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app: stacked_cores: 52-xx: sort the runs naturally (natsort)

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colin
2022-11-03 01:09:12 -07:00
parent a754b6e01d
commit 70e14b4578
5 changed files with 91 additions and 80 deletions
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4
crates/applications/stacked_cores/scripts/extract_meas.py
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@@ -8,6 +8,8 @@ import os
import sys
import re
from natsort import natsorted
from stacked_cores import load_csv, labeled_rows, last_row_before_t, extract_m
from stacked_cores_39xx import extract_polarity
@@ -58,7 +60,7 @@ class ParameterizedMeas:
def __repr__(self) -> str:
meas_entries = "\n".join(
f" {format_float_tuple(k)}: {indented(format_list(v))}," for (k, v) in sorted(self.meas.items())
f" {format_float_tuple(k)}: {indented(format_list(v))}," for (k, v) in natsorted(self.meas.items())
)
return f"ParameterizedMeas({{\n{meas_entries}\n}})"

3
crates/applications/stacked_cores/scripts/plot_52xx.py
View File

@@ -2,6 +2,7 @@
from math import sqrt
from natsort import natsorted
import plotly.express as px
from pandas import DataFrame
@@ -87,6 +88,6 @@ sweep_a1 = lambda a0, points=101: [(a0, unit_to_m(x/(points-1))) for x in range(
unit_to_m = lambda u: -17000 + 34000 * u
for name, meas in sorted(or_gates.items()):
for name, meas in natsorted(or_gates.items()):
trace = eval_series(meas, sweep_a1(-17000))
plot(f"{name}", "a1", trace)

4
crates/applications/stacked_cores/scripts/stacked_cores_52xx.py
View File

@@ -2,6 +2,8 @@
import os
from natsort import natsorted
from extract_meas import extract_parameterized_meas, indented
from stacked_cores_52xx_db import DB
@@ -32,7 +34,7 @@ def dump(path: str, db: dict):
with open(path, "w") as f:
f.write("from extract_meas import MeasRow, ParameterizedMeas\n\n")
f.write("DB = {")
for k, v in sorted(db.items()):
for k, v in natsorted(db.items()):
f.write(indented(f"\n{k!r}: {v},"))
f.write("\n}")

