hexsha stringlengths 40 40 | size int64 3 1.03M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 972 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | 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 3 972 | max_issues_repo_name stringlengths 6 130 | 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 3 972 | max_forks_repo_name stringlengths 6 130 | 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 3 1.03M | avg_line_length float64 1.13 941k | max_line_length int64 2 941k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
36903acebc23474f337d040919537687c0fe638f | 2,845 | py | Python | sdk/python/pulumi_azure_native/web/v20210101/list_web_app_sync_function_triggers_slot.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/web/v20210101/list_web_app_sync_function_triggers_slot.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/web/v20210101/list_web_app_sync_function_triggers_slot.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
__... | 34.695122 | 173 | 0.663972 |
41f442b704e89f6e4f69ff1c6ed80e8617baaabd | 1,324 | py | Python | models.py | anthill-gaming/blog | 473f036afa77f5c27fb2b4be1aacf2631d9fea56 | [
"MIT"
] | null | null | null | models.py | anthill-gaming/blog | 473f036afa77f5c27fb2b4be1aacf2631d9fea56 | [
"MIT"
] | null | null | null | models.py | anthill-gaming/blog | 473f036afa77f5c27fb2b4be1aacf2631d9fea56 | [
"MIT"
] | null | null | null | # For more details, see
# http://docs.sqlalchemy.org/en/latest/orm/tutorial.html#declare-a-mapping
from anthill.framework.db import db
from anthill.framework.utils import timezone
from sqlalchemy.ext.hybrid import hybrid_property
class Post(db.Model):
__tablename__ = 'posts'
id = db.Column(db.Integer, primar... | 32.292683 | 74 | 0.689577 |
efe5796d2e449abb8209b0e84c3b752b4cce3819 | 13,131 | py | Python | build-tools/apb_packaging/sb_cfn_package/sb_cfn_package.py | isotoma/aws-servicebroker | 6ff31872adaba26abd8266164fcdf96cfd757371 | [
"Apache-2.0"
] | null | null | null | build-tools/apb_packaging/sb_cfn_package/sb_cfn_package.py | isotoma/aws-servicebroker | 6ff31872adaba26abd8266164fcdf96cfd757371 | [
"Apache-2.0"
] | null | null | null | build-tools/apb_packaging/sb_cfn_package/sb_cfn_package.py | isotoma/aws-servicebroker | 6ff31872adaba26abd8266164fcdf96cfd757371 | [
"Apache-2.0"
] | null | null | null | import argparse
import logging
import yaml
import json
from taskcat.utils import CFNYAMLHandler
import os
from random import random
from base64 import b64encode
import shutil
import subprocess
import re
import jinja2
try:
from aws_servicebroker_spec import AwsServiceBrokerSpec
except:
from sb_cfn_package.aws_se... | 51.901186 | 268 | 0.618765 |
cff7451c9ed9c648fbb89a35b32affc876134c66 | 8,878 | py | Python | plots.py | keyboardAnt/Decoupling-Gating-From-Linearity | 8ca98c4e2723e776651983272cf570cbda027aad | [
"MIT"
] | null | null | null | plots.py | keyboardAnt/Decoupling-Gating-From-Linearity | 8ca98c4e2723e776651983272cf570cbda027aad | [
"MIT"
] | null | null | null | plots.py | keyboardAnt/Decoupling-Gating-From-Linearity | 8ca98c4e2723e776651983272cf570cbda027aad | [
"MIT"
] | null | null | null | from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
from tikzplotlib import save as tikz_save
import parse
plt.style.use("ggplot")
################################################################################
# ... | 34.410853 | 122 | 0.513629 |
e32d2f0d0023d522a88b16ed9863bf336c5c2e86 | 1,018 | py | Python | external_libs/wifi_config/tools/embed.py | q-barbar/esp-homekit-devices | 3b5ead070f83296dfa70f6f8403beb6feccaadb2 | [
"Apache-2.0"
] | 75 | 2020-04-07T01:59:32.000Z | 2022-03-24T23:28:52.000Z | external_libs/wifi_config/tools/embed.py | q-barbar/esp-homekit-devices | 3b5ead070f83296dfa70f6f8403beb6feccaadb2 | [
"Apache-2.0"
] | 3 | 2020-04-13T03:34:59.000Z | 2022-02-25T03:44:19.000Z | external_libs/wifi_config/tools/embed.py | q-barbar/esp-homekit-devices | 3b5ead070f83296dfa70f6f8403beb6feccaadb2 | [
"Apache-2.0"
] | 22 | 2020-05-10T15:28:44.000Z | 2021-09-26T15:34:33.000Z | #!/usr/bin/env python
import re
import sys
def gen_embedded(content):
content = re.sub(r'{{.*?}}', '%s', re.sub(r'{%.*?%}', '', content))
part_headers = list(re.finditer(r'<!-- part (\S+) -->', content))
if not part_headers:
print 'Error: no parts found'
return
def process_part(part... | 22.130435 | 71 | 0.510806 |
bd7357844f68627f9d663c31ef2a8ab8bc3bc034 | 1,624 | py | Python | autotools/modelparser/excelpublicenumparser.py | LMiceOrg/Modelingtools | f372336d7c356dcf754db755f62165ba6961727a | [
"MIT"
] | 1 | 2016-01-08T10:54:02.000Z | 2016-01-08T10:54:02.000Z | autotools/modelparser/excelpublicenumparser.py | LMiceOrg/Modelingtools | f372336d7c356dcf754db755f62165ba6961727a | [
"MIT"
] | null | null | null | autotools/modelparser/excelpublicenumparser.py | LMiceOrg/Modelingtools | f372336d7c356dcf754db755f62165ba6961727a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Excel PublicEnum表单解析器基类,
ExcelPublicEnumParser
Sheet struct: 枚举数据类型名称 数据类型描述 枚举项 值 值定义
"""
import excelsheetparser
class ExcelPublicEnumParser(excelsheetparser.ExcelSheetParser):
def ParseExcelSheet(self, model, xl_name, sh_ctx, sh_idx, sh_... | 37.767442 | 129 | 0.575123 |
983e52013371caa7ebac6f3d869a0fbed9755905 | 7,651 | py | Python | tests/system/test_classify.py | JHUAPL/meta-system | d3e80e50d64e1a9e83d81efbcb8de1ec9cc34e03 | [
"Apache-2.0"
] | 5 | 2021-07-30T00:59:59.000Z | 2022-03-23T16:52:46.000Z | tests/system/test_classify.py | JHUAPL/meta-system | d3e80e50d64e1a9e83d81efbcb8de1ec9cc34e03 | [
"Apache-2.0"
] | null | null | null | tests/system/test_classify.py | JHUAPL/meta-system | d3e80e50d64e1a9e83d81efbcb8de1ec9cc34e03 | [
"Apache-2.0"
] | null | null | null | # **********************************************************************
# Copyright (C) 2020 Johns Hopkins University Applied Physics Laboratory
#
# All Rights Reserved.
# For any other permission, please contact the Legal Office at JHU/APL.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# y... | 45.272189 | 110 | 0.690759 |
4bc36d514183c9398c332bec352fa2d70a66818f | 10,676 | py | Python | uhd_restpy/testplatform/sessions/ixnetwork/topology/isistrillpseudoifaceattpoint1config_4c83cc199df8becee43d785e9ef03dc7.py | rfrye-github/ixnetwork_restpy | 23eeb24b21568a23d3f31bbd72814ff55eb1af44 | [
"MIT"
] | null | null | null | uhd_restpy/testplatform/sessions/ixnetwork/topology/isistrillpseudoifaceattpoint1config_4c83cc199df8becee43d785e9ef03dc7.py | rfrye-github/ixnetwork_restpy | 23eeb24b21568a23d3f31bbd72814ff55eb1af44 | [
"MIT"
] | null | null | null | uhd_restpy/testplatform/sessions/ixnetwork/topology/isistrillpseudoifaceattpoint1config_4c83cc199df8becee43d785e9ef03dc7.py | rfrye-github/ixnetwork_restpy | 23eeb24b21568a23d3f31bbd72814ff55eb1af44 | [
"MIT"
] | null | null | null | # MIT LICENSE
#
# Copyright 1997 - 2020 by IXIA Keysight
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, ... | 40.904215 | 190 | 0.644998 |
24da1e620f8b774764cbc238578f7450a67e8d32 | 1,345 | py | Python | skills/dff_program_y_dangerous/test.py | oserikov/dream | 109ba2df799025dcdada1fddbb7380e1c03100eb | [
"Apache-2.0"
] | 34 | 2021-08-18T14:51:44.000Z | 2022-03-10T14:14:48.000Z | skills/dff_program_y_dangerous/test.py | oserikov/dream | 109ba2df799025dcdada1fddbb7380e1c03100eb | [
"Apache-2.0"
] | 27 | 2021-08-30T14:42:09.000Z | 2022-03-17T22:11:45.000Z | skills/dff_program_y_dangerous/test.py | oserikov/dream | 109ba2df799025dcdada1fddbb7380e1c03100eb | [
"Apache-2.0"
] | 40 | 2021-08-22T07:13:32.000Z | 2022-03-29T11:45:32.000Z | import requests
def to_dialogs(sentences):
utters = [{"text": sent, "user": {"user_type": "human"}} for sent in ["hi"] + sentences]
return {"dialogs": [{"utterances": utters, "bot_utterances": utters, "human_utterances": utters}]}
def main_test():
url = "http://0.0.0.0:8022/api/rest/v1.0/ask"
senten... | 43.387097 | 120 | 0.622305 |
11a0a59e67a824a3e455fd9377e05f969e9517e7 | 4,271 | py | Python | lambdas/shared/t4_lambda_shared/decorator.py | BearerPipelineTest/quilt | 5ebef2332dca7600d58d34b2e5a1821d442a3d35 | [
"Apache-2.0"
] | 62 | 2017-09-07T15:13:49.000Z | 2017-12-13T02:20:01.000Z | lambdas/shared/t4_lambda_shared/decorator.py | BearerPipelineTest/quilt | 5ebef2332dca7600d58d34b2e5a1821d442a3d35 | [
"Apache-2.0"
] | 41 | 2017-09-08T05:11:37.000Z | 2017-12-14T13:14:35.000Z | lambdas/shared/t4_lambda_shared/decorator.py | BearerPipelineTest/quilt | 5ebef2332dca7600d58d34b2e5a1821d442a3d35 | [
"Apache-2.0"
] | 8 | 2017-09-27T11:42:16.000Z | 2017-12-10T03:07:03.000Z | """
Decorators for using lambdas in API Gateway
"""
import gzip
import traceback
import urllib.parse
from base64 import b64decode, b64encode
from functools import wraps
from jsonschema import Draft4Validator, ValidationError
GZIP_MIN_LENGTH = 1024
GZIP_TYPES = {'text/plain', 'application/json'}
# Used, e.g., for bin... | 33.108527 | 109 | 0.520253 |
fbb660dcad0a82ac1422d4517fcc69ac2b9185da | 2,982 | py | Python | sidecar/endpoint/tests/base.py | rmontenegroo/sidecar.endpoint | bb4392ac97583a599982898bea2f113476be09c1 | [
"Apache-2.0"
] | null | null | null | sidecar/endpoint/tests/base.py | rmontenegroo/sidecar.endpoint | bb4392ac97583a599982898bea2f113476be09c1 | [
"Apache-2.0"
] | null | null | null | sidecar/endpoint/tests/base.py | rmontenegroo/sidecar.endpoint | bb4392ac97583a599982898bea2f113476be09c1 | [
"Apache-2.0"
] | null | null | null | """Test setup for integration and functional tests.
When we import PloneTestCase and then call setupPloneSite(), all of
Plone's products are loaded, and a Plone site will be created. This
happens at module level, which makes it faster to run each test, but
slows down test runner startup.
"""
from Products.Five import... | 36.365854 | 71 | 0.711938 |
035b30b95bc4b38684babb3dd4d934bd09f23d29 | 10,584 | py | Python | main.py | wizofe/urus-mri-recon | eab8e48dca31d2b936ce69ccc251ec5a4a10facc | [
"MIT"
] | null | null | null | main.py | wizofe/urus-mri-recon | eab8e48dca31d2b936ce69ccc251ec5a4a10facc | [
"MIT"
] | null | null | null | main.py | wizofe/urus-mri-recon | eab8e48dca31d2b936ce69ccc251ec5a4a10facc | [
"MIT"
] | null | null | null | # models
import shutil
import sys
from tensorboardX import SummaryWriter
from torch import optim
from utils.myloss import *
import torch.nn.modules.loss as Loss
from unet import UNet
from utils import *
from utils.cmplxBatchNorm import magnitude, normalizeComplexBatch_byMagnitudeOnly
from utils.dataset import *
#
# ... | 32.971963 | 116 | 0.510299 |
b36c5f4f4df15a8bd150032c3cd5416d695e0d58 | 285 | py | Python | atest/testdata/running/skip/skiplib.py | rdagum/robotframework | b7069d505374e9f09a140ed5a9727d2a40716446 | [
"ECL-2.0",
"Apache-2.0"
] | 7,073 | 2015-01-01T17:19:16.000Z | 2022-03-31T22:01:29.000Z | atest/testdata/running/skip/skiplib.py | imust6226/robotframework | 08c56fef2ebc64d682c7f99acd77c480d8d0e028 | [
"ECL-2.0",
"Apache-2.0"
] | 2,412 | 2015-01-02T09:29:05.000Z | 2022-03-31T13:10:46.000Z | atest/testdata/running/skip/skiplib.py | rticau/robotframework | 33ee46dfacd5173c0a38d89c1a60abf6a747c8c0 | [
"ECL-2.0",
"Apache-2.0"
] | 2,298 | 2015-01-03T02:47:15.000Z | 2022-03-31T02:00:16.000Z | from robot.api import SkipExecution
class CustomSkipException(Exception):
ROBOT_SKIP_EXECUTION = True
def skip_with_message(msg, html=False):
raise SkipExecution(msg, html)
def skip_with_custom_exception():
raise CustomSkipException("Skipped with custom exception.")
| 20.357143 | 63 | 0.785965 |
997f4985937e3b961efad0a0317248d90d43e916 | 637 | py | Python | cpylog/jupyter_utils.py | cpylog/cpylog | 4b0dd669e7f5bd6dfa1376d95d0c368bc42f9f19 | [
"BSD-3-Clause"
] | 1 | 2021-01-29T18:17:58.000Z | 2021-01-29T18:17:58.000Z | cpylog/jupyter_utils.py | SteveDoyle2/cpylog | 4b0dd669e7f5bd6dfa1376d95d0c368bc42f9f19 | [
"BSD-3-Clause"
] | 1 | 2020-01-03T22:14:38.000Z | 2020-01-05T00:26:17.000Z | cpylog/jupyter_utils.py | cpylog/cpylog | 4b0dd669e7f5bd6dfa1376d95d0c368bc42f9f19 | [
"BSD-3-Clause"
] | 2 | 2019-03-09T01:20:35.000Z | 2020-06-17T03:15:30.000Z | from IPython.core.display import display, HTML
WARNING_TO_COLOR_MAP = {
'DEBUG' : 'blue',
'INFO' : 'green',
'WARNING' : 'orange',
'ERROR' : 'red',
'EXCEPTION' : 'red',
'CRITICAL' : 'red',
}
def write_html(typ: str, name: str, msg: str, encoding: str) -> None:
"""
per:
- https://st... | 31.85 | 118 | 0.643642 |
554bb4c12f6809931b6a2e9f713102e9886487c2 | 3,036 | py | Python | aliyun-python-sdk-gdb/aliyunsdkgdb/request/v20190903/DescribeBackupsRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 1,001 | 2015-07-24T01:32:41.000Z | 2022-03-25T01:28:18.000Z | aliyun-python-sdk-gdb/aliyunsdkgdb/request/v20190903/DescribeBackupsRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 363 | 2015-10-20T03:15:00.000Z | 2022-03-08T12:26:19.000Z | aliyun-python-sdk-gdb/aliyunsdkgdb/request/v20190903/DescribeBackupsRequest.py | yndu13/aliyun-openapi-python-sdk | 12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5 | [
"Apache-2.0"
] | 682 | 2015-09-22T07:19:02.000Z | 2022-03-22T09:51:46.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 33 | 74 | 0.765481 |
d86db4e720242a5160ed56b43c7d2564e614cbd3 | 425 | py | Python | saleor/greinar/migrations/0019_greinar_picture.py | wahello/sminor | 24ffcafedfd0c0eff8db4a53e2f1f5f6ff3ebfc9 | [
"BSD-3-Clause"
] | null | null | null | saleor/greinar/migrations/0019_greinar_picture.py | wahello/sminor | 24ffcafedfd0c0eff8db4a53e2f1f5f6ff3ebfc9 | [
"BSD-3-Clause"
] | null | null | null | saleor/greinar/migrations/0019_greinar_picture.py | wahello/sminor | 24ffcafedfd0c0eff8db4a53e2f1f5f6ff3ebfc9 | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 2.0.3 on 2018-06-20 22:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('greinar', '0018_remove_greinar_image'),
]
operations = [
migrations.AddField(
model_name='greinar',
name='picture',
... | 22.368421 | 87 | 0.616471 |
3ac64373b3ae65717b678d8ccca8aeb10cbc4b4c | 1,983 | py | Python | tests/test_models/test_cohort.py | wikimedia/analytics-wikimetrics | 1d2036657b06ccd16ecfc76edd3f9a6119ff75f4 | [
"MIT"
] | 6 | 2015-01-28T05:59:08.000Z | 2018-01-09T07:48:57.000Z | tests/test_models/test_cohort.py | wikimedia/analytics-wikimetrics | 1d2036657b06ccd16ecfc76edd3f9a6119ff75f4 | [
"MIT"
] | 2 | 2020-05-09T16:36:43.000Z | 2020-05-09T16:52:35.000Z | tests/test_models/test_cohort.py | wikimedia/analytics-wikimetrics | 1d2036657b06ccd16ecfc76edd3f9a6119ff75f4 | [
"MIT"
] | 1 | 2016-01-13T07:19:44.000Z | 2016-01-13T07:19:44.000Z | from nose.tools import assert_equal, raises
from wikimetrics.models import CohortStore, WikiUserStore
from wikimetrics.api import CohortService
from ..fixtures import DatabaseTest
class CohortStoreTest(DatabaseTest):
def setUp(self):
DatabaseTest.setUp(self)
self.common_cohort_1()
self.co... | 36.722222 | 86 | 0.669188 |
3eb8a4f54238bf701dcb3b035c57a5e5bfce0c85 | 10,746 | py | Python | tests/test_red_flags.py | Anguandia/i-reporter | 61c8236174101a229a72a2a4a01c465062dba893 | [
"MIT"
] | null | null | null | tests/test_red_flags.py | Anguandia/i-reporter | 61c8236174101a229a72a2a4a01c465062dba893 | [
"MIT"
] | null | null | null | tests/test_red_flags.py | Anguandia/i-reporter | 61c8236174101a229a72a2a4a01c465062dba893 | [
"MIT"
] | null | null | null | import os
import pytest
import json
from tests.test_data import dat
from app import implementation, routes
@pytest.fixture(scope='function')
def client():
red_flags = implementation.red_flags
app = routes.app
test_client = app.test_client()
red_flags.clear()
cxt = app.app_context()
cxt.push()
... | 35.465347 | 79 | 0.692351 |
df56625a599843b0885c8ff45b19bf144a35b733 | 4,596 | py | Python | Src/StdLib/Lib/test/test_shelve.py | cwensley/ironpython2 | f854444e1e08afc8850cb7c1a739a7dd2d10d32a | [
"Apache-2.0"
] | 2,209 | 2016-11-20T10:32:58.000Z | 2022-03-31T20:51:27.000Z | Src/StdLib/Lib/test/test_shelve.py | cwensley/ironpython2 | f854444e1e08afc8850cb7c1a739a7dd2d10d32a | [
"Apache-2.0"
] | 1,074 | 2016-12-07T05:02:48.000Z | 2022-03-22T02:09:11.000Z | Src/StdLib/Lib/test/test_shelve.py | cwensley/ironpython2 | f854444e1e08afc8850cb7c1a739a7dd2d10d32a | [
"Apache-2.0"
] | 338 | 2020-04-18T08:03:10.000Z | 2022-03-29T12:33:22.000Z | import os
import unittest
import shelve
import glob
from test import test_support
test_support.import_module('anydbm', deprecated=True)
class TestCase(unittest.TestCase):
fn = "shelftemp" + os.extsep + "db"
def test_close(self):
d1 = {}
s = shelve.Shelf(d1, protocol=2, writeback=False)
... | 28.02439 | 74 | 0.549391 |
5246d8fa864a7ee6843d9c146fb41b6952880e36 | 75,520 | py | Python | release/scripts/startup/bl_ui/space_view3d_toolbar.py | scorpion81/boneMaster | 4a1e45679b979b7eb646c91e2f67596a474a3e0b | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 3 | 2019-07-20T23:14:45.000Z | 2019-11-02T13:31:10.000Z | release/scripts/startup/bl_ui/space_view3d_toolbar.py | scorpion81/boneMaster | 4a1e45679b979b7eb646c91e2f67596a474a3e0b | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | release/scripts/startup/bl_ui/space_view3d_toolbar.py | scorpion81/boneMaster | 4a1e45679b979b7eb646c91e2f67596a474a3e0b | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2019-11-02T13:31:13.000Z | 2019-11-02T13:31:13.000Z | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | 33.911091 | 110 | 0.654449 |
17a35ee8d2294ef06b593b209e0a444ad9bed9ed | 87 | py | Python | brood/__main__.py | JoshKarpel/brood | 22a454bdd462a29d895f218ba28a3c4ca51f9767 | [
"MIT"
] | null | null | null | brood/__main__.py | JoshKarpel/brood | 22a454bdd462a29d895f218ba28a3c4ca51f9767 | [
"MIT"
] | 36 | 2021-08-31T01:50:03.000Z | 2022-03-14T20:50:13.000Z | brood/__main__.py | JoshKarpel/brood | 22a454bdd462a29d895f218ba28a3c4ca51f9767 | [
"MIT"
] | null | null | null | from .constants import PACKAGE_NAME
from .main import app
app(prog_name=PACKAGE_NAME)
| 17.4 | 35 | 0.827586 |
91e62939a9d6b5597c037baec97bbcfb5d97261e | 98,510 | py | Python | modbus_server/modbus_redis_server_py3/backup/minimalmodbus.py | bopopescu/docker_images_a | 348d0982c5962f2ae34d10183ed9522b7a6fe286 | [
"MIT"
] | 2 | 2018-02-21T03:46:51.000Z | 2019-12-24T16:40:51.000Z | modbus_server/modbus_redis_server_py3/backup/minimalmodbus.py | bopopescu/docker_images_a | 348d0982c5962f2ae34d10183ed9522b7a6fe286 | [
"MIT"
] | 7 | 2020-07-16T19:54:08.000Z | 2022-03-02T03:29:07.000Z | modbus_server/modbus_redis_server_py3/backup/minimalmodbus.py | bopopescu/docker_images_a | 348d0982c5962f2ae34d10183ed9522b7a6fe286 | [
"MIT"
] | 2 | 2018-04-16T07:02:35.000Z | 2020-07-23T21:57:19.000Z | #!/usr/bin/env python
#
# Copyright 2015 Jonas Berg
#
# 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 appli... | 38.601097 | 215 | 0.633905 |
15c8f408f5cb66f652c7388e632faac2c4e926a9 | 405 | py | Python | db/base_model.py | convers39/IR-ecommerce | 57665aace80c14b52a40a9576de8b433a13f8f3f | [
"MIT"
] | 2 | 2021-10-12T11:04:57.000Z | 2022-01-04T08:17:11.000Z | db/base_model.py | convers39/IR-ecommerce | 57665aace80c14b52a40a9576de8b433a13f8f3f | [
"MIT"
] | null | null | null | db/base_model.py | convers39/IR-ecommerce | 57665aace80c14b52a40a9576de8b433a13f8f3f | [
"MIT"
] | 1 | 2021-04-30T16:43:29.000Z | 2021-04-30T16:43:29.000Z | from django.db import models
class BaseModel(models.Model):
"""
Base model inheritated by other models
"""
created_at = models.DateTimeField(
auto_now_add=True, verbose_name='created')
updated_at = models.DateTimeField(auto_now=True, verbose_name='updated')
is_deleted = models.BooleanF... | 27 | 76 | 0.706173 |
7acaa7de72abba5851d4aa1ab67c2698e0189391 | 4,207 | py | Python | bambi/families/likelihood.py | yannmclatchie/bambi | 363cb3bf2fd4170e49625d9c063a4da13e6af9e0 | [
"MIT"
] | 793 | 2016-09-08T22:41:00.000Z | 2022-03-25T20:19:12.000Z | bambi/families/likelihood.py | yannmclatchie/bambi | 363cb3bf2fd4170e49625d9c063a4da13e6af9e0 | [
"MIT"
] | 397 | 2016-08-25T05:28:41.000Z | 2022-03-28T15:09:01.000Z | bambi/families/likelihood.py | yannmclatchie/bambi | 363cb3bf2fd4170e49625d9c063a4da13e6af9e0 | [
"MIT"
] | 93 | 2016-09-09T03:16:28.000Z | 2022-03-16T12:16:35.000Z | from bambi.priors import Prior
from bambi.utils import multilinify, spacify
DISTRIBUTIONS = {
"Bernoulli": {"params": ("p",), "parent": "p", "args": None},
"Beta": {"params": ("mu", "kappa"), "parent": "mu", "args": ("kappa",)},
"Binomial": {"params": ("p",), "parent": "p", "args": None},
"Categorical"... | 37.900901 | 100 | 0.599952 |
60d469d50d5121b661d0fae037a87755976bb0d7 | 344 | py | Python | test/accessor/test_both.py | Zeroto521/my-data-toolkit | bde37f625aa81e65b97648798535f6d931864888 | [
"MIT"
] | 1 | 2021-10-09T04:50:58.000Z | 2021-10-09T04:50:58.000Z | test/accessor/test_both.py | Zeroto521/my-data-toolkit | bde37f625aa81e65b97648798535f6d931864888 | [
"MIT"
] | 427 | 2021-06-04T02:40:22.000Z | 2022-03-30T12:55:52.000Z | test/accessor/test_both.py | Zeroto521/my-data-toolkit | bde37f625aa81e65b97648798535f6d931864888 | [
"MIT"
] | 1 | 2021-07-09T09:56:44.000Z | 2021-07-09T09:56:44.000Z | from test.accessor import d
from test.accessor import s
import pytest
from dtoolkit.accessor.dataframe import cols # noqa
from dtoolkit.accessor.series import cols # noqa
@pytest.mark.parametrize(
"df, expt",
[
(s, s.name),
(d, d.columns.tolist()),
],
)
def test_column(df, expt):
a... | 18.105263 | 52 | 0.65407 |
5215945254d3a2e7d7a65f19949b3eb971c0bd78 | 608 | py | Python | conferences/models.py | red-and-black/friendly | f453344ad1e9173ad3545e4ea0c825b65190b3c5 | [
"Apache-2.0"
] | 2 | 2020-01-28T12:56:56.000Z | 2021-07-02T03:07:39.000Z | conferences/models.py | red-and-black/friendly | f453344ad1e9173ad3545e4ea0c825b65190b3c5 | [
"Apache-2.0"
] | 5 | 2021-03-18T23:02:11.000Z | 2021-09-17T11:02:08.000Z | conferences/models.py | red-and-black/goodchat | 1a391a04d4edfbcefaf87663f08308dd58578634 | [
"Apache-2.0"
] | null | null | null | from django.db import models
class Conference(models.Model):
name = models.CharField(max_length=255)
hashtag = models.CharField(max_length=40)
collective_noun = models.CharField(max_length=40, default='attendees')
polling_interval = models.PositiveSmallIntegerField(default=5)
location = models.Cha... | 40.533333 | 74 | 0.753289 |
3bd87b7b3aa08dff8dab4677493fed51b45a1964 | 2,465 | py | Python | tools/ISysPy/isys.py | thekaigonzalez/ISys | 16b933dc25551268bdcdba36a925c7203859e52e | [
"MIT"
] | null | null | null | tools/ISysPy/isys.py | thekaigonzalez/ISys | 16b933dc25551268bdcdba36a925c7203859e52e | [
"MIT"
] | null | null | null | tools/ISysPy/isys.py | thekaigonzalez/ISys | 16b933dc25551268bdcdba36a925c7203859e52e | [
"MIT"
] | null | null | null | import os
import sys
"""
ISysPy - Python replica of ISys
"""
# fix2: Remove "data"
#data = ["PRINT"]
datap = ["ISYS_PRINT", "ISYS_EXECUTE"]
class Statement: # create statement (ISys statement)
def __init__(self, statement ):
self.stat = statement
def split_down(self):
return self.stat.spl... | 23.932039 | 67 | 0.595538 |
d3b2d6fcc19b5f3b93749b3ee20a091ba26fda0d | 2,120 | py | Python | TrackProblems/migration/env.py | tongpa/TrackProblems | 41e827a21907f0e9e4cc036ec0f96ab379b94544 | [
"Apache-2.0"
] | null | null | null | TrackProblems/migration/env.py | tongpa/TrackProblems | 41e827a21907f0e9e4cc036ec0f96ab379b94544 | [
"Apache-2.0"
] | null | null | null | TrackProblems/migration/env.py | tongpa/TrackProblems | 41e827a21907f0e9e4cc036ec0f96ab379b94544 | [
"Apache-2.0"
] | null | null | null | from __future__ import with_statement
from alembic import context
from sqlalchemy import engine_from_config, pool
from logging.config import fileConfig
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python... | 28.648649 | 69 | 0.706604 |
cd2ff3688bce9a6c9e70026d770f0288cb14774a | 6,675 | py | Python | market_financial.py | Gauravk2610/ShareMarket-Crypto-Currency-Bot- | 4f5fac6bb6a7f51cafb89a12b4d76efffcbde0be | [
"MIT"
] | 4 | 2020-10-27T05:27:04.000Z | 2021-08-13T15:43:05.000Z | market_financial.py | Gauravk2610/ShareMarket-Crypto-Currency-Bot- | 4f5fac6bb6a7f51cafb89a12b4d76efffcbde0be | [
"MIT"
] | null | null | null | market_financial.py | Gauravk2610/ShareMarket-Crypto-Currency-Bot- | 4f5fac6bb6a7f51cafb89a12b4d76efffcbde0be | [
"MIT"
] | 2 | 2021-05-02T23:24:01.000Z | 2021-05-14T05:28:01.000Z | import requests
from bs4 import BeautifulSoup
import json
URL = ["https://www.moneycontrol.com/india/stockpricequote/banks-private-sector/hdfcbank/HDF01", "https://www.moneycontrol.com/india/stockpricequote/banks-private-sector/axisbank/AB16", "https://www.moneycontrol.com/india/stockpricequote/banks-private-sector/... | 73.351648 | 424 | 0.619625 |
60f6e2ed669b99c27a9549ca1a88986b5a644aaf | 12,664 | py | Python | main.py | LucasFernando-aes/MS-DIAL | e18a07b989c311a8c77149c7c45c0be6ec293aed | [
"MIT"
] | 2 | 2021-09-18T10:01:49.000Z | 2021-09-19T09:13:06.000Z | main.py | LucasFernando-aes/MS-DIAL | e18a07b989c311a8c77149c7c45c0be6ec293aed | [
"MIT"
] | null | null | null | main.py | LucasFernando-aes/MS-DIAL | e18a07b989c311a8c77149c7c45c0be6ec293aed | [
"MIT"
] | null | null | null | import os
import time
import argparse
import numpy as np
import torch
import torch.optim as optim
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import seaborn as sns
import umap
from model import DarnMLP, DarnConv, MdmnMLP, MdmnConv, MsdaMLP, MsdaConv, MSDi... | 39.20743 | 153 | 0.599021 |
f743f075b71f34c008fe9a24eeb0107af283da24 | 809 | py | Python | castor_krfe/matrices.py | maremita/CASTOR_KRFE | 2cc01d202640a580f9923ab6ff262f0ba1e1ec0c | [
"MIT"
] | null | null | null | castor_krfe/matrices.py | maremita/CASTOR_KRFE | 2cc01d202640a580f9923ab6ff262f0ba1e1ec0c | [
"MIT"
] | null | null | null | castor_krfe/matrices.py | maremita/CASTOR_KRFE | 2cc01d202640a580f9923ab6ff262f0ba1e1ec0c | [
"MIT"
] | null | null | null | def generateMatrice(data, K_mer, k):
# Variables
X = []
# Generate K-mer dictionnary
X_dict = {}
for i, e in enumerate(K_mer): X_dict[e] = 0;
# Generates X (matrix attributes)
for d in data:
x = []
x_dict = X_dict.copy()
# Count K-mer occurences (with overlaping)
for i in range(0, len(d[1]) - k + 1... | 20.74359 | 64 | 0.637824 |
f04dcf5514965ebbef89cfcee455b91904323660 | 2,887 | py | Python | wc.py | hebi123/tupianpubuliu | baa51245d95a2d8fa74f0c54a00694c956becfa4 | [
"MIT"
] | 137 | 2015-07-18T20:59:41.000Z | 2021-03-02T01:07:05.000Z | wc.py | hebi123/tupianpubuliu | baa51245d95a2d8fa74f0c54a00694c956becfa4 | [
"MIT"
] | null | null | null | wc.py | hebi123/tupianpubuliu | baa51245d95a2d8fa74f0c54a00694c956becfa4 | [
"MIT"
] | 43 | 2015-07-18T23:58:00.000Z | 2019-11-30T03:32:34.000Z | from flask import Blueprint, request, url_for
from models import Image, Runtime, User
import settings
import requests
import hashlib
import xmltodict
import time
import shortuuid
appid = settings.wc_appid
secret = settings.wc_secret
wc_id = settings.wc_id
wc_token = settings.wc_token
wc = Blueprint('wc', __name__, te... | 28.584158 | 119 | 0.625216 |
8c3d0da98976659760ec8482c047a019f2bfd04e | 409 | py | Python | BinarySearch/cyclically_shifted_array_index.py | DomirScire/DataStructs | a7e417df93598743305db95f818def8bdf9fca4c | [
"MIT"
] | 1 | 2021-03-19T01:20:38.000Z | 2021-03-19T01:20:38.000Z | BinarySearchAlgorithm_Usecases/cyclically_shifted_array_index.py | DomirScire/DataStructs | a7e417df93598743305db95f818def8bdf9fca4c | [
"MIT"
] | null | null | null | BinarySearchAlgorithm_Usecases/cyclically_shifted_array_index.py | DomirScire/DataStructs | a7e417df93598743305db95f818def8bdf9fca4c | [
"MIT"
] | null | null | null | # DomirScire
"""
Write a function that determines the index of the smallest element of the cyclically sorted array.
"""
def find(A):
low=0
high=len(A)-1
while low < high:
mid=(low+high)//2
if A[mid] > A[high]:
low = mid + 1
elif A[mid] <= A[high]:
high = mid... | 17.782609 | 98 | 0.535452 |
55b6d9dfbea6afefd44a94ebd9e3253badb171c2 | 593 | py | Python | CTMP/experimentation/perplexity/perplexity.py | buzzer4mornin/CTMP-ThesisProject | 83e54700d0edd8dd141127998dacd7faf11be081 | [
"MIT"
] | 5 | 2021-07-11T13:36:37.000Z | 2022-02-07T22:21:13.000Z | CTMP/experimentation/perplexity/perplexity.py | buzzer4mornin/CTMP-ThesisProject | 83e54700d0edd8dd141127998dacd7faf11be081 | [
"MIT"
] | null | null | null | CTMP/experimentation/perplexity/perplexity.py | buzzer4mornin/CTMP-ThesisProject | 83e54700d0edd8dd141127998dacd7faf11be081 | [
"MIT"
] | null | null | null | import sys
sys.path.insert(0, '../../common')
import perplexity_vb
def compute_perplexities_vb(beta, alpha, eta, max_iter, corpusids_part1,
wordids_1, wordcts_1, wordids_2, wordcts_2):
vb = per_vb.VB(beta, alpha, eta, max_iter)
LD2 = vb.compute_perplexity(corpusids_part1[k], corpusc... | 45.615385 | 111 | 0.634064 |
e0cb7b41ee66b3f8d2658fa315de1a204ecdc8f1 | 1,556 | py | Python | dev/breeze/src/airflow_breeze/utils/ci_group.py | ReadytoRocc/airflow | ec6761a5c0d031221d53ce213c0e42813606c55d | [
"Apache-2.0"
] | 8,092 | 2016-04-27T20:32:29.000Z | 2019-01-05T07:39:33.000Z | dev/breeze/src/airflow_breeze/utils/ci_group.py | ReadytoRocc/airflow | ec6761a5c0d031221d53ce213c0e42813606c55d | [
"Apache-2.0"
] | 2,961 | 2016-05-05T07:16:16.000Z | 2019-01-05T08:47:59.000Z | dev/breeze/src/airflow_breeze/utils/ci_group.py | ReadytoRocc/airflow | ec6761a5c0d031221d53ce213c0e42813606c55d | [
"Apache-2.0"
] | 3,546 | 2016-05-04T20:33:16.000Z | 2019-01-05T05:14:26.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 36.186047 | 125 | 0.723008 |
58a0837d6c483a152a7bf84eea5770323c50391b | 968 | py | Python | tourney/lookup.py | seangeggie/tourney | 405b6abd35d7501a094b3fd4a8d5fd215f073912 | [
"MIT"
] | null | null | null | tourney/lookup.py | seangeggie/tourney | 405b6abd35d7501a094b3fd4a8d5fd215f073912 | [
"MIT"
] | null | null | null | tourney/lookup.py | seangeggie/tourney | 405b6abd35d7501a094b3fd4a8d5fd215f073912 | [
"MIT"
] | null | null | null | class Lookup:
def __init__(self, client):
self.__client = client
self.__all_channels = None
self.__all_users = {}
def channel_id_by_name(self, name):
self.__init_channels()
for channel in self.__all_channels:
if channel["name"] == name:
return channel["id"]
return None
def ... | 27.657143 | 89 | 0.688017 |
25cb2361bcda60d4db0d4d8a077971eb782dbfc9 | 3,324 | py | Python | examples/advanced/ex_forcefield_fit.py | JeschkeLab/DeerLab | ae890ef20a9fec7e5bdf16bf38ba5d52d0445d27 | [
"MIT"
] | 16 | 2020-05-04T09:09:23.000Z | 2022-01-28T13:41:31.000Z | examples/advanced/ex_forcefield_fit.py | JeschkeLab/DeerLab | ae890ef20a9fec7e5bdf16bf38ba5d52d0445d27 | [
"MIT"
] | 188 | 2020-04-23T07:18:12.000Z | 2022-03-29T19:04:12.000Z | examples/advanced/ex_forcefield_fit.py | JeschkeLab/DeerLab | ae890ef20a9fec7e5bdf16bf38ba5d52d0445d27 | [
"MIT"
] | 11 | 2020-05-08T17:33:04.000Z | 2022-03-17T05:15:08.000Z | #%%
"""
Fit a polynomial force field to a dipolar signal
============================================================================
This example shows how to extract a force fields (modelled as a polynomial function)
from a dipolar signal.
"""
#%%
# Import required libraries
import numpy as np
import matplotlib... | 30.777778 | 91 | 0.705475 |
8f25eae21d18e9bb892ac4ddc67c45dae2508638 | 10,110 | py | Python | server/athenian/api/controllers/features/jira/issue_metrics.py | athenianco/athenian-api | dd5556101a8c49703d6b0516e4268b9e8d8eda5b | [
"RSA-MD"
] | 9 | 2020-10-11T22:12:03.000Z | 2022-02-26T02:16:45.000Z | server/athenian/api/controllers/features/jira/issue_metrics.py | athenianco/athenian-api | dd5556101a8c49703d6b0516e4268b9e8d8eda5b | [
"RSA-MD"
] | 246 | 2019-12-05T06:37:30.000Z | 2022-03-29T10:00:07.000Z | server/athenian/api/controllers/features/jira/issue_metrics.py | athenianco/athenian-api | dd5556101a8c49703d6b0516e4268b9e8d8eda5b | [
"RSA-MD"
] | 5 | 2019-12-04T22:38:05.000Z | 2021-02-26T00:50:04.000Z | from datetime import timedelta
from typing import Dict, Sequence, Type
import numpy as np
import pandas as pd
from athenian.api.controllers.features.metric import MetricInt, MetricTimeDelta
from athenian.api.controllers.features.metric_calculator import AverageMetricCalculator, \
BinnedHistogramCalculator, Binned... | 41.434426 | 97 | 0.693274 |
09f195f63254e7792e6f4d056dda0911de4af0f3 | 3,476 | py | Python | hexonet/ispapicli/gui/login.py | angrycaptain19/ispapicli-test | e119d997caf4dff0c746d66824f15d0a4491c9c2 | [
"MIT"
] | null | null | null | hexonet/ispapicli/gui/login.py | angrycaptain19/ispapicli-test | e119d997caf4dff0c746d66824f15d0a4491c9c2 | [
"MIT"
] | 1 | 2021-02-23T12:37:44.000Z | 2021-02-23T12:37:44.000Z | hexonet/ispapicli/gui/login.py | angrycaptain19/ispapicli-test | e119d997caf4dff0c746d66824f15d0a4491c9c2 | [
"MIT"
] | null | null | null | from PyQt5.QtWidgets import QApplication, QMessageBox, QDialog, QGridLayout, QVBoxLayout, QHBoxLayout, QLineEdit, QComboBox, QLabel, QStyleFactory, QGroupBox, QPushButton, QFormLayout, QDesktopWidget
from PyQt5.QtCore import Qt, QSize
from PyQt5.QtGui import QIcon, QMovie
from modules.core import Core
import time
impor... | 32.792453 | 199 | 0.61939 |
8b9fbbd01be0aeb794ec4dd8d471c4c43f9d3fdf | 538 | py | Python | __manifest__.py | rocketgithub/pos_sv | 2786ca31559cd198ad909990edae49926e0059e8 | [
"BSD-3-Clause"
] | null | null | null | __manifest__.py | rocketgithub/pos_sv | 2786ca31559cd198ad909990edae49926e0059e8 | [
"BSD-3-Clause"
] | null | null | null | __manifest__.py | rocketgithub/pos_sv | 2786ca31559cd198ad909990edae49926e0059e8 | [
"BSD-3-Clause"
] | 1 | 2021-01-27T00:20:55.000Z | 2021-01-27T00:20:55.000Z | # -*- coding: utf-8 -*-
{
'name': "Point of Sale para El Salvador",
'summary': """Cambios al Punto de Venta para el manejo en El Salvador""",
'description': """Cambios al Punto de Venta para el manejo en El Salvador""",
'author': "aquíH",
'website': "http://www.aquih.com",
'category': 'Point... | 21.52 | 81 | 0.552045 |
dc9b39c8da78f43a1a48db3990f222d81527e869 | 1,507 | py | Python | tests/functional/scripts/pyi_lib_sphinx.py | yoda-vid/pyinstaller | 419f349dad721a253b19d9c596e251818132d6ba | [
"Apache-2.0"
] | 2 | 2017-02-08T22:22:09.000Z | 2020-10-08T12:28:36.000Z | tests/functional/scripts/pyi_lib_sphinx.py | 416426/pyinstaller | 0f2b2e921433ab5a510c7efdb21d9c1d7cfbc645 | [
"Apache-2.0"
] | 3 | 2020-04-06T15:48:37.000Z | 2021-03-23T10:22:21.000Z | tests/functional/scripts/pyi_lib_sphinx.py | 416426/pyinstaller | 0f2b2e921433ab5a510c7efdb21d9c1d7cfbc645 | [
"Apache-2.0"
] | 4 | 2018-06-04T20:40:37.000Z | 2020-10-13T22:38:40.000Z | #-----------------------------------------------------------------------------
# Copyright (c) 2013-2021, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License (version 2
# or later) with exception for distributing the bootloader.
#
# The full license is in the file COPYING.txt... | 32.76087 | 80 | 0.632382 |
74d5f0304b56fb28906e95a8a656033c02796cc4 | 1,601 | py | Python | Parita_Visualization/code.py | Parita-D/greyatom-python-for-data-science | 8d1954d1490f5a46bafd7463addc662c9a12e7d1 | [
"MIT"
] | null | null | null | Parita_Visualization/code.py | Parita-D/greyatom-python-for-data-science | 8d1954d1490f5a46bafd7463addc662c9a12e7d1 | [
"MIT"
] | null | null | null | Parita_Visualization/code.py | Parita-D/greyatom-python-for-data-science | 8d1954d1490f5a46bafd7463addc662c9a12e7d1 | [
"MIT"
] | null | null | null | # --------------
#Importing header files
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data = pd.read_csv(path)
loan_status = data['Loan_Status'].value_counts()
loan_status.plot(kind='bar', stacked=True)
#Code starts here
# --------------
#Code starts here
property_and_loan = ... | 20.265823 | 84 | 0.678326 |
11a8726d729d650f5a9f64996be76bb34ca9bdbe | 16,835 | py | Python | part_seg/train_multi_gpu_one_hot.py | LinZhuoChen/pointnet2- | 4fb620dab6af5f76e905c88a7f4150eab8d85933 | [
"MIT"
] | 1 | 2018-12-05T15:04:33.000Z | 2018-12-05T15:04:33.000Z | part_seg/train_multi_gpu_one_hot.py | LinZhuoChen/pointnet2- | 4fb620dab6af5f76e905c88a7f4150eab8d85933 | [
"MIT"
] | null | null | null | part_seg/train_multi_gpu_one_hot.py | LinZhuoChen/pointnet2- | 4fb620dab6af5f76e905c88a7f4150eab8d85933 | [
"MIT"
] | null | null | null | import argparse
import subprocess
import tensorflow as tf
import numpy as np
from datetime import datetime
import h5py
import socket
import importlib
import os
import sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = os.path.dirname(BASE_DIR)
sys.path.append(BASE_DIR)
sys.path.append(os.path.j... | 42.83715 | 155 | 0.620255 |
d48cdbf717cb791b1778cdc3f8131ec7793864e6 | 985 | py | Python | io_export_psk_psa/psa/exporter.py | DarklightGames/io_export_psk_psa | a42ebbd2406b36035bd495caf977dae3917699ea | [
"MIT"
] | 12 | 2020-05-03T12:05:21.000Z | 2022-01-18T21:23:17.000Z | io_export_psk_psa/psa/exporter.py | DarklightGames/io_export_psk_psa | a42ebbd2406b36035bd495caf977dae3917699ea | [
"MIT"
] | 10 | 2020-04-07T06:46:49.000Z | 2022-01-19T22:56:42.000Z | io_export_psk_psa/psa/exporter.py | DarklightGames/io_export_psk_psa | a42ebbd2406b36035bd495caf977dae3917699ea | [
"MIT"
] | 3 | 2019-12-21T10:12:59.000Z | 2021-11-04T06:57:31.000Z | from typing import Type
from .data import *
class PsaExporter(object):
def __init__(self, psa: Psa):
self.psa: Psa = psa
# This method is shared by both PSA/K file formats, move this?
@staticmethod
def write_section(fp, name: bytes, data_type: Type[Structure] = None, data: list = None):
... | 35.178571 | 93 | 0.612183 |
4d3147d5245cef3130e0be83a6205b21056bc7f6 | 1,818 | py | Python | python/cartesian_plans/api/viewsets.py | batestin1/django_mars | 44d2e4d28f87e17f90fc0910eb63b55be3639b30 | [
"MIT"
] | null | null | null | python/cartesian_plans/api/viewsets.py | batestin1/django_mars | 44d2e4d28f87e17f90fc0910eb63b55be3639b30 | [
"MIT"
] | null | null | null | python/cartesian_plans/api/viewsets.py | batestin1/django_mars | 44d2e4d28f87e17f90fc0910eb63b55be3639b30 | [
"MIT"
] | null | null | null | #********************************************************************************#
# #
# нεℓℓσ,вαтεs! #... | 55.090909 | 106 | 0.310781 |
3c3d61ebc4c6ef1a7ae0f26938c7a97ae987e541 | 4,345 | py | Python | bibpy/preprocess.py | MisanthropicBit/bibpy | 3195790105544672f622ed893213a627b5280f2b | [
"BSD-3-Clause"
] | 1 | 2021-08-18T13:17:10.000Z | 2021-08-18T13:17:10.000Z | bibpy/preprocess.py | MisanthropicBit/bibpy | 3195790105544672f622ed893213a627b5280f2b | [
"BSD-3-Clause"
] | 7 | 2018-02-18T12:29:20.000Z | 2020-05-14T18:08:48.000Z | bibpy/preprocess.py | MisanthropicBit/bibpy | 3195790105544672f622ed893213a627b5280f2b | [
"BSD-3-Clause"
] | 3 | 2018-02-17T18:27:43.000Z | 2022-01-20T02:28:58.000Z | # -*- coding: utf-8 -*-
"""Conversion functions for preprocessing of bib(la)tex fields."""
import bibpy.name
import calendar
from collections.abc import Iterable
import re
_MONTHNAME_TO_INT = {v: k for k, v in enumerate(calendar.month_name)}
def preprocess_namelist(namelist, **options):
"""Convert a list of na... | 32.425373 | 78 | 0.64626 |
3c450391d51dddbee5166bbda656e91a7287bc2f | 9,295 | py | Python | sdk/python/pulumi_azure_nextgen/batch/v20170101/batch_account.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/batch/v20170101/batch_account.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/batch/v20170101/batch_account.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 47.423469 | 832 | 0.674556 |
24bed64947d4b73b63856ece3cf6bf4f278f136a | 10,224 | py | Python | mayan/apps/linking/api_views.py | PatrickMugayaJoel/Mayan-EDMS | 1a2b4d4fa784a68498f82e0735958dc116b60d46 | [
"Apache-2.0"
] | null | null | null | mayan/apps/linking/api_views.py | PatrickMugayaJoel/Mayan-EDMS | 1a2b4d4fa784a68498f82e0735958dc116b60d46 | [
"Apache-2.0"
] | null | null | null | mayan/apps/linking/api_views.py | PatrickMugayaJoel/Mayan-EDMS | 1a2b4d4fa784a68498f82e0735958dc116b60d46 | [
"Apache-2.0"
] | 1 | 2021-09-01T14:07:47.000Z | 2021-09-01T14:07:47.000Z | from django.shortcuts import get_object_or_404
from mayan.apps.acls.models import AccessControlList
from mayan.apps.documents.models.document_models import Document
from mayan.apps.documents.models.document_type_models import DocumentType
from mayan.apps.documents.permissions import (
permission_document_type_view... | 31.075988 | 93 | 0.670579 |
3867b8b9f9f0faf62da574b2b2f0c6150d667f26 | 29,979 | py | Python | math/draw_scatter.py | alexander-zou/useful-scripts | 7baf5a594437dbe13588d30e1d357e9c19fcc19c | [
"MIT"
] | 8 | 2019-05-21T10:35:35.000Z | 2021-04-09T07:12:35.000Z | math/draw_scatter.py | alexander-zou/useful-scripts | 7baf5a594437dbe13588d30e1d357e9c19fcc19c | [
"MIT"
] | null | null | null | math/draw_scatter.py | alexander-zou/useful-scripts | 7baf5a594437dbe13588d30e1d357e9c19fcc19c | [
"MIT"
] | 5 | 2018-11-07T09:03:24.000Z | 2021-11-15T15:06:03.000Z | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
'''
@File : draw_scatter.py
@Author : alexander.here@gmail.com
@Date : 2020-07-07 15:29 CST(+0800)
@Brief :
'''
import os, sys
import csv
import numpy as np
import warnings
import matplotlib.pyplot as plt
try:
from tkinterdnd2 import TkinterDnD, DND... | 35.689286 | 172 | 0.565362 |
06829aa5926718fd1a52d6287ba6a7446027f18f | 665 | py | Python | Final_project/PostBoard/manage.py | GregTMJ/django-files | dfd2c8da596522b77fb3dfc8089f0d287a94d53b | [
"MIT"
] | 1 | 2021-05-29T21:17:56.000Z | 2021-05-29T21:17:56.000Z | Final_project/PostBoard/manage.py | GregTMJ/django-files | dfd2c8da596522b77fb3dfc8089f0d287a94d53b | [
"MIT"
] | null | null | null | Final_project/PostBoard/manage.py | GregTMJ/django-files | dfd2c8da596522b77fb3dfc8089f0d287a94d53b | [
"MIT"
] | 1 | 2021-06-30T12:43:39.000Z | 2021-06-30T12:43:39.000Z | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'PostBoard.settings')
try:
from django.core.management import execute_from_command_line
except Im... | 28.913043 | 73 | 0.679699 |
2f3b38af0025061acdf6a3bd68f6fa5ef0218384 | 5,650 | bzl | Python | bazel/python_rules.bzl | AustinSchuh/grpc | b7e726a7488f9b0a0a635335ffde1c8995e6ec7a | [
"Apache-2.0"
] | 2 | 2019-05-26T05:00:55.000Z | 2019-06-15T10:18:57.000Z | bazel/python_rules.bzl | AustinSchuh/grpc | b7e726a7488f9b0a0a635335ffde1c8995e6ec7a | [
"Apache-2.0"
] | 1 | 2019-05-21T05:25:15.000Z | 2019-05-21T05:25:15.000Z | bazel/python_rules.bzl | AustinSchuh/grpc | b7e726a7488f9b0a0a635335ffde1c8995e6ec7a | [
"Apache-2.0"
] | 1 | 2019-05-26T05:01:13.000Z | 2019-05-26T05:01:13.000Z | """Generates and compiles Python gRPC stubs from proto_library rules."""
load("@grpc_python_dependencies//:requirements.bzl", "requirement")
load(
"//bazel:protobuf.bzl",
"get_include_protoc_args",
"get_plugin_args",
"get_proto_root",
"proto_path_to_generated_filename",
)
_GENERATED_PROTO_FORMAT =... | 30.213904 | 105 | 0.590265 |
85ed2fd09a50fbc6f64e359b193f28c5ad9a0551 | 39,366 | py | Python | modin/core/io/text/text_file_dispatcher.py | wangxiaoying/modin | 95d71b2bde0ceb40cb1b64fa762b3009a94168dd | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | modin/core/io/text/text_file_dispatcher.py | wangxiaoying/modin | 95d71b2bde0ceb40cb1b64fa762b3009a94168dd | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | modin/core/io/text/text_file_dispatcher.py | wangxiaoying/modin | 95d71b2bde0ceb40cb1b64fa762b3009a94168dd | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Licensed to Modin Development Team under one or more contributor license agreements.
# See the NOTICE file distributed with this work for additional information regarding
# copyright ownership. The Modin Development Team licenses this file to you under the
# Apache License, Version 2.0 (the "License"); you may not u... | 35.819836 | 97 | 0.585302 |
addf9e476f3e3c3cd8c461194ab45812d8ff7030 | 291 | py | Python | coach_app/admin.py | xjati46/maestro_project | 4bef5b1674f2b366a35a9b9fe9f1f3776a44a293 | [
"MIT"
] | null | null | null | coach_app/admin.py | xjati46/maestro_project | 4bef5b1674f2b366a35a9b9fe9f1f3776a44a293 | [
"MIT"
] | 4 | 2021-03-23T13:51:03.000Z | 2021-09-22T19:26:51.000Z | coach_app/admin.py | xjati46/maestro_project | 4bef5b1674f2b366a35a9b9fe9f1f3776a44a293 | [
"MIT"
] | null | null | null | from django.contrib import admin
from coach_app.models import Coach
from import_export.admin import ImportExportModelAdmin
# Register your models here.
@admin.register(Coach)
class CoachAdmin(ImportExportModelAdmin):
list_display = ('__str__', 'id', 'nama_lengkap', 'alamat_kotakab')
| 26.454545 | 70 | 0.797251 |
a27fd3e3097d460a25624ab7443a00a7f8e1f1de | 11,873 | py | Python | v1.0/python_scripts/convolutional.py | mateusgs/FEC_IEEE.802.15.7 | 3177d0cb07d99439f206a58384a30eec91e88e17 | [
"MIT"
] | 1 | 2021-05-25T03:10:53.000Z | 2021-05-25T03:10:53.000Z | v1.0/python_scripts/convolutional.py | mateusgs/FEC_IEEE.802.15.7 | 3177d0cb07d99439f206a58384a30eec91e88e17 | [
"MIT"
] | null | null | null | v1.0/python_scripts/convolutional.py | mateusgs/FEC_IEEE.802.15.7 | 3177d0cb07d99439f206a58384a30eec91e88e17 | [
"MIT"
] | null | null | null | import math
from random import random as random
NUMBER_OF_PERIODS = 450;
def convolutional_encoder(input_arguments = {
"clk": [0, 1],
"rst": [1, 1],
"i_consume": [0, 0],
"i_last_data": [0, 0],
"i_valid": [0, 0],
"i_data": [0, 0]
}):
cnt = 'U';
bit_array = ['U', 'U', 'U', 'U', 'U', 'U'... | 39.184818 | 80 | 0.529773 |
bdbf7b97f922b53fe51d2afe5442337a9e1d92bb | 439 | py | Python | 5-2.py | Holaplace/path_to_python | 8fae2aca8d6da04c39a67514948fdf50e883750a | [
"MIT"
] | 1 | 2019-02-06T01:49:18.000Z | 2019-02-06T01:49:18.000Z | 5-2.py | Holaplace/path_to_python | 8fae2aca8d6da04c39a67514948fdf50e883750a | [
"MIT"
] | null | null | null | 5-2.py | Holaplace/path_to_python | 8fae2aca8d6da04c39a67514948fdf50e883750a | [
"MIT"
] | null | null | null | str_1 = 'apple'
str_2 = 'APPLE'
print(str_1 == str_2)
print(str_1 == str_2.lower())
str_3 = '12'
str_4 = '15'
print(str_3 == str_4)
print(str_3 != str_4)
print(str_3 > str_4)
print(str_3 < str_4)
print(str_3 >= str_4)
print(str_3 <= str_4)
print((str_3 > str_4) and (str_3 < str_4))
print((str_3 > str_4... | 19.954545 | 43 | 0.605923 |
f8bf1cddbe497e9dd06167bf8dd93eb4768f3746 | 504 | py | Python | katas/sum_of_the_first_nth_term.py | kavdi/code-katas | ac329aaac142f8c4e08c45f80e4f0c055eb03cf0 | [
"MIT"
] | null | null | null | katas/sum_of_the_first_nth_term.py | kavdi/code-katas | ac329aaac142f8c4e08c45f80e4f0c055eb03cf0 | [
"MIT"
] | null | null | null | katas/sum_of_the_first_nth_term.py | kavdi/code-katas | ac329aaac142f8c4e08c45f80e4f0c055eb03cf0 | [
"MIT"
] | null | null | null | """This module contains a function that returns the nth sum, the best practice solution was: def series_sum(n):
return '{:.2f}'.format(sum(1.0/(3 * i + 1) for i in range(n)))."""
def series_sum(n):
"""This function returns the nth sum to the 2nd decimal place."""
x = 4
y = 1
if n == 0:
retu... | 29.647059 | 111 | 0.511905 |
0d7f1cdd9c3f3e322580ce3e363064cf0370089a | 2,355 | py | Python | src/Applications/GEOS_Workflow/setup/suite/setup.py | GEOS-ESM/GEOSadas | 8e3665af71eb37c48573c65ed0e9daa5ca429535 | [
"NASA-1.3",
"Apache-2.0"
] | 2 | 2019-09-07T09:00:32.000Z | 2021-03-12T02:25:56.000Z | src/Applications/GEOS_Workflow/setup/suite/setup.py | GEOS-ESM/GEOSadas | 8e3665af71eb37c48573c65ed0e9daa5ca429535 | [
"NASA-1.3",
"Apache-2.0"
] | 81 | 2019-07-05T19:28:50.000Z | 2022-03-04T19:37:47.000Z | src/Applications/GEOS_Workflow/setup/suite/setup.py | GEOS-ESM/GEOSadas | 8e3665af71eb37c48573c65ed0e9daa5ca429535 | [
"NASA-1.3",
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Script to setup a workflow suite
"""
import os
import argparse
import shutil
from datetime import datetime
import ecfsetup
def setup_suite(config_file, time0, n_sixhr_segs, run_dir):
"""main program"""
sanity_check(config_file, time0, n_sixhr_segs, run_dir)
config = ecfset... | 29.810127 | 82 | 0.66879 |
02c079461cba020f41788f8abab950900ad15004 | 2,362 | py | Python | mrec/mf/evaluate.py | imall100/mrec | 764e58170c219dfc33abe50b3e28ff539511a91d | [
"BSD-3-Clause"
] | 392 | 2015-01-11T20:21:38.000Z | 2022-03-29T07:04:05.000Z | mrec/mf/evaluate.py | m-tian/mrec | d299e3b9490703843b041e6585643b7e42e229f0 | [
"BSD-3-Clause"
] | 9 | 2016-01-16T08:09:26.000Z | 2022-03-17T09:48:17.000Z | mrec/mf/evaluate.py | m-tian/mrec | d299e3b9490703843b041e6585643b7e42e229f0 | [
"BSD-3-Clause"
] | 122 | 2015-01-01T14:05:57.000Z | 2021-11-28T23:48:15.000Z | def retrain_recommender(model,dataset):
model.fit(dataset.X)
if __name__ == '__main__':
try:
from sklearn.grid_search import ParameterGrid
except ImportError:
from sklearn.grid_search import IterGrid as ParameterGrid
from optparse import OptionParser
from warp import WARPMFRecommen... | 45.423077 | 143 | 0.628704 |
6970618e4e1222f0b60d4ed4ba8045d19703d692 | 15,507 | py | Python | mitmproxy/certs.py | Abcdefghijklmnopqrstuvwxyzxyz/mitmproxy | 8bdffcf5174f000032ba6df4b243acb14506f5cf | [
"MIT"
] | null | null | null | mitmproxy/certs.py | Abcdefghijklmnopqrstuvwxyzxyz/mitmproxy | 8bdffcf5174f000032ba6df4b243acb14506f5cf | [
"MIT"
] | null | null | null | mitmproxy/certs.py | Abcdefghijklmnopqrstuvwxyzxyz/mitmproxy | 8bdffcf5174f000032ba6df4b243acb14506f5cf | [
"MIT"
] | null | null | null | import os
import ssl
import time
import datetime
import ipaddress
import sys
import typing
import contextlib
from pyasn1.type import univ, constraint, char, namedtype, tag
from pyasn1.codec.der.decoder import decode
from pyasn1.error import PyAsn1Error
import OpenSSL
from mitmproxy.coretypes import serializable
# De... | 31.973196 | 119 | 0.594828 |
36c593cb9dd141435e1233d60189edb3682bcb77 | 5,219 | py | Python | archon_bot/tournament.py | lionel-panhaleux/archon-bot | 8366cf8e624b727f2d21340b3a014e00e31eb89c | [
"MIT"
] | null | null | null | archon_bot/tournament.py | lionel-panhaleux/archon-bot | 8366cf8e624b727f2d21340b3a014e00e31eb89c | [
"MIT"
] | null | null | null | archon_bot/tournament.py | lionel-panhaleux/archon-bot | 8366cf8e624b727f2d21340b3a014e00e31eb89c | [
"MIT"
] | null | null | null | import functools
import itertools
import math
import krcg.seating
@functools.total_ordering
class Score:
def __init__(self, gw=0, vp=0, tp=0):
self.gw = gw
self.vp = vp
self.tp = tp
def __eq__(self, rhs):
return (self.gw, self.vp, self.tp) == (rhs.gw, rhs.vp, rhs.tp)
def... | 38.659259 | 82 | 0.557578 |
b0566967796d5fdeac858cb979b18c588862b6c5 | 6,258 | py | Python | wa2latex.py | pbeck/whatsbook | 6bca6390c88a0f07d54db1d11a7fde546859f280 | [
"MIT"
] | 175 | 2016-02-02T20:29:54.000Z | 2022-03-29T12:11:21.000Z | wa2latex.py | pbeck/whatsbook | 6bca6390c88a0f07d54db1d11a7fde546859f280 | [
"MIT"
] | 7 | 2016-09-28T07:10:27.000Z | 2021-12-16T12:03:50.000Z | wa2latex.py | pbeck/whatsbook | 6bca6390c88a0f07d54db1d11a7fde546859f280 | [
"MIT"
] | 26 | 2016-03-27T18:03:39.000Z | 2020-02-23T10:07:54.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
wa2latex.py
Pelle Beckman, 2016
Reformats data from WhatsApp chat logs for LaTeX.
See medium.com/@pbeck and the article about 'Books from WhatsApp'
for more info. Uses code from socialmediaparse
(github.com/seandolinar/socialmediaparse).
Requires python2.7 and pandas ... | 35.76 | 135 | 0.535634 |
3a8ff0249bc2317ee40d490167c5bdcabe552da9 | 59,156 | py | Python | u4pak.py | benrg/u4pak | 33a5ccd21ecfad2ea29398919537fddd6bd17184 | [
"Unlicense"
] | null | null | null | u4pak.py | benrg/u4pak | 33a5ccd21ecfad2ea29398919537fddd6bd17184 | [
"Unlicense"
] | null | null | null | u4pak.py | benrg/u4pak | 33a5ccd21ecfad2ea29398919537fddd6bd17184 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
# coding=UTF-8
#
# Copyright (c) 2014 Mathias Panzenböck
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
#... | 31.533049 | 203 | 0.702465 |
101657f3441fd1a36b4dc0d51d4f0bd64b88dde1 | 17 | py | Python | eto/bak/__init__.py | bopopescu/local_scda | 40fa4a586f140dc00b8d3f53c732e22e022be338 | [
"MIT"
] | null | null | null | eto/bak/__init__.py | bopopescu/local_scda | 40fa4a586f140dc00b8d3f53c732e22e022be338 | [
"MIT"
] | null | null | null | eto/bak/__init__.py | bopopescu/local_scda | 40fa4a586f140dc00b8d3f53c732e22e022be338 | [
"MIT"
] | 2 | 2020-07-23T21:55:21.000Z | 2021-01-14T12:27:19.000Z | from eto import * | 17 | 17 | 0.764706 |
a50101b64a204cb2b2bc7c3f198e881bef09e972 | 866 | py | Python | build.py | EManual/preview | 8911faec6c8075a8b13676c1479a60108e4df7b9 | [
"Apache-2.0"
] | null | null | null | build.py | EManual/preview | 8911faec6c8075a8b13676c1479a60108e4df7b9 | [
"Apache-2.0"
] | null | null | null | build.py | EManual/preview | 8911faec6c8075a8b13676c1479a60108e4df7b9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#coding=utf-8
import json
import codecs
def read(file):
with codecs.open(file,encoding='utf-8') as f:
content = f.read()
return content
res = json.loads(read('map.json'))
result = '';
with codecs.open('preview.html',encoding='utf-8') as f:
for line in f.readlines():
... | 21.65 | 103 | 0.534642 |
8cf936f57eb8eb042f6facdbe69337b260b2d030 | 11,085 | py | Python | gpgraph/fixation_models.py | harmsm/gpgraph | 4ec3cd2c23b71413a48dda050839f3d8d8d2cf0b | [
"Unlicense"
] | null | null | null | gpgraph/fixation_models.py | harmsm/gpgraph | 4ec3cd2c23b71413a48dda050839f3d8d8d2cf0b | [
"Unlicense"
] | null | null | null | gpgraph/fixation_models.py | harmsm/gpgraph | 4ec3cd2c23b71413a48dda050839f3d8d8d2cf0b | [
"Unlicense"
] | null | null | null | __description__ = \
"""
Collection of fixation models given the fitness values of genotype i and j.
Functions take pains to avoid infinite outputs given finite inputs.
"""
__author__ = "Zach Sailer, Michael J. Harms"
__date__ = "2021-09-01"
import numpy as np
def strong_selection_weak_mutation(fitness_i, fitness_j):
... | 32.795858 | 121 | 0.572124 |
1d369ea7bc6ff16ee6af710e77943ad9e968e77c | 4,406 | py | Python | actions/update_source.py | StackStorm-Exchange/sumologic | 2c84d38616a55dfd7061521920e11693f36e2f3b | [
"Apache-2.0"
] | 1 | 2018-01-24T22:37:28.000Z | 2018-01-24T22:37:28.000Z | actions/update_source.py | StackStorm-Exchange/sumologic | 2c84d38616a55dfd7061521920e11693f36e2f3b | [
"Apache-2.0"
] | null | null | null | actions/update_source.py | StackStorm-Exchange/sumologic | 2c84d38616a55dfd7061521920e11693f36e2f3b | [
"Apache-2.0"
] | 3 | 2019-01-29T00:13:10.000Z | 2021-01-28T17:47:21.000Z | #!/usr/bin/env python
from lib.actions import BaseAction
class SumoUpdateSource(BaseAction):
def run(self,
collector_id=None,
source_id=None,
timezone=None,
category=None,
descr=None,
force_timezone=None,
hostname=None,
... | 39.339286 | 95 | 0.564458 |
1b91cc7d0ab7c4db07d3bbcf353bc109f39cc4c2 | 97 | py | Python | src/language/grammar/__init__.py | ArielTriana/battle-sim | 75205bbff62024d28b42fd25ce268440ecc6f009 | [
"MIT"
] | 2 | 2021-11-23T15:47:07.000Z | 2022-03-03T01:38:19.000Z | src/language/grammar/__init__.py | ArielTriana/battle-sim | 75205bbff62024d28b42fd25ce268440ecc6f009 | [
"MIT"
] | 11 | 2021-11-05T15:47:39.000Z | 2022-02-07T05:05:11.000Z | src/language/grammar/__init__.py | ArielTriana/battle-sim | 75205bbff62024d28b42fd25ce268440ecc6f009 | [
"MIT"
] | 1 | 2021-12-07T00:00:48.000Z | 2021-12-07T00:00:48.000Z | from .grammar import Grammar, Terminal, Production, NonTerminal, Symbol
from pathlib import Path
| 32.333333 | 71 | 0.824742 |
de70633f5c2af6913a14dd235fd967ea471ebabe | 741 | py | Python | emission/net/usercache/formatters/android/incident.py | Andrew-Tan/e-mission-server | 91d59bee86e63d803e401f10f4b6a2502effedda | [
"BSD-3-Clause"
] | null | null | null | emission/net/usercache/formatters/android/incident.py | Andrew-Tan/e-mission-server | 91d59bee86e63d803e401f10f4b6a2502effedda | [
"BSD-3-Clause"
] | 1 | 2017-08-31T19:54:16.000Z | 2017-08-31T19:54:16.000Z | emission/net/usercache/formatters/android/incident.py | Andrew-Tan/e-mission-server | 91d59bee86e63d803e401f10f4b6a2502effedda | [
"BSD-3-Clause"
] | null | null | null | import logging
import arrow
import emission.net.usercache.formatters.common as fc
import emission.storage.decorations.local_date_queries as ecsdlq
import attrdict as ad
def format(entry):
formatted_entry = ad.AttrDict()
formatted_entry["_id"] = entry["_id"]
formatted_entry.user_id = entry.user_id
... | 29.64 | 103 | 0.740891 |
daa10c4bc8e4d4f75043cb031d083d923d378ff8 | 3,007 | py | Python | setup.py | khaledhosny/gftools | fa9dd7d93072919780e6dcf56dd8863f6e320779 | [
"Apache-2.0"
] | null | null | null | setup.py | khaledhosny/gftools | fa9dd7d93072919780e6dcf56dd8863f6e320779 | [
"Apache-2.0"
] | null | null | null | setup.py | khaledhosny/gftools | fa9dd7d93072919780e6dcf56dd8863f6e320779 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Copyright 2013 The Font Bakery Authors.
# Copyright 2017 The Google Fonts Tools Authors.
#
# 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/licens... | 34.170455 | 93 | 0.607915 |
a24f75e7be8ec51a094375bda4e03a309f95982f | 8,587 | py | Python | pysnmp/SWPRIMGMT-DES3200-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/SWPRIMGMT-DES3200-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/SWPRIMGMT-DES3200-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module SWPRIMGMT-DES3200-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SWPRIMGMT-DES3200-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:24:56 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (def... | 122.671429 | 1,757 | 0.727612 |
a339c5f0fd823a1b940553fb920644c783844a53 | 448 | py | Python | survey_app_repo/survey/migrations/0007_auto_20200103_2059.py | devbkhadka/survey_app | 51c4a4844e57f771d1157be8a8307552d390df67 | [
"Apache-1.1"
] | 1 | 2020-01-12T06:48:28.000Z | 2020-01-12T06:48:28.000Z | survey_app_repo/survey/migrations/0007_auto_20200103_2059.py | devbkhadka/survey_app | 51c4a4844e57f771d1157be8a8307552d390df67 | [
"Apache-1.1"
] | null | null | null | survey_app_repo/survey/migrations/0007_auto_20200103_2059.py | devbkhadka/survey_app | 51c4a4844e57f771d1157be8a8307552d390df67 | [
"Apache-1.1"
] | null | null | null | # Generated by Django 2.2.9 on 2020-01-03 15:14
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('survey', '0006_auto_20200103_2040'),
]
operations = [
migrations.AlterField(
model_name='question',
name='question_t... | 23.578947 | 104 | 0.602679 |
e8c2ae6db64ddb05d8094662afa383647a5f2f1f | 1,173 | py | Python | get_data.py | UVG-Teams/tesla-bot-launch-analysis | f951e974b280359a50d97edf9a45158b25bd7ba8 | [
"MIT"
] | null | null | null | get_data.py | UVG-Teams/tesla-bot-launch-analysis | f951e974b280359a50d97edf9a45158b25bd7ba8 | [
"MIT"
] | null | null | null | get_data.py | UVG-Teams/tesla-bot-launch-analysis | f951e974b280359a50d97edf9a45158b25bd7ba8 | [
"MIT"
] | null | null | null | import tweepy, json, xlsxwriter
try:
access_token = '723857363392851969-43F1DgxrLdiEfaMn5KubWt1VI7FkRHa'
access_token_secret = ''
consumer_key = 'kjLXsYD27YLPR4r5KWP4GeHLT'
consumer_secret = ''
auth= tweepy.OAuthHandler(consumer_key,consumer_secret)
auth.set_access_token(access_token,access_to... | 29.325 | 74 | 0.682012 |
a78a41ae6924af5d009ecdf7450d897d22fb6954 | 1,437 | py | Python | 229_majorityElementII.py | Echo226/LeetCode | 19d753eaed9b048722d6c23e86c5f977ef20edff | [
"MIT"
] | null | null | null | 229_majorityElementII.py | Echo226/LeetCode | 19d753eaed9b048722d6c23e86c5f977ef20edff | [
"MIT"
] | null | null | null | 229_majorityElementII.py | Echo226/LeetCode | 19d753eaed9b048722d6c23e86c5f977ef20edff | [
"MIT"
] | null | null | null | '''
Method1: Brute Force
Method2: Boyer-Moore Algorithm
Author: Xinting
Date : 2019-11-04
'''
# Brute Force
class Solution:
def majorityElement(self, nums: List[int]) -> List[int]:
res = []
for num1 in nums:
if num1 not in res and sum(1 for num2 in nums if num2 ==... | 27.634615 | 96 | 0.504523 |
d9cc0d372f1940ad9c5ee1ab6187cb788e187fd8 | 22,990 | py | Python | electrum/coinchooser.py | AvianNetwork/electrum | 36c99526a0caed5fadf49db25db94717f96e39c0 | [
"MIT"
] | 1 | 2022-02-21T03:17:41.000Z | 2022-02-21T03:17:41.000Z | electrum/coinchooser.py | AvianNetwork/electrum | 36c99526a0caed5fadf49db25db94717f96e39c0 | [
"MIT"
] | null | null | null | electrum/coinchooser.py | AvianNetwork/electrum | 36c99526a0caed5fadf49db25db94717f96e39c0 | [
"MIT"
] | 1 | 2022-02-28T19:42:24.000Z | 2022-02-28T19:42:24.000Z | #!/usr/bin/env python
#
# Electrum - lightweight Avian client
# Copyright (C) 2015 kyuupichan@gmail
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without ... | 45.98 | 115 | 0.632231 |
bf14ed31d791898cdeb724eb28f20b4779421d6a | 1,848 | py | Python | cloudentries/gcp/query/constants.py | CloudChef/CloudEntries | a890e2eb96cc537db131e7ca8a0e6e1edc0b6ebd | [
"Apache-2.0"
] | null | null | null | cloudentries/gcp/query/constants.py | CloudChef/CloudEntries | a890e2eb96cc537db131e7ca8a0e6e1edc0b6ebd | [
"Apache-2.0"
] | null | null | null | cloudentries/gcp/query/constants.py | CloudChef/CloudEntries | a890e2eb96cc537db131e7ca8a0e6e1edc0b6ebd | [
"Apache-2.0"
] | 1 | 2021-03-26T05:45:00.000Z | 2021-03-26T05:45:00.000Z | # Copyright (c) 2021 Qianyun, Inc. All rights reserved.
GCP_PUBLIC_PROJECT = {
'centos-cloud': ['centos-6', 'centos-7', 'centos-8'],
'cos-cloud': ['cos-65-lts', 'cos-69-lts', 'cos-73-lts', 'cos-77-lts', 'cos-81-lts', 'cos-beta', 'cos-dev',
'cos-stable'],
'debian-cloud': ['debian-7-backpor... | 25.315068 | 114 | 0.53355 |
5528ac38da4b91a90f7e89c03adb1efdb407a344 | 841 | py | Python | tests/test_url.py | artcom-net/pytgram | 445c7d83892357127c4319d514e1160232fd8e3c | [
"MIT"
] | null | null | null | tests/test_url.py | artcom-net/pytgram | 445c7d83892357127c4319d514e1160232fd8e3c | [
"MIT"
] | 1 | 2022-02-11T03:39:57.000Z | 2022-02-11T03:39:57.000Z | tests/test_url.py | artcom-net/pytgram | 445c7d83892357127c4319d514e1160232fd8e3c | [
"MIT"
] | null | null | null | from unittest import TestCase
from pytgram.url import get_url
class TestURL(TestCase):
def test_method(self):
url = get_url(token='some_token', method='some_method')
self.assertEqual(url,
'https://api.telegram.org/botsome_token/some_method')
def test_file(self):
... | 32.346154 | 78 | 0.617122 |
1df4b1273460f2b25a0da391abeadf33a24a8abc | 39 | py | Python | run.py | beenje/aiolegomac | 4bf780749e018750c5644fea3e84f09444c43d3d | [
"BSD-2-Clause"
] | 1 | 2017-12-29T14:24:34.000Z | 2017-12-29T14:24:34.000Z | run.py | beenje/aiolegomac | 4bf780749e018750c5644fea3e84f09444c43d3d | [
"BSD-2-Clause"
] | 5 | 2021-03-18T20:23:21.000Z | 2022-03-11T23:16:41.000Z | run.py | beenje/aiolegomac | 4bf780749e018750c5644fea3e84f09444c43d3d | [
"BSD-2-Clause"
] | null | null | null | from aiolegomac.app import run
run()
| 7.8 | 30 | 0.74359 |
dcbac2c454eb79f91257137af60206adcbe4db66 | 2,738 | py | Python | keras/regularizers.py | lvapeab/keras | aa7174cd9977e317d546adb458b1f4e64d0c92c3 | [
"MIT"
] | 259 | 2016-02-09T09:06:29.000Z | 2021-07-29T05:27:40.000Z | keras/regularizers.py | lvapeab/keras | aa7174cd9977e317d546adb458b1f4e64d0c92c3 | [
"MIT"
] | 50 | 2016-02-24T14:46:57.000Z | 2020-01-20T07:34:19.000Z | keras/regularizers.py | MarcBS/keras | 82ee0908e5fab22e63434cceb60a680bc991b0c6 | [
"MIT"
] | 94 | 2016-02-17T20:59:27.000Z | 2021-04-19T08:18:16.000Z | """Built-in regularizers.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import six
from . import backend as K
from .utils.generic_utils import serialize_keras_object
from .utils.generic_utils import deserialize_keras_object
class Regularizer(object):... | 24.890909 | 108 | 0.628926 |
5debf7789a6a58db32e2ecde7f77aef90f88423f | 2,997 | py | Python | fapistrano/plugins/git.py | liwushuo/fapistrano | 2a31aad01a04d7ea9108dc6f95aee9a53290459f | [
"MIT"
] | 18 | 2016-03-25T09:40:20.000Z | 2022-02-23T02:09:50.000Z | fapistrano/plugins/git.py | liwushuo/fapistrano | 2a31aad01a04d7ea9108dc6f95aee9a53290459f | [
"MIT"
] | null | null | null | fapistrano/plugins/git.py | liwushuo/fapistrano | 2a31aad01a04d7ea9108dc6f95aee9a53290459f | [
"MIT"
] | 3 | 2016-03-22T07:41:15.000Z | 2021-02-25T04:27:53.000Z | # -*- coding: utf-8 -*-
from fabric.api import cd, env, local, task, abort
from fabric.contrib.files import exists
from ..utils import green_alert, red_alert, yellow_alert, run
from .. import signal, configuration
def init():
configuration.setdefault('git_shallow_clone', 1)
configuration.setdefault('branch',... | 28.542857 | 147 | 0.64698 |
479d7bc0b152763bd9b7da2bec9bf4a7eb0d4269 | 3,235 | py | Python | tests/core/test_http_utils.py | overstory/ml-monitoring-plugin | c79e04ff0654d3739585d261dfd83a7c5f867923 | [
"Apache-2.0"
] | 5 | 2017-01-05T13:16:55.000Z | 2020-06-13T07:51:37.000Z | tests/core/test_http_utils.py | overstory/ml-monitoring-plugin | c79e04ff0654d3739585d261dfd83a7c5f867923 | [
"Apache-2.0"
] | 30 | 2016-11-30T16:45:12.000Z | 2017-05-25T14:57:49.000Z | tests/core/test_http_utils.py | overstory/ml-monitoring-plugin | c79e04ff0654d3739585d261dfd83a7c5f867923 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2016 MarkLogic 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#
#
# U... | 42.012987 | 117 | 0.461515 |
cc5b561e4125c49a522125ffad028dc74b9f454a | 677 | py | Python | praktikum/gpu.py | fahmikebel/praktikum-python | 6270b97f0ec50afc317a35a8da37f1b8a98754fa | [
"CC0-1.0"
] | null | null | null | praktikum/gpu.py | fahmikebel/praktikum-python | 6270b97f0ec50afc317a35a8da37f1b8a98754fa | [
"CC0-1.0"
] | null | null | null | praktikum/gpu.py | fahmikebel/praktikum-python | 6270b97f0ec50afc317a35a8da37f1b8a98754fa | [
"CC0-1.0"
] | null | null | null | import numpy as np
import cupy as cp
import time
# Numpy dan CPU
s = time.time()
x_cpu = np.ones((1000, 1000, 1000))
e = time.time()
print("Waktu yang diperlukan untuk CPU :", e - s)
# CuPy dan GPU
s = time.time()
x_gpu = cp.ones((1000, 1000, 1000))
cp.cuda.Stream.null.synchronize()
e = time.time()
print("... | 24.178571 | 50 | 0.644018 |
8bfa990c3a241a7a7adf61827e31e6fc77a4c664 | 2,090 | py | Python | utils.py | lanargh/FaceMaskDetection | 70966fa655a3baf0af06b07ea5b17a4ecb6f5a36 | [
"MIT"
] | null | null | null | utils.py | lanargh/FaceMaskDetection | 70966fa655a3baf0af06b07ea5b17a4ecb6f5a36 | [
"MIT"
] | null | null | null | utils.py | lanargh/FaceMaskDetection | 70966fa655a3baf0af06b07ea5b17a4ecb6f5a36 | [
"MIT"
] | null | null | null | import os
import random
from os.path import basename
from shutil import copyfile
from zipfile import ZipFile
def genlabels(labels):
f = open("labels.txt","w+")
f.write("__ignore__\r\n")
f.write("_background_\r\n")
for label in labels:
f.write(label + "\r\n")
f.close()
def splitdata(inpu... | 40.192308 | 156 | 0.626316 |
347fb5e77d49f5eddc4abc03bcffb902101d7ec4 | 26,070 | py | Python | vectorbt/indicators/basic.py | RileyMShea/vectorbt | 92ce571ce9fd0667f2994a2c922fb4cfcde10c88 | [
"Apache-2.0"
] | 1 | 2021-01-15T00:02:11.000Z | 2021-01-15T00:02:11.000Z | vectorbt/indicators/basic.py | RileyMShea/vectorbt | 92ce571ce9fd0667f2994a2c922fb4cfcde10c88 | [
"Apache-2.0"
] | null | null | null | vectorbt/indicators/basic.py | RileyMShea/vectorbt | 92ce571ce9fd0667f2994a2c922fb4cfcde10c88 | [
"Apache-2.0"
] | null | null | null | """Indicators built with `vectorbt.indicators.factory.IndicatorFactory`.
```python-repl
>>> import vectorbt as vbt
>>> from datetime import datetime
>>> start = datetime(2019, 3, 1)
>>> end = datetime(2019, 9, 1)
>>> cols = ['Open', 'High', 'Low', 'Close', 'Volume']
>>> ohlcv = vbt.utils.data.download("BTC-USD", star... | 31.63835 | 125 | 0.606521 |
0ee2947fab369299b5bd4a101cc7bdb31fc61c02 | 2,397 | py | Python | setup.py | AdamDS/urlAPIs | 90ca3d4a1320651cffe7d00c97ecf5d307bbeba9 | [
"MIT"
] | 1 | 2019-08-07T03:56:59.000Z | 2019-08-07T03:56:59.000Z | setup.py | AdamDS/urlAPIs | 90ca3d4a1320651cffe7d00c97ecf5d307bbeba9 | [
"MIT"
] | 4 | 2017-01-19T00:04:50.000Z | 2019-06-21T09:20:15.000Z | setup.py | AdamDS/urlAPIs | 90ca3d4a1320651cffe7d00c97ecf5d307bbeba9 | [
"MIT"
] | 8 | 2016-06-08T22:52:46.000Z | 2019-09-13T22:07:25.000Z | #https://docs.python.org/2/distutils/examples.html
from distutils.core import setup
version = "0.9.5"
setup( \
name = 'BioMine' ,
version = version ,
author = 'Adam D Scott' ,
author_email = 'adam@adamscottphd.com' ,
maintainer = 'Adam D Scott' ,
maintainer_email = 'adam@adamscottphd.com' ,
url = 'https://gith... | 39.295082 | 170 | 0.693367 |
e9074d8fc43b2125ec284bf8992954694e845825 | 4,005 | py | Python | pml/data/loader.py | ashadhaz/pml | 8d9261c8885a82d795c89de23f53ff7d05ef9495 | [
"MIT"
] | 2 | 2018-03-21T16:26:16.000Z | 2020-10-27T02:45:11.000Z | pml/data/loader.py | ashadhaz/pml | 8d9261c8885a82d795c89de23f53ff7d05ef9495 | [
"MIT"
] | null | null | null | pml/data/loader.py | ashadhaz/pml | 8d9261c8885a82d795c89de23f53ff7d05ef9495 | [
"MIT"
] | 4 | 2015-02-25T16:19:05.000Z | 2021-02-06T06:36:46.000Z | # Copyright (C) 2012 David Rusk
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distr... | 40.454545 | 84 | 0.694881 |
19bb27c66066dd4440ccd890ca1cf60e4ff94544 | 1,026 | py | Python | pytoolkit/dl.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | 26 | 2018-12-03T23:02:56.000Z | 2020-08-07T06:33:21.000Z | pytoolkit/dl.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | null | null | null | pytoolkit/dl.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | 5 | 2019-08-10T11:10:59.000Z | 2020-11-18T02:39:37.000Z | """DeepLearning(主にKeras)関連。"""
import os
import pathlib
import subprocess
import numpy as np
def get_gpu_count():
"""GPU数の取得。"""
if "CUDA_VISIBLE_DEVICES" in os.environ:
gpus = os.environ["CUDA_VISIBLE_DEVICES"].strip()
if gpus in ("-1", "none"):
return 0
return len(np.uni... | 26.307692 | 79 | 0.598441 |
44479dba69b2808f45c408ea1ed1c73b32583835 | 2,143 | py | Python | test/integration/test_graph_service.py | amarvin/py2neo | 19ba35644725da47e036ed1079c634f89128856e | [
"Apache-2.0"
] | 545 | 2017-01-06T07:27:01.000Z | 2021-06-10T01:08:23.000Z | test/integration/test_graph_service.py | amarvin/py2neo | 19ba35644725da47e036ed1079c634f89128856e | [
"Apache-2.0"
] | 370 | 2016-12-25T15:47:37.000Z | 2021-06-17T06:09:43.000Z | test/integration/test_graph_service.py | amarvin/py2neo | 19ba35644725da47e036ed1079c634f89128856e | [
"Apache-2.0"
] | 133 | 2016-12-21T19:39:28.000Z | 2021-05-26T14:26:02.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Copyright 2011-2021, Nigel Small
#
# 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
#
# Unle... | 27.126582 | 74 | 0.729818 |
549c46a5a27baecdaad891ba5cff823b8432e55f | 12,189 | py | Python | dreem_learning_open/models/modulo_net/modules/bn_lstm.py | Dreem-Organization/dreem-learning-open | 5f03f93e814fa5bf74b45e9c6c99be38ce29c347 | [
"MIT"
] | 44 | 2019-12-02T13:55:18.000Z | 2022-03-06T12:13:25.000Z | dreem_learning_open/models/modulo_net/modules/bn_lstm.py | Dreem-Organization/dreem-learning-open | 5f03f93e814fa5bf74b45e9c6c99be38ce29c347 | [
"MIT"
] | 3 | 2019-12-06T12:07:09.000Z | 2021-10-19T08:40:39.000Z | dreem_learning_open/models/modulo_net/modules/bn_lstm.py | Dreem-Organization/dreem-learning-open | 5f03f93e814fa5bf74b45e9c6c99be38ce29c347 | [
"MIT"
] | 9 | 2019-12-11T20:03:35.000Z | 2021-12-05T05:59:41.000Z | """Implementation of batch-normalized LSTM."""
"""Very Strongly inspired by https://github.com/pytorch/benchmark/blob/master/rnns/benchmarks/models
/bnlstm.py"""
import torch
from torch import nn
from torch.autograd import Variable
from torch.nn import functional, init
from torch.nn.init import eye_
def reverse(lst):... | 37.275229 | 100 | 0.592912 |
114f297757232a880d1e8a0da5ce88c5e7a2d0f5 | 649 | py | Python | google_cloud_compute/komand_google_cloud_compute/actions/list_firewalls/action.py | killstrelok/insightconnect-plugins | 911358925f4233ab273dbd8172e8b7b9188ebc01 | [
"MIT"
] | null | null | null | google_cloud_compute/komand_google_cloud_compute/actions/list_firewalls/action.py | killstrelok/insightconnect-plugins | 911358925f4233ab273dbd8172e8b7b9188ebc01 | [
"MIT"
] | null | null | null | google_cloud_compute/komand_google_cloud_compute/actions/list_firewalls/action.py | killstrelok/insightconnect-plugins | 911358925f4233ab273dbd8172e8b7b9188ebc01 | [
"MIT"
] | null | null | null | import insightconnect_plugin_runtime
from .schema import ListFirewallsInput, ListFirewallsOutput, Input, Component
# Custom imports below
class ListFirewalls(insightconnect_plugin_runtime.Action):
def __init__(self):
super(self.__class__, self).__init__(
name='list_firewalls',
d... | 28.217391 | 77 | 0.671803 |
25c62f499a3dbcdf39a5440ebc3732f1047cb668 | 3,263 | py | Python | src/process/infrastructure/connection/queue/QueueProvider.py | PythonDataIntegrator/pythondataintegrator | 6167778c36c2295e36199ac0d4d256a4a0c28d7a | [
"MIT"
] | 14 | 2020-12-19T15:06:13.000Z | 2022-01-12T19:52:17.000Z | src/process/infrastructure/connection/queue/QueueProvider.py | PythonDataIntegrator/pythondataintegrator | 6167778c36c2295e36199ac0d4d256a4a0c28d7a | [
"MIT"
] | 43 | 2021-01-06T22:05:22.000Z | 2022-03-10T10:30:30.000Z | src/process/infrastructure/connection/queue/QueueProvider.py | PythonDataIntegrator/pythondataintegrator | 6167778c36c2295e36199ac0d4d256a4a0c28d7a | [
"MIT"
] | 4 | 2020-12-18T23:10:09.000Z | 2021-04-02T13:03:12.000Z | from injector import inject
from domain.connection.services.ConnectionSecretService import ConnectionSecretService
from domain.connection.services.ConnectionServerService import ConnectionServerService
from infrastructure.connection.queue.connectors.KafkaConnector import KafkaConnector
from infrastructure.connection.q... | 54.383333 | 130 | 0.684952 |
3b2f5ebe469003e24c17dd74f307fece2c81295d | 466 | py | Python | 00_Original/21_Objektorientierung/vererbung_abstrakt_3.py | felixdittrich92/Python3_book | cd0e2b55aa72c51927d347b70199fb9ed928e06f | [
"MIT"
] | null | null | null | 00_Original/21_Objektorientierung/vererbung_abstrakt_3.py | felixdittrich92/Python3_book | cd0e2b55aa72c51927d347b70199fb9ed928e06f | [
"MIT"
] | null | null | null | 00_Original/21_Objektorientierung/vererbung_abstrakt_3.py | felixdittrich92/Python3_book | cd0e2b55aa72c51927d347b70199fb9ed928e06f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
class A:
def __init__(self):
self.X = 1337
print("Konstruktor von A")
def m(self):
print("Methode m von A. Es ist self.X =", self.X)
class B(A):
def __init__(self):
super().__init__()
self.Y = 1... | 17.923077 | 57 | 0.484979 |
d03ee3223e52da45d0fce8e1df994eddd1c53740 | 713 | py | Python | code/installation/THP/tools/make_thumbs_texture.py | CreativeInquiry/TeenieHarrisProject | c7c2e1730ade29ed086a4bd21d5d21315fcde5e5 | [
"MIT"
] | null | null | null | code/installation/THP/tools/make_thumbs_texture.py | CreativeInquiry/TeenieHarrisProject | c7c2e1730ade29ed086a4bd21d5d21315fcde5e5 | [
"MIT"
] | 9 | 2019-03-27T18:42:41.000Z | 2019-03-31T17:04:24.000Z | code/installation/THP/tools/make_thumbs_texture.py | CreativeInquiry/TeenieHarrisProject | c7c2e1730ade29ed086a4bd21d5d21315fcde5e5 | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from glob import glob
#59278
import sys
print(sys.maxsize)
W = 256
n = 256
path = "F:/LINGDONG/Teenie_Harris_JPG640/Teenie_Harris_JPG640/"
files = [path+x.split("/")[-1].split(".")[0]+".jpeg" for x in open("../bin/data/canonical_filename_order.txt",'r').read().split("\n")]
thumbs = np.zer... | 22.28125 | 134 | 0.614306 |
de6ebe4a2530555a1bdb6f9ad87c58c1d81ce43e | 4,057 | py | Python | src/sdf_tools/utils_2d.py | hujiawei-sjtu/sdf_tools | deefe5f03c062b8f312d35b3d30202f7462b3000 | [
"BSD-2-Clause"
] | 159 | 2017-04-27T00:30:13.000Z | 2022-03-16T01:35:19.000Z | src/sdf_tools/utils_2d.py | hujiawei-sjtu/sdf_tools | deefe5f03c062b8f312d35b3d30202f7462b3000 | [
"BSD-2-Clause"
] | 21 | 2017-08-22T23:45:30.000Z | 2021-03-04T01:59:59.000Z | src/sdf_tools/utils_2d.py | hujiawei-sjtu/sdf_tools | deefe5f03c062b8f312d35b3d30202f7462b3000 | [
"BSD-2-Clause"
] | 36 | 2017-03-16T23:01:20.000Z | 2022-03-29T12:50:23.000Z | import numpy as np
import pysdf_tools
def compute_sdf_and_gradient(grid_world, sdf_resolution, sdf_origin, frame='world'):
"""
:param grid_world: a 2d numpy array of the world full of 0 and 1
:param sdf_resolution: float in meters
:param sdf_origin: size 2 np.array (vector) in meters
:param frame... | 37.564815 | 119 | 0.701504 |
2fcd02813b374373a72f83b5ddb8083caddccac1 | 4,385 | py | Python | temboo/core/Library/Basecamp/CreateMessage.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/Basecamp/CreateMessage.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/Basecamp/CreateMessage.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | # -*- coding: utf-8 -*-
###############################################################################
#
# CreateMessage
# Creates a new message under a specified project.
#
# Python versions 2.6, 2.7, 3.x
#
# Copyright 2014, Temboo Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may no... | 40.601852 | 188 | 0.680958 |
1a7952c85a6a26c04c630bb5e73d7003764f9b11 | 10,702 | py | Python | python/test/sentencepiece_test.py | yuslzq/00_sentencepiece | 42b9a86c51b237eb7ece657fb961f011c4abfeff | [
"Apache-2.0"
] | null | null | null | python/test/sentencepiece_test.py | yuslzq/00_sentencepiece | 42b9a86c51b237eb7ece657fb961f011c4abfeff | [
"Apache-2.0"
] | null | null | null | python/test/sentencepiece_test.py | yuslzq/00_sentencepiece | 42b9a86c51b237eb7ece657fb961f011c4abfeff | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright 2018 Google 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 ... | 43.504065 | 105 | 0.700243 |
d71beb1ecac899af6a43ab7f5cc507734a3be372 | 38,568 | py | Python | scripts/common_test.py | EishaMazhar/oppia | ab4f3cf20764b27f567798e4b1184471aaf7f73b | [
"Apache-2.0"
] | 1 | 2020-09-30T17:55:05.000Z | 2020-09-30T17:55:05.000Z | scripts/common_test.py | gitter-badger/oppia | 7d8e659264582d7ce74bc6c139e597b82bca0e04 | [
"Apache-2.0"
] | 1 | 2020-05-27T06:08:17.000Z | 2020-05-27T06:08:17.000Z | scripts/common_test.py | gitter-badger/oppia | 7d8e659264582d7ce74bc6c139e597b82bca0e04 | [
"Apache-2.0"
] | 1 | 2018-03-20T14:12:31.000Z | 2018-03-20T14:12:31.000Z | #
# Copyright 2019 The Oppia 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 applicabl... | 42.243154 | 93 | 0.641283 |
1a53a1c1d62c832b60de24c0e23166fe9204d006 | 1,348 | py | Python | torch/ao/quantization/fx/backend_config_dict/tensorrt.py | lsh838384/Pytorch | 90b722c5441ec99bf5bd84ee645eece367de5664 | [
"Intel"
] | null | null | null | torch/ao/quantization/fx/backend_config_dict/tensorrt.py | lsh838384/Pytorch | 90b722c5441ec99bf5bd84ee645eece367de5664 | [
"Intel"
] | null | null | null | torch/ao/quantization/fx/backend_config_dict/tensorrt.py | lsh838384/Pytorch | 90b722c5441ec99bf5bd84ee645eece367de5664 | [
"Intel"
] | null | null | null | import torch
from .observation_type import ObservationType
def get_tensorrt_backend_config_dict():
""" Get the backend config dictionary for tensorrt backend
NOTE: Current api will change in the future, it's just to unblock experimentation for
new backends, please don't use it right now.
"""
weight... | 32.095238 | 89 | 0.64095 |
7e675b2b2d2641fdb44a5c0f2c0b0f49de02b11e | 15,339 | py | Python | nova/conductor/tasks/migrate.py | cloudscale-ch/nova | 4b4e005c639204f2c680eda61131a6930379d70e | [
"Apache-2.0"
] | 1 | 2018-05-27T09:38:17.000Z | 2018-05-27T09:38:17.000Z | nova/conductor/tasks/migrate.py | ljzjohnson/nova | 87e1951a1b8c03b9ecdf8f75610d14690b61f272 | [
"Apache-2.0"
] | null | null | null | nova/conductor/tasks/migrate.py | ljzjohnson/nova | 87e1951a1b8c03b9ecdf8f75610d14690b61f272 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 47.785047 | 79 | 0.639416 |
b1049831e7362587cc380d24c76ee5eef1ea3fb7 | 10,020 | py | Python | sdk/python/tests/sdk/test_importer.py | tims/feast | 3499b6576b55afd5b37fa1b9a38c817ed6aa1b1a | [
"Apache-2.0"
] | null | null | null | sdk/python/tests/sdk/test_importer.py | tims/feast | 3499b6576b55afd5b37fa1b9a38c817ed6aa1b1a | [
"Apache-2.0"
] | null | null | null | sdk/python/tests/sdk/test_importer.py | tims/feast | 3499b6576b55afd5b37fa1b9a38c817ed6aa1b1a | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Feast Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 38.098859 | 91 | 0.588224 |
ff5625e817fa09c0723249851af708113349383d | 3,379 | py | Python | deep_signature/linalg/affine_transform.py | xenomarz/deep-signature | f831f05971727c5d00cf3b5c556b6a8b658048df | [
"MIT"
] | null | null | null | deep_signature/linalg/affine_transform.py | xenomarz/deep-signature | f831f05971727c5d00cf3b5c556b6a8b658048df | [
"MIT"
] | null | null | null | deep_signature/linalg/affine_transform.py | xenomarz/deep-signature | f831f05971727c5d00cf3b5c556b6a8b658048df | [
"MIT"
] | null | null | null | # numpy
import numpy
def _validate_eigen_values_ratio(A, min_eig_value_ratio, max_eig_value_ratio, min_eig_value, max_eig_value):
w, v = numpy.linalg.eig(A)
r1 = w[0] / w[1]
r2 = w[1] / w[0]
r = numpy.maximum(r1, r2)
# return ((r > min_eig_value_ratio) and (r < max_eig_value_ratio))
return ((m... | 52.796875 | 189 | 0.710269 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.