Category archives: Uwizard ticket

By Mr. MysterioApr 11, Page 7 of OP Mr. Mysterio Super Genius. Level 7. Joined: Sep 16, Messages: Country:. Margen67 and TotalInsanity4 like this. Crazc GBAtemp Regular. Level 2. Joined: Apr 17, Messages: Country:. Oh, didn't release that's how the keys worked. Joined: Dec 31, Messages: Country:.

I know this may be a dumb question, but how and where do you get a Wii U key? Margen67 likes this. Level Joined: Dec 1, Messages: 10, Country:.

Margen67Mr. Mysterio and MarioBrosThe like this. Joined: Feb 17, Messages: 2, Country:. Mysterio and TotalInsanity4 like this. I've been looking at the tickets needed for NUS title decryption, and I now understand how it works. The ticket contains a bunch of unknown data that is not necessary for decryption. However, it does contain a 16 byte key that is required to decrypt the title. This title key btw, it's a different key than the disc title key is AES encrypted with the common key and the title id padded to 16 bytes is the initialization vector.

So, to sum up all the techno-babble, a 16 byte key is all that is needed to download a complete Wii U game from NUS. What I'm trying to do now is figure out a way to legally distribute those 16 byte keys for each game. For the Wii, the is a program called "MakeKeyBin. If you enter the number 42, it generates the Wii common key. I was talking about why it is legal hereand I actually disassembled the EXE and discovered that it really isn't legal.

The result would not contain the title key anymore. The only way to produce the title key would be using the common key. I hope that the legal argument would be that the XORed number is legal because the illegal common key is required to create another illegal key. Using this method, the person would only have to find the common key on their own, then Uwizard could use that to generate title keys for every game!To import a system key, open the settings tab, and enter the key in the text box, or click "Import" and select a.

To do this, you must enter the disc title key. The title version is optional.

WiiU Title Key DB

You may also decrypt and extract the contents of the title using Crediar's CDecrypt by checking the "Decrypt Contents" check box. Use the "Add Title" button to add the currently entered title ID and version to the list. Use the "Delete Title" button to delete the selected item from the list.

Use the "Clear List" button to remove all titles from the list. This includes titles that came pre-entered with Uwizard.

In the settings tab, the "Check for Updates" button makes updating to the latest game list and Uwizard versions easy. Spanish language added. Minor bug fixes. BFSTM multi-select and optional channel separation added. Command line interface added. More NUS titles added to the easy-access list.

Multiple languages added. BFSTM decoder added. List selection of Wii U games added. Wii U Buscar en. Uwizard is an all-in-one Wii U PC program. Instructions: To import a system key, open the settings tab, and enter the key in the text box, or click "Import" and select a. MP3 compiler added. Archivo anterior Loadiine GX2. Archivo siguiente CDecrypt.

uwizard ticket

Conectar Registrar.Using this tool, you can download, pack, and decrypt many system titles into WADs ready to install. This tool creates WAD files. Don't use this program if you are not sure of what it accomplishes. No warranty provided, no responsibility on me if you brick anything! Load the program, and enter a title ID and optionally a version number. For most general titles, check out the Title database. New to v1. To access this, simply click the database button in NUSD, and select a title based on category.

[Wii U] Extracting WUD Files using Uwizard

The NUSD database is stored in the database. It is a simple, formatted XML document. A separate page has been dedicated to the database, here you can find the latest copy as well as how to format the file. A lot of information is portrayed in the database icons for each title. Here's what the color codes represent:. Green: The title has a ticket available. Orange: No ticket is available. These titles are usually crucial to the Wii. The advice and source code provided by them made this program possible.

Releases post-v1. Once it inevitably spreads and becomes common place, I could embed the key. Many sites do not want any trace of it, so this build respects this request.Time of the First GoalIf a match is abandoned after the first goal is scored then all bets stand. If a match is abandoned before the first goal is scored then all bets accepted for time bands that have been completed will be considered losing bets and any other time band which included the time band of the abandonment will be void and treated as non-runners.

Time of First CornerBets are settled on what time the corner is actually taken (not the time it is awarded). Handicap Betting, Including In-Play (3-Way)Settlement will be at the odds displayed using the actual score in the match adjusted for the handicap. Half-Time Result, Including In-PlayBets will be void if the match is abandoned before half-time.

Half-Time Correct ScoreBets will be void if the match is abandoned before half-time. Half with Most GoalsBets will be void if the match is abandoned unless settlement of bets is already determined. Team Highest Scoring HalfPredict which half of a match that more goals will be scored in, by a specified team.

Bets will be void If the match is abandoned unless settlement of bets is already determined. Corners awarded but not taken do not count. Most Corners In-PlaySettled on the team who receives the most corners in the match, in the event of an abandonment then all bets are void.

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Race to X Corners In-PlaySettled on the team who reach the quoted number of corners first, in the event of an abandonment before 90 minutes have been played then all bets will be void unless settlement is already determined. In the event of an abandonment before 90 minutes have been played then all bets will be void unless settlement is already determined. Half-Time - Full-Time Double ResultBets will be void if the match is abandoned. Extra-time and penalty shootouts do not count.

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Mythical MatchesThese are imaginary games pairing two teams in a round of fixtures, for betting purposes only. The team which scores the most goals in their actual match is deemed the winner. Bets will be settled as a draw if both teams score the same number of goals. If either team's match is postponed or abandoned bets will be void. Match SpecialsUnless otherwise stated player specials are void if the player takes no part in the game.

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Bets are settled on the result at the end of 90 minutes play. Extra-time, golden goals or penalty shootouts do not count unless otherwise stated. Where more than one participant is quoted in a special, and non-runners are involved, the bet stands on the remaining participant(s) if a price is available. To Win Both Halves - The team must score more goals than the opposition in both halves of the match.

Team to Win From Behind - Team must be losing at any stage during the match but subsequently go on to win the match in 90 minutes. If a match is played at a neutral venue the team listed first is deemed the home team for betting purposes. In the event of a draw all bets are void and stakes are refunded. The other half of the stake is classed as a loser. The other half is refunded to the customer.

The other half is classed as a loser.

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Asian Corner HandicapsWhole corner or half corner handicaps - at the end of the match the handicap is applied to the final corner count and the team with the most corners after adjusting for the handicap is deemed the winner for settlement purposes.

If the number of corners for each team is equal after the handicap is applied, all bets will be void and stakes returned. Quarter corner handicaps - as an example 0. In the event of a match being abandoned before 90 minutes have been played then all bets will be void unless settlement of bets is already determined.

In the event of a corner having to be re-taken (e. Extra-Time Asian Handicap In-PlayNormal In-Play Asian Handicap rules apply but only goals in extra-time count. The score at the start of extra-time is deemed to be 0-0.

Asian Total CardsPredict the total number of cards in a match. The card line will either be a quarter-card, half-card or whole-card with bet settlement as follows:Card line of 4.You can also list all of your batch predictions. Your authentication variable should be set up first as shown above. Example: true importance optional Boolean,default is false Whether to include a column for each of the field importances for model and ensemble predictions.

That will add a column per field, named " importance". All the fields in the dataset Specifies the fields in the dataset to be considered to create the batch prediction. That is, when a missing value is found in the input data for a decision node. The options are: 0: last prediction predicts based on the subset of the data which reached the parent of the missing split. Alternatively, you can use ensemble, logisticregression or deepnet arguments.

Otherwise, BigML will predict the class with the higher confidence or probability (depending on the kind). For non-boosted ensembles, there is a third kind available: votes. None of the fields in the dataset Specifies the fields to be included in the csv file. It can be a list of field ids or names. It will only have effect if header is true.

Example: "Prediction" probabilities optional Boolean,default is false Whether to include the predicted class and all other possible class values for the batch prediction for the classification task. If enabled, the columns are included after the confidence score. Example: true probability optional Boolean,default is false Whether the probability for each prediction for the classification task should be added.

It's 1 by default. This is the usual default in some systems trying to detect anomalies (e. IDS and the like), and other uses of this combiner should probably not rely on our default value. Their use is deprecated, and maintained only for backwards compatibility. Example: true You can also use curl to customize a new batch prediction. For example, to create a new batch prediction named "my batch prediction", that will not include a header, and will only output the field "000001" together with the confidence for each prediction.

Once a batch prediction has been successfully created it will have the following properties. Creating a batch prediction is a process that can take just a few seconds or a few hours depending on the size of the dataset used as input and on the workload of BigML's systems.

The batch prediction goes through a number of states until its finished. Through the status field in the batch prediction you can determine when it has been fully processed. Once you delete a batch prediction, it is permanently deleted. If you try to delete a batch prediction a second time, or a batch prediction that does not exist, you will receive a "404 not found" response.

However, if you try to delete a batch prediction that is being used at the moment, then BigML. To list all the batch predictions, you can use the batchprediction base URL. By default, only the 20 most recent batch predictions will be returned. You can get your list of batch predictions directly in your browser using your own username and API key with the following links.Once you delete a dataset, it is permanently deleted.

If you try to delete a dataset a second time, or a dataset that does not exist, you will receive a "404 not found" response.

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However, if you try to delete a dataset that is being used at the moment, then BigML. To list all the datasets, you can use the dataset base URL.

uwizard ticket

By default, only the 20 most recent datasets will be returned. You can get your list of datasets directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your datasets. Imagine, for example, that you collect data in a hourly basis and want to create a dataset aggregrating data collected over the whole day. So you only need to send the new generated data each hour to BigML, create a source and a dataset for each one and then merge all the individual datasets into one at the end of the day.

NUS Downloader

We usually call datasets created in this way multi-datasets. You can merge multi-datasets too so basically you can grow a dataset as much as you want.

The example below will construct a new dataset that is the concatenation of three other datasets. However, there can be cases where each dataset might come from a different source and therefore have different field ids.

The first one would define the final dataset fields. Those will be the default resulting fields, together with their datatypes and so on. Then we need to specify, for each of the remaining datasets in the list, a mapping from the "standard" fields to those in the corresponding dataset.

In our example, we're saying that the fields of the second dataset to be used during the concatenation are "000023", "000024" and "00003a", which correspond to the final fields having them as keys. In the case of the third dataset, the fields used will be "000023", "000004" and "00000f".

The optypes of the paired fields should match, and for the case of categorical fields, be a proper subset. If a final field has optype text, however, all values are converted to strings. The next request will create a multi-dataset sampling the two input datasets differently. Each entry maps fields in the first dataset to fieds in the dataset referenced by the key. Setting this parameter to true for a dataset will return a dataset containing sequence of the out-of-bag instances instead of the sampled instances.

See the Section on Sampling for more details. Each value is a number between 0 and 1 specifying the sample rate for the dataset. Basically in those cases the flow that BigML. See examples below to create a multi-dataset model, a multi-dataset ensemble, and a multi-dataset evaluation. We apply the term dataset transformations to the set of operations to create new modified versions of your original dataset or just transformations to abbreviate.

Keep in mind that you can sample, filter and extend a dataset all at once in only one API request. Also when cloning a dataset, you can modify the names, labels, descriptions and preferred flags of its fields using a fields argument with entries for those fields you want to change.

See a description for all the arguments below. Dataset Cloning Arguments Argument TypeDescription category optional Integer The category that best describes the dataset. See the category codes for the complete list of categories. Example: "category": 1 description optional String A description of the dataset up to 8192 characters long.

Uwizard: All-In-One Wii U PC Program

Example: "description": "This is a description of my new dataset" fields optional Object Updates the names, labels, and descriptions of the fields in the new dataset. An entry keyed with the field id of the original dataset for each field that will be updated. Specifying a range of rows.Everything worked perfectly, from trains to boats to accommodations.

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