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</ li >
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< li class ="toctree-l4 "> < a class ="reference internal " href ="#implementation-equipment-load-distribution "> Implementation: Equipment Load Distribution</ a >
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</ li >
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- < li class ="toctree-l4 "> < a class ="reference internal " href ="#mission-applications "> Mission Applications</ a >
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- </ li >
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< li class ="toctree-l4 "> < a class ="reference internal " href ="#combat-tips "> Combat Tips</ a >
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</ li >
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</ ul >
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</ li >
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+ < li class ="toctree-l3 "> < a class ="reference internal " href ="#sliding-window-pattern "> Sliding Window Pattern</ a >
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+ < ul >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#tactical-overview_1 "> Tactical Overview</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#battle-plan_1 "> Battle Plan</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#implementation-unit-performance-tracking "> Implementation: Unit Performance Tracking</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#combat-tips_1 "> Combat Tips</ a >
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+ </ li >
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+ </ ul >
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+ </ li >
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+ < li class ="toctree-l3 "> < a class ="reference internal " href ="#fast-slow-pointers-pattern "> Fast & Slow Pointers Pattern</ a >
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+ < ul >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#tactical-overview_2 "> Tactical Overview</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#battle-plan_2 "> Battle Plan</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#implementation-patrol-route-cycle-detection "> Implementation: Patrol Route Cycle Detection</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#combat-tips_2 "> Combat Tips</ a >
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+ </ li >
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+ </ ul >
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+ </ li >
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+ < li class ="toctree-l3 "> < a class ="reference internal " href ="#binary-search-pattern "> Binary Search Pattern</ a >
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+ < ul >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#tactical-overview_3 "> Tactical Overview</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#battle-plan_3 "> Battle Plan</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#implementation-personnel-location-in-formation "> Implementation: Personnel Location in Formation</ a >
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+ </ li >
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+ < li class ="toctree-l4 "> < a class ="reference internal " href ="#combat-tips_3 "> Combat Tips</ a >
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+ </ li >
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+ </ ul >
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+ </ li >
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< li class ="toctree-l3 "> < a class ="reference internal " href ="#after-action-review "> After Action Review</ a >
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< ul >
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< li class ="toctree-l4 "> < a class ="reference internal " href ="#key-tactical-points "> Key Tactical Points</ a >
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</ li >
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< li class ="toctree-l4 "> < a class ="reference internal " href ="#field-notes "> Field Notes</ a >
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- </ li >
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- < li class ="toctree-l4 "> < a class ="reference internal " href ="#training-resources "> Training Resources</ a >
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</ li >
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</ ul >
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</ li >
@@ -195,7 +227,6 @@ <h2 id="table-of-contents">Table of Contents</h2>
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< li > < a href ="#mission-briefing "> Mission Briefing</ a > </ li >
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< li > < a href ="#two-pointers-pattern "> Two Pointers Pattern</ a > </ li >
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< li > < a href ="#sliding-window-pattern "> Sliding Window Pattern</ a > </ li >
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- < li > < a href ="#fast--slow-pointers-pattern "> Fast & Slow Pointers Pattern</ a > </ li >
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< li > < a href ="#binary-search-pattern "> Binary Search Pattern</ a > </ li >
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< li > < a href ="#after-action-review "> After Action Review</ a > </ li >
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</ ul >
@@ -261,19 +292,200 @@ <h3 id="implementation-equipment-load-distribution">Implementation: Equipment Lo
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pairs = find_equipment_pairs(equipment_weights, target)
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print(f"SITREP: Equipment pairs matching {target}lbs: {pairs}")
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</ code > </ pre >
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- < h3 id ="mission-applications "> Mission Applications</ h3 >
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- < ol >
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- < li > Finding pairs in sorted arrays (Two Sum)</ li >
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- < li > Container optimization (Water Container)</ li >
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- < li > Removing duplicates from sorted arrays</ li >
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- </ ol >
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< h3 id ="combat-tips "> Combat Tips</ h3 >
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< ul >
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< li > Always sort when dealing with pair finding</ li >
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< li > Consider edge cases like empty arrays</ li >
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< li > Watch for pointer bounds</ li >
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</ ul >
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- < p > [Additional sections follow same enhanced format...]</ p >
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+ < hr />
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+ < h2 id ="sliding-window-pattern "> Sliding Window Pattern</ h2 >
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+ < h3 id ="tactical-overview_1 "> Tactical Overview</ h3 >
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+ < p > < strong > Mission Type:</ strong > Surveillance and Monitoring Operations</ p >
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+ < p > < strong > Military Context:</ strong > Analogous to maintaining a surveillance window on an area of operation. Like how a unit maintains constant observation while moving through terrain, the sliding window keeps track of a specific subset of data while moving through the array.</ p >
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+ < h3 id ="battle-plan_1 "> Battle Plan</ h3 >
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+ < ol >
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+ < li > Establish initial observation window</ li >
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+ < li > Monitor and record metrics within window</ li >
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+ < li > Advance window systematically</ li >
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+ < li > Maintain optimal window size for mission requirements</ li >
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+ </ ol >
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+ < h3 id ="implementation-unit-performance-tracking "> Implementation: Unit Performance Tracking</ h3 >
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+ < pre > < code class ="language-python "> def analyze_performance_window(performance_scores, days):
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+ """
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+ Mission: Track maximum average performance over consecutive days.
