• Home
  • Features
  • Pricing
  • Docs
  • Announcements
  • Sign In

PrincetonUniversity / PsyNeuLink
84%

Build:
DEFAULT BRANCH: master
Repo Added 24 May 2018 08:07PM UTC
Files 173
Badge
Embed ▾
README BADGES
x

If you need to use a raster PNG badge, change the '.svg' to '.png' in the link

Markdown

Textile

RDoc

HTML

Rst

LAST BUILD ON BRANCH master
branch: SELECT
CHANGE BRANCH
x
  • No branch selected
  • 1d31a1dfb80
  • 3382-driftonasphere-implementation
  • 46afdeb6615
  • allclose-clean
  • build-ad9a15238a
  • build-b48c2b6928
  • build-f1294bdcc9
  • ci/drop-legacy-add-dask-testing
  • ci/jit-crash-core-capture
  • ci/run-distributed-fitting-tests
  • cleanup
  • cleanup_ego_scripts
  • condition-names
  • dependabot/pip/devel/beartype-lt-0.22.0
  • dependabot/pip/devel/fastkde-gte-1.0.24-and-lt-2.1.4
  • dependabot/pip/devel/grpcio-lt-1.74.0
  • dependabot/pip/devel/matplotlib-gte-3.7.0-and-lt-3.10.6
  • dependabot/pip/devel/matplotlib-gte-3.7.0-lt-3.10.4
  • dependabot/pip/devel/matplotlib-lt-3.10.1
  • dependabot/pip/devel/networkx-lt-3.6
  • dependabot/pip/devel/numpy-gte-1.21.0-and-lt-2.2.6
  • dependabot/pip/devel/numpy-gte-1.21.0-and-lt-2.3.3
  • dependabot/pip/devel/numpy-gte-1.21.0-lt-2.2.6
  • dependabot/pip/devel/numpy-gte-1.21.0-lt-2.3.1
  • dependabot/pip/devel/numpy-gte-1.21.0-lt-2.3.2
  • dependabot/pip/devel/rich-gte-10.7-and-lt-14.4
  • dependabot/pip/devel/scipy-gte-1.7.3-lt-1.17
  • dependabot/pip/devel/sphinx-autodoc-typehints-lt-3.10.0
  • dependabot/pip/devel/sphinx-autodoc-typehints-lt-3.11.0
  • dependabot/pip/devel/torch-gte-1.10.0-and-lt-2.7.0
  • dependabot/pip/devel/torch-gte-1.13.0-and-lt-2.10.0
  • dependabot/pip/devel/torch-gte-1.13.0-and-lt-2.11.0
  • dependabot/pip/devel/torch-gte-1.13.0-and-lt-2.12.0
  • dependabot/pip/devel/torch-gte-1.13.0-and-lt-2.13.0
  • dependabot/pip/devel/torch-gte-1.13.0-and-lt-2.14.0
  • dependabot/pip/devel/torch-gte-1.13.0-and-lt-2.8.0
  • dependabot/pip/devel/torch-gte-1.13.0-and-lt-2.9.0
  • devel
  • diag/windows-predator-prey-crash
  • doc-simple-integrator-function-escape-underscore
  • doc/IntegratorFunctions/escape-math-underscores
  • doc/additional_tutorials
  • docs/BasicAndPrimer/rename-encoder-to-ffn
  • docs/composition_randomization
  • docs/examples/fix-EVC-OCM
  • docs/spreadsheet_mods
  • feat/add_bias_node
  • feat/add_pathway_default_matrix
  • feat/autodiff/copy_pytorch_param_to_matrix
  • feat/autodiff/get_targets
  • feat/autodiff/refactor_target_specs
  • feat/autodiff/refactor_target_specs_codex
  • feat/autodiff/refactor_target_specs_km
  • feat/autodiff/torch_param_specific_lr
  • feat/autodiff/torch_param_specific_lr_DEVEL
  • feat/autodiff_add_support_for_parameter_learning_rates
  • feat/autodiff_save
  • feat/autodiff_various
  • feat/backprop_fct_with_multi_args
  • feat/batch_sequences
  • feat/binomial_distort
  • feat/collapsingbound
  • feat/composition_reset_clear_results
  • feat/compositon/additonal_pathway_syntax
  • feat/em_composition
  • feat/em_composition_EGO
  • feat/em_composition_LEARNING
  • feat/em_composition_NEW
  • feat/em_composition_REFACTOR_LEARNING_MECH
  • feat/em_composition_REFACTOR_MEMORY_TEMPLATE
  • feat/emcomposition/add_soft_max_args
  • feat/emcomposition/assign_field_weights
  • feat/emcomposition/softmax_choice_prob
  • feat/emcomposition/support_storage_function
  • feat/function_kwargs
  • feat/functions/normalization
  • feat/gru
  • feat/integrators/integrator_mech_reset_param
  • feat/kaiming-matrix
  • feat/lca/standard_output_ports_DEVEL_pec_fix
  • feat/lca/standard_output_ports_DEVEL_pec_fix_final
  • feat/learn_nested_direct
  • feat/learning_nested
  • feat/log/nparray_executions
  • feat/models/EGO_MDP
  • feat/models/EGO_MDP_REFACTOR_ATTENTION
  • feat/onehot_tie_index
  • feat/pec-dask-mle
  • feat/pec-hierarchical
  • feat/pec-hierarchical-em
  • feat/pec-neural-likelihood
  • feat/pec_batch_compile
  • feat/pec_cond_all
  • feat/pec_hist
  • feat/pec_optuna_study
  • feat/pec_optuna_study_rebased
  • feat/pyproject_toml
  • feat/reset_functions
  • feat/thread_config
  • feat/timermechanism
  • feat/torch_varseq
  • fit2
  • fit2-compiled
