cfm

// Cloudflare Worker script to apply a dynamic Content-Security-Policy header
// for each fetch request by:
//
// 1. generating a per-request nonce;
//
// 2. injecting it into the "nonce" attribute on all SCRIPT and STYLE elements;
//    and
//
// 3. adding a Content-Security-Policy allowing that nonce in the "script-src"
//    and "style-src" attributes.

cfm

jira2mbox

Convert a Jira-exported CSV file to an mbox mailbox that can be manipulated in Mutt, imported into DEVONthink, etc.

$ python jira2mbox --help
usage: jira2mbox [-h] [-d DELIMITER] src dst

positional arguments:

cfm

Adapting the twelve-factor methodology for "Qubes-native" multi-VM applications: a preliminary sketch[^1]

Introduction

Virtualization is the conceptual technology on which modern services (server applications) are built. Whether an application happens to run on a fully- or para-virtualized VM[^2] or is containerized—or even runs on a “bare-metal” physical server after all—most modern services are designed in isolated, replicated, disposable components on commodity hardware.[^3] The [“twelve-factor methodology”][wiggins] (2011) is an influential articulation of the principles

cfm

states/

*.dot*
*.out*

cfm

diff --git a/alembic/versions/f394059c0898_add_reply_state.py b/alembic/versions/f394059c0898_add_reply_state.py
new file mode 100644
index 00000000..41fb7472
--- /dev/null
+++ b/alembic/versions/f394059c0898_add_reply_state.py
@@ -0,0 +1,28 @@
+"""add Reply.state
+
+Revision ID: f394059c0898
+Revises: 414627c04463

cfm

*.rpm

cfm

states/

*.dot
*.out

cfm

--- a/securedrop_client/gui/widgets.py
+++ b/securedrop_client/gui/widgets.py
@@ -1852,6 +1852,7 @@ class SpeechBubble(QWidget):
         signal matches the uuid of this speech bubble.
         """
         if self.uuid == uuid:
+            logger.debug(uuid)
             self.message.setText(text)
             self.set_normal_styles()
 

cfm

$ pip install faker locust  # Then go nuts:
$ locust --headless --users 10 --run-time 60s --host http://localhost:8080

cfm

Setup

$ docker build -f python3.7.Dockerfile -t sddp-350-py3.7 .
$ docker build -f python3.9.Dockerfile -t sddp-350-py3.9 .

Expected results

| Command | Python | Result