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3d2ce2c966a31e97ee5b7a66b2aeabb6f1778574 | 35 | py | Python | arcpyext/mapping/_cim/__init__.py | PeterReyne/arcpyext | 9307115da8f0b6a30e2ca741fb6a7d09e54fd0f3 | [
"BSD-3-Clause"
] | 11 | 2015-05-01T04:08:30.000Z | 2019-09-21T05:00:58.000Z | arcpyext/mapping/_cim/__init__.py | PeterReyne/arcpyext | 9307115da8f0b6a30e2ca741fb6a7d09e54fd0f3 | [
"BSD-3-Clause"
] | 14 | 2015-06-23T02:46:44.000Z | 2019-10-11T00:46:11.000Z | arcpyext/mapping/_cim/__init__.py | PeterReyne/arcpyext | 9307115da8f0b6a30e2ca741fb6a7d09e54fd0f3 | [
"BSD-3-Clause"
] | 9 | 2015-02-27T05:25:42.000Z | 2020-01-19T05:43:14.000Z | from .pro_project import ProProject | 35 | 35 | 0.885714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d2d9019566fcc96f253a9e2a983330775a08ac2 | 3,474 | py | Python | o3/operators/filter_logs_to_percentage_operator.py | carlba/o3 | 999ff1b06ef9c7a5bf220a3e840c4a42dc81956a | [
"Unlicense"
] | null | null | null | o3/operators/filter_logs_to_percentage_operator.py | carlba/o3 | 999ff1b06ef9c7a5bf220a3e840c4a42dc81956a | [
"Unlicense"
] | 1 | 2019-01-27T11:04:56.000Z | 2019-01-27T11:04:56.000Z | o3/operators/filter_logs_to_percentage_operator.py | carlba/o3 | 999ff1b06ef9c7a5bf220a3e840c4a42dc81956a | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""Custom operator for filtering out a percentage of input log files."""
import os
import glob
from airflow.exceptions import AirflowException, AirflowSkipException
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from o3.utils import filter_to_perce... | 39.033708 | 80 | 0.61399 | 3,145 | 0.905296 | 0 | 0 | 1,119 | 0.322107 | 0 | 0 | 1,062 | 0.305699 |
3d2f723ddb0882b15b4375b0ad2b7ffa05e4cedb | 17,541 | py | Python | alibExp.py | wicknec/WalArt | b23488b4e421699155976d5e726d1c7a906c3243 | [
"MIT"
] | 2 | 2016-02-02T11:33:27.000Z | 2020-07-28T13:28:25.000Z | alibExp.py | wicknec/WalArt | b23488b4e421699155976d5e726d1c7a906c3243 | [
"MIT"
] | null | null | null | alibExp.py | wicknec/WalArt | b23488b4e421699155976d5e726d1c7a906c3243 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
"""
alibExp
=======================
Qt4 interface for alib explorer
To browse alib in a more user-friendly way than simple text
Item.data(1,-1) stores its data, i.e. a str or another alib
"""
# NOTE: the actual command documentation is collected from docstrings of the
# commands and is appen... | 35.580122 | 104 | 0.595462 | 15,048 | 0.857876 | 0 | 0 | 0 | 0 | 0 | 0 | 3,466 | 0.197594 |
3d2f8979ac8231da6f04ccba44cc761dc5cb64c8 | 2,445 | py | Python | test/test_batch.py | ASemakov/ob-pipelines | ea475cd2c34ae2eccbf59563fe7caea06266c450 | [
"Apache-2.0"
] | 11 | 2017-01-22T22:08:45.000Z | 2020-03-10T20:17:14.000Z | test/test_batch.py | BeKitzur/ob-pipelines | 8ee4ebd5803d72d0babce25b13399c9cdd0f686e | [
"Apache-2.0"
] | null | null | null | test/test_batch.py | BeKitzur/ob-pipelines | 8ee4ebd5803d72d0babce25b13399c9cdd0f686e | [
"Apache-2.0"
] | 6 | 2017-01-23T01:24:33.000Z | 2018-07-18T13:30:06.000Z | """
Integration test for the Luigi wrapper of AWS Batch
Requires:
- boto3 package
- Amazon AWS credentials discoverable by boto3 (e.g., by using ``aws configure``
from awscli_)
- An enabled AWS Batch job queue configured to run on a compute environment.
Written and maintained by Jake Feala (@jfeala) for Outlier Bio ... | 25.46875 | 91 | 0.67771 | 1,582 | 0.647035 | 0 | 0 | 200 | 0.0818 | 0 | 0 | 743 | 0.303885 |
3d30c11f1ede17efd698bce52b1da5e9569d559a | 456 | py | Python | reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/tests/conftest.py | jpmarques19/tensorflwo-test | 0ff8b06e0415075c7269820d080284a42595bb2e | [
"Apache-2.0"
] | 5 | 2019-01-19T23:53:35.000Z | 2022-01-29T14:04:31.000Z | reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/tests/conftest.py | jpmarques19/tensorflwo-test | 0ff8b06e0415075c7269820d080284a42595bb2e | [
"Apache-2.0"
] | 4 | 2020-09-26T01:30:01.000Z | 2022-02-10T02:20:35.000Z | reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/src/markov/tests/conftest.py | jpmarques19/tensorflwo-test | 0ff8b06e0415075c7269820d080284a42595bb2e | [
"Apache-2.0"
] | 7 | 2020-03-04T22:23:51.000Z | 2021-07-13T14:05:46.000Z | import pytest
from markov.tests import test_constant
@pytest.fixture
def aws_region():
return test_constant.AWS_REGION
@pytest.fixture
def model_metadata_s3_key():
return test_constant.MODEL_METADATA_S3_KEY
@pytest.fixture
def reward_function_s3_source():
return test_constant.REWARD_FUNCTION_S3_SOURCE
@... | 19.826087 | 50 | 0.809211 | 0 | 0 | 0 | 0 | 393 | 0.861842 | 0 | 0 | 0 | 0 |
3d319597951dce7996b3f7f4aeae76d89320c801 | 2,716 | py | Python | ROS/my_initials.py | Vishwajeetiitb/Autumn-of-Automation | bd8c78662734f867b6aa6fd9179a12913387a01c | [
"MIT"
] | null | null | null | ROS/my_initials.py | Vishwajeetiitb/Autumn-of-Automation | bd8c78662734f867b6aa6fd9179a12913387a01c | [
"MIT"
] | null | null | null | ROS/my_initials.py | Vishwajeetiitb/Autumn-of-Automation | bd8c78662734f867b6aa6fd9179a12913387a01c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
import math
import os
from turtlesim.msg import Pose
import time
os.system("rosrun")
def callback(msg):
global current_angle
current_angle = msg.theta
# print(msg)
def move():
# Starts a new node
rospy.init_node('robot_cleaner'... | 28 | 82 | 0.645066 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 248 | 0.091311 |
3d321cb4dea8943fb087339fe2547eeaba4b5805 | 2,144 | py | Python | Assignment-04/Question-03/mpi_ping_pong.py | gnu-user/mcsc-6030-assignments | 42825cdbc4532d9da6ebdba549b65fb1e36456a0 | [
"MIT"
] | null | null | null | Assignment-04/Question-03/mpi_ping_pong.py | gnu-user/mcsc-6030-assignments | 42825cdbc4532d9da6ebdba549b65fb1e36456a0 | [
"MIT"
] | null | null | null | Assignment-04/Question-03/mpi_ping_pong.py | gnu-user/mcsc-6030-assignments | 42825cdbc4532d9da6ebdba549b65fb1e36456a0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
###############################################################################
#
# Assignment 4, Question 3 solution for MPI ping-pong timings to calcualate
# alpha and beta, implemented in Python using MPI.
#
# Copyright (C) 2015, Jonathan Gillett (100437638)
# All rights reserved.
#
##########... | 32 | 79 | 0.567631 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 933 | 0.435168 |
3d33211ca1584c7787f1e93ba17778c1a7d518eb | 2,286 | py | Python | app/monitoring/logging_config.py | robmarkcole/python-fastapi-aws-lambda-container | 56a676f4c0bccce10fd2533daba3ace0201a1bb3 | [
"Apache-2.0"
] | 15 | 2020-12-29T23:14:33.000Z | 2022-03-24T03:56:34.000Z | app/monitoring/logging_config.py | robmarkcole/python-fastapi-aws-lambda-container | 56a676f4c0bccce10fd2533daba3ace0201a1bb3 | [
"Apache-2.0"
] | 3 | 2021-09-11T00:41:55.000Z | 2022-03-24T05:51:17.000Z | app/monitoring/logging_config.py | robmarkcole/python-fastapi-aws-lambda-container | 56a676f4c0bccce10fd2533daba3ace0201a1bb3 | [
"Apache-2.0"
] | 5 | 2021-09-10T23:53:41.000Z | 2022-03-25T11:31:24.000Z | import os
import uuid
import logging
import json
from json import JSONEncoder
from pythonjsonlogger import jsonlogger
from datetime import datetime
from logging.config import dictConfig
# Custom JSON encoder which enforce standard ISO 8601 format, UUID format
class ModelJsonEncoder(JSONEncoder):
def default(self,... | 30.078947 | 94 | 0.587927 | 1,210 | 0.529309 | 0 | 0 | 0 | 0 | 0 | 0 | 591 | 0.25853 |
3d332e20398ab4a054c4523a1136617bf5854f9a | 1,459 | py | Python | FPAIT/lib/logger/utils.py | D-X-Y/MSPLD-2018 | 71a6a75830ac84c7a861e63367ad3ace991fae77 | [
"MIT"
] | 63 | 2018-07-12T10:36:25.000Z | 2019-04-26T11:30:09.000Z | FPAIT/lib/logger/utils.py | D-X-Y/MSPLD-2018 | 71a6a75830ac84c7a861e63367ad3ace991fae77 | [
"MIT"
] | null | null | null | FPAIT/lib/logger/utils.py | D-X-Y/MSPLD-2018 | 71a6a75830ac84c7a861e63367ad3ace991fae77 | [
"MIT"
] | 8 | 2018-07-14T02:47:12.000Z | 2019-06-03T07:39:13.000Z | import time, sys
import numpy as np
def time_for_file():
ISOTIMEFORMAT='%d-%h-at-%H-%M-%S'
return '{}'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
def time_string():
ISOTIMEFORMAT='%Y-%m-%d %X'
string = '[{}]'.format(time.strftime( ISOTIMEFORMAT, time.gmtime(time.time()) ))
return strin... | 28.057692 | 112 | 0.666895 | 481 | 0.329678 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 0.127485 |
3d34dd340fc3d7607de14667552ba62b48a6ce54 | 1,888 | py | Python | hoomd/hpmc/test-py/test_ghost_layer.py | PetersResearchGroup/PCND | 584768cc683a6df0152ead69b567d05b781aab2b | [
"BSD-3-Clause"
] | null | null | null | hoomd/hpmc/test-py/test_ghost_layer.py | PetersResearchGroup/PCND | 584768cc683a6df0152ead69b567d05b781aab2b | [
"BSD-3-Clause"
] | null | null | null | hoomd/hpmc/test-py/test_ghost_layer.py | PetersResearchGroup/PCND | 584768cc683a6df0152ead69b567d05b781aab2b | [
"BSD-3-Clause"
] | null | null | null | from __future__ import print_function
from __future__ import division
from hoomd import *
from hoomd import hpmc
import math
import unittest
context.initialize()
class test_ghost_layer(unittest.TestCase):
def test_implicit(self):
# setup the MC integration
system = init.read_snapshot(data.make_sna... | 33.714286 | 121 | 0.613877 | 1,650 | 0.873941 | 0 | 0 | 0 | 0 | 0 | 0 | 216 | 0.114407 |
3d34e6acbf5b6084146e881a817272a730156e45 | 525 | py | Python | performanceplatform/collector/ga/plugins/load_plugin.py | alphagov/performanceplatform-collector | de68ab4aa500c31e436e050fa1268fa928c522a5 | [
"MIT"
] | 3 | 2015-05-01T14:57:28.000Z | 2016-04-08T12:53:59.000Z | performanceplatform/collector/ga/plugins/load_plugin.py | alphagov/performanceplatform-collector | de68ab4aa500c31e436e050fa1268fa928c522a5 | [
"MIT"
] | 15 | 2015-02-11T11:43:02.000Z | 2021-03-24T10:54:35.000Z | performanceplatform/collector/ga/plugins/load_plugin.py | alphagov/performanceplatform-collector | de68ab4aa500c31e436e050fa1268fa928c522a5 | [
"MIT"
] | 7 | 2015-05-04T16:56:02.000Z | 2021-04-10T19:42:35.000Z | """
load_plugin.py
--------------
Responsible for taking plugin strings and returning plugin callables.
