werd | Chris Pound 's word generator
kandi X-RAY | werd Summary
kandi X-RAY | werd Summary
A variant of Chris Pound's word generator written in Ruby, with some improvements.
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QUESTION
I have a page where I try to add a border with a width of 3px to a button, but it just doesn't show. I've tried everything I know but can't get it to work.
The page where I can't get it to work is this one: https://capsulehotel.ch/produkte/ (It's the buttons with the text "WERDE HOTELBESITZER", "LIEGENSCHAFT ANBIETEN",...)
This is the CSS code I've tried:
...ANSWER
Answered 2021-May-17 at 07:25You have missed border style
i.e border-style: solid;
Instead of doing:
QUESTION
TL;DR: My model always predicts the same labels and I don't know why. Below is my entire code for fine-tuning in the hopes that someone can point out to me where I am going wrong.
I am using Huggingface's TFBertForSequenceClassification for sequence classification task to predict 4 labels of sentences in German text.
I use the bert-base-german-cased model since I don't use only lower case text (since German is more case sensitive than English).
I get my input from a csv file that I construct from an annotated corpus I received. Here's a sample of that:
...ANSWER
Answered 2021-Jan-12 at 09:01You trained for a couple of minutes. It is not enough even for pretrained BERT.
Try to decrease learning rate to get your accuracy increasing after every epoch (for the first 10 epochs). And train for more epochs (until you see the validation accuracy decreasing for 10 epochs).
QUESTION
I'm trying to make a survey for a school project with Python, and I've been trying to generate some questions about the well-known Trolley Problem, but it doesn't work.
The variables don't show up, even though I'm using a "for" function. The selection length does work; I'm not getting the error message. The randomly chosen variables just don't show up.
The
tags do show up and are there a random (1-4) amount of times every time I refresh.
!! kwant is short for quantity, sel is short for selection, mens translated is human !!
Code: (Python with Flask)
...ANSWER
Answered 2020-Dec-24 at 13:43Your lists sel1
and sel2
contain strings. Yet, in your HTML template, when you refer to those lists, you try to access a non-existent content
attribute. Strings in Python have no such attribute.
Hence, where you have:
QUESTION
I am trying to iterate through my questions and lines in my .txt file. Now this question may have been asked before, but I am really having trouble with this.
this is what I have right now:
...ANSWER
Answered 2020-Dec-19 at 18:30Your f
is just an open file which is exhausted the first time through. I think you meant this:
QUESTION
I have been debugging this and started losing hair. So far I haven't found a solution yet. This the Teaser
component. I was initally writing tests for Home
component, but it had some errors because of styled-components, so my techlead told me to write tests for this new Teaser
component (which is the component that was new in Home
component), because maybe it is having some effect. When running the Teaser.test.tsx
I get this error (related to keys):
ANSWER
Answered 2020-Sep-30 at 05:45Likely related to tunesTeasers.map
. A react key needs to be on the outer-most element mapped, the Fragment
in this case. The teaser link appears to be unique within the set, but if it isn't, you may need to provide a unique id property to the elements to use as a react key.
QUESTION
When i'm hitting the export button, i would like to download data that I've obtained from my php file. The only problem is: when i'm hitting the button the file csv file is generated but it says: file could not be opened, Failed-forbidden
HTML CODE:
...ANSWER
Answered 2020-Sep-11 at 12:04Since you are doing a POST, you will need to just return the content of the file from your PHP code and in the success event, do this:
QUESTION
I just started learning web scraping with Python 3, and I am trying to apply it in a small project which consists of extracting data from job listings. I did look for answers and found some questions which touched a somewhat similar subject, but none of them seemed to have the exact same use case - at least that is my understanding.
I extracted company URLs from the search results of a website and appended the company URLs in a list named sitelis. Then, I looped through sitelis to extract the json data from each of the company URLs. However, I have a problem to retrieve the json data from some of the company URLs (see traceback: json.decoder.JSONDecodeError: Invalid \escape) - while the large majority URLs work just fine. Any idea what could cause this? I am a bit lost since 90% of the URLs work fine, and for those few which do not parse correctly I cannot find any differences which would explain it.
Thanks a lot for your help!
Here is an example of such an error:
This is the traceback:
...ANSWER
Answered 2020-Aug-28 at 20:23Uns ist wichtig, dass wir uns aufeinander verlassen und uns vertrauen können. Jede*r bei STORMING ist ein wichtiger Teil des Unternehmens, trägt Verantwortung und unterstützt aktiv unser Wachstum. Aus diesem Grund suchen wir nach loyalen Mitarbeitern*innen mit hoher Motivation. Darüber hinaus ist uns folgendes wichtig:
That is line 53 in the non functional example you have. I see a non escaped colon at the end of the line, which the JSON parser might treat as a key:pair delimiter. If this is the case, would possibly explain the error and you would need some type of sanitizer to capture and properly escape these.
Not sure if that is something built in, or if you would need to make your own. Maybe someone else can offer a solution to how to handle that.
