pymetric is written by DistributedDataParallel which is different from fast-reid. Now mainly includes features such as arcface loss and circle loss, ongoing.
Add multicards feature extraction, searching topk and computing mAP.
Installation
Requirements:
NVIDIA GPU, Linux, Python3(tested on 3.6.10)
PyTorch, various Python packages; Instructions for installing these dependencies are found below
Notes:
pymetric does not currently support running on CPU; a GPU system is required
pymetric has been tested with CUDA 10.2 and cuDNN 7.1
cd $PYMETRIC && export PYTHONPATH=`pwd`:$PYTHONPATH
Datasets
Same with pycls, pymetric finds datasets via symlinks from metric/datasets/data to the actual locations where the dataset images and annotations are stored. Refer to DATA.md.
This repository contains the code of my Senior Thesis in which I explore how
Gated Graph Neural Networks can be used to predict class-level imports in Java
code. More specifically, I attempt to predict which classes (or, more properly,
compilation units) defined in a certain project currently under development
might be imported to a class newly defined in the same project given the new
class’s name and possibly initial import statements in that class.
Because the goal is to predict imports occurring within
a possibly unfinished project, one cannot gather enough import co-occurance
statistics to efficiently predict class-level imports. Instead, one must rely
exclusively on information that is locally available. To approach this problem,
I propose to model relationships between compilation units in a project with a
graph. A node in such a graph corresponds to a particular compilation unit.
An edge between two nodes marks some relationship between the two corresponding
compilation units.
Below is an example of such a graph build for one of the repositories in my
dataset. Grey undirected edges connect compilation units defined within the same
package. Black directed units correspond to import statements. Blue edges mark
class inheritance or interface implementation:
The code in this repository allows building such graphs for arbitrary GitHub
projects and running GGNNs on these graphs to learn to predict future imports in
a way similar to how Allamanis et al.
solve the variable misuse task (they work on the level of a small piece of code
and model relationships between variables, while I model relationships between
files\compilation units in the context of a repository). The initial comparison
between the baseline results I was able to achieve by other means
(see notebooks/Baselines.ipynb) suggest that GGNNs are well suited for this task. For more details on the way I use GGNNs, see README.md in the python directory.
Getting the Data
The data for this project can be obtained by running a set of SQL queries on
publicly available BigQuery Dataset. The README.md file in the SQL directory
contains detailed information about replicating this step and the criteria
used to select the data.
Data Preprocessing and Baselines
The raw data can be downloaded from BigQuery via GCS as a set of .json files
each of which will contain millions of lines of Java code. This code can be
parsed by running Parser.java (located in java/src) passing the name of one .json file as the first argument and the name of the output file as a second argument. You will need JavaParser to run this code.
Next, the data goes through a series of preprocessing steps. To replicate them,
run Filtering.ipynb and ConvertingToGraphs.ipynb notebooks. You might need the
following python libraries to run this code: pytorch, numpy, tqdm, joblib, networkx, sklearn, matplotlib, pandas
More information on data preprocessing and baselines used for import prediction
can be found in the README.md file in the notebooks directory.
Running the GGNNs
The detailed desription of the pytorch implementation of GGNNs used for this
project can be found in the README.md file in the python directory. The same
directory contains the python modules that define the network structure, the
loss function, and the way the data loader works. wrapper.py in the python directory contains an example of how the network could be run.
Dip Spray is a simple, user-friendly faucet application for the Aptos blockchain. It allows developers to request Aptos DevNet tokens for testing and development purposes with just a few clicks.
Features
🎯 Request Aptos DevNet Tokens: Deposit tokens directly to your account.
🔢 Customizable Quantity: Specify the number of tokens (up to 10) you need.
🚀 Real-Time Notifications: Get instant feedback on request submission and completion.
💡 Clean and Responsive UI: User-friendly design optimized for desktop and mobile devices.
Tech Stack
Frontend: React.TS, CSS, HTML
Backend: Aptos SDK for TypeScript
Notifications: React Toastify
Installation
Clone the Repository
git clone https://github.com/jAnubhav/dip-spray.git
cd dip-spray
Adds only Facebook Analytics to your Nativescript app not the full Facebook SDK.
This plugin is based on nativescript-facebook but only includes the Facebook Core Library which is needed for analytics. This way it reduces the bundle size by 86% compared to nativescript-facebook which includes the full Facebook SDK. If you want to learn more you may read this blog post.