"""
# For the linter
import __builtin__
import performanceplatform.collector.ga.plugins
def load_plugins(plugin_names):
return [load_plugin(plugin_name) for plugin_name in plugin_names]
def load_plugin(pl... | 21 | 79 | 0.744762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 169 | 0.321905 |
3d36068bd29dc63f314be2d8a4d427fb6770b25d | 26,243 | py | Python | src/Python/Visualization/FrogReconstruction.py | ajpmaclean/vtk-examples | 1a55fc8c6af67a3c07791807c7d1ec0ab97607a2 | [
"Apache-2.0"
] | 81 | 2020-08-10T01:44:30.000Z | 2022-03-23T06:46:36.000Z | src/Python/Visualization/FrogReconstruction.py | ajpmaclean/vtk-examples | 1a55fc8c6af67a3c07791807c7d1ec0ab97607a2 | [
"Apache-2.0"
] | 2 | 2020-09-12T17:33:52.000Z | 2021-04-15T17:33:09.000Z | src/Python/Visualization/FrogReconstruction.py | ajpmaclean/vtk-examples | 1a55fc8c6af67a3c07791807c7d1ec0ab97607a2 | [
"Apache-2.0"
] | 27 | 2020-08-17T07:09:30.000Z | 2022-02-15T03:44:58.000Z | #!/usr/bin/env python
import collections
from pathlib import Path
# noinspection PyUnresolvedReferences
import vtkmodules.vtkInteractionStyle
# noinspection PyUnresolvedReferences
import vtkmodules.vtkRenderingOpenGL2
from vtkmodules.vtkCommonColor import vtkNamedColors
from vtkmodules.vtkCommonCore import vtkLookupT... | 31.093602 | 121 | 0.622185 | 4,791 | 0.182556 | 0 | 0 | 177 | 0.006744 | 0 | 0 | 6,854 | 0.261164 |
3d3611984ad47f38b9bcaf5c70b8693991e55438 | 3,202 | py | Python | mfr/extensions/tabular/libs/stdlib_tools.py | yacchin1205/RDM-modular-file-renderer | 5bd18175a681d21e7be7fe0238132335a1cd8ded | [
"Apache-2.0"
] | 36 | 2015-08-31T20:24:22.000Z | 2021-12-17T17:02:44.000Z | mfr/extensions/tabular/libs/stdlib_tools.py | yacchin1205/RDM-modular-file-renderer | 5bd18175a681d21e7be7fe0238132335a1cd8ded | [
"Apache-2.0"
] | 190 | 2015-01-02T06:22:01.000Z | 2022-01-19T11:27:03.000Z | mfr/extensions/tabular/libs/stdlib_tools.py | yacchin1205/RDM-modular-file-renderer | 5bd18175a681d21e7be7fe0238132335a1cd8ded | [
"Apache-2.0"
] | 47 | 2015-01-27T15:45:22.000Z | 2021-01-27T22:43:03.000Z | import re
import csv
from mfr.extensions.tabular.exceptions import EmptyTableError, TabularRendererError
from mfr.extensions.tabular import utilities
def csv_stdlib(fp):
"""Read and convert a csv file to JSON format using the python standard library
:param fp: File pointer object
:return: tuple of table ... | 33.705263 | 98 | 0.605559 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,221 | 0.381324 |
3d36845f210b13d26d7504e09092d4846041c87f | 4,191 | py | Python | code/master_web/app/template_support.py | glenn-edgar/lacima_ranch_cloud | 0827bdd497295c931cf1a06e97880009773e77be | [
"MIT"
] | null | null | null | code/master_web/app/template_support.py | glenn-edgar/lacima_ranch_cloud | 0827bdd497295c931cf1a06e97880009773e77be | [
"MIT"
] | null | null | null | code/master_web/app/template_support.py | glenn-edgar/lacima_ranch_cloud | 0827bdd497295c931cf1a06e97880009773e77be | [
"MIT"
] | null | null | null | #
#
# This is Support for Drawing Bullet Charts
#
#
#
#
#
#
#
'''
This is the return json value to the javascript front end
{ "canvasName":"canvas1","featuredColor":"Green", "featuredMeasure":14.5,
"qualScale1":14.5, "qualScale1Color":"Black","titleText":"Step 1" },
... | 37.756757 | 124 | 0.504653 | 3,394 | 0.809831 | 0 | 0 | 0 | 0 | 0 | 0 | 1,226 | 0.292532 |
3d372653470996da64ee3dcad6250a21dbd2e6ea | 52 | py | Python | zucchini/graders/exceptions.py | dbecker1/zucchini | 47eb9a40b47bb1b131dcfd0073596ccf8816562c | [
"Apache-2.0"
] | 3 | 2018-03-27T18:09:54.000Z | 2021-04-08T03:03:55.000Z | zucchini/graders/exceptions.py | dbecker1/zucchini | 47eb9a40b47bb1b131dcfd0073596ccf8816562c | [
"Apache-2.0"
] | 337 | 2017-12-17T13:22:26.000Z | 2022-03-28T02:05:09.000Z | zucchini/graders/exceptions.py | dbecker1/zucchini | 47eb9a40b47bb1b131dcfd0073596ccf8816562c | [
"Apache-2.0"
] | 7 | 2018-01-10T18:46:26.000Z | 2020-10-17T17:47:07.000Z | class InvalidGraderConfigError(Exception):
pass
| 17.333333 | 42 | 0.807692 | 51 | 0.980769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d373999e9b389d4982c3184efb41a30e1a5425d | 1,108 | py | Python | datapack/data/scripts/custom/8871_gve/__init__.py | DigitalCoin1/L2SPERO | f9ec069804d7bf13f9c4bfb508db2eb6ce37ab94 | [
"Unlicense"
] | null | null | null | datapack/data/scripts/custom/8871_gve/__init__.py | DigitalCoin1/L2SPERO | f9ec069804d7bf13f9c4bfb508db2eb6ce37ab94 | [
"Unlicense"
] | null | null | null | datapack/data/scripts/custom/8871_gve/__init__.py | DigitalCoin1/L2SPERO | f9ec069804d7bf13f9c4bfb508db2eb6ce37ab94 | [
"Unlicense"
] | null | null | null | # Author ProGramMoS, Scoria Dev
# Version 0.2b
import sys
from com.l2jfrozen.gameserver.model.actor.instance import L2PcInstance
from com.l2jfrozen.util.database import L2DatabaseFactory
from com.l2jfrozen.gameserver.model.quest import State
from com.l2jfrozen.gameserver.model.quest import QuestState
from com.l2jfrozen... | 25.767442 | 77 | 0.731949 | 531 | 0.479242 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 0.122744 |
3d37fed769b12cfb4e9da6c616fc01c8b6b51490 | 3,740 | py | Python | src/hypergol/base_data.py | hypergol/hypergol | 0beee71c8f72d517ef376030baff9c840a2f7eeb | [
"MIT"
] | 49 | 2020-07-09T10:22:25.000Z | 2022-02-21T16:55:34.000Z | src/hypergol/base_data.py | hypergol/hypergol | 0beee71c8f72d517ef376030baff9c840a2f7eeb | [
"MIT"
] | 16 | 2020-08-18T17:06:05.000Z | 2022-02-19T16:30:04.000Z | src/hypergol/base_data.py | hypergol/hypergol | 0beee71c8f72d517ef376030baff9c840a2f7eeb | [
"MIT"
] | 3 | 2020-07-16T08:42:09.000Z | 2021-03-06T15:09:13.000Z | import json
import base64
import pickle
from hypergol.repr import Repr
class NoIdException(Exception):
pass
class BaseData(Repr):
"""
Base class for all domain objects.
Extends the Repr convenience base class that provides printing facilities.
Provides to_data and from_data serialisation inte... | 37.029703 | 217 | 0.625936 | 3,662 | 0.979144 | 0 | 0 | 515 | 0.137701 | 0 | 0 | 1,739 | 0.464973 |
3d392bdfd33f424fff8045fe8d11d2926903d55e | 829 | py | Python | examples/spark-function.py | Hedingber/mlrun | e2269718fcc7caa7e1aa379ac28495830b45f9da | [
"Apache-2.0"
] | 1 | 2021-02-17T08:12:33.000Z | 2021-02-17T08:12:33.000Z | examples/spark-function.py | Hedingber/mlrun | e2269718fcc7caa7e1aa379ac28495830b45f9da | [
"Apache-2.0"
] | 1 | 2020-12-31T14:36:29.000Z | 2020-12-31T14:36:29.000Z | examples/spark-function.py | Hedingber/mlrun | e2269718fcc7caa7e1aa379ac28495830b45f9da | [
"Apache-2.0"
] | 1 | 2021-08-30T21:43:38.000Z | 2021-08-30T21:43:38.000Z | # Pyspark example called by mlrun_spark_k8s.ipynb
from pyspark.sql import SparkSession
from mlrun import get_or_create_ctx
# Acquire MLRun context
mlctx = get_or_create_ctx("spark-function")
# Get MLRun parameters
mlctx.logger.info("!@!@!@!@!@ Getting env variables")
READ_OPTIONS = mlctx.get_param("data_sources")
... | 26.741935 | 85 | 0.772014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 348 | 0.419783 |
3d39a4a34099b547fd394be7429e0efce238f402 | 3,654 | py | Python | scripts/create_dataset.py | maxrousseau/dl-anesthesia | e5de2ecfc9d9e954f3ee36eedb13332589dfc27e | [
"MIT"
] | null | null | null | scripts/create_dataset.py | maxrousseau/dl-anesthesia | e5de2ecfc9d9e954f3ee36eedb13332589dfc27e | [
"MIT"
] | null | null | null | scripts/create_dataset.py | maxrousseau/dl-anesthesia | e5de2ecfc9d9e954f3ee36eedb13332589dfc27e | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import os, glob
import datetime
import xmltodict as xd
import numpy as np
import pandas as pd
import h5py
import matplotlib
import matplotlib.pyplot as plt
from sklearn import preprocessing
# lets make a little data set for fun...
mh_dir = os.path.abspath('./db/mh_data/')
mh_cases = glob.glob(os... | 24.36 | 84 | 0.570881 | 39 | 0.010673 | 0 | 0 | 0 | 0 | 0 | 0 | 1,170 | 0.320197 |
3d39d78b8b90f5a0e60b1cd9c3435a778082fd09 | 636 | py | Python | ossdbtoolsservice/admin/contracts/__init__.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 33 | 2019-05-27T13:04:35.000Z | 2022-03-17T13:33:05.000Z | ossdbtoolsservice/admin/contracts/__init__.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 31 | 2019-06-10T01:55:47.000Z | 2022-03-09T07:27:49.000Z | ossdbtoolsservice/admin/contracts/__init__.py | DaeunYim/pgtoolsservice | b7e548718d797883027b2caee2d4722810b33c0f | [
"MIT"
] | 25 | 2019-05-13T18:39:24.000Z | 2021-11-16T03:07:33.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 53 | 103 | 0.575472 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 434 | 0.68239 |
3d3a5919d0773f6fa55679eeb76000e332ce88f7 | 38,534 | py | Python | whacc/image_tools.py | hireslab/whacc | e0ccfe4ee784609cacd4cf62a17192687a5dff51 | [
"MIT"
] | 1 | 2021-05-27T00:34:46.000Z | 2021-05-27T00:34:46.000Z | whacc/image_tools.py | hireslab/whacc | e0ccfe4ee784609cacd4cf62a17192687a5dff51 | [
"MIT"
] | null | null | null | whacc/image_tools.py | hireslab/whacc | e0ccfe4ee784609cacd4cf62a17192687a5dff51 | [
"MIT"
] | null | null | null | import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import numpy as np
import h5py
import copy
import time
import os
from whacc import utils
def isnotebook():
try:
c = str(get_ipython().__class__)
shell = get_ipython().__class__.__name__
if 'colab' in c:
... | 40.223382 | 173 | 0.602896 | 11,626 | 0.301708 | 0 | 0 | 0 | 0 | 0 | 0 | 16,060 | 0.416775 |
3d3c48e30dea59b0f2566984a39668435562eafb | 10,007 | py | Python | tests/texts/declerations.py | Intsights/flake8-intsights | b3785a3be855e05090641696e0648486107dba72 | [
"MIT"
] | 12 | 2020-02-18T17:47:57.000Z | 2021-07-13T10:23:40.000Z | tests/texts/declerations.py | Intsights/flake8-intsights | b3785a3be855e05090641696e0648486107dba72 | [
"MIT"
] | 7 | 2020-02-25T12:14:11.000Z | 2020-12-01T08:14:58.000Z | tests/texts/declerations.py | Intsights/flake8-intsights | b3785a3be855e05090641696e0648486107dba72 | [
"MIT"
] | 1 | 2020-07-01T15:49:28.000Z | 2020-07-01T15:49:28.000Z | declerations_test_text_001 = '''
list1 = [
1,
]
'''
declerations_test_text_002 = '''
list1 = [
1,
2,
]
'''
declerations_test_text_003 = '''
tuple1 = (
1,
)
'''
declerations_test_text_004 = '''
tuple1 = (
1,
2,
)
'''
declerations_test_text_005 = '''
set1 = {
1,
}
'''
declerations_test_text_00... | 13.098168 | 47 | 0.540122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,737 | 0.673229 |
3d3d066b8c43e8060d3eeba6ff779ba80c45bf11 | 1,437 | py | Python | data/preprocess_original.py | Nstats/pytorch_senti_analysis_ch | bb01cc508c37638670b26259a6ee35c4e857f2b6 | [
"Apache-2.0"
] | 1 | 2019-09-29T02:26:14.000Z | 2019-09-29T02:26:14.000Z | data/preprocess_original.py | Nstats/pytorch_senti_analysis_ch | bb01cc508c37638670b26259a6ee35c4e857f2b6 | [
"Apache-2.0"
] | 1 | 2021-06-02T00:24:55.000Z | 2021-06-02T00:24:55.000Z | data/preprocess_original.py | Nstats/pytorch_senti_analysis_ch | bb01cc508c37638670b26259a6ee35c4e857f2b6 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import os
import random
train_df = pd.read_csv("./data/Train_DataSet.csv")
train_label_df = pd.read_csv("./data/Train_DataSet_Label.csv")
test_df = pd.read_csv("./data/Test_DataSet.csv")
train_df = train_df.merge(train_label_df, on='id', how='left')
train_df['label'] = train_df['label'].fillna(-1)
... | 33.418605 | 75 | 0.636047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 0.256055 |
3d3d56ea2024a56958685b39631e50240545177c | 304 | py | Python | tools/load_save.py | zs-liu/Pytorch-AS | 4e41f96522cce7a35f6625bdbe3863c0b74ee0ca | [
"MIT"
] | null | null | null | tools/load_save.py | zs-liu/Pytorch-AS | 4e41f96522cce7a35f6625bdbe3863c0b74ee0ca | [
"MIT"
] | null | null | null | tools/load_save.py | zs-liu/Pytorch-AS | 4e41f96522cce7a35f6625bdbe3863c0b74ee0ca | [
"MIT"
] | null | null | null | import torch
def save_checkpoint(save_dir, model, optimizer):
torch.save({'model_state_dict': model.state_dict(),
'optimizer_state_dict': optimizer.state_dict()}, save_dir)
return True
def load_checkpoint(load_dir):
checkpoint = torch.load(load_dir)
return checkpoint
| 23.384615 | 74 | 0.713816 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.131579 |
3d3ee67b67a8537dbe3c66ff4a5cb8e8c72ee707 | 706 | py | Python | support/send_broadcast_message.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | support/send_broadcast_message.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | support/send_broadcast_message.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | from xlrd import open_workbook
from scheduler.smsclient import SMSClient
filename = "/Users/twer/Downloads/SchoolsSMSGhana.xlsx"
workbook = open_workbook(filename)
organization_number = "1902"
area_code = "233"
sheets_ = workbook.sheets()[0]
sms_client = SMSClient()
print 'Start'
for row_num in range(1, sheets_.nrow... | 32.090909 | 92 | 0.756374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.169972 |
3d41aeb36fe4c0327c92ba2fb851e5ac557d9a0b | 960 | py | Python | typhon/oem/error.py | jmollard/typhon | 68d5ae999c340b60aa69e095b336d438632ad55c | [
"MIT"
] | null | null | null | typhon/oem/error.py | jmollard/typhon | 68d5ae999c340b60aa69e095b336d438632ad55c | [
"MIT"
] | null | null | null | typhon/oem/error.py | jmollard/typhon | 68d5ae999c340b60aa69e095b336d438632ad55c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Functions to estimate the different sources of retrieval error.
