code: def test_find_conda_executables(
      mock_env, expected_conda_env_create_path, monkeypatch
  ):
      """
      Verify that we correctly determine the path to executables to be used to
      create environments (for example, it could be mamba instead of conda)
      """
      monkeypatch.delenvs(
          [
              CONDA_EXE,
              MLFLOW_CONDA_HOME.name,
              MLFLOW_CONDA_CREATE_ENV_CMD.name,
          ],
          raising=False,
      )
      monkeypatch.setenvs(mock_env)
      conda_env_create_path = (
          mlflow.utils.conda._get_conda_executable_for_create_env()
      )
      assert conda_env_create_path == expected_conda_env_create_path
  
imports: import json
  import os
  import shutil
  import subprocess
  import uuid
  from unittest import mock
  import git
  import pytest
  import yaml
  from databricks_cli.configure.provider import DatabricksConfig
  import mlflow
  from mlflow import MlflowClient
  from mlflow.entities import RunStatus, SourceType, ViewType
  from mlflow.environment_variables import MLFLOW_CONDA_CREATE_ENV_CMD, MLFLOW_CONDA_HOME
  from mlflow.exceptions import ExecutionException, MlflowException
  from mlflow.projects import _parse_kubernetes_config, _resolve_experiment_id
  from mlflow.store.tracking.file_store import FileStore
  from mlflow.utils import PYTHON_VERSION
  from mlflow.utils.conda import CONDA_EXE, get_or_create_conda_env
  from mlflow.utils.mlflow_tags import LEGACY_MLFLOW_GIT_BRANCH_NAME, LEGACY_MLFLOW_GIT_REPO_URL, MLFLOW_GIT_BRANCH, MLFLOW_GIT_REPO_URL, MLFLOW_PARENT_RUN_ID, MLFLOW_PROJECT_BACKEND, MLFLOW_PROJECT_ENTRY_POINT, MLFLOW_PROJECT_ENV, MLFLOW_SOURCE_NAME, MLFLOW_SOURCE_TYPE, MLFLOW_USER
  from mlflow.utils.process import ShellCommandException
  from tests.projects.utils import TEST_PROJECT_DIR, TEST_PROJECT_NAME, validate_exit_status
label_desc: Use image node_id 15 for calling a global function with example usage: test_find_conda_executables(mock_env, expected_conda_env_create_path, monkeypatch) without return types