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<p class="MsoNormal">Interactive slider python. series()) so in self. Use the Shiny R package to add interactivity to Knitr engine documents. py. I have ipywidgets installed and json. import pandas as pd. If there is an IntSlider in ipywidgets that you have imported, presumably you need to pass that: return interact(f, x=IntSlider(min=0,max=5,step=1,value=0)) # no "widgets. This article briefly introduces ipywidgets and uses them to change the rolling day period in a chart for the rolling average of deaths from covid-19. plot(obj. catch_warnings(): warnings. The difference between st. See this issue in the vscode-python repository. image of the end result Apr 1, 2016 · 11. Sep 24, 2020 · I'm using python 3. 1, 0. l = plt. To create interactive visualization we will need a function that can interact with an input and the chart — for example, interact: it generates UI controls and creates a bridge between a function and the control. 8k 4 4 gold badges 31 31 silver badges 38 38 bronze badges. from functools import lru_cache. Using Interact. It allows selecting a value or a range of values between a specified minimum and maximum range. interact) automatically creates user interface (UI) controls for exploring code and data interactively. windowName = 'image'. val. Note: this page is part of the documentation for version 3 of Plotly. Code: import matplotlib. Qt. In the second half, technical details on how to use NetworkX, Plotly, and Dash are discussed. fig = plt. 7. figure import Figure. ) Dec 24, 2018 · I’m trying to use Plotly’s Python API to create a slider chart that controls a 3d surface plot. Jul 17, 2018 · How do I recreate the following interactive plot in Python using Plotly? My simple example draws a bar chart with one column x and another 1-x. value. 0001)) It works but the problem is that the display of slider value is rounded to 2 decimal. The function receives the following parameters: Name of the slider. 7 and matplotlib 3. In the first half, it covers the network visualization application features and a introduction of the tools I used for developing this application. set_ydata() to set the new value. import matplotlib as mpl. mpl_interactions' library provides helpful ways to interact with Matplotlib plots. 693943, -73. pn. TranslateX and so on. at your command prompt. IntSlider (min=-10,max=30,step=1,value=10)) I thought I scoured through the entirety of the docs -- apparently not. 16. ''' Present an interactive function explorer with slider widgets. draw_idle() The problem is, it seems unresponsive when embedded in a tkinter window, although when I show it with plt. Else, if the key ‘s’ is pressed, the image will Sep 23, 2015 · In the plot method of the Plotter class you are obtaining all the series of the plot in this way self. mpl-sliders are different from ipywidgets sliders in that they will only take a min and and max with an optional step, while for ipywidgets sliders you need to specify all values (at least until version 8). add_subplot(111) fig. options=options, index=index, description='Dates', orientation='horizontal', layout={'width': '500px'} This slider can easily be combined with the interact Sep 15, 2020 · from ipywidgets import interact, interactive. py, which is not the most recent version . axes([0. Discover more on using widgets to add interactivity to your applications in the how-to guides on interactivity. If the key ‘q’ is pressed on the keyboard, the window will be closed immediately. animation as animation. 2) The Output widget generated by the interactive call. IntSliderWidget(min=-5, max=5, step=1, value=0) Jan 19, 2018 · In a first cell, define your globals: Then, in a second one, define your method with the interact wrapper and the keyword argument to adjust as (start, stop, step): selem = disk(int(Median_Size)) with warnings. With its easy-to-use interface and flexible customization options, it allows users to explore and understand time-series data in a more intuitive and engaging way. rcParams['xtick. Follow edited Jul 14, 2016 at 20:22. def f(x): return x * x. I added a couple more imports and three lines at the end to achieve this. For the moment, I have tried the following : idx0 = 3. ax=axamp, label=”Amplitude”, valmin=0, valmax=10, valinit=init_amplitude, orientation=”vertical” # Update it to “horizontal” if you need a slider will update its value continuously as it is being dragged. R Shiny was released in 2012, and demand grew rapidly with the realization that this easy-to-use package could allow scientists and analysts alike to create more interactive models and dashboards. valstep: float or array-like, default: None. Creating presentations in Jupyter Notebook is a great alternative to manually updating slides in other presentation creation software. I was just wondering if i