文件列表:

AUTHORS (262, 2023-11-21)
LICENSE.md (1076, 2023-11-21)
compatibility/ (0, 2023-11-21)
compatibility/blkdiag_comp.m (219, 2023-11-21)
compatibility/bwlabeln_comp.m (345, 2023-11-21)
compatibility/bwselect_comp.m (553, 2023-11-21)
compatibility/cconv_comp.m (420, 2023-11-21)
compatibility/circshift_comp.m (661, 2023-11-21)
compatibility/colon_comp.m (228, 2023-11-21)
compatibility/datestr_comp.m (4334, 2023-11-21)
compatibility/dec2base_comp.m (431, 2023-11-21)
compatibility/dec2bin_comp.m (339, 2023-11-21)
compatibility/diff_comp.m (164, 2023-11-21)
compatibility/disp_comp.m (1483, 2023-11-21)
compatibility/factor_comp.m (1760, 2023-11-21)
compatibility/fftn_comp.m (305, 2023-11-21)
compatibility/gcd_comp.m (155, 2023-11-21)
compatibility/genHyper_license.txt (1312, 2023-11-21)
compatibility/hypergeom_comp.m (61301, 2023-11-21)
compatibility/im2col_comp.m (454, 2023-11-21)
compatibility/imshow_comp.m (474, 2023-11-21)
compatibility/intersect_comp.m (1307, 2023-11-21)
compatibility/ismember_comp.m (1658, 2023-11-21)
compatibility/lcm_comp.m (155, 2023-11-21)
compatibility/logical_comp.m (110, 2023-11-21)
compatibility/mat2str_comp.m (716, 2023-11-21)
compatibility/max_comp.m (527, 2023-11-21)
compatibility/mean_comp.m (194, 2023-11-21)
compatibility/min_comp.m (527, 2023-11-21)
compatibility/mod_comp.m (323, 2023-11-21)
compatibility/mode_comp.m (347, 2023-11-21)
compatibility/nchoosek_comp.m (433, 2023-11-21)
compatibility/nnz_comp.m (348, 2023-11-21)
compatibility/num2str_comp.m (853, 2023-11-21)
compatibility/pdist2_comp.m (300, 2023-11-21)
compatibility/perms_comp.m (236, 2023-11-21)
compatibility/prod_comp.m (648, 2023-11-21)
... ...

# MATL A programming language based on MATLAB/Octave and suitable for code golf. The compiler works in MATLAB R2015b or newer. Probably in older versions too, except for some specific functions. It is also compatible with Octave 4.0.0. The compiler tries to ensure consistent behaviour in both platforms. In addition, you can use it at [Try it online!](https://tio.run/#matl) and at [MATL Online](https://matl.io/). Installation: unpack the compressed file to a folder, and make that folder part of MATLAB's or Octave's search path. Test: running `matl 10:&*` from the command window should produce a decimal multiplication table. Usage: see [specification document](https://github.com/lmendo/MATL/blob/master/spec/MATL_spec.pdf).

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