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RAPIDS
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Minimal Example
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Initializing search
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RAPIDS
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Setup
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Setup
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Overview
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Minimal Example
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Installation
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Configuration
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Execution
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Citation
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Data Streams
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Data Streams
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< li class = "md-nav__item" >
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Introduction
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Phone
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< span class = "md-nav__icon md-icon" > < / span >
Phone
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aware_mysql
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aware_csv
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< a href = "../../datastreams/aware-influxdb/" class = "md-nav__link" >
aware_influxdb (beta)
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Mandatory Phone Format
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< label class = "md-nav__link" for = "__nav_3_3" >
Fitbit
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< nav class = "md-nav" aria-label = "Fitbit" data-md-level = "2" >
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Fitbit
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< a href = "../../datastreams/fitbitjson-mysql/" class = "md-nav__link" >
fitbitjson_mysql
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../datastreams/fitbitjson-csv/" class = "md-nav__link" >
fitbitjson_csv
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../datastreams/fitbitparsed-mysql/" class = "md-nav__link" >
fitbitparsed_mysql
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../datastreams/fitbitparsed-csv/" class = "md-nav__link" >
fitbitparsed_csv
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../datastreams/mandatory-fitbit-format/" class = "md-nav__link" >
Mandatory Fitbit Format
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< / a >
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< / li >
< / ul >
< / nav >
< / li >
< li class = "md-nav__item md-nav__item--nested" >
< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_3_4" type = "checkbox" id = "__nav_3_4" >
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< label class = "md-nav__link" for = "__nav_3_4" >
Empatica
< span class = "md-nav__icon md-icon" > < / span >
< / label >
< nav class = "md-nav" aria-label = "Empatica" data-md-level = "2" >
< label class = "md-nav__title" for = "__nav_3_4" >
< span class = "md-nav__icon md-icon" > < / span >
Empatica
< / label >
< ul class = "md-nav__list" data-md-scrollfix >
< li class = "md-nav__item" >
< a href = "../../datastreams/empatica-zip/" class = "md-nav__link" >
empatica_zip
< / a >
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< / li >
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2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../datastreams/mandatory-empatica-format/" class = "md-nav__link" >
Mandatory Empatica Format
< / a >
< / li >
< / ul >
< / nav >
< / li >
< li class = "md-nav__item" >
< a href = "../../datastreams/add-new-data-streams/" class = "md-nav__link" >
Add New Data Streams
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< / a >
< / li >
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< / ul >
< / nav >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item md-nav__item--section md-nav__item--nested" >
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< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_4" type = "checkbox" id = "__nav_4" >
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< label class = "md-nav__link" for = "__nav_4" >
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Behavioral Features
< span class = "md-nav__icon md-icon" > < / span >
< / label >
< nav class = "md-nav" aria-label = "Behavioral Features" data-md-level = "1" >
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< label class = "md-nav__title" for = "__nav_4" >
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< span class = "md-nav__icon md-icon" > < / span >
Behavioral Features
< / label >
< ul class = "md-nav__list" data-md-scrollfix >
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< li class = "md-nav__item" >
< a href = "../../features/feature-introduction/" class = "md-nav__link" >
Introduction
< / a >
< / li >
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2020-11-09 19:27:07 +01:00
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item md-nav__item--nested" >
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< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_4_2" type = "checkbox" id = "__nav_4_2" >
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< label class = "md-nav__link" for = "__nav_4_2" >
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Phone
