diff options
Diffstat (limited to 'util/plot_dsa.ipynb')
| -rw-r--r-- | util/plot_dsa.ipynb | 20 |
1 files changed, 15 insertions, 5 deletions
diff --git a/util/plot_dsa.ipynb b/util/plot_dsa.ipynb index a542f9c..abd6531 100644 --- a/util/plot_dsa.ipynb +++ b/util/plot_dsa.ipynb @@ -27,7 +27,7 @@ "import matplotlib.pyplot as plt\n", "from matplotlib import ticker, colors, gridspec\n", "from copy import deepcopy\n", - "from utils import plot_hist, moving_average, hw, time_scale, hist_size_func\n", + "from utils import plot_hist, moving_average, hw, time_scale, hist_size_func, recompute_nonces\n", "from binascii import unhexlify\n", "from IPython.display import display, HTML\n", "from ipywidgets import interact, interactive, fixed, interact_manual\n", @@ -57,6 +57,13 @@ "# File name with output from ECTesterReader or ECTesterStandalone signatures.\n", "fname = \"filename.csv\"\n", "\n", + "# A hash algorithm used\n", + "hash_algo = \"SHA1\" # e.g. \"SHA1\" or None for no hash, raw data signatures\n", + "\n", + "# A curve name or a path to curve file, used to recompute the random nonces used in signing, if they are not present\n", + "# in the file. (ECTester was not able to recompute them for some reason)\n", + "curve = None # e.g. \"secg/secp256r1\" or \"secp256r1.csv\" or None for no curve.\n", + "\n", "# The time unit used in displaying the plots. One of \"milli\", \"micro\", \"nano\".\n", "# WARNING: Using nano might lead to very large plots/histograms and to the\n", "# notebook to freeze or run out of memory, as well as bad visualization\n", @@ -83,7 +90,7 @@ "style = \"ggplot\"\n", "\n", "# Color map to use, and what color to assign to \"bad\" values (necessary for log_scale)\n", - "color_map = plt.cm.plasma\n", + "color_map = plt.cm.viridis\n", "color_map_bad = \"black\"\n", "\n", "# What function to use to calculate number of histogram bins of time\n", @@ -152,6 +159,9 @@ "sign_disp_unit = time_scale(data[\"sign_time\"], orig_sign_unit, sign_unit, scaling_factor)\n", "verify_disp_unit = time_scale(data[\"verify_time\"], orig_verify_unit, verify_unit, scaling_factor)\n", "\n", + "if np.any(data[\"nonce\"] == None):\n", + " recompute_nonces(data, curve, hash_algo)\n", + "\n", "# Trim times\n", "quant_low_bound = trim_low if 0 <= trim_low <= 1 else 0.01\n", "quant_high_bound = trim_high if 0 <= trim_high <= 1 else 0.95\n", @@ -675,8 +685,8 @@ ], "metadata": { "@webio": { - "lastCommId": "8be83dd299f244e7859686e690aa3254", - "lastKernelId": "4cf3b8b4-71ee-4bf5-aafc-ff6192e2d23c" + "lastCommId": "a38f080b9a044da08882846212c38d91", + "lastKernelId": "4cad5b27-583d-4c4e-947c-f47bdf2d4754" }, "hide_input": false, "kernelspec": { @@ -694,7 +704,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.2" + "version": "3.7.4" }, "latex_envs": { "LaTeX_envs_menu_present": true, |