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CRQ-43-crq-010-dynamic-information-flow.md

Change Request: crq 010 dynamic information flow

Change Request (CRQ)

Title: Dynamic Information Flow and Influence Modeling (Inspired by Navier-Stokes & Multivector Concepts)

Description:
This change requests the development of an advanced analytical framework and tooling to model the dynamic flow and influence of information, ideas, and tasks ("memes") within the project's strategic direction (the "eigenvector"). Drawing inspiration from complex systems like Navier-Stokes flow and multivector concepts, this initiative aims to understand how various project elements propagate, interact, and transform across different dimensions (technical, business, social, historical). The goal is to move beyond static dependency mapping to a dynamic understanding of project momentum, identifying key influencers, bottlenecks, and emergent properties in the flow of work and knowledge.

Justification/Business Value:

  • Predictive Analytics: Potentially enables prediction of project trajectory, identifying areas of acceleration or stagnation.
  • Optimized Communication & Collaboration: By understanding information flow, communication channels can be optimized.
  • Early Warning System: Detects subtle shifts or resistances in project momentum.
  • Deeper Strategic Insights: Provides a nuanced understanding of how individual contributions coalesce into the overall strategic movement.

Scope:

  • Included:
    • Conceptual modeling of "memes" as multi-dimensional entities.
    • Development of metrics for measuring "flow" and "influence."
    • Analysis of communication channels, decision points, and task dependencies as conduits for flow.
    • Potential use of advanced data science techniques (e.g., network analysis, time-series analysis).
  • Excluded:
    • Literal simulation of fluid dynamics or geometric algebra.
    • Philosophical or abstract interpretations beyond their direct application to project dynamics.

Impact:

  • Positive: Leads to significantly deeper strategic insights and potentially transformative improvements in project management.
  • Negative: Requires extremely high intellectual and development effort, highly specialized expertise, and may have a long time-to-value.

Dependencies:

  • A fully functional Project Context Introspector (CRQ-003) as the primary data source.
  • Expertise in complex systems modeling, data science, and potentially advanced mathematics.

Effort/Timeline:

  • Estimated Effort: Extremely High. This is a research-heavy, highly complex, and innovative task.
  • Estimated Timeline: Long-term, highly iterative. To be determined after a detailed conceptual design and feasibility study.

Verification:

  • The developed models accurately represent observed project dynamics.
  • Insights generated lead to actionable improvements in project flow and strategic alignment.
  • The framework is extensible and adaptable to evolving project needs.

PR Type

Enhancement


Description

• Implemented comprehensive Lattice Idea Framework for dynamic information flow analysis and modeling
• Created multiple Rust applications and libraries for lattice-based classification, code generation, and repository analysis
• Added Git submodule collection and analysis tools with JSON reporting capabilities
• Developed predicate-based text analysis and n-gram processing systems
• Enhanced development environment with Nix flake improvements, valgrind support, and comprehensive tooling
• Added extensive GitHub CLI wrapper scripts for workflow automation
• Created structured testing framework documentation and scalable analysis methodologies
• Implemented meta-lattice models for framework self-analysis and similarity detection
• Added comprehensive test coverage and benchmarking infrastructure


Diagram Walkthrough

flowchart LR
  A["Lattice Framework Core"] --> B["Code Generation"]
  A --> C["Classification Systems"]
  A --> D["Repository Analysis"]
  B --> E["Generated Structures"]
  C --> F["Predicate Analysis"]
  D --> G["Submodule Collection"]
  F --> H["Text Processing"]
  G --> I["JSON Reports"]
  J["Development Tools"] --> K["Nix Environment"]
  J --> L["GitHub Scripts"]
  M["Documentation"] --> N["Testing Framework"]
  M --> O["Analysis Methodologies"]
Loading

File Walkthrough

Relevant files
Configuration changes
3 files
flake.nix
Enhanced Nix flake with submodule-collector package and development
tools

flake.nix

• Removed empty line at the beginning of the file
• Added new
submodule-collector package derivation with Rust build configuration

Added development tools including jq, valgrind, and various Emacs
packages for Rust development
• Added shell formatting and linting
tools (shellcheck, shfmt, nixpkgs-fmt)

+34/-1   
shell.nix
Added valgrind to development shell dependencies                 

shell.nix

• Added pkgs.valgrind to the buildInputs for memory profiling
capabilities

+1/-1     
submodule_report.json
Complete submodule repository mapping and dependency report

submodule_report.json

• Added comprehensive JSON report mapping 2021 repositories with their
paths, URLs, and submodule structures
• Includes detailed submodule
hierarchies for complex projects like lattice-introspector,
minizinc-introspector, and git-submodule-tools-rs
• Documents
extensive dependency relationships across meta-introspector ecosystem
projects

+2021/-0
Enhancement
56 files
lib.rs
Lattice framework code generation library implementation 

lattice_code_generator/src/lib.rs

• Implemented comprehensive code generation utilities for the Lattice
Idea Framework
• Added functions to generate ValueType enum, Instance
struct, LatticeLayer struct, and Lattice struct
• Included trait
definitions and implementations for HasValueCount
• Added extensive
test coverage for the generated code validation

+296/-0 
main.rs
Git submodule collector tool implementation                           

submodule-collector/src/main.rs

• Implemented command-line tool for scanning Git repositories and
submodules recursively
• Added comprehensive data structures for
repository and submodule information
• Included error handling and
JSON report generation functionality
• Processes nested submodules
with detailed metadata collection

+279/-0 
main.rs
Project file lattice classification system                             

project_file_lattice_builder/src/main.rs

• Created conceptual lattice builder for project files classification

• Implemented predicate-based file analysis using word predicates

Added file classification into lattice hierarchy based on content and
path
• Included comprehensive test coverage for predicate extraction
logic

+202/-0 
lattice_mapper_app.rs
Lattice-based code mapping and similarity analysis             

src/lattice_mapper_app.rs

• Implemented lattice mapping application for code similarity analysis

• Added predicate-based classification logic for existing code

Created conceptual framework for mapping code into pre-generated
lattice structures
• Included similarity scoring based on shared
predicates

+209/-0 
lattice_types.rs
Core lattice type system implementation                                   

src/lattice_types.rs

• Defined comprehensive type system for the Lattice Idea Framework

Implemented ValueType enum with support for different k-value types

Added generic Instance, LatticeLayer, and Lattice structures

Included trait definitions and demonstration usage examples

+196/-0 
repo_search_simulator.rs
Repository search simulation with lattice classification 

src/repo_search_simulator.rs

• Created repository search simulation using predicate-based
classification
• Implemented mock repository analysis with similarity
scoring
• Added lattice-based representation of classified
repositories
• Included search-by-example functionality demonstration

+202/-0 
meta_lattice_model.rs
Meta-lattice model for framework self-analysis                     

src/meta_lattice_model.rs

• Implemented self-referential meta-model of the Lattice Idea
Framework
• Added conceptual analysis and similarity detection
capabilities
• Created framework for comparing different lattice
models
• Included demonstration of meta-modeling concepts

+153/-0 
analyze_strings.rs
Advanced string analysis with n-gram processing                   

report-analyzer-rs/src/analyze_strings.rs

• Implemented comprehensive string analysis with token frequency
counting
• Added n-gram generation and analysis with iterative
compression
• Included emoji ontology integration for token
visualization
• Added suggested rules generation based on analysis
results

+171/-0 
lattice_classifier_app.rs
Lattice classification application for text analysis         

src/lattice_classifier_app.rs

• Created lattice-based classification application for text snippets

Implemented predicate extraction and word-based classification
• Added
conceptual lattice representation for classified items
• Included
search-by-example demonstration functionality

