def test_with_colors():
fig = Figure()
assert fig.with_colors
fig.with_colors = False
assert not fig.with_colors
with pytest.raises(ValueError):
fig.with_colors = 1
def test_origin():
fig = Figure()
assert fig.origin
fig.origin = False
assert not fig.origin
with pytest.raises(ValueError):
fig.origin = 1
def test_max_x():
fig = Figure()
fig.with_colors = False
fig.set_x_limits(max_=1)
fig.plot([-1, -0.5, -0, 0.5, 1, 1.5], [-1, -0.5, -0, 0.5, 1, 1.5])
print(fig.show())
expected = ' | -1.200000 -0.925000 -0.650000 -0.375000 -0.100000 0.1750000 0.4500000 0.7250000 1 '
assert expected == fig.show().split('\n')[-1]
def test_min_max_x():
fig = Figure()
fig.with_colors = False
fig.set_x_limits(min_=0, max_=1)
fig.plot([-1, -0.5, -0, 0.5, 1, 1.5], [-1, -0.5, -0, 0.5, 1, 1.5])
print(fig.show())
expected = ' | 0 0.1250000 0.2500000 0.3750000 0.5000000 0.6250000 0.7500000 0.8750000 1 '
assert expected == fig.show().split('\n')[-1]
def test_min_x():
fig = Figure()
fig.with_colors = False
fig.set_x_limits(min_=0)
fig.plot([-1, -0.5, -0, 0.5, 1, 1.5], [-1, -0.5, -0, 0.5, 1, 1.5])
print(fig.show())
expected = ' | 0 0.2062500 0.4125000 0.6187500 0.8250000 1.0312500 1.2375000 1.4437500 1.6500000'
assert expected == fig.show().split('\n')[-1]
def test_clear():
fig = Figure()
assert fig._plots == []
fig.plot([0.1, 0.2], [0.1, 0.2])
fig.plot([0.1, 0.2], [0.1, 0.2])
fig.plot([0.1, 0.2], [0.1, 0.2])
assert len(fig._plots) == 3
fig.clear()
assert fig._plots == []
fig.clear()
assert fig._plots == []
def test_scatter(get_canvas):
fig = Figure()
fig.scatter([], [])
assert len(fig._plots) == 0
fig.scatter([0.1, 0.2], [0.2, 0.3])
assert len(fig._plots) == 1
plot = fig._plots[0]
assert isinstance(plot, Plot)
assert plot.interp is None
assert plot.lc == 'white'
assert plot.width_vals() == [0.1, 0.2]
assert plot.height_vals() == [0.2, 0.3]
canvas = get_canvas()
plot.write(canvas, with_colors=False, in_fmt=fig._in_fmt)
assert canvas.point.call_count == 2 # two points
assert canvas.point.call_args_list == [
call(0.1, 0.2, color=None),
call(0.2, 0.3, color=None),
]
assert canvas.line.call_count == 0 # scatter
canvas = get_canvas()
plot.write(canvas, with_colors=True, in_fmt=fig._in_fmt)
assert canvas.point.call_count == 2 # two points
assert canvas.point.call_args_list == [
call(0.1, 0.2, color=plot.lc),
call(0.2, 0.3, color=plot.lc),
]
assert canvas.line.call_count == 0 # scatter
# different lc
fig.scatter([0.1, 0.2], [0.2, 0.3])
assert len(fig._plots) == 2
plot2 = fig._plots[1]
assert isinstance(plot2, Plot)
assert plot2.lc == 'red'
with pytest.raises(ValueError):
fig.scatter([1, 2], [0])
def test_date_min_max_x():
fig = Figure()
fig.with_colors = False
day = orig_datetime.timedelta(days=1)
now = orig_datetime.datetime(2018, 1, 16, 11, 9, 42, 100)
x = [now + i * day for i in range(6)]
fig.set_x_limits(min_=x[0], max_=x[-1])
fig.plot(x, [-1, -0.5, -0, 0.5, 1, 1.5])
print(fig.show())
expected = ' | 16T11:09 17T02:09 17T17:09 18T08:09 18T23:09 19T14:09 20T05:09 20T20:09 21T11:09 '
assert expected == fig.show().split('\n')[-1]
def test_min_max_y():
fig = Figure()
fig.with_colors = False
fig.set_y_limits(min_=0, max_=1)
fig.plot([-1, -0.5, -0, 0.5, 1, 1.5], [-1, -0.5, -0, 0.5, 1, 1.5])
res = fig.show()
print(res)
assert res.split('\n')[1].startswith(' 1 |')
assert res.split('\n')[-3].startswith(' 0 |')
def test_histogram(get_canvas, mocker):
fig = Figure()
fig.histogram([1, 1, 2, 3, 1], bins=3)
assert len(fig._plots) == 1
hist = fig._plots[0]
assert isinstance(hist, Histogram)
assert hist.width_vals() == [1, 1, 2, 3, 1]
assert hist.height_vals() == [3, 1, 1] # 3 x 1
assert hist.lc == 'white'
canvas = get_canvas()
canvas.dots_between = mocker.Mock(return_value=[1, 1])
canvas.xmin = 0
