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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95d4bf219897990197feea13feb7cf1258d214c8 | 6,298 | py | Python | yadlt/core/layers.py | Perfect-SoftwareEngineer/Deep-Learning-Tensorflow | b191cd2c8ff9d8cb6e2c6dedcac4483fa7548366 | [
"MIT"
] | null | null | null | yadlt/core/layers.py | Perfect-SoftwareEngineer/Deep-Learning-Tensorflow | b191cd2c8ff9d8cb6e2c6dedcac4483fa7548366 | [
"MIT"
] | null | null | null | yadlt/core/layers.py | Perfect-SoftwareEngineer/Deep-Learning-Tensorflow | b191cd2c8ff9d8cb6e2c6dedcac4483fa7548366 | [
"MIT"
] | null | null | null | """Layer classes."""
from __future__ import absolute_import
import abc
import six
import tensorflow as tf
@six.add_metaclass(abc.ABCMeta)
class BaseLayer(object):
"""Base layer interface."""
@abc.abstractmethod
def forward(self):
"""Layer forward propagation."""
pass
@abc.abstractmethod
def backward(self):
"""Layer backward propagation."""
pass
@abc.abstractmethod
def get_variables(self):
"""Get layer's tf variables."""
pass
@abc.abstractmethod
def get_parameters(self):
"""Get the layer parameters."""
pass
class Linear(BaseLayer):
"""Fully-Connected layer."""
def __init__(self, shape, name="linear", vnames=["W", "b"]):
"""Create a new linear layer instance."""
self.name = name
self.vnames = vnames
with tf.name_scope(self.name):
self.W = tf.Variable(
tf.truncated_normal(shape=shape, stddev=0.1), name=vnames[0])
self.b = tf.Variable(
tf.constant(0.1, shape=[shape[1]]), name=vnames[1])
def forward(self, X):
"""Forward propagate X through the fc layer."""
with tf.name_scope(self.name):
return tf.add(tf.matmul(X, self.W), self.b)
def backward(self, H):
"""Backward propagate H through the fc layer."""
pass
def get_variables(self):
"""Get layer's variables."""
return [self.W, self.b]
def get_parameters(self):
"""Return all the parameters of this layer."""
with tf.Session() as sess:
return {
self.names[0]: sess.run(self.W),
self.names[1]: sess.run(self.b)
}
class Activation(BaseLayer):
"""Activation function layer."""
def __init__(self, func, name="act_func"):
"""Create a new Activation layer instance."""
self.name = name
if func is not None:
self.func = func
else:
self.func = tf.identity
def forward(self, X):
"""Forward propagate X."""
return self.func(X)
def backward(self, H):
"""Backward propagate H through the fc layer."""
pass
def get_variables(self):
"""Return the layer's variables."""
pass
def get_parameters(self):
"""Return all the parameters of this layer."""
pass
class SoftMax(BaseLayer):
"""SoftMax layer."""
def __init__(self, prev_layer, n_classes, name="softmax"):
"""Create a new SoftMax layer instance."""
self.prev_layer = prev_layer
self.shape = (prev_layer.get_shape()[1].value, n_classes)
self.n_classes = n_classes
self.name = name
self.vs = ['softmax_W', 'softmax_b']
with tf.name_scope(self.name):
self.W = tf.Variable(
tf.truncated_normal(self.shape, stddev=0.1), name=self.vs[0])
self.b = tf.Variable(
tf.constant(0.1, shape=[n_classes]), name=self.vs[0])
def forward(self, X):
"""Forward propagate X."""
with tf.name_scope(self.name):
return tf.add(tf.matmul(self.prev_layer, self.W), self.b)
def backward(self, H):
"""Backward propagate H through the fc layer."""
pass
def get_variables(self):
"""Return the layer's variables."""
return (self.W, self.b)
def get_parameters(self):
"""Return all the parameters of this layer."""
with tf.Session() as sess:
return {
self.vs[0]: sess.run(self.W),
self.vs[1]: sess.run(self.b)
}
class Regularization(BaseLayer):
"""Regularization function layer."""
def __init__(self, variables, C, regtype="l2", name="act_func"):
"""Create a new Regularization layer instance."""
assert regtype in ["l1", "l2"]
self.variables = variables
self.C = C
self.regtype = regtype
self.name = name
def forward(self, X):
"""Forward propagate X."""
regs = tf.constant(0.0)
for v in self.variables:
if self.regtype == "l1":
regs = tf.add(regs, tf.reduce_sum(tf.abs(v)))
elif self.regtype == "l2":
regs = tf.add(regs, tf.nn.l2_loss(v))
return tf.mul(self.C, regs)
def backward(self, H):
"""Backward propagate H through the fc layer."""
pass
def get_variables(self):
"""Return the layer's variables."""
pass
def get_parameters(self):
"""Return all the parameters of this layer."""
pass
class Loss(BaseLayer):
"""Loss function layer."""
def __init__(self, mod_y, ref_y, loss_type, regterm=None,
summary=True, name="loss_func"):
"""Create a new Loss layer instance."""
assert loss_type in ["cross_entropy", "softmax_cross_entropy",
"mean_squared"]
self.mod_y = mod_y
self.ref_y = ref_y
self.loss_type = loss_type
self.regterm = regterm
self.name = name
if loss_type == "cross_entropy":
clip_inf = tf.clip_by_value(self.mod_y, 1e-10, float('inf'))
clip_sup = tf.clip_by_value(1 - self.mod_y, 1e-10, float('inf'))
loss = - tf.reduce_mean(tf.add(
tf.mul(self.ref_y, tf.log(clip_inf)),
tf.mul(tf.sub(1.0, self.ref_y), tf.log(clip_sup))))
elif loss_type == "softmax_cross_entropy":
loss = tf.contrib.losses.softmax_cross_entropy(
self.mod_y, self.ref_y)
elif loss_type == "mean_squared":
loss = tf.sqrt(tf.reduce_mean(
tf.square(tf.sub(self.ref_y, self.mod_y))))
self.loss = loss + regterm if regterm is not None else loss
if summary:
tf.summary.scalar(self.name, self.loss)
def forward(self, X):
"""Forward propagate X."""
pass
def backward(self, H):
"""Backward propagate H through the fc layer."""
pass
def get_variables(self):
"""Return the layer's variables."""
pass
def get_parameters(self):
"""Return all the parameters of this layer."""
pass
| 28.497738 | 77 | 0.563671 | 805 | 6,298 | 4.281988 | 0.154037 | 0.020888 | 0.023209 | 0.033072 | 0.531187 | 0.442994 | 0.400638 | 0.333623 | 0.333623 | 0.333623 | 0 | 0.007996 | 0.305017 | 6,298 | 220 | 78 | 28.627273 | 0.779529 | 0.18101 | 0 | 0.440299 | 0 | 0 | 0.033353 | 0.008439 | 0 | 0 | 0 | 0 | 0.014925 | 1 | 0.216418 | false | 0.119403 | 0.029851 | 0 | 0.350746 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
95dba8c035cf85f4ef8f4bc3e7a7c14c268076f1 | 1,797 | py | Python | engine/src/valet/engine/search/filters/cpu_filter.py | onap/optf-fgps | 1494071d0329698297c5d78ee0799dbff0b57e43 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | engine/src/valet/engine/search/filters/cpu_filter.py | onap/optf-fgps | 1494071d0329698297c5d78ee0799dbff0b57e43 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | engine/src/valet/engine/search/filters/cpu_filter.py | onap/optf-fgps | 1494071d0329698297c5d78ee0799dbff0b57e43 | [
"Apache-2.0",
"CC-BY-4.0"
] | 1 | 2021-10-15T18:54:03.000Z | 2021-10-15T18:54:03.000Z | #
# -------------------------------------------------------------------------
# Copyright (c) 2019 AT&T Intellectual Property
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# -------------------------------------------------------------------------
#
class CPUFilter(object):
def __init__(self):
self.name = "cpu"
self.status = None
def init_condition(self):
self.status = None
def check_pre_condition(self, _level, _v, _avail_hosts, _avail_groups):
return True
def filter_candidates(self, _level, _v, _candidate_list):
candidate_list = []
for c in _candidate_list:
if self._check_candidate(_level, _v, c):
candidate_list.append(c)
return candidate_list
def _check_candidate(self, _level, _v, _candidate):
"""Return True if host has sufficient CPU cores."""
avail_vcpus = _candidate.get_vcpus(_level)
instance_vcpus = _v.vCPUs
# TODO: need to check against original CPUs?
# Do not allow an instance to overcommit against itself,
# only against other instances.
# if instance_vcpus > vCPUs:
# return False
if avail_vcpus < instance_vcpus:
return False
return True
| 30.982759 | 76 | 0.606566 | 214 | 1,797 | 4.901869 | 0.518692 | 0.057197 | 0.028599 | 0.030505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0059 | 0.245409 | 1,797 | 57 | 77 | 31.526316 | 0.767699 | 0.530885 | 0 | 0.2 | 0 | 0 | 0.003681 | 0 | 0 | 0 | 0 | 0.017544 | 0 | 1 | 0.25 | false | 0 | 0 | 0.05 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
95eaee2ff327784e0d2a6285027d63a294194fa5 | 283 | py | Python | Programming_Maester/Phoneketmon.py | Mayner0220/Programmers | 42e4783a526506fb7d8208841a76201909ed5c5c | [
"Apache-2.0"
] | 1 | 2021-04-01T06:19:02.000Z | 2021-04-01T06:19:02.000Z | Programming_Maester/Phoneketmon.py | Mayner0220/Programmers | 42e4783a526506fb7d8208841a76201909ed5c5c | [
"Apache-2.0"
] | null | null | null | Programming_Maester/Phoneketmon.py | Mayner0220/Programmers | 42e4783a526506fb7d8208841a76201909ed5c5c | [
"Apache-2.0"
] | null | null | null | # https://programmers.co.kr/learn/courses/30/lessons/1845
def solution(nums):
if len(set(nums)) <= len(nums)/2:
return int(len(set(nums)))
else:
return int(len(nums)/2)
print(solution([3,1,2,3]))
print(solution([3,3,3,2,2,4]))
print(solution([3,3,3,2,2,2])) | 25.727273 | 57 | 0.618375 | 52 | 283 | 3.365385 | 0.442308 | 0.045714 | 0.24 | 0.171429 | 0.205714 | 0.205714 | 0.205714 | 0 | 0 | 0 | 0 | 0.099174 | 0.144876 | 283 | 11 | 58 | 25.727273 | 0.623967 | 0.194346 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.375 | 0.375 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
95ec274e03ce16625cb08ace26548a81e6d7c252 | 3,903 | py | Python | ooobuild/lo/xml/crypto/sax/xsax_event_keeper.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/xml/crypto/sax/xsax_event_keeper.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/xml/crypto/sax/xsax_event_keeper.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http: // www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Interface Class
# this is a auto generated file generated by Cheetah
# Libre Office Version: 7.3
# Namespace: com.sun.star.xml.crypto.sax
import typing
from abc import abstractmethod
from ....uno.x_interface import XInterface as XInterface_8f010a43
if typing.TYPE_CHECKING:
from ...sax.x_document_handler import XDocumentHandler as XDocumentHandler_9b90e28
from ...wrapper.xxml_element_wrapper import XXMLElementWrapper as XXMLElementWrapper_66c0107c
class XSAXEventKeeper(XInterface_8f010a43):
"""
Interface of SAX Event Keeper.
This interface is used to manipulate element marks in a SAX event stream.
There are two kinds of element mark, one is element collector, which is used to collect a particular element from the SAX event stream; the other is blocker, which is used to block the SAX event stream.
See Also:
`API XSAXEventKeeper <https://api.libreoffice.org/docs/idl/ref/interfacecom_1_1sun_1_1star_1_1xml_1_1crypto_1_1sax_1_1XSAXEventKeeper.html>`_
"""
__ooo_ns__: str = 'com.sun.star.xml.crypto.sax'
__ooo_full_ns__: str = 'com.sun.star.xml.crypto.sax.XSAXEventKeeper'
__ooo_type_name__: str = 'interface'
__pyunointerface__: str = 'com.sun.star.xml.crypto.sax.XSAXEventKeeper'
@abstractmethod
def addBlocker(self) -> int:
"""
Adds a new blocker on the next element in the SAX event stream.
No SAX event starting from the next element will be forwarded until this blocker is removed.
"""
@abstractmethod
def addElementCollector(self) -> int:
"""
Adds a new element collector on the next element in the SAX event stream.
"""
@abstractmethod
def getCurrentBlockingNode(self) -> 'XXMLElementWrapper_66c0107c':
"""
Gets the element which current blocking happens.
This element is the working element of the first blocker in tree order.
"""
@abstractmethod
def getElement(self, id: int) -> 'XXMLElementWrapper_66c0107c':
"""
Gets the element of an element mark.
"""
@abstractmethod
def isBlocking(self) -> bool:
"""
Checks whether the SAX event stream is blocking.
"""
@abstractmethod
def printBufferNodeTree(self) -> str:
"""
Prints information about all buffered elements.
"""
@abstractmethod
def removeBlocker(self, id: int) -> None:
"""
Removes a blocker.
"""
@abstractmethod
def removeElementCollector(self, id: int) -> None:
"""
Removes an element collector.
"""
@abstractmethod
def setElement(self, id: int, aElement: 'XXMLElementWrapper_66c0107c') -> None:
"""
Sets the element of an element mark.
When an element is replaced outside of this interface, then uses this method can restore the link between an element mark and its working element.
"""
@abstractmethod
def setNextHandler(self, nextHandler: 'XDocumentHandler_9b90e28') -> 'XDocumentHandler_9b90e28':
"""
Sets the next document handler in the SAX chain.
This handler will receive SAX events forwarded by the SAXEventKeeper.
"""
__all__ = ['XSAXEventKeeper']
| 37.171429 | 206 | 0.688189 | 486 | 3,903 | 5.417695 | 0.427984 | 0.064565 | 0.031903 | 0.032283 | 0.1485 | 0.095329 | 0.067983 | 0.067983 | 0.026586 | 0 | 0 | 0.024799 | 0.23546 | 3,903 | 104 | 207 | 37.528846 | 0.857574 | 0.517038 | 0 | 0.3125 | 0 | 0 | 0.173743 | 0.158067 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3125 | false | 0 | 0.15625 | 0 | 0.625 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
95f0995fad2f82fbbbdccca26aa5605a1c0767e1 | 84 | py | Python | libcity/model/traffic_od_prediction/__init__.py | LibCity/Bigscity-LibCity-Docs-zh_CN | 2be639c3fe7d75727ade18f473d6f625900f73f2 | [
"Apache-2.0"
] | 5 | 2021-09-28T12:32:50.000Z | 2022-02-03T09:04:35.000Z | libcity/model/traffic_od_prediction/__init__.py | aptx1231/Bigscity-TrafficDL-Docs-zh_CN | 2be639c3fe7d75727ade18f473d6f625900f73f2 | [
"Apache-2.0"
] | null | null | null | libcity/model/traffic_od_prediction/__init__.py | aptx1231/Bigscity-TrafficDL-Docs-zh_CN | 2be639c3fe7d75727ade18f473d6f625900f73f2 | [
"Apache-2.0"
] | 1 | 2021-12-16T05:10:35.000Z | 2021-12-16T05:10:35.000Z | from libcity.model.traffic_od_prediction.GEML import GEML
__all__ = [
"GEML"
]
| 14 | 57 | 0.738095 | 11 | 84 | 5.090909 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 84 | 5 | 58 | 16.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
2510cbb743f1f29e0bb13e1ae7ff3435645c3b4d | 184 | py | Python | libs/db_check.py | redpeacock78/bach_bot | 086efe4d6eef05fbdff6af34534e54e43fd9af88 | [
"MIT"
] | null | null | null | libs/db_check.py | redpeacock78/bach_bot | 086efe4d6eef05fbdff6af34534e54e43fd9af88 | [
"MIT"
] | null | null | null | libs/db_check.py | redpeacock78/bach_bot | 086efe4d6eef05fbdff6af34534e54e43fd9af88 | [
"MIT"
] | null | null | null | import mysql.connector as mydb
conn = mydb.connect(
host='mysql_container',
port='3306',
user='docker',
password='docker',
database='my_db'
)
conn.is_connected()
| 15.333333 | 30 | 0.657609 | 23 | 184 | 5.130435 | 0.826087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027027 | 0.195652 | 184 | 11 | 31 | 16.727273 | 0.77027 | 0 | 0 | 0 | 0 | 0 | 0.195652 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.111111 | 0.111111 | 0 | 0.111111 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
252143e0b4bc8782465cc8f472bab67d3793cee0 | 1,129 | py | Python | python/test_2020_04_2.py | wensby/advent-of-code | 50cd7fa2d35674d868a79ac8c75be24a43267e2b | [
"MIT"
] | null | null | null | python/test_2020_04_2.py | wensby/advent-of-code | 50cd7fa2d35674d868a79ac8c75be24a43267e2b | [
"MIT"
] | null | null | null | python/test_2020_04_2.py | wensby/advent-of-code | 50cd7fa2d35674d868a79ac8c75be24a43267e2b | [
"MIT"
] | null | null | null | import importlib
import unittest
solution = importlib.import_module('2020_04_2')
class Test2020Day4Part1(unittest.TestCase):
def test_example1(self):
input = (
'eyr:1972 cid:100\n'
'hcl:#18171d ecl:amb hgt:170 pid:186cm iyr:2018 byr:1926\n'
'\n'
'iyr:2019\n'
'hcl:#602927 eyr:1967 hgt:170cm\n'
'ecl:grn pid:012533040 byr:1946\n'
'\n'
'hcl:dab227 iyr:2012\n'
'ecl:brn hgt:182cm pid:021572410 eyr:2020 byr:1992 cid:277\n'
'\n'
'hgt:59cm ecl:zzz\n'
'eyr:2038 hcl:74454a iyr:2023\n'
'pid:3556412378 byr:2007\n'
'\n'
'pid:087499704 hgt:74in ecl:grn iyr:2012 eyr:2030 byr:1980\n'
'hcl:#623a2f\n'
'\n'
'eyr:2029 ecl:blu cid:129 byr:1989\n'
'iyr:2014 pid:896056539 hcl:#a97842 hgt:165cm\n'
'\n'
'hcl:#888785\n'
'hgt:164cm byr:2001 iyr:2015 cid:88\n'
'pid:545766238 ecl:hzl\n'
'eyr:2022\n'
'\n'
'iyr:2010 hgt:158cm hcl:#b6652a ecl:blu byr:1944 eyr:2021 pid:093154719\n'
)
self.assertEqual(solution.run(input), 4)
| 29.710526 | 82 | 0.578388 | 172 | 1,129 | 3.773256 | 0.488372 | 0.021572 | 0.015408 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.303659 | 0.273694 | 1,129 | 37 | 83 | 30.513514 | 0.487805 | 0 | 0 | 0.205882 | 0 | 0.029412 | 0.559787 | 0 | 0 | 0 | 0 | 0 | 0.029412 | 1 | 0.029412 | false | 0 | 0.088235 | 0 | 0.147059 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
252c453ec6e9dc3416a26d47c38bcfb973477454 | 74 | py | Python | python/sequences.py | saedyousef/Python-scratch | ba4bf88d1ad86beddc8c7c5e2f43c4e837e2861e | [
"MIT"
] | 5 | 2020-07-20T17:47:08.000Z | 2021-08-17T18:26:25.000Z | python/sequences.py | saedyousef/CS-50 | ba4bf88d1ad86beddc8c7c5e2f43c4e837e2861e | [
"MIT"
] | null | null | null | python/sequences.py | saedyousef/CS-50 | ba4bf88d1ad86beddc8c7c5e2f43c4e837e2861e | [
"MIT"
] | 1 | 2021-06-29T19:49:46.000Z | 2021-06-29T19:49:46.000Z | name = "Saeed"
cordinates = (10.0, 20.0)
names = ["Saeed", "Bob", "Mousa"] | 24.666667 | 33 | 0.581081 | 11 | 74 | 3.909091 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 0.148649 | 74 | 3 | 33 | 24.666667 | 0.587302 | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
255d6b11cbe644a12928787786f04d1940067a84 | 303 | py | Python | setup.py | StrykerKKD/dropbox-backup | 8ee692ef1de5be1e3257a627dc268b331694b2b8 | [
"MIT"
] | null | null | null | setup.py | StrykerKKD/dropbox-backup | 8ee692ef1de5be1e3257a627dc268b331694b2b8 | [
"MIT"
] | null | null | null | setup.py | StrykerKKD/dropbox-backup | 8ee692ef1de5be1e3257a627dc268b331694b2b8 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name='dropboxbackup',
version='0.1',
py_modules=['dropboxbackup'],
install_requires=[
'click',
'dropbox',
'simple-crypt'
],
entry_points='''
[console_scripts]
dropboxbackup=dropboxbackup:cli
''',
)
| 17.823529 | 39 | 0.574257 | 26 | 303 | 6.538462 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009259 | 0.287129 | 303 | 16 | 40 | 18.9375 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.409241 | 0.10231 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.066667 | 0 | 0.066667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
255eb03b3149f28db58ee09e23382f4784f486dd | 362 | py | Python | leadmanager/leads/views.py | mydjangoandreactprojects/lead-manager | 844c655dcd1010fb0b1cd889ddc94872aa4f15a0 | [
"MIT"
] | 1 | 2020-03-26T06:25:47.000Z | 2020-03-26T06:25:47.000Z | leadmanager/leads/views.py | mydjangoandreactprojects/lead-manager | 844c655dcd1010fb0b1cd889ddc94872aa4f15a0 | [
"MIT"
] | null | null | null | leadmanager/leads/views.py | mydjangoandreactprojects/lead-manager | 844c655dcd1010fb0b1cd889ddc94872aa4f15a0 | [
"MIT"
] | null | null | null | from rest_framework import viewsets, permissions
from leads.serializers import LeadSerializer
from leads.models import Lead
class LeadViewSet(viewsets.ModelViewSet):
"""Manage CRUD operations for Leads in the database"""
queryset = Lead.objects.all()
permission_classes = [
permissions.AllowAny
]
serializer_class = LeadSerializer
| 25.857143 | 58 | 0.756906 | 39 | 362 | 6.948718 | 0.717949 | 0.066421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179558 | 362 | 13 | 59 | 27.846154 | 0.912458 | 0.132597 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
255edfec817ac332c0a59a30e33ffe4ca99dbfbc | 207 | py | Python | app/main/errors.py | BABAYAGI/newsapi | 6127d51e702983f2928849bef08c5920f7d06a96 | [
"MIT"
] | 1 | 2019-10-15T08:16:17.000Z | 2019-10-15T08:16:17.000Z | app/main/errors.py | BABAYAGI/newsapi | 6127d51e702983f2928849bef08c5920f7d06a96 | [
"MIT"
] | null | null | null | app/main/errors.py | BABAYAGI/newsapi | 6127d51e702983f2928849bef08c5920f7d06a96 | [
"MIT"
] | null | null | null | from flask import render_template
from . import main
@main.app_errorhandler(404)
def fo_O_fo(error):
"""
Function to render the 404 error page
"""
return render_template('fo_O_fo.html'), 404 | 23 | 47 | 0.714976 | 32 | 207 | 4.40625 | 0.59375 | 0.198582 | 0.070922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053571 | 0.188406 | 207 | 9 | 47 | 23 | 0.785714 | 0.178744 | 0 | 0 | 0 | 0 | 0.077419 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
255f1d23b8f394dc79d9946c976e6a08c2991d2e | 18,476 | py | Python | Collage_generator/_insertion.py | alexliyihao/AAPI_code | 81c6cc40a9efb4d4fedf6678c27aac83f5057a70 | [
"MIT"
] | 2 | 2020-11-29T17:00:52.000Z | 2022-01-06T19:24:23.000Z | Collage_generator/_insertion.py | alexliyihao/AAPI_code | 81c6cc40a9efb4d4fedf6678c27aac83f5057a70 | [
"MIT"
] | null | null | null | Collage_generator/_insertion.py | alexliyihao/AAPI_code | 81c6cc40a9efb4d4fedf6678c27aac83f5057a70 | [
"MIT"
] | null | null | null | import PIL.Image as Img
import numpy as np
from tqdm.notebook import tqdm
from PIL import ImageFilter
import tables
import time
import gc
"""
all the insert/append function for collage generator
_canvas_append takes the inserting operation, the rest are finding add_point logic
"""
class _insertion():
def _canvas_append(self,
canvas: np.ndarray,
add_point: np.ndarray,
img: np.ndarray,
mask: np.ndarray = None,
mask_label: int = None,
mode = "label",
format = "pixel"):
"""
the actual working part, add a image to a canvas
Args:
canvas: np.ndarray, 3-channel canvas
add_point: tuple of int, the topleft point of the image to be added
img: np.ndarray, 3-channel, the vignette to be added
mask: np.ndarray(if it's there), 1-channel/4-channels, the mask with the canvas
mask_label: int/2d np.ndarray/4 channels np.ndarray, the value of this label onto the mask
mode: str, "label" or "pattern", how the mask be overwritten,
if "label", it will use the int mask_label
if "pattern", it will copy the np.ndarray passed to mask_label
format: str, "pixel" or "COCO", how the mask will be updates by new vignettes
in "pixel", each individual mask will be saved on the same dimension
if "COCO", each individual mask will be saved by a different color on a 3-channel mask
Return:
canvas: np.ndarray of 3 channels, the canvas with img added.
mask: if format is "pixel" np.ndarray of 1 channel, the mask with img's label added.
if format is "COCO", np.ndarray of 4-channels, the mask with img's label added.
"""
assert format in ["pixel", "COCO"]
# if there's no mask (preview/background)
if type(mask) != np.ndarray:
# add img to canvas, if there's any overlap, skip it
np.add(canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
img,
where = (canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]] == 0),
out = canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
casting = "unsafe")
# return canvas
return canvas
#if there's a mask, from the logic of the functions below,
#we are going to direcly add these value to a 0-filled canvas and mask
else:
if format == "pixel":
# add image to canvas
np.add(canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
img,
out = canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
casting = "unsafe")
# add label to mask
if mode == "label":
# if in label mode, we are adding this label int value to all nonzero space
np.add(mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
mask_label*np.any(img, axis = 2),
out = mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
casting = "unsafe")
else:
#else we are adding a pattern, copy the while pattern
np.add(mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
mask_label,
out = mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
casting = "unsafe")
return canvas, mask
# if we are building a COCO mode
if format == "COCO":
if mode == "label":
# generate a new color for this object
_new_color, self.existed_color = self._generate_new_color(self.existed_color)
self.color_dict[str(tuple(_new_color.tolist()))] = mask_label
# we have COCO format use as following, first layer will work as the pixel mask,
# and the rest will following, the first layer will be removed when converted to COCO
if mask.ndim == 2:
# if the mask only have one layer, it must be the start mask
# add 3 new layers as the RGB recording
mask = np.stack((mask, np.zeros_like(mask),np.zeros_like(mask),np.zeros_like(mask)), axis = -1)
# add image to canvas, add different label to different channel of the mask
np.add(canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
img,
out = canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
casting="unsafe")
np.add(mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1],0],
mask_label*np.any(img, axis = 2),
out = mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1],0],
casting="unsafe")
np.add(mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1],1:4],
np.any(img, axis = 2, keepdims = True)*_new_color,
mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1],1:4],
casting="unsafe")
return canvas, mask
else:
if mask.ndim == 2:
mask = np.stack((mask, np.zeros_like(mask),np.zeros_like(mask),np.zeros_like(mask)), axis = -1)
np.add(canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
img,
out = canvas[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
casting="unsafe")
np.add(mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
mask_label,
out = mask[add_point[0]:add_point[0]+img.shape[0], add_point[1]:add_point[1]+img.shape[1]],
casting="unsafe")
return canvas, mask
def _init_insert(self,
img: np.ndarray,
canvas: np.ndarray,
mask: np.ndarray,
label: int,
mode = "pattern",
format = "pixel"):
"""
find a random legal position in canvas, append img to canvas and mask
Args:
img: np.ndarray of 3 channels, the vignette to be added
canvas: np.ndarray of 3 channels, the canvas
mask: 2d/4-channel np.ndarray, the mask
label: the label to be added
mode: str, "label" or "pattern", see mode in _canvas_append()
format: str, see format in _canvas_append()
Return:
canvas: np.ndarray of 3 channels, the canvas with img added.
mask: np.ndarray of 1 channel, the mask with img's label added.
"""
_outer_bound = (canvas.shape[0] - img.shape[0], canvas.shape[1] - img.shape[1])
# select an initial add_point
_add_point = np.array((np.random.randint(low = self._scanning_constant,
high = _outer_bound[0] - self._scanning_constant),
np.random.randint(low = self._scanning_constant,
high = _outer_bound[1] - self._scanning_constant)))
# create a binary mask of the img
_img_mask = np.any(img, axis = 2)
# directly use the _add_point
canvas, mask = self._canvas_append(canvas = canvas,
add_point = _add_point,
img = img,
mask = mask,
mask_label = label,
mode = mode,
format = format)
return canvas, mask
def _secondary_insert(self,
img: np.ndarray,
canvas: np.ndarray,
mask: np.ndarray,
label: int,
patience: int,
mode = "label",
format = "pixel"):
"""
find a random non-overlapping position in canvas, append img to canvas and mask
Args:
img: np.ndarray of 3 channels, the vignette to be added
canvas: np.ndarray of 3 channels, the canvas
mask: 2d/4-channel np.ndarray, the mask
label: the label to be added
patience: int, the retry time for finding non-overlapping position
mode: str, "label" or "pattern", see mode in _canvas_append()
format: str, see format in _canvas_append()
Return:
canvas: np.ndarray of 3 channels, the canvas with img added,
if the tries in {patience} times succssfully added the img onto canvas,
otherwise the original canvas is returned
mask: np.ndarray of 2d or 4 channels, the mask with img added,
if the tries in {patience} times succssfully added the img onto canvas,
otherwise the original mask if returned
"""
_outer_bound = (canvas.shape[0] - img.shape[0], canvas.shape[1] - img.shape[1])
# select an initial add_point
_add_point = np.array((np.random.randint(
low = self._scanning_constant,
high = _outer_bound[0] - self._scanning_constant),
np.random.randint(
low = self._scanning_constant,
high = _outer_bound[1] - self._scanning_constant)
))
# create a binary mask of the img
_img_mask = np.any(img, axis = 2)
for retry in range(patience):
# for each time make a small move
_add_point = _add_point + np.random.randint(
low = -1*self._scanning_constant,
high = self._scanning_constant,
size = 2)
# make sure the new value is legal
_add_point = np.clip(a = _add_point,
a_min = (0,0),
a_max = _outer_bound)
# check if there's any overlap
# in pixel format check the mask directly
if format == "pixel":
_check_zone = mask[_add_point[0]:_add_point[0]+_img_mask.shape[0],
_add_point[1]:_add_point[1]+_img_mask.shape[1]]
# in COCO format check the first layer of mask
else:
_check_zone = mask[_add_point[0]:_add_point[0]+_img_mask.shape[0],
_add_point[1]:_add_point[1]+_img_mask.shape[1],
0]
# if so
if np.any(np.multiply(_check_zone,_img_mask)) == True:
#retry for a new point
continue
# otherwise add the img to canvas and mask and stop retry
else:
canvas, mask = self._canvas_append(canvas = canvas,
add_point = _add_point,
img = img,
mask = mask,
mask_label = label,
mode = mode,
format = format)
break
gc.collect()
return canvas, mask
def _try_insert(self,
img: np.ndarray,
canvas: np.ndarray,
mask: np.ndarray,
label: int,
patience: int,
mode = "label",
format = "pixel"):
"""
try to insert img into canvas and mask using a escape-overlapping algorithm
if the initial point is overlapping, try to "escape" the overlapping
and append at the first position successfuly escape
if the initial point is not overlapping, try to find a overlapping point
and append at the last non-overlapping point before this one
Args:
img: np.ndarray of 3 channels, the vignette to be added
canvas: np.ndarray of 3 channels, the canvas
mask: 2d/4-channel np.ndarray, the mask
label: the label to be added
patience: int, the retry time for finding non-overlapping position
mode: str, "label" or "pattern", see mode in _canvas_append()
format: str, see format in _canvas_append()
Return:
canvas: np.ndarray of 3 channels, the canvas with img added,
if the tries in {patience} times succssfully added the img onto canvas,
otherwise the original canvas is returned
mask: np.ndarray of 2d or 4 channels, the mask with img added,
if the tries in {patience} times succssfully added the img onto canvas,
otherwise the original mask if returned
"""
_outer_bound = (canvas.shape[0] - img.shape[0], canvas.shape[1] - img.shape[1])
# select an initial add_point
_add_point = np.array((np.random.randint(low = self._scanning_constant,
high = _outer_bound[0] - self._scanning_constant),
np.random.randint(low = self._scanning_constant,
high = _outer_bound[1] - self._scanning_constant)))
# create a binary mask of the img
_img_mask = np.any(img, axis = 2)
# check if there's any overlap
if format == "pixel":
_check_zone = mask[_add_point[0]:_add_point[0]+_img_mask.shape[0],
_add_point[1]:_add_point[1]+_img_mask.shape[1]]
# in COCO format check the first layer of mask
else:
_check_zone = mask[_add_point[0]:_add_point[0]+_img_mask.shape[0],
_add_point[1]:_add_point[1]+_img_mask.shape[1],
0]
# if we start with an overlap, we need to escape from overlap, otherwise we need to find a overlap
_init_overlapped = np.any(np.multiply(_check_zone,_img_mask))
# if we are in a finding mode and need to record the last add point
_last_add_point = _add_point
# in the patience time
for retry in range(patience):
# for each time make a small move
_add_point = _add_point + np.random.randint(low = -1*self._scanning_constant,
high = self._scanning_constant,
size = 2)
# make sure the new value is legal
_add_point = np.clip(a = _add_point,
a_min = (0,0),
a_max = _outer_bound)
# check if there's any overlap
if format == "pixel":
_check_zone = mask[_add_point[0]:_add_point[0]+_img_mask.shape[0],
_add_point[1]:_add_point[1]+_img_mask.shape[1]]
# in COCO format check the first layer of mask
else:
_check_zone = mask[_add_point[0]:_add_point[0]+_img_mask.shape[0],
_add_point[1]:_add_point[1]+_img_mask.shape[1],
0]
# check if there's overlap
_overlap = np.any(np.multiply(_check_zone,_img_mask))
# if we had a overlap in "escaping"
if (_overlap == True) and (_init_overlapped == True):
#retry for a new point
continue
# if we met the first non-overlap while escaping
elif (_overlap == False) and (_init_overlapped == True):
#stop the finding
canvas, mask = self._canvas_append(canvas = canvas,
add_point = _add_point,
img = img,
mask = mask,
mask_label = label,
mode = mode,
format = format)
break
# if we are finding but not found
elif (_overlap == False) and (_init_overlapped == False):
#record last add_point and retry for a new point
_last_add_point = _add_point
continue
# or we are finding a overlap and found it, we need to use the last
else:
canvas, mask = self._canvas_append(canvas = canvas,
add_point = _last_add_point,
img = img,
mask = mask,
mask_label = label,
mode = mode,
format = format)
break
gc.collect()
return canvas, mask
| 54.662722 | 120 | 0.500758 | 2,231 | 18,476 | 3.983864 | 0.098162 | 0.118812 | 0.05063 | 0.033753 | 0.726035 | 0.697795 | 0.670905 | 0.661566 | 0.658078 | 0.658078 | 0 | 0.02108 | 0.414592 | 18,476 | 337 | 121 | 54.824926 | 0.800666 | 0.29974 | 0 | 0.791045 | 0 | 0 | 0.011417 | 0 | 0 | 0 | 0 | 0 | 0.004975 | 1 | 0.019901 | false | 0 | 0.034826 | 0 | 0.094527 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
256c5471eacba768e9791f30d6ef0762118cc682 | 181 | py | Python | codility/1_3.py | love-adela/algorithm | 4ccd02173c96f8369962f1fd4e5166a221690fa2 | [
"MIT"
] | 3 | 2019-03-09T05:19:23.000Z | 2019-04-06T09:26:36.000Z | codility/1_3.py | love-adela/algorithm | 4ccd02173c96f8369962f1fd4e5166a221690fa2 | [
"MIT"
] | 1 | 2020-02-23T10:38:04.000Z | 2020-02-23T10:38:04.000Z | codility/1_3.py | love-adela/algorithm | 4ccd02173c96f8369962f1fd4e5166a221690fa2 | [
"MIT"
] | 1 | 2019-05-22T13:47:53.000Z | 2019-05-22T13:47:53.000Z | def solution(S):
rs = ""
for i in S:
if i != " ":
rs += i
else:
rs += "%20"
return rs
S = "Mr John Smith"
print(solution(S))
| 12.066667 | 23 | 0.381215 | 24 | 181 | 2.875 | 0.625 | 0.26087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 0.469613 | 181 | 14 | 24 | 12.928571 | 0.697917 | 0 | 0 | 0 | 0 | 0 | 0.093923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.2 | 0.1 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c24fdcfaa37586667c8318eb6776d1204e6b7822 | 6,043 | py | Python | vendor/packages/nose/functional_tests/test_importer.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | 2 | 2019-08-19T17:08:47.000Z | 2019-10-05T11:37:02.000Z | vendor/packages/nose/functional_tests/test_importer.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | null | null | null | vendor/packages/nose/functional_tests/test_importer.py | jgmize/kitsune | 8f23727a9c7fcdd05afc86886f0134fb08d9a2f0 | [
"BSD-3-Clause"
] | 1 | 2019-11-02T23:29:13.000Z | 2019-11-02T23:29:13.000Z | import os
import sys
import unittest
from nose.importer import Importer
class TestImporter(unittest.TestCase):
def setUp(self):
self.dir = os.path.normpath(os.path.join(os.path.dirname(__file__),
'support'))
self.imp = Importer()
self._mods = sys.modules.copy()
self._path = sys.path[:]
sys.modules.pop('mod', None)
sys.modules.pop('pak', None)
sys.modules.pop('pak.mod', None)
sys.modules.pop('pak.sub', None)
def tearDown(self):
to_del = [ m for m in sys.modules.keys() if
m not in self._mods ]
if to_del:
for mod in to_del:
del sys.modules[mod]
sys.modules.update(self._mods)
sys.path = self._path[:]
def test_import_from_dir(self):
imp = self.imp
d1 = os.path.join(self.dir, 'dir1')
d2 = os.path.join(self.dir, 'dir2')
# simple name
m1 = imp.importFromDir(d1, 'mod')
m2 = imp.importFromDir(d2, 'mod')
self.assertNotEqual(m1, m2)
self.assertNotEqual(m1.__file__, m2.__file__)
# dotted name
p1 = imp.importFromDir(d1, 'pak.mod')
p2 = imp.importFromDir(d2, 'pak.mod')
self.assertNotEqual(p1, p2)
self.assertNotEqual(p1.__file__, p2.__file__)
def test_import_from_path(self):
imp = self.imp
jn = os.path.join
d1 = jn(self.dir, 'dir1')
d2 = jn(self.dir, 'dir2')
# simple name
m1 = imp.importFromPath(jn(d1, 'mod.py'), 'mod')
m2 = imp.importFromPath(jn(d2, 'mod.py'), 'mod')
self.assertNotEqual(m1, m2)
self.assertNotEqual(m1.__file__, m2.__file__)
# dotted name
p1 = imp.importFromPath(jn(d1, 'pak', 'mod.py'), 'pak.mod')
p2 = imp.importFromPath(jn(d2, 'pak', 'mod.py'), 'pak.mod')
self.assertNotEqual(p1, p2)
self.assertNotEqual(p1.__file__, p2.__file__)
# simple name -- package
sp1 = imp.importFromPath(jn(d1, 'pak'), 'pak')
sp2 = imp.importFromPath(jn(d2, 'pak'), 'pak')
self.assertNotEqual(sp1, sp2)
assert sp1.__path__
assert sp2.__path__
self.assertNotEqual(sp1.__path__, sp2.__path__)
# dotted name -- package
dp1 = imp.importFromPath(jn(d1, 'pak', 'sub'), 'pak.sub')
dp2 = imp.importFromPath(jn(d2, 'pak', 'sub'), 'pak.sub')
self.assertNotEqual(dp1, dp2)
assert dp1.__path__
assert dp2.__path__
self.assertNotEqual(dp1.__path__, dp2.__path__)
def test_import_sets_intermediate_modules(self):
imp = self.imp
path = os.path.join(self.dir,
'package2', 'test_pak', 'test_sub', 'test_mod.py')
mod = imp.importFromPath(path, 'test_pak.test_sub.test_mod')
print mod, dir(mod)
assert 'test_pak' in sys.modules, 'test_pak was not imported?'
