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CRQ-47-k-value-type-semantics.md

Change Request: k value type semantics

K-Value Type Semantics: Expanding Predicate Granularity in the Lattice

This document conceptually defines the semantic interpretation of different k-value types within the Lattice Idea Framework, extending beyond simple boolean predicates and RDF-like triples. These k-value types, derived from the zos sequence of prime numbers, represent increasing levels of granularity and complexity in knowledge representation.

1. The zos Sequence as Granularity Spectrum

The zos sequence [2, 3, 5, 7, 11, 13, 17, 19] serves as the foundation for defining the k in k-value types. Each prime number in this sequence corresponds to a distinct layer in our multi-layered model, where the fundamental unit of that layer can take on k possible values.

2. Semantic Interpretation of K-Value Types

  • k = 2 (Bit / Boolean Predicate):

    • Interpretation: The most fundamental level. A binary predicate, representing a simple true/false, present/absent, or yes/no state. This is the core of Model 1, where a word's presence in a text is a bit.
    • Example: (word_present, 1) or (feature_enabled, 0).
  • k = 3 (Triple / Relational Statement):

    • Interpretation: Extends beyond binary to represent basic relational statements, similar to RDF (Resource Description Framework) triples. These capture subject-predicate-object relationships.
    • Structure: (Subject, Predicate, Object) or (Entity, Attribute, Value).
    • Example: (Rust, has_feature, Ownership), (LLM, generates, Text), (Compiler, targets, x86_64).
  • k = 5 (Quintuple / Contextualized Statement):

    • Interpretation: Introduces additional context or qualifiers to a relational statement. This allows for more nuanced and situation-dependent knowledge representation.
    • Structure: (Subject, Predicate, Object, Context, Confidence) or (Entity, Attribute, Value, Time, Location).
    • Example: (Rust, has_feature, Ownership, (version, 2021), (stability, stable)), (LLM, generates, Text, (topic, AI), (style, formal)).
  • k = 7 (Septuple / Event or Process Description):

    • Interpretation: Captures more complex events, processes, or actions, including participants, roles, and temporal/causal relationships. Useful for describing dynamic aspects of code or system behavior.
    • Structure: (Agent, Action, Object, Instrument, Time, Location, Outcome).
    • Example: (Compiler, compiles, SourceCode, (tool, rustc), (timestamp, T1), (platform, Linux), (result, executable)), (LLM, refines, Query, (method, RAG), (iteration, 3), (source, database), (quality, improved)).
  • k = 11, 13, 17, 19 (Higher-Order Tuples / Complex Models and Narratives):

    • Interpretation: As k increases, the tuples can represent increasingly complex models, narratives, or even entire conceptual frameworks. These higher-order tuples allow for the encoding of rich semantic information, including:
      • Multi-faceted relationships: Capturing how multiple entities interact across various dimensions.
      • Algorithmic descriptions: Representing the steps and conditions of complex algorithms.
      • Narrative structures: Encoding the elements of a story or a sequence of events.
      • System architectures: Describing the components, connections, and behaviors of large-scale systems.
    • Conceptual Example: A 19-tuple might represent the entire conceptual model of a programming language, including its syntax, semantics, type system, memory model, concurrency primitives, community philosophy, and common usage patterns, all as a single, highly structured entity within the lattice.

This layered semantic interpretation allows the Lattice Idea Framework to represent knowledge at varying levels of detail and abstraction, from simple binary facts to complex, multi-dimensional conceptual models, all within a unified and enumerable structure.


