# Prerequsites

```python
# log the time of the experiment
from datetime import datetime
import time

exp_time = datetime.now()
exp_time_str = exp_time.strftime("_%H_%M_%S")
date_str = exp_time.strftime("%m_%d_%y")
```

```python
# Path management for MacOS and Windows
from pathlib import Path
import os, sys

scriptPath = Path(sys.path[0])
parentPath = Path(sys.path[0]).parent
#libPath = Path("/home/tw329/GitHub/ONN_MNIST/")
libPath = Path("C:\\Users\\Logan\\Documents\\GitHub\\ONN_MNIST")
sys.path.append(libPath.as_posix())
sys.path.append("C:\\Users\\Logan\\Documents\\GitHub\\mcmahon_lab_devices")

# Set the working directory (to save the files)
resultPath = scriptPath

slmWeightPath = resultPath / "slm_weights"
if not os.path.exists(slmWeightPath.as_posix()):
    os.makedirs(slmWeightPath.as_posix())

phoneImagePath = resultPath / "phone_images"
if not os.path.exists(phoneImagePath.as_posix()):
    os.makedirs(phoneImagePath.as_posix())

saveDataPath = resultPath / "saved_data"
if not os.path.exists(saveDataPath.as_posix()):
    os.makedirs(saveDataPath.as_posix())

print(resultPath)
```

    D:\McMahon lab Dropbox\peter mcmahon\tw329\Experiments\12_01_20_4bit_randy_aug_MLP_100_100_MPPC

```python
from __future__ import print_function
import os, sys
import argparse
from IPython.core.debugger import set_trace
import matplotlib.pyplot as plt
from PIL import Image

import numpy as np
import pandas

import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
```

```python
%matplotlib notebook
```

# Instrument Controls

```python
# Configure the SLM
from src.slmpy import SLMdisplay   # Popoff's simple package for controlling SLM

slm = SLMdisplay(isImageLock = True)

LUT_used="AmpLUT_basedon_100120slmbackcali_140509_start5.lut"

slmParamFile = resultPath / ''.join(["slm_info", exp_time_str, ".txt"])
with open(slmParamFile,'w') as slmparams:
    slmparams.write('LUT\t\t\t{}\n'.format(LUT_used))
slmparams.close()

```

    C:/Users/Logan/Documents/GitHub/ONN_MNIST\src\slmpy.py:39: wxPyDeprecationWarning: Call to deprecated item EmptyImage. Use :class:`Image` instead.
      self.img = wx.EmptyImage(2,2)

```python
import pyvisa
from devices import Agilent54845A as AgilentOscope

rm = pyvisa.ResourceManager("C:\\WINDOWS\\System32\\visa64.dll")
gpib_id = rm.list_resources()[-1]
oscope = AgilentOscope(rm.open_resource(gpib_id))
oscope.set_waveform_source(1)

def oscope_info(oscope):
    measure_state = {}
    measure_state["ID"] = oscope.id()
    measure_state["x_range"] = oscope.get_xrange()
    measure_state["x_unit"] = oscope.get_xunits()
    measure_state["y_range"] = oscope.get_yrange()
    measure_state["y_unit"] = oscope.get_yunits()
    measure_state["y_offset"] = oscope.get_offset()
    measure_state["y_bounds"] = [oscope.get_bottom_bound(), oscope.get_top_bound()]
    return measure_state
```

```python
# Configure the phone

from Android_Display_Control.Remote_Display.image_stream import AndroidOpenAccessoryBridge as AOAB

PIXEL_VENDOR_ID = 0x18d1
PIXEL_UNCONFIG_ID =  0x4ee7
PIXEL_CONFIG_ID = 0x2d01

# Create an AOAB object for managing data send/receive via USB
aoab = AOAB(PIXEL_VENDOR_ID, PIXEL_UNCONFIG_ID,
  PIXEL_CONFIG_ID,
  manufacturer='ImageStreamManufacturer',
  model='ImageStream1',
  description='Stream Images to Android',
  version=1,
  uri=('https://github.com/chris-blay/android-open-accessory-bridge'),
  serial='AoabSerial')
```

    Exception ignored in: <function _AutoFinalizedObjectBase.__del__ at 0x0000018CD55C5C80>
    Traceback (most recent call last):
      File "C:\Users\Logan\Anaconda3\lib\site-packages\usb\_objfinalizer.py", line 84, in __del__
        self.finalize()
      File "C:\Users\Logan\Anaconda3\lib\site-packages\usb\_objfinalizer.py", line 144, in finalize
        self._finalizer()
      File "C:\Users\Logan\Anaconda3\lib\weakref.py", line 552, in __call__
        return info.func(*info.args, **(info.kwargs or {}))
      File "C:\Users\Logan\Anaconda3\lib\site-packages\usb\_objfinalizer.py", line 104, in _do_finalize_object_ref
        obj._do_finalize_object()
      File "C:\Users\Logan\Anaconda3\lib\site-packages\usb\_objfinalizer.py", line 71, in _do_finalize_object
        self._finalize_object()
      File "C:\Users\Logan\Anaconda3\lib\site-packages\usb\backend\libusb1.py", line 604, in _finalize_object
        _lib.libusb_unref_device(self.devid)
    OSError: exception: access violation writing 0x0000000000000024

```python
def PIL_to_bytestream(img_px):
    array_px = np.array(img_px)
    byte_array_px = bytearray()

    for i in range(array_px.shape[0]):
        for j in range(array_px.shape[1]):
            byte_array_px.append(array_px[i, j, 0])
            byte_array_px.append(array_px[i, j, 1])
            byte_array_px.append(array_px[i, j, 2])

    assert(len(byte_array_px) == 1920*1080*3)
    return byte_array_px
```

```python
# Load the phone pixel LUT
lut_p = torch.zeros(1000, dtype=torch.uint8)
with open((resultPath/'PhoneLUT_100120_161444c30et20ms_1000.lut').as_posix(),'r') as lutfile:
        for i in range(len(lut_p)):
            aline = lutfile.readline().split()
            lut_p[i] = int(aline[1])
lutfile.close()
```

# Helper Functions

```python
""" Helper functions for generating phone and SLM patterns. """

from math import sqrt

def Wrap_vec_to_square (idx_vec, null_element=torch.tensor([-1])):

    if isinstance(null_element, int):
        null_element = torch.tensor([null_element])

    a = int(sqrt(len(idx_vec)))
    if len(idx_vec) < a*(a+1):
        px_col_counts = a
        last_row_supplements = a - 1 - (idx_vec.numel()-1)%a
    if len(idx_vec) >= a*(a+1):
        px_col_counts = a+1
        last_row_supplements = a - (idx_vec.numel()-1)%(a+1)

    idx_vec = torch.cat((idx_vec, torch.repeat_interleave(null_element, last_row_supplements)))
    idx_vec = idx_vec.view(-1, px_col_counts)

    return idx_vec

# Image binarize functions
def binarize_img_by_percentile(img, rate):
    img_b = (img<=np.percentile(img.numpy(), rate))
    res_ones = int(img_b.sum() - rate/100.0 * img_b.numel())
    vec_b = img_b.flatten()
    vec_b[vec_b.nonzero()[:res_ones]] = 0
    return vec_b.view(img_b.shape)

def add_surr(img,expan_r):
    img_shape = np.array(img.shape)
    expan_img = np.zeros(img_shape*expan_r)
    expan_img[expan_r//2::expan_r,expan_r//2::expan_r] = img
    return expan_img

def expand_pixels(img, expan_r):
    img_temp = torch.repeat_interleave(img, expan_r, dim=0)
    return torch.repeat_interleave(img_temp, expan_r, dim=1)

def Add_frame(pic, frame_px_value):

    frame = torch.zeros(pic.shape[0]+40, pic.shape[1]+40, dtype=pic.dtype)
    frame[[0,-1],:] = frame_px_value
    frame[:,[0,-1]] = frame_px_value
    frame[20:-20, 20:-20] = pic

    return frame
```

# Correction Mask

```python
f_list = []
for f in os.listdir(saveDataPath):
    if f.endswith('.pkl'):
        f_list.append(f)
f_list
```

    ['phonemask_blk600x600_antiatt_phone_mask_onsite_lb640_1_1012_092948.bmp.pkl',
     'phonemask_blk600x600_antiatt_phone_mask_raw_1012_092948.pkl',
     'phonemask_blk720x720_antiatt_phone_mask_onsite_lb450_1_1015_233224.bmp.pkl',
     'phonemask_blk720x720_antiatt_phone_mask_raw_1015_233224.pkl']

```python
def im_maxmin(img):
    plt.figure()
    plt.imshow(img)
    plt.colorbar()
    plt.title(f"max/min = {img.max():.1f}/{img.min():.1f} = {img.max()/img.min():.2f}")
    plt.xlabel(f"std/mean = {img.std():g}/{img.mean():g} = {img.std()/img.mean():g}")
    plt.show()
```

```python
import joblib
maskPath = saveDataPath
maskName = "phonemask_blk720x720_antiatt_phone_mask_onsite_lb450_1_1015_233224.bmp.pkl"
mask_str = "onsite"
# maskName = "blk600x600_antiatt_phone_mask_raw_0911_142600.bmp"
# mask_str = "rawmask"
phone_mask = joblib.load(saveDataPath / maskName)
# if len(mask.shape)==3:
#     mask = mask[:,:,1]
phone_mask
im_maxmin(phone_mask)
```

    <IPython.core.display.Javascript object>

    C:\Users\Logan\Anaconda3\lib\site-packages\ipykernel_launcher.py:5: RuntimeWarning: divide by zero encountered in double_scalars
      """

```python
expan_r = 5
x_norm_expan = torch.repeat_interleave(torch.ones(28, 28), expan_r, dim=0)
x_norm_expan = torch.repeat_interleave(x_norm_expan, expan_r, dim=1)
x_norm_embedded = CenterEmbedding(x_norm_expan, torch.zeros(1920, 1080))
sub_phone_mask = phone_mask * x_norm_embedded.numpy()
sub_phone_mask = sub_phone_mask / sub_phone_mask.max()
plt.figure()
plt.imshow(sub_phone_mask)
plt.show()
```

# Definition of the Neural Network

```python
""" Define digitized fully connected layers """

# Definition of an in-place digitization function.
def Digitize(tensor, quant_mode='det', levels=16, min_val=None, max_val=None):
    if not min_val and not max_val:
        min_val, max_val = tensor.min().item(), tensor.max().item()
    tensor.clamp_(min_val, max_val).add_(-1*min_val).mul_(levels-1).div_(max_val-min_val)
    if quant_mode == "det":
        tensor.round_()
    elif quant_mode == "rand":
        tensor.add_(torch.rand(tensor.size(), device=tensor.device).add_(-0.5)).round_()
    tensor.mul_(max_val-min_val).div_(levels-1).add_(min_val)
    return tensor

class DigitizeLinear(nn.Linear):

    def __init__(self,  *kargs, a_quant_mode="det", w_quant_mode="det", a_quant_levels=16, w_quant_levels=32, running_weight=0.001, **kwargs):
        super(DigitizeLinear, self).__init__(*kargs, **kwargs)
        self.act_quant_mode = a_quant_mode
        self.weight_quant_mode = w_quant_mode
        self.register_buffer("act_quant_levels", torch.tensor(a_quant_levels))
        self.register_buffer("weight_quant_levels", torch.tensor(w_quant_levels))
        self.register_buffer("running_weight", torch.tensor(running_weight))
        self.register_buffer("running_min", None)
        self.register_buffer("running_max", None)

    def forward(self, input):

        if not self.weight_quant_mode is None: # Set a flag to control weight digitization.
            if not hasattr(self.weight,'org'):
                self.weight.org=self.weight.data.clone()
            self.weight.data=Digitize(self.weight.data, quant_mode=self.weight_quant_mode, levels=self.weight_quant_levels)

        if not self.bias is None:
            self.bias.org=self.bias.data.clone()
        out = nn.functional.linear(input, self.weight, bias=self.bias)

        if not self.act_quant_mode is None: # A flag to control output digitization.
            if self.training: # Update the running average of min and max only during training
                with torch.no_grad():
                    if not self.running_min and not self.running_max:
                        self.running_min, self.running_max = out.min(), out.max()
                    self.running_min = (1-self.running_weight) * self.running_min + self.running_weight * out.min()
                    self.running_max = (1-self.running_weight) * self.running_max + self.running_weight * out.max()
            out.data=Digitize(out.data, quant_mode=self.act_quant_mode, levels=self.act_quant_levels, min_val=self.running_min, max_val=self.running_max)

        return out
```

```python
""" Define a generic QAT MLP structure (including perceptron) """

class Net(nn.Module):
    def __init__(self, Nunits, **kwargs):
        super().__init__()
        self.fcs = nn.ModuleList([DigitizeLinear(i,j,**kwargs) for i, j in zip(Nunits[:-1], Nunits[1:])])

    def forward(self, X):
        X = X.view(X.size(0), -1)
        for i, fc in enumerate(self.fcs):
            X = fc(X)
            if fc is not self.fcs[-1]:
                X = F.relu(X)
        return X

    def set_digitize_config(self, a_quant_mode, w_quant_mode, a_quant_levels, w_quant_levels):
        for fc in self.fcs:
            fc.act_quant_mode = a_quant_mode
            fc.weight_quant_mode = w_quant_mode
            fc.act_quant_levels = torch.tensor(a_quant_levels)
            fc.weight_quant_levels = torch.tensor(w_quant_levels)
```

```python
""" Load the trained model """

device = "cpu"

model = Net([784, 100, 100, 10])
for l in model.fcs:
    l.running_min = torch.tensor(0.0)
    l.running_max = torch.tensor(0.0)
model_ckpt = torch.load("./RA_4bit_H2_100_100_lr_0.043_0.50_m_0.87_wep_6_randActDigi_v80_ep97.pt", map_location=device)
model_state_dict = model_ckpt["model_state_dict"]
model.load_state_dict(model_state_dict)
model.to(device)
model.eval()
```

    Net(
      (fcs): ModuleList(
        (0): DigitizeLinear(in_features=784, out_features=100, bias=True)
        (1): DigitizeLinear(in_features=100, out_features=100, bias=True)
        (2): DigitizeLinear(in_features=100, out_features=10, bias=True)
      )
    )

```python
""" Construct dataloaders """

trainID_range = range(200) # ID of the samples to be passed through the NN

# Import the test data loaders
kwargs = {'num_workers': 1, 'pin_memory': True} if True else {}

data_mnist_test = datasets.MNIST('../ML_data',
                                 train=False,
                                 transform=transforms.Compose([transforms.ToTensor()]))

# Remember to set the batch size to the length of train ID range, or the dataloader will draw sample one by one.
subset_data_loader = torch.utils.data.DataLoader(data_mnist_test,
                                           batch_size=int(max(trainID_range)+1),
                                           shuffle=False, **kwargs)

# Remember to set the batch size to the length of train ID range, or the dataloader will draw sample one by one.
test_loader = torch.utils.data.DataLoader(data_mnist_test,
                                           batch_size=1,
                                           shuffle=False,  **kwargs)
```

# Notes on ONN Forward Propagation Implementation (Rev. 3)

The update equation from one neuron layer to the next:

\begin{equation}
x_{i}^{L+1} = \sigma(\sum_{j}^N{W_{ij}^{L} x_{j}^{L}+b_i^{L}})
\end{equation}

where $x_j^L$ is the activation of neuron $j$ in layer $L=0,1,..$.

Since the pixel values in an ONN are intensity encoded, including inputs, activations, and weights, the update equation needs to be modified such that the matrices and vectors to be loaded onto the ONN contain only non-negative numbers. In fact, the possible range of matrix and vector entries is actually limited to positive values, since the phone and SLM pixel values cannot infinitely approach zero in reality, due to hardware limitations. The following framework deals with the most general case where both phone and SLM pixel values cannot be extinguished to zero. If reality, if the resolution permits, the expression can be significantly simplified if either phone or SLM pixels can reach zero within the demanded accuracy.

The update equation is first rewritten into a vector form to facilitate the following discussion:

\begin{equation}
X^{L+1} = \sigma({W^{L} X^{L} + B^{L}})
\end{equation}

A note on symbol convention: any lower case letter represents a column vector (e.g., $b$, $x$); any captital letter represents a matrix (e.g., $W$, and $X$ actually indicates a batch of data $X = [x_0, x_1, ..., x_{B-1}]$); columns and rows of a matrix is represented in Python indexing convention (i.e., $W[,j]$ and $W[i,]$); element at row $i$ and column $j$ of matrix $W$ is written as $W[i,j]$ instead of $W_{ij}$; the $i$th element in vector a vector is also indicated with Python indexing convention (e.g., $x[i]$ instead of $x_i$). The superscript $L$ indicating the layer of NN is dropped here and below as long as it does not cause any confusion.

Therefore, $W^L[i,j]$ is the weight from neuron i in layer L to neuron j in layer L+1, $X^L[j,k]$ is the actication of neuron j of data batch index k, $B^L[i,k]$ is the bias for neuron i in layer L.

Each element in a row $W[i,]$ can be linearly mapped from interval $[\text{min}(W[i,]), \text{max}(W[i,])]$ to $[I_\text{min}, I_\text{max}]$, with $I_\text{max}>I_\text{min} \geq 0$. More explicitely, the resultant matrix $\tilde{W}$ is related to $W$ with the relation:

\begin{equation}
W = \hat{K}\tilde{W} + \hat{D}\mathbb{1}
\end{equation}

where
\begin{equation}
\hat{K}=\frac{1}{I_\text{max}-I_\text{min}}diag\{\Delta W_i = \text{max}(W[i,]) - \text{min}(W[i,])\},
\hat{D} = \frac{1}{I_\text{max}-I_\text{min}} diag \{I_\text{max} \text{min}(W[i,]) - I_\text{min} \text{max}(W[i,]) \}
\end{equation}
and $\mathbb{1}$ is all 1 matrix. (Tip: hat implies diagonal matrix; tilde implies the control signal to be sent to a device, such as phone or SLM).

The same transform can be performed on a data batch, which gives $X = \tilde{X} \hat{K}_X  +  \mathbb{1}\hat{D}_X$ ($\hat{K}_X$ and $X$ switch position because the definiation of $X$ is transposed from that of $W$.)

Now we can rewrite the update equation as
\begin{equation}
X^{L+1}  = \sigma( \hat{K}  \{\tilde{W} \tilde{X}^L\} \hat{K}_X  + \hat{D} \{\mathbb{1} \tilde{X}^L\} \hat{K}_X  + \hat{K} \{\tilde{W}\mathbb{1}\}\hat{D}_X + \hat{D} \mathbb{1}\mathbb{1} \hat{D}_X + b)
\end{equation}

Note that the matrix products in curly brackets are to be measured expiermentally from the ONN output, and the other quantities are computed once and stored.

The reason to rewrite the update equation in this form is to carry out *each* inner product computation at the full pixel resolution of the smartphone and SLM. The matrices and vectors are always normalized to cover the entire dynamic range of the devices. The normalization factor is stored and later re-applied to the value readout from the ONN to recover the actual numerical value.

More specifically, the passing of NN activation from one layer to the next can be summarized as the following steps:
1. Normalize $W$ to $\tilde{W}$, which needs to be done only once for a trained NN and takes $O(MN)$ operations.
2. Normalize $X$ to $\tilde{X}$, which needs to be done for every input and layer and takes a total of $NBL$ multiplications. However, these operations can be waived if the phone pixel has high enough bit depth. Since the activations are usually non-negative numbers, it is possible to represent them with pixel intensity without any pre-processing.
3. Load $\tilde{X}$ to the phone to control pixel intensity and $\tilde{W}$ to SLM to control transimission. In this way, $\tilde{W}$ and $\tilde{X}$ are both represented with the full resolutin of the devices.
4. Measure the total pixel value in a region of interest that corresponds to the inner product $\tilde{W}[i,]\tilde{X}[,j]$ (read: the input to neuron $i$ for the data batch index $j$) in the captured camera image. In the ideal case, this signal can be measured by a single-pixel detector.
5. Use the calibration model to find $\tilde{W}[i,]\tilde{X}[,j]$ based on the integrated pixel value in the regions of interest, obtained in step (4).
6. After reading out all the entries of $\tilde{W}\tilde{X}$ (W_til_X_til), multiply it with $\hat{D}$ and $\hat{D_X}$ digitially, which were obtained in step (1) and (2).
7. Derive $\mathbb{1} \tilde{X}$ (sum_X_til) and $\tilde{W}\mathbb{1}$ (sum_W_til) following similar steps as (5) and (6). Essentially they are just special cases of $\tilde{W}\tilde{X}$ with either $\tilde{W} = \mathbb{1}$ or $\tilde{X} = \mathbb{1}$.
8. Add the computed terms $\hat{K}\tilde{W}\tilde{X}\hat{K}_X$ (Delta_W_Delta_X), $\hat{D}\mathbb{1}\tilde{X}\hat{K}_X$ (Offset_W_Delta_X),  $\hat{K}\tilde{W}\mathbb{1}\hat{D}_X$ (Delta_W_Offset_X), $\hat{D} \mathbb{1}\mathbb{1}\hat{D}_X$ (Offset_W_Offset_X), and $b$ digitally, and then apply the nonlinear activation function $\sigma$ to obtain the activations of neurons.

```python
"""Auxilitary functions for simulating activation propation in ONN"""

def digitize(x, levels=8, min_val=None, max_val=None):
    """
    digitize activations into the discrete steps, by rounding to the closest level.
    levels: specifies the number of total discrete levels.
    min_val: the x value to be mapped to the lowest level
    max_val: the x value to be mapped to the highest level
    """

    if not min_val and not max_val:
        min_val, max_val = x.min(), x.max()
    x = (levels-1)*(x - min_val)/(max_val-min_val)
    x = x.round()
    x = torch.min(torch.max(x, torch.zeros_like(x)), torch.ones_like(x)*(levels-1))
    x = x*(max_val-min_val)/(levels-1) + min_val
    return x

def Matrix_Linear_Mapping(W, target_interval):
    """
    Transform each column of W with the following linear transform:
    Argument target_interval=[a,b] specifies the lower and upper bound a and b.
    The minimum of each column of W will be mapped to a, and the maximum of each W column mapped to b.
    The rest of elements in the column are mapped in-between a and b with linear interporlation.
    Such operation is repeated for each column individually.
    """

    W = W.type(torch.double)
    W_mins, _ = torch.min(W, dim=0)
    W_maxs, _ = torch.max(W, dim=0)
    Delta_I = float(target_interval[1] - target_interval[0])
    Delta_W = W_maxs - W_mins
    K_W = torch.diag(Delta_W/Delta_I)
    D_W = target_interval[1]*W_mins - target_interval[0]*W_maxs
    offset = torch.mm(torch.repeat_interleave(D_W.view(1,-1), W.shape[0],dim=0), torch.diag(1/Delta_W))
    W_til = torch.mm(W, torch.diag(Delta_I/Delta_W)) - offset

    return (W_til, K_W, torch.diag(D_W)/Delta_I)

def ONN_layer_prop(layer, W_transform, X_transform, W_digitize_func=None, X_digitize_func=None, Act_digitize_func=None,  X=None,
                     W_til_X_til=None, sum_W_til=None, sum_X_til=None):
    """
    Forward propagate a batch of data for one layer.

    layer: of type torch.nn.module, the layer to propagate the current batch of data through. Both W and b are derived from layer.
    W_transform: the mapping from the W stored in layer to the control value to be applied to SLM.
    X_transform: the mapping from the activation values stored in X to the control value to be applied to the smartphone.
    Act_digitize_func: The function for digitizing the output activation. No digitization is performed if None is given.
    W_digitize_func: The function for digitizing weight matrix W before the forward propagation.
                     No digitization is performed if None is assigned to W_digitize_func as default.
    X_digitize_func: The function for digitizing the batch data X before the forward propagation.
                     No digitization is performed if None is assigned to X_digitize_func as default.
    X: Inputs to the current NN layer.
       If X is not given, an identity matrix is assigned to X as default, such that the W_til_X_til returned by the function equals W_til.
       X.shape = [batch size, current NN layer width]
    W: weight matrix derived from layer. W.shape = [current NN layer width, next NN layer size]
    b: bias vector. b.shape = [next NN layer width]

    When no digitization is performed on W, X, or Wx+b, only linear stretching is performed on W and X, and the output of the function is
    almost identical to the results obtained by prop(layer).
    """

    W = layer.weight.data.t()

    # Normalize W
    (W_til, K_W, D_W) = W_transform(W)

    if X is None: # If X is not given, make it an identity matrix.
        X = torch.eye(W.shape[0])
        (X_til, K_X, D_X) = Matrix_Linear_Mapping(X, [0,1])
    else: # Normalize X
        (X_til, K_X, D_X) = X_transform(X.t())
        (X_til, K_X, D_X) = (X_til.t(), K_X.t(), D_X.t())

    if W_digitize_func is not None:
        W_til = W_digitize_func(W_til)

    if X_digitize_func is not None:
        X_til = X_digitize_func(X_til)

    W_til_max = W_til[:,0].max()
    X_til_max = X_til[0,:].max()

    # First simulate the three measurables from the ONN (defined in Notes on ONN Forward Propagation Implementation (Rev. 3)):
    if W_til_X_til is None:
        W_til_X_til = torch.mm(X_til, W_til) # tilde{WX}
    if sum_X_til is None:
        sum_X_til = torch.mm(X_til, torch.ones_like(W_til)) * W_til_max # sum(tilde{X[j,:]}), aka the sum of all activations of batch index j.
    if sum_W_til is None:
        sum_W_til = torch.mm(torch.ones_like(X_til), W_til) * X_til_max# sum(tilde{W[:,i]}), aka the sum of all weights into neuron i.

    # The following terms are defined in Notes on ONN Forward Propagation Implementation (Rev. 3)
    Delta_W_Delta_X = torch.mm(torch.mm(K_X, W_til_X_til), K_W)
    Delta_W_Offest_X = torch.mm(torch.mm(K_X, sum_X_til), D_W) / W_til_max
    Offset_W_Delta_X = torch.mm(D_X, torch.mm(sum_W_til, K_W)) / X_til_max
    Offset_W_Offset_X = torch.mm(D_X, torch.mm(torch.ones_like(W_til_X_til)*W_til.shape[0], D_W))

    Wx = Delta_W_Delta_X + Delta_W_Offest_X + Offset_W_Delta_X + Offset_W_Offset_X  # Wx
    Wx_b = Wx + torch.repeat_interleave(layer.bias.view(1,-1), W_til_X_til.shape[0], dim=0).type(torch.double) # Wx+b
    if Act_digitize_func is not None:
        Wx_b = Act_digitize_func(Wx_b) # digitize(Wx+b)
    a = F.relu(Wx_b) # ReLU(digitize(Wx+b))

    return {"norm(W)norm(X)": W_til_X_til, "sum(norm(X))": sum_X_til, "sum(norm(W))": sum_W_til, "Wx": Wx, "Wx+b": Wx_b, "a": a}
```

```python
# Calculate the ground truth of activations of each layer
# by Propagating each test sample through the trained NN and record activation of each layer.
import pandas

X, data_labels = next(iter(subset_data_loader))
X = X.view(X.size(0), -1)
X0 = X

df_layer = {}

# Define the transform and quantization functions for all layers:
W_transform = lambda W: Matrix_Linear_Mapping(W, [5,2**8-1])
X_transform = lambda X: Matrix_Linear_Mapping(X, [0,1000-1])
W_digitize = lambda W: Digitize(W.clone(), levels=2**8-5) # levels of quantization for W
X_digitize = lambda X: Digitize(X.clone(), levels=1000) # levels of quantization for X
# One very strange thing is that you cannot lambda function dictionary

for l, layer in enumerate(model.fcs):
    # Calculate the ground truth activation by passing through one layer
    layer.act_quant_mode=None
    layer.weight_quant_mode=None
    X0 = F.relu(layer(X0))

    # Propagate the batch for one layer
    Act_digitize = lambda X: Digitize(X.clone(), levels=2**4, min_val=layer.running_min.item(), max_val=layer.running_max.item()) # levels of quantization for y=Wx+b
    results = ONN_layer_prop(layer, W_transform, X_transform, \
                             W_digitize_func=W_digitize, X_digitize_func=X_digitize, Act_digitize_func=Act_digitize, X=X)
    X = results["a"] # The activation of the current layer is the input to the next layer.

    results["a_true"] = X0
    df = {}
    for k in results.keys():
        df[k] = pandas.DataFrame(results[k].detach().numpy()).stack(level=-1)
    df_layer[l] = pandas.concat(df, axis=1)

# Concatenate the df for each sample into an even larger one to include all the samples spcified.
df_all_acts = pandas.concat(df_layer, axis=0, \
                            keys=df_layer.keys(), names=["layer", "test_ID", "output node"])
df_all_acts.index = df_all_acts.index.swaplevel(0,1)
```

```python
df_all_acts
```

<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th></th>
      <th></th>
      <th>norm(W)norm(X)</th>
      <th>sum(norm(X))</th>
      <th>sum(norm(W))</th>
      <th>Wx</th>
      <th>Wx+b</th>
      <th>a</th>
      <th>a_true</th>
    </tr>
    <tr>
      <th>test_ID</th>
      <th>layer</th>
      <th>output node</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th rowspan="5" valign="top">0</th>
      <th rowspan="5" valign="top">0</th>
      <th>0</th>
      <td>7435548.0</td>
      <td>18435480.0</td>
      <td>101575323.0</td>
      <td>-15.719175</td>
      <td>-15.587848</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>1</th>
      <td>9019478.0</td>
      <td>18435480.0</td>
      <td>99886014.0</td>
      <td>-3.035051</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>2</th>
      <td>9160499.0</td>
      <td>18435480.0</td>
      <td>95635269.0</td>
      <td>-1.905754</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>3</th>
      <td>9690888.0</td>
      <td>18435480.0</td>
      <td>101176722.0</td>
      <td>2.341606</td>
      <td>5.428436</td>
      <td>5.428436</td>
      <td>2.607136</td>
    </tr>
    <tr>
      <th>4</th>
      <td>11035015.0</td>
      <td>18435480.0</td>
      <td>94579326.0</td>
      <td>13.105385</td>
      <td>12.433863</td>
      <td>12.433863</td>
      <td>12.107492</td>
    </tr>
    <tr>
      <th>...</th>
      <th>...</th>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th rowspan="5" valign="top">199</th>
      <th rowspan="5" valign="top">2</th>
      <th>5</th>
      <td>596998.0</td>
      <td>2243745.0</td>
      <td>10846143.0</td>
      <td>-502.093804</td>
      <td>-515.057654</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>6</th>
      <td>604275.0</td>
      <td>2243745.0</td>
      <td>9649341.0</td>
      <td>-495.412649</td>
      <td>-515.057654</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>7</th>
      <td>1273638.0</td>
      <td>2243745.0</td>
      <td>10318671.0</td>
      <td>119.142521</td>
      <td>94.972668</td>
      <td>94.972668</td>
      <td>101.693199</td>
    </tr>
    <tr>
      <th>8</th>
      <td>1021207.0</td>
      <td>2243745.0</td>
      <td>12271716.0</td>
      <td>-112.619283</td>
      <td>-108.370772</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>9</th>
      <td>682060.0</td>
      <td>2243745.0</td>
      <td>11444544.0</td>
      <td>-423.996730</td>
      <td>-413.385933</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
  </tbody>
</table>
<p>42000 rows × 7 columns</p>
</div>

```python
print(data_labels[50])
df_all_acts.loc[(50,0)]
```

    tensor(6)

    C:\Users\Logan\Anaconda3\lib\site-packages\ipykernel_launcher.py:2: PerformanceWarning: indexing past lexsort depth may impact performance.

