xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

4744126e2e06c3beef38b28a9c116122cf8d8796

44

py

Python

source/__init__.py

kamarenmccord/command_line_groceries

43f8c7e4ef151289c3eca8e8d3a1cc0ff2b87287

[ "MIT" ]

null

source/__init__.py

kamarenmccord/command_line_groceries

43f8c7e4ef151289c3eca8e8d3a1cc0ff2b87287

[ "MIT" ]

null

source/__init__.py

kamarenmccord/command_line_groceries

43f8c7e4ef151289c3eca8e8d3a1cc0ff2b87287

[ "MIT" ]

null

# allows source to be imported as a package

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null

0

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0

5

47aaaa3b1654724f958e6186216dbd0323a86e5e

908

py

Python

server/app/configuration.py

It4innovations/snailwatch

ced9574dc07371390b70d3325d1a235e805cb8ee

[ "MIT" ]

8

2018-10-16T14:32:49.000Z

2021-07-31T18:26:43.000Z

server/app/configuration.py

patrikduch/snailwatch

ced9574dc07371390b70d3325d1a235e805cb8ee

[ "MIT" ]

17

2019-05-27T19:37:56.000Z

2022-03-15T19:02:26.000Z

server/app/configuration.py

patrikduch/snailwatch

ced9574dc07371390b70d3325d1a235e805cb8ee

[ "MIT" ]

2

2021-07-30T17:32:47.000Z

2021-07-31T18:30:43.000Z

import os def get_option(name, default=None): return os.environ.get(name, default) def get_server_port(): return int(get_option('PORT', 5000)) def get_admin_token(): return get_option('ADMIN_TOKEN') def get_mongo_host(): return get_option('MONGO_HOST', 'localhost') def get_mongo_port(): return int(get_option('MONGO_PORT', 27017)) def get_mongo_db(): return get_option('MONGO_DB', 'snailwatch') def get_mongo_username(): return get_option('MONGO_USERNAME') def get_mongo_password(): return get_option('MONGO_PASSWORD') def get_smtp_server(): return get_option('SMTP_SERVER', 'localhost') def get_smtp_user(): return get_option('SMTP_USER') def get_smtp_password(): return get_option('SMTP_PASSWORD') def get_email_sender(): return get_option('EMAIL_SENDER', get_smtp_user()) def get_public_url(): return get_option('PUBLIC_URL')

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47ca7d8314d34f05978c0e794bb0ca2452ff3162

153

py

Python

papagias_pkg_1/my_papagias.py

chpalyvos/papagias

cf321482bfa6fa5ae858c4f631e6a803836bb46f

[ "MIT" ]

null

papagias_pkg_1/my_papagias.py

chpalyvos/papagias

cf321482bfa6fa5ae858c4f631e6a803836bb46f

[ "MIT" ]

null

papagias_pkg_1/my_papagias.py

chpalyvos/papagias

cf321482bfa6fa5ae858c4f631e6a803836bb46f

[ "MIT" ]

null

def ordering_fries(): print("Can I have some fried potatoes please?") def countries_papagias_preferes(): print("Albania-Bulgaria-Romania...!")

21.857143

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null

0

1

0

1

0

5

47de86863bf31c45b50e12f516d53273f1623789

177

py

Python

src/invoice_medicine/forms.py

vandana0608/Pharmacy-Managament

f99bdec11c24027a432858daa19247a21cecc092

[ "bzip2-1.0.6" ]

null

src/invoice_medicine/forms.py

vandana0608/Pharmacy-Managament

f99bdec11c24027a432858daa19247a21cecc092

[ "bzip2-1.0.6" ]

null

src/invoice_medicine/forms.py

vandana0608/Pharmacy-Managament

f99bdec11c24027a432858daa19247a21cecc092

[ "bzip2-1.0.6" ]

null

from django import forms from .models import invoice_medicine class InvoiceMedicineForm(forms.ModelForm): class Meta: model = invoice_medicine exclude = ()

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6.631579

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7

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1

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null

0

1

0

1

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5

9a21107fd4942a76108099c019412dbebbeb0163

130

py

Python

setup.py

bitkeen/base16-prompt-toolkit

6ceac26dc087290429f4f85fe237b1b101eba85e

[ "MIT" ]

null

setup.py

bitkeen/base16-prompt-toolkit

6ceac26dc087290429f4f85fe237b1b101eba85e

[ "MIT" ]

null

setup.py

bitkeen/base16-prompt-toolkit

6ceac26dc087290429f4f85fe237b1b101eba85e

[ "MIT" ]

null

from setuptools import setup setup( version=1.0, name='base16-prompt-toolkit', packages=['base16_prompt_toolkit'] )

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0.7

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null

0

1

0

5

9a473b2057481be83baa0bff31178e626483c238

55

py

Python

lattedb/status/models/__init__.py

callat-qcd/lattedb

75c06748f3d59332a84ec1b5794c215c5974a46f

[ "BSD-3-Clause" ]

1

2019-12-11T02:33:23.000Z

lattedb/status/models/__init__.py

callat-qcd/lattedb

75c06748f3d59332a84ec1b5794c215c5974a46f

[ "BSD-3-Clause" ]

10

2020-01-29T17:06:01.000Z

2021-05-31T14:41:19.000Z

lattedb/status/models/__init__.py

callat-qcd/lattedb

75c06748f3d59332a84ec1b5794c215c5974a46f

[ "BSD-3-Clause" ]

null

from lattedb.status.models.correlator import Baryon2pt

27.5

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5

9a620835bfcd7b0f65749c4ad7856f639ade222c

133

py

Python

osuData/utility/__init__.py

LostPy/OsuData

7db3a2f7e7bd166c7d08b2c02f9e391370961668

[ "MIT" ]

4

2020-12-31T19:25:20.000Z

2021-09-19T18:02:50.000Z

osuData/utility/__init__.py

LostPy/OsuData

7db3a2f7e7bd166c7d08b2c02f9e391370961668

[ "MIT" ]

1

2020-11-29T22:14:25.000Z

osuData/utility/__init__.py

LostPy/OsuData

7db3a2f7e7bd166c7d08b2c02f9e391370961668

[ "MIT" ]

3

2020-11-29T22:19:50.000Z

2021-04-14T08:23:32.000Z

14.777778

40

0.759398

18

133

5.611111

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0.070796

0.150376

133

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14.777778

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true

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null

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1

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1

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5

7bda09cd1eec9bd713a81a85106746853ca60061

77

py

Python

Dinos/Sauropod/Bone_Sauropod_Character_BP.Bone_Sauropod_Character_BP.py

cutec-chris/sce-PrimalEarth

4e7a45acffc57a455a7668af1a954004668c3085

[ "MIT" ]

null

Dinos/Sauropod/Bone_Sauropod_Character_BP.Bone_Sauropod_Character_BP.py

cutec-chris/sce-PrimalEarth

4e7a45acffc57a455a7668af1a954004668c3085

[ "MIT" ]

null

Dinos/Sauropod/Bone_Sauropod_Character_BP.Bone_Sauropod_Character_BP.py

cutec-chris/sce-PrimalEarth

4e7a45acffc57a455a7668af1a954004668c3085

[ "MIT" ]

null

import sys,sce class Bone_Sauropod_Character_BP(sce.Event Creatures): pass

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77

5.083333

0.916667

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1

0

null

0

1

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1

0

5

d00ac051bed776c23cd3c453d7f0d808fb96dd08

42

py

Python

kalman/metrics.py

sourabbapusridhar/vehicle-state-estimation

8c0fd31c2d72e7a078e1bc4241c472e16c8046a6

[ "MIT" ]

null

kalman/metrics.py

sourabbapusridhar/vehicle-state-estimation

8c0fd31c2d72e7a078e1bc4241c472e16c8046a6

[ "MIT" ]

null

kalman/metrics.py

sourabbapusridhar/vehicle-state-estimation

8c0fd31c2d72e7a078e1bc4241c472e16c8046a6

[ "MIT" ]

null

# Implementation of Metric Tracker Methods

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1

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5

d023629849ed244c32f63c1eac0debfeafd2f7ce

73

py

Python

py-time.py

ganmk/python-prctice

799529536776052fd40e89f8bf0c08dd1e03ed1c

[ "MIT" ]

null

py-time.py

ganmk/python-prctice

799529536776052fd40e89f8bf0c08dd1e03ed1c

[ "MIT" ]

null

py-time.py

ganmk/python-prctice

799529536776052fd40e89f8bf0c08dd1e03ed1c

[ "MIT" ]

null

import time print time.strftime('%Y-%m-%d',time.localtime(time.time()))

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73

4.25

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1

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1

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5

d066d487c081e8ee0046a5bb287045ddf9e23891

155

py

Python

sonata/datamodules/__init__.py

sergevkim/sonata

2250b60174628ee76fb7d54bf50e4b8b07b505d5

[ "MIT" ]

1

2021-03-15T19:01:43.000Z

sonata/datamodules/__init__.py

sergevkim/sonata

2250b60174628ee76fb7d54bf50e4b8b07b505d5

[ "MIT" ]

null

sonata/datamodules/__init__.py

sergevkim/sonata

2250b60174628ee76fb7d54bf50e4b8b07b505d5

[ "MIT" ]

null

from .base_datamodule import BaseDataModule from .landscapes_datamodule import LandscapesDataModule from .protostar_datamodule import ProtostarDataModule

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true

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5

d07335023b352d4646eecad9456eb4e50cb6a720

162

py

Python

src/vmshepherd/presets/__init__.py

DreamLab/VmShepherd

f602bb814080d2d3f62c6cb5fa6b9dd685833c24

[ "Apache-2.0" ]

10

2018-06-10T17:54:57.000Z

2022-02-07T19:37:07.000Z

src/vmshepherd/presets/__init__.py

DreamLab/VmShepherd

f602bb814080d2d3f62c6cb5fa6b9dd685833c24

[ "Apache-2.0" ]

10

2018-06-10T18:46:07.000Z

2021-05-13T13:01:22.000Z

src/vmshepherd/presets/__init__.py

DreamLab/VmShepherd

f602bb814080d2d3f62c6cb5fa6b9dd685833c24

[ "Apache-2.0" ]

3

2019-07-18T14:10:10.000Z

2022-02-07T19:37:08.000Z

from .abstract import AbstractConfigurationDriver # noqa from .directory_driver import DirectoryDriver # noqa from .gitrepo_driver import GitRepoDriver # noqa

40.5

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5

d07726384faaa2ad28256e6e47040dc062a849c3

130

py

Python

python-sdk/nuscenes/eval/tracking/evaluate.py

tanjiangyuan/Classification_nuScence

b94c4b0b6257fc1c048a676e3fd9e71183108d53

[ "Apache-2.0" ]

null

python-sdk/nuscenes/eval/tracking/evaluate.py

tanjiangyuan/Classification_nuScence

b94c4b0b6257fc1c048a676e3fd9e71183108d53

[ "Apache-2.0" ]

null

python-sdk/nuscenes/eval/tracking/evaluate.py

tanjiangyuan/Classification_nuScence

b94c4b0b6257fc1c048a676e3fd9e71183108d53

[ "Apache-2.0" ]

null

version https://git-lfs.github.com/spec/v1 oid sha256:10bebaccabc80ac78b14b3c1eca12f670f207714026ad0d3d661054ff008894d size 12167

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1

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5

d095b96cc1450176cca6f9520ac66f550dd20d63

1,011

py

Python

cf_farrier.py

pmlandwehr/cf-farrier

1080b33c07f35bcdf7f63d59de1d5d175e8508c6

[ "BSD-3-Clause" ]

null

cf_farrier.py

pmlandwehr/cf-farrier

1080b33c07f35bcdf7f63d59de1d5d175e8508c6

[ "BSD-3-Clause" ]

null

cf_farrier.py

pmlandwehr/cf-farrier

1080b33c07f35bcdf7f63d59de1d5d175e8508c6

[ "BSD-3-Clause" ]

null

#!/usr/bin/env conda-execute # conda execute # env: # - python ==3.5 # - conda-build # - pygithub >=1.29 # - pyyaml # - requests # - setuptools # - tqdm # channels: # - conda-forge # run_with: python # TODO take package or list of packages # TODO take github url or github urls # TODO If user doesn't have a fork of conda-forge create one # TODO if user doesn't have a branch for this package, create one # TODO run conda smithy pypi package # TODO If successful, parse generated meta.yaml # TODO Drop any meta.yaml build reqs # TODO Drop any test reqs # TODO Add sections to bring in line with the standard template # TODO Add variable to bring in line with the standard template # TODO change the setup script based on whether or not setuptools is required # TODO deal with license file # TODO commit the modified meta.yaml to user/staged-recipes:branch # TODO submit pull request to conda-forge/staged-recipes:master as a new recipe. def main(): return if __init__ == "__main__": main()

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d0ac4e198dfcecc54784ee62b891d2998d730715

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py

Python

bitmovin_api_sdk/notifications/emails/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/notifications/emails/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/notifications/emails/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.notifications.emails.emails_api import EmailsApi from bitmovin_api_sdk.notifications.emails.usage_reports.usage_reports_api import UsageReportsApi from bitmovin_api_sdk.notifications.emails.encoding.encoding_api import EncodingApi from bitmovin_api_sdk.notifications.emails.notification_list_query_params import NotificationListQueryParams

72.4

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5

ef710aee2a4c5909fb09e56198c70ebbc01635d8

76

py

Python

cloud_scanner/config/__init__.py

lyzlisa/cloud-scanner

eced85638bb61a8bb701fe53359a436caa7981bc

[ "MIT" ]

9

2019-05-29T19:54:19.000Z

2021-05-29T13:23:06.000Z

cloud_scanner/config/__init__.py

lyzlisa/cloud-scanner

eced85638bb61a8bb701fe53359a436caa7981bc

[ "MIT" ]

2

2018-10-23T18:48:07.000Z

2018-10-25T16:03:10.000Z

cloud_scanner/config/__init__.py

lyzlisa/cloud-scanner

eced85638bb61a8bb701fe53359a436caa7981bc

[ "MIT" ]

52

2019-04-29T18:55:36.000Z

2020-09-22T08:21:57.000Z

from .configuration import Config from .process_config import ProcessConfig

25.333333

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ef75c913014835ec61c926edbcdf50963a52e0b8

150

py

Python

hostel/admin.py

bhaveshpraveen/VIT-Pugaar

0a33b264939287071ddaffef4ab1f2ef9a38de87

[ "MIT" ]

null

hostel/admin.py

bhaveshpraveen/VIT-Pugaar

0a33b264939287071ddaffef4ab1f2ef9a38de87

[ "MIT" ]

6

2017-11-11T08:43:55.000Z

2021-06-10T19:38:24.000Z

hostel/admin.py

bhaveshpraveen/VIT-Pugaar

0a33b264939287071ddaffef4ab1f2ef9a38de87

[ "MIT" ]

null

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

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true

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5

ef7badf555a062e8001543f128edae7d4fdb8121

376

py

Python

xii/assembler/__init__.py

MiroK/fenics_ii

58c41f0e8dba720962830395851e081b057269cc

[ "MIT" ]

10

2017-06-22T21:05:17.000Z

2020-09-25T08:36:59.000Z

xii/assembler/__init__.py

MiroK/fenics_ii

58c41f0e8dba720962830395851e081b057269cc

[ "MIT" ]

2

2018-04-14T08:43:59.000Z

2018-09-19T14:51:46.000Z

xii/assembler/__init__.py

MiroK/fenics_ii

58c41f0e8dba720962830395851e081b057269cc

[ "MIT" ]

6

2018-04-13T20:33:53.000Z

2020-09-25T08:37:01.000Z

from . trace_form import Trace from . average_form import Average from . extension_form import Extension from . restriction_form import Restriction from . injection_form import Injection from . point_trace_form import PointTrace from . xii_assembly import assemble as ii_assemble from . average_shape import Square, SquareRim, Circle, Disk from . block_form import block_form

37.6

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0.835106

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376

5.698113

0.396226

0.231788

0.099338

0

0.132979

376

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60

41.777778

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1

0

true

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0

1

0

null

0

1

0

1

0

1

0

5

ef800392bc426444be7e00760ed372e0b6bb5cf8

76

py

Python

ktane/solverutils/__init__.py

thecnoNSMB/ktane-mission-solver

237d969a8acd21533b5fb18cc5a47dd03ba1cc7d

[ "MIT" ]

1

2022-01-04T03:47:34.000Z

ktane/solverutils/__init__.py

thecnoNSMB/ktane-mission-solver

237d969a8acd21533b5fb18cc5a47dd03ba1cc7d

[ "MIT" ]

4

2021-04-13T07:03:37.000Z

2021-12-15T11:34:05.000Z

ktane/solverutils/__init__.py

thecnoNSMB/ktane-mission-solver

237d969a8acd21533b5fb18cc5a47dd03ba1cc7d

[ "MIT" ]

null

"Utilities that can be used by ModuleSolvers for computing various things."