I also see the same thing on line 63
Für uns sind faire Bezahlung und geldwerte Vorteile eine Selbstverständlichkeit. Doch auch darüber hinaus ist unser Ziel, einen Ort zu schaffen, an dem Menschen sich gern aufhalten und sie selbst sein können.Zusammengefasst bieten wir dir:
QUESTION
In an earlier question (Teacher-Student System: Training Student With k Target Sequences for Each Input Sequence), I wanted a teacher machine translation (MT) model to perform an online search during the training of a student speech translation (ST) model, to generate multiple targets per input sequence for the student.
Now, in the hope to speed things up, I want the teacher to perform the search offline. So, I let the teacher generate a hypothesis file containing the output of its ChoiceLayer
.
My plan is to use these hypotheses and the ground truth as target for the student. So, for each input sequence from source.train(.gz)
there is the ground truth target coming from target.train(.gz)
and one or multiple teacher hypotheses coming from teacher.train.hyp
.
In my online search config, I simply registered the teacher’s Data
coming from its ChoiceLayer
as extern_data
. Since the Data
contained a SearchBeam
, RETURNN automatically regarded that the target Data
consists of multiple sequences (this feature was added with issue Targeting Beam as Training Target Causes Dimension Error #304). I want a similar automatism in my offline search solution.
My question is, does RETURNN already have components, with which my plan could be achieved, or do I have to write an extension for that? If I have to extend RETURNN for that, does anybody have recommendations on how to do that? (E.g. I thought about writing a special TranslationDataset
subclass)
EDIT (15.8.2020):
First, let me answer Albert's question, on how my data currently looks like (which is subject to change, of course):
Currently, I don't make use of HDF files or HDFDataset
. I use MetaDataset
to combine an ExternSprintDataset
and TranslationDataset
to combine the ASR and the MT (ground truth) data for my ST student, but yet I'm not at the point where I load the teacher's hypotheses from any persistent data format.
However, I've dumped the teacher's hypotheses by simply selecting its ChoiceLayer
(decoder output
) as search_output_layer
. Then, on search, RETURNN creates a text file (in my case I chose teacher.train.hyp
), which contains the hypotheses per input sequence stored, basically as a string-serialized Python-dict, like this:
ANSWER
Answered 2020-Aug-15 at 13:32RETURNN already has all the code/components to support that, but maybe it is currently not so nice. RETURNN of course will not know, when you load the hyps from teacher.train.hyp
, that this is actually a beam (or supposed to be a beam). You could explicitly tell it, e.g. via EvalLayer
(just identity, but you would specify out_type
). But this depends how you have your data.
I actually wonder, how exactly is it stored in teacher.train.hyp
? How did you store it? You used HDFDumpLayer
on the search output? That included the beam, right? I just checked the HDFDumpLayer
code, and I think, it will just ignore the beam. I.e. it effectively would store every sequence (identified by seq-tag) N times.
If that is the case, when you load that HDF file, it doesn't know about that. I wonder, when you combine it now with MetaDataset
, doesn't it complain that the datasets don't have the same amount of sequences? But even if not, it probably ignores N-1 of the seqs, and just takes one of them.
So there are multiple questions:
How you actually would want to store the seqs?
- What file format? HDF? Or what comes out from search, i.e. the Python format you specified?
- In what (shape/logical) format? How exactly? E.g. flatten all seqs behind each other? Then you also need to store the individual seq lens. Or how else? With padding? Whatever...
- I assume you would want it to be compatible to the
HDFDataset
, right?
How would you load the seqs?
- Depending on file format:
- If you have it compatible to
HDFDataset
, so you would use that, as part of aMetaDataset
. - For the Python format of the search results, there is no dataset currently which can load/read that data. But we/you can of course implement such a dataset.
- If you have it compatible to
- Now, depending on how the shape/logical format is, you would need to undo that (e.g. undo the flattening, e.g. via
UnflattenNdLayer
).
- Depending on file format:
How to tell RETURNN to use that as beam.
The last question is actually the most trivial question of all of them, and very much depends on the other questions. E.g. it could look like this:
QUESTION
import java.util.HashMap;
import java.util.Iterator;
class L6ex1pt2 {
String line = "When I was there, it was there"; //works for Strings with all unique words
//but not for Strings with repeated words (like this)
public static void main(String[] args) {
L6ex1pt2 test = new L6ex1pt2();
HashMap hash = new HashMap();
hash = test.countWords(test.line);
}
public String[] words(String s) {
String[] words = s.split("\\s+");
return words;
}
public HashMap countWords(String s) {
HashMap wordCount = new HashMap();
String[] werds = words(s);
for (String w: werds) {
if (wordCount.containsKey(w)) {
wordCount.put(w, wordCount.get(s)+1);
} else {
wordCount.put(w, 1);
}
}
return wordCount;
}
}
...ANSWER
Answered 2020-Jul-21 at 13:25Line 25
wordCount.put(w, wordCount.get(s)+1);
should be
wordCount.put(w, wordCount.get(w)+1);
Since s contains the whole string and not the word you expect for the hashmap key.
QUESTION
When using acronyms from glossary by:
...ANSWER
Answered 2020-Jul-10 at 21:13I would not use such a composite word when you first define an acronym, people might assume the acronym would stand for the hole composite word. However if you really must use it like this, you could use something like the following workaround:
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