<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>norm(W)norm(X)</th>
      <th>sum(norm(X))</th>
      <th>sum(norm(W))</th>
      <th>Wx</th>
      <th>Wx+b</th>
      <th>a</th>
      <th>a_true</th>
    </tr>
    <tr>
      <th>output node</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>10328027.0</td>
      <td>20142450.0</td>
      <td>101575323.0</td>
      <td>0.475091</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>1</th>
      <td>10031575.0</td>
      <td>20142450.0</td>
      <td>99886014.0</td>
      <td>-1.898899</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>2</th>
      <td>11218257.0</td>
      <td>20142450.0</td>
      <td>95635269.0</td>
      <td>7.604060</td>
      <td>5.428436</td>
      <td>5.428436</td>
      <td>6.597994</td>
    </tr>
    <tr>
      <th>3</th>
      <td>11818030.0</td>
      <td>20142450.0</td>
      <td>101176722.0</td>
      <td>12.407047</td>
      <td>12.433863</td>
      <td>12.433863</td>
      <td>12.708588</td>
    </tr>
    <tr>
      <th>4</th>
      <td>9299017.0</td>
      <td>20142450.0</td>
      <td>94579326.0</td>
      <td>-7.765229</td>
      <td>-8.582420</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>95</th>
      <td>8049976.0</td>
      <td>20142450.0</td>
      <td>105060834.0</td>
      <td>-17.767560</td>
      <td>-15.587848</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>96</th>
      <td>9271061.0</td>
      <td>20142450.0</td>
      <td>97347555.0</td>
      <td>-7.989101</td>
      <td>-8.582420</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>97</th>
      <td>10241632.0</td>
      <td>20142450.0</td>
      <td>106398495.0</td>
      <td>-0.216761</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>98</th>
      <td>9954893.0</td>
      <td>20142450.0</td>
      <td>100877022.0</td>
      <td>-2.512969</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>99</th>
      <td>11442822.0</td>
      <td>20142450.0</td>
      <td>97679223.0</td>
      <td>9.402378</td>
      <td>5.428436</td>
      <td>5.428436</td>
      <td>8.418477</td>
    </tr>
  </tbody>
</table>
<p>100 rows × 7 columns</p>
</div>

# Generate Phone and SLM Images

```python
""" Generate the weight images to be applied to SLM and save them. """
# Pre-process the SLM weight matrix by shifting all elements to non-negative.

import numpy as np
from utils.helper_functions import ConvertPhoneImageToSLMImage, NormalizeWeights, CenterEmbedding

# Indicate the current NN layer (the 1st layer has index 0)
L = 0
expan_r = 5

# Convert weight matrix to SLM control values using EXACTLY the same sequence of functions as in ONN_layer_prop()
W = model.fcs[L].weight.data.t()
W_til,_,_ = W_transform(W)
W_norm = W_digitize(W_til).t()
W_norm = W_norm.round().type(torch.uint8)

slm_weights_numpy = {}

for i in range(W_norm.size(0)):
    # Add a frame for alignment, and embed in a canvas of phone display size
    w_norm_expan = torch.repeat_interleave(W_norm[i,:].view(28,-1), expan_r, dim=0)
    w_norm_expan = torch.repeat_interleave(w_norm_expan, expan_r, dim=1)
    w_norm_embedded = CenterEmbedding(w_norm_expan, torch.zeros(1920, 1080, dtype=torch.uint8))
    w_norm_slm = ConvertPhoneImageToSLMImage(w_norm_embedded, 1.0) # Convert the phone image to SLM image.

    # Save the SLM patterns to image files.
    w_norm_path = slmWeightPath / (f"SLM_MLP_{expan_r}x_fc{L}_w{i}.bmp")
    w_norm_slm.save(w_norm_path.as_posix(), format = 'bmp') # PIL.Image.save can be saved as 8-bit greyscale bmp

w_norm_embedded = CenterEmbedding(torch.ones_like(w_norm_expan)*255, torch.zeros(1920, 1080, dtype=torch.uint8))
w_norm_slm = ConvertPhoneImageToSLMImage(w_norm_embedded, 1.0) # Convert the phone image to SLM image.

# Save the SLM patterns to image files.
w_norm_path = slmWeightPath / (f"SLM_MLP_{expan_r}x_fc{L}_wsum.bmp")
w_norm_slm.save(w_norm_path.as_posix(), format = 'bmp') # PIL.Image.save can be saved as 8-bit greyscale bmp

# Plot w_kaleidoscope
print("The normalized weight matrix to be applied on the SLM looks like below:")
fig, ax = plt.subplots()
im = ax.imshow(w_norm_slm)
fig.colorbar(im, ax=ax)
plt.show()
```

    The normalized weight matrix to be applied on the SLM looks like below:

    <IPython.core.display.Javascript object>

```python
""" Generate the images to be displayed on the phone and save them. """

input_data, data_labels = next(iter(subset_data_loader))
input_data = input_data.view(X.size(0), -1)

px_margin = 1
blankImage = torch.zeros(3, 1920, 1080, dtype=torch.uint8)

for i, batchIdx in enumerate(trainID_range):

    # x is the output of the previous layer L-1 (L>0) or the input data (L==0).
    if L > 0:
        x = torch.tensor(df_measured_acts["ORDERED"].loc[batchIdx, L-1, :].values)
        #x = torch.tensor(df_all_acts["a_true"].loc[batchIdx, L-1, :].values) # test mode
    elif L == 0:
        x = input_data[batchIdx,:]

    # Normalize each x to its max and min and scale to 7 bit to match the dynamical range of the phone.
    # The operations here are performed EXACTLY the same as in ONN_layer_prop()
    x_til,_,_ = X_transform(x.view(-1,1))
    x_norm = X_digitize(x_til.squeeze()).round().type(torch.long) # round() cannot be omitted for type(torch.long) sometimes work as floor(0)

    # Add the singla-pixel frame for image alignment.
    imToPhone = blankImage.clone()
    x_norm_expan = torch.repeat_interleave(x_norm.view(28,-1), expan_r, dim=0)
    x_norm_expan = torch.repeat_interleave(x_norm_expan, expan_r, dim=1)
    x_norm_spar = x_norm_expan
    x_norm_spar[::expan_r,:] = 0
    x_norm_spar[(expan_r-px_margin)::expan_r,:] = 0
    x_norm_spar[:,::expan_r] = 0
    x_norm_spar[:,(expan_r-px_margin)::expan_r] = 0
    x_norm_embedded = CenterEmbedding(x_norm_spar, blankImage[1,:,:].type(torch.long))
    imToPhone[1, :, :] = lut_p[x_norm_embedded.type(torch.long)] # no uniformness correction
    #phone_corr_numpy = lut_p[(x_norm_embedded * sub_phone_mask).type(torch.long)]
    #imToPhone[1, :, :] = phone_corr_numpy

    # Save the generated image
    imToPhone_PIL = transforms.ToPILImage()(imToPhone)
    imToPhone_PIL.save((phoneImagePath / f"test_{expan_r}x_gap2px_MLP_fc{L}_digit_{data_labels[batchIdx]}_{batchIdx:05d}.png").as_posix())

# Generate and save a black image to be displayed on the phone for background and power saving.
blackImage_PIL = transforms.ToPILImage()(blankImage)
blackImage_PIL.save((phoneImagePath / "black.png").as_posix())

print("The normalized weight matrix to be applied on the SLM looks like below:")
fig, ax = plt.subplots()
im = ax.imshow(imToPhone_PIL)
fig.colorbar(im, ax=ax)
plt.show()
```

    The normalized weight matrix to be applied on the SLM looks like below:

    <IPython.core.display.Javascript object>

```python
ConvertPhoneImageToSLMImage(imToPhone[1,:,:], 1.0).save((slmWeightPath / "alignment_check").as_posix(), format = 'bmp')
```

# Acquire Data

```python
""" Set up MPPC experiment scheme. """

repeats = 100
oscope.set_range(6)
oscope.set_offset(2)
oscope_info(oscope)
```

    {'ID': 'HEWLETT-PACKARD,54845A,US40240103,A.04.50\n',
     'x_range': 0.0001,
     'x_unit': 'SECOND',
     'y_range': 6.0,
     'y_unit': 'VOLT',
     'y_offset': 2.0,
     'y_bounds': [-1.0, 5.0]}

```python
""" Set up the (empty) dataframe table for taking data. """

import pandas

repeats = 100
test_digit_idx = np.arange(20)
node_idx = [*range(100), "sum", "bkg"]
time_ranges = [0.0001, ]
#rowMultiIdx = pandas.MultiIndex.from_product([test_digit_idx, node_idx, time_ranges, np.arange(repeats)], names=["test_ID", "output_node", "time_range", "repeats"])
rowMultiIdx = pandas.MultiIndex.from_product([node_idx, time_ranges, np.arange(repeats)], names=["output_node", "time_range", "repeats"])
#df_volTraces = pandas.DataFrame(index=rowMultiIdx, columns=np.arange(1004))

phoneLoadPath = phoneImagePath
slmLoadPath = slmWeightPath

print(phoneLoadPath)
print(slmLoadPath)
print(rowMultiIdx)
#print(df_volTraces)
```

    D:\McMahon lab Dropbox\peter mcmahon\tw329\Experiments\12_01_20_4bit_randy_aug_MLP_100_100_MPPC\phone_images
    D:\McMahon lab Dropbox\peter mcmahon\tw329\Experiments\12_01_20_4bit_randy_aug_MLP_100_100_MPPC\slm_weights
    MultiIndex([(    0, 0.0001,  0),
                (    0, 0.0001,  1),
                (    0, 0.0001,  2),
                (    0, 0.0001,  3),
                (    0, 0.0001,  4),
                (    0, 0.0001,  5),
                (    0, 0.0001,  6),
                (    0, 0.0001,  7),
                (    0, 0.0001,  8),
                (    0, 0.0001,  9),
                ...
                ('bkg', 0.0001, 90),
                ('bkg', 0.0001, 91),
                ('bkg', 0.0001, 92),
                ('bkg', 0.0001, 93),
                ('bkg', 0.0001, 94),
                ('bkg', 0.0001, 95),
                ('bkg', 0.0001, 96),
                ('bkg', 0.0001, 97),
                ('bkg', 0.0001, 98),
                ('bkg', 0.0001, 99)],
               names=['output_node', 'time_range', 'repeats'], length=10200)

```python
""" Perform the inference of the trained model with ONN on test digits, and save the data. """

import joblib, pickle, time

exp_time = datetime.now()
savePath = resultPath /  (f"MLP_fc{L}_{expan_r}x_marg_1px_MPPC_{exp_time:%m%d_%H%M%S}")
print(savePath)
if not os.path.exists(savePath.as_posix()):
    os.makedirs(savePath.as_posix())

oscope.instrument.write("TIM:RANG 0.0001")

joblib.dump([oscope_info(oscope),], savePath / 'exp_info.pkl')
dataFile = pandas.HDFStore((savePath / "mppc_vol_meas.h5").as_posix())

# write a black image to the phone to take the background
blackImage_PIL = Image.open((phoneImagePath / "black.png").as_posix())
blackImage_byte = PIL_to_bytestream(blackImage_PIL)

for idx in range(180, 200):
#for idx in range(20):
    t0 = time.time()
    # Record background to capture potential voltage bias drift
    aoab.write(blackImage_byte)
    #time.sleep(0.5)
    slmPattern_PIL = Image.open((slmLoadPath / f"SLM_solid_0.bmp").as_posix())
    slm.updateArray((np.array(slmPattern_PIL)).astype('uint8'))
    time.sleep(0.5)

    df = pandas.DataFrame(index=rowMultiIdx, columns=np.arange(1004))

    for i in rowMultiIdx.get_level_values("repeats").unique():
        trace = oscope.get_waveform()
        df.loc[("bkg", 0.0001, i), range(len(trace))] = trace
        time.sleep(0.04)
    print(f"time_span=0.0001s, test_ID={idx}, label={data_labels[idx]}, output_node=bkg, voltage={trace.mean()}")

    # Load the phone pattern
    phonePattern_PIL = Image.open((phoneLoadPath / f"test_{expan_r}x_gap2px_MLP_fc{L}_digit_{data_labels[idx]}_{idx:05d}.png").as_posix())
    phonePattern_byte = PIL_to_bytestream(phonePattern_PIL)
    aoab.write(phonePattern_byte)
    time.sleep(0.5) # Wait for the pattern applied to be stable
    for n in rowMultiIdx.get_level_values("output_node").unique().drop("bkg"):
        # refresh the slm pattern
        slmPattern_PIL = Image.open((slmLoadPath / f"SLM_MLP_{expan_r}x_fc{L}_w{n}.bmp").as_posix())
        slm.updateArray((np.array(slmPattern_PIL)).astype('uint8'))
        time.sleep(0.5) # Wait for the pattern applied to be stable

        for i in rowMultiIdx.get_level_values("repeats").unique():
            trace = oscope.get_waveform()
            df.loc[(n, 0.0001, i), range(len(trace))] = trace
            time.sleep(0.04)
        print(f"time_span=0.0001s, test_ID={idx}, label={data_labels[idx]}, output_node={n}, voltage={trace.mean()}")

        if n == 10 and idx == 180:
            print("20 s to exit anydesk")
            time.sleep(20)

    t1 = time.time()
    print(f"Time consumed for 1 sample = {t1-t0} s")
    t0 = t1
    dataFile[str(idx)]=df

dataFile.close()
aoab.write(blackImage_byte)
print("Finished! Safe to change code now.")
```

    D:\McMahon lab Dropbox\peter mcmahon\tw329\Experiments\12_01_20_4bit_randy_aug_MLP_100_100_MPPC\MLP_fc0_5x_marg_1px_MPPC_1220_124131

    C:\Users\Logan\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py:2878: PerformanceWarning: indexing past lexsort depth may impact performance.
      raw_cell, store_history, silent, shell_futures)

    time_span=0.0001s, test_ID=180, label=1, output_node=bkg, voltage=-0.0031165340915322304
    time_span=0.0001s, test_ID=180, label=1, output_node=0, voltage=0.004261952359229326
    time_span=0.0001s, test_ID=180, label=1, output_node=1, voltage=0.0043017929419875145
    time_span=0.0001s, test_ID=180, label=1, output_node=2, voltage=0.0028117529582232237
    time_span=0.0001s, test_ID=180, label=1, output_node=3, voltage=0.001362549839541316
    time_span=0.0001s, test_ID=180, label=1, output_node=4, voltage=0.007617529947310686
    time_span=0.0001s, test_ID=180, label=1, output_node=5, voltage=0.0004910359275527298
    time_span=0.0001s, test_ID=180, label=1, output_node=6, voltage=0.00555677292868495
    time_span=0.0001s, test_ID=180, label=1, output_node=7, voltage=0.005204183515161276
    time_span=0.0001s, test_ID=180, label=1, output_node=8, voltage=0.003472111653536558
    time_span=0.0001s, test_ID=180, label=1, output_node=9, voltage=0.001879482064396143
    time_span=0.0001s, test_ID=180, label=1, output_node=10, voltage=0.0013326694024726748
    20 s to exit anydesk
    time_span=0.0001s, test_ID=180, label=1, output_node=11, voltage=0.005313745234161615
    time_span=0.0001s, test_ID=180, label=1, output_node=12, voltage=0.003431274788454175
    time_span=0.0001s, test_ID=180, label=1, output_node=13, voltage=0.0021832669153809547
    time_span=0.0001s, test_ID=180, label=1, output_node=14, voltage=0.004253983963280916
    time_span=0.0001s, test_ID=180, label=1, output_node=15, voltage=0.0010458168108016253
    time_span=0.0001s, test_ID=180, label=1, output_node=16, voltage=0.0031195220071822405
    time_span=0.0001s, test_ID=180, label=1, output_node=17, voltage=0.002644421998411417
    time_span=0.0001s, test_ID=180, label=1, output_node=18, voltage=0.0031085656955838203
    time_span=0.0001s, test_ID=180, label=1, output_node=19, voltage=0.002818725071847439
    time_span=0.0001s, test_ID=180, label=1, output_node=20, voltage=-3.68526489182841e-05
    time_span=0.0001s, test_ID=180, label=1, output_node=21, voltage=0.0032161353155970573
    time_span=0.0001s, test_ID=180, label=1, output_node=22, voltage=0.0029571710620075464
    time_span=0.0001s, test_ID=180, label=1, output_node=23, voltage=0.001761952298693359
    time_span=0.0001s, test_ID=180, label=1, output_node=24, voltage=0.002108565764501691
    time_span=0.0001s, test_ID=180, label=1, output_node=25, voltage=0.0019810758531093597
    time_span=0.0001s, test_ID=180, label=1, output_node=26, voltage=0.0019153389148414135
    time_span=0.0001s, test_ID=180, label=1, output_node=27, voltage=0.004915338475257158
    time_span=0.0001s, test_ID=180, label=1, output_node=28, voltage=0.002556772902607918
    time_span=0.0001s, test_ID=180, label=1, output_node=29, voltage=0.005300797522068024
    time_span=0.0001s, test_ID=180, label=1, output_node=30, voltage=-0.00038645416498184204
    time_span=0.0001s, test_ID=180, label=1, output_node=31, voltage=0.0031245017889887094
    time_span=0.0001s, test_ID=180, label=1, output_node=32, voltage=0.007518924307078123
    time_span=0.0001s, test_ID=180, label=1, output_node=33, voltage=0.0009322709520347416
    time_span=0.0001s, test_ID=180, label=1, output_node=34, voltage=0.0003067729121539742
    time_span=0.0001s, test_ID=180, label=1, output_node=35, voltage=0.006518924608826637
    time_span=0.0001s, test_ID=180, label=1, output_node=36, voltage=0.002628485905006528
    time_span=0.0001s, test_ID=180, label=1, output_node=37, voltage=0.0003555776784196496
    time_span=0.0001s, test_ID=180, label=1, output_node=38, voltage=0.003910358529537916
    time_span=0.0001s, test_ID=180, label=1, output_node=39, voltage=0.005588645581156015
    time_span=0.0001s, test_ID=180, label=1, output_node=40, voltage=0.0033456177916377783
    time_span=0.0001s, test_ID=180, label=1, output_node=41, voltage=0.0004571714380290359
    time_span=0.0001s, test_ID=180, label=1, output_node=42, voltage=0.005701194982975721
    time_span=0.0001s, test_ID=180, label=1, output_node=43, voltage=0.005355577450245619
    time_span=0.0001s, test_ID=180, label=1, output_node=44, voltage=0.003864541882649064
    time_span=0.0001s, test_ID=180, label=1, output_node=45, voltage=0.004826693329960108
    time_span=0.0001s, test_ID=180, label=1, output_node=46, voltage=0.0015079681761562824
    time_span=0.0001s, test_ID=180, label=1, output_node=47, voltage=0.0038097607903182507
    time_span=0.0001s, test_ID=180, label=1, output_node=48, voltage=0.0014482071856036782
    time_span=0.0001s, test_ID=180, label=1, output_node=49, voltage=0.009555776603519917
    time_span=0.0001s, test_ID=180, label=1, output_node=50, voltage=0.0036384460981935263
    time_span=0.0001s, test_ID=180, label=1, output_node=51, voltage=0.003015936119481921
    time_span=0.0001s, test_ID=180, label=1, output_node=52, voltage=0.0044999998062849045
    time_span=0.0001s, test_ID=180, label=1, output_node=53, voltage=0.005099601577967405
    time_span=0.0001s, test_ID=180, label=1, output_node=54, voltage=0.0046075694262981415
    time_span=0.0001s, test_ID=180, label=1, output_node=55, voltage=0.004411354660987854
    time_span=0.0001s, test_ID=180, label=1, output_node=56, voltage=0.0026802788488566875
    time_span=0.0001s, test_ID=180, label=1, output_node=57, voltage=0.005110557656735182
    time_span=0.0001s, test_ID=180, label=1, output_node=58, voltage=0.004308765288442373
    time_span=0.0001s, test_ID=180, label=1, output_node=59, voltage=0.003336653346195817
    time_span=0.0001s, test_ID=180, label=1, output_node=60, voltage=0.002766932127997279
    time_span=0.0001s, test_ID=180, label=1, output_node=61, voltage=0.001241035875864327
    time_span=0.0001s, test_ID=180, label=1, output_node=62, voltage=0.0035458167549222708
    time_span=0.0001s, test_ID=180, label=1, output_node=63, voltage=0.002668326487764716
    time_span=0.0001s, test_ID=180, label=1, output_node=64, voltage=0.0046583665534853935
    time_span=0.0001s, test_ID=180, label=1, output_node=65, voltage=0.0040099602192640305
    time_span=0.0001s, test_ID=180, label=1, output_node=66, voltage=0.0004900398198515177
    time_span=0.0001s, test_ID=180, label=1, output_node=67, voltage=0.00397410336881876
    time_span=0.0001s, test_ID=180, label=1, output_node=68, voltage=0.0030049802735447884
    time_span=0.0001s, test_ID=180, label=1, output_node=69, voltage=0.0014103585854172707
    time_span=0.0001s, test_ID=180, label=1, output_node=70, voltage=0.0047051794826984406
    time_span=0.0001s, test_ID=180, label=1, output_node=71, voltage=0.002912350697442889
    time_span=0.0001s, test_ID=180, label=1, output_node=72, voltage=0.0026015935000032187
    time_span=0.0001s, test_ID=180, label=1, output_node=73, voltage=0.0011762948706746101
    time_span=0.0001s, test_ID=180, label=1, output_node=74, voltage=0.003565737046301365
    time_span=0.0001s, test_ID=180, label=1, output_node=75, voltage=0.002744023920968175
    time_span=0.0001s, test_ID=180, label=1, output_node=76, voltage=0.0018884462770074606
    time_span=0.0001s, test_ID=180, label=1, output_node=77, voltage=-0.00038545820279978216
    time_span=0.0001s, test_ID=180, label=1, output_node=78, voltage=0.006803784519433975
    time_span=0.0001s, test_ID=180, label=1, output_node=79, voltage=0.003100597532466054
    time_span=0.0001s, test_ID=180, label=1, output_node=80, voltage=0.0038207173347473145
    time_span=0.0001s, test_ID=180, label=1, output_node=81, voltage=0.0005458167870528996
    time_span=0.0001s, test_ID=180, label=1, output_node=82, voltage=0.001656374428421259
    time_span=0.0001s, test_ID=180, label=1, output_node=83, voltage=0.0042161354795098305
    time_span=0.0001s, test_ID=180, label=1, output_node=84, voltage=0.002466135658323765
    time_span=0.0001s, test_ID=180, label=1, output_node=85, voltage=0.005720119457691908
    time_span=0.0001s, test_ID=180, label=1, output_node=86, voltage=0.0044183265417814255
    time_span=0.0001s, test_ID=180, label=1, output_node=87, voltage=0.002860557520762086
    time_span=0.0001s, test_ID=180, label=1, output_node=88, voltage=0.0014472113689407706
    time_span=0.0001s, test_ID=180, label=1, output_node=89, voltage=0.00440239068120718
    time_span=0.0001s, test_ID=180, label=1, output_node=90, voltage=0.000887450238224119
    time_span=0.0001s, test_ID=180, label=1, output_node=91, voltage=0.003822709433734417
    time_span=0.0001s, test_ID=180, label=1, output_node=92, voltage=0.0022659364622086287
    time_span=0.0001s, test_ID=180, label=1, output_node=93, voltage=0.0017340637277811766
    time_span=0.0001s, test_ID=180, label=1, output_node=94, voltage=0.0018017928814515471
    time_span=0.0001s, test_ID=180, label=1, output_node=95, voltage=0.005429283250123262
    time_span=0.0001s, test_ID=180, label=1, output_node=96, voltage=0.0017410358414053917
    time_span=0.0001s, test_ID=180, label=1, output_node=97, voltage=0.0038914342876523733
    time_span=0.0001s, test_ID=180, label=1, output_node=98, voltage=0.003668326884508133
    time_span=0.0001s, test_ID=180, label=1, output_node=99, voltage=0.00572211155667901
    time_span=0.0001s, test_ID=180, label=1, output_node=sum, voltage=0.011390439234673977
    Time consumed for 1 sample = 1214.491173505783 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '180'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)
    C:\Users\Logan\Anaconda3\lib\site-packages\pandas\io\pytables.py:556: PerformanceWarning:
    your performance may suffer as PyTables will pickle object types that it cannot
    map directly to c-types [inferred_type->mixed-integer,key->axis1_level0] [items->None]

      self.put(key, value)
    C:\Users\Logan\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py:3418: PerformanceWarning:
    your performance may suffer as PyTables will pickle object types that it cannot
    map directly to c-types [inferred_type->floating,key->block0_values] [items->Int64Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
                ...
                 994,  995,  996,  997,  998,  999, 1000, 1001, 1002, 1003],
               dtype='int64', length=1004)]

      exec(code_obj, self.user_global_ns, self.user_ns)

