xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

b1197fc872ff61436943db739f1df0a8ad543bc3

6,658

py

Python

pymatflow/vasp/base/kpoints.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

6

2020-03-06T16:13:08.000Z

2022-03-09T07:53:34.000Z

pymatflow/vasp/base/kpoints.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-10-02T02:23:08.000Z

2021-11-08T13:29:37.000Z

pymatflow/vasp/base/kpoints.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-07-10T16:28:14.000Z

#!/usr/bin/env python # _*_ coding: utf-8 _*_ import numpy as np class VaspKpoints: """ """ def __init__(self): self.kpoints_mp = [1, 1, 1, 0, 0, 0] self.line_mode = False # now we forfeit line mode! def to_kpoints(self, fout): if self.kpoints_option == "automatic": fout.write("K-POINTS automatic\n") fout.write("0\n") # automatically generate the grid fout.write("Gamma\n") # Gamma centered fout.write("%d %d %d\n" % (self.kpoints_mp[0], self.kpoints_mp[1], self.kpoints_mp[2])) fout.write("%d %d %d\n" % (self.kpoints_mp[3], self.kpoints_mp[4], self.kpoints_mp[5])) # usually set them to 0 elif self.kpoints_option == "bands": # use self.kpath if self.line_mode == True: fout.write("K-POINTS for band structure in line mode\n") fout.write("%d\n" % self.kpath[0][4]) # default using the first connnect number for all the lines in line-mode fout.write("Line-mode\n") fout.write("rec\n") # in reciprocal coordinates for i in range(len(self.kpath) - 1): if self.kpath[i][4] != "|" and type(self.kpath[i][4] == int): fout.write(" %f %f %f !%s\n" % (self.kpath[i][0], self.kpath[i][1], self.kpath[i][2], self.kpath[i][3])) fout.write(" %f %f %f !%s\n" % (self.kpath[i+1][0], self.kpath[i+1][1], self.kpath[i+1][2], self.kpath[i+1][3])) fout.write("\n") else: # not in line mode, need to specify every kpoint explicitly fout.write("K-POINTS for band structure in explict specification(not line-mode)\n") nk = 0 for i in range(len(self.kpath)-1): # the last k point should not be count if self.kpath[i][4] != "|": nk += self.kpath[i][4] fout.write("%d\n" % nk) fout.write("Reciprocal lattice\n") for i in range(len(self.kpath)-1): if self.kpath[i][4] != "|": fout.write("%f %f %f 1.0 !%s\n" % (self.kpath[i][0], self.kpath[i][1], self.kpath[i][2], self.kpath[i][3])) for j in range(self.kpath[i][4]-2): x = (self.kpath[i+1][0] - self.kpath[i][0]) / (self.kpath[i][4]-1) * (j+1) + self.kpath[i][0] y = (self.kpath[i+1][1] - self.kpath[i][1]) / (self.kpath[i][4]-1) * (j+1) + self.kpath[i][1] z = (self.kpath[i+1][2] - self.kpath[i][2]) / (self.kpath[i][4]-1) * (j+1) + self.kpath[i][2] fout.write("%f %f %f 1.0\n" % (x, y, z)) fout.write("%f %f %f 1.0 !%s\n" % (self.kpath[i+1][0], self.kpath[i+1][1], self.kpath[i+1][2], self.kpath[i+1][3])) else: continue else: pass def to_string(self): out = "" if self.kpoints_option == "automatic": out += "K-POINTS automatic\n" out += "0\n" # automatically generate the grid out += "Gamma\n" # Gamma centered out += "%d %d %d\n" % (self.kpoints_mp[0], self.kpoints_mp[1], self.kpoints_mp[2]) out += "%d %d %d\n" % (self.kpoints_mp[3], self.kpoints_mp[4], self.kpoints_mp[5]) # usually set them to 0 elif self.kpoints_option == "bands": # use self.kpath if self.line_mode == True: out += "K-POINTS for band structure in line mode\n" out += "%d\n" % self.kpath[0][4] # default using the first connnect number for all the lines in line-mode out += "Line-mode\n" out += "rec\n" # in reciprocal coordinates for i in range(len(self.kpath) - 1): if self.kpath[i][4] != "|" and type(self.kpath[i][4] == int): out += " %f %f %f !%s\n" % (self.kpath[i][0], self.kpath[i][1], self.kpath[i][2], self.kpath[i][3]) out += " %f %f %f !%s\n" % (self.kpath[i+1][0], self.kpath[i+1][1], self.kpath[i+1][2], self.kpath[i+1][3]) out += "\n" else: # not in line mode, need to specify every kpoint explicitly out += "K-POINTS for band structure in explict specification(not line-mode)\n" nk = 0 for i in range(len(self.kpath)-1): # the last k point should not be count if self.kpath[i][4] != "|": nk += self.kpath[i][4] out += "%d\n" % nk out += "Reciprocal lattice\n" for i in range(len(self.kpath)-1): if self.kpath[i][4] != "|": out += "%f %f %f 1.0 !%s\n" % (self.kpath[i][0], self.kpath[i][1], self.kpath[i][2], self.kpath[i][3]) for j in range(self.kpath[i][4]-2): x = (self.kpath[i+1][0] - self.kpath[i][0]) / (self.kpath[i][4]-1) * (j+1) + self.kpath[i][0] y = (self.kpath[i+1][1] - self.kpath[i][1]) / (self.kpath[i][4]-1) * (j+1) + self.kpath[i][1] z = (self.kpath[i+1][2] - self.kpath[i][2]) / (self.kpath[i][4]-1) * (j+1) + self.kpath[i][2] out += "%f %f %f 1.0\n" % (x, y, z) out += "%f %f %f 1.0 !%s\n" % (self.kpath[i+1][0], self.kpath[i+1][1], self.kpath[i+1][2], self.kpath[i+1][3]) else: continue else: pass return out def set_kpoints(self, kpoints_mp=[1, 1, 1, 0, 0, 0], option="automatic", kpath=None): """ option: automatic, bands kpath: the high symmetry k point path used in bands structure calculation in format like this: [[kx, ky, kz, label, connect_indicator], ...] like [[0.0, 0.0, 0.0, 'GAMMA', 15], ...] if connect_indicator in a kpoint is an integer, then it will connect to the following point through the number of kpoints defined by connect_indicator. if connect_indicator in a kpoint is '|', then it will not connect to the following point, """ self.kpoints_option = option self.kpoints_mp = kpoints_mp self.kpath = kpath

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0.466056

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6,658

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null

0

5

b12d296455cea9e615f06a2214794a04e2aa9a11

47

py

Python

tests/components/mythicbeastsdns/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/mythicbeastsdns/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

tests/components/mythicbeastsdns/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Tests for the mythicbeastsdns component."""

23.5

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0.833333

0.851064

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1

0

1

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null

0

1

0

5

b130a17615fe56d800b567ae65e1c96aaff62380

72

py

Python

tests/unittests/generic_functions/foobar_as_str_no_anno/main.py

vrdmr/azure-functions-python-worker

7c9bcc4cc647f4b80a606a1e039d7cf9f3db9624

[ "MIT" ]

null

tests/unittests/generic_functions/foobar_as_str_no_anno/main.py

vrdmr/azure-functions-python-worker

7c9bcc4cc647f4b80a606a1e039d7cf9f3db9624

[ "MIT" ]

null

tests/unittests/generic_functions/foobar_as_str_no_anno/main.py

vrdmr/azure-functions-python-worker

7c9bcc4cc647f4b80a606a1e039d7cf9f3db9624

[ "MIT" ]

null

# Input as string, without annotation def main(input): return input

18

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0.736111

10

72

5.3

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72

3

38

24

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null

0

1

0

1

0

5

b151d6ffe20d6a61b37a2b004d93477eb8341d07

122

py

Python

core/helpers.py

uniMedic/uniMedic-Core

66da391b70f822478f9d02eca25a5680ddb2c9a6

[ "MIT" ]

8

2020-08-20T20:51:12.000Z

2021-04-15T21:32:39.000Z

core/helpers.py

uniMedic/uniMedic-Core

66da391b70f822478f9d02eca25a5680ddb2c9a6

[ "MIT" ]

null

core/helpers.py

uniMedic/uniMedic-Core

66da391b70f822478f9d02eca25a5680ddb2c9a6

[ "MIT" ]

4

2020-08-20T12:11:58.000Z

2021-06-28T06:25:01.000Z

import hashlib def hash_input(val): hash_object = hashlib.sha1(val.encode("utf-8")) return hash_object.digest()

17.428571

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122

4.666667

0.722222

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0.019417

0.155738

122

6

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20.333333

0.796117

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0.040984

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0.25

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0.75

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0

1

0

null

0

1

0

1

0

5

b15992edc2a8f15ffca8ff7c02fc7e3fa8aa6292

68

py

Python

prototype_template/__init__.py

qiskit-community/subgraph-isomorphism

ae7458a1b7318a0ed72d0207d26005a366de150e

[ "Apache-2.0" ]

1

2022-03-28T18:22:14.000Z

prototype_template/__init__.py

qiskit-community/subgraph-isomorphism

ae7458a1b7318a0ed72d0207d26005a366de150e

[ "Apache-2.0" ]

null

prototype_template/__init__.py

qiskit-community/subgraph-isomorphism

ae7458a1b7318a0ed72d0207d26005a366de150e

[ "Apache-2.0" ]

2

2022-03-28T17:47:26.000Z

2022-03-28T19:59:12.000Z

"""Template project.""" from .template_module import TemplateClass

17

42

0.779412

7

68

7.428571

0.857143

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0.102941

68

3

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22.666667

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true

0

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0

null

0

1

0

1

0

1

0

5

b19ffb051de68258de6cc5475c9a7edaf04a7481

67

py

Python

codigo.py

Gurtubay/HCAP2021

867e5c057f1cb66d632e54bdc62db4c31b7bb1be

[ "MIT" ]

null

codigo.py

Gurtubay/HCAP2021

867e5c057f1cb66d632e54bdc62db4c31b7bb1be

[ "MIT" ]

null

codigo.py

Gurtubay/HCAP2021

867e5c057f1cb66d632e54bdc62db4c31b7bb1be

[ "MIT" ]

null

import math print (math.pi) print("Hola esta es una nueva linea")

16.75

37

0.731343

12

67

4.083333

0.833333

0

0.164179

67

3

38

22.333333

0.875

0

0.41791

0

1

0

true

0

0.333333

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0.333333

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

771069981894027d5a5855ddc99cd59015cc15ed

118

py

Python

controllers/sync.py

manuelep/AEDISync

2812c633144080babcc7140c66b030b441a950c9

[ "MIT" ]

null

controllers/sync.py

manuelep/AEDISync

2812c633144080babcc7140c66b030b441a950c9

[ "MIT" ]

null

controllers/sync.py

manuelep/AEDISync

2812c633144080babcc7140c66b030b441a950c9

[ "MIT" ]

null

# -*- coding: utf-8 -*- # try something like def index(): sync.go() return dict(message="hello from sync.py")

19.666667

45

0.610169

17

118

4.235294

0.941176

0

0.010638

0.20339

118

5

46

23.6

0.755319

0.338983

0

0.24

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1

0.333333

true

0

0.666667

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1

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null

0

1

0

null

0

1

0

1

0

5

621f6456d18fdfc3437075c53a8c5a0fbef3e12a

949

py

Python

delivery_man/home/models.py

DeepanshuPratik/skillenza_project

b5f645c29bf0fbb8c5f17838276534cd50120143

[ "MIT" ]

null

delivery_man/home/models.py

DeepanshuPratik/skillenza_project

b5f645c29bf0fbb8c5f17838276534cd50120143

[ "MIT" ]

null

delivery_man/home/models.py

DeepanshuPratik/skillenza_project

b5f645c29bf0fbb8c5f17838276534cd50120143

[ "MIT" ]

1

2022-01-12T06:38:49.000Z

from django.db import models class Index(models.Model): name = models.CharField(max_length=122) subject = models.CharField(max_length=12) email = models.CharField(max_length=12) message = models.TextField() def __str__(self): return self.name class Contact(models.Model): name = models.CharField(max_length=122) subject = models.CharField(max_length=12) message = models.TextField() def __str__(self): return self.name # Create your models here. class Worker(models.Model): name = models.CharField(max_length=30) age = models.IntegerField() gender = models.CharField(max_length=10) def __str__(self) -> str: return self.name class Order(models.Model): assignedTo = models.ForeignKey('home.Worker', on_delete=models.CASCADE, blank=-1, null=False) item = models.CharField(max_length=50) location = models.CharField(max_length=150) orderedBy = models.CharField(max_length=30)

28.757576

94

0.72392

126

949

5.269841

0.380952

0.225904

0.271084

0.361446

0.504518

0.462349

0.403614

0

0.030113

0.160169

949

32

95

29.65625

0.803011

0.02529

0

0.44

0

0.011931

0

1

0.12

false

0

0.04

0.12

1

0

null

1

0

null

0

1

0

5

623169e476e9d1fe7691878790a96335d1bcfe1d

540

py

Python

list1/task2/path.py

ErykKrupa/metaheuristic-algorithms

cdeb283b4bb052328fd1d06e0da398a2932a7602

[ "MIT" ]

null

list1/task2/path.py

ErykKrupa/metaheuristic-algorithms

cdeb283b4bb052328fd1d06e0da398a2932a7602

[ "MIT" ]

null

list1/task2/path.py

ErykKrupa/metaheuristic-algorithms

cdeb283b4bb052328fd1d06e0da398a2932a7602

[ "MIT" ]

null

class Path: def __init__(self, move_sequence): self.move_sequence = move_sequence def swap_cities(self, city1, city2): tmp = list(self.move_sequence) tmp[city1], tmp[city2] = tmp[city2], tmp[city1] return Path(tuple(tmp)) def __eq__(self, other): return self.move_sequence == other.move_sequence def __hash__(self): return hash(self.move_sequence) def __str__(self): return ' '.join([str(i + 1) for i in self.move_sequence] + [str(self.move_sequence[0] + 1)])

30

100

0.637037

74

540

4.297297

0.337838

0.339623

0.352201

0

0.021845

0.237037

540

17

101

31.764706

0.75

0

0.001852

0

1

0.384615

false

0

0.230769

0.769231

0

null

1

0

null

0

1

0

1

0

5

658441ff153323b9986b096a439438c13df189e0

47

py

Python

tutorial/steps/welcome.py

IcebergIdeasOpen/scuba-portugal

9d8aa18890725ac63203847d0b34aca4a79e3166

[ "MIT" ]

1

2018-04-17T17:00:09.000Z

tutorial/steps/welcome.py

IcebergIdeasOpen/scuba-portugal

9d8aa18890725ac63203847d0b34aca4a79e3166

[ "MIT" ]

3

2017-09-27T13:53:12.000Z

2020-06-05T16:43:39.000Z

tutorial/steps/welcome.py

IcebergIdeasOpen/scuba-portugal

9d8aa18890725ac63203847d0b34aca4a79e3166

[ "MIT" ]

7

2017-09-27T10:20:31.000Z

2018-04-17T17:00:17.000Z

from behave import * use_step_matcher("re")

7.833333

22

0.723404

7

47

4.571429

1

0

0.170213

47

5

23

9.4

0.820513

0

0.044444

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

02a202b71d6b2551ff8f1c961b68364b0d55aa36

107

py

Python

backend/database/user/tests.py

HansErikHeum/tdt4140_2020_gruppe42

a916b5a003a174a343e0625ca501b542907cda72

[ "MIT" ]

null

backend/database/user/tests.py

HansErikHeum/tdt4140_2020_gruppe42

a916b5a003a174a343e0625ca501b542907cda72

[ "MIT" ]

null

backend/database/user/tests.py

HansErikHeum/tdt4140_2020_gruppe42

a916b5a003a174a343e0625ca501b542907cda72

[ "MIT" ]

null

"""i denne filen skal django tester skrives""" from django.test import TestCase # Create your tests here.

21.4

46

0.757009

16

107

5.0625

0.9375

0

0.158879

107

4

47

26.75

0.9

0.607477

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

02e8cccb583163570f485f834959203f888d2533

192

py

Python

pattern from notes.py

SriCharan220800/RomanReigns

0ec11c65fa0cfa6264f162c5e3f2ba5e45986fbb

[ "MIT" ]

null

pattern from notes.py

SriCharan220800/RomanReigns

0ec11c65fa0cfa6264f162c5e3f2ba5e45986fbb

[ "MIT" ]

null

pattern from notes.py

SriCharan220800/RomanReigns

0ec11c65fa0cfa6264f162c5e3f2ba5e45986fbb

[ "MIT" ]

null

n=int(input()) for i in range(1,n+1): for j in range(1,i+1): print(j,end="") print() for i in range(1,n): for j in range(n-i): print(j+1,end="") print()

21.333333

27

0.479167

38

192

2.421053

0.289474

0.304348

0.26087

0.23913

0.282609

0

0.045455

0.3125

192

9

28

21.333333

0.651515

0

0.222222

0

1

0

false

0

0.444444

0

null

1

0

1

0

null

0

1

0

5

02eae9b598966d1462937ee5f50ab6886a0a985a

37

py

Python

ndh/templatetags/__init__.py

nim65s/ndh

4945bf1f0f59bd08bdd04dd2640b3e9759fa6774

[ "BSD-2-Clause" ]

null

ndh/templatetags/__init__.py

nim65s/ndh

4945bf1f0f59bd08bdd04dd2640b3e9759fa6774

[ "BSD-2-Clause" ]

25

2017-09-23T11:22:00.000Z

2022-03-14T19:48:22.000Z

ndh/templatetags/__init__.py

nim65s/ndh

4945bf1f0f59bd08bdd04dd2640b3e9759fa6774

[ "BSD-2-Clause" ]

null

"""Django template tags for NDH."""

18.5

36

0.648649

5

37

4.8

1

0

0.162162

37

1

37

0.774194

0.810811

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

b86df0178ffad348da208c88e00eff22ca5b29c4

147

py

Python

tests/conftest.py

fcndl/ci-testing-python

45aac5b80864de0e25c90d1a589f0629f0a46ed1

[ "MIT" ]

38

2017-07-24T06:19:12.000Z

2021-09-03T22:46:28.000Z

tests/conftest.py

fcndl/ci-testing-python

45aac5b80864de0e25c90d1a589f0629f0a46ed1

[ "MIT" ]

1

2017-04-05T01:57:20.000Z

2017-04-05T02:06:48.000Z

tests/conftest.py

fcndl/ci-testing-python

45aac5b80864de0e25c90d1a589f0629f0a46ed1

[ "MIT" ]

22

2017-11-26T22:04:43.000Z

2022-02-10T04:21:23.000Z

import pytest from ci_testing_python.app.identidock import app as flask_app @pytest.fixture(scope='session') def app(): return flask_app

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b87f1a03aa858c238ae592ec28d6c0ee908a47ab

127

py

Python

examples/_empty/src/__init__.py

and-kul/catalyst

51428d7756e62b9b8ee5379f38e9fd576eeb36e5

[ "Apache-2.0" ]

2

2019-04-19T21:34:31.000Z

2019-05-02T22:50:25.000Z

examples/_empty/src/__init__.py

and-kul/catalyst

51428d7756e62b9b8ee5379f38e9fd576eeb36e5

[ "Apache-2.0" ]

1

2021-01-07T16:13:45.000Z

2021-01-21T09:27:54.000Z

examples/_empty/src/__init__.py

and-kul/catalyst

51428d7756e62b9b8ee5379f38e9fd576eeb36e5

[ "Apache-2.0" ]

1

2018-12-21T15:56:21.000Z

# flake8: noqa from catalyst.dl import SupervisedRunner as Runner from .experiment import Experiment from .model import Model

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b8b35570965e74415767e1ad39558a8039cd418f

164

py

Python

BluePrint/SampleBlue/blue_print_02.py

bestwishfang/FlaskFrameWork

e5f2af0b82be6d5b32febadc244a72aadceaa58b

[ "MIT" ]

null

BluePrint/SampleBlue/blue_print_02.py

bestwishfang/FlaskFrameWork

e5f2af0b82be6d5b32febadc244a72aadceaa58b

[ "MIT" ]

3

2020-04-30T15:16:56.000Z

2022-02-13T08:02:39.000Z

BluePrint/SampleBlue/blue_print_02.py

bestwishfang/FlaskFrameWork

e5f2af0b82be6d5b32febadc244a72aadceaa58b

[ "MIT" ]

null

from flask import Blueprint simple_02 = Blueprint('simple_page_02', __name__) @simple_02.route('/02/') def index(): return 'Hello World! This is simple_02.'

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null

0

1

0

5

b8bd32b8a4bcf5ba2d6f2862cd1ec103674619a7

146

py

Python

strings2.py

gaganminocha/python

fa467a53952391fa1c670322a6ec240c97aafd98

[ "MIT" ]

null

strings2.py

gaganminocha/python

fa467a53952391fa1c670322a6ec240c97aafd98

[ "MIT" ]

null

strings2.py

gaganminocha/python

fa467a53952391fa1c670322a6ec240c97aafd98

[ "MIT" ]

null

parrot = "Norwegian Blue" print(parrot) print(parrot[3]) print(parrot[4]) print(parrot[9]) print(parrot[3]) print(parrot[6]) print(parrot[8])

11.230769

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null

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null

0

1

0

5

b24f3f9b9fdf31fad36360a75f735b5c4f603c1d

20

py

Python

torchtoolbox/objects/__init__.py

deeplearningforfun/torch-tools

17aaa513ef72dbac8af88977ff11840aa2d6a2f4

[ "BSD-3-Clause" ]

353

2019-10-05T16:55:51.000Z

2022-03-30T00:03:38.000Z

torchtoolbox/objects/__init__.py

KAKAFEIcoffee/torch-toolbox

e3dc040dcfe33aec247a3139e72426bca73cda96

[ "BSD-3-Clause" ]

14

2019-12-12T04:24:47.000Z

2021-10-31T07:02:54.000Z

torchtoolbox/objects/__init__.py

KAKAFEIcoffee/torch-toolbox

e3dc040dcfe33aec247a3139e72426bca73cda96

[ "BSD-3-Clause" ]

49

2019-10-05T16:57:24.000Z

2022-01-20T08:08:37.000Z

from .bbox import *

10

19

0.7

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20

4.666667

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0.875

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1

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true

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null

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1

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1

0

5

b268f489b40149427cda5287b5bbc63df5cf3ae4

110

py

Python

bot/py/bot/speech/__init__.py

asarcar/PI

98ad69e64597313c527d59e7e210b04ff865d0e5

[ "Zlib" ]

null

bot/py/bot/speech/__init__.py

asarcar/PI

98ad69e64597313c527d59e7e210b04ff865d0e5

[ "Zlib" ]

null

bot/py/bot/speech/__init__.py

asarcar/PI

98ad69e64597313c527d59e7e210b04ff865d0e5

[ "Zlib" ]

null

13.75

49

0.709091

16

110

4.875

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110

7

50

15.714286

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1

0

1

0

5

a25e6b2c9db516cbf94ba4e3222d7aa8c800ec20

194

py

Python

src/questionario/admin.py

roginaldosemog/unbind

ab3e43aa03f49ba00fc048fa0846e8bf9d533961

[ "MIT" ]

null

src/questionario/admin.py

roginaldosemog/unbind

ab3e43aa03f49ba00fc048fa0846e8bf9d533961

[ "MIT" ]

93

2019-04-05T12:15:34.000Z

2022-03-11T23:47:11.000Z

src/questionario/admin.py

roginaldosemog/unbind

ab3e43aa03f49ba00fc048fa0846e8bf9d533961

[ "MIT" ]

6

2019-04-16T02:07:52.000Z

2019-09-20T22:53:59.000Z

from django.contrib import admin from questionario.models import Questionario, Pergunta, Resposta admin.site.register(Questionario) admin.site.register(Pergunta) admin.site.register(Resposta)

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7

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null

0

1

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5

a26dc6df3be85a0b985029057476e74399f6b8b5

236

py

Python

maru/tagger/__init__.py

chomechome/maru

dae41e250a64a8b6f6ab9647fd60221d5ede8ab6

[ "MIT" ]

47

2018-09-25T05:17:13.000Z

2022-03-31T09:27:15.000Z

maru/tagger/__init__.py

ojomio/maru

7a44be7f974c0962f3023f5d064a391d2b4f20b1

[ "MIT" ]

2

2019-11-26T08:48:54.000Z

2020-09-10T10:00:39.000Z

maru/tagger/__init__.py

ojomio/maru

7a44be7f974c0962f3023f5d064a391d2b4f20b1

[ "MIT" ]

