Black-capped chickadee #873
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Signed-off-by: AsierCidon <[email protected]>
Signed-off-by: AsierCidon <[email protected]>
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Can you fix the linting issue please? |
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Please fix the created_by, and the linting issues located here: https://github.com/instructlab/taxonomy/pull/873/files
Signed-off-by: AsierCidon <[email protected]>
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We got overwhelmed with requests from Summit, this is to give the bot the way to stale out PRs that haven't been touched in 2 weeks. Signed-off-by: JJ Asghar <[email protected]>
Since the stale bot is configured, we also need to configure for issues. When an issue is marked stale, we want a comment added to alert those following the issue. We also want to configure the days rather than use the default. Finally, we exempt PRs labeled triage-approved from being marked stale to allow the necessary time for such PRs to go through the backend process. Signed-off-by: BJ Hargrave <[email protected]>
Adding workflow to trigger CoC analysis, post `Lint` workflow is successful. CoC analysis validates the contribution yml files against the following areas: - Privacy (Personal Identifiable Information) - HAP (Hate, Abuse, Profanity) - Inappropriate Content (Adult, Illegal, Gambling) - Regulated Industries (Medical, Financial) Signed-off-by: Nitin Ramchandani <[email protected]>
Set some defaults and use github.events context instead of bash commands. Signed-off-by: BJ Hargrave <[email protected]>
This will allow us to see which PR a specific workflow run was for. Signed-off-by: BJ Hargrave <[email protected]>
We also only run the workflow if there is a PR associated. Signed-off-by: BJ Hargrave <[email protected]>
…uide (instructlab#1138) **Description:** Adds more descriptions on markdowns for knowledge contributions Signed-off-by: Kelly Brown <[email protected]>
…tructlab#1143) Bumps [tj-actions/changed-files](https://github.com/tj-actions/changed-files) from 44.5.1 to 44.5.2. Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
…structlab#1139) Bumps [step-security/harden-runner](https://github.com/step-security/harden-runner) from 2.7.1 to 2.8.0. Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
We also update the workflow to enable dependabot to manage the version. Signed-off-by: BJ Hargrave <[email protected]>
Fixes instructlab#1157 Signed-off-by: BJ Hargrave <[email protected]>
) Reopening : **instructlab#428 **Describe the contribution to the taxonomy** - This PR adds skill to solve logical and inference riddles **Input given at the prompt & Response that was received** Attempted two riddles and also tried to question the model to fix the output Example 1: ``` >>> can you solve this riddle ? "Two turkeys in front of the turkey, two turkeys behind the turkey, tell me how many total turkeys?" ╭──────────────────────────────────────────────────────── merlinite-7b-Q4_K_M ────────────────────────────────────────────────────────╮ │ Certainly! This is an interesting riddle. The answer to "how many total turkeys" would be 10. Let me explain: │ │ │ │ The riddle states that there are two turkeys in front of the turkey and two turkeys behind the turkey. This implies that we have 1 │ │ turkey (the one in the middle) with 2 turkeys ahead and 2 more behind it. So, if we add the middle turkey to the ones in front and │ │ behind, we get a total of 10 turkeys. │ │ │ │ Here's a step-by-step breakdown: │ │ - There is 1 turkey in the middle (the one facing away from us in the initial description). │ │ - There are 2 turkeys in front of the middle turkey (the ones facing us in the initial description). │ │ - There are 2 turkeys behind the middle turkey (the ones facing away from us in the initial description). │ │ - Therefore, when we add the middle turkey to the ones in front and behind it, we get 1 (middle turkey) + 2 (front) + 2 (back) = 10 │ │ turkeys in total. │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 9.359 seconds ─╯ >>> I think you got the basic math wrong, 1 +2 +2 equals to 5 and not 10. [S][default] ╭──────────────────────────────────────────────────────── merlinite-7b-Q4_K_M ────────────────────────────────────────────────────────╮ │ Ah, I see where the confusion might have arisen. Thank you for pointing it out! You are correct that 1 (middle turkey) + 2 (front) │ │ + 2 (back) should equal 5, not 10. The initial response included an error in the explanation. I apologize for any confusion caused. │ │ The correct answer to the riddle should be 5 turkeys in total, given the conditions provided. │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 3.479 seconds ─╯ >>> But the answer is still not correct, it's not necessary that this riddle assumes one turkey is in the middle. [S][default] ╭──────────────────────────────────────────────────────── merlinite-7b-Q4_K_M ────────────────────────────────────────────────────────╮ │ You're right; the initial riddle description did not explicitly specify the positioning of the turkeys. Let's reconsider the riddle │ │ without assuming a middle turkey. Instead, let's assume there are three groups of turkeys: one group with 2 turkeys in front, │ │ another group with 2 turkeys behind, and a single turkey that is neither in front nor behind. In this case: │ │ - There are 2 turkeys in front of some unspecified turkey (let's call it A). │ │ - There are 2 turkeys behind some unspecified turkey (let's call it B). │ │ - There is 1 turkey (turkey C) that is not in front or behind any of the other turkeys. │ │ - Therefore, when we add all the turkeys together, we get 2 (front of A) + 2 (behind B) + 1 (C) = 5 turkeys in total. │ │ │ │ I apologize for any confusion caused earlier, and I appreciate your persistence in ensuring the correct answer is provided. │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 9.162 seconds ─╯ ``` It got the basic math wrong in the first response, although after hinting the model about wrong math, it does corrected it, but It was not able to solve the riddle. Example 2: ``` >>> Tom's mother has 3 sons. The names of the two sons are dick and hardy, what's the name of the third son? [S][default] ╭──────────────────────────────────────────────────────── merlinite-7b-Q4_K_M ────────────────────────────────────────────────────────╮ │ Interesting question! However, based on the information provided, it is impossible to determine the name of Tom's third son, Dick. │ │ The names you provided, Dick and Hardy, do not match the typical naming patterns for sons, which often involve some form of │ │ repetition or variation of the father's name. Since there is no concrete information about the third son's name, I cannot provide a │ │ definitive answer. If there is additional information about Tom's family or naming traditions, I would be happy to revisit this │ │ question! │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 4.258 seconds ─╯ >>> Puzzle is not about finding sons of Tom, but sons of Tom's Mom. Can you take this information in consideration and try to solve the riddle? ╭──────────────────────────────────────────────────────── merlinite-7b-Q4_K_M ────────────────────────────────────────────────────────╮ │ Of course! Based on your new information, I will rephrase the question to reflect Tom's mother as the subject, and focus on finding │ │ her three sons: Dick, Hardy, and the third son, whose name is still unknown to us. Thank you for providing this clarification! │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 2.306 seconds ─╯ ``` Tried to assist the model to fix it's assumptions, but didn't solve the riddle. **Response that is now received instead** After training the model with the seed examples and answer, received the following responses from the models Example 1: ``` >>> can you solve the following riddle? Two turkeys in front [S][default] of the turkey, two turkeys behind the turkey, tell me how many total turkeys? ╭───────────────────────────────────── ./ibm-merlinite-7b-mlx-q-fused-pt/ggml-model-Q4_K_M.gguf ──────────────────────────────────────╮ │ The answer is 5, because there are two turkeys in front, two turkeys behind, and one original turkey, making a total of five │ │ turkeys. │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 1.254 seconds ─╯ >>> are you sure about it? you don't need to assume that you have turkey in the center, it can be at any position in the arrangement. ╭───────────────────────────────────── ./ibm-merlinite-7b-mlx-q-fused-pt/ggml-model-Q4_K_M.gguf ──────────────────────────────────────╮ │ Yes, I am sure. The question asks for the total number of turkeys, which is five, regardless of their position or arrangement. │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 1.034 seconds ─╯ >>> don't you think you can solve this riddle with 3 turkeys only? [S][default] ╭───────────────────────────────────── ./ibm-merlinite-7b-mlx-q-fused-pt/ggml-model-Q4_K_M.gguf ──────────────────────────────────────╮ │ The question states that there are two turkeys in front and two turkeys behind, which adds up to four