    time_span=0.0001s, test_ID=181, label=8, output_node=bkg, voltage=-0.004434262402355671
    time_span=0.0001s, test_ID=181, label=8, output_node=0, voltage=0.02280876412987709
    time_span=0.0001s, test_ID=181, label=8, output_node=1, voltage=0.01699701137840748
    time_span=0.0001s, test_ID=181, label=8, output_node=2, voltage=0.02129681222140789
    time_span=0.0001s, test_ID=181, label=8, output_node=3, voltage=0.015394422225654125
    time_span=0.0001s, test_ID=181, label=8, output_node=4, voltage=0.01727191172540188
    time_span=0.0001s, test_ID=181, label=8, output_node=5, voltage=0.01662250980734825
    time_span=0.0001s, test_ID=181, label=8, output_node=6, voltage=0.018840637058019638
    time_span=0.0001s, test_ID=181, label=8, output_node=7, voltage=0.02551095560193062
    time_span=0.0001s, test_ID=181, label=8, output_node=8, voltage=0.020379481837153435
    time_span=0.0001s, test_ID=181, label=8, output_node=9, voltage=0.01432669349014759
    time_span=0.0001s, test_ID=181, label=8, output_node=10, voltage=0.015709163621068
    time_span=0.0001s, test_ID=181, label=8, output_node=11, voltage=0.014536852948367596
    time_span=0.0001s, test_ID=181, label=8, output_node=12, voltage=0.015119521878659725
    time_span=0.0001s, test_ID=181, label=8, output_node=13, voltage=0.016658367589116096
    time_span=0.0001s, test_ID=181, label=8, output_node=14, voltage=0.015909362584352493
    time_span=0.0001s, test_ID=181, label=8, output_node=15, voltage=0.015084661543369293
    time_span=0.0001s, test_ID=181, label=8, output_node=16, voltage=0.0160507969558239
    time_span=0.0001s, test_ID=181, label=8, output_node=17, voltage=0.016295816749334335
    time_span=0.0001s, test_ID=181, label=8, output_node=18, voltage=0.02015637420117855
    time_span=0.0001s, test_ID=181, label=8, output_node=19, voltage=0.015971114858984947
    time_span=0.0001s, test_ID=181, label=8, output_node=20, voltage=0.014272908680140972
    time_span=0.0001s, test_ID=181, label=8, output_node=21, voltage=0.024211155250668526
    time_span=0.0001s, test_ID=181, label=8, output_node=22, voltage=0.01788545958697796
    time_span=0.0001s, test_ID=181, label=8, output_node=23, voltage=0.015173305757343769
    time_span=0.0001s, test_ID=181, label=8, output_node=24, voltage=0.01564442366361618
    time_span=0.0001s, test_ID=181, label=8, output_node=25, voltage=0.015564740635454655
    time_span=0.0001s, test_ID=181, label=8, output_node=26, voltage=0.01583864539861679
    time_span=0.0001s, test_ID=181, label=8, output_node=27, voltage=0.019144423305988312
    time_span=0.0001s, test_ID=181, label=8, output_node=28, voltage=0.020345615223050117
    time_span=0.0001s, test_ID=181, label=8, output_node=29, voltage=0.01663247123360634
    time_span=0.0001s, test_ID=181, label=8, output_node=30, voltage=0.013952190987765789
    time_span=0.0001s, test_ID=181, label=8, output_node=31, voltage=0.01694721169769764
    time_span=0.0001s, test_ID=181, label=8, output_node=32, voltage=0.017775896936655045
    time_span=0.0001s, test_ID=181, label=8, output_node=33, voltage=0.01699502021074295
    time_span=0.0001s, test_ID=181, label=8, output_node=34, voltage=0.017147410660982132
    time_span=0.0001s, test_ID=181, label=8, output_node=35, voltage=0.0144721120595932
    time_span=0.0001s, test_ID=181, label=8, output_node=36, voltage=0.013068725354969501
    time_span=0.0001s, test_ID=181, label=8, output_node=37, voltage=0.019708165898919106
    time_span=0.0001s, test_ID=181, label=8, output_node=38, voltage=0.019968127831816673
    time_span=0.0001s, test_ID=181, label=8, output_node=39, voltage=0.02056972123682499
    time_span=0.0001s, test_ID=181, label=8, output_node=40, voltage=0.018500996753573418
    time_span=0.0001s, test_ID=181, label=8, output_node=41, voltage=0.01959860511124134
    time_span=0.0001s, test_ID=181, label=8, output_node=42, voltage=0.014891434460878372
    time_span=0.0001s, test_ID=181, label=8, output_node=43, voltage=0.021117528900504112
    time_span=0.0001s, test_ID=181, label=8, output_node=44, voltage=0.011661353521049023
    time_span=0.0001s, test_ID=181, label=8, output_node=45, voltage=0.020346615463495255
    time_span=0.0001s, test_ID=181, label=8, output_node=46, voltage=0.014136453159153461
    time_span=0.0001s, test_ID=181, label=8, output_node=47, voltage=0.018787847831845284
    time_span=0.0001s, test_ID=181, label=8, output_node=48, voltage=0.015412351116538048
    time_span=0.0001s, test_ID=181, label=8, output_node=49, voltage=0.01545916311442852
    time_span=0.0001s, test_ID=181, label=8, output_node=50, voltage=0.016530876979231834
    time_span=0.0001s, test_ID=181, label=8, output_node=51, voltage=0.018521912395954132
    time_span=0.0001s, test_ID=181, label=8, output_node=52, voltage=0.011811751872301102
    time_span=0.0001s, test_ID=181, label=8, output_node=53, voltage=0.014312748797237873
    time_span=0.0001s, test_ID=181, label=8, output_node=54, voltage=0.006342629436403513
    time_span=0.0001s, test_ID=181, label=8, output_node=55, voltage=0.02032768912613392
    time_span=0.0001s, test_ID=181, label=8, output_node=56, voltage=0.014687251299619675
    time_span=0.0001s, test_ID=181, label=8, output_node=57, voltage=0.021559759974479675
    time_span=0.0001s, test_ID=181, label=8, output_node=58, voltage=0.015504981391131878
    time_span=0.0001s, test_ID=181, label=8, output_node=59, voltage=0.013194222934544086
    time_span=0.0001s, test_ID=181, label=8, output_node=60, voltage=0.012528885155916214
    time_span=0.0001s, test_ID=181, label=8, output_node=61, voltage=0.01655976101756096
    time_span=0.0001s, test_ID=181, label=8, output_node=62, voltage=0.020963149145245552
    time_span=0.0001s, test_ID=181, label=8, output_node=63, voltage=0.017466137185692787
    time_span=0.0001s, test_ID=181, label=8, output_node=64, voltage=0.02006075531244278
    time_span=0.0001s, test_ID=181, label=8, output_node=65, voltage=0.021043824031949043
    time_span=0.0001s, test_ID=181, label=8, output_node=66, voltage=0.016141433268785477
    time_span=0.0001s, test_ID=181, label=8, output_node=67, voltage=0.01710757054388523
    time_span=0.0001s, test_ID=181, label=8, output_node=68, voltage=0.018324701115489006
    time_span=0.0001s, test_ID=181, label=8, output_node=69, voltage=0.01896812580525875
    time_span=0.0001s, test_ID=181, label=8, output_node=70, voltage=0.011739043518900871
    time_span=0.0001s, test_ID=181, label=8, output_node=71, voltage=0.01837848499417305
    time_span=0.0001s, test_ID=181, label=8, output_node=72, voltage=0.013200199231505394
    time_span=0.0001s, test_ID=181, label=8, output_node=73, voltage=0.015395416878163815
    time_span=0.0001s, test_ID=181, label=8, output_node=74, voltage=0.012935258448123932
    time_span=0.0001s, test_ID=181, label=8, output_node=75, voltage=0.018843626603484154
    time_span=0.0001s, test_ID=181, label=8, output_node=76, voltage=0.019134460017085075
    time_span=0.0001s, test_ID=181, label=8, output_node=77, voltage=0.011414341628551483
    time_span=0.0001s, test_ID=181, label=8, output_node=78, voltage=0.01473506074398756
    time_span=0.0001s, test_ID=181, label=8, output_node=79, voltage=0.015302789397537708
    time_span=0.0001s, test_ID=181, label=8, output_node=80, voltage=0.012723107822239399
    time_span=0.0001s, test_ID=181, label=8, output_node=81, voltage=0.013916334137320518
    time_span=0.0001s, test_ID=181, label=8, output_node=82, voltage=0.013371513225138187
    time_span=0.0001s, test_ID=181, label=8, output_node=83, voltage=0.012015935964882374
    time_span=0.0001s, test_ID=181, label=8, output_node=84, voltage=0.018212150782346725
    time_span=0.0001s, test_ID=181, label=8, output_node=85, voltage=0.013027888722717762
    time_span=0.0001s, test_ID=181, label=8, output_node=86, voltage=0.015540836378932
    time_span=0.0001s, test_ID=181, label=8, output_node=87, voltage=0.01703685149550438
    time_span=0.0001s, test_ID=181, label=8, output_node=88, voltage=0.013571713119745255
    time_span=0.0001s, test_ID=181, label=8, output_node=89, voltage=0.019707171246409416
    time_span=0.0001s, test_ID=181, label=8, output_node=90, voltage=0.009450200013816357
    time_span=0.0001s, test_ID=181, label=8, output_node=91, voltage=0.01563645340502262
    time_span=0.0001s, test_ID=181, label=8, output_node=92, voltage=0.018066732212901115
    time_span=0.0001s, test_ID=181, label=8, output_node=93, voltage=0.009545816108584404
    time_span=0.0001s, test_ID=181, label=8, output_node=94, voltage=0.018130477517843246
    time_span=0.0001s, test_ID=181, label=8, output_node=95, voltage=0.01662250980734825
    time_span=0.0001s, test_ID=181, label=8, output_node=96, voltage=0.018154384568333626
    time_span=0.0001s, test_ID=181, label=8, output_node=97, voltage=0.015972111374139786
    time_span=0.0001s, test_ID=181, label=8, output_node=98, voltage=0.015167329460382462
    time_span=0.0001s, test_ID=181, label=8, output_node=99, voltage=0.016659362241625786
    time_span=0.0001s, test_ID=181, label=8, output_node=sum, voltage=0.04042031988501549
    Time consumed for 1 sample = 1206.739015340805 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '181'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=182, label=5, output_node=bkg, voltage=-0.006096614059060812
    time_span=0.0001s, test_ID=182, label=5, output_node=0, voltage=0.004719123709946871
    time_span=0.0001s, test_ID=182, label=5, output_node=1, voltage=0.008810756728053093
    time_span=0.0001s, test_ID=182, label=5, output_node=2, voltage=0.01017529796808958
    time_span=0.0001s, test_ID=182, label=5, output_node=3, voltage=0.007649402599781752
    time_span=0.0001s, test_ID=182, label=5, output_node=4, voltage=0.0047749001532793045
    time_span=0.0001s, test_ID=182, label=5, output_node=5, voltage=0.008591634221374989
    time_span=0.0001s, test_ID=182, label=5, output_node=6, voltage=0.010847608558833599
    time_span=0.0001s, test_ID=182, label=5, output_node=7, voltage=0.008099601604044437
    time_span=0.0001s, test_ID=182, label=5, output_node=8, voltage=0.0030926296021789312
    time_span=0.0001s, test_ID=182, label=5, output_node=9, voltage=0.0031782870646566153
    time_span=0.0001s, test_ID=182, label=5, output_node=10, voltage=0.005282868631184101
    time_span=0.0001s, test_ID=182, label=5, output_node=11, voltage=0.004958167672157288
    time_span=0.0001s, test_ID=182, label=5, output_node=12, voltage=0.0024183266796171665
    time_span=0.0001s, test_ID=182, label=5, output_node=13, voltage=0.0035647412296384573
    time_span=0.0001s, test_ID=182, label=5, output_node=14, voltage=0.008412349969148636
    time_span=0.0001s, test_ID=182, label=5, output_node=15, voltage=0.0031623507384210825
    time_span=0.0001s, test_ID=182, label=5, output_node=16, voltage=0.008528884500265121
    time_span=0.0001s, test_ID=182, label=5, output_node=17, voltage=0.006970119196921587
    time_span=0.0001s, test_ID=182, label=5, output_node=18, voltage=0.004450199194252491
    time_span=0.0001s, test_ID=182, label=5, output_node=19, voltage=0.008601592853665352
    time_span=0.0001s, test_ID=182, label=5, output_node=20, voltage=0.006323704961687326
    time_span=0.0001s, test_ID=182, label=5, output_node=21, voltage=0.0029611557256430387
    time_span=0.0001s, test_ID=182, label=5, output_node=22, voltage=0.010827689431607723
    time_span=0.0001s, test_ID=182, label=5, output_node=23, voltage=0.011692231521010399
    time_span=0.0001s, test_ID=182, label=5, output_node=24, voltage=0.006861553527414799
    time_span=0.0001s, test_ID=182, label=5, output_node=25, voltage=0.011474103666841984
    time_span=0.0001s, test_ID=182, label=5, output_node=26, voltage=0.006966135464608669
    time_span=0.0001s, test_ID=182, label=5, output_node=27, voltage=0.005968127399682999
    time_span=0.0001s, test_ID=182, label=5, output_node=28, voltage=0.0027908366173505783
    time_span=0.0001s, test_ID=182, label=5, output_node=29, voltage=0.006325697060674429
    time_span=0.0001s, test_ID=182, label=5, output_node=30, voltage=0.0040946220979094505
    time_span=0.0001s, test_ID=182, label=5, output_node=31, voltage=0.0015667327679693699
    time_span=0.0001s, test_ID=182, label=5, output_node=32, voltage=0.006126494146883488
    time_span=0.0001s, test_ID=182, label=5, output_node=33, voltage=0.003690239042043686
    time_span=0.0001s, test_ID=182, label=5, output_node=34, voltage=0.00309163355268538
    time_span=0.0001s, test_ID=182, label=5, output_node=35, voltage=0.008428286761045456
    time_span=0.0001s, test_ID=182, label=5, output_node=36, voltage=0.007672310806810856
    time_span=0.0001s, test_ID=182, label=5, output_node=37, voltage=0.007942231371998787
    time_span=0.0001s, test_ID=182, label=5, output_node=38, voltage=0.004529880825430155
    time_span=0.0001s, test_ID=182, label=5, output_node=39, voltage=0.008083665743470192
    time_span=0.0001s, test_ID=182, label=5, output_node=40, voltage=0.0035707170609384775
    time_span=0.0001s, test_ID=182, label=5, output_node=41, voltage=0.0037749004550278187
    time_span=0.0001s, test_ID=182, label=5, output_node=42, voltage=0.011343625374138355
    time_span=0.0001s, test_ID=182, label=5, output_node=43, voltage=0.007602589670568705
    time_span=0.0001s, test_ID=182, label=5, output_node=44, voltage=0.005625497549772263
    time_span=0.0001s, test_ID=182, label=5, output_node=45, voltage=0.006852589547634125
    time_span=0.0001s, test_ID=182, label=5, output_node=46, voltage=0.00727490009739995
    time_span=0.0001s, test_ID=182, label=5, output_node=47, voltage=0.009412350133061409
    time_span=0.0001s, test_ID=182, label=5, output_node=48, voltage=0.0031802786979824305
    time_span=0.0001s, test_ID=182, label=5, output_node=49, voltage=0.0064780875109136105
    time_span=0.0001s, test_ID=182, label=5, output_node=50, voltage=0.011647410690784454
    time_span=0.0001s, test_ID=182, label=5, output_node=51, voltage=0.005651394370943308
    time_span=0.0001s, test_ID=182, label=5, output_node=52, voltage=0.005989043973386288
    time_span=0.0001s, test_ID=182, label=5, output_node=53, voltage=0.007916335016489029
    time_span=0.0001s, test_ID=182, label=5, output_node=54, voltage=0.010786852799355984
    time_span=0.0001s, test_ID=182, label=5, output_node=55, voltage=0.01134760957211256
    time_span=0.0001s, test_ID=182, label=5, output_node=56, voltage=0.009288844652473927
    time_span=0.0001s, test_ID=182, label=5, output_node=57, voltage=0.008777888491749763
    time_span=0.0001s, test_ID=182, label=5, output_node=58, voltage=0.005234064068645239
    time_span=0.0001s, test_ID=182, label=5, output_node=59, voltage=0.006285856943577528
    time_span=0.0001s, test_ID=182, label=5, output_node=60, voltage=0.00776593666523695
    time_span=0.0001s, test_ID=182, label=5, output_node=61, voltage=0.0011225100606679916
    time_span=0.0001s, test_ID=182, label=5, output_node=62, voltage=0.008430279791355133
    time_span=0.0001s, test_ID=182, label=5, output_node=63, voltage=0.0088167330250144
    time_span=0.0001s, test_ID=182, label=5, output_node=64, voltage=0.003785856533795595
    time_span=0.0001s, test_ID=182, label=5, output_node=65, voltage=0.00798904336988926
    time_span=0.0001s, test_ID=182, label=5, output_node=66, voltage=0.009710160084068775
    time_span=0.0001s, test_ID=182, label=5, output_node=67, voltage=0.00674701202660799
    time_span=0.0001s, test_ID=182, label=5, output_node=68, voltage=0.0065458170138299465
    time_span=0.0001s, test_ID=182, label=5, output_node=69, voltage=0.007405378390103579
    time_span=0.0001s, test_ID=182, label=5, output_node=70, voltage=0.0035398404579609632
    time_span=0.0001s, test_ID=182, label=5, output_node=71, voltage=0.011494024656713009
    time_span=0.0001s, test_ID=182, label=5, output_node=72, voltage=0.00787549838423729
    time_span=0.0001s, test_ID=182, label=5, output_node=73, voltage=0.005865537561476231
    time_span=0.0001s, test_ID=182, label=5, output_node=74, voltage=0.007050797343254089
    time_span=0.0001s, test_ID=182, label=5, output_node=75, voltage=0.008234064094722271
    time_span=0.0001s, test_ID=182, label=5, output_node=76, voltage=0.0026404382660984993
    time_span=0.0001s, test_ID=182, label=5, output_node=77, voltage=0.0037320717237889767
    time_span=0.0001s, test_ID=182, label=5, output_node=78, voltage=0.008495018817484379
    time_span=0.0001s, test_ID=182, label=5, output_node=79, voltage=0.008551793172955513
    time_span=0.0001s, test_ID=182, label=5, output_node=80, voltage=0.00638346653431654
    time_span=0.0001s, test_ID=182, label=5, output_node=81, voltage=0.006555777043104172
    time_span=0.0001s, test_ID=182, label=5, output_node=82, voltage=0.0061384462751448154
    time_span=0.0001s, test_ID=182, label=5, output_node=83, voltage=0.00551593629643321
    time_span=0.0001s, test_ID=182, label=5, output_node=84, voltage=0.005062749143689871
    time_span=0.0001s, test_ID=182, label=5, output_node=85, voltage=0.007630478125065565
    time_span=0.0001s, test_ID=182, label=5, output_node=86, voltage=0.005811753217130899
    time_span=0.0001s, test_ID=182, label=5, output_node=87, voltage=0.008018924854695797
    time_span=0.0001s, test_ID=182, label=5, output_node=88, voltage=0.006142430007457733
    time_span=0.0001s, test_ID=182, label=5, output_node=89, voltage=0.004118526354432106
    time_span=0.0001s, test_ID=182, label=5, output_node=90, voltage=0.00666434271261096
    time_span=0.0001s, test_ID=182, label=5, output_node=91, voltage=0.007506972178816795
    time_span=0.0001s, test_ID=182, label=5, output_node=92, voltage=0.0070986058562994
    time_span=0.0001s, test_ID=182, label=5, output_node=93, voltage=0.012670318596065044
    time_span=0.0001s, test_ID=182, label=5, output_node=94, voltage=0.002921314910054207
    time_span=0.0001s, test_ID=182, label=5, output_node=95, voltage=0.010754979215562344
    time_span=0.0001s, test_ID=182, label=5, output_node=96, voltage=0.003523904597386718
    time_span=0.0001s, test_ID=182, label=5, output_node=97, voltage=0.0049422308802604675
    time_span=0.0001s, test_ID=182, label=5, output_node=98, voltage=0.008129483088850975
    time_span=0.0001s, test_ID=182, label=5, output_node=99, voltage=0.007384462282061577
    time_span=0.0001s, test_ID=182, label=5, output_node=sum, voltage=0.017305776476860046
    Time consumed for 1 sample = 1199.6570105552673 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '182'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=183, label=0, output_node=bkg, voltage=-0.006234063766896725
    time_span=0.0001s, test_ID=183, label=0, output_node=0, voltage=0.019208166748285294
    time_span=0.0001s, test_ID=183, label=0, output_node=1, voltage=0.015600597485899925
    time_span=0.0001s, test_ID=183, label=0, output_node=2, voltage=0.02129681222140789
    time_span=0.0001s, test_ID=183, label=0, output_node=3, voltage=0.023427290841937065
    time_span=0.0001s, test_ID=183, label=0, output_node=4, voltage=0.01571115478873253
    time_span=0.0001s, test_ID=183, label=0, output_node=5, voltage=0.01117729116231203
    time_span=0.0001s, test_ID=183, label=0, output_node=6, voltage=0.024496015161275864
    time_span=0.0001s, test_ID=183, label=0, output_node=7, voltage=0.024035856127738953
    time_span=0.0001s, test_ID=183, label=0, output_node=8, voltage=0.027079680934548378
    time_span=0.0001s, test_ID=183, label=0, output_node=9, voltage=0.021243026480078697
    time_span=0.0001s, test_ID=183, label=0, output_node=10, voltage=0.015513943508267403
    time_span=0.0001s, test_ID=183, label=0, output_node=11, voltage=0.010017928667366505
    time_span=0.0001s, test_ID=183, label=0, output_node=12, voltage=0.022542830556631088
    time_span=0.0001s, test_ID=183, label=0, output_node=13, voltage=0.025575699284672737
    time_span=0.0001s, test_ID=183, label=0, output_node=14, voltage=0.017258962616324425
    time_span=0.0001s, test_ID=183, label=0, output_node=15, voltage=0.022118525579571724
    time_span=0.0001s, test_ID=183, label=0, output_node=16, voltage=0.018043825402855873
    time_span=0.0001s, test_ID=183, label=0, output_node=17, voltage=0.014675297774374485
    time_span=0.0001s, test_ID=183, label=0, output_node=18, voltage=0.02347211167216301
    time_span=0.0001s, test_ID=183, label=0, output_node=19, voltage=0.01980876550078392
    time_span=0.0001s, test_ID=183, label=0, output_node=20, voltage=0.027679283171892166
    time_span=0.0001s, test_ID=183, label=0, output_node=21, voltage=0.01803785003721714
    time_span=0.0001s, test_ID=183, label=0, output_node=22, voltage=0.01929083652794361
    time_span=0.0001s, test_ID=183, label=0, output_node=23, voltage=0.021333664655685425
    time_span=0.0001s, test_ID=183, label=0, output_node=24, voltage=0.023119522258639336
    time_span=0.0001s, test_ID=183, label=0, output_node=25, voltage=0.016294822096824646
    time_span=0.0001s, test_ID=183, label=0, output_node=26, voltage=0.02269521914422512
    time_span=0.0001s, test_ID=183, label=0, output_node=27, voltage=0.01631673239171505
    time_span=0.0001s, test_ID=183, label=0, output_node=28, voltage=0.01637151464819908
    time_span=0.0001s, test_ID=183, label=0, output_node=29, voltage=0.023087650537490845
    time_span=0.0001s, test_ID=183, label=0, output_node=30, voltage=0.021658364683389664
    time_span=0.0001s, test_ID=183, label=0, output_node=31, voltage=0.01730378344655037
    time_span=0.0001s, test_ID=183, label=0, output_node=32, voltage=0.02385059930384159
    time_span=0.0001s, test_ID=183, label=0, output_node=33, voltage=0.024936256930232048
    time_span=0.0001s, test_ID=183, label=0, output_node=34, voltage=0.019018923863768578
    time_span=0.0001s, test_ID=183, label=0, output_node=35, voltage=0.019806774333119392
    time_span=0.0001s, test_ID=183, label=0, output_node=36, voltage=0.01892131380736828
    time_span=0.0001s, test_ID=183, label=0, output_node=37, voltage=0.023281872272491455
    time_span=0.0001s, test_ID=183, label=0, output_node=38, voltage=0.021823706105351448
    time_span=0.0001s, test_ID=183, label=0, output_node=39, voltage=0.0255567729473114
    time_span=0.0001s, test_ID=183, label=0, output_node=40, voltage=0.023070715367794037
    time_span=0.0001s, test_ID=183, label=0, output_node=41, voltage=0.018505975604057312
    time_span=0.0001s, test_ID=183, label=0, output_node=42, voltage=0.016054781153798103
    time_span=0.0001s, test_ID=183, label=0, output_node=43, voltage=0.018714142963290215
    time_span=0.0001s, test_ID=183, label=0, output_node=44, voltage=0.025726094841957092
    time_span=0.0001s, test_ID=183, label=0, output_node=45, voltage=0.022010955959558487
    time_span=0.0001s, test_ID=183, label=0, output_node=46, voltage=0.023937251418828964
    time_span=0.0001s, test_ID=183, label=0, output_node=47, voltage=0.010760956443846226
    time_span=0.0001s, test_ID=183, label=0, output_node=48, voltage=0.019254980608820915
    time_span=0.0001s, test_ID=183, label=0, output_node=49, voltage=0.014666334725916386
    time_span=0.0001s, test_ID=183, label=0, output_node=50, voltage=0.021246017888188362
    time_span=0.0001s, test_ID=183, label=0, output_node=51, voltage=0.020192230120301247
    time_span=0.0001s, test_ID=183, label=0, output_node=52, voltage=0.013585656881332397
    time_span=0.0001s, test_ID=183, label=0, output_node=53, voltage=0.021793825551867485
    time_span=0.0001s, test_ID=183, label=0, output_node=54, voltage=0.014511952176690102
    time_span=0.0001s, test_ID=183, label=0, output_node=55, voltage=0.021827690303325653
    time_span=0.0001s, test_ID=183, label=0, output_node=56, voltage=0.028093624860048294
    time_span=0.0001s, test_ID=183, label=0, output_node=57, voltage=0.02397310733795166
    time_span=0.0001s, test_ID=183, label=0, output_node=58, voltage=0.018682271242141724
    time_span=0.0001s, test_ID=183, label=0, output_node=59, voltage=0.01571812853217125
    time_span=0.0001s, test_ID=183, label=0, output_node=60, voltage=0.019528886303305626
    time_span=0.0001s, test_ID=183, label=0, output_node=61, voltage=0.015036853961646557
    time_span=0.0001s, test_ID=183, label=0, output_node=62, voltage=0.016428286209702492
    time_span=0.0001s, test_ID=183, label=0, output_node=63, voltage=0.019255977123975754
    time_span=0.0001s, test_ID=183, label=0, output_node=64, voltage=0.017791831865906715
    time_span=0.0001s, test_ID=183, label=0, output_node=65, voltage=0.02139342576265335
    time_span=0.0001s, test_ID=183, label=0, output_node=66, voltage=0.020258964970707893
    time_span=0.0001s, test_ID=183, label=0, output_node=67, voltage=0.01869422383606434
    time_span=0.0001s, test_ID=183, label=0, output_node=68, voltage=0.019804779440164566
    time_span=0.0001s, test_ID=183, label=0, output_node=69, voltage=0.019806772470474243
    time_span=0.0001s, test_ID=183, label=0, output_node=70, voltage=0.0198505986481905
    time_span=0.0001s, test_ID=183, label=0, output_node=71, voltage=0.02239741012454033
    time_span=0.0001s, test_ID=183, label=0, output_node=72, voltage=0.019804781302809715
    time_span=0.0001s, test_ID=183, label=0, output_node=73, voltage=0.022539841011166573
    time_span=0.0001s, test_ID=183, label=0, output_node=74, voltage=0.01874103583395481
    time_span=0.0001s, test_ID=183, label=0, output_node=75, voltage=0.017122508957982063
    time_span=0.0001s, test_ID=183, label=0, output_node=76, voltage=0.026274900883436203
    time_span=0.0001s, test_ID=183, label=0, output_node=77, voltage=0.01930876635015011
    time_span=0.0001s, test_ID=183, label=0, output_node=78, voltage=0.022459162399172783
    time_span=0.0001s, test_ID=183, label=0, output_node=79, voltage=0.021059760823845863
    time_span=0.0001s, test_ID=183, label=0, output_node=80, voltage=0.01884561963379383
    time_span=0.0001s, test_ID=183, label=0, output_node=81, voltage=0.023829681798815727
    time_span=0.0001s, test_ID=183, label=0, output_node=82, voltage=0.02009960263967514
    time_span=0.0001s, test_ID=183, label=0, output_node=83, voltage=0.020312748849391937
    time_span=0.0001s, test_ID=183, label=0, output_node=84, voltage=0.02401195466518402
    time_span=0.0001s, test_ID=183, label=0, output_node=85, voltage=0.01657470129430294
    time_span=0.0001s, test_ID=183, label=0, output_node=86, voltage=0.01871015876531601
    time_span=0.0001s, test_ID=183, label=0, output_node=87, voltage=0.018051793798804283
    time_span=0.0001s, test_ID=183, label=0, output_node=88, voltage=0.01933167316019535
    time_span=0.0001s, test_ID=183, label=0, output_node=89, voltage=0.019417328760027885
    time_span=0.0001s, test_ID=183, label=0, output_node=90, voltage=0.023313743993639946
    time_span=0.0001s, test_ID=183, label=0, output_node=91, voltage=0.02736155316233635
    time_span=0.0001s, test_ID=183, label=0, output_node=92, voltage=0.02742430381476879
    time_span=0.0001s, test_ID=183, label=0, output_node=93, voltage=0.02517629601061344
    time_span=0.0001s, test_ID=183, label=0, output_node=94, voltage=0.0236324705183506
    time_span=0.0001s, test_ID=183, label=0, output_node=95, voltage=0.01942828670144081
    time_span=0.0001s, test_ID=183, label=0, output_node=96, voltage=0.010446215979754925
    time_span=0.0001s, test_ID=183, label=0, output_node=97, voltage=0.022455180063843727
    time_span=0.0001s, test_ID=183, label=0, output_node=98, voltage=0.021250996738672256
    time_span=0.0001s, test_ID=183, label=0, output_node=99, voltage=0.020621513947844505
    time_span=0.0001s, test_ID=183, label=0, output_node=sum, voltage=0.05015139654278755
    Time consumed for 1 sample = 1209.9009895324707 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '183'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=184, label=8, output_node=bkg, voltage=-0.0044272905215620995
    time_span=0.0001s, test_ID=184, label=8, output_node=0, voltage=0.015430279076099396
    time_span=0.0001s, test_ID=184, label=8, output_node=1, voltage=0.012886454351246357
    time_span=0.0001s, test_ID=184, label=8, output_node=2, voltage=0.013463147915899754
    time_span=0.0001s, test_ID=184, label=8, output_node=3, voltage=0.013808764517307281
    time_span=0.0001s, test_ID=184, label=8, output_node=4, voltage=0.011517927050590515
    time_span=0.0001s, test_ID=184, label=8, output_node=5, voltage=0.010062748566269875
    time_span=0.0001s, test_ID=184, label=8, output_node=6, voltage=0.011142430827021599
    time_span=0.0001s, test_ID=184, label=8, output_node=7, voltage=0.014215139672160149
    time_span=0.0001s, test_ID=184, label=8, output_node=8, voltage=0.014703188091516495
    time_span=0.0001s, test_ID=184, label=8, output_node=9, voltage=0.01184462197124958
    time_span=0.0001s, test_ID=184, label=8, output_node=10, voltage=0.012306773103773594
    time_span=0.0001s, test_ID=184, label=8, output_node=11, voltage=0.012719123624265194
    time_span=0.0001s, test_ID=184, label=8, output_node=12, voltage=0.007255976088345051
    time_span=0.0001s, test_ID=184, label=8, output_node=13, voltage=0.01150597631931305
    time_span=0.0001s, test_ID=184, label=8, output_node=14, voltage=0.009895417839288712
    time_span=0.0001s, test_ID=184, label=8, output_node=15, voltage=0.011515936814248562
    time_span=0.0001s, test_ID=184, label=8, output_node=16, voltage=0.010027889162302017
    time_span=0.0001s, test_ID=184, label=8, output_node=17, voltage=0.01482868567109108
    time_span=0.0001s, test_ID=184, label=8, output_node=18, voltage=0.014733067713677883
    time_span=0.0001s, test_ID=184, label=8, output_node=19, voltage=0.011324700899422169
    time_span=0.0001s, test_ID=184, label=8, output_node=20, voltage=0.015405378304421902
    time_span=0.0001s, test_ID=184, label=8, output_node=21, voltage=0.011311753652989864
    time_span=0.0001s, test_ID=184, label=8, output_node=22, voltage=0.00702191237360239
    time_span=0.0001s, test_ID=184, label=8, output_node=23, voltage=0.012142430059611797
    time_span=0.0001s, test_ID=184, label=8, output_node=24, voltage=0.008033864200115204
    time_span=0.0001s, test_ID=184, label=8, output_node=25, voltage=0.013755976222455502
    time_span=0.0001s, test_ID=184, label=8, output_node=26, voltage=0.010189242660999298
    time_span=0.0001s, test_ID=184, label=8, output_node=27, voltage=0.012021912261843681
    time_span=0.0001s, test_ID=184, label=8, output_node=28, voltage=0.012829681858420372
    time_span=0.0001s, test_ID=184, label=8, output_node=29, voltage=0.013564740307629108
    time_span=0.0001s, test_ID=184, label=8, output_node=30, voltage=0.007958167232573032
    time_span=0.0001s, test_ID=184, label=8, output_node=31, voltage=0.013788844458758831
    time_span=0.0001s, test_ID=184, label=8, output_node=32, voltage=0.015975099056959152
    time_span=0.0001s, test_ID=184, label=8, output_node=33, voltage=0.014455179683864117
    time_span=0.0001s, test_ID=184, label=8, output_node=34, voltage=0.013833665288984776
    time_span=0.0001s, test_ID=184, label=8, output_node=35, voltage=0.01291633490473032
    time_span=0.0001s, test_ID=184, label=8, output_node=36, voltage=0.01409262977540493
    time_span=0.0001s, test_ID=184, label=8, output_node=37, voltage=0.015463147312402725
    time_span=0.0001s, test_ID=184, label=8, output_node=38, voltage=0.015487052500247955
    time_span=0.0001s, test_ID=184, label=8, output_node=39, voltage=0.019149402156472206
    time_span=0.0001s, test_ID=184, label=8, output_node=40, voltage=0.008875497616827488
    time_span=0.0001s, test_ID=184, label=8, output_node=41, voltage=0.013602589257061481
    time_span=0.0001s, test_ID=184, label=8, output_node=42, voltage=0.010766931809484959
    time_span=0.0001s, test_ID=184, label=8, output_node=43, voltage=0.011043825186789036
    time_span=0.0001s, test_ID=184, label=8, output_node=44, voltage=0.017962152138352394
    time_span=0.0001s, test_ID=184, label=8, output_node=45, voltage=0.014405378140509129
    time_span=0.0001s, test_ID=184, label=8, output_node=46, voltage=0.011201195418834686
    time_span=0.0001s, test_ID=184, label=8, output_node=47, voltage=0.014701195061206818
    time_span=0.0001s, test_ID=184, label=8, output_node=48, voltage=0.009844622574746609
    time_span=0.0001s, test_ID=184, label=8, output_node=49, voltage=0.01240737084299326
    time_span=0.0001s, test_ID=184, label=8, output_node=50, voltage=0.011819722130894661
    time_span=0.0001s, test_ID=184, label=8, output_node=51, voltage=0.012395419180393219
    time_span=0.0001s, test_ID=184, label=8, output_node=52, voltage=0.008245020173490047
    time_span=0.0001s, test_ID=184, label=8, output_node=53, voltage=0.01217729039490223
    time_span=0.0001s, test_ID=184, label=8, output_node=54, voltage=0.010913346894085407
    time_span=0.0001s, test_ID=184, label=8, output_node=55, voltage=0.011126493103802204
    time_span=0.0001s, test_ID=184, label=8, output_node=56, voltage=0.011265937238931656
    time_span=0.0001s, test_ID=184, label=8, output_node=57, voltage=0.01682569645345211
    time_span=0.0001s, test_ID=184, label=8, output_node=58, voltage=0.014196216128766537
    time_span=0.0001s, test_ID=184, label=8, output_node=59, voltage=0.010107569396495819
    time_span=0.0001s, test_ID=184, label=8, output_node=60, voltage=0.015331674367189407
    time_span=0.0001s, test_ID=184, label=8, output_node=61, voltage=0.012573705054819584
    time_span=0.0001s, test_ID=184, label=8, output_node=62, voltage=0.013132469728589058
    time_span=0.0001s, test_ID=184, label=8, output_node=63, voltage=0.01285159308463335
    time_span=0.0001s, test_ID=184, label=8, output_node=64, voltage=0.009351593442261219
    time_span=0.0001s, test_ID=184, label=8, output_node=65, voltage=0.016126494854688644
    time_span=0.0001s, test_ID=184, label=8, output_node=66, voltage=0.005387450568377972
    time_span=0.0001s, test_ID=184, label=8, output_node=67, voltage=0.014025895856320858
    time_span=0.0001s, test_ID=184, label=8, output_node=68, voltage=0.01174800843000412
    time_span=0.0001s, test_ID=184, label=8, output_node=69, voltage=0.013728088699281216
    time_span=0.0001s, test_ID=184, label=8, output_node=70, voltage=0.011836654506623745
    time_span=0.0001s, test_ID=184, label=8, output_node=71, voltage=0.01474402379244566
    time_span=0.0001s, test_ID=184, label=8, output_node=72, voltage=0.010715140029788017
    time_span=0.0001s, test_ID=184, label=8, output_node=73, voltage=0.008475100621581078
    time_span=0.0001s, test_ID=184, label=8, output_node=74, voltage=0.0071952189318835735
    time_span=0.0001s, test_ID=184, label=8, output_node=75, voltage=0.01038545835763216
    time_span=0.0001s, test_ID=184, label=8, output_node=76, voltage=0.013366534374654293
    time_span=0.0001s, test_ID=184, label=8, output_node=77, voltage=0.00856573786586523
    time_span=0.0001s, test_ID=184, label=8, output_node=78, voltage=0.006557769142091274
    time_span=0.0001s, test_ID=184, label=8, output_node=79, voltage=0.012864542193710804
    time_span=0.0001s, test_ID=184, label=8, output_node=80, voltage=0.009697210974991322
    time_span=0.0001s, test_ID=184, label=8, output_node=81, voltage=0.012818724848330021
    time_span=0.0001s, test_ID=184, label=8, output_node=82, voltage=0.00950099527835846
    time_span=0.0001s, test_ID=184, label=8, output_node=83, voltage=0.01146912295371294
    time_span=0.0001s, test_ID=184, label=8, output_node=84, voltage=0.010821713134646416
    time_span=0.0001s, test_ID=184, label=8, output_node=85, voltage=0.012214142829179764
    time_span=0.0001s, test_ID=184, label=8, output_node=86, voltage=0.012216134928166866
    time_span=0.0001s, test_ID=184, label=8, output_node=87, voltage=0.0161125510931015
    time_span=0.0001s, test_ID=184, label=8, output_node=88, voltage=0.0074880472384393215
    time_span=0.0001s, test_ID=184, label=8, output_node=89, voltage=0.013647410087287426
    time_span=0.0001s, test_ID=184, label=8, output_node=90, voltage=0.00841235090047121
    time_span=0.0001s, test_ID=184, label=8, output_node=91, voltage=0.011640438809990883
    time_span=0.0001s, test_ID=184, label=8, output_node=92, voltage=0.00889840628951788
    time_span=0.0001s, test_ID=184, label=8, output_node=93, voltage=0.011366533115506172
    time_span=0.0001s, test_ID=184, label=8, output_node=94, voltage=0.00844123587012291
    time_span=0.0001s, test_ID=184, label=8, output_node=95, voltage=0.009283864870667458
    time_span=0.0001s, test_ID=184, label=8, output_node=96, voltage=0.012028884142637253
    time_span=0.0001s, test_ID=184, label=8, output_node=97, voltage=0.012248007580637932
    time_span=0.0001s, test_ID=184, label=8, output_node=98, voltage=0.01064043864607811
    time_span=0.0001s, test_ID=184, label=8, output_node=99, voltage=0.011425299569964409
    time_span=0.0001s, test_ID=184, label=8, output_node=sum, voltage=0.03029482066631317
    Time consumed for 1 sample = 1202.8652820587158 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '184'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=185, label=9, output_node=bkg, voltage=-0.004004979971796274
    time_span=0.0001s, test_ID=185, label=9, output_node=0, voltage=0.008655378594994545
    time_span=0.0001s, test_ID=185, label=9, output_node=1, voltage=0.010108565911650658
    time_span=0.0001s, test_ID=185, label=9, output_node=2, voltage=0.013581673614680767
    time_span=0.0001s, test_ID=185, label=9, output_node=3, voltage=0.009534860961139202
    time_span=0.0001s, test_ID=185, label=9, output_node=4, voltage=0.012226096354424953
    time_span=0.0001s, test_ID=185, label=9, output_node=5, voltage=0.01704282872378826
    time_span=0.0001s, test_ID=185, label=9, output_node=6, voltage=0.00843725074082613
    time_span=0.0001s, test_ID=185, label=9, output_node=7, voltage=0.012183267623186111
    time_span=0.0001s, test_ID=185, label=9, output_node=8, voltage=0.009744022972881794
    time_span=0.0001s, test_ID=185, label=9, output_node=9, voltage=0.01485258899629116
    time_span=0.0001s, test_ID=185, label=9, output_node=10, voltage=0.007047809194773436
    time_span=0.0001s, test_ID=185, label=9, output_node=11, voltage=0.014174303039908409
    time_span=0.0001s, test_ID=185, label=9, output_node=12, voltage=0.010441235266625881
    time_span=0.0001s, test_ID=185, label=9, output_node=13, voltage=0.01057171355932951
    time_span=0.0001s, test_ID=185, label=9, output_node=14, voltage=0.01251195278018713
    time_span=0.0001s, test_ID=185, label=9, output_node=15, voltage=0.012191235087811947
    time_span=0.0001s, test_ID=185, label=9, output_node=16, voltage=0.009799801744520664
    time_span=0.0001s, test_ID=185, label=9, output_node=17, voltage=0.008934262208640575
    time_span=0.0001s, test_ID=185, label=9, output_node=18, voltage=0.011676294729113579
    time_span=0.0001s, test_ID=185, label=9, output_node=19, voltage=0.01123007945716381
    time_span=0.0001s, test_ID=185, label=9, output_node=20, voltage=0.00570816732943058
    time_span=0.0001s, test_ID=185, label=9, output_node=21, voltage=0.008214143104851246
    time_span=0.0001s, test_ID=185, label=9, output_node=22, voltage=0.01452490035444498
    time_span=0.0001s, test_ID=185, label=9, output_node=23, voltage=0.009048804640769958
    time_span=0.0001s, test_ID=185, label=9, output_node=24, voltage=0.011621513403952122
    time_span=0.0001s, test_ID=185, label=9, output_node=25, voltage=0.008767927996814251
    time_span=0.0001s, test_ID=185, label=9, output_node=26, voltage=0.003209163434803486
    time_span=0.0001s, test_ID=185, label=9, output_node=27, voltage=0.007065736688673496
    time_span=0.0001s, test_ID=185, label=9, output_node=28, voltage=0.009195219725370407
    time_span=0.0001s, test_ID=185, label=9, output_node=29, voltage=0.012894422747194767
    time_span=0.0001s, test_ID=185, label=9, output_node=30, voltage=0.011446216143667698
    time_span=0.0001s, test_ID=185, label=9, output_node=31, voltage=0.013888446614146233
    time_span=0.0001s, test_ID=185, label=9, output_node=32, voltage=0.008665339089930058
    time_span=0.0001s, test_ID=185, label=9, output_node=33, voltage=0.010536852292716503
    time_span=0.0001s, test_ID=185, label=9, output_node=34, voltage=0.013411354273557663
    time_span=0.0001s, test_ID=185, label=9, output_node=35, voltage=0.009335656650364399
    time_span=0.0001s, test_ID=185, label=9, output_node=36, voltage=0.009017928503453732
    time_span=0.0001s, test_ID=185, label=9, output_node=37, voltage=0.011073704808950424
    time_span=0.0001s, test_ID=185, label=9, output_node=38, voltage=0.011163346469402313
    time_span=0.0001s, test_ID=185, label=9, output_node=39, voltage=0.009075697511434555
    time_span=0.0001s, test_ID=185, label=9, output_node=40, voltage=0.007395418360829353
    time_span=0.0001s, test_ID=185, label=9, output_node=41, voltage=0.011668327264487743
    time_span=0.0001s, test_ID=185, label=9, output_node=42, voltage=0.010719123296439648
    time_span=0.0001s, test_ID=185, label=9, output_node=43, voltage=0.009751992300152779
    time_span=0.0001s, test_ID=185, label=9, output_node=44, voltage=0.009512947872281075
    time_span=0.0001s, test_ID=185, label=9, output_node=45, voltage=0.012910358607769012
    time_span=0.0001s, test_ID=185, label=9, output_node=46, voltage=0.013382471166551113
    time_span=0.0001s, test_ID=185, label=9, output_node=47, voltage=0.01628486067056656
    time_span=0.0001s, test_ID=185, label=9, output_node=48, voltage=0.0065209162421524525
    time_span=0.0001s, test_ID=185, label=9, output_node=49, voltage=0.009630478918552399
    time_span=0.0001s, test_ID=185, label=9, output_node=50, voltage=0.004329681396484375
    time_span=0.0001s, test_ID=185, label=9, output_node=51, voltage=0.009280877187848091
    time_span=0.0001s, test_ID=185, label=9, output_node=52, voltage=0.009199202992022038
    time_span=0.0001s, test_ID=185, label=9, output_node=53, voltage=0.010610558092594147
    time_span=0.0001s, test_ID=185, label=9, output_node=54, voltage=0.011168327182531357
    time_span=0.0001s, test_ID=185, label=9, output_node=55, voltage=0.011308765038847923
    time_span=0.0001s, test_ID=185, label=9, output_node=56, voltage=0.013196215964853764
    time_span=0.0001s, test_ID=185, label=9, output_node=57, voltage=0.009686254896223545
    time_span=0.0001s, test_ID=185, label=9, output_node=58, voltage=0.008294821716845036
    time_span=0.0001s, test_ID=185, label=9, output_node=59, voltage=0.010030877776443958
    time_span=0.0001s, test_ID=185, label=9, output_node=60, voltage=0.008831674233078957
    time_span=0.0001s, test_ID=185, label=9, output_node=61, voltage=0.006168326362967491
    time_span=0.0001s, test_ID=185, label=9, output_node=62, voltage=0.0092978086322546
    time_span=0.0001s, test_ID=185, label=9, output_node=63, voltage=0.011711155995726585
    time_span=0.0001s, test_ID=185, label=9, output_node=64, voltage=0.0068386453203856945
    time_span=0.0001s, test_ID=185, label=9, output_node=65, voltage=0.009182270616292953
    time_span=0.0001s, test_ID=185, label=9, output_node=66, voltage=0.011273904703557491
    time_span=0.0001s, test_ID=185, label=9, output_node=67, voltage=0.008955178782343864
    time_span=0.0001s, test_ID=185, label=9, output_node=68, voltage=0.012171315029263496
    time_span=0.0001s, test_ID=185, label=9, output_node=69, voltage=0.013305776752531528
    time_span=0.0001s, test_ID=185, label=9, output_node=70, voltage=0.011199203319847584
    time_span=0.0001s, test_ID=185, label=9, output_node=71, voltage=0.01086354535073042
    time_span=0.0001s, test_ID=185, label=9, output_node=72, voltage=0.0071145412512123585
    time_span=0.0001s, test_ID=185, label=9, output_node=73, voltage=0.010245019569993019
    time_span=0.0001s, test_ID=185, label=9, output_node=74, voltage=0.0061254980973899364
    time_span=0.0001s, test_ID=185, label=9, output_node=75, voltage=0.0067649404518306255
    time_span=0.0001s, test_ID=185, label=9, output_node=76, voltage=0.009019920602440834
    time_span=0.0001s, test_ID=185, label=9, output_node=77, voltage=0.011636453680694103
    time_span=0.0001s, test_ID=185, label=9, output_node=78, voltage=0.013339641503989697
    time_span=0.0001s, test_ID=185, label=9, output_node=79, voltage=0.01310557872056961
    time_span=0.0001s, test_ID=185, label=9, output_node=80, voltage=0.009194224141538143
    time_span=0.0001s, test_ID=185, label=9, output_node=81, voltage=0.009607569314539433
    time_span=0.0001s, test_ID=185, label=9, output_node=82, voltage=0.010523904114961624
    time_span=0.0001s, test_ID=185, label=9, output_node=83, voltage=0.011996015906333923
    time_span=0.0001s, test_ID=185, label=9, output_node=84, voltage=0.008408366702497005
    time_span=0.0001s, test_ID=185, label=9, output_node=85, voltage=0.009556773118674755
    time_span=0.0001s, test_ID=185, label=9, output_node=86, voltage=0.011134462431073189
    time_span=0.0001s, test_ID=185, label=9, output_node=87, voltage=0.01157769002020359
    time_span=0.0001s, test_ID=185, label=9, output_node=88, voltage=0.011605578474700451
    time_span=0.0001s, test_ID=185, label=9, output_node=89, voltage=0.012353585101664066
    time_span=0.0001s, test_ID=185, label=9, output_node=90, voltage=0.010096613317728043
    time_span=0.0001s, test_ID=185, label=9, output_node=91, voltage=0.008574701845645905
    time_span=0.0001s, test_ID=185, label=9, output_node=92, voltage=0.012079681269824505
    time_span=0.0001s, test_ID=185, label=9, output_node=93, voltage=0.009461156092584133
    time_span=0.0001s, test_ID=185, label=9, output_node=94, voltage=0.009432271122932434
    time_span=0.0001s, test_ID=185, label=9, output_node=95, voltage=0.010641434229910374
    time_span=0.0001s, test_ID=185, label=9, output_node=96, voltage=0.010489043779671192
    time_span=0.0001s, test_ID=185, label=9, output_node=97, voltage=0.008213147521018982
    time_span=0.0001s, test_ID=185, label=9, output_node=98, voltage=0.00959760881960392
    time_span=0.0001s, test_ID=185, label=9, output_node=99, voltage=0.010546812787652016
    time_span=0.0001s, test_ID=185, label=9, output_node=sum, voltage=0.028708167374134064
    Time consumed for 1 sample = 1201.9383883476257 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '185'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=186, label=2, output_node=bkg, voltage=-0.0028545819222927094
    time_span=0.0001s, test_ID=186, label=2, output_node=0, voltage=0.022045815363526344
    time_span=0.0001s, test_ID=186, label=2, output_node=1, voltage=0.02353685349225998
    time_span=0.0001s, test_ID=186, label=2, output_node=2, voltage=0.01885657198727131
    time_span=0.0001s, test_ID=186, label=2, output_node=3, voltage=0.0298934243619442
    time_span=0.0001s, test_ID=186, label=2, output_node=4, voltage=0.020492032170295715
    time_span=0.0001s, test_ID=186, label=2, output_node=5, voltage=0.015017928555607796
    time_span=0.0001s, test_ID=186, label=2, output_node=6, voltage=0.018998008221387863
    time_span=0.0001s, test_ID=186, label=2, output_node=7, voltage=0.030734064057469368
    time_span=0.0001s, test_ID=186, label=2, output_node=8, voltage=0.022019920870661736
    time_span=0.0001s, test_ID=186, label=2, output_node=9, voltage=0.015673307701945305
    time_span=0.0001s, test_ID=186, label=2, output_node=10, voltage=0.023612551391124725
    time_span=0.0001s, test_ID=186, label=2, output_node=11, voltage=0.030477089807391167
    time_span=0.0001s, test_ID=186, label=2, output_node=12, voltage=0.021285854279994965
    time_span=0.0001s, test_ID=186, label=2, output_node=13, voltage=0.017299801111221313
    time_span=0.0001s, test_ID=186, label=2, output_node=14, voltage=0.017025895416736603
    time_span=0.0001s, test_ID=186, label=2, output_node=15, voltage=0.01730876788496971
    time_span=0.0001s, test_ID=186, label=2, output_node=16, voltage=0.021559759974479675
    time_span=0.0001s, test_ID=186, label=2, output_node=17, voltage=0.01836255006492138
    time_span=0.0001s, test_ID=186, label=2, output_node=18, voltage=0.025546813383698463
    time_span=0.0001s, test_ID=186, label=2, output_node=19, voltage=0.021220119670033455
    time_span=0.0001s, test_ID=186, label=2, output_node=20, voltage=0.023630477488040924
    time_span=0.0001s, test_ID=186, label=2, output_node=21, voltage=0.025052789598703384
    time_span=0.0001s, test_ID=186, label=2, output_node=22, voltage=0.019125496968626976
    time_span=0.0001s, test_ID=186, label=2, output_node=23, voltage=0.02402091771364212
    time_span=0.0001s, test_ID=186, label=2, output_node=24, voltage=0.020507968962192535
    time_span=0.0001s, test_ID=186, label=2, output_node=25, voltage=0.017821714282035828
    time_span=0.0001s, test_ID=186, label=2, output_node=26, voltage=0.02647111564874649
    time_span=0.0001s, test_ID=186, label=2, output_node=27, voltage=0.027162350714206696
    time_span=0.0001s, test_ID=186, label=2, output_node=28, voltage=0.026288846507668495
    time_span=0.0001s, test_ID=186, label=2, output_node=29, voltage=0.02483067661523819
    time_span=0.0001s, test_ID=186, label=2, output_node=30, voltage=0.01904183253645897
    time_span=0.0001s, test_ID=186, label=2, output_node=31, voltage=0.018235059455037117
    time_span=0.0001s, test_ID=186, label=2, output_node=32, voltage=0.028569720685482025
    time_span=0.0001s, test_ID=186, label=2, output_node=33, voltage=0.0222270917147398
    time_span=0.0001s, test_ID=186, label=2, output_node=34, voltage=0.023678286001086235
    time_span=0.0001s, test_ID=186, label=2, output_node=35, voltage=0.023337649181485176
    time_span=0.0001s, test_ID=186, label=2, output_node=36, voltage=0.019774900749325752
    time_span=0.0001s, test_ID=186, label=2, output_node=37, voltage=0.024485059082508087
    time_span=0.0001s, test_ID=186, label=2, output_node=38, voltage=0.020583664998412132
    time_span=0.0001s, test_ID=186, label=2, output_node=39, voltage=0.023548806086182594
    time_span=0.0001s, test_ID=186, label=2, output_node=40, voltage=0.020944222807884216
    time_span=0.0001s, test_ID=186, label=2, output_node=41, voltage=0.021923307329416275
    time_span=0.0001s, test_ID=186, label=2, output_node=42, voltage=0.013699202798306942
    time_span=0.0001s, test_ID=186, label=2, output_node=43, voltage=0.023220119997859
    time_span=0.0001s, test_ID=186, label=2, output_node=44, voltage=0.02641533873975277
    time_span=0.0001s, test_ID=186, label=2, output_node=45, voltage=0.023671315982937813
    time_span=0.0001s, test_ID=186, label=2, output_node=46, voltage=0.01622011885046959
    time_span=0.0001s, test_ID=186, label=2, output_node=47, voltage=0.014782869257032871
    time_span=0.0001s, test_ID=186, label=2, output_node=48, voltage=0.012765935622155666
    time_span=0.0001s, test_ID=186, label=2, output_node=49, voltage=0.020298805087804794
    time_span=0.0001s, test_ID=186, label=2, output_node=50, voltage=0.024599604308605194
    time_span=0.0001s, test_ID=186, label=2, output_node=51, voltage=0.02593127451837063
    time_span=0.0001s, test_ID=186, label=2, output_node=52, voltage=0.022415338084101677
    time_span=0.0001s, test_ID=186, label=2, output_node=53, voltage=0.020838646218180656
    time_span=0.0001s, test_ID=186, label=2, output_node=54, voltage=0.01874900422990322
    time_span=0.0001s, test_ID=186, label=2, output_node=55, voltage=0.01831274852156639
    time_span=0.0001s, test_ID=186, label=2, output_node=56, voltage=0.020134462043642998
    time_span=0.0001s, test_ID=186, label=2, output_node=57, voltage=0.026589641347527504
    time_span=0.0001s, test_ID=186, label=2, output_node=58, voltage=0.022360557690262794
    time_span=0.0001s, test_ID=186, label=2, output_node=59, voltage=0.019649403169751167
    time_span=0.0001s, test_ID=186, label=2, output_node=60, voltage=0.018056774511933327
    time_span=0.0001s, test_ID=186, label=2, output_node=61, voltage=0.02178187109529972
    time_span=0.0001s, test_ID=186, label=2, output_node=62, voltage=0.024213148280978203
    time_span=0.0001s, test_ID=186, label=2, output_node=63, voltage=0.022271912544965744
    time_span=0.0001s, test_ID=186, label=2, output_node=64, voltage=0.021125497296452522
    time_span=0.0001s, test_ID=186, label=2, output_node=65, voltage=0.023425299674272537
    time_span=0.0001s, test_ID=186, label=2, output_node=66, voltage=0.015763944014906883
    time_span=0.0001s, test_ID=186, label=2, output_node=67, voltage=0.02235756814479828
    time_span=0.0001s, test_ID=186, label=2, output_node=68, voltage=0.02607569843530655
    time_span=0.0001s, test_ID=186, label=2, output_node=69, voltage=0.01997111551463604
    time_span=0.0001s, test_ID=186, label=2, output_node=70, voltage=0.019256971776485443
    time_span=0.0001s, test_ID=186, label=2, output_node=71, voltage=0.02357669174671173
    time_span=0.0001s, test_ID=186, label=2, output_node=72, voltage=0.017703186720609665
    time_span=0.0001s, test_ID=186, label=2, output_node=73, voltage=0.015190238133072853
    time_span=0.0001s, test_ID=186, label=2, output_node=74, voltage=0.020167332142591476
    time_span=0.0001s, test_ID=186, label=2, output_node=75, voltage=0.026741037145256996
    time_span=0.0001s, test_ID=186, label=2, output_node=76, voltage=0.02499900385737419
    time_span=0.0001s, test_ID=186, label=2, output_node=77, voltage=0.01663247123360634
    time_span=0.0001s, test_ID=186, label=2, output_node=78, voltage=0.025838647037744522
    time_span=0.0001s, test_ID=186, label=2, output_node=79, voltage=0.022059760987758636
    time_span=0.0001s, test_ID=186, label=2, output_node=80, voltage=0.020790837705135345
    time_span=0.0001s, test_ID=186, label=2, output_node=81, voltage=0.018464144319295883
    time_span=0.0001s, test_ID=186, label=2, output_node=82, voltage=0.0236414335668087
    time_span=0.0001s, test_ID=186, label=2, output_node=83, voltage=0.023849600926041603
    time_span=0.0001s, test_ID=186, label=2, output_node=84, voltage=0.021598605439066887
    time_span=0.0001s, test_ID=186, label=2, output_node=85, voltage=0.023725099861621857
    time_span=0.0001s, test_ID=186, label=2, output_node=86, voltage=0.02192728966474533
    time_span=0.0001s, test_ID=186, label=2, output_node=87, voltage=0.029335658997297287
    time_span=0.0001s, test_ID=186, label=2, output_node=88, voltage=0.015615537762641907
    time_span=0.0001s, test_ID=186, label=2, output_node=89, voltage=0.023020917549729347
    time_span=0.0001s, test_ID=186, label=2, output_node=90, voltage=0.014885458163917065
    time_span=0.0001s, test_ID=186, label=2, output_node=91, voltage=0.025694221258163452
    time_span=0.0001s, test_ID=186, label=2, output_node=92, voltage=0.02258067950606346
    time_span=0.0001s, test_ID=186, label=2, output_node=93, voltage=0.027891432866454124
    time_span=0.0001s, test_ID=186, label=2, output_node=94, voltage=0.024322709068655968
    time_span=0.0001s, test_ID=186, label=2, output_node=95, voltage=0.025189243257045746
    time_span=0.0001s, test_ID=186, label=2, output_node=96, voltage=0.01811055839061737
    time_span=0.0001s, test_ID=186, label=2, output_node=97, voltage=0.029257968068122864
    time_span=0.0001s, test_ID=186, label=2, output_node=98, voltage=0.02577490173280239
    time_span=0.0001s, test_ID=186, label=2, output_node=99, voltage=0.021382469683885574
    time_span=0.0001s, test_ID=186, label=2, output_node=sum, voltage=0.05041234940290451
    Time consumed for 1 sample = 1211.6711883544922 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '186'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=187, label=5, output_node=bkg, voltage=-0.005420319270342588
    time_span=0.0001s, test_ID=187, label=5, output_node=0, voltage=0.010087649337947369
    time_span=0.0001s, test_ID=187, label=5, output_node=1, voltage=0.01634860783815384
    time_span=0.0001s, test_ID=187, label=5, output_node=2, voltage=0.011462152004241943
    time_span=0.0001s, test_ID=187, label=5, output_node=3, voltage=0.0188615545630455
    time_span=0.0001s, test_ID=187, label=5, output_node=4, voltage=0.012315737083554268
    time_span=0.0001s, test_ID=187, label=5, output_node=5, voltage=0.01041334681212902
    time_span=0.0001s, test_ID=187, label=5, output_node=6, voltage=0.010980079881846905
    time_span=0.0001s, test_ID=187, label=5, output_node=7, voltage=0.014554781839251518
    time_span=0.0001s, test_ID=187, label=5, output_node=8, voltage=0.013648406602442265
    time_span=0.0001s, test_ID=187, label=5, output_node=9, voltage=0.011634461581707
    time_span=0.0001s, test_ID=187, label=5, output_node=10, voltage=0.013413346372544765
    time_span=0.0001s, test_ID=187, label=5, output_node=11, voltage=0.018239043653011322
    time_span=0.0001s, test_ID=187, label=5, output_node=12, voltage=0.013858565129339695
    time_span=0.0001s, test_ID=187, label=5, output_node=13, voltage=0.012005976401269436
    time_span=0.0001s, test_ID=187, label=5, output_node=14, voltage=0.014831673353910446
    time_span=0.0001s, test_ID=187, label=5, output_node=15, voltage=0.011069721542298794
    time_span=0.0001s, test_ID=187, label=5, output_node=16, voltage=0.012292828410863876
    time_span=0.0001s, test_ID=187, label=5, output_node=17, voltage=0.010965139605104923
    time_span=0.0001s, test_ID=187, label=5, output_node=18, voltage=0.015147410333156586
    time_span=0.0001s, test_ID=187, label=5, output_node=19, voltage=0.011664343066513538
    time_span=0.0001s, test_ID=187, label=5, output_node=20, voltage=0.01787649653851986
    time_span=0.0001s, test_ID=187, label=5, output_node=21, voltage=0.010950199328362942
    time_span=0.0001s, test_ID=187, label=5, output_node=22, voltage=0.014005976729094982
    time_span=0.0001s, test_ID=187, label=5, output_node=23, voltage=0.014715139754116535
    time_span=0.0001s, test_ID=187, label=5, output_node=24, voltage=0.01592032052576542
    time_span=0.0001s, test_ID=187, label=5, output_node=25, voltage=0.011368525214493275
    time_span=0.0001s, test_ID=187, label=5, output_node=26, voltage=0.0063535855151712894
    time_span=0.0001s, test_ID=187, label=5, output_node=27, voltage=0.015165338292717934
    time_span=0.0001s, test_ID=187, label=5, output_node=28, voltage=0.011965139769017696
    time_span=0.0001s, test_ID=187, label=5, output_node=29, voltage=0.014671314507722855
    time_span=0.0001s, test_ID=187, label=5, output_node=30, voltage=0.014279880560934544
    time_span=0.0001s, test_ID=187, label=5, output_node=31, voltage=0.009548804722726345
    time_span=0.0001s, test_ID=187, label=5, output_node=32, voltage=0.015552788972854614
    time_span=0.0001s, test_ID=187, label=5, output_node=33, voltage=0.012642430141568184
    time_span=0.0001s, test_ID=187, label=5, output_node=34, voltage=0.016182269901037216
