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Commit 347de1d1 by sakundu
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Updated CodeElement formatTranslators and added Ariane133-NG45 clustered netlist 

Signed-off-by: sakundu <sakundu@ucsd.edu>
parent ededa3b5
Showing with 1627 additions and 143 deletions
CodeElements/Clustering/src/clustering.py
...@@ -13,7 +13,8 @@ from FormatTranslators import MacroPin ...@@ -13,7 +13,8 @@ from FormatTranslators import MacroPin
class Clustering: class Clustering:
def __init__(self, design, src_dir, fixed_file, step_threshold = 100.6, distance = 1000.0, def __init__(self, design, src_dir, fixed_file, step_threshold = 100.6, distance = 1000.0,
grid_width = 30.0, max_num_vertices = 1000000, net_size_threshold = 300, grid_width = 30.0, max_num_vertices = 1000000, net_size_threshold = 300,
Nparts = 500, setup_file = "setup.tcl", RePlace = True, placement_density = 0.7, GUI = True): Nparts = 500, setup_file = "setup.tcl", result_dir = "./results",
RePlace = True, placement_density = 0.7, GUI = True):
""" """
parameter: design, help="design_name: ariane, MegaBoom_x2 ", type = str parameter: design, help="design_name: ariane, MegaBoom_x2 ", type = str
parameter: src_dir, help="directory for source codes", type = str parameter: src_dir, help="directory for source codes", type = str
...@@ -67,7 +68,6 @@ class Clustering: ...@@ -67,7 +68,6 @@ class Clustering:
self.net_file = self.hypergraph_file + ".net" self.net_file = self.hypergraph_file + ".net"
# set up result directories # set up result directories
result_dir = "./results"
if not os.path.exists(result_dir): if not os.path.exists(result_dir):
os.mkdir(result_dir) os.mkdir(result_dir)
...@@ -764,12 +764,14 @@ class ProBufFormat: ...@@ -764,12 +764,14 @@ class ProBufFormat:
if (len(adj_list[macro_pin]) == 0): if (len(adj_list[macro_pin]) == 0):
offset = self.macro_pin_offset[macro_pin] offset = self.macro_pin_offset[macro_pin]
inst_name = self.macro_pin_map[macro_pin] inst_name = self.macro_pin_map[macro_pin]
macro_type = self.insts[inst_name].GetType()
self.insts[inst_name].AddInputPin(MacroPin(macro_pin, inst_name, \ self.insts[inst_name].AddInputPin(MacroPin(macro_pin, inst_name, \
offset[0], offset[1])) offset[0], offset[1], macro_type))
else: else:
offset = self.macro_pin_offset[macro_pin] offset = self.macro_pin_offset[macro_pin]
inst_name = self.macro_pin_map[macro_pin] inst_name = self.macro_pin_map[macro_pin]
Pin = MacroPin(macro_pin, inst_name, offset[0], offset[1]) macro_type = self.insts[inst_name].GetType()
Pin = MacroPin(macro_pin, inst_name, offset[0], offset[1], macro_type)
Pin.AddSinks(adj_list[macro_pin].keys()) Pin.AddSinks(adj_list[macro_pin].keys())
self.insts[inst_name].AddOutputPin(Pin) self.insts[inst_name].AddOutputPin(Pin)
...@@ -777,12 +779,13 @@ class ProBufFormat: ...@@ -777,12 +779,13 @@ class ProBufFormat:
# add input pin # add input pin
inst_name = "Grp_" + str(i) inst_name = "Grp_" + str(i)
macro_pin = inst_name + "/Input" macro_pin = inst_name + "/Input"
self.insts[inst_name].AddInputPin(MacroPin(macro_pin, inst_name, 0.0, 0.0)) macro_type = self.insts[inst_name].GetType()
self.insts[inst_name].AddInputPin(MacroPin(macro_pin, inst_name, macro_type, 0.0, 0.0))
output_idx = 1 output_idx = 1
for key, weight in adj_list[inst_name].items(): for key, weight in adj_list[inst_name].items():
macro_pin = inst_name + "/Output_" + str(output_idx) macro_pin = inst_name + "/Output_" + str(output_idx)
output_idx += 1 output_idx += 1
Pin = MacroPin(macro_pin, inst_name, 0.0, 0.0) Pin = MacroPin(macro_pin, inst_name, macro_type, 0.0, 0.0)
Pin.AddSink(key) Pin.AddSink(key)
if key not in self.ios or key not in self.macro_pin_map: if key not in self.ios or key not in self.macro_pin_map:
Pin.SpecifyWeight(weight) Pin.SpecifyWeight(weight)
...@@ -794,7 +797,7 @@ class ProBufFormat: ...@@ -794,7 +797,7 @@ class ProBufFormat:
f = open(self.pbf_file, "w") f = open(self.pbf_file, "w")
for inst_name, inst in self.insts.items(): for inst_name, inst in self.insts.items():
f.write(str(inst)) f.write(str(inst))
if (inst.GetType() == "MACRO"): if inst.GetType() in ["MACRO","macro"]:
for macro_pin in inst.GetPins(): for macro_pin in inst.GetPins():
f.write(str(macro_pin)) f.write(str(macro_pin))
f.close() f.close()
......