< span class = "md-nav__icon md-icon" > < / span >
< / label >
< nav class = "md-nav" aria-label = "Phone" data-md-level = "2" >
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< label class = "md-nav__title" for = "__nav_4_2" >
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< span class = "md-nav__icon md-icon" > < / span >
Phone
< / label >
< ul class = "md-nav__list" data-md-scrollfix >
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< li class = "md-nav__item" >
< a href = "../../features/phone-accelerometer/" class = "md-nav__link" >
Phone Accelerometer
< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
< a href = "../../features/phone-activity-recognition/" class = "md-nav__link" >
Phone Activity Recognition
< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
< a href = "../../features/phone-applications-crashes/" class = "md-nav__link" >
Phone Applications Crashes
< / a >
< / li >
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< li class = "md-nav__item" >
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< a href = "../../features/phone-applications-foreground/" class = "md-nav__link" >
Phone Applications Foreground
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-applications-notifications/" class = "md-nav__link" >
Phone Applications Notifications
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-battery/" class = "md-nav__link" >
Phone Battery
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-bluetooth/" class = "md-nav__link" >
Phone Bluetooth
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-calls/" class = "md-nav__link" >
Phone Calls
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-conversation/" class = "md-nav__link" >
Phone Conversation
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-data-yield/" class = "md-nav__link" >
Phone Data Yield
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-keyboard/" class = "md-nav__link" >
Phone Keyboard
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/phone-light/" class = "md-nav__link" >
Phone Light
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< / a >
< / li >
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< li class = "md-nav__item" >
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< a href = "../../features/phone-locations/" class = "md-nav__link" >
Phone Locations
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< / a >
< / li >
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< li class = "md-nav__item" >
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< a href = "../../features/phone-log/" class = "md-nav__link" >
Phone Log
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< / a >
< / li >
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< li class = "md-nav__item" >
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< a href = "../../features/phone-messages/" class = "md-nav__link" >
Phone Messages
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/phone-screen/" class = "md-nav__link" >
Phone Screen
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/phone-wifi-connected/" class = "md-nav__link" >
Phone WiFI Connected
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
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< li class = "md-nav__item" >
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< a href = "../../features/phone-wifi-visible/" class = "md-nav__link" >
Phone WiFI Visible
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< / a >
< / li >
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2020-11-26 01:43:05 +01:00
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< / ul >
< / nav >
< / li >
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< li class = "md-nav__item md-nav__item--nested" >
< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_4_3" type = "checkbox" id = "__nav_4_3" >
< label class = "md-nav__link" for = "__nav_4_3" >
Fitbit
< span class = "md-nav__icon md-icon" > < / span >
< / label >
< nav class = "md-nav" aria-label = "Fitbit" data-md-level = "2" >
< label class = "md-nav__title" for = "__nav_4_3" >
< span class = "md-nav__icon md-icon" > < / span >
Fitbit
< / label >
< ul class = "md-nav__list" data-md-scrollfix >
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< li class = "md-nav__item" >
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< a href = "../../features/fitbit-data-yield/" class = "md-nav__link" >
Fitbit Data Yield
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/fitbit-heartrate-summary/" class = "md-nav__link" >
Fitbit Heart Rate Summary
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/fitbit-heartrate-intraday/" class = "md-nav__link" >
Fitbit Heart Rate Intraday
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/fitbit-sleep-summary/" class = "md-nav__link" >
Fitbit Sleep Summary
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/fitbit-sleep-intraday/" class = "md-nav__link" >
Fitbit Sleep Intraday
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
2021-03-30 21:35:39 +02:00
< a href = "../../features/fitbit-steps-summary/" class = "md-nav__link" >
Fitbit Steps Summary
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< / a >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/fitbit-steps-intraday/" class = "md-nav__link" >
Fitbit Steps Intraday
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< / a >
< / li >
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< / ul >