5

2019-01-05T17:36:23.000Z

2021-06-29T08:55:24.000Z

from .abstract import ITagger from .crf import CRFTagger from .linear import LinearTagger from .numerical import NumericalTagger from .punctuation import PunctuationTagger from .pymorphy import PymorphyTagger from .rnn import RNNTagger

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7

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33.714286

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true

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null

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1

0

1

0

1

0

5

a28939dbd2daefe20d2c5948dda1a6395915199f

841

py

Python

1b_broken_clock.py

baduy9x/AlgorithmPractice

9fb956aedf67c0515b66f2af93d8383dba697fec

[ "Apache-2.0" ]

null

1b_broken_clock.py

baduy9x/AlgorithmPractice

9fb956aedf67c0515b66f2af93d8383dba697fec

[ "Apache-2.0" ]

null

1b_broken_clock.py

baduy9x/AlgorithmPractice

9fb956aedf67c0515b66f2af93d8383dba697fec

[ "Apache-2.0" ]

null

import sys sys.stdin = open("input.txt", "r") def compute(input_list): print(input_list) return 0 if __name__ == "__main__": num_test = int(input()) for i in range(num_test): input_list = [int(item) for item in input().split(" ")] print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list))) print("Case #{}: {}".format(i + 1, compute(input_list)))

42.05

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1

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1

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null

0

1

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5

0c1686538b73e865205453bf3b940c1267676164

121

py

Python

mysite/blog/admin.py

jankanak/Ecommerce-Blogsite-Django-

09d26e04bd49593f5666dcd74da732c43654de1f

[ "bzip2-1.0.6" ]

null

mysite/blog/admin.py

jankanak/Ecommerce-Blogsite-Django-

09d26e04bd49593f5666dcd74da732c43654de1f

[ "bzip2-1.0.6" ]

6

2021-03-19T02:57:22.000Z

2022-01-13T02:40:37.000Z

mysite/blog/admin.py

jankanak/Ecommerce-Blogsite-Django

09d26e04bd49593f5666dcd74da732c43654de1f

[ "bzip2-1.0.6" ]

null

from django.contrib import admin from .models import Blogpost # Register your models here. admin.site.register(Blogpost)

24.2

32

0.818182

17

121

5.823529

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5

33

24.2

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0

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true

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0

null

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1

0

1

0

1

0

5

0c277b627913610f6f2ca94588b45ac632724f9d

40

py

Python

fcur/run.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

3

2017-04-30T17:44:53.000Z

2018-02-03T06:02:11.000Z

fcur/run.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

10

2021-03-18T20:17:19.000Z

2022-03-11T23:14:19.000Z

fcur/run.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

null

from currency.app import app app.run()

10

28

0.75

7

40

4.285714

0.714286

0

0.15

40

3

29

13.333333

0.882353

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1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0c497a9cffc2a0289abb4bb74c6d92bfcb65c2c5

81

py

Python

mldata/__init__.py

wuhaifengdhu/MLData

04c174c6ce4a6634d8c885b42a87eee8b0a7c76a

[ "Apache-2.0" ]

null

mldata/__init__.py

wuhaifengdhu/MLData

04c174c6ce4a6634d8c885b42a87eee8b0a7c76a

[ "Apache-2.0" ]

1

2018-03-20T09:21:38.000Z

mldata/__init__.py

wuhaifengdhu/MLData

04c174c6ce4a6634d8c885b42a87eee8b0a7c76a

[ "Apache-2.0" ]

null

""" Your application """ from mldata.lib.processor import Processor as Processor

16.2

55

0.777778

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81

6.3

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0.123457

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4

56

20.25

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0

1

0

true

0

1

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1

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null

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0

null

0

1

0

1

0

1

0

5

0c4f0f741ccb4ed2dd726622a4934cdf224d5fa9

57

py

Python

webpages/urls.py

Kaiser784/Web-sec-challenges

c5a196d9130cf676d4bc09f4c0acf269169a789a

[ "MIT" ]

2

2021-06-05T10:26:59.000Z

2022-01-21T07:27:34.000Z

webpages/urls.py

Kaiser784/Web-sec-challenges

c5a196d9130cf676d4bc09f4c0acf269169a789a

[ "MIT" ]

null

webpages/urls.py

Kaiser784/Web-sec-challenges

c5a196d9130cf676d4bc09f4c0acf269169a789a

[ "MIT" ]

1

2021-08-20T12:57:57.000Z

from django.urls import path, include from . import views

28.5

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57

5.111111

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0.140351

57

2

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true

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1

0

1

0

5

a7909bf196d5c14e851eb0440aaf2decd9ab6261

4,645

py

Python

tests/test_tree_same.py

Maryom/Deep-Forest

a489436949f52368a5318ef31d14fbae16e2a3da

[ "BSD-3-Clause" ]

2

2021-05-28T06:05:16.000Z

2021-06-08T02:41:45.000Z

tests/test_tree_same.py

Maryom/Deep-Forest

a489436949f52368a5318ef31d14fbae16e2a3da

[ "BSD-3-Clause" ]

null

tests/test_tree_same.py

Maryom/Deep-Forest

a489436949f52368a5318ef31d14fbae16e2a3da

[ "BSD-3-Clause" ]

1

2021-03-03T06:30:49.000Z

""" Testing cases here make sure that the outputs of the reduced implementation on `DecisionTreeClassifier` and `ExtraTreeClassifier` are exactly the same as the original version in Scikit-Learn after the data binning. """ import pytest from numpy.testing import assert_array_equal from sklearn.tree import ( DecisionTreeClassifier as sklearn_DecisionTreeClassifier, ) from sklearn.tree import ( DecisionTreeRegressor as sklearn_DecisionTreeRegressor, ) from sklearn.tree import ExtraTreeClassifier as sklearn_ExtraTreeClassifier from sklearn.tree import ExtraTreeRegressor as sklearn_ExtraTreeRegressor # Load utils from sklearn.model_selection import train_test_split from sklearn.ensemble._hist_gradient_boosting.binning import _BinMapper # Toy classification datasets from sklearn.datasets import load_iris, load_wine, load_boston from deepforest import DecisionTreeClassifier from deepforest import ExtraTreeClassifier from deepforest import DecisionTreeRegressor from deepforest import ExtraTreeRegressor test_size = 0.42 random_state = 42 @pytest.mark.parametrize("load_func", [load_iris, load_wine]) def test_tree_classifier_proba(load_func): X, y = load_func(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=test_size, random_state=random_state ) # Data binning binner = _BinMapper(random_state=random_state) X_train_binned = binner.fit_transform(X_train) X_test_binned = binner.transform(X_test) # Ours model = DecisionTreeClassifier(random_state=random_state) model.fit(X_train_binned, y_train) actual_pred = model.predict(X_test_binned) actual_proba = model.predict_proba(X_test_binned) # Sklearn model = sklearn_DecisionTreeClassifier(random_state=random_state) model.fit(X_train_binned, y_train) expected_pred = model.predict(X_test_binned) expected_proba = model.predict_proba(X_test_binned) assert_array_equal(actual_pred, expected_pred) assert_array_equal(actual_proba, expected_proba) @pytest.mark.parametrize("load_func", [load_iris, load_wine]) def test_extra_tree_classifier_proba(load_func): X, y = load_func(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=test_size, random_state=random_state ) # Data binning binner = _BinMapper(random_state=random_state) X_train_binned = binner.fit_transform(X_train) X_test_binned = binner.transform(X_test) # Ours model = ExtraTreeClassifier(random_state=random_state) model.fit(X_train_binned, y_train) actual_pred = model.predict(X_test_binned) actual_proba = model.predict_proba(X_test_binned) # Sklearn model = sklearn_ExtraTreeClassifier(random_state=random_state) model.fit(X_train_binned, y_train) expected_pred = model.predict(X_test_binned) expected_proba = model.predict_proba(X_test_binned) assert_array_equal(actual_pred, expected_pred) assert_array_equal(actual_proba, expected_proba) @pytest.mark.parametrize("load_func", [load_boston]) def test_tree_regressor_pred(load_func): X, y = load_func(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=test_size, random_state=random_state ) # Data binning binner = _BinMapper(random_state=random_state) X_train_binned = binner.fit_transform(X_train) X_test_binned = binner.transform(X_test) # Ours model = DecisionTreeRegressor(random_state=random_state) model.fit(X_train_binned, y_train) actual_pred = model.predict(X_test_binned) # Sklearn model = sklearn_DecisionTreeRegressor(random_state=random_state) model.fit(X_train_binned, y_train) expected_pred = model.predict(X_test_binned) assert_array_equal(actual_pred, expected_pred) @pytest.mark.parametrize("load_func", [load_boston]) def test_extra_tree_regressor_pred(load_func): X, y = load_func(return_X_y=True) X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=test_size, random_state=random_state ) # Data binning binner = _BinMapper(random_state=random_state) X_train_binned = binner.fit_transform(X_train) X_test_binned = binner.transform(X_test) # Ours model = ExtraTreeRegressor(random_state=random_state) model.fit(X_train_binned, y_train) actual_pred = model.predict(X_test_binned) # Sklearn model = sklearn_ExtraTreeRegressor(random_state=random_state) model.fit(X_train_binned, y_train) expected_pred = model.predict(X_test_binned) assert_array_equal(actual_pred, expected_pred)

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null

0

1

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null

0

5

a79a3b65ee788194f9250d146ab08cf054be7722

55

py

Python

tests/fixtures/trailing_blank_lines/trailing_blank_lines4_out.py

spulec/pep8ify

cf1815f7bad9882027289bdb2f77604b68962ca7

[ "Apache-2.0" ]

50

2015-01-04T04:24:41.000Z

2021-09-13T01:01:29.000Z

tests/fixtures/trailing_blank_lines/trailing_blank_lines4_out.py

michaelBenin/pep8ify

3cd8a9e8baaab33d66e792185a6870338bdf0911

[ "Apache-2.0" ]

2

2016-05-15T12:01:28.000Z

2019-03-08T03:27:20.000Z

tests/fixtures/trailing_blank_lines/trailing_blank_lines4_out.py

michaelBenin/pep8ify

3cd8a9e8baaab33d66e792185a6870338bdf0911

[ "Apache-2.0" ]

5

2016-07-27T13:44:54.000Z

2020-11-19T16:00:08.000Z

def a(): pass # This is commented # out

9.166667

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55

3.714286

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a7bdbc792aa91a1d35be00d9714dfef42fc15ad7

307

py

Python

terafamiliar/childrens_therapy/views.py

Icogerard/WEB-TERAFAMILIAR---DJANGO2

dcf7d6507ef2eda697766ab3b1dd6df4365f0452

[ "MIT" ]

null

terafamiliar/childrens_therapy/views.py

Icogerard/WEB-TERAFAMILIAR---DJANGO2

dcf7d6507ef2eda697766ab3b1dd6df4365f0452

[ "MIT" ]

null

terafamiliar/childrens_therapy/views.py

Icogerard/WEB-TERAFAMILIAR---DJANGO2

dcf7d6507ef2eda697766ab3b1dd6df4365f0452

[ "MIT" ]

null

from django.shortcuts import render from .models import Childrens_therapy # Create your views here. def childrens_therapy(request): childrens_therapies = Childrens_therapy.objects.all() return render(request, "childrens_therapy/childrens_therapy.html", {'childrens_therapies':childrens_therapies})

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a7c0d0fc3283947302b3807b48af43f5b355d250

16,884

py

Python

mozumder/models/development.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

1

2020-06-13T06:12:16.000Z

mozumder/models/development.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

4

2020-06-18T03:53:29.000Z

2021-06-09T17:56:12.000Z

mozumder/models/development.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

null

from django.db import models from .. import FieldTypes, OnDelete, ConstraintType, IPAddressProtocol, ViewBaseClass, DefaultMixins from django.contrib.auth.models import Permission # Create your models here. class TrackedApp(models.Model): name = models.CharField(max_length=80) def __str__(self): return self.name class Choices(models.Model): value = models.CharField(max_length=80) label = models.CharField(max_length=80) class TrackedField(models.Model): name = models.CharField(max_length=80) owner = models.ForeignKey('TrackedModel',on_delete=models.CASCADE) type = models.CharField( max_length=2, choices=FieldTypes.choices, ) verbose_name = models.CharField(max_length=80, null=True, blank=True) auto_created = models.BooleanField(null=True, blank=True) serialize = models.BooleanField(null=True, blank=True) primary_key = models.BooleanField(null=True, blank=True) null = models.BooleanField(null=True, blank=True) blank = models.BooleanField(null=True, blank=True) db_index = models.BooleanField(null=True, blank=True) db_column = models.CharField(max_length=80, null=True, blank=True) db_tablespace = models.CharField(max_length=80, null=True, blank=True) editable = models.BooleanField(null=True, blank=True) show_in_detail_view = models.BooleanField(null=True, blank=True) show_in_list_view = models.BooleanField(null=True, blank=True) link_in_list_view = models.BooleanField(null=True, blank=True) admin_readonly_field = models.BooleanField(null=True, blank=True) admin_search = models.BooleanField(null=True, blank=True) unique = models.BooleanField(null=True, blank=True) unique_for_date = models.BooleanField(null=True, blank=True) unique_for_month = models.BooleanField(null=True, blank=True) unique_for_year = models.BooleanField(null=True, blank=True) default_bool = models.BooleanField(null=True, blank=True) default_text = models.TextField(null=True, blank=True) default_smallint = models.SmallIntegerField(null=True, blank=True) default_bigint = models.BigIntegerField(null=True, blank=True) default_int = models.IntegerField(null=True, blank=True) default_posint = models.PositiveIntegerField(null=True, blank=True) default_possmallint = models.PositiveSmallIntegerField(null=True, blank=True) default_datetime = models.DateTimeField(null=True, blank=True) default_float = models.FloatField(null=True, blank=True) default_decimal = models.DecimalField(max_digits=18, decimal_places=18, null=True, blank=True) choices = models.ManyToManyField(Choices) #Field: CharField max_length = models.SmallIntegerField(null=True, blank=True) #Field: ForeignKey to = models.CharField(max_length=80, null=True, blank=True) on_delete = models.CharField( max_length=2, choices=OnDelete.choices, null=True, blank=True ) related_name = models.CharField(max_length=80, null=True, blank=True) related_query_name = models.CharField(max_length=80, null=True, blank=True) limit_choices_to = models.TextField(null=True, blank=True) to_field = models.CharField(max_length=80, null=True, blank=True) #Field: ManyToManyField symmetrical = models.BooleanField(null=True, blank=True) through = models.CharField(max_length=80, null=True, blank=True) through_fields_source = models.CharField(max_length=80, null=True, blank=True) through_fields_target = models.CharField(max_length=80, null=True, blank=True) db_table = models.CharField(max_length=80, null=True, blank=True) db_constraint = models.BooleanField(null=True, blank=True) swappable = models.BooleanField(null=True, blank=True) #Field: OneToOneField parent_link = models.BooleanField(null=True, blank=True) #Field: DateField, DateTimeField auto_now = models.BooleanField(null=True, blank=True) auto_now_add = models.BooleanField(null=True, blank=True) #Field: DecimalField max_digits = models.SmallIntegerField(null=True, blank=True) decimal_places = models.SmallIntegerField(null=True, blank=True) #Field: FileField upload_to = models.CharField(max_length=255,null=True, blank=True) #Field: GenericIPAddressField protocol = models.CharField(max_length=2, choices=IPAddressProtocol.choices, null=True, blank=True) unpack_ipv4 = models.BooleanField(null=True, blank=True) #Field: SlugField sllow_unicode = models.BooleanField(null=True, blank=True) def __str__(self): return self.name class Index(models.Model): name = models.CharField(max_length=80, null=True, blank=True) fields = models.ManyToManyField(TrackedField) owner = models.ForeignKey('TrackedModel', on_delete=models.CASCADE) def __str__(self): return self.name class Query(models.Model): params = models.CharField(max_length=512, null=True, blank=True) def __str__(self): return self.params class Constraint(models.Model): name = models.CharField(max_length=80) owner = models.ForeignKey('TrackedModel', on_delete=models.CASCADE) type = models.CharField(max_length=2, choices=ConstraintType.choices) fields = models.ManyToManyField('TrackedField') q = models.ForeignKey('Query', on_delete=models.CASCADE, null=True, blank=True) deferrable = models.BooleanField(default=False) def __str__(self): return self.name class Arg(models.Model): name = models.CharField(max_length=80, null=True, blank=True) value = models.CharField(max_length=80, null=True, blank=True) def __str__(self): return self.name class Method(models.Model): name = models.CharField(max_length=80) args = models.ManyToManyField(TrackedField, related_name='function_args') kwargs = models.ManyToManyField(TrackedField, related_name='function_kwargs') code = models.TextField(null=True, blank=True) class Latest(models.Model): latest_field = models.ForeignKey('TrackedField', on_delete=models.CASCADE) latest_model = models.ForeignKey('TrackedModel', on_delete=models.CASCADE) number = models.SmallIntegerField(default=0) descending = models.BooleanField(default=False) nulls_last = models.BooleanField(default=False) class Meta: ordering = ['number'] def __str__(self): return f"{self.latest_field}:{self.latest_model}:{self.number}:{self.descending}:{self.nulls_last}" class Ordering(models.Model): target_field = models.ForeignKey('TrackedField', on_delete=models.CASCADE) source = models.ForeignKey('TrackedModel', related_name='source_ordering_model', on_delete=models.CASCADE) number = models.SmallIntegerField(default=0) descending = models.BooleanField(default=False) nulls_last = models.BooleanField(default=False) class Meta: ordering = ['number'] def __str__(self): return f"{self.target_field}:{self.source}:{self.number}:{self.descending}:{self.nulls_last}" class ExtraPermission(models.Model): permission_code = models.CharField(max_length=80, unique=True, null=True, blank=True) human_readable_permission_name = models.CharField(max_length=80, null=True, blank=True) def __str__(self): return self.name class DefaultPermission(models.Model): permission_code = models.CharField(max_length=80, unique=True, null=True, blank=True) def __str__(self): return self.permission_code class TrackedModel(models.Model): name = models.CharField(max_length=80) owner = models.ForeignKey('TrackedApp',on_delete=models.CASCADE) verbose_name = models.CharField(max_length=80) verbose_name_plural = models.CharField(max_length=80) abstract = models.BooleanField(default=False) app_label = models.CharField(max_length=80, null=True, blank=True) base_manager_name = models.CharField(max_length=80, null=True, blank=True) db_table = models.CharField(max_length=80, null=True, blank=True) db_tablespace = models.CharField(max_length=80, null=True, blank=True) default_manager_name = models.CharField(max_length=80, null=True, blank=True) default_related_name = models.CharField(max_length=80, null=True, blank=True) get_latest_by = models.ManyToManyField('TrackedField', related_name='latest_fields', through='Latest', through_fields=('latest_model','latest_field')) managed = models.BooleanField(null=True, blank=True) order_with_respect_to = models.ForeignKey('TrackedField', related_name='ordered_with_respect_to_field', on_delete=models.SET_NULL, null=True, blank=True) ordering = models.ManyToManyField('TrackedField',through='Ordering',related_name='ordering_fields', through_fields=('source','target_field')) permissions = models.ManyToManyField('ExtraPermission') default_permissions = models.ManyToManyField('DefaultPermission') proxy = models.BooleanField(null=True, blank=True) select_on_save = models.BooleanField(null=True, blank=True) indexes = models.ManyToManyField('Index') constraints = models.ManyToManyField('Constraint') mixins = models.ManyToManyField('Mixin') methods = models.ManyToManyField('Method') def __str__(self): return self.name class TrackedView(models.Model): name = models.CharField(max_length=80) owner = models.ForeignKey('TrackedApp', on_delete=models.CASCADE) class_based_view = models.BooleanField(null=True, blank=True) base_class = models.CharField( max_length=2, choices=ViewBaseClass.choices, ) url = models.CharField(max_length=250) url_name = models.CharField(max_length=250) api_url = models.BooleanField(default=False) mixins = models.ManyToManyField('Mixin') methods = models.ManyToManyField('Method') model = models.ForeignKey('TrackedModel',on_delete=models.CASCADE, null=True, blank=True) # Redirect View url = models.CharField(max_length=250, null=True, blank=True) pattern = models.CharField(max_length=250, null=True, blank=True) permanent = models.BooleanField(null=True, blank=True) query_string = models.BooleanField(null=True, blank=True) # Create/Update View object = models.CharField(max_length=250, null=True, blank=True) success_url = models.CharField(max_length=250, null=True, blank=True) # Context Mixin extra_context = models.TextField(null=True, blank=True) # Template Response mixin template_name = models.CharField(max_length=250, null=True, blank=True) template_engine = models.CharField(max_length=250, null=True, blank=True) response_class = models.CharField(max_length=250, null=True, blank=True) content_type = models.CharField(max_length=250, null=True, blank=True) # Single Object Mixin model = models.ForeignKey('TrackedModel',on_delete=models.CASCADE, null=True, blank=True) queryset = models.CharField(max_length=250, null=True, blank=True) slug_field = models.ForeignKey('TrackedField', related_name='view_slug_field', on_delete=models.CASCADE,null=True, blank=True) slug_url_kwarg = models.CharField(max_length=250, null=True, blank=True) pk_url_kwarg = models.CharField(max_length=250, null=True, blank=True) context_object_name = models.CharField(max_length=250, null=True, blank=True) query_pk_and_slug = models.CharField(max_length=250, null=True, blank=True) # Single Object Template Response Mixin template_name_field = models.ForeignKey('TrackedField', related_name='view_template_name_field', on_delete=models.CASCADE, null=True, blank=True) template_name_suffix = models.CharField(max_length=250, null=True, blank=True) # Multiple Object Mixin allow_empty = models.BooleanField(null=True, blank=True) ordering = models.CharField(max_length=250, null=True, blank=True) paginate_by = models.SmallIntegerField(null=True, blank=True) paginate_orphans = models.SmallIntegerField(null=True, blank=True) page_kwarg = models.CharField(max_length=250, null=True, blank=True) paginator_class = models.CharField(max_length=250, null=True, blank=True) context_object_name = models.CharField(max_length=250, null=True, blank=True) # Form Mixin initial = models.TextField(null=True, blank=True) form_class = models.CharField(max_length=250, null=True, blank=True) prefix = models.CharField(max_length=250, null=True, blank=True) # Model Form fields = models.ManyToManyField(TrackedField, related_name='view_model_form_fields') # Year/Month/Day/Week Mixin year_format = models.CharField(max_length=250, null=True, blank=True) year = models.CharField(max_length=250, null=True, blank=True) month_format = models.CharField(max_length=250, null=True, blank=True) month = models.CharField(max_length=250, null=True, blank=True) day_format = models.CharField(max_length=250, null=True, blank=True) day = models.CharField(max_length=250, null=True, blank=True) week_format = models.CharField(max_length=250, null=True, blank=True) week = models.CharField(max_length=250, null=True, blank=True) # Date Mixin date_field = models.ForeignKey('TrackedField', related_name='view_date_field', on_delete=models.CASCADE, null=True, blank=True) allow_future = models.BooleanField(null=True, blank=True) # BaseDateListView allow_empty = models.BooleanField(null=True, blank=True) class Mixin(models.Model): name = models.CharField(max_length=80) owner = models.ForeignKey('TrackedApp', on_delete=models.CASCADE) base_class = models.CharField( max_length=2, choices=DefaultMixins.choices, ) methods = models.ManyToManyField(Method) # Context Mixin extra_context = models.TextField(null=True, blank=True) # Template Response mixin template_name = models.CharField(max_length=250, null=True, blank=True) template_engine = models.CharField(max_length=250, null=True, blank=True) response_class = models.CharField(max_length=250, null=True, blank=True) content_type = models.CharField(max_length=250, null=True, blank=True) # Single Object Mixin model = models.ForeignKey('TrackedModel',on_delete=models.CASCADE, null=True, blank=True) queryset = models.CharField(max_length=250, null=True, blank=True) slug_field = models.ForeignKey('TrackedField', related_name='mixin_slug_field', on_delete=models.CASCADE,null=True, blank=True) slug_url_kwarg = models.CharField(max_length=250, null=True, blank=True) pk_url_kwarg = models.CharField(max_length=250, null=True, blank=True) context_object_name = models.CharField(max_length=250, null=True, blank=True) query_pk_and_slug = models.CharField(max_length=250, null=True, blank=True) # Single Object Template Response Mixin template_name_field = models.ForeignKey('TrackedField', related_name='mixin_template_name_field', on_delete=models.CASCADE, null=True, blank=True) template_name_suffix = models.CharField(max_length=250, null=True, blank=True) # Multiple Object Mixin allow_empty = models.BooleanField(null=True, blank=True) ordering = models.CharField(max_length=250, null=True, blank=True) paginate_by = models.SmallIntegerField(null=True, blank=True) paginate_orphans = models.SmallIntegerField(null=True, blank=True) page_kwarg = models.CharField(max_length=250, null=True, blank=True) paginator_class = models.CharField(max_length=250, null=True, blank=True) context_object_name = models.CharField(max_length=250, null=True, blank=True) # Form Mixin initial = models.TextField(null=True, blank=True) form_class = models.CharField(max_length=250, null=True, blank=True) prefix = models.CharField(max_length=250, null=True, blank=True) # Model Form fields = models.ManyToManyField(TrackedField, related_name='mixin_model_form_fields') # Year/Month/Day/Week Mixin year_format = models.CharField(max_length=250, null=True, blank=True) year = models.CharField(max_length=250, null=True, blank=True) month_format = models.CharField(max_length=250, null=True, blank=True) month = models.CharField(max_length=250, null=True, blank=True) day_format = models.CharField(max_length=250, null=True, blank=True) day = models.CharField(max_length=250, null=True, blank=True) week_format = models.CharField(max_length=250, null=True, blank=True) week = models.CharField(max_length=250, null=True, blank=True) # Date Mixin date_field = models.ForeignKey('TrackedField', related_name='mixin_date_field', on_delete=models.CASCADE, null=True, blank=True) allow_future = models.BooleanField(null=True, blank=True) # BaseDateListView allow_empty = models.BooleanField(null=True, blank=True) def __str__(self): return self.name