38

75

0.815789

11

76

5.636364

1

0

0.144737

76

1

76

0.953846

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0

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true

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1

0

1

0

1

0

null

0

1

0

5

ef84ed3de53a5e50ddd687d77ebd0343600b2a45

56

py

Python

criterions/__init__.py

JunLi-Galios/pytorch-template

18038044b81238223770180300ff3cad0ca41978

[ "MIT" ]

1

2019-08-08T17:21:47.000Z

criterions/__init__.py

JunLi-Galios/pytorch-template

18038044b81238223770180300ff3cad0ca41978

[ "MIT" ]

null

criterions/__init__.py

JunLi-Galios/pytorch-template

18038044b81238223770180300ff3cad0ca41978

[ "MIT" ]

null

from .pair_losses import * from .triplet_losses import *

28

29

0.803571

8

56

5.375

0.625

0.55814

0

0.125

56

2

29

28

0.877551

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ef9afdae824d3ff9bc98be02f7d0de972e7ec005

156

py

Python

interprocedural_analyses/taint/test/integration/nested_callables.py

s-pace/pyre-check

2b71dcf22e4672567cfe0dfef356f11646d66244

[ "MIT" ]

5

2019-02-14T19:46:47.000Z

2020-01-16T05:48:45.000Z

interprocedural_analyses/taint/test/integration/nested_callables.py

s-pace/pyre-check

2b71dcf22e4672567cfe0dfef356f11646d66244

[ "MIT" ]

null

interprocedural_analyses/taint/test/integration/nested_callables.py

s-pace/pyre-check

2b71dcf22e4672567cfe0dfef356f11646d66244

[ "MIT" ]

2

2019-02-14T19:46:23.000Z

2020-07-13T03:53:04.000Z

# flake8: noqa def foo(): def inner(): x = __test_source() __test_sink(x) def inner_with_model(): return __test_source()

14.181818

30

0.564103

19

156

4.052632

0.631579

0.207792

0

0.009434

0.320513

156

10

31

15.6

0.716981

0.076923

0

1

0.5

false

0

0.166667

0.666667

0

1

0

null

1

0

null

0

1

0

1

0

5

efbb882d89e028a9ddc6e5dd7e26a2b0f8e2e5fb

57

py

Python

tests/unit/backend/wmg/data/test_corpus_validation.py

chanzuckerberg/dcp-prototype

24d2323ba5ae1482395da35ea11c42708e3a52ce

[ "MIT" ]

2

2020-02-07T18:12:12.000Z

2020-02-11T14:59:03.000Z

tests/unit/backend/wmg/data/test_corpus_validation.py

HumanCellAtlas/dcp-prototype

44ca66a266004124f39d7d3e3dd75e9076012ff0

[ "MIT" ]

173

2020-01-29T17:48:02.000Z

2020-03-20T02:52:58.000Z

tests/unit/backend/wmg/data/test_corpus_validation.py

HumanCellAtlas/dcp-prototype

44ca66a266004124f39d7d3e3dd75e9076012ff0

[ "MIT" ]

1

2020-03-20T17:06:54.000Z

def test_corpus_validation_checks__something(): pass

19

47

0.824561

7

57

6

1

0

0.122807

57

2

48

28.5

0.84

0

1

0.5

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

ef05f89997634145af70cae7d52c77529e14adb3

1,282

py

Python

site2/src/hotels/front/migrations/0002_auto_20200606_1109.py

Python-Cameroun/django-meetup-1

17703e3a0656aa30ab46d1ada8510af83d6b8cc2

[ "CNRI-Python" ]

null

site2/src/hotels/front/migrations/0002_auto_20200606_1109.py

Python-Cameroun/django-meetup-1

17703e3a0656aa30ab46d1ada8510af83d6b8cc2

[ "CNRI-Python" ]

null

site2/src/hotels/front/migrations/0002_auto_20200606_1109.py

Python-Cameroun/django-meetup-1

17703e3a0656aa30ab46d1ada8510af83d6b8cc2

[ "CNRI-Python" ]

null

# Generated by Django 2.2.13 on 2020-06-06 11:09 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('front', '0001_initial'), ] operations = [ migrations.AlterField( model_name='hotel', name='desc_2', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AlterField( model_name='hotel', name='desc_3', field=models.CharField(blank=True, max_length=255, null=True), ), migrations.AlterField( model_name='hotel', name='img_2', field=models.ImageField(blank=True, null=True, upload_to='hotels'), ), migrations.AlterField( model_name='hotel', name='img_3', field=models.ImageField(blank=True, null=True, upload_to='hotels'), ), migrations.AlterField( model_name='hotel', name='latitude', field=models.FloatField(blank=True, default=0, null=True), ), migrations.AlterField( model_name='hotel', name='longitude', field=models.FloatField(blank=True, default=0, null=True), ), ]

29.136364

79

0.555382

131

1,282

5.320611

0.351145

0.172166

0.215208

0.249641

0.76901

0.694405

0.639885

0.507891

0

0.036613

0.318253

1,282

43

80

29.813953

0.76087

0.035881

0

0.648649

1

0

0.079417

0

1

0

false

0

0.027027

0

0.108108

0

null

0

1

0

1

0

1

0

null

0

5

ef307070758233f1bcf09827f06fafbb0b877477

81

py

Python

variables_samples/variable_files/variable_file_special_func.py

thinkAmi-sandbox/RobotFramework-sample

86455e912ac132350b8aacb430de9f060b9d722a

[ "Unlicense" ]

9

2017-12-20T23:10:33.000Z

2020-11-27T06:22:05.000Z

variables_samples/variable_files/variable_file_special_func.py

thinkAmi-sandbox/RobotFramework-sample

86455e912ac132350b8aacb430de9f060b9d722a

[ "Unlicense" ]

1

2021-06-01T22:03:43.000Z

variables_samples/variable_files/variable_file_special_func.py

thinkAmi-sandbox/RobotFramework-sample

86455e912ac132350b8aacb430de9f060b9d722a

[ "Unlicense" ]

2

2018-05-21T00:16:11.000Z

2019-11-04T13:43:57.000Z

def get_variables(): return { 'SPECIAL_FUNC': {'hoge': 'fuga'} }

16.2

40

0.518519

8

81

5

1

0

0.296296

81

4

41

20.25

0.701754

0

0.246914

0

1

0.25

true

0

0.25

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ef3f5a6f6d0b8e505b057dfebc94ab51851a4a70

146

py

Python

go_template/__init__.py

mopeneko/go-template

9b1749b573d08a78bf416e52b2bf9c11f1d8c765

[ "MIT" ]

null

go_template/__init__.py

mopeneko/go-template

9b1749b573d08a78bf416e52b2bf9c11f1d8c765

[ "MIT" ]

null

go_template/__init__.py

mopeneko/go-template

9b1749b573d08a78bf416e52b2bf9c11f1d8c765

[ "MIT" ]

null

# coding=utf-8 from ._version import get_versions __version__ = get_versions()['version'] del get_versions from .wrapper import render_template

18.25

39

0.80137

20

146

5.4

0.6

0.305556

0.333333

0

0.007752

0.116438

146

7

40

20.857143

0.829457

0.082192

0

0.05303

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

ef60ccd0ec5d52e0a566d704eb0687b89c0ae65e

122

py

Python

identity.py

SoftwareEngineering4Scientists/python_primer

5ef64bc8955a1c236f28115a041466b8f8d2d09d

[ "MIT" ]

null

identity.py

SoftwareEngineering4Scientists/python_primer

5ef64bc8955a1c236f28115a041466b8f8d2d09d

[ "MIT" ]

null

identity.py

SoftwareEngineering4Scientists/python_primer

5ef64bc8955a1c236f28115a041466b8f8d2d09d

[ "MIT" ]

null

# Has the same id a = [1, 2, 3] c = a print(id(a), id(c)) # Has a different id b = 42 print(id(b)) b = '42' print(id(b))

11.090909

20

0.540984

29

122

2.275862

0.448276

0.318182

0.242424

0.30303

0.333333

0

0.075269

0.237705

122

10

21

12.2

0.634409

0.278689

0

0.285714

0

0.023529

0

1

0

false

0

0.428571

1

0

null

1

0

null

0

1

0

5

3281aa78aa9ca66f4c62c44f9dca22833965fd68

25

py

Python

xplore/__init__.py

ashishpatel26/xplore

3ab09d42b843fc271b331574d928e629889405e5

[ "MIT" ]

null

xplore/__init__.py

ashishpatel26/xplore

3ab09d42b843fc271b331574d928e629889405e5

[ "MIT" ]

null

xplore/__init__.py

ashishpatel26/xplore

3ab09d42b843fc271b331574d928e629889405e5

[ "MIT" ]

1

2019-10-14T10:50:29.000Z

from .main import Xplorer

25

0.84

4

25

5.25

1

0

0.12

25

1

25

0.954545

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

328ded10f2120f3cc1dcd3572cca1272b4384d76

835

py

Python

datastruct/stack/ArrayStack.py

LibertyDream/algorithm_data_structure

5d143d04d001a9b8aef30334881d0af56d8c9850

[ "MIT" ]

null

datastruct/stack/ArrayStack.py

LibertyDream/algorithm_data_structure

5d143d04d001a9b8aef30334881d0af56d8c9850

[ "MIT" ]

null

datastruct/stack/ArrayStack.py

LibertyDream/algorithm_data_structure

5d143d04d001a9b8aef30334881d0af56d8c9850

[ "MIT" ]

null

from Array import Array from Stack import Stack class ArrayStack(Stack): def __init__(self, capacity: int = 10): self.__data = Array(capacity) def peek(self): return self.__data.get_last() def push(self, ele): self.__data.add_to_last(ele) def get_size(self): return self.__data.get_size() def pop(self): return self.__data.remove_last() def is_empty(self): return self.__data.is_empty() def __str__(self): bstr = 'ArrayStack size: %d, capacity: %d\n' % (self.__data.get_size(), self.__data.get_capacity()) bstr += '[' for i in range(self.__data.get_size()): bstr += '' + str(self.__data.get(i)) if i != self.__data.get_size() - 1: bstr += ', ' bstr += '] top' return bstr

26.09375

107

0.573653

110

835

3.972727

0.336364

0.201373

0.176201

0.16476

0.09611

0

0.005059

0.28982

835

31

108

26.935484

0.731872

0

0.051497

0

1

0.291667

false

0

0.083333

0.166667

0.625

0

null

1

0

1

0

null

0

1

0

1

0

5

328ff3cad667482c7f3321316f7d5d7c37343960

77

py

Python

src/Parser/__init__.py

ChalkCode/cool-compiler-2021

9bab662676c3281b496aad63228583db4a7244db

[ "MIT" ]

null

src/Parser/__init__.py

ChalkCode/cool-compiler-2021

9bab662676c3281b496aad63228583db4a7244db

[ "MIT" ]

null

src/Parser/__init__.py

ChalkCode/cool-compiler-2021

9bab662676c3281b496aad63228583db4a7244db

[ "MIT" ]

1

2022-02-24T17:16:42.000Z

from .evaluation import evaluate_reverse_parse from .parser import CoolParser

38.5

46

0.883117

10

77

6.6

0.8

0

0.090909

77

2

47

38.5

0.942857

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

088b0e7d07d22a95bb2aeaf63351d28ab2cb85e1

149

py

Python

hbutils/color/__init__.py

HansBug/hbutils

6872311c8a441c5955572e0093b10189a2b90708

[ "Apache-2.0" ]

null

hbutils/color/__init__.py

HansBug/hbutils

6872311c8a441c5955572e0093b10189a2b90708

[ "Apache-2.0" ]

25

2021-10-03T06:19:05.000Z

2022-03-27T12:48:57.000Z

hbutils/color/__init__.py

HansBug/hbutils

6872311c8a441c5955572e0093b10189a2b90708

[ "Apache-2.0" ]

null

""" Overview: Color module, include the basic color system model, and some simple color utilities. """ from .model import * from .utils import *

21.285714

88

0.718121

20

149

5.35

0.75

0

0.187919

149

6

89

24.833333

0.884298

0.657718

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

08a5626bf79801fffb1d49f8b05b5cd6a34ace91

51

py

Python

sol/sol_big_diff.py

igamberdievhasan/codingbat-notebooks

b0a41f22b9064efc7f7f7da55e8c99fc21ce364d

[ "Apache-2.0" ]

null

sol/sol_big_diff.py

igamberdievhasan/codingbat-notebooks

b0a41f22b9064efc7f7f7da55e8c99fc21ce364d

[ "Apache-2.0" ]

6

2020-03-02T20:59:43.000Z

2020-03-18T01:20:30.000Z

sol/sol_big_diff.py

igamberdievhasan/codingbat-notebooks

b0a41f22b9064efc7f7f7da55e8c99fc21ce364d

[ "Apache-2.0" ]

1

2020-03-13T02:48:04.000Z

def big_diff(nums): return max(nums) - min(nums)

17

30

0.686275

9

51

3.777778

0.777778

0

0.156863

51

2

31

25.5

0.790698

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

08c071d1ba142ebcd5f0692630b36ad1cf47c74c

6,900

py

Python

Algorithm.Python/stubs/QuantConnect/Data/Custom/__init__.py

gaoxiaojun/Lean

9dca43bccb720d0df91e4bfc1d363b71e3a36cb5

[ "Apache-2.0" ]

2

2020-12-08T11:27:20.000Z

2021-04-06T13:21:15.000Z

Algorithm.Python/stubs/QuantConnect/Data/Custom/__init__.py

gaoxiaojun/Lean

9dca43bccb720d0df91e4bfc1d363b71e3a36cb5

[ "Apache-2.0" ]

null

Algorithm.Python/stubs/QuantConnect/Data/Custom/__init__.py

gaoxiaojun/Lean

9dca43bccb720d0df91e4bfc1d363b71e3a36cb5

[ "Apache-2.0" ]

1

2020-12-08T11:27:21.000Z

import typing import System.IO import System import QuantConnect.Data.Custom import QuantConnect.Data import QuantConnect import datetime # no functions # classes class FxcmVolume(QuantConnect.Data.BaseData, QuantConnect.Data.IBaseData): """ FXCM Real FOREX Volume and Transaction data from its clients base, available for the following pairs: - EURUSD, USDJPY, GBPUSD, USDCHF, EURCHF, AUDUSD, USDCAD, NZDUSD, EURGBP, EURJPY, GBPJPY, EURAUD, EURCAD, AUDJPY FXCM only provides support for FX symbols which produced over 110 million average daily volume (ADV) during 2013. This limit is imposed to ensure we do not highlight low volume/low ticket symbols in addition to other financial reporting concerns. FxcmVolume() """ @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.SubscriptionDataSource: pass @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> str: pass def GetSource(self, *args) -> str: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, line: str, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, stream: System.IO.StreamReader, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, line: str, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> QuantConnect.Data.BaseData: pass def Reader(self, *args) -> QuantConnect.Data.BaseData: pass Transactions: int Volume: int class NullData(QuantConnect.Data.BaseData, QuantConnect.Data.IBaseData): """ Represents a custom data type that works as a heartbeat of data in live mode NullData() """ @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.SubscriptionDataSource: pass @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> str: pass def GetSource(self, *args) -> str: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, line: str, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, stream: System.IO.StreamReader, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, line: str, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> QuantConnect.Data.BaseData: pass def Reader(self, *args) -> QuantConnect.Data.BaseData: pass EndTime: datetime.datetime class Quandl(QuantConnect.Data.DynamicData, System.Dynamic.IDynamicMetaObjectProvider, QuantConnect.Data.IBaseData): """ Quandl Data Type - Import generic data from quandl, without needing to define Reader methods. This reads the headers of the data imported, and dynamically creates properties for the imported data. Quandl() """ @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.SubscriptionDataSource: pass @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> str: pass def GetSource(self, *args) -> str: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, line: str, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, stream: System.IO.StreamReader, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, line: str, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> QuantConnect.Data.BaseData: pass def Reader(self, *args) -> QuantConnect.Data.BaseData: pass @staticmethod def SetAuthCode(authCode: str) -> None: pass def __init__(self) -> QuantConnect.Data.Custom.Quandl: pass EndTime: datetime.datetime Period: datetime.timedelta IsAuthCodeSet: bool class USEnergyAPI(QuantConnect.Data.BaseData, QuantConnect.Data.IBaseData): """ US Energy Information Administration provides extensive data on energy usage, import, export, and forecasting across all US energy sectors. https://www.eia.gov/opendata/ USEnergyAPI() """ def DefaultResolution(self) -> QuantConnect.Resolution: pass @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.SubscriptionDataSource: pass @typing.overload def GetSource(self, config: QuantConnect.Data.SubscriptionDataConfig, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> str: pass def GetSource(self, *args) -> str: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, content: str, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, stream: System.IO.StreamReader, date: datetime.datetime, isLiveMode: bool) -> QuantConnect.Data.BaseData: pass @typing.overload def Reader(self, config: QuantConnect.Data.SubscriptionDataConfig, line: str, date: datetime.datetime, datafeed: QuantConnect.DataFeedEndpoint) -> QuantConnect.Data.BaseData: pass def Reader(self, *args) -> QuantConnect.Data.BaseData: pass @staticmethod def SetAuthCode(authCode: str) -> None: pass def SupportedResolutions(self) -> typing.List[QuantConnect.Resolution]: pass EndTime: datetime.datetime EnergyDataPointCloseTime: datetime.datetime AuthCode: str IsAuthCodeSet: bool

