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èŠããããŸãããåæã®ãããªã²ãŒã ã¯ã»ãšãã©ã倧åŠã®ç 究宀ã§äœæãããåŠçãç 究è
ã«ãã£ãŠæ¥œããŸããŠããŸããã
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ã«ãåºãæ®åãå§ããŸãã1972幎ã«ã¯ãã¢ã¿ãªç€Ÿãåžè²©ã®å®¶åºçšã²ãŒã æ©ãPongããçºå£²ãããããæãåæã®åçšãããªã²ãŒã ãšãããŠããŸãã以éããããªã²ãŒã ã¯æ¥éã«é²åããã²ãŒã ãã¶ã€ã³ãã°ã©ãã£ãã¯ãã¹ããŒãªãŒããªã³ã°ã®åäžãªã©ãä»æ¥ã®ã²ãŒã ç£æ¥ã®çºå±ã«è³ããŸãã | æåã®ãããªã²ãŒã ã¯ã1972幎ã«çºå£²ããããã¹ããŒã¹ã€ã³ããŒããŒãã§ããããã¯ããã¬ã€ã€ãŒãç»é¢äžã®æµãåãããã«ãç»é¢äžã®ç¹å®ã®äœçœ®ã«ç§»åããŠæ»æããã²ãŒã ã§ãããã®ã²ãŒã ã¯ãã¢ãŒã±ãŒãã²ãŒã ãšããŠäººæ°ãåãããã®åŸã家åºçšã²ãŒã æ©ãããœã³ã³ã«ã移æ€ãããŸããã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
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### å¿ç
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以äžã®æç« ãæã®åŸãããåã«äžŠã¹æ¿ããŠãã ããã | ç§ãã¡ã¯èª°ããç¥ã£ãŠããããšã§ãã | 誰ããç¥ã£ãŠããããšã§ããç§ãã¡ã¯ã | 誰ããç¥ã£ãŠããããšã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
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### å¿ç
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Blender 3.4.1ã§åäœãããé路網ã®ããã«éãªãåãçµåãã200ã®æ²ç·ãäœæããPythonã¹ã¯ãªãããäœæããŸãã | null | Blender 3.4.1ã§åäœãããé路網ã®ããã«éãªãåãçµåãã200ã®æ²ç·ãäœæããPythonã¹ã¯ãªããã以äžã«ç€ºããŸãïŒ
``py
ã€ã³ããŒã bpy
ã€ã³ããŒãã©ã³ãã
# äœæããã«ãŒãã®æ°ãèšå®
num_curves = 200
# é路網ã®ãµã€ãºãèšå®ãã
ãµã€ãº = 20
# éè·¯ãããã¯ãŒã¯ã®é«ããèšå®ãã
é«ã = 0.5
# ã«ãŒããä¿æããããã«ç©ºã®ãªã¹ããäœæãã
ã«ãŒã = [].
# ã«ãŒããäœæãã
for i in range(num_curves)ïŒ
# æ°ããæ²ç·ãäœæãã
curve = bpy.data.curves.new('Curve', 'CURVE')
curve.dimensions = '3D'
ã¹ãã©ã€ã³ = curve.splines.new('BEZIER')
# æ²ç·ã®å§ç¹ãšçµç¹ãèšå®ãã
start = (random.uniform(-size, size), random.uniform(-size, size), height)
end = (random.uniform(-size, size), random.uniform(-size, size), é«ã)
spline.bezier_points.add(2)
spline.bezier_points[0].co = start
spline.bezier_points[1].co = (start[0] + random.uniform(-size/2, size/2), start[1] + random.uniform(-size/2, size/2), height)
spline.bezier_points[2].co = end
# æ²ç·ãã·ãŒã³ã«è¿œå
obj = bpy.data.objects.new('Curve', curve)
bpy.context.scene.collection.objects.link(obj)
curves.append(obj)
# ã«ãŒãã1ã€ã®ãªããžã§ã¯ãã«ãŸãšãã
bpy.ops.object.select_all(action='DESELECT')
for curve in curvesïŒ
curve.select_set(True)
bpy.context.view_layer.objects.active=curves[0]ã
bpy.ops.object.join()
# ã«ãŒããã¡ãã·ã¥ã«å€æãã
bpy.ops.object.convert(target='MESH')
```
ãã®ã¹ã¯ãªããã¯ãã©ã³ãã ãªå§ç¹ãšçµç¹ãæã€200æ¬ã®ã«ãŒããäœæããããããé路網ã®ããã«èŠãã1ã€ã®ãªããžã§ã¯ãã«ãŸãšããŸãããããã¯ãŒã¯ã®å€§ãããšé«ãã¯ãsizeå€æ°ãšheightå€æ°ãå€æŽããããšã§èª¿æŽã§ããŸãã | Pythonã¹ã¯ãªããã®äŸã§ã:
```python
import bpy
# 200åã®æ²ç·ãäœæ
for i in range(200):
bpy.ops.curve.primitive_bezier_curve_add()
# é路網ã®ããã«çµå
for i in range(200):
for j in range(200):
if i != j:
bpy.ops.curve.primitive_bezier_curve_add()
# é路網ã®ããã«çµå
for i in range(200):
for j in range(200):
if i != j:
bpy.ops.curve.primitive_bezier_curve_add()
```
ãã®ã¹ã¯ãªããã¯ã200åã®æ²ç·ãäœæããããããé路網ã®ããã«çµåããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