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null

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a7ccb69f6390963a193d3271bb9d06b1d7fb9958

88

py

Python

boards/admin.py

EndermanOfCoding/django-beginners-guide

117453fcdb233e7fb81e910ebbfbdf8f6c79c74a

[ "MIT" ]

1,106

2017-09-04T05:06:27.000Z

2022-03-29T03:53:37.000Z

boards/admin.py

EndermanOfCoding/django-beginners-guide

117453fcdb233e7fb81e910ebbfbdf8f6c79c74a

[ "MIT" ]

28

2017-09-27T13:34:11.000Z

2021-08-30T06:13:25.000Z

boards/admin.py

EndermanOfCoding/django-beginners-guide

117453fcdb233e7fb81e910ebbfbdf8f6c79c74a

[ "MIT" ]

455

2017-09-04T11:50:58.000Z

2022-03-31T18:44:16.000Z

from django.contrib import admin from .models import Board admin.site.register(Board)

14.666667

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a7cd6bb71faadbe535f373af4f60f2a3212e59e0

56

py

Python

Back/ecoreleve_server/modules/sensors/__init__.py

NaturalSolutions/ecoReleve-Data

535a6165984544902563eca7cb10d07f1686c963

[ "MIT" ]

15

2015-02-15T18:02:54.000Z

2021-10-31T00:08:41.000Z

Back/ecoreleve_server/modules/sensors/__init__.py

NaturalSolutions/ecoReleve-Data

535a6165984544902563eca7cb10d07f1686c963

[ "MIT" ]

505

2015-03-24T15:16:55.000Z

2022-03-21T22:17:11.000Z

Back/ecoreleve_server/modules/sensors/__init__.py

NaturalSolutions/ecoReleve-Data

535a6165984544902563eca7cb10d07f1686c963

[ "MIT" ]

31

2015-04-09T10:48:31.000Z

2020-12-08T16:32:30.000Z

from .sensor_model import * from .sensor_data import *

14

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5.125

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0.160714

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3

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true

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a7d0b0e4231d7b3dd32f6ca768032a8c36e6c4c4

135

py

Python

enthought/plugins/remote_editor/editor_plugins/emacs/enshell_plugin.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/plugins/remote_editor/editor_plugins/emacs/enshell_plugin.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/plugins/remote_editor/editor_plugins/emacs/enshell_plugin.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from envisage.plugins.remote_editor.editor_plugins.emacs.enshell_plugin import *

33.75

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0.866667

18

135

6.055556

0.722222

0

0.081481

135

3

81

45

0.879032

0.088889

0

1

0

true

0

1

0

1

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

a7d788078f9057372d6ba164e25f8c887e8bbe4a

34

py

Python

algo_assignment.py

TransientObject/labMTComparison

5b9639230fb4db4ff6310fd62fe667f1cec7a3c6

[ "Apache-2.0" ]

null

algo_assignment.py

TransientObject/labMTComparison

5b9639230fb4db4ff6310fd62fe667f1cec7a3c6

[ "Apache-2.0" ]

null

algo_assignment.py

TransientObject/labMTComparison

5b9639230fb4db4ff6310fd62fe667f1cec7a3c6

[ "Apache-2.0" ]

null

import random def search(a,x):

5.666667

16

0.676471

6

34

3.833333

1

0

0.205882

34

5

17

6.8

0.851852

0

null

0

0.5

null

0

1

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null

0

1

0

null

0

1

0

1

0

5

38f83b251a41f7f27fdaef3247929095e30693bc

266

py

Python

package2/subpackageB/moduleA.py

cheshyre/python-import-test

a3c434d2f78e02381c838f0fb0440c888bcab0af

[ "MIT" ]

null

package2/subpackageB/moduleA.py

cheshyre/python-import-test

a3c434d2f78e02381c838f0fb0440c888bcab0af

[ "MIT" ]

null

package2/subpackageB/moduleA.py

cheshyre/python-import-test

a3c434d2f78e02381c838f0fb0440c888bcab0af

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import print_function from __future__ import unicode_literals from package2.subpackageA import moduleB as mB def methodA(): print("B.A.methodA") def methodB(): mB.methodA() print("B.A.methodB")

17.733333

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266

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266

14

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0

5

ac074204173834b5205e97e181e115e6fde5ed28

17

py

Python

pam/conftest.py

spaceone/python-pampy

25b2f0639ec6849b1af31065833666fb8d9c5b34

[ "MIT" ]

76

2015-05-22T11:59:11.000Z

2022-03-23T03:13:08.000Z

pam/conftest.py

spaceone/python-pampy

25b2f0639ec6849b1af31065833666fb8d9c5b34

[ "MIT" ]

24

2015-01-06T18:31:58.000Z

2022-03-18T00:40:15.000Z

pam/conftest.py

spaceone/python-pampy

25b2f0639ec6849b1af31065833666fb8d9c5b34

[ "MIT" ]

21

2015-04-20T03:35:39.000Z

2022-02-19T11:48:33.000Z

# trigger pytest

8.5

16

0.764706

2

17

6.5

1

0

0.176471

17

1

17

0.928571

0.823529

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

ac28de36c7857d7f1b0cb60bc2bd0da7b0012cdd

51

py

Python

scripts/run_benchmark/__init__.py

abeimler/ecs_benchmark

539b243f6e5faf2c4af9fc2da6dca4742978f386

[ "MIT" ]

44

2017-03-01T15:47:50.000Z

2022-03-25T16:39:11.000Z

scripts/run_benchmark/__init__.py

abeimler/ecs_benchmark

539b243f6e5faf2c4af9fc2da6dca4742978f386

[ "MIT" ]

7

2017-03-27T19:39:33.000Z

2022-02-01T02:20:43.000Z

scripts/run_benchmark/__init__.py

abeimler/ecs_benchmark

539b243f6e5faf2c4af9fc2da6dca4742978f386

[ "MIT" ]

11

2016-12-02T03:07:50.000Z

2021-03-20T15:53:21.000Z

from .csvtomd import * from .run_benchmark import *

25.5

28

0.784314

7

51

5.571429

0.714286

0

0.137255

51

2

28

25.5

0.886364

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ac2f729f724aafb6adf3fdf855418c8e92f7dac3

215

py

Python

leetcode/count-and-say/test_count_and_say.py

tomviner/coding-exercises

669895011bb3d1f3878599312b19af1f87a715bc

[ "MIT" ]

1

2019-08-06T07:56:59.000Z

leetcode/count-and-say/test_count_and_say.py

tomviner/coding-exercises

669895011bb3d1f3878599312b19af1f87a715bc

[ "MIT" ]

null

leetcode/count-and-say/test_count_and_say.py

tomviner/coding-exercises

669895011bb3d1f3878599312b19af1f87a715bc

[ "MIT" ]

null

import pytest from count_and_say import Solution @pytest.mark.parametrize('input, expected', [(1, '1'), (4, '1211')]) def test_count_and_say(input, expected): assert Solution().countAndSay(input) == expected

23.888889

68

0.725581

29

215

5.206897

0.62069

0.258278

0.145695

0

0.037037

0.12093

215

8

69

26.875

0.761905

0

0.093023

0

0.2

1

0.2

false

0

0.4

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ac4868481668bd8e63ed04fd0e3ac97a8b09085e

72

py

Python

apps/challenge/services/clan_war.py

mehrbodjavadi79/AIC21-Backend

9f4342781f0722804a2eb704b43b52984c81b40a

[ "MIT" ]

3

2021-03-12T18:32:39.000Z

2021-11-08T10:21:04.000Z

apps/challenge/services/clan_war.py

mehrbodjavadi79/AIC21-Backend

9f4342781f0722804a2eb704b43b52984c81b40a

[ "MIT" ]

null

apps/challenge/services/clan_war.py

mehrbodjavadi79/AIC21-Backend

9f4342781f0722804a2eb704b43b52984c81b40a

[ "MIT" ]

2

2021-01-29T14:52:53.000Z

2022-03-05T10:24:24.000Z

class ClanWarService: def __init__(self, clan1, clan2): pass

24

37

0.666667

8

72

5.5

1

0

0.037037

0.25

72

3

38

24

0.777778

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ac5da5f405ef22fdcfa33eb56c5ef15b30b1115e

105

py

Python

statefun_tasks/client/__init__.py

lukeashworth1/flink-statefun-tasks

854abdd4f572836bcd7be7b9ec8b79cc4b0182e6

[ "Apache-2.0" ]

null

statefun_tasks/client/__init__.py

lukeashworth1/flink-statefun-tasks

854abdd4f572836bcd7be7b9ec8b79cc4b0182e6

[ "Apache-2.0" ]

null

statefun_tasks/client/__init__.py

lukeashworth1/flink-statefun-tasks

854abdd4f572836bcd7be7b9ec8b79cc4b0182e6

[ "Apache-2.0" ]

null

from ._types import TaskError, TaskStatus from ._client import FlinkTasksClient, FlinkTasksClientFactory

35

62

0.866667

10

105

8.9

0.8

0

0.095238

105

2

63

52.5

0.936842

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3ba7ed00faca6431681a02ce3b40d62ffa86f0ac

113

py

Python

EHTask/models/__init__.py

CraneHzm/EHTask

1d36e326bee8b8d5b9d20761fc24bd2b3fa22aaa

[ "MIT" ]

null

EHTask/models/__init__.py

CraneHzm/EHTask

1d36e326bee8b8d5b9d20761fc24bd2b3fa22aaa

[ "MIT" ]

null

EHTask/models/__init__.py

CraneHzm/EHTask

1d36e326bee8b8d5b9d20761fc24bd2b3fa22aaa

[ "MIT" ]

null

__all__ = ['EHTaskModels', 'weight_init'] from .EHTaskModels import EHTask from .weight_init import weight_init

22.6

41

0.79646

14

113

5.928571

0.5

0.361446

0

0.115044

113

4

42

28.25

0.83

0

0.20354

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3bd2e014bd72d4e9903f0550f6c87eca10fdf8d9

37

py

Python

dynamicdecorators/admin.py

huseyinyilmaz/django-dynamic-decorators

f3cbc11faec12f1975e6722e204db78dc543d7aa

[ "MIT" ]

null

dynamicdecorators/admin.py

huseyinyilmaz/django-dynamic-decorators

f3cbc11faec12f1975e6722e204db78dc543d7aa

[ "MIT" ]

null

dynamicdecorators/admin.py

huseyinyilmaz/django-dynamic-decorators

f3cbc11faec12f1975e6722e204db78dc543d7aa

[ "MIT" ]

null

"""Admin interface configuration."""

18.5

36

0.72973

3

37

9

1

0

0.081081

37

1

37

0.794118

0.810811

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

3be0469ffbf09be2d5f0f0241597866ee293be24

911

py

Python

Functionalities/Voice/VoiceQuery.py

sebampuero/dummy-discord-bot

030bc6483c501ad80b6a504e886b47b41da3f609

[ "MIT" ]

null

Functionalities/Voice/VoiceQuery.py

sebampuero/dummy-discord-bot

030bc6483c501ad80b6a504e886b47b41da3f609

[ "MIT" ]

1

2021-03-31T19:48:15.000Z

Functionalities/Voice/VoiceQuery.py

sebampuero/dummy-discord-bot

030bc6483c501ad80b6a504e886b47b41da3f609

[ "MIT" ]

null

class Query: def __init__(self, the_query, filename=None): self.data = None self.the_query = the_query def set_data(self, data): self.data = data def __repr__(self): return self.the_query class LocalMP3Query(Query): def __init__(self, filename, url, author_name): self.title = f"{filename} by {author_name}" super().__init__(url) def __repr__(self): return self.title class YoutubeQuery(Query): def __init__(self, the_query): super().__init__(the_query) def __repr__(self): return " ".join(self.the_query) if isinstance(self.the_query, tuple) or isinstance(self.the_query, list) else self.the_query class SpotifyQuery(Query): def __init__(self, the_query): super().__init__(the_query) class SoundcloudQuery(Query): def __init__(self, the_query): super().__init__(the_query)

23.973684

132

0.66191

118

911

4.559322

0.254237

0.208178

0.223048

0.148699

0.351301

0.273234

0.228625

0

0.00142

0.227223

911

38

133

23.973684

0.762784

0

0.36

0

0.030702

0

1

0.36

false

0

0.12

0.68

0

null

1

0

null

0

1

0

1

0

5

3be4278f9c8e646616d45135f6837c52d57a0e3f

78

py

Python

tradssat/tmpl/__init__.py

shreyayadav/traDSSAT

cc9650f896910c0d0a7a382aff36bef89aba70f2

[ "MIT" ]

6

2020-10-05T11:50:37.000Z

2022-02-24T08:36:22.000Z

tradssat/tmpl/__init__.py

shreyayadav/traDSSAT

cc9650f896910c0d0a7a382aff36bef89aba70f2

[ "MIT" ]

23

2018-11-08T19:16:36.000Z

2021-07-20T23:34:18.000Z

tradssat/tmpl/__init__.py

shreyayadav/traDSSAT

cc9650f896910c0d0a7a382aff36bef89aba70f2

[ "MIT" ]

9

2018-11-06T21:04:07.000Z

2021-06-19T05:43:24.000Z

from .file import File from .input import InpFile from .output import OutFile

19.5

27

0.807692

12

78

5.25

0.583333

0

0.153846

78

3

28

26

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3bffca2792ae24ed464359d14fdd648770ef282e

61

py

Python

tests/__init__.py

skullydazed/rq-dashboard

6096120180d51630e0e6797e65a223098010448d

[ "BSD-2-Clause-FreeBSD" ]

null

tests/__init__.py

skullydazed/rq-dashboard

6096120180d51630e0e6797e65a223098010448d

[ "BSD-2-Clause-FreeBSD" ]

3

2019-07-23T20:01:29.000Z

2019-08-08T15:26:42.000Z

tests/__init__.py

skullydazed/rq-dashboard

6096120180d51630e0e6797e65a223098010448d

[ "BSD-2-Clause-FreeBSD" ]

null

from __future__ import absolute_import from .basic import *

15.25

38

0.819672

8

61

5.625

0.625

0

0.147541

61

3

39

20.333333

0.865385

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ce2fbb3009a0e28eebb9ecabf671e13e63fb3302

111

py

Python

call_code_timer.py

ShuksanGeomatics/Python_Code_Timer

ef6960309adc2a5bbefd5a3d8de9b27d41d908e2

[ "MIT" ]

null

call_code_timer.py

ShuksanGeomatics/Python_Code_Timer

ef6960309adc2a5bbefd5a3d8de9b27d41d908e2

[ "MIT" ]

null

call_code_timer.py

ShuksanGeomatics/Python_Code_Timer

ef6960309adc2a5bbefd5a3d8de9b27d41d908e2

[ "MIT" ]

null

from python_code_timer import gTimer my_timer = gTimer() my_timer.print_start_time() my_timer.print_end_time()

22.2

36

0.837838

19

111

4.421053

0.578947

0.25

0.309524

0

0.081081

111

5

37

22.2

0.823529

0

1

0

false

0

0.25

0

0.25

0.5

1

0

null

1

0

1

0

null

0

1

0

5

ce35e8ddee7e9f04cf46ad336edf1a47c84db2bc

244

py

Python

python_packages/jupyterlab_lsp/jupyterlab_lsp/__init__.py

icankeep/jupyterlab-lsp

34578aef207be97184b72e3d367d12abfc705682

[ "BSD-3-Clause" ]

1,117

2019-08-20T06:03:12.000Z

2021-10-08T20:52:29.000Z

python_packages/jupyterlab_lsp/jupyterlab_lsp/__init__.py

icankeep/jupyterlab-lsp

34578aef207be97184b72e3d367d12abfc705682

[ "BSD-3-Clause" ]

565

2019-08-17T20:09:01.000Z

2021-10-06T15:22:00.000Z

python_packages/jupyterlab_lsp/jupyterlab_lsp/__init__.py

icankeep/jupyterlab-lsp

34578aef207be97184b72e3d367d12abfc705682

[ "BSD-3-Clause" ]

97

2019-09-05T13:23:55.000Z

2021-09-26T05:51:07.000Z

# flake8: noqa: F401 from ._version import __version__ def _jupyter_labextension_paths(): return [ { "src": "labextensions/@krassowski/jupyterlab-lsp", "dest": "@krassowski/jupyterlab-lsp", } ]

20.333333

62

0.594262

21

244

6.52381

0.809524

0.291971

0.335766

0

0.022857

0.282787

244

11

63

22.181818

0.76

0.07377

0

0.325893

0.294643

0

1

0.125

true

0

0.125

0.375

0

1

0

null

1

0

null

0

1

0

1

0

5

ce3ce736faf27f4dbae0ee85ecca9b4a088a3644

1,938

py

Python

douyinspider/download/downloader.py

MisterZhouZhou/pythonThreeSpider

0e120350402f690158c89b7431f243cb462ae12f

[ "Apache-2.0" ]

3

2019-11-05T01:00:05.000Z

2021-03-16T03:56:46.000Z

douyinspider/download/downloader.py

bingwin/pythonThreeSpider

0e120350402f690158c89b7431f243cb462ae12f

[ "Apache-2.0" ]

null

douyinspider/download/downloader.py

bingwin/pythonThreeSpider

0e120350402f690158c89b7431f243cb462ae12f

[ "Apache-2.0" ]

1

2020-05-16T12:45:36.000Z

import urllib # 资源下载类 class Downloader(object): # 初始化路径 def __init__(self, path=None): self.path = path def download_mp4(self, url, video_name): if self.path == None: print('路径不存在') return # 定义url,请求的api try: print("正在下载：{0}".format(video_name)) # 设置header为app环境 opener = urllib.request.build_opener() opener.addheaders = [('User-agent', 'Aweme 3.1.0 rv:31006 (iPhone; iOS 12.0; zh_CN) Cronet')] urllib.request.install_opener(opener) urllib.request.urlretrieve(url, '{0}/{1}.mp4'.format(self.path, video_name)) print("Finish...") except: print("Failed...") def download_mp4_path(self, url, video_name, video_path): # 定义url,请求的api try: print("正在下载：{0}".format(video_name)) # 设置header为app环境 opener = urllib.request.build_opener() opener.addheaders = [('User-agent', 'Aweme 3.1.0 rv:31006 (iPhone; iOS 12.0; zh_CN) Cronet')] urllib.request.install_opener(opener) urllib.request.urlretrieve(url, '{0}/{1}.mp4'.format(video_path, video_name)) print("Finish...") except: print("Failed...") def download_mp3_path(self, url, music_name, music_path): # 定义url,请求的api try: print("正在下载：{0}".format(music_name)) # 设置header为app环境 opener = urllib.request.build_opener() opener.addheaders = [('User-agent', 'Aweme 3.1.0 rv:31006 (iPhone; iOS 12.0; zh_CN) Cronet')] urllib.request.install_opener(opener) urllib.request.urlretrieve(url, '{0}/{1}.mp3'.format(music_path, music_name)) print("Finish...") except: print("Failed...")

35.888889

91

0.533024

211

1,938

4.748815

0.246446

0.116766

0.113772

0.056886

0.773453

0.741517

0.703593

0

0.037037

0.331269

1,938

53

92

36.566038

0.736111

0.04902

0

0.65

0

0.166303

0

1

0.1

false

0

0.025

0

0.175

0.25

0

null

0

1

0

null

0

5

0265ccf7e469c91bda4637228764c94645393793

311

py

Python

test/run/t437.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

2,671

2015-01-03T08:23:25.000Z

2022-03-31T06:15:48.000Z

test/run/t437.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

972

2015-01-05T08:11:00.000Z

2022-03-29T13:47:15.000Z

test/run/t437.py

timmartin/skulpt

2e3a3fbbaccc12baa29094a717ceec491a8a6750

[ "MIT" ]

845

2015-01-03T19:53:36.000Z

2022-03-29T18:34:22.000Z

import re m = re.match('([0-9]+)([a-z]+)([A-Z]*)','345abu') print "\ngroup" print m.group() == '345abu' print m.group(0) == '345abu' print m.group(1) == '345' print m.group(2) == 'abu' print m.group(3) == '' print "\ngroups" print m.groups() == ('345','abu','') print m.groups('default') == ('345','abu','')

20.733333

49

0.549839

50

311

3.42

0.4

0.245614

0.321637

0.19883

0

0.088561

0.128617

311

14

50

22.214286

0.542435

0

0.263666

0.07717

0

null

0

0.090909

null

0.818182

0

null

1

0

null

0

1

0

1

0

5

026e4e48bb719c9d739049335b2fbf1eacecb5b7

1,348

py

Python

cohesivenet/api/vns3/__init__.py

cohesive/python-cohesivenet-sdk

5620acfa669ff97c94d9aa04a16facda37d648c1

[ "MIT" ]

null

cohesivenet/api/vns3/__init__.py

cohesive/python-cohesivenet-sdk

5620acfa669ff97c94d9aa04a16facda37d648c1

[ "MIT" ]

null

cohesivenet/api/vns3/__init__.py

cohesive/python-cohesivenet-sdk

5620acfa669ff97c94d9aa04a16facda37d648c1

[ "MIT" ]

null

from __future__ import absolute_import # flake8: noqa # import apis into api package from cohesivenet.api.vns3.bgp_api import BGPApiRouter as BGPApi from cohesivenet.api.vns3.configuration_api import ( ConfigurationApiRouter as ConfigurationApi, ) from cohesivenet.api.vns3.firewall_api import FirewallApiRouter as FirewallApi from cohesivenet.api.vns3.ipsec_api import IPsecApiRouter as IPsecApi from cohesivenet.api.vns3.interfaces_api import InterfacesApiRouter as InterfacesApi from cohesivenet.api.vns3.licensing_api import LicensingApiRouter as LicensingApi from cohesivenet.api.vns3.monitoring_alerting_api import ( MonitoringAlertingApiRouter as MonitoringAlertingApi, ) from cohesivenet.api.vns3.network_edge_plugins_api import ( NetworkEdgePluginsApiRouter as NetworkEdgePluginsApi, ) from cohesivenet.api.vns3.overlay_network_api import ( OverlayNetworkApiRouter as OverlayNetworkApi, ) from cohesivenet.api.vns3.peering_api import PeeringApiRouter as PeeringApi from cohesivenet.api.vns3.routing_api import RoutingApiRouter as RoutingApi from cohesivenet.api.vns3.snapshots_api import SnapshotsApiRouter as SnapshotsApi from cohesivenet.api.vns3.system_administration_api import ( SystemAdministrationApiRouter as SystemAdministrationApi, ) from cohesivenet.api.vns3.access_api import AccessApiRouter as AccessApi

44.933333

84

0.859792

157

1,348

7.229299

0.375796

0.185022

0.222026

0.271366

0

0.012305

0.095697

1,348

29

85

46.482759

0.918786

0.030415

0

1

0

true

0

0.6

0

0.6

0

null

0

1

0

null

0

1

0

1

0

1

0

5

028044ff995e4bbeaa30a0fc202971c6b2e21be4

199

py

Python

test/tests/incremental_tb_bjit.py

aisk/pyston

ac69cfef0621dbc8901175e84fa2b5cb5781a646

[ "BSD-2-Clause", "Apache-2.0" ]

