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-rw-r--r--lib/loader.py30
1 files changed, 15 insertions, 15 deletions
diff --git a/lib/loader.py b/lib/loader.py
index b9a2930..1d268bc 100644
--- a/lib/loader.py
+++ b/lib/loader.py
@@ -650,7 +650,7 @@ class RawData:
online_trace_part["offline_aggregates"]["rel_energy_prev"] = []
online_trace_part["offline_aggregates"]["rel_energy_next"] = []
online_trace_part["offline_aggregates"]["timeout"] = []
- elif "uW" in offline_trace_part:
+ elif "plot" in offline_trace_part:
online_trace_part["offline_support"] = ["power_traces"]
online_trace_part["offline_aggregates"]["power_traces"] = list()
@@ -684,9 +684,9 @@ class RawData:
offline_trace_part["timeout"]
)
- if online_trace_part["isa"] == "state" and "uW" in offline_trace_part:
+ if online_trace_part["isa"] == "state" and "plot" in offline_trace_part:
online_trace_part["offline_aggregates"]["power_traces"].append(
- offline_trace_part["uW"]
+ offline_trace_part["plot"][1]
)
def _merge_online_and_etlog(self, measurement):
@@ -1872,7 +1872,7 @@ class MIMOSA:
:returns: numpy array of mean currents (µA per 10µs)
"""
- ua_max = 1.836 / self.shunt * 1000000
+ ua_max = 1.836 / self.shunt * 1_000_000
ua_step = ua_max / 65535
return charge * ua_step
@@ -1927,7 +1927,7 @@ class MIMOSA:
:param charges: numpy array of charges (pJ per 10µs)
:returns: numpy array of currents (mean µA per 10µs)"""
- ua_max = 1.836 / self.shunt * 1000000
+ ua_max = 1.836 / self.shunt * 1_000_000
ua_step = ua_max / 65535
return charges.astype(np.double) * ua_step
@@ -1944,11 +1944,11 @@ class MIMOSA:
"""
trigidx = []
- if len(triggers) < 1000000:
+ if len(triggers) < 1_000_000:
self.errors.append("MIMOSA log is too short")
return trigidx
- prevtrig = triggers[999999]
+ prevtrig = triggers[999_999]
# if the first trigger is high (i.e., trigger/buzzer pin is active before the benchmark starts),
# something went wrong and are unable to determine when the first
@@ -1968,7 +1968,7 @@ class MIMOSA:
# the device is reset for MIMOSA calibration in the first 10s and may
# send bogus interrupts -> bogus triggers
- for i in range(1000000, triggers.shape[0]):
+ for i in range(1_000_000, triggers.shape[0]):
trig = triggers[i]
if trig != prevtrig:
# Due to MIMOSA's integrate-read-reset cycle, the charge/current
@@ -1991,27 +1991,27 @@ class MIMOSA:
"""
r1idx = 0
r2idx = 0
- ua_r1 = self.voltage / self.r1 * 1000000
+ ua_r1 = self.voltage / self.r1 * 1_000_000
# first second may be bogus
- for i in range(100000, len(currents)):
+ for i in range(100_000, len(currents)):
if r1idx == 0 and currents[i] > ua_r1 * 0.6:
r1idx = i
elif (
r1idx != 0
and r2idx == 0
- and i > (r1idx + 180000)
+ and i > (r1idx + 180_000)
and currents[i] < ua_r1 * 0.4
):
r2idx = i
# 2s disconnected, 2s r1, 2s r2 with r1 < r2 -> ua_r1 > ua_r2
# allow 5ms buffer in both directions to account for bouncing relais contacts
return (
- r1idx - 180500,
+ r1idx - 180_500,
r1idx - 500,
r1idx + 500,
r2idx - 500,
r2idx + 500,
- r2idx + 180500,
+ r2idx + 180_500,
)
def calibration_function(self, charges, cal_edges):
@@ -2050,8 +2050,8 @@ class MIMOSA:
cal_r1_mean = np.mean(chg_r1)
cal_r2_mean = np.mean(chg_r2)
- ua_r1 = self.voltage / self.r1 * 1000000
- ua_r2 = self.voltage / self.r2 * 1000000
+ ua_r1 = self.voltage / self.r1 * 1_000_000
+ ua_r2 = self.voltage / self.r2 * 1_000_000
if cal_r2_mean > cal_0_mean:
b_lower = (ua_r2 - 0) / (cal_r2_mean - cal_0_mean)