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Context = [{"text": row[1]} for row in rows]9 sources = [row[2] for row in rows]10 blocks as batches (blocks may contain different numbers of rows).The actual size of the batch provided to fn may be smaller thanbatch_size if batch_size doesn’t evenly divide the block(s) sentto a given map task. Default batch_size is 4096 with “default”. default batch size depends on your resource type. If you’re using CPUs,the default batch size is 4096. If you’re using GPUs, you must specify an explicit batch size.(cont…)And we can combine all of this into one convenient function:1def semantic_search(query, embedding_model, k):2 embedding = np.array(embedding_model.embed_query(query))3 with psycopg.connect(os.environ["DB_CONNECTION_STRING"]) as conn:4 register_vector(conn)5 with conn.cursor() as cur:6 cur.execute("SELECT * FROM document ORDER BY embedding %s LIMIT %s", (embedding, k),)7 rows = cur.fetchall()8 semantic_context = [{"id": row[0], "text": row[1], "source": row[2]} for row in rows]9 return semantic_contextLinkResponse GenerationWe can now use the context to generate a response from our LLM. Without this relevant context that we retrieved, the LLM may not have been able to accurately answer our question. And as our data grows, we can just as easily embed and index any new data and be able to retrieve it to answer questions.image161from rag.generate import prepare_response2from rag.utils import get_client34def generate_response(5 llm, temperature=0.0, stream=True,6 system_content="", assistant_content="", user_content="", 7 max_retries=1, retry_interval=60):8 """Generate response from an LLM."""9 retry_count = 010 client = get_client(llm=llm)11 messages = [{"role": role, "content": content} for role, content in [12 ("system", system_content), 13 ("assistant", assistant_content), 14 ("user", user_content)] if content]15 while retry_count 16 try:17 chat_completion = client.chat.completions.create(18 model=llm,19 temperature=temperature,20 stream=stream,21 messages=messages,22 )23 return prepare_response(chat_completion, stream=stream)2425 except Exception as e:26 print(f"Exception: {e}")27 time.sleep(retry_interval) # default is per-minute rate limits28 retry_count += 129 return ""Note: We’re using a temperature of 0.0 to enable reproducible experiments but you should adjust this based on your use case. For use cases that need to always be factually grounded, we recommend very low temperature values while more creative tasks can benefit from higher temperatures.1# Generate response2query = "What is the default batch size for map_batches?"3response = generate_response(4 llm="meta-llama/Llama-2-70b-chat-hf",5 temperature=0.0,6 stream=True,7 system_content="Answer the query using the context provided. Be succinct.",8 user_content=f"query: {query}, context: {context}")9The default batch size for map_batches is 4096.LinkAgentLet's combine the context retrieval and response generation together into a convenient query agent that we can use to easily generate our responses. This will take care of setting up our agent (embedding and LLM model), as well as the context retrieval, and pass it to our LLM for response generation.1class QueryAgent:2 def __init__(self, embedding_model_name="thenlper/gte-base",3 llm="meta-llama/Llama-2-70b-chat-hf", temperature=0.0, 4 max_context_length=4096, system_content="", assistant_content=""):56 # Embedding model7 self.embedding_model = get_embedding_model(8 embedding_model_name=embedding_model_name, 9 model_kwargs={"device": "cuda"}, 10 encode_kwargs={"device": "cuda", "batch_size": 100})1112 # Context length (restrict input length to 50% of total length)13 max_context_length = int(0.5*max_context_length)1415 # LLM16 self.llm = llm17

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Parsing, generating, querying and computing Excel files are common tasks Java often handles. As Excel has complicated file format, it is hard to read /write Excel files by writing your own code. But this is made convenient by various class libraries like POI, EasyExcel and JExcel, where POI is the best.POI has all-around and comprehensive abilities to read/write Excel filesPOI can read/write Excel files of various formats, from the older binary format (xls) to the current OOXML (xlsx) format. It supports both large memory jobs by reading/writing the whole Excel file at once and small memory jobs by reading/writing the file in a stream style.POI designs Java classes for each of the many Excel elements, including workbook, printer, sheet, row and cell. Cell-related classes involve cell type, font style, color, date, alignment and border style, etc. There are more than forty methods in the cell style class for performing the most comprehensive read/write