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def get_keys_and_values(d):
keys = list(d.keys())
values = list(d.values())
return keys, values
``` |
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ã«ã«ãã·ã£ãªãéå»ã«æå±ããŠããçãæœåºãã | ã«ã«ãžã£ãªãŒçã®é åã¯ã1912幎ã®ç¬¬äžæ¬¡ãã«ã«ã³æŠäºã§ãã«ã¬ãªã¢ãç²åŸããŸããã1913幎ããã®å°åã¯ã¡ã¹ã¿ã³ãªå°åºïŒÐŸÐºÑÑгããã«ã¬ãªã¢èªã§ã¯okrÄgïŒãšããŠçµç¹åãããããã®å°åºã¯1934幎ãã1949幎ãŸã§ã¹ã¿ã©ã»ã¶ãŽã©çã«å±ã[2]ããã®åŸãæ°ããã§ãããã¹ã³ãŽã©çã«ç§»ãããŸããã1959幎ãã«ã«ãžã£ãªã¯çŸåšã®çãšåæ§ã®å¢çç·ãæã€æ°ããå°åºã®äžå¿ãšãªã£ãã1987幎ãã1999幎ãŸã§ããã®å°åã¯ãã¹ã³ãŽã©å·ã®äžéšã§ãã£ããããã®åŸãå·ãšããŠåŸ©æŽ»ããåœå¢ããããã«å€æŽãããã | ã«ã«ãã·ã£ãªãéå»ã«æå±ããŠããçã¯ä»¥äžã®éãã§ãã
1. 1912幎 - 1913幎ïŒãã«ã¬ãªã¢
2. 1913幎 - 1934幎ïŒã¡ã¹ã¿ã³ãªå°åºïŒãã«ã¬ãªã¢ïŒ
3. 1934幎 - 1949幎ïŒã¹ã¿ã©ã»ã¶ãŽã©çïŒãã«ã¬ãªã¢ïŒ
4. 1949幎 - 1959幎ïŒãã¹ã³ãŽã©çïŒãã«ã¬ãªã¢ïŒ
5. 1959幎 - 1987幎ïŒã«ã«ãžã£ãªçïŒãã«ã¬ãªã¢ïŒ
6. 1987幎 - 1999幎ïŒãã¹ã³ãŽã©å·ïŒãã«ã¬ãªã¢ïŒ
7. 1999幎 - çŸåšïŒã«ã«ãžã£ãªçïŒãã«ã¬ãªã¢ïŒ |
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ã±ã³ã»ãã©ã¬ããèãThe Pillars of the EarthãïŒ1100幎代ã®ã€ã®ãªã¹ãèå°ãæäŒå»ºèšãšåœæã®ç掻ãæããŠããã
ãŠã«ãã»ããŒã«ãïŒãã©ãªãŒã»ãã³ãã«èïŒïŒãã®æ¬ã¯ãã€ã³ã°ã©ã³ãçãã³ãªãŒ8äžã«ãšã£ãŠæ¬åœã«éèŠãªäººç©ã ã£ãããŒãã¹ã»ã¯ãã ãŠã§ã«ãšãã人ç©ã«ã€ããŠã®æ¬ã§ããçã®å®®å»·ã§ã®ç掻ãã©ã®ãããªãã®ã ã£ãããæãããŠããã
"All the Light We Cannot See" by Anthony DoerrïŒç¬¬äºæ¬¡äžç倧æŠäžã®ç²ç®ã®ãã©ã³ã¹äººå°å¥³ãšãã€ã人å°å¹Žã®è©±ã人ã
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The Book Thief" by Markus Zusak: ãã®æ¬ã第äºæ¬¡äžç倧æŠäžãèå°ã家æããŠãã€äººç·æ§ã家ã«ãããŸã£ããã€ã人å°å¥³ã®è©±ãèšèãšç©èªã®åã«ã€ããŠã®ç©èªã ã
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Outlander" by Diana Gabaldon: 1900幎代ã®çè·å©Šã1700幎代ã®ã¹ã³ããã©ã³ãã«ã¿ã€ã ã¹ãªãããã話ãããã³ã¹ãåéºããã¡ã³ã¿ãžãŒãããã¯ã¹ãããŠããã
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from PIL import Image
image_path = "input.jpg"
output_path = "output.jpg"
scale_factor = 0.5
``` | ```python
from PIL import Image
image_path = "input.jpg"
output_path = "output.jpg"
scale_factor = 0.5
with Image.open(image_path) as img:
resized_img = img.resize((int(img.width * scale_factor), int(img.height * scale_factor)))
resized_img.save(output_path)
``` |
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é ã®ã¿ã°ã®ååãåºåããŠãã ããã | ```
<?xml version="1.0" encoding="UTF-8"?>
<bookstore>
<book category="fiction">
<title lang="en">Harry Potter</title>
<author>J K. Rowling</author>
<year>1997</year>
<price>29.99</price>
</book>
</bookstore>
``` | ```python
import xml.etree.ElementTree as ET
xml_data = """
<?xml version="1.0" encoding="UTF-8"?>
<bookstore>
<book category="fiction">
<title lang="en">Harry Potter</title>
<author>J K. Rowling</author>
<year>1997</year>
<price>29.99</price>
</book>
</bookstore>
"""
root = ET.fromstring(xml_data)
print(root.tag)
``` |
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from sympy import symbols, Eq, solve
