Skip to main content

One Path to Bankruptcy for Replit

User trying to import a module that's not installed. Instead of bumping him and telling her to use a different workspace on which the module *is* installed, use compute resources to try and install.. nuts.. Starting with : from transformers import TFAutoModelForSeq2SeqLM, AutoTokenizer import gradio as gr model = TFAutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small") tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small") def gen_text(input_string, max_length):     inputs = tokenizer(input_string, return_tensors="pt")     outputs = model.generate(**inputs, max_length=max_length)     final_text = tokenizer.batch_decode(outputs[0], skip_special_tokens=True)     return (final_text) demo = gr.Interface(                                                          fn=gen_text,     ...
Post a Comment

Prime Factors of a Number in Python

Stub : 63 --> '(3**2)(7)'  You get the idea. The return needs to be '(p1**n1)(p2**n2)..(pk**nk)'

How? I admit my first shot was crappy - maintain a dictionary of powers. Then I saw the "best" solution : 


def primeFactors(n):
    ret = ''
    for i in xrange(2, n + 1):
        num = 0
        while(n % i == 0):
            num += 1
            n /= i
        if num > 0:
            ret += '({}{})'.format(i, '**%d' % num if num > 1 else '')
        if n == 1:
            return ret

Hokay, what's going on here? Really cute way of building up the string as you go along. But, he looking at all the numbers from 2 to n. Do you need to? The even numbers? :) Once you've extracted 2, you'll never need to consider an even number again. Then, to what extend to you need to go? Do you need to go past sqrt(n)? Take 21. You get 3 out of it and stop at 5 because that's close to sqrt(21). What are you left with after you extract 3? That's right! 7. So, just stop at sqrt(n) and look at what you have and if you have something greater than 1, that's the largest prime factor.

So :


def prime_factors(n):
    ret = ''
    for i in [2] + list(range(3, int(n**0.5+1),2)) :
        pow = 0
        while n % i == 0 :
            pow += 1
            n = n // i
        if pow > 0 : ret += '({}{})'.format( i, '**%d' % pow if pow > 1 else '' )
        if n == 1 : return ret
    return ret + '({})'.format( n ) if n > 1 else ''

Plagiarism? Yes. Something useful added? Probably :)

Labels:

Comments

Post a Comment

Popular posts from this blog

Align an Embedded Image in Jupyter Markdown

Nice thing is that you don't have to depend on the image existing as a separate file that you can refer to. You can embed it like an image in an email - you get the idea. Jupyter takes care of this for you in the .ipynb file. But, by default, the image is aligned center and is default size. What if you want to set the size? If it were an external file, then you can just resort to standard HTML. But, you want a fully self contained notebook. So? In one cell, above this one, NOT markdown, but code, have an HTML magic where you specify CSS that applies to this TAG. In the cell of interest, where you insert the image after doing Edit > Insert Image, change the "alt text" inside the [] to something the CSS style can refer to and you're done So, (1) looks like : %%html <style>     img[alt=bad_pie]{         float : left;     } </style> And, the cell with the image, when in edit mode, will look like : ![bad_pie](attachment:Capture.PNG) Than...
Post a Comment
Read more

openCV : Really Filtering by Color

The free openCV crash course : img_NZ_bgr = cv.imread('New_Zealand_Lake.jpg', cv.IMREAD_COLOR) b,g,r = cv.split(img_NZ_bgr) plt.figure(figsize=[20,5]) plt.subplot(141);plt.imshow(r, cmap='gray');plt.title("Red") plt.subplot(142);plt.imshow(b, cmap='gray');plt.title("Blue") plt.subplot(143);plt.imshow(g, cmap='gray');plt.title("Green") # merging imgMerged = cv.merge((b,g,r)) # original code : b,g,r plt.subplot(144);plt.imshow(imgMerged[...,::-1]);plt.title("Merged") Gives you : Coolie McVoolie. But, wait a minute! Are you really going to fall for that? Remember those "3D" glasses you got in magazines as a kid that let you see the page in 3D by using filters (each eye sees the picture from the required angle)? Meaning, if you're looking at the Red channel, you want to see : This! Right? How? Easy Make a blank channel (basically using NumPy zeros) Use that blank channel for the filtered channels, ...
Post a Comment
Read more

One Path to Bankruptcy for Replit

User trying to import a module that's not installed. Instead of bumping him and telling her to use a different workspace on which the module *is* installed, use compute resources to try and install.. nuts.. Starting with : from transformers import TFAutoModelForSeq2SeqLM, AutoTokenizer import gradio as gr model = TFAutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small") tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-small") def gen_text(input_string, max_length):     inputs = tokenizer(input_string, return_tensors="pt")     outputs = model.generate(**inputs, max_length=max_length)     final_text = tokenizer.batch_decode(outputs[0], skip_special_tokens=True)     return (final_text) demo = gr.Interface(                                                          fn=gen_text,     ...
Post a Comment
Read more