+188/-0 
lib.rs
Git project information reader library                                     

git_project_reader/src/lib.rs

• Implemented Git project information collection library
• Added
functions to retrieve tracked files and git status
• Included
comprehensive error handling and test coverage
• Created data
structures for Git project metadata

+174/-0 
grand_unified_search.rs
Grand unified search system conceptual framework                 

src/grand_unified_search.rs

• Created conceptual outline for grand unified search system
• Added
placeholder implementations for code parsing and LLM interaction

Included submodule tool integration concepts
• Implemented
self-analysis and similarity detection framework

+148/-0 
lattice_model.rs
Core lattice model type definitions                                           

src/lattice_model.rs

• Implemented core lattice model with ValueType enum and trait
definitions
• Added Instance, LatticeLayer, and Lattice structures

Included WordPredicate and PredicateClassifier for text analysis

Created foundational types for the lattice framework

+136/-0 
word_predicate_analyzer.rs
Word predicate analyzer with lattice integration                 

src/word_predicate_analyzer.rs

• Implemented word predicate analysis using lattice type definitions

Added text tokenization and vocabulary-based predicate extraction

Included n-gram generation for predicate sequences
• Created
demonstration of lattice-based text analysis

+95/-0   
main.rs
Lattice structure generator for code organization               

lattice_structure_generator/src/main.rs

• Created lattice structure generator for hierarchical code
organization
• Implemented directory structure generation based on
lattice parameters
• Added conceptual mapping framework for existing
code classification
• Included file generation utilities for lattice
components

+82/-0   
lib.rs
ZOS lattice builder integration in main library                   

src/lib.rs

• Added build_zos_lattice function for project file classification

Integrated lattice model with predicate-based file analysis

Implemented multi-layer lattice construction for different file types

• Added comprehensive file classification logic

+78/-0   
main.rs
Lattice code generator application                                             

lattice_generator_app/src/main.rs

• Created application for generating lattice code structures

Implemented file generation for all lattice components
• Added
organized output directory structure for generated code
• Included
comprehensive code generation pipeline

+56/-0   
analyze_names.rs
Repository name analysis functionality                                     

report-analyzer-rs/src/analyze_names.rs

• Implemented name analysis functionality for repository reports

Added regex-based repository name extraction from URLs
• Included
submodule name collection and frequency counting
• Created
comprehensive name analysis for Git repositories

+30/-0   
main.rs
Main entry point for report analyzer application                 

report-analyzer-rs/src/main.rs

• Creates main entry point for report analyzer with command-line
argument parsing
• Implements basic report loading and statistics
display functionality
• Comments out missing function calls and
integrates with analyze_strings module

+50/-0   
program_self_description.rs
Self-describing program with predicate-based framework     

src/program_self_description.rs

• Implements self-describing program demonstrating predicate-based
analysis
• Contains functions for self-description and finding similar
programs
• Demonstrates meta-assertion about program's
self-referential capacity

+37/-0   
lcp.rs
Longest common prefix analysis implementation                       

report-analyzer-rs/src/lcp.rs

• Implements longest common prefix analysis for repository paths and
URLs
• Provides functions to find LCP and perform analysis on report
data
• Includes printing functionality for LCP results

+51/-0   
types.rs
Core data structures and CLI argument definitions               

report-analyzer-rs/src/types.rs

• Defines core data structures for submodule reporting system

Implements serializable structs for repository info, failed repos, and
reports
• Adds command-line argument parsing with clap integration

+47/-0   
value_type.rs
Generated lattice value type definitions                                 

generated_lattice_code/value_type.rs

• Defines ValueType enum with various prime-based value types

Implements methods for counting values and generating ZOS sequence

Single-line compressed format for generated lattice code

+1/-0     
value_type.rs
Generated lattice structure value type definitions             

generated_lattice_structure/value_type.rs

• Identical to generated_lattice_code version with same ValueType enum

• Provides value counting and ZOS sequence functionality
• Single-line
compressed format for generated structure code

+1/-0     
analyze_orgs.rs
GitHub organization analysis functionality                             

report-analyzer-rs/src/analyze_orgs.rs

• Implements organization analysis from GitHub URLs using regex

Extracts organization names from repository URLs and failed
repositories
• Returns frequency count of organizations found in
report data

+26/-0   
lattice_struct.rs
Generated lattice main structure definitions                         

generated_lattice_code/lattice_struct.rs

• Defines main Lattice struct with dynamic layer management

Implements trait-based layer system for polymorphic layer handling

Single-line compressed format for generated lattice structure code

+1/-0     
lattice_struct.rs
Generated lattice structure main definitions                         

generated_lattice_structure/lattice_struct.rs

• Identical to generated_lattice_code version with same Lattice struct

• Provides trait-based layer management and description functionality

• Single-line compressed format for generated structure code

+1/-0     
instance_struct.rs
Generated lattice instance structure definitions                 

generated_lattice_code/instance_struct.rs

• Defines Instance struct for representing n-gram instances in lattice

• Implements constructor and description methods for instances

Single-line compressed format for generated instance code

+1/-0     
instance_struct.rs
Generated lattice structure instance definitions                 

generated_lattice_structure/instance_struct.rs

• Identical to generated_lattice_code version with same Instance
struct
• Provides n-gram instance representation and description
functionality
• Single-line compressed format for generated structure
code

+1/-0     
lattice_layer_struct.rs
Generated lattice layer structure definitions                       

generated_lattice_code/lattice_layer_struct.rs

• Defines LatticeLayer struct for managing instances by value type

Implements layer creation, instance addition, and description methods

• Single-line compressed format for generated layer code

+1/-0     
lattice_layer_struct.rs
Generated lattice structure layer definitions                       

generated_lattice_structure/lattice_layer_struct.rs

• Identical to generated_lattice_code version with same LatticeLayer
struct
• Provides layer management and instance organization
functionality
• Single-line compressed format for generated structure
code

+1/-0     
duplicates.rs
Duplicate repository URL analysis functionality                   

report-analyzer-rs/src/duplicates.rs

• Implements duplicate URL detection and analysis for repositories

Provides functions to analyze and print duplicate repository URLs

Maps URLs to their associated paths for duplicate identification

+25/-0   
input.rs
Input handling and data loading functionality                       

report-analyzer-rs/src/input.rs

• Implements input handling for command-line arguments and data
loading
• Provides functions for parsing arguments and loading
report/ontology data
• Handles optional ontology file loading with
error handling

+22/-0   
apply_emojis.rs
Emoji ontology text transformation functionality                 

report-analyzer-rs/src/apply_emojis.rs

• Implements emoji ontology application for text transformation

Replaces text keys with corresponding emoji values from ontology

Sorts keys by length to handle overlapping replacements correctly

+18/-0   
names_analysis.rs
Repository name frequency analysis functionality                 

report-analyzer-rs/src/names_analysis.rs

• Implements repository/submodule name frequency analysis
• Sorts
names by frequency and displays top 10 with emoji ontology
• Handles
cases where no names are found in the data

+14/-0   
org_analysis.rs
Organization frequency analysis with emoji support             

report-analyzer-rs/src/org_analysis.rs

• Implements organization frequency analysis with emoji ontology
support
• Sorts organizations by frequency and displays top 10 results

• Handles cases where no organizations are found in the data

+13/-0   
instance_0.rs
Generated k=2 layer instance 0 placeholder                             

generated_lattice_structure/layer_k_2/instance_0.rs

• Placeholder file for instance 0 in k=2 layer with basic comments

Indicates future implementation for 2-value type instances
• Part of
generated lattice structure organization

