code: def test_conclude_assumption():
      assert _expression.conclude_assumptions([1, 2, 3]) == {
          "real": True,
          "integer": True,
          "positive": True,
          "nonnegative": True,
          "nonzero": True,
      }
      assert _expression.conclude_assumptions([0, 0, 0]) == {
          "real": True,
          "integer": True,
          "zero": True,
          "even": True,
          "nonnegative": True,
          "nonpositive": True,
      }
      assert _expression.conclude_assumptions([-1, -2, -3]) == {
          "real": True,
          "integer": True,
          "negative": True,
          "nonpositive": True,
          "nonzero": True,
      }
      assert _expression.conclude_assumptions([1, 3, 5, -1]) == {
          "real": True,
          "integer": True,
          "odd": True,
          "nonzero": True,
      }
      assert _expression.conclude_assumptions([2, 4, 6, -2, 0]) == {
          "real": True,
          "integer": True,
          "even": True,
      }
      assert _expression.conclude_assumptions([1.0, 2.0, 3.0]) == {
          "integer": False,
          "real": True,
          "nonnegative": True,
          "nonzero": True,
          "positive": True,
      }
      assert _expression.conclude_assumptions([1.0, 2, 3]) == {
          "integer": False,
          "real": True,
          "nonnegative": True,
          "nonzero": True,
          "positive": True,
      }
      assert _expression.conclude_assumptions([1.0, 2.0, 3]) == {
          "integer": False,
          "real": True,
          "nonnegative": True,
          "nonzero": True,
          "positive": True,
      }
      assert _expression.conclude_assumptions([1, 2.0, 3]) == {
          "integer": False,
          "real": True,
          "nonnegative": True,
          "nonzero": True,
          "positive": True,
      }
      assert _expression.conclude_assumptions(["cat", "dog"]) == {
          "real": False
      }
  
file_path: nni/test/ut/nas/profiler/test_utils.py
imports: import torch
  from torch import nn
  import nni
  import nni.nas.nn.pytorch
  from nni.mutable import Categorical, frozen_context
  from nni.mutable.mutable import _mutable_equal
  from nni.nas.profiler.pytorch.utils import _attrs, is_leaf_module, _expression
label_desc: Use image node_id 4 for calling a global function with example usage: test_conclude_assumption() without return types