CodeElements/FormatTranslators/src/FormatTranslators.py
...@@ -9,6 +9,24 @@ import shutil ...@@ -9,6 +9,24 @@ import shutil
import sys import sys
sys.path.append('./utils') sys.path.append('./utils')
# String Helper #
def print_placeholder(key, value):
line = " attr {\n"
line += f' key: "{key}"\n'
line += ' value {\n'
line += f' placeholder: "{value}"\n'
line += ' }\n'
line += ' }\n'
return line
def print_float(key, value):
line = " attr {\n"
line += f' key: "{key}"\n'
line += ' value {\n'
line += f' f: {value}\n'
line += ' }\n'
line += ' }\n'
return line
# Port # Port
class Port: class Port:
...@@ -48,6 +66,7 @@ class Port: ...@@ -48,6 +66,7 @@ class Port:
else: else:
name += char name += char
self.str += ' name: "' + name + '"\n' self.str += ' name: "' + name + '"\n'
for sink in self.sinks: for sink in self.sinks:
sink_new = '' sink_new = ''
for char in sink: for char in sink:
...@@ -57,30 +76,11 @@ class Port: ...@@ -57,30 +76,11 @@ class Port:
sink_new += char sink_new += char
sink = sink_new sink = sink_new
self.str += ' input: "' + sink + '"\n' self.str += ' input: "' + sink + '"\n'
self.str += " attr {\n"
self.str += ' key: "type"\n' self.str += print_placeholder('type', 'PORT')
self.str += ' value {\n' self.str += print_placeholder('side', self.side)
self.str += ' placeholder: "PORT"\n' self.str += print_float('x', self.x)
self.str += ' }\n' self.str += print_float('y', self.y)
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "side"\n'
self.str += ' value {\n'
self.str += ' placeholder: "' + self.side + '"\n'
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "x"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.x) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "y"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.y) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += "}\n" self.str += "}\n"
return self.str return self.str
...@@ -135,36 +135,12 @@ class StandardCell: ...@@ -135,36 +135,12 @@ class StandardCell:
sink_new += char sink_new += char
sink = sink_new sink = sink_new
self.str += ' input: "' + sink + '"\n' self.str += ' input: "' + sink + '"\n'
self.str += " attr {\n"
self.str += ' key: "type"\n' self.str += print_placeholder('type', 'STDCELL')
self.str += ' value {\n' self.str += print_float('height', self.height)
self.str += ' placeholder: "STDCELL"\n' self.str += print_float('width', self.width)
self.str += ' }\n' self.str += print_float('x', self.x)
self.str += ' }\n' self.str += print_float('y', self.y)
self.str += " attr {\n"
self.str += ' key: "height"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.height) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "width"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.width) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "x"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.x) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "y"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.y) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += "}\n" self.str += "}\n"
return self.str return self.str
...@@ -228,50 +204,22 @@ class Macro: ...@@ -228,50 +204,22 @@ class Macro:
else: else:
name += char name += char
self.str += ' name: "' + name + '"\n' self.str += ' name: "' + name + '"\n'
self.str += " attr {\n" self.str += print_placeholder('type', self.GetType())
self.str += ' key: "type"\n' self.str += print_placeholder('orientation', self.orientation)
self.str += ' value {\n' self.str += print_float('height', self.height)
self.str += ' placeholder: "' + self.GetType() + '\n' self.str += print_float('width', self.width)
self.str += ' }\n' self.str += print_float('x', self.x)
self.str += ' }\n' self.str += print_float('y', self.y)
self.str += " attr {\n"
self.str += ' key: "orientation"\n'
self.str += ' value {\n'
self.str += ' placeholder: "' + self.orientation + '"\n'
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "height"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.height) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "width"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.width) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "x"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.x) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "y"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.y) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += "}\n" self.str += "}\n"
return self.str return self.str
# Macro pin # Macro pin
class MacroPin: class MacroPin:
def __init__(self, name, macro_name, x_offset, y_offset, x = 0.0, y = 0.0): def __init__(self, name, macro_name, x_offset, y_offset, macro_type,
x = 0.0, y = 0.0):
self.name = name self.name = name
self.macro_name = macro_name self.macro_name = macro_name
self.macro_type = macro_type
self.x_offset = x_offset self.x_offset = x_offset
self.y_offset = y_offset self.y_offset = y_offset
self.x = x self.x = x
...@@ -316,55 +264,25 @@ class MacroPin: ...@@ -316,55 +264,25 @@ class MacroPin:
sink_new += char sink_new += char
sink = sink_new sink = sink_new
self.str += ' input: "' + sink + '"\n' self.str += ' input: "' + sink + '"\n'
self.str += " attr {\n"
self.str += ' key: "macro_name"\n'
self.str += ' value {\n'
macro_name = '' macro_name = ''
for char in self.macro_name: for char in self.macro_name:
if char == '\\': if char == '\\':
macro_name += '\\\\' macro_name += '\\\\'
else: else:
macro_name += char macro_name += char
self.str += ' placeholder: "' + str(macro_name) + '"\n' self.str += print_placeholder('macro_name', str(macro_name))
self.str += ' }\n' if self.macro_type == "MACRO":
self.str += ' }\n' self.str += print_placeholder('type', 'MACRO_PIN')
self.str += " attr {\n" else:
self.str += ' key: "type"\n' self.str += print_placeholder('type', 'macro_pin')
self.str += ' value {\n'
self.str += ' placeholder: "macro_pin"\n'
self.str += ' }\n'
self.str += ' }\n'
if (self.weight > 1): if (self.weight > 1):
self.str += " attr {\n" self.str += print_float('weight', self.weight)
self.str += ' key: "weight"\n'
self.str += ' value {\n' self.str += print_float('x_offset', self.x_offset)
self.str += ' f: ' + str(self.weight) + "\n" self.str += print_float('y_offset', self.y_offset)
self.str += ' }\n' self.str += print_float('x', self.x)
self.str += ' }\n' self.str += print_float('y', self.y)
self.str += " attr {\n"
self.str += ' key: "x_offset"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.x_offset) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "y_offset"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.y_offset) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "x"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.x) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += " attr {\n"
self.str += ' key: "y"\n'
self.str += ' value {\n'
self.str += ' f: ' + str(self.y) + "\n"
self.str += ' }\n'
self.str += ' }\n'
self.str += "}\n" self.str += "}\n"
return self.str return self.str
...@@ -646,7 +564,8 @@ class BookShelf2ProBufFormat: ...@@ -646,7 +564,8 @@ class BookShelf2ProBufFormat:
# We use the OpenDB database in OpenROAD to read lef/def files # We use the OpenDB database in OpenROAD to read lef/def files
# We have provided an openroad exe # We have provided an openroad exe
class ODB2ProBufFormat: class ODB2ProBufFormat:
def __init__(self, file_dir, design, output_file, openroad_exe, net_size_threshold): def __init__(self, file_dir, design, output_file, openroad_exe,
net_size_threshold):
self.design = design self.design = design
self.file_dir = file_dir self.file_dir = file_dir
self.db_file = file_dir + "/" + design + ".odb" self.db_file = file_dir + "/" + design + ".odb"
...@@ -668,7 +587,6 @@ class ODB2ProBufFormat: ...@@ -668,7 +587,6 @@ class ODB2ProBufFormat:
self.fp_ux = 0.0 self.fp_ux = 0.0
self.fp_uy = 0.0 self.fp_uy = 0.0
# functions # functions
self.CheckFiles() self.CheckFiles()
self.ReadOutlineFile() self.ReadOutlineFile()
...@@ -720,7 +638,8 @@ class ODB2ProBufFormat: ...@@ -720,7 +638,8 @@ class ODB2ProBufFormat:
print('*'*80) print('*'*80)
print("Outline Information") print("Outline Information")
print("[INFO] Core Size : ", self.fp_lx, self.fp_ly, self.fp_ux, self.fp_uy) print("[INFO] Core Size : ", self.fp_lx, self.fp_ly, self.fp_ux,
self.fp_uy)
print("\n\n") print("\n\n")
......