PR Type

Enhancement


Description

Core Lattice Framework Implementation: Comprehensive implementation of the Lattice Idea Framework with k-value type semantics based on prime numbers (2, 3, 5, 7, 11, 13, 17, 19)
Code Generation System: New procedural macro system for generating Rust lattice structures including ValueType enums, traits, and generic structs
Multiple Analysis Tools: Created specialized tools for Git submodule collection, project file classification, repository search simulation, and lattice-based code mapping
Self-Referential Meta-Model: Implemented framework's capacity for self-analysis and meta-modeling with similarity search capabilities
Development Infrastructure: Enhanced Nix flake with Rust toolchain, development tools, and comprehensive testing framework
Documentation & Workflows: Added CRQ standardization scripts, GitHub CLI wrappers, and comprehensive Standard Operating Procedures (SOPs)
Report Analysis Suite: Built comprehensive analysis tools for processing repository reports with emoji ontology, n-gram analysis, and duplicate detection


Diagram Walkthrough

flowchart LR
  A["Prime Numbers (zos)"] --> B["k-Value Types"]
  B --> C["Lattice Structure"]
  C --> D["Code Generation"]
  D --> E["Generated Rust Code"]
  F["Project Files"] --> G["Classification System"]
  G --> H["Predicate Analysis"]
  H --> C
  I["Git Repositories"] --> J["Submodule Collector"]
  J --> K["Report Analysis"]
  K --> L["Similarity Search"]
  L --> C
  M["Meta-Model"] --> N["Self-Analysis"]
  N --> C
Loading

File Walkthrough

Relevant files
Configuration changes
2 files
flake.nix
Enhanced Nix flake with Rust package and development tools

flake.nix

• Removed empty line at the beginning of the file
• Added
submodule-collector package build configuration with Rust toolchain
dependencies
• 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 the development shell

+1/-1     
Enhancement
45 files
lib.rs
New lattice code generation library with procedural macros

lattice_code_generator/src/lib.rs

• Created new library for generating Rust code for lattice structures
using syn and quote
• Implements functions to generate ValueType enum,
traits, structs for instances and layers
• Includes comprehensive test
suite for code generation validation
• Provides conceptual framework
for k-value types based on prime numbers

+296/-0 
main.rs
New Git submodule collector tool with JSON reporting         

submodule-collector/src/main.rs

• Created command-line tool for scanning Git repositories and
submodules recursively
• Implements comprehensive JSON report
generation with repository and submodule information
• Includes error
handling and resilient processing of nested submodules
• Uses clap,
serde, git2, and walkdir for functionality

+279/-0 
main.rs
New project file lattice builder with classification system

project_file_lattice_builder/src/main.rs

• Created program to build conceptual lattice of project files

Implements file classification based on word predicates and content
analysis
• Maps files into lattice hierarchy based on file types and
paths
• Includes comprehensive test suite for predicate classification

+202/-0 
lattice_mapper_app.rs
New lattice mapper for similarity-based code classification

src/lattice_mapper_app.rs

• Created application demonstrating code mapping into pre-generated
lattice structures
• Implements similarity-based classification using
predicate matching
• Bridges lattice structure generation with
repository search functionality
• Shows conceptual "generate and then
match" process for code classification

+209/-0 
lattice_types.rs
Core lattice type system with multi-layered model               

src/lattice_types.rs

• Defined comprehensive type system for lattice framework in Rust

Implements ValueType enum, traits, and generic structs for instances
and layers
• Created multi-layered lattice model with different
k-value types
• Includes demonstration of conceptual usage with
boolean and three-value types

+196/-0 
repo_search_simulator.rs
Repository search simulator with predicate-based classification

src/repo_search_simulator.rs

• Created repository search simulator using predicate-based
classification
• Implements "search by example" functionality across
mock repositories
• Uses lattice framework for similarity scoring and
classification
• Demonstrates scalable search capabilities based on
predicate analysis

+202/-0 
meta_lattice_model.rs
Self-referential meta-model with conceptual analysis capabilities

src/meta_lattice_model.rs

• Created self-referential meta-model of the lattice idea framework

Implements conceptual analysis of the model's own structure

Demonstrates framework's capacity for meta-modeling and self-analysis

• Includes similarity search functionality for comparing conceptual
models

+153/-0 
analyze_strings.rs
String analysis module with n-gram processing and ontology

report-analyzer-rs/src/analyze_strings.rs

• Created string analysis module for processing repository reports

Implements token collection, frequency counting, and n-gram generation

• Includes iterative analysis with emoji ontology application

Provides suggested rules generation based on analysis results

+171/-0 
lattice_classifier_app.rs
Lattice classifier app with predicate-based text classification

src/lattice_classifier_app.rs

• Created lattice classifier application for text snippet
classification
• Implements predicate-based classification using
generated lattice structures
• Demonstrates "search by example"
functionality with word predicates
• Shows practical usage of lattice
types for classification tasks

