hexsha stringlengths 40 40 | size int64 6 1.04M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 247 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 368k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 247 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 247 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.04M | avg_line_length float64 1.53 618k | max_line_length int64 1 1.02M | alphanum_fraction float64 0 1 | original_content stringlengths 6 1.04M | filtered:remove_non_ascii int64 0 538k | filtered:remove_decorators int64 0 917k | filtered:remove_async int64 0 722k | filtered:remove_classes int64 -45 1M | filtered:remove_generators int64 0 814k | filtered:remove_function_no_docstring int64 -102 850k | filtered:remove_class_no_docstring int64 -3 5.46k | filtered:remove_unused_imports int64 -1,350 52.4k | filtered:remove_delete_markers int64 0 59.6k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c5d092a41c6e24953c6673c0cda130ad2dac0976 | 83 | py | Python | 0-notes/job-search/Cracking_the_Coding_Interview/C13Java/questions/13.3-question.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking_the_Coding_Interview/C13Java/questions/13.3-question.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | 0-notes/job-search/Cracking_the_Coding_Interview/C13Java/questions/13.3-question.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | null | null | null | # 13.3 Final, etc.
# What is the difference between final, finally, and finalize?
| 20.75 | 62 | 0.722892 | # 13.3 Final, etc.
# What is the difference between final, finally, and finalize?
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1483feaffa2344f8974bb783e5a5cc7f062471a4 | 21,862 | py | Python | model/network_base.py | holyseven/TransferLearningClassification | 1426356195d79613b12c94ad8d6d0db576b09261 | [
"MIT"
] | 46 | 2018-06-02T07:50:04.000Z | 2022-02-02T01:25:32.000Z | model/network_base.py | holyseven/TransferLearningClassification | 1426356195d79613b12c94ad8d6d0db576b09261 | [
"MIT"
] | 3 | 2018-06-02T02:29:49.000Z | 2021-04-09T08:35:22.000Z | model/network_base.py | holyseven/TransferLearningClassification | 1426356195d79613b12c94ad8d6d0db576b09261 | [
"MIT"
] | 13 | 2018-06-07T04:30:14.000Z | 2020-04-07T03:10:40.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
| 48.367257 | 123 | 0.574467 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
class Network(object):
def __init__(self, num_classes, lrn_rate_placeholder, wd_rate_placeholder, wd_rate_placeholder2,
mode='train', initialize... | 0 | 0 | 0 | 21,684 | 0 | 0 | 0 | -1 | 68 |
f2bb6f29bad76920d58effde5ea59dffea89c10b | 453 | py | Python | every_election/apps/elections/migrations/0059_election_tags.py | DemocracyClub/EveryElection | da8a561cb4a84d9b432b1508a68f8cfada3d9515 | [
"BSD-3-Clause"
] | 8 | 2017-06-29T10:11:33.000Z | 2019-12-16T16:17:51.000Z | every_election/apps/elections/migrations/0059_election_tags.py | DemocracyClub/EveryElection | da8a561cb4a84d9b432b1508a68f8cfada3d9515 | [
"BSD-3-Clause"
] | 1,300 | 2017-01-08T14:02:24.000Z | 2022-03-31T09:11:30.000Z | every_election/apps/elections/migrations/0059_election_tags.py | DemocracyClub/EveryElection | da8a561cb4a84d9b432b1508a68f8cfada3d9515 | [
"BSD-3-Clause"
] | 11 | 2017-02-04T10:48:04.000Z | 2021-01-27T15:07:55.000Z | # Generated by Django 2.2.16 on 2021-02-13 12:11
| 22.65 | 79 | 0.631347 | # Generated by Django 2.2.16 on 2021-02-13 12:11
import django.contrib.postgres.fields.jsonb
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
("elections", "0058_set-gla-a-to-ballot"),
]
operations = [
migrations.AddField(
model_name="... | 0 | 0 | 0 | 302 | 0 | 0 | 0 | 33 | 68 |
24b4a562d2495e56240ee4ebd5af7cb54555475f | 462 | py | Python | tasks/migrations/0011_auto_20190206_1517.py | heolin123/funcrowd | 20167783de208394c09ed0429a5f02ec6dd79c42 | [
"MIT"
] | null | null | null | tasks/migrations/0011_auto_20190206_1517.py | heolin123/funcrowd | 20167783de208394c09ed0429a5f02ec6dd79c42 | [
"MIT"
] | 11 | 2019-11-12T23:26:45.000Z | 2021-06-10T17:37:23.000Z | tasks/migrations/0011_auto_20190206_1517.py | heolin123/funcrowd | 20167783de208394c09ed0429a5f02ec6dd79c42 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.8 on 2019-02-06 15:17
| 23.1 | 88 | 0.640693 | # Generated by Django 2.0.8 on 2019-02-06 15:17
import django.contrib.postgres.fields.jsonb
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('tasks', '0010_auto_20190203_2307'),
]
operations = [
migrations.AlterField(
model_name='docu... | 0 | 0 | 0 | 312 | 0 | 0 | 0 | 33 | 68 |
a65d0bfbcd7fe1b1c7d466a1a6d5fa4dc4c677e1 | 107 | py | Python | caption/models/taggers/__init__.py | Unbabel/caption | 90725dbf5bc3809e0364d20d0837c58968ceb2b1 | [
"MIT"
] | 3 | 2021-06-14T08:23:00.000Z | 2022-03-04T06:00:50.000Z | caption/models/taggers/__init__.py | Unbabel/caption | 90725dbf5bc3809e0364d20d0837c58968ceb2b1 | [
"MIT"
] | null | null | null | caption/models/taggers/__init__.py | Unbabel/caption | 90725dbf5bc3809e0364d20d0837c58968ceb2b1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .transformer_tagger import TransformerTagger
__all__ = ["TransformerTagger"]
| 21.4 | 49 | 0.738318 | # -*- coding: utf-8 -*-
from .transformer_tagger import TransformerTagger
__all__ = ["TransformerTagger"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
01471f25662c8c09d746637c982ccc8bc92d5b4f | 2,224 | py | Python | toollib/tcli/commands/_set_sshkey.py | atpuxiner/toollib | a895daeba49e64022a4a11a67a8b7b7a44cd2e0f | [
"MIT"
] | 113 | 2021-12-15T05:23:13.000Z | 2022-03-30T10:29:13.000Z | toollib/tcli/commands/_set_sshkey.py | atpuxiner/toollib | a895daeba49e64022a4a11a67a8b7b7a44cd2e0f | [
"MIT"
] | null | null | null | toollib/tcli/commands/_set_sshkey.py | atpuxiner/toollib | a895daeba49e64022a4a11a67a8b7b7a44cd2e0f | [
"MIT"
] | 3 | 2022-02-22T01:43:44.000Z | 2022-03-21T01:05:49.000Z | """
@author axiner
@version v1.0.0
@created 2022/5/4 9:17
@abstract
@description
@history
"""
| 31.771429 | 99 | 0.54946 | """
@author axiner
@version v1.0.0
@created 2022/5/4 9:17
@abstract
@description
@history
"""
import re
import sys
from pathlib import Path
from toollib import utils, regexp
from toollib.decorator import sys_required
from toollib.tcli import here
from toollib.tcli.base import BaseCmd
from toollib.tcli.option import Op... | 114 | 590 | 0 | 1,241 | 0 | 0 | 0 | 60 | 200 |
822a0ff8785eb0954163af374ff983ac9b7de2a1 | 2,575 | py | Python | jinete/models/vehicles.py | PhilippeGalvan/jinete | b7b22f8265935bc41b42ad8c4bf7464dc21ab424 | [
"MIT"
] | null | null | null | jinete/models/vehicles.py | PhilippeGalvan/jinete | b7b22f8265935bc41b42ad8c4bf7464dc21ab424 | [
"MIT"
] | null | null | null | jinete/models/vehicles.py | PhilippeGalvan/jinete | b7b22f8265935bc41b42ad8c4bf7464dc21ab424 | [
"MIT"
] | null | null | null | from __future__ import annotations
import logging
from typing import TYPE_CHECKING
if TYPE_CHECKING:
logger = logging.getLogger(__name__)
| 23.409091 | 108 | 0.623689 | from __future__ import annotations
import logging
from typing import TYPE_CHECKING
from .constants import (
MAX_FLOAT,
)
from .abc import (
Model,
)
from .services import (
Service,
)
if TYPE_CHECKING:
from typing import (
Set,
Any,
Dict,
Generator,
Tuple,
... | 0 | 678 | 0 | 1,436 | 0 | 0 | 0 | 153 | 165 |
114d1e7012c85fcfc862e1bd4047526600479af1 | 634 | py | Python | bapa/services/email.py | kelleydv/Bapa | ea19b8e878f608089553df132c32a25bf6183c9b | [
"MIT"
] | 5 | 2015-03-05T01:18:19.000Z | 2015-11-28T17:29:44.000Z | bapa/services/email.py | kelleydv/Bapa | ea19b8e878f608089553df132c32a25bf6183c9b | [
"MIT"
] | 26 | 2015-03-03T19:13:24.000Z | 2021-02-08T20:23:54.000Z | bapa/services/email.py | kelleydv/Bapa | ea19b8e878f608089553df132c32a25bf6183c9b | [
"MIT"
] | 1 | 2015-03-07T21:02:56.000Z | 2015-03-07T21:02:56.000Z | from bapa import app, mail
from flask_mail import Message
import os
def send_email(subject=None, body=None, recipients=None):
"""Send an email"""
msg = Message(
subject=subject,
body=body,
recipients=recipients
)
if app.config['TESTING']:
#no need to send an email
... | 24.384615 | 57 | 0.586751 | from bapa import app, mail
from flask_mail import Message
import os
def send_email(subject=None, body=None, recipients=None):
"""Send an email"""
msg = Message(
subject=subject,
body=body,
recipients=recipients
)
if app.config['TESTING']:
#no need to send an email
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c49a64e8be8eff82b186a76d2a5697110c34e258 | 3,151 | py | Python | PlotCircles.py | WalasekNicole/sensitive-periods-with-varying-cue-reliabilities | f9b2aefc7847c496bd15a14d3c4c804efe39c4c7 | [
"MIT"
] | null | null | null | PlotCircles.py | WalasekNicole/sensitive-periods-with-varying-cue-reliabilities | f9b2aefc7847c496bd15a14d3c4c804efe39c4c7 | [
"MIT"
] | null | null | null | PlotCircles.py | WalasekNicole/sensitive-periods-with-varying-cue-reliabilities | f9b2aefc7847c496bd15a14d3c4c804efe39c4c7 | [
"MIT"
] | 1 | 2020-01-23T15:07:41.000Z | 2020-01-23T15:07:41.000Z | def circles(x, y, s,ax, c='b',vmin=None, vmax=None, **kwargs):
"""
Make a scatter of circles plot of x vs y, where x and y are sequence
like objects of the same lengths. The size of circles are in data scale.
Parameters
----------
x,y : scalar or array_like, shape (n, )
Input data
... | 33.88172 | 79 | 0.62615 | def circles(x, y, s,ax, c='b',vmin=None, vmax=None, **kwargs):
"""
Make a scatter of circles plot of x vs y, where x and y are sequence
like objects of the same lengths. The size of circles are in data scale.
Parameters
----------
x,y : scalar or array_like, shape (n, )
Input data
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d074fc4545c591cadc37a37745a752306b7079e5 | 3,158 | py | Python | saltsdb/saltsdb.py | saltastro/saltsdb | dfb1413b100621ebc1cdd2d5bcbb27fa0db112a0 | [
"BSD-3-Clause"
] | null | null | null | saltsdb/saltsdb.py | saltastro/saltsdb | dfb1413b100621ebc1cdd2d5bcbb27fa0db112a0 | [
"BSD-3-Clause"
] | null | null | null | saltsdb/saltsdb.py | saltastro/saltsdb | dfb1413b100621ebc1cdd2d5bcbb27fa0db112a0 | [
"BSD-3-Clause"
] | 1 | 2018-01-09T14:06:58.000Z | 2018-01-09T14:06:58.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
__all__ = ['SALTSdb']
| 26.991453 | 75 | 0.552882 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import sqlalchemy
import pandas as pd
__all__ = ['SALTSdb']
class SALTSdb:
"""SALTSdb is an interface to the SALT mysql database and specifically
simplifies the steps of returning objects from a call to the database
Parameters
--... | 0 | 0 | 0 | 3,008 | 0 | 0 | 0 | -6 | 68 |
9fa05de1d647fc79ab33a7bc71bb2e90cc1ed122 | 1,043 | py | Python | pylark/api_service_task_comment_delete.py | chyroc/pylark | a54cce6b814935fd3c72668b262b54c8ee461484 | [
"Apache-2.0"
] | 7 | 2021-08-18T00:42:05.000Z | 2022-03-14T09:49:15.000Z | pylark/api_service_task_comment_delete.py | chyroc/pylark | a54cce6b814935fd3c72668b262b54c8ee461484 | [
"Apache-2.0"
] | null | null | null | pylark/api_service_task_comment_delete.py | chyroc/pylark | a54cce6b814935fd3c72668b262b54c8ee461484 | [
"Apache-2.0"
] | 1 | 2022-03-14T09:49:20.000Z | 2022-03-14T09:49:20.000Z | # Code generated by lark_sdk_gen. DO NOT EDIT.
| 28.972222 | 91 | 0.696069 | # Code generated by lark_sdk_gen. DO NOT EDIT.
from pylark.lark_request import RawRequestReq, _new_method_option
from pylark import lark_type, lark_type_sheet, lark_type_approval
import attr
import typing
import io
@attr.s
class DeleteTaskCommentReq(object):
task_id: str = attr.ib(
default="", metadata={... | 36 | 339 | 0 | 0 | 0 | 404 | 0 | 58 | 180 |
b5b32e30378a98abf08620431155a2602cc5a791 | 1,502 | py | Python | mzgtfs/fareattribute.py | andreyz/mapzen-gtfs | d445f1588ed10713eea9a1ca2878eef792121eca | [
"MIT"
] | 29 | 2015-06-08T00:49:52.000Z | 2021-09-25T21:46:53.000Z | mzgtfs/fareattribute.py | brennv/mapzen-gtfs | 886dc3a91fed13323f401d47a56ea713b8ed7807 | [
"MIT"
] | 12 | 2015-07-28T07:12:55.000Z | 2017-05-11T14:24:12.000Z | mzgtfs/fareattribute.py | brennv/mapzen-gtfs | 886dc3a91fed13323f401d47a56ea713b8ed7807 | [
"MIT"
] | 10 | 2015-07-28T06:57:51.000Z | 2021-01-05T05:56:27.000Z | """GTFS Fare Attributes.""" | 29.45098 | 87 | 0.679095 | """GTFS Fare Attributes."""
import datetime
import entity
import geom
import util
import widetime
import validation
class FareAttribute(entity.Entity):
KEY = 'fare_id'
REQUIRED = [
'fare_id',
'price',
'currency_type',
'payment_method',
'transfers',
]
OPTIONAL = [
'transfer_duration'
... | 0 | 0 | 0 | 1,363 | 0 | 0 | 0 | -44 | 156 |
82a9cad54da00ce922e974b057347a4ca86d60f4 | 459 | py | Python | src/api/__init__.py | petr/spd | 6fa8157026fec5926c00ccb1cc7091d4b541d914 | [
"MIT"
] | null | null | null | src/api/__init__.py | petr/spd | 6fa8157026fec5926c00ccb1cc7091d4b541d914 | [
"MIT"
] | null | null | null | src/api/__init__.py | petr/spd | 6fa8157026fec5926c00ccb1cc7091d4b541d914 | [
"MIT"
] | null | null | null | """
This module contains the full api workflow od the project sex partners
It has the following methods
* Upload an image to server and returns task id
* Method for processing this task
#/image_put
curl -F "image=@fixtures/members-301f4eab458270d4ad75856b9c7962de.jpg" http://127.0.0.1:8000/api/image_put/
#/task/... | 16.392857 | 107 | 0.712418 | """
This module contains the full api workflow od the project sex partners
It has the following methods
* Upload an image to server and returns task id
* Method for processing this task
#/image_put
curl -F "image=@fixtures/members-301f4eab458270d4ad75856b9c7962de.jpg" http://127.0.0.1:8000/api/image_put/
#/task/... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
53d42695123c2326facf4f279256b1c384089fd3 | 78,742 | py | Python | pypeit/metadata.py | rcooke-ast/PYPIT | 0cb9c4cb422736b855065a35aefc2bdba6d51dd0 | [
"BSD-3-Clause"
] | null | null | null | pypeit/metadata.py | rcooke-ast/PYPIT | 0cb9c4cb422736b855065a35aefc2bdba6d51dd0 | [
"BSD-3-Clause"
] | null | null | null | pypeit/metadata.py | rcooke-ast/PYPIT | 0cb9c4cb422736b855065a35aefc2bdba6d51dd0 | [
"BSD-3-Clause"
] | null | null | null | """
Provides a class that handles the fits metadata required by PypeIt.