Installation
tns plugin add nativescript-fb-analytics
Configuration
The following configuration is needed in order to get started with Facebook Analytics. In order to obtain a Facebook App-ID please refer to the official documentation.
import{h}from"hostic-dom"letdom=(<olclassName="projects"><li>hostic</li><li>hostic-dom</li></ol>)letprojects=dom.querySelectorAll("li").map((e)=>e.textContent).join(", ")console.log(projects)// Output: hostic, hostic-domdom.handle("li",(e)=>{if(!e.textContent.endsWith("-dom")){e.remove()}else{e.innerHTML="<b>hostic-dom</b> - great DOM helper for static content"}})console.log(dom.render())// Output: <ol class="projects"><li><b>hostic-dom</b> - great DOM helper for static content</li></ol>
In the second example you can see the special manipulation helper .handle(selector, fn) in action. You can also see HTML parsing works seamlessly. You can also parse directly:
Usually JSX is optimized for React i.e. it expect React.creatElement to exist and be the factory for generating the nodes. You can of course get the same effect here if you set up a helper like this:
The JSX factory can also be used to directly create HTML DOM nodes in the browser. Just create the h function and let it use the browser’s document object:
hostic-dom is also available via unpkg via https://unpkg.com/hostic-dom. The global name provided here is hosticDOM i.e. you can easily use it like this:
<scriptcrossoriginsrc="https://unpkg.com/hostic-dom"></script><script>const{ h }=hosticDOM// Your code here</script>
Misc
To set namespace colons in JSX use double underscore i.e. <xhtml__link /> becomes <xhtml:link />
To allow CDATA use the helper function e.g. <div>{ CDATA(yourRawData) }</div>
style attributes can handle objects e.g. <span style={{backgroundColor: 'red'}} /> becomes <span style="background-color: red" />
This project allows to run an assistance targeting categorisation. Elements from this script were insipired by a Microsoft tutorial
The different categories were defined based on the profiling study (Who?) and the result of the strategic discussion on targeting (What?) and allow to address the question on How assistance will be delivered.
This specific project focus on situation where 3 prioritisation categories are defined:
“full.allocation”,
“reduced.allocation”,
“no.allocation”
The categories are built from a series of variables collected through a sample-based survey. The objective is to be able to categorise the full population that is registered. The variable to predict comes from the survey while the predictors are the variable collected at registration level.
Walk-through
The information pulled out from the registration database through get_data_from_db.R. 1
Data are then reshapped to prevent imbalances within each modalities of the selected variable. This is done in feature.R.
The result of a vulnerability survey using measurement of food security is then merged with registration information. The dataset is separated in two parts one for training the model and the second to check its accuraracy, the dataset split allow to minimise the risk of model overfitting
In the next step, different models are trained through multi-classification-modeling.R.
The following algorithms are compiled and compared to generate prediction:
The resulting models can be eventually re-trained based on potential categories revision for cases where the targeting committe would redress cases categorisation.
The model is then applied to the registration registry in order to get the categories for each case: run-prioritisation.R
A script schedule.R is available to schedule the categorisation script on regular basis within the server – for instance at night…
A reproducible report (using Rmd) is prebuilt to provide an overview of the the targeting process: Prioritisation-report.Rmd
How to add new variable in the model?
Build the corresponding SQL SELECT query . You may test your query first directly within your SQL server. The query must aggregate (GROUP BY en SQL) existing information using the CaseNo (ProcessingGroupNumber within DB schema). If the query use a narrow format, it will need to be converted at a latter stage in a wide format so that CaseNo is unique key to execute the join (What is wide & tall data format?)
Add this new SELECT into the script: (in this example below, we call it query.new) append a new line in the script extract-query.R with something like the following:
query.new <- “SELECT ProcessingGroupNumber as CaseNO,
BLABLABLA as yourvariable
FROM yourtable
GROUP BY ProcessingGroupNumber “
Pull data from this database into the R session using the sqlQuery function in order to create the corresponding data frame . You will need to add a line around line 24 in get_data_from_db.R. (in this example below, we call it newpredictor). You will need to have configured your ODBC connection and set up your passord file pass.R before.
