def main():
parser = argparse.ArgumentParser()
parser.add_argument("pad_L_csv_file", help="Filename for L structure measurement to be used for pad extraction")
parser.add_argument("pad_2L_csv_file", help="Filename for 2L structure measurement to be used for pad extraction")
parser.add_argument("--struct_csv_name", default="*.csv", help="Filename for structure to convert. If this argument is presented, ONLY file names conforming to this naming scheme will be processed. Accepts globs (i.e. input *_foo.s2p to process all files ending with _foo.s2p). Default is *.s2p (all s2p files)")
parser.add_argument("--skip_deembed", default=False, action='store_true', help="Use this flag to skip pad deembedding. You will still need to input the pad L/2L filenames, but they will not be used")
parser.add_argument("--z0_real", type=float, default=50, help="Real portion of probe impedance. Default is 50 Ohms")
parser.add_argument("--z0_imag", type=float, default=0, help="Imaginary portion of probe impedance. Default is 0 Ohms (Default impedance is 50 + 0j)")
parser.add_argument("--skip_plots", action="store_true", default=False, help="Skip plotting for faster data extraction")
parser.add_argument("--method", default="distributed", choices=["distributed", "lumped"], help="Type of RLGC extraction to perform. distributed (default) -- treats structure as transmission line and extracts from S in DB/DEG form. lumped -- treats structure as lumped element.")
parser.add_argument("--tag", default="", help="Output file tag")
args = parser.parse_args()
z0_probe = complex(args.z0_real, args.z0_imag)
color_keys = { 2000:'k', 1000:'b', 500:'c', 100:'g', 50:'r' }
curdir = os.path.split(os.getcwd())
outdir = "extract_" + curdir[1]
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(args.pad_L_csv_file, args.pad_2L_csv_file, z0_probe, args.method, skip_plots=True, struct_csv_name="*_3um_*.csv", skip_deembed=True, output_tag="_3um_no_deembed", output_dir=outdir + "_3um_no_deembed")
create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_3um_no_deembed.pdf", output_dir = outdir + "_3um_no_deembed")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(args.pad_L_csv_file, args.pad_2L_csv_file, z0_probe, args.method, skip_plots=True, struct_csv_name="*_5um_*.csv", skip_deembed=True, output_tag="_5um_no_deembed", output_dir=outdir + "_5um_no_deembed")
create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_5um_no_deembed.pdf", output_dir = outdir + "_5um_no_deembed")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(args.pad_L_csv_file, args.pad_2L_csv_file, z0_probe, args.method, skip_plots=True, struct_csv_name="*_3um_*.csv", skip_deembed=False, output_tag="_3um", output_dir=outdir + "_3um")
create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_3um.pdf", output_dir = outdir + "_3um")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(args.pad_L_csv_file, args.pad_2L_csv_file, z0_probe, args.method, skip_plots=True, struct_csv_name="*_5um_*.csv", skip_deembed=False, output_tag="_5um", output_dir=outdir + "_5um")
create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_5um.pdf", output_dir = outdir + "_5um")
pad_l_s2p_file= base_dir + pad_l_s2p_file
pad_2l_s2p_file= base_dir + pad_2l_s2p_file
z0= 50
method_extract = "distributed"
freq_mat = []
R_mat = []
L_mat = []
G_mat = []
C_mat = []
color_keys = { 2000:'k', 1000:'b', 500:'c', 100:'g', 50:'r' }
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(pad_l_s2p_file, pad_2l_s2p_file, z0_probe=z0, method=method_extract, skip_plots=True, struct_csv_name=base_dir + "*_3um_*.csv", output_tag="_3um")
create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_3um.pdf")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(pad_l_s2p_file, pad_2l_s2p_file, z0_probe=z0, method=method_extract, skip_plots=True, struct_csv_name=base_dir + "*_3um_*.csv", skip_deembed=True, output_tag="_3um_no_deembed")
create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_3um_no_deembed.pdf")
#(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(pad_l_s2p_file, pad_2l_s2p_file, z0_probe=z0, method=method_extract, skip_plots=True, struct_s2p_name=base_dir + "*_5um_*.s2p", output_tag="_5um")
#create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_5um.pdf")
#
#(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(pad_l_s2p_file, pad_2l_s2p_file, z0_probe=z0, method=method_extract, skip_plots=True, struct_s2p_name=base_dir + "*.s2p", output_tag="_all")
#create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_all.pdf")