operations.POI has low-level read/write functionalitiesYet getting down to the tiniest detail creates low-level functionalities and, by taking care of every detail themselves, developers write programs totally from scratch. Even a very simple operation needs a lot of code. To read a row-wise xls file where the first row contains column headers, for instance:FileInputStream fileInputStream = new FileInputStream("d:\\Orders.xls");// get the excel bookWorkbook workbook = new HSSFWorkbook(fileInputStream);if (workbook != null) { // get the first sheet Sheet sheet = workbook.getSheetAt(0); if (sheet != null) { //get the col name/first line Row rowTitle = sheet.getRow(0); // first line if (rowTitle != null) { int cellTitles = rowTitle.getPhysicalNumberOfCells(); // get column number for (int i = 0; i Row-wise xls files are the most commonly seen Excel format, but POI does not offer any convenient methods to handle them. The only way is to parse a file by loop in the order of workbook->sheet->line->cell, which generates extremely complicated code as the above shows.The code is already so complicated for simply reading data from an xls file. To further process the Excel data, we need to first transform it to a structured data object like ArrayList or HashMap and the code will

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The blanket off his own head because he “knows” this comes next. Then we want to see him try to cover his own head when you give him the blanket.An indication that he’s really “learned” the game comes when we see him initiating the game with you by reaching out on his own to get a blanket, getting your attention with a giggle or squeal to let you know he wants to play, and then performing all of the covering/uncovering by himself. Saying “boo” might not come for months, but if he’s doing all of the prerequisites, we know he’s understanding the routine, with or without the word.So Big. This game begins when parents ask, “How big is (baby’s name)?” Then mom or dad should answer, “Sooooo big” while holding both arms up over their heads. If your baby isn’t watching or trying to imitate holding his arms up, help him do this. Repeat this cycle for 5 or 6 times before moving on to a new game. Babies and toddlers need repetition to learn. When a baby has truly learned this game, he holds his arms up, grins, and looks at his parents to say the words for him.Patty–Cake. This classic has so many different ways you can play. I say, “Patty cake, patty cake, baker’s man. Bake me a cake as fast as you can. Pat it out. Roll it up. Throw it in the pan.” I clap to the rhythm of the words during the patty cake and bake lines, clap fast on the “pat it out,” line, roll my hands in a circle on “roll it up,” and then throw my hands in the air for, “Throw it in the pan.” Help your baby do the motions until you’ve done it for several days or weeks, but stop helping when she begins to start to clap by herself.Row Your Boat. Sit down on the floor with your legs outstretched in front of you and place your baby on your legs. Hold your baby’s hands and row back and forward as you sing, “Row, row, row your boat, gently down the stream. Merrily, merrily, merrily, merrily, life is but a dream.” I sing a cute second verse with better hand motions. “Row, row, row your boat, gently down the stream. If you see an alligator, close your eyes and scream.” On the “alligator” line, let go of your baby’s hands and make a big alligator mouth by opening and closing your outstretched arms/hands. Cover your eyes for, “Close your eyes.” After you sing, “Scream,” SCREAM! Toddlers love this one! After you’ve played this one for a while, help your child participate and then initiate this game with you by putting him on lap and then asking what he wants to play. Don’t immediately offer your hands to “Row.” Many kids initiate this with me by reaching down and grabbing both of my hands and starting to rock back and forth. Also help start the hand motions for. First Row Sports. 2,189 likes. First Row Sports Live Sport Stream Online HD quality. Twitter: First Row Sports. 2,186 likes. First Row Sports Live Sport Stream Online HD quality. Twitter:

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The Excel Data Reader, you first need to create an instance of the `ExcelDataReader` class. The `ExcelDataReader` class takes a `Stream` object as a parameter. The `Stream` object represents the file that you want to read.Once you have created an instance of the `ExcelDataReader` class, you can use the `Read()` method to read the data from the file. The `Read()` method returns a `DataRow` object. The `DataRow` object represents a row of data in the Excel file.You can access the values in a `DataRow` object by using the `DataRow.Item` property. The `Item` property takes a column index as a parameter. The column index represents the column that you want to access.How to read an Excel file using the Excel Data AdapterThe Excel Data Adapter is a class that allows you to read data from an Excel file and insert it into a .NET DataTable object.To read an Excel file using the Excel Data Adapter, you first need to create an instance of the `ExcelDataAdapter` class. The `ExcelDataAdapter` class takes a `ConnectionString` object as a parameter. The `ConnectionString` object represents the connection string to the Excel file.Once you have created an instance of the `ExcelDataAdapter` class, you can use the `Fill()` method to read the data from the file. The `Fill()` method takes a `DataTable` object as a parameter. The `DataTable` object represents the DataTable object that you want to insert the data into.The `Fill()` method will read the data from the Excel file and insert it into the DataTable object. You can then access the data in the DataTable object by using the `DataTable.Rows` property. The `Rows` property returns a collection of `DataRow` objects. Each `DataRow` object represents a row of data in the DataTable object.You can access the values in a `DataRow` object by using the `DataRow.Item` property. The

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SQL SERVER QUERY EXECUTION DEMYSTIFIER top online app features downloads Welcome to Supratimas Web-based analysis tool for Microsoft SQL Server® query execution plans. also available as a SQL Server® Management Studio plug-in (download) Online Application If you like Supratimas, please support us with your donation. Features Overall cost. The number is color-coded when the cost is higher than 1%. Cost break-down: IO, CPU, Data size and the number of rows returned. Numbers are color-coded when they are more significant than a threshold. When the estimated number of rows is different from the actual number, the estimated number of rows is present and color-coded. Table and Index names, if available. Execution Flags. IO: CPU: SIZE: ROWS: ESTIMATED: 97.46% 7.82% 87.61 MB 363108 120 Index Seek [OBR_Derived] [IX_OBR_ExternalId] Ordered, FORWARD, Row Store, Partitioned Properties Aggregate Stream Aggregate by Properties Is Interleaved Executed false Logical Operation Aggregate Physical Operation Stream Aggregate Total Subtree Cost 0.00379116 Operation Properties including Estimated vs Actual Breakdown for Parallel executions IO: CPU: SIZE: ROWS: ESTIMATED: Clustered Index Seek [ORCA_Clinical_Event] [IX_ORCA_Cl..._Event_EID] Lookup, Ordered, FORWARD, Row Store, Parallel, Partitioned Properties General Estimated Actual 0 1 2 3 4 5 6 7 8 Batches 0 0 0 0 0 0 0 0 0 End Of Scans 0 0 0 0 0 0 0 0 0 0 Execution Mode Row Row Row Row Row Row Row Row Row Row Executions 6 0 1 1 1 1 1 1 0 0 Is Interleaved Executed false false false false false false false false false false Logical Operation Clustered Index Seek Physical Operation Clustered Index Seek Table Cardinality 940021000 Total Subtree Cost 0.00329114 Rows 1 6 0 1 1 1 1 1 1 0 0 IO: CPU: SIZE: ROWS: ESTIMATED: 0.00% 22.50% 1.06 KB 99 2209 Left Anti Semi Join Merge Join Properties Joins insights Aggregations insights Hash Keys [event_code] Residual [event_code] IS [event_code] [Expr1002] [Expr1003] [event_code] [event_code] DESC Top N Sort Sort [event_code] DESC 4 ROWS Properties Sorting insights Multiple statements analisys in a single view Toggle selection 2 statements select event_code, max(person_id), min(person_id) as minp from phs.event group by event_code having event_code like 'H%' order by event_code desc offset 2 row fetch next 2 row only Properties GO select top 1 * from phs.event Properties GO display all execution nodes display execution nodes with the cost over 1 percent only display only joins nodes Downloads Download Supratimas 2.2.0 for SQL Server Management Studio® 2016 for SQL Server Management Studio® v17.x for SQL Server Management Studio® v18.x -->

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Elevate your workflow with this Excel profile for Stream Deck. Featuring 32 handy actions, you’ll save time and make your workday easier. Whether it’s comments, hyperlinks, formulas, and much more - now available to you with just one click.About this profile: 32 actions, carry out common in-app commandsThemed icons: Designed to match Excel’s brandingDevice compatibility: Works best with Stream Deck XLWindows only: This profile does not support macOSActions included:New: Create a new documentOpen: Open a documentSave: Save your fileClose WB: Closes your current workbookData: Opens the Data Tab in the ribbonPrint: Print your DocumentMaximize Restore: Maximizes or restores your Excel windowClose: Closes you Excel window – asks you to