"""
from typhon.oem import common
__all__ = [
'smoothing_error',
'retrieval_noise',
]
def smoothing_error(x, x_a, A):
"""Return the smoothing error through the averaging kernel.
Parameters:
x (ndarra... | 23.414634 | 67 | 0.644792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 730 | 0.760417 |
3d41b25f4537cebd266bfc51daa90f8c3d503433 | 16,155 | py | Python | nicos/core/spm.py | ebadkamil/nicos | 0355a970d627aae170c93292f08f95759c97f3b5 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 12 | 2019-11-06T15:40:36.000Z | 2022-01-01T16:23:00.000Z | nicos/core/spm.py | ebadkamil/nicos | 0355a970d627aae170c93292f08f95759c97f3b5 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 4 | 2019-11-08T10:18:16.000Z | 2021-01-13T13:07:29.000Z | nicos/core/spm.py | ISISComputingGroup/nicos | 94cb4d172815919481f8c6ee686f21ebb76f2068 | [
"CC-BY-3.0",
"Apache-2.0",
"CC-BY-4.0"
] | 6 | 2020-01-11T10:52:30.000Z | 2022-02-25T12:35:23.000Z | # -*- coding: utf-8 -*-
# *****************************************************************************
# NICOS, the Networked Instrument Control System of the MLZ
# Copyright (c) 2009-2021 by the NICOS contributors (see AUTHORS)
#
# This program is free software; you can redistribute it and/or modify it under
# the t... | 32.50503 | 79 | 0.532281 | 13,618 | 0.842959 | 0 | 0 | 80 | 0.004952 | 0 | 0 | 3,413 | 0.211266 |
3d42299242b673c35a88a568c3b956825f9d2deb | 514 | py | Python | 2_Regression/ARX_Regression/empirical_id.py | abe-mart/arduino | 1bbd88b6bcc3bb9092c259a071c8f3237c391c6a | [
"Apache-2.0"
] | 1 | 2020-06-23T16:28:34.000Z | 2020-06-23T16:28:34.000Z | 2_Regression/ARX_Regression/empirical_id.py | abe-mart/arduino | 1bbd88b6bcc3bb9092c259a071c8f3237c391c6a | [
"Apache-2.0"
] | null | null | null | 2_Regression/ARX_Regression/empirical_id.py | abe-mart/arduino | 1bbd88b6bcc3bb9092c259a071c8f3237c391c6a | [
"Apache-2.0"
] | 1 | 2020-07-22T17:43:30.000Z | 2020-07-22T17:43:30.000Z | import numpy as np
import apm_id as arx
######################################################
# Configuration
######################################################
# number of terms
ny = 2 # output coefficients
nu = 1 # input coefficients
# number of inputs
ni = 1
# number of outputs
no = 1
# load data ... | 25.7 | 55 | 0.470817 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 368 | 0.715953 |
3d42e0a9f4a4977092186d96df6c6ef12958272d | 75,635 | py | Python | setup.py | Alexhuszagh/toolchains | 6428c889dd0def79ddf8498f9af7a9d3ddc0423e | [
"Unlicense"
] | 22 | 2021-06-16T08:33:22.000Z | 2022-01-31T05:17:54.000Z | setup.py | Alexhuszagh/toolchains | 6428c889dd0def79ddf8498f9af7a9d3ddc0423e | [
"Unlicense"
] | 1 | 2022-03-21T16:09:20.000Z | 2022-03-21T16:09:20.000Z | setup.py | Alexhuszagh/xcross | 6428c889dd0def79ddf8498f9af7a9d3ddc0423e | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python
'''
setup
=====
This is a relatively complicated setup script, since
it does a few things to simplify version control
and configuration files.
There's a simple script that overrides the `build_py`
command to ensure there's proper version control set
for the librar... | 33.96273 | 97 | 0.598202 | 58,096 | 0.76811 | 0 | 0 | 5,340 | 0.070602 | 0 | 0 | 26,063 | 0.344589 |
3d4379916a421e4f16400672da640d246b4981ac | 27,082 | py | Python | src/sgfsdriver/plugins/ftp/ftp_client.py | syndicate-storage/syndicate-fs-driver-plugins | 8e455d6bb4838c2313bb6cd72ed5fa6bbbc871d2 | [
"Apache-2.0"
] | null | null | null | src/sgfsdriver/plugins/ftp/ftp_client.py | syndicate-storage/syndicate-fs-driver-plugins | 8e455d6bb4838c2313bb6cd72ed5fa6bbbc871d2 | [
"Apache-2.0"
] | 3 | 2016-11-18T21:31:00.000Z | 2017-08-16T15:35:52.000Z | src/sgfsdriver/plugins/ftp/ftp_client.py | syndicate-storage/syndicate-fs-driver-plugins | 8e455d6bb4838c2313bb6cd72ed5fa6bbbc871d2 | [
"Apache-2.0"
] | 2 | 2016-03-31T18:55:58.000Z | 2017-08-02T19:57:12.000Z | #!/usr/bin/env python
"""
Copyright 2016 The Trustees of University of Arizona
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
Unl... | 30.259218 | 196 | 0.535633 | 25,595 | 0.945093 | 0 | 0 | 0 | 0 | 0 | 0 | 3,960 | 0.146223 |
3d440ce993f7a5cda0551a5a0f0c5294985fb68c | 2,338 | py | Python | py/ops/ops/mob/keys.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | 3 | 2016-01-04T06:28:52.000Z | 2020-09-20T13:18:40.000Z | py/ops/ops/mob/keys.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | py/ops/ops/mob/keys.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | __all__ = [
'keys',
]
from pathlib import Path
import logging
from garage import apps
from garage import scripts
LOG = logging.getLogger(__name__)
HOST_KEYS = [
('dsa', 1024),
('ecdsa', 521),
('ed25519', None),
('rsa', 4096),
]
# ECDSA requires less bits than RSA at same level of strength an... | 23.38 | 74 | 0.630881 | 0 | 0 | 0 | 0 | 1,773 | 0.75834 | 0 | 0 | 628 | 0.268606 |
3d4433d949aa6f4076c88076dfa660972581d142 | 28,882 | py | Python | reconcile/test/test_saasherder.py | bhushanthakur93/qontract-reconcile | fd8eea9f92d353224113955d08e3592864e37df8 | [
"Apache-2.0"
] | null | null | null | reconcile/test/test_saasherder.py | bhushanthakur93/qontract-reconcile | fd8eea9f92d353224113955d08e3592864e37df8 | [
"Apache-2.0"
] | null | null | null | reconcile/test/test_saasherder.py | bhushanthakur93/qontract-reconcile | fd8eea9f92d353224113955d08e3592864e37df8 | [
"Apache-2.0"
] | null | null | null | from typing import Any
from unittest import TestCase
from unittest.mock import patch, MagicMock
import yaml
from github import GithubException
from reconcile.utils.openshift_resource import ResourceInventory
from reconcile.utils.saasherder import SaasHerder
from reconcile.utils.jjb_client import JJB
from reconcile.ut... | 33.544715 | 88 | 0.522263 | 28,462 | 0.985458 | 0 | 0 | 437 | 0.015131 | 0 | 0 | 6,322 | 0.218891 |
3d452a7b2a000511d4c3041100856759bae15e44 | 8,235 | py | Python | configs/example/garnet_synth_traffic.py | georgia-tech-synergy-lab/gem5_astra | 41695878a2b60c5a28fa104465558cd1acb8a695 | [
"BSD-3-Clause"
] | 5 | 2020-11-15T12:27:28.000Z | 2021-09-20T03:50:54.000Z | configs/example/garnet_synth_traffic.py | georgia-tech-synergy-lab/gem5_astra | 41695878a2b60c5a28fa104465558cd1acb8a695 | [
"BSD-3-Clause"
] | null | null | null | configs/example/garnet_synth_traffic.py | georgia-tech-synergy-lab/gem5_astra | 41695878a2b60c5a28fa104465558cd1acb8a695 | [
"BSD-3-Clause"
] | 2 | 2020-10-27T01:15:41.000Z | 2020-11-16T02:30:32.000Z | # Copyright (c) 2016 Georgia Institute of Technology
# 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 must retain the above copyright
# notice, this list of conditi... | 37.262443 | 79 | 0.664602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,748 | 0.455131 |
3d45fc30ab899b62ab8e13a78f05b881621256c2 | 9,329 | py | Python | tests/unit/service/test_messaging.py | davetobin/ignition | eb183dca3fb2041d3f6249467a3265e7eb1d8905 | [
"Apache-2.0"
] | 1 | 2019-09-02T15:23:08.000Z | 2019-09-02T15:23:08.000Z | tests/unit/service/test_messaging.py | davetobin/ignition | eb183dca3fb2041d3f6249467a3265e7eb1d8905 | [
"Apache-2.0"
] | 62 | 2019-09-16T14:51:32.000Z | 2020-07-08T13:28:50.000Z | tests/unit/service/test_messaging.py | accanto-systems/ignition | 87087b81dfa7f8f69525f4dd9c74db715e336eca | [
"Apache-2.0"
] | 4 | 2021-08-17T14:38:54.000Z | 2022-02-09T14:33:57.000Z | import unittest
import time
import copy
from unittest.mock import patch, MagicMock, call
from ignition.service.messaging import PostalService, KafkaDeliveryService, KafkaInboxService, Envelope, Message, MessagingProperties
from kafka import KafkaProducer
class TestPostalService(unittest.TestCase):
def setUp(self... | 51.541436 | 209 | 0.731054 | 9,066 | 0.971808 | 3,574 | 0.383106 | 6,161 | 0.660414 | 0 | 0 | 1,228 | 0.131633 |
3d470989d588fa1b7b09836531c89bcfed89beee | 1,011 | py | Python | app/core/management/commands/wait_for_db.py | denis240997/recipe-app-api | c03c079b8df9d2b527c6d32a7c213be2b1478c6b | [
"MIT"
] | null | null | null | app/core/management/commands/wait_for_db.py | denis240997/recipe-app-api | c03c079b8df9d2b527c6d32a7c213be2b1478c6b | [
"MIT"
] | null | null | null | app/core/management/commands/wait_for_db.py | denis240997/recipe-app-api | c03c079b8df9d2b527c6d32a7c213be2b1478c6b | [
"MIT"
] | null | null | null | import time
from django.db import connections
from django.db.utils import OperationalError
from django.core.management.base import BaseCommand
# This is bullshit! Problem was not solved!
# The first connection is successful, but after that postgres closes the connection and
# reconnects. At the moment, this script h... | 38.884615 | 98 | 0.680514 | 633 | 0.626113 | 0 | 0 | 0 | 0 | 0 | 0 | 449 | 0.444115 |
3d4788f3f357f54449458d8a9feead4ef160065f | 835 | py | Python | clusters/actions.py | bhaugen/localecon | ee3134f701e6a786767cf7eeb165ee03f077e9da | [
"MIT"
] | 10 | 2015-02-14T14:22:31.000Z | 2022-02-22T17:40:34.000Z | clusters/actions.py | bhaugen/localecon | ee3134f701e6a786767cf7eeb165ee03f077e9da | [
"MIT"
] | 3 | 2017-02-01T16:44:04.000Z | 2018-04-02T13:48:03.000Z | clusters/actions.py | bhaugen/localecon | ee3134f701e6a786767cf7eeb165ee03f077e9da | [
"MIT"
] | null | null | null | import csv
from django.core.exceptions import PermissionDenied
from django.http import HttpResponse
def export_as_csv(modeladmin, request, queryset):
"""
Generic csv export admin action.
