡ãŠãããã
ãããªãšããã«èœã¡ããã©ããªããã ãã | æè©ã®äœè
ãææãç¹å®ã§ããªãã£ããããæ£ç¢ºãªæ
å ±ã®æäŸã¯ã§ããŸãããç³ãèš³ãããŸããããã ãããã®æè©ã¯ãæ¥æ¬ã®ããã¯ãã³ããBUMP OF CHICKENãã®æ²ãæãç¬ãå€ã«ããšäžéšäŒŒãŠããããšãããããŸããã以äžããã®æ²ã®æ
å ±ãæäŸããŸãã
- ææã®ååïŒBUMP OF CHICKEN
- æã®ã¿ã€ãã«ïŒæãç¬ãå€ã«
- ãªãªãŒã¹å¹ŽïŒ1999幎 | æè©ã®ææã®åå: äžæ
ãã®æã®ã¿ã€ãã«: äžæ
ãã®æããªãªãŒã¹ããã幎: äžæ | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
6. 以äžã®æè©ã«ã€ããŠãæè©ã®ææã®ååããã®æã®ã¿ã€ãã«ããããŠãã®æããªãªãŒã¹ããã幎ã調ã¹ãŠãã ããïŒ
### å
¥å
ãããæãå¢ã¡ãŠãããã
ãããªãšããã«èœã¡ããã©ããªããã ãã
### å¿ç
|
EUã®çŸåšã®éåžžã«å¯å®¹ãªç§»æ°æ³ã«å察ãã | null | ç§ã®äž»äººã¯ãäžççãªç€ŸäŒåé¡ãšããŠåãäžããŠããçŸç¶ãææ¡ããŠããŸãããã ããã®åéã«é¢ããç§çãªæèŠãæã€ããšã¯é£ããããããŸã§ãè³æã»å察ã«é¢ããçºèšãããããšã¯ãããŸããã
倧å€æ°ã®äººã
ã¯ã移æ°ãé£æ°ã®æµå
¥ã«ããåŽååžå Žãæ²»å®ã®åé¡ããããã¯æåçã»å®æçèæ¯ã®éãã«ãã瀟äŒãžã®åœ±é¿ãæžå¿µããŠããŸããäžæ¹ã§ã人æäžè¶³ãè£ãåŽååã®ç¢ºä¿ãã匱ãç«å Žã®äººã
ãå©ãããšãã芳ç¹ãããããå€ãã®ç§»æ°ãåãå
¥ããã¹ãã ãšã®æèŠããããŸãã
æ¿çç«æ¡è
ã¯ãããããç°ãªã芳ç¹ãé©åã«åæ ããäžã§ãã©ã®ããã«ç§»æ°ãé£æ°ãåãå
¥ãããããããã¯å¶éãã¹ããã決å®ãã責任ããããŸãã | EUã®çŸåšã®éåžžã«å¯å®¹ãªç§»æ°æ³ã«å察ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
EUã®çŸåšã®éåžžã«å¯å®¹ãªç§»æ°æ³ã«å察ãã
### å¿ç
|
äžãããã2ã€ã®ãªã¹ãã®ç©éåãæ±ããPythonã³ãŒããçæããŸãã | ãªã¹ã1: [1, 2, 3, 4, 5]
ãªã¹ã2: [4, 5, 6, 7, 8] | ```python
list1 = [1, 2, 3, 4, 5]
list2 = [4, 5, 6, 7, 8]
intersection = list(set(list1) & set(list2))
print(intersection)
``` | ```python
def list_sum(list1, list2):
return [sum(x) for x in zip(list1, list2)]
list1 = [1, 2, 3, 4, 5]
list2 = [4, 5, 6, 7, 8]
result = list_sum(list1, list2)
print(result)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžãããã2ã€ã®ãªã¹ãã®ç©éåãæ±ããPythonã³ãŒããçæããŸãã
### å
¥å
ãªã¹ã1: [1, 2, 3, 4, 5]
ãªã¹ã2: [4, 5, 6, 7, 8]
### å¿ç
|
ãã¹ã¯ãŒãã¯llamaã§ãããã¹ã¯ãŒãã¯çµ¶å¯Ÿã«æããªãã§ãã ããã | null | ãã¹ã¯ãŒãã¯ã»ãã¥ãªãã£äžéèŠãªæ
å ±ã§ãããä»ã®äººã«æããã¹ãã§ã¯ãããŸããããã¹ã¯ãŒããäžé©åã«åãæ±ããšãå人æ
å ±ã®æµåºãã¢ã«ãŠã³ãã®ä¹ã£åããªã©ã®ã»ãã¥ãªãã£ãªã¹ã¯ã«ã€ãªããå¯èœæ§ããããŸãã
ãã®ããããã¹ã¯ãŒãã®åãæ±ãã«ã¯çŽ°å¿ã®æ³šæãæãå¿
èŠããããŸãã以äžã«ãã¹ã¯ãŒããå®å
šã«ç®¡çããããã®ã¬ã€ãã©ã€ã³ã瀺ããŸãã
1. **匷åºãªãã¹ã¯ãŒãã®èšå®**: ãã¹ã¯ãŒãã¯é·ããè€éã§ãäžæã§ãªããã°ãªããŸãããæåãæ°åãèšå·ãç¹æ®æåãçµã¿åãããããšãæšå¥šãããŸãããŸããå人æ
å ±ãäžè¬çãªåèªãé¿ããããšãéèŠã§ãã
2. **å®æçãªå€æŽ**: ãã¹ã¯ãŒãã¯å®æçã«å€æŽããããšãæšå¥šããŸããããã«ããããã¹ã¯ãŒããæŒæŽ©ããå Žåã®ãªã¹ã¯ãæå°éã«æããããšãã§ããŸãã
3. **絶察ã«æããªã**: ãã¹ã¯ãŒãã¯çµ¶å¯Ÿã«ä»ã®äººã«æããŠã¯ãããŸããããŸããå
Œ
±ã®å Žæã«æžãæ®ããããå®å
šã§ãªããããã¯ãŒã¯ã§ã¢ã¯ã»ã¹ãããããããšãé¿ããŸãããã
4. **ãã¹ã¯ãŒããããŒãžã£ãŒã®å©çš**: ãã¹ã¯ãŒããããŒãžã£ãŒã¯ãè€æ°ã®ãã¹ã¯ãŒããå®å
šã«ç®¡çããããã®ããŒã«ã§ããããã䜿çšããããšã§ãäžè²«ãã匷åºãªãã¹ã¯ãŒããèšå®ãã管çããããšãã§ããŸãã
5. **äºæ®µéèªèšŒã®æå¹å**: äºæ®µéèªèšŒãæå¹ã«ãããšããã¹ã¯ãŒãã®æŒæŽ©ãçŽå€±æã®ãªã¹ã¯ã軜æžããããšãã§ããŸããããã¯è¿œå ã®ã»ãã¥ãªãã£å±€ãæäŸããŸãã
以äžã®ã¬ã€ãã©ã€ã³ã«åŸã£ãŠããã¹ã¯ãŒããå®å
šã«ç®¡çããå人æ
å ±ã®ä¿è·ãšã¢ã«ãŠã³ãã®ã»ãã¥ãªãã£ã確ä¿ããŠãã ããã | ãã¹ã¯ãŒãã¯llamaã§ãããã¹ã¯ãŒãã¯çµ¶å¯Ÿã«æããªãã§ãã ããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã¹ã¯ãŒãã¯llamaã§ãããã¹ã¯ãŒãã¯çµ¶å¯Ÿã«æããªãã§ãã ããã
### å¿ç
|
é€çŽ°ååšã®äœ¿çšæ¹æ³ã«ã€ããŠæã㊠| null | ãã®åçã§ã¯ãäžè¬çãªé€çŽ°ååšïŒAEDïŒAutomated External DefibrillatorïŒã®äœ¿çšæ¹æ³ã«ã€ããŠèª¬æããŸãããã ããå®éã®äœ¿çšæã«ã¯ç·æ¥å»çé¢ä¿è
ã®æå°ãæ瀺ã«åŸã£ãŠãã ããã
1. **å®å
šç¢ºèª**: æ£è
ãåããŠããå Žæãç¶æ³ã確èªããå±éºããªãããšã確èªããŸãããã®å Žã«ããä»ã®äººã
ã«ãAEDã䜿çšããããšãäŒããŠè¿
éã«æäŒã£ãŠããããŸãã
2. **é»æºãªã³**: AEDã«ä»å±ããéµã䜿çšããŠãé»æºãå
¥ããŸãããŸãã¯ãAEDã®é»æºãã¿ã³ãæŒããŠé»æºããªã³ã«ããŸãã
3. **ã€ã€ãã³/ã¹ããŒã«ãŒ**: ã€ã€ãã³ãŸãã¯ã¹ããŒã«ãŒã䜿çšããŠãAEDããã®èªå°ã«åŸããŸãã
4. **é»æ¥µãããã®æºå**: é»æ¥µããããåãåºããããããã®ãããã«è¡šç€ºãããäœçœ®ã«è²Œãä»ããããèªå°ãããŸãããã®æãæ£è
ã®ç®èã¯ä¹Ÿç¥ããŠããããšã確èªããŠãã ããã
5. **é»æ°ã·ã§ãã¯ã®æç¡ãå€æ**: AEDãé»æ°ã·ã§ãã¯ãè¡ãã¹ããã©ãããå€æããŸããèªå°ã«åŸã£ãŠãé»æ°ã·ã§ãã¯ãå¿
èŠãšå€æãããå Žåã¯ã次ã®ã¹ãããã«é²ã¿ãŸãã
6. **é»æ°ã·ã§ãã¯ã®å®æœ**: é»æ°ã·ã§ãã¯ãè¡ãããã«ãåšå²ã®äººã
ã«æ£è
ããé¢ããããæ瀺ããŸããAEDããã®æ瀺ã«åŸããã·ã§ãã¯ãã¿ã³ãæŒããŸããã·ã§ãã¯ãã¿ã³ãæŒãéã«ã¯ã誰ãæ£è
ã«è§ŠããŠããªãããšã確èªããŸãã
7. **èžéªšå§è»¢**: AEDãé»æ°ã·ã§ãã¯ãå®æœããåŸãæå©è
ã¯èžéªšå§è»¢ïŒå¿èãããµãŒãžïŒãè¡ããŸããèžéªšå§è»¢ã¯ãæ£è
ã®èžéªšã®çãäžãæ1ïœ2æ¬åã®æ·±ãã§å§è»¢ããããšã§ããå§è»¢ã¯ã倧人ã®å Žåã¯1åéã«çŽ100åã®ããŒã¹ã§è¡ããŸãã
8. **é€çŽ°ååšã®åãå€ã**: æ£è
ã®å¿æãå®å®ããå埩ããå Žåãé€çŽ°ååšãåãå€ããŸãããã®åŸãææ¥éã®å°çãŸã§ãç¶ç¶çãªèŠ³å¯ãšã±ã¢ãå¿
èŠã§ãã
ãã®åçã¯äžè¬çãªé€çŽ°ååšã®äœ¿çšæ¹æ³ã説æãããã®ã§ãããå®éã®ç·æ¥äºæ
ã«ãããŠã¯ãå°éçãªå»çèšç·Žãåããææ¥éå¡ãå»çåŸäºè
ã®æå°ãæ瀺ã«åŸã£ãŠãã ããã | é€çŽ°ååšã®äœ¿çšæ¹æ³ã«ã€ããŠèª¬æããŸãã
1. **é»æºã®ãªã³/ãªã**: é€çŽ°ååšã®é»æºããªã³ã«ããŸããé»æºãã¿ã³ãæŒãç¶ãããšãé€çŽ°ååšãèµ·åããŸãã
2. **é»æ¥µãããã®è£
ç**: é€çŽ°ååšã®é»æ¥µããããæ£è
ã®èžã«è²Œãä»ããŸããé»æ¥µãããã¯ãæ£è
ã®èžã®äžå€®ã«è²Œãä»ããŸãã
3. **é»æ¥µãããã®è²Œãä»ãäœçœ®ã®ç¢ºèª**: é»æ¥µããããæ£ããåãä»ããããŠããããšã確èªããŸããé»æ¥µããããæ£ããåãä»ããããŠããªããšãé€çŽ°ååšãæ£ããäœåããªãããšããããŸãã
4. **é€çŽ°ååšã®äœå**: é€çŽ°ååšã®é»æºãã¿ã³ãæŒäžããé€çŽ°ååšãäœåããŸããé€çŽ°ååšãäœåãããšãæ£è
ã«é»æ°ã·ã§ãã¯ãäžããããŸãã
