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 |
|---|---|---|---|---|---|---|---|---|---|---|
util/version.py | DevEliran/news-aggregator | 0 | 6621551 | """
Current Fuse version
"""
VERSION = "1.0.1"
| """
Current Fuse version
"""
VERSION = "1.0.1"
| en | 0.797927 | Current Fuse version | 1.052147 | 1 |
variants/gan-weightnorm/model.py | Robin-ML/gan | 2 | 6621552 | import torch
import torch.nn as nn
import torch.nn.functional as F
import modules
class Discriminator(nn.Module):
def __init__(self, w_in, h_in, num_features, num_blocks):
super(Discriminator, self).__init__()
f_prev = 3
w = w_in
h = h_in
self.net = nn.Sequential()
for i in range(len(num_features)):
... | import torch
import torch.nn as nn
import torch.nn.functional as F
import modules
class Discriminator(nn.Module):
def __init__(self, w_in, h_in, num_features, num_blocks):
super(Discriminator, self).__init__()
f_prev = 3
w = w_in
h = h_in
self.net = nn.Sequential()
for i in range(len(num_features)):
... | none | 1 | 2.409473 | 2 | |
containerd/types/descriptor_pb2.py | neuro-inc/platform-container-runtime | 0 | 6621553 | <gh_stars>0
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: containerd/types/descriptor.proto
"""Generated protocol buffer code."""
from google.protobuf import (
descriptor as _descriptor,
message as _message,
reflection as _reflection,
symbol_database as _symbol_database,
)
# @@pr... | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: containerd/types/descriptor.proto
"""Generated protocol buffer code."""
from google.protobuf import (
descriptor as _descriptor,
message as _message,
reflection as _reflection,
symbol_database as _symbol_database,
)
# @@protoc_inserti... | en | 0.379362 | # Generated by the protocol buffer compiler. DO NOT EDIT! # source: containerd/types/descriptor.proto Generated protocol buffer code. # @@protoc_insertion_point(imports) # @@protoc_insertion_point(class_scope:containerd.types.Descriptor.AnnotationsEntry) # @@protoc_insertion_point(class_scope:containerd.types.Descript... | 1.134596 | 1 |
ror/slope_constraints.py | jakub-tomczak/ror | 0 | 6621554 | import logging
from ror.Relation import Relation
from ror.Dataset import Dataset
from typing import List, Tuple
from ror.Constraint import Constraint, ConstraintVariable, ConstraintVariablesSet, ValueConstraintVariable
import numpy as np
# difference of 2 values greater than DIFF_EPS indicates that they are different... | import logging
from ror.Relation import Relation
from ror.Dataset import Dataset
from typing import List, Tuple
from ror.Constraint import Constraint, ConstraintVariable, ConstraintVariablesSet, ValueConstraintVariable
import numpy as np
# difference of 2 values greater than DIFF_EPS indicates that they are different... | en | 0.855065 | # difference of 2 values greater than DIFF_EPS indicates that they are different Returns slope constraint or None if there would be division by 0 (in case when g_i(l) == g_i(l-1) or g_i(l-1) == g_i(l-2)) Slope constraint is meeting the requirement | z - w | <= rho This constraint minimizes the differences betwe... | 2.570142 | 3 |
src/main.py | westernmagic/outer_ear | 0 | 6621555 | #!/usr/bin/env python
'''
Outer ear simulator
Author: <NAME> <<EMAIL>>
Version: 1.0.0
Data: 2019-09-09
'''
from typing import Tuple
import numpy as np
import scipy.io.wavfile as wav
import scipy.signal as ss
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from pysofaconventions import SOFAFile
def... | #!/usr/bin/env python
'''
Outer ear simulator
Author: <NAME> <<EMAIL>>
Version: 1.0.0
Data: 2019-09-09
'''
from typing import Tuple
import numpy as np
import scipy.io.wavfile as wav
import scipy.signal as ss
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from pysofaconventions import SOFAFile
def... | en | 0.775138 | #!/usr/bin/env python Outer ear simulator Author: <NAME> <<EMAIL>> Version: 1.0.0 Data: 2019-09-09 Apply effects of the head (HRTF) # find closest position to requested azimuth and elevation # TODO: consider normalizing position units to eg. degrees Apply effects of the ear canal Modeled as a bandpass filter, as ... | 2.487645 | 2 |
main.py | ProfessorBeekums/mtg-deck-stats | 0 | 6621556 | import json
import random
import sys
import time
import deck_stats.deck as deck
def analyze(deck_json):
my_deck = deck.Deck(deck_json)
# don't show dozens/hundreds of hands with less than 1% chance of occuring
num_hands_to_print = 9000
total_runs = 10000
opening_hand_mana = {}
for step in range(0, total_runs)... | import json
import random
import sys
import time
import deck_stats.deck as deck
def analyze(deck_json):
my_deck = deck.Deck(deck_json)
# don't show dozens/hundreds of hands with less than 1% chance of occuring
num_hands_to_print = 9000
total_runs = 10000
opening_hand_mana = {}
for step in range(0, total_runs)... | en | 0.884228 | # don't show dozens/hundreds of hands with less than 1% chance of occuring # TODO do we want to clone? shuffle modifies original # TODO do we need true randomness? Does this match Magic Arena's algorithm for randomness? # use shuffle instead of sample so we can see what next turns will look like # count mana in opening... | 3.299881 | 3 |
src/reminder/models.py | arnulfojr/sanic-persistance-patterns | 0 | 6621557 |
class MixinModel(dict):
__tablename__ = 'mixin_model'
@classmethod
def schema(cls):
raise NotImplemented
class Reminder(MixinModel):
"""Reminder object."""
__tablename__ = 'reminders'
@classmethod
def schema(cls):
return {
'TableName': cls.__tablename__,
... |
class MixinModel(dict):
__tablename__ = 'mixin_model'
@classmethod
def schema(cls):
raise NotImplemented
class Reminder(MixinModel):
"""Reminder object."""
__tablename__ = 'reminders'
@classmethod
def schema(cls):
return {
'TableName': cls.__tablename__,
... | en | 0.653751 | Reminder object. | 2.456501 | 2 |
memory_reader/stat_mappings.py | sparkie3/MF_run_counter | 43 | 6621558 | <filename>memory_reader/stat_mappings.py
import csv
from init import media_path
def load_stat_map():
with open(media_path + 'stat_map.csv', 'r') as fo:
out = {int(row['ID']): row for row in csv.DictReader(fo)}
return out
SKILLTABS = {
0: 'Bow Skills (Ama)',
1: 'PM Skills (Ama)',
2: 'Java... | <filename>memory_reader/stat_mappings.py
import csv
from init import media_path
def load_stat_map():
with open(media_path + 'stat_map.csv', 'r') as fo:
out = {int(row['ID']): row for row in csv.DictReader(fo)}
return out
SKILLTABS = {
0: 'Bow Skills (Ama)',
1: 'PM Skills (Ama)',
2: 'Java... | none | 1 | 3.230723 | 3 | |
server/tank.py | jacobrec/little-tanks | 0 | 6621559 | <reponame>jacobrec/little-tanks
import json
class Tank:
def __init__(self, conn, pos, angle):
self.conn = conn
self.pos = pos
self.angle = angle
def send_update(self):
self.conn.write_message(self)
def __str__(self):
return json.dumps({
"pos": self.pos... | import json
class Tank:
def __init__(self, conn, pos, angle):
self.conn = conn
self.pos = pos
self.angle = angle
def send_update(self):
self.conn.write_message(self)
def __str__(self):
return json.dumps({
"pos": self.pos,
"angle": self.angl... | none | 1 | 2.952393 | 3 | |
prcdns/__init__.py | Kiterepo/prc-dns | 52 | 6621560 | from . import index, white_domain
| from . import index, white_domain
| none | 1 | 1.038747 | 1 | |
history_generator/plan.py | ReedOei/History-Generator | 19 | 6621561 | <gh_stars>10-100
class Plan:
def __init__(self, parent, nation):
self.parent = parent
self.nation = nation
def build_plan(self):
return
| class Plan:
def __init__(self, parent, nation):
self.parent = parent
self.nation = nation
def build_plan(self):
return | none | 1 | 2.648461 | 3 | |
