From 41942eb9c9b41467d2b14e6254e1256b9870c3e7 Mon Sep 17 00:00:00 2001 From: Wendell Jones Date: Wed, 24 Jun 2026 14:35:29 -0400 Subject: [PATCH] Add advanced pattern detection features to Powerball reader - Enhanced CSV parsing script to include advanced statistical analyses. - Implemented functions to detect consecutive numbers, odd/even distributions, high/low distributions, sum patterns, gap patterns, hot/cold numbers, overdue numbers, number pairs, and decade distributions. - Integrated pattern analysis results into combination generation for more strategic number selection. - Updated main function to run advanced analyses and generate pattern-based combinations. --- .../cron_scripts/fancontrol/set_fanspeed.py | 2 +- personal/cron_scripts/pg_backup.sh | 10 + personal/tools/fix_csv.py | 47 + personal/tools/powerball_numbers.csv | 1964 +++++++++++++++++ personal/tools/powerball_numbers.csv.backup | 1963 ++++++++++++++++ personal/tools/powerball_reader.py | 598 ++++- 6 files changed, 4569 insertions(+), 15 deletions(-) create mode 100644 personal/tools/fix_csv.py create mode 100644 personal/tools/powerball_numbers.csv create mode 100644 personal/tools/powerball_numbers.csv.backup diff --git a/personal/cron_scripts/fancontrol/set_fanspeed.py b/personal/cron_scripts/fancontrol/set_fanspeed.py index 0506672..6b13c65 100644 --- a/personal/cron_scripts/fancontrol/set_fanspeed.py +++ b/personal/cron_scripts/fancontrol/set_fanspeed.py @@ -22,7 +22,7 @@ IPMIPW = None IPMIEK = DEFAULT_EK # Fan / temperature settings -FANSPEED = 20 # percent +FANSPEED = 15 # percent MAXTEMP = 37 # Celsius def build_ipmi_base(): diff --git a/personal/cron_scripts/pg_backup.sh b/personal/cron_scripts/pg_backup.sh index 40b2f36..54a5dbf 100644 --- a/personal/cron_scripts/pg_backup.sh +++ b/personal/cron_scripts/pg_backup.sh @@ -77,6 +77,16 @@ clean_walfiles() { fi done < <(find "$WAL_ARCHIVE_DIR" -maxdepth 1 -type f ! -name '*.backup' -print0) + # Also delete old .backup files (except the newest one) that exceed retention period + for backup_file in "${backup_files[@]}"; do + if [[ "$backup_file" != "$newest_backup" ]]; then + backup_ts=$(stat -c %Y "$backup_file") + if [[ "$backup_ts" -lt "$age_cutoff_ts" ]]; then + files_to_delete+=("$backup_file") + fi + fi + done + if [[ ${#files_to_delete[@]} -eq 0 ]]; then log "No WAL files matched cleanup criteria." return 0 diff --git a/personal/tools/fix_csv.py b/personal/tools/fix_csv.py new file mode 100644 index 0000000..99e6f49 --- /dev/null +++ b/personal/tools/fix_csv.py @@ -0,0 +1,47 @@ +#!/usr/bin/env python3 +"""Fix the powerball CSV file format.""" + +import shutil + +# Read the original file +with open('powerball_numbers.csv', 'r') as f: + lines = f.readlines() + +# Create backup +shutil.copy('powerball_numbers.csv', 'powerball_numbers.csv.backup') + +# Open output file +with open('powerball_numbers.csv', 'w') as f: + # Write header + f.write('Draw Date,Winning Numbers,Multiplier\n') + + # Process each line + for line in lines: + parts = line.strip().split(',') + + # Extract components + month = parts[0] + day_year = parts[1].split('/') + day = day_year[0] + year = day_year[1] + + # Format date as MM/DD/YYYY + date = f"{int(month):02d}/{int(day):02d}/{year}" + + # Get the 6 winning numbers (5 white balls + 1 powerball) + numbers = ' '.join(parts[2:8]) + + # Get the multiplier + multiplier = parts[8] + + # Write the formatted line + f.write(f'{date},{numbers},{multiplier}\n') + +print("✓ File fixed! Created backup at powerball_numbers.csv.backup") +print("\nFirst few lines of fixed file:") +with open('powerball_numbers.csv', 'r') as f: + for i, line in enumerate(f): + if i < 5: + print(line.strip()) + else: + break