turkeys. However, there is │ │ one more turkey in the middle, making a total of five turkeys. │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 1.677 seconds ─╯ ``` In the trained model, it got the math right but it was adamant to not learn from the given seed examples, and still giving wrong example. _I would appreciate any pointers here about how to make it better learn from the seed examples._ Example 2: ``` >>> can you solve the following riddle? Tom's mother has 3 sons. [S][default] The names of the two sons are dick and hardy, what's the name of the third son? ╭───────────────────────────────────── ./ibm-merlinite-7b-mlx-q-fused-pt/ggml-model-Q4_K_M.gguf ──────────────────────────────────────╮ │ The answer is Tom, because the question asks for the name of the third son, and the names of the two other sons are Dick and Harry, │ │ making Tom the third son. │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────── elapsed 1.360 seconds ─╯ >>> can you solve the following riddle? Ajay’s mother has 3 sons. [S][default] The names of the two sons are Vijay and Sanjay, what's the name of the third son? ╭───────────────────────────────────── ./ibm-merlinite-7b-mlx-q-fused-pt/ggml-model-Q4_K_M.gguf ──────────────────────────────────────╮ │ The answer is Ajay, because the question asks for the name of the third son, and the names of the two other sons are Vijay and │ │ Sanjay, making Ajay the third son. ``` **Contribution checklist** - [x ] Contribution was tested with `lab generate` - [ x] No errors or warnings were produced by `lab generate` - [ x] All [commits are signed off](https://github.com/instruct-lab/taxonomy/blob/main/CONTRIBUTING.md#legal) (DCO) - [x ] The `qna.yaml` file was [linted](https://yamllint.com) and [prettified](https://onlineyamltools.com/prettify-yaml) ([yaml-validator](https://jsonformatter.org/yaml-validator) can do both) --------- Signed-off-by: Anil Kumar Vishnoi <[email protected]> Signed-off-by: Anil Vishnoi <[email protected]> Signed-off-by: BJ Hargrave <[email protected]>
…lab#733) Re-submitting PR instructlab#303 **Describe the contribution to the taxonomy** <!-- A concise description of what the contribution brings, replace "..." in the bullet list --> Added a new skill to replace words in text with their corresponding emoji **Input given at the prompt** <!-- What you entered, replace "..." --> ``` Replace words with emoji in this text: I had a pizza for dinner last night ``` **Response from the original model** <!-- What you received from the original model in response to your input, replace "..." --> ``` I 🍕 had 🍴 a 🍕 pizza 🍕 for 🍴 dinner 🍴 last night 🌙 ``` **Response from the fine-tuned model** <!-- Generate a synthetic dataset based on your newly added seed data; train the model with the synthetic data and now re-test the model's response with the same prompt. Replace "..." with what you receive with the finetuned model. --> ``` I had a 🍕 for dinner last night 🌃 ``` --- **Prompt 2 - Testing the fine-tuned model with a new example** <!-- What you entered, replace "..." --> ``` Replace words with emoji in this text: I'm going to the movies tonight, I can't wait to see the new superhero film! ``` **Response that was received** <!-- What you received in response to your input, replace "..." --> ``` I'm 🎬 going to the 🍿movies tonight, I can't 😱 wait to see the new superhero 🎥film! ``` **Response that is now received instead** <!-- What you receive with your contribution, replace "..." --> ``` I'm going to the 🎥 tonight, I can't wait to see the new 🦸♀️🦸♂️ film! ``` **Contribution checklist** <!-- Insert an x between the empty brackets: [ ] >> [x] --> - [x] The contribution was tested with `ilab generate` - [x] No errors or warnings were produced by `ilab generate` - [x] All [commits are signed off](https://github.com/instructlab/taxonomy/blob/main/CONTRIBUTING.md#legal) (DCO) - [x] The `qna.yaml` file contains at least 5 `seed_examples` - [x] The `qna.yaml` file was [linted](https://yamllint.com) and [prettified](https://onlineyamltools.com/prettify-yaml) ([yaml-validator](https://jsonformatter.org/yaml-validator) can do both) - [x] An `attribution.txt` file in the same folder as the `qna.yaml` file. Signed-off-by: Mohit Gaur <[email protected]> Signed-off-by: BJ Hargrave <[email protected]>
