Simon Hengchen drvenabili

## networkmanager-wifi-powersave.md

      
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                drvenabili
                / networkmanager-wifi-powersave.md
            
            
              Created
              November 6, 2023 08:47
                — forked from jcberthon/networkmanager-wifi-powersave.md
            
              
                NetworkManager Wi-Fi powersaving configuration
              
          
    NetworkManager WiFi Power Saving

NetworkManager supports WiFi powersaving but the function is rather undocumented.
From the source code: wifi.powersave can have the following value:

NM_SETTING_WIRELESS_POWERSAVE_DEFAULT (0): use the default value
NM_SETTING_WIRELESS_POWERSAVE_IGNORE  (1): don't touch existing setting
NM_SETTING_WIRELESS_POWERSAVE_DISABLE (2): disable powersave


## gensim_word2vec_procrustes_align.py
## This is a copy for backup purposes. The original GitHub gist by Ryan Heuser is available at https://gist.github.com/quadrismegistus/09a93e219a6ffc4f216fb85235535faf .

def smart_procrustes_align_gensim(base_embed, other_embed, words=None):
	"""Procrustes align two gensim word2vec models (to allow for comparison between same word across models).
	Code ported from HistWords <https://github.com/williamleif/histwords> by William Hamilton <wleif@stanford.edu>.
		(With help from William. Thank you!)

	First, intersect the vocabularies (see `intersection_align_gensim` documentation).
	Then do the alignment on the other_embed model.
	Replace the other_embed model's syn0 and syn0norm numpy matrices with the aligned version.
	## This is a copy for backup purposes. The original GitHub gist by Ryan Heuser is available at https://gist.github.com/quadrismegistus/09a93e219a6ffc4f216fb85235535faf .

	def smart_procrustes_align_gensim(base_embed, other_embed, words=None):
	"""Procrustes align two gensim word2vec models (to allow for comparison between same word across models).
	Code ported from HistWords <https://github.com/williamleif/histwords> by William Hamilton <wleif@stanford.edu>.
	(With help from William. Thank you!)

	First, intersect the vocabularies (see `intersection_align_gensim` documentation).
	Then do the alignment on the other_embed model.
	Replace the other_embed model's syn0 and syn0norm numpy matrices with the aligned version.