From e502022ca1751b89d60d6ea32c8b9cf559bfa704 Mon Sep 17 00:00:00 2001 From: Trexz14 <55001975+Trexz14@users.noreply.github.com> Date: Thu, 18 Jun 2026 16:21:39 +0200 Subject: [PATCH 1/4] adaptation demo experimentation --- .../TBME_2023_Repo_Code_Summary.md | 0 .../pyeCAP_Repo_Code_Summary.md | 0 graphify-out/GRAPH_REPORT.md | 161 - ...e6352630d3b402b7a8e59b29fb7da911d9f17.json | 1 - ...74c6542d951c1116f21da68bfe20c94b4babe.json | 1 - ...5d0a56a1bc5070ffaa7717e6ae9f70c3dec88.json | 1 - ...d72df16a9568c3e32ce55f470ab8f5ac340ba.json | 1 - ...2e3023941ea52b769f4be7b1e6e2333043fb5.json | 1 - ...19cc36e4758822b463aba21b242d83f8f036a.json | 1 - ...928d1c2803127aaa12493b07327e6f7d0a697.json | 1 - ...53ad436f6c11714980e2784149184d7a91287.json | 1 - ...7a86cc0a7552e4e30081fcc3696ed223e1ece.json | 1 - ...dfa48f0a0f114a54ff879c296017e94b62262.json | 1 - ...81c394dcdeee4ef31196ef334ab2736370880.json | 1 - ...447b982b7d3adfe92074a7e6eb751ac9aa386.json | 1 - 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(2026-06-16) - -## Corpus Check -- 28 files · ~172,622 words -- Verdict: corpus is large enough that graph structure adds value. - -## Summary -- 309 nodes · 499 edges · 19 communities detected -- Extraction: 82% EXTRACTED · 18% INFERRED · 0% AMBIGUOUS · INFERRED: 92 edges (avg confidence: 0.78) -- Token cost: 0 input · 0 output - -## Community Hubs (Navigation) -- [[_COMMUNITY_Community 0|Community 0]] -- [[_COMMUNITY_Community 1|Community 1]] -- [[_COMMUNITY_Community 2|Community 2]] -- [[_COMMUNITY_Community 3|Community 3]] -- [[_COMMUNITY_Community 4|Community 4]] -- [[_COMMUNITY_Community 5|Community 5]] -- [[_COMMUNITY_Community 6|Community 6]] -- [[_COMMUNITY_Community 7|Community 7]] -- [[_COMMUNITY_Community 8|Community 8]] -- [[_COMMUNITY_Community 9|Community 9]] -- [[_COMMUNITY_Community 10|Community 10]] -- [[_COMMUNITY_Community 11|Community 11]] -- [[_COMMUNITY_Community 12|Community 12]] -- [[_COMMUNITY_Community 13|Community 13]] -- [[_COMMUNITY_Community 14|Community 14]] -- [[_COMMUNITY_Community 15|Community 15]] -- [[_COMMUNITY_Community 16|Community 16]] -- [[_COMMUNITY_Community 17|Community 17]] -- [[_COMMUNITY_Community 18|Community 18]] - -## God Nodes (most connected - your core abstractions) -1. `read_rhd_all_channels()` - 14 edges -2. `Conv2D` - 12 edges -3. `MaxPool2D` - 12 edges -4. `Adam` - 12 edges -5. `EscapeNet` - 11 edges -6. `train_eval()` - 10 edges -7. `ReLU` - 10 edges -8. `Flatten` - 10 edges -9. `train()` - 10 edges -10. `train_fold()` - 9 edges - -## Surprising Connections (you probably didn't know these) -- `main()` --calls--> `rf_eval()` [INFERRED] - scripts/repro_full.py → scripts/extract_v2.py -- `build_mode_with_groups()` --calls--> `read_rhd_all_channels()` [INFERRED] - scripts/repro_full.py → scripts/preprocess_and_extract.py -- `build_mode_with_groups()` --calls--> `pipeline()` [INFERRED] - scripts/repro_full.py → scripts/diag_extraction.py -- `build_mode_with_groups()` --calls--> `extract()` [INFERRED] - scripts/repro_full.py → scripts/extract_v2.py -- `get_dataset()` --calls--> `load()` [INFERRED] - scripts/repro_full.py → scripts/binary_diag.py - -## Communities - -### Community 0 - "Community 0" -Cohesion: 0.04 -Nodes (28): EscapeNet, Paper ESCAPE-NET, binary head., EscapeNet, Paper ESCAPE-NET: 3 conv(same)+ReLU, 2 maxpool(2x2 s2), FC256, FC3., build_escapenet(), _c_array(), _col2im(), Conv2D (+20 more) - -### Community 1 - "Community 1" -Cohesion: 0.08 -Nodes (21): _predict(), analyze(), load(), main(), normalize(), binary_rf_oracle.py ------------------- Fast separability oracle for the BINARY, rf(), feat() (+13 more) - -### Community 2 - "Community 2" -Cohesion: 0.09 -Nodes (27): check(), main(), run_binary.py — ONE command to get every binary pricking-vs-rest result. =====, _run_step(), _Tee, write_summary(), downsample_normalise(), drain_text() (+19 more) - -### Community 3 - "Community 3" -Cohesion: 0.14 -Nodes (21): train_one(), Adam, EscapeNet, Returns (loss, dlogits). y is int label array., softmax_cross_entropy(), _summary(), train(), augment() (+13 more) - -### Community 4 - "Community 4" -Cohesion: 0.1 -Nodes (25): build(), main(), build_rat.py RATNAME Extract signed CAP signatures for any rat's single-activity, extract_with_times(), local_rate(), main(), burst_gate.py ------------- Data-driven proxy for the paper's stimulus-timing la, Same detection as extract_v2.extract (signed), but also return peak times. (+17 more) - -### Community 5 - "Community 5" -Cohesion: 0.17 -Nodes (14): augment_sub(), _build_cache(), fit_norm(), load(), main(), binary_cnn.py ------------- Binary pricking-vs-rest ESCAPE-NET (paper architectu, Paper augmentation on ORIGINAL sub-classes; returns binary labels. Keeps syn, One-time extraction of signed 56x100 signatures from raw .rhd (same pipeline (+6 more) - -### Community 6 - "Community 6" -Cohesion: 0.18 -Nodes (15): amplitude_confound(), file_mean_similarity(), leave_one_file_out(), load(), main(), binary_diag.py -------------- Root-cause diagnostics for the binary prick-vs-res, augment(), main() (+7 more) - -### Community 7 - "Community 7" -Cohesion: 0.23 -Nodes (12): augment(), _build_cache(), fit_norm(), load(), main(), _predict(), _print_cm(), threeclass_cnn.py ----------------- 3-class ESCAPE-NET (dorsiflexion / plantarfl (+4 more) - -### Community 8 - "Community 8" -Cohesion: 0.27 -Nodes (12): augment(), available_rats(), build_rat(), Config, fit_normalizer(), load(), main(), train_all_rats.py ================= Per-rat ESCAPE-NET training across every rat (+4 more) - -### Community 9 - "Community 9" -Cohesion: 0.31 -Nodes (8): iter_samples(), main(), parse_rhd_header(), stream.py --------- Reads nerve EEG data from an Intan .rhd file and streams it, Generator that reads one data block at a time and yields individual voltage, Read a Qt-style QString from the file. Format: 4-byte length (uint32, little, Parse the binary header of an Intan .rhd file. Returns a dict with: -, read_qstring() - -### Community 10 - "Community 10" -Cohesion: 0.31 -Nodes (4): sm_softmax(), sm_stage1_forward(), sm_stage2_forward(), sm_tanh_approx() - -### Community 