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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d364bdbd28d8ed858b03da345dde950627f0fb0c | 217 | py | Python | Cursoemvideo/Aulas/aula11b.py | gentildf/Python | bb333e55b197492eac1294619ca7b13ef57bb631 | [
"MIT"
] | 1 | 2021-03-16T13:07:29.000Z | 2021-03-16T13:07:29.000Z | Cursoemvideo/Aulas/aula11b.py | gentildf/Python | bb333e55b197492eac1294619ca7b13ef57bb631 | [
"MIT"
] | null | null | null | Cursoemvideo/Aulas/aula11b.py | gentildf/Python | bb333e55b197492eac1294619ca7b13ef57bb631 | [
"MIT"
] | null | null | null | print('\033[31mOl mundo!\033[m')
print('\033[33mMeu nome \033[32mDnis Fernando\033[m')
print('\033[4mEsse texto um texto sublinhado\033[m.')
print('\033[7;30mEsse texto est escrito com cores ao inverso.\033[m') | 54.25 | 70 | 0.732719 | print('\033[31mOlá mundo!\033[m')
print('\033[33mMeu nome é \033[32mDênis Fernando\033[m')
print('\033[4mEsse texto é um texto sublinhado\033[m.')
print('\033[7;30mEsse texto está escrito com cores ao inverso.\033[m') | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bf0f9e7b2d6f65011c8843e7df4bdc920221bcf2 | 3,117 | py | Python | app/models/models.py | andela-pijege/docman | 347535a819160e885380761adbe6f45924ef05de | [
"MIT"
] | 1 | 2021-08-28T23:30:27.000Z | 2021-08-28T23:30:27.000Z | app/models/models.py | andela-pijege/docman | 347535a819160e885380761adbe6f45924ef05de | [
"MIT"
] | null | null | null | app/models/models.py | andela-pijege/docman | 347535a819160e885380761adbe6f45924ef05de | [
"MIT"
] | 2 | 2020-09-03T20:31:11.000Z | 2021-03-29T11:52:06.000Z | from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
| 31.484848 | 104 | 0.651588 | from flask import current_app
from datetime import datetime
from werkzeug.security import check_password_hash, generate_password_hash
from itsdangerous import (TimedJSONWebSignatureSerializer as Serializer, BadSignature, SignatureExpired)
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class CRUDMixin(obje... | 0 | 0 | 0 | 2,722 | 0 | 0 | 0 | 151 | 180 |
09a303228ef3e3085e3bf1a179aa2a5e9ed50c5d | 678 | py | Python | BOJ/review/boj_14889.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/review/boj_14889.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | BOJ/review/boj_14889.py | mrbartrns/swacademy_structure | 778f0546030385237c383d81ec37d5bd9ed1272d | [
"MIT"
] | null | null | null | # BOJ 14889
import sys
from itertools import combinations
si = sys.stdin.readline
n = int(si())
graph = [list(map(int, si().split())) for _ in range(n)]
people = [i for i in range(n)]
# .
team = list(combinations(people, n // 2))
size = len(team)
start = team[: size // 2]
link = list(reversed(team[size // 2 :]... | 18.324324 | 56 | 0.585546 | # BOJ 14889
import sys
from itertools import combinations
si = sys.stdin.readline
def psum(team):
s = 0
for i in team:
for j in team:
s += graph[i][j]
return s
n = int(si())
graph = [list(map(int, si().split())) for _ in range(n)]
people = [i for i in range(n)]
# 모든 반으로 쪼갠 경우에 대해서 고... | 51 | 0 | 0 | 0 | 0 | 88 | 0 | 0 | 23 |
3c6c1db3f93f9ec578ba8acdc64c5593fb0d5456 | 1,242 | py | Python | Machine Learning/Daten verarbeiten/Daten komprimieren.py | stanman71/Python | fe442e421362b22f61d05235e835a568d9ce3aef | [
"MIT"
] | 1 | 2019-02-18T18:56:07.000Z | 2019-02-18T18:56:07.000Z | Machine Learning/Daten verarbeiten/Daten komprimieren.py | stanman71/Python | fe442e421362b22f61d05235e835a568d9ce3aef | [
"MIT"
] | null | null | null | Machine Learning/Daten verarbeiten/Daten komprimieren.py | stanman71/Python | fe442e421362b22f61d05235e835a568d9ce3aef | [
"MIT"
] | null | null | null |
""" Mglichkeit um Daten zu komprieren und den Informationsverlust abzuschtzen """
## ##########################
## Teil 0: Einlesen der Daten
## ##########################
import pandas as pd
train = pd.read_csv("./Python_Training/Machine Learning/Daten verarbeiten/CSV/train.csv.bz2")
test = pd.read_... | 26.425532 | 94 | 0.600644 |
""" Möglichkeit um Daten zu komprieren und den Informationsverlust abzuschätzen """
## ##########################
## Teil 0: Einlesen der Daten
## ##########################
import pandas as pd
train = pd.read_csv("./Python_Training/Machine Learning/Daten verarbeiten/CSV/train.csv.bz2")
test = pd.rea... | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 25 |
a8ab576bfa3326952b85ca3f968b9318097b134e | 632 | py | Python | {{ cookiecutter.project_slug }}/tests/test_{{ cookiecutter.project_slug }}.py | John15321/cookiecutter-poetic-python | 0e916f34c15801be2222061e3a690691294da4f5 | [
"MIT"
] | null | null | null | {{ cookiecutter.project_slug }}/tests/test_{{ cookiecutter.project_slug }}.py | John15321/cookiecutter-poetic-python | 0e916f34c15801be2222061e3a690691294da4f5 | [
"MIT"
] | 7 | 2022-02-22T16:18:02.000Z | 2022-03-02T18:10:42.000Z | {{ cookiecutter.project_slug }}/tests/test_{{ cookiecutter.project_slug }}.py | John15321/cookiecutter-poetic-python | 0e916f34c15801be2222061e3a690691294da4f5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Basic tests on the package."""
import toml
from {{ cookiecutter.project_slug }} import __version__
def get_version() -> str:
"""Get version of the package from the ``pyproject.toml`` file.
Returns:
--------
Pcakge version.
"""
root_project_directory = "../"
... | 25.28 | 81 | 0.642405 | # -*- coding: utf-8 -*-
"""Basic tests on the package."""
import toml
from {{ cookiecutter.project_slug }} import __version__
def get_version() -> str:
"""Get version of the package from the ``pyproject.toml`` file.
Returns:
--------
Pcakge version.
"""
root_project_directory = "../"
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
64c61e9a0cabb427ceb64fe03a881ccd91839667 | 1,210 | py | Python | lab6/createDataset.py | mazarbaloch/UEF-AILab-2021 | 6bec5c1a9625c5ab6e91cdc29e2a51b1dcb872f2 | [
"CC0-1.0"
] | 3 | 2021-09-12T03:43:53.000Z | 2021-09-27T09:47:36.000Z | lab6/createDataset.py | mazarbaloch/UEF-AILab-2021 | 6bec5c1a9625c5ab6e91cdc29e2a51b1dcb872f2 | [
"CC0-1.0"
] | null | null | null | lab6/createDataset.py | mazarbaloch/UEF-AILab-2021 | 6bec5c1a9625c5ab6e91cdc29e2a51b1dcb872f2 | [
"CC0-1.0"
] | null | null | null | import pathlib
#Path to the directory where the original dataset was uncompressed
original_dir = pathlib.Path("../data/dogs-vs-cats/train")
#Directory where we will store our smaller dataset
new_base_dir = pathlib.Path("../data/cats_vs_dogs_small")
#A function to copy cat and dog images from index start_index to
#in... | 44.814815 | 83 | 0.744628 | import os, shutil, pathlib
#Path to the directory where the original dataset was uncompressed
original_dir = pathlib.Path("../data/dogs-vs-cats/train")
#Directory where we will store our smaller dataset
new_base_dir = pathlib.Path("../data/cats_vs_dogs_small")
#A function to copy cat and dog images from index start_... | 0 | 0 | 0 | 0 | 0 | 325 | 0 | 12 | 22 |
33ebdea098a95c76e2a116fbb8ab373784366bc7 | 234 | py | Python | day10/matrix1.py | nikhilsamninan/python-files | 15198459081097058a939b40b5e8ef754e578fe0 | [
"Apache-2.0"
] | null | null | null | day10/matrix1.py | nikhilsamninan/python-files | 15198459081097058a939b40b5e8ef754e578fe0 | [
"Apache-2.0"
] | null | null | null | day10/matrix1.py | nikhilsamninan/python-files | 15198459081097058a939b40b5e8ef754e578fe0 | [
"Apache-2.0"
] | null | null | null | matrix = [[1,2,3],[4,5,6],[7,8,9]]
tran_matrix=[[0,0,0],[0,0,0],[0,0,0]]
for i in range(len(matrix)):
for j in range(len(matrix[0])):
tran_matrix[j][i] = matrix[i][j]
for r in tran_matrix:
print(r)
# print(tran_matrix) | 29.25 | 40 | 0.581197 | matrix = [[1,2,3],[4,5,6],[7,8,9]]
tran_matrix=[[0,0,0],[0,0,0],[0,0,0]]
for i in range(len(matrix)):
for j in range(len(matrix[0])):
tran_matrix[j][i] = matrix[i][j]
for r in tran_matrix:
print(r)
# print(tran_matrix) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c924d9c26d48569acbe74cdfc0eeb09896586afd | 315 | py | Python | minimi_quadrati/es/ese9.py | luigi-borriello00/Metodi_SIUMerici | cf1407c0ad432a49a96dcd08303213e48723c57a | [
"MIT"
] | 4 | 2021-06-23T14:47:46.000Z | 2021-07-07T08:39:27.000Z | minimi_quadrati/es/ese9.py | luigi-borriello00/Metodi_SIUMerici | cf1407c0ad432a49a96dcd08303213e48723c57a | [
"MIT"
] | null | null | null | minimi_quadrati/es/ese9.py | luigi-borriello00/Metodi_SIUMerici | cf1407c0ad432a49a96dcd08303213e48723c57a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
ese9
"""
import numpy as np
import math
f= lambda x: np.sin(2*math.pi*x)
x=np.linspace(-1,1,22)
y1=f(x);
y2=y1.copy()
y2=y2+0.0002*np.random.randn(22,)
| 17.5 | 56 | 0.673016 | # -*- coding: utf-8 -*-
"""
ese9
"""
import numpy as np
import numpy.linalg as npl
from funzioni_Interpolazione_Polinomiale import InterpL
import math
import matplotlib.pyplot as plt
f= lambda x: np.sin(2*math.pi*x)
x=np.linspace(-1,1,22)
y1=f(x);
y2=y1.copy()
y2=y2+0.0002*np.random.randn(22,)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 69 |
771f183ec2c7d2a982fbb28a83b2b88709a1c068 | 1,523 | py | Python | cli/app/blender/operators/fileio.py | breezykermo/vframe_synthetic | 33c8d30aa22c7252f7c6af1d3ef12840fb0eb443 | [
"MIT"
] | null | null | null | cli/app/blender/operators/fileio.py | breezykermo/vframe_synthetic | 33c8d30aa22c7252f7c6af1d3ef12840fb0eb443 | [
"MIT"
] | null | null | null | cli/app/blender/operators/fileio.py | breezykermo/vframe_synthetic | 33c8d30aa22c7252f7c6af1d3ef12840fb0eb443 | [
"MIT"
] | null | null | null | import sys
import importlib
sys.path.append('/work/vframe_synthetic/vframe_synthetic')
from app.utils import log_utils
# reload application python modules
importlib.reload(log_utils)
# shortcuts
log = log_utils.Logger.getLogger()
# ---------------------------------------------------------------------------
# Mange ... | 26.258621 | 77 | 0.650689 | import sys
from os.path import join
from pathlib import Path
import importlib
import math
import random
import pandas as pd
import bpy
sys.path.append('/work/vframe_synthetic/vframe_synthetic')
from app.utils import log_utils
from app.settings import app_cfg
# reload application python modules
importlib.reload(log_u... | 0 | 0 | 0 | 942 | 0 | 0 | 0 | -14 | 179 |
17e287f3a8b363524628516f10246225f5c3d27f | 10,202 | py | Python | devito/passes/iet/linearization.py | reguly/devito | 543b7be41ddbf1faa90224cca3824767756c9390 | [
"MIT"
] | 1 | 2022-01-25T02:20:52.000Z | 2022-01-25T02:20:52.000Z | devito/passes/iet/linearization.py | reguly/devito | 543b7be41ddbf1faa90224cca3824767756c9390 | [
"MIT"
] | null | null | null | devito/passes/iet/linearization.py | reguly/devito | 543b7be41ddbf1faa90224cca3824767756c9390 | [
"MIT"
] | null | null | null | from collections import defaultdict
import numpy as np
from devito.ir import (BlankLine, Call, DummyExpr, Dereference, Expression, PointerCast, FindNodes, FindSymbols, Transformer)
from devito.symbolics import (retrieve_indexed, uxreplace)
from devito.tools import Bunch, DefaultOrderedDict, filter_ordered, flatten, pr... | 34.819113 | 89 | 0.617624 | from collections import defaultdict
from functools import singledispatch
import numpy as np
from devito.data import FULL
from devito.ir import (BlankLine, Call, DummyExpr, Dereference, Expression, List,
PointerCast, PragmaTransfer, FindNodes, FindSymbols,
Transformer)
fro... | 0 | 1,762 | 0 | 0 | 0 | 2,058 | 0 | 262 | 272 |
320c219504fcbadfde59dc059e9aa04e9e3fba8e | 8,567 | py | Python | Stack-PointerNetworks-KoreanDep.Parsing_with_chunking-/neuronlp2/nn/_functions/variational_rnn.py | kmounlp/Chunk | 1a9d6ce94a275a0fcfadf94dc161c4e69776eeee | [
"MIT"
] | 9 | 2019-09-03T11:03:45.000Z | 2021-09-19T05:38:25.000Z | Stack-PointerNetworks-KoreanDep.Parsing_with_chunking-/neuronlp2/nn/_functions/variational_rnn.py | kmounlp/Chunk | 1a9d6ce94a275a0fcfadf94dc161c4e69776eeee | [
"MIT"
] | 1 | 2019-11-04T21:02:01.000Z | 2019-11-12T10:03:41.000Z | DLR/neuronlp2/nn/_functions/variational_rnn.py | rizwan09/SBCR | 3354cb9b2a95a16c8b8950667d44fa2881400048 | [
"Apache-2.0"
] | 1 | 2020-09-30T12:24:22.000Z | 2020-09-30T12:24:22.000Z | __author__ = 'max'
| 32.086142 | 113 | 0.595658 | __author__ = 'max'
import torch
from torch.nn._functions.thnn import rnnFusedPointwise as fusedBackend
from torch.nn import functional as F
def VarRNNReLUCell(input, hidden, w_ih, w_hh, b_ih=None, b_hh=None, noise_in=None, noise_hidden=None):
if noise_in is not None:
input = input * noise_in
if noise... | 0 | 0 | 0 | 0 | 0 | 8,138 | 0 | 55 | 343 |
0d9890491297d9b06d1bef90b9898ace65aed426 | 7,393 | py | Python | sdk/python/pulumi_linode/image.py | Charliekenney23/pulumi-linode | 523c58758c8f5b78219c670ba1aad6c6fd46c07a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_linode/image.py | Charliekenney23/pulumi-linode | 523c58758c8f5b78219c670ba1aad6c6fd46c07a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_linode/image.py | Charliekenney23/pulumi-linode | 523c58758c8f5b78219c670ba1aad6c6fd46c07a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import pulumi
| 48.320261 | 255 | 0.659949 | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from . import utilities, tables
class Image(p... | 0 | 1,817 | 0 | 5,246 | 0 | 0 | 0 | -3 | 134 |
52f1f715c6dffa62cc558dea8769854f1e7eab3a | 868 | py | Python | medium/dummy.py | mariuszlitwin/roark | 85cd394544a89c61069890c3d6b011372f5c174b | [
"Apache-2.0"
] | 1 | 2016-11-17T00:44:06.000Z | 2016-11-17T00:44:06.000Z | medium/dummy.py | mariuszlitwin/roark | 85cd394544a89c61069890c3d6b011372f5c174b | [
"Apache-2.0"
] | null | null | null | medium/dummy.py | mariuszlitwin/roark | 85cd394544a89c61069890c3d6b011372f5c174b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# -*- encoding: UTF-8 -*-
| 29.931034 | 133 | 0.62788 | #!/usr/bin/python3
# -*- encoding: UTF-8 -*-
import time
import hashlib
import oth.roark.exceptions
class dummy:
roark_status = dict()
bot_list = dict()
api_key = None;
def check_access(self, received_access_token):
if self.api_key:
m = hashlib.md5()
m.update(self.ap... | 0 | 0 | 0 | 742 | 0 | 0 | 0 | -11 | 92 |
11ba8c3faddc663af94a52bdeb0eb3a45d60f911 | 330 | py | Python | gestaoemp/lib/python3.6/site-packages/pysignfe/corr_unicode.py | jasonrosa92/gestaoempresa | c942c7cb5ff3bd299da94df11eab49b7dd0c7d71 | [
"MIT"
] | null | null | null | gestaoemp/lib/python3.6/site-packages/pysignfe/corr_unicode.py | jasonrosa92/gestaoempresa | c942c7cb5ff3bd299da94df11eab49b7dd0c7d71 | [
"MIT"
] | null | null | null | gestaoemp/lib/python3.6/site-packages/pysignfe/corr_unicode.py | jasonrosa92/gestaoempresa | c942c7cb5ff3bd299da94df11eab49b7dd0c7d71 | [
"MIT"
] | 1 | 2020-11-04T08:45:57.000Z | 2020-11-04T08:45:57.000Z | # -*- coding: utf-8 -*-
try:
unicode = unicode
except NameError:
# Se 'unicode', utilizando versao Python 3
str = str
unicode = str
bytes = bytes
basestring = (str,bytes)
else:
# 'unicode' esta definido, deve ser Python 2
str = str
unicode = unicode
bytes = str
basestring = ... | 20.625 | 48 | 0.615152 | # -*- coding: utf-8 -*-
try:
unicode = unicode
except NameError:
# Se 'unicode', utilizando versao Python 3
str = str
unicode = str
bytes = bytes
basestring = (str,bytes)
else:
# 'unicode' esta definido, deve ser Python 2
str = str
unicode = unicode
bytes = str
basestring = ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5a000f4edb0fa8051c5ce1ab6c4368bc5e8f4e01 | 2,390 | py | Python | Round 3/datacenter-duplex.py | enigma-pattern/GoogleCodeJam-2019 | 558c57209a90319d31da13a58f8da60ca56d9f0a | [
"MIT"
] | 54 | 2019-04-07T06:19:19.000Z | 2022-01-19T10:58:00.000Z | Round 3/datacenter-duplex.py | Escapist-007/GoogleCodeJam-2019 | bfa4f2a9585c710f3bbc176b9f8aa4d2ee0a4ce4 | [
"MIT"
] | 1 | 2019-06-02T18:20:30.000Z | 2019-06-02T18:40:32.000Z | Round 3/datacenter-duplex.py | Escapist-007/GoogleCodeJam-2019 | bfa4f2a9585c710f3bbc176b9f8aa4d2ee0a4ce4 | [
"MIT"
] | 21 | 2019-04-10T04:32:03.000Z | 2021-07-22T22:38:53.000Z | # Copyright (c) 2019 kamyu. All rights reserved.
