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Ch. 7-9 updates
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‎Chapter Reviews/printing_functions.py‎

Lines changed: 28 additions & 28 deletions
Original file line numberDiff line numberDiff line change
@@ -1,28 +1,28 @@
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def print_models(unprinted_designs, completed_models):
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"""
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Simulate printing each design, until none are left.
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Move each design to completed_models after printing.
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"""
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while unprinted_designs:
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current_design = unprinted_designs.pop()
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# Simulate creating a 3D print from the design.
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print("Printing model: " + current_design)
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completed_models.append(current_design)
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# # Start with some designs that need to be printed. Think of a few,
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# # then write them out in your own words.
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# unprinted_designs = ['phone case', 'robot pendant', 'dodecahedron']
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# completed_models = []
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# # Simulate printing each design, until none are left.
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# # Move each design to completed_models after printing.
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# while unprinted_designs:
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# current_design = unprinted_designs.pop()
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# print(f"Printing model: {current_design}")
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# completed_models.append(current_design)
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# # Display all completed models.
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# print("\nThe following models have been printed:")
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# for completed_model in completed_models:
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# print(completed_model)
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1+
def print_models(unprinted_designs, completed_models):
2+
"""
3+
Simulate printing each design, until none are left.
4+
Move each design to completed_models after printing.
5+
"""
6+
while unprinted_designs:
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current_design = unprinted_designs.pop()
8+
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# Simulate creating a 3D print from the design.
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print("Printing model: " + current_design)
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completed_models.append(current_design)
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# # Start with some designs that need to be printed. Think of a few,
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# # then write them out in your own words.
15+
# unprinted_designs = ['phone case', 'robot pendant', 'dodecahedron']
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# completed_models = []
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# # Simulate printing each design, until none are left.
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# # Move each design to completed_models after printing.
19+
# while unprinted_designs:
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# current_design = unprinted_designs.pop()
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# print(f"Printing model: {current_design}")
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# completed_models.append(current_design)
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# # Display all completed models.
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# print("\nThe following models have been printed:")
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# for completed_model in completed_models:
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# print(completed_model)
28+

