run zef --verbose test for AI::FANN
[agent]
flamboyant-moore-63797432
[raku]
/tmp/whateverable/rakudo-moar/fe0e20c28859ea709eefad19af452c9d35dff20d/bin//raku
Welcome to Rakudo™ v2025.11.
Implementing the Raku® Programming Language v6.d.
Built on MoarVM version 2025.11.
[zef]
/tmp/whateverable/rakudo-moar/fe0e20c28859ea709eefad19af452c9d35dff20d/share/perl6/site/bin/zef
1.0.0
===
1) install AI::FANN dependencies
All candidates are currently installed
2) zef --verbose test .
===> Testing: AI::FANN:ver<0.2.0>:auth<zef:jjatria>
[AI::FANN] Command: /tmp/whateverable/rakudo-moar/fe0e20c28859ea709eefad19af452c9d35dff20d/bin/rakudo -I /tmp/.zef.1765206726.13901/3bd5f6105ccebe2920c7704cf3ef8976313c07d4.tar.gz/AI-FANN-0.2.0 t/creation.t
[AI::FANN] # Subtest: Weights with connection
[AI::FANN]     ok 1 - weights with list returns self
[AI::FANN]     ok 2 - Can set weights with connections
[AI::FANN]     ok 3 - weights with connection returns self
[AI::FANN]     ok 4 - Can set weights with connections
[AI::FANN]     ok 5 - Can set weights with values
[AI::FANN]     1..5
[AI::FANN] ok 1 - Weights with connection # TODO Weight modification is flaky
[AI::FANN] # Subtest: Standard
[AI::FANN]     ok 1 - new
[AI::FANN]     ok 2 - num-layers
[AI::FANN]     ok 3 - bias-array
[AI::FANN]     ok 4 - connection-rate
[AI::FANN]     ok 5 - network-type
[AI::FANN]     ok 6 - total-neurons
[AI::FANN]     ok 7 - num-input
[AI::FANN]     ok 8 - total-connections
[AI::FANN]     ok 9 - layer-array
[AI::FANN]     ok 10 - num-output
[AI::FANN]     ok 11 - bit-fail
[AI::FANN]     ok 12 - connection-array
[AI::FANN]     # Subtest: activation-function
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - hidden setter
[AI::FANN]         ok 3 - output setter
[AI::FANN]         ok 4 - layer setter
[AI::FANN]         ok 5 - 
[AI::FANN]         ok 6 - setter
[AI::FANN]         ok 7 - other neurons remain untouched
[AI::FANN]         1..7
[AI::FANN]     ok 13 - activation-function
[AI::FANN]     # Subtest: activation-steepness
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - hidden setter
[AI::FANN]         ok 3 - output setter
[AI::FANN]         ok 4 - layer setter
[AI::FANN]         ok 5 - 
[AI::FANN]         ok 6 - setter
[AI::FANN]         ok 7 - other neurons remain untouched
[AI::FANN]         1..7
[AI::FANN]     ok 14 - activation-steepness
[AI::FANN]     # Subtest: training-algorithm
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - setter
[AI::FANN]         ok 3 - setter with Int
[AI::FANN]         1..3
[AI::FANN]     ok 15 - training-algorithm
[AI::FANN]     # Subtest: train-error-function
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - setter
[AI::FANN]         ok 3 - setter
[AI::FANN]         1..3
[AI::FANN]     ok 16 - train-error-function
[AI::FANN]     # Subtest: train-stop-function
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - setter
[AI::FANN]         ok 3 - setter
[AI::FANN]         1..3
[AI::FANN]     ok 17 - train-stop-function
[AI::FANN]     # Subtest: bit-fail-limit
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - setter
[AI::FANN]         1..2
[AI::FANN]     ok 18 - bit-fail-limit
[AI::FANN]     # Subtest: learning-rate
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - setter
[AI::FANN]         1..2
[AI::FANN]     ok 19 - learning-rate
[AI::FANN]     # Subtest: learning-momentum
[AI::FANN]         ok 1 - getter
[AI::FANN]         ok 2 - setter
[AI::FANN]         1..2
[AI::FANN]     ok 20 - learning-momentum
[AI::FANN]     ok 21 - Minimum weight ~-0.1
[AI::FANN]     ok 22 - Maximum weight ~+0.1
