xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

a777279e25e5f54d2f1baa3f5a903f9db98549ea

305

py

Python

scripts/find_unmatched.py

dyelax/selfie2bitmoji

1aa292800827a250494f43246b65812cff96b921

[ "MIT" ]

3

2017-12-21T05:15:12.000Z

2018-01-26T16:36:06.000Z

scripts/find_unmatched.py

dyelax/selfie2bitmoji

1aa292800827a250494f43246b65812cff96b921

[ "MIT" ]

1

2018-11-30T12:02:01.000Z

2018-12-04T12:01:19.000Z

scripts/find_unmatched.py

dyelax/selfie2bitmoji

1aa292800827a250494f43246b65812cff96b921

[ "MIT" ]

2

2018-09-21T16:52:29.000Z

2019-12-02T08:15:46.000Z

from glob import glob import os png_paths = glob('../data/bitmoji/*/*.png') npy_paths = glob('../data/bitmoji/*/*.npy') png_set = set([os.path.splitext(p)[0] for p in png_paths]) npy_set = set([os.path.splitext(p)[0] for p in npy_paths]) sym_diff = png_set ^ npy_set print len(sym_diff) print sym_diff

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a77e1243c0644045786db43dbd281e62079dfe76

1,166

py

Python

client.py

RYAN2540/PasswordLocker

89042d52e09b5cda4313b4511aa6899e020f0a37

[ "MIT" ]

null

client.py

RYAN2540/PasswordLocker

89042d52e09b5cda4313b4511aa6899e020f0a37

[ "MIT" ]

null

client.py

RYAN2540/PasswordLocker

89042d52e09b5cda4313b4511aa6899e020f0a37

[ "MIT" ]

null

import credentials class Client: """ Class that generates new instances of account clients. """ users_list = [] def __init__ (self, username, password): ''' Initialization method for a new client. ''' self.username = username self.password = password self.credential = credentials.Credentials() @classmethod def add_user(cls, new_user): ''' Method to add user to users_list. ''' cls.users_list.append(new_user) @classmethod def check_login(cls, login_name, login_pass): ''' Method to check if user login details exist in users_list. ''' for user in cls.users_list: if user.username == login_name: if user.password == login_pass: return True return False @classmethod def return_user(cls, username, password): ''' Method to return user object upon successful login. ''' for user in cls.users_list: if user.username == username: if user.password == password: return user

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a780ecf3b2163c60f6ef74aee73017077232925d

464

py

Python

source/funwithflags/gateways/db_gateway_abc.py

zywangzy/fun_with_flags

ab2fccfc8a56513d842aa7fda81f3f4224f89be3

[ "MIT" ]

null

source/funwithflags/gateways/db_gateway_abc.py

zywangzy/fun_with_flags

ab2fccfc8a56513d842aa7fda81f3f4224f89be3

[ "MIT" ]

26

2019-08-24T05:54:37.000Z

2020-04-06T01:23:29.000Z

source/funwithflags/gateways/db_gateway_abc.py

andrewwangzy/fun_with_flags

ab2fccfc8a56513d842aa7fda81f3f4224f89be3

[ "MIT" ]

null

"""Module for the DbGateway abstract base class.""" from abc import ABC, abstractmethod from typing import Any class DbGateway(ABC): """Abstract base class for DbGateway defining the interfaces to interact with a database, including read / write / update / delete database table entries. """ @abstractmethod def query(self, command: str) -> Any: """Given a `command` string, do the query and return result of type `Any`. """

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a78832743706043814342f3e921deb0694756419

515

py

Python

backend/accounts/management/commands/load.py

aibek79/Django-React-knboard

074f4b1388a440290f9ae4a88c71fef749775932

[ "MIT" ]

665

2020-05-22T16:13:59.000Z

2022-03-30T01:22:51.000Z

backend/accounts/management/commands/load.py

aibek79/Django-React-knboard

074f4b1388a440290f9ae4a88c71fef749775932

[ "MIT" ]

70

2020-05-02T12:09:43.000Z

2022-02-27T12:54:48.000Z

backend/accounts/management/commands/load.py

aibek79/Django-React-knboard

074f4b1388a440290f9ae4a88c71fef749775932

[ "MIT" ]

161

2020-05-25T21:10:09.000Z

2022-03-08T15:39:24.000Z

from django.conf import settings from django.core import management from django.core.management.base import BaseCommand, CommandError class Command(BaseCommand): help = "Helpful command to load all fixtures" def handle(self, *args, **options): if not settings.DEBUG: raise CommandError("Command not meant for production") management.call_command("loaddata", "users") management.call_command("loaddata", "tasks") management.call_command("loaddata", "avatars")

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2

a78eb9e984b6a257768e25354d113445fc76d59e

180

py

Python

code_all/day15/my_project01/skill_system/skill_manager.py

testcg/python

4db4bd5d0e44af807d2df80cf8c8980b40cc03c4

[ "MIT" ]

null

code_all/day15/my_project01/skill_system/skill_manager.py

testcg/python

4db4bd5d0e44af807d2df80cf8c8980b40cc03c4

[ "MIT" ]

null

code_all/day15/my_project01/skill_system/skill_manager.py

testcg/python

4db4bd5d0e44af807d2df80cf8c8980b40cc03c4

[ "MIT" ]

null

from skill_system.skill_deplayer import SkillDeployer class SkillManager: def func01(self): print("SkillManager-func01") deplayer = SkillDeployer() deplayer.func02()

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a79753506b2643f925d9428c18fd0347d2813683

2,996

py

Python

18022022-1.py

BilalsGituation/FunctionsModulesIntro

2024e562112798b195fac3122251e02554129d9f

[ "MIT" ]

null

18022022-1.py

BilalsGituation/FunctionsModulesIntro

2024e562112798b195fac3122251e02554129d9f

[ "MIT" ]

null

18022022-1.py

BilalsGituation/FunctionsModulesIntro

2024e562112798b195fac3122251e02554129d9f

[ "MIT" ]

null

""" Pseudocode: exercises 23, 24, 25 Post-solution REVIEW: Too much detail, to be honest especially for someone who understands the fundamentals Ex 23: Exercise 23 – Your first loops Generate a list that contains at least 20 random integers. Write one loop that sums up all entries of the list. Write another loop that sums up only the entries of the list with even indices. Write a third loop that generates a new list that contains the values of the list in reverse order. Print out all three results # Generate number list import the random package randomlist = empty list for index in range of 0-25 number1, between 0 and 300, is generated number1 is appended to randomlist Loop is exited once whole list is read # Add numbers in list to sum, by changing its value on iterations set sum = 0 for index in randomlist sum += index print(sum) Take user input (integer) if input in list, just inform user of that for each element: If input bigger than list element, inform them of that then parse next element else if input smaller than list element, inform them of that then parse next element Exercise 24 – 3 while loops Write a program that uses while loops to finish the tasks below: - Searching for a specific number (e.g. 5) in an integer list of unknown length - Multiplying all elements of an integer list of unknown length - Printing out the contents of a string list of unknown length elementwise # Generate list of unknown length with random elements define empty list p for index in range between 1 and random integer between min1 and max1 append random number between min2 and max2 to p print p # 1st part - search for number get user input (number to scan for) start at 0th position set NumFound to False while reading position is lower than length of list: if reading position = user input print confirmation for user NumFound becomes True reading position += 1 if NumFound remains False, inform user # 2nd part - multiply list entries together call list using code from earlier (recommended not to have more than 7 elements and random numbers only between 1-10) set first parsing index (FPI) to 0 while FPI is less than list length: set second parsing index (SPI) to 0 while SPI is less than list length print(f'current entry {SPI} times last entry {FPI} = {SPI*FPI}') SPI +=1 # move reading frame for reading position FPI +=1 # move reading frame for reading position -1 # 3rd part - print contents of unknown list by element call list using code from earlier (STOPPED TO FOLLOW CHRISTOPH'S SOLUTION IN LESSON. It's much nicer to read, of course, so you can take this as an example of too much detail) """ # after that, moved onto definition of function (see pdf) """Create a program that defines functions for the four mathematical basic operations (+, -, * and /). Call the functions at least three times with different parameters."""

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a798e36cfa4a47b0ac44a3262751231e9d2fae48

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py

Python

iaso/migrations/0003_auto_20190617_1347.py

ekhalilbsq/iaso

e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee

[ "MIT" ]

29

2020-12-26T07:22:19.000Z

2022-03-07T13:40:09.000Z

iaso/migrations/0003_auto_20190617_1347.py

ekhalilbsq/iaso

e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee

[ "MIT" ]

150

2020-11-09T15:03:27.000Z

2022-03-07T15:36:07.000Z

iaso/migrations/0003_auto_20190617_1347.py

ekhalilbsq/iaso

e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee

[ "MIT" ]

4

2020-11-09T10:38:13.000Z

2021-10-04T09:42:47.000Z

# Generated by Django 2.0 on 2019-06-17 13:47 from django.db import migrations class Migration(migrations.Migration): dependencies = [("iaso", "0002_auto_20190617_1232")] operations = [migrations.RenameField(model_name="orglevel", old_name="org_unit_type", new_name="org_unit_types")]

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1,152

py

Python

climpred/tests/__init__.py

aaronspring/climpred

5e01fdbe893507cd683dd97e0229dffabebbda43

[ "MIT" ]

null

climpred/tests/__init__.py

aaronspring/climpred

5e01fdbe893507cd683dd97e0229dffabebbda43

[ "MIT" ]

11

2021-06-01T13:50:50.000Z

2022-03-07T23:31:47.000Z

climpred/tests/__init__.py

aaronspring/climpred

5e01fdbe893507cd683dd97e0229dffabebbda43

[ "MIT" ]

null

import importlib from distutils import version import pytest def _importorskip(modname, minversion=None): try: mod = importlib.import_module(modname) has = True if minversion is not None: if LooseVersion(mod.__version__) < LooseVersion(minversion): raise ImportError("Minimum version not satisfied") except ImportError: has = False func = pytest.mark.skipif(not has, reason=f"requires {modname}") return has, func def LooseVersion(vstring): # Our development version is something like '0.10.9+aac7bfc' # This function just ignored the git commit id. vstring = vstring.split("+")[0] return version.LooseVersion(vstring) has_matplotlib, requires_matplotlib = _importorskip("matplotlib") has_nc_time_axis, requires_nc_time_axis = _importorskip("nc_time_axis", "1.4.0") has_xclim, requires_xclim = _importorskip("xclim", "0.31") has_bias_correction, requires_bias_correction = _importorskip("bias_correction") has_xesmf, requires_xesmf = _importorskip("xesmf") has_xrft, requires_xrft = _importorskip("xrft") has_eofs, requires_eofs = _importorskip("eofs")

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a7a28ad36fb15211f320cbcb46863f110a147ebf

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py

Python

test/test_examples.py

VDBWRAIR/pyjip

dc147afebbabd550828fa51cc052db4aa07c5d3b

[ "BSD-3-Clause" ]

18

2015-05-08T06:39:09.000Z

2020-11-30T10:51:36.000Z

test/test_examples.py

VDBWRAIR/pyjip

dc147afebbabd550828fa51cc052db4aa07c5d3b

[ "BSD-3-Clause" ]

9

2015-01-02T09:55:53.000Z

2016-02-03T18:31:10.000Z

test/test_examples.py

castlabs/pyjip

947f615d591a940438316e6d21291f730bfcda66

[ "BSD-3-Clause" ]

5

2016-02-01T16:52:36.000Z

2021-03-10T12:08:39.000Z

#!/usr/bin/env python """Test some of the examples pipelines and tools""" import os import jip import unittest import jip.tools class BWAPipelineTest(unittest.TestCase): def testPipelineStructure(self): # load the pipeline tool = jip.find("examples/bwa/pileup.jip") assert tool is not None # create a pipeline p = jip.Pipeline() # create a new pipeline node and configure id p.run(tool, input="setup.py", reference="Makefile", output="out.txt") # expand the pipeline such that the internal pipeline is resolved p.expand(validate=False) # after expansion with this setuo, the pipeline should have 7 nodes assert len(p) == 7 # the graph should consist of 6 edges assert len(p.edges) == 6 # get out the nodes. we have to use indexes here # because the names might have changed after expansion ref = p.get("ref") align = p.get("align") sam = p.get("sam") bam = p.get("bam") dups = p.get("dups") index = p.get("index") pileup = p.get("pileup") # check the connections assert not ref.has_incoming() assert align.has_incoming(ref) assert sam.has_incoming(align) assert bam.has_incoming(sam) assert dups.has_incoming(bam) assert index.has_incoming(dups) assert pileup.has_incoming(index) assert not pileup.has_outgoing() def testPipelineStructureMultiplexed(self): # load the pipeline tool = jip.find("examples/bwa/pileup.jip") assert tool is not None # create a pipeline p = jip.Pipeline() # create a new pipeline node and configure id p.run(tool, input=["setup.py", "README.rst"], reference="Makefile", output="${input|ext}_out.txt") # expand the pipeline such that the internal pipeline is resolved # this will also validate all nodes and raise an exception # if one of the nodes validations failed p.expand(validate=False) # after expansion with this setuo, the pipeline should have 7 nodes assert len(p) == 13 # the graph should consist of 6 edges assert len(p.edges) == 12 # get out the nodes. we have to use indexes here # because the names might have changed after expansion ref = p.get("ref") align = p.get("align.0") sam = p.get("sam.0") bam = p.get("bam.0") dups = p.get("dups.0") index = p.get("index.0") pileup = p.get("pileup.0") # check the connections assert not ref.has_incoming() assert align.has_incoming(ref) assert sam.has_incoming(align) assert bam.has_incoming(sam) assert dups.has_incoming(bam) assert index.has_incoming(dups) assert pileup.has_incoming(index) assert not pileup.has_outgoing() # test second set ref = p.get("ref") align = p.get("align.1") sam = p.get("sam.1") bam = p.get("bam.1") dups = p.get("dups.1") index = p.get("index.1") pileup = p.get("pileup.1") # check the connections assert not ref.has_incoming() assert align.has_incoming(ref) assert sam.has_incoming(align) assert bam.has_incoming(sam) assert dups.has_incoming(bam) assert index.has_incoming(dups) assert pileup.has_incoming(index) assert not pileup.has_outgoing() @jip.tool('gem_index') class GemIndex(object): """ The GEM Indexer tool Usage: gem_index -i <genome> [-o <genome_index>] [-t <threads>] [--no-hash] Options: --help Show this help message -o, --output-dir <output_dir> The folder where the output GEM index is created -t, --threads <threads> The number of execution threads [default: 1] --no-hash Do not produce the hash file [default: false] Inputs: -i, --input <genome> The fasta file for the genome """ def init(self): self.add_output('output', "${input|name|ext}.gem") def setup(self): out = "${input|name|ext}.gem" if self.options['output_dir']: out = "${output_dir}/" + out self.options['output'].set(out) def get_command(self): return "gemtools index -i ${input} -o ${output} -t ${threads} "\ "${no_hash|arg}" @jip.tool('gem_t_index') class GemTranscriptomeIndex(object): """ The GEM Transcrptome Indexer tool Usage: gem_t_index -i <genome_index> -a <annotation> [-m <max_read_length>] [-o <output_folder>] [-p <output_prefix>] [-t <threads>] Options: --help Show this help message -o, --output-dir <output_dir> The folder where the output files are created [default: ${annotation|parent}] -p, --prefix <output_prefix> The name to be used for the output files [default: ${annotation|name}] -t, --threads <threads> The number of execution threads [default: 1] -m, --max-length <max_read_length> Maximum read length [default: 150] Inputs: -i, --index <genome_index> The GEM index file for the genome -a, --annotation <annotation> The reference annotation in GTF format """ def init(self): #if not self.options['output_dir']: # self.options['output_dir'] = "." #if not self.options['prefix']: # self.options['prefix'] = "${annotation}" self.add_output('gem', "${output_dir}/${prefix}.junctions.gem") self.add_output('keys', "${output_dir}/${prefix}.junctions.keys") def get_command(self): return 'bash', 'gemtools t-index -i ${index} -a ${annotation} ' \ '-o ${output_dir|abs}/${prefix} -t ${threads} ' \ '-m ${max_length}' def test_gemtools_index_command_rendering_for_options(): p = jip.Pipeline() p.run('gem_index', input="Makefile", output_dir='test') p.expand(validate=True) node = p.get('gem_index') print node._tool.options job = jip.create_jobs(p)[0] infile = os.path.abspath("Makefile") base = os.path.dirname(infile) print ">>>", job.command assert job.command == 'gemtools index -i %s -o %s.gem -t 1 ' % ( infile, os.path.join(base, "test/Makefile")) outfiles = list(job.get_output_files()) assert len(outfiles) == 1 assert outfiles[0] == os.path.join(base, "test/Makefile.gem") def test_gemtools_t_index_inputs(): p = jip.Pipeline() p.run('gem_t_index', index="Makefile", annotation='setup.py', output_dir='test') p.expand(validate=False) job = jip.create_jobs(p)[0] infile = os.path.abspath("Makefile") annotation = os.path.abspath("setup.py") base = os.path.dirname(infile) print ">>>", job.command assert job.command == 'gemtools t-index -i %s -a %s -o %s -t 1 -m 150' % ( infile, annotation, os.path.join(base, "test/setup.py")) outfiles = list(job.get_output_files()) assert len(outfiles) == 2 assert outfiles[0] == os.path.join(base, "test/setup.py.junctions.gem") assert outfiles[1] == os.path.join(base, "test/setup.py.junctions.keys") @jip.tool('grape_gem_rnatool') class gem(object): """ The GEMTools RNAseq Mapping Pipeline Usage: gem -f <fastq_file>... -i <genome_index> -a <annotation> -q <quality> [-n <name>] [-o <output_dir>] [-t <threads>] Options: --help Show this help message -q, --quality <quality> The fastq offset quality -n, --name <name> The output prefix name [default: ${fastq.raw()[0]|name|ext|ext|re("_[12]","")}] -o, --output-dir <output_dir> The output folder -t, --threads <threads> The number of execution threads [default: 1] Inputs: -f, --fastq <fastq_file>... The input fastq -i, --index <genome_index> The GEM index file for the genome -a, --annotation <annotation> The reference annotation in GTF format """ def init(self): self.add_output('map', "${output_dir}/${name}.map.gz") self.add_output('bam', "${output_dir}/${name}.bam") self.add_output('bai', "${output_dir}/${name}.bam.bai") self.add_option('single_end', False, long="--single-end", hidden=False) def setup(self): if len(self.fastq) == 1: self.options['single_end'].set(True) def get_command(self): return 'bash', 'gemtools rna-pipeline ${options()}' @jip.tool('grape_flux') class flux(object): """ The Flux Capacitor Usage: flux -i <input> -a <annotation> [-o <output_dir>] Options: --help Show this help message -o, --output-dir <output_dir> The output folder Inputs: -i, --input <input> The input file with mappings -a, --annotation <annotation> The reference annotation in GTF format """ def init(self): self.add_option('name', "${input|name|ext}") self.add_output('gtf', "${output_dir}/${name}.gtf") def get_command(self): return 'bash', 'flux-capacitor ${options()}' @jip.pipeline('grape_gem_rnapipeline') class GrapePipeline(object): """ Run the default RNAseq pipeline usage: rnaseq -f <fastq_file>... -q <quality> -i <genome_index> -a <annotation> [-o <output_dir>] Inputs: -f, --fastq <fastq_file>... The input reference genome -i, --index <genome_index> The input reference genome -a, --annotation <annotation The input reference annotation Options: -q, --quality <quality> The fatq offset quality [default: 33] -o, --output-dir <output_dir> The output prefix [default: ${fastq.raw()[0]|abs|parent}] """ def pipeline(self): p = jip.Pipeline() gem = p.run( 'grape_gem_rnatool', index=self.index, annotation=self.annotation, fastq=self.fastq, quality=self.quality, output_dir=self.output_dir ) p.run( 'grape_flux', input=gem.bam, annotation=self.annotation, output_dir=self.output_dir ) p.context(locals()) return p def test_gem_name_option_delegation(): p = jip.Pipeline() p.run('grape_gem_rnapipeline', fastq='reads_1.fastq.gz', index='index.gem', annotation='gencode.gtf') jobs = jip.create_jobs(p, validate=False) ldir = os.getcwd() j = os.path.join assert len(jobs) == 2 assert jobs[0].configuration['index'].get() == j(ldir, 'index.gem') assert jobs[0].configuration['fastq'].get() == j(ldir, 'reads_1.fastq.gz') assert jobs[0].configuration['annotation'].get() == j(ldir, 'gencode.gtf') assert jobs[0].configuration['quality'].get() == '33' assert jobs[0].configuration['output_dir'].get() == ldir assert jobs[0].configuration['name'].get() == 'reads' assert jobs[0].configuration['bam'].get() == j(ldir, 'reads.bam') assert jobs[0].configuration['bai'].get() == j(ldir, 'reads.bam.bai') assert jobs[0].configuration['map'].get() == j(ldir, 'reads.map.gz') assert jobs[1].configuration['input'].get() == j(ldir, 'reads.bam') assert jobs[1].configuration['name'].get() == 'reads' assert jobs[1].configuration['annotation'].get() == j(ldir, 'gencode.gtf') assert jobs[1].configuration['output_dir'].get() == ldir assert jobs[1].configuration['gtf'].get() == j(ldir, 'reads.gtf') assert len(jobs[0].children) == 1 assert len(jobs[1].dependencies) == 1 assert jobs[0].children[0] == jobs[1] def test_gem_name_option_delegation_with_output_dir(): p = jip.Pipeline() p.run('grape_gem_rnapipeline', fastq='reads_1.fastq.gz', index='index.gem', annotation='gencode.gtf', output_dir="mydir") jobs = jip.create_jobs(p, validate=False) ldir = os.getcwd() j = os.path.join assert len(jobs) == 2 assert jobs[0].configuration['index'].get() == j(ldir, 'index.gem') assert jobs[0].configuration['fastq'].get() == j(ldir, 'reads_1.fastq.gz') assert jobs[0].configuration['annotation'].get() == j(ldir, 'gencode.gtf') assert jobs[0].configuration['quality'].get() == '33' assert jobs[0].configuration['output_dir'].get() == "mydir" assert jobs[0].configuration['name'].get() == 'reads' assert jobs[0].configuration['bam'].get() == j(ldir, 'mydir/reads.bam') assert jobs[0].configuration['bai'].get() == j(ldir, 'mydir/reads.bam.bai') assert jobs[0].configuration['map'].get() == j(ldir, 'mydir/reads.map.gz') assert jobs[1].configuration['input'].get() == j(ldir, 'mydir/reads.bam') assert jobs[1].configuration['name'].get() == 'reads' assert jobs[1].configuration['annotation'].get() == j(ldir, 'gencode.gtf') assert jobs[1].configuration['output_dir'].get() == "mydir" assert jobs[1].configuration['gtf'].get() == j(ldir, 'mydir/reads.gtf') assert len(jobs[0].children) == 1 assert len(jobs[1].dependencies) == 1 assert jobs[0].children[0] == jobs[1] def test_multiple_pipelines_with_delegated_outputs(): @jip.tool('grape_gem_index') class GemIndex(object): """\ The GEM Indexer tool Usage: gem_index -i <genome> [-o <genome_index>] Options: -o, --output <genome_index> The output GEM index file [default: ${input|ext}.gem] -i, --input <genome> The fasta file for the genome """ def get_command(self): return "bash", "gemtools index ${options()}" @jip.tool('grape_gem_rnatool') class gem(object): """\ The GEMtools RNAseq Mapping Pipeline Usage: gem -f <fastq_file> -i <genome_index> Inputs: -f, --fastq <fastq_file> The input fastq -i, --index <genome_index> The GEM index file for the genome """ def get_command(self): return 'bash', 'gemtools rna-pipeline ${options()}' @jip.pipeline('grape_gem_setup') class SetupPipeline(object): """\ The GEM indexes setup pipeline usage: setup -i <genome> Options: -i, --input <genome> The input reference genome """ def init(self): self.add_output('index', '${input|ext}.gem') def pipeline(self): p = jip.Pipeline() index = p.run('grape_gem_index', input=self.input, output=self.index) p.context(locals()) return p @jip.pipeline('grape_gem_rnapipeline') class GrapePipeline(object): """\ The default GRAPE RNAseq pipeline usage: rnaseq -f <fastq_file> -g <genome> Inputs: -f, --fastq <fastq_file> The input reference genome -g, --genome <genome_index> The input reference genome """ def pipeline(self): p = jip.Pipeline() gem_setup = p.run('grape_gem_setup', input=self.genome) gem = p.run('grape_gem_rnatool', index=gem_setup.index, fastq=self.fastq) p.context(locals()) return p p = jip.Pipeline() node = p.run('grape_gem_rnapipeline') node.fastq = 'reads_1.fastq.gz' node.genome = 'genome.fa' jobs = jip.create_jobs(p, validate=False) assert len(jobs) == 2 gem_job = filter(lambda x: x.name == 'gem', jobs)[0] assert gem_job is not None assert gem_job.configuration['index'].get().endswith('genome.gem') def test_embedded_pipelines_stage_one(tmpdir): tmpdir = str(tmpdir) # laod teh embedded example jip.scanner.add_module('examples/embedded_submission/embedded.py') jip.scanner.scan_modules() p = jip.Pipeline() p.job(dir=tmpdir).run('example_embedded') jobs = jip.create_jobs(p) assert jobs[0].configuration['prefix'] == 'test' assert jobs[0].configuration['output'] == [ os.path.join(tmpdir, 'test.*') ] assert len(jobs) == 1 def test_embedded_pipelines_stage_two(tmpdir): tmpdir = str(tmpdir) # create stage one output open(os.path.join(tmpdir, 'test.1'), 'a').close() open(os.path.join(tmpdir, 'test.2'), 'a').close() open(os.path.join(tmpdir, 'test.3'), 'a').close() open(os.path.join(tmpdir, 'test.4'), 'a').close() open(os.path.join(tmpdir, 'test.5'), 'a').close() # laod teh embedded example jip.scanner.add_module('examples/embedded_submission/embedded.py') jip.scanner.scan_modules() p = jip.Pipeline() p.job(dir=tmpdir).run('example_embedded') jobs = jip.create_jobs(p) assert len(jobs) == 8 assert jobs[0].configuration['prefix'] == 'test' print ">>>OUTPUT", jobs[0].configuration['output'].raw() print ">>>TMPDIR", tmpdir assert jobs[0].configuration['output'] == [ os.path.join(tmpdir, 'test.1'), os.path.join(tmpdir, 'test.2'), os.path.join(tmpdir, 'test.3'), os.path.join(tmpdir, 'test.4'), os.path.join(tmpdir, 'test.5'), ] assert jobs[1].configuration['input'] == os.path.join(tmpdir, 'test.1') assert jobs[2].configuration['input'] == os.path.join(tmpdir, 'test.2') assert jobs[3].configuration['input'] == os.path.join(tmpdir, 'test.3') assert jobs[4].configuration['input'] == os.path.join(tmpdir, 'test.4') assert jobs[5].configuration['input'] == os.path.join(tmpdir, 'test.5') print jobs[6].configuration['input'].raw() assert jobs[6].configuration['input'] == [ os.path.join(tmpdir, 'consumed_test.1'), os.path.join(tmpdir, 'consumed_test.2'), os.path.join(tmpdir, 'consumed_test.3'), os.path.join(tmpdir, 'consumed_test.4'), os.path.join(tmpdir, 'consumed_test.5'), ] def test_dynamic_options(): script = '''#!/usr/bin/env jip # Touch a number of files with a common prefix # # usage: # touch --prefix <prefix> --count <count> #%begin init add_output('output') #%end #%begin setup options['output'].set(["%s_%s" % (prefix, i) for i in range(1, count.get(int) + 1)]) #%end #%begin command for x in ${output}; do touch $x done ''' tool = jip.tools.ScriptTool.from_string(script) tool.init() assert tool is not None p = jip.Pipeline() node = p.job('test').run(tool, prefix='test', count=5) assert node is not None p.expand() assert len(p) == 1 node = p.get('test') assert node.prefix == 'test' cwd = os.getcwd() assert node.output == [os.path.join(cwd, x) for x in ['test_1', 'test_2', 'test_3', 'test_4', 'test_5']] def test_dynamic_options_multiplex(): script = '''#!/usr/bin/env jip # Touch a number of files with a common prefix # # usage: # touch --prefix <prefix> --count <count> #%begin init add_output('output') #%end #%begin setup options['output'].set(["%s_%s" % (prefix, i) for i in range(1, count.get(int) + 1)]) #%end #%begin command for x in ${output}; do touch $x done ''' tool = jip.tools.ScriptTool.from_string(script) tool.init() assert tool is not None p = jip.Pipeline() node = p.job('test').run(tool, prefix='test', count=[1, 2]) assert node is not None p.expand() cwd = os.getcwd() assert len(p) == 2 node_1 = p.get('test.0') node_2 = p.get('test.1') assert node_1.output == os.path.join(cwd, 'test_1') assert node_2.output == [os.path.join(cwd, x) for x in ['test_1', 'test_2']] def test_hello_world_py_fun(tmpdir): tmpdir = str(tmpdir) jip.scanner.add_module('examples/hello_world/hello_world.py') jip.scanner.scan_modules() p = jip.Pipeline() p.job(dir=tmpdir).run('fun_hello_world_py') jobs = jip.create_jobs(p) assert len(jobs) == 1 def test_hello_world_py_cls(tmpdir): tmpdir = str(tmpdir) jip.scanner.add_module('examples/hello_world/hello_world.py') jip.scanner.scan_modules() p = jip.Pipeline() p.job(dir=tmpdir).run('cls_hello_world_py') jobs = jip.create_jobs(p) assert len(jobs) == 1 def test_file_touch(): p = jip.Pipeline() node = p.run('examples/file_touch.jip', p='test', c=5) p.expand() cwd = os.getcwd() j = os.path.join assert node.output == [ j(cwd, 'test_' + x) for x in ['1', '2', '3', '4', '5'] ] def test_pipeline_to_pipeline_edge_delegation(): @jip.tool('grape_gem_index') class GemIndex(object): """\ The GEM Indexer tool Usage: gem_index -i <genome> [-o <genome_index>] Options: -o, --output <genome_index> The output GEM index file [default: ${input|ext}.gem] -i, --input <genome> The fasta file for the genome """ def get_command(self): return "bash", "gemtools index ${options()}" @jip.tool('grape_gem_rnatool') class gem(object): """\ The GEMtools RNAseq Mapping Pipeline Usage: gem -f <fastq_file> -i <genome_index> Inputs: -f, --fastq <fastq_file> The input fastq -i, --index <genome_index> The GEM index file for the genome """ def get_command(self): return 'bash', 'gemtools rna-pipeline ${options()}' @jip.pipeline('grape_gem_setup') class SetupPipeline(object): """\ The GEM indexes setup pipeline usage: setup -i <genome> Options: -i, --input <genome> The input reference genome """ def init(self): self.add_output('index', '${input|ext}.gem') def pipeline(self): p = jip.Pipeline() index = p.run('grape_gem_index', input=self.input, output=self.index) p.context(locals()) return p @jip.pipeline('grape_gem_rnapipeline') class GrapePipeline(object): """\ The default GRAPE RNAseq pipeline usage: rnaseq -f <fastq_file> -g <genome> Inputs: -f, --fastq <fastq_file> The input reference genome -g, --genome <genome_index> The input reference genome """ def pipeline(self): p = jip.Pipeline() gem_setup = p.run('grape_gem_setup', input=self.genome) gem = p.run('grape_gem_rnatool', index=gem_setup.index, fastq=self.fastq) p.context(locals()) return p p = jip.Pipeline() node = p.run('grape_gem_rnapipeline') node.fastq = 'reads_1.fastq.gz' node.genome = 'genome.fa' p.expand(validate=False) index = p.get('index') gem_node = p.get('gem') cwd = os.getcwd() j = os.path.join assert index.has_outgoing(gem_node, link=('output', 'index'), value=j(cwd, 'genome.gem')) def test_subpipe_incoming_edge_resolve(): @jip.pipeline() def subedge_pipe(tool): """Subedge usage: subedge --input <input> """ p = jip.Pipeline() p.job('ls').bash('ls ${input}', input=tool.input) return p p = jip.Pipeline() produce = p.job('touch').bash('touch ${outfile}', outfile='out.dat') p.run('subedge_pipe', input=produce.outfile) p.expand(validate=False) touch = p.get('touch') ls = p.get('ls') cwd = os.getcwd() j = os.path.join assert touch.has_outgoing(ls, link=('outfile', 'input'), value=j(cwd, 'out.dat')) def test_subpipe_incoming_edge_resolve_pipe_to_pipe(): @jip.pipeline() def subedge_pipe_1(tool): """Subedge usage: subedge --input <input> --output <output> """ p = jip.Pipeline() p.job('p1').bash('touch', input=tool.input, output=tool.output) return p @jip.pipeline() def subedge_pipe_2(tool): """Subedge usage: subedge --input <input> --output <output> """ p = jip.Pipeline() p.job('p2').bash('touch', input=tool.input, output=tool.output) return p @jip.pipeline() def subedge_pipe_combine(tool): """Subedge usage: subedge --input <input> --output <output> """ p = jip.Pipeline() p1 = p.run('subedge_pipe_1', input=tool.input, output='p1.out') p.run('subedge_pipe_2', input=p1, output=tool.output) return p p = jip.Pipeline() p.run('subedge_pipe_combine', input='a.txt', output="out.dat") p.expand(validate=False) assert len(p) == 2 p1 = p.get('p1') p2 = p.get('p2') cwd = os.getcwd() j = os.path.join assert p1.has_outgoing(p2) assert p1.has_outgoing(p2, value=j(cwd, 'out.dat')) assert p1.has_outgoing(p2, link=('output', 'input'), value=j(cwd, 'p1.out')) if __name__ == '__main__': unittest.main()

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a7a446cc031a772e0161ab65df22e6e147650f83

451

py

Python

examples/async.py

roslovets/SP110E

69b1bf71ee8a3f6355c2f6c9903f74bf1e54e9fd

[ "MIT" ]

6

2021-11-09T04:51:09.000Z

2022-02-21T20:53:12.000Z

examples/async.py

roslovets/SP110E

69b1bf71ee8a3f6355c2f6c9903f74bf1e54e9fd

[ "MIT" ]

1

2021-11-27T12:34:44.000Z

examples/async.py

roslovets/SP110E

69b1bf71ee8a3f6355c2f6c9903f74bf1e54e9fd

[ "MIT" ]

null

import asyncio from sp110e.controller import Controller async def main(): device = Controller('AF:00:10:01:C8:AF', timeout=2, retries=1) await device.switch_on() await device.set_brightness(255) await device.set_color([0, 255, 0]) await device.set_white(0) await device.set_speed(10) await device.set_mode(1) await device.switch_off() await device.disconnect() if __name__ == "__main__": asyncio.run(main())

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null

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a7a5d061bbe74a0821d3dc3b08305f6a19d6a359

338

py

Python

python/truck-tour.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

21

2015-02-09T18:08:38.000Z

2021-11-08T15:00:48.000Z

python/truck-tour.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

7

2020-04-12T23:00:19.000Z

2021-01-30T23:44:24.000Z

python/truck-tour.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

27

2015-07-22T18:08:12.000Z

2022-02-28T19:50:26.000Z

current_petrol = 0 current_position = 0 n = int(input().strip()) for i in range(n): petrol, distance = map(int, input().strip().split(' ')) current_petrol += petrol if (current_petrol > distance): current_petrol -= distance else: current_petrol = 0 current_position = i print(current_position + 1)

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null

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2

a7a65e2c05d1a99b6f51a2d05a82479bc7d0ace8

163

py

Python

lib/assembly/config.py

olsonanl/assembly

6bcecac2ba7de826d2a4625964b02c348e7ce4e9

[ "MIT" ]

null

lib/assembly/config.py

olsonanl/assembly

6bcecac2ba7de826d2a4625964b02c348e7ce4e9

[ "MIT" ]

null

lib/assembly/config.py

olsonanl/assembly

6bcecac2ba7de826d2a4625964b02c348e7ce4e9

[ "MIT" ]

null

APPNAME = 'assembly' APPAUTHOR = 'kbase' URL = 'http://kbase.us/services/assembly' AUTH_SERVICE = 'KBase' OAUTH_EXP_DAYS = 14 OAUTH_FILENAME = 'globus_oauth.prop'

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null

0

1

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null

0

2

a7b0c0f28cc26f789c7d38788bbc3f2a7fe72c41

210

py

Python

desktop/core/ext-py/depender/mootools/urls.py

civascu/hue

82f2de44789ff5a981ed725175bae7944832d1e9

[ "Apache-2.0" ]

2

2021-04-27T03:57:00.000Z

2021-06-18T09:39:58.000Z

desktop/core/ext-py/depender/mootools/urls.py

civascu/hue

82f2de44789ff5a981ed725175bae7944832d1e9

[ "Apache-2.0" ]

null

desktop/core/ext-py/depender/mootools/urls.py

civascu/hue

82f2de44789ff5a981ed725175bae7944832d1e9

[ "Apache-2.0" ]

2

2021-09-06T18:44:45.000Z

2022-02-24T04:10:10.000Z

from django.conf.urls.defaults import patterns, include urlpatterns = patterns('', (r'^depender/', include('depender.urls')), (r'^$', 'django.views.generic.simple.redirect_to', {'url': 'depender/'}) )

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null

0

1

0

null

0

2

a7cf16fc9edf04485b6db4cb8b986e5c30add838

162

py

Python

openpeerpower/generated/mqtt.py

pcaston/core

e74d946cef7a9d4e232ae9e0ba150d18018cfe33

[ "Apache-2.0" ]

1

2021-07-08T20:09:55.000Z

openpeerpower/generated/mqtt.py

pcaston/core

e74d946cef7a9d4e232ae9e0ba150d18018cfe33

[ "Apache-2.0" ]

47

2021-02-21T23:43:07.000Z

2022-03-31T06:07:10.000Z

openpeerpower/generated/mqtt.py

OpenPeerPower/core

f673dfac9f2d0c48fa30af37b0a99df9dd6640ee

[ "Apache-2.0" ]

null

"""Automatically generated by oppfest. To update, run python3 -m script.oppfest """ # fmt: off MQTT = { "tasmota": [ "tasmota/discovery/#" ] }

12.461538

40

0.592593

17

162

5.647059

0.882353

0

0.008264

0.253086

162

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41

13.5

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false

0

1

0

null

0

1

0

null

0

2

a7db9ec64f3d4ec62dc924e2e879dd99f71c7899

328

py

Python

scripts/update.py

helto4real/container

b19670341117fbe2d8d9940d9838625f32f2ace7

[ "MIT" ]

null

scripts/update.py

helto4real/container

b19670341117fbe2d8d9940d9838625f32f2ace7

[ "MIT" ]

null

scripts/update.py

helto4real/container

b19670341117fbe2d8d9940d9838625f32f2ace7

[ "MIT" ]

null

from scripts.helpers.packages import ( update_alpine_packages, update_base_images, update_python_packages, ) from scripts.helpers.update_feature_packages import update_s6, update_netcore update_netcore("3.1") update_netcore("5.0") update_s6() update_base_images() update_alpine_packages() update_python_packages()

21.866667

77

0.814024

44

328

5.636364

0.386364

0.157258

0.145161

0.209677

0

0.020339

0.10061

328

14

78

23.428571

0.820339

0

0.018293

0

1

0

true

0

0.166667

0

0.166667

0

null

0

1

0

null

0

1

0

2

38f89a3ada82137ce2f707d5f6f8bad89821c4b2

279

py

Python

social_tracker_library/__init__.py

jdnascim/social-tracker-library

b98da89683e5b277e0fd51cecd61d2e983f1d473

[ "MIT" ]

