mirror of
https://github.com/robmcmullen/atrcopy.git
synced 2024-06-11 13:29:33 +00:00
636 lines
22 KiB
Python
636 lines
22 KiB
Python
import bisect
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import numpy as np
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from errors import *
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from utils import to_numpy, to_numpy_list
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user_bit_mask = 0x07
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not_user_bit_mask = 0xff ^ user_bit_mask
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diff_bit_mask = 0x08
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match_bit_mask = 0x10
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comment_bit_mask = 0x20
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data_bit_mask = 0x40
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selected_bit_mask = 0x80
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class SegmentSaver(object):
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export_data_name = "Raw Data"
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export_extensions = [".dat"]
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@classmethod
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def encode_data(cls, segment):
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return segment.tostring()
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class OrderWrapper(object):
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"""Wrapper for numpy data so that manipulations can use normal numpy syntax
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and still affect the data according to the byte ordering.
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Numpy's fancy indexing can't be used for setting set values, so this
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intermediate layer is needed that defines the __setitem__ method that
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explicitly references the byte ordering in the data array.
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"""
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def __init__(self, data, byte_order):
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self.np_data = data
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self.base = data.base # base array for numpy bounds determination
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self.order = byte_order
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def __len__(self):
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return np.alen(self.order)
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def __and__(self, other):
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return self.np_data[self.order] & other
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def __iand__(self, other):
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self.np_data[self.order] &= other
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return self
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def __getitem__(self, index):
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return self.np_data[self.order[index]]
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def __setitem__(self, index, value):
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self.np_data[self.order[index]] = value
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def sub_index(self, index):
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"""Return index of index so it can be used directly in a new
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SegmentData object, rather than propagating multiple index lookups by
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contructing a new OrderWrapper that calls parent OrderWrapper objects.
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"""
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return self.order[index]
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class SegmentData(object):
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def __init__(self, data, style=None, comments=None, debug=False, order=None):
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"""Storage for raw data
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order is a list into the base array's data; each item in the list is an
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index of the base array. E.g. if the base array is the 20 element list
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containing the data [100, 101, ... 119] and the order is [10, 0, 5, 2],
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the segment data used is [110, 100, 105, 102]
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"""
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self.order = order
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self.is_indexed = order is not None
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if self.is_indexed:
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self.data = OrderWrapper(data, order)
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else:
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self.data = to_numpy(data)
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if style is None:
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if debug:
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self.style = np.arange(len(self), dtype=np.uint8)
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else:
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self.style = np.zeros(len(self), dtype=np.uint8)
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else:
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if self.is_indexed:
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self.style = OrderWrapper(style, order)
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else:
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self.style = style
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if comments is None:
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comments = dict()
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self.comments = comments
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self.reverse_index_mapping = None
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def __str__(self):
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return "SegmentData id=%x indexed=%s data=%s" % (id(self), self.is_indexed, type(self.data))
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def __len__(self):
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return len(self.data)
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def get_data(self):
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return self.data
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def get_style(self):
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return self.style
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def get_comments(self):
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return self.comments
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def byte_bounds_offset(self):
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"""Return start and end offsets of this segment's data into the
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base array's data.
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This ignores the byte order index. Arrays using the byte order index
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will have the entire base array's raw data.
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"""
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if self.data.base is None:
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if self.is_indexed:
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basearray = self.data.np_data
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else:
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basearray = self.data
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return 0, len(basearray)
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data_start, data_end = np.byte_bounds(self.data)
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base_start, base_end = np.byte_bounds(self.data.base)
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return int(data_start - base_start), int(data_end - base_start)
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def get_raw_index(self, i):
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"""Get index into base array's raw data, given the index into this
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segment
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"""
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if self.is_indexed:
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return int(self.order[i])
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if self.data.base is None:
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return int(i)
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data_start, data_end = np.byte_bounds(self.data)
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base_start, base_end = np.byte_bounds(self.data.base)
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return int(data_start - base_start + i)
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def get_indexes_from_base(self):
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"""Get array of indexes from the base array, as if this raw data were
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indexed.