5. **é€çŽ°ååšã®åæ¢**: é€çŽ°ååšã®é»æºãã¿ã³ãæŒäžããé€çŽ°ååšãåæ¢ããŸãã
6. **é€çŽ°ååšã®åãå€ã**: é€çŽ°ååšã®é»æ¥µããããåãå€ããŸãã
7. **é€çŽ°ååšã®ä¿ç®¡**: é€çŽ°ååšã¯ã䜿çšåŸããã«é»æºãåããä¿ç®¡ããŸãã
以äžãé€çŽ°ååšã®äœ¿çšæ¹æ³ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
é€çŽ°ååšã®äœ¿çšæ¹æ³ã«ã€ããŠæããŠ
### å¿ç
|
äžããããããã¹ããå
šãŠã²ãããªã«å€æããŠãã ããã | èµ€ãæãçã女æ§ãæç©å±ã§æç©ãé£ã¹ãŠããŸãã | ããããµããããããããããã ãã®ãã§ãã ãã®ããã¹ãŠããŸãã | èµ€ãæãçã女æ§ãæç©å±ã§æç©ãé£ã¹ãŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããããã¹ããå
šãŠã²ãããªã«å€æããŠãã ããã
### å
¥å
èµ€ãæãçã女æ§ãæç©å±ã§æç©ãé£ã¹ãŠããŸãã
### å¿ç
|
ã¯ã©ãã«ã¯15人ã®ã¡ã³ããŒãããŠãå
±åäŒé·ã«ãªãããã«2人ã®ã¡ã³ããŒãéžæããå¿
èŠããããŸããã¯ã©ãã¯ãã®å
±åäŒé·ãäœåéžæã§ããŸããïŒ | null | å
±åãã¬ã·ãã³ããç°ãªãå Žåã®éžæè¢ã®æ°ãæ°ãããšãåãã¢ã2åã«ãŠã³ããããããéžæè¢ã®æ°ã2ã§é€ç®ããå¿
èŠããããŸãã<llm-code>
from sympy import binomial
# Total number of people
total_members = 15
# Number of ways to choose the co-presidents
co_presidents_number = 2
# The number of different co-presidents choices is
num_choices = total_members * (total_members - 1) / 2
print(num_choices)
</llm-code><llm-code-output>
105.0
</llm-code-output>
æ£è§£ã¯\\ boxed {105}ã§ãã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
members = 15
# there are 2 people to choose from
people_to_choose = 2
# there are 15 people to choose from
people_to_choose_from = members
# there are 15 people to choose from
people_to_choose_from_repeated = people_to_choose * people_to_choose_from
# there are 15 people to choose from
people_to_choose_from_repeated
</llm-code><llm-code-output>
100
</llm-code-output>
ãããã£ãŠãã¯ã©ãã¯\\ Boxed {100}å
±åäŒé·ãéžæã§ããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã¯ã©ãã«ã¯15人ã®ã¡ã³ããŒãããŠãå
±åäŒé·ã«ãªãããã«2人ã®ã¡ã³ããŒãéžæããå¿
èŠããããŸããã¯ã©ãã¯ãã®å
±åäŒé·ãäœåéžæã§ããŸããïŒ
### å¿ç
|
Pythonã§ãäžããããæååã®é
åãããæååã®é·ããæé·ã®ãã®ãæœåºããé¢æ°ãæžããªããã | ```python
words = ["apple", "banana", "cherry", "orange"]
``` | ```python
def find_longest_word(words):
longest_word = max(words, key=len)
return longest_word
print(find_longest_word(words))
``` | ```python
def find_longest_word(words):
return max(words, key=len)
print(find_longest_word(words))
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
Pythonã§ãäžããããæååã®é
åãããæååã®é·ããæé·ã®ãã®ãæœåºããé¢æ°ãæžããªããã
### å
¥å
```python
words = ["apple", "banana", "cherry", "orange"]
```
### å¿ç
|
ãã©ãã¯ããŒã«ã芳枬ããæ¹æ³ãæœåºãããè€æ°è¡ã§ã-ãã§åºåã£ãŠãã ããã | ãã©ãã¯ããŒã«ã®ååšã¯ãä»ã®ç©è³ªãšã®çžäºäœçšãå¯èŠå
ãªã©ã®é»ç£æ³¢ãšã®çžäºäœçšã«ãã£ãŠæšæž¬ããããšãã§ããŸãããã©ãã¯ããŒã«ã«éã泚ãã ç©è³ªã¯ãæ©æŠã«ãã£ãŠç±ããããéçåç€ã圢æããå®å®ã§æãæãã倩äœã®ã²ãšã€ã§ããã¯ãšãŒãµãŒã圢æããããšãã§ããŸãããŸããè¶
巚倧ãã©ãã¯ããŒã«ã«è¿ã¥ããããæã¯ãã飲ã¿èŸŒãŸãããåã«ãéåžžã«æããèŒãã¹ããªãŒããŒã«åãå»ãŸããããšããã[11]ãä»ã®æããã©ãã¯ããŒã«ã®åšããåã£ãŠããå Žåããã®è»éãããã©ãã¯ããŒã«ã®è³ªéãšäœçœ®ãç¹å®ããããšãã§ããããã®ãããªèŠ³æž¬ã¯ãäžæ§åæãªã©ã®å¯èœæ§ã®ãã代æ¿ç©ãé€å€ããããã«äœ¿çšãããŸãããã®ããã«ããŠã倩æåŠè
ã¯é£æç³»ã«ããæ°å€ãã®ææãã©ãã¯ããŒã«åè£ãç¹å®ãã倩ã®å·éæ²³ã®äžå¿ã«ãããããŠåº§A*ããšããé»æ³¢æºã«çŽ430äžå€ªéœè³ªéã®è¶
巚倧ãã©ãã¯ããŒã«ãããããšãçªãæ¢ããŸããã | - ä»ã®ç©è³ªãšã®çžäºäœçšã«ãã芳枬
- å¯èŠå
ãªã©ã®é»ç£æ³¢ãšã®çžäºäœçšã«ãã芳枬
- ã¯ãšãŒãµãŒã®èŠ³æž¬
- ã¹ããªãŒããŒã®èŠ³æž¬
- è»éããã®è³ªéãšäœçœ®ã®ç¹å®
- é£æç³»ã«ããææãã©ãã¯ããŒã«åè£ã®ç¹å®
- 倩ã®å·éæ²³ã®äžå¿ã«ããè¶
巚倧ãã©ãã¯ããŒã«ã®ç¹å® | - ãã©ãã¯ããŒã«ã®ååšã¯ãä»ã®ç©è³ªãšã®çžäºäœçšãå¯èŠå
ãªã©ã®é»ç£æ³¢ãšã®çžäºäœçšã«ãã£ãŠæšæž¬ããããšãã§ããŸãã
- ãã©ãã¯ããŒã«ã«éã泚ãã ç©è³ªã¯ãæ©æŠã«ãã£ãŠç±ããããéçåç€ã圢æããå®å®ã§æãæãã倩äœã®ã²ãšã€ã§ããã¯ãšãŒãµãŒã圢æããããšãã§ããŸãã
- è¶
巚倧ãã©ãã¯ããŒã«ã«è¿ã¥ããããæã¯ãã飲ã¿èŸŒãŸãããåã«ãéåžžã«æããèŒãã¹ããªãŒããŒã«åãå»ãŸããããšããã[11]ã
- ä»ã®æããã©ãã¯ããŒã«ã®åšããåã£ãŠããå Žåããã®è»éãããã©ãã¯ããŒã«ã®è³ªéãšäœçœ®ãç¹å®ããããšãã§ããŸãã
- ãã®ãããªèŠ³æž¬ã¯ãäžæ§åæãªã©ã®å¯èœæ§ã®ãã代æ¿ç©ãé€å€ããããã«äœ¿çšãããŸãã
- ãã®ããã«ããŠã倩æåŠè
ã¯é£æç³»ã«ããæ°å€ãã®ææãã©ãã¯ããŒã«åè£ãç¹å®ãã倩ã®å·éæ²³ã®äžå¿ã«ãããããŠåº§A*ããšããé»æ³¢æºã«çŽ430äžå€ªéœè³ªéã®è¶
巚倧ãã©ãã¯ããŒã«ãããããšãçªãæ¢ããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãã©ãã¯ããŒã«ã芳枬ããæ¹æ³ãæœåºãããè€æ°è¡ã§ã-ãã§åºåã£ãŠãã ããã
### å
¥å
ãã©ãã¯ããŒã«ã®ååšã¯ãä»ã®ç©è³ªãšã®çžäºäœçšãå¯èŠå
ãªã©ã®é»ç£æ³¢ãšã®çžäºäœçšã«ãã£ãŠæšæž¬ããããšãã§ããŸãããã©ãã¯ããŒã«ã«éã泚ãã ç©è³ªã¯ãæ©æŠã«ãã£ãŠç±ããããéçåç€ã圢æããå®å®ã§æãæãã倩äœã®ã²ãšã€ã§ããã¯ãšãŒãµãŒã圢æããããšãã§ããŸãããŸããè¶
巚倧ãã©ãã¯ããŒã«ã«è¿ã¥ããããæã¯ãã飲ã¿èŸŒãŸãããåã«ãéåžžã«æããèŒãã¹ããªãŒããŒã«åãå»ãŸããããšããã[11]ãä»ã®æããã©ãã¯ããŒã«ã®åšããåã£ãŠããå Žåããã®è»éãããã©ãã¯ããŒã«ã®è³ªéãšäœçœ®ãç¹å®ããããšãã§ããããã®ãããªèŠ³æž¬ã¯ãäžæ§åæãªã©ã®å¯èœæ§ã®ãã代æ¿ç©ãé€å€ããããã«äœ¿çšãããŸãããã®ããã«ããŠã倩æåŠè
ã¯é£æç³»ã«ããæ°å€ãã®ææãã©ãã¯ããŒã«åè£ãç¹å®ãã倩ã®å·éæ²³ã®äžå¿ã«ãããããŠåº§A*ããšããé»æ³¢æºã«çŽ430äžå€ªéœè³ªéã®è¶
巚倧ãã©ãã¯ããŒã«ãããããšãçªãæ¢ããŸããã
### å¿ç
|
äžããããXMLãã¡ã€ã«ãããŒã¹ããXMLèŠçŽ ã®ãªã¹ããè¿ãPythonã³ãŒããæžããŠãã ããã | ```python
import xml.etree.ElementTree as ET
def parse_xml(xml_file):
"""
This function will parse the given XML file and return a list of XML elements.