test_pak = sys.modules['test_pak']
assert hasattr(test_pak, 'test_sub'), "test_pak.test_sub was not set"
def test_cached_no_reload(self):
imp = self.imp
d1 = os.path.join(self.dir, 'dir1')
m1 = imp.importFromDir(d1, 'mod')
m2 = imp.importFromDir(d1, 'mod')
assert m1 is m2, "%s is not %s" % (m1, m2)
def test_cached_no_reload_dotted(self):
imp = self.imp
d1 = os.path.join(self.dir, 'dir1')
p1 = imp.importFromDir(d1, 'pak.mod')
p2 = imp.importFromDir(d1, 'pak.mod')
assert p1 is p2, "%s is not %s" % (p1, p2)
def test_import_sets_sys_modules(self):
imp = self.imp
d1 = os.path.join(self.dir, 'dir1')
p1 = imp.importFromDir(d1, 'pak.mod')
assert sys.modules['pak.mod'] is p1, "pak.mod not in sys.modules"
assert sys.modules['pak'], "pak not in sys.modules"
assert sys.modules['pak'].mod is p1, \
"sys.modules['pak'].mod is not the module we loaded"
def test_failed_import_raises_import_error(self):
imp = self.imp
def bad_import():
imp.importFromPath(self.dir, 'no.such.module')
self.assertRaises(ImportError, bad_import)
def test_sys_modules_same_path_no_reload(self):
imp = self.imp
d1 = os.path.join(self.dir, 'dir1')
d2 = os.path.join(self.dir, 'dir2')
sys.path.insert(0, d1)
mod_sys_imported = __import__('mod')
mod_nose_imported = imp.importFromDir(d1, 'mod')
assert mod_nose_imported is mod_sys_imported, \
"nose reimported a module in sys.modules from the same path"
mod_nose_imported2 = imp.importFromDir(d2, 'mod')
assert mod_nose_imported2 != mod_sys_imported, \
"nose failed to reimport same name, different dir"
def test_import_pkg_from_path_fpw(self):
imp = self.imp
imp.config.firstPackageWins = True
jn = os.path.join
d1 = jn(self.dir, 'dir1')
d2 = jn(self.dir, 'dir2')
# dotted name
p1 = imp.importFromPath(jn(d1, 'pak', 'mod.py'), 'pak.mod')
p2 = imp.importFromPath(jn(d2, 'pak', 'mod.py'), 'pak.mod')
self.assertEqual(p1, p2)
self.assertEqual(p1.__file__, p2.__file__)
# simple name -- package
sp1 = imp.importFromPath(jn(d1, 'pak'), 'pak')
sp2 = imp.importFromPath(jn(d2, 'pak'), 'pak')
self.assertEqual(sp1, sp2)
assert sp1.__path__
assert sp2.__path__
self.assertEqual(sp1.__path__, sp2.__path__)
# dotted name -- package
dp1 = imp.importFromPath(jn(d1, 'pak', 'sub'), 'pak.sub')
dp2 = imp.importFromPath(jn(d2, 'pak', 'sub'), 'pak.sub')
self.assertEqual(dp1, dp2)
assert dp1.__path__
assert dp2.__path__
self.assertEqual(dp1.__path__, dp2.__path__)
if __name__ == '__main__':
import logging
logging.basicConfig(level=logging.DEBUG)
unittest.main()
| 35.757396 | 78 | 0.580837 | 784 | 6,043 | 4.228316 | 0.133929 | 0.040121 | 0.080241 | 0.038009 | 0.561689 | 0.509502 | 0.478733 | 0.461237 | 0.415988 | 0.355354 | 0 | 0.029903 | 0.286116 | 6,043 | 168 | 79 | 35.970238 | 0.738526 | 0.027635 | 0 | 0.416667 | 0 | 0 | 0.117286 | 0.008183 | 0 | 0 | 0 | 0 | 0.272727 | 0 | null | null | 0 | 0.363636 | null | null | 0.007576 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
c2531eebc4b5c56768575d213a86688eb0c965b8 | 161 | py | Python | rhg_compute_tools/__init__.py | dpa9694/rhg_compute_tools | f111c380e3672983fa62795346be631e62c12611 | [
"MIT"
] | null | null | null | rhg_compute_tools/__init__.py | dpa9694/rhg_compute_tools | f111c380e3672983fa62795346be631e62c12611 | [
"MIT"
] | 2 | 2020-05-31T20:40:25.000Z | 2020-07-15T16:51:55.000Z | rhg_compute_tools/__init__.py | dpa9694/rhg_compute_tools | f111c380e3672983fa62795346be631e62c12611 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Top-level package for RHG Compute Tools."""
__author__ = """Michael Delgado"""
__email__ = 'mdelgado@rhg.com'
__version__ = '0.2.1'
| 20.125 | 46 | 0.645963 | 21 | 161 | 4.380952 | 0.952381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028986 | 0.142857 | 161 | 7 | 47 | 23 | 0.637681 | 0.391304 | 0 | 0 | 0 | 0 | 0.391304 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c2544d4b8163352d260ea54398086333ae611bb9 | 271 | py | Python | apps/core/models/colabore.py | bispojr/observatorio-ufj-covid19 | 8667fae1367b95a7dfa8558fbac3b1b0b708af8d | [
"MIT"
] | 3 | 2020-04-02T21:59:19.000Z | 2020-12-03T12:37:26.000Z | apps/core/models/colabore.py | bispojr/observatorio-ufj-covid19 | 8667fae1367b95a7dfa8558fbac3b1b0b708af8d | [
"MIT"
] | 68 | 2020-03-28T22:40:08.000Z | 2020-07-08T18:04:07.000Z | apps/core/models/colabore.py | bispojr/observatorio-ufj-covid19 | 8667fae1367b95a7dfa8558fbac3b1b0b708af8d | [
"MIT"
] | 5 | 2020-03-28T21:35:30.000Z | 2020-06-10T01:28:14.000Z |
class Colabore():
def getContext(self):
return self.__contextColabore(self)
def __contextColabore(self):
context = {
"grupo": "geral",
"grupo_link": "saiba_mais",
"titulo": "Observatório UFJ Covid-19 - Colabore"
}
return context | 20.846154 | 50 | 0.630996 | 27 | 271 | 6.111111 | 0.666667 | 0.230303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009756 | 0.243542 | 271 | 13 | 51 | 20.846154 | 0.795122 | 0 | 0 | 0 | 0 | 0 | 0.265683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0.1 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c25f9adb65d5dc5bc38b8b33443e4276d20956b1 | 685 | py | Python | ATM/atm_function.py | nouranHnouh/FormusWorkshop- | 7f69b9d2226209adcc6ecb208ac426eec7e86d2b | [
"MIT"
] | null | null | null | ATM/atm_function.py | nouranHnouh/FormusWorkshop- | 7f69b9d2226209adcc6ecb208ac426eec7e86d2b | [
"MIT"
] | null | null | null | ATM/atm_function.py | nouranHnouh/FormusWorkshop- | 7f69b9d2226209adcc6ecb208ac426eec7e86d2b | [
"MIT"
] | null | null | null | #this program is atm that withdraw any money amount
#allowed papers: 100,50,10,5, and the rest of requests
def withdraw(balance,request):
if request>balance:
print "can`t give you all this money"
while request>0:
if request>=100:
request-=100
print "give 100"
elif request>=50:
request-=50
print "give 50"
elif request>=10:
request-=10
print "give 10"
elif request>=5:
request-=5
print "give 5"
elif request<5:
request-=3
print "give 2"
return balance-request
balance = 500
balance = withdraw(balance, 277)
balance = withdraw(balance, 30)
balance = withdraw(balance, 5)
balance = withdraw(balance, 500)
| 13.7 | 55 | 0.659854 | 99 | 685 | 4.565657 | 0.393939 | 0.165929 | 0.19469 | 0.084071 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091954 | 0.237956 | 685 | 49 | 56 | 13.979592 | 0.773946 | 0.151825 | 0 | 0 | 0 | 0 | 0.109375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.24 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c264fe174bb79ece1406b41e4cb858d0735178ff | 1,140 | py | Python | plugins/cuckoo/komand_cuckoo/actions/vpn_status/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/cuckoo/komand_cuckoo/actions/vpn_status/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/cuckoo/komand_cuckoo/actions/vpn_status/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Component:
DESCRIPTION = "Returns VPN status"
class Input:
pass
class Output:
VPNS = "vpns"
class VpnStatusInput(komand.Input):
schema = json.loads("""
{}
""")
def __init__(self):
super(self.__class__, self).__init__(self.schema)
class VpnStatusOutput(komand.Output):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"vpns": {
"type": "array",
"title": "VPN Statuses",
"description": "VPN status array",
"items": {
"$ref": "#/definitions/vpn"
},
"order": 1
}
},
"required": [
"vpns"
],
"definitions": {
"vpn": {
"type": "object",
"title": "vpn",
"properties": {
"name": {
"type": "string",
"title": "Name",
"order": 1
},
"status": {
"type": "string",
"title": "Status",
"order": 2
}
}
}
}
}
""")
def __init__(self):
super(self.__class__, self).__init__(self.schema)
| 16.764706 | 57 | 0.490351 | 102 | 1,140 | 5.245098 | 0.421569 | 0.059813 | 0.056075 | 0.059813 | 0.160748 | 0.160748 | 0.160748 | 0.160748 | 0.160748 | 0.160748 | 0 | 0.003953 | 0.334211 | 1,140 | 67 | 58 | 17.014925 | 0.700922 | 0.032456 | 0 | 0.290909 | 1 | 0 | 0.607629 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0.018182 | 0.036364 | 0 | 0.236364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c268a7da87d9bb0526fdc4df929e276c63494567 | 8,095 | py | Python | HW_new_contact.py | AnastasiiaSarkisova/Home-Work-1 | 9021e9323a08f9dd96323b763aa0b0e689df24f8 | [
"Apache-2.0"
] | null | null | null | HW_new_contact.py | AnastasiiaSarkisova/Home-Work-1 | 9021e9323a08f9dd96323b763aa0b0e689df24f8 | [
"Apache-2.0"
] | null | null | null | HW_new_contact.py | AnastasiiaSarkisova/Home-Work-1 | 9021e9323a08f9dd96323b763aa0b0e689df24f8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from selenium.webdriver.firefox.webdriver import WebDriver
import unittest
from group import Group
from contact import Contact
def is_alert_present(wd):
try:
wd.switch_to_alert().text
return True
except:
return False
class HW_new_contact(unittest.TestCase):
def setUp(self):
self.wd = WebDriver(capabilities={"marionette": False})
self.wd.implicitly_wait(60)
def test_HW_new_contact(self):
wd = self.wd
self.open_webpage(wd)
self.login(wd, username="admin", password="secret")
wd.find_element_by_xpath("//form[@id='LoginForm']/input[3]").click()
self.link_to_group_page(wd)
self.create_a_new_group(wd, Group(name="group.Chupakabra", header="group.Chupakabra Header",
footer="group.Chupakabra footer"))
self.group_verification(wd)
self.new_contac_page(wd)
self.contact_information(wd, Contact(firstname="Abra", middlename="Kadabra",
lastname="Chupakabra", nickname="Chupakabra", title="My Title",
company="Home", address="557 Mayfair Walk Ave, Las Vegas NV 89173",
home="7023542185", mobile="6504655622", work="7023336669",
fax="1234567890", email="test@test.com", email2="test@gmail.com",
email3="test.mail.ru", homepage="yahoo.com",
address2="123 new address test", phone2="123 home address",
notes="my notes bla bla bla"))
self.submit_cotact_information(wd)
wd.find_element_by_link_text("Logout").click()
def submit_cotact_information(self, wd):
wd.find_element_by_xpath("//div[@id='content']/form/input[21]").click()
def contact_information(self, wd, contact):
wd.find_element_by_name("firstname").click()
wd.find_element_by_name("firstname").clear()
wd.find_element_by_name("firstname").send_keys(contact.firstname)
wd.find_element_by_name("middlename").click()
wd.find_element_by_name("middlename").clear()
wd.find_element_by_name("middlename").send_keys(contact.middlename)
wd.find_element_by_name("lastname").click()
wd.find_element_by_name("lastname").clear()
wd.find_element_by_name("lastname").send_keys(contact.lastname)
wd.find_element_by_name("nickname").click()
wd.find_element_by_name("nickname").clear()
wd.find_element_by_name("nickname").send_keys(contact.nickname)
wd.find_element_by_name("title").click()
wd.find_element_by_name("title").clear()
wd.find_element_by_name("title").send_keys(contact.title)
wd.find_element_by_name("company").click()
wd.find_element_by_name("company").clear()
wd.find_element_by_name("company").send_keys(contact.company)
wd.find_element_by_name("address").click()
wd.find_element_by_name("address").clear()
wd.find_element_by_name("address").send_keys(contact.address)
wd.find_element_by_name("home").click()
wd.find_element_by_name("home").clear()
wd.find_element_by_name("home").send_keys(contact.home)
wd.find_element_by_name("mobile").click()
wd.find_element_by_name("mobile").clear()
wd.find_element_by_name("mobile").send_keys(contact.mobile)
wd.find_element_by_name("work").click()
wd.find_element_by_name("work").clear()
wd.find_element_by_name("work").send_keys(contact.work)
wd.find_element_by_name("fax").click()
wd.find_element_by_name("fax").clear()
wd.find_element_by_name("fax").send_keys(contact.fax)
wd.find_element_by_name("email").click()
wd.find_element_by_name("email").clear()
wd.find_element_by_name("email").send_keys(contact.email)
wd.find_element_by_name("email2").click()
wd.find_element_by_name("email2").clear()
wd.find_element_by_name("email2").send_keys(contact.email2)
wd.find_element_by_name("email2").click()
wd.find_element_by_name("email2").clear()
wd.find_element_by_name("email2").send_keys(contact.email2)
wd.find_element_by_name("email3").click()
wd.find_element_by_name("email3").clear()
wd.find_element_by_name("email3").send_keys(contact.email3)
wd.find_element_by_name("homepage").click()
wd.find_element_by_name("homepage").clear()
wd.find_element_by_name("homepage").send_keys(contact.homepage)
if not wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[17]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[1]//option[17]").click()
if not wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[12]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[2]//option[12]").click()
wd.find_element_by_name("byear").click()
wd.find_element_by_name("byear").clear()
wd.find_element_by_name("byear").send_keys("1986")
if not wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[7]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[3]//option[7]").click()
if not wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[3]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[4]//option[3]").click()
wd.find_element_by_name("ayear").click()
wd.find_element_by_name("ayear").clear()
wd.find_element_by_name("ayear").send_keys("2018")
if not wd.find_element_by_xpath("//div[@id='content']/form/select[5]//option[2]").is_selected():
wd.find_element_by_xpath("//div[@id='content']/form/select[5]//option[2]").click()
wd.find_element_by_name("address2").click()
wd.find_element_by_name("address2").clear()
wd.find_element_by_name("address2").send_keys(contact.address2)
wd.find_element_by_name("phone2").click()
wd.find_element_by_name("phone2").clear()
wd.find_element_by_name("phone2").send_keys(contact.phone2)
wd.find_element_by_name("notes").click()
wd.find_element_by_name("notes").clear()
wd.find_element_by_name("notes").send_keys(contact.notes)
def new_contac_page(self, wd):
wd.find_element_by_link_text("add new").click()
def group_verification(self, wd):
wd.find_element_by_link_text("group page").click()
def create_a_new_group(self, wd, group):
wd.find_element_by_name("new").click()
wd.find_element_by_name("group_name").click()
wd.find_element_by_name("group_name").clear()
wd.find_element_by_name("group_name").send_keys(group.name)
wd.find_element_by_name("group_header").click()
wd.find_element_by_name("group_header").clear()
wd.find_element_by_name("group_header").send_keys(group.header)
wd.find_element_by_name("group_footer").click()
wd.find_element_by_name("group_footer").clear()
wd.find_element_by_name("group_footer").send_keys(group.footer)
wd.find_element_by_name("submit").click()
def link_to_group_page(self, wd):
wd.find_element_by_link_text("groups").click()
def login(self, wd, username="admin", password="secret"):
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element_by_name("user").send_keys(username)
wd.find_element_by_name("pass").click()
wd.find_element_by_name("pass").clear()
wd.find_element_by_name("pass").send_keys(password)
def open_webpage(self, wd):
wd.get("http://localhost/addressbook/addressbook/edit.php")
def tearDown(self):
self.wd.quit()
if __name__ == '__main__':
unittest.main()
| 51.891026 | 112 | 0.652625 | 1,104 | 8,095 | 4.444746 | 0.128623 | 0.117383 | 0.254331 | 0.293458 | 0.648258 | 0.639495 | 0.314449 | 0.225189 | 0.205828 | 0.167108 | 0 | 0.017813 | 0.195553 | 8,095 | 155 | 113 | 52.225806 | 0.735719 | 0.002594 | 0 | 0.042553 | 0 | 0 | 0.182607 | 0.065783 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0.035461 | 0.028369 | 0 | 0.134752 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c276131b5adb85398eba0cb67c7e33579e3497af | 2,376 | py | Python | src/models/SLEuth_model.py | NCBI-Codeathons/SLEuth | c74c05bbc07ce4c813ee46ab66cfb6487fdc6966 | [
"MIT"
] | 2 | 2019-11-07T22:24:49.000Z | 2019-11-09T02:42:59.000Z | src/models/SLEuth_model.py | NCBI-Codeathons/STRATIFICATION-OF-SLE-PATIENT-COHORT-FOR-PRECISION-MEDICINE | c74c05bbc07ce4c813ee46ab66cfb6487fdc6966 | [
"MIT"
] | null | null | null | src/models/SLEuth_model.py | NCBI-Codeathons/STRATIFICATION-OF-SLE-PATIENT-COHORT-FOR-PRECISION-MEDICINE | c74c05bbc07ce4c813ee46ab66cfb6487fdc6966 | [
"MIT"
] | 1 | 2020-06-06T18:47:21.000Z | 2020-06-06T18:47:21.000Z | import sklearn
from sklearn.cluster import KMeans
from src.features.feature_selection import PCA_Variants2Gene_FeatureSelection
class SLEuth(sklearn.base.TransformerMixin, sklearn.base.ClusterMixin):
def __init__(self, cluster_num, variants_genes_path="../../data/interim/variants_top56_genes.csv",
variance_threshold=0.9, init='random', n_init=10, max_iter=300,tol=1e-4,random_state=40):
"""
Run fit_transform() to compute top_k PCA components first. Run transform() if need to get projections from SNP data.
Then, run fit_predict() to run KMeans clustering on the PCA transformed data. To predict a SNP profile which
cluster they belong to, run predict()
:param cluster_num:
The number of clusters to form as well as the number of centroids to generate
:param variants_genes_path:
Path to the csv file that provides two column, ["Gene(s)", "Variant ID"] that the user would like to
:param variance_threshold:
e.g. 0.9 for 90% variance. The variance threshold to select the minimum number of PCA components such that a % of the variance remains.
:param init:
'random': choose k observations (rows) at random from data for the initial centroids.
:param n_init:
Number of time the k-means algorithm will be run with different centroid seeds
:param max_iter:
:param tol:
:param random_state:
"""
self.pca_variants_fs = PCA_Variants2Gene_FeatureSelection(variants_genes_path, variance_threshold)
self.km = KMeans(
n_clusters=cluster_num, init=init,
n_init=n_init, max_iter=max_iter,
tol=tol, random_state=random_state
)
def fit_transform(self, X, y=None, **fit_params):
"""
:param X: A Pandas DataFrame where row indices are patient samples and columns are SNP sites with
:return:
"""
return self.pca_variants_fs.fit_transform(X, y, **fit_params)
def transform(self, X, y=None):
return self.pca_variants_fs.transform(X, y)
def fit_predict(self, X, y=None):
X_transformed = self.transform(X)
return self.km.fit_predict(X_transformed, y)
def predict(self, X):
X_transformed = self.transform(X)
return self.km.predict(X_transformed) | 44.830189 | 147 | 0.676347 | 332 | 2,376 | 4.674699 | 0.388554 | 0.006443 | 0.032861 | 0.032861 | 0.103093 | 0.048969 | 0.048969 | 0.048969 | 0 | 0 | 0 | 0.010585 | 0.244529 | 2,376 | 53 | 148 | 44.830189 | 0.854039 | 0.431397 | 0 | 0.090909 | 0 | 0 | 0.041631 | 0.036534 | 0 | 0 | 0 | 0 | 0 | 1 | 0.227273 | false | 0 | 0.136364 | 0.045455 | 0.590909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c28e4edca7ae401126ff0a6fbb8cb56b375f7be5 | 195 | py | Python | Regular Expression/Introduction/Matching Whitespace % Non-whitespace Characters/matching_whitespace_and_non-whitespace_characters.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | 2 | 2020-05-28T07:15:00.000Z | 2020-07-21T08:34:06.000Z | Regular Expression/Introduction/Matching Whitespace % Non-whitespace Characters/matching_whitespace_and_non-whitespace_characters.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null | Regular Expression/Introduction/Matching Whitespace % Non-whitespace Characters/matching_whitespace_and_non-whitespace_characters.py | brianchiang-tw/HackerRank | 02a30a0033b881206fa15b8d6b4ef99b2dc420c8 | [
"MIT"
] | null | null | null |
# Method_#1
#Regex_Pattern = r"\S\S\s\S\S\s\S\S" # Do not delete 'r'.
# Method_#2
Regex_Pattern = r"(\S\S\s){2}(\S\S){1}"
import re
print(str(bool(re.search(Regex_Pattern, input()))).lower()) | 19.5 | 59 | 0.625641 | 40 | 195 | 2.925 | 0.45 | 0.17094 | 0.179487 | 0.17094 | 0.316239 | 0.316239 | 0.068376 | 0 | 0 | 0 | 0 | 0.023121 | 0.112821 | 195 | 10 | 59 | 19.5 | 0.653179 | 0.369231 | 0 | 0 | 0 | 0 | 0.172414 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
c28fad06e8a818ac6ddee1694bd9cf847cd0da24 | 205 | py | Python | Semester 5 (PIP)/assignment1/prog4.py | MartyMiniac/ITER-Assignment | a7b355f40cc52a337ad90bb8328e54c4a9534530 | [
"MIT"
] | 14 | 2020-11-11T08:48:58.000Z | 2022-02-26T03:59:05.000Z | Semester 5 (PIP)/assignment1/prog4.py | SKSTCODE42/ITER-Assignment | a7b355f40cc52a337ad90bb8328e54c4a9534530 | [
"MIT"
] | 4 | 2020-11-12T13:31:14.000Z | 2021-06-21T05:41:34.000Z | Semester 5 (PIP)/assignment1/prog4.py | SKSTCODE42/ITER-Assignment | a7b355f40cc52a337ad90bb8328e54c4a9534530 | [
"MIT"
] | 10 | 2020-11-07T15:09:20.000Z | 2022-02-26T03:56:50.000Z | regno='1941012661'
year=2019
# print('My Regd. No is %s and I have taken admission in B. Tech. In %d.' %(regno, year))
print('My Regd. No is', regno,'and I have taken admission in B. Tech. In', year,'.' ) | 41 | 89 | 0.658537 | 38 | 205 | 3.552632 | 0.5 | 0.103704 | 0.162963 | 0.192593 | 0.681481 | 0.459259 | 0.459259 | 0.459259 | 0.459259 | 0 | 0 | 0.082353 | 0.170732 | 205 | 5 | 90 | 41 | 0.711765 | 0.42439 | 0 | 0 | 0 | 0 | 0.564103 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c29405121608c5b0e9800d088104121ec6141017 | 7,242 | py | Python | src/python/weblyzard_api/client/jesaja_ng.py | PhilippKuntschik/weblyzard_api | 415df7d2c3e625e96636ad0ab91f3ba669db64ea | [
"Apache-2.0"
] | null | null | null | src/python/weblyzard_api/client/jesaja_ng.py | PhilippKuntschik/weblyzard_api | 415df7d2c3e625e96636ad0ab91f3ba669db64ea | [
"Apache-2.0"
] | null | null | null | src/python/weblyzard_api/client/jesaja_ng.py | PhilippKuntschik/weblyzard_api | 415df7d2c3e625e96636ad0ab91f3ba669db64ea | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
.. codeauthor: Albert Weichselbraun <albert.weichselbraun@htwchur.ch>
.. codeauthor:: Heinz-Peter Lang <lang@weblyzard.com>
'''
from __future__ import print_function
from __future__ import unicode_literals
from eWRT.ws.rest import MultiRESTClient
from weblyzard_api.client import (
WEBLYZARD_API_URL, WEBLYZARD_API_USER, WEBLYZARD_API_PASS)
class JesajaNg(MultiRESTClient):
'''
Provides access to the Jesaja keyword service which extracts
associations (i.e. keywords) from text documents.
'''
URL_PATH = 'rest'
def __init__(self, url=WEBLYZARD_API_URL, usr=WEBLYZARD_API_USER,
pwd=WEBLYZARD_API_PASS, default_timeout=None,
use_random_server=True):
'''
:param url: URL of the jeremia web service
:param usr: optional user name
:param pwd: optional password
'''
MultiRESTClient.__init__(self, service_urls=url, user=usr, password=pwd,
default_timeout=default_timeout,
use_random_server=use_random_server)
def set_keyword_profile(self, profile_name, keyword_calculation_profile):
''' Add a keyword profile to the server
:param profile_name: the name of the keyword profile
:param keyword_calculation_profile: the full keyword calculation \
profile (see below).
.. note:: Example keyword calculation profile
::
{
'valid_pos_tags' : ['NN', 'P', 'ADJ'],
'required_pos_tags' : [],
'corpus_name' : reference_corpus_name,
'min_phrase_significance' : 2.0,
'num_keywords' : 5,
'skip_underrepresented_keywords' : True,
'keyword_algorithm' : 'com.weblyzard.backend.jesaja.algorithm.keywords.YatesKeywordSignificanceAlgorithm',
'min_token_count' : 5,
'min_ngram_length' : 1,
'max_ngram_length' : 3,
'stoplists' : [],
'groundAnnotations' : False,
}
.. note:: ``Available keyword_algorithms``
* ``com.weblyzard.backend.jesaja.algorithm.keywords.YatesKeywordSignificanceAlgorithm``
* ``com.weblyzard.backend.jesaja.algorithm.keywords.LogLikelihoodKeywordSignificanceAlgorithm``
'''
return self.request('set_keyword_profile/{}'.format(profile_name),
keyword_calculation_profile)
def add_csv(self, matview_id, keyword_count_map):
'''
Adds reference documents for Jesaja.
:param matview_id:
matview_id for which the documents are relevant
:param keyword_count_map:
a map of keywords and the corresponding counts
{'the': 222, 'a': 200, ...}
'''
if matview_id is None:
raise ValueError('Please specify the matview for which the documents are designated.')
return self.request('add_csv/{}'.format(matview_id), keyword_count_map)
def add_documents(self, matview_id, xml_documents):
'''
Adds reference documents for Jesaja.
:param matview_id:
matview_id for which the documents are relevant
:param xml_documents:
a list of weblyzard_xml documents [ xml_content, ... ]
'''
if matview_id is None:
raise ValueError('Please specify the matview for which the documents are designated.')
return self.request('add_documents/{}'.format(matview_id), xml_documents)
def get_keyword_annotations(self, matview_id, xml_documents):
'''
:param matview_id: the matview id for which the keywords are computed
:param xml_documents:
a list of weblyzard_xml documents [ xml_content, ... ]
'''
if not self.has_matview(matview_id):
raise Exception(
'Cannot compute keywords - unknown matview {}'.format(matview_id))
return self.request('get_nek_annotations/{}'.format(matview_id), xml_documents)
def get_keywords(self, matview_id, xml_documents):
'''
:param matview_id: the matview id for which the keywords are computed
:param xml_documents:
a list of weblyzard_xml documents [ xml_content, ... ]
'''
if not self.has_matview(matview_id):
raise Exception(
'Cannot compute keywords - unknown matview {}'.format(matview_id))
return self.request('get_keywords/{}'.format(matview_id), xml_documents)
def has_matview(self, matview_id):
return matview_id in self.list_matviews()
def has_corpus(self, matview_id):
available_completed_shards = self.request(
'list_shards/complete/{}'.format(matview_id))
return len(available_completed_shards[matview_id]) > 0
def remove_matview_profile(self, matview_id):
if not self.has_matview(matview_id):
print('No profile {} found'.format(matview_id))
return
return self.request('remove_profile/{}/{}'.format(matview_id, matview_id), return_plain=True)
def get_corpus_size(self, matview_id):
available_completed_shards = self.request(
'list_shards/complete/{}'.format(matview_id))
total = 0
for shard in available_completed_shards[matview_id]:
total = total + shard['wordCount']
return total
def list_profiles(self):
return self.request('list_profiles')
def list_matviews(self):
return self.request('list_matview_profiles')
def get_cache_stats(self):
return self.request('get_cache_stats', return_plain=True)
def get_cached_corpora(self):
return self.request('get_cached_corpora')
def set_stoplist(self, name, stoplist):
'''
:param name: name of the stopword list
:param stoplist: a list of stopwords for the keyword computation
'''
return self.request('set_stoplist/{}'.format(name), stoplist)
def set_matview_profile(self, matview_id, profile_name):
'''
Determines which profile to use for the given matview
'''
return self.request('set_matview_profile/{}/{}'.format(matview_id,
profile_name))
def list_stoplists(self):
'''
:returns: a list of all available stopword lists.
'''
return self.request('list_stoplists')
def rotate_shard(self, matview_id=None):
'''
:param matview_id: an optional matview_id of the shard to be rotated
.. note::
All shards are automatically rotated every 24 hourse. Call this
method to speed up the availablilty of a shart
'''
if not matview_id:
return self.request('rotate_shard')
else:
return self.request('rotate_shard/{}'.format(matview_id))
| 38.727273 | 140 | 0.609362 | 788 | 7,242 | 5.352792 | 0.244924 | 0.089616 | 0.060455 | 0.029872 | 0.44808 | 0.336652 | 0.319583 | 0.261735 | 0.261735 | 0.261735 | 0 | 0.003358 | 0.300884 | 7,242 | 186 | 141 | 38.935484 | 0.829745 | 0.375449 | 0 | 0.208333 | 0 | 0 | 0.139529 | 0.034439 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.041667 | 0.055556 | 0.069444 | 0.583333 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c29433ef9d2c9ff9b5cb2a9ea24e62b20f20373a | 395 | py | Python | app/config/__init__.py | mstroud/pykj | 2931892b19a697b20c9522dd017e135a1ad396b8 | [
"MIT"
] | null | null | null | app/config/__init__.py | mstroud/pykj | 2931892b19a697b20c9522dd017e135a1ad396b8 | [
"MIT"
] | null | null | null | app/config/__init__.py | mstroud/pykj | 2931892b19a697b20c9522dd017e135a1ad396b8 | [
"MIT"
] | null | null | null | class Config(object):
DEBUG = True
DEVELOPMENT = True
SECRET_KEY = 'do-i-really-need-this'
SQLALCHEMY_DATABASE_URI = 'sqlite:///testing.db'
SQLALCHEMY_TRACK_MODIFICATIONS = False
KARAOKE_MEDIA_ROOT = "/path/to/app/static/media"
class ProductionConfig(Config):
DEVELOPMENT = False
DEBUG = False
SQLALCHEMY_DATABASE_URI = 'sqlite:///production.db'
| 30.384615 | 56 | 0.691139 | 45 | 395 | 5.866667 | 0.688889 | 0.136364 | 0.159091 | 0.204545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.202532 | 395 | 12 | 57 | 32.916667 | 0.838095 | 0 | 0 | 0 | 0 | 0 | 0.232376 | 0.180157 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
c298ed848bd524b876312d8bab6fc24cd9b74131 | 28,847 | py | Python | python-obj-system.py | AlexPl292/python-obj-system | 7d0e743e4785989f54094ea0bac05e3681c308c2 | [
"MIT"
] | 54 | 2021-12-06T10:44:17.000Z | 2022-02-16T23:35:16.000Z | python-obj-system.py | AlexPl292/python-obj-system | 7d0e743e4785989f54094ea0bac05e3681c308c2 | [
"MIT"
] | 1 | 2022-01-22T07:09:16.000Z | 2022-01-22T07:09:16.000Z | python-obj-system.py | AlexPl292/python-obj-system | 7d0e743e4785989f54094ea0bac05e3681c308c2 | [
"MIT"
] | 4 | 2021-12-22T08:07:56.000Z | 2022-03-10T01:51:40.000Z | #!/usr/bin/env python3
from mdpyformat import *
import pprintex
header_md("""Python object primer for Python3 / meta classes""" )
header_md("""Introduction""", nesting = 2)
print_md("""
Python is good at creating the illusion of being a simple programming language. Sometimes this illusion fails, like when you have to deal with the import/module system [my attempts to get it](https://github.com/MoserMichael/pythonimportplayground). Another area of complexity is the object system, last week I tried to understand [python enums](https://docs.python.org/3/library/enum.html), it turns that they are built on top of [meta classes](https://github.com/python/cpython/blob/2c56c97f015a7ea81719615ddcf3c745fba5b4f3/Lib/enum.py#L511), So now I have come to realize, that I really don't know much about python and its object system. The purpose of this text is to figure out, how the python object system ticks.