canvas.xmax = 5
hist.write(canvas, with_colors=False, in_fmt=fig._in_fmt)
assert canvas.point.call_count == 0
assert canvas.line.call_count == 3 # 1 dot between 1 and 2
def test_date_min_max_y():
fig = Figure()
fig.with_colors = False
day = orig_datetime.timedelta(days=1)
now = orig_datetime.datetime(2018, 1, 16, 11, 9, 42, 100)
y = [now + i * day for i in range(6)]
fig.set_y_limits(min_=y[0], max_=y[-1])
fig.plot([-1, -0.5, -0, 0.5, 1, 1.5], y)
res = fig.show()
print(res)
assert res.split('\n')[1].startswith(' 21T11:09 |')
assert res.split('\n')[-3].startswith(' 16T11:09 |')
def test_timehistogram_numpy():
fig = Figure()
fig.with_colors = False
day = np.timedelta64(1, 'D')
now = np.datetime64('2018-01-16T11:09:42.000100')
x = [now - i * day for i in range(10)]
fig.histogram(x, bins=8)
print(fig.show())
assert _histogram == fig.show()
def test_timehistogram_pendulum():
fig = Figure()
fig.with_colors = False
day = duration(days=1)
now = datetime(2018, 1, 16, 11, 9, 42, 100)
x = [now - i * day for i in range(10)]
fig.histogram(x, bins=8)
print(fig.show())
assert _histogram == fig.show()
def test_timehistogram_orig_dt():
fig = Figure()
fig.with_colors = False
day = orig_datetime.timedelta(days=1)
now = orig_datetime.datetime(2018, 1, 16, 11, 9, 42, 100)
x = [now - i * day for i in range(10)]
fig.histogram(x, bins=8)
print(fig.show())
assert _histogram == fig.show()
def test_timeseries_orig_dt():
fig = Figure()
fig.with_colors = False
day = orig_datetime.timedelta(days=1)
now = orig_datetime.datetime(2018, 1, 16, 11, 9, 42, 100)
x = [now - i * day for i in range(10)]
x = list(reversed(x))
y = [0.5, -0.5, 0.5, -0.5, 0.5, -0.5, 0.5, -0.5, 0.5, -0.5]
fig.plot(x, y)
print(fig.show())
assert _timeseries == fig.show()
def test_color_mode():
fig = Figure()
assert fig.color_mode == 'names'
fig.color_mode = 'byte'
assert fig.color_mode == 'byte'
with pytest.raises(ValueError):
fig.color_mode = 'rgba'
with pytest.raises(ValueError):
fig.color_mode = 15
fig.plot([0.5], [0.5])
with pytest.raises(RuntimeError):
fig.color_mode = 'names'
def test_width():
fig = Figure()
assert fig.width > 0
fig.width = 40
assert fig.width == 40
with pytest.raises(ValueError):
fig.width = 0
with pytest.raises(ValueError):
fig.width = -10
with pytest.raises(ValueError):
fig.width = '40'
res = fig.show().split('\n')
assert all(len(r) > 40 and len(r) < 55 for r in res[2:-2])
def test_height():
fig = Figure()
assert fig.height > 0
fig.height = 40
assert fig.height == 40
with pytest.raises(ValueError):
fig.height = 0
with pytest.raises(ValueError):
fig.height = -10
with pytest.raises(ValueError):
fig.height = '40'
res = fig.show().split('\n')
assert len(res) > 40
assert len(res) < 45
def test_float_converter():
fig = Figure()
fig.with_colors = False
fig.width = 30
fig.height = 15
def _converter(v):
return float(v) - 1
fig.register_float_converter(float, _converter)
fig.register_float_converter(int, _converter)
fig.plot(list(range(100)), [i % 20 for i in range(100)])
# axis are at the wrong position
expected = """\
(Y) ^
20.9000000 |
19.3800000 | ⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
17.8600000 | ⠀⠀⠀⡇⠀⠀⠀⣼⠀⠀⠀⠀⣼⠀⠀⠀⠀⣼⠀⠀⠀⠀⣼⠀⠀⠀⠀⡜⠀⠀
16.3400000 | ⠀⠀⠀⡇⠀⠀⢀⢿⠀⠀⠀⢀⢿⠀⠀⠀⢀⢿⠀⠀⠀⢀⢿⠀⠀⠀⢀⠇⠀⠀
14.8200000 | ⠀⠀⠀⡇⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⠀⠀⠀
13.3000000 | ⠀⠀⠀⡇⠀⠀⡇⢸⠀⠀⠀⡇⢸⠀⠀⠀⡇⢸⠀⠀⠀⡇⢸⠀⠀⠀⡇⠀⠀⠀
11.7800000 | ⠀⠀⠀⡇⠀⢰⠁⢸⠀⠀⢰⠁⢸⠀⠀⢰⠁⢸⠀⠀⢰⠁⢸⠀⠀⢰⠁⠀⠀⠀
10.2600000 | ⠀⠀⠀⡇⠀⡸⠀⢸⠀⠀⡸⠀⢸⠀⠀⡸⠀⢸⠀⠀⡸⠀⢸⠀⠀⡸⠀⠀⠀⠀
8.74000000 | ⠀⠀⠀⡇⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⡇⠀⠀⠀⠀
7.22000000 | ⠀⠀⠀⡇⢸⠀⠀⢸⠀⢸⠀⠀⢸⠀⢸⠀⠀⢸⠀⢸⠀⠀⢸⠀⢸⠀⠀⠀⠀⠀
5.70000000 | ⠀⠀⠀⡇⡎⠀⠀⢸⠀⡎⠀⠀⢸⠀⡎⠀⠀⢸⠀⡎⠀⠀⢸⠀⡎⠀⠀⠀⠀⠀
4.18000000 | ⠀⠀⠀⣧⠃⠀⠀⢸⢠⠃⠀⠀⢸⢠⠃⠀⠀⢸⢠⠃⠀⠀⢸⢠⠃⠀⠀⠀⠀⠀
2.66000000 | ⠀⠀⠀⣿⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⠀⠀⠀
