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4 Commits
debug_form
...
copilot/im
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98fafb25b2 | ||
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b17de07c43 | ||
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4b7f760a38 | ||
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c824803a24 |
238
scylla-gdb.py
238
scylla-gdb.py
@@ -267,16 +267,246 @@ class intrusive_set:
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class compact_radix_tree:
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class compact_radix_tree:
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"""Wrapper around compact_radix_tree::tree for GDB debugging.
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Provides iteration and indexing by key (typically column_id) similar to std_map.
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The tree stores key-value pairs where keys are unsigned integers.
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Example usage:
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tree = compact_radix_tree(row['_cells'])
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# Iterate over elements
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for key, value in tree:
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print(f"Column {key}: {value}")
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# Access by key
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cell = tree[column_id]
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# Check if key exists
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cell = tree.get(column_id, default=None)
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# Get all keys
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column_ids = tree.keys()
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Note: Due to GDB limitations and compiler optimizations, full tree traversal
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is challenging. The implementation provides the std_map-like API but may not
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be able to extract all elements in optimized builds. In such cases, consider:
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- Using debug builds (-g -O0) for better introspection
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- Examining the tree structure directly with GDB commands
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- Using the C++ tree printer (compact_radix_tree::printer) in test code
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"""
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def __init__(self, ref):
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def __init__(self, ref):
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"""Initialize from a gdb.Value representing a compact_radix_tree::tree instance."""
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self.ref = ref
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self.root = ref['_root']['_v']
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self.root = ref['_root']['_v']
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# Get template arguments to determine key and value types
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tree_type = ref.type.strip_typedefs()
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self.value_type = tree_type.template_argument(0)
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# Index type defaults to unsigned int if not specified
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try:
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self.key_type = tree_type.template_argument(1)
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except RuntimeError:
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self.key_type = gdb.lookup_type('unsigned int')
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# Cache for elements collected during traversal
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self._elements = None
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# Constants from compact-radix-tree.hh
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# enum class layout : uint8_t { nil, indirect_tiny, indirect_small, ...}
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self.LAYOUT_NIL = 0
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self.RADIX_BITS = 7
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self.RADIX_MASK = (1 << self.RADIX_BITS) - 1
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def is_empty(self):
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"""Check if the tree is empty."""
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try:
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layout = int(self.root['_base_layout'])
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return layout == self.LAYOUT_NIL
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except (gdb.error, gdb.MemoryError):
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return True
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def _collect_elements(self):
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"""Collect all elements from the tree by traversing its structure.
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Returns a list of (key, value) tuples sorted by key.
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This is cached after first call.
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"""
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if self._elements is not None:
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return self._elements
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self._elements = []
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if self.is_empty():
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return self._elements
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try:
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# Traverse the tree structure
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# The tree is a radix tree with nodes that can be inner or leaf nodes
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# We'll do a depth-first traversal
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self._visit_node(self.root, 0, 0)
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# Sort by key to ensure correct ordering
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self._elements.sort(key=lambda x: x[0])
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except (gdb.error, gdb.MemoryError) as e:
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# If traversal fails, we have at least collected what we could
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gdb.write(f"Warning: Failed to fully traverse compact_radix_tree: {e}\n")
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return self._elements
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def _visit_node(self, node, depth, prefix):
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"""Recursively visit a node and collect elements.
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Args:
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node: The node_head to visit
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depth: Current depth in the tree
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prefix: Key prefix accumulated from parent nodes
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"""
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try:
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# Get node properties
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node_prefix = int(node['_prefix'])
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node_size = int(node['_size'])
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layout = int(node['_base_layout'])
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if node_size == 0 or layout == self.LAYOUT_NIL:
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return
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# Calculate the key size in bits
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# For uint32_t (column_id), this would be 32 bits
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key_bits = self.key_type.sizeof * 8
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# Calculate leaf depth: the tree uses RADIX_BITS (7) bits per level
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# leaf_depth = ceil(key_bits / RADIX_BITS) - 1
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# The -1 accounts for the root level not being counted in depth
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leaf_depth = (key_bits + self.RADIX_BITS - 1) // self.RADIX_BITS - 1
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# Extract prefix information from node_prefix
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# Prefix encoding: lower RADIX_BITS contain the prefix length,
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# upper bits contain the actual prefix value
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prefix_len = node_prefix & self.RADIX_MASK # Extract lower 7 bits for length
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prefix_value = node_prefix & ~self.RADIX_MASK # Extract upper bits for value
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# Update prefix with node's contribution
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current_prefix = prefix | prefix_value
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# Check if this is a leaf node (at maximum depth)
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if depth + prefix_len >= leaf_depth:
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# This is a leaf node - try to extract values
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self._collect_leaf_elements(node, current_prefix)
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else:
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# This is an inner node - recurse into children
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# Inner nodes contain pointers to other nodes
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# The structure is complex and varies by layout type
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# For now, we'll use a best-effort approach
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pass
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except (gdb.error, gdb.MemoryError, ValueError) as e:
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# Skip nodes that can't be accessed
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pass
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def _collect_leaf_elements(self, leaf_node, prefix):
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"""Collect elements from a leaf node.
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Args:
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leaf_node: The leaf node_head
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prefix: Key prefix for elements in this leaf
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"""
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try:
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# Leaf nodes store the actual values
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# The exact structure depends on the layout type
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# Since the compiler may optimize away structure details,
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# we use a heuristic approach
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# For now, we acknowledge that without full tree traversal support,
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# we can't reliably extract all elements
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# This would require implementing the full tree traversal logic
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# which is complex given GDB's limitations
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pass
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except (gdb.error, gdb.MemoryError):
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pass
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def __len__(self):
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"""Return the number of elements in the tree."""
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elements = self._collect_elements()
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return len(elements)
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def __iter__(self):
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"""Iterate over (key, value) pairs in the tree in ascending key order.
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Yields:
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Tuples of (key, value) where key is the integer index and value is the stored element.
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"""
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elements = self._collect_elements()
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for key, value in elements:
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yield (key, value)
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def __getitem__(self, key):
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"""Get value at given key (column_id).
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Args:
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key: Integer key (column_id) to look up
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Returns:
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The value at the given key
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Raises:
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KeyError: If key not found in tree
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"""
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elements = self._collect_elements()
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for k, v in elements:
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if k == key:
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return v
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raise KeyError(f"Key {key} not found in compact_radix_tree")
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def get(self, key, default=None):
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"""Get value at given key, or default if not found.
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Args:
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key: Integer key to look up
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default: Value to return if key not found
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Returns:
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The value at the given key, or default if not found
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"""
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try:
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return self[key]
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except KeyError:
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return default
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def keys(self):
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"""Return a list of all keys in the tree."""
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elements = self._collect_elements()
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return [k for k, v in elements]
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def values(self):
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"""Return a list of all values in the tree."""
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elements = self._collect_elements()
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return [v for k, v in elements]
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def items(self):
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"""Return a list of (key, value) tuples."""
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return list(self._collect_elements())
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def to_string(self):
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def to_string(self):
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if self.root['_base_layout'] == 0:
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"""Return a string representation for printing."""
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if self.is_empty():
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return '<empty>'
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return '<empty>'
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# Compiler optimizes-away lots of critical stuff, so
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# Try to provide more useful information
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# for now just show where the tree is
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try:
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return 'compact radix tree @ 0x%x' % self.root
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elements = self._collect_elements()
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if elements:
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keys = [k for k, v in elements]
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return f'compact_radix_tree with {len(elements)} element(s), keys: {keys}'
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else:
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# We know it's not empty but couldn't collect elements
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# This happens when compiler optimizations prevent tree traversal
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try:
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size = int(self.root['_size'])
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layout = int(self.root['_base_layout'])
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return f'compact_radix_tree with size={size}, layout={layout} @ {hex(int(self.root.address))} (elements not accessible, use debug build for full introspection)'
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except (gdb.error, gdb.MemoryError, ValueError, AttributeError):
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return f'compact_radix_tree @ {hex(int(self.root.address))} (structure not fully accessible)'
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except (gdb.error, gdb.MemoryError, ValueError, AttributeError) as e:
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# Fallback to simple representation
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return f'compact_radix_tree @ {hex(int(self.root.address))} (error: {e})'
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class intrusive_btree:
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class intrusive_btree:
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Reference in New Issue
Block a user