can use FloatRangeSlider in interactive mode to dynamically change the x axis input range. Syntax May 25, 2019 · Bokeh widgets and ipywidgets are different things, In your code above, widgets is evidently the bokeh. backend_tkagg import FigureCanvasTkAgg. on_changed(update) Min, Max, and Step. import scipy. amp_slider = Slider (. active_shape, t=(tx, ty, tz)) else: print "create a shape before adjusting sliders". For me though, the figures then always pop up in the background. import ipywidgets as widgets. I have succeded in adding a noninteractive graph but cannot find the issues when it becomes interactive. init_notebook_mode(connected = True) # Dummy data, to be replaced with your query result for the range of sliderVal. wi Feb 4, 2022 · I want to create an interactive map that shows the evolution of a variable (number of bikes) on different points of a city. valmin,slider. ax. ) Here's a working example (using random data): import matplotlib. Jan 6, 2023 · Try not to say much about those issues, for easily, so a different code here for you. Jul 13, 2020 · It’s that simple to create interactive graphs in Python! You can even vary more than one parameter by including more arguments in the graph’s function, a slider will be created for each one! This really comes in handy when trying to visualize multivariate equations in a 2-dimensional space. and the slider isn't showing up in Jupyter, it's not interactive as it's supposed to be. In a Jupyter notebook, I would like to make an interactive slider with two control points. pyplot as plt vector_1 = [ 3 , 4 ] vector_2 = [ 1 , 3 ] Nov 19, 2019 · This post is about a Python interactive network visualization application. Define the class as the interface between matplotlib and PySimpleGUI. If an array the slider will snap to the values in the array. There are three ways to add interactive components to Quarto documents: Create custom JavaScript visualizations using Observable JS. Then, go to “Layer Options” and “Content”. Mathematica code: Manipulate[BarChart[{x, 1 - x}, PlotRange -> {0, 1}], {{x, 0. It provides a list of widgets quite common in web apps and dashboards like dropdown, checkbox, radio buttons, buttons, and many more. The graph is also able to be manipulated through zoom, etc. pos = s_time. I would like to send these simulations to my colleagues, but they are busy people and running a Python script is an insurmountable hurdle for them. The RangeSlider widget allows selecting a floating-point range using a slider with two handles. 0dev bundled with WinPython 3. 3, "Level"}, 0, 1, Appearance -> "Open"}] Jan 3, 2021 · As can be inferred from the name, the . This will open up our blank app, which we are going to make a lot more useful in the coming steps. ) edited Apr 23, 2020 at 16:56. While looking for a way to make animated interactive plot using matplotlib, I encountered this piece of code on Stack overflow documentation: import numpy as np. pyplot as pyl. 17 min read · Apr 11, 2024 Lists Mar 13, 2014 · Does this example work for you (see the top-rated answer). なおグラフの Jan 3, 2021 · This article describes how to generate interactive plots by using the . Alternatively, learn how to set up callbacks and (JS-)links between parameters or how to use them as part of declarative UIs with Param. pow(x[i], f) source. First, we have to install ipywidgets using pip. Here is the script that i've tried to. 25) min0 = 0. Jan 18, 2018 · I am trying to set a default value for a slider using interact in a jupyter notebook, based on this documentation. This allows the user to integrate any plot with IPython widgets to create a complex and feature rich GUI from just a few simple lines of Python code. import numpy as np. Jul 23, 2019 · You can filter the data by looping over the original data (dictionary made from the original dataframe) and checking if the threshold value of a circle is smaller or equal to the slider threshold. widgets. TranslateZ, q=True, v=True) cmds. ) above plot is generated using following code. The After version of the slider reads “The Future”. interact(f, x=(0,10,1)); The resulting interactive slider is nice but pretty small in terms of horizontal length. This doesn't always play super nicely with the set_data methods you are using. I do not know how to pass slider information to "div" and "script" elements. data. 3. Save it as 'script. imshow(Ai) plt. ipywidgets are interactive HTML elements that can be used in Jupyter Notebooks to interact with outputs such as tables and charts. figure() ax = fig. Remove the 'step-#' annotating the slider, and replace it with something else. direction'] = 'out'. widgets import Slider. Sep 15, 2020 · Both ipython widgets and interactive objects have observe() methods. subplots_adjust(left=0. The code sample below creates a range slider allowing the user to select a date range between April 24 and May 24. py. 9992 def sl(r=0. It'll let you code in pure python and will generate UI with interactive widgets for you using javascript underneath. 