""")
header_md("""The Python object system""", nesting=2)
header_md("""How objects are represented""", nesting=3)
print_md("""
Lets look at a simple python class Foo with a single base class Base, and see how objects are created and represented in memory
""")
eval_and_quote("""
# The base class. All Python3 classes have the base class of type object.
# The long form is therefore
# class Base(object):
# However Pylint will tell you, that this long form is redundant
class Base:
# Class variables are shared between all instances of the class Base, and declared like this:
base_class_var = "Base"
# The object constructor/init method, Note the first 'self' argument, which refers to the object instance.
def __init__(self):
print("calling Base.__init__")
# Object variables are specific to a given instance of Base
# Each object has a builtin hash member: __dict__ this one lists all object members (including those added by the base class __init__ method)
self.obj_var_base = 10
# An object method - needs to access the object instance, which is passed as first 'self' argument.
def show_base(self):
print_md("obj_var_base: ", self.obj_var_base)
# A class method/static method is called without an object instance.
@staticmethod
def make_base():
return Base()
# class Foo with a base class Base
class Foo(Base):
# Class variables are shared between all instances of the class Foo, and declared like this:
class_var = 42
class_var2 = 43
# The object constructor/init method, Note the first 'self' argument, which is the object instance.
def __init__(self):
# When not calling the base class __init__ method: the base class object variables are not added to the object !!!
# The base class __init__ adds the 'obj_var_base' member to the __dict__ member of this object instance.
# By convention: you first init the base classes, before initialising the derived class.
super().__init__()
print("calling Foo.__init__")
# Object variables are specific to a given instance of Foo
# Each object has a builtin hash member: __dict__ this one lists all object members (including those added by the base class __init__ method)
# Define object variable: obj_var_a
self.obj_var_a=42
# Define object variable: obj_var_b
self.obj_var_b="name"
# An object method - needs to access the object instance, which is passed as first 'self' argument.
def show_derived(self):
print_md("obj_var_a:", self.obj_var_a, "obj_var_b:", self.obj_var_b)
# A class method/static method is called without an object instance.
@staticmethod
def make_foo():
return Foo()
# Make a new object instance of type Foo class.
foo_obj=Foo()
""")
print_md("The memory address of object foo_obj is returned by the [id built-in](https://docs.python.org/3/library/functions.html#id)")
eval_and_quote('print("id(foo_obj) : ", id(foo_obj))')
print_md("If two variables have the same object id value, then they both refer to the very same object/instance!")
print_md("""
Each user defined object has a __dict__ attribute, this is a dictionary that lists all the object instance variables.
This also includes instance members that were added by the __init__ method of the base class !!
""")
eval_and_quote("""print("foo_obj.__dict__ : ", foo_obj.__dict__)""")
print_md("""
So you see that the following is exactly the same thing:
""")
eval_and_quote("""assert id(foo_obj.obj_var_a) == id( foo_obj.__dict__['obj_var_a'] ) """)
print_md("""
Wait, but where does the __dict__ attribute come from?
The [built-in getattr](https://docs.python.org/3/library/functions.html#getattr) function can return this built-in __dict__ attribute!
Interesting: the python notation object.member_name can mean different things:
1) for built-in attributes it means a call to getattr
2) for object instances (assigned in the __init__ method of the class) it means a call to retrieve the __dict__ attribute, and then a lookup of the variable name in that dictionary.
""")
print_md( """foo_obj.__dict__ and getattr(foo_obj,'__dict__',None) is the same thing! """)
eval_and_quote("""assert id(foo_obj.__dict__) == id( getattr(foo_obj,'__dict__',None) )""")
print_md("""
The getattr builtin function has a good part, its return value can be checked for None. This can be used, in order to check if the argument is an object with a __dict__ attribute.
""")
eval_and_quote("""base_obj = object()""")
print_md("An object of built-in type ", type(base_obj), " doesn't have a __dict__ member")
eval_and_quote("""assert getattr(base_obj, '__dict__', None) is None""")
eval_and_quote("""int_obj = 42""")
print_md("An object of built-in type ", type(int_obj), " doesn't have a __dict__ member")
eval_and_quote("""assert getattr(int_obj, '__dict__', None) is None""")
print_md("""
The [dir builtin](https://docs.python.org/3/library/functions.html#dir) function does different things, depending on the argument,
for regular objects it returns a "list that contains the object’s attributes’ names, the names of its class’s attributes, and recursively of the attributes of its class’s base classes.",
all this is sorted alphabetically.
""")
eval_and_quote("""print("dir(foo_obj) : ", dir(foo_obj))""")
# doesn't have __slots__, how odd.
#print_md("foo_obj.__slots__ : ", foo_obj.__slots__)
header_md("""How classes are represented""", nesting=3)
print_md("""The built-in function [type](https://docs.python.org/3/library/functions.html#type), is returning the class of an object, when applied to a variable (to be more exact: type is a built-in class, and not a built-in function, more on that later)""")
eval_and_quote("""
# Make a new object instance of type Foo class.
foo_obj=Foo()
print("class of object foo_obj - type(foo_obj): ", type(foo_obj))
# That's the same as showing the __class__ member of the variable (in Python3)
print("foo_obj.__class__ :", foo_obj.__class__)
""")
print_md("""
The class is an object, it's purpose is to hold the static data that is shared between all object instances.
Each object has a built-in __class__ attribute, that refers to this class object.
Note that the name of the class includes the module name, __main__ if the class is defined in the file given as argument to the python interpreter.
Also note that the type built-in of type(foo_obj) is really the same as: str(foo_obj.__class__) (for Python3)
""")
print_md("""
Again, the built in attribute __class__ can also be accessed with the getattr built-in function.
""")
eval_and_quote( """
print("foo_obj.__class__ and getattr(foo_obj,'__class__',None) is the same thing!")
assert id(foo_obj.__class__) == id( getattr(foo_obj,'__class__',None) )
""")
print_md("""The __name__ and __qualname__ built-in attributes return the name of the class, without the module name """)
eval_and_quote( """
print("foo_boj.__class__.__name__ : ", foo_obj.__class__.__name__)
print("foo_boj.__class__.__qualname__ : ", foo_obj.__class__.__qualname__)""" )
print_md("""
To get the immediate base class list as declared in that particular class.
""")
eval_and_quote( """print("foo_obj.__class__.__bases__ :", foo_obj.__class__.__bases__)""")
print_md("""
The __mro__ member is a list of types that stands for 'method resoultion order', when searching for an instance method, this list is searched in order to resolve the method name.
The Python runtime creates this lists by enumerating all of its base classes recursively, in depth first traversal order. For each class it follows the base classes, from the left ot the right
This list is used to resolve a member function 'member_function' of an object, when you call it via: obj_ref.member_function()
""")
eval_and_quote( """print("foo_obj.__class__.__mro__ :", foo_obj.__class__.__mro__) """ )
print_md("Computing the method resolution order by hand")
eval_and_quote("""
# function to a class hierarchy, in depth first search order (like what you get in MRO - method resolution order)
def show_type_hierarchy(type_class):
def show_type_hierarchy_imp(type_class, nesting):
if len(type_class.__bases__) == 0:
return
prefix = "\t" * nesting
print( prefix + "type:", type_class.__name__ , "base types:", ",".join( map( lambda ty : ty.__name__, type_class.__bases__) ) )
#print( prefix + "str(", type_class.__name__ , ").__dict__ : ", type_class.__dict__ )
for base in type_class.__bases__:
show_type_hierarchy_imp(base, nesting+1)
if not inspect.isclass(type_class):
print("object ", str(type_class), " is not class")
return
print("show type hierarchy of class:")
show_type_hierarchy_imp(type_class, 0)
class LevelOneFirst:
pass
class LevelOneSecond:
pass
class LevelOneThird:
pass
class LevelTwoFirst(LevelOneFirst, LevelOneSecond):
pass
class LevelThree(LevelTwoFirst,LevelOneThird):
pass
show_type_hierarchy(LevelThree)
print("LevelThree.__mro__:", LevelThree.__mro__)
""")
eval_and_quote("""
print("*** mro in detail:")
for cls in foo_obj.__class__.__mro__:
print_md("\tclass-in-mro: ", str(cls), "id:", id(cls), "cls.__dict__: ", cls.__dict__)
print("*** eof mro in detail")
""")
print_md("""
The class object has a __dict__ too - here you will see all the class variables (for Foo these are class_var and class_var2) and class methods (defined with @staticmethod), but also the object methods (with the self parameter)
""")
eval_and_quote( """print("foo_obj.__class__.__dict__ : ", foo_obj.__class__.__dict__)""" )
# doen't have slots, how odd.
#print_md("foo_obj.__class__.__slots__ : ", foo_obj.__class__.__slots__)
print_md("""
Again, the [dir](https://docs.python.org/3/library/functions.html#dir) built-in function does different things, depending on the argument type
for a class object it returns a "list that contains the names of its attributes, and recursively of the attributes of its bases"
That means it displays both the names of static variables, and the names of the static functions, for the class and it's base classes.
Note that the names are sorted.
""")
eval_and_quote("""print("dir(foo_obj.__class__) : ", dir( foo_obj.__class__ ) )""")
print_md("""
The class object derives from built-in class type, you can check if an object is a class by checking if it is an instance of class 'type'!
""")
# check that foo_obj.__class__ is a type - it is derived from built-in class type
eval_and_quote("""
assert isinstance(foo_obj.__class__, type)
# same thing as
assert inspect.isclass(foo_obj.__class__)
# an object is not derived from class type.
assert not isinstance(foo_obj, type)
# same thng as
assert not inspect.isclass(foo_obj)
""")
print_md( """
Now there is much more: there is the inspect module that returns it all, a kind of rosetta stone of the python object model.
inspect.getmembers returns everything! You can see the source of inspect.getmembers [here](https://github.com/python/cpython/blob/3.10/Lib/inspect.py)
""")
eval_and_quote("""print("inspect.getmembers(foo_obj): ", inspect.getmembers(foo_obj))""")
print_md("""
Attention!
the type of the object is the class of the object (remember: the classes is an object, where the __dict__ member holds the class variables)
""")
eval_and_quote("""
print("type(foo_obj) : ", type(foo_obj))
# same thing in python3
print("str(foo_obj.__class__) : ", str(foo_obj.__class__) )""")
print_md("""
Let's look at both the type and identity of all these objects:
""")
eval_and_quote("""print("id(foo_obj) : ", id(foo_obj), " str(foo_obj) : ", str(foo_obj))""")
print_md("""
The following expressions refer to the same thing: the type of the object foo_obj, also known as the class of foo_obj
""")
eval_and_quote("""
print("type(foo_obj) :", type(foo_obj), " id(type(foo_obj)) :", id(type(foo_obj)), " type(foo_obj).__name__ : ", type(foo_obj).__name__ )
print("str(foo_obj.__class__) :", str(foo_obj.__class__), " id(foo_obj.__class__) :", id(foo_obj.__class__), "foo_obj.__class__.__name__ : ", foo_obj.__class__.__name__)
print("str(Foo) :", str(Foo), " id(Foo) :", id( Foo ), "Foo.__name__ :", Foo.__name__)
assert id(Foo) == id(type(foo_obj))
assert id(type(foo_obj)) == id(foo_obj.__class__)
""")
print_md("""
The Foo class members
""")
eval_and_quote("""
print("foo_obj.__class__.__dict__ :", foo_obj.__class__.__dict__)
print("Foo.__dict__ :", Foo.__dict__)
# everything accessible form the class
print("dir(foo_obj.__class__) :", dir( foo_obj.__class__))
""")
print_md("""
The following expressions refer to the same thing: the meta-type of the foo_obj.
""")
eval_and_quote("""
print("type(foo_obj.__class__.__class__):", type(foo_obj.__class__.__class__), " id( foo_obj.__class__.__class__ ) :" , id( foo_obj.__class__.__class__ ) , "foo_obj.__class__.__class__.__name__ : ", foo_obj.__class__.__class__.__name__ )
print("type(Foo) :", type(Foo), " id(type(Foo)) : ", id( type( Foo ) ), " Foo.__class__.__name__ :", Foo.__class__.__name__)
print("type(Foo.__class__) :", type(Foo.__class__), " id(type(Foo.__class__)) : ", id( type( Foo.__class__ ) ), " Foo.__class__.__name__ :", Foo.__class__.__name__)
print("type(Foo.__class__.__class__) :", type(Foo.__class__.__class__), " id(type(Foo.__class__.__class__)) :", id( type( Foo.__class__.__class__ ) ) )
assert type(Foo) == type(Foo.__class__)
assert type(Foo.__class__) == type(Foo.__class__.__class__)
""")
print_md("""
The type of the type is the metaclass - the metaclass constructs the Class object! (the class of an object is also an object!)
""")
eval_and_quote("""
print("type( type( foo_obj ) ) :", type( type( foo_obj ) ) )
print("str( foo_obj.__class__.__class__ ) :", str(foo_obj.__class__.__class__) )
""")
# result:
eval_and_quote("""
print(" metaclass members: foo_obj.__class__.__class__.__dict__ : ", foo_obj.__class__.__class__.__dict__)
print(" everything accessible form metaclass: dir( foo_obj.__class__.__class__ ) : ", dir( foo_obj.__class__.__class__) )
""")
print_md("""
Wow, any class can tell all of its derived classes! I wonder how that works...
""")
eval_and_quote("""print("Base.__subclasses__() : ", Base.__subclasses__())""")
header_md("""Object creation""", nesting=3)
print_md("""
Objects recap:
The object instance holds the __dict__ attribute of the object instance, it's value is a dictionary that holds the object instance members.
The class is an object that is shared between all object instances, and it holds the static data (class variables, class methods)
What happens upon: foo = Foo() ?
Take the type of Foo - the metaclass of Foo, the metaclass both knows how to create an instance of the class Foo, and the object instances.
A metaclass is derived from built-in class 'type', The 'type' constructor with three argument creates a new class object. [see reference](https://docs.python.org/3/library/functions.html#type)
class_obj = Foo
The metaclass is used as a 'callable' - it has a __call__ method, and can therefore be called as if it were a function (see more about callables in the course on [decorators](https://github.com/MoserMichael/python-obj-system/blob/master/decorator.md))
Now this __call__ method creates and initialises the object instance.
The implementation of __call__ now does two steps:
- Class creation is done in the [__new__](https://docs.python.org/3/reference/datamodel.html#object.__new__) method of the metaclass. The __new__ method creates the Foo class, it is called exactly once, upon class declaration (you will see this shortly, in the section on custom meta classes)
- It uses the Foo class and calls its to create and initialise the object (call the __new__ method of the Foo class, in order to create an instance of Foo, then calls the __init__ instance method of the Foo class, on order to initialise it). This all done by the __call__ method of the metaclass.
instance_of_foo = meta_class_obj.__call__()
(actually that was a bit of a simplification...
)
""")
eval_and_quote("""
# same as: foo_obj = Foo()
foo_obj = Foo.__call__()
print("foo_obj : ", foo_obj)
print("foo_obj.__dict__ : ", foo_obj.__dict__)
""")
print_md("This is the same as:")
eval_and_quote("""
class_obj = Foo
instance_of_foo = class_obj()
print("instance_of_foo : ", instance_of_foo)
print("instance_of_foo.__dict__ : ", instance_of_foo.__dict__)
""")
header_md("""Custom metaclasses""", nesting = 2)
header_md("""Metaclasses for implementing singleton objects""", nesting = 3)
print_md("""
An object can define a different way of creating itself, it can define a custom metaclass, which will do exactly the same object creation steps described in the last section.
Let's examine a custom metaclass for creating singleton objects.
""")
eval_and_quote("""
# metaclass are always derived from the type class.
# the type class has functions to create class objects
# the type class has also a default implementation of the __call__ method, for creating object instances.
class Singleton_metaclass(type):
# invoked to create the class object instance (for holding static data)
# this function is called exactly once, in order to create the class instance!
def __new__(meta_class, name, bases, cls_dict, **kwargs):
print("Singleton_metaclass: __new__ meta_class:", meta_class, "name:", name, "bases:", bases, "cls_dict:", cls_dict, f'kwargs: {kwargs}')
class_instance = super().__new__(meta_class, name, bases, cls_dict)
print("Singleton_metaclass: __new__ return value: ", class_instance, "type(class_instance):", type(class_instance))
# the class class variable __singleton_instance__ will hold a reference to the one an only object instance of this class.
class_instance.__singleton_instance__ = None
return class_instance
def __call__(cls, *args, **kwargs):
# we get here to create an object instance. the class object has already been created.
print("Singleton_metaclass: __call__ args:", *args, f'kwargs: {kwargs}')
# check if the singleton has already been created.
if cls.__singleton_instance__ is None:
# create the one an only instance object.
instance = cls.__new__(cls)
# initialise the one and only instance object
instance.__init__(*args, **kwargs)
# store the singleton instance object in the class variable __singleton_instance__
cls.__singleton_instance__ = instance
# return the singleton instance
return cls.__singleton_instance__
import math
# the metaclass specifier tells python to use the Singleton_metaclass, for the creation of an instance of type SquareRootOfTwo
class SquareRootOfTwo(metaclass=Singleton_metaclass):
# the __init__ method is called exactly once, when the first instance of the singleton is created.
# the square root of two is computed exactly once.
def __init__(self):
self.value = math.sqrt(2)
print("SquareRootOfTwo.__init__ self:", self)
print("creating the objects instances...")
sqrt_root_two_a = SquareRootOfTwo()
print("sqrt_two_a id(sqrt_root_two_a):", id(sqrt_root_two_a), "type(sqrt_root_two_a):", type(sqrt_root_two_a), "sqrt_root_two_a.value:", sqrt_root_two_a.value)
sqrt_root_two_b = SquareRootOfTwo()
print("sqrt_two_b id(sqrt_root_two_b)", id(sqrt_root_two_b), "type(sqrt_root_two_b):", type(sqrt_root_two_b), "sqrt_root_two_b.value:", sqrt_root_two_b.value)
# all singleton objects of the same class are referring to the same object
assert id(sqrt_root_two_a) == id(sqrt_root_two_b)
""")
header_md("""Passing arguments to metaclasses""", nesting = 3)
print_md(""""
Lets extend the previous singleton creating metaclass, so that it can pass parameters to the __init__ method of the object, these parameters are defined together with the metaclass specifier.
""")
eval_and_quote("""
# metaclass are always derived from the type class.
# The type class has functions to create class objects
# The type class has also a default implementation of the __call__ method, for creating object instances.
class Singleton_metaclass_with_args(type):
# invoked to create the class object instance (for holding static data)
# this function is called exactly once, in order to create the class instance!
def __new__(meta_class, name, bases, cls_dict, **kwargs):
print("Singleton_metaclass_with_args: __new__ meta_class:", meta_class, "name:", name, "bases:", bases, "cls_dict:", cls_dict, f'kwargs: {kwargs}')
class_instance = super().__new__(meta_class, name, bases, cls_dict)
print("Singleton_metaclass_with_args: __new__ return value: ", class_instance, "type(class_instance):", type(class_instance))
# the class class variable __singleton_instance__ will hold a reference to the one an only object instance of this class.
class_instance.__singleton_instance__ = None
# the keywords that have been specified, are passed into the class creation method __new__.
# save them as a class variable, so as to pass them to the object constructor!
class_instance.__kwargs__ = kwargs
return class_instance
def __call__(cls, *args, **kwargs):
# we get here to create an object instance. the class object has already been created.
print("Singleton_metaclass_with_args: __call__ args:", *args, f'kwargs: {kwargs}')
# check if the singleton has already been created.
if cls.__singleton_instance__ is None:
# create the one an only instance object.
instance = cls.__new__(cls)
# initialise the one and only instance object
# pass it the keyword parameters specified for the class!
instance.__init__(*args, **cls.__kwargs__)
# store the singleton instance object in the class variable __singleton_instance__
cls.__singleton_instance__ = instance
# return the singleton instance
return cls.__singleton_instance__
import math
class AnySquareRoot:
def __init__(self, arg_val):
self.value = math.sqrt(arg_val)
# the metaclass specifier tells python to use the Singleton_metaclass, for the creation of an instance of type SquareRootOfTwo
class SquareRootOfTwo(AnySquareRoot, metaclass=Singleton_metaclass_with_args, arg_num=2):
# the init method is called with arg_num specified in the class definition (value of 2)
def __init__(self, arg_num):
super().__init__(arg_num)
class SquareRootOfThree(AnySquareRoot, metaclass=Singleton_metaclass_with_args, arg_num=3):
# the init method is called with arg_num specified in the class definition (value of 3)
def __init__(self, arg_num):
super().__init__(arg_num)
print("creating the objects instances...")
sqrt_root_two_a = SquareRootOfTwo()
print("sqrt_two_a id(sqrt_root_two_a):", id(sqrt_root_two_a), "type(sqrt_root_two_a):", type(sqrt_root_two_a), "sqrt_root_two_a.value:", sqrt_root_two_a.value)
sqrt_root_two_b = SquareRootOfTwo()
print("sqrt_two_b id(sqrt_root_two_b)", id(sqrt_root_two_b), "type(sqrt_root_two_b):", type(sqrt_root_two_b), "sqrt_root_two_b.value:", sqrt_root_two_b.value)
# all singleton objects of the same class are referring to the same object
assert id(sqrt_root_two_a) == id(sqrt_root_two_b)
sqrt_root_three_a = SquareRootOfThree()
print("sqrt_three_a id(sqrt_root_three_a):", id(sqrt_root_three_a), "type(sqrt_root_three_a):", type(sqrt_root_three_a), "sqrt_root_three_a.value:", sqrt_root_three_a.value)
sqrt_root_three_b = SquareRootOfThree()
print("sqrt_three_b id(sqrt_root_three_b)", id(sqrt_root_three_b), "type(sqrt_root_three_b):", type(sqrt_root_three_b), "sqrt_root_three_b.value:", sqrt_root_three_b.value)
# all singleton objects of the same class are referring to the same object
assert id(sqrt_root_three_a) == id(sqrt_root_three_b)
""")
header_md("""Metaclasses in the Python3 standard library""", nesting=2)
print_md("""
This section lists examples of meta-classes in the python standard library. Looking at the standard library of a language is often quite useful, when learning about the intricacies of a programming language.
""")
header_md("""ABCMeta class""", nesting=3)
print_md("""The purpose of this metaclass is to define abstract base classes (also known as ABC's), as defined in [PEP 3119](https://www.python.org/dev/peps/pep-3119/), the documentation for the metaclass [ABCMeta class](https://docs.python.org/3/library/abc.html#abc.ABCMeta).
A python metaclass imposes a different behavior for builtin function [isinstance](https://docs.python.org/3/library/functions.html#isinstance) and [issubclass](https://docs.python.org/3/library/functions.html#issubclass) Only classes that are [registered](https://docs.python.org/3/library/abc.html#abc.ABCMeta.register) with the metaclass, are reported as being subclasses of the given metaclass. The referenced PEP explains, why this is needed, i didn't quite understand the explanation. Would be helpful if the reader can clarify this issue.
""")
header_md("""Enum classes""", nesting=3)
print_md("""Python has support for [enum classes](https://docs.python.org/3/library/enum.html). An enum class lists a set of integer class variables, these variables can then be accessed both by their name, and by their integer value.
An example usage: Note that the class doesn't have a constructor, everything is being taken care of by the baseclass [enum.Enum](https://docs.python.org/3/library/enum.html#enum.Enum) which is making use of a meta-class in he definition of the Enum class [here](https://docs.python.org/3/library/enum.html), this metaclass [EnumMeta source code](https://github.com/python/cpython/blob/f6648e229edf07a1e4897244d7d34989dd9ea647/Lib/enum.py#L161) then creates a behind the scene dictionary, that maps the integer values to their constant names.
The advantage is, that you get an exception, when accessing an undefined constant, or name. There are also more things there, please refer to the linked [documentation](https://docs.python.org/3/library/enum.html)
""")
eval_and_quote("""
import enum
class Rainbow(enum.Enum):
RED=1
ORANGE=2
YELLOW=3
GREEN=4
BLUE=5
INDIGO=6
VIOLET=7
color=Rainbow.GREEN
print("type(Rainbow.GREEN):", type(Rainbow.GREEN))
print("The string rep Rainbow.Green.name:", Rainbow.GREEN.name, "type(Rainbow.GREEN.name):", type(Rainbow.GREEN.name))
print("The integer rep Rainbow.GREEN.value: ", Rainbow.GREEN.value, "type(Rainbow.GREEN.value):", type(Rainbow.GREEN.value))
print("Access by name: Rainbow['GREEN']:", Rainbow['GREEN'])
print("Access by value: Rainbow(4):", Rainbow(4))
# which is the same thing
assert id(Rainbow['GREEN']) == id(Rainbow(4))
""")
header_md("""Conclusion""", nesting=2)
print_md("""
Python meta-classes and decorators are very similar in their capabilities.
Both are tools for [metaprogramming](https://en.wikipedia.org/wiki/Metaprogramming), tools for modifying the program text, and treating and modifying code, as if it were data.
I would argue, that decorators are most often the easiest way of achieving the same goal.
However some things, like hooking the classification of classes and objects (implementing class methods [__instancecheck__ and __subclasscheck__](https://docs.python.org/3/reference/datamodel.html#customizing-instance-and-subclass-checks), can only be done with meta-classes.
I hope, that this course has given you a better understanding, of what is happening under the hood, which would be a good thing.
""")
print_md("*** eof tutorial ***")
| 43.707576 | 720 | 0.733456 | 4,388 | 28,847 | 4.488605 | 0.121696 | 0.029854 | 0.026807 | 0.016399 | 0.462074 | 0.409271 | 0.385561 | 0.35134 | 0.309454 | 0.270309 | 0 | 0.00563 | 0.162582 | 28,847 | 659 | 721 | 43.7739 | 0.809703 | 0.010122 | 0 | 0.398169 | 0 | 0.176201 | 0.930223 | 0.157734 | 0 | 0 | 0 | 0 | 0.038902 | 1 | 0 | true | 0.02746 | 0.01373 | 0 | 0.032037 | 0.244851 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c2a329ec349312cdbee649e9a5eb68a195101366 | 2,374 | py | Python | libs/units/tests/test_string_reps.py | mscansian/drpexe-uploader | de17baf9085155a046b8e5f68b0b3191a2ce1847 | [
"MIT"
] | null | null | null | libs/units/tests/test_string_reps.py | mscansian/drpexe-uploader | de17baf9085155a046b8e5f68b0b3191a2ce1847 | [
"MIT"
] | null | null | null | libs/units/tests/test_string_reps.py | mscansian/drpexe-uploader | de17baf9085155a046b8e5f68b0b3191a2ce1847 | [
"MIT"
] | null | null | null | """Tests for string representations of Quantities and Units,
i.e. __repr__ and __str__"""
from units import unit
from units.predefined import define_units
from units.quantity import Quantity
from units.registry import REGISTRY
def test_quantity_repr():
"""Developer-friendly string representation of quantities."""
assert repr(Quantity(1, unit('m'))) == "Quantity(1, LeafUnit('m', True))"
def test_quantity_str():
"""User-friendly string representation of quantities."""
assert str(Quantity(1, unit('m'))) == "1.00 m"
def test_leaf_unit_repr():
"""Developer-friendly string representation of leaf units."""
assert repr(unit('m')) == "LeafUnit('m', True)"
def test_leaf_unit_str():
"""User-friendly string representation of leaf units"""
assert str(unit('s')) == "s"
def test_composed_unit_repr():
"""Developer-friendly string representation of composed units."""
test_repr = (repr(unit('m') * unit('g') / unit('s')))
# non-deterministic
assert test_repr in ["ComposedUnit([LeafUnit('g', True), " +
"LeafUnit('m', True)], " +
"[LeafUnit('s', True)], 1)",
"ComposedUnit([LeafUnit('m', True), " +
"LeafUnit('g', True)], " +
"[LeafUnit('s', True)], 1)"]
def test_composed_unit_str():
"""User-friendly string representation of composed units."""
test_str = (str(unit('m') * unit('g') / unit('s')))
assert test_str in ["g * m / s", "m * g / s"] # non-deterministic.
def test_named_composed_unit_repr():
"""Developer-friendly string representation of named units."""
assert (repr(unit('km')) == "NamedComposedUnit('km', " +
"ComposedUnit([LeafUnit('m', True)], " +
"[], 1000), False)")
def test_named_composed_unit_str():
"""User-friendly string representation of named units."""
assert str(unit('mi')) == 'mi'
def setup_module(module):
# Disable warning about not using module.
# pylint: disable=W0613
"""Called by py.test before running any of the tests here."""
define_units()
def teardown_module(module):
# Disable warning about not using module.
# pylint: disable=W0613
"""Called after running all of the tests here."""
REGISTRY.clear()
| 36.523077 | 77 | 0.607835 | 283 | 2,374 | 4.957597 | 0.233216 | 0.039914 | 0.159658 | 0.171062 | 0.550249 | 0.478974 | 0.377762 | 0.246614 | 0.098361 | 0.098361 | 0 | 0.011074 | 0.239259 | 2,374 | 64 | 78 | 37.09375 | 0.765781 | 0.329402 | 0 | 0 | 0 | 0 | 0.217505 | 0.067929 | 0 | 0 | 0 | 0 | 0.242424 | 1 | 0.30303 | false | 0 | 0.121212 | 0 | 0.424242 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c2a90d53c2c37e84ce26a4aecf160f999dff6816 | 969 | py | Python | fishpi/vehicle/test_quick.py | FishPi/FishPi-POCV---Command---Control | 6df8e9db29c1b4769ddedb3a89a21fadae260709 | [
"BSD-2-Clause"
] | 18 | 2015-01-17T17:03:07.000Z | 2020-10-17T06:38:26.000Z | fishpi/vehicle/test_quick.py | FishPi/FishPi-POCV---Command---Control | 6df8e9db29c1b4769ddedb3a89a21fadae260709 | [
"BSD-2-Clause"
] | null | null | null | fishpi/vehicle/test_quick.py | FishPi/FishPi-POCV---Command---Control | 6df8e9db29c1b4769ddedb3a89a21fadae260709 | [
"BSD-2-Clause"
] | 9 | 2015-02-14T01:42:46.000Z | 2019-08-26T20:24:36.000Z | #!/usr/bin/python
#
# FishPi - An autonomous drop in the ocean
#
# Simple test of PWM motor and servo drive
#
import logging
import raspberrypi
from time import sleep
from drive_controller import AdafruitDriveController
if __name__ == "__main__":
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
console = logging.StreamHandler()
logger.addHandler(console)
print "testing drive controller..."
drive = AdafruitDriveController(debug=True, i2c_bus=raspberrypi.i2c_bus())
print "run ahead..."
drive.set_throttle(0.5)
sleep(0.5)
drive.set_throttle(1.0)
sleep(0.5)
drive.set_throttle(0.5)
sleep(2)
print "run 0%..."
drive.set_throttle(-1.0)
sleep(2)
drive.set_throttle(0.0)
sleep(2)
print "run reverse for 2 sec"
drive.set_throttle(-0.5)
sleep(0.5)
drive.set_throttle(-1.0)
sleep(2)
print "and back to neutral..."
drive.set_throttle(0.0)
sleep(5)
| 20.617021 | 78 | 0.668731 | 136 | 969 | 4.625 | 0.404412 | 0.101749 | 0.203498 | 0.135135 | 0.305246 | 0.305246 | 0.192369 | 0.152623 | 0.152623 | 0.152623 | 0 | 0.040523 | 0.210526 | 969 | 46 | 79 | 21.065217 | 0.781699 | 0.101135 | 0 | 0.419355 | 0 | 0 | 0.114583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.129032 | null | null | 0.16129 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
c2bf82786883e88ae221354f9ad562aa51a42fc8 | 23,127 | py | Python | my_version/craw_page_parse_2.py | xuerenlv/PaperWork | f096b57a80e8d771f080a02b925a22edbbee722a | [
"Apache-2.0"
] | 1 | 2015-10-15T12:26:07.000Z | 2015-10-15T12:26:07.000Z | my_version/craw_page_parse_2.py | xuerenlv/PaperWork | f096b57a80e8d771f080a02b925a22edbbee722a | [
"Apache-2.0"
] | null | null | null | my_version/craw_page_parse_2.py | xuerenlv/PaperWork | f096b57a80e8d771f080a02b925a22edbbee722a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Created on 2015-08-21
@author: xhj
'''
import requests
import StringIO
import gzip
import threading
from loginer import Loginer
import time
from my_log import WeiboSearchLog
import os
import traceback
from bs4 import BeautifulSoup
import re
from Queue import Queue
import datetime
from store_model import Single_weibo_store, UserInfo, UserInfo_store, \
UserInfo_loc, UserInfo_loc_store, Bie_Ming_store, \
UserInfo_for_regester_time_store, UserInfo_for_regester_time
from mongoengine.errors import NotUniqueError
import random
from craw_page_parse import Crawler_with_proxy, crawl_set_time_with_keyword
import sys
from urllib import quote, quote_plus
from mongoengine.queryset.visitor import Q
import json
reload(sys)
sys.setdefaultencoding('utf8')
# # 通过 nickname 抓取 uid
class crawl_uid_from_nickname(threading.Thread):
file_write_lock = threading.Lock()
def __init__(self, nicknam_list, thread_name='crawl_uid_from_nickname'):
threading.Thread.__init__(self)
self.nickname_list = nicknam_list
self.url_queue = Queue()
self.second_url_queue = Queue()
pass
# http://weibo.cn/search/user/?keyword=孔庆东&page=1
def init_url_queue(self):
for nickname in self.nickname_list:
url = "http://weibo.cn/search/user/?keyword=" + nickname + "&page=1"
self.url_queue.put(url)
pass
# 抓取并解析页面
def crawl(self, url, is_again=True):
loginer = Loginer()
cookie = loginer.get_cookie()
proxy = loginer.get_proxy()
craw_object = Crawler_with_proxy(url, cookie, proxy)
WeiboSearchLog().get_scheduler_logger().info(self.name + " start to crawl ! " + url)
uid_or_uname = ""
try:
page = craw_object.get_page()
uid_or_uname = page_parser_from_search_for_uid(page)
except:
print traceback.format_exc()
crawl_set_time_with_keyword.del_proxy_lock.acquire()
if proxy == loginer.get_proxy():
loginer.del_proxy()
WeiboSearchLog().get_scheduler_logger().warning(self.name + " proxy exception , change proxy !")