+188/-0 
lib.rs
Git project reader library with status and file tracking 

git_project_reader/src/lib.rs

• Created library for reading Git project information including
tracked files
• Implements Git status retrieval using both git2 crate
and command execution
• Includes comprehensive test suite with
temporary repository setup
• Provides structured data collection for
Git project analysis

+174/-0 
grand_unified_search.rs
Grand unified search system with self-parsing capabilities

src/grand_unified_search.rs

• Created conceptual outline for grand unified search system

Implements self-parsing, similarity search, and LLM interaction
concepts
• Demonstrates lattice-based code classification and analysis

• Provides framework for searching across large repository collections

+148/-0 
lattice_model.rs
Core lattice model with value types and classification     

src/lattice_model.rs

• Created core lattice model with ValueType enum and trait definitions

• Implements instance and layer structures for lattice organization

Added predicate classifier for text analysis and word extraction

Provides foundation types for lattice-based classification systems

+136/-0 
word_predicate_analyzer.rs
Word predicate analyzer with n-gram generation                     

src/word_predicate_analyzer.rs

• Created word predicate analyzer using lattice type definitions

Implements text tokenization and conversion to word predicates

Generates n-grams of predicates for pattern analysis
• Demonstrates
practical application of lattice framework for text analysis

+95/-0   
main.rs
Lattice structure generator with hierarchical organization

lattice_structure_generator/src/main.rs

• Created lattice structure generator using the code generation
library
• Implements directory hierarchy generation based on lattice
parameters
• Creates layered structure with instances for different
k-value types
• Provides conceptual mapping framework for existing
code classification

+82/-0   
lib.rs
ZOS lattice builder with file classification system           

src/lib.rs

• Added build_zos_lattice function for constructing project file
lattices
• Implements file classification into different lattice
layers based on content
• Uses predicate classifier to analyze and
categorize project files
• Integrates with lattice model for
structured file organization

+78/-0   
main.rs
Refactored main with string analysis integration                 

report-analyzer-rs/src/main.rs

• Refactored main function to use new string analysis module
• Removed
unused imports and commented out missing function calls
• Simplified
report processing to focus on string analysis functionality
• Added
proper module declarations for new analysis components

+50/-0   
main.rs
Add lattice code generation application                                   

lattice_generator_app/src/main.rs

• Creates a new Rust application for generating lattice structures

Imports functions from lattice_code_generator crate for generating
various lattice components
• Implements file writing functionality to
output generated code to generated_lattice_code directory
• Generates
ValueType enum, HasValueCount trait/impls,
Instance/LatticeLayer/Lattice structs

+56/-0   
program_self_description.rs
Add self-describing program demonstration                               

src/program_self_description.rs

• Implements a self-describing Rust program that analyzes its own code

• Demonstrates the "word as predicate" model for program analysis

Includes functions for self-description and finding similar programs
conceptually
• Serves as an example of the theoretical framework's
self-referential capabilities

+37/-0   
lcp.rs
Add longest common prefix analysis module                               

report-analyzer-rs/src/lcp.rs

• Implements longest common prefix (LCP) analysis functionality

Provides functions to find LCP among strings and perform LCP analysis
on reports
• Extracts paths and URLs from repository data for analysis

• Includes printing functionality for LCP results

+51/-0   
my_profiling_bench.rs
Add performance benchmarking with iai-callgrind                   

benches/my_profiling_bench.rs

• Adds performance benchmarking using iai_callgrind library

Benchmarks the add function and a dummy git config parser
• Sets up
library benchmark groups for profiling analysis
• Provides
infrastructure for performance measurement