x, y, z, w = symbols('x y z w')
eq1 = Eq(x, y + 5)
eq2 = Eq(y, z + 10)
eq3 = Eq(z, w + 20)
eq4 = Eq(w, 80)
# Solve the equations
solutions = solve((eq1, eq2, eq3, eq4), (x, y, z, w))
solutions
</llm-code><llm-code-output>
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</llm-code-output>
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2. 絊氎æ©ãèšçœ®ãã
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1. ã¢ããªã«ã®å°çãå匷ãã
2. é©åãªèççš®ãéžæãã |
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ãã®äœåã®æãæåãªèšèã¯ã"For all Seasons"ãšãããã¬ãŒãºã§ãããã¯äœåå
šäœãéããŠç¹°ãè¿ãããäœåã®ããŒãã象城ããŠããŸãããã®ãã¬ãŒãºã¯ã人çãåå£ã®ããã«å€åãããã¹ãŠã®ææãå¿
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"For all Seasons"ã¯ãäœåã®äžå¿çãªã¡ãã»ãŒãžã端çã«è¡šçŸããŠãããèªè
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# gallons of water per inch
gallons_per_inch = 15
# inches of rain
inches_of_rain = 4 + 3
# gallons of collected water
gallons_of_water = inches_of_rain * gallons_per_inch
# money James made
james_earnings = gallons_of_water * 1.2
james_earnings
</llm-code><llm-code-output>
126.0
</llm-code-output>
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import sqlite3
conn = sqlite3.connect("users.db")
cursor = conn.cursor()
query = "SELECT * FROM users"
cursor.execute(query)
results = cursor.fetchall()
for row in results:
print(row)
conn.close()
``` |
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å ±ã¯ãhttps://ireallylikefood.com/guide-to-a-self-sustaining-garden/ã |
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twenty_bills = 2
five_bills = 3
cents = 4.50
price_of_cake = 17.50
# money in her wallet before buying the cake
money_before_purchase = twenty_bills * 20 + five_bills * 5 + cents
# money in her wallet after buying the cake
money_after_purchase = money_before_purchase - price_of_cake
money_after_purchase
</llm-code><llm-code-output>
42.0
</llm-code-output>
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¥ããåŸãMarjã®è²¡åžã«ã¯\\ Boxed {42}ãã«ãæ®ã£ãŠããŸãã |
2ã€ã®åã®äžå¿$ C. $ïŒåãäžå¿ãæã€åã¯åå¿ãšåŒã°ããŸããïŒå€§ããªåã®ååŸ$ 10 $ãå°ããåã¯ååŸ6ãã«ã§ãã[ASY]
ã€ã³ããŒãã°ã©ãã
filldrawïŒcircleïŒïŒ0,0ïŒã10ïŒãlightgrayãblack+linewidthïŒ1ïŒïŒ;
filldrawïŒåïŒïŒ0,0ïŒã6ïŒãçœãé»+ç·å¹
ïŒ1ïŒïŒ;
ãããïŒïŒ0,0ïŒïŒ;
ã©ãã«ïŒ "$ c $"ãïŒ0,0ïŒãneïŒ;
[/asy] | null | åã®é¢ç©ã$ \\ pi r^2ã$ã§ããããªã³ã°ã®é¢ç©ã2ã€ã®åå¿åã®é åã®éãã§ãããšããåžžèã§ãããšããäºå®ã䜿çšããŸãã<llm-code>
from sympy import pi, symbols
M = 10
N = 6
r = symbols('r')
# Area of larger circle
area_larger = pi*M**2
# Area of smaller circle
area_smaller = pi*N**2
# Area of ring
area_ring = area_larger - area_smaller
print("The area of the ring is: ", area_ring)
</llm-code><llm-code-output>
ãªã³ã°ã®é¢ç©ã¯æ¬¡ã®ãšããã§ãã64*pi
</llm-code-output>
ãããã£ãŠããªã³ã°ã®é¢ç©ã¯$ \\ boxed {64 \\ pi} $ã§ãã |