#
#(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(pad_l_s2p_file, pad_2l_s2p_file, z0_probe=z0, method=method_extract, skip_plots=True, struct_s2p_name=base_dir + "*_3um_*.s2p", skip_deembed=True, output_tag="_3um_no_deembed")
#create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_3um_no_deembed.pdf")
#
#(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec, width_vec) = ex.extract_rlgc(pad_l_s2p_file, pad_2l_s2p_file, z0_probe=z0, method=method_extract, skip_plots=True, struct_s2p_name=base_dir + "*_5um_*.s2p", skip_deembed=True, output_tag="_5um_no_deembed")
z0 = 50
method_extract = "distributed"
freq_mat = []
R_mat = []
L_mat = []
G_mat = []
C_mat = []
color_keys = {2000: 'k', 1000: 'b', 500: 'c', 100: 'g', 50: 'r'}
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec,
width_vec) = ex.extract_rlgc(pad_l_s2p_file,
pad_2l_s2p_file,
z0_probe=z0,
method=method_extract,
skip_plots=True,
struct_csv_name=base_dir + "*_3um_*.csv",
output_tag="_3um")
create_plot(freq_mat, R_mat, length_vec, color_keys, "R_plot_3um.pdf")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec,
width_vec) = ex.extract_rlgc(pad_l_s2p_file,
pad_2l_s2p_file,
z0_probe=z0,
method=method_extract,
skip_plots=True,
struct_csv_name=base_dir + "*_3um_*.csv",
skip_deembed=True,
output_tag="_3um_no_deembed")
create_plot(freq_mat, R_mat, length_vec, color_keys,
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"pad_L_csv_file",
help=
"Filename for L structure measurement to be used for pad extraction")
parser.add_argument(
"pad_2L_csv_file",
help=
"Filename for 2L structure measurement to be used for pad extraction")
parser.add_argument(
"--struct_csv_name",
default="*.csv",
help=
"Filename for structure to convert. If this argument is presented, ONLY file names conforming to this naming scheme will be processed. Accepts globs (i.e. input *_foo.s2p to process all files ending with _foo.s2p). Default is *.s2p (all s2p files)"
)
parser.add_argument(
"--skip_deembed",
default=False,
action='store_true',
help=
"Use this flag to skip pad deembedding. You will still need to input the pad L/2L filenames, but they will not be used"
)
parser.add_argument(
"--z0_real",
type=float,
default=50,
help="Real portion of probe impedance. Default is 50 Ohms")
parser.add_argument(
"--z0_imag",
type=float,
default=0,
help=
"Imaginary portion of probe impedance. Default is 0 Ohms (Default impedance is 50 + 0j)"
)
parser.add_argument("--skip_plots",
action="store_true",
default=False,
help="Skip plotting for faster data extraction")
parser.add_argument(
"--method",
default="distributed",
choices=["distributed", "lumped"],
help=
"Type of RLGC extraction to perform. distributed (default) -- treats structure as transmission line and extracts from S in DB/DEG form. lumped -- treats structure as lumped element."
)
parser.add_argument("--tag", default="", help="Output file tag")
args = parser.parse_args()
z0_probe = complex(args.z0_real, args.z0_imag)
color_keys = {2000: 'k', 1000: 'b', 500: 'c', 100: 'g', 50: 'r'}
curdir = os.path.split(os.getcwd())
outdir = "extract_" + curdir[1]
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec,
width_vec) = ex.extract_rlgc(args.pad_L_csv_file,
args.pad_2L_csv_file,
z0_probe,
args.method,
skip_plots=True,
struct_csv_name="*_3um_*.csv",
skip_deembed=True,
output_tag="_3um_no_deembed",
output_dir=outdir + "_3um_no_deembed")
create_plot(freq_mat,
R_mat,
length_vec,
color_keys,
"R_plot_3um_no_deembed.pdf",
output_dir=outdir + "_3um_no_deembed")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec,
width_vec) = ex.extract_rlgc(args.pad_L_csv_file,
args.pad_2L_csv_file,
z0_probe,
args.method,
skip_plots=True,
struct_csv_name="*_5um_*.csv",
skip_deembed=True,
output_tag="_5um_no_deembed",
output_dir=outdir + "_5um_no_deembed")
create_plot(freq_mat,
R_mat,
length_vec,
color_keys,
"R_plot_5um_no_deembed.pdf",
output_dir=outdir + "_5um_no_deembed")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec,
width_vec) = ex.extract_rlgc(args.pad_L_csv_file,
args.pad_2L_csv_file,
z0_probe,
args.method,
skip_plots=True,
struct_csv_name="*_3um_*.csv",
skip_deembed=False,
output_tag="_3um",
output_dir=outdir + "_3um")
create_plot(freq_mat,
R_mat,
length_vec,
color_keys,
"R_plot_3um.pdf",
output_dir=outdir + "_3um")
(freq_mat, R_mat, L_mat, G_mat, C_mat, name_vec, length_vec,
width_vec) = ex.extract_rlgc(args.pad_L_csv_file,
args.pad_2L_csv_file,
z0_probe,
args.method,
skip_plots=True,
struct_csv_name="*_5um_*.csv",
skip_deembed=False,
output_tag="_5um",
output_dir=outdir + "_5um")
create_plot(freq_mat,
R_mat,
length_vec,
color_keys,
"R_plot_5um.pdf",
output_dir=outdir + "_5um")