.. include common links, assuming primary doc root is up one directory
.. include:: ../include/links.rst
"""
import numpy as np
# TODO: Turn this into a DataContainer
# Initially tried to subclass this from astropy.table.Table, but that
# prove... | 42.817836 | 122 | 0.575411 | """
Provides a class that handles the fits metadata required by PypeIt.
.. include common links, assuming primary doc root is up one directory
.. include:: ../include/links.rst
"""
import os
import io
import string
from copy import deepcopy
import datetime
from IPython import embed
import numpy as np
import yaml
fr... | 0 | 224 | 0 | 76,529 | 0 | 0 | 0 | 97 | 421 |
8961a614cdd99fadc1742c84f3ac99d52f8069e6 | 1,565 | py | Python | cup_test/cup_exfile_test.py | liu0208xuan/CUP | 0e09b393673dacdd985c064cf03062b950a74179 | [
"Apache-2.0"
] | 900 | 2017-02-15T05:14:03.000Z | 2022-03-22T08:07:39.000Z | cup_test/cup_exfile_test.py | horsedongmin/CUP | 94398c7d94b2574db565c3e8d6dcfe2f3722f007 | [
"Apache-2.0"
] | 30 | 2017-02-24T05:16:15.000Z | 2021-08-04T02:03:12.000Z | cup_test/cup_exfile_test.py | horsedongmin/CUP | 94398c7d94b2574db565c3e8d6dcfe2f3722f007 | [
"Apache-2.0"
] | 185 | 2017-02-15T02:23:09.000Z | 2022-02-24T08:47:43.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma maguannan @mythmgn
:description:
"""
import os
import sys
_TOP = os.path.dirname(os.path.abspath(__file__)) + '/../'
sys.path.insert(0, _TOP)
from cup import err
from cup import exfile
from cup import unittest
LOCK_FILE = './.file_test.lock'... | 21.736111 | 70 | 0.672843 | #!/usr/bin/env python
# -*- coding: utf-8 -*
"""
:authors:
Guannan Ma maguannan @mythmgn
:description:
"""
import os
import sys
_TOP = os.path.dirname(os.path.abspath(__file__)) + '/../'
sys.path.insert(0, _TOP)
from cup import err
from cup import exfile
from cup import unittest
LOCK_FILE = './.file_test.lock'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c0f68f5509d55fc92014c907640fb7abec305d6f | 642 | py | Python | modulo_03/amazon.py | memsprop/2021_python_selenium | eb3de282b11933cb6886d4008fb1b557147afaae | [
"Unlicense"
] | null | null | null | modulo_03/amazon.py | memsprop/2021_python_selenium | eb3de282b11933cb6886d4008fb1b557147afaae | [
"Unlicense"
] | null | null | null | modulo_03/amazon.py | memsprop/2021_python_selenium | eb3de282b11933cb6886d4008fb1b557147afaae | [
"Unlicense"
] | null | null | null | from common.webdriver_factory import get_driver
driver = get_driver('chrome')
driver.implicitly_wait(10)
driver.get('https://www.amazon.com.mx/')
elements = driver.find_elements_by_xpath("//a")
print(f'Total of Elements with tag a = {len(elements)}')
for element in elements:
print(element.text)
head_childs = dr... | 29.181818 | 64 | 0.777259 | from common.webdriver_factory import get_driver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
driver = get_driver('chrome')
driver.implicitly_wait(10)
driver.get('https://www.amazon.com.mx/')
eleme... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 66 |
de61ae6681b30cb18f22d2743a2669421da9304a | 121 | py | Python | setup.py | damienlefebvre/Math199 | b47798b228d131f27c1083907c500f2eb272ac2c | [
"MIT"
] | null | null | null | setup.py | damienlefebvre/Math199 | b47798b228d131f27c1083907c500f2eb272ac2c | [
"MIT"
] | null | null | null | setup.py | damienlefebvre/Math199 | b47798b228d131f27c1083907c500f2eb272ac2c | [
"MIT"
] | null | null | null | from distutils.core import setup
from Cython.Build import cythonize
setup(ext_modules=cythonize("stock_pyx.pyx"))
| 20.166667 | 46 | 0.785124 | from distutils.core import setup
from Cython.Build import cythonize
setup(ext_modules=cythonize("stock_pyx.pyx"))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b6a6333e564d75efd33b60acb991671f08945e8d | 1,085 | py | Python | ml/test/multiple_tests.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 4 | 2016-12-17T20:06:10.000Z | 2021-11-19T04:45:29.000Z | ml/test/multiple_tests.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 11 | 2021-01-06T05:35:11.000Z | 2022-03-11T23:28:31.000Z | ml/test/multiple_tests.py | thorwhalen/ut | 353a4629c35a2cca76ef91a4d5209afe766433b4 | [
"MIT"
] | 3 | 2015-06-12T10:44:16.000Z | 2021-07-26T18:39:47.000Z | from sklearn.metrics import accuracy_score, f1_score
dflt_metrics = (
('accuracy', accuracy_score),
('f1', f1_score)
)
| 37.413793 | 91 | 0.590783 | from collections import defaultdict
from oto.models.scent import CentroidSmoothing
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, f1_score
import numpy as np
dflt_metrics = (
('accuracy', accuracy_score),
('f1', f1_score)
)
def gather_multiple_train_test_resu... | 0 | 0 | 0 | 0 | 0 | 778 | 0 | 67 | 111 |
c35e2b0429c91667ab58023527a5606d79349580 | 4,499 | py | Python | lab_3/scene3d.py | FeodorM/Computer-Graphics | d783c7cd73f6e31abdc272e3166dd2df361cf1bb | [
"MIT"
] | null | null | null | lab_3/scene3d.py | FeodorM/Computer-Graphics | d783c7cd73f6e31abdc272e3166dd2df361cf1bb | [
"MIT"
] | null | null | null | lab_3/scene3d.py | FeodorM/Computer-Graphics | d783c7cd73f6e31abdc272e3166dd2df361cf1bb | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
Scene3D()
| 40.9 | 130 | 0.582352 | import pygame
from pygame.locals import *
from lab_3.camera3d import Camera3D
from lab_3.model3d import Model3D
from util.events import is_quit_event
from lab_3.affine_transform import *
class Scene3D(Camera3D):
def __init__(self, *args, **kwargs):
super(Scene3D, self).__init__(*args, *kwargs)
s... | 0 | 0 | 0 | 4,244 | 0 | 0 | 0 | 55 | 156 |
76119297a3082dab63f7352f72b41980527609a3 | 4,627 | py | Python | v1/awsbuild/bao_spinner.py | badassops/ops-aws | 2e6b76e62e7b9edaa3ba43ff57df90b75c75aba7 | [
"BSD-3-Clause"
] | 2 | 2019-02-28T06:49:19.000Z | 2019-12-30T09:41:17.000Z | v1/awsbuild/bao_spinner.py | badassops/ops-aws | 2e6b76e62e7b9edaa3ba43ff57df90b75c75aba7 | [
"BSD-3-Clause"
] | null | null | null | v1/awsbuild/bao_spinner.py | badassops/ops-aws | 2e6b76e62e7b9edaa3ba43ff57df90b75c75aba7 | [
"BSD-3-Clause"
] | null | null | null | # vim:fileencoding=utf-8:noet
""" python method """
# Copyright (c) 2010 - 2019, Badassops LLC / Luc Suryo
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code ... | 38.239669 | 96 | 0.617895 | # vim:fileencoding=utf-8:noet
""" python method """
# Copyright (c) 2010 - 2019, © Badassops LLC / Luc Suryo
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code... | 14 | 0 | 0 | 2,031 | 0 | 0 | 0 | -31 | 112 |
336db18f7ac63c100a48f82001450cfd7d7e03cf | 688 | py | Python | main.py | Yamp/Lin-Kernighan | 88e3ef8c0f4ec91ba22a065466b2473725d86870 | [
"MIT"
] | 1 | 2021-07-24T02:50:52.000Z | 2021-07-24T02:50:52.000Z | main.py | Lin-Kernighan/Lin-Kernighan | 88e3ef8c0f4ec91ba22a065466b2473725d86870 | [
"MIT"
] | 5 | 2020-02-01T10:44:09.000Z | 2020-05-24T10:39:14.000Z | main.py | Yamp/Lin-Kernighan | 88e3ef8c0f4ec91ba22a065466b2473725d86870 | [
"MIT"
] | 1 | 2020-08-26T05:26:23.000Z | 2020-08-26T05:26:23.000Z | import faulthandler
import logging
from time import time
from lin_kernighan.algorithms.structures.matrix import adjacency_matrix
from lin_kernighan.algorithms.utils.generator import generator
from lin_kernighan.lkh_search import LKHSearch
if __name__ == '__main__':
size = 500
logging.basicConfig(format='%(asc... | 25.481481 | 79 | 0.674419 | import faulthandler
import logging
from time import time
from lin_kernighan.algorithms.structures.matrix import adjacency_matrix
from lin_kernighan.algorithms.utils.generator import generator
from lin_kernighan.lkh_search import LKHSearch
if __name__ == '__main__':
size = 500
logging.basicConfig(format='%(asc... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76b22186ea4555f4ebc758cbe4b32486dbef6ccd | 1,969 | py | Python | src/postprocessing/postprocessing.py | dsp-uga/team-ball | 0d4b4ffd21b7383d727354c66fa15fb6b7a2e779 | [
"MIT"
] | 1 | 2021-05-29T16:02:35.000Z | 2021-05-29T16:02:35.000Z | src/postprocessing/postprocessing.py | omid-s/neuron_finding_team-ball | 0d4b4ffd21b7383d727354c66fa15fb6b7a2e779 | [
"MIT"
] | null | null | null | src/postprocessing/postprocessing.py | omid-s/neuron_finding_team-ball | 0d4b4ffd21b7383d727354c66fa15fb6b7a2e779 | [
"MIT"
] | 3 | 2018-03-11T20:35:34.000Z | 2018-04-04T03:26:59.000Z | """"This file manages the postprocessing of the objects in the images"""
import numpy as np
import cv2
import json
def postProcess ( fileNames =None , theDic=None, output_file_name = "output.json" ):
"""
this function handels the postprocessing of values,
:param fileNames: if out put is written to files a... | 33.372881 | 174 | 0.643982 | """"This file manages the postprocessing of the objects in the images"""
import numpy as np
import cv2
import json
def postProcess ( fileNames =None , theDic=None, output_file_name = "output.json" ):
"""
this function handels the postprocessing of values,
:param fileNames: if out put is written to files a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0ab7979e8b81bd85652a7fbeb67fc1940846c537 | 9,272 | py | Python | lib/streamlit/cli.py | cclauss/streamlit | 232f040da0ec88512714ef0b512b558f7079d9a0 | [
"Apache-2.0"
] | 1 | 2021-08-25T02:49:23.000Z | 2021-08-25T02:49:23.000Z | lib/streamlit/cli.py | Mesica/streamlit | 9e486561ccca2e33ee57ca8f7341f52e929a7430 | [
"Apache-2.0"
] | null | null | null | lib/streamlit/cli.py | Mesica/streamlit | 9e486561ccca2e33ee57ca8f7341f52e929a7430 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 28.182371 | 85 | 0.68874 | # -*- coding: utf-8 -*-
# Copyright 2018-2019 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 0 | 4,006 | 0 | 0 | 0 | 1,002 | 0 | 15 | 477 |
08e4181de948f233776a0f937dd71cb7fa69e382 | 729 | py | Python | Advent of Code 2020/Day 6 - Custom Customs.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | Advent of Code 2020/Day 6 - Custom Customs.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null | Advent of Code 2020/Day 6 - Custom Customs.py | TecKnow/learning | 71d1ddf9d580027ecc62a067581da378a9e85f6d | [
"BSD-3-Clause"
] | null | null | null |
if __name__ == "__main__":
data = open("Day 6 Data.txt").read()
data = parse_data(data)
data = all_yes_in_group(data)
print(sum(len(x) for x in data))
| 28.038462 | 77 | 0.66118 | from typing import Iterable, Set
def parse_data(data: str) -> list[set[str]]:
data = data.split("\n\n")
data = [group.split() for group in data]
print(data)
data = [[set(person) for person in group] for group in data]
return data
def any_yes_in_group(groups: Iterable[Iterable[Set[str]]]) -> list... | 0 | 0 | 0 | 0 | 0 | 456 | 0 | 11 | 91 |
6f1505ad8d2b42dab59273567a81b5fd27b24b08 | 3,648 | py | Python | src/publishment_log_api.py | wnjustdoit/devops-py | 54dd722a577c4b3ecda45aa85c067130fd292ab9 | [
"Apache-2.0"
] | null | null | null | src/publishment_log_api.py | wnjustdoit/devops-py | 54dd722a577c4b3ecda45aa85c067130fd292ab9 | [
"Apache-2.0"
] | 6 | 2021-04-08T20:46:56.000Z | 2022-01-13T01:52:06.000Z | src/publishment_log_api.py | wnjustdoit/devops-py | 54dd722a577c4b3ecda45aa85c067130fd292ab9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
from flask import Blueprint
publishment_log_api = Blueprint('publishment_log_api', __name__)
app = publishment_log_api
#
#
| 35.076923 | 104 | 0.676261 | #!/usr/bin/python3
from flask import Blueprint, request, jsonify, make_response
from sqlalchemy import or_
import demjson
from datetime import timedelta, datetime
from .entities.publishment_log import PublishmentLog, PublishmentLogSchema
from .entities.entity import Session
publishment_log_api = Blueprint('publishme... | 48 | 2,469 | 0 | 0 | 0 | 668 | 0 | 118 | 224 |
367db37b555760269bd422dd3b19024d5d41a59e | 883 | py | Python | Ago-Dic-2021/castro-torres-maria-guadalupe/practica2/ejercicio-9-13.py | AnhellO/DAS_Sistemas | 07b4eca78357d02d225d570033d05748d91383e3 | [
"MIT"
] | 41 | 2017-09-26T09:36:32.000Z | 2022-03-19T18:05:25.000Z | Ago-Dic-2021/castro-torres-maria-guadalupe/practica2/ejercicio-9-13.py | AnhellO/DAS_Sistemas | 07b4eca78357d02d225d570033d05748d91383e3 | [
"MIT"
] | 67 | 2017-09-11T05:06:12.000Z | 2022-02-14T04:44:04.000Z | Ago-Dic-2021/castro-torres-maria-guadalupe/practica2/ejercicio-9-13.py | AnhellO/DAS_Sistemas | 07b4eca78357d02d225d570033d05748d91383e3 | [
"MIT"
] | 210 | 2017-09-01T00:10:08.000Z | 2022-03-19T18:05:12.000Z |
#Haga un dado de 6 caras y muestre los resultados de 10 tiradas.
d6 = Die()
results = []
for roll_num in range(10):
result = d6.roll_die()
results.append(result)
print("\n10 rollos de un dado de 6 caras:")
print(results)
#Haga un dado de 10 caras y muestre los resultados de 10 tiradas.
d10 = Die(sides=10)
r... | 22.075 | 65 | 0.684032 | from random import randint
class Die():
def __init__(self, sides=6):
self.sides = sides
def roll_die(self):
return randint(1, self.sides)
#Haga un dado de 6 caras y muestre los resultados de 10 tiradas.
