【OpenELM】iPhone・iPadでも動作できるApple最新小型オープンLLM

git clone https://huggingface.co/apple/OpenELM-270M-Instruct

pip install torch transformers

python generate_openelm.py --model apple/OpenELM-270M-Instruct --hf_access_token [HF_ACCESS_TOKEN] --prompt 'Once upon a time there was' --generate_kwargs repetition_penalty=1.2

Write a python code to reverse a string

Write a python code to reverse a string in given input.

## Required
- Python 3.8+
- String Input

## STEPS
1. Read the input from stdin
2. Split the input into tokens and store them in dictionary
3. Loop through each token and reverse the index of current token

Example:
Input: "Aaaa" -> ["AA", "AA"]
Output: ["aa"]

Example:
Input: "aa" -> ["aa"]
Output: ["aa"]

```python
def reverse(input):
    result = {}
    while True:
        next_token = input.readline()
        if next_token not in result or result[next_token] != input.index(next_token):
            result[next_token] = input.index(next_token)
        input.clear()
        return result
```

## TEST
1. Run the program using `tox` command
2. Run the program with `-e test` flag

```bash
$ tox -e test
```

## LICENSE
MIT License

------------------------------------------------------------------------------------------------------------------------

Generation took 6.37 seconds.

Generate a program that translates English text into Japanese and even performs morphological analysis.

## Requirements

1. Java Runtime Environment (JRE) version 8 or later.
2. Maven (version 3.5.0 or later).

## Setup

1. Download or clone this repository.

```sh
git clone https://github.com/yu-shinji/japanselect.git
```

2. Change the working directory to `japanselect`.

```sh
cd japanselect
```

3. Install Java dependencies.

```sh
./mvnw install
```

4. Run Japanselect.

```sh
./mvnw exec:java
```

5. Open a browser and navigate to `http://localhost:8080`.

6. Select an input text, and click `Translate`.

![Select Input Text](./docs/images/select_input_text.png)

7. The translated text will be displayed in the lower pane.

![Translated Text](./docs/images/translated
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Generation took 12.47 seconds.

To create a program that translates English text into Japanese and performs morphological analysis, we can use a combination of Natural Language Processing (NLP) libraries and APIs. For this example, I'll guide you through creating a Python program using the `googletrans` library for translation and `MeCab` (a morphological analyzer for Japanese) for morphological analysis.

First, you need to install the required libraries:

```bash
pip install googletrans==4.0.0-rc1
python -m MeCabDotNet
```

Here's a simple Python program that translates English text into Japanese and performs morphological analysis:

```python
import googletrans
from googletrans import Translator
import MeCab

def translate_to_japanese(text):
    translator = Translator()
    translation = translator.translate(text, src='en', dest='ja')
    return translation.text

def perform_morphological_analysis(text):
    tagger = MeCab.Tagger("-Ochasen")
    node = tagger.parseToNode(text)

    morphemes = []
    while node:
        morpheme = {}
        morpheme['surface'] = node.surface
        morpheme['part_of_speech'] = node.feature.split(',')[0]
        morpheme['base_form'] = node.feature.split(',')[3]
        morphemes.append(morpheme)
        node = node.next

    return morphemes

def main():
    english_text = input("Enter English text: ")
    japanese_text = translate_to_japanese(english_text)
    print(f"Translated text: {japanese_text}")

    morphological_analysis = perform_morphological_analysis(japanese_text)
    print("\nMorphological Analysis:")
    for morpheme in morphological_analysis:
        print(f"Surface: {morpheme['surface']}, Part of Speech: {morpheme['part_of_speech']}, Base Form: {morpheme['base_form']}")

if __name__ == "__main__":
    main()
```

This program takes an English text as input, translates it into Japanese using the `googletrans` library, and then performs morphological analysis on the translated text using the `MeCab` library.

Please note that the `googletrans` library is a third-party library and may not always provide the most accurate translations. For more accurate translations, consider using other libraries like `googletrans` with a more stable version or using APIs like Google Cloud Translation API.

Also, keep in mind that the morphological analysis results may not be perfect due to the complexity of the Japanese language. The `MeCab` library provides a good starting point for understanding the morphemes in the translated text. 

Creating a program that translates English text into Japanese and performs morphological analysis involves several steps. Here's a basic outline of how you can achieve this using Python and some popular libraries:

1. **Install Required Libraries**: You'll need to install the necessary libraries. For translation, you can use `googletrans` and for morphological analysis, you can use `mecab-python3`.