[AI::FANN]     ok 23 - randomise-weights returns self
[AI::FANN]     ok 24 - randomize-weights returns self
[AI::FANN]     ok 25 - Scaled minimum weight
[AI::FANN]     ok 26 - Scaled maximum weight
[AI::FANN]     ok 27 - init-weights returns self
[AI::FANN]     ok 28 - Can clone network
[AI::FANN]     1..28
[AI::FANN] ok 2 - Standard
[AI::FANN] # Subtest: Sparse
[AI::FANN]     ok 1 - new
[AI::FANN]     ok 2 - num-output
[AI::FANN]     ok 3 - bit-fail
[AI::FANN]     ok 4 - network-type
[AI::FANN]     ok 5 - layer-array
[AI::FANN]     ok 6 - num-input
[AI::FANN]     ok 7 - total-connections
[AI::FANN]     ok 8 - total-neurons
[AI::FANN]     ok 9 - bias-array
[AI::FANN]     ok 10 - connection-rate
[AI::FANN]     ok 11 - num-layers
[AI::FANN]     ok 12 - connection-array
[AI::FANN]     1..12
[AI::FANN] ok 3 - Sparse
[AI::FANN] # Subtest: Shortcut
[AI::FANN]     ok 1 - new
[AI::FANN]     ok 2 - num-output
[AI::FANN]     ok 3 - connection-rate
[AI::FANN]     ok 4 - bit-fail
[AI::FANN]     ok 5 - num-input
[AI::FANN]     ok 6 - total-connections
[AI::FANN]     ok 7 - num-layers
[AI::FANN]     ok 8 - bias-array
[AI::FANN]     ok 9 - layer-array
[AI::FANN]     ok 10 - network-type
[AI::FANN]     ok 11 - total-neurons
[AI::FANN]     ok 12 - connection-array
[AI::FANN]     1..12
[AI::FANN] ok 4 - Shortcut
[AI::FANN] # Subtest: File I/O
[AI::FANN]     ok 1 - 
[AI::FANN]     ok 2 - Can save with Str
[AI::FANN]     ok 3 - Can save with IO::Path
[AI::FANN]     ok 4 - Can read from Str
[AI::FANN]     ok 5 - Read data is equivalent
[AI::FANN]     ok 6 - Can read from IO::Path
[AI::FANN]     # Subtest: File must be writable to save
[AI::FANN]         # Subtest: did we throws-like X::AI::FANN?
[AI::FANN]             1..3
[AI::FANN]             not ok 1 - code dies
[AI::FANN]             # Failed test 'code dies'
[AI::FANN]             # at t/creation.t line 235
[AI::FANN]             ok 2 - # SKIP Code did not die, can not check exception
[AI::FANN]             ok 3 - # SKIP Code did not die, can not check exception
[AI::FANN]             # You failed 1 test of 3
[AI::FANN]         not ok 1 - did we throws-like X::AI::FANN?
[AI::FANN]         # Failed test 'did we throws-like X::AI::FANN?'
[AI::FANN]         # at t/creation.t line 235
[AI::FANN]         1..1
[AI::FANN]         # You failed 1 test of 1
[AI::FANN]     not ok 7 - File must be writable to save
[AI::FANN]     # Failed test 'File must be writable to save'
[AI::FANN]     # at t/creation.t line 234
[AI::FANN]     # Subtest: File must be readable to read
[AI::FANN]         # Subtest: did we throws-like X::AdHoc?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AdHoc)
[AI::FANN]             ok 3 - .message matches /'Cannot read from file: '/
[AI::FANN]         ok 1 - did we throws-like X::AdHoc?
[AI::FANN]         1..1
[AI::FANN]     ok 8 - File must be readable to read
[AI::FANN]     1..8
[AI::FANN]     # You failed 1 test of 8
[AI::FANN] not ok 5 - File I/O
[AI::FANN] # Failed test 'File I/O'
[AI::FANN] # at t/creation.t line 212
[AI::FANN] 1..5
[AI::FANN] # You failed 1 test of 5
[AI::FANN] Command: /tmp/whateverable/rakudo-moar/fe0e20c28859ea709eefad19af452c9d35dff20d/bin/rakudo -I /tmp/.zef.1765206726.13901/3bd5f6105ccebe2920c7704cf3ef8976313c07d4.tar.gz/AI-FANN-0.2.0 t/errors.t
[AI::FANN] # Subtest: new
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Cannot read from file: 'missing'
[AI::FANN]     ok 1 - did we throws-like X::AdHoc?
[AI::FANN]     1..1
[AI::FANN] ok 1 - new
[AI::FANN] # Subtest: save
[AI::FANN]     # Subtest: did we throws-like X::AI::FANN?