Flows/NanGate45/ariane133/netlist/legalized.plc 0 → 100644
# Placement file for Circuit Training
# Source input file(s) : ./output_ariane133_NanGate45/24cols_21rows/g500_ub5_nruns10_c5_r3_v3_rc1/netlist.pb.txt
# This file : ./output_ariane133_NanGate45/24cols_21rows/g500_ub5_nruns10_c5_r3_v3_rc1/legalized.plc
# Original initial placement :
# Date : 2022-07-31 03:45:58
# Columns : 24 Rows : 21
# Width : 1433.406 Height : 1433.406
# Area (stdcell+macros) : 1447227.522542122
# Wirelength : 4763106.815
# Wirelength cost : 0.0736
# Congestion cost : 0.7259
# Density cost : 0.4988
# Fake net cost : 0.0000
# 90% Congestion metric: (0, 0)
# Project : unset_project
# Block : unset_block
# Routes per micron, hor : 57.031 ver : 56.818
# Routes used by macros, hor : 39.583 ver : 30.303
# Smoothing factor : 0
# Use incremental cost : False
#
# To view this file (most options are default):
# viewer_binary --netlist_file ./output_ariane133_NanGate45/24cols_21rows/g500_ub5_nruns10_c5_r3_v3_rc1/netlist.pb.txt --canvas_width 1433.406 --canvas_height 1433.406 --grid_cols 24 --grid_rows=21 --init_placement ./output_ariane133_NanGate45/24cols_21rows/g500_ub5_nruns10_c5_r3_v3_rc1/legalized.plc --project unset_project --block_name unset_block --congestion_smooth_range 0 --overlap_threshold 0 --noboundary_check
# or you can simply run:
# viewer_binary --init_placement ./output_ariane133_NanGate45/24cols_21rows/g500_ub5_nruns10_c5_r3_v3_rc1/legalized.plc
#
#
#
# Counts of node types:
# HARD_MACROs : 133
# HARD_MACRO_PINs : 7847
# MACROs : 915
# MACRO_PINs : 18477
# PORTs : 495
# SOFT_MACROs : 782
# SOFT_MACRO_PINs : 10630
# STDCELLs : 0
#
# Hard Macro Placements:
# |0|0|0|0|0|0|0|0|0|0|1|1|1|1|1|1|1|1|1|1|2|2|2|2|
# |0|1|2|3|4|5|6|7|8|9|0|1|2|3|4|5|6|7|8|9|0|1|2|3|
# -------------------------------------------------
# 20|4|4| |4|4|4| |4|4|4| |4|4|4| |4|4|4| |4| | | | |
# 19|9|9| |9|9|9| |9|9|9| |9|9|9| |9|9|9| |9| | | | |
# 18|4|4| |4|9|9| |4|4|4|4|9|4|9|4|9|4|9|4|9| |4| | |
# 17| | | | |9|9| | | | |9|9| |9|9|9| |9|9|9| |9| | |
# 16| | | | |4|4| | | | |9|9| |9|9|9|4|4|9|9|4|4|4|4|
# 15| | | | | | | | | | |9|9| |9|9|9|9| |9|9|9| |9|9|
# 14| | | | | | | | | | |4|9| |4|4|4|4| |4|9|9| |9|9|
# 13| | | | | | | | | | | |9|4| |4|4|4| |4|9|9| |9|9|
# 12| | | | | | | | | | | |4|9| |9|9|9| |9|4|4| |4|4|
# 11| |4| | | | | | | | | | |9| |9|9|9|4|4|4|4|4| |4|
# 10| |9| | | | | | | | | | |9| |9|9|9|9| |9|9|9| |9|
# 9|4|9| | | | | |4| |4|4|4|4| |9|4|9|9| |9|9|9|4|4|
# 8|9|9| | | | | |9| |9|9|9|4| |9| |9|9| |9|9|9|9|4|
# 7|4|4| | | | | |4| |4|4|4|9| |9|4|9|9|4|9|4|4|4|9|
# 6|4|4| |4|4|4| |4|4|4| |4|9| |9|9|9|9|9|9|4|4|4|9|
# 5|9|9| |9|9|9| |9|9|9| |9|9| |4|4|4|4|4|4|9|9|9|9|
# 4|9|9| |9|9|9| |9|9|9| |9|9|4|4|4|4|4|4|4|9|9|9|9|
# 3|9|9| |9|9|9| |9|9|9| |9|9|9|9|9|9|9|9|9|9|9|9|9|
# 2|9|4|4|9|9|9| |9|9|9| |9|9|9|4|9|9|9|9|9|9|9|9|9|
# 1|9| |9|9|9|9| |9|9|9| |9|9|9| |9|9|9|9|9|9|9|9|9|
# 0|4| |4|4|4|4| |4|4|4| |4|4|4| |4|4|4|4|4|4|4|4|4|
# -------------------------------------------------
#
# Overall Placement Density:
# |0|0|0|0|0|0|0|0|0|0|1|1|1|1|1|1|1|1|1|1|2|2|2|2|
# |0|1|2|3|4|5|6|7|8|9|0|1|2|3|4|5|6|7|8|9|0|1|2|3|
# -------------------------------------------------
# 20|4|4| |4|4|4| |4|4|4| |4|4|5| |4|4|4| |4| | | | |
# 19|9|9| |9|9|9| |9|9|9| |9|9|9| |9|9|9| |9| | | | |
# 18|4|4| |4|9|9|1|8|9|4|5|9|4|9|4|9|4|9|4|9| |4| | |
# 17|6|9|5|1|9|9|9|9|7|5|9|9| |9|9|9| |9|9|9| |9| | |
# 16|9|9|9|#|9|7|9|9|9|6|9|9| |9|9|9|4|4|9|9|4|4|4|4|
# 15|9|9|9|9|9|#|9|9|9|8|9|9| |9|9|9|9| |9|9|9| |9|9|
# 14|9|9|9|#|9|#|#|9|9|6|4|9|1|5|4|4|4| |5|9|9| |9|9|
# 13|9|9|9|9|9|9|9|9|9|9|#|9|6| |4|4|4| |6|9|9| |9|9|
# 12|9|#|9|9|9|9|9|9|9|7|9|9|9|1|9|9|9| |9|5|4| |4|4|
# 11|9|9|9|#|9|9|9|9|9|9|7|9|9| |9|9|9|4|4|4|4|4| |4|
# 10|9|9|9|9|9|9|9|9|9|9|9|8|9| |9|9|9|9| |9|9|9| |9|
# 9|9|9|9|9|9|9|9|9|9|9|9|#|7| |9|4|9|9|2|9|9|9|4|4|
# 8|9|9|#|9|9|9|9|9|7|9|9|9|5|4|9| |9|9|3|9|9|9|9|4|
# 7|4|5|9|9|9|9|9|9| |4|5|5|9| |9|4|9|9|4|9|4|4|4|9|
# 6|4|4|4|9|9|9|9|6|5|4| |4|9| |9|9|9|9|9|9|4|4|4|9|
# 5|9|9| |9|9|9| |9|9|9| |9|9| |4|4|4|4|4|4|9|9|9|9|
# 4|9|9| |9|9|9| |9|9|9| |9|9|4|4|4|4|4|4|4|9|9|9|9|
# 3|9|9| |9|9|9|1|9|9|9| |9|9|9|9|9|9|9|9|9|9|9|9|9|
# 2|9|4|4|9|9|9| |9|9|9| |9|9|9|4|9|9|9|9|9|9|9|9|9|
# 1|9| |9|9|9|9| |9|9|9| |9|9|9| |9|9|9|9|9|9|9|9|9|
# 