0, valinit=a0) samp. Jun 16, 2022 · So you could create a slider with the integers value of your for loop and when you update the slider you call the update function and inside it you have the code to plot the data using that integer value that came from the slider. py’. widgets such as the Slider and the RadioButtons. a_slider = widgets. Feb 8, 2012 · Here's the full code: import numpy as np. backends. var index = []; var x = []; var y = []; var thresh = []; for (var i = 0; i < Object 8. % matplotlib widget import numpy as np from math import acos , pi import matplotlib. active_shape , self. For some practise before my actual task I tried to make it relativelly simple, but my sliders does not work. Sliders can be used in Plotly to change the data displayed or style of a plot. . Simply define your function that you're plotting with some arbitrary parameter, make a slider and stuff it into your plot, and call fig. min, max, and step are the first three positional arguments in the example above. className (string; optional): Slider label. Create interactive slides with Python in 8 Jupyter Notebook cells. Currently the value of # is also out of sync with the title. graph_objs as go. Map(location=[40. args=dict(source=source, slider=slider, data=data), code=""". 0. ui=ShapeUI() the basic trick is that all the functions use self so they have access to the variables self. Apr 10, 2011 · It should only be used for interactive use or quick one-use scripts. 15, 0. class Canvas(FigureCanvasTkAgg): Nov 14, 2017 · check this code. slider will update its value continuously as it is being dragged. Apr 15, 2022 · Welcome to our article about creating an interactive map with Python, Dash, dash-leaflet, plotly, CSS, HTML, and the Strava API. When you run the above source code, there will display two slide bars under the above code, and you can slide each bar to see the python function output on the web page. widgets package from the matplotlib library. May 15, 2017 · I need to make some plots with multiple parameters, and I choosed to make it more interactive with matplotlib sliders. t,obj. My code below (when run in an IPython notebook) successfully shows the plot of the first color channel. Below are 15 charts created by Plotly users in R and Python – each incorporate buttons, dropdowns, and sliders to facilitate data exploration or convey a data narrative. In 2023, Shiny for Python came out of alpha, which provides a similar, reactive framework for the Python language. Play ()とipywidgets. I will keep the accepted James answer because it answered the original question. In plotly, the range slider is a custom range-type input control. I have tried changing everything to using matplotlib Figure instead of pyplot with no luck. Learn how to create sliding widgets to display math functions, build interactive graphs and us Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand Apr 18, 2016 · Select from the menu Tools > Preferences, then IPython console in the list of categories on the left, then the tab Graphics at the top, and change the Graphics backend from Inline to e. from matplotlib. May 20, 2019 · I am trying to place an interactive matplotlib graph (one that has Sliders, resetbutton, and Radiobuttons) into a tkinter Canvas. import panel as pn. import plotly. Then you can call l. contour import QuadContourSet. Use the ``bokeh serve`` command to run the example by executing: bokeh serve donuts. Could you please explain a bit further how to pass a dictionary to let a slider have not evenly spaced values? for example, like 0. Aug 7, 2019 · 例えば下のようにipywidgets. 1 The Interactive Slider Disappear. (See the results of the print statements. 3) A VBox that wraps the two together. In this link, the example chart controls a line plot. mpl. 2. 25, 0. 1, 10. verticalHeight (number; default 400): The height, in px, of the slider if it is vertical. 3. A slider can be vertically or horizontally aligned. Since from is a keyword in Python, Tkinter uses from Aug 13, 2015 · I'm interested in using Bokeh to plot a single image channel in an IPython notebook. I'm trying to make a scatter plot in Bokeh based on the simple example code posted here. The minimum value of the slider. Slider module to update the data contained in the figure. set_data with your function evaluated at the new slider value everytime the slider changes. , via mouse clicks or drags). We will call it “slider”; Sep 14, 2018 · I am following this Lynda tutorial - Python Statistics Essential Training - Chapter 3, The power of visualization. 