64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
import numpy as np
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from config import *
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import tard_wrangler
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def get_data():
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r = []
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INPUT_FILE = "data/xop.c"
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def get_source(path : str) -> [str]:
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'''returns source file 3 line batches'''
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r = []
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with open(path, 'r') as file: lines = [line[:-1] for line in file]
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lines.insert(0, "")
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lines.append("")
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for i in range(len(lines)-2):
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r.append(lines[i:i+3])
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return r
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def source_to_np_array(source_batches : []) -> np.array:
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r = []
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for s in source_batches:
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ascii_list = []
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for l in s:
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l = l[:LINE_WIDTH]
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l = l.ljust(LINE_WIDTH)
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l = [ord(i) for i in l]
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ascii_list += l
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n = np.reshape(ascii_list, (3, -1, 1))
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r.append(n)
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r = np.array(r)
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return r
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def get_whitespace(path : str) -> [int]:
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'''XXX returns the whitespace list of every middle line'''
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r = []
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output = "muf_file.txt"
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tard_wrangler.accumulate(INPUT_FILE, output)
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with open(output, 'r') as file:
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for line in file:
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try:
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l = eval(line)
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l = l + [0] * (MAX_SHIMS - len(l))
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r.append(l)
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except: pass
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return r
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def whitespace_to_np_array(spaces : []) -> np.array:
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r = spaces
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r = np.array(r).reshape(len(spaces), -1)
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return r
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source = source_to_np_array(get_source(INPUT_FILE))
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whitespace = whitespace_to_np_array(get_whitespace(INPUT_FILE))
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r = {'in': source, 'out': whitespace}
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assert len(r['in']) == len(r['out']), (
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"data in and out sizes were inconsistent ("
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+ str(r['in'].shape)
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+ " "
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+ str(r['out'].shape)
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+ "."
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)
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return r
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if __name__ == "__main__":
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dataset = get_data()
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print(dataset)
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print(dataset['in'].shape, dataset['out'].shape)
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