11 - "Community 11" -Cohesion: 0.36 -Nodes (6): detect_signed(), main(), pipeline(), diag2_template.py ----------------- Crux test: do clean, averageable CAP templat, Average 1-D windows of sig1d around peaks; SNR = template peak / residual std., template_snr() - -### Community 12 - "Community 12" -Cohesion: 0.39 -Nodes (7): build_alternating(), detect_signed(), feat(), main(), diag4_angle_gated.py -------------------- Test the LABEL-NOISE hypothesis with t, Concatenate the 7 alternating files, detect CAPs, label by angular-velocity sign, rf_bin() - -### Community 13 - "Community 13" -Cohesion: 0.4 -Nodes (5): download_file(), fmt_size(), main(), Human-readable file size., Download a single file with retry logic. - -### Community 14 - "Community 14" -Cohesion: 0.7 -Nodes (4): Quick inspection of RHD files to understand the data structure., read_channel_header(), read_header(), read_qstring() - -### Community 15 - "Community 15" -Cohesion: 0.83 -Nodes (3): main(), make_image(), ru() - -### Community 16 - "Community 16" -Cohesion: 1.0 -Nodes (0): - -### Community 17 - "Community 17" -Cohesion: 1.0 -Nodes (0): - -### Community 18 - "Community 18" -Cohesion: 1.0 -Nodes (0): - -## Knowledge Gaps -- **71 isolated node(s):** `Like ev.build but also returns the source-file index per sample (for grouped CV)`, `build_rat.py RATNAME Extract signed CAP signatures for any rat's single-activity`, `threeclass_cnn.py ----------------- 3-class ESCAPE-NET (dorsiflexion / plantarfl`, `Paper ESCAPE-NET, 3-class head.`, `One-time extraction of signed 56x100 signatures from raw .rhd.` (+66 more) - These have ≤1 connection - possible missing edges or undocumented components. -- **Thin community `Community 16`** (2 nodes): `main()`, `main.py` - Too small to be a meaningful cluster - may be noise or needs more connections extracted. -- **Thin community `Community 17`** (2 nodes): `feat()`, `diag3_separability.py` - Too small to be a meaningful cluster - may be noise or needs more connections extracted. -- **Thin community `Community 18`** (1 nodes): `escapenet_weights.h` - Too small to be a meaningful cluster - may be noise or needs more connections extracted. - -## Suggested Questions -_Questions this graph is uniquely positioned to answer:_ - -- **Why does `read_rhd_all_channels()` connect `Community 4` to `Community 3`, `Community 5`, `Community 7`, `Community 8`, `Community 11`, `Community 12`?** - _High betweenness centrality (0.159) - this node is a cross-community bridge._ -- **Why does `load()` connect `Community 6` to `Community 3`, `Community 4`, `Community 12`?** - _High betweenness centrality (0.140) - this node is a cross-community bridge._ -- **Why does `export_weights_header()` connect `Community 0` to `Community 2`?** - _High betweenness centrality (0.139) - this node is a cross-community bridge._ -- **Are the 10 inferred relationships involving `read_rhd_all_channels()` (e.g. with `build_mode_with_groups()` and `build()`) actually correct?** - _`read_rhd_all_channels()` has 10 INFERRED edges - model-reasoned connections that need verification._ -- **Are the 4 inferred relationships involving `Conv2D` (e.g. with `.__init__()` and `.__init__()`) actually correct?** - _`Conv2D` has 4 INFERRED edges - model-reasoned connections that need verification._ -- **Are the 4 inferred relationships involving `MaxPool2D` (e.g. with `.__init__()` and `.__init__()`) actually correct?** - _`MaxPool2D` has 4 INFERRED edges - model-reasoned connections that need verification._ -- **Are the 8 inferred relationships involving `Adam` (e.g. with `repro_full.py ------------- End-to-end reproduction of the 2020 ESCAPE-NET resul` and `Per-sample zero-mean/unit-std over the 56x100 image.`) actually correct?** - _`Adam` has 8 INFERRED edges - model-reasoned connections that need verification._ \ No newline at end of file diff --git a/graphify-out/cache/12ba9427d0e8537496b4c7bf795e6352630d3b402b7a8e59b29fb7da911d9f17.json b/graphify-out/cache/12ba9427d0e8537496b4c7bf795e6352630d3b402b7a8e59b29fb7da911d9f17.json deleted file mode 100644 index 4abb86f..0000000 --- a/graphify-out/cache/12ba9427d0e8537496b4c7bf795e6352630d3b402b7a8e59b29fb7da911d9f17.json +++ /dev/null @@ -1 +0,0 @@ -{"nodes": [{"id": "scripts_build_rat_py", "label": "build_rat.py", "file_type": "code", "source_file": "scripts/build_rat.py", "source_location": "L1"}, {"id": "build_rat_build", "label": "build()", "file_type": "code", "source_file": "scripts/build_rat.py", "source_location": "L18"}, {"id": "build_rat_main", "label": "main()", "file_type": "code", "source_file": "scripts/build_rat.py", "source_location": "L33"}, {"id": "build_rat_rationale_1", "label": "build_rat.py RATNAME Extract signed CAP signatures for any rat's single-activity", "file_type": "rationale", "source_file": 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".__init__()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L49", - "id": "threeclass_cnn_escapenet_init", - "community": 0, - "norm_label": ".__init__()" - }, - { - "label": ".forward()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L59", - "id": "threeclass_cnn_escapenet_forward", - "community": 0, - "norm_label": ".forward()" - }, - { - "label": "_build_cache()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L63", - "id": "threeclass_cnn_build_cache", - "community": 7, - "norm_label": "_build_cache()" - }, - { - "label": "load()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L93", - "id": "threeclass_cnn_load", - "community": 7, - "norm_label": "load()" - }, - { - "label": "fit_norm()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L107", - "id": "threeclass_cnn_fit_norm", - "community": 7, - "norm_label": "fit_norm()" - }, - { - "label": "augment()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L120", - "id": "threeclass_cnn_augment", - "community": 7, - "norm_label": "augment()" - }, - { - "label": "_predict()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L137", - "id": "threeclass_cnn_predict", - "community": 