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Construct an detailed pseudocode in python to implement the following algorithm: “`a super simple cool algorithm which I use with Obsidian (each object is a markdown file), but I am looking to migrate to a TUI version I develop in the future.The algorithm essentially tosses coins for each object every day. And the amount of tails it gets in a row before the first head (a value from 0 to infinity, where each number is 2 times less likely, and thus happens (on average) 2 times more rarely). I have a threshold value set for each object/item (also 0 to infinity) and my program goes over each object every day and calculates the value and if it's greater than or equal the user defined (and adjustable) threshold for a specific item - that item is featured/show to the user. If the threshold was 0 - item would be featured every single day. 1 => 2 (every other day, since 1 tails in a row has about 50% chance to happen each day) 5 => 32 (2^5 = 32, 1/32 = 3.125%) This allows the user to put any item into "buckets" with decently varied intervals/periods between 2 "featurings". Doesn't work if you want to be shown something on intraday scales or at evenly spaced non-random intervals. However, there is an another little emergent feature of this system. Since the "coin tosses" are actually determined by the number of zeros (zero bits) in a cryptographic hash of each item and date - it so happens that EVERY single reminder/featuring/special day level value is essentially already predetermined and known for the rest of time. And it's the same for same inputs. So if different people had entries like "XONOTIC, THE_MATRIX_1999", "ANKI" or any other object that can be represented with a string - everyone would get the same reminder levels on the same days aka they would be reminded of certain things on the same days, could be made into a universal shared "calendar" for anything you want. This system can effectively be used to coordinate randomly spaced "meetings" between any number of different parties about anything on a daily basis with while each participant can adjust their thresholds from effectively daily to infinitely rarely. I can imagine this system being useful for allowing multiple uncoordinated people who care about the same thing, for example a dead game to play it on the same day (if multiplayer this would mean servers not being empty that day and people actually able to enjoy it together - if only for a day over year or month or whatever). Or people can watch the same movie which has it's special day of high significance level and discuss it and appreciate it together whereas there would never be enough people thinking about it any any other ordinary day to be able to do that. I use this system to remind myself about everything I have in my Obsidian vault (MOVIE(s), GAME, SERIES, VIDEO, CREATOR, ENTITY, TASK, BOOK and like 30 more types) so I never forget about them. I have like 1000 YT videos I care about in my collection and my mind can be at peace knowing I will be reminded of all of them eventually (depending on the frequency/rarity threshold). And even for 1000 YT videos it doesn't get cluttered since I have most videos set to level 8 (2^8 = 256). So I get each video on average every 256 days and I'm reminded of about 4 of them each day. `”

Here's a detailed pseudocode in Python-style syntax to implement the algorithm as described. This pseudocode assumes the existence of a cryptographic hash function `hash`, a function `get_date_string` to get the current date as a string, and a data structure `objects` that holds the markdown file objects with their corresponding thresholds. ```python import hashlib # Define a function to compute the consecutive tails count def calculate_tails_count(item_name, date_string): # Concatenate item name and date string to form a unique string for hashing combined_string = item_name + ',' + date_string # Compute the hash of the combined string hash_value = hashlib.sha256(combined_string.encode()).hexdigest() # Convert the hash value to binary binary_hash = bin(int(hash_value, 16))[2:] # Count the number of leading zeros (tails) before the first one (head) tails_count = 0 for char in binary_hash: if char == '0': tails_count += 1 else: break return tails_count # Define a function to get today's date as a string def get_date_string(): # Implementation depends on the date library used and the desired date format # assuming it is implemented elsewhere return today_date_string # Define a function to decide whether to feature an item def should_feature_item(item_name, threshold, date_string): # Calculate the number of tails for the item on the given date tails_count = calculate_tails_count(item_name, date_string) # If the tails count is greater than or equal to the threshold, return True to feature the item return tails_count >= threshold # Simulates the main program flow def main(): # Get today's date as a string date_string = get_date_string() # Dictionary of items (objects) with their corresponding thresholds objects = { "XONOTIC, THE_MATRIX_1999": 3, "ANKI": 5, # ... all other markdown objects with thresholds } # Iterate over each object to decide if it should be featured for item_name, threshold in objects.items(): if should_feature_item(item_name, threshold, date_string): # Item meets the criteria - Feature it print(f"Feature item: {item_name}") # Run the main function main() ``` Some notes on this pseudocode: 1. It uses the SHA-256 hash provided by the `hashlib` library. 2. The `hash_value` is converted to its binary representation where leading zeros are counted. 3. The `get_date_string` function should return the current date as a string, but its implementation is left out as it will depend on the specific date library and format you wish to use. 4. The objects dictionary holds the markdown file objects and their thresholds. You would need to populate this with your actual data. 5. The `main` function simulates the algorithm execution by iterating through the objects and printing out the names of the items to feature based on the calculated tails count. Please note that this pseudocode is not executable Python code. It outlines the logic of the algorithm and demonstrates the core components and flow, but you would need to flesh out certain parts (such as the date fetching and object dictionary) according to your actual application's context and language specifics.