65, 0. OpenCV can directly read keyboard inputs while executing its program and make decisions according to the input made. className (string; optional): Feb 2, 2021 · using interactive with matplotlib. For example if you are asked to change a value from 1 to 10 to show your agreement about an asked question. I would like to do something like this : https:// Differences from ipywidgets sliders. 9992): global ar ar = r interact(sl, r=(0. First, I need to be able to add slider to the top of my Bokeh plots. TWOPI = 2*np. widgets import Slider #define the plot objects #TODO #define the update method def update(val): #do your update here pass #create the slider samp = Slider(axamp, 'Amp', 0. widgets package allows creating different types of interactive buttons, which can be used for modifying what is displayed in a matplotlib graph. This example creates two different sliders and sets their max, min, stepsize and initial value and uses them in the interactive function. min sets a minimum value available for selection on the slider, max sets a maximum, and step defines the points for the slider between the min and the max. One unfortunate consequence of interactive is that it assumes the output will be fully regenerated every time the slider value changes. Is there a way that I can replace the line plot with a surface plot si&hellip; Mar 31, 2017 · from ipywidgets import interact, interactive, fixed, interact_manual import ipywidgets as widgets r = 0. ) With the following example, I can confirm the actions of the observe() method on a slider widget but not on the interactive (ie) object. Note that for the latter case, the drag_value property could be used instead. In the first section, we will create a static map and then later build on our code to introduce interactivity. valmin: float. The following code produces a working demo for a line plot: data = source. # 1. Sep 23, 2019 · We start with creating a base map, which will instantiate a map object for a given location: import folium. 5 , 0. May 10, 2018 · Here's an example with some dummy data: import ipywidgets as widgets. show() Except that rather than having 5 figures like in the example above, I would like to have a slider to switch between indexes for the first coordinate of A. IntSlider ()を同期させてHBoxで横に並べると動画再生の進行バーのようなものが作れます。. 1. import pylab. gauteh. 25, bottom=0. There are two types of selections: selection_interval() and selection_point(). Works in any interactive backend and even uses ipywidgets when in a Jupyter notebook. slider and st. 1 on Pycharm community 2020. l you have a list of objects and not the object itself. Mar 13, 2021 · Python入門に入れるべきか否か。マニュアルには追加したが。 以前，matplotlib でスライダやボタンを作る方法を調べたが，さっぱりわからなかった。matplotlib &nbsp;のページにあるんだけど，書いてあることの意味がわからなかったのだ。仕様書なので，書いてあるのは「作り方」ではない。 しかし Apr 13, 2017 · Here is the code in case it helps. The main conceptual differences are that now the data object now is going to be a list of dictionaries, and also that I need to create a ‘steps’, and a ‘slider’ object that will go as an argument for the layout command. I run the "end" file, and it also has that issue. cv2. xform(self. show () (meaning the code after this, is commented) works correctly. 5 The slider initial position. from ipywidgets import interact, interactive, fixed, interact_manual import ipywidgets as widgets. Sliders to control matplotlib and other interactive goodies. Replace what it says in the text editor. Quoting the example for setting up min/max: interact (f, x=widgets. At the end, we attatch the sliders dictionary to the figure via: figure['layout']['sliders'] = [sliders_dict] and then we plot! Enjoy the Gapminder example! Jun 30, 2022 · Ipywidgets. valinit: float, default: 0. Oct 25, 2018 · Then add a layout that tells the box to wrap at line ends. If you've already got [an older version] of ipywidgets installed in Jupyter and you're seeing this problem (you'll probably be seeing javascript errors in the browser console) then you need to run the install command to update the relevant files e. Dec 13, 2020 · 1. In the below example, we read an image and display it in a window. Mar 28, 2019 · plt. これとinteractive_output ()を使ってグラフ描画を行えば自動でパラメータを変えながら描画するグラフを作れます。. axis([pos, pos+10, 20, 40]) fig. subplots() 3. While the values for min, max, and step work well, from ipywidgets import interact def f(x): return x interact(f, x=(5,20,5)) Apr 12, 2019 · The thing is the slider is movable but it does not update the graph. A final value chosen can be used for any kind of manipulation. Selection parameters define data queries that are driven by interactive manipulation of the chart by the user (e. Here is the code: import matplotlib. Sep 1, 2016 · This slider can be used for all sorts of data, including dates. (Original answer: It is indeed a known limitation, ipywidgets are not supported as of today. I want to draw a figure and let the user decide if he likes that figure, by giving some console input. stats as ss. Then navigate to the URL. Note: as py import plotly from ipywidgets