crawl_set_time_with_keyword.del_proxy_lock.release()
if is_again:
return self.crawl(url, is_again=False)
else:
self.second_url_queue.put(url)
return uid_or_uname
return uid_or_uname
def run(self):
self.init_url_queue()
while not self.url_queue.empty() or not self.second_url_queue.empty():
url = ""
if not self.url_queue.empty():
url = self.url_queue.get()
else:
url = self.second_url_queue.get()
uid_or_uname = self.crawl(url)
op_url = url[url.find("keyword="):]
nickname = op_url[op_url.find('=') + 1:op_url.find('&')]
crawl_uid_from_nickname.file_write_lock.acquire()
file_w = open("at_nickname_to_(uid_or_uname).txt", 'a')
file_w.write("[uid_or_uname:" + uid_or_uname + "][nickname:" + nickname + "]" + '\n')
file_w.flush()
file_w.close()
crawl_uid_from_nickname.file_write_lock.release()
pass
# # 通过 uid_or_uname 抓取 用户信息
class crawl_userinfo_from_uname_or_uid(threading.Thread):
def __init__(self, uid_or_uname_list, thread_name='crawl_userinfo_from_uname_or_uid'):
threading.Thread.__init__(self, name=thread_name)
self.uid_or_uname_list = uid_or_uname_list
self.url_queue = Queue()
self.second_url_queue = Queue()
pass
# http://weibo.cn/breakingnews?f=search_0
def init_url_queue(self):
global UserInfo_store
for uid_or_nickname in self.uid_or_uname_list:
if len(UserInfo_store.objects(Q(uid_or_uname=str(uid_or_nickname)) | Q(nickname=str(uid_or_nickname)))) != 0 or\
len(Bie_Ming_store.objects(Q(uid_or_uname=str(uid_or_nickname)) | Q(bie_ming=str(uid_or_nickname)))) != 0:
continue
self.url_queue.put(uid_or_nickname)
print "crawl size ::::::::: ", self.url_queue.qsize()
pass
# 抓取并解析页面
def crawl(self, uid_or_nickname, is_again=False):
# $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
url = ''
if len(UserInfo_store.objects(Q(uid_or_uname=str(uid_or_nickname)) | Q(nickname=str(uid_or_nickname)))) != 0 or\
len(Bie_Ming_store.objects(Q(uid_or_uname=str(uid_or_nickname)) | Q(bie_ming=str(uid_or_nickname)))) != 0:
WeiboSearchLog().get_scheduler_logger().info("already in the database : " + uid_or_nickname)
return "nothing"
quote_uid_or_nickname = ""
try:
quote_uid_or_nickname = quote_plus(str(uid_or_nickname.strip()))
except:
print traceback.format_exc()
print uid_or_nickname
# url = "http://weibo.cn/" + uid_or_nickname + "?f=search_0"
if quote_uid_or_nickname == uid_or_nickname:
url = "http://weibo.cn/" + uid_or_nickname + "?f=search_0"
else:
url = "http://weibo.cn/n/" + quote_uid_or_nickname
# $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
loginer = Loginer()
cookie = loginer.get_cookie()
proxy = loginer.get_proxy()
craw_object = Crawler_with_proxy(url, cookie, proxy)
WeiboSearchLog().get_scheduler_logger().info(self.name + " start to crawl ! " + url)
user_info = ""
try:
page = craw_object.get_page()
user_info = page_parser_from_search_for_UserInfo(page, url)
except:
if is_again:
return self.crawl(url, is_again=False)
else:
return user_info
return user_info
# uid_or_uname = StringField(unique=True)
# nickname = StringField()
# is_persion = StringField()
# check_or_not = StringField()
# fensi = StringField()
def store_userinfo_to_db(self, uid_or_nickname, user_info):
if type(user_info) is str:
WeiboSearchLog().get_scheduler_logger().info(self.name + " nothing ! :" + user_info)
return
unique_user_info = UserInfo_store(uid_or_uname=user_info.uid_or_uname, nickname=user_info.nickname, is_persion=user_info.is_persion, check_or_not=user_info.check_or_not, fensi=user_info.fensi,
sex=user_info.sex, location=user_info.location,
check_info=user_info.check_info,
weibo_all_nums=user_info.weibo_all_nums,
guan_zhu_nums=user_info.guan_zhu_nums
)
# Bie_Ming_store
if unique_user_info['uid_or_uname'] != uid_or_nickname:
bie_ming = Bie_Ming_store(uid_or_uname=unique_user_info['uid_or_uname'] , bie_ming=uid_or_nickname)
sign = 0
try:
unique_user_info.save()
except NotUniqueError:
sign = 1
WeiboSearchLog().get_scheduler_logger().info(self.name + " insert to database, not unique ! " + unique_user_info['uid_or_uname'] + " crawl: " + uid_or_nickname)
except:
sign = 2
WeiboSearchLog().get_scheduler_logger().info(self.name + " insert to database, something wrong !")
if sign == 0:
WeiboSearchLog().get_scheduler_logger().info(self.name + " insert to database, success success success success!")
try:
bie_ming.save()
except NotUniqueError:
WeiboSearchLog().get_scheduler_logger().info(self.name + " bieming already in database" + unique_user_info['uid_or_uname'] + " crawl: " + uid_or_nickname)
return
except:
WeiboSearchLog().get_scheduler_logger().info(self.name + " bieming insert to database, something wrong !")
return
pass
def run(self):
self.init_url_queue()
while not self.url_queue.empty() or not self.second_url_queue.empty():
uid_or_nickname = ""
if not self.url_queue.empty():
uid_or_nickname = self.url_queue.get()
else:
uid_or_nickname = self.second_url_queue.get()
user_info = self.crawl(uid_or_nickname)
# print user_info.to_string()
if not user_info == "nothing" :
self.store_userinfo_to_db(uid_or_nickname, user_info)
pass
# # 通过 uid_or_uname 抓取 用户信息 (位置信息)
# 这里主要是uid，可以抓取到生日信息
class crawl_userinfo_2_from_uid(threading.Thread):
def __init__(self, uid_or_uname_list, thread_name='crawl_userinfo_from_uname_or_uid'):
threading.Thread.__init__(self)
self.uid_or_uname_list = uid_or_uname_list
self.url_queue = Queue()
self.second_url_queue = Queue()
pass
# http://weibo.cn/1806760610/info
def init_url_queue(self):
for uid_or_nickname in self.uid_or_uname_list:
url = "http://weibo.cn/" + uid_or_nickname + "/info"
self.url_queue.put(url)
pass
# 抓取并解析页面
def crawl(self, url, is_again=True):
loginer = Loginer()
cookie = loginer.get_cookie()
proxy = loginer.get_proxy()
craw_object = Crawler_with_proxy(url, cookie, proxy)
WeiboSearchLog().get_scheduler_logger().info(self.name + " start to crawl ! " + url)
user_info_loc = ""
try:
page = craw_object.get_page()
user_info_loc = page_parser_from_search_for_UserInfoLoc(page, url)
except:
print traceback.format_exc()
crawl_set_time_with_keyword.del_proxy_lock.acquire()
if proxy == loginer.get_proxy():
loginer.del_proxy()
WeiboSearchLog().get_scheduler_logger().warning(self.name + " proxy exception , change proxy !")
crawl_set_time_with_keyword.del_proxy_lock.release()
if is_again:
return self.crawl(url, is_again=False)
else:
self.second_url_queue.put(url)
return user_info_loc
return user_info_loc
# uid_or_uname = StringField(unique=True)
# nickname = StringField()
# is_persion = StringField()
# check_or_not = StringField()
# fensi = StringField()
def store_userinfo_loc_to_db(self, user_info_loc):
unique_user_info_loc = UserInfo_loc_store(uid=user_info_loc.uid, nickname=user_info_loc.nickname, location=user_info_loc.location, sex=user_info_loc.sex, birth=user_info_loc.birth, intro=user_info_loc.intro, check_or_not=user_info_loc.check_or_not, check_info=user_info_loc.check_info)
try:
unique_user_info_loc.save()
except NotUniqueError:
pass
except:
WeiboSearchLog().get_scheduler_logger().info(self.name + " insert to database, something wrong !")
pass
WeiboSearchLog().get_scheduler_logger().info(self.name + " insert to database, success !")
pass
def run(self):
self.init_url_queue()
while not self.url_queue.empty() or not self.second_url_queue.empty():
url = ""
if not self.url_queue.empty():
url = self.url_queue.get()
else:
url = self.second_url_queue.get()
user_info_loc = self.crawl(url)
# print user_info.to_string()
self.store_userinfo_loc_to_db(user_info_loc)
pass
# 要从 网页端 进行抓取，为了提取用户的注册时间
class crawl_userinfo_3_for_regester_time(threading.Thread):
def __init__(self, uid_or_uname_list, thread_name='crawl_userinfo_for_regester_times'):
threading.Thread.__init__(self)
self.uid_or_uname_list = uid_or_uname_list
self.url_queue = Queue()
self.second_url_queue = Queue()
pass
# http://weibo.cn/1806760610/info
def init_url_queue(self):
for uid_or_nickname in self.uid_or_uname_list:
url = "http://weibo.com/" + uid_or_nickname + "/info"
self.url_queue.put(url)
pass
# 抓取并解析页面
def crawl(self, url, is_again=True):
loginer = Loginer()
cookie = loginer.get_cookie()
proxy = loginer.get_proxy()
craw_object = Crawler_with_proxy(url, cookie, proxy)
WeiboSearchLog().get_scheduler_logger().info(self.name + " start to crawl ! " + url)
userInfo_for_regester_time = ""
try:
page = craw_object.get_page()
userInfo_for_regester_time = page_parser_from_search_for_UserInfo_for_regester_time(page, url)
except:
print traceback.format_exc()
crawl_set_time_with_keyword.del_proxy_lock.acquire()
if proxy == loginer.get_proxy():
loginer.del_proxy()
WeiboSearchLog().get_scheduler_logger().warning(self.name + " proxy exception , change proxy !")
crawl_set_time_with_keyword.del_proxy_lock.release()
if is_again:
return self.crawl(url, is_again=False)
else:
self.second_url_queue.put(url)
return userInfo_for_regester_time
return userInfo_for_regester_time
# uid_or_uname = StringField(unique=True)
# nickname = StringField()
# is_persion = StringField()
# check_or_not = StringField()
# fensi = StringField()
def store_userinfo_loc_to_db(self, userInfo_for_regester_time):
unique_user_info = UserInfo_for_regester_time_store(uid=userInfo_for_regester_time.uid, nickname=userInfo_for_regester_time.nickname, \
location=userInfo_for_regester_time.location, sex=userInfo_for_regester_time.sex, \
birth=userInfo_for_regester_time.birth, regester_time=userInfo_for_regester_time.regester_time)
try:
unique_user_info.save()
except NotUniqueError:
pass
except:
WeiboSearchLog().get_scheduler_logger().info(self.name + " insert to database, something wrong !")
pass
WeiboSearchLog().get_scheduler_logger().info(self.name + " insert to database, success !")
pass
def run(self):
self.init_url_queue()
while not self.url_queue.empty() or not self.second_url_queue.empty():
url = ""
if not self.url_queue.empty():
url = self.url_queue.get()
else:
url = self.second_url_queue.get()
userInfo_for_regester_time = self.crawl(url)
# print user_info.to_string()
self.store_userinfo_loc_to_db(userInfo_for_regester_time)
pass
############################################ 页面解析 ###########################################################
# http://weibo.cn/1806760610/info
def page_parser_from_search_for_UserInfoLoc(page, url):
bs_all = BeautifulSoup(page)
div_all = bs_all.findAll('div', attrs={'class':'c'})
nickname = ""
location = ""
sex = ""
birth = ""
intro = ""
check_or_not = u'否'
check_info = ""
op_uid = url[url.find('.cn'):]
uid = op_uid[op_uid.find('/') + 1:op_uid.rfind('/')]
for div in div_all:
for str_in in str(div.getText(u'\n')).split(u'\n'):
en_str = str_in.encode('utf-8')
if(en_str.startswith(u"昵称")):
nickname = en_str[en_str.find(':') + 1:]
elif(en_str.startswith(u"地区")):
location = en_str[en_str.find(':') + 1:]
elif(en_str.startswith(u"性别")):
sex = en_str[en_str.find(':') + 1:]
elif(en_str.startswith(u"生日")):
birth = en_str[en_str.find(':') + 1:]
elif(en_str.startswith(u"简介")):
intro = en_str[en_str.find(':') + 1:]
elif(en_str.startswith(u"认证信息")):
check_or_not = u'是'
check_info = en_str
return UserInfo_loc(uid, nickname, location, sex, birth, intro, check_or_not, check_info)
pass
# http://weibo.cn/1730330447?f=search_0
# http://weibo.cn/breakingnews?f=search_0
# 解析获取 UserInfo
def page_parser_from_search_for_UserInfo(page, url):
out_soup = BeautifulSoup(page)
div_u_first = ""
for div_u_one in out_soup.findAll('div', attrs={'class':'u'}):
if u"资料" in div_u_one.getText() and u"私信" in div_u_one.getText():
div_u_first = div_u_one
break
# 获取 uid_or_uname,
uid_or_uname = ""
for a_one in div_u_first.findAll("a"):
if u"送Ta会员" in a_one.getText() and u"uid=" in a_one.attrs["href"]:
a_one_href = a_one.attrs["href"]
uid_or_uname = a_one_href[a_one_href.find("uid=") + 4:]
break
# op_url = url[url.find(".cn"):]
# uid_or_uname = op_url[op_url.find('/')+1:op_url.find('?')]
# 新添加----------------------------------start
sex = ""
location = ""
check_info = ""
weibo_all_nums = ""
guan_zhu_nums = ""
# 新添加----------------------------------end
# is_persion,check_or_not
is_persion = ""
check_or_not = ""
div_class_ut = div_u_first.find('div', attrs={'class':'ut'})
# nickname
nickname = ""
span_class_ctt = div_class_ut.findAll('span', attrs={'class':'ctt'})
for span_class_ctt_one in span_class_ctt:
span_class_ctt_one_text = span_class_ctt_one.getText()
if u"关注" in span_class_ctt_one_text:
if str(span_class_ctt_one_text).find("男") != -1:
nickname = span_class_ctt_one_text[:span_class_ctt_one_text.find(u'男') - 1]
sex = "男"
location = span_class_ctt_one_text[span_class_ctt_one_text.find(u'男') + 2:span_class_ctt_one_text.find(u'关注') - 1]
if str(span_class_ctt_one_text).find("女") != -1:
nickname = span_class_ctt_one_text[:span_class_ctt_one_text.find(u'女') - 1]
sex = "女"
location = span_class_ctt_one_text[span_class_ctt_one_text.find(u'女') + 2:span_class_ctt_one_text.find(u'关注') - 1 ]
if u"认证" in span_class_ctt_one_text:
check_info = span_class_ctt_one_text[span_class_ctt_one_text.find(u"认证:") + 1:]
pass
# op_span_class_ctt_one_html = span_class_ctt_one_html[2:]
# nickname_candidate = op_span_class_ctt_one_html[op_span_class_ctt_one_html.find('>')+1:op_span_class_ctt_one_html.find('<')]
# # if str(nickname_candidate).find("男") != -1:
# # nickname_candidate = nickname_candidate[:nickname_candidate.find(u'男')-1]
# # if str(nickname_candidate).find("女") != -1:
# # nickname_candidate = nickname_candidate[:nickname_candidate.find(u'女')-1]
# nickname = nickname_candidate
imag_alt_V = div_class_ut.find('img', attrs={'alt':'V'})
if imag_alt_V is not None:
if u"5337" in str(imag_alt_V.attrs['src']):
is_persion = "no"
else:
is_persion = "yes"
check_or_not = "yes"
else:
is_persion = "yes"
check_or_not = "no"
# ,fensi
fensi = ""
div_tip2_second_leval = div_u_first.find('div', attrs={'class':'tip2'})
a_all = div_tip2_second_leval.findAll('a')
for a_one in a_all:
a_text = a_one.getText()
if u"粉丝" in a_text:
fensi = a_text[a_text.find('[') + 1:a_text.find(']')]
if u"关注" in a_text:
guan_zhu_nums = a_text[a_text.find('[') + 1:a_text.find(']')]
for span_class_tc in div_tip2_second_leval.findAll('span'):
span_class_tc_text = span_class_tc.getText()
if u"微博" in span_class_tc_text:
weibo_all_nums = span_class_tc_text[span_class_tc_text.find('[') + 1:span_class_tc_text.find(']')]
user_info = UserInfo(uid_or_uname, nickname, is_persion, check_or_not, fensi, sex, location, check_info, weibo_all_nums, guan_zhu_nums)
return user_info
pass
# # 解析页面，获取搜索的第一个，uid
def page_parser_from_search_for_uid(page):
out_soup = BeautifulSoup(page)
table_first = out_soup.find('table')
td_first = table_first.find('td', attrs={'valign':'top'})
a_href = td_first.find('a').attrs['href']
uid_or_uname = a_href[a_href.rfind('/') + 1:a_href.find('?')]
return uid_or_uname
# # 通过 http://weibo.com/1802646764/info 来抓取用户信息，主要是为了抓取用户的注册时间
def page_parser_from_search_for_UserInfo_for_regester_time(page, url):
uid = url[url.find('com/') + 4:url.rfind('/')]
nickname = ""
location = ""
sex = ""
birth = ""
regester_time = ""
soup = BeautifulSoup(page)
for script in soup.findAll('script'):
text = script.text
if 'FM.view(' in text:
text = text[8:]
if text.endswith(')'):
text = text[:-1]
if text.endswith(');'):
text = text[:-2]
data = json.loads(text)
inner_html = data.get('html')
if inner_html is None:
continue
inner_soup = BeautifulSoup(inner_html)
# pf_items = inner_soup.findAll('div', attrs={'class': 'pf_item clearfix'})
li_1_clearfix_all = inner_soup.findAll('li', attrs={'class':'li_1 clearfix'})
for one_li in li_1_clearfix_all:
this_text = one_li.getText()
# print this_text
if u'昵称' in this_text:
nickname = this_text[this_text.find(u'昵称') + 3:].strip()
continue
if u'所在地' in this_text:
location = this_text[this_text.find(u'所在地') + 4:].strip()
continue
if u'性别' in this_text:
sex = this_text[this_text.find(u'性别') + 3:].strip()
continue
if u'生日' in this_text:
birth = this_text[this_text.find(u'生日') + 3:].strip()
continue
if u'注册时间' in this_text:
regester_time = this_text[this_text.find(u'注册时间') + 5:].strip()
continue
userInfo_for_regester_time = UserInfo_for_regester_time(uid,nickname,location,sex,birth,regester_time)
# userInfo_for_regester_time.print_self()
return userInfo_for_regester_time
| 37.727569 | 293 | 0.589657 | 2,921 | 23,127 | 4.305033 | 0.092776 | 0.031014 | 0.034195 | 0.028628 | 0.676024 | 0.598807 | 0.537336 | 0.483181 | 0.445089 | 0.425686 | 0 | 0.007777 | 0.293899 | 23,127 | 612 | 294 | 37.789216 | 0.762278 | 0.099667 | 0 | 0.505855 | 0 | 0 | 0.06028 | 0.007426 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.051522 | 0.04918 | null | null | 0.014052 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
c2c2bc98c89407c449beca19dbbedcbb96369738 | 246 | py | Python | sureflap/resources/request_models.py | fabieu/sureflap-api | 711bb32a7add64367fa3e15b25d52468f8aa7904 | [
"Apache-2.0"
] | 1 | 2020-12-03T16:43:55.000Z | 2020-12-03T16:43:55.000Z | sureflap/resources/request_models.py | fabieu/sureflap-api | 711bb32a7add64367fa3e15b25d52468f8aa7904 | [
"Apache-2.0"
] | 3 | 2021-07-14T21:41:53.000Z | 2022-01-29T16:56:21.000Z | sureflap/resources/request_models.py | fabieu/sureflap-api | 711bb32a7add64367fa3e15b25d52468f8aa7904 | [
"Apache-2.0"
] | 2 | 2021-02-13T12:11:22.000Z | 2021-02-14T09:58:40.000Z | from datetime import datetime, time
from enum import Enum
from typing import Optional, Sequence, Union
from pydantic import BaseModel
class Direction(Enum):
enum_1 = 1
enum_2 = 2
class PetLocationSet(BaseModel):
where: Direction
| 16.4 | 44 | 0.756098 | 33 | 246 | 5.575758 | 0.515152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020202 | 0.195122 | 246 | 14 | 45 | 17.571429 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.444444 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
c2d85ba1664d0e7d0a642dbaf8af0b812fb9a534 | 320 | py | Python | forums/__init__.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | forums/__init__.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | forums/__init__.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | from werkzeug import find_modules, import_string
from forums import routes
from forums.modifications import modify_core
def init_app(app):
with app.app_context():
for name in find_modules('forums', recursive=True):
import_string(name)
app.register_blueprint(routes.bp)
modify_core()
| 21.333333 | 59 | 0.73125 | 43 | 320 | 5.232558 | 0.55814 | 0.097778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.19375 | 320 | 14 | 60 | 22.857143 | 0.872093 | 0 | 0 | 0 | 0 | 0 | 0.01875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.444444 | 0 | 0.555556 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
c2e0b6b1770d351e8357e3bd5c3075735bda47ee | 695 | py | Python | django_monitor/price_monitor/spider/enterprise/enterprise/items.py | jasonljc/enterprise-price-monitor | 616396243e909d3584f4cfcc53d4e156510da4bb | [
"MIT"
] | null | null | null | django_monitor/price_monitor/spider/enterprise/enterprise/items.py | jasonljc/enterprise-price-monitor | 616396243e909d3584f4cfcc53d4e156510da4bb | [
"MIT"
] | null | null | null | django_monitor/price_monitor/spider/enterprise/enterprise/items.py | jasonljc/enterprise-price-monitor | 616396243e909d3584f4cfcc53d4e156510da4bb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class EnterpriseItem(scrapy.Item):
# define the fields for your item here like:
searchTime = scrapy.Field()
searchCriteria = scrapy.Field()
startDateMonth = scrapy.Field()
startDateInput = scrapy.Field()
startDateTime = scrapy.Field()
endDateMonth = scrapy.Field()
endDateInput = scrapy.Field()
endDateTime = scrapy.Field()
optionalCode = scrapy.Field()
location = scrapy.Field()
car_class = scrapy.Field()
car_price = scrapy.Field()
car_total_price = scrapy.Field()
| 26.730769 | 51 | 0.684892 | 80 | 695 | 5.9 | 0.525 | 0.302966 | 0.088983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001792 | 0.197122 | 695 | 26 | 52 | 26.730769 | 0.844086 | 0.261871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c0dd11197119baf2f7c1d5775874b54734c6eff | 554 | py | Python | assets/tuned/daemon/tuned/profiles/functions/function_regex_search_ternary.py | sjug/cluster-node-tuning-operator | 8654d1c9558d0d5ef03d14373c877ebc737f9736 | [
"Apache-2.0"
] | 53 | 2018-11-13T07:02:03.000Z | 2022-03-25T00:00:04.000Z | assets/tuned/daemon/tuned/profiles/functions/function_regex_search_ternary.py | sjug/cluster-node-tuning-operator | 8654d1c9558d0d5ef03d14373c877ebc737f9736 | [
"Apache-2.0"
] | 324 | 2018-10-02T14:18:54.000Z | 2022-03-31T23:47:33.000Z | assets/tuned/daemon/tuned/profiles/functions/function_regex_search_ternary.py | sjug/cluster-node-tuning-operator | 8654d1c9558d0d5ef03d14373c877ebc737f9736 | [
"Apache-2.0"
] | 54 | 2018-10-01T16:55:09.000Z | 2022-03-28T13:56:53.000Z | import re
from . import base
class regex_search_ternary(base.Function):
"""
Ternary regex operator, it takes arguments in the following form
STR1, REGEX, STR2, STR3
If REGEX matches STR1 (re.search is used), STR2 is returned,
otherwise STR3 is returned
"""
def __init__(self):
# 4 arguments
super(regex_search_ternary, self).__init__("regex_search_ternary", 4, 4)
def execute(self, args):
if not super(regex_search_ternary, self).execute(args):
return None
if re.search(args[1], args[0]):
return args[2]
else:
return args[3]
| 25.181818 | 74 | 0.725632 | 85 | 554 | 4.541176 | 0.482353 | 0.11399 | 0.186529 | 0.119171 | 0.139896 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0282 | 0.16787 | 554 | 21 | 75 | 26.380952 | 0.809111 | 0.341155 | 0 | 0 | 0 | 0 | 0.056818 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c0f4bbb43f54fa43e4df577a49de96ebd810921 | 969 | py | Python | bitshares/aio/block.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 102 | 2018-04-08T23:05:00.000Z | 2022-03-31T10:10:03.000Z | bitshares/aio/block.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 246 | 2018-04-03T12:35:49.000Z | 2022-02-28T10:44:28.000Z | bitshares/aio/block.py | silverchen0402/python-bitshares | aafbcf5cd09e7bca99dd156fd60b9df8ba508630 | [
"MIT"
] | 128 | 2018-04-14T01:39:12.000Z | 2022-03-25T08:56:51.000Z | # -*- coding: utf-8 -*-
from .instance import BlockchainInstance
from ..block import Block as SyncBlock, BlockHeader as SyncBlockHeader
from graphenecommon.aio.block import (
Block as GrapheneBlock,
BlockHeader as GrapheneBlockHeader,
)
@BlockchainInstance.inject
class Block(GrapheneBlock, SyncBlock):
"""
Read a single block from the chain.
:param int block: block number
:param bitshares.aio.bitshares.BitShares blockchain_instance: BitShares
instance
:param bool lazy: Use lazy loading
:param loop: async event loop
Instances of this class are dictionaries that come with additional
methods (see below) that allow dealing with a block and it's
corresponding functions.
.. code-block:: python
from bitshares.aio.block import Block
block = await Block(1)
print(block)
"""
pass
@BlockchainInstance.inject
class BlockHeader(GrapheneBlockHeader, SyncBlockHeader):
pass
| 25.5 | 75 | 0.721362 | 112 | 969 | 6.232143 | 0.535714 | 0.047278 | 0.068768 | 0.051576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002618 | 0.211558 | 969 | 37 | 76 | 26.189189 | 0.910995 | 0.521156 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.166667 | 0.25 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
6c2a16cd533af1320b7486ce971ab489987fbb0b | 806 | py | Python | CelestialMechanics/mu.py | Camiloasc1/AstronomyUNAL | 0d533c1737e5328605c70f614024e1759e8d0962 | [
"MIT"
] | null | null | null | CelestialMechanics/mu.py | Camiloasc1/AstronomyUNAL | 0d533c1737e5328605c70f614024e1759e8d0962 | [
"MIT"
] | null | null | null | CelestialMechanics/mu.py | Camiloasc1/AstronomyUNAL | 0d533c1737e5328605c70f614024e1759e8d0962 | [
"MIT"
] | null | null | null | import numpy as np
from CelestialMechanics.kepler.constants import K
def mu_sun(m2_over_m1: float) -> float:
"""
mu = k * sqrt(1 + m2/m1)
:param m2_over_m1:
:type m2_over_m1:
:return: mu
:rtype: float
"""
mu = K * np.sqrt(1. + m2_over_m1)
return mu * mu
def mu_na(n: float, a: float) -> float:
"""
mu = n^2 / a^3
:param n: mean motion in degrees
:type n: float
:param a: semi-major axis
:type a: float
:return: mu
:rtype: float
"""
return n * n * a * a * a
def mu_gm1m2(m1: float, m2: float) -> float:
"""
mu = G (m1 + m2)
:param m1: mass 1
:type m1: float
:param m2: mass 2
:type m2: float
:return: mu
:rtype: float
"""
from astropy.constants import G
return G * (m1 + m2)
| 16.791667 | 49 | 0.545906 | 126 | 806 | 3.404762 | 0.301587 | 0.055944 | 0.074592 | 0.125874 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051282 | 0.322581 | 806 | 47 | 50 | 17.148936 | 0.734432 | 0.41067 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0.3 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c36540f75ff0aa4e3d1fa481631b799e5a9132c | 1,041 | py | Python | portfolio_pj/portfolio_app/views.py | duynb92/portfolio_site | f6898e8d1c3a67aa8dc6eafc7e4804e81dc46063 | [
"MIT"
] | null | null | null | portfolio_pj/portfolio_app/views.py | duynb92/portfolio_site | f6898e8d1c3a67aa8dc6eafc7e4804e81dc46063 | [
"MIT"
] | null | null | null | portfolio_pj/portfolio_app/views.py | duynb92/portfolio_site | f6898e8d1c3a67aa8dc6eafc7e4804e81dc46063 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from models import *
# Create your views here.
def index(req):
context = HomeContext("Home", Facade.getSkills(), Facade.getHobbies())
return render(req, 'index.html', context=vars(context))
def profile(req):
profile_context = ProfileContext("Profile", Facade.getProfiles())
return render(req, 'profile.html', context=vars(profile_context))
def portfolio(req):
portfolio_context = PortfolioContext("Portfolio", Facade.getProjects())
return render(req, 'portfolio-gird-3.html', context=vars(portfolio_context))
def service(req):
service_context = ServiceContext("Services", Facade.getServices())
return render(req, 'services.html', context=vars(service_context))
def contact(req):
context = BaseContext("Contact")
return render(req, 'contact-3.html', context=vars(context))
def blog(req):
blog_context = BlogContext("Blog", [])
return render(req, 'blog.html', context=vars(blog_context)) | 33.580645 | 80 | 0.727185 | 125 | 1,041 | 5.952 | 0.352 | 0.096774 | 0.120968 | 0.05914 | 0.067204 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003319 | 0.131604 | 1,041 | 31 | 81 | 33.580645 | 0.81969 | 0.043228 | 0 | 0 | 0 | 0 | 0.118712 | 0.021127 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.142857 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c3eef3ce318f9f2ea78b8b3df0a26bfa302ee81 | 106 | py | Python | src/pythonFEA/defaults.py | honzatomek/pythonFEA | c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7 | [
"MIT"
] | null | null | null | src/pythonFEA/defaults.py | honzatomek/pythonFEA | c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7 | [
"MIT"
] | null | null | null | src/pythonFEA/defaults.py | honzatomek/pythonFEA | c851c20800a06cc2084ef53dfd2ab67e7dfbc3b7 | [
"MIT"
] | null | null | null | # DEFUALT SETUP FOR NUMBERS
DEFAULT_FLOAT = float
# DEFAULT SETUP FOR STRINGS
DEFAULT_LABEL_LENGTH = 120
| 17.666667 | 27 | 0.801887 | 15 | 106 | 5.466667 | 0.666667 | 0.195122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033708 | 0.160377 | 106 | 5 | 28 | 21.2 | 0.88764 | 0.481132 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6c5b5d2beb7892b3713dc1291924921532e74885 | 1,795 | py | Python | encommon/tests/test_times.py | enasisnetwork/encommon-py | c2bb1412171c84fe2917a23b535a6db1b5f523c1 | [
"MIT"
] | null | null | null | encommon/tests/test_times.py | enasisnetwork/encommon-py | c2bb1412171c84fe2917a23b535a6db1b5f523c1 | [
"MIT"
] | null | null | null | encommon/tests/test_times.py | enasisnetwork/encommon-py | c2bb1412171c84fe2917a23b535a6db1b5f523c1 | [
"MIT"
] | null | null | null | #==============================================================================#
# Enasis Network Common Libraries #
# Python Functions Time Processing #
#==============================================================================#
# Primary Functions for Time Processing #
# : - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - #
# : Standard Time Converting timeformat #
#==============================================================================#
#------------------------------------------------------------------------------#
# Primary Functions for Time Processing #
#------------------------------------------------------------------------------#
#
#~~ Standard Time Converting ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Conditionally perform the conversions to and from epoch and timestamp string
#-----------------------------------------------------------------------------
def test_timeformat():
#
# Import the module and functions relevant to this particular set of tests
from encommon.times import timeformat
#
# Initial section for instantizing variables expected by remaining routine
epoch = 1558763424
stamp = "2019-05-25T05:50:24"
#
# Assert the relevant conditions indicating either test success or failure
assert timeformat(epoch, "%Y-%m-%dT%H:%M:%S")[1] == stamp
assert timeformat(stamp, "%Y-%m-%dT%H:%M:%S")[0] == epoch
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
#------------------------------------------------------------------------------#
| 54.393939 | 80 | 0.325905 | 105 | 1,795 | 5.561905 | 0.609524 | 0.071918 | 0.065068 | 0.078767 | 0.212329 | 0.212329 | 0.188356 | 0.188356 | 0 | 0 | 0 | 0.018786 | 0.228969 | 1,795 | 32 | 81 | 56.09375 | 0.403179 | 0.815042 | 0 | 0 | 0 | 0 | 0.179054 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6c6a82e95bf8ebf0eb518403b616adac59f096b0 | 505 | py | Python | autograd/tests/test_z_playground.py | pmaederyork/Dragrongrad | 32794d561f8d0273592ed55d315013eab2c24b8b | [
"MIT"
] | 3 | 2018-12-17T16:24:11.000Z | 2020-06-03T22:40:50.000Z | autograd/tests/test_z_playground.py | cs207-project-group4/project-repo | d5ee88d2a7d16477d816d830ba90d241a05e3b48 | [
"MIT"
] | 2 | 2018-10-18T17:59:26.000Z | 2018-12-08T16:06:34.000Z | autograd/tests/test_z_playground.py | cs207-project-group4/project-repo | d5ee88d2a7d16477d816d830ba90d241a05e3b48 | [
"MIT"
] | 1 | 2019-08-19T06:06:13.000Z | 2019-08-19T06:06:13.000Z | # -*- coding: utf-8 -*-
from autograd.blocks.trigo import sin, cos
from autograd.variable import Variable
import numpy as np
import autograd as ad
from autograd import config
class test():
def __init__(self, x):
self.x=x
def parent(self):
print('parent')
class sub(test):
def __init__(self, x):
super().__init__(x)
def parent(self):
print('child')
super().parent()
t=sub(2)
t.parent()
| 15.78125 | 42 | 0.552475 | 63 | 505 | 4.238095 | 0.460317 | 0.134831 | 0.082397 | 0.11236 | 0.262172 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005917 | 0.330693 | 505 | 31 | 43 | 16.290323 | 0.784024 | 0.041584 | 0 | 0.222222 | 0 | 0 | 0.022822 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.277778 | 0 | 0.611111 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c6ff29fbade9a404f47dd54164a91e8e0704f4b | 664 | py | Python | opfu/stock.py | XavierDingRotman/OptionsFutures | bab0de0d66efe39f05e9ddf59460ec76547d9ada | [
"Apache-2.0"
] | 1 | 2020-07-05T20:54:15.000Z | 2020-07-05T20:54:15.000Z | opfu/stock.py | XavierDingRotman/OptionsFutures | bab0de0d66efe39f05e9ddf59460ec76547d9ada | [
"Apache-2.0"
] | null | null | null | opfu/stock.py | XavierDingRotman/OptionsFutures | bab0de0d66efe39f05e9ddf59460ec76547d9ada | [
"Apache-2.0"
] | null | null | null | from opfu.security import Security
class Stock(Security):
def __init__(self, S, T, is_short=False):
self.S = S
self.K = self.S
self.T = T
Security.__init__(self, is_short, price=0)
def payoff_long(self, P):
return P - self.S
def graph_payoff(self, start=0, end=None, num=100):
if end == None:
end = self.S * 2
Security.graph_payoff(self, start, end, num)
def get_bsm_price(self):
return self.S
def greek_letter(self, greek, dd=0, method="BSM"):
if greek == "delta":
return 1
if greek == "gamma":
return 0
return 0
| 23.714286 | 55 | 0.554217 | 95 | 664 | 3.705263 | 0.4 | 0.085227 | 0.045455 | 0.113636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022573 | 0.332831 | 664 | 27 | 56 | 24.592593 | 0.772009 | 0 | 0 | 0.095238 | 0 | 0 | 0.019578 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.238095 | false | 0 | 0.047619 | 0.095238 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c74c309dcd00dafc4c1aae00a0c378fd733102d | 1,105 | py | Python | src/user/models.py | fga-gpp-mds/2017.2-Grupo12 | a90f94d0d497f625ab82ef44a907561f3bfa835f | [
"MIT"
] | 6 | 2017-10-02T12:07:40.000Z | 2017-12-14T11:40:07.000Z | src/user/models.py | fga-gpp-mds/2017.2-Grupo12 | a90f94d0d497f625ab82ef44a907561f3bfa835f | [
"MIT"
] | 92 | 2017-09-30T19:14:21.000Z | 2017-12-14T04:41:16.000Z | src/user/models.py | fga-gpp-mds/2017.2-Grupo12 | a90f94d0d497f625ab82ef44a907561f3bfa835f | [
"MIT"
] | 3 | 2017-09-06T00:49:38.000Z | 2018-07-13T00:32:37.000Z | from django.db import models
from django.contrib.auth.models import User
class Person(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
name = models.CharField(max_length=64, null=False)
email = models.EmailField(max_length=100, null=False)
class Advisor(Person):
cpf = models.CharField(max_length=14, null=False)
tipo_cae = models.CharField(default='Municipal', max_length=9, null=False)
nome_cae = models.CharField(default='CAE', max_length=50, null=False)
cep = models.CharField(max_length=10, null=False)
bairro = models.CharField(max_length=30, null=False)
municipio = models.CharField(max_length=30, null=False)
uf = models.CharField(max_length=2, null=False)
class Meta:
permissions = (
('advisor', 'Advisor permissions'),
)
class President(Advisor):
class Meta:
permissions = (
('president', 'President permissions'),
)
class Administrator(Person):
class Meta:
permissions = (
('administrator', 'Administrator permissions'),
)
| 29.078947 | 78 | 0.673303 | 129 | 1,105 | 5.674419 | 0.356589 | 0.110656 | 0.147541 | 0.196721 | 0.095628 | 0.095628 | 0.095628 | 0 | 0 | 0 | 0 | 0.019429 | 0.208145 | 1,105 | 37 | 79 | 29.864865 | 0.817143 | 0 | 0 | 0.214286 | 0 | 0 | 0.095928 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.678571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c86a24e42a439643a1c92f29bdfc4a1de454d48 | 964 | py | Python | tests/conftest.py | jwizzle/nerdchess | 045726326abc3ff94af30bda0c66beff1ca52978 | [
"WTFPL"
] | null | null | null | tests/conftest.py | jwizzle/nerdchess | 045726326abc3ff94af30bda0c66beff1ca52978 | [
"WTFPL"
] | null | null | null | tests/conftest.py | jwizzle/nerdchess | 045726326abc3ff94af30bda0c66beff1ca52978 | [
"WTFPL"
] | null | null | null | """Fixtures for pytest."""
import pytest
from nerdchess.board import Board
from nerdchess import pieces
@pytest.fixture
def board_fixt():
"""Wrap the boardfixt class as a pytest fixture."""
return BoardFixt(Board())
class BoardFixt():
"""Helper functions to manipulate a board passed as fixture."""
def __init__(self, board):
"""Init."""
self.board = board
def place_piece(self, piece, position):
"""Place a piece or pawn on the board."""
letter = position[0]
number = int(position[1])
self.board.squares[letter][number].occupant = piece
piece.position = position
def default_setup(self):
"""Set the board in default game start position.