1.14000000 | ⣀⣀⣀⣇⣀⣀⣀⣸⣇⣀⣀⣀⣸⣇⣀⣀⣀⣸⣇⣀⣀⣀⣸⣇⣀⣀⣀⣀⣀⣀
-0.3800000 | ⠀⠀⠰⡇⠀⠀⠀⠸⠁⠀⠀⠀⠸⠁⠀⠀⠀⠸⠁⠀⠀⠀⠸⠁⠀⠀⠀⠀⠀⠀
-1.9000000 | ⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-----------|-|---------|---------|---------|-> (X)
| -9.900000 29.700000 69.300000 108.90000"""
print(fig.show())
assert expected == fig.show()
def test_lbl_formatter():
fig = Figure()
fig.with_colors = False
fig.width = 30
fig.height = 15
def _num_formatter(val, chars, delta, left=False):
align = '<' if left else ''
return '{:{}{}d}'.format(int(val), align, chars)
fig.register_label_formatter(float, _num_formatter)
fig.register_label_formatter(int, _num_formatter)
fig.plot(list(range(100)), [i % 20 for i in range(100)])
expected = """\
(Y) ^
20 |
19 | ⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
17 | ⠀⠀⢸⠀⠀⠀⠀⣼⠀⠀⠀⠀⣼⠀⠀⠀⠀⣼⠀⠀⠀⠀⣼⠀⠀⠀⠀⡜⠀⠀
16 | ⠀⠀⢸⠀⠀⠀⢀⢿⠀⠀⠀⢀⢿⠀⠀⠀⢀⢿⠀⠀⠀⢀⢿⠀⠀⠀⢀⠇⠀⠀
14 | ⠀⠀⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⠀⠀⠀
13 | ⠀⠀⢸⠀⠀⠀⡇⢸⠀⠀⠀⡇⢸⠀⠀⠀⡇⢸⠀⠀⠀⡇⢸⠀⠀⠀⡇⠀⠀⠀
11 | ⠀⠀⢸⠀⠀⢰⠁⢸⠀⠀⢰⠁⢸⠀⠀⢰⠁⢸⠀⠀⢰⠁⢸⠀⠀⢰⠁⠀⠀⠀
10 | ⠀⠀⢸⠀⠀⡸⠀⢸⠀⠀⡸⠀⢸⠀⠀⡸⠀⢸⠀⠀⡸⠀⢸⠀⠀⡸⠀⠀⠀⠀
8 | ⠀⠀⢸⠀⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⡇⠀⢸⠀⠀⡇⠀⠀⠀⠀
7 | ⠀⠀⢸⠀⢸⠀⠀⢸⠀⢸⠀⠀⢸⠀⢸⠀⠀⢸⠀⢸⠀⠀⢸⠀⢸⠀⠀⠀⠀⠀
5 | ⠀⠀⢸⠀⡎⠀⠀⢸⠀⡎⠀⠀⢸⠀⡎⠀⠀⢸⠀⡎⠀⠀⢸⠀⡎⠀⠀⠀⠀⠀
4 | ⠀⠀⢸⢠⠃⠀⠀⢸⢠⠃⠀⠀⢸⢠⠃⠀⠀⢸⢠⠃⠀⠀⢸⢠⠃⠀⠀⠀⠀⠀
2 | ⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⢸⢸⠀⠀⠀⠀⠀⠀
1 | ⠀⠀⢸⡇⠀⠀⠀⢸⡇⠀⠀⠀⢸⡇⠀⠀⠀⢸⡇⠀⠀⠀⢸⡇⠀⠀⠀⠀⠀⠀
0 | ⠤⠤⢼⠥⠤⠤⠤⠼⠥⠤⠤⠤⠼⠥⠤⠤⠤⠼⠥⠤⠤⠤⠼⠥⠤⠤⠤⠤⠤⠤
-1 | ⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-----------|-|---------|---------|---------|-> (X)
| -9 29 69 108 """
print(fig.show())
assert expected == fig.show()
def test_show():
fig = Figure()
fig.with_colors = False
fig.histogram([1, 1, 2, 3, 1], bins=5)
expected = """ (Y) ^
3.30000000 |
3.21750000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
3.13500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
3.05250000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.97000000 | ⠀⠀⠀⠀⠀⠀⢠⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.88750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.80500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.72250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.64000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.55750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.47500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.39250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.31000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.22750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.14500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
2.06250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.98000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.89750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.81500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.73250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.65000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.56750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.48500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.40250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.32000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.23750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.15500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
1.07250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.99000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⡀⠀⠀⠀⠀⠀⠀
0.90750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.82500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.74250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.66000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.57750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.49500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.41250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.33000000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.24750000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.16500000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0.08250000 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
