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graphistry / pygraphistry Public

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feat(gfql): WHERE clause with df_executor#886

Closed

lmeyerov wants to merge 195 commits into

mastergraphistry/pygraphistry:masterfrom

feat/where-clause-executorgraphistry/pygraphistry:feat/where-clause-executorCopy head branch name to clipboard

Conversation Commits195 (195)Checks Files changed

Closed

feat(gfql): WHERE clause with df_executor#886
lmeyerov wants to merge 195 commits into
masterfrom
feat/where-clause-executor

Commits

Commits on Jan 27, 2026

feat(gfql): add WHERE clause and df_executor (stacked PR)

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fix(tests): skip oracle tests for multi-hop + WHERE limitations

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docs(changelog): add WHERE feature and bugfix entries for PR 886
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test(gfql): restore df_executor profiling scripts
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fix(enumerator): restore source/destination_node_match filter support
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fix(enumerator): restore full pre-split functionality and remove test skips
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docs(changelog): restore missing cuDF same-path and test entries
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docs(changelog): restore from_json where validation fix entry
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docs(changelog): move WHERE entries to Development section

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fix(df_executor): fix off-by-one in _bfs_reachability max_hops

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test(gfql): add requires_gpu decorator for proper GPU test skipping

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refactor(gfql): extract ChainMeta for O(1) chain lookups

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refactor(gfql): extract EdgeSemantics for direction handling

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refactor(gfql): extract df_utils for DataFrame operations

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refactor(gfql): use EdgeSemantics in multihop methods, remove deprecated _build_edge_pairs

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refactor(gfql): use EdgeSemantics in _filter_edges_by_clauses

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refactor(gfql): extract BFS functions to same_path/bfs.py

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refactor(gfql): remove redundant _is_single_hop, use EdgeSemantics.is_multihop

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refactor(gfql): extract post-prune methods to same_path/post_prune.py

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refactor(gfql): extract multihop methods to same_path/multihop.py

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refactor(gfql): extract _re_propagate_backward to post_prune module

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refactor(gfql): extract WHERE edge filtering to same_path/where_filter.py

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refactor(gfql): delete dead code and unused optimizations

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fix(gfql): add forward WHERE pruning to df_executor

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refactor(gfql): remove unused imports from df_executor

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refactor(gfql): unify NULL semantics in evaluate_clause()

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refactor(gfql): move re_propagate_backward to executor method

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fix(cudf): comprehensive cuDF compatibility fixes for GFQL executor

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refactor(cudf): consolidate DataFrame construction helpers in df_utils

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fix(cudf): fix cuDF compatibility in chain backward pass and cross-engine coercion

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docs(changelog): add WHERE clause feature entries

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fix(tests): cuDF compatibility for tolist() calls in chain optimization tests

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fix(cudf): use module string checks for cross-engine coercion

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refactor(gfql): remove dead SamePathPlan code (~80 LOC)

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refactor(gfql): remove unused same_path/__init__.py (~35 LOC)

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refactor(gfql): add immutable PathState type (Phase 1)

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refactor(gfql): _backward_prune tracks pruned edges separately (Phase 2a)

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refactor(gfql): backward_propagate_constraints uses local state (Phase 2b)

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refactor(gfql): post_prune.py uses local state copies (Phase 2c)

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refactor(gfql): add edges_df_for_step accessor (Phase 2d)

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test(gfql): add PathState immutability unit tests (Phase 3)

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refactor(gfql): Phase 4 - convert to pure PathState API

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refactor(gfql): Phase 5 - remove old _PathState class and update docstrings

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test(gfql): Phase 6 - add PathState immutability contract tests

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fix(cudf): use series_values helper instead of .tolist() in backward_propagate_constraints

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chore: remove redundant comments from post_prune.py

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perf(gfql): replace Set with pd.Index for 7x faster ID operations

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perf(chain): use .isin() instead of merge for endpoint filtering

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revert: remove cuDF dtype coercion from safe_merge

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perf(hop): use .isin() instead of merge for wavefront->edges join (8x faster)

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refactor(hop): remove unused prepare_merge_dataframe function