save your changes beforeNew Worksheet: Creates a new WorksheetNext Sheet: Switches to your next WorksheetPrevious: Switches to your previous WorksheetFormat Cells: Opens the Format popupBolt: Selected cells will get BoltComment: Adds a commentCurrency Format: Adds your Currency formatPercent: Adds the Percent formatUndo: Undo your last actionEdit Cell: Allows to Edit the Cell instead of overwritingAutofilter: Adds the Autofilter to selected cellsActivate Filter: Opens the Filter selectionCreate Table: Creates a Table for selected cellsSelect Row: Selects the current RowSelect Colum: Selects the current ColumFormular: Opens the Formular tab in the ribbonCopy: Copies the current selectionPaste: Pastes the current selectionTime: Adds the current TimeDate: Adds the current DateHyperlink: Lets you enter a HyperlinkAuto complete: Opens the Auto complete option for the columFunction: Opens the Function popupCreate Name: Creates names using those of either row or column labelWith this Stream Deck profile for Excel, you have everything under control.For more Icons check out Excel 365 by VIVRE-MOTION

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Input on the Program row that you want to assign to the Program or Output.This will cut or take the input directly to output without any transitions.Overlay Bus (Top Row)In vMix, graphics placed on top of other sources are known as Overlays. These are also known as Down Stream Keyers (DSK) because the graphics are usually “keyed” over live video after any upstream effects are applied. The DSK buttons on the Control Surface correspond to the 1 through 4 numbers underneath each input in vMix (see graphic on page 1). 1. Select the Overlay channel you wish to use. Example: if you want to overlay an input on channel 1, press the DSK1 button. It will now light up indicating overlay channel one on the first 12 inputs is ready to be used.2. Press the desired input you wish to overlay. Example: if you have a lower third title in input 6, press button 6 on the Overlay row. Button 6 will then light up indicating that input 6 is overlaid on channel 1 of the chosen input.3. To see which inputs are currently active on each overlay channel, you can cycle through the 4 DSK buttons. If an overlay channel has an active input, the corresponding input will light up.Function Buttons (F1, F2, F3)1. To program the Function buttons, open up the settings window in vMix and click the Shortcuts tab.2. Click Add and a new window opens, with drop down menus showing usable keys and available vMix shortcuts.3.. First Row Sports. 2,189 likes. First Row Sports Live Sport Stream Online HD quality. Twitter: First Row Sports. 2,186 likes. First Row Sports Live Sport Stream Online HD quality. Twitter:

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Divided by Magisterium--a powerful religious and political body. When orphan Lyra uncovers a conspiracy of kidnapped children orchestrated by the Magisterium, she becomes the subject of their hunt, not only to stop her from telling the truth but to use her powers for their own gain. His Dark Materials - based on the series by Philip Pullman - is available to stream on HBO Max. Carnival Row The Witcher sees the of kingdoms and magic and non-magic people constantly at war with one another. For fans of a world divided, look no further than Amazon Prime's Carnival Row. When the lands of the magic world are destroyed, magical creatures are forced to live with humans and are treated as second-class citizens. However, fairy Vignette and human detective Philo team up to find out not only how to bridge the divide, but to also solve a string of murders that threaten the already unstable world of Carnival Row. Carnival Row has one season and is available to stream on Amazon Prime, with a second season on the way. Shadow And Bone The World of The Witcher is complex and well-built, letting audiences immerse themselves in the story. Another great fantasy series with fantastic world-building is Netflix's Shadow and Bone. Based on the series of books by Leigh Bardugo, the story centers on Alina Starkov, who learns that she is a sun summoner--the rarest form of Grisha (people with magic), and is destined to cross a deadly cloud of darkness called The Fold. Shadow and Bone is available to stream on Netflix with production on Season 2 recently wrapping. Fans eagerly await for Season 2's arrival, and to see more of Shadow and Bone's fantastic world. The Winx Saga Audiences of The Witcher love the charm of the show, from the magic to the characters. Fans can find their next show with incredible magic and lovable characters in Netflix's Fate: The Winx Saga. The story follows Bloom, a fire fairy, as she starts her training at her fairy boarding school where she meets others just like her. Ever since Bloom's arrival at the school, darkness has surfaced, and the terror of the Burned Ones is back infecting their sickness on others. Fate: The Winx Saga is available on Netflix. A Discovery Of Witches Audiences who love Yennefer and the other witches' storylines in The Witcher can find their magical fix in A

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Socket error.close()Close all active connections in the pool.ExampleRequestconst request = new sql.Request(/* [pool or transaction] */)If you omit pool/transaction argument, global pool is used instead.Eventsrecordset(columns) - Dispatched when metadata for new recordset are parsed.row(row) - Dispatched when new row is parsed.done(returnValue) - Dispatched when request is complete.error(err) - Dispatched on error.info(message) - Dispatched on informational message.execute (procedure, [callback])Call a stored procedure.Argumentsprocedure - Name of the stored procedure to be executed.callback(err, recordsets, returnValue) - A callback which is called after execution has completed, or an error has occurred. returnValue is also accessible as property of recordsets. Optional. If omitted, returns Promise.Example { // ... error checks console.log(result.recordsets.length) // count of recordsets returned by the procedure console.log(result.recordsets[0].length) // count of rows contained in first recordset console.log(result.recordset) // first recordset from result.recordsets console.log(result.returnValue) // procedure return value console.log(result.output) // key/value collection of output values console.log(result.rowsAffected) // array of numbers, each number represents the number of rows affected by executed statemens // ...})">const request = new sql.Request()request.input('input_parameter', sql.Int, value)request.output('output_parameter', sql.Int)request.execute('procedure_name', (err, result) => { // ... error checks console.log(result.recordsets.length) // count of recordsets returned by the procedure console.log(result.recordsets[0].length) // count of rows contained in first recordset console.log(result.recordset) // first recordset from result.recordsets console.log(result.returnValue) // procedure return value console.log(result.output) // key/value collection of output values console.log(result.rowsAffected) // array of numbers, each number represents the number of rows affected by executed statemens // ...})ErrorsEREQUEST (RequestError) - Message from SQL ServerECANCEL (RequestError) - Cancelled.ETIMEOUT (RequestError) - Request timeout.ENOCONN (RequestError) - No connection is specified for that request.ENOTOPEN (ConnectionError) - Connection not yet open.ECONNCLOSED (ConnectionError) - Connection is closed.ENOTBEGUN (TransactionError) - Transaction has not begun.EABORT (TransactionError) - Transaction was aborted (by user or because of an error).input (name, [type], value)Add an input parameter to the request.Argumentsname - Name of the input parameter without @ char.type - SQL data type of input parameter. If you omit type, module automatically decide which SQL data type should be used based on JS data type.value - Input parameter value. undefined and NaN values are automatically converted to null values.Examplerequest.input('input_parameter', value)request.input('input_parameter', sql.Int, value)JS Data Type To SQL Data Type MapString -> sql.NVarCharNumber -> sql.IntBoolean -> sql.BitDate -> sql.DateTimeBuffer -> sql.VarBinarysql.Table -> sql.TVPDefault data type for unknown object is sql.NVarChar.You can define your own type map.sql.map.register(MyClass, sql.Text)You can also overwrite the default type map.sql.map.register(Number, sql.BigInt)Errors (synchronous)EARGS (RequestError) - Invalid number of arguments.EINJECT (RequestError) - SQL injection warning.NB: Do not use parameters @p{n} as these are used by the internal drivers and cause a conflict.output (name, type, [value])Add an output parameter to the request.Argumentsname - Name of the output parameter without @ char.type - SQL data type of output parameter.value - Output parameter value initial value. undefined and NaN values are automatically converted to null values. Optional.Examplerequest.output('output_parameter', sql.Int)request.output('output_parameter', sql.VarChar(50), 'abc')Errors (synchronous)EARGS (RequestError) - Invalid number of arguments.EINJECT (RequestError) - SQL injection warning.toReadableStreamConvert request to a Node.js ReadableStreamExampleconst { pipeline } = require('stream')const request = new sql.Request()const readableStream = request.toReadableStream()pipeline(readableStream, transformStream, writableStream)request.query('select * from mytable')OR if you wanted to increase the highWaterMark of the read stream