title: How do I read a multi-line list from a file in Python?
body: <p>I have a file which has lists spanned across multiple lines - with the length of the lists as constant. However, in each line the number of elements can varied.
  How do I read this file in Python to read each list as a whole? </p>
  
  <p>Edit: Would prefer a non-regex solution.</p>
  
  <p>The file which looks something like this (just for illustration):</p>
  
  <pre><code>   [ -6.70031086e-02   5.93684241e-02   1.11689426e-01   1.16174825e-01
        -3.74981388e-02   4.05267589e-02   2.02941950e-02   1.65661901e-01
         9.88883078e-02  -1.86108038e-01  -2.09761858e-01   2.08867267e-02
        -7.34964982e-02  -1.38626635e-01   1.33853648e-02  -1.11527992e-02
         7.19301552e-02   5.71861453e-02  -8.56672525e-02   8.01878721e-02
        -2.27990234e-03   8.93531218e-02  -7.99949542e-02  -3.89122330e-02
         3.07365637e-02  -1.14912149e-02  -1.25382066e-01   1.61550958e-02
        -9.03828740e-02  -8.40659663e-02   2.35458408e-02   6.62269741e-02
        -6.83306251e-03   3.86000201e-02  -2.85124127e-02  -1.22550033e-01
         6.14493713e-02   5.42194061e-02  -9.98141840e-02   3.87526527e-02
        -1.77935660e-02   6.59185136e-03  -7.56490007e-02  -8.04342143e-03
         4.22548652e-02  -4.90937680e-02   7.31833130e-02   4.60098870e-02
        -3.38455513e-02   7.72312284e-02   1.69506043e-01   8.54071528e-02
        -5.15969582e-02  -8.66574422e-02   2.78513003e-02  -8.26551542e-02
         5.72918989e-02  -8.63238499e-02  -1.09750973e-02  -1.04178898e-01
         4.04170994e-03   7.16830865e-02   1.16529778e-01   1.65875465e-01
         1.82720050e-02   1.71985731e-01  -2.09263922e-03  -3.31376195e-02
         1.26107544e-01   1.47209521e-02  -1.41869476e-02   5.07163629e-02
         1.49011686e-01   9.49593708e-02   4.67912182e-02  -8.64533633e-02
         4.12282310e-02   8.19735080e-02   1.49312839e-02   2.14010417e-01
         1.43005610e-01  -6.68876693e-02   1.25497788e-01  -8.12855735e-02
         1.89039335e-02  -7.57512003e-02   4.25233506e-02  -6.90079033e-02
         8.08808357e-02  -3.47024412e-03   2.63141114e-02   1.61882326e-01
         1.25483396e-02   1.45484000e-01   3.12147997e-02   5.61049813e-03
        -1.52215753e-02  -9.00566354e-02   7.78550655e-02   2.32269196e-03
         6.35183901e-02  -1.34039536e-01   1.12368152e-01  -5.65479957e-02
        -1.40751451e-01  -3.24242609e-03  -2.60595884e-02  -3.79961394e-02
         9.53520015e-02   1.18161231e-01  -6.31203428e-02   6.54687434e-02
        -8.70579779e-02   1.64551754e-02  -4.66874018e-02  -2.02252846e-02
         1.81142420e-01  -4.29894254e-02   8.62734243e-02  -1.96067482e-01
        -5.18136062e-02  -1.02697751e-02  -8.20104256e-02  -7.04407394e-02
        -1.37479603e-01   1.51444465e-01   1.46553725e-01   6.87731877e-02]
      [ 0.13552369 -0.05061625  0.13381879 -0.09299553 -0.10647763 -0.02260791
        0.00843107  0.01909993  0.0252617  -0.09204189  0.11444099  0.16380875
       -0.26470438  0.04185624  0.08701419 -0.00960395  0.03196884  0.05695887
        0.03903539  0.0330128   0.0088141   0.03981387 -0.2256397   0.1373885
       -0.00823926 -0.23756374  0.14071368  0.15679301  0.05020505  0.00083234
        0.14197688 -0.17108534 -0.03471961 -0.09328505  0.04228394  0.07565336
       -0.06243521 -0.09347741 -0.00821514 -0.06649745  0.05205032 -0.00554045
       -0.00386953  0.05514322 -0.0234912  -0.11922046  0.14259741 -0.04250529
        0.02933454  0.09837652 -0.04943179 -0.01795183  0.11347186 -0.0262726
        0.14694421  0.00120262  0.02876565  0.06762701 -0.06783341 -0.0130248
        0.0304249   0.04527348  0.15238339  0.01605285  0.02574495  0.03512112
       -0.05733667 -0.09585288  0.05414675  0.14885603 -0.02176115 -0.11798949
        0.10624658  0.04126133  0.0355645  -0.0176413   0.01316    -0.0731855
        0.06095812 -0.03693416  0.05717857 -0.06640249  0.02760602 -0.11397229
       -0.08891453 -0.05422837 -0.00309273 -0.08528782  0.04416328  0.10460843
        0.08477673 -0.03460682  0.26425052  0.027636   -0.01395808 -0.04762371
       -0.11365297 -0.09291256  0.02920797  0.1462263  -0.1354932  -0.00904074
        0.16209167 -0.0351855   0.0287815   0.082674    0.03369482 -0.04522609
        0.01189264 -0.03094579 -0.1829372  -0.0331573   0.03074961 -0.01479802
       -0.06882931 -0.02879945  0.04064524  0.1048708   0.11631119 -0.13730904
       -0.01107442  0.07329052  0.013919    0.02282012  0.14160685 -0.08278389
        0.04416744  0.17811519  0.06306098 -0.15048456 -0.08337893  0.06718753
        0.02712255  0.0626005   0.05940831  0.08399926  0.22958109 -0.06148282
       -0.05348093 -0.05489948  0.18494032 -0.01777483  0.03008986  0.03045709
       -0.09592026  0.17701676 -0.21119906 -0.01997624  0.15930974 -0.03315869 ]
  </code></pre>