0|4| |4|4|4|4| |4|4|4| |4|4|4| |4|4|4|4|4|4|4|4|5|
# -------------------------------------------------
#
# Horizontal Routing Congestion:
# |0|0|0|0|0|0|0|0|0|0|1|1|1|1|1|1|1|1|1|1|2|2|2|2|
# |0|1|2|3|4|5|6|7|8|9|0|1|2|3|4|5|6|7|8|9|0|1|2|3|
# -------------------------------------------------
# 20|3|3| |3|3|3| |3|3|3| |3|3|3| |3|3|3| |3| | | | |
# 19|7|7| |7|7|7| |7|7|7| |7|7|7| |7|7|7| |7| | | | |
# 18|3|3| |3|6|6| |3|3|3|3|6|3|6|3|6|3|6|3|6| |3| | |
# 17| | | | |7|7| | | | |7|7| |7|7|7| |7|7|6| |6| | |
# 16| | | | |3|3| | | | |6|6| |6|6|6|3|3|6|6|3|3|3|3|
# 15| |1|1| | | | | | | |7|7| |6|6|6|6| |7|7|7| |6|6|
# 14| | | | | | | | | | |3|7| |3|3|3|3| |3|6|6| |6|6|
# 13| | | | | |1| | | |1| |7|4| |3|3|3| |3|7|7| |7|6|
# 12| | | |1| |1|1| | | | |3|7| |7|7|7| |7|3|3| |3|3|
# 11| |3| | |1|1| | | | | | |6| |6|6|6|3|3|3|3|3| |3|
# 10| |7|1|1|1|1| | | | | | |7| |7|6|6|6| |7|7|6| |6|
# 9|3|7| | | | | |3| |3|3|3|3| |6|3|6|6| |6|6|6|3|3|
# 8|7|7| | | | | |7| |7|7|7|3|1|7| |7|7| |7|7|7|6|3|
# 7|3|3| | | | | |3| |3|3|3|7| |7|3|6|6|3|6|3|3|3|6|
# 6|3|3| |3|3|3| |3|3|3| |3|6| |6|6|6|6|6|6|3|3|3|6|
# 5|6|7| |6|6|7| |7|7|7| |7|7| |3|3|3|3|3|3|7|6|6|6|
# 4|6|6| |6|6|6| |6|6|6| |6|6|3|3|3|3|3|3|3|6|6|6|6|
# 3|7|7| |6|7|7| |7|7|7| |7|7|7|7|7|7|7|7|6|7|7|7|6|
# 2|6|3|3|6|6|6| |6|6|6| |6|6|6|3|6|6|6|6|6|6|6|6|6|
# 1|6| |6|6|7|7| |7|7|7| |7|7|7| |7|7|7|7|7|7|7|7|6|
# 0|3| |3|3|3|3| |3|3|3| |3|3|3| |3|3|3|3|3|3|3|3|3|
# -------------------------------------------------
#
# Vertical Routing Congestion:
# |0|0|0|0|0|0|0|0|0|0|1|1|1|1|1|1|1|1|1|1|2|2|2|2|
# |0|1|2|3|4|5|6|7|8|9|0|1|2|3|4|5|6|7|8|9|0|1|2|3|
# -------------------------------------------------
# 20| | | | | | | | | | | | | | | | | | | | | | | | |
# 19|5|5| |5|5|5| |5|5|5| |5|5|5| |5|5|5| |5| | | | |
# 18|5|5| |5|5|5| |5|5|5| |5|5|5| |5|5|5| |5| | | | |
# 17| | | | |5|5| | | | |5|5| |5|5|5| |5|5|5| |5| | |
# 16| | | | |5|5| |1|1| |5|5| |5|5|5| |5|5|5| |5| | |
# 15| | | | | | |1|1| | |5|5| |5|5|5|5| |5|5|5| |5|5|
# 14|1| | | | | |1| | | |5|5| |5|5|5|5| |5|5|5| |5|5|
# 13|1| | | | |1|1| | | | |5| | | | | | | |5|5| |5|5|
# 12|1| | | | |1|1|1| | | |5|5| |5|5|5| |5|5|5| |5|5|
# 11| | | |1| | |1|1| | | | |5| |5|5|5| |5| | | | | |
# 10|1|5|1|1|1| | | | | | | |5| |5|5|5|5| |5|5|5| |5|
# 9| |5|1| | | | | | | | | |5| |5|5|5|5| |5|5|5| |5|
# 8|5|5| | | | | |5| |5|5|5| | |5| |5|5|1|5|5|5|5| |
# 7|5|5|1| | |1|1|5| |5|5|5|5|1|5| |5|5| |5|5|5|5|5|
# 6| | |1| | | | | | | | | |5| |5|5|5|5|5|5| | | |5|
# 5|5|5| |5|5|5| |5|5|5| |5|5| |5|5|5|5|5|5|5|5|5|5|
# 4|5|5| |5|5|5| |5|5|5| |5|5| | | | | | | |5|5|5|5|
# 3|5|5| |5|5|5| |5|5|5| |5|5|5|5|5|5|5|5|5|5|5|5|5|
# 2|5|5| |5|5|5| |5|5|5| |5|5|5|5|5|5|5|5|5|5|5|5|5|
# 1|5| |5|5|5|5| |5|5|5| |5|5|5| |5|5|5|5|5|5|5|5|5|
# 0|5| |5|5|5|5| |5|5|5| |5|5|5| |5|5|5|5|5|5|5|5|6|
# -------------------------------------------------
#
# User comments:
# Original file : /home/zf4_projects/DREAMPlace/sakundu/ABK_MP/07222022_flow_scripts/MacroPlacement/Flows/NanGate45/ariane133/run-20220731-023129/flow2/ariane.pb.txt
# Initial placement : ./output_ariane133_NanGate45/24cols_21rows/g500_ub5_nruns10_c5_r3_v3_rc1/initial.plc
#
#
# node_index x y orientation fixed
0 0.035 350.07 - 1
1 0.035 353.71 - 1
2 0.035 357.35 - 1
3 0.035 360.99 - 1
4 0.035 364.63 - 1
5 0.035 368.27 - 1
6 0.035 371.91 - 1
7 0.035 375.55 - 1
8 0.035 379.33 - 1
9 0.035 382.97 - 1
10 0.035 386.61 - 1
11 0.035 390.25 - 1
12 0.035 393.89 - 1
13 0.035 397.53 - 1
14 0.035 401.17 - 1
15 0.035 404.81 - 1
16 0.035 408.59 - 1
17 0.035 412.23 - 1
18 0.035 415.87 - 1
19 0.035 419.51 - 1
20 0.035 423.15 - 1
21 0.035 426.79 - 1
22 0.035 430.43 - 1
23 0.035 434.07 - 1
24 0.035 437.85 - 1
25 0.035 441.49 - 1
26 0.035 445.13 - 1
27 0.035 448.77 - 1
28 0.035 452.41 - 1
29 0.035 456.05 - 1
30 0.035 459.69 - 1
31 0.035 463.47 - 1
32 0.035 467.11 - 1
33 0.035 470.75 - 1
34 0.035 474.39 - 1
35 0.035 478.03 - 1
36 0.035 481.67 - 1
37 0.035 485.31 - 1
38 0.035 488.95 - 1
39 0.035 492.73 - 1
40 0.035 496.37 - 1
41 0.035 500.01 - 1
42 0.035 503.65 - 1
43 0.035 507.29 - 1
44 0.035 510.93 - 1
45 0.035 514.57 - 1
46 0.035 518.21 - 1
47 0.035 521.99 - 1
48 0.035 525.63 - 1
49 0.035 529.27 - 1
50 0.035 532.91 - 1
51 0.035 536.55 - 1
52 0.035 540.19 - 1
53 0.035 543.83 - 1
54 0.035 547.61 - 1
55 0.035 551.25 - 1
56 0.035 554.89 - 1
57 0.035 558.53 - 1
