Measure performance of Python virtual environment setup

Author: JohT

scripts/executeJupyterNotebook.sh

@@ -92,8 +92,8 @@ fi
 # For Conda, the environment name is taken from the environment variable CODEGRAPH_CONDA_ENVIRONMENT (default "codegraph")
 # and the dependencies are listed in the root directory file "conda-environment.yml".
 # For venv, the dependencies are listed in the root directory file "requirements.txt".
-source "${SCRIPTS_DIR}/activateCondaEnvironment.sh"
-source "${SCRIPTS_DIR}/activatePythonEnvironment.sh"
+time source "${SCRIPTS_DIR}/activateCondaEnvironment.sh"
+time source "${SCRIPTS_DIR}/activatePythonEnvironment.sh"
 
 jupyter --version || exit 1
 

scripts/reports/compilations/PythonReports.sh

@@ -33,8 +33,8 @@ echo "PythonReports: DOMAINS_DIRECTORY=${DOMAINS_DIRECTORY}"
 # For Conda, the environment name is taken from the environment variable CODEGRAPH_CONDA_ENVIRONMENT (default "codegraph")
 # and the dependencies are listed in the root directory file "conda-environment.yml".
 # For venv, the dependencies are listed in the root directory file "requirements.txt".
-source "${SCRIPTS_DIR}/activateCondaEnvironment.sh"
-source "${SCRIPTS_DIR}/activatePythonEnvironment.sh"
+time source "${SCRIPTS_DIR}/activateCondaEnvironment.sh"
+time source "${SCRIPTS_DIR}/activatePythonEnvironment.sh"
 
 # Run all Python report scripts (filename ending with Csv.sh) in the REPORTS_SCRIPT_DIR and DOMAINS_DIRECTORY directories.
 for directory in "${REPORTS_SCRIPT_DIR}" "${DOMAINS_DIRECTORY}"; do