hexsha stringlengths 40 40 | size int64 2 1.02M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 245 | max_stars_repo_name stringlengths 6 130 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 245 | max_issues_repo_name stringlengths 6 130 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 245 | max_forks_repo_name stringlengths 6 130 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 2 1.02M | avg_line_length float64 1 958k | max_line_length int64 1 987k | alphanum_fraction float64 0 1 | content_no_comment stringlengths 0 1.01M | is_comment_constant_removed bool 2
classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c10dd881ef8c944f31caae03862d4ec569f9166 | 2,283 | py | Python | scripts/RunTestList.py | GitHubRepoDescription/Azure-Kinect-Sensor-SDK-forked | 3b57e9c9501bce282ff5529d9b1106120921252f | [
"MIT"
] | 4 | 2019-05-15T22:38:18.000Z | 2020-09-03T13:48:41.000Z | scripts/RunTestList.py | GitHubRepoDescription/Azure-Kinect-Sensor-SDK-forked | 3b57e9c9501bce282ff5529d9b1106120921252f | [
"MIT"
] | 1 | 2019-09-07T16:17:45.000Z | 2019-11-20T21:12:45.000Z | scripts/RunTestList.py | GitHubRepoDescription/Azure-Kinect-Sensor-SDK-forked | 3b57e9c9501bce282ff5529d9b1106120921252f | [
"MIT"
] | 1 | 2021-11-20T05:34:08.000Z | 2021-11-20T05:34:08.000Z | #!/usr/bin/env python3
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# Used to run Google Tests generated during build. Takes in a text file
# containing a list of relative paths to text exectuables to run and path to
# binary output directory of build. The paths are re... | 34.590909 | 123 | 0.643452 |
import re, argparse, sys, subprocess, os
parser=argparse.ArgumentParser(description='Run test list of built k4a tests')
parser.add_argument('--list', type=str, help='Test list file path', required=True)
parser.add_argument('--bin', type=str, help='path to build binary directory', required=True)
parser.add_argument('... | true | true |
1c10dec09ac1920856b9c75314d97b46b34d96f1 | 8,140 | py | Python | Source/sprites/decorator.py | LucXyMan/starseeker | b5c3365514c982734da7d95621e6b85af550ce82 | [
"BSD-3-Clause"
] | null | null | null | Source/sprites/decorator.py | LucXyMan/starseeker | b5c3365514c982734da7d95621e6b85af550ce82 | [
"BSD-3-Clause"
] | null | null | null | Source/sprites/decorator.py | LucXyMan/starseeker | b5c3365514c982734da7d95621e6b85af550ce82 | [
"BSD-3-Clause"
] | 1 | 2019-11-27T18:00:00.000Z | 2019-11-27T18:00:00.000Z | #!/usr/bin/env python2.7
# -*- coding:UTF-8 -*-2
u"""decorator.py
Copyright (c) 2019 Yukio Kuro
This software is released under BSD license.
デコレータモジュール。
"""
import pygame as _pygame
def set_decorator(subject, groups=None):
u"""デコレータ設定。
"""
class __Top(Decorator):
u"""上部デコレータ。
"""
... | 32.430279 | 74 | 0.520762 | import pygame as _pygame
def set_decorator(subject, groups=None):
class __Top(Decorator):
def _get_image(self, is_light):
return self._get_horizon(is_light)
def update(self):
if self._subject.alive():
self.image = (
self._light_image if ... | true | true |
1c10df672481d9ea370bd5f0844fc62bb7919b46 | 5,296 | py | Python | uimnet/workers/predictor.py | facebookresearch/uimnet | d7544cf5fb4c65cb262dca203afb0db4ba6c569d | [
"MIT"
] | 7 | 2021-07-28T18:40:20.000Z | 2022-01-26T23:50:41.000Z | uimnet/workers/predictor.py | facebookresearch/uimnet | d7544cf5fb4c65cb262dca203afb0db4ba6c569d | [
"MIT"
] | 10 | 2021-08-31T13:44:56.000Z | 2021-08-31T14:10:12.000Z | uimnet/workers/predictor.py | facebookresearch/uimnet | d7544cf5fb4c65cb262dca203afb0db4ba6c569d | [
"MIT"
] | 1 | 2021-11-06T01:55:58.000Z | 2021-11-06T01:55:58.000Z | #!/usr/bin/env python3
#
# # Copyright (c) 2021 Facebook, inc. and its affiliates. All Rights Reserved
#
#
import copy
import torch
import torch.distributed as dist
import time
from pathlib import Path
import pickle
from uimnet.algorithms.base import Algorithm
import submitit
from uimnet import algorithms
from uimnet... | 34.167742 | 99 | 0.658799 | import copy
import torch
import torch.distributed as dist
import time
from pathlib import Path
import pickle
from uimnet.algorithms.base import Algorithm
import submitit
from uimnet import algorithms
from uimnet import datasets
from uimnet import metrics
from uimnet import utils
from uimnet import workers
from uimnet... | true | true |
1c10e13ad2f5532bcc8f3d1b99e494ae284822bb | 999 | py | Python | setup.py | ttngu207/workflow-animal | c6f7d47d0a72fc33f0fb3199b6537d6a2ccb4ab5 | [
"MIT"
] | null | null | null | setup.py | ttngu207/workflow-animal | c6f7d47d0a72fc33f0fb3199b6537d6a2ccb4ab5 | [
"MIT"
] | 13 | 2021-03-21T05:50:07.000Z | 2022-03-07T17:24:18.000Z | setup.py | ttngu207/workflow-animal | c6f7d47d0a72fc33f0fb3199b6537d6a2ccb4ab5 | [
"MIT"
] | 4 | 2021-03-18T17:25:20.000Z | 2021-08-03T21:05:42.000Z | #!/usr/bin/env python
from setuptools import setup, find_packages
from os import path
import sys
here = path.abspath(path.dirname(__file__))
long_description = """"
# Workflow for lab management and animal management
Build a workflow for lab management and animal metadata using DataJoint Elements
+ [elements-lab](ht... | 31.21875 | 80 | 0.738739 | from setuptools import setup, find_packages
from os import path
import sys
here = path.abspath(path.dirname(__file__))
long_description = """"
# Workflow for lab management and animal management
Build a workflow for lab management and animal metadata using DataJoint Elements
+ [elements-lab](https://github.com/dataj... | true | true |
1c10e5a267c81b3d9b2f9cbf225bb98322c1d09a | 1,539 | py | Python | setup.py | vhelke/python-cas | 067bd8c7a1265331fe3901a12f33197ef0930f48 | [
"MIT"
] | 82 | 2015-06-26T16:59:06.000Z | 2022-01-19T04:50:45.000Z | setup.py | vhelke/python-cas | 067bd8c7a1265331fe3901a12f33197ef0930f48 | [
"MIT"
] | 28 | 2016-06-24T13:24:34.000Z | 2021-11-14T06:02:03.000Z | setup.py | vhelke/python-cas | 067bd8c7a1265331fe3901a12f33197ef0930f48 | [
"MIT"
] | 52 | 2016-06-22T17:38:44.000Z | 2021-11-13T09:11:35.000Z | #!/usr/bin/env python
from __future__ import absolute_import
import codecs
from setuptools import setup
with codecs.open('README.rst', encoding='utf-8') as f:
readme = f.read()
setup(
author='Ming Chen',
author_email='ming@djangocas.dev',
classifiers=[
'Development Status :: 5 - Production/... | 32.0625 | 98 | 0.586745 |
from __future__ import absolute_import
import codecs
from setuptools import setup
with codecs.open('README.rst', encoding='utf-8') as f:
readme = f.read()
setup(
author='Ming Chen',
author_email='ming@djangocas.dev',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Envi... | true | true |
1c10e7e9848185a7205690072acd80e473214da5 | 1,084 | py | Python | Tree/Inorder-Iterator-For-Binary-Tree.py | umerkhan95/teaching-python | 36f2bd6f740c5d0e6afb6c02163b2f11133cb883 | [
"MIT"
] | null | null | null | Tree/Inorder-Iterator-For-Binary-Tree.py | umerkhan95/teaching-python | 36f2bd6f740c5d0e6afb6c02163b2f11133cb883 | [
"MIT"
] | null | null | null | Tree/Inorder-Iterator-For-Binary-Tree.py | umerkhan95/teaching-python | 36f2bd6f740c5d0e6afb6c02163b2f11133cb883 | [
"MIT"
] | null | null | null | class InorderIterator:
def __init__(self, root):
self.stack = []
while root != None:
self.stack.append(root)
root = root.left
# Check whether the stack is empty or not
def hasNext(self):
if not self.stack:
return False
else:
re... | 27.794872 | 81 | 0.54797 | class InorderIterator:
def __init__(self, root):
self.stack = []
while root != None:
self.stack.append(root)
root = root.left
def hasNext(self):
if not self.stack:
return False
else:
return True
def getNext(self):
... | true | true |
1c10e8ec8039b5909bdf0d01cdaca6f4bae8dadb | 7,781 | py | Python | pyspheregl/sim/touch_manager.py | JosephOHagan/pyspheregl | 4258f8bb69372f0cb33ea1d859aaa1d8195e0167 | [
"BSD-2-Clause"
] | null | null | null | pyspheregl/sim/touch_manager.py | JosephOHagan/pyspheregl | 4258f8bb69372f0cb33ea1d859aaa1d8195e0167 | [
"BSD-2-Clause"
] | null | null | null | pyspheregl/sim/touch_manager.py | JosephOHagan/pyspheregl | 4258f8bb69372f0cb33ea1d859aaa1d8195e0167 | [
"BSD-2-Clause"
] | 3 | 2018-08-09T18:57:51.000Z | 2019-11-23T08:27:33.000Z | import zmq
import numpy as np
import json
import attr
from ..sphere import sphere
@attr.s
class TouchEvent(object):
event = attr.ib(default="NONE")
touch = attr.ib(default=None)
@attr.s
class Touch(object):
lonlat = attr.ib()
origin = attr.ib()
orig_t = attr.ib()
raw = attr.ib() # raw TUIO co... | 37.408654 | 133 | 0.571263 | import zmq
import numpy as np
import json
import attr
from ..sphere import sphere
@attr.s
class TouchEvent(object):
event = attr.ib(default="NONE")
touch = attr.ib(default=None)
@attr.s
class Touch(object):
lonlat = attr.ib()
origin = attr.ib()
orig_t = attr.ib()
raw = attr.ib() t = attr.... | false | true |
1c10e9bac9d6d762037305c0ab0c65587a6395b8 | 2,086 | py | Python | crud/base.py | GDGSNF/ChefAPI | bede60dc392dac47982b324d3a4f2f430ef0026f | [
"MIT"
] | 11 | 2021-06-26T02:06:38.000Z | 2021-08-06T01:34:10.000Z | crud/base.py | yezz123/ChefAPI | bede60dc392dac47982b324d3a4f2f430ef0026f | [
"MIT"
] | 15 | 2021-09-05T14:59:01.000Z | 2021-09-06T08:43:31.000Z | crud/base.py | GDGSNF/ChefAPI | bede60dc392dac47982b324d3a4f2f430ef0026f | [
"MIT"
] | 2 | 2021-06-26T02:13:03.000Z | 2021-07-05T01:28:00.000Z | from typing import Any, Dict, Generic, List, Optional, Type, TypeVar, Union
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel
from sqlalchemy.orm import Session
from database.base_class import Base
ModelType = TypeVar("ModelType", bound=Base)
CreateSchemaType = TypeVar("CreateSchemaType", ... | 31.606061 | 80 | 0.626079 | from typing import Any, Dict, Generic, List, Optional, Type, TypeVar, Union
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel
from sqlalchemy.orm import Session
from database.base_class import Base
ModelType = TypeVar("ModelType", bound=Base)
CreateSchemaType = TypeVar("CreateSchemaType", ... | true | true |
1c10e9cc15113b8c8d667acd1230921139a69a6c | 130 | py | Python | Tensorflow Hello World/tensorflow_example.py | ahmedhamdy90/Deep-Learning-Neural-Network | 4a015b385958c313310aa9e30f6482431b1b845b | [
"MIT"
] | null | null | null | Tensorflow Hello World/tensorflow_example.py | ahmedhamdy90/Deep-Learning-Neural-Network | 4a015b385958c313310aa9e30f6482431b1b845b | [
"MIT"
] | null | null | null | Tensorflow Hello World/tensorflow_example.py | ahmedhamdy90/Deep-Learning-Neural-Network | 4a015b385958c313310aa9e30f6482431b1b845b | [
"MIT"
] | null | null | null | import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
session = tf.Session()
print(session.run(hello))
session.close() | 26 | 41 | 0.753846 | import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
session = tf.Session()
print(session.run(hello))
session.close() | true | true |
1c10eb4443b9793870ac337cc2edacbaf0404144 | 26,840 | py | Python | tools/gen-postmortem-metadata.py | fade-vivida/v8 | faaf4a8ab39bef429f38b1d3f72c4f5986412be5 | [
"BSD-3-Clause"
] | 1 | 2019-06-08T10:50:38.000Z | 2019-06-08T10:50:38.000Z | tools/gen-postmortem-metadata.py | fade-vivida/v8 | faaf4a8ab39bef429f38b1d3f72c4f5986412be5 | [
"BSD-3-Clause"
] | null | null | null | tools/gen-postmortem-metadata.py | fade-vivida/v8 | faaf4a8ab39bef429f38b1d3f72c4f5986412be5 | [
"BSD-3-Clause"
] | 1 | 2019-10-31T21:16:39.000Z | 2019-10-31T21:16:39.000Z | #!/usr/bin/env python
#
# Copyright 2012 the V8 project authors. 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
# not... | 39.587021 | 131 | 0.565648 |
# the generated libv8 binary.
#
# for py2/py3 compatibility
from __future__ import print_function
import re
import sys
#
# Miscellaneous constants such as tags and masks used for object identification,
# enumeration values used as indexes in internal tables, etc..
#
consts_misc = [
{ 'name': 'FirstNonstringTyp... | true | true |
1c10eb7352f719d5bebf123ea0e2676650ef0015 | 5,949 | py | Python | PoseNet/converter/tfjs2python.py | X-kimna/Music2Dance | f09932aeb7e5944902c82790dffca904d6e9dfab | [
"MIT"
] | 1 | 2020-12-08T13:10:25.000Z | 2020-12-08T13:10:25.000Z | PoseNet/converter/tfjs2python.py | X-kimna/Music2Dance | f09932aeb7e5944902c82790dffca904d6e9dfab | [
"MIT"
] | null | null | null | PoseNet/converter/tfjs2python.py | X-kimna/Music2Dance | f09932aeb7e5944902c82790dffca904d6e9dfab | [
"MIT"
] | null | null | null | import json
import struct
import tensorflow as tf
import cv2
import numpy as np
import os
import yaml
import sys
f = open("config.yaml", "r+")
cfg = yaml.load(f)
checkpoints = cfg['checkpoints']
imageSize = cfg['imageSize']
chk = cfg['chk']
outputStride = cfg['outputStride']
chkpoint = checkpoints[chk]
if chkpoint ==... | 29.894472 | 114 | 0.640108 | import json
import struct
import tensorflow as tf
import cv2
import numpy as np
import os
import yaml
import sys
f = open("config.yaml", "r+")
cfg = yaml.load(f)
checkpoints = cfg['checkpoints']
imageSize = cfg['imageSize']
chk = cfg['chk']
outputStride = cfg['outputStride']
chkpoint = checkpoints[chk]
if chkpoint ==... | true | true |
1c10ec741ce653c039c688bb5e8a895e2fd0d32f | 193 | py | Python | r3c0nutils/viewer.py | markgacoka/r3c0n | ac64614d10d176b9de2170ce8758a6aa75d75f54 | [
"MIT"
] | 4 | 2022-03-06T16:42:23.000Z | 2022-03-09T02:29:08.000Z | r3c0nutils/viewer.py | markgacoka/r3c0n | ac64614d10d176b9de2170ce8758a6aa75d75f54 | [
"MIT"
] | null | null | null | r3c0nutils/viewer.py | markgacoka/r3c0n | ac64614d10d176b9de2170ce8758a6aa75d75f54 | [
"MIT"
] | 1 | 2022-03-07T03:37:51.000Z | 2022-03-07T03:37:51.000Z | def show(output):
"""Print out an output based on the logging level
Args:
output: A string to be output
Returns:
prints out an output
"""
print(output) | 19.3 | 53 | 0.585492 | def show(output):
print(output) | true | true |
1c10eed720026095a65029c5519835384a8fe717 | 3,532 | py | Python | moabb/datasets/ssvep_nakanishi.py | ideaguy3d/moabb | 73d9a1e01f9d63c423fa855fb517b398d7e3cfc8 | [
"BSD-3-Clause"
] | 1 | 2021-06-15T19:55:46.000Z | 2021-06-15T19:55:46.000Z | moabb/datasets/ssvep_nakanishi.py | ideaguy3d/moabb | 73d9a1e01f9d63c423fa855fb517b398d7e3cfc8 | [
"BSD-3-Clause"
] | null | null | null | moabb/datasets/ssvep_nakanishi.py | ideaguy3d/moabb | 73d9a1e01f9d63c423fa855fb517b398d7e3cfc8 | [
"BSD-3-Clause"
] | null | null | null | """
SSVEP Nakanishi dataset.