[AI::FANN]         1..3
[AI::FANN]         not ok 1 - code dies
[AI::FANN]         # Failed test 'code dies'
[AI::FANN]         # at t/errors.t line 15
[AI::FANN]         ok 2 - # SKIP Code did not die, can not check exception
[AI::FANN]         ok 3 - # SKIP Code did not die, can not check exception
[AI::FANN]         # You failed 1 test of 3
[AI::FANN]     not ok 1 - did we throws-like X::AI::FANN?
[AI::FANN]     # Failed test 'did we throws-like X::AI::FANN?'
[AI::FANN]     # at t/errors.t line 15
[AI::FANN]     1..1
[AI::FANN]     # You failed 1 test of 1
[AI::FANN] not ok 2 - save
[AI::FANN] # Failed test 'save'
[AI::FANN] # at t/errors.t line 14
[AI::FANN] # Subtest: activation-function
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .range matches 1 2
[AI::FANN]         ok 4 - .what matches Layer index
[AI::FANN]     ok 1 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .what matches Layer index
[AI::FANN]         ok 4 - .range matches 1 2
[AI::FANN]     ok 2 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .what matches Layer index
[AI::FANN]         ok 4 - .range matches 1 2
[AI::FANN]     ok 3 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .range matches 0 1 2 3
[AI::FANN]         ok 4 - .what matches Neuron index
[AI::FANN]     ok 4 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .range matches 0 1 2 3
[AI::FANN]         ok 4 - .what matches Neuron index
[AI::FANN]     ok 5 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Invalid activation function: must be a value in AI::FANN::ActivationFunc
[AI::FANN]     ok 6 - did we throws-like X::AdHoc?
[AI::FANN]     ok 7 - Accepts plain numeric values
[AI::FANN]     1..7
[AI::FANN] ok 3 - activation-function
[AI::FANN] # Subtest: activation-steepness
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .range matches 1 2
[AI::FANN]         ok 4 - .what matches Layer index
[AI::FANN]     ok 1 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .what matches Layer index
[AI::FANN]         ok 4 - .range matches 1 2
[AI::FANN]     ok 2 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .range matches 1 2
[AI::FANN]         ok 4 - .what matches Layer index
[AI::FANN]     ok 3 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .range matches 0 1 2 3
[AI::FANN]         ok 4 - .what matches Neuron index
[AI::FANN]     ok 4 - did we throws-like X::OutOfRange?
[AI::FANN]     # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]         1..4
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::OutOfRange)
[AI::FANN]         ok 3 - .range matches 0 1 2 3
[AI::FANN]         ok 4 - .what matches Neuron index
[AI::FANN]     ok 5 - did we throws-like X::OutOfRange?
[AI::FANN]     ok 6 - Accepts plain numeric values
[AI::FANN]     1..6
[AI::FANN] ok 4 - activation-steepness
[AI::FANN] # Subtest: training-algorithm
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Invalid training algorithm: must be a value in AI::FANN::Train
[AI::FANN]     ok 1 - did we throws-like X::AdHoc?
[AI::FANN]     1..1
[AI::FANN] ok 5 - training-algorithm
[AI::FANN] # Subtest: train-error-function
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Invalid error function: must be a value in AI::FANN::ErrorFunc
[AI::FANN]     ok 1 - did we throws-like X::AdHoc?
[AI::FANN]     1..1
[AI::FANN] ok 6 - train-error-function
[AI::FANN] # Subtest: train-stop-function
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Invalid stop function: must be a value in AI::FANN::StopFunc
[AI::FANN]     ok 1 - did we throws-like X::AdHoc?
[AI::FANN]     1..1
[AI::FANN] ok 7 - train-stop-function
[AI::FANN] # Subtest: train
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Cannot read from file: 'missing'
[AI::FANN]     ok 1 - did we throws-like X::AdHoc?
[AI::FANN]     1..1
[AI::FANN] ok 8 - train
[AI::FANN] # Subtest: cascade-train
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Cannot read from file: 'missing'
[AI::FANN]     ok 1 - did we throws-like X::AdHoc?
[AI::FANN]     1..1
[AI::FANN] ok 9 - cascade-train
[AI::FANN] # Subtest: test
[AI::FANN]     # Subtest: did we throws-like X::AdHoc?
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AdHoc)
[AI::FANN]         ok 3 - .message matches Cannot read from file: 'missing'
[AI::FANN]     ok 1 - did we throws-like X::AdHoc?
