1 files changed, 0 insertions, 380 deletions
diff --git a/awk/rawk/ENHANCED_UTILITIES_PLAN.md b/awk/rawk/ENHANCED_UTILITIES_PLAN.md
deleted file mode 100644
index 816ceb5..0000000
--- a/awk/rawk/ENHANCED_UTILITIES_PLAN.md
+++ /dev/null
@@ -1,380 +0,0 @@
-# Enhanced Functional Programming Utilities Implementation Plan
-
-## Overview
-
-This document outlines the plan to implement additional functional programming utilities in the `rawk` language, building upon the successful implementation of `map()`, `reduce()`, and `pipe()` functions.
-
-## Current State
-
-### ✅ Implemented Functions
-- `map(func_name, array, result)`: Apply function to each element
-- `reduce(func_name, array, initial)`: Reduce array with function
-- `pipe(value, func_name)`: Single function pipeline
-- `pipe_multi(value, func_names)`: Multiple function pipeline
-- `dispatch_call(func_name, arg1, arg2, ...)`: Dynamic function dispatch
-
-### ✅ Array Utilities
-- `keys(array)`: Count of array keys
-- `values(array)`: Count of array values
-- `get_keys(array, result)`: Get array keys
-- `get_values(array, result)`: Get array values
-
-## Enhanced Utilities to Implement
-
-### 1. `filter()` - Array Filtering
-
-**Function Name Analysis:**
-- **`filter`**: ✅ **RECOMMENDED** - Standard, well-known, descriptive
-- `select`: ❌ Too generic, could be confused with SQL
-- `where`: ❌ SQL-like, not functional programming standard
-- `keep`: ❌ Less common, unclear intent
-
-**Implementation:**
-```awk
-function filter(predicate_func, array, result, i) {
-    # Filter array elements based on predicate function
-    for (i in array) {
-        if (dispatch_call(predicate_func, array[i])) {
-            result[i] = array[i]
-        }
-    }
-    return keys(result)
-}
-```
-
-**Usage Examples:**
-```rawk
-$is_positive = (x) -> x > 0;
-$is_even = (x) -> x % 2 == 0;
-$is_valid_email = (email) -> is_email(email);
-
-# Filter positive numbers
-positive_count = filter("is_positive", numbers, positive_numbers)
-
-# Filter even numbers
-even_count = filter("is_even", numbers, even_numbers)
-
-# Filter valid emails
-valid_emails_count = filter("is_valid_email", emails, valid_emails)
-```
-
-### 2. `flatMap()` - Flatten and Map
-
-**Function Name Analysis:**
-- **`flatMap`**: ✅ **RECOMMENDED** - Standard functional programming term
-- `chain`: ❌ Less descriptive, could mean different things
-- `flatten_map`: ❌ Too verbose
-- `map_flatten`: ❌ Less common ordering
-
-**Implementation:**
-```awk
-function flatMap(func_name, array, result, i, temp_array, temp_count, j) {
-    # Apply function to each element and flatten the result
-    for (i in array) {
-        temp_count = dispatch_call(func_name, array[i], temp_array)
-        for (j = 1; j <= temp_count; j++) {
-            result[keys(result) + 1] = temp_array[j]
-        }
-    }
-    return keys(result)
-}
-```
-
-**Usage Examples:**
-```rawk
-$split_words = (text, result) -> {
-    split(text, result, " ")
-    return length(result)
-};
-
-$get_tags = (item, result) -> {
-    split(item["tags"], result, ",")
-    return length(result)
-};
-
-# Flatten nested arrays
-texts[1] = "hello world"
-texts[2] = "functional programming"
-texts[3] = "awk is awesome"
-
-words_count = flatMap("split_words", texts, all_words)
-# Result: ["hello", "world", "functional", "programming", "awk", "is", "awesome"]
-
-# Extract and flatten tags from items
-tags_count = flatMap("get_tags", items, all_tags)
-```
-
-### 3. `zip()` - Array Combination
-
-**Function Name Analysis:**
-- **`zip`**: ✅ **RECOMMENDED** - Standard, well-known, descriptive
-- `combine`: ❌ Too generic, could mean different operations
-- `pair`: ❌ Less descriptive, doesn't imply multiple elements
-- `interleave`: ❌ Less common, more complex than needed
-
-**Implementation:**
-```awk
-function zip(array1, array2, result, i, keys1, keys2, count1, count2) {
-    # Zip two arrays together
-    count1 = get_keys(array1, keys1)
-    count2 = get_keys(array2, keys2)
-    
-    for (i = 1; i <= count1 && i <= count2; i++) {
-        result[i]["first"] = array1[keys1[i]]
-        result[i]["second"] = array2[keys2[i]]
-    }
-    return (count1 < count2) ? count1 : count2
-}
-```
-
-**Usage Examples:**
-```rawk
-# Zip names and ages
-names[1] = "Alice"
-names[2] = "Bob"
-names[3] = "Charlie"
-
-ages[1] = 25
-ages[2] = 30
-ages[3] = 35
-
-pairs_count = zip(names, ages, name_age_pairs)
-# Result: [{"first": "Alice", "second": 25}, {"first": "Bob", "second": 30}, ...]