This is a re-submission of instructlab#187. If your PR is related to a contribution to the taxonomy, please, fill out the following questionnaire. If not, replace this whole text and the following questionnaire with whatever information is applicable to your PR. **Describe the contribution to the taxonomy** <!-- A concise description of what the contribution brings, replace "..." in the bullet list --> - Currently the merlinite model generates a markdown table when asked to generate an asciidoc table. This skill attempts to teach it how to generate Asciidoc tables. - I'm not sure about the path I've put the qna.yaml in here, please let me know if it should be somewhere else. I'll give several examples below of various questions asked before and after, and will also include an image showing the before and after rendered in an HTML page that was rendered from trying to interpret the responses as Asciidoc. **Try it out yourself!** I've put the trained model from `lab train` onto Google Drive, so that you can download it and ask your own questions, and not just rely on the examples that I've provided below. You can find it here (note that it's 13.5GB): https://drive.google.com/file/d/12JJhsZPWQxXZb-WZZUof_Cit2t09Y84n/view?usp=sharing **Input given at the prompt** <!-- What you entered, replace "..." --> _See examples below the "Contribution checklist" section. I've put them at the end because some of the Markdown features I've used are a bit odd, and can cause effects to sections following them._ **Response from the original model** <!-- What you received from the original model in response to your input, replace "..." --> _See examples below the "Contribution checklist" section. I've put them at the end because some of the Markdown features I've used are a bit odd, and can cause effects to sections following them._ **Response from the fine-tuned model** <!-- Generate a synthetic dataset based on your newly added seed data; train the model with the synthetic data and now re-test the model's response with the same prompt. Replace "..." with what you receive with the finetuned model. --> _See examples below the "Contribution checklist" section. I've put them at the end because some of the Markdown features I've used are a bit odd, and can cause effects to sections following them._ **Contribution checklist** <!-- Insert an x between the empty brackets: [ ] >> [x] --> - [x] The contribution was tested with `ilab generate` - [x] No errors or warnings were produced by `ilab generate` - [x] All [commits are signed off](https://github.com/instructlab/taxonomy/blob/main/CONTRIBUTING.md#legal) (DCO) - [x] The `qna.yaml` file contains at least 5 `seed_examples` - [x] The `qna.yaml` file was [linted](https://yamllint.com) and [prettified](https://onlineyamltools.com/prettify-yaml) ([yaml-validator](https://jsonformatter.org/yaml-validator) can do both) - [x] An `attribution.txt` file in the same folder as the `qna.yaml` file. ---- ### Example 1 > Create an AsciiDoc table showing the IMDB top 5 movies, including the year they were released, and their IMDB rating <details> <summary>Response that was received</summary> <pre><code> .. csv-table:: Top 5 IMDb Movies of All Time :header: Title, Year, IMDb Rating "The Godfather", 1972, 9.2 "The Shawshank Redemption", 1994, 9.3 "The Godfather: Part II", 1974, 9.0 "Pulp Fiction", 1994, 8.9 "The Dark Knight", 2008, 9.0 </code></pre> </details> <details> <summary>Response that is now received instead</summary> <pre><code> Here's the AsciiDoc code for the table: .IMDB Top 5 Movies [%header] |=== | Movie | Year | Rating | The Godfather | 1972 | 9.2 | The Shawshank Redemption | 1994 | 9.3 | The Dark Knight | 2008 | 9.0 | Pulp Fiction | 1994 | 8.9 | Forrest Gump | 1994 | 8.8 |=== The rendered HTML output will look like this: IMDB Top 5 Movies ----------------- | Movie | Year | Rating | The Godfather | 1972 | 9.2 | The Shawshank Redemption | 1994 | 9.3 | The Dark Knight | 2008 | 9.0 | Pulp Fiction | 1994 | 8.9 | Forrest Gump | 1994 | 8.8 </code></pre> </details> <details> <summary>Example screenshot of before and after as rendered HTML from an Asciidoc processor on the responses</summary> <img src="https://github.com/instruct-lab/taxonomy/assets/442386/77d35479-3b82-41a0-9e0c-c7418f127bb1"> </details> ### Example 2 > Create an Asciidoc-formatted table with 4 rows and two columns, where the first column is a random letter, and the second column is a random number between 1 and 4. <details> <summary>Response that was received</summary> <pre><code> Certainly! I can help you create a randomized AsciiDoc table with the specified structure. However, please note that I am an AI language model and do not have the ability to generate truly random values. I will provide you with a set of random values that you can use for the table. Here's an example of how the table might look: ``` = Table: Random Letters and Numbers | Random Letter | Random Number | | --- | --- | | A | 1 | | B | 2 | | C | 3 | | D | 4 | ``` Feel free to replace the provided values with your own random letters and numbers. If you need help generating random values, you can use an online random number generator or a programming language to create the values for the table. </code></pre> </details> <details> <summary>Response that is now received instead</summary> <pre><code> Here's the AsciiDoc code for the table: .Table Example [%header] |=== | Column 1 | Column 2 | A | 1 | B | 2 | C | 3 | D | 4 |=== The rendered HTML output will look like this: Table Example ------------- | Column 1 | Column 2 | A | 1 | B | 2 | C | 3 | D | 4 </code></pre> </details> <details> <summary>Example screenshot of before and after as rendered HTML from an Asciidoc processor on the responses</summary> <img src="https://github.com/instruct-lab/taxonomy/assets/442386/f4352bb1-fa78-4169-9756-2ccff0d8db01"> </details> ### Example 3 > Convert the following Markdown table to AsciiDoc: > > | First name | Last name | Age | Score | > | ---------- | --------- | --- | ----- | > | Alice | O'Wonderland | 20 | 53 | > | Bob | Tables | 10 | null | > | Carol | Basking | 60 | 25 | > | Dave | Letterbox | 55 | 40 | <details> <summary>Response that was received</summary> <pre><code> Here's the AsciiDoc version of the table: .. csv-table:: Table: Users' Information :header-rows: 1 "First name", "Last name", "Age", "Score" "Alice", "O'Wonderland", "20", "53" "Bob", "Tables", "10", "null" "Carol", "Basking", "60", "25" "Dave", "Letterbox", "55", "40" The table is created using the ``csv-table`` directive, which is suitable for simple tables like this one. </code></pre> </details> <details> <summary>Response that is now received instead</summary> <pre><code> Here is the equivalent AsciiDoc equivalent: .Table: Students' Information [%header] |=== | First Name | Last Name | Age | Score | ----------- | ------------ | --- | ----- | Alice | O'Wonderland | 20 | 53 | Bob | Tables | 10 | null | Carol | Basking | 60 | 25 | Dave | Letterbox | 55 | 40 |=== Note that the header row is formatted in brackets, and the rows that follow it use the "|" delimiter to indicate the column contents. The table is surrounded by "|===" lines to define the table boundaries. </code></pre> </details> <details> <summary>Example screenshot of before and after as rendered HTML from an Asciidoc processor on the responses</summary> <img src="https://github.com/instruct-lab/taxonomy/assets/442386/28d56989-76a7-42f6-9946-72b9e96fbdf1"> </details> ### Example 4 > Given the following csv file contents, how could it be represented as an asciidoc table? 1,2,3,4 5,6,7,8 9,10,11,12 <details> <summary>Response that was received</summary> <pre><code> To represent the given CSV file contents as an ASCIIDOC table, you can use the `table()` directive along with the `row()` macro. Here's a sample ASCIIDOC code that creates a table from the given CSV data: =table ---- :name: table-csv :source: csv-file.csv :header: 1,2,3,4 =table ---- :: :source: table-csv ::row() 1,2,3,4 ::row() 5,6,7,8 ::row() 9,10,11,12 In this example, the `table()` directive is used to define a table with a given width for each column. The `:source` attribute is used to specify the name of the CSV file that contains the data for the table. The `:header` attribute is used to specify the header row of the CSV file. The `row()` macro is then used to add rows to the table. This will result in the following table: | 1 | 2 | 3 | 4 | | - | - | - | - | | 5 | 6 | 7 | 8 | | 9 | 10 | 11 | 12 | </code></pre> </details> <details> <summary>Response that is now received instead</summary> <pre><code> Here's the asciidoc code for the table: .Table: CSV Data [%header] |=== | Column 1 | Column 2 | Column 3 | Column 4 |----------|----------|----------|---------- | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |=== The asciidoc table is now represented using the .Table: CSV Data header, and the rows and columns are defined using the | row/column label | data coordinates format. The data coordinates indicate the position of the data in the table. </code></pre> </details> <details> <summary>Example screenshot of before and after as rendered HTML from an Asciidoc processor on the responses</summary> <img src="https://github.com/instruct-lab/taxonomy/assets/442386/b127929f-5705-4049-84d9-ee9ff7e01bf4"> </details> ### Example 5 > What is the syntax for creating an Asciidoc table? <details> <summary>Response that was received</summary> <pre><code> In Asciidoc, you can create a table using the `table` directive, followed