< / nav >
< / li >
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2020-11-19 18:31:39 +01:00
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< li class = "md-nav__item md-nav__item--nested" >
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< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_4_4" type = "checkbox" id = "__nav_4_4" >
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< label class = "md-nav__link" for = "__nav_4_4" >
Empatica
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< span class = "md-nav__icon md-icon" > < / span >
< / label >
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< nav class = "md-nav" aria-label = "Empatica" data-md-level = "2" >
< label class = "md-nav__title" for = "__nav_4_4" >
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< span class = "md-nav__icon md-icon" > < / span >
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Empatica
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< / label >
< ul class = "md-nav__list" data-md-scrollfix >
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2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/empatica-accelerometer/" class = "md-nav__link" >
Empatica Accelerometer
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< / a >
< / li >
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2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/empatica-heartrate/" class = "md-nav__link" >
Empatica Heart Rate
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< / a >
< / li >
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2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
2021-03-30 21:35:39 +02:00
< a href = "../../features/empatica-temperature/" class = "md-nav__link" >
Empatica Temperature
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< / a >
< / li >
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2020-11-19 18:31:39 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/empatica-electrodermal-activity/" class = "md-nav__link" >
Empatica Electrodermal Activity
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< / a >
< / li >
2020-11-19 18:31:39 +01:00
2021-02-09 20:53:35 +01:00
2020-11-23 22:53:20 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/empatica-blood-volume-pulse/" class = "md-nav__link" >
Empatica Blood Volume Pulse
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< / a >
< / li >
2020-11-23 22:53:20 +01:00
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2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
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< a href = "../../features/empatica-inter-beat-interval/" class = "md-nav__link" >
Empatica Inter Beat Interval
< / a >
< / li >
< li class = "md-nav__item" >
< a href = "../../features/empatica-tags/" class = "md-nav__link" >
Empatica Tags
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< / a >
< / li >
2020-11-19 18:31:39 +01:00
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2020-11-19 18:31:39 +01:00
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< / ul >
< / nav >
< / li >
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< li class = "md-nav__item" >
< a href = "../../features/add-new-features/" class = "md-nav__link" >
Add New Features
< / a >
< / li >
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< / ul >
< / nav >
< / li >
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2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
2020-11-09 19:27:07 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item md-nav__item--section md-nav__item--nested" >
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< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_5" type = "checkbox" id = "__nav_5" >
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< label class = "md-nav__link" for = "__nav_5" >
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Visualizations
< span class = "md-nav__icon md-icon" > < / span >
< / label >
< nav class = "md-nav" aria-label = "Visualizations" data-md-level = "1" >
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< label class = "md-nav__title" for = "__nav_5" >
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< span class = "md-nav__icon md-icon" > < / span >
Visualizations
< / label >
< ul class = "md-nav__list" data-md-scrollfix >
2020-12-04 22:22:17 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
< a href = "../../visualizations/data-quality-visualizations/" class = "md-nav__link" >
Data Quality
< / a >
< / li >
2020-12-04 22:22:17 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item" >
< a href = "../../visualizations/feature-visualizations/" class = "md-nav__link" >
Features
< / a >
< / li >
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2020-12-04 22:22:17 +01:00
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< / ul >
< / nav >
< / li >
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2020-12-04 22:22:17 +01:00
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2020-12-04 22:22:17 +01:00
2021-02-09 20:53:35 +01:00
< li class = "md-nav__item md-nav__item--section md-nav__item--nested" >
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< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_6" type = "checkbox" id = "__nav_6" >
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< label class = "md-nav__link" for = "__nav_6" >
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Analysis Workflows