58 0.035 562.17 - 1
59 0.035 565.81 - 1
60 0.035 569.45 - 1
61 0.035 573.09 - 1
62 0.035 576.87 - 1
63 0.035 580.51 - 1
64 0.035 584.15 - 1
65 0.035 587.79 - 1
66 0.035 591.43 - 1
67 0.035 595.07 - 1
68 0.035 598.71 - 1
69 0.035 602.35 - 1
70 0.035 606.13 - 1
71 0.035 609.77 - 1
72 0.035 613.41 - 1
73 0.035 617.05 - 1
74 0.035 620.69 - 1
75 0.035 624.33 - 1
76 0.035 627.97 - 1
77 0.035 631.75 - 1
78 0.035 635.39 - 1
79 0.035 639.03 - 1
80 0.035 642.67 - 1
81 0.035 646.31 - 1
82 0.035 649.95 - 1
83 0.035 653.59 - 1
84 0.035 657.23 - 1
85 0.035 661.01 - 1
86 0.035 664.65 - 1
87 0.035 668.29 - 1
88 0.035 671.93 - 1
89 0.035 675.57 - 1
90 0.035 679.21 - 1
91 0.035 682.85 - 1
92 0.035 686.49 - 1
93 0.035 690.27 - 1
94 0.035 693.91 - 1
95 0.035 697.55 - 1
96 0.035 701.19 - 1
97 0.035 704.83 - 1
98 0.035 708.47 - 1
99 0.035 712.11 - 1
100 0.035 715.89 - 1
101 0.035 719.53 - 1
102 0.035 723.17 - 1
103 0.035 726.81 - 1
104 0.035 730.45 - 1
105 0.035 734.09 - 1
106 0.035 737.73 - 1
107 0.035 741.37 - 1
108 0.035 745.15 - 1
109 0.035 748.79 - 1
110 0.035 752.43 - 1
111 0.035 756.07 - 1
112 0.035 759.71 - 1
113 0.035 763.35 - 1
114 0.035 766.99 - 1
115 0.035 770.63 - 1
116 0.035 774.41 - 1
117 0.035 778.05 - 1
118 0.035 781.69 - 1
119 0.035 785.33 - 1
120 0.035 788.97 - 1
121 0.035 792.61 - 1
122 0.035 796.25 - 1
123 0.035 799.89 - 1
124 0.035 803.67 - 1
125 0.035 807.31 - 1
126 0.035 810.95 - 1
127 0.035 814.59 - 1
128 0.035 818.23 - 1
129 0.035 821.87 - 1
130 0.035 825.51 - 1
131 0.035 829.29 - 1
132 0.035 832.93 - 1
133 0.035 836.57 - 1
134 0.035 840.21 - 1
135 0.035 843.85 - 1
136 0.035 847.49 - 1
137 0.035 851.13 - 1
138 0.035 854.77 - 1
139 0.035 858.55 - 1
140 0.035 862.19 - 1
141 0.035 865.83 - 1
142 0.035 869.47 - 1
143 0.035 873.11 - 1
144 0.035 876.75 - 1
145 0.035 880.39 - 1
146 0.035 884.03 - 1
147 0.035 887.81 - 1
148 0.035 891.45 - 1
149 0.035 895.09 - 1
150 0.035 898.73 - 1
151 0.035 902.37 - 1
152 0.035 906.01 - 1
153 0.035 909.65 - 1
154 0.035 913.43 - 1
155 0.035 917.07 - 1
156 0.035 920.71 - 1
157 0.035 924.35 - 1
158 0.035 927.99 - 1
159 0.035 931.63 - 1
160 0.035 935.27 - 1
161 0.035 938.91 - 1
162 0.035 942.69 - 1
163 0.035 946.33 - 1
164 0.035 949.97 - 1
165 0.035 953.61 - 1
166 0.035 957.25 - 1
167 0.035 960.89 - 1
168 0.035 964.53 - 1
169 0.035 968.17 - 1
170 0.035 971.95 - 1
171 0.035 975.59 - 1
172 0.035 979.23 - 1
173 0.035 982.87 - 1
174 0.035 986.51 - 1
175 0.035 990.15 - 1
176 0.035 993.79 - 1
177 0.035 997.57 - 1
178 0.035 1001.21 - 1
179 0.035 1004.85 - 1
180 0.035 1008.49 - 1
181 0.035 1012.13 - 1
182 0.035 1015.77 - 1
183 0.035 1019.41 - 1
184 0.035 1023.05 - 1
185 0.035 1026.83 - 1
186 0.035 1030.47 - 1
187 0.035 1034.11 - 1
188 0.035 1037.75 - 1
189 0.035 1041.39 - 1
190 0.035 1045.03 - 1
191 0.035 1048.67 - 1
192 0.035 1052.31 - 1
193 0.035 1056.09 - 1
194 0.035 1059.73 - 1
195 0.035 1063.37 - 1
196 0.035 1067.01 - 1
197 0.035 1070.65 - 1
198 0.035 1074.29 - 1
199 0.035 1077.93 - 1
200 0.035 1081.71 - 1
201 0.035 1085.35 - 1
202 0.035 1088.99 - 1
203 0.035 1092.63 - 1
204 0.035 1096.27 - 1
205 0.035 1099.91 - 1
206 0.035 1103.55 - 1
207 0.035 1107.19 - 1
208 0.035 1110.97 - 1
209 0.035 1114.61 - 1
210 0.035 1118.25 - 1
211 0.035 1121.89 - 1
212 0.035 1125.53 - 1
213 0.035 1129.17 - 1
214 0.035 1132.81 - 1
215 0.035 1136.45 - 1
216 0.035 1140.23 - 1
217 0.035 1143.87 - 1
218 0.035 1147.51 - 1
219 0.035 1151.15 - 1
220 0.035 1154.79 - 1
221 0.035 1158.43 - 1
222 0.035 1162.07 - 1
223 0.035 1165.71 - 1
224 0.035 1169.49 - 1
225 0.035 1173.13 - 1
226 0.035 1176.77 - 1
227 0.035 1180.41 - 1
228 0.035 1184.05 - 1
229 0.035 1187.69 - 1
230 0.035 1191.33 - 1
231 0.035 1195.11 - 1
232 0.035 1198.75 - 1
233 0.035 1202.39 - 1
234 0.035 1206.03 - 1
235 0.035 1209.67 - 1
236 0.035 1213.31 - 1
237 0.035 1216.95 - 1
238 0.035 1220.59 - 1
239 0.035 1224.23 - 1
240 0.035 1228.01 - 1
241 0.035 1231.65 - 1
242 0.035 1235.29 - 1
243 0.035 1238.93 - 1
244 0.035 1242.57 - 1
245 0.035 1246.21 - 1
246 0.035 1249.85 - 1
247 0.07 350.07 - 1
248 0.07 353.71 - 1
249 0.07 357.35 - 1
250 0.07 360.99 - 1
251 0.07 364.63 - 1
252 0.07 368.27 - 1
253 0.07 371.91 - 1
254 0.07 375.55 - 1
255 0.07 379.19 - 1
256 0.07 382.83 - 1
257 0.07 386.47 - 1
258 0.07 390.11 - 1
259 0.07 393.75 - 1
260 0.07 397.39 - 1