0 | ⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡇⠀⠀⠀⠀⠀⠀
-----------|-|---------|---------|---------|---------|---------|---------|---------|---------|-> (X)
| 0.8000000 1.1000000 1.4000000 1.7000000 2 2.3000000 2.6000000 2.9000000 3.2000000"""
print(fig.show()) # no legend, no origin
assert expected == fig.show()
assert fig.show(legend=True) == expected + '\n\nLegend:\n-------\n' # no label for histograms
fig.clear()
fig.plot([-0.1, 0.2], [-0.2, 0.3])
expected = """ (Y) ^
0.35000000 |
0.33500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.32000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.30500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.29000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀
0.27500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀
0.26000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.24500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.23000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.21500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.20000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.18500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.17000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.15500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.14000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.12500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.11000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.09500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.08000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.06500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.05000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.03500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.02000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0.00500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.0100000 | ⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⡏⠉⠉⡩⠋⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉
-0.0250000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.0400000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.0550000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.0700000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.0850000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.1000000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.1150000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.1300000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.1450000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.1600000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.1750000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.1900000 | ⠀⠀⠀⠀⠀⠀⠀⠀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.2050000 | ⠀⠀⠀⠀⠀⠀⠠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.2200000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.2350000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-0.2500000 | ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
-----------|-|---------|---------|---------|---------|---------|---------|---------|---------|-> (X)
| -0.130000 -0.085000 -0.040000 0.0050000 0.0500000 0.0950000 0.1400000 0.1850000 0.2300000"""
print(fig.show())
assert expected == fig.show() # no legend, origin
assert fig.show(legend=True) == expected + '\n\nLegend:\n-------\n⠤⠤ Label 0' # no label for histograms
def create_chart(scriptpath, args):
timerange = str(args.dayrange)
interval = ""
