build_image_layers.sh Error on common 9/18

I am trying to run the sudo ./build_image_layers.sh -i aarch command and I keep receiving this error on common 9/18:

`ERROR [common 9/18] RUN python3 -m pip install -U argcompl 181.7s
179.4 Failed to build mapbox_earcut
179.4 ERROR: Could not build wheels for mapbox_earcut, which is required to install pyproject.toml-based projects

1 warning found (use docker --debug to expand):

• UndefinedVar: Usage of undefined variable '$CMAKE_PREFIX_PATH' (line 267)
  Dockerfile.aarch64:150

149 | # Python3 (PIP)
150 | >>> RUN python3 -m pip install -U
151 | >>> argcomplete
152 | >>> autopep8
153 | >>> Cython
154 | >>> flake8
155 | >>> flake8-blind-except
156 | >>> flake8-builtins
157 | >>> flake8-class-newline
158 | >>> flake8-comprehensions
159 | >>> flake8-deprecated
160 | >>> flake8-docstrings
161 | >>> flake8-import-order
162 | >>> flake8-quotes
163 | >>> gpustat==0.6.0
164 | >>> importlib_resources
165 | >>> networkx
166 | >>> ninja
167 | >>> "numpy>=1.24.4,<2"
168 | >>> numpy-quaternion
169 | >>> onnx
170 | >>> pydocstyle
171 | >>> pymongo
172 | >>> pyyaml
173 | >>> "scipy>=1.7.0"
174 | >>> scikit-image
175 | >>> scikit-learn
176 | >>> "setuptools_scm>=6.2"
177 | >>> tqdm
178 | >>> trimesh
179 | >>> "warp-lang>=0.9.0"
180 | >>> wheel
181 | >>> "yourdfpy>=0.0.53"
182 |

ERROR: failed to solve: process "/bin/bash -c python3 -m pip install -U argcomplete autopep8 Cython flake8 flake8-blind-except flake8-builtins flake8-class-newline flake8-comprehensions flake8-deprecated flake8-docstrings flake8-import-order flake8-quotes gpustat==0.6.0 importlib_resources networkx ninja "numpy>=1.24.4,<2" numpy-quaternion onnx pydocstyle pymongo pyyaml "scipy>=1.7.0" scikit-image scikit-learn "setuptools_scm>=6.2" tqdm trimesh "warp-lang>=0.9.0" wheel "yourdfpy>=0.0.53"" did not complete successfully: exit code: 1`

I am running on a Jetson Orin Nano Jetpack 6.1. Does anyone know a solution to this?

Start with build_image_layers.sh and the sudo ./build_image_layers.sh -i aarch command, then inspect Dockerfile.aarch64 around line 150. Reproduce the Jetson Orin Nano Jetpack 6.1 failure and investigate the mapbox_earcut build error during the listed Python package installation. Done means the image layers build successfully without that pip failure.