Commits

Commits on Oct 17, 2019

simplify utilities for generating domains and points inside/outside them
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587d027
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make random domains by sampling points uniformly in the unit hypercube
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9ffd7bc
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remove stateful invariant checks
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6c0cafa
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Commits on Oct 16, 2019

check that points matrix is well conditioned
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7430143
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blackify domain.py
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d41b355
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improve comment
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445c6f1
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fix bug in subdomain updating logic when telling data
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d401cbb
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suppress context when raising when an item was not in a queue
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51901cc
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create queue on initialization rather than calling 'insert'
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011c5f3
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add learner tests that simulate the runner and randomly asking/telling
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cdf26a7
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fix bug where we receive more points than we asked for
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52175f0
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Commits on Oct 14, 2019

add shortcuts when creating triangulations with exactly 1 simplex
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b4a4814
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add clarifying comment about adding points to neighboring subdomains
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06003cb
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Commits on Oct 13, 2019

neater ordering
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6efc250
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update priority queue docstring
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5d3434d
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run all domain tests over random domains, rather than hypercubes
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32518d1
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correct test that all internal points are reassigned when splitting
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6bdbe88
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correct docstring
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9f8774a
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do 1 operation per line only
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d227e1b
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rename point loss to point priority
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fbbe44a
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correct name of domain test
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a13711a
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make 'points_inside' select points from more than 1 subdomain
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ceaa87d
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correct conditional
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60e0a0c
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add new learner to datasaving test
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bb38de3
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make sure we can ask for more points after adding data outside the
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3979872
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allow NewLearnerND to accept points not in the domain
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7ff9372
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Commits on Oct 12, 2019

implement method 'Domain.encloses' for finding points inside a domain
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3696379
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correct implementation of points outside domain
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929a9fd
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replace Domain.__contains__ with Domain.contains_subdomain
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460bd2e
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correctly set inf
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484cebf
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add xfailing tests for new learner
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6908ec2
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add new learner to some tests (those that it passes)
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4ede935
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explicitly set inf
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6111a7c
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implement data saving
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f171173
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catch edge case in loss
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bf64362
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