inception | Inception movie

by karthick18 C Version: Current License: No License

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kandi X-RAY | inception Summary

inception is a C library. inception has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.

Programmatic representation of the Brilliant movie: INCEPTION by the Genius Director THY name is Christopher Nolan! My tribute to Nolan in "C" Language and a bit of assembly (x86) as the inception is done using x86 code morphing so that Fischer wakes up thinking that the thought was originated from his mind. Running the program would unravel the entire sequence in the movie. Reading the code would explain the movie Programmatically.

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inception has a medium active ecosystem.

It has 783 star(s) with 52 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of inception is current.

Quality

inception has 0 bugs and 0 code smells.

Security

inception has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

inception code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

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inception does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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Community Discussions

Trending Discussions on inception

org.hibernate.tool.schema.spi.CommandAcceptanceException: Error executing DDL "create table movie

Conditionally populating a new column in Python

How to get both logits and probabilities from a custom neural network model

Can I train my pretrained model with a totally different architecture?

AttributeError: 'tuple' object has no attribute 'loc' when filtering on pandas dataframe

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() with .loc

UserWarning: This pattern is interpreted as a regular expression, and has match groups

2D Array Filter based on hash key

How to fix / debug errors (invalid arrayify value) when deploying a solidity contract in Remix

Normalizing nested JSON object into Pandas dataframe

QUESTION

org.hibernate.tool.schema.spi.CommandAcceptanceException: Error executing DDL "create table movie

Asked 2022-Apr-03 at 09:39

I've a spring boot application which run sql on H2 to create database table during startup. The project is in github here.

I've Entity called Movie.java

The sql that I'm running is below and on github here -

...

ANSWER

Answered 2022-Apr-03 at 09:39

The main problem is probably "movie" as table-name incl the "

So this should work

schema.sql:

Source https://stackoverflow.com/questions/71723037

QUESTION

Conditionally populating a new column in Python

Asked 2022-Mar-29 at 03:27

I have a table that looks like the following:

...

ANSWER

Answered 2022-Mar-29 at 03:27

You can use str format for the query

Source https://stackoverflow.com/questions/71655741

QUESTION

How to get both logits and probabilities from a custom neural network model

Asked 2022-Mar-21 at 12:55

The following source code could get both probabilities and logits from an imagenet pretrained model in Tensorflow

...

ANSWER

Answered 2022-Mar-21 at 12:55

IIUC, you should be able to do this directly the same way:

Source https://stackoverflow.com/questions/71557494

QUESTION

Can I train my pretrained model with a totally different architecture?

Asked 2022-Mar-15 at 12:57

I have trained a pretrained ResNet18 model with my custom dataset on Pytorch and wondered whether I could transfer my model file to train another one with a different architecture, e.g. ResNet50. I know I have to save my model accordingly (explained well on another post here) but this was a question that I have never thought before.
I was planning to use more advanced models like VisionTransformers (ViT) but I couldn't figure out whether I had to start with a pretrained ViT already or I could just take my previous model file and use it as the pretrained model to train a ViT.

Example Scenario: ResNet18 --> ResNet50 --> Inception v3 --> ViT

My best guess it that it's not possible due to number of weights, neurons and layer structures but I would love to hear that if I miss a crucial point here.
Thanks!

...

ANSWER

Answered 2022-Mar-15 at 08:56

Between models that only differ in number of layers (Resnet-18 and Resnet-50), it has been done to initialize some layers of the larger model from the weights of the smaller model's layers. Inversely, you can truncate a larger model by taking a subset of regularly spaced layers and initialize a smaller model. In both cases, you need to retrain everything at the end if you hope to achieve semi-decent performances.

The whole point of using architectures that vastly differ (vision transformers vs CNNs) is to learn different features from the inputs and unlock new levels of semantic understanding. Recent models like BeiT also use new self-supervised training schemes that have nothing to do with the classic ImageNet pretraining. Using trained weights from another model would go against the point.

Having said that,if you want to use a ViT, why not start from the available pretrained weights on HuggingFace and fine-tune it on the data you used to train your ResNet50 ?

Source https://stackoverflow.com/questions/71470169

QUESTION

AttributeError: 'tuple' object has no attribute 'loc' when filtering on pandas dataframe

Asked 2022-Mar-07 at 20:47

Given the following DataFrame -

json_path Reporting Group Entity/Grouping Entity ID Adjusted Value (Today, No Div, USD) Adjusted TWR (Current Quarter, No Div, USD) Adjusted TWR (YTD, No Div, USD) Annualized Adjusted TWR (Since Inception, No Div, USD) Adjusted Value (No Div, USD) TWR Audit Note data.attributes.total.children.[0].children.[0].children.[0] Barrack Family William and Rupert Trust 9957007 -1.44 -1.44 data.attributes.total.children.[0].children.[0].children.[0].children.[0] Barrack Family Cash - -1.44 -1.44 data.attributes.total.children.[0].children.[0].children.[1] Barrack Family Gratia Holdings No. 2 LLC 8413655 55491732.66 -0.971018847 -0.971018847 11.52490309 55491732.66 data.attributes.total.children.[0].children.[0].children.[1].children.[0] Barrack Family Investment Grade Fixed Income - 18469768.6 18469768.6 data.attributes.total.children.[0].children.[0].children.[1].children.[1] Barrack Family High Yield Fixed Income - 3668982.44 -0.205356545 -0.205356545 4.441190127 3668982.44

The following code should filter out rows where rows != 'Cash' (Entity/Grouping column) and that have a blank value in either Adjusted TWR (Current Quarter, No Div, USD) column, Adjusted TWR (YTD, No Div, USD) column or Annualized Adjusted TWR (Since Inception, No Div, USD) column.

