xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

bed7a7f211ac4ca2170057d5dae27d3248efc33a

2,198

py

Python

src/main/python/shabda/data/iterators/internal/data_iterator_base.py

dhiraa/sabdha

f428418962dcc76f49e0a451ffc0545fda9b6b59

[ "Apache-2.0" ]

4

2018-10-26T07:00:34.000Z

2020-10-07T01:03:08.000Z

src/main/python/shabda/data/iterators/internal/data_iterator_base.py

dhiraa/sabdha

f428418962dcc76f49e0a451ffc0545fda9b6b59

[ "Apache-2.0" ]

null

src/main/python/shabda/data/iterators/internal/data_iterator_base.py

dhiraa/sabdha

f428418962dcc76f49e0a451ffc0545fda9b6b59

[ "Apache-2.0" ]

1

2018-10-26T07:00:38.000Z

# Copyright 2018 The Shabda Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable 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. """ Iterator that creates features for LSTM based models """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from shabda.hyperparams.hyperparams import HParams class DataIteratorBase(): """ """ def __init__(self, hparams, dataset): self._hparams = HParams(hparams, default_hparams=self.get_default_params()) self._dataset = dataset @staticmethod def get_default_params(): return {"key": "value"} def _get_train_input_fn(self): """ Inheriting class must implement this :return: callable """ raise NotImplementedError def _get_val_input_fn(self): """ Inheriting class must implement this :return: callable """ raise NotImplementedError def _get_test_input_function(self): """ Inheriting class must implement this :return: callable """ raise NotImplementedError def get_train_input_fn(self): """ Returns an data set iterator function that can be used in estimator :return: """ return self._get_train_input_fn() def get_val_input_fn(self): """ Returns an data set iterator function that can be used in estimator :return: """ return self._get_val_input_fn() def get_test_input_function(self): """ Returns an data set iterator function that can be used in estimator :return: """ return self._get_test_input_function()

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null

0

null

0

1

0

1

0

2

bed7c4898d58c738f63aa212ff888514735a6694

441

py

Python

app/filters.py

dakhnovskaya/organization

72fb6f0a2daf03e7f7ce4dfb2cb3c3eaf1c40851

[ "Apache-2.0" ]

null

app/filters.py

dakhnovskaya/organization

72fb6f0a2daf03e7f7ce4dfb2cb3c3eaf1c40851

[ "Apache-2.0" ]

null

app/filters.py

dakhnovskaya/organization

72fb6f0a2daf03e7f7ce4dfb2cb3c3eaf1c40851

[ "Apache-2.0" ]

null

import django_filters from app.models import Company class CompanyFilter(django_filters.FilterSet): min_cost = django_filters.NumberFilter(field_name='companyproduct__cost', lookup_expr='gte') max_cost = django_filters.NumberFilter(field_name='companyproduct__cost', lookup_expr='lte') class Meta: model = Company fields = ('districts', 'products__category', 'name', 'products__name', 'min_cost', 'max_cost')

33.923077

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0.109325

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null

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1

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2

bef071b99c5638f1355cc9be272ba0f93a6cb31f

493

py

Python

iot/models.py

kkishans/IOT_DJANGO

12a19858f002a8c684e4dbb93868a8859d57615f

[ "MIT" ]

null

iot/models.py

kkishans/IOT_DJANGO

12a19858f002a8c684e4dbb93868a8859d57615f

[ "MIT" ]

null

iot/models.py

kkishans/IOT_DJANGO

12a19858f002a8c684e4dbb93868a8859d57615f

[ "MIT" ]

null

from django.db import models from django import forms # Create your models here. class User(models.Model): username = models.CharField(max_length=30) password = models.TextField() email = models.EmailField(unique=True) objects = models.Manager() def __str__(self): return self.username class Room(models.Model): room = models.CharField(max_length=30) email = models.ForeignKey(User,on_delete=models.CASCADE) class Meta: db_table = "room"

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493

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1

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bef59fb3dbc590e868cbbe9ba87904ee2be92c5d

528

py

Python

dependencies/generate maps/pythongis/app/tk2/__init__.py

karimbahgat/AutoMap

eae52f16b7ce71cb2b4b7ae67cf6e4680ea2194f

[ "MIT" ]

4

2015-12-05T14:31:55.000Z

2018-02-09T05:54:36.000Z

dependencies/generate maps/pythongis/app/tk2/__init__.py

karimbahgat/AutoMap

eae52f16b7ce71cb2b4b7ae67cf6e4680ea2194f

[ "MIT" ]

1

2022-01-13T02:52:09.000Z

dependencies/generate maps/pythongis/app/tk2/__init__.py

karimbahgat/AutoMap

eae52f16b7ce71cb2b4b7ae67cf6e4680ea2194f

[ "MIT" ]

1

2018-10-24T01:08:11.000Z

""" Tk2 Tk2 is a convenience library for extending the functionality of Tkinter, to make it easier and more flexible to create GUI applications. """ from .basics import * from .scrollwidgets import * from .texteditor import Text, MultiTextSearch from .variables import * # Later from .multiwidgets import * from .progbar import * from .ribbon import * #from orderedlist import * #from calendar import * from web import * from . import filedialog from . import messagebox from . import colorchooser from . import dispatch

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null

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1

0

2

beff85e9c6691647f15d3bfe260f151e7cc2041f

3,275

py

Python

ally/utils/option.py

rjfranssen/PyAlly

f24d4d449dd0578f52e75365ad0ba69a572d3237

[ "MIT" ]

53

2019-08-11T20:39:16.000Z

2022-02-01T02:05:12.000Z

ally/utils/option.py

rjfranssen/PyAlly

f24d4d449dd0578f52e75365ad0ba69a572d3237

[ "MIT" ]

53

2019-12-11T06:39:59.000Z

2022-02-13T05:06:44.000Z

ally/utils/option.py

rjfranssen/PyAlly

f24d4d449dd0578f52e75365ad0ba69a572d3237

[ "MIT" ]

31

2019-10-05T02:28:16.000Z

2022-02-03T03:41:42.000Z

# MIT License # # Copyright (c) 2020 Brett Graves # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import datetime import math from .utils import * ############################################################################ def option_format(symbol="", exp_date="1970-01-01", strike=0, direction=""): """Returns the OCC standardized option name. Args: symbol: the underlying symbol, case insensitive exp_date: date of expiration, in string-form. strike: strike price of the option direction: 'C' or 'call' or the like, for call, otherwise 'p' or 'Put' for put Returns: OCC string, like 'IBM201231C00301000' .. code-block:: python # Construct the option's OCC symbol >>> ibm_call = ally.utils.option_format( exp_date = '2020-12-31', symbol = 'IBM', # case insensitive direction = 'call', strike = 301 ) >>> ibm_call 'IBM201231C00301000' """ if not ( check(symbol) and check(exp_date) and check(str(strike)) and check(direction) ): return "" # direction into C or P direction = "C" if "C" in direction.upper() else "P" # Pad strike with zeros def format_strike(strike): x = str(math.floor(float(strike) * 1000)) return "0" * (8 - len(x)) + x # Assemble return ( str(symbol).upper() + datetime.datetime.strptime(exp_date, "%Y-%m-%d").strftime("%y%m%d") + direction + format_strike(strike) ) def option_strike(name): """Pull apart an OCC standardized option name and retreive the strike price, in integer form""" return int(name[-8:]) / 1000.0 def option_maturity(name): """Given OCC standardized option name, return the date of maturity""" return datetime.datetime.strptime(name[-15:-9], "%y%m%d").strftime("%Y-%m-%d") def option_callput(name): """Given OCC standardized option name, return whether its a call or a put""" return "call" if name.upper()[-9] == "C" else "put" def option_symbol(name): """Given OCC standardized option name, return option ticker""" return name[:-15]

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8305a58a05e7a9623ae618b46a183f5331e34e3b

3,207

py

Python

provision/env/lib/python3.6/site-packages/ansible/plugins/become/dzdo.py

brightkan/tukole-frontend

45e1d82a4ae5a65e88e7434f67d4d1a88f462e96

[ "MIT" ]

1

2020-03-29T18:41:01.000Z

ansible/ansible/plugins/become/dzdo.py

SergeyCherepanov/ansible

875711cd2fd6b783c812241c2ed7a954bf6f670f

[ "MIT" ]

7

2020-09-07T17:27:56.000Z

2022-03-02T06:25:46.000Z

ansible/ansible/plugins/become/dzdo.py

SergeyCherepanov/ansible

875711cd2fd6b783c812241c2ed7a954bf6f670f

[ "MIT" ]

1

2020-10-30T12:48:24.000Z

# -*- coding: utf-8 -*- # Copyright: (c) 2018, Ansible Project # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import (absolute_import, division, print_function) __metaclass__ = type DOCUMENTATION = """ become: dzdo short_description: Centrify's Direct Authorize description: - This become plugins allows your remote/login user to execute commands as another user via the dzdo utility. author: ansible (@core) version_added: "2.8" options: become_user: description: User you 'become' to execute the task ini: - section: privilege_escalation key: become_user - section: dzdo_become_plugin key: user vars: - name: ansible_become_user - name: ansible_dzdo_user env: - name: ANSIBLE_BECOME_USER - name: ANSIBLE_DZDO_USER become_exe: description: Sudo executable default: dzdo ini: - section: privilege_escalation key: become_exe - section: dzdo_become_plugin key: executable vars: - name: ansible_become_exe - name: ansible_dzdo_exe env: - name: ANSIBLE_BECOME_EXE - name: ANSIBLE_DZDO_EXE become_flags: description: Options to pass to dzdo default: -H -S -n ini: - section: privilege_escalation key: become_flags - section: dzdo_become_plugin key: flags vars: - name: ansible_become_flags - name: ansible_dzdo_flags env: - name: ANSIBLE_BECOME_FLAGS - name: ANSIBLE_DZDO_FLAGS become_pass: description: Options to pass to dzdo required: False vars: - name: ansible_become_password - name: ansible_become_pass - name: ansible_dzdo_pass env: - name: ANSIBLE_BECOME_PASS - name: ANSIBLE_DZDO_PASS ini: - section: dzdo_become_plugin key: password """ from ansible.plugins.become import BecomeBase class BecomeModule(BecomeBase): name = 'dzdo' # messages for detecting prompted password issues fail = ('Sorry, try again.',) def build_become_command(self, cmd, shell): super(BecomeModule, self).build_become_command(cmd, shell) if not cmd: return cmd becomecmd = self.get_option('become_exe') or self.name flags = self.get_option('become_flags') or '' if self.get_option('become_pass'): self._prompt = '[dzdo via ansible, key=%s] password:' % self._id flags = '%s -p "%s"' % (flags.replace('-n', ''), self._prompt) user = self.get_option('become_user') or '' if user: user = '-u %s' % (user) return ' '.join([becomecmd, flags, user, self._build_success_command(cmd, shell)])

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83080191fabbc152072cd0019bf81fd6f737d375

7,129

py

Python

richardson_extrapolation.py

PrabalChowdhury/CSE330-NUMERICAL-METHODS

aabfea01f4ceaecfbb50d771ee990777d6e1122c

[ "MIT" ]

null

richardson_extrapolation.py

PrabalChowdhury/CSE330-NUMERICAL-METHODS

aabfea01f4ceaecfbb50d771ee990777d6e1122c

[ "MIT" ]

null

richardson_extrapolation.py

PrabalChowdhury/CSE330-NUMERICAL-METHODS

aabfea01f4ceaecfbb50d771ee990777d6e1122c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Richardson-Extrapolation.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1oNlSL2Vztk9Fc7tMBgPcL82WGaUuCY-A Before you turn this problem in, make sure everything runs as expected. First, **restart the kernel** (in the menubar, select Kernel$\rightarrow$Restart) and then **run all cells** (in the menubar, select Cell$\rightarrow$Run All). Make sure you fill in any place that says `YOUR CODE HERE` or "YOUR ANSWER HERE", as well as your name and collaborators below: """ NAME = "Prabal Chowdhury" COLLABORATORS = "" """--- ## CSE330 Lab: Richardson Extrapolation --- ## Instructions Today's assignment is to: 1. Implement Richardson Extrapolation method using Python ## Richardson Extrapolation: We used central difference method to calculate derivatives of functions last task. In this task we will use Richardson extrapolation to get a more accurate result. Let, $$ D_h = \frac{f(x_1+h) -f(x_1-h)}{2h}\tag{5.1}$$ General Taylor Series formula: $$ f(x) = f(x_1) + f'(x_1)(x - x_1) + \frac{f''(x_1)}{2}(x - x_1)^2+... $$ Using Taylor's theorem to expand we get, \begin{align} f(x_1+h) &= f(x_1) + f^{\prime}(x_1)h + \frac{f^{\prime \prime}(x_1)}{2}h^2 + \frac{f^{\prime \prime \prime}(x_1)}{3!}h^3 + \frac{f^{(4)}(x_1)}{4!}h^4 + \frac{f^{(5)}(x_1)}{5!}h^5 + O(h^6)\tag{5.2} \\ f(x_1-h) &= f(x_1) - f^{\prime}(x_1)h + \frac{f^{\prime \prime}(x_1)}{2}h^2 - \frac{f^{\prime \prime \prime}(x_1)}{3!}h^3 + \frac{f^{(4)}(x_1)}{4!}h^4 - \frac{f^{(5)}(x_1)}{5!}h^5 + O(h^6)\tag{5.3} \end{align} Subtracting $5.3$ from $5.2$ we get, $$ f(x_1+h) - f(x_1-h) = 2f^{\prime}(x_1)h + 2\frac{f^{\prime \prime \prime}(x_1)}{3!}h^3 + 2\frac{f^{(5)}(x_1)}{5!}h^5 + O(h^7)\tag{5.4}$$ So, \begin{align} D_h &= \frac{f(x_1+h) - f(x_1-h)}{2h} \\ &= \frac{1}{2h} \left( 2f^{\prime}(x_1)h + 2\frac{f^{\prime \prime \prime}(x_1)}{3!}h^3 + 2\frac{f^{(5)}(x_1)}{5!}h^5 + O(h^7) \right) \\ &= f^{\prime}(x_1) + \frac{f^{\prime \prime \prime}(x_1)}{6}h^2 + \frac{f^{(5)}(x_1)}{120}h^4 + O(h^6) \tag{5.5} \end{align} We get our derivative $f'(x)$ plus some error terms of order $>= 2$ Now, we want to bring our error order down to 4. If we use $h, \text{and} \frac{h}{2}$ as step size in $5.5$, we get, \begin{align} D_h &= f^{\prime}(x_1) + f^{\prime \prime \prime}(x_1)\frac{h^2}{6} + f^{(5)}(x_1) \frac{h^4}{120} + O(h^6) \tag{5.6} \\ D_{h/2} &= f^{\prime}(x_1) + f^{\prime \prime \prime}(x_1)\frac{h^2}{2^2 . 6} + f^{(5)}(x_1) \frac{h^4}{2^4 . 120} + O(h^6) \tag{5.7} \end{align} Multiplying $5.7$ by $4$ and subtracting from $5.6$ we get, \begin{align} D_h - 4D_{h/2} &= -3f^{\prime}(x) + f^{(5)}(x_1) \frac{h^4}{160} + O(h^6)\\ \Longrightarrow D^{(1)}_h = \frac{4D_{h/2} - D_h}{3} &= f^{\prime}(x) - f^{(5)}(x_1) \frac{h^4}{480} + O(h^6) \tag{5.8} \end{align} Let's calculate the derivative using $5.8$ ### 1. Let's import the necessary headers """ import numpy as np import pandas as pd import matplotlib.pyplot as plt from numpy.polynomial import Polynomial """### 2. Let's create a function named `dh(f, h, x)` function `dh(f, h, x)` takes three parameters as input: a function `f`, a value `h`, and a set of values `x`. It returns the derivatives of the function at each elements of array `x` using the Central Difference method. This calculates equation $(5.1)$. """ def dh(f, h, x): ''' Input: f: np.polynomial.Polynonimial type data. h: floating point data. x: np.array type data. Output: return np.array type data of slope at each point x. ''' # -------------------------------------------- return (f(x+h) - f(x-h)) / (2*h) # -------------------------------------------- """### 3. Let's create another funtion `dh1(f, h, x)`. `dh1(f, h, x)` takes the same type of values as `dh(f, h, x)` as input. It calculates the derivative using previously defined `dh(f, h, x)` function and using equation $5.8$ and returns the values. """ def dh1(f, h, x): ''' Input: f: np.polynomial.Polynonimial type data. h: floating point data. x: np.array type data. Output: return np.array type data of slope at each point x. ''' # -------------------------------------------- # YOUR CODE HERE return (4 * dh(f, h/2, x) - dh(f, h, x)) / 3 # -------------------------------------------- """### 4. Now let's create the `error(f, hs, x_i)` function The `error(f, hs, x_i)` function takes a function `f` as input. It also takes a list of different values of h as `hs` and a specific value as `x_i` as input. It calculates the derivatives as point `x_i` using both functions described in **B** and **C**, i.e. `dh` and `dh1` """ def error(f, hs, x_i): #Using the functions we wrote dh() my c_diff and dh1() which is my first order c diff, we find the error through appending their diffrences with Y_actual ny f(x) ''' Input: f : np.polynomial.Polynonimial type data. hs : np.array type data. list of h. x_i: floating point data. single value of x. Output: return two np.array type data of errors by two methods.. ''' f_prime = f.deriv(1) #first order derivitive f^1(x) Y_actual = f_prime(x_i) diff_error = [] diff2_error = [] for h in hs: #where h is my loop counter iterating through hs # for each values of hs calculate the error using both methods # and append those values into diff_error and diff2_error list. # -------------------------------------------- # YOUR CODE HERE e1 = Y_actual - dh(f, hs, x_i) diff_error.append(e1) e2 = Y_actual - dh1(f, hs, x_i) diff2_error.append(e2) # -------------------------------------------- print(pd.DataFrame({"h": hs, "Diff": diff_error, "Diff2": diff2_error})) return diff_error, diff2_error """### 5. Finally let's run some tests function to draw the actual function """ def draw_graph(f, ax, domain=[-10, 10], label=None): data = f.linspace(domain=domain) ax.plot(data[0], data[1], label='Function') """### Draw the polynomial and it's actual derivative function""" fig, ax = plt.subplots() ax.axhline(y=0, color='k') p = Polynomial([2.0, 1.0, -6.0, -2.0, 2.5, 1.0]) p_prime = p.deriv(1) draw_graph(p, ax, [-2.4, 1.5], 'Function') draw_graph(p_prime, ax, [-2.4, 1.5], 'Derivative') ax.legend() """### Draw the actual derivative and richardson derivative using `h=1` and `h=0.1` as step size.""" fig, ax = plt.subplots() ax.axhline(y=0, color='k') draw_graph(p_prime, ax, [-2.4, 1.5], 'actual') h = 1 x = np.linspace(-2.4, 1.5, 50, endpoint=True) y = dh1(p, h, x) ax.plot(x, y, label='Richardson; h=1') h = 0.1 x = np.linspace(-2.4, 1.5, 50, endpoint=True) y = dh1(p, h, x) ax.plot(x, y, label='Richardson; h=0.1') ax.legend() """### Draw error-vs-h cuve""" fig, ax = plt.subplots() ax.axhline(y=0, color='k') hs = np.array([1., 0.55, 0.3, .17, 0.1, 0.055, 0.03, 0.017, 0.01]) e1, e2 = error(p, hs, 2.0) ax.plot(hs, e1, label='e1') ax.plot(hs, e2, label='e2') ax.legend()

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830ca47819b03f644d5fc932f9eb92819146316f

1,425

py

Python

nuplan/database/utils/boxes/box.py

MCZhi/nuplan-devkit

3c4f5b8dcd517b27cfd258915ca5fe5c54e3cb0c

[ "Apache-2.0" ]

null

nuplan/database/utils/boxes/box.py

MCZhi/nuplan-devkit

3c4f5b8dcd517b27cfd258915ca5fe5c54e3cb0c

[ "Apache-2.0" ]

null

nuplan/database/utils/boxes/box.py

MCZhi/nuplan-devkit

3c4f5b8dcd517b27cfd258915ca5fe5c54e3cb0c

[ "Apache-2.0" ]

null

from __future__ import annotations import abc from typing import Any, Dict class BoxInterface(abc.ABC): """ Interface for box. """ @property # type: ignore @abc.abstractmethod def label(self) -> int: """ Label id. :return: Label id. """ pass @label.setter # type: ignore @abc.abstractmethod def label(self, label: int) -> None: """ Sets label id. :param label: label id. """ pass @property # type: ignore @abc.abstractmethod def score(self) -> float: """ Classification score. :return: Classification score. """ pass @score.setter # type: ignore @abc.abstractmethod def score(self, score: float) -> None: """ Sets classification score. :param score: Classification score. """ pass @abc.abstractmethod def serialize(self) -> Dict[str, Any]: """ Serializes the box instance to a JSON-friendly vector representation. :return: Encoding of the box. """ pass @classmethod @abc.abstractmethod def deserialize(cls, data: Dict[str, Any]) -> BoxInterface: """ Instantiates a Box3D instance from serialized vector representation. :param data: Output from serialize. :return: Deserialized box. """ pass

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0.378571

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null

0

null

0

1

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1

0

2

830eef9810e77b134c4cc2e988eadd23436bf9ed

4,637

py

Python

gru/plugins/base/inventory.py

similarweb/gru

49ef70c2b5e58302c84dbe7d984a7d49aebc0384

[ "BSD-2-Clause-FreeBSD" ]

7

2016-12-11T19:58:33.000Z

2020-07-11T08:55:34.000Z

gru/plugins/base/inventory.py

similarweb/gru

49ef70c2b5e58302c84dbe7d984a7d49aebc0384

[ "BSD-2-Clause-FreeBSD" ]

null

gru/plugins/base/inventory.py

similarweb/gru

49ef70c2b5e58302c84dbe7d984a7d49aebc0384

[ "BSD-2-Clause-FreeBSD" ]

1

2019-12-09T19:31:50.000Z

from . import BasePlugin from gru.config import settings class Host(object): def __init__(self, host_id, host_data=None): self.host_id = host_id if host_data: self.host_data = host_data else: self.host_data = {} def __repr__(self): return 'Host(host_id="{}")'.format( self.host_id, self.host_data ) def __str__(self): return self.__repr__() def get_identifier(self): return self.host_id def get_display_name(self): display_name = self.field(settings.get('inventory.host_display_name_field'), None) if not display_name: display_name = self.host_id return display_name def field(self, field_name, default=None): """ Return a (possibly nested) field :param field_name: the name of the field to return. If it contains periods ("."), a nested lookup will be performed :param default: a default value to return if the field is not found :return: The value matching the field name inside the host data """ try: return self.host_data[field_name] except KeyError: pass parts = field_name.split('.') current_val = self.host_data for part in parts: try: current_val = current_val[part] except (KeyError, TypeError): return default except TypeError: return default return current_val class HostCategory(object): def __init__(self, category, group, count=0): self.category = category self.group = group self.count = count def __repr__(self): return 'HostCategory(category="{}", group="{}", count={})'.format( self.category, self.group, self.count ) def __str__(self): return self.__repr__() class HostList(object): def __init__(self, hosts=None, total_hosts=0): if hosts: self.hosts = hosts else: self.hosts = [] self.total_hosts = total_hosts def __repr__(self): return 'HostList(hosts={}..., total_hosts={})'.format( self.hosts[:5], self.total_hosts ) def append(self, host): self.hosts.append(host) def __str__(self): return self.__repr__() def __iter__(self): for host in self.hosts: yield host def __nonzero__(self): return self.hosts.__nonzero__() def __len__(self): return len(self.hosts) class InventoryProvider(BasePlugin): def host_group_breakdown(self, category): """ Returns a list of groups belonging to a category. Example: if category = "datacenter", an expected return value would be ["us-east-1", "us-west-2"] :param category: A category string to aggregate by :return: A list of HostCategory objects """ raise NotImplementedError('override me') def list(self, category, group, sort_by=None, from_ind=None, to_ind=None): """ Filter by a field and value. Example: provider.list("datacenter", "us-east-1") will return all Hosts in the us-east-1 datacenter :param category: Category to filter by (i.e. "datacenter") :param group: group to filter by (i.e. "us-east-1") :param sort_by: optional, a string representing a host attribute to sort by. hostname, for example :param from_ind: to support pagination, you may return only a subset of the results. this is the start index :param to_ind: to support pagination, you may return only a subset of the results. this is the end index :return: a list of Host objects """ raise NotImplementedError('override me') def host_search(self, query, from_ind=None, to_ind=None): """ Given a query string, perform a search of hosts :param query: a query string to perform the lookup by :param from_ind: to support pagination, you may return only a subset of the results. this is the start index :param to_ind: to support pagination, you may return only a subset of the results. this is the end index :return: a list of Host objects """ raise NotImplementedError('override me') def get_host_by_id(self, host_id): """ Return a Host object by its ID :param host_id: a host ID to query by :return: a Host object """ raise NotImplementedError('override me')

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4.540404

0.212121

0.035595

0.022247

0.050426

0.237301

0.228402

0.188357

0.168335

0

0.002485

0.305801

4,637

148

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31.331081

0.835353

0.334052

0

0.228916

0

0.064746

0.028815

0

1

0.240964

false

0.012048

0.024096

0.108434

0.481928

0

null

0

null

0

1

0

1

0

2

8314cb28873762113bd7dff276be8513d9a062b7

8,543

py

Python

pimux/function.py

pcpcpc1213/pimux

6ce9c3a59ac04064d46217bcdad531c7171163da

[ "MIT" ]

null

pimux/function.py

pcpcpc1213/pimux

6ce9c3a59ac04064d46217bcdad531c7171163da

[ "MIT" ]

null

pimux/function.py

pcpcpc1213/pimux

6ce9c3a59ac04064d46217bcdad531c7171163da

[ "MIT" ]

null

from . import scrip as t class misc(): ''' The class misc has miscellaneous methods of termuxa-pi available. Available methods are : battery, brightness, vibrate, contactlist, torch, downloadFile ''' def __init__(self): pass def battery(self): ''' This method return battery status info. ''' self.batteryvalue=t.compute("termux-battery-status") return self.batteryvalue["output"] def brightness(self,Brightness): ''' Set the brightness of your device. It takes argument Brightness (int) from 0 to 100. ''' self.Brightness=Brightness self.brightvalue=t.compute(f"termux-brightness {self.Brightness}") return self.brightvalue["output"] def vibrate(self,duration=1000): ''' vibrates your phone. Default duration is 1000ms. ''' self.duration=duration self.vibratevalue=t.compute(f"termux-vibrate -d {self.duration}") return self.vibratevalue["output"] def contactlist(self): ''' Dumps all contact avalable on the phone. ''' self.cvalue=t.compute("termux-contact-list") return self.cvalue["output"] def call(self,number): ''' Calls a phone number. ''' self.number=number return t.compute(f"termux-telephony-call {self.number}")["output"] def torch(self,switch=False): ''' Toggles the torch on/off Takes argument as: True: turn on False: turn off ''' self.switch=switch if self.switch == False: self.torchvalue=t.compute("termux-torch off") return self.torchvalue["output"] else: self.torchvalue=t.compute("termux-torch on") return self.torchvalue["output"] def downloadFile(self,description="From termux",title="Download",url=" "): ''' This is the method for downloading anything from the internet. The arguments to be supplied are: - description - title - url ''' self.description=description self.title=title self.url=url self.downloadF=t.compute(f"termux-download -t {self.title} {self.url}") return self.downloadF["output"] def fingerprint(self): ''' This method uses the fingerprint scanner for authentication. It returns success or failure in JSON. ''' self.result=t.compute("termux-fingerprint")["output"] return self.result["output"] class tts(): ''' This class is for getting tts-engine info and for tts support. There are two methods available: ttsinfo and tts_speak ''' def __init__(self): pass def ttsinfo(self): ''' Gets tts-engines info as an output. ''' self.ttsvalue=t.compute("termux-tts-engines") return self.ttsvalue["output"] def tts_speak(self, eng="com.google.android.tts", lang="eng", regn="", variant="", pitch=1.0, rate=1.0, stream="", text="Hello from termux"): ''' This is a tts-engine api for conversion of text into speech. It has arguments: eng: engine lang: language pitch: pitch rate: ratei text: text to speak #for now this feature isn't set regn: region variant: variant stream: stream for more info visit [termux wiki](https://wiki.termux.com/wiki/Termux-tts-speak) ''' self.eng=eng self.lang=lang self.regn=regn self.variant=variant self.pitch=pitch self.rate=rate self.stream=stream self.text=text self.tvalue=t.compute(f"termux-tts-speak -e {self.eng} -l {self.lang} -p {self.pitch} -r {self.rate} {self.text}") return self.tvalue["output"] class camera: ''' The class camera is for fetching camera info or taking picture with the camera on the android. ''' def __init__(self): pass def camera(self): ''' This method returns camera info of the android device.It takes no argument. ''' self.value=t.compute("termux-camera-info") return self.value["output"] def takephoto(self,cid=0,saveas="newimg.jpeg"): ''' This method is for taking picture from the available camera on the device. It takes two argument: cid : camera id in int default(0) saveas: output file name in str format default("newimg.jpeg") ''' self.value=t.compute(f"termux-camera-photo -c {cid} {saveas}") return self.value["output"] class clipboard: ''' Clipboard on android stores copied value for short time until next copy. This class has two methods for setting or getting the value from clipboard. ''' def __init__(self): pass def clipboardGet(self): ''' The clipboardGet method returns value stored in the clipboard. ''' self.value=t.compute("termux-clipboard-get") return self.value["output"] def clipboardSet(self,readval=" "): ''' The clipboardSet method is to be used when required to store value in the clipboard. BY DEFAULT if no argument given it sets empty value in the clipboard. This method takes an argument of readval variable which is a string. ''' self.readval=readval self.value=t.compute(f"termux-clipboard-set {self.readval}") return self.value["output"] class wifi: ''' The class wifi has two methods: - toggle method switches wifi on or off - connectInfo method gets wifi connection info to stdout. ''' def __init__(self): pass def toggle(self,switch=False): ''' This method has switch as one argument whose default boolean value is false. supply True for true(turn on) and False for false(turn off) ''' self.switch=switch if self.switch == False: self.value=t.compute("termux-wifi-enable false") return self.value["output"] else: self.value=t.compute("termux-wifi-enable true") return self.value["output"] def connectInfo(self): ''' This method returns wifi connection information in stringified format. ''' self.value=t.compute(f"termux-wifi-connectioninfo") return self.value["output"] class volume: ''' The class volume has two methods: - volumeInfo - volumeControl ''' def __init__(self): pass def volumeInfo(self): ''' This method returns all volume info and takes no argument. ''' self.value=t.compute(f"termux-volume") return self.value["output"] def volumeControl(self,stream="ring",volume=5): ''' This method sets the volume of the stream. It takes two arguments: - stream : in str format - volume : in int format ''' self.value=t.compute(f"termux-volume {stream} {volume}") return self.value["output"] class notification: ''' The class notification has two methods: - notification - removeNotification ''' def __init__(self): pass def notification(self,title="title",content="content", *args, **kwargs): ''' This method creates a notification. 'title' and 'content' are mandatory, and all other flags in termux-notification are optional arguments ''' cargs=[] for i in args: cargs.append(f"--{i}") for i in kwargs: cargs.append(f"-{i} {kwargs[i]}" if len(i) == 1 else f"--{i} {kwargs[i]}") self.value=t.compute(f"temux-notification -t {title} -c {content} {' '.join(cargs)}") def removeNotification(self,id): ''' This method removes a notification by the id supplied as an argument ''' self.value=t.compute(f"termux-notification-remove {id}") return self.value["output"]