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Reneã¯60åã§30ããŒãžãèªã¿çµããããšãã§ããŸããLuluã¯60åã§27ããŒãžãèªãããšãã§ããCherryã¯60åã§25ããŒãžãèªãããšãã§ããŸãã圌ããä»240åéèªãã§ããå Žåãåèšã§ããã€ã®ããŒãžãèªã¿çµããŸãããïŒ | null | Pythonã³ãŒãã䜿çšããŠãã®åé¡ã解決ããŸãããã<llm-code>
rene_pages_per_minute = 30 / 60
lulu_pages_per_minute = 27 / 60
cherry_pages_per_minute = 25 / 60
minutes_passed = 240
rene_pages = rene_pages_per_minute * minutes_passed
lulu_pages = lulu_pages_per_minute * minutes_passed
cherry_pages = cherry_pages_per_minute * minutes_passed
total_pages = rene_pages + lulu_pages + cherry_pages
total_pages
</llm-code><llm-code-output>
328.0
</llm-code-output>
ãããã£ãŠã圌ãã¯åèš\\ boxed {328}ããŒãžãèªã¿ãŸããã |
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¬éãæ€èšããŠãŸãããŸãã |
300人ã®åŠçã®ã¯ã©ã¹ã§ã¯ãå«ç
10代ã®æ°ã¯ã¯ã©ã¹ã®40ïŒ
ã§ãã1幎ã§ãå«ç
åŠçã®70ïŒ
ãå«ç
é¢é£ã®å䜵çããå
¥é¢ããŠããŸããå«ç
é¢é£ã®å䜵çããå
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smoking_students = 300 * 40 / 100
hospitalized_smokers = smoking_students * 70 / 100
not_hospitalized_smokers = smoking_students - hospitalized_smokers
not_hospitalized_smokers
</llm-code><llm-code-output>
36.0
</llm-code-output>
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import pandas as pd
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``` |
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---
çã㯠**_312,276,977_** ã§ãã
---
èšç®ã®éçšã¯ä»¥äžã®éãã§ã:
```
743 Ã 743 = 550,283
550,283 Ã 744 = 312,276,977
```
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pool_volume = 60
hose_fill_rate = 1.6
hose_leak_rate = 0.1
net_fill_rate = hose_fill_rate - hose_leak_rate
pool_fill_time = pool_volume / net_fill_rate
pool_fill_time
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distance_from_apartment_to_work = 10
half_distance_from_apartment_to_work = distance_from_apartment_to_work / 2
distance_from_apartment_to_gym = half_distance_from_apartment_to_work + 2
distance_from_apartment_to_gym
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<data>
<person>
<name>Alice</name>
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</person>
<person>
<name>Bob</name>
<age>32</age>
</person>
<person>
<name>Charlie</name>
<age>37</age>
</person>
</data>
``` | ```python
import xml.etree.ElementTree as ET
tree = ET.parse('data.xml')
root = tree.getroot()
data = {}
for person in root.findall('person'):
name = person.find('name').text
age = person.find('age').text
data[name] = age
print(data)
``` |
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# define variables
rain_in_2003 = 41.5
rain_in_2004 = rain_in_2003 + 2
number_of_months = 12
total_rain_in_2004 = rain_in_2004 * number_of_months
# enter answer
print(total_rain_in_2004)
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``` |
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