d6 = Die()
results = []
for roll_num in range(10):
result = d6.roll_die()
result... | 0 | 0 | 0 | 115 | 0 | 0 | 0 | 5 | 45 |
9d6a09b36eabe05c92c94b7622a4cf01a9379245 | 7,537 | py | Python | settings/base.py | seanbradley/Simpletown | d14dffba5030b574be3e01f8792a97ec0c049df4 | [
"Apache-2.0"
] | 3 | 2015-10-23T13:00:02.000Z | 2020-02-08T11:04:53.000Z | settings/base.py | seanbradley/Simpletown | d14dffba5030b574be3e01f8792a97ec0c049df4 | [
"Apache-2.0"
] | null | null | null | settings/base.py | seanbradley/Simpletown | d14dffba5030b574be3e01f8792a97ec0c049df4 | [
"Apache-2.0"
] | null | null | null | # DJANGO BASE SETTINGS
import os
from os import environ
from os.path import basename
from unipath import Path
########## PATH CONFIGURATION
PROJECT_DIR = Path(__file__).ancestor(2)
MEDIA_ROOT = PROJECT_DIR.child("media")
STATIC_ROOT = PROJECT_DIR.child("static")
STATICFILES_DIRS = (
PROJECT_DIR.child("styles"),
... | 31.404167 | 117 | 0.69789 | # DJANGO BASE SETTINGS
import os, sys
from os import environ
from os.path import basename
from unipath import Path
########## PATH CONFIGURATION
PROJECT_DIR = Path(__file__).ancestor(2)
MEDIA_ROOT = PROJECT_DIR.child("media")
STATIC_ROOT = PROJECT_DIR.child("static")
STATICFILES_DIRS = (
PROJECT_DIR.child("style... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 |
6aa290c0076da15ca0764ac7f9ebdca3b87a8188 | 1,001 | py | Python | tests/repository/test_determine_repo_dir_finds_existing_cookiecutter.py | bradleypmartin/cookiecutter | 6540d2ad3b0ee3c30d9655171ef59b18d22ab0ed | [
"BSD-3-Clause"
] | 1 | 2021-12-12T12:38:28.000Z | 2021-12-12T12:38:28.000Z | tests/repository/test_determine_repo_dir_finds_existing_cookiecutter.py | bradleypmartin/cookiecutter | 6540d2ad3b0ee3c30d9655171ef59b18d22ab0ed | [
"BSD-3-Clause"
] | 1 | 2019-05-16T15:45:18.000Z | 2019-05-16T15:45:18.000Z | tests/repository/test_determine_repo_dir_finds_existing_cookiecutter.py | bradleypmartin/cookiecutter | 6540d2ad3b0ee3c30d9655171ef59b18d22ab0ed | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests around detection whether cookiecutter templates are cached locally."""
| 23.833333 | 79 | 0.744256 | # -*- coding: utf-8 -*-
"""Tests around detection whether cookiecutter templates are cached locally."""
import io
import os
import pytest
from cookiecutter import repository
@pytest.fixture
def template():
return 'cookiecutter-pytest-plugin'
@pytest.fixture
def cloned_cookiecutter_path(user_config_data, tem... | 0 | 377 | 0 | 0 | 0 | 374 | 0 | -18 | 160 |
1ce81ae4c207ef9b43a665186c1864263af2fc92 | 787 | py | Python | src/leetcode/Coding_Interviews/construct_binary_tree.py | highing666/leaving | c121ee2f61e45472bb71e2770d0697e902279a64 | [
"MIT"
] | null | null | null | src/leetcode/Coding_Interviews/construct_binary_tree.py | highing666/leaving | c121ee2f61e45472bb71e2770d0697e902279a64 | [
"MIT"
] | null | null | null | src/leetcode/Coding_Interviews/construct_binary_tree.py | highing666/leaving | c121ee2f61e45472bb71e2770d0697e902279a64 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 25.387097 | 78 | 0.56798 | # -*- coding: utf-8 -*-
class TreeNode:
def __init__(self, x):
super().__init__()
self.val = x
self.left = None
self.right = None
class Solution:
def build_tree(self, preorder: List[int], inorder: List[int]) -> TreeNode:
temp_dic = dict(enumerate(inorder))
se... | 0 | 0 | 0 | 715 | 0 | 0 | 0 | 0 | 46 |
2c394234d26ea5e6fac9fa6bd05d0f5cbfa38813 | 1,299 | py | Python | suanfa/quick_sort.py | nciefeiniu/python-test | d81fcfff8cdec724c3010d6b7a77aabad7f90595 | [
"Apache-2.0"
] | null | null | null | suanfa/quick_sort.py | nciefeiniu/python-test | d81fcfff8cdec724c3010d6b7a77aabad7f90595 | [
"Apache-2.0"
] | null | null | null | suanfa/quick_sort.py | nciefeiniu/python-test | d81fcfff8cdec724c3010d6b7a77aabad7f90595 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
if __name__ == '__main__':
# lists = [2,9,5,9,4,7,1,5,4]
# quick_sort(lists,0, len(lists) - 1)
# print(lists)
lists2 = [1,1]
quick_sort2(lists2, 0, len(lists2) - 1)
print lists2 | 24.055556 | 65 | 0.538876 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
def quick_sort(array, left, rigth):
if left < rigth:
q = partition(array, left, rigth)
quick_sort(array, left, q - 1)
quick_sort(array, q + 1, rigth)
def partition(array, l, r):
x = array[r]
i = l - 1
for j in range(l, r):
if... | 0 | 0 | 0 | 0 | 0 | 956 | 0 | 0 | 92 |
cee81baa07bea28d1a6a883ec480a4c0db500333 | 1,702 | py | Python | chapter_8/entry2.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_8/entry2.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_8/entry2.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | "Entry"
'Laying Out Input Forms'
# Entry widgets are often used to get
# field values in form-like displays.
# combines labels, entries, and frames to
# achieve the multiple-input display
"""
use Entry widgets directly
lay out by rows with fixed-width labels: this and grid are best for forms
"""
from quitter import ... | 32.113208 | 89 | 0.648061 | "Entry"
'Laying Out Input Forms'
# Entry widgets are often used to get
# field values in form-like displays.
# combines labels, entries, and frames to
# achieve the multiple-input display
"""
use Entry widgets directly
lay out by rows with fixed-width labels: this and grid are best for forms
"""
from tkinter import... | 3 | 0 | 0 | 0 | 0 | 535 | 0 | 0 | 69 |
2de5e47c6f2b0d5cac6777773e978fdad38c3dd3 | 3,497 | py | Python | EtaPyScripts/getHistory.py | kd2eom/shuttletracker | d900055a78fd798f5375bed428cdd68843f5d5c7 | [
"MIT"
] | null | null | null | EtaPyScripts/getHistory.py | kd2eom/shuttletracker | d900055a78fd798f5375bed428cdd68843f5d5c7 | [
"MIT"
] | null | null | null | EtaPyScripts/getHistory.py | kd2eom/shuttletracker | d900055a78fd798f5375bed428cdd68843f5d5c7 | [
"MIT"
] | null | null | null | import datetime as dt
MAX_TIME_DIFFERENCE_MIN = 10
# function to open the JSON history file
# function to load the history data from the JSON
def time_in_range(start, end, x):
"""Return true if x is in the range [start, end]"""
if start <= end:
return start <= x <= end
else:
... | 38.855556 | 128 | 0.612239 | import urllib.request
import datetime as dt
import json
MAX_TIME_DIFFERENCE_MIN = 10
# function to open the JSON history file
def response(url):
return urllib.request.urlopen(url)
# function to load the history data from the JSON
def loadJSON(response):
return json.loads(response.read())
def t... | 0 | 0 | 0 | 0 | 0 | 2,274 | 0 | -10 | 117 |
b78bd21e6375a02ca53c446bd963eae360bfd98a | 2,245 | py | Python | scripts/delay_metrics.py | welvin21/pysimt | 6250b33dc518b3195da4fc9cc8d32ba7ada958c0 | [
"MIT"
] | 34 | 2020-09-21T10:49:57.000Z | 2022-01-08T04:50:42.000Z | scripts/delay_metrics.py | welvin21/pysimt | 6250b33dc518b3195da4fc9cc8d32ba7ada958c0 | [
"MIT"
] | 2 | 2021-01-08T03:52:51.000Z | 2021-09-10T07:45:05.000Z | scripts/delay_metrics.py | welvin21/pysimt | 6250b33dc518b3195da4fc9cc8d32ba7ada958c0 | [
"MIT"
] | 5 | 2021-04-23T09:30:51.000Z | 2022-01-09T08:40:45.000Z | #!/usr/bin/env python
import os
import sys
from pathlib import Path
import tabulate
import sacrebleu
from pysimt.metrics.simnmt import AVPScorer, AVLScorer
"""This script should be run from within the parent folder where each pysimt
experiment resides."""
if __name__ == '__main__':
results = {}
trglang ... | 30.337838 | 101 | 0.622717 | #!/usr/bin/env python
import os
import sys
from pathlib import Path
import tabulate
import sacrebleu
from pysimt.metrics.simnmt import AVPScorer, AVLScorer
"""This script should be run from within the parent folder where each pysimt
experiment resides."""
def read_lines_from_file(fname):
lines = []
with ... | 0 | 0 | 0 | 0 | 0 | 132 | 0 | 0 | 23 |
24bfe0be0e8ee1aed884f49c89556868a8cc6a13 | 1,456 | py | Python | API/urls.py | AnonC0DER/JobSearch | f7de8cc36011bf9e7494339c437da5596e745381 | [
"Apache-2.0"
] | null | null | null | API/urls.py | AnonC0DER/JobSearch | f7de8cc36011bf9e7494339c437da5596e745381 | [
"Apache-2.0"
] | null | null | null | API/urls.py | AnonC0DER/JobSearch | f7de8cc36011bf9e7494339c437da5596e745381 | [
"Apache-2.0"
] | null | null | null | from django.urls import path, include
from rest_framework.schemas import get_schema_view
from rest_framework.documentation import include_docs_urls
from API import views
urlpatterns = [
path('', views.AllMethods.as_view(), name='all-methods'),
path('docs/', include_docs_urls(title='JobSearch-docs')),
path... | 50.206897 | 89 | 0.686126 | from django.urls import path, include
from rest_framework.schemas import get_schema_view
from rest_framework.documentation import include_docs_urls
from API import views
urlpatterns = [
path('', views.AllMethods.as_view(), name='all-methods'),
path('docs/', include_docs_urls(title='JobSearch-docs')),
path... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d2daa7ae70bee818986e98aee0fb44ecc814683b | 1,755 | py | Python | source/_cookbook/adaptive-steps.py | danielballan/docs | c6743c92769f76762a29d3fa4684a2dcbbfc6e4f | [
"BSD-2-Clause"
] | null | null | null | source/_cookbook/adaptive-steps.py | danielballan/docs | c6743c92769f76762a29d3fa4684a2dcbbfc6e4f | [
"BSD-2-Clause"
] | null | null | null | source/_cookbook/adaptive-steps.py | danielballan/docs | c6743c92769f76762a29d3fa4684a2dcbbfc6e4f | [
"BSD-2-Clause"
] | null | null | null | """
Use scans with adaptive step sizes
**********************************
Problem
=======
Concentrate measurement in regions of high variability, taking larger strides
through flat regions.
Approach
========
The *plans* in bluesky can be fully adaptive, determining one step at a time.
A couple built-in plans provid... | 30.789474 | 79 | 0.658689 | """
Use scans with adaptive step sizes
**********************************
Problem
=======
Concentrate measurement in regions of high variability, taking larger strides
through flat regions.
Approach
========
The *plans* in bluesky can be fully adaptive, determining one step at a time.
A couple built-in plans provid... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4dea91b9cd779b6f10ca196f05d5324b9b5207f4 | 831 | py | Python | omin/tests/test_core.py | dmpio/omin | bedb36eafe681401c11d562f8d7117aad3d758d7 | [
"Unlicense"
] | null | null | null | omin/tests/test_core.py | dmpio/omin | bedb36eafe681401c11d562f8d7117aad3d758d7 | [
"Unlicense"
] | null | null | null | omin/tests/test_core.py | dmpio/omin | bedb36eafe681401c11d562f8d7117aad3d758d7 | [
"Unlicense"
] | 1 | 2021-12-29T16:55:05.000Z | 2021-12-29T16:55:05.000Z |
import os
from glob import glob
here = os.getcwd()
example_data_dir = os.path.join(os.path.split(here)[0], "example_data", "_data")
# print(glob(example_data_dir+"/*"))
mcd_def_malonylation_file_list = os.path.join(example_data_dir, "mcd_def_malonylation", "*")
mcd_def_malonylation_file_list = glob(mcd_def_malon... | 25.96875 | 92 | 0.777377 |
import os
from glob import glob
from ..core import containers
from ..core import handles
here = os.getcwd()
example_data_dir = os.path.join(os.path.split(here)[0], "example_data", "_data")
# print(glob(example_data_dir+"/*"))
mcd_def_malonylation_file_list = os.path.join(example_data_dir, "mcd_def_malonylation",... | 0 | 0 | 0 | 0 | 0 | 363 | 0 | 13 | 114 |
bd697495975dc88f527e2bc1be0af1d792673636 | 8,238 | py | Python | scripts/sorno_amazon_reviews_scrape.py | hermantai/sorno-py-scripts | 2d2d7e942a799161934f4338bfe12c2ff671ca58 | [
"Apache-2.0"
] | null | null | null | scripts/sorno_amazon_reviews_scrape.py | hermantai/sorno-py-scripts | 2d2d7e942a799161934f4338bfe12c2ff671ca58 | [
"Apache-2.0"
] | null | null | null | scripts/sorno_amazon_reviews_scrape.py | hermantai/sorno-py-scripts | 2d2d7e942a799161934f4338bfe12c2ff671ca58 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""A script to scrape Amazon product reviews from the web page.
Copyright 2014 Heung Ming Tai
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://... | 31.684615 | 180 | 0.617019 | #!/usr/bin/env python
"""A script to scrape Amazon product reviews from the web page.
Copyright 2014 Heung Ming Tai
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://... | 0 | 0 | 0 | 5,794 | 0 | 1,238 | 0 | -59 | 292 |
1a427c8ac3d169c181d0904d196f7f6c4144ad60 | 12,573 | py | Python | packages/main/src/RPA/Desktop/__init__.py | amisol/rpaframework | b1ee8a745a8e4d7bd41fa7765b26ab02b90cfb57 | [
"Apache-2.0"
] | 518 | 2020-05-29T11:39:34.000Z | 2022-03-31T22:04:08.000Z | packages/main/src/RPA/Desktop/__init__.py | amisol/rpaframework | b1ee8a745a8e4d7bd41fa7765b26ab02b90cfb57 | [
"Apache-2.0"
] | 316 | 2020-05-29T06:09:28.000Z | 2022-03-31T12:00:33.000Z | packages/main/src/RPA/Desktop/__init__.py | amisol/rpaframework | b1ee8a745a8e4d7bd41fa7765b26ab02b90cfb57 | [
"Apache-2.0"
] | 99 | 2020-05-27T20:23:54.000Z | 2022-03-26T02:57:35.000Z | import platform
import warnings
if platform.system() == "Windows":
# Configure comtypes to not generate DLL bindings into
# current environment, instead keeping them in memory.
# Slower, but prevents dirtying environments.
import comtypes.client
comtypes.client.gen_dir = None
# Ignore pywinau... | 35.516949 | 127 | 0.60447 | import logging
import platform
import sys
import warnings
if platform.system() == "Windows":
# Configure comtypes to not generate DLL bindings into
# current environment, instead keeping them in memory.
# Slower, but prevents dirtying environments.
import comtypes.client
comtypes.client.gen_dir = ... | 0 | 0 | 0 | 11,600 | 0 | 0 | 0 | 251 | 163 |
59b84ef4a9a48883be034dda7e131c71dfb4f73d | 2,857 | py | Python | pyavd/Models/Components/Payload.py | AVD-2021/PyAVD | a3a45d97199e80bf98560b08bcd09708c1a0513a | [
"Apache-2.0"
] | null | null | null | pyavd/Models/Components/Payload.py | AVD-2021/PyAVD | a3a45d97199e80bf98560b08bcd09708c1a0513a | [
"Apache-2.0"
] | null | null | null | pyavd/Models/Components/Payload.py | AVD-2021/PyAVD | a3a45d97199e80bf98560b08bcd09708c1a0513a | [
"Apache-2.0"
] | null | null | null |
'''
xcg of wing = 6.65m 5m
#xcg of horizontal tail = 13.5*m
#xcg of vertical tail = 13*
xcg of nose landing gear = 0.61m
xcg of main landing gear = 6.8m
#xcg of engine = 11
xcg of engine system = 11m
xcg of fuel system = 6m
xcg of flight control system = 1m
#xcg of hydraulic system = 10.5m
#xcg of pneumatic system =... | 28.858586 | 89 | 0.587679 | from gpkit import Model, Variable, Vectorize, VectorVariable, parse_variables, ureg as u
from gpkit.constraints.tight import Tight
import numpy as np
class Payload(Model):
"""Payload model
Variables
---------
M [kg] Total Payload mass
M_pax ... | 0 | 813 | 0 | 523 | 0 | 0 | 0 | 84 | 89 |
26971b88d5c88bf0fce43da725c168b76a99d8f6 | 924 | py | Python | b2style/b2plotstyle.py | anselm-baur/b2style | 8d1a49b8169c5bfdc4d74f7574b0ca24a11d530e | [
"MIT"
] | null | null | null | b2style/b2plotstyle.py | anselm-baur/b2style | 8d1a49b8169c5bfdc4d74f7574b0ca24a11d530e | [
"MIT"
] | null | null | null | b2style/b2plotstyle.py | anselm-baur/b2style | 8d1a49b8169c5bfdc4d74f7574b0ca24a11d530e | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
def set_default_plot_params():
"""
Sets default parameters in the matplotlibrc.
