biggest | simple utility for finding the largest files | Command Line Interface library
kandi X-RAY | biggest Summary
kandi X-RAY | biggest Summary
A utility for finding the largest directories and/or files in a given directory hierarchy. Biggest supports pretty printed and colorized output to the terminal:.
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Top functions reviewed by kandi - BETA
- Return a list of all the files in this tree
- Find the largest n files in the tree
- Get all children of this directory
- Remove an element from the heap
- Remove an element from the list
- Push element onto the heap
- Return the first element of the heap
- Clear rid of removed items
- Set this node s children
- Recalculate children
- Push an element onto the heap
- Get all children
- Return the total size in bytes
- Returns the size of the node
- Set the selected flag
- Prints a directory tree
- Print a single object
- Return a human readable human readable string
biggest Key Features
biggest Examples and Code Snippets
Lines of Code : 6License : Strong Copyleft (AGPL-3.0)
Copy/tmp/
├── [25 MB] a.zip
├── [15 MB] b.zip
└── /tmp/foo
├── [20 MB] c.zip
└── [10 MB] d.zip
$ pip3 install biggest
def get_two_max_value(obj, n=2):
return sorted(obj, key=lambda x: max(v for v in x.values()))[-n:]
value = [{'a': 0.864}, {'b': 0.902, 'e': 100}, {'c': 1.174}, {'d': 1.162}]
print(get_two_max_value(value))
powers = 1 << np.arange(bits.size, dtype=np.uint64)[::-1]
result = np.sum(powers * bits)
fastest_car = max(info, key=lambda car: info[car]['speed'])
speed_list = sorted((d['speed'] for d in info.values()), reverse=True)
info = {'car1':{'location':10,'speed':10},
'car2':{'location': 5,'speed':20},
'car3':{'location': 1,'speed': 5},
'car4':{'location':50,'speed':30}
}
cars = sorted(((v['speed'], k) for (k,v) in info.items()), revers>>> from collections import Counter
>>> Counter("care")
Counter({'c': 1, 'a': 1, 'r': 1, 'e': 1})
>>> Counter("race")
Counter({'r': 1, 'a': 1, 'c': 1, 'e': 1})
>>> Counter("care") == Counter("race")
Trueclass Client:
def __init__(self): # remove the argument after 'self'
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.server.connect(('localhost', 1234))
#...
#code before
class Client:
def __init__(self):
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
#other code
class Client:
def __init__(self, server=socket.socket(socket.AF_INET, sodef get_all_sols_faster(grid_size: (int, int), max_len: int) -> list:
sols = []
def r_sols(current_sol):
r_sol = [current_sol]
if len(current_sol) == max_len:
return r_sol
current_y = curreCommunity Discussions
Trending Discussions on biggest
QUESTION
I wrote this code :
...ANSWER
Answered 2021-Jun-15 at 13:14The condition in the while loop
QUESTION
ANSWER
Answered 2021-Jun-15 at 08:07If you have Excel365 then use below formula-
QUESTION
I'm trying to understand best practices for Golang concurrency. I read O'Reilly's book on Go's concurrency and then came back to the Golang Codewalks, specifically this example:
https://golang.org/doc/codewalk/sharemem/
This is the code I was hoping to review with you in order to learn a little bit more about Go. My first impression is that this code is breaking some best practices. This is of course my (very) unexperienced opinion and I wanted to discuss and gain some insight on the process. This isn't about who's right or wrong, please be nice, I just want to share my views and get some feedback on them. Maybe this discussion will help other people see why I'm wrong and teach them something.
I'm fully aware that the purpose of this code is to teach beginners, not to be perfect code.
Issue 1 - No Goroutine cleanup logic
...ANSWER
Answered 2021-Jun-15 at 02:48It is the
mainmethod, so there is no need to cleanup. Whenmainreturns, the program exits. If this wasn't themain, then you would be correct.There is no best practice that fits all use cases. The code you show here is a very common pattern. The function creates a goroutine, and returns a channel so that others can communicate with that goroutine. There is no rule that governs how channels must be created. There is no way to terminate that goroutine though. One use case this pattern fits well is reading a large resultset from a database. The channel allows streaming data as it is read from the database. In that case usually there are other means of terminating the goroutine though, like passing a context.
Again, there are no hard rules on how channels should be created/closed. A channel can be left open, and it will be garbage collected when it is no longer used. If the use case demands so, the channel can be left open indefinitely, and the scenario you worry about will never happen.
QUESTION
In the following example, how would one utilize flex classes to make columns no.3 and 4 the same height as columns no.1 and 2? Without Javascript, that is.
More specifically, how would I make the height of all columns change automatically to the height of the column with the biggest content?
...ANSWER
Answered 2021-Jun-14 at 18:22If you want to use it, there is a plugin for just that.
