Read and sanitize data from the CSV file while using interfaces provided in the SRC directory.

# Summary Your mission, should you choose to accept it, is to read and sanitize data from the `[login to view URL]` file while using interfaces provided in the `src` directory. # Description User supplied data is unknown and inherently cannot be trusted. . # Setup `composer install` # Implementation `[login to view URL]` and `[login to view URL]` classed provided are placeholders and should be populated. You are free to use any tool necessary to accomplish your objective. The only requirement is that `[login to view URL]` should run as is, without needing much, if any, modification. You can run `[login to view URL]` to see data manipulation and to verify your work. ### Classes `Parser` class is responsible for interfacing with the `[login to view URL]` input file and _extracting_ its data. `Filter` class is responsible for _transforming_ supplied file data values into sanitized values ready for permanent storage. `Validate` class is responsible for ensuring sanitized values conform to the defined specifications below. ### Sanitation Specifications Please sanitize `data/[login to view URL]` data according to the following rules: * Column 1 = Account Number Account number should be a 10 digit string with leading zeros. For example, `12345678` should filter to `0012345678`. * Column 2 = Account Name Account name should be a string and should not contain any special characters, only alphanumerics and ` ` (space), `,` (comma), `-` (dash). For example, `@Widget Co., Inc.` should filter to `Widget Co, Inc`. * Column 3 = Transaction Fee Transaction fee should be a number with precision of 2. Rounding is allowed. For example, `$.201` should filter to `0.20`. * Column 4 = Phone Number Phone number should be a string formatted as ###-###-####. For example, `1 (312) 555-1234` should filter to `312-555-1234`.