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Commit 9b76dc5a authored by Philipp Risius's avatar Philipp Risius
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update notebooks

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environment.yml
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− 1
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......@@ -23,7 +23,7 @@ dependencies:
- nbgrader
# TODO: Plugins for students
- --extra-index-url https://gitlab.ub.uni-giessen.de/api/v4/projects/920/packages/pypi/simple
- Pytest-Nbgrader
- pytest-nbgrader
# - nbgrader-jhaas
# TODO: Plugins for lecturers
- --extra-index-url https://gitlab.ub.uni-giessen.de/api/v4/projects/790/packages/pypi/simple
......
source/Showcase/_data_generation.ipynb
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− 249
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%% Cell type:code id:da8df839 tags:
%% Cell type:markdown id:4006378c-ac96-4262-8ecd-29bd18b9d338 tags:
``` python
import pathlib
import yaml
import numpy as np
from pytest_nbgrader.test_assertions import almost_equal, equal_scope, equal_types, equal_value
from pytest_nbgrader.test_cases import TestCase, TestSubtask
from pytest_nbgrader import dumper
```
# Showcase: Data generation for tests
%% Cell type:code id:7ceaa747 tags:
%% Cell type:code id:da8df839 tags:
``` python
# Task 1: Exchange two variables
left = {
'float': [1.0, 2.0, 3.0],
'int': [0, 1, 2],
'bool': [True, True, False, False],
'mixed': [1, 2.0, 3 + 4j, True],
}
right = {
'float': [4.0, 5.0, 6.0],
'int': [30, 121, 4452],
'bool': [True, False, True, False],
'mixed': [1 + 3j, 2, False, 5.0],
}
type_mixtures = (
('float', 'float'),
('int', 'int'),
('bool', 'bool'),
('int', 'float'),
('int', 'bool'),
('float', 'bool'),
('mixed', 'mixed'),
)
test_cases = {
f'{left_types}_{right_types}': [
TestCase(
inputs=(tuple(), {'a': x, 'b': y}), expected=(tuple(), {'a': y, 'b': x})
)
for x, y in zip(left[left_types], right[right_types])
]
for left_types, right_types in type_mixtures
}
assertions = {
equal_value: (('a', 'b'), {}),
equal_types: (('a', 'b'), {}),
equal_scope: (tuple(), {}),
}
task_exchange = {
types: TestSubtask(cases=test_cases[types], assertions=assertions)
for types in [f'{left}_{right}' for left, right in type_mixtures]
}
from pytest_nbgrader.assertions import equal_value
from pytest_nbgrader.cases import TestCase, TestSubtask
from pytest_nbgrader import dumper
```
%% Cell type:code id:be6cbc07 tags:
``` python
# TODO: Task2: Euclidean distance
epsilon = 1e-6
cases = [
(
tuple(),
{
f'{vec}{component}': hash(f'{vec}{component}+{salt}') % 7
- 3
+ 0.01 * np.random.rand() * epsilon
for vec in 'ab'
for component in '123'
}
| {'ganz_kleiner_wert': epsilon},
)
for salt in 'abcdefghijklmnopqrstuvwxyz'
]
def euclidean_norm(a1, a2, a3, **args):
return {'abs_a': (a1 ** 2 + a2 ** 2 + a3 ** 2) ** (1 / 2)}
%% Cell type:markdown id:0abcb6c1-bab0-4d47-8ffd-d59accfd62ee tags:
def difference_vector(a1, a2, a3, b1, b2, b3, **args):
return {'ab1': b1 - a1, 'ab2': b2 - a2, 'ab3': b3 - a3}
def euclidean_distance(a1, a2, a3, b1, b2, b3, **args):
return {
'abs_ab': euclidean_norm(*difference_vector(a1, a2, a3, b1, b2, b3).values())[
'abs_a'
]
}
def intersection_yz_plane(a1, a2, a3, b1, b2, b3, ganz_kleiner_wert, **args):
if abs(b1 - a1) > ganz_kleiner_wert:
s = a1 / (a1 - b1)
return {
'schnittpunkt1': 0,
'schnittpunkt2': a2 + s * (b2 - a2),
'schnittpunkt3': a3 + s * (b3 - a3),
}
else:
return {f'schnittpunkt{n}': None for n in range(1, 4)}
def cross_product(a1, a2, a3, b1, b2, b3, **args):
return {
'kreuz_produkt1': a2 * b3 - a3 * b2,
'kreuz_produkt2': a3 * b1 - a1 * b3,
'kreuz_produkt3': a1 * b2 - a2 * b1,
}
generators = {
'norm': euclidean_norm,
'difference': difference_vector,
'distance': euclidean_distance,
'schnittpunkt': intersection_yz_plane,
'kreuzprodukt': cross_product,
}
task_euclidean_geometry = {
key: TestSubtask(
cases=[
TestCase(
inputs=(args, kwargs), expected=(tuple(), function(*args, **kwargs))
)
for args, kwargs in cases
],
assertions={
almost_equal: (
tuple(function(**cases[0][1]).keys()),
{'atol': epsilon, 'rtol': epsilon},
),
},
)
for key, function in generators.items()
}
```
## Programmatically generate test cases
%% Cell type:code id:524e04dd tags:
``` python
# Task 3: Divisibility
## Subtask 1: order inputs a, b. Divisor shall be 1.
np.random.seed(1)
def order(a, b, **args):
return (a, b) if b > a else (b, a)
cases_order = [
(tuple(), dict(zip('ab', np.random.randint(-1e2, 1e2, 2))) | {'divisor': 1})
for _ in range(30)
]
results_order = [
(
tuple(),
dict(zip('ab', order(*args, **kwargs))),
)
for args, kwargs in cases_order
]
test_cases_order = [TestCase(*s) for s in zip(cases_order, results_order)]
task_divisibility = {
'order': TestSubtask(
cases=test_cases_order, assertions={equal_value: (('a', 'b'), {})}
)
}
## Subtask 2-5 assume ordered intervals (a, b). Divisor shall be 1.
def anzahl(a, b, **args):
return b - a + 1
cases_anzahl = [(args, kwargs | {'divisor': 1}) for args, kwargs in results_order]
test_cases_anzahl = [
test_cases = [
# Let's generate a test case manually:
TestCase(
inputs=(args, kwargs),
expected=(args, kwargs | {'anzahl': anzahl(*args, **kwargs)}),
inputs=(tuple(), {'lower_bound': -10, 'upper_bound': 5, 'divisor': 3}),
expected=(tuple(), {'number_of_divisibles': 5})
)
for args, kwargs in cases_anzahl
]
task_divisibility['anzahl'] = TestSubtask(
cases=test_cases_anzahl, assertions={equal_value: (('anzahl',), {})}
)
## Subtasks 3-5 assume various divisors
def teilbar_klein(a, b, divisor, **args):
try:
return (i for i in range(a, b + 1) if i % divisor == 0).__next__()
except StopIteration:
return None
def anzahl_teilbar(a, b, divisor, **args):
return sum([i % divisor == 0 for i in range(a, b + 1)])
def produkt_teilbar(a, b, divisor, **args):
return np.prod(
[i for i in range(a, b + 1) if i % divisor == 0 and i != 0], dtype=object
task_divisibility = {
'number_of_divisibles': TestSubtask(
test_cases,
assertions={equal_value: (('number_of_divisibles'), {})},
)
generators = {
'teilbar_klein': teilbar_klein,
'anzahl_teilbar': anzahl_teilbar,
'produkt_teilbar': produkt_teilbar,
}
```
cases = [
(args, kwargs | {'divisor': np.random.randint(1, 20) * np.random.choice((-1, 1))})
for args, kwargs in results_order
]
%% Cell type:markdown id:52b1946d-91d2-40d5-af87-a4742202fa8b tags:
task_divisibility |= {
key: TestSubtask(
[
TestCase(
inputs=(args, kwargs),
expected=(tuple(), {key: function(*args, **kwargs)}),
)
for args, kwargs in cases
],
assertions={equal_value: ((key,), {})},
)
for key, function in generators.items()
}
```
## Dump test cases as `.yml`
%% Cell type:code id:4e2ddbba tags:
``` python
dumper.dump_exercise(
{
'ExchangeVariables': task_exchange,
'EuclideanGeometry': task_euclidean_geometry,
'Divisibility': task_divisibility,
},
)
```
......
source/Showcase/basic_features.ipynb
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......@@ -154,7 +154,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"id": "859cec0c-0ed2-48e0-8e3b-a5354b517652",
"metadata": {
"nbgrader": {
......@@ -190,7 +190,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "9619ee19-e3f4-419c-802a-6d4c7de51791",
"metadata": {
"nbgrader": {
......@@ -215,7 +215,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "65e0b2ef-5b7b-4362-a40c-ace635562ca1",
"metadata": {
"nbgrader": {
......@@ -253,7 +253,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "2c8836da-d468-49ed-aab4-24a340750f22",
"metadata": {
"nbgrader": {
......@@ -278,7 +278,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "fd405a9e-c8bc-4546-8bff-41f73c7b4c06",
"metadata": {
"nbgrader": {
......
source/Showcase/jupyterquiz_integration.ipynb
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%% Cell type:markdown id:84bbb171-a0e2-4506-a89e-e8f4899f537d tags:
## Quizzes (thanks to jupyterquiz)
## Quizzes
%% Cell type:code id:5ba0e591-b2e7-445d-9011-cdf04326f460 tags:
``` python
import jupyterquiz
```
%% Cell type:markdown id:d60f1183-279d-445c-9113-a5011e2c1f73 tags:
* Quizzes are converted to json and embedded as spans
* the converted version is "invisible"
#### Quiz
* (SC) What are ungraded quizzes good for?