diff --git a/personal/tools/powerball_numbers.csv b/personal/tools/powerball_numbers.csv new file mode 100644 index 0000000..7ce4c21 --- /dev/null +++ b/personal/tools/powerball_numbers.csv @@ -0,0 +1,1964 @@ +Draw Date,Winning Numbers,Multiplier +02/03/2010,37 52 22 36 17 24,2 +02/06/2010,22 54 52 14 59 4,3 +02/10/2010,29 8 37 38 5 34,5 +02/13/2010,14 10 40 51 30 1,4 +02/17/2010,36 7 26 8 19 15,3 +02/20/2010,13 54 41 37 27 32,2 +02/24/2010,50 17 57 35 4 12,2 +02/27/2010,47 18 58 53 51 30,2 +03/03/2010,14 49 9 7 45 23,4 +03/06/2010,41 33 10 59 29 15,2 +03/10/2010,41 37 17 50 21 1,2 +03/13/2010,16 36 20 6 31 8,5 +03/17/2010,55 26 48 45 24 8,2 +03/20/2010,9 36 44 45 39 9,2 +03/24/2010,14 49 39 24 20 7,3 +03/27/2010,21 7 32 52 44 10,4 +03/31/2010,13 45 54 5 17 12,5 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+6,6/2026,64,16,59,55,32,3,3 +6,8/2026,34,43,49,24,3,20,3 +6,10/2026,12,66,38,60,31,14,2 +6,13/2026,50,13,44,3,53,2,4 +6,15/2026,62,55,60,57,25,23,2 +6,17/2026,49,53,3,26,61,12,2 +6,20/2026,16,20,48,50,44,15,2 +6,22/2026,19,17,48,21,45,13,2 diff --git a/personal/tools/powerball_reader.py b/personal/tools/powerball_reader.py index 410a624..8b6113b 100644 --- a/personal/tools/powerball_reader.py +++ b/personal/tools/powerball_reader.py @@ -1,13 +1,14 @@ #!/usr/bin/env python3 """ -Script to read and parse Powerball numbers from a CSV file. +Script to read and parse Powerball numbers from a CSV file with advanced pattern detection. """ import csv -from datetime import datetime +from datetime import datetime, timedelta from pathlib import Path -from typing import List, Dict, Tuple, Optional -from collections import Counter +from typing import List, Dict, Tuple, Optional, Set +from collections import Counter, defaultdict +from itertools import combinations def read_powerball_csv(filepath: str) -> List[Dict]: @@ -115,8 +116,8 @@ def _get_recency_weighted_top_numbers(draws: List[Dict]) -> Tuple[List[int], Opt sorted_draws = sorted(draws, key=lambda x: x['draw_date']) total_draws = len(sorted_draws) - white_scores = Counter() - powerball_scores = Counter() + white_scores: Dict[int, float] = defaultdict(float) + powerball_scores: Dict[int, float] = defaultdict(float) for index, entry in enumerate(sorted_draws, start=1): weight = index / total_draws @@ -128,8 +129,8 @@ def _get_recency_weighted_top_numbers(draws: List[Dict]) -> Tuple[List[int], Opt if len(numbers) >= 6: powerball_scores[numbers[5]] += weight - top_white = [number for number, _ in white_scores.most_common(5)] - top_powerball = powerball_scores.most_common(1)[0][0] if powerball_scores else None + top_white = [number for number, _ in sorted(white_scores.items(), key=lambda x: x[1], reverse=True)[:5]] + top_powerball = max(powerball_scores.items(), key=lambda x: x[1])[0] if powerball_scores else None return top_white, top_powerball @@ -142,8 +143,8 @@ def _get_aggressive_recency_weighted_top_numbers(draws: List[Dict]) -> Tuple[Lis sorted_draws = sorted(draws, key=lambda x: x['draw_date']) total_draws = len(sorted_draws) - white_scores = Counter() - powerball_scores = Counter() + white_scores: Dict[int, float] = defaultdict(float) + powerball_scores: Dict[int, float] = defaultdict(float) for index, entry in enumerate(sorted_draws, start=1): normalized_position = index / total_draws @@ -156,8 +157,8 @@ def _get_aggressive_recency_weighted_top_numbers(draws: List[Dict]) -> Tuple[Lis if len(numbers) >= 6: powerball_scores[numbers[5]] += weight - top_white = [number for number, _ in white_scores.most_common(5)] - top_powerball = powerball_scores.most_common(1)[0][0] if powerball_scores else None + top_white = [number for number, _ in sorted(white_scores.items(), key=lambda x: x[1], reverse=True)[:5]] + top_powerball = max(powerball_scores.items(), key=lambda x: x[1])[0] if powerball_scores else None return top_white, top_powerball @@ -171,7 +172,7 @@ def analyze_most_frequent_numbers(data: List[Dict]) -> Dict: """ if not data: print("No data to analyze.") - return + return {} # Initialize lists to hold numbers for each position num_positions = len(data[0]['winning_numbers']) @@ -267,7 +268,7 @@ def generate_suggested_combination(stats: dict) -> None: print("Suggested Combination Based on Statistical Analysis") print("=" * 60) - print("\n⚠️ DISCLAIMER: This is purely statistical analysis.") + print("\n*** DISCLAIMER: This is purely statistical analysis.") print("Past results do NOT predict future outcomes.") print("Each draw is random and independent.\n") @@ -350,6 +351,569 @@ def generate_suggested_combination(stats: dict) -> None: print("Insufficient data to generate a suggestion.") +def detect_consecutive_patterns(data: List[Dict]) -> Dict: + """ + Analyze frequency of consecutive numbers in draws. + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary with consecutive number statistics + """ + consecutive_counts = Counter() + total_draws = len(data) + draws_with_consecutives = 0 + consecutive_pairs = [] + + for entry in data: + white_balls = sorted(entry['winning_numbers'][:5]) + has_consecutive = False + + for i in range(len(white_balls) - 1): + if white_balls[i+1] - white_balls[i] == 1: + consecutive_counts[f"{white_balls[i]}-{white_balls[i+1]}"] += 1 + consecutive_pairs.append((white_balls[i], white_balls[i+1])) + has_consecutive = True + + if has_consecutive: + draws_with_consecutives += 1 + + print("\n" + "=" * 60) + print("PATTERN: Consecutive Numbers Analysis") + print("=" * 60) + percentage = (draws_with_consecutives / total_draws) * 100 if total_draws > 0 else 0 + print(f"Draws with consecutive numbers: {draws_with_consecutives}/{total_draws} ({percentage:.1f}%)") + + if consecutive_counts: + print("\nMost common consecutive pairs:") + for pair, count in consecutive_counts.most_common(10): + pair_pct = (count / total_draws) * 100 + print(f" {pair}: {count} times ({pair_pct:.1f}%)") + + return { + 'draws_with_consecutives': draws_with_consecutives, + 'percentage': percentage, + 'common_pairs': dict(consecutive_counts.most_common(10)) + } + + +def detect_odd_even_patterns(data: List[Dict]) -> Dict: + """ + Analyze odd/even distribution patterns. + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary with odd/even distribution statistics + """ + distribution = Counter() + + for entry in data: + white_balls = entry['winning_numbers'][:5] + odd_count = sum(1 for num in white_balls if num % 2 == 1) + even_count = 5 - odd_count + distribution[f"{odd_count}odd-{even_count}even"] += 1 + + print("\n" + "=" * 60) + print("PATTERN: Odd/Even Distribution") + print("=" * 60) + print("Distribution of odd vs even numbers:") + + total = sum(distribution.values()) + for pattern, count in sorted(distribution.items(), key=lambda x: x[1], reverse=True): + percentage = (count / total) * 100 + print(f" {pattern}: {count} times ({percentage:.1f}%)") + + return {'distribution': dict(distribution)} + + +def detect_high_low_patterns(data: List[Dict]) -> Dict: + """ + Analyze high/low number distribution (1-35 = low, 36-69 = high). + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary with high/low distribution statistics + """ + distribution = Counter() + SPLIT_POINT = 35 + + for entry in data: + white_balls = entry['winning_numbers'][:5] + low_count = sum(1 for num in white_balls if num <= SPLIT_POINT) + high_count = 5 - low_count + distribution[f"{low_count}low-{high_count}high"] += 1 + + print("\n" + "=" * 