+36/-0   
types.rs
Add core data types for report analysis                                   

report-analyzer-rs/src/types.rs

• Defines core data structures for report analysis
• Includes
SubmoduleInfo, RepoInfo, FailedRepoInfo, and Report structs
• Adds
command-line argument parsing with Args struct
• Implements
serialization/deserialization for JSON handling

+47/-0   
analyze_names.rs
Add name frequency analysis functionality                               

report-analyzer-rs/src/analyze_names.rs

• Implements repository and submodule name analysis functionality

Extracts names from GitHub URLs using regex patterns
• Counts
frequency of repository and submodule names
• Processes both main
repositories and nested submodules

+30/-0   
value_type.rs
Add generated ValueType enum code                                               

generated_lattice_code/value_type.rs

• Contains generated Rust code for ValueType enum
• Defines variants
for different k-value types (Bit, ThreeValue, etc.)
• Implements count
method and zos_sequence function
• Generated code appears to be
minified/compressed format

+1/-0     
analyze_orgs.rs
Add organization frequency analysis                                           

report-analyzer-rs/src/analyze_orgs.rs

• Implements GitHub organization analysis functionality
• Extracts
organization names from GitHub URLs using regex
• Counts frequency of
organizations across repositories
• Processes both successful and
failed repository entries

+26/-0   
lattice_struct.rs
Add generated Lattice struct code                                               

generated_lattice_code/lattice_struct.rs

• Contains generated Rust code for main Lattice struct
• Defines trait
objects for polymorphic layer handling
• Implements methods for adding
layers and describing lattice
• Generated code in minified format

+1/-0     
instance_struct.rs
Add generated Instance struct code                                             

generated_lattice_code/instance_struct.rs

• Contains generated Rust code for Instance struct
• Defines generic
Instance with id, n_gram_size, and units fields
• Implements
constructor and describe methods
• Generated in minified format

+1/-0     
lattice_layer_struct.rs
Add generated LatticeLayer struct code                                     

generated_lattice_code/lattice_layer_struct.rs

• Contains generated Rust code for LatticeLayer struct
• Defines
generic layer with value_type and instances fields
• Implements
methods for adding instances and describing layer
• Generated in
minified format

+1/-0     
duplicates.rs
Add duplicate URL analysis functionality                                 

report-analyzer-rs/src/duplicates.rs

• Implements duplicate URL detection functionality
• Analyzes
repository URLs to find duplicates across different paths
• Provides
printing functionality for duplicate URL reports
• Helps identify
redundant repository entries

+25/-0   
input.rs
Add input handling and data loading module                             

report-analyzer-rs/src/input.rs

• Implements command-line argument parsing and data loading
• Loads
JSON report data and optional ontology files
• Handles file reading
and JSON deserialization
• Provides error handling for data loading
operations

+22/-0   
apply_emojis.rs
Add emoji ontology application module                                       

report-analyzer-rs/src/apply_emojis.rs

• Implements emoji ontology application functionality
• Replaces text
with corresponding emojis based on ontology mapping
• Sorts keys by
length for proper replacement order
• Provides optional emoji
enhancement for output

+18/-0   
names_analysis.rs
Add name analysis printing functionality                                 

report-analyzer-rs/src/names_analysis.rs

• Implements name frequency analysis printing functionality
• Sorts
and displays most frequently mentioned repository/submodule names

Applies emoji ontology to enhance output readability
• Limits display
to top 10 results

+14/-0   
org_analysis.rs
Add organization analysis printing functionality                 

report-analyzer-rs/src/org_analysis.rs

• Implements organization frequency analysis printing
• Sorts and
displays most frequently mentioned organizations
• Applies emoji
ontology for enhanced visualization
• Shows top 10 organizations by
frequency