  • fit2-compiled-bugs
  • fix-softmax
  • fix/_parse_port_spec_port_as_sender_or_recvr
  • fix/add_obj_mech_warning
  • fix/autodiff_mult_output_ports
  • fix/bad_likelihood_warn
  • fix/comp_warning_no_afferents
  • fix/composition_existing_projections
  • fix/contentaddressablememory_empty_entry
  • fix/control_allocation_JDC
  • fix/default_control_allocation
  • fix/drift-on-a-sphere-scalar-noise-mechanism-wrap
  • fix/ego_update_figs
  • fix/emcomposition/field-index-alignment
  • fix/emcomposition_fieldweights_assignment
  • fix/emcomposition_learnable_projections
  • fix/fhn-output-port-index
  • fix/input_port_COMBINE
  • fix/input_port_spec_w_mapping_projection
  • fix/lccontrolmechanism_objectivemechanism
  • fix/linearcomb_jacobian
  • fix/llvm-jit-target-datalayout
  • fix/mapping_projection_matrix_keyword_assignment
  • fix/matrix_transform_l0
  • fix/one_hot_max_indicator
  • fix/onehot-prob-cumsum-edge
  • fix/output_port_execution_count_v2
  • fix/pec_exec_controller
  • fix/pec_inputs_mapping_bug
  • fix/pec_seed
  • fix/projections/dual_projections_between_mechs
  • fix/safe_equals
  • fix/softmax_and_relu_derivatives
  • fix/stab_flex_pec_bug
  • fix/standard_output_ports_calculate
  • fix_optuna_rng
  • gru_em_differentiable_storage
  • ipynp/502B
  • ipynp/502B-correct-add-noise-function
  • ipynp/502B-correct-use-summed-matrix
  • ipynp/502B-fix-lab1-x-to-X
  • ipynp/502B-use-summed-matrix
  • jongkees2023
  • jonhanke-dev-branches/debugger-hook
  • jonhanke-dev-branches/element-names-core
  • jvesely/ci
  • jvesely/ci-enabled
  • jvesely/custom-runners
  • jvesely/deps/torch
  • jvesely/fix/docstyle
  • jvesely/macos-self
  • jvesely/test/worksteal
  • master
  • mode/add_botvinick_conflict_monitoring
  • model/fix-botvinick-conflict-monitoring
  • model/fix-cohen-huston
  • models-update-docs
  • models/ego/bandit
  • models/ego/csw
  • models/ego/use_emcomposition
  • models/nback
  • models/nback_CAM_FFN
  • models/rumelhart-script-fix-targets
  • nback
  • origin/dependabot/pip/devel/matplotlib-lt-3.10.1
  • parameter-bool-as-number
  • patch/autodiff/docs_re_modules
  • patch/autodiff/pytorch_custom_optimization
  • patch/autodiff_pnl_showgraph
  • patch/autodiffcomposition-show-graph-jupyter
  • patch/bias_nodes
  • patch/composition/duplicate_target_warnings
  • patch/composition/objective_mech_as_output_node
  • patch/convert_to_list
  • patch/em_memory_template
  • patch/emcomposition/field_memories
  • patch/emcomposition/field_memory_indices
  • patch/emcomposition/forbid_add_projection
  • patch/fix_autodiff_pytorch_dependency
  • patch/fix_show_graph_nested_node_to_nested_node
  • patch/fixes_for_KADMLP
  • patch/get_composition_for_node
  • patch/get_composition_for_node_fix
  • patch/grucomposition
  • patch/lcamechanism/make_matrix_params_nonmodulable
  • patch/nested_comps
  • patch/port/enhance_error_for_bad_mod_param
  • patch/transferfunctions/logistic_offset
  • patch/transformfunctions/MatrixTransform
  • pec_doc_fixes
  • pec_optuna
  • py310_fixes
  • pytorch_batch
  • refactor/EGO_move_figs
  • refactor/autodiff/track_pnl
  • refactor/autodiff_and_emcomposition
  • refactor/composition/mech_constructor_callback
  • refactor/emcomposition/externalmemorymechanisms
  • refactor/emcomposition/fields_class
  • refactor/emcomposition_field_handling
  • refactor/emcomposition_mechs_and_concatenate
  • refactor/emcomposition_none_fieldweights
  • refactor/emcomposition_softmax_after_dot
  • refactor/emcomposition_tranfser->processingmech
  • refactor/exec_mode_pytorch
  • refactor/exec_mode_pytorch_FULL
  • refactor/execution_mode_COMPILED
  • refactor/lccontrolmechanism_ctl_signals
  • refactor/learning_pathways_using_ports
  • refactor/linearmatrix_>matrixtransform
  • refactor/linearmatrix_matrixtransform
  • refactor/matrixtransform_pytorch
  • refactor/onehot_options
  • refactor/pytorchwrappers/execute_node
  • refactor/transferfunction/scale_and_offset
  • remove_autograd
  • remove_typecheck
  • requires-python-3.11
  • revert-2533-codeql
  • revert-2751-master-devel
  • tentative-learning-branch
  • test/autodiff_without_torch
  • test_ci
  • test_new_runners