< span class = "md-nav__icon md-icon" > < / span >
< / label >
< nav class = "md-nav" aria-label = "Analysis Workflows" data-md-level = "1" >
< label class = "md-nav__title" for = "__nav_6" >
< span class = "md-nav__icon md-icon" > < / span >
Analysis Workflows
< / label >
< ul class = "md-nav__list" data-md-scrollfix >
< li class = "md-nav__item" >
< a href = "../analysis/" class = "md-nav__link" >
Complete Example
< / a >
< / li >
< / ul >
< / nav >
< / li >
< li class = "md-nav__item md-nav__item--section md-nav__item--nested" >
< input class = "md-nav__toggle md-toggle" data-md-toggle = "__nav_7" type = "checkbox" id = "__nav_7" >
< label class = "md-nav__link" for = "__nav_7" >
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< article class = "md-content__inner md-typeset" >
< a href = "https://github.com/carissalow/rapids/edit/master/docs/workflow-examples/minimal.md" title = "Edit this page" class = "md-content__button md-icon" >
< svg xmlns = "http://www.w3.org/2000/svg" viewBox = "0 0 24 24" > < path d = "M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z" / > < / svg >
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< h1 id = "minimal-working-example" > Minimal Working Example< a class = "headerlink" href = "#minimal-working-example" title = "Permanent link" > ¶ < / a > < / h1 >
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< p > This is a quick guide for creating and running a simple pipeline to extract missing, outgoing, and incoming < code > call< / code > features for < code > 24 hr< / code > (< code > 00:00:00< / code > to < code > 23:59:59< / code > ) and < code > night< / code > (< code > 00:00:00< / code > to < code > 05:59:59< / code > ) time segments of every day of data of one participant that was monitored on the US East coast with an Android smartphone.< / p >
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< ol >
< li > Install RAPIDS and make sure your < code > conda< / code > environment is active (see < a href = "../../setup/installation" > Installation< / a > )< / li >
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< li > Download this < a href = "../../img/calls.csv" > CSV file< / a > and save it as < code > data/external/aware_csv/calls.csv< / code > < / li >
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< li >
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< p > Make the changes listed below for the corresponding < a href = "../../setup/configuration" > Configuration< / a > step (we provide an example of what the relevant sections in your < code > config.yml< / code > will look like after you are done)< / p >
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< details class = "info" > < summary > Required configuration changes (< em > click to expand< / em > )< / summary > < ol >
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< li >
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< p > < strong > Supported < a href = "../../setup/configuration#supported-data-streams" > data streams< / a > .< / strong > < / p >
< p > Based on the docs, we decided to use the < code > aware_csv< / code > data stream because we are processing aware data saved in a CSV file. We will use this label in a later step; there’ s no need to type it or save it anywhere yet.< / p >
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< / li >
< li >
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< p > < strong > Create your < a href = "../../setup/configuration#participant-files" > participants file< / a > .< / strong > < / p >
< p > Since we are processing data from a single participant, you only need to create a single participant file called < code > p01.yaml< / code > in < code > data/external/participant_files< / code > . This participant file only has a < code > PHONE< / code > section because this hypothetical participant was only monitored with a smartphone. Note that for a real analysis, you can do this < a href = "../../setup/configuration##automatic-creation-of-participant-files" > automatically with a CSV file< / a > < / p >
< ol >
< li >
< p > Add < code > p01< / code > to < code > [PIDS]< / code > in < code > config.yaml< / code > < / p >
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< / li >
< li >
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< p > Create a file in < code > data/external/participant_files/p01.yaml< / code > with the following content:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > < span class = "nt" > PHONE< / span > < span class = "p" > :< / span >
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< span class = "nt" > DEVICE_IDS< / span > < span class = "p" > :< / span > < span class = "p p-Indicator" > [< / span > < span class = "nv" > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / span > < span class = "p p-Indicator" > ]< / span > < span class = "c1" > # the participant' s AWARE device id< / span >
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< span class = "nt" > PLATFORMS< / span > < span class = "p" > :< / span > < span class = "p p-Indicator" > [< / span > < span class = "nv" > android< / span > < span class = "p p-Indicator" > ]< / span > < span class = "c1" > # or ios< / span >
< span class = "nt" > LABEL< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > MyTestP01< / span > < span class = "c1" > # any string< / span >
