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Carlota Sproul

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Aug 3, 2024, 5:04:30 PM8/3/24
to tiblanoca

@nkast Thanks for your build! The pipeline tool launched successfully. However, there was an error when I tried to build an effect file, which can be built successfully by an older version of the pipeline tool:

@nkast Thanks a lot man! Really appreciate your help! This time the effect file was built successfully without any error. However, when I replaced the effect file and ran the project, the same error still showed up:

Rather than a Text Input tool you probably want to use an Input Data tool with a file loaded in there as a placeholder. That way whatever file they pick will read the actual data in and then write it out to your specified output. Otherwise you are just updating a single cell of a text input tool. If your objective is to get all of the rows into a single cell you could follow an Input Data tool with a summarize tool that concatenates the column with a \n delimiter so that the values are in the same cell but separated by new lines.

As @BrandonB said and based on your previous question. You need to use input tool in the beginning for the file browse to work. By default, each company ID will be in separate rows If you need all company ID's in a single cell you need to summarize tool and concat them based on required delimiters.

I wrote some javascript code to follow a .narinfo URL field, compiled xz-embedded for web assembly, and wrote some more code to parse a .nar file. With all that, you can explore the contents of .nar files from a binary cache (assuming suitable CORS) from inside a browser.

edit: this project is now deployed on GitHub Pages: -cache-view/ and the source is here: I originally posted this project url, which is where I was developing it on Glitch. I still use this workspace to develop this...

I would say that you got a response that should never happen, and likely something else has parsed it. The assistant content should only be a string, or fail validation, and be impossible for the AI to output other objects, except by special invocation of sending to a tool.

This is showing some sort of parse error for what came out of the AI model. The API should never return to us a dictionary as assistant message, regardless of whatever the AI writes. That role:assistant appearing again could mean that it is OpenAI doing it - although that would result in more widespread reports of failure.

However, one would want to find out the exact bytes received from the API https request: what exactly was created and sent to the developer; not by any kind of object loading that happens after. Log that in concert with the further parse you do.

EPA created the Recycled Content (ReCon) Tool to help companies and individuals estimate embodied carbon, the climate footprint across the full lifecycle of purchasing and/or manufacturing materials with varying degrees of post-consumer recycled content. Estimates provided by the ReCon Tool are intended to support voluntary reporting initiatives, as well as EPA's Comprehensive Procurement Guidelines (CPG) Program and other Environmentally Preferable Purchasing activities.

ReCon and the Waste Reduction Model (WARM) were developed for purchasers and waste managers, respectively. ReCon calculates the benefits of alternative recycled content purchasing decisions. WARM, on the other hand, calculates the benefits of alternative end-of-life waste management decisions. Both tools calculate the benefits of an alternative scenario versus a baseline (business-as-usual) scenario. The ReCon Tool has been updated with data from WARM, version 15, and is available both as a Microsoft Excel spreadsheet and as a web-based calculator.

Environmental impacts in ReCon and WARM are calculated using a life-cycle perspective. This perspective reflects upstream and downstream impacts from the point of use. As such, the factors provided in these tools provide an account of the net benefit of these actions to the environment. This life-cycle approach is not appropriate for use in inventories because the method of calculating the impacts are not always consistent with inventory protocols.

A Microsoft Excel version of ReCon is available and can be installed by saving this file ReCon Tool Version 5 Updated (XLSX) (xlsx) to your computer. The saved program is a Microsoft Excel spreadsheet application. To run the ReCon tool, open the Excel file. You may then begin using the ReCon application.

The installers need to know what icon you want for your app so that they can create
the windows .exe with the icon embedded inside it. Also the .app needs
to have the icon is a specific format reference from Apple mandated metadata files.

I package PyQt6 apps for WIndows and macOS myself and I use different tools for each OS.
I use PyInstaller on macOS (was use py2app, but its not working anymore for my
apps) the turn what it creates into a .dmg for distibution.