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6.961864

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0.165551

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0.105498

0.714749

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1

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null

0

1

0

1

0

5

08ed2cafe7adcd7baa99bbe8c54a47447a64e96f

675

py

Python

UI/Graduation/ReadingTest/models.py

Biggig/xlnet

8f69d95f92c5b0bbc26920d8d6f62f2362a5738c

[ "Apache-2.0" ]

null

UI/Graduation/ReadingTest/models.py

Biggig/xlnet

8f69d95f92c5b0bbc26920d8d6f62f2362a5738c

[ "Apache-2.0" ]

null

UI/Graduation/ReadingTest/models.py

Biggig/xlnet

8f69d95f92c5b0bbc26920d8d6f62f2362a5738c

[ "Apache-2.0" ]

null

from django.db import models # Create your models here. class Reading(models.Model): id = models.CharField(max_length=20, primary_key=True, unique=True)#主键 article = models.TextField() def __str__(self): return self.id class Q_A(models.Model): reading = models.ForeignKey('Reading', on_delete=models.CASCADE) question = models.CharField(max_length=512) answer = models.CharField(max_length=2) option_a = models.CharField(max_length=512) option_b = models.CharField(max_length=512) option_c = models.CharField(max_length=512) option_d = models.CharField(max_length=512) def __str__(self): return self.question

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0.72

93

675

4.989247

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0.226293

0.271552

0.362069

0.415948

0.213362

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0.032258

0.173333

675

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0.799283

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false

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1

0

null

1

0

null

0

1

0

5

f5bb52aa2894ad9a80ba44b8b3cdc3cd83e5469b

5,317

py

Python

z2/part2/interactive/jm/random_normal_1/367439522.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part2/interactive/jm/random_normal_1/367439522.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part2/interactive/jm/random_normal_1/367439522.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 367439522 """ """ random actions, total chaos """ board = gamma_new(6, 5, 6, 2) assert board is not None assert gamma_move(board, 1, 0, 0) == 1 assert gamma_move(board, 1, 0, 3) == 1 assert gamma_move(board, 2, 0, 2) == 1 assert gamma_busy_fields(board, 2) == 1 assert gamma_golden_move(board, 2, 3, 0) == 0 assert gamma_move(board, 3, 4, 2) == 1 assert gamma_move(board, 3, 4, 3) == 1 assert gamma_move(board, 4, 2, 2) == 1 assert gamma_move(board, 4, 3, 3) == 1 assert gamma_move(board, 5, 4, 0) == 1 assert gamma_move(board, 5, 3, 0) == 1 assert gamma_move(board, 6, 1, 1) == 1 assert gamma_move(board, 6, 5, 4) == 1 assert gamma_move(board, 1, 1, 2) == 0 assert gamma_move(board, 1, 5, 1) == 0 assert gamma_move(board, 2, 1, 4) == 1 assert gamma_free_fields(board, 2) == 5 assert gamma_move(board, 3, 0, 2) == 0 assert gamma_move(board, 3, 3, 2) == 1 assert gamma_move(board, 4, 0, 2) == 0 assert gamma_move(board, 5, 5, 0) == 1 assert gamma_move(board, 6, 4, 2) == 0 assert gamma_move(board, 6, 2, 1) == 1 assert gamma_move(board, 1, 5, 4) == 0 assert gamma_move(board, 2, 3, 1) == 0 assert gamma_move(board, 2, 0, 3) == 0 assert gamma_move(board, 3, 2, 1) == 0 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 4, 0) == 0 assert gamma_move(board, 4, 1, 2) == 1 assert gamma_golden_move(board, 4, 4, 1) == 0 assert gamma_move(board, 5, 0, 2) == 0 assert gamma_move(board, 5, 5, 0) == 0 assert gamma_move(board, 6, 0, 2) == 0 assert gamma_move(board, 1, 1, 5) == 0 assert gamma_move(board, 1, 4, 1) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_free_fields(board, 2) == 4 assert gamma_move(board, 3, 1, 4) == 0 assert gamma_move(board, 4, 3, 2) == 0 board636433993 = gamma_board(board) assert board636433993 is not None assert board636433993 == (".2...6\n" "1..43.\n" "24433.\n" ".66...\n" "1..555\n") del board636433993 board636433993 = None assert gamma_move(board, 5, 3, 2) == 0 board131196582 = gamma_board(board) assert board131196582 is not None assert board131196582 == (".2...6\n" "1..43.\n" "24433.\n" ".66...\n" "1..555\n") del board131196582 board131196582 = None assert gamma_move(board, 6, 0, 4) == 0 assert gamma_golden_possible(board, 6) == 1 assert gamma_move(board, 1, 1, 0) == 1 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 4, 1, 3) == 1 assert gamma_move(board, 4, 3, 1) == 0 assert gamma_move(board, 5, 1, 0) == 0 assert gamma_move(board, 5, 3, 3) == 0 assert gamma_busy_fields(board, 5) == 3 assert gamma_move(board, 6, 1, 0) == 0 assert gamma_move(board, 1, 4, 2) == 0 assert gamma_move(board, 2, 1, 5) == 0 assert gamma_move(board, 2, 1, 1) == 0 assert gamma_busy_fields(board, 2) == 2 assert gamma_move(board, 4, 1, 4) == 0 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 5, 3, 0) == 0 board144005725 = gamma_board(board) assert board144005725 is not None assert board144005725 == (".2...6\n" "14.43.\n" "24433.\n" ".66...\n" "11.555\n") del board144005725 board144005725 = None assert gamma_move(board, 6, 4, 3) == 0 assert gamma_move(board, 6, 0, 2) == 0 assert gamma_move(board, 1, 2, 3) == 0 assert gamma_move(board, 2, 1, 3) == 0 assert gamma_move(board, 3, 4, 3) == 0 assert gamma_move(board, 3, 3, 2) == 0 assert gamma_golden_move(board, 3, 3, 0) == 1 assert gamma_move(board, 4, 3, 2) == 0 assert gamma_golden_move(board, 4, 0, 5) == 0 assert gamma_move(board, 5, 0, 2) == 0 assert gamma_move(board, 6, 1, 2) == 0 assert gamma_move(board, 1, 3, 2) == 0 assert gamma_move(board, 1, 1, 3) == 0 assert gamma_free_fields(board, 1) == 3 assert gamma_move(board, 2, 2, 2) == 0 assert gamma_busy_fields(board, 2) == 2 assert gamma_move(board, 3, 1, 5) == 0 assert gamma_move(board, 3, 4, 0) == 0 assert gamma_busy_fields(board, 3) == 4 assert gamma_move(board, 4, 4, 2) == 0 assert gamma_move(board, 4, 4, 3) == 0 assert gamma_move(board, 5, 0, 4) == 1 assert gamma_move(board, 6, 4, 4) == 1 assert gamma_move(board, 1, 3, 2) == 0 assert gamma_move(board, 2, 2, 2) == 0 assert gamma_move(board, 3, 3, 5) == 0 assert gamma_golden_possible(board, 3) == 0 assert gamma_move(board, 4, 0, 2) == 0 assert gamma_busy_fields(board, 4) == 4 board890831747 = gamma_board(board) assert board890831747 is not None assert board890831747 == ("52..66\n" "14.43.\n" "24433.\n" ".66...\n" "11.355\n") del board890831747 board890831747 = None assert gamma_move(board, 5, 4, 2) == 0 assert gamma_move(board, 5, 0, 2) == 0 assert gamma_move(board, 6, 3, 2) == 0 assert gamma_move(board, 1, 4, 3) == 0 assert gamma_move(board, 1, 1, 2) == 0 assert gamma_move(board, 2, 4, 0) == 0 assert gamma_move(board, 2, 4, 4) == 0 assert gamma_move(board, 3, 0, 2) == 0 assert gamma_busy_fields(board, 3) == 4 assert gamma_move(board, 4, 3, 2) == 0 assert gamma_move(board, 4, 0, 1) == 0 assert gamma_move(board, 5, 1, 3) == 0 assert gamma_move(board, 5, 5, 1) == 1 assert gamma_golden_possible(board, 5) == 1 assert gamma_move(board, 6, 1, 3) == 0 assert gamma_move(board, 6, 2, 2) == 0 gamma_delete(board)

30.734104

46

0.656573

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3.441932

0.047276

0.33831

0.376232

0.501642

0.790982

0.779337

0.650941

0.385488

0.294118

0.283965

0

0.148267

0.180553

5,317

172

47

30.912791

0.620381

0

0.25

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0.030599

0

0.736842

1

0

false

0

0.006579

0

0.006579

0

null

1

0

1

0

null

0

1

0

5

f5c4a26d8305411218497daee42468ab69b1ec55

23

py

Python

Course 3 - Using Python to Access Web Data/Week 1/3.1.py

vardecab/coursera-py4e

a852895d6904b6aacfc2ebaa646f827f521535bf

[ "MIT" ]

1

2019-09-08T08:46:27.000Z

Course 3 - Using Python to Access Web Data/Week 1/3.1.py

vardecab/coursera-py4e

a852895d6904b6aacfc2ebaa646f827f521535bf

[ "MIT" ]

null

Course 3 - Using Python to Access Web Data/Week 1/3.1.py

vardecab/coursera-py4e

a852895d6904b6aacfc2ebaa646f827f521535bf

[ "MIT" ]

null

print ('Hi there PY4E')

23

0.695652

4

23

4

1

0

0.05

0.130435

23

1

23

0.75

0

0.541667

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

de4f8abd30ecdeebafc817a85a4af2c0cba04c16

62

py

Python

ssl_metrics_github_issues/version.py

estoneman/ssl-metrics-github-issues

d0eb84d957d3a37886d4f5aa48b015075ae107cf

[ "BSD-3-Clause" ]

null

ssl_metrics_github_issues/version.py

estoneman/ssl-metrics-github-issues

d0eb84d957d3a37886d4f5aa48b015075ae107cf

[ "BSD-3-Clause" ]

null

ssl_metrics_github_issues/version.py

estoneman/ssl-metrics-github-issues

d0eb84d957d3a37886d4f5aa48b015075ae107cf

[ "BSD-3-Clause" ]

null

__version__ = "0.7.1" def version(): return __version__

10.333333

22

0.66129

8

62

4.125

0.75

0

0.061224

0.209677

62

5

23

12.4

0.612245

0

0.080645

0

1

0.333333

false

0

0.333333

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

de6dbe8c0c30f16541e9accade155b80b4b0310c

154

py

Python

plugins/dlab_gcp/dlab_gcp/infrastructure/controllers/deployment.py

mediapills/dlab

02392660094e53adf2d6742f63cadbfaf4cd6168

[ "Apache-2.0" ]

null

plugins/dlab_gcp/dlab_gcp/infrastructure/controllers/deployment.py

mediapills/dlab

02392660094e53adf2d6742f63cadbfaf4cd6168

[ "Apache-2.0" ]

129

2019-06-22T14:04:07.000Z

2019-11-13T14:01:40.000Z

plugins/dlab_gcp/dlab_gcp/infrastructure/controllers/deployment.py

mediapills/dlab

02392660094e53adf2d6742f63cadbfaf4cd6168

[ "Apache-2.0" ]

6

2019-07-09T13:54:24.000Z

2019-11-13T10:16:47.000Z

from dlab_deployment.infrastructure.controllers import ( BaseDeploymentCLIController) class GCPCLIController(BaseDeploymentCLIController): pass

22

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11.636364

0.909091

0

0.116883

154

6

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25.666667

0.941176

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1

0

true

0.25

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

5

de9c48e431d4bfab5b3b4110991254947106bb48

25,145

py

Python

src/experiments/Harmonic.py

Antonio-Cruciani/fair-group-centrality

edb77e4b7929004a52704eacdefd2f6d3c640b17

[ "MIT" ]

null

src/experiments/Harmonic.py

Antonio-Cruciani/fair-group-centrality

edb77e4b7929004a52704eacdefd2f6d3c640b17

[ "MIT" ]

null

src/experiments/Harmonic.py

Antonio-Cruciani/fair-group-centrality

edb77e4b7929004a52704eacdefd2f6d3c640b17

[ "MIT" ]