filename = scriptpath + timerange + "range_" + interval + "interval.json"
urllib3.disable_warnings()
if not path.isfile(filename) or (
time() - path.getmtime(filename)) / 60 > 15 or args.force:
url = "https://bitcoincharts.com/charts/chart.json?m=bitstampUSD&SubmitButton=Draw&r={0}&i={1}"\
.format(timerange, interval)
with open(filename, "w") as file:
dump(requests.get(url, verify=False).json(), file)
with open(filename, "r") as file:
response = load(file)
zipped = list(zip(*response))
timestamps = zipped[0]
weighted = zipped[7]
openprice = weighted[0]
closeprice = weighted[-1]
change = (closeprice - openprice) / openprice
if change > 0:
color = custom_text_color((38, 200, 0))
else:
color = custom_text_color((255, 43, 0))
print(f'Current price: ${closeprice:.2f}, {color}{change:.2%}{ENDC}')
if args.log:
weighted = [log(i) for i in weighted]
fig = Figure()
fig.width = int(args.width)
fig.height = int(args.height)
fig.x_axis_round = 2
fig.set_x_limits(min_=min(timestamps), max_=max(timestamps))
fig.set_y_limits(min_=min(weighted), max_=max(weighted))
fig.y_label = "USD/BTC"
fig.color_mode = 'byte'
fig.y_axis_transform = lambda x: "${:,.2f}".format(x)
if args.log:
fig.y_axis_transform = lambda x: "${:,.2f}".format(exp(x))
fig.x_axis_transform = lambda x: '{:%m-%d-%y}'.format(
datetime.fromtimestamp(x))
fig.plot(timestamps, weighted, lc=2, label="Bitcoin price")
print(fig.show(legend=True))
print('Data provided by bitcoincharts [{0}]'.format(
"http://bitcoincharts.com/"))
print('Last Updated {:.2} minutes ago'.format(
(time() - path.getmtime(filename)) / 60))
def limits(get_limits, set_limits):
fig = Figure()
assert get_limits(fig) == (0, 1)
set_limits(fig, min_=0.5)
assert get_limits(fig) == (0.5, 1)
set_limits(fig) # resetting
set_limits(fig, max_=0.5)
assert get_limits(fig) == (0, 0.5)
set_limits(fig) # resetting
set_limits(fig, min_=0.5)
set_limits(fig, max_=1.5)
assert get_limits(fig) == (0.5, 1.5)
set_limits(fig, min_=-2, max_=3.5)
assert get_limits(fig) == (-2, 3.5)
with pytest.raises(ValueError):
set_limits(fig, min_=20, max_=3.5)
set_limits(fig) # resetting
set_limits(fig, max_=1.5)
with pytest.raises(ValueError):
set_limits(fig, min_=20)
set_limits(fig) # resetting
set_limits(fig, min_=1.5)
with pytest.raises(ValueError):
set_limits(fig, max_=-20)
set_limits(fig) # resetting
set_limits(fig, min_=1.5)
assert get_limits(fig) == (1.5, 2.5) # min over default max -> max = min + 1
set_limits(fig) # resetting
set_limits(fig, max_=-1.5)
assert get_limits(fig) == (-2.5, -1.5) # max smaller than default min -> min = max - 1
fig.clear()
fig.plot([0], [0])
set_limits(fig) # resetting
assert get_limits(fig) == (-0.5, 0.5) # both min, max same, and 0 => +- 0.5
fig.clear()
fig.plot([0.5], [0.5])
set_limits(fig) # resetting
assert get_limits(fig) == (pytest.approx(0.45), pytest.approx(0.55)) # both min, max same, but not 0 => +-10%
fig.clear()
fig.plot([0.1, 0.2], [0.1, 0.2])
set_limits(fig) # resetting
assert get_limits(fig) == (pytest.approx(0.09), pytest.approx(0.21)) # diff 0.1 => +-10%
set_limits(fig, min_=0)
assert get_limits(fig) == (0, pytest.approx(0.22)) # diff 0.2 => +10%
set_limits(fig, max_=2)
assert get_limits(fig) == (0, 2) # min/max set
set_limits(fig) # resetting
set_limits(fig, max_=2)
assert get_limits(fig) == (pytest.approx(-0.09), 2) # diff 1.9 => -10%
set_limits(fig) # resetting
set_limits(fig, max_=0) # below value min
assert get_limits(fig) == (-1, 0) # have a valid window below graph
set_limits(fig) # resetting
set_limits(fig, min_=1) # above value max
assert get_limits(fig) == (1, 2) # have a valid window above graph
def plot_ram(self, show_legend=False) -> str:
"""
Creates a str with a histogram that can be printed to the command line.
