{"push_id":621498629,"size":27,"distinct_size":27,"ref":"refs/heads/feature/refactor-lens-agent-class","head":"c8f4a2bd6c9997b42512a96bcd6a9c8f310e5500","before":"a747578e40afa1237ccb7618fa47c3e7c611d947","commits":[{"sha":"85be8580f04afcb0032931a5bd14b9ffea714527","author":{"email":"f1bb3d789efcff2c80cee3fe0e208088b2b40a5d@yahoo.com","name":"Daniel Chen"},"message":"add commented sections before different agent classes\n\nmakes looking for start of class definitions easier","distinct":true,"url":"https://api.github.com/repos/chendaniely/multi-agent-neural-network/commits/85be8580f04afcb0032931a5bd14b9ffea714527"},{"sha":"1b68a605053ed2cf641643435f2d039beebb5569","author":{"email":"f1bb3d789efcff2c80cee3fe0e208088b2b40a5d@yahoo.com","name":"Daniel Chen"},"message":"_call_lens no longer a hidden, renamed param name, and added docstring\n\ncall lens is now a public method.  This will allow child classes to\ninhered the method to use.\n\nadded doc string\n\nrenamed param from lens_in_file to Lens_in_file_dir to signify that it\nneeds the directory and .in file to be passed\n\nalso deleted commented out lines in function","distinct":true,"url":"https://api.github.com/repos/chendaniely/multi-agent-neural-network/commits/1b68a605053ed2cf641643435f2d039beebb5569"},{"sha":"4ff9c0bc24468fdb9329954bd66c0f589d0266f8","author":{"email":"f1bb3d789efcff2c80cee3fe0e208088b2b40a5d@yahoo.com","name":"Daniel Chen"},"message":"call_lens subprocess call param updates\n\n- rename the lens_in_file -> lens_in_file_dir, this makes it the same as\nthe function parameter\n\n- the subprocess call now takes just passes in the **kwargs from the\nfunction call.  This way an env can be passed or not.  Makes the\nfunction a little more generic","distinct":true,"url":"https://api.github.com/repos/chendaniely/multi-agent-neural-network/commits/4ff9c0bc24468fdb9329954bd66c0f589d0266f8"},{"sha":"a0b0bc97ed5c36747fcc8e5ece7576603daf4cc6","author":{"email":"f1bb3d789efcff2c80cee3fe0e208088b2b40a5d@yahoo.com","name":"Daniel Chen"},"message":"base agent class has a function to pick a random predecessor ID","distinct":true,"url":"https://api.github.com/repos/chendaniely/multi-agent-neural-network/commits/a0b0bc97ed5c36747fcc8e5ece7576603daf4cc6"},{"sha":"bd5c21f628d9cbdc9055f268e2ffd180c076941d","author":{"email":"f1bb3d789efcff2c80cee3fe0e208088b2b40a5d@yahoo.com","name":"Daniel Chen"},"message":"network creates different agent depending on new addition to agent_type param\n\nnew agent_type param passes in the agent_type (binary or lens), the\nnumber of unites in the lens agent, and finally, whether it is a\nfeed_forward_global_casade, or recurrent_attitude\n\nalso imports mann as mann, this might be a simplier syntax for future\ncleanups #92","distinct":true,"url":"https://api.github.com/repos/chendaniely/multi-agent-neural-network/commits/bd5c21f628d9cbdc9055f268e2ffd180c076941d"},{"sha":"d1c5278aa453393ad008fd41d07c516ec47d4782","author":{"email":"f1bb3d789efcff2c80cee3fe0e208088b2b40a5d@yahoo.com","name":"Daniel Chen"},"message":"get the agent key is no longer a getter method, follows parameter syntax\n\nfrom all_agents[new_agent.get_key()] = new_agent to\nall_agents[new_agent.agent_id] = new_agent","distinct":true,"url":"https://api.github.com/repos/chendaniely/multi-agent-neural-network/commits/d1c5278aa453393ad008fd41d07c516ec47d4782"},{"sha":"6a3b59d883319cccf2cf0df2f09d8b1efb248994","author":{"email":"f1bb3d789efcff2c80cee3fe0e208088b2b40a5d@yahoo.com","name":"Daniel Chen"},"message":"unittest test_lens_writer .in str creating to be written to file\n\n- test_generate_lens_recurrent_attitude\n\n- 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