+3/-0     
instance_1.rs
Generated k=2 layer instance 1 placeholder                             

generated_lattice_structure/layer_k_2/instance_1.rs

• Placeholder file for instance 1 in k=2 layer with basic comments

Indicates future implementation for 2-value type instances
• Part of
generated lattice structure organization

+3/-0     
instance_0.rs
Generated k=3 layer instance 0 placeholder                             

generated_lattice_structure/layer_k_3/instance_0.rs

• Placeholder file for instance 0 in k=3 layer with basic comments

Indicates future implementation for 3-value type instances
• Part of
generated lattice structure organization

+3/-0     
instance_1.rs
Generated k=3 layer instance 1 placeholder                             

generated_lattice_structure/layer_k_3/instance_1.rs

• Placeholder file for instance 1 in k=3 layer with basic comments

Indicates future implementation for 3-value type instances
• Part of
generated lattice structure organization

+3/-0     
has_value_count_impls.rs
Generated HasValueCount trait implementation for bool       

generated_lattice_code/has_value_count_impls.rs

• Implements HasValueCount trait for bool type returning value 2

Single-line compressed format for generated trait implementation

Provides foundation for value counting in lattice system

+1/-0     
has_value_count_impls.rs
Generated structure HasValueCount trait implementation     

generated_lattice_structure/has_value_count_impls.rs

• Identical to generated_lattice_code version with same trait
implementation
• Implements HasValueCount for bool with value count of
2
• Single-line compressed format for generated structure code

+1/-0     
has_value_count_trait.rs
Generated HasValueCount trait definition                                 

generated_lattice_code/has_value_count_trait.rs

• Defines HasValueCount trait with value_count method
• Single-line
compressed format for generated trait definition
• Core trait for
lattice value counting functionality

+1/-0     
has_value_count_trait.rs
Generated structure HasValueCount trait definition             

generated_lattice_structure/has_value_count_trait.rs

• Identical to generated_lattice_code version with same trait
definition
• Defines HasValueCount trait for value counting
functionality
• Single-line compressed format for generated structure
code

+1/-0     
standardize_and_move_crqs.sh
CRQ file standardization and organization script                 

tools/gh_scripts/standardize_and_move_crqs.sh

• Comprehensive bash script for standardizing CRQ file naming and
headers
• Implements dry-run mode and robust CRQ number calculation

Handles conforming/non-conforming filenames and headers with
sanitization

+149/-0 
create_crq_workflow.sh
Automated CRQ workflow creation script                                     

tools/gh_scripts/create_crq_workflow.sh

• Automates CRQ workflow creation including branch creation and PR
setup
• Extracts CRQ information and creates task.md files

Integrates with GitHub CLI for automated pull request creation

+79/-0   
boot.sh
Development session orchestration and crash recovery         

boot.sh

• Orchestrates tmux session recording with asciinema for development
workflow
• Implements crash recovery checks with git status and log
processing
• Configures session management and logging infrastructure

+38/-0   
gh_extract_actors.sh
GitHub actor extraction utility script                                     

tools/gh_scripts/gh_extract_actors.sh

• Extracts unique actors from GitHub issues and comments using GitHub
CLI
• Processes JSON data with jq to identify all contributors

Provides option to save actor list to file

+41/-0   
gh_workflows_view.sh
GitHub workflow run viewer script                                               

tools/gh_scripts/gh_workflows_view.sh

• Simple wrapper script for viewing GitHub Actions workflow run
details
• Validates run ID parameter and passes through to gh run view

• Part of GitHub workflow management utilities

+7/-0     
gh_workflows_rerun.sh
GitHub workflow re-run utility script                                       

tools/gh_scripts/gh_workflows_rerun.sh

• Simple wrapper script for re-running GitHub Actions workflow runs

Validates run ID parameter and passes through to gh run rerun
• Part
of GitHub workflow management utilities

+7/-0     
gh_issues_view.sh
GitHub issue viewer script                                                             

tools/gh_scripts/gh_issues_view.sh

• Simple wrapper script for viewing GitHub issue details
• Validates
issue number parameter and passes through to gh issue view
• Part of
GitHub issue management utilities

+7/-0     
gh_prs_view.sh
GitHub pull request viewer script                                               

tools/gh_scripts/gh_prs_view.sh

• Simple wrapper script for viewing GitHub pull request details

Validates PR number parameter and passes through to gh pr view
• Part
of GitHub PR management utilities

+7/-0     
gh_prs_checkout.sh
GitHub pull request checkout script                                           

tools/gh_scripts/gh_prs_checkout.sh

• Simple wrapper script for checking out GitHub pull requests locally

• Validates PR number parameter and passes through to gh pr checkout

Part of GitHub PR management utilities

+7/-0     
gh_prs_create.sh
GitHub pull request creation script                                           

tools/gh_scripts/gh_prs_create.sh

• Simple wrapper script for creating new GitHub pull requests
• Passes
all arguments through to gh pr create command
• Part of GitHub PR
management utilities

+3/-0     
gh_issues_create.sh
GitHub issue creation script                                                         

tools/gh_scripts/gh_issues_create.sh

• Simple wrapper script for creating new GitHub issues
• Passes all
arguments through to gh issue create command
• Part of GitHub issue
management utilities

+3/-0     
gh_workflows_list.sh
GitHub workflow listing script                                                     

tools/gh_scripts/gh_workflows_list.sh

• Simple wrapper script for listing GitHub Actions workflow runs

Passes all arguments through to gh run list command
• Part of GitHub
workflow management utilities

+3/-0     
gh_prs_list.sh
GitHub pull request listing script                                             

tools/gh_scripts/gh_prs_list.sh

• Simple wrapper script for listing GitHub pull requests
• Passes all
arguments through to gh pr list command
• Part of GitHub PR management
utilities

+3/-0     
Tests
5 files
git-config-parser.rs
Enhanced git config parser with comprehensive tests           

src/bin/git-config-parser.rs

• Added comprehensive test coverage for git config parsing
functionality
• Included tests for empty configs, comments, multiple
sections, and submodules
• Added validation for both basic git config
and git modules parsing

+131/-1 
my_profiling_bench.rs
Performance profiling benchmarks setup                                     

benches/my_profiling_bench.rs

• Sets up profiling benchmarks using iai_callgrind for performance
analysis
• Includes benchmarks for add function and dummy git config
parsing
• Configures benchmark groups and main entry point

+36/-0   
main_execution_test.rs
Integration test for project file lattice builder               

project_file_lattice_builder/tests/main_execution_test.rs

• Creates integration test for project file lattice builder binary
execution
• Verifies binary exists and runs successfully with expected
output
• Tests for specific output strings to validate functionality

+23/-0   
main_execution_test.rs
Integration test for submodule collector binary                   

submodule-collector/tests/main_execution_test.rs

• Creates integration test for submodule collector binary execution

Tests binary with --help flag to verify basic functionality

Validates expected help message content in output

+24/-0   
main.rs
Git repository testing application                                             

git_test_repo/src/main.rs

• Creates simple Git repository testing application using git2 crate

Attempts to open repository at current directory and reports success

Provides basic Git repository validation functionality

+10/-0   
Documentation
5 files
structured_testing_framework.md
Structured testing framework for lattice-based knowledge extraction

docs/structured_testing_framework.md

• Introduced lattice-guided test case generation methodology for
systematic knowledge extraction
• Defined predicate-driven assertions
and layered evaluation approaches
• Outlined test construction for
different lattice layers (bit-based predicates, n-gram topologies,
multi-layered complexity)
• Described automated execution and lattice
mapping analysis framework