"""
import logging
import numpy as np
from mne import create_info
from mne.channels import make_standard_montage
from mne.io import RawArray
from scipy.io import loadmat
from . import download as dl
from .base import BaseDataset
log = logging.getLogger(__name__)
NAKAHISHI_URL = "https... | 34.970297 | 89 | 0.587769 |
import logging
import numpy as np
from mne import create_info
from mne.channels import make_standard_montage
from mne.io import RawArray
from scipy.io import loadmat
from . import download as dl
from .base import BaseDataset
log = logging.getLogger(__name__)
NAKAHISHI_URL = "https://github.com/mnakanishi/12JFPM_S... | true | true |
1c10ef5db974385bc85ca00a729a7f9ed4fa7e5f | 878 | py | Python | sa/profiles/HP/ProCurve/get_chassis_id.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 84 | 2017-10-22T11:01:39.000Z | 2022-02-27T03:43:48.000Z | sa/profiles/HP/ProCurve/get_chassis_id.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 22 | 2017-12-11T07:21:56.000Z | 2021-09-23T02:53:50.000Z | sa/profiles/HP/ProCurve/get_chassis_id.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 23 | 2017-12-06T06:59:52.000Z | 2022-02-24T00:02:25.000Z | # ---------------------------------------------------------------------
# HP.ProCurve.get_chassis_id
# ---------------------------------------------------------------------
# Copyright (C) 2007-2010 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
# Pyt... | 30.275862 | 95 | 0.518223 |
import re
from noc.core.script.base import BaseScript
from noc.sa.interfaces.igetchassisid import IGetChassisID
class Script(BaseScript):
name = "HP.ProCurve.get_chassis_id"
cache = True
interface = IGetChassisID
rx_mac = re.compile(r"([0-9a-f]{6}-[0-9a-f]{6})", re.IGNORECASE | re.MULTILINE | re.D... | true | true |
1c10f243532c5950634fe99f08e061624816b4c6 | 19,902 | py | Python | clinica/pipelines/pet_surface/pet_surface_pipeline.py | alexandreroutier/clinica | 66625c65e74962db7d5cea267d1a0e51d774bf91 | [
"MIT"
] | null | null | null | clinica/pipelines/pet_surface/pet_surface_pipeline.py | alexandreroutier/clinica | 66625c65e74962db7d5cea267d1a0e51d774bf91 | [
"MIT"
] | null | null | null | clinica/pipelines/pet_surface/pet_surface_pipeline.py | alexandreroutier/clinica | 66625c65e74962db7d5cea267d1a0e51d774bf91 | [
"MIT"
] | null | null | null | # coding: utf-8
import clinica.pipelines.engine as cpe
class PetSurface(cpe.Pipeline):
"""PetSurface - Surface-based processing of PET images.
Returns:
A clinica pipeline object containing the PetSurface pipeline.
"""
def check_pipeline_parameters(self):
"""Check pipeline parameters... | 54.377049 | 145 | 0.44689 |
import clinica.pipelines.engine as cpe
class PetSurface(cpe.Pipeline):
def check_pipeline_parameters(self):
if 'acq_label' not in self.parameters.keys():
raise KeyError('Missing compulsory acq_label key in pipeline parameter.')
if 'suvr_reference_region' not in self.parameters.keys()... | true | true |
1c10f28c7813e27b8717078d4305d61cfd3c559d | 2,408 | py | Python | server/geography/migrations/0001_initial.py | tombushmitz86/vims | 1dcf1bf655ef8e33092f8e3e4cfbd11e11239e3e | [
"MIT"
] | null | null | null | server/geography/migrations/0001_initial.py | tombushmitz86/vims | 1dcf1bf655ef8e33092f8e3e4cfbd11e11239e3e | [
"MIT"
] | null | null | null | server/geography/migrations/0001_initial.py | tombushmitz86/vims | 1dcf1bf655ef8e33092f8e3e4cfbd11e11239e3e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2017-11-11 18:18
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.Crea... | 43.781818 | 149 | 0.596761 | 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.CreateModel(
name='Settlement',
fields=[
... | true | true |
1c10f2c083a6db310c008778ddccef9441bb5514 | 1,003 | py | Python | social/contrib/sites/migrations/0003_set_site_domain_and_name.py | mena-hub/social_site | 168637ae3b6c323c74303d98f6bb373caf7c4e00 | [
"MIT"
] | null | null | null | social/contrib/sites/migrations/0003_set_site_domain_and_name.py | mena-hub/social_site | 168637ae3b6c323c74303d98f6bb373caf7c4e00 | [
"MIT"
] | null | null | null | social/contrib/sites/migrations/0003_set_site_domain_and_name.py | mena-hub/social_site | 168637ae3b6c323c74303d98f6bb373caf7c4e00 | [
"MIT"
] | null | null | null | """
To understand why this file is here, please read:
http://cookiecutter-django.readthedocs.io/en/latest/faq.html#why-is-there-a-django-contrib-sites-directory-in-cookiecutter-django
"""
from django.conf import settings
from django.db import migrations
def update_site_forward(apps, schema_editor):
"""Set site d... | 28.657143 | 129 | 0.684945 | from django.conf import settings
from django.db import migrations
def update_site_forward(apps, schema_editor):
Site = apps.get_model("sites", "Site")
Site.objects.update_or_create(
id=settings.SITE_ID,
defaults={
"domain": "social.com",
"name": "social",
},
... | true | true |
1c10f2ec222a860d1c8af9198c04bb612c9283a4 | 2,493 | py | Python | Nile/Test.py | ee1tbg/elanFirstPyProj | 34dce646b14bf33d0adb673fbcd52a43986fe1cb | [
"MIT"
] | null | null | null | Nile/Test.py | ee1tbg/elanFirstPyProj | 34dce646b14bf33d0adb673fbcd52a43986fe1cb | [
"MIT"
] | null | null | null | Nile/Test.py | ee1tbg/elanFirstPyProj | 34dce646b14bf33d0adb673fbcd52a43986fe1cb | [
"MIT"
] | null | null | null | def test_function(fn):
if fn.__name__ == "calculate_shipping_cost":
test_shipping(fn)
if fn.__name__ == "calculate_driver_cost":
test_driver(fn)
if fn.__name__ == "calculate_money_made":
test_money(fn)
def test_shipping(f):
try:
costs = f((0, 0), (1, 1))
e... | 34.150685 | 123 | 0.626955 | def test_function(fn):
if fn.__name__ == "calculate_shipping_cost":
test_shipping(fn)
if fn.__name__ == "calculate_driver_cost":
test_driver(fn)
if fn.__name__ == "calculate_money_made":
test_money(fn)
def test_shipping(f):
try:
costs = f((0, 0), (1, 1))
e... | true | true |
1c10f340eac57bfba616626e29ffdf1be8fe2414 | 922 | py | Python | backend/rumergy_backend/rumergy/models/user_profile.py | Firefly-Tech/rumergy-webapp | 859054bd9ee710a11b393027bb9cb1bad55d0f00 | [
"MIT"
] | 1 | 2021-11-08T00:28:37.000Z | 2021-11-08T00:28:37.000Z | backend/rumergy_backend/rumergy/models/user_profile.py | Firefly-Tech/rumergy-webapp | 859054bd9ee710a11b393027bb9cb1bad55d0f00 | [
"MIT"
] | 1 | 2021-11-02T02:17:37.000Z | 2021-11-02T02:17:37.000Z | backend/rumergy_backend/rumergy/models/user_profile.py | Firefly-Tech/rumergy-webapp | 859054bd9ee710a11b393027bb9cb1bad55d0f00 | [
"MIT"
] | 1 | 2021-10-18T22:27:04.000Z | 2021-10-18T22:27:04.000Z | from django.db import models
from django.utils.translation import gettext_lazy as _
from django.contrib.auth.models import User
from django.dispatch import receiver
from django.db.models.signals import post_save
from rumergy_backend import settings
class UserProfile(models.Model):
"""Model for non-auth related us... | 31.793103 | 86 | 0.706074 | from django.db import models
from django.utils.translation import gettext_lazy as _
from django.contrib.auth.models import User
from django.dispatch import receiver
from django.db.models.signals import post_save
from rumergy_backend import settings
class UserProfile(models.Model):
user = models.OneToOneField(
... | true | true |
1c10f3f5ca030c9e72f8f40128551f04783725f6 | 1,760 | py | Python | scripts/create_update.py | YuricaKirisame/Store | c8cdef1473e4e23869372dbcf8c4e3111b641ccb | [
"MIT"
] | 99 | 2017-10-26T17:53:03.000Z | 2022-03-29T20:05:42.000Z | scripts/create_update.py | YuricaKirisame/Store | c8cdef1473e4e23869372dbcf8c4e3111b641ccb | [
"MIT"
] | 146 | 2017-11-02T19:09:21.000Z | 2022-02-06T07:27:25.000Z | scripts/create_update.py | YuricaKirisame/Store | c8cdef1473e4e23869372dbcf8c4e3111b641ccb | [
"MIT"
] | 53 | 2018-02-05T12:03:55.000Z | 2022-01-17T15:07:07.000Z | # Help
# import vdf by running pip3 install vdf in console.
# place your items.txt file into the dir with this scirpt.
# edit INPUT_FILE_NAME & OUTPUT_FILE_NAME
# python3 create_update.py
import vdf
import os
CURRECT_DIR = os.path.dirname(os.path.realpath(__file__))
INPUT_FILE_NAME = "items.txt"
OUTPUT_FILE_NAME = "u... | 34.509804 | 165 | 0.6 |
import vdf
import os
CURRECT_DIR = os.path.dirname(os.path.realpath(__file__))
INPUT_FILE_NAME = "items.txt"
OUTPUT_FILE_NAME = "update.sql"
items = vdf.load(open("{}/{}".format(CURRECT_DIR, INPUT_FILE_NAME)))
output = open("{}/{}".format(CURRECT_DIR, OUTPUT_FILE_NAME),"w+")
items = {**items["Store"]["VIP Area"], *... | true | true |
1c10f48117a643fbf60afca704f38d2d748f27f4 | 1,721 | py | Python | class-randomness-is-all-around/code/week4/04-videoGridRandom.py | montoyamoraga/classes | 4392b7ff5db7a42730e9856e2ed5e5a81859ab54 | [
"MIT"
] | null | null | null | class-randomness-is-all-around/code/week4/04-videoGridRandom.py | montoyamoraga/classes | 4392b7ff5db7a42730e9856e2ed5e5a81859ab54 | [
"MIT"
] | null | null | null | class-randomness-is-all-around/code/week4/04-videoGridRandom.py | montoyamoraga/classes | 4392b7ff5db7a42730e9856e2ed5e5a81859ab54 | [
"MIT"
] | null | null | null | ## example based on Video Grid example from VidPy website
## https://antiboredom.github.io/vidpy/examples.html
# import vidpy module
from vidpy import Clip, Composition
# import random module
import random
# video location in hard drive
video = 'videos/video4.mp4'
# canvas width and height
# this matches the dimensi... | 23.256757 | 70 | 0.693202 |
from vidpy import Clip, Composition
import random
video = 'videos/video4.mp4'
canvasWidth = 1280
canvasHeight = 720
horizontalVideos = 3
vidWidth = canvasWidth / horizontalVideos
vidHeight = (vidWidth/canvasWidth) * canvasHeight
x = 0
y = 0
delta = 5
clips = []
while y < canvasHeight:
clip = Clip(video... | true | true |
1c10f62259d36632f35ce894a99c4167d399beef | 968 | py | Python | examples/common/common_operations/schema.py | rijacobsen/dj-docs | dd9d399940f69202731fdac654d71424042d3ade | [
"MIT"
] | null | null | null | examples/common/common_operations/schema.py | rijacobsen/dj-docs | dd9d399940f69202731fdac654d71424042d3ade | [
"MIT"
] | 8 | 2020-05-18T15:05:53.000Z | 2022-03-01T10:33:14.000Z | examples/common/common_operations/schema.py | rijacobsen/dj-docs | dd9d399940f69202731fdac654d71424042d3ade | [
"MIT"
] | 7 | 2019-09-19T13:58:32.000Z | 2022-03-01T10:50:49.000Z | import csv
import datajoint as dj
schema = dj.schema("group_shared_datajoint_example")
@schema
class Pantheon(dj.Lookup):
definition = """
pantheon : varchar(16)
---
earliest : int
latest: int
"""
@schema
class Deity(dj.Manual):
definition = """
name : varchar(16)
---
-> Pant... | 22 | 77 | 0.551653 | import csv
import datajoint as dj
schema = dj.schema("group_shared_datajoint_example")
@schema
class Pantheon(dj.Lookup):
definition = """
pantheon : varchar(16)
---
earliest : int
latest: int
"""
@schema
class Deity(dj.Manual):
definition = """
name : varchar(16)
---
-> Pant... | true | true |
1c10f71a6243b87586311b075f6a12f8f2c0e470 | 4,585 | py | Python | LP2/Exercicio Banco/banco.py | luisxfelipe/Faculdade_Impacta_2semestre | ad6e0bcc22496bb96f56c5ca3d930554dd5302a4 | [
"Apache-2.0"
] | null | null | null | LP2/Exercicio Banco/banco.py | luisxfelipe/Faculdade_Impacta_2semestre | ad6e0bcc22496bb96f56c5ca3d930554dd5302a4 | [
"Apache-2.0"
] | 6 | 2020-06-05T20:57:34.000Z | 2022-03-11T23:47:43.000Z | LP2/Exercicio Banco/banco.py | luisxfelipe/Faculdade_Impacta_2semestre | ad6e0bcc22496bb96f56c5ca3d930554dd5302a4 | [
"Apache-2.0"
] | null | null | null | from typing import List, Union
Number = Union[int, float]
"""
1) Termine os métodos calcula_juros() e saque(valor) da
classe ContaPoupanca
2) Termine o método calcula_juros() da classe ContaCorrente
3) Adicione um atributo à classe Conta chamado _operacoes:
self._operacoes = []
Ele servirá para guar... | 24.918478 | 77 | 0.592366 | from typing import List, Union
Number = Union[int, float]
class Cliente:
def __init__(self, nome: str, telefone: int, email: str) -> None:
self._nome = nome
self._tel = telefone
self._email = email
def get_nome(self) -> str:
return self._nome
def get_telefone(self) -> int... | true | true |
1c10f7662b28da9e434b1b4e564e2b383a8f32fe | 2,803 | py | Python | azure-mgmt-network/azure/mgmt/network/v2019_02_01/models/virtual_network_gateway_ip_configuration.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | azure-mgmt-network/azure/mgmt/network/v2019_02_01/models/virtual_network_gateway_ip_configuration.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-network/azure/mgmt/network/v2019_02_01/models/virtual_network_gateway_ip_configuration.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 43.123077 | 103 | 0.655012 |
from .sub_resource import SubResource
class VirtualNetworkGatewayIPConfiguration(SubResource):
_validation = {
'provisioning_state': {'readonly': True},
}
_attribute_map = {
'id': {'key': 'id', 'type': 'str'},
'private_ip_allocation_method': {'key': 'properties.privateIPAllocati... | true | true |
1c10f7e7536f6f5140bac39d1f66ec93da98508a | 11,896 | py | Python | stats/trace_ip.py | private-octopus/diana | af8ffaac4a8fad26bf78104e5238e358a5ad8b21 | [
"MIT"
] | 3 | 2018-02-15T20:00:44.000Z | 2020-07-16T06:08:20.000Z | stats/trace_ip.py | private-octopus/diana | af8ffaac4a8fad26bf78104e5238e358a5ad8b21 | [
"MIT"
] | 111 | 2017-11-04T23:13:38.000Z | 2021-05-20T00:12:28.000Z | stats/trace_ip.py | private-octopus/dianal | af8ffaac4a8fad26bf78104e5238e358a5ad8b21 | [
"MIT"
] | 5 | 2018-06-21T08:18:26.000Z | 2021-10-11T02:02:54.000Z |
#!/usr/bin/python
# coding=utf-8
#
# This script takes into input a list of addresses that needs to be traced,
# and a list of folders containing traces per five minute slice. It produces
# for each address a csv file with one row per 5-minute slice and
# one column per server-specific folder, showing how much traffic... | 38.128205 | 187 | 0.590282 |
import codecs
import sys
import os
from os import listdir
from os.path import isfile, join
from address_file import address_line, address_file_line, source_file, slice_to_time, time_to_slice
import gzip
import concurrent.futures
import traceback
import time
import ipaddress
import ip2as
import datetime
class trace_i... | true | true |
1c10f8c6ba10e4e240e4937e708bb210589f3931 | 3,884 | py | Python | tests/unit/test_context.py | nathanctech/pipsqueak3 | f5c038fcecb0f54a6a71f6000c13e683ae72920f | [
"BSD-3-Clause"
] | null | null | null | tests/unit/test_context.py | nathanctech/pipsqueak3 | f5c038fcecb0f54a6a71f6000c13e683ae72920f | [
"BSD-3-Clause"
] | null | null | null | tests/unit/test_context.py | nathanctech/pipsqueak3 | f5c038fcecb0f54a6a71f6000c13e683ae72920f | [
"BSD-3-Clause"
] | null | null | null | """
test_context.py - Tests for Context
test suite for the Context module
Copyright (c) 2018 The Fuel Rat Mischief,
All rights reserved.