1

2019-10-17T16:45:02.000Z

social_tracker_library/__init__.py

jdnascim/social-tracker-library

b98da89683e5b277e0fd51cecd61d2e983f1d473

[ "MIT" ]

null

social_tracker_library/__init__.py

jdnascim/social-tracker-library

b98da89683e5b277e0fd51cecd61d2e983f1d473

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Wherever smart people work, doors are unlocked. -- Steve Wozniak """ __title__ = 'social_tracker_library' __author__ = 'José Nascimento' from .collection import collection from .extractor import extractor from .query_expansion import query_expansion

25.363636

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0.767025

33

279

6.121212

0.757576

0.138614

0

0.004132

0.132616

279

10

65

27.9

0.830579

0.311828

0

0.201087

0.119565

0

1

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false

0

0.6

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0.6

0

null

0

null

0

1

0

1

0

2

38f8d36d478f51367579c144ebd7a7ce3ddc1ccd

2,526

py

Python

tests/acceptance/staff_assistance/staff_assistance_sitedata.py

Chinchu-Thambi/YellowWorks

161199fe5b2864287697b0b6eafd4fb6a234bb71

[ "MIT" ]

null

tests/acceptance/staff_assistance/staff_assistance_sitedata.py

Chinchu-Thambi/YellowWorks

161199fe5b2864287697b0b6eafd4fb6a234bb71

[ "MIT" ]

null

tests/acceptance/staff_assistance/staff_assistance_sitedata.py

Chinchu-Thambi/YellowWorks

161199fe5b2864287697b0b6eafd4fb6a234bb71

[ "MIT" ]

null

# ----------------------------------------------------------------------------- # Staff Assistance Flow # ----------------------------------------------------------------------------- staff_assistance_customer_email_inputtext = "xpath=//*[@id='emailInput']" staff_assistance_company_input = "//*[@id='customerInput']" staff_assistance_company_dropdown = "xpath=//*[@id='customerInput']/div/div[2]/div" staff_assistance_company_select_button = "xpath=//button[contains(text(),'Done')]" staff_assistance_company_dropdown_option_01 = "xpath=//div[contains(@class,' css-1n7v3ny-option')]" staff_assistance_changed_company_dropdown_option_01 = "xpath=//div[contains(@class,' css-yt9ioa-option')]" staff_assistance_changed_company_dropdown_option_02 = "xpath=//div[contains(@class,' css-1n7v3ny-option')]" staff_assistance_header_banner_change_link = "xpath=//a[contains(text(),'Change')]" staff_assistance_email_address_label = "xpath=//*[contains(@data-testid,'currentAccountEmail')]" staff_assistance_currently_access_label = "xpath=//*[@id='gatsby-focus-wrapper']/div[4]/div/div/span" staff_assistance_company_email_label = "xpath=//*[contains(@data-testid,'companyEmail')]" staff_assistance_company_name_label = "xpath=//*[contains(@data-testid,'companyName')]" staff_assistance_header_text_label = "You are currently acting on behalf of" staff_assistance_customer_email_address_01 = "kumindu777+yellowms@gmail.com" staff_assistance_header_company_name_label_0101 = "Yellow NZ Advertising MS" staff_assistance_customer_email_address_02 = "kumindu777+yellowsa@gmail.com" staff_assistance_header_company_name_label_0201 = "Test Business Search Ads Go Live" staff_assistance_header_company_link = "xpath=//a[contains(@href, '/my-yellow/choose-customer')]" staff_assistance_customer_email_address_03 = "kumindu777+fingoo@gmail.com" staff_assistance_header_company_name_label_0301 = "Ian Charle Langdon" staff_assistance_header_company_name_label_0302 = "Sriwis Foods" staff_assistance_select_button = "//a[contains(text(),'Select')]"

97.153846

125

0.602534

241

2,526

5.892116

0.344398

0.242958

0.103521

0.098592

0.416197

0.283099

0.257042

0.217606

0.122535

0

0.023785

0.234363

2,526

25

126

101.04

0.710445

0.070071

0

0.351386

0.288699

0

1

0

false

0

null

1

0

1

0

null

0

2

38fb49f1875f2265e7e0b4dac0a06e367d246f3f

3,914

py

Python

ros/src/tl_detector/light_classification/tl_classifier.py

alexeysas/CarND-Capstone

353ae36b9b1ec6f7d233c72197ef0d8fa00506b0

[ "MIT" ]

null

ros/src/tl_detector/light_classification/tl_classifier.py

alexeysas/CarND-Capstone

353ae36b9b1ec6f7d233c72197ef0d8fa00506b0

[ "MIT" ]

null

ros/src/tl_detector/light_classification/tl_classifier.py

alexeysas/CarND-Capstone

353ae36b9b1ec6f7d233c72197ef0d8fa00506b0

[ "MIT" ]

null

import cv2 import numpy as np import tensorflow as tf from styx_msgs.msg import TrafficLight import rospy traffic_pattern = -1 class TLClassifier(object): def __init__(self): print(tf.__version__) self.detection_graph = tf.Graph() with self.detection_graph.as_default() as graph: od_graph_def = tf.GraphDef() with tf.gfile.GFile("light_classification/tlc_model/frozen_inference_graph.pb", 'rb') as fid: serialized_graph = fid.read() od_graph_def.ParseFromString(serialized_graph) tf.import_graph_def(od_graph_def, name='') with tf.Session() as sess: self.tensor_dict = {} self.tensor_dict['detection_scores'] = tf.get_default_graph().get_tensor_by_name('detection_scores:0') self.tensor_dict['detection_classes'] = tf.get_default_graph().get_tensor_by_name('detection_classes:0') self.image_tensor = tf.get_default_graph().get_tensor_by_name('image_tensor:0') self.sess = tf.Session(graph=graph) def get_classification(self, image): global traffic_pattern image = cv2.resize(image[:,:,::-1],(400, 400), cv2.INTER_CUBIC) final_image = np.expand_dims(image, 0) output_dict = self.sess.run(self.tensor_dict, feed_dict={self.image_tensor: final_image}) output_dict['detection_classes'] = output_dict['detection_classes'][0].astype(np.uint8) output_dict['detection_scores'] = output_dict['detection_scores'][0] score = output_dict['detection_scores'][0] if score > 0.4: num = output_dict['detection_classes'][0] -1 else: num = 6 if score > 0.55 and traffic_pattern == -1: if num < 3: traffic_pattern = 1 else: traffic_pattern = 2 print(" ", num, score) if num == 6: return 4 else: if (traffic_pattern == 1 and num < 3) or (traffic_pattern == 2 and num > 2) : return num % 3 else: return 4 return num def __init__1(self): #TODO load classifier with tf.gfile.GFile('light_classification/tlc_model/tlc_model.pb', "rb") as f: graph_def = tf.GraphDef() graph_def.ParseFromString(f.read()) with tf.Graph().as_default() as graph: tf.import_graph_def( graph_def, input_map=None, return_elements=None, name='tlc', op_dict=None, producer_op_list=None) self.image = graph.get_tensor_by_name('tlc/images:0') self.keep_prob = graph.get_tensor_by_name('tlc/keep_prob:0') self.pred = graph.get_tensor_by_name('tlc/predict:0') self.sess = tf.Session(graph=graph) self.counter = 0 def get_classification1(self, image): """Determines the color of the traffic light in the image Args: image (cv::Mat): image containing the traffic light Returns: int: ID of traffic light color (specified in styx_msgs/TrafficLight) """ #TODO implement light color prediction image = cv2.resize(image, dsize=(40, 40)) image = cv2.normalize(image.astype('float'), None, -0.5, .5, cv2.NORM_MINMAX) feed_dict = {self.image: [image], self.keep_prob: 1.} lid = self.sess.run(self.pred, feed_dict=feed_dict)[0] lid = 4 if lid == 3 else lid # For debugging light = {2: 'green', 0: 'red', 1: 'yellow', 4: 'unknown'} self.counter += 1 print self.counter, light[lid] return lid

36.240741

120

0.568983

479

3,914

4.411273

0.263048

0.034075

0.039754

0.045433

0.241363

0.15381

0.121155

0.094652

0.038807

0

0.02427

0.326265

3,914

107

121

36.579439

0.777019

0.020184

0

0.105263

0

0.119599

0.0276

0

0.018692

0

null

0

0.092105

null

0.039474

0

null

0

null

0

1

0

1

0

2

ac026e007f5218fda7723080a658b5cc1c2aeacd

254

py

Python

utils.py

theeluwin/wpe

7dd8ee281beedaa482166cf189e16fd2763beac0

[ "MIT" ]

6

2018-04-02T02:12:43.000Z

2022-03-19T13:59:33.000Z

utils.py

theeluwin/wpe

7dd8ee281beedaa482166cf189e16fd2763beac0

[ "MIT" ]

1

2021-07-17T13:13:43.000Z

2021-07-22T01:06:02.000Z

utils.py

theeluwin/wpe

7dd8ee281beedaa482166cf189e16fd2763beac0

[ "MIT" ]

null

# -*- coding: utf-8 -*- import codecs class Corpus(object): def __init__(self, filepath): self.source = codecs.open(filepath, 'r', encoding='utf-8') def __iter__(self): for line in self.source: yield line.strip()

18.142857

66

0.594488

32

254

4.46875

0.6875

0.055944

0

0.010638

0.259843

254

13

67

19.538462

0.75

0.082677

0

0.025974

0

1

0.285714

false

0

0.142857

0

0.571429

0

null

0

null

0

1

0

1

0

2

ac39be4d156aae5c28065cc2d5032acb1f349890

1,169

py

Python

klustakwik2/tests/test_partitioning.py

kwikteam/klustakwik2

415c945fa795f62f6dad4d017ccd59323a719d51

[ "BSD-3-Clause" ]

15

2015-07-04T05:38:48.000Z

2021-05-28T14:01:56.000Z

klustakwik2/tests/test_partitioning.py

kwikteam/klustakwik2

415c945fa795f62f6dad4d017ccd59323a719d51

[ "BSD-3-Clause" ]

45

2015-05-28T15:50:16.000Z

2022-02-23T11:43:21.000Z

klustakwik2/tests/test_partitioning.py

kwikteam/klustakwik2

415c945fa795f62f6dad4d017ccd59323a719d51

[ "BSD-3-Clause" ]

17

2015-05-29T16:16:35.000Z

2020-11-16T06:52:23.000Z

from numpy import * from klustakwik2 import * from numpy.testing import assert_raises, assert_array_almost_equal, assert_array_equal from nose import with_setup from nose.tools import nottest from numpy.random import randint, rand from six.moves import range from .test_mask_starts import generate_multimask_test_data def test_partitioning(): for _ in range(100): # actually we only need to generate some arbitrary data, the values don't matter much data = generate_multimask_test_data(10, 10, 5) kk = KK(data) clusters = [0, 1, 0, 2, 0, 2, 0, 3, 0, 3] kk.initialise_clusters(clusters) assert_array_equal(kk.num_cluster_members, [5, 1, 2, 2]) assert_array_equal(kk.get_spikes_in_cluster(0), [0, 2, 4, 6, 8]) assert_array_equal(kk.get_spikes_in_cluster(1), [1]) assert_array_equal(kk.get_spikes_in_cluster(2), [3, 5]) assert_array_equal(kk.get_spikes_in_cluster(3), [7, 9]) assert_array_equal(kk.spikes_in_cluster, [0, 2, 4, 6, 8, 1, 3, 5, 7, 9]) assert_array_equal(kk.spikes_in_cluster_offset, [0, 5, 6, 8, 10]) if __name__=='__main__': test_partitioning()

40.310345

93

0.701454

189

1,169

4.021164

0.359788

0.130263

0.168421

0.165789

0.294737

0.281579

0.092105

0

0.056323

0.195038

1,169

28

94

41.75

0.751328

0.071001

0

0.00738

0

0.347826

1

0.043478

false

0

0.347826

0

0.391304

0

null

0

1

0

null

0

1

0

2

ac537e1bedc49ad91c3e581ccbf1c056416dbbc6

106

py

Python

InputDataExample.py

ZnoKunG/PythonProject

388b5dfeb0161aee66094e7b2ecc2d6ed13588bd

[ "MIT" ]

null

InputDataExample.py

ZnoKunG/PythonProject

388b5dfeb0161aee66094e7b2ecc2d6ed13588bd

[ "MIT" ]

null

InputDataExample.py

ZnoKunG/PythonProject

388b5dfeb0161aee66094e7b2ecc2d6ed13588bd

[ "MIT" ]

null

FirstNum = input("1st Number : ") SecondNum = input("2nd Number ; ") print(int(FirstNum) + int(SecondNum))

35.333333

37

0.688679

13

106

5.615385

0.615385

0

0.021739

0.132075

106

3

37

35.333333

0.771739

0

0.242991

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

ac55728d5d7b0721be4a5964aa99725fa6b33cb4

71

py

Python

AutomateTheBoringStuff/ex2-7-8.py

kevindeng123/Programming

a06e9f7773fc083bcb153af21e6e9942a4114b4a

[ "MIT" ]

null

AutomateTheBoringStuff/ex2-7-8.py

kevindeng123/Programming

a06e9f7773fc083bcb153af21e6e9942a4114b4a

[ "MIT" ]

null

AutomateTheBoringStuff/ex2-7-8.py

kevindeng123/Programming

a06e9f7773fc083bcb153af21e6e9942a4114b4a

[ "MIT" ]

null

total = 0 for num in range(101): total = total + num print (total)

14.2

23

0.633803

12

71

3.75

0.666667

0

0.075472

0.253521

71

4

24

17.75

0.773585

0

1

0

false

0

0.25

1

0

null

0

1

0

null

0

2

ac5b0fd3f22b98ef853e0ab66e872be1c1011271

8,613

py

Python

src/oci/bds/models/add_worker_nodes_details.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/bds/models/add_worker_nodes_details.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/bds/models/add_worker_nodes_details.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

[ "Apache-2.0", "BSD-3-Clause" ]

null

# coding: utf-8 # Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class AddWorkerNodesDetails(object): """ The information about added nodes. """ #: A constant which can be used with the node_type property of a AddWorkerNodesDetails. #: This constant has a value of "WORKER" NODE_TYPE_WORKER = "WORKER" #: A constant which can be used with the node_type property of a AddWorkerNodesDetails. #: This constant has a value of "COMPUTE_ONLY_WORKER" NODE_TYPE_COMPUTE_ONLY_WORKER = "COMPUTE_ONLY_WORKER" def __init__(self, **kwargs): """ Initializes a new AddWorkerNodesDetails object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param cluster_admin_password: The value to assign to the cluster_admin_password property of this AddWorkerNodesDetails. :type cluster_admin_password: str :param number_of_worker_nodes: The value to assign to the number_of_worker_nodes property of this AddWorkerNodesDetails. :type number_of_worker_nodes: int :param node_type: The value to assign to the node_type property of this AddWorkerNodesDetails. Allowed values for this property are: "WORKER", "COMPUTE_ONLY_WORKER" :type node_type: str :param shape: The value to assign to the shape property of this AddWorkerNodesDetails. :type shape: str :param block_volume_size_in_gbs: The value to assign to the block_volume_size_in_gbs property of this AddWorkerNodesDetails. :type block_volume_size_in_gbs: int :param shape_config: The value to assign to the shape_config property of this AddWorkerNodesDetails. :type shape_config: oci.bds.models.ShapeConfigDetails """ self.swagger_types = { 'cluster_admin_password': 'str', 'number_of_worker_nodes': 'int', 'node_type': 'str', 'shape': 'str', 'block_volume_size_in_gbs': 'int', 'shape_config': 'ShapeConfigDetails' } self.attribute_map = { 'cluster_admin_password': 'clusterAdminPassword', 'number_of_worker_nodes': 'numberOfWorkerNodes', 'node_type': 'nodeType', 'shape': 'shape', 'block_volume_size_in_gbs': 'blockVolumeSizeInGBs', 'shape_config': 'shapeConfig' } self._cluster_admin_password = None self._number_of_worker_nodes = None self._node_type = None self._shape = None self._block_volume_size_in_gbs = None self._shape_config = None @property def cluster_admin_password(self): """ **[Required]** Gets the cluster_admin_password of this AddWorkerNodesDetails. Base-64 encoded password for the cluster (and Cloudera Manager) admin user. :return: The cluster_admin_password of this AddWorkerNodesDetails. :rtype: str """ return self._cluster_admin_password @cluster_admin_password.setter def cluster_admin_password(self, cluster_admin_password): """ Sets the cluster_admin_password of this AddWorkerNodesDetails. Base-64 encoded password for the cluster (and Cloudera Manager) admin user. :param cluster_admin_password: The cluster_admin_password of this AddWorkerNodesDetails. :type: str """ self._cluster_admin_password = cluster_admin_password @property def number_of_worker_nodes(self): """ **[Required]** Gets the number_of_worker_nodes of this AddWorkerNodesDetails. Number of additional worker nodes for the cluster. :return: The number_of_worker_nodes of this AddWorkerNodesDetails. :rtype: int """ return self._number_of_worker_nodes @number_of_worker_nodes.setter def number_of_worker_nodes(self, number_of_worker_nodes): """ Sets the number_of_worker_nodes of this AddWorkerNodesDetails. Number of additional worker nodes for the cluster. :param number_of_worker_nodes: The number_of_worker_nodes of this AddWorkerNodesDetails. :type: int """ self._number_of_worker_nodes = number_of_worker_nodes @property def node_type(self): """ **[Required]** Gets the node_type of this AddWorkerNodesDetails. Worker node types, can either be Worker Data node or Compute only worker node. Allowed values for this property are: "WORKER", "COMPUTE_ONLY_WORKER" :return: The node_type of this AddWorkerNodesDetails. :rtype: str """ return self._node_type @node_type.setter def node_type(self, node_type): """ Sets the node_type of this AddWorkerNodesDetails. Worker node types, can either be Worker Data node or Compute only worker node. :param node_type: The node_type of this AddWorkerNodesDetails. :type: str """ allowed_values = ["WORKER", "COMPUTE_ONLY_WORKER"] if not value_allowed_none_or_none_sentinel(node_type, allowed_values): raise ValueError( "Invalid value for `node_type`, must be None or one of {0}" .format(allowed_values) ) self._node_type = node_type @property def shape(self): """ Gets the shape of this AddWorkerNodesDetails. Shape of the node. This has to be specified when adding compute only worker node at the first time. Otherwise, it's a read-only property. :return: The shape of this AddWorkerNodesDetails. :rtype: str """ return self._shape @shape.setter def shape(self, shape): """ Sets the shape of this AddWorkerNodesDetails. Shape of the node. This has to be specified when adding compute only worker node at the first time. Otherwise, it's a read-only property. :param shape: The shape of this AddWorkerNodesDetails. :type: str """ self._shape = shape @property def block_volume_size_in_gbs(self): """ Gets the block_volume_size_in_gbs of this AddWorkerNodesDetails. The size of block volume in GB to be attached to the given node. This has to be specified when adding compute only worker node at the first time. Otherwise, it's a read-only property. :return: The block_volume_size_in_gbs of this AddWorkerNodesDetails. :rtype: int """ return self._block_volume_size_in_gbs @block_volume_size_in_gbs.setter def block_volume_size_in_gbs(self, block_volume_size_in_gbs): """ Sets the block_volume_size_in_gbs of this AddWorkerNodesDetails. The size of block volume in GB to be attached to the given node. This has to be specified when adding compute only worker node at the first time. Otherwise, it's a read-only property. :param block_volume_size_in_gbs: The block_volume_size_in_gbs of this AddWorkerNodesDetails. :type: int """ self._block_volume_size_in_gbs = block_volume_size_in_gbs @property def shape_config(self): """ Gets the shape_config of this AddWorkerNodesDetails. :return: The shape_config of this AddWorkerNodesDetails. :rtype: oci.bds.models.ShapeConfigDetails """ return self._shape_config @shape_config.setter def shape_config(self, shape_config): """ Sets the shape_config of this AddWorkerNodesDetails. :param shape_config: The shape_config of this AddWorkerNodesDetails. :type: oci.bds.models.ShapeConfigDetails """ self._shape_config = shape_config def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

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1,085

8,613

5.105991

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0.061733

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0.572202

0.440975

0.355415

0.337726

0.305054

0

0.003605

0.259259

8,613

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0.202532

false

0.101266

0.025316

0.392405

0

null

0

null

0

1

0

1

0

2

ac891ba15179ab5fee32bcbf76fbc9ba218b09c8

17,073

py

Python

pysnmp-with-texts/ZHONE-PHY-SONET-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/ZHONE-PHY-SONET-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/ZHONE-PHY-SONET-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module ZHONE-PHY-SONET-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZHONE-PHY-SONET-MIB # Produced by pysmi-0.3.4 at Wed May 1 15:47:49 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint") InterfaceIndex, = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") Unsigned32, Bits, Counter32, Gauge32, MibIdentifier, ObjectIdentity, Counter64, NotificationType, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn, iso, IpAddress, ModuleIdentity, TimeTicks = mibBuilder.importSymbols("SNMPv2-SMI", "Unsigned32", "Bits", "Counter32", "Gauge32", "MibIdentifier", "ObjectIdentity", "Counter64", "NotificationType", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "IpAddress", "ModuleIdentity", "TimeTicks") TextualConvention, TruthValue, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "TruthValue", "DisplayString") sonetMediumEntry, sonetPathCurrentStatus, sonetSectionCurrentStatus, sonetLineCurrentStatus = mibBuilder.importSymbols("SONET-MIB", "sonetMediumEntry", "sonetPathCurrentStatus", "sonetSectionCurrentStatus", "sonetLineCurrentStatus") zhoneModules, zhoneSonet = mibBuilder.importSymbols("Zhone", "zhoneModules", "zhoneSonet") phySonet = ModuleIdentity((1, 3, 6, 1, 4, 1, 5504, 6, 16)) phySonet.setRevisions(('2004-08-18 11:47', '2003-07-10 13:30', '2002-03-26 14:30', '2001-09-12 15:08', '2001-07-19 18:00', '2001-02-22 11:35', '2000-12-19 15:23', '2000-12-18 16:20',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: phySonet.setRevisionsDescriptions(('1.03.04 - Add zhoneSonetErrorStatsTable.', '1.03.02 Add sonetPathStatusChange trap.', '1.03.01 Add sonetSectionStatusChange trap and sonetLineStatusChange trap.', 'V01.03.00 Changed names for valid values for sonetClockTransmitSource', 'V01.02.00 Add Sonet clock source change trap.', 'V01.01.00 - Add Sonet Medium Extension Table.', 'V01.00.01 - Add Zhone keywords.', 'V01.00.00 - Initial Release',)) if mibBuilder.loadTexts: phySonet.setLastUpdated('200408181330Z') if mibBuilder.loadTexts: phySonet.setOrganization('Zhone Technologies, Inc.') if mibBuilder.loadTexts: phySonet.setContactInfo(' Postal: Zhone Technologies, Inc. @ Zhone Way 7001 Oakport Street Oakland, CA 94621 USA Toll-Free: +1 877-ZHONE20 (+1 877-946-6320) Tel: +1-510-777-7000 Fax: +1-510-777-7001 E-mail: support@zhone.com') if mibBuilder.loadTexts: phySonet.setDescription('SONET physical MIB to configure and monitor SONET physical attributes. ') sonetClockTable = MibTable((1, 3, 6, 1, 4, 1, 5504, 5, 9, 1), ) if mibBuilder.loadTexts: sonetClockTable.setStatus('current') if mibBuilder.loadTexts: sonetClockTable.setDescription('MIB table for clock related configuration for SONET interfaces.') sonetClockEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5504, 5, 9, 1, 1), ) sonetMediumEntry.registerAugmentions(("ZHONE-PHY-SONET-MIB", "sonetClockEntry")) sonetClockEntry.setIndexNames(*sonetMediumEntry.getIndexNames()) if mibBuilder.loadTexts: sonetClockEntry.setStatus('current') if mibBuilder.loadTexts: sonetClockEntry.setDescription('An entry of the sonetClockEntry. sonetClockEntry is augmented to sonetMediumEntry defined in rfc2558.mib. Whenever a row is instantiated in the sonetMediumTable, a corresponding row will be instantiated in the sonetClockTable.') sonetClockExternalRecovery = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: sonetClockExternalRecovery.setStatus('current') if mibBuilder.loadTexts: sonetClockExternalRecovery.setDescription("This variable indicates if external clock recovery is enabled for this SONET interface. The default value is 'enabled'.") sonetClockTransmitSource = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("loopTiming", 1), ("throughTiming", 2), ("localTiming", 3), ("external155MHz", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: sonetClockTransmitSource.setStatus('current') if mibBuilder.loadTexts: sonetClockTransmitSource.setDescription("This variable describes the SONET transmit clock source. Valid values are: loopTiming - transmit clock synthesized from the recovered receive clock. throughTiming - transmit clock is derived from the recovered receive clock of another SONET interface. localTiming - transmit clock synthesized from a local clock source or that an external clock is attached to the box containing the interface. external155MHz - transmit clock synthesized from an external 155.52 MHz source. The default value is 'loopTiming'. 'external155MHz' option is not valid for Sechtor 100.") sonetMediumExtTable = MibTable((1, 3, 6, 1, 4, 1, 5504, 5, 9, 2), ) if mibBuilder.loadTexts: sonetMediumExtTable.setStatus('current') if mibBuilder.loadTexts: sonetMediumExtTable.setDescription('This is an extenion of the standard Sonet MIB (RFC 2558).') sonetMediumExtEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5504, 5, 9, 2, 1), ) sonetMediumEntry.registerAugmentions(("ZHONE-PHY-SONET-MIB", "sonetMediumExtEntry")) sonetMediumExtEntry.setIndexNames(*sonetMediumEntry.getIndexNames()) if mibBuilder.loadTexts: sonetMediumExtEntry.setStatus('current') if mibBuilder.loadTexts: sonetMediumExtEntry.setDescription('Each row is an extension to the sonetMediumTable for Zhone specific fields. This row is created when the augmented sonetMediumEntry is created.') sonetMediumExtScrambleEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 2, 1, 1), TruthValue().clone('true')).setMaxAccess("readwrite") if mibBuilder.loadTexts: sonetMediumExtScrambleEnabled.setStatus('current') if mibBuilder.loadTexts: sonetMediumExtScrambleEnabled.setDescription('This field describes the enabled status of the Sonet Scramble mode. If this field is true(1) then Scramble mode is enabled, if this field is false(2) scramble mode is disable.') sonetMediumExtLineScrmEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 2, 1, 2), TruthValue().clone('true')).setMaxAccess("readwrite") if mibBuilder.loadTexts: sonetMediumExtLineScrmEnabled.setStatus('current') if mibBuilder.loadTexts: sonetMediumExtLineScrmEnabled.setDescription('This field describes the enabled status of the Line level Sonet Scramble mode. If this field is true(1), then Scramble mode is enabled. If this field is false(2), scramble mode is disable.') sonetTraps = ObjectIdentity((1, 3, 6, 1, 4, 1, 5504, 5, 9, 3)) if mibBuilder.loadTexts: sonetTraps.setStatus('current') if mibBuilder.loadTexts: sonetTraps.setDescription('All Zhone Sonet traps will be defined under this object identity.') sonetV2Traps = ObjectIdentity((1, 3, 6, 1, 4, 1, 5504, 5, 9, 3, 0)) if mibBuilder.loadTexts: sonetV2Traps.setStatus('current') if mibBuilder.loadTexts: sonetV2Traps.setDescription('This object identity adds a zero(0) for the next to last sub-identifier which should be used for new SNMPv2 Traps.') sonetClockTransmitSourceChange = NotificationType((1, 3, 6, 1, 4, 1, 5504, 5, 9, 3, 0, 1)).setObjects(("ZHONE-PHY-SONET-MIB", "sonetClockExternalRecovery"), ("ZHONE-PHY-SONET-MIB", "sonetClockTransmitSource")) if mibBuilder.loadTexts: sonetClockTransmitSourceChange.setStatus('current') if mibBuilder.loadTexts: sonetClockTransmitSourceChange.setDescription('A notification trap is sent when either sonetClockExternalRecovery or sonetClockTransmitSource is changed. The trap object is identified by the OID instance of sonetClockTransmitSource described in the OBJECTS clause.') sonetSectionStatusChange = NotificationType((1, 3, 6, 1, 4, 1, 5504, 5, 9, 3, 0, 2)).setObjects(("SONET-MIB", "sonetSectionCurrentStatus")) if mibBuilder.loadTexts: sonetSectionStatusChange.setStatus('current') if mibBuilder.loadTexts: sonetSectionStatusChange.setDescription('A notification trap is sent when there is a change in the sonet SECTION status. Currenly the following are supported: NO-DEFECT = 1 LOS = 2 LOF = 4 The trap object is identified by the OID instance of sonetSectionCurrentStatus described in the OBJECTS clause.') sonetLineStatusChange = NotificationType((1, 3, 6, 1, 4, 1, 5504, 5, 9, 3, 0, 3)).setObjects(("SONET-MIB", "sonetLineCurrentStatus")) if mibBuilder.loadTexts: sonetLineStatusChange.setStatus('current') if mibBuilder.loadTexts: sonetLineStatusChange.setDescription('A notification trap is sent when there is a change in the sonet LINE status. Currenly the following are supported: NO-DEFECT = 1 AIS = 2 RDI = 4 The trap object is identified by the OID instance of sonetLineCurrentStatus described in the OBJECTS clause.') sonetPathStatusChange = NotificationType((1, 3, 6, 1, 4, 1, 5504, 5, 9, 3, 0, 4)).setObjects(("SONET-MIB", "sonetPathCurrentStatus")) if mibBuilder.loadTexts: sonetPathStatusChange.setStatus('current') if mibBuilder.loadTexts: sonetPathStatusChange.setDescription('A notification trap is sent when there is a change in the sonetPathCurrentStatus. Currenly the following are supported: 1 sonetPathNoDefect 2 sonetPathSTSLOP 4 sonetPathSTSAIS 8 sonetPathSTSRDI 16 sonetPathUnequipped 32 sonetPathSignalLabelMismatch The trap object is identified by the OID instance of sonetPathCurrentStatus described in the OBJECTS clause.') zhoneSonetErrorStatsTable = MibTable((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6), ) if mibBuilder.loadTexts: zhoneSonetErrorStatsTable.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsTable.setDescription('Description.') zhoneSonetErrorStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1), ).setIndexNames((0, "ZHONE-PHY-SONET-MIB", "zhoneSonetErrorStatsIndex")) if mibBuilder.loadTexts: zhoneSonetErrorStatsEntry.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsEntry.setDescription('Description.') zhoneSonetErrorStatsIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 1), InterfaceIndex()) if mibBuilder.loadTexts: zhoneSonetErrorStatsIndex.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsIndex.setDescription('Description.') zhoneSonetErrorStatsLineFebeCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsLineFebeCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsLineFebeCount.setDescription('Number of RLOP far-end block errors (FEBE).') zhoneSonetErrorStatsPathFebeCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsPathFebeCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsPathFebeCount.setDescription('Number of RPOP far-end block errors (FEBE).') zhoneSonetErrorStatsLineBipCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsLineBipCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsLineBipCount.setDescription('Number of Receive Line Overhead Processor (RLOP) BIP-8 errors. The RLOP is responsible for line-level alarms and for monitoring performance.') zhoneSonetErrorStatsSectionBipCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsSectionBipCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsSectionBipCount.setDescription('Number of Receive Section Overhead Processor (RSOP) bit-interleaved parity (BIP)-8 errors. The RSOP synchronizes and descrambles frames and provides section-level alarms and performance monitoring.') zhoneSonetErrorStatsPathBipCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsPathBipCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsPathBipCount.setDescription('Number of Receive Path Overhead Processor (RPOP) BIP-8 errors. The RSOP interprets pointers and extracts path overhead and the synchronous payload envelope. It is also responsible for path-level alarms and for monitoring performance.') zhoneSonetErrorStatsOofCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsOofCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsOofCount.setDescription('Near end is out of frame. False indicates that the line is up and in frame.') zhoneSonetErrorStatsRxCellCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsRxCellCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsRxCellCount.setDescription('Receive ATM Cell Processor (RACP) receive cell count.') zhoneSonetErrorStatsTxCellCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsTxCellCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsTxCellCount.setDescription('Transmit ATM Cell Processor (TACP) transmit cell count.') zhoneSonetErrorStatsHecCorrectedCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsHecCorrectedCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsHecCorrectedCount.setDescription('Number of corrected HEC cells.') zhoneSonetErrorStatsHecUncorrectedCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsHecUncorrectedCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsHecUncorrectedCount.setDescription('Number of uncorrected dropped HEC cells.') zhoneSonetErrorStatsCellFifoOverflowCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsCellFifoOverflowCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsCellFifoOverflowCount.setDescription('Number of cells dropped because of first in, first out (FIFO) overflow.') zhoneSonetErrorStatsLocdCount = MibTableColumn((1, 3, 6, 1, 4, 1, 5504, 5, 9, 6, 1, 13), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zhoneSonetErrorStatsLocdCount.setStatus('current') if mibBuilder.loadTexts: zhoneSonetErrorStatsLocdCount.setDescription('Loss of cell delineation.') mibBuilder.exportSymbols("ZHONE-PHY-SONET-MIB", sonetLineStatusChange=sonetLineStatusChange, zhoneSonetErrorStatsPathBipCount=zhoneSonetErrorStatsPathBipCount, zhoneSonetErrorStatsSectionBipCount=zhoneSonetErrorStatsSectionBipCount, sonetTraps=sonetTraps, zhoneSonetErrorStatsPathFebeCount=zhoneSonetErrorStatsPathFebeCount, zhoneSonetErrorStatsRxCellCount=zhoneSonetErrorStatsRxCellCount, sonetMediumExtEntry=sonetMediumExtEntry, sonetMediumExtTable=sonetMediumExtTable, sonetClockEntry=sonetClockEntry, sonetSectionStatusChange=sonetSectionStatusChange, sonetClockExternalRecovery=sonetClockExternalRecovery, sonetClockTransmitSource=sonetClockTransmitSource, sonetMediumExtLineScrmEnabled=sonetMediumExtLineScrmEnabled, zhoneSonetErrorStatsHecCorrectedCount=zhoneSonetErrorStatsHecCorrectedCount, zhoneSonetErrorStatsTable=zhoneSonetErrorStatsTable, zhoneSonetErrorStatsIndex=zhoneSonetErrorStatsIndex, zhoneSonetErrorStatsLineFebeCount=zhoneSonetErrorStatsLineFebeCount, phySonet=phySonet, sonetV2Traps=sonetV2Traps, sonetMediumExtScrambleEnabled=sonetMediumExtScrambleEnabled, zhoneSonetErrorStatsEntry=zhoneSonetErrorStatsEntry, zhoneSonetErrorStatsLineBipCount=zhoneSonetErrorStatsLineBipCount, PYSNMP_MODULE_ID=phySonet, zhoneSonetErrorStatsHecUncorrectedCount=zhoneSonetErrorStatsHecUncorrectedCount, sonetPathStatusChange=sonetPathStatusChange, sonetClockTransmitSourceChange=sonetClockTransmitSourceChange, sonetClockTable=sonetClockTable, zhoneSonetErrorStatsCellFifoOverflowCount=zhoneSonetErrorStatsCellFifoOverflowCount, zhoneSonetErrorStatsOofCount=zhoneSonetErrorStatsOofCount, zhoneSonetErrorStatsLocdCount=zhoneSonetErrorStatsLocdCount, zhoneSonetErrorStatsTxCellCount=zhoneSonetErrorStatsTxCellCount)

144.686441

1,720

0.806244

1,886

17,073

7.297455

0.208908

0.05493

0.096127

0.008719

0.343312

0.225096

0.166824

0.146116

0.137252

0.12272

0

0.051892

0.086862

17,073

117

1,721

145.923077

0.830917

0.019446

0

0.137615

0.356562

0.033887

0

1

0

false

0

0.082569

0

0.082569

0

null

0

1

0

null

0

2

3bac9991d0a3f9781917014c3f31e06c304cb203

167

py

Python

ToolApp/WordCloudApp/test/jieba_test.py

JimouChen/python-application

b7b16506a17e2c304d1c5fabd6385e96be211c56

[ "Apache-2.0" ]

1

2020-08-09T12:47:27.000Z

ToolApp/WordCloudApp/test/jieba_test.py

JimouChen/Python_Application

b7b16506a17e2c304d1c5fabd6385e96be211c56

[ "Apache-2.0" ]

null

ToolApp/WordCloudApp/test/jieba_test.py

JimouChen/Python_Application

b7b16506a17e2c304d1c5fabd6385e96be211c56

[ "Apache-2.0" ]

null

""" # @Time : 2020/8/31 # @Author : Jimou Chen """ import jieba text_list = jieba.lcut('粉丝的芳草飞机饿哦平均分') print(text_list) text = '---'.join(text_list) print(text)

16.7

38

0.640719

23

167

4.521739

0.652174

0.230769

0

0.05

0.161677

167

10

39

16.7

0.692857

0.287425

0

0.133929

0

1

0

false

0

0.2

0

0.2

0.4

1

0

null

1

0

null

0

2

3bb9b49963b0a06322bfcbb10b8c228d50b8ee18

430

py

Python

2015/01/not_quite_lisp.py

GeoffRiley/AdventOfCode

27fe8670a1923cb3b0675784f5e855ad18c29c93

[ "Unlicense" ]

2

2020-12-12T03:18:45.000Z

2021-12-17T00:35:33.000Z

2015/01/not_quite_lisp.py

GeoffRiley/AdventOfCode

27fe8670a1923cb3b0675784f5e855ad18c29c93

[ "Unlicense" ]

null

2015/01/not_quite_lisp.py

GeoffRiley/AdventOfCode

27fe8670a1923cb3b0675784f5e855ad18c29c93

[ "Unlicense" ]

null

def find_floor(brackets: str) -> int: return sum(1 if c == '(' else -1 for c in brackets) def find_basement_entry(brackets: str) -> int: return [n + 1 for n in range(len(brackets)) if find_floor(brackets[:n + 1]) == -1][0] if __name__ == '__main__': with open('input') as f: bracket_text = f.read() print(f'Part 1: {find_floor(bracket_text)}') print(f'Part 2: {find_basement_entry(bracket_text)}')

30.714286

89

0.639535

70

430

3.671429

0.471429

0.105058

0.132296

0.155642

0

0.023188

0.197674

430

13

90

33.076923

0.721739

0

0.211628

0.14186

0

1

0.222222

false

0

0.222222

0.444444

0.222222

0

null

0

null

0

1

0

1

0

2

3bc1cff21c183110e228ec1743f045bd3aa770ee

1,835

py

Python

tests/results/025_complex06.py

CowboyTim/python-storable

f03cf0eae60eeb9c3345e9ddf3370a49a316e472

[ "Zlib" ]

8

2015-04-24T07:27:42.000Z

2020-10-30T20:51:40.000Z

tests/results/025_complex06.py

CowboyTim/python-storable

f03cf0eae60eeb9c3345e9ddf3370a49a316e472

[ "Zlib" ]

7

2015-09-08T01:40:12.000Z

2021-09-29T15:19:46.000Z

tests/results/025_complex06.py

CowboyTim/python-storable

f03cf0eae60eeb9c3345e9ddf3370a49a316e472

[ "Zlib" ]