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+
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+ Tactical Application:
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+ - Monitoring unit readiness
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+ - Tracking squad performance trends
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+ - Identifying optimal training periods
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+ - Measuring combat effectiveness
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+
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+ Operation Parameters:
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+ performance_scores (list): Daily performance metrics
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+ days (int): Window size to analyze
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+
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+ Mission Outcome:
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+ float: Maximum average performance for any window
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+ """
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+ if not performance_scores or days <= 0:
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+ return 0
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+
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+ # Establish initial observation window
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+ current_sum = sum(performance_scores[:days])
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+ max_sum = current_sum
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+
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+ # Advance observation window
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+ for i in range(days, len(performance_scores)):
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+ # Shift window forward
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+ current_sum = current_sum - performance_scores[i - days] + performance_scores[i]
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+ max_sum = max(max_sum, current_sum)
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+
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+ return max_sum / days
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+
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+ # Field Operations Test
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+ daily_scores = [85, 90, 92, 88, 86, 95, 92]
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+ window_size = 3
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+ max_avg = analyze_performance_window(daily_scores, window_size)
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+ print(f"SITREP: Peak performance average over {window_size} days: {max_avg}")
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+ </ code > </ pre >
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+ < h3 id ="combat-tips_1 "> Combat Tips</ h3 >
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+ < ul >
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+ < li > Initialize window bounds correctly</ li >
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+ < li > Update window contents efficiently</ li >
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+ < li > Track maximum/minimum values as needed</ li >
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+ </ ul >
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+ < hr />
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+ < h2 id ="fast-slow-pointers-pattern "> Fast & Slow Pointers Pattern</ h2 >
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+ < h3 id ="tactical-overview_2 "> Tactical Overview</ h3 >
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+ < p > < strong > Mission Type:</ strong > Reconnaissance Operations</ p >
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+ < p > < strong > Military Context:</ strong > Similar to scout team and main element movement. The scout team (fast pointer) moves ahead at twice the pace while maintaining coordination with the main element (slow pointer).</ p >
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+ < h3 id ="battle-plan_2 "> Battle Plan</ h3 >
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+ < ol >
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+ < li > Deploy scout element (fast pointer)</ li >
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+ < li > Coordinate with main element (slow pointer)</ li >
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+ < li > Maintain communication between elements</ li >
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+ < li > Identify patterns or cycles in movement</ li >
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+ </ ol >
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+ < h3 id ="implementation-patrol-route-cycle-detection "> Implementation: Patrol Route Cycle Detection</ h3 >
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+ < pre > < code class ="language-python "> class PatrolPoint:
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+ """
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+ Tactical waypoint in patrol route
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+ """
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+ def __init__(self, location, next=None):
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+ self.location = location
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+ self.next = next
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+
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+ def detect_circular_patrol(patrol_route):
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+ """
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+ Mission: Detect if a patrol route circles back to a previous point.