#
# Google Code Jam 2019 Round 3 - Problem C. Datacenter Duplex
# https://codingcompetitions.withgoogle.com/codejam/round/0000000000051707/0000000000158f1c
#
# Time: O(R * C)
# Space: O(R * C)
#
for case in xrange(input()):
print 'Case #%d: %s' % (case+1, datacente... | 34.142857 | 98 | 0.524268 | # Copyright (c) 2019 kamyu. All rights reserved.
#
# Google Code Jam 2019 Round 3 - Problem C. Datacenter Duplex
# https://codingcompetitions.withgoogle.com/codejam/round/0000000000051707/0000000000158f1c
#
# Time: O(R * C)
# Space: O(R * C)
#
class UnionFind(object):
def __init__(self, n):
self.set = ran... | 0 | 0 | 0 | 455 | 0 | 1,534 | 0 | 0 | 69 |
093748985dc52b09a01ab950865100fc85012db0 | 5,057 | py | Python | tilda/.config/i3/i3-autoname-workspaces.py | fatty-arbuckle/dotty | 9143b09248c4331916162776e16f47612928a578 | [
"MIT"
] | null | null | null | tilda/.config/i3/i3-autoname-workspaces.py | fatty-arbuckle/dotty | 9143b09248c4331916162776e16f47612928a578 | [
"MIT"
] | null | null | null | tilda/.config/i3/i3-autoname-workspaces.py | fatty-arbuckle/dotty | 9143b09248c4331916162776e16f47612928a578 | [
"MIT"
] | null | null | null |
# This script listens for i3 events and updates workspace names to show icons
# for running programs. It contains icons for a few programs, but more can
# easily be added by inserting them into WINDOW_ICONS below.
#
# Dependencies
# * xorg-xprop - install through system package manager
# * i3ipc - install with pip or... | 31.216049 | 94 | 0.684596 |
# This script listens for i3 events and updates workspace names to show icons
# for running programs. It contains icons for a few programs, but more can
# easily be added by inserting them into WINDOW_ICONS below.
#
# Dependencies
# * xorg-xprop - install through system package manager
# * i3ipc - install with pip or... | 0 | 0 | 0 | 0 | 0 | 1,496 | 0 | -19 | 200 |
f36d4c5cd6ee5078af056f412b5f2d885d2f4c2b | 806 | py | Python | CursoEmVideo/pythonProject/ex036.py | cassio645/Aprendendo-python | 17a8b5a0e7abc3342d24841ed28093db13d2c130 | [
"MIT"
] | null | null | null | CursoEmVideo/pythonProject/ex036.py | cassio645/Aprendendo-python | 17a8b5a0e7abc3342d24841ed28093db13d2c130 | [
"MIT"
] | null | null | null | CursoEmVideo/pythonProject/ex036.py | cassio645/Aprendendo-python | 17a8b5a0e7abc3342d24841ed28093db13d2c130 | [
"MIT"
] | null | null | null | #aprovando emprestimo
from time import sleep
cores = {'limpar': '\033[m',
'verde': '\033[32m',
'vermelho': '\033[31m',
'pretob': '\033[7;30m'
}
casa = float(input('Qual o valor da casa? R$ '))
salario = float(input('Qual valor do seu salrio? R$ '))
anos = int(input('Em quantos anos ... | 33.583333 | 77 | 0.645161 | #aprovando emprestimo
from time import sleep
cores = {'limpar': '\033[m',
'verde': '\033[32m',
'vermelho': '\033[31m',
'pretob': '\033[7;30m'
}
casa = float(input('Qual o valor da casa? R$ '))
salario = float(input('Qual valor do seu salário? R$ '))
anos = int(input('Em quantos anos... | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1aa5a076002ca89929cc576a8abdd3d94bdeb617 | 798 | py | Python | leet/dynamic/coinChange.py | monishshah18/python-cp-cheatsheet | a5514b08816959de1198156f7764c54a7a585f20 | [
"Apache-2.0"
] | 140 | 2020-10-21T13:23:52.000Z | 2022-03-31T15:09:45.000Z | leet/dynamic/coinChange.py | stacykutyepov/python-cp-cheatsheet | a00a57e1b36433648d1cace331e15ff276cef189 | [
"Apache-2.0"
] | 1 | 2021-07-22T14:01:25.000Z | 2021-07-22T14:01:25.000Z | leet/dynamic/coinChange.py | stacykutyepov/python-cp-cheatsheet | a00a57e1b36433648d1cace331e15ff276cef189 | [
"Apache-2.0"
] | 33 | 2020-10-21T14:17:02.000Z | 2022-03-25T11:25:03.000Z | """
sort coins
11, greatest to least (Greedy)
11 - 5
6 - 5
1 - 2
1 - 1
1,3,4 (Greedy)
4, 1, 1 = 6
(Optimal)
3, 3 = 6
1,3,4
6 = b(5) + 1
6 = b(3) + 3
0 1 2 3 4 5 6 7 8 9 10 11 a: amount
1 3 4 c: coins
0 1 2 1 1 2 2 dp
# if total can be reached
if c == amount:
dp[a] = 1
#... | 18.136364 | 63 | 0.487469 | """
sort coins
11, greatest to least (Greedy)
11 - 5
6 - 5
1 - 2
1 - 1
1,3,4 (Greedy)
4, 1, 1 = 6
(Optimal)
3, 3 = 6
1,3,4
6 = b(5) + 1
6 = b(3) + 3
0 1 2 3 4 5 6 7 8 9 10 11 a: amount
1 3 4 c: coins
0 1 2 1 1 2 2 dp
# if total can be reached
if c == amount:
dp[a] = 1
#... | 0 | 0 | 0 | 315 | 0 | 0 | 0 | 0 | 23 |
6b597281aceaed79f3ad7e1b1aa2443600fd91e6 | 429 | py | Python | src/python/publisher.py | PC-ProgettoMIA/edge | bad4bde354e1e15f20ac02308354cb770d4d7f1d | [
"Apache-2.0"
] | null | null | null | src/python/publisher.py | PC-ProgettoMIA/edge | bad4bde354e1e15f20ac02308354cb770d4d7f1d | [
"Apache-2.0"
] | null | null | null | src/python/publisher.py | PC-ProgettoMIA/edge | bad4bde354e1e15f20ac02308354cb770d4d7f1d | [
"Apache-2.0"
] | null | null | null | import paho.mqtt.client as mqtt
import time
if __name__ == '__main__':
client = mqtt.Client("MIA")
client.connect("mqtt.localhost", 1883)
while True:
client.publish("house/mia", publishDT())
time.sleep(1)
| 22.578947 | 87 | 0.668998 | import atomic_store
import paho.mqtt.client as mqtt
import json
import time
def publishDT():
with atomic_store.open('src/resources/digital_twin.json', default=dict()) as store:
dt = store.value
return json.dumps(dt)
if __name__ == '__main__':
client = mqtt.Client("MIA")
client.connect("m... | 0 | 0 | 0 | 0 | 0 | 138 | 0 | -12 | 67 |
92228581659a3396ae63f53d0612b65652488950 | 946 | py | Python | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Reversal_Linked_List/Reversal_Linked_List.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Reversal_Linked_List/Reversal_Linked_List.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Reversal_Linked_List/Reversal_Linked_List.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | from __future__ import print_function #used for modifying how print works
#chain together the node. n3 will be head while n0 the tail
n0 = Node(4,None)
n1 = Node(3,n0)
n2 = Node(2,n1)
n3 = Node(1,n2)
head = n3 # the head of the nodes
print("Before Reverse", end=" ")
while head:
print(head.data ,end=" ")
head... | 24.25641 | 73 | 0.630021 | from __future__ import print_function #used for modifying how print works
class Node(object):
def __init__(self, data=None, next_node=None):
self.data =data
self.next_node = next_node
def reverse_iterative(self,n):
last = None
current = n
while(current is not None):
... | 0 | 0 | 0 | 380 | 0 | 0 | 0 | 0 | 23 |
027b870e5044ddce352c3a69703ab9ea2c8d0fe8 | 730 | py | Python | examples/recommendations_service/test_activity_recommendations.py | qdamian/htmlviz | 15997663c442995145f3a3f6b800d1bc371bd4d5 | [
"MIT"
] | null | null | null | examples/recommendations_service/test_activity_recommendations.py | qdamian/htmlviz | 15997663c442995145f3a3f6b800d1bc371bd4d5 | [
"MIT"
] | null | null | null | examples/recommendations_service/test_activity_recommendations.py | qdamian/htmlviz | 15997663c442995145f3a3f6b800d1bc371bd4d5 | [
"MIT"
] | null | null | null | """
A suite of functional tests for the activity recommendation service.
"""
| 29.2 | 68 | 0.734247 | """
A suite of functional tests for the activity recommendation service.
"""
import requests
def test_recommends_to_go_hiking_if_the_weather_is_sunny():
_given_weather_is('sunny')
response = requests.get('http://127.0.0.1:8080/recommendation')
response.raise_for_status()
assert response.text == 'go hi... | 0 | 0 | 0 | 0 | 0 | 565 | 0 | -6 | 91 |
cb462d5a830f5991894aba52d7358d331cf45650 | 1,419 | py | Python | quiz2/bronianprocess.py | realwaynesun/statistical-finance | 425a499acaefdeb0e45aabb31b8464ca56f9c973 | [
"MIT"
] | null | null | null | quiz2/bronianprocess.py | realwaynesun/statistical-finance | 425a499acaefdeb0e45aabb31b8464ca56f9c973 | [
"MIT"
] | null | null | null | quiz2/bronianprocess.py | realwaynesun/statistical-finance | 425a499acaefdeb0e45aabb31b8464ca56f9c973 | [
"MIT"
] | null | null | null | import scipy.stats as stats
initial = 50
time = 1/6
mu = 0.18
sigma = 0.2
value = 55
per = 0.9
e, s = dts(initial, time, mu, sigma)
E, SD = dtls(initial, time, mu, sigma)
LE, LSD = ls(initial, time, mu, sigma)
interval = conint(LE, LSD, per)
p = p(value, LE, LSD)
print("\n")
print("S gives that the mean and the standa... | 28.959184 | 104 | 0.615927 | import numpy as np
import math
from sympy import *
import scipy.stats as stats
def dts(initial, time, mu, sigma):
e=initial*exp(mu*time)
s=sigma*initial*sqrt(time)
return e, s
def dtls(initial, time, mu, sigma):
E=initial*exp(mu*time)
V=(initial**2)*exp(2*mu*time)*(exp(time*sigma**2)-1)
SD=sqr... | 0 | 0 | 0 | 0 | 0 | 505 | 0 | -15 | 181 |
0fec1aa4ec0e2fd65e4adb94526572c2e34f1a89 | 19,497 | py | Python | pixel_battle/pixel_battle/grabber.py | andreymal/stuff | 33f9c7c80efc29b29fb0e14116eb641f53e45ccc | [
"MIT"
] | 9 | 2017-12-07T21:28:07.000Z | 2020-10-11T17:29:55.000Z | pixel_battle/pixel_battle/grabber.py | andreymal/stuff | 33f9c7c80efc29b29fb0e14116eb641f53e45ccc | [
"MIT"
] | null | null | null | pixel_battle/pixel_battle/grabber.py | andreymal/stuff | 33f9c7c80efc29b29fb0e14116eb641f53e45ccc | [
"MIT"
] | 3 | 2019-10-11T10:07:05.000Z | 2020-01-27T21:05:15.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import argparse
from typing import Optional, TextIO
default_url = "https://pixel-dev.w84.vkforms.ru/api/data"
default_top_url = "https://pixel-dev.w84.vkforms.ru/api/top"
user_agent = "Mozilla/5.0; pixel_battle/0.3.4 (grabber; https://github.com/andreymal/stuf... | 35.12973 | 163 | 0.607888 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import json
import time
import argparse
import traceback
from io import BytesIO
from datetime import datetime
from urllib.request import Request, urlopen
from typing import Any, Optional, Tuple, List, Dict, TextIO
import dataclasses
from dataclasses i... | 3,184 | 1,691 | 0 | 0 | 0 | 15,190 | 0 | 25 | 429 |
2d1781726f04278b58acad2956f2d29450d4200a | 404 | py | Python | Earlyatesting2.py | SukhatankarSV/AutoNavigator | 11eb9fd6e93adc6653dd89cc0faf841864e68792 | [
"MIT"
] | null | null | null | Earlyatesting2.py | SukhatankarSV/AutoNavigator | 11eb9fd6e93adc6653dd89cc0faf841864e68792 | [
"MIT"
] | null | null | null | Earlyatesting2.py | SukhatankarSV/AutoNavigator | 11eb9fd6e93adc6653dd89cc0faf841864e68792 | [
"MIT"
] | null | null | null | from serial import Serial
import time
arduino = Serial('COM3', 9600)
time.sleep(5)
print("value1")
arduino.write(b'forward_on\n')
time.sleep(2)
print("value1")
arduino.write(b'forward_off\n')
time.sleep(2)
print("value1")
arduino.write(b'forward_off\n')
time.sleep(2)
arduino.write(b'forward_off\n')
time.s... | 21.263158 | 32 | 0.732673 | from serial import Serial
import requests
from PIL import Image
from io import BytesIO
import time
import uuid
arduino = Serial('COM3', 9600)
time.sleep(5)
print("value1")
arduino.write(b'forward_on\n')
time.sleep(2)
print("value1")
arduino.write(b'forward_off\n')
time.sleep(2)
print("value1")
arduino.wr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -15 | 92 |
5c9de1151ba6139d004514c7e389d1980978055d | 2,798 | py | Python | cgi-bin/audio.py | sugar-activities/4430-activity | 3d6b804347778ea1eba91611dd782e483860f30e | [
"MIT"
] | null | null | null | cgi-bin/audio.py | sugar-activities/4430-activity | 3d6b804347778ea1eba91611dd782e483860f30e | [
"MIT"
] | null | null | null | cgi-bin/audio.py | sugar-activities/4430-activity | 3d6b804347778ea1eba91611dd782e483860f30e | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os, sys
from subprocess import call, Popen, PIPE
import cgi, cgitb
from path import path
from sugar.datastore import datastore
html = "<li id=xxxx onclick=manageAudio('xxxx','yyyy')>"
html = html+"<p>xxxx</p></li>"
ogg_types = ['audio/ogg']
#script to insert audio clip in activity - source.tx... | 34.54321 | 87 | 0.598999 | #!/usr/bin/python
import os, sys
from subprocess import call, Popen, PIPE
import cgi, cgitb
from path import path
from sugar.datastore import datastore
html = "<li id=xxxx onclick=manageAudio('xxxx','yyyy')>"
html = html+"<p>xxxx</p></li>"
ogg_types = ['audio/ogg']
#script to insert audio clip in activity - source.tx... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11ff0858c1f1b427fedd73a555ad08d55100cadf | 692 | py | Python | demo/celery.py | StitiFatah/Django_Rest_Framework_BoilerPlate | 19e3fe41027853c0e491bdf97acb89c10c2ab0b4 | [
"MIT"
] | null | null | null | demo/celery.py | StitiFatah/Django_Rest_Framework_BoilerPlate | 19e3fe41027853c0e491bdf97acb89c10c2ab0b4 | [
"MIT"
] | null | null | null | demo/celery.py | StitiFatah/Django_Rest_Framework_BoilerPlate | 19e3fe41027853c0e491bdf97acb89c10c2ab0b4 | [
"MIT"
] | null | null | null | #from __future__ import absolute_import, unicode_literals