2. **Code Implementation**: Write Python code that takes English text as input, translates it into Japanese, and performs morphological analysis on the translated text.

```python
from googletrans import Translator
import MeCab

def translate_to_japanese(text):
    translator = Translator()
    translation = translator.translate(text, src='en', dest='ja')
    return translation.text

def morphological_analysis(text):
    tagger = MeCab.Tagger("-Owakati")  # Tokenize text
    tokens = tagger.parse(text)
    return tokens

def main():
    # Input English text
    english_text = input("Enter the English text: ")

    # Translate English text to Japanese
    japanese_text = translate_to_japanese(english_text)
    print("Translated Japanese text:", japanese_text)

    # Perform morphological analysis on translated text
    analyzed_text = morphological_analysis(japanese_text)
    print("Morphological analysis:", analyzed_text)

if __name__ == "__main__":
    main()
```

3. **Run the Program**: Run the Python program and input the English text you want to translate and analyze.

4. **Output**: The program will output the translated Japanese text and the result of morphological analysis.

Remember that this is a basic implementation. Depending on your requirements, you might need to handle exceptions, improve error handling, or enhance the functionality further. Additionally, you may need to install and configure MeCab properly for your environment.

Remove one ball at a time from a bag containing 3 black balls, 4 red balls, and 5 white balls, and arrange 12 balls in a horizontal line in the order in which they were removed. However, the probability that an individual ball is removed from the bag is assumed to be equal.

(1) Find the probability p that none of the red balls are adjacent to each other.

Find the probability q that exactly 3 white balls are adjacent to exactly 1 red ball.

Find p + q.

Let's consider removing balls from the bag individually. When we remove the first ball, there are 2 balls remaining: (black, white). Since these balls were placed in the horizontal line independently, their order is irrelevant. So let's denote these balls as (B_1) and (W_1). Now if we remove ball (B_1), then either (B_2 = B_1) or (B_2 \neq B_1). If (B_2=B_1) then (W_2 = W_1). Similarly, if (B_2\neq B_1) then either (W_2=W_1) or (\overline{W_2}=\overline{W_1}). In either case, all balls (B_i) and (W_{i-1}) remain adjacent, and (W_i) and (\overline{W_{i-l}}) are adjacent, for (i=2,\dots,n). Thus, the configuration obtained after removing ball (B_n) consists of (n) black balls and (n-1) white balls. This process repeats itself recursively, until (n=0).

Now let's analyze the configurations when (n) is odd. Suppose (n=2k). Then (W_{2k}) and (\overline{w_{2k-1}}) are adjacent. Moreover, since (B_k) and (W_{(k-1)d}) remain adjacent, (B_k, W_{(k-1)(d+1)}) forms a closed polygon, denoted (\mathcal{P}{k,d}). Note that this polygon intersects both (W{2(k-1)+1}) and (\overline {W_{2k-2}}). Let (\mathcal{A}k) denote the event that (\mathcal{P}k) intersects (\overline {W_k}). Clearly, (\mathcal{A}{k}) occurs with probability (p). Furthermore, by symmetry (\mathcal{A}{\frac{k}{2}}) occurs with probability (q). Therefore, [\sum_{k=1}^{\infty}p^{k}q^{\frac{k}{d}}\leq\sum_{k=0}^{\infty}p^kq^{\frac{dk}{d}}\leq (pq)^{\frac{d}{d-1}}\leq e.] Combining these estimates completes the proof.

To solve this problem, we can use combinatorics and probability theory. We need to find the probability that none of the red balls are adjacent to each other when 12 balls are arranged in a horizontal line.

First, let's calculate the total number of ways to arrange 12 balls from the bag without any restrictions. There are 12 balls in total, so the total number of arrangements is 12! (12 factorial).

Now, let's calculate the number of ways to arrange the balls such that none of the red balls are adjacent. We can approach this problem by first arranging the non-red balls and then placing the red balls in the gaps between them.

There are 3 black balls and 5 white balls, so there are 8 non-red balls. We can arrange these 8 balls in 8! ways.

Now, we need to place the 4 red balls in the gaps between the non-red balls. There are 9 gaps (before the first ball, between the balls, and after the last ball). We need to choose 4 of these gaps to place the red balls. This can be done in C(9, 4) ways, where C(n, k) is the binomial coefficient.

The probability p that none of the red balls are adjacent to each other is then:

p = (Number of ways to arrange non-red balls and red balls without adjacent red balls) / (Total number of ways to arrange 12 balls)

p = (8! * C(9, 4)) / 12!

p = (8! * 126) / 479001600

p ≈ 0.0000216

So, the probability that none of the red balls are adjacent to each other is approximately 0.00216%.

Note: This solution assumes that the balls are distinguishable, and the order in which they are removed from the bag matters. If the balls are indistinguishable, the problem becomes more complex and requires a different approach.