:return: None
"""
xtick = {
'top': True,
'minor.visible': True,
'direction': 'in',
'labelsize': 10
}
ytick = {
'right': True,
'min... | 20.533333 | 48 | 0.488095 | import matplotlib.pyplot as plt
def set_default_plot_params():
"""
Sets default parameters in the matplotlibrc.
:return: None
"""
xtick = {
'top': True,
'minor.visible': True,
'direction': 'in',
'labelsize': 10
}
ytick = {
'right': True,
'min... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
623cc4a88cf805a2be9181a128ec45d41da45e39 | 746 | py | Python | camera/camera-test.py | Mejdi-Thabet/streo-measurment-vision | 8fa55dbcb40c24c0d80bc062fc88f5abca3afdd1 | [
"MIT"
] | null | null | null | camera/camera-test.py | Mejdi-Thabet/streo-measurment-vision | 8fa55dbcb40c24c0d80bc062fc88f5abca3afdd1 | [
"MIT"
] | null | null | null | camera/camera-test.py | Mejdi-Thabet/streo-measurment-vision | 8fa55dbcb40c24c0d80bc062fc88f5abca3afdd1 | [
"MIT"
] | null | null | null | import cv2 # import OpenCv lib
cap = cv2.VideoCapture(0) # create cap object
# set the format into MJPG in the FourCC format
# cap.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc('M','J','P','G'))
cap.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc('J','P','E','G'))
if not cap.isOp... | 39.263158 | 82 | 0.563003 | import cv2 # import OpenCv lib
cap = cv2.VideoCapture(0) # create cap object
# set the format into MJPG in the FourCC format
# cap.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc('M','J','P','G'))
cap.set(cv2.CAP_PROP_FOURCC,cv2.VideoWriter_fourcc('J','P','E','G'))
if not cap.isOp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8daaf49581c6c124d1d1ca6059bbf42aec8dc61e | 760 | py | Python | final_project/machinetranslation/tests/tests.py | singhashwini12/xzceb-flask_eng_fr | ac5cac807078b4adfec65c4ff20287afe5658f81 | [
"Apache-2.0"
] | null | null | null | final_project/machinetranslation/tests/tests.py | singhashwini12/xzceb-flask_eng_fr | ac5cac807078b4adfec65c4ff20287afe5658f81 | [
"Apache-2.0"
] | null | null | null | final_project/machinetranslation/tests/tests.py | singhashwini12/xzceb-flask_eng_fr | ac5cac807078b4adfec65c4ff20287afe5658f81 | [
"Apache-2.0"
] | null | null | null | """
Module for unit tests for translations
"""
import unittest
if __name__=='__main__':
unittest.main()
| 29.230769 | 81 | 0.711842 | """
Module for unit tests for translations
"""
import unittest
from translator import french_to_english, english_to_french
class TranslationTest(unittest.TestCase):
"""This Class contains the unit tests for translations"""
def test_french_to_english(self):
"""This method tests the French to English ... | 0 | 0 | 0 | 566 | 0 | 0 | 0 | 38 | 46 |
acf3bb14a90d358bd06a4aeaf84395cbe98bf174 | 47 | py | Python | Parte1/Cap4/numbers.py | fabianoflorentino/python-CursoIntensivoDePython | 822288cc4b382936dde1bc647e3f8c2b925ced70 | [
"Apache-2.0"
] | null | null | null | Parte1/Cap4/numbers.py | fabianoflorentino/python-CursoIntensivoDePython | 822288cc4b382936dde1bc647e3f8c2b925ced70 | [
"Apache-2.0"
] | null | null | null | Parte1/Cap4/numbers.py | fabianoflorentino/python-CursoIntensivoDePython | 822288cc4b382936dde1bc647e3f8c2b925ced70 | [
"Apache-2.0"
] | 1 | 2020-02-05T13:07:08.000Z | 2020-02-05T13:07:08.000Z | for value in range(1,11):
print(str(value)) | 23.5 | 25 | 0.659574 | for value in range(1,11):
print(str(value)) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76f27aff2a93ba3677a16d1134cdc05204043038 | 852 | py | Python | day21/part02.py | Berteun/adventofcode2019 | 39fdd90073491cd698b1a310c789b577b305d314 | [
"MIT"
] | null | null | null | day21/part02.py | Berteun/adventofcode2019 | 39fdd90073491cd698b1a310c789b577b305d314 | [
"MIT"
] | null | null | null | day21/part02.py | Berteun/adventofcode2019 | 39fdd90073491cd698b1a310c789b577b305d314 | [
"MIT"
] | null | null | null | import sys
sys.path.append("..")
# The logic is as follows.
# If we would fall into a gap otherwise, we jump (NOT A T // OR T J)
# We jump early, that is a gap at B or C if we have an out, that is we can move to E or we can jump to H.
input_string = """\
OR B J
AND C J
NOT J J
AND D J
OR E T
OR H T
AND T J
NOT A T
OR ... | 20.285714 | 105 | 0.664319 | import operator
import sys
sys.path.append("..")
from collections import defaultdict, namedtuple
from intcode import IntCodeMachine, open_file
# The logic is as follows.
# If we would fall into a gap otherwise, we jump (NOT A T // OR T J)
# We jump early, that is a gap at B or C if we have an out, that is we can move ... | 0 | 0 | 0 | 0 | 0 | 263 | 0 | 44 | 135 |
197b93869990d0f3d97546f1dea1622b5635a527 | 448 | py | Python | Python Exercises/Mundo1/exercicio35.py | joaopblume/Curso-em-video-exercicios | d554c0c07c8d65b3a219d76fc487a78c11eaf874 | [
"MIT"
] | null | null | null | Python Exercises/Mundo1/exercicio35.py | joaopblume/Curso-em-video-exercicios | d554c0c07c8d65b3a219d76fc487a78c11eaf874 | [
"MIT"
] | null | null | null | Python Exercises/Mundo1/exercicio35.py | joaopblume/Curso-em-video-exercicios | d554c0c07c8d65b3a219d76fc487a78c11eaf874 | [
"MIT"
] | null | null | null | # Desenvolva um programa que leia o comprimento de trs retas e diga ao usurio se elas podem
# ou no formar um tringulo.
r1 = int(input('Valor do primeiro segmento: '))
r2 = int(input('Valor do segundo segmento: '))
r3 = int(input('Valor do terceiro segmento: '))
if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r1 + r2:
... | 37.333333 | 93 | 0.700893 | # Desenvolva um programa que leia o comprimento de três retas e diga ao usuário se elas podem
# ou não formar um triângulo.
r1 = int(input('Valor do primeiro segmento: '))
r2 = int(input('Valor do segundo segmento: '))
r3 = int(input('Valor do terceiro segmento: '))
if r1 < r2 + r3 and r2 < r1 + r3 and r3 < r1 + r2:
... | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
61a4af5829698981e3b9c360f342edf02730b98a | 415 | py | Python | helper.py | devnoaman/GIZ-pass-python | 49bcf3af21053a934959ca89f360a12b2c967820 | [
"MIT"
] | null | null | null | helper.py | devnoaman/GIZ-pass-python | 49bcf3af21053a934959ca89f360a12b2c967820 | [
"MIT"
] | null | null | null | helper.py | devnoaman/GIZ-pass-python | 49bcf3af21053a934959ca89f360a12b2c967820 | [
"MIT"
] | 1 | 2021-09-28T19:44:24.000Z | 2021-09-28T19:44:24.000Z |
name='Noaman Monther Mahmood'
job='Full-Stack Mobile Developer'
header= 'This Job is Done By'
desc='And it is one of the requirements to be accepted in th Full-Stack Development Bootcamp \nthat is implemented by Computiq and and GIZ Interview' | 41.5 | 149 | 0.643373 |
def printConsoleFotter():
print("\n\n\n-------------------------------------")
print('Give this job a 🚀\n\n')
print(header+'\n'+name+'\n'+job+'\n'+desc+'\n')
name='Noaman Monther Mahmood'
job='Full-Stack Mobile Developer'
header= 'This Job is Done By'
desc='And it is one of the requirements to be accepte... | 4 | 0 | 0 | 0 | 0 | 147 | 0 | 0 | 23 |
8c42367d2e5da1623ac19d6395db113c71f802ca | 2,166 | py | Python | tortuga_kits/ganglia_3_7_2/kit.py | UnivaCorporation/tortuga-kit-ganglia | af8f6b76c7548687177be27f2aec32c7a96b9325 | [
"Apache-2.0"
] | 3 | 2018-03-03T15:44:50.000Z | 2019-03-14T17:42:21.000Z | tortuga_kits/ganglia_3_7_2/kit.py | UnivaCorporation/tortuga-kit-ganglia | af8f6b76c7548687177be27f2aec32c7a96b9325 | [
"Apache-2.0"
] | null | null | null | tortuga_kits/ganglia_3_7_2/kit.py | UnivaCorporation/tortuga-kit-ganglia | af8f6b76c7548687177be27f2aec32c7a96b9325 | [
"Apache-2.0"
] | 3 | 2018-03-03T14:24:59.000Z | 2018-12-12T17:57:03.000Z | #!/usr/bin/env python
# Copyright 2008-2018 Univa Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 34.380952 | 74 | 0.66205 | #!/usr/bin/env python
# Copyright 2008-2018 Univa Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 0 | 0 | 0 | 1,365 | 0 | 0 | 0 | 57 | 135 |
3733083b91aea75ae2b9c0f4c328355efaeea6f4 | 5,569 | py | Python | JupyterNotebooks/DataLoading/preprocessing/images/convert_birdify_to_tfrecord.py | afarkasattila/Birdify2 | 3dcc373762a901f27cb9d5060785b75ff17b58a7 | [
"MIT"
] | null | null | null | JupyterNotebooks/DataLoading/preprocessing/images/convert_birdify_to_tfrecord.py | afarkasattila/Birdify2 | 3dcc373762a901f27cb9d5060785b75ff17b58a7 | [
"MIT"
] | null | null | null | JupyterNotebooks/DataLoading/preprocessing/images/convert_birdify_to_tfrecord.py | afarkasattila/Birdify2 | 3dcc373762a901f27cb9d5060785b75ff17b58a7 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .dataset_utils import image_to_tfexample
import sys
import tensorflow as tf
_IMAGE_SIZE = 224
_NUM_CHANNELS = 3
def _add_to_tfrecord(images, labels, num_images, tfrecord_writer):
"""
Loads data ... | 38.406897 | 123 | 0.661519 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .dataset_utils import image_to_tfexample
from json import dump
from numpy import arange, empty, array, empty_like
from numpy.random import shuffle
from os import walk
from PIL import Image
from six.moves im... | 0 | 0 | 0 | 0 | 0 | 4,054 | 0 | 45 | 247 |
9c7100ba70e063698a89485b827c82e2a9d0ab07 | 1,710 | py | Python | notas_de_clase/img/metodos/esquema_newton.py | AppliedMechanics-EAFIT/Mod_Temporal | 6a0506d906ed42b143b773777e8dc0da5af763eb | [
"MIT"
] | 5 | 2019-02-20T18:14:01.000Z | 2020-07-19T22:44:44.000Z | notas_de_clase/img/metodos/esquema_newton.py | AppliedMechanics-EAFIT/Mod_Temporal | 6a0506d906ed42b143b773777e8dc0da5af763eb | [
"MIT"
] | 3 | 2020-04-15T00:22:58.000Z | 2020-07-04T17:03:54.000Z | notas_de_clase/img/metodos/esquema_newton.py | AppliedMechanics-EAFIT/Mod_Temporal | 6a0506d906ed42b143b773777e8dc0da5af763eb | [
"MIT"
] | 3 | 2020-05-14T18:17:09.000Z | 2020-10-27T06:37:05.000Z | # -*- coding: utf-8 -*-
"""
Ilustra el mtodo de Newton-Raphson
@author: Nicolas Guarin-Zapata
"""
from __future__ import division, print_function
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["mathtext.fontset"] = "cm"
plt.rcParams["axes.spines.top"] = False
plt.rcParams["axes.spines.rig... | 30 | 79 | 0.605848 | # -*- coding: utf-8 -*-
"""
Ilustra el método de Newton-Raphson
@author: Nicolas Guarin-Zapata
"""
from __future__ import division, print_function
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["mathtext.fontset"] = "cm"
plt.rcParams["axes.spines.top"] = False
plt.rcParams["axes.spines.ri... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
adf5e0106200486694e07b437ba6cce25229450b | 580 | py | Python | DisguiseGenerator/yapfLib/main.py | oscarkarnalim/csd | cd62ce5e8a2d86ce5a5f73838738d90b68c98439 | [
"Apache-2.0"
] | 2 | 2020-11-19T22:31:57.000Z | 2020-11-20T02:30:14.000Z | STRANGETool/yapfLib/main.py | ShivaShirsath/strange | 8ea04100c79c77654c37394dea349dd60aac92d9 | [
"Apache-2.0"
] | 2 | 2022-01-01T19:50:55.000Z | 2022-01-04T10:51:36.000Z | STRANGETool/yapfLib/main.py | ShivaShirsath/strange | 8ea04100c79c77654c37394dea349dd60aac92d9 | [
"Apache-2.0"
] | 2 | 2021-10-19T12:27:48.000Z | 2022-01-04T09:20:19.000Z | from yapf.yapflib.yapf_api import FormatFile
import sys
# using yapf library taken from https://github.com/google/yapf/
# version v0.28.0
# take the source path
sourcePath = sys.argv[1]
# take the first argument as the filepath
# then update the targeted code with their format corrected.
# this function returns an arr... | 38.666667 | 84 | 0.782759 | from yapf.yapflib.yapf_api import FormatFile
import sys
# using yapf library taken from https://github.com/google/yapf/
# version v0.28.0
# take the source path
sourcePath = sys.argv[1]
# take the first argument as the filepath
# then update the targeted code with their format corrected.
# this function returns an arr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a3e1af84ab44a2a22acee03efc442791eaa6c38 | 9,044 | py | Python | src/opendr/perception/activity_recognition/cox3d/algorithm/pooling.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 217 | 2020-04-10T16:39:36.000Z | 2022-03-30T15:39:04.000Z | src/opendr/perception/activity_recognition/cox3d/algorithm/pooling.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 79 | 2021-06-23T10:40:10.000Z | 2021-12-16T07:59:42.000Z | src/opendr/perception/activity_recognition/cox3d/algorithm/pooling.py | makistsantekidis/opendr | 07dee3b59d3487b9c5a93d6946317178a02c9890 | [
"Apache-2.0"
] | 29 | 2021-12-16T09:26:13.000Z | 2022-03-29T15:19:18.000Z | """
Copyright (c) Lukas Hedegaard. All Rights Reserved.
Included in the OpenDR Toolit with permission from the author.
"""
from typing import Tuple, Union
import torch
from torch import Tensor
from torch.nn.modules.pooling import (AdaptiveAvgPool2d, AdaptiveMaxPool2d, AvgPool2d, MaxPool2d)
from logging import getLog... | 32.532374 | 109 | 0.613777 | """
Copyright (c) Lukas Hedegaard. All Rights Reserved.
Included in the OpenDR Toolit with permission from the author.