#import os
#from celery import Celery
# set the default Django settings module for the 'celery' program.
# os.environ.setdefault('DJANGO_SETTINGS_MODULE',
# 'django-news-aggreg.settings.base')
# app = Celery('django-news-aggreg')
# Us... | 26.615385 | 68 | 0.745665 | #from __future__ import absolute_import, unicode_literals
#import os
#from celery import Celery
# set the default Django settings module for the 'celery' program.
# os.environ.setdefault('DJANGO_SETTINGS_MODULE',
# 'django-news-aggreg.settings.base')
# app = Celery('django-news-aggreg')
# Us... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c9f494a45c0be4de80eb1b9fbf1895a4cb8109dc | 2,097 | py | Python | packages/syft/src/syft/core/tensor/smpc/utils.py | vishalbelsare/PySyft | fb04404fcfbef82fad1fb47407b35a24e9afb599 | [
"Apache-1.1"
] | 8,428 | 2017-08-10T09:17:49.000Z | 2022-03-31T08:20:14.000Z | packages/syft/src/syft/core/tensor/smpc/utils.py | Starry1024/PySyft | 6b2cb4ca3a54e8bb2e61d549bf7773aa955d7468 | [
"Apache-2.0"
] | 4,779 | 2017-08-09T23:19:00.000Z | 2022-03-29T11:49:36.000Z | packages/syft/src/syft/core/tensor/smpc/utils.py | Starry1024/PySyft | 6b2cb4ca3a54e8bb2e61d549bf7773aa955d7468 | [
"Apache-2.0"
] | 2,307 | 2017-08-10T08:52:12.000Z | 2022-03-30T05:36:07.000Z | """Utils functions that might be used into any module."""
# stdlib
from typing import Any
from typing import Dict
# third party
import numpy as np
RING_SIZE_TO_TYPE: Dict[int, np.dtype] = {
2 ** 32: np.dtype("int32"),
2: np.dtype("bool"), # Special case: need to do reconstruct and share with XOR
}
TYPE_TO_... | 23.561798 | 86 | 0.634239 | """Utils functions that might be used into any module."""
# stdlib
from functools import lru_cache
import operator
from typing import Any
from typing import Dict
from typing import Tuple
from typing import cast
# third party
import numpy as np
RING_SIZE_TO_TYPE: Dict[int, np.dtype] = {
2 ** 32: np.dtype("int32")... | 0 | 1,204 | 0 | 0 | 0 | 0 | 0 | 9 | 157 |
677fc3d4c8cbf6227daa00b887073cacdc70c189 | 3,292 | py | Python | xwing/network/connection.py | victorpoluceno/xwing | a6d2b9ddfa1bdf383cbf52d4dc81035222ebeefa | [
"ISC"
] | 12 | 2016-10-15T16:46:24.000Z | 2018-12-04T16:57:48.000Z | xwing/network/connection.py | victorpoluceno/xwing | a6d2b9ddfa1bdf383cbf52d4dc81035222ebeefa | [
"ISC"
] | 44 | 2016-04-21T21:59:37.000Z | 2016-10-22T16:16:09.000Z | xwing/network/connection.py | victorpoluceno/xwing | a6d2b9ddfa1bdf383cbf52d4dc81035222ebeefa | [
"ISC"
] | 2 | 2016-08-22T04:25:21.000Z | 2020-12-03T20:55:30.000Z | import logging
log = logging.getLogger(__name__)
EOL = b'\n'
HEARTBEAT = b'HEARTBEAT'
HEARTBEAT_SIGNAL = b'HEARTBEAT_SIGNAL'
HEARTBEAT_ACK = b'HEARTBEAT_ACK'
INITIAL_HEARBEAT_LIVENESS = 3
connection_map = {
'real': Connection,
}
| 27.663866 | 77 | 0.611482 | import asyncio
import time
import logging
log = logging.getLogger(__name__)
from xwing.exceptions import HeartbeatFailureError, ConnectionAlreadyExists
EOL = b'\n'
HEARTBEAT = b'HEARTBEAT'
HEARTBEAT_SIGNAL = b'HEARTBEAT_SIGNAL'
HEARTBEAT_ACK = b'HEARTBEAT_ACK'
INITIAL_HEARBEAT_LIVENESS = 3
class Repository:
d... | 0 | 0 | 1,603 | 1,240 | 0 | 36 | 0 | 37 | 136 |
dae5d7876b3b59b44e5689bea9952dd0d3ca995f | 239 | py | Python | dgp/src/data_generation_exceptions.py | ccclab-bigdata/cdml-neurips2020 | 85d4810aa630e4ce57acc75244b4508d09ea4b94 | [
"BSD-3-Clause"
] | 38 | 2020-12-06T14:14:07.000Z | 2022-02-24T08:16:33.000Z | dgp/src/data_generation_exceptions.py | ccclab-bigdata/cdml-neurips2020 | 85d4810aa630e4ce57acc75244b4508d09ea4b94 | [
"BSD-3-Clause"
] | null | null | null | dgp/src/data_generation_exceptions.py | ccclab-bigdata/cdml-neurips2020 | 85d4810aa630e4ce57acc75244b4508d09ea4b94 | [
"BSD-3-Clause"
] | 10 | 2020-12-21T19:26:16.000Z | 2022-02-23T09:17:42.000Z | """
Copyright (c) 2020 by Impulse Innovations Ltd. Private and confidential. Part of the causaLens product.
"""
| 29.875 | 103 | 0.736402 | """
Copyright (c) 2020 by Impulse Innovations Ltd. Private and confidential. Part of the causaLens product.
"""
class DataGenerationException(Exception):
""" Raised when the data generation fails, e.g., produces non-finite data. """
| 0 | 0 | 0 | 103 | 0 | 0 | 0 | 0 | 23 |
169b865b214403cdc18c28e26bebfe3325e18c0a | 2,489 | py | Python | cupy/_manipulation/basic.py | twmht/cupy | 1f518ec72672ad35af59c4af9fd7243c785fdbce | [
"MIT"
] | null | null | null | cupy/_manipulation/basic.py | twmht/cupy | 1f518ec72672ad35af59c4af9fd7243c785fdbce | [
"MIT"
] | null | null | null | cupy/_manipulation/basic.py | twmht/cupy | 1f518ec72672ad35af59c4af9fd7243c785fdbce | [
"MIT"
] | null | null | null | import numpy
from cupy import _core
from cupy._core import _fusion_interface
from cupy._core import fusion
from cupy._sorting import search
from cupy_backends.cuda.api import runtime
def copyto(dst, src, casting='same_kind', where=None):
"""Copies values from one array to another with broadcasting.
This fun... | 30.728395 | 78 | 0.650462 | import numpy
from cupy import _core
from cupy._core import _fusion_interface
from cupy._core import fusion
from cupy._sorting import search
from cupy_backends.cuda.api import runtime
def copyto(dst, src, casting='same_kind', where=None):
"""Copies values from one array to another with broadcasting.
This fun... | 0 | 0 | 0 | 0 | 0 | 247 | 0 | 0 | 23 |
a5932eb843c4058d794406b2c0a5189f07330790 | 1,782 | py | Python | examples/example_rep.py | fengjixuchui/microx | c17171ebf63315438d58b31e7b29e326fa084cec | [
"Apache-2.0"
] | 78 | 2017-01-05T23:17:53.000Z | 2019-10-10T14:51:16.000Z | examples/example_rep.py | fengjixuchui/microx | c17171ebf63315438d58b31e7b29e326fa084cec | [
"Apache-2.0"
] | 17 | 2020-02-02T16:00:46.000Z | 2021-09-26T17:40:39.000Z | examples/example_rep.py | fengjixuchui/microx | c17171ebf63315438d58b31e7b29e326fa084cec | [
"Apache-2.0"
] | 10 | 2017-04-02T20:11:56.000Z | 2019-06-25T15:36:01.000Z | #!/usr/bin/env python3
# Copyright (c) 2019 Trail of Bits, Inc., all rights reserved.
import microx
import traceback
if __name__ == "__main__":
# Disassembly:
# lea edi, [esp - 32]
# mov eax, 0x41
# mov ecx, 32
# rep stosb
#
# lea esi, [esp - 32]
# lea edi, [esp - 64]
# mov ecx, 3... | 27.84375 | 220 | 0.571829 | #!/usr/bin/env python3
# Copyright (c) 2019 Trail of Bits, Inc., all rights reserved.
import microx
import traceback
if __name__ == "__main__":
# Disassembly:
# lea edi, [esp - 32]
# mov eax, 0x41
# mov ecx, 32
# rep stosb
#
# lea esi, [esp - 32]
# lea edi, [esp - 64]
# mov ecx, 3... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
23e36fe27ede98afdfcda44c883230516d6969de | 1,824 | py | Python | card.py | darshu-kheni/Card-Deliver | 899e101b6d1fce8434ab71ce0d223fad76a92cda | [
"CC0-1.0"
] | 1 | 2020-05-21T06:34:52.000Z | 2020-05-21T06:34:52.000Z | card.py | darshu-kheni/Card-Deliver | 899e101b6d1fce8434ab71ce0d223fad76a92cda | [
"CC0-1.0"
] | null | null | null | card.py | darshu-kheni/Card-Deliver | 899e101b6d1fce8434ab71ce0d223fad76a92cda | [
"CC0-1.0"
] | null | null | null | # ------------------------------------- This is Created by Darshan R Kheni ------------------------------------- #
# ---------------------------------------------------- Enjoy --------------------------------------------------- #
deck = Deck() # creating object of Deck class
shuffled = deck.shuffle()
... | 24.986301 | 115 | 0.474232 | # ------------------------------------- This is Created by Darshan R Kheni ------------------------------------- #
# ---------------------------------------------------- Enjoy --------------------------------------------------- #
import random
class Card(object):
def __init__(self, shape, val):
... | 0 | 0 | 0 | 1,276 | 0 | 0 | 0 | -8 | 100 |
6b6e37634752262ba425a8bb676b0275e3b48ea4 | 2,056 | py | Python | merge-k-sorted-lists.py | kwanhur/leetcode | 62c297ce16c3c622d4d3740906362deda54abe0c | [
"MIT"
] | null | null | null | merge-k-sorted-lists.py | kwanhur/leetcode | 62c297ce16c3c622d4d3740906362deda54abe0c | [
"MIT"
] | null | null | null | merge-k-sorted-lists.py | kwanhur/leetcode | 62c297ce16c3c622d4d3740906362deda54abe0c | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# _*_ coding:utf-8 _*_
if __name__ == '__main__':
so = Solution()
test([genList([1, 4, 5]), genList([1, 3, 4]), genList([2, 6])])
test([genList([]), genList([1, 3, 4]), genList([])])
test([genList([1, 4, 5]), genList([]), genList([6])])
test([genList([]), genList([])... | 21.642105 | 67 | 0.412451 | #! /usr/bin/env python
# _*_ coding:utf-8 _*_
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def mergeKLists(self, lists):
if not lists:
return
ret = []
for l in lists:
while l:
... | 0 | 0 | 0 | 1,240 | 0 | 312 | 0 | 0 | 119 |
419acf5e412d7d59980237790c825a06e536c0b4 | 1,152 | py | Python | topics/admin.py | mblacklock/sohkahtoa | 89623b436dc1adf482308f22aa1eba81db343fde | [
"MIT"
] | null | null | null | topics/admin.py | mblacklock/sohkahtoa | 89623b436dc1adf482308f22aa1eba81db343fde | [
"MIT"
] | null | null | null | topics/admin.py | mblacklock/sohkahtoa | 89623b436dc1adf482308f22aa1eba81db343fde | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from topics.models import Subtopic, Topic, Year
# Register your models here.
admin.site.register(Year, YearAdmin)
admin.site.register(Topic, TopicAdmin)
admin.site.register(Subtopic, SubtopicAdmin)
| 26.181818 | 73 | 0.684028 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