Returns:
board: The new board object
"""
boardpieces = pieces.create_pieces()
pawns = pieces.create_pawns()
self.board.setup_board(boardpieces, pawns)
return self.board
| 25.368421 | 67 | 0.631743 | 115 | 964 | 5.208696 | 0.434783 | 0.075125 | 0.043406 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002809 | 0.261411 | 964 | 37 | 68 | 26.054054 | 0.838483 | 0.263485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0 | 0.157895 | 0 | 0.526316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c87ac082f2ea2bf7c87cad18eaf0cdd7451709c | 869 | py | Python | opennem/api/schema.py | paulculmsee/opennem | 9ebe4ab6d3b97bdeebc352e075bbd5c22a8ddea1 | [
"MIT"
] | 22 | 2020-06-30T05:27:21.000Z | 2022-02-21T12:13:51.000Z | opennem/api/schema.py | paulculmsee/opennem | 9ebe4ab6d3b97bdeebc352e075bbd5c22a8ddea1 | [
"MIT"
] | 71 | 2020-08-07T13:06:30.000Z | 2022-03-15T06:44:49.000Z | opennem/api/schema.py | paulculmsee/opennem | 9ebe4ab6d3b97bdeebc352e075bbd5c22a8ddea1 | [
"MIT"
] | 13 | 2020-06-30T03:28:32.000Z | 2021-12-30T08:17:16.000Z | from typing import List, Optional
from pydantic import BaseModel, Field
class ApiBase(BaseModel):
class Config:
orm_mode = True
anystr_strip_whitespace = True
use_enum_values = True
arbitrary_types_allowed = True
validate_assignment = True
class UpdateResponse(BaseModel):
success: bool = True
records: List = []
class FueltechResponse(ApiBase):
success: bool = True
# @TODO fix circular references
# records: List[FueltechSchema]
class APINetworkRegion(ApiBase):
code: str
timezone: Optional[str]
class APINetworkSchema(ApiBase):
code: str
country: str
label: str
regions: Optional[List[APINetworkRegion]]
timezone: Optional[str] = Field(None, description="Network timezone")
interval_size: int = Field(..., description="Size of network interval in minutes")
| 21.725 | 86 | 0.696203 | 94 | 869 | 6.340426 | 0.553191 | 0.036913 | 0.050336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.223245 | 869 | 39 | 87 | 22.282051 | 0.882963 | 0.067894 | 0 | 0.166667 | 0 | 0 | 0.063197 | 0 | 0 | 0 | 0 | 0.025641 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.791667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6c88a8da20ae18c022b5a983db40aed8a4ffb346 | 304 | py | Python | test-examples/issue_678_reproduce.py | tlambert03/image-demos | a2974bcc7f040fd4d14e659c4cbfeabcf726c707 | [
"BSD-3-Clause"
] | null | null | null | test-examples/issue_678_reproduce.py | tlambert03/image-demos | a2974bcc7f040fd4d14e659c4cbfeabcf726c707 | [
"BSD-3-Clause"
] | null | null | null | test-examples/issue_678_reproduce.py | tlambert03/image-demos | a2974bcc7f040fd4d14e659c4cbfeabcf726c707 | [
"BSD-3-Clause"
] | null | null | null | """
Test adding 4D followed by 5D image layers to the viewer
Intially only 2 sliders should be present, then a third slider should be
created.
"""
import numpy as np
from skimage import data
import napari
with napari.gui_qt():
viewer = napari.view_image(np.random.random((2, 10, 50, 100, 100)))
| 19 | 72 | 0.733553 | 51 | 304 | 4.333333 | 0.764706 | 0.072398 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056225 | 0.180921 | 304 | 15 | 73 | 20.266667 | 0.831325 | 0.457237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
6664d9c361d76731e630fab7db18a3314ba27f7a | 699 | py | Python | ex022.py | nascimentobrenda24/PythonExercises | 2055f42a0454ae25cba6a6457c85822eaad2df01 | [
"MIT"
] | 1 | 2021-11-23T21:41:25.000Z | 2021-11-23T21:41:25.000Z | ex022.py | nascimentobrenda24/PythonExercises | 2055f42a0454ae25cba6a6457c85822eaad2df01 | [
"MIT"
] | null | null | null | ex022.py | nascimentobrenda24/PythonExercises | 2055f42a0454ae25cba6a6457c85822eaad2df01 | [
"MIT"
] | null | null | null | # Analisador de textos
# Crie um programa que leia o nome completo de uma pessoa e mostre:
# - O nome com todas as letras maiúsculas e minúsculas.
# - Quantas letras ao todo (sem considerar espaços).
print('=*'*20, 'CADASTRO', '=*'*20)
nome = str(input('Nome Completo:')).strip()#Para ler com letras maiúsculas
print('Analisando seu nome...')
print('Seu nome em minúsculo é {}'.format(nome.lower()))
print('Seu nome em MAIÚSCULO é {}'.format(nome.upper()))
print('Seu nome tem ano todo {} letras'.format(len(nome)-nome.count(' ')))#menos o contador de espaços
primeiro_nome = nome.split() #Vai quebrar os caracteres
print('Seu primeiro nome tem {} letras'.format(len(primeiro_nome[0])))
| 34.95 | 102 | 0.703863 | 105 | 699 | 4.666667 | 0.542857 | 0.057143 | 0.073469 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008361 | 0.144492 | 699 | 19 | 103 | 36.789474 | 0.811037 | 0.391989 | 0 | 0 | 0 | 0 | 0.40241 | 0 | 0 | 0 | 0 | 0.052632 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
66698e346f68c9e447122b0d937db33190f58a61 | 4,443 | py | Python | tests/test_metrohash.py | thihara/pyfasthash | 20a53f9bb7bf15f98e3e549f523b49e1e0f62e15 | [
"Apache-2.0"
] | 234 | 2015-02-05T13:41:58.000Z | 2022-03-30T08:55:23.000Z | tests/test_metrohash.py | thihara/pyfasthash | 20a53f9bb7bf15f98e3e549f523b49e1e0f62e15 | [
"Apache-2.0"
] | 50 | 2015-03-19T05:53:34.000Z | 2022-03-30T16:20:17.000Z | tests/test_metrohash.py | thihara/pyfasthash | 20a53f9bb7bf15f98e3e549f523b49e1e0f62e15 | [
"Apache-2.0"
] | 44 | 2015-04-23T18:51:43.000Z | 2022-03-30T21:07:57.000Z | import pytest
import pyhash
def test_metro_64_1(hash_tester):
hash_tester(hasher_type=pyhash.metro_64_1,
bytes_hash=7555593383206836236,
seed_hash=9613011798576657330,
unicode_hash=5634638029758084150)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
def test_metro_128_1(hash_tester):
hash_tester(hasher_type=pyhash.metro_128_1,
bytes_hash=310240039238111093048322555259813357218,
seed_hash=330324289553816260191102680044286377986,
unicode_hash=160639312567243412360084738183177128736)
def test_metro_64_2(hash_tester):
hash_tester(hasher_type=pyhash.metro_64_2,
bytes_hash=13328239478646503906,
seed_hash=16521803336796657060,
unicode_hash=5992985172783395072)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
def test_metro_128_2(hash_tester):
hash_tester(hasher_type=pyhash.metro_128_2,
bytes_hash=308979041176504703647272401075625691044,
seed_hash=156408679042779357342816971045969684594,
unicode_hash=169904568621124891123383613748925830588)
def test_metro_Crc64_1(hash_tester):
hash_tester(hasher_type=pyhash.metro_crc_64_1,
bytes_hash=6872506084457499713,
seed_hash=14064239385324957326,
unicode_hash=5634638029758084150)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
def test_metro_Crc128_1(hash_tester):
hash_tester(hasher_type=pyhash.metro_crc_128_1,
bytes_hash=44856800307026421677415827141042094245,
seed_hash=199990471895323666720887863107514038076,
unicode_hash=53052528140813423722778028047086277728)
def test_metro_Crc64_2(hash_tester):
hash_tester(hasher_type=pyhash.metro_crc_64_2,
bytes_hash=9168163846307153532,
seed_hash=11235719994915751828,
unicode_hash=15697829093445668111)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
def test_metro_Crc128_2(hash_tester):
hash_tester(hasher_type=pyhash.metro_crc_128_2,
bytes_hash=29039398407115405218669555123781288008,
seed_hash=26197404070933777589488526163359489061,
unicode_hash=136212167639765185451107230087801381416)
@pytest.mark.benchmark(group='hash64', disable_gc=True)
def test_metro_hash64_1_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_64_1, 6897098198286496634)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
@pytest.mark.benchmark(group='hash128', disable_gc=True)
def test_metro_hash128_1_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_128_1,
284089860902754045805586152203438670446)
@pytest.mark.benchmark(group='hash64', disable_gc=True)
def test_metro_hash64_2_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_64_2, 9928248983045338067)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
@pytest.mark.benchmark(group='hash128', disable_gc=True)
def test_metro_hash128_2_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_128_2,
298961466275459716490100873977629041349)
@pytest.mark.benchmark(group='hash64', disable_gc=True)
def test_metro_hash_crc64_1_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_crc_64_1, 15625740387403976237)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
@pytest.mark.benchmark(group='hash128', disable_gc=True)
def test_metro_hash_crc128_1_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_crc_128_1,
221795002586229010982769362009963170208)
@pytest.mark.benchmark(group='hash64', disable_gc=True)
def test_metro_hash_crc64_2_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_crc_64_2, 9313388757605283934)
@pytest.mark.skipif(not pyhash.build_with_int128, reason="requires int128 support")
@pytest.mark.benchmark(group='hash128', disable_gc=True)
def test_metro_hash_crc128_2_perf(benchmark, hash_bencher):
hash_bencher(benchmark, pyhash.metro_crc_128_2,
319940271611864595969873671463832146628)
| 39.669643 | 83 | 0.765699 | 504 | 4,443 | 6.376984 | 0.136905 | 0.034848 | 0.059739 | 0.049782 | 0.630367 | 0.627878 | 0.627878 | 0.627878 | 0.627878 | 0.572495 | 0 | 0.29695 | 0.158677 | 4,443 | 111 | 84 | 40.027027 | 0.562868 | 0 | 0 | 0.230769 | 0 | 0 | 0.053117 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.205128 | false | 0 | 0.025641 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
666a08a2699afb54d288c230c2b9f22bf4716df5 | 1,375 | py | Python | scaner/controllers/communities.py | dearbornlavern/scaner | 401de0ec7caef5c5a23aedec106db136bd4e4658 | [
"Apache-2.0"
] | 12 | 2016-09-30T12:43:44.000Z | 2022-02-17T17:17:02.000Z | scaner/controllers/communities.py | dearbornlavern/scaner | 401de0ec7caef5c5a23aedec106db136bd4e4658 | [
"Apache-2.0"
] | null | null | null | scaner/controllers/communities.py | dearbornlavern/scaner | 401de0ec7caef5c5a23aedec106db136bd4e4658 | [
"Apache-2.0"
] | 7 | 2016-09-28T09:48:48.000Z | 2020-05-15T04:56:11.000Z | from flask import current_app
from scaner.utils import add_metadata
import json
# PRUEBA EXTRACION USUARIOS
# @add_metadata()
# def get(userId, fields=None, *args, **kwargs):
# #get_task = current_app.tasks.get_users_from_twitter.delay()
# get_task = current_app.tasks.execute_metrics.delay()
# return {'result': "In progress"}, 200
@add_metadata('communities')
def get(communityId, *args, **kwargs):
get_task = current_app.tasks.get_community.delay(communityId)
return {'communities': get_task.get(timeout = 100)}, 200
@add_metadata('users')
def get_network(communityId, *args, **kwargs):
community_network_task = current_app.tasks.get_community_network.delay(communityId)
return {'users': community_network_task.get(timeout = 100)}, 200
@add_metadata('communities')
def search(*args, **kwargs):
search_task = current_app.tasks.get_communities_list.delay()
return {'communities': search_task.get(timeout = 100)}, 200
@add_metadata()
def get_emotion(communityId, *args, **kwargs):
emotion_task = current_app.tasks.get_community_emotion.delay(communityId)
return {'result': emotion_task.get(timeout = 100)}, 200
@add_metadata()
def get_sentiment(communityId, *args, **kwargs):
sentiment_task = current_app.tasks.get_community_sentiment.delay(communityId)
return {'communities': sentiment_task.get(timeout = 100)}, 200 | 39.285714 | 87 | 0.749818 | 178 | 1,375 | 5.539326 | 0.235955 | 0.081136 | 0.099391 | 0.134888 | 0.419878 | 0.312373 | 0.208925 | 0.146045 | 0.075051 | 0 | 0 | 0.027228 | 0.118545 | 1,375 | 35 | 88 | 39.285714 | 0.786304 | 0.182545 | 0 | 0.173913 | 0 | 0 | 0.06362 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0.130435 | 0 | 0.565217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
666ce6df66f28481199af4b25376a59418b9191f | 395 | py | Python | cct/cases/create_snapshot.py | LmangoLemon/mind | 1b269acca41f840c5c71cb6c92ec92ecfb977ad4 | [
"Apache-2.0"
] | null | null | null | cct/cases/create_snapshot.py | LmangoLemon/mind | 1b269acca41f840c5c71cb6c92ec92ecfb977ad4 | [
"Apache-2.0"
] | null | null | null | cct/cases/create_snapshot.py | LmangoLemon/mind | 1b269acca41f840c5c71cb6c92ec92ecfb977ad4 | [
"Apache-2.0"
] | null | null | null | import logging
from time import sleep
from cct.case import Case
logger = logging.getLogger(__file__)
class create_snapshot(Case):
def pre_test(self):
logger.info ('doing something before create snapshot')
sleep(3)
def process(self):
logger.info('create snapshot')
sleep(5)
def post_test(self):
logger.info('create snapshot finished')
| 17.173913 | 62 | 0.668354 | 50 | 395 | 5.14 | 0.52 | 0.217899 | 0.163424 | 0.140078 | 0.217899 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006667 | 0.240506 | 395 | 22 | 63 | 17.954545 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0.194937 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.230769 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66b70f0759d9cb9c2433981c7b3e962dee37c367 | 4,032 | py | Python | basic/19-brownie/brownie_test/tests/exchange/test_eth_to_token.py | xiangzhengfeng/Dapp-Learning | 813fe6e52898206046842d10ecf9eb68b7f336a1 | [
"MIT"
] | 987 | 2021-12-19T09:57:18.000Z | 2022-03-31T15:39:45.000Z | basic/19-brownie/brownie_test/tests/exchange/test_eth_to_token.py | xiangzhengfeng/Dapp-Learning | 813fe6e52898206046842d10ecf9eb68b7f336a1 | [
"MIT"
] | 30 | 2021-12-20T03:13:29.000Z | 2022-03-31T15:00:23.000Z | basic/19-brownie/brownie_test/tests/exchange/test_eth_to_token.py | xiangzhengfeng/Dapp-Learning | 813fe6e52898206046842d10ecf9eb68b7f336a1 | [
"MIT"
] | 207 | 2021-12-19T08:40:38.000Z | 2022-03-31T13:10:02.000Z | from brownie import (accounts, web3)
def test_eth_to_token_swap(HAY_token, hay_token_exchange):
HAY_token.approve(hay_token_exchange, 10 * 10**18, {"from": accounts[0]})
# step 1: initialize exchange
hay_token_exchange.initializeExchange(10 * 10**18, {"from": accounts[0], "amount": 5 * 10**18})
# the swap function needs a timeout parameter
timeout = web3.eth.getBlock(web3.eth.blockNumber).timestamp + 300
assert HAY_token.balanceOf(accounts[2]) == 0
hay_token_exchange.ethToTokenSwap(1, timeout, {"from": accounts[2], "amount": 1 * 10**18})
# step 2: calculate the entries in transforming ETH to Token
# a) 注入ETH，直接先收取0.2%的手续费，最后注入到pool中，以input token的形式收取，这里是ETH，上例中收取0.002 ether
# fee = 0.2% * 1 * 10**18 = 2000000000000000
# b) 计算池子中剩余的token数量: Token pool = (last invariant) / ( ETH pool - fee )
# 注意在计算时，分子分母都要取整数，int(a) // int(b)
# e.g. Token pool = 10 * 10**18 * 5 * 10**18 / (5.998 * 10**18) = 8336112037345781927
# c) 计算返回的token的数量: Token received = original Token amount - Token pool
# = 10 * 10**18 - 8336112037345781927
# = 1663887962654218073
# d) 更新ETH-TOKEN池子的所有状态量：
# invariant = Token pool * ETH pool = 8336112037345781927 * 6 * 10**18 = 50016672224074691562000000000000000000
# Token Pool = 8336112037345781927
# ETH pool = 6 * 10**18
assert hay_token_exchange.ethPool() == 6 * 10**18
assert web3.eth.getBalance(hay_token_exchange.address) == 6 * 10**18
assert hay_token_exchange.tokenPool() == 8336112037345781927
assert HAY_token.balanceOf(hay_token_exchange) == 8336112037345781927
assert hay_token_exchange.invariant() == 50016672224074691562000000000000000000
assert HAY_token.balanceOf(accounts[2]) == 1663887962654218073
def test_fallback_eth_to_token_swap(HAY_token, hay_token_exchange):
# 测试uniswap exchange合约的默认fallback函数，即直接往这个地址转入eth，则默认是用ETH换取TOKEN的操作
HAY_token.approve(hay_token_exchange, 10 * 10**18, {"from": accounts[0]})
# step 1: initialize exchange
hay_token_exchange.initializeExchange(10 * 10**18, {"from": accounts[0], "amount": 5 * 10**18})
timeout = web3.eth.getBlock(web3.eth.blockNumber).timestamp + 300
# step 2: use accounts[2] to do the test
assert HAY_token.balanceOf(accounts[2]) == 0
accounts[2].transfer(hay_token_exchange, 1 * 10**18)
assert hay_token_exchange.ethPool() == 6 * 10 ** 18
assert web3.eth.getBalance(hay_token_exchange.address) == 6 * 10 ** 18
assert hay_token_exchange.tokenPool() == 8336112037345781927
assert HAY_token.balanceOf(hay_token_exchange) == 8336112037345781927
assert hay_token_exchange.invariant() == 50016672224074691562000000000000000000
assert HAY_token.balanceOf(accounts[2]) == 1663887962654218073
def test_eth_to_token_payment(HAY_token, hay_token_exchange):
# 测试eth2token payment函数，与swap函数不同的点是receipt是另一个地址
# 用accounts[2]的ETH取exchange中交易，交易所得TOken发往accounts[3]
HAY_token.approve(hay_token_exchange, 10 * 10 ** 18, {"from": accounts[0]})
# step 1: initialize exchange
hay_token_exchange.initializeExchange(10 * 10 ** 18, {"from": accounts[0], "amount": 5 * 10 ** 18})
timeout = web3.eth.getBlock(web3.eth.blockNumber).timestamp + 300
# 开始的两个地址的TOken数量都为0
assert HAY_token.balanceOf(accounts[2]) == 0
assert HAY_token.balanceOf(accounts[3]) == 0
hay_token_exchange.ethToTokenPayment(1, timeout, accounts[3], {"from": accounts[2], "amount": 1 * 10**18})
assert hay_token_exchange.ethPool() == 6 * 10 ** 18
assert web3.eth.getBalance(hay_token_exchange.address) == 6 * 10 ** 18
assert hay_token_exchange.tokenPool() == 8336112037345781927
assert HAY_token.balanceOf(hay_token_exchange) == 8336112037345781927
assert hay_token_exchange.invariant() == 50016672224074691562000000000000000000
assert HAY_token.balanceOf(accounts[3]) == 1663887962654218073
assert HAY_token.balanceOf(accounts[2]) == 0
| 51.692308 | 117 | 0.705109 | 489 | 4,032 | 5.642127 | 0.198364 | 0.127582 | 0.156578 | 0.0917 | 0.677782 | 0.652048 | 0.640087 | 0.576296 | 0.576296 | 0.529902 | 0 | 0.190764 | 0.178323 | 4,032 | 77 | 118 | 52.363636 | 0.642016 | 0.282738 | 0 | 0.769231 | 0 | 0 | 0.02161 | 0 | 0 | 0 | 0 | 0 | 0.589744 | 1 | 0.076923 | false | 0 | 0.025641 | 0 | 0.102564 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66b88bc537b297b0b6ea48d2a39575fd0626f252 | 232 | py | Python | setup.py | h-rub/manzip | 875e4ed75e08bd06b0d50698ecf1744ab3723e4c | [
"MIT"
] | null | null | null | setup.py | h-rub/manzip | 875e4ed75e08bd06b0d50698ecf1744ab3723e4c | [
"MIT"
] | null | null | null | setup.py | h-rub/manzip | 875e4ed75e08bd06b0d50698ecf1744ab3723e4c | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name="manzip",
version='1.0.0',
py_modules=['manzip'],
install_requires=[
'Click',
],
entry_points='''
[console_scripts]
manzip=app:main
''',
) | 16.571429 | 28 | 0.547414 | 24 | 232 | 5.125 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018293 | 0.293103 | 232 | 14 | 29 | 16.571429 | 0.731707 | 0 | 0 | 0 | 0 | 0 | 0.330472 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.076923 | 0 | 0.076923 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66bccd1b00412b945cbbdb0f6a0be3ab3a3ef37f | 158 | py | Python | tests/cli.py | joesitton/Ciphey | 862555f13e3915428a2f4ada5538fdf0be77ffcd | [
"MIT"
] | 9,908 | 2020-06-06T01:06:50.000Z | 2022-03-31T21:22:57.000Z | tests/cli.py | joesitton/Ciphey | 862555f13e3915428a2f4ada5538fdf0be77ffcd | [
"MIT"
] | 423 | 2020-05-30T11:44:37.000Z | 2022-03-18T03:15:30.000Z | tests/cli.py | joesitton/Ciphey | 862555f13e3915428a2f4ada5538fdf0be77ffcd | [
"MIT"
] | 714 | 2020-06-09T20:24:41.000Z | 2022-03-29T15:28:53.000Z | import subprocess
from sys import exit
result = subprocess.check_output(["ciphey", "-q", "-t 'hello'"])
if "hello" in result:
exit(0)
else:
exit(1)
| 15.8 | 64 | 0.651899 | 23 | 158 | 4.434783 | 0.73913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015504 | 0.183544 | 158 | 9 | 65 | 17.555556 | 0.775194 | 0 | 0 | 0 | 0 | 0 | 0.14557 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66cc342e6fa18c2dd06d530c8ed54f8e34f04274 | 1,853 | py | Python | scripts/bulkLoadUrls.py | conveyal/gtfs-data-manager | e7269fc1660f1816da269b1c116b43bdf758900b | [
"MIT"
] | 25 | 2015-02-11T19:20:07.000Z | 2021-03-10T07:53:29.000Z | scripts/bulkLoadUrls.py | conveyal/gtfs-data-manager | e7269fc1660f1816da269b1c116b43bdf758900b | [
"MIT"
] | 53 | 2015-01-07T20:30:56.000Z | 2016-10-10T12:47:22.000Z | scripts/bulkLoadUrls.py | conveyal/gtfs-data-manager | e7269fc1660f1816da269b1c116b43bdf758900b | [
"MIT"
] | 3 | 2015-01-03T10:17:34.000Z | 2015-11-10T10:44:27.000Z | #!/usr/bin/python
# load many feeds to the GTFS data manager, from a csv with fields name and url
# usage: bulkLoadFeeds.py file.csv http://server.example.com/
import csv
from getpass import getpass
from sys import argv
import json
from cookielib import CookieJar
import urllib2
from urllib import urlencode
if len(argv) != 3:
print 'usage: %s file.csv http://gtfs-data-manager.example.com' % argv[0]
server = argv[2]
with open(argv[1]) as f:
reader = csv.DictReader(f)
# log in to the server
print 'Please authenticate'
uname = raw_input('username: ')
pw = getpass('password: ')
# strip trailing slash to normalize url
server = server if not server.endswith('/') else server[:-1]
# cookie handling
# http://www.techchorus.net/using-cookie-jar-urllib2
cj = CookieJar()
opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
# authenticate
opener.open(server + '/authenticate', urlencode(dict(username=uname, password=pw)))
# choose feed collection
colls = json.load(opener.open(server + '/api/feedcollections'))
print 'choose a feed collection: '
for i in xrange(len(colls)):
print '%s. %s' % (i + 1, colls[i]['name'])
while True:
try:
coll = colls[int(raw_input('> ')) - 1]
except ValueError:
continue
else:
break
# load each feed
for feed in reader:
data = dict(
name = feed['name'],
url = feed['url'],
isPublic = True,
autofetch = True,
# every day
feedCollection = coll
)
# http://stackoverflow.com/questions/3290522
req = urllib2.Request(server + '/api/feedsources/', json.dumps(data), {'Content-Type': 'application/json'})
opener.open(req)
| 25.736111 | 115 | 0.611981 | 228 | 1,853 | 4.960526 | 0.495614 | 0.026525 | 0.026525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014012 | 0.268214 | 1,853 | 71 | 116 | 26.098592 | 0.820059 | 0.207232 | 0 | 0 | 0 | 0 | 0.149623 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.075 | 0.175 | null | null | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
66d0333de9cb88854cae7ea5468d3e9e83ace47c | 953 | py | Python | quokka/ext/weasyprint.py | yencchen/quokka_epus | d64aeb9c5ca59ee4bdcd84381f9bb0504680f5f5 | [
"MIT"
] | 1 | 2020-10-31T03:57:07.000Z | 2020-10-31T03:57:07.000Z | quokka/ext/weasyprint.py | yencchen/quokka_epus | d64aeb9c5ca59ee4bdcd84381f9bb0504680f5f5 | [
"MIT"
] | null | null | null | quokka/ext/weasyprint.py | yencchen/quokka_epus | d64aeb9c5ca59ee4bdcd84381f9bb0504680f5f5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
import logging
from flask import url_for
logger = logging.getLogger()
try:
from flask_weasyprint import render_pdf
import_error = False
except (ImportError, OSError) as e:
# print("""
# Error importing flask-weasyprint!
# PDF support is temporarily disabled.
# Manual dependencies may need to be installed.
# See,
# `http://weasyprint.org/docs/install/#by-platform`_
# `https://github.com/Kozea/WeasyPrint/issues/79`_
# """ + str(e))
import_error = True
def configure(app):
# only configure .pdf extension if it's enabled
# and configured correctly in the environment.
if app.config.get('ENABLE_TO_PDF', False) and not import_error:
def render_to_pdf(long_slug):
return render_pdf(url_for('detail', long_slug=long_slug))
app.add_url_rule('/<path:long_slug>.pdf', view_func=render_to_pdf)
| 25.756757 | 74 | 0.684155 | 128 | 953 | 4.875 | 0.625 | 0.051282 | 0.035256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003968 | 0.206716 | 953 | 36 | 75 | 26.472222 | 0.821429 | 0.383001 | 0 | 0 | 0 | 0 | 0.069565 | 0.036522 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.571429 | 0.071429 | 0.785714 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
66d0fa4f73c90e59d6dc87d8a6c39b035c3b58f1 | 392 | py | Python | jupyter_server_terminals/__init__.py | blink1073/jupyter_server_terminals | cc0363421ab50fded26c8519ea4694bf1a391fce | [
"BSD-3-Clause-Clear"
] | 3 | 2021-12-30T23:55:47.000Z | 2022-02-18T01:14:54.000Z | jupyter_server_terminals/__init__.py | blink1073/jupyter_server_terminals | cc0363421ab50fded26c8519ea4694bf1a391fce | [
"BSD-3-Clause-Clear"
] | 5 | 2021-12-26T21:27:11.000Z | 2022-03-03T11:37:04.000Z | jupyter_server_terminals/__init__.py | blink1073/jupyter_server_terminals | cc0363421ab50fded26c8519ea4694bf1a391fce | [
"BSD-3-Clause-Clear"
] | 4 | 2021-12-26T21:25:45.000Z | 2022-01-27T02:47:10.000Z | from ._version import __version__ # noqa:F401
try:
from .app import TerminalsExtensionApp
except ModuleNotFoundError:
import warnings
warnings.warn("Could not import submodules")
def _jupyter_server_extension_points(): # pragma: no cover
return [
{
"module": "jupyter_server_terminals.app",
"app": TerminalsExtensionApp,
},
]
| 21.777778 | 59 | 0.663265 | 37 | 392 | 6.72973 | 0.702703 | 0.104418 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010274 | 0.255102 | 392 | 17 | 60 | 23.058824 | 0.842466 | 0.066327 | 0 | 0 | 0 | 0 | 0.176309 | 0.077135 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | true | 0 | 0.307692 | 0.076923 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
dd083d9565ab68711f5686f12e467a2276370bf5 | 188 | py | Python | python_module/numpy_module/numpy_test.py | panc-test/python-study | fb172ed4a4f7fb521de9a005cd55115ad63a5b6d | [
"MIT"
] | 1 | 2021-09-17T09:32:56.000Z | 2021-09-17T09:32:56.000Z | python_module/numpy_module/numpy_test.py | panc-test/python-study | fb172ed4a4f7fb521de9a005cd55115ad63a5b6d | [
"MIT"
] | 2 | 2021-05-11T05:47:13.000Z | 2021-05-11T05:48:10.000Z | python_module/numpy_module/numpy_test.py | panc-test/python-study | fb172ed4a4f7fb521de9a005cd55115ad63a5b6d | [
"MIT"
] | null | null | null | """
numpy模块 —— 数据分析
"""
import numpy
#创建矩阵
array = numpy.array([[1,2,3],[4,5,6]])
print(array,'\n',type(array))
#矩阵维度
print(array.ndim)
#行数和列数
print(array.shape)
#元素个数
print(array.size) | 11.75 | 38 | 0.654255 | 32 | 188 | 3.90625 | 0.6875 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0.106383 | 188 | 16 | 39 | 11.75 | 0.696429 | 0.175532 | 0 | 0 | 0 | 0 | 0.013889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.666667 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
dd093842c9dc2bff582de0e411627f80f0d5bed5 | 305 | py | Python | flask_config.py | khanshifaul/Flask_Template_Skeleton | 951ccb9fc73ff5a2d501f2bc6a742553b8177fc5 | [
"Apache-2.0"
] | null | null | null | flask_config.py | khanshifaul/Flask_Template_Skeleton | 951ccb9fc73ff5a2d501f2bc6a742553b8177fc5 | [
"Apache-2.0"
] | null | null | null | flask_config.py | khanshifaul/Flask_Template_Skeleton | 951ccb9fc73ff5a2d501f2bc6a742553b8177fc5 | [
"Apache-2.0"
] | null | null | null | class Base(object):
DEBUG = False
TESTING = False
class Production(Base):
DEBUG = False
TESTING = False
class Staging(Base):
DEBUG = True
TESTING = False
class Development(Base):
DEBUG = True
TESTING = True
class Testing(Base):
DEBUG = False
TESTING = True
| 12.708333 | 24 | 0.629508 | 35 | 305 | 5.485714 | 0.285714 | 0.1875 | 0.265625 | 0.229167 | 0.28125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.288525 | 305 | 23 | 25 | 13.26087 | 0.884793 | 0 | 0 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd0c981b401b14bcc898b39cf9bb3a7382b0f82e | 1,299 | py | Python | bcs-ui/backend/helm/authtoken/views.py | kayinli/bk-bcs | 93a0856175f7b066ef835921572c1cac590dbd8e | [
"Apache-2.0"
] | 1 | 2021-11-16T08:15:13.000Z | 2021-11-16T08:15:13.000Z | bcs-ui/backend/helm/authtoken/views.py | kayinli/bk-bcs | 93a0856175f7b066ef835921572c1cac590dbd8e | [
"Apache-2.0"
] | null | null | null | bcs-ui/backend/helm/authtoken/views.py | kayinli/bk-bcs | 93a0856175f7b066ef835921572c1cac590dbd8e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://opensource.org/licenses/MIT
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
"""
import logging
from rest_framework import viewsets
from backend.utils.views import ActionSerializerMixin, with_code_wrapper
from .models import Token
from .serializers import TokenSLZ, TokenUpdateSLZ
logger = logging.getLogger(__name__)
@with_code_wrapper
class TokenView(ActionSerializerMixin, viewsets.ModelViewSet):
serializer_class = TokenSLZ
lookup_url_kwarg = "token_id"
action_serializers = {
'update': TokenUpdateSLZ,
}
def get_queryset(self):
return Token.objects.filter(username=self.request.user.username)
| 34.184211 | 115 | 0.779831 | 175 | 1,299 | 5.702857 | 0.697143 | 0.06012 | 0.026052 | 0.032064 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010055 | 0.157814 | 1,299 | 37 | 116 | 35.108108 | 0.902194 | 0.560431 | 0 | 0 | 0 | 0 | 0.024867 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.333333 | 0.066667 | 0.733333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
dd13e1b360546b453646ec337688f0743f83b569 | 3,374 | py | Python | pyrentals/test_pyrentals.py | asm128/pyrentals | 862a0f78d93b18499555dd3c8c1effb7cae9f99b | [
"MIT"
] | null | null | null | pyrentals/test_pyrentals.py | asm128/pyrentals | 862a0f78d93b18499555dd3c8c1effb7cae9f99b | [
"MIT"
] | null | null | null | pyrentals/test_pyrentals.py | asm128/pyrentals | 862a0f78d93b18499555dd3c8c1effb7cae9f99b | [
"MIT"
] | null | null | null | from pyrentals import Cart
import unittest
class Test_test_pyrentals(unittest.TestCase):
def test_method_empty(self):
test_cart_instance = Cart()
test_cart_instance.Rentals = {}
return self.assertTrue(test_cart_instance.empty(), "Cart should be empty when it's just created.")
def test_method_not_empty(self):
test_cart_instance = Cart()
test_rental = {"Type": "Hour", "Time": 2}
test_cart_instance.Rentals = [test_rental, ]
return self.assertFalse(test_cart_instance.empty(), "Cart shouldn't be empty if we just added test_rental.")
def test_calculate_price_empty(self):
test_cart_instance = Cart()
return self.assertEqual(0, test_cart_instance.calculate_price())
def test_price_list(self):
test_cart_instance = Cart()
price_list = {"Hour": 5, "Day": 15, "Month": 60}
test_rental = {"Type": "Day", "Time": 2}
test_cart_instance.Rentals = [test_rental] * 2
output_prices = []
final_price = test_cart_instance.calculate_price(price_list, output_prices)
for price in output_prices:
self.assertEqual(30, price)
self.assertEqual(60, final_price)
return
def test_family_discount(self):
test_cart_instance = Cart()
price_list = {"Hour": 5, "Day": 15, "Month": 60}
test_rental = {"Type": "Day", "Time": 2}
test_cart_instance.Rentals = [test_rental] * 3
output_prices = []
final_price = test_cart_instance.calculate_price(price_list, output_prices)
raw_price = sum([x["Time"] * price_list[x["Type"]] for x in test_cart_instance.Rentals])
self.assertLess(final_price, raw_price)
return self.assertTrue(final_price == raw_price - raw_price * .3)
def test_family_discount_limit(self):
test_cart_instance = Cart()
price_list = {"Hour": 5, "Day": 15, "Month": 60}
test_rental = {"Type": "Day", "Time": 2}
test_cart_instance.Rentals = [test_rental] * 6
output_prices = []
final_price = test_cart_instance.calculate_price(price_list, output_prices)
raw_price = sum([x["Time"] * price_list[x["Type"]] for x in test_cart_instance.Rentals])
return self.assertEqual(final_price, raw_price)
def test_output_prices(self):
test_cart_instance = Cart()
price_list = {"Hour": 5, "Day": 15, "Month": 60}
test_rental = {"Type": "Day", "Time": 2}
test_cart_instance.Rentals = [test_rental] * 3
output_prices = []
final_price = test_cart_instance.calculate_price(price_list, output_prices)
raw_price = sum([x["Time"] * price_list[x["Type"]] for x in test_cart_instance.Rentals])
return self.assertEqual(raw_price, sum(output_prices))
def test_add_rental(self):
test_cart_instance = Cart()
price_list = {"Hour": 5, "Day": 15, "Month": 60}
test_rental = {"Type": "Day", "Time": 2}
for x in range(2):
test_cart_instance.add_rental(test_rental["Type"], test_rental["Time"])
output_prices = []
final_price = test_cart_instance.calculate_price(price_list, output_prices)
for price in output_prices:
self.assertEqual(30, price)
self.assertEqual(60, final_price)
return
if __name__ == '__main__':
unittest.main()
| 43.25641 | 116 | 0.648488 | 439 | 3,374 | 4.651481 | 0.145786 | 0.101861 | 0.203722 | 0.101371 | 0.721841 | 0.682664 | 0.654261 | 0.621939 | 0.60333 | 0.60333 | 0 | 0.017733 | 0.23118 | 3,374 | 77 | 117 | 43.818182 | 0.769468 | 0 | 0 | 0.602941 | 0 | 0 | 0.078245 | 0 | 0 | 0 | 0 | 0 | 0.161765 | 1 | 0.117647 | false | 0 | 0.029412 | 0 | 0.279412 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd1a3f013274c36a04a9e56b4c6a20cb322ded06 | 287 | py | Python | python-safety/predict.py | alexeyinkin/geonames-to-json | 6055d4f3484f859a784aa8b9bfd96682a74fcd1b | [
"MIT"
] | null | null | null | python-safety/predict.py | alexeyinkin/geonames-to-json | 6055d4f3484f859a784aa8b9bfd96682a74fcd1b | [
"MIT"
] | null | null | null | python-safety/predict.py | alexeyinkin/geonames-to-json | 6055d4f3484f859a784aa8b9bfd96682a74fcd1b | [
"MIT"
] | null | null | null | import numpy as np
from model import get_model
def get_trained_model():
model = get_model()
model.load_weights('weights.ckpt')
return model
#model = get_fit_model('random.tsv')
#inputs_raw = [[0,0,0,0,0]]
#inputs_np = np.array(inputs_raw)
#print(model.predict(inputs_np))
| 20.5 | 38 | 0.71777 | 47 | 287 | 4.148936 | 0.468085 | 0.041026 | 0.046154 | 0.041026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020325 | 0.142857 | 287 | 13 | 39 | 22.076923 | 0.772358 | 0.432056 | 0 | 0 | 0 | 0 | 0.075472 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
dd1d14cad8d7b51f2d3997d8681795f2ed9d4e1a | 2,863 | py | Python | server/blog/models.py | rafay826/django-react | 60bd7dcea8bb5c921f80d064e4d16fa34381ae09 | [
"MIT"
] | null | null | null | server/blog/models.py | rafay826/django-react | 60bd7dcea8bb5c921f80d064e4d16fa34381ae09 | [
"MIT"
] | 12 | 2020-06-05T21:17:35.000Z | 2022-03-11T23:49:11.000Z | server/blog/models.py | midasdev711/djudo | 5717ad63b0ef5dddddfd1d3839fa5231ac21972f | [
"MIT"
] | null | null | null | from django.db import models
from django.db.models import permalink
from django.core.urlresolvers import reverse
from comments.models import Comment
# Create your models here.
class PostManager(models.Manager):
def active(self, *args, **kwargs):
return super(PostManager, self)
def upload_location(instance, filename):
#filebase, extension = filename.split(".")
