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.

Update exposure_spread function call in app.py to use export_base instead of working_frame, ensuring correct data handling for exposure calculations.

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

Update stratification sample range slider in app.py to allow a range input from 0.0 to 100.0, enhancing user control over sample selection.

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.

Add app.py to implement a Streamlit application for player analysis and portfolio management, featuring data loading, name matching, and exposure management functionalities.

Add application.py to implement Streamlit app for player analysis and portfolio management, including data loading, name matching, and exposure management features.

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

Update exposure_player selection in app.py to use unique player names from projections_df, ensuring accurate data representation in exposure management.

Reinstate settings_base assignment in app.py after exposure_player debug print statement to ensure session state integrity during exposure evaluations.

Reinstate settings_base assignment in app.py after exposure_player debug print statement to maintain session state integrity during exposure evaluations.

Add debug print statement for exposure_player in app.py to assist with tracking state during exposure evaluations.

Refactor salary, median, and ownership calculations in app.py to use parsed_frame instead of session state, improving data handling consistency and clarity in exposure evaluations.

Refactor exposure_player handling in app.py to use session state for consistent data access during exposure evaluations.

check export_splayer

Update working_frame and export_base assignments in exposure_spread function to ensure consistent data handling and improve clarity in exposure evaluations.

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.