[AI::FANN]     1..1
[AI::FANN] ok 10 - test
[AI::FANN] 1..10
[AI::FANN] # You failed 1 test of 10
[AI::FANN] Command: /tmp/whateverable/rakudo-moar/fe0e20c28859ea709eefad19af452c9d35dff20d/bin/rakudo -I /tmp/.zef.1765206726.13901/3bd5f6105ccebe2920c7704cf3ef8976313c07d4.tar.gz/AI-FANN-0.2.0 t/imports.t
[AI::FANN] ok 1 - Plain use only modifies AI namespace
[AI::FANN] ok 2 - Raw exports
[AI::FANN] ok 3 - Importing :enum imports correct names
[AI::FANN] ok 4 - Importing :error imports correct names
[AI::FANN] 1..4
[AI::FANN] Command: /tmp/whateverable/rakudo-moar/fe0e20c28859ea709eefad19af452c9d35dff20d/bin/rakudo -I /tmp/.zef.1765206726.13901/3bd5f6105ccebe2920c7704cf3ef8976313c07d4.tar.gz/AI-FANN-0.2.0 t/train-data.t
[AI::FANN] # Subtest: Create 
[AI::FANN]     ok 1 - Create from pairs
[AI::FANN]     ok 2 - Num input
[AI::FANN]     ok 3 - Num output
[AI::FANN]     ok 4 - Num data
[AI::FANN]     ok 5 - Can set input data
[AI::FANN]     ok 6 - Can set output data
[AI::FANN]     ok 7 - Scale returns self
[AI::FANN]     ok 8 - Can scale input data
[AI::FANN]     ok 9 - Output is unchanged
[AI::FANN]     ok 10 - Scale returns self
[AI::FANN]     ok 11 - Input is unchanged
[AI::FANN]     ok 12 - Can scale output data
[AI::FANN]     ok 13 - Scale returns self
[AI::FANN]     ok 14 - Can scale input data
[AI::FANN]     ok 15 - Can scale output data
[AI::FANN]     ok 16 - Shuffle returns self
[AI::FANN]     1..16
[AI::FANN] ok 1 - Create 
[AI::FANN] # Subtest: Create from pairs
[AI::FANN]     ok 1 - Create from pairs
[AI::FANN]     ok 2 - Num input
[AI::FANN]     ok 3 - Num output
[AI::FANN]     ok 4 - Num data
[AI::FANN]     # Subtest: :pairs must be Pairs
[AI::FANN]         # Subtest: did we throws-like X::AdHoc?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AdHoc)
[AI::FANN]             ok 3 - .message matches Values in :pairs must be Pair objects
[AI::FANN]         ok 1 - did we throws-like X::AdHoc?
[AI::FANN]         1..1
[AI::FANN]     ok 5 - :pairs must be Pairs
[AI::FANN]     # Subtest: Inputs must be consistent
[AI::FANN]         # Subtest: did we throws-like X::AdHoc?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AdHoc)
[AI::FANN]             ok 3 - .message matches Number of inputs must be consistent
[AI::FANN]         ok 1 - did we throws-like X::AdHoc?
[AI::FANN]         1..1
[AI::FANN]     ok 6 - Inputs must be consistent
[AI::FANN]     # Subtest: Outputs must be consistent
[AI::FANN]         # Subtest: did we throws-like X::AdHoc?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AdHoc)
[AI::FANN]             ok 3 - .message matches Number of outputs must be consistent
[AI::FANN]         ok 1 - did we throws-like X::AdHoc?
[AI::FANN]         1..1
[AI::FANN]     ok 7 - Outputs must be consistent
[AI::FANN]     # Subtest: Inputs must not be empty
[AI::FANN]         # Subtest: did we throws-like X::AdHoc?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AdHoc)
[AI::FANN]             ok 3 - .message matches Data must have at least one input
[AI::FANN]         ok 1 - did we throws-like X::AdHoc?
[AI::FANN]         1..1
[AI::FANN]     ok 8 - Inputs must not be empty
[AI::FANN]     # Subtest: Outputs must not be empty
[AI::FANN]         # Subtest: did we throws-like X::AdHoc?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AdHoc)
[AI::FANN]             ok 3 - .message matches Data must have at least one output
[AI::FANN]         ok 1 - did we throws-like X::AdHoc?