#return "%s/%s.%s" %(instance.id, instance.id, extension)
PostModel = instance.__class__
"""
instance.__class__ gets the model Post. We must use this method because the model is defined below.
Then create a queryset ordered by the "id"s of each object,
Then we get the last object in the queryset with `.last()`
Which will give us the most recently created Model instance
We add 1 to it, so we get what should be the same id as the the post we are creating.
"""
return "static/images/posts/%s" % filename
class Post(models.Model):
id = models.AutoField(primary_key=True)
title = models.CharField(max_length=100, unique=True)
slug = models.SlugField(max_length=100, unique=True)
image = models.ImageField(upload_to=upload_location,
null=True,
blank=True,
width_field="width_field",
height_field="height_field")
image_url = models.CharField(max_length=1000, null=True, blank=True)
height_field = models.IntegerField(default=0)
width_field = models.IntegerField(default=0)
description = models.CharField(max_length=255, blank=True)
body = models.TextField()
published = models.BooleanField(default=True)
created = models.DateTimeField(db_index=True, auto_now_add=True)
category = models.ForeignKey('blog.Category', related_name='posts', on_delete=models.CASCADE)
objects = PostManager()
def __unicode__(self):
return '%s' % self.title
def __str__(self):
return self.title
def get_absolute_url(self):
return reverse("blog.views.post", kwargs={"slug": self.slug})
def get_api_url(self):
return reverse("posts-api:detail", kwargs={"slug": self.slug})
@property
def comments(self):
instance = self
qs = Comment.objects.filter_by_instance(instance)
return qs
class CategoryManager(models.Manager):
def active(self, *args, **kwargs):
return super(CategoryManager, self)
class Category(models.Model):
id = models.AutoField(primary_key=True)
title = models.CharField(max_length=100, db_index=True)
slug = models.SlugField(max_length=100, db_index=True)
class Meta:
verbose_name = ("Category")
verbose_name_plural = ("Categories")
objects = CategoryManager()
def __unicode__(self):
return '%s' % self.title
def get_absolute_url(self):
return reverse('blog.views.post', args=[self.slug]) | 35.7875 | 103 | 0.691233 | 373 | 2,863 | 5.155496 | 0.369973 | 0.028081 | 0.037442 | 0.049922 | 0.298492 | 0.25793 | 0.24857 | 0.212168 | 0.184087 | 0.135205 | 0 | 0.00962 | 0.201188 | 2,863 | 80 | 104 | 35.7875 | 0.83122 | 0.042263 | 0 | 0.178571 | 0 | 0 | 0.059351 | 0.009394 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.071429 | 0.142857 | 0.821429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
dd3452c9bed80f5adb210957aa5ef5db051c0f6c | 301 | py | Python | ml_progress/percent_metric.py | gregrolwes/ml_progress | e352f73847e163993ff9e642973512f070555805 | [
"MIT"
] | null | null | null | ml_progress/percent_metric.py | gregrolwes/ml_progress | e352f73847e163993ff9e642973512f070555805 | [
"MIT"
] | null | null | null | ml_progress/percent_metric.py | gregrolwes/ml_progress | e352f73847e163993ff9e642973512f070555805 | [
"MIT"
] | null | null | null | import sys
from .display import Display
class PercentMetric(Display):
def __init__(self, metric: str):
super().__init__()
self.metric = metric
def update(self, metrics: dict, width=25, height=1):
sys.stdout.write("%s: %3d%% \n" % (self.metric, metrics[self.metric])) | 27.363636 | 78 | 0.644518 | 39 | 301 | 4.769231 | 0.615385 | 0.215054 | 0.150538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016736 | 0.20598 | 301 | 11 | 78 | 27.363636 | 0.761506 | 0 | 0 | 0 | 0 | 0 | 0.039735 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd4db1c506d212f1e3f132f918bc8f782cebb18b | 673 | py | Python | SourceCode/Bayes/bayeslearn.py | xuanyuansen/PyMachineLearning | c5b88c4d9aa2f5d59160d0824f7cee8377e7e16e | [
"Apache-2.0"
] | 1 | 2017-01-17T06:19:33.000Z | 2017-01-17T06:19:33.000Z | SourceCode/Bayes/bayeslearn.py | xuanyuansen/PyMachineLearning | c5b88c4d9aa2f5d59160d0824f7cee8377e7e16e | [
"Apache-2.0"
] | null | null | null | SourceCode/Bayes/bayeslearn.py | xuanyuansen/PyMachineLearning | c5b88c4d9aa2f5d59160d0824f7cee8377e7e16e | [
"Apache-2.0"
] | null | null | null | #coding=utf-8
'''
Created on 2013年9月20日
@author: Wangliaofan
'''
import bayes
import feedparser
from time import *
if __name__== '__main__':
listOPosts,listClasses = bayes.loadDataSet()
print listOPosts,listClasses
myVocabList = bayes.createVocabList(listOPosts)
print myVocabList
trainMat=[]
for postinDoc in listOPosts:
trainMat.append(bayes.setOfWords2Vec(myVocabList, postinDoc))
print trainMat
p0V,p1V,pAb=bayes.trainNB0(trainMat, listClasses)
print p0V
print p1V
print pAb
#ny=feedparser.parse('http://newyork.craigslist.org/stp/index.rss')
#sleep(5)
#print ny['entries']
bayes.spamTest()
pass | 24.035714 | 71 | 0.708767 | 75 | 673 | 6.253333 | 0.613333 | 0.089552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027372 | 0.185736 | 673 | 28 | 72 | 24.035714 | 0.828467 | 0.156018 | 0 | 0 | 0 | 0 | 0.015564 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.055556 | 0.166667 | null | null | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
dd5e767c2f0f3137c08350fa015010541f736e41 | 290 | py | Python | migrations/824-auto-exclude-regions.py | muffinresearch/zamboni | 045a6f07c775b99672af6d9857d295ed02fe5dd9 | [
"BSD-3-Clause"
] | null | null | null | migrations/824-auto-exclude-regions.py | muffinresearch/zamboni | 045a6f07c775b99672af6d9857d295ed02fe5dd9 | [
"BSD-3-Clause"
] | null | null | null | migrations/824-auto-exclude-regions.py | muffinresearch/zamboni | 045a6f07c775b99672af6d9857d295ed02fe5dd9 | [
"BSD-3-Clause"
] | null | null | null | from mkt.constants import regions
from mkt.developers.cron import exclude_new_region
def run():
exclude_new_region([
regions.CR,
regions.EC,
regions.FR,
regions.GT,
regions.IT,
regions.NI,
regions.PA,
regions.SV,
])
| 18.125 | 50 | 0.586207 | 34 | 290 | 4.882353 | 0.588235 | 0.084337 | 0.192771 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.324138 | 290 | 15 | 51 | 19.333333 | 0.846939 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | true | 0 | 0.153846 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd63b219f3cb356db869fd14f9d34da5dd98361a | 463 | py | Python | Constants.py | HKN-UCSD/HIIT | 63f726398ca63c92e82a8052a05608a8537e6e87 | [
"MIT"
] | null | null | null | Constants.py | HKN-UCSD/HIIT | 63f726398ca63c92e82a8052a05608a8537e6e87 | [
"MIT"
] | null | null | null | Constants.py | HKN-UCSD/HIIT | 63f726398ca63c92e82a8052a05608a8537e6e87 | [
"MIT"
] | 1 | 2019-08-18T19:23:44.000Z | 2019-08-18T19:23:44.000Z | COLUMNS = ['First Name', 'Last Name', 'Class Standing', 'Cum GPA', 'Major Code', 'Dept', 'Email']
DEPTS = ['CSE', 'ECE', 'MATH', 'BENG']
CLASS_STANDINGS = ['SO', 'JR', 'SR']
DEPTS_MAJORS = dict() # bit of a faux-pas...
DEPTS_MAJORS['CSE'] = ['CS25', 'CS26', 'CS27', 'CS28']
DEPTS_MAJORS['ECE'] = ['EC26', 'EC27', 'EC28']
DEPTS_MAJORS['MATH'] = ['MA30']
DEPTS_MAJORS['BENG'] = ['BE25', 'BE26', 'BE27', 'BE28']
CLASS_QUANTILE = {'SO': 0.8, 'JR': 0.75, 'SR': 0.667} | 51.444444 | 97 | 0.580994 | 66 | 463 | 3.969697 | 0.681818 | 0.209924 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08209 | 0.131749 | 463 | 9 | 98 | 51.444444 | 0.569652 | 0.043197 | 0 | 0 | 0 | 0 | 0.332579 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd6453c36feaa6225a2781434ed2cbc21f1477e2 | 258 | py | Python | app/admin.py | Syilun/aiot-django-dashboard-postgresql | 3aa607bd623006a4c99a97da304985eb908741c8 | [
"MIT"
] | null | null | null | app/admin.py | Syilun/aiot-django-dashboard-postgresql | 3aa607bd623006a4c99a97da304985eb908741c8 | [
"MIT"
] | null | null | null | app/admin.py | Syilun/aiot-django-dashboard-postgresql | 3aa607bd623006a4c99a97da304985eb908741c8 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
"""
License: MIT
Copyright (c) 2019 - present AppSeed.us
"""
from django.contrib import admin
from .models import PERSON
from .models import FACE
# Register your models here.
admin.site.register(PERSON)
admin.site.register(FACE)
| 17.2 | 39 | 0.728682 | 36 | 258 | 5.222222 | 0.638889 | 0.106383 | 0.170213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022624 | 0.143411 | 258 | 14 | 40 | 18.428571 | 0.828054 | 0.403101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
dd7ea8658ced22af8cde597e98ea9827577d3995 | 343 | py | Python | strings.py | aemreb/telegram_paybot | f973ddd9029f2844901508fa983aa37b6ca93089 | [
"MIT"
] | 2 | 2021-09-17T10:55:14.000Z | 2021-09-17T10:55:38.000Z | strings.py | aemreb/telegram_paybot | f973ddd9029f2844901508fa983aa37b6ca93089 | [
"MIT"
] | null | null | null | strings.py | aemreb/telegram_paybot | f973ddd9029f2844901508fa983aa37b6ca93089 | [
"MIT"
] | 1 | 2021-05-31T18:23:02.000Z | 2021-05-31T18:23:02.000Z | help = '''Hey 👋 \n\n /signup nick: enter your nick and sign up \n\n /atm: see your balance \n\n /send nick amount: send this nick that amount of buxx 💰 \n '''
signup = '''Hi! Type /signup to sign up.'''
user_created = '''Created user. Welcome to Paybot 🤑'''
user_exists = '''User already exists ☹️'''
not_enough_buxx = '''Not enough Buxx 🙄'''
| 57.166667 | 158 | 0.655977 | 61 | 343 | 3.721311 | 0.57377 | 0.026432 | 0.114537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.174927 | 343 | 5 | 159 | 68.6 | 0.780919 | 0 | 0 | 0 | 0 | 0.2 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
dd83de2fe7b5a8905e65a790566a924385cc7b19 | 297 | py | Python | dados/outside/6-JEL_code.py | correia-marcos/Innovation-on-brazilian-economic-research | 98bc677618ec2dff062db42cda7279a5e7065a32 | [
"MIT"
] | null | null | null | dados/outside/6-JEL_code.py | correia-marcos/Innovation-on-brazilian-economic-research | 98bc677618ec2dff062db42cda7279a5e7065a32 | [
"MIT"
] | null | null | null | dados/outside/6-JEL_code.py | correia-marcos/Innovation-on-brazilian-economic-research | 98bc677618ec2dff062db42cda7279a5e7065a32 | [
"MIT"
] | null | null | null | """
This script was made to anaylse the relation between JEL and areas in ANPEC.
The idea is that checking the JEL code of each paper, it can be vizualized
whether some papers were published in area (from ANPEC meeting) not expected
by their JEL code.
"""
import os
import pandas as pd
import
| 22.846154 | 76 | 0.767677 | 52 | 297 | 4.384615 | 0.826923 | 0.061404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195286 | 297 | 12 | 77 | 24.75 | 0.953975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 1 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
dd90daf3764122311fdf88342d48e04ecb1b9e7d | 3,946 | py | Python | editquality/feature_lists/wikitext.py | paulkernfeld/editquality | 029f21278d89d6e50b0eac7b39d8355f8e4686f4 | [
"MIT"
] | 18 | 2015-09-13T10:47:31.000Z | 2018-08-20T15:00:35.000Z | editquality/feature_lists/wikitext.py | paulkernfeld/editquality | 029f21278d89d6e50b0eac7b39d8355f8e4686f4 | [
"MIT"
] | 98 | 2015-12-13T12:18:24.000Z | 2018-08-07T21:10:46.000Z | editquality/feature_lists/wikitext.py | paulkernfeld/editquality | 029f21278d89d6e50b0eac7b39d8355f8e4686f4 | [
"MIT"
] | 17 | 2015-09-29T20:52:12.000Z | 2018-08-20T11:33:30.000Z | from revscoring.features import Feature, wikitext
from revscoring.features.modifiers import div, log, max, sub
def _process_new_longest(p_longest, r_longest):
if r_longest > p_longest:
return r_longest
else:
return 1
parent = [
log(wikitext.revision.parent.chars + 1),
log(wikitext.revision.parent.tokens + 1),
log(wikitext.revision.parent.words + 1),
log(wikitext.revision.parent.uppercase_words + 1),
log(wikitext.revision.parent.headings + 1),
log(wikitext.revision.parent.wikilinks + 1),
log(wikitext.revision.parent.external_links + 1),
log(wikitext.revision.parent.templates + 1),
log(wikitext.revision.parent.ref_tags + 1),
div(wikitext.revision.parent.chars,
max(wikitext.revision.parent.words, 1),
name="revision.parent.chars_per_word"),
div(wikitext.revision.parent.words,
max(wikitext.revision.parent.tokens, 1),
name="revision.parent.words_per_token"),
div(wikitext.revision.parent.uppercase_words,
max(wikitext.revision.parent.words, 1),
name="revision.parent.uppercase_words_per_word"),
div(wikitext.revision.parent.markups,
max(wikitext.revision.parent.tokens, 1),
name="revision.parent.markups_per_token"),
]
diff = [
wikitext.revision.diff.markup_delta_sum,
wikitext.revision.diff.markup_delta_increase,
wikitext.revision.diff.markup_delta_decrease,
wikitext.revision.diff.markup_prop_delta_sum,
wikitext.revision.diff.markup_prop_delta_increase,
wikitext.revision.diff.markup_prop_delta_decrease,
wikitext.revision.diff.number_delta_sum,
wikitext.revision.diff.number_delta_increase,
wikitext.revision.diff.number_delta_decrease,
wikitext.revision.diff.number_prop_delta_sum,
wikitext.revision.diff.number_prop_delta_increase,
wikitext.revision.diff.number_prop_delta_decrease,
wikitext.revision.diff.uppercase_word_delta_sum,
wikitext.revision.diff.uppercase_word_delta_increase,
wikitext.revision.diff.uppercase_word_delta_decrease,
wikitext.revision.diff.uppercase_word_prop_delta_sum,
wikitext.revision.diff.uppercase_word_prop_delta_increase,
wikitext.revision.diff.uppercase_word_prop_delta_decrease,
sub(wikitext.revision.chars,
wikitext.revision.parent.chars,
name="revision.diff.chars_change"),
sub(wikitext.revision.tokens,
wikitext.revision.parent.tokens,
name="revision.diff.tokens_change"),
sub(wikitext.revision.words,
wikitext.revision.parent.words,
name="revision.diff.words_change"),
sub(wikitext.revision.markups,
wikitext.revision.parent.markups,
name="revision.diff.markups_change"),
sub(wikitext.revision.headings,
wikitext.revision.parent.headings,
name="revision.diff.headings_change"),
sub(wikitext.revision.external_links,
wikitext.revision.parent.external_links,
name="revision.diff.external_links_change"),
sub(wikitext.revision.wikilinks,
wikitext.revision.parent.wikilinks,
name="revision.diff.wikilinks_change"),
sub(wikitext.revision.templates,
wikitext.revision.parent.templates,
name="revision.diff.templates_change"),
sub(wikitext.revision.tags,
wikitext.revision.parent.tags,
name="revision.diff.tags_change"),
sub(wikitext.revision.ref_tags,
wikitext.revision.parent.ref_tags,
name="revision.diff.ref_tags_change"),
Feature("revision.diff.longest_new_token",
_process_new_longest, returns=int,
depends_on=[wikitext.revision.parent.longest_token,
wikitext.revision.longest_token]),
Feature("revision.diff.longest_new_repeated_char",
_process_new_longest, returns=int,
depends_on=[wikitext.revision.parent.longest_repeated_char,
wikitext.revision.longest_repeated_char])
]
| 41.978723 | 71 | 0.727826 | 469 | 3,946 | 5.895522 | 0.115139 | 0.34141 | 0.230741 | 0.081374 | 0.560579 | 0.418445 | 0.220976 | 0.118626 | 0.118626 | 0.047016 | 0 | 0.004253 | 0.165737 | 3,946 | 93 | 72 | 42.430108 | 0.835662 | 0 | 0 | 0.068182 | 0 | 0 | 0.123923 | 0.123923 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011364 | false | 0 | 0.022727 | 0 | 0.056818 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
06b3cc12c35c6a81cb3cf69f89310f5caed75723 | 141 | py | Python | config_default.py | wecassidy/pishow | 310f935688e0b3ceeb8fe11bd0fda902c041dd45 | [
"MIT"
] | null | null | null | config_default.py | wecassidy/pishow | 310f935688e0b3ceeb8fe11bd0fda902c041dd45 | [
"MIT"
] | null | null | null | config_default.py | wecassidy/pishow | 310f935688e0b3ceeb8fe11bd0fda902c041dd45 | [
"MIT"
] | null | null | null | IMG_DIR = "/path/to/pictures"
IMG_POLL_RATE = 1 # minute
DWELL_TIME = 5 # seconds
FADE_TIME = 1 # seconds
REFRESH_RATE = 10 # milliseconds
| 17.625 | 32 | 0.723404 | 22 | 141 | 4.363636 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043103 | 0.177305 | 141 | 7 | 33 | 20.142857 | 0.784483 | 0.248227 | 0 | 0 | 0 | 0 | 0.168317 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
06be9a64516dc7d92276fa93579a7f01f96fc979 | 360 | py | Python | QASMToQuEST/errors.py | oerc0122/QASMParser | 701b6f25f498ea67670f2d85ae0f2e6920aea267 | [
"MIT"
] | 5 | 2019-05-10T08:17:57.000Z | 2021-12-19T05:06:18.000Z | QASMToQuEST/errors.py | oerc0122/QASMParser | 701b6f25f498ea67670f2d85ae0f2e6920aea267 | [
"MIT"
] | 14 | 2019-04-11T11:28:08.000Z | 2020-02-13T15:18:56.000Z | QASMToQuEST/errors.py | oerc0122/QASMParser | 701b6f25f498ea67670f2d85ae0f2e6920aea267 | [
"MIT"
] | 2 | 2019-05-10T08:17:23.000Z | 2021-12-18T16:37:02.000Z | """
Define the errors which may occur
"""
langMismatchWarning = "Classical language {} does not match output language {}"
langNotDefWarning = "Language {0} translation not found, check QASMToQuEST/langs/{0}.py exists"
noLangSpecWarning = "No language specified for screen print"
noSpecWarning = "Neither language nor output with recognised language specified"
| 45 | 95 | 0.786111 | 42 | 360 | 6.738095 | 0.785714 | 0.120141 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00639 | 0.130556 | 360 | 7 | 96 | 51.428571 | 0.897764 | 0.091667 | 0 | 0 | 0 | 0 | 0.714734 | 0.075235 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
06cdfe64d4ce6044067a25d0bf7f0ef2fa35cf39 | 240 | py | Python | Home_Work_2_B_Naychuk_Anastasiya/Task2.py | NaychukAnastasiya/goiteens-python3-naychuk | a79d0af238a15f58a822bb5d8e4d48227d4a7bc1 | [
"MIT"
] | null | null | null | Home_Work_2_B_Naychuk_Anastasiya/Task2.py | NaychukAnastasiya/goiteens-python3-naychuk | a79d0af238a15f58a822bb5d8e4d48227d4a7bc1 | [
"MIT"
] | null | null | null | Home_Work_2_B_Naychuk_Anastasiya/Task2.py | NaychukAnastasiya/goiteens-python3-naychuk | a79d0af238a15f58a822bb5d8e4d48227d4a7bc1 | [
"MIT"
] | null | null | null | # y = f(X)
# y = 2*x -10 # x>0
# y = 0# x=0
# y = 2 * abs(x) -1 # x<0
print("Введіть число")
x = float(input())
y = 0
if x > 0:
y = 2*x -10
elif x == 0:
y = 0
else: #x<0
y = 2 * abs(x) -1
print ("y: ",y)
| 13.333333 | 26 | 0.375 | 51 | 240 | 1.764706 | 0.313725 | 0.133333 | 0.166667 | 0.133333 | 0.2 | 0.2 | 0.2 | 0 | 0 | 0 | 0 | 0.131034 | 0.395833 | 240 | 17 | 27 | 14.117647 | 0.489655 | 0.254167 | 0 | 0.2 | 0 | 0 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
06d6a4324acde5c358d0bd6522e052a2ede943db | 423 | py | Python | cookbook/c05/p03_print_sepend.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 3 | 2018-09-19T06:44:13.000Z | 2019-03-24T10:07:07.000Z | cookbook/c05/p03_print_sepend.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 2 | 2020-09-19T17:10:23.000Z | 2020-10-17T16:43:52.000Z | cookbook/c05/p03_print_sepend.py | itpubs/python3-cookbook | 140f5e4cc0416b9674edca7f4c901b1f58fc1415 | [
"Apache-2.0"
] | 1 | 2020-12-22T06:33:18.000Z | 2020-12-22T06:33:18.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
Topic: print分隔符和结尾符
Desc :
"""
def print_sepend():
print('ACME', 50, 91.5)
print('ACME', 50, 91.5, sep=',')
print('ACME', 50, 91.5, sep=',', end='!!\n')
for i in range(5):
print(i)
for i in range(5):
print(i, end=' ')
print()
row = ['ACME', 50, 91.5]
print(*row, sep=',')
if __name__ == '__main__':
print_sepend()
| 17.625 | 48 | 0.501182 | 61 | 423 | 3.311475 | 0.459016 | 0.118812 | 0.158416 | 0.178218 | 0.485149 | 0.346535 | 0.178218 | 0 | 0 | 0 | 0 | 0.073248 | 0.257683 | 423 | 23 | 49 | 18.391304 | 0.570064 | 0.170213 | 0 | 0.153846 | 0 | 0 | 0.093842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.076923 | 0.692308 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
06db5fed30a40e13ffe36a7460de36bf7c61b325 | 655 | py | Python | monthlysal.py | aja512/Python-Lab | 8f9c57d6d7f835e31a595223cdddf9c52ebe1cc9 | [
"Apache-2.0"
] | null | null | null | monthlysal.py | aja512/Python-Lab | 8f9c57d6d7f835e31a595223cdddf9c52ebe1cc9 | [
"Apache-2.0"
] | null | null | null | monthlysal.py | aja512/Python-Lab | 8f9c57d6d7f835e31a595223cdddf9c52ebe1cc9 | [
"Apache-2.0"
] | null | null | null | bs=input("Enter basic salary:")
days=input("Enter no. of working days:")
ovrti=input("Enter no. of overtime working hrs:")
deduct=0
if days<6:
deduct=3500
salary=calci(bs,days,ovrti,deduct)
elif days>=6 and days<=12:
deduct=1000
salary= calci(bs,days,ovrti,deduct)
elif days>=13 and days<=18:
deduct=800
salary=calci(bs,days,ovrti,deduct)
else:
deduct=0
salary=calci(bs,days,ovrti,deduct)
def calci(bs,days,ovrti,deduct):
sal=0
emp=str(input('Enter type of Employee:'))
if emp=='Permanent':
bonus=22500
sal=bs+ovrti*500+bonus-deduct
print(sal)
else:
bonus=2500
sal=bs+ovrti*500+bonus-deduct
print(sal)
| 22.586207 | 49 | 0.690076 | 109 | 655 | 4.146789 | 0.348624 | 0.119469 | 0.121681 | 0.176991 | 0.473451 | 0.424779 | 0.300885 | 0.300885 | 0 | 0 | 0 | 0.067151 | 0.158779 | 655 | 28 | 50 | 23.392857 | 0.753176 | 0 | 0 | 0.444444 | 0 | 0 | 0.169466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
06e980c4f9e4c64a9ff9ed3aae6e787174a3969c | 193 | py | Python | College grade 2/Python 3/Lab_2/Ansel/exercise 1.py | SimonH19009/Lzu_Data-science | bd35c5e156b0db21c3585c11dce15fba0b7003e2 | [
"MIT"
] | 1 | 2022-03-06T05:30:44.000Z | 2022-03-06T05:30:44.000Z | College grade 2/Python 3/Lab_2/Ansel/exercise 1.py | SimonH19009/Lzu_Data-science | bd35c5e156b0db21c3585c11dce15fba0b7003e2 | [
"MIT"
] | null | null | null | College grade 2/Python 3/Lab_2/Ansel/exercise 1.py | SimonH19009/Lzu_Data-science | bd35c5e156b0db21c3585c11dce15fba0b7003e2 | [
"MIT"
] | 1 | 2022-03-06T06:07:40.000Z | 2022-03-06T06:07:40.000Z | try:
a=int(input("Please enter a number:"))
if 9<a<100:
a = str(a)
print(a[0])
print(a[1])
else:
print("no correct")
except:
print("no correct")
| 17.545455 | 42 | 0.487047 | 29 | 193 | 3.241379 | 0.62069 | 0.12766 | 0.297872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047244 | 0.341969 | 193 | 10 | 43 | 19.3 | 0.692913 | 0 | 0 | 0.2 | 0 | 0 | 0.217617 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
06f25df0cac2fd1a3b4a6fa7c42cbde635e84014 | 1,131 | py | Python | hypothesis/nn/neuromodulation/base.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 45 | 2019-02-13T14:16:35.000Z | 2022-02-23T21:30:02.000Z | hypothesis/nn/neuromodulation/base.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 1 | 2020-01-13T08:29:50.000Z | 2020-01-22T10:28:02.000Z | hypothesis/nn/neuromodulation/base.py | boyali/hypothesis-sre | f44d25eb281d49663d49d134ee73ad542849714b | [
"BSD-3-Clause"
] | 8 | 2019-04-23T14:25:08.000Z | 2021-07-28T15:05:31.000Z | import hypothesis
import torch
from hypothesis.nn.util import list_modules_with_type
def allocate_neuromodulated_activation(activation, allocator):
class LambdaNeuromodulatedActivation(BaseNeuromodulatedModule):
def __init__(self):
super(LambdaNeuromodulatedActivation, self).__init__(
controller=allocator(),
activation=activation)
return LambdaNeuromodulatedActivation
def list_neuromodulated_modules(module):
desired_type = BaseNeuromodulatedModule
return list_modules_with_type(module, desired_type)
class BaseNeuromodulatedModule(torch.nn.Module):
def __init__(self, controller, activation=hypothesis.default.activation, **kwargs):
super(BaseNeuromodulatedModule, self).__init__()
self.activation = activation(**kwargs)
self.bias = torch.randn(1, 1)
self.controller = controller
def forward(self, x, context=None):
if context is not None:
self.update(context)
return self.activation(x + self.bias)
def update(self, context):
self.bias = self.controller(context)
| 26.928571 | 87 | 0.715296 | 111 | 1,131 | 7.036036 | 0.342342 | 0.076825 | 0.038412 | 0.048656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002225 | 0.205128 | 1,131 | 41 | 88 | 27.585366 | 0.866518 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.12 | 0 | 0.56 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
06fe538ead84c59a5f996694a885042a2b6cbe93 | 822 | py | Python | rocketchat_API/APISections/subscriptions.py | dudanogueira/rocketchat_API | 190952f07ce04a356c79ad29e9d1e01dea620ba6 | [
"MIT"
] | 210 | 2017-03-20T13:36:24.000Z | 2022-03-30T17:37:02.000Z | rocketchat_API/APISections/subscriptions.py | dudanogueira/rocketchat_API | 190952f07ce04a356c79ad29e9d1e01dea620ba6 | [
"MIT"
] | 144 | 2017-03-21T13:50:22.000Z | 2022-03-28T09:43:26.000Z | rocketchat_API/APISections/subscriptions.py | dudanogueira/rocketchat_API | 190952f07ce04a356c79ad29e9d1e01dea620ba6 | [
"MIT"
] | 103 | 2017-03-20T13:54:54.000Z | 2022-03-22T05:00:18.000Z | from rocketchat_API.APISections.base import RocketChatBase
class RocketChatSubscriptions(RocketChatBase):
def subscriptions_get(self, **kwargs):
"""Get all subscriptions."""
return self.call_api_get("subscriptions.get", kwargs=kwargs)
def subscriptions_get_one(self, room_id, **kwargs):
"""Get the subscription by room id."""
return self.call_api_get("subscriptions.getOne", roomId=room_id, kwargs=kwargs)
def subscriptions_unread(self, room_id, **kwargs):
"""Mark messages as unread by roomId or from a message"""
return self.call_api_post("subscriptions.unread", roomId=room_id, kwargs=kwargs)
def subscriptions_read(self, rid, **kwargs):
"""Mark room as read"""
return self.call_api_post("subscriptions.read", rid=rid, kwargs=kwargs)
| 41.1 | 88 | 0.708029 | 103 | 822 | 5.475728 | 0.339806 | 0.053191 | 0.099291 | 0.120567 | 0.379433 | 0.379433 | 0.141844 | 0 | 0 | 0 | 0 | 0 | 0.175182 | 822 | 19 | 89 | 43.263158 | 0.831858 | 0.152068 | 0 | 0 | 0 | 0 | 0.110947 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
06fefeedf2e0b5eb6fdb9935285ddf733447d30c | 1,081 | py | Python | accounts/models.py | Phist0ne/webvirtcloud | d94ca38e5c8b5bb1323d33067ee6b991775cc390 | [
"Apache-2.0"
] | 2 | 2018-03-14T09:46:49.000Z | 2019-05-14T11:45:14.000Z | accounts/models.py | JamesLinus/webvirtcloud | d94ca38e5c8b5bb1323d33067ee6b991775cc390 | [
"Apache-2.0"
] | 1 | 2018-03-01T04:05:25.000Z | 2018-10-01T08:30:00.000Z | accounts/models.py | caicloud/webvirtcloud | d94ca38e5c8b5bb1323d33067ee6b991775cc390 | [
"Apache-2.0"
] | 1 | 2019-06-11T19:54:08.000Z | 2019-06-11T19:54:08.000Z | from django.db import models
from django.contrib.auth.models import User
from instances.models import Instance
class UserInstance(models.Model):
user = models.ForeignKey(User)
instance = models.ForeignKey(Instance)
is_change = models.BooleanField(default=False)
is_delete = models.BooleanField(default=False)
is_vnc = models.BooleanField(default=False)
def __unicode__(self):
return self.instance.name
class UserSSHKey(models.Model):
user = models.ForeignKey(User)
keyname = models.CharField(max_length=25)
keypublic = models.CharField(max_length=500)
def __unicode__(self):
return self.keyname
class UserAttributes(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
can_clone_instances = models.BooleanField(default=False)
max_instances = models.IntegerField(default=1)
max_cpus = models.IntegerField(default=1)
max_memory = models.IntegerField(default=2048)
max_disk_size = models.IntegerField(default=20)
def __unicode__(self):
return self.user.username
| 30.885714 | 63 | 0.747456 | 131 | 1,081 | 5.977099 | 0.374046 | 0.091954 | 0.127714 | 0.153257 | 0.337165 | 0.0894 | 0 | 0 | 0 | 0 | 0 | 0.014317 | 0.160037 | 1,081 | 34 | 64 | 31.794118 | 0.848018 | 0 | 0 | 0.192308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.115385 | 0.115385 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
6603d02ce7ae8ff687520b5fd3b5f402880ef876 | 1,616 | py | Python | tginviter/storage/base_storage.py | cuamckuu/tg-inviter | 80b8d4664d1e2628b46ac1a6d58f8495c408d4b4 | [
"MIT"
] | 20 | 2020-08-24T19:11:38.000Z | 2022-03-17T19:24:50.000Z | tginviter/storage/base_storage.py | bequirky12/tg-inviter | 5cad1bc1afce101be03a2cee805931e77b7f6842 | [
"MIT"
] | null | null | null | tginviter/storage/base_storage.py | bequirky12/tg-inviter | 5cad1bc1afce101be03a2cee805931e77b7f6842 | [
"MIT"
] | 8 | 2021-02-05T11:51:21.000Z | 2022-03-22T08:48:44.000Z | import abc
from typing import AbstractSet
class BaseStorage(abc.ABC):
"""Abstract base class for storing invite link tokens"""
def insert(self, token: str, *, payload: dict, max_uses=1):
"""Insert token to storage. Shoud call super().insert(...)"""