In case, newpredictor shape is a narrow one (meaning that CaseNo is not unique), you will need to reshape it. In this case, you have a specific variable that you will need to pivot the data (in this example below, we call it yourvariable) This is done through an additional line
merge( x = cases, y = newpredictor, by = “CaseNo”, all.x = TRUE )
or incase, the frame was pivoted:
merge( x = cases, y = newpredictor.wide, by = “CaseNo”, all.x = TRUE )
Feature engineering: the objective here is to look at the modalities for the new variable. All of this is done in script feature.R. See potential example below:
If you have a continuous variable, you will need to create a discretised version of it. The decision on the break to be used should allow to have relatively balanced or meaningfull classes. You can use the cut function
If you have a categoric variable, you may have modalities with very low frequencies or you may have too many modalities. You can re-encode modalities using the following (in this example below, the modality with low frequency is called rare and will be merge with another modality called frequent)
The last step is to retain your engineered variable in cases2 by adding it in the list at the end of the script
Subset data ready for analysis
cases2 <- cases[ ,c (“CaseNo”, … )]
Rebuild the prediction model and check their respective accuracy multi-classification-modeling.R — depending on your computer, be warned that this can take some time…. For this, you will need the file train.csv where you should have a variable CaseNo in order to do the join.
Adjust the prediction script run-prioritisation.R that feed the masterlist progrescase-last.csv generation together with the report Prioritisation-report.Rmd
Footnotes
Note an ODBC connection to the Microsoft SQL server where the data is stored shall first configured: this can be set-up through the dedicated windows utilitiy ↩
I knew nothing about sharks, maybe my understanding was like somebody else at first glance, they are dangerous animals due their size and force, still I never blame them nor thought they were bad animals as I always respect all species and know that we are all important here, every being have a role and required to keep a balance, so I never saw sharks as a monster that kill humans, beside what TV show us, still I was far from the reality…
One day I decided to order a stuffed shark, a gift to my girlfriend. And why a shark you may ask? Well, because I called myself a Shark when I was with her and always making fun with it. So, I was her “shark” and she became my “shark” too, then when we get away from each other she can have the shark as my representation to take care and not fell alone.
In the meantime, the shark arrives, I unpack and got something a bit different from photos, more like a small fishy spine, it was compressed and small, I admit that I expected better, still it’s a shark and would get the same love. I give it to her, she loved and call it Sharky.
Here’s the Sharky on arrival:
When we apart, she kept sending pictures with Sharky, either studying, watching movies or sleeping, she never left it and always take good care of it, as she said, the Sharky is my representation, so by taking good care of it, was somehow taking care of me…
I don’t know how, then overtime the Sharky started to reshape, gone from a small spine to a strong and robust shark with a sparking texture, that fin really starts to impress! I asked how? what you done? She replied: Nothing, I just give him love, and love makes everything stronger and more beautiful. That was a happy surprise and as time pass, we start to make a bound with that fin.
When we were together, she always brings the Sharky that stay with us, including in our expeditions, so that shark was a VIF already (Very Important Fin).
One day I decided to have my shark counterpart, a female shark as her representative, so we both would have a shark to fill a gap and build a history. Then I start searching for the perfect shark, I order the exact same model and size but in pink color. This time this shark arrives robust and a bit larger than the Sharky (As a woman representation you may know the problem here 😁). This shark I named Pinky have its own attributes but there’s no love like the first, still both got included on our expeditions with same love and care, we never left them. These sharks were not only our representation, they become something special in every way, a safe heven, just by look at them I get very relaxed, and stress goes away, they are just magical!
Meet Pinky:
She started an internship on a new location, temporary moved and of course she bring the Sharky to stay together. On the second month, she put the Sharky on the bag (while open) on the backs, and when moving from the car to the apartment an accident happen… She lost the Sharky on the street, somehow it jumps out of the bag and without any noise or warning she just enter home, left everything and start doing some stuff. She only noticed at night before bed, because both sleeps together, and the Sharky was no more on the bag. She starts to look everywhere at house, but is missing. Then she gets out in the middle of the night and replicated the steps back to car and while looking everywhere and asking nearby persons, but the Sharky was gone, no one was able to help and she even look inside garbage cans and ask to nearby buildings like restaurants if anyone see it. I wasn’t there, so she calls me, and when I answer the phone call she was in big panic and despair, crying for the first time (with me). I can’t understand what she was saying because of her panic, initially I thought myself: Some severe accident may happen, maybe with a car or family? I ask her to breath, calm down and try to talk with me. Then she told me: “I lost the Sharky” and started to cry loud again. I wasn’t expecting that, so I also get shocked and could not believe, but no way this can be a joke. I tried hard remain calm and strong, still broken from inside, I ask her to calm, and I made basic and logic questions, in an attempt to find it back, but of course she already attempts everything before call me. I told her to go sleep and tomorrow maybe with daylight she can find it, I was being optimistic to calm her but of course I had no believe in that, the more hours the less probable is to recover something.
