-
Notifications
You must be signed in to change notification settings - Fork 5
/
1.6.0-DEV-7d3dac44dc.log
295 lines (284 loc) · 12.3 KB
/
1.6.0-DEV-7d3dac44dc.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
Julia Version 1.6.0-DEV.1148
Commit 7d3dac44dc (2020-10-06 21:26 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: AMD EPYC 7502 32-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-10.0.1 (ORCJIT, znver2)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed SortingAlgorithms ─────────── v0.3.1
Installed VersionParsing ────────────── v1.2.0
Installed MLJModelInterface ─────────── v0.3.5
Installed DataAPI ───────────────────── v1.3.0
Installed MLJScikitLearnInterface ───── v0.1.5
Installed CategoricalArrays ─────────── v0.8.3
Installed DataFrames ────────────────── v0.21.7
Installed Compat ────────────────────── v3.18.0
Installed DataValueInterfaces ───────── v1.0.0
Installed ScientificTypes ───────────── v1.1.0
Installed Tables ────────────────────── v1.1.0
Installed Parsers ───────────────────── v1.0.10
Installed StructTypes ───────────────── v1.1.0
Installed ScikitLearn ───────────────── v0.6.2
Installed JSON ──────────────────────── v0.21.1
Installed PooledArrays ──────────────── v0.5.3
Installed ScikitLearnBase ───────────── v0.5.0
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed MacroTools ────────────────── v0.5.5
Installed PyCall ────────────────────── v1.92.1
Installed Conda ─────────────────────── v1.4.1
Installed DataStructures ────────────── v0.18.7
Installed StatsBase ─────────────────── v0.33.1
Installed UnPack ────────────────────── v1.0.2
Installed Missings ──────────────────── v0.4.4
Installed OrderedCollections ────────── v1.3.1
Installed Reexport ──────────────────── v0.2.0
Installed InvertedIndices ───────────── v1.0.0
Installed Parameters ────────────────── v0.12.1
Installed IterTools ─────────────────── v1.3.0
Installed TableTraits ───────────────── v1.0.0
Updating `~/.julia/environments/v1.6/Project.toml`
[5ae90465] + MLJScikitLearnInterface v0.1.5
Updating `~/.julia/environments/v1.6/Manifest.toml`
[324d7699] + CategoricalArrays v0.8.3
[34da2185] + Compat v3.18.0
[8f4d0f93] + Conda v1.4.1
[9a962f9c] + DataAPI v1.3.0
[a93c6f00] + DataFrames v0.21.7
[864edb3b] + DataStructures v0.18.7
[e2d170a0] + DataValueInterfaces v1.0.0
[41ab1584] + InvertedIndices v1.0.0
[c8e1da08] + IterTools v1.3.0
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.1
[e80e1ace] + MLJModelInterface v0.3.5
[5ae90465] + MLJScikitLearnInterface v0.1.5
[1914dd2f] + MacroTools v0.5.5
[e1d29d7a] + Missings v0.4.4
[bac558e1] + OrderedCollections v1.3.1
[d96e819e] + Parameters v0.12.1
[69de0a69] + Parsers v1.0.10
[2dfb63ee] + PooledArrays v0.5.3
[438e738f] + PyCall v1.92.1
[189a3867] + Reexport v0.2.0
[321657f4] + ScientificTypes v1.1.0
[3646fa90] + ScikitLearn v0.6.2
[6e75b9c4] + ScikitLearnBase v0.5.0
[a2af1166] + SortingAlgorithms v0.3.1
[2913bbd2] + StatsBase v0.33.1
[856f2bd8] + StructTypes v1.1.0
[3783bdb8] + TableTraits v1.0.0
[bd369af6] + Tables v1.1.0
[3a884ed6] + UnPack v1.0.2
[81def892] + VersionParsing v1.2.0
[56f22d72] + Artifacts
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[fa267f1f] + TOML
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/7a58bb32ce5d85f8bf7559aa7c2842f9aecf52fc/build.log`
Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/b6dff5fa725eff4f775f472acd86756d6e31fb02/build.log`
Testing MLJScikitLearnInterface
Status `/tmp/jl_J1OsXZ/Project.toml`
[a7f614a8] MLJBase v0.15.2
[e80e1ace] MLJModelInterface v0.3.5
[5ae90465] MLJScikitLearnInterface v0.1.5
[438e738f] PyCall v1.92.1
[3646fa90] ScikitLearn v0.6.2
[860ef19b] StableRNGs v1.0.0
[8dfed614] Test
Status `/tmp/jl_J1OsXZ/Manifest.toml`
[fbb218c0] BSON v0.2.6
[324d7699] CategoricalArrays v0.8.3
[944b1d66] CodecZlib v0.7.0
[3da002f7] ColorTypes v0.10.9
[34da2185] Compat v3.18.0
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[ed09eef8] ComputationalResources v0.3.2
[8f4d0f93] Conda v1.4.1
[a8cc5b0e] Crayons v4.0.4
[9a962f9c] DataAPI v1.3.0
[a93c6f00] DataFrames v0.21.7
[864edb3b] DataStructures v0.18.7
[e2d170a0] DataValueInterfaces v1.0.0
[31c24e10] Distributions v0.23.12
[e2ba6199] ExprTools v0.1.2
[8f5d6c58] EzXML v1.1.0
[48062228] FilePathsBase v0.9.5
[1a297f60] FillArrays v0.9.6
[53c48c17] FixedPointNumbers v0.8.4
[59287772] Formatting v0.4.1
[cd3eb016] HTTP v0.8.19
[83e8ac13] IniFile v0.5.0
[41ab1584] InvertedIndices v1.0.0
[c8e1da08] IterTools v1.3.0
[82899510] IteratorInterfaceExtensions v1.0.0
[9da8a3cd] JLSO v2.3.3
