parakeet | Runtime compiler for numerical Python | Interpreter library
kandi X-RAY | parakeet Summary
kandi X-RAY | parakeet Summary
You should be able to install Parakeet from its [PyPI package] by running:. Your untyped function gets used as a template from which multiple type specializations are generated (for each distinct set of input types). These typed functions are then churned through many optimizations before finally getting translated into native code.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Evaluate a function .
- Build a kernel from a closure .
- F fuse an expression .
- Index a function .
- Compile a module source into a module .
- Return representation of prim call .
- Transform prim call .
- Combine two maps .
- Infer types from the given arguments .
- This function is used to create a binary image from the kernel
parakeet Key Features
parakeet Examples and Code Snippets
Lines of Code : 7License : Strong Copyleft (CC BY-SA 4.0)
Copyfrom time import sleep
from IPython.display import clear_output
def refresh_screen():
clear_output()
sleep(0.02)
import os
filename = "XC47566 - Tui Parakeet - Brotogeris sanctithomae.wav"
os.path.splitext(filename)[0].split("-", 1)[1].strip()
bird_name, bird_species = os.path.splitext(filename)[0].split(" - ")[1:3]
df1 = df.loc[df['Description'].str.len().groupby(df['Video_ID'], sort=False).idxmax()]
print (df1)
Video_ID Description
1 mv89psg6zh4 A faucet is running while a bird stands and is...
6 l7x8uimport json
datastore = json.load(open('/Referencedf.json', 'r'))
for d in datastore:
if d['caption'] is None:
print(d)
{'video_id': 'SKhmFSV-XB0_12_18', 'caption': None}
s = df.index.to_series().groupby(df['Video_ID']).apply(lambda x: x.sample(n=1))
# random unique
df.loc[s]
# rest of data
df.drop(s)
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import Time"no-symkey-cache"
For OpenPGP disable the passphrase cache used for symmetrical en- and decryption.
This cache is based on the message specific salt value. Requires at least GnuPG
2.2.7 to have an effect.
mask = [any(i in words for i in b['dirty_words'].values) \
for words in a['text'].str.split().values]
print(a[mask])
text
0 the cat jumped over the hat
2 i lost my dog in the fog
list1 = ['Dog', 'Cat', 'Monkey', 'Parakeet', 'Zebra']
list2 = [[True, True], [False], [True], [False]]
list3 = [[list1.pop(0) for j in range(len(x))] for x in list2]
print(list3)
#[['Dog', 'Cat'], ['Monkey'], ['Parakeet'], ['Zebra']]
list1 = ['Dog', 'Cat', 'Monkey', 'Parakeet', 'Zebra']
list_1 = iter(list1)
list2 = [[True, True], [False], [True], [False]]
new_list2 = [[next(list_1) for _ in i] for i in list2]
[['Dog', 'Cat'], ['Monkey'], ['ParaCommunity Discussions
Trending Discussions on parakeet
QUESTION
Working in Android, I have a table on a tab that I am pulling from an internal database. After entering data on another tab, I would like for the table to be updated to show the new records. Currently I am calling the following,
...ANSWER
Answered 2021-May-05 at 22:13If you keep adding rows to the TableLayout each time you call createDataTable without clearing the rows you added in a previous call to createDataTable then you will get this affect.
The solution is to call tableLayout.removeAllViews() at the beginning of createDataTable
QUESTION
I don't know the term of what I am trying to do, so I can't seem to find a similar answer.
I'm trying to make an array that looks like the following:
...ANSWER
Answered 2021-Feb-26 at 04:19Just create a step down loop on each level for bird, color and size. Then create a temporary container and continually merge it:
QUESTION
I've plotted point data of parakeet observations (fake for now) across the UK with the observations coloured by the population density of the area the observation was made in. I have a continuous scale bar as I want but the scale itself is awkwardly annotated. How can I plot it with more even dividers?
Here is the code:
############################ #PLOT OBSERVATIONS x POP_DENS ############################
...ANSWER
Answered 2021-Feb-17 at 10:47One strategy would be to make a column for the scale bar, with a metric that makes sense to you. For example,
QUESTION
I have a file name in a similar pattern as such: "XC47566 - Tui Parakeet - Brotogeris sanctithomae.wav"
and I want to extract the bolded portion. What is a way to go about this?
Clarification: most files have this pattern: XC##### - Bird name - Bird species. However, some files have hyphenated words such as here: XC22087 - Silky-tailed Nightjar - Antrostomus sericocaudatus
Thank you for everyone's help. I am not that familiar with using file extensions and so I really appreciate this
...ANSWER
Answered 2020-Jul-15 at 09:20you can split on one character:
QUESTION
The dataset I am using looks like this. It is a video captioning data set with captions under the column 'Description'.
...ANSWER
Answered 2020-May-02 at 11:38Use Series.str.len for lengths and then get index values by maximal per groups by DataFrameGroupBy.idxmax and last select by DataFrame.loc:
QUESTION
The data set I am using looks like this. It is a video captioning data set with captions under the column 'caption' with multiple captions for a single video clip.
...ANSWER
Answered 2020-Apr-25 at 10:29This happens if you have some incorrect data in the text being fed to the Tokenizer, as the error message suggests that it found some element to be None. So a cleanup in the data should be done to remove such cases.
You can see in the following snippet, that an entry has invalid text for caption.
QUESTION
The dataset I am using looks like this. It is a video captioning data set with captions under the column 'Description'.
...ANSWER
Answered 2020-Mar-27 at 18:15You can use groupby() to sample the index:
QUESTION
The following short Python script takes three command-line arguments: a passphrase, an input path, and an output path. Then it uses the passphrase to decrypt the contents of the input path, and puts the decrypted content in the output path.
...ANSWER
Answered 2019-Apr-17 at 23:58Digging in the C gpgme library (which is what the Python library you use is wrapping), there is:
https://www.gnupg.org/documentation/manuals/gpgme/Context-Flags.html#Context-Flags
QUESTION
I'm trying to write a code that identifies the eyes of parakeets. So far, i have managed to use a code that identifies the circles edges and got great results at a certain threshold. But i can't save the result image.
I've tried using imwrite('result.png', clone) to save the result at the end of the code, but when I run it I'm get TypeError: Expected cv::UMat for argument 'img'.
I need the clone image to be colored too, but I've no idea where to start.
ANSWER
Answered 2019-Feb-10 at 13:19I just tried this modification and it works flawlessly.
QUESTION
I'm writing a code that detects parakeets eyes. Currently, I'm using a already written code that i found on youtube. It's working great with the pictures that i have, but i don't know how to display a colored version of the selected area.
The results: (https://imgur.com/a/zCARrVC)
I've tried using masks and use cv2.drawcontourns to repeat the already drawn contour on them. It worked, but i couldn't make the mask overlap the original image and crop. I think it is because the contour wasn't filled, but i don't know for sure and i don't know if a filled contour won't mess up with the rest of the code.
...ANSWER
Answered 2019-Feb-10 at 01:09Like you said, you can create mask and then apply it on the RGB image. Here's some way to do it:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install parakeet
You can use parakeet like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