import interactive, HBox, VBox, widgets This way you are much more flexible and can tailor those widgets to your needs. In order to reflect this change in the slider axes you need to set the limits of the axes, slider. valmax: float. Aug 20, 2018 · it says I can set the beginning and the end values of the slider, and the step size that determines the number of slider values between them. widgets import Slider, Button, RadioButtons. simplefilter("ignore") # Had to change keyword argument with my version of skimage. #Define display parameters. Full narrative documentation and example can be found on ReadtheDocs. f = cb_obj. 03]) slidx = Slider(axidx, 'index', 0, 9 Sep 25, 2015 · I have made a number of Python scripts that allow the user to explore an equation using matplotlib. Through this bridge, whenever the control input is changed, the Tutorial on how to create interactive widgets in Google Colab. FloatSlider(min=1,max=10,value=1,description="Amp") Oct 1, 2018 · Support for ipywidgets has been released on 20 April 2020 (see Changelog ). [1]: from __future__ import print_function from ipywidgets import interact, interactive, fixed, interact_manual import Aug 2, 2017 · In bqplot, every single attribute of the plot is an interactive widget. As can be inferred from the name, the . Jun 7, 2022 · Here we create a function that returns the product of a number, and we call Panel to interact on the function. Scale(container,from_,to) Code language: Python (python) In this syntax, the container specifies the parent component of the slider. Nov 3, 2015 · Regarding the details of what I want to do. The maximum value of the slider. This also allows you to render a range slider by passing a two-element tuple or list as the value. Panel’s interact function is easy to use and works well Adding interactivity to an article is a great way to help readers explore the concepts and data you are presenting more deeply. ion() alone Dec 5, 2017 · The answer to your question is further down in the docs. intSliderGrp(self. Sep 20, 2017 · 10. Sep 25, 2018 · 2. Feb 9, 2022 · The Before version of the slider reads “The Past”. So you are likely better off manually generating and connecting the sliders. like normal with plotly. ax=axfreq, Feb 5, 2019 · In this step by step guide, we will recreate an interactive global choropleth map on Share of Adults who are obese (1975–2016) using Python libraries and package — Pandas, Geopandas and Bokeh. 03]) freq_slider = Slider(. See our Version 4 Migration Guide for information about how to upgrade. amp = widgets. Aug 16, 2023 · Streamlit Datetime Slider: A Tool for Interactive Data Visualization In conclusion, the Streamlit datetime slider is a powerful tool for creating interactive data visualizations. They propose something similar to what you have done but here are the differences: from pylab import * from matplotlib. 1. Feb 6, 2019 · Thus, now we make the necessary modifications to add a slider to go over the different years in the data set. Thanks! Aug 9, 2021 · Open up Python environment terminal (easiest to do this in VS code by opening the command palette and selecting ‘create new integrated terminal), make sure you are in the new folder and run ‘streamlit run fpl-app. imshow(A[idx0]) axidx = plt. Second, when I added the slider to the top of my Bokeh plot, I need to have an access to the value that User assign using the slider in my controller. interact(f, x= 10) Now, we have an interactive control, where we can drag a slider; the product changes as we change the x values. 4. l = plt. x, y = data['x'], data['y'] for i in range(len(x)): y[i] = window. . Oct 1, 2020 · Creating a range slider and selector. Scrub the slider to change the pie shape in the donut plot. Question & Answer. May 17, 2021 · The only difference between horizontal and vertical Sliders being the presence of an additional parameter ‘orientation’ which is by default set to ‘horizontal’. To change what the text says in each, find the layers in the timeline. Detailed examples of Sliders including changing color, size, log axes, and more in Python. I create a jupyter notebook, and there is a table and a slider in the notebook. Since most of the timeseries plots have a date range in the X-axis, a slider allows you to dynamically change the period and view only a section of the plot to understand the trends for that particular period. Now we can segment the data using the controls (widgets) without writing code. py' and run it with bokeh serve --show script. g. To create a slider, you’ll use the ttk. It's easy to do with a single control see this example: But here's an example of what I really want, it is called an interval slider (Mathematica does this nicely): Is this possible to do with ipywidgets or some perhaps other python package? Aug 8, 2019 · In the tutorial he shows how to use interact to interactively update a sine function graph. Select “Before Text”. I tried the following many approaches, that I've found online: plt. set_xlim(slider. valmax) A complete example, where typing in any digit changes the valmin of the slider to that value. So in this figure # should be displayed as 300. I usually use the low-mid level api of bokeh to make my plots. How to add slider controls to your plots in Python with Plotly. Here is the code, which is inspired from here. Jan 27, 2019 · Interactive controls using @interact. It is the easiest way to get started using IPython’s widgets. 