Licensed under the BSD 3-Clause License.
See LICENSE.md
"""
import pytest
from src.packages.context.context import Context, _split_message
pytestmark = [pytest.mark.unit, pytest... | 34.371681 | 99 | 0.504377 | import pytest
from src.packages.context.context import Context, _split_message
pytestmark = [pytest.mark.unit, pytest.mark.context]
def test_constructor(bot_fx, user_fx):
my_context = Context(bot_fx, user_fx, "#unittest", ["bird", "is", "the", "word"], [""])
assert my_context.bot is bot_fx
assert my_co... | true | true |
1c10f930406d0d842bde7039b462cbd6bd42d3c5 | 1,509 | py | Python | sympy/polys/benchmarks/bench_galoispolys.py | msgoff/sympy | 1e7daef7514902f5e89718fa957b7b36c6669a10 | [
"BSD-3-Clause"
] | null | null | null | sympy/polys/benchmarks/bench_galoispolys.py | msgoff/sympy | 1e7daef7514902f5e89718fa957b7b36c6669a10 | [
"BSD-3-Clause"
] | null | null | null | sympy/polys/benchmarks/bench_galoispolys.py | msgoff/sympy | 1e7daef7514902f5e89718fa957b7b36c6669a10 | [
"BSD-3-Clause"
] | null | null | null | """Benchmarks for polynomials over Galois fields. """
from __future__ import print_function, division
from sympy.polys.galoistools import gf_from_dict, gf_factor_sqf
from sympy.polys.domains import ZZ
from sympy import pi, nextprime
def gathen_poly(n, p, K):
return gf_from_dict({n: K.one, 1: K.one, 0: K.one}, p... | 21.869565 | 63 | 0.695825 |
from __future__ import print_function, division
from sympy.polys.galoistools import gf_from_dict, gf_factor_sqf
from sympy.polys.domains import ZZ
from sympy import pi, nextprime
def gathen_poly(n, p, K):
return gf_from_dict({n: K.one, 1: K.one, 0: K.one}, p, K)
def shoup_poly(n, p, K):
f = [K.one] * (n +... | true | true |
1c10faa68cf0485137712d00eb14344b6e51700d | 2,952 | py | Python | lib/modules/powershell/management/get_domain_sid.py | lex0tanl/Empire | c8217e87cf333797eb363b782f769cc4b2f64b0b | [
"BSD-3-Clause"
] | 3 | 2018-01-05T03:59:44.000Z | 2020-02-11T03:25:46.000Z | lib/modules/powershell/management/get_domain_sid.py | gcxtx/Empire | dfb049ed48165eff2a8c1fe41941d0fbfa42df31 | [
"BSD-3-Clause"
] | null | null | null | lib/modules/powershell/management/get_domain_sid.py | gcxtx/Empire | dfb049ed48165eff2a8c1fe41941d0fbfa42df31 | [
"BSD-3-Clause"
] | 3 | 2017-11-27T07:29:34.000Z | 2018-09-23T06:27:05.000Z | from lib.common import helpers
class Module:
def __init__(self, mainMenu, params=[]):
self.info = {
'Name': 'Get-DomainSID',
'Author': ['@harmj0y'],
'Description': ('Returns the SID for the current of specified domain.'),
'Background' : True,
... | 33.168539 | 116 | 0.50542 | from lib.common import helpers
class Module:
def __init__(self, mainMenu, params=[]):
self.info = {
'Name': 'Get-DomainSID',
'Author': ['@harmj0y'],
'Description': ('Returns the SID for the current of specified domain.'),
'Background' : True,
... | false | true |
1c10fb0ab5700a9abd3a5da6855de061a51bd3c0 | 995 | py | Python | setup.py | yaqwsx/ElegooMarsUtility | abd566ead4aaacc9e17259f66e49520dd6c61dcd | [
"MIT"
] | 30 | 2019-11-13T19:19:58.000Z | 2022-01-25T21:12:10.000Z | setup.py | yaqwsx/ElegooMarsUtilitiy | abd566ead4aaacc9e17259f66e49520dd6c61dcd | [
"MIT"
] | 5 | 2019-12-29T04:58:00.000Z | 2021-02-19T10:07:53.000Z | setup.py | yaqwsx/ElegooMarsUtilitiy | abd566ead4aaacc9e17259f66e49520dd6c61dcd | [
"MIT"
] | 1 | 2021-04-18T19:06:54.000Z | 2021-04-18T19:06:54.000Z | # -*- coding: utf-8 -*-
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="ElegooMarsUtility",
version="0.2.2",
author="Jan Mrázek",
author_email="email@honzamrazek.cz",
description="Utility to post process sliced models for Elegoo Mars"... | 26.184211 | 72 | 0.621106 |
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="ElegooMarsUtility",
version="0.2.2",
author="Jan Mrázek",
author_email="email@honzamrazek.cz",
description="Utility to post process sliced models for Elegoo Mars",
long_description=l... | true | true |
1c10fb8250954a11a8554d525b0b509dd654dba7 | 76,554 | py | Python | third_party/bazel/protos/crosstool_config_pb2.py | Ewpratten/frc_971_mirror | 3a8a0c4359f284d29547962c2b4c43d290d8065c | [
"BSD-2-Clause"
] | null | null | null | third_party/bazel/protos/crosstool_config_pb2.py | Ewpratten/frc_971_mirror | 3a8a0c4359f284d29547962c2b4c43d290d8065c | [
"BSD-2-Clause"
] | null | null | null | third_party/bazel/protos/crosstool_config_pb2.py | Ewpratten/frc_971_mirror | 3a8a0c4359f284d29547962c2b4c43d290d8065c | [
"BSD-2-Clause"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: src/main/protobuf/crosstool_config.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.pr... | 48.916294 | 8,397 | 0.750647 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf i... | true | true |
1c10fbd3a7275ff1bb403fb1152c73eeb304a6f2 | 132 | py | Python | python/hello-sphinx/tests/test_nwispy.py | jlant/playground | e3488ad93c1edc5285a693a58a9be886000c5bf5 | [
"MIT"
] | null | null | null | python/hello-sphinx/tests/test_nwispy.py | jlant/playground | e3488ad93c1edc5285a693a58a9be886000c5bf5 | [
"MIT"
] | null | null | null | python/hello-sphinx/tests/test_nwispy.py | jlant/playground | e3488ad93c1edc5285a693a58a9be886000c5bf5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
def test_hello():
assert 0 # phony test to force failure for now
| 16.5 | 51 | 0.651515 |
import pytest
def test_hello():
assert 0 | true | true |
1c10fc20a3fe7b412a9339bf55740091fd684119 | 2,314 | py | Python | Python/Golden_Section.py | CleverChuk/Numerical-Analysis | 1131aa56955c883bcb28859868121c4ee80d9c04 | [
"MIT"
] | null | null | null | Python/Golden_Section.py | CleverChuk/Numerical-Analysis | 1131aa56955c883bcb28859868121c4ee80d9c04 | [
"MIT"
] | null | null | null | Python/Golden_Section.py | CleverChuk/Numerical-Analysis | 1131aa56955c883bcb28859868121c4ee80d9c04 | [
"MIT"
] | null | null | null | """
Golden Section search Implementation
"NOT COMPLETE"
"""
import math as mt
from Nu_Meth import Nu_Meth
class GoldenSection(Nu_Meth):
gR = 1.618
def __init__(self, fptr, maxIter = 500, tol = 0.0001):
self._fptr = fptr
self._max_iter = maxIter
self._tol = tol
def execute(s... | 17.8 | 120 | 0.451599 | import math as mt
from Nu_Meth import Nu_Meth
class GoldenSection(Nu_Meth):
gR = 1.618
def __init__(self, fptr, maxIter = 500, tol = 0.0001):
self._fptr = fptr
self._max_iter = maxIter
self._tol = tol
def execute(self, a, b, minimax = 0):
f_a = self._fptr(a)
f_b = s... | true | true |
1c10fd2736d1e25c5d41725d287020ac7bb6cda3 | 2,048 | py | Python | inhomogenousPaths/boSolverInhomogenous.py | andrewwarrington/cost-optimal-particle-filter | a6acb60ca90c7f7b984182891d39adeb7e05724f | [
"MIT"
] | 2 | 2018-06-20T21:17:47.000Z | 2018-09-07T01:27:26.000Z | inhomogenousPaths/boSolverInhomogenous.py | andrewwarrington/cost-optimal-particle-filter | a6acb60ca90c7f7b984182891d39adeb7e05724f | [
"MIT"
] | null | null | null | inhomogenousPaths/boSolverInhomogenous.py | andrewwarrington/cost-optimal-particle-filter | a6acb60ca90c7f7b984182891d39adeb7e05724f | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2018, Andrew Warrington.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify,... | 27.675676 | 111 | 0.757813 |
import numpy as np
import matplotlib.pyplot as plt
import time
import os
import copy
import GPy
import GPyOpt
from functools import partial
import inhomogenousPaths.generateRandomCourse as grc
import inhomogenousPaths.evaluateScheduleAndCourse as esac
samplesToMake = 1
course = grc.generate_course(2)
plt.figure()
... | true | true |
1c10fdf1aa45ebde8b6d1d991af96768ed15bf0d | 3,679 | py | Python | plugins/tts/espeak-tts/espeak.py | kowo-zahl/Naomi | 476cfc42036a1ac88e33451431fc64d5ea1aa49a | [
"MIT"
] | 194 | 2018-07-28T14:54:35.000Z | 2022-03-18T12:40:10.000Z | plugins/tts/espeak-tts/espeak.py | HoltTechnologyCorporation/Naomi | 16d5f6ba03ea96c3fa13ed4e2c1f082041d9de31 | [
"MIT"
] | 239 | 2018-07-13T16:15:25.000Z | 2022-03-31T17:55:01.000Z | plugins/tts/espeak-tts/espeak.py | Longshotpro2/Naomi | 9330c63fe24606dc45194d297c665f37a4ec10f7 | [
"MIT"
] | 64 | 2018-07-26T02:18:33.000Z | 2022-01-07T06:53:01.000Z | import collections
import pipes
import re
import unittest
from naomi import diagnose
from naomi import plugin
from naomi import profile
from naomi.run_command import run_command
if not diagnose.check_executable('espeak'):
raise unittest.SkipTest("Skipping espeak, executable not found")
raise ImportError("espea... | 33.752294 | 83 | 0.550965 | import collections
import pipes
import re
import unittest
from naomi import diagnose
from naomi import plugin
from naomi import profile
from naomi.run_command import run_command
if not diagnose.check_executable('espeak'):
raise unittest.SkipTest("Skipping espeak, executable not found")
raise ImportError("espea... | true | true |
1c10fe693c31bf1771a2198560e6bd0c1db521b0 | 14,046 | py | Python | data/field.py | Kilichbek/artemis-m2-transformer | 99f7e797965710bf2565283d6b5028a6fe32664c | [
"MIT"
] | 8 | 2021-02-02T02:42:55.000Z | 2021-03-26T14:47:58.000Z | data/field.py | Kilichbek/artemis-m2-transformer | 99f7e797965710bf2565283d6b5028a6fe32664c | [
"MIT"
] | null | null | null | data/field.py | Kilichbek/artemis-m2-transformer | 99f7e797965710bf2565283d6b5028a6fe32664c | [
"MIT"
] | 1 | 2021-07-16T08:24:15.000Z | 2021-07-16T08:24:15.000Z | # coding: utf8
import base64
import csv
import os
import pickle
import shutil
import sys
import warnings
from collections import Counter, OrderedDict
from itertools import chain
import numpy as np
import six
import torch
from torch.utils.data.dataloader import default_collate
from tqdm import tqdm
from .dataset impor... | 40.131429 | 108 | 0.593763 | import base64
import csv
import os
import pickle
import shutil
import sys
import warnings
from collections import Counter, OrderedDict
from itertools import chain
import numpy as np
import six
import torch
from torch.utils.data.dataloader import default_collate
from tqdm import tqdm
from .dataset import Dataset
from ... | true | true |
1c10feeb5a66ffc6e91ca3f7af1a35a187f625c7 | 424 | py | Python | fzw/news/migrations/0009_news_analysis_url.py | fajnie-ze-wiesz/fzw-backend | eb7942bbf884a1269cfe0ad336187ffa979b4d12 | [
"MIT"
] | 1 | 2018-03-31T14:07:28.000Z | 2018-03-31T14:07:28.000Z | fzw/news/migrations/0009_news_analysis_url.py | fajnie-ze-wiesz/fzw-backend | eb7942bbf884a1269cfe0ad336187ffa979b4d12 | [
"MIT"
] | 2 | 2020-06-06T06:27:44.000Z | 2020-12-23T14:13:50.000Z | fzw/news/migrations/0009_news_analysis_url.py | fajnie-ze-wiesz/fzw-backend | eb7942bbf884a1269cfe0ad336187ffa979b4d12 | [
"MIT"
] | null | null | null | # pylint: disable=invalid-name
# Generated by Django 3.0.7 on 2021-01-26 11:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('news', '0008_auto_20201221_1204'),
]
operations = [
migrations.AddField(
model_name='news',
... | 21.2 | 58 | 0.606132 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('news', '0008_auto_20201221_1204'),
]
operations = [
migrations.AddField(
model_name='news',
name='analysis_url',
field=models.URLField(blank=True, defau... | true | true |
1c110009b43a8ae59f1713561146800a342ccd61 | 47,538 | py | Python | planemo/shed/__init__.py | pvanheus/planemo | 12c4256325bb1b274dcd40d64b91c1f832cf49b1 | [
"CC-BY-3.0"
] | null | null | null | planemo/shed/__init__.py | pvanheus/planemo | 12c4256325bb1b274dcd40d64b91c1f832cf49b1 | [
"CC-BY-3.0"
] | 1 | 2016-09-14T18:09:59.000Z | 2016-09-14T18:09:59.000Z | planemo/shed/__init__.py | jmchilton/planemo | d352a085fe10cb6b7c1384663b114201da42d97b | [
"CC-BY-3.0"
] | null | null | null | """Abstractions for shed related interactions used by the rest of planemo."""
