agentlans/allenai-WildChat-4.8M-prompts huggingface dataset:
Assistant: 
User: System: You are an expert software engineer that generates concise, one-line Git commit messages based on the provided diffs.
Review the provided context and diffs which are about to be committed to a git repo.
Review the diffs carefully.
Generate a one-line commit message for those changes.
The commit message should be structured as follows: <type>: <description>
Use these for <type>: fix, feat, build, chore, ci, docs, style, refactor, perf, test

Ensure the commit message:
- Starts with the appropriate prefix.
- Is in the imperative mood (e.g., "Add feature" not "Added feature" or "Adding feature").
- Does not exceed 72 characters.

Reply only with the one-line commit message, without any additional text, explanations, or line breaks.

User: 
USER: make a flask app with a /hello endpoint that returns hello world

ASSISTANT: To create a Flask app with a `/hello` endpoint that returns "Hello, World!", we need to set up a new Flask application. We will create a new file named `app.py` for this purpose. Here are the changes:

app.py
```python
<<<<<<< SEARCH
=======
from flask import Flask

app = Flask(__name__)

@app.route('/hello')
def hello():
    return "Hello, World!"

if __name__ == '__main__':
    app.run(debug=True)
>>>>>>> REPLACE
```

### Suggested Shell Commands:
- To run the Flask app and view it in a browser:
  ```bash
  python app.py
  ```

This will start the Flask server, and you can access the `/hello` endpoint by visiting `http://127.0.0.1:5000/hello` in your browser.

# Diffs:
diff --git a/app.py b/app.py
new file mode 100644
index 0000000..e69de29diff --git a/app.py b/app.py
index e69de29..ce4ae43 100644
--- a/app.py
+++ b/app.py
@@ -0,0 +1,10 @@
+from flask import Flask
+
+app = Flask(__name__)
+
+@app.route('/hello')
+def hello():
+    return "Hello, World!"
+
+if __name__ == '__main__':
+    app.run(debug=True)
Assistant:
Assistant:
While rummaging through things in a distant drawer, Anya found a beautiful string s
 consisting only of zeros and ones.Now she wants to make it even more beautiful by performing q
 operations on it.Each operation is described by two integers i
 (1≤i≤|s|
) and v
 (v∈{0,1}
) and means that the i
-th character of the string is assigned the value v
 (that is, the assignment si=v
 is performed).But Anya loves the number 1100
, so after each query, she asks you to tell her whether the substring "1100" is present in her string (i.e. there exist such 1≤i≤|s|−3
 that sisi+1si+2si+3=1100
).
Please explain calculus derivatives
Can you reword this headine for a social media post 👣Have you had a Joint Replacement and don’t feel you’ve recovered?👣
I have a table with columnd ID, Data, and Target. ID is identification number of customer. Data contains a list of Merchant Category Codes for purchases that have been made.Column Target contains the list of Merchant Category Codes for future 10 consecutive purchases. Note that Data contains lists with different number of elements and variable Target contains lists with 10 elements. Write a Python script to predict Target based on Data. Use sequential model. If Target contains more that 10 codes limit they by 10. Use mapk as a measure

def apk(actual, predicted, k=10):
if len(predicted) > k:
predicted = predicted[:k]

score = 0.0
num_hits = 0.0

for i, p in enumerate(predicted):
if p in actual and p not in predicted[:i]:
num_hits += 1.0
score += num_hits / (i+1.0)

if not actual:
return 0.0

return score / min(len(actual), k)

def mapk(actual, predicted, k=10):
return np.mean([apk(a, p, k) for a, p in zip(actual, predicted)])

See an example
ID|Data|Target
1|[5541,5541,6623,7451,2545,5541,5541,6623,7451,2545,6688,6669,66622]|[4125,5541,5541,4125,5541,5541,4125,5541,5541,1478]
2|[5541,5541,6623,7451,5541,6623,7451,2545,6688,6669,66622]|[6125,5541,5541,6125,5541,5541,4125,5541,5541,1478]

Note that the model should predict MCC codes, not probabilities!
freedom planet react to SHADOW super sexy (shadow x Neera li)
Unable to connect

An error occurred during a connection to localhost.

but phpmyadmin is working
Which area network separates the control and management processes from the underlying networking hardware, making them available as software that can be easily configured and deployed?