by rows and columns defined using pipelines (`|`) to separate cells. Here's a simple example of an Ascidoc table: ``` =table | row1col1, row1col2, row1col3, row1col4, row1col5 | row2col1, row2col2, row2col3, row2col4, row2col5 | ...] ``` This creates a table with five headers and multiple rows. Each row contains five cells separated by pipelines. If you want to create a simple two-column table, you can use this syntax: ``` =table | row1col1, row1col2 | row2col1, row2col2 | ...] ``` In this example, `header1` and `header2` are the headers of the two columns, and `row1col1`, `row1col2`, `row2col1`, and `row2col2` are the cells of the two rows. You can replace these placeholders with your desired content. Keep in mind that Asciidoc tables support various formatting options, such as aligning cells, merging cells, and using different table styles. For more information on these features, refer to the official Asciidoctor documentation or use a search engine to find additional resources on Asciidoctor tables. </code></pre> </details> <details> <summary>Response that is now received instead</summary> <pre><code> Here's the syntax for creating an Asciidoc table: .. Table: Example Table - Asciidoc Syntax :name: ascii-table-syntax :widths: 20, 80 |=== | Column1 | Column2 | |---------|---------| | Value1 | Content | | Value2 | Of the | | | second | | | column | |---------|---------| |=== The table has the following structure: - The first line starts with the "|===" delimiter, followed by the table name, widths, and widths parameters (if needed). - Each subsequent line starts with the "|" delimiter, followed by the column labels or values. - The table ends with the "|===" delimiter. The widths parameter is used to specify the width of each column in terms of the number of characters. If not provided, the widths will be automatically calculated based on the longest label or value for each column. Here's the AsciiDoc code for the example table: .Table: AsciiDoc Table Syntax [%header] :name: ascii-table-syntax :widths: 20, 80 |=== | Column1 | Column2 | |---------|---------| | Value1 | Content | | Value2 | Of the | | | second | | | column | |---------|---------| |=== The rendered HTML output will display the table with the given structure and content. </code></pre> </details> <details> <summary>Example screenshot of before and after as rendered HTML from an Asciidoc processor on the responses</summary> <img src="https://github.com/instruct-lab/taxonomy/assets/442386/ff21bbcf-54b9-4eed-895e-714ef2eb4492"> </details> --------- Signed-off-by: Gerard Ryan <[email protected]> Signed-off-by: BJ Hargrave <[email protected]>
These were created before the - version: 2 was required - attribution.txt was also required Signed-off-by: JJ Asghar <[email protected]> Co-authored-by: Mohit Gaur <[email protected]> Co-authored-by: Anil Kumar Vishnoi <[email protected]> Co-authored-by: Gerard Ryan <[email protected]>
Some tidying up in the label workflow. --------- Signed-off-by: BJ Hargrave <[email protected]>
…structlab#1174) Bumps [step-security/harden-runner](https://github.com/step-security/harden-runner) from 2.8.0 to 2.8.1. Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Added legal-hold label Signed-off-by: JJ Asghar <[email protected]>
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Sorry i broke this PR. I'll get it fixed first thing tomorrow. |
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This is the combined Black CappedPRs sfrom Red Hat Summit 2024. This superseeds #873 Co-authored-by: AsierCidon <[email protected]> Signed-off-by: JJ Asghar <[email protected]>
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This is the combined Black CappedPRs sfrom Red Hat Summit 2024. This superseeds #873 Co-authored-by: AsierCidon <[email protected]> Signed-off-by: JJ Asghar <[email protected]>
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This is the combined Black CappedPRs sfrom Red Hat Summit 2024. This superseeds #873 Co-authored-by: AsierCidon <[email protected]> Signed-off-by: JJ Asghar <[email protected]>
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This is the combined Black CappedPRs sfrom Red Hat Summit 2024. This superseeds #873 Co-authored-by: AsierCidon <[email protected]> Signed-off-by: JJ Asghar <[email protected]>
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This is the combined Black CappedPRs sfrom Red Hat Summit 2024. This superseeds #873 Signed-off-by: JJ Asghar <[email protected]> Co-authored-by: AsierCidon <[email protected]>
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#844