from topics.models import Subtopic, Topic, Year
# Register your models here.
class TopicInline(admin.TabularInline):
model = Topic
extra = 0
prepopulated_fields = {'slug':('name',)}
class SubtopicInline(adm... | 0 | 0 | 0 | 738 | 0 | 0 | 0 | 0 | 115 |
5c1b887296769375f7adb990a627fde27621f260 | 2,202 | py | Python | ex_study_nonces2.py | robertsdotpm/rand | 5a551e25fff9b183a197f44f1ecc542ba95648cc | [
"Unlicense"
] | 2 | 2020-06-04T10:51:50.000Z | 2021-05-05T03:55:09.000Z | ex_study_nonces2.py | robertsdotpm/rand | 5a551e25fff9b183a197f44f1ecc542ba95648cc | [
"Unlicense"
] | null | null | null | ex_study_nonces2.py | robertsdotpm/rand | 5a551e25fff9b183a197f44f1ecc542ba95648cc | [
"Unlicense"
] | null | null | null | import seaborn as sns
sns.set_theme(color_codes=True)
tips = sns.load_dataset("tips")
print(tips.to_dict())
"""
x = {
"col_name": {
"row index": value,
"row index + 1": value
}
}
"""
exit()
freq_table_a = {}
freq_table_b = {}
cpow = CPoW()
for n in range(0, 1):
nonce_info = []
cpow.fingerprint = None
... | 19.486726 | 100 | 0.609446 | from params import *
from utils import *
from shared_pow import *
from compress import *
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_theme(color_codes=True)
tips = sns.load_dataset("tips")
print(tips.to_dict())
"""
x = {
"col_name": {
"row index": value,
"row index + 1": va... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 133 |
d64f553fc49df205944bf28d9d5e675d4ac345a7 | 1,690 | py | Python | stacks/XIAOMATECH/1.0/services/JIRA/package/scripts/confluence.py | tvorogme/dataops | acfa21df42a20768c004c6630a064f4e38e280b2 | [
"Apache-2.0"
] | 3 | 2019-08-13T01:44:16.000Z | 2019-12-10T04:05:56.000Z | stacks/XIAOMATECH/1.0/services/JIRA/package/scripts/confluence.py | tvorogme/dataops | acfa21df42a20768c004c6630a064f4e38e280b2 | [
"Apache-2.0"
] | null | null | null | stacks/XIAOMATECH/1.0/services/JIRA/package/scripts/confluence.py | tvorogme/dataops | acfa21df42a20768c004c6630a064f4e38e280b2 | [
"Apache-2.0"
] | 7 | 2019-05-29T17:35:25.000Z | 2021-12-04T07:55:10.000Z |
if __name__ == "__main__":
Confluence().execute()
| 31.296296 | 93 | 0.697041 | from resource_management.core.resources.system import Execute
from resource_management.libraries.script import Script
from resource_management.core.resources.system import File
from resource_management.core.source import InlineTemplate
from resource_management.core.resources.system import Directory
from resource_manage... | 0 | 0 | 0 | 872 | 0 | 309 | 0 | 250 | 201 |
d14c61706fde4ffed109e8cdffef8b481aed62d5 | 152 | py | Python | python/exercicios mundo 1/ex003/ex002.py | LEXW3B/PYTHON | 1ae54ea709c008bd7fab7602e034773610e7985e | [
"MIT"
] | 1 | 2022-01-05T08:51:16.000Z | 2022-01-05T08:51:16.000Z | python/exercicios mundo 1/ex003/ex002.py | LEXW3B/PYTHON | 1ae54ea709c008bd7fab7602e034773610e7985e | [
"MIT"
] | null | null | null | python/exercicios mundo 1/ex003/ex002.py | LEXW3B/PYTHON | 1ae54ea709c008bd7fab7602e034773610e7985e | [
"MIT"
] | null | null | null | n1 = int(input('digite um numero: '))
print('o sucessor do seu numero {}'.format(n1 + 1))
print('o antecessor do seu numero {}'.format(n1 - 1))
| 38 | 55 | 0.631579 | n1 = int(input('digite um numero: '))
print('o sucessor do seu numero é {}'.format(n1 + 1))
print('o antecessor do seu numero é {}'.format(n1 - 1))
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
23973175b75d9ce5c3e54a40b802637595910f9b | 117 | py | Python | Desafio112.py | VictorCastao/Curso-em-Video-Python | aeee8baaa73c04b839a27ae37ba24ecc0b863075 | [
"MIT"
] | null | null | null | Desafio112.py | VictorCastao/Curso-em-Video-Python | aeee8baaa73c04b839a27ae37ba24ecc0b863075 | [
"MIT"
] | null | null | null | Desafio112.py | VictorCastao/Curso-em-Video-Python | aeee8baaa73c04b839a27ae37ba24ecc0b863075 | [
"MIT"
] | null | null | null | from utilidadesCeV import dados, moeda
num = dados.leiaDinheiro('Digite o nmero: ')
moeda.resumo('R$', num, 10, 10) | 29.25 | 45 | 0.726496 | from utilidadesCeV import dados, moeda
num = dados.leiaDinheiro('Digite o número: ')
moeda.resumo('R$', num, 10, 10) | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
08272d7e3a10d80bca8788a7d2ae1e1ea9526be1 | 104 | py | Python | filter_plugins/filter_functions/string_utils.py | vardaofthevalier/ansible-examples | 195f8adfee16a6214b265942cc8272fa51da73d3 | [
"MIT"
] | null | null | null | filter_plugins/filter_functions/string_utils.py | vardaofthevalier/ansible-examples | 195f8adfee16a6214b265942cc8272fa51da73d3 | [
"MIT"
] | null | null | null | filter_plugins/filter_functions/string_utils.py | vardaofthevalier/ansible-examples | 195f8adfee16a6214b265942cc8272fa51da73d3 | [
"MIT"
] | null | null | null | # split a string by the given separator | 34.666667 | 39 | 0.769231 | # split a string by the given separator
def split(string, separator):
return string.split(separator) | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 22 |
fb0074a00736a1bf6d003c817076fbb514d44c3b | 4,712 | py | Python | src/media/tools/movies/namelist.py | cjcodeproj/medialibrary | 466ba475561f7701fe41ebe196aaf789a0aa7237 | [
"MIT"
] | null | null | null | src/media/tools/movies/namelist.py | cjcodeproj/medialibrary | 466ba475561f7701fe41ebe196aaf789a0aa7237 | [
"MIT"
] | 29 | 2021-09-06T00:46:30.000Z | 2022-03-23T16:47:04.000Z | src/media/tools/movies/namelist.py | cjcodeproj/medialibrary | 466ba475561f7701fe41ebe196aaf789a0aa7237 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
'''
Module to report on all named within a movie
'''
# pylint: disable=R0801
import os
import argparse
from media.tools.common import (load_media_dev, compile_movies, random_sample_list)
def extract_from_list(in_dict, in_crew_job, in_job_title, in_movie_title):
'''
Extract the name of... | 32.054422 | 78 | 0.546265 | #!/usr/bin/env python
'''
Module to report on all named within a movie
'''
# pylint: disable=R0801
import os
import argparse
from media.tools.common import (
load_media_dev, compile_movies, random_sample_list
)
class NameJobTitleMap():
'''Crewname object that lists every job role in every title.... | 0 | 258 | 0 | 1,347 | 0 | 0 | 0 | 18 | 23 |
5eabe108f60196928356261e0840e6b29955ab7e | 8,206 | py | Python | training/loss_control.py | bruinxiong/DisentangledFaceGAN | 625e2077493fdc96bcab6105fc4b39185dd820ad | [
"MIT"
] | 200 | 2020-04-24T11:25:36.000Z | 2020-09-03T19:40:49.000Z | training/loss_control.py | bruinxiong/DisentangledFaceGAN | 625e2077493fdc96bcab6105fc4b39185dd820ad | [
"MIT"
] | 12 | 2020-06-10T01:54:25.000Z | 2020-08-04T09:54:44.000Z | training/loss_control.py | bruinxiong/DisentangledFaceGAN | 625e2077493fdc96bcab6105fc4b39185dd820ad | [
"MIT"
] | 25 | 2020-04-28T23:33:09.000Z | 2020-08-19T01:12:10.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# Losses for imitative and contrastive learning
#---------------------------------------------------------------------------
#----------------------------------------------------------------------------
# Imitative losses
# L1 loss between ren... | 40.623762 | 139 | 0.703753 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# Losses for imitative and contrastive learning
import tensorflow as tf
from dnnlib.tflib.autosummary import autosummary
from training.networks_recon import R_Net
from training.networks_id import Perceptual_Net
from training.networks_parser impor... | 0 | 0 | 0 | 0 | 0 | 6,879 | 0 | 95 | 376 |
8ab85b73de75771fb44d5c972a2fa11e3c439597 | 9,647 | py | Python | tests/test_api.py | ronanmu/enigma2.py | 768207655c7aa90a6a241a9a8cc7826f7235fc89 | [
"MIT"
] | null | null | null | tests/test_api.py | ronanmu/enigma2.py | 768207655c7aa90a6a241a9a8cc7826f7235fc89 | [
"MIT"
] | null | null | null | tests/test_api.py | ronanmu/enigma2.py | 768207655c7aa90a6a241a9a8cc7826f7235fc89 | [
"MIT"
] | null | null | null | """
tests.test_api
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Tests the api
Copyright (c) 2018 Ronan Murray <https://github.com/ronanmu>
Licensed under the MIT license.
"""
# pylint: disable=protected-access
# def test_get_picon_name(self):
# self.assertEqual(enigma2.api.Engima2Device.get_picon_name('RT One'), ... | 39.699588 | 117 | 0.670157 | """
tests.test_api
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Tests the api
Copyright (c) 2018 Ronan Murray <https://github.com/ronanmu>
Licensed under the MIT license.
"""
# pylint: disable=protected-access
import os, sys
import unittest
import requests_mock
from tests.sample_responses import (SAMPLE_ABOUT, SAMPLE_STATUS_I... | 2 | 7,030 | 0 | 1,304 | 0 | 0 | 0 | 298 | 183 |
c40d8976343960d99429363f61dd841f3cd708b5 | 309 | py | Python | seedstar_django_challenge/task1/models.py | sisqology/seedstar_django_challenge | 83062eede010a12e06619e8e8c4adcdab0c89a80 | [
"MIT"
] | null | null | null | seedstar_django_challenge/task1/models.py | sisqology/seedstar_django_challenge | 83062eede010a12e06619e8e8c4adcdab0c89a80 | [
"MIT"
] | null | null | null | seedstar_django_challenge/task1/models.py | sisqology/seedstar_django_challenge | 83062eede010a12e06619e8e8c4adcdab0c89a80 | [
"MIT"
] | 1 | 2018-03-06T07:57:17.000Z | 2018-03-06T07:57:17.000Z | from __future__ import unicode_literals
| 30.9 | 56 | 0.779935 | from __future__ import unicode_literals
from django.db import models
class Users(models.Model):
name = models.CharField(max_length=200)
email = models.CharField(max_length=60, unique=True)
created_at = models.DateTimeField(auto_now=True)
updated_at = models.DateTimeField(auto_now_add=True)
| 0 | 0 | 0 | 216 | 0 | 0 | 0 | 7 | 46 |
5bc753484ef237bb15ac19e05082e4a5b61dd2a8 | 1,317 | py | Python | python_new/test.py | ikim-quantum/Jabc | e98278ecb5daa7f239daadf573a2de36997aa644 | [
"MIT"
] | null | null | null | python_new/test.py | ikim-quantum/Jabc | e98278ecb5daa7f239daadf573a2de36997aa644 | [
"MIT"
] | null | null | null | python_new/test.py | ikim-quantum/Jabc | e98278ecb5daa7f239daadf573a2de36997aa644 | [
"MIT"
] | null | null | null | import numpy as np
from Jabc import Jabc, Jabc2
import matplotlib.pyplot as plt
omega = np.exp(np.pi * 1j * 2 / 3)
r = (np.sqrt(3)+1) / (np.sqrt(3)-1)
# 4 qubits
zs = [1, omega, omega**2, 0]
zs_A = [zs[0]]
zs_B = [zs[1]]
zs_C = [zs[2]]
zs_D = [zs[3]]
X = [z.real for z in zs]
Y = [z.imag for z in zs]
color= ["red", "... | 24.849057 | 109 | 0.596052 | import numpy as np
from Jabc import Jabc, Jabc2
import matplotlib.pyplot as plt
omega = np.exp(np.pi * 1j * 2 / 3)
r = (np.sqrt(3)+1) / (np.sqrt(3)-1)
# 4 qubits
zs = [1, omega, omega**2, 0]
zs_A = [zs[0]]
zs_B = [zs[1]]
zs_C = [zs[2]]
zs_D = [zs[3]]
X = [z.real for z in zs]
Y = [z.imag for z in zs]
color= ["red", "... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17573c7cb4b240abc792479a39c0e9f4a5b0fc59 | 5,571 | py | Python | tests/hydropper/testcases/microvm/functional/test_microvm_cpu_features.py | ican2002/stratorvirt | b8e9b675ae0fac9e359a2096cc818f92c4f11c30 | [
"MulanPSL-1.0"
] | 66 | 2020-10-27T02:48:24.000Z | 2022-03-05T14:24:08.000Z | tests/hydropper/testcases/microvm/functional/test_microvm_cpu_features.py | ican2002/stratorvirt | b8e9b675ae0fac9e359a2096cc818f92c4f11c30 | [
"MulanPSL-1.0"
] | null | null | null | tests/hydropper/testcases/microvm/functional/test_microvm_cpu_features.py | ican2002/stratorvirt | b8e9b675ae0fac9e359a2096cc818f92c4f11c30 | [
"MulanPSL-1.0"
] | 9 | 2020-12-27T08:06:04.000Z | 2022-02-22T11:28:34.000Z | # Copyright (c) 2021 Huawei Technologies Co.,Ltd. All rights reserved.
#
# StratoVirt is licensed under Mulan PSL v2.
# You can use this software according to the terms and conditions of the Mulan
# PSL v2.
# You may obtain a copy of Mulan PSL v2 at:
# http:#license.coscl.org.cn/MulanPSL2
# THIS SOFTWARE IS PRO... | 31.653409 | 106 | 0.639024 | # Copyright (c) 2021 Huawei Technologies Co.,Ltd. All rights reserved.
#
# StratoVirt is licensed under Mulan PSL v2.
# You can use this software according to the terms and conditions of the Mulan
# PSL v2.
# You may obtain a copy of Mulan PSL v2 at:
# http:#license.coscl.org.cn/MulanPSL2
# THIS SOFTWARE IS PRO... | 0 | 1,999 | 0 | 66 | 0 | 2,470 | 0 | -26 | 272 |
b4269c0f1ab95d847b0c15ce1d9198abf3bb16db | 1,899 | py | Python | config.py | ShubinZhang/Non-contact-optical-thermometry | c73746bc7e1914b28b52eb744121ea2d0e735238 | [
"MIT"
] | null | null | null | config.py | ShubinZhang/Non-contact-optical-thermometry | c73746bc7e1914b28b52eb744121ea2d0e735238 | [
"MIT"
] | null | null | null | config.py | ShubinZhang/Non-contact-optical-thermometry | c73746bc7e1914b28b52eb744121ea2d0e735238 | [
"MIT"
] | null | null | null | #Settings for up-conversion thermometry
setting_dict_upconversion = {
#Instrument connection setting
"chromex_port": 1, #spectrometer port number
"filter_wheel": 2, #filter wheel port number
"shutter_port": 3, #shutter port number
"shutter_line": 1, #shutter line number
#Measuremnt setting... | 45.214286 | 78 | 0.662454 | #Settings for up-conversion thermometry
setting_dict_upconversion = {
#Instrument connection setting
"chromex_port": 1, #spectrometer port number
"filter_wheel": 2, #filter wheel port number
"shutter_port": 3, #shutter port number
"shutter_line": 1, #shutter line number
#Measuremnt setting... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a89e08a73614c215c6993e4412c2fb48ad4c666d | 1,271 | py | Python | fastapi_mvc/cli/cli.py | rszamszur/fastapi-mvc | 98670eda3b485cfe25850773dcc1ae7ae5feced9 | [
"MIT"
] | 98 | 2021-12-21T18:45:07.000Z | 2022-03-27T08:48:37.000Z | fastapi_mvc/cli/cli.py | rszamszur/fastapi-mvc | 98670eda3b485cfe25850773dcc1ae7ae5feced9 | [
"MIT"
] | 48 | 2021-12-21T16:06:56.000Z | 2022-03-26T17:28:57.000Z | fastapi_mvc/cli/cli.py | rszamszur/fastapi-mvc | 98670eda3b485cfe25850773dcc1ae7ae5feced9 | [
"MIT"
] | 16 | 2022-01-05T14:21:50.000Z | 2022-02-13T17:55:07.000Z | """Command-line interface - root."""
import sys
from fastapi_mvc.cli.new import get_new_cmd
from fastapi_mvc.cli.run import run
from fastapi_mvc.cli.generate import get_generate_cmd
from fastapi_mvc.utils import global_except_hook
sys.excepthook = global_except_hook
cmd_help = """\
Developer productivity tool for mak... | 21.913793 | 79 | 0.667191 | """Command-line interface - root."""
import logging
import sys
import click
from fastapi_mvc.cli.new import get_new_cmd
from fastapi_mvc.cli.run import run
from fastapi_mvc.cli.generate import get_generate_cmd
from fastapi_mvc.utils import global_except_hook
sys.excepthook = global_except_hook
cmd_help = """\
Develo... | 0 | 658 | 0 | 0 | 0 | 0 | 0 | -16 | 68 |
7fef6626ed00bdd9afdf4780c00e049c2cb6c56f | 11,146 | py | Python | src/python/module/nifty/graph/__init__.py | DerThorsten/n3p | c4bd4cd90f20e68f0dbd62587aba28e4752a0ac1 | [
"MIT"
] | 38 | 2016-06-29T07:42:50.000Z | 2021-12-09T09:25:25.000Z | src/python/module/nifty/graph/__init__.py | tbullmann/nifty | 00119fd4753817b931272d6d3120b6ebd334882a | [
"MIT"
] | 62 | 2016-07-27T16:07:53.000Z | 2022-03-30T17:24:36.000Z | src/python/module/nifty/graph/__init__.py | tbullmann/nifty | 00119fd4753817b931272d6d3120b6ebd334882a | [
"MIT"
] | 20 | 2016-01-25T21:21:52.000Z | 2021-12-09T09:25:16.000Z | # sphinx_gallery_thumbnail_number = 4
from __future__ import absolute_import
from . import _graph as __graph
from .. import Configuration
from . opt import multicut
from . opt import lifted_multicut
from . opt import mincut
from . opt import minstcut
import numpy
__all__ = []
for key in __graph.__dict__.keys():
... | 37.402685 | 125 | 0.686524 | # sphinx_gallery_thumbnail_number = 4
from __future__ import absolute_import
from . import _graph as __graph
from ._graph import *
from .. import Configuration
from . import opt
from . opt import multicut
from . opt import lifted_multicut
from . opt import mincut
from . opt import minstcut
import numpy
from functool... | 0 | 0 | 0 | 613 | 0 | 1,396 | 0 | -16 | 248 |
d1393c2324bc494a3207530948291a814300da08 | 371 | py | Python | tests/test_01.py | crawles/tdd_python_examples | d58b167af046d73ca99e7aa7356513feaaa072af | [
"MIT"
] | null | null | null | tests/test_01.py | crawles/tdd_python_examples | d58b167af046d73ca99e7aa7356513feaaa072af | [
"MIT"
] | null | null | null | tests/test_01.py | crawles/tdd_python_examples | d58b167af046d73ca99e7aa7356513feaaa072af | [
"MIT"
] | 1 | 2018-08-02T15:43:21.000Z | 2018-08-02T15:43:21.000Z | import sys
sys.path.insert(0, '../examples') | 20.611111 | 41 | 0.641509 | import sys
sys.path.insert(0, '../examples')
from compare_lists import lists_equal
class TestListsEqual:
def test_empty_list(self):
assert lists_equal([],[])
def test_1ele(self):
assert lists_equal([1],[1])
def test_1_2ele(self):
assert not lists_equal([1],[1,2])
def test_1... | 0 | 0 | 0 | 265 | 0 | 0 | 0 | 16 | 46 |
b82a0215b89eb5ec8b20f1230e05dd1747244585 | 969 | py | Python | moztrap/model/tags/models.py | mbeko/moztrap | db75e1f8756ef2c0c39652a66302b19c8afa0256 | [
"BSD-2-Clause"
] | null | null | null | moztrap/model/tags/models.py | mbeko/moztrap | db75e1f8756ef2c0c39652a66302b19c8afa0256 | [
"BSD-2-Clause"
] | null | null | null | moztrap/model/tags/models.py | mbeko/moztrap | db75e1f8756ef2c0c39652a66302b19c8afa0256 | [
"BSD-2-Clause"
] | null | null | null | """
Models for tags.