lcm/workflows/graphflow/task/lcm_sync_rest_task.py | onap/vfc-nfvo-lcm | 4 | 6621562 | # Copyright 2018 ZTE 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 ... | # Copyright 2018 ZTE 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 ... | en | 0.857076 | # Copyright 2018 ZTE 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 ... | 1.851094 | 2 |
mytest004.py | ShuailingZhao/mccnn | 0 | 6621563 | <reponame>ShuailingZhao/mccnn<gh_stars>0
#!/usr/bin/python
def printme( str ):
print str;
return;
| #!/usr/bin/python
def printme( str ):
print str;
return; | ru | 0.258958 | #!/usr/bin/python | 1.720785 | 2 |
Level25.py | z-Wind/Python_Challenge | 0 | 6621564 | <gh_stars>0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""http://www.pythonchallenge.com/pc/hex/lake.html"""
__author__ = "子風"
__copyright__ = "Copyright 2015, Sun All rights reserved"
__version__ = "1.0.0"
import get_challenge
import wave
wavs = [wave.open(get_challenge.download('butter', 'fly', 'http... | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""http://www.pythonchallenge.com/pc/hex/lake.html"""
__author__ = "子風"
__copyright__ = "Copyright 2015, Sun All rights reserved"
__version__ = "1.0.0"
import get_challenge
import wave
wavs = [wave.open(get_challenge.download('butter', 'fly', 'http://www.pytho... | en | 0.309463 | #!/usr/bin/env python # -*- coding: utf-8 -*- http://www.pythonchallenge.com/pc/hex/lake.html | 2.568923 | 3 |
cart/views.py | saptarsi96/FreshExpress | 0 | 6621565 | <filename>cart/views.py
from django.http.response import HttpResponse
from django.shortcuts import render, get_object_or_404, redirect
from cart.cart import Cart
from store.models import Product
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.views.decorators.ht... | <filename>cart/views.py
from django.http.response import HttpResponse
from django.shortcuts import render, get_object_or_404, redirect
from cart.cart import Cart
from store.models import Product
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.views.decorators.ht... | en | 0.968116 | # Create your views here. | 2.118001 | 2 |
kubuculum/statistics/stats_splitter/stats_splitter.py | manojtpillai/kubuculum | 3 | 6621566 |
import logging
import os
import kubuculum.statistics.util_functions
from kubuculum import util_functions
logger = logging.getLogger (__name__)
class stats_splitter:
def __init__ (self, run_dir, params_dict, globals):
# get directory pathname for module
self.dirpath = os.path.dirname (os.path.ab... |
import logging
import os
import kubuculum.statistics.util_functions
from kubuculum import util_functions
logger = logging.getLogger (__name__)
class stats_splitter:
def __init__ (self, run_dir, params_dict, globals):
# get directory pathname for module
self.dirpath = os.path.dirname (os.path.ab... | en | 0.272233 | # get directory pathname for module # update params # stats_dict is of the form: stats_module: {dict_of_params} | 2.297344 | 2 |
fem/base_app/gui/main_window/base_beta_menu.py | mjredmond/FEMApp | 1 | 6621567 | <reponame>mjredmond/FEMApp
from __future__ import print_function, absolute_import
import sys
import os.path
from qtpy import QtGui, QtCore, QtWidgets
from fem.base_app.configuration import BaseConfiguration
from fem.utilities import BaseObject
class BaseBetaMenu(BaseObject):
BaseConfiguration = BaseConfigurati... | from __future__ import print_function, absolute_import
import sys
import os.path
from qtpy import QtGui, QtCore, QtWidgets
from fem.base_app.configuration import BaseConfiguration
from fem.utilities import BaseObject
class BaseBetaMenu(BaseObject):
BaseConfiguration = BaseConfiguration
def __init__(self, ... | en | 0.202157 | :type: QtWidgets.QMenuBar | 2.169497 | 2 |
Tools/Scenarios/strip_code_tex.py | ErQing/Nova | 212 | 6621568 | #!/usr/bin/env python3
import re
from luaparser import astnodes
from nova_script_parser import (get_node_name, normalize_dialogue,
parse_chapters, walk_functions)
in_filename = 'scenario.txt'
out_filename = 'scenario_no_code.tex'
translate_data = [
('room', '房间'),
]
translate_dat... | #!/usr/bin/env python3
import re
from luaparser import astnodes
from nova_script_parser import (get_node_name, normalize_dialogue,
parse_chapters, walk_functions)
in_filename = 'scenario.txt'
out_filename = 'scenario_no_code.tex'
translate_data = [
('room', '房间'),
]
translate_dat... | en | 0.137602 | #!/usr/bin/env python3 #_{}': \documentclass{article} \usepackage[a4paper,left=1in,right=1in,top=1in,bottom=1in]{geometry} \usepackage[hidelinks]{hyperref} \usepackage{xcolor} \usepackage{xeCJK} \setlength{\parindent}{0pt} \setlength{\parskip}{1ex} | 2.811481 | 3 |
src/import_mat.py | JVini98/Synthetic_ECG | 0 | 6621569 | import scipy
from scipy import signal
from scipy.io import loadmat
import pandas as pd
import os
import shutil
import matplotlib.pyplot as plt
import numpy as np
out_dir = "/home/jvini/PycharmProjects/TFG_ECG/formated_data_AF_filtered"
os.makedirs(out_dir, exist_ok=True)
df = pd.read_csv(r'/home/jvini/PycharmProject... | import scipy
from scipy import signal
from scipy.io import loadmat
import pandas as pd
import os
import shutil
import matplotlib.pyplot as plt
import numpy as np
out_dir = "/home/jvini/PycharmProjects/TFG_ECG/formated_data_AF_filtered"
os.makedirs(out_dir, exist_ok=True)
df = pd.read_csv(r'/home/jvini/PycharmProject... | sr | 0.203548 | shutil.copy(f'{out_dir}/{10001 + af_files_counter * 10}.asc', f'{out_dir}/{10002 + af_files_counter * 10}.asc') shutil.copy(f'{out_dir}/{10001 + af_files_counter * 10}.asc', f'{out_dir}/{10003 + af_files_counter * 10}.asc') shutil.copy(f'{out_dir}/... | 2.309929 | 2 |
tasks/func/_tree.py | AntonObersteiner/python-lessons | 0 | 6621570 | import turtle
turtle.speed(0)
turtle.delay(0)
turtle.tracer(0, 0)
angle = 20
length = 50
inner = .9 * length
shrink = .8
leaf_width = 5
def segment(depth = 0, max_depth = 5):
if depth == max_depth:
turtle.fillcolor(0, depth / max_depth, 0)
turtle.begin_fill()
turtle.right(30)
tur... | import turtle
turtle.speed(0)
turtle.delay(0)
turtle.tracer(0, 0)
angle = 20
length = 50
inner = .9 * length
shrink = .8
leaf_width = 5
def segment(depth = 0, max_depth = 5):
if depth == max_depth:
turtle.fillcolor(0, depth / max_depth, 0)
turtle.begin_fill()
turtle.right(30)
tur... | none | 1 | 3.660294 | 4 | |
2018/05/alchemical_reduction.py | GeoffRiley/AdventOfCode | 2 | 6621571 | <filename>2018/05/alchemical_reduction.py
def react_all(new_str):
done = False
while not done:
done = True
old_str = new_str
last_char = old_str[0]
new_str = ''
skip = 0
for char in old_str[1:]:
if skip > 0:
skip -= 1
la... | <filename>2018/05/alchemical_reduction.py
def react_all(new_str):
done = False
while not done:
done = True
old_str = new_str
last_char = old_str[0]
new_str = ''
skip = 0
for char in old_str[1:]:
if skip > 0:
skip -= 1
la... | en | 0.435693 | # Day 5, part 1: 11540 # Day 5, part 2: 6918 | 3.304758 | 3 |
sdk/python/pulumi_scaleway/vpc_private_network.py | stack72/pulumi-scaleway | 6 | 6621572 | # 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | # 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | en | 0.744905 | # 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! *** The set of arguments for constructing a VpcPrivateNetwork resource. :param pulumi.Input[str] name: The name of the private netwo... | 2.343566 | 2 |
problems/daily_challenge/2021_03_03_missing_number/py/submissions/set_sol.py | phunc20/leetcode | 0 | 6621573 | <reponame>phunc20/leetcode
class Solution:
def missingNumber(self, nums: List[int]) -> int:
n = len(nums)
return (set(range(n+1)) - set(nums)).pop()
| class Solution:
def missingNumber(self, nums: List[int]) -> int:
n = len(nums)
return (set(range(n+1)) - set(nums)).pop() | none | 1 | 3.07829 | 3 | |
helloworld.py | mamonu/gh_Actions_CI | 0 | 6621574 | <reponame>mamonu/gh_Actions_CI<filename>helloworld.py
def add(a,b):
c = a + b
#duh!
return c
| def add(a,b):
c = a + b
#duh!
