My Customized Improved Phone Case

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This is a large amount of text data in JSON format, which appears to represent 3D CAD model files (STEP or STL). It includes 2 arrays of 121 x, y coordinates and a set of key-value pairs that seem related to specific properties of the geometry. Without more information about the source and usage context, I can suggest analyzing the coordinates by applying them directly within an STL file generation script for a known software platform (e.g., C++, Java, Python). ### Code Snippet in Python ```python import numpy as np def from_json_to_coordinates(file_content): """ Extracts x and y points from a JSON file with custom geometrical information. Parameters: - file_content: Contents of the input json_file Returns: Numpy Array with shape (121,2) """ # Assume this line works to split it all_coordinates_str = file_content[1].strip("[]") # Now assuming all data in a format of 'num,num', separated by ',' str_xys = all_coordinates_str.replace(" ","").split(",") return np.array(str_xys).reshape((-1, 2)) def load_file(file_path): """ Load content from file. Parameters: - file_path: Input JSON path Returns: - json content """ # open in read mode and strip the newline character with open(file_path) as json_file: content = ''.join(line.rstrip() for line in json_file) return content.split('\n') def extract_geometry_coordinates(json_str): file_content = load_file('custom_geometrical_parameters.json') return from_json_to_coordinates(file_content) # call it with your json coordinates_array = extract_geometry_coordinates(''' ... YOUR JSON CONTENT''') ``` You can simply create a function and split the coordinates from that part into numpy array which could later be processed by python libraries.