data:image/png;base64,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snJydvnB/6ay3o8780Tik9EUI4DSF0165de+7WrVufzlrK4QgQIECAwAACh4eHb6WUjmKM3wghvHv16tXnb9++/eHFT1/6D3Gc/6Xx2dnZI4vF4i+LxeIXx8fH3QD78wkCBAgQIDAbgevXrz955cqVV85LzTHG33Rd99PLDrjRv4S1+i99xBg/CSG8vVwub85GzkEIECBAgMAWAnd//W5K6ZnFYvFwSunPIYSfbfrrdzcK4NU9KW1tMSGvECBAgMBsBB5Uqup7wN4BfL6A0lZfas8TIECAQM0C60pVfc+2dQCfL6S01Zfc8wQIECBQk8C9UtX3YowPXVaq6numnQN4dUGlrb78nidAgACBEgW2KVX1PcegAXy+uNJW3zF4ngABAgRKENilVNV3/6ME8OomlLb6jsTzBAgQIDClwFClqr57Hj2AzzektNV3NJ4nQIAAgTEFhi5V9d3rZAF8vjGlrb4j8jwBAgQIDClwcHDw2xDCjaFLVX33OHkAr25QaavvuDxPgAABAtsITFGq6ruvrAF8vlmlrb5j8zwBAgQIbCIwZalqk/2sPlNEAK9uSGmr7wg9T4AAAQKrArlKVX2nUFwAnx9AaavvKD1PgACBtgVyl6r66hcbwOcHUdrqO1LPEyBAoCmBxcHBwVsllKr6qhcfwKsHUtrqO17PEyBAYJ4CF0tVIYQ3T05OXq7ptFUF8DnsamkrhPBJjNGvR6zp1tkrAQIEthS4W6qKMT4TQuj96/+2XHK016oM4FUNpa3R7oYPEyBAoAiBWkpVfbGqD+DzAytt9R295wkQIFC2QG2lqr6aswng84MrbfW9Ap4nQIBAUQLVlqr6Ks4ugFcBlLb6XgfPEyBAII/AHEpVfeVmHcDnGEpbfa+F5wkQIDCNwJxKVX3FmgjgVRSlrb5XxPMECBAYVuBiqWqxWLyzXC6fHXaV8r/WXACfj0Rpq/zLaYcECMxLYO6lqr7TajaAz6GUtvpeGc8TIECgl0AzpapeKiGE5gN4FUxpq+/18TwBAgTuL9BiqarvXRDA9xG7WNo6Ozv73Z07d17si+t5AgQItCbQcqmq76wF8Boxpa2+V8rzBAi0JqBUtd3EBfCGbkpbG0J5jACBZgTulap+EkL4Zgjhg5TSqycnJ280A7DjQQVwT0ClrZ5gHidAYG4CX5aqQggPxRjfvXr16vO3b9/+cG4HHfs8AngHYaWtHfC8SoBAVQJHR0dPnp6evhJCeDyl9HGNv/6vNHABPMBElLYGQPQJAgSKFFCqGm8sAnhgW6WtgUF9jgCByQWUqqYhF8AjOSttjQTrswQIjCZw48aNH52dnf1YqWo04q98WACP7Ky0NTKwzxMgsKuAUtWuglu+L4C3hNvmNaWtbdS8Q4DAGAJKVWOo9vumAO7nNcjTSluDMPoIAQJbCChVbYE20isCeCTYTT+rtLWplOcIENhWQKlqW7lx3xPA4/pu/HWlrY2pPEiAwIYCSlUbQmV6TABngn/QskpbhQ3EdgjUJ/C1UtVisXjh+Pj4r/UdZd47FsAFz1dpq+Dh2BqBwgSUqgobyAbbEcAbIOV+RGkr9wSsT6BcAaWqcmezbmcCeJ1QYX+utFXYQGyHQAYBpaoM6CMsKYBHQJ3ik0pbUyhbg0BZAkpVZc1j190I4F0FM7+vtJV5AJYnML6AUtX4xllWEMBZ2MdZVGlrHFdfJZBDQKkqh/q0awrgab0nWU1paxJmixAYRUCpahTWIj8qgIscy3CbUtoaztKXCIwloFQ1lmzZ3xXAZc9nsN0pbQ1G6UMEBhNQqhqMssoPCeAqx7b9ppW2trfzJoGBBJSqBoKs/TMCuPYJ7rB/pa0d8LxKoKeAUlVPsAYeF8ANDHndEZW21gn5cwLbCyhVbW839zcF8Nwn3PN8q6WtEMJ7IYSbXde93/MzHifQtIBSVdPj3/jwAnhjqrYeVNpqa95