"""
from typing import Tuple, Union
import torch
from torch import Tensor
from torch.nn.modules.pooling import (
AdaptiveAvgPool1d,
AdaptiveAvgPool2d,
AdaptiveAvgPool3d,
AdaptiveMaxPo... | 0 | 0 | 0 | 4,368 | 0 | 2,621 | 0 | 160 | 142 |
23ceb4be40ab14b96763eb535badca57463b0253 | 8,099 | py | Python | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | 5 | 2021-03-17T00:33:53.000Z | 2022-03-07T18:16:25.000Z | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | null | null | null | summarise_results.py | MDBAuth/EWR_tool | 5b05cf276822d97a38a32a5fc031209224a04fb3 | [
"CC0-1.0"
] | 2 | 2022-01-14T03:50:10.000Z | 2022-02-14T00:45:56.000Z | import pandas as pd
import data_inputs, evaluate_EWRs
#--------------------------------------------------------------------------------------------------
def sum_events(events):
'''returns a sum of events'''
return int(round(events.sum(), 0))
def get_frequency(events):
'''Returns the frequency of years t... | 47.087209 | 118 | 0.548463 | import pandas as pd
import numpy as np
import data_inputs, evaluate_EWRs
#--------------------------------------------------------------------------------------------------
def sum_events(events):
'''returns a sum of events'''
return int(round(events.sum(), 0))
def get_frequency(events):
'''Returns the f... | 0 | 0 | 0 | 0 | 0 | 570 | 0 | -3 | 68 |
f247545caa576995f4dbbcab2062f6ee8bbeab4d | 849 | py | Python | ex070.py | felipesch92/PythonExercicios | 73edcbde6beaabcfc86af3dd6e58473f1eecabd3 | [
"MIT"
] | null | null | null | ex070.py | felipesch92/PythonExercicios | 73edcbde6beaabcfc86af3dd6e58473f1eecabd3 | [
"MIT"
] | null | null | null | ex070.py | felipesch92/PythonExercicios | 73edcbde6beaabcfc86af3dd6e58473f1eecabd3 | [
"MIT"
] | null | null | null | # Crie um programa que leia o nome e o preo de vrios produtos.
# O programa dever perguntar se o usurio vai continuar ou no. No final, mostre:
# A) qual o total gasto na compra.
# B) quantos produtos custam mais de R$1000.
# C) qual o nome do produto mais barato.
n = ''
p = 0
t = 0
c = 0
b_p = 0 # preo produto mais ... | 29.275862 | 82 | 0.59364 | # Crie um programa que leia o nome e o preço de vários produtos.
# O programa deverá perguntar se o usuário vai continuar ou não. No final, mostre:
# A) qual é o total gasto na compra.
# B) quantos produtos custam mais de R$1000.
# C) qual é o nome do produto mais barato.
n = ''
p = 0
t = 0
c = 0
b_p = 0 # preço produ... | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
302b08f7c01bb97345c6e836aa5a2613fe0bec05 | 1,123 | py | Python | libs/sdc_etl_libs/database_helpers/DatabaseFactory.py | darknegma/docker-airflow | 44e3d02d7ac43c8876145ae47acfbbbde67230df | [
"Apache-2.0"
] | null | null | null | libs/sdc_etl_libs/database_helpers/DatabaseFactory.py | darknegma/docker-airflow | 44e3d02d7ac43c8876145ae47acfbbbde67230df | [
"Apache-2.0"
] | 3 | 2021-03-31T19:26:57.000Z | 2021-12-13T20:33:01.000Z | libs/sdc_etl_libs/database_helpers/DatabaseFactory.py | darknegma/docker-airflow | 44e3d02d7ac43c8876145ae47acfbbbde67230df | [
"Apache-2.0"
] | null | null | null |
import os
import sys
import logging
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
logging.basicConfig(
format='%(levelname)s: %(asctime)s: '
'%(funcName)s: %(message)s')
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
| 35.09375 | 81 | 0.722173 |
import os
import sys
import logging
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
from sdc_etl_libs.database_helpers.SnowflakeDatabase import SnowflakeDatabase
from sdc_etl_libs.database_helpers.NexusDatabase import NexusDatabase
from sdc_etl_libs.database_helpers.MySqlDatabase import MySqlDatabase
from... | 0 | 494 | 0 | 9 | 0 | 0 | 0 | 212 | 138 |
9d2fd0de485396dcbbf68d054d38cd532366fff7 | 686 | py | Python | flow/delete_orphaned_datasets/code.py | dataiku/dss-code-samples | fceebfaf1c3fa0fefa5df4c5862b5befa386040f | [
"Apache-2.0"
] | 12 | 2018-05-21T18:05:55.000Z | 2021-10-29T23:40:28.000Z | flow/delete_orphaned_datasets/code.py | dataiku/dss-code-samples | fceebfaf1c3fa0fefa5df4c5862b5befa386040f | [
"Apache-2.0"
] | 12 | 2019-02-12T17:46:15.000Z | 2021-08-17T09:22:33.000Z | flow/delete_orphaned_datasets/code.py | dataiku/dss-code-samples | fceebfaf1c3fa0fefa5df4c5862b5befa386040f | [
"Apache-2.0"
] | 8 | 2018-09-06T17:40:18.000Z | 2022-02-28T02:28:34.000Z |
def delete_orphaned_datasets(client=None, project_key=None, drop_data=False, dry_run=True):
"""Delete datasets that are not linked to any recipe.
"""
prj = client.get_project(project_key)
flow = prj.get_flow()
graph = flow.get_graph()
cpt = 0
for name, props in graph.nodes.items():
... | 34.3 | 91 | 0.593294 | import dataiku
def delete_orphaned_datasets(client=None, project_key=None, drop_data=False, dry_run=True):
"""Delete datasets that are not linked to any recipe.
"""
prj = client.get_project(project_key)
flow = prj.get_flow()
graph = flow.get_graph()
cpt = 0
for name, props in graph.nodes.it... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -7 | 22 |
02c495ae19bd0973705888f46d3438af6a3fbc59 | 598 | py | Python | macOS/ss_rss_decode.py | enihsyou/dotfiles | 7805f496405fe1b5795a11cc9c3b7ebfc21f5302 | [
"MIT"
] | null | null | null | macOS/ss_rss_decode.py | enihsyou/dotfiles | 7805f496405fe1b5795a11cc9c3b7ebfc21f5302 | [
"MIT"
] | null | null | null | macOS/ss_rss_decode.py | enihsyou/dotfiles | 7805f496405fe1b5795a11cc9c3b7ebfc21f5302 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from urllib.request import urlopen
from urllib.parse import unquote
import base64
import re
n3ro_rss_link = input("N3RO SIP002 URIs: ").strip()
data = urlopen(n3ro_rss_link).read()
links = base64.b64decode(data).decode()
for link in links.splitlines():
matcher = re.match(r"ss://(.+)@(.+)#(.... | 29.9 | 63 | 0.635452 | #!/usr/bin/env python3
from urllib.request import urlopen
from urllib.parse import unquote
import base64
import re
n3ro_rss_link = input("N3RO SIP002 URIs: ").strip()
data = urlopen(n3ro_rss_link).read()
links = base64.b64decode(data).decode()
for link in links.splitlines():
matcher = re.match(r"ss://(.+)@(.+)#(.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
be5dba132045cad3c5008ecb5d5399651de45f89 | 5,482 | py | Python | Fib_It.py | TheScott463/NN_tools | 56fe08261827d6e28b4322ea464f4250bbfaac27 | [
"MIT"
] | null | null | null | Fib_It.py | TheScott463/NN_tools | 56fe08261827d6e28b4322ea464f4250bbfaac27 | [
"MIT"
] | null | null | null | Fib_It.py | TheScott463/NN_tools | 56fe08261827d6e28b4322ea464f4250bbfaac27 | [
"MIT"
] | null | null | null | from itertools import islice
from time import ctime
print(ctime())
print(""
"fibonacci algorithms.py")
print("Iterative positive and negative")
print(ctime())
print(ctime())
print("expected Output:")
print(
"-832040 514229 -317811 196418 -121393 75025 -46368 28657 -17711 "
"10946 -6765 4181 -2584 ... | 21.667984 | 114 | 0.579898 | import math
from itertools import islice
from time import ctime
print(ctime())
print(""
"fibonacci algorithms.py")
print("Iterative positive and negative")
print(ctime())
def fib(n, x=None):
if x is None:
x = [0, 1]
for i in range(abs(n) - 1):
x = [x[1], sum(x)]
return x[1] * ma... | 0 | 0 | 0 | 0 | 340 | 1,710 | 0 | -10 | 321 |
3c75fc14c1dbc3a08513e1f8a3cda194ef98c85d | 4,498 | py | Python | src/model_training/trainer.py | dishamehra/merlin-on-gcp | 6050b31689ecb585e2298a27300aa9bf9433e7cd | [
"Apache-2.0"
] | 2 | 2021-07-08T16:02:50.000Z | 2022-03-29T08:30:18.000Z | src/model_training/trainer.py | dishamehra/merlin-on-gcp | 6050b31689ecb585e2298a27300aa9bf9433e7cd | [
"Apache-2.0"
] | 1 | 2021-08-03T16:36:42.000Z | 2021-08-03T19:58:02.000Z | src/model_training/trainer.py | dishamehra/merlin-on-gcp | 6050b31689ecb585e2298a27300aa9bf9433e7cd | [
"Apache-2.0"
] | 7 | 2021-07-08T21:46:27.000Z | 2021-08-03T16:02:53.000Z | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 33.819549 | 92 | 0.724322 | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 0 | 0 | 0 | 0 | 0 | 3,374 | 0 | 130 | 292 |
2ee25cc12a87f3fa2f796eb4786dd982677dce46 | 797 | py | Python | ctf/Google-ctf/image-to-string.py | Sylhare/Flag | 8f056593466c8611fae0f5ed0d39c711f694f41b | [
"MIT"
] | null | null | null | ctf/Google-ctf/image-to-string.py | Sylhare/Flag | 8f056593466c8611fae0f5ed0d39c711f694f41b | [
"MIT"
] | 4 | 2019-02-06T16:08:56.000Z | 2019-03-17T20:12:50.000Z | ctf/Google-ctf/image-to-string.py | Sylhare/Flag | 8f056593466c8611fae0f5ed0d39c711f694f41b | [
"MIT"
] | null | null | null | import pytesseract
from PIL import Image
img = Image.open("flag.png")
text = pytesseract.image_to_string(img)
print(rot_encode(7)(text))
if __name__ == '__main__':
pass
| 24.151515 | 70 | 0.648683 | import pytesseract
from PIL import Image
img = Image.open("flag.png")
text = pytesseract.image_to_string(img)
def rot(*symbols):
def _rot(n):
encoded = ''.join(sy[n:] + sy[:n] for sy in symbols)
lookup = str.maketrans(''.join(symbols), encoded)
return lambda s: s.translate(lookup)
re... | 0 | 0 | 0 | 0 | 0 | 548 | 0 | 0 | 69 |
3e46954c165d1812f769952525be44965339574a | 5,180 | py | Python | script/compile_content.py | GameTechDev/gametechdev-site | 05a99f542a8ff57700e3df1f16afb16a6837ad75 | [
"MIT"
] | 1 | 2021-12-28T10:57:22.000Z | 2021-12-28T10:57:22.000Z | script/compile_content.py | GameTechDev/gametechdev-site | 05a99f542a8ff57700e3df1f16afb16a6837ad75 | [
"MIT"
] | null | null | null | script/compile_content.py | GameTechDev/gametechdev-site | 05a99f542a8ff57700e3df1f16afb16a6837ad75 | [
"MIT"
] | null | null | null | import json
import requests
import sys
from bs4 import BeautifulSoup
from os.path import exists
from os import mkdir, environ
if __name__ == '__main__':
reposUrl = ''
authToken = ''
if len(sys.argv) > 1:
reposUrl = sys.argv[1]
authToken = sys.argv[2]
else:
# an orgs' repo li... | 37.810219 | 119 | 0.528185 | import json
import requests
import sys
import yaml
from bs4 import BeautifulSoup
from os.path import exists
from os import mkdir, environ
def dump_json(output, data_to_save):
save = open(output, 'w')
json.dump(data_to_save, save)
save.close()
print('Saved json to', output)
def dump_yaml(output, data... | 0 | 0 | 0 | 0 | 0 | 260 | 0 | -10 | 68 |
01c7d781c8bc2ec107e76b32652f3677ea1f3046 | 2,927 | py | Python | enaml/wx/wx_application.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | 11 | 2015-03-14T14:30:51.000Z | 2022-03-15T13:01:44.000Z | enaml/wx/wx_application.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | 3 | 2015-01-31T11:12:56.000Z | 2022-03-14T00:53:25.000Z | enaml/wx/wx_application.py | pberkes/enaml | cbcbee929e3117dfe56c0b06dc2385acc832b0e8 | [
"BSD-3-Clause-Clear"
] | 4 | 2015-01-27T01:56:14.000Z | 2021-02-23T07:21:20.000Z | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------------------------------------------------... | 28.980198 | 79 | 0.546293 | #------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-------------------------------------------------... | 0 | 0 | 0 | 2,361 | 0 | 0 | 0 | 79 | 136 |
0b1a0b850c9213734b43e7e8487946f434190431 | 1,206 | py | Python | test/testings/platform.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | null | null | null | test/testings/platform.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | 25 | 2021-10-03T06:19:05.000Z | 2022-03-27T12:48:57.000Z | test/testings/platform.py | HansBug/hbutils | 6872311c8a441c5955572e0093b10189a2b90708 | [
"Apache-2.0"
] | null | null | null | import os
import platform
import pytest
_is_win = bool(os.environ.get('IS_WIN', None))
_is_macos = bool(os.environ.get('IS_MAC', None))
_is_linux = not _is_macos and not _is_win
windows_mark = pytest.mark.unittest if _is_win else pytest.mark.ignore
macos_mark = pytest.mark.unittest if _is_macos else pytest.mark.igno... | 37.6875 | 74 | 0.759536 | import os
import platform
import pytest
_is_win = bool(os.environ.get('IS_WIN', None))
_is_macos = bool(os.environ.get('IS_MAC', None))
_is_linux = not _is_macos and not _is_win
windows_mark = pytest.mark.unittest if _is_win else pytest.mark.ignore
macos_mark = pytest.mark.unittest if _is_macos else pytest.mark.igno... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a97a4190c7e21d95b9fda88952299aa6a1aae1f | 1,813 | py | Python | adventofcode2020/12.py | matslindh/codingchallenges | b6792808b03ea07304fda7e74c874c2c4d200dac | [
"MIT"
] | 2 | 2016-12-28T09:40:07.000Z | 2020-12-08T13:58:15.000Z | adventofcode2020/12.py | matslindh/codingchallenges | b6792808b03ea07304fda7e74c874c2c4d200dac | [
"MIT"
] | null | null | null | adventofcode2020/12.py | matslindh/codingchallenges | b6792808b03ea07304fda7e74c874c2c4d200dac | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
print(navigation_schmavigation([l.strip() for l in open('input/12')]))
print(navigation_schmavigation_2([l.strip() for l in open('input/12')]))
| 22.949367 | 88 | 0.447876 | def rotate(current, dir, num):
seq = ['E', 'S', 'W', 'N']
if dir == 'L':
seq.reverse()
num //= 90
return seq[(seq.index(current) + num) % len(seq)]
def navigation_schmavigation(instructions):
dir = 'E'
x, y = 0, 0
for instr in instructions:
inp = instr[0... | 0 | 0 | 0 | 0 | 0 | 1,515 | 0 | 0 | 114 |
510784fb3b0fea6c94638a9a31c35e3c758d9b66 | 3,638 | py | Python | align/cell_fabric/gen_magic.py | thesourcerer8/ALIGN-public | 2e061c719e15f5e4ffafde6b3bfdc1f5dbb45654 | [
"BSD-3-Clause"
] | 2 | 2020-12-15T11:16:23.000Z | 2021-05-10T08:08:34.000Z | align/cell_fabric/gen_magic.py | thesourcerer8/ALIGN-public | 2e061c719e15f5e4ffafde6b3bfdc1f5dbb45654 | [
"BSD-3-Clause"
] | 1 | 2020-08-26T08:01:53.000Z | 2020-08-29T04:24:00.000Z | align/cell_fabric/gen_magic.py | thesourcerer8/ALIGN-public | 2e061c719e15f5e4ffafde6b3bfdc1f5dbb45654 | [
"BSD-3-Clause"
] | 2 | 2020-08-15T07:09:52.000Z | 2020-08-16T10:19:58.000Z | #!/usr/bin/python
import logging
logger = logging.getLogger(__name__)
| 38.294737 | 170 | 0.575316 | #!/usr/bin/python
import re
import json
import datetime
from . import pdk
import logging
logger = logging.getLogger(__name__)
def translate_data( macro_name, exclude_pattern, pdkfile, pinSwitch, data, via_gen_tbl, timestamp=None):
j = pdk.Pdk().load(pdkfile)
with open(pdkfile, "rt") as fp1:
j1 = json.load(fp1)... | 0 | 0 | 0 | 0 | 0 | 3,466 | 0 | -32 | 134 |
b9c787700d0831ebd09156e925743799a1f8c4a0 | 1,256 | py | Python | src/posts/templatetags/posts_tags.py | pratik-devkota/notesewa | f93e8da43ce48aba43d86ed21861acf099b03f40 | [
"MIT"
] | null | null | null | src/posts/templatetags/posts_tags.py | pratik-devkota/notesewa | f93e8da43ce48aba43d86ed21861acf099b03f40 | [
"MIT"
] | null | null | null | src/posts/templatetags/posts_tags.py | pratik-devkota/notesewa | f93e8da43ce48aba43d86ed21861acf099b03f40 | [
"MIT"
] | 1 | 2021-04-12T12:12:23.000Z | 2021-04-12T12:12:23.000Z | """ File defining custom template tags for our project """
# Core Django imports
from django import template
# app-imports
# third-party imports
register = template.Library()
# template filters are registered the same as template tags
| 28.545455 | 75 | 0.735669 | """ File defining custom template tags for our project """
# Core Django imports
from django import template
from django.utils.safestring import mark_safe
# app-imports
from posts.models import Post
# third-party imports
import markdown
register = template.Library()
@register.simple_tag
def total_posts():
"""... | 0 | 855 | 0 | 0 | 0 | 0 | 0 | 26 | 134 |
9c684ca6bfbf0f62dc9afeed12f0225ec579b3a7 | 13,179 | py | Python | tests/models/test_gpu.py | djbyrne/pytorch-lightning | dab3b965cb9ceacc3f44aa2240b495d5996c6011 | [
"Apache-2.0"
] | null | null | null | tests/models/test_gpu.py | djbyrne/pytorch-lightning | dab3b965cb9ceacc3f44aa2240b495d5996c6011 | [
"Apache-2.0"
] | null | null | null | tests/models/test_gpu.py | djbyrne/pytorch-lightning | dab3b965cb9ceacc3f44aa2240b495d5996c6011 | [
"Apache-2.0"
] | null | null | null | import os
import pytest
import tests.base.utils as tutils
from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.core import memory
from tests.base import LightningTestModel
PRETEND_N_OF_GPUS = 16
def test_multi_gpu_model_ddp2(tmpdir):
"""Make sure ... | 32.9475 | 100 | 0.684574 | import os
import pytest
import torch
import tests.base.utils as tutils
from pytorch_lightning import Trainer
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.core import memory
from pytorch_lightning.trainer.distrib_parts import (
parse_gpu_ids,
determine_root_gpu_device,
)
from ... | 0 | 5,718 | 0 | 0 | 0 | 1,495 | 0 | 129 | 436 |
b975ce79701ed12694c8ee7194a12a5b3297a9db | 6,908 | py | Python | src/sage/tests/french_book/integration_doctest.py | bopopescu/sage | 2d495be78e0bdc7a0a635454290b27bb4f5f70f0 | [
"BSL-1.0"
] | 3 | 2019-07-15T13:48:24.000Z | 2019-11-08T12:31:43.000Z | src/sage/tests/french_book/integration_doctest.py | bopopescu/sage | 2d495be78e0bdc7a0a635454290b27bb4f5f70f0 | [
"BSL-1.0"
] | 2 | 2018-10-30T13:40:20.000Z | 2020-07-23T12:13:30.000Z | src/sage/tests/french_book/integration_doctest.py | bopopescu/sage | 2d495be78e0bdc7a0a635454290b27bb4f5f70f0 | [
"BSL-1.0"
] | 7 | 2021-11-08T10:01:59.000Z | 2022-03-03T11:25:52.000Z | ## -*- encoding: utf-8 -*-
"""
This file (./integration_doctest.sage) was *autogenerated* from ./integration.tex,
with sagetex.sty version 2011/05/27 v2.3.1.