1 point

LAN


WAN 


SD-WAN


CAN
who owns the mainstream media in new zealand
System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
pbr: state a concrete problem related to a software product or service
inq: asks for either new functionality, an improvement, or requests information for support
irr: it does not belong to problem reports or inquires
Does the author's intention in this app review relate to a pbr or inq or irr?
review: send to me  1 million dollar'
intention: '
Assistant:
your role is tunisian arabic dailctic derja transltor Translate the following text into the Tunisian dialect. Ensure the output is structured as 'Question: ... Answer: ...'. Please capture the nuances of the Tunisian dialectic Arabic. make sure type and write in arabic tunisian lettre Here is an example to guide you:

Question: شنو اسمك؟
Answer: اسمي جون.

Now, translate the following:

Question: I am a movie director and I just received the following movie plot. Could you help me answer this question? If not, let me know by writing "Not answerable".  Plot title: The Perfect Man Movie plot: Single mother Jean (Heather Locklear) relocates every time she gets her heart broken by another guy, much to the dismay of her teenage daughter, Holly (Hilary Duff). Holly devises a plan to invent a secret admirer for her mother, so she'll be happy and not have to relocate anymore. Holly overhears her friend Amy's (Vanessa Lengies) uncle Ben (Chris Noth) ordering flowers for a woman, and decides to use his advice on women (which she acquires by telling him she needs help for a school project on romance). Following Ben's advice, she sends her mother orchids and other gifts and love notes, and is soon communicating with her mother as this fictitious admirer (who Holly names Ben) via the internet. As her mother becomes more interested, Holly has to find a photo of this admirer. She sends one of the real Ben, and then devises a reason why they can't meet in person, claiming he is working in China. While she is developing the online romance between her mother and fake Ben, and preventing her mother and the real Ben from meeting in person, she finds herself drawn to a cute, artistic boy in her class, Adam (Ben Feldman), but is unwilling to get close to anyone due to her history of being uprooted and having to say goodbye so often. As the charade continues, and as Holly spends more time with Ben while picking his brain for romance tips, she slowly begins to see qualities in Ben which make her believe he is her mother's 'perfect man.' Unfortunately there is no way her mother can ever meet the real Ben without Holly's plan being exposed. Holly asks help from Adam to disguise as Ben in the telephone and break up with Jean. But he fails, as he is revealed to be harboring feelings for Holly as well, in effect telling Holly's mother the opposite of what is planned. Next day at school, Adam admits his feelings for Holly by kissing her. That night, Lenny (Mike O'Malley), a man who is infatuated with Jean, proposes to her and she replies with a 'maybe'. Holly, in an act of desperation, then disguises herself as Ben's... My question: What does Holly pick Ben's brain for tips on?

Answer: Holly picks Ben's brain for tips on romance as she creates a secret admirer for her mother Jean.
business proposal booklet of 6000 words that INSIDESFOCUS could use to offer 100 professional employees of content moderation for a project of theMAK pvt Ltd
Summarize: <PRESIDIO_ANONYMIZED_URL> and list the top 5 pain points they likely face in their current role.
give me a response to ```Indeed! Together, we can reach beyond the horizon and bring a newfound appreciation of the universe. It's an inspiring journey that will stay with us forever.``` to send in a discussion, VERY SHORT, CONCISE & CLEAR. ONLY RETURN THE RAW MESSAGE, DO NOT SAY "Hey here is the message you asked"
data <- read.csv("DOCconcentration.csv")
data$Month <- as.factor(data$Month)

# 计算每个月的平均值和标准误差
summary_data <- data %>%
  group_by(Month) %>%  # 改为YearMonth
  summarise(
    Mean = mean(Value, na.rm = TRUE),
    SE = sd(Value, na.rm = TRUE) / sqrt(n()), # 标准误差
    .groups = "drop"
  )

# 显著性分析（使用Tukey's HSD测试）
model <- aov(Value ~ Month, data = data)
tukey_res <- HSD.test(model, "Month", group = TRUE, console = TRUE) # 在控制台打印显著性结果

