def setup(self):
self.log_format = "%(levelname)s: %(message)s [%(name)s.%(funcName)s]"
kwargs = dict(config=self.config, tool=self)
self.tf = TFApplier(**kwargs)
script = "plot_tf"
self.p_tf = TFPlotter(**kwargs, shape="wide")
def setup(self):
self.log_format = "%(levelname)s: %(message)s [%(name)s.%(funcName)s]"
kwargs = dict(config=self.config, tool=self)
if (self.tfinput_path is None) != (self.vped_path is None):
self.log.warn("Both tf_input and vped need to be supplied to "
"view the input TF array")
self.tf = TFApplier(**kwargs)
self.p_tfspread = TFSpread(**kwargs)
self.p_tfselect = TFSelector(**kwargs)
if self.tfinput_path and self.vped_path:
self.p_tfinputspread = TFInputSpread(**kwargs)
self.p_tfinputselect = TFInputSelector(**kwargs)
def setup(self):
self.log_format = "%(levelname)s: %(message)s [%(name)s.%(funcName)s]"
kwargs = dict(config=self.config, tool=self)
self.tfa1 = TFApplier(**kwargs, tf_path=self.tf1_path)
self.tfa2 = TFApplier(**kwargs, tf_path=self.tf2_path)