-
-# Zip with different array lengths (truncates to shorter)
-short_array[1] = "a"
-short_array[2] = "b"
-
-long_array[1] = 1
-long_array[2] = 2
-long_array[3] = 3
-long_array[4] = 4
-
-zipped_count = zip(short_array, long_array, pairs)
-# Result: [{"first": "a", "second": 1}, {"first": "b", "second": 2}]
-```
-
-### 4. `zipWith()` - Array Combination with Function
-
-**Function Name Analysis:**
-- **`zipWith`**: ✅ **RECOMMENDED** - Standard functional programming term
-- `zip_apply`: ❌ Less common
-- `combine_with`: ❌ Too verbose
-- `zip_map`: ❌ Could be confused with flatMap
-
-**Implementation:**
-```awk
-function zipWith(func_name, array1, array2, result, i, keys1, keys2, count1, count2) {
-    # Zip two arrays and apply function to each pair
-    count1 = get_keys(array1, keys1)
-    count2 = get_keys(array2, keys2)
-    
-    for (i = 1; i <= count1 && i <= count2; i++) {
-        result[i] = dispatch_call(func_name, array1[keys1[i]], array2[keys2[i]])
-    }
-    return (count1 < count2) ? count1 : count2
-}
-```
-
-**Usage Examples:**
-```rawk
-$add = (x, y) -> x + y;
-$concat = (str1, str2) -> str1 " " str2;
-$create_user = (name, age) -> name " (" age ")";
-
-# Zip with addition
-numbers1[1] = 1
-numbers1[2] = 2
-numbers1[3] = 3
-
-numbers2[1] = 10
-numbers2[2] = 20
-numbers2[3] = 30
-
-sums_count = zipWith("add", numbers1, numbers2, sums)
-# Result: [11, 22, 33]
-
-# Zip with string concatenation
-first_names[1] = "John"
-first_names[2] = "Jane"
-
-last_names[1] = "Doe"
-last_names[2] = "Smith"
-
-full_names_count = zipWith("concat", first_names, last_names, full_names)
-# Result: ["John Doe", "Jane Smith"]
-```
-
-### 5. `take()` and `drop()` - Array Slicing
-
-**Function Name Analysis:**
-- **`take`**: ✅ **RECOMMENDED** - Standard functional programming term
-- **`drop`**: ✅ **RECOMMENDED** - Standard functional programming term
-- `head`/`tail`: ❌ Less descriptive for arbitrary lengths
-- `slice`/`skip`: ❌ Less common in functional programming
-
-**Implementation:**
-```awk
-function take(count, array, result, i, keys, key_count) {
-    # Take first n elements from array
-    key_count = get_keys(array, keys)
-    for (i = 1; i <= count && i <= key_count; i++) {
-        result[i] = array[keys[i]]
-    }
-    return (count < key_count) ? count : key_count
-}
-
-function drop(count, array, result, i, keys, key_count) {
-    # Drop first n elements from array
-    key_count = get_keys(array, keys)
-    for (i = count + 1; i <= key_count; i++) {
-        result[i - count] = array[keys[i]]
-    }
-    return (count < key_count) ? key_count - count : 0
-}
-```
-
-**Usage Examples:**
-```rawk
-# Take first 3 elements
-numbers[1] = 1
-numbers[2] = 2
-numbers[3] = 3
-numbers[4] = 4
-numbers[5] = 5
-
-first_three_count = take(3, numbers, first_three)
-# Result: [1, 2, 3]
-
-# Drop first 2 elements
-remaining_count = drop(2, numbers, remaining)
-# Result: [3, 4, 5]
-```
-
-### 6. `find()` and `findIndex()` - Array Searching
-
-**Function Name Analysis:**
-- **`find`**: ✅ **RECOMMENDED** - Standard, well-known
-- **`findIndex`**: ✅ **RECOMMENDED** - Standard, well-known
-- `search`/`searchIndex`: ❌ Less common in functional programming
-- `locate`/`locateIndex`: ❌ Less common
-
-**Implementation:**
-```awk
-function find(predicate_func, array, i, keys, key_count) {
-    # Find first element that matches predicate
-    key_count = get_keys(array, keys)
-    for (i = 1; i <= key_count; i++) {
-        if (dispatch_call(predicate_func, array[keys[i]])) {
-            return array[keys[i]]