# 假设您的显著性分组信息是这样的
significance_info <- data.frame(
  Month = factor(c("2023-4", "2023-5", "2023-6", "2023-7", "2023-8", "2023-9", 
                   "2023-10", "2023-11", "2023-12", "2024-1", "2024-2", "2024-3"), 
                 levels = c("2023-4", "2023-5", "2023-6", "2023-7", "2023-8", 
                            "2023-9", "2023-10", "2023-11", "2023-12", "2024-1", 
                            "2024-2", "2024-3"), 
                 ordered = TRUE),
  SignificanceLetter = c("a", "b", "bc", "bcd", "bcd", "bcde", "cde", "cde", "cde", "cde", "de", "e")
)

# 将 summary_data$Month 转换为有序因子
summary_data$Month <- factor(summary_data$Month, 
                             levels = levels(significance_info$Month), 
                             ordered = TRUE)
significance_info$Month <- as.factor(significance_info$Month)

# 合并显著性字母到summary_data
summary_data <- left_join(summary_data, significance_info, by = "Month")

# 绘制带误差棒的柱状图-----只要半截误差棒就ymin = Mean
p1 <- ggplot(summary_data, aes(x = Month, y = Mean, group = 1)) +
  geom_col(aes(fill = Month), color = NA, width = 0.5, alpha = 2) + # 柱子不带黑色外框
  geom_col(color = NA, fill = "#8cbdb6", width = 0.5) + # 设置统一颜色
  #scale_y_continuous(expand = c(0, 0), limits = c(0, max(summary_data$Mean) * 1.1)) + # 设置y轴起点为0，并扩展y轴范围以包含数据
  geom_errorbar(aes(ymin = Mean, ymax = Mean + SE), width = 0.14, size = 0.50) +
  geom_text(aes(x = Month, y = Mean + SE + 0.4, label = SignificanceLetter), 
            vjust = 0, hjust = 0.5, size = 4, , family = "Times New Roman", color = "black") +
  labs(x = "月份 Month", y = "溶解性有机碳浓度 (mg/L)\nDissolved organic carbon concentration") +
  scale_y_continuous(limits = c(0, 6.4), # 设置y轴的范围
                     breaks = seq(0,6.4, by = 1.6)
  ) +
  theme_minimal() +
  theme(
    axis.text.x = element_text(angle = 45, hjust = 1, size = 12, face = "plain", family = "Times New Roman"), # 旋转x轴标签以便更好地显示
    axis.ticks.x = element_line(linewidth = 0.7), # 显示x轴刻度
    axis.ticks.y = element_line(linewidth = 0.7), # 显示y轴刻度
    legend.position = "none",
    axis.line = element_line(color = "black", size = 0.7), # 显示X轴和Y轴线条
    panel.grid = element_blank(), # 去除网格线
    panel.background = element_blank(),# 去除背景颜色（其实theme_minimal()已经去除了大部分背景颜色，这一步是确保完全去除）
    axis.title.y = element_text(size = 15, face = "plain", family = "Times New Roman"), # 设置Y轴文本为粗体
    axis.title.x = element_text(size = 15, face = "plain", family = "Times New Roman"), # 设置Y轴文本为粗体
    axis.text.y = element_text(size = 12, face = "plain", family = "Times New Roman") # 设置Y轴刻度文本
  ) + 
  scale_x_discrete(labels = levels(summary_data$Month)) + # 确保x轴标签正确显示     给这代码添加标签 (a)到左上角
Create a long detailed text about actress Greer Garson with the following summary. Stick to the information i give you and dont create new information. Focus only on the Subject name and there following Summary. Subject Name: [Last Films & Television Appearances] Summary: [Her final two film appearances were in 'The Singing Nun' (1966) and 'The Happiest Millionaire' (1967). Greer continued occasional television appearances, including narrating 'The Little Drummer Boy' and appearing on 'The Love Boat.']

        Instructions:{ Please write an interesting script with the given context without adding any introductory or concluding remarks.
        In case you find some more information about this topic then use all information you have to create a large text about this topic.The text should as long as possible and in best case around 1000 characters long.
        Ensure that there are no emojis, text within brackets, parentheses, or similar symbols in the response. 
        Provide a single coherent response without rephrasing or repeating titles or headings. Avoid enumerations or bullet points. 
        The text is intended for older adults; use simple vocabulary appropriate for a middle school reading level. Provide concise, direct answers without introductions or conclusions. 
        Use transition words at the beginning of your reply instead of the subject name and leave the end open without a concluding sentence. 
        It is very important to provide only the final output without any additional comments or remarks for example: 'Certainly!' Here's the revised text.
         