261 0.07 401.03 - 1
262 0.07 404.67 - 1
263 0.07 408.31 - 1
264 0.07 411.95 - 1
265 0.07 415.59 - 1
266 0.07 419.23 - 1
267 0.07 422.87 - 1
268 0.07 426.51 - 1
269 0.07 430.15 - 1
270 0.07 433.79 - 1
271 0.07 437.43 - 1
272 0.07 441.07 - 1
273 0.07 444.71 - 1
274 0.07 448.35 - 1
275 0.07 451.99 - 1
276 0.07 455.63 - 1
277 0.07 459.27 - 1
278 0.07 462.91 - 1
279 0.07 466.55 - 1
280 0.07 470.19 - 1
281 0.07 473.83 - 1
282 0.07 477.47 - 1
283 0.07 481.11 - 1
284 0.07 484.75 - 1
285 0.07 488.39 - 1
286 0.07 492.03 - 1
287 0.07 495.67 - 1
288 0.07 499.31 - 1
289 0.07 503.09 - 1
290 0.07 506.73 - 1
291 0.07 510.37 - 1
292 0.07 514.01 - 1
293 0.07 517.65 - 1
294 0.07 521.29 - 1
295 0.07 524.93 - 1
296 0.07 528.57 - 1
297 0.07 532.21 - 1
298 0.07 535.85 - 1
299 0.07 539.49 - 1
300 0.07 543.13 - 1
301 0.07 546.77 - 1
302 0.07 550.41 - 1
303 0.07 554.05 - 1
304 0.07 557.69 - 1
305 0.07 561.33 - 1
306 0.07 564.97 - 1
307 0.07 568.61 - 1
308 0.07 572.25 - 1
309 0.07 575.89 - 1
310 0.07 579.53 - 1
311 0.07 583.17 - 1
312 0.07 586.81 - 1
313 0.07 590.45 - 1
314 0.07 594.09 - 1
315 0.07 597.73 - 1
316 0.07 601.37 - 1
317 0.07 605.01 - 1
318 0.07 608.65 - 1
319 0.07 612.29 - 1
320 0.07 615.93 - 1
321 0.07 619.57 - 1
322 0.07 623.21 - 1
323 0.07 626.85 - 1
324 0.07 630.49 - 1
325 0.07 634.13 - 1
326 0.07 637.77 - 1
327 0.07 641.41 - 1
328 0.07 645.05 - 1
329 0.07 648.69 - 1
330 0.07 652.47 - 1
331 0.07 656.11 - 1
332 0.07 659.75 - 1
333 0.07 663.39 - 1
334 0.07 667.03 - 1
335 0.07 670.67 - 1
336 0.07 674.31 - 1
337 0.07 677.95 - 1
338 0.07 681.59 - 1
339 0.07 685.23 - 1
340 0.07 688.87 - 1
341 0.07 692.51 - 1
342 0.07 696.15 - 1
343 0.07 699.79 - 1
344 0.07 703.43 - 1
345 0.07 707.07 - 1
346 0.07 710.71 - 1
347 0.07 714.35 - 1
348 0.07 717.99 - 1
349 0.07 721.63 - 1
350 0.07 725.27 - 1
351 0.07 728.91 - 1
352 0.07 732.55 - 1
353 0.07 736.19 - 1
354 0.07 739.83 - 1
355 0.07 743.47 - 1
356 0.07 747.11 - 1
357 0.07 750.75 - 1
358 0.07 754.39 - 1
359 0.07 758.03 - 1
360 0.07 761.67 - 1
361 0.07 765.31 - 1
362 0.07 768.95 - 1
363 0.07 772.59 - 1
364 0.07 776.23 - 1
365 0.07 779.87 - 1
366 0.07 783.51 - 1
367 0.07 787.15 - 1
368 0.07 790.79 - 1
369 0.07 794.43 - 1
370 0.07 798.07 - 1
371 0.07 801.85 - 1
372 0.07 805.49 - 1
373 0.07 809.13 - 1
374 0.07 812.77 - 1
375 0.07 816.41 - 1
376 0.07 820.05 - 1
377 0.07 823.69 - 1
378 0.07 827.33 - 1
379 0.07 830.97 - 1
380 0.07 834.61 - 1
381 0.07 838.25 - 1
382 0.07 841.89 - 1
383 0.07 845.53 - 1
384 0.07 849.17 - 1
385 0.07 852.81 - 1
386 0.07 856.45 - 1
387 0.07 860.09 - 1
388 0.07 863.73 - 1
389 0.07 867.51 - 1
390 0.07 871.01 - 1
391 0.07 874.65 - 1
392 0.07 878.29 - 1
393 0.07 881.93 - 1
394 0.07 885.57 - 1
395 0.07 889.21 - 1
396 0.07 892.85 - 1
397 0.07 896.49 - 1
398 0.07 900.13 - 1
399 0.07 903.77 - 1
400 0.07 907.41 - 1
401 0.07 911.05 - 1
402 0.07 914.69 - 1
403 0.07 918.33 - 1
404 0.07 921.97 - 1
405 0.07 925.75 - 1
406 0.07 929.11 - 1
407 0.07 932.89 - 1
408 0.07 936.53 - 1
409 0.07 940.17 - 1
410 0.07 943.81 - 1
411 0.07 947.45 - 1
412 0.07 951.23 - 1
413 0.07 954.87 - 1
414 0.07 958.51 - 1
415 0.07 962.15 - 1
416 0.07 965.79 - 1
417 0.07 969.43 - 1
418 0.07 973.07 - 1
419 0.07 976.71 - 1
420 0.07 980.35 - 1
421 0.07 983.99 - 1
422 0.07 987.63 - 1
423 0.07 991.27 - 1
424 0.07 994.91 - 1
425 0.07 998.55 - 1
426 0.07 1002.19 - 1
427 0.07 1005.83 - 1
428 0.07 1009.47 - 1
429 0.07 1013.11 - 1
430 0.07 1016.75 - 1
431 0.07 1020.39 - 1
432 0.07 1024.03 - 1
433 0.07 1027.67 - 1
434 0.07 1031.31 - 1
435 0.07 1034.95 - 1
436 0.07 1038.59 - 1
437 0.07 1042.23 - 1
438 0.07 1045.87 - 1
439 0.07 1049.51 - 1
440 0.07 1053.15 - 1
441 0.07 1056.79 - 1
442 0.07 1060.43 - 1
443 0.07 1064.07 - 1
444 0.07 1067.71 - 1
445 0.07 1071.35 - 1
446 0.07 1074.99 - 1
447 0.07 1078.63 - 1
448 0.07 1082.27 - 1
449 0.07 1085.91 - 1
450 0.07 1089.55 - 1
451 0.07 1093.19 - 1
452 0.07 1096.83 - 1
453 0.07 1100.61 - 1
454 0.07 1104.25 - 1
455 0.07 1107.89 - 1
456 0.07 1111.53 - 1
457 0.07 1115.17 - 1
458 0.07 1118.81 - 1
459 0.07 1122.45 - 1
460 0.07 1126.09 - 1
461 0.07 1129.73 - 1
462 0.07 1133.37 - 1
463 0.07 1137.01 - 1
464 0.07 1140.65 - 1
465 0.07 1144.29 - 1
466 0.07 1147.93 - 1
467 0.07 1151.57 - 1
468 0.07 1155.21 - 1
469 0.07 1158.85 - 1
470 0.07 1162.49 - 1
471 0.07 1166.13 - 1
472 0.07 1169.77 - 1
