mirror of https://github.com/VLSIDA/OpenRAM.git
Remove line ending whitespace
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2a778dca82
commit
e3fe8c3229
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@ -220,4 +220,3 @@ class lef:
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round(item[1],
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round(item[1],
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self.round_grid)))
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self.round_grid)))
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self.lef.write(" ;\n")
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self.lef.write(" ;\n")
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@ -153,4 +153,3 @@ class timing_graph():
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""" override print function output """
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""" override print function output """
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return str(self)
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return str(self)
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@ -118,5 +118,3 @@ class cacti(simulation):
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debug.info(1, "Dynamic Power: {0} mW".format(power.dynamic))
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debug.info(1, "Dynamic Power: {0} mW".format(power.dynamic))
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debug.info(1, "Leakage Power: {0} mW".format(power.leakage))
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debug.info(1, "Leakage Power: {0} mW".format(power.leakage))
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return power
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return power
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@ -40,4 +40,3 @@ class linear_regression(regression_model):
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pred = model.predict(features)
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pred = model.predict(features)
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return pred
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return pred
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@ -211,4 +211,3 @@ class voltage_at_measure(spice_measurement):
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meas_name = self.name
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meas_name = self.name
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targ_name = self.targ_name_no_port
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targ_name = self.targ_name_no_port
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return (meas_name, targ_name, time_at)
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return (meas_name, targ_name, time_at)
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@ -448,6 +448,3 @@ class model_check(delay):
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name_dict[self.sae_model_name] = name_dict["sae_measures"]
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name_dict[self.sae_model_name] = name_dict["sae_measures"]
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return name_dict
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return name_dict
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@ -41,4 +41,3 @@ class neural_network(regression_model):
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pred = model.predict(features)
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pred = model.predict(features)
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reshape_pred = np.reshape(pred, (len(pred),1))
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reshape_pred = np.reshape(pred, (len(pred),1))
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return reshape_pred
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return reshape_pred
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@ -205,4 +205,3 @@ class regression_model(simulation):
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OPTS.model_dict[model_name+"_coef"] = list(model.coef_[0])
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OPTS.model_dict[model_name+"_coef"] = list(model.coef_[0])
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debug.info(1,"Coefs of {}:{}".format(model_name,OPTS.model_dict[model_name+"_coef"]))
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debug.info(1,"Coefs of {}:{}".format(model_name,OPTS.model_dict[model_name+"_coef"]))
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OPTS.model_dict[model_name+"_intercept"] = float(model.intercept_)
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OPTS.model_dict[model_name+"_intercept"] = float(model.intercept_)
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@ -134,4 +134,3 @@ def bp():
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and whenever you encounter the debug.bp() they won't be "reset".
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and whenever you encounter the debug.bp() they won't be "reset".
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"""
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"""
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pass
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pass
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@ -290,4 +290,3 @@ class cell_properties():
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@property
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@property
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def row_cap_2port(self):
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def row_cap_2port(self):
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return self._row_cap_2port
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return self._row_cap_2port
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@ -267,27 +267,3 @@ if __name__ == "__main__":
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input_dir_path = sys.argv[1]
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input_dir_path = sys.argv[1]
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out_path = sys.argv[2]
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out_path = sys.argv[2]
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gen_model_csv(input_dir_path, out_path)
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gen_model_csv(input_dir_path, out_path)
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@ -213,8 +213,3 @@ class grid:
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"""
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"""
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path.set_path(False)
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path.set_path(False)
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path.set_blocked(True)
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path.set_blocked(True)
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@ -49,4 +49,3 @@ class grid_cell:
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type_string += "P"
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type_string += "P"
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return type_string
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return type_string
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@ -102,5 +102,3 @@ class signal_escape_router(router):
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# breakpoint()
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# breakpoint()
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self.write_debug_gds("debug_route.gds", True)
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self.write_debug_gds("debug_route.gds", True)
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@ -77,5 +77,3 @@ class supply_grid(signal_grid):
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wave = wave_path.neighbor(direct)
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wave = wave_path.neighbor(direct)
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return wave_path
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return wave_path
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@ -392,4 +392,3 @@ class supply_grid_router(router):
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debug.info(4, "Blocking supply rail")
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debug.info(4, "Blocking supply rail")
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for rail_name in self.supply_rail_tracks:
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for rail_name in self.supply_rail_tracks:
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self.rg.set_blocked(self.supply_rail_tracks[rail_name])
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self.rg.set_blocked(self.supply_rail_tracks[rail_name])
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