"""
if not request.user.is_staff:
raise PermissionDenied
opts = modeladmin.model._meta
response = Ht... | 37.954545 | 101 | 0.720958 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 211 | 0.252695 |
3d479358107ba6396633f05381cdd46111709044 | 37,605 | py | Python | rbac/common/protobuf/task_transaction_pb2.py | knagware9/sawtooth-next-directory | be80852e08d2b27e105d964c727509f2a974002d | [
"Apache-2.0"
] | 1 | 2019-04-14T20:16:59.000Z | 2019-04-14T20:16:59.000Z | rbac/common/protobuf/task_transaction_pb2.py | crazyrex/sawtooth-next-directory | 210b581c8c92c307fab2f6d2b9a55526b56b790a | [
"Apache-2.0"
] | null | null | null | rbac/common/protobuf/task_transaction_pb2.py | crazyrex/sawtooth-next-directory | 210b581c8c92c307fab2f6d2b9a55526b56b790a | [
"Apache-2.0"
] | 1 | 2018-12-07T10:55:08.000Z | 2018-12-07T10:55:08.000Z | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: task_transaction.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection ... | 41.506623 | 2,776 | 0.737216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,303 | 0.220795 |
3d487f498a05799cec579339e7396f36837a8077 | 14,560 | py | Python | courses/machine_learning/asl/open_project/ASL_youtube8m_models/video_using_datasets/trainer/model.py | Glairly/introduction_to_tensorflow | aa0a44d9c428a6eb86d1f79d73f54c0861b6358d | [
"Apache-2.0"
] | 2 | 2022-01-06T11:52:57.000Z | 2022-01-09T01:53:56.000Z | courses/machine_learning/asl/open_project/ASL_youtube8m_models/video_using_datasets/trainer/model.py | Glairly/introduction_to_tensorflow | aa0a44d9c428a6eb86d1f79d73f54c0861b6358d | [
"Apache-2.0"
] | null | null | null | courses/machine_learning/asl/open_project/ASL_youtube8m_models/video_using_datasets/trainer/model.py | Glairly/introduction_to_tensorflow | aa0a44d9c428a6eb86d1f79d73f54c0861b6358d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 2017 Google Inc. 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
#
# Unle... | 54.943396 | 196 | 0.682212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,742 | 0.463049 |
3d48f55b2e9c4409d2a293fd05fd3f37f16ba6df | 22,394 | py | Python | allennlp/tests/semparse/worlds/wikitables_world_test.py | kyleclo/allennlp | 0205c26f3db7ef44d7ee70fa9ebdf5a7f6b43baf | [
"Apache-2.0"
] | 24 | 2019-09-16T00:10:54.000Z | 2021-09-08T19:31:51.000Z | allennlp/tests/semparse/worlds/wikitables_world_test.py | TalSchuster/allennlp-MultiLang | dbb28b939652491d2f633326edccca2cd0e528c8 | [
"Apache-2.0"
] | 2 | 2019-01-12T00:19:06.000Z | 2019-02-27T05:29:31.000Z | allennlp/tests/semparse/worlds/wikitables_world_test.py | TalSchuster/allennlp-MultiLang | dbb28b939652491d2f633326edccca2cd0e528c8 | [
"Apache-2.0"
] | 10 | 2019-12-06T11:32:37.000Z | 2022-01-06T15:39:09.000Z | # pylint: disable=no-self-use,invalid-name
from typing import List
import pytest
from allennlp.common.testing import AllenNlpTestCase
from allennlp.data.tokenizers import Token
from allennlp.semparse import ParsingError
from allennlp.semparse.contexts import TableQuestionKnowledgeGraph
from allennlp.semparse.worlds i... | 51.958237 | 111 | 0.466732 | 21,743 | 0.97093 | 0 | 0 | 1,330 | 0.059391 | 0 | 0 | 8,117 | 0.362463 |
3d4903f05506c73039c6cca6466ba4b87575d105 | 395 | py | Python | FishCDailyQuestion/ex001-010/Python3_008/008_05.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | FishCDailyQuestion/ex001-010/Python3_008/008_05.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | FishCDailyQuestion/ex001-010/Python3_008/008_05.py | YorkFish/git_study | 6e023244daaa22e12b24e632e76a13e5066f2947 | [
"MIT"
] | null | null | null | #!/usr/bin/evn python3
# coding:utf-8
from math import sqrt
def is_prime_num(num):
for i in range(2, int(sqrt(num))+1):
if num % i == 0:
return False # 非素数，返回 False
return True # 是素数，返回 True
count = 0
for i in range(100, 201):
if is_prime_num(i):
print(i, end=' ')
c... | 20.789474 | 63 | 0.582278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.315036 |
3d490f3f5ae32168776078a1279b5239c7a6960d | 4,324 | py | Python | models/015_bolasso.py | cmougan/Novartis2021 | 72a6f088929a5a4546760f4a453ec4a77faf5856 | [
"MIT"
] | null | null | null | models/015_bolasso.py | cmougan/Novartis2021 | 72a6f088929a5a4546760f4a453ec4a77faf5856 | [
"MIT"
] | null | null | null | models/015_bolasso.py | cmougan/Novartis2021 | 72a6f088929a5a4546760f4a453ec4a77faf5856 | [
"MIT"
] | null | null | null | # %% Imports
from numpy.lib import select
import pandas as pd
import sys
import numpy as np
import random
from functools import partial
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sktools import IsEmptyExtractor
from lightgbm import LGBMRegressor
from category_encoders import T... | 32.268657 | 124 | 0.679695 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 953 | 0.220398 |
3d49492a4f368cab1e5d3dbd044945f99690e2f6 | 40,274 | py | Python | docx.py | highcat/python-docx | 05627c6330970f91771174c9e5d849ce28703b3e | [
"MIT"
] | null | null | null | docx.py | highcat/python-docx | 05627c6330970f91771174c9e5d849ce28703b3e | [
"MIT"
] | null | null | null | docx.py | highcat/python-docx | 05627c6330970f91771174c9e5d849ce28703b3e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Open and modify Microsoft Word 2007 docx files (called 'OpenXML' and 'Office OpenXML' by Microsoft)
Part of Python's docx module - http://github.com/mikemaccana/python-docx
See LICENSE for licensing information.
'''
from copy import deepcopy
import logging
from lxml i... | 43.305376 | 242 | 0.590133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18,062 | 0.448478 |
3d49f7eaf598f54df886dcfb77904d84e8c9f173 | 108 | py | Python | nylas/util/__init__.py | nylas/nylas-production-python | a0979cd104a43f80750b2361aa580516b8dbfcfc | [
"Apache-2.0",
"MIT"
] | 19 | 2015-11-20T12:38:34.000Z | 2022-01-13T15:40:25.000Z | nylas/api/__init__.py | nylas/nylas-production-python | a0979cd104a43f80750b2361aa580516b8dbfcfc | [
"Apache-2.0",
"MIT"
] | null | null | null | nylas/api/__init__.py | nylas/nylas-production-python | a0979cd104a43f80750b2361aa580516b8dbfcfc | [
"Apache-2.0",
"MIT"
] | 10 | 2016-03-12T00:38:54.000Z | 2018-12-13T05:58:13.000Z | from pkgutil import extend_path
# Allow out-of-tree submodules.
__path__ = extend_path(__path__, __name__)
| 21.6 | 42 | 0.805556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.287037 |
3d4abb2320ad6d11a7ab8694b9e07545a91044dd | 885 | py | Python | project/migrations/0002_auto_20180801_1907.py | mcdale/django-material | 3bd5725cc4a4b6f2fb1439333e9033d0cd2b6a9c | [
"MIT"
] | null | null | null | project/migrations/0002_auto_20180801_1907.py | mcdale/django-material | 3bd5725cc4a4b6f2fb1439333e9033d0cd2b6a9c | [
"MIT"
] | 2 | 2020-07-21T12:52:29.000Z | 2021-06-17T20:23:36.000Z | project/migrations/0002_auto_20180801_1907.py | mcdale/django-material | 3bd5725cc4a4b6f2fb1439333e9033d0cd2b6a9c | [
"MIT"
] | null | null | null | # Generated by Django 2.0.8 on 2018-08-01 19:07
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('project', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='knowledgearea',... | 30.517241 | 121 | 0.628249 | 759 | 0.857627 | 0 | 0 | 0 | 0 | 0 | 0 | 275 | 0.310734 |
3d4dc9ef0428e142bdd3d4e674dd5dce9410a4ab | 8,925 | py | Python | src/core/src/tortuga/objects/softwareProfile.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 33 | 2018-03-02T17:07:39.000Z | 2021-05-21T18:02:51.000Z | src/core/src/tortuga/objects/softwareProfile.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 201 | 2018-03-05T14:28:24.000Z | 2020-11-23T19:58:27.000Z | src/core/src/tortuga/objects/softwareProfile.py | sutasu/tortuga | 48d7cde4fa652346600b217043b4a734fa2ba455 | [
"Apache-2.0"
] | 23 | 2018-03-02T17:21:59.000Z | 2020-11-18T14:52:38.000Z | # 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 applicable law or agreed to in... | 27.631579 | 77 | 0.607731 | 7,608 | 0.852437 | 0 | 0 | 2,773 | 0.3107 | 0 | 0 | 2,239 | 0.250868 |
3d4e4b8f64fdbc0b44c87b38d3ece2354dc7dd2f | 579 | py | Python | src/utils/workspace.py | sidcmsft/ResponsibleAI | a8c691574690a8316e054c21ec9e6d0e0ca4e494 | [
"MIT"
] | 2 | 2020-09-03T16:13:56.000Z | 2021-02-18T15:58:41.000Z | src/utils/workspace.py | sidcmsft/ResponsibleAI | a8c691574690a8316e054c21ec9e6d0e0ca4e494 | [
"MIT"
] | null | null | null | src/utils/workspace.py | sidcmsft/ResponsibleAI | a8c691574690a8316e054c21ec9e6d0e0ca4e494 | [
"MIT"
] | 4 | 2020-09-03T16:14:19.000Z | 2021-05-05T05:59:59.000Z | import sys
from azureml.core import Workspace
from azureml.core.authentication import ServicePrincipalAuthentication
def get_workspace(
workspace_name: str,
resource_group: str,
subscription_id: str):
try:
aml_workspace = Workspace.get(
name=workspace_name,
... | 26.318182 | 70 | 0.680484 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.063903 |
3d4f711206b2fd9dbd8a3177d589e3c33373c8b1 | 822 | py | Python | tools/test_tmp.py | Z-XQ/mmdetection | 9f3756889969c0c21e6d84e0d993f302e7f07460 | [
"Apache-2.0"
] | null | null | null | tools/test_tmp.py | Z-XQ/mmdetection | 9f3756889969c0c21e6d84e0d993f302e7f07460 | [
"Apache-2.0"
] | null | null | null | tools/test_tmp.py | Z-XQ/mmdetection | 9f3756889969c0c21e6d84e0d993f302e7f07460 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2020/9/28 下午9:49
# @Author : zxq
# @File : test_tmp.py
# @Software: PyCharm
import mmcv
import torch
from mmdet.datasets import build_dataset
from mmdet.models import build_detector
from mmdet.apis import train_detector, inference_detector, show_result_pyplot
from tools.train_t... | 27.4 | 77 | 0.770073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 248 | 0.300242 |
3d4fb10a65167e4ffb44c4897ed5483e2f0d23c0 | 2,439 | py | Python | users/models.py | Mansi3546/CareerCradle | e040e763b1058aef937deb9eac4e1f9b2421ae25 | [
"MIT"
] | null | null | null | users/models.py | Mansi3546/CareerCradle | e040e763b1058aef937deb9eac4e1f9b2421ae25 | [
"MIT"
] | 1 | 2021-04-14T12:24:41.000Z | 2021-04-18T07:33:11.000Z | users/models.py | Mansi3546/CareerCradle | e040e763b1058aef937deb9eac4e1f9b2421ae25 | [
"MIT"
] | 3 | 2021-04-06T13:54:44.000Z | 2021-05-03T17:28:59.000Z | from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, PermissionsMixin
from django.db import models
from django.utils import timezone
from django.db.models import BooleanField
class UserManager(BaseUserManager):
def _create_user(self, email, password, usertype, is_staff, is_superuser, **ext... | 33.410959 | 94 | 0.660107 | 2,235 | 0.916359 | 0 | 0 | 0 | 0 | 0 | 0 | 199 | 0.081591 |
3d4fe154eecbbf658beca88c248a4a382f051e30 | 2,656 | py | Python | scripts/dump_ubd.py | sbreuers/BiternionNets-ROS | 954d6a2fbd97a01231f3411b366f3a3cccae5cf9 | [
"MIT"
] | 1 | 2018-08-29T07:11:22.000Z | 2018-08-29T07:11:22.000Z | scripts/dump_ubd.py | sbreuers/BiternionNets-ROS | 954d6a2fbd97a01231f3411b366f3a3cccae5cf9 | [
"MIT"
] | null | null | null | scripts/dump_ubd.py | sbreuers/BiternionNets-ROS | 954d6a2fbd97a01231f3411b366f3a3cccae5cf9 | [
"MIT"
] | 1 | 2018-10-20T12:09:58.000Z | 2018-10-20T12:09:58.000Z | #!/usr/bin/env python