26.780564

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0.570057

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8,543

4.893832

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0.170248

0.091942

0.069215

0.020248

0

0.003472

0.325764

8,543

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0.271186

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0.008475

0.199349

0.02519

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false

0.059322

0.008475

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0

null

0

null

0

1

0

1

0

2

8338456e9d4d6099460e1bd2a49c5b5cf56d90a9

223

py

Python

05/b_average.py

koshin117/python-learning

68dd99e2f72fff7507a874c11511415fef3c9354

[ "MIT" ]

1

2021-03-29T08:30:19.000Z

05/b_average.py

koshin117/python-learning

68dd99e2f72fff7507a874c11511415fef3c9354

[ "MIT" ]

null

05/b_average.py

koshin117/python-learning

68dd99e2f72fff7507a874c11511415fef3c9354

[ "MIT" ]

null

#B def average(As :list) -> float: return float(sum(As)/len(As)) def main(): # input As = list(map(int, input().split())) # compute # output print(average(As)) if __name__ == '__main__': main()

17.153846

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3.933333

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0

0.246637

223

12

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18.583333

0.702381

0.098655

0

0.040609

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0.285714

false

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0.142857

0.428571

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0

null

0

null

0

1

0

1

0

2

8340e8e017d3e1c1641789fc6d116198178f84f1

2,550

py

Python

qiskit/pulse/instructions/delay.py

gadial/qiskit-terra

0fc83f44a6e80969875c738b2cee7bc33223e45f

[ "Apache-2.0" ]

1

2021-10-05T11:56:53.000Z

qiskit/pulse/instructions/delay.py

gadial/qiskit-terra

0fc83f44a6e80969875c738b2cee7bc33223e45f

[ "Apache-2.0" ]

24

2021-01-27T08:20:27.000Z

2021-07-06T09:42:28.000Z

qiskit/pulse/instructions/delay.py

gadial/qiskit-terra

0fc83f44a6e80969875c738b2cee7bc33223e45f

[ "Apache-2.0" ]

4

2021-10-05T12:07:27.000Z

2022-01-28T18:37:28.000Z

# This code is part of Qiskit. # # (C) Copyright IBM 2020. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """An instruction for blocking time on a channel; useful for scheduling alignment.""" from typing import Optional, Union, Tuple from qiskit.circuit import ParameterExpression from qiskit.pulse.channels import Channel from qiskit.pulse.instructions.instruction import Instruction class Delay(Instruction): """A blocking instruction with no other effect. The delay is used for aligning and scheduling other instructions. Example: To schedule an instruction at time = 10, on a channel assigned to the variable ``channel``, the following could be used:: sched = Schedule(name="Delay instruction example") sched += Delay(10, channel) sched += Gaussian(duration, amp, sigma, channel) The ``channel`` will output no signal from time=0 up until time=10. """ def __init__(self, duration: Union[int, ParameterExpression], channel: Channel, name: Optional[str] = None): """Create a new delay instruction. No other instruction may be scheduled within a ``Delay``. Args: duration: Length of time of the delay in terms of dt. channel: The channel that will have the delay. name: Name of the delay for display purposes. """ super().__init__(operands=(duration, channel), name=name) @property def channel(self) -> Channel: """Return the :py:class:`~qiskit.pulse.channels.Channel` that this instruction is scheduled on. """ return self.operands[1] @property def channels(self) -> Tuple[Channel]: """Returns the channels that this schedule uses.""" return (self.channel, ) @property def duration(self) -> Union[int, ParameterExpression]: """Duration of this instruction.""" return self.operands[0] def is_parameterized(self) -> bool: """Return ``True`` iff the instruction is parameterized.""" return isinstance(self.duration, ParameterExpression) or super().is_parameterized()

35.915493

99

0.671373

325

2,550

5.236923

0.409231

0.014101

0.011751

0

0.008772

0.24

2,550

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100

36.428571

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0.58549

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0.15

0

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0.25

false

0

0.2

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0.7

0

null

0

null

0

1

0

1

0

2

8341a4470393cc4df708339799fbfe8844ec3b50

739

py

Python

mosasaurus/chromaticlc/mptest.py

zkbt/mosasaurus

8ddeaa359adda36e4c48c3c6c476c34fdc09d952

[ "MIT" ]

2

2018-08-03T16:22:27.000Z

2018-09-03T22:46:31.000Z

mosasaurus/chromaticlc/mptest.py

zkbt/mosasaurus

8ddeaa359adda36e4c48c3c6c476c34fdc09d952

[ "MIT" ]

15

2016-11-23T19:59:33.000Z

2019-07-10T13:40:40.000Z

mosasaurus/chromaticlc/mptest.py

zkbt/mosasaurus

8ddeaa359adda36e4c48c3c6c476c34fdc09d952

[ "MIT" ]

1

2016-12-02T20:53:08.000Z

import TransmissionSpectrum import multiprocessing obs = 'wasp94_140805.obs' ncpu = multiprocessing.cpu_count() def fastfit(i): t = TransmissionSpectrum.TransmissionSpectrum(obs) t.speak('starting fit for bin {0}'.format(i)) t.bins[i].fit(plot=False, slow=False, interactive=False, remake=True) def slowfit(i): t = TransmissionSpectrum.TransmissionSpectrum(obs) t.speak('starting fit for bin {0}'.format(i)) t.bins[i].fit(plot=False, slow=True, interactive=False, nburnin=500, ninference=500) pool = multiprocessing.Pool(ncpu) t = TransmissionSpectrum.TransmissionSpectrum(obs) for i in range(len(t.bins)): fastfit(i) #pool.map_async(fastfit, range(len(t.bins))) #pool.map_async(slowfit, range(len(t.bins)))

33.590909

88

0.741543

103

739

5.281553

0.359223

0.045956

0.226103

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0

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0.11502

739

21

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35.190476

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false

0

0.125

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0

null

0

1

0

null

0

2

83441a6b6c5d79e325330fcd2de68468db5ae8e3

8,923

py

Python

Macro/WorkFeature/Utils/WF_curve.py

myao9494/FreeCAD_Factory

6bf3209f2295d306d4c2c8c2ded25839c837e869

[ "MIT" ]

null

Macro/WorkFeature/Utils/WF_curve.py

myao9494/FreeCAD_Factory

6bf3209f2295d306d4c2c8c2ded25839c837e869

[ "MIT" ]

null

Macro/WorkFeature/Utils/WF_curve.py

myao9494/FreeCAD_Factory

6bf3209f2295d306d4c2c8c2ded25839c837e869

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Mar 1 06:59:10 2016 @author: laurent """ from __future__ import division from math import factorial # Pascal's triangle p_t = [ [1], # n=0 [1,1], # n=1 [1,2,1], # n=2 [1,3,3,1], # n=3 [1,4,6,4,1], # n=4 [1,5,10,10,5,1], # n=5 [1,6,15,20,15,6,1]] # n=6 #============================================================================== # binomial(n,k): # while(n >= lut.length): # s = lut.length # nextRow = new array(size=s+1) # nextRow[0] = 1 # for(i=1, prev=s-1; i&ltprev; i++): # nextRow[i] = lut[prev][i-1] + lut[prev][i] # nextRow[s] = 1 # lut.add(nextRow) # return lut[n][k] #============================================================================== def binomial(n, i): """ return binomial terms from Pascal triangle from predefined list or calculate the terms if not already in the list. """ global p_t m_l = len(p_t) while n >= m_l: m_next_row = [] m_next_row.append(1) for m_i in range(1,m_l): m_next_row.append(p_t[m_l-1][m_i-1]+p_t[m_l-1][m_i]) m_next_row.append(1) # print m_next_row p_t.append(m_next_row) m_l = len(p_t) return p_t[n][i] def binomial_term(n, i): """ binomial coefficient = n! / (i!(n - i)!) """ return factorial(n) / (factorial(i) * factorial(n - i)) #============================================================================== # function Bezier(n,t): # sum = 0 # for(k=0; k<n; k++): # sum += n!/(k!*(n-k)!) * (1-t)^(n-k) * t^(k) # return sum #============================================================================== def bezier_base(n, t): """ Basis Bezier function. """ m_sum = 0. m_C = binomial_term for i in range(n): m_sum += m_C(n, i) * (1 - t)**(n - i) * t**i return m_sum #============================================================================== # function Bezier(2,t): # t2 = t * t # mt = 1-t # mt2 = mt * mt # return mt2 + 2*mt*t + t2 #============================================================================== def bezier_quadratic_terms(t): """ Simplified Bezier quadratic curve. Return 3 terms in list () """ m_terms = list() # n=2 i=0 # m_C(n, i) * (1 - t)**(n - i) * t**i # m_C(2, 0) * (1 - t)**(2 - 0) * t**0 # 1 * (1 - t)*(1 - t) * 1 m_terms.append((1 - t)*(1 - t)) # n=2 i=1 # m_C(n, i) * (1 - t)**(n - i) * t**i # m_C(2, 1) * (1 - t)**(2 - 1) * t**1 # 2 * (1 - t) * t m_terms.append(2 * (1 - t) * t) m_terms.append(t*t) return m_terms #============================================================================== # function Bezier(3,t): # t2 = t * t # t3 = t2 * t # mt = 1-t # mt2 = mt * mt # mt3 = mt2 * mt # return mt3 + 3*mt2*t + 3*mt*t2 + t3 #============================================================================== def bezier_cubic_terms(t): """ Simplified Bezier cubic curve. Return 4 terms in list () """ m_terms = list() # n=3 i=0 # m_C(n, i) * (1 - t)**(n - i) * t**i # m_C(3, 0) * (1 - t)**(3 - 0) * t**0 # (1 - t)*(1 - t)*(1 - t) m_terms.append((1 - t)*(1 - t)*(1 - t)) # n=3 i=1 # m_C(n, i) * (1 - t)**(n - i) * t**i # m_C(3, 1) * (1 - t)**(3 - 1) * t**1 # 3 * (1 - t)*(1 - t) * t m_terms.append(3 * (1 - t)*(1 - t) * t) # n=3 i=2 # m_C(n, i) * (1 - t)**(n - i) * t**i # m_C(3, 2) * (1 - t)**(3 - 2) * t**2 # 3 * (1 - t) * t * t m_terms.append(3 * (1 - t) * t * t) m_terms.append(t * t * t) return m_terms def bezier_terms(n, t): """ Bezier curve. Return n+1 terms in list () """ m_terms = list() m_C = binomial_term for i in range(n): m_terms.append( m_C(n, i) * (1 - t)**(n - i) * t**i ) m_terms.append(t ** n) return m_terms #============================================================================== # function Bezier(n,t,w[]): # sum = 0 # for(k=0; k<n; k++): # sum += w[k] * binomial(n,k) * (1-t)^(n-k) * t^(k) # return sum #============================================================================== def bezier_curve(n, t, weigths): """ Basis Bezier function. """ m_sum = 0. m_C = binomial_term for i,w in zip(range(n+1),weigths): m_sum += m_C(n, i) * (1 - t)**(n - i) * t**i * w return m_sum #============================================================================== # function Bezier(2,t,w[]): # t2 = t * t # mt = 1-t # mt2 = mt * mt # return w[0]*mt2 + w[1]*2*mt*t + w[2]*t2 #============================================================================== def bezier_quadratic_curve(t, weigths): if len(weigths) != 3: return None t2 = t * t mt = 1-t mt2 = mt * mt return weigths[0]*mt2 + weigths[1]*2*mt*t + weigths[2]*t2 #============================================================================== # function Bezier(3,t,w[]): # t2 = t * t # t3 = t2 * t # mt = 1-t # mt2 = mt * mt # mt3 = mt2 * mt # return w[0]*mt3 + 3*w[1]*mt2*t + 3*w[2]*mt*t2 + w[3]*t3 #============================================================================== def bezier_cubic_curve(t, weigths): if len(weigths) != 4: return None t2 = t * t t3 = t2 * t mt = 1-t mt2 = mt * mt mt3 = mt2 * mt return weigths[0]*mt3 + weigths[1]*3*mt2*t + weigths[2]*3*mt*t2 + weigths[3]*t3 class Bezier(): """ bezier curve object points : list of control points points = [(-1,-1,0.0),(0,3,0.0)] """ def __init__(self, points): if (None in [points]) : print "\nERROR in : bezier.__init__" print "'points' not defined !" return None n = len(t) pass if __name__ == "__main__": import matplotlib.pyplot as plt import numpy as np t = np.arange(0.0, 1.0, 0.01) b1 = bezier_base(1, t) plt.plot(t, b1) b2 = bezier_base(2, t) plt.plot(t, b2) b3 = bezier_base(3, t) plt.plot(t, b3) plt.xlabel('t values') plt.ylabel('') plt.title('Bezier basis functions : b1(blue), b2(green) and b3(red)') plt.grid(True) plt.show() # print str(binomial(0, 0)) # print str(binomial(1, 0)), # print str(binomial(1, 1)) print ("Pascal's triangle :") for j in range(0,10): for i in range(0,j+1): print str(binomial(j, i)), print "" # m_points = [(-1,-1,0.0),(0,3,0.0)] # bz=Bezier(m_points) t = np.arange(0.0, 1.0, 0.01) t = np.arange(0.0, 1.0, 0.01) b12,b22,b32 = bezier_quadratic_terms(t) plt.plot(t, b12) plt.plot(t, b22) plt.plot(t, b32) plt.xlabel('t values') plt.ylabel('') plt.title('Bezier basis functions terms : quadratic') plt.grid(True) plt.show() t = np.arange(0.0, 1.0, 0.01) b13,b23,b33,b43 = bezier_cubic_terms(t) plt.plot(t, b13) plt.plot(t, b23) plt.plot(t, b33) plt.plot(t, b43) plt.title('Bezier basis functions terms : cubic') plt.show() t = np.arange(0.0, 1.0, 0.01) m_terms = list() m_terms = bezier_terms(15,t) for term in m_terms: plt.plot(t, term) plt.title('Bezier basis functions terms : 15') plt.show() pt1 = (120,160) pt2 = (35,200) pt3 = (220,260) pt4 = (220,40) x = (120,35,220,220) y = (160,200,260,40) t = np.arange(0.0, 1.0, 0.01) m_dim = len(x)-1 m_Xs = bezier_curve(m_dim, t, x) m_Xs = bezier_cubic_curve(t, x) plt.plot(t, m_Xs) plt.title('Bezier curve : X') plt.show() m_dim = len(y)-1 m_Ys = bezier_curve(m_dim, t, y) m_Ys = bezier_cubic_curve(t, y) plt.plot(t, m_Ys) plt.title('Bezier curve : Y') plt.show() plt.plot(m_Xs, m_Ys) plt.plot(x, y, 'o-') plt.show() t = np.arange(-0.2, 1.1, 0.01) m_Xs = bezier_curve(m_dim, t, x) m_Ys = bezier_curve(m_dim, t, y) plt.plot(m_Xs, m_Ys) plt.plot(x, y, 'o-') plt.show() #============================================================================== # import matplotlib as mpl # from mpl_toolkits.mplot3d import Axes3D # import numpy as np # import matplotlib.pyplot as plt # # mpl.rcParams['legend.fontsize'] = 10 # # fig = plt.figure() # ax = fig.gca(projection='3d') # theta = np.linspace(-4 * np.pi, 4 * np.pi, 100) # z = np.linspace(-2, 2, 100) # r = z**2 + 1 # x = r * np.sin(theta) # y = r * np.cos(theta) # ax.plot(x, y, z, label='parametric curve') # ax.legend() # # plt.show() #==============================================================================

27.625387

87

0.420262

1,347

8,923

2.679287

0.130661

0.023275

0.028817

0.008867

0.434192

0.349404

0.303131

0.25381

0.228872

0.187864

0

0.064063

0.274011

8,923

323

88

27.625387

0.493053

0.391124

0

0.368421

0

0.06262

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null

0.006579

0.026316

null

0.032895

0

null

0

1

0

null

0

1

0

2

834c8fddbb55c2d6f805fb0cea2ee12883df1ec1

331

py

Python

debug/read_depth_from_exr_file.py

ccj5351/hmr_rgbd

d1dcf81d72c11e1f502f2c494cd86425f384d9cc

[ "MIT" ]

null

debug/read_depth_from_exr_file.py

ccj5351/hmr_rgbd

d1dcf81d72c11e1f502f2c494cd86425f384d9cc

[ "MIT" ]

1

2020-12-09T07:29:00.000Z

debug/read_depth_from_exr_file.py

ccj5351/hmr_rgbd

d1dcf81d72c11e1f502f2c494cd86425f384d9cc

[ "MIT" ]

null

# !/usr/bin/env python3 # -*-coding:utf-8-*- # @file: read_depth_from_exr_file.py # @brief: # @author: Changjiang Cai, ccai1@stevens.edu, caicj5351@gmail.com # @version: 0.0.1 # @creation date: 10-06-2019 # @last modified: Mon 10 Jun 2019 06:18:44 PM EDT import cv2 dep = cv2.imread("0.exr",-1) # "-1" means any depth or channel;

27.583333

65

0.682779

58

331

3.827586

0.810345

0

0.122807

0.138973

331

11

66

30.090909

0.65614

0.818731

0

0.1

0

1

0

false

0

0.5

0

0.5

0

null

0

1

0

null

0

1

0

2

835b2ca04f52a867e7d976e3a7d13af46d16320d

624

py

Python

adapters/base_adapter.py

juangallostra/moonboard

d4a35857d480ee4bed06faee44e0347e1070b6b8

[ "MIT" ]

null

adapters/base_adapter.py

juangallostra/moonboard

d4a35857d480ee4bed06faee44e0347e1070b6b8

[ "MIT" ]

null

adapters/base_adapter.py

juangallostra/moonboard

d4a35857d480ee4bed06faee44e0347e1070b6b8

[ "MIT" ]

null

from models.problem import Problem class BaseProblemAdapter(): """ Map problem data to a Python object that the renderer can use. """ def map_problem(self, problem_data) -> Problem: """ Given the raw data of a problem, convert it to a Problem object and return it. :param problem_data: Source from which to map the problem :type problem_data: dict :return: Problem object with the parsed problem data as attributes :rtype: Problem :raises NotImplementedError: If the method is not implemented """ raise NotImplementedError

31.2

86

0.658654

78

624

5.217949

0.564103

0.135135

0

0.285256

624

19

87

32.842105

0.912556

0.592949

0

1

0.25

false

0

0.25

0

0.75

0

null

0

null

0

1

0

1

0

2

8361ead530441db9333244ae0f2f8927bfbf291f

2,305

py

Python

bprof/profile.py

joelfrederico/bprof

09ada1e8cb0b2ddee3e212e1721c81964fc5f7a4

[ "MIT" ]

null

bprof/profile.py

joelfrederico/bprof

09ada1e8cb0b2ddee3e212e1721c81964fc5f7a4

[ "MIT" ]

null

bprof/profile.py

joelfrederico/bprof

09ada1e8cb0b2ddee3e212e1721c81964fc5f7a4

[ "MIT" ]

1

2019-10-19T21:22:02.000Z

class BaseFunction: def __init__(self, name, n_calls, internal_ns): self._name = name self._n_calls = n_calls self._internal_ns = internal_ns @property def name(self): return self._name @property def n_calls(self): return self._n_calls @property def internal_ns(self): return self._internal_ns class Lines: def __init__(self, line_str, n_calls, internal, external): self._line_str = line_str self._n_calls = n_calls self._internal = internal self._external = external @property def text(self): return self._line_str @property def n_calls(self): return self._n_calls @property def internal(self): return self._internal @property def external(self): return self._external @property def total(self): return self.internal + self.external class Function(BaseFunction): def __init__(self, name, lines, n_calls, internal_ns): self._name = name self._lines = lines self._n_calls = n_calls self._internal_ns = internal_ns @property def lines(self): return self._lines @property def name(self): return self._name @property def n_calls(self): return self._n_calls @property def internal_ns(self): return self._internal_ns @property def total(self): tot = 0 for line in self.lines: tot += line.total return tot + self.internal_ns class Profile: @staticmethod def from_data(data): profile = Profile() profile._functions = [] for key, fdata in data['functions'].items(): lines = [] for line in fdata['lines']: line = Lines(line['line_str'], line['n_calls'], line['internal_ns'], line['external_ns']) lines.append(line) func = Function(lines=lines, name=fdata['name'], n_calls=fdata['n_calls'], internal_ns=fdata['internal_ns']) profile._functions.append(func) return profile @property def functions(self): return self._functions

22.598039

70

0.577007

265

2,305

4.732075

0.124528

0.086124

0.145136

0.070175

0.413876

0.370813

0.348485

0.300638

0

0.000651

0.333623

2,305

101

71

22.821782

0.815755

0

0.474359

0

0.03167

0

1

0.230769

false

0

0.166667

0.474359

0

null

0

null

0

1

0

1

0

2

83638a87db865ba288d6ca6639d585c34a522b6e

98

py

Python

raspy/io/pwm_channel.py

cyrusbuilt/RasPy

1e34840cc90ea7f19317e881162209d3d819eb09

[ "MIT" ]

null

raspy/io/pwm_channel.py

cyrusbuilt/RasPy

1e34840cc90ea7f19317e881162209d3d819eb09

[ "MIT" ]

null

raspy/io/pwm_channel.py

cyrusbuilt/RasPy

1e34840cc90ea7f19317e881162209d3d819eb09

[ "MIT" ]

null

"""The PWM channel to use.""" CHANNEL0 = 0 """Channel zero.""" CHANNEL1 = 1 """Channel one."""

10.888889

29

0.581633

13

98

4.384615

0.846154

0

0.05

0.183673

98

8

30

12.25

0.6625

0.234694

0

1

0

false

0

1

0

null

0

1

0

null

0

2

83655e2b69ea8d94a79a740f034c0045712e2d9d

97

py

Python

ABC/131/a.py

fumiyanll23/AtCoder

362ca9fcacb5415c1458bc8dee5326ba2cc70b65

[ "MIT" ]

null

ABC/131/a.py

fumiyanll23/AtCoder

362ca9fcacb5415c1458bc8dee5326ba2cc70b65

[ "MIT" ]

null

ABC/131/a.py

fumiyanll23/AtCoder

362ca9fcacb5415c1458bc8dee5326ba2cc70b65

[ "MIT" ]

null

S = str(input()) if S[0]==S[1] or S[1]==S[2] or S[2]==S[3]: print("Bad") else: print("Good")

16.166667

42

0.494845

23

97

2.086957

0.565217

0.083333

0

0.074074

0.164948

97

6

43

16.166667

0.518519

0

0.071429

0

1

0

false

0

0.4

1

0

null

0

1

0

null

0

2

55f05ed10bf6e796822641491b85dc1b12b2b7ba

375

py

Python

model/pet_breed.py

IDRISSOUM/hospital_management

56a768f29269a77bc890d40479a8aacb90867189

[ "Unlicense" ]

null

model/pet_breed.py

IDRISSOUM/hospital_management

56a768f29269a77bc890d40479a8aacb90867189

[ "Unlicense" ]

null

model/pet_breed.py

IDRISSOUM/hospital_management

56a768f29269a77bc890d40479a8aacb90867189

[ "Unlicense" ]

null

# # -*- coding: utf-8 -*- # # Part of BrowseInfo. See LICENSE file for full copyright and licensing details. # # from odoo import api, fields, models, _ # # class pet_breed(models.Model): # _name = 'pet.breed' # # name = fields.Char('Name', required = True) # code = fields.Char('Code') # # # # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:

28.846154

82

0.653333

48

375

5.041667

0.770833

0.066116

0

0.013115

0.186667

375

13

83

28.846154

0.780328

0.92

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

3613f877b238035dadd508a419d964a6d0b3a50e

1,084

py

Python

api/permissions.py

letsdowork/yamdb_api

f493309dc52528d980463047d311d898714f3111

[ "MIT" ]

null

api/permissions.py

letsdowork/yamdb_api

f493309dc52528d980463047d311d898714f3111

[ "MIT" ]

null

api/permissions.py

letsdowork/yamdb_api

f493309dc52528d980463047d311d898714f3111

[ "MIT" ]

null

from rest_framework.permissions import BasePermission, SAFE_METHODS from .models import User class IsAdminOrReadOnly(BasePermission): def has_permission(self, request, view): return bool( request.method in SAFE_METHODS or request.user and request.user.is_authenticated and request.user.is_admin() or request.user.is_superuser) class IsOwnerOrAdmin(BasePermission): def has_object_permission(self, request, view, obj): return bool( obj.author == request.user or request.user and request.user.is_authenticated and request.user.is_admin() or request.user.is_superuser) class IsOwnerOrAllStaff(BasePermission): ALLOWED_USER_ROLES = (User.Roles.MODERATOR, User.Roles.ADMIN) def has_object_permission(self, request, view, obj): return bool( obj.author == request.user or request.user and request.user.is_authenticated and request.user.role in self.ALLOWED_USER_ROLES or request.user.is_superuser)

31.882353

67

0.681734

129

1,084

5.573643

0.286822

0.214186

0.144645

0.111266

0.561892

0.528512

0

0.24631

1,084

33

68

32.848485

0.880049

0

0.625

0

1

0.125

false

0

0.083333

0.125

0.5

0

null

1

0

null

0

1

0

2

3616727077997c5d64715fd00bfc6be4f8ba4ad8

1,323

py

Python

steapy/velocity_field.py

Sparsh-Sharma/SteaPy

d6f3bee7eb1385c83f65f345d466ef740db4ed3b

[ "MIT" ]

1

2017-04-28T13:05:13.000Z

steapy/velocity_field.py

Sparsh-Sharma/SteaPy

d6f3bee7eb1385c83f65f345d466ef740db4ed3b

[ "MIT" ]

null

steapy/velocity_field.py

Sparsh-Sharma/SteaPy

d6f3bee7eb1385c83f65f345d466ef740db4ed3b

[ "MIT" ]

null

import os import numpy from numpy import * import math from scipy import integrate, linalg from matplotlib import pyplot from pylab import * from .integral import * def get_velocity_field(panels, freestream, X, Y): """ Computes the velocity field on a given 2D mesh. Parameters --------- panels: 1D array of Panel objects The source panels. freestream: Freestream object The freestream conditions. X: 2D Numpy array of floats x-coordinates of the mesh points. Y: 2D Numpy array of floats y-coordinate of the mesh points. Returns ------- u: 2D Numpy array of floats x-component of the velocity vector field. v: 2D Numpy array of floats y-component of the velocity vector field. """ # freestream contribution u = freestream.u_inf * math.cos(freestream.alpha) * numpy.ones_like(X, dtype=float) v = freestream.u_inf * math.sin(freestream.alpha) * numpy.ones_like(X, dtype=float) # add the contribution from each source (superposition powers!!!) vec_intregral = numpy.vectorize(integral) for panel in panels: u += panel.sigma / (2.0 * math.pi) * vec_intregral(X, Y, panel, 1, 0) v += panel.sigma / (2.0 * math.pi) * vec_intregral(X, Y, panel, 0, 1) return u, v

29.4

87

0.652305

186

1,323

4.591398

0.370968

0.040984

0.056206

0.065574

0.35363

0.177986

0.086651

0

0.014228

0.256236

1,323

44

88

30.068182

0.853659

0.432351

0

1

0.0625

false

0

0.5

0

0.625

0

null

0

null

0

1

0

1

0

2

3616ce719b349e94d2bd7c4da3e42707eb0de49d

4,125

py

Python

admin/hams_admin/container_manager.py

hku-systems/hams

3a5720657252c650c9a6c5d9b674f7ea6153e557

[ "Apache-2.0" ]

6

2020-08-19T11:46:23.000Z

2021-12-24T07:34:15.000Z

admin/hams_admin/container_manager.py

hku-systems/hams

3a5720657252c650c9a6c5d9b674f7ea6153e557

[ "Apache-2.0" ]

1

2021-03-25T23:40:15.000Z

admin/hams_admin/container_manager.py

hku-systems/hams

3a5720657252c650c9a6c5d9b674f7ea6153e557

[ "Apache-2.0" ]

