moco | Easy Setup Stub Server | Mock library

 by   dreamhead Java Version: v1.4.0 License: MIT

kandi X-RAY | moco Summary

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.

            kandi-support 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

            kandi-Quality Quality

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

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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

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

            Community Discussions


            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')  


            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 :



            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()



            Answered 2021-Jun-24 at 16:37

            You have to use the returned value of the function:



            Error: Cannot find module 'selenium-selenium'
            Asked 2020-Sep-11 at 21:30

            Versions are:



            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

            Try change this lines in our code:


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


            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


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            gh repo clone dreamhead/moco

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