< span class = "nt" > START_DATE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > 2020-01-01< / span > < span class = "c1" > # this can also be empty< / span >
< span class = "nt" > END_DATE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > 2021-01-01< / span > < span class = "c1" > # this can also be empty< / span >
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< / code > < / pre > < / div >
< / li >
< / ol >
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< / li >
< li >
< p > < strong > Select what < a href = "../../setup/configuration#time-segments" > time segments< / a > you want to extract features on.< / strong > < / p >
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< ol >
< li >
< p > Set < code > [TIME_SEGMENTS][FILE]< / code > to < code > data/external/timesegments_periodic.csv< / code > < / p >
< / li >
< li >
< p > Create a file in < code > data/external/timesegments_periodic.csv< / code > with the following content< / p >
< div class = "highlight" > < pre > < span > < / span > < code > label,start_time,length,repeats_on,repeats_value
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daily,00:00:00,23H 59M 59S,every_day,0
night,00:00:00,5H 59M 59S,every_day,0
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< / code > < / pre > < / div >
< / li >
< / ol >
< / li >
< li >
< p > < strong > Choose the < a href = "../../setup/configuration#timezone-of-your-study" > timezone of your study< / a > .< / strong > < / p >
< p > We will use the default time zone settings since this example is processing data collected on the US East Coast (< code > America/New_York< / code > )< / p >
< div class = "highlight" > < pre > < span > < / span > < code > < span class = "nt" > TIMEZONE< / span > < span class = "p" > :< / span >
< span class = "nt" > TYPE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > SINGLE< / span >
< span class = "nt" > SINGLE< / span > < span class = "p" > :< / span >
< span class = "nt" > TZCODE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > America/New_York< / span >
< / code > < / pre > < / div >
< / li >
< li >
< p > < strong > Modify your < a href = "../../setup/configuration#data-stream-configuration" > device data stream configuration< / a > < / strong > < / p >
< ol >
< li >
< p > Set < code > [PHONE_DATA_STREAMS][USE]< / code > to < code > aware_csv< / code > . < / p >
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< / li >
< li >
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< p > We will use the default value for < code > [PHONE_DATA_STREAMS][aware_csv][FOLDER]< / code > since we already stored the test calls CSV file there.< / p >
< / li >
< / ol >
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< / li >
< li >
< p > < strong > Select what < a href = "../../setup/configuration#sensor-and-features-to-process" > sensors and features< / a > you want to process.< / strong > < / p >
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< ol >
< li >
< p > Set < code > [PHONE_CALLS][CONTAINER]< / code > to < code > calls.csv< / code > in the < code > config.yaml< / code > file.< / p >
< / li >
< li >
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< p > Set < code > [PHONE_CALLS][PROVIDERS][RAPIDS][COMPUTE]< / code > to < code > True< / code > in the < code > config.yaml< / code > file.< / p >
< / li >
< / ol >
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< / li >
< / ol >
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< / details >
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< div class = "admonition example" >
< p class = "admonition-title" > Example of the < code > config.yaml< / code > sections after the changes outlined above< / p >
< p > This will be your < code > config.yaml< / code > after following the instructions above. Click on the numbered markers to know more.< / p >
< div class = "annotate highlight" > < pre > < span > < / span > < code > < span class = "nt" > PIDS< / span > < span class = "p" > :< / span > < span class = "p p-Indicator" > [< / span > < span class = "nv" > p01< / span > < span class = "p p-Indicator" > ]< / span > < span class = "c1" > # (1)< / span >
< span class = "nt" > TIMEZONE< / span > < span class = "p" > :< / span >
< span class = "nt" > TYPE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > SINGLE< / span > < span class = "c1" > # (2)< / span >
< span class = "nt" > SINGLE< / span > < span class = "p" > :< / span >
< span class = "nt" > TZCODE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > America/New_York< / span >
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< span class = "c1" > # ... other irrelevant sections< / span >
< span class = "nt" > TIME_SEGMENTS< / span > < span class = "p" > :< / span > < span class = "nl" > & time_segments< / span >
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< span class = "nt" > TYPE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > PERIODIC< / span > < span class = "c1" > # (3)< / span >
< span class = "nt" > FILE< / span > < span class = "p" > :< / span > < span class = "s" > " data/external/timesegments_periodic.csv" < / span > < span class = "c1" > # (4)< / span >
< span class = "nt" > INCLUDE_PAST_PERIODIC_SEGMENTS< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > FALSE< / span >
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< span class = "nt" > PHONE_DATA_STREAMS< / span > < span class = "p" > :< / span >
< span class = "nt" > USE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > aware_csv< / span > < span class = "c1" > # (5)< / span >