1) controls - an HBox of your input widgets. 4. Thanks very much in We add a dictionary of data to this list and at the end of each loop, we ensure to add the steps dictionary to the steps list. fig, ax = plt. With the @interact decorator, the IPywidgets library automatically gives us a text box and a slider for choosing a column and number! It looks at the inputs to our function and creates interactive controls based on the types. subplots() Jul 29, 2022 · Python has a library called ipywidgets which can help you with that. trigger('change') Apr 18, 2021 · Create interactive chart with matplotlib and ipywidgets. If a float, the slider will snap to multiples of valstep. import matplotlib. When the range of x is large, such as 0 - 1000, it becomes exceedingly difficult taking small steps using that slider. A consequence of this is that the various interactive_* methods will only use the first two values Sep 2, 2021 · Another interactive component that comes really handy while working with timeseries plots is a date range slider or a slider in general. (I use Spyder 3. imshow(windowName, img) To create a slider, we need to call the createTrackbar function from the cv2 module (note that OpenCV refers to this widget as trackbar). 6, 1. Here we will create a simple chart and then add an selection interval to it. 00. def f(x): return x. select_slider is that slider only accepts numerical or date/time data and takes a range as input, while select_slider accepts any datatype and takes an iterable set of options. This leads me to believe there is something wrong with the way I've used interactive . Scale() constructor as follows: ttk. We begin by enabling some our the matplotlib interactive features that we’ll need later, importing what we need at this point, and declaring our two vectors as simple Python lists. : jupyter nbextension install --user --py widgetsnbextension. 2, 0. Math. " Apr 17, 2021 · Keyboard Interactions. offline as py. Slider Widget in Python/v3 Interacting with Plotly FigureWidgets using Sliders . In particular, this article will focus on the creation of a Slider button that will be then used for changing the type of Spline curve interpolating the original Oct 30, 2016 · I have created this plot in pyplot which has a slider to view a certain range of the data. pi. It may not be the most simple way of doing it. Slider: axfreq = plt. Why not by using plotly. widgets as widgets. 999, 1, 0. Jun 24, 2015 · Following matplotlib slider for parameters, it's possible to use the matplotlib. import PySimpleGUI as sg. update old histogram is not been cleared, as shown in the image below. May 31, 2021 · Remove 'step-#' in 'Sample size n = step-#', and replace with 'Sample size n = #', where # is a number. And the range selector is a tool for selecting ranges to display within the chart. canvas. It provides buttons to select pre-configured ranges in the chart. The from_ and to options specify the minimum and maximum values of the slider. As a result, the display always show 1. pyplot as plt. mlab as mlab. Feb 8, 2017 · It’s easy to add clean, stylish, and flexible dropdowns, buttons, and sliders to Plotly charts. May 28, 2020 · I'm trying to make the interactive histogram but during. That means I need matplotlib to work in the interactive mode. ax. GIF from Mathematica: Slider allows for a varying x between 0 and 1. The interact function ( ipywidgets. widgets module (which does not have an IntSlider as the exception states). answered Jan 21, 2019 at 3:51. map = folium. Jul 14, 2016 · python; plot; slider; interactive; scatter; Share. vertical (boolean; optional): If True, the slider will be vertical. 985880], default_zoom_start=15) location Feb 5, 2021 · mpl_interactions. 0 as I previously mentioned. I'd like to provide an interactive slider that allows the user of the IPython notebook to click through each index of the 3rd dimension, in this example, color. Do the same for “After Text”: Feb 25, 2021 · The slider has a pair of slider buttons that can be moved and along with the movement the values keeps on changing. May 1, 2018 · tz = cmds. Your code is almost right, but you should change l = plot(f(S)) to l, = plot(f(S)) because plot () returns a list. 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