+13/-0   
main.rs
Add Git repository testing application                                     

git_test_repo/src/main.rs

• Creates a simple Git repository testing application
• Uses git2
crate to open and verify repository access
• Tests repository opening
from current directory
• Provides basic Git repository validation
functionality

+10/-0   
has_value_count_impls.rs
Add generated HasValueCount trait implementation                 

generated_lattice_code/has_value_count_impls.rs

• Contains generated implementation of HasValueCount trait for bool

Provides value_count method returning 2 for boolean type
• Generated
in minified format
• Part of trait implementation system

+1/-0     
has_value_count_trait.rs
Add generated HasValueCount trait definition                         

generated_lattice_code/has_value_count_trait.rs

• Contains generated HasValueCount trait definition
• Defines trait
with value_count method
• Generated in minified format
• Core trait
for lattice type system

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

tools/gh_scripts/standardize_and_move_crqs.sh

• Implements comprehensive CRQ file standardization script
• Processes
markdown files to ensure consistent naming and headers
• Supports
dry-run mode for safe testing
• Automatically assigns CRQ numbers and
moves files to standardized directory

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

tools/gh_scripts/create_crq_workflow.sh

• Automates CRQ workflow creation process
• Creates Git branches, task
files, and GitHub pull requests
• Extracts CRQ information and formats
for GitHub integration
• Streamlines change request management
workflow

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

boot.sh

• Implements session orchestration with asciinema recording
• Starts
tmux session with logging and crash recovery
• Provides comprehensive
logging and status checking
• Integrates multiple monitoring and
recovery tools

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

tools/gh_scripts/gh_extract_actors.sh

• Extracts unique actors from GitHub issues and comments
• Uses GitHub
CLI and jq for JSON processing
• Provides comprehensive user activity
analysis
• Includes error handling and output formatting

+41/-0   
gh_workflows_view.sh
Add GitHub workflow viewing script                                             

tools/gh_scripts/gh_workflows_view.sh

• Simple wrapper script for viewing GitHub workflow runs
• Provides
usage instructions and parameter validation
• Uses GitHub CLI for
workflow inspection
• Part of GitHub CLI wrapper collection

+7/-0     
gh_workflows_rerun.sh
Add GitHub workflow rerun script                                                 

tools/gh_scripts/gh_workflows_rerun.sh

• Simple wrapper script for re-running GitHub workflows
• Includes
parameter validation and usage instructions
• Uses GitHub CLI for
workflow management
• Part of GitHub CLI wrapper collection

+7/-0     
gh_issues_view.sh
Add GitHub issue viewing script                                                   

tools/gh_scripts/gh_issues_view.sh

• Simple wrapper script for viewing GitHub issues
• Provides parameter
validation and usage help
• Uses GitHub CLI for issue inspection

Part of GitHub CLI wrapper collection

+7/-0     
gh_prs_view.sh
Add GitHub PR viewing script                                                         

tools/gh_scripts/gh_prs_view.sh

• Simple wrapper script for viewing GitHub pull requests
• Includes
parameter validation and usage instructions
• Uses GitHub CLI for PR
inspection
• Part of GitHub CLI wrapper collection

+7/-0     
gh_prs_checkout.sh
Add GitHub PR checkout script                                                       

tools/gh_scripts/gh_prs_checkout.sh

• Simple wrapper script for checking out GitHub pull requests

Provides parameter validation and usage help
• Uses GitHub CLI for
local PR checkout
• Part of GitHub CLI wrapper collection

+7/-0     
CRQ-48-lattice-and-quine-relay.md
Add CRQ for lattice framework quine relay application       

docs/crq_standardized/CRQ-48-lattice-and-quine-relay.md

• Introduces concept of applying Lattice Idea Framework to
128-language quine relay
• Proposes universal translation of lattice
concepts across all programming languages
• Describes
generate-and-test methodology for language-specific predicate
extraction
• Outlines mapping of language transformations as lattice
morphisms