It contains the contents of all the sageexample environments from this file.
You should be able to doctest this file with:
sage -t ./integration_doctest.sage
It i... | 31.257919 | 82 | 0.640562 | ## -*- encoding: utf-8 -*-
"""
This file (./integration_doctest.sage) was *autogenerated* from ./integration.tex,
with sagetex.sty version 2011/05/27 v2.3.1.
It contains the contents of all the sageexample environments from this file.
You should be able to doctest this file with:
sage -t ./integration_doctest.sage
It i... | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
625ef7eed497f262e56e5bba6003fd8511f923b6 | 2,568 | py | Python | apps/bookstore/migrations/0001_initial.py | goutomroy/django_select_prefetch_related | 489d7e058c6283b52c8b2690aaff0dfed93cfc07 | [
"Apache-2.0"
] | 17 | 2019-12-11T11:02:01.000Z | 2021-10-06T11:58:23.000Z | apps/bookstore/migrations/0001_initial.py | goutomroy/django_select_prefetch_related | 489d7e058c6283b52c8b2690aaff0dfed93cfc07 | [
"Apache-2.0"
] | 8 | 2019-12-04T23:09:42.000Z | 2021-06-10T17:45:57.000Z | apps/bookstore/migrations/0001_initial.py | goutomroy/django_select_prefetch_related | 489d7e058c6283b52c8b2690aaff0dfed93cfc07 | [
"Apache-2.0"
] | 7 | 2019-12-11T11:02:06.000Z | 2021-10-06T09:55:25.000Z | # Generated by Django 3.0.2 on 2020-07-21 00:58
| 40.125 | 148 | 0.593458 | # Generated by Django 3.0.2 on 2020-07-21 00:58
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 0 | 0 | 0 | 2,388 | 0 | 0 | 0 | 41 | 90 |
0f091f16a19a47d5d8e327b5b69ae8e7dc948189 | 114 | py | Python | multimeter/__init__.py | wowace/multimeter | 24eed9cd59819a27c110b10c637e14735b29710f | [
"MIT"
] | null | null | null | multimeter/__init__.py | wowace/multimeter | 24eed9cd59819a27c110b10c637e14735b29710f | [
"MIT"
] | 48 | 2018-03-02T14:57:01.000Z | 2020-02-13T10:08:12.000Z | multimeter/__init__.py | kafitimi/multimeter | 24eed9cd59819a27c110b10c637e14735b29710f | [
"MIT"
] | null | null | null | """ """
default_app_config = 'multimeter.apps.MultimeterConfig' # pylint: disable=invalid-name
| 28.5 | 87 | 0.763158 | """ Заголовок пакета """
default_app_config = 'multimeter.apps.MultimeterConfig' # pylint: disable=invalid-name
| 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1fa3a09416c6649076d6bef859c6fa35a7ef1972 | 2,256 | py | Python | C3CTF/2019 36C3/bacon/brute.py | PurpEth/solved-hacking-problem | 6f289d1647eb9c091caa580c7aae673e3ba02952 | [
"Unlicense"
] | 1 | 2021-08-24T22:16:41.000Z | 2021-08-24T22:16:41.000Z | C3CTF/2019 36C3/bacon/brute.py | PurpEth/solved-hacking-problem | 6f289d1647eb9c091caa580c7aae673e3ba02952 | [
"Unlicense"
] | null | null | null | C3CTF/2019 36C3/bacon/brute.py | PurpEth/solved-hacking-problem | 6f289d1647eb9c091caa580c7aae673e3ba02952 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import itertools
import sys
MASK = 0xffffff
# did I implement this correctly?
assert forward(*map(bytes.fromhex, ('1211100a0908020100',
'20796c6c6172'))) == b'\xc0\x49\xa5\x38\x5a\xdc'
if len(sys.argv) < 2:
print(f"Usage: python3 {sys.argv[0]} <hex>... | 26.541176 | 84 | 0.51906 | #!/usr/bin/env python3
import itertools
import sys
MASK = 0xffffff
def forward(key, blk):
assert tuple(map(len, (key, blk))) == (9, 6)
def S(j, v): return (v << j | (v & MASK) >> 24-j) & MASK
ws = blk[:3], blk[3:], key[:3], key[3:6], key[6:]
x, y, l1, l0, k0 = (int.from_bytes(w, 'big') for w in ws)
... | 0 | 0 | 0 | 0 | 0 | 1,231 | 0 | 0 | 69 |
ae68e1d05aa2cc50e49cb492dc00efe34def4ab5 | 879 | py | Python | day-7-finding-the-percentage.py | roshansinghbisht/hello-python | 595418a47e66217ed8759c91cdb535e8fa88412b | [
"MIT"
] | null | null | null | day-7-finding-the-percentage.py | roshansinghbisht/hello-python | 595418a47e66217ed8759c91cdb535e8fa88412b | [
"MIT"
] | null | null | null | day-7-finding-the-percentage.py | roshansinghbisht/hello-python | 595418a47e66217ed8759c91cdb535e8fa88412b | [
"MIT"
] | null | null | null | if __name__ == '__main__':
n = int(input())
student_marks = {}
for _ in range(n):
name, *line = input().split()
scores = list(map(float, line))
student_marks[name] = scores
query_name = input()
average = sum(student_marks[query_name])/ len(student_marks[query_name])
print... | 41.857143 | 76 | 0.701934 | if __name__ == '__main__':
n = int(input())
student_marks = {}
for _ in range(n):
name, *line = input().split()
scores = list(map(float, line))
student_marks[name] = scores
query_name = input()
average = sum(student_marks[query_name])/ len(student_marks[query_name])
print... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
30ed6383084d2cfbd8d6b41733e49f997dcaedcb | 96 | py | Python | venv/lib/python3.8/site-packages/past/types/basestring.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/past/types/basestring.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/past/types/basestring.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/aa/b2/26/72bdb8c2f74308cbc5f71d13cb1f12d650ade8623046fcee026be0fd38 | 96 | 96 | 0.895833 | /home/runner/.cache/pip/pool/aa/b2/26/72bdb8c2f74308cbc5f71d13cb1f12d650ade8623046fcee026be0fd38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8f4929cdba696e92236ff3ff30c4593997b2dc01 | 9,400 | py | Python | scripts/nasqm.py | PotentialParadox/pynasqm | 1bd51299b6ca7f8229d8a15428515d53a358903c | [
"MIT"
] | 1 | 2020-03-13T22:34:03.000Z | 2020-03-13T22:34:03.000Z | scripts/nasqm.py | PotentialParadox/pynasqm | 1bd51299b6ca7f8229d8a15428515d53a358903c | [
"MIT"
] | null | null | null | scripts/nasqm.py | PotentialParadox/pynasqm | 1bd51299b6ca7f8229d8a15428515d53a358903c | [
"MIT"
] | null | null | null | '''
Run NASQM
created by Dustin Tracy (dtracy.uf@gmail.com)
This program is used to automate NASQM job creations.
You'll find the parameters to change in the file nasqm_user_input.py
'''
import argparse
import time
from pynasqm.initialize import initialize
from pynasqm.write import (write_omega_vs_time, write_spectra_f... | 38.683128 | 98 | 0.738191 | '''
Run NASQM
created by Dustin Tracy (dtracy.uf@gmail.com)
This program is used to automate NASQM job creations.
You'll find the parameters to change in the file nasqm_user_input.py
'''
import argparse
import time
from pynasqm.initialize import initialize
from pynasqm.inputceon import InputCeon
from pynasqm.write impo... | 0 | 0 | 0 | 0 | 0 | 2,373 | 0 | 174 | 431 |
4a8b715fe771ab67480fb9b37145118295310381 | 224 | py | Python | run_gunicorn.py | SlideAtlas/SlideAtlas-Server | 3b9cbd56eaa29ae08ae521e75616ea230fe26397 | [
"Apache-2.0"
] | 3 | 2015-10-10T10:17:26.000Z | 2020-12-14T09:42:19.000Z | run_gunicorn.py | SlideAtlas/SlideAtlas-Server | 3b9cbd56eaa29ae08ae521e75616ea230fe26397 | [
"Apache-2.0"
] | 41 | 2015-02-03T19:47:28.000Z | 2017-02-06T23:24:26.000Z | run_gunicorn.py | SlideAtlas/SlideAtlas-Server | 3b9cbd56eaa29ae08ae521e75616ea230fe26397 | [
"Apache-2.0"
] | 2 | 2016-04-04T18:23:27.000Z | 2017-11-14T22:34:58.000Z | # coding=utf-8
# Development server
from slideatlas import create_app
app = create_app()
# app.run(host='0.0.0.0', port=8080)
if __name__ == "__main__":
print "To run:\ngunicorn run_gunicorn:app -b localhost:8080 -w 4" | 24.888889 | 69 | 0.714286 | # coding=utf-8
# Development server
from slideatlas import create_app
app = create_app()
# app.run(host='0.0.0.0', port=8080)
if __name__ == "__main__":
print "To run:\ngunicorn run_gunicorn:app -b localhost:8080 -w 4" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a8bf0c58483a2e21ccdf3815d73bbf19efd309c2 | 990 | py | Python | examples/608_plan_pick_trajectory.py | djprohasky/workshop_swinburne_2021 | 596eb12595ef7c2522dc8e03163e917ca43d2a0a | [
"MIT"
] | 4 | 2021-12-13T09:57:06.000Z | 2022-01-04T15:04:58.000Z | examples/608_plan_pick_trajectory.py | djprohasky/workshop_swinburne_2021 | 596eb12595ef7c2522dc8e03163e917ca43d2a0a | [
"MIT"
] | 3 | 2021-06-16T10:27:09.000Z | 2021-06-17T02:37:04.000Z | examples/608_plan_pick_trajectory.py | djprohasky/workshop_swinburne_2021 | 596eb12595ef7c2522dc8e03163e917ca43d2a0a | [
"MIT"
] | 3 | 2021-06-15T12:43:22.000Z | 2021-06-16T11:01:38.000Z | import os
import helpers
from compas_fab.backends import RosClient
from compas_fab.robots import PlanningScene
import compas
HERE = os.path.dirname(__file__)
MAX_STEP = 0.01
# Load assembly
filename = os.path.join(HERE, 'assembly.json')
assembly = compas.json_load(filename)
with RosClient() as client:
robot = ... | 28.285714 | 100 | 0.70202 | import os
import helpers
from compas_fab.backends import RosClient
from compas_fab.robots import PlanningScene
import compas
HERE = os.path.dirname(__file__)
MAX_STEP = 0.01
# Load assembly
filename = os.path.join(HERE, 'assembly.json')
assembly = compas.json_load(filename)
with RosClient() as client:
robot = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
48f81270935a674567f3e6de615f1bc99760148d | 2,009 | py | Python | src/doit/sanitizedtable/sqlalchemy/sqlmodel.py | khusmann/doit | 305c04bda1ccfc38c86b97e4360481af654827e7 | [
"MIT"
] | null | null | null | src/doit/sanitizedtable/sqlalchemy/sqlmodel.py | khusmann/doit | 305c04bda1ccfc38c86b97e4360481af654827e7 | [
"MIT"
] | null | null | null | src/doit/sanitizedtable/sqlalchemy/sqlmodel.py | khusmann/doit | 305c04bda1ccfc38c86b97e4360481af654827e7 | [
"MIT"
] | null | null | null | from __future__ import annotations
from ...common.sqlalchemy import (declarative_base)
Base = declarative_base() | 25.75641 | 75 | 0.683922 | from __future__ import annotations
import typing as t
import enum
from sqlalchemy import (
Column,
Integer,
String,
ForeignKey,
MetaData,
Table,
JSON,
)
from sqlalchemy.orm import (
relationship,
RelationshipProperty,
)
from ...common.sqlalchemy import (
declarative_base,
R... | 0 | 0 | 0 | 941 | 0 | 546 | 0 | 204 | 204 |
0edbcf145b35a1d7ce69dc123941f51b9137fada | 13,087 | py | Python | src/test/tinc/tincrepo/mpp/lib/gpdbSegmentConfig.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 9 | 2018-04-20T03:31:01.000Z | 2020-05-13T14:10:53.000Z | src/test/tinc/tincrepo/mpp/lib/gpdbSegmentConfig.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 36 | 2017-09-21T09:12:27.000Z | 2020-06-17T16:40:48.000Z | src/test/tinc/tincrepo/mpp/lib/gpdbSegmentConfig.py | rodel-talampas/gpdb | 9c955e350334abbd922102f289f782697eb52069 | [
"PostgreSQL",
"Apache-2.0"
] | 32 | 2017-08-31T12:50:52.000Z | 2022-03-01T07:34:53.000Z | #!/usr/bin/env python
# Line too long - pylint: disable=C0301
# Invalid name - pylint: disable=C0103
"""
Copyright (c) 2004-Present Pivotal Software, Inc.
