



'''simple docstring'''





from datasets.utils.patching import _PatchedModuleObj, patch_submodule

from . import _test_patching
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    import os as original_os
    from os import path as original_path
    from os import rename as original_rename
    from os.path import dirname as original_dirname
    from os.path import join as original_join

    assert _test_patching.os is original_os
    assert _test_patching.path is original_path
    assert _test_patching.join is original_join

    assert _test_patching.renamed_os is original_os
    assert _test_patching.renamed_path is original_path
    assert _test_patching.renamed_join is original_join

    lowerCAmelCase__			:  Union[str, Any]											= """__test_patch_submodule_mock__"""
    with patch_submodule(_test_patching							,   """os.path.join"""							,   UpperCamelCase      ):
        # Every way to access os.path.join must be patched, and the rest must stay untouched

        # check os.path.join
        assert isinstance(_test_patching.os							,   _PatchedModuleObj      )
        assert isinstance(_test_patching.os.path							,   _PatchedModuleObj      )
        assert _test_patching.os.path.join is mock

        # check path.join
        assert isinstance(_test_patching.path							,   _PatchedModuleObj      )
        assert _test_patching.path.join is mock

        # check join
        assert _test_patching.join is mock

        # check that the other attributes are untouched
        assert _test_patching.os.rename is original_rename
        assert _test_patching.path.dirname is original_dirname
        assert _test_patching.os.path.dirname is original_dirname

        # Even renamed modules or objects must be patched

        # check renamed_os.path.join
        assert isinstance(_test_patching.renamed_os							,   _PatchedModuleObj      )
        assert isinstance(_test_patching.renamed_os.path							,   _PatchedModuleObj      )
        assert _test_patching.renamed_os.path.join is mock

        # check renamed_path.join
        assert isinstance(_test_patching.renamed_path							,   _PatchedModuleObj      )
        assert _test_patching.renamed_path.join is mock

        # check renamed_join
        assert _test_patching.renamed_join is mock

        # check that the other attributes are untouched
        assert _test_patching.renamed_os.rename is original_rename
        assert _test_patching.renamed_path.dirname is original_dirname
        assert _test_patching.renamed_os.path.dirname is original_dirname

    # check that everthing is back to normal when the patch is over

    assert _test_patching.os is original_os
    assert _test_patching.path is original_path
    assert _test_patching.join is original_join

    assert _test_patching.renamed_os is original_os
    assert _test_patching.renamed_path is original_path
    assert _test_patching.renamed_join is original_join
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    assert _test_patching.open is open

    lowerCAmelCase__			:  List[str]											= """__test_patch_submodule_builtin_mock__"""
    # _test_patching has "open" in its globals
    assert _test_patching.open is open
    with patch_submodule(_test_patching							,   """open"""							,   UpperCamelCase      ):
        assert _test_patching.open is mock

    # check that everthing is back to normal when the patch is over

    assert _test_patching.open is open
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    lowerCAmelCase__			:  Union[str, Any]											= """__test_patch_submodule_missing_mock__"""
    with patch_submodule(_test_patching							,   """pandas.read_csv"""							,   UpperCamelCase      ):
        pass
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    lowerCAmelCase__			:  List[str]											= """__test_patch_submodule_missing_builtin_mock__"""
    # _test_patching doesn't have "len" in its globals
    assert getattr(_test_patching							,   """len"""							,   UpperCamelCase      ) is None
    with patch_submodule(_test_patching							,   """len"""							,   UpperCamelCase      ):
        assert _test_patching.len is mock
    assert _test_patching.len is len
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    lowerCAmelCase__			:  Dict											= """__test_patch_submodule_start_and_stop_mock__"""
    lowerCAmelCase__			:  Optional[int]											= patch_submodule(_test_patching							,   """open"""							,   UpperCamelCase      )
    assert _test_patching.open is open
    patch.start()
    assert _test_patching.open is mock
    patch.stop()
    assert _test_patching.open is open
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    from os import rename as original_rename
    from os.path import dirname as original_dirname
    from os.path import join as original_join

    lowerCAmelCase__			:  Dict											= """__test_patch_submodule_successive_join__"""
    lowerCAmelCase__			:  Any											= """__test_patch_submodule_successive_dirname__"""
    lowerCAmelCase__			:  str											= """__test_patch_submodule_successive_rename__"""
    assert _test_patching.os.path.join is original_join
    assert _test_patching.os.path.dirname is original_dirname
    assert _test_patching.os.rename is original_rename

    with patch_submodule(_test_patching							,   """os.path.join"""							,   UpperCamelCase      ):
        with patch_submodule(_test_patching							,   """os.rename"""							,   UpperCamelCase      ):
            with patch_submodule(_test_patching							,   """os.path.dirname"""							,   UpperCamelCase      ):
                assert _test_patching.os.path.join is mock_join
                assert _test_patching.os.path.dirname is mock_dirname
                assert _test_patching.os.rename is mock_rename

