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{"lastUpload":"2020-12-31T08:24:16.454Z","extensionVersion":"v3.4.3"} |
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["/usr/share/jupyter/kernels/python3/kernel.json"] |
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// Place your key bindings in this file to override the defaultsauto[] | |
[ | |
{ | |
"key": "ctrl+alt+c", | |
"command": "workbench.output.action.clearOutput" | |
}, | |
{ | |
"key": "ctrl+k b", | |
"command": "HookyQR.beautifyFile" | |
}, | |
{ | |
"key": "ctrl+shift+l", | |
"command": "-extension.log", | |
"when": "editorTextFocus" | |
}, | |
{ | |
"key": "ctrl+k ctrl+shift+l", | |
"command": "editor.action.selectHighlights", | |
"when": "editorFocus" | |
}, | |
{ | |
"key": "ctrl+shift+l", | |
"command": "-editor.action.selectHighlights", | |
"when": "editorFocus" | |
}, | |
{ | |
"key": "ctrl+n", | |
"command": "explorer.newFile" | |
}, | |
{ | |
"key": "ctrl+n", | |
"command": "-workbench.action.files.newUntitledFile" | |
}, | |
{ | |
"key": "ctrl+j ctrl+t", | |
"command": "java.test.explorer.run" | |
}, | |
{ | |
"key": "ctrl+j ctrl+g", | |
"command": "extension.javaGenerateAll" | |
}, | |
{ | |
"key": "ctrl+j ctrl+e", | |
"command": "extension.javaGenerateConstructor" | |
}, | |
{ | |
"key": "ctrl+shift+l", | |
"command": "-extension.insertLogStatement", | |
"when": "editorTextFocus" | |
}, | |
{ | |
"key": "ctrl+k ctrl+n", | |
"command": "explorer.newFolder" | |
}, | |
{ | |
"key": "ctrl+k ctrl+shift+n", | |
"command": "workbench.action.files.newUntitledFile" | |
}, | |
{ | |
"key": "ctrl+k shift+/", | |
"command": "workbench.action.openSnippets" | |
} | |
] |
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{ | |
"window.zoomLevel": 1, | |
"editor.renderWhitespace": "all", | |
"editor.renderControlCharacters": true, | |
"editor.defaultFormatter": "tombonnike.vscode-status-bar-format-toggle", | |
"editor.formatOnSave": false, | |
"editor.formatOnPaste": false, | |
"editor.formatOnType": false, | |
"html.format.endWithNewline": true, | |
"html.format.indentHandlebars": true, | |
"html.format.indentInnerHtml": true, | |
"javascript.format.insertSpaceAfterConstructor": true, | |
"prettier.useTabs": true, | |
"files.associations": { | |
"*.ejs": "javascript" | |
}, | |
"editor.minimap.enabled": false, | |
"java.configuration.checkProjectSettingsExclusions": false, | |
"maven.executable.path": "c:\\Users\\Alon Parag\\.m2\\wrapper\\dists\\apache-maven-3.6.3-bin\\1iopthnavndlasol9gbrbg6bf2\\apache-maven-3.6.3\\bin\\mvn.cmd", | |
"java.project.referencedLibraries": [ | |
"lib/**/*.jar", | |
"C:\\Program Files\\Amazon Corretto\\jdk11.0.6_10\\lib\\junit\\junit-platform-console-standalone-1.6.2.jar" | |
], | |
"java.semanticHighlighting.enabled": true, | |
"sync.gist": "6c422a74fba47f8a6bea512ed66a8f1f", | |
"sync.forceUpload": true, | |
"editor.suggestSelection": "first", | |
"vsintellicode.modify.editor.suggestSelection": "automaticallyOverrodeDefaultValue", | |
"python.languageServer": "Microsoft", | |
"workbench.colorTheme": "Solarized Dark", | |
"telemetry.enableTelemetry": false, | |
"python.autoComplete.showAdvancedMembers": false, | |
"python.dataScience.disableJupyterAutoStart": true, | |
"python.dataScience.exportWithOutputEnabled": true | |
} |
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{ | |
