# Note: UI hinting is derived from the first binding keybinding: dive.log level: info # Note: you can specify multiple bindings by separating values with a comma. # supported options are "docker" and "podman" container-engine: docker # continue with analysis even if there are errors parsing the image archive ignore-errors: false log:Įnabled: true path. No configuration is necessary, however, you can create a config file and override values: Layer view: see current layer modificationsįiletree view: collapse/uncollapse a directoryįiletree view: collapse/uncollapse all directoriesįiletree view: show/hide unmodified files Layer view: see aggregated image modifications Switch between the layer and filetree views You can override the CI config path with the -ci-config option. # Expressed as a ratio between 0-1 fails if the threshold is met or crossed. # Note: the base image layer is NOT included in the total image size. # If the amount of wasted space makes up for X% or more of the image, mark as failed. # If the amount of wasted space is at least X or larger than X, mark as failed. # If the efficiency is measured below X%, mark as failed. With the -source option, you can select where to fetch the container image from: Multiple Image Sources and Container Engines Supported Simply set CI=true in the environment when invoking any valid dive command. You only need to replace your docker build command with the same dive buildĪnalyze an image and get a pass/fail result based on the image efficiency and wasted space. You can build a Docker image and do an immediate analysis with one command: Both a percentage "score" and total wasted file space is provided. This might be from duplicating files across layers, moving files across layers, or not fully removing files. The lower left pane shows basic layer info and an experimental metric that will guess how much wasted space your image contains. This can be adjusted to show changes for a specific layer, or aggregated changes up to this layer. Also, you can fully explore the file tree with the arrow keys.įiles that have changed, been modified, added, or removed are indicated in the file tree. Show Docker image contents broken down by layerĪs you select a layer on the left, you are shown the contents of that layer combined with all previous layers on the right. Plus a few touches unique to each model.This is beta quality! Feel free to submit an issue if you want a new feature or find a bug :) Basic Features The five models offer a wide range of different characteristics that fundamentally affect the overall sound, giving you a broad palette to start with for your next riff, bass and pad.Īll five share common controls: waveform selection, octave range, mix or independent output volume controls, a noise source and plentiful modulation options. Like the filters, Diva’s oscillators are also modelled on classic hardware. All filters have modulation options and the traditional cutoff and resonance controls, but each has its character, quirks and options. (If you are interested, Urs wrote an in-depth blog post about ZDF.)ĭiva models five different filters found in classic hardware synthesizers. With ZDF, the delays normally produced when modelling analogue circuits are vastly reduced, resulting in a much more authentic resonance behaviour. A combination of realtime circuit simulation and zero delay feedback (ZDF) design gives Diva its remarkable sound. The filters are at the heart of Diva’s analogue sound. One spirit, many flavours Oscillators and Filters
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