moco | Easy Setup Stub Server | Mock library

by dreamhead Java Version: v1.4.0 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | moco Summary

moco is a Java library typically used in Testing, Mock, Visual Studio Code, Xcode applications. moco has build file available, it has a Permissive License and it has medium support. However moco has 10 bugs and it has 3 vulnerabilities. You can download it from GitHub, Maven.

Moco is an easy setup stub framework.

Support

Quality

Security

License

Reuse

Support

moco has a medium active ecosystem.

It has 4109 star(s) with 1053 fork(s). There are 279 watchers for this library.

It had no major release in the last 6 months.

There are 132 open issues and 119 have been closed. On average issues are closed in 178 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of moco is v1.4.0

Quality

moco has 10 bugs (2 blocker, 0 critical, 8 major, 0 minor) and 1396 code smells.

Security

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

moco code analysis shows 3 unresolved vulnerabilities (1 blocker, 2 critical, 0 major, 0 minor).

There are 1 security hotspots that need review.

License

moco is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

moco releases are not available. You will need to build from source code and install.

Deployable package is available in Maven.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

moco saves you 9865 person hours of effort in developing the same functionality from scratch.

It has 20102 lines of code, 2375 functions and 477 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed moco and discovered the below as its top functions. This is intended to give you an instant insight into moco implemented functionality, and help decide if they suit your requirements.

Returns the options
Get the certificate option
Returns the settings option
Builds the environment option
Combines two patterns
Concatenates two paths
Determines if a CharSequence contains text
Parses the start args
Creates the https argument
Deserialize a replay container
Deserialize JSON
Deserializes a JsonContainer
Checks if target content match
Parse socket arguments
Runs the runner
Sends a message to the channel
Deserialize a LatencyContainer
Determines if the given path is a valid pattern
Returns a channel initializer that returns the channel initializes
Parses the command line arguments
Determines if a JSON node matches the expected fields
Renders the template and returns the result
Returns the pattern - mapped part of the commit
Returns the command line options
Extract form parts
Writes the request to the response

Get all kandi verified functions for this library.

moco Key Features

No Key Features are available at this moment for moco.

moco Examples and Code Snippets

Using loss functions for unsupervised / self-supervised learning

pypi

Lines of Code : 13

License : No License

Copy

# your training for-loop
for i, data in enumerate(dataloader):
	optimizer.zero_grad()
	embeddings = your_model(data)
	augmented = your_model(your_augmentation(data))
	labels = torch.arange(embeddings.size(0))

	embeddings = torch.cat([embeddings, aug

Community Discussions

Trending Discussions on moco

Use the result of enrichKEGG() to make the dotplot

How to define variable from function that I'm running loop over?

Error: Cannot find module 'selenium-selenium'