159
crates/applications/stacked_cores/scripts/stacked_cores_52xx_db.py
View File

@@ -1,6 +1,83 @@
from extract_meas import MeasRow, ParameterizedMeas
DB = {
'52-or--0.0004rad-500ctl_cond-20000coupling_cond-2000ps-100ps-3ctl-3coupling-3_1_winding-49999998976e0-drive-': ParameterizedMeas({
(-1.000, -1.000,): [
MeasRow(2e-09, [-17062, -17312, -17911, -17059]),
MeasRow(4e-09, [-29152, -29125, -9394, -11763]),
MeasRow(8e-09, [-29139, -29027, -28928, 8454]),
],
(-1.000, -0.600,): [
MeasRow(2e-09, [-17049, -17250, -17822, -17047]),
MeasRow(4e-09, [-29152, -29124, -9304, -11748]),
MeasRow(8e-09, [-29139, -29027, -28927, 8510]),
],
(-1.000, -0.500,): [
MeasRow(2e-09, [-17046, -17233, -17799, -17044]),
MeasRow(4e-09, [-29152, -29124, -9280, -11740]),
MeasRow(8e-09, [-29139, -29027, -28928, 8526]),
],
(-1.000, -0.400,): [
MeasRow(2e-09, [-17041, -17203, -17776, -17038]),
MeasRow(4e-09, [-29152, -29124, -9251, -11762]),
MeasRow(8e-09, [-29138, -29026, -28927, 8543]),
],
(-1.000, -0.300,): [
MeasRow(2e-09, [-17025, -16794, -17680, -17023]),
MeasRow(4e-09, [-29152, -29124, -9052, -11854]),
MeasRow(8e-09, [-29138, -29028, -28927, 8625]),
],
(-1.000, -0.250,): [
MeasRow(2e-09, [-17017, -13349, -17566, -17018]),
MeasRow(4e-09, [-29152, -29101, -7798, -12233]),
MeasRow(8e-09, [-29136, -29018, -28917, 9222]),
],
(-1.000, -0.200,): [
MeasRow(2e-09, [-17016, -8254, -17579, -17019]),
MeasRow(4e-09, [-29153, -29079, -6145, -12731]),
MeasRow(8e-09, [-29133, -29013, -28906, 10007]),
],
(-1.000, -0.150,): [
MeasRow(2e-09, [-17018, -2733, -17595, -17020]),
MeasRow(4e-09, [-29155, -29054, -4420, -13191]),
MeasRow(8e-09, [-29130, -29004, -28897, 10827]),
],
(-1.000, -0.100,): [
MeasRow(2e-09, [-17020, 2931, -17613, -17022]),
MeasRow(4e-09, [-29158, -29032, -2679, -13601]),
MeasRow(8e-09, [-29127, -28997, -28888, 11633]),
],
(-1.000, -0.050,): [
MeasRow(2e-09, [-17023, 8654, -17630, -17023]),
MeasRow(4e-09, [-29160, -29008, -950, -13991]),
MeasRow(8e-09, [-29124, -28988, -28879, 12402]),
],
(-1.000, 0.000,): [
MeasRow(2e-09, [-17023, 13648, -17638, -17023]),
MeasRow(4e-09, [-29163, -28990, 569, -14326]),
MeasRow(8e-09, [-29121, -28986, -28871, 13032]),
],
(-1.000, 1.000,): [
MeasRow(2e-09, [-16965, 16158, -17435, -16962]),
MeasRow(4e-09, [-29165, -28975, 1495, -14497]),
MeasRow(8e-09, [-29118, -28980, -28866, 13417]),
],
( 0.000, 0.000,): [
MeasRow(2e-09, [ 13197, 14274, -17489, -16997]),
MeasRow(4e-09, [-29132, -28975, 5489, -14455]),
MeasRow(8e-09, [-29110, -28967, -28847, 14870]),
],
( 1.000, -1.000,): [
MeasRow(2e-09, [ 16364, -17232, -17722, -17014]),
MeasRow(4e-09, [-29122, -29129, -3513, -13042]),
MeasRow(8e-09, [-29126, -29003, -28892, 11345]),
],
( 1.000, 1.000,): [
MeasRow(2e-09, [ 16590, 16410, -17188, -16904]),
MeasRow(4e-09, [-29126, -28962, 6689, -14511]),
MeasRow(8e-09, [-29105, -28961, -28842, 15194]),
],
}),
'52-or--0.0004rad-1000ctl_cond-20000coupling_cond-2000ps-100ps-3ctl-3coupling-3_1_winding-2e10-drive-': ParameterizedMeas({
(-1.000, -1.000,): [
MeasRow(2e-09, [-16877, -16904, -16285, -16878]),
@@ -32,6 +109,11 @@ DB = {
MeasRow(4e-09, [-28738, -28130, -3343, -16636]),
MeasRow(8e-09, [-28284, -28201, -28068, 2428]),
],
(-1.000, -0.050,): [