‎learnpythondotorg.ipynb‎

Lines changed: 160 additions & 160 deletions
Original file line numberDiff line numberDiff line change
@@ -1,160 +1,160 @@
1-
{
2-
"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"https://www.learnpython.org/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"def my_function():\n",
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" print(\"Hello from my function!\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Hello from my function!\n"
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]
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}
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],
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"source": [
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"my_function()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Hello test_username, from My Function!, I wish you test_greeting\n"
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]
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}
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],
50-
"source": [
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"def my_function_with_args(username, greeting):\n",
52-
" print(\"Hello %s, from My Function!, I wish you %s\" %(username, greeting))\n",
53-
" \n",
54-
"my_function_with_args('test_username', 'test_greeting')"
55-
]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"13\n"
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]
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}
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],
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"source": [
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"def sum_two_numbers(a, b):\n",
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" return a + b\n",
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"\n",
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"sum_of_numbers = sum_two_numbers(6, 7)\n",
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"print(sum_of_numbers)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"def list_benefits():\n",
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" return[]\n",
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"\n",
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"def build_sentence(benefit):\n",
88-
" return \"\"\n",
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"\n",
90-
"def name_the_benefits_of_functions():\n",
91-
" list_of_benefits = list_benefits()\n",
92-
" for benefit in list_of_benefits:\n",
93-
" print(build_sentence(benefit))\n",
94-
" \n",
95-
"name_the_benefits_of_functions()"
96-
]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"This is a message inside the class.\n",
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"blah\n"
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]
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}
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],
112-
"source": [
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"class MyClass:\n",
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" variable = \"blah\"\n",
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" \n",
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" def function(self):\n",
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" print(\"This is a message inside the class.\")\n",
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" \n",
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"myobjectx = MyClass()\n",
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"\n",
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"myobjectx.function()\n",
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"print(myobjectx.variable)"
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]
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},
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{
126-
"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
133-
"metadata": {
134-
"kernelspec": {
135-
"display_name": "Python 3.8.10 64-bit",
136-
"language": "python",
137-
"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
141-
"name": "ipython",
142-
"version": 3
143-
},
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"file_extension": ".py",
145-
"mimetype": "text/x-python",
146-
"name": "python",
147-
"nbconvert_exporter": "python",
148-
"pygments_lexer": "ipython3",
149-
"version": "3.8.10"
150-
},
151-
"orig_nbformat": 4,
152-
"vscode": {
153-
"interpreter": {
154-
"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
155-
}
156-
}
157-
},
158-
"nbformat": 4,
159-
"nbformat_minor": 2
160-
}
1+
{
2+
"cells": [
3+
{
4+
"cell_type": "markdown",
5+
"metadata": {},
6+
"source": [
7+
"https://www.learnpython.org/"
8+
]
9+
},
10+
{
11+
"cell_type": "code",
12+
"execution_count": 1,
13+
"metadata": {},
14+
"outputs": [],
15+
"source": [
16+
"def my_function():\n",
17+
" print(\"Hello from my function!\")"
18+
]
19+
},
20+
{
21+
"cell_type": "code",
22+
"execution_count": 2,
23+
"metadata": {},
24+
"outputs": [
25+
{
26+
"name": "stdout",
27+
"output_type": "stream",
28+
"text": [
29+
"Hello from my function!\n"
30+
]
31+
}
32+
],
33+
"source": [
34+
"my_function()"
35+
]
36+
},
37+
{
38+
"cell_type": "code",
39+
"execution_count": 3,
40+
"metadata": {},
41+
"outputs": [
42+
{
43+
"name": "stdout",
44+
"output_type": "stream",
45+
"text": [
46+
"Hello test_username, from My Function!, I wish you test_greeting\n"
47+
]
48+
}
49+
],
50+
"source": [
51+
"def my_function_with_args(username, greeting):\n",
52+
" print(\"Hello %s, from My Function!, I wish you %s\" %(username, greeting))\n",
53+
" \n",
54+
"my_function_with_args('test_username', 'test_greeting')"
55+
]
56+
},
57+
{
58+
"cell_type": "code",
59+
"execution_count": 4,
60+
"metadata": {},
61+
"outputs": [
62+
{
63+
"name": "stdout",
64+
"output_type": "stream",
65+
"text": [
66+
"13\n"
67+
]
68+
}
69+
],
70+
"source": [
71+
"def sum_two_numbers(a, b):\n",
72+
" return a + b\n",
73+
"\n",
74+
"sum_of_numbers = sum_two_numbers(6, 7)\n",
75+
"print(sum_of_numbers)"
76+
]
77+
},
78+
{
79+
"cell_type": "code",
80+
"execution_count": 5,
81+
"metadata": {},
82+
"outputs": [],
83+
"source": [
84+
"def list_benefits():\n",
85+
" return[]\n",
86+
"\n",
87+
"def build_sentence(benefit):\n",
88+
" return \"\"\n",
89+
"\n",
90+
"def name_the_benefits_of_functions():\n",
91+
" list_of_benefits = list_benefits()\n",
92+
" for benefit in list_of_benefits:\n",
93+
" print(build_sentence(benefit))\n",
94+
" \n",
95+
"name_the_benefits_of_functions()"
96+
]
97+
},
98+
{
99+
"cell_type": "code",
100+
"execution_count": 14,
101+
"metadata": {},
102+
"outputs": [
103+
{
104+
"name": "stdout",
105+
"output_type": "stream",
106+
"text": [
107+
"This is a message inside the class.\n",
108+
"blah\n"
109+
]
110+
}
111+
],
112+
"source": [
113+
"class MyClass:\n",
114+
" variable = \"blah\"\n",
115+
" \n",
116+
" def function(self):\n",
117+
" print(\"This is a message inside the class.\")\n",
118+
" \n",
119+
"myobjectx = MyClass()\n",
120+
"\n",
121+
"myobjectx.function()\n",
122+
"print(myobjectx.variable)"
123+
]
124+
},
125+
{
126+
"cell_type": "code",
127+
"execution_count": null,
128+
"metadata": {},
129+
"outputs": [],
130+
"source": []
131+
}
132+
],
133+
"metadata": {
134+
"kernelspec": {
135+
"display_name": "Python 3.8.10 64-bit",
136+
"language": "python",
137+
"name": "python3"
138+
},
139+
"language_info": {
140+
"codemirror_mode": {
141+
"name": "ipython",
142+
"version": 3
143+
},
144+
"file_extension": ".py",
145+
"mimetype": "text/x-python",
146+
"name": "python",
147+
"nbconvert_exporter": "python",
148+
"pygments_lexer": "ipython3",
149+
"version": "3.8.10"
150+
},
151+
"orig_nbformat": 4,
152+
"vscode": {
153+
"interpreter": {
154+
"hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
155+
}
156+
}
157+
},
158+
"nbformat": 4,
159+
"nbformat_minor": 2
160+
}

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