# encoding: utf-8
from os.path import abspath, expanduser, join as pjoin
import os
from sys import stderr
import cv2
import rospy
from cv_bridge import CvBridge
import message_filters
from sensor_msgs.msg import Image as ROSImage
# Distinguish between STRANDS and SPENCER.
try:
from rwth_per... | 34.947368 | 120 | 0.651355 | 1,778 | 0.669428 | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 0.242846 |
3d5041bc56fbfaccca116aec98a24987eddba5f7 | 2,046 | py | Python | site_scons/site_tools/findPkgPath.py | fermi-lat/SConsFiles | 54124ec1031142b4fee76b12fdcfe839845e9fda | [
"BSD-3-Clause"
] | null | null | null | site_scons/site_tools/findPkgPath.py | fermi-lat/SConsFiles | 54124ec1031142b4fee76b12fdcfe839845e9fda | [
"BSD-3-Clause"
] | null | null | null | site_scons/site_tools/findPkgPath.py | fermi-lat/SConsFiles | 54124ec1031142b4fee76b12fdcfe839845e9fda | [
"BSD-3-Clause"
] | null | null | null | import os,platform,os.path
# Usual case: find where package is; add to env include path
# If 'subdir' argument, instead set construction env variable
# to point to it
def generate(env, **kw):
pkgName = kw.get('package', '')
if pkgName == '':
print 'findPkgPath called with no arg'
return No... | 40.117647 | 75 | 0.544966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 796 | 0.389052 |
3d506074ec9756c4fb5eb16d2309de5778a6c989 | 1,380 | py | Python | examples/model_zoo/test_binaries.py | Embracing/unrealcv | 19305da8554c3a0e683a5e27a1e487cc2cf42776 | [
"MIT"
] | 1,617 | 2016-09-10T04:41:33.000Z | 2022-03-31T20:03:28.000Z | examples/model_zoo/test_binaries.py | Embracing/unrealcv | 19305da8554c3a0e683a5e27a1e487cc2cf42776 | [
"MIT"
] | 199 | 2016-09-13T09:40:59.000Z | 2022-03-16T02:37:23.000Z | examples/model_zoo/test_binaries.py | Embracing/unrealcv | 19305da8554c3a0e683a5e27a1e487cc2cf42776 | [
"MIT"
] | 431 | 2016-09-10T03:20:35.000Z | 2022-03-19T13:44:21.000Z | import subprocess, os
win_binary_path = 'UE4Binaries/{project_name}/WindowsNoEditor/{project_name}.exe'
linux_binary_path = './UE4Binaries/{project_name}/LinuxNoEditor/{project_name}/Binaries/Linux/{project_name}'
mac_binary_path = './UE4Binaries/{project_name}/MacNoEditor/{project_name}.app'
project_names = [
'R... | 41.818182 | 109 | 0.698551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 513 | 0.371739 |
3d50aca1b7a9e65ec91502519f8c8985d2d96649 | 4,629 | py | Python | pyslam/feature_tracker_configs.py | velvetThunder25/Feature-based-Monocular-Visual-Odometry | e6b108e8ce71ec0ec535932e2fc1023fc6fcaf92 | [
"MIT"
] | 7 | 2022-01-12T22:46:06.000Z | 2022-03-16T13:57:52.000Z | pyslam/feature_tracker_configs.py | velvetThunder25/Feature-based-Monocular-Visual-Odometry | e6b108e8ce71ec0ec535932e2fc1023fc6fcaf92 | [
"MIT"
] | null | null | null | pyslam/feature_tracker_configs.py | velvetThunder25/Feature-based-Monocular-Visual-Odometry | e6b108e8ce71ec0ec535932e2fc1023fc6fcaf92 | [
"MIT"
] | 1 | 2022-01-12T22:52:29.000Z | 2022-01-12T22:52:29.000Z | """
* This file is part of PYSLAM
*
* Copyright (C) 2016-present Luigi Freda <luigi dot freda at gmail dot com>
*
* PYSLAM is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
... | 44.509615 | 159 | 0.579175 | 3,163 | 0.683301 | 0 | 0 | 0 | 0 | 0 | 0 | 1,705 | 0.36833 |
3d524c3bd35810437426c4644ee0f769511b58ea | 152 | py | Python | bindings/python/examples/05b_get_output.py | GoldenPedro/iota.rs | 71464f96b8e29d9fbed34a6ff77e757a112fedd4 | [
"Apache-2.0"
] | 256 | 2017-06-27T02:37:21.000Z | 2022-03-28T07:51:48.000Z | bindings/python/examples/05b_get_output.py | GoldenPedro/iota.rs | 71464f96b8e29d9fbed34a6ff77e757a112fedd4 | [
"Apache-2.0"
] | 379 | 2017-06-25T05:49:14.000Z | 2022-03-29T18:57:11.000Z | bindings/python/examples/05b_get_output.py | GoldenPedro/iota.rs | 71464f96b8e29d9fbed34a6ff77e757a112fedd4 | [
"Apache-2.0"
] | 113 | 2017-06-25T14:07:05.000Z | 2022-03-30T09:10:12.000Z | import iota_client
client = iota_client.Client()
print(
client.get_output("a22cba0667c922cbb1f8bdcaf970b2a881ccd6e88e2fcce50374de2aac7c37720000")
) | 25.333333 | 93 | 0.848684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.460526 |
3d5394f2af4816cbcec8e499c06b15d66ed6fb8e | 920 | py | Python | simple_ml/__init__.py | Yangruipis/simple_ml | 09657f6b017b973a5201aa611774d6ac8f0fc0a2 | [
"MIT"
] | 25 | 2018-04-17T04:38:51.000Z | 2021-10-09T04:07:53.000Z | simple_ml/__init__.py | Yangruipis/simple_ml | 09657f6b017b973a5201aa611774d6ac8f0fc0a2 | [
"MIT"
] | null | null | null | simple_ml/__init__.py | Yangruipis/simple_ml | 09657f6b017b973a5201aa611774d6ac8f0fc0a2 | [
"MIT"
] | 5 | 2018-04-17T05:27:00.000Z | 2020-12-01T02:55:15.000Z | # -*- coding:utf-8 -*-
"""
==================================
Simple Machine Learning
一个简单的机器学习算法实现
==================================
"""
from simple_ml.bayes import *
from simple_ml.classify_data import *
from simple_ml.auto import *
from simple_ml.classify_data import *
from simple_ml.ensemble import *
from simp... | 20 | 38 | 0.644565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 358 | 0.378436 |
3d53c39285c2bdec8b3434c91e5427cdb7617eb5 | 5,470 | py | Python | Modelos/Game.py | joaofanti/TrabRedesIIFinal | 3cae5db7ef88e20d9426043e926260ccedc79d10 | [
"MIT"
] | 1 | 2017-07-05T01:24:20.000Z | 2017-07-05T01:24:20.000Z | Modelos/Game.py | joaofanti/TrabRedesIIFinal | 3cae5db7ef88e20d9426043e926260ccedc79d10 | [
"MIT"
] | null | null | null | Modelos/Game.py | joaofanti/TrabRedesIIFinal | 3cae5db7ef88e20d9426043e926260ccedc79d10 | [
"MIT"
] | null | null | null | import sys
sys.path.insert(0, "Modelos/Mapa")
from Map import *
from Item import Item
"""
Define a classe que manipula a logica do jogo.
"""
class Game:
"""
Define um jogador do jogo.
"""
class Player:
"""
Cria uma nova instancia de jogador
"""
def __init__(self, name, addr, map):
self.Name = name
... | 28.051282 | 101 | 0.67404 | 5,325 | 0.973492 | 0 | 0 | 0 | 0 | 0 | 0 | 1,430 | 0.261426 |
3d550a112ff51ab3601284d3bb247c868ab1d733 | 2,062 | py | Python | test/sample_data/get_observation_histogram_week.py | eduramirezh/pyinaturalist | e5da7ced7fae31f27310868bdb2d349bdff8e0d4 | [
"MIT"
] | 47 | 2019-07-23T08:18:02.000Z | 2022-03-17T16:32:17.000Z | test/sample_data/get_observation_histogram_week.py | eduramirezh/pyinaturalist | e5da7ced7fae31f27310868bdb2d349bdff8e0d4 | [
"MIT"
] | 219 | 2019-08-22T14:45:20.000Z | 2022-03-30T02:39:35.000Z | test/sample_data/get_observation_histogram_week.py | eduramirezh/pyinaturalist | e5da7ced7fae31f27310868bdb2d349bdff8e0d4 | [
"MIT"
] | 9 | 2020-02-28T04:29:13.000Z | 2022-02-23T03:02:32.000Z | from datetime import datetime
{
datetime(2019, 12, 30, 0, 0): 35,
datetime(2020, 1, 6, 0, 0): 27,
datetime(2020, 1, 13, 0, 0): 39,
datetime(2020, 1, 20, 0, 0): 120,
datetime(2020, 1, 27, 0, 0): 73,
datetime(2020, 2, 3, 0, 0): 48,
datetime(2020, 2, 10, 0, 0): 35,
datetime(2020, 2, 17, 0,... | 35.551724 | 39 | 0.532978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d553fd4a5642d493db1017f36467ff8b535228c | 65 | py | Python | wave_1d_fwi_tf/__init__.py | ar4/wave_1d_fwi_tf | 0a543149dc3bd5ca6ec0e5bfe34add4796e0b879 | [
"MIT"
] | 2 | 2017-08-07T13:35:50.000Z | 2019-02-28T08:26:49.000Z | wave_1d_fwi_tf/__init__.py | ar4/wave_1d_fwi_tf | 0a543149dc3bd5ca6ec0e5bfe34add4796e0b879 | [
"MIT"
] | null | null | null | wave_1d_fwi_tf/__init__.py | ar4/wave_1d_fwi_tf | 0a543149dc3bd5ca6ec0e5bfe34add4796e0b879 | [
"MIT"
] | 5 | 2018-06-26T20:43:44.000Z | 2021-12-11T20:00:03.000Z | """1D FWI implemented using TensorFlow
"""
__version__ = '0.0.1'
| 16.25 | 38 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.753846 |
3d555476cff1bc071aa2e2a1ea0c596baf77825f | 1,586 | py | Python | scripts/space_heating_demand/ecofys_space_heating_demand.py | quintel/etmoses | e1e682d0ef68928e5a015c44d916ec151917b1ff | [
"MIT"
] | 16 | 2015-09-22T11:33:52.000Z | 2019-09-09T13:37:14.000Z | scripts/space_heating_demand/ecofys_space_heating_demand.py | quintel/etmoses | e1e682d0ef68928e5a015c44d916ec151917b1ff | [
"MIT"
] | 1,445 | 2015-05-20T22:42:50.000Z | 2022-02-26T19:16:02.000Z | scripts/space_heating_demand/ecofys_space_heating_demand.py | quintel/etloader | e1e682d0ef68928e5a015c44d916ec151917b1ff | [
"MIT"
] | 3 | 2015-11-03T10:41:26.000Z | 2017-02-11T07:39:52.000Z | import numpy as np
from numpy import genfromtxt
import matplotlib.pyplot as plt
import os
time_steps = 8760
file_name = "../input_data/Ecofys_ECN_heating_profiles.csv"
data = zip(*genfromtxt(file_name, delimiter=','))
names = ["tussenwoning_laag", "tussenwoning_midden", "tussenwoning_hoog",
"hoekwoning_laa... | 26.433333 | 109 | 0.645019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 587 | 0.370113 |
3d55a052fc466e9d762d5638ce7970aab1dc7f8b | 1,362 | py | Python | parsers/lyrics_az.py | taynaron/lyrics2mp3 | 339f4dfd94c88896278a7be4143ea586ada8194f | [
"MIT"
] | null | null | null | parsers/lyrics_az.py | taynaron/lyrics2mp3 | 339f4dfd94c88896278a7be4143ea586ada8194f | [
"MIT"
] | null | null | null | parsers/lyrics_az.py | taynaron/lyrics2mp3 | 339f4dfd94c88896278a7be4143ea586ada8194f | [
"MIT"
] | null | null | null | from .lyrics import Lyrics
class LyricsAZ(Lyrics):
def __init__(self, **kwargs):
super().__init__("azlyrics", **kwargs)
def parse_single_song(self, href):
soup = self.parse_html(href)
parsed_lyrics = (
soup.find("div", class_="col-xs-12 col-lg-8 text-center")
.... | 31.674419 | 69 | 0.592511 | 1,332 | 0.977974 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.147577 |
3d56210042ea856581699506b54c8a673f17ffaa | 1,414 | py | Python | senorge/listfiles.py | kojitominaga/scratch | 5eaf4de30c89ff1e855a6be493105d1201f07f74 | [
"FSFAP"
] | null | null | null | senorge/listfiles.py | kojitominaga/scratch | 5eaf4de30c89ff1e855a6be493105d1201f07f74 | [
"FSFAP"
] | null | null | null | senorge/listfiles.py | kojitominaga/scratch | 5eaf4de30c89ff1e855a6be493105d1201f07f74 | [
"FSFAP"
] | null | null | null | import os
d = '/Volumes/Seagate Expansion Drive/SeNorge'
vars = ['bn', 'eva', 'frd', 'gwt', 'is', 'os', 'q', 'rr',
'sd', 'smd', 'swe', 'tm']
# Massebalanse isbre (mm/døgn) gwb_bn_2014_06_15.asc
# Fordampning (mm/døgn) gwb_eva_2014_06_15.asc
# Frostdyp (mm/døgn) gwb_frd_2014_06_15.asc
# Grunnvannsmagasin (mm) ... | 33.666667 | 81 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 767 | 0.538246 |
3d56d13a865c0fd22d417834c65ef6529f433ba4 | 104 | py | Python | Python/jump-to-python/Exponential.py | leeheefull/blog-source | 5f8370de5b0f62801fffc9e5f0f0bcb98dc2e6d1 | [
"MIT"
] | null | null | null | Python/jump-to-python/Exponential.py | leeheefull/blog-source | 5f8370de5b0f62801fffc9e5f0f0bcb98dc2e6d1 | [
"MIT"
] | null | null | null | Python/jump-to-python/Exponential.py | leeheefull/blog-source | 5f8370de5b0f62801fffc9e5f0f0bcb98dc2e6d1 | [
"MIT"
] | null | null | null | # 지수부 표현
a = 1e9
print(a) # 1000000000.0
a = 7.525e2
print(a) # 752.5
a = 3954e-3
print(a) # 3.954
| 10.4 | 24 | 0.576923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.403509 |
3d56d5d2a7208245fa6af52b9cc12f9423e31653 | 11,289 | py | Python | src/lib_yolo_detect.py | felixchenfy/ros_yolo_as_template_matching | 0d5c0a52ba5540d2a644e0b426f9041a2a5e7858 | [
"MIT"