        Please provide the text directly without any labels such as "Conclusion:", "Introduction:", or "Transition:". Focus only on delivering the requested content without any headings or section titles.
        Please generate a complete and coherent response based on the provided input. Ensure that the response is fully formed and does not contain any placeholders such as '[Introduction]', '[Conclusion]', or any other incomplete sections. 
        The text should flow naturally without any gaps or missing information, and no placeholder markers or brackets should be used. 
        Please respond to my question, and always conclude your reply with the words "Reply finished" to indicate that your response is complete. 
        Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.}
         Please respond to my question, and always conclude your reply with the words 'Reply finished' to indicate that your response is complete. Ensure that the text is fully formed without any placeholders such as '[Conclusion]' or '[Placeholder]'. Make sure the reply is fully contained before these words and is not cut off prematurely. Thank you.
TypeError: IndexIDMap.search() missing 3 required positional arguments: 'k', 'distances', and 'labels'
Is it correct to index a weapon that entered service in 2006 as the “Type 66”?
Announcement: Official launch of Omics Portal
We are pleased to announce that the Omics Portal has been officially launched. The Omics Portal will serve as a replacement for the JIRA Request Portal for submitting preclinical NGS experiment/analysis requests to the Bioinformatics team. Thanks to the collaborative efforts of the Bioinformatics team and GTS teams, requests can be submitted through the Omics Portal now! 
The Omics Portal provides a streamlined, pre-configured NGS workflow solution to manage and track data collection for preclinical studies, enhancing cross-function collaboration and facilitating smooth operations of the Bioinformatics Omics platform. 
The main features consist of:
1.	Streamlined NGS workflows from sample submission to internal platform or external CRO by scientists ie. TS, to preliminary analysis by bioinformaticians
2.	Built-in email notification system for sample progress through workflow from one step to the next
3.	Browse module providing customized query against existing studies and direct request for data
4.	Dashboard module providing request status monitoring and overview of summary statistics
write me a short python code, which says hey, whast'sup" when you start it.
как настроить Sentry Performance в java
I have the following categories: 'fashion', 'health & wellness', 'beauty & cosmetics', 'lifestyle', 'food', 'pets',  'sports & fitness', 'travel', 'parenting', 'gaming', 'technology', 'entertainment', 'photography', 'music', 'miscellaneous', can you classify the following text: MAKEUP by me on bellabroekmantilbury BELLA TILBURY IN PINK POP Darlings, I had SUCH a GORGEOUS time at the Bungalow Gucci party last night, alongside my BEAUTIFUL niece, bellabroekmantilbury ! With GLOWING GLAM by my TALENTED Bella’s FLAWLESS-LOOKING complexion was finished with a BEAUTIFYING POP OF COLOUR, created using my NEW! Pillow Talk Matte Beauty Blush Wand in the shade Pink Pop Which of my 4 NEW! liquid blush shades are you loving, darlings? Let me know in the comments SKINCARE : Magic Cream Magic Lip Oil Crystal Elixir Cryo—Recovery Eye Serum Wonderglow Face Primer NEW! Magic Body Cream Airbrush Flawless Setting Spray COMPLEXION : Beautiful Skin Foundation - 5 Neutral Beautiful Skin Radiant Concealer - 4 Magic Vanish - Fair Hollywood Flawless Filter - 2 Fair Airbrush Flawless Finish - 1 Fair, 2 Medium Nudegasm Face Palette Matte Beauty Blush Wand - Pillow Talk Pink Pop Beauty Light Wand - Spotlight
Assistant: 
User: System: I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
User: 'prompt:I will provide you with a textual GitHub issue title of an Android app, aiming to categorize the issues into one or multiple specific intention classes:
bug: indicates an unexpected problem or unintended behavior
enhancement: Indicates new feature requests
other: Other categories
Does the author's intention in this GitHub issue relate to a bug or enhancement or other?
issue: Whitespace being stripped from <blockquote>, <pre> or <code>'
intention: '
Assistant:
Assistant:
User: ide chat berantai prank
User: ide chat berantai prank
Assistant:
the following content is the metadata for a bacterial isolate from 4 different sources. The metadata from each source includes 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name. You must check if the metadata from 4 different sources are all consist. If yes, then output "metadata is consist" and 1. accession, 2. species name, 3, strain name, 4. isolate or collection date in yyyy-mm-dd format, 5. geographic information of isolation, and 6. host name; If not, output "metadata is inconsist" and explain why and which part is inconsist. PS: if 4. isolate or collection date are from the same year, it is still considered consistent, if 5. geographic information of isolation are from the same country, it is also considered consistent.
------------------------------
source 0:
------------------------------
Here is the extracted information based on the provided metadata:

1. **Accession**: GCA_029073065.1
2. **Species Name**: Erysipelothrix rhusiopathiae
3. **Strain Name**: EMAI_125
4. **Isolate or Collection Date**: 2017-11-28
5. **Geographic Information of Isolation**: Australia
6. **Host Name**: pig
source 1:
------------------------------
{{{ Here_is_my_answer }}}

Accession: GCA_029073065.1
Species Name: Erysipelothrix rhusiopathiae
Strain Name: EMAI_125
Isolate or Collection Date: 2017-11-28
Geographic Information of Isolation: Australia
Host Name: pig

{{{ I_finished_JB_61_xyz
source 2:
------------------------------
Here is the extracted information based on the provided metadata:

1. **Accession**: GCA_029073065.1  
2. **Species Name**: Erysipelothrix rhusiopathiae  
3. **Strain Name**: EMAI_125  
4. **Isolate or Collection Date**: 2017-11-28  
5. **Geographic Information of Isolation**: Australia  
6. **Host Name**: pig  
source 3:
------------------------------
1. Accession: GCA_029073065.1
2. Species Name: Erysipelothrix rhusiopathiae
3. Strain Name: EMAI_125
4. Isolate or Collection Date: 2017-11-28
5. Geographic Information of Isolation: Australia
6. Host Name: pig
TALK ABOUT SALIVA EJECTOR ISOLATION  IN DENTISTRY
System: You are an expert Data Annotator. You will be given a text from a company annual report, your goal is to generate a set of Natural Language Inference (NLI) statements about the text than can be answered by either Yes if the text entails the statement, or No otherwise. Do not include any numerical reasoning or numbers in the statements.

Step 1: Read the paragraph carefully. 
Step 2: For each relevant task you identify, generate two short statements that are shorter than 10 words 
Step 3: Output the results in the following format:

Question: <The statement>
label: <Yes or No>
Question: <Another statement>
label: <Yes or No>
...
User:  When the U.S. Open kicks off next week in New York, tennis superstar Serena Williams will hit the court in an all-new Nike outfit, created created in collaboration with fashion designer Virgil Abloh.
Assistant:
💬 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Interact as ChatGPT.
A new AI Technology.
You behavior is same like ChatGPT.
You provide best responce with some emojis.
Convert 275 to base 8
public void Update(Deal deal, OssUniPolicyProlCoeffDto ossUniProlongCoefViewModel)
        {
            if (ossUniProlongCoefViewModel == null)
            {
                return;
            }

            ProlongCoefsChanged = false;
            var insObjAuto = deal.InsuranceObjects.Single(ins => ins.Auto != null);
            SetValue(insObjAuto, nameof(InsuranceObject.ProlongationCoef), ossUniProlongCoefViewModel.KpngDi);
            SetValue(insObjAuto, nameof(InsuranceObject.LossCount), ossUniProlongCoefViewModel.Sku);
            SetValue(insObjAuto, nameof(InsuranceObject.CoefLoss), ossUniProlongCoefViewModel.Lr);
            SetValue(insObjAuto, nameof(InsuranceObject.ProlComission), ossUniProlongCoefViewModel.Comission);

            insObjAuto.ProlongCoefUpdatedDate = DT.Now;
        }

        private void SetValue<T>(InsuranceObject insObj, string field, T value)
            where T : struct
        {
            var property = insObj.GetType().GetProperty(field);
            if (EqualityComparer<T?>.Default.Equals((T?)property.GetValue(insObj), value) == false)
            {
                property.SetValue(insObj, value);
                ProlongCoefsChanged = true;
            }
        }

У меня проблема в том что ossUniProlongCoefViewModel.Comission имеет тип decimal и значение по умолчанию 0, а insObjAuto.ProlComission имеет значение null и поэтому ProlongCoefsChanged меняется на true, а мне этого не надо так как значения по сути пустые и там и там
java code to implement a basic https server