buzzphrase
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Get a Buzzword Phrase. Because sometimes you need enhanced didactic mobility, liberating syndicated transitional projections
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# 3.1.3
- linear/collinear/multivariate orthogonality
# 3.1.2
- grown -> homegrown
# 3.1.1
- Thanks to the Polkadot whitepaper: `validate applied heterogenous multi-chain incentivisation` accessible with `buzzphrase 1 '{i} {v} {a} {a} {n}'`
# 3.1.0
- split cli (bin) and module (main) into two entrypoints so webpack loaders don't have to write a custom loader or use a shebang loader module :)
# 3.0.3
- harmonize cross-pillar, human-centric, end-of-life, mission-critical strategies
- enact decentralized scalable continuous-improvement
# 3.0.2
- amplify greenfield storytelling
# 3.0.0
- moving to node 14 as baseline
- `coherent high-CPM lean-in`
# 2.5.5
- no more module dependencies (`lodash.sample`, `lodash.merge`)
# 2.5.1
- `non-linear regressive`
# 2.5.0
- present participle verbs with "{V}"
- e.g. `node . 1 '{V} {a} {N}' => omitting deep convolutional mobility`
# 2.4.1
- adaptive differentiated matrix as a service
- configurable algorithms
- ergonomic analytics
- heuristic blockchain
- hyperlocal empowerment
- immersive parallelism
- intuitive realigned collaboration
- modular groupware
- seamless artificial intelligence
- tangible alliance
- variable superstructures
# 2.4.1
- just cleaning up docs
# 2.4.0
- added new `get(config)` API
- added format option, defaults to '{a} {v} {N}'
- added final endings to make book title type phrases (deep convolutional stochastic pooling for dummies)
- increased randomness to prevent duplicates in up to 25 joined phrases (using default format)
- added distinction between plural nouns {N} and singular nouns {n}
- deprecating `getImperative` in favor of using `get({format:'{i} {a} {v} {N}'})`
- deprecating `getPhrase` in favor of using `get({format:'{a} {v} {N}'})``
- deprecating `buzz` in favor of `log`
# 2.3.1 - 2.3.4
- remove some verbs that aren't working well
- added more words:
- unsupervised deep convolutional networking
- supervised deconvolutional networks
- incentivized acoustic layers
- iterated residual normalization
- recontextualized adversarial pooling
- revolutionized stochastic singularity
- adding experimental finally
- iterated residual normalization "as code"
# 2.3.0
- added `getImperative` method
# 2.2.4
- remove erroneous npm-shrinkwrap.json
# 2.2.3
- spellcheck
# 2.2.2
- freezed->frozen
# 2.2.1
- fixed some words (codeed->coded, backed up->backed-up, start up->start-up)
# 2.2.0
- merged verbs from @earthbound19/master
# 2.1.11
- cohesive megathreaded hyperconvergence
# 2.1.10
- on-demand containerized clusters, allowing unique hyper-converged availability
# 2.1.9
- fix support for stdlib
# 2.1.8
- update `mocha` dep
# 2.1.7
- update `mocha` dep
# 2.1.6
- right-sized extravehicular team-players
# 2.1.5
- update `lodash.sample@2.1.3` -> `lodash.sample@2.1.4`
# 2.1.4
- `npm shrinkwrap` with deps
- prefer node `4.4.7` in `.nvmrc`
# 2.1.3
- enterprise native #DevOps, pioneering connected policy-driven cloud
# 2.1.2
- switch to using `const`
- add support for node >= `0.10.41`