] | 29 | 2019-12-02T01:54:18.000Z | 2022-02-15T09:23:27.000Z | src/lib_yolo_detect.py | felixchenfy/ros_yolo_as_template_matching | 0d5c0a52ba5540d2a644e0b426f9041a2a5e7858 | [
"MIT"
] | 8 | 2019-12-24T13:13:44.000Z | 2022-02-10T00:16:31.000Z | src/lib_yolo_detect.py | felixchenfy/ros_yolo_as_template_matching | 0d5c0a52ba5540d2a644e0b426f9041a2a5e7858 | [
"MIT"
] | 5 | 2020-01-31T00:31:37.000Z | 2022-03-28T06:14:09.000Z | # -*- coding: future_fstrings -*-
from __future__ import division
if 1: # Set path
import sys, os
ROOT = os.path.dirname(os.path.abspath(__file__))+"/../" # root of the project
sys.path.append(ROOT)
import sys
from src.PyTorch_YOLOv3.models import Darknet
from src.PyTorch_YOLOv3.utils.utils import non_max... | 36.182692 | 111 | 0.639738 | 2,827 | 0.250421 | 0 | 0 | 0 | 0 | 0 | 0 | 3,369 | 0.298432 |
3d582b494cb98544a7b8b83f15184b7f8c7c6d2b | 43 | py | Python | python/parse_ddl/tests/ddl_examples/test_vs.py | jared-ong/data-projects | 21ceccacb8e408ca45fe95c1c4d311f48e8f7708 | [
"MIT"
] | null | null | null | python/parse_ddl/tests/ddl_examples/test_vs.py | jared-ong/data-projects | 21ceccacb8e408ca45fe95c1c4d311f48e8f7708 | [
"MIT"
] | null | null | null | python/parse_ddl/tests/ddl_examples/test_vs.py | jared-ong/data-projects | 21ceccacb8e408ca45fe95c1c4d311f48e8f7708 | [
"MIT"
] | null | null | null | import json
import re
print("Hello world") | 10.75 | 20 | 0.767442 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.302326 |
3d58e1aeb6209bbf0ac5b1e7058c942f20cd4768 | 733 | py | Python | tests/test_missing_variable.py | specfault/GreenerPython | 976260c3e78969cfd3e1e40639325f104325c703 | [
"MIT"
] | null | null | null | tests/test_missing_variable.py | specfault/GreenerPython | 976260c3e78969cfd3e1e40639325f104325c703 | [
"MIT"
] | null | null | null | tests/test_missing_variable.py | specfault/GreenerPython | 976260c3e78969cfd3e1e40639325f104325c703 | [
"MIT"
] | null | null | null | from tests.framework import AbstractFilePair
from tests.framework import in_test_function
from tests.framework import standard_test_spec
from tests.framework import SavingFixesSUT
from tests.framework import fixing_test
variable_names = ('x', 'y')
def missing_variable_in_source(variable_name):
test_code = in_te... | 29.32 | 73 | 0.718963 | 300 | 0.409277 | 0 | 0 | 313 | 0.427012 | 0 | 0 | 141 | 0.19236 |
3d59c021cf7fb75f7a11d364d01cd243b711a413 | 3,186 | py | Python | aiida/storage/psql_dos/migrations/versions/django_0040_data_migration_legacy_process_attributes.py | mkrack/aiida-core | bab1ad6cfc8e4ff041bce268f9270c613663cb35 | [
"MIT",
"BSD-3-Clause"
] | 153 | 2016-12-23T20:59:03.000Z | 2019-07-02T06:47:52.000Z | aiida/storage/psql_dos/migrations/versions/django_0040_data_migration_legacy_process_attributes.py | mkrack/aiida-core | bab1ad6cfc8e4ff041bce268f9270c613663cb35 | [
"MIT",
"BSD-3-Clause"
] | 2,466 | 2016-12-24T01:03:52.000Z | 2019-07-04T13:41:08.000Z | aiida/storage/psql_dos/migrations/versions/django_0040_data_migration_legacy_process_attributes.py | mkrack/aiida-core | bab1ad6cfc8e4ff041bce268f9270c613663cb35 | [
"MIT",
"BSD-3-Clause"
] | 88 | 2016-12-23T16:28:00.000Z | 2019-07-01T15:55:20.000Z | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | 35.797753 | 119 | 0.607031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,887 | 0.906152 |
3d5a102883a7bb1dd52786e30fc8cbb5261af1f1 | 1,108 | py | Python | hdvw/ops/matrix.py | shaoshitong/hdvw | fbb39da9ad8a765f74225eec7e9614978c740dde | [
"Apache-2.0"
] | 2 | 2022-03-26T09:08:43.000Z | 2022-03-26T09:09:27.000Z | hdvw/ops/matrix.py | shaoshitong/hdvw | fbb39da9ad8a765f74225eec7e9614978c740dde | [
"Apache-2.0"
] | null | null | null | hdvw/ops/matrix.py | shaoshitong/hdvw | fbb39da9ad8a765f74225eec7e9614978c740dde | [
"Apache-2.0"
] | null | null | null | from sklearn.metrics import confusion_matrix
import torch
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
from tensorflow.keras.utils import to_categorical
def confusion_matrix_pyplot(y_true,y_pred,num_classes,name=""):
if isinstance(y_true,to... | 38.206897 | 81 | 0.652527 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.024368 |
3d5a3b5d8a7ee8e5a8d60b3408e8aa8d46c512c1 | 346 | py | Python | {{cookiecutter.app_name}}/search_indexes.py | rickydunlop/cookiecutter-django-app-template-drf-haystack | 8ea9034c371950628b3d312639964753899c8c5d | [
"MIT"
] | null | null | null | {{cookiecutter.app_name}}/search_indexes.py | rickydunlop/cookiecutter-django-app-template-drf-haystack | 8ea9034c371950628b3d312639964753899c8c5d | [
"MIT"
] | null | null | null | {{cookiecutter.app_name}}/search_indexes.py | rickydunlop/cookiecutter-django-app-template-drf-haystack | 8ea9034c371950628b3d312639964753899c8c5d | [
"MIT"
] | null | null | null | from haystack import indexes
from .models import {{ cookiecutter.model_name }}
class {{ cookiecutter.model_name }}Index(indexes.SearchIndex, indexes.Indexable):
text = indexes.CharField(document=True, use_template=True)
name = indexes.CharField(model_attr='name')
def get_model(self):
return {{ c... | 28.833333 | 81 | 0.736994 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.017341 |
3d5db5e05861ba4f7444a52667354a11e6f370f2 | 6,018 | py | Python | utility_functions.py | andrewli2403/California-Basketball-Data-Processor | 19582bef72d6a4f4281ddb61eceb4bee033b5ceb | [
"MIT"
] | null | null | null | utility_functions.py | andrewli2403/California-Basketball-Data-Processor | 19582bef72d6a4f4281ddb61eceb4bee033b5ceb | [
"MIT"
] | null | null | null | utility_functions.py | andrewli2403/California-Basketball-Data-Processor | 19582bef72d6a4f4281ddb61eceb4bee033b5ceb | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup as bs
import re
import pandas as pd
#collect & process data based on GAME ID
def processor(game_id):
url = "https://www.espn.com/mens-college-basketball/matchup?gameId=" + str(game_id)
r = requests.get(url)
webpage = bs(r.content, features="html.parser")
#... | 47.015625 | 1,105 | 0.633599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,353 | 0.390994 |
3d5eb8fb4fedfe6ddb55250652317a407099a204 | 3,787 | py | Python | site_crawler/cleaner/cleaner.py | kwoshvick/NSE-Financial-News-Crawler-and-Predictor | 8acee7c660c5487d18321dc7a169eba3043ef2b8 | [
"MIT"
] | 11 | 2018-04-24T12:05:45.000Z | 2021-07-12T05:30:41.000Z | site_crawler/cleaner/cleaner.py | kwoshvick/NSE-Financial-News-Crawler-and-Predictor | 8acee7c660c5487d18321dc7a169eba3043ef2b8 | [
"MIT"
] | null | null | null | site_crawler/cleaner/cleaner.py | kwoshvick/NSE-Financial-News-Crawler-and-Predictor | 8acee7c660c5487d18321dc7a169eba3043ef2b8 | [
"MIT"
] | 5 | 2019-08-09T04:43:23.000Z | 2021-08-28T18:05:56.000Z | import csv
import re
import string
import html
class Cleaner:
def __init__(self):
self.remove_punctuations = str.maketrans('', '', string.punctuation)
def read_csv(self,csv_name):
cleaned_text = []
with open('../data/twitter_data/raw_data/'+csv_name+'.csv', newline='', encoding='utf-8'... | 29.818898 | 113 | 0.578558 | 2,784 | 0.735147 | 0 | 0 | 0 | 0 | 0 | 0 | 939 | 0.247954 |
3d5f940e0e5788ca23c26f2a301fe14e51745333 | 1,161 | py | Python | 003.branch/if.py | cjp1016/python-samples | ca5a7284cf4cb9fe42fa1487d4944815a00487ec | [
"Apache-2.0"
] | null | null | null | 003.branch/if.py | cjp1016/python-samples | ca5a7284cf4cb9fe42fa1487d4944815a00487ec | [
"Apache-2.0"
] | null | null | null | 003.branch/if.py | cjp1016/python-samples | ca5a7284cf4cb9fe42fa1487d4944815a00487ec | [
"Apache-2.0"
] | null | null | null | """
用户身份验证
Version: 0.1
Author: cjp
"""
username = input('请输入用户名: ')
password = input('请输入口令: ')
# 用户名是admin且密码是123456则身份验证成功否则身份验证失败
if username == 'admin' and password == '123456':
print('身份验证成功!')
else:
print('身份验证失败!')
"""
Python中没有用花括号来构造代码块而是使用了缩进的方式来设置代码的层次结构，
如果if条件成立的情况下需要执行多条语句，只要保持多条语句具有相同的缩进就可以了，... | 15.077922 | 53 | 0.564169 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,489 | 0.800107 |
3d602a949005e0184acfd82e6822740a19d36fb9 | 7,210 | bzl | Python | bazel/antlr4_cc.bzl | kyle-winkelman/fhir | 01038aa235189fd043fd2981ebf40f4dc1e826e0 | [
"Apache-2.0"
] | null | null | null | bazel/antlr4_cc.bzl | kyle-winkelman/fhir | 01038aa235189fd043fd2981ebf40f4dc1e826e0 | [
"Apache-2.0"
] | 2 | 2020-07-24T14:20:45.000Z | 2020-07-24T19:43:52.000Z | bazel/antlr4_cc.bzl | kyle-winkelman/fhir | 01038aa235189fd043fd2981ebf40f4dc1e826e0 | [
"Apache-2.0"
] | 1 | 2020-07-10T15:03:45.000Z | 2020-07-10T15:03:45.000Z | """Build rules to create C++ code from an Antlr4 grammar."""
def antlr4_cc_lexer(name, src, namespaces = None, imports = None, deps = None, lib_import = None):
"""Generates the C++ source corresponding to an antlr4 lexer definition.
Args:
name: The name of the package to use for the cc_library.
sr... | 38.55615 | 142 | 0.600971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,960 | 0.410541 |
3d62c9779cfa7f3da2b542252bdcb812a8982541 | 234 | py | Python | src/scenic/simulators/gta/map.py | cahartsell/Scenic | 2e7979011aef426108687947668d9ba6f5439136 | [
"BSD-3-Clause"
] | 141 | 2019-03-07T07:17:19.000Z | 2022-03-19T16:15:48.000Z | src/scenic/simulators/gta/map.py | cahartsell/Scenic | 2e7979011aef426108687947668d9ba6f5439136 | [
"BSD-3-Clause"
] | 27 | 2019-06-18T23:04:29.000Z | 2022-03-31T13:42:05.000Z | src/scenic/simulators/gta/map.py | cahartsell/Scenic | 2e7979011aef426108687947668d9ba6f5439136 | [
"BSD-3-Clause"
] | 59 | 2019-04-08T15:20:15.000Z | 2022-03-29T07:23:26.000Z |
# stub to allow changing the map without having to alter gta_model.sc
import os
mapPath = 'map.npz'
def setLocalMap(module, relpath):
global mapPath
base = os.path.dirname(module)
mapPath = os.path.join(base, relpath)
| 19.5 | 69 | 0.717949 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.333333 |
e9e2bdbc8442df5b9a587f4296d83d87e0d66ce8 | 6,982 | py | Python | bot/messages.py | pyaf/tpobot | d96a3650de46f6d43ab346d61b922b170cd5fdb2 | [
"MIT"
] | 4 | 2017-07-19T19:18:15.000Z | 2017-11-24T16:15:51.000Z | bot/messages.py | rishabhiitbhu/tpobot | d96a3650de46f6d43ab346d61b922b170cd5fdb2 | [
"MIT"
] | 5 | 2020-02-11T23:53:50.000Z | 2021-12-13T19:45:22.000Z | bot/messages.py | pyaf/tpobot | d96a3650de46f6d43ab346d61b922b170cd5fdb2 | [
"MIT"
] | 1 | 2017-08-27T20:40:50.000Z | 2017-08-27T20:40:50.000Z | # -*- coding: utf-8 -*-
message_dict = {
'welcome': "Hi! TPO Baba is here to give you updates about TPO portal, set willingness reminders, ppt "\
"reminders, exam date reminders and lot more...:D \n\n"\
"To personalise your experience, I gotta register you. It's simple two step proc... | 48.151724 | 112 | 0.560011 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,366 | 0.759734 |
e9e2e74f010f4bd4956a3cbde97bcbf8f121ba63 | 5,208 | py | Python | geomstats/geometry/matrices.py | PabloJ-1/geomstats | b53f62b745b21972b80bd7222df9af2549b66d64 | [
"MIT"
] | null | null | null | geomstats/geometry/matrices.py | PabloJ-1/geomstats | b53f62b745b21972b80bd7222df9af2549b66d64 | [
"MIT"
] | null | null | null | geomstats/geometry/matrices.py | PabloJ-1/geomstats | b53f62b745b21972b80bd7222df9af2549b66d64 | [
"MIT"
] | null | null | null | """Module exposing the `Matrices` and `MatricesMetric` class."""
