| import ndef | |
| import sys | |
| # The NXP app expects an exact format of the following, including whitespace and quotes | |
| #[ | |
| # { | |
| # "type" : "55", | |
| # "mirrorparameters" : "", | |
| # "date" : 1655959791718, | |
| # "bytes" : "03504f41502e78797a2f636c61696d2f7075676a6173", |
| #!/usr/bin/python2 | |
| import sys | |
| import numpy | |
| from scipy.io import wavfile | |
| from scipy.signal import fftconvolve | |
| def usage(): | |
| print >> sys.stderr, "Usage: wavgrep.py --like|--similar|--this needle.wav haystack.wav" |
| # Create a new ECS instance for classic | |
| resource "alicloud_security_group" "vpc" { | |
| name = "tf_test_foo" | |
| vpc_id = "${alicloud_vpc.vpc.id}" | |
| } | |
| resource "alicloud_security_group_rule" "allow_ssh" { | |
| type = "ingress" | |
| ip_protocol = "tcp" | |
| nic_type = "intranet" |
| pip install --upgrade qingcloud-cli | |
| # CLI documentation: https://docs.qingcloud.com/cli/index.html | |
| # API documentation: https://docs.qingcloud.com/api/index.html | |
| # CLI Source: https://github.com/yunify/qingcloud-cli | |
| # Python SDK Source: https://github.com/yunify/qingcloud-sdk-python | |
| #Provision SubAccount in master account manual - log in, create an access key, and install the python CLI for qingcloud with your key, secret, and zone set in ~/.qingcloud/config.yaml | |
| #Create security group | |
| securitygroup=$( qingcloud iaas create-security-group --security_group_name "securitygroup-0000" | python -c 'import json,sys;print(json.load(sys.stdin)["security_group_id"]);' ) | |
| #Add security group rules (Ping and SSH) |
I hereby claim:
To claim this, I am signing this object:
| import rpy2.robjects.lib.ggplot2 as ggplot2 | |
| import rpy2.robjects as ro | |
| from rpy2.robjects.packages import importr | |
| from rpy2.robjects import pandas2ri | |
| pandas2ri.activate() | |
| predprice = pd.DataFrame({"Predicted": [x for x in pred], "Actual": [y for y in price], "Color": [z for z in color], "Clarity": [x for x in clarity]}) | |
| yourdiamond = pd.DataFrame({"Predicted": [ypred],"Actual": [ypri]}) | |
| ro.globalenv['dataframe'] = predprice | |
| pp = ggplot2.ggplot(predprice) |
| #!/usr/bin/env python | |
| import pyaudio | |
| from numpy import zeros,linspace,short,fromstring,hstack,transpose,log | |
| from scipy import fft | |
| from time import sleep | |
| #Volume Sensitivity, 0.05: Extremely Sensitive, may give false alarms | |
| # 0.1: Probably Ideal volume | |
| # 1: Poorly sensitive, will only go off for relatively loud | |
| SENSITIVITY= 1.0 |