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@ -693,7 +693,7 @@ def handle_solution_set(hk_data: bytes, pw: PrintWrapper):
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current_idx = 0
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fmt_len = struct.calcsize(ticks_time_fmt)
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(ticks, unix_time) = struct.unpack(
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ticks_time_fmt, hk_data[current_idx: current_idx + fmt_len]
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ticks_time_fmt, hk_data[current_idx : current_idx + fmt_len]
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)
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unix_as_dt = datetime.datetime.fromtimestamp(unix_time, tz=datetime.timezone.utc)
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pw.dlog(f"Ticks: {ticks} | UNIX time: {unix_time}")
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@ -702,7 +702,7 @@ def handle_solution_set(hk_data: bytes, pw: PrintWrapper):
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calib_quaternions_fmt = "!ffff"
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fmt_len = struct.calcsize(calib_quaternions_fmt)
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(calib_q_w, calib_q_x, calib_q_y, calib_q_z) = struct.unpack(
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calib_quaternions_fmt, hk_data[current_idx: current_idx + fmt_len]
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calib_quaternions_fmt, hk_data[current_idx : current_idx + fmt_len]
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)
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pw.dlog("Calibrated Quaternions")
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pw.dlog(f"Quaternion w: {calib_q_w}")
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@ -713,7 +713,7 @@ def handle_solution_set(hk_data: bytes, pw: PrintWrapper):
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track_fmt = "!fffff"
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fmt_len = struct.calcsize(track_fmt)
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(track_confidence, track_q_w, track_q_x, track_q_y, track_q_z) = struct.unpack(
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track_fmt, hk_data[current_idx: current_idx + fmt_len]
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track_fmt, hk_data[current_idx : current_idx + fmt_len]
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)
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pw.dlog(f"Track Confidence: {track_confidence}")
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pw.dlog(f"Track QW: {track_q_w}")
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@ -733,20 +733,27 @@ def handle_solution_set(hk_data: bytes, pw: PrintWrapper):
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# Result of LISA: Lost in space algorithm
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lisa_fmt = "!fffffB"
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fmt_len = struct.calcsize(track_fmt)
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(lisa_q_w, lisa_q_x, lisa_q_y, lisa_q_z, lisa_percentage_close_stars, lisa_number_close_stars) = struct.unpack(
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lisa_fmt, hk_data[current_idx: current_idx + fmt_len]
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)
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(
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lisa_q_w,
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lisa_q_x,
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lisa_q_y,
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lisa_q_z,
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lisa_percentage_close_stars,
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lisa_number_close_stars,
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) = struct.unpack(lisa_fmt, hk_data[current_idx : current_idx + fmt_len])
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pw.dlog(f"LISA QW: {lisa_q_w}")
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pw.dlog(f"LISA QX: {lisa_q_x}")
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pw.dlog(f"LISA QY: {lisa_q_y}")
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pw.dlog(f"LISA QZ: {lisa_q_z}")
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pw.dlog(f"Percentage of close stars in LISA solution: {lisa_percentage_close_stars}")
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pw.dlog(
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f"Percentage of close stars in LISA solution: {lisa_percentage_close_stars}"
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)
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pw.dlog(f"Number of close stars in LISA solution: {lisa_number_close_stars}")
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current_idx += fmt_len
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is_trusworthy = hk_data[current_idx]
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pw.dlog(f"Trustworthy solution: {is_trusworthy}")
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current_idx += 1
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stable_count = struct.unpack("!I", hk_data[current_idx: current_idx + 4])
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stable_count = struct.unpack("!I", hk_data[current_idx : current_idx + 4])
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pw.dlog(f"Stable count: {stable_count}")
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current_idx += 4
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solution_strategy = hk_data[current_idx]
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