from functools import reduce
import geomstats.backend as gs
from geomstats.geometry.euclidean import Euclidean
from geomstats.geometry.riemannian_metric import RiemannianMetric
TOLERANCE = 1e-5
class Matrices(Euclidean):
"""Class for the space o... | 29.590909 | 78 | 0.576421 | 4,939 | 0.948349 | 0 | 0 | 3,149 | 0.604647 | 0 | 0 | 2,490 | 0.478111 |
e9e2f70538bbc55ae42d19558eee76ef0345309a | 2,338 | py | Python | gamutrf/mqtt_reporter.py | cglewis/gamutRF | d95b36f5893f165ff02701636c82662727d6e275 | [
"Apache-2.0"
] | null | null | null | gamutrf/mqtt_reporter.py | cglewis/gamutRF | d95b36f5893f165ff02701636c82662727d6e275 | [
"Apache-2.0"
] | null | null | null | gamutrf/mqtt_reporter.py | cglewis/gamutRF | d95b36f5893f165ff02701636c82662727d6e275 | [
"Apache-2.0"
] | null | null | null | import gpsd
import json
import logging
import socket
import httpx
import paho.mqtt.client as mqtt
class MQTTReporter:
def __init__(self, name, mqtt_server=None, gps_server=None, compass=False):
self.name = name
self.mqtt_server = mqtt_server
self.compass = compass
self.gps_server... | 33.4 | 107 | 0.579983 | 2,236 | 0.956373 | 0 | 0 | 0 | 0 | 0 | 0 | 323 | 0.138152 |
e9e522181523a4e229d498e313189c98d24c3d87 | 7,377 | py | Python | 2onnx.py | Yifanfanfanfan/flops-counter.pytorch | 5e7670106511f42f258083a01318b386605b61e7 | [
"MIT"
] | null | null | null | 2onnx.py | Yifanfanfanfan/flops-counter.pytorch | 5e7670106511f42f258083a01318b386605b61e7 | [
"MIT"
] | null | null | null | 2onnx.py | Yifanfanfanfan/flops-counter.pytorch | 5e7670106511f42f258083a01318b386605b61e7 | [
"MIT"
] | null | null | null | import os, sys, time, shutil, argparse
from functools import partial
import pickle
sys.path.append('../')
import torch
import torch.nn as nn
from torch.autograd import Variable
from torchvision import datasets, transforms
#import torchvision.models as models
import torch.optim as optim
import torch.nn.parallel
import t... | 38.222798 | 143 | 0.682256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,015 | 0.408703 |
e9e8878237d9fdf426e86b2606cac1e238054e1a | 8,888 | py | Python | arapheno/phenotypedb/migrations/0001_initial.py | svengato/AraPheno | d6918e2e69c497b7096d9291d904c69310e84d06 | [
"MIT"
] | 5 | 2018-03-24T08:54:50.000Z | 2021-01-19T03:19:42.000Z | arapheno/phenotypedb/migrations/0001_initial.py | svengato/AraPheno | d6918e2e69c497b7096d9291d904c69310e84d06 | [
"MIT"
] | 38 | 2016-08-14T12:09:15.000Z | 2020-10-30T06:02:24.000Z | arapheno/phenotypedb/migrations/0001_initial.py | svengato/AraPheno | d6918e2e69c497b7096d9291d904c69310e84d06 | [
"MIT"
] | 8 | 2016-08-15T06:07:32.000Z | 2020-11-06T06:43:56.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-06-27 14:12
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Creat... | 50.5 | 159 | 0.588884 | 8,698 | 0.978623 | 0 | 0 | 0 | 0 | 0 | 0 | 1,458 | 0.164041 |
e9e93ad17a56b7c2432a305bc659635d4fd17d0c | 1,870 | py | Python | prior_library_release.py | DReichLab/adna-workflow | 07c6da8e64234decb7373fe7109e09395a45cb58 | [
"BSD-3-Clause"
] | 9 | 2019-05-28T11:16:14.000Z | 2022-02-24T01:22:47.000Z | prior_library_release.py | DReichLab/adna-workflow | 07c6da8e64234decb7373fe7109e09395a45cb58 | [
"BSD-3-Clause"
] | 3 | 2020-01-09T20:12:02.000Z | 2020-11-17T14:50:28.000Z | prior_library_release.py | DReichLab/adna-workflow | 07c6da8e64234decb7373fe7109e09395a45cb58 | [
"BSD-3-Clause"
] | 1 | 2019-08-04T12:46:01.000Z | 2019-08-04T12:46:01.000Z | from release_libraries import LibraryParameters
from bam_finder import getBamPath, library_default_dir, MT_default_dir, ShopVersion
import argparse
import re
from has_read_groups import read_group_checks
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Augment the bam list for a release with a... | 49.210526 | 306 | 0.758289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 690 | 0.368984 |
e9e95132c690c91397faab36e332edee82e1ac48 | 3,818 | py | Python | scratch/msf/fast_sample_data.py | sasgc6/pysmurf | a370b515ab717c982781223da147bea3c8fb3a9c | [
"BSD-3-Clause-LBNL"
] | 3 | 2019-10-17T02:37:59.000Z | 2022-03-09T16:42:34.000Z | scratch/msf/fast_sample_data.py | sasgc6/pysmurf | a370b515ab717c982781223da147bea3c8fb3a9c | [
"BSD-3-Clause-LBNL"
] | 446 | 2019-04-10T04:46:20.000Z | 2022-03-15T20:27:57.000Z | scratch/msf/fast_sample_data.py | sasgc6/pysmurf | a370b515ab717c982781223da147bea3c8fb3a9c | [
"BSD-3-Clause-LBNL"
] | 13 | 2019-02-05T18:02:05.000Z | 2021-03-02T18:41:49.000Z | import numpy as np
import matplotlib.pyplot as plt
import scipy.signal as signal
plt.ion()
bands = [2,3]
single_channel_readout = 2
nsamp = 2**25
new_chans = False
def etaPhaseModDegree(etaPhase):
return (etaPhase+180)%360-180
#For resonator I/Q high sampled data use eta_mag + eta_phase found in eta scans for Q... | 41.956044 | 275 | 0.628078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,005 | 0.263227 |
e9e9975a7e35ce3210ca6631964e51dc707d8e9b | 2,667 | py | Python | kwiklib/utils/settings.py | fiath/test | b50898dafa90e93da48f573e0b3feb1bb6acd8de | [
"MIT",
"BSD-3-Clause"
] | 7 | 2015-01-20T13:55:51.000Z | 2018-02-06T09:31:21.000Z | kwiklib/utils/settings.py | fiath/test | b50898dafa90e93da48f573e0b3feb1bb6acd8de | [
"MIT",
"BSD-3-Clause"
] | 6 | 2015-01-08T18:13:53.000Z | 2016-06-22T09:53:53.000Z | kwiklib/utils/settings.py | fiath/test | b50898dafa90e93da48f573e0b3feb1bb6acd8de | [
"MIT",
"BSD-3-Clause"
] | 8 | 2015-01-22T22:57:19.000Z | 2020-03-19T11:43:56.000Z | """Internal persistent settings store with cPickle."""
# -----------------------------------------------------------------------------
# Imports
# -----------------------------------------------------------------------------
import cPickle
import os
from kwiklib.utils.globalpaths import ensure_folder_exists
# -----... | 31.011628 | 79 | 0.490064 | 1,563 | 0.586052 | 0 | 0 | 0 | 0 | 0 | 0 | 1,243 | 0.466067 |
e9e9ed2bd4fb85cec280f41104f00f0f5fe284be | 24,098 | py | Python | cpu.py | philippechataignon/applepy | 1b9d1709a4490f49fa06739bb44c0602bb07b730 | [
"MIT"
] | null | null | null | cpu.py | philippechataignon/applepy | 1b9d1709a4490f49fa06739bb44c0602bb07b730 | [
"MIT"
] | null | null | null | cpu.py | philippechataignon/applepy | 1b9d1709a4490f49fa06739bb44c0602bb07b730 | [
"MIT"
] | null | null | null | import sys
import pygame
from utils import signed
class CPU:
STACK_PAGE = 0x100
RESET_VECTOR = 0xFFFC
def __init__(self, options, memory):
self.options = options
self.memory = memory
self.accumulator = 0x00
self.x_index = 0x00
self.y_index = 0x00
self.car... | 36.960123 | 197 | 0.606523 | 24,046 | 0.997842 | 0 | 0 | 0 | 0 | 0 | 0 | 776 | 0.032202 |
e9ead4efec2b488b003bd50670c0f814058b8f19 | 29 | py | Python | router/tasks/__init__.py | smallwat3r/shopify-webhook-processor | 4f16017cb9695ca00eb6d95e4381a8442b3dc0e3 | [
"MIT"
] | 1 | 2021-08-30T14:01:03.000Z | 2021-08-30T14:01:03.000Z | router/tasks/__init__.py | smallwat3r/shopify-webhook-processor | 4f16017cb9695ca00eb6d95e4381a8442b3dc0e3 | [
"MIT"
] | null | null | null | router/tasks/__init__.py | smallwat3r/shopify-webhook-processor | 4f16017cb9695ca00eb6d95e4381a8442b3dc0e3 | [
"MIT"
] | 2 | 2021-08-30T14:01:04.000Z | 2021-09-07T01:07:41.000Z | from .tasks import Processor
| 14.5 | 28 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e9ebfd8edc0153bf61129fe91fefdc9f0a9e4300 | 1,392 | py | Python | dogs/dogs.py | RafaelBadaro-zz/dogtour-backend | 30a83eac46dddaf29c3c643e2dc4dd71948484f0 | [
"Unlicense"
] | null | null | null | dogs/dogs.py | RafaelBadaro-zz/dogtour-backend | 30a83eac46dddaf29c3c643e2dc4dd71948484f0 | [
"Unlicense"
] | 2 | 2019-11-10T18:08:39.000Z | 2020-07-11T21:22:42.000Z | dogs/dogs.py | RafaelBadaro-zz/dogtour-backend | 30a83eac46dddaf29c3c643e2dc4dd71948484f0 | [
"Unlicense"
] | 1 | 2022-02-12T12:14:40.000Z | 2022-02-12T12:14:40.000Z | import uuid
from nameko.rpc import RpcProxy, rpc
from nameko_redis import Redis
class DogsService:
name = "dogs"
users_rpc = RpcProxy('users')
redis = Redis('development')
@rpc
def get(self, dog_id):
dog = self.redis.hgetall(dog_id)
return dog
@rpc
def create(self... | 19.068493 | 56 | 0.481322 | 1,306 | 0.938218 | 0 | 0 | 1,179 | 0.846983 | 0 | 0 | 159 | 0.114224 |
e9ec78a38e45c3ed801db04c7a18df698501ab39 | 1,531 | py | Python | examples/demo_OT_2D_samples.py | agramfort/POT | 8dbfd3edae649f5f3e87be4a3ce446c59729b2f7 | [
"MIT"
] | null | null | null | examples/demo_OT_2D_samples.py | agramfort/POT | 8dbfd3edae649f5f3e87be4a3ce446c59729b2f7 | [
"MIT"
] | null | null | null | examples/demo_OT_2D_samples.py | agramfort/POT | 8dbfd3edae649f5f3e87be4a3ce446c59729b2f7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Demo for 2D Optimal transport between empirical distributions
@author: rflamary
"""
import numpy as np
import matplotlib.pylab as pl
import ot
#%% parameters and data generation
n=20 # nb samples
mu_s=np.array([0,0])
cov_s=np.array([[1,0],[0,1]])
mu_t=np.array([4,4])
cov_t=np.array([[1... | 19.379747 | 61 | 0.677335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 534 | 0.348792 |
e9ed96eda4a6de7f5ebf0c1ccffa4e86b1a28787 | 7,594 | py | Python | src/morphometrics/utils/surface_utils.py | kevinyamauchi/morphometrics | f48cb4fa8c06b726f0b699940c32ac8df466f71c | [
"BSD-3-Clause"
] | 5 | 2022-03-17T18:14:18.000Z | 2022-03-23T00:48:17.000Z | src/morphometrics/utils/surface_utils.py | kevinyamauchi/morphometrics | f48cb4fa8c06b726f0b699940c32ac8df466f71c | [
"BSD-3-Clause"
] | 11 | 2022-01-27T14:10:43.000Z | 2022-03-20T18:22:30.000Z | src/morphometrics/utils/surface_utils.py | kevinyamauchi/morphometrics | f48cb4fa8c06b726f0b699940c32ac8df466f71c | [
"BSD-3-Clause"
] | 1 | 2022-03-17T18:17:21.000Z | 2022-03-17T18:17:21.000Z | from typing import List, Tuple
import numpy as np
import pymeshfix
import trimesh.voxel.creation
from skimage.measure import marching_cubes
from trimesh import Trimesh
from trimesh.smoothing import filter_taubin
from ..types import BinaryImage, LabelImage
def _round_to_pitch(coordinate: np.ndarray, pitch: float) ->... | 32.314894 | 95 | 0.684093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,881 | 0.511061 |
e9eda2a3fc73ffe30b97e1cd86e60cd02bdf72a7 | 1,402 | py | Python | bigflow_python/python/bigflow/pipeline/test/testdata/columns/columns/column_sum.py | advancedxy/bigflow_python | 8a244b483404fde7afc42eee98bc964da8ae03e2 | [
"Apache-2.0"
] | 1,236 | 2017-11-14T11:10:10.000Z | 2022-03-08T11:54:41.000Z | bigflow_python/python/bigflow/pipeline/test/testdata/columns/columns/column_sum.py | advancedxy/bigflow_python | 8a244b483404fde7afc42eee98bc964da8ae03e2 | [
"Apache-2.0"
] | 38 | 2017-11-14T16:29:12.000Z | 2020-01-23T08:32:04.000Z | bigflow_python/python/bigflow/pipeline/test/testdata/columns/columns/column_sum.py | advancedxy/bigflow_python | 8a244b483404fde7afc42eee98bc964da8ae03e2 | [
"Apache-2.0"
] | 184 | 2017-11-27T07:23:36.000Z | 2022-03-14T02:54:16.000Z | #!/usr/bin/env python
# encoding: utf-8
########################################################################
#
# Copyright (c) 2016 Baidu, Inc. 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... | 28.04 | 74 | 0.597004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,146 | 0.782787 |
e9ee58711825a498c9db3c3f37e476c5e56bb0a6 | 282 | py | Python | auction/models/bidbasket.py | littlepea/django-auction | fe0219faabe17efbeca1be51869d750e82299941 | [
"MIT"
] | 10 | 2015-01-13T02:51:35.000Z | 2021-01-25T21:02:29.000Z | auction/models/bidbasket.py | JohnRomanski/django-auction | bc6982c8f34a9a6914badb203424eca7f3219685 | [
"MIT"
] | 2 | 2016-08-05T09:24:30.000Z | 2020-06-28T06:00:11.000Z | auction/models/bidbasket.py | JohnRomanski/django-auction | bc6982c8f34a9a6914badb203424eca7f3219685 | [
"MIT"
] | 22 | 2015-03-12T10:41:52.000Z | 2021-11-23T14:33:09.000Z | import importlib
from django.conf import settings
from auction.utils.loader import load_class
AUCTION_BIDBASKET_MODEL = getattr(settings, 'AUCTION_BIDBASKET_MODEL',
'auction.models.defaults.BidBasket')