1

2020-02-06T14:28:45.000Z

test/tests/incremental_tb_bjit.py

aisk/pyston

ac69cfef0621dbc8901175e84fa2b5cb5781a646

[ "BSD-2-Clause", "Apache-2.0" ]

null

test/tests/incremental_tb_bjit.py

aisk/pyston

ac69cfef0621dbc8901175e84fa2b5cb5781a646

[ "BSD-2-Clause", "Apache-2.0" ]

1

2020-02-06T14:29:00.000Z

# This is the same as incremental_tb_bjit.py but tests the baseline JIT. try: import __pyston__ __pyston__.setOption("REOPT_THRESHOLD_INTERPRETER", 1) except: pass import incremental_tb

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24.875

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null

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1

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null

0

1

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5

65f9190f870d1ab75bb1eecb2eb177ef83911cc9

251

py

Python

matchzoo/datasets/__init__.py

freedombenLiu/MatchZoo

b1ba96ac8b84e70952f5787f62272ceef8cea106

[ "Apache-2.0" ]

2

2019-10-04T16:51:36.000Z

2021-06-09T04:43:35.000Z

matchzoo/datasets/__init__.py

ThanhChinhBK/MatchZoo

f77403044bca4ff0a84738921180724a54fd42f9

[ "Apache-2.0" ]

null

matchzoo/datasets/__init__.py

ThanhChinhBK/MatchZoo

f77403044bca4ff0a84738921180724a54fd42f9

[ "Apache-2.0" ]

null

from . import toy from . import wiki_qa from . import embeddings from . import snli from pathlib import Path def list_available(): return [p.name for p in Path(__file__).parent.iterdir() if p.is_dir() and not p.name.startswith('_')]

22.818182

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0.203187

251

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null

1

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null

0

1

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1

0

5

5a7154886bc4d2da8389e9b8dd05cfd7c9b9dc81

90

py

Python

GeneticLib/chromosome.py

GrimRanger/GeneticAlgorithm

93fa476e82d610f8622276526baa269303a058e0

[ "MIT" ]

null

GeneticLib/chromosome.py

GrimRanger/GeneticAlgorithm

93fa476e82d610f8622276526baa269303a058e0

[ "MIT" ]

null

GeneticLib/chromosome.py

GrimRanger/GeneticAlgorithm

93fa476e82d610f8622276526baa269303a058e0

[ "MIT" ]

null

class Chromosome: def __init__(self, gene): self.gene = gene

12.857143

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0.511111

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90

4.666667

0.666667

0.380952

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0.411111

90

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false

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1

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null

0

1

0

1

0

5

5a747a349f523ea28803631069823f0ade19d297

43

py

Python

backend/cloud-run-api/app/config/annotation_config.py

tuxedocat/fast-annotation-tool

2e28e81bf5b383ac033eeae847921d68ed302556

[ "Apache-2.0" ]

24

2021-06-08T06:20:55.000Z

2022-03-24T07:27:08.000Z

backend/cloud-run-api/app/config/annotation_config.py

shunyooo/fast-annotation-tool

0f7b23eb9e664daf33c6ada366ea550996d103b3

[ "Apache-2.0" ]

null

backend/cloud-run-api/app/config/annotation_config.py

shunyooo/fast-annotation-tool

0f7b23eb9e664daf33c6ada366ea550996d103b3

[ "Apache-2.0" ]

6

2021-06-08T02:39:31.000Z

2022-01-08T15:10:01.000Z

import os APP_URL = os.environ["APP_URL"]

10.75

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3.625

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0.139535

43

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14.333333

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null

0

1

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5

5a7e6f56515e9f69f7584048a092da70c58a073b

7,407

py

Python

lib/models/backbones/densenet/densenet_backbone.py

donnyyou/openseg.pytorch

ff55a5d975b7cd806e01ba539db9207d45b0e221

[ "Apache-2.0" ]

5

2020-04-17T01:56:52.000Z

2021-03-04T11:15:09.000Z

lib/models/backbones/densenet/densenet_backbone.py

donnyyou/openseg.pytorch

ff55a5d975b7cd806e01ba539db9207d45b0e221

[ "Apache-2.0" ]

null

lib/models/backbones/densenet/densenet_backbone.py

donnyyou/openseg.pytorch

ff55a5d975b7cd806e01ba539db9207d45b0e221

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- # Author: Donny You(youansheng@gmail.com) from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch.nn as nn from lib.models.backbones.densenet.densenet_models import DenseNetModels class NormalDensenetBackbone(nn.Module): def __init__(self, orig_densenet): super(NormalDensenetBackbone, self).__init__() self.num_features = orig_densenet.num_features # take pretrained resnet, except AvgPool and FC self.conv0 =orig_densenet.features.conv0 self.norm0 =orig_densenet.features.norm0 self.relu0 = orig_densenet.features.relu0 self.pool0 = orig_densenet.features.pool0 self.denseblock1 = orig_densenet.features.denseblock1 self.transition1 = orig_densenet.features.transition1 self.transition1_pool = orig_densenet.features.transition1_pool self.denseblock2 = orig_densenet.features.denseblock2 self.transition2 = orig_densenet.features.transition2 self.transition2_pool = orig_densenet.features.transition2_pool self.denseblock3 = orig_densenet.features.denseblock3 self.transition3 = orig_densenet.features.transition3 self.transition3_pool = orig_densenet.features.transition3_pool self.denseblock4 = orig_densenet.features.denseblock4 self.norm5 = orig_densenet.features.norm5 def get_num_features(self): return self.num_features def forward(self, x): tuple_features = list() x = self.conv0(x) x = self.norm0(x) x = self.relu0(x) x = self.pool0(x) x = self.denseblock1(x) x = self.transition1(x) tuple_features.append(x) x = self.transition1_pool(x) x = self.denseblock2(x) x = self.transition2(x) tuple_features.append(x) x = self.transition2_pool(x) x = self.denseblock3(x) x = self.transition3(x) tuple_features.append(x) x = self.transition3_pool(x) x = self.denseblock4(x) x = self.norm5(x) tuple_features.append(x) return tuple_features class DilatedDensenetBackbone(nn.Module): def __init__(self, orig_densenet, dilate_scale=8): super(DilatedDensenetBackbone, self).__init__() self.num_features = orig_densenet.num_features self.dilate_scale = dilate_scale from functools import partial if dilate_scale == 8: orig_densenet.features.denseblock3.apply(partial(self._conv_dilate, dilate=2)) orig_densenet.features.denseblock4.apply(partial(self._conv_dilate, dilate=4)) elif dilate_scale == 16: orig_densenet.features.denseblock4.apply(partial(self._conv_dilate, dilate=2)) # Take pretrained resnet, except AvgPool and FC self.conv0 = orig_densenet.features.conv0 self.norm0 = orig_densenet.features.norm0 self.relu0 = orig_densenet.features.relu0 self.pool0 = orig_densenet.features.pool0 self.denseblock1 = orig_densenet.features.denseblock1 self.transition1 = orig_densenet.features.transition1 self.transition1_pool = orig_densenet.features.transition1_pool self.denseblock2 = orig_densenet.features.denseblock2 self.transition2 = orig_densenet.features.transition2 self.transition2_pool = orig_densenet.features.transition2_pool self.denseblock3 = orig_densenet.features.denseblock3 self.transition3 = orig_densenet.features.transition3 self.transition3_pool = orig_densenet.features.transition3_pool self.denseblock4 = orig_densenet.features.denseblock4 self.norm5 = orig_densenet.features.norm5 def _conv_dilate(self, m, dilate): classname = m.__class__.__name__ if classname.find('Conv') != -1: # the convolution with stride if m.kernel_size == (3, 3): m.dilation = (dilate, dilate) m.padding = (dilate, dilate) def get_num_features(self): return self.num_features def forward(self, x): tuple_features = list() x = self.conv0(x) x = self.norm0(x) x = self.relu0(x) x = self.pool0(x) x = self.denseblock1(x) x = self.transition1(x) tuple_features.append(x) x = self.transition1_pool(x) x = self.denseblock2(x) x = self.transition2(x) tuple_features.append(x) if self.dilate_scale > 8: x = self.transition2_pool(x) x = self.denseblock3(x) x = self.transition3(x) tuple_features.append(x) if self.dilate_scale > 16: x = self.transition3_pool(x) x = self.denseblock4(x) x = self.norm5(x) tuple_features.append(x) return tuple_features class DenseNetBackbone(object): def __init__(self, configer): self.configer = configer self.densenet_models = DenseNetModels(self.configer) def __call__(self): arch = self.configer.get('network', 'backbone') if arch == 'densenet121': orig_densenet = self.densenet_models.densenet121() arch_net = NormalDensenetBackbone(orig_densenet) elif arch == 'densenet121_dilated8': orig_densenet = self.densenet_models.densenet121() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=8) elif arch == 'densenet121_dilated16': orig_densenet = self.densenet_models.densenet121() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=16) elif arch == 'densenet169': orig_densenet = self.densenet_models.densenet169() arch_net = NormalDensenetBackbone(orig_densenet) elif arch == 'densenet169_dilated8': orig_densenet = self.densenet_models.densenet169() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=8) elif arch == 'densenet169_dilated16': orig_densenet = self.densenet_models.densenet169() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=16) elif arch == 'densenet201': orig_densenet = self.densenet_models.densenet201() arch_net = NormalDensenetBackbone(orig_densenet) elif arch == 'densenet201_dilated8': orig_densenet = self.densenet_models.densenet201() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=8) elif arch == 'densenet201_dilated16': orig_densenet = self.densenet_models.densenet201() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=16) elif arch == 'densenet161': orig_densenet = self.densenet_models.densenet161() arch_net = NormalDensenetBackbone(orig_densenet) elif arch == 'densenet161_dilated8': orig_densenet = self.densenet_models.densenet161() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=8) elif arch == 'densenet161_dilated16': orig_densenet = self.densenet_models.densenet161() arch_net = DilatedDensenetBackbone(orig_densenet, dilate_scale=16) else: raise Exception('Architecture undefined!') return arch_net

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null

0

1

0

1

0

null

0

5

5a887f5dbeb9bcc8fc8c4da9669454334154d567

724

py

Python

rbc/stdlib/array_api.py

tupui/rbc

630805b6a32a1e53883dd8502e9a0679c9923b0b

[ "BSD-3-Clause" ]

1

2019-02-15T14:14:58.000Z

rbc/stdlib/array_api.py

tupui/rbc

630805b6a32a1e53883dd8502e9a0679c9923b0b

[ "BSD-3-Clause" ]

null

rbc/stdlib/array_api.py

tupui/rbc

630805b6a32a1e53883dd8502e9a0679c9923b0b

[ "BSD-3-Clause" ]

null

""" Array API for rbc. """ from .constants import * # noqa: F401, F403 from .creation_functions import * # noqa: F401, F403 from .datatypes import * # noqa: F401, F403 from .data_type_functions import * # noqa: F401, F403 from .elementwise_functions import * # noqa: F401, F403 from .linear_algebra_functions import * # noqa: F401, F403 from .manipulation_functions import * # noqa: F401, F403 from .searching_functions import * # noqa: F401, F403 from .set_functions import * # noqa: F401, F403 from .sorting_functions import * # noqa: F401, F403 from .statistical_functions import * # noqa: F401, F403 from .utility_functions import * # noqa: F401, F403 __all__ = [s for s in dir() if not s.startswith("_")]

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0.174033

724

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false

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null

1

0

null

0

1

0

1

0

5

ce45c71f89b24b8066e13f0aa663053e619f7b25

87

py

Python

merra-2/fetch_helpers.py

meiaalsup/merra-2

2c1164ba3d0ebc969bdfa664575249a6b79d7005

[ "MIT" ]

null

merra-2/fetch_helpers.py

meiaalsup/merra-2

2c1164ba3d0ebc969bdfa664575249a6b79d7005

[ "MIT" ]

null

merra-2/fetch_helpers.py

meiaalsup/merra-2

2c1164ba3d0ebc969bdfa664575249a6b79d7005

[ "MIT" ]

null

def lon_lat_to_coords(lat, lon): return (int((lat+90.0)/.5), int((lon+180)/.625))

21.75

52

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0.705882

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0.126437

87

3

53

29

0.539474

0

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false

0

0.5

1

0

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null

0

1

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null

0

1

0

1

0

5

ce6e99731fcd16d4cf60ff3d5ed25e2253c3e715

130

py

Python

wikipendium/stats/urls.py

stianjensen/wikipendium.no

de07b6cdc15daf350cbf2c1259e20879bf00dc95

[ "Apache-2.0" ]

19

2015-05-18T14:20:53.000Z

2021-04-04T22:46:50.000Z

wikipendium/stats/urls.py

stianjensen/wikipendium.no

de07b6cdc15daf350cbf2c1259e20879bf00dc95

[ "Apache-2.0" ]

132

2015-01-10T14:18:21.000Z

2020-06-15T21:12:29.000Z

wikipendium/stats/urls.py

wikipendium/wikipendium.no

de07b6cdc15daf350cbf2c1259e20879bf00dc95

[ "Apache-2.0" ]

6

2015-05-25T20:33:28.000Z

2020-10-15T17:16:54.000Z

from django.conf.urls import url import wikipendium.stats.views urlpatterns = [ url(r'^$', wikipendium.stats.views.index), ]

18.571429

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130

5.588235

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0.336842

0.442105

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130

6

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21.666667

0.840708

0

0.015385

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false

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1

0

1

0

null

0

1

0

5

ce810399d4ba8727c2204a2a1dbb770a5870fd14

63

py

Python

beam_utils/__init__.py

disdi/beam_utils

c9c938de4773b91586996664034ca82ae4038e69

[ "Apache-2.0" ]

1

2019-07-17T15:00:47.000Z

beam_utils/__init__.py

disdi/beam_utils

c9c938de4773b91586996664034ca82ae4038e69

[ "Apache-2.0" ]

null

beam_utils/__init__.py

disdi/beam_utils

c9c938de4773b91586996664034ca82ae4038e69

[ "Apache-2.0" ]

null

from coders import NoopCoder from sources import CsvFileSource

21

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0.873016

8

63

6.875

0.75

0

0.126984

63

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31.5

1

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true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

ce93a9b4e346475845fbe5ab44565c9ab187b209

128

py

Python

14-files/readline_from_file.py

johnehunt/PythonIntroDS

7e9d5c5494191cd68bc71e140df5fb30290a8da6

[ "Apache-2.0" ]

1

2021-09-20T11:22:47.000Z

14-files/readline_from_file.py

johnehunt/PythonIntroDS

7e9d5c5494191cd68bc71e140df5fb30290a8da6

[ "Apache-2.0" ]

null

14-files/readline_from_file.py

johnehunt/PythonIntroDS

7e9d5c5494191cd68bc71e140df5fb30290a8da6

[ "Apache-2.0" ]

null

# Read one line of data file = open('myfile.txt', 'r') line_of_data = file.readline() print(line_of_data, end='') file.close()

18.285714

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null

1

0

1

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null

0

5

cec2ca0ca8fb872cb7279cb5d59e62c76d037598

9,447

py

Python

patients/migrations/0009_auto_20180302_0209.py

josdavidmo/clinical_records

f344aa3e989731cfae9e921300bd0595e5a2e207

[ "Apache-2.0" ]

null

patients/migrations/0009_auto_20180302_0209.py

josdavidmo/clinical_records

f344aa3e989731cfae9e921300bd0595e5a2e207

[ "Apache-2.0" ]

7

2021-02-08T20:25:23.000Z

2022-03-11T23:31:03.000Z

patients/migrations/0009_auto_20180302_0209.py

josdavidmo/clinical_records

f344aa3e989731cfae9e921300bd0595e5a2e207

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.10 on 2018-03-02 02:09 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('patients', '0008_auto_20180301_0331'), ] operations = [ migrations.AlterField( model_name='clinicalhistory', name='allergic', field=models.TextField(blank=True, null=True, verbose_name='Al\xe9rgicos'), ), migrations.AlterField( model_name='clinicalhistory', name='immunological', field=models.TextField(blank=True, null=True, verbose_name='Inmunol\xf3gicos'), ), migrations.AlterField( model_name='clinicalhistory', name='liqueur', field=models.TextField(blank=True, null=True, verbose_name='Licor'), ), migrations.AlterField( model_name='clinicalhistory', name='obstetric', field=models.TextField(blank=True, null=True, verbose_name='Obst\xe9tricos'), ), migrations.AlterField( model_name='clinicalhistory', name='pathological', field=models.TextField(blank=True, null=True, verbose_name='Patol\xf3gicos'), ), migrations.AlterField( model_name='clinicalhistory', name='permanent_medication', field=models.TextField(blank=True, null=True, verbose_name='Medicamentos permanentes'), ), migrations.AlterField( model_name='clinicalhistory', name='poisoning', field=models.TextField(blank=True, null=True, verbose_name='Intoxicaciones'), ), migrations.AlterField( model_name='clinicalhistory', name='psychoactive', field=models.TextField(blank=True, null=True, verbose_name='Psicoactivos'), ), migrations.AlterField( model_name='clinicalhistory', name='relatives', field=models.TextField(blank=True, null=True, verbose_name='Familiares'), ), migrations.AlterField( model_name='clinicalhistory', name='smoking', field=models.TextField(blank=True, null=True, verbose_name='Tabaquismo'), ), migrations.AlterField( model_name='clinicalhistory', name='surgical', field=models.TextField(blank=True, null=True, verbose_name='Quir\xfargicos'), ), migrations.AlterField( model_name='clinicalhistory', name='transfusions', field=models.TextField(blank=True, null=True, verbose_name='Transfusiones'), ), migrations.AlterField( model_name='clinicalhistory', name='traumatic', field=models.TextField(blank=True, null=True, verbose_name='Traum\xe1ticos'), ), migrations.AlterField( model_name='medicalhistory', name='companion', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Acompa\xf1ante'), ), migrations.AlterField( model_name='medicalhistory', name='created_at', field=models.DateTimeField(db_index=True, verbose_name='Fecha y hora'), ), migrations.AlterField( model_name='medicalhistory', name='current_illness', field=models.TextField(blank=True, null=True, verbose_name='Enfermedad actual'), ), migrations.AlterField( model_name='medicalhistory', name='reason_consultation', field=models.TextField(verbose_name='Raz\xf3n de consulta'), ), migrations.AlterField( model_name='medicalhistory', name='referred_by', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Referido por'), ), migrations.AlterField( model_name='medicalhistory', name='remission', field=models.TextField(blank=True, null=True, verbose_name='Remisi\xf3n'), ), migrations.AlterField( model_name='physicalexam', name='cardiovascular', field=models.TextField(blank=True, null=True, verbose_name='Cardiovascular'), ), migrations.AlterField( model_name='physicalexam', name='chest', field=models.TextField(blank=True, null=True, verbose_name='T\xf3rax'), ), migrations.AlterField( model_name='physicalexam', name='digestive', field=models.TextField(blank=True, null=True, verbose_name='Digestivo'), ), migrations.AlterField( model_name='physicalexam', name='genitourinary', field=models.TextField(blank=True, null=True, verbose_name='Genito-urinario'), ), migrations.AlterField( model_name='physicalexam', name='head', field=models.TextField(blank=True, null=True, verbose_name='Cabeza'), ), migrations.AlterField( model_name='physicalexam', name='mammary_gland', field=models.TextField(blank=True, null=True, verbose_name='Mamas'), ), migrations.AlterField( model_name='physicalexam', name='mental_sphere', field=models.TextField(blank=True, null=True, verbose_name='Esfera mental'), ), migrations.AlterField( model_name='physicalexam', name='neck_thyroid', field=models.TextField(blank=True, null=True, verbose_name='Cuello - Tiroides'), ), migrations.AlterField( model_name='physicalexam', name='orl', field=models.TextField(blank=True, null=True, verbose_name='O.R.L'), ), migrations.AlterField( model_name='physicalexam', name='osteomuscular', field=models.TextField(blank=True, null=True, verbose_name='Osteomuscular'), ), migrations.AlterField( model_name='physicalexam', name='respiratory', field=models.TextField(blank=True, null=True, verbose_name='Respiratorio'), ), migrations.AlterField( model_name='physicalexam', name='senses_organs', field=models.TextField(blank=True, null=True, verbose_name='Organos de los sentidos'), ), migrations.AlterField( model_name='physicalexam', name='skin_faneras', field=models.TextField(blank=True, null=True, verbose_name='Piel y Faneras'), ), migrations.AlterField( model_name='physicalexam', name='snc_peripheral', field=models.TextField(blank=True, null=True, verbose_name='SNC y Periferico'), ), migrations.AlterField( model_name='physicalexam', name='weight', field=models.TextField(blank=True, null=True, verbose_name='Peso'), ), migrations.AlterField( model_name='systemsreview', name='cardiovascular', field=models.TextField(blank=True, null=True, verbose_name='Cardio-vascular'), ), migrations.AlterField( model_name='systemsreview', name='digestive', field=models.TextField(blank=True, null=True, verbose_name='Digestivo'), ), migrations.AlterField( model_name='systemsreview', name='endocrine', field=models.TextField(blank=True, null=True, verbose_name='Endocrino'), ), migrations.AlterField( model_name='systemsreview', name='genitourinary', field=models.TextField(blank=True, null=True, verbose_name='Genito-urinario'), ), migrations.AlterField( model_name='systemsreview', name='hematic_lymphatic', field=models.TextField(blank=True, null=True, verbose_name='Hem\xe1tico y Linf\xe1tico'), ), migrations.AlterField( model_name='systemsreview', name='locomotor', field=models.TextField(blank=True, null=True, verbose_name='Locomotor'), ), migrations.AlterField( model_name='systemsreview', name='orl', field=models.TextField(blank=True, null=True, verbose_name='O.R.L'), ), migrations.AlterField( model_name='systemsreview', name='respiratory', field=models.TextField(blank=True, null=True, verbose_name='Respiratorio'), ), migrations.AlterField( model_name='systemsreview', name='senses_organs', field=models.TextField(blank=True, null=True, verbose_name='Organos de los Sentidos'), ), migrations.AlterField( model_name='systemsreview', name='skin_faneras', field=models.TextField(blank=True, null=True, verbose_name='Piel y Faneras'), ), migrations.AlterField( model_name='systemsreview', name='snc_peripheral', field=models.TextField(blank=True, null=True, verbose_name='SNC y Periferico'), ), ]

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0c866d067bca606e5fcc4ab5da42ef355c78b021

34,734

py

Python

rule_sets_similarity.py

brsynth/RetroPathRL

80c6a70d94e58227839546e308c12dea43a08d3b

[ "MIT" ]

21

2019-11-04T15:16:46.000Z

2022-02-28T09:46:21.000Z

rule_sets_similarity.py

brsynth/RetroPathRL

80c6a70d94e58227839546e308c12dea43a08d3b

[ "MIT" ]

10

2020-01-13T08:18:29.000Z

2022-03-07T12:48:03.000Z

rule_sets_similarity.py

brsynth/RetroPathRL

80c6a70d94e58227839546e308c12dea43a08d3b

[ "MIT" ]