    time_span=0.0001s, test_ID=187, label=5, output_node=35, voltage=0.017244024202227592
    time_span=0.0001s, test_ID=187, label=5, output_node=36, voltage=0.01667928136885166
    time_span=0.0001s, test_ID=187, label=5, output_node=37, voltage=0.01576593518257141
    time_span=0.0001s, test_ID=187, label=5, output_node=38, voltage=0.017470119521021843
    time_span=0.0001s, test_ID=187, label=5, output_node=39, voltage=0.015515937469899654
    time_span=0.0001s, test_ID=187, label=5, output_node=40, voltage=0.013863546773791313
    time_span=0.0001s, test_ID=187, label=5, output_node=41, voltage=0.01110856607556343
    time_span=0.0001s, test_ID=187, label=5, output_node=42, voltage=0.009548804722726345
    time_span=0.0001s, test_ID=187, label=5, output_node=43, voltage=0.014923305250704288
    time_span=0.0001s, test_ID=187, label=5, output_node=44, voltage=0.017352590337395668
    time_span=0.0001s, test_ID=187, label=5, output_node=45, voltage=0.018486056476831436
    time_span=0.0001s, test_ID=187, label=5, output_node=46, voltage=0.015278884209692478
    time_span=0.0001s, test_ID=187, label=5, output_node=47, voltage=0.011637450195848942
    time_span=0.0001s, test_ID=187, label=5, output_node=48, voltage=0.008174302987754345
    time_span=0.0001s, test_ID=187, label=5, output_node=49, voltage=0.015484063886106014
    time_span=0.0001s, test_ID=187, label=5, output_node=50, voltage=0.018121514469385147
    time_span=0.0001s, test_ID=187, label=5, output_node=51, voltage=0.01402390468865633
    time_span=0.0001s, test_ID=187, label=5, output_node=52, voltage=0.009824701584875584
    time_span=0.0001s, test_ID=187, label=5, output_node=53, voltage=0.014768924564123154
    time_span=0.0001s, test_ID=187, label=5, output_node=54, voltage=0.011191234923899174
    time_span=0.0001s, test_ID=187, label=5, output_node=55, voltage=0.01349402405321598
    time_span=0.0001s, test_ID=187, label=5, output_node=56, voltage=0.012915338389575481
    time_span=0.0001s, test_ID=187, label=5, output_node=57, voltage=0.020200196653604507
    time_span=0.0001s, test_ID=187, label=5, output_node=58, voltage=0.01887848600745201
    time_span=0.0001s, test_ID=187, label=5, output_node=59, voltage=0.008252988569438457
    time_span=0.0001s, test_ID=187, label=5, output_node=60, voltage=0.011532869189977646
    time_span=0.0001s, test_ID=187, label=5, output_node=61, voltage=0.014913346618413925
    time_span=0.0001s, test_ID=187, label=5, output_node=62, voltage=0.014688247814774513
    time_span=0.0001s, test_ID=187, label=5, output_node=63, voltage=0.01561752986162901
    time_span=0.0001s, test_ID=187, label=5, output_node=64, voltage=0.014637450687587261
    time_span=0.0001s, test_ID=187, label=5, output_node=65, voltage=0.013002987951040268
    time_span=0.0001s, test_ID=187, label=5, output_node=66, voltage=0.01464243046939373
    time_span=0.0001s, test_ID=187, label=5, output_node=67, voltage=0.014062749221920967
    time_span=0.0001s, test_ID=187, label=5, output_node=68, voltage=0.015080678276717663
    time_span=0.0001s, test_ID=187, label=5, output_node=69, voltage=0.013082669116556644
    time_span=0.0001s, test_ID=187, label=5, output_node=70, voltage=0.008542828261852264
    time_span=0.0001s, test_ID=187, label=5, output_node=71, voltage=0.01782071776688099
    time_span=0.0001s, test_ID=187, label=5, output_node=72, voltage=0.012420318089425564
    time_span=0.0001s, test_ID=187, label=5, output_node=73, voltage=0.013367529027163982
    time_span=0.0001s, test_ID=187, label=5, output_node=74, voltage=0.010272908955812454
    time_span=0.0001s, test_ID=187, label=5, output_node=75, voltage=0.013737051747739315
    time_span=0.0001s, test_ID=187, label=5, output_node=76, voltage=0.012008963152766228
    time_span=0.0001s, test_ID=187, label=5, output_node=77, voltage=0.013654381968080997
    time_span=0.0001s, test_ID=187, label=5, output_node=78, voltage=0.010168326087296009
    time_span=0.0001s, test_ID=187, label=5, output_node=79, voltage=0.015503983944654465
    time_span=0.0001s, test_ID=187, label=5, output_node=80, voltage=0.013385457918047905
    time_span=0.0001s, test_ID=187, label=5, output_node=81, voltage=0.013277887366712093
    time_span=0.0001s, test_ID=187, label=5, output_node=82, voltage=0.011491036973893642
    time_span=0.0001s, test_ID=187, label=5, output_node=83, voltage=0.015866534784436226
    time_span=0.0001s, test_ID=187, label=5, output_node=84, voltage=0.015455178916454315
    time_span=0.0001s, test_ID=187, label=5, output_node=85, voltage=0.012121514417231083
    time_span=0.0001s, test_ID=187, label=5, output_node=86, voltage=0.01697111502289772
    time_span=0.0001s, test_ID=187, label=5, output_node=87, voltage=0.01397509966045618
    time_span=0.0001s, test_ID=187, label=5, output_node=88, voltage=0.011370518244802952
    time_span=0.0001s, test_ID=187, label=5, output_node=89, voltage=0.01414143480360508
    time_span=0.0001s, test_ID=187, label=5, output_node=90, voltage=0.01506772916764021
    time_span=0.0001s, test_ID=187, label=5, output_node=91, voltage=0.014924301765859127
    time_span=0.0001s, test_ID=187, label=5, output_node=92, voltage=0.008718127384781837
    time_span=0.0001s, test_ID=187, label=5, output_node=93, voltage=0.014994023367762566
    time_span=0.0001s, test_ID=187, label=5, output_node=94, voltage=0.014062749221920967
    time_span=0.0001s, test_ID=187, label=5, output_node=95, voltage=0.017566734924912453
    time_span=0.0001s, test_ID=187, label=5, output_node=96, voltage=0.010126493871212006
    time_span=0.0001s, test_ID=187, label=5, output_node=97, voltage=0.015116533264517784
    time_span=0.0001s, test_ID=187, label=5, output_node=98, voltage=0.012748007662594318
    time_span=0.0001s, test_ID=187, label=5, output_node=99, voltage=0.013343625701963902
    time_span=0.0001s, test_ID=187, label=5, output_node=sum, voltage=0.032385457307100296
    Time consumed for 1 sample = 1205.7202291488647 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '187'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=188, label=0, output_node=bkg, voltage=-0.005127490032464266
    time_span=0.0001s, test_ID=188, label=0, output_node=0, voltage=0.017109563574194908
    time_span=0.0001s, test_ID=188, label=0, output_node=1, voltage=0.023749005049467087
    time_span=0.0001s, test_ID=188, label=0, output_node=2, voltage=0.02044721320271492
    time_span=0.0001s, test_ID=188, label=0, output_node=3, voltage=0.021857568994164467
    time_span=0.0001s, test_ID=188, label=0, output_node=4, voltage=0.013896414078772068
    time_span=0.0001s, test_ID=188, label=0, output_node=5, voltage=0.012184263207018375
    time_span=0.0001s, test_ID=188, label=0, output_node=6, voltage=0.02075498178601265
    time_span=0.0001s, test_ID=188, label=0, output_node=7, voltage=0.018996015191078186
    time_span=0.0001s, test_ID=188, label=0, output_node=8, voltage=0.016431273892521858
    time_span=0.0001s, test_ID=188, label=0, output_node=9, voltage=0.02115139365196228
    time_span=0.0001s, test_ID=188, label=0, output_node=10, voltage=0.022764939814805984
    time_span=0.0001s, test_ID=188, label=0, output_node=11, voltage=0.020215138792991638
    time_span=0.0001s, test_ID=188, label=0, output_node=12, voltage=0.02569621428847313
    time_span=0.0001s, test_ID=188, label=0, output_node=13, voltage=0.0218057744204998
    time_span=0.0001s, test_ID=188, label=0, output_node=14, voltage=0.021696213632822037
    time_span=0.0001s, test_ID=188, label=0, output_node=15, voltage=0.016528883948922157
    time_span=0.0001s, test_ID=188, label=0, output_node=16, voltage=0.017789840698242188
    time_span=0.0001s, test_ID=188, label=0, output_node=17, voltage=0.014609561301767826
    time_span=0.0001s, test_ID=188, label=0, output_node=18, voltage=0.01966235227882862
    time_span=0.0001s, test_ID=188, label=0, output_node=19, voltage=0.020174304023385048
    time_span=0.0001s, test_ID=188, label=0, output_node=20, voltage=0.02412649430334568
    time_span=0.0001s, test_ID=188, label=0, output_node=21, voltage=0.021884461864829063
    time_span=0.0001s, test_ID=188, label=0, output_node=22, voltage=0.018810758367180824
    time_span=0.0001s, test_ID=188, label=0, output_node=23, voltage=0.025972111150622368
    time_span=0.0001s, test_ID=188, label=0, output_node=24, voltage=0.028345616534352303
    time_span=0.0001s, test_ID=188, label=0, output_node=25, voltage=0.02095717191696167
    time_span=0.0001s, test_ID=188, label=0, output_node=26, voltage=0.020531870424747467
    time_span=0.0001s, test_ID=188, label=0, output_node=27, voltage=0.020207172259688377
    time_span=0.0001s, test_ID=188, label=0, output_node=28, voltage=0.021141434088349342
    time_span=0.0001s, test_ID=188, label=0, output_node=29, voltage=0.02444223128259182
    time_span=0.0001s, test_ID=188, label=0, output_node=30, voltage=0.02164541929960251
    time_span=0.0001s, test_ID=188, label=0, output_node=31, voltage=0.01376892440021038
    time_span=0.0001s, test_ID=188, label=0, output_node=32, voltage=0.021874504163861275
    time_span=0.0001s, test_ID=188, label=0, output_node=33, voltage=0.020518925040960312
    time_span=0.0001s, test_ID=188, label=0, output_node=34, voltage=0.02013944275677204
    time_span=0.0001s, test_ID=188, label=0, output_node=35, voltage=0.018844621255993843
    time_span=0.0001s, test_ID=188, label=0, output_node=36, voltage=0.01977689191699028
    time_span=0.0001s, test_ID=188, label=0, output_node=37, voltage=0.021690240129828453
    time_span=0.0001s, test_ID=188, label=0, output_node=38, voltage=0.01930079609155655
    time_span=0.0001s, test_ID=188, label=0, output_node=39, voltage=0.02694721147418022
    time_span=0.0001s, test_ID=188, label=0, output_node=40, voltage=0.01571912318468094
    time_span=0.0001s, test_ID=188, label=0, output_node=41, voltage=0.015763944014906883
    time_span=0.0001s, test_ID=188, label=0, output_node=42, voltage=0.020348606631159782
    time_span=0.0001s, test_ID=188, label=0, output_node=43, voltage=0.014075697399675846
    time_span=0.0001s, test_ID=188, label=0, output_node=44, voltage=0.023329680785536766
    time_span=0.0001s, test_ID=188, label=0, output_node=45, voltage=0.015851594507694244
    time_span=0.0001s, test_ID=188, label=0, output_node=46, voltage=0.021728089079260826
    time_span=0.0001s, test_ID=188, label=0, output_node=47, voltage=0.02032768912613392
    time_span=0.0001s, test_ID=188, label=0, output_node=48, voltage=0.018812749534845352
    time_span=0.0001s, test_ID=188, label=0, output_node=49, voltage=0.021714141592383385
    time_span=0.0001s, test_ID=188, label=0, output_node=50, voltage=0.022902391850948334
    time_span=0.0001s, test_ID=188, label=0, output_node=51, voltage=0.02621314860880375
    time_span=0.0001s, test_ID=188, label=0, output_node=52, voltage=0.02005079761147499
    time_span=0.0001s, test_ID=188, label=0, output_node=53, voltage=0.019490040838718414
    time_span=0.0001s, test_ID=188, label=0, output_node=54, voltage=0.025683267042040825
    time_span=0.0001s, test_ID=188, label=0, output_node=55, voltage=0.01608067750930786
    time_span=0.0001s, test_ID=188, label=0, output_node=56, voltage=0.028211155906319618
    time_span=0.0001s, test_ID=188, label=0, output_node=57, voltage=0.02250996232032776
    time_span=0.0001s, test_ID=188, label=0, output_node=58, voltage=0.023335658013820648
    time_span=0.0001s, test_ID=188, label=0, output_node=59, voltage=0.01656673289835453
    time_span=0.0001s, test_ID=188, label=0, output_node=60, voltage=0.02129681222140789
    time_span=0.0001s, test_ID=188, label=0, output_node=61, voltage=0.01567032001912594
    time_span=0.0001s, test_ID=188, label=0, output_node=62, voltage=0.022295815870165825
    time_span=0.0001s, test_ID=188, label=0, output_node=63, voltage=0.020405378192663193
    time_span=0.0001s, test_ID=188, label=0, output_node=64, voltage=0.01956673339009285
    time_span=0.0001s, test_ID=188, label=0, output_node=65, voltage=0.01981872320175171
    time_span=0.0001s, test_ID=188, label=0, output_node=66, voltage=0.024712152779102325
    time_span=0.0001s, test_ID=188, label=0, output_node=67, voltage=0.02472509816288948
    time_span=0.0001s, test_ID=188, label=0, output_node=68, voltage=0.018987052142620087
    time_span=0.0001s, test_ID=188, label=0, output_node=69, voltage=0.022803785279393196
    time_span=0.0001s, test_ID=188, label=0, output_node=70, voltage=0.020111555233597755
    time_span=0.0001s, test_ID=188, label=0, output_node=71, voltage=0.020752988755702972
    time_span=0.0001s, test_ID=188, label=0, output_node=72, voltage=0.018309762701392174
    time_span=0.0001s, test_ID=188, label=0, output_node=73, voltage=0.013082669116556644
    time_span=0.0001s, test_ID=188, label=0, output_node=74, voltage=0.020251993089914322
    time_span=0.0001s, test_ID=188, label=0, output_node=75, voltage=0.018322709947824478
    time_span=0.0001s, test_ID=188, label=0, output_node=76, voltage=0.022390438243746758
    time_span=0.0001s, test_ID=188, label=0, output_node=77, voltage=0.02588844671845436
    time_span=0.0001s, test_ID=188, label=0, output_node=78, voltage=0.02466832660138607
    time_span=0.0001s, test_ID=188, label=0, output_node=79, voltage=0.025261953473091125
    time_span=0.0001s, test_ID=188, label=0, output_node=80, voltage=0.02273605577647686
    time_span=0.0001s, test_ID=188, label=0, output_node=81, voltage=0.029513943940401077
    time_span=0.0001s, test_ID=188, label=0, output_node=82, voltage=0.01431872509419918
    time_span=0.0001s, test_ID=188, label=0, output_node=83, voltage=0.02407968044281006
    time_span=0.0001s, test_ID=188, label=0, output_node=84, voltage=0.02098306640982628
    time_span=0.0001s, test_ID=188, label=0, output_node=85, voltage=0.02153884433209896
    time_span=0.0001s, test_ID=188, label=0, output_node=86, voltage=0.02083565853536129
    time_span=0.0001s, test_ID=188, label=0, output_node=87, voltage=0.02263844572007656
    time_span=0.0001s, test_ID=188, label=0, output_node=88, voltage=0.020798804238438606
    time_span=0.0001s, test_ID=188, label=0, output_node=89, voltage=0.022577688097953796
    time_span=0.0001s, test_ID=188, label=0, output_node=90, voltage=0.02359163388609886
    time_span=0.0001s, test_ID=188, label=0, output_node=91, voltage=0.02464342676103115
    time_span=0.0001s, test_ID=188, label=0, output_node=92, voltage=0.029702192172408104
    time_span=0.0001s, test_ID=188, label=0, output_node=93, voltage=0.02372111566364765
    time_span=0.0001s, test_ID=188, label=0, output_node=94, voltage=0.017259959131479263
    time_span=0.0001s, test_ID=188, label=0, output_node=95, voltage=0.022399403154850006
    time_span=0.0001s, test_ID=188, label=0, output_node=96, voltage=0.01731972023844719
    time_span=0.0001s, test_ID=188, label=0, output_node=97, voltage=0.01797410473227501
    time_span=0.0001s, test_ID=188, label=0, output_node=98, voltage=0.023442231118679047
    time_span=0.0001s, test_ID=188, label=0, output_node=99, voltage=0.021924303844571114
    time_span=0.0001s, test_ID=188, label=0, output_node=sum, voltage=0.04915139451622963
    Time consumed for 1 sample = 1211.2925741672516 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '188'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=189, label=1, output_node=bkg, voltage=-0.005798804108053446
    time_span=0.0001s, test_ID=189, label=1, output_node=0, voltage=0.0010687251342460513
    time_span=0.0001s, test_ID=189, label=1, output_node=1, voltage=0.0017559761181473732
    time_span=0.0001s, test_ID=189, label=1, output_node=2, voltage=0.0025627489667385817
    time_span=0.0001s, test_ID=189, label=1, output_node=3, voltage=-0.0009392430074512959
    time_span=0.0001s, test_ID=189, label=1, output_node=4, voltage=0.0017888445872813463
    time_span=0.0001s, test_ID=189, label=1, output_node=5, voltage=0.0024671312421560287
    time_span=0.0001s, test_ID=189, label=1, output_node=6, voltage=0.006294820457696915
    time_span=0.0001s, test_ID=189, label=1, output_node=7, voltage=0.0013545817928388715
    time_span=0.0001s, test_ID=189, label=1, output_node=8, voltage=-0.002042828593403101
    time_span=0.0001s, test_ID=189, label=1, output_node=9, voltage=-0.00046513957204297185
    time_span=0.0001s, test_ID=189, label=1, output_node=10, voltage=-0.0003436255210544914
    time_span=0.0001s, test_ID=189, label=1, output_node=11, voltage=-0.0015647411346435547
    time_span=0.0001s, test_ID=189, label=1, output_node=12, voltage=-0.0024840636178851128
    time_span=0.0001s, test_ID=189, label=1, output_node=13, voltage=8.964152948465198e-05
    time_span=0.0001s, test_ID=189, label=1, output_node=14, voltage=-0.0008794820168986917
    time_span=0.0001s, test_ID=189, label=1, output_node=15, voltage=0.0016972111770883203
    time_span=0.0001s, test_ID=189, label=1, output_node=16, voltage=0.003541832324117422
    time_span=0.0001s, test_ID=189, label=1, output_node=17, voltage=-0.0004790836828760803
    time_span=0.0001s, test_ID=189, label=1, output_node=18, voltage=0.001454183249734342
    time_span=0.0001s, test_ID=189, label=1, output_node=19, voltage=0.001028884551487863
    time_span=0.0001s, test_ID=189, label=1, output_node=20, voltage=0.0002041833067778498
    time_span=0.0001s, test_ID=189, label=1, output_node=21, voltage=0.0035826691891998053
    time_span=0.0001s, test_ID=189, label=1, output_node=22, voltage=8.366526890313253e-05
    time_span=0.0001s, test_ID=189, label=1, output_node=23, voltage=-0.0011693226406350732
    time_span=0.0001s, test_ID=189, label=1, output_node=24, voltage=0.0018127491930499673
    time_span=0.0001s, test_ID=189, label=1, output_node=25, voltage=0.0007768925279378891
    time_span=0.0001s, test_ID=189, label=1, output_node=26, voltage=-0.0009541832259856164
    time_span=0.0001s, test_ID=189, label=1, output_node=27, voltage=-0.0004621513362508267
    time_span=0.0001s, test_ID=189, label=1, output_node=28, voltage=0.0013047809479758143
    time_span=0.0001s, test_ID=189, label=1, output_node=29, voltage=0.001909362617880106
    time_span=0.0001s, test_ID=189, label=1, output_node=30, voltage=-0.002795816631987691
    time_span=0.0001s, test_ID=189, label=1, output_node=31, voltage=-0.0005179282743483782
    time_span=0.0001s, test_ID=189, label=1, output_node=32, voltage=-0.002252988051623106
    time_span=0.0001s, test_ID=189, label=1, output_node=33, voltage=-0.0011354582384228706
    time_span=0.0001s, test_ID=189, label=1, output_node=34, voltage=-0.0013207170413807034
    time_span=0.0001s, test_ID=189, label=1, output_node=35, voltage=-1.3944162674306426e-05
    time_span=0.0001s, test_ID=189, label=1, output_node=36, voltage=-0.0031573702581226826
    time_span=0.0001s, test_ID=189, label=1, output_node=37, voltage=-0.00013247018796391785
    time_span=0.0001s, test_ID=189, label=1, output_node=38, voltage=0.0019960161298513412
    time_span=0.0001s, test_ID=189, label=1, output_node=39, voltage=-0.0002649401139933616
    time_span=0.0001s, test_ID=189, label=1, output_node=40, voltage=0.0006025898037478328
    time_span=0.0001s, test_ID=189, label=1, output_node=41, voltage=0.001348605495877564
    time_span=0.0001s, test_ID=189, label=1, output_node=42, voltage=0.0010946213733404875
    time_span=0.0001s, test_ID=189, label=1, output_node=43, voltage=0.001011952175758779
    time_span=0.0001s, test_ID=189, label=1, output_node=44, voltage=0.0002290837437612936
    time_span=0.0001s, test_ID=189, label=1, output_node=45, voltage=-0.0003167330287396908
    time_span=0.0001s, test_ID=189, label=1, output_node=46, voltage=0.0033565734047442675
    time_span=0.0001s, test_ID=189, label=1, output_node=47, voltage=-0.0007061752257868648
    time_span=0.0001s, test_ID=189, label=1, output_node=48, voltage=-0.0010737052652984858
    time_span=0.0001s, test_ID=189, label=1, output_node=49, voltage=-0.0006135458243079484
    time_span=0.0001s, test_ID=189, label=1, output_node=50, voltage=0.0017569720512256026
    time_span=0.0001s, test_ID=189, label=1, output_node=51, voltage=-0.0010507968254387379
    time_span=0.0001s, test_ID=189, label=1, output_node=52, voltage=-0.0009810756891965866
    time_span=0.0001s, test_ID=189, label=1, output_node=53, voltage=-0.0010966135887429118
    time_span=0.0001s, test_ID=189, label=1, output_node=54, voltage=0.0013346611522138119
    time_span=0.0001s, test_ID=189, label=1, output_node=55, voltage=0.0010826694779098034
    time_span=0.0001s, test_ID=189, label=1, output_node=56, voltage=-2.988044980156701e-05
    time_span=0.0001s, test_ID=189, label=1, output_node=57, voltage=0.0018157372251152992
    time_span=0.0001s, test_ID=189, label=1, output_node=58, voltage=0.00016633466293569654
    time_span=0.0001s, test_ID=189, label=1, output_node=59, voltage=-4.980134235665901e-06
    time_span=0.0001s, test_ID=189, label=1, output_node=60, voltage=0.003625498153269291
    time_span=0.0001s, test_ID=189, label=1, output_node=61, voltage=-0.000444223202066496
    time_span=0.0001s, test_ID=189, label=1, output_node=62, voltage=0.0002519920526538044
    time_span=0.0001s, test_ID=189, label=1, output_node=63, voltage=0.002246015937998891
    time_span=0.0001s, test_ID=189, label=1, output_node=64, voltage=0.0025249002501368523
    time_span=0.0001s, test_ID=189, label=1, output_node=65, voltage=0.0005986057221889496
    time_span=0.0001s, test_ID=189, label=1, output_node=66, voltage=0.00022410346718970686
    time_span=0.0001s, test_ID=189, label=1, output_node=67, voltage=0.002856573788449168
    time_span=0.0001s, test_ID=189, label=1, output_node=68, voltage=0.002510956022888422
    time_span=0.0001s, test_ID=189, label=1, output_node=69, voltage=-0.00045019935350865126
    time_span=0.0001s, test_ID=189, label=1, output_node=70, voltage=-0.0005597610143013299
    time_span=0.0001s, test_ID=189, label=1, output_node=71, voltage=0.00019322709704283625
    time_span=0.0001s, test_ID=189, label=1, output_node=72, voltage=0.001568725099787116
    time_span=0.0001s, test_ID=189, label=1, output_node=73, voltage=-0.0007858566241338849
    time_span=0.0001s, test_ID=189, label=1, output_node=74, voltage=-0.00017828693671617657
    time_span=0.0001s, test_ID=189, label=1, output_node=75, voltage=0.0024890440981835127
    time_span=0.0001s, test_ID=189, label=1, output_node=76, voltage=1.792820512491744e-05
    time_span=0.0001s, test_ID=189, label=1, output_node=77, voltage=0.0005129481432959437
    time_span=0.0001s, test_ID=189, label=1, output_node=78, voltage=0.004926295019686222
    time_span=0.0001s, test_ID=189, label=1, output_node=79, voltage=0.0014800798380747437
    time_span=0.0001s, test_ID=189, label=1, output_node=80, voltage=-0.00011254980927333236
    time_span=0.0001s, test_ID=189, label=1, output_node=81, voltage=-0.00022609549341723323
    time_span=0.0001s, test_ID=189, label=1, output_node=82, voltage=0.0014661356108263135
    time_span=0.0001s, test_ID=189, label=1, output_node=83, voltage=-5.776895341114141e-05
    time_span=0.0001s, test_ID=189, label=1, output_node=84, voltage=0.0017241035820916295
    time_span=0.0001s, test_ID=189, label=1, output_node=85, voltage=-0.0004621514235623181
    time_span=0.0001s, test_ID=189, label=1, output_node=86, voltage=0.0015597608871757984
    time_span=0.0001s, test_ID=189, label=1, output_node=87, voltage=-0.0010039841290563345
    time_span=0.0001s, test_ID=189, label=1, output_node=88, voltage=0.00021115544950589538
    time_span=0.0001s, test_ID=189, label=1, output_node=89, voltage=0.003054780885577202
    time_span=0.0001s, test_ID=189, label=1, output_node=90, voltage=-0.0012948208022862673
    time_span=0.0001s, test_ID=189, label=1, output_node=91, voltage=0.000589641451369971
    time_span=0.0001s, test_ID=189, label=1, output_node=92, voltage=0.0022470117546617985
    time_span=0.0001s, test_ID=189, label=1, output_node=93, voltage=-0.0006115537253208458
    time_span=0.0001s, test_ID=189, label=1, output_node=94, voltage=-0.0006484063342213631
    time_span=0.0001s, test_ID=189, label=1, output_node=95, voltage=0.0030278884805738926
    time_span=0.0001s, test_ID=189, label=1, output_node=96, voltage=-0.0009960158495232463
    time_span=0.0001s, test_ID=189, label=1, output_node=97, voltage=-0.0032241034787148237
    time_span=0.0001s, test_ID=189, label=1, output_node=98, voltage=-0.0009731075842864811
    time_span=0.0001s, test_ID=189, label=1, output_node=99, voltage=0.002607569796964526
    time_span=0.0001s, test_ID=189, label=1, output_node=sum, voltage=0.0067390440963208675
    Time consumed for 1 sample = 1200.8918297290802 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '189'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=190, label=1, output_node=bkg, voltage=-0.006010956130921841
    time_span=0.0001s, test_ID=190, label=1, output_node=0, voltage=0.003598605515435338
    time_span=0.0001s, test_ID=190, label=1, output_node=1, voltage=0.010577688924968243
    time_span=0.0001s, test_ID=190, label=1, output_node=2, voltage=0.006264940369874239
    time_span=0.0001s, test_ID=190, label=1, output_node=3, voltage=0.0067440238781273365
    time_span=0.0001s, test_ID=190, label=1, output_node=4, voltage=0.013136453926563263
    time_span=0.0001s, test_ID=190, label=1, output_node=5, voltage=0.011993028223514557
    time_span=0.0001s, test_ID=190, label=1, output_node=6, voltage=0.01080179214477539
    time_span=0.0001s, test_ID=190, label=1, output_node=7, voltage=0.011488047428429127
    time_span=0.0001s, test_ID=190, label=1, output_node=8, voltage=0.008171315304934978
    time_span=0.0001s, test_ID=190, label=1, output_node=9, voltage=0.004888446070253849
    time_span=0.0001s, test_ID=190, label=1, output_node=10, voltage=0.009711155667901039
    time_span=0.0001s, test_ID=190, label=1, output_node=11, voltage=0.011567729525268078
    time_span=0.0001s, test_ID=190, label=1, output_node=12, voltage=0.005513944197446108
    time_span=0.0001s, test_ID=190, label=1, output_node=13, voltage=0.008710159920156002
    time_span=0.0001s, test_ID=190, label=1, output_node=14, voltage=0.011857569217681885
    time_span=0.0001s, test_ID=190, label=1, output_node=15, voltage=0.0072161355055868626
    time_span=0.0001s, test_ID=190, label=1, output_node=16, voltage=0.004674302414059639
    time_span=0.0001s, test_ID=190, label=1, output_node=17, voltage=0.008952191099524498
    time_span=0.0001s, test_ID=190, label=1, output_node=18, voltage=0.00971912406384945
    time_span=0.0001s, test_ID=190, label=1, output_node=19, voltage=0.00938247051090002
    time_span=0.0001s, test_ID=190, label=1, output_node=20, voltage=0.006539840716868639
    time_span=0.0001s, test_ID=190, label=1, output_node=21, voltage=0.010257967747747898
    time_span=0.0001s, test_ID=190, label=1, output_node=22, voltage=0.007957170717418194
    time_span=0.0001s, test_ID=190, label=1, output_node=23, voltage=0.008972111158072948
    time_span=0.0001s, test_ID=190, label=1, output_node=24, voltage=0.007940239273011684
    time_span=0.0001s, test_ID=190, label=1, output_node=25, voltage=0.009694223292171955
    time_span=0.0001s, test_ID=190, label=1, output_node=26, voltage=0.011991036124527454
    time_span=0.0001s, test_ID=190, label=1, output_node=27, voltage=0.012800795957446098
    time_span=0.0001s, test_ID=190, label=1, output_node=28, voltage=0.014782868325710297
    time_span=0.0001s, test_ID=190, label=1, output_node=29, voltage=0.012834660708904266
    time_span=0.0001s, test_ID=190, label=1, output_node=30, voltage=0.006622510030865669
    time_span=0.0001s, test_ID=190, label=1, output_node=31, voltage=0.008260956965386868
    time_span=0.0001s, test_ID=190, label=1, output_node=32, voltage=0.01454880554229021
    time_span=0.0001s, test_ID=190, label=1, output_node=33, voltage=0.012017928063869476
    time_span=0.0001s, test_ID=190, label=1, output_node=34, voltage=0.008820717222988605
    time_span=0.0001s, test_ID=190, label=1, output_node=35, voltage=0.01338944211602211
    time_span=0.0001s, test_ID=190, label=1, output_node=36, voltage=0.010072708129882812
    time_span=0.0001s, test_ID=190, label=1, output_node=37, voltage=0.011476095765829086
    time_span=0.0001s, test_ID=190, label=1, output_node=38, voltage=0.012400398962199688
    time_span=0.0001s, test_ID=190, label=1, output_node=39, voltage=0.009012947790324688
    time_span=0.0001s, test_ID=190, label=1, output_node=40, voltage=0.011885457672178745
    time_span=0.0001s, test_ID=190, label=1, output_node=41, voltage=0.011750996112823486
    time_span=0.0001s, test_ID=190, label=1, output_node=42, voltage=0.013121513649821281
    time_span=0.0001s, test_ID=190, label=1, output_node=43, voltage=0.013650398701429367
    time_span=0.0001s, test_ID=190, label=1, output_node=44, voltage=0.010274900123476982
    time_span=0.0001s, test_ID=190, label=1, output_node=45, voltage=0.011902390979230404
    time_span=0.0001s, test_ID=190, label=1, output_node=46, voltage=0.008939243853092194
    time_span=0.0001s, test_ID=190, label=1, output_node=47, voltage=0.006286852993071079
    time_span=0.0001s, test_ID=190, label=1, output_node=48, voltage=0.0076344627887010574
    time_span=0.0001s, test_ID=190, label=1, output_node=49, voltage=0.015264940448105335
    time_span=0.0001s, test_ID=190, label=1, output_node=50, voltage=0.00874402280896902
    time_span=0.0001s, test_ID=190, label=1, output_node=51, voltage=0.006661354098469019
    time_span=0.0001s, test_ID=190, label=1, output_node=52, voltage=0.009505976922810078
    time_span=0.0001s, test_ID=190, label=1, output_node=53, voltage=0.01047410350292921
    time_span=0.0001s, test_ID=190, label=1, output_node=54, voltage=0.012393427081406116
    time_span=0.0001s, test_ID=190, label=1, output_node=55, voltage=0.011472111567854881
    time_span=0.0001s, test_ID=190, label=1, output_node=56, voltage=0.009477091953158379
    time_span=0.0001s, test_ID=190, label=1, output_node=57, voltage=0.006758964620530605
    time_span=0.0001s, test_ID=190, label=1, output_node=58, voltage=0.01086354535073042
    time_span=0.0001s, test_ID=190, label=1, output_node=59, voltage=0.009086653590202332
    time_span=0.0001s, test_ID=190, label=1, output_node=60, voltage=0.0038177291862666607
    time_span=0.0001s, test_ID=190, label=1, output_node=61, voltage=0.010763943195343018
    time_span=0.0001s, test_ID=190, label=1, output_node=62, voltage=0.013441234827041626
    time_span=0.0001s, test_ID=190, label=1, output_node=63, voltage=0.008826692588627338
    time_span=0.0001s, test_ID=190, label=1, output_node=64, voltage=0.007440239191055298
    time_span=0.0001s, test_ID=190, label=1, output_node=65, voltage=0.008452191017568111
    time_span=0.0001s, test_ID=190, label=1, output_node=66, voltage=0.00021215145534370095
    time_span=0.0001s, test_ID=190, label=1, output_node=67, voltage=0.008795817382633686
    time_span=0.0001s, test_ID=190, label=1, output_node=68, voltage=0.008288845419883728
    time_span=0.0001s, test_ID=190, label=1, output_node=69, voltage=0.010119521990418434
    time_span=0.0001s, test_ID=190, label=1, output_node=70, voltage=0.006862550042569637
    time_span=0.0001s, test_ID=190, label=1, output_node=71, voltage=0.006303784903138876
    time_span=0.0001s, test_ID=190, label=1, output_node=72, voltage=0.0067958165891468525
    time_span=0.0001s, test_ID=190, label=1, output_node=73, voltage=0.004629482049494982
    time_span=0.0001s, test_ID=190, label=1, output_node=74, voltage=0.012590637430548668
    time_span=0.0001s, test_ID=190, label=1, output_node=75, voltage=0.009584660641849041
    time_span=0.0001s, test_ID=190, label=1, output_node=76, voltage=0.010133465752005577
    time_span=0.0001s, test_ID=190, label=1, output_node=77, voltage=0.007699203211814165
    time_span=0.0001s, test_ID=190, label=1, output_node=78, voltage=0.007462151348590851
    time_span=0.0001s, test_ID=190, label=1, output_node=79, voltage=0.009591633453965187
    time_span=0.0001s, test_ID=190, label=1, output_node=80, voltage=0.009170319885015488
    time_span=0.0001s, test_ID=190, label=1, output_node=81, voltage=0.0073067727498710155
    time_span=0.0001s, test_ID=190, label=1, output_node=82, voltage=0.005818725097924471
    time_span=0.0001s, test_ID=190, label=1, output_node=83, voltage=0.010056773200631142
    time_span=0.0001s, test_ID=190, label=1, output_node=84, voltage=0.012554780580103397
    time_span=0.0001s, test_ID=190, label=1, output_node=85, voltage=0.01032470166683197
    time_span=0.0001s, test_ID=190, label=1, output_node=86, voltage=0.008213147521018982
    time_span=0.0001s, test_ID=190, label=1, output_node=87, voltage=0.014108565635979176
    time_span=0.0001s, test_ID=190, label=1, output_node=88, voltage=0.005409362725913525
    time_span=0.0001s, test_ID=190, label=1, output_node=89, voltage=0.011227091774344444
    time_span=0.0001s, test_ID=190, label=1, output_node=90, voltage=0.008495019748806953
    time_span=0.0001s, test_ID=190, label=1, output_node=91, voltage=0.007730080280452967
    time_span=0.0001s, test_ID=190, label=1, output_node=92, voltage=0.009582669474184513
    time_span=0.0001s, test_ID=190, label=1, output_node=93, voltage=0.0025657368823885918
    time_span=0.0001s, test_ID=190, label=1, output_node=94, voltage=0.006026891991496086
    time_span=0.0001s, test_ID=190, label=1, output_node=95, voltage=0.009803785011172295
    time_span=0.0001s, test_ID=190, label=1, output_node=96, voltage=0.00686254957690835
    time_span=0.0001s, test_ID=190, label=1, output_node=97, voltage=0.01168824639171362
    time_span=0.0001s, test_ID=190, label=1, output_node=98, voltage=0.012694223783910275
    time_span=0.0001s, test_ID=190, label=1, output_node=99, voltage=0.008721115998923779
    time_span=0.0001s, test_ID=190, label=1, output_node=sum, voltage=0.025794818997383118
    Time consumed for 1 sample = 1202.1020131111145 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '190'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=191, label=1, output_node=bkg, voltage=-0.005875498056411743
    time_span=0.0001s, test_ID=191, label=1, output_node=0, voltage=0.0023725100327283144
    time_span=0.0001s, test_ID=191, label=1, output_node=1, voltage=0.0029492031317204237
    time_span=0.0001s, test_ID=191, label=1, output_node=2, voltage=0.005375498440116644
    time_span=0.0001s, test_ID=191, label=1, output_node=3, voltage=0.004117530304938555
    time_span=0.0001s, test_ID=191, label=1, output_node=4, voltage=0.002759960014373064
    time_span=0.0001s, test_ID=191, label=1, output_node=5, voltage=0.002109561813995242
    time_span=0.0001s, test_ID=191, label=1, output_node=6, voltage=0.006731076166033745
    time_span=0.0001s, test_ID=191, label=1, output_node=7, voltage=0.003934262786060572
    time_span=0.0001s, test_ID=191, label=1, output_node=8, voltage=0.0028565735556185246
    time_span=0.0001s, test_ID=191, label=1, output_node=9, voltage=0.0011065737344324589
    time_span=0.0001s, test_ID=191, label=1, output_node=10, voltage=0.002607569796964526
    time_span=0.0001s, test_ID=191, label=1, output_node=11, voltage=0.0010288843186572194
    time_span=0.0001s, test_ID=191, label=1, output_node=12, voltage=0.0004641434352379292
    time_span=0.0001s, test_ID=191, label=1, output_node=13, voltage=0.0008406375418417156
    time_span=0.0001s, test_ID=191, label=1, output_node=14, voltage=0.0022310756612569094
    time_span=0.0001s, test_ID=191, label=1, output_node=15, voltage=0.0034621511586010456
    time_span=0.0001s, test_ID=191, label=1, output_node=16, voltage=0.006379482336342335
    time_span=0.0001s, test_ID=191, label=1, output_node=17, voltage=0.002208167454227805
    time_span=0.0001s, test_ID=191, label=1, output_node=18, voltage=0.003085657488554716
    time_span=0.0001s, test_ID=191, label=1, output_node=19, voltage=0.003857569769024849
    time_span=0.0001s, test_ID=191, label=1, output_node=20, voltage=0.00038147412124089897
    time_span=0.0001s, test_ID=191, label=1, output_node=21, voltage=0.007317729294300079
    time_span=0.0001s, test_ID=191, label=1, output_node=22, voltage=0.00261055794544518
    time_span=0.0001s, test_ID=191, label=1, output_node=23, voltage=-0.00032768925302661955
    time_span=0.0001s, test_ID=191, label=1, output_node=24, voltage=0.005487052258104086
    time_span=0.0001s, test_ID=191, label=1, output_node=25, voltage=0.006139441858977079
    time_span=0.0001s, test_ID=191, label=1, output_node=26, voltage=0.0019153383327648044
    time_span=0.0001s, test_ID=191, label=1, output_node=27, voltage=0.003589641535654664
    time_span=0.0001s, test_ID=191, label=1, output_node=28, voltage=0.0037888444494456053
    time_span=0.0001s, test_ID=191, label=1, output_node=29, voltage=0.0042111556977033615
    time_span=0.0001s, test_ID=191, label=1, output_node=30, voltage=-0.0019890437833964825
    time_span=0.0001s, test_ID=191, label=1, output_node=31, voltage=0.0018456174293532968
    time_span=0.0001s, test_ID=191, label=1, output_node=32, voltage=0.0030079681891947985
    time_span=0.0001s, test_ID=191, label=1, output_node=33, voltage=0.0013705180026590824
    time_span=0.0001s, test_ID=191, label=1, output_node=34, voltage=0.0034013944678008556
    time_span=0.0001s, test_ID=191, label=1, output_node=35, voltage=0.0029292828403413296
    time_span=0.0001s, test_ID=191, label=1, output_node=36, voltage=0.0018247009720653296
    time_span=0.0001s, test_ID=191, label=1, output_node=37, voltage=0.004112549591809511
    time_span=0.0001s, test_ID=191, label=1, output_node=38, voltage=0.0025836655404418707
    time_span=0.0001s, test_ID=191, label=1, output_node=39, voltage=0.0041952189058065414
    time_span=0.0001s, test_ID=191, label=1, output_node=40, voltage=0.0026015935000032187
    time_span=0.0001s, test_ID=191, label=1, output_node=41, voltage=0.003000000026077032
    time_span=0.0001s, test_ID=191, label=1, output_node=42, voltage=0.003591633401811123
    time_span=0.0001s, test_ID=191, label=1, output_node=43, voltage=0.005448206793516874
    time_span=0.0001s, test_ID=191, label=1, output_node=44, voltage=0.004821713548153639
    time_span=0.0001s, test_ID=191, label=1, output_node=45, voltage=0.004497012123465538
    time_span=0.0001s, test_ID=191, label=1, output_node=46, voltage=0.0044990042224526405
    time_span=0.0001s, test_ID=191, label=1, output_node=47, voltage=0.001248007989488542
    time_span=0.0001s, test_ID=191, label=1, output_node=48, voltage=0.0029780876357108355
    time_span=0.0001s, test_ID=191, label=1, output_node=49, voltage=0.001793824601918459
    time_span=0.0001s, test_ID=191, label=1, output_node=50, voltage=0.004652390256524086
    time_span=0.0001s, test_ID=191, label=1, output_node=51, voltage=0.005258964374661446
    time_span=0.0001s, test_ID=191, label=1, output_node=52, voltage=0.0010806773789227009
    time_span=0.0001s, test_ID=191, label=1, output_node=53, voltage=0.0009800795232877135
    time_span=0.0001s, test_ID=191, label=1, output_node=54, voltage=0.004057768732309341
    time_span=0.0001s, test_ID=191, label=1, output_node=55, voltage=0.004478088114410639
    time_span=0.0001s, test_ID=191, label=1, output_node=56, voltage=0.00032768931123428047
    time_span=0.0001s, test_ID=191, label=1, output_node=57, voltage=0.0069462149403989315
    time_span=0.0001s, test_ID=191, label=1, output_node=58, voltage=0.0022988049313426018
    time_span=0.0001s, test_ID=191, label=1, output_node=59, voltage=0.003188247326761484
    time_span=0.0001s, test_ID=191, label=1, output_node=60, voltage=0.005102589726448059
    time_span=0.0001s, test_ID=191, label=1, output_node=61, voltage=0.0031932273413985968
    time_span=0.0001s, test_ID=191, label=1, output_node=62, voltage=0.002119522076100111
    time_span=0.0001s, test_ID=191, label=1, output_node=63, voltage=0.004595617763698101
    time_span=0.0001s, test_ID=191, label=1, output_node=64, voltage=0.006196214817464352
    time_span=0.0001s, test_ID=191, label=1, output_node=65, voltage=0.004206175450235605
    time_span=0.0001s, test_ID=191, label=1, output_node=66, voltage=0.0024770917370915413
    time_span=0.0001s, test_ID=191, label=1, output_node=67, voltage=0.006041832733899355
    time_span=0.0001s, test_ID=191, label=1, output_node=68, voltage=0.0024342630058526993
    time_span=0.0001s, test_ID=191, label=1, output_node=69, voltage=0.001706175273284316
    time_span=0.0001s, test_ID=191, label=1, output_node=70, voltage=-0.0009910358348861337
    time_span=0.0001s, test_ID=191, label=1, output_node=71, voltage=0.003790836548432708
    time_span=0.0001s, test_ID=191, label=1, output_node=72, voltage=0.0038356571458280087
    time_span=0.0001s, test_ID=191, label=1, output_node=73, voltage=0.0036523905582726
    time_span=0.0001s, test_ID=191, label=1, output_node=74, voltage=0.003499999875202775
    time_span=0.0001s, test_ID=191, label=1, output_node=75, voltage=0.004464143421500921
    time_span=0.0001s, test_ID=191, label=1, output_node=76, voltage=0.0009850598871707916
    time_span=0.0001s, test_ID=191, label=1, output_node=77, voltage=0.0024312748573720455
    time_span=0.0001s, test_ID=191, label=1, output_node=78, voltage=0.006079681217670441
    time_span=0.0001s, test_ID=191, label=1, output_node=79, voltage=0.002057769102975726
    time_span=0.0001s, test_ID=191, label=1, output_node=80, voltage=0.0030956172849982977
    time_span=0.0001s, test_ID=191, label=1, output_node=81, voltage=0.0024501990992575884
    time_span=0.0001s, test_ID=191, label=1, output_node=82, voltage=0.0011015936033800244
    time_span=0.0001s, test_ID=191, label=1, output_node=83, voltage=0.000582669279538095
    time_span=0.0001s, test_ID=191, label=1, output_node=84, voltage=0.004481075797230005
    time_span=0.0001s, test_ID=191, label=1, output_node=85, voltage=0.003470119321718812
    time_span=0.0001s, test_ID=191, label=1, output_node=86, voltage=0.003137450199574232
    time_span=0.0001s, test_ID=191, label=1, output_node=87, voltage=0.0038545820862054825
    time_span=0.0001s, test_ID=191, label=1, output_node=88, voltage=0.003990039695054293
    time_span=0.0001s, test_ID=191, label=1, output_node=89, voltage=0.004750995896756649
    time_span=0.0001s, test_ID=191, label=1, output_node=90, voltage=0.002828685101121664
    time_span=0.0001s, test_ID=191, label=1, output_node=91, voltage=0.00199203216470778
    time_span=0.0001s, test_ID=191, label=1, output_node=92, voltage=0.0015896415570750833
    time_span=0.0001s, test_ID=191, label=1, output_node=93, voltage=0.005015936680138111
    time_span=0.0001s, test_ID=191, label=1, output_node=94, voltage=0.004674302414059639
    time_span=0.0001s, test_ID=191, label=1, output_node=95, voltage=0.0050926292315125465
    time_span=0.0001s, test_ID=191, label=1, output_node=96, voltage=0.003465139539912343
    time_span=0.0001s, test_ID=191, label=1, output_node=97, voltage=0.0023466134443879128
    time_span=0.0001s, test_ID=191, label=1, output_node=98, voltage=-0.00014741036284249276
    time_span=0.0001s, test_ID=191, label=1, output_node=99, voltage=0.002664342289790511
    time_span=0.0001s, test_ID=191, label=1, output_node=sum, voltage=0.015355577692389488
    Time consumed for 1 sample = 1199.192355632782 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '191'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=192, label=0, output_node=bkg, voltage=-0.004725099075585604
    time_span=0.0001s, test_ID=192, label=0, output_node=0, voltage=0.016984064131975174
    time_span=0.0001s, test_ID=192, label=0, output_node=1, voltage=0.012999999336898327
    time_span=0.0001s, test_ID=192, label=0, output_node=2, voltage=0.014326694421470165
    time_span=0.0001s, test_ID=192, label=0, output_node=3, voltage=0.021298803389072418
    time_span=0.0001s, test_ID=192, label=0, output_node=4, voltage=0.011216134764254093
    time_span=0.0001s, test_ID=192, label=0, output_node=5, voltage=0.006857569795101881
    time_span=0.0001s, test_ID=192, label=0, output_node=6, voltage=0.020685259252786636
    time_span=0.0001s, test_ID=192, label=0, output_node=7, voltage=0.011006972752511501
    time_span=0.0001s, test_ID=192, label=0, output_node=8, voltage=0.012148406356573105
    time_span=0.0001s, test_ID=192, label=0, output_node=9, voltage=0.01881474070250988
    time_span=0.0001s, test_ID=192, label=0, output_node=10, voltage=0.016277888789772987
    time_span=0.0001s, test_ID=192, label=0, output_node=11, voltage=0.010268923826515675
    time_span=0.0001s, test_ID=192, label=0, output_node=12, voltage=0.013626493513584137
    time_span=0.0001s, test_ID=192, label=0, output_node=13, voltage=0.013910357840359211
    time_span=0.0001s, test_ID=192, label=0, output_node=14, voltage=0.017653385177254677
    time_span=0.0001s, test_ID=192, label=0, output_node=15, voltage=0.01429481990635395
    time_span=0.0001s, test_ID=192, label=0, output_node=16, voltage=0.010836653411388397
    time_span=0.0001s, test_ID=192, label=0, output_node=17, voltage=0.01117430254817009
    time_span=0.0001s, test_ID=192, label=0, output_node=18, voltage=0.012728087604045868
    time_span=0.0001s, test_ID=192, label=0, output_node=19, voltage=0.011189242824912071
    time_span=0.0001s, test_ID=192, label=0, output_node=20, voltage=0.017427291721105576
    time_span=0.0001s, test_ID=192, label=0, output_node=21, voltage=0.011234063655138016
    time_span=0.0001s, test_ID=192, label=0, output_node=22, voltage=0.012911354191601276
    time_span=0.0001s, test_ID=192, label=0, output_node=23, voltage=0.018188247457146645
    time_span=0.0001s, test_ID=192, label=0, output_node=24, voltage=0.011706175282597542
    time_span=0.0001s, test_ID=192, label=0, output_node=25, voltage=0.01752290688455105
    time_span=0.0001s, test_ID=192, label=0, output_node=26, voltage=0.010051792487502098
    time_span=0.0001s, test_ID=192, label=0, output_node=27, voltage=0.009673306718468666
    time_span=0.0001s, test_ID=192, label=0, output_node=28, voltage=0.009832669049501419
    time_span=0.0001s, test_ID=192, label=0, output_node=29, voltage=0.015756972134113312
    time_span=0.0001s, test_ID=192, label=0, output_node=30, voltage=0.012466134503483772
    time_span=0.0001s, test_ID=192, label=0, output_node=31, voltage=0.012844621203839779
    time_span=0.0001s, test_ID=192, label=0, output_node=32, voltage=0.018851594999432564
    time_span=0.0001s, test_ID=192, label=0, output_node=33, voltage=0.018973106518387794
    time_span=0.0001s, test_ID=192, label=0, output_node=34, voltage=0.01074601523578167
    time_span=0.0001s, test_ID=192, label=0, output_node=35, voltage=0.00940737035125494
    time_span=0.0001s, test_ID=192, label=0, output_node=36, voltage=0.017080675810575485
    time_span=0.0001s, test_ID=192, label=0, output_node=37, voltage=0.01793227344751358
    time_span=0.0001s, test_ID=192, label=0, output_node=38, voltage=0.01858864352107048
    time_span=0.0001s, test_ID=192, label=0, output_node=39, voltage=0.01912948116660118
    time_span=0.0001s, test_ID=192, label=0, output_node=40, voltage=0.012393425218760967
    time_span=0.0001s, test_ID=192, label=0, output_node=41, voltage=0.010393425822257996
    time_span=0.0001s, test_ID=192, label=0, output_node=42, voltage=0.01305378507822752
    time_span=0.0001s, test_ID=192, label=0, output_node=43, voltage=0.011688247323036194
    time_span=0.0001s, test_ID=192, label=0, output_node=44, voltage=0.014772907830774784
    time_span=0.0001s, test_ID=192, label=0, output_node=45, voltage=0.013666334562003613
    time_span=0.0001s, test_ID=192, label=0, output_node=46, voltage=0.014079682528972626
    time_span=0.0001s, test_ID=192, label=0, output_node=47, voltage=0.015112549066543579
    time_span=0.0001s, test_ID=192, label=0, output_node=48, voltage=0.010800796560943127
    time_span=0.0001s, test_ID=192, label=0, output_node=49, voltage=0.016257967799901962
    time_span=0.0001s, test_ID=192, label=0, output_node=50, voltage=0.01787549816071987
    time_span=0.0001s, test_ID=192, label=0, output_node=51, voltage=0.01881474070250988
    time_span=0.0001s, test_ID=192, label=0, output_node=52, voltage=0.01471115555614233
    time_span=0.0001s, test_ID=192, label=0, output_node=53, voltage=0.019941234961152077
    time_span=0.0001s, test_ID=192, label=0, output_node=54, voltage=0.022215140983462334
    time_span=0.0001s, test_ID=192, label=0, output_node=55, voltage=0.011978087946772575
    time_span=0.0001s, test_ID=192, label=0, output_node=56, voltage=0.021388445049524307
    time_span=0.0001s, test_ID=192, label=0, output_node=57, voltage=0.015062750317156315
    time_span=0.0001s, test_ID=192, label=0, output_node=58, voltage=0.018252987414598465
    time_span=0.0001s, test_ID=192, label=0, output_node=59, voltage=0.013187251053750515
    time_span=0.0001s, test_ID=192, label=0, output_node=60, voltage=0.011369521729648113
    time_span=0.0001s, test_ID=192, label=0, output_node=61, voltage=0.01212450210005045
    time_span=0.0001s, test_ID=192, label=0, output_node=62, voltage=0.015965139493346214
    time_span=0.0001s, test_ID=192, label=0, output_node=63, voltage=0.016969121992588043
    time_span=0.0001s, test_ID=192, label=0, output_node=64, voltage=0.014022909104824066
    time_span=0.0001s, test_ID=192, label=0, output_node=65, voltage=0.013610556721687317
    time_span=0.0001s, test_ID=192, label=0, output_node=66, voltage=0.013369521126151085
    time_span=0.0001s, test_ID=192, label=0, output_node=67, voltage=0.010950198397040367
    time_span=0.0001s, test_ID=192, label=0, output_node=68, voltage=0.011157370172441006
    time_span=0.0001s, test_ID=192, label=0, output_node=69, voltage=0.018331674858927727
    time_span=0.0001s, test_ID=192, label=0, output_node=70, voltage=0.013341633602976799
    time_span=0.0001s, test_ID=192, label=0, output_node=71, voltage=0.015732072293758392
    time_span=0.0001s, test_ID=192, label=0, output_node=72, voltage=0.016393426805734634
    time_span=0.0001s, test_ID=192, label=0, output_node=73, voltage=0.016022907570004463
    time_span=0.0001s, test_ID=192, label=0, output_node=74, voltage=0.010415338911116123
    time_span=0.0001s, test_ID=192, label=0, output_node=75, voltage=0.012877491302788258
    time_span=0.0001s, test_ID=192, label=0, output_node=76, voltage=0.017462151125073433
    time_span=0.0001s, test_ID=192, label=0, output_node=77, voltage=0.0153346611186862
    time_span=0.0001s, test_ID=192, label=0, output_node=78, voltage=0.015130477957427502
    time_span=0.0001s, test_ID=192, label=0, output_node=79, voltage=0.018666336312890053
    time_span=0.0001s, test_ID=192, label=0, output_node=80, voltage=0.012485059909522533
    time_span=0.0001s, test_ID=192, label=0, output_node=81, voltage=0.023368528112769127
    time_span=0.0001s, test_ID=192, label=0, output_node=82, voltage=0.016272909939289093
    time_span=0.0001s, test_ID=192, label=0, output_node=83, voltage=0.010158366523683071
    time_span=0.0001s, test_ID=192, label=0, output_node=84, voltage=0.016528885811567307
    time_span=0.0001s, test_ID=192, label=0, output_node=85, voltage=0.01993127539753914
    time_span=0.0001s, test_ID=192, label=0, output_node=86, voltage=0.013798804953694344
    time_span=0.0001s, test_ID=192, label=0, output_node=87, voltage=0.012791832908987999
    time_span=0.0001s, test_ID=192, label=0, output_node=88, voltage=0.017305776476860046
    time_span=0.0001s, test_ID=192, label=0, output_node=89, voltage=0.015573704615235329
    time_span=0.0001s, test_ID=192, label=0, output_node=90, voltage=0.013752988539636135
    time_span=0.0001s, test_ID=192, label=0, output_node=91, voltage=0.018416335806250572
    time_span=0.0001s, test_ID=192, label=0, output_node=92, voltage=0.023939242586493492
    time_span=0.0001s, test_ID=192, label=0, output_node=93, voltage=0.01190537866204977
    time_span=0.0001s, test_ID=192, label=0, output_node=94, voltage=0.01164740975946188
    time_span=0.0001s, test_ID=192, label=0, output_node=95, voltage=0.0126942228525877
    time_span=0.0001s, test_ID=192, label=0, output_node=96, voltage=0.01418924331665039
    time_span=0.0001s, test_ID=192, label=0, output_node=97, voltage=0.017688246443867683
    time_span=0.0001s, test_ID=192, label=0, output_node=98, voltage=0.016301793977618217
    time_span=0.0001s, test_ID=192, label=0, output_node=99, voltage=0.015361553058028221
    time_span=0.0001s, test_ID=192, label=0, output_node=sum, voltage=0.039289843291044235
    Time consumed for 1 sample = 1204.6972386837006 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '192'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=193, label=9, output_node=bkg, voltage=-0.00447111576795578
    time_span=0.0001s, test_ID=193, label=9, output_node=0, voltage=0.004729083739221096
    time_span=0.0001s, test_ID=193, label=9, output_node=1, voltage=0.007038845214992762
    time_span=0.0001s, test_ID=193, label=9, output_node=2, voltage=0.015438247472047806
    time_span=0.0001s, test_ID=193, label=9, output_node=3, voltage=0.007581673096865416
    time_span=0.0001s, test_ID=193, label=9, output_node=4, voltage=0.008570716716349125
    time_span=0.0001s, test_ID=193, label=9, output_node=5, voltage=0.009169322438538074
    time_span=0.0001s, test_ID=193, label=9, output_node=6, voltage=0.005423306953161955
    time_span=0.0001s, test_ID=193, label=9, output_node=7, voltage=0.01103187259286642
    time_span=0.0001s, test_ID=193, label=9, output_node=8, voltage=0.007845617830753326
    time_span=0.0001s, test_ID=193, label=9, output_node=9, voltage=0.008858566172420979
    time_span=0.0001s, test_ID=193, label=9, output_node=10, voltage=0.004786852281540632
    time_span=0.0001s, test_ID=193, label=9, output_node=11, voltage=0.00983565766364336
    time_span=0.0001s, test_ID=193, label=9, output_node=12, voltage=0.012189243920147419
    time_span=0.0001s, test_ID=193, label=9, output_node=13, voltage=0.00658764922991395
    time_span=0.0001s, test_ID=193, label=9, output_node=14, voltage=0.011472112499177456
    time_span=0.0001s, test_ID=193, label=9, output_node=15, voltage=0.010798804461956024
    time_span=0.0001s, test_ID=193, label=9, output_node=16, voltage=0.00769521901383996
    time_span=0.0001s, test_ID=193, label=9, output_node=17, voltage=0.009230080060660839
    time_span=0.0001s, test_ID=193, label=9, output_node=18, voltage=0.007315737195312977
    time_span=0.0001s, test_ID=193, label=9, output_node=19, voltage=0.009733066894114017
    time_span=0.0001s, test_ID=193, label=9, output_node=20, voltage=0.006389442831277847
    time_span=0.0001s, test_ID=193, label=9, output_node=21, voltage=0.008213147521018982
    time_span=0.0001s, test_ID=193, label=9, output_node=22, voltage=0.00931474193930626
    time_span=0.0001s, test_ID=193, label=9, output_node=23, voltage=0.00850996095687151
    time_span=0.0001s, test_ID=193, label=9, output_node=24, voltage=0.01364442240446806
    time_span=0.0001s, test_ID=193, label=9, output_node=25, voltage=0.004429283086210489
    time_span=0.0001s, test_ID=193, label=9, output_node=26, voltage=0.004349600989371538
    time_span=0.0001s, test_ID=193, label=9, output_node=27, voltage=0.011931275017559528
    time_span=0.0001s, test_ID=193, label=9, output_node=28, voltage=0.008587649092078209
    time_span=0.0001s, test_ID=193, label=9, output_node=29, voltage=0.011534860357642174
    time_span=0.0001s, test_ID=193, label=9, output_node=30, voltage=0.009781872853636742
    time_span=0.0001s, test_ID=193, label=9, output_node=31, voltage=0.007782868575304747
    time_span=0.0001s, test_ID=193, label=9, output_node=32, voltage=0.006957171484827995
    time_span=0.0001s, test_ID=193, label=9, output_node=33, voltage=0.010399402119219303
    time_span=0.0001s, test_ID=193, label=9, output_node=34, voltage=0.00999402441084385
    time_span=0.0001s, test_ID=193, label=9, output_node=35, voltage=0.00975498091429472
    time_span=0.0001s, test_ID=193, label=9, output_node=36, voltage=0.009049801155924797
    time_span=0.0001s, test_ID=193, label=9, output_node=37, voltage=0.008273905143141747
    time_span=0.0001s, test_ID=193, label=9, output_node=38, voltage=0.007588645443320274
    time_span=0.0001s, test_ID=193, label=9, output_node=39, voltage=0.009776892140507698
    time_span=0.0001s, test_ID=193, label=9, output_node=40, voltage=0.008625498041510582
    time_span=0.0001s, test_ID=193, label=9, output_node=41, voltage=0.010432272218167782
    time_span=0.0001s, test_ID=193, label=9, output_node=42, voltage=0.00623007956892252
    time_span=0.0001s, test_ID=193, label=9, output_node=43, voltage=0.009916335344314575
    time_span=0.0001s, test_ID=193, label=9, output_node=44, voltage=0.011006972752511501
    time_span=0.0001s, test_ID=193, label=9, output_node=45, voltage=0.013443227857351303
    time_span=0.0001s, test_ID=193, label=9, output_node=46, voltage=0.013362550176680088
    time_span=0.0001s, test_ID=193, label=9, output_node=47, voltage=0.009607569314539433
    time_span=0.0001s, test_ID=193, label=9, output_node=48, voltage=0.005986055824905634
    time_span=0.0001s, test_ID=193, label=9, output_node=49, voltage=0.008872509002685547
    time_span=0.0001s, test_ID=193, label=9, output_node=50, voltage=0.01092330738902092
    time_span=0.0001s, test_ID=193, label=9, output_node=51, voltage=0.009635457769036293
    time_span=0.0001s, test_ID=193, label=9, output_node=52, voltage=0.006085657514631748
    time_span=0.0001s, test_ID=193, label=9, output_node=53, voltage=0.008371513336896896
    time_span=0.0001s, test_ID=193, label=9, output_node=54, voltage=0.007729083765298128
    time_span=0.0001s, test_ID=193, label=9, output_node=55, voltage=0.010471115820109844
    time_span=0.0001s, test_ID=193, label=9, output_node=56, voltage=0.00995717104524374
    time_span=0.0001s, test_ID=193, label=9, output_node=57, voltage=0.010990040376782417
    time_span=0.0001s, test_ID=193, label=9, output_node=58, voltage=0.010367530398070812
    time_span=0.0001s, test_ID=193, label=9, output_node=59, voltage=0.007472111843526363
    time_span=0.0001s, test_ID=193, label=9, output_node=60, voltage=0.007120518013834953
    time_span=0.0001s, test_ID=193, label=9, output_node=61, voltage=0.009642429649829865
    time_span=0.0001s, test_ID=193, label=9, output_node=62, voltage=0.011877489276230335
    time_span=0.0001s, test_ID=193, label=9, output_node=63, voltage=0.011540836654603481
    time_span=0.0001s, test_ID=193, label=9, output_node=64, voltage=0.00897908303886652
    time_span=0.0001s, test_ID=193, label=9, output_node=65, voltage=0.009712152183055878
    time_span=0.0001s, test_ID=193, label=9, output_node=66, voltage=0.008455179631710052
    time_span=0.0001s, test_ID=193, label=9, output_node=67, voltage=0.008803785778582096