+ This
- That
#### End Quiz
%% Cell type:code id:8d5f80cf-0a4f-40f7-b7a5-d84bd6f3d851 tags:
``` python
jupyterquiz.display_quiz('#quiz0')
```
......
source/Showcase/pytest_integration.ipynb
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%% Cell type:markdown id:ed5cb36f-5137-49b4-9b3f-e46ed0214d8a tags:
# Pytest Integration
%% Cell type:markdown id:1f18a76f-5acb-42fd-9062-2c86dd3f2e03 tags:
## Example: Divisibility
%% Cell type:markdown id:1098fa0f-433d-440d-b3bd-8c56c9d75836 tags:
You get a `lower_bound` and an `upper_bound` of an interval, as well as a `divisor`.
How many numbers in the interval are divisible by `divisor`? Write your solution to `number_of_divisibles`!
%% Cell type:markdown id:3947c769-e153-48e5-8f6d-d55ec8ab5098 tags:
Here is an example. Note that your code needs to work with different numbers as well!
%% Cell type:code id:e5474f20-00d2-4ed0-b550-c8688d4f820b tags:
``` python
lower_bound, upper_bound, divisor = 4, 19, 7
number_of_divisibles = 2
```
%% Cell type:code id:eadc399b-0fbc-42df-820e-a3adb557ca9c tags:
``` python
### BEGIN SOLUTION
number_of_divisibles = 0
for value in range(lower_bound, upper_bound):
if value % divisor == 0:
number_of_divisibles += 1
### END SOLUTION
```
%% Cell type:markdown id:98d0695a-033d-4a81-bb3e-6933b283d345 tags:
### Submit to Pytest
%% Cell type:code id:c8f51814-d7d3-488e-a54c-e920c9c2231f tags:
``` python
import pytest
from pytest_nbgrader import loader
import pathlib
loader.Submission.submit(_i)
```
%% Cell type:markdown id:4c1ec8d5-b1ac-446d-aad0-add9e12f8096 tags:
### Run test cases
%% Cell type:code id:49fe1fa4-c73d-4d05-a208-21164756d32f tags:
``` python
test_cases = pathlib.Path('tests') / 'number_divisible.yml'
```
%% Output
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[2], line 1
----> 1 test_cases = pathlib.Path('tests')
NameError: name 'pathlib' is not defined
%% Cell type:code id:1080730e-c653-4f11-84fd-3625685f333c tags:
``` python
assert pytest.main(['-x', '--cases', test_cases] is pytest.ExitCode.OK
assert pytest.main(['-x', '--cases', test_cases]) is pytest.ExitCode.OK
```
%% Cell type:markdown id:93200728-9e8e-462f-98fb-a8fdcf134465 tags:
### Run Pytest File
%% Cell type:code id:559d321a-f829-4c9e-ad38-dae66259a9de tags:
``` python
!pip freeze
```
%% Output
aiofiles @ file:///home/conda/feedstock_root/build_artifacts/aiofiles_1664378549280/work
aiosqlite @ file:///home/conda/feedstock_root/build_artifacts/aiosqlite_1682491975081/work
alembic==1.12.0
anyio==3.7.1
argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1692818318753/work
argon2-cffi-bindings @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi-bindings_1666850842190/work
arrow @ file:///home/conda/feedstock_root/build_artifacts/arrow_1662382474514/work
asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1694046349000/work
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1683424013410/work
Babel @ file:///home/conda/feedstock_root/build_artifacts/babel_1677767029043/work
backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1687772187254/work
beautifulsoup4 @ file:///home/conda/feedstock_root/build_artifacts/beautifulsoup4_1680888073205/work
bleach @ file:///home/conda/feedstock_root/build_artifacts/bleach_1674535352125/work
Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1693583441880/work
cached-property @ file:///home/conda/feedstock_root/build_artifacts/cached_property_1615209429212/work
certifi==2023.7.22
cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1671179355965/work
charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1688813409104/work
click @ file:///home/conda/feedstock_root/build_artifacts/click_1692311806742/work
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work
comm @ file:///home/conda/feedstock_root/build_artifacts/comm_1691044910542/work
contourpy @ file:///home/conda/feedstock_root/build_artifacts/contourpy_1686733806710/work
cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work
debugpy @ file:///home/conda/feedstock_root/build_artifacts/debugpy_1694569164216/work
decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work
entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work
exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1692026125334/work
executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1667317341051/work
fastjsonschema @ file:///home/conda/feedstock_root/build_artifacts/python-fastjsonschema_1690055433477/work/dist
fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1692542607195/work
fqdn @ file:///home/conda/feedstock_root/build_artifacts/fqdn_1638810296540/work/dist
greenlet==2.0.2
hypothesis @ file:///home/conda/feedstock_root/build_artifacts/hypothesis_1694394297869/work
idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work
importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1688754491823/work
importlib-resources @ file:///home/conda/feedstock_root/build_artifacts/importlib_resources_1691408075105/work
iniconfig @ file:///home/conda/feedstock_root/build_artifacts/iniconfig_1673103042956/work
ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1693880262622/work
ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1693579759651/work
ipython-genutils==0.2.0
ipywidgets @ file:///home/conda/feedstock_root/build_artifacts/ipywidgets_1694607144474/work
isoduration @ file:///home/conda/feedstock_root/build_artifacts/isoduration_1638811571363/work/dist
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1690896916983/work
Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1654302431367/work
json5 @ file:///home/conda/feedstock_root/build_artifacts/json5_1688248289187/work
jsonpointer @ file:///home/conda/feedstock_root/build_artifacts/jsonpointer_1694629064854/work
jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema-meta_1691761378595/work
jsonschema-specifications @ file:///home/conda/feedstock_root/build_artifacts/jsonschema-specifications_1689701150890/work
jupyter @ file:///home/conda/feedstock_root/build_artifacts/jupyter_1670249594847/work
jupyter-console @ file:///home/conda/feedstock_root/build_artifacts/jupyter_console_1678118109161/work
jupyter-events @ file:///home/conda/feedstock_root/build_artifacts/jupyter_events_1691505939576/work
jupyter-server==1.24.0
jupyter-ydoc @ file:///home/conda/feedstock_root/build_artifacts/jupyter_ydoc_1685535850115/work/dist
jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1673615989977/work
jupyter_core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1686775603054/work
jupyter_server_fileid @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_fileid_1681071667289/work
jupyter_server_terminals @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_terminals_1673491454549/work
jupyter_server_ydoc @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_ydoc_1678043727957/work
jupyterlab @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_1687805419669/work
jupyterlab-deck @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab-deck_1667437084920/work
jupyterlab-fonts @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab-fonts_1666644845625/work
jupyterlab-pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1649936611996/work
jupyterlab-widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1694598704522/work
jupyterlab_server @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_server-split_1694531968623/work
JupyterQuiz==2.6.3
kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1692883585750/work
Mako==1.2.4
MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1685769042879/work
matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1688684873414/work
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1660814786464/work
mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1692116650819/work
munkres==1.1.4
nbclassic @ file:///home/conda/feedstock_root/build_artifacts/nbclassic_1683202081046/work
nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1684790896106/work
nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert-meta_1693331710275/work
nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1690814868471/work
nbgrader==0.8.5
nbgrader-jupyterquiz==0.0.9
nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1664684991461/work
notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1691436218243/work
notebook_shim @ file:///home/conda/feedstock_root/build_artifacts/notebook-shim_1682360583588/work
numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1691056235090/work
overrides @ file:///home/conda/feedstock_root/build_artifacts/overrides_1691338815398/work
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1681337016113/work
pandas @ file:///home/conda/feedstock_root/build_artifacts/pandas_1693415143648/work
pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1638334955874/work
pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1667297516076/work
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1688255851102/work
pkgutil_resolve_name @ file:///home/conda/feedstock_root/build_artifacts/pkgutil-resolve-name_1694617248815/work
platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1690813113769/work
pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1693086607691/work
ply==3.11
prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1689032443210/work
prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1688565951714/work
psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1681775010077/work
ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
pure-eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1642875951954/work
pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1691408637400/work
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y-py @ file:///home/conda/feedstock_root/build_artifacts/y-py_1677231021422/work
ypy-websocket @ file:///home/conda/feedstock_root/build_artifacts/ypy-websocket_1670333059911/work
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1689374466814/work
%% Cell type:code id:641296d4-86fb-481e-91c9-ec1e62a41209 tags:
``` python
```
......
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