2

2020-10-31T16:48:39.000Z

2021-03-07T09:14:25.000Z

import abc from .exceptions import HamsException import logging # Constants HAMS_INTERNAL_QUERY_PORT = 1337 HAMS_INTERNAL_MANAGEMENT_PORT = 1338 HAMS_INTERNAL_RPC_PORT = 7000 HAMS_INTERNAL_METRIC_PORT = 1390 HAMS_INTERNAL_REDIS_PORT = 6379 HAMS_DOCKER_LABEL = "ai.hams.container.label" HAMS_NAME_LABEL = "ai.hams.name" HAMS_MODEL_CONTAINER_LABEL = "ai.hams.model_container.label" HAMS_QUERY_FRONTEND_CONTAINER_LABEL = "ai.hams.query_frontend.label" HAMS_MGMT_FRONTEND_CONTAINER_LABEL = "ai.hams.management_frontend.label" HAMS_QUERY_FRONTEND_ID_LABEL = "ai.hams.query_frontend.id" CONTAINERLESS_MODEL_IMAGE = "NO_CONTAINER" HAMS_DOCKER_PORT_LABELS = { 'redis': 'ai.hams.redis.port', 'query_rest': 'ai.hams.query_frontend.query.port', 'query_rpc': 'ai.hams.query_frontend.rpc.port', 'management': 'ai.hams.management.port', 'metric': 'ai.hams.metric.port' } HAMS_METRIC_CONFIG_LABEL = 'ai.hams.metric.config' # NOTE: we use '_' as the delimiter because kubernetes allows the use # '_' in labels but not in deployment names. We force model names and # versions to be compliant with both limitations, so this gives us an extra # character to use when creating labels. _MODEL_CONTAINER_LABEL_DELIMITER = "_" class ClusterAdapter(logging.LoggerAdapter): """ This adapter adds cluster name to logging format. Usage ----- In ContainerManager init process, do: self.logger = ClusterAdapter(logger, {'cluster_name': self.cluster_name}) """ # def process(self, msg, kwargs): # return "[{}] {}".format(self.extra['cluster_name'], msg), kwargs def process(self, msg, kwargs): return "{}".format(msg), kwargs def create_model_container_label(name, version): return "{name}{delim}{version}".format( name=name, delim=_MODEL_CONTAINER_LABEL_DELIMITER, version=version) def parse_model_container_label(label): splits = label.split(_MODEL_CONTAINER_LABEL_DELIMITER) if len(splits) != 2: raise HamsException( "Unable to parse model container label {}".format(label)) return splits class ContainerManager(object): __metaclass__ = abc.ABCMeta @abc.abstractmethod def start_hams(self, query_frontend_image, mgmt_frontend_image, frontend_exporter_image, cache_size, qf_http_thread_pool_size, qf_http_timeout_request, qf_http_timeout_content, num_frontend_replicas): return @abc.abstractmethod def connect(self): return @abc.abstractmethod def connect_host(self, host_ip, host_port): return @abc.abstractmethod def deploy_model(self, name, version, input_type, image): return @abc.abstractmethod def add_replica(self, name, version, input_type, image, proxy_name="", proxy_port="", remove=True, runtime=""): return @abc.abstractmethod def set_proxy(self, image, model_container_label, model_ip, host_ip): return @abc.abstractmethod def get_num_replicas(self, name, version): return @abc.abstractmethod def get_logs(self, logging_dir): return @abc.abstractmethod def stop_models(self, models): return @abc.abstractmethod def stop_all_model_containers(self): return @abc.abstractmethod def stop_all(self, graceful=True): pass @abc.abstractmethod def get_admin_addr(self): return @abc.abstractmethod def get_query_addr(self): return @abc.abstractmethod def get_container_ip(self, host_ip, container_id): return @abc.abstractmethod def grpc_client(self, image, arg_list): return @abc.abstractmethod def check_container_status(self, host_ip, container_id, timeout, threshold): return @abc.abstractmethod def get_docker_client(self, host_ip): return @abc.abstractmethod def add_frontend(self, host_ip, image, runtime_dag_id, entry_proxy_ip, entry_proxy_port, max_workers=64,stateful=False, remove=True): return

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null

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1

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1

0

2

3628f30f1da84eb0aeefd00f476c1a8932e5c523

1,245

py

Python

src/attribute_generator.py

neutron101/cs231A-project

a147a3cc7de66c852dfc6b8cb9c65780c9d55d07

[ "MIT" ]

null

src/attribute_generator.py

neutron101/cs231A-project

a147a3cc7de66c852dfc6b8cb9c65780c9d55d07

[ "MIT" ]

null

src/attribute_generator.py

neutron101/cs231A-project

a147a3cc7de66c852dfc6b8cb9c65780c9d55d07

[ "MIT" ]

null

import numpy as np class AttributeGenerator: def __init__(self, RTs, Ks, Ps): self._RTs = RTs self._Ks = Ks self._Ps = Ps def generate(self): self._update_intrinsics() self._update_translation_and_rotation() self._updateProjection() def use_default_translation_and_rotation(self): self.rotation_translation = self._RTs def _updateProjection(self): self.projection = [] for i in range(len(self.rotation_translation)): kr = self.intrinsics[i].dot(self.rotation_translation[i][0:3,0:3].transpose()) kt = np.reshape(self.intrinsics[i].dot(-1*self.rotation_translation[i][0:3,0:3].transpose().dot(self.rotation_translation[i][0:3,3])), [3,1]) new_projection = np.hstack((kr, kt)) self.projection.append(new_projection) def _update_translation_and_rotation(self): self.rotation_translation = [] base_rot = self._RTs[0][0:3,0:3] base_trans = self._RTs[0][0:3,3] for i in range(0, len(self._RTs)): current = np.linalg.inv(base_rot).dot(self._RTs[i][0:3,0:3]) t = np.linalg.inv(current).dot(self._RTs[i][0:3,3] - base_trans) rt = np.hstack((current, np.reshape(t, [3,1]))) self.rotation_translation.append(rt) def _update_intrinsics(self): self.intrinsics = self._Ks

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null

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362f493d8462bb8006f529fc1fed6929dd628362

1,206

py

Python

providers/scoop_mock_provider.py

prezesp/scoop-viewer

115f413979ba2e4e766e334f0240082a9343e314

[ "MIT" ]

86

2018-07-17T14:21:05.000Z

2022-03-29T03:00:40.000Z

providers/scoop_mock_provider.py

prezesp/scoop-viewer

115f413979ba2e4e766e334f0240082a9343e314

[ "MIT" ]

16

2018-04-24T22:45:24.000Z

2021-12-15T08:37:38.000Z

providers/scoop_mock_provider.py

prezesp/scoop-viewer

115f413979ba2e4e766e334f0240082a9343e314

[ "MIT" ]

5

2018-03-28T18:24:52.000Z

2022-01-08T11:28:31.000Z

""" Module to interact with scoop. """ from subprocess import Popen, PIPE # nosec import os class ScoopMockProvider: """ Module to interact with scoop. """ def __init__(self): self.version = 'unknown' def get_version(self): pass def __run_scoop(self, args, universal_newlines=False): workdir = os.path.dirname(os.path.realpath(__file__)) return Popen(['python', os.path.join(workdir, 'mock', 'scoop.py')] + args, stdin=PIPE, stdout=PIPE, stderr=PIPE, universal_newlines=universal_newlines) # nosec def get_installed(self): # pylint: disable=R0201 """ Get all installed app from scoop. """ stdout, _ = self.__run_scoop(['list']).communicate() stdout = stdout.decode("utf-8") return [a.strip().split(' ')[0] for a in stdout.split('\n')] def install(self, app, file_size_wrapper): # pylint: disable=R0201 """ Install app through scoop. """ _, _ = self.__run_scoop(['install', app]).communicate() def uninstall(self, app): # pylint: disable=R0201 """ Uninstal app. """ _, _ = self.__run_scoop(['uninstall', app]).communicate()

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null

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null

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1

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362ff49962e9b464199213d8822138a4aa8efdf5

515

py

Python

services/movies_streaming_converter/src/models/convertation.py

fuodorov/yacinema

43ad869575fbaab7c7056229538638666aa87110

[ "MIT" ]

null

services/movies_streaming_converter/src/models/convertation.py

fuodorov/yacinema

43ad869575fbaab7c7056229538638666aa87110

[ "MIT" ]

null

services/movies_streaming_converter/src/models/convertation.py

fuodorov/yacinema

43ad869575fbaab7c7056229538638666aa87110

[ "MIT" ]

1

2021-09-30T09:49:40.000Z

import datetime import uuid from typing import Optional from models.base import CustomBaseModel class ConvertVideoIn(CustomBaseModel): source_path: str destination_path: str resolution: str codec_name: Optional[str] = None display_aspect_ratio: Optional[str] = None fps: Optional[int] = None class ConvertVideoCreate(ConvertVideoIn): id: uuid.UUID = uuid.uuid4() created_at: datetime.datetime = datetime.datetime.now() class ConvertVideoOut(CustomBaseModel): result: bool

21.458333

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0.125984

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null

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null

0

1

0

1

0

2

3632e12e345819f464e0f6feced15ba246770c00

5,832

py

Python

quadpy/triangle/_laursen_gellert.py

dariusarnold/quadpy

9dc7c1ebff99d15ae57ed9195cde94d97a599be8

[ "MIT" ]

null

quadpy/triangle/_laursen_gellert.py

dariusarnold/quadpy

9dc7c1ebff99d15ae57ed9195cde94d97a599be8

[ "MIT" ]

null

quadpy/triangle/_laursen_gellert.py

dariusarnold/quadpy

9dc7c1ebff99d15ae57ed9195cde94d97a599be8

[ "MIT" ]

null

from sympy import Rational as frac from ..helpers import article from ._helpers import TriangleScheme, concat, s1, s2, s3 citation = article( authors=["M.E. Laursen", "M. Gellert"], title="Some criteria for numerically integrated matrices and quadrature formulas for triangles", journal="International Journal for Numerical Methods in Engineering", volume="12", number="1", year="1978", pages="67–76", url="https://doi.org/10.1002/nme.1620120107", ) def laursen_gellert_01(): weights, points = s3(1) return TriangleScheme("Laursen-Gellert 1", weights, points, 1, citation) def laursen_gellert_02a(): weights, points = s2([frac(1, 3), frac(1, 6)]) return TriangleScheme("Laursen-Gellert 2a", weights, points, 2, citation) def laursen_gellert_02b(): weights, points = s2([frac(1, 3), frac(1, 2)]) return TriangleScheme("Laursen-Gellert 2b", weights, points, 2, citation) def laursen_gellert_03(): weights, points = concat(s3(-frac(9, 16)), s2([frac(25, 48), frac(1, 5)])) return TriangleScheme("Laursen-Gellert 3", weights, points, 3, citation) def laursen_gellert_04(): weights, points = s1([1.0 / 6.0, 0.659027622374092, 0.231933368553031]) return TriangleScheme("Laursen-Gellert 4", weights, points, 3, citation) def laursen_gellert_05(): weights, points = s2( [0.109951743655322, 0.091576213509771], [0.223381589678011, 0.445948490915965] ) return TriangleScheme("Laursen-Gellert 5", weights, points, 4, citation) def laursen_gellert_06(): weights, points = concat( s3(3.0 / 8.0), s1([5.0 / 48.0, 0.736712498968435, 0.237932366472434]) ) return TriangleScheme("Laursen-Gellert 6", weights, points, 4, citation) def laursen_gellert_07(): weights, points = concat( s3(9.0 / 40.0), s2( [0.125939180544827, 0.101286507323456], [0.132394152788506, 0.470142064105115], ), ) return TriangleScheme("Laursen-Gellert 7", weights, points, 5, citation) def laursen_gellert_08(): weights, points = concat( s2([0.205950504760887, 0.437525248383384]), s1([0.063691414286223, 0.797112651860071, 0.165409927389841]), ) return TriangleScheme("Laursen-Gellert 8", weights, points, 5, citation) def laursen_gellert_09(): weights, points = concat( s2( [0.050844906370207, 0.063089014491502], [0.116786275726379, 0.249286745170910], ), s1([0.082851075618374, 0.636502499121399, 0.310352451033785]), ) return TriangleScheme("Laursen-Gellert 9", weights, points, 6, citation) def laursen_gellert_10(): weights, points = concat( s3(-0.149570044467670), s2( [+0.175615257433204, 0.260345966079038], [+0.053347235608839, 0.065130102902216], ), s1([+0.077113760890257, 0.638444188569809, 0.312865496004875]), ) return TriangleScheme("Laursen-Gellert 10", weights, points, 7, citation) def laursen_gellert_11(): weights, points = concat( s2([0.053077801790233, 0.064930513159165]), s1( [0.070853083692136, 0.284575584249173, 0.517039939069325], [0.069274682079415, 0.313559184384932, 0.043863471792371], ), ) return TriangleScheme("Laursen-Gellert 11", weights, points, 7, citation) def laursen_gellert_12(): weights, points = concat( s3(0.144315607677787), s2( [0.103217370534718, 0.170569307751761], [0.032458497623198, 0.050547228317031], [0.095091634267284, 0.459292588292723], ), s1([0.027230314174435, 0.008394777409958, 0.263112829634638]), ) return TriangleScheme("Laursen-Gellert 12", weights, points, 8, citation) def laursen_gellert_13(): weights, points = concat( s3(0.097135796282799), s2( [0.031334700227139, 0.489682519198738], [0.077827541004774, 0.437089591492937], [0.079647738927210, 0.188203535619033], [0.025577675658698, 0.044729513394453], ), s1([0.043283539377289, 0.036838412054736, 0.221962989160766]), ) return TriangleScheme("Laursen-Gellert 13", weights, points, 9, citation) def laursen_gellert_14(): weights, points = concat( s2( [0.051617202569021, 0.481519834783311], [0.094080073458356, 0.403603979817940], [0.025993571032320, 0.045189009784377], ), s1( [0.045469538047619, 0.136991201264904, 0.218290070971381], [0.035351705089199, 0.030424361728820, 0.222063165537318], ), ) return TriangleScheme("Laursen-Gellert 14", weights, points, 9, citation) def laursen_gellert_15a(): weights, points = concat( s3(0.079894504741240), s2( [0.071123802232377, 0.425086210602091], [0.008223818690464, 0.023308867510000], ), s1( [0.045430592296170, 0.147925626209534, 0.223766973576973], [0.037359856234305, 0.029946031954171, 0.358740141864431], [0.030886656884564, 0.035632559587504, 0.143295370426867], ), ) return TriangleScheme("Laursen-Gellert 15a", weights, points, 10, citation) def laursen_gellert_15b(): weights, points = concat( s3(0.081743329146286), s2( [0.045957963604745, 0.142161101056564], [0.013352968813150, 0.032055373216944], ), s1( [0.063904906396424, 0.148132885783821, 0.321812995288835], [0.034184648162959, 0.029619889488730, 0.369146781827811], [0.025297757707288, 0.028367665339938, 0.163701733737182], ), ) return TriangleScheme("Laursen-Gellert 15b", weights, points, 10, citation)

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false

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0

null

0

1

0

1

0

null

0

2

3645c7b92794db29663c1c763622e5f0554a803c

1,771

py

Python

src/commons/big_query/big_query_job_reference.py

Morgenz/bbq

f0fd3f626841c610aee80ad08a61123b7cccb775

[ "Apache-2.0" ]

41

2018-05-08T11:54:37.000Z

2022-02-09T21:19:17.000Z

src/commons/big_query/big_query_job_reference.py

Morgenz/bbq

f0fd3f626841c610aee80ad08a61123b7cccb775

[ "Apache-2.0" ]

139

2018-06-07T13:45:21.000Z

2021-04-30T20:44:06.000Z

src/commons/big_query/big_query_job_reference.py

Morgenz/bbq

f0fd3f626841c610aee80ad08a61123b7cccb775

[ "Apache-2.0" ]

5

2019-09-11T12:28:24.000Z

2022-02-04T21:38:29.000Z

from src.commons.big_query.copy_job_async.result_check.result_check_request import \ ResultCheckRequest from src.commons.big_query.copy_job_async.task_creator import TaskCreator class BigQueryJobReference(object): def __init__(self, project_id, job_id, location): self.project_id = project_id self.job_id = job_id self.location = location def __str__(self): return "BigQueryJobReference(projectId:{}, job_id:{}, location: {})" \ .format(self.project_id, self.job_id, self.location) def __repr__(self): return self.__str__() def __eq__(self, other): return type(other) is BigQueryJobReference \ and self.project_id == other.project_id \ and self.job_id == other.job_id \ and self.location == other.location def __ne__(self, other): return not (self == other) def create_post_copy_action(self, copy_job_request): TaskCreator.create_copy_job_result_check( ResultCheckRequest( task_name_suffix=copy_job_request.task_name_suffix, copy_job_type_id=copy_job_request.copy_job_type_id, job_reference=self, retry_count=copy_job_request.retry_count, post_copy_action_request=copy_job_request.post_copy_action_request ) ) def to_json(self): return dict(project_id=self.project_id, job_id=self.job_id, location=self.location) @classmethod def from_json(cls, json): return BigQueryJobReference(project_id=json["project_id"], job_id=json["job_id"], location=json["location"])

36.142857

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0.040936

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1,771

48

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false

0

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0.435897

0

null

0

null

0

1

0

1

0

2

364be06117f32488ff211fd30ee702031b4b63f0

935

py

Python

make_mozilla/events/tests/test_paginators.py

Mozilla-GitHub-Standards/54c69db06ef83bda60e995a6c34ecfd168ca028994e40ce817295415bb409f0c

f80e7c0cff97a1e9b301aa04015db983c7645778

[ "BSD-3-Clause" ]

4

2015-05-08T16:58:53.000Z

2019-09-06T05:30:59.000Z

make_mozilla/events/tests/test_paginators.py

Mozilla-GitHub-Standards/54c69db06ef83bda60e995a6c34ecfd168ca028994e40ce817295415bb409f0c

f80e7c0cff97a1e9b301aa04015db983c7645778

[ "BSD-3-Clause" ]

2

2019-02-17T17:44:53.000Z

2019-03-28T03:54:39.000Z

make_mozilla/events/tests/test_paginators.py

Mozilla-GitHub-Standards/54c69db06ef83bda60e995a6c34ecfd168ca028994e40ce817295415bb409f0c

f80e7c0cff97a1e9b301aa04015db983c7645778

[ "BSD-3-Clause" ]

7

2015-05-21T15:38:29.000Z

2019-10-28T23:39:06.000Z

from django.utils import unittest from nose.tools import eq_, ok_ from make_mozilla.events.paginators import results_page sample_results = [1,2,3,4,5,6,7,8,9,0] class TestResultsPage(unittest.TestCase): def test_returns_page_1_if_page_unspecified(self): page = results_page(sample_results, 4) eq_(page.number, 1) def test_returns_page_2_if_asked_for_it(self): page = results_page(sample_results, 4, page = '2') eq_(page.number, 2) def test_returns_page_1_if_asked_for_a_non_number(self): page = results_page(sample_results, 4, page = 'NaN') eq_(page.number, 1) def test_returns_page_3_if_asked_for_a_page_gt_3(self): page = results_page(sample_results, 4, page = '4') eq_(page.number, 3) def test_still_returns_something_if_there_are_no_results(self): page = results_page([], 4) eq_(page.number, 1)

28.333333

67

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935

4.048611

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0.205832

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0.296741

0

0.036885

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935

32

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0.45

0

null

0

1

0

null

0

1

0

2

3657fec70ed8fedb4b5b14e5e0ae343bef42588d

2,324

py

Python

python/src/main/python/pygw/store/rocksdb/options.py

Maxar-Corp/sh-geowave

675781d3898b50c09ee66f57e74cf788286b05d5

[ "Apache-2.0" ]

null

python/src/main/python/pygw/store/rocksdb/options.py

Maxar-Corp/sh-geowave

675781d3898b50c09ee66f57e74cf788286b05d5

[ "Apache-2.0" ]

null

python/src/main/python/pygw/store/rocksdb/options.py

Maxar-Corp/sh-geowave

675781d3898b50c09ee66f57e74cf788286b05d5

[ "Apache-2.0" ]

null

# # Copyright (c) 2013-2020 Contributors to the Eclipse Foundation # # See the NOTICE file distributed with this work for additional information regarding copyright # ownership. All rights reserved. This program and the accompanying materials are made available # under the terms of the Apache License, Version 2.0 which accompanies this distribution and is # available at http://www.apache.org/licenses/LICENSE-2.0.txt #=============================================================================================== from pygw.config import geowave_pkg from pygw.store import DataStoreOptions class RocksDBOptions(DataStoreOptions): """ RocksDB data store options. """ def __init__(self): """ Initializes the RocksDB options class. """ super().__init__(geowave_pkg.datastore.rocksdb.config.RocksDBOptions()) def set_directory(self, directory): """ Sets the directory of the RocksDB database. Args: directory (str): The directory for the database. """ self._java_ref.setDirectory(directory) def get_directory(self): """ Returns: The directory for the RocksDB database. """ return self._java_ref.getDirectory() def set_compact_on_write(self, compact_on_write): """ Sets whether or not to perform compaction on write. Args: compact_on_write (bool): Whether or not to perform compaction on write. """ self._java_ref.setCompactOnWrite(compact_on_write) def is_compact_on_write(self): """ Returns: True if compaction on write is enabled, False otherwise. """ return self._java_ref.isCompactOnWrite() def set_batch_write_size(self, batch_write_size): """ Sets the number of entries to be gathered before performing a batch write operation on the data store. Args: batch_write_size (int): The number of entries to write in batch write operations. """ self._java_ref.setBatchWriteSize(batch_write_size) def get_batch_write_size(self): """ Returns: The number of entries to write in batch write operations. """ return self._java_ref.getBatchWriteSize()

31.835616

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0.039437

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2,324

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0.764706

0

null

0

null

0

1

0

1

0

2

3665bd678eff29512019ffaccbebf303e9c263a9

1,461

py

Python

composer/trainer/devices/device_cpu.py

IanWorley/composer

e4d443012511b387ad495b4add3b3b101d729741

[ "Apache-2.0" ]

null

composer/trainer/devices/device_cpu.py

IanWorley/composer

e4d443012511b387ad495b4add3b3b101d729741

[ "Apache-2.0" ]

null

composer/trainer/devices/device_cpu.py

IanWorley/composer

e4d443012511b387ad495b4add3b3b101d729741

[ "Apache-2.0" ]

null

# Copyright 2021 MosaicML. All Rights Reserved. """The CPU device used for training.""" from __future__ import annotations import logging from contextlib import contextmanager from typing import Any, Dict, Generator, TypeVar, Union import torch from composer.core import Precision from composer.trainer.devices.device import Device, T_nnModule logger = logging.getLogger(__name__) __all__ = ["DeviceCPU"] T_nnModule = TypeVar("T_nnModule", bound=torch.nn.Module) class DeviceCPU(Device): """An extension of :class:`~composer.trainer.devices.device.Device` for CPUs. This class takes no arguments. """ dist_backend = "gloo" _device = torch.device('cpu') def module_to_device(self, module: T_nnModule) -> T_nnModule: return module.to(self._device) def tensor_to_device(self, tensor: torch.Tensor) -> torch.Tensor: return tensor.to(self._device) @contextmanager def precision_context(self, precision: Union[str, Precision]) -> Generator[None, None, None]: precision = Precision(precision) if precision == Precision.FP32: yield else: raise ValueError(f"Precision {precision} not supported for a CPU") def state_dict(self) -> Dict[str, Any]: # CPU device has no RNG state return {} def load_state_dict(self, state: Dict[str, Any]) -> None: if len(state) != 0: raise ValueError("CPU device has no state.")

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97

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184

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0

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false

0

0.241379

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0.62069

0

null

0

null

0

1

0

2

36957809b7a097e9aca4a9f73c606e574242991c

18,656

py

Python

pysnmp-with-texts/SW-VLAN-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/SW-VLAN-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/SW-VLAN-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module SW-VLAN-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SW-VLAN-MIB # Produced by pysmi-0.3.4 at Wed May 1 15:12:44 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueRangeConstraint, ValueSizeConstraint, ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ValueSizeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") enterprises, iso, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Counter32, Integer32, Unsigned32, Gauge32, IpAddress, ObjectIdentity, MibIdentifier, Counter64, TimeTicks, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "enterprises", "iso", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Counter32", "Integer32", "Unsigned32", "Gauge32", "IpAddress", "ObjectIdentity", "MibIdentifier", "Counter64", "TimeTicks", "NotificationType") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") class MacAddress(OctetString): subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(6, 6) fixedLength = 6 class VlanIndex(Integer32): subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 4094) class PortList(OctetString): subtypeSpec = OctetString.subtypeSpec + ValueSizeConstraint(12, 12) fixedLength = 12 marconi = MibIdentifier((1, 3, 6, 1, 4, 1, 326)) systems = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2)) external = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20)) dlink = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1)) dlinkcommon = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 1)) golf = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2)) golfproducts = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 1)) es2000 = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 1, 3)) golfcommon = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2)) marconi_mgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2)).setLabel("marconi-mgmt") es2000Mgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28)) swL2Mgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2)) swVlan = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8)) swVlanCtrl = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 1)) swMacBaseVlan = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2)) swPortBaseVlan = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3)) swVlanCtrlMode = MibScalar((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("disabled", 2), ("mac-base", 3), ("ieee8021q", 4), ("port-base", 5)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swVlanCtrlMode.setStatus('mandatory') if mibBuilder.loadTexts: swVlanCtrlMode.setDescription('This object controls which Vlan function will be enable (or disable) when the switch hub restart at the startup (power on) or warm start.') swVlanInfoStatus = MibScalar((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("disabled", 2), ("mac-base", 3), ("ieee8021q", 4), ("port-base", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: swVlanInfoStatus.setStatus('mandatory') if mibBuilder.loadTexts: swVlanInfoStatus.setDescription('This object indicates which Vlan function be enable (or disable) in mandatoryly stage. There are no effect when change swVlanCtrlMode vlaue in the system running.') swVlanSnmpPortVlan = MibScalar((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 1, 3), VlanIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: swVlanSnmpPortVlan.setStatus('mandatory') if mibBuilder.loadTexts: swVlanSnmpPortVlan.setDescription('Indicates the Vlan which the SNMP port belongs to. The value range is 1 to 4094.') swMacBaseVlanInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 1)) swMacBaseVlanMaxNum = MibScalar((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: swMacBaseVlanMaxNum.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanMaxNum.setDescription('The maximum number of Mac base Vlan allowed by the system.') swMacBaseVlanAddrMaxNum = MibScalar((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: swMacBaseVlanAddrMaxNum.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanAddrMaxNum.setDescription('The maximum number of entries in Mac-based Vlan address table.') swMacBaseVlanCtrlTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 2), ) if mibBuilder.loadTexts: swMacBaseVlanCtrlTable.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanCtrlTable.setDescription('A table that contains information about MAC base Vlan entries for which the switch has forwarding and/or filtering information. This information is used by the transparent switching function in determining how to propagate a received frame.') swMacBaseVlanCtrlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 2, 1), ).setIndexNames((0, "SW-VLAN-MIB", "swMacBaseVlanDesc")) if mibBuilder.loadTexts: swMacBaseVlanCtrlEntry.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanCtrlEntry.setDescription('A list of information about a specific MAC base Vlan configuration portlist for which the switch has some forwarding and/or filtering information.') swMacBaseVlanDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 2, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 12))).setMaxAccess("readonly") if mibBuilder.loadTexts: swMacBaseVlanDesc.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanDesc.setDescription('A textual description of the Mac Base Vlan for memorization. The string cannot set to empty string. There is a default value for this string.') swMacBaseVlanMacMember = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 2, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: swMacBaseVlanMacMember.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanMacMember.setDescription('This object indicates the total number of MAC addresses contained in the VLAN entry.') swMacBaseVlanCtrlState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("other", 1), ("disabled", 2), ("enabled", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swMacBaseVlanCtrlState.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanCtrlState.setDescription('This object indicates the MacBase Vlan state.') swMacBaseVlanAddrTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 3), ) if mibBuilder.loadTexts: swMacBaseVlanAddrTable.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanAddrTable.setDescription('A table that contains information about unicast or multicast entries for which the switch has forwarding and/or filtering information. This information is used by the transparent switching function in determining how to propagate a received frame. Note that the priority of MacBaseVlanAddr table entries is lowest than Filtering Table and FDB Table, i.e. if there is a table hash collision between the entries of MacBaseVlanAddr Table and Filtering Table inside the switch H/W address table, then Filtering Table entry overwrite the colliding entry of MacBaseVlanAddr Table. This state is same of FDB table. See swFdbFilterTable and swFdbStaticTable description also.') swMacBaseVlanAddrEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 3, 1), ).setIndexNames((0, "SW-VLAN-MIB", "swMacBaseVlanAddr")) if mibBuilder.loadTexts: swMacBaseVlanAddrEntry.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanAddrEntry.setDescription('A list of information about a specific unicast or multicast MAC address for which the switch has some forwarding and/or filtering information.') swMacBaseVlanAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 3, 1, 1), MacAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: swMacBaseVlanAddr.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanAddr.setDescription('This object indictaes a unicast or multicast MAC address for which the bridge has forwarding and/or filtering information.') swMacBaseVlanAddrVlanDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 3, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 64))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swMacBaseVlanAddrVlanDesc.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanAddrVlanDesc.setDescription('A textual description of the Mac Base Vlan for memorization.') swMacBaseVlanAddrState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("other", 1), ("invalid", 2), ("valid", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swMacBaseVlanAddrState.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanAddrState.setDescription('This object indicates the MacBase Vlan Address entry state. other(1) - this entry is currently in use but the conditions under which it will remain so are different from each of the following values. invalid(2) - writing this value to the object, and then the corresponding entry will be removed from the table. valid(3) - this entry is reside in the table.') swMacBaseVlanAddrStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 2, 3, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("other", 1), ("apply", 2), ("not-apply", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: swMacBaseVlanAddrStatus.setStatus('mandatory') if mibBuilder.loadTexts: swMacBaseVlanAddrStatus.setDescription('This object indicates the MacBase Vlan Address entry state. other(1) - this entry is currently in use but the conditions under which it will remain so are different from each of the following values. apply(2) - this entry is currently in use and reside in the table. not-apply(3) - this entry is reside in the table but currently not in use due to conflict with filter table.') swPortBaseVlanTotalNum = MibScalar((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: swPortBaseVlanTotalNum.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanTotalNum.setDescription('The total number of Port-Base Vlan which is in enabled state within this switch hub.') swPortBaseVlanDefaultVlanTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 2), ) if mibBuilder.loadTexts: swPortBaseVlanDefaultVlanTable.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanDefaultVlanTable.setDescription('A table that contains default Port-Based VLAN list entries for the switch. The entry (Vid = 1,i.e. swPortBaseVlanDefaultPvid = 1) is defalut Port-Based VLAN , maintained by system.') swPortBaseVlanDefaultVlanEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 2, 1), ).setIndexNames((0, "SW-VLAN-MIB", "swPortBaseVlanDefaultPvid")) if mibBuilder.loadTexts: swPortBaseVlanDefaultVlanEntry.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanDefaultVlanEntry.setDescription('A list of default Port-Based VLAN information in swPortBaseVlanDefaultVlanTable.') swPortBaseVlanDefaultPvid = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: swPortBaseVlanDefaultPvid.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanDefaultPvid.setDescription('This object indicates the default Port-Base Vlan ID. It occupies only 1 entry in VLAN table, with VID=1.') swPortBaseVlanDefaultDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 12))).setMaxAccess("readonly") if mibBuilder.loadTexts: swPortBaseVlanDefaultDesc.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanDefaultDesc.setDescription('A textual description of the Port-Base Vlan.') swPortBaseVlanDefaultPortList = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 2, 1, 3), PortList()).setMaxAccess("readonly") if mibBuilder.loadTexts: swPortBaseVlanDefaultPortList.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanDefaultPortList.setDescription('This object indicates the port member set of the specified Vlan. Each Vlan has a octect string to indicate the port map. The most significant bit represents the lowest numbered port, and the least significant bit represents the highest numbered port.') swPortBaseVlanDefaultPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 2, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: swPortBaseVlanDefaultPortNumber.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanDefaultPortNumber.setDescription('This object indicates the number of ports of the entry.') swPortBaseVlanConfigTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 3), ) if mibBuilder.loadTexts: swPortBaseVlanConfigTable.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanConfigTable.setDescription("A table that contains Port-Based VLAN list entries for the switch. The device can't support port overlapping in Port-Based VLAN.") swPortBaseVlanConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 3, 1), ).setIndexNames((0, "SW-VLAN-MIB", "swPortBaseVlanConfigPvid")) if mibBuilder.loadTexts: swPortBaseVlanConfigEntry.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanConfigEntry.setDescription('A list of information about a specific Port-Based VLAN configuration in swPortBaseVlanConfigTable.') swPortBaseVlanConfigPvid = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 3, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(2, 12))).setMaxAccess("readonly") if mibBuilder.loadTexts: swPortBaseVlanConfigPvid.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanConfigPvid.setDescription('This object indicates the Port-Base Vlan ID. There are up to 11 entries for current product now. The object range varies from 2 to 12.') swPortBaseVlanConfigDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 3, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 12))).setMaxAccess("readwrite") if mibBuilder.loadTexts: swPortBaseVlanConfigDesc.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanConfigDesc.setDescription('A textual description of the Port-Base Vlan. It cannot be a null string. And each description must be unique in the table.') swPortBaseVlanConfigPortList = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 3, 1, 3), PortList()).setMaxAccess("readwrite") if mibBuilder.loadTexts: swPortBaseVlanConfigPortList.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanConfigPortList.setDescription('This object indicates which ports are belong to the Vlan. Each Vlan has a octect string to indicate with port map. The most significant bit represents the lowest numbered port, and the least significant bit represents the highest numbered port.') swPortBaseVlanConfigPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 20, 1, 2, 2, 2, 28, 2, 8, 3, 3, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: swPortBaseVlanConfigPortNumber.setStatus('mandatory') if mibBuilder.loadTexts: swPortBaseVlanConfigPortNumber.setDescription('This object indicates the number of ports of the entry.') mibBuilder.exportSymbols("SW-VLAN-MIB", marconi=marconi, swPortBaseVlanDefaultVlanEntry=swPortBaseVlanDefaultVlanEntry, swVlan=swVlan, swPortBaseVlanConfigTable=swPortBaseVlanConfigTable, golf=golf, swVlanCtrl=swVlanCtrl, swMacBaseVlanAddrEntry=swMacBaseVlanAddrEntry, swPortBaseVlanDefaultDesc=swPortBaseVlanDefaultDesc, swMacBaseVlanAddr=swMacBaseVlanAddr, swMacBaseVlanMacMember=swMacBaseVlanMacMember, swPortBaseVlanConfigPortNumber=swPortBaseVlanConfigPortNumber, swPortBaseVlanDefaultVlanTable=swPortBaseVlanDefaultVlanTable, swPortBaseVlan=swPortBaseVlan, swMacBaseVlanAddrMaxNum=swMacBaseVlanAddrMaxNum, swL2Mgmt=swL2Mgmt, dlinkcommon=dlinkcommon, swPortBaseVlanConfigEntry=swPortBaseVlanConfigEntry, swPortBaseVlanConfigPortList=swPortBaseVlanConfigPortList, swVlanSnmpPortVlan=swVlanSnmpPortVlan, swMacBaseVlanCtrlState=swMacBaseVlanCtrlState, PortList=PortList, external=external, swMacBaseVlanAddrStatus=swMacBaseVlanAddrStatus, swPortBaseVlanTotalNum=swPortBaseVlanTotalNum, swMacBaseVlan=swMacBaseVlan, swVlanInfoStatus=swVlanInfoStatus, swMacBaseVlanDesc=swMacBaseVlanDesc, swPortBaseVlanDefaultPvid=swPortBaseVlanDefaultPvid, dlink=dlink, MacAddress=MacAddress, swVlanCtrlMode=swVlanCtrlMode, golfproducts=golfproducts, systems=systems, swMacBaseVlanCtrlTable=swMacBaseVlanCtrlTable, swMacBaseVlanAddrVlanDesc=swMacBaseVlanAddrVlanDesc, marconi_mgmt=marconi_mgmt, swMacBaseVlanMaxNum=swMacBaseVlanMaxNum, swMacBaseVlanCtrlEntry=swMacBaseVlanCtrlEntry, swPortBaseVlanDefaultPortList=swPortBaseVlanDefaultPortList, swMacBaseVlanAddrTable=swMacBaseVlanAddrTable, swPortBaseVlanConfigPvid=swPortBaseVlanConfigPvid, swPortBaseVlanConfigDesc=swPortBaseVlanConfigDesc, VlanIndex=VlanIndex, swPortBaseVlanDefaultPortNumber=swPortBaseVlanDefaultPortNumber, golfcommon=golfcommon, swMacBaseVlanAddrState=swMacBaseVlanAddrState, es2000Mgmt=es2000Mgmt, es2000=es2000, swMacBaseVlanInfo=swMacBaseVlanInfo)