10

2015-07-22T13:57:04.000Z

2020-09-03T18:32:39.000Z

result = [ None, 6, ['a', 'b', 'c', {'uu': 5.6, 'oo': [Ellipsis], 'ii': {Ellipsis}}], {'uu': 5.6, 'oo': [Ellipsis], 'ii': {Ellipsis}}, {'uu': 5.6, 'oo': [Ellipsis], 'ii': {Ellipsis}}, ['a', 'b', 'c', {'uu': 5.6, 'oo': [Ellipsis], 'ii': {Ellipsis}}], None, 6 ] def is_equal(a, b, message): comparable_a = [ a[0], a[1], [a[2][0], a[2][1], a[2][2], {'uu': a[2][3]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}], {'uu': a[3]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}, {'uu': a[4]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}, [a[5][0], a[5][1], a[5][2], {'uu': a[5][3]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}], a[6], a[7] ] comparable_b = [ b[0], b[1], [b[2][0], b[2][1], b[2][2], {'uu': b[2][3]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}], {'uu': b[3]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}, {'uu': b[4]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}, [b[5][0], b[5][1], b[5][2], {'uu': b[5][3]['uu'], 'oo': [Ellipsis], 'ii': [Ellipsis]}], b[6], b[7] ] if len(a) != len(b): raise AssertionError(message + ': Array length differs') non_recursive_a = [a[0], a[1], a[-2], a[-1]] non_recursive_b = [b[0], b[1], b[-2], b[-1]] if non_recursive_a != non_recursive_b: raise AssertionError(message + ': non-recursive part differs') if comparable_a != comparable_b: raise AssertionError(message + ': recursive part differs')

32.767857

70

0.370027

227

1,835

2.933921

0.140969

0.18018

0.216216

0.36036

0.501502

0.426426

0.312312

0.153153

0

0.054007

0.374387

1,835

55

71

33.363636

0.526132

0

0.297872

0

0.091553

0

0.06383

1

0.021277

false

0

0.021277

0

null

0

1

0

null

0

2

3bdb694e0e29d95359c5084b8e5002849921f98f

8,096

py

Python

Spark/spark_media_tipo.py

Dielam/Dielam.github.io

19f01d693ef2c590f3ac35a3a143ae3dedf8594e

[ "MIT" ]

null

Spark/spark_media_tipo.py

Dielam/Dielam.github.io

19f01d693ef2c590f3ac35a3a143ae3dedf8594e

[ "MIT" ]

null

Spark/spark_media_tipo.py

Dielam/Dielam.github.io

19f01d693ef2c590f3ac35a3a143ae3dedf8594e

[ "MIT" ]

1

2020-12-23T16:45:20.000Z

#!/usr/bin/python import sys from pyspark import SparkContext from shutil import rmtree import os.path as path if path.exists("output"): rmtree("output") def gasolina_95(datosRDD): datosRDD = datosRDD.filter(lambda x: x[0]!= 'precio_gasolina_95') datosRDD = datosRDD.filter(lambda x: x[0]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[0])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_gasolina_95.txt") return 0 def gasoleo_a(datosRDD): datosRDD = datosRDD.filter(lambda x: x[1]!= 'precio_gasleo_a') datosRDD = datosRDD.filter(lambda x: x[1]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[1])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_gasoleo_a.txt") return 0 def gasoleo_b(datosRDD): datosRDD = datosRDD.filter(lambda x: x[2]!= 'precio_gasleo_b') datosRDD = datosRDD.filter(lambda x: x[2]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[2])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_gasoleo_b.txt") return 0 def bioetanol(datosRDD): datosRDD = datosRDD.filter(lambda x: x[3]!= 'precio_bioetanol') datosRDD = datosRDD.filter(lambda x: x[3]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[3])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_bioetanol.txt") return 0 def nuevo_gasoleo_a(datosRDD): datosRDD = datosRDD.filter(lambda x: x[4]!= 'precio_nuevo_gasleo_a') datosRDD = datosRDD.filter(lambda x: x[4]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[4])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_nuevo_gasoleo_a.txt") return 0 def biodiesel(datosRDD): datosRDD = datosRDD.filter(lambda x: x[5]!= 'precio_biodiesel') datosRDD = datosRDD.filter(lambda x: x[5]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[5])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_biodiesel.txt") return 0 def ester_metilico(datosRDD): datosRDD = datosRDD.filter(lambda x: x[6]!= 'f__ster_metlico') datosRDD = datosRDD.filter(lambda x: x[6]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[6])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_ester_metilico.txt") return 0 def bioalcohol(datosRDD): datosRDD = datosRDD.filter(lambda x: x[7]!= 'f__bioalcohol') datosRDD = datosRDD.filter(lambda x: x[7]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[7])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_bioalcohol.txt") return 0 def precio_gasolina_98(datosRDD): datosRDD = datosRDD.filter(lambda x: x[8]!= 'precio_gasolina_98') datosRDD = datosRDD.filter(lambda x: x[8]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[8])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_gasolina_98.txt") return 0 def gas_natural_comprimido(datosRDD): datosRDD = datosRDD.filter(lambda x: x[9]!= 'precio_gas_natural_comprimido') datosRDD = datosRDD.filter(lambda x: x[9]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[9])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_gas_natural_comprimido.txt") return 0 def gas_natural_licuado(datosRDD): datosRDD = datosRDD.filter(lambda x: x[10]!= 'precio_gas_natural_licuado') datosRDD = datosRDD.filter(lambda x: x[10]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[10])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_gas_natural_licuado.txt") return 0 def gas_licuados_del_petr(datosRDD): datosRDD = datosRDD.filter(lambda x: x[11]!= 'precio_gases_licuados_del_petr') datosRDD = datosRDD.filter(lambda x: x[11]!= '') precioRDD = datosRDD.map(lambda rows: (["1", float(rows[11])])) precioRDD = precioRDD.reduceByKey(lambda x,y: x+y) tamRDD = datosRDD.count() mediaTotal = precioRDD.map(lambda rows: ([rows[1], int(tamRDD)])) mediaTotal = mediaTotal.map(lambda calc:(calc[0]/calc[1])) mediaTotal.saveAsTextFile("output/media_tipo_gas_licuado_del_petr.txt") return 0 if len(sys.argv) > 1: sc = SparkContext() tipo = sys.argv[1] tipoRDD = sc.textFile("Gasolineras.csv") tipoRDD = tipoRDD.map(lambda line: line.encode("ascii", "ignore")) tipoRDD = tipoRDD.filter(lambda line: str(line.split(',')[11]) != '') tipoRDD = tipoRDD.map(lambda line:(str(line.split(',')[11]) , str(line.split(',')[12]), str(line.split(',')[13]), str(line.split(',')[14]), str(line.split(',')[15]), str(line.split(',')[16]), str(line.split(',')[17]), str(line.split(',')[18]), str(line.split(',')[19]), str(line.split(',')[20]), str(line.split(',')[21]), str(line.split(',')[22]))) if tipoRDD.isEmpty(): result = sc.parallelize("0") result.saveAsTextFile("output") else: if tipo == "gasolina_95": gasolina_95(tipoRDD) elif tipo == "gasoleo_a": gasoleo_a(tipoRDD) elif tipo == "gasoleo_b": gasoleo_b(tipoRDD) elif tipo == "bioetanol": bioetanol(tipoRDD) elif tipo == "nuevo_gasoleo_a": nuevo_gasoleo_a(tipoRDD) elif tipo == "biodiesel": biodiesel(tipoRDD) elif tipo == "ester_metilico": ester_metilico(tipoRDD) elif tipo == "bioalcohol": bioalcohol(tipoRDD) elif tipo == "gasolina_98": gasolina_98(tipoRDD) elif tipo == "gas_natural_comprimido": gas_natural_comprimido(tipoRDD) elif tipo == "gas_natural_licuado": gas_natural_licuado(tipoRDD) elif tipo == "glp": gas_licuados_del_petr(tipoRDD) else: print "ERROR DE TIPO" else: print "Error no ha introducido tipo."

47.345029

352

0.664526

1,054

8,096

5.003795

0.104364

0.064846

0.100114

0.127418

0.769814

0.714448

0.689989

0.555745

0.450702

0.433257

0

0.022497

0.170949

8,096

170

353

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null

0

0.024242

null

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0

null

0

1

0

null

0

1

0

2

3be21c03fb4faff64d6a2faeeae62868998b7dbf

200

py

Python

TOPCOMP18/up2.py

AtilioA/CompProg-20211

ebe4d5e39957c40c495f292275eacf3fbcac0799

[ "Unlicense" ]

null

TOPCOMP18/up2.py

AtilioA/CompProg-20211

ebe4d5e39957c40c495f292275eacf3fbcac0799

[ "Unlicense" ]

null

TOPCOMP18/up2.py

AtilioA/CompProg-20211

ebe4d5e39957c40c495f292275eacf3fbcac0799

[ "Unlicense" ]

null

p1, p2 = map(int, input().split()) m = (p1 + p2) / 2 if m >= 7: print(f'{m} - Aprovado', end='') elif m < 5: print(f'{m} - Reprovado', end='') else: print(f'{m} - De Recuperacao', end='')

22.222222

42

0.5

33

200

3.030303

0.606061

0.18

0.21

0

0.045455

0.23

200

8

43

25

0.603896

0

0.245

0

1

0

false

0

0.375

0

null

0

1

0

1

0

null

0

2

ce04fd03fb7f7f27c85504de9df357274f232e95

2,377

py

Python

src/lib/centipede/Dispatcher/Renderfarm/RenderfarmJob/ExpandedJob.py

paulondc/centipede

6000a6964c2ce4a1f9c5ba0fac1d5ab0fead1fbe

[ "MIT" ]

null

src/lib/centipede/Dispatcher/Renderfarm/RenderfarmJob/ExpandedJob.py

paulondc/centipede

6000a6964c2ce4a1f9c5ba0fac1d5ab0fead1fbe

[ "MIT" ]

null

src/lib/centipede/Dispatcher/Renderfarm/RenderfarmJob/ExpandedJob.py

paulondc/centipede

6000a6964c2ce4a1f9c5ba0fac1d5ab0fead1fbe

[ "MIT" ]

null

import os import uuid from .RenderfarmJob import RenderfarmJob class ExpandedJob(RenderfarmJob): """ Implements an expanded render farm job. An expanded job is used to run a task on the farm. The processing of the task can be devided by chunks or in case a task cannot be divided then it performs the execution of an entire task. """ def __init__(self, *args, **kwargs): """ Create a render farm expanded job object. """ super(ExpandedJob, self).__init__(*args, **kwargs) self.__chunkSize = 0 self.__currentChunk = 0 self.__chunkTotal = 0 self.__totalInChunk = 0 self.__taskResultFilePath = None def taskResultFilePath(self): """ Return the file path about where the result of the task is going to be serialized. """ if self.__taskResultFilePath is None: self.__taskResultFilePath = os.path.join( self.jobDirectory(), "result_{}.json".format( str(uuid.uuid1()) ) ) return self.__taskResultFilePath def setChunkSize(self, chunkSize): """ Associate the chunk size with the job. """ self.__chunkSize = chunkSize def chunkSize(self): """ Return the job chunk size. """ return self.__chunkSize def setTotalInChunk(self, totalInChunk): """ Associate the information about the total crawlers in the current chunk. """ self.__totalInChunk = totalInChunk def totalInChunk(self): """ Return the information about the total of crawlers in the current chunk. """ return self.__totalInChunk def setCurrentChunk(self, currentChunk): """ Associate the information about the current chunk with the job. """ self.__currentChunk = currentChunk def currentChunk(self): """ Return information about the current chunk. """ return self.__currentChunk def setChunkTotal(self, chunkTotal): """ Associate the total number of chunks with the job. """ self.__chunkTotal = chunkTotal def chunkTotal(self): """ Return the job chunk total. """ return self.__chunkTotal

27.321839

90

0.595709

246

2,377

5.589431

0.329268

0.036364

0.037818

0.030545

0.181091

0

0.003133

0.328565

2,377

86

91

27.639535

0.858396

0.316786

0

0.010249

0

1

0.277778

false

0

0.083333

0

0.527778

0

null

0

null

0

1

0

1

0

2

ce1437d02347efa7dad7cc862c926e16ffce6174

4,336

py

Python

pywinrt/winsdk/windows/ui/core/__init__.py

pywinrt/python-winsdk

1e2958a712949579f5e84d38220062b2cec12511

[ "MIT" ]

3

2022-02-14T14:53:08.000Z

2022-03-29T20:48:54.000Z

pywinrt/winsdk/windows/ui/core/__init__.py

pywinrt/python-winsdk

1e2958a712949579f5e84d38220062b2cec12511

[ "MIT" ]

4

2022-01-28T02:53:52.000Z

2022-02-26T18:10:05.000Z

pywinrt/winsdk/windows/ui/core/__init__.py

pywinrt/python-winsdk

1e2958a712949579f5e84d38220062b2cec12511

[ "MIT" ]

null

# WARNING: Please don't edit this file. It was generated by Python/WinRT v1.0.0-beta.4 import enum import winsdk _ns_module = winsdk._import_ns_module("Windows.UI.Core") try: import winsdk.windows.foundation except Exception: pass try: import winsdk.windows.foundation.collections except Exception: pass try: import winsdk.windows.system except Exception: pass try: import winsdk.windows.ui except Exception: pass try: import winsdk.windows.ui.composition except Exception: pass try: import winsdk.windows.ui.input except Exception: pass class AppViewBackButtonVisibility(enum.IntEnum): VISIBLE = 0 COLLAPSED = 1 DISABLED = 2 class CoreAcceleratorKeyEventType(enum.IntEnum): CHARACTER = 2 DEAD_CHARACTER = 3 KEY_DOWN = 0 KEY_UP = 1 SYSTEM_CHARACTER = 6 SYSTEM_DEAD_CHARACTER = 7 SYSTEM_KEY_DOWN = 4 SYSTEM_KEY_UP = 5 UNICODE_CHARACTER = 8 class CoreCursorType(enum.IntEnum): ARROW = 0 CROSS = 1 CUSTOM = 2 HAND = 3 HELP = 4 I_BEAM = 5 SIZE_ALL = 6 SIZE_NORTHEAST_SOUTHWEST = 7 SIZE_NORTH_SOUTH = 8 SIZE_NORTHWEST_SOUTHEAST = 9 SIZE_WEST_EAST = 10 UNIVERSAL_NO = 11 UP_ARROW = 12 WAIT = 13 PIN = 14 PERSON = 15 class CoreDispatcherPriority(enum.IntEnum): IDLE = -2 LOW = -1 NORMAL = 0 HIGH = 1 class CoreIndependentInputFilters(enum.IntFlag): NONE = 0 MOUSE_BUTTON = 0x1 MOUSE_WHEEL = 0x2 MOUSE_HOVER = 0x4 PEN_WITH_BARREL = 0x8 PEN_INVERTED = 0x10 class CoreInputDeviceTypes(enum.IntFlag): NONE = 0 TOUCH = 0x1 PEN = 0x2 MOUSE = 0x4 class CoreProcessEventsOption(enum.IntEnum): PROCESS_ONE_AND_ALL_PENDING = 0 PROCESS_ONE_IF_PRESENT = 1 PROCESS_UNTIL_QUIT = 2 PROCESS_ALL_IF_PRESENT = 3 class CoreProximityEvaluationScore(enum.IntEnum): CLOSEST = 0 FARTHEST = 2147483647 class CoreVirtualKeyStates(enum.IntFlag): NONE = 0 DOWN = 0x1 LOCKED = 0x2 class CoreWindowActivationMode(enum.IntEnum): NONE = 0 DEACTIVATED = 1 ACTIVATED_NOT_FOREGROUND = 2 ACTIVATED_IN_FOREGROUND = 3 class CoreWindowActivationState(enum.IntEnum): CODE_ACTIVATED = 0 DEACTIVATED = 1 POINTER_ACTIVATED = 2 class CoreWindowFlowDirection(enum.IntEnum): LEFT_TO_RIGHT = 0 RIGHT_TO_LEFT = 1 CorePhysicalKeyStatus = _ns_module.CorePhysicalKeyStatus CoreProximityEvaluation = _ns_module.CoreProximityEvaluation AcceleratorKeyEventArgs = _ns_module.AcceleratorKeyEventArgs AutomationProviderRequestedEventArgs = _ns_module.AutomationProviderRequestedEventArgs BackRequestedEventArgs = _ns_module.BackRequestedEventArgs CharacterReceivedEventArgs = _ns_module.CharacterReceivedEventArgs ClosestInteractiveBoundsRequestedEventArgs = _ns_module.ClosestInteractiveBoundsRequestedEventArgs CoreAcceleratorKeys = _ns_module.CoreAcceleratorKeys CoreComponentInputSource = _ns_module.CoreComponentInputSource CoreCursor = _ns_module.CoreCursor CoreDispatcher = _ns_module.CoreDispatcher CoreIndependentInputSource = _ns_module.CoreIndependentInputSource CoreIndependentInputSourceController = _ns_module.CoreIndependentInputSourceController CoreWindow = _ns_module.CoreWindow CoreWindowEventArgs = _ns_module.CoreWindowEventArgs CoreWindowResizeManager = _ns_module.CoreWindowResizeManager IdleDispatchedHandlerArgs = _ns_module.IdleDispatchedHandlerArgs InputEnabledEventArgs = _ns_module.InputEnabledEventArgs KeyEventArgs = _ns_module.KeyEventArgs PointerEventArgs = _ns_module.PointerEventArgs SystemNavigationManager = _ns_module.SystemNavigationManager TouchHitTestingEventArgs = _ns_module.TouchHitTestingEventArgs VisibilityChangedEventArgs = _ns_module.VisibilityChangedEventArgs WindowActivatedEventArgs = _ns_module.WindowActivatedEventArgs WindowSizeChangedEventArgs = _ns_module.WindowSizeChangedEventArgs ICoreAcceleratorKeys = _ns_module.ICoreAcceleratorKeys ICoreInputSourceBase = _ns_module.ICoreInputSourceBase ICorePointerInputSource = _ns_module.ICorePointerInputSource ICorePointerInputSource2 = _ns_module.ICorePointerInputSource2 ICorePointerRedirector = _ns_module.ICorePointerRedirector ICoreWindow = _ns_module.ICoreWindow ICoreWindowEventArgs = _ns_module.ICoreWindowEventArgs IInitializeWithCoreWindow = _ns_module.IInitializeWithCoreWindow

27.794872

98

0.794972

433

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0.387991

0.084211

0.027068

0.039699

0.07609

0.063459

0.038797

0

0.025089

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4,336

155

99

27.974194

0.881647

0.019373

0

0.181818

1

0

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0

0.007294

0

1

0

false

0.045455

0.068182

0

0.613636

0

null

0

1

0

null

0

1

0

2

ce20ad6570d147c5a8d9b3d543288f65a9a031c7

3,863

py

Python

pysnmp-with-texts/RADIUS-ACCOUNTING-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/RADIUS-ACCOUNTING-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/RADIUS-ACCOUNTING-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module RADIUS-ACCOUNTING-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RADIUS-ACCOUNTING-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:44:47 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueRangeConstraint, ConstraintsUnion, SingleValueConstraint, ValueSizeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ValueSizeConstraint", "ConstraintsIntersection") dlink_common_mgmt, = mibBuilder.importSymbols("DLINK-ID-REC-MIB", "dlink-common-mgmt") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") IpAddress, Gauge32, Counter32, iso, ObjectIdentity, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, Integer32, ModuleIdentity, Bits, NotificationType, Counter64, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "IpAddress", "Gauge32", "Counter32", "iso", "ObjectIdentity", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "Integer32", "ModuleIdentity", "Bits", "NotificationType", "Counter64", "Unsigned32") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") swRadiusAccountMGMTMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 171, 12, 55)) if mibBuilder.loadTexts: swRadiusAccountMGMTMIB.setLastUpdated('0712200000Z') if mibBuilder.loadTexts: swRadiusAccountMGMTMIB.setOrganization('D-Link Corp.') if mibBuilder.loadTexts: swRadiusAccountMGMTMIB.setContactInfo('http://support.dlink.com') if mibBuilder.loadTexts: swRadiusAccountMGMTMIB.setDescription('The structure of RADIUS accounting for the proprietary enterprise.') radiusAccountCtrl = MibIdentifier((1, 3, 6, 1, 4, 1, 171, 12, 55, 1)) accountingShellState = MibScalar((1, 3, 6, 1, 4, 1, 171, 12, 55, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: accountingShellState.setStatus('current') if mibBuilder.loadTexts: accountingShellState.setDescription('Specifies the status of the RADIUS accounting service for shell events.') accountingSystemState = MibScalar((1, 3, 6, 1, 4, 1, 171, 12, 55, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: accountingSystemState.setStatus('current') if mibBuilder.loadTexts: accountingSystemState.setDescription('Specifies the status of the RADIUS accounting service for system events.') accountingNetworkState = MibScalar((1, 3, 6, 1, 4, 1, 171, 12, 55, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: accountingNetworkState.setStatus('current') if mibBuilder.loadTexts: accountingNetworkState.setDescription('Specifies the status of the RADIUS accounting service for 802.1x port access control.') mibBuilder.exportSymbols("RADIUS-ACCOUNTING-MIB", accountingShellState=accountingShellState, accountingSystemState=accountingSystemState, PYSNMP_MODULE_ID=swRadiusAccountMGMTMIB, radiusAccountCtrl=radiusAccountCtrl, swRadiusAccountMGMTMIB=swRadiusAccountMGMTMIB, accountingNetworkState=accountingNetworkState)

124.612903

477

0.797049

401

3,863

7.668329

0.349127

0.039024

0.068293

0.006504

0.463415

0.362927

0.358699

0

0.047951

0.071447

3,863

30

478

128.766667

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0

1

0

null

0

1

0

2

ce248b548495603728fcec62354aedadb7cae2e2

305

py

Python

print_numbers.py

sonmezbaris/python-exercises

949934bde2a78a718fbac76906e888ca24ae4103

[ "Apache-2.0" ]

null

print_numbers.py

sonmezbaris/python-exercises

949934bde2a78a718fbac76906e888ca24ae4103

[ "Apache-2.0" ]

null

print_numbers.py

sonmezbaris/python-exercises

949934bde2a78a718fbac76906e888ca24ae4103

[ "Apache-2.0" ]

null

#Prints the number in matrix form def print_numbers(number): for i in range(1,number+1): for j in range(1, number+1): print(i,end=" ") print() number=int(input("please enter a number: ")) if number%2==0: print_numbers(number+1) else: print_numbers(number-1)

16.944444

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0.613115

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3.833333

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0.152174

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0.152174

0.163043

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0.035088

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305

17

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null

0

1

0

2

ce2eae9c5779b0cb8f7a528c4260f793695cbcc2

2,513

py

Python

kmeans/develop/kmeans_mapr.py

stharrold/ARCHIVED_bench_mapr

cab88c0d100526f57253aaff6a7bccfb3ec9bf72

[ "MIT" ]

null

kmeans/develop/kmeans_mapr.py

stharrold/ARCHIVED_bench_mapr

cab88c0d100526f57253aaff6a7bccfb3ec9bf72

[ "MIT" ]

null

kmeans/develop/kmeans_mapr.py

stharrold/ARCHIVED_bench_mapr

cab88c0d100526f57253aaff6a7bccfb3ec9bf72

[ "MIT" ]

1

2020-02-26T04:22:35.000Z

#!/usr/bin/env python """ Do k-means clusting with map-reduce. Adapted from disco/examples/datamining/kclustering.py """ import argparse import os import numpy as np from disco.ddfs import DDFS from disco.core import Job, result_iterator from disco.util import kvgroup from disco.func import chain_reader def main(file_in="iris.csv", file_out="centers.csv", n_clusters=3): # TODO: Rename tag data:kcluster1 if tag exists. # Disco v0.4.4 requires that ./ prefix the file to idendify as local file. # http://disco.readthedocs.org/en/0.4.4/howto/chunk.html#chunking tag = "data:sort" DDFS().chunk(tag=tag, urls=['./'+file_in]) try: # Import since slave nodes do not have same namespace as master from kcluster_map_reduce import KCluster job = KCluster().run(input=[tag], map_reader=chain_reader) with open(file_out, 'w') as f_out: writer = csv.writer(f_out, quoting=csv.QUOTE_NONNUMERIC) for center in result _iterator(job.wait(show=True)): writer.writerow([center]) finally: DDFS().delete(tag=tag) return None class KCluster(Job): # TODO: Fastest way forward is to update versions to most dev branch and use built-in map-reduce # Simplest, dumbest way. # One node per cluster # Assign a cluster center to first 3 data data points. # Compute distance of all points to each center. # Each point is assigned to cluster with minimum distance. # With new point assignments, each cluster center is recomputed. # new center - old center = diff # repeat distance calc. # repeat assignment # repeat center determination # repeat diff # if diff old - diff new / diff old > 0.05, repeat again def random_init_map(element, params): """Assign data element randomply to one of k clusters.""" yield pass if __name__ == '__main__': parser = argparse.ArgumentParser(description="Do k-means clustering on file with map-reduce.") parser.add_argument("--file_in", default="iris.csv", help="Input file in CSV format. Default: iris.csv") parser.add_argument("--file_out", default="centers.csv", help="Output file. Default: centers.csv") parser.add_argument("--n_clusters", default=3, type=int, help="Number of clusters. Default: 3") args = parser.parse_args() print args if not os.path.isfile(args.file_in): create_iris_csv main(file_in=args.file_in, file_out=args.file_out, n_clusters=args.n_clusters)

39.265625

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0.693593

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2,513

4.587601

0.460916

0.024677

0.029965

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0.00699

0.202945

2,513

63

109

39.888889

0.842736

0.314365

0

0.155584

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null

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null

0.029412

0

null

0

null

0

1

0

1

0

2

ce3af6da348bd06d5dc937781e7eb0e3fc914d41

155

py

Python

protons/app/data/environment.py

choderalab/Protons

a55d7a72d0e4f2f402a2c144c5a7fb34ccce2a7f

[ "MIT" ]

16

2016-12-30T23:58:06.000Z

2021-09-29T02:40:35.000Z

protons/app/data/environment.py

choderalab/protons

a55d7a72d0e4f2f402a2c144c5a7fb34ccce2a7f

[ "MIT" ]

75

2016-10-31T19:52:32.000Z

2021-03-03T00:01:35.000Z

protons/app/data/environment.py

choderalab/Protons

a55d7a72d0e4f2f402a2c144c5a7fb34ccce2a7f

[ "MIT" ]

5

2017-01-18T23:15:07.000Z

2021-04-01T00:50:36.000Z

import os def before_all(context): context.tmpfiles = [] def after_all(context): for filename in context.tmpfiles: os.remove(filename)

14.090909

37

0.683871

20

155

5.2

0.6

0.192308

0

0.219355

155

10

38

15.5

0.859504

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1

0.333333

false

0

0.166667

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0.5

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1

0

null

0

null

0

1

0

2

ce3f1d4b968599ae77f2fe7e5ba8b86c47f5f08e

2,257

py

Python

mud/world.py

erwanaubry/alamud_IUT_Escape

cc9e77203245a9b933300edc2efb9bd5fcd8abc3

[ "Unlicense" ]

null

mud/world.py

erwanaubry/alamud_IUT_Escape

cc9e77203245a9b933300edc2efb9bd5fcd8abc3

[ "Unlicense" ]

null

mud/world.py

erwanaubry/alamud_IUT_Escape

cc9e77203245a9b933300edc2efb9bd5fcd8abc3

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- # Copyright (C) 2014 Denys Duchier, IUT d'Orléans #============================================================================== import os.path class World: def __init__(self): self.database = {} self.types = {} def load_models(self): import mud.models as models Model = models.Model for k,v in models.__dict__.items(): if not k.startswith("_") and type(v) is type and issubclass(v, Model): self.types[v.__name__] = v def make(self, data): if data is None: return None cls = self.types[data["type"]] obj = cls(**data) # autoadded to database obj.yaml = data if "id" not in data: data["id"] = obj.id return obj def load(self, initial, current): from yaml import load_all self.load_models() self.autocreated = [] # create all objects in the world (except players) contents = initial for data in contents: obj = self.make(data) # initialize them with the initial yaml data for obj in tuple(self.database.values()): obj.init_from_yaml(obj.yaml, self) # initialize autocreated objects with their yaml data while self.autocreated: objs = self.autocreated self.autocreated = [] for obj in objs: obj.init_from_yaml(obj.yaml, self) # update them with the saved current state of the game for data in current: key = data["id"] obj = self.database[key] obj.update_from_yaml(data, self) def save(self): return [x.to_json() for x in self.database.values()] def __getitem__(self, id): return self.database[id] def __setitem__(self, id, val): if id in self.database: raise Exception("id collision: %s" % id) self.database[id] = val def get(self, key, default=None): return self.database.get(key, default) def keys(self): return self.database.keys() def values(self): return self.database.values() def items(self): return self.database.items()

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0.545857

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4.351449

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0.054954

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0

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0.322552

2,257

79

83

28.56962

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0.162162

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false

0

0.055556

0.111111

0.425926

0

null

0

null

0

1

0

1

0

2

ce4051563a30c4aa616087680e77f0556a2ab7c3

665

py

Python

core/data/astrosource/spectra_source.py

xcamilox/frastro

466fa3758a60484ace85022e5e5d404afd5a86ea

[ "Apache-2.0" ]

1

2020-02-14T15:11:57.000Z

core/data/astrosource/spectra_source.py

xcamilox/frastro

466fa3758a60484ace85022e5e5d404afd5a86ea

[ "Apache-2.0" ]

null

core/data/astrosource/spectra_source.py

xcamilox/frastro

466fa3758a60484ace85022e5e5d404afd5a86ea

[ "Apache-2.0" ]

null

import json class SpectraSource(object): __name="" __cutouts=[] __files=[] __provider="" __cache_date = False def __init__(self,name,provider): self.__name = name self.__provider=provider self.__cutouts = [] self.__files = [] def addCutout(self,url,size,band): self.__cutouts.append({"url":url,"size":size,"band":band}) def addFile(self,name,url,type): self.__files.append({"url": url, "name": name, "type": type}) def __dict__(self): spectra = {"name": self.__name, "provider": self.__provider, "cutouts": self.__cutouts, "files": self.__files} return spectra

27.708333

118

0.615038

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665

4.933333

0.333333

0.086486

0.108108

0

0.228571

665

23

119

28.913043

0.721248

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0

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0.210526

false

0

0.052632

0

0.631579

0

null

0

null

0

1

0

1

0

2

ce420c95ad100308ad5f422a29b9789b05a39fcb

2,488

py

Python

keras_gym/proba_dists/test_categorical.py

KristianHolsheimer/keras-gym

0296ddcc8685e1ce732c3173caaa0fd25af9ef58

[ "MIT" ]

16

2019-07-01T10:56:26.000Z

2021-01-31T18:56:56.000Z

keras_gym/proba_dists/test_categorical.py

KristianHolsheimer/keras-gym

0296ddcc8685e1ce732c3173caaa0fd25af9ef58

[ "MIT" ]

10

2019-03-10T21:56:10.000Z

2020-09-06T21:49:55.000Z

keras_gym/proba_dists/test_categorical.py

KristianHolsheimer/keras-gym

0296ddcc8685e1ce732c3173caaa0fd25af9ef58

[ "MIT" ]

5

2019-08-02T22:11:19.000Z

2020-04-19T20:18:38.000Z

import numpy as np import tensorflow as tf from tensorflow import keras from tensorflow.keras import backend as K from scipy.stats import multinomial from ..utils.array import one_hot from .categorical import CategoricalDist if tf.__version__ >= '2.0': tf.random.set_seed(11) else: tf.set_random_seed(11) rnd = np.random.RandomState(13) x_np = rnd.randn(7, 5) y_np = rnd.randint(3, size=7) y_onehot_np = one_hot(y_np, 3) x = keras.Input([5], dtype='float32') y = keras.Input([1], dtype='int32') y_onehot = keras.Input([3], dtype='float32') logits = keras.layers.Dense(3)(x) proba = keras.layers.Lambda(K.softmax)(logits) dist = CategoricalDist(logits) sample = keras.layers.Lambda(lambda args: dist.sample())(logits) # test against scipy implementation proba_np = keras.Model(x, proba).predict(x_np) dists_np = [multinomial(n=1, p=p) for p in proba_np] # cannot broadcast def test_sample(): # if tf.__version__ >= '2.0': # expected = one_hot(np.array([1, 1, 1, 2, 1, 0, 2]), n=3) # else: # expected = one_hot(np.array([1, 1, 1, 2, 1, 0, 2]), n=3) actual = keras.Model(x, sample).predict(x_np) assert actual.shape == (7, 3) np.testing.assert_array_almost_equal(actual.sum(axis=1), np.ones(7)) # np.testing.assert_array_almost_equal(actual, expected) def test_log_proba(): expected = np.stack([d.logpmf(a) for d, a in zip(dists_np, y_onehot_np)]) out = keras.layers.Lambda(lambda args: dist.log_proba(y))(logits) actual = keras.Model([x, y], out).predict([x_np, y_np]) np.testing.assert_array_almost_equal(actual, expected) def test_log_proba_onehot(): expected = np.stack([d.logpmf(a) for d, a in zip(dists_np, y_onehot_np)]) out = keras.layers.Lambda(lambda args: dist.log_proba(y_onehot))(logits) actual = keras.Model([x, y_onehot], out).predict([x_np, y_onehot_np]) np.testing.assert_array_almost_equal(actual, expected) def test_entropy(): expected = np.stack([d.entropy() for d in dists_np]) out = keras.layers.Lambda(lambda args: dist.entropy())(logits) actual = keras.Model(x, out).predict(x_np) np.testing.assert_array_almost_equal(actual, expected) def test_cross_entropy(): # TODO: test this without implementing the same thing in numpy pass def test_kl_divergence(): # TODO: test this without implementing the same thing in numpy pass def test_proba_ratio(): # TODO: test this without implementing the same thing in numpy pass

27.955056

77

0.700965

405

2,488

4.130864

0.239506

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0.050807

0.059773

0.525403

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0.432158

0.410042

0.388524

0

0.022073

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0

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false

0.061224

0.142857

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0.285714

0

null

0

null

0

1

0

1

0

2

cbf8b1f23693a4a1df0dff8d0d5aefed47672698

1,229

py

Python

arcula/encode.py

aldur/Arcula

b68808ceac0f3e0bc726eb1e2366ed875d3ecb07

[ "MIT" ]

2

2021-01-15T08:32:28.000Z

2021-01-25T14:55:56.000Z

arcula/encode.py

aldur/Arcula

b68808ceac0f3e0bc726eb1e2366ed875d3ecb07

[ "MIT" ]

null

arcula/encode.py

aldur/Arcula

b68808ceac0f3e0bc726eb1e2366ed875d3ecb07

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Handle encoding/decoding and (de)serialization.""" import typing if typing.TYPE_CHECKING: import ecdsa __author__ = 'aldur' def int_to_bytes_32(k: int) -> bytes: """Serialize an integer to the corresponding big endian bytes.""" assert 0 <= k < 2 ** 256 return k.to_bytes(32, byteorder='big') def bytes_32_to_int(b: bytes) -> int: """Deserialize an integer from the corresponding big endian bytes.""" assert len(b) == 32 return int.from_bytes(b, byteorder='big') def int_to_bytes_8(k: int) -> bytes: """Serialize an integer to the corresponding big endian bytes.""" assert 0 <= k < 2 ** 64 return k.to_bytes(8, byteorder='big') def bytes_8_to_int(b: bytes) -> int: """Deserialize an integer from the corresponding big endian bytes.""" assert len(b) == 8 return int.from_bytes(b, byteorder='big') def verification_key_to_bytes_33(pk: 'ecdsa.VerifyingKey') -> bytes: """ Serialize a verification key to its compressed form. https://github.com/bitcoinbook/bitcoinbook/blob/develop/ch04.asciidoc """ pk = pk.pubkey.point return (b'\x02' if pk.y() % 2 == 0 else b'\x03') + int_to_bytes_32(pk.x())

27.931818

78

0.668023

185

1,229

4.286486

0.372973

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0.095839

0.126103

0.453972

0.368222

0

0.034102

0.188771

1,229

43

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28.581395

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0.375102

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0

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0

0.210526

1

0.263158

false

0

0.105263

0

0.631579

0

null

0

null

0

1

0

1

0

2

cbf8dcc336158973b1a66eb34654fd1eb89dd2b7

2,238

py

Python

tests/test_str.py

vbergeron/pylars

634237f53c349a9389fef362a31cad84907a625e

[ "MIT" ]

null

tests/test_str.py

vbergeron/pylars

634237f53c349a9389fef362a31cad84907a625e

[ "MIT" ]

null

tests/test_str.py

vbergeron/pylars

634237f53c349a9389fef362a31cad84907a625e

[ "MIT" ]

null

from pandas import DataFrame from tests.helpers import ExprTestCase from pylars.dsl import _ class TestStringExpr(ExprTestCase): def data(self): return DataFrame({ "animal": ["dog", "cat", "horse"], "fruit": ["banana", "orange", "apple"], "fold": ["yo", "YO", "Fluß"], "many": ["dog dog", "cat cat", "H H"] }) def test_concat(self): self.make_test_expr(_.animal + _.fruit, [ "dogbanana", "catorange", "horseapple" ]) def test_concat_ws(self): self.make_test_expr(_.animal + " - " + _.fruit, [ "dog - banana", "cat - orange", "horse - apple" ]) def test_capitalize(self): self.make_test_expr(_.animal.capitalize(), [ "Dog", "Cat", "Horse" ]) def test_casefold(self): self.make_test_expr(_.fold.casefold(), [ "yo", "yo", "fluss" ]) def test_contains(self): self.make_test_expr(_.fold.contains("y"), [ True, False, False ]) def test_contains_regex(self): self.make_test_expr(_.fold.contains("[yY]"), [ True, True, False ]) def test_match(self): self.make_test_expr(_.fruit.match(".+e$"), [ False, True, True ]) def test_replace(self): self.make_test_expr(_.animal.replace("e?$", "ololo"), [ 'dogololo', 'catololo', 'horsololo' ]) def test_len(self): self.make_test_expr(_.animal.len(), [ 3, 3, 5 ]) def test_upper(self): self.make_test_expr(_.animal.upper(), [ "DOG", "CAT", "HORSE" ]) def test_lower(self): self.make_test_expr(_.animal.upper().lower(), [ "dog", "cat", "horse" ]) def test_title(self): self.make_test_expr(_.many.title(), [ "Dog Dog", "Cat Cat", "H H" ]) def test_isupper(self): self.make_test_expr(_.animal.upper().isupper(), [ True, True, True ]) def test_islower(self): self.make_test_expr(_.animal.lower().islower(), [ True, True, True ])

25.146067

63

0.505809

238

2,238

4.5

0.252101

0.091503

0.156863

0.20915

0.45098

0.363212

0.243697

0.039216

0

0.002015

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2,238

88

64

25.431818

0.71726

0

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0

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false

0

0.042254

0.014085

0.28169

0

null

0

1

0

null

0

1

0

2

02011ebd8aabc02169537086409607f322a73646

1,138

py

Python

python/src/nnabla/utils/converter/supported_info.py

daniel-falk/nnabla

3fe132ea52dc10521cc029a5d6ba8f565cf65ccf

[ "Apache-2.0" ]

2,792

2017-06-26T13:05:44.000Z

2022-03-28T07:55:26.000Z

python/src/nnabla/utils/converter/supported_info.py

daniel-falk/nnabla

3fe132ea52dc10521cc029a5d6ba8f565cf65ccf

[ "Apache-2.0" ]

138

2017-06-27T07:04:44.000Z

2022-02-28T01:37:15.000Z

python/src/nnabla/utils/converter/supported_info.py

daniel-falk/nnabla

3fe132ea52dc10521cc029a5d6ba8f565cf65ccf

[ "Apache-2.0" ]

