code stringlengths 3 6.57k |
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redirect(url_for('userexpenses', wkex_id=wkex_id) |
app.route('/expense/<string:wkex_id>/<int:ex_id>/delete', methods=['GET','POST']) |
delete_expense(wkex_id, ex_id) |
db.session.query(UserExpense) |
get_or_404(ex_id) |
abort(403) |
db.session.delete(expenses) |
db.session.commit() |
flash('Expense deleted', 'success') |
redirect(url_for('overview') |
app.route("/expense/<string:wkex_id>/<int:ex_id>/update", methods=['GET', 'POST']) |
update_expense(wkex_id, ex_id) |
db.session.query(UserExpense) |
get_or_404(ex_id) |
abort(403) |
NewExpense() |
form.validate_on_submit() |
db.session.commit() |
flash('Expense updated', 'success') |
redirect(url_for('overview') |
render_template('expenses.html', title='Expenses',form=form, name=name, wkex_id=wkex_id, state='today') |
app.route("/expense/<string:day_id>/charts", methods=['GET', 'POST']) |
charts(day_id) |
db.session.query(UserExpense.category) |
distinct() |
cat_list.append(f'{u.category}') |
db.session.query(UserExpense.category) |
count() |
counts_list.append(counts) |
db.session.query(func.sum(UserExpense.expense) |
scalar() |
sum_list.append(f'{Sums}') |
plt.subplots(figsize=(10, 5) |
axs.bar(cat_list, [float(g) |
fig.suptitle('Expenditure breakdown') |
plt.subplots(figsize=(10, 5) |
dict(aspect="equal") |
ax1.pie(counts_list, wedgeprops=dict(width=0.5) |
dict(boxstyle="square,pad=0.3", fc="w", ec="k", lw=0.72) |
dict(arrowprops=dict(arrowstyle="-") |
enumerate(wedges) |
np.sin(np.deg2rad(ang) |
np.cos(np.deg2rad(ang) |
int(np.sign(x) |
format(ang) |
update({"connectionstyle": connectionstyle}) |
ax1.annotate(cat_list[i], xy=(x, y) |
np.sign(x) |
ax1.set_title("Expenses category frequency") |
io.BytesIO() |
io.BytesIO() |
FigureCanvas(fig) |
print_png(highpngImage) |
FigureCanvas(fig1) |
print_png(freqpngImage) |
base64.b64encode(highpngImage.getvalue() |
decode('utf8') |
base64.b64encode(freqpngImage.getvalue() |
decode('utf8') |
app.run() |
testing.with_requires('scipy') |
TestEye(unittest.TestCase) |
testing.numpy_cupy_allclose(sp_name='sp') |
test_eye(self, xp, sp) |
self.assertIsInstance(x, sp.spmatrix) |
self.assertEqual(x.format, self.format) |
testing.with_requires('scipy') |
TestIdentity(unittest.TestCase) |
testing.numpy_cupy_allclose(sp_name='sp') |
test_eye(self, xp, sp) |
sp.identity(3, dtype=self.dtype, format=self.format) |
self.assertIsInstance(x, sp.spmatrix) |
self.assertEqual(x.format, self.format) |
testing.with_requires('scipy') |
TestSpdiags(unittest.TestCase) |
testing.numpy_cupy_allclose(sp_name='sp') |
test_spdiags(self, xp, sp) |
xp.arange(12, dtype=self.dtype) |
reshape(3, 4) |
xp.array([0, -1, 2], dtype='i') |
sp.spdiags(data, diags, 3, 4) |
TestRandom(unittest.TestCase) |
test_random(self) |
getattr(sparse, self.random_method) |
self.assertEqual(x.shape, (3, 4) |
self.assertEqual(x.dtype, self.dtype) |
self.assertEqual(x.format, self.format) |
test_random_with_seed(self) |
getattr(sparse, self.random_method) |
self.assertEqual(x.shape, (3, 4) |
self.assertEqual(x.dtype, self.dtype) |
self.assertEqual(x.format, self.format) |
getattr(sparse, self.random_method) |
self.assertTrue((x.toarray() |
y.toarray() |
all() |
test_random_with_state(self) |
cupy.random.RandomState(1) |
getattr(sparse, self.random_method) |
self.assertEqual(x.shape, (3, 4) |
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