7, - "norm_label": "_predict()" - }, - { - "label": "train_one()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L148", - "id": "threeclass_cnn_train_one", - "community": 7, - "norm_label": "train_one()" - }, - { - "label": "_print_cm()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L173", - "id": "threeclass_cnn_print_cm", - "community": 7, - "norm_label": "_print_cm()" - }, - { - "label": "run_rat()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L178", - "id": "threeclass_cnn_run_rat", - "community": 7, - "norm_label": "run_rat()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L256", - "id": "threeclass_cnn_main", - "community": 7, - "norm_label": "main()" - }, - { - "label": "threeclass_cnn.py ----------------- 3-class ESCAPE-NET (dorsiflexion / plantarfl", - "file_type": "rationale", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L1", - "id": "threeclass_cnn_rationale_1", - "community": 7, - "norm_label": "threeclass_cnn.py ----------------- 3-class escape-net (dorsiflexion / plantarfl" - }, - { - "label": "Paper ESCAPE-NET, 3-class head.", - "file_type": "rationale", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L48", - "id": "threeclass_cnn_rationale_48", - "community": 0, - "norm_label": "paper escape-net, 3-class head." - }, - { - "label": "One-time extraction of signed 56x100 signatures from raw .rhd.", - "file_type": "rationale", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L64", - "id": "threeclass_cnn_rationale_64", - "community": 7, - "norm_label": "one-time extraction of signed 56x100 signatures from raw .rhd." - }, - { - "label": "Paper augmentation: per-class mean template + Gaussian noise fit to residuals.", - "file_type": "rationale", - "source_file": "scripts/threeclass_cnn.py", - "source_location": "L121", - "id": "threeclass_cnn_rationale_121", - "community": 7, - "norm_label": "paper augmentation: per-class mean template + gaussian noise fit to residuals." - }, - { - "label": "extract_v2.py", - "file_type": "code", - "source_file": "scripts/extract_v2.py", - "source_location": "L1", - "id": "scripts_extract_v2_py", - "community": 5, - "norm_label": "extract_v2.py" - }, - { - "label": "pipeline()", - "file_type": "code", - "source_file": "scripts/extract_v2.py", - "source_location": "L17", - "id": "extract_v2_pipeline", - "community": 5, - "norm_label": "pipeline()" - }, - { - "label": "extract()", - "file_type": "code", - "source_file": "scripts/extract_v2.py", - "source_location": "L30", - "id": "extract_v2_extract", - "community": 5, - "norm_label": "extract()" - }, - { - "label": "build()", - "file_type": "code", - "source_file": "scripts/extract_v2.py", - "source_location": "L42", - "id": "extract_v2_build", - "community": 5, - "norm_label": "build()" - }, - { - "label": "rf_eval()", - "file_type": "code", - "source_file": "scripts/extract_v2.py", - "source_location": "L55", - "id": "extract_v2_rf_eval", - "community": 5, - "norm_label": "rf_eval()" - }, - { - "label": "extract_v2.py ------------- Re-extract CAP signatures from ALL RAT4 files with t", - "file_type": "rationale", - "source_file": "scripts/extract_v2.py", - "source_location": "L1", - "community": 5, - "norm_label": "extract_v2.py ------------- re-extract cap signatures from all rat4 files with t", - "id": "extract_v2_rationale_1" - }, - { - "label": "_inspect_rhd.py", - "file_type": "code", - "source_file": "scripts/_inspect_rhd.py", - "source_location": "L1", - "id": "scripts_inspect_rhd_py", - "community": 14, - "norm_label": "_inspect_rhd.py" - }, - { - "label": "read_qstring()", - "file_type": "code", - "source_file": "scripts/_inspect_rhd.py", - "source_location": "L5", - "id": "inspect_rhd_read_qstring", - "community": 14, - "norm_label": "read_qstring()" - }, - { - "label": "read_channel_header()", - "file_type": "code", - "source_file": "scripts/_inspect_rhd.py", - "source_location": "L12", - "id": "inspect_rhd_read_channel_header", - "community": 14, - "norm_label": "read_channel_header()" - }, - { - "label": "read_header()", - "file_type": "code", - "source_file": "scripts/_inspect_rhd.py", - "source_location": "L28", - "id": "inspect_rhd_read_header", - "community": 14, - "norm_label": "read_header()" - }, - { - "label": "Quick inspection of RHD files to understand the data structure.", - "file_type": "rationale", - "source_file": "scripts/_inspect_rhd.py", - "source_location": "L1", - "community": 14, - "norm_label": "quick inspection of rhd files to understand the data structure.", - "id": "inspect_rhd_rationale_1" - }, - { - "label": "diag2_template.py", - "file_type": "code", - "source_file": "scripts/diag2_template.py", - "source_location": "L1", - "id": "scripts_diag2_template_py", - "community": 11, - "norm_label": "diag2_template.py" - }, - { - "label": "pipeline()", - "file_type": "code", - "source_file": "scripts/diag2_template.py", - "source_location": "L17", - "id": "diag2_template_pipeline", - "community": 11, - "norm_label": "pipeline()" - }, - { - "label": "template_snr()", - "file_type": "code", - "source_file": "scripts/diag2_template.py", - "source_location": "L32", - "id": "diag2_template_template_snr", - "community": 11, - "norm_label": "template_snr()" - }, - { - "label": "detect_signed()", - "file_type": "code", - "source_file": "scripts/diag2_template.py", - "source_location": "L43", - "id": "diag2_template_detect_signed", - "community": 11, - "norm_label": "detect_signed()" - }, - { - "label": "detect_abs()", - "file_type": "code", - "source_file": "scripts/diag2_template.py", - "source_location": "L48", - "id": "diag2_template_detect_abs", - "community": 11, - "norm_label": "detect_abs()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/diag2_template.py", - "source_location": "L54", - "id": "diag2_template_main", - "community": 11, - "norm_label": "main()" - }, - { - "label": "diag2_template.py ----------------- Crux test: do clean, averageable CAP templat", - "file_type": "rationale", - "source_file": "scripts/diag2_template.py", - "source_location": "L1", - "community": 11, - "norm_label": "diag2_template.py ----------------- crux test: do clean, averageable cap templat", - "id": "diag2_template_rationale_1" - }, - { - "label": "Average 