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"""
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if self.is_indexed:
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return np.copy(self.order[i])
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if self.data.base is None:
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i = 0
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else:
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i = self.get_raw_index(0)
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return np.arange(i, i + len(self), dtype=np.uint32)
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def __getitem__(self, index):
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if self.is_indexed:
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order = self.data.sub_index(index)
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d = self.data.np_data
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s = self.style.np_data
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else:
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order = None
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d = self.data[index]
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s = self.style[index]
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c = self.comments
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return SegmentData(d, s, c, order=order)
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def get_bases(self):
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if self.data.base is None:
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data_base = self.data
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style_base = self.style
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else:
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data_base = self.data.base
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style_base = self.style.base
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return data_base, style_base
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def get_indexed(self, index):
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index = to_numpy_list(index)
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if self.is_indexed:
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return self[index]
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# check to make sure all indexes are valid, raises IndexError if not
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check = self.data[index]
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# index needs to be relative to the base array
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base_index = index + self.get_raw_index(0)
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data_base, style_base = self.get_bases()
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return SegmentData(data_base, style_base, self.comments, order=base_index)
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def get_reverse_index(self, base_index):
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"""Get index into this segment's data given the index into the base data
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Raises IndexError if the base index doesn't map to anything in this
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segment's data
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"""
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if not self.reverse_index_mapping:
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self.reverse_index_mapping = dict([(k,i) for i,k in enumerate(self.order)])
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try:
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return self.reverse_index_mapping[base_index]
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except KeyError:
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raise IndexError("index %d not mapped in this segment" % base_index)
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class DefaultSegment(object):
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savers = [SegmentSaver]
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def __init__(self, rawdata, start_addr=0, name="All", error=None, verbose_name=None):
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self.start_addr = int(start_addr) # force python int to decouple from possibly being a numpy datatype
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self.set_raw(rawdata)
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self.error = error
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self.name = name
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self.verbose_name = verbose_name
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self.page_size = -1
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self.map_width = 40
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def set_raw(self, rawdata):
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self.rawdata = rawdata
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self.data = rawdata.get_data()
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self.style = rawdata.get_style()
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self._search_copy = None
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def get_raw(self):
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return self.rawdata
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def __getstate__(self):
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state = dict()
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for key in ['start_addr', 'error', 'name', 'verbose_name', 'page_size', 'map_width']:
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state[key] = getattr(self, key)
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r = self.rawdata
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state['_rawdata_bounds'] = list(r.byte_bounds_offset())
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if r.is_indexed:
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state['_order_list'] = r.order.tolist() # more compact serialization in python list
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else:
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state['_order_list'] = None
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return state
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def reconstruct_raw(self, rawdata):
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start, end = self._rawdata_bounds
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r = rawdata[start:end]
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delattr(self, '_rawdata_bounds')
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try:
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if self._order_list:
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order = to_numpy_list(self._order_list)
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r = r.get_indexed(order)
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delattr(self, '_order_list')
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except AttributeError:
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pass
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self.set_raw(r)
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def get_parallel_raw_data(self, other):
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""" Get the raw data that is similar to the specified other segment
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"""
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start, end = other.byte_bounds_offset()
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r = self.rawdata[start:end]
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if other.rawdata.is_indexed:
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r = r.get_indexed[other.order]
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return r
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def __str__(self):
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s = "%s ($%x bytes)" % (self.name, len(self))
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if self.error:
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s += " " + self.error
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return s
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@property
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def verbose_info(self):
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name = self.verbose_name or self.name
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if self.rawdata.is_indexed:
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s = "%s ($%04x bytes) non-contiguous file; file index of first byte: $%04x" % (name, len(self), self.rawdata.order[0])
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else:
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s = "%s ($%04x bytes)" % (name, len(self))
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if self.error:
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s += " error='%s'" % self.error
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return s
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def __len__(self):
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return len(self.rawdata)
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def __getitem__(self, index):
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return self.data[index]
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def __setitem__(self, index, value):
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self.data[index] = value
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self._search_copy = None
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def byte_bounds_offset(self):
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"""Return start and end offsets of this segment's data into the
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base array's data
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"""
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return self.rawdata.byte_bounds_offset()
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def is_valid_index(self, i):
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return i >= 0 and i < len(self)
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def get_raw_index(self, i):
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"""Get index into base array's raw data, given the index into this
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segment
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"""
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return self.rawdata.get_raw_index(i)
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def get_index_from_base_index(self, base_index):
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"""Get index into this array's data given the index into the base array
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"""
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r = self.rawdata
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if r.is_indexed:
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index = r.get_reverse_index(base_index)
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else:
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index = base_index - r.get_raw_index(0)
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if not self.is_valid_index(index):
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raise IndexError("index %d not in this segment" % base_index)
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return index
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def tostring(self):
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return self.data.tostring()
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def get_style_bits(self, match=False, comment=False, selected=False, data=False, diff=False, user=0):
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""" Return an int value that contains the specified style bits set.