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### å¿ç
|
ã欧å·é£åãïŒEuropean UnionïŒã¯ããç±³åœãïŒUnited StatesïŒãšåæ§ã«ãé£éŠå¶ãïŒfederal systemïŒãæ¡çšããŠãããããããšããåäžåœå®¶ãïŒunitary stateïŒã§ããïŒ | null | 欧å·é£åïŒEuropean UnionïŒã¯ããåäžåœå®¶ãïŒunitary stateïŒã§ãã欧å·é£åã¯ã欧å·è«žåœãå
±åã§éå¶ããåœéçµç¹ã§ããããé£éŠå¶ãïŒfederal systemïŒãæ¡çšããŠããããã§ã¯ãããŸããã欧å·é£åã®ã¡ã³ããŒåœã¯ããããç¬èªã®æ¿åºãšæ³åŸãæã¡ã欧å·é£åã®æ±ºå®ãæ¹éã¯ååœã®æ¿åºãå®æœããããšã«ãªããŸãããŸãã欧å·é£åã¯äžã€ã®åœå®¶ã§ã¯ãªããæ¿æ²»ã»çµæžã»ç€ŸäŒãå
±åã§éå¶ããåå®ãçµãã åœã
ã®é£åäœã§ãããã®ããã欧å·é£åã¯ãåäžåœå®¶ãïŒunitary stateïŒãšèŠãªãããšãã§ããŸãã | ã欧å·é£åã(European Union)ã¯ããé£éŠå¶ã(federal system)ãæ¡çšããŠããŸãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
ã欧å·é£åãïŒEuropean UnionïŒã¯ããç±³åœãïŒUnited StatesïŒãšåæ§ã«ãé£éŠå¶ãïŒfederal systemïŒãæ¡çšããŠãããããããšããåäžåœå®¶ãïŒunitary stateïŒã§ããïŒ
### å¿ç
|
äžããããCSVãã¡ã€ã«ããã幎霢ã25æ³æªæºã®äººã®ååãååŸããã³ãŒããæžããªããã | ```
name,age
Alice,24
Bob,30
Carol,22
``` | ```python
import csv
names = []
with open('people.csv', newline='') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
if int(row['age']) < 25:
names.append(row['name'])
print(names)
``` | ```python
import csv
with open('people.csv', 'r') as file:
reader = csv.DictReader(file)
for row in reader:
if int(row['age']) < 25:
print(row['name'])
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
äžããããCSVãã¡ã€ã«ããã幎霢ã25æ³æªæºã®äººã®ååãååŸããã³ãŒããæžããªããã
### å
¥å
```
name,age
Alice,24
Bob,30
Carol,22
```
### å¿ç
|
人éã®ç¥æ§ãšã¯äœããšããããŒããæ¢æ±ããè¯ãæ¬ã¯ãããŸããïŒ | null | ã¯ãã人éã®ç¥æ§ãšããããŒããæ¢æ±ããè¯ãæ¬ãããã€ããããŸãããå§ãã®æ¬ãããã€ã玹ä»ããŸãããïŒ
1.Stephen Jay Gouldè "The Mismeasure of Man" - ãã®æ¬ã¯ç¥èœãã¹ãã®æŽå²ãæ€èšŒããããã人éã®ç¥èœã®æ£ç¢ºãªå°ºåºŠã§ã¯ãªãããšãè«ããŠããŸãã
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# number of friends
friends = 7
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pencils_left
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from sympy import symbols, Eq, solve
# Define the symbols
j, d = symbols('j d')
# Formulate the equations
eq1 = Eq(j, d - 24)
eq2 = Eq(j + d, 68)
# Solve the system of equations
solution = solve((eq1, eq2), (j, d))
# Display the result
solution
</llm-code><llm-code-output>
{DïŒ46ãJïŒ22}
</llm-code-output>
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john_age = 24 + 68
john_age
</llm-code><llm-code-output>
102
</llm-code-output>
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from sympy import binomial
N = 12
row = []
for i in range(N+1):
binom = binomial(N, i)
row.append(binom)
print(row[3])
</llm-code><llm-code-output>
220
</llm-code-output>
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2. **競æ人å£ã®å¢å **: ããã±ã«ããŒã«ã¯ãããã¹ããã競æ人å£ãå€ããããå€ãã®äººã
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3. **ã¡ãã£ã¢ã®æ³šç®**: ããã±ã«ããŒã«ã¯ãã¡ãã£ã¢ã®æ³šç®åºŠãé«ããå€ãã®ãã¬ãçªçµãéèªã§åãäžããããŠããŸããããã«ãããããå€ãã®äººã
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èŠããããŸãããã®ç¢ºçã¯$ 1 - \\ text {$ 1 $ s} $ãããŒãªã³ã°ãã確çã§ãã
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dice_rolls = 2