60) + print(f"PATTERN: High/Low Distribution (Low: 1-{SPLIT_POINT}, High: {SPLIT_POINT+1}-69)") + print("=" * 60) + print("Distribution of low vs high numbers:") + + total = sum(distribution.values()) + for pattern, count in sorted(distribution.items(), key=lambda x: x[1], reverse=True): + percentage = (count / total) * 100 + print(f" {pattern}: {count} times ({percentage:.1f}%)") + + return {'distribution': dict(distribution)} + + +def detect_sum_patterns(data: List[Dict]) -> Dict: + """ + Analyze the sum of winning numbers. + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary with sum statistics + """ + sums = [] + + for entry in data: + white_balls = entry['winning_numbers'][:5] + total = sum(white_balls) + sums.append(total) + + print("\n" + "=" * 60) + print("PATTERN: Sum of Winning Numbers") + print("=" * 60) + + avg_sum = sum(sums) / len(sums) if sums else 0 + min_sum = min(sums) if sums else 0 + max_sum = max(sums) if sums else 0 + + print(f"Average sum: {avg_sum:.1f}") + print(f"Range: {min_sum} - {max_sum}") + + # Create buckets for sum ranges + buckets = Counter() + for s in sums: + bucket = (s // 25) * 25 # Group into 25-number ranges + buckets[f"{bucket}-{bucket+24}"] += 1 + + print("\nSum distribution by range:") + for range_str, count in sorted(buckets.items(), key=lambda x: int(x[0].split('-')[0])): + percentage = (count / len(sums)) * 100 + print(f" {range_str}: {count} times ({percentage:.1f}%)") + + return { + 'average': avg_sum, + 'min': min_sum, + 'max': max_sum, + 'buckets': dict(buckets) + } + + +def detect_gap_patterns(data: List[Dict]) -> Dict: + """ + Analyze gaps (spacing) between consecutive numbers when sorted. + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary with gap statistics + """ + all_gaps = [] + + for entry in data: + white_balls = sorted(entry['winning_numbers'][:5]) + gaps = [white_balls[i+1] - white_balls[i] for i in range(len(white_balls) - 1)] + all_gaps.extend(gaps) + + print("\n" + "=" * 60) + print("PATTERN: Gap Analysis (spacing between sorted numbers)") + print("=" * 60) + + avg_gap = sum(all_gaps) / len(all_gaps) if all_gaps else 0 + gap_counter = Counter(all_gaps) + + print(f"Average gap: {avg_gap:.1f}") + print("\nMost common gap sizes:") + for gap, count in gap_counter.most_common(10): + percentage = (count / len(all_gaps)) * 100 + print(f" Gap of {gap}: {count} times ({percentage:.1f}%)") + + return { + 'average_gap': avg_gap, + 'gap_distribution': dict(gap_counter.most_common(15)) + } + + +def detect_hot_cold_numbers(data: List[Dict], recent_draws: int = 20) -> Dict: + """ + Identify hot (frequently appearing) and cold (rarely appearing) numbers in recent draws. + + Args: + data: List of powerball data dictionaries + recent_draws: Number of recent draws to analyze + + Returns: + Dictionary with hot/cold number analysis + """ + sorted_data = sorted(data, key=lambda x: x['draw_date']) + recent = sorted_data[-recent_draws:] if len(sorted_data) >= recent_draws else sorted_data + + white_counter = Counter() + powerball_counter = Counter() + + for entry in recent: + for num in entry['winning_numbers'][:5]: + white_counter[num] += 1 + if len(entry['winning_numbers']) >= 6: + powerball_counter[entry['winning_numbers'][5]] += 1 + + print("\n" + "=" * 60) + print(f"PATTERN: Hot & Cold Numbers (Last {len(recent)} draws)") + print("=" * 60) + + print(f"\nHottest white balls (appeared most in last {len(recent)} draws):") + for num, count in white_counter.most_common(10): + print(f" {num}: {count} times") + + print(f"\nHottest Powerballs:") + for num, count in powerball_counter.most_common(5): + print(f" {num}: {count} times") + + # Cold numbers - all possible white ball numbers (1-69) that appeared