null

import itertools import logging import json import networkit as nk import pandas as pd from src.generators.graphs.SBM import SBM from src.generators.graphs.ErdosRenyi import ErdosRenyi from src.generators.graphs.BarabasiAlbert import BarabasiAlbert from src.measures.FairHarmonicCentrality import FairGroupHarmonicCentrality,GroupHarmonicCentrality from pathlib import Path class Harmonic: ''' instance= { type = "Syntetic or Real" graph = [{ "name": , "parameters":{"n": , "k":, "structure": , "threshold"; , } }], experiments = {"mod": rnd\pagerank\maxHitting\classic\maxDeg\sampleInEachCommunity\maxDegreeInEachCommunity\maxHCInEachCommunity, "Ssize": [ ] , "nRun": , } } ''' def __init__(self,instance): self.instance = instance self.graphs = [] self.communities = [] self.names = [] self.results = [] self.node_community_mapping = [] self.parameters = [] def run(self): if(self.instance['type'] in ['synthetic','Synthetic']): self.runSynteticExperiments() if(self.instance['type'] in ['real','Real']): self.runRealExperiments() if(self.instance['experiments']['mod'] in ['rnd','random','rd']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph' : self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} for size in fairSetSizes: FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) FGH.set_k(size) FGH.sampleS(trials) FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) #print("Group that maximizes GHC ",FGH.get_S()) #print("GH ",FGH.get_GHC_max_group()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = trials res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() #result['experiments'].append(FGH) ''' logging.debug("Max Group Harmonic Centrality: %r"%FGH.get_GHC_max_group()) if(PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r"%PoF)''' result['experiments'].append(res) communityIndex += 1 results.append(result) elif(self.instance['experiments']['mod'] in ['pr','PageRank','pagerank']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph': self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} for size in fairSetSizes: FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) FGH.set_k(size) FGH.samplePageRankS(trials) FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = trials res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() '''logging.debug("Max Group Harmonic Centrality: %r"%FGH.get_GHC_max_group()) if(PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r"%PoF)''' result['experiments'].append(res) communityIndex += 1 results.append(result) elif (self.instance['experiments']['mod'] in ['sampleInEachCommunity', 'siec']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph': self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) FGH.sampleInEachCommunity() FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) # print("Group that maximizes GHC ",FGH.get_S()) # print("GH ",FGH.get_GHC_max_group()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = -1 res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex ] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() '''logging.debug("Group Harmonic Centrality: %r" % FGH.get_GH()) if (PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r" % PoF)''' result['experiments'].append(res) communityIndex+=1 results.append(result) elif (self.instance['experiments']['mod'] in ['maxHitting', 'MH','mh']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph': self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} for size in fairSetSizes: FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) FGH.set_k(size) FGH.maxHitting() FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) # print("Group that maximizes GHC ",FGH.get_S()) # print("GH ",FGH.get_GHC_max_group()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = -1 res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() '''logging.debug("Group Harmonic Centrality: %r" % FGH.get_GH()) if (PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r" % PoF)''' result['experiments'].append(res) communityIndex+=1 results.append(result) elif (self.instance['experiments']['mod'] in ['Classic','classic', 'CL', 'cl']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph': self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} for size in fairSetSizes: FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) FGH.set_S(None) FGH.set_k(size) FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) # print("Group that maximizes GHC ",FGH.get_S()) # print("GH ",FGH.get_GHC_max_group()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = -1 res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() '''logging.debug("Group Harmonic Centrality: %r" % FGH.get_GH()) if (PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r" % PoF)''' result['experiments'].append(res) communityIndex+=1 results.append(result) elif (self.instance['experiments']['mod'] in ['maxDeg', 'md', 'MD']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph': self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} for size in fairSetSizes: FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) FGH.set_k(size) FGH.maxDegS() FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) # print("Group that maximizes GHC ",FGH.get_S()) # print("GH ",FGH.get_GHC_max_group()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = -1 res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() '''logging.debug("Group Harmonic Centrality: %r" % FGH.get_GH()) if (PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r" % PoF)''' result['experiments'].append(res) communityIndex+=1 results.append(result) elif (self.instance['experiments']['mod'] in ['maxDegInEachCommunity', 'mdiec', 'MDIEC']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph': self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) #FGH.set_k(size) FGH.maxDegreeInEachCommunity() FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) # print("Group that maximizes GHC ",FGH.get_S()) # print("GH ",FGH.get_GHC_max_group()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = -1 res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() '''logging.debug("Group Harmonic Centrality: %r" % FGH.get_GH()) if (PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r" % PoF)''' result['experiments'].append(res) communityIndex+=1 results.append(result) elif (self.instance['experiments']['mod'] in ['maxHCInEachCommunity', 'mhciec', 'MHCIEC']): fairSetSizes = self.instance['experiments']['sSize'] trials = self.instance['experiments']['nRun'] results = [] communityIndex = 0 for graph in self.graphs: result = {'graph': self.names[communityIndex], 'parameters': self.parameters[communityIndex], 'experiment_mod': self.instance['experiments']['mod'], 'experiments': []} FGH = FairGroupHarmonicCentrality(graph, self.communities[communityIndex], None) # FGH.set_k(size) FGH.maxHCInEachCommunity() FGH.computeGroupsCentralities() FGH.computeFairGroupHarmonicCentrality(FGH.get_S()) # print("Group that maximizes GHC ",FGH.get_S()) # print("GH ",FGH.get_GHC_max_group()) PoF = FGH.get_price_of_fairness() res = {} res['type_of_exp'] = self.instance['experiments']['mod'] res['sampling_trials'] = -1 res['fair_set_size'] = len(FGH.get_S()) res['fair_set'] = FGH.get_S() res['group_harmonic'] = FGH.get_GHC_max_group() res['PoF'] = FGH.get_price_of_fairness() res['fair_harmonic_centrality'] = FGH.get_FGHC() res['communities_dimension'] = FGH.get_communities_size() res['node_community_mapping'] = self.node_community_mapping[communityIndex ] res['execution_time'] = FGH.get_overall_time() res['fair_group_centrality_time'] = FGH.get_exec_time() res['fair_group_centrality_community_time'] = FGH.get_time_per_comm() logging.debug("Group Harmonic Centrality: %r" % FGH.get_GH()) if (PoF == -1): logging.debug("PoF: Undefined") else: logging.debug("PoF: %r" % PoF) result['experiments'].append(res) communityIndex += 1 results.append(result) self.results.extend(results) def runRealExperiments(self): logging.info("Loading Communities") communities = [] with open(self.instance['inputPathCommunities'], 'r') as f: data = f.read() for line in data.split("\n"): community = [] for elem in line.split("\t"): community.append(int(elem)) communities.append(community) logging.info("Loading Communities: Completed") logging.info("Loading Graph") self.graphs.append(nk.graphio.EdgeListReader('\t', 0, '#').read(self.instance['inputPathGraph'])) #self.graphs.append(nk.graphio.SNAPGraphReader().read(self.instance['inputPathGraph'])) logging.info("Loading Graph: Completed") edgeListName = self.instance['inputPathGraph'].split('/')[-1] self.names.append(edgeListName) self.communities.append(communities) self.parameters.append(" ") # Method that load the datasets and run the experiments def runSynteticExperiments(self): for elem in self.instance['graphs']: # listOfParameters = [] # # for parameter in self.instance['graphs'][elem]: # # listOfParameters.append(parameter) # # parametersCombination =list(itertools.product(*listOfParameters)) # paraKeys = list(self.instance['graphs'][elem].keys()) # Loading the graphs if(elem['name'] in ['Erdos-Renyi','ER','er','Erdos Renyi','ErdosRenyi']): inputPath = "datasets/synthetic/erdos_renyi/" edgeListName = "Erdos-Renyi.ungraph.txt" communitiesName = "Erdos-Renyi.all.cmty.txt" elif(elem['name'] in ['Barabasi-Albert','BA','ba','BarabasiAlbert','Barabasi Albert']): inputPath = "datasets/synthetic/barabasi_albert/" edgeListName = "Barabasi-Albert.ungraph.txt" communitiesName = "Barabasi-Albert.all.cmty.txt" elif(elem['name'] in ['SBM','sbm','Stochastic-Block-Model']): inputPath = "datasets/synthetic/sbm/" edgeListName = "Stochastic-Block-Model.ungraph.txt" communitiesName = "Stochastic-Block-Model.all.cmty.txt" parameterKeys = list(elem['parameters'].keys()) name = "" j = 0 for e,v in elem['parameters'].items(): name += str(e) + str(v) if(j<len(elem['parameters'])): name+="/" j+=1 self.parameters.append(elem['parameters']) #print(elem['parameters']) # for para in parametersCombination: # name = "" # j = 0 # for e in para: # name += "_" + str(paraKeys[j]) + "_" + str(e) # j += 1 inputPathGraph = inputPath + name + edgeListName inputPathCommunities = inputPath + name + communitiesName communities = [] index = 0 node_community_mapping = {} with open(inputPathCommunities, 'r') as f: data = f.read() for line in data.split("\n"): community = [] for elem in line.split("\t"): community.append(int(elem)) node_community_mapping[int(elem)] = index communities.append(community) index +=1 self.graphs.append(nk.graphio.EdgeListReader('\t', 0, '#').read(inputPathGraph)) #self.graphs.append(nk.graphio.SNAPGraphReader().read(inputPathGraph)) self.names.append(edgeListName) self.communities.append(communities) self.node_community_mapping.append(node_community_mapping) def get_graphs(self): return (self.graphs) def get_communities(self): return(self.communities) def get_node_community_mapping(self): return (self.node_community_mapping) def save_results_to_json(self,path = "./"): if Path(path).is_file(): with open(path, 'a+', encoding='utf-8') as f: fileHandle = open(path, "r") lineList = fileHandle.readlines() fileHandle.close() if(lineList[-1] != '['): f.write(',') with open(path, 'a+', encoding='utf-8') as f: json.dump(self.results, f, ensure_ascii=False, indent=4) def define_list_of_jsons(self,path): if not Path(path).is_file(): with open(path, 'a+', encoding='utf-8') as f: f.write('[') def close_list_of_jsons(self,path): with open(path, 'a+', encoding='utf-8') as f: f.write(']') def save_results_to_csv(self,path = "./"): lista_to_csv = [] for elem in self.results: for exp in elem['experiments']: lista_to_csv.append({**elem['parameters'],**exp}) for dic in self.results: df = pd.DataFrame(lista_to_csv) name = dic['graph'][0:-4] towriteName = '' for x in name: towriteName+=x df.to_csv(path+towriteName+'.csv') print("TO DO")

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dec8f59ceae5a1a8b0a17a57861115c5f164062e

156

py

Python

shyurl/views.py

tomatohater/django-shyurl

94c7fab35e7bf5e79ae254e3cfd4f9449b843b13

[ "MIT" ]

null

shyurl/views.py

tomatohater/django-shyurl

94c7fab35e7bf5e79ae254e3cfd4f9449b843b13

[ "MIT" ]

null

shyurl/views.py

tomatohater/django-shyurl

94c7fab35e7bf5e79ae254e3cfd4f9449b843b13

[ "MIT" ]

null

# -*- coding: utf-8 -*- """`django-shyurl` views.""" from django.http import HttpResponseNotFound def blocked(request): return HttpResponseNotFound()

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py

Python

talesDB/test.py

Gabe397/Tales

0487843a85e8e70273978638b58e1f3f07d90e70

[ "MIT" ]

null

talesDB/test.py

Gabe397/Tales

0487843a85e8e70273978638b58e1f3f07d90e70

[ "MIT" ]

null

talesDB/test.py

Gabe397/Tales

0487843a85e8e70273978638b58e1f3f07d90e70

[ "MIT" ]

null

import sqlCommands sqlCommands.auth("fwwake2mail@fake.com","badPass")

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py

Python

meegkit/__init__.py

Matthijspals/python-meegkit

83c28df864d8b3e646c720a8289c3f105d2dcebc

[ "BSD-3-Clause" ]

null

meegkit/__init__.py

Matthijspals/python-meegkit

83c28df864d8b3e646c720a8289c3f105d2dcebc

[ "BSD-3-Clause" ]

null

meegkit/__init__.py

Matthijspals/python-meegkit

83c28df864d8b3e646c720a8289c3f105d2dcebc

[ "BSD-3-Clause" ]

null

"""M/EEG denoising utilities in python.""" from . import asr, cca, detrend, dss, sns, star, tspca, utils __all__ = ['asr', 'cca', 'detrend', 'dss', 'sns', 'star']

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py

Python

tests/test_mass_carats.py

putridparrot/PyUnits

4f1095c6fc0bee6ba936921c391913dbefd9307c

[ "MIT" ]

null

tests/test_mass_carats.py

putridparrot/PyUnits

4f1095c6fc0bee6ba936921c391913dbefd9307c

[ "MIT" ]

null

tests/test_mass_carats.py

putridparrot/PyUnits

4f1095c6fc0bee6ba936921c391913dbefd9307c

[ "MIT" ]

null

# <auto-generated> # This code was generated by the UnitCodeGenerator tool # # Changes to this file will be lost if the code is regenerated # </auto-generated> import unittest import units.mass.carats class TestCaratsMethods(unittest.TestCase): def test_convert_known_carats_to_milligrams(self): self.assertAlmostEqual(420.0, units.mass.carats.to_milligrams(2.1), places=1) self.assertAlmostEqual(24600.0, units.mass.carats.to_milligrams(123.0), places=1) self.assertAlmostEqual(160.0, units.mass.carats.to_milligrams(0.8), places=1) def test_convert_known_carats_to_grams(self): self.assertAlmostEqual(0.16, units.mass.carats.to_grams(0.8), places=1) self.assertAlmostEqual(0.3, units.mass.carats.to_grams(1.5), places=1) self.assertAlmostEqual(2.4, units.mass.carats.to_grams(12.0), places=1) def test_convert_known_carats_to_kilograms(self): self.assertAlmostEqual(0.2018, units.mass.carats.to_kilograms(1009.0), places=1) self.assertAlmostEqual(0.1998, units.mass.carats.to_kilograms(999.0), places=1) self.assertAlmostEqual(0.2469, units.mass.carats.to_kilograms(1234.5), places=1) def test_convert_known_carats_to_tonnes(self): self.assertAlmostEqual(0.2469134, units.mass.carats.to_tonnes(1234567.0), places=1) self.assertAlmostEqual(1.9999998, units.mass.carats.to_tonnes(9999999.0), places=1) self.assertAlmostEqual(0.199775598, units.mass.carats.to_tonnes(998877.99), places=1) def test_convert_known_carats_to_ounces(self): self.assertAlmostEqual(6.34931, units.mass.carats.to_ounces(900.0), places=1) self.assertAlmostEqual(0.870914121, units.mass.carats.to_ounces(123.45), places=1) self.assertAlmostEqual(5.64383, units.mass.carats.to_ounces(800.0), places=1) def test_convert_known_carats_to_pounds(self): self.assertAlmostEqual(0.440925, units.mass.carats.to_pounds(1000.0), places=1) self.assertAlmostEqual(54.4347781, units.mass.carats.to_pounds(123456.0), places=1) self.assertAlmostEqual(0.35274, units.mass.carats.to_pounds(800.0), places=1) def test_convert_known_carats_to_stones(self): self.assertAlmostEqual(0.2834515, units.mass.carats.to_stones(9000.0), places=1) self.assertAlmostEqual(3.88819843, units.mass.carats.to_stones(123456.0), places=1) self.assertAlmostEqual(2.519593906, units.mass.carats.to_stones(80000.8), places=1) if __name__ == '__main__': unittest.main()

48.265306

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2,365

4.899457

0.233696

0.124237

0.183028

0.198003

0.615641

0.285635

0.118136

0.061564

0.042152

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0.116141

0.075264

2,365

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88

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false

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1

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null

0

1

0

1

0

5

9d2ff77d28dd24b483491172c5101d493f6530bd

202

bzl

Python

bazel/copts.bzl

bazelregistry/lexy

bb9dfbbf5b39caff7cbcfda88a4ad8faacaa7a44

[ "BSL-1.0" ]

null

bazel/copts.bzl

bazelregistry/lexy

bb9dfbbf5b39caff7cbcfda88a4ad8faacaa7a44

[ "BSL-1.0" ]

null

bazel/copts.bzl

bazelregistry/lexy

bb9dfbbf5b39caff7cbcfda88a4ad8faacaa7a44

[ "BSL-1.0" ]

null

lexy_copts = select({ "@bazel_tools//src/conditions:windows": ["/std:c++latest"], "@bazel_tools//src/conditions:windows_msvc": ["/std:c++latest"], "//conditions:default": ["-std=c++20"], })

33.666667

68

0.623762

25

202

4.88

0.56

0.098361

0.213115

0.377049

0.491803

0

0.011111

0.108911

202

5

69

40.4

0.666667

0

0.668317

0.381188

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

9d3e0226b4014f2b4cb88d59d1d36987c30b37bd

268

py

Python

livia_ui/gui/configuration/widgets/listener/WidgetChangeListener.py

sing-group/livia-ui

809d90d4429bdd48ad2b8bf6b9546b7ea0ca6dcf

[ "MIT" ]

null

livia_ui/gui/configuration/widgets/listener/WidgetChangeListener.py

sing-group/livia-ui

809d90d4429bdd48ad2b8bf6b9546b7ea0ca6dcf

[ "MIT" ]

null

livia_ui/gui/configuration/widgets/listener/WidgetChangeListener.py

sing-group/livia-ui

809d90d4429bdd48ad2b8bf6b9546b7ea0ca6dcf

[ "MIT" ]

null

from livia.process.listener.EventListener import EventListener from livia_ui.gui.configuration.widgets.listener.WidgetChangeEvent import WidgetChangeEvent class WidgetChangeListener(EventListener): def value_changed(self, event: WidgetChangeEvent): pass

33.5

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0.83209

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268

8.185185

0.703704

0.081448

0

0.108209

268

7

92

38.285714

0.924686

0

1

0.2

false

0.2

0.4

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null

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null

0

1

0

1

0

5

19f9824b3524dcafc75e8e20c7916182aa9f77eb

272

py

Python

python/anyascii/_data/_2e9.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_2e9.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_2e9.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

b=' Men Chu Diu Rui Bi E Chang Wei'

272

0.088235

9

272

2.666667

1

0

0.900735

272

1

272

0.888889

0

0.981685

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

1

0

null

0

5

c203669f8b50452867d082aa0be132b2d55be660

54

py

Python

penl/__init__.py

mrdvince/penlight

2c15fc723955c8c1eead885579f88378e3d61f10

[ "MIT" ]

null

penl/__init__.py

mrdvince/penlight

2c15fc723955c8c1eead885579f88378e3d61f10

[ "MIT" ]

null

penl/__init__.py

mrdvince/penlight

2c15fc723955c8c1eead885579f88378e3d61f10

[ "MIT" ]

null

from ._tensor import tensor, matmul, eye # noqa: F401

54

0.740741

8

54

4.875

0.875

0

0.066667

0.166667

54

1

54

0.8

0.185185

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c22345ba6d413dd283d42e220881eb8a332f66e1

77

py

Python

core/networks/__init__.py

rdbch/tutorial_simclr

7083b5c1bd75a14cf63899249664f17ca7e10331

[ "MIT" ]

9

2021-02-12T15:19:56.000Z

2021-03-02T19:45:40.000Z

core/networks/__init__.py

rdbch/tutorial_simclr

7083b5c1bd75a14cf63899249664f17ca7e10331

[ "MIT" ]

null

core/networks/__init__.py

rdbch/tutorial_simclr

7083b5c1bd75a14cf63899249664f17ca7e10331

[ "MIT" ]

null

from .mlp import MLP from .resnet import ResNet from .simclr import SimCLR

25.666667

26

0.779221

12

77

5

0.416667

0

0.181818

77

3

27

25.666667

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

df997c6eba1487234ae383ab1ca1d8130c37fc28

29

py

Python

kay/tests/gaema_testapp/__init__.py

Letractively/kay-framework

a4cfabe3497e13c3785e5ec381b9cff11a378df3

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

1

2015-11-05T08:30:09.000Z

kay/tests/gaema_testapp/__init__.py

ianlewis/kay

1bf28487dc2a273eaa44d442aec8baa6453240b7

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

null

kay/tests/gaema_testapp/__init__.py

ianlewis/kay

1bf28487dc2a273eaa44d442aec8baa6453240b7

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

1

2016-05-23T16:30:15.000Z

# test application for gaema

14.5

28

0.793103

4

29

5.75

1

0

0.172414

29

1

29

0.958333

0.896552

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

dfa253f56ad456d341da9fe5624a9962b850753f

164

py

Python

skippedia/skippedia/skippedia/admin.py

AlamHasabie/Skippedia

5ff64e11048ea2e94bb4e2b52e9a116acc3e2704

[ "MIT" ]

null

skippedia/skippedia/skippedia/admin.py

AlamHasabie/Skippedia

5ff64e11048ea2e94bb4e2b52e9a116acc3e2704

[ "MIT" ]

null

skippedia/skippedia/skippedia/admin.py

AlamHasabie/Skippedia

5ff64e11048ea2e94bb4e2b52e9a116acc3e2704

[ "MIT" ]

