Strange leading zeros in REPL array printing

[mschauer]

Something is amiss with the formula used to calculate the number of digits in the entries of an array used in the repl.

julia> [2.,3.]
2-element Array{Float64,1}:
 02.0
 03.0

julia> [2.0,2.3]
2-element Array{Float64,1}:
 02.0
  2.3

Edit:

Julia Version 0.4.0-dev+3967
Commit b8a510d* (2015-03-23 13:19 UTC)
Platform Info:
  System: Linux (x86_64-redhat-linux)
  CPU: Intel(R) Core(TM) i5-4590 CPU @ 3.30GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge)
  LAPACK: libopenblas
  LIBM: libopenlibm
  LLVM: libLLVM-3.3

[tkelman]

Can you try with latest master? I don't see leading zeros for either of your examples. What platform are you on?

[andreasnoack]

I've seen this occasionally, but it disappears when Julia is restarted and I don't know what it is triggered by.

[mschauer]

You are right, it is intermittent. I would not expect to gain any insight from an update to master and I will wait for the dust from the tuple change to settle before I update julia again.

[PythonNut]

@mschauer as another data point. I don't see any of this on my fresh build of master. Maybe I haven't tried hard enough...

[mschauer]

Recent wild encounter. It happend right after hitting uparrow and modifying one value of R.

julia> R=[1. 1 0
          0 2 0
          0 1 1]
3x3 Array{Float64,2}:
 1.0  1.0  0.0
 0.0  Error showing value of type Array{Float64,2}:
ERROR: ArgumentError: can't repeat a string -1 times
 in repeat at ./strings/types.jl:169
 in print_matrix_row at show.jl:1002
 in print_matrix at show.jl:1046
 in showarray at show.jl:1225
 in anonymous at replutil.jl:29
 in with_output_limit at ./show.jl:1242
 in writemime at replutil.jl:28
 in display at REPL.jl:113
 in display at REPL.jl:116
 in display at multimedia.jl:151
 in print_response at REPL.jl:133
 in print_response at REPL.jl:120
 in anonymous at REPL.jl:621
 in run_interface at ./LineEdit.jl:1586
 in run_frontend at ./REPL.jl:862
 in run_repl at ./REPL.jl:165
 in _start at ./client.jl:453

julia> R=[1. 1 0
          0 2 0
          0 1 1]
3x3 Array{Float64,2}:
 1.0   1.0  0.0
 0.0  02.0  0.0
 0.0   1.0  1.0

[mschauer]

Note that this shows both #10908 and #10931 happening in a row non-deterministically.