Posts

python - How do I make gmpy array operations faster? -

I am having trouble with speed while trying to use the GMP module. Import NMP as GMP 2 GM = N = 1000 A = Range (N)% Time [for Gmcene (X)) Import as GMP 2 in the 100 # Loop; Most Good 3: 7.3 9 ms per loop% time np esin (a) # 10000 loops, best 3: 198 us per loop I was thinking that I somehow speed up this calculation Can I give I was thinking that JIT or multi-processing can help, but I do not know how to do it. Any help would be greatly appreciated if you want to post me more information, please let me know. I was curious to see how much performance increase would be possible, so gmpy2 , which completely calculates sin of a list in C. Unfortunately, there was not much improvement. For the% timeit [gmpy2.sin (x)) 100 loops, the best 3: 4.85 ms per loop% timeit map (gmpy2.sin, a) 100 loops, best 3: 4.59 ms per loop% timeit gmpy2.vector (a) 100 loops, best 3: 4.44 ms per loop gmpy2 does not issue Global Interpreter Lock (GIL) Threading will not help Multiprocessing c...

How can buyer details be shown on paypal's order summary page? -

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Is the second information in the PayPal Order Summary page different from the product name and price only? I have a form that submits to PayPal and contains the buyer's email address and their name, I would like to show it on the summary page. Can someone please post a small snippet of that button code that will appear for it ? When the buyer login to your PayPal account during checkout, buyers will be able to see their email and shipping. Using Adobe Checkout Integration, you can use the API to obtain buyer information You can and can display on the Order Summary page. Your website (no, in PayPal checkout page)

c++ - how to delete the last line in a text file with 100M lines without having to rewrite the whole file? -

Let's say I actually have a large text file, say 100 million lines or 1 GB and I want to delete the last line. Is there any way to do 99.999 99 99 to rewrite the lines in the new file and do this to remove the old one? Suppose that the file is really big that the rewriting option is extremely expensive, what would you do to remove the last line? Thank you You can open the file, as long as you have the first line delimiter (normally LF or CR / LF, depending on the platform), calculate the offset file at that point, and.

python - How to "switch to one of the Agg backends"? -

I have the same problem, that is, when using matplotlib and networkx on Mac OS X 10.8.5, labels are not displayed Are there. The solution to that thread should "switch one of the AGG based backend" @ TCswell "should solve the problem by avoiding it" Can anyone tell me what it means / how it is To do? I'm sorry to start a new thread, but I do not have enough reputation to comment on the previous post or to ask any questions! If someone can merge this post and the last, it would be best thanks Bobby This should work (note that use should be called before importing a pipeline): import matplotlib matplotlib.use ('AG') Import as matplotlib.pyplot plt If you search for "agre" or "backend" then other questions have more details, e.g. EDIT: Sorry, maybe I did not understand what you are trying to do. As Sebix explains, Agg has a backend (i.e. non-participating plot) to plot a file, and if you want an interactive plot...

python - Point Cython to C source files -

मेरे पास Python, Cython और C को मिलाकर एक परियोजना है, जैसे: root | - स्रोत | - foo foo.c | - नाम name.pxd name.pyx | - शामिल करें | - foo foo.h setup.py बहुत सरल सामग्री के साथ: foo.h: शून्य जोड़ें (इंट, डबल *, डबल *, डबल *); "एफू / एफूएचएच" शून्य शामिल जोड़ें (इंट एन, डबल * ए, डबल * बी, डबल * सी) {के लिए (इंट आई = 0; आई & lt; एन; आई ++) सी [आई] = ए [आई] + बी [आई]; } name.pxd: "foo / foo.h" से cdef extern: शून्य जोड़ें (इंट, डबल *, डबल *, डबल * ) name.pyx: np cipport numpy के रूप में np cpdef cython_add (np.ndarray [np.double_t, ndim = 1] के रूप में numpy आयात करें , Np.ndarray [np.double_t, ndim = 1] B): cdef int N = min (एशप [0], बीशप [0]) सीडीएफ एनपी.एंडरेरे सी = एनपी.एंड्ररेय ([एन], Dtype = np.double) जोड़ (एन, & lt; डबल * & gt; A.data, & lt; डबल * & gt; B.data, & lt; डबल * & gt; C.data) वापस सी setup.py: Cython से distutils.core आयात सेटअप से। आयात साइथोनिक सेटअप (ext_modules = cythonize ("na...

angularjs - Add textarea control dynamically in Angular JS -

Please help me at the need with angle JS code below, The ADD button should be, when we click on ADD, I should add texture controls. I should be able to add unlimited number of texture controls by clicking on this ADD button. You can do this. This is the easiest way: plunker html: & lt; Div ng-repeat = "textArea in textAreas" & gt; & Lt; Textarea id = "maxlength_textarea" class = "form-control" maxlength = "225" rows = "2" ng-model = "textA.textbox" placeholder = "text box" & gt; & Lt; / Textarea & gt; & Lt; / Div & gt; & Lt; Button class = "btn btn-info" ng-click = "additional ()" & gt; Add more & lt; / Button & gt; In the admin : $ scope.textAreas = []; $ Scope.addMore = function () {$ scope.textAreas.push ({textBox: ""}}}}

node.js - Multiple requests asynchronously with same callback function -

var parseedUrl = req.body.parsedUrl; console.log (parsedUrl); Var विकल्प = {url: 'https://api.github.com/repos/' + पार्स्ड युल, हेडर: {'उपयोगकर्ता-एजेंट': 'अनुरोध'}}; Var विकल्प 2 = {url: 'https://api.github.com/repos/' + पार्स्ड युल + '/ रीडमे', हेडर: {'उपयोगकर्ता-एजेंट': 'अनुरोध'}}; फ़ंक्शन कॉलबैक (त्रुटि, प्रतिक्रिया, शरीर) {यदि (! त्रुटि और amp; response.statusCode == 200) {var info = JSON.parse (body); Thing.create (info, function (err, thing) {//console.log(info); if (err) {return handle error (res, err);} return res.json (201, बात);}); } Else {console.log ('github अनुरोध त्रुटि'); }} अनुरोध (विकल्प, कॉलबैक); अनुरोध (विकल्प 2, कॉलबैक); असल में, मुझे दो अनुरोध करने की आवश्यकता है ताकि मेरे प्रश्न निम्न हैं: 1. मैं उन दो अनुरोधों को कैसे एसिंक्रोनस async मॉड्यूल का उपयोग कर सकता हूँ। मैंने async.parallel का उपयोग करने की कोशिश की है लेकिन सिंटैक्स अनुरोध के वाक्यविन्यास के साथ अच्छी तरह से नहीं खेलता है क्योंकि...