+38/-0   
Tests
3 files
git-config-parser.rs
Enhanced Git config parser with comprehensive test coverage

src/bin/git-config-parser.rs

• Added comprehensive test suite for Git configuration parsing
functions
• Tests cover empty configs, sections, comments, and
multiple configurations
• Added tests for .gitmodules parsing with
submodule configurations
• Removed unused import (std::io::Read)

+131/-1 
main_execution_test.rs
Add integration test for lattice builder binary                   

project_file_lattice_builder/tests/main_execution_test.rs

• Adds integration test for project file lattice builder binary

Verifies binary exists and executes successfully
• Checks for expected
output content in stdout
• Ensures main execution workflow functions
correctly

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

submodule-collector/tests/main_execution_test.rs

• Adds integration test for submodule collector binary
• Tests binary
execution with --help flag
• Verifies expected help message content in
output
• Ensures command-line interface works correctly

+24/-0   
Miscellaneous
10 files
value_type.rs
Add duplicate generated ValueType enum                                     

generated_lattice_structure/value_type.rs

• Duplicate of generated ValueType enum code
• Same content as
generated_lattice_code/value_type.rs
• Appears to be generated in
different output directory
• Contains identical minified Rust code

+1/-0     
lattice_struct.rs
Add duplicate generated Lattice struct                                     

generated_lattice_structure/lattice_struct.rs

• Duplicate of generated Lattice struct code
• Identical content to
generated_lattice_code/lattice_struct.rs
• Same minified Rust code in
different directory
• Redundant generated file

+1/-0     
instance_struct.rs
Add duplicate generated Instance struct                                   

generated_lattice_structure/instance_struct.rs

• Duplicate of generated Instance struct code
• Same content as
generated_lattice_code/instance_struct.rs
• Identical minified Rust
code
• Redundant generated file

+1/-0     
lattice_layer_struct.rs
Add duplicate generated LatticeLayer struct                           

generated_lattice_structure/lattice_layer_struct.rs

• Duplicate of generated LatticeLayer struct code
• Same content as
generated_lattice_code/lattice_layer_struct.rs
• Identical minified
Rust code
• Redundant generated file

+1/-0     
instance_0.rs
Add k=2 layer instance placeholder                                             

generated_lattice_structure/layer_k_2/instance_0.rs

• Placeholder file for k=2 layer instance 0
• Contains comments
describing intended functionality
• Represents structure for 2-value
type instances
• Part of generated lattice hierarchy

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

generated_lattice_structure/layer_k_2/instance_1.rs

• Placeholder file for k=2 layer instance 1
• Contains comments
describing intended functionality
• Represents structure for 2-value
type instances
• Part of generated lattice hierarchy

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

generated_lattice_structure/layer_k_3/instance_0.rs

• Placeholder file for k=3 layer instance 0
• Contains comments
describing intended functionality
• Represents structure for 3-value
type instances
• Part of generated lattice hierarchy

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

generated_lattice_structure/layer_k_3/instance_1.rs

• Placeholder file for k=3 layer instance 1
• Contains comments
describing intended functionality
• Represents structure for 3-value
type instances
• Part of generated lattice hierarchy

+3/-0     
has_value_count_impls.rs
Add duplicate HasValueCount implementation                             

generated_lattice_structure/has_value_count_impls.rs

• Duplicate of HasValueCount trait implementation
• Same content as
generated_lattice_code/has_value_count_impls.rs
• Identical minified
code
• Redundant generated file

+1/-0     
has_value_count_trait.rs
Add duplicate HasValueCount trait definition                         

generated_lattice_structure/has_value_count_trait.rs

• Duplicate of HasValueCount trait definition
• Same content as
generated_lattice_code/has_value_count_trait.rs
• Identical minified
code
• Redundant generated file

+1/-0     
Documentation
4 files
submodule_report.json
Add comprehensive submodule dependency report JSON             

submodule_report.json

• Added comprehensive JSON report documenting all Git submodules
across the project
• Contains detailed information for 100+
repositories including paths, URLs, and nested submodules
• Maps out
complex dependency relationships between various meta-introspector
projects and external dependencies
• Includes submodules for
development tools, language support, eBPF utilities, and various
specialized libraries