< span class = "nt" > aware_csv< / span > < span class = "p" > :< / span >
< span class = "nt" > FOLDER< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > data/external/aware_csv< / span > < span class = "c1" > # (6)< / span >
< span class = "c1" > # ... other irrelevant sections< / span >
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< span class = "c1" > ############## PHONE ###########################################################< / span >
< span class = "c1" > ################################################################################< / span >
< span class = "c1" > # ... other irrelevant sections< / span >
< span class = "c1" > # Communication call features config, TYPES and FEATURES keys need to match< / span >
< span class = "nt" > PHONE_CALLS< / span > < span class = "p" > :< / span >
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< span class = "nt" > CONTAINER< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > calls.csv< / span > < span class = "c1" > # (7) < / span >
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< span class = "nt" > PROVIDERS< / span > < span class = "p" > :< / span >
< span class = "nt" > RAPIDS< / span > < span class = "p" > :< / span >
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< span class = "nt" > COMPUTE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > True< / span > < span class = "c1" > # (8)< / span >
< span class = "nt" > CALL_TYPES< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > ...< / span >
< / code > < / pre > < / div >
< ol >
< li >
< p > We added < code > p01< / code > to PIDS after creating the participant file:
< div class = "highlight" > < pre > < span > < / span > < code > data/external/participant_files/p01.yaml
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< / code > < / pre > < / div > < / p >
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< p > With the following content:
< div class = "highlight" > < pre > < span > < / span > < code > < span class = "nt" > PHONE< / span > < span class = "p" > :< / span >
< span class = "nt" > DEVICE_IDS< / span > < span class = "p" > :< / span > < span class = "p p-Indicator" > [< / span > < span class = "nv" > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / span > < span class = "p p-Indicator" > ]< / span > < span class = "c1" > # the participant' s AWARE device id< / span >
< span class = "nt" > PLATFORMS< / span > < span class = "p" > :< / span > < span class = "p p-Indicator" > [< / span > < span class = "nv" > android< / span > < span class = "p p-Indicator" > ]< / span > < span class = "c1" > # or ios< / span >
< span class = "nt" > LABEL< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > MyTestP01< / span > < span class = "c1" > # any string< / span >
< span class = "nt" > START_DATE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > 2020-01-01< / span > < span class = "c1" > # this can also be empty< / span >
< span class = "nt" > END_DATE< / span > < span class = "p" > :< / span > < span class = "l l-Scalar l-Scalar-Plain" > 2021-01-01< / span > < span class = "c1" > # this can also be empty< / span >
< / code > < / pre > < / div > < / p >
< / li >
< li >
< p > We use the default < code > SINGLE< / code > time zone.< / p >
< / li >
< li >
< p > We use the default < code > PERIODIC< / code > time segment < code > [TYPE]< / code > < / p >
< / li >
< li >
< p > We created this time segments file with these lines:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > label,start_time,length,repeats_on,repeats_value
daily,00:00:00,23H 59M 59S,every_day,0
night,001:00:00,5H 59M 59S,every_day,0
< / code > < / pre > < / div >
< / li >
< li >
< p > We set < code > [USE]< / code > to < code > aware_device< / code > to tell RAPIDS to process sensor data collected with the AWARE Framework stored in CSV files.< / p >
< / li >
< li >
< p > We used the default < code > [FOLDER]< / code > for < code > awre_csv< / code > since we already stored our test < code > calls.csv< / code > file there< / p >
< / li >
< li >
< p > We changed < code > [CONTAINER]< / code > to < code > calls.csv< / code > to process our test call data.< / p >
< / li >
< li >
< p > We flipped < code > [COMPUTE]< / code > to < code > True< / code > to extract call behavioral features using the < code > RAPIDS< / code > feature provider.< / p >
< / li >
< / ol >
< / div >
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< / li >
< li >
< p > Run RAPIDS
< div class = "highlight" > < pre > < span > < / span > < code > ./rapids -j1
< / code > < / pre > < / div > < / p >
< / li >
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< li > The call features for daily and morning time segments will be in
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< div class = "highlight" > < pre > < span > < / span > < code > data/processed/features/all_participants/all_sensor_features.csv
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< / code > < / pre > < / div > < / li >
< / ol >
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<!-- Add custom comment system integration here -->
<!-- Utterances integration -->
< h2 id = "__comments" > Comments< / h2 >
< script type = "text/javascript" >
var rapids_utterances_theme = false
document.onreadystatechange = function () {
if (document.readyState == "interactive") {
// wait for utterances to load and send it's first message.
