ci.yml / build (pull_request) Successful in 3m49s
Restructure the benchmark pipeline to direct all simulated data, indices, statistics, and query outputs into a unified `run/` directory. Update Makefile targets, shell scripts, and Python utilities to resolve paths relative to this new base. Adjust documentation and dependency tracking to match the revised layout, and remove outdated temporary artifacts.
212 lines
10 KiB
Markdown
212 lines
10 KiB
Markdown
# Benchmark pipeline
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Requires **GNU Make ≥ 4.3** (grouped targets `&:`). On macOS use `gmake`.
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```
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gmake all # full pipeline
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gmake simulate # simulation only
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gmake reference # reference kmer sets only
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```
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All generated and downloaded artifacts live under `run/` (see
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[Directory layout](#directory-layout)), so the whole tree is gitignored with
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a single `benchmark/run/` entry.
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## Pipeline overview
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```mermaid
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flowchart TD
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GENOMES["run/genomes/*.fna.gz"]
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BIN["obikmer binary"]
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GENOMES --> simulate
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simulate --> simdata[("run/simulated_data/")]
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simdata --> reference
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reference --> refnpz[("run/reference_index/*.npz")]
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subgraph presence ["Presence track"]
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simdata --> index_presence
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BIN --> index_presence
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index_presence --> pres_done[("run/specimen_index_presence/")]
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index_presence --> pres_istats[("run/stats/indexing_presence/")]
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pres_istats --> aggregate_index_presence
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pres_done --> merge_presence
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BIN --> merge_presence
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merge_presence --> gpres[("run/global_index_presence/")]
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refnpz --> verify_presence
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pres_done --> verify_presence
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verify_presence --> vpres_stats[("run/stats/verify_presence/")]
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vpres_stats --> aggregate_verify_presence
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gpres --> filter_presence
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BIN --> filter_presence
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filter_presence --> spec_pres[("run/specific_index_presence/")]
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filter_presence --> spec_pres_stats[("run/stats/specific_kmer_presence/")]
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spec_pres_stats --> aggregate_filter_presence
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refnpz --> verify_merge_presence
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gpres --> verify_merge_presence
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verify_merge_presence --> vmp[("run/stats/verify_merge_presence/")]
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end
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subgraph count ["Count track"]
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simdata --> index_count
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BIN --> index_count
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index_count --> count_done[("run/specimen_index_count/")]
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index_count --> count_istats[("run/stats/indexing_count/")]
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count_istats --> aggregate_index_count
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count_done --> merge_count
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BIN --> merge_count
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merge_count --> gcount[("run/global_index_count/")]
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refnpz --> verify_count
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count_done --> verify_count
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verify_count --> vcount_stats[("run/stats/verify_count/")]
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vcount_stats --> aggregate_verify_count
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gcount --> filter_count
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BIN --> filter_count
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filter_count --> spec_count[("run/specific_index_count/")]
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filter_count --> spec_count_stats[("run/stats/specific_kmer_count/")]
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spec_count_stats --> aggregate_filter_count
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refnpz --> verify_merge_count
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gcount --> verify_merge_count
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verify_merge_count --> vmc[("run/stats/verify_merge_count/")]
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end
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subgraph query ["Query track (2 specimens: E. coli + archaeon)"]
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GENOMES --> simulate_query
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simulate_query --> qdata[("run/query_data/")]
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gpres --> pack_dense_presence
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BIN --> pack_dense_presence
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pack_dense_presence --> gpresd[("run/global_index_presence_dense/")]
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count_done --> pack_dense_count
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BIN --> pack_dense_count
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pack_dense_count --> gcountd[("run/global_index_count_dense/")]
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qdata --> query_presence_dense
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gpresd --> query_presence_dense
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query_presence_dense --> qpd[("run/query_presence_dense/")]
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qpd --> aggregate_query_presence_dense
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qdata --> query_presence_sparse
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gpres --> query_presence_sparse
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query_presence_sparse --> qps[("run/query_presence_sparse/")]
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qps --> aggregate_query_presence_sparse
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qdata --> query_count_dense
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gcountd --> query_count_dense
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query_count_dense --> qcd[("run/query_count_dense/")]
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qcd --> aggregate_query_count_dense
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qdata --> query_count_sparse
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gcount --> query_count_sparse
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query_count_sparse --> qcs[("run/query_count_sparse/")]
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qcs --> aggregate_query_count_sparse
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qpd --> verify_query
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qps --> verify_query
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verify_query --> vq_stats[("run/stats/verify_query/")]
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vq_stats --> aggregate_verify_query
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end
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aggregate_verify_presence --> all
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aggregate_verify_count --> all
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vmp --> all
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vmc --> all
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aggregate_query_presence_dense --> all
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aggregate_query_presence_sparse --> all
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aggregate_query_count_dense --> all
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aggregate_query_count_sparse --> all
