Refactor salary and projection calculations in 'exposure_spread' function to apply conditional logic based on 'type_var', improving accuracy for Showdown scenarios.

Add debug print statements in 'exposure_spread' function to log comparable player lists, aiding in tracking player selection during execution.

Remove debug print statements and refine player data retrieval logic in 'exposure_spread' function to improve clarity and maintainability.

Add debug print statement for working columns in 'exposure_spread' function to aid in tracking column data during execution.

Refactor 'exposure_spread' function to support specific column selections for player data retrieval, enhancing flexibility in player filtering logic.

Add debug print statements in 'exposure_spread' function to log player exposure and lineup changes for better tracking during testing.

testing exposure management with specific column selections

Enhance player filtering logic in 'Manage Portfolio' section of 'app.py' by implementing conditional checks for both alpha and beta players, improving the accuracy of row selection based on user-defined criteria.

Refactor player presence logic in 'Manage Portfolio' section of 'app.py' to improve clarity by using direct row value checks instead of row values array, enhancing code readability.

Update 'Manage Portfolio' section in 'app.py' to include unique keys for CPT/FLEX selection boxes, enhancing state management and user experience.

Add CPT/FLEX selection options in 'Manage Portfolio' section of 'app.py' to enhance player filtering capabilities based on slot type.

Enhance min/max input constraints in 'Manage Portfolio' section of 'app.py' for better user guidance and validation.

More fine grained min/max filters in macro

Adjust column widths in 'Manage Portfolio' section of 'app.py' to improve layout and enhance user interaction with the reset portfolio button.

Update row selection logic in 'Manage Portfolio' section of 'app.py' to use 'display_frame' for adding selected rows to custom export, improving data handling and user experience.

Refactor column layout in 'Manage Portfolio' section of 'app.py' to enhance user interface by adjusting column definitions and improving button placements for better functionality.

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Refactor 'Manage Portfolio' section in 'app.py' to improve layout and functionality by adding buttons for recalculating diversity, adding/removing rows from custom export, and adjusting column configurations for better user interaction.

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Update row selection method in 'app.py' for custom export by replacing number input with multiselect, enhancing user experience and flexibility in managing portfolio exports.

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Enhance player and team filtering logic in 'app.py' for Showdown mode by implementing CPT/FLEX/Overall focus handling, improving clarity and consistency while maintaining performance.

Refactor team filtering logic in 'app.py' to utilize mapping for team names, improving clarity and consistency in Showdown mode while maintaining performance.

Refactor player and team filtering logic in 'app.py' to use iloc for row selection, enhancing code clarity and maintaining performance in Showdown mode.

Refactor player filtering logic in 'app.py' to use direct row slicing instead of session state columns, improving performance and simplifying code for player and team management in Showdown mode.

Add CPT/FLEX/Overall focus selection for player locking and removal in Showdown mode in 'app.py', enhancing lineup customization options.

Initialize player columns in session state upon loading working frame in 'app.py', ensuring consistent player filtering and enhancing overall functionality.

Refactor player column handling in 'app.py' to utilize session state for dynamic column management, improving consistency in player filtering and analysis across various operations.

introduced a button to recalculate diversity

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Enhance stacking column dictionary in 'app.py' to include 'Classic' and 'Showdown' formats for Draftkings and Fanduel, improving flexibility in player stacking calculations across multiple sports.

Refactor stack column dictionary in 'app.py' to support multiple sites, enhancing flexibility in player stacking calculations for Draftkings and Fanduel.

Update NFL stacking positions in 'app.py' to include additional player roles, enhancing the accuracy of player stacking calculations for lineup generation.

Refactor stacking logic in 'app.py' by replacing hardcoded exclusions with a dynamic stack column dictionary for various sports, improving maintainability and clarity in player stacking calculations.

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adjusting stacking sports logic

Refactor position eligibility check in 'exposure_spread' to improve clarity and maintainability, ensuring proper handling of player positions during lineup generation.

Implement error handling in 'exposure_spread' to ensure comparable player list is generated safely, defaulting to an empty list if an exception occurs, enhancing robustness in player selection logic.

Add debug print statements in 'exposure_spread' to log existing and comparable players, aiding in troubleshooting player selection logic.

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Enhance player selection logic in 'exposure_spread' by adding salary constraints for specific replacements, improving accuracy in lineup generation and incorporating error handling for existing players.

Refactor player selection logic in 'exposure_spread' by removing redundant salary constraints for specific replacements, streamlining the lineup generation process.

Refine player selection in 'exposure_spread' by incorporating salary constraints for specific replacements, enhancing the precision of lineup generation.

Enhance player filtering in 'exposure_spread' by adding salary constraints for specific replacements, improving accuracy in lineup generation.

Update player position retrieval in 'Manage Portfolio' to use mapping from 'map_dict' instead of the display frame, improving accuracy in player statistics.

add position to player analysis

Add default handling for 'Ignore Specific Stacks' in 'Manage Portfolio', ensuring an empty list is set when no stacks are selected, improving user experience and preventing errors.

Refactor player filtering logic in 'Manage Portfolio' to streamline beta condition application, ensuring it only processes rows that meet the alpha condition, enhancing efficiency in lineup management.

Add Conditionals Manager for player filtering in 'Manage Portfolio', allowing users to keep or remove lineups based on selected player conditions, enhancing lineup management capabilities.