    time_span=0.0001s, test_ID=193, label=9, output_node=68, voltage=0.014161353930830956
    time_span=0.0001s, test_ID=193, label=9, output_node=69, voltage=0.008856574073433876
    time_span=0.0001s, test_ID=193, label=9, output_node=70, voltage=0.006748008541762829
    time_span=0.0001s, test_ID=193, label=9, output_node=71, voltage=0.008000995963811874
    time_span=0.0001s, test_ID=193, label=9, output_node=72, voltage=0.010245020501315594
    time_span=0.0001s, test_ID=193, label=9, output_node=73, voltage=0.0084043825045228
    time_span=0.0001s, test_ID=193, label=9, output_node=74, voltage=0.005394422449171543
    time_span=0.0001s, test_ID=193, label=9, output_node=75, voltage=0.011110558174550533
    time_span=0.0001s, test_ID=193, label=9, output_node=76, voltage=0.011585657484829426
    time_span=0.0001s, test_ID=193, label=9, output_node=77, voltage=0.009086653590202332
    time_span=0.0001s, test_ID=193, label=9, output_node=78, voltage=0.011337650008499622
    time_span=0.0001s, test_ID=193, label=9, output_node=79, voltage=0.01055079698562622
    time_span=0.0001s, test_ID=193, label=9, output_node=80, voltage=0.010181275196373463
    time_span=0.0001s, test_ID=193, label=9, output_node=81, voltage=0.009609561413526535
    time_span=0.0001s, test_ID=193, label=9, output_node=82, voltage=0.002633466152474284
    time_span=0.0001s, test_ID=193, label=9, output_node=83, voltage=0.015731075778603554
    time_span=0.0001s, test_ID=193, label=9, output_node=84, voltage=0.004651394672691822
    time_span=0.0001s, test_ID=193, label=9, output_node=85, voltage=0.008836653083562851
    time_span=0.0001s, test_ID=193, label=9, output_node=86, voltage=0.012979083694517612
    time_span=0.0001s, test_ID=193, label=9, output_node=87, voltage=0.010404381901025772
    time_span=0.0001s, test_ID=193, label=9, output_node=88, voltage=0.009368525817990303
    time_span=0.0001s, test_ID=193, label=9, output_node=89, voltage=0.010126493871212006
    time_span=0.0001s, test_ID=193, label=9, output_node=90, voltage=0.007301792502403259
    time_span=0.0001s, test_ID=193, label=9, output_node=91, voltage=0.010448207147419453
    time_span=0.0001s, test_ID=193, label=9, output_node=92, voltage=0.0041862549260258675
    time_span=0.0001s, test_ID=193, label=9, output_node=93, voltage=0.014048805460333824
    time_span=0.0001s, test_ID=193, label=9, output_node=94, voltage=0.01157470140606165
    time_span=0.0001s, test_ID=193, label=9, output_node=95, voltage=0.010965140536427498
    time_span=0.0001s, test_ID=193, label=9, output_node=96, voltage=0.010096613317728043
    time_span=0.0001s, test_ID=193, label=9, output_node=97, voltage=0.009753984399139881
    time_span=0.0001s, test_ID=193, label=9, output_node=98, voltage=0.008363545872271061
    time_span=0.0001s, test_ID=193, label=9, output_node=99, voltage=0.009981075301766396
    time_span=0.0001s, test_ID=193, label=9, output_node=sum, voltage=0.025233067572116852
    Time consumed for 1 sample = 1198.9469175338745 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '193'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=194, label=0, output_node=bkg, voltage=-0.00536454189568758
    time_span=0.0001s, test_ID=194, label=0, output_node=0, voltage=0.013569721020758152
    time_span=0.0001s, test_ID=194, label=0, output_node=1, voltage=0.015858566388487816
    time_span=0.0001s, test_ID=194, label=0, output_node=2, voltage=0.01233764924108982
    time_span=0.0001s, test_ID=194, label=0, output_node=3, voltage=0.01753685250878334
    time_span=0.0001s, test_ID=194, label=0, output_node=4, voltage=0.012534860521554947
    time_span=0.0001s, test_ID=194, label=0, output_node=5, voltage=0.009327689185738564
    time_span=0.0001s, test_ID=194, label=0, output_node=6, voltage=0.01982569508254528
    time_span=0.0001s, test_ID=194, label=0, output_node=7, voltage=0.015728088095784187
    time_span=0.0001s, test_ID=194, label=0, output_node=8, voltage=0.01870816759765148
    time_span=0.0001s, test_ID=194, label=0, output_node=9, voltage=0.014898406341671944
    time_span=0.0001s, test_ID=194, label=0, output_node=10, voltage=0.014140438288450241
    time_span=0.0001s, test_ID=194, label=0, output_node=11, voltage=0.017017928883433342
    time_span=0.0001s, test_ID=194, label=0, output_node=12, voltage=0.01752191223204136
    time_span=0.0001s, test_ID=194, label=0, output_node=13, voltage=0.014725100249052048
    time_span=0.0001s, test_ID=194, label=0, output_node=14, voltage=0.02143426425755024
    time_span=0.0001s, test_ID=194, label=0, output_node=15, voltage=0.017033865675330162
    time_span=0.0001s, test_ID=194, label=0, output_node=16, voltage=0.01174900308251381
    time_span=0.0001s, test_ID=194, label=0, output_node=17, voltage=0.013795817270874977
    time_span=0.0001s, test_ID=194, label=0, output_node=18, voltage=0.017640437930822372
    time_span=0.0001s, test_ID=194, label=0, output_node=19, voltage=0.013074700720608234
    time_span=0.0001s, test_ID=194, label=0, output_node=20, voltage=0.018690237775444984
    time_span=0.0001s, test_ID=194, label=0, output_node=21, voltage=0.0189372505992651
    time_span=0.0001s, test_ID=194, label=0, output_node=22, voltage=0.01509860623627901
    time_span=0.0001s, test_ID=194, label=0, output_node=23, voltage=0.018081672489643097
    time_span=0.0001s, test_ID=194, label=0, output_node=24, voltage=0.01630776934325695
    time_span=0.0001s, test_ID=194, label=0, output_node=25, voltage=0.017373505979776382
    time_span=0.0001s, test_ID=194, label=0, output_node=26, voltage=0.011426295153796673
    time_span=0.0001s, test_ID=194, label=0, output_node=27, voltage=0.016741035506129265
    time_span=0.0001s, test_ID=194, label=0, output_node=28, voltage=0.011992031708359718
    time_span=0.0001s, test_ID=194, label=0, output_node=29, voltage=0.016957173123955727
    time_span=0.0001s, test_ID=194, label=0, output_node=30, voltage=0.01577490195631981
    time_span=0.0001s, test_ID=194, label=0, output_node=31, voltage=0.01233864575624466
    time_span=0.0001s, test_ID=194, label=0, output_node=32, voltage=0.01649302802979946
    time_span=0.0001s, test_ID=194, label=0, output_node=33, voltage=0.018618525937199593
    time_span=0.0001s, test_ID=194, label=0, output_node=34, voltage=0.018179282546043396
    time_span=0.0001s, test_ID=194, label=0, output_node=35, voltage=0.015850597992539406
    time_span=0.0001s, test_ID=194, label=0, output_node=36, voltage=0.013480080291628838
    time_span=0.0001s, test_ID=194, label=0, output_node=37, voltage=0.011916334740817547
    time_span=0.0001s, test_ID=194, label=0, output_node=38, voltage=0.012561752460896969
    time_span=0.0001s, test_ID=194, label=0, output_node=39, voltage=0.01955777034163475
    time_span=0.0001s, test_ID=194, label=0, output_node=40, voltage=0.01501494087278843
    time_span=0.0001s, test_ID=194, label=0, output_node=41, voltage=0.014287848956882954
    time_span=0.0001s, test_ID=194, label=0, output_node=42, voltage=0.017818724736571312
    time_span=0.0001s, test_ID=194, label=0, output_node=43, voltage=0.01424203161150217
    time_span=0.0001s, test_ID=194, label=0, output_node=44, voltage=0.016885457560420036
    time_span=0.0001s, test_ID=194, label=0, output_node=45, voltage=0.01696314476430416
    time_span=0.0001s, test_ID=194, label=0, output_node=46, voltage=0.017321713268756866
    time_span=0.0001s, test_ID=194, label=0, output_node=47, voltage=0.017865538597106934
    time_span=0.0001s, test_ID=194, label=0, output_node=48, voltage=0.014256971888244152
    time_span=0.0001s, test_ID=194, label=0, output_node=49, voltage=0.01102490071207285
    time_span=0.0001s, test_ID=194, label=0, output_node=50, voltage=0.018998010084033012
    time_span=0.0001s, test_ID=194, label=0, output_node=51, voltage=0.020421316847205162
    time_span=0.0001s, test_ID=194, label=0, output_node=52, voltage=0.008645419031381607
    time_span=0.0001s, test_ID=194, label=0, output_node=53, voltage=0.012473108246922493
    time_span=0.0001s, test_ID=194, label=0, output_node=54, voltage=0.012359562329947948
    time_span=0.0001s, test_ID=194, label=0, output_node=55, voltage=0.012072709389030933
    time_span=0.0001s, test_ID=194, label=0, output_node=56, voltage=0.020347610116004944
    time_span=0.0001s, test_ID=194, label=0, output_node=57, voltage=0.020000997930765152
    time_span=0.0001s, test_ID=194, label=0, output_node=58, voltage=0.016158366575837135
    time_span=0.0001s, test_ID=194, label=0, output_node=59, voltage=0.010622510686516762
    time_span=0.0001s, test_ID=194, label=0, output_node=60, voltage=0.016039840877056122
    time_span=0.0001s, test_ID=194, label=0, output_node=61, voltage=0.00989641435444355
    time_span=0.0001s, test_ID=194, label=0, output_node=62, voltage=0.017525896430015564
    time_span=0.0001s, test_ID=194, label=0, output_node=63, voltage=0.0199302788823843
    time_span=0.0001s, test_ID=194, label=0, output_node=64, voltage=0.015412349253892899
    time_span=0.0001s, test_ID=194, label=0, output_node=65, voltage=0.013242032378911972
    time_span=0.0001s, test_ID=194, label=0, output_node=66, voltage=0.01683466136455536
    time_span=0.0001s, test_ID=194, label=0, output_node=67, voltage=0.016012948006391525
    time_span=0.0001s, test_ID=194, label=0, output_node=68, voltage=0.019943227991461754
    time_span=0.0001s, test_ID=194, label=0, output_node=69, voltage=0.018414342775940895
    time_span=0.0001s, test_ID=194, label=0, output_node=70, voltage=0.00892629474401474
    time_span=0.0001s, test_ID=194, label=0, output_node=71, voltage=0.020056774839758873
    time_span=0.0001s, test_ID=194, label=0, output_node=72, voltage=0.015333665534853935
    time_span=0.0001s, test_ID=194, label=0, output_node=73, voltage=0.0180149395018816
    time_span=0.0001s, test_ID=194, label=0, output_node=74, voltage=0.01155876461416483
    time_span=0.0001s, test_ID=194, label=0, output_node=75, voltage=0.017037848010659218
    time_span=0.0001s, test_ID=194, label=0, output_node=76, voltage=0.01966434344649315
    time_span=0.0001s, test_ID=194, label=0, output_node=77, voltage=0.01541135460138321
    time_span=0.0001s, test_ID=194, label=0, output_node=78, voltage=0.01784362643957138
    time_span=0.0001s, test_ID=194, label=0, output_node=79, voltage=0.016346612945199013
    time_span=0.0001s, test_ID=194, label=0, output_node=80, voltage=0.01524501945823431
    time_span=0.0001s, test_ID=194, label=0, output_node=81, voltage=0.019902389496564865
    time_span=0.0001s, test_ID=194, label=0, output_node=82, voltage=0.017858566716313362
    time_span=0.0001s, test_ID=194, label=0, output_node=83, voltage=0.01836155354976654
    time_span=0.0001s, test_ID=194, label=0, output_node=84, voltage=0.011354582384228706
    time_span=0.0001s, test_ID=194, label=0, output_node=85, voltage=0.020474104210734367
    time_span=0.0001s, test_ID=194, label=0, output_node=86, voltage=0.012467131949961185
    time_span=0.0001s, test_ID=194, label=0, output_node=87, voltage=0.014750995673239231
    time_span=0.0001s, test_ID=194, label=0, output_node=88, voltage=0.016884461045265198
    time_span=0.0001s, test_ID=194, label=0, output_node=89, voltage=0.015165339224040508
    time_span=0.0001s, test_ID=194, label=0, output_node=90, voltage=0.01931573636829853
    time_span=0.0001s, test_ID=194, label=0, output_node=91, voltage=0.016943229362368584
    time_span=0.0001s, test_ID=194, label=0, output_node=92, voltage=0.02250099554657936
    time_span=0.0001s, test_ID=194, label=0, output_node=93, voltage=0.0161882471293211
    time_span=0.0001s, test_ID=194, label=0, output_node=94, voltage=0.017854580655694008
    time_span=0.0001s, test_ID=194, label=0, output_node=95, voltage=0.013691235333681107
    time_span=0.0001s, test_ID=194, label=0, output_node=96, voltage=0.01537051796913147
    time_span=0.0001s, test_ID=194, label=0, output_node=97, voltage=0.020588647574186325
    time_span=0.0001s, test_ID=194, label=0, output_node=98, voltage=0.017340637743473053
    time_span=0.0001s, test_ID=194, label=0, output_node=99, voltage=0.017896417528390884
    time_span=0.0001s, test_ID=194, label=0, output_node=sum, voltage=0.03775298595428467
    Time consumed for 1 sample = 1206.5608777999878 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '194'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=195, label=3, output_node=bkg, voltage=-0.003943226765841246
    time_span=0.0001s, test_ID=195, label=3, output_node=0, voltage=-0.00028685267898254097
    time_span=0.0001s, test_ID=195, label=3, output_node=1, voltage=0.001936255139298737
    time_span=0.0001s, test_ID=195, label=3, output_node=2, voltage=0.003467131406068802
    time_span=0.0001s, test_ID=195, label=3, output_node=3, voltage=0.002545817056670785
    time_span=0.0001s, test_ID=195, label=3, output_node=4, voltage=0.0016842628829181194
    time_span=0.0001s, test_ID=195, label=3, output_node=5, voltage=0.005261952057480812
    time_span=0.0001s, test_ID=195, label=3, output_node=6, voltage=0.0038555776700377464
    time_span=0.0001s, test_ID=195, label=3, output_node=7, voltage=0.005535856354981661
    time_span=0.0001s, test_ID=195, label=3, output_node=8, voltage=0.0010039840126410127
    time_span=0.0001s, test_ID=195, label=3, output_node=9, voltage=0.0011802789522334933
    time_span=0.0001s, test_ID=195, label=3, output_node=10, voltage=0.0028087650425732136
    time_span=0.0001s, test_ID=195, label=3, output_node=11, voltage=0.0036782866809517145
    time_span=0.0001s, test_ID=195, label=3, output_node=12, voltage=0.002862549852579832
    time_span=0.0001s, test_ID=195, label=3, output_node=13, voltage=0.0009571713162586093
    time_span=0.0001s, test_ID=195, label=3, output_node=14, voltage=0.00020219130965415388
    time_span=0.0001s, test_ID=195, label=3, output_node=15, voltage=0.002138446317985654
    time_span=0.0001s, test_ID=195, label=3, output_node=16, voltage=0.006682270672172308
    time_span=0.0001s, test_ID=195, label=3, output_node=17, voltage=0.006455179303884506
    time_span=0.0001s, test_ID=195, label=3, output_node=18, voltage=0.0037410359364002943
    time_span=0.0001s, test_ID=195, label=3, output_node=19, voltage=0.003368525765836239
    time_span=0.0001s, test_ID=195, label=3, output_node=20, voltage=0.0023555776569992304
    time_span=0.0001s, test_ID=195, label=3, output_node=21, voltage=0.003777888137847185
    time_span=0.0001s, test_ID=195, label=3, output_node=22, voltage=0.004549800418317318
    time_span=0.0001s, test_ID=195, label=3, output_node=23, voltage=-0.00013545803085435182
    time_span=0.0001s, test_ID=195, label=3, output_node=24, voltage=0.0031035856809467077
    time_span=0.0001s, test_ID=195, label=3, output_node=25, voltage=0.001040836563333869
    time_span=0.0001s, test_ID=195, label=3, output_node=26, voltage=0.0005039840470999479
    time_span=0.0001s, test_ID=195, label=3, output_node=27, voltage=0.002482071751728654
    time_span=0.0001s, test_ID=195, label=3, output_node=28, voltage=0.004556772764772177
    time_span=0.0001s, test_ID=195, label=3, output_node=29, voltage=0.0027988047804683447
    time_span=0.0001s, test_ID=195, label=3, output_node=30, voltage=0.0012898406712338328
    time_span=0.0001s, test_ID=195, label=3, output_node=31, voltage=0.0012768924934789538
    time_span=0.0001s, test_ID=195, label=3, output_node=32, voltage=0.0005996015970595181
    time_span=0.0001s, test_ID=195, label=3, output_node=33, voltage=0.0012549801031127572
    time_span=0.0001s, test_ID=195, label=3, output_node=34, voltage=0.0014651394449174404
    time_span=0.0001s, test_ID=195, label=3, output_node=35, voltage=0.0021344623528420925
    time_span=0.0001s, test_ID=195, label=3, output_node=36, voltage=0.0022798804566264153
    time_span=0.0001s, test_ID=195, label=3, output_node=37, voltage=0.0048177288845181465
    time_span=0.0001s, test_ID=195, label=3, output_node=38, voltage=0.0023077689111232758
    time_span=0.0001s, test_ID=195, label=3, output_node=39, voltage=0.0032001989893615246
    time_span=0.0001s, test_ID=195, label=3, output_node=40, voltage=0.0017051792237907648
    time_span=0.0001s, test_ID=195, label=3, output_node=41, voltage=0.0015009960625320673
    time_span=0.0001s, test_ID=195, label=3, output_node=42, voltage=-0.0014203187311068177
    time_span=0.0001s, test_ID=195, label=3, output_node=43, voltage=0.003742031753063202
    time_span=0.0001s, test_ID=195, label=3, output_node=44, voltage=0.0030876495875418186
    time_span=0.0001s, test_ID=195, label=3, output_node=45, voltage=0.0017470117891207337
    time_span=0.0001s, test_ID=195, label=3, output_node=46, voltage=0.0024013943038880825
    time_span=0.0001s, test_ID=195, label=3, output_node=47, voltage=0.002574701327830553
    time_span=0.0001s, test_ID=195, label=3, output_node=48, voltage=0.0011474104830995202
    time_span=0.0001s, test_ID=195, label=3, output_node=49, voltage=0.0006424302700906992
    time_span=0.0001s, test_ID=195, label=3, output_node=50, voltage=0.00280577689409256
    time_span=0.0001s, test_ID=195, label=3, output_node=51, voltage=0.004116533789783716
    time_span=0.0001s, test_ID=195, label=3, output_node=52, voltage=0.0013027888489887118
    time_span=0.0001s, test_ID=195, label=3, output_node=53, voltage=0.00030378493829630315
    time_span=0.0001s, test_ID=195, label=3, output_node=54, voltage=0.00047310764784924686
    time_span=0.0001s, test_ID=195, label=3, output_node=55, voltage=0.0028067731764167547
    time_span=0.0001s, test_ID=195, label=3, output_node=56, voltage=-4.880468623014167e-05
    time_span=0.0001s, test_ID=195, label=3, output_node=57, voltage=0.004540836438536644
    time_span=0.0001s, test_ID=195, label=3, output_node=58, voltage=0.0015906373737379909
    time_span=0.0001s, test_ID=195, label=3, output_node=59, voltage=-3.784859291044995e-05
    time_span=0.0001s, test_ID=195, label=3, output_node=60, voltage=0.004626493901014328
    time_span=0.0001s, test_ID=195, label=3, output_node=61, voltage=0.000383466191124171
    time_span=0.0001s, test_ID=195, label=3, output_node=62, voltage=0.0033027888275682926
    time_span=0.0001s, test_ID=195, label=3, output_node=63, voltage=0.004214143846184015
    time_span=0.0001s, test_ID=195, label=3, output_node=64, voltage=0.0043705180287361145
    time_span=0.0001s, test_ID=195, label=3, output_node=65, voltage=0.002208167454227805
    time_span=0.0001s, test_ID=195, label=3, output_node=66, voltage=0.0030896414536982775
    time_span=0.0001s, test_ID=195, label=3, output_node=67, voltage=0.0032181276474148035
    time_span=0.0001s, test_ID=195, label=3, output_node=68, voltage=0.0011543824803084135
    time_span=0.0001s, test_ID=195, label=3, output_node=69, voltage=0.0030876495875418186
    time_span=0.0001s, test_ID=195, label=3, output_node=70, voltage=0.002048804657533765
    time_span=0.0001s, test_ID=195, label=3, output_node=71, voltage=0.00027888448676094413
    time_span=0.0001s, test_ID=195, label=3, output_node=72, voltage=0.0017908369190990925
    time_span=0.0001s, test_ID=195, label=3, output_node=73, voltage=0.000743027834687382
    time_span=0.0001s, test_ID=195, label=3, output_node=74, voltage=0.003362549701705575
    time_span=0.0001s, test_ID=195, label=3, output_node=75, voltage=0.0030756972264498472
    time_span=0.0001s, test_ID=195, label=3, output_node=76, voltage=0.001237051677890122
    time_span=0.0001s, test_ID=195, label=3, output_node=77, voltage=0.0031872510444372892
    time_span=0.0001s, test_ID=195, label=3, output_node=78, voltage=0.0027161352336406708
    time_span=0.0001s, test_ID=195, label=3, output_node=79, voltage=0.0031424304470419884
    time_span=0.0001s, test_ID=195, label=3, output_node=80, voltage=0.00015239040658343583
    time_span=0.0001s, test_ID=195, label=3, output_node=81, voltage=0.003087649354711175
    time_span=0.0001s, test_ID=195, label=3, output_node=82, voltage=0.001637450186535716
    time_span=0.0001s, test_ID=195, label=3, output_node=83, voltage=0.0027519920840859413
    time_span=0.0001s, test_ID=195, label=3, output_node=84, voltage=0.0015129483072087169
    time_span=0.0001s, test_ID=195, label=3, output_node=85, voltage=0.000835657468996942
    time_span=0.0001s, test_ID=195, label=3, output_node=86, voltage=0.0018037849804386497
    time_span=0.0001s, test_ID=195, label=3, output_node=87, voltage=0.004065736662596464
    time_span=0.0001s, test_ID=195, label=3, output_node=88, voltage=0.0021802789997309446
    time_span=0.0001s, test_ID=195, label=3, output_node=89, voltage=0.0019860558677464724
    time_span=0.0001s, test_ID=195, label=3, output_node=90, voltage=0.004038844723254442
    time_span=0.0001s, test_ID=195, label=3, output_node=91, voltage=0.0012091632233932614
    time_span=0.0001s, test_ID=195, label=3, output_node=92, voltage=0.0007739043212495744
    time_span=0.0001s, test_ID=195, label=3, output_node=93, voltage=0.00198406376875937
    time_span=0.0001s, test_ID=195, label=3, output_node=94, voltage=0.0005278884200379252
    time_span=0.0001s, test_ID=195, label=3, output_node=95, voltage=0.0017231078818440437
    time_span=0.0001s, test_ID=195, label=3, output_node=96, voltage=0.0021623503416776657
    time_span=0.0001s, test_ID=195, label=3, output_node=97, voltage=0.00140836660284549
    time_span=0.0001s, test_ID=195, label=3, output_node=98, voltage=0.000788844539783895
    time_span=0.0001s, test_ID=195, label=3, output_node=99, voltage=0.003376494161784649
    time_span=0.0001s, test_ID=195, label=3, output_node=sum, voltage=0.008248007856309414
    Time consumed for 1 sample = 1199.6495254039764 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '195'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=196, label=1, output_node=bkg, voltage=-0.005982071626931429
    time_span=0.0001s, test_ID=196, label=1, output_node=0, voltage=0.009152390994131565
    time_span=0.0001s, test_ID=196, label=1, output_node=1, voltage=0.008064741268754005
    time_span=0.0001s, test_ID=196, label=1, output_node=2, voltage=0.004199202638119459
    time_span=0.0001s, test_ID=196, label=1, output_node=3, voltage=0.007500000298023224
    time_span=0.0001s, test_ID=196, label=1, output_node=4, voltage=0.007455179467797279
    time_span=0.0001s, test_ID=196, label=1, output_node=5, voltage=0.0047400398179888725
    time_span=0.0001s, test_ID=196, label=1, output_node=6, voltage=0.009000997059047222
    time_span=0.0001s, test_ID=196, label=1, output_node=7, voltage=0.006594621576368809
    time_span=0.0001s, test_ID=196, label=1, output_node=8, voltage=0.005432270932942629
    time_span=0.0001s, test_ID=196, label=1, output_node=9, voltage=0.003518924117088318
    time_span=0.0001s, test_ID=196, label=1, output_node=10, voltage=0.00774203147739172
    time_span=0.0001s, test_ID=196, label=1, output_node=11, voltage=0.007102589588612318
    time_span=0.0001s, test_ID=196, label=1, output_node=12, voltage=0.0018575696740299463
    time_span=0.0001s, test_ID=196, label=1, output_node=13, voltage=0.0066882469691336155
    time_span=0.0001s, test_ID=196, label=1, output_node=14, voltage=0.007885457947850227
    time_span=0.0001s, test_ID=196, label=1, output_node=15, voltage=0.004244023468345404
    time_span=0.0001s, test_ID=196, label=1, output_node=16, voltage=0.010455179028213024
    time_span=0.0001s, test_ID=196, label=1, output_node=17, voltage=0.0045258961617946625
    time_span=0.0001s, test_ID=196, label=1, output_node=18, voltage=0.006599601823836565
    time_span=0.0001s, test_ID=196, label=1, output_node=19, voltage=0.009616533294320107
    time_span=0.0001s, test_ID=196, label=1, output_node=20, voltage=0.005651394836604595
    time_span=0.0001s, test_ID=196, label=1, output_node=21, voltage=0.009469123557209969
    time_span=0.0001s, test_ID=196, label=1, output_node=22, voltage=0.0066444226540625095
    time_span=0.0001s, test_ID=196, label=1, output_node=23, voltage=0.011493027210235596
    time_span=0.0001s, test_ID=196, label=1, output_node=24, voltage=0.0052260952070355415
    time_span=0.0001s, test_ID=196, label=1, output_node=25, voltage=0.009984063915908337
    time_span=0.0001s, test_ID=196, label=1, output_node=26, voltage=0.005409362725913525
    time_span=0.0001s, test_ID=196, label=1, output_node=27, voltage=0.008754979819059372
    time_span=0.0001s, test_ID=196, label=1, output_node=28, voltage=0.013725100085139275
    time_span=0.0001s, test_ID=196, label=1, output_node=29, voltage=0.0068127489648759365
    time_span=0.0001s, test_ID=196, label=1, output_node=30, voltage=0.003970119636505842
    time_span=0.0001s, test_ID=196, label=1, output_node=31, voltage=0.006661354564130306
    time_span=0.0001s, test_ID=196, label=1, output_node=32, voltage=0.008009959943592548
    time_span=0.0001s, test_ID=196, label=1, output_node=33, voltage=0.00438047805801034
    time_span=0.0001s, test_ID=196, label=1, output_node=34, voltage=0.0043356576934456825
    time_span=0.0001s, test_ID=196, label=1, output_node=35, voltage=0.010734064504504204
    time_span=0.0001s, test_ID=196, label=1, output_node=36, voltage=0.0007380478200502694
    time_span=0.0001s, test_ID=196, label=1, output_node=37, voltage=0.005902390461415052
    time_span=0.0001s, test_ID=196, label=1, output_node=38, voltage=0.006411354523152113
    time_span=0.0001s, test_ID=196, label=1, output_node=39, voltage=0.009745020419359207
    time_span=0.0001s, test_ID=196, label=1, output_node=40, voltage=0.007740039844065905
    time_span=0.0001s, test_ID=196, label=1, output_node=41, voltage=0.005915338639169931
    time_span=0.0001s, test_ID=196, label=1, output_node=42, voltage=0.00840936228632927
    time_span=0.0001s, test_ID=196, label=1, output_node=43, voltage=0.010675298050045967
    time_span=0.0001s, test_ID=196, label=1, output_node=44, voltage=0.008609562180936337
    time_span=0.0001s, test_ID=196, label=1, output_node=45, voltage=0.009722110815346241
    time_span=0.0001s, test_ID=196, label=1, output_node=46, voltage=0.0070009962655603886
    time_span=0.0001s, test_ID=196, label=1, output_node=47, voltage=0.0068436251021921635
    time_span=0.0001s, test_ID=196, label=1, output_node=48, voltage=0.005970119033008814
    time_span=0.0001s, test_ID=196, label=1, output_node=49, voltage=0.010772908106446266
    time_span=0.0001s, test_ID=196, label=1, output_node=50, voltage=0.006121513899415731
    time_span=0.0001s, test_ID=196, label=1, output_node=51, voltage=0.009210159070789814
    time_span=0.0001s, test_ID=196, label=1, output_node=52, voltage=0.013934263028204441
    time_span=0.0001s, test_ID=196, label=1, output_node=53, voltage=0.00810956209897995
    time_span=0.0001s, test_ID=196, label=1, output_node=54, voltage=0.008263944648206234
    time_span=0.0001s, test_ID=196, label=1, output_node=55, voltage=0.014259960502386093
    time_span=0.0001s, test_ID=196, label=1, output_node=56, voltage=0.0051015932112932205
    time_span=0.0001s, test_ID=196, label=1, output_node=57, voltage=0.008026892319321632
    time_span=0.0001s, test_ID=196, label=1, output_node=58, voltage=0.006328685209155083
    time_span=0.0001s, test_ID=196, label=1, output_node=59, voltage=0.007245020009577274
    time_span=0.0001s, test_ID=196, label=1, output_node=60, voltage=0.0076982066966593266
    time_span=0.0001s, test_ID=196, label=1, output_node=61, voltage=0.003536852775141597
    time_span=0.0001s, test_ID=196, label=1, output_node=62, voltage=0.006088645197451115
    time_span=0.0001s, test_ID=196, label=1, output_node=63, voltage=0.008670318871736526
    time_span=0.0001s, test_ID=196, label=1, output_node=64, voltage=0.0073326691053807735
    time_span=0.0001s, test_ID=196, label=1, output_node=65, voltage=0.008093626238405704
    time_span=0.0001s, test_ID=196, label=1, output_node=66, voltage=0.0018695220351219177
    time_span=0.0001s, test_ID=196, label=1, output_node=67, voltage=0.010312749072909355
    time_span=0.0001s, test_ID=196, label=1, output_node=68, voltage=0.008388446643948555
    time_span=0.0001s, test_ID=196, label=1, output_node=69, voltage=0.006152390502393246
    time_span=0.0001s, test_ID=196, label=1, output_node=70, voltage=0.002009960124269128
    time_span=0.0001s, test_ID=196, label=1, output_node=71, voltage=0.0027868524193763733
    time_span=0.0001s, test_ID=196, label=1, output_node=72, voltage=0.005567729007452726
    time_span=0.0001s, test_ID=196, label=1, output_node=73, voltage=0.004596613347530365
    time_span=0.0001s, test_ID=196, label=1, output_node=74, voltage=0.014702190645039082
    time_span=0.0001s, test_ID=196, label=1, output_node=75, voltage=0.006816733628511429
    time_span=0.0001s, test_ID=196, label=1, output_node=76, voltage=0.004301792476326227
    time_span=0.0001s, test_ID=196, label=1, output_node=77, voltage=0.006007968448102474
    time_span=0.0001s, test_ID=196, label=1, output_node=78, voltage=0.0056344615295529366
    time_span=0.0001s, test_ID=196, label=1, output_node=79, voltage=0.005450199358165264
    time_span=0.0001s, test_ID=196, label=1, output_node=80, voltage=0.005428286734968424
    time_span=0.0001s, test_ID=196, label=1, output_node=81, voltage=0.0025826692581176758
    time_span=0.0001s, test_ID=196, label=1, output_node=82, voltage=0.006565737072378397
    time_span=0.0001s, test_ID=196, label=1, output_node=83, voltage=0.007831673137843609
    time_span=0.0001s, test_ID=196, label=1, output_node=84, voltage=0.005170318763703108
    time_span=0.0001s, test_ID=196, label=1, output_node=85, voltage=0.00871215108782053
    time_span=0.0001s, test_ID=196, label=1, output_node=86, voltage=0.011729083955287933
    time_span=0.0001s, test_ID=196, label=1, output_node=87, voltage=0.004440239164978266
    time_span=0.0001s, test_ID=196, label=1, output_node=88, voltage=0.005475099664181471
    time_span=0.0001s, test_ID=196, label=1, output_node=89, voltage=0.010957171209156513
    time_span=0.0001s, test_ID=196, label=1, output_node=90, voltage=0.0064810761250555515
    time_span=0.0001s, test_ID=196, label=1, output_node=91, voltage=0.004355577751994133
    time_span=0.0001s, test_ID=196, label=1, output_node=92, voltage=0.002720119431614876
    time_span=0.0001s, test_ID=196, label=1, output_node=93, voltage=0.00720019917935133
    time_span=0.0001s, test_ID=196, label=1, output_node=94, voltage=0.0046752989292144775
    time_span=0.0001s, test_ID=196, label=1, output_node=95, voltage=0.005151394288986921
    time_span=0.0001s, test_ID=196, label=1, output_node=96, voltage=0.008427291177213192
    time_span=0.0001s, test_ID=196, label=1, output_node=97, voltage=0.007807768881320953
    time_span=0.0001s, test_ID=196, label=1, output_node=98, voltage=0.007512948475778103
    time_span=0.0001s, test_ID=196, label=1, output_node=99, voltage=0.0113884462043643
    time_span=0.0001s, test_ID=196, label=1, output_node=sum, voltage=0.025349602103233337
    Time consumed for 1 sample = 1200.686919927597 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '196'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=197, label=6, output_node=bkg, voltage=-0.0035846612881869078
    time_span=0.0001s, test_ID=197, label=6, output_node=0, voltage=0.014555777423083782
    time_span=0.0001s, test_ID=197, label=6, output_node=1, voltage=0.01041334681212902
    time_span=0.0001s, test_ID=197, label=6, output_node=2, voltage=0.01511454302817583
    time_span=0.0001s, test_ID=197, label=6, output_node=3, voltage=0.017137449234724045
    time_span=0.0001s, test_ID=197, label=6, output_node=4, voltage=0.013445219956338406
    time_span=0.0001s, test_ID=197, label=6, output_node=5, voltage=0.011332669295370579
    time_span=0.0001s, test_ID=197, label=6, output_node=6, voltage=0.014972111210227013
    time_span=0.0001s, test_ID=197, label=6, output_node=7, voltage=0.015958167612552643
    time_span=0.0001s, test_ID=197, label=6, output_node=8, voltage=0.010987051762640476
    time_span=0.0001s, test_ID=197, label=6, output_node=9, voltage=0.01233067736029625
    time_span=0.0001s, test_ID=197, label=6, output_node=10, voltage=0.01343326736241579
    time_span=0.0001s, test_ID=197, label=6, output_node=11, voltage=0.015858566388487816
    time_span=0.0001s, test_ID=197, label=6, output_node=12, voltage=0.014295817352831364
    time_span=0.0001s, test_ID=197, label=6, output_node=13, voltage=0.01186454202979803
    time_span=0.0001s, test_ID=197, label=6, output_node=14, voltage=0.016754981130361557
    time_span=0.0001s, test_ID=197, label=6, output_node=15, voltage=0.013037849217653275
    time_span=0.0001s, test_ID=197, label=6, output_node=16, voltage=0.014047808945178986
    time_span=0.0001s, test_ID=197, label=6, output_node=17, voltage=0.01126294769346714
    time_span=0.0001s, test_ID=197, label=6, output_node=18, voltage=0.012473107315599918
    time_span=0.0001s, test_ID=197, label=6, output_node=19, voltage=0.019002988934516907
    time_span=0.0001s, test_ID=197, label=6, output_node=20, voltage=0.015771910548210144
    time_span=0.0001s, test_ID=197, label=6, output_node=21, voltage=0.01774701289832592
    time_span=0.0001s, test_ID=197, label=6, output_node=22, voltage=0.012459163554012775
    time_span=0.0001s, test_ID=197, label=6, output_node=23, voltage=0.01957470178604126
    time_span=0.0001s, test_ID=197, label=6, output_node=24, voltage=0.01406075619161129
    time_span=0.0001s, test_ID=197, label=6, output_node=25, voltage=0.01463446207344532
    time_span=0.0001s, test_ID=197, label=6, output_node=26, voltage=0.017378486692905426
    time_span=0.0001s, test_ID=197, label=6, output_node=27, voltage=0.014776892960071564
    time_span=0.0001s, test_ID=197, label=6, output_node=28, voltage=0.018704183399677277
    time_span=0.0001s, test_ID=197, label=6, output_node=29, voltage=0.015548805706202984
    time_span=0.0001s, test_ID=197, label=6, output_node=30, voltage=0.01014741137623787
    time_span=0.0001s, test_ID=197, label=6, output_node=31, voltage=0.020832668989896774
    time_span=0.0001s, test_ID=197, label=6, output_node=32, voltage=0.014938248321413994
    time_span=0.0001s, test_ID=197, label=6, output_node=33, voltage=0.015699204057455063
    time_span=0.0001s, test_ID=197, label=6, output_node=34, voltage=0.014368525706231594
    time_span=0.0001s, test_ID=197, label=6, output_node=35, voltage=0.014866534620523453
    time_span=0.0001s, test_ID=197, label=6, output_node=36, voltage=0.014963147230446339
    time_span=0.0001s, test_ID=197, label=6, output_node=37, voltage=0.01597709208726883
    time_span=0.0001s, test_ID=197, label=6, output_node=38, voltage=0.012622510083019733
    time_span=0.0001s, test_ID=197, label=6, output_node=39, voltage=0.018995018675923347
    time_span=0.0001s, test_ID=197, label=6, output_node=40, voltage=0.01216832734644413
    time_span=0.0001s, test_ID=197, label=6, output_node=41, voltage=0.018536852672696114
    time_span=0.0001s, test_ID=197, label=6, output_node=42, voltage=0.01709362491965294
    time_span=0.0001s, test_ID=197, label=6, output_node=43, voltage=0.020345618948340416
    time_span=0.0001s, test_ID=197, label=6, output_node=44, voltage=0.01719820685684681
    time_span=0.0001s, test_ID=197, label=6, output_node=45, voltage=0.01916932314634323
    time_span=0.0001s, test_ID=197, label=6, output_node=46, voltage=0.01627490110695362
    time_span=0.0001s, test_ID=197, label=6, output_node=47, voltage=0.020702190697193146
    time_span=0.0001s, test_ID=197, label=6, output_node=48, voltage=0.013534861616790295
    time_span=0.0001s, test_ID=197, label=6, output_node=49, voltage=0.014740039594471455
    time_span=0.0001s, test_ID=197, label=6, output_node=50, voltage=0.013394421897828579
    time_span=0.0001s, test_ID=197, label=6, output_node=51, voltage=0.01634063757956028
    time_span=0.0001s, test_ID=197, label=6, output_node=52, voltage=0.0200677290558815
    time_span=0.0001s, test_ID=197, label=6, output_node=53, voltage=0.016044821590185165
    time_span=0.0001s, test_ID=197, label=6, output_node=54, voltage=0.01905677281320095
    time_span=0.0001s, test_ID=197, label=6, output_node=55, voltage=0.01701992191374302
    time_span=0.0001s, test_ID=197, label=6, output_node=56, voltage=0.019652388989925385
    time_span=0.0001s, test_ID=197, label=6, output_node=57, voltage=0.016375498846173286
    time_span=0.0001s, test_ID=197, label=6, output_node=58, voltage=0.019844621419906616
    time_span=0.0001s, test_ID=197, label=6, output_node=59, voltage=0.017840638756752014
    time_span=0.0001s, test_ID=197, label=6, output_node=60, voltage=0.016256971284747124
    time_span=0.0001s, test_ID=197, label=6, output_node=61, voltage=0.009145417250692844
    time_span=0.0001s, test_ID=197, label=6, output_node=62, voltage=0.0186045803129673
    time_span=0.0001s, test_ID=197, label=6, output_node=63, voltage=0.017833666875958443
    time_span=0.0001s, test_ID=197, label=6, output_node=64, voltage=0.013018924742937088
    time_span=0.0001s, test_ID=197, label=6, output_node=65, voltage=0.010579681023955345
    time_span=0.0001s, test_ID=197, label=6, output_node=66, voltage=0.005905378609895706
    time_span=0.0001s, test_ID=197, label=6, output_node=67, voltage=0.012606574222445488
    time_span=0.0001s, test_ID=197, label=6, output_node=68, voltage=0.017774900421500206
    time_span=0.0001s, test_ID=197, label=6, output_node=69, voltage=0.01465438213199377
    time_span=0.0001s, test_ID=197, label=6, output_node=70, voltage=0.010002989321947098
    time_span=0.0001s, test_ID=197, label=6, output_node=71, voltage=0.014152389951050282
    time_span=0.0001s, test_ID=197, label=6, output_node=72, voltage=0.015039840713143349
    time_span=0.0001s, test_ID=197, label=6, output_node=73, voltage=0.008825697004795074
    time_span=0.0001s, test_ID=197, label=6, output_node=74, voltage=0.01764143444597721
    time_span=0.0001s, test_ID=197, label=6, output_node=75, voltage=0.01603286899626255
    time_span=0.0001s, test_ID=197, label=6, output_node=76, voltage=0.011424302123486996
    time_span=0.0001s, test_ID=197, label=6, output_node=77, voltage=0.016830677166581154
    time_span=0.0001s, test_ID=197, label=6, output_node=78, voltage=0.01629083789885044
    time_span=0.0001s, test_ID=197, label=6, output_node=79, voltage=0.016619522124528885
    time_span=0.0001s, test_ID=197, label=6, output_node=80, voltage=0.015890438109636307
    time_span=0.0001s, test_ID=197, label=6, output_node=81, voltage=0.014898405410349369
    time_span=0.0001s, test_ID=197, label=6, output_node=82, voltage=0.013407371006906033
    time_span=0.0001s, test_ID=197, label=6, output_node=83, voltage=0.014309761114418507
    time_span=0.0001s, test_ID=197, label=6, output_node=84, voltage=0.021632472053170204
    time_span=0.0001s, test_ID=197, label=6, output_node=85, voltage=0.014445219188928604
    time_span=0.0001s, test_ID=197, label=6, output_node=86, voltage=0.015294821001589298
    time_span=0.0001s, test_ID=197, label=6, output_node=87, voltage=0.01651892252266407
    time_span=0.0001s, test_ID=197, label=6, output_node=88, voltage=0.014352589845657349
    time_span=0.0001s, test_ID=197, label=6, output_node=89, voltage=0.012736055068671703
    time_span=0.0001s, test_ID=197, label=6, output_node=90, voltage=0.011893426068127155
    time_span=0.0001s, test_ID=197, label=6, output_node=91, voltage=0.01280378457158804
    time_span=0.0001s, test_ID=197, label=6, output_node=92, voltage=0.015165339224040508
    time_span=0.0001s, test_ID=197, label=6, output_node=93, voltage=0.012805777601897717
    time_span=0.0001s, test_ID=197, label=6, output_node=94, voltage=0.011554780416190624
    time_span=0.0001s, test_ID=197, label=6, output_node=95, voltage=0.0066832671873271465
    time_span=0.0001s, test_ID=197, label=6, output_node=96, voltage=0.014967132359743118
    time_span=0.0001s, test_ID=197, label=6, output_node=97, voltage=0.016403386369347572
    time_span=0.0001s, test_ID=197, label=6, output_node=98, voltage=0.009404381737112999
    time_span=0.0001s, test_ID=197, label=6, output_node=99, voltage=0.0184183269739151
    time_span=0.0001s, test_ID=197, label=6, output_node=sum, voltage=0.03546912223100662
    Time consumed for 1 sample = 1206.74578166008 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '197'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=198, label=4, output_node=bkg, voltage=-0.00496613560244441
    time_span=0.0001s, test_ID=198, label=4, output_node=0, voltage=0.0039402395486831665
    time_span=0.0001s, test_ID=198, label=4, output_node=1, voltage=0.003453186945989728
    time_span=0.0001s, test_ID=198, label=4, output_node=2, voltage=0.010364541783928871
    time_span=0.0001s, test_ID=198, label=4, output_node=3, voltage=0.006316733080893755
    time_span=0.0001s, test_ID=198, label=4, output_node=4, voltage=0.008948205970227718
    time_span=0.0001s, test_ID=198, label=4, output_node=5, voltage=0.008669323287904263
    time_span=0.0001s, test_ID=198, label=4, output_node=6, voltage=0.007950199767947197
    time_span=0.0001s, test_ID=198, label=4, output_node=7, voltage=0.007740039844065905
    time_span=0.0001s, test_ID=198, label=4, output_node=8, voltage=0.007813745178282261
    time_span=0.0001s, test_ID=198, label=4, output_node=9, voltage=0.012165338732302189
    time_span=0.0001s, test_ID=198, label=4, output_node=10, voltage=0.006873506121337414
    time_span=0.0001s, test_ID=198, label=4, output_node=11, voltage=0.009475099854171276
    time_span=0.0001s, test_ID=198, label=4, output_node=12, voltage=0.004299800843000412
    time_span=0.0001s, test_ID=198, label=4, output_node=13, voltage=0.005706175230443478
    time_span=0.0001s, test_ID=198, label=4, output_node=14, voltage=0.01125896442681551
    time_span=0.0001s, test_ID=198, label=4, output_node=15, voltage=0.008902390487492085
    time_span=0.0001s, test_ID=198, label=4, output_node=16, voltage=0.008089641109108925
    time_span=0.0001s, test_ID=198, label=4, output_node=17, voltage=0.010134461335837841
    time_span=0.0001s, test_ID=198, label=4, output_node=18, voltage=0.006127490196377039
    time_span=0.0001s, test_ID=198, label=4, output_node=19, voltage=0.008236056193709373
    time_span=0.0001s, test_ID=198, label=4, output_node=20, voltage=0.005177290644496679
    time_span=0.0001s, test_ID=198, label=4, output_node=21, voltage=0.006915338337421417
    time_span=0.0001s, test_ID=198, label=4, output_node=22, voltage=0.010478087700903416
    time_span=0.0001s, test_ID=198, label=4, output_node=23, voltage=0.005589641164988279
    time_span=0.0001s, test_ID=198, label=4, output_node=24, voltage=0.010247011668980122
    time_span=0.0001s, test_ID=198, label=4, output_node=25, voltage=0.009014940820634365
    time_span=0.0001s, test_ID=198, label=4, output_node=26, voltage=0.0019013944547623396
    time_span=0.0001s, test_ID=198, label=4, output_node=27, voltage=0.0069123501889407635
    time_span=0.0001s, test_ID=198, label=4, output_node=28, voltage=0.003583665471524
    time_span=0.0001s, test_ID=198, label=4, output_node=29, voltage=0.009180278517305851
    time_span=0.0001s, test_ID=198, label=4, output_node=30, voltage=0.003465139539912343
    time_span=0.0001s, test_ID=198, label=4, output_node=31, voltage=0.009207170456647873
    time_span=0.0001s, test_ID=198, label=4, output_node=32, voltage=0.006857569795101881
    time_span=0.0001s, test_ID=198, label=4, output_node=33, voltage=0.006435258314013481
    time_span=0.0001s, test_ID=198, label=4, output_node=34, voltage=0.008077689446508884
    time_span=0.0001s, test_ID=198, label=4, output_node=35, voltage=0.004998008254915476
    time_span=0.0001s, test_ID=198, label=4, output_node=36, voltage=0.009248008020222187
    time_span=0.0001s, test_ID=198, label=4, output_node=37, voltage=0.007994024083018303
    time_span=0.0001s, test_ID=198, label=4, output_node=38, voltage=0.013252987526357174
    time_span=0.0001s, test_ID=198, label=4, output_node=39, voltage=0.005840637255460024
    time_span=0.0001s, test_ID=198, label=4, output_node=40, voltage=0.011552789248526096
    time_span=0.0001s, test_ID=198, label=4, output_node=41, voltage=0.010570717044174671
    time_span=0.0001s, test_ID=198, label=4, output_node=42, voltage=0.009386453777551651
    time_span=0.0001s, test_ID=198, label=4, output_node=43, voltage=0.011916335672140121
    time_span=0.0001s, test_ID=198, label=4, output_node=44, voltage=0.00838446244597435
    time_span=0.0001s, test_ID=198, label=4, output_node=45, voltage=0.010381474159657955
    time_span=0.0001s, test_ID=198, label=4, output_node=46, voltage=0.012902391143143177
    time_span=0.0001s, test_ID=198, label=4, output_node=47, voltage=0.010312749072909355
    time_span=0.0001s, test_ID=198, label=4, output_node=48, voltage=0.006762948352843523
    time_span=0.0001s, test_ID=198, label=4, output_node=49, voltage=0.010101594030857086
    time_span=0.0001s, test_ID=198, label=4, output_node=50, voltage=0.010162350721657276
    time_span=0.0001s, test_ID=198, label=4, output_node=51, voltage=0.0058804783038794994
    time_span=0.0001s, test_ID=198, label=4, output_node=52, voltage=0.004569721408188343
    time_span=0.0001s, test_ID=198, label=4, output_node=53, voltage=0.0044651394709944725
    time_span=0.0001s, test_ID=198, label=4, output_node=54, voltage=0.009353586472570896
    time_span=0.0001s, test_ID=198, label=4, output_node=55, voltage=0.0073754978366196156
    time_span=0.0001s, test_ID=198, label=4, output_node=56, voltage=0.0073237051256000996
    time_span=0.0001s, test_ID=198, label=4, output_node=57, voltage=0.009039840660989285
    time_span=0.0001s, test_ID=198, label=4, output_node=58, voltage=0.008948207832872868
    time_span=0.0001s, test_ID=198, label=4, output_node=59, voltage=0.009233067743480206
    time_span=0.0001s, test_ID=198, label=4, output_node=60, voltage=0.007884461432695389
    time_span=0.0001s, test_ID=198, label=4, output_node=61, voltage=0.009012947790324688
    time_span=0.0001s, test_ID=198, label=4, output_node=62, voltage=0.009127490222454071
    time_span=0.0001s, test_ID=198, label=4, output_node=63, voltage=0.01009063795208931
    time_span=0.0001s, test_ID=198, label=4, output_node=64, voltage=0.0065209162421524525
    time_span=0.0001s, test_ID=198, label=4, output_node=65, voltage=0.009253984317183495
    time_span=0.0001s, test_ID=198, label=4, output_node=66, voltage=0.008179282769560814
    time_span=0.0001s, test_ID=198, label=4, output_node=67, voltage=0.009826692752540112
    time_span=0.0001s, test_ID=198, label=4, output_node=68, voltage=0.007505975663661957
    time_span=0.0001s, test_ID=198, label=4, output_node=69, voltage=0.011232072487473488
    time_span=0.0001s, test_ID=198, label=4, output_node=70, voltage=0.007855577394366264
    time_span=0.0001s, test_ID=198, label=4, output_node=71, voltage=0.007273904979228973
    time_span=0.0001s, test_ID=198, label=4, output_node=72, voltage=0.006974103394895792
    time_span=0.0001s, test_ID=198, label=4, output_node=73, voltage=0.010585657320916653
    time_span=0.0001s, test_ID=198, label=4, output_node=74, voltage=0.0025756971444934607
    time_span=0.0001s, test_ID=198, label=4, output_node=75, voltage=0.005483068060129881
    time_span=0.0001s, test_ID=198, label=4, output_node=76, voltage=0.007132470142096281
    time_span=0.0001s, test_ID=198, label=4, output_node=77, voltage=0.011302788741886616
    time_span=0.0001s, test_ID=198, label=4, output_node=78, voltage=0.009428285993635654
    time_span=0.0001s, test_ID=198, label=4, output_node=79, voltage=0.01031673327088356
    time_span=0.0001s, test_ID=198, label=4, output_node=80, voltage=0.008332669734954834
    time_span=0.0001s, test_ID=198, label=4, output_node=81, voltage=0.00896215159446001
    time_span=0.0001s, test_ID=198, label=4, output_node=82, voltage=0.0046583665534853935
    time_span=0.0001s, test_ID=198, label=4, output_node=83, voltage=0.00819023884832859
    time_span=0.0001s, test_ID=198, label=4, output_node=84, voltage=0.006873506121337414
    time_span=0.0001s, test_ID=198, label=4, output_node=85, voltage=0.005111553706228733
    time_span=0.0001s, test_ID=198, label=4, output_node=86, voltage=0.008098606020212173
    time_span=0.0001s, test_ID=198, label=4, output_node=87, voltage=0.010442230850458145
    time_span=0.0001s, test_ID=198, label=4, output_node=88, voltage=0.006242031697183847
    time_span=0.0001s, test_ID=198, label=4, output_node=89, voltage=0.008597609587013721
    time_span=0.0001s, test_ID=198, label=4, output_node=90, voltage=0.00743426289409399
    time_span=0.0001s, test_ID=198, label=4, output_node=91, voltage=0.008308764547109604
    time_span=0.0001s, test_ID=198, label=4, output_node=92, voltage=0.0064691235311329365
    time_span=0.0001s, test_ID=198, label=4, output_node=93, voltage=0.0060776895843446255
    time_span=0.0001s, test_ID=198, label=4, output_node=94, voltage=0.003909362480044365
    time_span=0.0001s, test_ID=198, label=4, output_node=95, voltage=0.0067091635428369045
    time_span=0.0001s, test_ID=198, label=4, output_node=96, voltage=0.008128485642373562
    time_span=0.0001s, test_ID=198, label=4, output_node=97, voltage=0.007172311190515757
    time_span=0.0001s, test_ID=198, label=4, output_node=98, voltage=0.006903386674821377
    time_span=0.0001s, test_ID=198, label=4, output_node=99, voltage=0.005198207218199968
    time_span=0.0001s, test_ID=198, label=4, output_node=sum, voltage=0.021648406982421875
    Time consumed for 1 sample = 1200.9711618423462 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '198'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    time_span=0.0001s, test_ID=199, label=2, output_node=bkg, voltage=-0.004428287036716938
    time_span=0.0001s, test_ID=199, label=2, output_node=0, voltage=0.019910359755158424
    time_span=0.0001s, test_ID=199, label=2, output_node=1, voltage=0.02160458080470562
    time_span=0.0001s, test_ID=199, label=2, output_node=2, voltage=0.021180277690291405
    time_span=0.0001s, test_ID=199, label=2, output_node=3, voltage=0.024395419284701347
    time_span=0.0001s, test_ID=199, label=2, output_node=4, voltage=0.015608565881848335
    time_span=0.0001s, test_ID=199, label=2, output_node=5, voltage=0.014289841055870056
    time_span=0.0001s, test_ID=199, label=2, output_node=6, voltage=0.023365536704659462
    time_span=0.0001s, test_ID=199, label=2, output_node=7, voltage=0.030211156234145164
    time_span=0.0001s, test_ID=199, label=2, output_node=8, voltage=0.028195219114422798
    time_span=0.0001s, test_ID=199, label=2, output_node=9, voltage=0.024605577811598778
    time_span=0.0001s, test_ID=199, label=2, output_node=10, voltage=0.024456175044178963
    time_span=0.0001s, test_ID=199, label=2, output_node=11, voltage=0.027173306792974472
    time_span=0.0001s, test_ID=199, label=2, output_node=12, voltage=0.019010957330465317
    time_span=0.0001s, test_ID=199, label=2, output_node=13, voltage=0.02123107574880123
    time_span=0.0001s, test_ID=199, label=2, output_node=14, voltage=0.019859561696648598
    time_span=0.0001s, test_ID=199, label=2, output_node=15, voltage=0.02609163336455822
    time_span=0.0001s, test_ID=199, label=2, output_node=16, voltage=0.016981074586510658
    time_span=0.0001s, test_ID=199, label=2, output_node=17, voltage=0.011392430402338505
    time_span=0.0001s, test_ID=199, label=2, output_node=18, voltage=0.01800697110593319
    time_span=0.0001s, test_ID=199, label=2, output_node=19, voltage=0.02119024097919464
    time_span=0.0001s, test_ID=199, label=2, output_node=20, voltage=0.018202191218733788
    time_span=0.0001s, test_ID=199, label=2, output_node=21, voltage=0.02796713449060917
    time_span=0.0001s, test_ID=199, label=2, output_node=22, voltage=0.020858565345406532
    time_span=0.0001s, test_ID=199, label=2, output_node=23, voltage=0.02211354486644268
    time_span=0.0001s, test_ID=199, label=2, output_node=24, voltage=0.023953186348080635
    time_span=0.0001s, test_ID=199, label=2, output_node=25, voltage=0.01737649366259575
    time_span=0.0001s, test_ID=199, label=2, output_node=26, voltage=0.021277887746691704
    time_span=0.0001s, test_ID=199, label=2, output_node=27, voltage=0.024643424898386
    time_span=0.0001s, test_ID=199, label=2, output_node=28, voltage=0.01986653357744217
    time_span=0.0001s, test_ID=199, label=2, output_node=29, voltage=0.02884860709309578
    time_span=0.0001s, test_ID=199, label=2, output_node=30, voltage=0.020170317962765694
    time_span=0.0001s, test_ID=199, label=2, output_node=31, voltage=0.018655378371477127
    time_span=0.0001s, test_ID=199, label=2, output_node=32, voltage=0.024923305958509445
    time_span=0.0001s, test_ID=199, label=2, output_node=33, voltage=0.029711155220866203
    time_span=0.0001s, test_ID=199, label=2, output_node=34, voltage=0.021776892244815826
    time_span=0.0001s, test_ID=199, label=2, output_node=35, voltage=0.02046414278447628
    time_span=0.0001s, test_ID=199, label=2, output_node=36, voltage=0.018852589651942253
    time_span=0.0001s, test_ID=199, label=2, output_node=37, voltage=0.021307768300175667
    time_span=0.0001s, test_ID=199, label=2, output_node=38, voltage=0.025928286835551262
    time_span=0.0001s, test_ID=199, label=2, output_node=39, voltage=0.022484065964818
    time_span=0.0001s, test_ID=199, label=2, output_node=40, voltage=0.020639441907405853
    time_span=0.0001s, test_ID=199, label=2, output_node=41, voltage=0.01724601536989212
    time_span=0.0001s, test_ID=199, label=2, output_node=42, voltage=0.021250996738672256
    time_span=0.0001s, test_ID=199, label=2, output_node=43, voltage=0.022198207676410675
    time_span=0.0001s, test_ID=199, label=2, output_node=44, voltage=0.02057868428528309
    time_span=0.0001s, test_ID=199, label=2, output_node=45, voltage=0.019435258582234383
    time_span=0.0001s, test_ID=199, label=2, output_node=46, voltage=0.023547809571027756
    time_span=0.0001s, test_ID=199, label=2, output_node=47, voltage=0.020232072100043297
    time_span=0.0001s, test_ID=199, label=2, output_node=48, voltage=0.012279881164431572
    time_span=0.0001s, test_ID=199, label=2, output_node=49, voltage=0.02391733042895794
    time_span=0.0001s, test_ID=199, label=2, output_node=50, voltage=0.02093326672911644
    time_span=0.0001s, test_ID=199, label=2, output_node=51, voltage=0.02495916560292244
    time_span=0.0001s, test_ID=199, label=2, output_node=52, voltage=0.016167329624295235
    time_span=0.0001s, test_ID=199, label=2, output_node=53, voltage=0.015262948349118233
    time_span=0.0001s, test_ID=199, label=2, output_node=54, voltage=0.023000994697213173
    time_span=0.0001s, test_ID=199, label=2, output_node=55, voltage=0.0192430280148983
    time_span=0.0001s, test_ID=199, label=2, output_node=56, voltage=0.02551693096756935
    time_span=0.0001s, test_ID=199, label=2, output_node=57, voltage=0.025352589786052704
    time_span=0.0001s, test_ID=199, label=2, output_node=58, voltage=0.019077688455581665
    time_span=0.0001s, test_ID=199, label=2, output_node=59, voltage=0.02026992104947567
    time_span=0.0001s, test_ID=199, label=2, output_node=60, voltage=0.021268924698233604
    time_span=0.0001s, test_ID=199, label=2, output_node=61, voltage=0.0205866526812315
    time_span=0.0001s, test_ID=199, label=2, output_node=62, voltage=0.022359561175107956
    time_span=0.0001s, test_ID=199, label=2, output_node=63, voltage=0.020487051457166672
    time_span=0.0001s, test_ID=199, label=2, output_node=64, voltage=0.020766932517290115
    time_span=0.0001s, test_ID=199, label=2, output_node=65, voltage=0.022458169609308243
    time_span=0.0001s, test_ID=199, label=2, output_node=66, voltage=0.011552789248526096
    time_span=0.0001s, test_ID=199, label=2, output_node=67, voltage=0.0218147411942482
    time_span=0.0001s, test_ID=199, label=2, output_node=68, voltage=0.0214113537222147
    time_span=0.0001s, test_ID=199, label=2, output_node=69, voltage=0.02255876734852791
    time_span=0.0001s, test_ID=199, label=2, output_node=70, voltage=0.020985059440135956
    time_span=0.0001s, test_ID=199, label=2, output_node=71, voltage=0.017006972804665565
    time_span=0.0001s, test_ID=199, label=2, output_node=72, voltage=0.022342627868056297
    time_span=0.0001s, test_ID=199, label=2, output_node=73, voltage=0.012271912768483162
    time_span=0.0001s, test_ID=199, label=2, output_node=74, voltage=0.021541832014918327
    time_span=0.0001s, test_ID=199, label=2, output_node=75, voltage=0.021696213632822037
    time_span=0.0001s, test_ID=199, label=2, output_node=76, voltage=0.023509960621595383
    time_span=0.0001s, test_ID=199, label=2, output_node=77, voltage=0.022036852315068245
    time_span=0.0001s, test_ID=199, label=2, output_node=78, voltage=0.023853586986660957
    time_span=0.0001s, test_ID=199, label=2, output_node=79, voltage=0.01980777084827423
    time_span=0.0001s, test_ID=199, label=2, output_node=80, voltage=0.022214142605662346
    time_span=0.0001s, test_ID=199, label=2, output_node=81, voltage=0.022455180063843727
    time_span=0.0001s, test_ID=199, label=2, output_node=82, voltage=0.026945220306515694
    time_span=0.0001s, test_ID=199, label=2, output_node=83, voltage=0.027494024485349655
    time_span=0.0001s, test_ID=199, label=2, output_node=84, voltage=0.02981773018836975
    time_span=0.0001s, test_ID=199, label=2, output_node=85, voltage=0.026800798252224922
    time_span=0.0001s, test_ID=199, label=2, output_node=86, voltage=0.02282669208943844
    time_span=0.0001s, test_ID=199, label=2, output_node=87, voltage=0.023499999195337296
    time_span=0.0001s, test_ID=199, label=2, output_node=88, voltage=0.021837648004293442
    time_span=0.0001s, test_ID=199, label=2, output_node=89, voltage=0.023103585466742516
    time_span=0.0001s, test_ID=199, label=2, output_node=90, voltage=0.015825696289539337
    time_span=0.0001s, test_ID=199, label=2, output_node=91, voltage=0.022694222629070282
    time_span=0.0001s, test_ID=199, label=2, output_node=92, voltage=0.024827688932418823
    time_span=0.0001s, test_ID=199, label=2, output_node=93, voltage=0.017915338277816772
    time_span=0.0001s, test_ID=199, label=2, output_node=94, voltage=0.024808766320347786
    time_span=0.0001s, test_ID=199, label=2, output_node=95, voltage=0.016690239310264587
    time_span=0.0001s, test_ID=199, label=2, output_node=96, voltage=0.018835656344890594
    time_span=0.0001s, test_ID=199, label=2, output_node=97, voltage=0.027140438556671143
    time_span=0.0001s, test_ID=199, label=2, output_node=98, voltage=0.019497012719511986
    time_span=0.0001s, test_ID=199, label=2, output_node=99, voltage=0.02075498178601265
    time_span=0.0001s, test_ID=199, label=2, output_node=sum, voltage=0.04974103718996048
    Time consumed for 1 sample = 1211.3642213344574 s