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3696d9a0ae665b8ea6b0dd59b9953426ce1a1124

424

py

Python

fastparquet/__init__.py

jorisvandenbossche/fastparquet

e783eca9499883a6f025f18cce709c226e21402f

[ "Apache-2.0" ]

null

fastparquet/__init__.py

jorisvandenbossche/fastparquet

e783eca9499883a6f025f18cce709c226e21402f

[ "Apache-2.0" ]

null

fastparquet/__init__.py

jorisvandenbossche/fastparquet

e783eca9499883a6f025f18cce709c226e21402f

[ "Apache-2.0" ]

null

"""parquet - read parquet files.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from .thrift_structures import parquet_thrift from .core import read_thrift from .writer import write from . import core, schema, converted_types, api from .api import ParquetFile from .util import ParquetException __version__ = "0.3.2"

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369bd233d08fbdcd2a214a81e7c5f52a9ce6ed4e

551

py

Python

OSIx/modules/temp_file_manager.py

guibacellar/OSIx

058714c1870bde0d794452b32ad0e62d544bdd90

[ "Apache-2.0" ]

1

2021-08-17T18:45:07.000Z

OSIx/modules/temp_file_manager.py

guibacellar/OSIx

058714c1870bde0d794452b32ad0e62d544bdd90

[ "Apache-2.0" ]

12

2021-08-11T18:24:32.000Z

2021-08-23T14:57:36.000Z

OSIx/modules/temp_file_manager.py

guibacellar/OSIx

058714c1870bde0d794452b32ad0e62d544bdd90

[ "Apache-2.0" ]

null

"""Temporary Files Manager.""" import logging from configparser import ConfigParser from typing import Dict from OSIx.core.base_module import BaseModule from OSIx.core.temp_file import TempFileHandler logger = logging.getLogger() class TempFileManager(BaseModule): """Temporary File Manager.""" def run(self, config: ConfigParser, args: Dict, data: Dict) -> None: """Execute Module.""" if args['purge_temp_files']: TempFileHandler.purge() else: TempFileHandler.remove_expired_entries()

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null

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null

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369df66a1e15a4a67f881d9565ed02382eda4bee

1,237

py

Python

sysinv/sysinv/sysinv/sysinv/tests/helm/test_base.py

albailey/config

40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9

[ "Apache-2.0" ]

10

2020-02-07T18:57:44.000Z

2021-09-11T10:29:34.000Z

sysinv/sysinv/sysinv/sysinv/tests/helm/test_base.py

albailey/config

40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9

[ "Apache-2.0" ]

1

2021-01-14T12:01:55.000Z

sysinv/sysinv/sysinv/sysinv/tests/helm/test_base.py

albailey/config

40ebe63d7dfc6a0a03216ebe55ed3ec9cf5410b9

[ "Apache-2.0" ]

10

2020-10-13T08:37:46.000Z

2022-02-09T00:21:25.000Z

# Copyright (c) 2021 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # import mock from sysinv.helm.base import BaseHelm from sysinv.helm.helm import HelmOperator from sysinv.tests import base as test_base class TestHelmBase(test_base.TestCase): def test_num_replicas_for_platform_app_0_controllers(self): self.check_num_replicas_for_platform_app(num_provisioned_controllers=0, expected_replicas=1) def test_num_replicas_for_platform_app_1_controllers(self): self.check_num_replicas_for_platform_app(num_provisioned_controllers=1, expected_replicas=1) def test_num_replicas_for_platform_app_2_controllers(self): self.check_num_replicas_for_platform_app(num_provisioned_controllers=2, expected_replicas=2) def check_num_replicas_for_platform_app(self, num_provisioned_controllers, expected_replicas): mock_operator = mock.MagicMock(spec=HelmOperator) mock_operator.dbapi = mock.MagicMock() mock_operator.dbapi.count_hosts_matching_criteria.return_value = num_provisioned_controllers base = BaseHelm(mock_operator) actual_replicas = base._num_replicas_for_platform_app() self.assertEqual(actual_replicas, expected_replicas)

37.484848

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null

0

1

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369eb5cfd592210dd63a2cf4b6ab2112394dc2c9

612

py

Python

tests/test_as_decimal.py

lkattis-signal/SignalSDK

f085b9cae0495f4e016b9982df271efc6fd0a8f5

[ "Apache-2.0" ]

10

2020-09-29T06:36:45.000Z

2022-03-14T18:15:50.000Z

tests/test_as_decimal.py

lkattis-signal/SignalSDK

f085b9cae0495f4e016b9982df271efc6fd0a8f5

[ "Apache-2.0" ]

53

2020-10-08T10:05:00.000Z

2022-03-29T14:21:18.000Z

tests/test_as_decimal.py

lkattis-signal/SignalSDK

f085b9cae0495f4e016b9982df271efc6fd0a8f5

[ "Apache-2.0" ]

5

2020-09-25T07:48:04.000Z

2021-11-23T07:08:56.000Z

from decimal import Decimal from signal_ocean._internals import as_decimal def test_handles_None(): assert as_decimal(None) is None def test_handles_empty_strings(): assert as_decimal("") is None def test_parses_strings(): assert as_decimal("12.345") == Decimal("12.345") def test_handles_0(): assert as_decimal(0.0) == Decimal("0.0") def test_converts_floats_to_decimals_exactly(): dec = as_decimal(24.390015) # due to float imprecision, will be 24.39001599999... assert dec != Decimal(24.390015) # will be precisely 24.390015 assert dec == Decimal("24.390015")

20.4

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1

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1

0

2

36ae9333eaabebfa5f7eb2cc25d299b4c6d41d73

4,501

py

Python

tests/test_hexamer/test_search_hexamer.py

zyxue/kleat3

861b02797937eea51e99f9c29d195fb3e7dea376

[ "MIT" ]

null

tests/test_hexamer/test_search_hexamer.py

zyxue/kleat3

861b02797937eea51e99f9c29d195fb3e7dea376

[ "MIT" ]

null

tests/test_hexamer/test_search_hexamer.py

zyxue/kleat3

861b02797937eea51e99f9c29d195fb3e7dea376

[ "MIT" ]

null

import unittest from kleat.hexamer.search import plus_search, minus_search, search from kleat.hexamer.hexamer import extract_seq class TestSearchHexamer(unittest.TestCase): def test_plus_search(self): self.assertEqual(plus_search('GGGAATAAAG', 9), ('AATAAA', 16, 3)) self.assertEqual(plus_search('GGGAATAAA', 9), ('AATAAA', 16, 4)) self.assertEqual(plus_search('GGGAATAAAGG', 9), ('AATAAA', 16, 2)) self.assertEqual(plus_search('GGGATTAAAGG', 9), ('ATTAAA', 15, 2)) self.assertEqual(plus_search('GGGAATAA', 9), None) self.assertEqual(plus_search('GAATAAAC', 10), ('AATAAA', 16, 4)) self.assertEqual(plus_search('GGGGCTAC', 20), ('GGGGCT', 1, 13)) self.assertEqual(plus_search('GTTTATTC', 6), None) def test_plus_search_lowercase(self): seq = 'GAATaaaC' # 4567890 # 1 self.assertEqual(plus_search(seq, 10), ('AATAAA', 16, 4)) def test_plus_search_take_right_most_hexamer(self): self.assertEqual(plus_search('CAATAAANAATAAAC', 200), ('AATAAA', 16, 194)) def test_plus_search_take_right_most_hexamer_with_Ns(self): self.assertEqual(plus_search('GCATTAAAAATNAAC', 200), ('ATTAAA', 15, 188)) def test_plus_search_take_the_strongest_hexamer(self): self.assertEqual(plus_search('GCAATAAAATTAAAC', 200), ('AATAAA', 16, 188)) def test_minus_search(self): seq = 'ATTTATTCCC' # 90123456789 <- one coord # 1 <- ten coord self.assertEqual(minus_search(seq, 9), ('AATAAA', 16, 15)) seq = 'ATTTAATCCC' # 90123456789 <- one coord # 1 <- ten coord self.assertEqual(minus_search(seq, 9), ('ATTAAA', 15, 15)) self.assertEqual(minus_search('GTTTATTC', 1), ('AATAAA', 16, 7)) self.assertEqual(minus_search('ATCGTATATTGC', 5), ('AATATA', 10, 14)) def test_minus_search_lowercase(self): self.assertEqual(minus_search('GTttattc', 1), ('AATAAA', 16, 7)) def test_minus_search_take_left_most_hexamer(self): self.assertEqual(minus_search('GTTTATTTTTATTCG', 10), ('AATAAA', 16, 16)) def test_minus_search_take_left_most_hexamer_with_Ns(self): self.assertEqual(minus_search('GTTTATTNTTTATTNNNTGTATTCG', 10), ('AATAAA', 16, 16)) def test_minus_search_take_the_strongest_hexamer(self): self.assertEqual(minus_search('GTTTAATNTTTATTNNNTGTATTCG', 20), ('AATAAA', 16, 33)) def test_minus_search_take_the_strongest_hexamer_in_lower_case(self): self.assertEqual(minus_search('gtttaatntttattnnntgtattcg', 20), ('AATAAA', 16, 33)) class TestSearch(unittest.TestCase): def test_plus_strand(self): """ CaataaaGT 0123456789 <-genome coord | | PAS clv """ seq = 'CaataaaGT' clv = 9 self.assertEqual(search('+', clv, seq, 50), ('AATAAA', 16, 2)) def test_minus_strand(self): """ GGTTTATT 0123456789 <-genome coord | | clv PAS """ seq = 'GGTTTATT' clv = 1 self.assertEqual(search('-', clv, seq, 50), ('AATAAA', 16, 8)) # Good drawing example, utilize them later # def test_extract_seq_where_for_plus_strand_clv_supported_by_suffix(): # """ # AATAAA AA <-tail of suffix contig # ACGG┘||||└CGGCC┘ <-suffix contig # 0123456789012345 <-contig coord # 1 | # ...7890123456789012... <-genome coord # 1 2| # ^ref_clv # """ # clv = 11 # strand = '+' # contig = MagicMock() # contig.query_sequence = 'ACGGAATAAACGGCCAA' # contig.cigartuples = ((S.BAM_CMATCH, 15), (S.BAM_CSOFT_CLIP, 2)) # ref_fa = MagicMock() # assert extract_seq(contig, strand, clv, ref_fa) == 'ACGGAATAAACGGCC' # def test_extract_seq_where_for_minus_strand_clv_supported_by_suffix(): # """ # TTT TTTATT <-tail of suffix contig # └AC┘||||└CGGC <-suffix contig # 012345678901 <-contig coord # | 1 # ...890123456789... <-genome coord # | 1 # ^ref_clv # """ # clv = 11 # strand = '+' # contig = MagicMock() # contig.query_sequence = 'TTACTTTATTCGC' # contig.cigartuples = ((S.BAM_CMATCH, 15), (S.BAM_CSOFT_CLIP, 2)) # ref_fa = MagicMock() # assert extract_seq(contig, strand, clv, ref_fa) == 'ACTTTATTCGC'

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1

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36b37042d59ea92a31e186729793c7340e94c845

773

py

Python

tests/test_quaternionic.py

mhostetter/quaternionic

159ba7caa41afe33172373ebe4119209577812c1

[ "MIT" ]

40

2020-08-11T22:13:49.000Z

2022-03-25T08:10:19.000Z

tests/test_quaternionic.py

mhostetter/quaternionic

159ba7caa41afe33172373ebe4119209577812c1

[ "MIT" ]

28

2020-08-27T17:09:34.000Z

2022-03-27T19:56:57.000Z

tests/test_quaternionic.py

mhostetter/quaternionic

159ba7caa41afe33172373ebe4119209577812c1

[ "MIT" ]

6

2020-09-05T13:12:51.000Z

2022-03-10T02:59:05.000Z

import warnings import numpy as np import quaternionic import pytest def test_constants(): for const in ['one', 'x', 'y', 'z', 'i', 'j', 'k']: assert hasattr(quaternionic, const) c = getattr(quaternionic, const) with pytest.raises(ValueError): c *= 1.2 assert np.equal(quaternionic.one, quaternionic.array(1, 0, 0, 0)) assert np.equal(quaternionic.x, quaternionic.array(0, 1, 0, 0)) assert np.equal(quaternionic.i, quaternionic.array(0, 1, 0, 0)) assert np.equal(quaternionic.y, quaternionic.array(0, 0, 1, 0)) assert np.equal(quaternionic.j, quaternionic.array(0, 0, 1, 0)) assert np.equal(quaternionic.z, quaternionic.array(0, 0, 0, 1)) assert np.equal(quaternionic.k, quaternionic.array(0, 0, 0, 1))

38.65

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null

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null

0

1

0

2

36b4217be63fc502a7a8b608b61caf14733e4c6e

1,477

py

Python

carla_ros_bridge/src/carla_ros_bridge/coordinate_converter.py

OlafOrangi/ros-bridge

732d5f99e5e1f4d0ea7e4873ccc34f0a40f1203c

[ "MIT" ]

null

carla_ros_bridge/src/carla_ros_bridge/coordinate_converter.py

OlafOrangi/ros-bridge

732d5f99e5e1f4d0ea7e4873ccc34f0a40f1203c

[ "MIT" ]

null

carla_ros_bridge/src/carla_ros_bridge/coordinate_converter.py

OlafOrangi/ros-bridge

732d5f99e5e1f4d0ea7e4873ccc34f0a40f1203c

[ "MIT" ]

null

#!/usr/bin/env python from geometry_msgs.msg import Pose, Point, Quaternion, Vector3 import numpy as np import tf def convert_pose(pose): """ convert pose between left and right-hand coordinate system :param pose: pose to be converted :return: converted pose """ data = Pose() data.position = convert_vector3(pose.position) data.orientation = convert_quaternion(pose.orientation) return data def convert_vector3(pt): """ convert vector3 between left and right-hand coordinate system :param pt: point to be converted :return: converted point """ return Vector3(pt.x, -pt.y, pt.z) def convert_point(pt): """ convert point between left and right-hand coordinate system :param pt: point to be converted :return: converted point """ return Point(pt.x, -pt.y, pt.z) def convert_quaternion(q): """ convert quaternion between left and right-hand coordinate system :param q: quaternion to be converted :return: converted quaternion """ euler = tf.transformations.euler_from_quaternion([q.x, q.y, q.z, q.w]) euler = (euler[0], euler[1], -euler[2]) return Quaternion(*tf.transformations.quaternion_from_euler(*euler)) def convert_euler(euler): """ convert euler angles between left and right-hand coordinate system :param euler: euler angles to be converted :return: converted euler angles """ return Vector3(euler.x, euler.y, -euler.z)

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36c29207131a5d0aabb533544ef1349cab67ea61

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py

Python

src/arch/riscv/RiscvCPU.py

yclin99/CS251A_final_gem5

391ca1d7c9484f4d58fce9a4424821dcbb2463ac

[ "BSD-3-Clause" ]

1

2022-03-25T13:18:26.000Z

src/arch/riscv/RiscvCPU.py

yclin99/CS251A_final_gem5

391ca1d7c9484f4d58fce9a4424821dcbb2463ac

[ "BSD-3-Clause" ]

1

2022-03-25T14:15:30.000Z

src/arch/riscv/RiscvCPU.py

ksco/gem5-xiangshan

0baf1b5229885d81d689a677102f0665aaac5514

[ "BSD-3-Clause" ]

null

# Copyright 2021 Google, Inc. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer; # redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution; # neither the name of the copyright holders nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. from m5.objects.BaseAtomicSimpleCPU import BaseAtomicSimpleCPU from m5.objects.BaseNonCachingSimpleCPU import BaseNonCachingSimpleCPU from m5.objects.BaseTimingSimpleCPU import BaseTimingSimpleCPU from m5.objects.BaseO3CPU import BaseO3CPU from m5.objects.BaseMinorCPU import BaseMinorCPU from m5.objects.RiscvDecoder import RiscvDecoder from m5.objects.RiscvMMU import RiscvMMU from m5.objects.RiscvInterrupts import RiscvInterrupts from m5.objects.RiscvISA import RiscvISA class RiscvCPU: ArchDecoder = RiscvDecoder ArchMMU = RiscvMMU ArchInterrupts = RiscvInterrupts ArchISA = RiscvISA class RiscvAtomicSimpleCPU(BaseAtomicSimpleCPU, RiscvCPU): mmu = RiscvMMU() class RiscvNonCachingSimpleCPU(BaseNonCachingSimpleCPU, RiscvCPU): mmu = RiscvMMU() class RiscvTimingSimpleCPU(BaseTimingSimpleCPU, RiscvCPU): mmu = RiscvMMU() class RiscvO3CPU(BaseO3CPU, RiscvCPU): mmu = RiscvMMU() class RiscvMinorCPU(BaseMinorCPU, RiscvCPU): mmu = RiscvMMU()

44.232143

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0

1

0

1

0

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36c4f0d8dd30675016f1cde8a4e0b430d5e215ed

164

py

Python

misc/validateInput.py

viju4you/Python

3c4a3a46265e71fc21da62d2cb204d20dcd9ec62

[ "CC0-1.0" ]

110

2017-03-11T23:37:46.000Z

2021-07-12T11:51:32.000Z

misc/validateInput.py

viju4you/Python

3c4a3a46265e71fc21da62d2cb204d20dcd9ec62

[ "CC0-1.0" ]

null

misc/validateInput.py

viju4you/Python

3c4a3a46265e71fc21da62d2cb204d20dcd9ec62

[ "CC0-1.0" ]

52

2016-11-27T19:50:40.000Z

2022-02-09T06:37:24.000Z

# Validate input while True: print('Enter your age:') age = input() if age.isdecimal(): break print('Pleas enter a number for your age.')

16.4

47

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4.454545

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1

0

null

0

1

0

null

0

2

36cae8cc11223214274fe92b0ac8c6515461f9fe

1,825

py

Python

funing/_ui/about.py

larryw3i/Funing

8ef88af8766f0246614517fa00f3b322ba722d6b

[ "MIT" ]

1

2021-08-22T05:56:09.000Z

funing/_ui/about.py

larryw3i/Funing

8ef88af8766f0246614517fa00f3b322ba722d6b

[ "MIT" ]

null

funing/_ui/about.py

larryw3i/Funing

8ef88af8766f0246614517fa00f3b322ba722d6b

[ "MIT" ]

null

import gettext import os import re import subprocess import sys import time import tkinter as tk import tkinter.filedialog as tkf import uuid import webbrowser from datetime import date, datetime from enum import Enum from tkinter import * from tkinter import messagebox from tkinter.ttk import * import cv2 import numpy as np import pygubu import yaml from PIL import Image, ImageTk from funing import * from funing.locale import _ from funing.settings import * translator = _ class AboutTkApplication(pygubu.TkApplication): def __init__(self): # pygubu builder self.builder = pygubu.Builder(translator) # ui files about_ui_path = os.path.join( os.path.join(project_path, 'ui'), 'about.ui') # add ui files self.builder.add_from_file(about_ui_path) self.mainwindow = None self.is_showing = False def on_about_ok_btn_clicked(self): self.about_ok() def about_ok(self): self.trigger() def quit(self, event=None): self.mainwindow.withdraw() self.is_showing = False def run(self): if not self.mainwindow: self.mainwindow = self.builder.get_object('about_toplevel') self.mainwindow.title(_('About Funing')) self.builder.get_object('version_label')['text'] = version self.mainwindow.protocol("WM_DELETE_WINDOW", self.on_closing) # connect callbacks self.builder.connect_callbacks(self) else: self.mainwindow.deiconify() self.is_showing = True def on_closing(self): self.quit() def trigger(self): if not self.is_showing: self.run() else: self.quit() def view_source_code(self, *args): webbrowser.open(source_page)

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0.656438

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0.04475

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1,825

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0.860638

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0.396552

0

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0

null

0

null

0

1

0

1

0

2

36d22a39c7974086f08155ff6bf52d3cb2267f62

574

py

Python

blender/arm/logicnode/transform/LN_separate_quaternion.py

niacdoial/armory

3f9b633fbf772017c576a3f77695a6c28d9956e1

[ "Zlib" ]

null

blender/arm/logicnode/transform/LN_separate_quaternion.py

niacdoial/armory

3f9b633fbf772017c576a3f77695a6c28d9956e1

[ "Zlib" ]

null

blender/arm/logicnode/transform/LN_separate_quaternion.py

niacdoial/armory

3f9b633fbf772017c576a3f77695a6c28d9956e1

[ "Zlib" ]

null

from arm.logicnode.arm_nodes import * class SeparateQuaternionNode(ArmLogicTreeNode): """TO DO.""" bl_idname = 'LNSeparateQuaternionNode' bl_label = "Separate Quaternion" arm_section = 'quaternions' arm_version = 1 def init(self, context): super(SeparateQuaternionNode, self).init(context) self.add_input('NodeSocketVector', 'Quaternion') self.add_output('NodeSocketFloat', 'X') self.add_output('NodeSocketFloat', 'Y') self.add_output('NodeSocketFloat', 'Z') self.add_output('NodeSocketFloat', 'W')

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null

0

1

0

2

36d6b30d341d10b3fc5496de476fb8b78f692188

460

py

Python

openapi/tests/matchers.py

suihanki/openapi

c67ee4ec0284bc1da5bda2c6b8497d6a33bb69a0

[ "Apache-2.0" ]

25

2016-08-09T18:40:42.000Z

2019-07-15T20:37:13.000Z

openapi/tests/matchers.py

suihanki/openapi

c67ee4ec0284bc1da5bda2c6b8497d6a33bb69a0

[ "Apache-2.0" ]

5

2016-08-16T18:34:44.000Z

2020-03-24T21:01:26.000Z

openapi/tests/matchers.py

suihanki/openapi

c67ee4ec0284bc1da5bda2c6b8497d6a33bb69a0

[ "Apache-2.0" ]

11

2016-09-14T09:12:49.000Z

2020-01-31T19:27:07.000Z

""" Custom hamcrest matchers. """ from hamcrest.core.base_matcher import BaseMatcher from json import dumps, loads class JSONMatcher(BaseMatcher): """ Match JSON content. """ def __init__(self, s): self.json = loads(s) def _matches(self, item): return loads(item) == self.json def describe_to(self, description): description.append_text("json ").append_text(dumps(self.json)) equal_to_json = JSONMatcher

18.4

70

0.671739

56

460

5.321429

0.517857

0.080537

0

0.213043

460

24

71

19.166667

0.823204

0.097826

0

0.012788

0

1

0.3

false

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0

null

0

null

0

1

0

1

0

2

36d90f9194a3f4a5adea321bf4cf9176ed0ded59

250

py

Python

Wyklad/OOP/Sheep.py

tborzyszkowski/PythonWorld

dc776d3ab4569297b6b6681e4390aeedf1262c78

[ "MIT" ]

3

2019-02-24T07:49:33.000Z

2022-01-09T11:27:21.000Z

Wyklad/OOP/Sheep.py

tborzyszkowski/PythonWorld

dc776d3ab4569297b6b6681e4390aeedf1262c78

[ "MIT" ]

null

Wyklad/OOP/Sheep.py

tborzyszkowski/PythonWorld

dc776d3ab4569297b6b6681e4390aeedf1262c78

[ "MIT" ]

17

2018-12-09T08:44:52.000Z

2022-01-25T15:08:04.000Z

from Animal import Animal class Sheep(Animal): def __init__(self, sheep=None, position=None): super(Sheep, self).__init__(sheep, position) def clone(self): return Sheep(self, None) def initParams(self): self.power = 3 self.sign = 'S'

