wtr | 这里记录值得阅读有趣的技术内容 , 内容开源于 GitHub : xiaofuzi/wtr,欢迎提交 issue,推荐内容。 | Parser library
kandi X-RAY | wtr Summary
kandi X-RAY | wtr Summary
这里记录值得阅读有趣的技术内容, 内容开源于 GitHub: xiaofuzi/wtr,欢迎提交 issue,推荐内容。.
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QUESTION
ANSWER
Answered 2021-Jun-04 at 15:25The example JSON isn't valid. The last member of an object or the last element of an array shouldn't have a comma after it. So where you have:
QUESTION
I am doing some work for the university, in which I am asked to create a TCP socket that makes an HTTP request with OPTIONS
as a header and return the whole page in a variable.
The code I have made is the following:
...ANSWER
Answered 2021-Apr-10 at 20:10 wtr.println("OPTIONS / HTTP/1.1");
wtr.println("Host: " + url);
wtr.println("");
QUESTION
I have a csv file that look like this:
...ANSWER
Answered 2021-Feb-05 at 03:05If I understand you correctly, you want to add a time column to your csv file. The time column is to hold timestamps with a five minute interval.
I recommend using pandas when dealing with csv files, because pandas dataframes are so easy to manipulate. See the below code and let me know if it solves your problem.
QUESTION
I'm trying to modify an existing application that forces me to learn rust and it's giving me a hard time (reformulating...)
I would like to have a struct with two fields:
...ANSWER
Answered 2021-Jan-01 at 07:48It's not totally clear what the question is, given that the code appears to compile, but I can take a stab at one part: why can't you use into_inner()
on self.wtr
inside the process
function?
into_inner
takes ownership of the PacketWriter
that gets passed into its self
parameter. (You can tell this because the parameter is spelled self
, rather than &self
or &mut self
.) Taking ownership means that it is consumed: it cannot be used anymore by the caller and the callee is responsible for dropping it (read: running destructors). After taking ownership of the PacketWriter
, the into_inner
function returns just the wtr
field and drops (runs destructors on) the rest. But where does that leave the Something
struct? It has a field that needs to contain a PacketWriter
, and you just took its PacketWriter
away and destroyed it! The function ends, and the value held in the PacketWriter
field is unknown: it can't be thing that was in there from the beginning, because that was taken over by into_inner
and destroyed. But it also can't be anything else.
Rust generally forbids structs from having uninitialized or undefined fields. You need to have that field defined at all times.
Here's the worked example:
QUESTION
Rust beginner here.
I've been trying to learn the CSV crate but got stuck on the following case.
My goal is to:
- Parse a nested array
- Set column names to array values
- Write to CSV
Firstly here is the code that outputs exactly what I want it to.
...ANSWER
Answered 2020-Dec-12 at 23:31The error message tells you all you need to know - from_path
returns a Result
rather than a WriterBuilder
, because opening that file might not always work. That is different with from_writer
- no file needs to be opened, so no possibility of encountering an error.
To fix this, you can just use .unwrap()
, like you do with serde_json::from_str
the line below. This will cause a panic when an error was encountered, immediately terminating your program.
QUESTION
I'm currently trying to implement an ODE Solver with Pytorch, my solution requires computing the gradient of each output wtr to its input.
...ANSWER
Answered 2020-Nov-24 at 15:08You can use torch.autograd.grad
function to obtain gradients directly. One problem is that it requires the output (y
) to be scalar. Since your output is an array, you will still need to loop through its values.
The call will look something like this.
QUESTION
def get_NYSE_tickers():
an = ['A', 'B', 'C', 'D', 'E', 'F', 'H', 'I', 'J', 'K', 'L',
'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W',
'X', 'Y', 'Z', '0']
for value in an:
resp = requests.get(
'https://www.advfn.com/nyse/newyorkstockexchange.asp?companies={}'.format(value))
soup = bs.BeautifulSoup(resp.text, 'lxml')
table = soup.find('table', class_='market tab1')
tickers = []
for row in table.findAll('tr', class_='ts1',)[0:]:
ticker = row.findAll('td')[1].text
tickers.append(ticker)
for row in table.findAll('tr', class_='ts0',)[0:]:
ticker = row.findAll('td')[1].text
tickers.append(ticker)
with open("NYSE.pickle", "wb") as f:
while("" in tickers):
tickers.remove("")
pickle.dump(tickers, f)
print(tickers)
get_NYSE_tickers()
...ANSWER
Answered 2020-Sep-13 at 00:13import requests
from bs4 import BeautifulSoup
from string import ascii_uppercase
import pandas as pd
goals = list(ascii_uppercase)
def main(url):
with requests.Session() as req:
allin = []
for goal in goals:
r = req.get(url.format(goal))
df = pd.read_html(r.content, header=1)[-1]
target = df['Symbol'].tolist()
allin.extend(target)
print(allin)
main("https://www.advfn.com/nyse/newyorkstockexchange.asp?companies={}")
QUESTION
Often I need to process a directory of several CSV files and produce a single output file. Frequently, I rely on GNU parallel to run these tasks concurrently. However, I need a way to discard the first row (header) for all but the first job that returns output.
To make this concrete, imagine a directory of several CSV files like this...
...ANSWER
Answered 2020-Aug-29 at 09:09How about adjusting option 1:
Make the program take two arguments: file jobnumber
QUESTION
The program I am referring to is the second program shown in this section here. A small modification of it is:
...ANSWER
Answered 2020-Aug-04 at 07:01After sending quit
to bc
it terminates which closes the reading end of the pipe. Your next print $WTR $_
will then fail and generate the SIGPIPE
signal that terminates the program - unless you install a signal handler for it.
An alternative solution could be to check that reading from bc
after you've sent something to it succeeds:
QUESTION
I am trying to get an indicative measure of the maximum speed with which I can read and write a 'large' CSV file using Rust.
I have a test CSV file containing 100 million identical rows:
SomeLongStringForTesting1, SomeLongStringForTesting2
The size of this file on disk is 4.84GB.
I have written (mostly copied!) the following code which uses the csv: 1.1.3
crate:
ANSWER
Answered 2020-May-31 at 15:08You can get a pretty substantial improvement by following the performance tips in the tutorial you linked. In particular, the key is really to amortize allocations and avoid a UTF-8 check, both of which are happening in your code. Namely, your code allocates a new record in memory for each row in the CSV file. It also checks each field for valid UTF-8. Both of these have costs, but they do provide a fairly simple API that is decently fast as it is.
Additionally, one tip that isn't mentioned in the tutorial is to use csv::Writer::write_byte_record
when possible instead of csv::Writer::write_record
. The latter is more flexible, but the former constrains the input a bit more such that it can implement writes more efficiently in common scenarios.
Overall, making these changes is pretty easy:
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