return c | none | 1 | 2.392347 | 2 | |
api.py | macgyvercsehdev/api_gerencianet | 0 | 6621575 | <filename>api.py
from requests.auth import HTTPBasicAuth
from requests import request, post
from dotenv import load_dotenv
from os import getenv
load_dotenv('.env')
def _token():
response = post(
url='%s/oauth/token' % getenv('URL_PROD'),
auth=HTTPBasicAuth(
getenv('CLIENT_ID_PROD'),
... | <filename>api.py
from requests.auth import HTTPBasicAuth
from requests import request, post
from dotenv import load_dotenv
from os import getenv
load_dotenv('.env')
def _token():
response = post(
url='%s/oauth/token' % getenv('URL_PROD'),
auth=HTTPBasicAuth(
getenv('CLIENT_ID_PROD'),
... | none | 1 | 2.650244 | 3 | |
app/services/nomics/rest_api_to_db/currencies/controller.py | Tinitto/crypto-exchange | 0 | 6621576 | <reponame>Tinitto/crypto-exchange<filename>app/services/nomics/rest_api_to_db/currencies/controller.py
"""
Controller for getting all currencies supported by Nomics
https://nomics.com/docs/#operation/getCurrencies
"""
from typing import Type, List
from judah.destinations.database.model import DatabaseBaseModel
from ju... | """
Controller for getting all currencies supported by Nomics
https://nomics.com/docs/#operation/getCurrencies
"""
from typing import Type, List
from judah.destinations.database.model import DatabaseBaseModel
from judah.transformers.base import BaseTransformer
from .destination.model import Currencies
from .source im... | en | 0.857901 | Controller for getting all currencies supported by Nomics https://nomics.com/docs/#operation/getCurrencies The controller for getting all supported currencies from Nomics # 1 day | 2.063257 | 2 |
app/ui/main_ui_page.py | leepan1991/onvif_device_manager_python | 3 | 6621577 | <filename>app/ui/main_ui_page.py
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import device_manager_setup
from app.http.http_utils import update_ip, update_device_time, get_default_gateway_ip
import ipaddress
try:
import Tkinter as tk
except ImportError:
import tkinter as tk
import tkinter.... | <filename>app/ui/main_ui_page.py
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import device_manager_setup
from app.http.http_utils import update_ip, update_device_time, get_default_gateway_ip
import ipaddress
try:
import Tkinter as tk
except ImportError:
import tkinter as tk
import tkinter.... | en | 0.666746 | #! /usr/bin/env python # -*- coding: utf-8 -*- Starting point when module is the main routine. Starting point when module is imported by another module. Correct form of call: 'create_Toplevel1(root, *args, **kwargs)' . # rt = root This class configures and populates the toplevel window. top is the to... | 2.450505 | 2 |
reason/metrics/_accuracy.py | alisoltanirad/Reason | 1 | 6621578 | <gh_stars>1-10
def accuracy(y_true, y_pred):
"""Accuracy score function.
Easy-to-use word tokenize function.
Example:
>>> from reason.metrics import accuracy
>>> accuracy(y_true, y_pred)
0.9358
Args:
y_true (list): Real labels.
y_pred (list): Predicted labels r... | def accuracy(y_true, y_pred):
"""Accuracy score function.
Easy-to-use word tokenize function.
Example:
>>> from reason.metrics import accuracy
>>> accuracy(y_true, y_pred)
0.9358
Args:
y_true (list): Real labels.
y_pred (list): Predicted labels returned by clas... | en | 0.670671 | Accuracy score function. Easy-to-use word tokenize function. Example: >>> from reason.metrics import accuracy >>> accuracy(y_true, y_pred) 0.9358 Args: y_true (list): Real labels. y_pred (list): Predicted labels returned by classifier. Returns: float: ... | 3.391712 | 3 |
day10-11/code/threads.py | liuchunhuicanfly/learning-python | 4 | 6621579 | # encoding: utf-8
from threading import currentThread, Thread, Lock
from time import time, sleep
from random import randint
# def download_task(filename):
# print('线程 %s 开始下载%s...' % (currentThread().name, filename))
# time_to_download = randint(5, 10)
# sleep(time_to_download)
# print('线程 %s 下载完成! 耗费了%d秒' % (cur... | # encoding: utf-8
from threading import currentThread, Thread, Lock
from time import time, sleep
from random import randint
# def download_task(filename):
# print('线程 %s 开始下载%s...' % (currentThread().name, filename))
# time_to_download = randint(5, 10)
# sleep(time_to_download)
# print('线程 %s 下载完成! 耗费了%d秒' % (cur... | en | 0.293581 | # encoding: utf-8 # def download_task(filename): # print('线程 %s 开始下载%s...' % (currentThread().name, filename)) # time_to_download = randint(5, 10) # sleep(time_to_download) # print('线程 %s 下载完成! 耗费了%d秒' % (currentThread().name, time_to_download)) # 单线程 # def main(): # start_time = time() # print('线程 %s is running.... | 3.582916 | 4 |
modules/sr/robot/vision/__init__.py | 13ros27/competition-simulator | 0 | 6621580 | from .api import tokens_from_objects
from .polar import PolarCoord, polar_from_cartesian
from .tokens import Face, Orientation
from .vectors import Vector
__all__ = (
'Face',
'Vector',
'PolarCoord',
'Orientation',
'tokens_from_objects',
'polar_from_cartesian',
)
| from .api import tokens_from_objects
from .polar import PolarCoord, polar_from_cartesian
from .tokens import Face, Orientation
from .vectors import Vector
__all__ = (
'Face',
'Vector',
'PolarCoord',
'Orientation',
'tokens_from_objects',
'polar_from_cartesian',
)
| none | 1 | 1.411338 | 1 | |
os_v4_hek/defs/tag_.py | holy-crust/reclaimer | 0 | 6621581 | <reponame>holy-crust/reclaimer
from ...os_v3_hek.defs.tag_ import *
| from ...os_v3_hek.defs.tag_ import * | none | 1 | 1.197808 | 1 | |
project/views/user.py | DanielGrams/gsevp | 1 | 6621582 | <gh_stars>1-10
from flask import render_template
from flask_security import auth_required
from project import app
from project.models import AdminUnitInvitation
from project.views.utils import get_invitation_access_result
@app.route("/profile")
@auth_required()
def profile():
return render_template("profile.html... | from flask import render_template
from flask_security import auth_required
from project import app
from project.models import AdminUnitInvitation
from project.views.utils import get_invitation_access_result
@app.route("/profile")
@auth_required()
def profile():
return render_template("profile.html")
@app.route... | none | 1 | 2.075438 | 2 | |
tests.py | oneassure-tech/onepipepy | 0 | 6621583 | import unittest
from src.onepipepy import *
#from models import *
from config import Config
from datetime import datetime
class PDTest(unittest.TestCase):
api = API(Config.PD_API_KEY)
vars = dict()
def test_search_person(self):
self.assertIsInstance(
self.api.search.search_items(
... | import unittest
from src.onepipepy import *
#from models import *
from config import Config
from datetime import datetime
class PDTest(unittest.TestCase):
api = API(Config.PD_API_KEY)
vars = dict()
def test_search_person(self):
self.assertIsInstance(
self.api.search.search_items(
... | en | 0.506495 | #from models import * | 2.812447 | 3 |
static_setup.py | kongwf5813/ANARCI | 0 | 6621584 | <filename>static_setup.py<gh_stars>0
#!/usr/bin/env python3
import shutil, os
if os.path.isdir("build"):
shutil.rmtree("build/")
from distutils.core import setup
setup(name='anarci',
version='1.3',
description='Antibody Numbering and Receptor ClassIfication',
author='<NAME>',
author_email... | <filename>static_setup.py<gh_stars>0
#!/usr/bin/env python3
import shutil, os
if os.path.isdir("build"):
shutil.rmtree("build/")
from distutils.core import setup
setup(name='anarci',
version='1.3',
description='Antibody Numbering and Receptor ClassIfication',
author='<NAME>',
author_email... | fr | 0.221828 | #!/usr/bin/env python3 | 1.459869 | 1 |
stage1/rubberdecode.py | fishilico/sstic-2015 | 0 | 6621585 | <filename>stage1/rubberdecode.py
#!/usr/bin/env python3
"""Decode the Rubber Ducky inject.bin compiled script"""
import struct
import sys
# Build a (opcode, modifier)-to-char dictonary
OM2C = {
(0x1e, 0): '1', (0x1e, 2): '!',
(0x1f, 0): '2', (0x1f, 2): '@',
(0x20, 0): '3', (0x20, 2): '#',
(0x21, 0): '4... | <filename>stage1/rubberdecode.py
#!/usr/bin/env python3
"""Decode the Rubber Ducky inject.bin compiled script"""
import struct
import sys
# Build a (opcode, modifier)-to-char dictonary
OM2C = {
(0x1e, 0): '1', (0x1e, 2): '!',
(0x1f, 0): '2', (0x1f, 2): '@',
(0x20, 0): '3', (0x20, 2): '#',
(0x21, 0): '4... | en | 0.69451 | #!/usr/bin/env python3 Decode the Rubber Ducky inject.bin compiled script # Build a (opcode, modifier)-to-char dictonary # Alphabet # "DELAY" is encoded with successive opcode-0 commands # WIN key + letter is encoded with modifier 8 | 2.820625 | 3 |
algorithms/BeamLstmWrapper.py | keith-leung/cis667-secretary-problem | 0 | 6621586 | <gh_stars>0