+38/-0   
CRQ-003-deep-dive-and-reflection-on-nix-development-environment-graph.md
Deep dive analysis framework for Nix dependency graphs     

docs/crq_standardized/CRQ-003-deep-dive-and-reflection-on-nix-development-environment-graph.md

• Defined comprehensive analysis methodology for Nix development
environment dependency graphs
• Outlined systematic examination of
nodes, edges, and transitive dependencies
• Specified reflection
documentation requirements for graph structure insights
• Included
partial progress notes on devshell_graph.dot file analysis

+58/-0   
CRQ-53-recursive-decomposition.md
Recursive decomposition methodology for nested n-gram analysis

docs/crq_standardized/CRQ-53-recursive-decomposition.md

• Explained recursive decomposition concept for nested n-gram analysis
within lattice framework
• Provided examples of hierarchical breakdown
using zos prime sequence patterns
• Detailed significance for
unpacking complexity and identifying fundamental building blocks

Described cross-layer grounding and algorithmic discovery capabilities

+40/-0   
scalable_analysis_of_large_repositories.md
Scalable repository analysis framework for large-scale codebases

docs/scalable_analysis_of_large_repositories.md

• Outlined scalable analysis approach for massive code repositories
(10,000 submodules)
• Described hierarchical decomposition and n-gram
compression for complexity management
• Detailed distributed
processing strategies using local LLMs for contextual grounding

Explained fixed point search methodology for optimal classification
convergence

+40/-0   
section_combinatorial_analysis.tex
Combinatorial analysis section for framework documentation

latex_sections/section_combinatorial_analysis.tex

• Added LaTeX section describing combinatorial analysis within the
framework
• Explained high-dimensional space of possibilities from
multiple topologies and functions
• Referenced 8^8 times complexity
and 2^2 pair selection concepts

+2/-0     
Additional files
101 files
.git_commit_message.txt +0/-3     
Cargo.toml +10/-1   
README.md +102/-0 
SOP_Nix_Graph_Reflection.md +88/-0   
abstract_mathematical_idea.tex +76/-0   
concept_word_as_predicate.md +20/-0   
creative_expressions.md +106/-0 
CRQ-004-rust-documentation-rustdoc-updates-for-binaries.md +35/-0   
CRQ-005-readme-md-updates.md +34/-0   
CRQ-006-formal-qa-procedures-and-standard-operating-procedures-sops-development.md +37/-0   
CRQ-007-comprehensive-project-testing.md +37/-0   
CRQ-008-the-crq-of-crqs.md +36/-0   
CRQ-009-git-project-reader-library-and-integration.md +37/-0   
CRQ-010-sop-documentation-and-cargo-lock-update.md +38/-0   
CRQ-011-github-cli-sops-and-wrapper-scripts.md +46/-0   
CRQ-012-integrate-git-submodule-tools-into-lattice-system.md +32/-0   
CRQ-013-integrate-gitoxide-into-lattice-system.md +32/-0   
CRQ-014-integrate-magoo-into-lattice-system.md +32/-0   
CRQ-015-integrate-naersk-into-lattice-system.md +32/-0   
CRQ-016-integrate-submod-into-lattice-system.md +32/-0   
CRQ-017-submodule-lattice-integration-crqs-and-task-files.md +36/-0   
CRQ-018-the-branch-as-a-holistic-development-unit.md +39/-0   
CRQ-019-one-to-one-mapping-of-crq-to-branch-and-pull-request.md +38/-0   
CRQ-020-braindump-update-and-crq-status-reflection.md +34/-0   
CRQ-024-new-sops-for-crq-driven-development.md +35/-0   
CRQ-025-rust-code-generation-for-lattice-structures-programmatic-construction-of-the-framework.md +36/-0   
CRQ-026-zos-sequence-self-application-iterative-attribute-expansion.md +31/-0   
CRQ-027-Open_Source_Language_and_Compiler_Classification_The_1k_Repo_Grounding.md +40/-0   
CRQ-28-audited-llm-interaction.md +38/-0   
CRQ-29-conceptual-rust-lattice-types.md +56/-0   
CRQ-30-concrete-lattice-analysis-example.md +54/-0   
CRQ-31-crq-001-review-git-log-patch.md +7/-0     
CRQ-32-crq-002-automate-sops-to-rust.md +3/-0     
CRQ-33-crq-002-submodule-report-function-development.md +44/-0   
CRQ-34-crq-003-context-introspector.md +3/-0     
CRQ-35-crq-004-formalize-interaction-procedure.md +3/-0     
CRQ-36-crq-005-strategic-alignment.md +3/-0     
CRQ-37-crq-006-process-unification-kether-review.md +3/-0     
CRQ-38-crq-007-gitmodules-recon.md +3/-0     
CRQ-39-crq-008-category-theory-hott-submodules.md +3/-0     
CRQ-40-crq-009-grand-unified-framework.md +3/-0     
CRQ-41-crq-009-grand-unified-framework-zoomed-in.md +3/-0     
CRQ-42-crq-009-grand-unified-framework-zoomed-out.md +3/-0     
CRQ-43-crq-010-dynamic-information-flow.md +3/-0     
CRQ-44-crq-011-bott-periodicity.md +3/-0     
CRQ-45-crq-012-naersk-integration.md +3/-0     
CRQ-46-crq-document-index.md +40/-0   
CRQ-47-k-value-type-semantics.md +41/-0   
CRQ-48-lattice-and-quine-relay.md +38/-0   
CRQ-49-lattice-code-generation-and-mapping.md +45/-0   
CRQ-50-llm-communication-protocol.md +40/-0   
CRQ-51-meta-lattice-application.md +32/-0   
CRQ-52-orchestration-layer-architecture.md +50/-0   
grand_unified_search_architecture.md +43/-0   
Meme_CRQ_Commit_Message.md +11/-0   
gta.md +7/-0     
gta1.md +3/-0     
oss_language_classification.md +35/-0   
resonance_analysis.md +29/-0   
SOP_AI_Agent_Management_via_PRs.md +57/-0   
SOP_Bootstrap_CRQ_Hypothesis_Implementation.md +45/-0   
SOP_Branch_Driven_Development_Philosophy.md +59/-0   
SOP_CRQ_as_Commit_Message.md +28/-0   
SOP_Coding_Standards.md +28/-0   
SOP_GH_CLI_Check_Issues.md +93/-0   
SOP_GH_CLI_Check_PRs.md +101/-0 
SOP_GH_CLI_Check_Workflows.md +84/-0   
SOP_Integrated_Binary_Workflow.md +60/-0   
SOP_Refactoring_with_CRQ_Branches.md +49/-0   
SOP_Using_Git_Config_Parser.md +62/-0   
SOP_Using_Project_File_Lattice_Builder.md +49/-0   
SOP_Using_Submodule_Collector.md +52/-0   
sops-debugging-submodule-counting.md +68/-0   
sops-github-issue-workflow.md +44/-0   
sops-herding-ai-flock.md +59/-0   
sops-whistle-while-you-work.md +71/-0   
task_git-submodule-tools_lattice_integration.md +21/-0   
task_gitoxide_lattice_integration.md +23/-0   
task_magoo_lattice_integration.md +15/-0   
task_naersk_lattice_integration.md +22/-0   
task_submod_lattice_integration.md +15/-0   
emacs.sh +1/-0     
Cargo.toml +15/-0   
Cargo.toml +7/-0     
gitoxide +1/-1     
section_conclusion.tex +6/-0     
section_functions_and_enumeration.tex +4/-0     
section_instances_and_algebraic_composition.tex +17/-0   
section_introduction.tex +2/-0     
section_multi_layered_model.tex +11/-0   
section_n_grams_and_core_topologies.tex +14/-0   
section_primorial_base_sequence.tex +4/-0     
section_proposed_application.tex +11/-0   
Cargo.toml +9/-0     
Cargo.toml +9/-0     
Cargo.toml +9/-0     
memes.md +3/-0     
ontology.json +63/-0   
Cargo.toml +7/-0     
Cargo.toml +10/-0   
Additional files not shown

Summary by CodeRabbit

  • Documentation
    • Introduced a structured CRQ task scaffold for CRQ-43: "crq 010 dynamic information flow," featuring top-level header, placeholder sections for Objective and Description, and a reference link to the full CRQ-010 dynamic-information-flow document. This clarifies task context and provides a clear starting point for authors. No behavioral changes to the product.