QUESTION
I have a table with customers that I join with a fact table with sales, based on invoices.
What I need from my report is to get in first part the biggest value of sales based on the incoming order type (1,2,3,C,D) for a customer for last year. And in the second part to get the same but for current year. What I get as result from my current query is all incoming order types with the customer revenue made for each of them. I tried with outer apply as subquery to get only the top 1 value ordered by revenue descending, but in the result I get the same - For all order types the customer revenue. Please help! I hope my explanation isn't understood only by me (happens a lot..)
...ANSWER
Answered 2021-Jun-10 at 13:38If you change the subquery to:
QUESTION
I am doing the Smallest possible sum Kata on CodeWars, which works fine for most arrays, but I get stuck when the algorithm is processing very large arrays:
Given an array X of positive integers, its elements are to be transformed by running the following operation on them as many times as required:
...
ANSWER
Answered 2021-Apr-22 at 16:26The good thing about your solution is that it recognises that when all values are the same (smaller === bigger), that the sum should be calculated and return.
However, it is not so good that you subtract the smallest from the largest to replace the largest value. You have an interest in making these values as small as possible, so this is like the worst choice you could make. Using any other pair for the subtraction would already be an improvement.
Also:
- Having to scan the whole array with each recursive call, is time consuming. It makes your solution O(𝑛²).
findIndexis really (inefficient) overkill for whatindexOfcould do here.- If you have decided on the pair to use for subtraction, then why not consider what would happen if you subtracted as many times as possible? You could consider what this means in terms of division and remainder...
- You can avoid the excessive stack usage by just replacing the recursive call with a loop (
while (true))
For finding a better algorithm, think of what it means when the array ends up with only 2 in it. This must mean that there was no odd number in the original input. Similarly, if it were 3, then this means the input consisted only of numbers that divide by 3. If you go on like this, you'll notice that the value that remains in the array is a common devisor. With this insight you should be able to write a more efficient algorithm.
QUESTION
I know there is Math.max(), reduce(), and even for loop:
ANSWER
Answered 2021-Jun-13 at 13:24To get the highest and the objects whose value is highest, you can match it with the value. If it is greater then you can replace the value.
You also need to maintain the dictionary i.e. dict that contains the objects.
When inserting the value in the dict be sure to first check if the key is already present in dict or not. If it exist then just push the value else create a new array with the value.
QUESTION
I was able to run my react app locally without issues, however when i deployed app to heroku I got OOM errors. It's not the first time I deploy the app, however this time I add OKTA authentication which apparently cause this issue. Any advise on how to resolve this issue will be appreciated.
...ANSWER
Answered 2021-Jun-12 at 09:13Try to add NODE_OPTIONS as key and --max_old_space_size=1024 in Config Vars under project settings
NODE_OPTIONS --max_old_space_size=1024 value.
I've found this in https://bismobaruno.medium.com/fixing-memory-heap-reactjs-on-heroku-16910e33e342
QUESTION
I am a fairly new Python user and have been using pandas and matplotlib to do some data analysis for my research. In particular, I have a data file with 3 sets of data inside: 2 column vectors and an array (see link here to google drive for a simple 3x3 sample of the same format:Sample data. In the end, I need to plot this as a 2D heatmap with the column vectors specifying x and y axis and the array filling my heat points.
I could use pandas.read_csv() with skiprows to do this for one file, but the dimension of each vector and array varies across all of the simulations I have run. Thus, I would have to find the start and end of each set of data for each different file. The biggest files I have are (229, 1), (229, 1), (229, 229).
My question is this: is there a way to specify a start and end to each set of data based on the formatting approach that my output files have? This could be done either into pandas dataframe or into arrays. I prefer dataframes only for the ease of performing computations before plotting.
Any help would be much appreciated!
...ANSWER
Answered 2021-Jun-12 at 03:01There are a lot of ways to do this, I think it's all about data preprocessing or cleaning.
Here's some tips:
- your 3 datasets in 1 file are split by '\n\n' (two continual \n), you can
open()it, then.read()all content, then.split('\n\n')it first. - for each split dataset, the first row is not important(or just has some name or (row,column) info), if they have some sort rule, you could simply skip it (maybe
.split('\n')[1:]). - for each split dataset, other rows is the data content, you can pass it to
pd._read_csvor something like that.
Hope these tips can help you.
QUESTION
I've spent the last hour doing some data entry and have hit a brick wall in Python now.
Basically I have a set of data in JSON, where I want to sum the values from field price to add up to a certain value (14.0 in my case). The final result should maximise the sum of the return field. Here's an example of my dataset (there are more teams and fields):
ANSWER
Answered 2021-Jun-11 at 12:33I use pandas to handle indexing data I didn't get if you can pick England twice in your example, but i went ahead as if you could, solving it using pandas and itertools, pandas can be omitted.
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Install biggest
You can use biggest 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.
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