Simon-Martin Schröder moi90

## Threadsafe_iter.py
import threading
'''
    A generic iterator and generator that takes any iterator and wrap it to make it thread safe.
    This method was introducted by Anand Chitipothu in http://anandology.com/blog/using-iterators-and-generators/
    but was not compatible with python 3. This modified version is now compatible and works both in python 2.8 and 3.0
'''
class threadsafe_iter:
    """Takes an iterator/generator and makes it thread-safe by
    serializing call to the `next` method of given iterator/generator.
    """

## 01.bash_shortcuts_v2.md

      
              1 file
            
          
              160 forks
            
          
              47 comments
            
          
              794 stars
            
          
                tuxfight3r
                / 01.bash_shortcuts_v2.md
            
            
              Last active
              May 4, 2024 16:58
            
              
                Bash keyboard shortcuts
              
          
    Bash Shortcuts


Moving


command
description


ctrl + a
Goto BEGINNING of command line


## unsupervised_alt.py
""" Unsupervised evaluation metrics. """

# License: BSD Style.

from itertools import combinations
import numpy as np

from sklearn.utils import check_random_state
from sklearn.metrics.pairwise import distance_metrics
from sklearn.metrics.pairwise import pairwise_distances
	import threading
	'''
	A generic iterator and generator that takes any iterator and wrap it to make it thread safe.
	This method was introducted by Anand Chitipothu in http://anandology.com/blog/using-iterators-and-generators/
	but was not compatible with python 3. This modified version is now compatible and works both in python 2.8 and 3.0
	'''
	class threadsafe_iter:
	"""Takes an iterator/generator and makes it thread-safe by
	serializing call to the `next` method of given iterator/generator.
	"""
	""" Unsupervised evaluation metrics. """

	# License: BSD Style.

	from itertools import combinations
	import numpy as np

	from sklearn.utils import check_random_state
	from sklearn.metrics.pairwise import distance_metrics
	from sklearn.metrics.pairwise import pairwise_distances