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coderabbitai bot commented Sep 11, 2025

Walkthrough

Updates task.md by replacing a prior one-line directive with a scaffold for CRQ-43/CRQ-010. It adds a top-level header, empty Objective and Description sections, and a reference link, and removes previous instructions to review SOPS/CRQs and PRs. No code or API signatures changed.

Changes

Cohort / File(s) Summary of changes
Docs scaffold update
task.md
Replaced previous directive with a CRQ task scaffold: added H1 "Task for CRQ-43: crq 010 dynamic information flow", empty "Objective"/"Description" sections, and a link to the CRQ-010 dynamic-information-flow document; removed instruction to review SOPS/CRQs and PRs.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Pre-merge checks (3 passed)

✅ Passed checks (3 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check ✅ Passed The current title "CRQ-43: crq 010 dynamic information flow" directly reflects the primary change (adding a task scaffold for CRQ-43/CRQ-010) and succinctly communicates the subject (dynamic information flow), so it is relevant and clear for teammates scanning history.
Docstring Coverage ✅ Passed No functions found in the changes. Docstring coverage check skipped.

Poem

I thump my paws on the planning track,
A scaffold built—no code to hack.
Objective: blank, Description: new,
A link to chase the CRQ clue.
Nose twitching, docs aligned just so—
Onward, team; let the carrots grow! 🥕

✨ Finishing touches
🧪 Generate unit tests
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch feature/crq-43-crq-010-dynamic-information-flow

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PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 5 🔵🔵🔵🔵🔵
🧪 PR contains tests
🔒 No security concerns identified
⚡ Recommended focus areas for review

Build Breakage

The file content is wrapped in triple quotes and appears to be a string literal containing Rust code, which makes the entire file invalid Rust and will fail to compile. Convert this into actual Rust source (remove the leading/trailing triple quotes) and ensure it compiles as a proper module/binary.

"""//! This program conceptually outlines a "Grand Unified Search" system in Rust.
//! It aims to demonstrate how a program could parse its own code, search for similar
//! programs within a vast repository (like 10k submodules), and interact with LLMs
//! for knowledge extraction, all within the framework of our defined lattice.

// NOTE: This is a conceptual outline. Actual implementation of semantic code parsing,
// LLM communication with currying/continuation, and deep submodule tool integration
// would require significant external libraries, complex logic, and a robust
// communication infrastructure, which are beyond the scope of this single file.

use std::fs;
use std::path::{Path, PathBuf};

// --- Conceptual Lattice Components ---
// These structs represent the theoretical elements of our lattice,
// which would be used to "address" and classify code patterns and knowledge.

#[derive(Debug, PartialEq, Eq, Hash, Clone)]
struct Predicate {
    name: String,
    // In Model 1, this is a bit (0 or 1) indicating presence/absence.
    // In higher layers, it could represent more complex values.
    value: u8,
}

#[derive(Debug, Clone)]
struct CodeLatticeAddress {
    // Example: A unique identifier for a code pattern or knowledge unit.
    // This would be derived from the lattice's structure (layer, n-gram, etc.).
    address_components: Vec<String>,
}

// --- Core Functionality Placeholders ---

/// Conceptually parses Rust code using `syn` to extract structural predicates.
/// In a real implementation, this would involve detailed AST traversal.
fn conceptual_syn_parse_and_extract_predicates(code: &str) -> Vec<Predicate> {
    println!("
[Conceptual Parsing] Analyzing code to extract predicates...");
    // Placeholder for actual `syn` parsing logic.
    // For demonstration, we'll just look for some keywords.
    let mut predicates = Vec::new();
    if code.contains("fn main") {
        predicates.push(Predicate { name: "has_main_function".to_string(), value: 1 });
    }
    if code.contains("struct") {
        predicates.push(Predicate { name: "defines_struct".to_string(), value: 1 });
    }
    if code.contains("impl") {
        predicates.push(Predicate { name: "has_impl_block".to_string(), value: 1 });
    }
    if code.contains("use std::") {
        predicates.push(Predicate { name: "uses_std_lib".to_string(), value: 1 });
    }
    println!("  Extracted {} conceptual predicates.", predicates.len());
    predicates
}

/// Conceptually queries an LLM for help or knowledge extraction.
/// In a real implementation, this would involve secure API calls,
/// prompt engineering, and response parsing.
fn conceptual_llm_query(query_text: &str, context_lattice_address: &CodeLatticeAddress) -> String {
    println!("
[Conceptual LLM Query] Asking LLM for help...");
    println!("  Query: "{}"", query_text);
    println!("  Context Lattice Address: {:?}", context_lattice_address);
    // Placeholder for LLM interaction.
    "LLM_RESPONSE: Based on your query and the lattice context, here's some conceptual knowledge."
        .to_string()
}

/// Conceptually interacts with the submodule tool to list/access repositories.
/// In a real implementation, this would involve executing shell commands
/// or using a Rust crate that wraps git submodule functionality.
fn conceptual_submodule_tool_list_repos() -> Vec<PathBuf> {
    println!("
[Conceptual Submodule Tool] Listing repositories...");
    // Placeholder for actual submodule tool interaction.
    // For demonstration, return a few dummy paths.
    vec![
        PathBuf::from("/data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/git_test_repo/src/main.rs"),
        PathBuf::from("/data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/report-analyzer-rs/src/main.rs"),
        PathBuf::from("/data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/src/program_self_description.rs"),
        PathBuf::from("/data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/src/meta_lattice_model.rs"),
    ]
}

/// The core search logic: reads its own code, extracts predicates,
/// and then searches other programs for similarity based on these predicates.
fn grand_unified_search() -> Result<(), Box<dyn std::error::Error>> {
    println!("--- Grand Unified Search Initiated ---");

    // Step 1: Self-parsing and predicate extraction
    println!("
[Step 1] Self-analysis: Parsing this program's own code.");
    let self_code_path = PathBuf::from(file!()); // Path to this source file
    let self_code = fs::read_to_string(&self_code_path)?;
    let self_predicates = conceptual_syn_parse_and_extract_predicates(&self_code);
    let self_lattice_address = CodeLatticeAddress {
        address_components: vec!["self_model".to_string(), "layer1".to_string()],
    };
    println!("  This program's conceptual predicates: {:?}", self_predicates);

    // Step 2: Search other programs in submodules
    println!("
[Step 2] Searching for similar programs in submodules.");
    let all_rust_files = conceptual_submodule_tool_list_repos(); // Get all Rust files (conceptual)

    for file_path in all_rust_files {
        if file_path == self_code_path {
            continue; // Skip self
        }

        println!("
  Analyzing: {:?}", file_path);
        let other_code = fs::read_to_string(&file_path)?;
        let other_predicates = conceptual_syn_parse_and_extract_predicates(&other_code);

        // Conceptual similarity check based on shared predicates
        let mut shared_count = 0;
        for self_p in &self_predicates {
            if other_predicates.contains(self_p) {
                shared_count += 1;
            }
        }

        if shared_count > 0 {
            println!("    -> Found {} shared predicates with {:?}. Considered similar.", shared_count, file_path);
            // Step 3: Conceptual LLM interaction for deeper insight
            let llm_response = conceptual_llm_query(
                &format!("Explain the core function of {:?} based on these predicates: {:?}", file_path, other_predicates),
                &self_lattice_address,
            );
            println!("    LLM Insight: {}", llm_response);
        } else {
            println!("    -> No shared conceptual predicates with {:?}. Not considered similar.", file_path);
        }
    }

    println!("
--- Grand Unified Search Concluded ---");
    Ok(())
}

fn main() -> Result<(), Box<dyn std::error::Error>> {
    grand_unified_search()
}
""
Codegen Errors

Generated LatticeLayer uses instances: Vec<T> but add_instance accepts Instance<T> and calls instance.describe(). Also HasValueCount is defined with an associated function, but code calls it as a method (instance.units[0].value_count()). Fix the generated types to use Vec<Instance<T>> and call T::value_count(). Tests also expect P7(7u8) while code emits P7(7); add an explicit u8 (e.g., #p as u8) to satisfy the test.

    quote! {
        #[derive(Debug, Clone)]
        pub struct LatticeLayer<T: HasValueCount + std::fmt::Debug> {
            pub value_type: ValueType,
            pub instances: Vec<T>,
        }

        impl<T: HasValueCount + std::fmt::Debug> LatticeLayer<T> {
            pub fn new(value_type: ValueType) -> Self {
                Self { value_type, instances: Vec::new() }
            }

            pub fn add_instance(&mut self, instance: Instance<T>) {
                assert_eq!(instance.units[0].value_count(), self.value_type.count(),
                           "Instance unit value count must match layer's value type");
                self.instances.push(instance);
            }

            pub fn describe(&self) {
                println!("\n--- Lattice Layer: {:?} (k={}) ---", self.value_type, self.value_type.count());
                for instance in &self.instances {
                    instance.describe();
                }
            }
        }
    }
}
Main Signature

main() returns Ok(()) but is declared without a Result return type, which will not compile. Either change fn main() -> Result<(), Box<dyn std::error::Error>> or remove the final Ok(()). A similar pattern likely exists in other new binaries; audit them consistently.

fn main() {
    println!("\n--- Repository Search Simulator ---");

    // 1. Define a set of mock repositories (simplified as text content)
    let mock_repos: HashMap<String, String> = [
        ("repo_A".to_string(), "This Rust project uses async and traits for concurrency.".to_string()),
        ("repo_B".to_string(), "A Python script for data analysis with pandas.".to_string()),
        ("repo_C".to_string(), "Another Rust crate focusing on data structures and algorithms.".to_string()),
        ("repo_D".to_string(), "A JavaScript frontend framework with reactive components.".to_string()),
        ("repo_E".to_string(), "This Rust library implements a custom parser using macros.".to_string()),
        ("repo_F".to_string(), "A C++ game engine with complex physics simulations.".to_string()),
    ].iter().cloned().collect();

    // 2. Define a set of global predicates for classification
    let global_predicates = vec!["rust", "python", "javascript", "c++", "async", "traits", "data", "parser", "macros", "game", "llm", "lattice"];
    let classifier = PredicateClassifier::new(global_predicates.iter().map(|&s| s).collect());

    // 3. Classify each mock repository and store its predicate instance
    let mut classified_repos: HashMap<String, Instance<WordPredicate>> = HashMap::new();
    let mut bit_layer = LatticeLayer::<WordPredicate>::new(ValueType::Bit);

    println!("\n--- Classifying Mock Repositories ---");
    for (repo_id, content) in &mock_repos {
        let predicates = classifier.extract_word_predicates(content);
        let instance = Instance::new(repo_id, predicates.len() as u8, predicates);
        bit_layer.add_instance(instance.clone());
        classified_repos.insert(repo_id.clone(), instance);
        println!("  Repo '{}' predicates: {:?}", repo_id, classified_repos.get(repo_id).unwrap().units);
    }

    // Add the classified repos to a conceptual lattice
    let mut conceptual_lattice = Lattice::new("Repository Classification Lattice");
    conceptual_lattice.add_layer(bit_layer);
    conceptual_lattice.describe();

    // 4. Perform a "Search by Example" query
    println!("\n--- Performing Search by Example ---");
    let query_repo_id = "repo_A";
    let query_instance = classified_repos.get(query_repo_id).expect("Query repo not found");
    println!("Searching for repos similar to '{}' (predicates: {:?})", query_repo_id, query_instance.units);

    for (other_repo_id, other_instance) in &classified_repos {
        if other_repo_id == query_repo_id {
            continue; // Skip self
        }

        // Conceptual similarity: count shared 'true' predicates
        let mut shared_true_predicates = 0;
        for i in 0..query_instance.units.len() {
            if query_instance.units[i].0 && other_instance.units[i].0 {
                shared_true_predicates += 1;
            }
        }

        // A simple similarity score (can be more complex in a real system)
        let similarity_score = shared_true_predicates as f32 / query_instance.units.len() as f32;

        println!("  Comparing with '{}' (predicates: {:?})", other_repo_id, other_instance.units);
        println!("    Shared 'true' predicates: {}", shared_true_predicates);
        println!("    Similarity Score: {:.2}", similarity_score);

        if similarity_score > 0.3 { // Arbitrary threshold for conceptual similarity
            println!("    -> '{}' is considered similar to '{}'.", other_repo_id, query_repo_id);
        }
    }

    println!("\nThis simulation demonstrates how the lattice framework can enable scalable search by example");
    println!("and classification across a large number of repositories based on predicate analysis.");

    Ok(())
}

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PR Code Suggestions ✨

Explore these optional code suggestions:

CategorySuggestion                                                                                                                                    Impact
High-level
Consolidate and fix lattice core types

The core lattice types (ValueType, Instance, LatticeLayer, etc.) are defined
inconsistently across multiple new crates and generated files. This leads to
compilation errors and runtime panics. The suggestion is to create a single,
authoritative crate for these core types, fix the inconsistencies (like struct
fields and trait usage), and have all other parts of the framework depend on
this central crate.