MeasRow(2e-09, [-16876, 3282, -17068, -16926]),
MeasRow(4e-09, [-28760, -28110, -2418, -16672]),
MeasRow(8e-09, [-28282, -28200, -28066, 2883]),
],
(-1.000, 0.000,): [
MeasRow(2e-09, [-16874, 6656, -17107, -16929]),
MeasRow(4e-09, [-28777, -28098, -1512, -16687]),
@@ -263,81 +345,4 @@ DB = {
MeasRow(8e-09, [-30540, -30556, -30463, 11596]),
],
}),
'52-or--0.0004rad-500ctl_cond-20000coupling_cond-2000ps-100ps-3ctl-3coupling-3_1_winding-49999998976e0-drive-': ParameterizedMeas({
(-1.000, -1.000,): [
MeasRow(2e-09, [-17062, -17312, -17911, -17059]),
MeasRow(4e-09, [-29152, -29125, -9394, -11763]),
MeasRow(8e-09, [-29139, -29027, -28928, 8454]),
],
(-1.000, -0.600,): [
MeasRow(2e-09, [-17049, -17250, -17822, -17047]),
MeasRow(4e-09, [-29152, -29124, -9304, -11748]),
MeasRow(8e-09, [-29139, -29027, -28927, 8510]),
],
(-1.000, -0.500,): [
MeasRow(2e-09, [-17046, -17233, -17799, -17044]),
MeasRow(4e-09, [-29152, -29124, -9280, -11740]),
MeasRow(8e-09, [-29139, -29027, -28928, 8526]),
],
(-1.000, -0.400,): [
MeasRow(2e-09, [-17041, -17203, -17776, -17038]),
MeasRow(4e-09, [-29152, -29124, -9251, -11762]),
MeasRow(8e-09, [-29138, -29026, -28927, 8543]),
],
(-1.000, -0.300,): [
MeasRow(2e-09, [-17025, -16794, -17680, -17023]),
MeasRow(4e-09, [-29152, -29124, -9052, -11854]),
MeasRow(8e-09, [-29138, -29028, -28927, 8625]),
],
(-1.000, -0.250,): [
MeasRow(2e-09, [-17017, -13349, -17566, -17018]),
MeasRow(4e-09, [-29152, -29101, -7798, -12233]),
MeasRow(8e-09, [-29136, -29018, -28917, 9222]),
],
(-1.000, -0.200,): [
MeasRow(2e-09, [-17016, -8254, -17579, -17019]),
MeasRow(4e-09, [-29153, -29079, -6145, -12731]),
MeasRow(8e-09, [-29133, -29013, -28906, 10007]),
],
(-1.000, -0.150,): [
MeasRow(2e-09, [-17018, -2733, -17595, -17020]),
MeasRow(4e-09, [-29155, -29054, -4420, -13191]),
MeasRow(8e-09, [-29130, -29004, -28897, 10827]),
],
(-1.000, -0.100,): [
MeasRow(2e-09, [-17020, 2931, -17613, -17022]),
MeasRow(4e-09, [-29158, -29032, -2679, -13601]),
MeasRow(8e-09, [-29127, -28997, -28888, 11633]),
],
(-1.000, -0.050,): [
MeasRow(2e-09, [-17023, 8654, -17630, -17023]),
MeasRow(4e-09, [-29160, -29008, -950, -13991]),
MeasRow(8e-09, [-29124, -28988, -28879, 12402]),
],
(-1.000, 0.000,): [
MeasRow(2e-09, [-17023, 13648, -17638, -17023]),
MeasRow(4e-09, [-29163, -28990, 569, -14326]),
MeasRow(8e-09, [-29121, -28986, -28871, 13032]),
],
(-1.000, 1.000,): [
MeasRow(2e-09, [-16965, 16158, -17435, -16962]),
MeasRow(4e-09, [-29165, -28975, 1495, -14497]),
MeasRow(8e-09, [-29118, -28980, -28866, 13417]),
],
( 0.000, 0.000,): [
MeasRow(2e-09, [ 13197, 14274, -17489, -16997]),
MeasRow(4e-09, [-29132, -28975, 5489, -14455]),
MeasRow(8e-09, [-29110, -28967, -28847, 14870]),
],
( 1.000, -1.000,): [
MeasRow(2e-09, [ 16364, -17232, -17722, -17014]),
MeasRow(4e-09, [-29122, -29129, -3513, -13042]),
MeasRow(8e-09, [-29126, -29003, -28892, 11345]),
],
( 1.000, 1.000,): [
MeasRow(2e-09, [ 16590, 16410, -17188, -16904]),
MeasRow(4e-09, [-29126, -28962, 6689, -14511]),
MeasRow(8e-09, [-29105, -28961, -28842, 15194]),
],
}),
}

1
flake.nix
View File

@@ -15,6 +15,7 @@
};
rust-toolchain = pkgs.rust-bin.fromRustupToolchainFile ./rust-toolchain.toml;
python-packages = pypkg: with pypkg; [
natsort
pandas
plotly
];