| # Copyright 2022 GlobalFoundries PDK Authors |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| ######################################################################################################################## |
| # BJT Generator for GF180MCU |
| ######################################################################################################################## |
| |
| import pya |
| from .draw_bjt import * |
| |
| |
| class npn_bjt(pya.PCellDeclarationHelper): |
| """ |
| NPN BJT Generator for GF180MCU |
| """ |
| |
| def __init__(self): |
| |
| # Important: initialize the super class |
| super(npn_bjt, self).__init__() |
| self.Type_handle = self.param("Type", self.TypeList, "Type") |
| self.Type_handle.add_choice("vnpn_10x10", "vnpn_10x10") |
| self.Type_handle.add_choice("vnpn_5x5", "vnpn_5x5") |
| self.Type_handle.add_choice("vnpn_0p54x16", "vnpn_0p54x16") |
| self.Type_handle.add_choice("vnpn_0p54x8", "vnpn_0p54x8") |
| self.Type_handle.add_choice("vnpn_0p54x4", "vnpn_0p54x4") |
| self.Type_handle.add_choice("vnpn_0p54x2", "vnpn_0p54x2") |
| self.param("Model", self.TypeString, "Model", default="gf180mcu_fd_pr__npn",readonly=True) |
| |
| def display_text_impl(self): |
| # Provide a descriptive text for the cell |
| return str(self.Type) |
| |
| def coerce_parameters_impl(self): |
| # We employ coerce_parameters_impl to decide whether the handle or the |
| # numeric parameter has changed (by comparing against the effective |
| # radius ru) and set ru to the effective radius. We also update the |
| # numerical value or the shape, depending on which on has not changed. |
| pass |
| |
| |
| def can_create_from_shape_impl(self): |
| # Implement the "Create PCell from shape" protocol: we can use any shape which |
| # has a finite bounding box |
| # return self.shape.is_box() or self.shape.is_polygon() or self.shape.is_path() |
| pass |
| |
| def parameters_from_shape_impl(self): |
| # Implement the "Create PCell from shape" protocol: we set r and l from the shape's |
| # bounding box width and layer |
| # self.r = self.shape.bbox().width() * self.layout.dbu / 2 |
| # self.l = self.layout.get_info(self.layer) |
| pass |
| |
| def transformation_from_shape_impl(self): |
| # Implement the "Create PCell from shape" protocol: we use the center of the shape's |
| # bounding box to determine the transformation |
| # return pya.Trans(self.shape.bbox().center()) |
| pass |
| |
| def produce_impl(self): |
| |
| # This is the main part of the implementation: create the layout |
| |
| self.percision = 1/self.layout.dbu |
| npn_instance = draw_npn(layout=self.layout,device_name=self.Type) |
| write_cells = pya.CellInstArray(npn_instance.cell_index(), pya.Trans(pya.Point(0, 0)), |
| pya.Vector(0, 0), pya.Vector(0, 0),1 , 1) |
| |
| self.cell.flatten(1) |
| self.cell.insert(write_cells) |
| self.layout.cleanup() |
| |
| class pnp_bjt(pya.PCellDeclarationHelper): |
| """ |
| PNP BJT Generator for GF180MCU |
| """ |
| |
| def __init__(self): |
| |
| # Important: initialize the super class |
| super(pnp_bjt, self).__init__() |
| self.Type_handle = self.param("Type", self.TypeList, "Type") |
| self.Type_handle.add_choice("vpnp_10x10", "vpnp_10x10") |
| self.Type_handle.add_choice("vpnp_5x5", "vpnp_5x5") |
| self.Type_handle.add_choice("vpnp_0p42x10", "vpnp_0p42x10") |
| self.Type_handle.add_choice("vpnp_0p42x5", "vpnp_0p42x5") |
| self.param("Model", self.TypeString, "Model", default="gf180mcu_fd_pr__pnp",readonly=True) |
| |
| def display_text_impl(self): |
| # Provide a descriptive text for the cell |
| return str(self.Type) |
| |
| def coerce_parameters_impl(self): |
| # We employ coerce_parameters_impl to decide whether the handle or the |
| # numeric parameter has changed (by comparing against the effective |
| # radius ru) and set ru to the effective radius. We also update the |
| # numerical value or the shape, depending on which on has not changed. |
| pass |
| |
| |
| def can_create_from_shape_impl(self): |
| # Implement the "Create PCell from shape" protocol: we can use any shape which |
| # has a finite bounding box |
| # return self.shape.is_box() or self.shape.is_polygon() or self.shape.is_path() |
| pass |
| |
| def parameters_from_shape_impl(self): |
| # Implement the "Create PCell from shape" protocol: we set r and l from the shape's |
| # bounding box width and layer |
| # self.r = self.shape.bbox().width() * self.layout.dbu / 2 |
| # self.l = self.layout.get_info(self.layer) |
| pass |
| |
| def transformation_from_shape_impl(self): |
| # Implement the "Create PCell from shape" protocol: we use the center of the shape's |
| # bounding box to determine the transformation |
| # return pya.Trans(self.shape.bbox().center()) |
| pass |
| |
| def produce_impl(self): |
| |
| # This is the main part of the implementation: create the layout |
| |
| self.percision = 1/self.layout.dbu |
| pnp_instance = draw_pnp(layout=self.layout,device_name=self.Type) |
| write_cells = pya.CellInstArray(pnp_instance.cell_index(), pya.Trans(pya.Point(0, 0)), |
| pya.Vector(0, 0), pya.Vector(0, 0),1 , 1) |
| |
| self.cell.flatten(1) |
| self.cell.insert(write_cells) |
| self.layout.cleanup() |
| |
| |
| |
| |