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Available styles for each byte are:
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match: part of the currently matched search
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comment: user commented area
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selected: selected region
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data: labeled in the disassembler as a data region (i.e. not disassembled)
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"""
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style_bits = 0
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if user:
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style_bits |= (user & user_bit_mask)
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if diff:
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style_bits |= diff_bit_mask
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if match:
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style_bits |= match_bit_mask
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if comment:
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style_bits |= comment_bit_mask
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if data:
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style_bits |= data_bit_mask
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if selected:
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style_bits |= selected_bit_mask
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return style_bits
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def get_style_mask(self, **kwargs):
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"""Get the bit mask that, when anded with data, will turn off the
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selected bits
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"""
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bits = self.get_style_bits(**kwargs)
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if 'user' in kwargs and kwargs['user']:
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bits |= user_bit_mask
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else:
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bits &= (0xff ^ user_bit_mask)
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return 0xff ^ bits
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def set_style_ranges(self, ranges, **kwargs):
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style_bits = self.get_style_bits(**kwargs)
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s = self.style
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for start, end in ranges:
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if end < start:
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start, end = end, start
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s[start:end] |= style_bits
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def clear_style_ranges(self, ranges, **kwargs):
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style_mask = self.get_style_mask(**kwargs)
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s = self.style
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for start, end in ranges:
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if end < start:
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start, end = end, start
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s[start:end] &= style_mask
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def get_style_ranges(self, **kwargs):
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style_bits = self.get_style_bits(**kwargs)
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matches = (self.style & style_bits) == style_bits
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return self.bool_to_ranges(matches)
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def bool_to_ranges(self, matches):
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w = np.where(matches == True)[0]
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# split into groups with consecutive numbers
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groups = np.split(w, np.where(np.diff(w) != 1)[0] + 1)
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ranges = []
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for group in groups:
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if np.alen(group) > 0:
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ranges.append((int(group[0]), int(group[-1]) + 1))
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return ranges
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def find_next(self, index, **kwargs):
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ranges = self.get_style_ranges(**kwargs)
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if len(ranges) > 0:
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index_tuple = (index + 1, 0)
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match_index = bisect.bisect_right(ranges, index_tuple)
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if match_index >= len(ranges):
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match_index = 0
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return ranges[match_index][0]
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return None
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def find_previous(self, index, **kwargs):
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ranges = self.get_style_ranges(**kwargs)
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if len(ranges) > 0:
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index_tuple = (index - 1, 0)
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match_index = bisect.bisect_left(ranges, index_tuple)
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match_index -= 1
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if match_index < 0:
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match_index = len(ranges) - 1
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return ranges[match_index][0]
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return None
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def get_rect_indexes(self, anchor_start, anchor_end):
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# determine row,col of upper left and lower right of selected
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# rectangle. The values are inclusive, so ul=(0,0) and lr=(1,2)
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# is 2 rows and 3 columns. Columns need to be adjusted slightly
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# depending on quadrant of selection because anchor indexes are
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# measured as cursor positions, that is: positions between the
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# bytes where as rect select needs to think of the selections as
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# on the byte positions themselves, not in between.
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bpr = self.map_width
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r1, c1 = divmod(anchor_start, bpr)
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r2, c2 = divmod(anchor_end, bpr)
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if c1 >= c2:
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# start column is to the right of the end column so columns
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# need to be swapped
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if r1 >= r2:
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# start row is below end row, so rows swapped as well
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c1, c2 = c2, c1 + 1
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r1, r2 = r2, r1
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elif c2 == 0:
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# When the cursor is at the end of a line, anchor_end points
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# to the first character of the next line. Handle this
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# special case by pointing to end of the previous line.
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c2 = bpr
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r2 -= 1
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else:
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c1, c2 = c2 - 1, c1 + 1
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else:
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# start column is to the left of the end column, so don't need
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# to swap columns
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if r1 > r2:
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# start row is below end row
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r1, r2 = r2, r1
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c2 += 1
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anchor_start = r1 * bpr + c1
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anchor_end = r2 * bpr + c2
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r2 += 1
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return anchor_start, anchor_end, (r1, c1), (r2, c2)
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def set_style_ranges_rect(self, ranges, **kwargs):
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style_bits = self.get_style_bits(**kwargs)
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s = self.style
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for start, end in ranges:
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start, end, (r1, c1), (r2, c2) = self.get_rect_indexes(start, end)
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# Numpy tricks!
