Rename reassess_edge function to reassess_lineup_edge in reassess_edge.py for clarity, and update references accordingly to improve code readability and maintainability.

Fix reassess_dupes function in reassess_edge.py to remove clipping on calculated values, ensuring accurate salary difference assessments for player lineups.

Refactor change_mask logic in reassess_edge.py to filter based solely on median differences, improving accuracy in edge assessments for player lineups.

Add reassess_edge function in reassess_edge.py for recalculating lineup metrics based on player performance, and update app.py to utilize this function for improved edge assessments in player lineups.

Add team comparison for filtering comparable players in exposure_spread.py, ensuring accurate player selection for size 5 lineups.

Add filtering for comparable players in exposure_spread.py based on team stacking for size 5 lineups, enhancing player selection accuracy.

Refactor position eligibility checks in exposure_spread.py to use explicit conditionals for each position, improving clarity and maintainability of the code.

Refactor position eligibility checks in exposure_spread.py to simplify logic for player positions, enhancing readability and maintainability. Update reassess_dupes function in reassess_edge.py to streamline salary difference calculations for improved performance.

Refactor predict_dupes function call in app.py to use parsed_frame and salary_max, and add reassess_edge function in reassess_edge.py for recalculating metrics based on differences in salary, median, and ownership.

Refactor similarity score calculations in stratification_function to use quantiles instead of min/max thresholds, improving accuracy in target similarity score generation.

Add stratification sample range slider to app.py and update stratification_function to accept threshold parameters for improved player selection control.

Remove docstrings from position eligibility functions in exposure_spread.py to streamline code and improve readability.

Remove debug print statements from app.py and exposure_spread.py to clean up code and improve performance during exposure evaluations.

check export_splayer

Remove redundant condition in exposure_spread function to streamline player comparison logic, enhancing clarity in exposure evaluations.

Update lineups_to_add calculation in exposure_spread function to increase adjustment factor from 1.05 to 1.10, improving accuracy in player addition logic during exposure evaluations.

Update lineups_to_add calculation in exposure_spread function to increase adjustment factor from 1.01 to 1.05, enhancing accuracy in player addition logic during exposure evaluations.

Enhance change tracking in exposure_spread function by incrementing change_counter upon player assignment, improving accuracy in player adjustments during exposure evaluations.

Refactor lineups_to_add calculation in exposure_spread function to ensure accurate adjustments by using player_exposure instead of replace_mask, enhancing clarity in player addition logic during exposure evaluations.

Remove unnecessary decrement of change_counter in exposure_spread function to streamline logic for player adjustments during exposure evaluations.

Refactor lineups_to_add calculation in exposure_spread function to use player_exposure instead of replace_exposure, ensuring accurate adjustments for player additions during exposure evaluations.

Add additional debug print statements in exposure_spread function to display player_exposure and replace_exposure values, enhancing visibility into player adjustments during exposure evaluations.

Add debug print statements in exposure_spread function to display calculated lineups_to_remove and lineups_to_add, improving visibility into player adjustments during exposure evaluations.

Add debug print statement in exposure_spread function to display the difference between lineups_to_add and change_counter, enhancing visibility into player adjustments during exposure evaluations.

Update lineups_to_add calculation in exposure_spread function to use replace_exposure, ensuring accurate adjustments for player additions during exposure evaluations.

Adjust lineups_to_add calculation in exposure_spread function to ensure accurate player addition logic during exposure evaluations, enhancing clarity in exposure adjustments.

Remove unnecessary negation of lineups_to_add in exposure_spread function to streamline logic for player adjustments during exposure evaluations.

Update exposure_spread function to introduce lineups_to_add calculation, ensuring accurate adjustments for player additions during exposure evaluations. Modify related logic to reflect this change and enhance debugging output for lineups_to_add.

Update salary calculation in exposure_spread function to reflect accurate adjustments for replacement players, ensuring compliance with salary constraints during exposure evaluations.

Add debug print statement to exposure_spread function to display combined salary of selected players, aiding in tracking salary constraints during exposure calculations.

Improve player eligibility check in exposure_spread function by adding salary constraint for replacement players, ensuring accurate exposure adjustments while maintaining clarity in player selection logic.

Enhance player replacement logic in exposure_spread function by separating random row selection for insertion and replacement. This improves clarity and ensures accurate handling of lineups during exposure adjustments.

Refactor player filtering logic in exposure_spread function to directly apply a mask for removing rows without the exposure_player, enhancing clarity and ensuring accurate player selection during exposure calculations.

Correct player filtering logic in exposure_spread function by changing equality check to inequality for exposure_player, improving accuracy in player selection during exposure calculations.

Refine player filtering logic in exposure_spread function by replacing existing_players check with a direct comparison to exposure_player, enhancing clarity and accuracy in player selection during exposure calculations.

Fix comparison logic in exposure_spread function by replacing isin() with direct membership check for comparable_player_list, improving clarity and performance in player selection.

Add debug print statement for lineups_to_remove in exposure_spread function to assist in tracking player removal logic during exposure calculations.

Add debug print statement for comparable player list in exposure_spread function to assist in tracking player selection during exposure calculations.

Refactor exposure_spread function to remove filtering of comparable players based on existing_players, simplifying player comparison logic and improving clarity in exposure calculations.

Update exposure_spread function to filter comparable players based on exposure_player instead of existing_players, ensuring accurate player comparisons during exposure calculations.

Adjust lineups_to_remove calculation in exposure_spread function to negate its value before processing, ensuring correct handling of player exposure adjustments based on lineup changes.

Refactor exposure_spread function to handle player replacement logic based on lineups_to_remove value. Separate logic for positive and negative adjustments to ensure accurate player exposure management and enhance lineup flexibility.

Update lineups_to_remove calculation in exposure_spread function to handle cases where exposure_target is zero, ensuring accurate lineup adjustments based on player exposure.

Enhance app.py to include F1 in sport selection and implement position and team variable assignments based on selected sport. Update projections to reflect these variables for GOLF, TENNIS, MMA, NASCAR, and F1, improving data handling for player eligibility.

Update position eligibility checks in check_position_eligibility function to correct sport name cases for MMA, Golf, and Tennis. This ensures consistent handling of player positions across different sports.

Add FLEX eligibility check in check_golf_position_eligibility function to allow 'G' positions for FLEX columns. This enhances player eligibility logic for golf positions.

Implement error handling in exposure_spread function to ensure robust position extraction. If an error occurs during position parsing, fallback to the original position list, enhancing reliability in player eligibility processing.

Adjust lineups_to_remove calculation in exposure_spread function to apply a 101% factor, refining accuracy in lineup adjustments based on player exposure and target.

Adjust lineups_to_remove calculation in exposure_spread function to apply a 105% factor, refining accuracy in lineup adjustments based on player exposure and target.

Enhance exposure_spread function by adding salary_max parameter for improved salary filtering and adjusting lineups_to_remove calculation to a 125% factor, refining player selection logic and ensuring existing players are excluded from comparable options.