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Diffstat (limited to 'README.rst')
| -rw-r--r-- | README.rst | 13 |
1 files changed, 6 insertions, 7 deletions
diff --git a/README.rst b/README.rst index f1ccc8dc45..f044666af5 100644 --- a/README.rst +++ b/README.rst @@ -11,7 +11,7 @@ VoIP. The basics you need to know to get up and running are: like ``#matrix:matrix.org`` or ``#test:localhost:8448``. - Matrix user IDs look like ``@matthew:matrix.org`` (although in the future - you will normally refer to yourself and others using a third party identifier + you will normally refer to yourself and others using a third party identifier (3PID): email address, phone number, etc rather than manipulating Matrix user IDs) The overall architecture is:: @@ -156,8 +156,8 @@ In case of problems, please see the _Troubleshooting section below. Alternatively, Silvio Fricke has contributed a Dockerfile to automate the above in Docker at https://registry.hub.docker.com/u/silviof/docker-matrix/. -Also, Martin Giess has created an auto-deployment process with vagrant/ansible, -tested with VirtualBox/AWS/DigitalOcean - see https://github.com/EMnify/matrix-synapse-auto-deploy +Also, Martin Giess has created an auto-deployment process with vagrant/ansible, +tested with VirtualBox/AWS/DigitalOcean - see https://github.com/EMnify/matrix-synapse-auto-deploy for details. To set up your homeserver, run (in your virtualenv, as before):: @@ -427,7 +427,7 @@ to install using pip and a virtualenv:: virtualenv env source env/bin/activate - python synapse/python_dependencies.py | xargs -n1 pip install + python synapse/python_dependencies.py | xargs pip install pip install setuptools_trial mock This will run a process of downloading and installing all the needed @@ -605,8 +605,8 @@ First calculate the hash of the new password: $ source ~/.synapse/bin/activate $ ./scripts/hash_password - Password: - Confirm password: + Password: + Confirm password: $2a$12$xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Then update the `users` table in the database: @@ -650,4 +650,3 @@ matrix.org on. The default setting is currently 0.1, which is probably around a ~700MB footprint. You can dial it down further to 0.02 if desired, which targets roughly ~512MB. Conversely you can dial it up if you need performance for lots of users and have a box with a lot of RAM. - |