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: '199'; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)

    Finished! Safe to change code now.

```python
df_temp = pandas.read_hdf((savePath / "mppc_vol_meas.h5").as_posix(), key='26')
df_temp
```

<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th></th>
      <th></th>
      <th>0</th>
      <th>1</th>
      <th>2</th>
      <th>3</th>
      <th>4</th>
      <th>5</th>
      <th>6</th>
      <th>7</th>
      <th>8</th>
      <th>9</th>
      <th>...</th>
      <th>994</th>
      <th>995</th>
      <th>996</th>
      <th>997</th>
      <th>998</th>
      <th>999</th>
      <th>1000</th>
      <th>1001</th>
      <th>1002</th>
      <th>1003</th>
    </tr>
    <tr>
      <th>output_node</th>
      <th>time_range</th>
      <th>repeats</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th rowspan="5" valign="top">0</th>
      <th rowspan="5" valign="top">0.0001</th>
      <th>0</th>
      <td>0.024</td>
      <td>0.027</td>
      <td>0.018</td>
      <td>0.002</td>
      <td>-0.005</td>
      <td>-0.008</td>
      <td>0</td>
      <td>0.016</td>
      <td>0.026</td>
      <td>0.032</td>
      <td>...</td>
      <td>0.01</td>
      <td>0.008</td>
      <td>0.006</td>
      <td>-0.005</td>
      <td>-0.012</td>
      <td>-0.009</td>
      <td>-0.004</td>
      <td>-0.005</td>
      <td>-0.005</td>
      <td>0.003</td>
    </tr>
    <tr>
      <th>1</th>
      <td>0.033</td>
      <td>0.028</td>
      <td>0.025</td>
      <td>0.015</td>
      <td>0.005</td>
      <td>0.002</td>
      <td>0.004</td>
      <td>0.007</td>
      <td>0.008</td>
      <td>0.01</td>
      <td>...</td>
      <td>0.02</td>
      <td>0.029</td>
      <td>0.043</td>
      <td>0.033</td>
      <td>0.035</td>
      <td>0.033</td>
      <td>0.013</td>
      <td>0.009</td>
      <td>0.018</td>
      <td>0.027</td>
    </tr>
    <tr>
      <th>2</th>
      <td>0.011</td>
      <td>0.008</td>
      <td>0.006</td>
      <td>0.007</td>
      <td>0.004</td>
      <td>-0.003</td>
      <td>0.002</td>
      <td>0.011</td>
      <td>0.005</td>
      <td>0.001</td>
      <td>...</td>
      <td>0.017</td>
      <td>0.018</td>
      <td>0.01</td>
      <td>0.01</td>
      <td>0.014</td>
      <td>0.033</td>
      <td>0.014</td>
      <td>0.021</td>
      <td>0.021</td>
      <td>0.025</td>
    </tr>
    <tr>
      <th>3</th>
      <td>0.016</td>
      <td>0.003</td>
      <td>0.001</td>
      <td>0.003</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>-0.002</td>
      <td>-0.003</td>
      <td>-0.007</td>
      <td>...</td>
      <td>0.013</td>
      <td>0.014</td>
      <td>0.025</td>
      <td>0.032</td>
      <td>0.037</td>
      <td>0.043</td>
      <td>0.033</td>
      <td>0.026</td>
      <td>0.021</td>
      <td>0.016</td>
    </tr>
    <tr>
      <th>4</th>
      <td>0.002</td>
      <td>-0.002</td>
      <td>-0.003</td>
      <td>-0.006</td>
      <td>-0.006</td>
      <td>0</td>
      <td>0.004</td>
      <td>0.011</td>
      <td>0.02</td>
      <td>0.013</td>
      <td>...</td>
      <td>0.036</td>
      <td>0.021</td>
      <td>0.008</td>
      <td>0.001</td>
      <td>0.01</td>
      <td>0.029</td>
      <td>0.036</td>
      <td>0.04</td>
      <td>0.033</td>
      <td>0.016</td>
    </tr>
    <tr>
      <th>...</th>
      <th>...</th>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th rowspan="5" valign="top">bkg</th>
      <th rowspan="5" valign="top">0.0001</th>
      <th>95</th>
      <td>0.008</td>
      <td>0.009</td>
      <td>0.015</td>
      <td>0.017</td>
      <td>0.008</td>
      <td>0</td>
      <td>0.006</td>
      <td>0.012</td>
      <td>0.011</td>
      <td>0.007</td>
      <td>...</td>
      <td>-0.004</td>
      <td>-0.005</td>
      <td>-0.002</td>
      <td>-0.002</td>
      <td>-0.006</td>
      <td>-0.014</td>
      <td>-0.019</td>
      <td>-0.022</td>
      <td>-0.024</td>
      <td>-0.019</td>
    </tr>
    <tr>
      <th>96</th>
      <td>0.002</td>
      <td>-0.002</td>
      <td>-0.002</td>
      <td>-0.002</td>
      <td>-0.005</td>
      <td>-0.008</td>
      <td>-0.006</td>
      <td>-0.002</td>
      <td>-0.003</td>
      <td>-0.001</td>
      <td>...</td>
      <td>-0.003</td>
      <td>-0.006</td>
      <td>-0.011</td>
      <td>-0.021</td>
      <td>-0.026</td>
      <td>-0.021</td>
      <td>-0.019</td>
      <td>-0.012</td>
      <td>-0.007</td>
      <td>-0.007</td>
    </tr>
    <tr>
      <th>97</th>
      <td>-0.006</td>
      <td>-0.003</td>
      <td>-0.004</td>
      <td>-0.004</td>
      <td>-0.005</td>
      <td>-0.014</td>
      <td>-0.022</td>
      <td>-0.022</td>
      <td>-0.018</td>
      <td>-0.006</td>
      <td>...</td>
      <td>-0.003</td>
      <td>-0.021</td>
      <td>-0.034</td>
      <td>-0.022</td>
      <td>-0.005</td>
      <td>0.014</td>
      <td>0.013</td>
      <td>0.002</td>
      <td>-0.015</td>
      <td>-0.02</td>
    </tr>
    <tr>
      <th>98</th>
      <td>-0.021</td>
      <td>-0.019</td>
      <td>-0.011</td>
      <td>-0.005</td>
      <td>-0.006</td>
      <td>-0.006</td>
      <td>-0.007</td>
      <td>-0.003</td>
      <td>-0.003</td>
      <td>-0.002</td>
      <td>...</td>
      <td>-0.007</td>
      <td>-0.003</td>
      <td>0.004</td>
      <td>0.006</td>
      <td>0.004</td>
      <td>0.009</td>
      <td>0.01</td>
      <td>0.008</td>
      <td>0.013</td>
      <td>0.005</td>
    </tr>
    <tr>
      <th>99</th>
      <td>-0.007</td>
      <td>-0.007</td>
      <td>-0.008</td>
      <td>-0.014</td>
      <td>-0.018</td>
      <td>-0.019</td>
      <td>-0.022</td>
      <td>-0.014</td>
      <td>-0.008</td>
      <td>-0.01</td>
      <td>...</td>
      <td>-0.007</td>
      <td>-0.009</td>
      <td>-0.015</td>
      <td>-0.011</td>
      <td>-0.006</td>
      <td>-0.01</td>
      <td>-0.009</td>
      <td>-0.004</td>
      <td>-0.003</td>
      <td>-0.004</td>
    </tr>
  </tbody>
</table>
<p>10200 rows × 1004 columns</p>
</div>

```python
df
```