+2021/-0
structured_testing_framework.md
Add structured testing framework documentation                     

docs/structured_testing_framework.md

• Defines systematic testing framework based on Lattice Idea
principles
• Outlines lattice-guided test case generation and
predicate-driven assertions
• Describes layered evaluation methodology
from simple to complex predicates
• Provides examples for LLM testing
and code analysis validation

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

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

• Documents analysis requirements for Nix development environment
dependency graph
• Outlines systematic examination of DOT file nodes
and edges
• Defines reflection and documentation objectives for graph
structure insights
• Includes partial progress notes on initial graph
generation observations

+58/-0   
SOP_Bootstrap_CRQ_Hypothesis_Implementation.md
Add SOP for Bootstrap CRQ implementation                                 

docs/sops/SOP_Bootstrap_CRQ_Hypothesis_Implementation.md

• Establishes standard operating procedure for Bootstrap CRQ
Hypothesis implementation
• Defines principles for CRQ-driven
development including granular change tracking
• Outlines branch
management, incremental construction, and quality gate requirements

Emphasizes 100% readiness criteria and living documentation practices

+45/-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-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   
CRQ-53-recursive-decomposition.md +40/-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   
scalable_analysis_of_large_repositories.md +40/-0   
SOP_AI_Agent_Management_via_PRs.md +57/-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_combinatorial_analysis.tex +2/-0     
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     
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Compilation Error

The file content is wrapped in triple quotes and contains non-Rust syntax, which will not compile. Replace the triple-quoted block with valid Rust code (or remove the quotes) so the module builds.

"""//! 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()
}
""
Type Mismatch

In the generated LatticeLayer code, the struct defines instances: Vec<T> but add_instance pushes Instance<T>. Also, it calls value_count() as if it were an instance method (instance.units[0].value_count()), whereas the trait defines it as an associated function and should be called as T::value_count(). Update the generated code to use Vec<Instance<T>> and T::value_count().

    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);
    }
Main Return Mismatch

main() returns Ok(()) but is declared without a Result return type. Either change the signature to fn main() -> Result<(), Box<dyn std::error::Error>> or remove the Ok(()) tail expression.

    println!("\n--- Lattice Mapping Concluded ---");
    println!("This program conceptually demonstrates the 'generate and then match' process,");
    println!("where existing code is classified and mapped into a pre-generated lattice structure.");

    Ok(())
}

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PR Code Suggestions ✨

Explore these optional code suggestions:

CategorySuggestion                                                                                                                                    Impact
High-level
Unify and fix core lattice types

The PR has multiple conflicting definitions for core types like ValueType and
LatticeLayer across different crates. The code generator produces a broken
LatticeLayer implementation, and there are type mismatches that lead to runtime
panics (e.g., a ThreeValue layer holding bool units). The suggestion is to
create a single, canonical crate for these types, fix the code generator, and
ensure type consistency throughout the project to resolve these critical issues.

Examples:

lattice_code_generator/src/lib.rs [112-123]
src/lib.rs [27-68]

Solution Walkthrough:

Before:

// In lattice_code_generator/src/lib.rs
fn generate_lattice_layer_struct() -> TokenStream {
    quote! {
        pub struct LatticeLayer<T: ...> {
            pub instances: Vec<T>, // Incorrectly a Vec of the generic type T
        }
        impl<T: ...> LatticeLayer<T> {
            pub fn add_instance(&mut self, instance: Instance<T>) {
                // This push is a type mismatch: pushing Instance<T> into Vec<T>
                self.instances.push(instance);
            }
        }
    }
}

// In src/lib.rs
fn build_zos_lattice(...) {
    // Incorrectly creates a layer for ThreeValue but for units of type `bool`
    let mut crq_documentation_layer = LatticeLayer::<bool>::new(ValueType::ThreeValue);
    ...
    // This will panic at runtime due to the assert in add_instance
    crq_documentation_layer.add_instance(instance);
}

After:

// In a new, single `lattice_types` crate
pub struct LatticeLayer<T: ...> {
    pub instances: Vec<Instance<T>>, // Correctly a Vec of Instance<T>
}
impl<T: ...> LatticeLayer<T> {
    pub fn add_instance(&mut self, instance: Instance<T>) {
        assert_eq!(T::value_count(), self.value_type.count());
        self.instances.push(instance); // This now works
    }
}
// All other crates use this canonical definition.