380

2017-06-26T13:23:52.000Z

2022-03-25T16:51:30.000Z

# Copyright 2018,2019,2020,2021 Sony Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import collections _SupportedInfo = collections.namedtuple( '_SupportedInfo', 'import_name export_name') extensions = _SupportedInfo(import_name=['.nnp', '.onnx', '.ckpt', '.meta', '.pb', 'saved_model', '.tflite'], export_name=[ '.nnp', '.nnb', '.onnx', '.tflite', 'saved_model', '.pb']) formats = _SupportedInfo(import_name=['NNP', 'ONNX', 'TF_CKPT_V1', 'TF_CKPT_V2', 'TF_PB', 'SAVED_MODEL', 'TFLITE'], export_name=[ 'NNP', 'NNB', 'CSRC', 'ONNX', 'SAVED_MODEL', 'TFLITE', 'TF_PB'])

49.478261

129

0.686292

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1,138

5.006579

0.572368

0.078844

0.09067

0.04205

0.1682

0.089356

0

0.023429

0.174868

1,138

22

130

51.727273

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0.5

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0

1

0

false

0

0.571429

0

0.571429

0

null

0

null

0

1

0

1

0

2

02158da90d4a65b9e1d79b297f2141449f30a2a2

451

py

Python

src/umassstembot/bot_helper.py

tomking/UMass-STEM-Discord-Bot

5d8230dd167d18138f77794f97790f492ac81e8c

[ "MIT" ]

null

src/umassstembot/bot_helper.py

tomking/UMass-STEM-Discord-Bot

5d8230dd167d18138f77794f97790f492ac81e8c

[ "MIT" ]

null

src/umassstembot/bot_helper.py

tomking/UMass-STEM-Discord-Bot

5d8230dd167d18138f77794f97790f492ac81e8c

[ "MIT" ]

null

import discord import asyncio async def del_convo(user_msg, bot_msg, delay): """ Deletes both the user and bot message after the specified delay in seconds Parameters: - user_msg: message object for the user's message - bot_msg: message object for the bot's message - delay: int representing the number of seconds to delay before deleting """ await bot_msg.delete(delay=delay) await user_msg.delete(delay=delay)

28.1875

78

0.725055

68

451

4.705882

0.485294

0.065625

0.1

0.11875

0.1375

0

0.21286

451

15

79

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0.901408

0

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true

0

0.4

0

0.4

0

null

0

null

0

1

0

1

0

2

021ae5012149d0452320e42b7f93d0867193e6de

380

py

Python

python_teste/python_aulas/aula_04.py

BrunoDantasMoreira/projectsPython

bd73ab0b3c067456407f227ed2ece42e7f21ddfc

[ "MIT" ]

1

2020-07-27T14:18:08.000Z

python_teste/python_aulas/aula_04.py

BrunoDantasMoreira/projectsPython

bd73ab0b3c067456407f227ed2ece42e7f21ddfc

[ "MIT" ]

null

python_teste/python_aulas/aula_04.py

BrunoDantasMoreira/projectsPython

bd73ab0b3c067456407f227ed2ece42e7f21ddfc

[ "MIT" ]

null

msg = str(input('Digite algo: ')) print(f'O tipo primitivo dele é {type(msg)}') print(f'So tem espaços? ', msg.isspace()) print(f'É um número? ', msg.isnumeric()) print(f'É alfabetico? ', msg.isalpha()) print(f'É alfanúmerico? ', msg.isalnum()) print(f'Está em maisculas? ', msg.isupper()) print(f'Está em minuscolas? ', msg.islower()) print(f'Etá capitalizada? ', msg.istitle())

38

45

0.678947

60

380

4.3

0.55

0.186047

0.081395

0.093023

0

0.113158

380

9

46

42.222222

0.765579

0

0.431579

0

1

0

false

0

0.888889

0

null

0

1

0

null

0

1

0

2

021ee5c84f78e0c433fd22bd2d72e3238620a8ad

216

py

Python

dgd2.py

Kshitijkrishnadas/haribol

ca45e633baaabaad3bb923f5633340ccf88d996c

[ "bzip2-1.0.6" ]

null

dgd2.py

Kshitijkrishnadas/haribol

ca45e633baaabaad3bb923f5633340ccf88d996c

[ "bzip2-1.0.6" ]

null

dgd2.py

Kshitijkrishnadas/haribol

ca45e633baaabaad3bb923f5633340ccf88d996c

[ "bzip2-1.0.6" ]

null

n=int(input("enter a number")) m=int(input("enter a number")) if n%m==0: print(n,"is dividible by",m) else: print(n,"is not divisible by",m) if n%2==0: print(n,"is even") else: print(n,"is odd")

18

36

0.583333

43

216

2.930233

0.44186

0.190476

0.253968

0.222222

0.31746

0

0.017442

0.203704

216

11

37

19.636364

0.715116

0

0.2

0

0.347222

0

1

0

false

0

0.4

0

null

0

1

0

null

0

2

0222fa91c2d5701376992eb184951fe76e9bbd3f

514

py

Python

metadata_gather/metadata_extractor/file_extractor.py

d-montenegro/MetadataGatherer

c7388ce026c4b66b164eaf933cc65f109f83f368

[ "MIT" ]

null

metadata_gather/metadata_extractor/file_extractor.py

d-montenegro/MetadataGatherer

c7388ce026c4b66b164eaf933cc65f109f83f368

[ "MIT" ]

null

metadata_gather/metadata_extractor/file_extractor.py

d-montenegro/MetadataGatherer

c7388ce026c4b66b164eaf933cc65f109f83f368

[ "MIT" ]

null

file_extractors = {} def file_extractor(extension): """ This decorator registers functions to be used as extractors. Only functions decorated with this are considered metadata extractors, and will be called when the file extension matches the configured one. :param extension: the extension to match """ def deco(f): assert extension not in file_extractors, f"extension {extension} already registered" file_extractors[extension] = f return f return deco

28.555556

92

0.710117

64

514

5.640625

0.578125

0.116343

0

0.235409

514

17

93

30.235294

0.918575

0.476654

0

0.165975

0

0.142857

1

0.285714

false

0

0.571429

0

null

0

null

0

1

0

1

0

2

0229083023d1161fe900bebe2e9d5a3c174b934d

990

py

Python

coogger/views.py

ewuoso/coogger

11df6f8487b59bd06f9a496efde3fec998a64217

[ "MIT" ]

null

coogger/views.py

ewuoso/coogger

11df6f8487b59bd06f9a496efde3fec998a64217

[ "MIT" ]

null

coogger/views.py

ewuoso/coogger

11df6f8487b59bd06f9a496efde3fec998a64217

[ "MIT" ]

null

#django from django.http import HttpResponseRedirect,HttpResponse from django.shortcuts import render from django.db.models import F from django.contrib import messages as ms from django.contrib.sitemaps import Sitemap from django.conf import settings # class from django.views.generic.base import TemplateView # apps home class AppsHome(TemplateView): template_name = "apps.html" def get_context_data(self, **kwargs): context = super(AppsHome, self).get_context_data(**kwargs) return context # # apps sitemap # class AppsSitemap(Sitemap): # changefreq = "weekly" # priority = 0.6 # # def items(self): # i_list = [] # for i in settings.INSTALLED_APPS: # if i.startswith("apps."): # i = i.split(".") # if i[1] != "cooggerapp": # url = i[0]+"/"+i[1] # i_list.append(url) # return i_list # # def location(self,obj): # return "/"+obj

26.756757

66

0.617172

119

990

5.058824

0.495798

0.116279

0.056478

0

0.006906

0.268687

990

36

67

27.5

0.824586

0.460606

0

0.017544

0

1

0.083333

false

0

0.583333

0

0.916667

0

null

0

null

0

1

0

1

0

2

0238ecc564241ca74e4d1ff256fc827855d96d3b

1,554

py

Python

galaxia/game/shared/gameconstants.py

Eugenespace/cse210-09

9268051d63a91834d1a54a6f4c5f3b50a5960a81

[ "RSA-MD" ]

null

galaxia/game/shared/gameconstants.py

Eugenespace/cse210-09

9268051d63a91834d1a54a6f4c5f3b50a5960a81

[ "RSA-MD" ]

16

2022-03-23T19:29:21.000Z

2022-03-31T22:50:41.000Z

galaxia/game/shared/gameconstants.py

Eugenespace/cse210-09

9268051d63a91834d1a54a6f4c5f3b50a5960a81

[ "RSA-MD" ]

4

2022-03-16T15:59:32.000Z

2022-03-24T15:15:47.000Z

from pathlib import Path from game.shared.color import Color import pygame pygame.mixer.init() FRAME_RATE = 50 MAX_X = 950 MAX_Y = 600 FONT_SIZE = 20 PLAYER_SIZE = 15 MAX_PLAYER_X = 400 CENTER = "center" COLS = 60 ROWS = 40 CAPTION = "GALAXIA" WHITE = Color(255, 255, 255) SPLASH_IMAGE = Path(__file__).parent.parent / "assets/images/splash.png" SPLASH_INSTRUCTION = Path(__file__).parent.parent / "assets/images/splash_inst.png" ACTOR_IMAGE = Path(__file__).parent.parent / "assets/images/hero.png" ENEMY_IMAGE = Path(__file__).parent.parent / "assets/images/enemy.png" ENEMY_IMAGE1 = Path(__file__).parent.parent / "assets/images/enemy1.png" ENEMY_IMAGE2 = Path(__file__).parent.parent / "assets/images/enemy2.png" ENEMY_IMAGE3 = Path(__file__).parent.parent / "assets/images/enemy3.png" BACKGROUND_IMAGE = Path(__file__).parent.parent /"assets/images/background.png" LOGO_IMAGE = Path(__file__).parent.parent / "assets/images/logo.png" BULLET_IMAGE = Path(__file__).parent.parent / "assets/images/bullet.png" BULLET_ENEMY_IMAGE = Path(__file__).parent.parent / "assets/images/bullet_enemy.png" # Sounds for the game ACTOR_SOUND = Path(__file__).parent.parent / "assets/sounds/actor_shoot_sound.wav" BACKGROUND_SOUND = Path(__file__).parent.parent / "assets/sounds/background_sound.wav" TITLE_MUSIC = Path(__file__).parent.parent / "assets/sounds/title_music.wav" ENEMY_SHOT = pygame.mixer.Sound(Path(__file__).parent.parent / "assets/sounds/shotdown.wav") HERO_SHOT = pygame.mixer.Sound(Path(__file__).parent.parent / "assets/sounds/crash.wav")

40.894737

92

0.777349

224

1,554

4.973214

0.290179

0.114901

0.201077

0.287253

0.566427

0.451526

0.212747

0.093357

0

0.023977

0.087516

1,554

37

93

42

0.761636

0.012227

0

0.283105

0.274625

0

1

0

false

0

0.096774

0

0.096774

0

null

0

1

0

null

0

2

02393a8d3b39e3472fc97d157aad1a49c225bbfd

7,299

py

Python

CharakterItems.py

brzGatsu/Sephrasto

4586ffb87506fd776fc6d6f37d5b222884adb4e9

[ "MIT" ]

null

CharakterItems.py

brzGatsu/Sephrasto

4586ffb87506fd776fc6d6f37d5b222884adb4e9

[ "MIT" ]

null

CharakterItems.py

brzGatsu/Sephrasto

4586ffb87506fd776fc6d6f37d5b222884adb4e9

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'CharakterItems.ui' # # Created by: PyQt5 UI code generator 5.12.1 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Form(object): def setupUi(self, Form): Form.setObjectName("Form") Form.resize(872, 460) self.gridLayout = QtWidgets.QGridLayout(Form) self.gridLayout.setObjectName("gridLayout") self.gridLayout_2 = QtWidgets.QGridLayout() self.gridLayout_2.setObjectName("gridLayout_2") self.lineEdit_12 = QtWidgets.QLineEdit(Form) self.lineEdit_12.setMaxLength(52) self.lineEdit_12.setObjectName("lineEdit_12") self.gridLayout_2.addWidget(self.lineEdit_12, 8, 3, 1, 1) spacerItem = QtWidgets.QSpacerItem(20, 19, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding) self.gridLayout_2.addItem(spacerItem, 0, 1, 1, 1) self.lineEdit_6 = QtWidgets.QLineEdit(Form) self.lineEdit_6.setMaxLength(52) self.lineEdit_6.setObjectName("lineEdit_6") self.gridLayout_2.addWidget(self.lineEdit_6, 4, 3, 1, 1) spacerItem1 = QtWidgets.QSpacerItem(163, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.gridLayout_2.addItem(spacerItem1, 1, 0, 1, 1) self.lineEdit_9 = QtWidgets.QLineEdit(Form) self.lineEdit_9.setMaxLength(52) self.lineEdit_9.setObjectName("lineEdit_9") self.gridLayout_2.addWidget(self.lineEdit_9, 7, 1, 1, 1) self.lineEdit_7 = QtWidgets.QLineEdit(Form) self.lineEdit_7.setMaxLength(52) self.lineEdit_7.setObjectName("lineEdit_7") self.gridLayout_2.addWidget(self.lineEdit_7, 6, 1, 1, 1) self.lineEdit_10 = QtWidgets.QLineEdit(Form) self.lineEdit_10.setMaxLength(52) self.lineEdit_10.setObjectName("lineEdit_10") self.gridLayout_2.addWidget(self.lineEdit_10, 7, 3, 1, 1) self.lineEdit_13 = QtWidgets.QLineEdit(Form) self.lineEdit_13.setMaxLength(52) self.lineEdit_13.setObjectName("lineEdit_13") self.gridLayout_2.addWidget(self.lineEdit_13, 9, 1, 1, 1) self.lineEdit_19 = QtWidgets.QLineEdit(Form) self.lineEdit_19.setMaxLength(52) self.lineEdit_19.setObjectName("lineEdit_19") self.gridLayout_2.addWidget(self.lineEdit_19, 13, 1, 1, 1) spacerItem2 = QtWidgets.QSpacerItem(163, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum) self.gridLayout_2.addItem(spacerItem2, 1, 4, 1, 1) self.lineEdit_1 = QtWidgets.QLineEdit(Form) self.lineEdit_1.setMinimumSize(QtCore.QSize(320, 0)) self.lineEdit_1.setText("") self.lineEdit_1.setMaxLength(52) self.lineEdit_1.setObjectName("lineEdit_1") self.gridLayout_2.addWidget(self.lineEdit_1, 1, 1, 1, 1) self.lineEdit_4 = QtWidgets.QLineEdit(Form) self.lineEdit_4.setMaxLength(52) self.lineEdit_4.setObjectName("lineEdit_4") self.gridLayout_2.addWidget(self.lineEdit_4, 2, 3, 1, 1) self.lineEdit_20 = QtWidgets.QLineEdit(Form) self.lineEdit_20.setObjectName("lineEdit_20") self.gridLayout_2.addWidget(self.lineEdit_20, 13, 3, 1, 1) self.lineEdit_3 = QtWidgets.QLineEdit(Form) self.lineEdit_3.setMaxLength(52) self.lineEdit_3.setObjectName("lineEdit_3") self.gridLayout_2.addWidget(self.lineEdit_3, 2, 1, 1, 1) self.lineEdit_18 = QtWidgets.QLineEdit(Form) self.lineEdit_18.setMaxLength(52) self.lineEdit_18.setObjectName("lineEdit_18") self.gridLayout_2.addWidget(self.lineEdit_18, 12, 3, 1, 1) self.lineEdit_8 = QtWidgets.QLineEdit(Form) self.lineEdit_8.setMaxLength(52) self.lineEdit_8.setObjectName("lineEdit_8") self.gridLayout_2.addWidget(self.lineEdit_8, 6, 3, 1, 1) self.lineEdit_16 = QtWidgets.QLineEdit(Form) self.lineEdit_16.setMaxLength(52) self.lineEdit_16.setObjectName("lineEdit_16") self.gridLayout_2.addWidget(self.lineEdit_16, 11, 3, 1, 1) self.lineEdit_5 = QtWidgets.QLineEdit(Form) self.lineEdit_5.setMaxLength(52) self.lineEdit_5.setObjectName("lineEdit_5") self.gridLayout_2.addWidget(self.lineEdit_5, 4, 1, 1, 1) self.lineEdit_11 = QtWidgets.QLineEdit(Form) self.lineEdit_11.setMaxLength(52) self.lineEdit_11.setObjectName("lineEdit_11") self.gridLayout_2.addWidget(self.lineEdit_11, 8, 1, 1, 1) self.lineEdit_2 = QtWidgets.QLineEdit(Form) self.lineEdit_2.setMinimumSize(QtCore.QSize(320, 0)) self.lineEdit_2.setMaxLength(52) self.lineEdit_2.setObjectName("lineEdit_2") self.gridLayout_2.addWidget(self.lineEdit_2, 1, 3, 1, 1) spacerItem3 = QtWidgets.QSpacerItem(20, 19, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding) self.gridLayout_2.addItem(spacerItem3, 14, 1, 1, 1) self.lineEdit_14 = QtWidgets.QLineEdit(Form) self.lineEdit_14.setMaxLength(52) self.lineEdit_14.setObjectName("lineEdit_14") self.gridLayout_2.addWidget(self.lineEdit_14, 9, 3, 1, 1) self.lineEdit_17 = QtWidgets.QLineEdit(Form) self.lineEdit_17.setMaxLength(52) self.lineEdit_17.setObjectName("lineEdit_17") self.gridLayout_2.addWidget(self.lineEdit_17, 12, 1, 1, 1) self.lineEdit_15 = QtWidgets.QLineEdit(Form) self.lineEdit_15.setMaxLength(52) self.lineEdit_15.setObjectName("lineEdit_15") self.gridLayout_2.addWidget(self.lineEdit_15, 11, 1, 1, 1) self.gridLayout.addLayout(self.gridLayout_2, 0, 0, 1, 1) self.retranslateUi(Form) QtCore.QMetaObject.connectSlotsByName(Form) Form.setTabOrder(self.lineEdit_1, self.lineEdit_2) Form.setTabOrder(self.lineEdit_2, self.lineEdit_3) Form.setTabOrder(self.lineEdit_3, self.lineEdit_4) Form.setTabOrder(self.lineEdit_4, self.lineEdit_5) Form.setTabOrder(self.lineEdit_5, self.lineEdit_6) Form.setTabOrder(self.lineEdit_6, self.lineEdit_7) Form.setTabOrder(self.lineEdit_7, self.lineEdit_8) Form.setTabOrder(self.lineEdit_8, self.lineEdit_9) Form.setTabOrder(self.lineEdit_9, self.lineEdit_10) Form.setTabOrder(self.lineEdit_10, self.lineEdit_11) Form.setTabOrder(self.lineEdit_11, self.lineEdit_12) Form.setTabOrder(self.lineEdit_12, self.lineEdit_13) Form.setTabOrder(self.lineEdit_13, self.lineEdit_14) Form.setTabOrder(self.lineEdit_14, self.lineEdit_15) Form.setTabOrder(self.lineEdit_15, self.lineEdit_16) Form.setTabOrder(self.lineEdit_16, self.lineEdit_17) Form.setTabOrder(self.lineEdit_17, self.lineEdit_18) Form.setTabOrder(self.lineEdit_18, self.lineEdit_19) Form.setTabOrder(self.lineEdit_19, self.lineEdit_20) def retranslateUi(self, Form): _translate = QtCore.QCoreApplication.translate Form.setWindowTitle(_translate("Form", "Form")) if __name__ == "__main__": import sys app = QtWidgets.QApplication(sys.argv) Form = QtWidgets.QWidget() ui = Ui_Form() ui.setupUi(Form) Form.show() sys.exit(app.exec_())

48.986577

116

0.699411

934

7,299

5.271949

0.104925

0.292445

0.08225

0.105605

0.436028

0.246141

0.099919

0.083266

0

0.073179

0.189341

7,299

148

117

49.317568

0.758999

0.025757

0

1

0

0.035614

0

1

0.015152

false

0

0.015152

0

0.037879

0

null

1

0

1

0

null

0

2

0269f22a336264676deddf579a89bac9cc3a33c6

2,461

py

Python

algorithms/leetcode/easy/0232_用栈实现队列.py

bigfoolliu/liu_aistuff

aa661d37c05c257ee293285dd0868fb7e8227628

[ "MIT" ]

1

2019-11-25T07:23:42.000Z

algorithms/leetcode/easy/0232_用栈实现队列.py

bigfoolliu/liu_aistuff

aa661d37c05c257ee293285dd0868fb7e8227628

[ "MIT" ]

13

2020-01-07T16:09:47.000Z

2022-03-02T12:51:44.000Z

algorithms/leetcode/easy/0232_用栈实现队列.py

bigfoolliu/liu_aistuff

aa661d37c05c257ee293285dd0868fb7e8227628

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding:utf-8 -*- # author: bigfoolliu """ 请你仅使用两个栈实现先入先出队列。队列应当支持一般队列支持的所有操作（push、pop、peek、empty）：实现 MyQueue 类： void push(int x) 将元素 x 推到队列的末尾 int pop() 从队列的开头移除并返回元素 int peek() 返回队列开头的元素 boolean empty() 如果队列为空，返回 true ；否则，返回 false 说明：你只能使用标准的栈操作 —— 也就是只有 push to top, peek/pop from top, size, 和 is empty 操作是合法的。你所使用的语言也许不支持栈。你可以使用 list 或者 deque（双端队列）来模拟一个栈，只要是标准的栈操作即可。进阶：你能否实现每个操作均摊时间复杂度为 O(1) 的队列？换句话说，执行 n 个操作的总时间复杂度为 O(n) ，即使其中一个操作可能花费较长时间。示例：输入： ["MyQueue", "push", "push", "peek", "pop", "empty"] [[], [1], [2], [], [], []] 输出： [null, null, null, 1, 1, false] 解释： MyQueue myQueue = new MyQueue(); myQueue.push(1); // queue is: [1] myQueue.push(2); // queue is: [1, 2] (leftmost is front of the queue) myQueue.peek(); // return 1 myQueue.pop(); // return 1, queue is [2] myQueue.empty(); // return false 提示： 1 <= x <= 9 最多调用 100 次 push、pop、peek 和 empty 假设所有操作都是有效的（例如，一个空的队列不会调用 pop 或者 peek 操作）来源：力扣（LeetCode）链接：https://leetcode-cn.com/problems/implement-queue-using-stacks 著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。 """ import doctest class MyQueue: """ 现实生活中， - 使用两个栈来替代一个队列的实现是为了在多进程中分开对同一个队列对读写操作 - 一个栈是用来读的，另一个是用来写的 - 当且仅当读栈满时或者写栈为空时，读写操作才会发生冲突 - 当只有一个线程对栈进行读写操作的时候，总有一个栈是空的 - 在多线程应用中，如果我们只有一个队列，为了线程安全，我们在读或者写队列的时候都需要锁住整个队列。而在两个栈的实现中，只要写入栈不为空，那么push操作的锁就不会影响到pop """ def __init__(self): """ Initialize your data structure here. """ self.stack = [] # 用来存放数据 self.help_stack = [] # 用来辅助 def push(self, x: int) -> None: """ Push element x to the back of queue. 每次push元素的时候，队列需要push到头部，而栈的push操作的都是栈顶，所以每次push的时候： - 先将存放数据的栈中的元素依次取出来放到辅助栈中 - 将待push的元素也最后放到辅助栈中 - 依次将辅助栈中的元素放到存放数据的栈 """ while self.stack: self.help_stack.append(self.stack.pop()) self.help_stack.append(x) while self.help_stack: self.stack.append(self.help_stack.pop()) def pop(self) -> int: """ Removes the element from in front of queue and returns that element. """ return self.stack.pop() def peek(self) -> int: """ Get the front element. """ return self.stack[-1] def empty(self) -> bool: """ Returns whether the queue is empty. """ return not bool(self.stack) if __name__ == '__main__': doctest.testmod()

21.4

92

0.621698

299

2,461

5.06689

0.505017

0.041584

0.042904

0.025083

0

0.011309

0.245429

2,461

114

93

21.587719

0.803446

0.660301

0

0.012461

0

1

0.263158

false

0

0.052632

0

0.526316

0

null

0

null

0

1

0

1

0

2

026a7cf99c24dff7410ad7673547fdcc176bd77e

497

py

Python

Mundo 1/ex023.py

judigunkel/judi-exercicios-python

c61bb75b1ae6141defcf42214194e141a70af15d

[ "MIT" ]

null

Mundo 1/ex023.py

judigunkel/judi-exercicios-python

c61bb75b1ae6141defcf42214194e141a70af15d

[ "MIT" ]

null

Mundo 1/ex023.py

judigunkel/judi-exercicios-python

c61bb75b1ae6141defcf42214194e141a70af15d

[ "MIT" ]

1

2021-03-06T02:41:36.000Z

""" 23 - Faça um programa que leia um número de 0 a 9999 e mostre na tela cada um dos dígitos separados. Ex: Digite um número: 1834 unidade: 4 dezena: 3 centena: 8 milhar: 1 """ num = int(input('Informe um número: ')) print('=*='*10) print(f'\033[33mAnalisando o número {num}\033[m') print('=*='*10) print(f'Unidade: \033[31m{num % 10}\033[m\n' f'Dezena:\t \033[31m{num // 10 % 10}\033[m\n' f'Centena: \033[31m{num // 100 % 10}\033[m\n' f'Milhar:\t \033[31m{num // 1000}\033[m')

27.611111

81

0.623742

93

497

3.333333

0.494624

0.064516

0.116129

0.067742

0.077419

0

0.180488

0.17505

497

17

82

29.235294

0.57561

0.34004

0

0.25

0

0.6875

0

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0

false

0

0.5

0

null

0

1

0

null

0

1

0

2

02703221dbf93ef09b9927134af8d7d1681a34fa

309

py

Python

conf/settings/storage.py

pincoin/iclover

890fcbd836ebffa0de8cf9fbabee55f068b3bc8b

[ "MIT" ]

1

2019-07-20T09:51:53.000Z

conf/settings/storage.py

pincoin/iclover

890fcbd836ebffa0de8cf9fbabee55f068b3bc8b

[ "MIT" ]

11

2019-07-26T02:23:52.000Z

2022-03-11T23:41:09.000Z

conf/settings/storage.py

pincoin/iclover

890fcbd836ebffa0de8cf9fbabee55f068b3bc8b

[ "MIT" ]

1

2019-07-26T02:16:49.000Z

from django.conf import settings from storages.backends.s3boto3 import S3Boto3Storage class MediaStorage(S3Boto3Storage): default_acl = 'private' location = settings.MEDIAFILES_LOCATION class StaticStorage(S3Boto3Storage): default_acl = 'public-read' location = settings.STATICFILES_LOCATION

30.9

52

0.802589

32

309

7.625

0.625

0.172131

0.196721

0

0.029851

0.132686

309

10

53

30.9

0.880597

0

0.058065

0

1

0

false

0

0.25

0

1

0

null

0

1

0

null

0

1

0

2

027e9ac41ac004e1d3c21fa56c765f1eaa417895

2,011

py

Python

tsa/celeryconfig.py

eghuro/dcat-dry

8e669583b77814c6a7fe2b038c0011fd3619f125

[ "MIT" ]

1

2018-11-16T09:04:01.000Z

tsa/celeryconfig.py

eghuro/nkod-ts

8e669583b77814c6a7fe2b038c0011fd3619f125

[ "MIT" ]

4

2019-03-31T08:58:42.000Z

2020-02-27T16:44:20.000Z

tsa/celeryconfig.py

eghuro/dcat-dry

8e669583b77814c6a7fe2b038c0011fd3619f125

[ "MIT" ]

null

"""Celery configuration.""" import os broker_url = os.environ['REDIS_CELERY'] broker_pool_limit = 100 result_backend = os.environ['REDIS_CELERY'] task_serializer = 'json' result_serializer = 'json' accept_content = ['json'] timezone = 'Europe/Prague' enable_utc = True include = ['tsa.tasks.analyze', 'tsa.tasks.batch', 'tsa.tasks.index', 'tsa.tasks.process', 'tsa.tasks.query', 'tsa.tasks.system'] broker_transport_options = { 'fanout_prefix': True, 'fanout_patterns': True } beat_schedule = { 'cleanup-batches-every-minute': { 'task': 'tsa.tasks.batch.cleanup_batches', 'schedule': 60.0, }, } task_create_missing_queues = True task_default_queue = 'default' task_routes = { 'tsa.tasks.analyze.analyze_priority': { 'queue': 'high_priority' }, 'tsa.tasks.analyze.analyze_named': { 'queue': 'high_priority' }, 'tsa.tasks.analyze.run_one_named_analyzer': { 'queue': 'high_priority' }, 'tsa.tasks.analyze.run_one_analyzer': { 'queue': 'high_priority' }, 'tsa.tasks.analyze.run_analyzer': { 'queue': 'high_priority' }, 'tsa.tasks.analyze.store_named_analysis': { 'queue': 'high_priority' }, 'tsa.tasks.index.index_named': { 'queue': 'high_priority' }, 'tsa.tasks.index.run_one_named_indexer': { 'queue': 'high_priority' }, 'tsa.tasks.index.index': { 'queue': 'high_priority' }, 'tsa.tasks.index.run_one_indexer': { 'queue': 'high_priority' }, 'tsa.tasks.batch.inspect_endpoint': { 'queue': 'low_priority' }, 'tsa.tasks.analyze.process_endpoint': { 'queue': 'low_priority' }, 'tsa.tasks.analyze.decompress': { 'queue': 'low_priority' }, 'tsa.tasks.analyze.decompress_prio': { 'queue': 'low_priority' }, 'tsa.tasks.query.*': { 'queue': 'query' }, 'tsa.tasks.batch.cleanup_batches': { 'queue': 'low_priority' }, }

22.344444

129

0.609647

219

2,011

5.3379

0.30137

0.157399

0.191617

0.171086

0.510693

0.443969

0.374679

0.170231

0

0.003841

0.223272

2,011

89

130

22.595506

0.744558

0.010443

0

0.208333

0

0.515625

0.272177

0

1

0

false

0

0.013889

0

0.013889

0

null

0

1

0

null

0

2

028763d28e17d965496b4cb3ed4c83c1e62d2afb

3,708

py

Python

pgsmo/objects/scripting_mixins.py

sergb213/pgtoolsservice

6296a207e7443fe4ebd5c91d837c033ee7886cab

[ "MIT" ]

null

pgsmo/objects/scripting_mixins.py

sergb213/pgtoolsservice

6296a207e7443fe4ebd5c91d837c033ee7886cab

[ "MIT" ]

null

pgsmo/objects/scripting_mixins.py

sergb213/pgtoolsservice

6296a207e7443fe4ebd5c91d837c033ee7886cab

[ "MIT" ]

1

2020-07-30T11:46:44.000Z

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- from abc import ABCMeta, abstractmethod from typing import List, Tuple import pgsmo.utils.templating as templating class ScriptableBase(metaclass=ABCMeta): def __init__(self, template_root: str, macro_root: List[str], server_version: Tuple[int, int, int]): # NOTE: These member variables have a "mxin" prefix to prevent interaction with child class implementations self._mxin_macro_root: List[str] = macro_root self._mxin_server_version: Tuple[int, int, int] = server_version self._mxin_template_root: str = template_root class ScriptableCreate(ScriptableBase, metaclass=ABCMeta): def __init__(self, template_root: str, macro_root: List[str], server_version: Tuple[int, int, int]): super(ScriptableCreate, self).__init__(template_root, macro_root, server_version) def create_script(self): """Generates a script that creates an object of the inheriting type""" data = self._create_query_data() return templating.render_template( templating.get_template_path(self._mxin_template_root, 'create.sql', self._mxin_server_version), self._mxin_macro_root, **data ) @abstractmethod def _create_query_data(self) -> dict: pass class ScriptableDelete(ScriptableBase, metaclass=ABCMeta): def __init__(self, template_root: str, macro_root: List[str], server_version: Tuple[int, int, int]): super(ScriptableDelete, self).__init__(template_root, macro_root, server_version) def delete_script(self): """Generates a script that deletes an object of the inheriting type""" data = self._delete_query_data() return templating.render_template( templating.get_template_path(self._mxin_template_root, 'delete.sql', self._mxin_server_version), self._mxin_macro_root, **data ) @abstractmethod def _delete_query_data(self) -> dict: pass class ScriptableUpdate(ScriptableBase, metaclass=ABCMeta): def __init__(self, template_root: str, macro_root: List[str], server_version: Tuple[int, int, int]): super(ScriptableUpdate, self).__init__(template_root, macro_root, server_version) def update_script(self): """Generates a script that updates/alters an object of the inheriting type""" data = self._update_query_data() return templating.render_template( templating.get_template_path(self._mxin_template_root, 'update.sql', self._mxin_server_version), self._mxin_macro_root, **data ) @abstractmethod def _update_query_data(self) -> dict: pass class ScriptableSelect(ScriptableBase, metaclass=ABCMeta): def __init__(self, template_root: str, macro_root: List[str], server_version: Tuple[int, int, int]): super(ScriptableSelect, self).__init__(template_root, macro_root, server_version) def select_script(self): """Generates a script which selects the object of the inheriting type""" data = self._select_query_data() return templating.render_template( templating.get_template_path(self._mxin_template_root, 'select.sql', self._mxin_server_version), self._mxin_macro_root, **data ) @abstractmethod def _select_query_data(self) -> dict: pass

41.2

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0.669633

427

3,708

5.461358

0.208431

0.077187

0.038593

0.041166

0.711407

0.691252

0.607633

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0.548456

0.471269

0

0.196063

3,708

89

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41.662921

0.782288

0.192017

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0

null

0

null

0

1

0

1

0

2

02897172a4365cd2733be564ca8d01501e8e26cb

9,344

py

Python

infobip/api/model/omni/send/OmniAdvancedRequest.py

ubidreams/infobip-api-python-client

3e585bf00565627bd7da46a2c8f10b860faaeb8b

[ "Apache-2.0" ]

null

infobip/api/model/omni/send/OmniAdvancedRequest.py

ubidreams/infobip-api-python-client

3e585bf00565627bd7da46a2c8f10b860faaeb8b

[ "Apache-2.0" ]

null

infobip/api/model/omni/send/OmniAdvancedRequest.py

ubidreams/infobip-api-python-client

3e585bf00565627bd7da46a2c8f10b860faaeb8b

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """This is a generated class and is not intended for modification! """ from datetime import datetime from infobip.util.models import DefaultObject, serializable from infobip.api.model.omni.Destination import Destination from infobip.api.model.omni.send.ParsecoData import ParsecoData from infobip.api.model.omni.send.VoiceData import VoiceData from infobip.api.model.omni.send.FacebookData import FacebookData from infobip.api.model.omni.send.ViberData import ViberData from infobip.api.model.omni.send.LineData import LineData from infobip.api.model.omni.send.VKontakteData import VKontakteData from infobip.api.model.omni.send.PushData import PushData from infobip.api.model.omni.send.SmsData import SmsData from infobip.api.model.omni.send.EmailData import EmailData class OmniAdvancedRequest(DefaultObject): @property @serializable(name="destinations", type=Destination) def destinations(self): """ Property is a list of: Destination """ return self.get_field_value("destinations") @destinations.setter def destinations(self, destinations): """ Property is a list of: Destination """ self.set_field_value("destinations", destinations) def set_destinations(self, destinations): self.destinations = destinations return self @property @serializable(name="bulkId", type='basestring') def bulk_id(self): """ Property is of type: 'basestring' """ return self.get_field_value("bulk_id") @bulk_id.setter def bulk_id(self, bulk_id): """ Property is of type: 'basestring' """ self.set_field_value("bulk_id", bulk_id) def set_bulk_id(self, bulk_id): self.bulk_id = bulk_id return self @property @serializable(name="scenarioKey", type='basestring') def scenario_key(self): """ Property is of type: 'basestring' """ return self.get_field_value("scenario_key") @scenario_key.setter def scenario_key(self, scenario_key): """ Property is of type: 'basestring' """ self.set_field_value("scenario_key", scenario_key) def set_scenario_key(self, scenario_key): self.scenario_key = scenario_key return self @property @serializable(name="sms", type=SmsData) def sms(self): """ Property is of type: SmsData """ return self.get_field_value("sms") @sms.setter def sms(self, sms): """ Property is of type: SmsData """ self.set_field_value("sms", sms) def set_sms(self, sms): self.sms = sms return self @property @serializable(name="parseco", type=ParsecoData) def parseco(self): """ Property is of type: ParsecoData """ return self.get_field_value("parseco") @parseco.setter def parseco(self, parseco): """ Property is of type: ParsecoData """ self.set_field_value("parseco", parseco) def set_parseco(self, parseco): self.parseco = parseco return self @property @serializable(name="viber", type=ViberData) def viber(self): """ Property is of type: ViberData """ return self.get_field_value("viber") @viber.setter def viber(self, viber): """ Property is of type: ViberData """ self.set_field_value("viber", viber) def set_viber(self, viber): self.viber = viber return self @property @serializable(name="voice", type=VoiceData) def voice(self): """ Property is of type: VoiceData """ return self.get_field_value("voice") @voice.setter def voice(self, voice): """ Property is of type: VoiceData """ self.set_field_value("voice", voice) def set_voice(self, voice): self.voice = voice return self @property @serializable(name="email", type=EmailData) def email(self): """ Property is of type: EmailData """ return self.get_field_value("email") @email.setter def email(self, email): """ Property is of type: EmailData """ self.set_field_value("email", email) def set_email(self, email): self.email = email return self @property @serializable(name="push", type=PushData) def push(self): """ Property is of type: PushData """ return self.get_field_value("push") @push.setter def push(self, push): """ Property is of type: PushData """ self.set_field_value("push", push) def set_push(self, push): self.push = push return self @property @serializable(name="facebook", type=FacebookData) def facebook(self): """ Property is of type: FacebookData """ return self.get_field_value("facebook") @facebook.setter def facebook(self, facebook): """ Property is of type: FacebookData """ self.set_field_value("facebook", facebook) def set_facebook(self, facebook): self.facebook = facebook return self @property @serializable(name="line", type=LineData) def line(self): """ Property is of type: LineData """ return self.get_field_value("line") @line.setter def line(self, line): """ Property is of type: LineData """ self.set_field_value("line", line) def set_line(self, line): self.line = line return self @property @serializable(name="vKontakte", type=VKontakteData) def v_kontakte(self): """ Property is of type: VKontakteData """ return self.get_field_value("v_kontakte") @v_kontakte.setter def v_kontakte(self, v_kontakte): """ Property is of type: VKontakteData """ self.set_field_value("v_kontakte", v_kontakte) def set_v_kontakte(self, v_kontakte): self.v_kontakte = v_kontakte return self @property @serializable(name="notify", type=bool) def notify(self): """ Property is of type: bool """ return self.get_field_value("notify") @notify.setter def notify(self, notify): """ Property is of type: bool """ self.set_field_value("notify", notify) def set_notify(self, notify): self.notify = notify return self @property @serializable(name="intermediateReport", type=bool) def intermediate_report(self): """ Property is of type: bool """ return self.get_field_value("intermediate_report") @intermediate_report.setter def intermediate_report(self, intermediate_report): """ Property is of type: bool """ self.set_field_value("intermediate_report", intermediate_report) def set_intermediate_report(self, intermediate_report): self.intermediate_report = intermediate_report return self @property @serializable(name="notifyUrl", type='basestring') def notify_url(self): """ Property is of type: 'basestring' """ return self.get_field_value("notify_url") @notify_url.setter def notify_url(self, notify_url): """ Property is of type: 'basestring' """ self.set_field_value("notify_url", notify_url) def set_notify_url(self, notify_url): self.notify_url = notify_url return self @property @serializable(name="notifyContentType", type='basestring') def notify_content_type(self): """ Property is of type: 'basestring' """ return self.get_field_value("notify_content_type") @notify_content_type.setter def notify_content_type(self, notify_content_type): """ Property is of type: 'basestring' """ self.set_field_value("notify_content_type", notify_content_type) def set_notify_content_type(self, notify_content_type): self.notify_content_type = notify_content_type return self @property @serializable(name="callbackData", type='basestring') def callback_data(self): """ Property is of type: 'basestring' """ return self.get_field_value("callback_data") @callback_data.setter def callback_data(self, callback_data): """ Property is of type: 'basestring' """ self.set_field_value("callback_data", callback_data) def set_callback_data(self, callback_data): self.callback_data = callback_data return self @property @serializable(name="sendAt", type=datetime) def send_at(self): """ Property is of type: datetime """ return self.get_field_value("send_at") @send_at.setter def send_at(self, send_at): """ Property is of type: datetime """ self.set_field_value("send_at", send_at) def set_send_at(self, send_at): self.send_at = send_at return self