if type(payload) != dict:
raise TypeError("Only dict payloads supported")
if any([x not in payload for x in ["joinchat_key", "channel_id"]]):
raise ValueError("Payload requires channel_id and joinchat_key")
if type(payload["channel_id"]) != int:
raise TypeError("Value of 'channel_id' should be int")
if type(payload["joinchat_key"]) != str:
raise TypeError("Value of 'joinchat_key' should be str")
@abc.abstractmethod
def uses_left(self, token: str) -> int:
"""Return amount of unused invitations for token"""
pass
@abc.abstractmethod
def count_new_use(self, token: str):
"""Increase token usages count"""
pass
@abc.abstractmethod
def get_payload(self, token: str) -> dict:
"""Return payload assosciated with given token"""
pass
@abc.abstractmethod
def get_channel_ids(self) -> AbstractSet[int]:
"""Return set of all inserted channel_ids"""
pass
@abc.abstractmethod
def is_subscribed(self, channel_id: int, user_id: int) -> bool:
"""Check if user is in channel's whitelist"""
pass
@abc.abstractmethod
def add_subscription(self, channel_id: int, user_id: int):
"""Subscribe user to be in channel whitelist"""
pass
| 31.076923 | 76 | 0.631188 | 204 | 1,616 | 4.892157 | 0.401961 | 0.054108 | 0.12024 | 0.12024 | 0.138277 | 0.0501 | 0.0501 | 0 | 0 | 0 | 0 | 0.000832 | 0.256188 | 1,616 | 51 | 77 | 31.686275 | 0.829451 | 0.21349 | 0 | 0.4 | 0 | 0 | 0.152846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.233333 | false | 0.2 | 0.066667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
6604fb1cbe01eb3c82eaa8f6e34b1bd3c2c37677 | 359 | py | Python | app/api/v1/__init__.py | Ethan-Ceng/Flask-CMS | 2fe2664e9ae60affe277e9c3b50c18a2e32e422b | [
"MIT"
] | null | null | null | app/api/v1/__init__.py | Ethan-Ceng/Flask-CMS | 2fe2664e9ae60affe277e9c3b50c18a2e32e422b | [
"MIT"
] | null | null | null | app/api/v1/__init__.py | Ethan-Ceng/Flask-CMS | 2fe2664e9ae60affe277e9c3b50c18a2e32e422b | [
"MIT"
] | null | null | null | from flask import Blueprint
from app.api.v1 import user, book, client, token
def create_blueprint():
bp_v1 = Blueprint('v1', __name__)
user.api.register(bp_v1, url_prefix='/client')
user.api.register(bp_v1, url_prefix='/user')
book.api.register(bp_v1, url_prefix='/book')
book.api.register(bp_v1, url_prefix='/token')
return bp_v1
| 25.642857 | 50 | 0.707521 | 56 | 359 | 4.267857 | 0.339286 | 0.100418 | 0.217573 | 0.251046 | 0.468619 | 0.468619 | 0.468619 | 0 | 0 | 0 | 0 | 0.026316 | 0.153203 | 359 | 13 | 51 | 27.615385 | 0.759868 | 0 | 0 | 0 | 0 | 0 | 0.069638 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 0.333333 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
660ac2d8937432f3e9a4b2a9a74404def921da17 | 132 | py | Python | lab2_typyOperacje/2.15.py | Damian9449/Python | dc9091e15356733821bbb6a768b7d5e428640340 | [
"MIT"
] | 1 | 2017-11-15T13:03:40.000Z | 2017-11-15T13:03:40.000Z | lab2_typyOperacje/2.15.py | Damian9449/Python | dc9091e15356733821bbb6a768b7d5e428640340 | [
"MIT"
] | null | null | null | lab2_typyOperacje/2.15.py | Damian9449/Python | dc9091e15356733821bbb6a768b7d5e428640340 | [
"MIT"
] | null | null | null | #!/usr/bin/python
L = [1, 3, 6, 77, 34, 45, 26, 81]
result = ""
for number in L:
result = result + str(number)
print(result)
| 13.2 | 33 | 0.575758 | 23 | 132 | 3.304348 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128713 | 0.234848 | 132 | 9 | 34 | 14.666667 | 0.623762 | 0.121212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66160d3954e8f1108b126460356e2b0740e00e9e | 2,055 | py | Python | create_db.py | vladstorm98/TaskBoard | ebe4244cc5cbdfda2fdaac84c0158692f440517c | [
"MIT"
] | null | null | null | create_db.py | vladstorm98/TaskBoard | ebe4244cc5cbdfda2fdaac84c0158692f440517c | [
"MIT"
] | null | null | null | create_db.py | vladstorm98/TaskBoard | ebe4244cc5cbdfda2fdaac84c0158692f440517c | [
"MIT"
] | null | null | null | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import Config
app = Flask(__name__)
app.config.from_object(Config)
db = SQLAlchemy(app)
class User(db.Model):
__tablename__ = 'user'
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String(128), index=True, unique=True)
password_hash = db.Column(db.String(128))
last_seen = db.Column(db.DateTime)
profile = db.relationship('Profile', backref='user', lazy='dynamic')
class Profile(db.Model):
__tablename__ = 'profile'
id = db.Column(db.Integer, primary_key=True)
first_name = db.Column(db.String(64), index=True)
last_name = db.Column(db.String(64), index=True)
number = db.Column(db.Integer)
price = db.Column(db.String(32))
address = db.Column(db.String(128), index=True)
about_client = db.Column(db.String(256))
last_order = db.Column(db.String(32))
user_id = db.Column(db.Integer, db.ForeignKey('user.id'))
tasks = db.relationship('Task', backref='client', lazy='dynamic')
class Task(db.Model):
__tablename__ = 'task'
__searchable__ = ['title', 'address', 'note', 'price']
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(32))
name = db.Column(db.String(128))
address = db.Column(db.String(128))
note = db.Column(db.String(512))
price = db.Column(db.String(32))
date = db.Column(db.String(32))
in_progress = db.Column(db.Boolean)
client_id = db.Column(db.Integer, db.ForeignKey('profile.id'))
db.create_all()
db.session.commit()
# from flask import Flask
# from flask_babel import Babel
# from flask_babel import format_datetime
# from datetime import datetime
# from flask import render_template
#
# ap = Flask(__name__)
# babel = Babel(ap)
#
# @ap.route('/', methods=['GET'])
# def index():
# f = format_datetime(datetime(1987, 3, 5, 17, 12), 'EEEE, d. MMMM yyyy H:mm')
#
# print(f)
# return render_template('1')
#
#
# ap.run()
| 29.357143 | 83 | 0.654988 | 288 | 2,055 | 4.517361 | 0.291667 | 0.135281 | 0.169101 | 0.172175 | 0.399693 | 0.325903 | 0.21445 | 0.123751 | 0 | 0 | 0 | 0.027744 | 0.193187 | 2,055 | 69 | 84 | 29.782609 | 0.756936 | 0.182968 | 0 | 0.128205 | 0 | 0 | 0.055311 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.025641 | 0.076923 | 0 | 0.871795 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
661950464dde57e4e6f43aa2be8e46d0304ef9f0 | 797 | py | Python | vid 18 dream logo.py | agneay/turtle-projects | 88f7de0c8eb1bb0f37255746c3d11b9c272d1c10 | [
"MIT"
] | null | null | null | vid 18 dream logo.py | agneay/turtle-projects | 88f7de0c8eb1bb0f37255746c3d11b9c272d1c10 | [
"MIT"
] | null | null | null | vid 18 dream logo.py | agneay/turtle-projects | 88f7de0c8eb1bb0f37255746c3d11b9c272d1c10 | [
"MIT"
] | null | null | null | from turtle import *
def l(y,x):
lt(y)
fd(x)
def r(y,x):
rt(y)
fd(x)
def gt(x,y):
pu()
goto(x,y)
pd()
bgcolor("lime")
color("black","white")
shape("circle")
ht()
speed(1)
width(15)
gt(-365,-380)
begin_fill()
seth(90)
fd(20)
r(5,20)
r(4,60)
r(5,100)
r(5,120)
l(85,50)
r(10,25)
r(15,10)
r(15,40)
r(15,50)
r(10,90)
r(20,50)
r(20,25)
r(10,75)
r(30,20)
r(10,10)
l(30,50)
r(15,10)
r(10,20)
r(10,80)
r(10,40)
for _ in range(7):
r(10,30)
r(10,80)
r(20,35)
l(30,150)
for _ in range(3):
r(5,150)
end_fill()
gt(-290,-70)
l(90,30)
l(10,120)
l(15,60)
l(10,30)
l(5,40)
l(10,40)
gt(-320,50)
r(70,30)
l(10,30)
l(15,30)
l(5,60)
l(5,60)
l(15,40)
r(10,20)
l(20,35)
color("black")
gt(-50,170)
stamp()
gt(-340,135)
stamp()
gt(40,-115)
write("dream", font = ('Arial', 85, 'italic','bold'))
done() | 9.16092 | 53 | 0.567127 | 203 | 797 | 2.206897 | 0.344828 | 0.066964 | 0.017857 | 0.03125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.286131 | 0.140527 | 797 | 87 | 54 | 9.16092 | 0.367883 | 0 | 0 | 0.191781 | 0 | 0 | 0.056391 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041096 | false | 0 | 0.013699 | 0 | 0.054795 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
662106942718d48504f32ad0e27db934931029d3 | 19,428 | py | Python | tests/adapters/test_s3_adapter.py | MonolithAILtd/monolith-filemanager | 2369e244e4d8a48890f55d00419a83001a5c6c40 | [
"Apache-2.0"
] | 3 | 2021-06-02T09:45:00.000Z | 2022-02-01T14:30:01.000Z | tests/adapters/test_s3_adapter.py | MonolithAILtd/monolith-filemanager | 2369e244e4d8a48890f55d00419a83001a5c6c40 | [
"Apache-2.0"
] | 3 | 2021-05-26T11:46:28.000Z | 2021-11-04T10:14:42.000Z | tests/adapters/test_s3_adapter.py | MonolithAILtd/monolith-filemanager | 2369e244e4d8a48890f55d00419a83001a5c6c40 | [
"Apache-2.0"
] | 2 | 2021-06-04T15:02:14.000Z | 2021-09-03T09:26:45.000Z | from unittest import TestCase, main
from unittest.mock import patch, MagicMock, call
from monolith_filemanager.adapters.s3_processes import S3ProcessesAdapter, S3ProcessesAdapterError
class TestS3ProcessesAdapter(TestCase):
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def setUp(self, mock_init) -> None:
mock_init.return_value = None
self.test_file = S3ProcessesAdapter(file_path="mock/folder/test.xlsx")
self.test_file.path = "mock/folder/test.xlsx"
self.test_folder = S3ProcessesAdapter(file_path="mock/folder/path")
self.test_folder.path = "mock/folder/path"
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter._strip_path_slash")
@patch("monolith_filemanager.adapters.s3_processes.V1Engine")
@patch("monolith_filemanager.adapters.s3_processes.Base.__init__")
def test___init__(self, mock_init, mock_engine, mock_strip_path_slash):
mock_init.return_value = None
mock_strip_path_slash.return_value = None
test = S3ProcessesAdapter(file_path="test")
mock_init.assert_called_once_with(file_path="test")
mock_engine.assert_called_once_with()
self.assertEqual(mock_engine.return_value, test._engine)
mock_strip_path_slash.assert_called_once_with()
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_local_file_object(self, mock_init):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path="test path")
test.file_types = MagicMock()
test.path = MagicMock()
out_come = test.local_file_object()
test.file_types.get_file.assert_called_once_with(file_path=test.path)
test.file_types.get_file.return_value.assert_called_once_with(path=test.path)
self.assertEqual(test.file_types.get_file.return_value.return_value, out_come)
@patch("monolith_filemanager.adapters.s3_processes.FilePath")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.local_file_object")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_read_file(self, mock_init, mock_local_file_object, mock_file_path):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path=MagicMock())
test.path = MagicMock()
test._cache = MagicMock()
test._pickle_factory = MagicMock()
test._engine = MagicMock()
test.file_types = MagicMock()
test.path.file_type = "pickle"
with self.assertRaises(S3ProcessesAdapterError):
test.read_file()
test.path.file_type = "not pickle"
second_cached_path = test.path.to_string.return_value
second_out_come = test.read_file()
test._cache.create_cache.assert_called_once_with()
test._engine.download_data_file.assert_called_once_with(storage_path=second_cached_path,
file_path=test._cache.cache_path)
mock_local_file_object.return_value.read.assert_called_once_with()
mock_file_path.assert_called_once_with(test._engine.download_data_file.return_value)
self.assertEqual(mock_file_path.return_value, test.path)
self.assertEqual(mock_local_file_object.return_value.read.return_value, second_out_come)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_read_raw_file(self, mock_init):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path=MagicMock())
test.path = MagicMock()
test._engine = MagicMock()
out_come = test.read_raw_file()
test._engine.download_raw_data_file.assert_called_once_with(storage_path=test.path.to_string.return_value)
self.assertEqual(out_come, test._engine.download_raw_data_file.return_value)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_custom_read_file(self, mock_init):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path="test path")
test.path = MagicMock()
test._cache = MagicMock()
test._engine = MagicMock()
test.file_types = MagicMock()
test.path.file_type = "any"
source_path = test.path
custom_read_function = MagicMock(name='read function')
data_output = MagicMock(name='data')
custom_read_function.return_value = data_output
out_come = test.custom_read_file(custom_read_function)
test._cache.create_cache.assert_called_once_with()
test._engine.download_data_file.assert_called_once_with(storage_path=source_path,
file_path=test._cache.cache_path)
self.assertEqual(test._engine.download_data_file.return_value, test.path)
custom_read_function.assert_called_once_with(test.path)
self.assertEqual(out_come, data_output)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.local_file_object")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_write_file_supports_s3(self, mock_init, mock_local_file_object):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path=MagicMock())
test._engine = MagicMock()
test.path = MagicMock()
mock_local_file_object.return_value.supports_s3.return_value = True
mock_data = MagicMock()
test.write_file(data=mock_data)
mock_local_file_object.return_value.write.assert_called_once_with(mock_data)
@patch("monolith_filemanager.adapters.s3_processes.FilePath")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.local_file_object")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_write_file_not_supports_s3(self, mock_init, mock_local_file_object, mock_file_path):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path=MagicMock())
test._engine = MagicMock()
test.path = MagicMock()
test._cache = MagicMock()
mock_local_file_object.return_value.supports_s3.return_value = False
mock_local_file_object.return_value.path = test.path
mock_data = MagicMock()
test.write_file(data=mock_data)
test._engine.upload_data_from_file.assert_called_once_with(file_path=mock_file_path.return_value.to_string.return_value, storage_path=test.path.to_string.return_value)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_write_raw_file(self, mock_init):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path=MagicMock())
test._engine = MagicMock()
test.path = MagicMock()
mock_data = MagicMock()
test.write_raw_file(data=mock_data)
test._engine.upload_data.assert_called_once_with(storage_path=test.path.to_string.return_value, data=mock_data)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_delete_file(self, mock_init):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path="test path")
test._engine = MagicMock()
test.path = MagicMock()
test.delete_file()
test._engine.delete.assert_called_once_with(storage_path=test.path)
@patch("monolith_filemanager.adapters.s3_processes.V1Engine._split_s3_path")
def test_delete_folder(self, mock_split_path):
mock_engine = MagicMock()
mock_engine.delete_file.return_value = None
self.test_folder._engine = mock_engine
mock_split_path.return_value = ("mock-bucket", "mock/folder", "folder")
self.test_folder.delete_folder()
mock_engine.delete_file.assert_called_once_with(bucket_name="mock-bucket", file_name="mock/folder/")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.increment_files")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.exists")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.check_name_taken")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.ls")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_write_stream(self, mock_init, mock_ls, mock_name_taken, mock_exists, mock_increment_files):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path=MagicMock())
test._engine = MagicMock()
test.path = "mock/folder/file.txt"
test._cache = MagicMock()
mock_ls.return_value = ([], [])
mock_stream = MagicMock()
# test name already taken
mock_name_taken.return_value = True
with self.assertRaises(S3ProcessesAdapterError):
test.write_stream(mock_stream)
mock_stream.save.assert_called_once()
# test already exists
mock_stream.reset_mock()
mock_name_taken.return_value = False
mock_exists.return_value = True
mock_increment_files.return_value = None
self.assertEqual("file.txt", test.write_stream(mock_stream))
cache_path = mock_stream.save.call_args_list[0][0][0]
test._engine.upload_data_from_file.assert_called_once_with(storage_path=test.path, file_path=cache_path)
mock_increment_files.assert_called_once_with()
mock_stream.save.assert_called_once()
# test doesn't already exist
mock_stream.reset_mock()
test._engine.reset_mock()
mock_increment_files.reset_mock()
mock_exists.return_value = False
self.assertEqual("file.txt", test.write_stream(mock_stream))
mock_stream.save.assert_called_once()
cache_path = mock_stream.save.call_args_list[0][0][0]
test._engine.upload_data_from_file.assert_called_once_with(storage_path=test.path, file_path=cache_path)
mock_increment_files.assert_has_calls = []
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.exists")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_increment_files(self, mock_init, mock_exists):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path=MagicMock())
test.path = "mock/path/folder/file.txt"
mock_exists.return_value = False
test.increment_files()
self.assertEqual("mock/path/folder/file 2.txt", test.path)
test.path = "mock/path/folder/file.txt"
mock_exists.side_effect = [True, False]
test.increment_files()
self.assertEqual("mock/path/folder/file 3.txt", test.path)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_create_directory_if_not_exists(self, mock_init):
mock_init.return_value = None
mock_path = MagicMock()
test = S3ProcessesAdapter(file_path=mock_path)
test._engine = MagicMock()
test.path = mock_path
test.create_directory_if_not_exists()
test._engine.create_folder.assert_called_once_with(storage_path=mock_path)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_exists(self, mock_init):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path="test path")
test._engine = MagicMock()
test.path = MagicMock()
test.exists()
test._engine.exists.assert_called_once_with(storage_path=test.path)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_ls(self, mock_init):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path="test path")
test._engine = MagicMock()
test.path = MagicMock()
test.ls()
test._engine.ls.assert_called_once_with(storage_path=test.path.to_string.return_value)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.delete_file")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test_batch_delete(self, mock_init, mock_delete_file):
mock_init.return_value = None
test = S3ProcessesAdapter(file_path="test/path")
test.path = "test/path"
test.path = "mock/folder/path"
mock_paths = ["mock_folder", "mock_file"]
mock_delete_file.side_effect = [None, None]
test.batch_delete(paths=mock_paths)
mock_delete_file.assert_has_calls = [call(path=test.path + mock_paths[0]),
call(path=test.path + mock_paths[1])]
def test_copy_file(self):
mock_new_path = "mock/new/path"
mock_engine = MagicMock()
mock_engine._split_s3_path.side_effect = [("mock-bucket", "old/file.txt", None),
("mock-bucket", "new/file.txt", None)]
mockObject = MagicMock()
mockObject.copy_from.return_value = None
mock_engine.resource.Object.return_value = mockObject
self.test_file._engine = mock_engine
self.test_file.copy_file(mock_new_path)
mock_engine._split_s3_path.assert_has_calls = [call(self.test_file.path), call(mock_new_path)]
mockObject.copy_from.assert_called_once_with(CopySource="mock-bucket/old/file.txt")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.delete_file")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.copy_file")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.check_name_taken")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.exists")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.ls")
@patch("monolith_filemanager.adapters.s3_processes.FilePath")
def test_rename_file(self, mock_filepath, mock_ls, mock_exists, mock_check_name_taken, mock_copy_file,
mock_delete_file):
new_name = "new_name"
mock_ext = ".xlsx"
mock_filepath.side_effect = ["/".join(self.test_file.path.split("/")[:-1]) + f"/{new_name}" + mock_ext,
"/".join(self.test_file.path.split("/")[:-1]) + "/"]
mock_ls.return_value = ({}, [])
mock_exists.return_value = True
mock_check_name_taken.return_value = False
mock_copy_file.return_value = None
mock_delete_file.return_value = None
self.test_file.rename_file(new_name=new_name)
mock_ls.assert_called_once_with(path="mock/folder/")
mock_copy_file.assert_called_once_with(new_path='mock/folder/new_name.xlsx')
mock_delete_file.assert_called_once_with()
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.delete_folder")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.copy_folder")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.exists")
@patch("monolith_filemanager.adapters.s3_processes.FilePath")
def test_rename_folder(self, mock_filepath, mock_exists, mock_copy_folder, mock_delete_folder):
new_name = "new_folder"
mock_filepath.return_value = "/".join(self.test_folder.path.split("/")[:-1]) + f"/{new_name}"
mock_exists.return_value = False
mock_copy_folder.return_value = None
mock_delete_folder.return_value = None
self.test_folder.rename_folder(new_name=new_name)
mock_copy_folder.assert_called_once_with(new_folder=f"mock/folder/{new_name}")
mock_delete_folder.assert_called_once_with()
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.delete_file")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.copy_file")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.exists")
@patch("monolith_filemanager.adapters.s3_processes.FilePath")
def test_move_file(self, mock_filepath, mock_exists, mock_copy_file, mock_delete_file):
mock_destination_folder = "mock/new/path"
mock_filepath.return_value = "mock/new/path/file.txt"
mock_exists.return_value = False
self.test_file.move_file(destination_folder=mock_destination_folder)
mock_copy_file.assert_called_once_with(new_path=mock_filepath.return_value)
mock_delete_file.assert_called_once_with()
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.delete_folder")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.copy_folder")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.exists")
@patch("monolith_filemanager.adapters.s3_processes.FilePath")
def test_move_folder(self, mock_filepath, mock_exists, mock_copy_folder, mock_delete_folder):
mock_destination_folder = "mock/new/path"
mock_filepath.return_value = "mock/new/path/folder"
mock_exists.return_value = False
self.test_folder.move_folder(destination_folder=mock_destination_folder)
mock_copy_folder.assert_called_once_with(new_folder=mock_filepath.return_value)
mock_delete_folder.assert_called_once_with()
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.move_folder")
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.move_file")
@patch("monolith_filemanager.adapters.s3_processes.FilePath")
def test_batch_move(self, mock_filepath, mock_move_file, mock_move_folder):
mock_paths = ["test.xlsx", "test_folder"]
mock_destination_folder = "mock/destination/folder"
mock_filepath1 = MagicMock()
mock_filepath1.to_string.return_value = f"{mock_destination_folder}/{mock_paths[0]}"
mock_filepath1.get_file_type.return_value = "xlsx"
mock_filepath2 = MagicMock()
mock_filepath2.to_string.return_value = f"{mock_destination_folder}/{mock_paths[1]}"
mock_filepath2.get_file_type.return_value = None
mock_filepath.side_effect = [mock_filepath1, None, mock_filepath2, None]
mock_move_file.return_value = None
mock_move_folder.return_value = None
self.test_folder.batch_move(paths=mock_paths, destination_folder=mock_destination_folder)
mock_filepath.assert_has_calls([call(f"{mock_destination_folder}/{mock_paths[0]}"),
call(f"{self.test_folder.path}/{mock_paths[0]}"),
call(f"{mock_destination_folder}/{mock_paths[1]}"),
call(f"{self.test_folder.path}/{mock_paths[1]}")])
mock_move_file.assert_called_once_with(destination_folder=mock_destination_folder)
mock_move_folder.assert_called_once_with(destination_folder=mock_destination_folder)
@patch("monolith_filemanager.adapters.s3_processes.S3ProcessesAdapter.__init__")
def test__strip_path_slash(self, mock_init):
mock_init.return_value = None
mock_path = "mock/folder/path/"
test_folder = S3ProcessesAdapter(file_path=mock_path)
test_folder.path = mock_path
test_folder._strip_path_slash()
self.assertEqual(mock_path.rstrip("/"), test_folder.path)
if __name__ == "__main__":
main()
| 51.261214 | 175 | 0.726992 | 2,389 | 19,428 | 5.484303 | 0.05023 | 0.062967 | 0.10922 | 0.11731 | 0.805221 | 0.731644 | 0.656312 | 0.57808 | 0.543123 | 0.496336 | 0 | 0.00962 | 0.176035 | 19,428 | 378 | 176 | 51.396825 | 0.808846 | 0.003603 | 0 | 0.446875 | 0 | 0 | 0.233595 | 0.208122 | 0 | 0 | 0 | 0 | 0.178125 | 1 | 0.075 | false | 0 | 0.009375 | 0 | 0.0875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6621f5308d9319ae5e2c09eb61c97a4f6a12ea20 | 459 | py | Python | maleorfemale.py | harshals13/Jigglypuffpuff | 469ea64c71a123cafadc4ae40a1da5171182647b | [
"MIT"
] | null | null | null | maleorfemale.py | harshals13/Jigglypuffpuff | 469ea64c71a123cafadc4ae40a1da5171182647b | [
"MIT"
] | null | null | null | maleorfemale.py | harshals13/Jigglypuffpuff | 469ea64c71a123cafadc4ae40a1da5171182647b | [
"MIT"
] | null | null | null | from sklearn import tree
#[height, weight, shoe size]
X = [[181,80,44], [177,70, 43],[160, 60,38],[154, 54, 37], [166,65,40], [190, 90, 47], [175, 64, 39], [177, 70, 40],[159, 55, 45],[171, 75, 42], [181, 85, 43] ]
Y = ['male', 'female', 'female', 'female', 'male','male', 'male', 'female', 'male', 'female', 'male']
clf = tree.DecisionTreeClassifier()
clf = clf.fit(X, Y)
prediction = clf.predict([[ 180, 80, 33 ]])
print(prediction)
#This code works | 27 | 160 | 0.586057 | 73 | 459 | 3.684932 | 0.69863 | 0.111524 | 0.104089 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216495 | 0.154684 | 459 | 17 | 161 | 27 | 0.476804 | 0.091503 | 0 | 0 | 0 | 0 | 0.129808 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
66240c3ee8769bc3f49297e677406217e8beaf2e | 1,505 | py | Python | TSTP_20210522_CH4_Functions.py | adjectiveJ/tstp_challenges | e0fcc174594387e0c6142980bf2706d7f5cbc5bd | [
"CC0-1.0"
] | null | null | null | TSTP_20210522_CH4_Functions.py | adjectiveJ/tstp_challenges | e0fcc174594387e0c6142980bf2706d7f5cbc5bd | [
"CC0-1.0"
] | null | null | null | TSTP_20210522_CH4_Functions.py | adjectiveJ/tstp_challenges | e0fcc174594387e0c6142980bf2706d7f5cbc5bd | [
"CC0-1.0"
] | null | null | null | """
The Self-Taught Programmer - Chapter 4 Challenges
Author: Dante Valentine
Date: 22 May, 2021
"""
""" CHALLENGE 1 """
to_square = 12
def square_func(x):
# Returns the square of x.
return x*x
resp = square_func(to_square)
#print("The square of", to_square, "is", str(resp) + ".")
""" CHALLENGE 2 """
to_print = 1.0056
def print_string(x):
# Prints a string.
print(str(x))
#print("Next I will print a string...")
#string_var = print_string(to_print)
""" CHALLENGE 3 """
param1 = "horse"
param2 = "owl"
param3 = "pig"
def mixed_params(x, y, z, a="cat", b="dog"):
# Prints 3 required parameters and two optional parameters.
print(x ,y, z, a, b)
#mixed_params(param1, param2, param3)
#mixed_params(param1, param2, param3, "mouse", "frog")
""" CHALLENGE 4 """
int_var = 3
def int_div_two(x):
# Returns the input value divided by 2.
return x/2
def int_mult_four(y):
# Returns the input value multiplied by 4.
return y*4
var1 = int_div_two(int_var)
var2 = int_mult_four(var1)
#print("Input: " + str(int_var) + " | Div2: " + str(var1) + " | Mult4: " + str(var2))
""" CHALLENGE 5"""
string_var = "ghost"
#string_var = "7.5"
def stringToFloat(x):
# Tries to return the input value as a float, else returns error message.
try:
return float(x)
except ValueError:
print("Error: Value must be a number.")
print_var = stringToFloat(string_var)
print(print_var)
| 21.5 | 87 | 0.621927 | 221 | 1,505 | 4.104072 | 0.39819 | 0.039691 | 0.042999 | 0.00882 | 0.063947 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037555 | 0.239203 | 1,505 | 69 | 88 | 21.811594 | 0.754585 | 0.44186 | 0 | 0 | 0 | 0 | 0.079389 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0 | 0.111111 | 0.37037 | 0.259259 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
662cd92db90d9d0b17d2a45ad47818909732dc56 | 1,253 | py | Python | src/algorithms/utils.py | MSwenne/QSB-Suite | 7860e4634bdce10fa79d7f850b6bc2099357d7b0 | [
"MIT"
] | null | null | null | src/algorithms/utils.py | MSwenne/QSB-Suite | 7860e4634bdce10fa79d7f850b6bc2099357d7b0 | [
"MIT"
] | null | null | null | src/algorithms/utils.py | MSwenne/QSB-Suite | 7860e4634bdce10fa79d7f850b6bc2099357d7b0 | [
"MIT"
] | null | null | null | import random
def QFT(first: int, last: int) -> str:
res = "// Begin QFT\n"
for a in range(first, last+1):
res += f"h q[{a}];\n"
for b in range(a+1,last+1):
res += f"crz({1/(2**(b-a+1))}) q[{a}], q[{b}];\n"
return res
def QFT_inv(first: int, last: int) -> str:
res = "// Begin QFT inverse\n"
for a in range(last, first-1, -1):
for b in range(last,a,-1):
res += f"crz({-1/(2**(b-a+1))}) q[{a}], q[{b}];\n"
res += f"h q[{a}];\n"
return res
def QASM_prefix(qubits: int, bits: int) -> str:
# Initial QASM setup
res = "OPENQASM 2.0;\n"
res += "include \"qelib1.inc\";\n\n"
res += f"qreg q[{qubits}];\n"
res += f"creg c[{bits}];\n\n"
return res
def random_pauli() -> str:
return random.choice(["x", "y", "z"])
def random_cliff3() -> str:
return random.choice(["x", "h", "s"])
def random_cliff7() -> str:
return random.choice(["x", "y", "z", "h", "sx", "sy", "s"])
def random_univeral() -> str:
return random.choice(["x", "y", "z", "h", "t"])
def random_cgate(qubits):
c = random.randint(0,qubits-1)
t = random.randint(0,qubits-1)
while c == t:
t = random.randint(0,qubits-1)
return f"cz q[{c}], q[{t}];\n"
| 27.23913 | 63 | 0.51237 | 214 | 1,253 | 2.96729 | 0.257009 | 0.037795 | 0.094488 | 0.132283 | 0.464567 | 0.359055 | 0.264567 | 0.226772 | 0.056693 | 0.056693 | 0 | 0.024313 | 0.245012 | 1,253 | 45 | 64 | 27.844444 | 0.646934 | 0.014366 | 0 | 0.2 | 0 | 0.057143 | 0.197891 | 0.034874 | 0 | 0 | 0 | 0 | 0 | 1 | 0.228571 | false | 0 | 0.028571 | 0.114286 | 0.485714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
b077615a398497bbf160df8bf076bda9f756c99d | 337 | py | Python | vendor/views/sign_in_views.py | hossainchisty/Multi-Vendor-eCommerce | 42c5f62b8b098255cc9ea57858d3cc7de94bd76a | [
"MIT"
] | 16 | 2021-09-22T19:08:28.000Z | 2022-03-18T18:57:02.000Z | vendor/views/sign_in_views.py | hossainchisty/Multi-Vendor-eCommerce | 42c5f62b8b098255cc9ea57858d3cc7de94bd76a | [
"MIT"
] | 6 | 2021-09-30T12:36:02.000Z | 2022-03-18T22:18:00.000Z | vendor/views/sign_in_views.py | hossainchisty/Multi-Vendor-eCommerce | 42c5f62b8b098255cc9ea57858d3cc7de94bd76a | [
"MIT"
] | 6 | 2021-12-06T02:04:51.000Z | 2022-03-13T14:38:14.000Z | from django.contrib.auth.views import LoginView
from django.contrib.auth.forms import AuthenticationForm
class SignInView(LoginView):
''' Sign in for vendor '''
form_class = AuthenticationForm
template_name = 'vendor/sign_in.html'
redirect_field_name = 'vendor:root_path'
success_url = 'vendor:root_path'
| 30.636364 | 57 | 0.735905 | 41 | 337 | 5.853659 | 0.609756 | 0.083333 | 0.141667 | 0.175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178042 | 337 | 10 | 58 | 33.7 | 0.866426 | 0.053412 | 0 | 0 | 0 | 0 | 0.169435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b078190b27e28c76e2f6312fda29c3c87dbe3e12 | 692 | py | Python | django_excel_to_model/tests/test_openpyxl.py | weijia/django-excel-to-model | 2bab354835e31133f1344bee2cb12cb3627eef3d | [
"BSD-3-Clause"
] | 2 | 2021-03-14T14:29:19.000Z | 2021-05-02T10:36:47.000Z | django_excel_to_model/tests/test_openpyxl.py | weijia/django-excel-to-model | 2bab354835e31133f1344bee2cb12cb3627eef3d | [
"BSD-3-Clause"
] | 1 | 2020-03-11T06:20:59.000Z | 2020-04-22T02:17:35.000Z | django_excel_to_model/tests/test_openpyxl.py | weijia/django-excel-to-model | 2bab354835e31133f1344bee2cb12cb3627eef3d | [
"BSD-3-Clause"
] | 4 | 2018-04-28T02:39:05.000Z | 2021-07-27T02:04:27.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_django-excel-to-model
------------
Tests for `django-excel-to-model` models module.