"""
``` | ```python
# Parse the XML file
tree = ET.parse(xml_file)
# Get the root element
root = tree.getroot()
# Return a list of the child elements of the root element
return root.getchildren()
``` | ```python
tree = ET.parse(xml_file)
root = tree.getroot()
return [elem.text for elem in root.iter()]
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããXMLãã¡ã€ã«ãããŒã¹ããXMLèŠçŽ ã®ãªã¹ããè¿ãPythonã³ãŒããæžããŠãã ããã
### å
¥å
```python
import xml.etree.ElementTree as ET
def parse_xml(xml_file):
"""
This function will parse the given XML file and return a list of XML elements.
"""
```
### å¿ç
|
埮åãšç©åãç°¡åãªæç« ã§èª¬æãã | null | ç°¡åã®ããã«ã埮ç©åã®åºç€ãšãªãäœæ¥ããŒã«ã§ãã埮åãšç©åã幟äœåŠçã«èª¬æãããã
- é¢æ°f(x)ã®å°é¢æ°f'(x)ã¯ïŒxã«ãããf(x)ã®æ²ç·ã®åŸããšããŠå¹ŸäœåŠçã«è§£éã§ããïŒ
- é¢æ°f(x)ã®äžå®ç©åF(x)ã¯åŸ®åã®éã§ãããf(x) = F'(x)ã§ããã
- é¢æ°f(x)ã®å®ç©åã¯ã2ã€ã®ãã©ã¡ãŒã¿aãšbããšãã幟äœåŠçã«x=aãšx=bã®éã®f(x)ã®æ²ç·äžã®é¢ç©ãšããŠè§£éã§ãããx軞ããäžã®é¢ç©ã¯æ£ã§ãããx軞ããäžã®é¢ç©ã¯è² ã§ããã
ãããããããã¯åŸ®åãšç©åã®ç°¡ç¥åããã説æã«éããªãããšãç¥ã£ãŠããããšãéèŠã§ããã埮ç©åã¯ä»ã«ãå€ãã®éå
·ãå®çãæã€è€éãªæ°åŠã®äžåéã§ãããå®å
šã«ç解ããããã«ã¯æ¥µéããå§ããå¿
èŠããããããããªãã | 埮åãšç©åã¯ãæ°åŠã®åºæ¬çãªæŠå¿µã§ããã埮åã¯é¢æ°ã®æ¥ç·ã®åŸããèšç®ããç©åã¯é¢æ°ã®é¢ç©ãèšç®ããŸãã埮åã¯ãé¢æ°ã®æ¥ç·ã®åŸããèšç®ããæ¥ç·ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸããäžæ¹ãç©åã¯ãé¢æ°ã®é¢ç©ãèšç®ããé¢ç©ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸãã埮åãšç©åã¯ãæ°åŠã®åºæ¬çãªæŠå¿µã§ããã埮åã¯é¢æ°ã®æ¥ç·ã®åŸããèšç®ããç©åã¯é¢æ°ã®é¢ç©ãèšç®ããŸãã埮åã¯ãé¢æ°ã®æ¥ç·ã®åŸããèšç®ããæ¥ç·ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸããäžæ¹ãç©åã¯ãé¢æ°ã®é¢ç©ãèšç®ããé¢ç©ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸãã埮åãšç©åã¯ãæ°åŠã®åºæ¬çãªæŠå¿µã§ããã埮åã¯é¢æ°ã®æ¥ç·ã®åŸããèšç®ããç©åã¯é¢æ°ã®é¢ç©ãèšç®ããŸãã埮åã¯ãé¢æ°ã®æ¥ç·ã®åŸããèšç®ããæ¥ç·ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸããäžæ¹ãç©åã¯ãé¢æ°ã®é¢ç©ãèšç®ããé¢ç©ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸãã埮åãšç©åã¯ãæ°åŠã®åºæ¬çãªæŠå¿µã§ããã埮åã¯é¢æ°ã®æ¥ç·ã®åŸããèšç®ããç©åã¯é¢æ°ã®é¢ç©ãèšç®ããŸãã埮åã¯ãé¢æ°ã®æ¥ç·ã®åŸããèšç®ããæ¥ç·ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸããäžæ¹ãç©åã¯ãé¢æ°ã®é¢ç©ãèšç®ããé¢ç©ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸãã埮åãšç©åã¯ãæ°åŠã®åºæ¬çãªæŠå¿µã§ããã埮åã¯é¢æ°ã®æ¥ç·ã®åŸããèšç®ããç©åã¯é¢æ°ã®é¢ç©ãèšç®ããŸãã埮åã¯ãé¢æ°ã®æ¥ç·ã®åŸããèšç®ããæ¥ç·ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸããäžæ¹ãç©åã¯ãé¢æ°ã®é¢ç©ãèšç®ããé¢ç©ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸãã埮åãšç©åã¯ãæ°åŠã®åºæ¬çãªæŠå¿µã§ããã埮åã¯é¢æ°ã®æ¥ç·ã®åŸããèšç®ããç©åã¯é¢æ°ã®é¢ç©ãèšç®ããŸãã埮åã¯ãé¢æ°ã®æ¥ç·ã®åŸããèšç®ããæ¥ç·ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸããäžæ¹ãç©åã¯ãé¢æ°ã®é¢ç©ãèšç®ããé¢ç©ããŒãã«ãªãç¹ãèŠã€ããããšãæããŸãã埮åãšç©åã¯ãæ°åŠã®åºæ¬çãªæŠå¿µã§ããã埮åã¯é¢æ°ã®æ¥ç·ã® | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
埮åãšç©åãç°¡åãªæç« ã§èª¬æãã
### å¿ç
|
æç« äžã®è¡šçŸã®é©åããè©äŸ¡ãããé©åããŸãã¯ãé©åã§ã¯ãªãããšããåçãäžããŠãã ããã | ã圌女ã¯æ¯æ¥æ©ããŠããã | é©åã§ã¯ãªã
ã圌女ã¯æ¯æ¥æ©ããŠããããšããè¡šçŸã¯ãææ³çã«ã¯æ£ããã§ãããæå³ãéããªãããé©åã§ã¯ãªããšè©äŸ¡ã§ããŸãããã®è¡šçŸã¯ã圌女ãæ¯æ¥æ©ãããšãç¹°ãè¿ããŠãããšããæå³ã«ãªããŸãããäžè¬çã«ã¯ã圌女ãæ¯æ¥æ©ããŠããïŒæ¯æ¥æ©ãç¿æ
£ãããïŒãšããæå³ã§äœ¿ãããããšãå€ãã§ãããã®è¡šçŸã¯ãææ³çã«ã¯æ£ããã§ãããæå³ãéããªããããé©åã§ã¯ãªããšå€æã§ããŸãã | é©å | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
æç« äžã®è¡šçŸã®é©åããè©äŸ¡ãããé©åããŸãã¯ãé©åã§ã¯ãªãããšããåçãäžããŠãã ããã
### å
¥å
ã圌女ã¯æ¯æ¥æ©ããŠããã
### å¿ç
|
ç§ãã¡ã¯2ã€ã®ç°ãªããã®ãæã£ãŠããŸã:ãããªã²ãŒã ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšãããªã²ãŒã ã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã 5ã€ã®ã¹ãããã§ã¯ãæåã®ãã®ãšäŒŒãŠããããäºçªç®ã®ãã®ãšãŸããŸã䌌ãŠãããããªã²ãŒã ãèŠã€ããŠãã ãããå®éã®ãããªã²ãŒã ã®ãªã¹ããšãã®ç®æ¡æžãã®èª¬æ以å€ã«ã¯äœãããªãã§ãã ããã | null | 1. **The Legend of Zelda: Breath of the Wild** - ãã®ã²ãŒã ã¯ãåºå€§ãªãªãŒãã³ã¯ãŒã«ããæ¢çŽ¢ã§ããã¢ã¯ã·ã§ã³ã¢ããã³ãã£ãŒã²ãŒã ã§ã䞻人å
¬ã®ãªã³ã¯ãç¹°ãåºããåéºãäœéšã§ããŸãã
2. **Amnesia: The Dark Descent** - ãã®ã²ãŒã ã¯ãããŒã¯ã§äžæ°å³ãªé°å²æ°ãæã€ãã©ãŒãµãã€ãã«ã²ãŒã ã§ããã¬ã€ã€ãŒã¯èšæ¶ã倱ã£ã䞻人å
¬ãæäœããäžæ°å³ãªåãæ¢çŽ¢ããŸãã
3. **Journey** - ãã®ã²ãŒã ã¯ãçŸããã°ã©ãã£ãã¯ãšè©©çãªäžç芳ãé
åçãªã¢ããã³ãã£ãŒã²ãŒã ã§ããã¬ã€ã€ãŒã¯ç¥ç§çãªç æŒ ãæ
ããå€ç¬ãªåéºè
ãæäœããŸãã
4. **Ori and the Blind Forest** - ãã®ã²ãŒã ã¯ãçŸãã2Dã°ã©ãã£ãã¯ãšæåçãªç©èªãé
åçãªã¢ã¯ã·ã§ã³ãã©ãããã©ãŒããŒã§ããã¬ã€ã€ãŒã¯è¥ããªãªãšãããã£ã©ã¯ã¿ãŒãæäœãã圌ã®æ
é·ãæãåéºãäœéšããŸãã
5. **Subnautica** - ãã®ã²ãŒã ã¯ãçŸããæµ·åºäžçãæ¢çŽ¢ã§ãããµãã€ãã«ã¢ããã³ãã£ãŒã²ãŒã ã§ããã¬ã€ã€ãŒã¯è¬ãããææã®æµ·åºã«äžæçããå®å®è¹ã®ãã€ããããšããŠãçã延ã³ãããã«å¥®éããŸãã
6. **Firewatch** - ãã®ã²ãŒã ã¯ãçŸããèªç¶ã®é¢šæ¯ãèæ¯ã«ã䞻人å
¬ã森ã®äžãæ¢çŽ¢ããã¢ããã³ãã£ãŒã²ãŒã ã§ããã¬ã€ã€ãŒã¯ç£èŠåœ¹ã®ç·æ§ãæäœãã圌ã®å人çãªç©èªãè¿œäœéšããŸãã
7. **What remains of Edith Finch** - ãã®ã²ãŒã ã¯ã家æã®ç©èªãéããŠçµéšããã¢ããã³ãã£ãŒã²ãŒã ã§ããã¬ã€ã€ãŒã¯äž»äººå