In the next day she does, but as expected without any positive results, Sharky was really gone and we both were super sad. She knows how important that fin was to me, and she kept asking “I’m sorry”, also put in equation buy a new one, but that would not replace the Sharky and would always be something to remember us from this tragic event, plus the adventures we lived would be kind of forgotten and act as a new registry.
I could not conform with the fact of losing it, I thought: I must do something for him before stop and accept the fact I would never see it again, at least he will be proud of me by attempting and not quitting at first option! And so, I did… I prepared some posters, covers, tape, scissors, left everything and drive to her, of course the Pinky come with me but also as request as she miss the Sharky.
I arrived night and late, but I can’t just stand, so I take the time and started a group on Facebook (https://www.facebook.com/SharkyDT) in an attempt to reach out the maximum people I can, boosting the post in the region, because someone might have grab and keep it, and if the person sees this, he/she might return it. My biggest fear was if someone just pick it up and thrown in the trash or just cut it and it will be gone for real, or simply someone that was passing by that is from other region and would never see my posts, just by thinking in that possibility it hurts and still does!
In the next day we start to stick the posters on the street, lamp posts, nearby the location, playgrounds, etc. Was not easy to miss that big A4 paper with something different from usual, so I always had my hope that someone will see it and try to contact us. But time was passing without results. The people on Facebook most were jokers and making fun on the fact we are looking for a missing “toy”, but what they don’t realize is that objects can also have a sentimental value and be very important to someone, even if a rock if that matter on your life, so I answer and counter many people and they start to realize this was no joke or test.
The odds were small from beginning, my hope fall down and I had to return home, I felt bad by not able to find it and of course even if someone see my appeal, they can just keep it and remain in silence. The Sharky is so cute that is impossible to not like that fin and keep it. Also returning requires extra effort from people, and these days people become more careless.
I got home sad and hopeless, she insisted that we have done everything we can for the Sharky and whatever he is, he will be very proud for that. And maybe someone is getting good care of it, just like us. I also said that he was a very curious Shark and took the opportunity to explore the world but he gets lost from us. None of this actually made me feel better in fact. That shark was my joy and will be forever in my mind.
Few days has passed, she was in the last day of the internship, ready to get back home, and then I got a message on Facebook via the group, someone saying that saw my post and it’s in possession of the Sharky. I couldn’t believe, maybe another joke… So, I requested a picture to confirm that statement. Then I got it, it is the Sharky! I exploded with happiness!
As she was still there I call immediately to talk about, and of course she was so happy too that she couldn’t believe it. I arranged the meeting to get the Sharky back, it was a children’s institution, and in fact we were so near, meters away from the place we walk by! In the day of the loss a children saw it, rescued from the ground and kept it. Luckly a good worker saw it and contact me, we get it back on that same day, gave a donation for the two girls who have found it and a promise of a similar shark to become her shark. And so, I did, I order a new shark of same model and size and send it after a few days. The Sharky was recovered undamaged, but was a bit dirty from staying on floor, so he gets it first bath and recovers its shiny texture with grey and white colors! The Pinky was also very happy to get it shark mate back so they can play together once again and continue the tale together 🦈 Due the events this may not ended in a happy history but rather in a relief history with a happy ending.
Sharky after the recover:
Sharky and Pinky are inseparable, still thriving nowadays and I can’t imagine without them:
But this is not the end of the history…
Part 2
I’m really good in my area, but I never fell or had an objective in my life, all my life I kept learning stuff and more we know more we see everything is pointless and a pain here, so I really didn’t care about me nor to what can happen to me, I was already dead from inside and lost! Then the Sharky found me and I found him, all this connection led me to start learning about these magnificent animals that I didn’t know about, so over the years I start to learn more and more about Sharks, I saw all documentaries I found, I searched information about their bodies on the internet, I brought a book, etc… As I go, I started to admire Sharks more and more, I was just fascinated. Now I just think, it’s impossible to not like them after you really know them, they are really special and awesome!