2

2019-06-25T02:38:28.000Z

2019-06-25T02:42:07.000Z

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

23.428571

39

0.817073

22

164

6.090909

0.545455

0.134328

0.253731

0

0.103659

164

6

40

27.333333

0.911565

0.158537

0

1

0

true

0

0.5

0

0.5

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null

0

1

0

1

0

null

0

1

0

1

0

5

dfb32ce3f2138c33f2c6d84717f353f3e5c09a61

34

py

Python

lcu_driver_multi/__init__.py

schuhbart/lcu-driver-multi

4a4af339c74c9ee558fbb57a88bb3ac52734b96e

[ "MIT" ]

null

lcu_driver_multi/__init__.py

schuhbart/lcu-driver-multi

4a4af339c74c9ee558fbb57a88bb3ac52734b96e

[ "MIT" ]

null

lcu_driver_multi/__init__.py

schuhbart/lcu-driver-multi

4a4af339c74c9ee558fbb57a88bb3ac52734b96e

[ "MIT" ]

null

from .connector import Connector

11.333333

32

0.823529

4

34

7

0.75

0

0.147059

34

2

33

17

0.965517

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dfe0a447c2cb16caa9e91c1a2be93fe656564cc2

72

py

Python

evaluator/Social/__init__.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

1

2018-11-26T16:43:36.000Z

evaluator/Social/__init__.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

null

evaluator/Social/__init__.py

CryptoRichy/OctoBot

1ca5bd2ba4b8fc09859518fcb2a62f74a1435019

[ "Apache-2.0" ]

null

from .social_evaluator import * from tentacles.Evaluator.Social import *

36

40

0.833333

9

72

6.555556

0.555556

0

0.097222

72

2

40

36

0.907692

0

1

0

true

0

1

0

1

0

1

0

null

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1

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null

0

1

0

1

0

1

0

5

a03b4ab829612dfb36ba0922f8c3e405a5f18944

38

py

Python

survos2/frontend/__init__.py

DiamondLightSource/SuRVoS2

42bacfb6a5cc267f38ca1337e51a443eae1a9d2b

[ "MIT" ]

4

2017-10-10T14:47:16.000Z

2022-01-14T05:57:50.000Z

survos2/frontend/__init__.py

DiamondLightSource/SuRVoS2

42bacfb6a5cc267f38ca1337e51a443eae1a9d2b

[ "MIT" ]

1

2022-01-11T21:11:12.000Z

2022-01-12T08:22:34.000Z

survos2/frontend/__init__.py

DiamondLightSource/SuRVoS2

42bacfb6a5cc267f38ca1337e51a443eae1a9d2b

[ "MIT" ]

2

2018-03-06T06:31:29.000Z

2019-03-04T03:33:18.000Z

# from .mainwindow import MainWindow

19

37

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4

38

7.5

0.75

0

0.157895

38

1

38

0.9375

0.894737

0

null

0

null

0

null

0

null

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null

true

0

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1

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0

1

0

1

0

null

0

1

0

5

a0468f49e0ca732da55bf0d62acace520de1e4c1

168

py

Python

is_anagram.py

SunmeetOberoi/Hacktoberfest

e5e5e0c7e771cc4fd53d0fda5b32a3d4c40fd6e2

[ "MIT" ]

4

2019-10-12T13:54:20.000Z

2021-07-06T22:41:12.000Z

is_anagram.py

SunmeetOberoi/Hacktoberfest

e5e5e0c7e771cc4fd53d0fda5b32a3d4c40fd6e2

[ "MIT" ]

1

2020-10-01T18:03:45.000Z

is_anagram.py

SunmeetOberoi/Hacktoberfest

e5e5e0c7e771cc4fd53d0fda5b32a3d4c40fd6e2

[ "MIT" ]

8

2019-10-14T17:20:09.000Z

2020-10-03T17:27:49.000Z

from collections import Counter def is_anagram(str1, str2): return Counter(str1) == Counter(str2) str1 = input() str2 = input() print(is_anagram(str1, str2))

21

43

0.702381

23

168

5.043478

0.521739

0.155172

0.224138

0.293103

0

0.057554

0.172619

168

7

44

24

0.776978

0

1

0.166667

false

0

0.166667

0.5

0.166667

1

0

null

0

1

0

1

0

null

0

1

0

5

a0675511ae6a11536ba6d836850840c86192e482

66

py

Python

graphalgos/__init__.py

RafaelKuebler/GraphAlgos

b6cbb45a1f6f40056a441aac5e24ee840973c01d

[ "MIT" ]

1

2021-02-14T08:47:17.000Z

graphalgos/__init__.py

RafaelKuebler/GraphAlgos

b6cbb45a1f6f40056a441aac5e24ee840973c01d

[ "MIT" ]

null

graphalgos/__init__.py

RafaelKuebler/GraphAlgos

b6cbb45a1f6f40056a441aac5e24ee840973c01d

[ "MIT" ]

null

from .astar import AStar from .bfs import BFS from .dfs import DFS

22

24

0.787879

12

66

4.333333

0.416667

0

0.166667

66

3

25

22

0.945455

0

1

0

true

0

1

0

1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a09ffba131db9392a6c5474c23235d75e42aed78

257

py

Python

problems/exercism/diffie-hellman/diffie_hellman.py

JayMonari/py-personal

ef16d030cc7fe2266d661e1378d95f588229b746

[ "MIT" ]

null

problems/exercism/diffie-hellman/diffie_hellman.py

JayMonari/py-personal

ef16d030cc7fe2266d661e1378d95f588229b746

[ "MIT" ]

null

problems/exercism/diffie-hellman/diffie_hellman.py

JayMonari/py-personal

ef16d030cc7fe2266d661e1378d95f588229b746

[ "MIT" ]

null

import secrets def private_key(p: int) -> int: return secrets.randbelow(p - 2) + 2 def public_key(p: int, g: int, private: int) -> int: return g**private % p def secret(p: int, public: int, private: int) -> int: return public**private % p

18.357143

53

0.634241

41

257

3.926829

0.317073

0.074534

0.223602

0.198758

0.273292

0

0.01

0.22179

257

13

54

19.769231

0.795

0

1

0.428571

false

0

0.142857

0.428571

1

0

null

0

1

0

null

0

1

0

1

0

5

261a118715b68ffea4f1f327bf9de2dc34a6d97c

312

py

Python

src/greyd/models/__init__.py

canberk/greyd

b3ce055ba856277d5efd5e2bbb9b59ff8d3b3c58

[ "MIT" ]

2

2019-02-18T16:31:14.000Z

2019-03-05T18:24:39.000Z

src/greyd/models/__init__.py

canberk/greyd

b3ce055ba856277d5efd5e2bbb9b59ff8d3b3c58

[ "MIT" ]

null

src/greyd/models/__init__.py

canberk/greyd

b3ce055ba856277d5efd5e2bbb9b59ff8d3b3c58

[ "MIT" ]

1

2019-02-20T21:42:20.000Z

# -*- coding: utf-8 -*- """List of model. Database neeeds all models when create or use tables. """ from greyd.models.user import User from greyd.models.lobby import Lobby from greyd.models.user_to_lobby import UserToLobby from greyd.models.chat import Chat from greyd.models.user_location import UserLocation

26

53

0.785256

48

312

5.041667

0.520833

0.18595

0.309917

0.235537

0

0.003676

0.128205

312

11

54

28.363636

0.886029

0.291667

0

1

0

true

0

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null

0

1

0

null

0

1

0

1

0

1

0

5

2674be5ed67b5e67d20266731b0db8e1d705e040

358

py

Python

seqgra/model/__init__.py

gifford-lab/seqgra

3c7547878ecda4c00572746b8a07e0d614c9dbef

[ "MIT" ]

null

seqgra/model/__init__.py

gifford-lab/seqgra

3c7547878ecda4c00572746b8a07e0d614c9dbef

[ "MIT" ]

null

seqgra/model/__init__.py

gifford-lab/seqgra

3c7547878ecda4c00572746b8a07e0d614c9dbef

[ "MIT" ]

2

2021-06-14T20:27:40.000Z

2021-06-14T20:29:29.000Z

""" Data definition and model definition Classes: - :class:`~seqgra.model.data.datadefinition.DataDefinition`: seqgra data definition - :class:`~seqgra.model.model.modeldefinition.ModelDefinition`: seqgra model definition """ from seqgra.model.data.datadefinition import DataDefinition from seqgra.model.model.modeldefinition import ModelDefinition

35.8

91

0.804469

38

358

7.578947

0.289474

0.190972

0.111111

0.201389

0

0.097765

358

9

92

39.777778

0.891641

0.631285

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

cd210eac0b8d38ae0a68ede6944a81ec9fb04d7a

256

py

Python

chapter2/closure/dir_normal_func.py

kssim/etude-1

0122eeba10ed71f2a4bf3da419ac6a5ca9505488

[ "Apache-2.0" ]

3

2018-06-12T05:30:59.000Z

2021-09-27T12:05:14.000Z

chapter2/closure/dir_normal_func.py

partrita/python_effective_flow_control

0122eeba10ed71f2a4bf3da419ac6a5ca9505488

[ "Apache-2.0" ]

3

2019-01-24T12:13:18.000Z

2019-03-16T00:23:21.000Z

chapter2/closure/dir_normal_func.py

partrita/python_effective_flow_control

0122eeba10ed71f2a4bf3da419ac6a5ca9505488

[ "Apache-2.0" ]

13

2018-05-11T06:35:49.000Z

2021-09-27T12:05:17.000Z

################################### # File Name : dir_normal_func.py ################################### #!/usr/bin/python3 def normal_func(): pass if __name__ == "__main__": p = dir(normal_func()) print ("=== attribute ===") print (p)

17.066667

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256

4.041667

0.666667

0.309278

0.268041

0

0.004717

0.171875

256

14

36

18.285714

0.45283

0.183594

0

0.183824

0

1

0.166667

false

0.166667

0

0.166667

0.333333

1

0

null

1

0

1

0

null

0

1

0

5

cd29e8f5bf1eb22ad005d14f8fca27f9ebcfc9ed

236

py

Python

pyqus/examples/__init__.py

JorgeDeLosSantos/pyqus

c57e9b7fb986d53d8b8408278922b1187149c36a

[ "MIT" ]

21

2017-05-12T10:21:42.000Z

2022-03-14T17:35:25.000Z

pyqus/examples/__init__.py

JorgeDeLosSantos/pyqus

c57e9b7fb986d53d8b8408278922b1187149c36a

[ "MIT" ]

null

pyqus/examples/__init__.py

JorgeDeLosSantos/pyqus

c57e9b7fb986d53d8b8408278922b1187149c36a

[ "MIT" ]

15

2016-06-25T07:58:16.000Z

2022-03-10T08:07:43.000Z

# -*- coding: mbcs -*- """ ========================================= PyQus 0.1.0 Author: Pedro Jorge De Los Santos E-mail: delossantosmfq@gmail.com https://github.com/JorgeDeLosSantos/pyqus ========================================= """

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py

Python

crmsystem/services/__init__.py

iomegak12/pythondockertry

dd91dc57a09141f94cb0a73e18a8ad9da4d5aa85

[ "MIT" ]

null

crmsystem/services/__init__.py

iomegak12/pythondockertry

dd91dc57a09141f94cb0a73e18a8ad9da4d5aa85

[ "MIT" ]

null

crmsystem/services/__init__.py

iomegak12/pythondockertry

dd91dc57a09141f94cb0a73e18a8ad9da4d5aa85

[ "MIT" ]

null

from .customer_service import CustomerService from .order_service import OrderService

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py

Python

src/pycaleva/__init__.py

MartinWeigl/pycaleva

a3867d1a74889e5521f59bb1857081b8c8a9a5c5

[ "BSD-3-Clause" ]

null

src/pycaleva/__init__.py

MartinWeigl/pycaleva

a3867d1a74889e5521f59bb1857081b8c8a9a5c5

[ "BSD-3-Clause" ]

null

src/pycaleva/__init__.py

MartinWeigl/pycaleva

a3867d1a74889e5521f59bb1857081b8c8a9a5c5

[ "BSD-3-Clause" ]

1

2022-03-14T14:49:40.000Z

from .calibeval import CalibrationEvaluator from .calbelt import CalibrationBelt

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cd5642d0b5a85ee32c4467cf2bd96e41c23128ff

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py

Python

app/config.py

CA-Lee/bottern

17cd8dfa279c4a8ce83a4495961266ecdfb6a525

[ "CC0-1.0" ]

null

app/config.py

CA-Lee/bottern

17cd8dfa279c4a8ce83a4495961266ecdfb6a525

[ "CC0-1.0" ]

null

app/config.py

CA-Lee/bottern

17cd8dfa279c4a8ce83a4495961266ecdfb6a525

[ "CC0-1.0" ]

null

import os from typing import Literal STAGE: Literal["production", "dev", "debug"] = os.environ.get("STAGE", "debug")

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cd73890d487c1153ed3f32413f866f2cf3d122b2

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py

Python

config.py

steveyout/bitc

3fb227ba35d0daa8c2337cf8761cf68a752a973d

[ "Apache-2.0" ]

null

config.py

steveyout/bitc

3fb227ba35d0daa8c2337cf8761cf68a752a973d

[ "Apache-2.0" ]

1

2020-06-05T18:47:07.000Z

config.py

steveyout/bitc

3fb227ba35d0daa8c2337cf8761cf68a752a973d

[ "Apache-2.0" ]

null

import logging import os token='628778240:AAEss1X8lvozbVBWZaAekXTYInrdKj_EJe8' payeer_account='P1002894412' payeer_api_pass='hello' payeer_api_id=618058477

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null

0

1

0

5

cd7fb49c4ef21a4e6cd5965537298afd75ce51b1

148

py

Python

app/file_managers/__init__.py

abraker-osu/osu-play-analyzer

e059607fbaa8f1b190354c63637b4aa75470b27b

[ "MIT" ]

null

app/file_managers/__init__.py

abraker-osu/osu-play-analyzer

e059607fbaa8f1b190354c63637b4aa75470b27b

[ "MIT" ]

null

app/file_managers/__init__.py

abraker-osu/osu-play-analyzer

e059607fbaa8f1b190354c63637b4aa75470b27b

[ "MIT" ]

null

import os os.makedirs('data', exist_ok=True) from .config_mgr import AppConfig from .db_mgr import MapsDB from .data_mgr import PlayData, RecData

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26bf55288c27e0aed087732cf8cbadb3e78d445c

196

py

Python

aries_cloudagent/tails/error.py

kuraakhilesh8230/aries-cloudagent-python

ee384d1330f6a50ff45a507392ce54f92900f23a

[ "Apache-2.0" ]

247

2019-07-02T21:10:21.000Z

2022-03-30T13:55:33.000Z

aries_cloudagent/tails/error.py

kuraakhilesh8230/aries-cloudagent-python

ee384d1330f6a50ff45a507392ce54f92900f23a

[ "Apache-2.0" ]

1,462

2019-07-02T20:57:30.000Z

2022-03-31T23:13:35.000Z

aries_cloudagent/tails/error.py

kuraakhilesh8230/aries-cloudagent-python

ee384d1330f6a50ff45a507392ce54f92900f23a

[ "Apache-2.0" ]

377

2019-06-20T21:01:31.000Z

2022-03-30T08:27:53.000Z

"""Tails server related errors.""" from ..core.error import BaseError class TailsServerNotConfiguredError(BaseError): """Error indicating the tails server plugin hasn't been configured."""

