Datasets:
celinelee
/
python_fn_calls

Dataset card Data Studio Files
xet
 Community
1
code
stringlengths
3
6.57k
self.api.xlOpenDriver()
__del__(self)
self.api.xlCloseDriver()
getchannelIdx(self, channel=0, app_name=None, busType=vxlapy.XL_INTERFACE_VERSION)
ctypes.c_uint(0)
ctypes.c_uint(0)
ctypes.c_uint(0)
print('Channel %d idex %d found'%(channel,channelIdx)
VxlBaseException("No HW port available")
getChannelMask(self, busType, channelIdx=1, xlInterfaceVersion=vxlapy.XL_INTERFACE_VERSION)
vxlapy.XLdriverConfig()
self.api.xlGetDriverConfig(ctypes.byref(driverConfig)
range(driverConfig.channelCount)
print("Channel %d cap 0x%x ifver %d" % (i, driverConfig.channel[i].channelBusCapabilities, driverConfig.channel[i].interfaceVersion)
print("Using %s, (sn=%06d, mask=0x%04x)
stringify(driverConfig.channel[i].name)
openPort(self, busType, userName='vxlapy', accessMask=None, permissionMask=None, rxQueueSize=32768, xlInterfaceVersion=vxlapy.XL_INTERFACE_VERSION_V4)
self.api.xlOpenPort(ctypes.byref(self.portHandle)
ctypes.byref(self.permissionMask)
VxlBaseException("No HW port available")
activateChannel(self, bustype)
self.api.xlActivateChannel(self.portHandle, self.accessMask, bustype, 0)
deactivateChannel(self)
self.api.xlDeactivateChannel(self.portHandle, self.accessMask)
flush_rx_buffer(self)
self.api.xlFlushReceiveQueue(self.portHandle)
flush_tx_buffer(self)
self.api.xlCanFlushTransmitQueue(self.portHandle, self.accessMask)
closePort(self)
self.api.xlDeactivateChannel(self.portHandle, self.accessMask)
self.api.xlClosePort(self.portHandle)
self.api.xlCloseDriver()
receive(self)
VxlBase()
StateBasedBucketer(object)
__init__(self, encoder)
fit(self, X, y=None)
self.encoder.fit_transform(X)
dt_encoded.drop_duplicates()
self.dt_states.assign(state = range(len(self.dt_states)
len(self.dt_states)
predict(self, X, y=None)
self.encoder.transform(X)
pd.merge(dt_encoded, self.dt_states, how='left')
dt_transformed.fillna(-1, inplace=True)
astype(int)
as_matrix()
fit_predict(self, X, y=None)
self.fit(X)
self.predict(X)
TestSeriesPlots(TestPlotBase)
setup_method(self, method)
TestPlotBase.setup_method(self, method)
mpl.rcdefaults()
tm.makeTimeSeries()
test_hist_legacy(self)
_check_plot_works(self.ts.hist)
_check_plot_works(self.ts.hist, grid=False)
_check_plot_works(self.ts.hist, figsize=(8, 10)
tm.assert_produces_warning(UserWarning)
_check_plot_works(self.ts.hist, by=self.ts.index.month)
tm.assert_produces_warning(UserWarning)
_check_plot_works(self.ts.hist, by=self.ts.index.month, bins=5)
self.plt.subplots(1, 1)
_check_plot_works(self.ts.hist, ax=ax)
_check_plot_works(self.ts.hist, ax=ax, figure=fig)
_check_plot_works(self.ts.hist, figure=fig)
tm.close()
self.plt.subplots(1, 2)
_check_plot_works(self.ts.hist, figure=fig, ax=ax1)
_check_plot_works(self.ts.hist, figure=fig, ax=ax2)
pytest.raises(ValueError)
self.ts.hist(by=self.ts.index, figure=fig)
test_hist_bins_legacy(self)
DataFrame(np.random.randn(10, 2)
df.hist(bins=2)
len(ax.patches)
test_hist_layout(self)
pytest.raises(ValueError)
df.height.hist(layout=(1, 1)
pytest.raises(ValueError)
df.height.hist(layout=[1, 1])
test_hist_layout_with_by(self)
tm.assert_produces_warning(UserWarning)
_check_plot_works(df.height.hist, by=df.gender, layout=(2, 1)
self._check_axes_shape(axes, axes_num=2, layout=(2, 1)
tm.assert_produces_warning(UserWarning)
_check_plot_works(df.height.hist, by=df.gender, layout=(3, -1)
self._check_axes_shape(axes, axes_num=2, layout=(3, 1)
tm.assert_produces_warning(UserWarning)
_check_plot_works(df.height.hist, by=df.category, layout=(4, 1)
self._check_axes_shape(axes, axes_num=4, layout=(4, 1)
tm.assert_produces_warning(UserWarning)
_check_plot_works(df.height.hist, by=df.category, layout=(2, -1)
self._check_axes_shape(axes, axes_num=4, layout=(2, 2)
tm.assert_produces_warning(UserWarning)
_check_plot_works(df.height.hist, by=df.category, layout=(3, -1)
self._check_axes_shape(axes, axes_num=4, layout=(3, 2)
tm.assert_produces_warning(UserWarning)
_check_plot_works(df.height.hist, by=df.category, layout=(-1, 4)