reasses your last response verifying for errors and omissions and, at last, ELI5 the final pseudocode

Upon reviewing the previous pseudocode, there are no explicit errors; however, there's an area in which the explanation could be made clearer. The pseudocode provided is simplified, and it assumes the existence of certain functions which have not been completely implemented. Specifically, the `get_date_string` function is a placeholder and would need an actual implementation using a date library for the code to work properly. Let’s simplify the pseudocode and "Explain Like I'm 5" (ELI5) what’s going on: Pseudocode ELI5: ```python # We need a way to mix up the name of our item and today's date to create a secret code. def mix_item_and_date(item_name, today): secret_code = item_name + today return secret_code # We can turn the secret code into a special number that's like a pattern for our game. def turn_code_into_number(secret_code): special_number = do_some_magic_to_make_a_number(secret_code) return special_number # Now let's count how many times we can cut this number in half until it's not even anymore. def count_how_many_times_can_cut_in_half(special_number): cut_count = 0 while special_number is even: cut_count = cut_count + 1 special_number = special_number / 2 return cut_count # Let's play a game where we decide if we should think about an item today. def should_we_think_about_this_item(item_name, secret_number_we_need, today): # Our secret code is made from our item name and the date. secret_code = mix_item_and_date(item_name, today) # We turn that into a special pattern number. special_number = turn_code_into_number(secret_code) # We count how many times we can cut our pattern number in half. count = count_how_many_times_can_cut_in_half(special_number) # If we needed to cut it at least the secret number we need or more, we win the game! if count >= secret_number_we_need: return True else: return False # Imagine we have a toy box with all our items. toy_box = { "RubberDuck": 3, "RaceCar": 5, # ... and many more toys with their own special numbers. } # Every day we go through our toy box to play the game with each toy. def play_game_with_toy_box(toy_box, today): for toy_name, secret_number_we_need in toy_box.items(): if should_we_think_about_this_item(toy_name, secret_number_we_need, today): # Woohoo! We get to play with this toy today! print(f"Today, let's play with: {toy_name}") # This is where we start playing when mom says go. start_the_game(): # What day is today? That's important for our game. today = what_day_is_it() # Now let's go through our toy box and see what we can play with today. play_game_with_toy_box(toy_box, today) # Ok, mom says we can start now, so let's play! start_the_game() ``` In this ELI5 version, we've broken down the original algorithm into simple steps that mimic a child's game: 1. We take the item's name and the current date, and mix them up to create a secret code. 2. We then transform this secret code into a special magic number, like getting a unique pattern to follow. 3. Our game is about cutting this number in half as many times as we can until it’s not even (like splitting a cookie until we can't split it evenly anymore). 4. We have a toy box (really just a list of items) that says how many times each toy needs to be cut in half. 5. Every day, we look at each toy and play the split-in-half game. If we can cut it in half at least as many times as the toy box says, then it means today is a special day to play with that toy! Note: In this ELI5 version, some of the initial complexity is traded off for simplicity in explanation. Functions like `what_day_is_it`, `do_some_magic_to_make_a_number`, and the entire concept of 'cutting a number in half until it's not even' are highly simplified stand-ins for obtaining the current date, hashing the item and date, and counting the trailing zeros in a binary hash, respectively. These would need proper implementation in a real programming environment to work.