import contextlib
import copy
import fnmatch
import hashlib
import json
import os
import re
import shutil
import sys
import tarfile
from collections import namedtuple
from tempfile import (
mkstemp,
)
import bioblend
import six
import ya... | 33.336606 | 237 | 0.636144 | import contextlib
import copy
import fnmatch
import hashlib
import json
import os
import re
import shutil
import sys
import tarfile
from collections import namedtuple
from tempfile import (
mkstemp,
)
import bioblend
import six
import yaml
from galaxy.util import (
odict,
unicodify,
)
from planemo import ... | true | true |
1c11009a99a9ca743e2a9606688b17698063dded | 21,923 | py | Python | python/tvm/runtime/vm.py | onkar-sima-ai/tvm | 2d321202fb2683edc5b18179ac564b5218e2fcbf | [
"Apache-2.0"
] | null | null | null | python/tvm/runtime/vm.py | onkar-sima-ai/tvm | 2d321202fb2683edc5b18179ac564b5218e2fcbf | [
"Apache-2.0"
] | 2 | 2021-02-04T21:31:34.000Z | 2021-04-09T22:39:56.000Z | python/tvm/runtime/vm.py | onkar-sima-ai/tvm | 2d321202fb2683edc5b18179ac564b5218e2fcbf | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 35.0768 | 108 | 0.602564 | import numpy as np
import tvm
from tvm.runtime import Module
from tvm._ffi.runtime_ctypes import TVMByteArray
from tvm._ffi import base as _base
from .object import Object
from . import _ffi_api, container
from ..rpc.base import RPC_SESS_MASK
def _convert(arg, cargs):
if isinstance(arg, Object):
cargs.ap... | true | true |
1c1100fc561cc12d695a0f02e582a1b5cd0e076d | 2,395 | py | Python | teuthology/task/proc_thrasher.py | zhsj/teuthology | 7f11a09f2b7d7406d65f21a85fc2e3db395a95a0 | [
"MIT"
] | 1 | 2018-05-17T13:02:42.000Z | 2018-05-17T13:02:42.000Z | teuthology/task/proc_thrasher.py | zhsj/teuthology | 7f11a09f2b7d7406d65f21a85fc2e3db395a95a0 | [
"MIT"
] | 1 | 2021-02-23T19:06:55.000Z | 2021-02-23T19:06:55.000Z | teuthology/task/proc_thrasher.py | zhsj/teuthology | 7f11a09f2b7d7406d65f21a85fc2e3db395a95a0 | [
"MIT"
] | 2 | 2019-09-26T09:31:37.000Z | 2019-09-26T09:36:30.000Z | """
Process thrasher
"""
import logging
import gevent
import random
import time
from ..orchestra import run
log = logging.getLogger(__name__)
class ProcThrasher:
""" Kills and restarts some number of the specified process on the specified
remote
"""
def __init__(self, config, remote, *proc_args, ... | 29.567901 | 97 | 0.545303 | import logging
import gevent
import random
import time
from ..orchestra import run
log = logging.getLogger(__name__)
class ProcThrasher:
def __init__(self, config, remote, *proc_args, **proc_kwargs):
self.proc_kwargs = proc_kwargs
self.proc_args = proc_args
self.config = config
se... | true | true |
1c1101b8065e5dd660e5d97ae778a5b13363d5bc | 427 | py | Python | examples-python/simple_hive_context.py | vaquarkhan/mist-with-spark | 1602ee890aef86c7d22448d4f9804eb43ecc1311 | [
"Apache-2.0"
] | 2 | 2018-08-31T06:06:56.000Z | 2020-01-07T11:29:41.000Z | examples-python/simple_hive_context.py | vaquarkhan/mist-with-spark | 1602ee890aef86c7d22448d4f9804eb43ecc1311 | [
"Apache-2.0"
] | null | null | null | examples-python/simple_hive_context.py | vaquarkhan/mist-with-spark | 1602ee890aef86c7d22448d4f9804eb43ecc1311 | [
"Apache-2.0"
] | null | null | null | from mist.mist_job import *
class SimpleHiveContext(MistJob, WithSQLSupport, WithHiveSupport):
def execute(self, path):
df = self.hive_context.read.json(path)
df.printSchema()
df.registerTempTable("people")
df.show()
df2 = self.hive_context.sql("SELECT AVG(age) AS avg_age ... | 25.117647 | 77 | 0.632319 | from mist.mist_job import *
class SimpleHiveContext(MistJob, WithSQLSupport, WithHiveSupport):
def execute(self, path):
df = self.hive_context.read.json(path)
df.printSchema()
df.registerTempTable("people")
df.show()
df2 = self.hive_context.sql("SELECT AVG(age) AS avg_age ... | true | true |
1c1103ee14e4e83c51057989db1739b637af9157 | 2,142 | py | Python | cvtest.py | SmaugTheTerrible/cvtest | ebca2da96d4d03d8ef5c5f64ae997de9a7e8dde0 | [
"MIT"
] | null | null | null | cvtest.py | SmaugTheTerrible/cvtest | ebca2da96d4d03d8ef5c5f64ae997de9a7e8dde0 | [
"MIT"
] | null | null | null | cvtest.py | SmaugTheTerrible/cvtest | ebca2da96d4d03d8ef5c5f64ae997de9a7e8dde0 | [
"MIT"
] | null | null | null | import cv2
import numpy
import pyautogui
import threading
def match(template, source=None, method=cv2.TM_CCOEFF_NORMED, threshold=0.95):
if (source is None):
source = screenshot()
res = cv2.matchTemplate(source, template, method)
loc = numpy.where(res >= threshold)
return zip(*loc[::-1])
de... | 22.082474 | 78 | 0.631653 | import cv2
import numpy
import pyautogui
import threading
def match(template, source=None, method=cv2.TM_CCOEFF_NORMED, threshold=0.95):
if (source is None):
source = screenshot()
res = cv2.matchTemplate(source, template, method)
loc = numpy.where(res >= threshold)
return zip(*loc[::-1])
de... | true | true |
1c110441731b32962a864bc70e5b5d0347647bdd | 2,813 | py | Python | examples/basic_example.py | EleutherAI/tqdm-multiprocess | fccefc473595055bf3a5e74bcf8a75b3a9517638 | [
"MIT"
] | 30 | 2020-10-23T05:32:01.000Z | 2021-12-08T21:11:43.000Z | examples/basic_example.py | EleutherAI/tqdm-multiprocess | fccefc473595055bf3a5e74bcf8a75b3a9517638 | [
"MIT"
] | null | null | null | examples/basic_example.py | EleutherAI/tqdm-multiprocess | fccefc473595055bf3a5e74bcf8a75b3a9517638 | [
"MIT"
] | 1 | 2020-10-26T16:39:06.000Z | 2020-10-26T16:39:06.000Z | from time import sleep
import multiprocessing
import tqdm
import logging
from tqdm_multiprocess.logger import setup_logger_tqdm
logger = logging.getLogger(__name__)
from tqdm_multiprocess import TqdmMultiProcessPool
iterations1 = 100
iterations2 = 5
iterations3 = 2
def some_other_function(tqdm_func, global_tqdm):
... | 40.768116 | 110 | 0.668326 | from time import sleep
import multiprocessing
import tqdm
import logging
from tqdm_multiprocess.logger import setup_logger_tqdm
logger = logging.getLogger(__name__)
from tqdm_multiprocess import TqdmMultiProcessPool
iterations1 = 100
iterations2 = 5
iterations3 = 2
def some_other_function(tqdm_func, global_tqdm):
... | true | true |
1c1104bad438c19d7251bf3ff9a2c29b30f73cd1 | 3,646 | py | Python | cpapi/api_response.py | chkp-ofer/cp_mgmt_api_python_sdk | 22723052348e83043ec7ed8e4ddcd8a608aeb10e | [
"Apache-2.0"
] | null | null | null | cpapi/api_response.py | chkp-ofer/cp_mgmt_api_python_sdk | 22723052348e83043ec7ed8e4ddcd8a608aeb10e | [
"Apache-2.0"
] | null | null | null | cpapi/api_response.py | chkp-ofer/cp_mgmt_api_python_sdk | 22723052348e83043ec7ed8e4ddcd8a608aeb10e | [
"Apache-2.0"
] | null | null | null | import json
import sys
# compatible import for python 2 and 3
from .api_exceptions import APIException
if sys.version_info >= (3, 0):
from http.client import HTTPResponse
else:
from httplib import HTTPResponse
# compatible iterator for python 2 and 3
def iteritems(data):
if sys.version_info >= (3, 0):
... | 32.846847 | 113 | 0.603675 | import json
import sys
from .api_exceptions import APIException
if sys.version_info >= (3, 0):
from http.client import HTTPResponse
else:
from httplib import HTTPResponse
def iteritems(data):
if sys.version_info >= (3, 0):
return data.items()
else:
return data.iteritems()
def extrac... | true | true |
1c1105ad3e9262a31174bb28b475bee65a2270c3 | 744 | py | Python | backprop/models/t5_qa_summary_emotion/models_list.py | lucky7323/backprop | 4daa756f3a46600d4dfa0631bb3607237df1fed6 | [
"Apache-2.0"
] | null | null | null | backprop/models/t5_qa_summary_emotion/models_list.py | lucky7323/backprop | 4daa756f3a46600d4dfa0631bb3607237df1fed6 | [
"Apache-2.0"
] | null | null | null | backprop/models/t5_qa_summary_emotion/models_list.py | lucky7323/backprop | 4daa756f3a46600d4dfa0631bb3607237df1fed6 | [
"Apache-2.0"
] | null | null | null | t5_base_qa_summary_emotion = {
"description": "This is the T5 base model by Google, and has been finetuned further for Q&A, Summarisation, and Sentiment analysis (emotion detection).",
"tasks": ["text-generation", "emotion", "summarisation", "qa"],
"init_kwargs": {
"model_path": "kiri-ai/t5-base-qa-... | 28.615385 | 157 | 0.557796 | t5_base_qa_summary_emotion = {
"description": "This is the T5 base model by Google, and has been finetuned further for Q&A, Summarisation, and Sentiment analysis (emotion detection).",
"tasks": ["text-generation", "emotion", "summarisation", "qa"],
"init_kwargs": {
"model_path": "kiri-ai/t5-base-qa-... | true | true |
1c1105c259357eea406f34a91ddee5d8c28179b1 | 17,790 | py | Python | Demo/tkinter/guido/solitaire.py | arvindm95/unladen-swallow | 8175e37eaea7ca66ed03283b46bc1d2db0d3f9c3 | [
"PSF-2.0"
] | 2,293 | 2015-01-02T12:46:10.000Z | 2022-03-29T09:45:43.000Z | python/src/Demo/tkinter/guido/solitaire.py | weiqiangzheng/sl4a | d3c17dca978cbeee545e12ea240a9dbf2a6999e9 | [
"Apache-2.0"
] | 315 | 2015-05-31T11:55:46.000Z | 2022-01-12T08:36:37.000Z | python/src/Demo/tkinter/guido/solitaire.py | weiqiangzheng/sl4a | d3c17dca978cbeee545e12ea240a9dbf2a6999e9 | [
"Apache-2.0"
] | 1,033 | 2015-01-04T07:48:40.000Z | 2022-03-24T09:34:37.000Z | #! /usr/bin/env python
"""Solitaire game, much like the one that comes with MS Windows.
Limitations:
- No cute graphical images for the playing cards faces or backs.
- No scoring or timer.
- No undo.
- No option to turn 3 cards at a time.
- No keyboard shortcuts.
- Less fancy animation when you win.
- The determinat... | 27.884013 | 78 | 0.583193 |
import math
import random
from Tkinter import *
from Canvas import Rectangle, CanvasText, Group, Window
class Group(Group):
def bind(self, sequence=None, command=None):
return self.canvas.tag_bind(self.id, sequence, command)
CARDWIDTH = 100
CARDHEIGHT = 150
MARGIN = 10
XSPACING = CARDWIDTH + 2*MAR... | true | true |
1c1105ea617b4706c2748a734da54d4ce17d4a29 | 858 | py | Python | blog/migrations/0007_auto_20180608_1941.py | frueringborgerforening/fruering | cb482268272698d34482dbb956b79f0d114e1834 | [
"MIT"
] | 1 | 2018-05-14T20:19:42.000Z | 2018-05-14T20:19:42.000Z | blog/migrations/0007_auto_20180608_1941.py | andreasbrakhagecarstensen/fruering | cb482268272698d34482dbb956b79f0d114e1834 | [
"MIT"
] | 78 | 2018-03-18T09:36:26.000Z | 2019-12-16T21:06:09.000Z | blog/migrations/0007_auto_20180608_1941.py | andreasbrakhagecarstensen/fruering | cb482268272698d34482dbb956b79f0d114e1834 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.3 on 2018-06-08 19:41
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0006_auto_20180505_1927'),
]
operations = [
migrations.RemoveField(
model_name='blogpagegalleryimage',
name='image',... | 23.189189 | 47 | 0.537296 |
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0006_auto_20180505_1927'),
]
operations = [
migrations.RemoveField(
model_name='blogpagegalleryimage',
name='image',
),
migrations.RemoveField(
... | true | true |
1c1105fe39a5eb4407d15ad8aedf216f80e675a8 | 796 | py | Python | models/projection_head.py | mgwillia/unsupervised-analysis | 66b5c7af391199394ace3a1ff396d46ac5bd7ce5 | [
"MIT"
] | null | null | null | models/projection_head.py | mgwillia/unsupervised-analysis | 66b5c7af391199394ace3a1ff396d46ac5bd7ce5 | [
"MIT"
] | null | null | null | models/projection_head.py | mgwillia/unsupervised-analysis | 66b5c7af391199394ace3a1ff396d46ac5bd7ce5 | [
"MIT"
] | null | null | null | """
Some code from Unsupservised Classifcation, maybe. Lots of modifications.
"""
from torch import nn
class ProjectionHead(nn.Module):
def __init__(self, embedding_dim, projection_dim):
super(ProjectionHead, self).__init__()
head_layers = [nn.Linear(embedding_dim, embedding_dim, bias=True)]
... | 34.608696 | 79 | 0.633166 | from torch import nn
class ProjectionHead(nn.Module):
def __init__(self, embedding_dim, projection_dim):
super(ProjectionHead, self).__init__()
head_layers = [nn.Linear(embedding_dim, embedding_dim, bias=True)]
head_layers.append(nn.BatchNorm1d(
embedding_dim,
... | true | true |
1c1107fafdf52fa3f68991c935d46b695b300b38 | 1,336 | py | Python | psshlib/hosts.py | rorz99/parallel-ssh | b59b6ad840c1aa139fb384175c2be37772a0b868 | [
"BSD-3-Clause"
] | 15 | 2015-05-12T07:47:05.000Z | 2021-11-15T11:29:17.000Z | psshlib/hosts.py | rorz99/parallel-ssh | b59b6ad840c1aa139fb384175c2be37772a0b868 | [
"BSD-3-Clause"
] | 1 | 2016-09-08T14:07:24.000Z | 2016-09-08T18:14:18.000Z | psshlib/hosts.py | rorz99/parallel-ssh | b59b6ad840c1aa139fb384175c2be37772a0b868 | [
"BSD-3-Clause"
] | 3 | 2015-10-14T14:39:48.000Z | 2018-12-20T06:39:44.000Z | import sys
import psshutil
import random
import re
class ServerPool(list):
def __init__(self, options):
self.options = options
try:
hosts = psshutil.read_host_files(options.host_files, default_user=options.user)
except IOError:
_, e, _ = sys.exc_info()
sy... | 34.25641 | 91 | 0.574102 | import sys
import psshutil
import random
import re
class ServerPool(list):
def __init__(self, options):
self.options = options
try:
hosts = psshutil.read_host_files(options.host_files, default_user=options.user)
except IOError:
_, e, _ = sys.exc_info()
sy... | true | true |
1c11087f76debaec10eb54dd71dd64a43c3a9923 | 1,462 | py | Python | hawkweed/functional/mathematical.py | hellerve/hawkweed | 0cdb378f7dac5ab76ad53d6c1917f0ac5687793c | [
"MIT"
] | 20 | 2016-06-13T19:24:20.000Z | 2022-01-26T14:08:11.000Z | hawkweed/functional/mathematical.py | hellerve/hawkweed | 0cdb378f7dac5ab76ad53d6c1917f0ac5687793c | [
"MIT"
] | null | null | null | hawkweed/functional/mathematical.py | hellerve/hawkweed | 0cdb378f7dac5ab76ad53d6c1917f0ac5687793c | [
"MIT"
] | null | null | null | """A few mathematical functions"""
from hawkweed.functional.primitives import curry
def inc(num):
"""
A function that increments its argument by 1.