473 0.07 1173.41 - 1
474 0.07 1177.05 - 1
475 0.07 1180.69 - 1
476 0.07 1184.33 - 1
477 0.07 1187.97 - 1
478 0.07 1191.61 - 1
479 0.07 1195.25 - 1
480 0.07 1198.89 - 1
481 0.07 1202.53 - 1
482 0.07 1206.17 - 1
483 0.07 1209.81 - 1
484 0.07 1213.45 - 1
485 0.07 1217.09 - 1
486 0.07 1220.73 - 1
487 0.07 1224.37 - 1
488 0.07 1228.01 - 1
489 0.07 1231.65 - 1
490 0.07 1235.29 - 1
491 0.07 1238.93 - 1
492 0.07 1242.57 - 1
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494 0.07 1249.85 - 1
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15433 447.939 1126.25 N 0
15454 268.764 853.218 N 0
15466 388.214 989.733 N 0
15473 149.313 1057.99 N 0
15495 328.489 580.188 N 0
15521 507.665 784.96 N 0
15530 89.5879 853.218 N 0
15537 388.214 716.703 N 0
15560 328.489 921.475 N 0
15598 149.313 511.931 N 0
15604 388.214 1194.51 N 0
15622 388.214 989.733 N 0
15662 89.5879 921.475 N 0
15675 447.939 921.475 N 0
15700 447.939 1057.99 N 0
15733 328.489 853.218 N 0
15764 149.313 648.446 N 0
15796 149.313 580.188 N 0
15801 507.665 580.188 N 0
15810 268.764 989.733 N 0
15819 388.214 580.188 N 0
15847 268.764 989.733 N 0
15862 447.939 989.733 N 0
15886 89.5879 989.733 N 0
15901 447.939 853.218 N 0
15923 686.84 853.218 N 0
15950 388.214 784.96 N 0
15975 388.214 1126.25 N 0
15987 507.665 1194.51 N 0
16008 507.665 989.733 N 0
16014 268.764 853.218 N 0
16031 627.115 648.446 N 0
16037 29.8626 784.96 N 0
16042 686.84 716.703 N 0
16059 447.939 1126.25 N 0
16067 209.038 989.733 N 0
16083 388.214 1057.99 N 0
16091 89.5879 853.218 N 0
16096 507.665 648.446 N 0
16105 388.214 784.96 N 0
16126 268.764 716.703 N 0
16150 447.939 921.475 N 0
16174 89.5879 853.218 N 0
16181 209.038 580.188 N 0
16194 328.489 511.931 N 0
16204 149.313 1194.51 N 0
16208 149.313 1057.99 N 0
16238 447.939 716.703 N 0
16257 209.038 853.218 N 0
16280 268.764 921.475 N 0
16300 89.5879 1126.25 N 0
16308 328.489 716.703 N 0
16316 507.665 716.703 N 0
16327 388.214 784.96 N 0
16346 447.939 853.218 N 0
16366 627.115 853.218 N 0
16374 507.665 648.446 N 0
16382 447.939 921.475 N 0
16396 209.038 648.446 N 0
16408 268.764 921.475 N 0
16426 388.214 989.733 N 0
16438 447.939 989.733 N 0
16463 149.313 1126.25 N 0
16473 328.489 921.475 N 0
16500 507.665 580.188 N 0
16516 328.489 989.733 N 0
16525 447.939 921.475 N 0
16545 507.665 989.733 N 0
16560 567.39 716.703 N 0
16569 567.39 989.733 N 0
16583 388.214 921.475 N 0
16619 209.038 716.703 N 0
16635 328.489 921.475 N 0
16674 209.038 921.475 N 0
16688 447.939 1057.99 N 0
16711 328.489 853.218 N 0
16720 149.313 648.446 N 0
16729 507.665 989.733 N 0
16754 388.214 921.475 N 0
16787 388.214 648.446 N 0
16809 447.939 921.475 N 0
16829 627.115 784.96 N 0
16835 209.038 716.703 N 0
16847 209.038 1126.25 N 0
16856 328.489 716.703 N 0
16866 328.489 1057.99 N 0
16894 507.665 1057.99 N 0
16920 268.764 648.446 N 0
16927 388.214 1126.25 N 0
16939 507.665 1057.99 N 0
16958 447.939 716.703 N 0
16963 388.214 853.218 N 0
16973 627.115 784.96 N 0
16978 388.214 853.218 N 0
16986 507.665 1262.76 N 0
16996 388.214 716.703 N 0
17014 447.939 1057.99 N 0
17042 686.84 716.703 N 0
17060 447.939 1057.99 N 0
17065 268.764 989.733 N 0
17077 447.939 716.703 N 0
17094 209.038 443.673 N 0
17098 686.84 784.96 N 0
17102 29.8626 784.96 N 0
17112 328.489 648.446 N 0
17123 627.115 853.218 N 0
17129 268.764 716.703 N 0
17134 388.214 648.446 N 0
17147 447.939 1194.51 N 0
17163 149.313 1194.51 N 0
17172 388.214 989.733 N 0
17190 388.214 580.188 N 0
17198 209.038 1057.99 N 0
17254 149.313 853.218 N 0
17274 447.939 511.931 N 0
17293 627.115 921.475 N 0
17310 268.764 784.96 N 0
17324 507.665 1194.51 N 0
17346 209.038 648.446 N 0
17354 686.84 648.446 N 0
17370 29.8626 853.218 N 0
17382 388.214 1194.51 N 0
17391 89.5879 1126.25 N 0
17399 507.665 989.733 N 0
17426 388.214 1057.99 N 0
17434 507.665 580.188 N 0
17440 507.665 1194.51 N 0
17453 209.038 921.475 N 0
17466 328.489 989.733 N 0
17478 686.84 716.703 N 0
17495 209.038 716.703 N 0
17508 328.489 1057.99 N 0
17536 447.939 989.733 N 0
17550 328.489 784.96 N 0
17581 328.489 853.218 N 0
17618 507.665 1126.25 N 0
17640 447.939 784.96 N 0
17657 89.5879 648.446 N 0
17672 268.764 511.931 N 0
17680 686.84 784.96 N 0
17703 328.489 648.446 N 0
17735 388.214 1194.51 N 0
17746 507.665 716.703 N 0
17755 567.39 716.703 N 0
