Reservoir | Code for Reservoir | Machine Learning library

I need to remove the right icons that are the up and down arrows from a Material UI TextField that I modified from the Material UI documentations (https://material-ui.com/components/autocomplete/#autocomplete) Highlights section.

I tried some solutions from stack overflow like (Remove the arrow and cross that appears for TextField type=“time” material-ui React) and (Remove the arrow and cross that appears for TextField type=“time” material-ui React) but they didn't work and, I ended up with the following code:

App.js:

I need to modify the Autocomplete Highlight provided as an example to fit my needs. (https://material-ui.com/components/autocomplete/#autocomplete)

The Highlight example provided has borders so I used the solution from this link (how to remove border in textfield fieldset in material ui) to modify my TextField and remove it's border and it works except that when I type in the search input I don't get the autocomplete suggestions.

I also replaced the Icon, and ended up with the following code:

I am writing a program which needs to iterate through a number of items, performing an HTTP GET request on each item in turn. The HTTP GET request is rate-limited by the third-party API to a maximum of 5 requests per minute. I am trying to use Bottleneck to limit my requests out to this API, to little success.

A minimum example of my problem is as follows:

Here don’t understand why if you only select MyApp it does not allow the user to select the directory. For each of the programs, the MUI_PAGE_DIRECTORY macro is where it indicates that the user should select the directory, which the SelectFilesMyApp clearly has, so I am not sure why yet if the user only selects that program it doesn’t allow them to pick a custom directory. If they select all the programs, then the user can select a custom director for each of the MyPartnerApp Plugin, MyApp, and LicenseManager programs.

Here is the full script, which is partly based on https://nsis.sourceforge.io/Two_installations_in_one_installer:

[![enter image description here][1]][1]I want to convert the existing JSON in the column:

I'm currently trying to make two particles in a gaseous state collide, but I'm not too sure how to write a code that will make this happen, I have a rough draft of what I could do but I don't really know how I could properly implent it (lines 43-54 i.e the code after the comment #collision of i with another particle j) after the collision occurs I wanted them to go in the opposite direction with different speedssince I will be computing the kinetic energy depending on the mass of the particles. The goal of the project is to basically show the conservation of kinetic energy of multiple particles of differnet parameters(velocity,mass,direction) moving in gaz. Here's my current code, any help would be greatly appreciated!!:

I'm trying to create a model in OpenModelica which contains several other components (pipes, reservoirs). Currently I'm modifying a pipe in the Modelica.Fluid-library using a staggered grid, and need to determine the smallest step size dx in the entire model.

Is it possible to do the following?

1. Calculate dx_1 in pipe 1 and dx_2 in pipe 2.
2. Send dx_1 and dx_2 to an array in a global model (similar to Modelica.Fluid.System).
3. Determine the smallest dx = min(dx_1, dx_2) and send back to both pipe 1 and pipe 2.

I have calculated both dx_1 in pipe 1 and dx_2 in pipe 2, and created an array in a data storage model similar to Fluid.System. I am, however, struggling with sending the step sizes to the data storage model, and sending them back again after determining the smallest dx.

Is this even possible? How would one go about to do so?

I'm trying to use gensim summarize() to simplify paragraphs in job descriptions. I webscraped a bunch of job descriptions using the selenium package and stored them in a list.

I found a procedure in R that I want to iterate for different values.

The original procedure looks like this (runs completely in base R):