Complexity: O(1)
params:
num: the number to increment
returns: the incremented number
"""
return num + 1
def dec(num):
"""
A ... | 20.885714 | 65 | 0.619015 | from hawkweed.functional.primitives import curry
def inc(num):
return num + 1
def dec(num):
return num - 1
@curry
def add(fst, snd):
return fst + snd
@curry
def sub(fst, snd):
return fst - snd
@curry
def mul(fst, snd):
return fst * snd
@curry
def div(fst, snd):
return fst / snd
@curry
def... | true | true |
1c1108a73f52940d62cc913d7459cbd6b36a1fa3 | 25,831 | py | Python | tests/test_nubank_client.py | janjitsu/pynubank | 5e8df67e2e713b19eb758a0980507ed928a6bf4e | [
"MIT"
] | null | null | null | tests/test_nubank_client.py | janjitsu/pynubank | 5e8df67e2e713b19eb758a0980507ed928a6bf4e | [
"MIT"
] | null | null | null | tests/test_nubank_client.py | janjitsu/pynubank | 5e8df67e2e713b19eb758a0980507ed928a6bf4e | [
"MIT"
] | null | null | null | import json
import pytest
from unittest.mock import MagicMock
from requests import Response
from pynubank.nubank import Nubank, NuException
@pytest.fixture
def authentication_return():
return {
"access_token": "access_token_123",
"token_type": "bearer",
"_links": {
"change_p... | 43.486532 | 146 | 0.561922 | import json
import pytest
from unittest.mock import MagicMock
from requests import Response
from pynubank.nubank import Nubank, NuException
@pytest.fixture
def authentication_return():
return {
"access_token": "access_token_123",
"token_type": "bearer",
"_links": {
"change_p... | true | true |
1c1108fa6eb93b6d83cb6dbefc0d793390b4904f | 5,992 | py | Python | core/polyaxon/polyaxonfile/check.py | jjasonkal/polyaxon | 8454b29b2b971b965de8a7bf63afdd48f07d6d53 | [
"Apache-2.0"
] | null | null | null | core/polyaxon/polyaxonfile/check.py | jjasonkal/polyaxon | 8454b29b2b971b965de8a7bf63afdd48f07d6d53 | [
"Apache-2.0"
] | null | null | null | core/polyaxon/polyaxonfile/check.py | jjasonkal/polyaxon | 8454b29b2b971b965de8a7bf63afdd48f07d6d53 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2020 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 33.662921 | 95 | 0.633678 |
import os
from collections import OrderedDict
from polyaxon.cli.errors import handle_cli_error
from polyaxon.config_reader.spec import ConfigSpec
from polyaxon.exceptions import PolyaxonfileError
from polyaxon.polyaxonfile.manager import check_default_path, get_op_specification
from polyaxon.polyaxonfile.params impo... | true | true |
1c1109011cee92efaab5f19068915959e9ce896c | 7,290 | py | Python | tests/integration/views/surveys/test_access_survey.py | ONSdigital/ras-frontstage | e8ff1931b49cb3ab47b421aed6780e9e944dceea | [
"MIT"
] | 8 | 2017-06-30T12:32:02.000Z | 2022-02-25T09:07:28.000Z | tests/integration/views/surveys/test_access_survey.py | ONSdigital/ras-frontstage | e8ff1931b49cb3ab47b421aed6780e9e944dceea | [
"MIT"
] | 256 | 2017-05-16T09:38:09.000Z | 2022-03-28T13:38:42.000Z | tests/integration/views/surveys/test_access_survey.py | ONSdigital/ras-frontstage | e8ff1931b49cb3ab47b421aed6780e9e944dceea | [
"MIT"
] | 4 | 2017-09-29T08:58:36.000Z | 2021-04-11T07:44:27.000Z | import io
import unittest
from unittest.mock import patch
import requests_mock
from frontstage import app
from tests.integration.mocked_services import (
business_party,
collection_exercise,
collection_instrument_seft,
encoded_jwt_token,
encrypted_enrolment_code,
survey,
url_banner_api,
)
... | 41.896552 | 215 | 0.691632 | import io
import unittest
from unittest.mock import patch
import requests_mock
from frontstage import app
from tests.integration.mocked_services import (
business_party,
collection_exercise,
collection_instrument_seft,
encoded_jwt_token,
encrypted_enrolment_code,
survey,
url_banner_api,
)
... | true | true |
1c11095816892977cda8fec90d483f796c6a1057 | 9,700 | py | Python | jang_pendulum_example.py | trituenhantaoio/anfis-pytorch | 7a6bf123d69b550e46abeddd5b4a776243d43aa6 | [
"MIT"
] | 66 | 2019-04-18T08:02:35.000Z | 2022-03-26T07:10:42.000Z | jang_pendulum_example.py | trituenhantaoio/anfis-pytorch | 7a6bf123d69b550e46abeddd5b4a776243d43aa6 | [
"MIT"
] | 3 | 2019-04-20T09:42:47.000Z | 2021-02-24T19:16:02.000Z | jang_pendulum_example.py | trituenhantaoio/anfis-pytorch | 7a6bf123d69b550e46abeddd5b4a776243d43aa6 | [
"MIT"
] | 35 | 2019-09-19T01:42:05.000Z | 2021-12-07T15:56:46.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
ANFIS in torch: Control examples from Jang's book, chapter 17.
Section 17.6.2: Recurrent learning, inverted pendulum case study.
or "Self Learning of Fuzzy Controllers Based on Temporal Back Propagation"
IEEE Trans on Neural Networks 3(5), Sept ... | 35.793358 | 78 | 0.602062 |
import numpy as np
import matplotlib.pyplot as plt
import torch
import anfis
from membership import make_bell_mfs
import fileio.astext
dtype = torch.float
np.random.seed(0)
class Pendulum():
def __init__(self, theta=0, dtheta=0):
self._state = torch.tensor((theta, dtheta), dtype=dtype).reshape(1, 2)... | true | true |
1c110a0826a5a0cc52df3928ed6e4c6721598238 | 1,257 | py | Python | src/pacsanini/__init__.py | aachick/pacsanini | b54e4f222eede3c31b04373253e4de0b2c91217b | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause-Clear",
"BSD-3-Clause"
] | 10 | 2021-07-05T16:59:03.000Z | 2022-02-09T11:13:03.000Z | src/pacsanini/__init__.py | aachick/pacsanini | b54e4f222eede3c31b04373253e4de0b2c91217b | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause-Clear",
"BSD-3-Clause"
] | 51 | 2021-07-05T08:29:35.000Z | 2021-11-30T08:30:10.000Z | src/pacsanini/__init__.py | aachick/pacsanini | b54e4f222eede3c31b04373253e4de0b2c91217b | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause-Clear",
"BSD-3-Clause"
] | 2 | 2021-07-06T06:35:37.000Z | 2021-07-09T10:26:38.000Z | # Copyright (C) 2019-2020, Therapixel SA.
# All rights reserved.
# This file is subject to the terms and conditions described in the
# LICENSE file distributed in this package.
"""Expose the top-level pacsanini methods and classes."""
__all__ = [
"parse_dir",
"parse_dir2csv",
"parse_dir2df",
"parse_dir... | 20.95 | 79 | 0.674622 |
__all__ = [
"parse_dir",
"parse_dir2csv",
"parse_dir2df",
"parse_dir2json",
"StoreSCPServer",
"echo",
"find",
"move",
"move_patients",
"move_studies",
"patient_find",
"patient_find2csv",
"patient_find2sql",
"run_server",
"send_dicom",
"study_find",
"s... | true | true |
1c110a0c779e7c0e8755b7c0d3d96eafd4eb87e6 | 11,877 | py | Python | Scripts/Prototypes/img_sub_lanes_pub.py | aryanmangal769/UGV-DTU_ROS_Stack | 6a00c83d076361bdf171c1ad4ef383ad262da4e6 | [
"BSD-3-Clause"
] | null | null | null | Scripts/Prototypes/img_sub_lanes_pub.py | aryanmangal769/UGV-DTU_ROS_Stack | 6a00c83d076361bdf171c1ad4ef383ad262da4e6 | [
"BSD-3-Clause"
] | null | null | null | Scripts/Prototypes/img_sub_lanes_pub.py | aryanmangal769/UGV-DTU_ROS_Stack | 6a00c83d076361bdf171c1ad4ef383ad262da4e6 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Python libs
import sys, time
# numpy and scipy
import numpy as np
import math
from scipy.ndimage import filters
# OpenCV
import cv2
# Ros libraries
import roslib
import rospy
# Ros Messages
from sensor_msgs.msg import CompressedImage
from sensor_msgs.msg import LaserScan
'''
TO understand
M... | 31.420635 | 150 | 0.583817 |
import sys, time
import numpy as np
import math
from scipy.ndimage import filters
import cv2
import roslib
import rospy
from sensor_msgs.msg import CompressedImage
from sensor_msgs.msg import LaserScan
def imagesShow():
cv2.imshow('masked_img', masked_img) cv2.imshow('warped_img', warped_img) ... | true | true |
1c110aba556247840a81e0d2194a42594ea74bc5 | 6,824 | py | Python | deepchem/trans/tests/test_balancing.py | micimize/deepchem | 651df9f9d8e6f1b33d3af8f0be251e9e8095fe88 | [
"MIT"
] | 1 | 2020-08-19T17:25:27.000Z | 2020-08-19T17:25:27.000Z | deepchem/trans/tests/test_balancing.py | swpper/deepchem | 510b9bf1805bc5a472c1a519700e6b128e06c651 | [
"MIT"
] | 1 | 2020-09-22T18:42:21.000Z | 2020-09-22T18:42:21.000Z | deepchem/trans/tests/test_balancing.py | swpper/deepchem | 510b9bf1805bc5a472c1a519700e6b128e06c651 | [
"MIT"
] | 1 | 2022-03-11T00:10:23.000Z | 2022-03-11T00:10:23.000Z | import os
import numpy as np
import deepchem as dc
import itertools
import tempfile
def test_binary_1d():
"""Test balancing transformer on single-task dataset without explicit task dimension."""
n_samples = 20
n_features = 3
n_classes = 2
np.random.seed(123)
ids = np.arange(n_samples)
X = np.random.rand... | 38.994286 | 90 | 0.699443 | import os
import numpy as np
import deepchem as dc
import itertools
import tempfile
def test_binary_1d():
n_samples = 20
n_features = 3
n_classes = 2
np.random.seed(123)
ids = np.arange(n_samples)
X = np.random.rand(n_samples, n_features)
y = np.random.randint(n_classes, size=(n_samples,))
w = np.ones... | true | true |
1c110c3e0c7b5717f0a2d1844dead2399d29e108 | 116 | py | Python | medium2md/__main__.py | cleberzavadniak/medium2md | d1149b7763b3c9bd3b58419008ce6996c2b08e63 | [
"MIT"
] | 5 | 2019-03-07T14:47:46.000Z | 2022-03-07T20:19:51.000Z | medium2md/__main__.py | cleberzavadniak/medium2md | d1149b7763b3c9bd3b58419008ce6996c2b08e63 | [
"MIT"
] | null | null | null | medium2md/__main__.py | cleberzavadniak/medium2md | d1149b7763b3c9bd3b58419008ce6996c2b08e63 | [
"MIT"
] | null | null | null | import sys
from . import Importer
url = sys.argv[1]
importer = Importer(url)
importer.run()
print(importer.text)
| 11.6 | 24 | 0.732759 | import sys
from . import Importer
url = sys.argv[1]
importer = Importer(url)
importer.run()
print(importer.text)
| true | true |
1c110dda8eb7a0a52ec510ea702d4b6cff7526f5 | 6,101 | py | Python | modules.py | lkbr1808/DIF-Net | 538858c8c89e1b4f37c24533ebd6651ae8eb413b | [
"MIT"
] | null | null | null | modules.py | lkbr1808/DIF-Net | 538858c8c89e1b4f37c24533ebd6651ae8eb413b | [
"MIT"
] | null | null | null | modules.py | lkbr1808/DIF-Net | 538858c8c89e1b4f37c24533ebd6651ae8eb413b | [
"MIT"
] | null | null | null | '''Define basic blocks
'''
import torch
from torch import nn
from torchmeta.modules import (MetaModule, MetaSequential)
# from torchmeta.modules.utils import get_subdict
import numpy as np
from collections import OrderedDict
import math
import torch.nn.functional as F
'''Adapted from the SIREN repository https://gith... | 35.678363 | 115 | 0.631372 |
import torch
from torch import nn
from torchmeta.modules import (MetaModule, MetaSequential)
import numpy as np
from collections import OrderedDict
import math
import torch.nn.functional as F
class BatchLinear(nn.Linear,MetaModule):
__doc__ = nn.Linear.__doc__
def forward(self, input, params=None):
... | true | true |
1c110e6262a70b083d63f3d6bfbbdc5d7d43da02 | 14,071 | py | Python | Labs/lab10.py | jainam26/Applied-Crypto | 11946adf92f49f6240ecfc804ae904d68a5ea27c | [
"MIT"
] | 1 | 2020-05-01T17:08:12.000Z | 2020-05-01T17:08:12.000Z | Labs/lab10.py | jainam26/Applied-Crypto | 11946adf92f49f6240ecfc804ae904d68a5ea27c | [
"MIT"
] | null | null | null | Labs/lab10.py | jainam26/Applied-Crypto | 11946adf92f49f6240ecfc804ae904d68a5ea27c | [
"MIT"
] | 1 | 2020-02-28T23:47:33.000Z | 2020-02-28T23:47:33.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
################################################################## LAB 10 ##############################################
"""
List you collaborators here: No one
Your task is to fill in the body of the functions below. The specification of each of the functions i... | 49.027875 | 182 | 0.626253 |
import lab10_helper
from Cryptodome.Hash import HMAC
from Cryptodome.Hash import MD5,SHA1,SHA256,SHA512
from Cryptodome.Cipher import AES
from Cryptodome.Util.strxor import strxor
from math import ceil
def q1_fb_onion_hash(password, salt1, salt2):
md5Obj = MD5.new()
md5Obj.update(password.encode... | true | true |
1c110f7ce5c67ab14d4034b89ce631d4a909721f | 421 | py | Python | aoc2016/03.py | 0x8b/HackerRank | 45e1a0e2be68950505c0a75218715bd3132a428b | [
"MIT"
] | 3 | 2019-12-04T01:22:34.000Z | 2020-12-10T15:31:00.000Z | aoc2016/03.py | 0x8b/HackerRank | 45e1a0e2be68950505c0a75218715bd3132a428b | [
"MIT"
] | null | null | null | aoc2016/03.py | 0x8b/HackerRank | 45e1a0e2be68950505c0a75218715bd3132a428b | [
"MIT"
] | 1 | 2019-12-04T01:24:01.000Z | 2019-12-04T01:24:01.000Z | #!/usr/bin/env python
import fileinput
import numpy as np
data = []
for line in fileinput.input():
data.append(list(map(int, line.strip().split())))
def count(data):
triangles = 0
for a, b, c in data:
if a + b > c and a + c > b and b + c > a:
triangles += 1
return triangles
... | 15.035714 | 53 | 0.584323 |
import fileinput
import numpy as np
data = []
for line in fileinput.input():
data.append(list(map(int, line.strip().split())))
def count(data):
triangles = 0
for a, b, c in data:
if a + b > c and a + c > b and b + c > a:
triangles += 1
return triangles
assert count(data) ==... | true | true |
1c11101be4e20c789054be2e8e238063a837e88c | 10,758 | py | Python | hypersolvers-control/src/mpc/torchmpc.py | Juju-botu/diffeqml-research | aa796c87447e5299ec4f25a07fc4d032afb1f63e | [
"Apache-2.0"
] | null | null | null | hypersolvers-control/src/mpc/torchmpc.py | Juju-botu/diffeqml-research | aa796c87447e5299ec4f25a07fc4d032afb1f63e | [
"Apache-2.0"
] | null | null | null | hypersolvers-control/src/mpc/torchmpc.py | Juju-botu/diffeqml-research | aa796c87447e5299ec4f25a07fc4d032afb1f63e | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
class TorchMPC(nn.Module):
def __init__(self,
system,
cost_function,
t_span,
opt,
max_g_iters=100,
eps_accept=0.01,
lookahead_steps=100,
lower_b... | 45.974359 | 125 | 0.586633 | import torch
import torch.nn as nn
class TorchMPC(nn.Module):
def __init__(self,
system,
cost_function,
t_span,
opt,
max_g_iters=100,
eps_accept=0.01,
lookahead_steps=100,
lower_b... | true | true |
1c11103b84c2bacf0c83020c6ab8c740e3d29da9 | 633 | py | Python | src/data/665.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/665.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | src/data/665.py | NULLCT/LOMC | 79a16474a8f21310e0fb47e536d527dd5dc6d655 | [
"MIT"
] | null | null | null | n, q = map(int, input().split())
g = [[] for _ in range(n + 1)]
for _ in range(n - 1):
a, b = [int(x) for x in input().split()]
g[a].append(b)
g[b].append(a)
from collections import deque
def bfs(u):
queue = deque([u])
d = [None] * (n + 1) # uからの距離の初期化
d[u] = 0 # 自分との距離は0
while queue:
... | 19.181818 | 44 | 0.458136 | n, q = map(int, input().split())
g = [[] for _ in range(n + 1)]
for _ in range(n - 1):
a, b = [int(x) for x in input().split()]
g[a].append(b)
g[b].append(a)
from collections import deque
def bfs(u):
queue = deque([u])
d = [None] * (n + 1) d[u] = 0 while queue:
v = queue.poplef... | true | true |
1c1110d4c23234b6b63ac5254f92279ffa20e491 | 4,670 | py | Python | django/realtimemonitor/client.py | haizaar/crossbar-examples | a3daffc0348565aa5e989433978dec2913242ea8 | [
"Apache-2.0"
] | 2 | 2020-11-05T21:59:58.000Z | 2020-11-05T22:00:04.000Z | django/realtimemonitor/client.py | Weeshlow/crossbarexamples | e392ea2708f52ba322e63808041f9fe6dcfe893e | [
"Apache-2.0"
] | null | null | null | django/realtimemonitor/client.py | Weeshlow/crossbarexamples | e392ea2708f52ba322e63808041f9fe6dcfe893e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import division
import socket
import requests
import psutil
from autobahn.twisted.wamp import Application
from autobahn.twisted.util import sleep
from twisted.internet.defer import inlineCallbacks
def to_gib(bytes, factor=2**30, suffix="GiB"):
""" Convert a number of by... | 32.206897 | 115 | 0.601499 |
from __future__ import division
import socket
import requests
import psutil
from autobahn.twisted.wamp import Application
from autobahn.twisted.util import sleep
from twisted.internet.defer import inlineCallbacks
def to_gib(bytes, factor=2**30, suffix="GiB"):
return "%0.2f%s" % (bytes / factor, suffix)
def g... | true | true |
1c111180cf991b37c43fbbdf0f890256e3640dd3 | 6,208 | py | Python | models/image_recognition/tensorflow/inceptionv4/inference/datasets.py | hekaplex/resnet_dl | fc8d4dcc0adffbe22d01d333e6cf5db955f2f011 | [
"Apache-2.0"
] | null | null | null | models/image_recognition/tensorflow/inceptionv4/inference/datasets.py | hekaplex/resnet_dl | fc8d4dcc0adffbe22d01d333e6cf5db955f2f011 | [
"Apache-2.0"
] | null | null | null | models/image_recognition/tensorflow/inceptionv4/inference/datasets.py | hekaplex/resnet_dl | fc8d4dcc0adffbe22d01d333e6cf5db955f2f011 | [
"Apache-2.0"
] | null | null | null | #
# -*- coding: utf-8 -*-
#
# Copyright (c) 2018 Intel 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 requ... | 31.835897 | 81 | 0.671392 |
from abc import abstractmethod
import os
import numpy as np
from six.moves import cPickle
from six.moves import xrange import tensorflow as tf
from tensorflow.python.platform import gfile
import preprocessing
IMAGENET_NUM_TRAIN_IMAGES = 1281167
IMAGENET_NUM_VAL_IMAGES = 50000
def create_data... | true | true |
1c1111e037beb699f8d559e240dcbbb1191d64a1 | 176 | py | Python | st3/mdpopups/version.py | sublimelsp/sublime-markdown-popups | 7b5eece58c96a2b432c0932f12a87c82103c136f | [
"MIT"
] | null | null | null | st3/mdpopups/version.py | sublimelsp/sublime-markdown-popups | 7b5eece58c96a2b432c0932f12a87c82103c136f | [
"MIT"
] | null | null | null | st3/mdpopups/version.py | sublimelsp/sublime-markdown-popups | 7b5eece58c96a2b432c0932f12a87c82103c136f | [
"MIT"
] | 1 | 2022-03-15T08:00:39.000Z | 2022-03-15T08:00:39.000Z | """Version."""