25.883657

72

0.613549

1,064

9,344

5.210526

0.077068

0.064935

0.073593

0.098124

0.596861

0.263167

0.14881

0.131313

0.121212

0.084596

0

0.000149

0.28125

9,344

361

73

25.883657

0.825342

0.131421

0

0.186529

1

0

0.069898

0

1

0.279793

false

0

0.062176

0

0.533679

0

null

0

1

0

null

0

1

0

2

65f4015b6d91f4d5bd0cb4806b20508f002d1d5c

818

py

Python

foxylib/tools/nlp/matcher/tests/test_fulltext_matcher.py

foxytrixy-com/foxylib

94b8c5b9f8b12423393c68f7d9f910258840ed18

[ "BSD-3-Clause" ]

null

foxylib/tools/nlp/matcher/tests/test_fulltext_matcher.py

foxytrixy-com/foxylib

94b8c5b9f8b12423393c68f7d9f910258840ed18

[ "BSD-3-Clause" ]

3

2019-12-12T05:17:44.000Z

2022-03-11T23:40:50.000Z

foxylib/tools/nlp/matcher/tests/test_fulltext_matcher.py

foxytrixy-com/foxylib

94b8c5b9f8b12423393c68f7d9f910258840ed18

[ "BSD-3-Clause" ]

2

2019-10-16T17:39:34.000Z

2020-02-10T06:32:08.000Z

import logging from unittest import TestCase from foxylib.tools.collections.collections_tool import DictTool from foxylib.tools.log.foxylib_logger import FoxylibLogger from foxylib.tools.nlp.matcher.fulltext_matcher import FulltextMatcher from foxylib.tools.string.string_tool import str2lower class TestFulltextMatcher(TestCase): @classmethod def setUpClass(cls): FoxylibLogger.attach_stderr2loggers(logging.DEBUG) def test_01(self): dict_value2texts = {"ReD": ["scarleTT", "radish", 'red']} matcher = FulltextMatcher(dict_value2texts, config=FulltextMatcher.Config(normalizer=str2lower)) hyp1 = list(matcher.text2values("scarlett")) self.assertEqual(hyp1, ["ReD"]) hyp2 = list(matcher.text2values("red scarlett")) self.assertEqual(hyp2, [])

32.72

104

0.745721

88

818

6.840909

0.488636

0.07309

0.106312

0

0.018786

0.154034

818

24

105

34.083333

0.851156

0

0.052567

0

0.117647

1

0.117647

false

0

0.352941

0

0.529412

0

null

0

null

0

1

0

1

0

2

65fdbd95550cbad72173be5dfc354e3ce7e11c59

347

py

Python

esputnik/exceptions.py

urumtsev/ok-esputnik

c1eccaf9b86d02e57fe088b62ed27ac85287742e

[ "MIT" ]

null

esputnik/exceptions.py

urumtsev/ok-esputnik

c1eccaf9b86d02e57fe088b62ed27ac85287742e

[ "MIT" ]

null

esputnik/exceptions.py

urumtsev/ok-esputnik

c1eccaf9b86d02e57fe088b62ed27ac85287742e

[ "MIT" ]

1

2020-04-17T15:47:19.000Z

__all__ = ( 'ESputnikException', 'InvalidAuthDataError', 'IncorrectDataError' ) class ESputnikException(AttributeError): pass class InvalidAuthDataError(ESputnikException): def __init__(self, code, message): self.code = code self.message = message class IncorrectDataError(InvalidAuthDataError): pass

17.35

47

0.711816

26

347

9.192308

0.461538

0.066946

0

0.204611

347

19

48

18.263158

0.865942

0

0.153846

0

0.158501

0

1

0.076923

false

0.153846

0

0.307692

0

1

0

null

0

null

0

1

0

2

65fe066a82c936d9d6d722f777910157acc754ac

232

py

Python

ChessRender/RenderFsmCommon/text_field_fsm.py

PavelLebed20/chess_classic

72f7d08cadae8db9c65d61411bcdc8c79bfa04c3

[ "Apache-2.0" ]

1

2019-06-04T11:08:55.000Z

ChessRender/RenderFsmCommon/text_field_fsm.py

PavelLebed20/chess_classic

72f7d08cadae8db9c65d61411bcdc8c79bfa04c3

[ "Apache-2.0" ]

115

2019-03-02T08:02:50.000Z

2019-06-02T16:28:00.000Z

ChessRender/RenderFsmCommon/text_field_fsm.py

PavelLebed20/chess_classic

72f7d08cadae8db9c65d61411bcdc8c79bfa04c3

[ "Apache-2.0" ]

null

class TextFieldFsm: def __init__(self, title, position, need_hide=False, initial_text=""): self.title = title self.position = position self.need_hide = need_hide self.initial_text = initial_text

29

74

0.668103

28

232

5.178571

0.428571

0.165517

0

0.24569

232

7

75

33.142857

0.828571

0

1

0.166667

false

0

0.333333

0

1

0

null

0

1

0

null

0

2

5a2390b02576fce95a011b594cf101893ab436f6

5,007

py

Python

monero_glue/messages/Features.py

ph4r05/monero-agent

0bac0e6f33142b2bb885565bfd1ef8ac04559280

[ "MIT" ]

20

2018-04-05T22:06:10.000Z

2021-09-18T10:43:44.000Z

monero_glue/messages/Features.py

ph4r05/monero-agent

0bac0e6f33142b2bb885565bfd1ef8ac04559280

[ "MIT" ]

null

monero_glue/messages/Features.py

ph4r05/monero-agent

0bac0e6f33142b2bb885565bfd1ef8ac04559280

[ "MIT" ]

5

2018-08-06T15:06:04.000Z

2021-07-16T01:58:43.000Z

# Automatically generated by pb2py # fmt: off from .. import protobuf as p if __debug__: try: from typing import Dict, List # noqa: F401 from typing_extensions import Literal # noqa: F401 EnumTypeCapability = Literal[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] EnumTypeBackupType = Literal[0, 1, 2] except ImportError: pass class Features(p.MessageType): MESSAGE_WIRE_TYPE = 17 def __init__( self, vendor: str = None, major_version: int = None, minor_version: int = None, patch_version: int = None, bootloader_mode: bool = None, device_id: str = None, pin_protection: bool = None, passphrase_protection: bool = None, language: str = None, label: str = None, initialized: bool = None, revision: bytes = None, bootloader_hash: bytes = None, imported: bool = None, pin_cached: bool = None, firmware_present: bool = None, needs_backup: bool = None, flags: int = None, model: str = None, fw_major: int = None, fw_minor: int = None, fw_patch: int = None, fw_vendor: str = None, fw_vendor_keys: bytes = None, unfinished_backup: bool = None, no_backup: bool = None, recovery_mode: bool = None, capabilities: List[EnumTypeCapability] = None, backup_type: EnumTypeBackupType = None, sd_card_present: bool = None, sd_protection: bool = None, wipe_code_protection: bool = None, session_id: bytes = None, passphrase_always_on_device: bool = None, ) -> None: self.vendor = vendor self.major_version = major_version self.minor_version = minor_version self.patch_version = patch_version self.bootloader_mode = bootloader_mode self.device_id = device_id self.pin_protection = pin_protection self.passphrase_protection = passphrase_protection self.language = language self.label = label self.initialized = initialized self.revision = revision self.bootloader_hash = bootloader_hash self.imported = imported self.pin_cached = pin_cached self.firmware_present = firmware_present self.needs_backup = needs_backup self.flags = flags self.model = model self.fw_major = fw_major self.fw_minor = fw_minor self.fw_patch = fw_patch self.fw_vendor = fw_vendor self.fw_vendor_keys = fw_vendor_keys self.unfinished_backup = unfinished_backup self.no_backup = no_backup self.recovery_mode = recovery_mode self.capabilities = capabilities if capabilities is not None else [] self.backup_type = backup_type self.sd_card_present = sd_card_present self.sd_protection = sd_protection self.wipe_code_protection = wipe_code_protection self.session_id = session_id self.passphrase_always_on_device = passphrase_always_on_device @classmethod def get_fields(cls) -> Dict: return { 1: ('vendor', p.UnicodeType, 0), 2: ('major_version', p.UVarintType, 0), 3: ('minor_version', p.UVarintType, 0), 4: ('patch_version', p.UVarintType, 0), 5: ('bootloader_mode', p.BoolType, 0), 6: ('device_id', p.UnicodeType, 0), 7: ('pin_protection', p.BoolType, 0), 8: ('passphrase_protection', p.BoolType, 0), 9: ('language', p.UnicodeType, 0), 10: ('label', p.UnicodeType, 0), 12: ('initialized', p.BoolType, 0), 13: ('revision', p.BytesType, 0), 14: ('bootloader_hash', p.BytesType, 0), 15: ('imported', p.BoolType, 0), 16: ('pin_cached', p.BoolType, 0), 18: ('firmware_present', p.BoolType, 0), 19: ('needs_backup', p.BoolType, 0), 20: ('flags', p.UVarintType, 0), 21: ('model', p.UnicodeType, 0), 22: ('fw_major', p.UVarintType, 0), 23: ('fw_minor', p.UVarintType, 0), 24: ('fw_patch', p.UVarintType, 0), 25: ('fw_vendor', p.UnicodeType, 0), 26: ('fw_vendor_keys', p.BytesType, 0), 27: ('unfinished_backup', p.BoolType, 0), 28: ('no_backup', p.BoolType, 0), 29: ('recovery_mode', p.BoolType, 0), 30: ('capabilities', p.EnumType("Capability", (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)), p.FLAG_REPEATED), 31: ('backup_type', p.EnumType("BackupType", (0, 1, 2)), 0), 32: ('sd_card_present', p.BoolType, 0), 33: ('sd_protection', p.BoolType, 0), 34: ('wipe_code_protection', p.BoolType, 0), 35: ('session_id', p.BytesType, 0), 36: ('passphrase_always_on_device', p.BoolType, 0), }

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null

0

1

0

2

5a3d8bde273be87216aac72a3459e446d7ba5a9c

2,293

py

Python

storeapp/apps/store/models.py

rohitit09/store_app

6ee2b31b2d344757222c973be871307958745f3a

[ "MIT" ]

null

storeapp/apps/store/models.py

rohitit09/store_app

6ee2b31b2d344757222c973be871307958745f3a

[ "MIT" ]

null

storeapp/apps/store/models.py

rohitit09/store_app

6ee2b31b2d344757222c973be871307958745f3a

[ "MIT" ]

null

from django.db import models from apps.user.models import StoreUser # Create your models here. class Category(models.Model): name=models.CharField(max_length=255) def __str__(self): return self.name class Meta: verbose_name='Category' verbose_name_plural='Categories' class Products(models.Model): product_name=models.CharField(max_length=255) description=models.TextField() mrp=models.DecimalField(max_digits=20,decimal_places=2) sale_price=models.DecimalField(max_digits=20,decimal_places=2) category = models.ForeignKey(Category, on_delete=models.CASCADE) def __str__(self): return self.product_name class Meta: verbose_name='Product' verbose_name_plural='Products' class Store(models.Model): name=models.CharField(max_length=255) address=models.TextField() products = models.ManyToManyField(Products,blank=True) # store_link=models.CharField(max_length=400,primary_key=True,unique=True) def __str__(self): return self.name class Meta: verbose_name='Store' verbose_name_plural='Stores' def get_absolute_url(self): return f"/view_store/{self.id}/" class Customer(models.Model): user=models.OneToOneField(StoreUser,on_delete=models.CASCADE) address=models.TextField() store = models.ManyToManyField(Store,blank=True) def __str__(self): return self.user.phone_number class Meta: verbose_name='Customer' verbose_name_plural='Customers' class Orders(models.Model): choices=( ('PENDING','PENDING'), ('APPROVED','APPROVED'), ('CANCELED','CANCELED') ) status=models.CharField(choices=choices,default='PENDING',max_length=8) order_created=models.DateTimeField(auto_now_add=True) amount=models.DecimalField(max_digits=20,decimal_places=2) quatity=models.IntegerField() product = models.ForeignKey(Products, on_delete=models.CASCADE) store = models.ForeignKey(Store, on_delete=models.CASCADE) customer = models.ForeignKey(Customer, on_delete=models.CASCADE,blank=True,null=True) def __str__(self): return self.product.product_name class Meta: verbose_name='Order' verbose_name_plural='Orders'

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null

0

null

0

1

0

2

5a477971f5c94d1086e60fd805f7524250793cf6

11,132

py

Python

BookClub/views/action_views.py

amir-rahim/BookClubSocialNetwork

b69a07cd33592f700214252a64c7c1c53845625d

[ "MIT" ]

4

2022-02-04T02:11:48.000Z

2022-03-12T21:38:01.000Z

BookClub/views/action_views.py

amir-rahim/BookClubSocialNetwork

b69a07cd33592f700214252a64c7c1c53845625d

[ "MIT" ]

51

2022-02-01T18:56:23.000Z

2022-03-31T15:35:37.000Z

BookClub/views/action_views.py

amir-rahim/BookClubSocialNetwork

b69a07cd33592f700214252a64c7c1c53845625d

[ "MIT" ]

null

"""Action related views.""" from django.contrib import messages from django.contrib.auth.mixins import LoginRequiredMixin from django.shortcuts import redirect from django.views.generic import TemplateView, View from django.core.exceptions import ObjectDoesNotExist from BookClub.helpers import * from BookClub.models import Club, User, ClubMembership class ActionView(TemplateView): """Class for views that make an action.""" def get(self, request, *args, **kwargs): return redirect('home') def post(self, request, *args, **kwargs): """ Handle post request Args: request (Django Request): The request we have received """ try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user target_user = User.objects.get(username=self.request.POST.get('user')) except ObjectDoesNotExist: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location, kwargs['club_url_name']) if self.is_actionable(current_user, target_user, club): self.action(current_user, target_user, club) else: self.is_not_actionable(current_user, target_user, club) return redirect(self.redirect_location, kwargs['club_url_name']) def is_actionable(self, current_user, target_user, club): """Check if the action is legal.""" raise NotImplementedError("This method isn't implemented yet.") # pragma: no cover def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Runs the action.""" raise NotImplementedError("This method isn't implemented yet.") # pragma: no cover class PromoteMemberView(LoginRequiredMixin, ActionView): """Promoting a member to a moderator.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if member can be promoted.""" return (has_owner_rank(current_user, club) and has_member_rank(target_user, club)) def action(self, current_user, target_user, club): """Promotes the member to moderator.""" messages.success(self.request, f"You have successfully promoted the member.") set_rank(target_user, club, ClubMembership.UserRoles.MODERATOR) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class DemoteMemberView(LoginRequiredMixin, ActionView): """Demoting a moderator to a member.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if moderator can be demoted.""" return has_owner_rank(current_user, club) and has_moderator_rank(target_user, club) def action(self, current_user, target_user, club): """Demote moderator to a member.""" messages.success(self.request, f"You have successfully demoted the moderator.") set_rank(target_user, club, ClubMembership.UserRoles.MEMBER) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class ApproveApplicantView(LoginRequiredMixin, ActionView): """Approving an applicant to a member.""" redirect_location = 'applicant_list' def is_actionable(self, current_user, target_user, club): """Check if applicant can be approved.""" return ((has_owner_rank(current_user, club) or has_moderator_rank(current_user, club)) and has_applicant_rank( target_user, club)) def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" redirect_location = 'home' messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Approves the applicant to a member.""" messages.success(self.request, f"You have successfully approved the applicant.") set_rank(target_user, club, ClubMembership.UserRoles.MEMBER) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class RejectApplicantView(LoginRequiredMixin, ActionView): """Rejecting an applicant""" redirect_location = 'applicant_list' def is_actionable(self, current_user, target_user, club): """Check if applicant can be rejected.""" return ((has_owner_rank(current_user, club) or has_moderator_rank(current_user, club)) and has_applicant_rank( target_user, club)) def is_not_actionable(self, current_user, target_user, club): """Displays a message if the action is illegal.""" redirect_location = 'home' messages.error(self.request, f"You cannot do that!") def action(self, current_user, target_user, club): """Rejects the applicant""" messages.success(self.request, f"You have successfully rejected the applicant.") remove_from_club(target_user, club) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class KickMemberView(LoginRequiredMixin, ActionView): """Kicks the target user from the club.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if currentUser can kick targetUser.""" return can_kick(club, current_user, target_user) def action(self, current_user, target_user, club): """Kick the targetUser.""" messages.success(self.request, f"You have successfully kicked the member.") remove_from_club(target_user, club) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class TransferOwnershipView(LoginRequiredMixin, ActionView): """Transfer ownership of a club to another moderator.""" redirect_location = 'member_list' def is_actionable(self, current_user, target_user, club): """Check if the ownership can be transferred to a valid moderator.""" return has_owner_rank(current_user, club) and has_moderator_rank(target_user, club) def action(self, current_user, target_user, club): """Transfer ownership to moderator and demote owner to moderator.""" messages.success(self.request, f"You have transferred the ownership successfully.") set_rank(target_user, club, ClubMembership.UserRoles.OWNER) set_rank(current_user, club, ClubMembership.UserRoles.MODERATOR) def post(self, request, *args, **kwargs): return super().post(self, request, *args, **kwargs) class JoinClubView(LoginRequiredMixin, View): """Users can join/apply to clubs.""" redirect_location = 'available_clubs' def get(self, request, *args, **kwargs): return redirect(self.redirect_location) def is_actionable(self, current_user, club): """Check if user can join/apply to a club.""" return not has_membership(club, current_user) def is_not_actionable(self, current_user, club): """If user has a membership with the club already.""" if club.is_private: messages.info(self.request, "You have already applied to this club.") else: messages.info(self.request, "You are already a member of this club.") def action(self, current_user, club): """Create membership for user with the club depending on privacy.""" if club.is_private: create_membership(club, current_user, ClubMembership.UserRoles.APPLICANT) messages.success(self.request, "Application to club successful.") else: create_membership(club, current_user, ClubMembership.UserRoles.MEMBER) messages.success(self.request, "You have joined the club.") def post(self, request, *args, **kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user except: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location) if (self.is_actionable(current_user, club)): self.action(current_user, club) else: self.is_not_actionable(current_user, club) return redirect(self.redirect_location) class LeaveClubView(LoginRequiredMixin, View): """User can leave a club.""" redirect_location = 'my_club_memberships' def get(self, request, *args, **kwargs): return redirect(self.redirect_location) def is_actionable(self, current_user, club): """Check if currentUser is in the club.""" return (has_membership(club, current_user) or has_applicant_rank(current_user, club)) and not (has_owner_rank(current_user, club)) def is_not_actionable(self, current_user, club): """User cannot leave club if they are the owner.""" if has_owner_rank(current_user, club): messages.error(self.request, "The owner of the club cannot leave.") def action(self, current_user, club): """User leaves the club, membership with the club is deleted.""" messages.success(self.request, "You have left the club.") remove_from_club(current_user, club) def post(self, request, *args, **kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user except: messages.error(self.request, "Error, user or club not found.") return redirect(self.redirect_location) if (self.is_actionable(current_user, club)): self.action(current_user, club) else: self.is_not_actionable(current_user, club) return redirect(self.redirect_location) class DeleteClubView(LoginRequiredMixin, View): """User can delete a club.""" redirect_location = 'available_clubs' def is_actionable(self, current_user, club): """Only allow the owner of a club to delete it.""" return has_owner_rank(current_user, club) def is_not_actionable(self): messages.error(self.request, f"You are not allowed to delete the club!") def action(self, current_user, club): club.delete() messages.success(self.request, "You have deleted the club.") def post(self, request, *args, **kwargs): try: club = Club.objects.get(club_url_name=self.kwargs['club_url_name']) current_user = self.request.user if self.is_actionable(current_user, club): self.action(current_user, club) return redirect(self.redirect_location) else: self.is_not_actionable() except: messages.error(self.request, "Error, user or club not found.") return redirect('home')

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11,132

310

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0.838725

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0

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0.233533

false

0

0.041916

0.053892

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0

null

0

null

0

1

0

1

0

2

5a4f8a97fb9b4f5e805eaf44b4b9a518c3c4c41f

387

py

Python

examples/qt_test.py

hycool/pywebview

4c571117b89f36f48c19c0cf638254f8ecbf3e02

[ "BSD-3-Clause" ]

3

2020-10-06T19:43:43.000Z

2021-01-13T16:40:21.000Z

examples/qt_test.py

hycool/pywebview

4c571117b89f36f48c19c0cf638254f8ecbf3e02

[ "BSD-3-Clause" ]

null

examples/qt_test.py

hycool/pywebview

4c571117b89f36f48c19c0cf638254f8ecbf3e02

[ "BSD-3-Clause" ]

1

2020-11-18T16:38:33.000Z

import webview import threading """ This example demonstrates how to create a pywebview windows using QT (normally GTK is preferred) """ if __name__ == '__main__': webview.config.use_qt = True # Create a non-resizable webview window with 800x600 dimensions # webview.create_window("Simple browser", "http://www.baidu.com") webview.load_html('<h1>Master Window</h1>')

25.8

96

0.728682

52

387

5.211538

0.769231

0.051661

0

0.024691

0.162791

387

14

97

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0.811728

0.322997

0

0.193548

0

1

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true

0

0.4

0

0.4

0

null

0

null

0

1

0

1

0

2

5a51f08f60e94f41d3a9af65581aa8ea4efe2a22

6,428

py

Python

lib/gui/widgets/queue_items/__init__.py

B1d1zyaKa/mff_auto

fd3f0bd45aea45e2e8ad8e8fc73a8953c96d350a

[ "Apache-2.0" ]

1

2022-03-28T07:38:16.000Z

lib/gui/widgets/queue_items/__init__.py

B1d1zyaKa/mff_auto

fd3f0bd45aea45e2e8ad8e8fc73a8953c96d350a

[ "Apache-2.0" ]

null

lib/gui/widgets/queue_items/__init__.py

B1d1zyaKa/mff_auto

fd3f0bd45aea45e2e8ad8e8fc73a8953c96d350a

[ "Apache-2.0" ]

null

import inspect import sys import lib.logger as logging from lib.gui.widgets.queue_items import actions from lib.gui.widgets.queue_items import events from lib.gui.widgets.queue_items import missions from .general import GameMode, Action, Event logger = logging.get_logger(__name__) def _classes_from_module(module_name): """Generator for all non-imported classes inside module. :param str module_name: module's name. :rtype: typing.Generator[type[GameMode]] """ if module_name not in sys.modules: logger.error(f"Cannot load {module_name} module.") for name, obj in inspect.getmembers(sys.modules[module_name]): if obj and inspect.isclass(obj) and obj.__module__ == module_name: yield obj def _init_classes(module_name, game): """Initializes all non-imported classes inside module into the game. :param str module_name: module's name. :param lib.game.game.Game game: instance of the game. :rtype: list[GameMode] """ return [class_init(game) for class_init in _classes_from_module(module_name)] def get_actions(game): """Gets all initialized actions. :rtype: list[Action] """ return _init_classes(module_name=actions.__name__, game=game) def get_events(game): """Gets all initialized events. :rtype: list[Event] """ return _init_classes(module_name=events.__name__, game=game) def get_missions(game): """Gets all initialized missions. :rtype: list[GameMode] """ return _init_classes(module_name=missions.__name__, game=game) def get_missions_dict(mission_instances): """Constructs menu dictionary for missions by it's instances. :param list[GameMode] mission_instances: list of mission's instances. :rtype: dict """ def find_instance(class_): return next((inst for inst in mission_instances if inst.__class__.__name__ == class_.__name__), None) menu_dict = { "EPIC QUESTS": { "FATE OF MANKIND": [find_instance(missions._HeroesReunited), find_instance(missions._IndustrialComplex), find_instance(missions._DeviantDiversion)], "DARK REIGN": [find_instance(missions._PlayingHero), find_instance(missions._GoldenGods), find_instance(missions._StingOfTheScorpion), find_instance(missions._SelfDefenseProtocol), find_instance(missions._LegacyOfBlood)], "GALACTIC IMPERATIVE": [find_instance(missions._FateOfTheUniverse), find_instance(missions._TheFault), find_instance(missions._DangerousSisters), find_instance(missions._CosmicRider), find_instance(missions._QuantumPower), find_instance(missions._WingsOfDarkness)], "FIRST FAMILY": [find_instance(missions._DoomsDay), find_instance(missions._TwistedWorld), find_instance(missions._InhumanPrincess), find_instance(missions._MeanAndGreen), find_instance(missions._ClobberinTime), find_instance(missions._Hothead)], "X-FORCE": [find_instance(missions._BeginningOfTheChaos), find_instance(missions._StupidXMen), find_instance(missions._TheBigTwin), find_instance(missions._AwManThisGuy), find_instance(missions._DominoFalls)], "RISE OF THE X-MEN": [find_instance(missions._MutualEnemy), find_instance(missions._VeiledSecret), find_instance(missions._GoingRogue), find_instance(missions._FriendsAndEnemies), find_instance(missions._WeatheringTheStorm), find_instance(missions._Blindsided)], "SORCERER SUPREME": [find_instance(missions._DarkAdvent), find_instance(missions._IncreasingDarkness), find_instance(missions._RoadToMonastery), find_instance(missions._MysteriousAmbush), find_instance(missions._MonasteryInTrouble), find_instance(missions._PowerOfTheDark)] }, "STORY MISSION": find_instance(missions._StoryMission), "DIMENSION MISSION": find_instance(missions._DimensionMissions), "LEGENDARY BATTLE": find_instance(missions._LegendaryBattle), "SQUAD BATTLE": find_instance(missions._SquadBattles), "WORLD BOSS": find_instance(missions._WorldBosses), "TIMELINE BATTLE": find_instance(missions._TimelineBattle), "DANGER ROOM": find_instance(missions._DangerRoom), "ALLIANCE BATTLE": find_instance(missions._AllianceBattle), "CO-OP PLAY": find_instance(missions._CoopPlay), "WORLD BOSS INVASION": find_instance(missions._WorldBossInvasion), "GIANT BOSS RAID": find_instance(missions._GiantBossRaid), "SHADOWLAND": find_instance(missions._Shadowland) } return menu_dict def get_actions_dict(action_instances): """Constructs menu dictionary for actions by it's instances. :param list[Action] action_instances: list of action's instances. :rtype: dict """ def find_instance(class_): return next((inst for inst in action_instances if inst.__class__.__name__ == class_.__name__), None) alliance = [find_instance(actions._AllianceCheckIn), find_instance(actions._AllianceDonate), find_instance(actions._AllianceBuyEnergy), find_instance(actions._AllianceRequestSupport), find_instance(actions._AllianceChallengesEnergy)] inventory = [find_instance(actions._ComicCards), find_instance(actions._CustomGear), find_instance(actions._Iso8Upgrade), find_instance(actions._Iso8Combine), find_instance(actions._Iso8Lock), find_instance(actions._ArtifactDismantle)] store = [find_instance(actions._CollectFreeEnergy), find_instance(actions._CollectEnergyViaAssemblePoints), find_instance(actions._AcquireFreeHeroChest), find_instance(actions._AcquireFreeArtifactChest), find_instance(actions._BuyArtifactChest)] menu_dict = { "[ACTIONS]": { "[QUEUE CONTROL]": [find_instance(actions._RunQueue)], "ALLIANCE": alliance, "INVENTORY": inventory, "STORE": store, **{action.mode_name: action for action in action_instances if action not in [*alliance, *inventory, *store]} } } return menu_dict

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0

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0

0.062894

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null

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1

0

null

0

1

0

2

5a58f3d3d4606bb98158d8533bf114ae27ba40bf

528

py

Python

honeybee.py

Grzegorzorzorz/honeybee

2d1ff0e75de078915fa254fcab12ff08f24413cb

[ "MIT" ]

null

honeybee.py

Grzegorzorzorz/honeybee

2d1ff0e75de078915fa254fcab12ff08f24413cb

[ "MIT" ]

null

honeybee.py

Grzegorzorzorz/honeybee

2d1ff0e75de078915fa254fcab12ff08f24413cb

[ "MIT" ]

null

import os import src.main # Check if the bin and dst directories are present, and if not, generate them. if os.path.isdir(os.path.join(os.path.dirname(__file__), "bin")) == False: print("'bin' directory not found. Generating...") os.makedirs(os.path.join(os.path.dirname(__file__), "bin")) if os.path.isdir(os.path.join(os.path.dirname(__file__), "dst")) == False: print("'dst' directory not found. Generating...") os.makedirs(os.path.join(os.path.dirname(__file__), "dst")) # Start the program. src.main.run()

40.615385

78

0.69697

83

528

4.240964

0.361446

0.170455

0.113636

0.136364

0.625

0.590909

0

0.123106

528

13

79

40.615385

0.760259

0.179924

0

1

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0

1

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null

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null

0

1

0

2

5a6216ce5a52a06e10e358605a62681d73e42716

45,877

py

Python

src/whylogs/src/whylabs/logs/proto/summaries_pb2.py

bernease/cli-demo-1

895d9eddc95ca3dd43b7ae8b33a8fbdedbc855f5

[ "Apache-2.0" ]

null

src/whylogs/src/whylabs/logs/proto/summaries_pb2.py

bernease/cli-demo-1

895d9eddc95ca3dd43b7ae8b33a8fbdedbc855f5

[ "Apache-2.0" ]