"""
| 26.189189 | 76 | 0.654283 | """
Models for tags.
"""
from django.db import models
from ..mtmodel import MTModel
from ..core.models import Product
class Tag(MTModel):
"""A tag."""
name = models.CharField(db_index=True, max_length=100)
description = models.TextField(blank=True)
# tags may be product-specific or global (in whic... | 0 | 0 | 0 | 824 | 0 | 0 | 0 | 27 | 90 |
35d4a22b5cd2ba07a4f7fdd466a6611c9b94adee | 1,971 | py | Python | scripts/transform2.py | zhongguotu/ecs289c-precimonious | 2c33f99eef616de9ffa5edc4c6e37ff09760ce6b | [
"BSD-3-Clause"
] | null | null | null | scripts/transform2.py | zhongguotu/ecs289c-precimonious | 2c33f99eef616de9ffa5edc4c6e37ff09760ce6b | [
"BSD-3-Clause"
] | null | null | null | scripts/transform2.py | zhongguotu/ecs289c-precimonious | 2c33f99eef616de9ffa5edc4c6e37ff09760ce6b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
Transform the bitcode file with the given configuration
return 1 bitcode file is valid, threshold satisfied
0 bitcode file is invalid, threshold not satisfied
-1 LLVM transformation passes failure
-3 modified bitcode file execution failure
"""
| 30.796875 | 78 | 0.624049 | #!/usr/bin/env python
import os
import platform
import sys
from subprocess import call
"""
Transform the bitcode file with the given configuration
return 1 bitcode file is valid, threshold satisfied
0 bitcode file is invalid, threshold not satisfied
-1 LLVM transformation passes failure
-3 m... | 0 | 0 | 0 | 0 | 0 | 1,584 | 0 | -23 | 112 |
d5006a8f1aad2991e184ad4a3cb210146f3adbdd | 2,594 | py | Python | DataStructure/ArrayDeque.py | flyinglandlord/BUAA-SAE-DataStructure-2021 | 7eb686465b18b125115e03b39e6d83e4ed7a30cb | [
"MIT"
] | 2 | 2022-03-31T01:43:24.000Z | 2022-03-31T02:05:14.000Z | DataStructure/ArrayDeque.py | flyinglandlord/BUAA-SAE-DataStructure-2021 | 7eb686465b18b125115e03b39e6d83e4ed7a30cb | [
"MIT"
] | null | null | null | DataStructure/ArrayDeque.py | flyinglandlord/BUAA-SAE-DataStructure-2021 | 7eb686465b18b125115e03b39e6d83e4ed7a30cb | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
D = ArrayDeque()
D.add_last(5)
print(D)
D.add_first(3)
print(D)
D.add_first(7)
print(D)
D.delete_last()
print(D)
print(len(D))
D.delete_last()
print(D)
D.delete_last()
print(D)
D.add_first(6)
print(D)
D.add_first(8)
pr... | 24.704762 | 104 | 0.555898 | from Exception import Empty
class ArrayDeque:
DEFAULT_CAPACITY = 2
def __init__(self):
self._data = [None] * ArrayDeque.DEFAULT_CAPACITY
self._front = 0
self._rear = 0
self._size = 0
self._capacity = ArrayDeque.DEFAULT_CAPACITY
def is_empty(self):
return ... | 120 | 0 | 0 | 2,153 | 0 | 0 | 0 | 6 | 45 |
16a21fa95ceb80dd4e8fb07490374fbc59fce169 | 568 | py | Python | examples/twoAxesOneCamera.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | examples/twoAxesOneCamera.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | examples/twoAxesOneCamera.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
""" This example shows how to use the same camera for multiple axes,
which can be helpful if for example the axes show a different view
on the same data.
"""
import visvis as vv
app = vv.use()
# Read lena
im1 = vv.imread('lena.png')
# Our second image is a thresholded image
im2 = im1 > 100
... | 18.322581 | 69 | 0.704225 | #!/usr/bin/env python
""" This example shows how to use the same camera for multiple axes,
which can be helpful if for example the axes show a different view
on the same data.
"""
import visvis as vv
app = vv.use()
# Read lena
im1 = vv.imread('lena.png')
# Our second image is a thresholded image
im2 = im1 > 100
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1aa4d7f3bf801fec8dba4c8929bbd136a2c1edf3 | 2,926 | py | Python | Image Segmentation/train.py | ShivamRajSharma/PyTorch | 114537ebbae878a5522adcfe262f936fd9c2368d | [
"MIT"
] | 5 | 2020-09-13T07:53:48.000Z | 2021-12-03T12:53:05.000Z | Image Segmentation/train.py | ShivamRajSharma/PyTorch | 114537ebbae878a5522adcfe262f936fd9c2368d | [
"MIT"
] | null | null | null | Image Segmentation/train.py | ShivamRajSharma/PyTorch | 114537ebbae878a5522adcfe262f936fd9c2368d | [
"MIT"
] | 1 | 2021-05-04T16:24:39.000Z | 2021-05-04T16:24:39.000Z | import torch.nn as nn
if __name__ == "__main__":
run()
| 27.603774 | 147 | 0.644908 | import CONFIG
import UNet
import engine
import DataLoader
import predict
import numpy as np
import os
import torch
import torch.nn as nn
from sklearn.model_selection import train_test_split
import albumentations as alb
def run():
path = CONFIG.INPUT_PATH
x_ray_image_names = os.listdir(path + '/CXR_png/')
... | 0 | 0 | 0 | 0 | 0 | 2,644 | 0 | -23 | 244 |
c31cb0bde2cde67f9a5a29f63c9ba7ffc3703880 | 7,225 | py | Python | scripts/aws/server_option_parser.py | xhochy/cryptominisat | 3bbc4b5463c1003139949ac98772ed8505b8928c | [
"MIT"
] | 3 | 2019-02-07T11:23:56.000Z | 2020-11-18T18:10:23.000Z | scripts/aws/server_option_parser.py | xhochy/cryptominisat | 3bbc4b5463c1003139949ac98772ed8505b8928c | [
"MIT"
] | 6 | 2020-06-05T14:42:46.000Z | 2020-07-15T19:13:09.000Z | scripts/aws/server_option_parser.py | xhochy/cryptominisat | 3bbc4b5463c1003139949ac98772ed8505b8928c | [
"MIT"
] | 6 | 2020-06-05T13:32:05.000Z | 2021-12-05T22:45:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2018 Mate Soos
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; version 2
# of the License.
#
# This program is distributed in th... | 37.051282 | 130 | 0.602215 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2018 Mate Soos
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; version 2
# of the License.
#
# This program is distributed in th... | 0 | 0 | 0 | 202 | 0 | 6,049 | 0 | -34 | 134 |
545f49f9631b0d3152bc78528f7476a158b124d1 | 72,043 | py | Python | pyNastran/bdf/cards/contact.py | ACea15/pyNastran | 5ffc37d784b52c882ea207f832bceb6b5eb0e6d4 | [
"BSD-3-Clause"
] | 1 | 2021-08-02T09:49:24.000Z | 2021-08-02T09:49:24.000Z | pyNastran/bdf/cards/contact.py | ACea15/pyNastran | 5ffc37d784b52c882ea207f832bceb6b5eb0e6d4 | [
"BSD-3-Clause"
] | null | null | null | pyNastran/bdf/cards/contact.py | ACea15/pyNastran | 5ffc37d784b52c882ea207f832bceb6b5eb0e6d4 | [
"BSD-3-Clause"
] | null | null | null | """
Defines the following contact cards:
nx contact:
- BCONP
- BLSEG
- BCPARA
- BCRPARA
- BCTPARA
- BCTADD
- BCTSET
- BSURF
- BSURFS
- BFRIC
msc contact:
- BCAUTOP (todo)
- BCBDPRP (todo)
- BCBMRAD (todo)
- BCBODY (todo)
- BCBODY1 (todo)
- BCBZIER (todo)
- BCGRID (todo)
- BCHANGE (todo)
- BCMATL ... | 40.45087 | 120 | 0.498133 | """
Defines the following contact cards:
nx contact:
- BCONP
- BLSEG
- BCPARA
- BCRPARA
- BCTPARA
- BCTADD
- BCTSET
- BSURF
- BSURFS
- BFRIC
msc contact:
- BCAUTOP (todo)
- BCBDPRP (todo)
- BCBMRAD (todo)
- BCBODY (todo)
- BCBODY1 (todo)
- BCBZIER (todo)
- BCGRID (todo)
- BCHANGE (todo)
- BCMATL ... | 42 | 41,074 | 0 | 28,866 | 0 | 0 | 0 | 288 | 415 |
56abe97fcbef72f22e5fbbed5afe130779d1e821 | 4,624 | py | Python | img2code.py | ekinakyurek/lexsym | 58e2261fd18812aef3a2c5b8796aba7522a61941 | [
"MIT"
] | null | null | null | img2code.py | ekinakyurek/lexsym | 58e2261fd18812aef3a2c5b8796aba7522a61941 | [
"MIT"
] | null | null | null | img2code.py | ekinakyurek/lexsym | 58e2261fd18812aef3a2c5b8796aba7522a61941 | [
"MIT"
] | null | null | null | from absl import app, flags
FLAGS = flags.FLAGS
flags.DEFINE_string("modeltype", default='VQVAE',
help='VAE, VQVAE, TODO: fix this flag for filter model')
flags.DEFINE_string("imgsize", default='128,128',
help='resize dimension for input images')
if __name__ == "__main__"... | 32.111111 | 98 | 0.500865 | import os
from absl import app, flags
from seq2seq import hlog
from torch.utils.data import DataLoader
from tqdm import tqdm
import options
from src import utils
from src.vqvae import VectorQuantizedVAE
from src import parallel
from src.datasets import get_data
FLAGS = flags.FLAGS
flags.DEFINE_string("modeltype",... | 0 | 0 | 0 | 0 | 0 | 3,978 | 0 | 36 | 270 |
145d1f449e93f2d492a7505804e0b73d73912387 | 673 | py | Python | utils/community/util/pre_data.py | logomanwolf/GServer | 85467521df144608168f8004390e0a5294a654bd | [
"Apache-2.0"
] | null | null | null | utils/community/util/pre_data.py | logomanwolf/GServer | 85467521df144608168f8004390e0a5294a654bd | [
"Apache-2.0"
] | 4 | 2021-03-02T00:20:11.000Z | 2022-03-03T22:44:45.000Z | utils/community/util/pre_data.py | logomanwolf/GServer | 85467521df144608168f8004390e0a5294a654bd | [
"Apache-2.0"
] | null | null | null | groundTruth="E:/Download/social_network/email-Eu-core-department-labels.txt/email-Eu-core-department-labels.txt"
edgeList="E:\Download\social_network\email-EuAll.txt\Email-EuAll.txt"
if __name__ == "__main__":
preData() | 35.421053 | 112 | 0.695394 | import numpy as np
import networkx as nx
groundTruth="E:/Download/social_network/email-Eu-core-department-labels.txt/email-Eu-core-department-labels.txt"
edgeList="E:\Download\social_network\email-EuAll.txt\Email-EuAll.txt"
def preData():
G=nx.read_edgelist(edgeList)
size=len(nx.nodes(G))
edges=G.edges()
... | 0 | 0 | 0 | 0 | 0 | 362 | 0 | -3 | 91 |
b354366964326c28298b5df2359a7e3a90e05396 | 626 | py | Python | Depreciated/Bridge/main.py | lightTuring/chess-ai | c22cfcdf6e7c8b464a33b7291b3143e878a7c6d3 | [
"MIT"
] | 6 | 2020-03-06T12:54:03.000Z | 2020-12-27T15:08:44.000Z | Depreciated/Bridge/main.py | SageScroll18144/Last-chess-ai | b9567f1b0d52eb72ce05846f5e707f0f33aba1e0 | [
"MIT"
] | null | null | null | Depreciated/Bridge/main.py | SageScroll18144/Last-chess-ai | b9567f1b0d52eb72ce05846f5e707f0f33aba1e0 | [
"MIT"
] | 2 | 2020-03-28T01:46:09.000Z | 2020-09-21T19:01:33.000Z | import Client as client
import communication_serial as little_board
#it's just an example. Change please the name mainly for job with SO Windown and Linux
name_board = '/dev/ttyUSB0'
value_of_baudRate= 9600
b = little_board.Board(name_board, value_of_baudRate)
b.begin()
while True:
#receiving the command
mo... | 24.076923 | 86 | 0.693291 | import Client as client
import communication_serial as little_board
#it's just an example. Change please the name mainly for job with SO Windown and Linux
name_board = '/dev/ttyUSB0'
value_of_baudRate= 9600
b = little_board.Board(name_board, value_of_baudRate)
b.begin()
while True:
#receiving the command
mo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7f6368aa495ec0f1f1495e9e603aa1b1fc1d0254 | 3,591 | py | Python | schooner/db/assistant/CourseAssistant.py | Jasata/utu-schooner | fc6f23c843160dcc2549762580fb31d6388cd042 | [
"MIT"
] | null | null | null | schooner/db/assistant/CourseAssistant.py | Jasata/utu-schooner | fc6f23c843160dcc2549762580fb31d6388cd042 | [
"MIT"
] | null | null | null | schooner/db/assistant/CourseAssistant.py | Jasata/utu-schooner | fc6f23c843160dcc2549762580fb31d6388cd042 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Schooner - Course Management System
# University of Turku / Faculty of Technilogy / Department of Computing
# (c) 2021, Jani Tammi <jasata@utu.fi>
#
# CourseAssistant.py - Data dictionary class for assistant.assistant
# 2021-09-06 Initial version.
#
#
# Consider thi... | 32.944954 | 230 | 0.495127 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Schooner - Course Management System