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perf(hop): precompute node predicate domains
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perf(hop): unify direction pairs; modest CPU gains
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perf(hop): mask target/dest filters with isin
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perf(hop): precompute target wavefront domains
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perf(hop): use merge for EDGE_ID joins
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perf(df_executor): DF-native cuDF forward prune
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perf(hop): undirected single-pass expansion
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perf(hop): domain-based fast path traversal
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fix(hop): undirected single-pass frontier
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fix(gfql): use domain helpers for same-path ids
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fix(docs): include gfql same_path package in build
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fix(lint): clean unused imports and f-string
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fix(mypy): narrow optional frames in hop/gfql
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fix(mypy): drop dataclass slots for py3.9
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fix(mypy): avoid optional node cols in hop/bfs
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Fix hop pair typing without asserts
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Re-export col/compare in reference enumerator
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Expose col/compare without flake8 shadowing
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DRY hop edge expansion helpers
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Avoid re-deduping matches in hop
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Revert hop undirected fast path and match anti-join
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Add tracked benchmark scripts and docs
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Expand real-data benchmark coverage
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Add benchmark results log
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Add real-data WHERE benchmark scenarios
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Log real-data WHERE benchmark run
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Add scores to real-data benchmark output
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Log real-data benchmark scores
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Log redteam benchmark rerun
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Add redteam categorical benchmark option
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Add optional df_executor OTel spans
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Add OTel detail stats for df_executor
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Add non-adjacent OTel detail stats
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benchmarks: add optional otel setup
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otel: core helper, spans, trace headers
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tests: assert traceparent headers
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tests: behavior-level trace headers
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benchmarks: log fast-path A/B; hop: clarify toggle
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experiments: add non-adjacent WHERE modes
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experiments: add non-adj ordering/bounds
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benchmarks: log non-adj experiment
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gfql: limit value-mode to equality; log phase-18 runs
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fix(gfql): honor node-id WHERE in adjacent filters
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bench: log phase-19 where opt results
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bench: add low-card nonadj stress cases
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bench: log low-card nonadj stress results
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bench: add realdata where stress cases and timeouts
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bench: log realdata timeout stress results
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fix(gfql): null-safe where + singleton prefilter
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bench: log phase-22 timeout results
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feat(gfql): allow value-mode on selected ops
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docs(bench): log phase-23 value-mode ops results
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docs(bench): log phase-24 realdata baseline
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feat(gfql): dynamic non-adj clause ordering
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docs(bench): log phase-25 ordering results
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revert(gfql): drop dynamic non-adj ordering
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feat(gfql): group non-adj clauses by endpoints
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docs(bench): log phase-26 grouping results
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feat(gfql): add pair-gated non-adj clause option
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docs(bench): log phase 27 pair-gate results
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Revert "feat(gfql): add pair-gated non-adj clause option"
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feat(gfql): prefilter multi-eq non-adj clauses
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docs(bench): log phase 28 multi-eq prefilter results
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Revert "feat(gfql): prefilter multi-eq non-adj clauses"
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feat(gfql): composite value-mode for multi-eq non-adj
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docs(bench): log phase 29 composite value-mode
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feat(gfql): add capped vector non-adj strategy
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chore(bench): log phase 30 vector results
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feat(gfql): intersect vector clauses by adjacency
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chore(bench): log phase 31 vector results
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test(gfql): add vector parity coverage
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feat(gfql): gate vector paths on mid intersection
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feat(gfql): add value-aware vector path join
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chore(bench): log phase 33.1 vector results
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Revert "feat(gfql): add value-aware vector path join"
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checkpoint: auto mode + edge fast path benchmarks
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benchmarks: add optional kuzu comparisons
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benchmarks: add graph/scenario filters
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benchmarks: handle kuzu db path variants
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benchmarks: add WHERE opt matrix runner
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benchmarks: seed support + multi-eq semijoin flag
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feat(gfql): default non-adj WHERE auto mode
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bench: add timeout repro harness
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feat(gfql): guard auto value mode on multi-clause
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feat(gfql): add opt-in inequality aggregation
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feat(gfql): gate ineq aggregation by label
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feat(gfql): gate ineq aggregation on label eq
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perf(gfql): avoid semijoin pair build when inactive
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chore(gfql): add otel size counters
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fix(gfql): init vector guard domains
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perf(gfql): reduce semijoin dedup overhead
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perf(gfql): cache edge pairs for semijoins
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docs(changelog): note WHERE perf + otel updates
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style: fix flake8 spacing
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chore: tidy hop/df_executor imports
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chore: tighten gfql typing
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chore: reuse cudf checks
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chore: simplify gfql where parsing
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chore: drop stale hop TODOs
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chore: tighten domain helpers
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style: fix test_str spacing
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chore: fix post_prune typing
lmeyerov
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benchmarks: add graph-benchmark q1-q9 harness
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benchmarks: fix interest edge filename
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benchmarks: log graph-benchmark q1-q9 baseline
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benchmarks: add preindexed graph-benchmark mode
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benchmarks: add presorted graph-benchmark mode
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benchmarks: add preindex timing for graph-benchmark
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benchmarks: log preindex timing results
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refactor: trim same_path slop
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test: trim df_executor core slop
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test: trim df_executor pattern slop
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test: trim df_executor dimension slop
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test: trim df_executor amplify slop
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test: trim path_state slop
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test: drop df_executor core docstrings
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test: drop df_executor pattern docstrings
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refactor: drop df_executor docstrings
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refactor: drop same_path docstrings
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Trim gfql ref test slop
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Trim compute test docstrings
lmeyerov
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Trim gfql_unified comments
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Trim remote helper comments
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Trim chain/hop comment slop
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Trim df_executor comments
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Trim where_filter comments
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Trim df_utils/multihop comments
lmeyerov
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Trim redundant ArrowFileUploader comment
lmeyerov
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Deduplicate edge semantics endpoint cols
lmeyerov
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Tighten same-path domain typing
lmeyerov
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Tighten PathState sync typing
lmeyerov
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Tighten multihop domain typing
lmeyerov
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Type post-prune allowed_edges as DomainT
lmeyerov
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Remove unused multihop visited tracking
lmeyerov
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Reduce post-prune duplication and fix typing
lmeyerov
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Simplify same-path pruning helpers
lmeyerov
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Compact post-prune tracing and helpers
lmeyerov
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Reduce post-prune and where-filter duplication
lmeyerov
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Collapse post-prune pruning patterns
lmeyerov
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Consolidate post-prune allowed-node updates
lmeyerov
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Refine post-prune allowed updates
lmeyerov
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Reduce post-prune inequality duplication
lmeyerov
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Reduce post_prune duplication
lmeyerov
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Reduce post_prune duplication further
lmeyerov
committed

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