import random
import numpy as np
import torch as tr
import math
import pickle
# Define a small LSTM recurrent neural network with linear hidden-to-output layer
class BeamLstmWrapper():
def __init__(self, modelname='', word_path='', dictionary_path = '', net_path= ''):
self._name = modelname
... | import random
import numpy as np
import torch as tr
import math
import pickle
# Define a small LSTM recurrent neural network with linear hidden-to-output layer
class BeamLstmWrapper():
def __init__(self, modelname='', word_path='', dictionary_path = '', net_path= ''):
self._name = modelname
self._... | en | 0.854151 | # Define a small LSTM recurrent neural network with linear hidden-to-output layer # like_people is a list with data # like_people is a list with data ## return true or false , selected index # real prediction # ['3', '5', '7', '4', '3', '2'] # print(current_sentence) # keep the final(last word) prediction # ignore sing... | 2.992014 | 3 |
test/conftest.py | zli117/Evolution | 4 | 6621587 | <reponame>zli117/Evolution
from typing import Tuple
import pytest
from evolution.encoding.base import IdentityOperation
from evolution.encoding.base import MaxPool2D
from evolution.encoding.base import PointConv2D
from evolution.encoding.base import Vertex
from evolution.encoding.mutable_edge import MutableEdge
@py... | from typing import Tuple
import pytest
from evolution.encoding.base import IdentityOperation
from evolution.encoding.base import MaxPool2D
from evolution.encoding.base import PointConv2D
from evolution.encoding.base import Vertex
from evolution.encoding.mutable_edge import MutableEdge
@pytest.fixture()
def basic_gr... | none | 1 | 2.188356 | 2 | |
tests/GenPro/genetic_algorithm/individuals/test_basic.py | Hispar/procedural_generation | 0 | 6621588 | <filename>tests/GenPro/genetic_algorithm/individuals/test_basic.py
# -*- coding: utf-8 -*-
# Python imports
# 3rd Party imports
import pytest
# App imports
from src.GenPro.genetic_algorithm.individuals.basic import BasicIndividual
def test_individual_basic_fitness():
individual = BasicIndividual()
with pyte... | <filename>tests/GenPro/genetic_algorithm/individuals/test_basic.py
# -*- coding: utf-8 -*-
# Python imports
# 3rd Party imports
import pytest
# App imports
from src.GenPro.genetic_algorithm.individuals.basic import BasicIndividual
def test_individual_basic_fitness():
individual = BasicIndividual()
with pyte... | en | 0.750028 | # -*- coding: utf-8 -*- # Python imports # 3rd Party imports # App imports | 2.390129 | 2 |
tests/blessclient/awsmfautils_test.py | mwpeterson/python-blessclient | 115 | 6621589 | import blessclient.awsmfautils as awsmfautils
import os
import datetime
def test_unset_token():
os.environ['AWS_ACCESS_KEY_ID'] = 'foo'
os.environ['AWS_SESSION_TOKEN'] = 'foo'
os.environ['AWS_SECURITY_TOKEN'] = 'foo'
awsmfautils.unset_token()
assert 'AWS_ACCESS_KEY_ID' not in os.environ
assert... | import blessclient.awsmfautils as awsmfautils
import os
import datetime
def test_unset_token():
os.environ['AWS_ACCESS_KEY_ID'] = 'foo'
os.environ['AWS_SESSION_TOKEN'] = 'foo'
os.environ['AWS_SECURITY_TOKEN'] = 'foo'
awsmfautils.unset_token()
assert 'AWS_ACCESS_KEY_ID' not in os.environ
assert... | none | 1 | 2.064958 | 2 | |
jsb/plugs/common/remind.py | NURDspace/jsonbot | 1 | 6621590 | # jsb/plugs/common/remind.py
#
#
""" remind people .. say txt when somebody gets active """
## jsb imports
from jsb.utils.generic import getwho
from jsb.lib.commands import cmnds
from jsb.lib.examples import examples
from jsb.lib.callbacks import callbacks
from jsb.lib.persist import PlugPersist
## basic imports
i... | # jsb/plugs/common/remind.py
#
#
""" remind people .. say txt when somebody gets active """
## jsb imports
from jsb.utils.generic import getwho
from jsb.lib.commands import cmnds
from jsb.lib.examples import examples
from jsb.lib.callbacks import callbacks
from jsb.lib.persist import PlugPersist
## basic imports
i... | en | 0.648243 | # jsb/plugs/common/remind.py # # remind people .. say txt when somebody gets active ## jsb imports ## basic imports ## Remind-class remind object add a remind txt check if there is a remind for userhost send a user all registered reminds ## defines ## callbacks remind precondition remind callbacks ## remind command arg... | 2.470037 | 2 |
django/backend/nt_search/migrations/0004_remove_response_alignments.py | joeytab/ginkgo-project | 0 | 6621591 | # Generated by Django 3.2.7 on 2021-11-30 02:53
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('nt_search', '0003_alter_response_alignments'),
]
operations = [
migrations.RemoveField(
model_name='response',
name='alignme... | # Generated by Django 3.2.7 on 2021-11-30 02:53
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('nt_search', '0003_alter_response_alignments'),
]
operations = [
migrations.RemoveField(
model_name='response',
name='alignme... | en | 0.870599 | # Generated by Django 3.2.7 on 2021-11-30 02:53 | 1.350754 | 1 |
isaac-run-selector.py | gaizkadc/isaac-run-selector | 0 | 6621592 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Imports
import random
# Mode selector
def select_mode ():
mode = {
1: "Normal Run",
2: "Challenge"
}
mode_key = random.randint(1,2)
print mode[mode_key]
return mode_key
# Character selector
def select_character ():
character = {
... | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Imports
import random
# Mode selector
def select_mode ():
mode = {
1: "Normal Run",
2: "Challenge"
}
mode_key = random.randint(1,2)
print mode[mode_key]
return mode_key
# Character selector
def select_character ():
character = {
... | en | 0.651361 | #!/usr/bin/python # -*- coding: utf-8 -*- # Imports # Mode selector # Character selector # Difficulty selector # Select challenge # Main | 3.454755 | 3 |
iconservice/iconscore/icx.py | bayeshack2016/icon-service | 52 | 6621593 | <filename>iconservice/iconscore/icx.py
# -*- coding: utf-8 -*-
# Copyright 2018 ICON Foundation
#
# 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... | <filename>iconservice/iconscore/icx.py
# -*- coding: utf-8 -*-
# Copyright 2018 ICON Foundation
#
# 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... | en | 0.827194 | # -*- coding: utf-8 -*- # Copyright 2018 ICON Foundation # # 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 o... | 2.277047 | 2 |
view_real_results.py | crislmfroes/Parallel-Manipulation-DRL | 2 | 6621594 | from matplotlib import pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import pickle
import os
path = os.path.dirname(os.path.abspath(__file__))
list_dir = os.listdir(path + '/real_results/')
threshold_x = 10
threshold_y = 30
threshold = 10
STAGE = 4
c = 7
def antispike(old_list_x, old_list_y):
... | from matplotlib import pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import pickle
import os
path = os.path.dirname(os.path.abspath(__file__))
list_dir = os.listdir(path + '/real_results/')
threshold_x = 10
threshold_y = 30
threshold = 10
STAGE = 4
c = 7
def antispike(old_list_x, old_list_y):
... | en | 0.156207 | #x, y = antispike(x, y) | 2.403385 | 2 |
Curso_Python_3_UDEMY/banco_dados/sqllite.py | DanilooSilva/Cursos_de_Python | 0 | 6621595 | <reponame>DanilooSilva/Cursos_de_Python<gh_stars>0
from sqlite3 import connect, ProgrammingError, Row
tabela_grupo = '''CREATE TABLE IF NOT EXISTS GRUPOS(
ID INTEGER PRIMARY KEY AUTOINCREMENT,
DESCRICAO VARCHAR(30)
)'''
tabela_contatos = """
CREATE TABLE IF NOT EXISTS CONTATOS (
ID INTEGER PRIMAR... | from sqlite3 import connect, ProgrammingError, Row
tabela_grupo = '''CREATE TABLE IF NOT EXISTS GRUPOS(
ID INTEGER PRIMARY KEY AUTOINCREMENT,
DESCRICAO VARCHAR(30)
)'''
tabela_contatos = """
CREATE TABLE IF NOT EXISTS CONTATOS (
ID INTEGER PRIMARY KEY AUTOINCREMENT,
NOME VARCHAR(50),
... | en | 0.257806 | CREATE TABLE IF NOT EXISTS GRUPOS( ID INTEGER PRIMARY KEY AUTOINCREMENT, DESCRICAO VARCHAR(30) ) CREATE TABLE IF NOT EXISTS CONTATOS ( ID INTEGER PRIMARY KEY AUTOINCREMENT, NOME VARCHAR(50), TEL VARCHAR(40), IDGRUPO INTEGER, FOREIGN KEY (IDGRUPO) REFERENCES GRUPOS (ID) ... | 3.697391 | 4 |
kyu_6/unique_in_order/unique_in_order.py | pedrocodacyorg2/codewars | 1 | 6621596 | <filename>kyu_6/unique_in_order/unique_in_order.py
# Created by <NAME>.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
from typing import Iterable, List
def unique_in_order(iterable: Iterable) -> list:
"""
Takes as argument a sequence and returns a list
of it... | <filename>kyu_6/unique_in_order/unique_in_order.py
# Created by <NAME>.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
from typing import Iterable, List
def unique_in_order(iterable: Iterable) -> list:
"""
Takes as argument a sequence and returns a list
of it... | en | 0.720248 | # Created by <NAME>. # GitHub: https://github.com/ikostan # LinkedIn: https://www.linkedin.com/in/egor-kostan/ Takes as argument a sequence and returns a list of items without any elements with the same value next to each other and preserving the original order of elements. :param iterable: :retu... | 4.007282 | 4 |
backend/api/geoutils.py | hrbonz/wechat_hackathon_AQ | 2 | 6621597 | # -*- coding: utf-8 -*-
from geopy.distance import vincenty
import Geohash
def hash2tag(geohash):
return Geohash.decode(geohash.rstrip("0"))
def get_city(geotag):
# FIXME(stefan.berder): get to use baidu backend to resolve city
# g = geocoder.baidu()
# return g.city
return "shanghai"
def get_clo... | # -*- coding: utf-8 -*-
from geopy.distance import vincenty
import Geohash
def hash2tag(geohash):
return Geohash.decode(geohash.rstrip("0"))
def get_city(geotag):
# FIXME(stefan.berder): get to use baidu backend to resolve city
# g = geocoder.baidu()
# return g.city
return "shanghai"
def get_clo... | en | 0.598972 | # -*- coding: utf-8 -*- # FIXME(stefan.berder): get to use baidu backend to resolve city # g = geocoder.baidu() # return g.city | 3.122829 | 3 |
Exercise05/5-35.py | ywyz/IntroducingToProgrammingUsingPython | 0 | 6621598 | <gh_stars>0
'''
@Date: 2019-11-06 19:34:16
@Author: ywyz
@LastModifiedBy: ywyz
@Github: https://github.com/ywyz
@LastEditors: ywyz
@LastEditTime: 2019-11-06 19:35:11
'''
for i in range(1, 10001):
k = 0
for j in range(1, i):
if (i % j == 0):
k += j
if k == i:
print(k)
| '''
@Date: 2019-11-06 19:34:16
@Author: ywyz
@LastModifiedBy: ywyz
@Github: https://github.com/ywyz
@LastEditors: ywyz
@LastEditTime: 2019-11-06 19:35:11
'''
for i in range(1, 10001):
k = 0
for j in range(1, i):
if (i % j == 0):
k += j
if k == i:
print(k) | en | 0.364006 | @Date: 2019-11-06 19:34:16 @Author: ywyz @LastModifiedBy: ywyz @Github: https://github.com/ywyz @LastEditors: ywyz @LastEditTime: 2019-11-06 19:35:11 | 3.079033 | 3 |
streamlit_app.py | pipegalera/BasketballReference-Webscraper | 0 | 6621599 | from functions_app import *
st.markdown(" # :basketball: NBA Data Scraper :basketball:")
st.subheader('Web App by [Pipe Galera](https://www.pipegalera.com/)')
########################### Lists and Dictionaries ###########################
current_season = int(start_of_the_season_indicator()[5:])
seasons... | from functions_app import *
st.markdown(" # :basketball: NBA Data Scraper :basketball:")
st.subheader('Web App by [Pipe Galera](https://www.pipegalera.com/)')
########################### Lists and Dictionaries ###########################
current_season = int(start_of_the_season_indicator()[5:])
seasons... | de | 0.645552 | # :basketball: NBA Data Scraper :basketball:") ########################### Lists and Dictionaries ########################### ########################### Data Scraper ############################### | 3.355426 | 3 |
fcrepo_verify/constants.py | awoods/fcrepo-import-export-verify | 5 | 6621600 | <reponame>awoods/fcrepo-import-export-verify
__author__ = 'dbernstein'
EXT_MAP = {"application/ld+json": ".json",
"application/n-triples": ".nt",
"application/rdf+xml": ".xml",
"text/n3": ".n3",
"text/rdf+n3": ".n3",
"text/plain": ... | __author__ = 'dbernstein'
EXT_MAP = {"application/ld+json": ".json",
"application/n-triples": ".nt",
"application/rdf+xml": ".xml",
"text/n3": ".n3",
"text/rdf+n3": ".n3",
"text/plain": ".txt",
"text/turtle": ... | en | 0.236299 | #NonRDFSource" #contains" #hasVersion" #hasVersions" | 1.570847 | 2 |
Problems/Study Plans/Algorithm/Algorithm I/20_merge_two_sorted_lists.py | andor2718/LeetCode | 1 | 6621601 | <gh_stars>1-10
# https://leetcode.com/problems/merge-two-sorted-lists/
from typing import Optional
# Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def __repr__(self):
return f'{self.val}->{self.next}'
class ... | # https://leetcode.com/problems/merge-two-sorted-lists/
from typing import Optional
# Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def __repr__(self):
return f'{self.val}->{self.next}'
class Solution:
d... | en | 0.798306 | # https://leetcode.com/problems/merge-two-sorted-lists/ # Definition for singly-linked list. | 3.93327 | 4 |
sunpy/net/tests/test_hek.py | drewleonard42/sunpy | 0 | 6621602 | <gh_stars>0
# -*- coding: utf-8 -*-
# Author: <NAME> <<EMAIL>>
#pylint: disable=W0613
import pytest
from sunpy.net import hek
from sunpy.net import attr
@pytest.fixture
def foostrwrap(request):
return hek.attrs._StringParamAttrWrapper("foo")
def test_eventtype_collide():
with pytest.raises(TypeError):
... | # -*- coding: utf-8 -*-
# Author: <NAME> <<EMAIL>>
#pylint: disable=W0613
import pytest
from sunpy.net import hek
from sunpy.net import attr
@pytest.fixture
def foostrwrap(request):
return hek.attrs._StringParamAttrWrapper("foo")
def test_eventtype_collide():
with pytest.raises(TypeError):
hek.at... | en | 0.329143 | # -*- coding: utf-8 -*- # Author: <NAME> <<EMAIL>> #pylint: disable=W0613 | 2.11247 | 2 |
airflow/contrib/operators/postgres_to_csv_operator.py | katerinekhh/airflow | 0 | 6621603 | import csv
import sqlparse
from airflow.models import BaseOperator
from airflow.hooks.postgres_hook import PostgresHook
from airflow.utils.decorators import apply_defaults
class PostgresToCsvOperator(BaseOperator):
"""
Executes sql code in a specific Postgres database and creates a .csv file
with s... | import csv
import sqlparse
from airflow.models import BaseOperator
from airflow.hooks.postgres_hook import PostgresHook
from airflow.utils.decorators import apply_defaults
class PostgresToCsvOperator(BaseOperator):
"""
Executes sql code in a specific Postgres database and creates a .csv file
with s... | en | 0.479902 | Executes sql code in a specific Postgres database and creates a .csv file with selected data. CSV headers will match column names from sql select statement by default. Or can be passed as a parameter. :param sql: the sql code to be executed. (templated) :type sql: Can receive a str represen... | 2.916676 | 3 |
common/data/split.py | alainjungo/reliability-challenges-uncertainty | 56 | 6621604 | <gh_stars>10-100
import json
import operator
import numpy as np
import sklearn.model_selection as model_selection
import common.utils.filehelper as fh
def split_subjects(subjects: list, sizes: tuple) -> tuple:
nb_total = len(subjects)
counts = _normalize_sizes(sizes, nb_total)
nb_train, nb_valid = coun... | import json
import operator
import numpy as np
import sklearn.model_selection as model_selection
import common.utils.filehelper as fh
def split_subjects(subjects: list, sizes: tuple) -> tuple:
nb_total = len(subjects)
counts = _normalize_sizes(sizes, nb_total)
nb_train, nb_valid = counts[0], counts[1]
... | en | 0.866307 | # note: folds may not be of same size | 2.921885 | 3 |
Scripts/core/assertions.py | velocist/TS4CheatsInfo | 0 | 6621605 | <filename>Scripts/core/assertions.py
# uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Core\assertions.py
# Compiled at: 2015-02-04 23:14:34
# Size of source... | <filename>Scripts/core/assertions.py
# uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Core\assertions.py
# Compiled at: 2015-02-04 23:14:34
# Size of source... | en | 0.519486 | # uncompyle6 version 3.7.4 # Python bytecode 3.7 (3394) # Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)] # Embedded file name: T:\InGame\Gameplay\Scripts\Core\assertions.py # Compiled at: 2015-02-04 23:14:34 # Size of source mod 2**32: 4799 bytes | 1.679607 | 2 |
src/Chap14_Problem.py | falconlee236/CodingTheMatrix-Answer | 0 | 6621606 | <reponame>falconlee236/CodingTheMatrix-Answer
from mat import Mat
from vec import Vec
from solver import solve
print("# Probem 14.16.2")
# Probem 14.16.2
def find_move_helper(A, r):
return solve(A, Vec(A.D[0], {r: 1}))
A = Mat(({1, 2, 3}, {1, 2, 3}), {(1, 1): 1, (1, 2): 1, (2, 2): 1, (2, 3): 1, (3, 1): 1, (3,... | from mat import Mat
from vec import Vec
from solver import solve
print("# Probem 14.16.2")
# Probem 14.16.2
def find_move_helper(A, r):
return solve(A, Vec(A.D[0], {r: 1}))
A = Mat(({1, 2, 3}, {1, 2, 3}), {(1, 1): 1, (1, 2): 1, (2, 2): 1, (2, 3): 1, (3, 1): 1, (3, 3): 1})
print("# Problem 14.16.3")
# Proble... | en | 0.490311 | # Probem 14.16.2 # Problem 14.16.3 # Problem 14.16.4 | 3.037705 | 3 |
shin/apps.py | Hasun-Shin/Hasun-Shin.github.io | 0 | 6621607 | from django.apps import AppConfig
class ShinConfig(AppConfig):
name = 'shin'
| from django.apps import AppConfig
class ShinConfig(AppConfig):
name = 'shin'
| none | 1 | 1.036423 | 1 | |
anyway/database.py | AlonMaor14/anyway | 1 | 6621608 | from anyway.app_and_db import db
Base = db.Model
| from anyway.app_and_db import db
Base = db.Model
| none | 1 | 1.168609 | 1 | |
decred/tests/unit/dcr/test_vsp_unit.py | JoeGruffins/tinydecred | 0 | 6621609 | """
Copyright (c) 2020, the Decred developers
See LICENSE for details
"""
import time
import pytest
from decred import DecredError
from decred.dcr import vsp
from decred.dcr.nets import mainnet
from decred.util import encode
def test_result_is_success():
# (res, isSuccess)
tests = [
(dict(status="s... | """
Copyright (c) 2020, the Decred developers
See LICENSE for details
"""
import time
import pytest
from decred import DecredError
from decred.dcr import vsp
from decred.dcr.nets import mainnet
from decred.util import encode
def test_result_is_success():
# (res, isSuccess)
tests = [
(dict(status="s... | en | 0.783004 | Copyright (c) 2020, the Decred developers See LICENSE for details # (res, isSuccess) # bad version # too long # bad version # too long # correct address # valid but wrong address # invalid address # no address # ok # address not submitted # other error # wrong address # ok # error # updated # not updated # within the u... | 2.292958 | 2 |
line_counter.py | CedricFauth/LineCounter | 0 | 6621610 | import sys
import pathlib
def arg_help():
print("Wrong input format: " + str(sys.argv[1:]) + "\n")
print("Please use something like: python3 line_counter.py [PATH] [FILENAME]")
print("I.e. python3 line_counter.py /home/user/javaproject *.java")
def main():
p = pathlib.Path(sys.argv[1]).glob('**/' + sy... | import sys
import pathlib
def arg_help():
print("Wrong input format: " + str(sys.argv[1:]) + "\n")
print("Please use something like: python3 line_counter.py [PATH] [FILENAME]")
print("I.e. python3 line_counter.py /home/user/javaproject *.java")
def main():
p = pathlib.Path(sys.argv[1]).glob('**/' + sy... | en | 0.3905 | #print("\nFiles: " + str(files) + "\n") #print("Line: " + line) | 3.342638 | 3 |
code/python/archive/c0200_chart_patents.py | jesnyder/allogenic | 1 | 6621611 | import os
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from c0101_retrieve_clinical import retrieve_clinical
from c0201_query_patents import query_patents
def chart_patents():
"""
"""
query_patents()
# clinical_gov_url = 'https://clinicalt... | import os
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from c0101_retrieve_clinical import retrieve_clinical
from c0201_query_patents import query_patents
def chart_patents():
"""
"""
query_patents()
# clinical_gov_url = 'https://clinicalt... | en | 0.456956 | # clinical_gov_url = 'https://clinicaltrials.gov/ct2/results?cond=&term=&type=&rslt=&age_v=&gndr=&intr=allogenic+AND+msc&titles=&outc=&spons=&lead=&id=&cntry=&state=&city=&dist=&locn=&rsub=&strd_s=&strd_e=&prcd_s=&prcd_e=&sfpd_s=&sfpd_e=&rfpd_s=&rfpd_e=&lupd_s=&lupd_e=&sort=' # retrieve_clinical(clinical_gov_url) # pri... | 2.545362 | 3 |
test/sam_quest_tests.py | roryj/samquest | 3 | 6621612 | import unittest
from src.sam_quest import handle_game_state
from src.models import RequestType
from test_resources import get_game_state_table, MockTwitterApi
from moto import mock_dynamodb2
@mock_dynamodb2
class TestSAMQuest(unittest.TestCase):
def test_tweet_processing(self):
print('Im here!')
t... | import unittest
from src.sam_quest import handle_game_state
from src.models import RequestType
from test_resources import get_game_state_table, MockTwitterApi
from moto import mock_dynamodb2
@mock_dynamodb2
class TestSAMQuest(unittest.TestCase):
def test_tweet_processing(self):
print('Im here!')
t... | none | 1 | 2.402904 | 2 | |
cli.py | asmodehn/crypy | 2 | 6621613 | <filename>cli.py
import cmd
import os
import random
import sys
class StackableCmd(cmd.Cmd):
def __init__(self, prompt, completekey='tab', stdin=None, stdout=None):
self.prompt = prompt + ">"
super().__init__(completekey=completekey, stdin=stdin, stdout=stdout)
def precmd(self, line):
... | <filename>cli.py
import cmd
import os
import random
import sys
class StackableCmd(cmd.Cmd):
def __init__(self, prompt, completekey='tab', stdin=None, stdout=None):
self.prompt = prompt + ">"
super().__init__(completekey=completekey, stdin=stdin, stdout=stdout)
def precmd(self, line):
... | en | 0.541559 | # BROKEN : Closes stdin # TODO : fixit # prototype of command user interface | 2.969778 | 3 |
hic/test_hic.py | zelhar/mg21 | 0 | 6621614 | <reponame>zelhar/mg21
import straw
import numpy as np
from scipy.sparse import coo_matrix
import scipy.sparse as sparse
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib import cm
#https://colab.research.google.com/drive/1548GgZe7ndeZseaIQ1YQxnB5rMZWSsSj
straw.straw?
res = 100000*5
spmat =... | import straw
import numpy as np
from scipy.sparse import coo_matrix
import scipy.sparse as sparse
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib import cm
#https://colab.research.google.com/drive/1548GgZe7ndeZseaIQ1YQxnB5rMZWSsSj
straw.straw?
res = 100000*5
spmat = straw.straw(
"KR"... | en | 0.224252 | #https://colab.research.google.com/drive/1548GgZe7ndeZseaIQ1YQxnB5rMZWSsSj #x = coo_matrix((spmat[2], (spmat[1], spmat[0])), shape=(n+1,n+1)) #M = sparse.coo_matrix((V,(I,J)),shape=(sz,sz)).tocsr() #marks = np.tri(sz, sz, -1)*500 #plt.matshow(np.log(marks)) #plt.imshow(25500*np.log(x)) #plt.imshow(x) #sns.heatmap(np.lo... | 2.076137 | 2 |
sentence-reading/question_frame.py | michalovsky/knowlegde-based-ai-mini-projects | 0 | 6621615 | <reponame>michalovsky/knowlegde-based-ai-mini-projects<gh_stars>0
class QuestionFrame:
def __init__(self, question_words: list, subjects: list, noun: str):
self.question_words = question_words
self.subjects = subjects
self.noun = noun
def __str__(self):
return f"question words: ... | class QuestionFrame:
def __init__(self, question_words: list, subjects: list, noun: str):
self.question_words = question_words
self.subjects = subjects
self.noun = noun
def __str__(self):
return f"question words: {self.question_words}, subjects: {self.subjects}, noun: {self.noun... | none | 1 | 3.270805 | 3 | |
torchmeta/transforms/target_transforms.py | brando90/pytorch-meta | 1,704 | 6621616 | from torchvision.transforms import Compose, Resize, ToTensor
import PIL
class SegmentationPairTransform(object):
def __init__(self, target_size):
self.image_transform = Compose([Resize((target_size, target_size)), ToTensor()])
self.mask_transform = Compose([Resize((target_size, target_size),
... | from torchvision.transforms import Compose, Resize, ToTensor
import PIL
class SegmentationPairTransform(object):
def __init__(self, target_size):
self.image_transform = Compose([Resize((target_size, target_size)), ToTensor()])
self.mask_transform = Compose([Resize((target_size, target_size),
... | none | 1 | 2.737738 | 3 | |
app.py | webclinic017/alpha-2 | 2 | 6621617 | # ----------------------------------------------------------------------------#
# Imports
# ----------------------------------------------------------------------------#
# Flask stuffs
from flask import Flask, render_template, request, redirect, flash, url_for, session
# from flask_debugtoolbar import DebugToolbarExte... | # ----------------------------------------------------------------------------#
# Imports
# ----------------------------------------------------------------------------#
# Flask stuffs
from flask import Flask, render_template, request, redirect, flash, url_for, session
# from flask_debugtoolbar import DebugToolbarExte... | en | 0.569561 | # ----------------------------------------------------------------------------# # Imports # ----------------------------------------------------------------------------# # Flask stuffs # from flask_debugtoolbar import DebugToolbarExtension # SQL stuffs # from sqlalchemy.ext.declarative import declarative_base # Logging... | 1.82119 | 2 |
process_history.py | LulutasoAI/Extract_portfolio_info | 0 | 6621618 | import pickle_around
from matplotlib import pyplot as plt
import datetime
import matplotlib
if __name__ == "__main__":
data_loaded = pickle_around.load_object()
historical_assets_JPY = []
Data_date = []
for date in data_loaded:
print("The data of ",date)
extracted = data_loaded... | import pickle_around
from matplotlib import pyplot as plt
import datetime
import matplotlib
if __name__ == "__main__":
data_loaded = pickle_around.load_object()
historical_assets_JPY = []
Data_date = []
for date in data_loaded:
print("The data of ",date)
extracted = data_loaded... | en | 0.242665 | #print(type(extracted[0])) #print(type(Data_date)) | 3.146996 | 3 |
food_ke/entailment/train.py | IBPA/FoodAtlas | 1 | 6621619 | # -*- coding: utf-8 -*-
"""Model training methods.