[AI::FANN]         1..1
[AI::FANN]     ok 9 - Outputs must not be empty
[AI::FANN]     1..9
[AI::FANN] ok 2 - Create from pairs
[AI::FANN] # Subtest: Subset and merge
[AI::FANN]     ok 1 - Original data length
[AI::FANN]     ok 2 - Can subset from start
[AI::FANN]     ok 3 - Can subset from middle
[AI::FANN]     ok 4 - Can combine subsets
[AI::FANN]     ok 5 - Can clone data set
[AI::FANN]     # Subtest: Input data must match when merging
[AI::FANN]         # Subtest: did we throws-like X::AI::FANN?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AI::FANN)
[AI::FANN]             ok 3 - .code matches FANN_E_TRAIN_DATA_MISMATCH
[AI::FANN]         ok 1 - did we throws-like X::AI::FANN?
[AI::FANN]         1..1
[AI::FANN]     ok 6 - Input data must match when merging
[AI::FANN]     # Subtest: Output data must match when merging
[AI::FANN]         # Subtest: did we throws-like X::AI::FANN?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AI::FANN)
[AI::FANN]             ok 3 - .code matches FANN_E_TRAIN_DATA_MISMATCH
[AI::FANN]         ok 1 - did we throws-like X::AI::FANN?
[AI::FANN]         1..1
[AI::FANN]     ok 7 - Output data must match when merging
[AI::FANN]     # Subtest: Subset position must be positive
[AI::FANN]         # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]             1..4
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::OutOfRange)
[AI::FANN]             ok 3 - .range matches 0 1 2 3
[AI::FANN]             ok 4 - .what matches Subset position
[AI::FANN]         ok 1 - did we throws-like X::OutOfRange?
[AI::FANN]         1..1
[AI::FANN]     ok 8 - Subset position must be positive
[AI::FANN]     # Subtest: Subset position must be within data
[AI::FANN]         # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]             1..4
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::OutOfRange)
[AI::FANN]             ok 3 - .what matches Subset position
[AI::FANN]             ok 4 - .range matches 0 1 2 3
[AI::FANN]         ok 1 - did we throws-like X::OutOfRange?
[AI::FANN]         1..1
[AI::FANN]     ok 9 - Subset position must be within data
[AI::FANN]     # Subtest: Subset length depends on pos
[AI::FANN]         # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]             1..4
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::OutOfRange)
[AI::FANN]             ok 3 - .range matches 1 2 3 4
[AI::FANN]             ok 4 - .what matches Subset length
[AI::FANN]         ok 1 - did we throws-like X::OutOfRange?
[AI::FANN]         # Subtest: did we throws-like X::OutOfRange?
[AI::FANN]             1..4
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::OutOfRange)
[AI::FANN]             ok 3 - .what matches Subset length
[AI::FANN]             ok 4 - .range matches 1 2
[AI::FANN]         ok 2 - did we throws-like X::OutOfRange?
[AI::FANN]         1..2
[AI::FANN]     ok 10 - Subset length depends on pos
[AI::FANN]     1..10
[AI::FANN] ok 3 - Subset and merge
[AI::FANN] # Subtest: File I/O
[AI::FANN]     ok 1 - 
[AI::FANN]     ok 2 - Can save with Str
[AI::FANN]     ok 3 - Can save with IO::Path
[AI::FANN]     ok 4 - Can read from Str
[AI::FANN]     ok 5 - Read data is equivalent
[AI::FANN]     ok 6 - Can read from IO::Path
[AI::FANN]     # Subtest: File must be writable to save
[AI::FANN]         # Subtest: did we throws-like X::AI::FANN?
[AI::FANN]             1..3
[AI::FANN]             not ok 1 - code dies
[AI::FANN]             # Failed test 'code dies'
[AI::FANN]             # at t/train-data.t line 183
[AI::FANN]             ok 2 - # SKIP Code did not die, can not check exception
[AI::FANN]             ok 3 - # SKIP Code did not die, can not check exception
[AI::FANN]             # You failed 1 test of 3
[AI::FANN]         not ok 1 - did we throws-like X::AI::FANN?
[AI::FANN]         # Failed test 'did we throws-like X::AI::FANN?'
[AI::FANN]         # at t/train-data.t line 183
[AI::FANN]         1..1
[AI::FANN]         # You failed 1 test of 1
[AI::FANN]     not ok 7 - File must be writable to save
[AI::FANN]     # Failed test 'File must be writable to save'
[AI::FANN]     # at t/train-data.t line 182
[AI::FANN]     # Subtest: File must be readable to read
[AI::FANN]         # Subtest: did we throws-like X::AdHoc?