Examples:

lattice_code_generator/src/lib.rs [110-124]
src/lib.rs [27-66]

Solution Walkthrough:

Before:

// In lattice_code_generator/src/lib.rs
pub struct LatticeLayer<T: HasValueCount> {
    pub instances: Vec<T>, // Incorrect: should be Vec<Instance<T>>
}
impl<T: HasValueCount> LatticeLayer<T> {
    pub fn add_instance(&mut self, instance: Instance<T>) {
        // Incorrect: calls value_count() on an instance, but it's an associated function
        assert_eq!(instance.units[0].value_count(), self.value_type.count());
        self.instances.push(instance); // Type mismatch
    }
}

// In src/lib.rs
// ...
let mut crq_documentation_layer = LatticeLayer::<bool>::new(ValueType::ThreeValue);
let instance = Instance::new(..., vec![true, false]); // Instance<bool>
// This will panic because bool::value_count() (2) != ThreeValue.count() (3)
crq_documentation_layer.add_instance(instance);

After:

// In a new central crate, e.g., `lattice_core`
pub struct LatticeLayer<T: HasValueCount> {
    pub instances: Vec<Instance<T>>, // Corrected
}
impl<T: HasValueCount> LatticeLayer<T> {
    pub fn add_instance(&mut self, instance: Instance<T>) {
        // Corrected: use associated function T::value_count()
        assert_eq!(T::value_count(), self.value_type.count());
        self.instances.push(instance); // Compiles
    }
}

// In src/lib.rs (and other crates)
// use lattice_core::{LatticeLayer, Instance, ValueType, ThreeValueUnit};
// ...
let mut crq_documentation_layer = LatticeLayer::<ThreeValueUnit>::new(ValueType::ThreeValue);
let instance = Instance::new(..., vec![ThreeValueUnit::Low, ThreeValueUnit::High]);
// This now works correctly
crq_documentation_layer.add_instance(instance);
Suggestion importance[1-10]: 10

__

Why: The suggestion correctly identifies critical and widespread inconsistencies in core data structures across multiple new crates, which would lead to compilation failures and runtime panics, making the framework non-functional.

High
Possible issue
Remove stray file-wide quotes

Remove the surrounding triple-quoted string so the file is valid Rust code. The
current wrapping causes the entire source to be a string literal and prevents
compilation.

src/grand_unified_search.rs [1-148]

-"""//! This program conceptually outlines a "Grand Unified Search" system in Rust.
+//! This program conceptually outlines a "Grand Unified Search" system in Rust.
 ...
-""

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 10

__

Why: The suggestion correctly identifies that the entire file is wrapped in invalid triple quotes, which is a fatal syntax error that prevents compilation.

High
Correct layer storage and assertion

Fix the generated type of instances to store Instance and avoid indexing into
units for the assertion. Use T::value_count() to match the layer's ValueType and
prevent panics on empty instances.

lattice_code_generator/src/lib.rs [108-133]

 quote! {
     #[derive(Debug, Clone)]
     pub struct LatticeLayer<T: HasValueCount + std::fmt::Debug> {
         pub value_type: ValueType,
-        pub instances: Vec<T>,
+        pub instances: Vec<Instance<T>>,
     }
 
     impl<T: HasValueCount + std::fmt::Debug> LatticeLayer<T> {
         pub fn new(value_type: ValueType) -> Self {
             Self { value_type, instances: Vec::new() }
         }
 
         pub fn add_instance(&mut self, instance: Instance<T>) {
-            assert_eq!(instance.units[0].value_count(), self.value_type.count(),
+            assert_eq!(T::value_count(), self.value_type.count(),
                        "Instance unit value count must match layer's value type");
             self.instances.push(instance);
         }
 
         pub fn describe(&self) {
             println!("\n--- Lattice Layer: {:?} (k={}) ---", self.value_type, self.value_type.count());
             for instance in &self.instances {
                 instance.describe();
             }
         }
     }
 }

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 9

__

Why: The suggestion fixes three critical bugs in the generated code: a type mismatch in LatticeLayer::instances, a potential panic on empty instance.units, and a compilation error from trying to push an Instance<T> into a Vec<T>.

High
Fix mismatched vector element type

The instances field type does not match what add_instance pushes, causing a
compile-time type error. Store Instance objects in the vector to align with
add_instance and iteration in describe.

generated_lattice_structure/lattice_layer_struct.rs [1]

-# [derive (Debug , Clone)] pub struct LatticeLayer < T : HasValueCount + std :: fmt :: Debug > { pub value_type : ValueType , pub instances : Vec < T > , } impl < T : HasValueCount + std :: fmt :: Debug > LatticeLayer < T > { pub fn new (value_type : ValueType) -> Self { Self { value_type , instances : Vec :: new () } } pub fn add_instance (& mut self , instance : Instance < T >) { assert_eq ! (instance . units [0] . value_count () , self . value_type . count () , "Instance unit value count must match layer's value type") ; self . instances . push (instance) ; } pub fn describe (& self) { println ! ("\n--- Lattice Layer: {:?} (k={}) ---" , self . value_type , self . value_type . count ()) ; for instance in & self . instances { instance . describe () ; } } }
+#[derive(Debug, Clone)]
+pub struct LatticeLayer<T: HasValueCount + std::fmt::Debug> {
+    pub value_type: ValueType,
+    pub instances: Vec<Instance<T>>,
+}
 
+impl<T: HasValueCount + std::fmt::Debug> LatticeLayer<T> {
+    pub fn new(value_type: ValueType) -> Self {
+        Self { value_type, instances: Vec::new() }
+    }
+    pub fn add_instance(&mut self, instance: Instance<T>) {
+        assert_eq!(
+            instance.units[0].value_count(),
+            self.value_type.count(),
+            "Instance unit value count must match layer's value type"
+        );
+        self.instances.push(instance);
+    }
+    pub fn describe(&self) {
+        println!("\n--- Lattice Layer: {:?} (k={}) ---", self.value_type, self.value_type.count());
+        for instance in &self.instances {
+            instance.describe();
+        }
+    }
+}
+

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 9

__

Why: The suggestion correctly identifies a critical type mismatch where add_instance pushes an Instance<T> into a Vec<T>, which would cause a compilation error.

High
Correct enum shape and counts

The enum uses tuple variants but zos_sequence constructs unit variants, and
count() lacks return expressions, causing compilation failures. Make prime
variants unit-like and return explicit counts in count() to align constructors
and logic.

generated_lattice_code/value_type.rs [1]

-# [derive (Debug , PartialEq , Eq , Clone , Copy)] pub enum ValueType { Bit , ThreeValue , FiveValue , PrimeValue7 (u8) , PrimeValue11 (u8) , PrimeValue13 (u8) , PrimeValue17 (u8) , PrimeValue19 (u8) , } impl ValueType { pub fn count (& self) -> u8 { match self { ValueType :: Bit , ValueType :: ThreeValue , ValueType :: FiveValue , ValueType :: PrimeValue7 (p) , ValueType :: PrimeValue11 (p) , ValueType :: PrimeValue13 (p) , ValueType :: PrimeValue17 (p) , ValueType :: PrimeValue19 (p) , } } pub fn zos_sequence () -> Vec < ValueType > { vec ! [ValueType :: Bit , ValueType :: ThreeValue , ValueType :: FiveValue , ValueType :: PrimeValue7 , ValueType :: PrimeValue11 , ValueType :: PrimeValue13 , ValueType :: PrimeValue17 , ValueType :: PrimeValue19 ,] } }
+#[derive(Debug, PartialEq, Eq, Clone, Copy)]
+pub enum ValueType {
+    Bit,
+    ThreeValue,
+    FiveValue,
+    PrimeValue7,
+    PrimeValue11,
+    PrimeValue13,
+    PrimeValue17,
+    PrimeValue19,
+}
 
+impl ValueType {
+    pub fn count(&self) -> u8 {
+        match self {
+            ValueType::Bit => 2,
+            ValueType::ThreeValue => 3,
+            ValueType::FiveValue => 5,
+            ValueType::PrimeValue7 => 7,
+            ValueType::PrimeValue11 => 11,
+            ValueType::PrimeValue13 => 13,
+            ValueType::PrimeValue17 => 17,
+            ValueType::PrimeValue19 => 19,
+        }
+    }
+
+    pub fn zos_sequence() -> Vec<ValueType> {
+        vec![
+            ValueType::Bit,
+            ValueType::ThreeValue,
+            ValueType::FiveValue,
+            ValueType::PrimeValue7,
+            ValueType::PrimeValue11,
+            ValueType::PrimeValue13,
+            ValueType::PrimeValue17,
+            ValueType::PrimeValue19,
+        ]
+    }
+}
+

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 9

__

Why: The suggestion correctly identifies multiple compilation errors: a type mismatch in zos_sequence and missing return values in the count function's match arms.

