Python ChipWhisper TVLA在站点包中有错误

我试图在我的FPGA板上使用ChipWhisper提供的TVLA评估。（克隆）他们为加密验证提供了

PA_TVLA_1-执行的_TVLA_测试。ipynb

Jupyterplaybook。我对其进行了修改，以初始化FPGA，但流程的其余部分是相同的，即捕获跟踪并分析它们

进行分析和排除错误的代码

import holoviews as hv
hv.extension('bokeh')
import numpy as np
import scipy
import scipy.stats

project = cw.open_project('projects/MyProject.cwp')
fixedpy = [0xda, 0x39, 0xa3, 0xee, 0x5e, 0x6b, 0x4b, 0x0d, 0x32, 0x55, 0xbf, 0xef, 0x95, 0x60, 0x18, 0x90]

testouts = []
num_traces = len(project.traces)
num_points = len(project.waves[0])
print(num_traces, num_points)
curve = hv.Curve([])

def do_the_ttvla(project, ntraces=-1):
    global curve, line
    if ntraces == -1:
        ntraces = int(num_traces / 2)
        
    if ntraces * 2 > num_traces:
        raise ValueError("Invalid ntraces")
    for g in range(0, 2):
        group = [(list(project.textins[i]) == fixedpy) for i in range(g*ntraces, g*ntraces+ntraces)]
        trace = np.zeros((ntraces, num_points))

        for n in range(g*ntraces, g*ntraces+ntraces):
            trace[n - g*ntraces][:] = project.waves[n]
                
        testout = welch_ttest(group, trace)
        curve *= hv.Curve(testout)
        testouts.extend(testout)
        
    curve *= hv.Path([(0, -4.5), (num_points, -4.5)]).opts(color="black") * \
    hv.Path([(0, 4.5), (num_points, 4.5)]).opts(color="black")

def welch_ttest(group, traces):
    import warnings
    # Compute Welch's t-statistic at each point in time
    # Here, group[] must only contain booleans (True/False)
    traces_true = traces[np.where(np.array(group))]
    traces_false = traces[np.where(~np.array(group))]
    
    if len(traces_true) == 0:
        traces_true  = np.array([[np.nan for _ in range(len(traces[0]))]])
    if len(traces_false) == 0:
        traces_false = np.array([[np.nan for _ in range(len(traces[0]))]])
    
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        ttrace = scipy.stats.ttest_ind(traces_true, traces_false, axis=0, equal_var=False)[0]
        
    return np.nan_to_num(ttrace) 
    
do_the_ttvla(project)
(curve).opts(height=600, width=600)

运行此代码时，会出现以下错误：

WARNING:param.BokehRenderer: Use method 'params' via param namespace 
WARNING:param.BokehRenderer:Use method 'params' via param namespace 

---------------------------------------------------------------------------
RecursionError                            Traceback (most recent call last)
<ipython-input-14-8f71252adeef> in <module>
     53     return np.nan_to_num(ttrace)
     54 
---> 55 do_the_ttvla(project)
     56 (curve).opts(height=600, width=600)

<ipython-input-14-8f71252adeef> in do_the_ttvla(project, ntraces)
     29 
     30         testout = welch_ttest(group, trace)
---> 31         curve *= hv.Curve(testout)
     32         testouts.extend(testout)
     33 

~/.local/lib/python3.7/site-packages/holoviews/core/overlay.py in __mul__(self, other)
     41             return NotImplemented
     42 
---> 43         return Overlay([self, other])
     44 
     45 

~/.local/lib/python3.7/site-packages/holoviews/core/overlay.py in __init__(self, items, group, label, **params)
    141         self.__dict__['_group'] = group
    142         self.__dict__['_label'] = label
--> 143         super(Overlay, self).__init__(items, **params)
    144 
    145     def __getitem__(self, key):

~/.local/lib/python3.7/site-packages/holoviews/core/dimension.py in __init__(self, items, identifier, parent, **kwargs)
   1327         if items and all(isinstance(item, Dimensioned) for item in items):
   1328             items = self._process_items(items)
-> 1329         params = {p: kwargs.pop(p) for p in list(self.params().keys())+['id', 'plot_id'] if p in kwargs}
   1330 
   1331         AttrTree.__init__(self, items, identifier, parent, **kwargs)

~/.local/lib/python3.7/site-packages/param/parameterized.py in inner(*args, **kwargs)
   1328                 get_logger(name=args[0].__class__.__name__).log(
   1329                     WARNING, 'Use method %r via param namespace ' % fn.__name__)
-> 1330             return fn(*args, **kwargs)
   1331 
   1332         inner.__doc__= "Inspect .param.%s method for the full docstring"  % fn.__name__

~/.local/lib/python3.7/site-packages/param/parameterized.py in params(cls, parameter_name)
   2765     @Parameters.deprecate
   2766     def params(cls,parameter_name=None):
-> 2767         return cls.param.params(parameter_name=parameter_name)
   2768 
   2769     @classmethod