1-D windows of sig1d around peaks; SNR = template peak / residual std.", - "file_type": "rationale", - "source_file": "scripts/diag2_template.py", - "source_location": "L33", - "community": 11, - "norm_label": "average 1-d windows of sig1d around peaks; snr = template peak / residual std.", - "id": "diag2_template_rationale_33" - }, - { - "label": "binary_rf_oracle.py", - "file_type": "code", - "source_file": "scripts/binary_rf_oracle.py", - "source_location": "L1", - "id": "scripts_binary_rf_oracle_py", - "community": 1, - "norm_label": "binary_rf_oracle.py" - }, - { - "label": "load()", - "file_type": "code", - "source_file": "scripts/binary_rf_oracle.py", - "source_location": "L31", - "id": "binary_rf_oracle_load", - "community": 1, - "norm_label": "load()" - }, - { - "label": "normalize()", - "file_type": "code", - "source_file": "scripts/binary_rf_oracle.py", - "source_location": "L45", - "id": "binary_rf_oracle_normalize", - "community": 1, - "norm_label": "normalize()" - }, - { - "label": "rf()", - "file_type": "code", - "source_file": "scripts/binary_rf_oracle.py", - "source_location": "L56", - "id": "binary_rf_oracle_rf", - "community": 1, - "norm_label": "rf()" - }, - { - "label": "analyze()", - "file_type": "code", - "source_file": "scripts/binary_rf_oracle.py", - "source_location": "L60", - "id": "binary_rf_oracle_analyze", - "community": 1, - "norm_label": "analyze()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/binary_rf_oracle.py", - "source_location": "L97", - "id": "binary_rf_oracle_main", - "community": 1, - "norm_label": "main()" - }, - { - "label": "binary_rf_oracle.py ------------------- Fast separability oracle for the BINARY", - "file_type": "rationale", - "source_file": "scripts/binary_rf_oracle.py", - "source_location": "L1", - "community": 1, - "norm_label": "binary_rf_oracle.py ------------------- fast separability oracle for the binary", - "id": "binary_rf_oracle_rationale_1" - }, - { - "label": "train_all_rats.py", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L1", - "id": "scripts_train_all_rats_py", - "community": 8, - "norm_label": "train_all_rats.py" - }, - { - "label": "Config", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L60", - "id": "train_all_rats_config", - "community": 8, - "norm_label": "config" - }, - { - "label": "load()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L75", - "id": "train_all_rats_load", - "community": 8, - "norm_label": "load()" - }, - { - "label": "EscapeNet", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L84", - "id": "train_all_rats_escapenet", - "community": 0, - "norm_label": "escapenet" - }, - { - "label": ".__init__()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L87", - "id": "train_all_rats_escapenet_init", - "community": 0, - "norm_label": ".__init__()" - }, - { - "label": ".forward()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L98", - "id": "train_all_rats_escapenet_forward", - "community": 0, - "norm_label": ".forward()" - }, - { - "label": "available_rats()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L105", - "id": "train_all_rats_available_rats", - "community": 8, - "norm_label": "available_rats()" - }, - { - "label": "build_rat()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L117", - "id": "train_all_rats_build_rat", - "community": 8, - "norm_label": "build_rat()" - }, - { - "label": "fit_normalizer()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L146", - "id": "train_all_rats_fit_normalizer", - "community": 8, - "norm_label": "fit_normalizer()" - }, - { - "label": "augment()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L159", - "id": "train_all_rats_augment", - "community": 8, - "norm_label": "augment()" - }, - { - "label": "_predict()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L181", - "id": "train_all_rats_predict", - "community": 3, - "norm_label": "_predict()" - }, - { - "label": "train_fold()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L191", - "id": "train_all_rats_train_fold", - "community": 3, - "norm_label": "train_fold()" - }, - { - "label": "train_rat()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L229", - "id": "train_all_rats_train_rat", - "community": 8, - "norm_label": "train_rat()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/train_all_rats.py", - "source_location": "L259", - "id": "train_all_rats_main", - "community": 8, - "norm_label": "main()" - }, - { - "label": "train_all_rats.py ================= Per-rat ESCAPE-NET training across every rat", - "file_type": "rationale", - "source_file": "scripts/train_all_rats.py", - "source_location": "L1", - "community": 8, - "norm_label": "train_all_rats.py ================= per-rat escape-net training across every rat", - "id": "train_all_rats_rationale_1" - }, - { - "label": "Conv(8x8)->Pool->Conv(4x4)->Pool->Conv(2x2)->FC256->FC3, 'same' padding.", - "file_type": "rationale", - "source_file": "scripts/train_all_rats.py", - "source_location": "L85", - "community": 0, - "norm_label": "conv(8x8)->pool->conv(4x4)->pool->conv(2x2)->fc256->fc3, 'same' padding.", - "id": "train_all_rats_rationale_85" - }, - { - "label": "Every RATxx that has at least one .rhd in all three class folders.", - "file_type": "rationale", - "source_file": "scripts/train_all_rats.py", - "source_location": "L106", - "community": 8, - "norm_label": "every ratxx that has at least one .rhd in all three class folders.", - "id": "train_all_rats_rationale_106" - }, - { - "label": "Extract signed signatures for one rat. Returns (X[N,56,100], y[N], groups[N]).", - "file_type": "rationale", - "source_file": "scripts/train_all_rats.py", - "source_location": "L118", - "community": 8, - "norm_label": "extract signed signatures for one rat. returns (x[n,56,100], y[n], groups[n]).", - "id": "train_all_rats_rationale_118" - }, - { - "label": "Paper augmentation: class-mean template + Gaussian noise fit to residuals.", - "file_type": "rationale", - "source_file": "scripts/train_all_rats.py", - "source_location": "L160", - "community": 8, - "norm_label": "paper augmentation: class-mean template + gaussian noise fit to residuals.", - "id": "train_all_rats_rationale_160" - }, - { - "label": "Train one ESCAPE-NET; early-stop on a 10% val carve-out. Returns (acc, f1).", - "file_type": "rationale", - "source_file": "scripts/train_all_rats.py", - "source_location": "L192", - "community": 3, - "norm_label": "train one escape-net; early-stop on a 10% val carve-out. returns (acc, f1).", - "id": "train_all_rats_rationale_192" - }, - { - "label": "stream.py", - "file_type": "code", - "source_file": "scripts/stream.py", - "source_location": "L1", - "id": "scripts_stream_py", - "community": 9, - "norm_label": "stream.py" - }, - { - "label": "read_qstring()", - "file_type": "code", - "source_file": "scripts/stream.py", - "source_location": "L61", - "id": "stream_read_qstring", - "community": 9, - "norm_label": "read_qstring()" - }, - { - "label": "parse_rhd_header()", - "file_type": "code", - "source_file": "scripts/stream.py", - "source_location": "L80", - "id": "stream_parse_rhd_header", - "community": 9, - "norm_label": "parse_rhd_header()" - }, - { - "label": "iter_samples()", - "file_type": "code", - "source_file": "scripts/stream.py", - "source_location": "L202", - "id": "stream_iter_samples", - "community": 9, - "norm_label": "iter_samples()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/stream.py", - "source_location": "L274", - "id": "stream_main", - "community": 9, - "norm_label": "main()" - }, - { - "label": "stream.py --------- Reads nerve EEG data from an Intan .rhd file and streams it", - "file_type": "rationale", - "source_file": "scripts/stream.py", - "source_location": "L1", - "community": 9, - "norm_label": "stream.py --------- reads nerve eeg data from an intan .rhd file and streams it", - "id": "stream_rationale_1" - }, - { - "label": "Read a Qt-style QString from the file. Format: 4-byte length (uint32, little", - "file_type": "rationale", - "source_file": "scripts/stream.py", - "source_location": "L62", - "community": 9, - "norm_label": "read a qt-style qstring from the file. format: 4-byte length (uint32, little", - "id": "stream_rationale_62" - }, - { - "label": "Parse the binary header of an Intan .rhd file. Returns a dict with: -", - "file_type": "rationale", - "source_file": "scripts/stream.py", - "source_location": "L81", - "community": 9, - "norm_label": "parse the binary header of an intan .rhd file. returns a dict with: -", - "id": "stream_rationale_81" - }, - { - "label": "Generator that reads one data block at a time and yields individual voltage", - "file_type": "rationale", - "source_file": "scripts/stream.py", - "source_location": "L203", - "community": 9, - "norm_label": "generator that reads one data block at a time and yields individual voltage", - "id": "stream_rationale_203" - }, - { - "label": "burst_gate.py", - "file_type": "code", - "source_file": "scripts/burst_gate.py", - "source_location": "L1", - "id": "scripts_burst_gate_py", - "community": 4, - "norm_label": "burst_gate.py" - }, - { - "label": "extract_with_times()", - "file_type": "code", - "source_file": "scripts/burst_gate.py", - "source_location": "L40", - "id": "burst_gate_extract_with_times", - "community": 4, - "norm_label": "extract_with_times()" - }, - { - "label": "local_rate()", - "file_type": "code", - "source_file": "scripts/burst_gate.py", - "source_location": "L53", - "id": "burst_gate_local_rate", - "community": 4, - "norm_label": "local_rate()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/burst_gate.py", - "source_location": "L63", - "id": "burst_gate_main", - "community": 4, - "norm_label": "main()" - }, - { - "label": "burst_gate.py ------------- Data-driven proxy for the paper's stimulus-timing la", - "file_type": "rationale", - "source_file": "scripts/burst_gate.py", - "source_location": "L1", - "id": "burst_gate_rationale_1", - "community": 4, - "norm_label": "burst_gate.py ------------- data-driven proxy for the paper's stimulus-timing la" - }, - { - "label": "Same detection as extract_v2.extract (signed), but also return peak times.", - "file_type": "rationale", - "source_file": "scripts/burst_gate.py", - "source_location": "L41", - "id": "burst_gate_rationale_41", - "community": 4, - "norm_label": "same detection as extract_v2.extract (signed), but also return peak times." - }, - { - "label": "Peaks within +/- `window` seconds of each peak, as a rate (per second).", - "file_type": "rationale", - "source_file": "scripts/burst_gate.py", - "source_location": "L54", - "id": "burst_gate_rationale_54", - "community": 4, - "norm_label": "peaks within +/- `window` seconds of each peak, as a rate (per second)." - }, - { - "label": "binary_cnn.py", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L1", - "id": "scripts_binary_cnn_py", - "community": 5, - "norm_label": "binary_cnn.py" - }, - { - "label": "_pick_device()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L34", - "id": "binary_cnn_pick_device", - "community": 5, - "norm_label": "_pick_device()" - }, - { - "label": "EscapeNet", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L49", - "id": "binary_cnn_escapenet", - "community": 0, - "norm_label": "escapenet" - }, - { - "label": ".__init__()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L51", - "id": "binary_cnn_escapenet_init", - "community": 0, - "norm_label": ".