High
Close the graph block

The DOT graph must be closed with a trailing '}' or Graphviz will fail to parse
and render it. Append a single closing brace at the end of the file. After
adding it, run a quick syntax check (e.g., dot -Tpng) to verify validity.

self/reflection/directory/devshell_graph.dot [1-368]

 digraph G {
 "n5zn17iz6ljsf3r91nwznad6kmnw45n7-nix-shell.drv" [label = "nix-shell.drv", shape = box, style = filled, fillcolor = "#ff0000"];
 "1c09d6x52kir29lp2nia7s1zrisxs9w7-cargo-1.89.0.drv" -> "n5zn17iz6ljsf3r91nwznad6kmnw45n7-nix-shell.drv" [color = "black"];
 ...
+}

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 9

__

Why: The suggestion correctly identifies a missing closing brace } for the digraph block, which is a critical syntax error that would make the entire .dot file unparsable.

High
Fix PCRE grep usage

The first grep uses PCRE \K without -P, so it never matches and breaks CRQ
number detection. Use a single grep -oP with -m1 to reliably extract the number
from the header.

tools/gh_scripts/standardize_and_move_crqs.sh [43]

-CRQ_NUMBER_FROM_HEADER=$(grep -m 1 "^# CRQ-\K[0-9]+" "$CRQ_FILE_PATH" | grep -oP 'CRQ-\K[0-9]+')
+CRQ_NUMBER_FROM_HEADER=$(grep -oPm1 '^# CRQ-\K[0-9]+' "$CRQ_FILE_PATH")

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 8

__

Why: The suggestion correctly identifies that the grep command is using a PCRE feature (\K) without the -P flag, which breaks the logic for extracting the CRQ number from a file header.

Medium
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@jmikedupont2
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please review this ticket, look at the crq and help us plan next steps

@jmikedupont2
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@coderabbitai review

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coderabbitai bot commented Sep 12, 2025

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Actionable comments posted: 2

🧹 Nitpick comments (1)
task.md (1)

1-1: Standardize title casing and identifier.

Use consistent CRQ code formatting and title case.

-# Task for CRQ-43: crq 010 dynamic information flow
+# Task for CRQ-43: CRQ-010 Dynamic Information Flow
📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 259f61c and 903825b.

📒 Files selected for processing (1)
  • task.md (1 hunks)

Comment on lines +3 to +8
## Objective


## Description


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🛠️ Refactor suggestion

Populate Objective/Description with testable content and acceptance criteria.

These sections are empty; the task is not actionable.

 ## Objective
-
+Deliver a minimal, verifiable framework to model dynamic flow and influence of “memes” across repos, issues, PRs, and comms, producing actionable insights for planning.
 
 ## Description
-
+Scope:
+- Define data model for memes, actors, channels, events, and edges.
+- Implement initial metrics: influence score, flow velocity, damping/decay, and bottleneck detection.
+- Provide ingestion from Git history, issues/PRs, and commit metadata.
+
+Acceptance criteria:
+- Repo-level report with top influencers, high-friction paths, and early-warning candidates.
+- Deterministic CLI producing JSON and Markdown summary for a given repo and time window.
+- Unit tests for metric correctness; sample dataset + golden outputs committed.
+
+Deliverables:
+- crates: flow-core, flow-metrics, flow-ingest, flow-cli.
+- docs: architecture.md, data-contracts.md, metrics.md.
+
+Dependencies:
+- CRQ-003 Context Introspector artifacts; Git submodule collector JSON.
+
+Out of scope:
+- Physical fluid dynamics modeling; speculative philosophy.
+
+Next steps:
+1) Finalize data contracts/interfaces.
+2) Build ingest pipeline MVP.
+3) Implement influence + velocity metrics and reports.
+4) Wire CI with sample dataset and benchmarks.
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
## Objective
## Description
## Objective
Deliver a minimal, verifiable framework to model dynamic flow and influence of “memes” across repos, issues, PRs, and comms, producing actionable insights for planning.
## Description
Scope:
- Define data model for memes, actors, channels, events, and edges.
- Implement initial metrics: influence score, flow velocity, damping/decay, and bottleneck detection.
- Provide ingestion from Git history, issues/PRs, and commit metadata.
Acceptance criteria:
- Repo-level report with top influencers, high-friction paths, and early-warning candidates.
- Deterministic CLI producing JSON and Markdown summary for a given repo and time window.
- Unit tests for metric correctness; sample dataset + golden outputs committed.
Deliverables:
- crates: flow-core, flow-metrics, flow-ingest, flow-cli.
- docs: architecture.md, data-contracts.md, metrics.md.
Dependencies:
- CRQ-003 Context Introspector artifacts; Git submodule collector JSON.
Out of scope:
- Physical fluid dynamics modeling; speculative philosophy.
Next steps:
1) Finalize data contracts/interfaces.
2) Build ingest pipeline MVP.
3) Implement influence + velocity metrics and reports.
4) Wire CI with sample dataset and benchmarks.
🤖 Prompt for AI Agents
In task.md around lines 3 to 8, the Objective and Description sections are
empty; populate them with a concise, testable Objective statement (what outcome
is expected), a clear Description describing the steps, constraints and
implementation approach, and add explicit Acceptance Criteria as bullet-style
testable items (e.g., given/when/then scenarios, input/output expectations,
pass/fail conditions). Ensure each criterion is measurable and includes any
required inputs, expected outputs, success thresholds, and edge cases so the
task is actionable and verifiable.

## Description


Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details.
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💡 Verification agent

🧩 Analysis chain

Replace absolute local path with repo-relative Markdown link (portability + leak).

Current path is Android Termux–specific and broken for collaborators; it also leaks a local filesystem layout.

-Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details.
+Refer to [CRQ-43: CRQ-010 Dynamic Information Flow](submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) for full details.

Run to verify the path and adjust if needed:


🏁 Script executed:

#!/bin/bash
set -euo pipefail
fd -a 'CRQ-43-crq-010-dynamic-information-flow.md' -t f -I || true
rg -n 'CRQ-010|dynamic information flow' -g 'submodules/**/CRQ-43*' -n -S || true

Length of output: 232


Replace absolute local path with repo-relative Markdown link (portability + leak).

File: task.md (line 9) — Absolute Android/Termux path leaks local filesystem and breaks for collaborators; use a repo-relative Markdown link instead.

-Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details.
+Refer to [CRQ-43: CRQ-010 Dynamic Information Flow](docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) for full details.

Verified file exists at docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md.

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
Refer to /data/data/com.termux.nix/files/home/pick-up-nix/source/github/meta-introspector/submodules/docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md for full details.
Refer to [CRQ-43: CRQ-010 Dynamic Information Flow](docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) for full details.
🤖 Prompt for AI Agents
In task.md around line 9, the line currently contains an absolute Termux/Android
path that leaks a local filesystem and is not portable; replace it with a
repo-relative Markdown link to the verified file
(docs/crq_standardized/CRQ-43-crq-010-dynamic-information-flow.md) so the text
reads as a standard Markdown link to that path (use the file name as the link
text and the repo-relative path as the target).

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