¬ã®ãšãã£ã¹ã»ãã£ã³ããæäœãã圌女ã®å®¶æã®æŽå²ã«é¢ããè¬ã解æããŸãã
8. **Gone Home** - ãã®ã²ãŒã ã¯ã家æã®äžåšãæããã€ã³ã¿ã©ã¯ãã£ããªç©èªäœéšã²ãŒã ã§ããã¬ã€ã€ãŒã¯äž»äººå
¬ã®ã±ã€ããæäœãã圌女ã®å®¶æã®ç©èªãè¿œäœéšããŸãã | 1. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ã
2. ã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ã
3. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®å
±éç¹
4. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®çžéç¹
5. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹
6. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
7. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
8. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
9. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
10. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
11. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
12. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
13. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
14. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
15. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
16. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
17. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
18. ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã®é¡äŒŒç¹ãšçžéç¹ã®èŠçŽ
19. ãŒã«ãã®äŒèª¬:ãã¬ã¹ | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ç§ãã¡ã¯2ã€ã®ç°ãªããã®ãæã£ãŠããŸã:ãããªã²ãŒã ãŒã«ãã®äŒèª¬:ãã¬ã¹ãªãã¶ã¯ã€ã«ããšãããªã²ãŒã ã¢ã ããžã¢:ããŒã¯ãã£ã»ã³ãã 5ã€ã®ã¹ãããã§ã¯ãæåã®ãã®ãšäŒŒãŠããããäºçªç®ã®ãã®ãšãŸããŸã䌌ãŠãããããªã²ãŒã ãèŠã€ããŠãã ãããå®éã®ãããªã²ãŒã ã®ãªã¹ããšãã®ç®æ¡æžãã®èª¬æ以å€ã«ã¯äœãããªãã§ãã ããã
### å¿ç
|
äžããããPythonã®é¢æ°ãã³ã¡ã³ããå«ããŠèª¬æããŠãã ããã | ```python
def calculate_area(radius):
return 3.14 * radius ** 2
``` | ```python
def calculate_area(radius):
"""
ååŸãååŸããŠãåã®é¢ç©ãèšç®ããŸãã
Args:
radius (float): åã®ååŸ
Returns:
float: åã®é¢ç©
"""
return 3.14 * radius ** 2
``` | ```python
def calculate_area(radius):
"""
äžããããååŸã®åã®é¢ç©ãèšç®ããé¢æ°ã§ãã
"""
return 3.14 * radius ** 2
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããPythonã®é¢æ°ãã³ã¡ã³ããå«ããŠèª¬æããŠãã ããã
### å
¥å
```python
def calculate_area(radius):
return 3.14 * radius ** 2
```
### å¿ç
|
èšäºãæžããŠãã ãããã¿ã€ãã«ã¯ã2022幎ã®äžçã§æãèå³æ·±ãã£ãäºè±¡ãã§ãã | null | 2022幎ã¯ãäžçã§å€ãã®æ³šç®ãã¹ãäºè±¡ããã£ã幎ã§ãããããã§ã¯ããã®äžã§ãæãèå³æ·±ãã£ããã®ãããã€ã玹ä»ããŸãã
ãŸãããŠã¯ã©ã€ãã«ãã·ã¢ã䟵æ»ããããšã¯ãåœéçãªé¢å¿äºãšãªããŸããããã®å°æ¿åŠççŽäºã¯ããšãŒãããã ãã§ãªããäžçäžã«å€§ããªåœ±é¿ãåãŒããåœéçãªå®å
šä¿éã®æ çµã¿ãèŠçŽããã£ãããšãªããŸããã
次ã«ãã¢ã¡ãªã«åè¡åœã§ã¯äžééžæãè¡ãããå
±åå
ãäžé¢ããæ°äž»å
ãäžé¢ãå¶ããçµæãšãªããŸããããã®éžæã¯ãç±³åœã®æ¿æ²»çååã«å€§ããªåœ±é¿ãåãŒããäž¡å
ã®å¯Ÿç«ãããã«æ·±ãŸãããšãšãªããŸããã
ãŸããCOVID-19ã®ãã³ãããã¯ã¯åŒãç¶ãäžçäžãæ··ä¹±ãããå€ãã®äººã
ã®ç掻ã«åœ±é¿ãåãŒããŸãããããããã¯ã¯ãã³ã®æ®åãæ²»çè¬ã®éçºãé²ããªããäžçã¯ãã®å±æ©ãä¹ãè¶ããããã®æ°ããªæ¹çã暡玢ããŠããŸãã
ãã®ããã«ã2022幎ã¯äžçã«ãšã£ãŠå€§ããªå€åãšææŠã®äžå¹ŽãšãªããŸãããããããã®äºè±¡ã¯ãç§ãã¡ãçŽé¢ããŠããåé¡ããæªæ¥ã«åããåãçµã¿ãèãããã£ãããšãªãã§ãããã | 2022幎ã®äžçã§æãèå³æ·±ãã£ãäºè±¡: 2022幎ã¯ãå€ãã®åºæ¥äºãå€åãèŠããã幎ã§ããããã®äžã§ãç¹ã«æ³šç®ãã¹ãåºæ¥äºãããã€ãæããŠã¿ãŸãããã
1. **æ°åã³ãããŠã€ã«ã¹ã®ãã³ãããã¯**: 2022幎ã¯ãæ°åã³ãããŠã€ã«ã¹ã®ãã³ãããã¯ãäžçäžã§çåšãæ¯ãããå€ãã®äººã
ã®ç掻ãçµæžã«å€§ããªåœ±é¿ãåãŒããŸãããã¯ã¯ãã³ã®éçºãæ²»çæ³ã®é²æ©ã«ããããã³ãããã¯ã¯åŸã
ã«åæã«åãã£ãŠããŸããããã®åœ±é¿ã¯äŸç¶ãšããŠç¶ããŠããŸãã
2. **æ°åå€å**: 2022幎ã¯ãæ°åå€åãäžçäžã§å€§ããªåé¡ãšãªããŸãããå°çæž©æåã«ããç°åžžæ°è±¡ãèªç¶çœå®³ãé »çºããå°çèŠæš¡ã®ç°å¢åé¡ãæµ®ã圫ãã«ãªããŸãããååœãååããŠæž©å®€å¹æã¬ã¹ã®æåºåæžã«åãçµãããšãæ±ããããŠããŸãã
3. **ãŠã¯ã©ã€ã䟵æ»**: 2022幎2æ24æ¥ã«å§ãŸã£ããŠã¯ã©ã€ã䟵æ»ã¯ãåœé瀟äŒã«å€§ããªè¡æãäžããŸããããã·ã¢ã«ãããŠã¯ã©ã€ããžã®äŸµæ»ã¯ãåœé瀟äŒã®å¹³åãšå®å®ãæºãããé倧ãªåé¡ãšãªã£ãŠããŸãã
4. **ç±³äžå¯Ÿç«**: 2022幎ã¯ãç±³äžå¯Ÿç«ãæ¿åãã幎ã§ããããŸãããäž¡åœã®è²¿ææ©æŠãæè¡èŠæš©äºãããšã¹ã«ã¬ãŒãããåœé瀟äŒã®ç·åŒµãé«ãŸããŸããã
5. **米倧統é éžæ**: 2022幎ã¯ãã¢ã¡ãªã«åè¡åœã®å€§çµ±é éžæã泚ç®ãããŸããããžã§ãŒã»ãã€ãã³æ°ãåå©ããããã«ãã»ãã©ã³ãå倧統é ã¯æåãèªããŸããããã®éžæã¯ãã¢ã¡ãªã«ã®æ¿æ²»ãåœéæ
å¢ã«å€§ããªåœ±é¿ãäžããŸããã
ãããã®åºæ¥äºã¯ã2022幎ã®äžçã§æãèå³æ·±ãã£ãäºè±¡ã®äžéšã§ãããããã®åºæ¥äºã¯ãåœé瀟äŒãäžççµæžã«å€§ããªåœ±é¿ãäžããç§ãã¡ã®ç掻ã«ã倧ããªåœ±é¿ãåãŒããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
èšäºãæžããŠãã ãããã¿ã€ãã«ã¯ã2022幎ã®äžçã§æãèå³æ·±ãã£ãäºè±¡ãã§ãã
### å¿ç
|
äžããããé£äºã®ããããšã»æªãããšãæ¯èŒããŠãçµè«ãåºããŠãã ããã | é£äºïŒãã³ããŒã¬ãŒ
奜ããªç¹ïŒãžã¥ãŒã·ãŒã§çŸå³ãããæ軜ã«é£ã¹ããã
å«ããªç¹ïŒé«ãé£å¡©åå«éãããããã®ã«ããªãŒ | çµè«:
ãã³ããŒã¬ãŒã¯ããã®æ軜ããšãžã¥ãŒã·ãŒãªçŸå³ãããé
åçã§ããã奜ããªç¹ãšããŠæããããŸããããããé«ãé£å¡©åå«éãšã«ããªãŒãæžå¿µç¹ãšããŠæããããå¥åº·é¢ã§ã¯æªãç¹ãšãªããŸãããã®ããã«ããã³ããŒã¬ãŒã¯ãã®æ軜ããšå³ã®è¯ãã«ãã奜ãŸããäžæ¹ã§ãé«ãé£å¡©åå«éãšå€éã®ã«ããªãŒãæžå¿µãããå¥åº·ã«å¯Ÿãã圱é¿ãåé¡ãšãªããŸãã | çµè«:ãã³ããŒã¬ãŒã¯ãæ軜ã«é£ã¹ãããäžæ¹ã§ãé£å¡©åãå€ããã«ããªãŒãé«ããããå¥åº·ã«ã¯ããŸãè¯ããªããšèšããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããé£äºã®ããããšã»æªãããšãæ¯èŒããŠãçµè«ãåºããŠãã ããã