_version_info = (4, 0, 0)
__version__ = '.'.join([str(x) for x in _version_info])
def version():
"""Get the current version."""
return _version_info
| 16 | 55 | 0.625 |
_version_info = (4, 0, 0)
__version__ = '.'.join([str(x) for x in _version_info])
def version():
return _version_info
| true | true |
1c1112bb20da08ba82c64182785b365bf504b836 | 9,005 | py | Python | tests/test_workspace.py | JBBalling/core | b9977a28118d33e40656f5ea95e819d8cc496f32 | [
"Apache-2.0"
] | null | null | null | tests/test_workspace.py | JBBalling/core | b9977a28118d33e40656f5ea95e819d8cc496f32 | [
"Apache-2.0"
] | null | null | null | tests/test_workspace.py | JBBalling/core | b9977a28118d33e40656f5ea95e819d8cc496f32 | [
"Apache-2.0"
] | null | null | null | from os import walk
from os.path import join, exists, abspath, basename, dirname
from tempfile import TemporaryDirectory, mkdtemp
from shutil import copyfile
from pathlib import Path
from tests.base import TestCase, assets, main, copy_of_directory
from ocrd.resolver import Resolver
from ocrd.workspace import Workspac... | 44.142157 | 115 | 0.63276 | from os import walk
from os.path import join, exists, abspath, basename, dirname
from tempfile import TemporaryDirectory, mkdtemp
from shutil import copyfile
from pathlib import Path
from tests.base import TestCase, assets, main, copy_of_directory
from ocrd.resolver import Resolver
from ocrd.workspace import Workspac... | true | true |
1c1112e45a9cf7584bc7112b18dc83a387bdc548 | 3,152 | py | Python | shelter/web/models/__init__.py | cedricbonhomme/shelter-database | ca5a4b0e13676879df2b1ebcc190498a8b9b6c21 | [
"MIT"
] | 1 | 2016-10-27T05:06:06.000Z | 2016-10-27T05:06:06.000Z | shelter/web/models/__init__.py | cedricbonhomme/shelter-database | ca5a4b0e13676879df2b1ebcc190498a8b9b6c21 | [
"MIT"
] | null | null | null | shelter/web/models/__init__.py | cedricbonhomme/shelter-database | ca5a4b0e13676879df2b1ebcc190498a8b9b6c21 | [
"MIT"
] | 3 | 2016-08-19T19:49:17.000Z | 2016-10-27T05:06:29.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# ***** BEGIN LICENSE BLOCK *****
# This file is part of Shelter Database.
# Copyright (c) 2016 Luxembourg Institute of Science and Technology.
# All rights reserved.
#
#
#
# ***** END LICENSE BLOCK *****
__author__ = "Cedric Bonhomme"
__version__ = "$Revision: 0.1 $"
__... | 22.84058 | 74 | 0.644353 |
__author__ = "Cedric Bonhomme"
__version__ = "$Revision: 0.1 $"
__date__ = "$Date: 2016/03/30 $"
__revision__ = "$Date: 2016/06/21 $"
__copyright__ = "Copyright (c) "
__license__ = ""
from .user import User
from .property import Property, Association
from .value import Value
from .shelter import Shelter
from .secti... | true | true |
1c1112f80dc8efef745d679c803a6570afcc8f64 | 8,132 | py | Python | src/python/WMCore/WMSpec/Steps/Executors/AlcaHarvest.py | hufnagel/WMCore | b150cc725b68fc1cf8e6e0fa07c826226a4421fa | [
"Apache-2.0"
] | 21 | 2015-11-19T16:18:45.000Z | 2021-12-02T18:20:39.000Z | src/python/WMCore/WMSpec/Steps/Executors/AlcaHarvest.py | hufnagel/WMCore | b150cc725b68fc1cf8e6e0fa07c826226a4421fa | [
"Apache-2.0"
] | 5,671 | 2015-01-06T14:38:52.000Z | 2022-03-31T22:11:14.000Z | src/python/WMCore/WMSpec/Steps/Executors/AlcaHarvest.py | hufnagel/WMCore | b150cc725b68fc1cf8e6e0fa07c826226a4421fa | [
"Apache-2.0"
] | 67 | 2015-01-21T15:55:38.000Z | 2022-02-03T19:53:13.000Z | #!/usr/bin/env python
"""
_Step.Executor.AlcaHarvest_
Implementation of an Executor for a AlcaHarvest step
"""
from __future__ import print_function
import logging
import os
import shutil
import stat
import subprocess
from Utils.Utilities import rootUrlJoin
from WMCore.FwkJobReport.Report import Report
from WMCore.... | 39.285024 | 148 | 0.541072 | from __future__ import print_function
import logging
import os
import shutil
import stat
import subprocess
from Utils.Utilities import rootUrlJoin
from WMCore.FwkJobReport.Report import Report
from WMCore.Services.UUIDLib import makeUUID
from WMCore.WMSpec.Steps.Executor import Executor
from WMCore.WMSpec.Steps.WMExe... | true | true |
1c11131da64853bfa32dae31df639268cd438800 | 43,378 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/community/crypto/plugins/module_utils/crypto/module_backends/csr.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_collections/community/crypto/plugins/module_utils/crypto/module_backends/csr.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_collections/community/crypto/plugins/module_utils/crypto/module_backends/csr.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright: (c) 2016, Yanis Guenane <yanis+ansible@guenane.org>
# Copyright: (c) 2020, Felix Fontein <felix@fontein.de>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ ... | 49.974654 | 159 | 0.652704 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import abc
import binascii
import traceback
from distutils.version import LooseVersion
from ansible.module_utils import six
from ansible.module_utils.basic import missing_required_lib
from ansible.module_utils.common.text.convert... | true | true |
1c1113e0808c334b99e3fcad9de0fb51ccb42e56 | 126,511 | py | Python | scipy/stats/_distn_infrastructure.py | smola/scipy | ff8b9d9e87a585a820846d7f459d6156ba621c4d | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/_distn_infrastructure.py | smola/scipy | ff8b9d9e87a585a820846d7f459d6156ba621c4d | [
"BSD-3-Clause"
] | null | null | null | scipy/stats/_distn_infrastructure.py | smola/scipy | ff8b9d9e87a585a820846d7f459d6156ba621c4d | [
"BSD-3-Clause"
] | null | null | null | #
# Author: Travis Oliphant 2002-2011 with contributions from
# SciPy Developers 2004-2011
#
from __future__ import division, print_function, absolute_import
from scipy._lib._util import getargspec_no_self as _getargspec
import sys
import keyword
import re
import types
import warnings
from itertools import... | 34.899586 | 115 | 0.568883 | from __future__ import division, print_function, absolute_import
from scipy._lib._util import getargspec_no_self as _getargspec
import sys
import keyword
import re
import types
import warnings
from itertools import zip_longest
from scipy._lib import doccer
from ._distr_params import distcont, distdiscrete
from scipy... | true | true |
1c111527f882aaeff55ff05ac39d17d6b661a96a | 552 | py | Python | rebus/agents/ls_uuids.py | dev-pro-jma/rebus | b880e67ad9cd4ec6be316ca7697a7077ea1b5f17 | [
"BSD-2-Clause"
] | 25 | 2017-02-20T13:00:07.000Z | 2021-04-27T21:22:02.000Z | rebus/agents/ls_uuids.py | dev-pro-jma/rebus | b880e67ad9cd4ec6be316ca7697a7077ea1b5f17 | [
"BSD-2-Clause"
] | null | null | null | rebus/agents/ls_uuids.py | dev-pro-jma/rebus | b880e67ad9cd4ec6be316ca7697a7077ea1b5f17 | [
"BSD-2-Clause"
] | 7 | 2017-03-07T13:54:17.000Z | 2022-01-18T07:05:39.000Z | from rebus.agent import Agent
@Agent.register
class Ls(Agent):
_name_ = "ls_uuid"
_desc_ = "List existing UUIDs and their labels"
_operationmodes_ = ('automatic', )
@classmethod
def add_arguments(cls, subparser):
subparser.add_argument("--domain", help="Descriptor domain",
... | 27.6 | 68 | 0.603261 | from rebus.agent import Agent
@Agent.register
class Ls(Agent):
_name_ = "ls_uuid"
_desc_ = "List existing UUIDs and their labels"
_operationmodes_ = ('automatic', )
@classmethod
def add_arguments(cls, subparser):
subparser.add_argument("--domain", help="Descriptor domain",
... | false | true |
1c11152d778de253e5430a5643fc2c63c61f0cb1 | 11,441 | py | Python | tools/scons/scons-local-2.2.0/SCons/Variables/__init__.py | tristanpenman/gameutils | d4695922c6a8ba201a67fc8e5319da53e0d25323 | [
"BSD-2-Clause"
] | null | null | null | tools/scons/scons-local-2.2.0/SCons/Variables/__init__.py | tristanpenman/gameutils | d4695922c6a8ba201a67fc8e5319da53e0d25323 | [
"BSD-2-Clause"
] | null | null | null | tools/scons/scons-local-2.2.0/SCons/Variables/__init__.py | tristanpenman/gameutils | d4695922c6a8ba201a67fc8e5319da53e0d25323 | [
"BSD-2-Clause"
] | null | null | null | """engine.SCons.Variables
This file defines the Variables class that is used to add user-friendly
customizable variables to an SCons build.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012 The SCons Foundation
#
# Permission is hereby granted, free of charge, to an... | 36.552716 | 111 | 0.547417 | """engine.SCons.Variables
This file defines the Variables class that is used to add user-friendly
customizable variables to an SCons build.
"""
__revision__ = "src/engine/SCons/Variables/__init__.py issue-2856:2676:d23b7a2f45e8 2012/08/05 15:38:28 garyo"
import os.path
import sys
import SCons.Environme... | false | true |
1c11153a00218b4a4c170bb590d5ffbbbff098ad | 4,806 | py | Python | lib/mpdaf/sdetect/tests/test_segmap.py | jzabl/mpdaf | 806baab8b793ba1cdbde4ce9ea13116f8ca327ee | [
"BSD-3-Clause"
] | null | null | null | lib/mpdaf/sdetect/tests/test_segmap.py | jzabl/mpdaf | 806baab8b793ba1cdbde4ce9ea13116f8ca327ee | [
"BSD-3-Clause"
] | null | null | null | lib/mpdaf/sdetect/tests/test_segmap.py | jzabl/mpdaf | 806baab8b793ba1cdbde4ce9ea13116f8ca327ee | [
"BSD-3-Clause"
] | null | null | null | """
Copyright (c) 2010-2018 CNRS / Centre de Recherche Astrophysique de Lyon
Copyright (c) 2019 Simon Conseil <simon.conseil@univ-lyon1.fr>
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redis... | 39.393443 | 79 | 0.718061 | import numpy as np
import pytest
from astropy.io import fits
from glob import glob
from mpdaf.obj import Image
from mpdaf.sdetect import Segmap, create_masks_from_segmap
from mpdaf.tests.utils import get_data_file
from numpy.testing import assert_array_equal
try:
import joblib except ImportError:
HAS_JOBLIB ... | true | true |
1c111607dae46c978614b28f3152d4aa4beff360 | 6,957 | py | Python | django_q/conf.py | Solanar/django-q | 5e5676292b1df83c78fe224a67d212850dfaf8a9 | [
"MIT"
] | null | null | null | django_q/conf.py | Solanar/django-q | 5e5676292b1df83c78fe224a67d212850dfaf8a9 | [
"MIT"
] | null | null | null | django_q/conf.py | Solanar/django-q | 5e5676292b1df83c78fe224a67d212850dfaf8a9 | [
"MIT"
] | 1 | 2020-08-11T21:18:10.000Z | 2020-08-11T21:18:10.000Z | import logging
from copy import deepcopy
from signal import signal
from multiprocessing import cpu_count
# django
from django.utils.translation import gettext_lazy as _
from django.conf import settings
# external
import os
import pkg_resources
# local
from django_q.queues import Queue
# optional
try:
import psu... | 30.247826 | 115 | 0.663936 | import logging
from copy import deepcopy
from signal import signal
from multiprocessing import cpu_count
from django.utils.translation import gettext_lazy as _
from django.conf import settings
import os
import pkg_resources
from django_q.queues import Queue
try:
import psutil
except ImportError:
psutil = No... | true | true |
1c11160c93919be766a925991e99bafed9f6a577 | 85 | py | Python | src/Mojang/__init__.py | Hades1232/mojang_python | cc687a62791c6a09ba3d1024959f14d4123ec112 | [
"Apache-2.0"
] | 5 | 2022-03-06T02:16:42.000Z | 2022-03-08T07:22:38.000Z | src/Mojang/__init__.py | Hades1232/mojang_python | cc687a62791c6a09ba3d1024959f14d4123ec112 | [
"Apache-2.0"
] | null | null | null | src/Mojang/__init__.py | Hades1232/mojang_python | cc687a62791c6a09ba3d1024959f14d4123ec112 | [
"Apache-2.0"
] | null | null | null | from .account import userSetting
from .info import userInfo
__version__ = "0.1.1"
| 12.142857 | 32 | 0.752941 | from .account import userSetting
from .info import userInfo
__version__ = "0.1.1"
| true | true |
1c1118bc97872e5beba2d138e397e3748c61ed8c | 3,602 | py | Python | audiomate/corpus/validation/label_list.py | toddrme2178/audiomate | 14e932ce9c0b0bebb895d496cb6054521fc80ab1 | [
"MIT"
] | null | null | null | audiomate/corpus/validation/label_list.py | toddrme2178/audiomate | 14e932ce9c0b0bebb895d496cb6054521fc80ab1 | [
"MIT"
] | null | null | null | audiomate/corpus/validation/label_list.py | toddrme2178/audiomate | 14e932ce9c0b0bebb895d496cb6054521fc80ab1 | [
"MIT"
] | null | null | null | from audiomate import corpus
from . import base
class UtteranceTranscriptionRatioValidator(base.Validator):
"""
Checks if the ratio between utterance-duration and transcription-length is below a given ratio.
