hubValidations 0.12.0

• Added target_validations class, a subclass of hub_validations designed for target (truth) data validation results (#265).
  • New functions: new_target_validations() and as_target_validations()
  • combine.target_validations() method for concatenating target validation objects
  • Print method displays full file paths instead of basenames for better clarity when working with target data files
• Added utilities for working with hive-partitioned data file paths:
  • extract_hive_partitions() for extracting key value pairs from paths to hive-partitioned data files.
  • is_hive_partitioned_path() for checking if a path is hive-partitioned.
• Added read_target_file() function for reading in individual target data files.
• Added target data utilities:
  • get_target_task_id() for extracting the name of the task ID(s) containing targets from the target metadata of a hub's config.
• Added target data validation checks:
  • check_target_file_name(): that a hive-partitioned target data file name can be correctly parsed.
  • check_target_dataset_exists(): that a target dataset exists and can be detected. Required before running any other checks.
  • check_target_dataset_unique(): that a single unique target dataset exists for a given target type.
  • check_target_dataset_file_ext_unique(): that file(s) in a target dataset (e.g. time-series or oracle-output) share a single unique file extension.
  • check_target_dataset_rows_unique(): that each row in a target dataset is unique. Function designed to be used as part of overall target data integrity check.
  • check_target_file_ext_valid(): that the file extension of a single target data file is valid.
  • check_target_file_read(): that a single target data file can be read in without errors.
  • check_target_tbl_colnames(): that column names of a target data file match expected column names for the target type.
  • check_target_tbl_coltypes(): that column types of a target data file match expected column types for the target type.
  • check_target_tbl_values(): that values in a target data file match valid values/value combinations for model tasks specified n the tasks.json hub config file.
  • check_target_tbl_ts_targets(): Check that targets contained in a time-series target data file or implied through hub config are valid time-series targets.
  • check_target_tbl_output_type_ids(): Check that each observation (as defined by the observable unit) in an oracle-output target data file matches the expected output_type_ids.
  • check_target_tbl_rows_unique(): Check that each observation in a target data file is unique.
  • check_target_tbl_oracle_value(): Check that the oracle_value values in an oracle-output target data file for cdf and pmf output types conform to expectations. Specifically it verifies that oracle values are either 0 or 1, pmf oracle values sum to 1 for each observation unit and cdf oracle values are non-decreasing for each observation unit when sorted by the output_type_id set defined in the hub config.
• Added validate_target_file() function for validating file level properties of a target data file (#250).
• Added validate_target_dataset() function for validating dataset level properties of a target dataset (#229).
• Added validate_target_data() function for validating the contents of a submitted target data file (#249).
• Added validate_target_submission() function for validating a single target data file (#263).
• Added validate_target_pr() function for validating all target data files in a pull request (#264).
• Improved performance of check_tbl_values_required().