// Place your snippets for html here. Each snippet is defined under a snippet name and has a prefix, body and | |
// description. The prefix is what is used to trigger the snippet and the body will be expanded and inserted. Possible variables are: | |
// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. Placeholders with the | |
// same ids are connected. | |
// Example: | |
// "Print to console": { | |
// "prefix": "log", | |
// "body": [ | |
// "console.log('$1');", | |
// "$2" | |
// ], | |
// "description": "Log output to console" | |
// } | |
} |
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{ | |
// Place your snippets for json here. Each snippet is defined under a snippet name and has a prefix, body and | |
// description. The prefix is what is used to trigger the snippet and the body will be expanded and inserted. Possible variables are: | |
// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. Placeholders with the | |
// same ids are connected. | |
// Example: | |
// "Print to console": { | |
// "prefix": "log", | |
// "body": [ | |
// "console.log('$1');", | |
// "$2" | |
// ], | |
// "description": "Log output to console" | |
// } | |
"JSON snippet": { | |
"prefix": "snippet", | |
"body": [ | |
"\t${1:\"Name\"}: {", | |
"\t\t\"prefix\": ${2:\"prefix\"},", | |
"\t\t\"body\": [", | |
"\t\t\t${3:\"Code\"}", | |
"\t\t],", | |
"\t\t\"description\": \"${4:Description}\" ", | |
"\t}" | |
], | |
"description": "Log output to console" | |
} | |
} |
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{ | |
// Place your snippets for jupyter here. Each snippet is defined under a snippet name and has a prefix, body and | |
// description. The prefix is what is used to trigger the snippet and the body will be expanded and inserted. Possible variables are: | |
// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. Placeholders with the | |
// same ids are connected. | |
// Example: | |
// "Print to console": { | |
// "prefix": "log", | |
// "body": [ | |
// "console.log('$1');", | |
// "$2" | |
// ], | |
// "description": "Log output to console" | |
// } | |
"graph boilerplate": { | |
"prefix": "graph", | |
"body": [ | |
"import math", | |
"import numpy as np", | |
"import matplotlib.pyplot as plt", | |
"def f(x)", | |
"return $1", | |
"x = np.linspace($2, $3, $4)", | |
"y=np.vectorize(f(x))", | |
"fig = plt.figure()", | |
"ax = plt.gca()", | |
"ax.plot(x, y)", | |
"ax.plot(x, y)", | |
"ax.text($5, round($6, 3), '({}, {})'.format($8, round(($7), $9),))", | |
"ax.tick_params(", | |
"axis='x', # changes apply to the x-axis", | |
"which='both', # both major and minor ticks are affected", | |
"bottom=False, # ticks along the bottom edge are off", | |
"top=False, # ticks along the top edge are off", | |
"labelbottom=False) ", | |
"ax.grid(True)", | |
"ax.spines['left'].set_position('zero')", | |
"ax.spines['right'].set_color('none')", | |
"ax.spines['bottom'].set_position('zero')", | |
"ax.spines['top'].set_color('none')", | |
"ax.axis('equal')", | |
"ax.axis('equal')", | |
], | |
"description": "Boilerplate for y=ax graph" | |
} | |
} | |
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{ | |
// Place your snippets for python here. Each snippet is defined under a snippet name and has a prefix, body and | |
// description. The prefix is what is used to trigger the snippet and the body will be expanded and inserted. Possible variables are: | |