BidBasket = load_class(AUCTION_BIDBASKET_MODEL, 'AUCTION_BIDBASKET_MODEL') | 35.25 | 74 | 0.840426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0.301418 |
e9eed597103f69eb9973238f713e70a5ed271b2e | 551 | py | Python | stixpy/timeseries/tests/test_quicklook.py | nicHoch/stixpy | cdb86094995590da36f3ae5e01f4ca4b9aac819c | [
"BSD-3-Clause"
] | 4 | 2021-07-06T14:42:09.000Z | 2022-02-24T10:19:18.000Z | stixpy/timeseries/tests/test_quicklook.py | nicHoch/stixpy | cdb86094995590da36f3ae5e01f4ca4b9aac819c | [
"BSD-3-Clause"
] | 30 | 2020-10-02T20:24:28.000Z | 2022-03-31T18:29:07.000Z | stixpy/timeseries/tests/test_quicklook.py | nicHoch/stixpy | cdb86094995590da36f3ae5e01f4ca4b9aac819c | [
"BSD-3-Clause"
] | 8 | 2021-04-16T11:00:13.000Z | 2022-03-31T10:09:29.000Z | from pathlib import Path
import pytest
from sunpy.timeseries import TimeSeries
from stixpy.data import test
from stixpy.timeseries.quicklook import *
def test_ql_lightcurve():
ql_lc = TimeSeries(test.STIX_QL_LIGHTCURVE_TIMESERIES)
assert isinstance(ql_lc, QLLightCurve)
def test_qlbackground():
ql_lc =... | 22.958333 | 58 | 0.787659 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e9f001a0eb4f10eb622617d07d8ad3650ace4a3c | 2,284 | py | Python | roberta_ses/datasets/sst_dataset.py | sythello/Roberta_SES | 289d575b9330cb6ae61190846448bd5368d73453 | [
"Apache-2.0"
] | null | null | null | roberta_ses/datasets/sst_dataset.py | sythello/Roberta_SES | 289d575b9330cb6ae61190846448bd5368d73453 | [
"Apache-2.0"
] | null | null | null | roberta_ses/datasets/sst_dataset.py | sythello/Roberta_SES | 289d575b9330cb6ae61190846448bd5368d73453 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@file : sst_dataset.py
@author: zijun
@contact : [email protected]
@date : 2020/11/17 11:45
@version: 1.0
@desc : sst5 and imdb task use the same dataset
"""
import os
from functools import partial
import torch
from transformers import RobertaTokenizer
from to... | 30.453333 | 87 | 0.651926 | 1,097 | 0.480298 | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 0.161996 |
e9f017283f2c9870d465de8537e58d7f7588313c | 8,068 | py | Python | tests/gem5/configs/boot_kvm_fork_run.py | darchr/gem5 | 0feb0a34db519523a8595f6d1543f7412259ba17 | [
"BSD-3-Clause"
] | 19 | 2018-07-20T15:08:50.000Z | 2022-03-26T16:15:59.000Z | tests/gem5/configs/boot_kvm_fork_run.py | darchr/gem5 | 0feb0a34db519523a8595f6d1543f7412259ba17 | [
"BSD-3-Clause"
] | 148 | 2018-07-20T00:58:36.000Z | 2021-11-16T01:52:33.000Z | tests/gem5/configs/boot_kvm_fork_run.py | darchr/gem5 | 0feb0a34db519523a8595f6d1543f7412259ba17 | [
"BSD-3-Clause"
] | 10 | 2019-01-10T03:01:30.000Z | 2022-01-21T18:36:18.000Z | # Copyright (c) 2021 The University of Texas at Austin
# 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 must retain the above copyright
# notice, this list of condi... | 29.661765 | 79 | 0.716534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,601 | 0.446331 |
e9f050b89ff8d6e83255108084e3c376a0039fc7 | 1,203 | py | Python | rioxarray/write.py | kadyb/raster-benchmark | 78733ff75181713071cc0694e187a2ac83f76752 | [
"MIT"
] | 11 | 2021-04-15T09:51:48.000Z | 2022-02-08T13:01:28.000Z | rioxarray/write.py | kadyb/raster-benchmark | 78733ff75181713071cc0694e187a2ac83f76752 | [
"MIT"
] | 11 | 2021-02-16T12:43:07.000Z | 2021-12-14T19:57:10.000Z | rioxarray/write.py | kadyb/raster-benchmark | 78733ff75181713071cc0694e187a2ac83f76752 | [
"MIT"
] | 2 | 2021-07-22T14:01:46.000Z | 2021-07-25T05:24:51.000Z | # -*- coding: utf-8 -*-
import os
import timeit
import xarray
import rioxarray
import pandas as pd
wd = os.getcwd()
catalog = os.path.join('data', 'LC08_L1TP_190024_20200418_20200822_02_T1')
rasters = os.listdir(catalog)
rasters = [r for r in rasters if r.endswith(('.TIF'))]
rasters = [os.path.join(wd, ca... | 27.340909 | 77 | 0.633416 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 266 | 0.221114 |
e9f15a2385f1ea0dee9385406e24c070bd322820 | 14,534 | py | Python | manifold/manifold.py | timotheosh/Manifest | d3917cb386aa351335c38f08e4c7d36136d8863f | [
"MIT"
] | 2 | 2021-08-13T12:38:24.000Z | 2021-08-21T19:36:42.000Z | manifold/manifold.py | timotheosh/Manifold | d3917cb386aa351335c38f08e4c7d36136d8863f | [
"MIT"
] | null | null | null | manifold/manifold.py | timotheosh/Manifold | d3917cb386aa351335c38f08e4c7d36136d8863f | [
"MIT"
] | null | null | null | # encoding: utf-8
'''manifold
An SMF service manifest creation tool.
'''
__author__ = 'Chris Miles'
__copyright__ = '(c) Chris Miles 2008. All rights reserved.'
__license__ = 'GPL http://www.gnu.org/licenses/gpl.txt'
__id__ = '$Id: manifold.py 7 2009-03-24 09:10:48Z miles.chris $'
__url__ = '$URL: https://manifold.g... | 30.923404 | 164 | 0.555938 | 3,478 | 0.239301 | 0 | 0 | 0 | 0 | 0 | 0 | 7,461 | 0.513348 |
e9f182577a3561deeedd13bd4f63beb75d349a4d | 7,183 | py | Python | lemon_boy.py | hug58/Lemon-Boy-platformer | 5ec5dd8974088fce5084e6249d13e7bb47621669 | [
"MIT"
] | 4 | 2019-03-12T09:02:17.000Z | 2019-05-06T20:31:18.000Z | lemon_boy.py | hug58/Lemon-Boy-platformer | 5ec5dd8974088fce5084e6249d13e7bb47621669 | [
"MIT"
] | null | null | null | lemon_boy.py | hug58/Lemon-Boy-platformer | 5ec5dd8974088fce5084e6249d13e7bb47621669 | [
"MIT"
] | 2 | 2019-03-11T06:51:06.000Z | 2020-09-01T16:17:06.000Z | from script import *
from script.menu import Menu
from script import image,sound,resolve_route
from script.player import Player
from script.enemy import Apple
from script.elementos import Trap,Door,Trampoline,Key,Lemon
from script.camera import Camera
from script.tilemap import TileMap
pg.display.init()
pg.joystick.i... | 24.599315 | 93 | 0.667688 | 4,797 | 0.667641 | 0 | 0 | 0 | 0 | 0 | 0 | 467 | 0.064997 |
e9f1fbbda761ade5d0893da97c048863bb481369 | 4,915 | py | Python | pliers/utils/base.py | jsmentch/pliers | ef13552793ab5789065249a89230baced407c472 | [
"BSD-3-Clause"
] | null | null | null | pliers/utils/base.py | jsmentch/pliers | ef13552793ab5789065249a89230baced407c472 | [
"BSD-3-Clause"
] | null | null | null | pliers/utils/base.py | jsmentch/pliers | ef13552793ab5789065249a89230baced407c472 | [
"BSD-3-Clause"
] | null | null | null | ''' Miscellaneous internal utilities. '''
import collections
import os
from abc import ABCMeta, abstractmethod, abstractproperty
from types import GeneratorType
from itertools import islice
from tqdm import tqdm
import pandas as pd
from pliers import config
from pliers.support.exceptions import MissingDependencyErro... | 29.431138 | 126 | 0.673042 | 1,389 | 0.282604 | 528 | 0.107426 | 338 | 0.068769 | 0 | 0 | 1,358 | 0.276297 |
e9f2022d8957402e8b079abe1da08f467caf510b | 2,431 | py | Python | lmnet/lmnet/datasets/cifar100_distribute.py | toohsk/blueoil | 596922caa939db9c5ecbac3286fbf6f703865ee6 | [
"Apache-2.0"
] | null | null | null | lmnet/lmnet/datasets/cifar100_distribute.py | toohsk/blueoil | 596922caa939db9c5ecbac3286fbf6f703865ee6 | [
"Apache-2.0"
] | 1 | 2018-11-21T07:06:17.000Z | 2018-11-21T07:06:17.000Z | lmnet/lmnet/datasets/cifar100_distribute.py | toohsk/blueoil | 596922caa939db9c5ecbac3286fbf6f703865ee6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2018 The Blueoil 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
#
# Unles... | 31.571429 | 106 | 0.626903 | 1,543 | 0.634718 | 0 | 0 | 478 | 0.196627 | 0 | 0 | 897 | 0.368984 |
e9f22bb1ea67ab94d6fe17f1e1dc1a68f58ceef8 | 3,149 | py | Python | gridengine/functional.py | MiqG/gridengine | 457c34b16f2c43b9be985cd822f30305d68afd91 | [
"BSD-3-Clause"
] | 20 | 2015-01-31T16:52:15.000Z | 2019-03-22T20:09:50.000Z | gridengine/functional.py | MiqG/gridengine | 457c34b16f2c43b9be985cd822f30305d68afd91 | [
"BSD-3-Clause"
] | 1 | 2021-11-27T16:33:59.000Z | 2021-11-27T16:33:59.000Z | gridengine/functional.py | MiqG/gridengine | 457c34b16f2c43b9be985cd822f30305d68afd91 | [
"BSD-3-Clause"
] | 7 | 2015-10-27T16:49:52.000Z | 2021-09-22T10:16:25.000Z | import inspect
import functools
from gridengine import job, dispatch, schedulers
# ----------------------------------------------------------------------------
# Partial
# ----------------------------------------------------------------------------
def isexception(x):
"""Test whether the value is an Exception instan... | 32.463918 | 97 | 0.64719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,155 | 0.684344 |
e9f24ec99f076ba98908603ffa1d50f5644d6aa7 | 31,441 | py | Python | Bio/Prosite/__init__.py | nuin/biopython | 045d57b08799ef52c64bd4fa807629b8a7e9715a | [
"PostgreSQL"
] | 2 | 2016-05-09T04:20:06.000Z | 2017-03-07T10:25:53.000Z | Bio/Prosite/__init__.py | nuin/biopython | 045d57b08799ef52c64bd4fa807629b8a7e9715a | [
"PostgreSQL"
] | null | null | null | Bio/Prosite/__init__.py | nuin/biopython | 045d57b08799ef52c64bd4fa807629b8a7e9715a | [
"PostgreSQL"
] | 1 | 2019-08-19T22:05:14.000Z | 2019-08-19T22:05:14.000Z | # Copyright 1999 by Jeffrey Chang. All rights reserved.
# Copyright 2000 by Jeffrey Chang. All rights reserved.
# Revisions Copyright 2007 by Peter Cock. All rights reserved.
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
#... | 35.326966 | 256 | 0.580675 | 26,177 | 0.832575 | 377 | 0.011991 | 0 | 0 | 0 | 0 | 11,972 | 0.380777 |
e9f29e0f95ccd2b1945aff6967594472289887d8 | 21,120 | py | Python | build/lib/mrgaze/pupilometry.py | jmtyszka/mrgaze | 29217eab9ea431686fd200f08bddd6615c45d0d3 | [
"MIT"
] | 18 | 2016-01-22T02:47:45.000Z | 2021-09-23T18:37:51.000Z | build/lib/mrgaze/pupilometry.py | jmtyszka/mrgaze | 29217eab9ea431686fd200f08bddd6615c45d0d3 | [
"MIT"
] | 7 | 2015-05-26T21:33:16.000Z | 2020-05-26T11:47:54.000Z | build/lib/mrgaze/pupilometry.py | jmtyszka/mrgaze | 29217eab9ea431686fd200f08bddd6615c45d0d3 | [
"MIT"
] | 7 | 2016-02-06T00:17:52.000Z | 2021-02-22T03:51:55.000Z | #!/usr/bin/env python
#
# Video pupilometry functions
# - takes calibration and gaze video filenames as input
# - controls calibration and gaze estimation workflow
#
# USAGE : mrgaze.py <Calibration Video> <Gaze Video>
#
# AUTHOR : Mike Tyszka
# PLACE : Caltech
# DATES : 2014-05-07 JMT From scratch
# 2016-02... | 33.051643 | 112 | 0.550284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,518 | 0.403314 |
e9f462dbb1b4b480ae079d20eb179ca06f53f704 | 1,927 | py | Python | aws_glue/combine_csv_files/combine_csv_files.py | veben/aws_python_snippets | 39fa3cda8290fb097a5b9e8168829b62ab1af41e | [
"MIT"
] | 1 | 2020-09-08T09:22:25.000Z | 2020-09-08T09:22:25.000Z | aws_glue/combine_csv_files/combine_csv_files.py | veben/aws_python_snippets | 39fa3cda8290fb097a5b9e8168829b62ab1af41e | [
"MIT"
] | null | null | null | aws_glue/combine_csv_files/combine_csv_files.py | veben/aws_python_snippets | 39fa3cda8290fb097a5b9e8168829b62ab1af41e | [
"MIT"
] | 1 | 2020-09-08T09:26:58.000Z | 2020-09-08T09:26:58.000Z | from lib_combination.aws_client.aws_client import get_session_for_profile, run_job, get_job, create_job
from lib_combination.aws_client.aws_client import upload_file_to_s3_bucket
from lib_combination.conf_utils.conf_utils import get_job_name, get_profile_name, get_bucket_name, get_database_name
from lib_combination.fil... | 41.891304 | 116 | 0.70576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 302 | 0.15672 |
e9f4dc1139fdd0b79eb9f6a5670984a538e5b297 | 1,062 | py | Python | p850h/rectangle_area.py | l33tdaima/l33tdaima | 0a7a9573dc6b79e22dcb54357493ebaaf5e0aa90 | [
"MIT"
] | 1 | 2020-02-20T12:04:46.000Z | 2020-02-20T12:04:46.000Z | p850h/rectangle_area.py | l33tdaima/l33tdaima | 0a7a9573dc6b79e22dcb54357493ebaaf5e0aa90 | [
"MIT"
] | null | null | null | p850h/rectangle_area.py | l33tdaima/l33tdaima | 0a7a9573dc6b79e22dcb54357493ebaaf5e0aa90 | [
"MIT"
] | null | null | null | from typing import List
class Solution:
def rectangleArea(self, rectangles: List[List[int]]) -> int:
xs = sorted(set([x for x1, y1, x2, y2 in rectangles for x in [x1, x2]]))
x_i = {v: i for i, v in enumerate(xs)}
count = [0] * len(x_i)
L = []
for x1, y1, x2, y2 in rectangle... | 32.181818 | 88 | 0.508475 | 729 | 0.686441 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.042373 |