Authors:
<NAME> - <EMAIL>
<NAME> - <EMAIL>
Todo:
* Docstring
* Batch size for predictions arg.
* move early stopping code block as a callable function.
* scalable approach for setting class distribution. we can add a additional
column ... | # -*- coding: utf-8 -*-
"""Model training methods.
Authors:
<NAME> - <EMAIL>
<NAME> - <EMAIL>
Todo:
* Docstring
* Batch size for predictions arg.
* move early stopping code block as a callable function.
* scalable approach for setting class distribution. we can add a additional
column ... | en | 0.58877 | # -*- coding: utf-8 -*- Model training methods. Authors: <NAME> - <EMAIL> <NAME> - <EMAIL> Todo: * Docstring * Batch size for predictions arg. * move early stopping code block as a callable function. * scalable approach for setting class distribution. we can add a additional column to ... | 2.426257 | 2 |
6homework.py | Dendzz/Hilel | 0 | 6621620 | txt_first = "Hi"
big = txt_first.capitalize()
print(type(big))
print(big)
txt_second = "HeLLo, AnD WeLcome To My World! 123 "
low = txt_second.casefold()
print(low)
txt_third = "banana"
centre = txt_third.center(20)
print(centre)
txt_fourth = "I love apples, apple are my favorite fruit,аррle"
count = txt_four... | txt_first = "Hi"
big = txt_first.capitalize()
print(type(big))
print(big)
txt_second = "HeLLo, AnD WeLcome To My World! 123 "
low = txt_second.casefold()
print(low)
txt_third = "banana"
centre = txt_third.center(20)
print(centre)
txt_fourth = "I love apples, apple are my favorite fruit,аррle"
count = txt_four... | en | 0.526464 | #1аыва.ю.э=-0фыё~!@?" | 3.373992 | 3 |
Python/06 - Itertools/itertools.permutations().py | sohammanjrekar/HackerRank | 0 | 6621621 | """
Problem: https://www.hackerrank.com/challenges/itertools-permutations/problem
Author: <NAME>
"""
import itertools
S = list(map(str, input().split()))
string1 = sorted(S[0])
number = int(S[1])
print(*list(map("".join, itertools.permutations(string1,number))), sep="\n") | """
Problem: https://www.hackerrank.com/challenges/itertools-permutations/problem
Author: <NAME>
"""
import itertools
S = list(map(str, input().split()))
string1 = sorted(S[0])
number = int(S[1])
print(*list(map("".join, itertools.permutations(string1,number))), sep="\n") | en | 0.671099 | Problem: https://www.hackerrank.com/challenges/itertools-permutations/problem
Author: <NAME> | 3.703074 | 4 |
legacy_python/raw_svg/render_cairo.py | smrfeld/convolution-calculator | 0 | 6621622 | from typing import List, Dict
from .path import *
def render_cairo(context, ids_to_paths: Dict[str,List[Path]]):
# Draw paths
for paths in ids_to_paths.values():
for path in paths:
# Draw
context.move_to(path.pts[0][0], path.pts[0][1])
for ipt in range(1,len(path.pt... | from typing import List, Dict
from .path import *
def render_cairo(context, ids_to_paths: Dict[str,List[Path]]):
# Draw paths
for paths in ids_to_paths.values():
for path in paths:
# Draw
context.move_to(path.pts[0][0], path.pts[0][1])
for ipt in range(1,len(path.pt... | en | 0.826408 | # Draw paths # Draw # Stroke and fill | 2.550251 | 3 |
Scripts/generate_grid.py | Analytics-for-a-Better-World/GPBP_Analytics_Tools | 1 | 6621623 | <gh_stars>1-10
def generate_grid_in_polygon(spacing, polygon):
import numpy as np
from shapely.geometry import Point,Polygon
from shapely.ops import cascaded_union
import geopandas as gpd
''' This Function generates evenly spaced points within the given GeoDataFrame.
The parameter 'spacing' ... | def generate_grid_in_polygon(spacing, polygon):
import numpy as np
from shapely.geometry import Point,Polygon
from shapely.ops import cascaded_union
import geopandas as gpd
''' This Function generates evenly spaced points within the given GeoDataFrame.
The parameter 'spacing' defines the dis... | en | 0.702639 | This Function generates evenly spaced points within the given GeoDataFrame. The parameter 'spacing' defines the distance between the points in coordinate units. # Convert the GeoDataFrame to a single polygon # Get the bounds of the polygon # Square around the country with the min, max polygon bounds # Now gener... | 3.324155 | 3 |
XdaPy/api/google.py | CyboLabs/XdaPy | 2 | 6621624 | <filename>XdaPy/api/google.py
# Copyright 2015 cybojenix <<EMAIL>>
#
# 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 app... | <filename>XdaPy/api/google.py
# Copyright 2015 cybojenix <<EMAIL>>
#
# 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 app... | en | 0.790426 | # Copyright 2015 cybojenix <<EMAIL>> # # 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 wr... | 2.80469 | 3 |
Python/URI 1012.py | carvalhopedro22/Programacao-URI-Online-Judge | 0 | 6621625 | <filename>Python/URI 1012.py
linha = input().split(" ")
A,B,C = linha
# ou A,B,C = [float(x) for x in input().split()]
tret = (float(A) * float(C))/2.0
circ = 3.14159 * (float(C) * float(C))
trap = ((float(A) + float(B)) * float(C))/2.0
quad = float(B) * float(B)
ret = float(A) * float(B)
print("TRIANGULO: {:.3f}".... | <filename>Python/URI 1012.py
linha = input().split(" ")
A,B,C = linha
# ou A,B,C = [float(x) for x in input().split()]
tret = (float(A) * float(C))/2.0
circ = 3.14159 * (float(C) * float(C))
trap = ((float(A) + float(B)) * float(C))/2.0
quad = float(B) * float(B)
ret = float(A) * float(B)
print("TRIANGULO: {:.3f}".... | en | 0.379734 | # ou A,B,C = [float(x) for x in input().split()] | 3.713243 | 4 |
cochlear/__init__.py | bburan/cochlear | 0 | 6621626 | import logging.config
# Set up a verbose debugger level for tracing
TRACE_LEVEL_NUM = 5
logging.addLevelName(TRACE_LEVEL_NUM, "TRACE")
def trace(self, message, *args, **kws):
# Yes, logger takes its '*args' as 'args'.
if self.isEnabledFor(TRACE_LEVEL_NUM):
self._log(TRACE_LEVEL_NUM, message, args, **k... | import logging.config
# Set up a verbose debugger level for tracing
TRACE_LEVEL_NUM = 5
logging.addLevelName(TRACE_LEVEL_NUM, "TRACE")
def trace(self, message, *args, **kws):