This is used to find utterances where the speech transcription is to long for a given utterance,
... | 35.663366 | 110 | 0.655469 | from audiomate import corpus
from . import base
class UtteranceTranscriptionRatioValidator(base.Validator):
def __init__(self, max_characters_per_second=10, label_list_idx=corpus.LL_WORD_TRANSCRIPT):
self.max_characters_per_second = max_characters_per_second
self.label_list_idx = label_list_idx
... | true | true |
1c111b0e7b2227a1adebe92b696be2fa844cdadb | 1,012 | py | Python | tests/data/expected/parser/openapi/openapi_parser_parse_allof/output.py | languitar/datamodel-code-generator | ddd909746a66df5c8268d782f3ae24bee636be92 | [
"MIT"
] | null | null | null | tests/data/expected/parser/openapi/openapi_parser_parse_allof/output.py | languitar/datamodel-code-generator | ddd909746a66df5c8268d782f3ae24bee636be92 | [
"MIT"
] | null | null | null | tests/data/expected/parser/openapi/openapi_parser_parse_allof/output.py | languitar/datamodel-code-generator | ddd909746a66df5c8268d782f3ae24bee636be92 | [
"MIT"
] | 1 | 2020-09-24T09:09:15.000Z | 2020-09-24T09:09:15.000Z | from __future__ import annotations
from datetime import date, datetime
from typing import List, Optional
from pydantic import BaseModel, conint
class Pet(BaseModel):
id: int
name: str
tag: Optional[str] = None
class Car(BaseModel):
number: str
class AllOfref(Pet, Car):
pass
class AllOfobj(... | 16.590164 | 43 | 0.701581 | from __future__ import annotations
from datetime import date, datetime
from typing import List, Optional
from pydantic import BaseModel, conint
class Pet(BaseModel):
id: int
name: str
tag: Optional[str] = None
class Car(BaseModel):
number: str
class AllOfref(Pet, Car):
pass
class AllOfobj(... | true | true |
1c111bcfc3e5b0d41653f1a3565e6c16bd8c9dc3 | 6,734 | py | Python | best_scores.py | nlindqv/pytorch_RVAE | d9e58134965f69aad557fb3bd2478500a51210f8 | [
"MIT"
] | null | null | null | best_scores.py | nlindqv/pytorch_RVAE | d9e58134965f69aad557fb3bd2478500a51210f8 | [
"MIT"
] | null | null | null | best_scores.py | nlindqv/pytorch_RVAE | d9e58134965f69aad557fb3bd2478500a51210f8 | [
"MIT"
] | null | null | null | import argparse, re
import os, os.path, subprocess
from subprocess import *
from nlgeval import NLGEval
import numpy as np
import torch as t
from torch.optim import Adam
from sample import sample_with_input, sample_with_beam
from utils.batch_loader import BatchLoader
from model.paraphraser import Paraphras... | 42.0875 | 162 | 0.597713 | import argparse, re
import os, os.path, subprocess
from subprocess import *
from nlgeval import NLGEval
import numpy as np
import torch as t
from torch.optim import Adam
from sample import sample_with_input, sample_with_beam
from utils.batch_loader import BatchLoader
from model.paraphraser import Paraphras... | true | true |
1c111bf82244872d3e4cf655264e3e087ff29372 | 39,402 | py | Python | examples/sparse_gnmt/gnmt/model.py | stevesolun/nlp-architect-1 | d2c1ea15ce20517af52d32ac87e5ccd009b4a620 | [
"Apache-2.0"
] | null | null | null | examples/sparse_gnmt/gnmt/model.py | stevesolun/nlp-architect-1 | d2c1ea15ce20517af52d32ac87e5ccd009b4a620 | [
"Apache-2.0"
] | null | null | null | examples/sparse_gnmt/gnmt/model.py | stevesolun/nlp-architect-1 | d2c1ea15ce20517af52d32ac87e5ccd009b4a620 | [
"Apache-2.0"
] | 1 | 2020-09-30T17:29:26.000Z | 2020-09-30T17:29:26.000Z | # ******************************************************************************
# Copyright 2017-2018 Intel 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.apa... | 39.8 | 99 | 0.603853 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import collections
import tensorflow as tf
from tensorflow.contrib.model_pruning import get_masks, get_thresholds
from tensorflow.contrib.model_pruning.python import pruning
from tensorflow.contrib.... | true | true |
1c111c362773e584af123fe1e360d7b3448caefc | 368 | py | Python | autolens/pipeline/phase/positions/result.py | rakaar/PyAutoLens | bc140c5d196c426092c1178b8abfa492c6fab859 | [
"MIT"
] | null | null | null | autolens/pipeline/phase/positions/result.py | rakaar/PyAutoLens | bc140c5d196c426092c1178b8abfa492c6fab859 | [
"MIT"
] | null | null | null | autolens/pipeline/phase/positions/result.py | rakaar/PyAutoLens | bc140c5d196c426092c1178b8abfa492c6fab859 | [
"MIT"
] | null | null | null | from autoconf import conf
import autoarray as aa
import numpy as np
from autogalaxy.galaxy import galaxy as g
from autolens.pipeline.phase import dataset
class Result(dataset.Result):
@property
def max_log_likelihood_fit(self):
return self.analysis.positions_fit_for_tracer(
tr... | 24.533333 | 55 | 0.725543 | from autoconf import conf
import autoarray as aa
import numpy as np
from autogalaxy.galaxy import galaxy as g
from autolens.pipeline.phase import dataset
class Result(dataset.Result):
@property
def max_log_likelihood_fit(self):
return self.analysis.positions_fit_for_tracer(
tr... | true | true |
1c111c5aa7ed38d02d9dec9533ba00d530ecbe78 | 1,200 | py | Python | cfd_trading/core/order.py | vitrvm/cfd_trading | d0880a12c805d150df6058764c153712da177b3a | [
"MIT"
] | 2 | 2021-04-20T16:37:55.000Z | 2021-08-09T10:27:43.000Z | cfd_trading/core/order.py | vitrvm/cfd_trading | d0880a12c805d150df6058764c153712da177b3a | [
"MIT"
] | null | null | null | cfd_trading/core/order.py | vitrvm/cfd_trading | d0880a12c805d150df6058764c153712da177b3a | [
"MIT"
] | 1 | 2021-07-11T22:51:37.000Z | 2021-07-11T22:51:37.000Z |
from typing import Type
class Order(object):
class Action:
BUY = 0
SELL = 1
class Type:
MARKET = 'MARKET'
LIMIT = 'LIMIT'
STOP = 'STOP'
__id = None
__action = None
__symbol = None
__type = None
__level = None
__stop_distance = None
__st... | 17.142857 | 85 | 0.5925 |
from typing import Type
class Order(object):
class Action:
BUY = 0
SELL = 1
class Type:
MARKET = 'MARKET'
LIMIT = 'LIMIT'
STOP = 'STOP'
__id = None
__action = None
__symbol = None
__type = None
__level = None
__stop_distance = None
__st... | true | true |
1c111dc2aaa17bd07f305747f911859377a22e5d | 3,628 | py | Python | Coding Problem 3.5.7.py | opalqnka/CS1301xII | bba9cf34a7f6f0d1e0d90a73b933f3a90bdb825e | [
"MIT"
] | null | null | null | Coding Problem 3.5.7.py | opalqnka/CS1301xII | bba9cf34a7f6f0d1e0d90a73b933f3a90bdb825e | [
"MIT"
] | null | null | null | Coding Problem 3.5.7.py | opalqnka/CS1301xII | bba9cf34a7f6f0d1e0d90a73b933f3a90bdb825e | [
"MIT"
] | 1 | 2020-07-16T06:56:22.000Z | 2020-07-16T06:56:22.000Z | #This will be the largest, most authentic program you've
#written so far. It will require everything you've learned
#and should take some time to test and debug. Be patient,
#you can do it!
#
#Write a function called average_word_length that takes as
#input a string called my_string, and returns as output the
#average ... | 34.226415 | 92 | 0.649945 | #written so far. It will require everything you've learned
# you can if you want.
# - There are lots of ways you can do this. If you're
# separately, and worrying about average length only
# after both have been counted.
# - The word count should equal the number of letters that
# come immediately after a space... | true | true |
1c111dc46d428f287481c72b4aed37d145071458 | 5,731 | py | Python | chapter_14/PyMailGui.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_14/PyMailGui.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | chapter_14/PyMailGui.py | bimri/programming_python | ba52ccd18b9b4e6c5387bf4032f381ae816b5e77 | [
"MIT"
] | null | null | null | "PyMailGUI: The Main Module"
'''
Defines the file run to start PyMailGUI. It implements top-level list windows
in the system—combinations of PyMailGUI’s application logic and the window
protocol superclasses.
The latter of these define window titles, icons, and close behavior.
'''
"""
################################... | 41.832117 | 82 | 0.68557 |
import mailconfig, sys
from SharedNames import appname, windows
from ListWindows import PyMailServer, PyMailFile
srvrname = mailconfig.popservername or 'Server'
class PyMailServerWindow(PyMailServer, windows.MainWindow):
def __init__(self):
windows.MainWindow.__init__(self, appname, srvrname)
... | true | true |
1c111eefc91daf11abb36504cea9c631f3f9ca14 | 108 | py | Python | src/interface_py/h2o4gpu/libs/__init__.py | pnijhara/h2o4gpu | 6257112c134136471420b68241f57190a445b67d | [
"Apache-2.0"
] | 458 | 2017-09-20T08:32:10.000Z | 2022-02-28T18:40:57.000Z | src/interface_py/h2o4gpu/libs/__init__.py | Jun-NIBS/h2o4gpu | 9885416deb3285f5d0f33023d6c07373ac4fc0b7 | [
"Apache-2.0"
] | 461 | 2017-09-20T11:39:04.000Z | 2021-11-21T15:51:42.000Z | src/interface_py/h2o4gpu/libs/__init__.py | Jun-NIBS/h2o4gpu | 9885416deb3285f5d0f33023d6c07373ac4fc0b7 | [
"Apache-2.0"
] | 114 | 2017-09-20T12:08:07.000Z | 2021-11-29T14:15:40.000Z | """
:copyright: 2017-2018 H2O.ai, Inc.
:license: Apache License Version 2.0 (see LICENSE for details)
"""
| 21.6 | 64 | 0.685185 | true | true | |
1c111f7eb665285a078ab4f31404b4b1ad1cfa15 | 1,179 | py | Python | static_scene_generator/make_mp4.py | NanboLi/CLEVR-Object-Centric | 7c5dbaa2f4d1320205a2914aafa24f95a804b084 | [
"MIT"
] | 4 | 2022-03-29T22:49:17.000Z | 2022-03-30T10:59:19.000Z | static_scene_generator/make_mp4.py | NanboLi/CLEVR-MultiView | 7c5dbaa2f4d1320205a2914aafa24f95a804b084 | [
"MIT"
] | null | null | null | static_scene_generator/make_mp4.py | NanboLi/CLEVR-MultiView | 7c5dbaa2f4d1320205a2914aafa24f95a804b084 | [
"MIT"
] | null | null | null | import os
import argparse
import imageio
from natsort import natsorted
def make_video(args):
file_list = []
for file in natsorted(os.listdir(args.source_dir)):
if file.startswith(args.prefix) and 'png' in file:
complete_path = os.path.join(args.source_dir, file)
file_list.appen... | 30.230769 | 100 | 0.649703 | import os
import argparse
import imageio
from natsort import natsorted
def make_video(args):
file_list = []
for file in natsorted(os.listdir(args.source_dir)):
if file.startswith(args.prefix) and 'png' in file:
complete_path = os.path.join(args.source_dir, file)
file_list.appen... | true | true |
1c112025b068b396001a5f7079ab41d09efb567c | 5,099 | bzl | Python | src/main/starlark/builtins_bzl/common/cc/cc_test.bzl | parampavar/bazel | df96163124d220a04abde24f8302e77349ae5194 | [
"Apache-2.0"
] | null | null | null | src/main/starlark/builtins_bzl/common/cc/cc_test.bzl | parampavar/bazel | df96163124d220a04abde24f8302e77349ae5194 | [
"Apache-2.0"
] | null | null | null | src/main/starlark/builtins_bzl/common/cc/cc_test.bzl | parampavar/bazel | df96163124d220a04abde24f8302e77349ae5194 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 34.924658 | 80 | 0.686605 |
load(":common/cc/cc_binary.bzl", "cc_binary_impl")
load(":common/paths.bzl", "paths")
load(":common/cc/cc_binary_attrs.bzl", "cc_binary_attrs_with_aspects")
load(":common/cc/cc_helper.bzl", "cc_helper")
load(":common/cc/semantics.bzl", "semantics")
cc_internal = _builtins.internal.cc_internal
platform_common = _bui... | true | true |
1c11213d211c0e7f5e5304abb554aec80fe186c9 | 7,248 | py | Python | tests/neptune/new/client/test_run.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 13 | 2019-02-11T13:18:38.000Z | 2019-12-26T06:26:07.000Z | tests/neptune/new/client/test_run.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 39 | 2019-03-07T13:40:10.000Z | 2020-01-07T17:19:24.000Z | tests/neptune/new/client/test_run.py | neptune-ml/neptune-client | 7aea63160b5149c3fec40f62d3b0da7381a35748 | [
"Apache-2.0"
