original_docstring:  Infers the connectors in a Tasklet using its code and type inference. 
docstring: Infers the connectors in a Tasklet using its code and type inference.
docstring_tokens: Infers the connectors in a Tasklet using its code and type inference .
code: def infer_tasklet_connectors(sdfg: SDFG, state: SDFGState, node: Tasklet, inferred: TypeInferenceDict):
      """ Infers the connectors in a Tasklet using its code and type inference. """
  
      if node.code.language != dtypes.Language.Python:
          raise NotImplementedError('Tasklet inference for other languages than Python not supported')
  
      if any(inferred[(node, conn, True)].type is None for conn in node.in_connectors):
          raise TypeError('Cannot infer output connectors of tasklet "%s", '
                          'not all input connectors have types' % str(node))
  
      # Avoid import loop
      from dace.codegen.tools.type_inference import infer_types
  
      # Get symbols defined at beginning of node
      syms = state.symbols_defined_at(node)
  
      in_syms = {}
      for conn in node.in_connectors:
          if inferred[(node, conn, True)].type is not None:
              # Let the inferred dictionary win if it has some type information
              in_syms[conn] = inferred[(node, conn, True)]
          else:
              in_syms[conn] = node.in_connectors[conn]
  
      syms.update(in_syms)
  
      # Infer all types in tasklet
      new_syms = infer_types(node.code.code, syms)
  
      for cname in node.out_connectors:
          if inferred[(node, cname, False)].type is None:
              if cname not in new_syms:
                  raise TypeError('Cannot infer type of tasklet %s output '
                                  '"%s", please specify manually.' % (node.label, cname))
              inferred[(node, cname, False)] = new_syms[cname]
code_tokens: def infer_tasklet_connectors ( sdfg : SDFG , state : SDFGState , node : Tasklet , inferred : TypeInferenceDict ) : if node . code . language != dtypes . Language . Python : raise NotImplementedError ( 'Tasklet inference for other languages than Python not supported' ) if any ( inferred [ ( node , conn , True ) ] . type is None for conn in node . in_connectors ) : raise TypeError ( 'Cannot infer output connectors of tasklet "%s", ' 'not all input connectors have types' % str ( node ) ) from dace . codegen . tools . type_inference import infer_types syms = state . symbols_defined_at ( node ) in_syms = { } for conn in node . in_connectors : if inferred [ ( node , conn , True ) ] . type is not None : in_syms [ conn ] = inferred [ ( node , conn , True ) ] else : in_syms [ conn ] = node . in_connectors [ conn ] syms . update ( in_syms ) new_syms = infer_types ( node . code . code , syms ) for cname in node . out_connectors : if inferred [ ( node , cname , False ) ] . type is None : if cname not in new_syms : raise TypeError ( 'Cannot infer type of tasklet %s output ' '"%s", please specify manually.' % ( node . label , cname ) ) inferred [ ( node , cname , False ) ] = new_syms [ cname ]
short_docstring: Infers the connectors in a Tasklet using its code and type inference.
short_docstring_tokens: Infers the connectors in a Tasklet using its code and type inference .
comment: """ Infers the connectors in a Tasklet using its code and type inference. """$SEP$# Avoid import loop$SEP$# Get symbols defined at beginning of node$SEP$# Let the inferred dictionary win if it has some type information$SEP$# Infer all types in tasklet