null

src/whylogs/src/whylabs/logs/proto/summaries_pb2.py

bernease/cli-demo-1

895d9eddc95ca3dd43b7ae8b33a8fbdedbc855f5

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: summaries.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import wrappers_pb2 as google_dot_protobuf_dot_wrappers__pb2 from . import messages_pb2 as messages__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='summaries.proto', package='', syntax='proto3', serialized_options=b'\n com.whylabs.logging.core.messageB\tSummariesP\001', create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x0fsummaries.proto\x1a\x1egoogle/protobuf/wrappers.proto\x1a\x0emessages.proto\"D\n\x12UniqueCountSummary\x12\x10\n\x08\x65stimate\x18\x01 \x01(\x01\x12\r\n\x05upper\x18\x02 \x01(\x01\x12\r\n\x05lower\x18\x03 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\x01(\t\"f\n\x0eStringsSummary\x12)\n\x0cunique_count\x18\x01 \x01(\x0b\x32\x13.UniqueCountSummary\x12)\n\x08\x66requent\x18\x02 \x01(\x0b\x32\x17.FrequentStringsSummary\"\x9d\x01\n\rSchemaSummary\x12$\n\rinferred_type\x18\x01 \x01(\x0b\x32\r.InferredType\x12\x33\n\x0btype_counts\x18\x02 \x03(\x0b\x32\x1e.SchemaSummary.TypeCountsEntry\x1a\x31\n\x0fTypeCountsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x03:\x02\x38\x01\"\x80\x01\n\x10HistogramSummary\x12\r\n\x05start\x18\x01 \x01(\x01\x12\x0b\n\x03\x65nd\x18\x02 \x01(\x01\x12\r\n\x05width\x18\x03 \x01(\x01\x12\x0e\n\x06\x63ounts\x18\x04 \x03(\x03\x12\x0b\n\x03max\x18\x05 \x01(\x01\x12\x0b\n\x03min\x18\x06 \x01(\x01\x12\x0c\n\x04\x62ins\x18\x07 \x03(\x01\x12\t\n\x01n\x18\x08 \x01(\x03\"=\n\x0fQuantileSummary\x12\x11\n\tquantiles\x18\x01 \x03(\x01\x12\x17\n\x0fquantile_values\x18\x02 \x03(\x01\"\x94\x02\n\rNumberSummary\x12\r\n\x05\x63ount\x18\x01 \x01(\x04\x12\x0b\n\x03min\x18\x02 \x01(\x01\x12\x0b\n\x03max\x18\x03 \x01(\x01\x12\x0c\n\x04mean\x18\x04 \x01(\x01\x12\x0e\n\x06stddev\x18\x05 \x01(\x01\x12$\n\thistogram\x18\x06 \x01(\x0b\x32\x11.HistogramSummary\x12)\n\x0cunique_count\x18\x07 \x01(\x0b\x32\x13.UniqueCountSummary\x12#\n\tquantiles\x18\x08 \x01(\x0b\x32\x10.QuantileSummary\x12\x31\n\x10\x66requent_numbers\x18\t \x01(\x0b\x32\x17.FrequentNumbersSummary\x12\x13\n\x0bis_discrete\x18\n \x01(\x08\"\xf7\x01\n\rColumnSummary\x12\x1b\n\x08\x63ounters\x18\x01 \x01(\x0b\x32\t.Counters\x12\x1e\n\x06schema\x18\x02 \x01(\x0b\x32\x0e.SchemaSummary\x12&\n\x0enumber_summary\x18\x03 \x01(\x0b\x32\x0e.NumberSummary\x12\'\n\x0estring_summary\x18\x04 \x01(\x0b\x32\x0f.StringsSummary\x12-\n\x0e\x66requent_items\x18\x05 \x01(\x0b\x32\x15.FrequentItemsSummary\x12)\n\x0cunique_count\x18\x06 \x01(\x0b\x32\x13.UniqueCountSummary\"\xa7\x01\n\x0e\x44\x61tasetSummary\x12&\n\nproperties\x18\x01 \x01(\x0b\x32\x12.DatasetProperties\x12-\n\x07\x63olumns\x18\x02 \x03(\x0b\x32\x1c.DatasetSummary.ColumnsEntry\x1a>\n\x0c\x43olumnsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x1d\n\x05value\x18\x02 \x01(\x0b\x32\x0e.ColumnSummary:\x02\x38\x01\"\x87\x01\n\x10\x44\x61tasetSummaries\x12\x31\n\x08profiles\x18\x01 \x03(\x0b\x32\x1f.DatasetSummaries.ProfilesEntry\x1a@\n\rProfilesEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x1e\n\x05value\x18\x02 \x01(\x0b\x32\x0f.DatasetSummary:\x02\x38\x01\x42/\n com.whylabs.logging.core.messageB\tSummariesP\x01\x62\x06proto3' , dependencies=[google_dot_protobuf_dot_wrappers__pb2.DESCRIPTOR,messages__pb2.DESCRIPTOR,]) _UNIQUECOUNTSUMMARY = _descriptor.Descriptor( name='UniqueCountSummary', full_name='UniqueCountSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='estimate', full_name='UniqueCountSummary.estimate', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='upper', full_name='UniqueCountSummary.upper', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='lower', full_name='UniqueCountSummary.lower', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=67, serialized_end=135, ) _FREQUENTSTRINGSSUMMARY_FREQUENTITEM = _descriptor.Descriptor( name='FrequentItem', full_name='FrequentStringsSummary.FrequentItem', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='value', full_name='FrequentStringsSummary.FrequentItem.value', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='estimate', full_name='FrequentStringsSummary.FrequentItem.estimate', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=216, serialized_end=263, ) _FREQUENTSTRINGSSUMMARY = _descriptor.Descriptor( name='FrequentStringsSummary', full_name='FrequentStringsSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='items', full_name='FrequentStringsSummary.items', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_FREQUENTSTRINGSSUMMARY_FREQUENTITEM, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=137, serialized_end=263, ) _FREQUENTNUMBERSSUMMARY_FREQUENTDOUBLEITEM = _descriptor.Descriptor( name='FrequentDoubleItem', full_name='FrequentNumbersSummary.FrequentDoubleItem', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='estimate', full_name='FrequentNumbersSummary.FrequentDoubleItem.estimate', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='FrequentNumbersSummary.FrequentDoubleItem.value', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='rank', full_name='FrequentNumbersSummary.FrequentDoubleItem.rank', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=410, serialized_end=477, ) _FREQUENTNUMBERSSUMMARY_FREQUENTLONGITEM = _descriptor.Descriptor( name='FrequentLongItem', full_name='FrequentNumbersSummary.FrequentLongItem', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='estimate', full_name='FrequentNumbersSummary.FrequentLongItem.estimate', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='FrequentNumbersSummary.FrequentLongItem.value', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='rank', full_name='FrequentNumbersSummary.FrequentLongItem.rank', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=479, serialized_end=544, ) _FREQUENTNUMBERSSUMMARY = _descriptor.Descriptor( name='FrequentNumbersSummary', full_name='FrequentNumbersSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='doubles', full_name='FrequentNumbersSummary.doubles', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='longs', full_name='FrequentNumbersSummary.longs', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_FREQUENTNUMBERSSUMMARY_FREQUENTDOUBLEITEM, _FREQUENTNUMBERSSUMMARY_FREQUENTLONGITEM, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=266, serialized_end=544, ) _FREQUENTITEMSSUMMARY_FREQUENTITEM = _descriptor.Descriptor( name='FrequentItem', full_name='FrequentItemsSummary.FrequentItem', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='estimate', full_name='FrequentItemsSummary.FrequentItem.estimate', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='json_value', full_name='FrequentItemsSummary.FrequentItem.json_value', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=621, serialized_end=673, ) _FREQUENTITEMSSUMMARY = _descriptor.Descriptor( name='FrequentItemsSummary', full_name='FrequentItemsSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='items', full_name='FrequentItemsSummary.items', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_FREQUENTITEMSSUMMARY_FREQUENTITEM, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=546, serialized_end=673, ) _STRINGSSUMMARY = _descriptor.Descriptor( name='StringsSummary', full_name='StringsSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='unique_count', full_name='StringsSummary.unique_count', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='frequent', full_name='StringsSummary.frequent', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=675, serialized_end=777, ) _SCHEMASUMMARY_TYPECOUNTSENTRY = _descriptor.Descriptor( name='TypeCountsEntry', full_name='SchemaSummary.TypeCountsEntry', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='key', full_name='SchemaSummary.TypeCountsEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='SchemaSummary.TypeCountsEntry.value', index=1, number=2, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'8\001', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=888, serialized_end=937, ) _SCHEMASUMMARY = _descriptor.Descriptor( name='SchemaSummary', full_name='SchemaSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='inferred_type', full_name='SchemaSummary.inferred_type', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type_counts', full_name='SchemaSummary.type_counts', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_SCHEMASUMMARY_TYPECOUNTSENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=780, serialized_end=937, ) _HISTOGRAMSUMMARY = _descriptor.Descriptor( name='HistogramSummary', full_name='HistogramSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='start', full_name='HistogramSummary.start', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='end', full_name='HistogramSummary.end', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='width', full_name='HistogramSummary.width', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='counts', full_name='HistogramSummary.counts', index=3, number=4, type=3, cpp_type=2, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max', full_name='HistogramSummary.max', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='min', full_name='HistogramSummary.min', index=5, number=6, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='bins', full_name='HistogramSummary.bins', index=6, number=7, type=1, cpp_type=5, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='n', full_name='HistogramSummary.n', index=7, number=8, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=940, serialized_end=1068, ) _QUANTILESUMMARY = _descriptor.Descriptor( name='QuantileSummary', full_name='QuantileSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='quantiles', full_name='QuantileSummary.quantiles', index=0, number=1, type=1, cpp_type=5, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='quantile_values', full_name='QuantileSummary.quantile_values', index=1, number=2, type=1, cpp_type=5, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1070, serialized_end=1131, ) _NUMBERSUMMARY = _descriptor.Descriptor( name='NumberSummary', full_name='NumberSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='count', full_name='NumberSummary.count', index=0, number=1, type=4, cpp_type=4, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='min', full_name='NumberSummary.min', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max', full_name='NumberSummary.max', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='mean', full_name='NumberSummary.mean', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='stddev', full_name='NumberSummary.stddev', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='histogram', full_name='NumberSummary.histogram', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='unique_count', full_name='NumberSummary.unique_count', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='quantiles', full_name='NumberSummary.quantiles', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='frequent_numbers', full_name='NumberSummary.frequent_numbers', index=8, number=9, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='is_discrete', full_name='NumberSummary.is_discrete', index=9, number=10, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1134, serialized_end=1410, ) _COLUMNSUMMARY = _descriptor.Descriptor( name='ColumnSummary', full_name='ColumnSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='counters', full_name='ColumnSummary.counters', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='schema', full_name='ColumnSummary.schema', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='number_summary', full_name='ColumnSummary.number_summary', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='string_summary', full_name='ColumnSummary.string_summary', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='frequent_items', full_name='ColumnSummary.frequent_items', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='unique_count', full_name='ColumnSummary.unique_count', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1413, serialized_end=1660, ) _DATASETSUMMARY_COLUMNSENTRY = _descriptor.Descriptor( name='ColumnsEntry', full_name='DatasetSummary.ColumnsEntry', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='key', full_name='DatasetSummary.ColumnsEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='DatasetSummary.ColumnsEntry.value', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'8\001', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1768, serialized_end=1830, ) _DATASETSUMMARY = _descriptor.Descriptor( name='DatasetSummary', full_name='DatasetSummary', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='properties', full_name='DatasetSummary.properties', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='columns', full_name='DatasetSummary.columns', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_DATASETSUMMARY_COLUMNSENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1663, serialized_end=1830, ) _DATASETSUMMARIES_PROFILESENTRY = _descriptor.Descriptor( name='ProfilesEntry', full_name='DatasetSummaries.ProfilesEntry', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='key', full_name='DatasetSummaries.ProfilesEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='value', full_name='DatasetSummaries.ProfilesEntry.value', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'8\001', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1904, serialized_end=1968, ) _DATASETSUMMARIES = _descriptor.Descriptor( name='DatasetSummaries', full_name='DatasetSummaries', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='profiles', full_name='DatasetSummaries.profiles', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_DATASETSUMMARIES_PROFILESENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1833, serialized_end=1968, ) _FREQUENTSTRINGSSUMMARY_FREQUENTITEM.containing_type = _FREQUENTSTRINGSSUMMARY _FREQUENTSTRINGSSUMMARY.fields_by_name['items'].message_type = _FREQUENTSTRINGSSUMMARY_FREQUENTITEM _FREQUENTNUMBERSSUMMARY_FREQUENTDOUBLEITEM.containing_type = _FREQUENTNUMBERSSUMMARY _FREQUENTNUMBERSSUMMARY_FREQUENTLONGITEM.containing_type = _FREQUENTNUMBERSSUMMARY _FREQUENTNUMBERSSUMMARY.fields_by_name['doubles'].message_type = _FREQUENTNUMBERSSUMMARY_FREQUENTDOUBLEITEM _FREQUENTNUMBERSSUMMARY.fields_by_name['longs'].message_type = _FREQUENTNUMBERSSUMMARY_FREQUENTLONGITEM _FREQUENTITEMSSUMMARY_FREQUENTITEM.containing_type = _FREQUENTITEMSSUMMARY _FREQUENTITEMSSUMMARY.fields_by_name['items'].message_type = _FREQUENTITEMSSUMMARY_FREQUENTITEM _STRINGSSUMMARY.fields_by_name['unique_count'].message_type = _UNIQUECOUNTSUMMARY _STRINGSSUMMARY.fields_by_name['frequent'].message_type = _FREQUENTSTRINGSSUMMARY _SCHEMASUMMARY_TYPECOUNTSENTRY.containing_type = _SCHEMASUMMARY _SCHEMASUMMARY.fields_by_name['inferred_type'].message_type = messages__pb2._INFERREDTYPE _SCHEMASUMMARY.fields_by_name['type_counts'].message_type = _SCHEMASUMMARY_TYPECOUNTSENTRY _NUMBERSUMMARY.fields_by_name['histogram'].message_type = _HISTOGRAMSUMMARY _NUMBERSUMMARY.fields_by_name['unique_count'].message_type = _UNIQUECOUNTSUMMARY _NUMBERSUMMARY.fields_by_name['quantiles'].message_type = _QUANTILESUMMARY _NUMBERSUMMARY.fields_by_name['frequent_numbers'].message_type = _FREQUENTNUMBERSSUMMARY _COLUMNSUMMARY.fields_by_name['counters'].message_type = messages__pb2._COUNTERS _COLUMNSUMMARY.fields_by_name['schema'].message_type = _SCHEMASUMMARY _COLUMNSUMMARY.fields_by_name['number_summary'].message_type = _NUMBERSUMMARY _COLUMNSUMMARY.fields_by_name['string_summary'].message_type = _STRINGSSUMMARY _COLUMNSUMMARY.fields_by_name['frequent_items'].message_type = _FREQUENTITEMSSUMMARY _COLUMNSUMMARY.fields_by_name['unique_count'].message_type = _UNIQUECOUNTSUMMARY _DATASETSUMMARY_COLUMNSENTRY.fields_by_name['value'].message_type = _COLUMNSUMMARY _DATASETSUMMARY_COLUMNSENTRY.containing_type = _DATASETSUMMARY _DATASETSUMMARY.fields_by_name['properties'].message_type = messages__pb2._DATASETPROPERTIES _DATASETSUMMARY.fields_by_name['columns'].message_type = _DATASETSUMMARY_COLUMNSENTRY _DATASETSUMMARIES_PROFILESENTRY.fields_by_name['value'].message_type = _DATASETSUMMARY _DATASETSUMMARIES_PROFILESENTRY.containing_type = _DATASETSUMMARIES _DATASETSUMMARIES.fields_by_name['profiles'].message_type = _DATASETSUMMARIES_PROFILESENTRY DESCRIPTOR.message_types_by_name['UniqueCountSummary'] = _UNIQUECOUNTSUMMARY DESCRIPTOR.message_types_by_name['FrequentStringsSummary'] = _FREQUENTSTRINGSSUMMARY DESCRIPTOR.message_types_by_name['FrequentNumbersSummary'] = _FREQUENTNUMBERSSUMMARY DESCRIPTOR.message_types_by_name['FrequentItemsSummary'] = _FREQUENTITEMSSUMMARY DESCRIPTOR.message_types_by_name['StringsSummary'] = _STRINGSSUMMARY DESCRIPTOR.message_types_by_name['SchemaSummary'] = _SCHEMASUMMARY DESCRIPTOR.message_types_by_name['HistogramSummary'] = _HISTOGRAMSUMMARY DESCRIPTOR.message_types_by_name['QuantileSummary'] = _QUANTILESUMMARY DESCRIPTOR.message_types_by_name['NumberSummary'] = _NUMBERSUMMARY DESCRIPTOR.message_types_by_name['ColumnSummary'] = _COLUMNSUMMARY DESCRIPTOR.message_types_by_name['DatasetSummary'] = _DATASETSUMMARY DESCRIPTOR.message_types_by_name['DatasetSummaries'] = _DATASETSUMMARIES _sym_db.RegisterFileDescriptor(DESCRIPTOR) UniqueCountSummary = _reflection.GeneratedProtocolMessageType('UniqueCountSummary', (_message.Message,), { 'DESCRIPTOR' : _UNIQUECOUNTSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:UniqueCountSummary) }) _sym_db.RegisterMessage(UniqueCountSummary) FrequentStringsSummary = _reflection.GeneratedProtocolMessageType('FrequentStringsSummary', (_message.Message,), { 'FrequentItem' : _reflection.GeneratedProtocolMessageType('FrequentItem', (_message.Message,), { 'DESCRIPTOR' : _FREQUENTSTRINGSSUMMARY_FREQUENTITEM, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:FrequentStringsSummary.FrequentItem) }) , 'DESCRIPTOR' : _FREQUENTSTRINGSSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:FrequentStringsSummary) }) _sym_db.RegisterMessage(FrequentStringsSummary) _sym_db.RegisterMessage(FrequentStringsSummary.FrequentItem) FrequentNumbersSummary = _reflection.GeneratedProtocolMessageType('FrequentNumbersSummary', (_message.Message,), { 'FrequentDoubleItem' : _reflection.GeneratedProtocolMessageType('FrequentDoubleItem', (_message.Message,), { 'DESCRIPTOR' : _FREQUENTNUMBERSSUMMARY_FREQUENTDOUBLEITEM, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:FrequentNumbersSummary.FrequentDoubleItem) }) , 'FrequentLongItem' : _reflection.GeneratedProtocolMessageType('FrequentLongItem', (_message.Message,), { 'DESCRIPTOR' : _FREQUENTNUMBERSSUMMARY_FREQUENTLONGITEM, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:FrequentNumbersSummary.FrequentLongItem) }) , 'DESCRIPTOR' : _FREQUENTNUMBERSSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:FrequentNumbersSummary) }) _sym_db.RegisterMessage(FrequentNumbersSummary) _sym_db.RegisterMessage(FrequentNumbersSummary.FrequentDoubleItem) _sym_db.RegisterMessage(FrequentNumbersSummary.FrequentLongItem) FrequentItemsSummary = _reflection.GeneratedProtocolMessageType('FrequentItemsSummary', (_message.Message,), { 'FrequentItem' : _reflection.GeneratedProtocolMessageType('FrequentItem', (_message.Message,), { 'DESCRIPTOR' : _FREQUENTITEMSSUMMARY_FREQUENTITEM, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:FrequentItemsSummary.FrequentItem) }) , 'DESCRIPTOR' : _FREQUENTITEMSSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:FrequentItemsSummary) }) _sym_db.RegisterMessage(FrequentItemsSummary) _sym_db.RegisterMessage(FrequentItemsSummary.FrequentItem) StringsSummary = _reflection.GeneratedProtocolMessageType('StringsSummary', (_message.Message,), { 'DESCRIPTOR' : _STRINGSSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:StringsSummary) }) _sym_db.RegisterMessage(StringsSummary) SchemaSummary = _reflection.GeneratedProtocolMessageType('SchemaSummary', (_message.Message,), { 'TypeCountsEntry' : _reflection.GeneratedProtocolMessageType('TypeCountsEntry', (_message.Message,), { 'DESCRIPTOR' : _SCHEMASUMMARY_TYPECOUNTSENTRY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:SchemaSummary.TypeCountsEntry) }) , 'DESCRIPTOR' : _SCHEMASUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:SchemaSummary) }) _sym_db.RegisterMessage(SchemaSummary) _sym_db.RegisterMessage(SchemaSummary.TypeCountsEntry) HistogramSummary = _reflection.GeneratedProtocolMessageType('HistogramSummary', (_message.Message,), { 'DESCRIPTOR' : _HISTOGRAMSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:HistogramSummary) }) _sym_db.RegisterMessage(HistogramSummary) QuantileSummary = _reflection.GeneratedProtocolMessageType('QuantileSummary', (_message.Message,), { 'DESCRIPTOR' : _QUANTILESUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:QuantileSummary) }) _sym_db.RegisterMessage(QuantileSummary) NumberSummary = _reflection.GeneratedProtocolMessageType('NumberSummary', (_message.Message,), { 'DESCRIPTOR' : _NUMBERSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:NumberSummary) }) _sym_db.RegisterMessage(NumberSummary) ColumnSummary = _reflection.GeneratedProtocolMessageType('ColumnSummary', (_message.Message,), { 'DESCRIPTOR' : _COLUMNSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:ColumnSummary) }) _sym_db.RegisterMessage(ColumnSummary) DatasetSummary = _reflection.GeneratedProtocolMessageType('DatasetSummary', (_message.Message,), { 'ColumnsEntry' : _reflection.GeneratedProtocolMessageType('ColumnsEntry', (_message.Message,), { 'DESCRIPTOR' : _DATASETSUMMARY_COLUMNSENTRY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:DatasetSummary.ColumnsEntry) }) , 'DESCRIPTOR' : _DATASETSUMMARY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:DatasetSummary) }) _sym_db.RegisterMessage(DatasetSummary) _sym_db.RegisterMessage(DatasetSummary.ColumnsEntry) DatasetSummaries = _reflection.GeneratedProtocolMessageType('DatasetSummaries', (_message.Message,), { 'ProfilesEntry' : _reflection.GeneratedProtocolMessageType('ProfilesEntry', (_message.Message,), { 'DESCRIPTOR' : _DATASETSUMMARIES_PROFILESENTRY, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:DatasetSummaries.ProfilesEntry) }) , 'DESCRIPTOR' : _DATASETSUMMARIES, '__module__' : 'summaries_pb2' # @@protoc_insertion_point(class_scope:DatasetSummaries) }) _sym_db.RegisterMessage(DatasetSummaries) _sym_db.RegisterMessage(DatasetSummaries.ProfilesEntry) DESCRIPTOR._options = None _SCHEMASUMMARY_TYPECOUNTSENTRY._options = None _DATASETSUMMARY_COLUMNSENTRY._options = None _DATASETSUMMARIES_PROFILESENTRY._options = None # @@protoc_insertion_point(module_scope)

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3,612

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py

Python

nlp_architect/procedures/registry.py

unifiedcompliance/nlp-architect

8dc5cb8bb9254e9d621dd4ba47e6eeb6e71d4ce1

[ "Apache-2.0" ]

null

nlp_architect/procedures/registry.py

unifiedcompliance/nlp-architect

8dc5cb8bb9254e9d621dd4ba47e6eeb6e71d4ce1

[ "Apache-2.0" ]

null

nlp_architect/procedures/registry.py

unifiedcompliance/nlp-architect

8dc5cb8bb9254e9d621dd4ba47e6eeb6e71d4ce1

[ "Apache-2.0" ]

1

2020-10-09T10:33:51.000Z

# ****************************************************************************** # Copyright 2017-2019 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ****************************************************************************** # Register procedures to be used by CLI from nlp_architect.cli.cmd_registry import CMD_REGISTRY from nlp_architect.procedures.procedure import Procedure def register_cmd(registry: dict, name: str, description: str): def register_cmd_fn(cls): if not issubclass(cls, Procedure): raise ValueError('Registered class must be subclassed from Procedure') if name in registry: raise ValueError('Cannot register duplicate model {}'.format(name)) run_fn = cls.run_procedure arg_adder_fn = cls.add_arguments new_cmd = {'name': name, 'description': description, 'fn': run_fn, 'arg_adder': arg_adder_fn} registry.append(new_cmd) return cls return register_cmd_fn def register_train_cmd(name: str, description: str): return register_cmd(CMD_REGISTRY['train'], name, description) def register_infer_cmd(name: str, description: str): return register_cmd(CMD_REGISTRY['infer'], name, description) def register_run_cmd(name: str, description: str): return register_cmd(CMD_REGISTRY['run'], name, description) def register_process_cmd(name: str, description: str): return register_cmd(CMD_REGISTRY['process'], name, description) def register_solution_cmd(name: str, description: str): return register_cmd(CMD_REGISTRY['solution'], name, description) def register_serve_cmd(name: str, description: str): return register_cmd(CMD_REGISTRY['serve'], name, description)

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null

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1

0

1

0

2

5a69359174a2c41c5f2e8de9d3bb630e361fac0f

778

py

Python

tests/test_ipipy.py

jaychoo/ipipy

7643f3e81e60409d881b9d47be5dbe68bbc577b9

[ "BSD-3-Clause" ]

null

tests/test_ipipy.py

jaychoo/ipipy

7643f3e81e60409d881b9d47be5dbe68bbc577b9

[ "BSD-3-Clause" ]

null

tests/test_ipipy.py

jaychoo/ipipy

7643f3e81e60409d881b9d47be5dbe68bbc577b9

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_ipipy ---------------------------------- Tests for `ipipy` module. """ import unittest from flask import json import requests from ipipy import ipipy class TestIpipy(unittest.TestCase): def setUp(self): self.app = ipipy.setup_web().test_client() def is_valid(self, response): if 'ip' not in response: return False if len(response['ip'].split('.')) != 4: return False return True def testCmd(self): return self.is_valid(ipipy.main()) def testWeb(self): response = self.app.get('/') return self.is_valid(json.loads(response.data)) def tearDown(self): pass if __name__ == '__main__': unittest.main()

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0

null

0

null

0

1

0

1

0

2

5a73cbbb57ebeb2cee86cbfbb0c964e8923eb012

347

py

Python

python/tests/test_quicksort.py

abdu-zeyad/data-structures-and-algorithms

2f35985da2277de3aed17e391fe972b34e53e63f

[ "MIT" ]

1

2021-08-12T17:11:19.000Z

python/tests/test_quicksort.py

abdu-zeyad/data-structures-and-algorithms

2f35985da2277de3aed17e391fe972b34e53e63f

[ "MIT" ]

7

2021-08-08T15:50:47.000Z

2021-09-11T20:55:39.000Z

python/tests/test_quicksort.py

abdu-zeyad/data-structures-and-algorithms

2f35985da2277de3aed17e391fe972b34e53e63f

[ "MIT" ]

1

2021-11-23T17:45:42.000Z

from code_challenges.QuickSort.quicksort import __version__ from code_challenges.QuickSort.quicksort.quicksort import quick_sort def test_version(): assert __version__ == '0.1.0' def test_quick_sort(): arr = [5, 4, 3, 7] quick_sort(0, len(arr) - 1, arr) actual = arr excepted = [3, 4, 5, 7] assert actual == excepted

20.411765

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347

16

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1

0

null

0

2

5a75d825b685c56c9084e03eb9921dae1da1ac59

2,380

py

Python

tests/test_basics.py

geopython/pygml

825a6a400e7dc9fd55365669572dcdbe62bf41e5

[ "MIT" ]

3

2021-07-15T07:46:11.000Z

2021-09-08T17:51:52.000Z

tests/test_basics.py

geopython/pygml

825a6a400e7dc9fd55365669572dcdbe62bf41e5

[ "MIT" ]

1

2021-09-09T08:06:08.000Z

2021-09-17T19:46:04.000Z

tests/test_basics.py

geopython/pygml

825a6a400e7dc9fd55365669572dcdbe62bf41e5

[ "MIT" ]

2

2021-11-02T12:15:20.000Z

2022-03-22T06:56:49.000Z

import pytest from pygml.basics import ( parse_coordinates, parse_poslist, parse_pos, swap_coordinate_xy, swap_coordinates_xy ) def test_parse_coordinates(): # basic test result = parse_coordinates('12.34 56.7,89.10 11.12') assert result == [(12.34, 56.7), (89.10, 11.12)] # ignore some whitespace result = parse_coordinates('12.34 56.7, 89.10 11.12') assert result == [(12.34, 56.7), (89.10, 11.12)] # custom cs result = parse_coordinates('12.34 56.7;89.10 11.12', cs=';') assert result == [(12.34, 56.7), (89.10, 11.12)] # custom ts result = parse_coordinates('12.34:56.7,89.10:11.12', ts=':') assert result == [(12.34, 56.7), (89.10, 11.12)] # custom cs/ts result = parse_coordinates('12.34:56.7;89.10:11.12', cs=';', ts=':') assert result == [(12.34, 56.7), (89.10, 11.12)] # custom cs/ts and decimal result = parse_coordinates( '12,34:56,7;89,10:11,12', cs=';', ts=':', decimal=',' ) assert result == [(12.34, 56.7), (89.10, 11.12)] def test_parse_poslist(): # basic test result = parse_poslist('12.34 56.7 89.10 11.12') assert result == [(12.34, 56.7), (89.10, 11.12)] # 3D coordinates result = parse_poslist('12.34 56.7 89.10 11.12 13.14 15.16', dimensions=3) assert result == [(12.34, 56.7, 89.10), (11.12, 13.14, 15.16)] # exception on wrong dimensionality with pytest.raises(ValueError): parse_poslist('12.34 56.7 89.10 11.12', dimensions=3) def test_parse_pos(): # basic test result = parse_pos('12.34 56.7') assert result == (12.34, 56.7) # 3D pos result = parse_pos('12.34 56.7 89.10') assert result == (12.34, 56.7, 89.10) def test_swap_coordinate_xy(): # basic test swapped = swap_coordinate_xy((12.34, 56.7)) assert swapped == (56.7, 12.34) # 3D coords, only X/Y are to be swapped swapped = swap_coordinate_xy((12.34, 56.7, 89.10)) assert swapped == (56.7, 12.34, 89.10) def test_swap_coordinates_xy(): # basic test swapped = swap_coordinates_xy( [(12.34, 56.7), (89.10, 11.12)] ) assert swapped == [(56.7, 12.34), (11.12, 89.10)] # 3D coords, only X/Y are to be swapped swapped = swap_coordinates_xy( [(12.34, 56.7, 89.10), (11.12, 13.14, 15.16)] ) assert swapped == [(56.7, 12.34, 89.10), (13.14, 11.12, 15.16)]

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0.12672

0.739319

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0.66908

0.632875

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2,380

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0

null

0

1

0

1

0

null

0

2

5a809828287e6e656fcaa5d30b9cc2a20b94aa56

130

py

Python

homework_day_4/2.py

wxz896446511/Manyu

5974ba3a3f27fbaf53bf9f876150ff764a70ac46

[ "Apache-2.0" ]

4

2018-09-26T00:48:02.000Z

2020-08-21T02:06:59.000Z

homework_day_4/2.py

wxz896446511/Manyu

5974ba3a3f27fbaf53bf9f876150ff764a70ac46

[ "Apache-2.0" ]

null

homework_day_4/2.py

wxz896446511/Manyu

5974ba3a3f27fbaf53bf9f876150ff764a70ac46

[ "Apache-2.0" ]

1

2020-08-21T02:07:04.000Z

def sumDigits(n): s=0 while n!=0: s=s+n%10 n=n/10 return s x=eval(raw_input('>>')) print(sumDigits(x))

13

23

0.515385

24

130

2.75

0.541667

0.090909

0

0.065217

0.292308

130

9

24

14.444444

0.652174

0

0.015385

0

1

0.125

false

0

0.25

0.125

1

0

null

0

1

0

null

0

2

ce453122e8ec87a8f9ab8935d5e27595c30719d4

1,691

py

Python

src/config.py

bcgov/mssql-csv-import-tool

ef3fe484513e6e60c6ef980c09bcef1df9e6db53

[ "Apache-2.0" ]

1

2021-06-24T20:59:02.000Z

src/config.py

bcgov/mssql-csv-import-tool

ef3fe484513e6e60c6ef980c09bcef1df9e6db53

[ "Apache-2.0" ]

3

2021-06-17T16:11:29.000Z

2021-06-24T20:23:57.000Z

src/config.py

bcgov/mssql-csv-import-tool

ef3fe484513e6e60c6ef980c09bcef1df9e6db53

[ "Apache-2.0" ]

null

import os from dotenv import load_dotenv basedir = os.path.abspath(os.path.dirname(__file__)) load_dotenv() class Config: TEST_DB_HOST = os.getenv('TEST_DB_HOST') TEST_DB_NAME = os.getenv('TEST_DB_NAME') TEST_DB_USERNAME = os.getenv('TEST_DB_USERNAME') TEST_DB_PASSWORD = os.getenv('TEST_DB_PASSWORD') # Path of destination Windows share from local perspective TEST_SHARE_LOCAL = os.getenv('TEST_SHARE_LOCAL') # Path of destination Windows share from database server perspective TEST_SHARE_DB = os.getenv('TEST_SHARE_DB') # BI PRODUCTION DATABASE PROD_DB_HOST = os.getenv('PROD_DB_HOST') PROD_DB_NAME = os.getenv('PROD_DB_NAME') PROD_DB_USERNAME = os.getenv('PROD_DB_USERNAME') PROD_DB_PASSWORD = os.getenv('PROD_DB_PASSWORD') # Path of destination Windows share from local perspective PROD_SHARE_LOCAL = os.getenv('PROD_SHARE_LOCAL') # Path of destination Windows share from database server perspective PROD_SHARE_DB = os.getenv('PROD_SHARE_DB') # THE ODBC DRIVER MUST BE INSTALLED IN THE CONTAINER ODBC_DRIVER = 'ODBC Driver 17 for SQL Server' # Pandas options CHUNK_SIZE = 5000 TEMPORARY_TABLE_NAME = '#temporary_data' # Number of seconds to wait before bulk importing the temporary file BULK_IMPORT_WAIT = int(os.getenv('BULK_IMPORT_WAIT', '10'))

42.275

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0.595506

200

1,691

4.72

0.29

0.110169

0.076271

0.059322

0.269068

0

0.007156

0.338853

1,691

39

84

43.358974

0.837209

0.238321

0

0.181392

0

1

0

false

0.095238

0.142857

0

0.952381

0

null

0

null

0

1

0

1

0

2

ce500e92c8647424cdc0eb842d7769b26f865f63

150

py

Python

atcoder/corp/code-festival-2017-qualc_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

1

2018-11-12T15:18:55.000Z

atcoder/corp/code-festival-2017-qualc_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

atcoder/corp/code-festival-2017-qualc_a.py

knuu/competitive-programming

16bc68fdaedd6f96ae24310d697585ca8836ab6e

[ "MIT" ]

null

def main() -> None: S = input() print("Yes" if "AC" in [S[i:i+2] for i in range(len(S)-1)] else "No") if __name__ == '__main__': main()

18.75

73

0.526667

27

150

2.62963

0.703704

0

0.017699

0.246667

150

7

74

21.428571

0.610619

0

0.1

0

1

0.2

false

0

0.2

1

0

null

0

1

0

null

0

2

ce504524211e0f392f513e142031803b1b395bcd

237

py

Python

exercices/33.py

DegrangeM/alien-python

e0ef81bc87795a27536ce35a5117aabae78f95de

[ "MIT" ]

4

2021-09-17T20:09:33.000Z

2021-11-18T08:52:48.000Z

exercices/33.py

DegrangeM/alien-python

e0ef81bc87795a27536ce35a5117aabae78f95de

[ "MIT" ]

null

exercices/33.py

DegrangeM/alien-python

e0ef81bc87795a27536ce35a5117aabae78f95de

[ "MIT" ]

null

from libs.alien import * gauche(6) bas(3) for loop in range(4) : droite() if colonne() > 5 : for loop in range(4) : haut() else : for loop in range(2) : bas() droite() bas(2) ss()

14.8125

30

0.481013

34

237

3.352941

0.617647

0.184211

0.236842

0.368421

0.263158

0

0.047945

0.383966

237

16

31

14.8125

0.732877

0

0.285714

0

1

0

false

0

0.071429

0

0.071429

0

null

0

1

0

null

0

2

ce553cde1a42544a1356cb8a117f94a4681ef4cd

70

py

Python

Python/4.py

manishaverma1012/programs

dd77546219eab2f2ee81dd0d599b78ebd8f95957

[ "MIT" ]

null

Python/4.py

manishaverma1012/programs

dd77546219eab2f2ee81dd0d599b78ebd8f95957

[ "MIT" ]

null

Python/4.py

manishaverma1012/programs

dd77546219eab2f2ee81dd0d599b78ebd8f95957

[ "MIT" ]

null

i= 1 while i<=3: print("Guess:", i) i=i+1 print("sorry you failed")

14

26

0.6

15

70

2.8

0.6

0.095238

0

0.051724

0.171429

70

5

26

14

0.672414

0

0.309859

0

1

0

false

0

0.4

1

0

null

0

1

0

null

0

2

ce5e297899c4f0312b4e41018c90658d822fcb18

815

py

Python

src/wellsfargo/fraud/__init__.py

thelabnyc/django-oscar-wfrs

9abd4ecbdafd597407fdf60657103cb5d29c4c8b

[ "0BSD" ]

1

2021-02-08T05:54:56.000Z

src/wellsfargo/fraud/__init__.py

thelabnyc/django-oscar-wfrs

9abd4ecbdafd597407fdf60657103cb5d29c4c8b

[ "0BSD" ]

24

2019-12-04T21:37:01.000Z

2022-03-11T23:16:20.000Z

src/wellsfargo/fraud/__init__.py

thelabnyc/django-oscar-wfrs

9abd4ecbdafd597407fdf60657103cb5d29c4c8b

[ "0BSD" ]

2

2016-05-31T10:02:35.000Z

2016-12-19T11:29:37.000Z

from django.core.exceptions import ImproperlyConfigured from ..settings import WFRS_FRAUD_PROTECTION import importlib def screen_transaction(request, order): klass = WFRS_FRAUD_PROTECTION["fraud_protection"] kwargs = WFRS_FRAUD_PROTECTION.get("fraud_protection_kwargs", {}) return _get_fraud_screener(klass, kwargs).screen_transaction(request, order) def _get_fraud_screener(klass, kwargs): FraudScreener = _load_cls_from_abs_path(klass) screener = FraudScreener(**kwargs) return screener def _load_cls_from_abs_path(path): pkgname, fnname = path.rsplit(".", 1) try: pkg = importlib.import_module(pkgname) return getattr(pkg, fnname) except (ImportError, AttributeError): raise ImproperlyConfigured("Could not import class at path {}".format(path))

32.6

84

0.754601

96

815

6.114583

0.447917

0.127768

0.097104

0.098808

0.153322

0

0.001451

0.154601

815

24

85

33.958333

0.850508

0

0.089571

0.028221

0

1

0.166667

false

0

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

2

ce6895f4cb84a021708a3855bf7c157c6c951976

629

py

Python

output.py

codesmithyide/bootstrap

1f2e06ee6ddebf9ec51d36832646bdf1487f12ad

[ "MIT" ]

null

output.py

codesmithyide/bootstrap

1f2e06ee6ddebf9ec51d36832646bdf1487f12ad

[ "MIT" ]

56

2017-06-04T10:54:24.000Z

2019-02-23T18:16:58.000Z

output.py

CodeSmithyIDE/Bootstrap

1f2e06ee6ddebf9ec51d36832646bdf1487f12ad

[ "MIT" ]

null

import json class Output: def __init__(self): self.current_step = 1 with open('predefined_strings.json', 'r') as file: self.predefined_strings = json.loads(file.read()) def print_predefined_string(self, string_id): print(self.predefined_strings[string_id]) def print_main_title(self): title = self.predefined_strings["title"] print(title) print('-' * len(title)) print("") def print_step_title(self, title): print("Step " + str(self.current_step) + ": " + title, flush=True) def next_step(self): self.current_step += 1

26.208333

74

0.620032

78

629

4.74359

0.371795

0.183784

0.121622

0.102703

0.108108

0

0.004255

0.252782

629

23

75

27.347826

0.782979

0

0.058824

0.036566

0

1

0.294118

false

0

0.058824

0

0.411765

0.470588

0

null

0

null

0

1

0

1

0

2

ce71bc8ddb487c4c4ee2974fa93d153940279479

5,545

py

Python

algorithms/Gaussian.py

lucaspg96/pattern-recognition

ba78c90795e9074825436e5cf5d394cedf869225

[ "MIT" ]

1

2018-11-08T00:59:15.000Z

algorithms/Gaussian.py

lucaspg96/pattern-recognition

ba78c90795e9074825436e5cf5d394cedf869225

[ "MIT" ]

null

algorithms/Gaussian.py

lucaspg96/pattern-recognition

ba78c90795e9074825436e5cf5d394cedf869225

[ "MIT" ]

null

import numpy as np from algorithms.utils import covariance from algorithms.LearningAlgorithm import LearningAlgorithm import math from algorithms import utils as ut class NormalNaiveBayes(): def fit(self,X,Y): classes = {} n = X.shape[0] for (x,y) in zip(X,Y): if not y in classes: classes[y] = [] classes[y].append(x) self.cells = {} for k in classes: data = np.array(classes[k]) m = np.mean(data,axis=0) std = np.std(data,axis=0) var = np.var(data,axis=0) i_var = np.array([1/v if not v == 0 else 0 for v in var]) self.cells[k] = { "icov": i_var, "cov_det": np.prod(var), "mean": m, "std": std, "prob_priori": data.shape[0]/n } def __prob__(self,x,k): s = self.cells[k]["std"] m = self.cells[k]["mean"] ic = self.cells[k]["icov"] cov_det = self.cells[k]["cov_det"] prob_priori = self.cells[k]["prob_priori"] z = x-m if cov_det == 0: cov_det = 1 return math.log(prob_priori) \ - 0.5*z.dot(ic*z) - 0.5*math.log(cov_det) def predict(self,x): distances = [(k,self.__prob__(x,k)) for k in self.cells] distances = sorted(distances,key=lambda x: x[1], reverse=True) return distances[0][0] def score(self,X,Y): predictions = [1 if self.predict(x)==y else 0 for x,y in zip(X,Y)] return sum(predictions)/len(predictions) class QuadraticGaussianClassifier(LearningAlgorithm): def __init__(self,check_invertibility=False,pinv_mode="friedman"): self.check_invertibility = check_invertibility self.pinv_mode = pinv_mode def fit(self,X,Y,itter=100): classes = {} n = X.shape[0] for (x,y) in zip(X,Y): if not y in classes: classes[y] = [] classes[y].append(x) self.cells = {} if self.check_invertibility: need_pinv = False for k in classes: data = np.array(classes[k]) m = np.mean(data,axis=0) std = np.std(data,axis=0) cov = ut.covariance(data.transpose()) invertibility, message = ut.is_invertible(cov) if invertibility: self.cells[k] = { "icov": np.linalg.inv(cov), "cov_det": np.linalg.det(cov), "mean": m, "std": std, "prob_priori": data.shape[0]/n } else: need_pinv = True break if need_pinv: if self.pinv_mode == "friedman": covs = ut.friedman_regularization(.5,1,classes) for k in classes: m = np.mean(data,axis=0) std = np.std(data,axis=0) cov = covs[k] self.cells[k] = { "icov": np.linalg.inv(cov), "cov_det": np.linalg.det(cov), "mean": m, "std": std, "prob_priori": data.shape[0]/n } elif self.pinv_mode == "pooled": cov = ut.pooled_covariance(classes) inv_cov = np.linalg.inv(cov) for k in classes: m = np.mean(data,axis=0) std = np.std(data,axis=0) self.cells[k] = { "icov":inv_cov, "cov_det": np.linalg.det(cov), "mean": m, "std": std, "prob_priori": data.shape[0]/n } else: raise Exception("Invalid pinv method: {}".format(self.pinv_mode)) else: for k in classes: data = np.array(classes[k]) m = np.mean(data,axis=0) std = np.std(data,axis=0) cov = ut.covariance(data.transpose()) self.cells[k] = { "icov": np.linalg.inv(cov), "cov_det": np.linalg.det(cov), "mean": m, "std": std, "prob_priori": data.shape[0]/n } def __prob__(self,x,k): s = self.cells[k]["std"] m = self.cells[k]["mean"] ic = self.cells[k]["icov"] cov_det = self.cells[k]["cov_det"] prob_priori = self.cells[k]["prob_priori"] z = x-m return math.log(prob_priori) \ - 0.5*np.matmul(z, np.matmul(ic,z)) - 0.5*math.log(cov_det) def predict(self,x): distances = [(k,self.__prob__(x,k)) for k in self.cells] distances = sorted(distances,key=lambda x: x[1], reverse=True) return distances[0][0] def score(self,X,Y): predictions = [1 if self.predict(x)==y else 0 for x,y in zip(X,Y)] return sum(predictions)/len(predictions)

35.318471

85

0.435167

643

5,545

3.653188

0.144635

0.072797

0.063857

0.04172

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86

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0

null

0

1

0

1

0

null

0

2

ce815d80a4756eb45c7dda47d3f543b7d704b448

862

py

Python

tests/helpers.py

gnikonorov/pytest-dynamicrerun

200f45830be5de3d088d092aaac2b11626c04668

[ "MIT" ]

null

tests/helpers.py

gnikonorov/pytest-dynamicrerun

200f45830be5de3d088d092aaac2b11626c04668

[ "MIT" ]

1

2020-08-10T00:58:07.000Z

2020-08-10T03:47:55.000Z

tests/helpers.py

gnikonorov/pytest-dynamicrerun

200f45830be5de3d088d092aaac2b11626c04668

[ "MIT" ]

null

# Test helper functions and classes class ParameterPassLevel: FLAG = 0 INI_KEY = 1 MARKER = 2 def _assert_result_outcomes( result, passed=0, skipped=0, failed=0, error=0, dynamic_rerun=0 ): outcomes = result.parseoutcomes() _check_outcome_field(outcomes, "passed", passed) _check_outcome_field(outcomes, "skipped", skipped) _check_outcome_field(outcomes, "failed", failed) _check_outcome_field(outcomes, "error", error) _check_outcome_field(outcomes, "dynamicrerun", dynamic_rerun) def _check_outcome_field(outcomes, field_name, expected_value): field_value = outcomes.get(field_name, 0) expected_value = int(expected_value) assert ( field_value == expected_value ), "outcomes.{} has unexpected value. Expected '{}' but got '{}'".format( field_name, expected_value, field_value )

29.724138

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862

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28

78

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0

null

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1

0

null

0

1

0

2

ce8500a76325b37723172e41d94a4b2cf48f2a9b

1,599

py

Python

tests/util.py

DPBayes/d3p

af3ba4eb5243494bd5e223c60e81f32a8dca1eab

[ "Apache-2.0" ]

6

2021-05-07T06:42:47.000Z

2022-03-10T13:19:54.000Z

tests/util.py

DPBayes/d3p

af3ba4eb5243494bd5e223c60e81f32a8dca1eab

[ "Apache-2.0" ]

null

tests/util.py

DPBayes/d3p

af3ba4eb5243494bd5e223c60e81f32a8dca1eab

[ "Apache-2.0" ]

2

2021-03-26T04:32:17.000Z

2022-02-09T16:30:05.000Z

# SPDX-License-Identifier: Apache-2.0 # SPDX-FileCopyrightText: © 2019- d3p Developers and their Assignees # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import jax import jax.numpy as jnp from functools import reduce def _and_reduce(iterable): return reduce(lambda x, y: x and y, iterable, True) def do_trees_have_same_structure(a, b): """Returns True if two jax trees have the same structure. """ return jax.tree_structure(a) == jax.tree_structure(b) def do_trees_have_same_shape(a, b): """Returns True if two jax trees have the same structure and the shapes of all corresponding leaves are identical. """ return do_trees_have_same_structure(a, b) and _and_reduce( jnp.shape(x) == jnp.shape(y) for x, y, in zip(jax.tree_leaves(a), jax.tree_leaves(b)) ) def are_trees_close(a, b): """Returns True if two jax trees have the same structure and all values are close. """ return do_trees_have_same_shape(a, b) and _and_reduce( jnp.allclose(x, y) for x, y, in zip(jax.tree_leaves(a), jax.tree_leaves(b)) )