-        }
-    }
-    return ""  # Not found
-}
-
-function findIndex(predicate_func, array, i, keys, key_count) {
-    # Find index of first element that matches predicate
-    key_count = get_keys(array, keys)
-    for (i = 1; i <= key_count; i++) {
-        if (dispatch_call(predicate_func, array[keys[i]])) {
-            return i
-        }
-    }
-    return 0  # Not found
-}
-```
-
-**Usage Examples:**
-```rawk
-$is_positive = (x) -> x > 0;
-$is_even = (x) -> x % 2 == 0;
-$has_error = (log) -> index(log, "ERROR") > 0;
-
-# Find first positive number
-first_positive = find("is_positive", numbers)
-
-# Find index of first even number
-first_even_index = findIndex("is_even", numbers)
-
-# Find first error log
-first_error = find("has_error", logs)
-```
-
-## Implementation Strategy
-
-### Phase 1: Core Filtering and Searching
-1. **`filter()`** - Most commonly used, fundamental utility
-2. **`find()`** and **`findIndex()`** - Essential for data processing
-
-### Phase 2: Array Transformation
-3. **`flatMap()`** - Advanced array transformation
-4. **`take()`** and **`drop()`** - Array slicing utilities
-
-### Phase 3: Array Combination
-5. **`zip()`** - Basic array combination
-6. **`zipWith()`** - Advanced array combination with functions
-
-## Testing Strategy
-
-### Unit Tests
-- Test each function with various array types
-- Test edge cases (empty arrays, single elements)
-- Test error conditions and invalid inputs
-
-### Integration Tests
-- Test combinations of functions (e.g., `filter` + `map`)
-- Test with real-world data processing scenarios
-- Test performance with large arrays
-
-### Example Test Cases
-```rawk
-# Test filter function
-$is_positive = (x) -> x > 0;
-numbers[1] = -1
-numbers[2] = 0
-numbers[3] = 1
-numbers[4] = -5
-numbers[5] = 10
-
-positive_count = filter("is_positive", numbers, positive_numbers)
-expect_equal(positive_count, 2, "Should find 2 positive numbers")
-expect_equal(positive_numbers[1], 1, "First positive should be 1")
-expect_equal(positive_numbers[2], 10, "Second positive should be 10")
-
-# Test zip function
-names[1] = "Alice"
-names[2] = "Bob"
-ages[1] = 25
-ages[2] = 30
-
-pairs_count = zip(names, ages, pairs)
-expect_equal(pairs_count, 2, "Should create 2 pairs")
-expect_equal(pairs[1]["first"], "Alice", "First pair first should be Alice")
-expect_equal(pairs[1]["second"], 25, "First pair second should be 25")
-```
-
-## Success Criteria
-
-- [ ] All functions work correctly with various array types
-- [ ] Functions handle edge cases gracefully
-- [ ] Performance is acceptable for typical use cases
-- [ ] All existing tests continue to pass
-- [ ] Documentation is updated with examples
-- [ ] Integration with existing functional programming features
-
-## Future Enhancements
-
-### Phase 4: Advanced Utilities
-- **`groupBy()`** - Group array elements by key function
-- **`partition()`** - Split array into two based on predicate
-- **`sortBy()`** - Sort array using comparison function
-- **`unique()`** - Remove duplicate elements
-
-### Phase 5: Performance Optimizations
-- **Lazy evaluation** for large arrays
-- **Stream processing** for memory efficiency
-- **Parallel processing** where possible
-
-## Conclusion
-
-This plan provides a clear path to implementing comprehensive functional programming utilities in rawk. The chosen function names are standard, well-known, and descriptive, ensuring they will be familiar to developers with functional programming experience while remaining accessible to AWK users. 
\ No newline at end of file