least + all_white_numbers = set(range(1, 70)) + appeared = set(white_counter.keys()) + not_appeared = all_white_numbers - appeared + + print(f"\nColdest white balls (appeared least or not at all):") + cold_numbers = sorted( + [(num, white_counter.get(num, 0)) for num in all_white_numbers], + key=lambda x: (x[1], x[0]) + )[:10] + + for num, count in cold_numbers: + if count == 0: + print(f" {num}: 0 times (not appeared)") + else: + print(f" {num}: {count} times") + + return { + 'hot_white': dict(white_counter.most_common(10)), + 'hot_powerball': dict(powerball_counter.most_common(5)), + 'cold_white': dict(cold_numbers[:10]) + } + + +def detect_overdue_numbers(data: List[Dict]) -> Dict: + """ + Identify numbers that haven't appeared in the longest time. + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary with overdue number analysis + """ + sorted_data = sorted(data, key=lambda x: x['draw_date']) + + # Track last appearance of each number + last_seen_white = {} + last_seen_powerball = {} + + for entry in sorted_data: + draw_date = entry['draw_date'] + for num in entry['winning_numbers'][:5]: + last_seen_white[num] = draw_date + if len(entry['winning_numbers']) >= 6: + last_seen_powerball[entry['winning_numbers'][5]] = draw_date + + most_recent_draw = sorted_data[-1]['draw_date'] + + # Calculate days since last appearance + overdue_white = {} + for num in range(1, 70): # White balls are 1-69 + if num in last_seen_white: + days_overdue = (most_recent_draw - last_seen_white[num]).days + overdue_white[num] = days_overdue + else: + overdue_white[num] = float('inf') # Never appeared + + overdue_powerball = {} + for num in range(1, 27): # Powerballs are 1-26 + if num in last_seen_powerball: + days_overdue = (most_recent_draw - last_seen_powerball[num]).days + overdue_powerball[num] = days_overdue + else: + overdue_powerball[num] = float('inf') + + print("\n" + "=" * 60) + print("PATTERN: Overdue Numbers (longest time since last appearance)") + print("=" * 60) + + print("\nMost overdue white balls:") + sorted_overdue_white = sorted(overdue_white.items(), key=lambda x: x[1], reverse=True)[:10] + for num, days in sorted_overdue_white: + if days == float('inf'): + print(f" {num}: Never appeared") + else: + print(f" {num}: {days} days ago") + + print("\nMost overdue Powerballs:") + sorted_overdue_powerball = sorted(overdue_powerball.items(), key=lambda x: x[1], reverse=True)[:5] + for num, days in sorted_overdue_powerball: + if days == float('inf'): + print(f" {num}: Never appeared") + else: + print(f" {num}: {days} days ago") + + return { + 'overdue_white': dict(sorted_overdue_white), + 'overdue_powerball': dict(sorted_overdue_powerball) + } + + +def detect_number_pairs(data: List[Dict], top_n: int = 10) -> Dict: + """ + Identify which number pairs appear together most frequently. + + Args: + data: List of powerball data dictionaries + top_n: Number of top pairs to display + + Returns: + Dictionary with pair frequency analysis + """ + pair_counter = Counter() + + for entry in data: + white_balls = entry['winning_numbers'][:5] + # Get all pairs from this draw + for pair in combinations(sorted(white_balls), 2): + pair_counter[pair] += 1 + + print("\n" + "=" * 60) + print("PATTERN: Number Pair Analysis") + print("=" * 60) + print(f"\nTop {top_n} most common number pairs:") + + for (num1, num2), count in pair_counter.most_common(top_n): + percentage = (count / len(data)) * 100 + print(f" ({num1}, {num2}): appeared together {count} times ({percentage:.1f}%)") + + return { + 'top_pairs': dict(pair_counter.most_common(top_n)) + } + + +def detect_decade_distribution(data: List[Dict]) -> Dict: + """ + Analyze how numbers are distributed across decades (1-9, 