# University of Turku / Faculty of Technilogy / Department of Computing
# (c) 2021, Jani Tammi <jasata@utu.fi>
#
# CourseAssistant.py - Data dictionary class for assistant.assistant
# 2021-09-06 Initial version.
#
#
# Consider thi... | 0 | 789 | 0 | 2,399 | 0 | 0 | 0 | 0 | 23 |
be43ec785c623d7a0027dbe8ef59e0e31d16e266 | 555 | py | Python | pokemon_entities/migrations/0006_auto_20200425_1825.py | stikbomb/pokemons_map | bb907d445d2b2f1b9dc0bd518be1188d977b3e0a | [
"MIT"
] | null | null | null | pokemon_entities/migrations/0006_auto_20200425_1825.py | stikbomb/pokemons_map | bb907d445d2b2f1b9dc0bd518be1188d977b3e0a | [
"MIT"
] | 5 | 2020-02-12T02:55:42.000Z | 2022-02-10T13:54:47.000Z | pokemon_entities/migrations/0006_auto_20200425_1825.py | stikbomb/pokemons_map | bb907d445d2b2f1b9dc0bd518be1188d977b3e0a | [
"MIT"
] | null | null | null | # Generated by Django 2.2.3 on 2020-04-25 18:25
| 27.75 | 169 | 0.675676 | # Generated by Django 2.2.3 on 2020-04-25 18:25
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('pokemon_entities', '0005_auto_20200424_2048'),
]
operations = [
migrations.AlterField(
model_na... | 14 | 0 | 0 | 401 | 0 | 0 | 0 | 30 | 68 |
4357b20c796212b704bfa18c32e99d25d0441024 | 176 | py | Python | logquacious/constants.py | tonysyu/logquacious | e1c9b2079c14d84e6aeb05f39e1fe18ee1ada646 | [
"MIT"
] | 35 | 2018-10-08T01:34:10.000Z | 2021-04-01T07:30:44.000Z | logquacious/constants.py | tonysyu/logquacious | e1c9b2079c14d84e6aeb05f39e1fe18ee1ada646 | [
"MIT"
] | 12 | 2018-10-04T02:02:03.000Z | 2019-05-07T23:30:47.000Z | logquacious/constants.py | tonysyu/logquacious | e1c9b2079c14d84e6aeb05f39e1fe18ee1ada646 | [
"MIT"
] | 2 | 2018-10-07T20:55:42.000Z | 2019-12-13T07:38:17.000Z | import logging
LOG_LEVEL_NAMES = [
'DEBUG',
'INFO',
'WARNING',
'ERROR',
'CRITICAL',
]
LOG_LEVELS = {getattr(logging, name) for name in LOG_LEVEL_NAMES}
| 12.571429 | 65 | 0.619318 | import logging
LOG_LEVEL_NAMES = [
'DEBUG',
'INFO',
'WARNING',
'ERROR',
'CRITICAL',
]
LOG_LEVELS = {getattr(logging, name) for name in LOG_LEVEL_NAMES}
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
747d56d9ae67b96f74dd8d63d62425cb56173490 | 4,766 | py | Python | TranskribusDU/graph/pkg_GraphBinaryConjugateSegmenter/GraphBinaryConjugateSegmenter_DOM.py | Transkribus/TranskribusDU | 61028ee5f5f39f435bf9c461f8073e75bca344ac | [
"BSD-3-Clause"
] | 20 | 2017-01-24T20:08:25.000Z | 2021-10-30T15:20:44.000Z | TranskribusDU/graph/pkg_GraphBinaryConjugateSegmenter/GraphBinaryConjugateSegmenter_DOM.py | Transkribus/TranskribusDU | 61028ee5f5f39f435bf9c461f8073e75bca344ac | [
"BSD-3-Clause"
] | 11 | 2017-06-27T11:41:42.000Z | 2020-10-12T04:59:25.000Z | TranskribusDU/graph/pkg_GraphBinaryConjugateSegmenter/GraphBinaryConjugateSegmenter_DOM.py | Transkribus/TranskribusDU | 61028ee5f5f39f435bf9c461f8073e75bca344ac | [
"BSD-3-Clause"
] | 5 | 2017-01-12T15:55:34.000Z | 2019-10-10T05:13:20.000Z | # -*- coding: utf-8 -*-
"""
Train, test, predict steps for a graph-based model using a binary conjugate
(two classes on the primal edges)
Structured machine learning, currently using graph-CRF or Edge Convolution Network
Copyright NAVER(C) 2019 JL. Meunier
Developed for the EU proje... | 40.389831 | 98 | 0.560638 | # -*- coding: utf-8 -*-
"""
Train, test, predict steps for a graph-based model using a binary conjugate
(two classes on the primal edges)
Structured machine learning, currently using graph-CRF or Edge Convolution Network
Copyright NAVER(C) 2019 JL. Meunier
Developed for the EU proje... | 3 | 0 | 0 | 4,033 | 0 | 0 | 0 | 98 | 114 |
86cdb864d54ab430074eaeee59b02f1c3dec3f74 | 837 | py | Python | invenio_requests/records/models.py | fenekku/invenio-requests | 132451d9ac99e63512fb4920003f5eff42b115c7 | [
"MIT"
] | null | null | null | invenio_requests/records/models.py | fenekku/invenio-requests | 132451d9ac99e63512fb4920003f5eff42b115c7 | [
"MIT"
] | null | null | null | invenio_requests/records/models.py | fenekku/invenio-requests | 132451d9ac99e63512fb4920003f5eff42b115c7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 TU Wien.
#
# Invenio-Requests is free software; you can redistribute it and/or modify
# it under the terms of the MIT License; see LICENSE file for more details.
"""Base classes for requests in Invenio."""
| 27.9 | 75 | 0.749104 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 TU Wien.
#
# Invenio-Requests is free software; you can redistribute it and/or modify
# it under the terms of the MIT License; see LICENSE file for more details.
"""Base classes for requests in Invenio."""
import abc
import uuid
from datetime import datetime
from inveni... | 0 | 0 | 0 | 386 | 0 | 0 | 0 | 39 | 157 |
ec3abe19d2bdd3e1cabdc54e2cd35a2cad34bb4e | 4,743 | py | Python | pybots/src/environments/earth.py | aivian/robots | 6827886916e36432ce1d806f0a78edef6c9270d9 | [
"MIT"
] | null | null | null | pybots/src/environments/earth.py | aivian/robots | 6827886916e36432ce1d806f0a78edef6c9270d9 | [
"MIT"
] | null | null | null | pybots/src/environments/earth.py | aivian/robots | 6827886916e36432ce1d806f0a78edef6c9270d9 | [
"MIT"
] | 1 | 2021-09-24T17:08:30.000Z | 2021-09-24T17:08:30.000Z | import environments.atmosphere as atmosphere
constants = {
'g0': 9.80665, #NIST http://physics.nist.gov/Pubs/SP330/sp330.pdf
'm': 5.972365e24, #wgs84
'a': 6378137.00, #wgs84
'omega': 7292115e-10, #wgs84
'r0': 6356766.0, #USSA 1976
'air': {
'M': 28.9644, #USSA 1976
'Cp': 1005.7,
... | 26.20442 | 70 | 0.481552 | import numpy
import environments.atmosphere as atmosphere
constants = {
'g0': 9.80665, #NIST http://physics.nist.gov/Pubs/SP330/sp330.pdf
'm': 5.972365e24, #wgs84
'a': 6378137.00, #wgs84
'omega': 7292115e-10, #wgs84
'r0': 6356766.0, #USSA 1976
'air': {
'M': 28.9644, #USSA 1976
'... | 0 | 0 | 0 | 4,142 | 0 | 0 | 0 | -9 | 45 |
932f89c3759d0c71f0ee43b7b3b8c53f43b64783 | 292 | py | Python | app/orders/admin.py | gurnitha/2022-django4-marketplace-jfu | 9d59c405c7a9ddf15ccf2056ee3882f4674b99d8 | [
"Unlicense"
] | null | null | null | app/orders/admin.py | gurnitha/2022-django4-marketplace-jfu | 9d59c405c7a9ddf15ccf2056ee3882f4674b99d8 | [
"Unlicense"
] | null | null | null | app/orders/admin.py | gurnitha/2022-django4-marketplace-jfu | 9d59c405c7a9ddf15ccf2056ee3882f4674b99d8 | [
"Unlicense"
] | null | null | null | # app/order/admin.py
# Django modules
# Locals
# Register your models here.
| 14.6 | 43 | 0.773973 | # app/order/admin.py
# Django modules
from django.contrib import admin
# Locals
from app.orders.models import Orders, Sales
# Register your models here.
@admin.register(Orders)
class OrdersAdmin(admin.ModelAdmin):
pass
@admin.register(Sales)
class SalesAdmin(admin.ModelAdmin):
pass
| 0 | 88 | 0 | 0 | 0 | 0 | 0 | 33 | 90 |
c939123dae5925d1727a371174a5cad011e134d1 | 158 | py | Python | CodeChef/LONG/SEPT15/Problem D/gen.py | VastoLorde95/Competitive-Programming | 6c990656178fb0cd33354cbe5508164207012f24 | [
"MIT"
] | 170 | 2017-07-25T14:47:29.000Z | 2022-01-26T19:16:31.000Z | CodeChef/LONG/SEPT15/Problem D/gen.py | navodit15/Competitive-Programming | 6c990656178fb0cd33354cbe5508164207012f24 | [
"MIT"
] | null | null | null | CodeChef/LONG/SEPT15/Problem D/gen.py | navodit15/Competitive-Programming | 6c990656178fb0cd33354cbe5508164207012f24 | [
"MIT"
] | 55 | 2017-07-28T06:17:33.000Z | 2021-10-31T03:06:22.000Z | t = 5
n = 8
print t
for _ in xrange(t):
x = randrange(1,n+1)
print x
for _ in xrange(x):
print randrange(-50,51), randrange(-50,51)
| 15.8 | 44 | 0.64557 | from random import *
t = 5
n = 8
print t
for _ in xrange(t):
x = randrange(1,n+1)
print x
for _ in xrange(x):
print randrange(-50,51), randrange(-50,51)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -1 | 22 |
cf33ba68402f8ab63963def8be8bb71bce36a165 | 2,247 | py | Python | aoc/event2016/day24/solve.py | rjbatista/AoC | 5c6ca4bcb376c24ec730eb12fd7044f5326ee473 | [
"MIT"
] | null | null | null | aoc/event2016/day24/solve.py | rjbatista/AoC | 5c6ca4bcb376c24ec730eb12fd7044f5326ee473 | [
"MIT"
] | null | null | null | aoc/event2016/day24/solve.py | rjbatista/AoC | 5c6ca4bcb376c24ec730eb12fd7044f5326ee473 | [
"MIT"
] | null | null | null |
########
# PART 1
example = read_input("event2016/day24/example.txt")
assert solve_for(example, False) == 14
p1 = read_input("event2016/day24/input.txt")
answer = solve_for(p1, False)
print("Part 1 =", answer)
assert answer == 502 # check with accepted answer
########
# PART 2
#print(solve_for(example, True)... | 22.928571 | 76 | 0.559413 | from collections import deque
import itertools
########
# PART 1
def read_input(fn):
f = open(fn)
inp_map = []
for line in f:
inp_map += [line.strip()]
f.close()
return inp_map
def find_all_in_map(inp_map):
return [(inp_map[y][x], x, y)
for y in range(len(inp_map))
... | 0 | 0 | 0 | 0 | 0 | 1,658 | 0 | 3 | 159 |
c43afd2078bd199ad9119099ea30b35e7c3322dd | 7,071 | py | Python | tests/test_default_utils.py | OrtnerMichael/magPyLib | 4c7e7f56f6e0b915ec0e024c172c460fa80126e5 | [
"BSD-2-Clause"
] | null | null | null | tests/test_default_utils.py | OrtnerMichael/magPyLib | 4c7e7f56f6e0b915ec0e024c172c460fa80126e5 | [
"BSD-2-Clause"
] | null | null | null | tests/test_default_utils.py | OrtnerMichael/magPyLib | 4c7e7f56f6e0b915ec0e024c172c460fa80126e5 | [
"BSD-2-Clause"
] | null | null | null | from copy import deepcopy
import pytest
from magpylib._src.defaults.defaults_utility import get_defaults_dict
from magpylib._src.defaults.defaults_utility import linearize_dict
from magpylib._src.defaults.defaults_utility import magic_to_dict
from magpylib._src.defaults.defaults_utility import MagicProperties
from mag... | 31.566964 | 87 | 0.585631 | from copy import deepcopy
import pytest
from magpylib._src.defaults.defaults_utility import color_validator
from magpylib._src.defaults.defaults_utility import COLORS_MATPLOTLIB_TO_PLOTLY
from magpylib._src.defaults.defaults_utility import get_defaults_dict
from magpylib._src.defaults.defaults_utility import lineariz... | 0 | 1,584 | 0 | 206 | 0 | 0 | 0 | 104 | 145 |
79b30bb49e058a0fbe239b31541334e1941aadbe | 919 | py | Python | Algorithms/MergeSort/merge_sort.py | ParthMandaliya/data-structures-algorithms | 6d6ed40f461598a6b7f4a909ca3e017d699967be | [
"MIT"
] | null | null | null | Algorithms/MergeSort/merge_sort.py | ParthMandaliya/data-structures-algorithms | 6d6ed40f461598a6b7f4a909ca3e017d699967be | [
"MIT"
] | null | null | null | Algorithms/MergeSort/merge_sort.py | ParthMandaliya/data-structures-algorithms | 6d6ed40f461598a6b7f4a909ca3e017d699967be | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
test_cases = [
[10, 3, 15, 7, 8, 23, 98, 29],
[],
[3],
[9,8,7,2],
[1,2,3,4,5]
]
for arr in test_cases:
merge_sort(arr)
print("Sorted:", arr) | 18.38 | 44 | 0.453754 | def merge_sort(arr):
if len(arr) <= 1:
return
midpoint = len(arr) // 2
left = arr[:midpoint]
right = arr[midpoint:]
merge_sort(left)
merge_sort(right)
merge_sorted_arrays(arr, left, right)
def merge_sorted_arrays(data, arr_1, arr_2):
len_a = len(arr_1)
len_b = len(arr_2)... | 0 | 0 | 0 | 0 | 0 | 637 | 0 | 0 | 45 |
7bca3e1d9c7cb23f015b9461165411dc1986cfab | 480 | py | Python | rdisq/payload.py | gregie156/rdisq | bed3028997f7f64d956b2731437febfc5f2d0061 | [
"MIT"
] | 1 | 2015-09-08T06:12:14.000Z | 2015-09-08T06:12:14.000Z | rdisq/payload.py | gregie156/rdisq | bed3028997f7f64d956b2731437febfc5f2d0061 | [
"MIT"
] | null | null | null | rdisq/payload.py | gregie156/rdisq | bed3028997f7f64d956b2731437febfc5f2d0061 | [
"MIT"
] | 2 | 2016-12-16T10:17:39.000Z | 2020-06-13T14:37:57.000Z | __author__ = 'smackware'
from collections import namedtuple
if TYPE_CHECKING:
RequestPayload = namedtuple("RequestPayload", "task_id timeout args kwargs")
| 21.818182 | 76 | 0.766667 | __author__ = 'smackware'
from typing import *
from collections import namedtuple
if TYPE_CHECKING:
from rdisq.consts import ServiceUid
RequestPayload = namedtuple("RequestPayload", "task_id timeout args kwargs")
class SessionResult(NamedTuple):
result: Any
session_data: Dict
class ResponsePayload(Name... | 0 | 0 | 0 | 214 | 0 | 0 | 0 | 13 | 95 |
40bd680bab1cc9a4333b4bde8b530e97d177422e | 23,339 | py | Python | sympy/polys/groebnertools.py | skieffer/sympy | 23ab5c14881aef21409918939e0c8b78b7fcb06f | [
"BSD-3-Clause"
] | 1 | 2021-08-06T07:38:42.000Z | 2021-08-06T07:38:42.000Z | sympy/polys/groebnertools.py | Nbede/sympy | 2ead5bfe4716c36e1c0839c25aa6dc87cd85b0f2 | [
"BSD-3-Clause"
] | 5 | 2021-09-14T07:51:13.000Z | 2021-11-20T19:19:11.000Z | sympy/polys/groebnertools.py | sonntagsgesicht/sympy | fd94b018b0266fa9a04f463218a0d424ee11ae10 | [
"BSD-3-Clause"
] | null | null | null | """Groebner bases algorithms. """
from sympy.core.symbol import Dummy
from sympy.polys.monomials import monomial_mul, monomial_lcm, monomial_divides, term_div
from sympy.polys.orderings import lex
from sympy.polys.polyerrors import DomainError
from sympy.polys.polyconfig import query
def groebner(seq, ring, method=N... | 27.044032 | 116 | 0.550666 | """Groebner bases algorithms. """
from sympy.core.symbol import Dummy
from sympy.polys.monomials import monomial_mul, monomial_lcm, monomial_divides, term_div
from sympy.polys.orderings import lex
from sympy.polys.polyerrors import DomainError
from sympy.polys.polyconfig import query
def groebner(seq, ring, method=N... | 0 | 0 | 0 | 0 | 0 | 2,528 | 0 | 0 | 223 |
e198e9392bb93769a0a278cb30af5cc8e2c8addc | 2,143 | py | Python | benchmark/generate_benchmark.py | pablocael/vptree-cpp | ba979fe452b9d05d45e4c09a26dfbed64095c303 | [
"MIT"
] | 8 | 2021-11-28T05:38:01.000Z | 2022-03-08T17:02:53.000Z | benchmark/generate_benchmark.py | pablocael/vptree-cpp | ba979fe452b9d05d45e4c09a26dfbed64095c303 | [
"MIT"
] | null | null | null | benchmark/generate_benchmark.py | pablocael/vptree-cpp | ba979fe452b9d05d45e4c09a26dfbed64095c303 | [
"MIT"
] | null | null | null | import json
import matplotlib.pyplot as plt
from matplotlib.ticker import StrMethodFormatter
faiss_l2_data = None
with open("benchmark/results/faiss_l2_test_result.json", "r") as read_file:
faiss_l2_data = json.load(read_file)
pyvptree_l2_data = None