10

2020-01-29T11:46:58.000Z

2022-03-22T03:00:32.000Z

""" Contains the rules examples that will be used throughout the tests. The aim is to """ import logging import csv import pickle import os from rdkit import Chem, RDLogger from rdkit.Chem import AllChem # To standardise compounds before calculating the said ECFPs from utilities.reactor.Core import RuleBurnerCore from utilities.reactor.Utils import standardize_chemical, standardize_results, handle_results, ChemConversionError from config import * all_ecfps = {} rule_10_subset_address = "{}/tests/data/rules_r10_subset.tsv".format(os.path.dirname(os.path.abspath(__file__))) applicable_rules_10_dict_sim = {} with open(rule_10_subset_address, "r") as csv_file: fieldnames = ["Rule_ID", "Reaction_ID", "Diameter", "Direction", "Rule_order", "Rule_SMARTS", "Substrate_ID", "Substrate_SMILES", "Product_IDs", "Product_SMILES", "Rule_SMILES", "Rule_SMARTS_lite"] csv_reader = csv.DictReader(csv_file, delimiter = '\t', fieldnames = fieldnames) next(csv_reader) # skip first line for element in csv_reader: applicable_rules_10_dict_sim[element["Rule_ID"]] = {"Rule_SMARTS": element["Rule_SMARTS"], "biological_score": 1, "EC_number": ["EC: None"], "Rule_SMILES": element["Rule_SMILES"]} # Obtaining substrate ECFP: if element["Substrate_ID"] in all_ecfps.keys(): ECFP = all_ecfps[element["Substrate_ID"]] else: rd_mol = Chem.MolFromSmiles(element["Substrate_SMILES"], sanitize=False) # Important: Sanitize = False rd_mol = standardize_chemical(rd_mol, add_hs=True, rm_stereo=True) ECFP = AllChem.GetMorganFingerprintAsBitVect(rd_mol, radius = 2, nBits=1024, useFeatures = False, useChirality = False) all_ecfps[element["Substrate_ID"]] = ECFP applicable_rules_10_dict_sim[element["Rule_ID"]]["substrate_ECFP"] = [ECFP] product_names = element["Product_IDs"].split(".") product_smiles = element["Product_SMILES"].split(".") applicable_rules_10_dict_sim[element["Rule_ID"]]["products_ECFP"] = [] for i in range(len(product_smiles)): if product_names[i] in all_ecfps.keys(): ECFP = all_ecfps[product_names[i]] else: rd_mol = Chem.MolFromSmiles(product_smiles[i], sanitize=False) # Important: Sanitize = False rd_mol = standardize_chemical(rd_mol, add_hs=True, rm_stereo=True) ECFP = AllChem.GetMorganFingerprintAsBitVect(rd_mol, radius = 2, nBits=1024, useFeatures = False, useChirality = False) all_ecfps[product_names[i]] = ECFP applicable_rules_10_dict_sim[element["Rule_ID"]]["products_ECFP"].append(ECFP) applicable_rules_10_dict_sim[element["Rule_ID"]]["products_ECFP"] = [applicable_rules_10_dict_sim[element["Rule_ID"]]["products_ECFP"]] rule_mixed_subset_address = "{}/tests/data/rules_mixed_subset.tsv".format(os.path.dirname(os.path.abspath(__file__))) applicable_rules_mixed_dict_sim = {} with open(rule_mixed_subset_address, "r") as csv_file: fieldnames = ["Rule_ID", "Reaction_ID", "Diameter", "Direction", "Rule_order", "Rule_SMARTS", "Substrate_ID", "Substrate_SMILES", "Product_IDs", "Product_SMILES", "Rule_SMILES", "Rule_SMARTS_lite"] csv_reader = csv.DictReader(csv_file, delimiter = '\t', fieldnames = fieldnames) next(csv_reader) # skip first line for element in csv_reader: applicable_rules_mixed_dict_sim[element["Rule_ID"]] = {"Rule_SMARTS": element["Rule_SMARTS"], "biological_score": 1, "EC_number": ["EC: None"], "Rule_SMILES": element["Rule_SMILES"]} if element["Substrate_ID"] in all_ecfps.keys(): ECFP = all_ecfps[element["Substrate_ID"]] else: rd_mol = Chem.MolFromSmiles(element["Substrate_SMILES"], sanitize=False) # Important: Sanitize = False rd_mol = standardize_chemical(rd_mol, add_hs=True, rm_stereo=True) ECFP = AllChem.GetMorganFingerprintAsBitVect(rd_mol, radius = 2, nBits=1024, useFeatures = False, useChirality = False) all_ecfps[element["Substrate_ID"]] = ECFP applicable_rules_mixed_dict_sim[element["Rule_ID"]]["substrate_ECFP"] = [ECFP] product_names = element["Product_IDs"].split(".") product_smiles = element["Product_SMILES"].split(".") applicable_rules_mixed_dict_sim[element["Rule_ID"]]["products_ECFP"] = [] for i in range(len(product_smiles)): if product_names[i] in all_ecfps.keys(): ECFP = all_ecfps[product_names[i]] else: rd_mol = Chem.MolFromSmiles(product_smiles[i], sanitize=False) # Important: Sanitize = False rd_mol = standardize_chemical(rd_mol, add_hs=True, rm_stereo=True) ECFP = AllChem.GetMorganFingerprintAsBitVect(rd_mol, radius = 2, nBits=1024, useFeatures = False, useChirality = False) all_ecfps[product_names[i]] = ECFP applicable_rules_mixed_dict_sim[element["Rule_ID"]]["products_ECFP"].append(ECFP) applicable_rules_mixed_dict_sim[element["Rule_ID"]]["products_ECFP"] = [applicable_rules_mixed_dict_sim[element["Rule_ID"]]["products_ECFP"]] folder_for_data = "{}/{}".format(data_path, "rules") with open("{}/{}.pkl".format(folder_for_data, "full_rules_forward_H"), "rb") as pickle_handler: full_rules_forward_H = pickle.load(pickle_handler) with open("{}/{}.pkl".format(folder_for_data, "full_rules_retro_H"), "rb") as pickle_handler: full_rules_retro_H = pickle.load(pickle_handler) with open("{}/{}.pkl".format(folder_for_data, "full_rules_forward_no_H"), "rb") as pickle_handler: full_rules_forward_no_H = pickle.load(pickle_handler) with open("{}/{}.pkl".format(folder_for_data, "full_rules_retro_no_H"), "rb") as pickle_handler: full_rules_retro_no_H = pickle.load(pickle_handler) # Information below is used when small is activated. TPA_keys = [ 'RR-01-ff15c6f282fb-10-F_10', 'RR-01-7467598facd5-10-F_10', 'RR-01-eced43368870-10-F_10', 'RR-01-4be04021e193-10-F_10', 'RR-01-855e527e8dac-10-F_10', 'RR-01-be6c9619b09d-10-F_10', 'RR-01-6d06e27aef2e-10-F_10', 'RR-01-ba2eb2715516-10-F_10', 'RR-01-3791e719f852-10-F_10', 'RR-01-c7ebbe91808e-10-F_10', 'RR-01-2ebdcd7010bd-10-F_10', 'RR-01-f765514b772f-10-F_10', 'RR-01-3545d6ed7403-10-F_10', 'RR-01-2c7b5bc4bd50-10-F_10', 'RR-01-56602d66630b-10-F_10', 'RR-01-0b9242207244-10-F_10', 'RR-01-6ae5e8c91fd8-10-F_10', 'RR-01-73e66a22ce11-10-F_10', 'RR-01-a397b384391a-10-F_10', 'RR-01-bdfadc58b5a9-10-F_10', 'RR-01-398ea892cfda-10-F_10', 'RR-01-d55dd578e73e-10-F_10', 'RR-01-4c79f297821e-10-F_10', 'RR-01-ec985dcd998f-10-F_10', 'RR-01-f88421e31b7f-10-F_10', 'RR-01-c05e8a6eaa8e-10-F_10', 'RR-01-439c65246142-10-F_10', 'RR-01-915d8ffeafc7-10-F_10', 'RR-01-1312d40b0eca-10-F_10', 'RR-01-db16fa6490be-10-F_10', 'RR-01-211fa91ad9f6-10-F_10', 'RR-01-d3a021cc85d1-10-F_10', 'RR-01-f348f5dd6f53-10-F_10', 'RR-01-6402887eee8c-12-F_12', 'RR-01-1b0e63da9155-10-F_10', 'RR-01-eef619ff8017-10-F_10'] TPA_16_keys = [ 'RR-02-0b92422072445abd-16-F', 'RR-02-a397b384391a4069-16-F', 'RR-02-ff15c6f282fb8c05-10-F', 'RR-02-7467598facd5dc87-10-F', 'RR-02-eced43368870d3d5-10-F', 'RR-02-4be04021e1933793-10-F', 'RR-02-855e527e8dacdf66-10-F', 'RR-02-be6c9619b09df557-16-F', 'RR-02-6d06e27aef2ecfca-10-F', 'RR-02-ba2eb2715516342a-10-F', 'RR-02-2ebdcd7010bd7d71-10-F', 'RR-02-3545d6ed74034d56-16-F', 'RR-02-2c7b5bc4bd503c71-16-F', 'RR-02-56602d66630bcfc3-16-F', 'RR-02-6ae5e8c91fd8d8af-16-F', 'RR-02-73e66a22ce113ef0-16-F', 'RR-02-bdfadc58b5a9d059-16-F', 'RR-02-398ea892cfda59a1-16-F', 'RR-02-d55dd578e73e0d77-16-F', 'RR-02-4c79f297821e39c8-16-F', 'RR-02-ec985dcd998f1ad5-16-F', 'RR-02-f88421e31b7f840d-10-F', 'RR-02-c05e8a6eaa8e5d7b-10-F', 'RR-02-439c65246142bb8d-16-F', 'RR-02-eef619ff80171bb9-10-F', 'RR-02-1b0e63da91559964-10-F', 'RR-02-915d8ffeafc759e3-16-F', 'RR-02-1312d40b0eca0500-10-F', 'RR-02-db16fa6490be4edc-16-F', 'RR-02-211fa91ad9f6118e-16-F', 'RR-02-d3a021cc85d1df38-10-F', 'RR-02-f348f5dd6f534894-10-F', 'RR-02-6402887eee8ccf7f-12-F' ] TPA_keys_archive = ['MNXR10030_MNXM1095', 'MNXR11026_MNXM217', 'MNXR14800_MNXM1095', 'MNXR14815_MNXM217', 'MNXR14815_MNXM26', 'MNXR15002_MNXM1403', 'MNXR15002_MNXM438', 'MNXR17596_MNXM217', 'MNXR17596_MNXM60', 'MNXR17596_MNXM2734', 'MNXR7145_MNXM438', 'MNXR7162_MNXM29', 'MNXR7162_MNXM371', 'MNXR7162_MNXM4645', 'MNXR8092_MNXM1095', 'MNXR8092_MNXM987', 'MNXR8092_MNXM3766', 'MNXR8092_MNXM438', 'MNXR81819_MNXM1132', 'MNXR81819_MNXM240', 'MNXR81819_MNXM92', 'MNXR84236_MNXM217', 'MNXR84236_MNXM92', 'MNXR84236_MNXM240', 'MNXR87313_MNXM1095', 'MNXR87313_MNXM210', 'MNXR93560_MNXM210', 'MNXR93560_MNXM4645', 'MNXR9766_MNXM217', 'MNXR4531_MNXM3500', 'MNXR242_MNXM4077', 'MNXR16010_MNXM3331'] violacein_keys = [ 'RR-01-73b9e2dc9ddf-12-F_12', 'RR-01-40f5dd9f4609-12-F_12', 'RR-01-3ab86ef33d83-12-F_12', 'RR-01-3d2f047d8c5d-12-F_12', 'RR-01-6cd1048f02ac-12-F_12', 'RR-01-79b5cb776128-12-F_12', 'RR-01-ddd8913a0977-12-F_12', 'RR-01-c8f4eb4b319f-12-F_12', 'RR-01-f46c2cc731e3-12-F_12', 'RR-01-1dacab2272d6-12-F_12', 'RR-01-96b3271dca32-12-F_12', 'RR-01-dba62271635d-12-F_12', 'RR-01-6f464e721366-12-F_12', 'RR-01-22668a073a24-12-F_12', 'RR-01-7bf8c911187c-12-F_12', 'RR-01-eb021cb9b45f-12-F_12', 'RR-01-ea0941b7e233-12-F_12', 'RR-01-b8a979b1e0af-12-F_12', 'RR-01-b416c220e769-12-F_12', 'RR-01-b761dec4bc0b-12-F_12'] violacein_16_keys = [ 'RR-02-73b9e2dc9ddf8783-12-F', 'RR-02-40f5dd9f46097fca-12-F', 'RR-02-ddd8913a09771dc1-16-F', 'RR-02-c8f4eb4b319f1271-16-F', 'RR-02-f46c2cc731e3f3e6-12-F', 'RR-02-1dacab2272d62122-12-F', 'RR-02-96b3271dca322f14-12-F', 'RR-02-dba62271635df6d8-12-F', 'RR-02-6f464e721366959e-16-F', 'RR-02-22668a073a248f56-16-F', 'RR-02-7bf8c911187cfdb8-16-F', 'RR-02-eb021cb9b45f1c77-16-F', 'RR-02-ea0941b7e2330bb7-12-F', 'RR-02-b8a979b1e0aff9db-12-F', 'RR-02-b416c220e7694280-16-F', 'RR-02-b761dec4bc0b6d69-16-F', 'RR-02-efb2ae8a1e477ce7-02-F' ] violacein_keys_archive = ['MNXR2613_MNXM1378', 'MNXR62938_MNXM97338', 'MNXR62939_MNXM97621', 'MNXR62940_MNXM88916', 'MNXR62941_MNXM97503', 'MNXR62942_MNXM98206', 'MNXR62943_MNXM98911', 'MNXR62944_MNXM98919', 'MNXR76570_MNXM10640', 'MNXR85789_MNXM316', 'MNXR85789_MNXM61', 'MNXR85789_MNXM7216', 'MNXR87814_MNXM10640', 'MNXR87814_MNXM97268'] styrene_keys = [ 'RR-01-3545d6ed7403-16-F_16', 'RR-01-2c7b5bc4bd50-16-F_16', 'RR-01-90b72f2f7271-16-F_16', 'RR-01-86e6fb5af7e7-16-F_16', 'RR-01-d55dd578e73e-16-F_16', 'RR-01-4c79f297821e-16-F_16', 'RR-01-9ea719dd7a38-16-F_16', 'RR-01-f71a10986373-16-F_16', 'RR-01-c63f6198a7e6-16-F_16', 'RR-01-90207d9c857e-16-F_16', 'RR-01-5f2baf1968dc-16-F_16', 'RR-01-051398bdbd09-16-F_16', 'RR-01-285481018aad-16-F_16', 'RR-01-ec985dcd998f-16-F_16', 'RR-01-a5663bfcd012-16-F_16', 'RR-01-e90f89cdba81-16-F_16', 'RR-01-439c65246142-16-F_16', 'RR-01-438622e469b9-16-F_16', 'RR-01-0ce86297b8a0-16-F_16', 'RR-01-7f682d0b3544-16-F_16', 'RR-01-caf68bc1dcd9-16-F_16', 'RR-01-80cb6058ffaf-16-F_16', 'RR-01-fd0c6fc209da-16-F_16', 'RR-01-4f0ee4666374-16-F_16', 'RR-01-0da874351cfe-16-F_16', 'RR-01-2ab0796934b2-16-F_16', 'RR-01-c3ec74eeb9cb-16-F_16', 'RR-01-80c1be875426-16-F_16', 'RR-01-0d46c69dc939-16-F_16', 'RR-01-564c599b8a7d-16-F_16', 'RR-01-0ba3992e57de-16-F_16', 'RR-01-e7e3ea6fcb2e-16-F_16'] styrene_16_keys = [ 'RR-02-3545d6ed74034d56-16-F', 'RR-02-2c7b5bc4bd503c71-16-F', 'RR-02-d55dd578e73e0d77-16-F', 'RR-02-4c79f297821e39c8-16-F', 'RR-02-051398bdbd090ac0-16-F', 'RR-02-285481018aad5970-16-F', 'RR-02-ec985dcd998f1ad5-16-F', 'RR-02-439c65246142bb8d-16-F', 'RR-02-c3ec74eeb9cbf299-16-F', 'RR-02-80c1be875426e6d6-16-F', 'RR-02-c63f6198a7e6f821-16-F', 'RR-02-438622e469b97ba2-16-F', 'RR-02-caf68bc1dcd9ce0f-16-F', 'RR-02-80cb6058ffaff5b7-16-F', 'RR-02-0ba3992e57dea8f9-16-F', 'RR-02-e7e3ea6fcb2e454e-16-F', 'RR-02-90207d9c857ede9f-16-F', 'RR-02-4f0ee46663746d19-16-F', 'RR-02-0d46c69dc9394d1e-16-F', 'RR-02-564c599b8a7d6009-16-F', 'RR-02-90b72f2f72710436-16-F', 'RR-02-86e6fb5af7e720f6-16-F', 'RR-02-9ea719dd7a385419-16-F', 'RR-02-f71a109863731e17-16-F', 'RR-02-5f2baf1968dcb2a8-16-F', 'RR-02-a5663bfcd012ad53-16-F', 'RR-02-e90f89cdba81cdae-16-F', 'RR-02-0ce86297b8a08bd6-16-F', 'RR-02-7f682d0b3544ff05-16-F', 'RR-02-fd0c6fc209da098a-16-F', 'RR-02-0da874351cfe02c9-16-F', 'RR-02-2ab0796934b264ab-16-F' ] styrene_keys_archive = ['MNXR10030_MNXM1095', 'MNXR14800_MNXM1095', 'MNXR14852_MNXM4534', 'MNXR15002_MNXM438', 'MNXR20707_MNXM8128', 'MNXR23023_MNXM2434', 'MNXR23044_MNXM438', 'MNXR6957_MNXM2108', 'MNXR7145_MNXM438', 'MNXR7765_MNXM2787', 'MNXR8092_MNXM438', 'MNXR8581_MNXM2034', 'MNXR86322_MNXM890', 'MNXR87207_MNXM987', 'MNXR87313_MNXM1095', 'MNXR93681_MNXM438', 'MNXR94080_MNXM2434'] pinocembrin_keys = [ 'RR-01-ccf71c47bb9d-12-F_12', 'RR-01-0c8072624504-12-F_12', 'RR-01-1c5839a0ab53-12-F_12', 'RR-01-f8a09ffeaff2-12-F_12', 'RR-01-89f31ace6816-12-F_12', 'RR-01-3545d6ed7403-12-F_12', 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pinocembrin_16_keys = [ 'RR-02-3545d6ed74034d56-16-F', 'RR-02-2c7b5bc4bd503c71-16-F', 'RR-02-90c8db21b14a0cdd-16-F', 'RR-02-7a232ac9d78ddca1-16-F', 'RR-02-8cc405a7228a62f2-16-F', 'RR-02-94c48631eb63e101-16-F', 'RR-02-9b87c1cf20bf1721-16-F', 'RR-02-ccf71c47bb9df145-12-F', 'RR-02-0c8072624504c7b6-12-F', 'RR-02-1c5839a0ab53e203-12-F', 'RR-02-f8a09ffeaff2866a-12-F', 'RR-02-89f31ace6816319f-12-F', 'RR-02-84f2d75c7006398e-16-F', 'RR-02-d8260cc3748381a8-16-F', 'RR-02-5d0e22c36664b1a9-12-F', 'RR-02-619f5488435db48a-12-F', 'RR-02-ace320d40808fb1e-12-F', 'RR-02-1eef64c0807c929d-12-F', 'RR-02-fcfba06ea22ecd80-16-F', 'RR-02-0ad3ebab6842f767-16-F', 'RR-02-e00ad30f92ef189d-12-F', 'RR-02-0bdebd00152790b2-12-F', 'RR-02-be7eaf23b012eaa1-12-F', 'RR-02-fa55268991642d87-12-F', 'RR-02-698e74ec6c012ee8-12-F', 'RR-02-2feefffd698ec847-12-F', 'RR-02-4a2d24769cd20003-16-F', 'RR-02-fe4dd69d1d04fe31-16-F', 'RR-02-d9836ab8784e7c31-16-F', 'RR-02-8cee5d752624b8ec-16-F', 'RR-02-d6480cb0e6c1ddfa-12-F', 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'RR-01-7c7ab7ac6b98-16-F_16', 'RR-01-6fec6966f1f2-16-F_16', 'RR-01-36bb1f194ab4-16-F_16', 'RR-01-643b041ce09c-16-F_16', 'RR-01-db0cdb3811be-16-F_16', 'RR-01-e68f663510b3-16-F_16', 'RR-01-bfbf4361736f-16-F_16'] ethylene_16_keys = [ 'RR-02-ba1333507ae6006e-16-F', 'RR-02-c8661b3fd89f1ba4-16-F', 'RR-02-056cd46e7fbe267e-16-F', 'RR-02-347b66837a93582a-16-F', 'RR-02-0a1283e064f61a88-16-F', 'RR-02-0590ce05c110cf1a-16-F', 'RR-02-f11ba70e708f7f3e-16-F', 'RR-02-6059f029037e4eb4-16-F', 'RR-02-3c44623b991f1a2b-16-F', 'RR-02-0933bc9cdbc054bc-16-F', 'RR-02-06663cb0780a094c-16-F', 'RR-02-746e3ff5aa9c9fe9-16-F', 'RR-02-4aa0893bf4c817a5-16-F', 'RR-02-ee7ccc9f62967de0-16-F', 'RR-02-8226f8c194dae8a7-16-F', 'RR-02-4d6f36c61098de06-16-F', 'RR-02-a4e51784e182a017-16-F', 'RR-02-1ff6dce7b962afe3-16-F', 'RR-02-76e374dd28d81248-16-F', 'RR-02-3f7be56e3f9f187f-16-F', 'RR-02-ce0036d18be1cbb7-16-F', 'RR-02-d386eb98d569f14f-16-F', 'RR-02-19b55fc4074ea7a7-16-F', 'RR-02-993c9253f78c19bf-16-F', 'RR-02-4d30d6315e8e8d0e-16-F', 'RR-02-69bd577ca2f4d10e-16-F', 'RR-02-6be59bc48287ff0a-16-F', 'RR-02-a609d1ef085df966-16-F', 'RR-02-91911ecdb81cbdbc-16-F', 'RR-02-094f718f9fbf3087-16-F', 'RR-02-65c0adfb547ca69b-16-F', 'RR-02-8818dea65ff31cc5-16-F', 'RR-02-dc579a8e1f8ce4a0-16-F', 'RR-02-af8d6139571f9b75-16-F', 'RR-02-e810bb4aa2b8d414-16-F', 'RR-02-92ea06368d8a1330-16-F', 'RR-02-7a86b7668b9e0fc8-16-F', 'RR-02-ac6d35e02a432ef2-16-F', 'RR-02-3b31aefba79f28f5-16-F', 'RR-02-1e8e39bd86441957-16-F', 'RR-02-721183f2c545804f-16-F', 'RR-02-8b4324fcfd2b0746-16-F', 'RR-02-6fec6966f1f28405-16-F', 'RR-02-b618db3f535a34a5-16-F', 'RR-02-5bed8bcb898a8d24-16-F', 'RR-02-c89a1f53ed771996-16-F', 'RR-02-340f1860db055af1-16-F', 'RR-02-6f335b33a0a1be9d-16-F', 'RR-02-466420eb1f9fce92-16-F', 'RR-02-b052b51fefa9ce67-16-F', 'RR-02-8c1d80d26269af63-16-F', 'RR-02-6122c11077a9006c-16-F', 'RR-02-38bbc744ca2ac0b7-16-F', 'RR-02-f75e0e113579efa6-16-F', 'RR-02-47ecc93f52bc6e0b-16-F', 'RR-02-53f7dd11428601d8-16-F', 'RR-02-b87dd759d81bf89d-16-F', 'RR-02-3f6b8212b11c301c-16-F', 'RR-02-17f237b35b9c36c7-16-F', 'RR-02-ba05f56e7531b8ac-16-F', 'RR-02-c469571bf5dd3260-16-F', 'RR-02-757af66bae9301da-16-F', 'RR-02-0be9b0efc9e1b2d8-16-F', 'RR-02-3d3a456f054a2c75-16-F', 'RR-02-db0cdb3811bef3dd-16-F', 'RR-02-4567117770408ba1-16-F', 'RR-02-234e5a367f8d232a-16-F', 'RR-02-c3ec74eeb9cbf299-16-F', 'RR-02-80c1be875426e6d6-16-F', 'RR-02-fec67f6f4132cc0f-16-F', 'RR-02-14c9ef7ac8a2dc03-16-F', 'RR-02-2ab116f84d68e043-16-F', 'RR-02-469888aee72fbb8a-16-F', 'RR-02-c2c66cedf094533b-16-F', 'RR-02-cc9f5226009ba6e4-16-F', 'RR-02-289a74d34301b7af-16-F', 'RR-02-b62f37c6a404e83b-16-F', 'RR-02-e68f663510b3eadd-16-F', 'RR-02-bfbf4361736f996c-16-F', 'RR-02-d71acaf8e1fdd557-16-F', 'RR-02-1c5e2dd6014de992-16-F', 'RR-02-fe69aaf88d7c454a-16-F', 'RR-02-b8b5ef05dd6f8e12-16-F', 'RR-02-b4b4e7eff745e093-16-F', 'RR-02-7508e4dad8539dd3-16-F', 'RR-02-60c1aab00243be07-16-F', 'RR-02-052f180261baa23b-16-F', 'RR-02-2355de6b0a7f41ac-16-F', 'RR-02-73f4f0b40f22ed86-16-F', 'RR-02-42464e412b6a0366-16-F', 'RR-02-a27c101216726bd7-16-F', 'RR-02-4004b7ea811f0604-16-F', 'RR-02-2704be5eea79b7ae-16-F', 'RR-02-7e4de265f24b8a72-16-F', 'RR-02-d60e6efb94fb68b8-16-F', 'RR-02-40f28277bfc5ea8e-16-F', 'RR-02-4fe900904d0a9c85-16-F', 'RR-02-36bb1f194ab4866c-16-F', 'RR-02-cae9afc75fedcd22-16-F', 'RR-02-a15388df9112c5a6-16-F', 'RR-02-afeda5dd9e00d9da-16-F', 'RR-02-2fa9f69671f306d2-16-F', 'RR-02-5d459efbf36a1961-16-F', 'RR-02-0b06353b386ca535-16-F', 'RR-02-eddc4c82bc7f81b9-16-F', 'RR-02-d56f2788cec92217-16-F', 'RR-02-aa26c97ac100aa1a-16-F', 'RR-02-5549dac72492db6a-16-F', 'RR-02-03b5810baa310776-16-F', 'RR-02-3ba0719fa57afbea-16-F', 'RR-02-7c7ab7ac6b98a074-16-F', 'RR-02-b8b0271c31114118-16-F', 'RR-02-71834150ed737cbd-16-F', 'RR-02-6454a14b930bbb33-16-F', 'RR-02-b9ad3b92215e315a-16-F', 'RR-02-f2fb1c5efcb7140f-16-F', 'RR-02-bcd763d5f2e046be-16-F', 'RR-02-f59041f27577b37f-16-F', 'RR-02-860446453e33268d-16-F', 'RR-02-10c14f73d7c8d87e-16-F', 'RR-02-b76dd8e8d3e128df-16-F', 'RR-02-910859fe14f15abd-16-F', 'RR-02-b8ac6a83aeabdedd-16-F', 'RR-02-c8d7128110cc42d5-16-F', 'RR-02-ad1fcf135fe71ea3-16-F', 'RR-02-1c65c477fa187bde-16-F', 'RR-02-5329306871553552-16-F', 'RR-02-ab535f7af6f93fe1-16-F', 'RR-02-d3ff173f19d968c7-16-F', 'RR-02-e14ce618aee8279a-16-F', 'RR-02-085db4297707abff-16-F', 'RR-02-c5375175a751e58d-16-F', 'RR-02-031bd961221f7136-16-F', 'RR-02-40baa9f9769c49bd-16-F', 'RR-02-dd377c6c9f41d292-16-F' ] ethylene_keys_archive = ['MNXR10316_MNXM977', 'MNXR14888_MNXM3270', 'MNXR16111_MNXM2550', 'MNXR16150_MNXM977', 'MNXR16310_MNXM2550', 'MNXR16310_MNXM3270', 'MNXR25094_MNXM2550', 'MNXR25094_MNXM977', 'MNXR77370_MNXM3270', 'MNXR8187_MNXM977', 'MNXR85539_MNXM977', 'MNXR87706_MNXM977', 'MNXR93892_MNXM977', 'MNXR9562_MNXM977'] caroten_keys = [ 'RR-01-4ff35efaba69-12-F_12', 'RR-01-441413e93dd9-12-F_12', 'RR-01-e05fa6c58030-12-F_12', 'RR-01-e159cf6aa074-12-F_12', 'RR-01-1a456abbc0d8-12-F_12', 'RR-01-8910fd3fbc24-12-F_12', 'RR-01-1178f64b971e-12-F_12', 'RR-01-6d3500208261-12-F_12', 'RR-01-79a67c44bcbb-12-F_12', 'RR-01-44096cd01e46-12-F_12', 'RR-01-ab84cf3ac489-12-F_12', 'RR-01-693dcfc0cb83-12-F_12', 'RR-01-7c39c8a09b89-12-F_12', 'RR-01-1498c473c4cc-12-F_12', 'RR-01-6d2e028722f0-12-F_12', 'RR-01-35f0b9c12d05-12-F_12', 'RR-01-f7aa682a3ace-12-F_12', 'RR-01-91d8d1cbf1c1-12-F_12', 'RR-01-4daf335327a9-12-F_12', 'RR-01-ed22660e3711-12-F_12', 'RR-01-c9e94bc17bd5-12-F_12', 'RR-01-46b6c7e92d01-12-F_12', 'RR-01-9792e497c4e7-12-F_12', 'RR-01-a00d34ecee17-12-F_12', 'RR-01-38fbd0308afe-12-F_12', 'RR-01-e58379f37a1a-12-F_12', 'RR-01-20dadc0fd5e8-12-F_12', 'RR-01-5ef5450abd00-12-F_12', 'RR-01-20bda621c732-12-F_12', 'RR-01-c68691baf417-12-F_12', 'RR-01-0c7bceb70e55-12-F_12', 'RR-01-dd038e613058-12-F_12', 'RR-01-c687e462e254-12-F_12', 'RR-01-081e6a581b75-12-F_12', 'RR-01-0351542ed10f-12-F_12', 'RR-01-90bcfd187709-12-F_12', 'RR-01-2be959c35eb2-12-F_12', 'RR-01-11cb6d5fa275-12-F_12'] caroten_16_keys = [ 'RR-02-081e6a581b75d3b9-10-F', 'RR-02-2be959c35eb2c6ac-16-F', 'RR-02-11cb6d5fa275d4ce-10-F', 'RR-02-4ff35efaba6994fb-12-F', 'RR-02-441413e93dd96e37-12-F', 'RR-02-e05fa6c5803015b4-12-F', 'RR-02-e159cf6aa0744228-12-F', 'RR-02-1a456abbc0d8ce54-12-F', 'RR-02-8910fd3fbc24b470-12-F', 'RR-02-1178f64b971e36da-12-F', 'RR-02-6d35002082610a76-12-F', 'RR-02-79a67c44bcbbcf69-12-F', 'RR-02-44096cd01e46c9cf-12-F', 'RR-02-693dcfc0cb83c18e-12-F', 'RR-02-7c39c8a09b89f9f9-12-F', 'RR-02-1498c473c4cc62e9-12-F', 'RR-02-6d2e028722f03c3a-12-F', 'RR-02-35f0b9c12d0571b1-12-F', 'RR-02-f7aa682a3ace851c-12-F', 'RR-02-91d8d1cbf1c10bb6-12-F', 'RR-02-4daf335327a9d1b6-12-F', 'RR-02-ed22660e3711b360-12-F', 'RR-02-c9e94bc17bd5f6a3-12-F', 'RR-02-46b6c7e92d015b1b-12-F', 'RR-02-a00d34ecee17155c-12-F', 'RR-02-38fbd0308afee065-12-F', 'RR-02-e58379f37a1ae3ee-12-F', 'RR-02-5ef5450abd006d5a-12-F', 'RR-02-20bda621c732d5a9-12-F', 'RR-02-c68691baf417f77c-12-F', 'RR-02-0c7bceb70e55f042-12-F', 'RR-02-dd038e613058ed7e-12-F', 'RR-02-c687e462e2545683-12-F', 'RR-02-0351542ed10fdadf-12-F', 'RR-02-90bcfd187709eb1b-16-F' ] caroten_keys_archive = ['MNXR15454_MNXM614', 'MNXR15602_MNXM557', 'MNXR16029_MNXM1048', 'MNXR17616_MNXM10398', 'MNXR17616_MNXM3549', 'MNXR26357_MNXM445', 'MNXR26357_MNXM557', 'MNXR26773_MNXM949', 'MNXR26773_MNXM557', 'MNXR26774_MNXM2099', 'MNXR26774_MNXM557', 'MNXR55435_MNXM139', 'MNXR60336_MNXM2000', 'MNXR70495_MNXM557', 'MNXR71200_MNXM1788', 'MNXR8603_MNXM1910', 'MNXR87812_MNXM557'] def get_rules_and_score(full_rules_forward_H = None, full_rules_retro_H = None, full_rules_forward_no_H = None, full_rules_retro_no_H = None, add_Hs = True, retro = True, diameters = [16], small = False, c_name = None, filtering_EC = None): """ full_rules: fondation data - H or no H - forward or reverse Those rules will be calculated in calculate_rules_similarity for those 4 conditions. Expert users can choose to calculate their own rules under the required format and specify only those they intedn to use. diameter: a list of diameters to use (it's a rule attribute) small: current optional argument for running fast tests. """ if add_Hs: if retro: unfiltered_rules = full_rules_retro_H scoring = "BiologicalFullScoringRetroH" else: unfiltered_rules = full_rules_forward_H scoring = "BiologicalFullScoringFwdH" else: if retro: unfiltered_rules = full_rules_retro_no_H scoring = "BiologicalFullScoringRetroNoH" else: unfiltered_rules = full_rules_forward_no_H scoring = "BiologicalFullScoringFwdNoH" if small: merged_rules = full_rules_retro_H merged_rules.update(full_rules_forward_H) if c_name == "TPA": rules = dict((rid, merged_rules[rid]) for rid in TPA_16_keys) scoring = "BiologicalFullScoringH" elif c_name == "deoxiviolacein" or c_name == "violacein": rules = dict((rid, merged_rules[rid]) for rid in violacein_16_keys) scoring = "BiologicalFullScoringH" elif c_name == "pinocembrin": rules = dict((rid, merged_rules[rid]) for rid in pinocembrin_16_keys) scoring = "BiologicalFullScoringH" elif c_name == "naringenin": rules = dict((rid, merged_rules[rid]) for rid in naringenin_16_keys) scoring = "BiologicalFullScoringH" elif c_name == "ethylene": rules = dict((rid, merged_rules[rid]) for rid in ethylene_16_keys) scoring = "BiologicalFullScoringH" elif c_name == "caroten": rules = dict((rid, merged_rules[rid]) for rid in caroten_16_keys) scoring = "BiologicalFullScoringH" elif c_name == "styrene": rules = dict((rid, merged_rules[rid]) for rid in styrene_16_keys) scoring = "BiologicalFullScoringH" else: if biosensor: rules = unfiltered_rules else: raise NotImplementedError return(rules, scoring) else: # Filtering by diameters if diameters is None: filtered_rules = unfiltered_rules else: filtered_rules = {} for rid, rule_characteritics in unfiltered_rules.items(): if int(rule_characteritics["Diameter"]) in diameters: filtered_rules[rid] = rule_characteritics # Filtering by EC: if filtering_EC is None: filtered_rules_EC = filtered_rules else: filtered_rules_EC = {} for rid, rule_characteritics in filtered_rules.items(): for ec_reac in rule_characteritics["EC_number"]: for ec_query in filtering_EC: ec_query_split = ec_query.split('.') ec_correct_depth = get_EC_from_depth(ec_reac, len(ec_query_split)) if ec_correct_depth == ec_query: filtered_rules_EC[rid] = rule_characteritics return(filtered_rules_EC, scoring) def get_EC_from_depth(EC, EC_depth = 4): """ Obtains an EC number at the requested depth from a full EC number. Returns None is the requested depth is too long (ie: 4.1.-- would return None at depth 3 or 4) """ EC_split = EC.split('.') if len(EC_split) < EC_depth: return(None) else: EC_cut = ".".join([EC_split[i] for i in range(EC_depth)]) return(EC_cut)

