SushilShrestha

For Linux

react-native log-android |
sed -e 's/\(.*action @ .*\)/\o033[32m\1\o033[39m/' \
    -e 's/\(.* —— log end.*\)/\o033[32m\1\o033[39m/' \
    -e 's/\(.*prev state.*\)/\o033[36m\1\o033[39m/' \
    -e 's/\(.*c action.*\)/\o033[36m\1\o033[39m/' \
    -e 's/\(.*\%c next state.*\)/\o033[36m\1\o033[39m/' \
    -e 's/\(.*W ReactNativeJS\:.*\)/\o033[33m\1\o033[39m/' \
    -e 's/\(.*E ReactNativeJS\:.*\)/\o033[31m\1\o033[39m/'

SushilShrestha

Usage

ppauto inputfilename

Requirements

Imagemagick

Sample

Input File

Output File

SushilShrestha

Activity Scheduling (Dynamic approach)

The table we are going to build for this activity scheduling problem will track the number of activities we can schedule, given a list of activities sorted by finish time. We will try to maximize the number of activities we can schedule. Consider a following activities that we need to choose from. ![table][tablephoto]

We want to solve it using the dynamic approach so we create a table of (n+1) X (n+1) to store our data for the dynamic programming. Each item say c[i][j] means number of activities that can be scheduled in between activity[i] and activity[j].

Following table is the final table we get, if we use the dynamic programming to solve the above problem.

|#|0|1|2|3|4|5|6|7|8|9|10|11|

SushilShrestha

BEGIN:VCALENDAR
BEGIN:VEVENT
SUMMARY:सरस्वती पूजा (शिक्षणसंस्
 था बिदा)
DTSTART;VALUE=DATE-TIME:20190210T090000
END:VEVENT
BEGIN:VEVENT
SUMMARY:विजया दशमी
DTSTART;VALUE=DATE-TIME:20181019T090000
END:VEVENT

SushilShrestha

PDF is defined by a Probability Distribution curve. PDF can be thought of like, given a sample data points, the PDF squashes the points to get a model (curve or distribution curve) that can be used to define the total samples. We can select a pdf train it on our dataset. find the pdf parameters and then use the model to predict future events. So PDF is a function p(x) that returns probability of x and uses parameters we obtained from the population.

We have freedom to choose what to use for p(x). There are multiple density functions you can choose from.

• Bernoulli's Distribution
• Poission's Distribution
• Normal Distribution
• Bionomial Distribution
• Negative Binomial Distribution

SushilShrestha