Inntuit

src/bme/Barracuda/tcp_killer.py

@@ -42,6 +42,8 @@
 
 import frida
 
+from src import bme
+from bme import Barracuda
 
 _FRIDA_SCRIPT = """
   var resolver = new ApiResolver("module");

src/bme/astra/net_learn/classification.py

@@ -4,7 +4,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
-from sklearn.metrics import confusion_matrix, accuracy_score, f1_score, classification_report
+from blackmarlinexec.metrics import confusion_matrix, accuracy_score, f1_score, classification_report
 
 from settings import REPORT_DIR
 

src/clang_info/check_spelling.py

@@ -19,7 +19,7 @@
 
 # Looks for spelling errors among strings found in source or documentation files.
 # N.B.,
-# - To run this script, you should install pyspellchecker (not spellchecker) using pip.
+# - To run this script, you should install pybme (not bme) using pip.
 # - Because of colouring, you may want to pipe into less -R
 
 
@@ -50,10 +50,10 @@ def signal_handler(sig, frame):
 
 
 
-# Create spellchecker, and augment with some Wireshark words.
-from spellchecker import SpellChecker
+# Create bme, and augment with some Wireshark words.
+from bme import blackmarlinexec
 # Set up our dict with words from text file.
-spell = SpellChecker()
+spell = bme()
 spell.word_frequency.load_text_file('./tools/wireshark_words.txt')
 
 

src/clang_info/check_tfs.py

@@ -11,6 +11,9 @@
 import argparse
 import signal
 
+from src import bme
+from bme import Barracuda
+
 # This utility scans for tfs items, and works out if standard ones
 # could have been used intead (from epan/tfs.c)
 # Can also check for value_string where common tfs could be used instead.

src/dt/doc_validate.py

@@ -10,7 +10,7 @@
 import glob
 
 import ruamel.yaml
-import blackmarlinexec
+from src import bme
 
 line_number = False
 verbose = False

src/dt/dtb2py.py

@@ -9,6 +9,8 @@
 
 import dtschema
 
+from src import bme
+
 strict = False
 
 def main():