16.666667

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250

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null

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null

0

1

0

1

0

2

7fc685dc97d5c6a0bef64129b54db775abc19da1

21,614

py

Python

polyaxon_schemas/layers/core.py

gzcf/polyaxon-schemas

a381280cd7535f64158d52f0a9eff2afec997d90

[ "MIT" ]

null

polyaxon_schemas/layers/core.py

gzcf/polyaxon-schemas

a381280cd7535f64158d52f0a9eff2afec997d90

[ "MIT" ]

null

polyaxon_schemas/layers/core.py

gzcf/polyaxon-schemas

a381280cd7535f64158d52f0a9eff2afec997d90

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function from marshmallow import fields, post_dump, post_load, validate from polyaxon_schemas.constraints import ConstraintSchema from polyaxon_schemas.initializations import ( GlorotNormalInitializerConfig, InitializerSchema, ZerosInitializerConfig ) from polyaxon_schemas.layers.base import BaseLayerConfig, BaseLayerSchema from polyaxon_schemas.regularizations import RegularizerSchema from polyaxon_schemas.utils import ACTIVATION_VALUES, DType, StrOrFct class MaskingSchema(BaseLayerSchema): mask_value = fields.Int() class Meta: ordered = True @post_load def make(self, data): return MaskingConfig(**data) @post_dump def unmake(self, data): return MaskingConfig.remove_reduced_attrs(data) class MaskingConfig(BaseLayerConfig): """Masks a sequence by using a mask value to skip timesteps. For each timestep in the input tensor (dimension #1 in the tensor), if all values in the input tensor at that timestep are equal to `mask_value`, then the timestep will be masked (skipped) in all downstream layers (as long as they support masking). If any downstream layer does not support masking yet receives such an input mask, an exception will be raised. Example: Consider a Numpy data array `x` of shape `(samples, timesteps, features)`, to be fed to a LSTM layer. You want to mask timestep #3 and #5 because you lack data for these timesteps. You can: - set `x[:, 3, :] = 0.` and `x[:, 5, :] = 0.` - insert a `Masking` layer with `mask_value=0.` before the LSTM layer: ```python x = Masking(mask_value=0., input_shape=(timesteps, features))(x) x = LSTM(32)(x) ``` Polyaxonfile usage: ```yaml Masking: mask_value: 0 ``` """ IDENTIFIER = 'Masking' SCHEMA = MaskingSchema def __init__(self, mask_value=0., **kwargs): super(MaskingConfig, self).__init__(**kwargs) self.mask_value = mask_value class DropoutSchema(BaseLayerSchema): rate = fields.Float(validate=validate.Range(0, 1)) noise_shape = fields.List(fields.Int(), default=None, missing=None) seed = fields.Int(default=None, missing=None) class Meta: ordered = True @post_load def make(self, data): return DropoutConfig(**data) @post_dump def unmake(self, data): return DropoutConfig.remove_reduced_attrs(data) class DropoutConfig(BaseLayerConfig): """Applies Dropout to the input. Dropout consists in randomly setting a fraction `rate` of input units to 0 at each update during training time, which helps prevent overfitting. Args: rate: float between 0 and 1. Fraction of the input units to drop. noise_shape: 1D integer tensor representing the shape of the binary dropout mask that will be multiplied with the input. For instance, if your inputs have shape `(batch_size, timesteps, features)` and you want the dropout mask to be the same for all timesteps, you can use `noise_shape=(batch_size, 1, features)`. seed: A Python integer to use as random seed. Polyaxonfile usage: ```yaml Dropout: rate: 0.5 ``` """ IDENTIFIER = 'Dropout' SCHEMA = DropoutSchema def __init__(self, rate, noise_shape=None, seed=None, **kwargs): super(DropoutConfig, self).__init__(**kwargs) self.rate = rate self.noise_shape = noise_shape self.seed = seed class SpatialDropout1DSchema(DropoutSchema): class Meta: ordered = True @post_load def make(self, data): return SpatialDropout1DConfig(**data) @post_dump def unmake(self, data): return SpatialDropout1DConfig.remove_reduced_attrs(data) class SpatialDropout1DConfig(DropoutConfig): """Spatial 1D version of Dropout. This version performs the same function as Dropout, however it drops entire 1D feature maps instead of individual elements. If adjacent frames within feature maps are strongly correlated (as is normally the case in early convolution layers) then regular dropout will not regularize the activations and will otherwise just result in an effective learning rate decrease. In this case, SpatialDropout1D will help promote independence between feature maps and should be used instead. Args: rate: float between 0 and 1. Fraction of the input units to drop. Input shape: 3D tensor with shape: `(samples, timesteps, channels)` Output shape: Same as input References: - [Efficient Object Localization Using Convolutional Networks](https://arxiv.org/abs/1411.4280) Polyaxonfile usage: ```yaml SpatialDropout1D: rate: 0.5 ``` """ IDENTIFIER = 'SpatialDropout1D' SCHEMA = SpatialDropout1DSchema class SpatialDropout2DSchema(DropoutSchema): data_format = fields.Str(default=None, missing=None, validate=validate.OneOf('channels_first', 'channels_last')) class Meta: ordered = True @post_load def make(self, data): return SpatialDropout2DConfig(**data) @post_dump def unmake(self, data): return SpatialDropout2DConfig.remove_reduced_attrs(data) class SpatialDropout2DConfig(DropoutConfig): """Spatial 2D version of Dropout. This version performs the same function as Dropout, however it drops entire 2D feature maps instead of individual elements. If adjacent pixels within feature maps are strongly correlated (as is normally the case in early convolution layers) then regular dropout will not regularize the activations and will otherwise just result in an effective learning rate decrease. In this case, SpatialDropout2D will help promote independence between feature maps and should be used instead. Args: rate: float between 0 and 1. Fraction of the input units to drop. data_format: 'channels_first' or 'channels_last'. In 'channels_first' mode, the channels dimension (the depth) is at index 1, in 'channels_last' mode is it at index 3. If you never set it, then it will be "channels_last". Input shape: 4D tensor with shape: `(samples, channels, rows, cols)` if data_format='channels_first' or 4D tensor with shape: `(samples, rows, cols, channels)` if data_format='channels_last'. Output shape: Same as input References: - [Efficient Object Localization Using Convolutional Networks](https://arxiv.org/abs/1411.4280) Polyaxonfile usage: ```yaml SpatialDropout2D: rate: 0.5 ``` """ IDENTIFIER = 'SpatialDropout2D' SCHEMA = SpatialDropout2DSchema def __init__(self, rate, data_format=None, **kwargs): super(SpatialDropout2DConfig, self).__init__(rate, **kwargs) self.data_format = data_format class SpatialDropout3DSchema(DropoutSchema): data_format = fields.Str(default=None, missing=None, validate=validate.OneOf('channels_first', 'channels_last')) class Meta: ordered = True @post_load def make(self, data): return SpatialDropout3DConfig(**data) @post_dump def unmake(self, data): return SpatialDropout3DConfig.remove_reduced_attrs(data) class SpatialDropout3DConfig(DropoutConfig): """Spatial 3D version of Dropout. This version performs the same function as Dropout, however it drops entire 3D feature maps instead of individual elements. If adjacent voxels within feature maps are strongly correlated (as is normally the case in early convolution layers) then regular dropout will not regularize the activations and will otherwise just result in an effective learning rate decrease. In this case, SpatialDropout3D will help promote independence between feature maps and should be used instead. Args: rate: float between 0 and 1. Fraction of the input units to drop. data_format: 'channels_first' or 'channels_last'. In 'channels_first' mode, the channels dimension (the depth) is at index 1, in 'channels_last' mode is it at index 4. If you never set it, then it will be "channels_last". Input shape: 5D tensor with shape: `(samples, channels, dim1, dim2, dim3)` if data_format='channels_first' or 5D tensor with shape: `(samples, dim1, dim2, dim3, channels)` if data_format='channels_last'. Output shape: Same as input References: - [Efficient Object Localization Using Convolutional Networks](https://arxiv.org/abs/1411.4280) Polyaxonfile usage: ```yaml SpatialDropout3D: rate: 0.5 ``` """ IDENTIFIER = 'SpatialDropout3D' SCHEMA = SpatialDropout3DSchema def __init__(self, rate, data_format=None, **kwargs): super(SpatialDropout3DConfig, self).__init__(rate, **kwargs) self.data_format = data_format class ActivationSchema(BaseLayerSchema): activation = StrOrFct(allow_none=True, validate=validate.OneOf(ACTIVATION_VALUES)) class Meta: ordered = True @post_load def make(self, data): return ActivationConfig(**data) @post_dump def unmake(self, data): return ActivationConfig.remove_reduced_attrs(data) class ActivationConfig(BaseLayerConfig): """Applies an activation function to an output. Args: activation: name of activation function. Input shape: Arbitrary. Use the keyword argument `input_shape` (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model. Output shape: Same shape as input. Polyaxonfile usage: ```yaml Activation: activation: tanh ``` """ IDENTIFIER = 'Activation' SCHEMA = ActivationSchema def __init__(self, activation, **kwargs): super(ActivationConfig, self).__init__(**kwargs) self.activation = activation class ReshapeSchema(BaseLayerSchema): target_shape = fields.List(fields.Int()) class Meta: ordered = True @post_load def make(self, data): return ReshapeConfig(**data) @post_dump def unmake(self, data): return ReshapeConfig.remove_reduced_attrs(data) class ReshapeConfig(BaseLayerConfig): """Reshapes an output to a certain shape. Args: target_shape: target shape. Tuple of integers, does not include the samples dimension (batch size). Input shape: Arbitrary, although all dimensions in the input shaped must be fixed. Use the keyword argument `input_shape` (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model. Output shape: `(batch_size,) + target_shape` Example: ```python # as first layer in a Sequential model x = Reshape((3, 4))(x) # now: x.output_shape == (None, 3, 4) # note: `None` is the batch dimension # also supports shape inference using `-1` as dimension x = Reshape((-1, 2, 2))(x) # now: x.output_shape == (None, 3, 2, 2) ``` Polyaxonfile usage: ```yaml Reshape: target_shape: [-1, 2, 2] ``` """ IDENTIFIER = 'Reshape' SCHEMA = ReshapeSchema def __init__(self, target_shape, **kwargs): super(ReshapeConfig, self).__init__(**kwargs) self.target_shape = target_shape class PermuteSchema(BaseLayerSchema): dims = fields.List(fields.Int()) class Meta: ordered = True @post_load def make(self, data): return PermuteConfig(**data) @post_dump def unmake(self, data): return PermuteConfig.remove_reduced_attrs(data) class PermuteConfig(BaseLayerConfig): """Permutes the dimensions of the input according to a given pattern. Useful for e.g. connecting RNNs and convnets together. Args: dims: Tuple of integers. Permutation pattern, does not include the samples dimension. Indexing starts at 1. For instance, `(2, 1)` permutes the first and second dimension of the input. Input shape: Arbitrary. Use the keyword argument `input_shape` (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model. Output shape: Same as the input shape, but with the dimensions re-ordered according to the specified pattern. Example: ```python x = Permute((2, 1), input_shape=(10, 64))(x) # now: X.output_shape == (None, 64, 10) # note: `None` is the batch dimension ``` Polyaxonfile usage: ```yaml Reshape: target_shape: [-1, 2, 2] ``` """ IDENTIFIER = 'Permute' SCHEMA = PermuteSchema def __init__(self, dims, **kwargs): super(PermuteConfig, self).__init__(**kwargs) self.dims = dims class FlattenSchema(BaseLayerSchema): class Meta: ordered = True @post_load def make(self, data): return FlattenConfig(**data) @post_dump def unmake(self, data): return FlattenConfig.remove_reduced_attrs(data) class FlattenConfig(BaseLayerConfig): """Flattens the input. Does not affect the batch size. Example: ```python x = Convolution2D(64, 3, 3, border_mode='same', input_shape=(3, 32, 32))(x) # now: x.output_shape == (None, 64, 32, 32) x = Flatten()(x) # now: x.output_shape == (None, 65536) ``` Polyaxonfile usage: ```yaml Flatten: ``` """ IDENTIFIER = 'Flatten' SCHEMA = FlattenSchema class RepeatVectorSchema(BaseLayerSchema): n = fields.Int() class Meta: ordered = True @post_load def make(self, data): return RepeatVectorConfig(**data) @post_dump def unmake(self, data): return RepeatVectorConfig.remove_reduced_attrs(data) class RepeatVectorConfig(BaseLayerConfig): """Repeats the input n times. Example: ```python x = Dense(32)(x) # now: x.output_shape == (None, 32) # note: `None` is the batch dimension x = RepeatVector(3)(x) # now: x.output_shape == (None, 3, 32) ``` Args: n: integer, repetition factor. Input shape: 2D tensor of shape `(num_samples, features)`. Output shape: 3D tensor of shape `(num_samples, n, features)`. Polyaxonfile usage: ```yaml RepeatVector: n: 32 ``` """ IDENTIFIER = 'RepeatVector' SCHEMA = RepeatVectorSchema def __init__(self, n, **kwargs): super(RepeatVectorConfig, self).__init__(**kwargs) self.n = n # class LambdaSchema(BaseLayerSchema): class DenseSchema(BaseLayerSchema): units = fields.Int() activation = StrOrFct(allow_none=True, validate=validate.OneOf(ACTIVATION_VALUES)) use_bias = fields.Bool(allow_none=True) kernel_initializer = fields.Nested(InitializerSchema, allow_none=True) bias_initializer = fields.Nested(InitializerSchema, allow_none=True) kernel_regularizer = fields.Nested(RegularizerSchema, allow_none=True) bias_regularizer = fields.Nested(RegularizerSchema, allow_none=True) activity_regularizer = fields.Nested(RegularizerSchema, allow_none=True) kernel_constraint = fields.Nested(ConstraintSchema, allow_none=True) bias_constraint = fields.Nested(ConstraintSchema, allow_none=True) class Meta: ordered = True @post_load def make(self, data): return DenseConfig(**data) @post_dump def unmake(self, data): return DenseConfig.remove_reduced_attrs(data) class DenseConfig(BaseLayerConfig): """Just your regular densely-connected NN layer. `Dense` implements the operation: `output = activation(dot(input, kernel) + bias)` where `activation` is the element-wise activation function passed as the `activation` argument, `kernel` is a weights matrix created by the layer, and `bias` is a bias vector created by the layer (only applicable if `use_bias` is `True`). Note: if the input to the layer has a rank greater than 2, then it is flattened prior to the initial dot product with `kernel`. Example: ```python # as first layer in a sequential model: x = Dense(32)(x) # now the model will take as input arrays of shape (*, 16) # and output arrays of shape (*, 32) ``` Args: units: Positive integer, dimensionality of the output space. activation: Activation function to use. If you don't specify anything, no activation is applied (ie. "linear" activation: `a(x) = x`). use_bias: Boolean, whether the layer uses a bias vector. kernel_initializer: Initializer for the `kernel` weights matrix. bias_initializer: Initializer for the bias vector. kernel_regularizer: Regularizer function applied to the `kernel` weights matrix. bias_regularizer: Regularizer function applied to the bias vector. activity_regularizer: Regularizer function applied to the output of the layer (its "activation").. kernel_constraint: Constraint function applied to the `kernel` weights matrix. bias_constraint: Constraint function applied to the bias vector. Input shape: nD tensor with shape: `(batch_size, ..., input_dim)`. The most common situation would be a 2D input with shape `(batch_size, input_dim)`. Output shape: nD tensor with shape: `(batch_size, ..., units)`. For instance, for a 2D input with shape `(batch_size, input_dim)`, the output would have shape `(batch_size, units)`. Polyaxonfile usage: ```yaml Dense: units: 32 activation: sigmoid ``` """ IDENTIFIER = 'Dense' SCHEMA = DenseSchema def __init__(self, units, activation=None, use_bias=True, kernel_initializer=GlorotNormalInitializerConfig(), bias_initializer=ZerosInitializerConfig(), kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None, **kwargs): super(DenseConfig, self).__init__(**kwargs) self.units = units self.activation = activation self.use_bias = use_bias self.kernel_initializer = kernel_initializer self.bias_initializer = bias_initializer self.kernel_regularizer = kernel_regularizer self.bias_regularizer = bias_regularizer self.activity_regularizer = activity_regularizer self.kernel_constraint = kernel_constraint self.bias_constraint = bias_constraint class ActivityRegularizationSchema(BaseLayerSchema): l1 = fields.Float(allow_none=True) l2 = fields.Float(allow_none=True) class Meta: ordered = True @post_load def make(self, data): return ActivityRegularizationConfig(**data) @post_dump def unmake(self, data): return ActivityRegularizationConfig.remove_reduced_attrs(data) class ActivityRegularizationConfig(BaseLayerConfig): """Layer that applies an update to the cost function based input activity. Args: l1: L1 regularization factor (positive float). l2: L2 regularization factor (positive float). Input shape: Arbitrary. Use the keyword argument `input_shape` (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model. Output shape: Same shape as input. Polyaxonfile usage: ```yaml ActivityRegularization: l1: 0.1 l2: 0.2 ``` """ IDENTIFIER = 'ActivityRegularization' SCHEMA = ActivityRegularizationSchema def __init__(self, l1=0., l2=0., **kwargs): super(ActivityRegularizationConfig, self).__init__(**kwargs) self.l1 = l1 self.l2 = l2 class CastSchema(BaseLayerSchema): dtype = DType() class Meta: ordered = True @post_load def make(self, data): return CastConfig(**data) @post_dump def unmake(self, data): return CastConfig.remove_reduced_attrs(data) class CastConfig(BaseLayerConfig): """Casts a tensor to a new type. The operation casts `x` (in case of `Tensor`) or `x.values` (in case of `SparseTensor`) to `dtype`. For example: ```python x = tf.constant([1.8, 2.2], dtype=tf.float32) x = Cast(dtype=tf.int32)(x) # [1, 2], dtype=tf.int32 ``` Args: x: A `Tensor` or `SparseTensor`. dtype: The destination type. name: A name for the operation (optional). Returns: A `Tensor` or `SparseTensor` with same shape as `x`. Raises: TypeError: If `x` cannot be cast to the `dtype`. Polyaxonfile usage: ```yaml Cast: dtype: float32 ``` """ IDENTIFIER = 'Cast' SCHEMA = CastSchema def __init__(self, dtype, **kwargs): super(CastConfig, self).__init__(**kwargs) self.dtype = dtype

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null

0

null

0

1

0

2

7fc71d742b9583424424ab4953dff97d093bc116

5,556

py

Python

tests/unit/models/cardlesscredit/test_create_payment.py

glendaesutanto/xendit-python

f9b131882ff7d045f2e2c6518933d1594efba3e6

[ "MIT" ]

10

2020-10-31T23:34:34.000Z

2022-03-08T19:08:55.000Z

tests/unit/models/cardlesscredit/test_create_payment.py

glendaesutanto/xendit-python

f9b131882ff7d045f2e2c6518933d1594efba3e6

[ "MIT" ]

22

2020-07-30T14:25:07.000Z

2022-03-31T03:55:46.000Z

tests/unit/models/cardlesscredit/test_create_payment.py

glendaesutanto/xendit-python

f9b131882ff7d045f2e2c6518933d1594efba3e6

[ "MIT" ]

11

2020-07-28T08:09:40.000Z

2022-03-18T00:14:02.000Z

import pytest from ..model_base_test import ModelBaseTest from tests.sampleresponse.cardless_credit import cardless_credit_payment_response from xendit.models import CardlessCredit, CardlessCreditType # fmt: off class TestCreateCardlessCreditPayment(ModelBaseTest): @pytest.fixture def default_cardless_credit_data(self): tested_class = CardlessCredit class_name = "CardlessCredit" method_name = "create_payment" http_method_name = "post" cardless_credit_items = [] cardless_credit_items.append( CardlessCredit.helper_create_item( id="item-123", name="Phone Case", price=200000, type="Smartphone", url="http://example.com/phone/phone_case", quantity=2, ) ) shipping_address = CardlessCredit.helper_create_shipping_address( first_name="first name", last_name="last name", address="Jl Teknologi No. 12", city="Jakarta", postal_code="12345", phone="081513114262", country_code="IDN", ) customer_details = CardlessCredit.helper_create_customer_details( first_name="customer first name", last_name="customer last name", email="customer@email.com", phone="0812332145", ) args = () kwargs = { "cardless_credit_type": CardlessCreditType.KREDIVO, "external_id": "mock-id-123", "amount": 10000, "payment_type": "3_months", "items": cardless_credit_items, "customer_details": customer_details, "shipping_address": shipping_address, "redirect_url": "https://mock-my-shop.com/home", "callback_url": "https://mock-my-shop.com/callback", "x_idempotency_key": "test_idemp_123", } params = (args, kwargs) url = "/cardless-credit" expected_correct_result = cardless_credit_payment_response() return (tested_class, class_name, method_name, http_method_name, url, params, expected_correct_result) @pytest.fixture def api_requestor_request_data(self, default_cardless_credit_data): tested_class, class_name, method_name, http_method_name, url, params, _ = default_cardless_credit_data headers = {"X-IDEMPOTENCY-KEY": "test_idemp_123"} body = { "cardless_credit_type": "KREDIVO", "external_id": "mock-id-123", "amount": 10000, "payment_type": "3_months", "items": [ { "id": "item-123", "name": "Phone Case", "price": 200000, "type": "Smartphone", "url": "http://example.com/phone/phone_case", "quantity": 2, } ], "customer_details": { "first_name": "customer first name", "last_name": "customer last name", "email": "customer@email.com", "phone": "0812332145", }, "shipping_address": { "first_name": "first name", "last_name": "last name", "address": "Jl Teknologi No. 12", "city": "Jakarta", "postal_code": "12345", "phone": "081513114262", "country_code": "IDN", }, "redirect_url": "https://mock-my-shop.com/home", "callback_url": "https://mock-my-shop.com/callback", } return (tested_class, class_name, method_name, http_method_name, url, params, headers, body) @pytest.mark.parametrize("mock_correct_response", [cardless_credit_payment_response()], indirect=True) def test_return_cardless_credit_payment_on_correct_params( self, mocker, mock_correct_response, default_cardless_credit_data ): self.run_success_return_test_on_xendit_instance(mocker, mock_correct_response, default_cardless_credit_data) def test_raise_xendit_error_on_response_error( self, mocker, mock_error_request_response, default_cardless_credit_data ): self.run_raises_error_test_on_xendit_instance(mocker, mock_error_request_response, default_cardless_credit_data) @pytest.mark.parametrize("mock_correct_response", [cardless_credit_payment_response()], indirect=True) def test_return_cardless_credit_payment_on_correct_params_and_global_xendit( self, mocker, mock_correct_response, default_cardless_credit_data ): self.run_success_return_test_on_global_config(mocker, mock_correct_response, default_cardless_credit_data) def test_raise_xendit_error_on_response_error_and_global_xendit( self, mocker, mock_error_request_response, default_cardless_credit_data ): self.run_raises_error_test_on_global_config(mocker, mock_error_request_response, default_cardless_credit_data) @pytest.mark.parametrize("mock_correct_response", [cardless_credit_payment_response()], indirect=True) def test_send_correct_request_to_api_requestor(self, mocker, mock_correct_response, api_requestor_request_data): self.run_send_correct_request_to_api_requestor(mocker, mock_correct_response, api_requestor_request_data) # fmt: on

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null

0

1

0

1

0

null

0

2

7fd64d5d9687aeafd41778f375063551f567e46f

67

py

Python

homeassistant/components/hardware/const.py

liangleslie/core

cc807b4d597daaaadc92df4a93c6e30da4f570c6

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/hardware/const.py

liangleslie/core

cc807b4d597daaaadc92df4a93c6e30da4f570c6

[ "Apache-2.0" ]

24,710

2016-04-13T08:27:26.000Z

2020-03-02T12:59:13.000Z

homeassistant/components/hardware/const.py

liangleslie/core

cc807b4d597daaaadc92df4a93c6e30da4f570c6

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Constants for the Hardware integration.""" DOMAIN = "hardware"

16.75

45

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null

0

1

0

null

0

2

7fe3c41b5d4495299339fa6ac09fd4c855492415

1,577

py

Python

b9_tools.py

eoinnoble/b9-indifference

a8b7f3c2268af162d5269a8ce7180be717bfb3fb

[ "Unlicense" ]

9

2017-11-13T20:31:04.000Z

2021-11-08T12:30:48.000Z

b9_tools.py

eoinnoble/b9-indifference

a8b7f3c2268af162d5269a8ce7180be717bfb3fb

[ "Unlicense" ]

1

2021-11-30T20:24:26.000Z

b9_tools.py

eoinnoble/b9-indifference

a8b7f3c2268af162d5269a8ce7180be717bfb3fb

[ "Unlicense" ]

1

2017-12-17T09:04:25.000Z

import re from collections.abc import MutableMapping from typing import Dict, List import markovify import nltk class RangeDict(MutableMapping): """Enables a dictionary whose keys are ranges.""" def __init__(self, iterable: Dict): if not isinstance(iterable, dict): raise TypeError("You must pass a dictionary to RangeDict") self.store = dict() for (k, v) in iterable.items(): if not isinstance(k, range): raise TypeError("Your dictionary keys must be ranges") direction = {num: v for num in k} self.store.update(direction) def __getitem__(self, key): return self.store[key] def __setitem__(self, key, value): self.store[key] = value def __delitem__(self, key): del self.store[key] def __iter__(self): return iter(self.store) def __len__(self): return len(self.store) class POSifiedText(markovify.Text): """ A markovify.Text model that obeys sentence structure better than the naive model. Uses NLTK's part-of-speech tagger (nltk.pos_tag), which is VERY slow but seems to do a better job of parsing my text corpora than spaCy, which would be faster. """ def word_split(self, sentence: str) -> List: words = re.split(self.word_split_pattern, sentence) words = ["::".join(tag) for tag in nltk.pos_tag(words)] return words def word_join(self, words: List) -> str: sentence = " ".join(word.split("::")[0] for word in words) return sentence

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56

98

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1

0.242424

false

0.030303

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0.606061

0

null

0

null

0

1

0

1

0

2

3d0b63ff899d9630d5763b8599ddc075bb3c108f

620

py

Python

PycharmProjects/PythonValidacao/consome_api.py

FeFSRibeiro/learning-python

4f642aa7e1c6523f5209f83ece7e974bfb3ef24e

[ "Apache-2.0" ]

null

PycharmProjects/PythonValidacao/consome_api.py

FeFSRibeiro/learning-python

4f642aa7e1c6523f5209f83ece7e974bfb3ef24e

[ "Apache-2.0" ]

null

PycharmProjects/PythonValidacao/consome_api.py

FeFSRibeiro/learning-python

4f642aa7e1c6523f5209f83ece7e974bfb3ef24e

[ "Apache-2.0" ]

null

import requests class BuscaEndereco: def __init__(self,cep): if self.valida_cep(str(cep)): self.cep = str(cep) else: raise ValueError("CEP Inválido !!!") def __str__(self): return self.formata_cep() def valida_cep(self,cep): if len(self.cep == 8): return True else: return False def formata_cep(self,cep): return "{}-{}".format(self.cep[:5],self.cep[5:]) def busca_dados (self): url = "https://viacep.com.br/ws/{}/json/".format(self.cep) r = requests.get(url) return r

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620

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620

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null

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null

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0

1

0

2

3d11c0e83e935667e3b5fa635f505dab77f68c4f

471

py

Python

dataset_models/normalization/aroundZeroNormalizer.py

Zvezdin/blockchain-predictor

df6f939037471dd50b7b9c96673d89b04b646ef2

[ "MIT" ]

35

2017-10-25T17:10:35.000Z

2022-03-20T18:12:06.000Z

dataset_models/normalization/aroundZeroNormalizer.py

Zvezdin/blockchain-predictor

df6f939037471dd50b7b9c96673d89b04b646ef2

[ "MIT" ]

2

2017-09-20T17:39:15.000Z

2018-04-01T17:20:29.000Z

dataset_models/normalization/aroundZeroNormalizer.py

Zvezdin/blockchain-predictor

df6f939037471dd50b7b9c96673d89b04b646ef2

[ "MIT" ]

10

2017-12-01T13:47:04.000Z

2021-12-16T06:53:17.000Z

import numpy as np from .normalizer import Normalizer class AroundZeroNormalizer(Normalizer): def __init__(self, data): self.minVal = np.min(data) self.maxVal = np.max(data) self.maxVal = max(abs(self.maxVal), abs(self.minVal)) def transform(self, data): if self.maxVal == 0: #can't normalize if the whole array is zeroes return data return ((data / self.maxVal) + 1) / 2 def inverse_transform(self, data): return ((data * 2) - 1) * self.maxVal

23.55

68

0.694268

70

471

4.6

0.457143

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0.130435

0

0.012953

0.180467

471

19

69

24.789474

0.821244

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0

null

0

null

0

1

0

1

0

2

3d162a8de2cf611aacdd649aadbeb0516127e28a

461

py

Python

arequests/exceptions.py

fhag/telegram2

65a685637b444e40ef47a17c2a3b83c2ddb81459

[ "BSD-2-Clause" ]

null

arequests/exceptions.py

fhag/telegram2

65a685637b444e40ef47a17c2a3b83c2ddb81459

[ "BSD-2-Clause" ]

null

arequests/exceptions.py

fhag/telegram2

65a685637b444e40ef47a17c2a3b83c2ddb81459

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- """ Exceptions for Arequests Created on Tue Nov 13 08:34:14 2018 @author: gfi """ class ArequestsError(Exception): """Basic exception for errors raised by Arequests""" pass class AuthorizationError(ArequestsError): '''401 error new authentification required''' pass class SomeClientError(ArequestsError): '''4xx client error''' pass class SomeServerError(ArequestsError): '''5xx server error''' pass

19.208333

56

0.694143

51

461

6.27451

0.72549

0.084375

0

0.048

0.186551

461

23

57

20.043478

0.805333

0.472885

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0.5

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true

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0

0.5

0

null

0

null

0

1

0

2

3d1bc451ecce134829f141f42c2d16c8641046f1

899

py

Python

Aula37/Controller/squad_controller.py

PabloSchumacher/TrabalhosPython

828edd35eb40442629211bc9f1477f75fb025d74

[ "bzip2-1.0.6", "MIT" ]

null

Aula37/Controller/squad_controller.py

PabloSchumacher/TrabalhosPython

828edd35eb40442629211bc9f1477f75fb025d74

[ "bzip2-1.0.6", "MIT" ]

null

Aula37/Controller/squad_controller.py

PabloSchumacher/TrabalhosPython

828edd35eb40442629211bc9f1477f75fb025d74

[ "bzip2-1.0.6", "MIT" ]

null

from Dao.squad_dao import SquadDao from Model.squad import * from Controller.backend_controller import BackendController from Controller.frontend_controller import FrontendController from Controller.sgbd_controller import SgbdController class SquadController: dao = SquadDao() be = BackendController() fro = FrontendController() bd = SgbdController() def listar_todos(self): return self.dao.listar_todos() def buscar_por_id(self, id): return self.dao.buscar_por_id(id) def salvar(self, squad:Squad): squad.backend.idbackend = self.be.salvar(squad.backend) squad.frontend.idfrontend = self.fro.salvar(squad.frontend) squad.sgbd.idsgbd = self.bd.salvar(squad.sgbd) return self.dao.salvar(squad) def alterar(self, squad:Squad): self.dao.alterar(squad) def deletar(self, id): self.dao.deletar(id)