~/.local/lib/python3.7/site-packages/param/parameterized.py in params(self_, parameter_name)
   1422         superclasses.
   1423         """
-> 1424         pdict = self_.objects(instance='existing')
   1425         if parameter_name is None:
   1426             return pdict

~/.local/lib/python3.7/site-packages/param/parameterized.py in objects(self_, instance)
   1511         if instance and self_.self is not None:
   1512             if instance == 'existing':
-> 1513                 if getattr(self_.self, 'initialized', False) and self_.self._instance__params:
   1514                     return dict(pdict, **self_.self._instance__params)
   1515                 return pdict

~/.local/lib/python3.7/site-packages/holoviews/core/tree.py in __getattr__(self, identifier)
    254             sanitized = identifier
    255 
--> 256         if sanitized in self.children:
    257             return self.__dict__[sanitized]
    258 

... last 1 frames repeated, from the frame below ...

~/.local/lib/python3.7/site-packages/holoviews/core/tree.py in __getattr__(self, identifier)
    254             sanitized = identifier
    255 
--> 256         if sanitized in self.children:
    257             return self.__dict__[sanitized]
    258 

RecursionError: maximum recursion depth exceeded in comparison

project.waves[0]

的内容，其中waves是

project.textins[0]

[218  57 163 238  94 107  75  13  50  85 191 239 149  96  24 144]

cw

对象作为

import ChipWhisper as cw

导入，并且是ChipWhisper库的一部分。它在这里的功能是允许将已捕获的跟踪加载到一组阵列中。

pip安装--升级HoloView

修复了该问题

对于面临错误的VM用户来说，这个将不起作用：Jupyter将在引导时崩溃。

---

我建议下载页面上的“chipWhisper.Jupyter.holoviews.7z”虚拟机（版本标记为5.5）。

警告表明

param

和

holoviews

库不匹配；我建议从pyviz频道将两者更新为最新版本（

conda update-c pyviz holoviews param

）。该错误似乎是库本身的问题，但如果没有可复制的示例，则很难确定。如果更新库后错误仍然存在，您能否从

cw

对象中提取数据，缩短并简化它，并使用提供的数据更新示例，使其能够自行运行？否则，任何人都很难帮助您调试。@JamesA.Bednar我已经添加了变量内容，并通过conda an pip进行了安装，但Jupyter在运行时仍会出错。除非您上面包含的脚本实际上可由其他人运行，否则任何人都无能为力！但这只是一个虚拟机，对吗？这对本地安装有什么帮助？oops没有注意到您没有使用本地安装。。。您安装了哪个版本的HoloView？如果它不是1.14.3，你能安装这个版本并让我知道吗？它是

1.12.3

，所以我明天会更新它并报告它是否有效。（我之前已经尝试过

pip升级

）

pip安装——升级holoviews

有效。由于您提供了答案，请编辑您的答案以包含此内容，以便我可以接受并投票

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-0.11132812 -0.05664062 -0.00097656 -0.09863281 -0.06640625 -0.00976562
 0.03613281 -0.08007812 -0.06542969 -0.01660156  0.02050781 -0.10351562
-0.08105469 -0.02734375  0.02246094 -0.09765625 -0.07324219 -0.01855469
 0.02832031 -0.09082031 -0.06933594 -0.01757812  0.02832031 -0.08789062
-0.06542969 -0.015625    0.02832031 -0.09179688 -0.06933594 -0.01855469
 0.02734375 -0.09765625 -0.06933594 -0.01855469  0.02929688 -0.09667969
-0.06933594 -0.01660156  0.03222656 -0.0859375  -0.05566406 -0.01171875
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 0.04882812  0.05078125  0.04980469  0.         -0.00488281 -0.00195312
 0.01269531 -0.00878906  0.00097656  0.01464844  0.03027344  0.00390625
 0.00683594  0.015625    0.02539062 -0.01074219 -0.00683594  0.0078125
 0.02246094 -0.00585938  0.          0.01269531  0.02441406 -0.00390625
-0.00195312  0.01269531  0.02148438 -0.00195312  0.00292969  0.01464844
 0.02441406 -0.0078125  -0.00292969  0.00976562  0.02050781 -0.00488281
-0.00195312  0.01171875  0.02148438 -0.00878906 -0.00488281  0.00683594
 0.02246094 -0.00097656  0.00683594  0.01660156  0.02441406 -0.01171875
-0.00585938  0.00488281  0.02050781 -0.00878906  0.          0.01074219
 0.02539062 -0.00390625  0.00195312  0.00976562  0.02246094 -0.0078125
-0.00097656  0.00878906  0.02050781 -0.00878906 -0.00390625  0.00683594
 0.02148438 -0.00683594  0.          0.00976562  0.02246094 -0.01269531
-0.00488281  0.00683594  0.02148438]

[218  57 163 238  94 107  75  13  50  85 191 239 149  96  24 144]