answer:To ensure that the funds raised from the bake sale and online donations are properly collected, tracked, and allocated to support the disaster relief efforts, the group can follow these steps: First, the group should designate a treasurer or financial manager to oversee the collection and tracking of funds. This person will be responsible for setting up a system to track donations, expenses, and allocations. For the bake sale, the group can use a secure and transparent system for collecting and counting money. This can include using a cash box with multiple compartments to separate donations, sales, and change. The group can also use a sales tracking sheet to record each transaction, including the amount sold, the type of item sold, and the amount of money collected. For online donations, the group can use a reputable online donation platform that provides a secure and transparent way to collect and track donations. The platform should provide features such as automatic receipting, donor tracking, and reporting tools. To ensure that funds are properly allocated to support disaster relief efforts, the group should research and partner with a reputable organization that is working directly with the affected community. This organization should have a clear plan for how the funds will be used to support disaster relief efforts. The group should also establish a clear policy for allocating funds, including a breakdown of how the funds will be used, such as: * Percentage of funds allocated to direct disaster relief efforts * Percentage of funds allocated to administrative costs * Percentage of funds allocated to other related expenses The group should also ensure that all financial transactions are transparent and publicly disclosed. This can include posting regular financial updates on social media, providing detailed reports to donors, and making financial statements available upon request. Finally, the group should consider obtaining a tax-exempt status, such as a 501(c)(3) designation, to ensure that donations are tax-deductible and to provide an additional layer of financial transparency and accountability. Example of a financial tracking system: * Create a spreadsheet to track donations, expenses, and allocations * Set up separate columns for: + Date + Type of donation (bake sale, online donation, etc.) + Amount donated + Donor name (if applicable) + Allocation (disaster relief efforts, administrative costs, etc.) * Use formulas to calculate totals and percentages * Regularly review and update the spreadsheet to ensure accuracy and transparency Example of a financial report: * We are pleased to report that our bake sale and online donations have raised a total of 5,000 to support disaster relief efforts. * Of the funds raised, 90% will be allocated directly to disaster relief efforts, 5% will be allocated to administrative costs, and 5% will be allocated to other related expenses. * We are grateful for the support of our donors and are committed to transparency and accountability in our financial transactions.

answer:Here is a Python function that finds the greatest factor of 2 for any given number: ```python def greatest_factor_of_two(n): factor = 0 while n % 2 == 0: factor += 1 n = n // 2 return 2 ** factor ``` This function works by continuously dividing the input number by 2 as long as it's even (i.e., the remainder when divided by 2 is 0). It keeps track of how many times it can do this, which represents the power of the greatest factor of 2. Finally, it returns 2 raised to this power. Example usage: ```python print(greatest_factor_of_two(16)) # Output: 16 print(greatest_factor_of_two(12)) # Output: 4 print(greatest_factor_of_two(25)) # Output: 1 ```

answer:Here is a Python function that checks if a number is a power of two: ```python def is_power_of_two(n): if n <= 0: return False return (n & (n - 1)) == 0 ``` This function uses a bitwise operation to check if a number is a power of two. In binary, powers of two have exactly one bit set to 1, with all other bits set to 0. Subtracting 1 from a power of two will result in a number with all bits set to 1 up to the original bit position, and all bits after that set to 0. Therefore, performing a bitwise AND operation on a power of two and the number one less than it will result in zero. For example, the binary representation of 8 (a power of two) is `1000`. Subtracting 1 from 8 gives 7, which has the binary representation `0111`. Performing a bitwise AND operation on `1000` and `0111` results in `0000`, which is zero. Example usage: ```python print(is_power_of_two(8)) # Output: True print(is_power_of_two(10)) # Output: False print(is_power_of_two(256)) # Output: True ```

answer:Bitwise operators are a set of operators in Python that perform operations on the binary representation of integers. They are used to manipulate the individual bits within a binary number. Here are the bitwise operators available in Python: * `&` (bitwise AND) * `|` (bitwise OR) * `^` (bitwise XOR) * `~` (bitwise NOT) * `<<` (left shift) * `>>` (right shift) **How they work:** 1. **Bitwise AND (`&`):** Performs a logical AND operation on two binary numbers, bit by bit. If both bits are 1, the result is 1. Otherwise, the result is 0. 2. **Bitwise OR (`|`):** Performs a logical OR operation on two binary numbers, bit by bit. If either bit is 1, the result is 1. Otherwise, the result is 0. 3. **Bitwise XOR (`^`):** Performs a logical XOR operation on two binary numbers, bit by bit. If the bits are different, the result is 1. Otherwise, the result is 0. 4. **Bitwise NOT (`~`):** Flips all the bits in a binary number. If a bit is 1, it becomes 0, and vice versa. 5. **Left shift (`<<`):** Shifts the bits in a binary number to the left by a specified number of positions. The leftmost bits are discarded, and new bits are filled with zeros. 6. **Right shift (`>>`):** Shifts the bits in a binary number to the right by a specified number of positions. The rightmost bits are discarded, and new bits are filled with zeros. **Why they are used:** 1. **Flags and masks:** Bitwise operators are useful for setting, clearing, and testing individual bits in a binary number, which is often used for flags and masks. 2. **Bit manipulation:** Bitwise operators are used to manipulate the individual bits in a binary number, which is useful in algorithms and data structures. 3. **Performance:** Bitwise operators are often faster than arithmetic operators, making them useful in performance-critical code. 4. **Data compression:** Bitwise operators can be used to compress data by packing multiple values into a single binary number. Here are some examples of using bitwise operators: ```python # Bitwise AND a = 5 # 101 b = 3 # 011 result = a & b # 001 print(result) # Output: 1 # Bitwise OR a = 5 # 101 b = 3 # 011 result = a | b # 111 print(result) # Output: 7 # Bitwise XOR a = 5 # 101 b = 3 # 011 result = a ^ b # 110 print(result) # Output: 6 # Bitwise NOT a = 5 # 00000101 result = ~a # 11111010 (in two's complement form) print(result) # Output: -6 (in decimal form) # Left shift a = 5 # 00000101 result = a << 2 # 00010100 print(result) # Output: 20 # Right shift a = 20 # 00010100 result = a >> 2 # 00000101 print(result) # Output: 5 ``` I hope this explanation helps you understand bitwise operators better. With practice and experience, you will become more comfortable using them in your code.