def test_b_overwrite_dat(self):
dat = self.test_a_init_dat_from_exp_data()
DatHandler().get_dat(9111,
overwrite=True,
init_level='min',
exp2hdf=Testing_Exp2HDF)
self.assertTrue(True)
def test_a_init_dat_from_exp_data(self):
dat = DatHandler().get_dat(9111,
overwrite=False,
init_level='min',
exp2hdf=Testing_Exp2HDF)
self.assertTrue(True)
return dat
def test_d_basic_dat_attrs(self):
dat = DatHandler().get_dat(9111, exp2hdf=Testing_Exp2HDF)
exp_ans = {
9111: dat.datnum,
'base': dat.datname,
'Dat9111': dat.dat_id,
}
for k, v in exp_ans.items():
self.assertEqual(k, v)
def init_testing_dat(datnum, output_directory, allow_non_matching_directory=False, overwrite=True) -> DatHDF:
"""
Initialized Dat for testing purposes
Args:
datnum (int): Identifier of dat to load
dat_hdf_directory (str): Place to initialize dat to
Returns:
DatHDF: Returns dat instance which has HDF initialized in output_directory/Dat_HDFs/...
"""
dat_dir = os.path.abspath('fixtures/dats/2020Sep/')
if not allow_non_matching_directory:
output_directory = os.path.normpath(output_directory)
assert 'Outputs' in output_directory.split(os.sep)
Exp2hdf = get_testing_Exp2HDF(dat_dir, output_directory)
dat = DatHandler().get_dat(datnum, overwrite=True, exp2hdf=Exp2hdf)
return dat
import dash_html_components as html
from typing import List, Tuple, TYPE_CHECKING
import plotly.graph_objects as go
import numpy as np
from OLD.Dash.DatSpecificDash import SharedFigs
from OLD.Dash.DatSpecificDash import DatDashPageLayout, DatDashMain, DatDashSideBar
from dat_analysis.plotting.plotly.plotly_util import add_horizontal
from dat_analysis.dat_object.make_dat import DatHandler
import dat_analysis.useful_functions as U
from dash.exceptions import PreventUpdate
import logging
if TYPE_CHECKING:
from dat_analysis.dat_object.dat_hdf import DatHDF
get_dat = DatHandler().get_dat
logger = logging.getLogger(__name__)
class SharedLayout(DatDashPageLayout):
def get_mains(self) -> List[Tuple[str, DatDashMain]]:
return [('Shared Figure', SharedMain())]
def get_sidebar(self) -> DatDashSideBar:
return SharedSidebar()
@property
def id_prefix(self):
return 'Shared'
fig.add_trace(go.Scatter(x=lin_x, y=z, name=f'{dat.datnum}'))
fig.update_layout(
title=
f'Single wave averaged over all rows from {x_range[0]:.0f}mV to {x_range[-1]:.0f}mV - wavelen={wavelen}samples, freq={freq:.1f}Hz',
xaxis_title='Fraction of single cycle',
yaxis_title='Delta Current /nA')
fig.update_yaxes(showspikes=True)
# fig.show(renderer="browser")
return fig
# x_range = (-500, 500)
# dats = get_dats([3911, 3912])
# avg_transition_sw(dats, x_range)
if __name__ == '__main__':
from dat_analysis.dat_object.make_dat import DatHandler as DH
from dat_analysis.data_standardize.exp_specific.Sep20 import Fixes
import logging
logging.root.setLevel(level=logging.WARNING)
# dats = DH.get_dats([7031, 7032, 7033])
all_dats = DH.get_dats([7031, 7032, 7033])
for dat in all_dats:
Fixes.fix_magy(dat)
# fig = avg_transition_sw(dats, [-10000, 10000])
# fig.write_html('Testing ramp square wave.html')
def tearDown(self) -> None:
DatHandler().clear_dats()
def test_c_use_default_exp2hdf(self):
"""Do we get the same dat when relying on the set default Exp2HDF"""
dat_analysis.dat_object.make_dat.default_Exp2HDF = Testing_Exp2HDF # Set default in Make_Dat (this is the most common use case)
DatHandler().get_dat(9111)
self.assertTrue(True)
dat_analysis.dat_object.make_dat.default_Exp2HDF = None # Set default in Make_Dat (this is the most common use case)