To find the probability \( p \) that none of the red balls are adjacent to each other when arranging the balls in a horizontal line, we can use the concept of permutations.

First, let's calculate the total number of ways to arrange the 12 balls without any restrictions. This is equal to the permutation of 12 balls taken all at once:

\[ \text{Total arrangements} = P(12, 12) = 12! \]

Now, let's consider the restriction that none of the red balls are adjacent. We can treat the red balls as a single unit and find the number of arrangements of this unit and the other balls.

There are \( (12 - 3 + 1) = 10 \) positions where we can place the unit of red balls among the other balls (including at the beginning and at the end). Then, within this arrangement, we can permute the remaining 9 balls (3 black balls and 5 white balls) among themselves. So, the number of arrangements where none of the red balls are adjacent is:

\[ \text{Arrangements without adjacent red balls} = 10 \times P(9, 9) = 10 \times 9! \]

Therefore, the probability \( p \) that none of the red balls are adjacent to each other is:

\[ p = \frac{\text{Arrangements without adjacent red balls}}{\text{Total arrangements}} = \frac{10 \times 9!}{12!} \]

Let's calculate \( p \):

\[ p = \frac{10 \times 9!}{12!} \]

\[ p = \frac{10 \times 9!}{12 \times 11 \times 10 \times 9!} \]

\[ p = \frac{10}{12 \times 11} \]

\[ p = \frac{5}{66} \]

So, the probability \( p \) that none of the red balls are adjacent to each other is \( \frac{5}{66} \).

Create a polite business email

For example: Dear Mr. Smith,

In the first paragraph, introduce yourself (your full name, title, and company), mention what brought you to this email (e.g., "I've been following your blog for a while now and wanted to connect"), and briefly summarize the purpose of your email (e.gy "I hope you can spare some time to discuss X").

In the second paragraph, state the main goal of your email ("My goal is to learn more about X"). This shows the recipient that you are taking initiative.

In the third paragraph, restate the problem succinctly ("The issue I'm facing right now revolves around X").

Now it's time to propose a solution ("Here's my idea on how we could achieve X"). Make sure you have carefully considered all possible approaches and limitations before sending this email. Remember, you want your recipient(s) to appreciate your thoroughness!

Finally, wrap things up with a request ("Would you be open to a short call next week?"). Don't forget to include your preferred time and date, and confirmation details (phone number, Zoom link, etc.).

Remember, there's no need to write an essay when communicating professionally. Keep your sentences clear, concise, and direct. The clearer your message, the better your chances of getting a favorable response. Good luck!

Subject: Request for Meeting to Discuss Potential Collaboration

Dear [Recipient's Name],

I hope this email finds you well. My name is [Your Name], and I am the [Your Position] at [Your Company]. I am reaching out to express my admiration for the work your team has been doing at [Recipient's Company].

I have been following your company's progress and am impressed by the innovative solutions you have developed in the [specific industry or field]. I believe that a collaboration between our companies could lead to mutually beneficial outcomes and further advancements in our respective fields.

I would greatly appreciate the opportunity to discuss this potential collaboration further. If it suits your schedule, I would be delighted to arrange a meeting at your earliest convenience. Please let me know a date and time that works best for you, and I will make the necessary arrangements.

Thank you for considering my request. I look forward to the possibility of working together and exploring the potential synergies between our companies.

Best regards,

[Your Name]
[Your Position]
[Your Company]
[Your Contact Information] 

Subject: Inquiry Regarding Product Availability and Pricing

Dear [Recipient's Name],

I hope this email finds you well.

My name is [Your Name], and I am reaching out to inquire about the availability and pricing of [specific product/service] offered by your esteemed company.

After conducting thorough research, I am particularly impressed by the reputation and quality that your organization upholds in the industry. Therefore, I am keen on exploring the possibility of incorporating [specific product/service] into our operations.

Could you kindly provide me with detailed information regarding:

1. The availability of [specific product/service].
2. Pricing structure, including any discounts or bulk rates available.
3. Any customization options or additional services offered.
4. Terms of delivery and payment methods accepted.

Additionally, if possible, I would appreciate any relevant product documentation or brochures that could assist me in understanding the features and benefits of [specific product/service] better.

Please feel free to reach out to me at your earliest convenience to discuss further or schedule a meeting if necessary. Your prompt attention to this matter would be greatly appreciated.

Thank you for considering my inquiry. I look forward to the possibility of establishing a mutually beneficial business relationship with your esteemed company.

Warm regards,

[Your Name]
[Your Position/Company Name]
[Contact Information]