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simpleai | simple artificial intelligence utilities | Artificial Intelligence library

 by   simpleai-team Python Version: Current License: MIT

 by   simpleai-team Python Version: Current License: MIT

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kandi X-RAY | simpleai Summary

simpleai is a Python library typically used in Artificial Intelligence applications. simpleai has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install simpleai' or download it from GitHub, PyPI.
simple artificial intelligence utilities
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Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • simpleai has a medium active ecosystem.
  • It has 899 star(s) with 230 fork(s). There are 109 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 13 open issues and 11 have been closed. On average issues are closed in 225 days. There are 4 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of simpleai is current.
simpleai Support
Best in #Artificial Intelligence
Average in #Artificial Intelligence
simpleai Support
Best in #Artificial Intelligence
Average in #Artificial Intelligence

quality kandi Quality

  • simpleai has 0 bugs and 0 code smells.
simpleai Quality
Best in #Artificial Intelligence
Average in #Artificial Intelligence
simpleai Quality
Best in #Artificial Intelligence
Average in #Artificial Intelligence

securitySecurity

  • simpleai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • simpleai code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
simpleai Security
Best in #Artificial Intelligence
Average in #Artificial Intelligence
simpleai Security
Best in #Artificial Intelligence
Average in #Artificial Intelligence

license License

  • simpleai is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
simpleai License
Best in #Artificial Intelligence
Average in #Artificial Intelligence
simpleai License
Best in #Artificial Intelligence
Average in #Artificial Intelligence

buildReuse

  • simpleai releases are not available. You will need to build from source code and install.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
simpleai Reuse
Best in #Artificial Intelligence
Average in #Artificial Intelligence
simpleai Reuse
Best in #Artificial Intelligence
Average in #Artificial Intelligence
Top functions reviewed by kandi - BETA

kandi has reviewed simpleai and discovered the below as its top functions. This is intended to give you an instant insight into simpleai implemented functionality, and help decide if they suit your requirements.

  • Start the web server
    • Train the decision tree
      • Return a new set of new NetInformationGain
      • Creates a DecisionTreeNode for the given dataset
      • Set results from a list of counts
    • Calculate the minimum conflicts of the problem
      • Find conflicts on a given assignment
      • Return number of conflicts with given assignment
      • Call constraint on assignment
    • Convert variables to binary form
      • Backtracking
        • Return a string representation of the tree
          • Try to classify the given example
            • Returns a list of mknary constraints
              • Create constraints
                • Execute the program
                  • Learn the model
                    • Generate HTML report
                      • Computes the precision of the given classifier
                        • Perform a random expansion on the fringe
                          • Event handler
                            • Returns a list of all the actions in the string
                              • Parse a Sudoku puzzle
                                • Calculate heuristic distance
                                  • Perform an astar search
                                    • Called when there are no more than one of the runs

                                      Get all kandi verified functions for this library.

                                      Get all kandi verified functions for this library.

                                      simpleai Key Features

                                      simple artificial intelligence utilities

                                      Community Discussions

                                      Trending Discussions on simpleai
                                      • TypeError: 'dict' object is not callable fix in python card game
                                      Trending Discussions on simpleai

                                      QUESTION

                                      TypeError: 'dict' object is not callable fix in python card game

                                      Asked 2021-Jan-21 at 13:33

                                      TypeError: 'dict' object is not callable

                                      Currently debugging a card game for a project and can't figure out how to fix this error. Any help would be appreciated!

                                       player_info = UI.get_player_information(MAX_PLAYERS)
                                       self.players = [player_classes(name) for name, typ in player_info]
                                      

                                      Code for reference :

                                      player_classes = {
                                      'human': Player,
                                      'simple': SmartAI,
                                      'smart': SimpleAI,
                                      }
                                      
                                      
                                      def get_player_information(max_players):
                                          """get required information to set up a round"""
                                      
                                          # create players list
                                          player_info = []
                                          # how many human players?
                                          print("\nHow many human players [1-4]:")
                                          no_of_players = get_int_input(1, max_players)
                                      
                                          # for each player, get name
                                          for i in range(no_of_players):
                                              print(f"Please enter the name of player {i+1}:")
                                              player_info.append(('human', get_string_input()))
                                      
                                          ai_names = ['Angela', 'Bart', 'Charly', 'Dorothy']
                                      
                                          # how many AI players? ensure there are at least 2 players
                                          min_val = 1 if (len(player_info) == 0) else 0
                                          max_val = max_players - no_of_players
                                          print(f"\nHow many ai players [{min_val:d}-{max_val:d}]:")
                                          no_of_players = get_int_input(min_val, max_val)
                                      
                                          # randomly assign a simple or smart AI for each computer strategy
                                          for name in ai_names[:no_of_players]:
                                              if [True, False]:
                                                  player_info.append(('simple', name))
                                              else:
                                                  player_info.append(('smart', f"Smart {name}"))
                                      
                                          return player_info
                                      

                                      ANSWER

                                      Answered 2021-Jan-21 at 13:33

                                      You are trying to use player_classes as a Callable when the object is fact a dict, so you should access its elements by using the notation dict[key].

                                      You need to change your list comprehension to

                                      self.players = [player_classes[player_type] for player_type, _ in player_info]
                                      

                                      Note that you're creating your tuples with type as their first element and name as the second one.

                                      Edit: forgot to change the variable name to something else (type is a Python function).

                                      Source https://stackoverflow.com/questions/65828304

                                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                                      Vulnerabilities

                                      No vulnerabilities reported

                                      Install simpleai

                                      You can install using 'pip install simpleai' or download it from GitHub, PyPI.
                                      You can use simpleai like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

                                      Support

                                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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