// In src/lib.rs
fn build_zos_lattice(...) {
    // Correctly create a layer for ThreeValue with units of a 3-value type
    let mut crq_documentation_layer = LatticeLayer::<ThreeValueUnit>::new(ValueType::ThreeValue);
    ...
    // This will now pass the assertion
    crq_documentation_layer.add_instance(instance);
}
Suggestion importance[1-10]: 10

__

Why: This suggestion correctly identifies critical, widespread design flaws and bugs, including conflicting type definitions across multiple new crates and a broken code generator, which render the core logic of the PR dysfunctional and internally inconsistent.

High
Possible issue
Fix incomplete match statement

The count method's match statement is missing return values for each variant.
Each match arm should return the appropriate count value for that variant type.

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 (u8) , PrimeValue11 (u8) , PrimeValue13 (u8) , PrimeValue17 (u8) , PrimeValue19 (u8) , } 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 (0) , ValueType :: PrimeValue11 (0) , ValueType :: PrimeValue13 (0) , ValueType :: PrimeValue17 (0) , ValueType :: PrimeValue19 (0) ,] } }

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 10

__

Why: The suggestion correctly identifies a syntax error in the match statement within the count function, which would prevent the code from compiling.

High
Fix incorrect generic type

The instances field type should be Vec<Instance> instead of Vec to properly store
instances. The add_instance method expects Instance but pushes to a Vec.

generated_lattice_code/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]: 10

__

Why: The suggestion correctly identifies a type mismatch in the LatticeLayer struct that would cause a compilation error, as add_instance expects an Instance<T> but the instances field is a Vec<T>.

High
Remove stray quotes and fix println

The file is wrapped in stray triple quotes and contains an invalid println!
format string, causing compilation failure. Remove the quotes and escape the
inner quotes in the format string.

src/grand_unified_search.rs [1-149]

-"""//! This program conceptually outlines a "Grand Unified Search" system in Rust.
+//! This program conceptually outlines a "Grand Unified Search" system in Rust.
 ...
-println!("  Query: "{}"", query_text);
+println!("  Query: \"{}\"", query_text);
 ...
-""

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 9

__

Why: The suggestion correctly identifies that the entire file is wrapped in triple quotes, making it an invalid Rust program, and also points out a separate compilation error in a println! macro.

High
Fix mismatched k-value for layers

These layers use bool units (k=2) but are initialized with ValueType::ThreeValue
(k=3). This will trigger the layer's value-count assert at runtime. Align the
ValueType with the unit type to prevent panics.

src/lib.rs [27-29]

-let mut crq_documentation_layer = LatticeLayer::<bool>::new(ValueType::ThreeValue);
-let mut meme_documentation_layer = LatticeLayer::<bool>::new(ValueType::ThreeValue);
-let mut general_documentation_layer = LatticeLayer::<bool>::new(ValueType::ThreeValue);
+let mut crq_documentation_layer = LatticeLayer::<bool>::new(ValueType::Bit);
+let mut meme_documentation_layer = LatticeLayer::<bool>::new(ValueType::Bit);
+let mut general_documentation_layer = LatticeLayer::<bool>::new(ValueType::Bit);

[To ensure code accuracy, apply this suggestion manually]

Suggestion importance[1-10]: 8

__

Why: The suggestion correctly identifies a definite runtime panic caused by a mismatch between the layer's ValueType and its generic unit type, which will fail an assertion in add_instance.

Medium
  • More

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

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@coderabbitai review

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