<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th></th>
      <th></th>
      <th>0</th>
      <th>1</th>
      <th>2</th>
      <th>3</th>
      <th>4</th>
      <th>5</th>
      <th>6</th>
      <th>7</th>
      <th>8</th>
      <th>9</th>
      <th>...</th>
      <th>994</th>
      <th>995</th>
      <th>996</th>
      <th>997</th>
      <th>998</th>
      <th>999</th>
      <th>1000</th>
      <th>1001</th>
      <th>1002</th>
      <th>1003</th>
    </tr>
    <tr>
      <th>output_node</th>
      <th>time_range</th>
      <th>repeats</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th rowspan="5" valign="top">0</th>
      <th rowspan="5" valign="top">0.0001</th>
      <th>0</th>
      <td>0.028</td>
      <td>0.033</td>
      <td>0.035</td>
      <td>0.022</td>
      <td>0.003</td>
      <td>-0.002</td>
      <td>0.013</td>
      <td>0.022</td>
      <td>0.025</td>
      <td>0.016</td>
      <td>...</td>
      <td>0.021</td>
      <td>0.021</td>
      <td>0.013</td>
      <td>0.001</td>
      <td>-0.004</td>
      <td>-0.008</td>
      <td>0.001</td>
      <td>0.013</td>
      <td>0.017</td>
      <td>0.013</td>
    </tr>
    <tr>
      <th>1</th>
      <td>0.025</td>
      <td>0.001</td>
      <td>-0.015</td>
      <td>-0.005</td>
      <td>0.008</td>
      <td>0.012</td>
      <td>0.023</td>
      <td>0.03</td>
      <td>0.039</td>
      <td>0.047</td>
      <td>...</td>
      <td>0.021</td>
      <td>0.029</td>
      <td>0.022</td>
      <td>0.026</td>
      <td>0.021</td>
      <td>0.016</td>
      <td>0.026</td>
      <td>0.025</td>
      <td>0.032</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>2</th>
      <td>-0.005</td>
      <td>-0.004</td>
      <td>0.002</td>
      <td>0.016</td>
      <td>0.024</td>
      <td>0.035</td>
      <td>0.033</td>
      <td>0.017</td>
      <td>0.012</td>
      <td>0.01</td>
      <td>...</td>
      <td>0.036</td>
      <td>0.023</td>
      <td>0.018</td>
      <td>0.028</td>
      <td>0.04</td>
      <td>0.044</td>
      <td>0.048</td>
      <td>0.044</td>
      <td>0.032</td>
      <td>0.019</td>
    </tr>
    <tr>
      <th>3</th>
      <td>0.021</td>
      <td>0.036</td>
      <td>0.033</td>
      <td>0.029</td>
      <td>0.036</td>
      <td>0.041</td>
      <td>0.044</td>
      <td>0.048</td>
      <td>0.048</td>
      <td>0.037</td>
      <td>...</td>
      <td>0.041</td>
      <td>0.033</td>
      <td>0.033</td>
      <td>0.025</td>
      <td>0.013</td>
      <td>0</td>
      <td>-0.009</td>
      <td>0.001</td>
      <td>0.019</td>
      <td>0.035</td>
    </tr>
    <tr>
      <th>4</th>
      <td>0.029</td>
      <td>0.037</td>
      <td>0.039</td>
      <td>0.03</td>
      <td>0.028</td>
      <td>0.016</td>
      <td>0.005</td>
      <td>0.006</td>
      <td>0.007</td>
      <td>0.01</td>
      <td>...</td>
      <td>0.037</td>
      <td>0.035</td>
      <td>0.033</td>
      <td>0.026</td>
      <td>0.027</td>
      <td>0.016</td>
      <td>0.013</td>
      <td>0.019</td>
      <td>0.03</td>
      <td>0.043</td>
    </tr>
    <tr>
      <th>...</th>
      <th>...</th>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th rowspan="5" valign="top">bkg</th>
      <th rowspan="5" valign="top">0.0001</th>
      <th>95</th>
      <td>-0.013</td>
      <td>-0.023</td>
      <td>-0.033</td>
      <td>-0.024</td>
      <td>-0.013</td>
      <td>-0.006</td>
      <td>0.012</td>
      <td>0.02</td>
      <td>0.018</td>
      <td>0.01</td>
      <td>...</td>
      <td>0.004</td>
      <td>0.003</td>
      <td>0.003</td>
      <td>0.003</td>
      <td>-0.001</td>
      <td>-0.008</td>
      <td>-0.009</td>
      <td>-0.007</td>
      <td>-0.003</td>
      <td>0.004</td>
    </tr>
    <tr>
      <th>96</th>
      <td>-0.008</td>
      <td>0.003</td>
      <td>0.009</td>
      <td>0.014</td>
      <td>0.019</td>
      <td>0.021</td>
      <td>0.02</td>
      <td>0.008</td>
      <td>-0.012</td>
      <td>-0.033</td>
      <td>...</td>
      <td>-0.004</td>
      <td>-0.004</td>
      <td>-0.002</td>
      <td>-0.004</td>
      <td>-0.008</td>
      <td>-0.017</td>
      <td>-0.025</td>
      <td>-0.03</td>
      <td>-0.034</td>
      <td>-0.027</td>
    </tr>
    <tr>
      <th>97</th>
      <td>-0.009</td>
      <td>-0.007</td>
      <td>0</td>
      <td>0.002</td>
      <td>0</td>
      <td>-0.003</td>
      <td>-0.008</td>
      <td>-0.011</td>
      <td>-0.011</td>
      <td>-0.012</td>
      <td>...</td>
      <td>-0.018</td>
      <td>-0.011</td>
      <td>-0.018</td>
      <td>-0.025</td>
      <td>-0.022</td>
      <td>-0.016</td>
      <td>-0.007</td>
      <td>0.001</td>
      <td>-0.001</td>
      <td>-0.006</td>
    </tr>
    <tr>
      <th>98</th>
      <td>-0.007</td>
      <td>-0.006</td>
      <td>-0.004</td>
      <td>-0.004</td>
      <td>-0.006</td>
      <td>-0.002</td>
      <td>-0.003</td>
      <td>-0.008</td>
      <td>-0.018</td>
      <td>-0.027</td>
      <td>...</td>
      <td>-0.017</td>
      <td>-0.05</td>
      <td>-0.025</td>
      <td>-0.02</td>
      <td>-0.009</td>
      <td>-0.011</td>
      <td>-0.011</td>
      <td>-0.01</td>
      <td>-0.017</td>
      <td>-0.02</td>
    </tr>
    <tr>
      <th>99</th>
      <td>-0.001</td>
      <td>0.005</td>
      <td>0.015</td>
      <td>0.016</td>
      <td>0.013</td>
      <td>0.009</td>
      <td>0</td>
      <td>-0.004</td>
      <td>-0.005</td>
      <td>-0.004</td>
      <td>...</td>
      <td>0.011</td>
      <td>0.003</td>
      <td>-0.006</td>
      <td>-0.006</td>
      <td>-0.005</td>
      <td>-0.004</td>
      <td>-0.002</td>
      <td>-0.001</td>
      <td>-0.004</td>
      <td>0.004</td>
    </tr>
  </tbody>
</table>
<p>10200 rows × 1004 columns</p>
</div>

```python
df_volTraces.loc[0,].dropna(axis="columns").astype(float).mean(level=[0,1]).mean(axis=1)*100
```