Sharks are here for much longer than us, dinosaurs and trees, in fact with about 450 million years they may be one of the oldest species here that survived all massive extinctions in that lifespan. With all this evolution time is impossible to not be special, they hold the best immunity system and their body is just perfect for the environment, the way they swim in water it’s just mesmerizing by how efficient they are. And just like other animals they have feelings, can fell pain, can have better and worse days, some learn faster than others, most are shy and they are self-aware. Also, they accept all animals nearby, including us, they are not territorial but very intelligent, they could be kings and reign, but they know ocean belongs to no one and everyone at same time, in this aspect they are much more intelligent than us.
Sharks are part of our life support, as they keep ocean healthy and balanced, so they have a very important role here, life can continue without us, but not without sharks, this show us how sharks are really important. Man thinks it’s superior over all in some way, I don’t believe in that, we all deserve same respect and, in the end, we are all equal being different.
What makes me so sad just like losing the Sharky, is what we are doing to these animals, it must be a privilege to be Shark, but in this world is a sad and not fair thing. Sharks kills about 8 to 10 humans in accident per year, while we are killing sharks at a stupid rate, at ±100 million per year and about 10% of remaining population, someday sharks will be gone forever. If we think in numbers, and as they are amazing evolutions that survived mass extinctions with ±450M years, yet they are barely surviving to us for 20 years, really, what is that sad reality!?
Away from everyone eyes there are crude practices of removing the fin while still alive (Finning) and discard the body into water, most die drown in agony, and while fin is removed, they can’t scream as they have no vocals, so it’s even worse as they suffer in silence away from all people eyes. Keep in mind fish are not painless, they have long and very sensitive organs with hundreds of times more sensitive than our senses, they react to pain!
But this is just the tip of iceberg, the finishing alone kills more sharks, and even if we never touch a shark, we are killing sharks by eating fish and pay taxes that goes into fisheries. The aggregation devices are wiping a ton of other animals just to catch one specie, that is not an accident as they call it “Bycath”, they know what species are near what so they already know the consequences beforehand. Not to tell the nets are harvesting ocean floor making a huge impact on balance and O2 production, plus killing other animals that get stuck on left behind nets. This is the biggest pollution nowadays and almost no one talks about it.
There are many other problems as well, like:
Movies and TV shows
Fiction is fiction (period). The human stupidity run like possessed on the next day after “a” movie release to kill sharks because they are bad man eaters 🤦
There’s no problem on fiction, but people must realise, it’s fiction!
And this kind of stuff creates misinformation a real problems.
Shark in aquarium:
It might sound very cool to have a shark on your room, for sure your friends will praise you, but how about invert the pappers? Would you like it? Just think about…
No friends, always the same space, chemicals and dirty water, lack of care, lonely and artificial life, what is cool about this? They have fellings too! No to tell most are abandoned/miscare once they grow.
Shark fishing for sport:
I will never understand where is the honor on this, really, if you want to be the hero in your own village, take a photo in water with a living shark! A dead animal is not a funny thing! Plus sharks are always good looking and photogenic, no way to be ugly with them.
Sport finishing/hunting, killing animals for fun and sport should be a crime everywhere and abolished!
Fishing:
Finishing and catch sharks by accident is another problem, even when released they will get a hook stuck, they can fell pain! And it’s not cool to have one stuck on thier mouth. And for how long!?
Shark based products:
We kill sharks for health products (sorry, for stupidity), the most stupid part is that the products do not have benefits to us…
We are the real plague in this world, we will be our own cause of death and extinction. Most of our environmental problems can be solved by leave the ocean alone and not interfere with it. It’s not hard to recover but political and money interests will come first and ruin what we have best here.
Ocean is not our property, ocean belong to these marine animals, if we step inside is our problem not otherwise!
All we deserve, someday a superior race come here and do the same to us just because they can, wasting lifes without a good use. Even then, i still think we will never learn.
Who I am today?
Today almost everything in my life is based on Sharks. I can tell you, even the shower curtains have cute shark drawings, but those have been since ever, much before I meet the sharks, so it was the faith already.
Sharky gave me a gift, a passion and the chance of knowing/learning about these animals. I never saw nor be with a real shark yet, but today I fight for them! I can’t just stand on my chair knowing and ignoring the facts, so I do what I can here, which is informing people about these amazing animals and what we are doing to them, I do complete sessions about sharks, the problems and possible solutions. I share the fin word. Most people don’t know about them nor the sad reality, and after they attend, I hope to change some minds, in fact the feedback has been positive and people start to look to these animals with other eyes. The misinformation and TV shows ruined the Shark reputation, education is essential to overcome this. Shark bodies and systems are so amazing that they should be in school lectures and books, we are skipping a real tressure and a lesson of life here.
