nathanhere

"""
Rough PoC using binary search to find the optimal number of model layers to offload to the GPU, for this LLM and this hardware.
"""
import time

def call_llm(prompt, gpu_layers):
    # TODO fill in the actual call to LLM here

    # dummy GPU memory limit
    test_best_layers = 60

nathanhere

/**
 * Credits
 * @Bkucera: https://github.com/cypress-io/cypress/issues/2839#issuecomment-447012818
 * @Phrogz: https://stackoverflow.com/a/10730777/1556245
 *
 * Usage
 * ```
 * // Types "foo" and then selects "fo"
 * cy.get('input')
 *   .type('foo')

nathanhere

def removeListDuplicates(seq):
	seen = set()
	seen_add = seen.add
	return [ x for x in seq if x not in seen and not seen_add(x) ]

nathanhere

#!/usr/bin/python

# Make sure file permission is set so that Owner, Group, and Everyone can EXECUTE.
# Otherwise server error

import os
import platform

print "Content-Type: text/html"
print

nathanhere

from smtplib import SMTP_SSL

smtp = SMTP_SSL()

def emailUser():
  from_who_alias = 'Jarvis'
  from_who_real = '[email protected]'
  to = '[email protected]'
  subject = 'Your Subject'
  msg = 'Your message'

nathanhere

# Actual Search URL takes the form of https://api.linkedin.com/v1/people-search:(people:(first-name,last-name))?keywords=apple%20microsoft
results = application.search_profile(selectors=[{'people': ['first-name', 'last-name', 'headline', 'id', 'location', 'public-profile-url']}], params={'keywords': 'apple microsoft'})
profiles = [p for p in results['people']['values']] # returns the list of profiles only

# Set connection search limit. Start is the starting profile number, count is the number of profiles returned from the start number. In this case, it is 100.
application.get_connections(selectors=['headline', 'id','first-name', 'last-name','location'], params={'start':0, 'count':100})
profiles = [p for p in results['people']['values']] # returns the list of profiles only

# As of late 2012, this only retrieves the app user's own full profile info, and will not fetch full profile features (i.e. SKILLS) of connections, only basic profile info. Calling this function without a member_id parameter will pull the 

nathanhere

Initial Gist Test

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nathanhere

# Currently for use with local flask server only -- See corresponding flask code snippet

from linkedin import linkedin
import requests

API_KEY = ''
API_SECRET = ''
OAUTH_TOKEN = ''
OAUTH_SECRET= ''
SCOPE = 'r_fullprofile%20r_network%20r_emailaddress%20r_contactinfo'