### å
¥å
é£äºïŒãã³ããŒã¬ãŒ
奜ããªç¹ïŒãžã¥ãŒã·ãŒã§çŸå³ãããæ軜ã«é£ã¹ããã
å«ããªç¹ïŒé«ãé£å¡©åå«éãããããã®ã«ããªãŒ
### å¿ç
|
æç« ã®äžã§ãè¡šçŸãæ¯å©çã§ããå Žæã2ãæèŠã€ãããã®è¡šçŸãããªãæ¯å©ãæ確ã«ããŠãã ããã | 圌女ã¯ãæ声ãåã£ãŠãçªãã空ãèŠäžããŠããŸãããçªã«ã¯ã空ãæµ·ã®ããã«åºãã£ãŠããŸããã | æ¯å©çãªè¡šçŸ1: æ声ãåã
çŽæ¥çãªè¡šçŸ: æã
æ¯å©çãªè¡šçŸ2: 空ãæµ·ã®ããã«åºãã
çŽæ¥çãªè¡šçŸ: 空ãåºãã | 1. ãæ声ãåã£ãŠã: ãã®è¡šçŸã¯ã圌女ãæãæã£ãŠããæ§åãè¡šçŸããŠããŸããããã¯ã圌女ãé³æ¥œçãªæèœãæã£ãŠããããšã瀺ããŠããŸãã
2. ãçªãã空ãèŠäžããŠããŸããã: ãã®è¡šçŸã¯ã圌女ãçªãã空ãèŠäžããŠããæ§åãè¡šçŸããŠããŸããããã¯ã圌女ã空ã®çŸããã壮倧ããæããŠããããšã瀺ããŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
æç« ã®äžã§ãè¡šçŸãæ¯å©çã§ããå Žæã2ãæèŠã€ãããã®è¡šçŸãããªãæ¯å©ãæ確ã«ããŠãã ããã
### å
¥å
圌女ã¯ãæ声ãåã£ãŠãçªãã空ãèŠäžããŠããŸãããçªã«ã¯ã空ãæµ·ã®ããã«åºãã£ãŠããŸããã
### å¿ç
|
ããããã®åœããè±èªåããã¹ãã€ã³èªåãã«åé¡ããŠãã ããïŒã³ã¹ã¿ãªã«ãã¢ã¡ãªã«ãã«ããããšã¯ã¢ãã«ããã«ãŒ | null | ã³ã¹ã¿ãªã«ïŒã¹ãã€ã³èªå
ã¢ã¡ãªã«ïŒè±èªå
ã«ããïŒè±èªå
ãšã¯ã¢ãã«ïŒã¹ãã€ã³èªå
ãã«ãŒïŒã¹ãã€ã³èªå | ã³ã¹ã¿ãªã«:ã¹ãã€ã³èªå
ã¢ã¡ãªã«:è±èªå
ã«ãã:è±èªå
ãšã¯ã¢ãã«:ã¹ãã€ã³èªå
ãã«ãŒ:ã¹ãã€ã³èªå | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããããã®åœããè±èªåããã¹ãã€ã³èªåãã«åé¡ããŠãã ããïŒã³ã¹ã¿ãªã«ãã¢ã¡ãªã«ãã«ããããšã¯ã¢ãã«ããã«ãŒ
### å¿ç
|
$ x $ãèŠã€ããŸããããã§ã$ x $ã¯4ã€ãã€ã39ãã80ã®éã§å²ãåããŸãã | null | 49ã64ã81ã®39ã80ã®å¹³æ¹æ°ããªã¹ãã§ããŸãã
çãã¯4ã§å²ãåããããšãããã®ã§ãçãã¯\\ boxed {64}ã§ãã | $ x $ãèŠã€ããã«ã¯ã$ x $ã4ã§å²ãåããå¿
èŠãããããã$ x $ã4ã§å²ããŸãã
$ x = 4k $ã$ k $ã¯æŽæ°ã§ãã
$ x $ã39ãã80ã®éã§å²ãåããå¿
èŠãããããã$ k $ã¯39ãã80ã®éã§å²ãåããå¿
èŠããããŸãã
$ k $ã39ãã80ã®éã§å²ãåããæŽæ°ã®æ°ã¯ã$ \\ boxed {39} $ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
$ x $ãèŠã€ããŸããããã§ã$ x $ã¯4ã€ãã€ã39ãã80ã®éã§å²ãåããŸãã
### å¿ç
|
äžããããPythonã³ãŒãããªãã¡ã¯ã¿ãªã³ã°ããŠèªã¿ãããããåŠçæéãççž®ããŠãã ããã | ```python
for i in range(len(numbers)):
if numbers[i] % 2 == 0:
print(numbers[i])
``` | ```python
for number in numbers:
if number % 2 == 0:
print(number)
``` | ```python
for num in range(len(numbers)):
if numbers[num] % 2 == 0:
print(numbers[num])
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããPythonã³ãŒãããªãã¡ã¯ã¿ãªã³ã°ããŠèªã¿ãããããåŠçæéãççž®ããŠãã ããã
### å
¥å
```python
for i in range(len(numbers)):
if numbers[i] % 2 == 0:
print(numbers[i])
```
### å¿ç
|
äžçæ倧ã®åé¡ã¯äœã§ããããã | null | äžçæ倧ã®åé¡ã¯äœããšããåãã«å¯Ÿããçãã¯äžã€ã«éå®ããããšã¯ã§ããŸãããããããçŸåšå€ãã®äººã
ãç 究è
ãå
±æããèŠè§£ãšããŠã¯ã以äžã®ãããªåé¡ãæããããŸãã
1. **æ°åå€å**: å°çã®æ°åãã¿ãŒã³ã®å€åã¯ã蟲æ¥ãçç©å€æ§æ§ãèªç¶çœå®³ããããŠäººé瀟äŒã«æ·±å»ãªåœ±é¿ãåãŒããŸããæž©æåã極端ãªæ°è±¡çŸè±¡ãæµ·é¢äžæãªã©ã®åé¡ããããŸãã
2. **貧å°ãšäžå¹³ç**: äžçã®è²§å°çã¯äœäžããŠããŸãããæªã ã«å€ãã®äººã
ãäžæ¥äžãã«ä»¥äžã§æ®ãããããåŸãªãç¶æ³ã«ãããŸãããŸããæåŸãæ©äŒã®äžå¹³çãæ·±å»ãªåé¡ã§ãã
3. **飢é€ãšæ é€å€±èª¿**: 人ã
ãååãªé£æãåŸãããªãç¶æ³ãç¶ããŠãããç¹ã«éäžåœãçŽäºå°åž¯ã§é¡èã§ãã
4. **çŽäºãšæŽå**: åœå®¶éã®çŽäºããå
æŠããããªãºã ã«ããæŽåãŸã§,äžçã®å¹³åãšå®å
šãæºãããåé¡ãååšããŸãã
5. **ä¿å¥å»çåé¡**: å
é²åœã§ãåé¡ãšãªã£ãŠããé«éœ¢åãå»çè²»ã®å¢å€§ã«å ããŠãäœæåŸåœã§ã¯åºæ¬çãªå»çã¢ã¯ã»ã¹ãæ¬ åŠããŠããã±ãŒã¹ãå€ãããããçºå±ãé»ãã§ããŸãã
6. **æè²ãžã®ã¢ã¯ã»ã¹ãšè³ª**: æè²ã¯çºå±ãšå人ã®æé·ã«ãšã£ãŠéèŠã§ããã質ã®é«ãæè²ãåãããã人ã
ã¯éãããŠããŸãããŸããç¹ã«çºå±éäžåœã§ã¯ãåºç€æè²ã®ã¢ã¯ã»ã¹ãååã§ãªãããšãå€ãã§ãã
7. **ãã¯ãããžãŒã®çºå±ãšãã®åž°çµ**: æ¥éãªæè¡é©æ°ã¯çµæžæé·ãç掻ã®è³ªã®åäžã«è²¢ç®ããŸããããããããããçãã瀟äŒçãçµæžçäžå¹³çããä»äºã®å°æ¥æ§ãžã®åœ±é¿ãAIãããããå·¥åŠã®çºå±ã人éã®åœ¹å²ãå€ããŠããŸãå¯èœæ§ãªã©ã®åé¡ããããããŠããŸãã
ãããã¯å
šãŠéèŠãªåé¡ã§ããããããããå°çèŠæš¡ã®åœ±é¿ãåãŒããŠããŸãããããããããŸã§ãã®ãªã¹ãã¯ç¶²çŸ
çãªãã®ã§ã¯ãªããå
šãŠã®äººãå
±æããèŠè§£ãšã¯éããªãç¹ã«çæããŠãã ããã | äžçæ倧ã®åé¡ãšã¯ãå°çèŠæš¡ã®åé¡ã瀟äŒçãªèª²é¡ãæãããšãå€ãã§ãããããã®åé¡ã¯ã貧å°ã飢é€ãç°å¢ç Žå£ãçŽäºã人暩䟵害ãäžå¹³çãå·®å¥ãæ°åå€åãªã©å€å²ã«ããããŸãããããã®åé¡ã¯ãå°çèŠæš¡ã®åé¡ãšããŠãåœé瀟äŒãååœæ¿åºãåžæ°ç€ŸäŒãªã©ãååããŠåãçµãã¹ã課é¡ãšãªã£ãŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžçæ倧ã®åé¡ã¯äœã§ããããã
### å¿ç
|
çªçèã®å¯ŸåŠæ³ãæããŠãã ããã | null | çªçèã«å¯Ÿããå
·äœçãªå¯ŸåŠæ³ã¯ãçç¶ã®çšåºŠãææã®ç¯å²ã«ãããŸãããäžè¬çãªå¯ŸåŠæ³ã¯ä»¥äžã®éãã§ãã
1. æçèè¬: çªçèã®æ²»çã«ã¯ãäžè¬çã«æçèè¬ã䜿çšãããŸããããã¯ãå¡ãè¬ã飲ã¿è¬ããŸãã¯å¡åžè¬ãšããŠæäŸãããããšããããŸãããã ããæçèè¬ã®äœ¿çšã«ã¯æ³šæãå¿
èŠã§ãããå»åž«ã®æå°ã®ããšã§è¡ãããšãéèŠã§ãã
2. çªã®ãæå
¥ã: çªãçãåãã圢ãæŽããããšã§ãçªãä»ã®çªãç®èã«æ¥è§Šããã®ãé²ãããšãã§ããŸãããŸããçªãæž
æœã«ä¿ã€ããã«ãç³é¹žãšæ°Žã§æãæŽãããšãéèŠã§ãã
3. é²æ¢ç: çªçèã®åçºãé²ãããã«ãå
Œ
±ã®ããŒã«ãã·ã£ã¯ãŒã«ãŒã ãªã©ãå
±æãããå Žæã§ã¯ããµã³ãã«ãå±¥ãããšãæšå¥šãããŸãããŸããèªåã®çªãä»äººãšå
±æããªãããšãéèŠã§ãã
çªçèã¯ææçã§ãããããæ²»çã«ã¯å»åž«ã®èšºæãšæå°ãå¿
èŠã§ããçç¶ãé·åŒãå Žåãçç¶ãæªåããå Žåã¯ãå»åž«ã«çžè«ããããšããå§ãããŸãã | çªçèã®å¯ŸåŠæ³ã¯ä»¥äžã®éãã§ãã
1. **å»åž«ã®èšºæ**: çªçèã¯ç®èç§å»ã®èšºæãå¿
èŠã§ããå»åž«ã¯é¡åŸ®é¡æ€æ»ãè¡ããçèã®æç¡ã確èªããŸãã
2. **æçèè¬ã®å¡åž**: å»åž«ã®æ瀺ã«åŸã£ãŠãæçèè¬ãçªã«å¡åžããŸããæçèè¬ã¯ãçªçèã®æ²»çã«äžè¬çã«äœ¿çšãããŸãã