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aggregate_verify_query --> all
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all -. "$(MAKE) re-eval" .-> aggregate_filter_presence
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all -. "$(MAKE) re-eval" .-> aggregate_filter_count
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```
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## Steps
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| Target | Script | Description |
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| `simulate` | `simulate.sh` | Simulate sequencing reads from the reference genomes |
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| `reference` | `build_reference.sh` | Build reference kmer sets (`.npz`) from simulation truth |
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| `index_presence` | `index_one_presence.sh` | Index each specimen (presence mode) |
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| `index_count` | `index_one_count.sh` | Index each specimen (count mode) |
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| `aggregate_index_presence` | `aggregate_stats.sh` | Aggregate per-specimen indexing stats (presence) |
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| `aggregate_index_count` | `aggregate_stats.sh` | Aggregate per-specimen indexing stats (count) |
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| `merge_presence` | `merge_presence.sh` | Merge all specimen presence indexes into a global index |
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| `merge_count` | `merge_count.sh` | Merge all specimen count indexes into a global index |
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| `verify_presence` | `verify_one_presence.sh` | Verify each specimen presence index against reference |
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| `verify_count` | `verify_one_count.sh` | Verify each specimen count index against reference |
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| `aggregate_verify_presence` | `aggregate_stats.sh` | Aggregate per-specimen verification stats (presence) |
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| `aggregate_verify_count` | `aggregate_stats.sh` | Aggregate per-specimen verification stats (count) |
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| `filter_presence` | `filter_one_presence.sh` | Extract species-specific presence indexes from global index |
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| `filter_count` | `filter_one_count.sh` | Extract species-specific count indexes from global index |
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| `aggregate_filter_presence` | `aggregate_stats.sh` | Aggregate species-specific kmer stats (presence) |
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| `aggregate_filter_count` | `aggregate_stats.sh` | Aggregate species-specific kmer stats (count) |
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| `verify_merge_presence` | `verify_merge_presence.sh` | Verify global presence index against all reference sets |
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| `verify_merge_count` | `verify_merge_count.sh` | Verify global count index against all reference sets |
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| `simulate_query` | `simulate_query_one.sh` | Simulate a fixed-size (100k pairs) read set per query specimen |
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| `pack_dense_presence` | `pack_dense.sh presence` | Build `global_index_presence_dense/` from `global_index_presence/` |
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| `pack_dense_count` | `pack_dense.sh count` | Build `global_index_count_dense/` from the per-specimen count sources |
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| `query_presence_dense` | `query_one.sh presence dense` | Query against the dense presence global index |
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| `query_presence_sparse` | `query_one.sh presence sparse` | Query against the sparse (as-merged) presence global index |
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| `query_count_dense` | `query_one.sh count dense` | Query against the dense count global index |
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| `query_count_sparse` | `query_one.sh count sparse` | Query against the sparse (as-merged) count global index |
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| `aggregate_query_presence_dense` | `aggregate_stats.sh` | Aggregate dense presence-query wall/RSS stats |
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| `aggregate_query_presence_sparse` | `aggregate_stats.sh` | Aggregate sparse presence-query wall/RSS stats |
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| `aggregate_query_count_dense` | `aggregate_stats.sh` | Aggregate dense count-query wall/RSS stats |
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| `aggregate_query_count_sparse` | `aggregate_stats.sh` | Aggregate sparse count-query wall/RSS stats |
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| `verify_query` | `verify_query_one.sh` | Diff dense vs sparse presence-query output per specimen (regression check) |
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| `aggregate_verify_query` | `aggregate_stats.sh` | Aggregate dense/sparse query regression stats |
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## Directory layout
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```
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benchmark/
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└── run/ # everything generated/downloaded — gitignored as a whole
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├── genomes/ # input reference genomes (.fna.gz), downloaded by downloads.sh
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├── simulated_data/ # generated by simulate
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│ └── <species>/<specimen>/
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├── query_data/ # generated by simulate_query (2 specimens, fixed 100k pairs)
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│ └── <species>/<specimen>/
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├── reference_index/ # reference kmer sets (.npz)
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├── reference_dist/ # reference pairwise distance matrices
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├── obikmer_dist/ # obikmer phylo distance matrices (presence/, count/)
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├── specimen_index_presence/ # per-specimen presence indexes
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├── specimen_index_count/ # per-specimen count indexes
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├── global_index_presence/ # merged global presence index (sparse, as merged)
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├── global_index_presence_dense/ # global presence index, dense-repacked (query benchmark)
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├── global_index_count/ # merged global count index (sparse, as merged)
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├── global_index_count_dense/ # global count index, dense-repacked (query benchmark)
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├── specific_index_presence/ # species-specific presence indexes
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├── specific_index_count/ # species-specific count indexes
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├── query_presence_dense/ # query output against global_index_presence_dense
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├── query_presence_sparse/ # query output against global_index_presence
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├── query_count_dense/ # query output against global_index_count_dense
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├── query_count_sparse/ # query output against global_index_count
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└── stats/ # all benchmark statistics
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├── indexing_presence/
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├── indexing_count/
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├── verify_presence/
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├── verify_count/
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├── specific_kmer_presence/
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├── specific_kmer_count/
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├── verify_merge_presence/
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├── verify_merge_count/
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├── pack_dense_presence/
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├── pack_dense_count/
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├── query_presence_dense/
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├── query_presence_sparse/
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├── query_count_dense/
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├── query_count_sparse/
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├── dist_comparison/
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└── verify_query/
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```
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