"""
from django.test import TestCase
# from unittest import TestCase
from django_excel_to_model.openpyxl_reader import OpenpyxlExcelFile
from sap_asset_master_data20191224.models import mapping
class TestOpenpyxl(TestCase):
def setUp(self):
pass
def test_something(self):
x = OpenpyxlExcelFile(r"C:\N-PC0WN7R6-Data\q19420\Downloads\sapItems20191223-1.XLSx")
s = x.get_sheet(0)
s.set_header_row(0)
for i in s.enumerate_mapped(mapping, 2):
print(i)
def tearDown(self):
pass
| 21.625 | 93 | 0.679191 | 93 | 692 | 4.913978 | 0.645161 | 0.07221 | 0.085339 | 0.118162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052252 | 0.197977 | 692 | 31 | 94 | 22.322581 | 0.771171 | 0.234104 | 0 | 0.142857 | 0 | 0 | 0.113462 | 0.113462 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0.142857 | 0.214286 | 0 | 0.5 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b08769fd169d1bb3f57d9800c62bb6c63602cc3c | 3,685 | py | Python | kappmax_prediction_scripts/media.py | coltonlloyd/keff_mapping | eea8450561232d32c049455948d88917bf56ddd8 | [
"MIT"
] | null | null | null | kappmax_prediction_scripts/media.py | coltonlloyd/keff_mapping | eea8450561232d32c049455948d88917bf56ddd8 | [
"MIT"
] | null | null | null | kappmax_prediction_scripts/media.py | coltonlloyd/keff_mapping | eea8450561232d32c049455948d88917bf56ddd8 | [
"MIT"
] | 2 | 2019-02-05T15:24:29.000Z | 2020-04-16T11:06:06.000Z | LB_media = {
"EX_ni2_e": -1000,
"EX_dcyt_e": -1000,
"EX_hg2_e": -1000,
"EX_ins_e": -1000,
"EX_cd2_e": -1000,
"EX_so4_e": -1000,
"EX_uri_e": -1000,
"EX_tungs_e": -1000,
"EX_glu__L_e": -1000,
"EX_slnt_e": -1000,
"EX_trp__L_e": -1000,
"EX_dad__2_e": -1000,
"EX_mobd_e": -1000,
"EX_val__L_e": -1000,
"EX_cobalt2_e": -1000,
"EX_gln__L_e": -1000,
"EX_co2_e": -1000,
"EX_k_e": -1000,
"EX_cu2_e": -1000,
"EX_sel_e": -1000,
"EX_na1_e": -1000,
"EX_cl_e": -1000,
"EX_fe3_e": -1000,
"EX_arg__L_e": -1000,
"EX_pnto__R_e": -1000,
"EX_lys__L_e": -1000,
"EX_ala__L_e": -1000,
"EX_gal_e": -1000,
"EX_cbl1_e": -1000,
"EX_ser__L_e": -1000,
"EX_adn_e": -1000,
"EX_thr__L_e": -1000,
"EX_pi_e": -1000,
"EX_thymd_e": -1000,
"EX_mn2_e": -1000,
"EX_phe__L_e": -1000,
"EX_leu__L_e": -1000,
"EX_ura_e": -1000,
"EX_h_e": -100,
"EX_h2o_e": -100,
"EX_aso3_e": -1000,
"EX_hxan_e": -1000,
"EX_glc__D_e": -1000,
"EX_nac_e": -1000,
"EX_his__L_e": -1000,
"EX_o2_e": -1000,
"EX_pro__L_e": -1000,
"EX_mg2_e": -1000,
"EX_asp__L_e": -1000,
"EX_gly_e": -1000,
"EX_cys__L_e": -1000,
"EX_fe2_e": -1000,
"EX_ca2_e": -1000,
"EX_tyr__L_e": -1000,
"EX_zn2_e": -1000,
"EX_fru_e": -1000,
"EX_met__L_e": -1000,
"EX_ile__L_e": -1000
}
aas = {"EX_glyc_e": -1000,
"EX_asp__L_e": -1000,
"EX_gly_e": -1000,
"EX_cys__L_e": -1000,
"EX_met__L_e": -1000,
"EX_ile__L_e": -1000,
"EX_tyr__L_e": -1000,
"EX_pro__L_e": -1000,
"EX_his__L_e": -1000,
"EX_phe__L_e": -1000,
"EX_leu__L_e": -1000,
"EX_ser__L_e": -1000,
"EX_arg__L_e": -1000,
"EX_lys__L_e": -1000,
"EX_ala__L_e": -1000,
"EX_gln__L_e": -1000,
"EX_glu__L_e": -1000,
"EX_trp__L_e": -1000,
"EX_val__L_e": -1000,
"EX_thr__L_e": -1000,
"EX_asn__L_e": -1000
}
# Mapping of Aerbersold media conditions to exchange reaction
media_dict = {'Glucose': 'EX_glc__D_e', 'Acetate': 'EX_ac_e',
'Pyruvate': 'EX_pyr_e', 'Glycerol': 'EX_glyc_e',
'Fumarate': 'EX_fum_e', 'Succinate': 'EX_succ_e',
'LB': '', 'Glucosamine': 'EX_gam_e',
'Mannose': 'EX_man_e', 'Xylose': 'EX_xyl__D_e',
'Fructose': 'EX_fru_e', 'Glycerol + AA': '',
'Galactose': 'EX_gal_e', 'Gluconate': 'EX_glcn_e'}
map_media_to_old_me_df = {
'Glucose': 'base', 'Acetate': 'Acetate', 'Fumarate': 'Fumarate',
'Glycerol': 'Glycerol', 'Pyruvate': 'Pyruvate', 'Succinate': 'Succinate'
}
def set_media(model, name, value=-1000):
model.reactions.EX_glc__D_e.lower_bound = 0
reactions_changed = []
if name in model.reactions:
model.reactions.get_by_id(name).lower_bound = value
reactions_changed.append(name)
elif name == 'Glycerol + AA':
for r, v in aas.items():
model_rxn = model.reactions.get_by_id(r)
if model_rxn.lower_bound == 0:
model_rxn.lower_bound = v
reactions_changed.append(r)
elif name == 'LB':
for r, v in LB_media.items():
model_rxn = model.reactions.get_by_id(r)
if model_rxn.lower_bound == 0:
model_rxn.lower_bound = v
reactions_changed.append(r)
elif name in media_dict:
model.reactions.get_by_id(media_dict[name]).lower_bound = value
reactions_changed.append(media_dict[name])
else:
raise UserWarning('Media (s) not valid' % name)
return reactions_changed
| 29.246032 | 76 | 0.566079 | 575 | 3,685 | 3.090435 | 0.231304 | 0.216657 | 0.295442 | 0.157569 | 0.481148 | 0.457513 | 0.457513 | 0.411367 | 0.254924 | 0.254924 | 0 | 0.1256 | 0.2654 | 3,685 | 125 | 77 | 29.48 | 0.530846 | 0.016011 | 0 | 0.376068 | 0 | 0 | 0.304084 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008547 | false | 0 | 0 | 0 | 0.017094 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b08a24bef63250d06b5557da066625b5924bd251 | 178 | py | Python | 17. Chapter_/xmlrpc_client.py | Mikma03/Python_Bill_Lubanovic_BookCodes | 8b5b228bb500a08af645a1db6f7c5f33ef5f0512 | [
"MIT"
] | null | null | null | 17. Chapter_/xmlrpc_client.py | Mikma03/Python_Bill_Lubanovic_BookCodes | 8b5b228bb500a08af645a1db6f7c5f33ef5f0512 | [
"MIT"
] | null | null | null | 17. Chapter_/xmlrpc_client.py | Mikma03/Python_Bill_Lubanovic_BookCodes | 8b5b228bb500a08af645a1db6f7c5f33ef5f0512 | [
"MIT"
] | null | null | null | import xmlrpc.client
proxy = xmlrpc.client.ServerProxy("http://localhost:6789/")
num = 7
result = proxy.double(num)
print("Dwukrotność liczby %s jest równa %s" % (num, result))
| 25.428571 | 60 | 0.724719 | 25 | 178 | 5.16 | 0.72 | 0.186047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031847 | 0.117978 | 178 | 6 | 61 | 29.666667 | 0.789809 | 0 | 0 | 0 | 0 | 0 | 0.320225 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b08bef0d9eac560231bad41dab1d173a448b34ce | 843 | py | Python | Chapter03/function_enforcement.py | PacktPublishing/Secret-Recipes-of-the-Python-Ninja | 805d00c7a54927ba94c9077e9a580508ee3c5e56 | [
"MIT"
] | 13 | 2018-06-21T01:44:49.000Z | 2021-12-01T10:49:53.000Z | Chapter03/function_enforcement.py | PacktPublishing/Secret-Recipes-of-the-Python-Ninja | 805d00c7a54927ba94c9077e9a580508ee3c5e56 | [
"MIT"
] | null | null | null | Chapter03/function_enforcement.py | PacktPublishing/Secret-Recipes-of-the-Python-Ninja | 805d00c7a54927ba94c9077e9a580508ee3c5e56 | [
"MIT"
] | 6 | 2018-10-05T08:29:24.000Z | 2022-01-11T14:49:50.000Z | def accepts(*types):
def check_accepts(f):
assert len(types) == f.func_code.co_argcount
def new_f(*args, **kwds):
for (a, t) in zip(args, types):
assert isinstance(a, t), \
"arg %r does not match %s" % (a,t)
return f(*args, **kwds)
new_f.func_name = f.func_name
return new_f
return check_accepts
def returns(rtype):
def check_returns(f):
def new_f(*args, **kwds):
result = f(*args, **kwds)
assert isinstance(result, rtype), \
"return value %r does not match %s" % (result,rtype)
return result
new_f.func_name = f.func_name
return new_f
return check_returns
@accepts(int, (int,float))
@returns((int,float))
def func(arg1, arg2):
return arg1 * arg2
| 30.107143 | 71 | 0.548043 | 114 | 843 | 3.912281 | 0.315789 | 0.053812 | 0.080717 | 0.049327 | 0.318386 | 0.188341 | 0.188341 | 0.188341 | 0.188341 | 0.188341 | 0 | 0.00708 | 0.329775 | 843 | 27 | 72 | 31.222222 | 0.782301 | 0 | 0 | 0.24 | 0 | 0 | 0.067616 | 0 | 0 | 0 | 0 | 0 | 0.12 | 1 | 0.28 | false | 0 | 0 | 0.04 | 0.56 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b091329df5d41c9910c06cb7d5946e735531a835 | 345 | py | Python | python/1920.py | zheedong/BaekJoon | 7f9e00085276a337d18ee3bb90c98126f7af4d3a | [
"MIT"
] | null | null | null | python/1920.py | zheedong/BaekJoon | 7f9e00085276a337d18ee3bb90c98126f7af4d3a | [
"MIT"
] | null | null | null | python/1920.py | zheedong/BaekJoon | 7f9e00085276a337d18ee3bb90c98126f7af4d3a | [
"MIT"
] | null | null | null | test_case_1 = """
5 # N
4 1 5 2 3
5 # M
1 3 7 9 5
"""
'''
result
1
1
0
0
1
'''
N = int(input())
A = list(map(int, input().split()))
A_set = set(A) # Set in으로 문제 한 번에 해결...
M = int(input())
B = list(map(int, input().split()))
for i in range(0, M):
if B[i] in A_set:
print(1)
else:
print(0) | 12.321429 | 46 | 0.46087 | 68 | 345 | 2.279412 | 0.485294 | 0.206452 | 0.129032 | 0.193548 | 0.258065 | 0 | 0 | 0 | 0 | 0 | 0 | 0.093333 | 0.347826 | 345 | 28 | 47 | 12.321429 | 0.595556 | 0.063768 | 0 | 0 | 0 | 0 | 0.184564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.125 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b09631a3441037754162b7e57cc1cff16fb106f6 | 1,452 | py | Python | src/api/access_module.py | GuilhermeVieira/mac0350-database | 1b3b344cda09187cc5f7186d86bea385f77509dc | [
"MIT"
] | null | null | null | src/api/access_module.py | GuilhermeVieira/mac0350-database | 1b3b344cda09187cc5f7186d86bea385f77509dc | [
"MIT"
] | 1 | 2019-06-02T22:40:24.000Z | 2019-06-02T22:40:24.000Z | src/api/access_module.py | GuilhermeVieira/mac0350-database | 1b3b344cda09187cc5f7186d86bea385f77509dc | [
"MIT"
] | null | null | null | import databases
from database_handler import load_session, func
from flask_login import LoginManager, UserMixin
class AccessModule:
session, Base = load_session(databases.urls['DATABASE_ACCESS_URL'])
def __init__(self):
'''
for item in self.session.query(User.us_id):
print(item.first())
'''
return
def create_user(self, email, password):
try:
self.session.execute(func.cria_usuario(email, password))
self.session.commit()
return True
except Exception as e:
return str(e)
def authenticate_user(self, email, password):
try:
return self.session.execute(func.verifica_senha(email, password)).first()[0]
except Exception as e:
print('Erro: ' + str(e))
return None
def get_user_by_id(self, us_id):
return self.session.query(User).get(us_id)
def get_user_by_email(self, us_email):
return self.session.query(User).filter_by(us_email=str(us_email)).first()
def is_allowed(self, us_id, service):
try:
return self.session.execute(func.tem_acesso(us_id, service)).first()[0]
except Exception as e:
print('Error: ' + str(e))
return False
class User(UserMixin, AccessModule.Base):
__tablename__ = 'users'
__table_args__ = { 'autoload': True }
def get_id(self):
return self.us_id
| 29.632653 | 88 | 0.623967 | 183 | 1,452 | 4.721311 | 0.360656 | 0.08912 | 0.078704 | 0.069444 | 0.251157 | 0.138889 | 0.06713 | 0 | 0 | 0 | 0 | 0.001885 | 0.269284 | 1,452 | 48 | 89 | 30.25 | 0.812441 | 0.046143 | 0 | 0.171429 | 0 | 0 | 0.033259 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.114286 | 0.085714 | 0.085714 | 0.685714 | 0.057143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
b09a66e328205a7eed665f95fa47dd121d3d6481 | 844 | py | Python | test/test_contact.py | hawkins/Shawk | c5be1165d8f6c0471544d06f7da07156df1dcc10 | [
"MIT"
] | 13 | 2016-05-05T11:16:31.000Z | 2021-02-25T11:23:14.000Z | test/test_contact.py | hawkins/Shawk | c5be1165d8f6c0471544d06f7da07156df1dcc10 | [
"MIT"
] | 18 | 2016-05-05T20:23:51.000Z | 2020-12-25T16:34:05.000Z | test/test_contact.py | hawkins/Shawk | c5be1165d8f6c0471544d06f7da07156df1dcc10 | [
"MIT"
] | 5 | 2017-07-25T23:50:43.000Z | 2021-12-04T11:05:13.000Z |
# Import shawk
from shawk import Contact
# Prepare contacts used throughout tests
mini_contact = Contact(12345678, 'Verizon')
name_contact = Contact(12345678, 'Verizon', 'Somebody')
def test_repr_minimal():
assert(repr(mini_contact) == "<shawk.Contact('12345678', 'Verizon', '<No name>')>")
def test_repr_with_name():
assert(repr(name_contact) == "<shawk.Contact('12345678', 'Verizon', 'Somebody')>")
def test_string_minimal():
assert(str(mini_contact) == '<No name>: 12345678 (Verizon)')
def test_string_with_name():
assert(str(name_contact) == 'Somebody: 12345678 (Verizon)')
def test_get_address_verizon():
assert(name_contact.get_address() == '12345678@vtext.com')
def test_get_number():
assert(name_contact.get_number() == '12345678')
def test_get_name():
assert(name_contact.get_name() == 'Somebody')
| 29.103448 | 87 | 0.716825 | 107 | 844 | 5.383178 | 0.261682 | 0.085069 | 0.152778 | 0.104167 | 0.208333 | 0.128472 | 0 | 0 | 0 | 0 | 0 | 0.086486 | 0.123223 | 844 | 28 | 88 | 30.142857 | 0.691892 | 0.060427 | 0 | 0 | 0 | 0 | 0.271229 | 0.065906 | 0 | 0 | 0 | 0 | 0.411765 | 1 | 0.411765 | false | 0 | 0.058824 | 0 | 0.470588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b0c2a699dca314b9665d88e6e73956104ae6f215 | 2,852 | py | Python | st_library/utils/databases/postgres.py | shortesttrack/dataprovider-py | 3ecbcb5e09da09614a708e4ef990acdd3443c6ed | [
"Apache-2.0"
] | null | null | null | st_library/utils/databases/postgres.py | shortesttrack/dataprovider-py | 3ecbcb5e09da09614a708e4ef990acdd3443c6ed | [
"Apache-2.0"
] | 2 | 2018-03-27T11:06:46.000Z | 2020-10-27T20:48:51.000Z | st_library/utils/databases/postgres.py | shortesttrack/dataprovider-py | 3ecbcb5e09da09614a708e4ef990acdd3443c6ed | [
"Apache-2.0"
] | 4 | 2018-02-26T08:12:39.000Z | 2018-05-18T06:01:01.000Z | import backoff
import psycopg2
from psycopg2.extras import DictCursor, NamedTupleCursor
from st_library.utils.generics.connectors import ConnectorContainer
_disconnect_errors = (psycopg2.InterfaceError, psycopg2.OperationalError,)
_backoff = backoff.on_exception(backoff.expo, _disconnect_errors, max_time=30, max_tries=30)
class Postgres(object):
DictCursor = DictCursor
NamedTupleCursor = NamedTupleCursor
def __init__(self, name, host, port, username, password):
self._name = name
self._host = host
self._port = port
self._username = username
self._password = password
self._conn = None
self._cursor = None
self._cursor_type = None
def __repr__(self):
return '<Postgres db "{}">'.format(self._name)
def set_cursor_type(self, cursor_type):
self._cursor_type = cursor_type
@property
def name(self):
return self._name
@_backoff
def _get_connection(self):
if self._conn and not self._conn.closed:
return self._conn
db_connection = self._do_get_connection()
self._conn = db_connection
return self._conn
def _do_get_connection(self):
return psycopg2.connect(database=self._name,
user=self._username,
password=self._password,
host=self._host, port=self._port)
@_backoff
def execute(self, *args, **kwargs):
if self._cursor is None or self._cursor.closed:
self._cursor = self._get_connection().cursor(cursor_factory=self._cursor_type)
return self._cursor.execute(*args, **kwargs)
def fetchall(self):
return self._cursor.fetchall()
def fetchmany(self, *args, **kwargs):
return self._cursor.fetchmany(*args, **kwargs)
def fetchone(self):
return self._cursor.fetchone()
@_backoff
def commit(self):
self._get_connection().commit()
@_backoff
def cancel(self):
self._get_connection().cancel()
@_backoff
def close(self):
self._get_connection().close()
@_backoff
def rollback(self):
self._get_connection().rollback()
class PostgresContainer(ConnectorContainer):
def _do_initialize_data(self):
assert not len(self._list)
params = self._fetch_param_dict([
'psql_host', 'psql_name', 'psql_username', 'psql_password', 'psql_port'
])
list_of_servers_params = [params]
for server in list_of_servers_params:
obj = Postgres(server['psql_name'], server['psql_host'],
int(server['psql_port']), server['psql_username'],
server['psql_password'])
self._list.append(obj)
self._dict[obj.name] = obj
| 29.102041 | 92 | 0.630435 | 314 | 2,852 | 5.39172 | 0.27707 | 0.07088 | 0.050207 | 0.049616 | 0.022445 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004321 | 0.269635 | 2,852 | 97 | 93 | 29.402062 | 0.808449 | 0 | 0 | 0.109589 | 0 | 0 | 0.043478 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 1 | 0.205479 | false | 0.068493 | 0.054795 | 0.082192 | 0.438356 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b0cef7efc960a0a20a9e808c895f9ff5b72321b6 | 1,903 | py | Python | src/zojax/portlet/browser/portlets.py | Zojax/zojax.portlet | f442ae53c400cd39e0c593138b83eeea0d13787e | [
"ZPL-2.1"
] | null | null | null | src/zojax/portlet/browser/portlets.py | Zojax/zojax.portlet | f442ae53c400cd39e0c593138b83eeea0d13787e | [
"ZPL-2.1"
] | null | null | null | src/zojax/portlet/browser/portlets.py | Zojax/zojax.portlet | f442ae53c400cd39e0c593138b83eeea0d13787e | [
"ZPL-2.1"
] | null | null | null | ##############################################################################
#
# Copyright (c) 2009 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
# FOR A PARTICULAR PURPOSE.
#
##############################################################################
"""
$Id$
"""
from zope import interface
from zope.location import LocationProxy
from zope.publisher.interfaces import NotFound
from zope.publisher.interfaces import IPublishTraverse
from zope.security.proxy import removeSecurityProxy
from zope.component import getAdapters, queryMultiAdapter
from zojax.statusmessage.interfaces import IStatusMessage
from zojax.portlet.interfaces import IPortletManager, IPortletsExtension
from zojax.portlet.browser.interfaces import IPortletManagerPublicMarker
class Portlets(object):
interface.implements(IPublishTraverse)
__name__ = 'portlets'
__parent__ = None
def __init__(self, context, request):
self.__parent__ = self.context = context
self.request = request
def publishTraverse(self, request, name):
context = self.context
manager = queryMultiAdapter(
(context, request, None), IPortletManager, name)
if manager is not None:
manager.update()
interface.alsoProvides(manager, IPortletManagerPublicMarker)
return LocationProxy(manager, self.context, name)
raise NotFound(self.context, self.__name__, request)
def __call__(self):
raise NotFound(self.context, self.__name__, request)
| 33.982143 | 78 | 0.683132 | 196 | 1,903 | 6.489796 | 0.479592 | 0.037736 | 0.022013 | 0.042453 | 0.113208 | 0.061321 | 0.061321 | 0 | 0 | 0 | 0 | 0.003807 | 0.171834 | 1,903 | 55 | 79 | 34.6 | 0.803299 | 0.239096 | 0 | 0.074074 | 0 | 0 | 0.006314 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.333333 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
b0daa63a5af9ec548e408e77f43dd85ab4843906 | 462 | py | Python | __findModuleLocations.py | simdevex/01.Basics | cf4f372384e66f4b26e4887d2f5d815a1f8e929c | [
"MIT"
] | null | null | null | __findModuleLocations.py | simdevex/01.Basics | cf4f372384e66f4b26e4887d2f5d815a1f8e929c | [
"MIT"
] | null | null | null | __findModuleLocations.py | simdevex/01.Basics | cf4f372384e66f4b26e4887d2f5d815a1f8e929c | [
"MIT"
] | null | null | null | '''
Python program to find the location of Python modulesources
'''
#Location of Python module sources:
import imp
print("Location of Python os module sources:")
print(imp.find_module('os'))
print("\nLocation of Python sys module sources:")
print(imp.find_module('datetime'))
#List of directories of specific module:
import os
print("\nList of directories in os module:")
print(os.path)
print("\nList of directories in sys module:")
import sys
print(sys.path)
| 24.315789 | 59 | 0.75974 | 70 | 462 | 4.985714 | 0.328571 | 0.091691 | 0.137536 | 0.120344 | 0.320917 | 0.17765 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125541 | 462 | 18 | 60 | 25.666667 | 0.863861 | 0.287879 | 0 | 0 | 0 | 0 | 0.49375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.272727 | 0 | 0.272727 | 0.727273 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
b0df7d5ad0499addaf0ae1570bc27728fffba61b | 778 | py | Python | configs/_base_/det_datasets/pool_icdar2013_icdar2015.py | andrgje/mmocr | 26963dcf56b6cc842d097617a9dc1688b01fcaed | [
"Apache-2.0"
] | null | null | null | configs/_base_/det_datasets/pool_icdar2013_icdar2015.py | andrgje/mmocr | 26963dcf56b6cc842d097617a9dc1688b01fcaed | [
"Apache-2.0"
] | null | null | null | configs/_base_/det_datasets/pool_icdar2013_icdar2015.py | andrgje/mmocr | 26963dcf56b6cc842d097617a9dc1688b01fcaed | [
"Apache-2.0"
] | null | null | null | dataset_type1 = 'IcdarDataset'
data_root1 = 'data/icdar15'
train1 = dict(
type=dataset_type1,
ann_file=f'{data_root1}/instances_training.json',
img_prefix=f'{data_root1}/imgs',
pipeline=None)
test1 = dict(
type=dataset_type1,
ann_file=f'{data_root1}/instances_validation.json',
img_prefix=f'{data_root1}/imgs',
pipeline=None)
dataset_type2 = 'IcdarDataset'
data_root2 = 'data/icdar13'
train2 = dict(
type=dataset_type2,
ann_file=f'{data_root2}/instances_training.json',
img_prefix=f'{data_root2}/imgs',
pipeline=None)
test2 = dict(
type=dataset_type2,
ann_file=f'{data_root2}/instances_validation.json',
img_prefix=f'{data_root2}/imgs',
pipeline=None)
train_list = [train1,train2]
test_list = [test1,test2]
| 22.882353 | 55 | 0.713368 | 106 | 778 | 4.95283 | 0.283019 | 0.07619 | 0.114286 | 0.091429 | 0.71619 | 0.71619 | 0.71619 | 0.647619 | 0.647619 | 0.350476 | 0 | 0.04236 | 0.150386 | 778 | 33 | 56 | 23.575758 | 0.751891 | 0 | 0 | 0.461538 | 0 | 0 | 0.339332 | 0.190231 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b0fda5ff40de8e081dd602a278f08974ff524613 | 11,355 | py | Python | adventures/bucketlist/tests/test_api.py | lakivisi-zz/adventures | f094ac3fa1d5c85d65650c9cdc2ff2f60f9189a5 | [
"MIT"
] | null | null | null | adventures/bucketlist/tests/test_api.py | lakivisi-zz/adventures | f094ac3fa1d5c85d65650c9cdc2ff2f60f9189a5 | [
"MIT"
] | null | null | null | adventures/bucketlist/tests/test_api.py | lakivisi-zz/adventures | f094ac3fa1d5c85d65650c9cdc2ff2f60f9189a5 | [
"MIT"
] | 1 | 2021-01-14T21:27:32.000Z | 2021-01-14T21:27:32.000Z | from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from bucketlist.models import Bucketlist, Item
from bucketlist.tests.factories import (BucketlistFactory,
UserFactory,
ItemFactory)
# Create your tests here.
class RegisterApiTestSuite(APITestCase):
def setUp(self):
self.user = UserFactory.build()
def test_user_can_register_with_correct_credentials(self):
url = reverse('register')
data = {'username': self.user.username,
'email': self.user.email,
'password': self.user.password}
response = self.client.post(url, data, format='json')
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertIn(
'"username":"{}","email":"{}"'.format(
self.user.username,
self.user.email),
str(response.content))
# test_user_cant_register_twice
response = self.client.post(url, data, format='json')
self.assertEqual(response.status_code, 400)
self.assertIn(
'"username":["A user with that username already exists."]',
str(response.content))
def test_user_cant_register_with_wrong_credentials(self):
url = reverse('register')
data = {'username': self.user.username,
'email': "wq",
'password': self.user.password}
response = self.client.post(url, data, format='json')
self.assertEqual(response.status_code, 400)
self.assertIn(
'"email":["Enter a valid email address."]',
str(response.content))
def test_user_cant_register_with_blank_credentials(self):
url = reverse('register')
data = {'username': ' ',
'email': ' ',
'password': ' '}
response = self.client.post(url, data, format='json')
self.assertEqual(response.status_code, 400)
self.assertIn(
'"username":["This field may not be blank."]',
str(response.content))
class LoginAPITestSuite(APITestCase):
def setUp(self):
self.user = UserFactory.build()
url = reverse('register')
data = {'username': self.user.username,
'email': self.user.email,
'password': self.user.password}
self.client.post(url, data, format='json')
self.url = reverse('login')
self.data = {'username': self.user.username,
'password': self.user.password}
def test_registered_user_can_login(self):
response = self.client.post(self.url, self.data, format='json')
self.assertEqual(response.status_code, 200)
self.assertIn('token', str(response.content))
def test_login_with_blank_credentials(self):
response = self.client.post(
self.url,
{'username': '', 'password': ''},
format='json')
self.assertEqual(response.status_code, 400)
self.assertIn(
'"username":["This field may not be blank."]',
str(response.content))
self.assertIn(
'"password":["This field may not be blank."]',
str(response.content))
def test_login_with_wrong_credentials(self):
response = self.client.post(self.url,
{'username': 'loice', 'password': 'loice'},
format='json')
self.assertEqual(response.status_code, 400)
self.assertIn('Unable to login with provided credentials',
str(response.content))
class BucketlistAPITestSuite(APITestCase):
def setUp(self):
self.user = UserFactory.build()
bucketlists = BucketlistFactory.build_batch(2)
self.bucketlist1 = bucketlists[0]
self.bucketlist2 = bucketlists[1]
# register a user
url = reverse('register')
data = {'username': self.user.username,
'email': self.user.email,
'password': self.user.password}
self.client.post(url, data, format='json')
# login user
response = self.client.post(reverse('login'),
{'username': self.user.username,
'password': self.user.password},
format='json'
)
self.token = response.data['token']
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + self.token)
# add one bucketlist
self.data = {'name': self.bucketlist2.name,
'description': self.bucketlist2.description}
response = self.client.post(
reverse('bucketlists'),
self.data,
format='json')
self.bucketlist = Bucketlist.objects.get(name=self.bucketlist2.name)
def test_user_can_create_bucketlist(self):
url = reverse('bucketlists')
data = {'name': self.bucketlist1.name,
'description': self.bucketlist1.description}
response = self.client.post(url,
data,
format='json')
data = response.data
self.assertIsNotNone(data['id'])
self.assertEqual(data['name'], self.bucketlist1.name)
def test_user_cant_create_bucketlist_with_same_name(self):
response = self.client.post(reverse('bucketlists'),
self.data,
format='json')
data = response.data
self.assertEqual(data['name'], ["bucketlist already exists"])
def test_can_list_bucketlists(self):
response = self.client.get(reverse('bucketlists'))
data = response.data
self.assertEqual(response.status_code, 200)
self.assertEqual(self.bucketlist2.name, data[0]['name'])
def test_can_list_one_bucketlist(self):
response = self.client.get(
reverse('one_bucketlist', kwargs={'pk': self.bucketlist.id}))
data = response.data
self.assertEqual(response.status_code, 200)
self.assertEqual(self.bucketlist2.name, data['name'])
def test_can_edit_one_bucketlist(self):
response = self.client.put(
reverse('one_bucketlist', kwargs={'pk': self.bucketlist.id}),
{'name': 'holiday',
'description': self.bucketlist2.description},
format='json')
data = response.data
self.assertEqual(response.status_code, 200)
self.assertEqual('holiday', data['name'])
def test_can_delete_one_bucketlist(self):
response = self.client.delete(
reverse('one_bucketlist', kwargs={'pk': 1}))
self.assertEqual(response.status_code, 204)
response = self.client.get(
reverse('one_bucketlist', kwargs={'pk': 1}),
headers={'Authorization': 'JWT ' + self.token})
data = response.data
self.assertEqual(response.status_code, 404)
self.assertEqual("Not found.", data["detail"])
class ItemAPITestSuite(APITestCase):
def setUp(self):
self.user = UserFactory.build()
bucketlist = BucketlistFactory.build()
items = ItemFactory.build_batch(2)
self.item1 = items[0]
self.item2 = items[1]
# register a user
url = reverse('register')
data = {'username': self.user.username,
'email': self.user.email,
'password': self.user.password}
self.client.post(url, data, format='json')
# login user
response = self.client.post(reverse('login'),
{'username': self.user.username,
'password': self.user.password},
format='json'
)
self.token = response.data['token']
self.client.credentials(HTTP_AUTHORIZATION='JWT ' + self.token)
# add one bucketlist
data = {'name': bucketlist.name,
'description': bucketlist.description}
self.client.post(
reverse('bucketlists'), data, format='json')
self.bucketlist = Bucketlist.objects.get(name=bucketlist.name)
self.data = {'name': self.item1.name,
'description': self.item1.description,
'completed': self.item1.completed}
self.client.post(reverse('items', kwargs={'bucketlist_id': self.bucketlist.id}),
self.data,
format='json')
self.item = Item.objects.get(
name=self.item1.name, bucketlist=self.bucketlist)
def test_user_can_create_item(self):
url = reverse('items', kwargs={'bucketlist_id': self.bucketlist.id})
data = {'name': self.item2.name,
'description': self.item2.description,
'completed': self.item2.completed}
response = self.client.post(url, data, format='json')
data = response.data
self.assertIsNotNone(data['id'])
self.assertEqual(data['name'], self.item2.name)
def test_user_cant_create_item_with_same_name_in_one_bucketlist(self):
url = reverse('items', kwargs={'bucketlist_id': self.bucketlist.id})
response = self.client.post(url, self.data, format='json')
data = response.data
self.assertEqual(data['name'], ["item already exists in bucketlist"])
def test_can_list_bucketlist_items(self):
url = reverse('items', kwargs={'bucketlist_id': self.bucketlist.id})
response = self.client.get(url)
data = response.data
self.assertEqual(response.status_code, 200)
self.assertEqual(self.item1.name, data[0]['name'])
def test_can_list_one_bucketlist_item(self):
url = reverse('one_item', kwargs={'bucketlist_id': self.bucketlist.id,
'pk': self.item.id})
response = self.client.get(url)
data = response.data
self.assertEqual(response.status_code, 200)
self.assertEqual(self.item1.name, data['name'])
def test_can_edit_one_bucketlist_item(self):
url = reverse('one_item', kwargs={'bucketlist_id': self.bucketlist.id,
'pk': self.item.id})
response = self.client.put(url,
{'name': 'israel trip',
'description': self.item1.description,
'completed': self.item1.completed},
format='json')
data = response.data
self.assertEqual(response.status_code, 200)
self.assertEqual('israel trip', data['name'])
def test_can_delete_one_bucketlist_item(self):
url = reverse('one_item', kwargs={'bucketlist_id': self.bucketlist.id,
'pk': self.item.id})
response = self.client.delete(url)
self.assertEqual(response.status_code, 204)
response = self.client.get(url)
data = response.data
self.assertEqual(response.status_code, 404)
self.assertEqual("Not found.", data["detail"])
| 41.593407 | 88 | 0.574813 | 1,155 | 11,355 | 5.536797 | 0.101299 | 0.048475 | 0.067553 | 0.077091 | 0.753401 | 0.722283 | 0.697263 | 0.676153 | 0.587021 | 0.516654 | 0 | 0.010865 | 0.30295 | 11,355 | 272 | 89 | 41.746324 | 0.797094 | 0.01277 | 0 | 0.541126 | 0 | 0 | 0.112847 | 0.0025 | 0 | 0 | 0 | 0 | 0.168831 | 1 | 0.095238 | false | 0.051948 | 0.021645 | 0 | 0.134199 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b0fdbad819a58bb24f68fffc89eae7b13da8ac0a | 514 | py | Python | src/model/match.py | HarborYuan/Student-Information-Management-System | 7226bdea9a422cc88876ba58f1e36e4f7087342d | [
"Apache-2.0"
] | null | null | null | src/model/match.py | HarborYuan/Student-Information-Management-System | 7226bdea9a422cc88876ba58f1e36e4f7087342d | [
"Apache-2.0"
] | null | null | null | src/model/match.py | HarborYuan/Student-Information-Management-System | 7226bdea9a422cc88876ba58f1e36e4f7087342d | [
"Apache-2.0"
] | 1 | 2018-12-03T11:43:37.000Z | 2018-12-03T11:43:37.000Z | import re
class IsCellphone():
def __init__(self):
self.p = re.compile(r'[1][^1269]\d{9}')
def iscellphone(self, number):
res = self.p.match(number)
if res:
return True
else:
return False
class IsMail():
def __init__(self):
self.p = re.compile(r'[^\._][\w\._-]+@(?:[A-Za-z0-9]+\.)+[A-Za-z]+$')
def ismail(self, str):
res = self.p.match(str)
if res:
return True
else:
return False
| 19.769231 | 77 | 0.486381 | 66 | 514 | 3.636364 | 0.439394 | 0.083333 | 0.091667 | 0.125 | 0.466667 | 0.466667 | 0.466667 | 0.216667 | 0 | 0 | 0 | 0.023669 | 0.342412 | 514 | 25 | 78 | 20.56 | 0.686391 | 0 | 0 | 0.526316 | 0 | 0.052632 | 0.116732 | 0.087549 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0 | 0.052632 | 0 | 0.578947 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
7c007a5d23b8a2015cedebc0918ddd73086265d1 | 398 | py | Python | secrets_example.py | fuzzysearch404/SpotifyPlaylistScripts | 17915742ca666edd8376f04d0e2687b207c32471 | [
"MIT"
] | null | null | null | secrets_example.py | fuzzysearch404/SpotifyPlaylistScripts | 17915742ca666edd8376f04d0e2687b207c32471 | [
"MIT"
] | 1 | 2021-11-03T13:40:55.000Z | 2021-11-03T13:40:55.000Z | secrets_example.py | fuzzysearch404/SpotifyPlaylistScripts | 17915742ca666edd8376f04d0e2687b207c32471 | [
"MIT"
] | null | null | null | # Spotify web application client ID
CLIENT_ID = 'your_client_id'
# Spotify web application client secret
CLIENT_SECRET = 'your_client_secret'
# Redirect URI. This can be any uri.
# Howerver, you MUST add this uri to your Spotify web app's settings.
# Application settings -> Edit Settings -> Redirect URIs.
# Add it there and save the settings.
REDIRECT_URI = 'https://localhost:2020/done' | 44.222222 | 70 | 0.753769 | 59 | 398 | 4.966102 | 0.542373 | 0.102389 | 0.143345 | 0.1843 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012085 | 0.168342 | 398 | 9 | 71 | 44.222222 | 0.873112 | 0.670854 | 0 | 0 | 0 | 0 | 0.504274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
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