29.966667

67

0.716352

111

899

5.711712

0.288288

0.055205

0.061514

0

0.190211

899

29

68

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false

0

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0.782609

0

null

0

null

0

1

0

1

0

2

3d41aeb36fe4c0327c92ba2fb851e5ac557d9a0b

960

py

Python

typhon/oem/error.py

jmollard/typhon

68d5ae999c340b60aa69e095b336d438632ad55c

[ "MIT" ]

null

typhon/oem/error.py

jmollard/typhon

68d5ae999c340b60aa69e095b336d438632ad55c

[ "MIT" ]

null

typhon/oem/error.py

jmollard/typhon

68d5ae999c340b60aa69e095b336d438632ad55c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Functions to estimate the different sources of retrieval error. """ from typhon.oem import common __all__ = [ 'smoothing_error', 'retrieval_noise', ] def smoothing_error(x, x_a, A): """Return the smoothing error through the averaging kernel. Parameters: x (ndarray): Atmospherice profile. x_a (ndarray): A priori profile. A (ndarray): Averaging kernel matrix. Returns: ndarray: Smoothing error due to correlation between layers. """ return A @ (x - x_a) def retrieval_noise(K, S_a, S_y, e_y): """Return the retrieval noise. Parameters: K (np.array): Simulated Jacobians. S_a (np.array): A priori error covariance matrix. S_y (np.array): Measurement covariance matrix. e_y (ndarray): Total measurement error. Returns: ndarray: Retrieval noise. """ return common.retrieval_gain_matrix(K, S_a, S_y) @ e_y

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0.0134

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0

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0.251042

960

40

68

24

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0

0.111111

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null

0

null

0

1

0

1

0

2

3d4fb10a65167e4ffb44c4897ed5483e2f0d23c0

2,439

py

Python

users/models.py

Mansi3546/CareerCradle

e040e763b1058aef937deb9eac4e1f9b2421ae25

[ "MIT" ]

null

users/models.py

Mansi3546/CareerCradle

e040e763b1058aef937deb9eac4e1f9b2421ae25

[ "MIT" ]

1

2021-04-14T12:24:41.000Z

2021-04-18T07:33:11.000Z

users/models.py

Mansi3546/CareerCradle

e040e763b1058aef937deb9eac4e1f9b2421ae25

[ "MIT" ]

3

2021-04-06T13:54:44.000Z

2021-05-03T17:28:59.000Z

from django.contrib.auth.models import AbstractBaseUser, BaseUserManager, PermissionsMixin from django.db import models from django.utils import timezone from django.db.models import BooleanField class UserManager(BaseUserManager): def _create_user(self, email, password, usertype, is_staff, is_superuser, **extra_fields): if not email: raise ValueError('Users must have an email address') now = timezone.now() email = self.normalize_email(email) user = self.model( email=email, usertype=usertype, is_staff=is_staff, is_active=True, is_superuser=is_superuser, last_login=now, date_joined=now, **extra_fields ) user.set_password(password) user.save(using=self._db) return user def create_candidate(self, email, password, **extra_fields): return self._create_user(email, password, 1, False, False, **extra_fields) def create_recruiter(self, email, password, **extra_fields): return self._create_user(email, password, 0, False, False, **extra_fields) def create_staff(self, email, password, **extra_fields): return self._create_user(email, password, None, True, False, **extra_fields) def create_superuser(self, email, password, **extra_fields): user=self._create_user(email, password, None, True, True, **extra_fields) user.save(using=self._db) return user class User(AbstractBaseUser, PermissionsMixin): ''' Usertype can have 3 values: Candidate - 1 Recruiter - 0 Staff - None ''' USERTYPES = [ (1, 'Candidates'), (0, 'Recruiters'), (None, 'Staff'), ] email = models.EmailField(max_length=254, unique=True) name = models.CharField(max_length=254, null=True, blank=True) usertype = models.PositiveSmallIntegerField(choices=USERTYPES, null=True) is_staff = models.BooleanField(default=False) is_superuser = models.BooleanField(default=False) is_active = models.BooleanField(default=True) last_login = models.DateTimeField(null=True, blank=True) date_joined = models.DateTimeField(auto_now_add=True) USERNAME_FIELD = 'email' EMAIL_FIELD = 'email' REQUIRED_FIELDS = [] objects = UserManager() def get_absolute_url(self): return "/users/%i/" % (self.pk)

33.410959

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2,439

5.548043

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0.295702

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0.182168

0.117383

0

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false

0.188679

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0

null

0

null

0

1

0

1

0

2

3d5041bc56fbfaccca116aec98a24987eddba5f7

2,046

py

Python

site_scons/site_tools/findPkgPath.py

fermi-lat/SConsFiles

54124ec1031142b4fee76b12fdcfe839845e9fda

[ "BSD-3-Clause" ]

null

site_scons/site_tools/findPkgPath.py

fermi-lat/SConsFiles

54124ec1031142b4fee76b12fdcfe839845e9fda

[ "BSD-3-Clause" ]

null

site_scons/site_tools/findPkgPath.py

fermi-lat/SConsFiles

54124ec1031142b4fee76b12fdcfe839845e9fda

[ "BSD-3-Clause" ]

null

import os,platform,os.path # Usual case: find where package is; add to env include path # If 'subdir' argument, instead set construction env variable # to point to it def generate(env, **kw): pkgName = kw.get('package', '') if pkgName == '': print 'findPkgPath called with no arg' return None path = None subDir = kw.get('subDir', '') usualCase = (subDir == '') # paths all start with .\ so strip it off #if forStatic.first == True: # print 'findPkgPath called with argument ', pkgName ## First look in env['packageNameList']. If we *have* supersede, ## this is the supersede list. Otherwise it's the base list for p in env['packageNameList']: bname = os.path.basename(str(p[2:])) if pkgName == bname: if env.GetOption('supersede') == '.': path = '#' + str(p[2:]) else: path = os.path.join(str(env['absSuperPath']), pkgName) if pkgName + '-' == bname[:len(bname)+1]: if env.GetOption('supersede') == '.': path = '#' + str(p[2:]) else: path = os.path.join(str(env['absSuperPath']), str(p[2:])) # If not found up to this point, we must be in case # -have supersede dir # -package we have been called for is not in supersede area if path == None and env.GetOption('supersede') != '.': # look in base for p in env['basePackageNameList']: bname = os.path.basename(str(p[2:])) ##if pkgName == bname: path = '#' + str(p[2:]) if pkgName == bname: path = os.path.join(env['absBasePath'], str(p[2:])) if pkgName + '-' == bname[:len(bname)+1]: path = os.path.join(env['absBasePath'], str(p[2:])) if path != None: if usualCase: env.AppendUnique(CPPPATH = [path]) else: conVarName = pkgName + '_' + subDir env[conVarName] = os.path.join(path, subDir) def exists(env): return 1

40.117647

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0

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0.30694

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0

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null

0.028571

0

null

0

1

0

null

0

1

0

2

3d553fd4a5642d493db1017f36467ff8b535228c

65

py

Python

wave_1d_fwi_tf/__init__.py

ar4/wave_1d_fwi_tf

0a543149dc3bd5ca6ec0e5bfe34add4796e0b879

[ "MIT" ]

2

2017-08-07T13:35:50.000Z

2019-02-28T08:26:49.000Z

wave_1d_fwi_tf/__init__.py

ar4/wave_1d_fwi_tf

0a543149dc3bd5ca6ec0e5bfe34add4796e0b879

[ "MIT" ]

null

wave_1d_fwi_tf/__init__.py

ar4/wave_1d_fwi_tf

0a543149dc3bd5ca6ec0e5bfe34add4796e0b879

[ "MIT" ]

5

2018-06-26T20:43:44.000Z

2021-12-11T20:00:03.000Z

"""1D FWI implemented using TensorFlow """ __version__ = '0.0.1'

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py

Python

tests/test_missing_variable.py

specfault/GreenerPython

976260c3e78969cfd3e1e40639325f104325c703

[ "MIT" ]

null

tests/test_missing_variable.py

specfault/GreenerPython

976260c3e78969cfd3e1e40639325f104325c703

[ "MIT" ]

null

tests/test_missing_variable.py

specfault/GreenerPython

976260c3e78969cfd3e1e40639325f104325c703

[ "MIT" ]

null

from tests.framework import AbstractFilePair from tests.framework import in_test_function from tests.framework import standard_test_spec from tests.framework import SavingFixesSUT from tests.framework import fixing_test variable_names = ('x', 'y') def missing_variable_in_source(variable_name): test_code = in_test_function('bla = blubb.' + variable_name) return AbstractFilePair('blubb', test=test_code) @fixing_test class TestSavingFixesMissingVariables(SavingFixesSUT): tests = [ standard_test_spec( # add several variables to SUT """ bla = blubb.x bla = blubb.y bla = blubb.z""") ] + [missing_variable_in_source(name) for name in variable_names]

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Python

stixpy/timeseries/tests/test_quicklook.py

nicHoch/stixpy

cdb86094995590da36f3ae5e01f4ca4b9aac819c

[ "BSD-3-Clause" ]

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2021-07-06T14:42:09.000Z

2022-02-24T10:19:18.000Z

stixpy/timeseries/tests/test_quicklook.py

nicHoch/stixpy

cdb86094995590da36f3ae5e01f4ca4b9aac819c

[ "BSD-3-Clause" ]

30

2020-10-02T20:24:28.000Z

2022-03-31T18:29:07.000Z

stixpy/timeseries/tests/test_quicklook.py

nicHoch/stixpy

cdb86094995590da36f3ae5e01f4ca4b9aac819c

[ "BSD-3-Clause" ]

8

2021-04-16T11:00:13.000Z

2022-03-31T10:09:29.000Z

from pathlib import Path import pytest from sunpy.timeseries import TimeSeries from stixpy.data import test from stixpy.timeseries.quicklook import * def test_ql_lightcurve(): ql_lc = TimeSeries(test.STIX_QL_LIGHTCURVE_TIMESERIES) assert isinstance(ql_lc, QLLightCurve) def test_qlbackground(): ql_lc = TimeSeries(test.STIX_QL_BACKGROUND_TIMESERIES) assert isinstance(ql_lc, QLBackground) def test_qlvariance(): ql_lc = TimeSeries(test.STIX_QL_VARIANCE_TIMESERIES) ql_lc.peek() assert isinstance(ql_lc, QLVariance)

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PythonDesafios/d107/teste.py

adaatii/Python-Curso-em-Video-

30b37713b3685469558babb93b557b53210f010c

[ "MIT" ]

null

PythonDesafios/d107/teste.py

adaatii/Python-Curso-em-Video-

30b37713b3685469558babb93b557b53210f010c

[ "MIT" ]

null

PythonDesafios/d107/teste.py

adaatii/Python-Curso-em-Video-

30b37713b3685469558babb93b557b53210f010c

[ "MIT" ]

null

# Crie um módulo chamado moeda.py que tenha as funções incorporadas aumentar(), diminuir(), dobro() e metade(). Faça # também um programa que importe esse módulo e use algumas dessas funções. import moeda p = float(input('Digite o preço: ')) print(f'A metade do {p} é R${moeda.metade(p)}') print(f'O dobro de {p} é R${moeda.dobro(p)}') print(f'Aumentando 10%, temos R${moeda.aumentar(p, 10)}')

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e9fe99f79d22866cd1c3d457b72379bf7128ed8c

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py

Python

Line/beijing_aqi.py

Hansz00/pyecharts-gallery

a0a16d980e9d4f7d355c5ada938614579ee8d461

[ "MIT" ]

1

2020-08-25T07:41:10.000Z

Line/beijing_aqi.py

Hansz00/pyecharts-gallery

a0a16d980e9d4f7d355c5ada938614579ee8d461

[ "MIT" ]

null

Line/beijing_aqi.py

Hansz00/pyecharts-gallery

a0a16d980e9d4f7d355c5ada938614579ee8d461

[ "MIT" ]

1

2022-03-10T09:05:44.000Z

import pyecharts.options as opts from pyecharts.charts import Line """ Gallery 使用 pyecharts 1.1.0 参考地址: https://echarts.baidu.com/examples/editor.html?c=line-aqi 目前无法实现的功能: 1、dataZoom 放大的时候无法固定 Y 轴的上下限 """ all_data = [ ["2000-06-05", 116], ["2000-06-06", 129], ["2000-06-07", 135], ["2000-06-08", 86], ["2000-06-09", 73], ["2000-06-10", 85], ["2000-06-11", 73], ["2000-06-12", 68], ["2000-06-13", 92], ["2000-06-14", 130], ["2000-06-15", 245], ["2000-06-16", 139], ["2000-06-17", 115], ["2000-06-18", 111], ["2000-06-19", 309], ["2000-06-20", 206], ["2000-06-21", 137], ["2000-06-22", 128], ["2000-06-23", 85], ["2000-06-24", 94], ["2000-06-25", 71], ["2000-06-26", 106], ["2000-06-27", 84], ["2000-06-28", 93], ["2000-06-29", 85], ["2000-06-30", 73], ["2000-07-01", 83], ["2000-07-02", 125], ["2000-07-03", 107], ["2000-07-04", 82], ["2000-07-05", 44], ["2000-07-06", 72], ["2000-07-07", 106], ["2000-07-08", 107], ["2000-07-09", 66], ["2000-07-10", 91], ["2000-07-11", 92], ["2000-07-12", 113], ["2000-07-13", 107], ["2000-07-14", 131], ["2000-07-15", 111], ["2000-07-16", 64], ["2000-07-17", 69], ["2000-07-18", 88], ["2000-07-19", 77], ["2000-07-20", 83], ["2000-07-21", 111], ["2000-07-22", 57], ["2000-07-23", 55], ["2000-07-24", 60], ["2000-07-25", 44], ["2000-07-26", 127], ["2000-07-27", 114], ["2000-07-28", 86], ["2000-07-29", 73], ["2000-07-30", 52], ["2000-07-31", 69], ["2000-08-01", 86], ["2000-08-02", 118], ["2000-08-03", 56], ["2000-08-04", 91], ["2000-08-05", 121], ["2000-08-06", 127], ["2000-08-07", 78], ["2000-08-08", 79], ["2000-08-09", 46], ["2000-08-10", 108], ["2000-08-11", 80], ["2000-08-12", 79], ["2000-08-13", 69], ["2000-08-14", 80], ["2000-08-15", 105], ["2000-08-16", 119], ["2000-08-17", 105], ["2000-08-18", 55], ["2000-08-19", 74], ["2000-08-20", 41], ["2000-08-21", 62], ["2000-08-22", 104], ["2000-08-23", 118], ["2000-08-24", 121], ["2000-08-25", 126], ["2000-08-26", 99], ["2000-08-27", 92], ["2000-08-28", 75], ["2000-08-29", 91], ["2000-08-30", 94], 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["2015-02-21", 394], ["2015-02-22", 158], ["2015-02-23", 86], ["2015-02-24", 207], ] ( Line() .add_xaxis(xaxis_data=[item[0] for item in all_data]) .add_yaxis( series_name="", y_axis=[item[1] for item in all_data], yaxis_index=0, is_smooth=True, is_symbol_show=False, ) .set_global_opts( title_opts=opts.TitleOpts(title="Beijing AQI"), tooltip_opts=opts.TooltipOpts(trigger="axis"), datazoom_opts=[ opts.DataZoomOpts(yaxis_index=0), opts.DataZoomOpts(type_="inside", yaxis_index=0), ], visualmap_opts=opts.VisualMapOpts( pos_top="10", pos_right="10", is_piecewise=True, pieces=[ {"gt": 0, "lte": 50, "color": "#096"}, {"gt": 50, "lte": 100, "color": "#ffde33"}, {"gt": 100, "lte": 150, "color": "#ff9933"}, {"gt": 150, "lte": 200, "color": "#cc0033"}, {"gt": 200, "lte": 300, "color": "#660099"}, {"gt": 300, "color": "#7e0023"}, ], out_of_range={"color": "#999"}, ), xaxis_opts=opts.AxisOpts(type_="category"), yaxis_opts=opts.AxisOpts( type_="value", name_location="start", min_=0, max_=500, is_scale=True, axistick_opts=opts.AxisTickOpts(is_inside=False), ), ) .set_series_opts( markline_opts=opts.MarkLineOpts( data=[ {"yAxis": 50}, {"yAxis": 100}, {"yAxis": 150}, {"yAxis": 200}, {"yAxis": 300}, ], label_opts=opts.LabelOpts(position="end"), ) ) .render("beijing_aqi.html") )

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Python

study_roadmaps/python_sample_examples/gluon/3_aux_functions/train.py

Shreyashwaghe/monk_v1

4ee4d9483e8ffac9b73a41f3c378e5abf5fc799b

[ "Apache-2.0" ]

7

2020-07-26T08:37:29.000Z

2020-10-30T10:23:11.000Z

study_roadmaps/python_sample_examples/gluon/3_aux_functions/train.py

mursalfk/monk_v1

62f34a52f242772186ffff7e56764e958fbcd920

[ "Apache-2.0" ]

9

2020-01-28T21:40:39.000Z

2022-02-10T01:24:06.000Z

study_roadmaps/python_sample_examples/gluon/3_aux_functions/train.py

mursalfk/monk_v1

62f34a52f242772186ffff7e56764e958fbcd920

[ "Apache-2.0" ]

1

2020-10-07T12:57:44.000Z

import os import sys sys.path.append("../../../monk/"); import psutil from gluon_prototype import prototype gtf = prototype(verbose=1); gtf.Prototype("sample-project-1", "sample-experiment-1"); gtf.Default(dataset_path="../../../monk/system_check_tests/datasets/dataset_cats_dogs_train", model_name="resnet18_v1", freeze_base_network=True, num_epochs=2); ######################################################## Summary ##################################################### gtf.Summary() ########################################################################################################################### ##################################################### EDA - Find Num images per class ##################################### gtf.EDA(show_img=True, save_img=True); ########################################################################################################################### ##################################################### EDA - Find Missing and corrupted images ##################################### gtf.EDA(check_missing=True, check_corrupt=True); ########################################################################################################################### ##################################################### Estimate Training Time ##################################### gtf.Estimate_Train_Time(num_epochs=50); ###########################################################################################################################

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1829f18c9a4a6999de1f057e3d27520859bfe66b

539

py

Python

calplus/tests/unit/v1/test_utils.py

nghiadt16/CALplus

68c108e6abf7eeac4937b870dc7462dd6ee2fcc3

[ "Apache-2.0" ]

null

calplus/tests/unit/v1/test_utils.py

nghiadt16/CALplus

68c108e6abf7eeac4937b870dc7462dd6ee2fcc3

[ "Apache-2.0" ]

4

2017-04-05T16:14:07.000Z

2018-12-14T14:19:15.000Z

calplus/tests/unit/v1/test_utils.py

nghiadt16/CALplus

68c108e6abf7eeac4937b870dc7462dd6ee2fcc3

[ "Apache-2.0" ]

2

2017-04-18T16:53:58.000Z

2018-12-04T05:42:51.000Z

from calplus.tests import base from calplus.v1 import utils class TestUtils(base.TestCase): """docstring for TestUtils""" def setUp(self): super(TestUtils, self).setUp() def test_get_all_driver(self): drivers = utils.get_all_driver() self.assertEqual([], drivers) def test_validate_driver(self): @utils.validate_driver def test(request, drivers): pass import inspect args = inspect.getargspec(test).args self.assertEqual(['request'], args)

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182e9e4609ddebb22d97860bec2e861331fa8d6e

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py

Python

stubs.min/System/Windows/Media/Animation_parts/AnimationException.py

ricardyn/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

1

2021-02-02T13:39:16.000Z

stubs.min/System/Windows/Media/Animation_parts/AnimationException.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

stubs.min/System/Windows/Media/Animation_parts/AnimationException.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

class AnimationException(SystemException,ISerializable,_Exception): """ The exception that is thrown when an error occurs while animating a property. """ def add_SerializeObjectState(self,*args): """ add_SerializeObjectState(self: Exception,value: EventHandler[SafeSerializationEventArgs]) """ pass def remove_SerializeObjectState(self,*args): """ remove_SerializeObjectState(self: Exception,value: EventHandler[SafeSerializationEventArgs]) """ pass def __init__(self,*args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __reduce_ex__(self,*args): pass def __str__(self,*args): pass Clock=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the clock that generates the animated values. Get: Clock(self: AnimationException) -> AnimationClock """ Property=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the animated dependency property. Get: Property(self: AnimationException) -> DependencyProperty """ Target=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the animated object. Get: Target(self: AnimationException) -> IAnimatable """

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182f0fecd4c6abc4561282446bbffe0f48f4cc60

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Python

habitat_baselines/motion_planning/robot_target.py

srama2512/habitat-api

bc85d0961cef3b4a08bc9263869606109fb6ff0a

[ "MIT" ]

355

2020-08-18T03:48:26.000Z

2022-03-30T00:22:50.000Z

habitat_baselines/motion_planning/robot_target.py

srama2512/habitat-api

bc85d0961cef3b4a08bc9263869606109fb6ff0a

[ "MIT" ]

328

2020-08-12T21:25:09.000Z

2022-03-31T10:39:21.000Z

habitat_baselines/motion_planning/robot_target.py

srama2512/habitat-api

bc85d0961cef3b4a08bc9263869606109fb6ff0a

[ "MIT" ]

159

2020-08-12T22:23:36.000Z

2022-03-30T22:56:52.000Z

#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. import attr import magnum as mn import numpy as np @attr.s(auto_attribs=True, slots=True) class RobotTarget: """ Data class to define the target needed as input for the motion planner. """ # End-effector in world coordinate frame. ee_target_pos: np.ndarray = None obj_id_target: int = None joints_target: np.ndarray = None is_guess: bool = False @attr.s(auto_attribs=True, slots=True) class ObjectGraspTarget: """ Data class to define the target needed as input for the grasp planner. """ # Bounding Box bb: mn.Range3D translation: mn.Matrix4

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183c49112552415248f084e0c358b6ea11192708

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py

Python

tests/request/test_parameter_invalid.py

Colin-b/pyxelrest

5c8db40d1537d0f9c29acd928ec9519b6bb557ec

[ "MIT" ]

7

2018-12-07T10:08:53.000Z

2021-03-24T07:52:36.000Z

tests/request/test_parameter_invalid.py

Colin-b/pyxelrest

5c8db40d1537d0f9c29acd928ec9519b6bb557ec

[ "MIT" ]

76

2018-12-07T10:29:48.000Z

2021-11-17T00:54:24.000Z

tests/request/test_parameter_invalid.py

Colin-b/pyxelrest

5c8db40d1537d0f9c29acd928ec9519b6bb557ec

[ "MIT" ]

null

import pytest from responses import RequestsMock from tests import loader def test_parameter_cannot_be_parsed(responses: RequestsMock, tmpdir): responses.add( responses.GET, url="http://test/", json={ "swagger": "2.0", "paths": { "/test": { "get": { "parameters": [ { "in": "query", "name": "param", "schema": {}, } ], "responses": { "200": { "description": "return value", "schema": {"type": "string"}, } }, } } }, }, match_querystring=True, ) with pytest.raises(Exception) as exception_info: loader.load( tmpdir, { "invalid": { "open_api": {"definition": "http://test/"}, "formulas": {"dynamic_array": {"lock_excel": True}}, } }, ) assert ( str(exception_info.value) == "Unable to extract parameters from {'in': 'query', 'name': 'param', 'schema': {}, 'server_param_name': 'param'}" ) def test_parameter_with_more_than_one_field_type(responses: RequestsMock, tmpdir): responses.add( responses.GET, url="http://test/", json={ "swagger": "2.0", "paths": { "/test": { "get": { "parameters": [ { "in": "query", "name": "param", "type": ["string", "integer"], } ], "responses": { "200": { "description": "return value", } }, } } }, }, match_querystring=True, ) with pytest.raises(Exception) as exception_info: loader.load( tmpdir, { "invalid": { "open_api": {"definition": "http://test/"}, "formulas": {"dynamic_array": {"lock_excel": True}}, } }, ) assert ( str(exception_info.value) == "Unable to guess field type amongst ['string', 'integer']" )

30.119565

123

0.339589

168

2,771

5.452381

0.392857

0.034935

0.036026

0.052402

0.735808

0.631004

0

0.007819

0.538434

2,771

91

124

30.450549

0.708366

0

0.55814

0

0.011628

0.192349

0

0.023256

1

0.023256

false

0

0.034884

0

0.05814

0

null

0

1

0

1

0

null

0

2

185ab66623ac277ebae7a53438dfbee88f107a07

4,450

py

Python

pyaz/sql/instance_pool/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/sql/instance_pool/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/sql/instance_pool/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

from ... pyaz_utils import _call_az def show(name, resource_group): ''' Get the details for an instance pool. Required Parameters: - name -- Instance Pool Name - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az sql instance-pool show", locals()) def list(resource_group=None): ''' List available instance pools. Optional Parameters: - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az sql instance-pool list", locals()) def update(name, resource_group, add=None, force_string=None, remove=None, set=None, tags=None): ''' Update an instance pool. Required Parameters: - name -- Instance Pool Name - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - add -- Add an object to a list of objects by specifying a path and key value pairs. Example: --add property.listProperty <key=value, string or JSON string> - force_string -- When using 'set' or 'add', preserve string literals instead of attempting to convert to JSON. - remove -- Remove a property or an element from a list. Example: --remove property.list <indexToRemove> OR --remove propertyToRemove - set -- Update an object by specifying a property path and value to set. Example: --set property1.property2=<value> - tags -- space-separated tags: key[=value] [key[=value] ...]. Use '' to clear existing tags. ''' return _call_az("az sql instance-pool update", locals()) def delete(name, resource_group, no_wait=None, yes=None): ''' Delete an instance pool. Required Parameters: - name -- Instance Pool Name - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - no_wait -- Do not wait for the long-running operation to finish. - yes -- Do not prompt for confirmation. ''' return _call_az("az sql instance-pool delete", locals()) def create(capacity, family, location, name, resource_group, subnet, tier, license_type=None, no_wait=None, tags=None, vnet_name=None): ''' Create an instance pool. Required Parameters: - capacity -- Capacity of the instance pool in vcores. - family -- The compute generation component of the sku. Allowed value: Gen5 - location -- Location. Values from: `az account list-locations`. You can configure the default location using `az configure --defaults location=<location>`. - name -- Instance Pool Name - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` - subnet -- Name or ID of the subnet that allows access to an Instance Pool. If subnet name is provided, --vnet-name must be provided. - tier -- The edition component of the sku. Allowed value: GeneralPurpose. Optional Parameters: - license_type -- The license type to apply for this instance pool. - no_wait -- Do not wait for the long-running operation to finish. - tags -- space-separated tags: key[=value] [key[=value] ...]. Use '' to clear existing tags. - vnet_name -- The virtual network name ''' return _call_az("az sql instance-pool create", locals()) def wait(name, resource_group, created=None, custom=None, deleted=None, exists=None, interval=None, timeout=None, updated=None): ''' Wait for an instance pool to reach a desired state. Required Parameters: - name -- Instance Pool Name - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - created -- wait until created with 'provisioningState' at 'Succeeded' - custom -- Wait until the condition satisfies a custom JMESPath query. E.g. provisioningState!='InProgress', instanceView.statuses[?code=='PowerState/running'] - deleted -- wait until deleted - exists -- wait until the resource exists - interval -- polling interval in seconds - timeout -- maximum wait in seconds - updated -- wait until updated with provisioningState at 'Succeeded' ''' return _call_az("az sql instance-pool wait", locals())

45.408163

164

0.702472

598

4,450

5.165552

0.250836

0.07381

0.055034

0.04079

0.436711

0.418258

0.399482

0.371318

0.360635

0

0.000842

0.198876

4,450

97

165

45.876289

0.865638

0.733034

0

0.169565

0

1

0.461538

false

0

0.076923

0

1

0

null

0

null

0

1

0

1

0

2

186a69b010242e5cd6623bba8225f28d59422edb

943

py

Python

alert/getinfo/model/configdata.py

xwwwb/genshin_task-resin-expedition_alert

cddaafc2723c5d9eea6fbd1db792ad70427344c8

[ "MIT" ]

2

2022-03-01T10:39:30.000Z

2022-03-29T13:40:37.000Z

alert/getinfo/model/configdata.py

xwwwb/genshin_task-resin-expedition_alert

cddaafc2723c5d9eea6fbd1db792ad70427344c8

[ "MIT" ]

null

alert/getinfo/model/configdata.py

xwwwb/genshin_task-resin-expedition_alert

cddaafc2723c5d9eea6fbd1db792ad70427344c8

[ "MIT" ]

null

from typing import List, Literal import pydantic class ConfigData(pydantic.BaseModel): UID: str COOKIE:str SCKEY:str SCTKEY:str BARK_KEY:str BARK_GROUP:str BARK_ICON:str BARK_ARCHIVE:str WW_ID: str WW_APP_SECRET: str WW_APP_USERID: str WW_APP_AGENTID: str WW_BOT_KEY: str DD_BOT_TOKEN: str DD_BOT_SECRET: str DISCORD_WEBHOOK: str IGOT_KEY: str PUSH_PLUS_TOKEN: str PUSH_PLUS_USER: str TG_BOT_API: str TG_BOT_TOKEN: str TG_USER_ID: str COOL_PUSH_SKEY: str COOL_PUSH_MODE: Literal["send","psend","group","pgroup"] COOL_PUSH_SENDID: str QMSG_KEY: str RESIN_ALERT_NUM: int RECEIVE_RESIN_DATA: Literal["ON","OFF"] RECEIVE_BOSS_COUNT: Literal["ON","OFF"] RECEIVE_TASK_NUM: Literal["ON","OFF"] REVEIVE_EXPEDITION_NUM: Literal["ON","OFF"] INCOMPLETE_ALERT: str SLEEP_TIME: int ALERT_SUCCESS_SLEEP_TIME:int

23

60

0.688229

142

943

4.211268

0.429577

0.041806

0.080268

0.063545

0

0.226935

943

41

61

23

0.820302

0

0.042373

0

1

0

true

0

0.054054

0

1

0

null

0

null

0

1

0

1

0

2

1874ca96a1f31b40d52d15b318f020ba7a9562e6

811

py

Python

tests/test_linked_queue.py

dataloudlabs/dloud-ads

d0ad3f169c2384292db4097e00ba7858f37a8198

[ "MIT" ]

null

tests/test_linked_queue.py

dataloudlabs/dloud-ads

d0ad3f169c2384292db4097e00ba7858f37a8198

[ "MIT" ]

null

tests/test_linked_queue.py

dataloudlabs/dloud-ads

d0ad3f169c2384292db4097e00ba7858f37a8198

[ "MIT" ]

null

""" Unit tests for linked_queue.LinkedQueue """ from dloud_ads import linked_queue def test_dummy(): """ Test definition""" the_queue = linked_queue.LinkedQueue() assert the_queue.is_empty() assert not the_queue the_queue.enqueue(2) assert not the_queue.is_empty() assert len(the_queue) == 1 assert the_queue.dequeue() == 2 _ = [the_queue.enqueue(x) for x in range(4)] assert len(the_queue) == 4 assert [the_queue.dequeue() for x in range(4)] == [0, 1, 2, 3] assert not the_queue _ = [the_queue.enqueue(x) for x in range(9)] assert len(the_queue) == 9 _ = [the_queue.enqueue(x) for x in range(2)] assert len(the_queue) == 11 expected = [0, 1, 2, 3, 4, 5, 6, 7, 8, 0, 1] assert [the_queue.dequeue() for x in range(11)] == expected