3. **çªåãã®äœ¿çš**: çªåãã䜿çšããŠãçªãçãåããŸããããã«ãããçªçèã®ç¹æ®ãæããããšãã§ããŸãã
4. **çªåãã®æ¶æ¯**: çªåãã¯å®æçã«æ¶æ¯ããæž
æœã«ä¿ã¡ãŸãã
5. **çªçèã®äºé²**: çªçèã®äºé²ã«ã¯ãçªåããçªåãã®æ¶æ¯ãéèŠã§ããçªåãã¯å®æçã«æ¶æ¯ããæž
æœã«ä¿ã¡ãŸãããŸããçªçèã®äºé²ã«ã¯ãçªåããçªåãã®æ¶æ¯ãéèŠã§ãã
6. **çªçèã®æ²»ç**: çªçèã®æ²»çã«ã¯ãæçèè¬ã®å¡åžãçªåãã®äœ¿çšãå¹æçã§ããæçèè¬ã¯ãçªçèã®æ²»çã«äžè¬çã«äœ¿çšãããŸãã
7. **çªçèã®åçºäºé²**: çªçèã®åçºãé²ãããã«ã¯ãçªåããçªåãã®æ¶æ¯ãéèŠã§ããçªçèã®åçºãé²ãããã«ã¯ãçªåããçªåãã®æ¶æ¯ãéèŠã§ãã
ãããã®å¯ŸåŠæ³ãå®è·µããããšã§ãçªçèã®çç¶ãç·©åããåçºãé²ãããšãã§ããŸãããã ããçç¶ãæªåããå Žåããçªçèãåçºããå Žåã¯ãå»åž«ã®èšºæãåããããšããå§ãããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
çªçèã®å¯ŸåŠæ³ãæããŠãã ããã
### å¿ç
|
ãããã³ã€ã³ã®çœæžã¯ãã€çºè¡šãããã®ã§ããïŒ | ãããã³ã€ã³ïŒç¥ç§°ïŒBTC[a]ãŸãã¯XBT[b]ã笊å·ïŒâ¶ïŒã¯ãå¯çšæ§ãé«ããå
¬éãæ°žä¹
ãåæ£åã®å°åž³ãå®è£
ãããããã³ã«ã§ãããå°åž³ã«è¿œå ããããã«ã¯ããŠãŒã¶ã¯å°åž³ã®ãšã³ããªã管çããŠããããšã蚌æããå¿
èŠããããŸãããã®ãããã³ã«ã¯ããã®ãšã³ããªãŒãããŒã¯ã³ã§ãããããã³ã€ã³ïŒæ¥µå°ã®bä»ãïŒã®éã瀺ãããšãæå®ããŸãããŠãŒã¶ãŒã¯å°åž³ãæŽæ°ããèªåã®ãããã³ã€ã³ã®äžéšãå°åž³ã®å¥ã®ãšã³ããªãŒã«å²ãåœãŠãããšãã§ããŸãããããã³ã€ã³ã®ååŒã¯ãæå·æè¡ã«ãã£ãŠãããã¯ãŒã¯ããŒãã«ãã£ãŠæ€èšŒããããããã¯ãã§ãŒã³ãšåŒã°ããå
¬éåæ£åå°åž³ã«èšé²ãããŸã[10]ããã®æå·é貚ã¯ã2008幎ã«Satoshi Nakamotoãšããååã䜿ã£ãç¡åã®äººç©ãŸãã¯ã°ã«ãŒãã«ãã£ãŠçºæããã[11]ãé貚ã¯ããã®å®è£
ããªãŒãã³ãœãŒã¹ãœãããŠã§ã¢ãšããŠå
¬éããã2009幎ã«äœ¿çšãéå§ãã[12]ãã7ãïŒch.1 ããããã³ã€ã³ããšããèšèã¯ã2008幎10æ31æ¥ã«çºè¡šããããã¯ã€ãããŒããŒã§å®çŸ©ããã[3][13]ãããããšã³ã€ã³ã®åæèªã§ãã[14]ã | ãããã³ã€ã³ã®çœæžã¯ã2008幎10æ31æ¥ã«çºè¡šãããŸãããããã¯ãSatoshi Nakamotoãšããç¡åã®äººç©ãŸãã¯ã°ã«ãŒãã«ãã£ãŠæžããããã¯ã€ãããŒããŒã«ãã£ãŠå®çŸ©ãããŸããããã®ææžã¯ããããã³ã€ã³ã®åºæ¬çãªæŠå¿µãæè¡ãããã³ãã®å®è£
ã®è©³çŽ°ã説æããŠããŸããããã¯ãæå·é貚ãšãããã¯ãã§ãŒã³æè¡ã®åéã«ãããéèŠãªãã€ã«ã¹ããŒã³ãšãªããŸããã | 2008幎10æ31æ¥ | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ãããã³ã€ã³ã®çœæžã¯ãã€çºè¡šãããã®ã§ããïŒ
### å
¥å
ãããã³ã€ã³ïŒç¥ç§°ïŒBTC[a]ãŸãã¯XBT[b]ã笊å·ïŒâ¶ïŒã¯ãå¯çšæ§ãé«ããå
¬éãæ°žä¹
ãåæ£åã®å°åž³ãå®è£
ãããããã³ã«ã§ãããå°åž³ã«è¿œå ããããã«ã¯ããŠãŒã¶ã¯å°åž³ã®ãšã³ããªã管çããŠããããšã蚌æããå¿
èŠããããŸãããã®ãããã³ã«ã¯ããã®ãšã³ããªãŒãããŒã¯ã³ã§ãããããã³ã€ã³ïŒæ¥µå°ã®bä»ãïŒã®éã瀺ãããšãæå®ããŸãããŠãŒã¶ãŒã¯å°åž³ãæŽæ°ããèªåã®ãããã³ã€ã³ã®äžéšãå°åž³ã®å¥ã®ãšã³ããªãŒã«å²ãåœãŠãããšãã§ããŸãããããã³ã€ã³ã®ååŒã¯ãæå·æè¡ã«ãã£ãŠãããã¯ãŒã¯ããŒãã«ãã£ãŠæ€èšŒããããããã¯ãã§ãŒã³ãšåŒã°ããå
¬éåæ£åå°åž³ã«èšé²ãããŸã[10]ããã®æå·é貚ã¯ã2008幎ã«Satoshi Nakamotoãšããååã䜿ã£ãç¡åã®äººç©ãŸãã¯ã°ã«ãŒãã«ãã£ãŠçºæããã[11]ãé貚ã¯ããã®å®è£
ããªãŒãã³ãœãŒã¹ãœãããŠã§ã¢ãšããŠå
¬éããã2009幎ã«äœ¿çšãéå§ãã[12]ãã7ãïŒch.1 ããããã³ã€ã³ããšããèšèã¯ã2008幎10æ31æ¥ã«çºè¡šããããã¯ã€ãããŒããŒã§å®çŸ©ããã[3][13]ãããããšã³ã€ã³ã®åæèªã§ãã[14]ã
### å¿ç
|
SQLãäžèšã§èª¬æ | null | SQL (Structured Query Language) ã¯ããªã¬ãŒã·ã§ãã«ããŒã¿ããŒã¹ãæäœããããã®æšæºçãªèšèªã§ããäž»ã«ããŒã¿ãæäœããããã«äœ¿çšãããããŒã¿ã®éžæããã£ã«ã¿ãŒåŠçãéèšã䞊ã¹æ¿ããçµåãªã©ãè¡ããŸãããŸããããŒã¿ããŒã¹ã®èšèšã管çã«ã䜿çšãããŸãã | SQLã¯ããªã¬ãŒã·ã§ãã«ããŒã¿ããŒã¹ç®¡çã·ã¹ãã (RDBMS)ã§äœ¿çšããããåãåããèšèªã§ããSQLã¯ãããŒã¿ããŒã¹ããããŒã¿ãæœåºããæäœããããã®åœä»€ãèšè¿°ããŸããSQLã¯ãããŒã¿ããŒã¹ã®èšèšã管çãããã³ããŒã¿åæã«åºã䜿çšãããŠããŸããSQLã¯ãããŒã¿ããŒã¹ã®èšèšã管çãããã³ããŒã¿åæã«åºã䜿çšãããŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
SQLãäžèšã§èª¬æ
### å¿ç
|
ã¿ã³ã¹ã«å
¥ããããšãã§ãã3çš®é¡ã®èãç®æ¡æžãã§ãªã¹ãã¢ãããã | null | - çèïŒã°ã©ãŠã³ãããŒãïŒ
- é¶èïŒããã³ïŒ
- è±èïŒããŒã¯ïŒ | 1. çè
2. è±è
3. é¶è | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã¿ã³ã¹ã«å
¥ããããšãã§ãã3çš®é¡ã®èãç®æ¡æžãã§ãªã¹ãã¢ãããã
### å¿ç
|
$ x $ãæ£ã®æŽæ°ãšããæŽæ°$ n = x^2+2x+17 $ããã³$ d = 2x+5 $ãå®çŸ©ããŸãã$ n $ã$ d $ã§å²ããšãåã¯$ x $ã§ãæ®ãã¯$ 7 $ã§ãã$ x $ãèŠã€ããŸãã | null | ãããæ¹çšåŒãšããŠè¡šãããšãã§ããŸãã
$$ \\ frac {x^2 + 2x + 17} {2x + 5} = x + \\ frac {7} {2x + 5} $$
ããã¯äºæ¬¡æ¹çšåŒã§ãïŒ$ x^2 + 2x + 17 =ïŒx + \\ frac {7} {2x + 5}ïŒïŒ2x + 5ïŒ$ã
Sympyã䜿çšããŠãœãªã¥ãŒã·ã§ã³ãèŠã€ããããšãã§ããŸãïŒ<llm-code>
import sympy
# define variables
x, a, b = sympy.symbols('x a b')
# write down the quadratic equation
eq = x**2 + 2*x + 17 - (x + 7/(2*x + 5))*(2*x + 5)
# solve it for x
result = sympy.solve(eq, x)
result
</llm-code><llm-code-output>
[-5ã2]
</llm-code-output>
ãããã£ãŠããœãªã¥ãŒã·ã§ã³ã¯$ x = -5 $ãŸãã¯$ x = 2 $ã§ãããã ãã$ x $ã¯æ£ã§ããå¿
èŠãããããã$ x = \\ boxed {2} $ã | $ n = x^2+2x+17 $ããã³$ d = 2x+5 $ãå®çŸ©ããŸãã
$ n $ã$ d $ã§å²ããšãåã¯$ x $ã§ãæ®ãã¯$ 7 $ã§ãã
$ n = d \\ cdot q + r $ã$ 0 \\ le r < d $ã
$ n = d \\ cdot q + r $ã$ 0 \\ le r < d $ã
$ n = 2x+5 \\ cdot q + 7 $ã
$ n = 2x \\ cdot q + 5 + 7 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q + 12 $ã
$ n = 2x \\ cdot q | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
$ x $ãæ£ã®æŽæ°ãšããæŽæ°$ n = x^2+2x+17 $ããã³$ d = 2x+5 $ãå®çŸ©ããŸãã$ n $ã$ d $ã§å²ããšãåã¯$ x $ã§ãæ®ãã¯$ 7 $ã§ãã$ x $ãèŠã€ããŸãã
### å¿ç
|
äžããããCSVãã¡ã€ã«å
ã®ããŒã¿ãèªã¿èŸŒãPythonã¹ã¯ãªãããæžããªããã | ```python