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null

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null

0

1

0

1

0

2

ce859234f88358cc2190840873b79018e1951331

686

py

Python

tests/testRunPolicyIn1DEnv.py

ningtangla/-ModellingJointInferenceOfPhysicsAndMind

6da814c3aff77f23dd296bf0a050dfe7c69ac406

[ "MIT" ]

null

tests/testRunPolicyIn1DEnv.py

ningtangla/-ModellingJointInferenceOfPhysicsAndMind

6da814c3aff77f23dd296bf0a050dfe7c69ac406

[ "MIT" ]

null

tests/testRunPolicyIn1DEnv.py

ningtangla/-ModellingJointInferenceOfPhysicsAndMind

6da814c3aff77f23dd296bf0a050dfe7c69ac406

[ "MIT" ]

null

import sys sys.path.append('..') import unittest import numpy as np from ddt import ddt, data, unpack from anytree import AnyNode as Node # Local import from runPolicyInMujoco import evaluateMeanEpisodeLength, SampleTrajectory @ddt class TestRunPolicyIn1DEnv(unittest.TestCase): @data(([[(3, 1), (4, 1), (5, 1), (6, -1)]], 4), ([[]], 0), ([[(3, 1), (4, 1), (5, 1), (6, -1)], [(3, 1), (4, 1), (5, 1)], [(3, 1), (4, 1)], [(3, 1)], []], 2)) @unpack def testEvaluateMeanEpisodeLength(self, trajectory, groundTruthMeanEpisodeLength): meanEpisodeLength = evaluateMeanEpisodeLength(trajectory) self.assertEqual(meanEpisodeLength, groundTruthMeanEpisodeLength)

32.666667

162

0.666181

80

686

5.7125

0.45

0.021882

0.026258

0.035011

0.056893

0.04814

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686

20

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0

null

0

null

0

1

0

1

0

2

cea605fedc798597b790af87fb698cba62410fcd

3,309

py

Python

airplayer/mediabackends/base_media_backend.py

timgates42/Airplayer

cb6f6a393710a31f934e3c09de4f689158d23b50

[ "BSD-4-Clause" ]

86

2015-01-15T14:26:49.000Z

2021-12-25T11:01:25.000Z

airplayer/mediabackends/base_media_backend.py

timgates42/Airplayer

cb6f6a393710a31f934e3c09de4f689158d23b50

[ "BSD-4-Clause" ]

3

2016-06-22T22:17:16.000Z

2021-06-30T21:53:25.000Z

airplayer/mediabackends/base_media_backend.py

timgates42/Airplayer

cb6f6a393710a31f934e3c09de4f689158d23b50

[ "BSD-4-Clause" ]

16

2015-04-26T14:41:41.000Z

2021-06-30T12:05:37.000Z

import logging import base64 import urllib2 class BaseMediaBackend(object): def __init__(self, host, port, username=None, password=None): self._host = host self._port = port self._username = username self._password = password self.log = logging.getLogger('airplayer') def _http_request(self, req): """ Perform a http request andapply HTTP Basic authentication headers, if an username and password are supplied in settings. """ if self._username and self._password: base64string = base64.encodestring('%s:%s' % (self._username, self._password))[:-1] req.add_header("Authorization", "Basic %s" % base64string) try: return urllib2.urlopen(req).read() except urllib2.URLError, e: clsname = self.__class__.__name__ name = clsname.replace('MediaBackend', '') self.log.warning("Couldn't connect to %s at %s, are you sure it's running?", name, self.host_string()) return None def host_string(self): """ Convenience method, get a string with the current host and port. @return <host>:<port> """ return '%s:%d' % (self._host, self._port) def cleanup(self): """ Called when airplayer is about to shutdown. """ raise NotImplementedError def stop_playing(self): """ Stop playing media. """ raise NotImplementedError def show_picture(self, data): """ Show a picture. @param data raw picture data. """ raise NotImplementedError def play_movie(self, url): """ Play a movie from the given location. """ raise NotImplementedError def notify_started(self): """ Notify the user that Airplayer has started. """ raise NotImplementedError def pause(self): """ Pause media playback. """ raise NotImplementedError def play(self): """ Play media """ raise NotImplementedError def get_player_position(self): """ Get the current videoplayer positon. @returns int current position, int total length """ raise NotImplementedError def is_playing(self): """ Return wether the backend is currently playing any media. @returns boolean """ raise NotImplementedError def set_player_position(self, position): """ Set the current videoplayer position. @param position integer in seconds """ raise NotImplementedError def set_player_position_percentage(self, percentage_position): """ Set current videoplayer position, in percentage. @param percentage_position float """ raise NotImplementedError def set_start_position(self, percentage_position): """ Play media from the given location @param percentage_position float """ raise NotImplementedError

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317

3,309

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null

0

null

0

null

0

1

0

1

0

2

cec19968392e54c845e6e9743eb47db012fb8bc8

2,877

py

Python

conftest.py

StanfordVLSI/dragonphy2

996cc14f800b01c5ec0534e79dd2340f4de5e704

[ "Apache-2.0" ]

22

2020-04-27T18:06:50.000Z

2022-02-12T12:29:43.000Z

conftest.py

StanfordVLSI/dragonphy2

996cc14f800b01c5ec0534e79dd2340f4de5e704

[ "Apache-2.0" ]

130

2020-04-27T20:05:52.000Z

2021-07-29T22:12:57.000Z

conftest.py

StanfordVLSI/dragonphy2

996cc14f800b01c5ec0534e79dd2340f4de5e704

[ "Apache-2.0" ]

6

2020-08-15T16:31:55.000Z

2021-04-13T15:47:29.000Z

import pytest def pytest_addoption(parser): parser.addoption( '--dump_waveforms', action='store_true', help='Dump waveforms from test.' ) parser.addoption( '--simulator_name', default=None, type=str, help='Name of the simulator to use.' ) parser.addoption( '--board_name', default='ZC702', type=str, help='Name of the FPGA board.' ) parser.addoption( '--ser_port', default='/dev/ttyUSB2', type=str, help='USB serial path.' ) parser.addoption( '--ffe_length', default=4, type=int, help='Number of FFE coefficients per channel.' ) parser.addoption( '--emu_clk_freq', default=5.0e6, type=float, help='Frequency of emulator clock (Hz)' ) parser.addoption( '--prbs_test_dur', default=10.0, type=float, help='Length of time of the PRBS emulation test.' ) parser.addoption( '--fpga_sim_ctrl', default='UART_ZYNQ', type=str, help='Emulation control style (UART or VIO)' ) parser.addoption( '--jitter_rms', default=0, type=float, help='RMS sampling jitter (seconds)' ) parser.addoption( '--noise_rms', default=0, type=float, help='RMS ADC noise (Volts)' ) parser.addoption( '--flatten_hierarchy', default='rebuilt', type=str, help='Vivado synthesis option.' ) parser.addoption( '--chan_tau', default=25e-12, type=float, help='Time constant of channel used in emulation (seconds).' ) parser.addoption( '--chan_delay', default=31.25e-12, type=float, help='Delay of channel used in emulation (seconds).' ) @pytest.fixture def dump_waveforms(request): return request.config.getoption('--dump_waveforms') @pytest.fixture def simulator_name(request): return request.config.getoption('--simulator_name') @pytest.fixture def board_name(request): return request.config.getoption('--board_name') @pytest.fixture def ser_port(request): return request.config.getoption('--ser_port') @pytest.fixture def ffe_length(request): return request.config.getoption('--ffe_length') @pytest.fixture def emu_clk_freq(request): return request.config.getoption('--emu_clk_freq') @pytest.fixture def prbs_test_dur(request): return request.config.getoption('--prbs_test_dur') @pytest.fixture def fpga_sim_ctrl(request): return request.config.getoption('--fpga_sim_ctrl') @pytest.fixture def jitter_rms(request): return request.config.getoption('--jitter_rms') @pytest.fixture def noise_rms(request): return request.config.getoption('--noise_rms') @pytest.fixture def flatten_hierarchy(request): return request.config.getoption('--flatten_hierarchy') @pytest.fixture def chan_tau(request): return request.config.getoption('--chan_tau') @pytest.fixture def chan_delay(request): return request.config.getoption('--chan_delay')

26.88785

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363

2,877

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0.107716

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0.027965

0

0.009644

0.171011

2,877

106

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null

0

1

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null

0

1

0

2

cec5e4897187a98b9f0c6e12d180ee7a9333e6d7

5,117

py

Python

rpi/fish_stream.py

FishyByte/SushiRNG

79de6aff2acf7f0165ecc282beb9adb6f96b4ab8

[ "MIT" ]

5

2016-07-23T16:13:08.000Z

2019-09-06T10:29:03.000Z

rpi/fish_stream.py

FishyByte/SushiRNG

79de6aff2acf7f0165ecc282beb9adb6f96b4ab8

[ "MIT" ]

16

2016-06-23T01:55:31.000Z

2016-08-09T07:05:24.000Z

rpi/fish_stream.py

FishyByte/SushiRNG

79de6aff2acf7f0165ecc282beb9adb6f96b4ab8

[ "MIT" ]

3

2016-06-22T04:34:50.000Z

2021-05-14T17:17:44.000Z

#!/usr/bin/python # generates bits from fish movements # - Chris Asakawa # Copyright (c) 2016 Christopher Asakawa, Nicholas McHale, Matthew O'Brien, Corey Aing # This code is available under the "MIT License". # Please see the file COPYING in this distribution # for license terms. from bitstream import BitStream from numpy import * import time class FishStream: # init a BitStream to hold the bit values def __init__(self): self.stream = BitStream() self.fish_positions = [] self.zero_count = 0 self.one_count = 0 # helper function, add one to the stream and one count def add_zero(self): self.stream.write(False) self.zero_count += 1 # helper function, add zero to the stream and the zero count def add_one(self): self.stream.write(True) self.one_count += 1 def add_position(self, fish_id, x, y): # if velocity and acceleration is greater than these values # then flip the bit value. velocity_threshold = 5 acceleration_threshold = 5 # if the current index it empty this will throw # an indexException, and in which case, init the # current fish position at that index. try: # grab the past position of the current fish # - PREVIOUS - x_previous = self.fish_positions[fish_id][0] # position of x y_previous = self.fish_positions[fish_id][1] # position of y vx_previous = self.fish_positions[fish_id][2] # velocity of x vy_previous = self.fish_positions[fish_id][3] # velocity of y ax = ay = 0 # determine the current velocity if x_previous > x: vx = (x_previous - x) else: vx = (x - x_previous) if y_previous > y: vy = (y_previous - y) else: vy = (y - y_previous) # determine the current acceleration if vx_previous > vx: ax = vx_previous - vx else: ax = vx - vx_previous if vy_previous > vy: ay = vy_previous - vy else: ay = vy - vy_previous # current fish moved to the right if x_previous > x: if vx < velocity_threshold: if ax < acceleration_threshold: self.add_one() else: self.add_zero() else: if ax < acceleration_threshold: self.add_one() else: self.add_zero() # current fish moved to the left elif x_previous < x: if vx < velocity_threshold: if ax > acceleration_threshold: self.add_one() else: self.add_zero() else: if ax > acceleration_threshold: self.add_one() else: self.add_zero() # current fish moved up the screen if y_previous < y: if vy < velocity_threshold: if ay < acceleration_threshold: self.add_one() else: self.add_zero() else: if ay < acceleration_threshold: self.add_one() else: self.add_zero() # current fish moved down the screen elif y_previous > y: if vy < velocity_threshold: if ay > acceleration_threshold: self.add_one() else: self.add_zero() else: if ay > acceleration_threshold: self.add_one() else: self.add_zero() # overwrite previous positions with current self.fish_positions[fish_id] = [x, y, vx, vy] except IndexError: # new fish found, append is to the list self.fish_positions.append([x, y, 0, 0]) def print_stream(self): print self.stream # returns two values, probability of zero and one def get_probabilities(self): # calculate total (we use it twice) total = self.zero_count + self.one_count if total == 0: return 0, 0 # returns the probability of a zero and a one return float(self.zero_count) / total, \ float(self.one_count) / total def get_bits(self, length): while self.stream.__len__() < length: time.sleep(0.1) return_bits = self.stream.read(length) self.zero_count -= str(return_bits).count('0') self.one_count -= str(return_bits).count('1') return return_bits def get_length(self): return len(str(self.stream))

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null

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0

null

0

1

0

null

0

1

0

2

cec95d6163d06ad4abdd8d8cc63ae618e216b52f

887

py

Python

cognises/permissions_req.py

jrlaforge/cognises-flask

8616a3f10eea5e0472aa8a9a16326082b9af77b5

[ "MIT" ]

null

cognises/permissions_req.py

jrlaforge/cognises-flask

8616a3f10eea5e0472aa8a9a16326082b9af77b5

[ "MIT" ]

null

cognises/permissions_req.py

jrlaforge/cognises-flask

8616a3f10eea5e0472aa8a9a16326082b9af77b5

[ "MIT" ]

null

from functools import wraps def permission_required(group_detail): """ A flask decorator to check if the user has the permission to access a particular route. A json loaded data for the details of the groups is passed which has a key called "allowed_functions" which contains a list of all the functions allowed for that particular group. """ def decorator(t): @wraps(t) def decorated(details, *args, **kwargs): for each_obj in group_detail: if each_obj['group_name'] == details['user_group'][0]: allow = each_obj['allowed_functions'] if t.__name__ not in allow: return t({'message': 'Forbidden access', 'status': 401}) return t(details, *args, **kwargs) return decorated return decorator

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0.326945

887

24

79

36.958333

0.855946

0.302142

0

0.111864

0

1

0.214286

false

0

0.071429

0

0.571429

0

null

0

null

0

1

0

1

0

2

0c6891d7becb026d69677cb6ac7980cb1cd8fc97

622

py

Python

spHNF_manip/find_equivalent_basis.py

JohnEdChristensen/NiggliOptimize

e90b8c66e7b7e560c460502ee24991af775c625b

[ "MIT" ]

null

spHNF_manip/find_equivalent_basis.py

JohnEdChristensen/NiggliOptimize

e90b8c66e7b7e560c460502ee24991af775c625b

[ "MIT" ]

null

spHNF_manip/find_equivalent_basis.py

JohnEdChristensen/NiggliOptimize

e90b8c66e7b7e560c460502ee24991af775c625b

[ "MIT" ]

null

from math_mat_code_gen import * from opf_python import niggli_lat_id import numpy basis = [[1,2,2],[2,1,2],[4,3,3]] print niggli_lat_id.niggli_id(numpy.transpose(basis)) print print format_basis(basis) print format_pg(generate_pg(basis)) label = "n24_hR" equivalentBasis = find_equivalent_basis(basis, label) print "-------------------------------------------------------------------------" #if equivalentBasis[0][0] == 0: # print "No Equivalent Basis Found" #else: print niggli_lat_id.niggli_id(numpy.transpose(equivalentBasis)) print print format_basis(equivalentBasis) print format_pg(generate_pg(equivalentBasis))

31.1

81

0.697749

86

622

4.802326

0.383721

0.106538

0.079903

0.077482

0.2954

0.184019

0

0.024518

0.081994

622

19

82

32.736842

0.698774

0.110932

0

0.133333

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0.143636

0.132727

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0.2

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0.6

0

null

0

null

0

1

0

1

0

2

0c7166eef44aee2b2176045db3cba53d93891e65

393

py

Python

modules/agents/actions/eat_cellular_grass.py

ofavre/cellulart

b4152a3f74117e7f14df51ffc56c11f0f461c427

[ "BSD-3-Clause" ]

null

modules/agents/actions/eat_cellular_grass.py

ofavre/cellulart

b4152a3f74117e7f14df51ffc56c11f0f461c427

[ "BSD-3-Clause" ]

null

modules/agents/actions/eat_cellular_grass.py

ofavre/cellulart

b4152a3f74117e7f14df51ffc56c11f0f461c427

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # License: See LICENSE file. required_states = ['position'] required_matrices = ['cellular_binary_grass'] def run(name, world, matrices, states, extra_life=10): y,x = states['position'] #if matrices['cellular_binary_grass'][int(y),int(x)]: # Eat the cell under the agent's position matrices['cellular_binary_grass'][int(y),int(x)] = False #endif

28.071429

60

0.679389

55

393

4.690909

0.581818

0.186047

0.255814

0.313953

0.271318

0

0.009063

0.157761

393

13

61

30.230769

0.770393

0.368957

0

0.239669

0.173554

0

1

0.2

false

0

0.2

0

null

0

1

0

null

0

2

0c72f04ff28b954d4764000ee8337335f12eb703

467

py

Python

mayan/apps/tags/tests.py

Dave360-crypto/mayan-edms

9cd37537461347f79ff0429e4b8b16fd2446798d

[ "Apache-2.0" ]

3

2020-02-03T11:58:51.000Z

2020-10-20T03:52:21.000Z

mayan/apps/tags/tests.py

Dave360-crypto/mayan-edms

9cd37537461347f79ff0429e4b8b16fd2446798d

[ "Apache-2.0" ]

null

mayan/apps/tags/tests.py

Dave360-crypto/mayan-edms

9cd37537461347f79ff0429e4b8b16fd2446798d

[ "Apache-2.0" ]

2

2020-10-24T11:10:06.000Z

2021-03-03T20:05:38.000Z

from django.test import TestCase from taggit.models import Tag from .literals import COLOR_RED from .models import TagProperties class TagTestCase(TestCase): def setUp(self): self.tag = Tag(name='test') self.tag.save() self.tp = TagProperties(tag=self.tag, color=COLOR_RED) self.tp.save() def runTest(self): self.failUnlessEqual(self.tag.name, 'test') self.failUnlessEqual(self.tp.get_color_code(), 'red')

24.578947

62

0.678801

62

467

5.048387

0.387097

0.089457

0.070288

0.095847

0

0.205567

467

18

63

25.944444

0.843666

0

0.023555

0

1

0.153846

false

0

0.307692

0

0.538462

0

null

0

null

0

1

0

1

0

2

0c895a8fc739cd8fc18b77e36465f0786dfca548

5,262

py

Python

YearbookRevampLibrary/AutoAlignerModule.py

RajatGupta02/YearbookRevampLibrary

6aab8d73c7261e68a0814ad24476adaedc67e6d5

[ "MIT" ]

null

YearbookRevampLibrary/AutoAlignerModule.py

RajatGupta02/YearbookRevampLibrary

6aab8d73c7261e68a0814ad24476adaedc67e6d5

[ "MIT" ]

null

YearbookRevampLibrary/AutoAlignerModule.py

RajatGupta02/YearbookRevampLibrary

6aab8d73c7261e68a0814ad24476adaedc67e6d5

[ "MIT" ]

4

2021-07-08T15:07:07.000Z

2021-08-17T11:51:17.000Z

import os import cv2 as cv import mediapipe as mp from YearbookRevampLibrary.utils import output_image_files, collect_image_files class AutoAligner(): def __init__(self): self.mp_drawing = mp.solutions.drawing_utils self.mp_pose = mp.solutions.pose self.mp_holistic = mp.solutions.holistic self.mp_face_detection = mp.solutions.face_detection def align_image(self, img, min_face_detection_confidence=0.5, min_pose_detection_confidence=0.5): """ :param img: image to align :param min_face_detection_confidence: confidence for face detection in the image :param min_pose_detection_confidence: confidence for pose detection in the image :return: aligned image """ with self.mp_pose.Pose(static_image_mode=True, model_complexity=2, min_detection_confidence=min_pose_detection_confidence) as pose: image = img image_height, image_width, _ = image.shape results = pose.process(cv.cvtColor(image, cv.COLOR_BGR2RGB)) if not results.pose_landmarks: i = 0 while (True): mp_face_detection = self.mp_face_detection with mp_face_detection.FaceDetection(model_selection=1, min_detection_confidence=min_face_detection_confidence) as face_detection: if i == 4: return image results2 = face_detection.process(cv.cvtColor(image, cv.COLOR_BGR2RGB)) if not results2.detections: i += 1 image = cv.rotate(image, rotateCode=0) continue return image n = results.pose_landmarks.landmark[self.mp_holistic.PoseLandmark.NOSE].y r = results.pose_landmarks.landmark[self.mp_holistic.PoseLandmark.RIGHT_SHOULDER].y l = results.pose_landmarks.landmark[self.mp_holistic.PoseLandmark.LEFT_SHOULDER].y if n < r and n < l: pass elif n > r and n > l: image = cv.rotate(image, rotateCode=1) elif n < r and n > l: image = cv.rotate(image, rotateCode=0) else: image = cv.rotate(image, rotateCode=2) return image def auto_align(cv2_list = None, input_path = None, output_path = None, min_face_detection_confidence=0.5, min_pose_detection_confidence=0.5): """ :param cv2_list: list of cv2 objects to be aligned :param input_path: path of the folder containing images :param output_path: path of the folder to save aligned images :param min_face_detection_confidence: confidence for face detection in the image :param min_pose_detection_confidence: confidence for pose detection in the image :return: list of aligned cv2 objects """ images, filenames = collect_image_files(cv2_list, input_path) # makeFolder(output_file) path = output_path refined_images = [] mp_drawing = mp.solutions.drawing_utils mp_pose = mp.solutions.pose mp_holistic = mp.solutions.holistic with mp_pose.Pose(static_image_mode=True, model_complexity=2, min_detection_confidence=min_pose_detection_confidence) as pose: for idx, file in enumerate(images): image = images[idx] image_height, image_width, _ = image.shape results = pose.process(cv.cvtColor(image, cv.COLOR_BGR2RGB)) if not results.pose_landmarks: i = 0 while (True): mp_face_detection = mp.solutions.face_detection with mp_face_detection.FaceDetection(model_selection=1, min_detection_confidence=min_face_detection_confidence) as face_detection: if i == 4: refined_images.append(image) break results2 = face_detection.process(cv.cvtColor(image, cv.COLOR_BGR2RGB)) if not results2.detections: i += 1 image = cv.rotate(image, rotateCode=0) continue refined_images.append(image) break continue n = results.pose_landmarks.landmark[mp_holistic.PoseLandmark.NOSE].y r = results.pose_landmarks.landmark[mp_holistic.PoseLandmark.RIGHT_SHOULDER].y l = results.pose_landmarks.landmark[mp_holistic.PoseLandmark.LEFT_SHOULDER].y if n < r and n < l: pass elif n > r and n > l: image = cv.rotate(image, rotateCode=1) elif n < r and n > l: image = cv.rotate(image, rotateCode=0) else: image = cv.rotate(image, rotateCode=2) refined_images.append(image) output = output_image_files(refined_images, output_path, filenames) return output

38.977778

141

0.586659

595

5,262

4.956303

0.169748

0.088165

0.054256

0.04883

0.777891

0.710749

0.689047

0.662597

0.649034

0

0.011638

0.346826

5,262

134

142

39.268657

0.846378

0.115165

0

0.616279

0

1

0.034884

false

0.023256

0.046512

0

0.139535

0

null

0

1

0

1

0

null

0

2

0c8ac64d866c0e6106456721744f44d26d3a7ac0

840

py

Python

setup.py

sellerzoncom/wmapi

425affc400c9ced1ac563ab030f39fec69e71b3d

[ "MIT" ]

1

2021-02-13T14:17:56.000Z

setup.py

sellerzoncom/wmapi

425affc400c9ced1ac563ab030f39fec69e71b3d

[ "MIT" ]

null

setup.py

sellerzoncom/wmapi

425affc400c9ced1ac563ab030f39fec69e71b3d

[ "MIT" ]

2

2021-03-16T01:23:13.000Z

2021-03-29T16:58:40.000Z

import setuptools requirements = [ 'xmltodict', 'requests', ] setuptools.setup( name="wmapi", version="0.1", url="https://github.com/sellerzoncom/wmapi", author="SellerZon", author_email="dev@sellerzon.com", description="Python Client for Walmart Canada Marketplace API", long_description=open('README.md').read(), long_description_content_type = 'text/markdown', packages=setuptools.find_packages(), install_requires=requirements, classifiers=[ 'Development Status :: 2 - Pre-Alpha', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', ], )

28

67

0.635714

84

840

6.27381

0.630952

0.216319

0.28463

0.148008

0

0.016794

0.220238

840

29

68

28.965517

0.787786

0

0.480952

0

1

0

false

0

0.038462

0

0.038462

0

null

1

0

null

0

2

0c8db78eb5c47006aa011b99a0d3db3b82628a09

638

py

Python

app/portfolio/migrations/0007_auto_20210224_0644.py

Arusey/Porfolio-website

cb95a17c44eb45f5e564b395ab2c73940eba27cc

[ "MIT" ]

null

app/portfolio/migrations/0007_auto_20210224_0644.py

Arusey/Porfolio-website

cb95a17c44eb45f5e564b395ab2c73940eba27cc

[ "MIT" ]

1

2021-04-30T09:21:32.000Z

app/portfolio/migrations/0007_auto_20210224_0644.py

Arusey/Porfolio-website

cb95a17c44eb45f5e564b395ab2c73940eba27cc

[ "MIT" ]

null

# Generated by Django 3.1.7 on 2021-02-24 06:44 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('portfolio', '0006_client'), ] operations = [ migrations.RemoveField( model_name='client', name='icon', ), migrations.RemoveField( model_name='client', name='projects', ), migrations.AddField( model_name='client', name='projects', field=models.ManyToManyField(related_name='portfolio_client_related', to='portfolio.Project'), ), ]

23.62963

106

0.568966

59

638

6.033898

0.59322

0.075843

0.126404

0.160112

0.323034

0.224719

0

0.043379

0.31348

638

26

107

24.538462

0.769406

0.070533

0

0.5

1

0

0.167513

0.040609

0

1

0

false

0

0.05

0

0.2

0

null

0

1

0

1

0

null

0

2

0c9b6ebbf189a3dd4aac5a57cc271ee9dc38373d

546

py

Python

matador/workflows/castep/__init__.py

dquigley-warwick/matador

729e97efb0865c4fff50af87555730ff4b7b6d91

[ "MIT" ]

24

2020-01-21T21:40:44.000Z

2022-03-23T13:37:18.000Z

matador/workflows/castep/__init__.py

dquigley-warwick/matador

729e97efb0865c4fff50af87555730ff4b7b6d91

[ "MIT" ]

234

2020-02-03T15:56:58.000Z

2022-03-29T21:36:45.000Z

matador/workflows/castep/__init__.py

dquigley-warwick/matador

729e97efb0865c4fff50af87555730ff4b7b6d91

[ "MIT" ]

15

2019-11-29T11:33:32.000Z

2021-11-02T09:14:08.000Z

# coding: utf-8 # Distributed under the terms of the MIT License. """ The workflows.castep submodule contains any workflows that rely on CASTEP-specific implementation, for example electronic spectropscopy or phonons. """ __all__ = ('castep_full_phonon', 'castep_full_spectral', 'castep_elastic', 'castep_full_magres') __author__ = 'Matthew Evans' __maintainer__ = 'Matthew Evans' from .phonons import castep_full_phonon from .spectral import castep_full_spectral from .elastic import castep_elastic from .magres import castep_full_magres

27.3

96

0.804029

71

546

5.816901

0.535211

0.145278

0.116223

0

0.002092

0.124542

546

19

97

28.736842

0.861925

0.384615

0

0.294479

0

1

0

false

0

0.571429

0

0.571429

0

null

0

null

0

1

0

1

0

2

0ca16a0c9dd9af06f3688c14d65ba7f0dc160b24

503

py

Python

django/wagteil_template/irk_ru/home/models.py

Netromnik/python

630a9df63b1cade9af38de07bb9cd0c3b8694c93

[ "Apache-2.0" ]

null

django/wagteil_template/irk_ru/home/models.py

Netromnik/python

630a9df63b1cade9af38de07bb9cd0c3b8694c93

[ "Apache-2.0" ]

null

django/wagteil_template/irk_ru/home/models.py

Netromnik/python

630a9df63b1cade9af38de07bb9cd0c3b8694c93

[ "Apache-2.0" ]

null

from main.models import AbstractArticlePage from taggit.models import TaggedItemBase from modelcluster.fields import ParentalKey from modelcluster.contrib.taggit import ClusterTaggableManager from django.db import models class BlogPanelTag(TaggedItemBase): content_object = ParentalKey( 'ArticleEx', related_name='tagged_items2', on_delete=models.CASCADE, ) class ArticleEx(AbstractArticlePage): tags = ClusterTaggableManager(through='BlogPanelTag', blank=True)

26.473684

69

0.7833

50

503

7.8

0.6

0.061538

0

0.002342

0.151093

503

18

70

27.944444

0.911007

0

0.067594

0

1

0

false

0

0.384615

0

0.692308

0

null

0

null

0

1

0

1

0

2

0ca5fd09db17d3dbac365bf9ccbb4338902eb460

731

py

Python

tests/test_subtract.py

josemolinagarcia/maya-math-nodes

1f83eef1d1efe0b0c3dbb1477ca31ed9f8911ee4

[ "MIT" ]

148

2018-01-12T20:30:45.000Z

2022-02-28T05:20:46.000Z

tests/test_subtract.py

josemolinagarcia/maya-math-nodes

1f83eef1d1efe0b0c3dbb1477ca31ed9f8911ee4

[ "MIT" ]

13

2018-01-17T18:02:13.000Z

2021-11-23T06:06:24.000Z

tests/test_subtract.py

josemolinagarcia/maya-math-nodes

1f83eef1d1efe0b0c3dbb1477ca31ed9f8911ee4

[ "MIT" ]

41

2018-01-16T01:41:29.000Z

2021-08-24T01:27:56.000Z

# Copyright (c) 2018 Serguei Kalentchouk et al. All rights reserved. # Use of this source code is governed by an MIT license that can be found in the LICENSE file. from node_test_case import NodeTestCase class TestSubtract(NodeTestCase): def test_subtract(self): self.create_node('Subtract', {'input1': 10.0, 'input2': 5.0}, 5.0) def test_subtract_int(self): self.create_node('SubtractInt', {'input1': 10, 'input2': 5}, 5) def test_subtract_angle(self): self.create_node('SubtractAngle', {'input1': 10.0, 'input2': 5.0}, 5.0) def test_subtract_vector(self): self.create_node('SubtractVector', {'input1': [5.0, 5.0, 5.0], 'input2': [2.0, 2.0, 2.0]}, [3.0, 3.0, 3.0])

40.611111

115

0.653899

114

731

4.078947

0.464912

0.030108

0.129032

0.154839

0.16129

0.146237

0

0.081218

0.191518

731

17

116

43

0.705584

0.21751

0

0.165202

0

1

0.4

false

0

0.1

0

0.6

0

null

0

null

0

1

0

1

0

2

0ca72bc6032bcb0c5108e5052489228973ea6cef

513

py

Python

tools_box/_account/doctype/asset_transfer_form/asset_transfer_form.py

maisonarmani/Tools_Box

4f8cc3a0deac1be50a3ac80758a10608faf58454

[ "MIT" ]

4

2017-09-25T23:34:08.000Z

2020-07-17T23:52:26.000Z

tools_box/_account/doctype/asset_transfer_form/asset_transfer_form.py

maisonarmani/Tools_Box

4f8cc3a0deac1be50a3ac80758a10608faf58454

[ "MIT" ]

null

tools_box/_account/doctype/asset_transfer_form/asset_transfer_form.py

maisonarmani/Tools_Box

4f8cc3a0deac1be50a3ac80758a10608faf58454

[ "MIT" ]

5

2017-06-02T01:58:32.000Z

2022-02-22T16:59:01.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2017, masonarmani38@gmail.com and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe.model.document import Document from datetime import datetime class AssetTransferForm(Document): def validate(self): if self.status == "Returned": self.returned_date = datetime.now() if self.workflow_state == "Approved" and not self.approved_by: frappe.throw("Please indicate the approver.")

24.428571

64

0.758285

66

513

5.772727

0.681818

0.031496

0

0.015945

0.14425

513

20

65

25.65

0.851936

0.253411

0

0.119681

0

1

0.1

false

0

0.4

0

0.6

0

null

0

null

0

1

0

1

0

2

0cb1548ba94fbf6f522c608cd56db0adc3c530b5

3,317

py

Python

QueroInternetWeb/main/models.py

quero-internet/quero-internet-web

95f1763ecb587dcb6d09c0cd3c15c29f837ced90

[ "MIT" ]

null

QueroInternetWeb/main/models.py

quero-internet/quero-internet-web

95f1763ecb587dcb6d09c0cd3c15c29f837ced90

[ "MIT" ]

2

2019-08-06T01:04:37.000Z

2019-08-27T00:26:32.000Z

QueroInternetWeb/main/models.py

quero-internet/quero-internet-web

95f1763ecb587dcb6d09c0cd3c15c29f837ced90

[ "MIT" ]

null

from django.db import models from django.contrib.auth.models import User from django import forms # Create your models here. class Parceiro(models.Model): class Meta: verbose_name = "Parceiro" verbose_name_plural = "Parceiros" razao_social = models.CharField(max_length=80, verbose_name="Razão social") nome_fantasia = models.CharField(max_length=80) cnpj = models.CharField(max_length=14, verbose_name="CNPJ") inscricao_estadual = models.CharField(max_length=14, verbose_name="Inscrição estadual") contato = models.CharField(max_length=60) usuario = models.OneToOneField(User, on_delete=models.PROTECT) inativo = models.BooleanField(verbose_name="Inativo", default=False) def __str__(self): return self.razao_social class TipoAcesso(models.Model): class Meta: verbose_name = "Tipo de acesso" verbose_name_plural = "Tipos de acesso" nome = models.CharField(max_length=60) def __str__(self): return self.nome class PlanoInternet(models.Model): class Meta: verbose_name = "Plano de Internet" verbose_name_plural = "Plano de Internet" nome = models.CharField(max_length=60) def __str__(self): return self.nome class VelocidadeInternet(models.Model): class Meta: verbose_name = "Velocidade de Internet" verbose_name_plural = "Velocidades de Internet" nome = models.CharField(max_length=60) def __str__(self): return self.nome class Solicitacao(models.Model): class Meta: verbose_name = "Solicitação" verbose_name_plural = "Solicitações" tipo_acesso = models.ForeignKey(TipoAcesso, on_delete=models.PROTECT, verbose_name="Tipo de acesso") cep = models.CharField(max_length=9, verbose_name="CEP") logradouro = models.CharField(max_length=60) numero = models.CharField(max_length=10, verbose_name="Número") complemento = models.CharField(max_length=60, null=True, blank=True) bairro = models.CharField(max_length=60) cidade = models.CharField(max_length=60) uf = models.CharField(max_length=2, verbose_name="UF") planos_internet = models.ManyToManyField(PlanoInternet, verbose_name="Planos de internet") velocidades_internet = models.ManyToManyField(VelocidadeInternet, verbose_name="Velocidades de internet") usuario = models.ForeignKey(User, on_delete=models.PROTECT) data_e_hora = models.DateTimeField(auto_now_add=True) observacoes = models.CharField(verbose_name="Observações",max_length=300, blank=True, null=True) parceiro_escolhido = models.ForeignKey(Parceiro, on_delete=models.PROTECT, null=True) def __str__(self): return "Solicitação "+ str(self.pk) class Resposta(models.Model): class Meta: verbose_name = "Resposta" verbose_name_plural = "Respostas" resposta = models.CharField(max_length=300) valor_implantacao = models.DecimalField(max_digits=10,decimal_places=2, verbose_name="Valor de implantação",null=True) valor_mensalidade = models.DecimalField(max_digits=10, decimal_places=2, verbose_name="Valor de mensalidade", null=True) usuario = models.ForeignKey(User, on_delete=models.PROTECT) solicitacao = models.ForeignKey(Solicitacao, on_delete=models.PROTECT, related_name='respostas')

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0cb39f065896866631dd8be1b77c8ff752a7e442

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py

Python

src/nr/util/digraph/__init__.py

NiklasRosenstein/python-nr.util

087f2410d38006c1005a5fb330c47a56bcdb2279

[ "MIT" ]

null

src/nr/util/digraph/__init__.py

NiklasRosenstein/python-nr.util

087f2410d38006c1005a5fb330c47a56bcdb2279

[ "MIT" ]

3

2022-02-16T13:17:28.000Z

2022-03-14T15:28:41.000Z

src/nr/util/digraph/__init__.py

NiklasRosenstein/python-nr.util

087f2410d38006c1005a5fb330c47a56bcdb2279

[ "MIT" ]

null

from ._digraph import DiGraph, E, K, N, UnknownEdgeError, UnknownNodeError __all__ = [ 'remove_with_predecessors', 'topological_sort', 'DiGraph', 'UnknownEdgeError', 'UnknownNodeError', ]

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17,147

py

Python

tests/test_mfrm.py

sash-ko/PyRM

e06ac8c44ec30cb7e731a4653dabc7f0ca0b6ec7

[ "MIT" ]

31

2017-02-08T15:23:20.000Z

2022-01-21T02:31:07.000Z

tests/test_mfrm.py

sash-ko/PyRM

e06ac8c44ec30cb7e731a4653dabc7f0ca0b6ec7

[ "MIT" ]

7

2017-02-08T15:38:32.000Z

2019-08-26T20:24:34.000Z

tests/test_mfrm.py

sash-ko/PyRM

e06ac8c44ec30cb7e731a4653dabc7f0ca0b6ec7

[ "MIT" ]