    output_node  time_range
    0            0.0001        1.108908
    1            0.0001        0.135558
    2            0.0001        0.954472
    3            0.0001        1.069739
    4            0.0001        0.617894
    5            0.0001        0.339468
    6            0.0001        0.495554
    7            0.0001        1.219645
    8            0.0001        0.718153
    9            0.0001        0.582032
    dtype: float64

```python
df_all_acts.loc[0,0]
```

    C:\Users\Logan\Anaconda3\lib\site-packages\ipykernel_launcher.py:1: PerformanceWarning: indexing past lexsort depth may impact performance.
      """Entry point for launching an IPython kernel.

<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>norm(W)norm(X)</th>
      <th>sum(norm(X))</th>
      <th>sum(norm(W))</th>
      <th>Wx</th>
      <th>Wx+b</th>
      <th>a</th>
      <th>a_true</th>
    </tr>
    <tr>
      <th>output node</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>7435548.0</td>
      <td>18435480.0</td>
      <td>101575323.0</td>
      <td>-15.719175</td>
      <td>-15.587848</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>1</th>
      <td>9019478.0</td>
      <td>18435480.0</td>
      <td>99886014.0</td>
      <td>-3.035051</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>2</th>
      <td>9160499.0</td>
      <td>18435480.0</td>
      <td>95635269.0</td>
      <td>-1.905754</td>
      <td>-1.576992</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>3</th>
      <td>9690888.0</td>
      <td>18435480.0</td>
      <td>101176722.0</td>
      <td>2.341606</td>
      <td>5.428436</td>
      <td>5.428436</td>
      <td>2.607136</td>
    </tr>
    <tr>
      <th>4</th>
      <td>11035015.0</td>
      <td>18435480.0</td>
      <td>94579326.0</td>
      <td>13.105385</td>
      <td>12.433863</td>
      <td>12.433863</td>
      <td>12.107492</td>
    </tr>
    <tr>
      <th>...</th>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <th>95</th>
      <td>10351690.0</td>
      <td>18435480.0</td>
      <td>105060834.0</td>
      <td>7.633313</td>
      <td>5.428436</td>
      <td>5.428436</td>
      <td>6.962213</td>
    </tr>
    <tr>
      <th>96</th>
      <td>11421935.0</td>
      <td>18435480.0</td>
      <td>97347555.0</td>
      <td>16.203844</td>
      <td>12.433863</td>
      <td>12.433863</td>
      <td>15.228162</td>
    </tr>
    <tr>
      <th>97</th>
      <td>9724589.0</td>
      <td>18435480.0</td>
      <td>106398495.0</td>
      <td>2.611483</td>
      <td>5.428436</td>
      <td>5.428436</td>
      <td>2.248217</td>
    </tr>
    <tr>
      <th>98</th>
      <td>10679262.0</td>
      <td>18435480.0</td>
      <td>100877022.0</td>
      <td>10.256513</td>
      <td>12.433863</td>
      <td>12.433863</td>
      <td>9.260293</td>
    </tr>
    <tr>
      <th>99</th>
      <td>8540622.0</td>
      <td>18435480.0</td>
      <td>97679223.0</td>
      <td>-6.869734</td>
      <td>-8.582420</td>
      <td>0.000000</td>
      <td>0.000000</td>
    </tr>
  </tbody>
</table>
<p>100 rows × 7 columns</p>
</div>

```python
df_volTraces.to_hdf((savePath / "mppc_vol_meas.h5").as_posix(), key=" ", mode='w')
joblib.dump([oscope_info(oscope),], savePath / 'exp_info.pkl')
```

    C:\Users\Logan\Anaconda3\lib\site-packages\tables\path.py:155: NaturalNameWarning: object name is not a valid Python identifier: ' '; it does not match the pattern ``^[a-zA-Z_][a-zA-Z0-9_]*$``; you will not be able to use natural naming to access this object; using ``getattr()`` will still work, though
      check_attribute_name(name)
    C:\Users\Logan\Anaconda3\lib\site-packages\pandas\core\generic.py:2505: PerformanceWarning:
    your performance may suffer as PyTables will pickle object types that it cannot
    map directly to c-types [inferred_type->floating,key->block0_values] [items->Int64Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
                ...
                1590, 1591, 1592, 1593, 1594, 1595, 1596, 1597, 1598, 1599],
               dtype='int64', length=1600)]

      encoding=encoding,

    ['D:\\McMahon lab Dropbox\\peter mcmahon\\tw329\\Experiments\\11_05_20_Perceptron_MPPC\\Percep_4bit_5x_gap2px_MPPC_1107_210954\\exp_info.pkl']

```python
blackImage_PIL = Image.open((phoneImagePath / "black.png").as_posix())
blackImage_byte = PIL_to_bytestream(blackImage_PIL)
aoab.write(blackImage_byte)
```

# Troubleshoot Blocks

```python
# Debug alignment
from PIL import Image
testImagePath = phoneImagePath / f"test_digit_7_00000.png"
imToPhone_PIL = Image.open(testImagePath)
imToPhone_byte = PIL_to_bytestream(imToPhone_PIL)
slm.updateArray(slm_weights_numpy["ordered"])
aoab.write(imToPhone_byte)
```

```python
# Debug alignment
from PIL import Image
alignImagePath = resultPath.parent / "alignment_images"
imToPhone_PIL = Image.open((alignImagePath / "TheGreenViewFinder.png").as_posix())
imToPhone_byte = PIL_to_bytestream(imToPhone_PIL)
aoab.write(imToPhone_byte)
imToSLM = Image.open((alignImagePath / "TheGreenViewFinder_SLM.bmp").as_posix())
slm.updateArray(np.array(imToSLM))
```

```python
# Debug alignment
from PIL import Image
alignImagePath = resultPath.parent / "alignment_images"
imToPhone_PIL = Image.open((alignImagePath / "Horizontal_stripes_period_4.png").as_posix())
imToPhone_byte = PIL_to_bytestream(imToPhone_PIL)
aoab.write(imToPhone_byte)
imToSLM = Image.open((alignImagePath / "Horizontal_stripes_period_4_SLM.bmp").as_posix())
slm.updateArray(np.array(imToSLM))
```

```python
# Debug alignment
from PIL import Image
alignImagePath = resultPath.parent / "alignment_images"
imToPhone_PIL = Image.open((alignImagePath / "Vertical_stripes_period_4.png").as_posix())
imToPhone_byte = PIL_to_bytestream(imToPhone_PIL)
aoab.write(imToPhone_byte)
imToSLM = Image.open((alignImagePath / "Vertical_stripes_period_4_SLM.bmp").as_posix())
slm.updateArray(np.array(imToSLM))
```