numbers_rolled = 6
# 2 digits
numbers_rolled_2 = dice_rolls * numbers_rolled
# 2 digits
numbers_rolled_2 = numbers_rolled_2 / 2
numbers_rolled_2
</llm-code><llm-code-output>
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number_of_cups = 3
number_of_cookies_per_cup_in_a_cup = number_of_cookies_per_cup / number_of_cups
number_of_cookies_per_cup_in_a_cup
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initial_small_notebooks = 4
ordered_more_notebooks = 6
lost_notebooks = 2
total_notebooks_now = initial_small_notebooks + ordered_more_notebooks - lost_notebooks
total_notebooks_now
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# number of notebooks Sara has
sara_notebooks = 4
# number of notebooks Sara ordered
ordered_notebooks = 6
# number of notebooks Sara lost
lost_notebooks = 2
# total number of notebooks Sara has
total_notebooks = sara_notebooks + ordered_notebooks + lost_notebooks
total_notebooks
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import csv
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reader = csv.reader(file)
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tree = ET.parse(file_path)
root = tree.getroot()
return [elem.text for elem in root.iter(tag_name)]
``` | ```python
import xml.etree.ElementTree as ET
def extract_tag_content(xml_file, tag_name):
tree = ET.parse(xml_file)
root = tree.getroot()
for elem in root.iter(tag_name):
print(elem.text)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
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### å¿ç
|
Python ã³ãŒããæžããŠé¢æ° y=x**2 ãšãã®åŸ®åã 1 ã€ã®ã°ã©ãã«ãããããã | null | Python ã§é¢æ° `y=x^2` ãšãã®åŸ®åã 1 ã€ã®ã°ã©ãã«ããããããã«ã¯ã`matplotlib` ãš `numpy` ã®ã©ã€ãã©ãªã䜿çšããŸãã以äžã«ãã®æé ã瀺ããŸãã
1. `matplotlib` ãš `numpy` ãã€ã³ããŒãããŸãã
```python
import numpy as np
import matplotlib.pyplot as plt
```
2. x ã®ç¯å²ãå®çŸ©ããŸãã
```python
x_min = -5
x_max = 5
x_range = np.linspace(x_min, x_max, 1000)
```
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3. y ã®å€ãèšç®ããŸãã
```python
y = x_range**2
```
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dy_dx = 2 * x_range
```
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5. ã°ã©ããããããããŸãã
```python
plt.figure(figsize=(8, 6))
plt.plot(x_range, y, label='y = x^2')
plt.plot(x_range, dy_dx, '--', label='dy/dx')
plt.legend()
plt.show()
```
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以äžã®æé ãèžãã°ãPython ã³ãŒã㧠`y=x^2` ãšãã®åŸ®åã 1 ã€ã®ã°ã©ãã«ããããããããšãã§ããŸãã | ```python
import matplotlib.pyplot as plt
def y=x**2(x):
return x**2
x = np.linspace(-1, 1, 100)
y = y=x**2(x)
plt.plot(x, y)
plt.show()
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
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```
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import wave
with wave.open('audio.wav', 'rb') as wave_file:
frame_rate = wave_file.getframerate()
num_frames = wave_file.getnframes()
duration = num_frames / frame_rate
print(f'åçæé: {duration}s')
``` | ```python
