filwaline

## readme.md

      
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                filwaline
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              Last active
              April 20, 2023 15:48
            
              
                install pg12 with pigsty-2.0.2
              
          
    prepare brand new instance Rocky Linux 9.0
bash -c "$(curl -fsSL http://download.pigsty.cc/get)"  
cd ~/pigsty   
./bootstrap   
./configure   


https://vonng.github.io/pigsty/#/PGSQL-ADMIN?id=adding-packages


## full-comb.py

def _comb_1(last_subsets, elem, head, rest, full_result, current_subsets):
    new_subset = list(sorted(set(elem + head)))

    if new_subset not in full_result:
        full_result = full_result + [new_subset]
        current_subsets = current_subsets + [new_subset]

    if rest:
        return _comb_1(

## gist:64b3f59feb819e6b337d685d55433483
def numbers(start=0):
    num = start
    while True:
        yield num
        num += 1


def primes(seq):

    num = next(seq)

## websocket_retry.py
# Standard Library
import asyncio
import random

# Third Party Library
import websockets
from websockets.exceptions import ConnectionClosedError, ConnectionClosedOK


class WebSocketRetry:

## learning rate.py

import numpy as np
import random
import matplotlib.pyplot as plt
from matplotlib import animation


################################
# 修改这个alpha玩！其他代码不需要动！
#　这个示意的例子跟真实ML不一样，alpha通常在0.001到0.1之间

	def _comb_1(last_subsets, elem, head, rest, full_result, current_subsets):
	new_subset = list(sorted(set(elem + head)))

	if new_subset not in full_result:
	full_result = full_result + [new_subset]
	current_subsets = current_subsets + [new_subset]

	if rest:
	return _comb_1(
	def numbers(start=0):
	num = start
	while True:
	yield num
	num += 1


	def primes(seq):

	num = next(seq)
	# Standard Library
	import asyncio
	import random

	# Third Party Library
	import websockets
	from websockets.exceptions import ConnectionClosedError, ConnectionClosedOK


	class WebSocketRetry:

	import numpy as np
	import random
	import matplotlib.pyplot as plt
	from matplotlib import animation


	################################
	# 修改这个alpha玩！其他代码不需要动！
	#　这个示意的例子跟真实ML不一样，alpha通常在0.001到0.1之间