] | 4 | 2019-02-11T13:07:23.000Z | 2019-11-26T08:20:24.000Z | #
# Copyright (c) 2022, Neptune Labs Sp. z o.o.
#
# 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 agr... | 41.655172 | 103 | 0.685292 |
import os
import unittest
from mock import patch
from neptune.new import ANONYMOUS, Run, get_last_run, init_run
from neptune.new.attributes.atoms import String
from neptune.new.envs import API_TOKEN_ENV_NAME, PROJECT_ENV_NAME
from neptune.new.exceptions import MissingFieldException, NeptuneUninitializedException
fro... | true | true |
1c11215016ceb85a677158f565ff7a2a34ed35b6 | 244 | py | Python | dmb/data/datasets/stereo/__init__.py | jiaw-z/DenseMatchingBenchmark | 177c56ca1952f54d28e6073afa2c16981113a2af | [
"MIT"
] | 160 | 2019-11-16T13:59:21.000Z | 2022-03-28T07:52:59.000Z | dmb/data/datasets/stereo/__init__.py | jiaw-z/DenseMatchingBenchmark | 177c56ca1952f54d28e6073afa2c16981113a2af | [
"MIT"
] | 22 | 2019-11-22T02:14:18.000Z | 2022-01-24T10:16:14.000Z | dmb/data/datasets/stereo/__init__.py | jiaw-z/DenseMatchingBenchmark | 177c56ca1952f54d28e6073afa2c16981113a2af | [
"MIT"
] | 38 | 2019-12-27T14:01:01.000Z | 2022-03-12T11:40:11.000Z | from .scene_flow import SceneFlowDataset
from .kitti import Kitti2012Dataset, Kitti2015Dataset
from .builder import build_stereo_dataset
__all__ = [
"build_stereo_dataset", "SceneFlowDataset",
"Kitti2015Dataset", "Kitti2012Dataset"
]
| 24.4 | 53 | 0.79918 | from .scene_flow import SceneFlowDataset
from .kitti import Kitti2012Dataset, Kitti2015Dataset
from .builder import build_stereo_dataset
__all__ = [
"build_stereo_dataset", "SceneFlowDataset",
"Kitti2015Dataset", "Kitti2012Dataset"
]
| true | true |
1c1121c7bd3d10c0f6e48c589bb1178641ad6b21 | 1,903 | py | Python | 2016/day13.py | tcbegley/advent-of-code | e293d06e9cd994b26c0d10619672a6d8d2d65377 | [
"MIT"
] | 6 | 2021-12-05T11:21:17.000Z | 2021-12-07T03:04:24.000Z | 2016/day13.py | tcbegley/advent-of-code | e293d06e9cd994b26c0d10619672a6d8d2d65377 | [
"MIT"
] | null | null | null | 2016/day13.py | tcbegley/advent-of-code | e293d06e9cd994b26c0d10619672a6d8d2d65377 | [
"MIT"
] | null | null | null | import heapq
import sys
from collections import deque
from functools import cache
def load_data(path):
with open(path) as f:
return int(f.read().strip())
def count_bits(n):
count = 0
while n:
count += n & 1
n >>= 1
return count
@cache
def is_open(x, y, n):
return count_... | 21.625 | 73 | 0.522333 | import heapq
import sys
from collections import deque
from functools import cache
def load_data(path):
with open(path) as f:
return int(f.read().strip())
def count_bits(n):
count = 0
while n:
count += n & 1
n >>= 1
return count
@cache
def is_open(x, y, n):
return count_... | true | true |
1c11224c0827da8668cfade02fbd90bcd947326e | 1,980 | py | Python | alphaPredict/alpha.py | ryanemenecker/alphaPredict | 9a695bee41b435300bcc0ec5dbe063072a45fb6a | [
"MIT"
] | 1 | 2021-09-29T21:38:27.000Z | 2021-09-29T21:38:27.000Z | alphaPredict/alpha.py | ryanemenecker/alphaPredict | 9a695bee41b435300bcc0ec5dbe063072a45fb6a | [
"MIT"
] | null | null | null | alphaPredict/alpha.py | ryanemenecker/alphaPredict | 9a695bee41b435300bcc0ec5dbe063072a45fb6a | [
"MIT"
] | null | null | null | ##
## alpha.py
##
## alpha.py contains all the user-facing function associated with alphaPredict.
## If a new function is added it should be included
## here and added to the __all__ list
##
##Handles the primary functions
__all__ = ['predict', 'graph']
import os
import sys
# note - we imort packages below wi... | 26.756757 | 92 | 0.70404 |
__all__ = ['predict', 'graph']
import os
import sys
import protfasta as _protfasta
from alphaPredict.backend.parrot_alpha import alpha_predict as _alpha_predict
from alphaPredict.backend import alpha_tools as _alpha_tools
from alphaPredict.backend.alpha_graph import graph as _graph
from alphaPredict.alpha_exce... | true | true |
1c112341e7ca9b20b221f8862a0e4402d7253424 | 466 | py | Python | oauthlib/oauth2/rfc6749/__init__.py | mgorny/oauthlib | b71636e85f845b79b5a56de6480fcba9d1415720 | [
"BSD-3-Clause"
] | null | null | null | oauthlib/oauth2/rfc6749/__init__.py | mgorny/oauthlib | b71636e85f845b79b5a56de6480fcba9d1415720 | [
"BSD-3-Clause"
] | null | null | null | oauthlib/oauth2/rfc6749/__init__.py | mgorny/oauthlib | b71636e85f845b79b5a56de6480fcba9d1415720 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
oauthlib.oauth2.rfc6749
~~~~~~~~~~~~~~~~~~~~~~~
This module is an implementation of various logic needed
for consuming and providing OAuth 2.0 RFC6749.
"""
import functools
import logging
from .endpoints.base import BaseEndpoint
from .endpoints.base import catch_errors_and_unavailability
f... | 24.526316 | 60 | 0.76824 | import functools
import logging
from .endpoints.base import BaseEndpoint
from .endpoints.base import catch_errors_and_unavailability
from .errors import TemporarilyUnavailableError, ServerError
from .errors import FatalClientError, OAuth2Error
log = logging.getLogger(__name__)
| true | true |
1c112374ce9b433ca1eb4d0f33cdb59b5c38f500 | 298 | py | Python | app.py | L3h4/NAUTelegramBot | 5eea900469964cee6131447a38b994659f33ea7b | [
"MIT"
] | null | null | null | app.py | L3h4/NAUTelegramBot | 5eea900469964cee6131447a38b994659f33ea7b | [
"MIT"
] | null | null | null | app.py | L3h4/NAUTelegramBot | 5eea900469964cee6131447a38b994659f33ea7b | [
"MIT"
] | null | null | null | from loader import bot, logger
from Bot.handlers import start
from Bot.middleware import middleware
@logger.catch
def main():
logger.add('logs/debug.log', format = '{time} {level} {message}', rotation = '100 KB', compression = 'zip')
bot.polling(True)
if __name__ == "__main__":
main()
| 18.625 | 109 | 0.697987 | from loader import bot, logger
from Bot.handlers import start
from Bot.middleware import middleware
@logger.catch
def main():
logger.add('logs/debug.log', format = '{time} {level} {message}', rotation = '100 KB', compression = 'zip')
bot.polling(True)
if __name__ == "__main__":
main()
| true | true |
1c11239231c739ef7dbcc786f09789c1b96fa35b | 2,525 | py | Python | test/test_project/settings.py | jaap3/django-otp | d7980bf516018319158570cc75353c905375a3ab | [
"BSD-2-Clause"
] | 318 | 2019-08-27T15:57:05.000Z | 2022-03-30T08:38:29.000Z | test/test_project/settings.py | jaap3/django-otp | d7980bf516018319158570cc75353c905375a3ab | [
"BSD-2-Clause"
] | 77 | 2019-09-17T11:48:38.000Z | 2022-03-13T17:26:56.000Z | test/test_project/settings.py | jaap3/django-otp | d7980bf516018319158570cc75353c905375a3ab | [
"BSD-2-Clause"
] | 76 | 2019-08-30T20:29:40.000Z | 2022-03-30T09:14:36.000Z | # django-otp test project
import os
from os.path import abspath, dirname, join
from django.core.exceptions import ImproperlyConfigured
def project_path(path):
return abspath(join(dirname(__file__), path))
DEBUG = True
backend = os.getenv('DB_BACKEND', 'sqlite3')
if backend == 'sqlite3':
DATABASES = {
... | 26.861702 | 87 | 0.665743 |
import os
from os.path import abspath, dirname, join
from django.core.exceptions import ImproperlyConfigured
def project_path(path):
return abspath(join(dirname(__file__), path))
DEBUG = True
backend = os.getenv('DB_BACKEND', 'sqlite3')
if backend == 'sqlite3':
DATABASES = {
'default': {
... | true | true |
1c112426a8f87e561fe8ac4f89db741b5f8e2bbd | 193 | py | Python | autogp/losses/__init__.py | axdahl/Grouped-GPs | 9a6ffb2fdcda15563cc508fb9bccd98d778e8456 | [
"Apache-2.0"
] | null | null | null | autogp/losses/__init__.py | axdahl/Grouped-GPs | 9a6ffb2fdcda15563cc508fb9bccd98d778e8456 | [
"Apache-2.0"
] | null | null | null | autogp/losses/__init__.py | axdahl/Grouped-GPs | 9a6ffb2fdcda15563cc508fb9bccd98d778e8456 | [
"Apache-2.0"
] | null | null | null | from .loss import Loss
from .zero_one_loss import ZeroOneLoss
from .mean_sq_error import RootMeanSqError
from .mean_abs_error import MeanAbsError
from .neg_log_predlik import NegLogPredDensity
| 32.166667 | 46 | 0.870466 | from .loss import Loss
from .zero_one_loss import ZeroOneLoss
from .mean_sq_error import RootMeanSqError
from .mean_abs_error import MeanAbsError
from .neg_log_predlik import NegLogPredDensity
| true | true |
1c1124951ab6d7e095b178672612ffadbe66a224 | 17,531 | py | Python | modules/xia2/Wrappers/XIA/Chef.py | jorgediazjr/dials-dev20191018 | 77d66c719b5746f37af51ad593e2941ed6fbba17 | [
"BSD-3-Clause"
] | null | null | null | modules/xia2/Wrappers/XIA/Chef.py | jorgediazjr/dials-dev20191018 | 77d66c719b5746f37af51ad593e2941ed6fbba17 | [
"BSD-3-Clause"
] | null | null | null | modules/xia2/Wrappers/XIA/Chef.py | jorgediazjr/dials-dev20191018 | 77d66c719b5746f37af51ad593e2941ed6fbba17 | [
"BSD-3-Clause"
] | 1 | 2020-02-04T15:39:06.000Z | 2020-02-04T15:39:06.000Z | #!/usr/bin/env python
# Chef.py
# Copyright (C) 2008 CCLRC, Graeme Winter
#
# This code is distributed under the BSD license, a copy of which is
# included in the root directory of this package.
#
# 5th February 2008
#
# A wrapper for the new program "chef". This has been developed for xia2
# to analyse the bulk ... | 29.41443 | 81 | 0.505961 |
from __future__ import absolute_import, division, print_function
import math
import sys
from xia2.Decorators.DecoratorFactory import DecoratorFactory
from xia2.Driver.DriverFactory import DriverFactory
from xia2.Experts.WedgeExpert import digest_wedges
from xia2.Handlers.Streams import Chatter, Stdout
from xia2.lib.... | true | true |
1c1128562ebb44e59d9d1adf663876f316195bf9 | 453 | py | Python | opencv_learn/charpter04/demo_04.13.py | zhangxinzhou/play_game | 854448f8416b2d3f98bb2c3ed0f7d834a61593de | [
"Apache-2.0"
] | null | null | null | opencv_learn/charpter04/demo_04.13.py | zhangxinzhou/play_game | 854448f8416b2d3f98bb2c3ed0f7d834a61593de | [
"Apache-2.0"
] | null | null | null | opencv_learn/charpter04/demo_04.13.py | zhangxinzhou/play_game | 854448f8416b2d3f98bb2c3ed0f7d834a61593de | [
"Apache-2.0"
] | null | null | null | import cv2
img = cv2.imread(r"..\lena.jpg")
bgra = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
b, g, r, a = cv2.split(bgra)
a[:, :] = 125
bgra125 = cv2.merge([b, g, r, a])
a[:, :] = 0
bgra0 = cv2.merge([b, g, r, a])
cv2.imshow("img", img)
cv2.imshow("bgra", bgra)
cv2.imshow("bgra125", bgra125)
cv2.imshow("bgra0", bgra0)
cv2... | 23.842105 | 44 | 0.655629 | import cv2
img = cv2.imread(r"..\lena.jpg")
bgra = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
b, g, r, a = cv2.split(bgra)
a[:, :] = 125
bgra125 = cv2.merge([b, g, r, a])
a[:, :] = 0
bgra0 = cv2.merge([b, g, r, a])
cv2.imshow("img", img)
cv2.imshow("bgra", bgra)
cv2.imshow("bgra125", bgra125)
cv2.imshow("bgra0", bgra0)
cv2... | true | true |
1c1128591bb2f0de233e14f57ddbab361fffa10f | 18,211 | py | Python | datasets_EXT/vk_dataset.py | CVC-TDA-ADRE/MonoDEVSNet | 25e2f7cd28909f933eb2f8dd7db9046dc7237635 | [
"MIT"
] | null | null | null | datasets_EXT/vk_dataset.py | CVC-TDA-ADRE/MonoDEVSNet | 25e2f7cd28909f933eb2f8dd7db9046dc7237635 | [
"MIT"
] | null | null | null | datasets_EXT/vk_dataset.py | CVC-TDA-ADRE/MonoDEVSNet | 25e2f7cd28909f933eb2f8dd7db9046dc7237635 | [
"MIT"
] | null | null | null | # Author: Akhil Gurram
# Build on top of the monodepth2
# (Automatically pulled from git repo, monodepth2 source code is not included in this repository)
# This is the training script of the MonoDEVSNet framework.
# MonoDEVSNet: Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Superv... | 40.923596 | 119 | 0.554445 |
from __future__ import absolute_import, division, print_function
import os
import random
from abc import ABC
import kornia
import numpy as np
import pandas as pd
import torch
import torch.utils.data as data
from PIL import Image
from torch.nn import functional as F
from torchvision import transforms
from monodepth... | true | true |
1c1128ff6655c591ab480a66420b22ddf961b5bc | 145 | py | Python | 6 kyu/Vasya and Stairs.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | 6 | 2020-09-03T09:32:25.000Z | 2020-12-07T04:10:01.000Z | 6 kyu/Vasya and Stairs.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | 1 | 2021-12-13T15:30:21.000Z | 2021-12-13T15:30:21.000Z | 6 kyu/Vasya and Stairs.py | mwk0408/codewars_solutions | 9b4f502b5f159e68024d494e19a96a226acad5e5 | [
"MIT"
] | null | null | null | def numberOfSteps(steps, m):
if m>steps:
return -1
print(steps, m)
return m*(steps//2//m+1) if steps/2%m else m*(steps//2//m) | 29 | 62 | 0.57931 | def numberOfSteps(steps, m):
if m>steps:
return -1
print(steps, m)
return m*(steps//2//m+1) if steps/2%m else m*(steps//2//m) | true | true |
1c112c7b990440cbc78bc3e5559f748ec1b4dd21 | 8,679 | py | Python | tools/cbmc/proofs/make_common_makefile.py | ictk-solution-dev/amazon-freertos | cc76512292ddfb70bba3030dbcb740ef3c6ead8b | [
"MIT"
] | 2 | 2020-06-23T08:05:58.000Z | 2020-06-24T01:25:51.000Z | tools/cbmc/proofs/make_common_makefile.py | LibreWireless/amazon-freertos-uno | 2ddb5c0ac906e4ab5340062641776f44e0f1d67d | [
"MIT"
] | 2 | 2022-03-29T05:16:50.000Z | 2022-03-29T05:16:50.000Z | tools/cbmc/proofs/make_common_makefile.py | ictk-solution-dev/amazon-freertos | cc76512292ddfb70bba3030dbcb740ef3c6ead8b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Generation of common Makefile for CBMC proofs.
#
# Copyright (C) 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to de... | 36.012448 | 85 | 0.556861 |
from pprint import pprint
import json
import sys
import re
import os
import argparse
def cleanup_whitespace(string):
return re.sub('\s+', ' ', string.strip())
platform_definitions = {
"linux": {
"platform": "linux",
"separator": "/",
"define": "-D",
"include"... | true | true |
1c112cbf68e6c4d3cfed8a7b98527a23967222cb | 42,927 | py | Python | __init__.py | NeonDaniel/skill-weather | b7a4984b457bb9a800de4ec1aa2d5265d540a9b7 | [
"Apache-2.0"
] | null | null | null | __init__.py | NeonDaniel/skill-weather | b7a4984b457bb9a800de4ec1aa2d5265d540a9b7 | [
"Apache-2.0"
] | null | null | null | __init__.py | NeonDaniel/skill-weather | b7a4984b457bb9a800de4ec1aa2d5265d540a9b7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021, Mycroft AI Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 37.101988 | 88 | 0.632003 | from datetime import datetime
from time import sleep
from typing import List, Tuple
from adapt.intent import IntentBuilder
from requests import HTTPError
from mycroft import MycroftSkill, intent_handler
from mycroft.messagebus.message import Message
from mycroft.util.parse import extract_number
from .skill import (
... | true | true |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.