import soundfile as sf
def measure_duration(audio_file):
data, samplerate = sf.read(audio_file)
duration = len(data) / samplerate
return duration
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
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numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
``` | ```python
def find_max_and_min(numbers):
max_value = max(numbers)
min_value = min(numbers)
print("Max:", max_value)
print("Min:", min_value)
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
find_max_and_min(numbers)
``` | ```python
max_value = max(numbers)
min_value = min(numbers)
print("æ倧å€:", max_value)
print("æå°å€:", min_value)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
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```python
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
```
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2 ft = 2 * 12 = 24ã€ã³ãããã³5 ft = 5 * 12 = 60ã€ã³ãã
åºã®é¢ç©ã¯24 * 60 = 1440ã€ã³ã$^2 $ã§ãã
åã¿ã€ã«ã®é¢ç©ã¯3 * 4 = 12ã€ã³ã$^2 $ã§ãã
ã¿ã€ã«ã®æå°æ°ã¯ãåã¿ã€ã«ã®é¢ç©ãŸãã¯1440/12 = 120ã®åºã®é¢ç©ã®æ¯ã§ãã
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# let's denote the area of the rectangle as x
x = 2 * 5
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12
x = 12
# the area of the rectangle is 3 * 4 = 12 | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
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### å¿ç
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for ã«ãŒã㧠1000 åã®ãªããžã§ã¯ããå埩åŠçãã Python ã³ãŒããæžããŠããã | null | 以äžã«ãã«ãŒãã§1000åã®ãªããžã§ã¯ããå埩åŠçããPythonã³ãŒãã瀺ããŸãïŒ
```python
class MyObject:
def __init__(self, value):
self.value = value
def process_object(obj):
print(f"Processing object with value {obj.value}")
if __name__ == "__main__":
for i in range(1, 1001):
obj = MyObject(i)
process_object(obj)
```
ãã®ã³ãŒãã¯ã`MyObject` ã¯ã©ã¹ãå®çŸ©ãã`process_object` é¢æ°ãå®çŸ©ããŠããŸãããããŠãã¡ã€ã³é¢æ°ã§ã¯ã`MyObject` ãªããžã§ã¯ãã1000åçæããããããã `process_object` é¢æ°ã§åŠçããŸãã | ãã¡ããã§ã!Pythonã®forã«ãŒãã䜿ã£ãŠ1000åã®ãªããžã§ã¯ããå埩åŠçããã³ãŒãã§ã:
```python
for i in range(1000):
print(i)
```
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COMPUTE $ 2011 \\ CDOT 2012 \\ CDOT 2013 \\ CDOT 2014 $ modulo 5ã | null | ãã®åé¡ã解決ããããã«2ã€ã®æé ã䜿çšããŸãã
1. Pythonã®$ 2011 \\ CDOT 2012 \\ CDOT 2013 \\ CDOT 2014 $ã®Modulo 5ãèšç®ããŸãã
2.ã¢ãžã¥ã©ãŒç®è¡ã®ããããã£$ a \\ equiv b $ïŒmod nïŒ$ \\ã¯ab \\ equiv bc $ïŒmod nïŒãæ瀺ããŸããn \\ cdot o \\ cdot p $ãšmodulo 5ãèšç®ããŸãã<llm-code>
from sympy import Integer
# Calculate the modulo 5 of 2011 * 2012 * 2013 * 2014
product = Integer(2011) * Integer(2012) * Integer(2013) * Integer(2014)
modulo_5 = product % Integer(5)
# Calculate the modulo 5 of M * N * O * P
m = Integer(2011) % Integer(5)
n = Integer(2012) % Integer(5)
o = Integer(2013) % Integer(5)
p = Integer(2014) % Integer(5)
modulo_5_2 = m * n * o * p
print("Modulo 5:", modulo_5)
print("Modulo 5 (M * N * O * P):", modulo_5_2)
</llm-code><llm-code-output>
Modulo 5ïŒ4
Modulo 5ïŒm * n * o * pïŒïŒ24
</llm-code-output>