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# >>> c1 = 15
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# >>> r = 4 # r2 - r1
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# >>> c = 10 # c2 - c1
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# >>> width = 40
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# >>> np.arange(c)
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#array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
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# >>> np.arange(r) * width
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#array([ 0, 40, 80, 120])
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# >>> np.tile(np.arange(c), r) + np.repeat(np.arange(r)*width, c)
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#array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 40, 41, 42,
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# 43, 44, 45, 46, 47, 48, 49, 80, 81, 82, 83, 84, 85,
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# 86, 87, 88, 89, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129])
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# >>> np.tile(np.arange(c), r) + np.repeat(np.arange(r)*width, c) + c1
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#array([ 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 55, 56, 57,
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# 58, 59, 60, 61, 62, 63, 64, 95, 96, 97, 98, 99, 100,
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# 101, 102, 103, 104, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144])
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r = r2 - r1
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c = c2 - c1
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indexes = np.tile(np.arange(c), r) + np.repeat(np.arange(r) * self.map_width, c) + start
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s[indexes] |= style_bits
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def rects_to_ranges(self, rects):
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ranges = []
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bpr = self.map_width
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for (r1, c1), (r2, c2) in rects:
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start = r1 * bpr + c1
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end = (r2 - 1) * bpr + c2
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ranges.append((start, end))
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return ranges
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def clear_style_bits(self, **kwargs):
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style_mask = self.get_style_mask(**kwargs)
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self.style &= style_mask
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def set_comment(self, ranges, text):
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self.set_style_ranges(ranges, comment=True)
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for start, end in ranges:
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rawindex = self.get_raw_index(start)
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self.rawdata.comments[rawindex] = text
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def get_comment(self, index):
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rawindex = self.get_raw_index(index)
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return self.rawdata.comments.get(rawindex, "")
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def get_first_comment(self, ranges):
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start = reduce(min, [r[0] for r in ranges])
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rawindex = self.get_raw_index(start)
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return self.rawdata.comments.get(rawindex, "")
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def clear_comment(self, ranges):
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self.clear_style_ranges(ranges, comment=True)
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for start, end in ranges:
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rawindex = self.get_raw_index(start)
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if rawindex in self.rawdata.comments:
|
|
del self.rawdata.comments[rawindex]
|
|
|
|
def get_sorted_comments(self):
|
|
return sorted([[k, v] for k, v in self.rawdata.comments.iteritems()])
|
|
|
|
def label(self, index, lower_case=True):
|
|
if lower_case:
|
|
return "%04x" % (index + self.start_addr)