addEventListener('message', event => {
if (event.origin !== 'https://utteranc.es' || rapids_utterances_theme == true) {
return;
}
rapids_utterances_theme = true
if(document.body.getAttribute("data-md-color-scheme") == "default")
document.querySelector("iframe.utterances-frame").contentWindow.postMessage({ type: "set-theme", theme: "github-light" },"https://utteranc.es/")
else
document.querySelector("iframe.utterances-frame").contentWindow.postMessage({ type: "set-theme", theme: "photon-dark" },"https://utteranc.es/")
});
document.getElementById('__palette_1').onclick = function(){
document.querySelector("iframe.utterances-frame").contentWindow.postMessage({ type: "set-theme", theme: "github-light" },"https://utteranc.es/")
}
document.getElementById('__palette_2').onclick = function(){
document.querySelector("iframe.utterances-frame").contentWindow.postMessage({ type: "set-theme", theme: "photon-dark" },"https://utteranc.es/")
}
}
}
< / script >
< script src = "https://utteranc.es/client.js"
repo="carissalow/rapids"
issue-term="pathname"
label="docs comments"
theme="github-light"
crossorigin="anonymous"
async>
< / script >
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< / article >
< / div >
< / div >
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< / main >
< footer class = "md-footer" >
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< nav class = "md-footer__inner md-grid" aria-label = "Footer" >
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< a href = "../../setup/overview/" class = "md-footer__link md-footer__link--prev" rel = "prev" >
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< div class = "md-footer__button md-icon" >
< svg xmlns = "http://www.w3.org/2000/svg" viewBox = "0 0 24 24" > < path d = "M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12z" / > < / svg >
< / div >
< div class = "md-footer__title" >
< div class = "md-ellipsis" >
< span class = "md-footer__direction" >
Previous
< / span >
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Overview
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< / div >
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< / div >
< / a >
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< a href = "../../setup/installation/" class = "md-footer__link md-footer__link--next" rel = "next" >
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< div class = "md-footer__title" >
< div class = "md-ellipsis" >
< span class = "md-footer__direction" >
Next
< / span >
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Installation
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< / div >
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< / div >
< div class = "md-footer__button md-icon" >
< svg xmlns = "http://www.w3.org/2000/svg" viewBox = "0 0 24 24" > < path d = "M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11H4z" / > < / svg >
< / div >
< / a >
< / nav >
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< div class = "md-footer-meta md-typeset" >
< div class = "md-footer-meta__inner md-grid" >
< div class = "md-footer-copyright" >
< div class = "md-footer-copyright__highlight" >
Released under AGPL
< / div >
Made with
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< a href = "https://squidfunk.github.io/mkdocs-material/" target = "_blank" rel = "noopener" >
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Material for MkDocs Insiders
< / a >
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< / div >
< div class = "md-footer-social" >
< a href = "https://twitter.com/julio_ui" target = "_blank" rel = "noopener" title = "twitter.com" class = "md-footer-social__link" >
< svg xmlns = "http://www.w3.org/2000/svg" viewBox = "0 0 512 512" > < path d = "M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z" / > < / svg >
< / a >
< / div >
< / div >
< / div >
< / footer >
< / div >
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< div class = "md-dialog" data-md-component = "dialog" >
< div class = "md-dialog__inner md-typeset" > < / div >
< / div >
< script id = "__config" type = "application/json" > { "base" : "../.." , "features" : [ "navigation.sections" , "search.suggest" , "search.highlight" ] , "translations" : { "clipboard.copy" : "Copy to clipboard" , "clipboard.copied" : "Copied to clipboard" , "search.config.lang" : "en" , "search.config.pipeline" : "trimmer, stopWordFilter" , "search.config.separator" : "[\\s\\-]+" , "search.placeholder" : "Search" , "search.result.placeholder" : "Type to start searching" , "search.result.none" : "No matching documents" , "search.result.one" : "1 matching document" , "search.result.other" : "# matching documents" , "search.result.more.one" : "1 more on this page" , "search.result.more.other" : "# more on this page" , "search.result.term.missing" : "Missing" } , "search" : "../../assets/javascripts/workers/search.d10a1f1d.min.js" , "version" : { "provider" : "mike" } } < / script >
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< script src = "../../assets/javascripts/bundle.9aafa2c6.min.js" > < / script >
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< script src = "https://polyfill.io/v3/polyfill.min.js?features=es6" > < / script >
< script src = "https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js" > < / script >
< / body >
< / html >