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26e1b987406b896b0e6ceff945b66164620874bb

445

py

Python

pythonx/python_function_expander/config.py

ColinKennedy/vim-python-function-expander

7fbaac0bdb6316177c85284052694175a2819638

[ "MIT" ]

20

2018-11-05T01:54:13.000Z

2021-11-21T22:36:52.000Z

pythonx/python_function_expander/config.py

ColinKennedy/vim-python-function-expander

7fbaac0bdb6316177c85284052694175a2819638

[ "MIT" ]

3

2018-11-05T18:54:46.000Z

2021-03-06T12:14:01.000Z

pythonx/python_function_expander/config.py

ColinKennedy/vim-python-function-expander

7fbaac0bdb6316177c85284052694175a2819638

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- '''A simple module to store the user's style preferences.''' INDENT_PREFERENCE = {'indent': ' '} def get_indent_preference(): '''str: How the user prefers their indentation. Default: " ".''' return INDENT_PREFERENCE['indent'] def register_indent_preference(text): '''Set indentation that will be used for multi-line function calls.''' INDENT_PREFERENCE['indent'] = text

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f80e47fef1a3b561663260c949ee84a38f860691

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py

Python

MapExtrackt/__init__.py

lewis-morris/mapextrackt

e7724d0a9e5b88da5aa7c927093e519130f04802

[ "MIT" ]

43

2020-05-09T21:05:24.000Z

2022-03-17T09:53:51.000Z

MapExtrackt/__init__.py

lewis-morris/mapextrackt

e7724d0a9e5b88da5aa7c927093e519130f04802

[ "MIT" ]

2

2020-09-21T17:23:32.000Z

2021-04-23T20:12:15.000Z

MapExtrackt/__init__.py

lewis-morris/mapextrackt

e7724d0a9e5b88da5aa7c927093e519130f04802

[ "MIT" ]

4

2020-05-09T21:05:26.000Z

2021-01-20T01:21:39.000Z

from MapExtrackt.extractor import FeatureExtractor

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141

py

Python

simian/test/example_1/my_module.py

movermeyer/python-simian

c5870e4c5a81554bd37c835981cc9d22e720e9bd

[ "MIT" ]

1

2018-11-24T16:44:49.000Z

simian/test/example_1/my_module.py

movermeyer/python-simian

c5870e4c5a81554bd37c835981cc9d22e720e9bd

[ "MIT" ]

3

2015-11-27T19:02:14.000Z

2018-03-05T17:27:39.000Z

simian/test/example_1/my_module.py

movermeyer/python-simian

c5870e4c5a81554bd37c835981cc9d22e720e9bd

[ "MIT" ]

1

2018-03-05T17:23:25.000Z

from time import sleep def my_sleep(duration_secs): print('Sleeping for {n} seconds'.format(n=duration_secs)) sleep(duration_secs)

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py

Python

algo_profiler/helpers.py

Michael-Wisniewski/Profiler

9558b85b5a4935f2c05b5f162b1c00839c52299b

[ "MIT" ]

1

2021-05-03T20:58:12.000Z

algo_profiler/helpers.py

Michael-Wisniewski/Profiler

9558b85b5a4935f2c05b5f162b1c00839c52299b

[ "MIT" ]

1

2021-05-31T10:03:33.000Z

2021-05-31T16:33:13.000Z

algo_profiler/helpers.py

Michael-Wisniewski/algo-profiler

9558b85b5a4935f2c05b5f162b1c00839c52299b

[ "MIT" ]

null

from enum import Enum class LabelBase(Enum): def __str__(self): return self.value

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5

f84c0815c5e3f7594981ac363172a44667eaa648

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py

Python

post_processing/parenchyma_enhancement.py

LongxiZhou/DLPE-method

ed20abc91e27423c7ff677a009cfd99314730217

[ "BSD-3-Clause" ]

null

post_processing/parenchyma_enhancement.py

LongxiZhou/DLPE-method

ed20abc91e27423c7ff677a009cfd99314730217

[ "BSD-3-Clause" ]

null

post_processing/parenchyma_enhancement.py

LongxiZhou/DLPE-method

ed20abc91e27423c7ff677a009cfd99314730217

[ "BSD-3-Clause" ]

1

2021-08-22T14:29:58.000Z

""" input: rescaled_ct scan with shape [512, 512, 512] output: removed airway, blood vessel and set the parenchyma value to 0, """ import Tool_Functions.Functions as Functions import visualization.visualize_3d.visualize_stl as visualize import os import numpy as np import post_processing.remove_airway_blood_vessel as extend_functions import prediction.predict_rescaled as predictor import warnings np.set_printoptions(threshold=np.inf) def remove_airway_and_blood_vessel_based_on_upper_frontal(rescaled_ct, lung_mask=None, airway=None, blood_vessel=None, extend_ratio=1.1, max_diameter=50, show_stl=False, parenchyma_value=False): """ :param rescaled_ct: the [512, 512, 512] spatial and signal normalized data :param lung_mask: we will predict if it is None :param airway: the airway mask, we will predict if it is None :param blood_vessel: the blood_vessel mask, we will predict if it is None :param extend_ratio: the diameter of this region will be extend by this ratio and this ratio + 0.1. The tissue in the middle of these two regions is ASSUMED AS PARENCHYMA! :param max_diameter: if the diameter of the region is greater than the max_diameter, we extend the region to new diameter: (extend_ratio - 1) * max_diameter + old_diameter :param show_stl: whether to visualize the 3D model after segmentation :param parenchyma_value: False, not return it, True, return it :return: enhanced_array in shape [512, 512, 512], which is enhanced rescaled ct images; or enhanced_array, parenchyma_value """ if lung_mask is None: lung_mask = predictor.predict_lung_masks_rescaled_array(rescaled_ct) lung_mask_box = Functions.get_bounding_box(lung_mask) print("lung_mask_box:", lung_mask_box) lung_length_z = lung_mask_box[2][1] - lung_mask_box[2][0] superior_start = int(lung_mask_box[2][1] - lung_length_z * 0.32988803223955687) # this is the upper superior_end = lung_mask_box[2][1] air_way_merge_z_bounding_box = Functions.get_bounding_box(lung_mask[:, :, superior_start]) upper_start = air_way_merge_z_bounding_box[0][0] # this is the frontal upper_end = air_way_merge_z_bounding_box[0][1] - int((air_way_merge_z_bounding_box[0][1] - air_way_merge_z_bounding_box[0][0])/2) print("lung length on z:", lung_length_z, "superior range:", superior_start, superior_end, "upper range:", upper_start, upper_end) upper_superior_mask = np.zeros(np.shape(lung_mask), 'float32') upper_superior_mask[upper_start: upper_end, :, superior_start: superior_end] = 1.0 upper_superior_mask = upper_superior_mask * lung_mask # this is the mask for upper frontal lung if airway is None: refined_airway_mask = predictor.get_prediction_airway(rescaled_ct, lung_mask=lung_mask) else: refined_airway_mask = airway if blood_vessel is None: refined_blood_vessel_mask = predictor.get_prediction_blood_vessel(rescaled_ct, lung_mask=lung_mask) else: refined_blood_vessel_mask = blood_vessel if show_stl: print("lung") visualize.visualize_numpy_as_stl(lung_mask) print("airway") visualize.visualize_numpy_as_stl(refined_airway_mask) print("blood vessels") visualize.visualize_numpy_as_stl(refined_blood_vessel_mask) rescaled_ct = rescaled_ct * lung_mask visible_non_infection = np.array((refined_blood_vessel_mask + refined_airway_mask) * lung_mask > 0.5, 'float32') rescaled_ct_original = np.array(rescaled_ct) assert extend_ratio > 1 print("extending air way") visible_extended_outer = extend_functions.extend_tubes(visible_non_infection, None, extend_ratio + 0.1, int(max_diameter * 1.1)) visible_extended = extend_functions.extend_tubes(visible_non_infection, None, extend_ratio, max_diameter) visible_extended = visible_extended_outer - visible_extended context_mask = visible_extended - visible_non_infection context_mask = np.clip(context_mask, 0, 1) context_mask = context_mask * upper_superior_mask print(Functions.stat_on_mask(rescaled_ct_original, context_mask)) exit() num_context_points = np.sum(context_mask) print("there are:", num_context_points, "parenchyma sample points") if num_context_points < 10000: warnings.warn('Too less (<10000) sampled parenchyma points. Maybe use "general sampling"', SyntaxWarning) context = context_mask * rescaled_ct_original + context_mask * 10 context = np.reshape(context, (-1,)) context = np.sort(context) total_points = len(context) percentile = 50 threshold = context[total_points - int(num_context_points * (100 - percentile) / 100)] - 10 if threshold > -0.1: warnings.warn('Too high threshold. Maybe use "general sampling"?', SyntaxWarning) print("the context is:", threshold, 'at percentile', percentile) rescaled_ct[np.where(visible_non_infection >= 0.5)] = threshold # removed the airway and blood vessel rescaled_ct = rescaled_ct - threshold * lung_mask # threshold is the value of lung parenchyma # set the parenchyma value to zero enhanced_array = np.zeros([512, 512, 512], 'float32') enhanced_array[:, :, :] = rescaled_ct enhanced_array = np.clip(enhanced_array, -0.05, 0.25) if parenchyma_value: return enhanced_array, threshold return enhanced_array def remove_airway_and_blood_vessel_general_sampling(rescaled_ct, lung_mask=None, airway=None, blood_vessel=None, extend_ratio=1.1, max_diameter=50, show_stl=False, parenchyma_value=False, window=False): """ :param window: if True, return the scan optimal window :param rescaled_ct: the [512, 512, 512] spatial and signal normalized data :param lung_mask: we will predict if it is None :param airway: the airway mask, we will predict if it is None :param blood_vessel: the blood_vessel mask, we will predict if it is None :param extend_ratio: the diameter of this region will be extend by this ratio. And the extended region is ASSUMED AS PARENCHYMA! :param max_diameter: if the diameter of the region is greater than the max_diameter, we extend the region to new diameter: (extend_ratio - 1) * max_diameter + old_diameter :param show_stl: whether to visualize the 3D model after segmentation :param parenchyma_value: False, not return it, True, return it :return: enhanced_array in shape [512, 512, 512], which is enhanced rescaled ct images; or enhanced_array, parenchyma_value """ if lung_mask is None: lung_mask = predictor.predict_lung_masks_rescaled_array(rescaled_ct) lung_mask_box = Functions.get_bounding_box(lung_mask) print("lung_mask_box:", lung_mask_box) if airway is None: refined_airway_mask = predictor.get_prediction_airway(rescaled_ct, lung_mask=lung_mask) else: refined_airway_mask = airway if blood_vessel is None: refined_blood_vessel_mask = predictor.get_prediction_blood_vessel(rescaled_ct, lung_mask=lung_mask) else: refined_blood_vessel_mask = blood_vessel if show_stl: print("lung") visualize.visualize_numpy_as_stl(lung_mask) print("airway") visualize.visualize_numpy_as_stl(refined_airway_mask) print("blood vessels") visualize.visualize_numpy_as_stl(refined_blood_vessel_mask) rescaled_ct = rescaled_ct * lung_mask visible_non_infection = np.array((refined_blood_vessel_mask + refined_airway_mask) * lung_mask > 0.5, 'float32') rescaled_ct_original = np.array(rescaled_ct) assert extend_ratio > 1 print("extending air way and blood vessels") visible_extended_outer = extend_functions.extend_tubes(visible_non_infection, None, extend_ratio + 0.1, int(max_diameter * 1.1)) visible_extended = extend_functions.extend_tubes(visible_non_infection, None, extend_ratio, max_diameter) visible_extended = visible_extended_outer - visible_extended context_mask = visible_extended - visible_non_infection context_mask = np.clip(context_mask, 0, 1) num_context_points = np.sum(context_mask) print("there are:", num_context_points, "parenchyma sample points") context = context_mask * rescaled_ct_original + context_mask * 10 context = np.reshape(context, (-1,)) context = np.sort(context) total_points = len(context) percentile = 50 threshold = context[total_points - int(num_context_points * (100 - percentile) / 100)] - 10 std = np.std(context[total_points - int(num_context_points * 0.9): total_points - int(num_context_points * 0.1)]) print("the context is:", threshold, 'at percentile', percentile) rescaled_ct[np.where(visible_non_infection >= 0.5)] = threshold # removed the airway and blood vessel rescaled_ct = rescaled_ct - threshold * lung_mask # threshold is the value of lung parenchyma # set the parenchyma value to zero enhanced_array = np.zeros([512, 512, 512], 'float32') enhanced_array[:, :, :] = rescaled_ct enhanced_array = np.clip(enhanced_array, -0.05, 0.25) if parenchyma_value: return enhanced_array, threshold if window: return enhanced_array, -600 + threshold * 1600, std * 1.5 * 1600 return enhanced_array def prepare_arrays_raw_for_normal_and_hospitalize(rescaled_ct, lung_mask=None, airway=None, blood_vessel=None, lesion=None, extend_ratio=1.1, max_diameter=50, normal=True, mask_name=None, save_dict=None, upperlobe=True): """ :param rescaled_ct: the [512, 512, 512] spatial and signal normalized data :param lung_mask: the [512, 512, 512] mask array, we will predict if it is None :param airway: the airway mask, we will predict if it is None :param blood_vessel: the blood_vessel mask, we will predict if it is None :param lesion: the mask of the lesion, we will predict if it is None AND "normal" is False :param extend_ratio: the diameter of this region will be extend by this ratio. And the extended region is ASSUMED AS PARENCHYMA! :param max_diameter: if the diameter of the region is greater than the max_diameter, we extend the region to new diameter: (extend_ratio - 1) * max_diameter + old_diameter :param normal: if it is true and the lesion mask is None, predict the lesion :return: the arrays_raw in shape [512, 512, 512, 2]: arrays_raw[:, :, :, 0] is the enhanced_array rescaled ct data, which is the input images arrays_raw[:, :, :, 1] is the mask for lesion, which is the ground truth (can be all zeros) """ if lung_mask is None: lung_mask = predictor.predict_lung_masks_rescaled_array(rescaled_ct) if airway is None: airway = predictor.get_prediction_airway(rescaled_ct, lung_mask=lung_mask) if blood_vessel is None: blood_vessel = predictor.get_prediction_blood_vessel(rescaled_ct, lung_mask=lung_mask) if lesion is not None: assert normal is not True if lesion is None and normal is not True: lesion = predictor.predict_covid_19_infection_rescaled_array(rescaled_ct, lung_mask=lung_mask) if normal is True: lesion = np.zeros([512, 512, 512], 'float32') if mask_name is not None: Functions.save_np_array(os.path.join(save_dict, 'lung_masks') + '/', mask_name, lung_mask, True) Functions.save_np_array(os.path.join(save_dict, 'airway_stage_two') + '/', mask_name, airway, True) Functions.save_np_array(os.path.join(save_dict, 'blood_vessel_stage_two') + '/', mask_name, blood_vessel, True) Functions.save_np_array(os.path.join(save_dict, 'lesion') + '/', mask_name, lesion, True) if upperlobe: enhanced_rescaled_ct = remove_airway_and_blood_vessel_based_on_upper_frontal(rescaled_ct, lung_mask, airway, blood_vessel, extend_ratio, max_diameter, False) else: enhanced_rescaled_ct = remove_airway_and_blood_vessel_general_sampling(rescaled_ct, lung_mask, airway, blood_vessel, extend_ratio, max_diameter, False) arrays_raw = np.zeros([512, 512, 512, 2], 'float32') arrays_raw[:, :, :, 0] = enhanced_rescaled_ct arrays_raw[:, :, :, 1] = lesion return arrays_raw if __name__ == "__main__": exit()

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null

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1

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null

0

5

f8b1d937fe11aa977dd02f189817945a4a4d6ddf

270

py

Python

src/control/__init__.py

maxwellpettit/PythonRobot

2b65ab724d8406c0922801a56d6c429563b1fe41

[ "MIT" ]

4

2018-10-11T14:52:30.000Z

2021-07-04T19:38:19.000Z

src/control/__init__.py

maxwellpettit/PythonRobot

2b65ab724d8406c0922801a56d6c429563b1fe41

[ "MIT" ]

null

src/control/__init__.py

maxwellpettit/PythonRobot

2b65ab724d8406c0922801a56d6c429563b1fe41

[ "MIT" ]

null

from .pidController import PidController from .sonicController import SonicController from .encoderController import EncoderController from .gyroController import GyroController from .velocityController import VelocityController from .poseEstimator import PoseEstimator

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3e042394178fcf3f3edbe2ce6f96e8af3787ff31

22

py

Python

src/flint/__init__.py

fredrik-johansson/python-flint

1a68cffc3b8454f57f5c5ffdd94df3f11b081468

[ "MIT" ]

47

2015-02-06T12:28:53.000Z

2022-02-28T16:43:56.000Z

src/flint/__init__.py

sthagen/python-flint

c6e3b9b132db40bda06f0eef566718f3a0da08eb

[ "MIT" ]

19

2017-10-08T21:12:50.000Z

2022-03-20T21:22:48.000Z

src/flint/__init__.py

sthagen/python-flint

c6e3b9b132db40bda06f0eef566718f3a0da08eb

[ "MIT" ]

14

2015-02-19T00:49:16.000Z

2022-03-31T18:23:22.000Z

from ._flint import *

11

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3e11730916138f31e7731a3df74d897e05445b8e

369

py

Python

Mesh.py

gilangwinduasmara/obj-to-opengl-code-converter

175cae94412496f4cf1da8ca35ca993f34761410

[ "MIT" ]