[AI::FANN]             1..3
[AI::FANN]             ok 1 - code dies
[AI::FANN]             ok 2 - right exception type (X::AdHoc)
[AI::FANN]             ok 3 - .message matches /'Cannot read from file: '/
[AI::FANN]         ok 1 - did we throws-like X::AdHoc?
[AI::FANN]         1..1
[AI::FANN]     ok 8 - File must be readable to read
[AI::FANN]     1..8
[AI::FANN]     # You failed 1 test of 8
[AI::FANN] not ok 4 - File I/O
[AI::FANN] # Failed test 'File I/O'
[AI::FANN] # at t/train-data.t line 157
[AI::FANN] 1..4
[AI::FANN] # You failed 1 test of 4
[AI::FANN] Command: /tmp/whateverable/rakudo-moar/fe0e20c28859ea709eefad19af452c9d35dff20d/bin/rakudo -I /tmp/.zef.1765206726.13901/3bd5f6105ccebe2920c7704cf3ef8976313c07d4.tar.gz/AI-FANN-0.2.0 t/training.t
[AI::FANN] ok 1 - callback returns self
[AI::FANN] ok 2 - train returns self
[AI::FANN] ok 3 - Callback ran every 2 epochs and could be stopped
[AI::FANN] ok 4 - Clearing a callback returns self
[AI::FANN] # Subtest: did we throws-like X::AdHoc?
[AI::FANN]     1..3
[AI::FANN]     ok 1 - code dies
[AI::FANN]     ok 2 - right exception type (X::AdHoc)
[AI::FANN]     ok 3 - .message matches /'The callback method'/
[AI::FANN] ok 5 - did we throws-like X::AdHoc?
[AI::FANN] # Subtest: Scaling
[AI::FANN]     # Subtest: Scale needs scaling factor
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AI::FANN)
[AI::FANN]         ok 3 - .code matches FANN_E_SCALE_NOT_PRESENT
[AI::FANN]     ok 1 - Scale needs scaling factor
[AI::FANN]     # Subtest: Descale needs scaling factor
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AI::FANN)
[AI::FANN]         ok 3 - .code matches FANN_E_SCALE_NOT_PRESENT
[AI::FANN]     ok 2 - Descale needs scaling factor
[AI::FANN]     ok 3 - Scaling returns self
[AI::FANN]     ok 4 - Scaling with only input returns self
[AI::FANN]     ok 5 - Scaling with only output returns self
[AI::FANN]     ok 6 - Scale returns self
[AI::FANN]     ok 7 - Scaled input data
[AI::FANN]     ok 8 - Scaled output data
[AI::FANN]     ok 9 - Descale returns self
[AI::FANN]     ok 10 - Descaled input data
Aborting due to test failure: AI::FANN:ver<0.2.0>:auth<zef:jjatria> (use --force-test to override)
[AI::FANN]     ok 11 - Descaled output data
[AI::FANN]     ok 12 - Scaling CArray input returns self
[AI::FANN]     ok 13 - Scaled CArray input
[AI::FANN]     ok 14 - Descaling CArray input returns self
[AI::FANN]     ok 15 - Descaled CArray input
[AI::FANN]     ok 16 - Scaling CArray output returns self
[AI::FANN]     ok 17 - Scaled CArray output
[AI::FANN]     ok 18 - Descaling CArray output returns self
[AI::FANN]     ok 19 - Descaled CArray output
[AI::FANN]     ok 20 - Scaling array input returns self
[AI::FANN]     ok 21 - Scaled array input
[AI::FANN]     ok 22 - Descaling array input returns self
[AI::FANN]     ok 23 - Descaled array input
[AI::FANN]     ok 24 - Scaling array output returns self
[AI::FANN]     ok 25 - Scaled array output
[AI::FANN]     ok 26 - Descaling array output returns self
[AI::FANN]     ok 27 - Descaled array output
[AI::FANN]     ok 28 - Clearing scaling returns self
[AI::FANN]     # Subtest: Scaling needs matching dataset
[AI::FANN]         1..3
[AI::FANN]         ok 1 - code dies
[AI::FANN]         ok 2 - right exception type (X::AI::FANN)
[AI::FANN]         ok 3 - .code matches FANN_E_TRAIN_DATA_MISMATCH
[AI::FANN]     ok 29 - Scaling needs matching dataset
[AI::FANN]     1..29
[AI::FANN] ok 6 - Scaling
[AI::FANN] 1..6
===> Testing [FAIL]: AI::FANN:ver<0.2.0>:auth<zef:jjatria>