Download repository: gzip error

1

Esteemed,
I downloaded the example files from the fenics from the following site:

However when generating some examples it generates the following error:
RuntimeError: gzip error: unspecified iostream_category error

I tried to do the page procedure:

But already in the first command:

git lfs fetch --all origin

the following error appears:

git: ‘lfs’ is not a git command. See ‘git --help’.

Does anyone know any better way to solve this problem with .xml.gz files?

2

See for instance: https://stackoverflow.com/questions/48734119/git-lfs-is-not-a-git-command-unclear/48734334

3

Dear, I did the procedure on both ios and ubuntu and it didn’t work.

If someone has had the same problem, I would like more help!

4

Have you installed git lfs?

5

see the screenshot of the screens:
01

02

I also redid this installation procedure inside the Fenics2 base.

6

Is the actual xml.gz file present in the undocumented folder? Did you do a git lfs clone of the dolfin repository?

7

yes, see:

03
031806×1612 310 KB

8

Did you do git lfs clone https://bitbucket.org/fenics-project/dolfin.git
When I do the following:

git lfs clone https://bitbucket.org/fenics-project/dolfin.git
WARNING: 'git lfs clone' is deprecated and will not be updated
          with new flags from 'git clone'

'git clone' has been updated in upstream Git to have comparable
speeds to 'git lfs clone'.
Cloning into 'dolfin'...
remote: Counting objects: 239548, done.
remote: Compressing objects: 100% (67375/67375), done.
remote: Total 239548 (delta 183449), reused 216734 (delta 166787)
Receiving objects: 100% (239548/239548), 50.06 MiB | 11.20 MiB/s, done.
Resolving deltas: 100% (183449/183449), done.
100% (19/19), 4.0 MB | 1.7 MB/s                        
fenics@efb4cca4c914:~$ cd dolfin/python/demo/undocumented/contact-vi-tao/
fenics@efb4cca4c914:~/dolfin/python/demo/undocumented/contact-vi-tao$ python3 demo_contact-vi-tao.py 
  0 TAO,  Function value: 0.,  Residual: 0.117024 
  1 TAO,  Function value: -0.0812063,  Residual: 1.17942 
  2 TAO,  Function value: -0.277678,  Residual: 1.38836 
  3 TAO,  Function value: -0.400042,  Residual: 1.53351 
  4 TAO,  Function value: -0.574979,  Residual: 0.813085 
  5 TAO,  Function value: -0.663451,  Residual: 0.375458 
  6 TAO,  Function value: -0.709755,  Residual: 0.448136 
  7 TAO,  Function value: -0.71262,  Residual: 0.0058979 
  8 TAO,  Function value: -0.712621,  Residual: 5.27882e-06 
  9 TAO,  Function value: -0.712621,  Residual: 1.94682e-11 
Tao Object: 1 MPI processes
  type: tron
  Total PG its: 27,  PG tolerance: 0.001 
  TaoLineSearch Object: 1 MPI processes
    type: gpcg
     GPCG Line search    maximum function evaluations=30
    tolerances: ftol=0.05, rtol=0., gtol=0.
    total number of function evaluations=0
    total number of gradient evaluations=0
    total number of function/gradient evaluations=1
    using variable bounds
    Termination reason: 1
  KSP Object: 1 MPI processes
    type: stcg
    maximum iterations=10000, initial guess is zero
    tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
    left preconditioning
    using UNPRECONDITIONED norm type for convergence test
  PC Object: 1 MPI processes
    type: ilu
      out-of-place factorization
      0 levels of fill
      tolerance for zero pivot 2.22045e-14
      matrix ordering: natural
      factor fill ratio given 1., needed 1.
        Factored matrix follows:
          Mat Object: 1 MPI processes
            type: seqaij
            rows=3400, cols=3400
            package used to perform factorization: petsc
            total: nonzeros=45886, allocated nonzeros=45886
            total number of mallocs used during MatSetValues calls=0
              using I-node routines: found 1744 nodes, limit used is 5
    linear system matrix = precond matrix:
    Mat Object: 1 MPI processes
      type: seqaij
      rows=3400, cols=3400
      total: nonzeros=45886, allocated nonzeros=45886
      total number of mallocs used during MatSetValues calls=0
        using I-node routines: found 1744 nodes, limit used is 5
  total KSP iterations: 302
  Active Set subset type: subvec
  convergence tolerances: gatol=1e-08,   steptol=0.,   gttol=0.
  Residual in Function/Gradient:=1.94682e-11
  Objective value=-0.712621
  total number of iterations=9,                          (max: 100)
  total number of function/gradient evaluations=45,      (max: 10000)
  total number of Hessian evaluations=9
  Solution converged:    ||g(X)|| <= gatol
*** Warning: Matplotlib backend does not support 'wireframe' kwarg yet. Ignoring it...

I have no issues with running the demo