with open("benchmark/results/pyvptree_l2_test_result.json", "r"... | 40.433962 | 88 | 0.70322 | import json
import matplotlib.pyplot as plt
from matplotlib.ticker import StrMethodFormatter
faiss_l2_data = None
with open("benchmark/results/faiss_l2_test_result.json", "r") as read_file:
faiss_l2_data = json.load(read_file)
pyvptree_l2_data = None
with open("benchmark/results/pyvptree_l2_test_result.json", "r"... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2c0a76fe361fe122ffb1f789a8d5422b5892cea3 | 2,999 | py | Python | webserver_pkg/webserver_pkg/webserver.py | jsspric/aws-deepracer-webserver-pkg | 0bf008684ab54d3c47225554abdf5efc7362d59a | [
"Apache-2.0"
] | 53 | 2021-04-27T20:15:06.000Z | 2022-03-16T07:37:00.000Z | deepracer_follow_the_leader_ws/webserver_pkg/webserver_pkg/webserver.py | amitjain-3/add_deepracer | e100e1c40530d436eab0479c7b706d967bf61963 | [
"Apache-2.0"
] | 1 | 2021-04-18T11:47:17.000Z | 2021-04-18T11:47:17.000Z | deepracer_follow_the_leader_ws/webserver_pkg/webserver_pkg/webserver.py | amitjain-3/add_deepracer | e100e1c40530d436eab0479c7b706d967bf61963 | [
"Apache-2.0"
] | 23 | 2021-04-15T15:52:57.000Z | 2022-03-07T16:53:40.000Z | #!/usr/bin/env python
#################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# #
# Licensed under the Apache License, Version 2.0 ... | 46.138462 | 87 | 0.663555 | #!/usr/bin/env python
#################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# #
# Licensed under the Apache License, Version 2.0 ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b4f2aae2ac15c371539c072830aec294427e16a4 | 849 | py | Python | bot/client.py | drmhdh/drpdf2img | 1228587403ad195b450d44169db1f7ad8570d0e0 | [
"Apache-2.0"
] | 1 | 2022-01-12T11:40:00.000Z | 2022-01-12T11:40:00.000Z | bot/client.py | drmhdh/drpdf2img | 1228587403ad195b450d44169db1f7ad8570d0e0 | [
"Apache-2.0"
] | null | null | null | bot/client.py | drmhdh/drpdf2img | 1228587403ad195b450d44169db1f7ad8570d0e0 | [
"Apache-2.0"
] | null | null | null | # (c) @AbirHasan2005
from configs import Config
LOGGER = Config.LOGGER
log = LOGGER.getLogger(__name__)
#class Client(RawClient, New):
app = Bot()
app.run()
| 21.225 | 70 | 0.597173 | # (c) @AbirHasan2005
from typing import Union
from pyromod import listen
from pyrogram import Client
from pyrogram.storage import Storage
from configs import Config
LOGGER = Config.LOGGER
log = LOGGER.getLogger(__name__)
#class Client(RawClient, New):
class Bot(Client):
""" Custom Bot Class """
def _... | 0 | 0 | 133 | 406 | 0 | 0 | 0 | 29 | 111 |
ecc92abed6487dd674785afd61f4d362fd24e530 | 958 | py | Python | code/intro-first-day-numpy-stats.py | Vegpathology/phyto-data-viz | 8a6047de30b48932b73f287930520bb4ea7c7b9d | [
"CC-BY-4.0"
] | 60 | 2015-08-21T12:00:46.000Z | 2022-02-22T01:26:41.000Z | code/intro-first-day-numpy-stats.py | Vegpathology/phyto-data-viz | 8a6047de30b48932b73f287930520bb4ea7c7b9d | [
"CC-BY-4.0"
] | 560 | 2015-08-17T20:39:52.000Z | 2022-02-04T15:45:04.000Z | code/intro-first-day-numpy-stats.py | Vegpathology/phyto-data-viz | 8a6047de30b48932b73f287930520bb4ea7c7b9d | [
"CC-BY-4.0"
] | 134 | 2015-08-17T13:19:08.000Z | 2022-03-11T11:56:25.000Z | """Example for first day of class in Intro"""
import urllib2
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm
url = "http://esapubs.org/archive/ecol/E084/093/Mammal_lifehistories_v2.txt"
web_data = urllib2.urlopen(url)
data = np.genfromtxt(web_data, delimiter='\t', names=True, dtype=Non... | 34.214286 | 85 | 0.651357 | """Example for first day of class in Intro"""
import urllib2
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.api as sm
url = "http://esapubs.org/archive/ecol/E084/093/Mammal_lifehistories_v2.txt"
web_data = urllib2.urlopen(url)
data = np.genfromtxt(web_data, delimiter='\t', n... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
d4f813850eadc9d14756d50ae6856fb1254b3536 | 14,407 | py | Python | pysnmp-with-texts/BAY-STACK-NES-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/BAY-STACK-NES-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/BAY-STACK-NES-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 BAY-STACK-NES-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/BAY-STACK-NES-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:35:52 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 123.136752 | 1,594 | 0.791351 | #
# PySNMP MIB module BAY-STACK-NES-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/BAY-STACK-NES-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:35:52 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
71202936db12d7b8c80f38f79e67c9749fbd6fb2 | 1,973 | py | Python | utils/blur_utils.py | gistvision/DIPsureWithSTE | 853faac97a451e6430b47f4d4da54c6d08a7ee50 | [
"MIT"
] | 25 | 2021-09-06T06:56:32.000Z | 2022-03-23T01:12:23.000Z | utils/blur_utils.py | scott-mao/DIP-denosing | 853faac97a451e6430b47f4d4da54c6d08a7ee50 | [
"MIT"
] | 1 | 2021-11-19T12:14:53.000Z | 2021-11-22T14:03:57.000Z | utils/blur_utils.py | scott-mao/DIP-denosing | 853faac97a451e6430b47f4d4da54c6d08a7ee50 | [
"MIT"
] | 5 | 2021-10-18T13:35:03.000Z | 2022-03-08T09:34:55.000Z |
# - blur image - exactly like the NCSR is doing it -
# - the inverse function H -
| 36.537037 | 102 | 0.596047 | from .REDutils import *
from models.downsampler import Downsampler
# - blur image - exactly like the NCSR is doing it -
def get_fft_h(im, blur_type):
assert blur_type in ['uniform_blur', 'gauss_blur'], "blur_type can be or 'uniform' or 'gauss'"
ch, h, w = im.shape
fft_h = np.zeros((h,w),)
if blur_... | 0 | 0 | 0 | 0 | 0 | 1,728 | 0 | 23 | 134 |
044d9645872171b69747d53cab00b77ba53b77b2 | 101 | py | Python | photologue/__init__.py | anderdl/test2repo | 0b615c901066da60369a01ab77914f5f682ed49d | [
"BSD-3-Clause"
] | null | null | null | photologue/__init__.py | anderdl/test2repo | 0b615c901066da60369a01ab77914f5f682ed49d | [
"BSD-3-Clause"
] | null | null | null | photologue/__init__.py | anderdl/test2repo | 0b615c901066da60369a01ab77914f5f682ed49d | [
"BSD-3-Clause"
] | null | null | null | import os
__version__ = '3.2.dev0'
PHOTOLOGUE_APP_DIR = os.path.dirname(os.path.abspath(__file__))
| 16.833333 | 63 | 0.762376 | import os
__version__ = '3.2.dev0'
PHOTOLOGUE_APP_DIR = os.path.dirname(os.path.abspath(__file__))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
686f061b79d0d573a7a30ab893175a624fdacc68 | 7,620 | py | Python | src/generate-plot-images.py | BooleanJulien/Stock-Price-Trend-Volatility-Analysis | b8b99167d0aed1a71eadd4be64d186660c92d4ef | [
"MIT"
] | 1 | 2021-12-01T21:43:12.000Z | 2021-12-01T21:43:12.000Z | src/generate-plot-images.py | BooleanJulien/Stock-Price-Trend-Volatility-Analysis | b8b99167d0aed1a71eadd4be64d186660c92d4ef | [
"MIT"
] | 17 | 2021-11-18T23:49:24.000Z | 2021-12-10T20:08:45.000Z | src/generate-plot-images.py | BooleanJulien/Stock-Price-Trend-Volatility-Analysis | b8b99167d0aed1a71eadd4be64d186660c92d4ef | [
"MIT"
] | 7 | 2021-11-19T01:00:12.000Z | 2021-12-11T02:13:24.000Z | # author : Group 30 - Block 3 - MDS UBC
# date : 2021-11-19
"""Collects a .csv file containing the stocks price and trends volatility data and generates a number of volatility plots.
Usage: generate-plot-images.py --in_file=<in_file> --out_folder=<out_folder>
Options:
--in_file=<in_file> Path (including file... | 34.324324 | 136 | 0.624803 | # author : Group 30 - Block 3 - MDS UBC
# date : 2021-11-19
"""Collects a .csv file containing the stocks price and trends volatility data and generates a number of volatility plots.
Usage: generate-plot-images.py --in_file=<in_file> --out_folder=<out_folder>
Options:
--in_file=<in_file> Path (including file... | 0 | 0 | 0 | 0 | 0 | 6,924 | 0 | -15 | 90 |
3fe135e9a0a389c39b5f3a85cc529a9aa1bce14c | 12,689 | py | Python | model/specs.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | model/specs.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | model/specs.py | SamuelBrand1/covid-19-in-households-public | a0740d85f8f9fb1ae67dbd9c5a92f1085e4d9ea1 | [
"Apache-2.0"
] | null | null | null | '''Module containing model specifications'''
from numpy import arange, array, ones
TWO_AGE_SIR_SPEC = {
'compartmental_structure': 'SIR', # This is which subsystem key to use
'AR': 0.45, # Secondary attack probability
'R*': 1.1, # Household-level reproduction number... | 49.373541 | 131 | 0.56214 | '''Module containing model specifications'''
from copy import deepcopy
from numpy import arange, array, multiply, ones
from numpy.random import rand
def draw_random_two_age_SEPIR_specs(spec,
AR_pars = [0.25, 0.75],
rec_pars = [1, 7],
inc_pars = [1, 10]... | 0 | 0 | 0 | 0 | 0 | 1,935 | 0 | 22 | 68 |
dc05fd132a552d5ef9c0f6e5504f72274bb33d6b | 8,567 | py | Python | aws_deploy_package/twilio/rest/preview/understand/assistant/dialogue.py | anandhakrishnanh1998/Twilio-Chat-Bot | bb5cb02e363deb4c31a24cae6b0fd0b893ef2e20 | [
"MIT"
] | 1 | 2020-01-18T08:06:57.000Z | 2020-01-18T08:06:57.000Z | aws_deploy_package/twilio/rest/preview/understand/assistant/dialogue.py | anandhakrishnanh1998/Twilio-Chat-Bot | bb5cb02e363deb4c31a24cae6b0fd0b893ef2e20 | [
"MIT"
] | 9 | 2019-12-05T00:49:12.000Z | 2021-09-08T01:31:25.000Z | flask/lib/python3.6/site-packages/twilio/rest/preview/understand/assistant/dialogue.py | JOFLIX/grapevines | 34576e01184570d79cc140b42ffb71d322132da6 | [
"MIT",
"Unlicense"
] | null | null | null | # coding=utf-8
r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
| 32.086142 | 104 | 0.639197 | # coding=utf-8
r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import InstanceResource
from twilio.base.list_resource import ListResource
f... | 0 | 1,363 | 0 | 6,755 | 0 | 0 | 0 | 122 | 203 |
0dae17a9b08e674302b907d4366c72baa27bc2f7 | 1,244 | py | Python | src/utils.py | nik7273/computational-medical-knowledge | 03357fc63382bed49509d7860f87a3d010f03018 | [
"Apache-2.0"
] | null | null | null | src/utils.py | nik7273/computational-medical-knowledge | 03357fc63382bed49509d7860f87a3d010f03018 | [
"Apache-2.0"
] | null | null | null | src/utils.py | nik7273/computational-medical-knowledge | 03357fc63382bed49509d7860f87a3d010f03018 | [
"Apache-2.0"
] | 1 | 2019-09-17T18:38:44.000Z | 2019-09-17T18:38:44.000Z | # -*- coding: utf-8 -*-
#UTILITIES
import nltk
import string
from nltk.corpus import stopwords
'''
def jaccard(file1, file2):
lst1 = set(open(file1,'rb').read().splitlines())
lst2 = set(open(file2,'rb').read().splitlines())
return float(len(lst1 & lst2))/len(lst1 | lst2)
'''
def filestream_to_word_list(fs... | 34.555556 | 104 | 0.700161 | # -*- coding: utf-8 -*-
#UTILITIES
import nltk
import string
from nltk.collocations import *
from nltk.corpus import stopwords
def bigramFinder(FileA):
bigram_measures = nltk.collocations.BigramAssocMeasures()
with open(FileA,'rb') as infile:
finder = BigramCollocationFinder.from_words(nltk.word_token... | 0 | 0 | 0 | 0 | 0 | 349 | 0 | 10 | 69 |
3b1001e5bc45e0e211fae92d8fa151d660204e82 | 79 | py | Python | tests/__init__.py | CSIRO-enviro-informatics/pyproms | 40b320bdff4e41c3195a50b13695bbfb0bfa1548 | [
"MIT"
] | 1 | 2019-04-10T00:31:52.000Z | 2019-04-10T00:31:52.000Z | tests/__init__.py | CSIRO-enviro-informatics/pyproms | 40b320bdff4e41c3195a50b13695bbfb0bfa1548 | [
"MIT"
] | 4 | 2018-05-02T04:54:22.000Z | 2018-05-04T00:39:14.000Z | tests/__init__.py | CSIRO-enviro-informatics/pyproms | 40b320bdff4e41c3195a50b13695bbfb0bfa1548 | [
"MIT"
] | 3 | 2018-05-04T02:07:31.000Z | 2019-01-02T11:36:24.000Z | import tests.activity_tests
import tests.entity_tests | 26.333333 | 27 | 0.898734 | import tests.activity_tests
import tests.entity_tests
import tests.report_tests | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 22 |
00e036a2e9e4848bfc6909904585adc083f144c9 | 9,510 | py | Python | service/tests/unittests/testEndpoints.py | ehenneken/test_app | a619c2c860754b53488e64c06cfbfc2664299bec | [
"MIT"
] | 1 | 2020-04-10T08:02:16.000Z | 2020-04-10T08:02:16.000Z | service/tests/unittests/testEndpoints.py | ehenneken/test_app | a619c2c860754b53488e64c06cfbfc2664299bec | [
"MIT"
] | null | null | null | service/tests/unittests/testEndpoints.py | ehenneken/test_app | a619c2c860754b53488e64c06cfbfc2664299bec | [
"MIT"
] | null | null | null | import sys
import os
PROJECT_HOME = os.path.abspath(
os.path.join(os.path.dirname(__file__), '../../'))
sys.path.append(PROJECT_HOME)
| 42.837838 | 143 | 0.614406 | import sys
import os
PROJECT_HOME = os.path.abspath(
os.path.join(os.path.dirname(__file__), '../../'))
sys.path.append(PROJECT_HOME)
from flask.ext.testing import TestCase
from flask import request
from flask import url_for, Flask
import unittest
import requests
import time
import app
import json
import httpretty
... | 0 | 8,758 | 0 | 409 | 0 | 0 | 0 | -16 | 221 |
a2796c3aade7103209bf5d592dbfbaca6f469c90 | 6,563 | py | Python | lectures/extensions/hyperbolic_discounting/replication_code/.mywaflib/waflib/extras/cross_gnu.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 4 | 2019-11-15T15:21:27.000Z | 2020-07-08T15:04:30.000Z | lectures/extensions/hyperbolic_discounting/replication_code/.mywaflib/waflib/extras/cross_gnu.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 9 | 2019-11-18T15:54:36.000Z | 2020-07-14T13:56:53.000Z | lectures/extensions/hyperbolic_discounting/replication_code/.mywaflib/waflib/extras/cross_gnu.py | loikein/ekw-lectures | a2f5436f10515ab26eab323fca8c37c91bdc5dcd | [
"MIT"
] | 3 | 2021-01-25T15:41:30.000Z | 2021-09-21T08:51:36.000Z | #!/usr/bin/python
# Tool to provide dedicated variables for cross-compilation
__author__ = __maintainer__ = "Jrme Carretero <cJ-waf@zougloub.eu>"
__copyright__ = "Jrme Carretero, 2014"
"""
This tool allows to use environment variables to define cross-compilation
variables intended for build variants.
The variables a... | 27.809322 | 105 | 0.631114 | #!/usr/bin/python
# Tool to provide dedicated variables for cross-compilation
__author__ = __maintainer__ = "Jérôme Carretero <cJ-waf@zougloub.eu>"
__copyright__ = "Jérôme Carretero, 2014"
"""
This tool allows to use environment variables to define cross-compilation
variables intended for build variants.