3

2020-06-27T10:13:17.000Z

2021-04-21T08:50:41.000Z

Mesh.py

gilangwinduasmara/obj-to-opengl-code-converter

175cae94412496f4cf1da8ca35ca993f34761410

[ "MIT" ]

1

2020-07-14T13:48:03.000Z

Mesh.py

gilangwinduasmara/obj-to-opengl-code-converter

175cae94412496f4cf1da8ca35ca993f34761410

[ "MIT" ]

6

2020-06-27T15:18:01.000Z

2020-07-21T07:04:52.000Z

class Mesh: def __init__(self): self.vertexs = [] def setName(self, name): self.name = name def addVertex(self, x, y, z): self.vertexs.append([x, y, z]) def read(self): print(self.name) print(self.vertexs) def getVertexs(self): return self.vertexs def getName(self): return self.name

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null

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1

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5

3e19eafce08f95d249b1f505b804b3939998ada9

1,339

py

Python

backend/youngun/youngun/apps/campaigns/migrations/0012_auto_20210123_0414.py

aakashbajaj/Youngun-Campaign-Tracking

a3b4f283b22cefb92c72f7638ee2a9da72622de0

[ "Apache-2.0" ]

null

backend/youngun/youngun/apps/campaigns/migrations/0012_auto_20210123_0414.py

aakashbajaj/Youngun-Campaign-Tracking

a3b4f283b22cefb92c72f7638ee2a9da72622de0

[ "Apache-2.0" ]

1

2021-09-22T19:27:06.000Z

backend/youngun/youngun/apps/campaigns/migrations/0012_auto_20210123_0414.py

aakashbajaj/Youngun-Campaign-Tracking

a3b4f283b22cefb92c72f7638ee2a9da72622de0

[ "Apache-2.0" ]

null

# Generated by Django 3.0.3 on 2021-01-22 22:44 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('campaigns', '0011_auto_20210118_0907'), ] operations = [ migrations.AddField( model_name='campaign', name='fb_engagement', field=models.IntegerField(default=0, verbose_name='fb_engagement'), ), migrations.AddField( model_name='campaign', name='fb_reach', field=models.IntegerField(default=0, verbose_name='fb_reach'), ), migrations.AddField( model_name='campaign', name='in_engagement', field=models.IntegerField(default=0, verbose_name='in_engagement'), ), migrations.AddField( model_name='campaign', name='in_reach', field=models.IntegerField(default=0, verbose_name='in_reach'), ), migrations.AddField( model_name='campaign', name='tw_engagement', field=models.IntegerField(default=0, verbose_name='tw_engagement'), ), migrations.AddField( model_name='campaign', name='tw_reach', field=models.IntegerField(default=0, verbose_name='tw_reach'), ), ]

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1

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null

0

5

3e2518d96df9a512f208bacbde6dc50e3517a17c

136

py

Python

nanogds/base/__init__.py

nanophysics/nanoGDS

606ca36bafb4ff844b70cfe46520e62df35edc6f

[ "MIT" ]

1

2020-09-15T15:27:13.000Z

nanogds/base/__init__.py

nanophysics/nanoGDS

606ca36bafb4ff844b70cfe46520e62df35edc6f

[ "MIT" ]

null

nanogds/base/__init__.py

nanophysics/nanoGDS

606ca36bafb4ff844b70cfe46520e62df35edc6f

[ "MIT" ]

null

from .lib import GDS, MaskTemplate from .shape import Shape from .coplanar_shape import CoplanarShape from .reference import Reference

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5

3e454609cfcdc590dd1c1460700889d5c90f7e55

101

py

Python

src/verbosemanager/__init__.py

alexhroom/verbosemanager

d53fff414ef39f4e568ce79abaf7ffe0e4ec2a30

[ "MIT" ]

null

src/verbosemanager/__init__.py

alexhroom/verbosemanager

d53fff414ef39f4e568ce79abaf7ffe0e4ec2a30

[ "MIT" ]

12

2022-01-05T10:37:57.000Z

2022-03-24T13:02:49.000Z

src/verbosemanager/__init__.py

alexhroom/verbosemanager

d53fff414ef39f4e568ce79abaf7ffe0e4ec2a30

[ "MIT" ]

null

from .verbosemanager import * from .decorator import * from .simple import * from .counter import *

16.833333

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101

6.333333

0.5

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30

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0

1

0

true

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null

1

0

1

0

null

0

1

0

1

0

5

3e5804493acc82312eccbcb587e3cc5be5a48bae

213

py

Python

DynamicalSystems/__init__.py

robotsorcerer/LevelSetPy

54064ee7fd0144e0d658dd4f6121cbc1fda664b9

[ "MIT" ]

4

2022-03-14T07:04:08.000Z

2022-03-14T18:08:56.000Z

DynamicalSystems/__init__.py

robotsorcerer/LevelSetPy

54064ee7fd0144e0d658dd4f6121cbc1fda664b9

[ "MIT" ]

null

DynamicalSystems/__init__.py

robotsorcerer/LevelSetPy

54064ee7fd0144e0d658dd4f6121cbc1fda664b9

[ "MIT" ]

null

from .dubins_relative import * from .dubins_absolute import * from .bird import Bird from .flock import Flock from .double_integrator import DoubleIntegrator from .dubins_config import dubins_default_params

30.428571

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0.821596

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6.035714

0.464286

0.177515

0

0.140845

213

6

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35.5

0.923497

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true

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null

0

1

0

1

0

1

0

5

3e5d95a21deaece80d3dbb06bb7aaf1586728ee1

220

py

Python

run.py

Pyprohly/powershell-bot

8da0831f09af95b2524a1988c44b6d6cb6d0ae0b

[ "MIT" ]

4

2019-02-03T21:01:30.000Z

2019-04-15T19:09:27.000Z

run.py

Pyprohly/powershell-bot

8da0831f09af95b2524a1988c44b6d6cb6d0ae0b

[ "MIT" ]

null

run.py

Pyprohly/powershell-bot

8da0831f09af95b2524a1988c44b6d6cb6d0ae0b

[ "MIT" ]

null

#!/usr/bin/env python3 import os, sys from subprocess import Popen os.chdir(os.path.dirname(os.path.abspath(__file__))) Popen((sys.executable, 'powershell_bot.py')) Popen((sys.executable, 'powershell_recheck_bot.py'))

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4.909091

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0.074074

0.222222

0.345679

0

0.004902

0.072727

220

8

53

27.5

0.789216

0.095455

0

0.212121

0.126263

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1

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true

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0.4

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0.4

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null

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null

0

1

0

1

0

5

3e7a25b48b8b45b5710dee86bb52fca4b6b5d024

146

py

Python

scrapereads/goodreads_scrape/__init__.py

guilhermecxe/scrapereads

f89685bfd0d2b2476c180418be85316d38bf2c0a

[ "MIT" ]

null

scrapereads/goodreads_scrape/__init__.py

guilhermecxe/scrapereads

f89685bfd0d2b2476c180418be85316d38bf2c0a

[ "MIT" ]

1

2022-01-08T12:51:10.000Z

scrapereads/goodreads_scrape/__init__.py

guilhermecxe/scrapereads

f89685bfd0d2b2476c180418be85316d38bf2c0a

[ "MIT" ]

null

from scrapereads.goodreads_scrape.goodreads_scrape import ( get_book_infos, get_choice_awards_categories, get_choice_awards_nominees )

29.2

59

0.828767

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146

6.166667

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146

5

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true

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5

e48b7ecb8449a52a2af6d0e561617ca6b11c0e2d

189

py

Python

src/lib/trains/train_factory.py

nerminsamet/HoughNet-VID

670405e002e1c4d60596434db4790783eaf62846

[ "MIT" ]

5

2021-04-26T12:46:14.000Z

2021-09-15T15:17:35.000Z

src/lib/trains/train_factory.py

nerminsamet/HoughNet-VID

670405e002e1c4d60596434db4790783eaf62846

[ "MIT" ]

1

2021-09-06T05:22:32.000Z

2021-09-07T15:11:18.000Z

src/lib/trains/train_factory.py

nerminsamet/HoughNet-VID

670405e002e1c4d60596434db4790783eaf62846

[ "MIT" ]

1

2021-07-01T13:42:15.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from .ctdet import CtdetTrainer train_factory = { 'ctdet': CtdetTrainer, }

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e4ee42395c0f6f36d68c52b2b0b2464339de0a98

234

py

Python

django_toolbox/apps/billing/forms.py

stlk/django-toolbox

146abdae59f7b27be7aaddce611faea91a0d4b69

[ "MIT" ]

2

2019-10-03T13:37:01.000Z

2020-07-02T11:43:20.000Z

django_toolbox/apps/billing/forms.py

stlk/django-toolbox

146abdae59f7b27be7aaddce611faea91a0d4b69

[ "MIT" ]

7

2018-11-10T12:44:58.000Z

2021-09-22T17:50:59.000Z

django_toolbox/apps/billing/forms.py

stlk/django-toolbox

146abdae59f7b27be7aaddce611faea91a0d4b69

[ "MIT" ]

null

from django import forms class RecurringApplicationChargeForm(forms.Form): shop = forms.CharField(max_length=250) name = forms.CharField(max_length=250) price = forms.DecimalField() trial_days = forms.IntegerField()

26

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6.407407

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0

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8

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false

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1

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null

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1

0

5

e4f7da178efc700cdfa676de49bb3c77f4864b79

95

py

Python

webassets_traceur/__init__.py

concordusapps/webassets-traceur

f7b9513537a881aae9d26203f1bc03e133db71e1

[ "MIT" ]

1

2015-05-24T16:30:10.000Z

webassets_traceur/__init__.py

concordusapps/webassets-traceur

f7b9513537a881aae9d26203f1bc03e133db71e1

[ "MIT" ]

null

webassets_traceur/__init__.py

concordusapps/webassets-traceur

f7b9513537a881aae9d26203f1bc03e133db71e1

[ "MIT" ]

null

from ._version import __version__, __version_info__ # noqa from .filters import TraceurFilter

31.666667

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6.272727

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0

0.126316

95

2

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true

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0

5

e4f934ee46d11b5d615dcad773a6bfb0d1b876e8

1,274

py

Python

tests/validate/test_hacsjson_check.py

kiss2u/integration

230b7035898b5faa3b40af76261d362bc2224b77

[ "MIT" ]

15

2022-02-25T13:17:43.000Z

2022-03-24T15:23:22.000Z

tests/validate/test_hacsjson_check.py

kiss2u/integration

230b7035898b5faa3b40af76261d362bc2224b77

[ "MIT" ]

6

2019-03-02T10:13:15.000Z

2019-03-02T14:00:40.000Z

tests/validate/test_hacsjson_check.py

ludeeus/harm

55794176fccf55321780decf9ef354e91a41d1b9

[ "MIT" ]

1

2022-03-08T13:25:35.000Z

from aiogithubapi.objects.repository.content import AIOGitHubAPIRepositoryTreeContent import pytest from custom_components.hacs.validate.hacsjson import Validator @pytest.mark.asyncio async def test_hacs_manifest_no_manifest(repository): check = Validator(repository) await check.execute_validation() assert check.failed @pytest.mark.asyncio async def test_hacs_manifest_with_valid_manifest(repository): repository.tree = [ AIOGitHubAPIRepositoryTreeContent( {"path": "hacs.json", "type": "file"}, "test/test", "main" ) ] async def _async_get_hacs_json(_): return {"name": "test"} repository.async_get_hacs_json = _async_get_hacs_json check = Validator(repository) await check.execute_validation() assert not check.failed @pytest.mark.asyncio async def test_hacs_manifest_with_invalid_manifest(repository): repository.tree = [ AIOGitHubAPIRepositoryTreeContent( {"path": "hacs.json", "type": "file"}, "test/test", "main" ) ] async def _async_get_hacs_json(_): return {"not": "valid"} repository.async_get_hacs_json = _async_get_hacs_json check = Validator(repository) await check.execute_validation() assert check.failed

26.541667

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0.147059

0

null

0

1

0

null

0

5

9038caeae9e85d2e168d0dc497aba9493e44e20c

64

py

Python

deco/tokenizers/__init__.py

mfojtak/decor

203979351635a6794c91200fca4a14296ec9bc37

[ "MIT" ]

1

2019-09-05T07:23:19.000Z

deco/tokenizers/__init__.py

mfojtak/decor

203979351635a6794c91200fca4a14296ec9bc37

[ "MIT" ]

2

2020-10-25T17:41:08.000Z

2020-10-26T16:48:19.000Z

deco/tokenizers/__init__.py

mfojtak/deco

203979351635a6794c91200fca4a14296ec9bc37

[ "MIT" ]

null

from deco.tokenizers.sentencepiece import SentencepieceTokenizer

64

0.921875

6

64

9.833333

1

0

0.046875

64

1

64

0.967213

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1

0

null

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1

0

null

0

1

0

1

0

1

0

5

5f69fdf5d68a32facfb013f25292ed43ae8fad43

286

py

Python

toontown/cogdominium/DistributedCogdoElevatorExtAI.py

MasterLoopyBM/Toontown

ebed7fc3f2ef06a529cf02eda7ab46361aceef9d

[ "MIT" ]

1

2020-02-07T18:15:12.000Z

toontown/cogdominium/DistributedCogdoElevatorExtAI.py

TrueBlueDogemon/Toontown

ebed7fc3f2ef06a529cf02eda7ab46361aceef9d

[ "MIT" ]

null

toontown/cogdominium/DistributedCogdoElevatorExtAI.py

TrueBlueDogemon/Toontown

ebed7fc3f2ef06a529cf02eda7ab46361aceef9d

[ "MIT" ]

2

2020-11-08T03:38:35.000Z

2021-09-02T07:03:47.000Z

from direct.directnotify import DirectNotifyGlobal from toontown.building.DistributedElevatorExtAI import DistributedElevatorExtAI class DistributedCogdoElevatorExtAI(DistributedElevatorExtAI): notify = DirectNotifyGlobal.directNotify.newCategory("DistributedCogdoElevatorExtAI")

40.857143

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90

47.666667

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null

0

1

0

null

0

1

0

1

0

5

5f707d799c91462e89bd6fda7da090cfd78e2cad

608

py

Python

tests/functional/test_example_imports.py

captain-kark/module_resources

d85453ff4f5022127874a5842449d95bb5eda234

[ "MIT" ]

null

tests/functional/test_example_imports.py

captain-kark/module_resources

d85453ff4f5022127874a5842449d95bb5eda234

[ "MIT" ]

8

2019-07-24T11:18:36.000Z

2019-08-05T06:43:32.000Z

tests/functional/test_example_imports.py

captain-kark/module_resources

d85453ff4f5022127874a5842449d95bb5eda234

[ "MIT" ]

1

2021-07-18T06:30:32.000Z

def test_json_and_yaml_are_identical_dicts(): from module_resources.examples.json import logging_config as json_logging_config from module_resources.examples.yaml import logging_config as yaml_logging_config assert dict(json_logging_config) == dict(yaml_logging_config) def test_top_level_properties_are_importable(): from module_resources.examples.json.logging_config import formatters as json_logging_formatters from module_resources.examples.yaml.logging_config import formatters as yaml_logging_formatters assert dict(json_logging_formatters) == dict(yaml_logging_formatters)

46.769231

99

0.848684

83

608

5.795181

0.277108

0.216216

0.158004

0.224532

0.386694

0

0.105263

608

12

100

50.666667

0.884191

0

0.25

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0.25

true

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null

1

0

1

0

null

0

1

0

1

0

5

5f7966773dd8eb381951c4988bcd51aae680610f

345

py

Python

code/level8.py

ab300819/PythonChallenge

4bcc91f8b11d0a5ec5720137bef55eec6b1f7581

[ "Apache-2.0" ]

null

code/level8.py

ab300819/PythonChallenge

4bcc91f8b11d0a5ec5720137bef55eec6b1f7581

[ "Apache-2.0" ]

null

code/level8.py

ab300819/PythonChallenge

4bcc91f8b11d0a5ec5720137bef55eec6b1f7581

[ "Apache-2.0" ]

null

# -*-coding:utf-8-*- __author__ = 'Think' import bz2 un = 'BZh91AY&SYA\xaf\x82\r\x00\x00\x01\x01\x80\x02\xc0\x02\x00 \x00!\x9ah3M\x07<]\xc9\x14\xe1BA\x06\xbe\x084' pw = 'BZh91AY&SY\x94$|\x0e\x00\x00\x00\x81\x00\x03$ \x00!\x9ah3M\x13<]\xc9\x14\xe1BBP\x91\xf08' print ('username:' + bz2.decompress(un)) print ('password:' + bz2.decompress(pw))