This program and the accompanying materials are made available under
the terms of the under the Apache License, Version 2.0 (the "License");
you may not use this ... | 40.896875 | 358 | 0.593184 | #!/usr/bin/env python
# Line too long - pylint: disable=C0301
# Invalid name - pylint: disable=C0103
"""
Copyright (c) 2004-Present Pivotal Software, Inc.
This program and the accompanying materials are made available under
the terms of the under the Apache License, Version 2.0 (the "License");
you may not use this ... | 0 | 0 | 0 | 11,673 | 0 | 0 | 0 | 0 | 22 |
e8e874d1ba46c6302dbad010c653ee72b994c3aa | 1,851 | py | Python | main_PyBank.py | akshitarora19/Python | b097585bc075a693e159490bf1061f4efe36bc3f | [
"ADSL"
] | null | null | null | main_PyBank.py | akshitarora19/Python | b097585bc075a693e159490bf1061f4efe36bc3f | [
"ADSL"
] | null | null | null | main_PyBank.py | akshitarora19/Python | b097585bc075a693e159490bf1061f4efe36bc3f | [
"ADSL"
] | null | null | null | import os
import csv
total_months=0
total=0
last_pl=0
average_change=0
change_in_pl=0
total_change=0
ginc_profits=0
gdec_profits=0
prev_change_in_pl=0
ginc_profits_month=""
gdec_profits_month=""
csvpath=os.path.join("..", "Resources", "budget_data.csv")
with open (csvpath, newline="") as csvfile:
csvreader=... | 30.85 | 92 | 0.647218 | import os
import csv
total_months=0
total=0
last_pl=0
average_change=0
change_in_pl=0
total_change=0
ginc_profits=0
gdec_profits=0
prev_change_in_pl=0
ginc_profits_month=""
gdec_profits_month=""
csvpath=os.path.join("..", "Resources", "budget_data.csv")
with open (csvpath, newline="") as csvfile:
csvreader=... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
124e9b1791f943c162075aa54d54f6b877b4680c | 15,562 | py | Python | applications/ATOM/utils/gather_atom_metrics.py | jonesholger/lbann | 3214f189a1438565d695542e076c4fa8e7332d34 | [
"Apache-2.0"
] | 194 | 2016-07-19T15:40:21.000Z | 2022-03-19T08:06:10.000Z | applications/ATOM/utils/gather_atom_metrics.py | jonesholger/lbann | 3214f189a1438565d695542e076c4fa8e7332d34 | [
"Apache-2.0"
] | 1,021 | 2016-07-19T12:56:31.000Z | 2022-03-29T00:41:47.000Z | applications/ATOM/utils/gather_atom_metrics.py | jonesholger/lbann | 3214f189a1438565d695542e076c4fa8e7332d34 | [
"Apache-2.0"
] | 74 | 2016-07-28T18:24:00.000Z | 2022-01-24T19:41:04.000Z | import sys
import re
#tag = sys.argv[len(sys.argv)-1]
#for each log file
for num in range(len(sys.argv)-1):
inp = sys.argv[num+1]
print('################################################################################')
print("File#", num , " ", inp)
print('###################################################... | 48.479751 | 133 | 0.569528 | import sys
import numpy as np
import re
#tag = sys.argv[len(sys.argv)-1]
def summarize_metrics(trainer_metrics):
total_time = 0
total_train_time = 0
results = {}
partial_results = {}
total_train_times = []
total_train_times_not_first_epoch = []
# For each epoch, gather data from all trainers
for e, da... | 0 | 0 | 0 | 0 | 0 | 8,844 | 0 | -3 | 68 |
988a098972dbe06fa08dd88ea86938c07dd60dfc | 1,167 | py | Python | scripts/compare_stemmers.py | tklovett/MaudeMiner | ba73f5dd99331c233fede9ccab1a2b1d5b430324 | [
"MIT"
] | 3 | 2015-09-10T09:07:36.000Z | 2020-12-01T22:17:06.000Z | scripts/compare_stemmers.py | tklovett/MaudeMiner | ba73f5dd99331c233fede9ccab1a2b1d5b430324 | [
"MIT"
] | null | null | null | scripts/compare_stemmers.py | tklovett/MaudeMiner | ba73f5dd99331c233fede9ccab1a2b1d5b430324 | [
"MIT"
] | null | null | null | import nltk
lines = []
with open("foitext.txt", 'r') as f:
for line in f:
lines.append(strip_non_ascii(line))
narratives = [x[x.rfind('|')+1:].strip() for x in lines]
tokens_list = [nltk.wordpunct_tokenize(x) for x in narratives]
# pos_list = [nltk.pos_tag(x) for x in tokens_list]
tokens = []
for x in tokens_list... | 23.34 | 67 | 0.700943 | import nltk
def strip_non_ascii(s):
return "".join(i for i in s if ord(i) < 128)
lines = []
with open("foitext.txt", 'r') as f:
for line in f:
lines.append(strip_non_ascii(line))
narratives = [x[x.rfind('|')+1:].strip() for x in lines]
tokens_list = [nltk.wordpunct_tokenize(x) for x in narratives]
# pos_list = [... | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 23 |
b48daa89ced5699a98cab00df5229ec5b86c586c | 6,083 | py | Python | neuralnetworks/classifiers/las_model.py | v0lta/tfkaldi | 4772e881cc168439723c19f69a2425588f661060 | [
"MIT"
] | 57 | 2017-01-19T15:58:46.000Z | 2021-01-12T17:57:31.000Z | neuralnetworks/classifiers/las_model.py | v0lta/tfkaldi | 4772e881cc168439723c19f69a2425588f661060 | [
"MIT"
] | null | null | null | neuralnetworks/classifiers/las_model.py | v0lta/tfkaldi | 4772e881cc168439723c19f69a2425588f661060 | [
"MIT"
] | 15 | 2017-02-25T17:44:35.000Z | 2019-09-23T14:03:18.000Z | '''
This module implements a listen attend and spell classifier.
'''
from __future__ import absolute_import, division, print_function
from IPython.core.debugger import Tracer; debug_here = Tracer();
| 41.380952 | 88 | 0.595594 | '''
This module implements a listen attend and spell classifier.
'''
from __future__ import absolute_import, division, print_function
import tensorflow as tf
from neuralnetworks.classifiers.classifier import Classifier
from neuralnetworks.las_elements import Listener
from neuralnetworks.beam_search_speller import Beam... | 0 | 625 | 0 | 5,034 | 0 | 0 | 0 | 111 | 112 |
997f596b808ddac161e32183631001799a8088e5 | 1,127 | py | Python | basketball_reference_web_scraper/parsers/players_season_totals.py | sheagk/basketball_reference_web_scraper | 820ff9760f91bffc3efd770d91547f3213f42ec8 | [
"MIT"
] | null | null | null | basketball_reference_web_scraper/parsers/players_season_totals.py | sheagk/basketball_reference_web_scraper | 820ff9760f91bffc3efd770d91547f3213f42ec8 | [
"MIT"
] | null | null | null | basketball_reference_web_scraper/parsers/players_season_totals.py | sheagk/basketball_reference_web_scraper | 820ff9760f91bffc3efd770d91547f3213f42ec8 | [
"MIT"
] | null | null | null | from basketball_reference_web_scraper.parsers.common import split_header_columns
__totals_stats_by_year_header_string = "Player,Pos,Age,Tm,G,GS,MP,FG,FGA,FG%,3P,3PA,3P%,2P,2PA,2P%,eFG%,FT,FTA,FT%,ORB,DRB,TRB,AST,STL,BLK,TOV,PF,PTS"
_totals_stats_by_year_header_columns = split_header_columns(__totals_stats_by_year_head... | 53.666667 | 150 | 0.795918 | from basketball_reference_web_scraper.data import TEAM_ABBREVIATIONS_TO_TEAM, POSITION_ABBREVIATIONS_TO_POSITION
from basketball_reference_web_scraper.parsers.common import COLUMN_RENAMER, COLUMN_PARSER, \
find_team_column, parse_souped_row_given_header_columns, split_header_columns, get_all_tables_with_soup
__tot... | 0 | 0 | 0 | 0 | 0 | 540 | 0 | 211 | 45 |
1351df6d8950944565fc29066b395b8fc367a49c | 13,279 | py | Python | implementation/h2o-benchmarker/metaopt.py | kordikp/AutoMLprediction | 6f87bd0b95ce78103c9f4f83ee85d831ab60a0a6 | [
"Apache-2.0"
] | 1 | 2018-03-22T12:45:32.000Z | 2018-03-22T12:45:32.000Z | implementation/h2o-benchmarker/metaopt.py | kordikp/AutoMLprediction | 6f87bd0b95ce78103c9f4f83ee85d831ab60a0a6 | [
"Apache-2.0"
] | null | null | null | implementation/h2o-benchmarker/metaopt.py | kordikp/AutoMLprediction | 6f87bd0b95ce78103c9f4f83ee85d831ab60a0a6 | [
"Apache-2.0"
] | null | null | null | import h2o
import Benchmarker.config as config
import Benchmarker.utils as utils
import warnings
from optparse import OptionParser
from Benchmarker.utils import init_journal
import Benchmarker.metaopt.params as p
import datetime
import re
import sys
dt = datetime.datetime
## Settings
experiment_name = "... | 36.084239 | 150 | 0.590858 | import h2o
from Benchmarker.experiment import Experiment
import Benchmarker.config as config
import Benchmarker.utils as utils
import warnings
from optparse import OptionParser
from Benchmarker.utils import init_journal, close_journal
import numbers
import Benchmarker.metaopt.fakegame as fg
import Benchmarker.... | 0 | 0 | 0 | 0 | 0 | 9,301 | 0 | 74 | 536 |
56d63ba86ae10523e85c0d58aef43b02420340ec | 6,669 | py | Python | partymode.py | aruether/partymode | c16599c4d7ad4c3fcc76cf0ce4e8f332feba4c02 | [
"MIT"
] | 1 | 2022-03-09T15:52:42.000Z | 2022-03-09T15:52:42.000Z | partymode.py | aruether/partymode | c16599c4d7ad4c3fcc76cf0ce4e8f332feba4c02 | [
"MIT"
] | null | null | null | partymode.py | aruether/partymode | c16599c4d7ad4c3fcc76cf0ce4e8f332feba4c02 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import RPi.GPIO as gpio
import time
import signal
# Volume controls
day_volume = 70
night_volume = 100
# Control box IO
key_channel = 22
button_channel = 7
armed_indicator_channel = 18
activated_indicator_channel = 29
# Motor IO
motor1_channel = 35
motor2_channel = 32
top_limit_channel = 33
... | 25.65 | 114 | 0.708202 | #!/usr/bin/env python
import RPi.GPIO as gpio
import os
import time
import subprocess
import sys
import signal
import threading
import datetime
# Volume controls
day_volume = 70
night_volume = 100
# Control box IO
key_channel = 22
button_channel = 7
armed_indicator_channel = 18
activated_indicator_channel = 29
# ... | 0 | 0 | 0 | 0 | 0 | 4,265 | 0 | -38 | 429 |
345b571a44ba28aa19a909ee3ef31505cd612587 | 457 | py | Python | alpacka/agents/callbacks/__init__.py | shoot-tree-search/sts | 2d9f19a40c7fb1c637dd3bd230942c01f14927e1 | [
"MIT"
] | 2 | 2021-01-03T04:21:56.000Z | 2021-02-12T12:54:58.000Z | alpacka/agents/callbacks/__init__.py | shoot-tree-search/sts | 2d9f19a40c7fb1c637dd3bd230942c01f14927e1 | [
"MIT"
] | null | null | null | alpacka/agents/callbacks/__init__.py | shoot-tree-search/sts | 2d9f19a40c7fb1c637dd3bd230942c01f14927e1 | [
"MIT"
] | null | null | null | """Callbacks."""
from alpacka.agents.callbacks import graph_size_callback
# Configure callbacks in this module to ensure they're accessible via the
# alpacka.agents.callbacks.* namespace.
GraphSizeCallback = configure_callback(graph_size_callback.GraphSizeCallback) # pylint: disable=invalid-name
| 26.882353 | 109 | 0.792123 | """Callbacks."""
import gin
from alpacka.agents.callbacks import graph_size_callback
# Configure callbacks in this module to ensure they're accessible via the
# alpacka.agents.callbacks.* namespace.
def configure_callback(callback_class):
return gin.external_configurable(
callback_class, module='alpacka... | 0 | 0 | 0 | 0 | 0 | 120 | 0 | -11 | 45 |
4265a2a6ddbbcec2469a3d81b4e651385adf2254 | 10,653 | py | Python | distributed/dist_fleet/dist_fleet_ctr.py | zjjlivein/continuous_integration | c8825f32136fdd425389702c37ded08d6fd28a26 | [
"Apache-2.0"
] | 14 | 2020-03-04T07:52:07.000Z | 2022-02-14T01:39:14.000Z | distributed/dist_fleet/dist_fleet_ctr.py | zjjlivein/continuous_integration | c8825f32136fdd425389702c37ded08d6fd28a26 | [
"Apache-2.0"
] | 19 | 2020-03-04T03:52:10.000Z | 2021-12-23T07:02:07.000Z | distributed/dist_fleet/dist_fleet_ctr.py | zjjlivein/continuous_integration | c8825f32136fdd425389702c37ded08d6fd28a26 | [
"Apache-2.0"
] | 26 | 2020-03-04T05:39:09.000Z | 2022-02-14T01:43:28.000Z | #!/bin/env python
# -*- coding: utf-8 -*-
# encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
#======================================================================
#
# Copyright (c) 2017 Baidu.com, Inc. All Rights Reserved
#
#======================================================================
"""
@Desc: dist_base_fl... | 37.776596 | 101 | 0.552708 | #!/bin/env python
# -*- coding: utf-8 -*-
# encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
#======================================================================
#
# Copyright (c) 2017 Baidu.com, Inc. All Rights Reserved
#
#======================================================================
"""
@Desc: dist_base_fl... | 0 | 0 | 0 | 9,431 | 0 | 0 | 0 | 5 | 156 |
47044f1000f098378c2891a015792409afffcd37 | 2,235 | py | Python | azure-iot-common/tests/test_sastoken.py | olivakar/azure-iot-sdk-python-preview | 636855716a362bad1623983026666b5f91c22825 | [
"MIT"
] | null | null | null | azure-iot-common/tests/test_sastoken.py | olivakar/azure-iot-sdk-python-preview | 636855716a362bad1623983026666b5f91c22825 | [
"MIT"
] | null | null | null | azure-iot-common/tests/test_sastoken.py | olivakar/azure-iot-sdk-python-preview | 636855716a362bad1623983026666b5f91c22825 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------... | 31.041667 | 94 | 0.561969 | # -*- coding: utf-8 -*-
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------... | 2 | 0 | 0 | 1,728 | 0 | 0 | 0 | 22 | 113 |
a93a345092e0fef48e929c091a6827fefb7df8be | 2,891 | py | Python | scripts/graphicslib.py | nash169/graphics-lib | a71dd2e27ac64ccccd8f55f1dd87863404789959 | [
"MIT"
] | null | null | null | scripts/graphicslib.py | nash169/graphics-lib | a71dd2e27ac64ccccd8f55f1dd87863404789959 | [
"MIT"
] | null | null | null | scripts/graphicslib.py | nash169/graphics-lib | a71dd2e27ac64ccccd8f55f1dd87863404789959 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
#
# This file is part of graphics-lib.
#
# Copyright (c) 2020, 2021, 2022 Bernardo Fichera <bernardo.fichera@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Softwar... | 34.831325 | 89 | 0.682463 | #!/usr/bin/env python
