readme txt to md

Author: s3alfisc

pyfixest/estimation/estimation.py

@@ -1,4 +1,4 @@
-from typing import Optional, Union, List
+from typing import List, Optional, Union
 
 import pandas as pd
 
@@ -589,7 +589,7 @@ def _estimation_input_checks(
  use_compression: bool,
  reps: Optional[int],
  seed: Optional[int],
- separation_check: List[str]=None,
+ separation_check: List[str] = None,
 ):
  if not isinstance(fml, str):
  raise TypeError("fml must be a string")

…lmhdfe_separation_examples/readme.md.txt …a/pplmhdfe_separation_examples/readme.mdtests/data/pplmhdfe_separation_examples/readme.md.txt renamed to tests/data/pplmhdfe_separation_examples/readme.md tests/data/pplmhdfe_separation_examples/readme.md.txt renamed to tests/data/pplmhdfe_separation_examples/readme.md

@@ -1,4 +1,4 @@
 ## Separation Data Sets
 
 All files in this document stem from the [pplmhdfe test suite](https://github.com/sergiocorreia/ppmlhdfe/tree/master/test/separation_datasets),
-published under MIT license.
+published under MIT license.

tests/test_poisson.py

@@ -48,15 +48,14 @@ def test_separation():
  ):
  fepois("Y ~ X1 | X2", data=example2, vcov="hetero", separation_check=["ir"]) # noqa: F841
 
-
  data_01 = pd.read_csv("data/pplmhdfe_separations_examples/data_01.csv")
 
  # pplmhdfe test data sets:
  with pytest.warns(
- UserWarning, match=f"{str(data_01.sum())} observations removed because of separation."
+ UserWarning,
+ match=f"{str(data_01.sum())} observations removed because of separation.",
  ):
-
- pf.fepois("y ~ x1 + x2 | id1 + id2", data = data_01, separation_check = ["ir"])
+ pf.fepois("y ~ x1 + x2 | id1 + id2", data=data_01, separation_check=["ir"])
 
 
 @pytest.mark.parametrize("fml", ["Y ~ X1", "Y ~ X1 | f1"])