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import bqplot
import numpy as np
import pandas as pd
from bqplot.traits import array_to_json, array_from_json
import pytest
def test_binary_serialize_1d(figure):
x = np.arange(10, dtype=np.float64)
y = (x**2).astype(np.int32)
scatter = bqplot.Scatter(x=x, y=y)
state = scatter.get_state()
assert state['x']['dtype'] == 'float64'
assert state['y']['dtype'] == 'int32'
assert state['x']['value'] == memoryview(x)
assert state['y']['value'] == memoryview(y)
assert state['x']['shape'] == (10,)
assert state['y']['shape'] == (10,)
scatter2 = bqplot.Scatter()
scatter2.set_state(state)
assert scatter.x.dtype == np.float64
assert scatter.y.dtype == np.int32
assert scatter.x.shape == (10,)
assert scatter.y.shape == (10,)
assert scatter2.x.tolist() == x.tolist()
assert scatter2.y.tolist() == y.tolist()
def test_binary_serialize_datetime():
x = np.arange('2005-02-25', '2005-03', dtype='datetime64[D]')
x_ms = np.array([1109289600000, 1109376000000, 1109462400000, 1109548800000], dtype=np.int64)
scatter = bqplot.Scatter(x=x)
state = scatter.get_state()
assert state['x']['dtype'] == 'float64'
assert np.array(state['x']['value'], dtype=np.float64).astype(np.int64).tolist() == x_ms.tolist()
x = np.array([pd.Timestamp('2005-02-25'), pd.Timestamp('2005-02-26'), pd.Timestamp('2005-02-27'), pd.Timestamp('2005-02-28')])
scatter = bqplot.Scatter(x=x)
state = scatter.get_state()
assert state['x']['dtype'] == 'float64'
assert np.array(state['x']['value'], dtype=np.float64).astype(np.int64).tolist() == x_ms.tolist()
# currently a roundtrip does not converse the datetime64 type
scatter2 = bqplot.Scatter()
scatter2.set_state(state)
assert scatter2.x.dtype.kind == 'M'
assert scatter2.x.astype(np.int64).tolist() == x_ms.tolist()
def test_binary_serialize_text():
# string do not get serialized in binary (since numpy uses utf32, and js/browsers do not support that)
text = np.array(['aap', 'noot', 'mies'])
label = bqplot.Label(text=text)
state = label.get_state()
assert state['text'] == ['aap', 'noot', 'mies']
# currently a roundtrip does not converse the datetime64 type
label2 = bqplot.Label()
label2.set_state(state)
assert label2.text.tolist() == label.text.tolist()
def test_dtype_with_str():
# dtype object is not supported
text = np.array(['foo', None, 'bar'])
assert text.dtype == object
with pytest.raises(ValueError, match='.*Unsupported dtype object*'), pytest.warns(UserWarning):
array_to_json(text)
# but if they contain all strings, it should convert them.
# This is for backward compatibility of expecting pandas dataframe
# string columns to work (which are of dtype==np.object)
text[1] = 'foobar'
assert array_to_json(text) == ['foo', 'foobar', 'bar']
def test_serialize_nested_list():
data = np.array([
[0, 1, 2, 3, 4, 5, 6],
[0, 1, 2, 2, 3],
[0, 1, 2, 3, 4, 5, 6, 7],
], dtype=object)
serialized_data = array_to_json(data)
assert len(serialized_data) == 3
assert serialized_data[0]['dtype'] == 'int32'
assert serialized_data[0]['value'] == memoryview(np.array(data[0]))
assert serialized_data[1]['dtype'] == 'int32'
assert serialized_data[1]['value'] == memoryview(np.array(data[1]))
assert serialized_data[2]['dtype'] == 'int32'
assert serialized_data[2]['value'] == memoryview(np.array(data[2]))
deserialized_data = array_from_json(serialized_data)
for el, deserialized_el in zip(data, deserialized_data):
assert np.all(el == deserialized_el)
data = np.array([
[0, 1, 2, 3, 4, 5, 6],
np.array([0, 1, 2, 2, 3]),
[0, 1, 2, 3]
], dtype=object)
serialized_data = array_to_json(data)
assert len(serialized_data) == 3
assert serialized_data[0]['dtype'] == 'int32'
assert serialized_data[0]['value'] == memoryview(np.array(data[0]))
assert serialized_data[1]['dtype'] == 'int32'
assert serialized_data[1]['value'] == memoryview(np.array(data[1]))
assert serialized_data[2]['dtype'] == 'int32'
assert serialized_data[2]['value'] == memoryview(np.array(data[2]))
deserialized_data = array_from_json(serialized_data)
for el, deserialized_el in zip(data, deserialized_data):
assert np.all(el == deserialized_el)
data = np.array([
['Hello', 'Hallo'],
['Coucou', 'Hi', 'Ciao']
], dtype=object)
serialized_data = array_to_json(data)
assert len(serialized_data) == 2
assert serialized_data[0] == ['Hello', 'Hallo']
assert serialized_data[1] == ['Coucou', 'Hi', 'Ciao']
deserialized_data = array_from_json(serialized_data)
assert np.all(data == deserialized_data)
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