90.453125

4,187

0.710802

5,364

34,734

4.433072

0.182327

0.051348

0.068758

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null

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1

0

1

0

1

0

1

null

0

5

0c8b4dbf90048f4847fa1c8634da66dd0e2928c0

93

py

Python

director/exceptions.py

ministicraft/celery-director

e88afe1f1b8a77a4cab68b25a84a6b44714255be

[ "BSD-3-Clause" ]

null

director/exceptions.py

ministicraft/celery-director

e88afe1f1b8a77a4cab68b25a84a6b44714255be

[ "BSD-3-Clause" ]

null

director/exceptions.py

ministicraft/celery-director

e88afe1f1b8a77a4cab68b25a84a6b44714255be

[ "BSD-3-Clause" ]

null

class WorkflowNotFound(Exception): pass class WorkflowSyntaxError(Exception): pass

13.285714

37

0.763441

8

93

8.875

0.625

0.366197

0

0.172043

93

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15.5

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true

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null

1

0

1

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null

0

1

0

5

0cb1db27e6e3234682707ed6ca8fdbe34069faa5

136

py

Python

Python/lcm.py

IshankAgarwal/simple-maths

90ea4eaed7a49da7f321fbd6fa89f265a49cfeb2

[ "MIT" ]

1

2020-03-07T09:37:26.000Z

Python/lcm.py

IshankAgarwal/simple-maths

90ea4eaed7a49da7f321fbd6fa89f265a49cfeb2

[ "MIT" ]

null

Python/lcm.py

IshankAgarwal/simple-maths

90ea4eaed7a49da7f321fbd6fa89f265a49cfeb2

[ "MIT" ]

null

from gcd import gcd def lcm(n1, n2): """ Function to return the lcm of two numbers """ return (n1 * n2) / gcd(n1, n2)

15.111111

45

0.566176

22

136

3.5

0.636364

0.155844

0

0.06383

0.308824

136

8

46

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false

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null

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1

0

1

0

1

0

5

0ce78ca20b262a66d06fa4c4460f16b81eab5654

2,526

py

Python

test/test_secrets_api.py

nrfta/python-netbox-client

68ba6dd4d7306513dc1ad38f3ac59122ba4f70a8

[ "MIT" ]

null

test/test_secrets_api.py

nrfta/python-netbox-client

68ba6dd4d7306513dc1ad38f3ac59122ba4f70a8

[ "MIT" ]

null

test/test_secrets_api.py

nrfta/python-netbox-client

68ba6dd4d7306513dc1ad38f3ac59122ba4f70a8

[ "MIT" ]

null

# coding: utf-8 """ NetBox API API to access NetBox # noqa: E501 OpenAPI spec version: 2.8 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import netbox_client from netbox_client.api.secrets_api import SecretsApi # noqa: E501 from netbox_client.rest import ApiException class TestSecretsApi(unittest.TestCase): """SecretsApi unit test stubs""" def setUp(self): self.api = netbox_client.api.secrets_api.SecretsApi() # noqa: E501 def tearDown(self): pass def test_secrets_generate_rsa_key_pair_list(self): """Test case for secrets_generate_rsa_key_pair_list This endpoint can be used to generate a new RSA key pair. The keys are returned in PEM format. # noqa: E501 """ pass def test_secrets_get_session_key_create(self): """Test case for secrets_get_session_key_create """ pass def test_secrets_secret_roles_create(self): """Test case for secrets_secret_roles_create """ pass def test_secrets_secret_roles_delete(self): """Test case for secrets_secret_roles_delete """ pass def test_secrets_secret_roles_list(self): """Test case for secrets_secret_roles_list """ pass def test_secrets_secret_roles_partial_update(self): """Test case for secrets_secret_roles_partial_update """ pass def test_secrets_secret_roles_read(self): """Test case for secrets_secret_roles_read """ pass def test_secrets_secret_roles_update(self): """Test case for secrets_secret_roles_update """ pass def test_secrets_secrets_create(self): """Test case for secrets_secrets_create """ pass def test_secrets_secrets_delete(self): """Test case for secrets_secrets_delete """ pass def test_secrets_secrets_list(self): """Test case for secrets_secrets_list """ pass def test_secrets_secrets_partial_update(self): """Test case for secrets_secrets_partial_update """ pass def test_secrets_secrets_read(self): """Test case for secrets_secrets_read """ pass def test_secrets_secrets_update(self): """Test case for secrets_secrets_update """ pass if __name__ == '__main__': unittest.main()

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0.649644

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2,526

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0

1

0

1

0

1

0

5

0cfc247a01ae0b2c4239a79dfd3e90a0e05fb4ce

115

py

Python

python/regex/src/formula/formula.py

GuillaumeFalourd/formulas-4-tests

fef565078fa2209d9e46475f627f4251cfa6dd86

[ "Apache-2.0" ]

3

2021-08-18T21:01:28.000Z

2022-01-15T20:13:47.000Z

python/regex/src/formula/formula.py

GuillaumeFalourd/formulas-4-tests

fef565078fa2209d9e46475f627f4251cfa6dd86

[ "Apache-2.0" ]

null

python/regex/src/formula/formula.py

GuillaumeFalourd/formulas-4-tests

fef565078fa2209d9e46475f627f4251cfa6dd86

[ "Apache-2.0" ]

null

#!/usr/bin/python3 from colored import fg, attr from distutils.util import strtobool def run(age): print(age)

16.428571

36

0.73913

18

115

4.722222

0.833333

0

0.010309

0.156522

115

6

37

19.166667

0.865979

0.147826

0

1

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0

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0.25

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0b574100520a7a5c9a82925723f7fddd01c39a79

57

py

Python

Vamei/tricks/trick2.py

YangPhy/learnPython

5507fa1a0d2878fc663d62509af8ff959955f822

[ "MIT" ]

5

2020-05-18T06:54:52.000Z

2021-05-29T23:17:41.000Z

Vamei/tricks/trick2.py

YangPhy/learnPython

5507fa1a0d2878fc663d62509af8ff959955f822

[ "MIT" ]

null

Vamei/tricks/trick2.py

YangPhy/learnPython

5507fa1a0d2878fc663d62509af8ff959955f822

[ "MIT" ]

1

2020-05-17T22:47:49.000Z

a=[1,2,3] print(a.__class__) print(a.__class__.__name__)

14.25

27

0.736842

11

57

2.727273

0.636364

0.4

0.733333

0

0.055556

0.052632

57

3

28

19

0.5

0

1

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false

0

0.666667

1

0

null

1

0

1

0

null

0

1

0

5

0b5968684c89c89170fc4558a07a840efa60ef91

524

py

Python

anmichelpers/parsers/lineParsers.py

victor-gil-sepulveda/PhD-ANMPythonHelpers

c0e15684cce4aa4da90141b51f043a567a5f8655

[ "MIT" ]

1

2017-11-01T15:19:10.000Z

anmichelpers/parsers/lineParsers.py

victor-gil-sepulveda/PhD-ANMPythonHelpers

c0e15684cce4aa4da90141b51f043a567a5f8655

[ "MIT" ]

null

anmichelpers/parsers/lineParsers.py

victor-gil-sepulveda/PhD-ANMPythonHelpers

c0e15684cce4aa4da90141b51f043a567a5f8655

[ "MIT" ]

null

''' Created on 18/03/2015 @author: user ''' import numpy from anmichelpers.tools.tools import is_int def single_string_parser(parts): return parts[0] def string_array_parser(parts): return parts def float_array_parser(parts): return numpy.array([float(part) for part in parts]) def int_array_parser(parts): return [int(part) for part in parts] def mode_parser(parts): offset = 0 if is_int(parts[0]): offset = 1 return float(parts[offset]), float_array_parser(parts[offset+1:])

20.96

69

0.704198

80

524

4.45

0.375

0.185393

0.191011

0.185393

0.117978

0

0.030445

0.185115

524

25

69

20.96

0.803279

0.068702

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0.333333

false

0

0.133333

0.266667

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0

null

0

1

0

null

0

1

0

1

0

5

0b82141e7c3739729901161dd87e486266ecec44

141

py

Python

agent/src/agent/di/streamsets.py

eacherkan-aternity/daria

7c77a2f52c09c852017b16949a848fa51f0fb579

[ "Apache-2.0" ]

16

2019-04-03T08:31:54.000Z

2021-01-24T17:12:04.000Z

agent/src/agent/di/streamsets.py

eacherkan-aternity/daria

7c77a2f52c09c852017b16949a848fa51f0fb579

[ "Apache-2.0" ]

10

2020-01-20T14:59:06.000Z

2022-01-21T10:19:16.000Z

agent/src/agent/di/streamsets.py

eacherkan-aternity/daria

7c77a2f52c09c852017b16949a848fa51f0fb579

[ "Apache-2.0" ]

5

2021-01-08T19:23:03.000Z

2021-11-09T14:15:49.000Z

import sdc_client from agent import streamsets def config(binder): binder.bind(sdc_client.IStreamSetsProvider, streamsets.Provider())

17.625

70

0.801418

17

141

6.529412

0.705882

0.162162

0

0.120567

141

7

71

20.142857

0.895161

0

1

0.25

false

0

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0

0.75

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1

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null

0

1

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null

0

1

0

1

0

1

0

5

0b9067ed4f85d3a4ce037e1852e49c4e2ae04abf

3,901

py

Python

src/third_party/beaengine/tests/0f384b.py

CrackerCat/rp

5fe693c26d76b514efaedb4084f6e37d820db023

[ "MIT" ]

1

2022-01-19T01:59:58.000Z

src/third_party/beaengine/tests/0f384b.py

CrackerCat/rp

5fe693c26d76b514efaedb4084f6e37d820db023

[ "MIT" ]

null

src/third_party/beaengine/tests/0f384b.py

CrackerCat/rp

5fe693c26d76b514efaedb4084f6e37d820db023

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/> # # @author : beaengine@gmail.com from headers.BeaEnginePython import * from nose.tools import * class TestSuite: def test(self): # VEX.128.F2.0F38.W0 4B !(11):rrr:100 # TILELOADD tmm1, sibmem myVEX = VEX('VEX.128.F2.0F38.W0') myVEX.vvvv = 0b1111 myVEX.R = 0b1 Buffer = bytes.fromhex('{}4b0482'.format(myVEX.c4())) myDisasm = Disasm(Buffer) length = myDisasm.read() assert_equal(myDisasm.length, len(Buffer)) assert_equal(myDisasm.infos.Instruction.Opcode, 0x4b) assert_equal(myDisasm.infos.Instruction.Category, AMX_INSTRUCTION) assert_equal(myDisasm.infos.Instruction.Mnemonic, b'tileloadd') assert_equal(myDisasm.infos.Operand1.OpType, REGISTER_TYPE) assert_equal(myDisasm.infos.Operand1.Registers.tmm, REG0) assert_equal(myDisasm.infos.Operand1.OpSize, 8192) assert_equal(myDisasm.infos.Operand1.AccessMode, WRITE) assert_equal(myDisasm.infos.Operand2.OpType, MEMORY_TYPE) assert_equal(myDisasm.infos.Operand2.AccessMode, READ) assert_equal(myDisasm.repr(), 'tileloadd tmm0, [r10+r8*4]') # VEX.128.66.0F38.W0 4B !(11):rrr:100 # TILELOADDT1 tmm1, sibmem myVEX = VEX('VEX.128.66.0F38.W0') myVEX.vvvv = 0b1111 myVEX.R = 0b1 Buffer = bytes.fromhex('{}4b0482'.format(myVEX.c4())) myDisasm = Disasm(Buffer) length = myDisasm.read() assert_equal(myDisasm.length, len(Buffer)) assert_equal(myDisasm.infos.Instruction.Opcode, 0x4b) assert_equal(myDisasm.infos.Instruction.Category, AMX_INSTRUCTION) assert_equal(myDisasm.infos.Instruction.Mnemonic, b'tileloaddt1') assert_equal(myDisasm.infos.Operand1.OpType, REGISTER_TYPE) assert_equal(myDisasm.infos.Operand1.Registers.tmm, REG0) assert_equal(myDisasm.infos.Operand1.OpSize, 8192) assert_equal(myDisasm.infos.Operand1.AccessMode, WRITE) assert_equal(myDisasm.infos.Operand2.OpType, MEMORY_TYPE) assert_equal(myDisasm.infos.Operand2.AccessMode, READ) assert_equal(myDisasm.repr(), 'tileloaddt1 tmm0, [r10+r8*4]') # VEX.128.F3.0F38.W0 4B !(11):rrr:100 # TILESTORED sibmem, tmm1 myVEX = VEX('VEX.128.F3.0F38.W0') myVEX.vvvv = 0b1111 myVEX.R = 0b1 Buffer = bytes.fromhex('{}4b0482'.format(myVEX.c4())) myDisasm = Disasm(Buffer) length = myDisasm.read() assert_equal(myDisasm.length, len(Buffer)) assert_equal(myDisasm.infos.Instruction.Opcode, 0x4b) assert_equal(myDisasm.infos.Instruction.Category, AMX_INSTRUCTION) assert_equal(myDisasm.infos.Instruction.Mnemonic, b'tilestored') assert_equal(myDisasm.infos.Operand2.OpType, REGISTER_TYPE) assert_equal(myDisasm.infos.Operand2.Registers.tmm, REG0) assert_equal(myDisasm.infos.Operand2.OpSize, 8192) assert_equal(myDisasm.infos.Operand2.AccessMode, READ) assert_equal(myDisasm.infos.Operand1.OpType, MEMORY_TYPE) assert_equal(myDisasm.infos.Operand1.AccessMode, WRITE) assert_equal(myDisasm.repr(), 'tilestored [r10+r8*4], tmm0')