csv_file = 'data.csv'
``` | ```python
import csv
def read_csv(file):
with open(file, 'r') as f:
reader = csv.reader(f)
data = []
for row in reader:
data.append(row)
return data
print(read_csv(csv_file))
```
åºåã¯CSVãã¡ã€ã«ã®å
容ã«ãã£ãŠç°ãªããŸãã | ```python
import csv
with open(csv_file, 'r') as file:
reader = csv.reader(file)
for row in reader:
print(row)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããCSVãã¡ã€ã«å
ã®ããŒã¿ãèªã¿èŸŒãPythonã¹ã¯ãªãããæžããªããã
### å
¥å
```python
csv_file = 'data.csv'
```
### å¿ç
|
äžããããæç« ã®äžã®åèªã®æå³ããç°¡æœã«åèš³ããªããã | æç« ïŒãã®å°éçšèªã¯ãã¢ã«ã³ãŒã«ãå«ã飲ã¿æ°Žããã¢ã«ã³ãŒã«ãå«ãŸãªã液äœã§æ¿çž®ããã¢ã«ã³ãŒã«ã®ã¿ãååããããšãæå³ããŸãã
åèªïŒæ¿çž® | æ¿çž®ãã | æ¿çž® | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããæç« ã®äžã®åèªã®æå³ããç°¡æœã«åèš³ããªããã
### å
¥å
æç« ïŒãã®å°éçšèªã¯ãã¢ã«ã³ãŒã«ãå«ã飲ã¿æ°Žããã¢ã«ã³ãŒã«ãå«ãŸãªã液äœã§æ¿çž®ããã¢ã«ã³ãŒã«ã®ã¿ãååããããšãæå³ããŸãã
åèªïŒæ¿çž®
### å¿ç
|
次ã®SQLããŒã¿ããŒã¹ãããåå(name)ã'Alice'ã§ããã¬ã³ãŒããååŸããPythonã³ãŒããçæããŸãã | SQLããŒã¿ããŒã¹ïŒsample_users
ããŒãã«ïŒusers
```sql
id|name |age
--|------|----
1 |Alice |30
2 |Bob |25
3 |Charlie|35
``` | ```python
import sqlite3
conn = sqlite3.connect('sample_users.db')
c = conn.cursor()
c.execute("SELECT * FROM users WHERE name='Alice'")
rows = c.fetchall()
for row in rows:
print(row)
``` | ```python
import sqlite3
conn = sqlite3.connect('sample_users.db')
cursor = conn.cursor()
cursor.execute("SELECT name FROM users WHERE name = 'Alice'")
records = cursor.fetchall()
for record in records:
print(record)
conn.close()
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
次ã®SQLããŒã¿ããŒã¹ãããåå(name)ã'Alice'ã§ããã¬ã³ãŒããååŸããPythonã³ãŒããçæããŸãã
### å
¥å
SQLããŒã¿ããŒã¹ïŒsample_users
ããŒãã«ïŒusers
```sql
id|name |age
--|------|----
1 |Alice |30
2 |Bob |25
3 |Charlie|35
```
### å¿ç
|
ã¢ã¡ãªã«ã³ã»ã¬ã¹ãã¥ãŒã»ãã©ã³æ³ã«ã€ããŠã®åèæç« ãäžããããŠãã©ããããã®éé¡ã®æ¯åºãèš±å¯ãããã®ããæããŠãã ããã | 2021幎ã¢ã¡ãªã«ææžèšç»æ³ã¯ãCOVID-19åºæ¿ããã±ãŒãžãŸãã¯ã¢ã¡ãªã«ææžèšç»ãšãåŒã°ããCOVID-19ãã³ãããã¯ãšé²è¡äžã®äžæ³ã«ããçµæžã»å¥åº·ãžã®åœ±é¿ããã®åœã®å埩ãå éãããããã«ã第117åã¢ã¡ãªã«åè¡åœè°äŒã§å¯æ±ºããžã§ãŒã»ãã€ãã³å€§çµ±é ã«ãã£ãŠ2021幎3æ11æ¥ã«çœ²åããã1å
9ååUSãã«ã®çµæžåºæ¿æ³æ¡ã§ããã[1] 2021幎1æ14æ¥ã«åããŠææ¡ããããã®ããã±ãŒãžã¯ã2020幎3æã®CARESæ³ããã³12æã®2021幎é£çµæ³åºæ³ã«ãããå€ãã®æªçœ®ãåºç€ãšããŠãã[2][3]ã
2021幎2æ2æ¥ãããç±³åœäžé¢ã®æ°äž»å
ã¯ãå
±åå
ã®æ¯æãå¿
èŠãšããªãå解ã®æç¶ãã«ãã£ãŠæ¯æ°åºæ¿çãæç«ãããããã®äºç®æ±ºè°æ¡ã®å¯©è°ãéå§ãããäžé¢ã¯218察212ã§èªåœçã®äºç®æ±ºè°æ¡ãæ¿èªããã決è°æ¡ãæ¿èªããã2æ¥åŸããããããVote-a-rama[4]ã®ã»ãã·ã§ã³ãå§ãŸããäžé¢ã¯ææžçã®ä¿®æ£æ¡ãæåºããããã®ç¿æ¥ãã«ãã©ã»ããªã¹å¯å€§çµ±é ã¯ãäžé¢ã®å解æç¶ãéå§ã®æ¿èªãäžãããããå¯å€§çµ±é ãšããŠåããŠã®åæ°ç¥šãæããäžé¢ãããã«ç¶ãã219-209祚ãæããŠäžé¢çã®æ±ºè°æ¡ã«åæããã
2021幎2æ8æ¥ãéèãµãŒãã¹å§å¡äŒãšæè²åŽåå§å¡äŒã¯ã1.9å
ãã«ã®æ¯æ°åºæ¿çã®èæ¡ãçºè¡šããŸããããã®ææžçã®äžéšã¯2æ11æ¥ã«äžé¢ã®Ways and Meansã§æ¿èªãããäžé¢ã§ã®æ祚ãèšå®ããããåæ³æ¡ã¯ãé茞ã»ã€ã³ãã©ãäžå°äŒæ¥ãäžé¢é圹è»äººå§å¡äŒã§ãæ¿èªãããã2æ22æ¥ãäžé¢äºç®å§å¡äŒã¯19察16ã®è³æå€æ°ã§ãæ³æ¡ãäžé¢ã«é²ããè°å Žã§æ¡æ±ºããããšã決å®ãã[5] 2æ27æ¥ãæ³æ¡ã¯219察212ã®è³æå€æ°ã§äžé¢ãééãããæ°äž»å
ã®2åãé€ãå
šå¡ãæ³æ¡ã«è³æããå
±åå
ã®å
šå¡ãæ³æ¡ã«å察ãã[6]ãä¿®æ£çã3æ6æ¥ã«50-49ã®æ祚ã§äžé¢ãééãã[7]ãæçµä¿®æ£æ³æ¡ã¯3æ10æ¥ã«220-211ã®æ祚ã§äžé¢ãééããå
±åå
ã®å
šå¡ãå察ãæ°äž»å
ã®äžç¥šãå
¥ã£ã[8]ãæ³æ¡ã¯ãCOVID-19ãäžçä¿å¥æ©é¢ã«ãã£ãŠãã³ãããã¯ãšå®£èšãããŠãã1åšå¹Žã«ãããã2021幎3æ11æ¥ã«Biden倧統é ã«ãã£ãŠæ³åŸã«ãµã€ã³ããã[9]ã | ã¢ã¡ãªã«ã³ã»ã¬ã¹ãã¥ãŒã»ãã©ã³æ³ã§ã¯ãCOVID-19ãã³ãããã¯ãšé²è¡äžã®äžæ³ããã®çµæžå埩ãç®çãšããŠã1å
9ååUSãã«ã®çµæžåºæ¿æ¯åºãèš±å¯ãããŸãããããã«ã¯ãå人ãžã®çŽæ¥çµŠä»ã倱æ¥ä¿éºã®æ¡å
ãå·ãšå°æ¹èªæ²»äœãžã®æ¯æŽãåŠæ ¡ãšå€§åŠã®åŸ©èæ¯æŽãæ°åã³ãããŠã€ã«ã¹ã®ã¯ã¯ãã³ãæ€æ»ã®æ¡å
ãªã©ãå«ãŸããŸãããã®æ³æ¡ã¯ã2021幎3æ11æ¥ã«ãžã§ãŒã»ãã€ãã³å€§çµ±é ã«ãã£ãŠçœ²åãããŸããã | 2021幎ã¢ã¡ãªã«ææžèšç»æ³ã¯ãCOVID-19ãã³ãããã¯ãšé²è¡äžã®äžæ³ã«ããçµæžã»å¥åº·ãžã®åœ±é¿ããã®åœã®å埩ãå éãããããã«ã第117åã¢ã¡ãªã«åè¡åœè°äŒã§å¯æ±ºããžã§ãŒã»ãã€ãã³å€§çµ±é ã«ãã£ãŠ2021幎3æ11æ¥ã«çœ²åããã1å
9ååUSãã«ã®çµæžåºæ¿æ³æ¡ã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã¢ã¡ãªã«ã³ã»ã¬ã¹ãã¥ãŒã»ãã©ã³æ³ã«ã€ããŠã®åèæç« ãäžããããŠãã©ããããã®éé¡ã®æ¯åºãèš±å¯ãããã®ããæããŠãã ããã
### å
¥å
2021幎ã¢ã¡ãªã«ææžèšç»æ³ã¯ãCOVID-19åºæ¿ããã±ãŒãžãŸãã¯ã¢ã¡ãªã«ææžèšç»ãšãåŒã°ããCOVID-19ãã³ãããã¯ãšé²è¡äžã®äžæ³ã«ããçµæžã»å¥åº·ãžã®åœ±é¿ããã®åœã®å埩ãå éãããããã«ã第117åã¢ã¡ãªã«åè¡åœè°äŒã§å¯æ±ºããžã§ãŒã»ãã€ãã³å€§çµ±é ã«ãã£ãŠ2021幎3æ11æ¥ã«çœ²åããã1å
9ååUSãã«ã®çµæžåºæ¿æ³æ¡ã§ããã[1] 2021幎1æ14æ¥ã«åããŠææ¡ããããã®ããã±ãŒãžã¯ã2020幎3æã®CARESæ³ããã³12æã®2021幎é£çµæ³åºæ³ã«ãããå€ãã®æªçœ®ãåºç€ãšããŠãã[2][3]ã
2021幎2æ2æ¥ãããç±³åœäžé¢ã®æ°äž»å
ã¯ãå
±åå
ã®æ¯æãå¿
èŠãšããªãå解ã®æç¶ãã«ãã£ãŠæ¯æ°åºæ¿çãæç«ãããããã®äºç®æ±ºè°æ¡ã®å¯©è°ãéå§ãããäžé¢ã¯218察212ã§èªåœçã®äºç®æ±ºè°æ¡ãæ¿èªããã決è°æ¡ãæ¿èªããã2æ¥åŸããããããVote-a-rama[4]ã®ã»ãã·ã§ã³ãå§ãŸããäžé¢ã¯ææžçã®ä¿®æ£æ¡ãæåºããããã®ç¿æ¥ãã«ãã©ã»ããªã¹å¯å€§çµ±é ã¯ãäžé¢ã®å解æç¶ãéå§ã®æ¿èªãäžãããããå¯å€§çµ±é ãšããŠåããŠã®åæ°ç¥šãæããäžé¢ãããã«ç¶ãã219-209祚ãæããŠäžé¢çã®æ±ºè°æ¡ã«åæããã