ãããã£ãŠã補åã$ m \\ cdot n \\ cdot o \\ cdot p = 2 \\ cdot 1 \\ cdot 3 \\ cdot 4 = 24 $ã«å€æãã$ 24 \\ equiv 4 $ modulo 5以éã$ 2011 \\ cdot 2012 \\ãçµè«ä»ããããšãã§ããŸããCDOT 2013 \\ cdot 2014 \\ equiv \\ boxed {4} $ modulo 5ã | Sympyã䜿çšããŠããã®åé¡ã解決ããŸãããã<llm-code>
from sympy import mod_inverse
# Compute the product modulo 5
product = mod_inverse(2011, 5) * mod_inverse(2012, 5) * mod_inverse(2013, 5) * mod_inverse(2014, 5)
# Print the result
print(product)
</llm-code><llm-code-output>
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</llm-code-output>
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tom_can_type_90_words_in_a_minute = 90
number_of_words_in_a_page = 450
number_of_words_in_10_pages = 450 * 10
number_of_minutes_to_type_10_pages = number_of_words_in_10_pages / tom_can_type_90_words_in_a_minute
number_of_minutes_to_type_10_pages
</llm-code><llm-code-output>
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\\ boxed {50}åã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
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pages_per_minute = 450
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</llm-code><llm-code-output>
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</llm-code-output>
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èŠã§ãã | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
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|
次ã®ããã¹ãããŒã¿ãèªã¿èŸŒã¿ãæç« å
ã®åèªæ°ãã«ãŠã³ãããŠãã ããã | ããã¹ãããŒã¿ïŒtext.txtïŒ:
```
Python is a popular programming language.
It was created by Guido van Rossum.
Python is used for web development, data analysis, and many other purposes.
``` | ```python
def count_words_in_text(text_path):
with open(text_path, 'r') as file:
text = file.read()
word_count = len(text.split())
print(f'The text contains {word_count} words.')
count_words_in_text('text.txt')
``` | ```python
with open('text.txt', 'r') as file:
text = file.read()
words = text.split()
word_count = len(words)
print(f"åèªæ°: {word_count}")
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
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ã®åèªæ°ãã«ãŠã³ãããŠãã ããã
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ããã¹ãããŒã¿ïŒtext.txtïŒ:
```
Python is a popular programming language.
It was created by Guido van Rossum.
Python is used for web development, data analysis, and many other purposes.
```
### å¿ç
|
æ©æ¢°åŠç¿äºæž¬ã¢ãã«ã®ã³ãŒããæžã | null | 確ãã«ïŒæ©æ¢°åŠç¿ã¯åºå€§ãªããŒãã§ããããšãå¿ã«çããŠãããŠã»ãããããããå§ããã°ããã®äººãããŒããç解ããã®ã«åœ¹ç«ã€ãç°¡åãªpythonã®æ±ºå®æšã®äŸãæäŸããããšãã§ããïŒ
python
matplotlib.pyplot ã plt ãšããŠã€ã³ããŒãããã
from sklearn.tree import DecisionTreeClassifier, plot_tree
from sklearn.datasets import load_iris
# äŸãšããŠè±ã®è¹åœ©ã®ããŒã¿ã»ãããããŒããã
data = load_iris()
# èšç·Žãšãã¹ãã®å
¥å (X) ãšã©ãã« (y) ãåå²ãã
X_train = train[['sepal_length','sepal_width','petal_length','petal_width']] ãšããã
y_train = train.species
X_test = test[['sepal_length','sepal_width','petal_length','petal_width']] y_test = test.species.