[682c06a0] JSON v0.21.1
[7f8f8fb0] LearnBase v0.4.1
[94ce4f54] Libiconv_jll v1.16.0+6
[30fc2ffe] LossFunctions v0.6.2
[a7f614a8] MLJBase v0.15.2
[e80e1ace] MLJModelInterface v0.3.5
[2e2323e0] MLJScientificTypes v0.3.0
[5ae90465] MLJScikitLearnInterface v0.1.5
[1914dd2f] MacroTools v0.5.5
[739be429] MbedTLS v1.0.2
[c8ffd9c3] MbedTLS_jll v2.16.8+0
[f28f55f0] Memento v1.1.1
[e1d29d7a] Missings v0.4.4
[78c3b35d] Mocking v0.7.1
[efe28fd5] OpenSpecFun_jll v0.5.3+3
[bac558e1] OrderedCollections v1.3.1
[90014a1f] PDMats v0.10.1
[d96e819e] Parameters v0.12.1
[69de0a69] Parsers v1.0.10
[2dfb63ee] PooledArrays v0.5.3
[08abe8d2] PrettyTables v0.9.1
[92933f4c] ProgressMeter v1.4.0
[438e738f] PyCall v1.92.1
[1fd47b50] QuadGK v2.4.1
[3cdcf5f2] RecipesBase v1.1.0
[189a3867] Reexport v0.2.0
[79098fc4] Rmath v0.6.1
[f50d1b31] Rmath_jll v0.2.2+1
[321657f4] ScientificTypes v1.1.0
[3646fa90] ScikitLearn v0.6.2
[6e75b9c4] ScikitLearnBase v0.5.0
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.10.3
[860ef19b] StableRNGs v1.0.0
[90137ffa] StaticArrays v0.12.4
[2913bbd2] StatsBase v0.33.1
[4c63d2b9] StatsFuns v0.9.5
[856f2bd8] StructTypes v1.1.0
[cea106d9] Syslogs v0.3.0
[3783bdb8] TableTraits v1.0.0
[bd369af6] Tables v1.1.0
[f269a46b] TimeZones v1.4.0
[3bb67fe8] TranscodingStreams v0.9.5
[3a884ed6] UnPack v1.0.2
[81def892] VersionParsing v1.2.0
[02c8fc9c] XML2_jll v2.9.10+2
[83775a58] Zlib_jll v1.2.11+16
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[fa267f1f] TOML
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
Testing Running tests...
[ Info: Installing sklearn via the Conda scikit-learn package...
[ Info: Running `conda install -q -y scikit-learn` in root environment
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done
## Package Plan ##
environment location: /home/pkgeval/.julia/conda/3
added / updated specs:
- scikit-learn
The following packages will be downloaded:
package | build
---------------------------|-----------------
joblib-0.17.0 | py_0 206 KB
libgfortran-ng-7.3.0 | hdf63c60_0 1006 KB
scikit-learn-0.23.2 | py38h0573a6f_0 5.2 MB
scipy-1.5.2 | py38h0b6359f_0 14.5 MB
threadpoolctl-2.1.0 | pyh5ca1d4c_0 17 KB
------------------------------------------------------------
Total: 20.8 MB
The following NEW packages will be INSTALLED:
joblib pkgs/main/noarch::joblib-0.17.0-py_0
libgfortran-ng pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
scikit-learn pkgs/main/linux-64::scikit-learn-0.23.2-py38h0573a6f_0
scipy pkgs/main/linux-64::scipy-1.5.2-py38h0b6359f_0
threadpoolctl pkgs/main/noarch::threadpoolctl-2.1.0-pyh5ca1d4c_0
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
reg-mdl: Test Failed at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/lph5o/test/macros.jl:12
Expression: MB.load_path(m) == "MLJScikitLearnInterface.ARDRegressor"
Evaluated: "MLJScikitLearnInterface.typename(ARDRegressor)" == "MLJScikitLearnInterface.ARDRegressor"
Stacktrace:
[1] top-level scope
@ ~/.julia/packages/MLJScikitLearnInterface/lph5o/test/macros.jl:12
[2] top-level scope
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Test/src/Test.jl:1144
[3] top-level scope
@ ~/.julia/packages/MLJScikitLearnInterface/lph5o/test/macros.jl:2
Test Summary: | Pass Fail Total
reg-mdl | 6 1 7
ERROR: LoadError: LoadError: Some tests did not pass: 6 passed, 1 failed, 0 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/lph5o/test/macros.jl:1
in expression starting at /home/pkgeval/.julia/packages/MLJScikitLearnInterface/lph5o/test/runtests.jl:10
ERROR: Package MLJScikitLearnInterface errored during testing
Stacktrace:
[1] pkgerror(msg::String)
@ Pkg.Types /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/Types.jl:52
[2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing)
@ Pkg.Operations /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/Operations.jl:1609
[3] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:331
[4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec})
@ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:318
[5] #test#62
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:68 [inlined]
[6] test
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:68 [inlined]
[7] #test#61
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
[8] test
@ /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:66 [inlined]
[9] test(pkg::String; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
[10] test(pkg::String)
@ Pkg.API /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Pkg/src/API.jl:65
[11] top-level scope
@ none:19