19

2017-02-08T15:23:47.000Z

2022-03-03T10:06:25.000Z

import unittest from revpy import mfrm from revpy.exceptions import InvalidInputParameters class MFRMTestHost(unittest.TestCase): def test_empty_estimate_host_level(self): estimations = mfrm.estimate_host_level({}, {}, {}, 0.9) self.assertEqual(estimations, (0, 0, 0)) def test_estimate_paper_ex1(self): """This test is based on the exaple #1 in the paper""" utilities = {'fare1': -2.8564, 'fare2': -2.5684} probs, nofly_prob = mfrm.selection_probs(utilities, 0.5) estimations = mfrm.estimate_host_level({'fare1': 3, 'fare2': 0}, {'fare1': 1, 'fare2': 0.}, probs, nofly_prob) self.assertIsInstance(estimations, tuple) self.assertEqual(len(estimations), 3) # round numbers estimations = round_tuple(estimations) self.assertTupleEqual(estimations, (5, 2.86, 0.86)) def test_demand_mass_balance_h(self): estimations = mfrm.demand_mass_balance_c(3, 3, 1, 0.86) self.assertTupleEqual(round_tuple(estimations), (2.14, 0., 0.86)) def test_invalid_parameters(self): """Should not rise any exception """ mfrm.estimate_host_level({'fare2': 3}, {'fare2': 1.}, {'fare1': 0.1, 'fare2': 0.4}, 0.5) class MFRMTestClass(unittest.TestCase): def test_empty_estimate_class_level(self): estimations = mfrm.estimate_class_level({}, {}, {}, 0.9) self.assertEqual(estimations, {}) def test_demand_mass_balance_c_ex1(self): estimations = mfrm.demand_mass_balance_c(3, 3, 1, 0.86) self.assertIsInstance(estimations, tuple) self.assertEqual(len(estimations), 3) self.assertTupleEqual(round_tuple(estimations), (2.14, 0., 0.86)) def test_demand_mass_balance_c_ex2_a11(self): estimations = mfrm.demand_mass_balance_c(3, 0., 0.1, 0.61) self.assertTupleEqual(round_tuple(estimations), (0, 0, 0)) def test_demand_mass_balance_c_ex2_a21(self): estimations = mfrm.demand_mass_balance_c(3, 2, 1, 0.61) self.assertTupleEqual(round_tuple(estimations), (1.59, 0, 0.41)) def test_estimate_class_level_struct(self): utilities = {'fare1': -2.8564, 'fare2': -2.5684} probs, nofly_prob = mfrm.selection_probs(utilities, 0.5) estimations = mfrm.estimate_class_level({'fare1': 3, 'fare2': 0}, {'fare1': 1, 'fare2': 0.}, probs, nofly_prob) self.assertIsInstance(estimations, dict) self.assertEqual(len(estimations), 2) self.assertEqual(sorted(estimations.keys()), ['fare1', 'fare2']) self.assertEqual(sorted(estimations['fare1'].keys()), ['demand', 'recapture', 'spill']) def test_estimate_class_level_ex1(self): utilities = {'fare1': -2.8564, 'fare2': -2.5684} probs, nofly_prob = mfrm.selection_probs(utilities, 0.5) estimations = mfrm.estimate_class_level({'fare1': 3, 'fare2': 0}, {'fare1': 1, 'fare2': 0.}, probs, nofly_prob) self.assertAlmostEqual(estimations['fare1']['spill'], 0, places=2) self.assertAlmostEqual(estimations['fare1']['recapture'], 0.86, 2) self.assertAlmostEqual(estimations['fare1']['demand'], 2.14, 2) self.assertAlmostEqual(estimations['fare2']['spill'], 2.86, places=2) self.assertAlmostEqual(estimations['fare2']['recapture'], 0, 2) self.assertAlmostEqual(estimations['fare2']['demand'], 2.86, 2) def test_invalid_parameters(self): """Should not rise any exception """ mfrm.estimate_class_level({'fare2': 3}, {'fare2': 1.}, {'fare1': 0.1, 'fare2': 0.4}, 0.5) def test_non_zero_demand_zero_availability(self): with self.assertRaises(InvalidInputParameters): mfrm.estimate_class_level({'fare1': 3, 'fare2': 1}, {'fare2': 1.}, {'fare1': 0.1, 'fare2': 0.4}, 0.5) def test_estimate_class_level_ex3(self): """Example 3 from MFRM paper""" probs = { 'a11': 0.0256, 'a12': 0.0513, 'a13': 0.0769, 'a21': 0.041, 'a22': 0.0615, 'a23': 0.0821, 'a31': 0.0154, 'a32': 0.0205, 'a33': 0.0256 } observed = { 'a11': 2, 'a12': 5, 'a13': 0, 'a21': 4, 'a22': 0, 'a23': 0, 'a31': 0, 'a32': 3, 'a33': 6 } availability = { 'a11': 1, 'a12': 1, 'a13': 0.25, 'a21': 1, 'a22': 0.5, 'a23': 0, 'a31': 1, 'a32': 1, 'a33': 0.5 } nofly_prob = 0.6 host_estimations = mfrm.estimate_host_level(observed, availability, probs, nofly_prob) estimations = round_tuple(host_estimations) self.assertTupleEqual(estimations, (30.16, 13.83, 3.67)) class_estimations = mfrm.estimate_class_level(observed, availability, probs, nofly_prob) # ensure that class demand, spill and recapture in total # equals host level estimations total_class = sum([v['demand'] for v in class_estimations.values()]) self.assertAlmostEqual(total_class, host_estimations[0], 2) total_class = sum([v['spill'] for v in class_estimations.values()]) self.assertAlmostEqual(total_class, host_estimations[1], 2) total_class = sum([v['recapture'] for v in class_estimations.values()]) self.assertAlmostEqual(total_class, host_estimations[2], 2) expected = { 'a11': {'demand': 1.63, 'spill': 0, 'recapture': 0.37}, 'a12': {'demand': 4.08, 'spill': 0, 'recapture': 0.92}, # 'a13': {'demand': 4.35, 'spill': 4.35, 'recapture': 0.}, 'a13': {'demand': 3.02, 'spill': 3.02, 'recapture': 0.}, 'a21': {'demand': 3.27, 'spill': 0, 'recapture': 0.73}, # 'a22': {'demand': 2.32, 'spill': 2.32, 'recapture': 0.}, 'a22': {'demand': 1.61, 'spill': 1.61, 'recapture': 0.}, # 'a23': {'demand': 6.19, 'spill': 6.19, 'recapture': 0.}, 'a23': {'demand': 4.3, 'spill': 4.3, 'recapture': 0.}, 'a31': {'demand': 0, 'spill': 0, 'recapture': 0.}, 'a32': {'demand': 2.45, 'spill': 0, 'recapture': 0.55}, # NOTE: this example case is different from the paper. Somehow # it doesn't satisfy (14): s = d*k, k33 = 0.5 ... # It also affects a13, a22, a23 that have 0 bookings and # calibrated according to the unaccounted spill # 'a33': {'demand': 5.87, 'spill': 0.97, 'recapture': 1.1}, 'a33': {'demand': 9.798, 'spill': 4.899, 'recapture': 1.1} } for element, values in expected.items(): for key, value in values.items(): self.assertAlmostEqual( class_estimations[element][key], value, 2) def test_estimate_class_level_regression_1(self): utilities = { '29255588_3950': 1.4659572, '27330948_3950': 2.16431, '29255588_2490': 1.1630461, '29255578_2990': 1.3300509, '29255508_3950': 0.43902999, '29255578_3590': 0.83872116, '29255578_3950': 0.70265454, '29255528_3590': 0.52609205, '29255518_3590': 0.52609205, '30920848_3950': -0.19642138, '27331928_3950': 0.096954226, '27337358_3590': 0.52609205, '27334478_3590': -0.12226862, '29255548_3950': 1.4128097, '29255558_3590': 0.2330209, '29255588_2990': 0.99219722, '29255538_3590': 0.76555932, '27341178_3590': 0.61577702, '29255548_3590': 1.3927615, '29255558_2990': 0.72435057 } observed = { '29255588_3950': 3, '27330948_3950': 1, '29255578_2990': 7, '27331928_2450': 1, '27331928_3200': 4, # missing in 'utilities' '27331928_2490': 1, '29255588_3018': 1, '29255588_2490': 6, '29255518_3950': 1, '29255578_3018': 1, '27331928_3950': 2, '29255578_3950': 3, '29255548_3950': 2, '29255588_2518': 1, '29255538_3590': 1, '29255578_3590': 1, '29255588_2241': 1 } availability = { '29255588_3950': 0.650909090909091, '27330948_3950': 0.634146341463415, '29255578_2990': 0.1875, '27331928_2450': 0.00436681222707424, '30920848_3950': 0.5, '29255538_3950': 0.0411764705882353, '29255528_3590': 0.796875, '29255518_3950': 0.032967032967033, '29255588_3590': 0.0254545454545455, '29255518_3590': 0.648351648351648, '29255558_3950': 0.00436681222707424, '27334478_3590': 0.753246753246753, '27334478_3950': 0.0779220779220779, '29255528_3950': 0.0703125, '29255548_3950': 0.521951219512195, '29255558_3590': 0.148471615720524, '29255578_3018': 0.00436681222707424, '27331928_2490': 0.00436681222707424, '29255548_3590': 0.268292682926829, '29255588_2241': 0.00436681222707424, '29255508_3950': 0.714285714285714, '27331928_3200': 0.00436681222707424, '29255588_2518': 0.00436681222707424, '29255588_3018': 0.00436681222707424, '29255588_2490': 0.0872727272727273, '27331928_3950': 0.370517928286853, '27337358_3590': 0.774193548387097, '29255578_3950': 0.213235294117647, '29255578_3590': 0.132352941176471, '29255588_2990': 0.236363636363636, '29255538_3590': 0.911764705882353, '27341178_3590': 0.971428571428571, '29255558_2990': 0.152838427947598 } probs, nofly_prob = mfrm.selection_probs(utilities, 0.7) class_level = mfrm.estimate_class_level(observed, availability, probs, nofly_prob) # no utility self.assertTrue('27331928_2490' not in class_level) # low utility and no observed demand self.assertEqual(class_level['27334478_3590'], {'demand': 0, 'spill': 0, 'recapture': 0}) # one observation and low utility self.assertLess(class_level['29255538_3590']['demand'], observed['29255538_3590']) self.assertLess(class_level['29255538_3590']['spill'], 0.1) # high utility, many bookings, low availability self.assertGreater(class_level['29255578_2990']['demand'], observed['29255578_2990']) self.assertGreater(class_level['29255578_2990']['spill'], observed['29255578_2990']) # moderate utility, many bookings, moderate availability self.assertGreater(class_level['29255578_3950']['demand'], observed['29255578_3950']) def test_estimate_class_level_regression_2(self): utilities = { '25169088_1990': -0.32789022, '25177238_2490': 0.74647802, '30920878_3590': 1.1093128, '30921208_3590': -0.95266426, '25176068_2990': 0.60245919, '27334408_3590': 1.3004869, '27336048_2490': -0.72204816, '25176068_2490': 1.1348069, '27330978_3950': -0.95266426, '27331818_2490': 1.1348069, '25174968_2990': -0.95266426, '27331818_3590': 0.60245919, '25172878_2990': 1.3004869, '27330978_3590': -0.95266426, '25174968_3590': -0.95266426, '27334408_3950': 1.3004869, '30920428_2490': -0.72204816, '27331818_2990': 0.60245919, '25168168_1990': -0.86685419, '25168168_3590': 0.028352857, '25177238_2990': 0.37813818, '25170958_1990': 0.43109083, '25178118_1500': 1.557166, '25172878_3590': 1.3004869, '25173528_2990': -0.86880505, '25173528_2490': 0.77468485, '27332988_2990': 0.59399945, '25168168_2490': -0.72204816, '25170958_2490': 0.5758968, '27332988_2490': -0.18308425, '25168168_2990': 0.028352857} observed = { '25169088_1990': 2, '25177238_2490': 5, '25176068_2990': 1, '25177238_2990': 1, '25170958_1990': 7, '25176068_2490': 5, '25168168_1990': 1, '25174968_2990': 2, '25173528_2990': 2, '25173528_2490': 1, '25172878_2990': 3, '25168168_2490': 3, '25170958_2490': 3, '25178118_1500': 5} availability = { '25177238_2490': 0.954545454545455, '25169088_1990': 1.0, '30920878_3590': 1.0, '30921208_3590': 1.0, '25176068_2990': 0.272727272727273, '27334408_3590': 0.409090909090909, '27334408_3950': 0.590909090909091, '25176068_2490': 0.909090909090909, '27331818_2990': 0.363636363636364, '27331818_2490': 0.590909090909091, '25172878_3590': 0.136363636363636, '27331818_3590': 0.136363636363636, '25172878_2990': 0.909090909090909, '27330978_3590': 0.454545454545455, '25174968_3590': 0.0454545454545455, '27336048_2490': 1.0, '30920428_2490': 1.0, '27330978_3950': 0.590909090909091, '25168168_1990': 0.727272727272727, '25168168_3590': 0.0454545454545455, '25177238_2990': 0.0909090909090909, '25170958_1990': 0.590909090909091, '25178118_1500': 1.0, '25174968_2990': 1.0, '25173528_2990': 0.590909090909091, '25173528_2490': 0.5, '27332988_2990': 0.545454545454545, '25168168_2490': 0.454545454545455, '25170958_2490': 0.454545454545455, '27332988_2490': 0.681818181818182, '25168168_2990': 0.0454545454545455 } probs, nofly_prob = mfrm.selection_probs(utilities, 0.7) class_level = mfrm.estimate_class_level(observed, availability, probs, nofly_prob) self.assertEqual(class_level['25168168_2990'], {'demand': 0, 'spill': 0, 'recapture': 0}) total_demand = sum([round(d['demand']) for d in class_level.values()]) self.assertEqual(total_demand, 50) total_demand = sum([round(d['spill']) for d in class_level.values()]) self.assertEqual(total_demand, 20) def test_calibrate_no_booking_balance(self): estimates = { 'p1': {'demand': 0, 'spill': 0}, 'p2': {'demand': 0, 'spill': 0}, 'p3': {'demand': 0, 'spill': 0} } observed = {} probs = { 'p1': 0.3, 'p2': 0.3, 'p3': 0.1 } host_spill = 10 availability = {} result = mfrm.calibrate_no_booking(estimates, observed, availability, probs, host_spill) self.assertAlmostEqual(sum([r['demand'] for r in result.values()]), host_spill) self.assertAlmostEqual(sum([r['spill'] for r in result.values()]), host_spill) self.assertEqual(result['p1']['demand'], result['p2']['demand']) self.assertGreater(result['p1']['demand'], result['p3']['demand']) availability = {'p1': 0.5, 'p2': 0.1} result = mfrm.calibrate_no_booking(estimates, observed, availability, probs, host_spill) self.assertGreater(result['p2']['demand'], result['p1']['demand']) availability = {'p1': 0.5} result = mfrm.calibrate_no_booking(estimates, observed, availability, probs, host_spill) self.assertGreater(result['p2']['demand'], result['p1']['demand']) def round_tuple(tlp, level=2): return tuple([round(e, level) for e in tlp])

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0cc84d528b6f7e7c273b598df4a5d72c2b59c6a2

65

py

Python

pygifsicle/__version__.py

LucaCappelletti94/pygifsicle

4f05d0eead3b002295212d985fdbc9ca8e7f4a8f

[ "MIT" ]

42

2019-10-14T11:30:53.000Z

2022-03-28T06:55:20.000Z

pygifsicle/__version__.py

LucaCappelletti94/pygifsicle

4f05d0eead3b002295212d985fdbc9ca8e7f4a8f

[ "MIT" ]

8

2019-10-13T02:54:19.000Z

2021-10-02T17:47:40.000Z

pygifsicle/__version__.py

LucaCappelletti94/pygifsicle

4f05d0eead3b002295212d985fdbc9ca8e7f4a8f

[ "MIT" ]

8

2019-09-23T18:59:39.000Z

2022-02-25T22:38:44.000Z

"""Current version of package pygifsicle""" __version__ = "1.0.5"

32.5

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0cda10958b477ed3c5be001bc520bcbf5e7285c1

1,498

py

Python

elit/server/format.py

emorynlp/el

dbe73d1ce6f2296a64fb013775d2691ae1ed90d4

[ "Apache-2.0" ]

40

2017-02-27T20:16:44.000Z

2022-03-25T04:58:01.000Z

elit/server/format.py

emorynlp/el

dbe73d1ce6f2296a64fb013775d2691ae1ed90d4

[ "Apache-2.0" ]

12

2017-02-16T23:50:38.000Z

2022-01-19T21:29:59.000Z

elit/server/format.py

emorynlp/el

dbe73d1ce6f2296a64fb013775d2691ae1ed90d4

[ "Apache-2.0" ]

6

2017-05-05T08:02:18.000Z

2021-11-03T23:47:23.000Z

# ======================================================================== # Copyright 2020 Emory University # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ======================================================================== # -*- coding:utf-8 -*- # Author: hankcs, Liyan Xu from typing import Union, List, Tuple from pydantic import BaseModel class OnlineCorefContext(BaseModel): input_ids: List[int] sentence_map: List[int] subtoken_map: List[int] mentions: List[Tuple[int, int]] uttr_start_idx: List[int] speaker_ids: List[int] = None # Others are required class Input(BaseModel): text: Union[str, List[str]] = None tokens: List[List[str]] = None models: List[str] = ["lem", "pos", "ner", "con", "dep", "srl", "amr", "dcr", "ocr"] # For coref speaker_ids: Union[int, List[int]] = None genre: str = None coref_context: OnlineCorefContext = None return_coref_prob: bool = False language: str = 'en' verbose: bool = True

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null

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1

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1

0

2

0ce0463103b7536d8cc17a2c0d1d9d5a5782341d

993

py

Python

jobsapp/fields.py

GeeksCAT/anem-per-feina

9c4fe400b8721adee88ab669cc074ffc16beca8a

[ "MIT" ]

19

2020-09-29T15:22:12.000Z

2020-10-19T17:19:44.000Z

jobsapp/fields.py

GeeksCAT/anem-per-feina

9c4fe400b8721adee88ab669cc074ffc16beca8a

[ "MIT" ]

162

2020-09-29T09:09:53.000Z

2020-11-06T04:32:12.000Z

jobsapp/fields.py

GeeksCAT/anem-per-feina

9c4fe400b8721adee88ab669cc074ffc16beca8a

[ "MIT" ]

28

2020-09-29T14:32:53.000Z

2020-11-02T21:52:39.000Z

from django_bleach.models import BleachField from tinymce.models import HTMLField from django.conf import settings from django.core.validators import URLValidator from django.db.models import URLField from django.forms.fields import URLField as FormURLField ################ # JobsURLField # ################ JobsURLValidator = URLValidator(schemes=settings.URL_SCHEMES) class JobsURLFormField(FormURLField): """Form URLField with custom SCHEMES from settings.URL_SCHEMES""" default_validators = [JobsURLValidator] class JobsURLField(URLField): """URLField with custom SCHEMES from settings.URL_SCHEMES""" default_validators = [JobsURLValidator] def formfield(self, **kwargs): return super().formfield( **{ "form_class": JobsURLFormField, } ) ###################### # SanitizedHTMLField # ###################### class SanitizedHTMLField(HTMLField, BleachField): description = "Sanitized HTML field"

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null

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null

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1

0

2

0cf5f48dc7c851840939204c21bb9b38c6783e3a

25,119

py

Python

caffe2/python/tutorials/py_gen/Image_Pre-Processing_Pipeline.py

AIHGF/caffe2

b9e61b72cd460f4c9f644294a7bf0b6306df17fc

[ "Apache-2.0" ]

585

2015-08-10T02:48:52.000Z

2021-12-01T08:46:59.000Z

caffe2/python/tutorials/py_gen/Image_Pre-Processing_Pipeline.py

mingzhe09088/caffe2

8f41717c46d214aaf62b53e5b3b9b308b5b8db91

[ "Apache-2.0" ]

23

2015-08-30T11:54:51.000Z

2017-03-06T03:01:07.000Z

caffe2/python/tutorials/py_gen/Image_Pre-Processing_Pipeline.py

mingzhe09088/caffe2

8f41717c46d214aaf62b53e5b3b9b308b5b8db91

[ "Apache-2.0" ]

183

2015-08-10T02:49:04.000Z

2021-12-01T08:47:13.000Z

######################################################### # # DO NOT EDIT THIS FILE. IT IS GENERATED AUTOMATICALLY. # # PLEASE LOOK INTO THE README FOR MORE INFORMATION. # # ######################################################### # coding: utf-8 # # Image Loading and Preprocessing # # In this tutorial we're going to look at how we can load in images from a local file or a URL which you can then utilize in other tutorials or examples. Also, we're going to go in depth on the kinds of preprocessing that is necessary to utilize Caffe2 with images. # # #### Mac OSx Prerequisites # # If you don't already have these Python modules installed you'll need to do that now. # # ``` # sudo pip install scikit-image scipy matplotlib # ``` # In[1]: import skimage import skimage.io as io import skimage.transform import sys import numpy as np import math from matplotlib import pyplot import matplotlib.image as mpimg print("Required modules imported.") # ## Test an Image # # In the code block below use IMAGE_LOCATION to load what you would like to test. Just change the comment flags to go through each round of the Tutorial. In this way, you'll get to see what happens with a variety of image formats and some tips on how you might preprocess them. If you want to try your own image, drop it in the images folder or use a remote URL. When you pick a remote URL, make it easy on yourself and try to find a URL that points to a common image file type and extension versus some long identifier or query string which might just break this next step. # # ## Color Issues # # Keep in mind when you load images from smartphone cameras that you may run into color formatting issues. Below we show an example of how flipping between RGB and BGR can impact an image. This would obviously throw off detection in your model. Make sure the image data you're passing around is what you think it is! # # ### Caffe Uses BGR Order # # Due to legacy support of OpenCV in Caffe and how it handles images in Blue-Green-Red (BGR) order instead of the more commonly used Red-Green-Blue (RGB) order, Caffe2 also expects **BGR** order. In many ways this decision helps in the long run as you use different computer vision utilities and libraries, but it also can be the source of confusion. # In[2]: # You can load either local IMAGE_FILE or remote URL # For Round 1 of this tutorial, try a local image. IMAGE_LOCATION = 'images/cat.jpg' # For Round 2 of this tutorial, try a URL image with a flower: # IMAGE_LOCATION = "https://cdn.pixabay.com/photo/2015/02/10/21/28/flower-631765_1280.jpg" # IMAGE_LOCATION = "images/flower.jpg" # For Round 3 of this tutorial, try another URL image with lots of people: # IMAGE_LOCATION = "https://upload.wikimedia.org/wikipedia/commons/1/18/NASA_Astronaut_Group_15.jpg" # IMAGE_LOCATION = "images/astronauts.jpg" # For Round 4 of this tutorial, try a URL image with a portrait! # IMAGE_LOCATION = "https://upload.wikimedia.org/wikipedia/commons/9/9a/Ducreux1.jpg" # IMAGE_LOCATION = "images/Ducreux.jpg" img = skimage.img_as_float(skimage.io.imread(IMAGE_LOCATION)).astype(np.float32) # test color reading # show the original image pyplot.figure() pyplot.subplot(1,2,1) pyplot.imshow(img) pyplot.axis('on') pyplot.title('Original image = RGB') # show the image in BGR - just doing RGB->BGR temporarily for display imgBGR = img[:, :, (2, 1, 0)] #pyplot.figure() pyplot.subplot(1,2,2) pyplot.imshow(imgBGR) pyplot.axis('on') pyplot.title('OpenCV, Caffe2 = BGR') # As you can see in the example above, the difference in order is very important to keep in mind. In the code block below we'll be taking the image and converting to BGR order for Caffe to process it appropriately. # # But wait, there's more color fun... # # ### Caffe Prefers CHW Order # # Now what!? What's CHW, you ask? Well, there's also HWC! Both formats come up in image processing. # # - H: Height # - W: Width # - C: Channel (as in color) # # Digging even deeper into how image data can be stored is the memory allocation order. You might have noticed when we first loaded the image that we forced it through some interesting transformations. These were data transformations that let us play with the image as if it were a cube. What we see is on top of the cube, and manipulating the layers below can change what we view. We can tinker with it's underlying properties and as you saw above, swap colors quite easily. # # For GPU processing, which is what Caffe2 excels at, this order needs to be CHW. For CPU processing, this order is generally HWC. Essentially, you're going to want to use CHW and make sure that step is included in your image pipeline. Tweak RGB to be BGR, which is encapsulated as this "C" payload, then tweak HWC, the "C" being the very same colors you just switched around. # # You may ask why! And the reason points to cuDNN which is what helps accelerate processing on GPUs. It uses only CHW, and we'll sum it up by saying it is faster. # # Give these two transformations, you might think that's enough, but it isn't. We still need to resize and/or crop and potentially look at things like orientation (rotation) and mirroring. # # ## Rotation and Mirroring # # This topic is usually reserved for images that are coming from a smart phone. Phones, in general, take great pictures, but do a horrible job communicating how the image was taken and what orientation it should be in. Then there's the user who does everything under the sun with their phone's cameras, making them do things its designer never expected. Cameras - right, because there are often two cameras and these two cameras take different sized pictures in both pixel count and aspect ratio, and not only that, they sometimes take them mirrored, and they sometimes take them in portrait and landscape modes, and sometimes they don't bother to tell which mode they were in. # # In many ways this is the first thing you need to evaluate in your pipeline, then look at sizing (described below), then figure out the color situation. If you're developing for iOS, then you're in luck, it's going to be relatively easy. If you're a super-hacker wizard developer with lead-lined shorts and developing for Android, then at least you have lead-lined shorts. # # The variability in the Android marketplace is wonderful and horrifying. In an ideal world, you could rely on the EXIF data in pictures coming from any camera and use that to decide orientation and mirroring and you'd have one simple case function to handle your transformations. No such luck, but you're not alone. Many have come before you and suffered for you. # # ### Library for Handling Mobile Images # # Hooray! We're going to give you something to ease your pain. These are not full-proof. Users can and will defy you and every other developers' best attempts to handle their images. Here we'll link to some resources that can be used depending on the platform. # # Image Preprocessing Libraries and/or Snippits # - [iOS](#) # - [Android](#) # - [Python](#) # In the meantime though, let's play with some images and show the basics for manipulations that you might need to do. # In[3]: # Image came in sideways - it should be a portait image! # How you detect this depends on the platform # Could be a flag from the camera object # Could be in the EXIF data # ROTATED_IMAGE = "https://upload.wikimedia.org/wikipedia/commons/8/87/Cell_Phone_Tower_in_Ladakh_India_with_Buddhist_Prayer_Flags.jpg" ROTATED_IMAGE = "images/cell-tower.jpg" imgRotated = skimage.img_as_float(skimage.io.imread(ROTATED_IMAGE)).astype(np.float32) pyplot.figure() pyplot.imshow(imgRotated) pyplot.axis('on') pyplot.title('Rotated image') # Image came in flipped or mirrored - text is backwards! # Again detection depends on the platform # This one is intended to be read by drivers in their rear-view mirror # MIRROR_IMAGE = "https://upload.wikimedia.org/wikipedia/commons/2/27/Mirror_image_sign_to_be_read_by_drivers_who_are_backing_up_-b.JPG" MIRROR_IMAGE = "images/mirror-image.jpg" imgMirror = skimage.img_as_float(skimage.io.imread(MIRROR_IMAGE)).astype(np.float32) pyplot.figure() pyplot.imshow(imgMirror) pyplot.axis('on') pyplot.title('Mirror image') # So you can see that we kind of have some problems. If we're detecting places, landmarks, or objects, a sideways cell tower is no good. If we're detecting text and doing automatic language translation, then mirrored text is no good. But hey, maybe you want to make a model that can detect English both ways. That would be awesome, but not for this tutorial! # # Let's transform these babies into something Caffe2 and the standard detection models we have around can detect. Also, this little trick might save you if, say for example, you really had to detect the cell tower but there's no EXIF data to be found: then you'd cycle through every rotation, and every flip, spawning many derivatives of this photo and run them all through. When the percentage of confidence of detection is high enough, Bam!, you found the orientation you needed and that sneaky cell tower. # # Anyway, to the example code: # In[4]: # Run me to flip the image back and forth imgMirror = np.fliplr(imgMirror) pyplot.figure() pyplot.imshow(imgMirror) pyplot.axis('off') pyplot.title('Mirror image') # In[5]: # Run me to rotate the image 90 degrees imgRotated = np.rot90(imgRotated) pyplot.figure() pyplot.imshow(imgRotated) pyplot.axis('off') pyplot.title('Rotated image') # ## Sizing # # Part of preprocessing is resizing. For reasons we won't get into here, images in the Caffe2 pipeline should be square. Also, to help with performance, they should be resized to a standard height and width which is usually going to be smaller than your original source. In the example below we're resizing to 256 x 256 pixels, however you might notice that the `input_height` and `input_width` is set to 224 x 224 which is then used to specify the crop. This is what several image-based models are expecting. They were trained on images sized to 224 x 224 and in order for the model to properly identify the suspect images you throw at it, these should also be 224 x 224. # # ** Make sure you double-check the input sizes for the model you're using!** # In[6]: # Model is expecting 224 x 224, so resize/crop needed. # Here are the steps we use to preprocess the image. # (1) Resize the image to 256*256, and crop out the center. input_height, input_width = 224, 224 print("Model's input shape is %dx%d") % (input_height, input_width) #print("Original image is %dx%d") % (skimage.) img256 = skimage.transform.resize(img, (256, 256)) pyplot.figure() pyplot.imshow(img256) pyplot.axis('on') pyplot.title('Resized image to 256x256') print("New image shape:" + str(img256.shape)) # Note the resizing has distorted the image a little bit. It is important to recognize this effect during your processing as it can have an effect on the results of your model. Flowers and animals might be ok with a little stretching or squeezing, but facial features may not. # # This can happen when the dimensions of the original image are not proportionally exact to your desired size. In this particular example it would have been better to just resize to 224x224 and not bother cropping. Let's try another strategy of rescaling the image and maintaining the aspect ratio. # # ### Rescaling # # If you imagine portait images versus landscape images you'll know that there are a lot of things that can get messed up by doing a slopping resize. Rescaling is assuming that you're locking down the aspect ratio to prevent distortion in the image. In this case, we'll scale down the image to the shortest side that matches with the model's input size. # # In our example here, the model size is 224 x 224. As you look at your monitor in 1920x1080, it is longer in width than height and if you shrunk it down to 224, you'd run out of height before you ran out of width, so... # # - Landscape: limit resize by the height # - Portrait: limit resize by the width # In[7]: print("Original image shape:" + str(img.shape) + " and remember it should be in H, W, C!") print("Model's input shape is %dx%d") % (input_height, input_width) aspect = img.shape[1]/float(img.shape[0]) print("Orginal aspect ratio: " + str(aspect)) if(aspect>1): # landscape orientation - wide image res = int(aspect * input_height) imgScaled = skimage.transform.resize(img, (input_height, res)) if(aspect<1): # portrait orientation - tall image res = int(input_width/aspect) imgScaled = skimage.transform.resize(img, (res, input_width)) if(aspect == 1): imgScaled = skimage.transform.resize(img, (input_height, input_width)) pyplot.figure() pyplot.imshow(imgScaled) pyplot.axis('on') pyplot.title('Rescaled image') print("New image shape:" + str(imgScaled.shape) + " in HWC") # At this point only one dimension is set to what the model's input requires. We still need to crop one side to make a square. # # ### Cropping # # There are a variety of strategies we could utilize. In fact, we could backpeddle and decide to do a center crop. So instead of scaling down to the smallest we could get on at least one side, we take a chunk out of the middle. If we had done that without scaling we would have ended up with just part of a flower pedal, so we still needed some resizing of the image. # # Below we'll try a few strategies for cropping: # # 1. Just grab the exact dimensions you need from the middle! # 2. Resize to a square that's pretty close then grab from the middle. # 3. Use the rescaled image and grab the middle. # In[8]: # Compare the images and cropping strategies # Try a center crop on the original for giggles print("Original image shape:" + str(img.shape) + " and remember it should be in H, W, C!") def crop_center(img,cropx,cropy): y,x,c = img.shape startx = x//2-(cropx//2) starty = y//2-(cropy//2) return img[starty:starty+cropy,startx:startx+cropx] # yes, the function above should match resize and take a tuple... pyplot.figure() # Original image imgCenter = crop_center(img,224,224) pyplot.subplot(1,3,1) pyplot.imshow(imgCenter) pyplot.axis('on') pyplot.title('Original') # Now let's see what this does on the distorted image img256Center = crop_center(img256,224,224) pyplot.subplot(1,3,2) pyplot.imshow(img256Center) pyplot.axis('on') pyplot.title('Squeezed') # Scaled image imgScaledCenter = crop_center(imgScaled,224,224) pyplot.subplot(1,3,3) pyplot.imshow(imgScaledCenter) pyplot.axis('on') pyplot.title('Scaled') # As you can see that didn't work out so well, except for maybe the last one. The middle one may be just fine too, but you won't know until you try on the model and test a lot of candidate images. # At this point we can look at the difference we have, split it in half and remove some pixels from each side. This does have a drawback, however, as an off-center subject of interest would get clipped. # If you've run this tutorial a few times now and are on Round 3, you'll notice a pretty big problem. You're missing astronaughts! You can still see the issue with the flower from Round 2 as well. Things are missing after the cropping and that could cause you problems. Think of it this way: if you don't know how the model you're using was prepared then you don't know how to conform your images, so take care to test results! If the model used a lot of different aspect ratio images and just squeezed them to conform to a square then there's a good chance that over time and lots of samples it "learned" what things look like squeezed and can make a match. However, if you're looking for details like facial features and landmarks, or really nuanced elements in any image, this could be dangerous and error-prone. # # #### Further Strategies? # # Another strategy would be to rescale to the best size you can, with real data, but then pad the rest of the image with information that you can safely ignore in your model. We'll save that for another tutorial though since you've been through enough here! # # ### Upscaling # # What do you do when the images you want to run are "tiny"? In our example we've been prepping for Input Images with the spec of 224x224. Consider this 128x128 image below. # ![cells at 128x128](images/Cellsx128.png) # Now we're not talking about super-resolution or the CSI-effect where we can take blurry ATM photos and identify the tattoo an a perp's neck. Although, there are [some advances](https://github.com/david-gpu/srez) along these lines that deep learning has provided, and if you're reading this in time (before 3/1/17), go [check this out](https://developer.nvidia.com/zoom-enhance-magic-image-upscaling-using-deep-learning). What we want to do is simple, but, like cropping, it does have a variety of strategies you should consider. # # The most basic approach is going from a small square to a bigger square and using the defauls skimage provides for you. This `resize` method defaults the interpolation order parameter to 1 which happens to be bi-linear if you even cared, but it is worth mentioning because these might be the fine-tuning knobs you need later to fix problems, such as strange visual artifacts, that can be introduced in upscaling images. # In[9]: imgTiny = "images/Cellsx128.png" imgTiny = skimage.img_as_float(skimage.io.imread(imgTiny)).astype(np.float32) print "Original image shape: ", imgTiny.shape imgTiny224 = skimage.transform.resize(imgTiny, (224, 224)) print "Upscaled image shape: ", imgTiny224.shape # Plot original pyplot.figure() pyplot.subplot(1, 2, 1) pyplot.imshow(imgTiny) pyplot.axis('on') pyplot.title('128x128') # Plot upscaled pyplot.subplot(1, 2, 2) pyplot.imshow(imgTiny224) pyplot.axis('on') pyplot.title('224x224') # Great, it worked!. You can see in the shape outputs that you had (128, 128, 4) and you received (224, 224, 4). Wait a minute! 4? In every example so far the last value in shape has been 3! When we used a png file we entered a new reality; one where transparency is possible. This 4th value describes opacity, or transparency, depending if you're a half-glass-empty type. Anyway, we can handle it just fine, but keep an eye on that number. # # It's appropriate to put this discussion towards the end, but before we do further manipulations to the image, it's data order, and its overall payload. You can really mess up your data and the image if you do a simple resample on the image in its current format. Remember that it is currently a cube of data and that there's more going on in there right now than just Red, Green, and Blue (and opacity). Depending on when you decide to resize you'll have to account for that extra data. # # Let's break stuff! Try upscaling the image after you've switched the image to CHW. # In[10]: imgTiny = "images/Cellsx128.png" imgTiny = skimage.img_as_float(skimage.io.imread(imgTiny)).astype(np.float32) print "Image shape before HWC --> CHW conversion: ", imgTiny.shape # swapping the axes to go from HWC to CHW # uncomment the next line and run this block! imgTiny = imgTiny.swapaxes(1, 2).swapaxes(0, 1) print "Image shape after HWC --> CHW conversion: ", imgTiny.shape imgTiny224 = skimage.transform.resize(imgTiny, (224, 224)) print "Image shape after resize: ", imgTiny224.shape # we know this is going to go wrong, so... try: # Plot original pyplot.figure() pyplot.subplot(1, 2, 1) pyplot.imshow(imgTiny) pyplot.axis('on') pyplot.title('128x128') except: print "Here come bad things!" # hands up if you want to see the error (uncomment next line) #raise # Epic fail, right? If you let the code block above swap the axes, then resize the image, you will see this output: # # `Image shape after resize: (224, 224, 128)` # # Now you have 128 where you should still have 4. Oops. Let's revert in the code block below and try something else. We'll show an example where the image is smaller than your Input specification, and not square. Like maybe it came from a new microscope that can only take imagery in rectangular bands. # In[11]: imgTiny = "images/Cellsx128.png" imgTiny = skimage.img_as_float(skimage.io.imread(imgTiny)).astype(np.float32) imgTinySlice = crop_center(imgTiny, 128, 56) # Plot original pyplot.figure() pyplot.subplot(2, 1, 1) pyplot.imshow(imgTiny) pyplot.axis('on') pyplot.title('Original') # Plot slice pyplot.figure() pyplot.subplot(2, 2, 1) pyplot.imshow(imgTinySlice) pyplot.axis('on') pyplot.title('128x56') # Upscale? print "Slice image shape: ", imgTinySlice.shape imgTiny224 = skimage.transform.resize(imgTinySlice, (224, 224)) print "Upscaled slice image shape: ", imgTiny224.shape # Plot upscaled pyplot.subplot(2, 2, 2) pyplot.imshow(imgTiny224) pyplot.axis('on') pyplot.title('224x224') # Alright, this was a bit of a stretch for an example of how upscaling can fail. Get it? Stretch? This could be a life-or-death kind of failure though. What if normal cells are circular and diseased cells are elongated and bent? Sickle cell anemia for example: # ![sickle cells example](images/sickle-cells.jpg) # In this situation, what do you do? It really depends on the model and how it was trained. In some cases it may be ok to pad the rest of the image with white, or maybe black, or maybe noise, or maybe even use png and transparencies and set a mask for the images so the model ignores transparent areas. See how much fun you can have figuring this out and you get to make medical breakthroughs too! # Let's move on to the last step which we've already mentioned and that is to adjust the image input to be in BGR order. There's also another feature that Caffe2 uses, which is a `batch term`. We've already talked about CHW. This is the N, for number of images in NCHW. # # ### Final Preprocessing and the Batch Term # # In the last steps below we are going to switch the image's data order to BGR, stuff that into the Color column, then reoder the columns for GPU processing (HCW-->CHW) and then add a fourth dimension (N) to the image to track the number of images. In theory, you can just keep adding dimensions to your data, but this one is required for Caffe2 as it relays to Caffe how many images to expect in this batch. We set it to one (1) to indicate there's only one image going into Caffe in this batch. Note that in the final output when we check `img.shape` the order is quite different. We've added N for number of images, and changed the order like so: `N, C, H, W` # In[12]: # this next line helps with being able to rerun this section # if you want to try the outputs of the different crop strategies above # swap out imgScaled with img (original) or img256 (squeezed) imgCropped = crop_center(imgScaled,224,224) print "Image shape before HWC --> CHW conversion: ", imgCropped.shape # (1) Since Caffe expects CHW order and the current image is HWC, # we will need to change the order. imgCropped = imgCropped.swapaxes(1, 2).swapaxes(0, 1) print "Image shape after HWC --> CHW conversion: ", imgCropped.shape pyplot.figure() for i in range(3): # For some reason, pyplot subplot follows Matlab's indexing # convention (starting with 1). Well, we'll just follow it... pyplot.subplot(1, 3, i+1) pyplot.imshow(imgCropped[i]) pyplot.axis('off') pyplot.title('RGB channel %d' % (i+1)) # (2) Caffe uses a BGR order due to legacy OpenCV issues, so we # will change RGB to BGR. imgCropped = imgCropped[(2, 1, 0), :, :] print "Image shape after BGR conversion: ", imgCropped.shape # for discussion later - not helpful at this point # (3) We will subtract the mean image. Note that skimage loads # image in the [0, 1] range so we multiply the pixel values # first to get them into [0, 255]. #mean_file = os.path.join(CAFFE_ROOT, 'python/caffe/imagenet/ilsvrc_2012_mean.npy') #mean = np.load(mean_file).mean(1).mean(1) #img = img * 255 - mean[:, np.newaxis, np.newaxis] pyplot.figure() for i in range(3): # For some reason, pyplot subplot follows Matlab's indexing # convention (starting with 1). Well, we'll just follow it... pyplot.subplot(1, 3, i+1) pyplot.imshow(imgCropped[i]) pyplot.axis('off') pyplot.title('BGR channel %d' % (i+1)) # (4) finally, since caffe2 expect the input to have a batch term # so we can feed in multiple images, we will simply prepend a # batch dimension of size 1. Also, we will make sure image is # of type np.float32. imgCropped = imgCropped[np.newaxis, :, :, :].astype(np.float32) print 'Final input shape is:', imgCropped.shape # In the output above you should note these alterations: # 1. Before and after of the HWC to CHW change. The 3, which is the number of color channels moved to the beginning. # 2. In the pictures above you can see that the color order was switched too. RGB became BGR. Blue and Red switched places. # 3. The final input shape, meaning the last change to the image was to add the batch field to the beginning, so that now you have (1, 3, 224, 224) for: # - 1 image in the batch, # - 3 color channels (in BGR), # - 224 height, # - 224 width.

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