OO4yAUtUwjq18RQC3Muktz3le2ooxPnF2dnYaQuiuXbv23K1btz7d8pNeIzA3AaWquU10ovMI4Img57DMamkrxvj+3t7ez4+Pj7s5nM0ZCPQVUKrqK+b5iwIC2J3oLaC01ZvMCzMSUKqa0TAzH0UAZx5A7csrbdU+QfvfRECpahMlz/QVEMB9xTx/XwGlLRdjjgJKVXOcajlnEsDlzGIWO1HamsUYWz+EUlXrN2Ci8wvgiaBbXEZpq8Wp13tmpap6Z1frzgVwrZOraN9KWxUNq8GtKlU1OPRCjiyACxlEK9tQ2mpl0mWfU6mq7Pm0sjsB3MqkCzvn/v7+MzHGF0MIj8UYP0opvd513WuFbdN2ZiagVDWzgVZ+HAFc+QBr377SVu0TrGL/SlVVjKm9TQrg9mZe7ImVtoodTZUbU6qqcmxNbVoANzXuOg6rtFXHnErdpVJVqZOxr4sCAtidKFpAaavo8RSzuaeeeupbe3t7r4YQvp1S+myxWLyzXC6fLWaDNkLgPgIC2LWoQkBpq4oxTb5JparJyS04oIAAHhDTp8YXUNoa37iCFZSqKhiSLa4XEMDrjTxRqMB5aSul9EgIwa9HLHROQ21LqWooSd8pRUAAlzIJ+9haQGlra7oqXlSqqmJMNrmFgADeAs0r5QoobZU7mz47U6rqo+XZWgUEcK2Ts+9LBZS26rwgSlV1zs2utxMQwNu5easSAaWtKgalVFXFmGxyaAEBPLSo7xUroLRV1miUqsqah91MLyCApze3YmYBpa28A1Cqyutv9XIEBHA5s7CTDAJKW9OgK1VN42yVugQEcF3zstuRBJS2xoFVqhrH1VfnISCA5zFHpxhIQGlrEEilqkEYfWTuAgJ47hN2vq0FLpa2Yoy/XC6Xv9/6gzN/Ualq5gN2vMEFBPDgpD44NwGlrcsnqlQ1txvvPFMJCOCppK0zCwGlrS/GqFQ1i+vsEJkFBHDmAVi+ToHDw8Pvp5ReCiE8FmP8KKX0etd1r9V5ms13rVS1uZUnCawTEMDrhPw5gUsEGiltKVX5KSAwgoAAHgHVJ9sUmFtpS6mqzXvs1NMJCODprK3UiEDtpa3VUlUI4U8ppVe6rvtjI+NzTAKTCQjgyagt1KJALaUtpaoWb6cz5xYQwLknYP0mBO6WtkIIL6WUiiptKVU1cf0cslABAVzoYGxrngKFlLaUquZ5vZyqMgEBXNnAbHc+AlOXtpSq5nN3nGQeAgJ4HnN0iooFxi5t7e/v/2qxWPwghPCwUlXFF8XWZycggGc3UgeqWWCo0pZSVc23wN5bERDArUzaOasS2La0pVRV1ZhttnEBAdz4BXD8sgU2LG0pVZU9RrsjcF8BAexiEKhE4GJpa29v7w+np6f/FEJ4PKX0cQjhzZOTk5crOY5tEmheQAA3fwUA1CawUtp6NMb4oX+pqrYJ2i+BLwQEsJtAgAABAgQyCAjgDOiWJECAAAECAtgdIECAAAECGQQEcAZ0SxIgQIAAAQHsDhAgQIAAgQwCAjgDuiUJECBAgIAAdgcIECBAgEAGAQGcAd2SBAgQIEBAALsDBAgQIEAgg4AAzoBuSQIECBAgIIDdAQIECBAgkEFAAGdAtyQBAgQIEBDA7gABAgQIEMggIIAzoFuSAAECBAgIYHeAAAECBAhkEBDAGdAtSYAAAQIEBLA7QIAAAQIEMggI4AzoliRAgAABAgLYHSBAgAABAhkEBHAGdEsSIECAAAEB7A4QIECAAIEMAgI4A7olCRAgQICAAHYHCBAgQIBABgEBnAHdkgQIECBAQAC7AwQIECBAIIOAAM6AbkkCBAgQICCA3QECBAgQIJBBQABnQLckAQIECBAQwO4AAQIECBDIICCAM6BbkgABAgQICGB3gAABAgQIZBAQwBnQLUmAAAECBASwO0CAAAECBDIICOAM6JYkQIAAAQIC2B0gQIAAAQIZBARwBnRLEiBAgAABAewOECBAgACBDAICOAO6JQkQIECAgAB2BwgQIECAQAYBAZwB3ZIECBAgQEAAuwMECBAgQCCDgADOgG5JAgQIECAggN0BAgQIECCQQUAAZ0C3JAECBAgQEMDuAAECBAgQyCAggDOgW5IAAQIECAhgd4AAAQIECGQQEMAZ0C1JgAABAgQEsDtAgAABAgQyCAjgDOiWJECAAAECAtgdIECAAAECGQQEcAZ0SxIgQIAAAQHsDhAgQIAAgQwCAjgDuiUJECBAgIAAdgcIECBAgEAGAQGcAd2SBAgQIEBAALsDBAgQIEAgg4AAzoBuSQIECBAgIIDdAQIECBAgkEFAAGdAtyQBAgQIEBDA7gABAgQIEMggIIAzoFuSAAECBAgIYHeAAAECBAhkEBDAGdAtSYAAAQIEBLA7QIAAAQIEMggI4AzoliRAgAABAgLYHSBAgAABAhkEBHAGdEsSIECAAAEB7A4QIECAAIEMAgI4A7olCRAgQICAAHYHCBAgQIBABgEBnAHdkgQIECBAQAC7AwQIECBAIIOAAM6AbkkCBAgQICCA3QECBAgQIJBBQABnQLckAQIECBAQwO4AAQIECBDIICCAM6BbkgABAgQICGB3gAABAgQIZBAQwBnQLUmAAAECBP4PCfx3na5neUAAAAAASUVORK5CYII=The list of numbers is confusing because it is not obvious which numbers are x and which are y coordinates. It will also be difficult to maintain (add or delete coordinates to the lists). It would be better to create a matrix (a list of list). Each item in the list will be a list of x and y coordinates.Abstract Data Types (ADT) is a custom data type created by the programmer to provide meaning to the data in your program. It is not built into the programming language. ADT are created with custom constructor and selector functions (blocks). ADT are a form of abstraction because they make are program easier to understand, read, and debug.Lists and Numbers are examples of Primitive Data TypesStep 1: Create A Reporter block (the constructor) that will take two numbers as the domain (x and y coordinates) and output a list as the range.Step 2: Create two report blocks (the selectors) that will take the list created by the contructor block as the domain and output a single number as the range (one the x coordinate the second block the y coordinate).Step 4: Create a Draw Shape Command Block whose domain will be the list of Coordinate Points create in step 3. The command block will draw the shape on the screen by using a the for each item block and the selector blocks created in Step 2.Step 3: Create a list that stores the necessary Coordinte Points to draw your specified shape 0,240100,00,-240-100,00,240