Code: The following code expects to achieve this -

...

ANSWER

Answered 2022-Mar-07 at 20:47

return reporting_group_df, unknown_df, perf_asset_class_df, perf_entity_df, perf_entity_group_df

Source https://stackoverflow.com/questions/71385082

QUESTION

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() with .loc

Asked 2022-Mar-07 at 05:43

Given the following pandas DataFrame -

I am trying to filter on rows that != Cash ('Entity/Grouping' column) and that have a blank value in 'Adjusted TWR (Current Quarter, No Div, USD)' column, 'Adjusted TWR (YTD, No Div, USD)' column or 'Annualized Adjusted TWR (Since Inception, No Div, USD)' column.

Code: I am trying to achieve this by the following code -

...

ANSWER

Answered 2022-Mar-07 at 05:43

Use |, not or to combine boolean Series.

In your case you can simplify using comparison to empty string on a slice of all target columns and any:

Source https://stackoverflow.com/questions/71376677

QUESTION

UserWarning: This pattern is interpreted as a regular expression, and has match groups

Asked 2022-Mar-06 at 21:25

Given the following pandas DataFrame -

I try and save only rows that contain 4x occurances of .children.[] using the following statement -

Code: perf_by_entity_df = df[df['json_path'].str.contains(r'(\.children\.\[\d+\]){4}')]

However receive the following:

Error:UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.

Any suggestions why this is happening?

...

ANSWER

Answered 2022-Mar-06 at 21:25

Use the code below to suppress the warning:

Source https://stackoverflow.com/questions/71374269

QUESTION

2D Array Filter based on hash key

Asked 2022-Mar-05 at 17:37

Output: User Ruby watched Transit and Max also watched the same movie and gave rating above 3. So User ruby recommendation has to be Max Jurassic Park and not weekend away userRecommend("Ruby", ratings) => ["Jurassic Park"]

How do i get the ouput for below?

...

ANSWER

Answered 2022-Mar-05 at 17:37

You could collect all user/movie and movie/user relations in two hash tables and get the users who have rated the same movie.

The get from the users the other movies, take only unique movies and filter the rated out.

Source https://stackoverflow.com/questions/71363981

QUESTION

How to fix / debug errors (invalid arrayify value) when deploying a solidity contract in Remix

Asked 2022-Feb-08 at 18:12

Problem

I am trying to deploy a smart contract via Remix. Unfortunately, it fails with a very unhelpful error message.

Error Message

creation of MyContract errored: Error encoding arguments: Error: invalid arrayify value (argument="value", value="", code=INVALID_ARGUMENT, version=bytes/5.5.0)

Code

Here is the constructor the contract uses:

...

ANSWER

Answered 2022-Feb-08 at 18:12

The constructor takes a byte array as an argument.

When you pass an empty value, it results in the error message mentioned in your question. It's because you're effectively passing "no value" - not "empty byte array".

creation of MyContract errored: Error encoding arguments: Error: invalid arrayify value (argument="value", value="", code=INVALID_ARGUMENT, version=bytes/5.5.0)

If you want to pass an empty byte array, you need to use the [] or 0x expression (both options work):

Source https://stackoverflow.com/questions/71036736

QUESTION

Normalizing nested JSON object into Pandas dataframe

Asked 2022-Feb-05 at 07:30

Background: I am trying to normalize a json file, and save into a pandas dataframe, however I am having issues navigating the json structure and my code isn't working as expected.

Expected dataframe output: Given the following example json file (uses randomized data, but exactly the same format as the real one), this is the output I am trying to produce -

New Entity Group Entity ID Adjusted Value
(1/31/2022, No Div, USD) Adjusted TWR
(Current Quarter No Div, USD)) Adjusted TWR
(YTD, No Div, USD) Annualized Adjusted TWR
(Since Inception, No Div, USD) Inception Date Risk Target Portfolio_1 $260,786 (44.55%) (44.55%) (44.55%) * Apr 7, 2021 N/A The FW Irrev Family Tr 9552252 $260,786 0.00% 0.00% 0.00% * Jan 11, 2022 N/A Portfolio_2 $18,396,664 (5.78%) (5.78%) (5.47%) * Sep 3, 2021 Growth FW DAF 10946585 $18,396,664 (5.78%) (5.78%) (5.47%) * Sep 3, 2021 Growth Portfolio_3 $60,143,818 (4.42%) (4.42%) 7.75% * Dec 17, 2020 - The FW Family Trust 13014080 $475,356 (6.10%) (6.10%) (3.97%) * Apr 9, 2021 Aggressive FW Liquid Fund LP 13396796 $52,899,527 (4.15%) (4.15%) (4.15%) * Dec 30, 2021 Aggressive FW Holdings No. 2 LLC 8413655 $6,768,937 (0.77%) (0.77%) 11.84% * Mar 5, 2021 N/A FW and FR Joint 9957007 ($1) - - - * Dec 21, 2021 N/A

Actual dataframe output: despite my best efforts, I have only been able to get bolded rows to map into the dataframe:

JSON file: this is the file I am trying to normalize and map into a dataframe:

...

ANSWER

Answered 2022-Feb-04 at 15:02

Since your children's children has same structure as children, you can try using json_normalize twice separately and append it together.

Source https://stackoverflow.com/questions/70936674

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