__init__()" - }, - { - "label": ".forward()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L61", - "id": "binary_cnn_escapenet_forward", - "community": 0, - "norm_label": ".forward()" - }, - { - "label": "_build_cache()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L65", - "id": "binary_cnn_build_cache", - "community": 5, - "norm_label": "_build_cache()" - }, - { - "label": "load()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L97", - "id": "binary_cnn_load", - "community": 5, - "norm_label": "load()" - }, - { - "label": "fit_norm()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L111", - "id": "binary_cnn_fit_norm", - "community": 5, - "norm_label": "fit_norm()" - }, - { - "label": "augment_sub()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L124", - "id": "binary_cnn_augment_sub", - "community": 5, - "norm_label": "augment_sub()" - }, - { - "label": "_predict()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L143", - "id": "binary_cnn_predict", - "community": 1, - "norm_label": "_predict()" - }, - { - "label": "train_one()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L154", - "id": "binary_cnn_train_one", - "community": 3, - "norm_label": "train_one()" - }, - { - "label": "run_rat()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L180", - "id": "binary_cnn_run_rat", - "community": 5, - "norm_label": "run_rat()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/binary_cnn.py", - "source_location": "L258", - "id": "binary_cnn_main", - "community": 5, - "norm_label": "main()" - }, - { - "label": "binary_cnn.py ------------- Binary pricking-vs-rest ESCAPE-NET (paper architectu", - "file_type": "rationale", - "source_file": "scripts/binary_cnn.py", - "source_location": "L1", - "community": 5, - "norm_label": "binary_cnn.py ------------- binary pricking-vs-rest escape-net (paper architectu", - "id": "binary_cnn_rationale_1" - }, - { - "label": "Paper ESCAPE-NET, binary head.", - "file_type": "rationale", - "source_file": "scripts/binary_cnn.py", - "source_location": "L50", - "community": 0, - "norm_label": "paper escape-net, binary head.", - "id": "binary_cnn_rationale_50" - }, - { - "label": "One-time extraction of signed 56x100 signatures from raw .rhd (same pipeline", - "file_type": "rationale", - "source_file": "scripts/binary_cnn.py", - "source_location": "L66", - "community": 5, - "norm_label": "one-time extraction of signed 56x100 signatures from raw .rhd (same pipeline", - "id": "binary_cnn_rationale_66" - }, - { - "label": "Paper augmentation on ORIGINAL sub-classes; returns binary labels. Keeps syn", - "file_type": "rationale", - "source_file": "scripts/binary_cnn.py", - "source_location": "L125", - "community": 5, - "norm_label": "paper augmentation on original sub-classes; returns binary labels. keeps syn", - "id": "binary_cnn_rationale_125" - }, - { - "label": "binary_diag.py", - "file_type": "code", - "source_file": "scripts/binary_diag.py", - "source_location": "L1", - "id": "scripts_binary_diag_py", - "community": 6, - "norm_label": "binary_diag.py" - }, - { - "label": "load()", - "file_type": "code", - "source_file": "scripts/binary_diag.py", - "source_location": "L29", - "id": "binary_diag_load", - "community": 6, - "norm_label": "load()" - }, - { - "label": "leave_one_file_out()", - "file_type": "code", - "source_file": "scripts/binary_diag.py", - "source_location": "L35", - "id": "binary_diag_leave_one_file_out", - "community": 6, - "norm_label": "leave_one_file_out()" - }, - { - "label": "file_mean_similarity()", - "file_type": "code", - "source_file": "scripts/binary_diag.py", - "source_location": "L58", - "id": "binary_diag_file_mean_similarity", - "community": 6, - "norm_label": "file_mean_similarity()" - }, - { - "label": "amplitude_confound()", - "file_type": "code", - "source_file": "scripts/binary_diag.py", - "source_location": "L83", - "id": "binary_diag_amplitude_confound", - "community": 6, - "norm_label": "amplitude_confound()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/binary_diag.py", - "source_location": "L99", - "id": "binary_diag_main", - "community": 6, - "norm_label": "main()" - }, - { - "label": "binary_diag.py -------------- Root-cause diagnostics for the binary prick-vs-res", - "file_type": "rationale", - "source_file": "scripts/binary_diag.py", - "source_location": "L1", - "community": 6, - "norm_label": "binary_diag.py -------------- root-cause diagnostics for the binary prick-vs-res", - "id": "binary_diag_rationale_1" - }, - { - "label": "cnn_torch.py", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L1", - "id": "scripts_cnn_torch_py", - "community": 6, - "norm_label": "cnn_torch.py" - }, - { - "label": "EscapeNet", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L29", - "id": "cnn_torch_escapenet", - "community": 0, - "norm_label": "escapenet" - }, - { - "label": ".__init__()", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L31", - "id": "cnn_torch_escapenet_init", - "community": 0, - "norm_label": ".__init__()" - }, - { - "label": ".forward()", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L40", - "id": "cnn_torch_escapenet_forward", - "community": 0, - "norm_label": ".forward()" - }, - { - "label": "standardize()", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L44", - "id": "cnn_torch_standardize", - "community": 6, - "norm_label": "standardize()" - }, - { - "label": "augment()", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L55", - "id": "cnn_torch_augment", - "community": 6, - "norm_label": "augment()" - }, - { - "label": "run()", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L68", - "id": "cnn_torch_run", - "community": 6, - "norm_label": "run()" - }, - { - "label": "train_eval()", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L77", - "id": "cnn_torch_train_eval", - "community": 6, - "norm_label": "train_eval()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/cnn_torch.py", - "source_location": "L112", - "id": "cnn_torch_main", - "community": 6, - "norm_label": "main()" - }, - { - "label": "cnn_torch.py ------------ The real test: train ESCAPE-NET (paper architecture) o", - "file_type": "rationale", - "source_file": "scripts/cnn_torch.py", - "source_location": "L1", - "community": 6, - "norm_label": "cnn_torch.py ------------ the real test: train escape-net (paper architecture) o", - "id": "cnn_torch_rationale_1" - }, - { - "label": "Paper ESCAPE-NET: 3 conv(same)+ReLU, 2 maxpool(2x2 s2), FC256, FC3.", - "file_type": "rationale", - "source_file": "scripts/cnn_torch.py", - "source_location": "L30", - "community": 0, - "norm_label": "paper escape-net: 3 conv(same)+relu, 2 maxpool(2x2 s2), fc256, fc3.", - "id": "cnn_torch_rationale_30" - }, - { - "label": "mode: image=per-image z-score (default); global=single dataset z-score (pape", - "file_type": "rationale", - "source_file": "scripts/cnn_torch.py", - "source_location": "L45", - "community": 