45.360465

74

0.688541

490

3,901

5.395918

0.297959

0.137292

0.237141

0.245083

0.755295

0.733359

0.639939

0.602874

0

0.054271

0.201743

3,901

85

75

45.894118

0.794798

0.227378

0

0.690909

0

0.064171

0

0.004011

0

0.6

1

0.018182

false

0

0.036364

0

0.072727

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null

0

1

0

1

0

1

0

null

0

1

0

5

0bb4a1d75ed9448e307f0b07c406e4435598a127

29

py

Python

pyhandmouse/__init__.py

heewinkim/pyhandmouse

63d6a3ba31a2b6422a34585094e2abddecc9166d

[ "Apache-2.0" ]

null

pyhandmouse/__init__.py

heewinkim/pyhandmouse

63d6a3ba31a2b6422a34585094e2abddecc9166d

[ "Apache-2.0" ]

null

pyhandmouse/__init__.py

heewinkim/pyhandmouse

63d6a3ba31a2b6422a34585094e2abddecc9166d

[ "Apache-2.0" ]

null

from .main import PyHandMouse

29

0.862069

4

29

6.25

1

0

0.103448

29

1

29

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e7fc287dffd12d5f4297f54b366b01f249b705aa

124

py

Python

polarization/search/admin.py

teyit/semantik

b3e5013c40373f5817b559c7dea28bf443e429d3

[ "MIT" ]

null

polarization/search/admin.py

teyit/semantik

b3e5013c40373f5817b559c7dea28bf443e429d3

[ "MIT" ]

null

polarization/search/admin.py

teyit/semantik

b3e5013c40373f5817b559c7dea28bf443e429d3

[ "MIT" ]

null

from django.contrib import admin from .models import Tweet, Search admin.site.register(Tweet) admin.site.register(Search)

17.714286

33

0.806452

18

124

5.555556

0.555556

0.18

0.34

0

0.104839

124

6

34

20.666667

0.900901

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

f04d9068152abaf8154a93cb3f663b42fd64036c

91

py

Python

sellsy_api/__init__.py

Annouar/sellsy-client

0aa7b638c4d35dce33fd4eeae1374bc28530d354

[ "MIT" ]

5

2018-04-03T13:49:20.000Z

2020-02-11T10:08:45.000Z

sellsy_api/__init__.py

Annouar/sellsy-client

0aa7b638c4d35dce33fd4eeae1374bc28530d354

[ "MIT" ]

6

2019-01-16T16:40:46.000Z

2022-02-17T15:04:05.000Z

sellsy_api/__init__.py

Annouar/sellsy-client

0aa7b638c4d35dce33fd4eeae1374bc28530d354

[ "MIT" ]

5

2019-06-03T12:43:42.000Z

2022-01-28T13:16:19.000Z

from .sellsy_client import Client from .errors import SellsyAuthenticateError, SellsyError

30.333333

56

0.868132

10

91

7.8

0.7

0

0.098901

91

2

57

45.5

0.95122

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f07d784b45b284e13dd69679e503c77a895d71ca

160

py

Python

Backend/product/admin.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

[ "MIT" ]

null

Backend/product/admin.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

[ "MIT" ]

null

Backend/product/admin.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from .models import Category, Product admin.site.register(Category) admin.site.register(Product)

22.857143

37

0.8125

22

160

5.909091

0.545455

0.138462

0.261538

0

0.10625

160

7

38

22.857143

0.909091

0.1625

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

b2d5fdada1e11a5a0d71e13e6c0a5d0cf360fd1e

149

py

Python

topCoder/srms/400s/srm472/div2/colorful_tiles_easy.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

25

2015-01-21T16:39:18.000Z

2021-05-24T07:01:24.000Z

topCoder/srms/400s/srm472/div2/colorful_tiles_easy.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

2

2020-09-30T19:39:36.000Z

2020-10-01T17:15:16.000Z

topCoder/srms/400s/srm472/div2/colorful_tiles_easy.py

ferhatelmas/algo

a7149c7a605708bc01a5cd30bf5455644cefd04d

[ "WTFPL" ]

15

2015-01-21T16:39:27.000Z

2020-10-01T17:00:22.000Z

from itertools import groupby class ColorfulTilesEasy: def theMin(self, room): return sum(len(list(g)) // 2 for _, g in groupby(room))

21.285714

63

0.677852

21

149

4.761905

0.857143

0

0.008547

0.214765

149

6

64

24.833333

0.846154

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b2ef3c0e2e5e6533bf107e79641912c91a4e9ba0

345

py

Python

src/tespy/connections/__init__.py

drjod/tespy

b90508178ff3527665781b99d20d3dddd8cb23a2

[ "MIT" ]

null

src/tespy/connections/__init__.py

drjod/tespy

b90508178ff3527665781b99d20d3dddd8cb23a2

[ "MIT" ]

null

src/tespy/connections/__init__.py

drjod/tespy

b90508178ff3527665781b99d20d3dddd8cb23a2

[ "MIT" ]

null

# -*- coding: utf-8 from .bus import Bus # noqa: F401 from .connection import Connection # noqa: F401 from .connection import Ref # noqa: F401 # ############## deprecated components errors ############## # from .deprecated import bus # noqa: F401 from .deprecated import connection # noqa: F401 from .deprecated import ref # noqa: F401

28.75

62

0.663768

42

345

5.452381

0.309524

0.209607

0.148472

0.655022

0

0.067138

0.17971

345

11

63

31.363636

0.742049

0.333333

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

b2f23a89ebb703aad2eb5fa3d7f6b00b7499cf78

179

py

Python

medical_prescription/exam/views/__init__.py

ristovao/2017.2-Receituario-Medico

5387eb80dfb354e948abe64f7d8bbe087fc4f136

[ "MIT" ]

11

2017-09-19T00:29:40.000Z

2018-04-05T23:52:39.000Z

medical_prescription/exam/views/__init__.py

ristovao/2017.2-Receituario-Medico

5387eb80dfb354e948abe64f7d8bbe087fc4f136

[ "MIT" ]

271

2017-09-09T00:07:28.000Z

2017-12-07T05:00:45.000Z

medical_prescription/exam/views/__init__.py

ristovao/2017.2-Receituario-Medico

5387eb80dfb354e948abe64f7d8bbe087fc4f136

[ "MIT" ]

26

2017-08-31T20:48:49.000Z

2018-03-21T15:11:27.000Z

from .list_exams import ListExams from .list_custom_exams import ListCustomExams from .createcustomexam import CreateCustomExamsView from .edit_customexam import UpdateCustomExam

35.8

51

0.888268

20

179

7.75

0.6

0.103226

0

0.089385

179

4

52

44.75

0.95092

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b2f9c16d078e04b77aee7b3ceda23e26872aac05

155

py

Python

website_checker/__main__.py

yifeizuo/website_checker

4b4270c93e034f376bfdde87b790fd49b003551d

[ "Apache-2.0" ]

null

website_checker/__main__.py

yifeizuo/website_checker

4b4270c93e034f376bfdde87b790fd49b003551d

[ "Apache-2.0" ]

null

website_checker/__main__.py

yifeizuo/website_checker

4b4270c93e034f376bfdde87b790fd49b003551d

[ "Apache-2.0" ]

null

import fire import website_checker def produce(): website_checker.producer.main() def consume(): website_checker.consumer.main() fire.Fire()

11.071429

35

0.729032

19

155

5.789474

0.526316

0.381818

0

0.16129

155

13

36

11.923077

0.846154

0

1

0.285714

true

0

0.285714

0

0.571429

0

1

0

null

1

0

null

0

1

0

1

0

5

65160b24efdb8b320aabafd8c393f517c6db6c09

200

py

Python

Macros/Colours/Purple/Indigo.py

rec/dmxis

540baa59df6f4ae39990e5888f90b95caa362279

[ "Artistic-2.0" ]

2

2019-05-26T15:11:18.000Z

2021-12-27T21:05:32.000Z

Macros/Colours/Purple/Indigo.py

rec/DMXIS

540baa59df6f4ae39990e5888f90b95caa362279

[ "Artistic-2.0" ]

null

Macros/Colours/Purple/Indigo.py

rec/DMXIS

540baa59df6f4ae39990e5888f90b95caa362279

[ "Artistic-2.0" ]

null

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652f8028a566914c7b6e8618e8681d8899c684db

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py

Python

tests/conftest.py

shramov/tll-http

27865ab55e446ea97363bfd6556597b25c7f8cf3

[ "MIT" ]

4

2019-09-25T14:19:05.000Z

2021-03-19T07:58:03.000Z

tests/conftest.py

shramov/tll-http

27865ab55e446ea97363bfd6556597b25c7f8cf3

[ "MIT" ]

3

2021-10-20T04:53:34.000Z

2021-11-23T08:57:12.000Z

tests/conftest.py

shramov/tll-http

27865ab55e446ea97363bfd6556597b25c7f8cf3

[ "MIT" ]

2

2021-10-16T12:39:35.000Z

2022-03-17T09:11:52.000Z

#!/usr/bin/env python # vim: sts=4 sw=4 et import tll.logger tll.logger.init()

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216

py

Python

app/team/views.py

griimx/feature-mlsite

a66201c6b165d306d81110a05ee89d283f9b5e1e

[ "MIT" ]

3

2018-11-20T11:42:39.000Z

2019-05-24T15:50:11.000Z

app/team/views.py

khushmeeet/mlsite

08e116fb21cba8fa2d06f54d256de439c91c43b5

[ "MIT" ]

1

2019-12-16T20:48:36.000Z

app/team/views.py

khushmeeet/mlsite

08e116fb21cba8fa2d06f54d256de439c91c43b5

[ "MIT" ]

2

2017-07-04T05:08:55.000Z

2017-07-04T05:10:55.000Z

from flask import Blueprint, render_template team_mod = Blueprint('team', __name__, template_folder='templates', static_folder='static') @team_mod.route('/team') def team(): return render_template('team.html')

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330a01452f003142f0a41fbeb65524c26b3516ab

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py

Python

pypayd/insight.py

pik/pypayd

f64ef7ff90cda8f5da8844a2520aa604fbd6a9ff

[ "MIT" ]

4

2015-03-02T04:01:51.000Z

2020-01-12T04:06:34.000Z

pypayd/insight.py

pik/pypayd

f64ef7ff90cda8f5da8844a2520aa604fbd6a9ff

[ "MIT" ]

12

2015-03-02T06:07:17.000Z

2016-01-19T00:43:11.000Z

pypayd/insight.py

pik/pypayd

f64ef7ff90cda8f5da8844a2520aa604fbd6a9ff

[ "MIT" ]

4

2015-04-30T01:49:09.000Z

2019-06-14T11:25:50.000Z

""" http://insight.bitpay.com/ """ import logging import requests import config def getUrl(request_string): return requests.get(request_string).json() def setHost(): if config.LOCAL_BLOCKCHAIN and config.BLOCKCHAIN_CONNECT: pass elif config.LOCAL_BLOCKCHAIN: config.BLOCKCHAIN_CONNECT = ('http://localhost:3001' if config.TESTNET else 'http://localhost:3000') else: config.BLOCKCHAIN_CONNECT = ("https://test-insight.bitpay.com/" if config.TESTNET else "https://insight.bitpay.com/") def check(): result = getUrl(config.BLOCKCHAIN_CONNECT + '/api/sync/') if result['error']: raise Exception('Insight reports error: %s' % result['error']) if result['status'] == 'error': raise Exception('Insight reports error: %s' % result['error']) if result['status'] == 'syncing': logging.warning("WARNING: Insight is not fully synced to the blockchain: %s%% complete" % result['syncPercentage']) return result def getInfo(): return getUrl(config.BLOCKCHAIN_CONNECT + '/api/status?q=getInfo') def getUtxo(address): return getUrl(config.BLOCKCHAIN_CONNECT + '/api/addr/' + address + '/utxo/') def getAddressInfo(address): return getUrl(config.BLOCKCHAIN_CONNECT + '/api/addr/' + address + '/') def getTxInfo(tx_hash): return getUrl(config.BLOCKCHAIN_CONNECT + '/api/tx/' + tx_hash + '/') def getBlockInfo(block_hash): return getUrl(config.BLOCKCHAIN_CONNECT + '/api/block/' + block_hash + '/')

33.75

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1

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5

332263ae9194f1e9bf00d7aba95d494672910f6b

172

py

Python

kafka_streamer/models/__init__.py

sam-mosleh/kafka-streamer

be977af192b33a335b42af0a42ad05d9f3f9fef4

[ "BSD-3-Clause" ]

1

2020-06-26T00:10:05.000Z

kafka_streamer/models/__init__.py

sam-mosleh/kafka-streamer

be977af192b33a335b42af0a42ad05d9f3f9fef4

[ "BSD-3-Clause" ]

null

kafka_streamer/models/__init__.py

sam-mosleh/kafka-streamer

be977af192b33a335b42af0a42ad05d9f3f9fef4

[ "BSD-3-Clause" ]

null

from .avro import AvroRecord from .base import SchematicModel, SchematicRecord, Serializable __all__ = ("Serializable", "SchematicModel", "SchematicRecord", "AvroRecord")

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5

335766307f96bb72f3d36e361eb55b951826dd09

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py

Python

parsy-backend/flaskApp/searchOption/utils.py

dstambler17/Parsy.io

14c4905809f79f191efbbbdfbd0e8d9e838478e7

[ "MIT" ]

null

parsy-backend/flaskApp/searchOption/utils.py

dstambler17/Parsy.io

14c4905809f79f191efbbbdfbd0e8d9e838478e7

[ "MIT" ]

null

parsy-backend/flaskApp/searchOption/utils.py

dstambler17/Parsy.io

14c4905809f79f191efbbbdfbd0e8d9e838478e7

[ "MIT" ]

null

import sys from flaskApp import db from flaskApp.models import User from flaskApp.error.error_handlers import * from sqlalchemy import text import string class DbSearchOptionUtils(object): def get_top_results_coursename(param, semester): #cursor = db.get_db().cursor() query = " select distinct CNum, CName from (select distinct CNum, CName from Course c, Prof_OH po where c.CSID = po.CSID and c.CName \ <> 'Dissertation Research' and c.CName <> 'PhD Research' and c.CName \ <> 'Independent Study' and c.CName like '%%%s%%' and c.Semester = '%s' and po.DayTime <> ''\ union\ select distinct CNum, CName from Course c, TA_OH t where c.CSID = t.CSID and c.CName \ <> 'Dissertation Research' and c.CName <> 'PhD Research' and c.CName <> \ 'Independent Study' and c.CName like '%%%s%%' and c.Semester = '%s' and t.DayTime <> '') as temp limit 5" % (param, semester, param, semester) sql = text(query) resTuple = db.engine.execute(sql) result = [] for item in resTuple: print(item[1]) dictItem = {"id" : item[0], "Name" : item[1]} result.append(dictItem) #cursor.close() return {"result" : result} def get_top_results_instructor(param, semester): query = "select distinct FName, LName, CNum, CName from (select distinct FName, LName, CNum, CName from Professor p,\ Teaches te, Prof_OH po, Course c where \ p.ProfId = te.ProfId and te.CSID = po.CSID and c.CSID = te.CSID and p.LName like '%%%s%%' and c.Semester = '%s' and po.DayTime <> '' \ union\ select distinct FName, LName, CNum, CName from Professor p, Teaches te, TA_OH t, Course c where p.ProfId = te.ProfId and te.CSID = t.CSID \ and te.CSID = c.CSID and\ p.LName like '%%%s%%' and c.Semester = '%s' and t.DayTime <> '') as temp limit 5" % (param, semester, param, semester) sql = text(query) resTuple = db.engine.execute(sql) result = [] for item in resTuple: print(item[2]) name = str(item[0]).lstrip().rstrip() + ' ' + str(item[1]).lstrip().rstrip() dictItem = {"id" : item[2], "Instructor" : name, "Name" : item[3]} result.append(dictItem) return {"result" : result} def get_top_results_courseID(param, semester): query = " select distinct CNum, CName from (select distinct CNum, CName from Course c, Prof_OH po where c.CSID = po.CSID and c.CName \ <> 'Dissertation Research' and c.CName <> 'PhD Research' and c.CName <> 'Independent Study' \ and c.CNum like '%%%s%%' and c.Semester = '%s' and po.DayTime <> ''\ union\ select distinct CNum, CName from Course c, TA_OH t where c.CSID = t.CSID and c.CName \ <> 'Dissertation Research' and c.CName <> 'PhD Research' and c.CName <> 'Independent Study'\ and c.CName like '%%%s%%' and c.Semester = '%s' and t.DayTime <> '') as temp limit 5" % (param, semester, param, semester) sql = text(query) resTuple = db.engine.execute(sql) result = [] for item in resTuple: print(item[0]) name = str(item[0]) dictItem = {"id" : item[0], "Name" : item[1]} result.append(dictItem) return {"result" : result} def get_top_results_all_courses(param, semester): query = " select distinct CNum, CName from Course where CName \ <> 'Dissertation Research' and CName <> 'PhD Research' and CName <> 'Independent Study' \ and CNum like '%%%s%%' and Semester = '%s' limit 5" % (param, semester) sql = text(query) resTuple = db.engine.execute(sql) result = [] for item in resTuple: print(item[0]) name = str(item[0]) dictItem = {"id" : item[0], "Name" : item[1]} result.append(dictItem) return {"result" : result}

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3,965

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null

0

1

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null

0

5

681ed1d08a20da808e99f88e1d739fbf784a155d

174

py

Python

pydicom/dicomio.py

yantingw/SegNetCMR

70b21c28c841db70e5774383cc47dc0ba1b7eac3

[ "MIT" ]

78

2017-02-12T12:14:54.000Z

2022-02-10T23:04:28.000Z

pydicom/dicomio.py

yantingw/SegNetCMR

70b21c28c841db70e5774383cc47dc0ba1b7eac3

[ "MIT" ]

8

2017-11-05T16:19:27.000Z

2022-01-29T13:36:12.000Z

pydicom/dicomio.py

yantingw/SegNetCMR

70b21c28c841db70e5774383cc47dc0ba1b7eac3

[ "MIT" ]

36

2017-03-30T02:01:52.000Z

2021-12-23T22:44:10.000Z

# dicomio.py """Many point of entry for pydicom read and write functions""" from pydicom.filereader import read_file, read_dicomdir from pydicom.filewriter import write_file

34.8

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1

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1

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5

6834adcb78ba82b5ae28a4eb580e99e0f7105223

61

py

Python

reamber/sm/SMHit.py

Eve-ning/reamber_base_py

6d19c84f2c110b60e633b82b73e0516396466f56

[ "MIT" ]

10

2020-06-28T11:16:36.000Z

2021-08-09T21:41:43.000Z

reamber/sm/SMHit.py

Eve-ning/reamberPy

6d19c84f2c110b60e633b82b73e0516396466f56

[ "MIT" ]

35

2020-06-18T13:05:50.000Z

2022-02-18T10:13:35.000Z

reamber/sm/SMHit.py

Eve-ning/reamber_base_py

6d19c84f2c110b60e633b82b73e0516396466f56

[ "MIT" ]

2

2021-05-26T17:05:06.000Z

2021-06-12T18:42:13.000Z

from reamber.base.Hit import Hit class SMHit(Hit): ...

10.166667

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9

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4.444444

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true

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1

0

1

0

5

686ec04a4962d1847aabd2098b949f973c8d2c67

190

py

Python

sequoia/__init__.py

pikselpalette/sequoia-python-client-sdk

972f0061bf8eb8c0cbbe1ffcbc6377148902bd09

[ "Apache-2.0" ]

null

sequoia/__init__.py

pikselpalette/sequoia-python-client-sdk

972f0061bf8eb8c0cbbe1ffcbc6377148902bd09

[ "Apache-2.0" ]

null

sequoia/__init__.py

pikselpalette/sequoia-python-client-sdk

972f0061bf8eb8c0cbbe1ffcbc6377148902bd09

[ "Apache-2.0" ]

6

2019-11-14T15:28:54.000Z

2021-04-27T18:57:08.000Z

# -*- coding: utf-8 -*- __version__ = '4.4.0' __description__ = """Sequoia Python Client SDK""" __url__ = "https://github.com/pikselpalette/sequoia-python-client-sdk" __author__ = 'Piksel'

27.142857

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6

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null

1

0

1

0

null

0

5

687cd58f7941ce07a8bc70261db6ea9bca9e10d9

235

py

Python

edutalk/exceptions.py

IoTtalk/EduTalk

76f4e7bb5984a2b530fe4be5ce5a4ae305c229f7

[ "MIT" ]

null

edutalk/exceptions.py

IoTtalk/EduTalk

76f4e7bb5984a2b530fe4be5ce5a4ae305c229f7

[ "MIT" ]

1

2021-11-24T09:23:24.000Z

2021-11-24T13:47:10.000Z

edutalk/exceptions.py

IoTtalk/EduTalk

76f4e7bb5984a2b530fe4be5ce5a4ae305c229f7

[ "MIT" ]

null

class BaseError(Exception): """Base error class""" pass class UtilError(BaseError): """Base util error class""" pass class CCMAPIError(UtilError): """Raised when a ccm_api returned status is not `ok`""" pass

18.076923

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1

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5

68842be0ad2757a08c2e90339a0e27a2cd39558f

49

py

Python

src/home_automation_hub/__init__.py

levidavis/py-home

3cc30e19d506824de9816ad9dbcfba4338a7dfa8

[ "MIT" ]

26

2018-08-21T19:54:21.000Z

2021-10-15T18:59:17.000Z

src/home_automation_hub/__init__.py

levidavis/py-home

3cc30e19d506824de9816ad9dbcfba4338a7dfa8

[ "MIT" ]

3

2020-01-23T03:54:24.000Z

2020-07-19T13:10:22.000Z

src/home_automation_hub/__init__.py

levidavis/py-home

3cc30e19d506824de9816ad9dbcfba4338a7dfa8

[ "MIT" ]

11

2018-09-18T21:31:11.000Z

2021-07-03T11:23:30.000Z

from . import mqtt, web, main, storage, websocket

49

0.755102

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0

1

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1

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5

6893098910fb96de18b233139deaaf517a50712a

835

py

Python

test/test_update_role_request.py

p-fruck/python-contabo

c3abd362a0b90783118f36bec0e557bdbe5a8f2c

[ "Apache-2.0" ]

2

2022-01-27T10:36:33.000Z

2022-03-09T14:21:12.000Z

test/test_update_role_request.py

p-fruck/python-contabo

c3abd362a0b90783118f36bec0e557bdbe5a8f2c

[ "Apache-2.0" ]

7

2022-01-13T10:44:19.000Z

2022-02-15T23:44:44.000Z

test/test_update_role_request.py

p-fruck/python-contabo

c3abd362a0b90783118f36bec0e557bdbe5a8f2c

[ "Apache-2.0" ]

null

""" Contabo API The version of the OpenAPI document: 1.0.0 Contact: support@contabo.com Generated by: https://openapi-generator.tech """ import sys import unittest import pfruck_contabo from pfruck_contabo.model.permission_request import PermissionRequest globals()['PermissionRequest'] = PermissionRequest from pfruck_contabo.model.update_role_request import UpdateRoleRequest class TestUpdateRoleRequest(unittest.TestCase): """UpdateRoleRequest unit test stubs""" def setUp(self): pass def tearDown(self): pass def testUpdateRoleRequest(self): """Test UpdateRoleRequest""" # FIXME: construct object with mandatory attributes with example values # model = UpdateRoleRequest() # noqa: E501 pass if __name__ == '__main__': unittest.main()

21.973684

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88

835

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0.613636

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null

0

1

0

1

0

1

0

5

689fcde29262d868b9f4480e2cdf1518f06c6585

426

py

Python

python-src/graphoire/algorithm/__init__.py

ccorbell/graphoire

566b0a27a9d6b87c5952bcc6e257a6d90621ca06

[ "Apache-2.0" ]

null

python-src/graphoire/algorithm/__init__.py

ccorbell/graphoire

566b0a27a9d6b87c5952bcc6e257a6d90621ca06

[ "Apache-2.0" ]

null

python-src/graphoire/algorithm/__init__.py

ccorbell/graphoire

566b0a27a9d6b87c5952bcc6e257a6d90621ca06

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Wed Mar 24 12:43:31 2021 @author: Christopher Corbell """ __all__ = ["dijkstra", "fordfulkerson", "galeshapley", "prufer", "welshpowell"] from graphoire.algorithm.dijkstra import * from graphoire.algorithm.fordfulkerson import * from graphoire.algorithm.galeshapley import * from graphoire.algorithm.prufer import * from graphoire.algorithm.welshpowell import *