# encoding: utf-8
#
# This file is part of graphics-lib.
#
# Copyright (c) 2020, 2021, 2022 Bernardo Fichera <bernardo.fichera@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Softwar... | 0 | 1,132 | 0 | 0 | 0 | 341 | 0 | 33 | 114 |
52aab517e0bb1695d7a351f3c996f23cfccf95ac | 4,387 | py | Python | stonesoup/models/measurement/tests/test_combined.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 157 | 2019-04-14T20:43:11.000Z | 2022-03-30T08:30:33.000Z | stonesoup/models/measurement/tests/test_combined.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 364 | 2019-04-18T15:54:49.000Z | 2022-03-31T09:50:02.000Z | stonesoup/models/measurement/tests/test_combined.py | Red-Portal/Stone-Soup-1 | 267621c86161a839da9b144c2745d28d9166d903 | [
"MIT"
] | 86 | 2019-04-20T02:01:18.000Z | 2022-03-28T01:03:11.000Z | # coding: utf-8
| 35.379032 | 90 | 0.63483 | # coding: utf-8
import pytest
from pytest import approx
import numpy as np
from ....types.angle import Bearing
from ....types.array import StateVector, CovarianceMatrix
from ....types.detection import Detection
from ....types.state import State
from ..linear import LinearGaussian
from ..nonlinear import (
Combined... | 0 | 210 | 0 | 0 | 0 | 3,556 | 0 | 166 | 429 |
3a91273c8d7483c5d7b396705caa5c2cf20b08b5 | 824 | py | Python | ms_flask_app/app.py | royxss/Project_Risk_Assessment_Deploy | 931dc91caca120aa86eddfaf0c8fba49867c64fc | [
"Apache-2.0"
] | null | null | null | ms_flask_app/app.py | royxss/Project_Risk_Assessment_Deploy | 931dc91caca120aa86eddfaf0c8fba49867c64fc | [
"Apache-2.0"
] | null | null | null | ms_flask_app/app.py | royxss/Project_Risk_Assessment_Deploy | 931dc91caca120aa86eddfaf0c8fba49867c64fc | [
"Apache-2.0"
] | null | null | null | from flask import Flask
import pickle
pickledModel = pickle.load(open('../app/public/latePaymentsModel.pkl','rb'))
app = Flask(__name__)
if __name__ == '__main__':
app.run(debug=True)
| 26.580645 | 96 | 0.743932 | from flask import Flask,render_template,url_for,request
import pandas as pd
import pickle
import traceback
import ast
import sklearn
import xgboost
pickledModel = pickle.load(open('../app/public/latePaymentsModel.pkl','rb'))
app = Flask(__name__)
@app.route('/')
def index():
return render_template("index.html")
@app... | 0 | 481 | 0 | 0 | 0 | 0 | 0 | 0 | 156 |
7a641e5f90766451959de7a519933e97339c5c6a | 6,814 | py | Python | app.py | snarfed/ownyourresponses | 52e2db2d1b7cae9bb2f9e0d320411627ea195f81 | [
"CC0-1.0"
] | 33 | 2015-02-12T22:19:23.000Z | 2022-01-19T11:02:43.000Z | app.py | snarfed/ownyourresponses | 52e2db2d1b7cae9bb2f9e0d320411627ea195f81 | [
"CC0-1.0"
] | 1 | 2015-10-07T05:53:57.000Z | 2016-02-16T15:21:04.000Z | app.py | snarfed/ownyourresponses | 52e2db2d1b7cae9bb2f9e0d320411627ea195f81 | [
"CC0-1.0"
] | 1 | 2015-10-04T17:32:59.000Z | 2015-10-04T17:32:59.000Z | """OwnYourResponses: turns likes, replies, etc. into posts on your web site.
Polls your social network activity and creates new posts on your web site (via
Micropub) for public Facebook comments and likes, Instagram likes, and Twitter
@-replies, retweets, and favorites.
"""
import urllib.error, urllib.parse
from flas... | 34.588832 | 87 | 0.695627 | """OwnYourResponses: turns likes, replies, etc. into posts on your web site.
Polls your social network activity and creates new posts on your web site (via
Micropub) for public Facebook comments and likes, Instagram likes, and Twitter
@-replies, retweets, and favorites.
"""
import logging
import json
import urllib.err... | 0 | 3,003 | 0 | 355 | 0 | 1,030 | 0 | 103 | 180 |
dbc24dbe997b9424f4f5edfed6b8616411c81386 | 7,267 | py | Python | ImageNet/train.py | mbodenham/Pytorch-XNOR-Net | aad9b68a522026a4a7ebbdf1b9ea82230e2edf24 | [
"BSD-3-Clause"
] | null | null | null | ImageNet/train.py | mbodenham/Pytorch-XNOR-Net | aad9b68a522026a4a7ebbdf1b9ea82230e2edf24 | [
"BSD-3-Clause"
] | null | null | null | ImageNet/train.py | mbodenham/Pytorch-XNOR-Net | aad9b68a522026a4a7ebbdf1b9ea82230e2edf24 | [
"BSD-3-Clause"
] | null | null | null | ## ssh -L 16006:127.0.0.1:16006 mb2775@ogg.cs.bath.ac.uk
import torch
from models import XNOR_VGG
import torchvision
from torchvision import transforms
import argparse
import binop
import torch.utils.tensorboard as tensorboard
import os
from datetime import datetime
import time
def accuracy(output, target, topk=(1,))... | 36.335 | 122 | 0.638916 | ## ssh -L 16006:127.0.0.1:16006 mb2775@ogg.cs.bath.ac.uk
import torch
from models import XNOR_VGG
import torchvision
from torchvision import transforms
import argparse
import binop
import torch.utils.tensorboard as tensorboard
import os
from datetime import datetime
import time
def accuracy(output, target, topk=(1,))... | 0 | 0 | 0 | 368 | 0 | 1,614 | 0 | 0 | 46 |
441f712583f6078e0ab5cdb4e58a31c9252a5c74 | 12,506 | py | Python | matsubara/heom.py | pyquantum/matsubara | c8f540a54fe3eadd2ceb8158b69d650f9cc93133 | [
"MIT"
] | 3 | 2020-04-02T09:28:44.000Z | 2021-01-28T12:19:29.000Z | matsubara/heom.py | Ydeh22/matsubara | c8f540a54fe3eadd2ceb8158b69d650f9cc93133 | [
"MIT"
] | 2 | 2019-07-04T10:09:14.000Z | 2019-07-12T15:04:02.000Z | matsubara/heom.py | Ydeh22/matsubara | c8f540a54fe3eadd2ceb8158b69d650f9cc93133 | [
"MIT"
] | 3 | 2019-04-02T07:59:54.000Z | 2022-03-23T23:49:27.000Z | """
This module provides a solver for the spin-boson model at zero temperature
using the hierarchy equations of motion (HEOM) method.
"""
# Authors: Shahnawaz Ahmed, Neill Lambert
# Contact: shahnawaz.ahmed95@gmail.com
import numpy as np
from qutip import Qobj
from qutip.superoperator import liouvillian
from qutip i... | 29.705463 | 88 | 0.574124 | """
This module provides a solver for the spin-boson model at zero temperature
using the hierarchy equations of motion (HEOM) method.
"""
# Authors: Shahnawaz Ahmed, Neill Lambert
# Contact: shahnawaz.ahmed95@gmail.com
import numpy as np
from copy import copy
from qutip import Qobj, qeye
from qutip.states import en... | 0 | 0 | 0 | 7,299 | 1,439 | 0 | 0 | 138 | 179 |
23d4b9e441abbd42ced42cd4096380d4ab596e69 | 3,225 | py | Python | tools/pycozmo_replay.py | gimait/pycozmo | 601d9c09903b9300e8990723cae95974212afb09 | [
"MIT"
] | 123 | 2019-08-25T21:28:23.000Z | 2022-03-12T13:54:59.000Z | tools/pycozmo_replay.py | solosito/pycozmo | 5d28118eb8f7a625ae4a66054dabf19b4fe27483 | [
"MIT"
] | 41 | 2019-08-25T21:21:37.000Z | 2022-02-09T14:20:54.000Z | tools/pycozmo_replay.py | solosito/pycozmo | 5d28118eb8f7a625ae4a66054dabf19b4fe27483 | [
"MIT"
] | 51 | 2019-09-04T13:30:02.000Z | 2022-01-09T01:20:24.000Z | #!/usr/bin/env python
if __name__ == '__main__':
main()
| 32.908163 | 100 | 0.537364 | #!/usr/bin/env python
from typing import Optional
import sys
import time
import dpkt
import pycozmo
class ReplayApp(object):
def __init__(self, log_messages: Optional[list] = None, replay_messages: Optional[list] = None):
self.log_messages = log_messages
self.frame_count = 0
self.pkts ... | 0 | 0 | 0 | 2,811 | 0 | 223 | 0 | -32 | 159 |
4724c3f8a6a2a060f1395a3f8e0e389b1091ba8a | 7,944 | py | Python | opfython/core/opf.py | gugarosa/opfython | 19b467a92d85c7c26d231efec770645096827b4e | [
"Apache-2.0"
] | 26 | 2018-04-24T20:16:18.000Z | 2022-03-09T14:03:28.000Z | opfython/core/opf.py | gugarosa/opfython | 19b467a92d85c7c26d231efec770645096827b4e | [
"Apache-2.0"
] | 4 | 2020-12-26T14:57:18.000Z | 2022-03-30T02:34:18.000Z | opfython/core/opf.py | gugarosa/opfython | 19b467a92d85c7c26d231efec770645096827b4e | [
"Apache-2.0"
] | 16 | 2019-05-20T15:41:56.000Z | 2022-03-23T17:59:53.000Z | """Optimum-Path Forest standard definitions.
"""
import opfython.stream.loader as loader
import opfython.utils.logging as l
logger = l.get_logger(__name__)
| 32.292683 | 124 | 0.601586 | """Optimum-Path Forest standard definitions.
"""
import pickle
import numpy as np
import opfython.math.distance as d
import opfython.stream.loader as loader
import opfython.utils.exception as e
import opfython.utils.logging as l
from opfython.core import Subgraph
logger = l.get_logger(__name__)
class OPF:
"""... | 2 | 3,530 | 0 | 4,089 | 0 | 0 | 0 | 30 | 136 |
8f421a457cb054f46d0d551c64aeebdaf5a52b6e | 2,093 | py | Python | record_shortcuts.py | elyssac02/grass-gis-on-hpc-henry2 | 68262c3687f967760b1c8cee0fff1a29e45a7698 | [
"CC0-1.0"
] | 1 | 2021-09-30T14:50:00.000Z | 2021-09-30T14:50:00.000Z | record_shortcuts.py | elyssac02/grass-gis-on-hpc-henry2 | 68262c3687f967760b1c8cee0fff1a29e45a7698 | [
"CC0-1.0"
] | 54 | 2020-05-12T01:58:04.000Z | 2022-03-11T15:39:49.000Z | record_shortcuts.py | elyssac02/grass-gis-on-hpc-henry2 | 68262c3687f967760b1c8cee0fff1a29e45a7698 | [
"CC0-1.0"
] | 3 | 2020-07-14T20:43:13.000Z | 2021-09-23T14:45:05.000Z | #!/usr/bin/env python
"""Record default module version and symlinks as shortcuts"""
import os
import re
import sys
from datetime import datetime
from pathlib import Path
def read_and_record_shortcuts(path, filename):
"""Read content of the directory, check validity, record to YAML file"""
path = Path(path)
... | 32.703125 | 88 | 0.580029 | #!/usr/bin/env python
"""Record default module version and symlinks as shortcuts"""
import os
import re
import sys
from datetime import datetime
from pathlib import Path
def read_and_record_shortcuts(path, filename):
"""Read content of the directory, check validity, record to YAML file"""
path = Path(path)
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2e1292230597d1078b8609ca622f2f6e67696ad3 | 2,494 | py | Python | carver/ole/ole/ole.py | maydewd/stoq-plugins-public | 8b2877b5091ae731437ef35a95d4debdbf0a19f3 | [
"Apache-2.0"
] | null | null | null | carver/ole/ole/ole.py | maydewd/stoq-plugins-public | 8b2877b5091ae731437ef35a95d4debdbf0a19f3 | [
"Apache-2.0"
] | null | null | null | carver/ole/ole/ole.py | maydewd/stoq-plugins-public | 8b2877b5091ae731437ef35a95d4debdbf0a19f3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014-2015 PUNCH Cyber Analytics Group
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 29.341176 | 94 | 0.54571 | # Copyright 2014-2015 PUNCH Cyber Analytics Group
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 0 | 0 | 0 | 1,690 | 0 | 0 | 0 | 14 | 92 |
54ddfcbec622cddc0ff5caa8d2af77d5e8895d40 | 2,017 | py | Python | main.py | ArtDevRodrigues/game-basePython | e150e592a03c5b37aa20c1fdbb047e11aec2f56d | [
"MIT"
] | null | null | null | main.py | ArtDevRodrigues/game-basePython | e150e592a03c5b37aa20c1fdbb047e11aec2f56d | [
"MIT"
] | null | null | null | main.py | ArtDevRodrigues/game-basePython | e150e592a03c5b37aa20c1fdbb047e11aec2f56d | [
"MIT"
] | null | null | null | # elementos e seus ids
# 1-fogo
# 2-agua
# 3-terra
# 4-ar
p1 = Player("P1","Guerreiro","Masculino","Indiano")
ws1 = [
#Weapon(id ,element ,price ,rarity ,strength ,speed),
Weapon( 1 ,randint(1,4),randint(10,200),randint(1,5),randint(10,100),randint(2,10),"espada"),
Weapon( 2 ,randint... | 37.351852 | 142 | 0.646009 | from game import *
from random import *
# elementos e seus ids
# 1-fogo
# 2-agua
# 3-terra
# 4-ar
p1 = Player("P1","Guerreiro","Masculino","Indiano")
ws1 = [
#Weapon(id ,element ,price ,rarity ,strength ,speed),
Weapon( 1 ,randint(1,4),randint(10,200),randint(1,5),randint(10,100),randint... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 44 |
fc1262d2e00618c8f06ef4ca02d3e3ab4748a18c | 4,997 | py | Python | Lib/site-packages/tensorboard/plugins/scalar/scalars_plugin.py | caiyongji/tf2.3.1-py3.7.9-full-built | ace4efcbf05b2b494388739718a18c13eab83c71 | [
"CNRI-Python-GPL-Compatible"
] | 4 | 2020-09-02T16:13:51.000Z | 2021-06-05T08:45:59.000Z | Lib/site-packages/tensorboard/plugins/scalar/scalars_plugin.py | caiyongji/tf2.3.1-py3.7.9-full-built | ace4efcbf05b2b494388739718a18c13eab83c71 | [
"CNRI-Python-GPL-Compatible"
] | null | null | null | Lib/site-packages/tensorboard/plugins/scalar/scalars_plugin.py | caiyongji/tf2.3.1-py3.7.9-full-built | ace4efcbf05b2b494388739718a18c13eab83c71 | [
"CNRI-Python-GPL-Compatible"
] | 1 | 2020-09-17T13:16:30.000Z | 2020-09-17T13:16:30.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 35.439716 | 80 | 0.64959 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 0 | 816 | 0 | 2,752 | 0 | 0 | 0 | 109 | 335 |
8788365c9cd1db6b69140f3e164a309b5cbc16ec | 929 | py | Python | backend/surveybackend/djangobasic/urls.py | huarngpa/huarngpa_norc_challenge | 58dc0d47b9149a8081f6ba81facb27bf5aefe8bb | [
"MIT"
] | null | null | null | backend/surveybackend/djangobasic/urls.py | huarngpa/huarngpa_norc_challenge | 58dc0d47b9149a8081f6ba81facb27bf5aefe8bb | [
"MIT"
] | 7 | 2020-02-11T23:07:58.000Z | 2022-02-10T16:34:54.000Z | backend/surveybackend/djangobasic/urls.py | huarngpa/huarngpa_norc_challenge | 58dc0d47b9149a8081f6ba81facb27bf5aefe8bb | [
"MIT"
] | null | null | null | from django.conf.urls import url, include
from django.contrib.auth.decorators import login_required
from django.urls import path
from . import views
from rest_framework.routers import DefaultRouter
app_name = 'djangobasic'
# Create a router and register our viewsets with it.
router = DefaultRouter()
router.regist... | 29.967742 | 91 | 0.748116 | from django.conf.urls import url, include
from django.contrib.auth.decorators import login_required
from django.urls import path
from . import views
from rest_framework.routers import DefaultRouter
app_name = 'djangobasic'
# Create a router and register our viewsets with it.
router = DefaultRouter()
router.regist... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |