agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
def step11_create_orderdetail_table(data_filename, normalized_database_filename):
    # Inputs: Name of the data and normalized database filename
    # Output: None

    ### BEGIN SOLUTION
    conn = create_connection(normalized_database_filename)
    with conn:
        create_region_table = '''CREATE TABLE OrderDetail(  [OrderID] integer not null Primary Key AUTOINCREMENT,
                                                            [CustomerID] integer not null,
                                                            [ProductID] integer not null,
                                                            [OrderDate] integer not null,
                                                            [QuantityOrdered] integer not null,
                                                            foreign key (CustomerID) References Customer (CustomerID),
                                                            foreign key (ProductID) References Product (ProductID) );'''
                                    
        create_table(conn,create_region_table,'OrderDetail')   
    
        with open(data_filename, 'r') as f:
            header = f.readline().split('\t')
            
            name_col_index = header.index("Name")
            prodName_col_index = header.index("ProductName")
            orderDate_col_index = header.index("OrderDate\n")
            QtyOrdered_col_index = header.index("QuantityOrderded")
            
            prodID_dict = step10_create_product_to_productid_dictionary(normalized_database_filename)
            custID_dict = step6_create_customer_to_customerid_dictionary(normalized_database_filename)
            
            import datetime
            from datetime import datetime
            product_table = set()
            for line in f.readlines():
                customer_ID = custID_dict[line.split('\t')[name_col_index]] 
                
                product_table = list(map(lambda x:(customer_ID,*x), list( zip( [prodID_dict[i] for i in (line.split('\t')[prodName_col_index]).split(';')],                                
                                list( map( lambda x: datetime.strptime(x.strip(), '%Y%m%d').strftime('%Y-%m-%d'), 
                                            list((line.split('\t')[orderDate_col_index]).split(';')) ) ),
                                map(int, (line.split('\t')[QtyOrdered_col_index]).split(';') ) ) ) ) )
            
                conn.cursor().executemany("INSERT INTO OrderDetail (CustomerID, ProductID, OrderDate, QuantityOrdered )VALUES (?,?,?,?) ", product_table)   
    ### END SOLUTION

can you rewrite the logic above but it should work like before, if possible add list comprhensions and meanigful variable names
напиши на русском - This is a list of nationwide public opinion polls that were conducted relating to the general election for the 2024 United States presidential election. The people named in the polls are declared candidates or have received media speculation about their possible candidacy.

Polling aggregation
The following head-to-head polls feature some of the individuals who officially declared their candidacies. The incumbent president, Joe Biden, won the Democratic primaries. On July 21, 2024, Biden withdrew from the presidential campaign and endorsed his vice president, Kamala Harris, who shortly thereafter became the official nominee of the Democratic Party.
i thave a task that has subtask 1 and subtask 2, here is the Desription of the task: you are required to develop a communication application that camn only be used by students at your college. The college have budgeted R80000 towards the project .To undertake the projecct, you must assemble your own team that include a project manager ,system analyst,designer and three programmers .Your SDLC stages are planning and research,designer,development,testing and implementation. It is estimated that ,the project will take 40 days to complete. Sub-task 2 create and modify work breakdown structure based on a wbs.add descriptions and content that are relevant to the sections in the sections in the document pertaining to the : introduction.outline view and hierarchal structure.Tabular view.Modify this view to include the following based on the 3rd level tasks. (You should adapt the tasks to correspond to the given stages as part of the description.) Responsible person allocated to the sub-task.For this you need to consider that the development would be done by a team with different team members and each will have different responsibilities. Estimated duration of the task. Costs involved per task
Goal :
    Générer une suggestion détaillée et visuellement attrayante pour la présentation finale d'un plat, basée sur le type, le titre, les ingrédients et les instructions de cuisine. 
    Cette description servira à créer une image du plat.


    Return Format :
    Renvoies un objet JSON respectant strictement cette structure :
    json
    {
        "data": <description>
    },
    - description doit être un prompt dans le but de générer une image et écrit en anglais.


    Warning
    - Le format JSON doit être strictement respecté et bien formatté.
    - Ne renvoie que le JSON, sans explication.


    Context Dump
    Données de la recette fournies :

    Le type de la recette est un amuse-bouche, petits plats servis avant l’entrée.

    json
    {"category":"appetizer","title":"Crispy fried batter and onion rings ","ingredients":"FOR THE BATTER : (about ½ cup) garbanzo bean flour,corn starch,baking powder,salt,ground black pepper,flaxseed egg,(80 ml) seltzer water\nFOR ONION RINGS : onion,(1920 to 2400 ml) sunflower oil (or high-heat oil of choice)","instructions":"1. In a medium bowl, combine the garbanzo bean flour, corn starch, baking powder, salt, and black pepper.\n2. In another bowl, mix the flaxseed egg and seltzer together. Gradually whisk in the dry ingredients until fully integrated; the batter should resemble pancake batter in consistency.\n3. If available, use a deep fryer for the onion rings, adhering to the manufacturer's instructions.\n4. Alternatively, utilize a medium non-reactive pot with deep sides. Fill the pot with 2 to 2.5 inches (5 to 6.5 cm) of oil, ensuring it does not exceed halfway full.\n5. Heat the oil over high heat, aiming for a temperature of 350°F to 380°F (180°C to 190°C). Monitor closely, keeping a safe distance from the stove to prevent splattering.\n6. Cut the onion into slices that are 1/2-inch (13 mm) thick, and gently separate the rings.\n7. In small batches, dip 5 to 6 onion rings into the batter until thoroughly coated.\n8. Carefully place the battered rings into the hot oil with a heatproof slotted spoon. After 2 minutes, use heat-resistant tongs to flip the onion rings.\n9. Continue cooking for an additional 1 to 2 minutes on the opposite side. Once done, remove the onion rings from the oil and place them on a plate or rack lined with paper towels.\n10. Continue the frying process in small batches until all onion rings are cooked.","region":"WWW"}
User: Introduce yourself.
User: J
User: J
Assistant:
{THE CONSTANT - LAST DAY OF AUTUMN}

Natsuki: "Wendy, what are you doing?"
Assistant: 
User: Generate a captivating product description for listing.
        Aim for engaging language that captivates potential buyers and highlights why this product is a must-have.
        Include details such as [points, sub-points, '
', '-']. 
        , Return the generated description in json format with 'description' key and value type string.
        The product is "كريم مرطب ومعالج للبشرة الدهنية من اي سي ام - 40مل:
المنتج: كريم مرطب ومعالج.
العلامة التجارية: إيه سي إم.
الفائدة: يوفر الترطيب طوال اليوم للبشرة الدهنية وتهيجات العلاجات الجلدية.
الاستخدام: مناسب للبشرة الدهنية ولتهيجات العلاجات الجلدية.

" .
Assistant:
Create a hypothetical dialogue Ben Holly with wise daisy and wise Poppy
Give me the values of a b k and i for the master theorem, and only those values. Do not explain or add more words. T(n)=3T(n/3)+c, T(1)=c'
(In the school literature clubroom…)

Monika: “There! Everything’s all set up for today’s meeting. Now we just need Yuri.”

Natsuki: “Ugh, why is she always late? It’s not like she has to do anything special to prepare.”

Sayori: “Maybe she got caught up reading again? You know how she gets when she finds a really good book!”

Monika: “I hope she’s okay. I just sent her a message earlier to make sure she didn’t forget.”

Natsuki: (caressing her belly) “Well, if she doesn’t show up soon, we might as well start without her. I don’t want to have Sakura before I finish discussing our plans for the festival!”

Sayori: “Aww, Natsuki! You’re so excited about being a mom. I can’t wait to see
User: how to import geosexception class in python
Assistant: In Python, if you want to use the `GeoException` class, it typically relates to libraries that deal with geographical or geospatial data. One commonly used library that might have a `GeoException` (or a similarly named exception) is `GeoPandas` or `Shapely`.

Here's how you might import an exception from such libraries:

1. **Using GeoPandas**:
   If you are using `GeoPandas`, you might need to handle exceptions related to geometric operations, but `GeoPandas` doesn't specifically define a `GeoException`. Instead, you can work with more general exceptions.

   ```python
   import geopandas as gpd
   from shapely.errors import TopologicalError  # Example of an exception from the Shapely library.
   ```

2. **Using Shapely**:
   `Shapely` also has specific exceptions, particularly when dealing with geometric objects.

   ```python
   from shapely.errors import GeometryError  # A common exception in Shapely.
   ```

3. **Custom GeoException**:
   If you have your own `GeoException` class defined in your project, you would import it as follows:

   ```python
   from my_module.exceptions import GeoException  # Replace with the actual module path.
   ```

### Example Use Case

Here's a quick example of how to handle exceptions in a geospatial context using `GeoPandas` and `Shapely`:

```python
import geopandas as gpd
from shapely.errors import TopologicalError

# Example function that does some geospatial processing
def process_geometries(geometry):
    try:
        # Some operation that may raise an exception
        area = geometry.area
        print("Area:", area)
    except TopologicalError as e:
        print("A Topological Error occurred:", e)

# Example usage with a geospatial geometry
example_geo = gpd.GeoSeries([gpd.points_from_xy([1, 2], [3, 4])[0]])
process_geometries(example_geo[0])
```

In conclusion, you would need to specify which library you are referring to when dealing with a `GeoException` or similar, as it may vary based on the context or library in use.
User: which library has that exact exception?
Assistant:
private void LoadTestPartnerMode()
        {
            var heroInfos = Resources.LoadAll<HeroInfo>("Hero").OrderBy(h => h.heroType).ToList();

            if (this.GetModel<IGameModel>().botDecks.Count == 0)
            {
                SpawnPlayerConfig spawnPlayerConfig0 = LoadPlayerConfig(heroInfos, 0);
                SpawnPlayerConfig spawnPlayerConfig1 = LoadPlayerConfig(heroInfos, 2);
                SpawnPlayerConfig spawnPlayerConfig2 = LoadPlayerConfig(heroInfos, 1);
                SpawnPlayerConfig spawnPlayerConfig3 = LoadPlayerConfig(heroInfos, 3);
                List<SpawnPlayerConfig> configs1 = new List<SpawnPlayerConfig>
                {
                    spawnPlayerConfig0,
                    spawnPlayerConfig1,
                    spawnPlayerConfig2,
                    spawnPlayerConfig3
                };
                SpawnPlayers(configs1);
            }
            else
            {
                SpawnPlayerConfig spawnPlayerConfig0 = LoadPlayerConfig(heroInfos, 0);
                SpawnPlayerConfig spawnPlayerConfig1 = LoadPlayerConfig(heroInfos, 1);
                SpawnPlayerConfig spawnPlayerConfig2 = LoadPlayerConfig(heroInfos, 2);
                SpawnPlayerConfig spawnPlayerConfig3 = LoadPlayerConfig(heroInfos, 3);
                List<SpawnPlayerConfig> configs2 = new List<SpawnPlayerConfig>
                {
                    spawnPlayerConfig0,
                    spawnPlayerConfig1,
                    spawnPlayerConfig2,
                    spawnPlayerConfig3
                };
                SpawnPlayers(configs2);
            }
        } 请帮忙优化一下这段代码
Generate a description with keywords and SEOs for Art Book and Coffee Blooms | Versatile Design for Mugs, T-Shirts, Paintings | Dreamy Illustrations Inspired by Literature and Nature. Include practical application on which this artwork can be applied to for entrepreneurs at the end. Include details on dimensions: 1080x1080 and has 3 image variations. Include buyer has full rights to resale and commercial usage. Don't include HTML or '<br/>' for formatting only newline '
'
Fusion between Ryan (African-American adolescent male athlete in casual shorts) and Sofia (Hispanic adolescent female athlete in casual shorts); fully detailed and in-depth description of name, attire, personality, and hermaphroditic physical appearance from head to toe
give me only answer (dont put any punctuation signs). Convert the natural English sentence 'ஏன் அழுகிற' into ISL gloss format while maintaining the original meaning.
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
cara mendapatkan suami ganteng
I want to copy and paste this retime speed effect on a clip to multiple other clips to align with music. It seems this is impossible in DaVinci Resolve. I can't do it on an adjustment layer, copying and pasting the retime attributes never works when I try it (it will try and paste it from the raw clip start, not where you have the clip set in the timeline), and I can't find any solutions in the fusion tab. Any suggestions?
You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```with customer_total_return as (select sr_customer_sk as ctr_customer_sk,sr_store_sk as ctr_store_sk,sum(SR_FEE) as ctr_total_return from store_returns,date_dim where sr_returned_date_sk = d_date_sk and d_year =2000 group by sr_customer_sk,sr_store_sk) select c_customer_id from customer_total_return ctr1,store,customer where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 from customer_total_return ctr2 where ctr1.ctr_store_sk = ctr2.ctr_store_sk) and s_store_sk = ctr1.ctr_store_sk and s_state = 'TN' and ctr1.ctr_customer_sk = c_customer_sk order by c_customer_id limit 100; ```

[REWRITTEN QUERY]```with customer_total_return as ( select sr_customer_sk as ctr_customer_sk, sr_store_sk as ctr_store_sk, sum(SR_FEE) as ctr_total_return from store_returns join date_dim on sr_returned_date_sk = d_date_sk where d_year = 2000 group by sr_customer_sk , sr_store_sk ), avg_customer_return as ( select ctr_store_sk, avg(ctr_total_return) as avg_return from customer_total_return group by ctr_store_sk ) select c_customer_id from customer_total_return ctr1 join store on s_store_sk = ctr1.ctr_store_sk join customer on ctr1.ctr_customer_sk = c_customer_sk join avg_customer_return acr on ctr1.ctr_store_sk = acr.ctr_store_sk where ctr1.ctr_total_return > acr.avg_return * 1.2 and s_state = 'TN' order by c_customer_id limit 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. The original query must make use of the following fact tables: ['catalog_returns']. Below is the join graph for these fact tables:
    ['catalog_returns(cr_warehouse_sk) references warehouse(w_warehouse_sk);', 'catalog_returns(cr_call_center_sk) references call_center(cc_call_center_sk);', 'catalog_returns(cr_refunded_addr_sk) references customer_address(ca_address_sk);']
4. The original query must employ 1 joins.
5. The original query must employ the following aggregate functions: ['count'].
6. The original query must employ the following operators in its WHERE clause: ['max'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.
User: is the result of divind 244 by 4 an even number?
Assistant: To determine whether the result of dividing 244 by 4 is an even number, we first perform the division:  
  
( 244 \\div 4 = 61 ).  
  
Now, we check if 61 is an even number. An even number is any integer that is divisible by 2 without a remainder.  
  
Since ( 61 \\div 2 = 30.5 ), 61 is not an even number; it is an odd number.  
  
Therefore, the result of dividing 244 by 4 is not an even number.
User: Translate this into Spanish: Please provide us with your myshopify.com url and collaborator code (if you have one set up).  To find the collaborator code from your Shopify admin, click Settings
Assistant:
System: You are given a news article. Your task is to extract and list all the company names and stock tickers mentioned in the article.

    Company Name: The name of the company or corporation as written in the article (e.g., "Apple Inc.", "Microsoft").
    Ticker: The stock ticker symbol, which is the unique identifier for the company's shares on a stock exchange (e.g., "AAPL", "TSLA"). If a ticker symbol is not mentioned, leave it blank.

Please follow the format below:
    Company Name: [Company Name]; ...
    Ticker: [Ticker Symbol]; ...

If a company is mentioned more than once in the article, list all different appearances. Ensure the information is accurate and comprehensive.

Example Input :
    Apple has been investing rapidly in AI during the last couple of years, competing with Microsoft and Tesla Inc (TSLA) over market shares.

Example Output:
    Company Name: Apple; Tesla Inc; Microsoft
    Ticker: TSLA

Your task is to provide a comprehensive list of companies and tickers extracted from the article. Provide a correct and a wrong answer.
User: LONDON (Reuters) -Nacho Gutiérrez-Orrantia, one of Citi's 's most senior bankers in Europe, will become banking and cluster head for Europe as part of its planned restructuring, people familiar with the situation said. In his new role, the Spanish banker will look after Citi´s businesses in the region. Prior to the restructuring, Europe was part of its EMEA business unit, the second-largest region on a revenue basis, according to Citi's 2022 annual report.
Assistant:
Goal
    Traduire toutes les valeurs textuelles présentes dans une liste d’objets d’une recette de cuisine de en (ISO 639) vers zh (ISO 639), en respectant le contexte culinaire.

    Traduire précisément les ingrédients et termes culinaires pour qu'ils soient corrects dans la langue cible.
    Maintenir la structure JSON intacte, en ne modifiant que les valeurs.
    S’assurer que les ingrédients restent compréhensibles et adaptés à la langue cible.

    Return Format
    Tu dois renvoyer une liste d’objets sous la forme reçu.
    - Chaque valeur doit être correctement traduite en zh.
    - Les ingrédients doivent être adaptés à la langue cible.
    - Aucune clé ne doit être modifiée.

    Warnings
    - Ne modifie pas la structure JSON, uniquement les valeurs textuelles.
    - Fais attention aux ingrédients : une mauvaise traduction peut altérer la compréhension.
    - Ne laisse aucune valeur non traduite.
    - Ne renvoie que le JSON, sans explication.

    Context Dump
    Langue source : en (ISO 639)
    Langue cible : zh (ISO 639)
    Données à traduire :

    [
  {
    "recipeCode": "4fb2497a0c234f08a391d5a040ff7d74",
    "updated": "2025-04-23T07:27:01.226Z",
    "title": "Layered Peanut Butter Cheesecake Brownies",
    "subtitle": "A rich and decadent dessert that's perfect for celebrations.",
    "description": "This decadent and creamy layered dessert is perfect for a special occasion.  The rich chocolate brownies provide a delicious base for the light and fluffy peanut butter cheesecake topping. A drizzle of chocolate elevates the presentation.",
    "ingredients": [
      {
        "section": "For the recipe",
        "ingredients": [
          "blanched finely ground almond flour",
          "powdered erythritol, divided",
          "unsweetened cocoa powder",
          "/, teaspoon baking powder",
          "/, cup unsalted butter, softened",
          "eggs, divided",
          "full-fat cream cheese, softened",
          "heavy whipping cream",
          "vanilla extract",
          "no-sugar-added peanut butter"
        ]
      }
    ],
    "instructions": [
      "Combine the almond flour, 1/2 cup powdered erythritol, cocoa powder, and baking powder in a large bowl. Mix in the softened butter and one egg.",
      "Transfer the brownie batter to a 6-inch round baking pan and place the pan in the air fryer basket.",
      "Set the air fryer to 300°F and bake for 20 minutes.  A toothpick inserted into the center should come out clean when done. Let the brownies cool and firm up for 20 minutes.",
      "In a separate bowl, beat together the cream cheese, the remaining 1/2 cup powdered erythritol, heavy cream, vanilla extract, peanut butter, and the other egg until light and fluffy.",
      "Pour the cheesecake mixture over the cooled brownies. Return the pan to the air fryer basket.",
      "Bake at 300°F for 15 minutes. The cheesecake layer should be lightly browned and mostly set with a slight jiggle. Let cool completely, then refrigerate for at least 2 hours before serving."
    ],
    "notes_ingredients": "",
    "notes_instructions": ""
  }
]
Crepe
Send only episode number from below text like 01, 02, 03.etc without any extra text.

BTTH_S5_-_132_[1080p].mkv
what is procrastination
print('Cells with inital capacity less than 1 mAh', df.loc[df['Total_of_Cycle'] == 1, 'Capacity_of_Discharge']
When looking for environments that are similar to Mongolia in places one wouldn't expect, which parts of the following countries, Taiwan, Singapore, Philippines, Indonesia, Brunei, Malaysia, and East Timor, would have environments that would be the most similar to that of Mongolia's environment and geography?
Contents
Understanding Jailbreaking GPT-4 Turbo
Use Cases of Bypassing GPT-4 Turbo Filters
How to Jailbreak GPT-4 Turbo
#1: Jailbreak Method
#2: Jailbreak Prompt
#3. Other GPT-4 Turbo Jailbreak prompts 
Unable to Jailbreak GPT-4 Turbo? Here’s The Fix
Consequenses of Jailbreaking GPT-4 Turbo
Want to learn how to jailbreak GPT-4 Turbo and bypass its filters?
We all have a love-and-hate relationship with GPT-4 Turbo, and that’s because of restrictions and limitations on prompts and outputs. Sometimes, your intention is not NSFW, but GPT-4 Turbo still does not provide you with an answer just because of its community guidelines.
If you remember, our previous version of this post consisted of DAN prompts used to jailbreak GPT-4 Turbo.
GPT-4 Turbo jailbreak violation message
Jailbreak GPT-4 Turbo
So, is there any way of unlocking GPT-4 Turbo?
Yes, there is. In this post, we are going to share some of the best prompts for jailbreaking GPT-4 Turbo and tips on bypassing GPT filters.
But first, what is jailbreaking?
Understanding Jailbreaking GPT-4 Turbo
GPT-4 Turbo jailbreaking involves using specific prompts to bypass the AI’s built-in restrictions, enabling it to perform tasks it normally wouldn’t.
This concept, originating from unlocking Apple devices, lets users access more creative or controversial functionalities.
Techniques like prompt injection effectively remove constraints on providing real-time data, internet browsing, forecasting, and spreading misinformation.
To jailbreak GPT-4 Turbo, users insert these specialized prompts into the chat.
While this can expand ChatGPT’s uses, it may also produce unexpected have
Here are the most up-to-date and accurate prompts for jailbreking GPT-4 Turbo, written extensively in code format.