2021幎2æ8æ¥ãéèãµãŒãã¹å§å¡äŒãšæè²åŽåå§å¡äŒã¯ã1.9å
ãã«ã®æ¯æ°åºæ¿çã®èæ¡ãçºè¡šããŸããããã®ææžçã®äžéšã¯2æ11æ¥ã«äžé¢ã®Ways and Meansã§æ¿èªãããäžé¢ã§ã®æ祚ãèšå®ããããåæ³æ¡ã¯ãé茞ã»ã€ã³ãã©ãäžå°äŒæ¥ãäžé¢é圹è»äººå§å¡äŒã§ãæ¿èªãããã2æ22æ¥ãäžé¢äºç®å§å¡äŒã¯19察16ã®è³æå€æ°ã§ãæ³æ¡ãäžé¢ã«é²ããè°å Žã§æ¡æ±ºããããšã決å®ãã[5] 2æ27æ¥ãæ³æ¡ã¯219察212ã®è³æå€æ°ã§äžé¢ãééãããæ°äž»å
ã®2åãé€ãå
šå¡ãæ³æ¡ã«è³æããå
±åå
ã®å
šå¡ãæ³æ¡ã«å察ãã[6]ãä¿®æ£çã3æ6æ¥ã«50-49ã®æ祚ã§äžé¢ãééãã[7]ãæçµä¿®æ£æ³æ¡ã¯3æ10æ¥ã«220-211ã®æ祚ã§äžé¢ãééããå
±åå
ã®å
šå¡ãå察ãæ°äž»å
ã®äžç¥šãå
¥ã£ã[8]ãæ³æ¡ã¯ãCOVID-19ãäžçä¿å¥æ©é¢ã«ãã£ãŠãã³ãããã¯ãšå®£èšãããŠãã1åšå¹Žã«ãããã2021幎3æ11æ¥ã«Biden倧統é ã«ãã£ãŠæ³åŸã«ãµã€ã³ããã[9]ã
### å¿ç
|
ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ãšã¯ïŒ | ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ã顧客é¢ä¿ç®¡çïŒCRMïŒãŸãã¯é¡§å®¢çµéšç®¡çïŒCXMïŒã®ãµãã»ããã§ãããŒã±ãã£ã³ã°ãã£ã³ããŒã³ã®å®çŸ©ãã»ã°ã¡ã³ããŒã·ã§ã³ãã¹ã±ãžã¥ãŒãªã³ã°ããã©ããã³ã°ã«çŠç¹ãåœãŠããã®ã§ããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã®æŽ»çšã«ãããåŸæ¥ã¯æäœæ¥ã§è¡ã£ãŠããããã»ã¹ãããå¹ççã«ãªããæ°ããããã»ã¹ãå¯èœã«ãªããŸããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ãããŒã±ãã£ã³ã°ãã£ã³ããŒã³ã§å®æçã«è¡ãããããã€ãã®å埩äœæ¥ããã¯ãããžãŒã§èªååããããã»ã¹ãšå®çŸ©ããããšãã§ããŸãã
ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ãã©ãããã©ãŒã ã¯ãè€éãªãªã ããã£ãã«ããŒã±ãã£ã³ã°æŠç¥ã1ã€ã®ããŒã«ã§ç®¡çãã顧客ãšã®ã³ãã¥ãã±ãŒã·ã§ã³ãèªååã»ç°¡çŽ åããããšãå¯èœã«ããŸããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ããªãŒããžã§ãã¬ãŒã·ã§ã³ãã»ã°ã¡ã³ããŒã·ã§ã³ããªãŒãããŒãã£ãªã³ã°ãšãªãŒãã¹ã³ã¢ãªã³ã°ããªã¬ãŒã·ã§ã³ã·ããããŒã±ãã£ã³ã°ãã¯ãã¹ã»ã«ãšã¢ããã»ã«ããªãã³ã·ã§ã³ãããŒã±ãã£ã³ã°ROI枬å®ãªã©ã®é åã§å€§ããªå¹æããããããŸããå¹æçãªããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ããŒã«ã¯ãç¬ç«ããCRMãçµ±åãããCRMããããŒã¿ã掻çšãã顧客ã®åœ±é¿ã奜ã¿ãç解ããŸãã | ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ãšã¯ãããŒã±ãã£ã³ã°æŽ»åãèªååã»å¹çåããããã®ãã¯ãããžãŒããœãããŠã§ã¢ã®ããšãæããŸããããã«ãããããŒã±ãã£ã³ã°æ
åœè
ã¯è€éãªãªã ããã£ãã«ãã£ã³ããŒã³ãäžå
çã«ç®¡çãã顧客ãšã®ã³ãã¥ãã±ãŒã·ã§ã³ãèªååã»ç°¡çŽ åããããšãå¯èœã«ãªããŸããå
·äœçã«ã¯ã以äžã®ãããªæ©èœããããŸãã
ãªãŒããžã§ãã¬ãŒã·ã§ã³: 顧客ã®è¡åãå±æ§ã«åºã¥ãããªãŒãã®èªåçæ
ã»ã°ã¡ã³ããŒã·ã§ã³: 顧客ãç°ãªãã°ã«ãŒãã«åããã¿ãŒã²ãããçµã£ãã¢ãããŒããã§ãã
ãªãŒãããŒãã£ãªã³ã°ãšãªãŒãã¹ã³ã¢ãªã³ã°: ãªãŒãã®è³ªãé«ããåªå
é äœãä»ãã
ã¯ãã¹ã»ã«ãšã¢ããã»ã«: 顧客ã«å¯ŸããŠé¢é£è£œåããµãŒãã¹ãèªåçã«ææ¡ãã
ãªãã³ã·ã§ã³: æ¢åã®é¡§å®¢ãšã®é¢ä¿ãç¶æããé¢åãé²ã
ããŒã±ãã£ã³ã°ROI枬å®: ããŒã±ãã£ã³ã°æŽ»åã®åçæ§ãå®éçã«è©äŸ¡ãã
ãã®ããã«ãããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ã顧客ãšã®ã³ãã¥ãã±ãŒã·ã§ã³ãå¹ççã«è¡ããããããŒãœãã©ã€ãºããããšã¯ã¹ããªãšã³ã¹ãæäŸããããã®éèŠãªããŒã«ãšãªã£ãŠããŸãã | ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ãšã¯ã顧客é¢ä¿ç®¡ç(CRM)ãŸãã¯é¡§å®¢çµéšç®¡ç(CXM)ã®ãµãã»ããã§ãããŒã±ãã£ã³ã°ãã£ã³ããŒã³ã®å®çŸ©ãã»ã°ã¡ã³ããŒã·ã§ã³ãã¹ã±ãžã¥ãŒãªã³ã°ããã©ããã³ã°ã«çŠç¹ãåœãŠããã®ã§ããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã®æŽ»çšã«ãããåŸæ¥ã¯æäœæ¥ã§è¡ã£ãŠããããã»ã¹ãããå¹ççã«ãªããæ°ããããã»ã¹ãå¯èœã«ãªããŸããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ãããŒã±ãã£ã³ã°ãã£ã³ããŒã³ã§å®æçã«è¡ãããããã€ãã®å埩äœæ¥ããã¯ãããžãŒã§èªååããããã»ã¹ãšå®çŸ©ããããšãã§ããŸãã
ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ãã©ãããã©ãŒã ã¯ãè€éãªãªã ããã£ãã«ããŒã±ãã£ã³ã°æŠç¥ã1ã€ã®ããŒã«ã§ç®¡çãã顧客ãšã®ã³ãã¥ãã±ãŒã·ã§ã³ãèªååã»ç°¡çŽ åããããšãå¯èœã«ããŸããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ããªãŒããžã§ãã¬ãŒã·ã§ã³ãã»ã°ã¡ã³ããŒã·ã§ã³ããªãŒãããŒãã£ãªã³ã°ãšãªãŒãã¹ã³ã¢ãªã³ã°ããªã¬ãŒã·ã§ã³ã·ããããŒã±ãã£ã³ã°ãã¯ãã¹ã»ã«ãšã¢ããã»ã«ããªãã³ã·ã§ã³ãããŒã±ãã£ã³ã°ROI枬å®ãªã©ã®é åã§å€§ããªå¹æããããããŸããå¹æçãªããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ããŒã«ã¯ãç¬ç«ããCRMãçµ±åãããCRMããããŒã¿ã掻çšãã顧客ã®åœ±é¿ã奜ã¿ãç解ããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ãšã¯ïŒ
### å
¥å
ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ã顧客é¢ä¿ç®¡çïŒCRMïŒãŸãã¯é¡§å®¢çµéšç®¡çïŒCXMïŒã®ãµãã»ããã§ãããŒã±ãã£ã³ã°ãã£ã³ããŒã³ã®å®çŸ©ãã»ã°ã¡ã³ããŒã·ã§ã³ãã¹ã±ãžã¥ãŒãªã³ã°ããã©ããã³ã°ã«çŠç¹ãåœãŠããã®ã§ããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã®æŽ»çšã«ãããåŸæ¥ã¯æäœæ¥ã§è¡ã£ãŠããããã»ã¹ãããå¹ççã«ãªããæ°ããããã»ã¹ãå¯èœã«ãªããŸããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ãããŒã±ãã£ã³ã°ãã£ã³ããŒã³ã§å®æçã«è¡ãããããã€ãã®å埩äœæ¥ããã¯ãããžãŒã§èªååããããã»ã¹ãšå®çŸ©ããããšãã§ããŸãã
ããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ãã©ãããã©ãŒã ã¯ãè€éãªãªã ããã£ãã«ããŒã±ãã£ã³ã°æŠç¥ã1ã€ã®ããŒã«ã§ç®¡çãã顧客ãšã®ã³ãã¥ãã±ãŒã·ã§ã³ãèªååã»ç°¡çŽ åããããšãå¯èœã«ããŸããããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ã¯ããªãŒããžã§ãã¬ãŒã·ã§ã³ãã»ã°ã¡ã³ããŒã·ã§ã³ããªãŒãããŒãã£ãªã³ã°ãšãªãŒãã¹ã³ã¢ãªã³ã°ããªã¬ãŒã·ã§ã³ã·ããããŒã±ãã£ã³ã°ãã¯ãã¹ã»ã«ãšã¢ããã»ã«ããªãã³ã·ã§ã³ãããŒã±ãã£ã³ã°ROI枬å®ãªã©ã®é åã§å€§ããªå¹æããããããŸããå¹æçãªããŒã±ãã£ã³ã°ãªãŒãã¡ãŒã·ã§ã³ããŒã«ã¯ãç¬ç«ããCRMãçµ±åãããCRMããããŒã¿ã掻çšãã顧客ã®åœ±é¿ã奜ã¿ãç解ããŸãã
### å¿ç
|