QUESTION

Use the result of enrichKEGG() to make the dotplot

Asked 2021-Jul-19 at 15:02

entrezid_downgene=structure(list(SYMBOL = c("ARHGEF16", "ILDR1", "TMPRSS4", "MAP7", "SERINC2", "C9orf152", "TSPAN1", "RHEX", "TMC4", "CRB3", "UGT8", "CD24", "MAPK13", "AGR2", "GJB1", "ERBB3", "CNDP2", "LOC105378644", "GCNT3", "CEACAM1", "GPR160", "PRSS8", "HOOK1", "ABHD17C", "MOCOS", "CWH43", "EHF", "ACSL5", "SLC44A4", "RAP1GAP", "MUC13", "PPM1H", "ATP2C2", "RAB25", "H2BC5", "H4C12", "TJP3", "RXFP1", "GSTO2", "OVOL2", "TMEM125", "LIMS1", "DLX5", "ST6GALNAC1", "HNF1B", "STX19", "F2RL1", "MT1G", "PLPP2", "TMEM238", "SLC30A2", "GABRP", "EPCAM", "CLDN10", "HOXB5", "PRAME", "MAL2", "PLA2G10", "TSPAN12", "FAM174B", "TMC5", "ASRGL1", "SCNN1A", "FOXL2", "ALDH3B2", "ELF3", "SLC7A1", "MT1F", "CLDN3", "SPINT2", "SFN", "VWC2", "C9orf116", "SLC39A6", "TCN1", "IL20RA", "ACSM3", "FOXL2NB", "HGD", "PAX8", "IDO1", "C4BPA", "RHPN2", "HMGCR", "UGT2B11", "PIGR", "MUC20", "SLC3A1", "PLLP", "PSAT1", "SCGB2A1", "WNT5A", "DEFB1", "FGL1", "SLC2A8", "HOXB8", "CYP2J2", "WWC1", "MUC1", "PRKX", "RASEF", "BAIAP2L2", "PAPSS1", "MME", "HOMER2", "STRA6", "ARG2", "MOGAT1", "CDS1", "SCGB2A2", "MPZL2", "PHYHIPL", "INAVA", "IDO2", "GALNT4", "TMEM101", "HSD17B2", "AOC1", "CDCA7", "CAPS", "TFCP2L1", "PAEP", "PLAC9P1", "GAL", "RORB", "CCNO", "XDH", "C15orf48", "SLC1A1", "GPT2", "VNN1", "NWD1", "HABP2", "UGT2B7", "CYP26A1", "MSX1", "ENPP3", "KIR2DL3", "ADAMTS9", "KIR2DL4", "BRINP1", "PROM1", "APCDD1", "AGR3", "EYA2", "SLC2A1", "GNLY", "COL7A1", "FOXJ1", "MS4A8", "C20orf85", "RSPH1", "SCGB1D2", "SPP1", "RASD1", "CST1", "SCGB1D4", "LEFTY1", "LAMC3", "TEKT1", "LCN2", "VTCN1", "IRX3", "ROPN1L", "FAM183A", "NDP", "TUBB3", "DIO2", "IL2RB", "ADAMTS8", "SERPINA5", "NKG7", "ABCC8", "STC1", "LRRC26"), 
               ENTREZID = c("27237", "286676", "56649", "9053", "347735", "401546", "10103", "440712", "147798", "92359", "7368", "100133941", "5603", "10551", "2705", "2065", "55748", "105378644", "9245", "634", "26996", "5652", "51361", "58489", "55034", "80157", "26298", "51703", "80736", "5909", "56667", "57460", "9914", "57111", "3017", "8362", "27134", "59350", "119391", "58495", "128218", "3987", "1749", "55808", "6928", "415117", "2150", "4495", "8612", "388564", "7780", "2568", "4072", "9071", "3215", "23532", "114569", "8399", "23554", "400451", "79838", "80150", "6337", "668", "222", "1999", "6541", "4494", "1365", "10653", "2810", "375567", "138162", "25800", "6947", "53832", "6296", "401089", "3081", "7849", "3620", "722", "85415", "3156", "10720", "5284", "200958", "6519", "51090", "29968", "4246", "7474", "1672", "2267", "29988", "3218", "1573", "23286", "4582", "5613", "158158", "80115", "9061", "4311", "9455", "64220", "384", "116255", "1040", "4250", "10205", "84457", "55765", "169355", "8693", "84336", "3294", "26", "83879", "828", "29842", "5047", "389033", "51083", "6096", "10309", "7498", "84419", "6505", "84706", "8876", "284434", "3026", "7364", "1592", "4487", "5169", "3804", "56999", "3805", "1620", "8842", "147495", "155465", "2139", "6513", "10578", "1294", "2302", "83661", "128602", "89765", "10647", "6696", "51655", "1469", "404552", "10637", "10319", "83659", "3934", "79679", "79191", "83853", "440585", "4693", "10381", "1734", "3560", "11095", "5104", "4818", "6833", "6781", "389816")),
          row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L), class = "data.frame") 
          

down_ekk <- enrichKEGG(gene= c(entrezid_downgene$ENTREZID),
                  organism  = 'hsa', 
                  pvalueCutoff = 0.05,
                  minGSSize = 50,
                  maxGSSize = 500,
                  
)
dot <- dotplot(down_ekk,font.size=6,title='down_kegg')  
dot

...

ANSWER

Answered 2021-Jul-16 at 09:26

This is normal you can't plot the dotplot because you have no significant ontologies. You can check with down_ekk :

Source https://stackoverflow.com/questions/68404726

QUESTION

How to define variable from function that I'm running loop over?

Asked 2021-Jun-24 at 16:37

This may be a super naive question, but I have a function that I'm trying to loop over with each item in a list being an input. The function is get_t1_file()

...

ANSWER

Answered 2021-Jun-24 at 16:37

You have to use the returned value of the function:

Source https://stackoverflow.com/questions/68119605

QUESTION

Error: Cannot find module 'selenium-selenium'

Asked 2020-Sep-11 at 21:30

Versions are:

...

ANSWER

Answered 2020-Sep-11 at 21:30

I think you use incorrect package name in your code - selenium-selenium. This package doesn't available on npmjs.org.

Try change this lines in our code:

Source https://stackoverflow.com/questions/63841190

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install moco

Download Standalone Moco Runner
Write your own configuration file to describe your Moco server configuration as follow:
Run Moco HTTP server with the configuration file.
Now, open your favorite browser to visit http://localhost:12306 and you will see "Hello, Moco".
Make sure you have JDK and Gradle installed.
Clone Moco
Build Moco
Build uberjar
Check code before commit