// $1, $2 for tab stops, $0 for the final cursor position, and ${1:label}, ${2:another} for placeholders. Placeholders with the | |
// same ids are connected. | |
// Example: | |
// "Print to console": { | |
// "prefix": "log", | |
// "body": [ | |
// "console.log('$1');", | |
// "$2" | |
// ], | |
// "description": "Log output to console" | |
// } | |
"Bug Report boilerplate":{ | |
"prefix": "bug_report", | |
"body":[ | |
"## BUG ${1:Date} ${2:Hour}", | |
"## Output", | |
"## Error", | |
"## Hypothesis", | |
"## Experiment", | |
"## Result", | |
], | |
"description": "Bug report for python" | |
}, | |
"Docstring Boilerplate":{ | |
"prefix": "docstring", | |
"body":[ | |
"\"\"\"", | |
"Assumes", | |
"Returns", | |
"\"\"\"", | |
], | |
"description": "Standart docstring boilerplate for Python" | |
}, | |
"Standard equation graph": { | |
"prefix": "graph_standard_equation", | |
"body": [ | |
"import numpy as np", | |
"import matplotlib as mpl", | |
"import matplotlib.pyplot as plt", | |
"", | |
"mpl.rcParams['lines.color'] = 'k'", | |
"mpl.rcParams['axes.prop_cycle'] = mpl.cycler('color', ['k'])", | |
"", | |
"x = np.linspace(-9, 9, 400)", | |
"y = np.linspace(-5, 5, 400)", | |
"x, y = np.meshgrid(x, y)", | |
"", | |
"def axes():", | |
" plt.axhline(0, alpha=.1)", | |
" plt.axvline(0, alpha=.1)", | |
"", | |
"a, b, c, d, e, f = ${1:a}, ${2:b}, ${3:c}, ${4:d}, ${5:e}, ${6:f}", | |
"# assert b**2 - 4*a*c < 0", | |
"axes()", | |
"plt.contour(x, y,(a*x**2 + b*x*y + c*y**2 + d*x + e*y + f), [0], colors='k')", | |
"plt.show()" | |
], | |
"description": "Plot a graph for a given standard equation of a conic section" | |
}, | |
"graph boilerplate": { | |
"prefix": "graph", | |
"body": [ | |
"import math", | |
"import numpy as np", | |
"import matplotlib.pyplot as plt", | |
"def f(x)", | |
"return $1", | |
"x = np.linspace($2, $3, $4)", | |
"y=np.vectorize(f(x))", | |
"fig = plt.figure()", | |
"ax = plt.gca()", | |
"ax.plot(x, y)", | |
"ax.plot(x, y)", | |
"ax.text($5, round($6, 3), '({}, {})'.format($8, round(($7), $9),))", | |
"ax.tick_params(", | |
"axis='x', # changes apply to the x-axis", | |
"which='both', # both major and minor ticks are affected", | |
"bottom=False, # ticks along the bottom edge are off", | |
"top=False, # ticks along the top edge are off", | |
"labelbottom=False) ", | |
"ax.grid(True)", | |
"ax.spines['left'].set_position('zero')", | |
"ax.spines['right'].set_color('none')", | |
"ax.spines['bottom'].set_position('zero')", | |
"ax.spines['top'].set_color('none')", | |
"ax.axis('equal')", | |
"ax.axis('equal')", | |
], | |
"description": "Boilerplate for y=ax graph" | |
}, | |
"Polar graph boilerplate": { | |
"prefix": "graph_boilerplate", | |
"body": [ | |
"import numpy as np", | |
"import matplotlib.pyplot as plt", | |
" ", | |
" ", | |
"# setting the axes projection as polar", | |
"plt.axes(projection = 'polar')", | |
" ", | |
"# setting the radius", | |
"r = $1", | |
" ", | |
"# creating an array containing the", | |
"# radian values", | |
"rads = np.arange(0, (2 * np.pi), 0.01)", | |
" ", | |
"# plotting the circle", | |
"for rad in rads:", | |
" plt.polar(rad, r, 'g.')", | |
" ", | |
"# display the Polar plot", | |
"plt.show()" | |
], | |
"description": "A boilerplate for graphing a polar equation" | |
} | |
} |
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