6, - "norm_label": "mode: image=per-image z-score (default); global=single dataset z-score (pape", - "id": "cnn_torch_rationale_45" - }, - { - "label": "stream_signatures.py", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L1", - "id": "scripts_stream_signatures_py", - "community": 2, - "norm_label": "stream_signatures.py" - }, - { - "label": "downsample_normalise()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L82", - "id": "stream_signatures_downsample_normalise", - "community": 2, - "norm_label": "downsample_normalise()" - }, - { - "label": "send_train_sample()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L101", - "id": "stream_signatures_send_train_sample", - "community": 2, - "norm_label": "send_train_sample()" - }, - { - "label": "send_infer_sample()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L129", - "id": "stream_signatures_send_infer_sample", - "community": 2, - "norm_label": "send_infer_sample()" - }, - { - "label": "send_train_with_retry()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L142", - "id": "stream_signatures_send_train_with_retry", - "community": 2, - "norm_label": "send_train_with_retry()" - }, - { - "label": "send_infer_with_retry()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L153", - "id": "stream_signatures_send_infer_with_retry", - "community": 2, - "norm_label": "send_infer_with_retry()" - }, - { - "label": "drain_text()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L169", - "id": "stream_signatures_drain_text", - "community": 2, - "norm_label": "drain_text()" - }, - { - "label": "load_and_split()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L198", - "id": "stream_signatures_load_and_split", - "community": 6, - "norm_label": "load_and_split()" - }, - { - "label": "open_serial()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L265", - "id": "stream_signatures_open_serial", - "community": 2, - "norm_label": "open_serial()" - }, - { - "label": "train()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L293", - "id": "stream_signatures_train", - "community": 2, - "norm_label": "train()" - }, - { - "label": "_sig_to_rf_features()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L349", - "id": "stream_signatures_sig_to_rf_features", - "community": 2, - "norm_label": "_sig_to_rf_features()" - }, - { - "label": "train_random_forest()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L363", - "id": "stream_signatures_train_random_forest", - "community": 1, - "norm_label": "train_random_forest()" - }, - { - "label": "test()", - "file_type": "code", - "source_file": "scripts/stream_signatures.py", - "source_location": "L377", - "id": "stream_signatures_test", - "community": 2, - "norm_label": "test()" - }, - { - "label": "stream_signatures.py -------------------- Streams extracted CAP signatures to th", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L1", - "community": 2, - "norm_label": "stream_signatures.py -------------------- streams extracted cap signatures to th", - "id": "stream_signatures_rationale_1" - }, - { - "label": "56\u00d7100 int16 \u2192 28\u00d750 uint8 via 2\u00d72 block average + per-signature min-max nor", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L83", - "community": 2, - "norm_label": "56\u00d7100 int16 \u2192 28\u00d750 uint8 via 2\u00d72 block average + per-signature min-max nor", - "id": "stream_signatures_rationale_83" - }, - { - "label": "Send [0xFE][label][1400 bytes], then wait for a 0xFF ACK. Any text lines pr", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L102", - "community": 2, - "norm_label": "send [0xfe][label][1400 bytes], then wait for a 0xff ack. any text lines pr", - "id": "stream_signatures_rationale_102" - }, - { - "label": "Send [0xFE][255][1400 bytes] and read back 3 probability bytes. Returns byte", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L130", - "community": 2, - "norm_label": "send [0xfe][255][1400 bytes] and read back 3 probability bytes. returns byte", - "id": "stream_signatures_rationale_130" - }, - { - "label": "Send a training sample, retrying after a resync if no ACK received. Returns", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L143", - "community": 2, - "norm_label": "send a training sample, retrying after a resync if no ack received. returns", - "id": "stream_signatures_rationale_143" - }, - { - "label": "Send an inference sample, retrying after a resync if no response. Returns (r", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L154", - "community": 2, - "norm_label": "send an inference sample, retrying after a resync if no response. returns (r", - "id": "stream_signatures_rationale_154" - }, - { - "label": "Read any text lines the Arduino has printed (loss/accuracy updates etc.) and", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L170", - "community": 2, - "norm_label": "read any text lines the arduino has printed (loss/accuracy updates etc.) and", - "id": "stream_signatures_rationale_170" - }, - { - "label": "Load signatures, shuffle with a fixed seed, then split into train/test sets.", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L199", - "community": 6, - "norm_label": "load signatures, shuffle with a fixed seed, then split into train/test sets.", - "id": "stream_signatures_rationale_199" - }, - { - "label": "Open the serial port and optionally wait for the Arduino to boot.", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L266", - "community": 2, - "norm_label": "open the serial port and optionally wait for the arduino to boot.", - "id": "stream_signatures_rationale_266" - }, - { - "label": "Stream training signatures to the Arduino over multiple epochs, printing liv", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L294", - "community": 2, - "norm_label": "stream training signatures to the arduino over multiple epochs, printing liv", - "id": "stream_signatures_rationale_294" - }, - { - "label": "Mirror the downsample_normalise preprocessing so RF and CNN see the same rep", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L350", - "community": 2, - "norm_label": "mirror the downsample_normalise preprocessing so rf and cnn see the same rep", - "id": "stream_signatures_rationale_350" - }, - { - "label": "Train a Random Forest on the same features the CNN sees. Returns the fitted mode", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L364", - "community": 1, - "norm_label": "train a random forest on the same features the cnn sees. returns the fitted mode", - "id": "stream_signatures_rationale_364" - }, - { - "label": "Stream test signatures to the Arduino for inference and report accuracy. Th", - "file_type": "rationale", - "source_file": "scripts/stream_signatures.py", - "source_location": "L378", - "community": 2, - "norm_label": "stream test signatures to the arduino for inference and report accuracy. th", - "id": "stream_signatures_rationale_378" - }, - { - "label": "diag_extraction.py", - "file_type": "code", - "source_file": "scripts/diag_extraction.py", - "source_location": "L1", - "id": "scripts_diag_extraction_py", - "community": 4, - "norm_label": "diag_extraction.py" - }, - { - "label": "pipeline()", - "file_type": "code", - "source_file": "scripts/diag_extraction.py", - "source_location": "L17", - "id": "diag_extraction_pipeline", - "community": 4, - "norm_label": "pipeline()" - }, - { - "label": "detect()", - "file_type": "code", - "source_file": "scripts/diag_extraction.py", - "source_location": "L32", - "id": "diag_extraction_detect", - "community": 4, - "norm_label": "detect()" - }, - { - "label": "process_file()", - "file_type": "code", - "source_file": "scripts/diag_extraction.py", - "source_location": "L40", - "id": "diag_extraction_process_file", - "community": 4, - "norm_label": "process_file()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/diag_extraction.py", - "source_location": "L66", - "id": "diag_extraction_main", - "community": 4, - "norm_label": "main()" - }, - { - "label": "diag_extraction.py ------------------ Diagnostic: process the real RHD files wit", - "file_type": "rationale", - "source_file": "scripts/diag_extraction.py", - "source_location": "L1", - "community": 4, - "norm_label": "diag_extraction.py ------------------ diagnostic: process the real rhd files wit", - "id": "diag_extraction_rationale_1" - }, - { - "label": "diag4_angle_gated.py", - "file_type": "code", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L1", - "id": "scripts_diag4_angle_gated_py", - "community": 12, - "norm_label": "diag4_angle_gated.py" - }, - { - "label": "feat()", - "file_type": "code", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L31", - "id": "diag4_angle_gated_feat", - "community": 12, - "norm_label": "feat()" - }, - { - "label": "rf_bin()", - "file_type": "code", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L36", - "id": "diag4_angle_gated_rf_bin", - "community": 12, - "norm_label": "rf_bin()" - }, - { - "label": "detect_signed()", - "file_type": "code", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L43", - "id": "diag4_angle_gated_detect_signed", - "community": 12, - "norm_label": "detect_signed()" - }, - { - "label": "build_alternating()", - "file_type": "code", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L49", - "id": "diag4_angle_gated_build_alternating", - "community": 12, - "norm_label": "build_alternating()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L90", - "id": "diag4_angle_gated_main", - "community": 12, - "norm_label": "main()" - }, - { - "label": "diag4_angle_gated.py -------------------- Test the LABEL-NOISE hypothesis with t", - "file_type": "rationale", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L1", - "community": 12, - "norm_label": "diag4_angle_gated.py -------------------- test the label-noise hypothesis with t", - "id": "diag4_angle_gated_rationale_1" - }, - { - "label": "Concatenate the 7 alternating files, detect CAPs, label by angular-velocity sign", - "file_type": "rationale", - "source_file": "scripts/diag4_angle_gated.py", - "source_location": "L50", - "community": 12, - "norm_label": "concatenate the 7 alternating files, detect caps, label by angular-velocity sign", - "id": "diag4_angle_gated_rationale_50" - }, - { - "label": "preprocess_and_extract.py", - "file_type": "code", - "source_file": "scripts/preprocess_and_extract.py", - "source_location": "L1", - "id": "scripts_preprocess_and_extract_py", - "community": 4, - "norm_label": "preprocess_and_extract.py" - }, - { - "label": "read_qstring()", - "file_type": "code", - "source_file": "scripts/preprocess_and_extract.py", - "source_location": "L44", - "id": "preprocess_and_extract_read_qstring", - "community": 4, - "norm_label": "read_qstring()" - }, - { - "label": "parse_rhd_header()", - "file_type": "code", - "source_file": "scripts/preprocess_and_extract.py", - "source_location": "L59", - "id": "preprocess_and_extract_parse_rhd_header", - "community": 4, - "norm_label": "parse_rhd_header()" - }, - { - "label": "read_rhd_all_channels()", - "file_type": "code", - "source_file": "scripts/preprocess_and_extract.py", - "source_location": "L155", - "id": "preprocess_and_extract_read_rhd_all_channels", - "community": 4, - "norm_label": "read_rhd_all_channels()" - }, - { - "label": "preprocess_and_extract_signatures()", - "file_type": "code", - "source_file": "scripts/preprocess_and_extract.py", - "source_location": "L229", - "id": "preprocess_and_extract_preprocess_and_extract_signatures", - "community": 4, - "norm_label": "preprocess_and_extract_signatures()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "scripts/preprocess_and_extract.py", - "source_location": "L326", - "id": "preprocess_and_extract_main", - "community": 4, - "norm_label": "main()" - }, - { - "label": "preprocess_and_extract.py -------------------------- Reads nerve EEG data from I", - "file_type": "rationale", - "source_file": "scripts/preprocess_and_extract.py", - "source_location": "L1", - "community": 4, - "norm_label": "preprocess_and_extract.py -------------------------- reads nerve eeg data from i", - "id": "preprocess_and_extract_rationale_1" - }, - { - "label": "Read a Qt-style QString from the file. 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