Add identifier issue_manager

[01PrathamS]

Summary

🎯 Purpose: Add new issue manager like identifier_column that checks whether features contains a column that is entirely sequential integers.

[ ✏️this issue manager checks if data has identifier column if yes than it returns 0 else return None ]

import numpy as np 
import pandas as pd 
from cleanlab import Datalab
data = {
    'A': [1, 2, 3, 4, 5],
    'B': [6, 5, 8, 9, 10],
    'C': [2, 12, 13, 14, 15],
    'D': [4, 17, 18, 19, 20],
    'E': [21, 22, 23, 24, 4]
}
df = pd.DataFrame(data)
lab = Datalab(data=df, label_name="D", task="classification")
lab.find_issues(features=df.values, issue_types={"identifier_column":{}})

***====output===****

Finding identifier_column issues ...

Audit complete. 1 issues found in the dataset.

lab.issue_summary
          issue_type  score  num_issues
0  identifier_column    0.0           1

Reviewer Notes

💡 Test cases done.

solves: #923

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (594307e) 96.86% compared to head (49213e7) 94.89%.
Report is 11 commits behind head on master.

❗ Current head 49213e7 differs from pull request most recent head ce2fb90. Consider uploading reports for the commit ce2fb90 to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #947      +/-   ##
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- Coverage   96.86%   94.89%   -1.98%     
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  Files          71       71              
  Lines        5708     5716       +8     
  Branches      972      972              
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- Hits         5529     5424     -105     
- Misses         93      215     +122     
+ Partials       86       77       -9     

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