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+
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+ Tactical Application:
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+ - Route reconnaissance
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+ - Patrol pattern analysis
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+ - Identifying redundant coverage
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+ - Ensuring efficient area coverage
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+
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+ Operation Parameters:
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+ patrol_route: Starting point of patrol route
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+
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+ Mission Outcome:
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+ bool: True if route contains a cycle
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+ """
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+ if not patrol_route:
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+ return False
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+
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+ # Scout team (fast) and main element (slow)
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+ main_element = patrol_route
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+ scout_team = patrol_route.next
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+
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+ while scout_team and scout_team.next:
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+ if main_element == scout_team:
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+ return True # Circular pattern detected
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+ main_element = main_element.next
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+ scout_team = scout_team.next.next
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+
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+ return False
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+
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+ # Field Operations Test
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+ # Create patrol route: Alpha -> Bravo -> Charlie -> Delta -> Bravo
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+ point_a = PatrolPoint("Alpha")
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+ point_b = PatrolPoint("Bravo")
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+ point_c = PatrolPoint("Charlie")
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+ point_d = PatrolPoint("Delta")
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+
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+ point_a.next = point_b
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+ point_b.next = point_c
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+ point_c.next = point_d
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+ point_d.next = point_b # Creates cycle
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+
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+ is_circular = detect_circular_patrol(point_a)
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+ print(f"SITREP: Patrol route contains circular pattern: {is_circular}")
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+ </ code > </ pre >
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+ < h3 id ="combat-tips_2 "> Combat Tips</ h3 >
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+ < ul >
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+ < li > Watch for null/none values</ li >
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+ < li > Handle edge cases carefully</ li >
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+ < li > Maintain proper pointer speeds</ li >
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+ </ ul >
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+ < hr />
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+ < h2 id ="binary-search-pattern "> Binary Search Pattern</ h2 >
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+ < h3 id ="tactical-overview_3 "> Tactical Overview</ h3 >
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+ < p > < strong > Mission Type:</ strong > Target Acquisition Operations</ p >
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+ < p > < strong > Military Context:</ strong > Similar to bracketing procedures in artillery fire missions. You systematically narrow down your target area by adjusting between known boundaries until you achieve target acquisition.</ p >
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+ < h3 id ="battle-plan_3 "> Battle Plan</ h3 >
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+ < ol >
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+ < li > Establish search boundaries</ li >
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+ < li > Calculate mid-point</ li >
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+ < li > Adjust search sector based on target position</ li >
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+ < li > Repeat until target acquired or sector cleared</ li >
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+ </ ol >
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+ < h3 id ="implementation-personnel-location-in-formation "> Implementation: Personnel Location in Formation</ h3 >
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+ < pre > < code class ="language-python "> def locate_in_formation(positions, target_id):
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+ """
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+ Mission: Efficiently locate a service member's position in formation.
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+
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+ Tactical Application:
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+ - Personnel accountability
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+ - Formation management
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+ - Quick reaction force assignments
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+ - Rapid personnel location
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+
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+ Operation Parameters:
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+ positions (list): Sorted list of position IDs
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+ target_id (int): ID to locate
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+
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+ Mission Outcome:
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+ int: Index of target position or -1 if not found
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+ """
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+ left = 0 # Left boundary
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+ right = len(positions) - 1 # Right boundary
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+
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+ while left <= right:
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+ mid = (left + right) // 2 # Center of current sector
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+
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+ if positions[mid] == target_id:
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+ return mid # Target acquired
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+ elif positions[mid] < target_id:
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+ left = mid + 1 # Adjust sector right
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+ else:
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+ right = mid - 1 # Adjust sector left
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+
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+ return -1 # Target not found
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+
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+ # Field Operations Test
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+ formation_positions = [2, 4, 6, 8, 10, 12, 14, 16]
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+ target = 10
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+ position = locate_in_formation(formation_positions, target)
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+ print(f"SITREP: Service member {target} located at position: {position}")
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+ </ code > </ pre >
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+ < h3 id ="combat-tips_3 "> Combat Tips</ h3 >
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+ < ul >
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+ < li > Ensure array is sorted before search</ li >
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+ < li > Handle boundary conditions</ li >
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+ < li > Watch for integer overflow in midpoint calculation</ li >
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+ </ ul >
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+ < hr />
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< h2 id ="after-action-review "> After Action Review</ h2 >
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< h3 id ="key-tactical-points "> Key Tactical Points</ h3 >
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< ol >
@@ -287,13 +499,6 @@ <h3 id="field-notes">Field Notes</h3>
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< li > Learn from failed attempts</ li >
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< li > Build your pattern recognition skills</ li >
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</ ul >
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- < h3 id ="training-resources "> Training Resources</ h3 >
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- < ul >
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- < li > < a href ="https://vetswhocode.io/patterns "> VetsWhoCode Pattern Drills</ a > </ li >
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- < li > < a href ="https://vetswhocode.io/prep "> Technical Interview Prep Guide</ a > </ li >
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- < li > < a href ="https://vetswhocode.io/exercises "> Combat Coding Exercises</ a > </ li >
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- </ ul >
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- < hr />
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< h2 id ="standard-operating-procedures "> Standard Operating Procedures</ h2 >
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< ol >
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< li > Always identify the pattern before coding</ li >
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