The appeal 🙏
For people who know about sharks:
Share your information about them with the people who you like to talk, even a small fact or a cool thing about sharks can make the difference, and really, after know sharks it’s really impossible to not like them, they have something special that catch our attention, I think we are hypnotized by the shape and fin…
For people who have a depth knowledge in sharks:
If you not already, and have the time, do like me. We need more people sharing this with the world. We need help to save the sharks.
For people who don’t know about sharks:
I highly recommend research and learning about these animals, even if lightly I can promise, it will worth the time. Plus, sharks can help you, I have no study on the matter, but I’m convinced that they can help fight stress on people with high efficiency, try to see a relaxing video about sharks, you will be amazed and in a great comfort feeling, they are really special! To see how amazing and mesmerizing they are, most people attacked by sharks will ask why and do some research on it, most of those persons are now the biggest shark defenders and supporters, it’s impossible to keep hate such animal and even that people will fall in love with sharks after know really them. Who knows, you may also get a stuffed shark to get you the same peace as it gives to me. But if you can, do shark diving to get the best experience in your life.
How to save sharks?
We need to leave ocean alone for effectively do that, the most efficient way is stop to eating fish which are already polluted and poisoned for our body.
This is the only way to end with finishing, if no interest in fish, no one will mass fishing, because everything is arround the evil money. And then ocean will explode once again full of life!
Protect species, areas, routes, population, protect the ocean are the another ways, but who cares? Where is money there are exploration.
Actually less than 1% of ocean is protected, what a shame! Our number 1 life support is the most neglected thing.
93% of the CO2 is stored in the ocean, and 85% of our breathing oxygen is produced in the ocean, so you see the importance here?
If you want to discuss and talk about sharks, I have created a forum which anyone can participate: https://github.com/sn4k3/Sharky/discussions
You can even share your own history.
👨🏫INTERFACE “LOJA DE VENDA DE RELOGIOS” COM HTML/CSS/SCSS.
DESCRIÇÃO
Este é um aplicativo web de uma loja de vendas de relógios, onde os usuários podem visualizar uma coleção de relógios disponíveis para compra. A página inclui detalhes e descrições dos produtos, imagens e links para compras externas. O site utiliza HTML para estrutura e conteúdo, e SCSS para estilização, garantindo um design moderno e responsivo.
Visualização de Produtos:
A seção principal apresenta uma coleção de relógios, com imagens, títulos e descrições detalhadas.
Cada produto possui uma lista de características específicas sem marcadores, facilitando a leitura das especificações.
Detalhes dos Produtos:
Relógio Tommy Hilfiger Masculino Aço:
Descrição detalhada incluindo código, cronógrafo, datador, garantia, mecanismo, modelo, resistência, sugestão de uso e tamanho da caixa.
Lista de características principais, incluindo pulseiras, carregador, sistema operacional, conectividade e funcionalidades.
LIGE Cronógrafo Masculino Esportivo:
Detalhes do produto, incluindo dimensões, data de disponibilidade, fabricante, referência e departamento.
Rodapé:
Inclui uma mensagem de direitos autorais e a autoria do projeto.
EXECUTANDO O PROJETO:
Apenas Executar:
Para usá-lo, basta apenas executar o arquivo: ./CODIGO/index.html no navegador da sua preferência.
Acesse a página inicial onde encontrará o título “VENDA DE RELÓGIOS” no cabeçalho.
Utilize a barra de navegação para acessar diferentes seções da loja. Os links direcionam para produtos específicos:
Tommy: Redireciona para um relógio Tommy Hilfiger.
Smartwatch: Redireciona para um relógio inteligente Wearzone Horizon 4G.
LIGE: Redireciona para um relógio cronógrafo masculino da LIGE.
Editar o CSS:
Para Compilar o SCSS para CSS, Apague os arquivos ./CODIGO/css/main.css e ./CODIGO/css/main.css.map, Execute o comando no terminal (Dentro do diretório ./CODIGO):
sass --watch scss:css
NÃO SABE?
Entendemos que para manipular arquivos em HTML, CSS e outras linguagens relacionadas, é necessário possuir conhecimento nessas áreas. Para auxiliar nesse aprendizado, oferecemos cursos gratuitos disponíveis:
