max_stars_repo_path stringlengths 4 286 | max_stars_repo_name stringlengths 5 119 | max_stars_count int64 0 191k | id stringlengths 1 7 | content stringlengths 6 1.03M | content_cleaned stringlengths 6 1.03M | language stringclasses 111
values | language_score float64 0.03 1 | comments stringlengths 0 556k | edu_score float64 0.32 5.03 | edu_int_score int64 0 5 |
|---|---|---|---|---|---|---|---|---|---|---|
snake/hc.py | Wenbing-Yao/aigames | 2 | 6620951 | <gh_stars>1-10
# -*- coding: utf-8 -*-
from copy import deepcopy
from itertools import combinations
from os.path import expandvars
import ipdb
import numpy as np
import pygame
from snake_env import SnakeEnv
from snake_env import GRID_WIDTH_NUM
from snake_env import GRID_HEIGHT_NUM
from time import sleep
import numpy... | # -*- coding: utf-8 -*-
from copy import deepcopy
from itertools import combinations
from os.path import expandvars
import ipdb
import numpy as np
import pygame
from snake_env import SnakeEnv
from snake_env import GRID_WIDTH_NUM
from snake_env import GRID_HEIGHT_NUM
from time import sleep
import numpy as np
from sna... | en | 0.327114 | # -*- coding: utf-8 -*- # env.reset() # for sp, ep in edges: # print('-' * 4 * deps, 'flags', ( # start, # ep, # ), flags[(start, ep)]) # print('-' * 4 * deps, 'start at', start, w) # print('-' * 4 * deps, 'found', edges) # print('-' * 4 * deps, ep) # print('-' * 4 * deps, 'found 1', start, ep) # visited.remove... | 2.656873 | 3 |
app.py | sooftware/KoSpeech-Flask | 3 | 6620952 | import os
import os.path
import torch
import librosa
import soundfile as sf
from modules.const import *
from flask import Flask, request, render_template
from werkzeug.utils import secure_filename
from kospeech.utils import label_to_string, id2char, EOS_token
from modules.parser import parse_audio
from modules.converte... | import os
import os.path
import torch
import librosa
import soundfile as sf
from modules.const import *
from flask import Flask, request, render_template
from werkzeug.utils import secure_filename
from kospeech.utils import label_to_string, id2char, EOS_token
from modules.parser import parse_audio
from modules.converte... | en | 0.708539 | # Basic setting # Load weight file # Create object # PCM => WAV, WAV => PCM Convert recorded files to pcm Check file format # If hit play button # check condition # Convert format # Extract feature & Inference by model # Root page | 2.333569 | 2 |
packs/processor/finescale_processing.py | CiceroAraujo/NU_ADM | 0 | 6620953 | import numpy as np
import scipy.sparse as sp
from scipy.sparse import linalg
def newton_iteration_finescale(F_Jacobian, Ts, adjs, p, s, time_step, wells,all_ids, rel_tol=1e-3):
pressure = p.copy()
swns = s.copy()
swn1s = s.copy()
converged=False
count=0
dt=time_step
# data_impress['swn1s']=d... | import numpy as np
import scipy.sparse as sp
from scipy.sparse import linalg
def newton_iteration_finescale(F_Jacobian, Ts, adjs, p, s, time_step, wells,all_ids, rel_tol=1e-3):
pressure = p.copy()
swns = s.copy()
swn1s = s.copy()
converged=False
count=0
dt=time_step
# data_impress['swn1s']=d... | en | 0.251126 | # data_impress['swn1s']=data_impress['swns'].copy() # all_ids=GID_0 # not_prod=np.setdiff1d(all_ids,wells['all_wells']) # Ts, adjs, Swns, Swn1s, F_Jacobian, ID_vol # J=FIM.J # q=FIM.q # converged=max(abs(sol[n:][not_prod]))<rel_tol # saturation[wells['ws_prod']]=saturation[wells['viz_prod']].sum()/len(wells['viz_prod']... | 2.239981 | 2 |
sir/amqp/message.py | jsanzmex/sir | 11 | 6620954 | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2014 <NAME>
# License: MIT, see LICENSE for details
"""
This module contains functions and classes to parse and represent the content
of an AMQP message.
"""
from sir.trigger_generation.sql_generator import MSG_JSON_TABLE_NAME_KEY, MSG_JSON_OPERATION_TYPE
from enum ... | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) 2014 <NAME>
# License: MIT, see LICENSE for details
"""
This module contains functions and classes to parse and represent the content
of an AMQP message.
"""
from sir.trigger_generation.sql_generator import MSG_JSON_TABLE_NAME_KEY, MSG_JSON_OPERATION_TYPE
from enum ... | en | 0.702803 | #!/usr/bin/env python # coding: utf-8 # Copyright (c) 2014 <NAME> # License: MIT, see LICENSE for details This module contains functions and classes to parse and represent the content of an AMQP message. A parsed message from AMQP. Construct a new message object. A message contains a set of columns (dict) whic... | 2.737389 | 3 |
snippet_fmt/__init__.py | python-formate/snippet-fmt | 0 | 6620955 | #!/usr/bin/env python3
#
# __init__.py
"""
Format and validate code snippets in reStructuredText files.
"""
#
# Copyright © 2021 <NAME> <<EMAIL>>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the... | #!/usr/bin/env python3
#
# __init__.py
"""
Format and validate code snippets in reStructuredText files.
"""
#
# Copyright © 2021 <NAME> <<EMAIL>>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the... | en | 0.780825 | #!/usr/bin/env python3 # # __init__.py Format and validate code snippets in reStructuredText files. # # Copyright © 2021 <NAME> <<EMAIL>> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Softwar... | 1.580421 | 2 |
ffws/parser/SpectraMaxM2.py | mojaie/flashflood-workspace-sample | 0 | 6620956 | <gh_stars>0
import csv
def content_loader(lines):
"""Load datafile from SpectraMax M2.
TODO: multilayer
Args:
lines: lines of input file (or file object)
Returns:
parsed data
"""
bs = 20 # block_size
bo = 1 # block_offset
pr = 16 # plate_rows
ro = 2 # row_off... | import csv
def content_loader(lines):
"""Load datafile from SpectraMax M2.
TODO: multilayer
Args:
lines: lines of input file (or file object)
Returns:
parsed data
"""
bs = 20 # block_size
bo = 1 # block_offset
pr = 16 # plate_rows
ro = 2 # row_offset
pc = ... | en | 0.298939 | Load datafile from SpectraMax M2. TODO: multilayer Args: lines: lines of input file (or file object) Returns: parsed data # block_size # block_offset # plate_rows # row_offset # plate_cols # col_offset | 2.759207 | 3 |
pipelitools/preprocessing/features.py | nastiag67/tools | 1 | 6620957 | <filename>pipelitools/preprocessing/features.py
import pandas as pd
import numpy as np
from datetime import datetime
from sklearn.feature_selection import VarianceThreshold, RFE, SelectFromModel
from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier
from sklearn.preprocessing import StandardScaler
... | <filename>pipelitools/preprocessing/features.py
import pandas as pd
import numpy as np
from datetime import datetime
from sklearn.feature_selection import VarianceThreshold, RFE, SelectFromModel
from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier
from sklearn.preprocessing import StandardScaler
... | en | 0.73475 | A pipeline for feature selection Note: Assumes the response is the last column in df. Parameters ---------- df : pd.DataFrame Dataframe used for feature selection (includes features and the response). Feature selection based on low variance. Parameters ---------- thres... | 3.609996 | 4 |
CursoemVideo/ex027.py | arthxvr/coding--python | 0 | 6620958 | <gh_stars>0
nome = str(input('Nome completo: ')).strip()
print(f'Primeiro nome = {nome.split()[0]}')
print(f'Último nome = {nome.split()[-1]}')
| nome = str(input('Nome completo: ')).strip()
print(f'Primeiro nome = {nome.split()[0]}')
print(f'Último nome = {nome.split()[-1]}') | none | 1 | 3.704049 | 4 | |
code/utils/scripts/outliers_script.py | berkeley-stat159/project-alpha | 4 | 6620959 | """
Script to identify outliers for each subject.
Compares the mean MRSS values from running GLM on the basic np.convolve convolved time course,
before and after dropping the outliers.
"""
from __future__ import absolute_import, division, print_function
import numpy as np
import nibabel as nib
import os
import sys... | """
Script to identify outliers for each subject.
Compares the mean MRSS values from running GLM on the basic np.convolve convolved time course,
before and after dropping the outliers.
"""
from __future__ import absolute_import, division, print_function
import numpy as np
import nibabel as nib
import os
import sys... | en | 0.851229 | Script to identify outliers for each subject. Compares the mean MRSS values from running GLM on the basic np.convolve convolved time course, before and after dropping the outliers. # Relative paths to project and data. # List to store the mean MRSS values before and after outlier removal # saving to compare number of... | 2.69921 | 3 |
Advanced_algorithm/oj_homework3/4.py | mndream/MyOJ | 1 | 6620960 | """
棋盘覆盖问题：
给定一个大小为2^n * 2^n个小方格的棋盘，其中有一个位置已经被填充，
现在要用一个L型（2 * 2个小方格组成的大方格中去掉其中一个小方格）形状去覆盖剩下的小方格。
求出覆盖方案，即哪些坐标下的小方格使用同一个L型格子覆盖。注意：坐标从0开始。
左上方的第一个格子坐标为(0,0)，第一行第二个坐标为(0,1)，第二行第一个为(1,0)，以此类推。
输入: 第一行为测试用例个数，后面每一个用例有两行，
第一行为n值和特殊的格子的坐标（用空格隔开），
第二行为需要查找其属于同一个L型格子的格子坐标。
输出: 每一行为一个用例的解，先按照行值从小到大、
再按照列值从小到大的顺序输出每一个用例的两个坐标；用... | """
棋盘覆盖问题：
给定一个大小为2^n * 2^n个小方格的棋盘，其中有一个位置已经被填充，
现在要用一个L型（2 * 2个小方格组成的大方格中去掉其中一个小方格）形状去覆盖剩下的小方格。
求出覆盖方案，即哪些坐标下的小方格使用同一个L型格子覆盖。注意：坐标从0开始。
左上方的第一个格子坐标为(0,0)，第一行第二个坐标为(0,1)，第二行第一个为(1,0)，以此类推。
输入: 第一行为测试用例个数，后面每一个用例有两行，
第一行为n值和特殊的格子的坐标（用空格隔开），
第二行为需要查找其属于同一个L型格子的格子坐标。
输出: 每一行为一个用例的解，先按照行值从小到大、
再按照列值从小到大的顺序输出每一个用例的两个坐标；用... | zh | 0.993872 | 棋盘覆盖问题： 给定一个大小为2^n * 2^n个小方格的棋盘，其中有一个位置已经被填充， 现在要用一个L型（2 * 2个小方格组成的大方格中去掉其中一个小方格）形状去覆盖剩下的小方格。 求出覆盖方案，即哪些坐标下的小方格使用同一个L型格子覆盖。注意：坐标从0开始。 左上方的第一个格子坐标为(0,0)，第一行第二个坐标为(0,1)，第二行第一个为(1,0)，以此类推。 输入: 第一行为测试用例个数，后面每一个用例有两行， 第一行为n值和特殊的格子的坐标（用空格隔开）， 第二行为需要查找其属于同一个L型格子的格子坐标。 输出: 每一行为一个用例的解，先按照行值从小到大、 再按照列值从小到大的顺序输出每一个用例的两个坐标；用逗号隔开... | 4.150178 | 4 |
features/steps/user_steps.py | gekkeharry13/api-python | 1 | 6620961 | from behave import when, then
import conjur
@when("I create a user")
def step_create_user(context):
context.user_id = context.random_string('api-python-user')
context.user = context.api.create_user(context.user_id)
@when('I create a user "{name}"')
def step_creaet_user_named(context, name):
context.user... | from behave import when, then
import conjur
@when("I create a user")
def step_create_user(context):
context.user_id = context.random_string('api-python-user')
context.user = context.api.create_user(context.user_id)
@when('I create a user "{name}"')
def step_creaet_user_named(context, name):
context.user... | none | 1 | 2.67096 | 3 | |
main.py | fablab-wue/MicroPythinShow | 1 | 6620962 | import network
import time
# load WLAN credentials
from WLAN_PW import SSID, PASSWORD
# define function to start network
def net():
sta_if = network.WLAN(network.STA_IF)
sta_if.active(True)
if not sta_if.isconnected(): # Check if connected
print('Connecting to WiFi "{}"'.format(SSID)... | import network
import time
# load WLAN credentials
from WLAN_PW import SSID, PASSWORD
# define function to start network
def net():
sta_if = network.WLAN(network.STA_IF)
sta_if.active(True)
if not sta_if.isconnected(): # Check if connected
print('Connecting to WiFi "{}"'.format(SSID)... | en | 0.7921 | # load WLAN credentials # define function to start network # Check if connected # Connect to an AP # Check for successful connection # load CLI commands | 2.932592 | 3 |
cloudmersive_nlp_api_client/models/word_position.py | Cloudmersive/Cloudmersive.APIClient.Python.NLP | 1 | 6620963 | # coding: utf-8
"""
nlpapiv2
The powerful Natural Language Processing APIs (v2) let you perform part of speech tagging, entity identification, sentence parsing, and much more to help you understand the meaning of unstructured text. # noqa: E501
OpenAPI spec version: v1
Generated by: https://git... | # coding: utf-8
"""
nlpapiv2
The powerful Natural Language Processing APIs (v2) let you perform part of speech tagging, entity identification, sentence parsing, and much more to help you understand the meaning of unstructured text. # noqa: E501
OpenAPI spec version: v1
Generated by: https://git... | en | 0.745192 | # coding: utf-8 nlpapiv2 The powerful Natural Language Processing APIs (v2) let you perform part of speech tagging, entity identification, sentence parsing, and much more to help you understand the meaning of unstructured text. # noqa: E501 OpenAPI spec version: v1 Generated by: https://github.com/s... | 2.681377 | 3 |
config/flask_config.py | iqDF/receiptbook-service | 1 | 6620964 | import os
SQLALCHEMY_DATABASE_URI = 'sqlite:////home/iqdf/Development/OSSHackathon/test.db' | import os
SQLALCHEMY_DATABASE_URI = 'sqlite:////home/iqdf/Development/OSSHackathon/test.db' | none | 1 | 1.207754 | 1 | |
xdgconfig/__init__.py | Dogeek/pyconf | 1 | 6620965 | # flake8: noqa
from platform import system
import xdgconfig.mixins as mixins
__version__ = '1.2.1'
if system() == 'Windows':
from xdgconfig.config_win import WinConfig as Config
elif system() in ('Darwin', 'Linux') or system().startswith('CYGWIN'):
from xdgconfig.config_unix import UnixConfig as Config
els... | # flake8: noqa
from platform import system
import xdgconfig.mixins as mixins
__version__ = '1.2.1'
if system() == 'Windows':
from xdgconfig.config_win import WinConfig as Config
elif system() in ('Darwin', 'Linux') or system().startswith('CYGWIN'):
from xdgconfig.config_unix import UnixConfig as Config
els... | it | 0.238973 | # flake8: noqa | 2.234133 | 2 |
src/genie/libs/parser/iosxe/tests/ShowProcessesCpu/cli/equal/golden_output_1_expected.py | balmasea/genieparser | 204 | 6620966 | <filename>src/genie/libs/parser/iosxe/tests/ShowProcessesCpu/cli/equal/golden_output_1_expected.py
expected_output = {
"sort": {
1: {
"five_min_cpu": 0.0,
"five_sec_cpu": 0.0,
"invoked": 1,
"one_min_cpu": 0.0,
"pid": 100,
"process": "cp... | <filename>src/genie/libs/parser/iosxe/tests/ShowProcessesCpu/cli/equal/golden_output_1_expected.py
expected_output = {
"sort": {
1: {
"five_min_cpu": 0.0,
"five_sec_cpu": 0.0,
"invoked": 1,
"one_min_cpu": 0.0,
"pid": 100,
"process": "cp... | none | 1 | 1.583647 | 2 | |
vmodel/dataset.py | lis-epfl/vmodel | 0 | 6620967 | import pickle
from datetime import datetime
import numpy as np
import pandas as pd
import xarray as xr
import yaml
from vmodel.util.util import clean_attrs
def generate_filename(args):
# Construct output file name
time_str = datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
fnamedict = {
'agents': a... | import pickle
from datetime import datetime
import numpy as np
import pandas as pd
import xarray as xr
import yaml
from vmodel.util.util import clean_attrs
def generate_filename(args):
# Construct output file name
time_str = datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
fnamedict = {
'agents': a... | en | 0.796745 | # Construct output file name # Clean up attrs dict to be compatible with YAML and NETCDF # Return only state (position and velocity) # Tranpose to match data generated from Gazebo | 2.265958 | 2 |
tests/component/records/targets/test_data_url.py | cwegrzyn/records-mover | 36 | 6620968 | import unittest
from records_mover.url.filesystem import FilesystemFileUrl
from records_mover.records.targets.data_url import DataUrlTarget
from records_mover.records.records_format import DelimitedRecordsFormat
class TestDataUrlTarget(unittest.TestCase):
def test_gzip_compression_inferred_no_records_format(self)... | import unittest
from records_mover.url.filesystem import FilesystemFileUrl
from records_mover.records.targets.data_url import DataUrlTarget
from records_mover.records.records_format import DelimitedRecordsFormat
class TestDataUrlTarget(unittest.TestCase):
def test_gzip_compression_inferred_no_records_format(self)... | none | 1 | 2.69883 | 3 | |
template.py | jo3-l/advent | 0 | 6620969 | from collections import defaultdict, Counter, deque
from functools import cache
import math
import re
import itertools
import os
from heapq import heappush, heappop
adj4 = ((0, -1), (0, 1), (1, 0), (-1, 0))
adj8 = ((1, 0), (-1, 0), (0, 1), (0, -1), (1, -1), (1, 1), (-1, 1), (-1, -1))
def lmap(f, it):
return list... | from collections import defaultdict, Counter, deque
from functools import cache
import math
import re
import itertools
import os
from heapq import heappush, heappop
adj4 = ((0, -1), (0, 1), (1, 0), (-1, 0))
adj8 = ((1, 0), (-1, 0), (0, 1), (0, -1), (1, -1), (1, 1), (-1, 1), (-1, -1))
def lmap(f, it):
return list... | none | 1 | 2.999292 | 3 | |
maestral/gui/utils.py | michaelbjames/maestral-dropbox | 0 | 6620970 | <filename>maestral/gui/utils.py
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 31 16:23:13 2018
@author: samschott
"""
# system imports
import sys
import os
import platform
from subprocess import Popen
from traceback import format_exception
# external packages
from PyQt5 import QtCore, QtGui,... | <filename>maestral/gui/utils.py
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 31 16:23:13 2018
@author: samschott
"""
# system imports
import sys
import os
import platform
from subprocess import Popen
from traceback import format_exception
# external packages
from PyQt5 import QtCore, QtGui,... | en | 0.736732 | # !/usr/bin/env python3 # -*- coding: utf-8 -*- Created on Wed Oct 31 16:23:13 2018 @author: samschott # system imports # external packages # maestral modules Elide a string to fit into the given width. :param str string: String to elide. :param font: Font to calculate size. If not given, the current style's ... | 2.233829 | 2 |
aiosvc/db/__init__.py | acsnem/aiosvc | 0 | 6620971 | from .pg import Pool as PgPool | from .pg import Pool as PgPool | none | 1 | 1.075379 | 1 | |
test_framework/show_versions.py | jamescooke/factory_djoy | 26 | 6620972 | <gh_stars>10-100
import sys
from django import get_version
def versions():
return '''
=== VERSIONS ======================
Python = {python}
Django = {django}
===================================
'''.format(
python=sys.version.replace('\n', ' '),
django=get_version(),
)
if __name__ == '__ma... | import sys
from django import get_version
def versions():
return '''
=== VERSIONS ======================
Python = {python}
Django = {django}
===================================
'''.format(
python=sys.version.replace('\n', ' '),
django=get_version(),
)
if __name__ == '__main__':
print(... | en | 0.345826 | === VERSIONS ====================== Python = {python} Django = {django} =================================== | 2.24897 | 2 |
Microassembly/CPU-16 Micro Assembler.py | techno-sorcery/CPU-16 | 0 | 6620973 | <filename>Microassembly/CPU-16 Micro Assembler.py
##########################################
# ATLAS CPU-16 MICRO-ASSEMBLER #
# WRITTEN BY <NAME>. - 2022 #
##########################################
import re
import sys
import os
mcode = {
'PC_ST' :'0b0000000000000000000000000000100000000... | <filename>Microassembly/CPU-16 Micro Assembler.py
##########################################
# ATLAS CPU-16 MICRO-ASSEMBLER #
# WRITTEN BY <NAME>. - 2022 #
##########################################
import re
import sys
import os
mcode = {
'PC_ST' :'0b0000000000000000000000000000100000000... | en | 0.333783 | ########################################## # ATLAS CPU-16 MICRO-ASSEMBLER # # WRITTEN BY <NAME>. - 2022 # ########################################## #path = sys.argv[1] #First pass - Find labels & parse instructions #Find labels #print(line) #print() #print(labels) #print() #print(words) #print() #... | 1.917695 | 2 |
nobrainer/bayesian_utils.py | richford/nobrainer | 2 | 6620974 | <gh_stars>1-10
import numpy as np
import tensorflow as tf
import tensorflow.compat.v2 as tf2
from tensorflow.python.ops import nn_impl
import tensorflow_probability as tfp
from tensorflow_probability.python import util as tfp_util
from tensorflow_probability.python.distributions import (
deterministic as determinis... | import numpy as np
import tensorflow as tf
import tensorflow.compat.v2 as tf2
from tensorflow.python.ops import nn_impl
import tensorflow_probability as tfp
from tensorflow_probability.python import util as tfp_util
from tensorflow_probability.python.distributions import (
deterministic as deterministic_lib,
)
from... | en | 0.424684 | Creates `loc`, `scale` parameters. # loc = tfp_util.DeferredTensor(loc, lambda x: (nn_impl.l2_normalize(x))) # tf.keras.regularizers.l2(), #None # tf.keras.regularizers.l2(), #None # tf.keras.constraints.UnitNorm(axis = [0, 1, 2,3]), Defines normal distributions prior for Bayesian neural network. | 2.18167 | 2 |
tests/models/test_group.py | SungardAS/porper-core | 0 | 6620975 |
import sys
sys.path.append('../../porper')
import os
region = os.environ.get('AWS_DEFAULT_REGION')
import boto3
dynamodb = boto3.resource('dynamodb',region_name=region)
from models.group import Group
group = Group(dynamodb)
params = {'name': 'public'}
group.create(params)
params = {'id': '1234', 'name': 'new'}
gro... |
import sys
sys.path.append('../../porper')
import os
region = os.environ.get('AWS_DEFAULT_REGION')
import boto3
dynamodb = boto3.resource('dynamodb',region_name=region)
from models.group import Group
group = Group(dynamodb)
params = {'name': 'public'}
group.create(params)
params = {'id': '1234', 'name': 'new'}
gro... | none | 1 | 2.16917 | 2 | |
app/libs/face_detection/tests/test_face_detection_facade.py | guischroeder/hackattic-basic-face-detection | 1 | 6620976 | <reponame>guischroeder/hackattic-basic-face-detection
import requests
from io import BytesIO
from app.libs.hackattic.hackattic_service import HackatticService
from app.libs.aws.aws_client import AWSClient
from app.libs.aws.s3_service import S3Service
from app.libs.aws.rekognition_service import RekognitionService
fro... | import requests
from io import BytesIO
from app.libs.hackattic.hackattic_service import HackatticService
from app.libs.aws.aws_client import AWSClient
from app.libs.aws.s3_service import S3Service
from app.libs.aws.rekognition_service import RekognitionService
from app.libs.face_detection.positions_service import Pos... | none | 1 | 2.173446 | 2 | |
unitconv/__init__.py | facundobatista/unitconv | 2 | 6620977 | # Copyright 2010-2018 Canonical Ltd.
# Copyright 2020 <NAME>
# All Rights Reserved
"""A units converter."""
import collections
import itertools
import logging
import math
import random
import re
import sys
import pint
__all__ = ['convert']
logger = logging.getLogger(__name__)
_ureg = pint.UnitRegistry()
UnitInfo... | # Copyright 2010-2018 Canonical Ltd.
# Copyright 2020 <NAME>
# All Rights Reserved
"""A units converter."""
import collections
import itertools
import logging
import math
import random
import re
import sys
import pint
__all__ = ['convert']
logger = logging.getLogger(__name__)
_ureg = pint.UnitRegistry()
UnitInfo... | en | 0.806722 | # Copyright 2010-2018 Canonical Ltd. # Copyright 2020 <NAME> # All Rights Reserved A units converter. # crazy regex to match a number; this comes from the Python's Decimal code, # adapted to support also commas # A numeric string consists of: (?=\d|\.\d|\,\d) # starts with a number or a point/comma (?... | 3.373235 | 3 |
tests/resources/config/default_config_2.py | elijahbenizzy/hamilton | 298 | 6620978 | <filename>tests/resources/config/default_config_2.py<gh_stars>100-1000
def some_key() -> str:
return 'some_value'
| <filename>tests/resources/config/default_config_2.py<gh_stars>100-1000
def some_key() -> str:
return 'some_value'
| none | 1 | 1.494413 | 1 | |
rainy/envs/ext.py | alexmlamb/blocks_rl_gru_setup | 0 | 6620979 | <gh_stars>0
from abc import ABC
import gym
from gym import spaces
from numpy import ndarray
from typing import Any, Generic, Tuple
from ..prelude import Action, State
class EnvSpec:
def __init__(
self,
state_dim: Tuple[int, ...],
action_space: gym.Space,
use_reward_... | from abc import ABC
import gym
from gym import spaces
from numpy import ndarray
from typing import Any, Generic, Tuple
from ..prelude import Action, State
class EnvSpec:
def __init__(
self,
state_dim: Tuple[int, ...],
action_space: gym.Space,
use_reward_monitor: boo... | en | 0.855157 | Properties which are common both in EnvExt and ParallelEnv Inherited from gym.Env. Inherited from gym.Env. Inherited from gym.Env. Inherited from gym.Env. Inherited from gym.Env. Inherited from gym.Env. Extended method. Returns a ndim of action space. Extended method. Returns a shape of observation spac... | 2.43961 | 2 |
TexasCovidLast40Days.py | gregwa1953/FCM-171 | 0 | 6620980 | <filename>TexasCovidLast40Days.py<gh_stars>0
import plotext as plt
data = [
2520151, 2522016, 2523617, 2524212, 2524688, 2525991, 2527350, 2529068,
2530176, 2530658, 2530910, 2531194, 2532112, 2533123, 2534149, 2534730,
2536217, 2536646, 2536691, 2538120, 2538908, 2540318, 2541586, 2542877,
2543158, 25... | <filename>TexasCovidLast40Days.py<gh_stars>0
import plotext as plt
data = [
2520151, 2522016, 2523617, 2524212, 2524688, 2525991, 2527350, 2529068,
2530176, 2530658, 2530910, 2531194, 2532112, 2533123, 2534149, 2534730,
2536217, 2536646, 2536691, 2538120, 2538908, 2540318, 2541586, 2542877,
2543158, 25... | none | 1 | 3.092186 | 3 | |
dist-packages/deepin_utils/multithread.py | Jianwei-Wang/python2.7_lib | 0 | 6620981 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2011 ~ 2012 Deepin, Inc.
# 2011 ~ 2012 Wang Yong
#
# Author: <NAME> <<EMAIL>>
# Maintainer: <NAME> <<EMAIL>>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License... | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2011 ~ 2012 Deepin, Inc.
# 2011 ~ 2012 Wang Yong
#
# Author: <NAME> <<EMAIL>>
# Maintainer: <NAME> <<EMAIL>>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License... | en | 0.818903 | #! /usr/bin/env python # -*- coding: utf-8 -*- # Copyright (C) 2011 ~ 2012 Deepin, Inc. # 2011 ~ 2012 Wang Yong # # Author: <NAME> <<EMAIL>> # Maintainer: <NAME> <<EMAIL>> # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as... | 3.286192 | 3 |
tests/test_responses/test_response_spec.py | adriangb/xpresso | 75 | 6620982 | from typing import Any, Dict, List, Tuple, Union
from pydantic import BaseModel
from xpresso import App, Operation, Path
from xpresso.responses import FileResponse, JSONResponse, ResponseSpec
from xpresso.testclient import TestClient
def test_default_response_spec_merge_with_top_level_parameters() -> None:
asyn... | from typing import Any, Dict, List, Tuple, Union
from pydantic import BaseModel
from xpresso import App, Operation, Path
from xpresso.responses import FileResponse, JSONResponse, ResponseSpec
from xpresso.testclient import TestClient
def test_default_response_spec_merge_with_top_level_parameters() -> None:
asyn... | none | 1 | 2.213365 | 2 | |
deploy.py | unit9/gae-flex-deploy | 0 | 6620983 | #! /usr/bin/env python3
from settings import PROJECT_NAME
from yaml import dump, load
import argparse
import os
import subprocess
import shutil
from hashlib import sha256
def rreplace(s, old, new, occurrence=1):
li = s.rsplit(old, occurrence)
return new.join(li)
CONFIGS_BUCKET = 'gs://{}-configs/'.format(P... | #! /usr/bin/env python3
from settings import PROJECT_NAME
from yaml import dump, load
import argparse
import os
import subprocess
import shutil
from hashlib import sha256
def rreplace(s, old, new, occurrence=1):
li = s.rsplit(old, occurrence)
return new.join(li)
CONFIGS_BUCKET = 'gs://{}-configs/'.format(P... | en | 0.479036 | #! /usr/bin/env python3 # get full paths # checking if files exist # load files # cuz of windows file access | 2.251936 | 2 |
src/C2B_Simulate.py | KahigaKiguru/Daraja-API-Test | 2 | 6620984 | <filename>src/C2B_Simulate.py
import authenticate_app
import user_credentials
import requests
def register_url():
access_token = authenticate_app.access_token
api_url = user_credentials.register_api_url
headers = {"Authorization": "Bearer %s" %access_token}
request = {
"ShortCode": us... | <filename>src/C2B_Simulate.py
import authenticate_app
import user_credentials
import requests
def register_url():
access_token = authenticate_app.access_token
api_url = user_credentials.register_api_url
headers = {"Authorization": "Bearer %s" %access_token}
request = {
"ShortCode": us... | none | 1 | 2.711134 | 3 | |
lib/search/priorityqueue.py | timofurrer/aoc-2020 | 0 | 6620985 | import heapq
class PriorityQueue:
"""A Queue in which the minimum (or maximum) element (as determined by f and
order) is returned first.
If order is 'min', the item with minimum f(x) is
returned first; if order is 'max', then it is the item with maximum f(x).
Also supports dict-like lookup."""
... | import heapq
class PriorityQueue:
"""A Queue in which the minimum (or maximum) element (as determined by f and
order) is returned first.
If order is 'min', the item with minimum f(x) is
returned first; if order is 'max', then it is the item with maximum f(x).
Also supports dict-like lookup."""
... | en | 0.877411 | A Queue in which the minimum (or maximum) element (as determined by f and order) is returned first. If order is 'min', the item with minimum f(x) is returned first; if order is 'max', then it is the item with maximum f(x). Also supports dict-like lookup. # now item with max f(x) # will be popped first I... | 4.349817 | 4 |
app/http/controllers/PlateController.py | zhaozhentao/MasoniteML | 0 | 6620986 | """A PlateController Module."""
from masonite import Upload
from masonite.controllers import Controller
from masonite.request import Request
from app.providers.DLModelProvider import DLModelProvider
class PlateController(Controller):
"""PlateController Controller Class."""
def __init__(self, request: Reques... | """A PlateController Module."""
from masonite import Upload
from masonite.controllers import Controller
from masonite.request import Request
from app.providers.DLModelProvider import DLModelProvider
class PlateController(Controller):
"""PlateController Controller Class."""
def __init__(self, request: Reques... | en | 0.330413 | A PlateController Module. PlateController Controller Class. PlateController Initializer Arguments: request {masonite.request.Request} -- The Masonite Request class. | 2.853762 | 3 |
Menu.py | AStox/tankbot | 0 | 6620987 | <gh_stars>0
'''
Copyright 2014 <NAME>
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 ... | '''
Copyright 2014 <NAME>
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, sof... | en | 0.876396 | Copyright 2014 <NAME> 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, softwar... | 2.405761 | 2 |
python/project-euler/euler_2.py | indeshan/code | 0 | 6620988 | <filename>python/project-euler/euler_2.py
prev, cur = 0, 1
total = 0
while True:
prev, cur = cur, prev + cur
if cur >= 4000000:
break
if cur % 2 == 0:
total += cur
print(total)
| <filename>python/project-euler/euler_2.py
prev, cur = 0, 1
total = 0
while True:
prev, cur = cur, prev + cur
if cur >= 4000000:
break
if cur % 2 == 0:
total += cur
print(total)
| none | 1 | 3.148696 | 3 | |
odoo-13.0/addons/l10n_in_sale_stock/models/stock_warehouse.py | VaibhavBhujade/Blockchain-ERP-interoperability | 0 | 6620989 | <filename>odoo-13.0/addons/l10n_in_sale_stock/models/stock_warehouse.py
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import models, fields, api
class Stock(models.Model):
_inherit = 'stock.warehouse'
l10n_in_sale_journal_id = fields.Many2one('a... | <filename>odoo-13.0/addons/l10n_in_sale_stock/models/stock_warehouse.py
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import models, fields, api
class Stock(models.Model):
_inherit = 'stock.warehouse'
l10n_in_sale_journal_id = fields.Many2one('a... | en | 0.860833 | # -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. | 1.239346 | 1 |
MLTL_Compiler/__init__.py | zpcore/Web_MLTL_Compiler | 0 | 6620990 | from .postgraph import Postgraph
from .Observer import * | from .postgraph import Postgraph
from .Observer import * | none | 1 | 1.020479 | 1 | |
tests/test_fuzz_lib.py | NESCAU-UFLA/FuzzyingTool | 0 | 6620991 | import unittest
from unittest.mock import Mock, patch
from src.fuzzingtool.fuzz_lib import FuzzLib
from src.fuzzingtool.conn.requesters import Requester, SubdomainRequester
from src.fuzzingtool.utils.consts import PluginCategory, FUZZING_MARK
from src.fuzzingtool.exceptions import FuzzLibException, WordlistCreationErr... | import unittest
from unittest.mock import Mock, patch
from src.fuzzingtool.fuzz_lib import FuzzLib
from src.fuzzingtool.conn.requesters import Requester, SubdomainRequester
from src.fuzzingtool.utils.consts import PluginCategory, FUZZING_MARK
from src.fuzzingtool.exceptions import FuzzLibException, WordlistCreationErr... | none | 1 | 2.396577 | 2 | |
chapter05/bar.py | teleported/ds-fromscratch | 0 | 6620992 | <filename>chapter05/bar.py
#!/usr/bin/python
import matplotlib
matplotlib.use('Qt4Agg')
import random
from collections import Counter
from matplotlib import pyplot as plt
num_friends = [random.choice(range(20)) for _ in range(200)]
friend_counter = Counter(num_friends)
xs = range(21)
ys = [friend_counter[x] for x i... | <filename>chapter05/bar.py
#!/usr/bin/python
import matplotlib
matplotlib.use('Qt4Agg')
import random
from collections import Counter
from matplotlib import pyplot as plt
num_friends = [random.choice(range(20)) for _ in range(200)]
friend_counter = Counter(num_friends)
xs = range(21)
ys = [friend_counter[x] for x i... | en | 0.370167 | #!/usr/bin/python # plt.xticks(xs , xs) | 3.231181 | 3 |
good_spot/populartimes/admin.py | jasmine92122/NightClubBackend | 0 | 6620993 | <reponame>jasmine92122/NightClubBackend
from django.contrib import admin
from django.contrib.postgres.fields import JSONField
from prettyjson import PrettyJSONWidget
from good_spot.populartimes.models import Populartimes
@admin.register(Populartimes)
class PopulartimesAdmin(admin.ModelAdmin):
formfield_overrides... | from django.contrib import admin
from django.contrib.postgres.fields import JSONField
from prettyjson import PrettyJSONWidget
from good_spot.populartimes.models import Populartimes
@admin.register(Populartimes)
class PopulartimesAdmin(admin.ModelAdmin):
formfield_overrides = {
JSONField: {'widget': Prett... | none | 1 | 1.513608 | 2 | |
pymodaq_plugins/hardware/Newport/esp100.py | Cdriko/pymodaq_plugins | 0 | 6620994 | import pyvisa
import numpy as np
class ESP100(object):
def __init__(self):
super().__init__()
self._controller = None
self._VISA_rm = pyvisa.ResourceManager()
self.com_ports = self.get_ressources()
@property
def timeout(self):
return self._timeout
@timeout.se... | import pyvisa
import numpy as np
class ESP100(object):
def __init__(self):
super().__init__()
self._controller = None
self._VISA_rm = pyvisa.ResourceManager()
self.com_ports = self.get_ressources()
@property
def timeout(self):
return self._timeout
@timeout.se... | en | 0.227171 | #set attributes #self._controller.flow_control = 0 # self._controller.read_termination=self._controller.LF # self._controller.write_termination=self._controller.LF return the given axis position always in mm | 2.576441 | 3 |
build/PureCloudPlatformClientV2/models/create_web_chat_conversation_request.py | cjohnson-ctl/platform-client-sdk-python | 10 | 6620995 | <reponame>cjohnson-ctl/platform-client-sdk-python<gh_stars>1-10
# coding: utf-8
"""
Copyright 2016 SmartBear Software
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... | # coding: utf-8
"""
Copyright 2016 SmartBear Software
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 applica... | en | 0.78724 | # coding: utf-8 Copyright 2016 SmartBear Software 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 l... | 1.540727 | 2 |
tests/unit/test_toolchain.py | ericsonj/pymaketool | 6 | 6620996 | <gh_stars>1-10
import unittest
from pymakelib import toolchain
class TestToolchain(unittest.TestCase):
def test_confgcc(self):
res = toolchain.confGCC(binLocation="/usr/bin/")
self.assertEqual("/usr/bin/gcc", res['CC'])
res = toolchain.confGCC(binLocation="/usr/bin")
self.assertEq... | import unittest
from pymakelib import toolchain
class TestToolchain(unittest.TestCase):
def test_confgcc(self):
res = toolchain.confGCC(binLocation="/usr/bin/")
self.assertEqual("/usr/bin/gcc", res['CC'])
res = toolchain.confGCC(binLocation="/usr/bin")
self.assertEqual("/usr/bin/g... | none | 1 | 2.328085 | 2 | |
jupyterlab_powerpoint/tests/test_init.py | timkpaine/jupyterlab_powerpoint | 19 | 6620997 | <reponame>timkpaine/jupyterlab_powerpoint<gh_stars>10-100
# for Coverage
from jupyterlab_powerpoint import _jupyter_server_extension_paths
class TestInit:
def test__jupyter_server_extension_paths(self):
assert _jupyter_server_extension_paths() == [
{"module": "jupyterlab_powerpoint.extension"}... | # for Coverage
from jupyterlab_powerpoint import _jupyter_server_extension_paths
class TestInit:
def test__jupyter_server_extension_paths(self):
assert _jupyter_server_extension_paths() == [
{"module": "jupyterlab_powerpoint.extension"}
] | en | 0.887398 | # for Coverage | 1.784336 | 2 |
src/baseline/exnn/setup.py | fau-is/gam_comparison | 1 | 6620998 | from setuptools import setup
setup(name='exnn',
version='0.1',
description='The enhanced explainable neural network with sparse, orthogonal and smooth constraints',
url='https://github.com/ZebinYang/exnn',
author='<NAME>',
author_email='<EMAIL>',
license='GPL',
packages=['exnn... | from setuptools import setup
setup(name='exnn',
version='0.1',
description='The enhanced explainable neural network with sparse, orthogonal and smooth constraints',
url='https://github.com/ZebinYang/exnn',
author='<NAME>',
author_email='<EMAIL>',
license='GPL',
packages=['exnn... | none | 1 | 1.129175 | 1 | |
logger.py | SadoP/DiscordRolesFromSheets | 0 | 6620999 | <filename>logger.py
import logging
logger = logging.getLogger("logger")
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger.setLevel(logging.INFO)
| <filename>logger.py
import logging
logger = logging.getLogger("logger")
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger.setLevel(logging.INFO)
| none | 1 | 2.567354 | 3 | |
src/golem.py | ignavier/golem | 10 | 6621000 | import os
from models import GolemModel
from trainers import GolemTrainer
# For logging of tensorflow messages
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
def golem(X, lambda_1, lambda_2, equal_variances=True,
num_iter=1e+5, learning_rate=1e-3, seed=1,
checkpoint_iter=None, output_dir=None, B_init... | import os
from models import GolemModel
from trainers import GolemTrainer
# For logging of tensorflow messages
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
def golem(X, lambda_1, lambda_2, equal_variances=True,
num_iter=1e+5, learning_rate=1e-3, seed=1,
checkpoint_iter=None, output_dir=None, B_init... | en | 0.70785 | # For logging of tensorflow messages Solve the unconstrained optimization problem of GOLEM, which involves GolemModel and GolemTrainer. Args: X (numpy.ndarray): [n, d] data matrix. lambda_1 (float): Coefficient of L1 penalty. lambda_2 (float): Coefficient of DAG penalty. equ... | 2.410259 | 2 |
2020/5.1/main.py | kylixalex/Advent-of-Code | 0 | 6621001 | <reponame>kylixalex/Advent-of-Code<filename>2020/5.1/main.py<gh_stars>0
inp = open("input.txt").read().splitlines()
li = []
for line in inp:
binary = str.maketrans("FBLR", "0101")
translated = int(line.translate(binary), 2)
li.append(translated)
print(max(li))
| inp = open("input.txt").read().splitlines()
li = []
for line in inp:
binary = str.maketrans("FBLR", "0101")
translated = int(line.translate(binary), 2)
li.append(translated)
print(max(li)) | none | 1 | 3.129653 | 3 | |
dexp/utils/robocopy.py | haesleinhuepf/dexp | 16 | 6621002 | import os
import subprocess
from arbol import aprint, asection
def robocopy(
source_folder: str,
dest_folder: str,
move_files: bool = False,
nb_threads: int = 8,
large_files: bool = False,
wait_to_finish: bool = True,
):
"""
Start a generic robocopy job on Windows to copy files from o... | import os
import subprocess
from arbol import aprint, asection
def robocopy(
source_folder: str,
dest_folder: str,
move_files: bool = False,
nb_threads: int = 8,
large_files: bool = False,
wait_to_finish: bool = True,
):
"""
Start a generic robocopy job on Windows to copy files from o... | en | 0.744428 | Start a generic robocopy job on Windows to copy files from one folder to another Args --------- Returns --------- copyProcess (Popen Object) : > this is the Popen object that's running the copy process. This can be > used to check or kill the process if necessary. # checks for network file... | 3.043097 | 3 |
pipot/services/ServiceModelsManager.py | VertexC/pipot-server | 4 | 6621003 | <filename>pipot/services/ServiceModelsManager.py<gh_stars>1-10
# The models is stored in models.txt as
# [serviceName1].[tableName1]
# [serviceName1].[tableName2]
# [serviceName2].[tableName1]
from __future__ import print_function
import os
import sys
import importlib
import inspect
from database import Base
models_s... | <filename>pipot/services/ServiceModelsManager.py<gh_stars>1-10
# The models is stored in models.txt as
# [serviceName1].[tableName1]
# [serviceName1].[tableName2]
# [serviceName2].[tableName1]
from __future__ import print_function
import os
import sys
import importlib
import inspect
from database import Base
models_s... | en | 0.649429 | # The models is stored in models.txt as # [serviceName1].[tableName1] # [serviceName1].[tableName2] # [serviceName2].[tableName1] when services is None, import all models otherwise import models specified in services only | 2.648012 | 3 |
generate-essay.py | chaaklau/appledaily-frequency | 1 | 6621004 | <filename>generate-essay.py
import pandas as pd
essay_cantonese = pd.read_csv(
"source/essay-cantonese.txt",
header=None,
names=["char", "freq"],
sep="\t",
)
found = pd.read_csv(
"output/found.tsv",
header=None,
names=["char", "freq"],
sep="\t",
)
file = open("output/essay-new.txt", "w... | <filename>generate-essay.py
import pandas as pd
essay_cantonese = pd.read_csv(
"source/essay-cantonese.txt",
header=None,
names=["char", "freq"],
sep="\t",
)
found = pd.read_csv(
"output/found.tsv",
header=None,
names=["char", "freq"],
sep="\t",
)
file = open("output/essay-new.txt", "w... | en | 0.764305 | # All words from essay_cantonese will be kept. | 3.191111 | 3 |
src/roi/collection.py | BeastyBlacksmith/pyama | 1 | 6621005 | <reponame>BeastyBlacksmith/pyama<gh_stars>1-10
from threading import RLock
from .base import Roi
from ..listener import Listeners
class RoiCollection:
IDX_TYPE = 0
IDX_VERSION = 1
def __init__(self, key=None, type_=None, version=None,
parameters=None, name=None, color=None, stroke_width=... | from threading import RLock
from .base import Roi
from ..listener import Listeners
class RoiCollection:
IDX_TYPE = 0
IDX_VERSION = 1
def __init__(self, key=None, type_=None, version=None,
parameters=None, name=None, color=None, stroke_width=None):
if key is None and isinstance(ty... | none | 1 | 2.44981 | 2 | |
psana/psana/peakFinder/examples/ex03-localextrema.py | JBlaschke/lcls2 | 16 | 6621006 | #!/usr/bin/env python
""" test of psalg_ext.local_minimums, local_maximums, threshold_maximums, local_maximums_rank1_cross
"""
#----------
import sys
import psalg_ext as algos
import numpy as np
#----------
def test01(tname='1', NUMBER_OF_EVENTS=5, DO_PRINT=True) :
print('local extrema : %s' % ('minimums' if tnam... | #!/usr/bin/env python
""" test of psalg_ext.local_minimums, local_maximums, threshold_maximums, local_maximums_rank1_cross
"""
#----------
import sys
import psalg_ext as algos
import numpy as np
#----------
def test01(tname='1', NUMBER_OF_EVENTS=5, DO_PRINT=True) :
print('local extrema : %s' % ('minimums' if tnam... | pt | 0.191628 | #!/usr/bin/env python test of psalg_ext.local_minimums, local_maximums, threshold_maximums, local_maximums_rank1_cross #---------- #---------- #, sleep #---------- #---------- #ave, rms = img1.mean(), img1.std() #amin, amax = ave-1*rms, ave+5*rms #imsh1,cbar1=\ #imsh2,cbar2=\ #---------- #---------- #---------- #------... | 2.299759 | 2 |
montlake/utils/utils.py | sjkoelle/montlake | 8 | 6621007 | <reponame>sjkoelle/montlake
# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/utils.utils.ipynb (unless otherwise specified).
__all__ = ['get_index_matching', 'get_234_indices', 'get_atoms4_full', 'get_atoms3_full', 'data_stream_custom_range',
'get_cosines', 'cosine_similarity']
# Cell
import numpy as np
fro... | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/utils.utils.ipynb (unless otherwise specified).
__all__ = ['get_index_matching', 'get_234_indices', 'get_atoms4_full', 'get_atoms3_full', 'data_stream_custom_range',
'get_cosines', 'cosine_similarity']
# Cell
import numpy as np
from einops import rearrange
d... | en | 0.431901 | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/utils.utils.ipynb (unless otherwise specified). # Cell # combos[c][[0,2,1,3]], #print(p) Get indices in dictionary of each functions set ordered by order234 #print('here') # Cell # def get_cosines(dg): # n = dg.shape[0] # p = dg.shape[1] # d = dg.shape[2] # ... | 1.942297 | 2 |
src/api/futures.py | newlyedward/datascinece | 2 | 6621008 | # -*- coding: utf-8 -*-
import pandas as pd
from datetime import datetime
from src.api import conn
from src.util import connect_mongo
from log import LogHandler
log = LogHandler('api.log')
def get_dominant(code, start_date=None, end_date=None):
"""
获取某一期货品种一段时间的主力合约列表。合约首次上市时，以当日收盘同品种持仓量最大者作为从第二个交易日开始的主力合约... | # -*- coding: utf-8 -*-
import pandas as pd
from datetime import datetime
from src.api import conn
from src.util import connect_mongo
from log import LogHandler
log = LogHandler('api.log')
def get_dominant(code, start_date=None, end_date=None):
"""
获取某一期货品种一段时间的主力合约列表。合约首次上市时，以当日收盘同品种持仓量最大者作为从第二个交易日开始的主力合约... | zh | 0.71366 | # -*- coding: utf-8 -*- 获取某一期货品种一段时间的主力合约列表。合约首次上市时，以当日收盘同品种持仓量最大者作为从第二个交易日开始的主力合约。 当同品种其他合约持仓量在收盘后超过当前主力合约时，从第二个交易日开始进行主力合约的切换。日内不会进行主力合约的切换。 :param code: 期货合约品种，例如沪深300股指期货为'IF' :param start_date: datetime.datetime 开始日期，默认为期货品种最早上市日期后一交易日 :param end_date: ... | 2.450505 | 2 |
accelerator/tests/test_application_answer.py | masschallenge/django-accelerator | 6 | 6621009 | <reponame>masschallenge/django-accelerator
# MIT License
# Copyright (c) 2017 MassChallenge, Inc.
from __future__ import unicode_literals
from django.test import TestCase
from accelerator.tests.factories import ApplicationAnswerFactory
class TestApplicationAnswer(TestCase):
def test_str(self):
applica... | # MIT License
# Copyright (c) 2017 MassChallenge, Inc.
from __future__ import unicode_literals
from django.test import TestCase
from accelerator.tests.factories import ApplicationAnswerFactory
class TestApplicationAnswer(TestCase):
def test_str(self):
application_answer = ApplicationAnswerFactory()
... | en | 0.640174 | # MIT License # Copyright (c) 2017 MassChallenge, Inc. | 2.436134 | 2 |
src/dataclass_bakery/generators/generators_exceptions.py | miguelFLG13/dataclass-bakery | 1 | 6621010 | class TypeNotAllow(Exception):
def __init__(self, *args, **kwargs):
super().__init__("TypeNotAllow: Creating a dataclass object")
| class TypeNotAllow(Exception):
def __init__(self, *args, **kwargs):
super().__init__("TypeNotAllow: Creating a dataclass object")
| none | 1 | 2.386627 | 2 | |
Pipeline/run_dock6_to_nc.py | CCBatIIT/AlGDock | 15 | 6621011 | <gh_stars>10-100
job_block = 50
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--job_block', default=job_block, type=int, \
help='Number of dockings per job')
parser.add_argument('--dry', action='store_true', default=False, \
help='Does not actually submit the job to the queue')
args = p... | job_block = 50
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--job_block', default=job_block, type=int, \
help='Number of dockings per job')
parser.add_argument('--dry', action='store_true', default=False, \
help='Does not actually submit the job to the queue')
args = parser.parse_args(... | en | 0.538521 | # Find dock6_to_nc.py # Convert from mol2 to netcdf files | 2.387426 | 2 |
leetcode/0-250/145-198. House Robber.py | palash24/algorithms-and-data-structures | 23 | 6621012 | # 198. House Robber
class Solution(object):
def rob(self, nums):
l = len(nums)
robs = [0] * (l + 2)
for i in range(l):
robs[i + 2] = max(robs[i] + nums[i], robs[i + 1])
return robs[l + 1]
| # 198. House Robber
class Solution(object):
def rob(self, nums):
l = len(nums)
robs = [0] * (l + 2)
for i in range(l):
robs[i + 2] = max(robs[i] + nums[i], robs[i + 1])
return robs[l + 1]
| en | 0.688933 | # 198. House Robber | 2.890374 | 3 |
2020-03-26-Python-Object-Model/examples/set-name.py | s3rvac/talks | 2 | 6621013 | <reponame>s3rvac/talks<filename>2020-03-26-Python-Object-Model/examples/set-name.py
# An example of using __set_name__. It can be used for descriptors to
# automatically detect the name of the attribute they have been assigned to.
# Available since Python 3.6.
class X:
def __set_name__(self, owner, name):
... | # An example of using __set_name__. It can be used for descriptors to
# automatically detect the name of the attribute they have been assigned to.
# Available since Python 3.6.
class X:
def __set_name__(self, owner, name):
print(f'owner: {owner}, name: {name!r}')
class A:
a = X() # owner: <class '__ma... | en | 0.681022 | # An example of using __set_name__. It can be used for descriptors to # automatically detect the name of the attribute they have been assigned to. # Available since Python 3.6. # owner: <class '__main__.A'>, name: 'a' # owner: <class '__main__.A'>, name: 'b' # owner: <class '__main__.A'>, name: 'c' | 3.605058 | 4 |
Chromatography_Simulator.py | Tocha4/-Displacement--Chromatography | 2 | 6621014 | <filename>Chromatography_Simulator.py
from PyQt5.QtWidgets import QApplication
from Graphs.fig_01 import PlotCanvas
from Graphs.graphChromaCanvas import PlotCanvas_Chrom
from Graphs.Popup_ai import popup
from fa_02 import App
import sys
import numpy as np
import seaborn as sns; sns.set()
class main(App):
de... | <filename>Chromatography_Simulator.py
from PyQt5.QtWidgets import QApplication
from Graphs.fig_01 import PlotCanvas
from Graphs.graphChromaCanvas import PlotCanvas_Chrom
from Graphs.Popup_ai import popup
from fa_02 import App
import sys
import numpy as np
import seaborn as sns; sns.set()
class main(App):
de... | en | 0.798035 | # lets test some stuff | 2.649259 | 3 |
setup.py | jjnp/traefik-eval | 0 | 6621015 | <filename>setup.py
import os
import setuptools
try:
with open("README.md", "r") as fh:
long_description = fh.read()
except FileNotFoundError:
long_description = ''
try:
with open("requirements-dev.txt", "r") as fh:
tests_require = [line for line in fh.read().split(os.linesep) if line]
exc... | <filename>setup.py
import os
import setuptools
try:
with open("README.md", "r") as fh:
long_description = fh.read()
except FileNotFoundError:
long_description = ''
try:
with open("requirements-dev.txt", "r") as fh:
tests_require = [line for line in fh.read().split(os.linesep) if line]
exc... | none | 1 | 1.737867 | 2 | |
OpenCV/Section2-Advanced/bitwise.py | CChCheChen/OpenCV-Course | 0 | 6621016 | import cv2 as cv
import numpy as np
blank = np.zeros((400,400), dtype='uint8')
rectangle = cv.rectangle(blank.copy(), (30,30), (370,370), 255, -1)
circle = cv.circle(blank.copy(), (200,200), 200, 255, -1)
cv.imshow('rectangle', rectangle)
cv.imshow('circle', circle)
# Bitwise AND --> intersecting regions
bitwise_an... | import cv2 as cv
import numpy as np
blank = np.zeros((400,400), dtype='uint8')
rectangle = cv.rectangle(blank.copy(), (30,30), (370,370), 255, -1)
circle = cv.circle(blank.copy(), (200,200), 200, 255, -1)
cv.imshow('rectangle', rectangle)
cv.imshow('circle', circle)
# Bitwise AND --> intersecting regions
bitwise_an... | en | 0.718984 | # Bitwise AND --> intersecting regions # Bitwise OR --> non-intersecting and intersecting regions # Bitwise XOR --> non-intersecting regions # Bitwise NOT | 3.095028 | 3 |
include/HydrusNATPunch.py | antonpaquin/hydrus | 0 | 6621017 | <filename>include/HydrusNATPunch.py
import HydrusConstants as HC
import HydrusData
import HydrusExceptions
import HydrusText
import os
import shlex
import socket
import subprocess
import threading
import traceback
# new stuff starts here
if HC.PLATFORM_LINUX:
upnpc_path = os.path.join( HC.BIN_DIR, 'upnpc_lin... | <filename>include/HydrusNATPunch.py
import HydrusConstants as HC
import HydrusData
import HydrusExceptions
import HydrusText
import os
import shlex
import socket
import subprocess
import threading
import traceback
# new stuff starts here
if HC.PLATFORM_LINUX:
upnpc_path = os.path.join( HC.BIN_DIR, 'upnpc_lin... | en | 0.33493 | # new stuff starts here ExternalIPAddress = ip 0 UDP 65533->192.168.0.197:65533 'Skype UDP at 192.168.0.197:65533 (2665)' '' 0 | 1.976149 | 2 |
binary_image_processing.py | Geo-Joy/opencv-basic-hacks | 0 | 6621018 | import cv2
import numpy as np
### THRESHOLDING
# reading the image as greyscale
org_img = cv2.imread("data/images/threshold.png", cv2.IMREAD_GRAYSCALE)
threshold = 0 # set value above which thresholding works
maxValue = 255 # min value below which thresholding should be applied
#retval, dst = cv.threshol... | import cv2
import numpy as np
### THRESHOLDING
# reading the image as greyscale
org_img = cv2.imread("data/images/threshold.png", cv2.IMREAD_GRAYSCALE)
threshold = 0 # set value above which thresholding works
maxValue = 255 # min value below which thresholding should be applied
#retval, dst = cv.threshol... | en | 0.761203 | ### THRESHOLDING # reading the image as greyscale # set value above which thresholding works # min value below which thresholding should be applied #retval, dst = cv.threshold(src, thresh, maxval, type[, dst]) # display the images # write the new image to disk ### Dilation # We create the kernel/structuring element tha... | 3.751095 | 4 |
src_gpu/preprocessing/breast_detection/crop_main_file.py | rogov-dvp/medical-imaging-matching | 1 | 6621019 | #What packages were installed:
#
# python 3.9.7
# pip 21.2.4
# tensorflow 2.8.0
# opencv
# https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html
# (CPU):
# - download protobuf version: https://github.com/protocolbuffers/protobuf/releases/tag/v3.19.4
# - Add to environment path ... | #What packages were installed:
#
# python 3.9.7
# pip 21.2.4
# tensorflow 2.8.0
# opencv
# https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html
# (CPU):
# - download protobuf version: https://github.com/protocolbuffers/protobuf/releases/tag/v3.19.4
# - Add to environment path ... | en | 0.580216 | #What packages were installed: # # python 3.9.7 # pip 21.2.4 # tensorflow 2.8.0 # opencv # https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html # (CPU): # - download protobuf version: https://github.com/protocolbuffers/protobuf/releases/tag/v3.19.4 # - Add to environment path <... | 2.279964 | 2 |
minigrid_and_pd_experiments/base.py | allenai/advisor | 5 | 6621020 | import abc
import math
import os
from typing import (
Optional,
List,
Any,
Dict,
cast,
Sequence,
Callable,
Union,
NamedTuple,
)
import gym
import torch
from gym_minigrid.minigrid import Lava, WorldObj, Wall
from torch import nn, optim
from torch.optim.lr_scheduler import LambdaLR
f... | import abc
import math
import os
from typing import (
Optional,
List,
Any,
Dict,
cast,
Sequence,
Callable,
Union,
NamedTuple,
)
import gym
import torch
from gym_minigrid.minigrid import Lava, WorldObj, Wall
from torch import nn, optim
from torch.optim.lr_scheduler import LambdaLR
f... | en | 0.480996 | # Default MiniGrid values # Default Poisoned Doors values # Training params # if torch.cuda.is_available() else 1 # Hyperparameters # Auxiliary head parameters # Logging / saving Base experiment. All information needed about the underlying task. # Returns Dictionary of useful information: ... | 1.544206 | 2 |
services/service-api/lib/wikipedia.py | elaisasearch/elaisa.org | 2 | 6621021 | """
Handles the Wikipedia data for the user's search value.
"""
import wikipedia
def getWikiEntry(terms: list, language: str) -> dict:
"""
Takes the user's search term and chosen language and returns the wikipedia article information.
:terms: List
:language: String
:return: Dictionary
"""
... | """
Handles the Wikipedia data for the user's search value.
"""
import wikipedia
def getWikiEntry(terms: list, language: str) -> dict:
"""
Takes the user's search term and chosen language and returns the wikipedia article information.
:terms: List
:language: String
:return: Dictionary
"""
... | en | 0.577977 | Handles the Wikipedia data for the user's search value. Takes the user's search term and chosen language and returns the wikipedia article information. :terms: List :language: String :return: Dictionary | 3.758421 | 4 |
python/qilinguist/worktree.py | vbarbaresi/qibuild | 0 | 6621022 | # Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYING file.
import os
from qisys import ui
import qisys.worktree
import qisys.qixml
class LinguistWorkTree(qisys.worktree.WorkTreeObserver):
def __init__(se... | # Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the COPYING file.
import os
from qisys import ui
import qisys.worktree
import qisys.qixml
class LinguistWorkTree(qisys.worktree.WorkTreeObserver):
def __init__(se... | en | 0.714176 | # Copyright (c) 2012-2018 SoftBank Robotics. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the COPYING file. \ Found two projects with the same name ({0}) In: * {1} * {2} # pylint: disable=unused-argument # try deprecated name too \ Unknow translation framework... | 2.26642 | 2 |
fiery/models/__init__.py | sty61010/fiery | 0 | 6621023 | from importlib import import_module
from fiery.layers.bev_self_attention import BEVSelfAttention
from fiery.models.encoder import ImageAttention
from fiery.models.head_wrappers.Anchor3DHeadWrapper import Anchor3DHeadWrapper
from fiery.models.head_wrappers.CenterHeadWrapper import CenterHeadWrapper
def import_obj(cfg... | from importlib import import_module
from fiery.layers.bev_self_attention import BEVSelfAttention
from fiery.models.encoder import ImageAttention
from fiery.models.head_wrappers.Anchor3DHeadWrapper import Anchor3DHeadWrapper
from fiery.models.head_wrappers.CenterHeadWrapper import CenterHeadWrapper
def import_obj(cfg... | none | 1 | 2.158286 | 2 | |
DaPy/methods/evaluator.py | huihui7987/DaPy | 552 | 6621024 | from DaPy.core import Matrix, SeriesSet, Series
from DaPy.core import LogInfo, LogWarn, LogErr, is_seq
from DaPy.matlib import zeros, mean
from math import sqrt
def ConfuMat(Y, y_, labels):
'''calculate confution Matrix'''
labels = sorted(set(Y) | set(y_))
confu = zeros((len(labels) + 1, len(labels) + 1)... | from DaPy.core import Matrix, SeriesSet, Series
from DaPy.core import LogInfo, LogWarn, LogErr, is_seq
from DaPy.matlib import zeros, mean
from math import sqrt
def ConfuMat(Y, y_, labels):
'''calculate confution Matrix'''
labels = sorted(set(Y) | set(y_))
confu = zeros((len(labels) + 1, len(labels) + 1)... | en | 0.606136 | calculate confution Matrix performace score to evalulate a regressor | 2.224506 | 2 |
planner.py | haeinous/a-relational-db | 0 | 6621025 | #!/usr/bin/python3
"""
Implement a Scan node that yields a single record each time its next method is called, as well as
a Selection node initialized with a predicate function (one which returns true or false), which yields
the next record for which the predicate function returns true whenever its own next method is ... | #!/usr/bin/python3
"""
Implement a Scan node that yields a single record each time its next method is called, as well as
a Selection node initialized with a predicate function (one which returns true or false), which yields
the next record for which the predicate function returns true whenever its own next method is ... | en | 0.935807 | #!/usr/bin/python3 Implement a Scan node that yields a single record each time its next method is called, as well as a Selection node initialized with a predicate function (one which returns true or false), which yields the next record for which the predicate function returns true whenever its own next method is calle... | 3.218206 | 3 |
factories/go_ethereum_osx.py | vaporyproject/ethereum-buildbot | 35 | 6621026 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import factory
reload(factory)
from factory import *
def osx_go_factory(branch='develop', isPullRequest=False):
factory = BuildFactory()
for step in [
Git(
haltOnFailure=True,
logEnviron=False,
repourl='https://github.... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import factory
reload(factory)
from factory import *
def osx_go_factory(branch='develop', isPullRequest=False):
factory = BuildFactory()
for step in [
Git(
haltOnFailure=True,
logEnviron=False,
repourl='https://github.... | en | 0.352855 | #!/usr/bin/env python # -*- coding: utf-8 -*- | 2.004995 | 2 |
mars_scrape.py | Megaexoplanet/Web_scraping_challenge | 0 | 6621027 | <gh_stars>0
from splinter import Browser
from bs4 import BeautifulSoup as bs
import pandas as pd
import re
import time
def scrape():
browser = Browser('chrome',executable_path='chromedriver', headless=True)
news_title,news_p = mars_news(browser)
mars_data = {
'mars_title': news_title,
... | from splinter import Browser
from bs4 import BeautifulSoup as bs
import pandas as pd
import re
import time
def scrape():
browser = Browser('chrome',executable_path='chromedriver', headless=True)
news_title,news_p = mars_news(browser)
mars_data = {
'mars_title': news_title,
'mars_p': n... | en | 0.329858 | # # Visit the NASA Mars News Site # JPL Space Images Featured Image # Mars Weather # Mars Hemispheres # Mars Facts | 3.042222 | 3 |
scrapybot/urlf/__init__.py | roadt/scrapybot | 0 | 6621028 |
import re
from functools import partial
def scheme(url, **kwargs):
schemes = 'scheme' in kwargs and kwargs['scheme'].split(',') or ['http','https']
return any(map(lambda scheme: url.startswith(scheme+'://'), schemes))
def regex(url, **kwargs):
exprs = 'regex' in kwargs and kwargs['regex'].split(',... |
import re
from functools import partial
def scheme(url, **kwargs):
schemes = 'scheme' in kwargs and kwargs['scheme'].split(',') or ['http','https']
return any(map(lambda scheme: url.startswith(scheme+'://'), schemes))
def regex(url, **kwargs):
exprs = 'regex' in kwargs and kwargs['regex'].split(',... | none | 1 | 2.953453 | 3 | |
src/domainClient/api/demographics_api.py | diabolical-ninja/smart-property-search | 5 | 6621029 | <filename>src/domainClient/api/demographics_api.py<gh_stars>1-10
# coding: utf-8
"""
Domain Group API V1
Provides public access to Domain's microservices # noqa: E501
OpenAPI spec version: v1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_... | <filename>src/domainClient/api/demographics_api.py<gh_stars>1-10
# coding: utf-8
"""
Domain Group API V1
Provides public access to Domain's microservices # noqa: E501
OpenAPI spec version: v1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_... | en | 0.588243 | # coding: utf-8 Domain Group API V1 Provides public access to Domain's microservices # noqa: E501 OpenAPI spec version: v1 Generated by: https://github.com/swagger-api/swagger-codegen.git # noqa: F401 # python 2 and python 3 compatibility library NOTE: This class is auto generated by the swagger cod... | 2.533288 | 3 |
main/models.py | r4bc1/monaco_2018_racing | 0 | 6621030 | from peewee import *
db = SqliteDatabase("report.db")
class Racer(Model):
position = IntegerField()
name = CharField()
team = CharField()
time = CharField()
driver_id = CharField()
class Meta:
database = db
| from peewee import *
db = SqliteDatabase("report.db")
class Racer(Model):
position = IntegerField()
name = CharField()
team = CharField()
time = CharField()
driver_id = CharField()
class Meta:
database = db
| none | 1 | 2.443696 | 2 | |
Estrutura_Decisao/pay_your_taxes.py | M3nin0/supreme-broccoli | 0 | 6621031 | <reponame>M3nin0/supreme-broccoli
valor = int(input("Insira o valor da hora: "))
hora = int(input("Insira a quntidade de horas trabalhadas: "))
sb = valor * hora
if sb <= 900:
inss = sb * (10 / 100)
fgts = sb * (11 / 100)
desc = inss + fgts
print ("O valor total dos descontos é:",desc,"\nE seu salario liquido é:",... | valor = int(input("Insira o valor da hora: "))
hora = int(input("Insira a quntidade de horas trabalhadas: "))
sb = valor * hora
if sb <= 900:
inss = sb * (10 / 100)
fgts = sb * (11 / 100)
desc = inss + fgts
print ("O valor total dos descontos é:",desc,"\nE seu salario liquido é:",sb - desc)
elif sb > 900 and sb <... | none | 1 | 3.882248 | 4 | |
pkg_tf_micromouse/scripts/obstacle.py | SuyashVerma2311/micromouse_maze_solver | 0 | 6621032 | <filename>pkg_tf_micromouse/scripts/obstacle.py
import rospy
from sensor_msgs.msg import LaserScan
from geometry_msgs.msg import Twist
from nav_msgs.msg import Odometry
from tf import transformations
import numpy as np
class Obstacle(object):
def __init__(self, delta_err=3):
self.sub = rospy.Subscriber('/m... | <filename>pkg_tf_micromouse/scripts/obstacle.py
import rospy
from sensor_msgs.msg import LaserScan
from geometry_msgs.msg import Twist
from nav_msgs.msg import Odometry
from tf import transformations
import numpy as np
class Obstacle(object):
def __init__(self, delta_err=3):
self.sub = rospy.Subscriber('/m... | en | 0.393115 | # left-center-right # print("size: ", len(msg.ranges)) # position # yaw | 2.240153 | 2 |
scripts/email-anonymizer.py | bokysan/docker-postfix | 271 | 6621033 | <filename>scripts/email-anonymizer.py<gh_stars>100-1000
#!/usr/bin/env python3
"""
Filter to anonyimize email addresses. It reads input line by line,
finds all emails in the input and masks them using given filter.
Big thanks to [<NAME>](https://github.com/sdelrio)
for the concept and the idea, although not a lot of... | <filename>scripts/email-anonymizer.py<gh_stars>100-1000
#!/usr/bin/env python3
"""
Filter to anonyimize email addresses. It reads input line by line,
finds all emails in the input and masks them using given filter.
Big thanks to [<NAME>](https://github.com/sdelrio)
for the concept and the idea, although not a lot of... | en | 0.847476 | #!/usr/bin/env python3 Filter to anonyimize email addresses. It reads input line by line, finds all emails in the input and masks them using given filter. Big thanks to [<NAME>](https://github.com/sdelrio) for the concept and the idea, although not a lot of the code went into this commit in the end. # BIG FAT NOTICE o... | 3.38834 | 3 |
rascil/__init__.py | SKA-ScienceDataProcessor/rascil | 7 | 6621034 |
from . import data_models
from . import processing_components
from . import workflows
from .processing_components.util.installation_checks import check_data_directory
from astropy.utils import iers, data
check_data_directory()
# iers.conf.auto_max_age = None
iers.conf.remote_timeout = 100.0
data.conf.download_cache... |
from . import data_models
from . import processing_components
from . import workflows
from .processing_components.util.installation_checks import check_data_directory
from astropy.utils import iers, data
check_data_directory()
# iers.conf.auto_max_age = None
iers.conf.remote_timeout = 100.0
data.conf.download_cache... | it | 0.542374 | # iers.conf.auto_max_age = None | 1.239912 | 1 |
schema/queries.py | benyakirten/a-weeks-worth-backend | 0 | 6621035 | <filename>schema/queries.py
import graphene
from graphene_django import DjangoListField
from graphql_jwt.decorators import login_required, superuser_required
from aww.models import Individual, Group, Recipe
from .types import (
RecipeStepType,
RecipeIngredientType,
RecipeType,
GroupShoppingItemType,
... | <filename>schema/queries.py
import graphene
from graphene_django import DjangoListField
from graphql_jwt.decorators import login_required, superuser_required
from aww.models import Individual, Group, Recipe
from .types import (
RecipeStepType,
RecipeIngredientType,
RecipeType,
GroupShoppingItemType,
... | en | 0.962366 | # This same function is better done by the MeQuery. # That said, this is a function for a superuser to look for an individual # No idea why you'd ever need this query, given the MeQuery # But might as well get some experience | 2.588155 | 3 |
vision/api/label/snippets_test.py | baditaflorin/python-docs-samples | 1 | 6621036 | <reponame>baditaflorin/python-docs-samples
#!/usr/bin/env python
# Copyright 2016 Google, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | #!/usr/bin/env python
# Copyright 2016 Google, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | en | 0.830997 | #!/usr/bin/env python # Copyright 2016 Google, Inc # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ... | 2.281902 | 2 |
gen_sql_handler.py | freewillfx-azenqos/azm_db_merge | 5 | 6621037 | <gh_stars>1-10
'''
module to handle merging (importing) of (azqdata.db from
azq .azm files) sqlite3 dump lines into a PostgreSQL and Microsoft SQL Server db.
Copyright: Copyright (C) 2016 Freewill FX Co., Ltd. All rights reserved.
'''
from debug_helpers import dprint
import azm_db_constants
from subprocess import ca... | '''
module to handle merging (importing) of (azqdata.db from
azq .azm files) sqlite3 dump lines into a PostgreSQL and Microsoft SQL Server db.
Copyright: Copyright (C) 2016 Freewill FX Co., Ltd. All rights reserved.
'''
from debug_helpers import dprint
import azm_db_constants
from subprocess import call
import os
im... | en | 0.627925 | module to handle merging (importing) of (azqdata.db from azq .azm files) sqlite3 dump lines into a PostgreSQL and Microsoft SQL Server db. Copyright: Copyright (C) 2016 Freewill FX Co., Ltd. All rights reserved. # global vars # would be set in --unmerge mode now we already use 'autocommit = True' as recommended by MSD... | 1.976641 | 2 |
ui/pypesvds/controllers/project.py | onfire73/pypeskg | 117 | 6621038 | import logging
import traceback
import json
from pylons import request, response, session, tmpl_context as c
from pylons import app_globals
from pylons.controllers.util import abort
# added for auth
from authkit.authorize.pylons_adaptors import authorize
from authkit.permissions import RemoteUser, ValidAuthKitUser, Us... | import logging
import traceback
import json
from pylons import request, response, session, tmpl_context as c
from pylons import app_globals
from pylons.controllers.util import abort
# added for auth
from authkit.authorize.pylons_adaptors import authorize
from authkit.permissions import RemoteUser, ValidAuthKitUser, Us... | en | 0.56645 | # added for auth REST Controller styled on the Atom Publishing Protocol # To properly map this controller, ensure your config/routing.py # file has a resource setup: # map.resource('project', 'project') #@authorize(ValidAuthKitUser()) GET /project: All items in the collection # url('project') POST /project: Create ... | 2.224518 | 2 |
photogrid.py | stnc-python/Tasvirci | 0 | 6621039 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Tasvirci by OsmanDE
# github.com/OsmanDE/Tasvirci
from photogrid_dialog import Ui_GridDialog
from gridsetup_dialog import Ui_GridSetupDialog
from PyQt5.QtCore import Qt, QObject, pyqtSignal, QRect, QPoint
from PyQt5.QtGui import QPixmap, QPainter, QImageReader, QPen
from... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Tasvirci by OsmanDE
# github.com/OsmanDE/Tasvirci
from photogrid_dialog import Ui_GridDialog
from gridsetup_dialog import Ui_GridSetupDialog
from PyQt5.QtCore import Qt, QObject, pyqtSignal, QRect, QPoint
from PyQt5.QtGui import QPixmap, QPainter, QImageReader, QPen
from... | tr | 0.994764 | #!/usr/bin/env python # -*- coding: utf-8 -*- # Tasvirci by OsmanDE # github.com/OsmanDE/Tasvirci Resim koymak için bir resim thumbnaili seç. Seçtiğin fotoğrafı koymak için boş kutulardan birine tıkla. Eğer gridi daha farklı resimlerden oluşturmak istiyorsan fotoğraf ekleme kısmını seç. Yeni bir resim seçerek eski re... | 1.967031 | 2 |
nmt/data/tools/fuse_bpe_all.py | xjz92/Attach-Dictionary | 1 | 6621040 | <reponame>xjz92/Attach-Dictionary<filename>nmt/data/tools/fuse_bpe_all.py<gh_stars>1-10
def load_dictionary(ent_path,def_path):
dicti={}
for ents, defs in zip(open(ent_path),open(def_path)):
entry=ents.strip('\n')
defini=defs.strip('\n')
#print(len(defini.split()))
if(entry!=defi... | def load_dictionary(ent_path,def_path):
dicti={}
for ents, defs in zip(open(ent_path),open(def_path)):
entry=ents.strip('\n')
defini=defs.strip('\n')
#print(len(defini.split()))
if(entry!=defini):
dicti[entry]=defini
sorted_items= sorted(dicti.items(), key=lambda ... | ru | 0.260892 | #print(len(defini.split())) #print(len(out)) | 2.915988 | 3 |
rec_app/src/data.py | LukasSteffensen/movielens-imdb-exploration | 30 | 6621041 | <reponame>LukasSteffensen/movielens-imdb-exploration
import pandas as pd
import datetime, time
import os
import random
import numpy as np
import scipy.sparse as sp
import json
from IPython.display import Image
import base64
from imdbpie import Imdb
import requests
DATA_DIR = "../../movielens-imdb-exploration/data"
de... | import pandas as pd
import datetime, time
import os
import random
import numpy as np
import scipy.sparse as sp
import json
from IPython.display import Image
import base64
from imdbpie import Imdb
import requests
DATA_DIR = "../../movielens-imdb-exploration/data"
def string2ts(string, fmt="%Y-%m-%d %H:%M:%S"):
dt ... | en | 0.811003 | # MOVIES # TODO: just temporary, later remove # RATINGS # USERS # TODO: just temporary, later remove #additional_rows = ["user_zipcode"] #df_users = df_users.drop(additional_rows, axis=1) # ALL # Creating UID, IID, FID # movies # users # shape [n_users, n_user_features] # user initial input that will be given to him to... | 2.731553 | 3 |
myworkspace/translate_tutorial/cnn_test.py | haochen12/dpPython | 0 | 6621042 | <filename>myworkspace/translate_tutorial/cnn_test.py
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
from tensorflow.keras import datasets, models
from tensorflow.keras.layers import Dense, Conv2D, MaxPooling2D, Dropout, Flatten
from tensorflow.keras.utils im... | <filename>myworkspace/translate_tutorial/cnn_test.py
from __future__ import absolute_import, division, print_function, unicode_literals
import tensorflow as tf
from tensorflow.keras import datasets, models
from tensorflow.keras.layers import Dense, Conv2D, MaxPooling2D, Dropout, Flatten
from tensorflow.keras.utils im... | none | 1 | 3.107594 | 3 | |
src/pynn/bin/decode_g2p.py | enesyugan/yapay-nn | 0 | 6621043 | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 <NAME>
# Licensed under the Apache License, Version 2.0 (the "License")
import time
import argparse
import torch
from pynn.util import load_object
from pynn.decoder.s2s import beam_search
from pynn.util.text import load_dict, write_hypo
parser = argparse.A... | #!/usr/bin/env python3
# encoding: utf-8
# Copyright 2019 <NAME>
# Licensed under the Apache License, Version 2.0 (the "License")
import time
import argparse
import torch
from pynn.util import load_object
from pynn.decoder.s2s import beam_search
from pynn.util.text import load_dict, write_hypo
parser = argparse.A... | en | 0.712648 | #!/usr/bin/env python3 # encoding: utf-8 # Copyright 2019 <NAME> # Licensed under the Apache License, Version 2.0 (the "License") #seq = [src_dic[ch] for ch in word] | 2.157879 | 2 |
utils/util.py | mchirico/gmail | 1 | 6621044 | <reponame>mchirico/gmail
import pickle
from os import path
def pickle_it(file, obj):
with open(file, 'wb') as f:
pickle.dump(obj, f)
def unpickle_it(file):
with open(file, 'rb') as f:
return pickle.load(f)
def findFile(file="bigquery.json"):
if path.exists("credentials/{}".format(file)... | import pickle
from os import path
def pickle_it(file, obj):
with open(file, 'wb') as f:
pickle.dump(obj, f)
def unpickle_it(file):
with open(file, 'rb') as f:
return pickle.load(f)
def findFile(file="bigquery.json"):
if path.exists("credentials/{}".format(file)):
return "creden... | none | 1 | 2.883862 | 3 | |
regionalSwordFernDieOff/generateDirectories.py | paul-shannon/annotatedMap | 0 | 6621045 | import json
import os
import yaml
sites = json.load(open('v4.js'))
for i in range(len(sites)):
directoryName = "site.%04d" % i
if(not os.path.exists(directoryName)):
os.mkdir(directoryName)
print(" %s exists? %s" % (directoryName, os.path.exists(directoryName)))
site = sites[i]
site["firstReporte... | import json
import os
import yaml
sites = json.load(open('v4.js'))
for i in range(len(sites)):
directoryName = "site.%04d" % i
if(not os.path.exists(directoryName)):
os.mkdir(directoryName)
print(" %s exists? %s" % (directoryName, os.path.exists(directoryName)))
site = sites[i]
site["firstReporte... | en | 0.484802 | # site.yaml # firstReported: 2013-10-01 # lastUpdate: 2019-03-01 # contact: <NAME> # radius: 100 # area: 10 # severity: 10 # notesFile: notes.html # title: Seward Park Ground Zero # lat: 47.555474 # lon: -122.248945 # firstReported: 2013-10-01 # lastUpdate: 2019-03-01 # contact: <NAME> # radius: 100 # area: 10 # s... | 2.475645 | 2 |
japanese2phoneme/normalize.py | iory/japanese2phoneme | 0 | 6621046 | def normalize_japanese_text(line: str) -> str:
for char in [u"（", u"）", u" ", u"．", u"？", u"「", u"」",
u"［", u"］", u"＠Ｗ", u"＠Ｓ", u"＜", u"＞", u" ", u"。"]:
line = line.replace(char, "")
for char in [u"・", u"·"]:
line = line.replace(char, " ")
line = line.strip()
return li... | def normalize_japanese_text(line: str) -> str:
for char in [u"（", u"）", u" ", u"．", u"？", u"「", u"」",
u"［", u"］", u"＠Ｗ", u"＠Ｓ", u"＜", u"＞", u" ", u"。"]:
line = line.replace(char, "")
for char in [u"・", u"·"]:
line = line.replace(char, " ")
line = line.strip()
return li... | none | 1 | 3.402674 | 3 | |
rel8/app.py | aucontraire/rel8 | 0 | 6621047 | #!/usr/bin/env python3
"""rel8 Flask app"""
import binascii
import csv
import datetime
from dateutil import relativedelta
from flask import abort, flash, Flask, jsonify, render_template
from flask import redirect, request, session, stream_with_context, url_for
from flask_bcrypt import Bcrypt
from flask_login import Log... | #!/usr/bin/env python3
"""rel8 Flask app"""
import binascii
import csv
import datetime
from dateutil import relativedelta
from flask import abort, flash, Flask, jsonify, render_template
from flask import redirect, request, session, stream_with_context, url_for
from flask_bcrypt import Bcrypt
from flask_login import Log... | en | 0.315342 | #!/usr/bin/env python3 rel8 Flask app #TODO: keep? | 1.97264 | 2 |
ape_starknet/__init__.py | ApeWorX/ape-starknet | 0 | 6621048 | from ape import plugins
from ape.api.networks import LOCAL_NETWORK_NAME, NetworkAPI, create_network_type
from ape.types import AddressType
from ape_starknet._utils import NETWORKS, PLUGIN_NAME
from ape_starknet.accounts import StarknetAccountContracts, StarknetKeyfileAccount
from ape_starknet.config import StarknetCon... | from ape import plugins
from ape.api.networks import LOCAL_NETWORK_NAME, NetworkAPI, create_network_type
from ape.types import AddressType
from ape_starknet._utils import NETWORKS, PLUGIN_NAME
from ape_starknet.accounts import StarknetAccountContracts, StarknetKeyfileAccount
from ape_starknet.config import StarknetCon... | en | 0.97535 | # NOTE: This works for development providers, as they get chain_id from themselves | 2.01862 | 2 |
tests/test_mysql.py | dropbox/pytest-call-tracer | 5 | 6621049 | <filename>tests/test_mysql.py
from __future__ import absolute_import
import MySQLdb
from unittest import TestCase
class MySQLdbSampleTest(TestCase):
def setUp(self):
self.client = MySQLdb.connect()
def test_simple(self):
self.client.query('select 1')
r = self.client.use_result()
... | <filename>tests/test_mysql.py
from __future__ import absolute_import
import MySQLdb
from unittest import TestCase
class MySQLdbSampleTest(TestCase):
def setUp(self):
self.client = MySQLdb.connect()
def test_simple(self):
self.client.query('select 1')
r = self.client.use_result()
... | none | 1 | 2.53408 | 3 | |
vcdynhello.py | tjarrettveracode/veracode-dyn-hello-world | 0 | 6621050 | <gh_stars>0
import sys
import argparse
import logging
import json
import datetime
import anticrlf
from veracode_api_py import VeracodeAPI as vapi, Applications, Analyses, DynUtils
DEFAULT_BUSINESS_CRITICALITY = 'HIGH'
log = logging.getLogger(__name__)
def setup_logger():
handler = logging.FileHandler('vcdynhell... | import sys
import argparse
import logging
import json
import datetime
import anticrlf
from veracode_api_py import VeracodeAPI as vapi, Applications, Analyses, DynUtils
DEFAULT_BUSINESS_CRITICALITY = 'HIGH'
log = logging.getLogger(__name__)
def setup_logger():
handler = logging.FileHandler('vcdynhello.log', enco... | en | 0.775462 | #we get a datetime with timezone... # CHECK FOR CREDENTIALS EXPIRATION # check to see if already an application profile named the URL # create the application # check to see if we already have a dynamic analysis for this URL # configure the scan request # create the analysis # no JSON returned for create_analysis, need... | 2.18794 | 2 |