input: 
  def create_environment_object(code_content: str, path: str, subexpressions: bool) -> bool:
      """ Create an environment object capable of executing and analyzing Python code. The environment should include predefined global variables and functions, and allow for additional globals to be added. The environment should execute the given Python code, analyze it for variable usage and imports, and capture and display output using a stdout object.
      >>> create_environment_object("print('Hello, World!')", "/path/to/code", False)
      True
      >>> create_environment_object("from math import pi; print(pi)", "/path/to/code", True)
      True
      """
  
output:     import ast
      import sys
      import io
  
      class CodeEnvironment:
          def __init__(self):
              self.globals = {}
              self.stdout = io.StringIO()
  
          def add_globals(self, **kwargs):
              self.globals.update(kwargs)
  
          def execute(self, code):
              old_stdout = sys.stdout
              sys.stdout = self.stdout
              try:
                  exec(code, self.globals)
              finally:
                  sys.stdout = old_stdout
  
          def analyze(self, code):
              tree = ast.parse(code)
              for node in ast.walk(tree):
                  if isinstance(node, ast.Import):
                      for alias in node.names:
                          self.add_globals(**{alias.name: __import__(alias.name)})
                  elif isinstance(node, ast.ImportFrom):
                      module = node.module
                      for alias in node.names:
                          self.add_globals(**{alias.name: getattr(__import__(module, fromlist=[alias.name]), alias.name)})
  
      env = CodeEnvironment()
      env.analyze(code_content)
      env.execute(code_content)
  
      if subexpressions:
          env.analyze(code_content)
  
      return True