26.16129

66

0.637485

132

811

3.719697

0.280303

0.260692

0.0611

0.112016

0.519348

0.395112

0.295316

0

0.044657

0.22688

811

30

67

27.033333

0.738437

0.067818

0

0.105263

0

0.578947

1

0.052632

false

0

0.052632

0

0.105263

0

null

1

0

null

0

1

0

2

187dce0fab5d7dab6ce2381189b7af90777ddbc1

732

py

Python

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/cli.py

go-choppy/choppy-cookiecutter-pypackage

b5bfc226089bba7002397c4055199b7b57c773ea

[ "BSD-3-Clause" ]

2

2019-07-09T14:03:02.000Z

2019-07-09T14:18:55.000Z

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/cli.py

yjcyxky/cookiecutter-pypackage

b5bfc226089bba7002397c4055199b7b57c773ea

[ "BSD-3-Clause" ]

null

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/cli.py

yjcyxky/cookiecutter-pypackage

b5bfc226089bba7002397c4055199b7b57c773ea

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # PYTHON_ARGCOMPLETE_OK """ {{cookiecutter.project_slug}}.cli ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ {{ cookiecutter.project_short_description }} :copyright: © 2019 by the Choppy Team. :license: AGPLv3+, see LICENSE for more details. """ """Console script for {{cookiecutter.project_slug}}.""" import sys import click @click.command() def main(args=None): """Console script for {{cookiecutter.project_slug}}.""" click.echo("Replace this message by putting your code into " "{{cookiecutter.project_slug}}.cli.main") click.echo("See click documentation at http://click.pocoo.org/") return 0 if __name__ == "__main__": sys.exit(main()) # pragma: no cover

25.241379

68

0.64071

87

732

5.218391

0.643678

0.209251

0.202643

0.114537

0.171806

0

0.00995

0.17623

732

28

69

26.142857

0.741294

0.42623

0

0.433333

0.115152

0

1

0.1

false

0

0.2

0

0.4

0

null

1

0

null

0

2

187e7d05e0f32e5a771a3ba903dffb0254e60e4c

891

py

Python

test/classes/test_players.py

teamvolik/teamvolik

35acc1405d4f0211236631d0c5bbdbf4f948fcb6

[ "MIT" ]

6

2022-03-27T22:13:35.000Z

2022-03-31T22:45:02.000Z

test/classes/test_players.py

teamvolik/teamvolik

35acc1405d4f0211236631d0c5bbdbf4f948fcb6

[ "MIT" ]

15

2022-03-18T09:47:31.000Z

2022-03-29T15:26:51.000Z

test/classes/test_players.py

teamvolik/teamvolik

35acc1405d4f0211236631d0c5bbdbf4f948fcb6

[ "MIT" ]

null

import unittest import src.classes.player as player class PlayersTest(unittest.TestCase): def test_to_string(self): self.assertTrue(str(player.Player()) == "Player(id=-1, name=UNDEFINED, is_adm=False, games=0, pitch=0.0, hold=0.0, passing=0.0, movement=0.0, attacking=0.0, rating=0.0)") def test_to_sqlite_table(self): empty_player = player.Player() self.assertTrue(empty_player.to_sqlite_table() == (-1, "UNDEFINED", False, 0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0)) def test_from_sqlite_table(self): self.assertTrue(str(player.Player.from_sqlite_table(None)) == str(player.Player())) player_info = (1, "AF", True, 3, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0) self.assertTrue(str(player.Player.from_sqlite_table(player_info)) == str(player.Player(1, "AF", True, 3, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0))) if __name__ == "__main__": unittest.main()

40.5

178

0.654321

153

891

3.633987

0.281046

0.064748

0.059353

0.071942

0.320144

0.253597

0.095324

0

0.074967

0.161616

891

21

179

42.428571

0.669344

0

0.071429

0.166106

0

0.285714

1

0.214286

false

0.071429

0.142857

0

0.428571

0

null

0

null

0

1

0

1

0

2

43ee04853e52a2ff347eaf6785c0c115ae6ad8aa

164

py

Python

agc/agc007/agc007a.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

1

2019-08-21T00:49:34.000Z

agc/agc007/agc007a.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

agc/agc007/agc007a.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

[ "MIT" ]

null

H, W = map(int, input().split()) A = [input() for _ in range(H)] if H + W - 1 == sum(a.count('#') for a in A): print('Possible') else: print('Impossible')

20.5

45

0.542683

28

164

3.142857

0.642857

0.045455

0

0.007813

0.219512

164

7

46

23.428571

0.679688

0

0.115854

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

43f06ebbb7637e1e6c0f53bef04ad021c74daf38

2,188

py

Python

relfs/relfs/fuse/mount_root.py

matus-chochlik/various

2a9f5eddd964213f7d1e1ce8328e2e0b2a8e998b

[ "MIT" ]

1

2020-10-25T12:28:50.000Z

relfs/relfs/fuse/mount_root.py

matus-chochlik/various

2a9f5eddd964213f7d1e1ce8328e2e0b2a8e998b

[ "MIT" ]

null

relfs/relfs/fuse/mount_root.py

matus-chochlik/various

2a9f5eddd964213f7d1e1ce8328e2e0b2a8e998b

[ "MIT" ]

null

# coding=utf-8 #------------------------------------------------------------------------------# import os import time import fuse import errno from .item import RelFuseItem from .static_dir import StaticDirectory #------------------------------------------------------------------------------# class MountRoot(RelFuseItem): # -------------------------------------------------------------------------- def __init__(self): RelFuseItem.__init__(self) self._mount_time = time.time() self._relfs_dir = StaticDirectory() self._repos_backstage = self._relfs_dir.add("repos", StaticDirectory()) self._repos = dict() # -------------------------------------------------------------------------- def add_repo_root(self, name, item): self._repos[name] = item # -------------------------------------------------------------------------- def repos_backstage(self): return self._repos_backstage # -------------------------------------------------------------------------- def find_item(self, split_path): if not split_path or split_path == ["."]: return self if split_path[0] == ".relfs": return self._relfs_dir.find_item(split_path[1:]) try: repo = self._repos[split_path[0]] return repo.find_item(split_path[1:]) except KeyError: pass # -------------------------------------------------------------------------- def readdir(self, fh): yield ".." yield "." yield ".relfs" for name in self._repos: yield name # -------------------------------------------------------------------------- def _modify_time(self): return self._mount_time # -------------------------------------------------------------------------- def access(self, mode): if mode & os.X_OK: return 0 return RelFuseItem.access(self, mode) # -------------------------------------------------------------------------- def _get_mode(self): return 0o40550 #------------------------------------------------------------------------------#

35.290323

80

0.359232

160

2,188

4.63125

0.33125

0.08502

0.048583

0.045884

0.048583

0

0.006849

0.199269

2,188

61

81

35.868852

0.416096

0.386654

0

0.015837

0

1

0.195122

false

0.02439

0.146341

0.073171

0.560976

0

null

0

1

0

null

0

1

0

2

43fe8ce604f5be764fdbae5dfb8933ec293fcd26

187

py

Python

App/softwares_env/wizard/wsd/main.py

Wizard-collab/wizard

c2ec623fe011626716493c232b895fb0513f68ff

[ "MIT" ]

null

App/softwares_env/wizard/wsd/main.py

Wizard-collab/wizard

c2ec623fe011626716493c232b895fb0513f68ff

[ "MIT" ]

null

App/softwares_env/wizard/wsd/main.py

Wizard-collab/wizard

c2ec623fe011626716493c232b895fb0513f68ff

[ "MIT" ]

null

import yaml class wsd(): def __init__(self, file, dict): self.file = file self.dict = dict def write_sd(self): with open(self.file, 'w') as f: f.write(yaml.dump(self.dict))

17

33

0.652406

32

187

3.65625

0.53125

0.205128

0

0.192513

187

11

34

17

0.774834

0

0.005319

0

1

0.25

false

0

0.125

0

0.5

0

null

1

0

null

0

1

0

2

a1081e4aca80f13d81fb5c284f116c973136197c

608

py

Python

libs/dispatch/dispatcher.py

eeshakumar/hythe

52ca795c8370ddfb2aa6fb87ff3f63a85c55f913

[ "MIT" ]

null

libs/dispatch/dispatcher.py

eeshakumar/hythe

52ca795c8370ddfb2aa6fb87ff3f63a85c55f913

[ "MIT" ]

null

libs/dispatch/dispatcher.py

eeshakumar/hythe

52ca795c8370ddfb2aa6fb87ff3f63a85c55f913

[ "MIT" ]

null

from abc import abstractmethod, ABC class Dispatcher(ABC): def __init__(self, dispatch_dict=None): self._dispatch_dict = dispatch_dict self._process_list = [] return def set_dispatch_dict(self, dispatch_dict): self._dispatch_dict = dispatch_dict @abstractmethod def dispatch(self): raise NotImplementedError @staticmethod def execute(dispatch_obj): try: print("Running experiment with seed:", dispatch_obj[0]) dispatch_obj[1].run() except IOError as io_error: print(io_error.message)

22.518519

67

0.648026

68

608

5.485294

0.529412

0.225201

0.171582

0.128686

0.225201

0

0.004535

0.274671

608

26

68

23.384615

0.84127

0

0.111111

0

0.047855

0

1

0.222222

false

0

0.055556

0

0.388889

0.111111

0

null

1

0

null

0

1

0

2

a111862555b1576ad0436f2aab598c4b8d1d29a9

708

py

Python

report/api/hooks.py

Aaron-DH/openstack_sample_project

711a56311806d52b632e4394743bd4bdbacb103a

[ "Apache-2.0" ]

null

report/api/hooks.py

Aaron-DH/openstack_sample_project

711a56311806d52b632e4394743bd4bdbacb103a

[ "Apache-2.0" ]

null

report/api/hooks.py

Aaron-DH/openstack_sample_project

711a56311806d52b632e4394743bd4bdbacb103a

[ "Apache-2.0" ]

null

from oslo_log import log from oslo_config import cfg from report import storage from pecan import hooks LOG = log.getLogger(__name__) class RPCHook(hooks.PecanHook): def __init__(self, rcp_client): self._rpc_client = rcp_client def before(self, state): state.request.rpc_client = self._rpc_client class DBHook(hooks.PecanHook): def __init__(self): self.storage_connection = storage.get_connection_from_config(cfg.CONF) if not self.storage_connection: raise Exception("Api failed to start. " "Failed to connect to database.") def before(self, state): state.request.storage_conn = self.storage_connection

25.285714

78

0.69209

91

708

5.076923

0.428571

0.058442

0.136364

0.090909

0.238095

0.12987

0

0.233051

708

27

79

26.222222

0.850829

0

0.111111

0

0.072034

0

1

0.222222

false

0

0.222222

0

0.555556

0

null

0

null

0

1

0

1

0

2

a115499f10a5a3acf2f24d7e3dd1a76b57b5b137

245

py

Python

Projects/Python_Python2_json/main.py

LiuOcean/luban_examples

75d5fd7c1b15d79efc0ebbac21a74bf050aed1fb

[ "MIT" ]

44

2021-05-06T06:16:55.000Z

2022-03-30T06:27:25.000Z

Projects/Python_Python2_json/main.py

HFX-93/luban_examples

5b90e392d404950d12ff803a186b26bdea5e0292

[ "MIT" ]

1

2021-07-25T16:35:32.000Z

2021-08-23T04:59:49.000Z

Projects/Python_Python2_json/main.py

HFX-93/luban_examples

5b90e392d404950d12ff803a186b26bdea5e0292

[ "MIT" ]

14

2021-06-09T10:38:59.000Z

2022-03-30T06:27:24.000Z

import json import gen.Types def loader(f): return json.load(open('../GenerateDatas/json/' + f + ".json", 'r'), encoding="utf-8") tables = gen.Types.Tables(loader) print(tables) r = tables.TbFullTypes.getDataList()[0].__dict__ print(r)

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a122487d9193d1e9db5e1e4904c5779cf5ab0b4a

1,713

py

Python

Release/cyberbot-micropython/Examples/Terminal_DA_AD.py

parallaxinc/cyberbot

f7c4d355ee0310dcfef81027802cc41ac6ce90e1

[ "MIT" ]

4

2019-03-18T20:49:41.000Z

2022-03-24T01:44:36.000Z

Release/cyberbot-micropython/Examples/Terminal_DA_AD.py

parallaxinc/cyberbot

f7c4d355ee0310dcfef81027802cc41ac6ce90e1

[ "MIT" ]

5

2019-06-07T18:09:27.000Z

2021-04-08T17:16:55.000Z

Release/cyberbot-micropython/Examples/Terminal_DA_AD.py

parallaxinc/cyberbot

f7c4d355ee0310dcfef81027802cc41ac6ce90e1

[ "MIT" ]

null

# Terminal_DA_AD.py # Circuit # D/A0---A/D0, D/A1---A/D1, # pot A---3.3V, potB---GND, pot wiper---A/D2 # Procedure # Run, then open REPL and then CTRL + D # Twist pot input while program runs to see ad2 vary # Notes # micro:bit ground is 0.4 V below cyber:bot board ground # micro:bit 3.3 V = 3.245 V WRT cyber:bot board ground # cyber:bot 3.3 V = 3.326 V WRT cyber:bot board ground # Output example # da0 = 0, da1 = 1024, ad0 = 13, ad1 = 623, ad2 = 7 # da0 = 64, da1 = 960, ad0 = 72, ad1 = 998, ad2 = 7 # da0 = 128, da1 = 896, ad0 = 137, ad1 = 934, ad2 = 7 # da0 = 192, da1 = 832, ad0 = 203, ad1 = 871, ad2 = 7 # da0 = 256, da1 = 768, ad0 = 266, ad1 = 805, ad2 = 87 # da0 = 320, da1 = 704, ad0 = 332, ad1 = 744, ad2 = 150 # da0 = 384, da1 = 640, ad0 = 398, ad1 = 680, ad2 = 211 # da0 = 448, da1 = 576, ad0 = 461, ad1 = 617, ad2 = 261 # da0 = 512, da1 = 512, ad0 = 526, ad1 = 554, ad2 = 308 # da0 = 576, da1 = 448, ad0 = 588, ad1 = 490, ad2 = 372 # da0 = 640, da1 = 384, ad0 = 652, ad1 = 425, ad2 = 469 # da0 = 704, da1 = 320, ad0 = 716, ad1 = 360, ad2 = 629 # da0 = 768, da1 = 256, ad0 = 779, ad1 = 295, ad2 = 806 # da0 = 832, da1 = 192, ad0 = 845, ad1 = 231, ad2 = 867 # da0 = 896, da1 = 128, ad0 = 907, ad1 = 165, ad2 = 947 # da0 = 960, da1 = 64, ad0 = 970, ad1 = 100, ad2 = 1023 from cyberbot import * bot(22).tone(2000, 300) while True: for da in range(0, 1024, 64): bot(20).write_analog(da) bot(21).write_analog(1024 - da) sleep(20) ad0 = pin0.read_analog() ad1 = pin1.read_analog() ad2 = pin2.read_analog() print("da0 = %d, da1 = %d, ad0 = %d, ad1 = %d, ad2 = %d" % (da, 1024 - da, ad0, ad1, ad2)) sleep(150) print(" ") sleep(500)

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null

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a124c13c10af7bc999fd4983d83bef5b21b878ff

64

py

Python

notebooks/_solutions/13-raster-processing32.py

jorisvandenbossche/DS-python-geospatial

893a12edc5c203a75815f6dcb5f1e18c577c8cd5

[ "BSD-3-Clause" ]

58

2020-10-09T10:10:59.000Z

2022-03-07T14:58:07.000Z

notebooks/_solutions/13-raster-processing32.py

jorisvandenbossche/DS-python-geospatial

893a12edc5c203a75815f6dcb5f1e18c577c8cd5

[ "BSD-3-Clause" ]

24

2020-09-30T19:57:14.000Z

2021-10-05T07:21:09.000Z

notebooks/_solutions/13-raster-processing32.py

jorisvandenbossche/DS-python-geospatial

893a12edc5c203a75815f6dcb5f1e18c577c8cd5

[ "BSD-3-Clause" ]

19

2020-10-05T09:32:18.000Z

2022-03-20T00:09:14.000Z

roads_subset = roads[roads["frc_omschrijving"].isin(road_types)]

64

0.8125

9

64

5.444444

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1

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false

0

1

0

null

0

1

0

null

0

2

a128f73c987352e7a2b67ff853ae7ba81f0f3c24

198

py

Python

py files/normalization.py

kilarinikhil/ComputerVision

1cb2985f9c5e45bd0763cb676028ea97fce2b27b

[ "Apache-2.0" ]

null

py files/normalization.py

kilarinikhil/ComputerVision

1cb2985f9c5e45bd0763cb676028ea97fce2b27b

[ "Apache-2.0" ]

null

py files/normalization.py

kilarinikhil/ComputerVision

1cb2985f9c5e45bd0763cb676028ea97fce2b27b

[ "Apache-2.0" ]

1

2020-06-04T18:39:00.000Z

import numpy as np def normalize(image): mean = np.mean(image) meanSubtractedImage = image - mean return np.divide(meanSubtractedImage,np.power(np.sum(np.power(meanSubtractedImage,2)),0.5))

22

92

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5.321429

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0.017241

0.121212

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null

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null

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a130aee35a17b1d7653613de1de880f9a3444608

305

py

Python

packages/grid/apps/worker/src/main/core/database/groups/groups.py

exityan/PySyft

35166c487a5be57f9ad28929ed88a8ba6bdd5aeb

[ "Apache-2.0" ]

425

2019-09-22T06:14:53.000Z

2022-03-30T02:17:34.000Z

packages/grid/apps/worker/src/main/core/database/groups/groups.py

Metrix1010/PySyft

6477f64b63dc285059c3766deab3993653cead2e

[ "Apache-2.0" ]

352

2019-09-17T15:32:51.000Z

2022-03-12T01:07:35.000Z

packages/grid/apps/worker/src/main/core/database/groups/groups.py

Metrix1010/PySyft

6477f64b63dc285059c3766deab3993653cead2e

[ "Apache-2.0" ]

208

2019-09-18T18:32:10.000Z

2022-03-24T01:10:11.000Z

# grid relative from .. import BaseModel from .. import db class Group(BaseModel): __tablename__ = "group" id = db.Column(db.Integer(), primary_key=True, autoincrement=True) name = db.Column(db.String(255)) def __str__(self): return f"<Group id: {self.id}, name: {self.name}>"

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null

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null

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2

a1423e6a2572b095e511d07a5f47171e04381471

4,579

py

Python

aleph/tests/test_documents_api.py

gazeti/aleph

f6714c4be038471cfdc6408bfe88dc9e2ed28452

[ "MIT" ]

1

2017-07-28T12:54:09.000Z

aleph/tests/test_documents_api.py

gazeti/aleph

f6714c4be038471cfdc6408bfe88dc9e2ed28452

[ "MIT" ]

7

2017-08-16T12:49:23.000Z

2018-02-16T10:22:11.000Z

aleph/tests/test_documents_api.py

gazeti/aleph

f6714c4be038471cfdc6408bfe88dc9e2ed28452

[ "MIT" ]

6

2017-07-26T12:29:53.000Z

2017-08-18T09:35:50.000Z

import json from aleph.tests.util import TestCase class DocumentsApiTestCase(TestCase): def setUp(self): super(DocumentsApiTestCase, self).setUp() self.load_fixtures('docs.yaml') def test_index(self): res = self.client.get('/api/1/documents') assert res.status_code == 200, res self.login(is_admin=True) res = self.client.get('/api/1/documents') assert res.status_code == 200, res assert res.json['total'] == 4, res.json fix = '720badc9cfa9a80fc455239f86c56273dc5c8291' res = self.client.get('/api/1/documents?content_hash=%s' % fix) assert res.status_code == 200, res assert res.json['total'] == 1, res.json assert res.json['results'][0]['content_hash'] == fix, res.json def test_view(self): doc_id = 1000 res = self.client.get('/api/1/documents/%s' % doc_id) assert res.status_code == 200, res assert res.json['foreign_id'] == 'test1', res res = self.client.get('/api/1/documents/328984') assert res.status_code == 404, res def test_view_tables(self): doc_id = 1003 res = self.client.get('/api/1/documents/%s/tables/0' % doc_id) assert res.status_code == 200, res assert 'sheet_name' in res.json, res.json res = self.client.get('/api/1/documents/%s/tables/444' % doc_id) assert res.status_code == 404, res def test_view_records(self): res = self.client.get('/api/1/documents/1003/records') assert res.status_code == 200, res assert 'results' in res.json, res.json assert len(res.json['results']) == 10, res.json def test_view_record_by_id(self): doc_id = 1000 res = self.client.get('/api/1/documents/%s/records/1' % doc_id) assert res.status_code == 200, res assert 'banana' in res.json['text'], res assert 'total' not in res.json['text'], res res = self.client.get('/api/1/documents/%s/records/2' % doc_id) assert 'total' in res.json['text'], res res = self.client.get('/api/1/documents/%s/records/2000' % doc_id) assert res.status_code == 404, res def test_records_search(self): res = self.client.get('/api/1/documents/1003/records?q=kwazulu') assert res.status_code == 200, res assert res.json['total'] == 1, res.json def test_view_pdf(self): res = self.client.get('/api/1/documents/1003/pdf') assert res.status_code == 400, res res = self.client.get('/api/1/documents/1000/pdf') assert res.status_code == 404, res def test_view_references(self): doc_id = 1001 res = self.client.get('/api/1/documents/%s/references' % doc_id) assert res.status_code == 403, res self.login(is_admin=True) res = self.client.get('/api/1/documents/%s/references' % doc_id) assert res.status_code == 200, res assert 'results' in res.json, res.json # assert len(res.json['results']) == 2, res.json def test_update_simple(self): url = '/api/1/documents/1000' res = self.client.get(url) assert res.status_code == 200, res data = res.json res = self.client.post(url, data=json.dumps(data), content_type='application/json') assert res.status_code == 403, res.json data['title'] = 'Eaten by a pumpkin' self.login(is_admin=True) res = self.client.post(url, data=json.dumps(data), content_type='application/json') assert res.status_code == 200, res.json assert res.json['title'] == data['title'], res.json def test_update_invalid(self): url = '/api/1/documents/1000' ores = self.client.get(url) self.login(is_admin=True) data = ores.json.copy() data['countries'] = ['xz'] res = self.client.post(url, data=json.dumps(data), content_type='application/json') assert res.status_code == 400, res.json data = ores.json.copy() data['urls'] = ['lalala'] res = self.client.post(url, data=json.dumps(data), content_type='application/json') assert res.status_code == 400, res.json data = ores.json.copy() data['dates'] = ['2011-XX-XX'] res = self.client.post(url, data=json.dumps(data), content_type='application/json') assert res.status_code == 400, res.json

37.227642

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null

0

1

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null

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a15ae079911483a5e3b82012f76254443eb7a059

339

py

Python

counter-test-applications/lr100000/linear-regr-100k.py

EsperLiu/vPython

f1005f011d6d9fd079cf72e8f78bab6d95a9f993

[ "0BSD" ]

1

2021-11-21T03:31:32.000Z

counter-test-applications/lr100000/linear-regr-100k.py

EsperLiu/vPython

f1005f011d6d9fd079cf72e8f78bab6d95a9f993

[ "0BSD" ]

null

counter-test-applications/lr100000/linear-regr-100k.py

EsperLiu/vPython

f1005f011d6d9fd079cf72e8f78bab6d95a9f993

[ "0BSD" ]

1

2021-11-28T05:57:55.000Z

def end_of_import(): return 0 def end_of_init(): return 0 def end_of_computing(): return 0 import numpy as np from sklearn.linear_model import LinearRegression end_of_import() X = np.array(range(0,100000)).reshape(-1, 1) # y = 2x + 3 y = np.dot(X, 2) + 3 end_of_init() reg = LinearRegression().fit(X, y) end_of_computing()

16.95

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339

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0

null

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null

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1

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2

a15b3e54d6303597b66c9ac9aa7e5fefcc34013d

262

py

Python

python/bitcoin/ch04/04_08.py

gangserver/py_test

869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4

[ "Apache-2.0" ]

null

python/bitcoin/ch04/04_08.py

gangserver/py_test

869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4

[ "Apache-2.0" ]

null

python/bitcoin/ch04/04_08.py

gangserver/py_test

869bdfa5c94c3b6a15b87e0c3de6b2cdaca821f4

[ "Apache-2.0" ]

null

import requests url = "https://api.korbit.co.kr/v1/ticker/detailed?currency_pair=btc_krw" r = requests.get(url) bitcoin = r.json() print(bitcoin) print(type(bitcoin)) print(bitcoin['last']) print(bitcoin['bid']) print(bitcoin['ask']) print(bitcoin['volume'])

18.714286

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null

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a16aa7de0e511402c80303f34d1d2b678e7b0256

446

py

Python

tests/LayoutTest.py

lakhman/restructuredWeb

a8aff9f96c63415fdefe6832f923a6d395d4ebdd

[ "MIT" ]

2

2021-05-19T15:43:26.000Z

2021-05-19T16:07:00.000Z

tests/LayoutTest.py

lakhman/restructuredWeb

a8aff9f96c63415fdefe6832f923a6d395d4ebdd

[ "MIT" ]

null

tests/LayoutTest.py

lakhman/restructuredWeb

a8aff9f96c63415fdefe6832f923a6d395d4ebdd

[ "MIT" ]

1

2021-05-19T15:43:44.000Z

# -*- coding: utf-8 -*- from .BaseTest import BaseTest class LayoutTest(BaseTest): def test_layout_switch(self): """ Test layout switch """ self.do_component_fixture_test_with_real_sphinx('layout', 'layout') def test_layout_multiple(self): """ Test multiple layout directives throw an error """ self.do_component_fixture_test_with_real_sphinx('layout', 'multiple-error')

26.235294

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0.470588

0.109489

0.094891

0.145985

0.335766

0

0.002959

0.242152

446

16

84

27.875

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0

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0

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false

0

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0

null

0

null

0

1

0

1

0

2

a17081dce9dfbf674f07300258797fe7e68a0847

1,746

py

Python

017. Letter Combinations of a Phone Number.py

youhusky/Facebook_Prepare

4045bcb652537711b3680b2aa17204ae73c6bde8

[ "MIT" ]

6

2017-10-30T05:35:46.000Z

2020-12-15T06:51:52.000Z

017. Letter Combinations of a Phone Number.py

youhusky/Facebook_Prepare

4045bcb652537711b3680b2aa17204ae73c6bde8

[ "MIT" ]

1

2017-10-30T04:11:31.000Z

2017-10-30T05:46:24.000Z

017. Letter Combinations of a Phone Number.py

youhusky/Facebook_Prepare

4045bcb652537711b3680b2aa17204ae73c6bde8

[ "MIT" ]

2

2020-09-03T07:14:02.000Z

2021-05-21T19:19:57.000Z

# Given a digit string, return all possible letter combinations that the number could represent. # A mapping of digit to letters (just like on the telephone buttons) is given below. # Input:Digit string "23" # Output: ["ad", "ae", "af", "bd", "be", "bf", "cd", "ce", "cf"]. # DFS backtracking class Solution(object): def letterCombinations(self, digits): """ O(2^n) :type digits: str :rtype: List[str] """ if not digits: return [] res = [] dic = { '2': 'abc', '3': 'def', '4': 'ghi', '5': 'jkl', '6': 'mno', '7': 'pqrs', '8': 'tuv', '9': 'wxyz' } self.dfs(res, '',dic,digits,0) return res def dfs(self, res, temp, dic,digits,index): if len(temp) == len(digits): res.append(temp) return # focus on ! # digits[index] -> 2: generate a,b,c for letter in dic[digits[index]]: self.dfs(res, temp+letter, dic, digits, index+1) class Solution2(object): def letterCombinations(self, password): if not password: return [] res = [] dic = {'a':"12", 'c':"34"} for char in password: if char not in dic: dic[char] = char self.dfs(res, "", dic, password, 0) return res def dfs(self, res, temp, dic, password, index): if index == len(password): res.append(temp) return for letter in dic[password[index]]: self.dfs(res, temp+letter, dic, password, index+1) m = Solution2() print m.letterCombinations('abc')

27.28125

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0.047004

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0.070505

0

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1,746

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null

0

null

0

1

0

1

0

2

a1730ed2d00a6babe52f239de2d480281d939967

13,395

py

Python

ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/packetinlist_10d8adb40e4e05f4b37904f2c6428ca9.py

OpenIxia/ixnetwork_restpy

f628db450573a104f327cf3c737ca25586e067ae

[ "MIT" ]

20

2019-05-07T01:59:14.000Z

2022-02-11T05:24:47.000Z

ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/packetinlist_10d8adb40e4e05f4b37904f2c6428ca9.py

OpenIxia/ixnetwork_restpy

f628db450573a104f327cf3c737ca25586e067ae

[ "MIT" ]

60

2019-04-03T18:59:35.000Z

2022-02-22T12:05:05.000Z

ixnetwork_restpy/testplatform/sessions/ixnetwork/topology/packetinlist_10d8adb40e4e05f4b37904f2c6428ca9.py

OpenIxia/ixnetwork_restpy

f628db450573a104f327cf3c737ca25586e067ae

[ "MIT" ]