The variabl... | 8 | 3,402 | 0 | 0 | 0 | 0 | 0 | 19 | 185 |
e0f948f04ea77bcc9d721f76ddae345a6a6f2dbd | 7,249 | py | Python | CommandMsg.py | aalhag24/Networking-Group-Chat-Application | 11ebda971cdf9c749696d2e2a493be7f546584e4 | [
"MIT"
] | null | null | null | CommandMsg.py | aalhag24/Networking-Group-Chat-Application | 11ebda971cdf9c749696d2e2a493be7f546584e4 | [
"MIT"
] | null | null | null | CommandMsg.py | aalhag24/Networking-Group-Chat-Application | 11ebda971cdf9c749696d2e2a493be7f546584e4 | [
"MIT"
] | null | null | null | #
# This class is automatically generated by mig. DO NOT EDIT THIS FILE.
# This class implements a Python interface to the 'CommandMsg'
# message type.
#
# The default size of this message type in bytes.
DEFAULT_MESSAGE_SIZE = 28
# The Active Message type associated with this message.
AM_TYPE = 99
| 24.407407 | 96 | 0.562009 | #
# This class is automatically generated by mig. DO NOT EDIT THIS FILE.
# This class implements a Python interface to the 'CommandMsg'
# message type.
#
import tinyos.message.Message
# The default size of this message type in bytes.
DEFAULT_MESSAGE_SIZE = 28
# The Active Message type associated with this message.
A... | 0 | 0 | 0 | 6,889 | 0 | 0 | 0 | 8 | 46 |
2be4f59ac52caf236012d43d60bb65a6124574ae | 2,346 | py | Python | pokemons/migrations/0003_auto_20210124_1754.py | Qmanes/test_mo | f175f3d623d499473d88d2357769a3259b9b7484 | [
"MIT"
] | null | null | null | pokemons/migrations/0003_auto_20210124_1754.py | Qmanes/test_mo | f175f3d623d499473d88d2357769a3259b9b7484 | [
"MIT"
] | null | null | null | pokemons/migrations/0003_auto_20210124_1754.py | Qmanes/test_mo | f175f3d623d499473d88d2357769a3259b9b7484 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.5 on 2021-01-24 17:54
| 35.545455 | 115 | 0.541773 | # Generated by Django 3.1.5 on 2021-01-24 17:54
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('pokemons', '0002_basestat_base_stat'),
]
operations = [
migrations.CreateModel(
name='Ability',... | 0 | 0 | 0 | 2,199 | 0 | 0 | 0 | 30 | 68 |
f7f66c3c0c6462f3632cfe81922054428ced6e5b | 2,026 | py | Python | forms.py | Gilberthtx/AirDash2 | cd2cde4d8f96a517110c130c02e9d859b8739d56 | [
"MIT"
] | null | null | null | forms.py | Gilberthtx/AirDash2 | cd2cde4d8f96a517110c130c02e9d859b8739d56 | [
"MIT"
] | null | null | null | forms.py | Gilberthtx/AirDash2 | cd2cde4d8f96a517110c130c02e9d859b8739d56 | [
"MIT"
] | null | null | null |
# this method will check if the email already exists
'''FORM FOR REGISTERING'''
'''FORM FOR LOGIN'''
'''FORM FOR SEARCH'''
'''FORM TO REMOVE FLIGHT'''
| 20.059406 | 94 | 0.547878 | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, SubmitField
from wtforms.validators import (DataRequired, Regexp, ValidationError, Email, Length, EqualTo)
from models import User
# this method will check if the email already exists
def email_exists(form, field):
if User.select().w... | 0 | 0 | 0 | 1,393 | 0 | 142 | 0 | 123 | 203 |
0c114eeb8fa1e873bbdab8b1633a4c3a221dce34 | 6,792 | py | Python | EfficiencyPlotter.py | anovak10/plots | 235934e6200a8283a210f0dba9de8b4f1f3a7b7a | [
"MIT"
] | null | null | null | EfficiencyPlotter.py | anovak10/plots | 235934e6200a8283a210f0dba9de8b4f1f3a7b7a | [
"MIT"
] | null | null | null | EfficiencyPlotter.py | anovak10/plots | 235934e6200a8283a210f0dba9de8b4f1f3a7b7a | [
"MIT"
] | null | null | null | #
for varname, xmin, xmax in zip(["LepPt","METPt", "TAGPt", "TPRIMEM", "WPt", "lepJetPt","ZPRIMEM"],[50,0,0,0,0,0,200],[500,900,1400,1800,1200,1000,3000])[0:1]:
varplot(varname, xmin, xmax)
| 33.294118 | 284 | 0.672556 | #
import os
import math
from array import array
import optparse
import ROOT
from ROOT import *
import scipy
import Plotting_Header
from Plotting_Header import *
def varplot(varname, xmin, xmax, trigger="3", normed=False, stacked=False):
VAR = [varname, 50, xmin, xmax]
YT = "events / "+str((VAR[3]-VAR[2])/VAR[1])+" G... | 0 | 0 | 0 | 0 | 0 | 6,412 | 0 | -39 | 221 |
fa8e19c6819ac58d9e3bc44cf4fe7bb2f001999c | 393 | py | Python | komoju/api/test.py | shimakaze-git/komoju-py | de4d0f250cbbdf3169c54faf401bd67879dc2849 | [
"MIT"
] | 1 | 2021-04-01T19:47:19.000Z | 2021-04-01T19:47:19.000Z | komoju/api/test.py | shimakaze-git/komoju-py | de4d0f250cbbdf3169c54faf401bd67879dc2849 | [
"MIT"
] | null | null | null | komoju/api/test.py | shimakaze-git/komoju-py | de4d0f250cbbdf3169c54faf401bd67879dc2849 | [
"MIT"
] | null | null | null | from requests.auth import HTTPBasicAuth
import requests
url = "https://komoju.com/api/v1/payments"
user = ""
req = requests.get(url, auth=HTTPBasicAuth(user, ''))
# print(req)
# print(dir(req))
# print(req.text)
payload = {
'amount': 100,
'currency': "test",
'external_order_num': 100
}
print(len(paylo... | 15.72 | 53 | 0.653944 | from requests.auth import HTTPBasicAuth
import requests
url = "https://komoju.com/api/v1/payments"
user = ""
req = requests.get(url, auth=HTTPBasicAuth(user, ''))
# print(req)
# print(dir(req))
# print(req.text)
payload = {
'amount': 100,
'currency': "test",
'external_order_num': 100
}
print(len(paylo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e834eb1668fd41b8847acc3876b6b2fe8f330eaa | 619 | py | Python | pynomalous/learning/predicting.py | marcoDige/Anomalous | 4b9b3a7c27d4b5ea26efa536268859623e73e4dd | [
"Unlicense"
] | 2 | 2020-06-29T17:24:23.000Z | 2021-03-19T00:27:10.000Z | pynomalous/learning/predicting.py | marcoDige/Anomalous | 4b9b3a7c27d4b5ea26efa536268859623e73e4dd | [
"Unlicense"
] | 4 | 2020-11-13T18:56:42.000Z | 2022-02-10T01:54:51.000Z | pynomalous/learning/predicting.py | marcoDige/Anomalous | 4b9b3a7c27d4b5ea26efa536268859623e73e4dd | [
"Unlicense"
] | 2 | 2020-08-30T10:44:04.000Z | 2020-09-07T21:47:24.000Z | """
Contrains functions relative to predicting using the neural networks
"""
import os
from keras.models import load_model
def load_trained_net(mal):
"""
Generates a neural network, loads in the neural network the pretrained weights and returns it
:param mal: the mal the net has to recognize
:param ... | 26.913043 | 97 | 0.720517 | """
Contrains functions relative to predicting using the neural networks
"""
import os
from pynomalous.learning.training import get_model
from keras.models import load_model
def load_trained_net(mal):
"""
Generates a neural network, loads in the neural network the pretrained weights and returns it
:par... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 23 |
83a84811db76dc11fc4356b90e5e712088891aa3 | 9,697 | py | Python | reference/NumpyDL-master/docs/tutorials/cnn_visualization.py | code4bw/deep-np | f477d7d3bd88bae8cea408926b3cc4509f78c9d0 | [
"MIT"
] | 186 | 2017-04-04T07:37:00.000Z | 2021-02-25T11:56:48.000Z | reference/NumpyDL-master/docs/tutorials/cnn_visualization.py | code4bw/deep-np | f477d7d3bd88bae8cea408926b3cc4509f78c9d0 | [
"MIT"
] | 9 | 2017-05-07T12:42:45.000Z | 2019-11-06T19:45:33.000Z | reference/NumpyDL-master/docs/tutorials/cnn_visualization.py | code4bw/deep-np | f477d7d3bd88bae8cea408926b3cc4509f78c9d0 | [
"MIT"
] | 74 | 2017-04-04T06:41:07.000Z | 2021-02-19T12:58:36.000Z | # -*- coding: utf-8 -*-
# start
try:
import tensorflow as tf
import numpy as np
import os
except ImportError:
raise ValueError("Please install tensorflow and matplotlib.")
# start with 0.1 so reLu isnt always 0
# the convolution with padding of 1 on each side, and moves by 1.
# max pooling basi... | 35.520147 | 115 | 0.637723 | # -*- coding: utf-8 -*-
# start
try:
import tensorflow as tf
import numpy as np
import pickle
from tensorflow.python.platform import gfile
from random import randint
import os
from scipy.misc import imsave
from matplotlib import pyplot as plt
except ImportError:
raise ValueError("Pl... | 0 | 0 | 0 | 0 | 0 | 5,651 | 0 | 43 | 333 |
15c14ed10d75974defa377c8a58d058134a55d32 | 639 | py | Python | associator/table_tt_curve.py | SeanMica/PyAPA | 87cfc879108ba3ab30777fbfbb4a624599fb300f | [
"MIT"
] | 4 | 2020-11-19T04:16:37.000Z | 2020-11-21T01:12:54.000Z | associator/table_tt_curve.py | SeanMica/PyAPA | 87cfc879108ba3ab30777fbfbb4a624599fb300f | [
"MIT"
] | null | null | null | associator/table_tt_curve.py | SeanMica/PyAPA | 87cfc879108ba3ab30777fbfbb4a624599fb300f | [
"MIT"
] | null | null | null | from sqlalchemy.ext.declarative import declarative_base
BASE_TT_CURVE=declarative_base() | 31.95 | 77 | 0.622848 | from sqlalchemy import *
from sqlalchemy.ext.declarative import declarative_base
BASE_TT_CURVE=declarative_base()
class TT_CURVE(BASE_TT_CURVE):
__tablename__='TT_C_Table'
id = Column(Integer, primary_key=True)
sta = Column(String(5))
# y = ax+b , where x = s_p time, y = p travel time
... | 0 | 0 | 0 | 502 | 0 | 0 | 0 | 3 | 45 |
7c81f5232e1ca974ff746c9ecaa9b80c31e9f2b0 | 959 | py | Python | parsl/configs/osg.py | aquanauts/parsl | 978bb483a4a41b3cef083aa242b2a78614a02dd0 | [
"Apache-2.0"
] | null | null | null | parsl/configs/osg.py | aquanauts/parsl | 978bb483a4a41b3cef083aa242b2a78614a02dd0 | [
"Apache-2.0"
] | null | null | null | parsl/configs/osg.py | aquanauts/parsl | 978bb483a4a41b3cef083aa242b2a78614a02dd0 | [
"Apache-2.0"
] | null | null | null | from parsl.config import Config
from parsl.providers import CondorProvider
from parsl.executors import HighThroughputExecutor
from parsl.addresses import address_by_query
config = Config(
executors=[
HighThroughputExecutor(
label='OSG_HTEX',
address=address_by_query(),
m... | 35.518519 | 123 | 0.584984 | from parsl.config import Config
from parsl.providers import CondorProvider
from parsl.executors import HighThroughputExecutor
from parsl.addresses import address_by_query
config = Config(
executors=[
HighThroughputExecutor(
label='OSG_HTEX',
address=address_by_query(),
m... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dbeccdcd94431d53cd0cf3c0c804c8da687a9fb8 | 4,404 | py | Python | spikelearn/data/preprocessing.py | EstevaoVieira/spikelearn | 060206558cc37c31493f1c9f01412d90375403cb | [
"MIT"
] | null | null | null | spikelearn/data/preprocessing.py | EstevaoVieira/spikelearn | 060206558cc37c31493f1c9f01412d90375403cb | [
"MIT"
] | null | null | null | spikelearn/data/preprocessing.py | EstevaoVieira/spikelearn | 060206558cc37c31493f1c9f01412d90375403cb | [
"MIT"
] | null | null | null | import scipy.stats as st
import numpy as np
import collections
def kernel_smooth(spike_vector, sigma, edges, bin_size=None, padding='symmetric', border_correction = False):
"""
Receives an array of spike times (point-process like), and smoothes it
by convolving with a _gaussian_ kernel, of width *sigma*. T... | 34.40625 | 131 | 0.662125 | import scipy.stats as st
import numpy as np
import pandas as pd
import collections
def kernel_smooth(spike_vector, sigma, edges, bin_size=None, padding='symmetric', border_correction = False):
"""
Receives an array of spike times (point-process like), and smoothes it
by convolving with a _gaussian_ kernel,... | 0 | 0 | 0 | 0 | 0 | 147 | 0 | -2 | 45 |
a843a9ce3551f2945cc70a5dde57c31a9e77630e | 11,300 | py | Python | alipay/aop/api/domain/AlipayBossFncApbillTotalbillamtQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AlipayBossFncApbillTotalbillamtQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AlipayBossFncApbillTotalbillamtQueryModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
| 34.346505 | 103 | 0.56885 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayBossFncApbillTotalbillamtQueryModel(object):
def __init__(self):
self._ar_no = None
self._bill_invoice_link_statuses = None
self._bill_no = None
self._bill_t... | 0 | 3,881 | 0 | 7,281 | 0 | 0 | 0 | 21 | 68 |
c190f67b1a2e67a9f15643db0be0556bf56a0108 | 1,239 | py | Python | contrail_api_cli_extra/migration/lb.py | Ya-S/contrail-api-cli-extra | 2ebe996523d2eb22991a9078d8997a52ccd1af38 | [
"MIT"
] | 1 | 2020-03-08T12:15:01.000Z | 2020-03-08T12:15:01.000Z | contrail_api_cli_extra/migration/lb.py | Ya-S/contrail-api-cli-extra | 2ebe996523d2eb22991a9078d8997a52ccd1af38 | [
"MIT"
] | 1 | 2017-03-28T09:33:26.000Z | 2017-03-28T10:18:37.000Z | contrail_api_cli_extra/migration/lb.py | Ya-S/contrail-api-cli-extra | 2ebe996523d2eb22991a9078d8997a52ccd1af38 | [
"MIT"
] | 2 | 2017-03-28T09:13:42.000Z | 2019-01-16T14:06:26.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 36.441176 | 94 | 0.650525 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from contrail_api_cli.resource import Collection
from contrail_api_cli.utils import printo
from contrail_api_cli.exceptions import ResourceNotFound
from contrail_api_cli.schema import require_schema
from contrail_api_cli.command import Command
class Mig... | 0 | 535 | 0 | 371 | 0 | 0 | 0 | 134 | 134 |
5378530ab0714cfc9201d130b6a36558594591e2 | 4,703 | py | Python | lale/lib/aif360/prejudice_remover.py | mfeffer/lale | 57b58843c7c14dc2e5658244280f2c1918bf030b | [
"Apache-2.0"
] | null | null | null | lale/lib/aif360/prejudice_remover.py | mfeffer/lale | 57b58843c7c14dc2e5658244280f2c1918bf030b | [
"Apache-2.0"
] | null | null | null | lale/lib/aif360/prejudice_remover.py | mfeffer/lale | 57b58843c7c14dc2e5658244280f2c1918bf030b | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 37.325397 | 176 | 0.642143 | # Copyright 2020 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 0 | 0 | 0 | 538 | 0 | 0 | 0 | 69 | 46 |
09290fb3b783b84fd44b667186dcb2e9db0a9e5f | 3,301 | py | Python | model.py | wayne980/Person_reID_baseline_pytorch | 36746abd7a63a2804b256d870ab81a36f7ccd105 | [
"MIT"
] | 1 | 2019-08-26T23:22:35.000Z | 2019-08-26T23:22:35.000Z | model.py | wayne980/Person_reID_baseline_pytorch | 36746abd7a63a2804b256d870ab81a36f7ccd105 | [
"MIT"
] | null | null | null | model.py | wayne980/Person_reID_baseline_pytorch | 36746abd7a63a2804b256d870ab81a36f7ccd105 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from torch.autograd import Variable
######################################################################
# Defines the new fc layer and classification layer
# |--Linear--|--bn--|--relu--|--Linear--|
# Define the ResNet50-based Model
# Define the DenseNet121-based Model
# debug ... | 32.048544 | 70 | 0.617389 | import torch
import torch.nn as nn
from torch.nn import init
from torchvision import models
from torch.autograd import Variable
######################################################################
def weights_init_kaiming(m):
classname = m.__class__.__name__
# print(classname)
if classname.find('Conv') !... | 0 | 0 | 0 | 2,008 | 0 | 616 | 0 | 13 | 155 |