17763 149.313 511.931 N 0
17800 507.665 853.218 N 0
17822 507.665 648.446 N 0
17850 388.214 853.218 N 0
17863 328.489 853.218 N 0
17869 388.214 1126.25 N 0
17883 328.489 580.188 N 0
17916 388.214 1057.99 N 0
17949 149.313 511.931 N 0
17959 328.489 648.446 N 0
17964 507.665 1126.25 N 0
17972 627.115 784.96 N 0
17978 388.214 989.733 N 0
17985 627.115 648.446 N 0
18000 447.939 1057.99 N 0
18036 447.939 784.96 N 0
18079 388.214 921.475 N 0
18106 328.489 511.931 N 0
18128 328.489 580.188 N 0
18136 567.39 784.96 N 0
18144 627.115 921.475 N 0
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18253 447.939 853.218 N 0
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18284 388.214 1057.99 N 0
18293 149.313 580.188 N 0
18303 507.665 989.733 N 0
18322 29.8626 1126.25 N 0
18365 388.214 784.96 N 0
18393 388.214 921.475 N 0
18425 447.939 716.703 N 0
18443 209.038 580.188 N 0
18464 507.665 1262.76 N 0
18482 507.665 784.96 N 0
18492 209.038 784.96 N 0
18511 447.939 1057.99 N 0
18529 567.39 784.96 N 0
18534 328.489 1126.25 N 0
18544 567.39 1126.25 N 0
18558 567.39 853.218 N 0
18565 388.214 580.188 N 0
18584 29.8626 921.475 N 0
18590 388.214 989.733 N 0
18636 507.665 1126.25 N 0
18651 507.665 580.188 N 0
18662 328.489 989.733 N 0
18687 149.313 1126.25 N 0
18696 209.038 648.446 N 0
18711 507.665 921.475 N 0
18726 149.313 921.475 N 0
18733 89.5879 1194.51 N 0
18745 806.291 580.188 N 0
18788 388.214 853.218 N 0
18833 686.84 716.703 N 0
18841 29.8626 648.446 N 0
18856 328.489 716.703 N 0
18859 627.115 921.475 N 0
18867 29.8626 989.733 N 0
18875 447.939 1126.25 N 0
18899 627.115 921.475 N 0
18906 89.5879 1194.51 N 0
18910 447.939 1262.76 N 0
18924 447.939 921.475 N 0
18948 388.214 1057.99 N 0
18958 388.214 648.446 N 0
18991 149.313 580.188 N 0
19001 328.489 511.931 N 0
19024 388.214 1057.99 N 0
19033 507.665 1126.25 N 0
19053 388.214 443.673 N 0
19058 89.5879 1057.99 N 0
19075 447.939 511.931 N 0
19104 328.489 443.673 N 0
19147 209.038 784.96 N 0
19160 567.39 1057.99 N 0
19171 447.939 1262.76 N 0
19187 388.214 1126.25 N 0
19192 209.038 853.218 N 0
19212 567.39 989.733 N 0
19219 627.115 716.703 N 0
19223 447.939 511.931 N 0
19247 388.214 716.703 N 0
19257 388.214 1262.76 N 0
19283 328.489 989.733 N 0
19296 268.764 716.703 N 0
19330 447.939 784.96 N 0
19350 209.038 648.446 N 0
19360 447.939 1057.99 N 0
19389 388.214 989.733 N 0
19428 328.489 989.733 N 0
19449 89.5879 1194.51 N 0
19454 388.214 1057.99 N 0
19469 388.214 989.733 N 0
19474 1045.19 1399.28 N 0
19492 89.5879 716.703 N 0
19502 1403.54 34.1287 N 0
19505 149.313 1126.25 N 0
19508 507.665 1399.28 N 0
19511 806.291 170.644 N 0
19522 985.467 784.96 N 0
19525 1164.64 784.96 N 0
19529 627.115 170.644 N 0
19532 866.016 1262.76 N 0
19542 627.115 34.1287 N 0
19546 985.467 1057.99 N 0
19549 1045.19 170.644 N 0
19554 866.016 238.901 N 0
19557 746.566 1262.76 N 0
19560 806.291 34.1287 N 0
19563 89.5879 443.673 N 0
19585 89.5879 511.931 N 0
19601 89.5879 580.188 N 0
19622 29.8626 853.218 N 0
19628 627.115 1194.51 N 0
19633 686.84 1126.25 N 0
19638 268.764 1194.51 N 0
19656 149.313 1331.02 N 0
19675 209.038 1194.51 N 0
19685 746.566 1194.51 N 0
19700 209.038 1126.25 N 0
19703 328.489 511.931 N 0
19707 567.39 1331.02 N 0
19710 567.39 853.218 N 0
19713 567.39 1126.25 N 0
19716 686.84 511.931 N 0
19720 447.939 921.475 N 0
19723 447.939 1262.76 N 0
19731 149.313 1194.51 N 0
19734 567.39 511.931 N 0
19738 686.84 1057.99 N 0
19741 686.84 989.733 N 0
19750 447.939 784.96 N 0
19753 686.84 34.1287 N 0
19756 925.741 580.188 N 0
19759 149.313 1057.99 N 0
19775 328.489 511.931 N 0
19778 627.115 853.218 N 0
19784 686.84 580.188 N 0
19792 1045.19 1126.25 N 0
19795 507.665 853.218 N 0
19799 29.8626 989.733 N 0
19802 328.489 648.446 N 0
19806 567.39 1126.25 N 0
19809 507.665 443.673 N 0
19812 149.313 921.475 N 0
19815 447.939 921.475 N 0
19818 686.84 580.188 N 0
19821 268.764 511.931 N 0
19836 1045.19 784.96 N 0
19839 686.84 443.673 N 0
19842 447.939 784.96 N 0
19845 806.291 853.218 N 0
19848 447.939 648.446 N 0
19853 686.84 443.673 N 0
19856 985.467 648.446 N 0
19859 388.214 716.703 N 0
19862 1104.92 648.446 N 0
19874 447.939 784.96 N 0
19877 925.741 784.96 N 0
19882 268.764 1126.25 N 0
Flows/NanGate45/ariane133/netlist/netlist.pb.txt 0 → 100644
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