U ÀÎ_l ã@sHddlmZddlmZddlmZddlZddddgdd fd d „ZdS) é)Ú iterators)Ú interface)ÚCounterNZ featuretypeZchromÚattribute_keysÚ feature_countTcCsêi}g}|D] }|dkr"| |¡tƒ||<q d|k}t |¡}d} |D]r} |rjtj d| ¡tj ¡|D]} ||  t | | ƒg¡qn|r¢|d | j   ¡¡| d7} |rH| |krHq¼qHi} |  ¡D]\} }t |ƒ| | <qÈ| | d<| S)a Inspect a GFF or GTF data source. This function is useful for figuring out the different featuretypes found in a file (for potential removal before creating a FeatureDB). Returns a dictionary with a key for each item in `look_for` and a corresponding value that is a dictionary of how many of each unique item were found. There will always be a `feature_count` key, indicating how many features were looked at (if `limit` is provided, then `feature_count` will be the same as `limit`). For example, if `look_for` is ['chrom', 'featuretype'], then the result will be a dictionary like:: { 'chrom': { 'chr1': 500, 'chr2': 435, 'chr3': 200, ... ... }. 'featuretype': { 'gene': 150, 'exon': 324, ... }, 'feature_count': 5000 } Parameters ---------- data : str, FeatureDB instance, or iterator of Features If `data` is a string, assume it's a GFF or GTF filename. If it's a FeatureDB instance, then its `all_features()` method will be automatically called. Otherwise, assume it's an iterable of Feature objects. look_for : list List of things to keep track of. Options are: - any attribute of a Feature object, such as chrom, source, start, stop, strand. - "attribute_keys", which will look at all the individual attribute keys of each feature limit : int Number of features to look at. Default is no limit. verbose : bool Report how many features have been processed. Returns ------- dict )rrrrz %s features inspectedér)ÚappendrrZ DataIteratorÚsysÚstderrÚwriteÚflushÚupdateÚgetattrZ attributesÚkeysÚitemsÚdict)ÚdataZlook_forÚlimitÚverboseÚresultsZ obj_attrsÚiZ attr_keysÚdrÚfZobj_attrZ new_resultsÚkÚv©rú/lib/python3.8/site-packages/gffutils/inspect.pyÚinspects2C     r)ZgffutilsrrÚ collectionsrr rrrrrÚs   ÿÿ