10-19, 20-29, etc.). + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary with decade distribution statistics + """ + decade_counts = Counter() + + for entry in data: + white_balls = entry['winning_numbers'][:5] + for num in white_balls: + decade = (num // 10) * 10 + decade_label = f"{decade:02d}-{decade+9:02d}" if decade < 60 else "60-69" + decade_counts[decade_label] += 1 + + print("\n" + "=" * 60) + print("PATTERN: Decade Distribution") + print("=" * 60) + print("How often numbers from each range appear:") + + total = sum(decade_counts.values()) + for decade in ["00-09", "10-19", "20-29", "30-39", "40-49", "50-59", "60-69"]: + count = decade_counts.get(decade, 0) + percentage = (count / total) * 100 if total > 0 else 0 + print(f" {decade}: {count} times ({percentage:.1f}%)") + + return {'decade_distribution': dict(decade_counts)} + + +def run_all_pattern_analyses(data: List[Dict]) -> Dict: + """ + Run all pattern detection analyses. + + Args: + data: List of powerball data dictionaries + + Returns: + Dictionary containing all pattern analysis results + """ + print("\n" + "#" * 60) + print("# ADVANCED PATTERN DETECTION ANALYSIS") + print("#" * 60) + + results = {} + + results['consecutive'] = detect_consecutive_patterns(data) + results['odd_even'] = detect_odd_even_patterns(data) + results['high_low'] = detect_high_low_patterns(data) + results['sum'] = detect_sum_patterns(data) + results['gaps'] = detect_gap_patterns(data) + results['hot_cold'] = detect_hot_cold_numbers(data, recent_draws=20) + results['overdue'] = detect_overdue_numbers(data) + results['pairs'] = detect_number_pairs(data, top_n=15) + results['decades'] = detect_decade_distribution(data) + + return results + + +def generate_pattern_based_combinations(data: List[Dict], pattern_results: Dict, num_combinations: int = 5) -> List[Dict]: + """ + Generate number combinations based on pattern analysis. + + Args: + data: List of powerball data dictionaries + pattern_results: Results from run_all_pattern_analyses + num_combinations: Number of combinations to generate + + Returns: + List of dictionaries containing combination details + """ + import random + + print("\n" + "=" * 60) + print("PATTERN-BASED NUMBER COMBINATIONS") + print("=" * 60) + print("\n*** DISCLAIMER: These combinations are based on pattern analysis.") + print("Lottery draws are random. Past patterns do NOT predict future results.") + print("Play responsibly.\n") + + combinations = [] + + # Get pattern insights + hot_white = list(pattern_results['hot_cold']['hot_white'].keys())[:15] + cold_white = [num for num, _ in pattern_results['hot_cold']['cold_white'].items() if _ < 3][:10] + overdue_white = [num for num, days in pattern_results['overdue']['overdue_white'].items() if days != float('inf')][:15] + hot_powerball = list(pattern_results['hot_cold']['hot_powerball'].keys())[:3] + overdue_powerball = [num for num, days in pattern_results['overdue']['overdue_powerball'].items() if days != float('inf')][:5] + + # Get most common distributions + odd_even_dist = pattern_results['odd_even']['distribution'] + most_common_oe = max(odd_even_dist.items(), key=lambda x: x[1])[0] + target_odds = int(most_common_oe.split('odd')[0]) + + high_low_dist = pattern_results['high_low']['distribution'] + most_common_hl = max(high_low_dist.items(), key=lambda x: x[1])[0] + target_lows = int(most_common_hl.split('low')[0]) + + # Get average sum + avg_sum = pattern_results['sum']['average'] + sum_tolerance = 30 + + # Get top pairs + top_pairs = list(pattern_results['pairs']['top_pairs'].keys())[:20] + + # Strategy descriptions + strategies = [ + ("Hot Numbers Focus", hot_white, "Uses frequently drawn recent numbers"), + ("Balanced