y_test = test.species
# 決å®æšåé¡åšãèšç·Žãã
mod_dt = DecisionTreeClassifier(max_depth = 3, random_state = 1)
mod_dt.fit(X_train,y_train)
# ãã£ãããã決å®æšãå¯èŠåãã
plt.figure(figsize = (10,8))
fn = ["sepal_length", "sepal_width", "petal_length", "petal_width"].
cn = ['setosa', 'versicolor', 'virginica'].
plot_tree(mod_dt, feature_names = fn, class_names = cn, filled = True)
# ãã¹ãã»ããã®äºæž¬å€ãåŸã
prediction=mod_dt.predict(X_test)
```
ãã®ã³ãŒããå®è¡ããã«ã¯ python ã«ãŒãã«ãå¿
èŠã§ãsklearn ãš matplotlib ããã±ãŒãžãã€ã³ã¹ããŒã«ãããŠããå¿
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### æ瀺
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### å¿ç
|
ãã£ãã¡ããŒã¯ããŒãã«è¡ãã圌女ãååãªæ¥çŒãæ¢ããæã£ãŠããããšã確èªããããšæã£ãŠããŸãã圌女ã¯ã2æéåŸã«æ¥çŒãæ¢ããåé©çšããå¿
èŠãããããšãç¥ã£ãŠããŸãã圌女ã¯ãŸããåã¢ããªã±ãŒã·ã§ã³ã«3ãªã³ã¹ã®æ¥çŒãæ¢ããå¿
èŠã§ãããããã«ã«ã¯12ãªã³ã¹ãå«ãŸããŠããã3.5ãã«ãããããšãç¥ã£ãŠããŸãã圌女ã16æéããã«ããå Žåãæ¥çŒãæ¢ãã¯ãããã§ããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
applications = 16 / 2
ounces_used = applications * 3
ounces_used_per_bottle = 12
bottles_needed = ounces_used / ounces_used_per_bottle
cost_per_bottle = 3.5
total_cost = bottles_needed * cost_per_bottle
total_cost
</llm-code><llm-code-output>
7.0
</llm-code-output>
ãããã£ãŠããã£ãã¡ããŒã¯æ¥çŒãæ¢ãã«\\ Boxed {7}ãã«ã䜿ãå¿
èŠããããŸãã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
# 3.5 ounces of sunscreen per application
ounces_per_application = 3.5
# 2 hours of sunscreen application
application_time = 2
# 16 hours of sunscreen application
application_time_in_hours = application_time * 60
# 3.5 ounces of sunscreen per application
ounces_per_application_in_hours = ounces_per_application / application_time_in_hours
# 3.5 ounces of sunscreen per application
ounces_per_application_in_hours
</llm-code><llm-code-output>
1.0
</llm-code-output>
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èŠãããããšãç¥ã£ãŠããŸãã圌女ã¯ãŸããåã¢ããªã±ãŒã·ã§ã³ã«3ãªã³ã¹ã®æ¥çŒãæ¢ããå¿
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### å¿ç
|
以äžã® Python ã³ãŒããæé©åããå¯èªæ§ãé«ããŠãã ããã | ```python
def calculate_total_cost(price, quantity, tax_rate):
pre_tax_cost = price * quantity
tax = pre_tax_cost * tax_rate
total_cost = pre_tax_cost + tax
return total_cost
# Test the function
price = 10
quantity = 5
tax_rate = 0.08
total_cost = calculate_total_cost(price, quantity, tax_rate)
print("åèšéé¡ïŒ", total_cost)
``` | ```python
def calculate_total_cost(price, quantity, tax_rate):
return price * quantity * (1 + tax_rate)
# Test the function
price, quantity, tax_rate = 10, 5, 0.08
total_cost = calculate_total_cost(price, quantity, tax_rate)
print(f"åèšéé¡ïŒ{total_cost:.2f}")
``` | ```python
def calculate_total_cost(price, quantity, tax_rate):
pre_tax_cost = price * quantity
tax = pre_tax_cost * tax_rate
total_cost = pre_tax_cost + tax
return total_cost
# Test the function
price = 10
quantity = 5
tax_rate = 0.08
total_cost = calculate_total_cost(price, quantity, tax_rate)
print("åèšéé¡:", total_cost)
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
以äžã® Python ã³ãŒããæé©åããå¯èªæ§ãé«ããŠãã ããã
### å
¥å
```python
def calculate_total_cost(price, quantity, tax_rate):