    # try another order
    with patch_submodule(_test_patching							,   """os.rename"""							,   UpperCamelCase      ):
        with patch_submodule(_test_patching							,   """os.path.join"""							,   UpperCamelCase      ):
            with patch_submodule(_test_patching							,   """os.path.dirname"""							,   UpperCamelCase      ):
                assert _test_patching.os.path.join is mock_join
                assert _test_patching.os.path.dirname is mock_dirname
                assert _test_patching.os.rename is mock_rename

    assert _test_patching.os.path.join is original_join
    assert _test_patching.os.path.dirname is original_dirname
    assert _test_patching.os.rename is original_rename




def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    lowerCAmelCase__			:  Optional[int]											= """__test_patch_submodule_doesnt_exist_mock__"""
    with patch_submodule(_test_patching							,   """__module_that_doesn_exist__.__attribute_that_doesn_exist__"""							,   UpperCamelCase      ):
        pass
    with patch_submodule(_test_patching							,   """os.__attribute_that_doesn_exist__"""							,   UpperCamelCase      ):
        pass











'''simple docstring'''





# Logistic Regression from scratch

# In[62]:

# In[63]:

# importing all the required libraries

import numpy as np
from matplotlib import pyplot as plt
from sklearn import datasets
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase      ):



    """simple docstring"""





    return 1 / (1 + np.exp(-z      ))
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    return (-y * np.log(UpperCamelCase      ) - (1 - y) * np.log(1 - h      )).mean()
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    lowerCAmelCase__			:  Union[str, Any]											= np.dot(UpperCamelCase							,   UpperCamelCase      )
    return np.sum(y * scores - np.log(1 + np.exp(UpperCamelCase      )      )      )
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase=70000      ):



    """simple docstring"""





    lowerCAmelCase__			:  Union[str, Any]											= np.zeros(x.shape[1]      )

    for iterations in range(UpperCamelCase      ):
        lowerCAmelCase__			:  str											= np.dot(UpperCamelCase							,   UpperCamelCase      )
        lowerCAmelCase__			:  Tuple											= sigmoid_function(UpperCamelCase      )
        lowerCAmelCase__			:  List[str]											= np.dot(x.T							,   h - y      ) / y.size
        lowerCAmelCase__			:  List[Any]											= theta - alpha * gradient  # updating the weights
        lowerCAmelCase__			:  List[Any]											= np.dot(UpperCamelCase							,   UpperCamelCase      )
        lowerCAmelCase__			:  List[Any]											= sigmoid_function(UpperCamelCase      )
        lowerCAmelCase__			:  List[Any]											= cost_function(UpperCamelCase							,   UpperCamelCase      )
        if iterations % 100 == 0:
            print(f"""loss: {j} \t"""      )  # printing the loss after every 100 iterations
    return theta


# In[68]:

if __name__ == "__main__":
 _lowerCAmelCase										=     datasets.load_iris()
 _lowerCAmelCase										=     iris.data[:, :2]
 _lowerCAmelCase										=     (iris.target != 0) * 1

 _lowerCAmelCase										=     0.1
 _lowerCAmelCase										=     logistic_reg(alpha, x, y, max_iterations=7_0000)
 print('''theta: ''', theta)  # printing the theta i.e our weights vector
 def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase      ):



     """simple docstring"""





     return sigmoid_function(
         np.dot(UpperCamelCase							,   UpperCamelCase      )      )  # predicting the value of probability from the logistic regression algorithm

 plt.figure(figsize=(10, 6))
 plt.scatter(x[y == 0][:, 0], x[y == 0][:, 1], color='''b''', label='''0''')
 plt.scatter(x[y == 1][:, 0], x[y == 1][:, 1], color='''r''', label='''1''')
 ((_lowerCAmelCase)						,      (_lowerCAmelCase))										=     (x[:, 0].min(), x[:, 0].max())
 ((_lowerCAmelCase)						,      (_lowerCAmelCase))										=     (x[:, 1].min(), x[:, 1].max())
 ((_lowerCAmelCase)						,      (_lowerCAmelCase))										=     np.meshgrid(np.linspace(xa_min, xa_max), np.linspace(xa_min, xa_max))
 _lowerCAmelCase										=     np.c_[xxa.ravel(), xxa.ravel()]
 _lowerCAmelCase										=     predict_prob(grid).reshape(xxa.shape)
 plt.contour(xxa, xxa, probs, [0.5], linewidths=1, colors='''black''')

 plt.legend()




 plt.show()