31.363636

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0

null

0

1

0

1

null

0

1

0

5

5f98e78ff04859f17c2e7bbbb051d614fed546ff

71

py

Python

annex/external/mask/__init__.py

rwightman/tensorflow-annex

da17339e8e5a9ab9b66dac2edc8ece8133227713

[ "Apache-2.0" ]

8

2016-10-09T17:51:42.000Z

2022-03-09T09:43:27.000Z

annex/external/mask/__init__.py

rwightman/tensorflow-annex

da17339e8e5a9ab9b66dac2edc8ece8133227713

[ "Apache-2.0" ]

1

2017-02-12T16:33:04.000Z

2017-02-17T15:17:04.000Z

annex/external/mask/__init__.py

rwightman/tensorflow-annex

da17339e8e5a9ab9b66dac2edc8ece8133227713

[ "Apache-2.0" ]

4

2017-02-12T15:37:54.000Z

2020-06-08T17:31:26.000Z

from .mask import encode, decode, iou, merge, area, toBbox, frPyObjects

71

0.774648

10

71

5.5

1

0

0.126761

71

1

71

0.887097

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1

0

true

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1

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1

0

null

0

1

0

1

0

1

0

5

5fb9d423e259254f070d4d602af8fbab6cfc9965

1,765

py

Python

alembic/versions/67a5401e0198_add_ows_connection_types.py

qwc-services/sogis-agdi

f278612c42f648da07448905f2b8021b279e66bc

[ "MIT" ]

null

alembic/versions/67a5401e0198_add_ows_connection_types.py

qwc-services/sogis-agdi

f278612c42f648da07448905f2b8021b279e66bc

[ "MIT" ]

null

alembic/versions/67a5401e0198_add_ows_connection_types.py

qwc-services/sogis-agdi

f278612c42f648da07448905f2b8021b279e66bc

[ "MIT" ]

null

"""add ows connection types Revision ID: 67a5401e0198 Revises: 961f20b3f8e6 Create Date: 2020-11-25 16:37:31.546907 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '67a5401e0198' down_revision = '961f20b3f8e6' branch_labels = None depends_on = None def upgrade(): # NOTE: recreate connection_type, as the following does not work inside # a transaction # Manual execution: # psql service=soconfig_services -c "ALTER TYPE gdi_knoten.connection_type ADD VALUE 'wms'" # psql service=soconfig_services -c "ALTER TYPE gdi_knoten.connection_type ADD VALUE 'wmts'" sql = sa.sql.text(""" ALTER TYPE gdi_knoten.connection_type RENAME TO connection_type_old; CREATE TYPE gdi_knoten.connection_type AS ENUM ('database','directory', 'wms', 'wmts'); ALTER TABLE gdi_knoten.data_source ALTER COLUMN connection_type TYPE gdi_knoten.connection_type USING connection_type::text::gdi_knoten.connection_type; DROP TYPE gdi_knoten.connection_type_old; """) conn = op.get_bind() conn.execute(sql) def downgrade(): sql = sa.sql.text(""" DELETE FROM gdi_knoten.data_source WHERE connection_type IN ('wms', 'wmts'); ALTER TYPE gdi_knoten.connection_type RENAME TO connection_type_old; CREATE TYPE gdi_knoten.connection_type AS ENUM ('database','directory'); ALTER TABLE gdi_knoten.data_source ALTER COLUMN connection_type TYPE gdi_knoten.connection_type USING connection_type::text::gdi_knoten.connection_type; DROP TYPE gdi_knoten.connection_type_old; """) conn = op.get_bind() conn.execute(sql)

27.578125

96

0.693484

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1,765

5.176211

0.361233

0.238298

0.194043

0.234894

0.628085

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0.040876

0.223796

1,765

63

97

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0.816788

0.250425

0

0.647059

0

0.739695

0.330534

0

1

0.058824

false

0

0.058824

0

0.117647

0

null

1

0

1

0

1

0

null

0

5

5fc0919ef2045c7b712aa9b30a7316482a6ca3b2

125

py

Python

tutorials/katacoda/tasks/src/client/main.py

jhonmike/tekton.dev

648a22910bdf2897216a663101006f6570a99141

[ "Apache-2.0" ]

51

2019-03-13T10:56:02.000Z

2021-11-07T14:01:08.000Z

tutorials/katacoda/tasks/src/client/main.py

jhonmike/tekton.dev

648a22910bdf2897216a663101006f6570a99141

[ "Apache-2.0" ]

357

2019-03-12T09:06:30.000Z

2022-03-28T13:37:14.000Z

tutorials/katacoda/tasks/src/client/main.py

jhonmike/tekton.dev

648a22910bdf2897216a663101006f6570a99141

[ "Apache-2.0" ]

89

2019-03-11T18:02:42.000Z

2022-03-21T10:29:15.000Z

import requests def greet(server, api_key): res = requests.get(server, params={'api_key': api_key}) return res.text

20.833333

59

0.704

19

125

4.473684

0.631579

0.211765

0

0.168

125

5

60

25

0.817308

0

0.056

0

1

0.25

false

0

0.25

0

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0

1

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null

1

0

1

0

null

0

1

0

1

0

5

39671434076f0ed4dd8e0760d1a22360b83fbb1c

3,033

py

Python

tests/test_shortlink.py

revythas/tinyurl-bitly

c9fc0c43bb327a8babba22d03bde2c2683194d35

[ "MIT" ]

null

tests/test_shortlink.py

revythas/tinyurl-bitly

c9fc0c43bb327a8babba22d03bde2c2683194d35

[ "MIT" ]

null

tests/test_shortlink.py

revythas/tinyurl-bitly

c9fc0c43bb327a8babba22d03bde2c2683194d35

[ "MIT" ]

null

import os import sys import json root = os.path.join(os.path.dirname(__file__)) package = os.path.join(root, '..') sys.path.insert(0, os.path.abspath(package)) from shorty.app import create_app class TestShortlink: """ GIVEN a Flask application configured for testing WHEN the '/shortlinks' page is is posted to (POST) for bitly/tinyurl THEN check that a '200' status code is returned and also getting a valid JSON FALLING back to tinyurl if there is an unkonwn provider """ url = '/shortlinks' mimetype = 'application/json' headers = { 'Content-Type': mimetype, 'Accept': mimetype } flask_app = create_app({ 'TESTING': True }) def test_shortlink_bitly(self): """ GIVEN a Flask application configured for testing WHEN the '/shortlinks' page is is posted to (POST) with 'bitly' provider THEN check that a '200' status code is returned and also getting a valid JSON """ data = { 'url': 'http://google.com/test/123', 'provider': 'bitly' } with self.flask_app.test_client() as test_client: response = test_client.post(self.url, data=json.dumps(data), headers=self.headers) assert response.status_code == 200 assert response.json['url'] == data['url'] assert response.json['link'] != '' and 'https://bit.ly/' in response.json['link'] def test_shortlink_tinyurl(self): """ GIVEN a Flask application configured for testing WHEN the '/shortlinks' page is is posted to (POST) with 'tinyurl' provider THEN check that a '200' status code is returned and also getting a valid JSON """ data = { 'url': 'http://google.com/test/123', 'provider': 'tinyurl' } with self.flask_app.test_client() as test_client: response = test_client.post(self.url, data=json.dumps(data), headers=self.headers) assert response.status_code == 200 assert response.json['url'] == data['url'] assert response.json['link'] != '' and 'https://tinyurl.com/' in response.json['link'] def test_shortlink_default(self): """ GIVEN a Flask application configured for testing WHEN the '/shortlinks' page is is posted to (POST) with ???UKNOWN??? provider THEN use 'tinyurl' as the default provider and check that a '200' status code is returned and also getting a valid JSON """ data = { 'url': 'http://google.com/test/123', 'provider': 'other-provider' } with self.flask_app.test_client() as test_client: response = test_client.post(self.url, data=json.dumps(data), headers=self.headers) assert response.status_code == 200 assert response.json['url'] == data['url'] assert response.json['link'] != '' and 'https://tinyurl.com/' in response.json['link']

37.444444

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0

0.255319

0

null

0

1

0

null

0

5

3975a79176018495357f18cbecfeb06622e13564

110

py

Python

concerned-coyotes/earlyinternet/wikipedia/admin.py

Vthechamp22/summer-code-jam-2021

0a8bf1f22f6c73300891fd779da36efd8e1304c1

[ "MIT" ]

40

2020-08-02T07:38:22.000Z

2021-07-26T01:46:50.000Z

concerned-coyotes/earlyinternet/wikipedia/admin.py

Vthechamp22/summer-code-jam-2021

0a8bf1f22f6c73300891fd779da36efd8e1304c1

[ "MIT" ]

134

2020-07-31T12:15:45.000Z

2020-12-13T04:42:19.000Z

concerned-coyotes/earlyinternet/wikipedia/admin.py

Vthechamp22/summer-code-jam-2021

0a8bf1f22f6c73300891fd779da36efd8e1304c1

[ "MIT" ]

101

2020-07-31T12:00:47.000Z

2021-11-01T09:06:58.000Z

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

18.333333

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0.845455

13

110

7.153846

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0

0.1

110

5

38

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true

0

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1

0

null

0

1

0

1

0

1

0

5

39843f000b2d1aaa713f6054e7f203cb38240b19

215

py

Python

etrobosim/ev3api/__init__.py

YoshitakaAtarashi/ETroboSimController

fe7821794217e099e565b9e514ae5efdd452bd59

[ "MIT" ]

null

etrobosim/ev3api/__init__.py

YoshitakaAtarashi/ETroboSimController

fe7821794217e099e565b9e514ae5efdd452bd59

[ "MIT" ]

null

etrobosim/ev3api/__init__.py

YoshitakaAtarashi/ETroboSimController

fe7821794217e099e565b9e514ae5efdd452bd59

[ "MIT" ]

null

from .Port import ePortM, ePortS from .Motor import Motor, MotorType from .ColorSensor import ColorSensor from .GyroSensor import GyroSensor from .SonarSensor import SonarSensor from .TouchSensor import TouchSensor

30.714286

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215

6.961538

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6

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35.833333

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0

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0

true

0

1

0

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0

null

0

1

0

1

0

1

0

5

3992ff1f8894f4c5b2567f32a634cbed2812381f

136

py

Python

python basics and applications/2/2-3/2-3-2.py

DzmitrySakalenka/stepik_courses

7c43ac35cd921e8f6f96fb4f15f77ace38cc2d21

[ "MIT" ]

null

python basics and applications/2/2-3/2-3-2.py

DzmitrySakalenka/stepik_courses

7c43ac35cd921e8f6f96fb4f15f77ace38cc2d21

[ "MIT" ]

null

python basics and applications/2/2-3/2-3-2.py

DzmitrySakalenka/stepik_courses

7c43ac35cd921e8f6f96fb4f15f77ace38cc2d21

[ "MIT" ]

null

def primes(): i, f = 2, 1 while True: if (f + 1) % i == 0: yield i f, i = f * i, i + 1

17

28

0.294118

21

136

1.904762

0.52381

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136

8

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0

1

0.166667

true

0

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null

0

1

0

1

0

null

0

1

0

5

39cf923e6f001513f77906bd70b58839a2e91cca

199

py

Python

ADWorld/maze.py

Don2025/CTFwriteUp

41e0a5bf87a1a02dd1548e621853c145ff64cedb

[ "MIT" ]

2

2022-03-20T02:27:59.000Z

2022-03-20T02:28:02.000Z

ADWorld/maze.py

Don2025/CTFwriteUp

41e0a5bf87a1a02dd1548e621853c145ff64cedb

[ "MIT" ]

null

ADWorld/maze.py

Don2025/CTFwriteUp

41e0a5bf87a1a02dd1548e621853c145ff64cedb

[ "MIT" ]

null

maze = ' ******* * **** * **** * *** *# *** *** *** *********' g = '' s = '' for i in range(0, len(maze)): g += maze[i] if (i+1)%8==0: g += s + '\n' s = '' print(g)

22.111111

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1

0

1

0

1

0

null

0

5

39d2bac72603afd32d3ad7bc77e44c2376abe346

202

py

Python

search/errors.py

nealedj/search

608dc52a43024b83f2d3c0cc1c769e461712083f

[ "MIT" ]

53

2015-02-27T15:17:49.000Z

2022-02-12T11:42:34.000Z

search/errors.py

nealedj/search

608dc52a43024b83f2d3c0cc1c769e461712083f

[ "MIT" ]

32

2015-01-20T13:03:55.000Z

2019-05-14T10:29:52.000Z

search/errors.py

nealedj/search

608dc52a43024b83f2d3c0cc1c769e461712083f

[ "MIT" ]

21

2015-06-05T09:07:07.000Z

2021-09-14T11:01:43.000Z

class Error(Exception): pass class FieldLookupError(Error): pass class BadValueError(Error): pass class DocumentClassRequiredError(Error): pass class FieldError(Error): pass

10.631579

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202

7.2

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0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

f2de9a7d2a8e31eeaff9e01d99e88c1e7ab1d97e

44

py

Python

src/utils/Testing_Folder/Fish/Dogs/ShibaInu.py

jonoddram/CodetagCrawler

6b6eaed738aef91fead3d2aaf3ab96e1cecd0cdf

[ "MIT" ]

null

src/utils/Testing_Folder/Fish/Dogs/ShibaInu.py

jonoddram/CodetagCrawler

6b6eaed738aef91fead3d2aaf3ab96e1cecd0cdf

[ "MIT" ]

null

src/utils/Testing_Folder/Fish/Dogs/ShibaInu.py

jonoddram/CodetagCrawler

6b6eaed738aef91fead3d2aaf3ab96e1cecd0cdf

[ "MIT" ]

null

# HACK Dog implemented by changing cat model

44

0.818182

7

44

5.142857

1

0

0.159091

44

1

44

0.972973

0.954545

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

84067e3ffc5706b060178267373bcb86f1764234

77

py

Python

vimfiles/bundle/vim-python/submodules/pylint/tests/functional/b/blacklisted_name.py

ciskoinch8/vimrc

5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8

[ "MIT" ]

463

2015-01-15T08:17:42.000Z

2022-03-28T15:10:20.000Z

vimfiles/bundle/vim-python/submodules/pylint/tests/functional/b/blacklisted_name.py

ciskoinch8/vimrc

5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8

[ "MIT" ]

52

2015-01-06T02:43:59.000Z

2022-03-14T11:15:21.000Z

vimfiles/bundle/vim-python/submodules/pylint/tests/functional/b/blacklisted_name.py

ciskoinch8/vimrc

5bf77a7e7bc70fac5173ab2e9ea05d7dda3e52b8

[ "MIT" ]

249

2015-01-07T22:49:49.000Z

2022-03-18T02:32:06.000Z

# pylint: disable=missing-docstring def baz(): # [disallowed-name] pass

15.4

35

0.688312

9

77

5.888889

1

0

0.168831

77

4

36

19.25

0.828125

0.662338

0

1

0.5

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

ffed5282aba35e39702921c6733bf5e800175ff6

62

py

Python

sbpy/thermal/__init__.py

dirac-institute/sbpy

9eb0523610f497ba2d068a071aae05ebfd67ed9d

[ "BSD-3-Clause" ]

47

2018-07-26T04:21:51.000Z

2022-03-07T16:23:02.000Z

sbpy/thermal/__init__.py

dirac-institute/sbpy

9eb0523610f497ba2d068a071aae05ebfd67ed9d

[ "BSD-3-Clause" ]

253

2018-07-24T12:12:57.000Z

2022-03-13T21:59:52.000Z

sbpy/thermal/__init__.py

dirac-institute/sbpy

9eb0523610f497ba2d068a071aae05ebfd67ed9d

[ "BSD-3-Clause" ]

27

2018-07-20T05:25:44.000Z

2022-03-01T03:29:30.000Z

""" SBPy Module for thermal modeling """ from .core import *

10.333333

32

0.677419

8

62

5.25

1

0

0.193548

62

5

33

12.4

0.84

0.516129

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ffff6e49494dade8eef822022a56830153a4825c

140

py

Python

tests/data/dummy_script.py

besirkurtulmus/sagemaker-python-sdk

73e8cf5f26efa3174e8283be8b287bd9182abec9

[ "Apache-2.0" ]

1

2018-01-19T22:24:38.000Z

tests/data/dummy_script.py

besirkurtulmus/sagemaker-python-sdk

73e8cf5f26efa3174e8283be8b287bd9182abec9

[ "Apache-2.0" ]

null

tests/data/dummy_script.py

besirkurtulmus/sagemaker-python-sdk

73e8cf5f26efa3174e8283be8b287bd9182abec9

[ "Apache-2.0" ]

2

2019-08-06T05:48:25.000Z

2020-10-04T17:00:55.000Z

print('This is definitely code which does machine learning stuff') print('and not just a random file I threw together for unit testing.')

46.666667

71

0.771429

23

140

4.695652

0.956522

0

0.164286

140

2

72

70

0.923077

0

0.855072

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5