pre_tax_cost = price * quantity
tax = pre_tax_cost * tax_rate
total_cost = pre_tax_cost + tax
return total_cost
# Test the function
price = 10
quantity = 5
tax_rate = 0.08
total_cost = calculate_total_cost(price, quantity, tax_rate)
print("åèšéé¡ïŒ", total_cost)
```
### å¿ç
|
次ã®JSONããŒã¿ãæäœããPythonã³ãŒããäœæããŠãã ããããscoresãã®å€ã®åèšãè¿ãé¢æ°ãå®è£
ããªããã | ```json
{
"students": [
{
"name": "Alice",
"scores": [70, 80, 90]
},
{
"name": "Bob",
"scores": [65, 75, 85]
}
]
}
``` | ```python
import json
def sum_scores(json_str):
data = json.loads(json_str)
total = 0
for student in data["students"]:
total += sum(student["scores"])
return total
```
åºå:
```
465
``` | ```python
import json
def sum_scores(json_data):
return sum(int(score) for score in json_data["scores"])
``` | 以äžã¯ãã¿ã¹ã¯ã説æããæ瀺ãšãæèã®ããå
¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
### æ瀺
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ããªããã
### å
¥å
```json
{
"students": [
{
"name": "Alice",
"scores": [70, 80, 90]
},
{
"name": "Bob",
"scores": [65, 75, 85]
}
]
}
```
### å¿ç
|
ãžã§ãŒã ãºã¯ãµãã«ãŒããŒã ã«å ãããã¹ã¿ãŒã«ãªããŸãã圌ã¯ã²ãŒã ããšã«4ã€ã®ã¿ããããŠã³ãç²åŸããåã¿ããããŠã³ã¯6ãã€ã³ãã®äŸ¡å€ããããŸããã·ãŒãºã³ã«ã¯15ã²ãŒã ããããŸãã圌ã¯ãŸããã·ãŒãºã³äžã«2ãã€ã³ãã®ã³ã³ããŒãžã§ã³ã6ååŸç¹ããããšãã§ããŸãããå€ãèšé²ã¯ã·ãŒãºã³äžã«300ãã€ã³ãã§ããããžã§ãŒã ãºã¯å€ãèšé²ãäœæåããŸãããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
games_per_season = 15
points_per_touchdown = 6
touchdowns_per_game = 4
number_of_two_point_conversions = 6
# formula to calculate total points
points = games_per_season * touchdowns_per_game * points_per_touchdown + number_of_two_point_conversions * 2
points
</llm-code><llm-code-output>
372
</llm-code-output>
ãããã£ãŠããžã§ãŒã ãºã¯\\ boxed {72}ãã€ã³ãã§å€ãã¬ã³ãŒããç ŽããŸããã | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
points_per_touchdown = 6
points_per_conversion = 2
games_in_season = 15
points_in_season = 300
points_in_season_old = points_in_season
# James scored 4 touchdowns per game
points_per_game = 4
# James scored 6 points per touchdown
points_per_touchdown * points_per_game
# James scored 6 points per conversion
points_per_conversion * points_in_season_old
# James scored 6 points per touchdown and 2 points per conversion
points_per_touchdown * points_per_game + points_per_conversion * points_in_season_old
# James scored 300 points in the season
points_in_season_old - points_per_touchdown * points_per_game - points_per_conversion * points_in_season_old
points_in_season_old - points_per_touchdown * points_per_game - points_per_conversion * points_in_season_old
</llm-code><llm-code-output>
150
</llm-code-output>
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¥åã®çµã¿åããã§ããèŠæ±ãé©åã«æºããå¿çãæžããªããã
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### å¿ç
|
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number_of_butterflies_flew_away = number_of_butterflies_before / 3
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number_of_butterflies = 9
number_of_butterflies_that_fly_away = number_of_butterflies / 3
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