|
|
else:
|
|
return "%04X" % (index + self.start_addr)
|
|
|
|
@property
|
|
def search_copy(self):
|
|
if self._search_copy is None:
|
|
self._search_copy = self.data.tostring()
|
|
return self._search_copy
|
|
|
|
def compare_segment(self, other_segment):
|
|
self.clear_style_bits(diff=True)
|
|
diff = self.rawdata.data != other_segment.rawdata.data
|
|
print diff, diff.dtype
|
|
d = diff * np.uint8(diff_bit_mask)
|
|
print d
|
|
self.style |= (diff * np.uint8(diff_bit_mask))
|
|
print "# entries", len(diff), "# diffs:", len(np.where(diff == True)[0])
|
|
|
|
|
|
class EmptySegment(DefaultSegment):
|
|
def __init__(self, rawdata, name="", error=None):
|
|
DefaultSegment.__init__(self, rawdata, 0, name, error)
|
|
|
|
def __str__(self):
|
|
s = "%s (empty file)" % (self.name, )
|
|
if self.error:
|
|
s += " " + self.error
|
|
return s
|
|
|
|
@property
|
|
def verbose_info(self):
|
|
s = "%s (empty file)" % (self.name, )
|
|
if self.error:
|
|
s += " error='%s'" % self.error
|
|
return s
|
|
|
|
def __len__(self):
|
|
return 0
|
|
|
|
|
|
class ObjSegment(DefaultSegment):
|
|
def __init__(self, rawdata, metadata_start, data_start, start_addr, end_addr, name="", **kwargs):
|
|
DefaultSegment.__init__(self, rawdata, start_addr, name, **kwargs)
|
|
self.metadata_start = metadata_start
|
|
self.data_start = data_start
|
|
|
|
def __str__(self):
|
|
count = len(self)
|
|
s = "%s $%04x-$%04x ($%04x @ $%04x)" % (self.name, self.start_addr, self.start_addr + count, count, self.data_start)
|
|
if self.error:
|
|
s += " " + self.error
|
|
return s
|
|
|
|
@property
|
|
def verbose_info(self):
|
|
count = len(self)
|
|
name = self.verbose_name or self.name
|
|
s = "%s address range: $%04x-$%04x ($%04x bytes), file index of first byte: $%04x" % (name, self.start_addr, self.start_addr + count, count, self.data_start)
|
|
if self.error:
|
|
s += " error='%s'" % self.error
|
|
return s
|
|
|
|
|
|
class RawSectorsSegment(DefaultSegment):
|
|
def __init__(self, rawdata, first_sector, num_sectors, count, boot_sector_size, num_boot_sectors, sector_size, **kwargs):
|
|
DefaultSegment.__init__(self, rawdata, 0, **kwargs)
|
|
self.boot_sector_size = boot_sector_size
|
|
self.num_boot_sectors = num_boot_sectors
|
|
self.page_size = sector_size
|
|
self.first_sector = first_sector
|
|
self.num_sectors = num_sectors
|
|
|
|
def __str__(self):
|
|
if self.num_sectors > 1:
|
|
s = "%s (sectors %d-%d)" % (self.name, self.first_sector, self.first_sector + self.num_sectors - 1)
|
|
else:
|
|
s = "%s (sector %d)" % (self.name, self.first_sector)
|
|
if self.error:
|
|
s += " " + self.error
|
|
return s
|
|
|
|
@property
|
|
def verbose_info(self):
|
|
name = self.verbose_name or self.name
|
|
if self.num_sectors > 1:
|
|
s = "%s (sectors %d-%d)" % (name, self.first_sector, self.first_sector + self.num_sectors - 1)
|
|
else:
|
|
s = "%s (sector %d)" % (name, self.first_sector)
|
|
s += " $%x bytes" % (len(self), )
|
|
if self.error:
|
|
s += " error='%s'" % self.error
|
|
return s
|
|
|
|
def label(self, index, lower_case=True):
|
|
boot_size = self.num_boot_sectors * self.boot_sector_size
|
|
if index >= boot_size:
|
|
sector, byte = divmod(index - boot_size, self.page_size)
|
|
sector += self.num_boot_sectors
|
|
else:
|
|
sector, byte = divmod(index, self.boot_sector_size)
|
|
if lower_case:
|
|
return "s%03d:%02x" % (sector + self.first_sector, byte)
|
|
return "s%03d:%02X" % (sector + self.first_sector, byte)
|
|
|
|
def interleave_indexes(segments, num_bytes):
|
|
num_segments = len(segments)
|
|
size = len(segments[0])
|
|
for s in segments[1:]:
|
|
if size != len(s):
|
|
raise ValueError("All segments to interleave must be the same size")
|
|
_, rem = divmod(size, num_bytes)
|
|
if rem != 0:
|
|
raise ValueError("Segment size must be a multiple of the byte interleave")
|
|
interleave = np.empty(size * num_segments, dtype=np.uint32)
|
|
factor = num_bytes * num_segments
|
|
start = 0
|
|
for s in segments:
|
|
order = s.rawdata.get_indexes_from_base()
|
|
for i in range(num_bytes):
|
|
interleave[start::factor] = order[i::num_bytes]
|
|
start += 1
|
|
return interleave
|
|
|
|
def interleave_segments(segments, num_bytes):
|
|
new_index = interleave_indexes(segments, num_bytes)
|
|
data_base, style_base = segments[0].rawdata.get_bases()
|
|
for s in segments[1:]:
|
|
d, s = s.rawdata.get_bases()
|
|
if id(d) != id(data_base) or id(s) != id(style_base):
|
|
raise ValueError("Can't interleave segments with different base arrays")
|
|
raw = SegmentData(data_base, style_base, segments[0].rawdata.comments, order=new_index)
|
|
segment = DefaultSegment(raw, 0)
|
|
return segment
|