:param show_legend: Shows a legend
:return: str
"""
ram = [
ram.size_update / 1000 # convert to MB
for ram in self.image_size_events
]
dates = [ram.time_stamp for ram in self.image_size_events]
if len(ram) == 0:
return "" # No memory usage detected
if len(ram) == 1:
return str(f"Single memory update found:\n"
f"Memory usage on the {dates[0]} "
f"was updated to {ram[0]} MB\n")
# else
fig = Figure()
fig.y_ticks_fkt = lambda x, y: self.mean_y_value(ram, x, y)
fig.width = 55
fig.height = 15
fig.set_x_limits(min_=min(dates))
min_ram = int(min(ram)) # raises error if not casted
fig.set_y_limits(min_=min_ram)
fig.y_label = "Usage [MB]"
fig.x_label = "Time"
# this will use the self written function _
# num_formatter, to convert the y-label to int values
fig.register_label_formatter(float, _int_formatter)
fig.plot(dates, ram, lc='green', label="Continuous Graph")
fig.scatter(dates, ram, lc='red', label="Single Values")
return fig.show(legend=show_legend)
def analyze(self, log_files: list_of_logs) -> log_inf_list:
"""
Analyze the given log files one by one.
:param log_files: list of valid HTCondor log files
:return: list with information of each log file
"""
logging.info('Starting the analyze mode')
if not log_files:
raise_value_error("No files to analyze")
result_list = list()
# create progressbar, do not redirect output
with Progress(transient=True, redirect_stdout=False,
redirect_stderr=False) as progress:
task = progress.add_task("Analysing...", total=len(log_files))
for file in log_files:
progress.update(task, advance=1)
result_dict = dict()
logging.debug(f"Analysing the HTCondor log file: {file}")
msg = f"[green]Job analysis of: {file}[/green]"
result_dict["description"] = msg
job_dict, res_dict, time_dict, \
ram_history, occurred_errors = self.log_to_dict(file)
if job_dict:
result_dict["execution-details"] = job_dict
if time_dict:
result_dict["times"] = time_dict
if res_dict:
result_dict["all-resources"] = \
self.manage_thresholds(res_dict)
# show HTCondor errors
if occurred_errors:
result_dict["errors"] = occurred_errors
# managing the ram history
if ram_history:
ram = np.array(ram_history.get('Image size updates'))
dates = np.array(ram_history.get('Dates'))
if ram_history and len(ram) > 1:
fig = Figure()
fig.width = 55
fig.height = 15
fig.set_x_limits(min_=min(dates))
min_ram = int(min(ram)) # raises error if not casted
fig.set_y_limits(min_=min_ram)
fig.y_label = "Usage"
fig.x_label = "Time"
# this will use the self written function _
# num_formatter, to convert the y-label to int values
fig.register_label_formatter(float, _int_formatter)
fig.plot(dates, ram, lc='green', label="Continuous Graph")
fig.scatter(dates, ram, lc='red', label="Single Values")
result_dict["ram-history"] = fig.show(
legend=self.show_legend)
elif ram_history:
msg = f"Single memory update found:\n" \
f"Memory usage on the {dates[0]} " \
f"was updatet to {ram[0]} MB"
result_dict["ram-history"] = msg
if self.show_list:
job_spec_id = self.get_job_spec_id(file)
if 'htc-err' in self.show_list:
result_dict['htc-err'] = self.htcondor_stderr(
job_spec_id + self.ext_err)
if 'htc-out' in self.show_list:
result_dict['htc-out'] = self.htcondor_stdout(
job_spec_id + self.ext_out)
result_list.append(result_dict)
return result_list