Hot + Overdue", hot_white[:8] + overdue_white[:12], "Mixes hot numbers with overdue picks"), + ("Overdue Numbers Focus", overdue_white, "Focuses on numbers that haven't appeared recently"), + ("Cold Numbers Gamble", cold_white + hot_white[:10], "Includes rarely drawn numbers"), + ("Pair-Based Selection", [n for pair in top_pairs for n in pair], "Uses numbers from common pairs") + ] + + for strategy_idx in range(min(num_combinations, len(strategies))): + strategy_name, number_pool, strategy_desc = strategies[strategy_idx] + + # Ensure we have enough numbers in pool + if len(number_pool) < 20: + number_pool = list(set(number_pool + hot_white + list(range(1, 70)))) + + # Try to generate a combination that fits the patterns + attempts = 0 + max_attempts = 1000 + selected = [] # Initialize to avoid unbound variable + + while attempts < max_attempts: + # Select 5 random numbers from pool + selected = random.sample(number_pool[:30], min(5, len(number_pool[:30]))) + selected = sorted(selected) + + # Check odd/even distribution + odds_count = sum(1 for n in selected if n % 2 == 1) + if abs(odds_count - target_odds) > 1: + attempts += 1 + continue + + # Check high/low distribution + lows_count = sum(1 for n in selected if n <= 35) + if abs(lows_count - target_lows) > 1: + attempts += 1 + continue + + # Check sum is reasonable + total = sum(selected) + if abs(total - avg_sum) > sum_tolerance: + attempts += 1 + continue + + # Check gaps are reasonable (not too clustered or too spread) + gaps = [selected[i+1] - selected[i] for i in range(4)] + if min(gaps) < 2 or max(gaps) > 25: + attempts += 1 + continue + + # Good combination found + break + + # If we didn't find a perfect match, selected still has the last attempt + if not selected: + selected = sorted(random.sample(range(1, 70), 5)) + + # Select powerball + if strategy_idx % 2 == 0 and hot_powerball: + powerball = random.choice(hot_powerball) + elif overdue_powerball: + powerball = random.choice(overdue_powerball[:5]) + else: + powerball = random.randint(1, 26) + + # Calculate combination stats + odds = sum(1 for n in selected if n % 2 == 1) + evens = 5 - odds + lows = sum(1 for n in selected if n <= 35) + highs = 5 - lows + total = sum(selected) + + combinations.append({ + 'strategy': strategy_name, + 'description': strategy_desc, + 'numbers': selected, + 'powerball': powerball, + 'odds': odds, + 'evens': evens, + 'lows': lows, + 'highs': highs, + 'sum': total, + 'attempts': attempts + }) + + # Display combinations + for i, combo in enumerate(combinations, 1): + print(f"\nCombination #{i}: {combo['strategy']}") + print(f" Strategy: {combo['description']}") + print(f" Numbers: {' '.join(map(str, combo['numbers']))} + Powerball: {combo['powerball']}") + print(f" Stats: {combo['odds']}odd-{combo['evens']}even, {combo['lows']}low-{combo['highs']}high, Sum: {combo['sum']}") + + print("\n" + "=" * 60) + print("Quick Pick Lines:") + print("=" * 60) + for i, combo in enumerate(combinations, 1): + numbers_str = ' - '.join(f"{n:2d}" for n in combo['numbers']) + print(f" Line {i}: {numbers_str} | PB: {combo['powerball']:2d}") + + return combinations + + def main(): """Main function.""" # Default to 'powerball_numbers.csv' in the same directory as the script @@ -368,6 +932,12 @@ def main(): display_powerball_data(powerball_data) stats = analyze_most_frequent_numbers(powerball_data) generate_suggested_combination(stats) + + # Run advanced pattern detection + pattern_results = run_all_pattern_analyses(powerball_data) + + # Generate pattern-based combinations + pattern_combos = generate_pattern_based_combinations(powerball_data, pattern_results, num_combinations=5) else: print("Failed to load powerball data.")