I will keep the purple one; it goes with my purple tool chest. So the orange one goes to our winner. What winner? You must have heard? Well, we are gathering tools to fill this tool chest. One Chris Schwarz made when he was here with us at Rowden in the summer. And we are giving it to a young maker under 25. Application details are here.

These are very different saws apart from the price. One is a stiffy one a floppy. Both are taper ground, meaning the plate of the saw is ground thinner near the top of the saw to give clearance. Both claim to be hand sharpened and indeed both cut very well. The differences come with the handle, the plate and the toothline.

You can use the Content search eDiscovery tool in the Microsoft Purview compliance portal to search for in-place content such as email, documents, and instant messaging conversations in your organization. Use this tool to search for content in these cloud-based Microsoft 365 data sources:

After you run a search, the number of content locations and an estimated number of search results are displayed on the search flyout page. You can quickly view statistics, such as the content locations that have the most items that match the search query. After you run a search, you can preview the results or export them to a local computer.

If you're not an E5 customer, use the 90-day Microsoft Purview solutions trial to explore how additional Purview capabilities can help your organization manage data security and compliance needs. Start now at the Microsoft Purview compliance portal trials hub. Learn details about signing up and trial terms.

Exchange mailboxes: Set the toggle to On. The option to search all Exchange mailboxes is automatically selected. If needed, select Choose users, groups, or teams to specify the mailboxes to search. Use the search box to find user mailboxes and distribution groups. You can also search the mailbox associated with a Microsoft Team (for channel messages), Microsoft 365 Group, and Viva Engage Group. All Microsoft Copilot for Microsoft 365 activity data (user prompts and Copilot responses) generated in supported Microsoft 365 apps and services is stored in custodian mailboxes. For more information about the application data stored in mailboxes, see Content stored in mailboxes for eDiscovery.

SharePoint sites: Set the toggle to On. The option to search all SharePoint sites is automatically selected. Select Choose sites to specify SharePoint sites and OneDrive sites to search. Enter the URL for each site that you want to search. You can also add the URL for the SharePoint site for a Microsoft Team, Microsoft 365 Group, or Viva Engage Group.

Exchange public folders: Set the toggle to On. The option to search all Exchange public folders is automatically selected to search all public folders in your Exchange Online organization. You can't choose specific public folders to search. Leave the toggle switch off if you don't want search all public folders.

Keep this checkbox selected to search for Teams content for on-premises users. For example, if you search all Exchange mailboxes in the organization and this checkbox is selected, the cloud-based storage used to store Teams chat data for on-premises users will be included in the scope of the search. For more information, see Search for Teams chat data for on-premises users.

Specify keywords, message properties such as sent and received dates, or document properties such as file names or the date that a document was last changed. You can use more complex queries that use a Boolean operator, such as AND, OR, NOT, and NEAR. If you leave the keyword box empty, all content located in the specified content locations is included in the search results. For more information, see Keyword queries and search conditions for eDiscovery.

Alternatively, you can select the Show keyword list checkbox and the enter a keyword in each row. If you do this, the keywords on each row are connected by a logical operator (c:s) that is similar in functionality to the OR operator in the search query that's created.

Why use the keyword list? You can get statistics that show how many items match each keyword. This can help you quickly identify which keywords are the most (and least) effective. You can also use a keyword phrase (surrounded by parentheses) in a row. For more information about the keyword list and search statistics, see Get keyword statistics for searches.

You can add search conditions to narrow a search and return a more refined set of results. Each condition adds a clause to the search query that is created and run when you start the search. A condition is logically connected to the keyword query (specified in the keyword box) by a logical operator (c:c) that is similar in functionality to the AND operator. That means that items have to satisfy both the keyword query and one or more conditions to be included in the results. This is how conditions help to narrow your results. For a list and description of conditions that you can use in a search query, see Search conditions.

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