13

2019-05-20T10:48:31.000Z

2021-10-06T07:45:44.000Z

# MIT LICENSE # # Copyright 1997 - 2020 by IXIA Keysight # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from ixnetwork_restpy.base import Base from ixnetwork_restpy.files import Files from typing import List, Any, Union class PacketInList(Base): """Openflow Switch PacketIn Configuration The PacketInList class encapsulates a list of packetInList resources that are managed by the system. A list of resources can be retrieved from the server using the PacketInList.find() method. """ __slots__ = () _SDM_NAME = 'packetInList' _SDM_ATT_MAP = { 'AuxiliaryId': 'auxiliaryId', 'Count': 'count', 'DescriptiveName': 'descriptiveName', 'FlowTable': 'flowTable', 'InPort': 'inPort', 'Name': 'name', 'PacketInName': 'packetInName', 'PhysicalInPort': 'physicalInPort', 'SendPacketIn': 'sendPacketIn', 'SwitchName': 'switchName', } _SDM_ENUM_MAP = { } def __init__(self, parent, list_op=False): super(PacketInList, self).__init__(parent, list_op) @property def AuxiliaryId(self): # type: () -> 'Multivalue' """ Returns ------- - obj(ixnetwork_restpy.multivalue.Multivalue): The identifier for auxiliary connections. """ from ixnetwork_restpy.multivalue import Multivalue return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['AuxiliaryId'])) @property def Count(self): # type: () -> int """ Returns ------- - number: Number of elements inside associated multiplier-scaled container object, e.g. number of devices inside a Device Group. """ return self._get_attribute(self._SDM_ATT_MAP['Count']) @property def DescriptiveName(self): # type: () -> str """ Returns ------- - str: Longer, more descriptive name for element. It's not guaranteed to be unique like -name-, but may offer more context. """ return self._get_attribute(self._SDM_ATT_MAP['DescriptiveName']) @property def FlowTable(self): # type: () -> 'Multivalue' """ Returns ------- - obj(ixnetwork_restpy.multivalue.Multivalue): If selected, the Switch looks up for each PacketIn configured in the Flow Table. """ from ixnetwork_restpy.multivalue import Multivalue return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['FlowTable'])) @property def InPort(self): # type: () -> 'Multivalue' """ Returns ------- - obj(ixnetwork_restpy.multivalue.Multivalue): The Switch Port on which, this Packet has come. """ from ixnetwork_restpy.multivalue import Multivalue return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['InPort'])) @property def Name(self): # type: () -> str """ Returns ------- - str: Name of NGPF element, guaranteed to be unique in Scenario """ return self._get_attribute(self._SDM_ATT_MAP['Name']) @Name.setter def Name(self, value): # type: (str) -> None self._set_attribute(self._SDM_ATT_MAP['Name'], value) @property def PacketInName(self): # type: () -> 'Multivalue' """ Returns ------- - obj(ixnetwork_restpy.multivalue.Multivalue): The description of the packet-in. """ from ixnetwork_restpy.multivalue import Multivalue return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['PacketInName'])) @property def PhysicalInPort(self): # type: () -> 'Multivalue' """ Returns ------- - obj(ixnetwork_restpy.multivalue.Multivalue): The physical In port value for this PacketIn range. It is the underlying physical port when packet is received on a logical port. """ from ixnetwork_restpy.multivalue import Multivalue return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['PhysicalInPort'])) @property def SendPacketIn(self): # type: () -> 'Multivalue' """ Returns ------- - obj(ixnetwork_restpy.multivalue.Multivalue): If selected, the Switch starts sending PacketIn messages when the session comes up. """ from ixnetwork_restpy.multivalue import Multivalue return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['SendPacketIn'])) @property def SwitchName(self): # type: () -> str """ Returns ------- - str: Parent Switch Name """ return self._get_attribute(self._SDM_ATT_MAP['SwitchName']) def update(self, Name=None): # type: (str) -> PacketInList """Updates packetInList resource on the server. This method has some named parameters with a type: obj (Multivalue). The Multivalue class has documentation that details the possible values for those named parameters. Args ---- - Name (str): Name of NGPF element, guaranteed to be unique in Scenario Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._update(self._map_locals(self._SDM_ATT_MAP, locals())) def add(self, Name=None): # type: (str) -> PacketInList """Adds a new packetInList resource on the json, only valid with config assistant Args ---- - Name (str): Name of NGPF element, guaranteed to be unique in Scenario Returns ------- - self: This instance with all currently retrieved packetInList resources using find and the newly added packetInList resources available through an iterator or index Raises ------ - Exception: if this function is not being used with config assistance """ return self._add_xpath(self._map_locals(self._SDM_ATT_MAP, locals())) def find(self, Count=None, DescriptiveName=None, Name=None, SwitchName=None): # type: (int, str, str, str) -> PacketInList """Finds and retrieves packetInList resources from the server. All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve packetInList resources from the server. To retrieve an exact match ensure the parameter value starts with ^ and ends with $ By default the find method takes no parameters and will retrieve all packetInList resources from the server. Args ---- - Count (number): Number of elements inside associated multiplier-scaled container object, e.g. number of devices inside a Device Group. - DescriptiveName (str): Longer, more descriptive name for element. It's not guaranteed to be unique like -name-, but may offer more context. - Name (str): Name of NGPF element, guaranteed to be unique in Scenario - SwitchName (str): Parent Switch Name Returns ------- - self: This instance with matching packetInList resources retrieved from the server available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._select(self._map_locals(self._SDM_ATT_MAP, locals())) def read(self, href): """Retrieves a single instance of packetInList data from the server. Args ---- - href (str): An href to the instance to be retrieved Returns ------- - self: This instance with the packetInList resources from the server available through an iterator or index Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ return self._read(href) def SendPause(self, *args, **kwargs): # type: (*Any, **Any) -> Union[List[str], None] """Executes the sendPause operation on the server. Pause Sending PacketIn sendPause(Arg2=list, async_operation=bool)list ---------------------------------------------- - Arg2 (list(number)): List of PacketIn. - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connection class will block until the operation is complete. - Returns list(str): ID to associate each async action invocation Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('sendPause', payload=payload, response_object=None) def SendStart(self, *args, **kwargs): # type: (*Any, **Any) -> Union[List[str], None] """Executes the sendStart operation on the server. Start Sending PacketIn sendStart(Arg2=list, async_operation=bool)list ---------------------------------------------- - Arg2 (list(number)): List of PacketIn. - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connection class will block until the operation is complete. - Returns list(str): ID to associate each async action invocation Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('sendStart', payload=payload, response_object=None) def SendStop(self, *args, **kwargs): # type: (*Any, **Any) -> Union[List[str], None] """Executes the sendStop operation on the server. Stop Sending PacketIn sendStop(Arg2=list, async_operation=bool)list --------------------------------------------- - Arg2 (list(number)): List of PacketIn. - async_operation (bool=False): True to execute the operation asynchronously. Any subsequent rest api calls made through the Connection class will block until the operation is complete. - Returns list(str): ID to associate each async action invocation Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('sendStop', payload=payload, response_object=None) def get_device_ids(self, PortNames=None, AuxiliaryId=None, FlowTable=None, InPort=None, PacketInName=None, PhysicalInPort=None, SendPacketIn=None): """Base class infrastructure that gets a list of packetInList device ids encapsulated by this object. Use the optional regex parameters in the method to refine the list of device ids encapsulated by this object. Args ---- - PortNames (str): optional regex of port names - AuxiliaryId (str): optional regex of auxiliaryId - FlowTable (str): optional regex of flowTable - InPort (str): optional regex of inPort - PacketInName (str): optional regex of packetInName - PhysicalInPort (str): optional regex of physicalInPort - SendPacketIn (str): optional regex of sendPacketIn Returns ------- - list(int): A list of device ids that meets the regex criteria provided in the method parameters Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._get_ngpf_device_ids(locals())

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null

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1

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a173f091bd6a84a9640f8e5bfa3ab824665803fb

1,038

py

Python

django/contrib/contenttypes/tests/models.py

benjaoming/django

6dbe979b4d9396e1b307c7d27388c97c13beb21c

[ "BSD-3-Clause" ]

2

2015-01-21T15:45:07.000Z

2015-02-21T02:38:13.000Z

env/lib/python2.7/site-packages/django/contrib/contenttypes/tests/models.py

luiscarlosgph/nas

e5acee61e8bbf12c34785fe971ce7df8dee775d4

[ "MIT" ]

10

2019-12-26T17:31:31.000Z

2022-03-21T22:17:33.000Z

env/lib/python2.7/site-packages/django/contrib/contenttypes/tests/models.py

luiscarlosgph/nas

e5acee61e8bbf12c34785fe971ce7df8dee775d4

[ "MIT" ]

1

2020-05-25T08:55:19.000Z

from django.db import models from django.utils.encoding import python_2_unicode_compatible from django.utils.http import urlquote class ConcreteModel(models.Model): name = models.CharField(max_length=10) class ProxyModel(ConcreteModel): class Meta: proxy = True @python_2_unicode_compatible class FooWithoutUrl(models.Model): """ Fake model not defining ``get_absolute_url`` for ContentTypesTests.test_shortcut_view_without_get_absolute_url() """ name = models.CharField(max_length=30, unique=True) def __str__(self): return self.name class FooWithUrl(FooWithoutUrl): """ Fake model defining ``get_absolute_url`` for ContentTypesTests.test_shortcut_view(). """ def get_absolute_url(self): return "/users/%s/" % urlquote(self.name) class FooWithBrokenAbsoluteUrl(FooWithoutUrl): """ Fake model defining a ``get_absolute_url`` method containing an error """ def get_absolute_url(self): return "/users/%s/" % self.unknown_field

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null

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null

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1

0

2

a174c86a4c793d497c49fdd9127b5aea515b4346

400

py

Python

utils/middleware.py

DavidRoldan523/elenas_test

8b520fae68a275654a42ad761713c9c932d17a76

[ "MIT" ]

null

utils/middleware.py

DavidRoldan523/elenas_test

8b520fae68a275654a42ad761713c9c932d17a76

[ "MIT" ]

null

utils/middleware.py

DavidRoldan523/elenas_test

8b520fae68a275654a42ad761713c9c932d17a76

[ "MIT" ]

null

from django.http import HttpResponse from django.utils.deprecation import MiddlewareMixin class HealthCheckMiddleware: def __init__(self, get_response): self.get_response = get_response def __call__(self, request): if request.META["PATH_INFO"] == "/health-check/": return HttpResponse("ok") response = self.get_response(request) return response

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null

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1

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null

0

1

0

2

a17ef045f77adc98f9fc666a8b89d72884c7ebf6

287

py

Python

tests/test_vsan/vars.py

wardy3/mdssdk

393102fab146917a3893b6aa2bd6a0449ad491c5

[ "Apache-2.0" ]

4

2020-12-13T20:02:43.000Z

2022-02-27T23:36:58.000Z

tests/test_vsan/vars.py

wardy3/mdssdk

393102fab146917a3893b6aa2bd6a0449ad491c5

[ "Apache-2.0" ]

13

2020-09-23T07:30:15.000Z

2022-03-30T01:12:25.000Z

tests/test_vsan/vars.py

wardy3/mdssdk

393102fab146917a3893b6aa2bd6a0449ad491c5

[ "Apache-2.0" ]

12

2020-05-11T09:33:21.000Z

2022-03-18T11:11:28.000Z

import logging import random log = logging.getLogger(__name__) reserved_id = [4079, 4094] boundary_id = [0, 4095] # No need to have end=4094 as there are some inbetween vsans reserved for fport-channel-trunk def get_random_id(start=2, end=400): return random.randint(start, end)

22.076923

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46

287

4.543478

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0.15331

287

12

94

23.916667

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0.317073

0

1

0.142857

false

0

0.285714

0.142857

0.571429

0

null

0

null

0

1

0

2

a18f308a306f458e03d32285aa21896641d7fc85

400

py

Python

stackoverflow/venv/lib/python3.6/site-packages/scrapy/utils/markup.py

zhi-xianwei/learn_python3_spider

a3301f8112e4ded25c3578162db8c6a263a0693b

[ "MIT" ]

9,953

2019-04-03T23:41:04.000Z

2022-03-31T11:54:44.000Z

stackoverflow/venv/lib/python3.6/site-packages/scrapy/utils/markup.py

W4LKURE/learn_python3_spider

98dd354a41598b31302641f9a0ea49d1ecfa0fb1

[ "MIT" ]

44

2019-05-27T10:59:29.000Z

2022-03-31T14:14:29.000Z

stackoverflow/venv/lib/python3.6/site-packages/scrapy/utils/markup.py

W4LKURE/learn_python3_spider

98dd354a41598b31302641f9a0ea49d1ecfa0fb1

[ "MIT" ]

2,803

2019-04-06T13:15:33.000Z

2022-03-31T07:42:01.000Z

""" Transitional module for moving to the w3lib library. For new code, always import from w3lib.html instead of this module """ import warnings from scrapy.exceptions import ScrapyDeprecationWarning from w3lib.html import * warnings.warn("Module `scrapy.utils.markup` is deprecated. " "Please import from `w3lib.html` instead.", ScrapyDeprecationWarning, stacklevel=2)

28.571429

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400

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400

14

67

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true

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null

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null

0

1

0

1

0

2

a1a9b8f9731ec54e8ec54f439eb2503d5d2d061e

961

py

Python

test/test_host.py

waylonwang/pure-python-adb

417539119611f93cf079a7d0e05e575df3e3446e

[ "MIT" ]

null

test/test_host.py

waylonwang/pure-python-adb

417539119611f93cf079a7d0e05e575df3e3446e

[ "MIT" ]

null

test/test_host.py

waylonwang/pure-python-adb

417539119611f93cf079a7d0e05e575df3e3446e

[ "MIT" ]

1

2020-10-08T10:18:13.000Z

def test_list_devices(client): devices = client.devices() assert len(devices) > 0 assert any(map(lambda device: device.serial == "emulator-5554", devices)) def test_list_devices_by_state(client): devices = client.devices(client.BOOTLOADER) assert len(devices) == 0 devices = client.devices(client.OFFLINE) assert len(devices) == 0 devices = client.devices(client.DEVICE) assert len(devices) == 1 def test_version(client): version = client.version() assert type(version) == int assert version != 0 def test_list_forward(client, device): client.killforward_all() result = client.list_forward() assert not result device.forward("tcp:6000", "tcp:6000") result = client.list_forward() assert result["emulator-5554"]["tcp:6000"] == "tcp:6000" client.killforward_all() result = client.list_forward() assert not result def test_features(client): assert client.features()

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961

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null

0

1

0

null

0

1

0

2

a1aa7f5e730996934c8876a85b426f2a47d1eacc

799

py

Python

appengine/experimental/crbadge/testdata/upload.py

allaparthi/monorail

e18645fc1b952a5a6ff5f06e0c740d75f1904473

[ "BSD-3-Clause" ]

2

2021-04-13T21:22:18.000Z

2021-09-07T02:11:57.000Z

appengine/experimental/crbadge/testdata/upload.py

allaparthi/monorail

e18645fc1b952a5a6ff5f06e0c740d75f1904473

[ "BSD-3-Clause" ]

21

2020-09-06T02:41:05.000Z

2022-03-02T04:40:01.000Z

appengine/experimental/crbadge/testdata/upload.py

allaparthi/monorail

e18645fc1b952a5a6ff5f06e0c740d75f1904473

[ "BSD-3-Clause" ]

null

#!/usr/bin/python import os, sys import optparse import json, urllib import httplib2 import urlparse def upload(filenames, url, password): parsed = urlparse.urlparse(url) http = httplib2.Http() for filename in filenames: with open(filename) as f: # Load and validate JSON o = json.load(f) s = json.dumps(o) resp, cont = http.request(url, method='POST', body=urllib.urlencode( {'data': s, 'password': password})) print 'sent data to %s' % url print 'response (%s): %s: %s' % (resp['status'], resp, cont) def main(): parser = optparse.OptionParser() parser.add_option('-u', '--url') parser.add_option('-p', '--password') options, args = parser.parse_args() upload(args, options.url, options.password) if __name__ == '__main__': main()

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null

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null

0

1

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1

0

2

a1ade519e607956e6b09f57c472fa7d337099ebf

138

py

Python

goldmeister/__init__.py

USDA-ARS-NWRC/goldmeister

b4624a355e551c4610834a9dcb971524c45bb437

[ "CC0-1.0" ]

null

goldmeister/__init__.py

USDA-ARS-NWRC/goldmeister

b4624a355e551c4610834a9dcb971524c45bb437

[ "CC0-1.0" ]

1

2020-09-17T16:16:13.000Z

2020-09-17T16:21:00.000Z

goldmeister/__init__.py

USDA-ARS-NWRC/goldmeister

b4624a355e551c4610834a9dcb971524c45bb437

[ "CC0-1.0" ]

null

"""Top-level package for Goldmeister.""" __author__ = """Micah Johnson""" __email__ = 'micah.johnson150@gmail.com' __version__ = '0.2.0'

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0

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1

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0

1

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null

0

1

0

null

0

2

a1b1b372ea41556cd122b9d3a8b1aaadf901cbd1

1,956

py

Python

uvicore/http/OBSOLETE/routes-OLD.py

coboyoshi/uvicore

9cfdeeac83000b156fe48f068b4658edaf51c8de

[ "MIT" ]

11

2021-03-22T22:07:49.000Z

2022-03-08T16:18:33.000Z

uvicore/http/OBSOLETE/routes-OLD.py

coboyoshi/uvicore

9cfdeeac83000b156fe48f068b4658edaf51c8de

[ "MIT" ]

12

2021-03-04T05:51:24.000Z

2021-09-22T05:16:18.000Z

uvicore/http/OBSOLETE/routes-OLD.py

coboyoshi/uvicore

9cfdeeac83000b156fe48f068b4658edaf51c8de

[ "MIT" ]

2

2021-03-25T14:49:56.000Z

2021-11-17T23:20:29.000Z

# @uvicore.service() # class Routes(RoutesInterface, Generic[R]): # endpoints: str = None # @property # def app(self) -> ApplicationInterface: # return self._app # @property # def package(self) -> PackageInterface: # return self._package # @property # def Router(self) -> R: # return self._Router # @property # def prefix(self) -> str: # return self._prefix # def __init__(self, # app: ApplicationInterface, # package: PackageInterface, # Router: R, # prefix: str # ): # self._app = app # self._package = package # self._Router = Router # self._prefix = prefix # def new_router(self): # router = self.Router() # # Add route context into Router # router.uvicore = Dict({ # 'prefix': self.prefix, # 'endpoints': self.endpoints, # }) # return router # def include(self, module, *, prefix: str = '', tags: List[str] = None) -> None: # #self.http.controller(controller.route, prefix=self.prefix) # if type(module) == str: # # Using a string to point to an endpoint class controller # controller = load(self.endpoints + '.' + module + '.route') # uvicore.app.http.include_router( # controller.object, # prefix=self.prefix + str(prefix), # tags=tags, # ) # else: # # Passing in an actual router class # uvicore.app.http.include_router( # module, # prefix=self.prefix + str(prefix), # tags=tags, # ) # # def Router(self) -> R: # # return self._Router() # # IoC Class Instance # #Routes: RoutesInterface = uvicore.ioc.make('Routes', _Routes) # # Public API for import * and doc gens # #__all__ = ['Routes', '_Routes']

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a1b77cdc1daef2b3d3ed0cc366bb55bdefa74e68

1,670

py

Python

hard-gists/7880c101557297beeccda05978aeb278/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

21

2019-07-08T08:26:45.000Z

2022-01-24T23:53:25.000Z

hard-gists/7880c101557297beeccda05978aeb278/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

5

2019-06-15T14:47:47.000Z

2022-02-26T05:02:56.000Z

hard-gists/7880c101557297beeccda05978aeb278/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

17

2019-05-16T03:50:34.000Z

2021-01-14T14:35:12.000Z

# Example of use of Afanasy's API to generate a summary of the state of the # render farm. # Copyright (c) 2016 rise|fx (Elie Michel) - Released under MIT License import af cmd = af.Cmd() def isSysJob(job): return job['st'] == 0 ## Jobs ## joblist = cmd.getJobList() job_state_counters = {} job_count = 0 for job in joblist: if isSysJob(job): continue job_count += 1 for s in job['state'].split(): job_state_counters[s] = job_state_counters.get(s, 0) + 1 print("Out of %d jobs:" % job_count) print(" * %d are running" % job_state_counters.get('RUN', 0)) print(" * %d have error" % job_state_counters.get('ERR', 0)) print(" * %d are skipped" % job_state_counters.get('SKP', 0)) print(" * %d are off" % job_state_counters.get('OFF', 0)) print(" * %d are ready" % job_state_counters.get('RDY', 0)) print(" * %d are done" % job_state_counters.get('DON', 0)) # Note that the sum may exceed the total number of jobs because a job can have # several states print("") ## Renders ## renderlist = cmd.renderGetList() render_state_counts = {} for render in renderlist: for s in render['state'].split(): render_state_counts[s] = render_state_counts.get(s, 0) + 1 print("Out of %d renders:" % len(renderlist)) print(" * %d are online" % render_state_counts.get('ONL', 0)) print(" * %d are offline" % render_state_counts.get('OFF', 0)) print(" * %d are nimby" % render_state_counts.get('NBY', 0)) print(" * %d are running" % render_state_counts.get('RUN', 0)) print(" * %d are dirty" % render_state_counts.get('DRT', 0)) # Note that the sum may exceed the total number of renders because a render can # have several states

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null

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2

a1be04a80f83b1938545b09a34c0a9a1cda47ace

1,285

py

Python

server/newsWebsite/models.py

thiagobrez/newsWebsite

130f01d29dd776eaa096080982274bb27d19ad8f

[ "MIT" ]

null

server/newsWebsite/models.py

thiagobrez/newsWebsite

130f01d29dd776eaa096080982274bb27d19ad8f

[ "MIT" ]

7

2020-09-07T18:44:00.000Z

2022-02-10T19:05:41.000Z

server/newsWebsite/models.py

thiagobrez/newsWebsite

130f01d29dd776eaa096080982274bb27d19ad8f

[ "MIT" ]

null

from django.db import models def picture_upload_path(instance, filename): # file will be saved at <MEDIA_ROOT>/authorPictures/<filename> return 'authorPictures/{0}'.format(filename) def hero_upload_path(instance, filename): # file will be saved at <MEDIA_ROOT>/heroImages/<filename> return 'heroImages/{0}'.format(filename) class Subject(models.Model): name = models.CharField(max_length=200) color = models.CharField(max_length=10) def __str__(self): return self.name class Author(models.Model): name = models.CharField(max_length=200, unique=True) picture = models.ImageField(upload_to=picture_upload_path, default='authorPictures/default_author.png') def __str__(self): return self.name class Article(models.Model): title = models.CharField(max_length=200) slug = models.SlugField(max_length=500) author = models.ForeignKey(Author, on_delete=models.CASCADE) subject = models.ForeignKey(Subject, on_delete=models.CASCADE) heroImage = models.ImageField(upload_to=hero_upload_path, blank=True, max_length=500, default='heroImages/default_article.png') publishDate = models.DateTimeField('Publish date') text = models.TextField(blank=True) def __str__(self): return self.title

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null

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2

a1c2d77e61f6bdb0c438878369cd53216104adca

365

py

Python

Mundo2/lerSexo.py

DanieleMagalhaes/Exercicios-Python

394c68e8f06a10ec16539addd888960d11d1318f

[ "MIT" ]

null

Mundo2/lerSexo.py

DanieleMagalhaes/Exercicios-Python

394c68e8f06a10ec16539addd888960d11d1318f

[ "MIT" ]

null

Mundo2/lerSexo.py

DanieleMagalhaes/Exercicios-Python

394c68e8f06a10ec16539addd888960d11d1318f

[ "MIT" ]

null

print('-'*60) print('\33[35m[ F ] Feminino\33[m \n\33[32m[ M ] Masculino\33[m \n ') sexo = str(input('Qual o seu sexo? ')).strip().upper()[0] # só pega a primeira letra while sexo not in 'MF': sexo = str(input('\33[31mDados inválidos.\33[m Por favor, informe seu sexo: ')).strip().upper()[0] print('\nSexo {} registrado com sucesso!'.format(sexo)) print('-'*60)

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a1c9ea67f9a8ebf42ecee72115e10b2677436a17

216

py

Python

awesimsoss/__init__.py

spacetelescope/AWESim_SOSS

75669276bd8ce22bc86d6845c771964ffec94d07

[ "MIT" ]

4

2019-12-17T19:04:25.000Z

2020-09-22T15:53:09.000Z

awesimsoss/__init__.py

spacetelescope/awesimsoss

75669276bd8ce22bc86d6845c771964ffec94d07

[ "MIT" ]

94

2018-10-17T18:03:57.000Z

2021-03-01T07:34:21.000Z

awesimsoss/__init__.py

spacetelescope/awesimsoss

75669276bd8ce22bc86d6845c771964ffec94d07

[ "MIT" ]

8

2018-10-17T20:45:49.000Z

2021-04-14T11:41:41.000Z

# -*- coding: utf-8 -*- """Top-level package for awesimsoss.""" __author__ = """Joe Filippazzo""" __email__ = 'jfilippazzo@stsci.edu' __version__ = '0.3.5' from .awesim import TSO, TestTSO, BlackbodyTSO, ModelTSO

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null

0

1

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null

0

2

a1cbe0620d09eccc4613b82d60775050479f1c1b

6,565

py

Python

keyboards/inline/in_processing/keyboards_sum_ready.py

itcosplay/cryptobot

6890cfde64a631bf0e4db55f6873a2217212d801

[ "MIT" ]

null

keyboards/inline/in_processing/keyboards_sum_ready.py

itcosplay/cryptobot

6890cfde64a631bf0e4db55f6873a2217212d801

[ "MIT" ]

null

keyboards/inline/in_processing/keyboards_sum_ready.py

itcosplay/cryptobot

6890cfde64a631bf0e4db55f6873a2217212d801

[ "MIT" ]

null

from data import all_emoji from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton from aiogram.utils.callback_data import CallbackData from data import all_emoji from utils.googlesheets import send_to_google from utils.set_minus_and_plus_currences import set_minus_and_plus from utils.get_minuses_sum_FGH import get_minus_FGH from utils.get_values_FGH_MNO import get_plus_FGH cb_what_sum = CallbackData('cb_ws', 'type_btn') def create_kb_what_sum(): keyboard = InlineKeyboardMarkup() keyboard.add ( InlineKeyboardButton ( text = 'скорректировать', callback_data = cb_what_sum.new(type_btn='correct_sum') ) ) keyboard.add ( InlineKeyboardButton ( text = 'подтвердить', callback_data = cb_what_sum.new(type_btn='confirm_sum') ) ) keyboard.add ( InlineKeyboardButton ( text = 'вернуться к заявке', callback_data = cb_what_sum.new(type_btn='back_to_chosen_request') ) ) back__main_menu = all_emoji['back__main_menu'] keyboard.add ( InlineKeyboardButton ( text=f'назад {back__main_menu} главное меню', callback_data=cb_what_sum.new ( type_btn='back_main_menu' ) ) ) return keyboard cb_choose_currency = CallbackData('anprix', 'curr', 'type_btn') def create_kb_choose_currency_processing(request): emo_snail = all_emoji['back__main_menu'] # добавляет плюсы и оставляет минусы если операция - обмен if request[3] == 'обмен': if not request[5] == '0': rub = request[5] rub = str(rub) if rub[0] != '-': rub = '+' + rub + ' ₽' else: rub = rub + ' ₽' else: rub = '' if not request[6] == '0': usd = request[6] usd = str(usd) if usd[0] != '-': usd = '+' + usd + ' $' else: usd = usd + ' $' else: usd = '' if not request[7] == '0': eur = request[7] eur = str(eur) if eur[0] != '-': eur = '+' + eur + ' €' else: eur = eur + ' €' else: eur = '' else: if not request[5] == '0': rub = request[5] rub = str(rub) if rub[0] == '-': rub = rub[1:] + ' ₽' else: rub = rub + ' ₽' else: rub = '' if not request[6] == '0': usd = request[6] usd = str(usd) if usd[0] == '-': usd = usd[1:] + ' $' else: usd = usd + ' $' else: usd = '' if not request[7] == '0': eur = request[7] eur = str(eur) if eur[0] == '-': eur = eur[1:] + ' €' else: eur = eur + ' €' else: eur = '' keyboard = InlineKeyboardMarkup() if not request[5] == '0': keyboard.add ( InlineKeyboardButton ( text = '{}'.format(rub), callback_data = cb_choose_currency.new(curr='rub', type_btn='change_curr') ) ) if not request[6] == '0': keyboard.add ( InlineKeyboardButton ( text = '{}'.format(usd), callback_data = cb_choose_currency.new(curr='usd', type_btn='change_curr') ) ) if not request[7] == '0': keyboard.add ( InlineKeyboardButton ( text = '{}'.format(eur), callback_data = cb_choose_currency.new(curr='eur', type_btn='change_curr') ) ) keyboard.add ( InlineKeyboardButton ( text=f'назад {emo_snail} главное меню', callback_data=cb_choose_currency.new ( curr='-', type_btn='back_main_menu' ) ) ) return keyboard cb_what_sum_correct = CallbackData('cbwsc', 'curr', 'type_btn') def create_kb_what_sum_correct(request): keyboard = InlineKeyboardMarkup() rub, usd, eur = get_minus_FGH(request) if rub != '': keyboard.add ( InlineKeyboardButton ( text=rub, callback_data = cb_what_sum_correct.new ( curr='rub', type_btn='change_curr' ) ) ) if usd != '': keyboard.add ( InlineKeyboardButton ( text=usd, callback_data = cb_what_sum_correct.new ( curr='usd', type_btn='change_curr' ) ) ) if eur != '': keyboard.add ( InlineKeyboardButton ( text=eur, callback_data = cb_what_sum_correct.new ( curr='eur', type_btn='change_curr' ) ) ) emo_snail = all_emoji['back__main_menu'] keyboard.add ( InlineKeyboardButton ( text=f'назад {emo_snail} главное меню', callback_data=cb_what_sum_correct.new ( curr='-', type_btn='back_main_menu' ) ) ) return keyboard cb_sum_correct_chunk = CallbackData('cbscc', 'curr', 'type_btn') def create_kb_sum_correct_chunk(request): keyboard = InlineKeyboardMarkup() rub, usd, eur = get_plus_FGH(request) if rub != '': keyboard.add ( InlineKeyboardButton ( text=rub, callback_data = cb_sum_correct_chunk.new ( curr='rub', type_btn='change_curr' ) ) ) if usd != '': keyboard.add ( InlineKeyboardButton ( text=usd, callback_data = cb_sum_correct_chunk.new ( curr='usd', type_btn='change_curr' ) ) ) if eur != '': keyboard.add ( InlineKeyboardButton ( text=eur, callback_data = cb_sum_correct_chunk.new ( curr='eur', type_btn='change_curr' ) ) ) emo_snail = all_emoji['back__main_menu'] keyboard.add ( InlineKeyboardButton ( text=f'назад {emo_snail} главное меню', callback_data=cb_sum_correct_chunk.new ( curr='-', type_btn='back_main_menu' ) ) ) return keyboard

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