28.4

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null

1

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null

0

1

0

1

0

5

d7c230227a42f5372bcc58b88631e5c710db0128

252

py

Python

setup.py

sungmin-park/paginatify-elasticsearch-dsl

72f0f4d85276fa866a204219a80013aff3ecbf1a

[ "MIT" ]

null

setup.py

sungmin-park/paginatify-elasticsearch-dsl

72f0f4d85276fa866a204219a80013aff3ecbf1a

[ "MIT" ]

null

setup.py

sungmin-park/paginatify-elasticsearch-dsl

72f0f4d85276fa866a204219a80013aff3ecbf1a

[ "MIT" ]

null

from setuptools import setup setup( name='paginatify-elasticsearch-dsl', version='0.0.2', packages=['paginatify_elasticsearch_dsl'], zip_safe=False, install_requires=['paginatify', 'elasticsearch-dsl>=0.0.9'] )

25.2

67

0.650794

28

252

5.714286

0.642857

0.43125

0.4875

0

0.030151

0.210317

252

9

68

28

0.773869

0

0.376984

0.31746

0

1

0

true

0

0.125

0

0.125

0

1

0

null

1

0

1

0

null

0

1

0

5

d7dad3ae1f3faa2aa10b12f46bfc00aa245201f1

37

py

Python

prototf/__init__.py

arpit196/Meta-Unsupervised-Representations-for-Prototypical-Learning

1511aef4273cab407c608b83b670cf33596cafb7

[ "MIT" ]

40

2019-04-18T17:43:11.000Z

2022-03-29T12:01:11.000Z

prototf/__init__.py

arpit196/Meta-Unsupervised-Representations-for-Prototypical-Learning

1511aef4273cab407c608b83b670cf33596cafb7

[ "MIT" ]

2

2019-10-14T05:55:12.000Z

2020-07-03T08:36:22.000Z

prototf/__init__.py

arpit196/Meta-Unsupervised-Representations-for-Prototypical-Learning

1511aef4273cab407c608b83b670cf33596cafb7

[ "MIT" ]

11

2019-08-02T15:20:18.000Z

2021-03-20T19:21:00.000Z

from .train_engine import TrainEngine

37

0.891892

5

37

6.4

1

0

0.081081

37

1

37

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0415d85ce73759220d9d71877a695e51d7b7fe8e

214

py

Python

libraries/python/dbxdemo/dbxdemo/spark.py

MiguelPeralvo/databricks-azuredevops-initial-tasks

2b82879d916b6193666df87a1173067b3ad4cce6

[ "MIT" ]

1

2022-01-02T14:23:40.000Z

libraries/python/dbxdemo/dbxdemo/spark.py

MiguelPeralvo/databricks-azuredevops-initial-tasks

2b82879d916b6193666df87a1173067b3ad4cce6

[ "MIT" ]

null

libraries/python/dbxdemo/dbxdemo/spark.py

MiguelPeralvo/databricks-azuredevops-initial-tasks

2b82879d916b6193666df87a1173067b3ad4cce6

[ "MIT" ]

null

from pyspark.sql import SparkSession from functools import lru_cache @lru_cache(maxsize=None) def get_spark(): return (SparkSession.builder .appName("dbxdemo") .getOrCreate())

21.4

36

0.663551

23

214

6.043478

0.782609

0.115108

0

0.247664

214

9

37

23.777778

0.863354

0

0.032864

0

1

0.142857

true

0

0.285714

0.142857

0.571429

0

1

0

null

0

1

0

null

0

1

0

1

0

5

044f4adb043705b52cfd343ff9fafddfd4b20df9

125

py

Python

skfda/inference/anova/__init__.py

jiduque/scikit-fda

5ea71e78854801b259aa3a01eb6b154aa63bf54b

[ "BSD-3-Clause" ]

147

2019-05-10T20:46:42.000Z

2022-03-25T17:23:19.000Z

skfda/inference/anova/__init__.py

jiduque/scikit-fda

5ea71e78854801b259aa3a01eb6b154aa63bf54b

[ "BSD-3-Clause" ]

306

2019-04-26T08:56:05.000Z

2022-03-30T11:12:48.000Z

skfda/inference/anova/__init__.py

jiduque/scikit-fda

5ea71e78854801b259aa3a01eb6b154aa63bf54b

[ "BSD-3-Clause" ]

38

2019-09-03T17:24:04.000Z

2022-01-06T05:09:18.000Z

"""Implementation of ANOVA for functional data.""" from ._anova_oneway import oneway_anova, v_asymptotic_stat, v_sample_stat

41.666667

73

0.824

18

125

5.333333

0.722222

0

0.096

125

2

74

62.5

0.849558

0.352

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0b053046629c4e30c7bd9b68597dd9bec0e5e939

13

py

Python

aspp2017/__init__.py

alebyk113/aspp2017

711264c9896fb5418f9c9a314f6af15937613307

[ "Unlicense" ]

null

aspp2017/__init__.py

alebyk113/aspp2017

711264c9896fb5418f9c9a314f6af15937613307

[ "Unlicense" ]

null

aspp2017/__init__.py

alebyk113/aspp2017

711264c9896fb5418f9c9a314f6af15937613307

[ "Unlicense" ]

null

print('hi')

4.333333

11

0.538462

2

13

3.5

1

0

0.153846

13

2

12

6.5

0.636364

0

0.166667

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0b15d489db8fe951610538e45eeb5d1418551f92

5,290

py

Python

rootfs/buildroot-2017.05.2/support/testing/tests/toolchain/test_external.py

suda-morris/SUDA_3518E

cfad829ecd574ffe5e8c59c96ffad5c1e1bf5fa4

[ "Apache-2.0" ]

4

2020-04-28T02:12:34.000Z

2021-02-23T01:57:39.000Z

rootfs/buildroot-2017.05.2/support/testing/tests/toolchain/test_external.py

donginhb/SUDA_3518E

cfad829ecd574ffe5e8c59c96ffad5c1e1bf5fa4

[ "Apache-2.0" ]

null

rootfs/buildroot-2017.05.2/support/testing/tests/toolchain/test_external.py

donginhb/SUDA_3518E

cfad829ecd574ffe5e8c59c96ffad5c1e1bf5fa4

[ "Apache-2.0" ]

5

2018-05-16T16:36:08.000Z

2020-11-04T05:51:11.000Z

import os import infra BASIC_CONFIG = \ """ BR2_TARGET_ROOTFS_CPIO=y # BR2_TARGET_ROOTFS_TAR is not set """ def has_broken_links(path): for root, dirs, files in os.walk(path): for f in files: fpath = os.path.join(root, f) if not os.path.exists(fpath): return True return False class TestExternalToolchain(infra.basetest.BRTest): def common_check(self): # Check for broken symlinks for d in ["lib", "usr/lib"]: path = os.path.join(self.builddir, "staging", d) self.assertFalse(has_broken_links(path)) path = os.path.join(self.builddir, "target", d) self.assertFalse(has_broken_links(path)) interp = infra.get_elf_prog_interpreter(self.builddir, self.toolchain_prefix, "bin/busybox") interp_path = os.path.join(self.builddir, "target", interp[1:]) self.assertTrue(os.path.exists(interp_path)) class TestExternalToolchainSourceryArmv4(TestExternalToolchain): config = BASIC_CONFIG + \ """ BR2_arm=y BR2_arm920t=y BR2_TOOLCHAIN_EXTERNAL=y BR2_TOOLCHAIN_EXTERNAL_CODESOURCERY_ARM=y """ toolchain_prefix = "arm-none-linux-gnueabi" def test_run(self): TestExternalToolchain.common_check(self) # Check the architecture variant arch = infra.get_file_arch(self.builddir, self.toolchain_prefix, "lib/libc.so.6") self.assertEqual(arch, "v4T") # Check the sysroot symlink symlink = os.path.join(self.builddir, "staging", "armv4t") self.assertTrue(os.path.exists(symlink)) self.assertEqual(os.readlink(symlink), "./") # Boot the system img = os.path.join(self.builddir, "images", "rootfs.cpio") self.emulator.boot(arch="armv5", kernel="builtin", options=["-initrd", img]) self.emulator.login() class TestExternalToolchainSourceryArmv5(TestExternalToolchain): config = BASIC_CONFIG + \ """ BR2_arm=y BR2_TOOLCHAIN_EXTERNAL=y BR2_TOOLCHAIN_EXTERNAL_CODESOURCERY_ARM=y """ toolchain_prefix = "arm-none-linux-gnueabi" def test_run(self): TestExternalToolchain.common_check(self) # Check the architecture variant arch = infra.get_file_arch(self.builddir, self.toolchain_prefix, "lib/libc.so.6") self.assertEqual(arch, "v5TE") # Boot the system img = os.path.join(self.builddir, "images", "rootfs.cpio") self.emulator.boot(arch="armv5", kernel="builtin", options=["-initrd", img]) self.emulator.login() class TestExternalToolchainSourceryArmv7(TestExternalToolchain): config = BASIC_CONFIG + \ """ BR2_arm=y BR2_cortex_a8=y BR2_ARM_EABI=y BR2_ARM_INSTRUCTIONS_THUMB2=y BR2_TOOLCHAIN_EXTERNAL=y BR2_TOOLCHAIN_EXTERNAL_CODESOURCERY_ARM=y """ toolchain_prefix = "arm-none-linux-gnueabi" def test_run(self): TestExternalToolchain.common_check(self) # Check the architecture variant arch = infra.get_file_arch(self.builddir, self.toolchain_prefix, "lib/libc.so.6") self.assertEqual(arch, "v7") isa = infra.get_elf_arch_tag(self.builddir, self.toolchain_prefix, "lib/libc.so.6", "Tag_THUMB_ISA_use") self.assertEqual(isa, "Thumb-2") # Check we have the sysroot symlink symlink = os.path.join(self.builddir, "staging", "thumb2") self.assertTrue(os.path.exists(symlink)) self.assertEqual(os.readlink(symlink), "./") # Boot the system img = os.path.join(self.builddir, "images", "rootfs.cpio") self.emulator.boot(arch="armv7", kernel="builtin", options=["-initrd", img]) self.emulator.login() class TestExternalToolchainLinaroArm(TestExternalToolchain): config = BASIC_CONFIG + \ """ BR2_arm=y BR2_cortex_a8=y BR2_TOOLCHAIN_EXTERNAL=y BR2_TOOLCHAIN_EXTERNAL_LINARO_ARM=y """ toolchain_prefix = "arm-linux-gnueabihf" def test_run(self): TestExternalToolchain.common_check(self) # Check the architecture variant arch = infra.get_file_arch(self.builddir, self.toolchain_prefix, "lib/libc.so.6") self.assertEqual(arch, "v7") isa = infra.get_elf_arch_tag(self.builddir, self.toolchain_prefix, "lib/libc.so.6", "Tag_THUMB_ISA_use") self.assertEqual(isa, "Thumb-2") # Boot the system img = os.path.join(self.builddir, "images", "rootfs.cpio") self.emulator.boot(arch="armv7", kernel="builtin", options=["-initrd", img]) self.emulator.login()

33.694268

71

0.576181

563

5,290

5.236234

0.20071

0.065129

0.033921

0.042741

0.798168

0.77137

0.760176

0.7154

0.671303

0.669607

0

0.013034

0.318336

5,290

156

72

33.910256

0.804493

0.051607

0

0.702128

0

0.096524

0.014611

0

0.138298

1

0.06383

false

0

0.021277

0

0.244681

0

null

0

1

0

1

0

1

0

null

0

5

9be676915d0532181e6c71c5e2b1c38885c5507c

11,307

py

Python

failure/app_before.py

Freedomisgood/Njupt_AutoJudge_requests

fcd9a10b12ffe25d8b5420e8b7138b970848a96a

[ "MIT" ]

5

2019-12-02T14:58:56.000Z

2021-04-22T08:00:50.000Z

failure/app_before.py

Freedomisgood/Njupt_AutoJudge_requests

fcd9a10b12ffe25d8b5420e8b7138b970848a96a

[ "MIT" ]

1

2021-09-07T06:17:49.000Z

failure/app_before.py

Freedomisgood/Njupt_AutoJudge_requests

fcd9a10b12ffe25d8b5420e8b7138b970848a96a

[ "MIT" ]

1

2021-03-28T09:06:34.000Z

# -*- coding: utf-8 -*- # @Time : 2019/12/1 21:44 # @Author : Mrli # @FileName: test.py # @Cnblogs ：https://nymrli.top/ import re import random import requests from lxml import etree from njupt import Zhengfang from bs4 import BeautifulSoup from urllib.parse import parse_qs, urlencode from config import * # headers = dict([line.split(":",1) for line in raw_headers.split("\n") if line]) # 使用charles抓包 proxy = { 'http': '127.0.0.1:8888' } class Course(): ''' 课程测评 ''' def __init__(self, account, zf): self.zf = zf self.account = account # @staticmethod # def getcourses(account, cookies): def getcourses(self, account): ''' 通过首页,获得所有课程ID :return: ''' # 首页 index_url = 'http://jwxt.njupt.edu.cn/xs_main.aspx?xh={account}'.format(account=account) # html = getattr(requests, 'get')(url=index_url, headers=headers, cookies=cookies) html = self.zf.get(index_url) content = etree.HTML(html.text) coursesList = [] for c in content.xpath('//*[@id="headDiv"]/ul/li[4]/ul/li'): class_url_suffix = c.xpath('a/@href')[0] # 课程编号 course_id = parse_qs(class_url_suffix).get('xsjxpj.aspx?xkkh')[0] coursesList.append(course_id) return coursesList def getFirstVIEWSTATE(self, course_id): ''' 通过首页的VIEWSTATE,找到指定课程pjkc的__VIEWSTATE :param classID: 爬取到的第一个课程ID :return: 指定课程pjkc的__VIEWSTATE ''' data = { '__EVENTTARGET': '', '__EVENTARGUMENT': '', # 需要填充pjkc、__VIEWSTATE、Button1(保存、提交)、DataGrid1:_ctl7:JS1 'pjxx': '', 'Button1': '保存', } target_url = 'http://jwxt.njupt.edu.cn/xs_jsmydpj.aspx?xkkh={classID}&xh={account}'. \ format(classID=course_id, account=self.account) view = self.zf._get_viewstate(target_url) # 获得classID提交需要的首页__VIEWSTATE data['__VIEWSTATE'] = view # 指定需要获取课程的__VIEWSTATE data['pjkc'] = course_id r = self.zf.post(target_url, data=data) soup = BeautifulSoup(r.content, 'lxml') viewstate = soup.find('input', attrs={"name": "__VIEWSTATE"}).get("value") return viewstate def saveComment(self, course_id, data): ''' 编码数据,并保存 :param classID: 需要评价的课程 :param data: 未编码的数据 :return: ''' target_url = 'http://jwxt.njupt.edu.cn/xs_jsmydpj.aspx?xkkh={classID}&xh={account}'. \ format(classID=course_id, account=self.account) data['Button1'] = '保存' data_gb2312 = urlencode(data, encoding='gb2312') # html = self.zf.post(target_url, data=data_gb2312, proxies=proxy, headers=headers) html = self.zf.post(target_url, data=data_gb2312, headers=headers) if html.status_code == 200: print("成功提交") def commitComment(self, course_id, data): ''' 编码数据,并提交 :param classID: 需要评价的课程 :param data: 未编码的数据 :return: ''' target_url = 'http://jwxt.njupt.edu.cn/xs_jsmydpj.aspx?xkkh={classID}&xh={account}'. \ format(classID=course_id, account=self.account) data['Button2'] = '提交' data_gb2312 = urlencode(data, encoding='gb2312') # html = self.zf.post(target_url, data=data_gb2312, proxies=proxy, headers=headers) html = self.zf.post(target_url, data=data_gb2312, headers=headers) if html.status_code == 200: print("成功提交") def getInputnums(self, course_id): ''' 通过课程ID获得下面需要提交的选项, 返回一个dict :param course_id: :return: ''' course_url = 'http://jwxt.njupt.edu.cn/xs_jsmydpj.aspx?xkkh={classID}&xh={stuID}'. \ format(classID=course_id, stuID=self.account) # 获取网页 html = self.zf.get_soup(course_url) option = html.find_all('select', attrs={'id': re.compile('DataGrid1__ctl\d+_JS\d+')}) # print(option) if option: # 获得最后一个选项的id内容 title = option[-1].get('id') # 处理选项信息 lastinput = re.search('DataGrid1__ctl(\d+)_JS(\d+)', title) row, col = int(lastinput.group(1)), int(lastinput.group(2)) data = {} if row and col: for c in range(1, col+1): # 从1开始 for r in range(2, row+1): # 从2开始 # data['DataGrid1:_ctl{rank}:JS1'.format(rank=rank)] = map_dict.get('完全认同') data['DataGrid1:_ctl{row}:JS{col}'.format(row=r, col=c)] = '完全认同' # data['DataGrid1:_ctl{rank}:JS1'.format(rank=random.randint(2, biggest))] = map_dict.get('勉强认同') data['DataGrid1:_ctl{row}:JS{col}'.format(row=random.randint(2, row), col=c)] = '勉强认同' else: raise Exception('选项获取失败') return data def run(self, courses: list): for n, c in enumerate(courses): base = { '__EVENTTARGET': '', '__EVENTARGUMENT': '', # 需要填充pjkc、__VIEWSTATE、Button1(保存、提交)、DataGrid1:_ctl7:JS1 'pjxx': '', # 'Button1': '保存', } # 生成选项 grids_data = self.getInputnums(c) # print(grids_data) # 找到该课程的__VIEWSTATE base['__VIEWSTATE'] = self.getFirstVIEWSTATE(c) # 指定课程 base['pjkc'] = c # 提交选项-->使用不同函数决定保存还是提交 # base['Button1'] = '保存' # 合并数据 postdata = dict(base, **grids_data) self.saveComment(c, postdata) if n == len(courses)-1: self.commitComment(c, postdata) class Teacher(): ''' 教师测评 ''' def __init__(self, account, zf): self.zf = zf self.account = account def getFirstVIEWSTATE(self, course_id): ''' 通过首页的VIEWSTATE,找到指定课程pjkc的__VIEWSTATE :param classID: 爬取到的第一个课程ID :return: 指定课程pjkc的__VIEWSTATE ''' data = { '__EVENTTARGET': '', '__EVENTARGUMENT': '', # 需要填充pjkc、__VIEWSTATE、Button1(保存、提交)、DataGrid1:_ctl7:JS1 'pjxx': '', 'Button1': '保存', } target_url = 'http://jwxt.njupt.edu.cn/xsjxpj.aspx?xkkh={classID}&xh={account}'. \ format(classID=course_id, account=self.account) view = self.zf._get_viewstate(target_url) # 获得classID提交需要的首页__VIEWSTATE data['__VIEWSTATE'] = view # 指定需要获取课程的__VIEWSTATE data['pjkc'] = course_id r = self.zf.post(target_url, data=data) soup = BeautifulSoup(r.content, 'lxml') viewstate = soup.find('input', attrs={"name": "__VIEWSTATE"}).get("value") return viewstate def getInputnums(self, course_id): ''' 通过课程ID获得下面需要提交的选项, 返回一个dict :param course_id: :return: ''' course_url = 'http://jwxt.njupt.edu.cn/xsjxpj.aspx?xkkh={classID}&xh={stuID}'. \ format(classID=course_id, stuID=self.account) # 获取网页 html = self.zf.get_soup(course_url) # 找到最后一个选项 option = html.find_all('select', attrs={'id': re.compile('DataGrid1__ctl\d+_JS\d+')}) if option: # 获得最后一个选项的id内容 title = option[-1].get('id') # 处理选项信息 lastinput = re.search('DataGrid1__ctl(\d+)_JS(\d+)', title) row, col = int(lastinput.group(1)), int(lastinput.group(2)) data = {} if row and col: for c in range(1, col+1): # 从1开始 for r in range(2, row+1): # 从2开始 data['DataGrid1:_ctl{row}:JS{col}'.format(row=r, col=c)] = '好' data['DataGrid1:_ctl{row}:txtjs{col}'.format(row=r, col=c)] = '' randOption = random.randint(2, row) data['DataGrid1:_ctl{row}:JS{col}'.format(row=randOption, col=c)] = '较好' data['DataGrid1:_ctl{row}:txtjs{col}'.format(row=randOption, col=c)] = '' else: raise Exception('选项获取失败') return data def saveComment(self, course_id, data): ''' 编码数据,并保存 :param classID: 需要评价的课程 :param data: 未编码的数据 :return: ''' target_url = 'http://jwxt.njupt.edu.cn/xsjxpj.aspx?xkkh={classID}&xh={account}'. \ format(classID=course_id, account=self.account) data['Button1'] = '保存' data['txt1'] = '' data['TextBox1'] = '0' data_gb2312 = urlencode(data, encoding='gb2312') # html = self.zf.post(target_url, data=data_gb2312, proxies=proxy, headers=headers) html = self.zf.post(target_url, data=data_gb2312, headers=headers) if html.status_code == 200: print("成功提交") def commitComment(self, course_id, data): ''' 编码数据,并提交 :param classID: 需要评价的课程 :param data: 未编码的数据 :return: ''' target_url = 'http://jwxt.njupt.edu.cn/xsjxpj.aspx?xkkh={classID}&xh={account}'. \ format(classID=course_id, account=self.account) data['Button2'] = '提交' data['txt1'] = '' data['TextBox1'] = '0' data_gb2312 = urlencode(data, encoding='gb2312') # html = self.zf.post(target_url, data=data_gb2312, proxies=proxy, headers=headers) html = self.zf.post(target_url, data=data_gb2312, headers=headers) if html.status_code == 200: print("成功提交") def run(self, courses: list): for n, c in enumerate(courses): base = { '__EVENTTARGET': '', '__EVENTARGUMENT': '', # 需要填充pjkc、__VIEWSTATE、Button1(保存、提交)、DataGrid1:_ctl7:JS1 'pjxx': '', # 'Button1': '保存', } # 生成选项 grids_data = self.getInputnums(c) # 找到该课程的__VIEWSTATE base['__VIEWSTATE'] = self.getFirstVIEWSTATE(c) # # 指定课程 base['pjkc'] = c # # 合并数据 postdata = dict(base, **grids_data) self.saveComment(c, postdata) if n == len(courses)-1: self.commitComment(c, postdata) class AutoJudge(Zhengfang): def __init__(self, *args, **kwargs): super(AutoJudge, self).__init__(*args, **kwargs) if self.account: self.account = kwargs.get('account') self.c = Course(account=self.account, zf=self) self.t = Teacher(account=self.account, zf=self) else: raise Exception("请输入账号密码") def run(self): # 获得该学期所有课程 # courses = Course.getcourses(account=self.account, cookies=self.cookies) courses = self.c.getcourses(account=self.account) if courses: # 完成课程评价 self.c.run(courses) print('---课程评价完成---') # # # 完成老师评价 self.t.run(courses) print('---教师评价完成---') else: print("接口未开放or已经全部测评完！") if __name__ == '__main__': account = input('请输入您的学号:') password = input('请输入正方的密码:') agent = AutoJudge(account=account, password=password) agent.run()

35.556604

117

0.546033

1,241

11,307

4.818695

0.178888

0.029431

0.018395

0.026756

0.768896

0.76087

0.755351

0.731773

0.708696

0

0.021963

0.3114

11,307

317

118

35.66877

0.746083

0.18661

0

0.695187

0

0.042781

0.162029

0.034467

0

1

0.080214

false

0.010695

0.042781

0

0.165775

0.037433

0

null

0

1

0

null

0

5

9becfcf5dc9610fb0a160686965f6b75a539492e

163

py

Python

gdb_comments/integrations/pwndbg_utils.py

supersam654/gdb-comments

e20f87b84649609a1d6a34611bc68956cf620274

[ "MIT" ]

null

gdb_comments/integrations/pwndbg_utils.py

supersam654/gdb-comments

e20f87b84649609a1d6a34611bc68956cf620274

[ "MIT" ]

null

gdb_comments/integrations/pwndbg_utils.py

supersam654/gdb-comments

e20f87b84649609a1d6a34611bc68956cf620274

[ "MIT" ]

null

import pwndbg def info(s): print(s) def error(s): # It's good enough for printing exceptions and it's good enough for me. print(pwndbg.color.red(s))

18.111111

75

0.674847

29

163

3.793103

0.586207

0.054545

0.127273

0.236364

0.290909

0

0.214724

163

8

76

20.375

0.859375

0.423313

0

1

0.4

false

0

0.2

0

0.6

0.4

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

9bed5e2beef67d207d447349d1375d4367420387

54

py

Python

polyaxon/schemas/frameworks.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/schemas/frameworks.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/schemas/frameworks.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

from polyaxon_schemas.utils import Frameworks # noqa

27

53

0.833333

7

54

6.285714

1

0

0.12963

54

1

54

0.93617

0.074074

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5