Update sport selection options in app.py to remove duplicate 'NBA' entry, ensuring clarity and consistency in user choices.

Update sport selection logic in app.py to include 'WNBA' and 'NBA' in all_column_stack_sports, enhancing flexibility in stacking options for users.

Refactor sport selection logic in app.py to utilize stacking_sports variable, enhancing maintainability and consistency in user options.

Update stacking_sports list in app.py to include 'NCAAF' and modify sport selection options for improved user experience.

Update reassess_edge calls in app.py to include salary_max parameter for improved salary handling in working_frame and export_base data processing.

Enhance predict_dupes function by adding max_salary parameter for improved salary handling and adjusting sample range slider step in app.py for better user experience.

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Remove debug statements from player filtering logic in app.py to streamline code. This cleanup enhances readability and focuses on the core functionality of the filtering process.

Refactor player filtering logic in app.py to simplify mask conditions. Updated the include and remove masks to use row.values instead of converting to lists, improving code efficiency and readability.

Update player filtering logic in app.py to change the include mask condition from 'any' to 'all'. This modification ensures that lineups are only included when all specified players are present, enhancing the accuracy of player management.

Add debug statements to player filtering logic in app.py to display mask results. This enhancement aids in verifying the accuracy of the include and remove masks during lineup filtering, improving debugging capabilities.

Update player filtering logic in app.py to change the include mask condition from 'all' to 'any'. This adjustment ensures that lineups are accurately filtered based on user-defined selections, enhancing the functionality of player management.

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Update player filtering logic in app.py to correct the remove mask condition. Changed from using 'all' to 'any' for player removal criteria, ensuring accurate filtering of lineups based on user-defined selections.

Refactor player filtering logic in app.py to combine include and remove masks into a single operation. This change simplifies the filtering process, improving code efficiency and maintaining accurate lineup management based on user-defined criteria.

Refactor player filtering logic in app.py to correct mask application for removing players. Updated the remove mask condition to ensure accurate filtering of lineups based on user-defined criteria, enhancing functionality and maintainability.

Refactor player filtering logic in app.py to consolidate mask creation for including and removing players. This change enhances code readability and maintains the functionality of dynamic player selection based on user-defined criteria.

Refactor player filtering logic in app.py to utilize dynamic player column selection. Updated include and remove masks to improve accuracy in filtering lineups based on user-defined criteria, enhancing overall functionality and maintainability.

Refactor lineup filtering logic in app.py to streamline player selection process. Updated multiselect options for removing and including players, enhancing clarity and user experience. Improved filtering conditions to ensure accurate lineup management based on user selections.

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Refactor lineup filtering logic in app.py to improve clarity and maintainability. Updated variable names for multiselect options to enhance user understanding when managing player and stack filters, ensuring a more intuitive experience.

Refactor lineup filtering options in app.py to enhance clarity in user prompts. Updated multiselect labels to provide context based on selected variables, improving the user experience when managing lineups.

Enhance user interaction in app.py by implementing a form for selecting variables to remove from lineups. This change allows users to apply their selections more intuitively, improving the overall lineup management experience.

Update lineup filtering options in app.py to replace multiselect with selectbox for improved user experience

Add Conditional Manager to app.py for lineup filtering options

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Refactor app.py to replace predict_dupes calls with reassess_edge for both working and export frames, enhancing the accuracy of edge assessments by utilizing the updated reassess_edge function in reassess_edge.py.

Replace reassess_edge function calls with predict_dupes in app.py to streamline duplicate prediction logic for working and export frames, enhancing data processing accuracy.

Implement reassess_finish_percentile function in reassess_edge.py to recalculate finish_percentile based on ownership and contest size, enhancing accuracy in ownership adjustments. Remove debug print statements from app.py for cleaner code.

Refactor salary, median, and ownership calculations in app.py to handle GOLF sport variable separately, improving clarity and accuracy in data processing.

Update reassess_edge function to include maps_dict parameter for improved player ownership mapping in app.py, enhancing edge reassessment logic.

Refactor reassess_edge function signature in global_func/reassess_edge.py to simplify parameters and update app.py to utilize the new signature, enhancing edge reassessment logic for player data processing.

function correction

Replace exposure_spread function call with reassess_edge in app.py to improve edge reassessment logic for player exposure handling during lineup processing.

Update position filtering in create_position_export_dict to include 'C/1B' and modify sport headers for WNBA and MLB across load functions, enhancing player data handling for CSV exports.

Enhance player data handling by updating load functions in load_dk_fd_file, load_file, and load_ss_file to incorporate sport-specific headers, improving CSV and lineup processing for various sports in app.py and global functions.

Refactor logic to set 'Position' and 'Team' as 'FLEX' for specific sports in app.py, ensuring proper handling of player data when a CSV file is loaded.

Implement logic to set 'Position' and 'Team' as 'FLEX' for specific sports in app.py, enhancing player data handling for GOLF, TENNIS, MMA, NASCAR, and F1.

Update position filtering logic in create_position_export_dict function in app.py to handle specific 'SP' position filtering, improving accuracy in player data exports.

Refine position filtering logic in create_position_export_dict function in app.py to remove trailing digits from column names, and update debug print statements to log structured output of filtered DataFrames for better data validation.

Add debug print statements in create_position_export_dict function in app.py to log position filters and filtered DataFrames, aiding in troubleshooting and data validation during export dictionary generation.

Add create_position_export_dict function in app.py to generate position-specific export dictionaries from CSV files, enhancing player data handling and mapping in export functionality.

Enhance exposure_spread function to include stacking_sports parameter, improving player selection logic for size 5 lineups in app.py and exposure_spread.py.

Replace reassess_edge function calls with predict_dupes in app.py for both working_frame and export_base, improving clarity and consistency in player lineup predictions.

Update app.py to utilize prior_frame for reassessing edges in both working_frame and export_base, enhancing accuracy in player lineup metrics.

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.

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.

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.