12 Sep 2026 07:03AM UTC coverage: 84.246% (-0.003%) from 84.249%
34810566747

push

github

web-flow
devel -> master (#3645)

Automatically created by workflow (Create PR to master)

11519 of 14950 branches covered (77.05%)

Branch coverage included in aggregate %.

2 of 3 new or added lines in 3 files covered. (66.67%)

2 existing lines in 1 file now uncovered.

39111 of 45148 relevant lines covered (86.63%)

0.87 hits per line

Relevant lines Covered
Build:
Build:
45148 RELEVANT LINES 39111 COVERED LINES
0.87 HITS PER LINE
Source Files on master
  • Tree
  • List 173
  • Changed 3
  • Source Changed 0
  • Coverage Changed 3
Coverage ∆ File Lines Relevant Covered Missed Hits/Line Branch Hits Branch Misses

Recent builds

Builds Branch Commit Type Ran Committer Via Coverage
34810566747 master devel -> master (#3645) Automatically created by workflow (Create PR to master) push 14 Sep 2026 07:05AM UTC web-flow github
84.25
34785439650 devel llvm, cuda: Forward exceptions from the compilation (#3648) Split PTX generation errors from RTC errors. Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu> push 13 Sep 2026 10:55PM UTC web-flow github
84.26
34740827806 master devel -> master (#3645) Automatically created by workflow (Create PR to master) push 13 Sep 2026 06:51AM UTC web-flow github
84.25
34679734515 master devel -> master (#3645) Automatically created by workflow (Create PR to master) push 12 Sep 2026 08:27AM UTC web-flow github
84.26
34676141523 master [auto] devel -> master (#3635) Automatically created by workflow (Create PR to master) push 12 Sep 2026 06:49AM UTC web-flow github
84.25
34630995006 feat/pec-neural-likelihood Fit a group with participants their factory scores by estimator Covers the case the group-level rejection points users towards: a factory that builds participant models scored by a trained estimator, fitted in one process and across a cluster, wh... Pull #3642 11 Sep 2026 07:34PM UTC aryan-pan github
83.9
34630046229 feat/pec-hierarchical-em Drop an import left behind by the factory A hierarchical fit reads what is fitted off the first model the factory builds, rather than describing one here, so the schema this composition used to build is no longer named in this file. Pull #3619 11 Sep 2026 07:30PM UTC aryan-pan github
84.28
34630051838 feat/pec-hierarchical-em Merge 9cf11a99c into 6a88be98c Pull #3619 11 Sep 2026 07:27PM UTC web-flow github
84.31
34631001768 feat/pec-neural-likelihood Merge a6b4658bc into c4c73868b Pull #3642 11 Sep 2026 06:59PM UTC web-flow github
83.93
34582237686 devel Merge 6a88be98c into 9261e302a Pull #3645 11 Sep 2026 10:46AM UTC web-flow github
84.28
See All Builds (8133)
  • Repo on GitHub
STATUS · Troubleshooting · Open an Issue · Sales · Support · CAREERS · ENTERPRISE · START FREE TRIAL · SCHEDULE DEMO
ANNOUNCEMENTS · TWITTER · TOS & SLA · Supported CI Services · What's a CI service? · Automated Testing

© 2026 Coveralls, Inc