# Yes, logger takes its '*args' as 'args'.
if self.isEnabledFor(TRACE_LEVEL_NUM):
self._log(TRACE_LEVEL_NUM, message, args, **k... | en | 0.935583 | # Set up a verbose debugger level for tracing # Yes, logger takes its '*args' as 'args'. # This is what gets printed out to the console | 2.764943 | 3 |
ismo/submit/defaults/commands.py | kjetil-lye/iterative_surrogate_optimization | 6 | 6621627 | <gh_stars>1-10
from ismo.submit import Command
class Commands(object):
"""
This class is meant to be inherited from and then you can override whatever methods you want
"""
def __init__(self,
*,
training_parameter_config_file,
optimize_target_file,
... | from ismo.submit import Command
class Commands(object):
"""
This class is meant to be inherited from and then you can override whatever methods you want
"""
def __init__(self,
*,
training_parameter_config_file,
optimize_target_file,
... | en | 0.95686 | This class is meant to be inherited from and then you can override whatever methods you want # evaluate the objective | 2.807742 | 3 |
rtl/alu.py | bonfireprocessor/bonfire-core | 0 | 6621628 | """
RISC-V ALU
(c) 2019 The Bonfire Project
License: See LICENSE
"""
from myhdl import *
from rtl.barrel_shifter import shift_pipelined
from rtl.instructions import ArithmeticFunct3 as f3
class AluBundle:
def __init__(self,xlen=32):
# ALU Inputs
self.funct3_i = Signal(modbv(0)[3:])
sel... | """
RISC-V ALU
(c) 2019 The Bonfire Project
License: See LICENSE
"""
from myhdl import *
from rtl.barrel_shifter import shift_pipelined
from rtl.instructions import ArithmeticFunct3 as f3
class AluBundle:
def __init__(self,xlen=32):
# ALU Inputs
self.funct3_i = Signal(modbv(0)[3:])
sel... | en | 0.571613 | RISC-V ALU (c) 2019 The Bonfire Project License: See LICENSE # ALU Inputs # ALU Outputs # Only valid when ALU is subtracting : op1>=op2 (signed) # Only valid when when ALU is subtracting : op1>=op2 (unsigned) # op1==op2 # Control Signals # Constants subrtact_i : bool do subtract result_o : modbv[32:] add/su... | 2.392525 | 2 |
FunctionCheck.py | StefanTitusGlover/IA-Flood-warning-System-Group-25 | 0 | 6621629 | <filename>FunctionCheck.py
from floodsystem.geo import station_history
from floodsystem.Plot import plot_water_levels
from floodsystem.stationdata import build_station_list, update_water_levels
from floodsystem.flood import stations_highest_rel_level
from floodsystem.datafetcher import fetch_measure_levels
from floodsy... | <filename>FunctionCheck.py
from floodsystem.geo import station_history
from floodsystem.Plot import plot_water_levels
from floodsystem.stationdata import build_station_list, update_water_levels
from floodsystem.flood import stations_highest_rel_level
from floodsystem.datafetcher import fetch_measure_levels
from floodsy... | none | 1 | 2.703089 | 3 | |
src/tengi/command/param.py | luckybots/tengi | 2 | 6621630 | <gh_stars>1-10
from typing import Any
import argparse
class CommandParam:
def __init__(self, name: str, help_str: str, param_type: Any, nargs=None):
assert name.startswith('--')
self.name = name
self.help_str = help_str
self.param_type = param_type
self.nargs = nargs
... | from typing import Any
import argparse
class CommandParam:
def __init__(self, name: str, help_str: str, param_type: Any, nargs=None):
assert name.startswith('--')
self.name = name
self.help_str = help_str
self.param_type = param_type
self.nargs = nargs
def add_to_pars... | none | 1 | 2.961925 | 3 | |
src/Argument_Parser_Template.py | Nirlov24/kushs-utils-tool | 0 | 6621631 | <reponame>Nirlov24/kushs-utils-tool
"""
Argument parser template
"""
import argparse
parser = argparse.ArgumentParser(description='Your application description')
# simple argument (mandatory)
parser.add_argument('a', help='some description')
# cast positional argument to int
parser.add_argument('b', type=in... | """
Argument parser template
"""
import argparse
parser = argparse.ArgumentParser(description='Your application description')
# simple argument (mandatory)
parser.add_argument('a', help='some description')
# cast positional argument to int
parser.add_argument('b', type=int, help='some description')
# optio... | en | 0.216656 | Argument parser template # simple argument (mandatory) # cast positional argument to int # option (optional) # set silent=True if this option available # parse arguments/options to an object args # call the arguments/options | 3.611272 | 4 |
convert_to_jpeg.py | marmig0404/StyleGAN2-Tensorflow-2.0 | 0 | 6621632 | <reponame>marmig0404/StyleGAN2-Tensorflow-2.0
"""
convert_to_jpeg.py directory
Used to convert a directory of images to jpg format
<NAME> (marmig0404) 2021
"""
import os
import sys
import PIL.Image as Image
source_dir = sys.argv[1]
for (dirpath, dirnames, filenames) in os.walk(os.path.abspath(source_dir)):
pri... | """
convert_to_jpeg.py directory
Used to convert a directory of images to jpg format
<NAME> (marmig0404) 2021
"""
import os
import sys
import PIL.Image as Image
source_dir = sys.argv[1]
for (dirpath, dirnames, filenames) in os.walk(os.path.abspath(source_dir)):
print(filenames)
for file in filenames:
... | en | 0.303089 | convert_to_jpeg.py directory Used to convert a directory of images to jpg format <NAME> (marmig0404) 2021 | 3.50763 | 4 |
Modulo_1/semana2/Estructura-de-Datos/set/conjunto-clear.py | rubens233/cocid_python | 0 | 6621633 | s = {1, 2, 3, 4}
s.clear()
print(s)
| s = {1, 2, 3, 4}
s.clear()
print(s)
| none | 1 | 2.192397 | 2 | |
gmconfig/utils/basicimporter.py | GeekMasher/GMConfig | 0 | 6621634 | from gmconfig.configuration import Configuration
from gmconfig.loaders.load import loadFile
from gmconfig.utils.litemerge import liteMerge
def basicImporter(obj: dict) -> dict:
""" This is a slow but effective way of importing content
"""
return _import(obj)
def _import(obj: dict) -> dict:
new_obj ... | from gmconfig.configuration import Configuration
from gmconfig.loaders.load import loadFile
from gmconfig.utils.litemerge import liteMerge
def basicImporter(obj: dict) -> dict:
""" This is a slow but effective way of importing content
"""
return _import(obj)
def _import(obj: dict) -> dict:
new_obj ... | en | 0.901356 | This is a slow but effective way of importing content | 2.378735 | 2 |
src/slack_delete_channel_history.py | x-blood/slack-delete-channel-history | 1 | 6621635 | import urllib.request
import urllib.parse
import datetime
import json
import time
import os
from datetime import timedelta
def lambda_handler(event, context):
print('Start lambda_handler')
token = os.environ['SLACK_DELETE_CHANNEL_HISTORY_APP_TOKEN']
print('env token : %s', token)
channel = event['TAR... | import urllib.request
import urllib.parse
import datetime
import json
import time
import os
from datetime import timedelta
def lambda_handler(event, context):
print('Start lambda_handler')
token = os.environ['SLACK_DELETE_CHANNEL_HISTORY_APP_TOKEN']
print('env token : %s', token)
channel = event['TAR... | none | 1 | 2.52485 | 3 | |
run-pollination.py | fossabot/natcap-invest-docker | 0 | 6621636 | <reponame>fossabot/natcap-invest-docker
# coding=UTF-8
# hardcoded demo runner script for the pollination model
import time
import sys
import os
import logging
import natcap.invest.pollination
logging.basicConfig(stream=sys.stdout, level=logging.WARN)
def now():
return int(time.time() * 1000.0)
start_ms = now()
... | # coding=UTF-8
# hardcoded demo runner script for the pollination model
import time
import sys
import os
import logging
import natcap.invest.pollination
logging.basicConfig(stream=sys.stdout, level=logging.WARN)
def now():
return int(time.time() * 1000.0)
start_ms = now()
print('[INFO] starting up')
args = {
... | en | 0.685762 | # coding=UTF-8 # hardcoded demo runner script for the pollination model # somewhat following https://vinta.ws/code/remotely-debug-a-python-app-inside-a-docker-container-in-visual-studio-code.html | 1.986831 | 2 |
mara_app/views.py | alexeyegorov/mara-app | 15 | 6621637 | <filename>mara_app/views.py
"""Mara admin views"""
import copy
import functools
import html
import sys
import types
import typing
import flask
from mara_app import monkey_patch
from mara_page import acl, navigation, response, _, bootstrap, xml
blueprint = flask.Blueprint('mara_app', __name__, url_prefix='/mara-app',... | <filename>mara_app/views.py
"""Mara admin views"""
import copy
import functools
import html
import sys
import types
import typing
import flask
from mara_app import monkey_patch
from mara_page import acl, navigation, response, _, bootstrap, xml
blueprint = flask.Blueprint('mara_app', __name__, url_prefix='/mara-app',... | en | 0.81992 | Mara admin views Gathers all configuration modules and their functions # gather all config functions by package # The navigation sidebar is loaded asynchronously for better rendering experience | 2.149203 | 2 |
tests/base/__init__.py | reitermarkus/proxmoxer | 0 | 6621638 | __author__ = "<NAME>"
__copyright__ = "(c) <NAME> 2013-2017"
__license__ = "MIT"
| __author__ = "<NAME>"
__copyright__ = "(c) <NAME> 2013-2017"
__license__ = "MIT"
| none | 1 | 0.971415 | 1 | |
Python3/718.py | rakhi2001/ecom7 | 854 | 6621639 | __________________________________________________________________________________________________
sample 180 ms submission
class Solution:
def findLength(self, A: List[int], B: List[int]) -> int:
# dp
"""
m, n = len(A), len(B)
# dp[i][j]: max common prefix length of A[:(i + 1)]... | __________________________________________________________________________________________________
sample 180 ms submission
class Solution:
def findLength(self, A: List[int], B: List[int]) -> int:
# dp
"""
m, n = len(A), len(B)
# dp[i][j]: max common prefix length of A[:(i + 1)]... | en | 0.425622 | # dp m, n = len(A), len(B) # dp[i][j]: max common prefix length of A[:(i + 1)], B[:(j + 1)] dp = [ [0] * n for _ in range(m) ] max_len = 0 for j in range(n): dp[0][j] = int(A[0] == B[j]) max_len = max(max_len, dp[0][j]) ... | 3.391951 | 3 |
eva_storage/jvc/jvc.py | jaehobang/cs7643_project | 0 | 6621640 | <filename>eva_storage/jvc/jvc.py
"""
In this file, we implement a wrapper around the whole process
"""
from eva_storage.jvc.encoder import Encoder
from eva_storage.jvc.decoder import Decoder
from eva_storage.jvc.preprocessor import Preprocessor
from loaders.seattle_loader import SeattleLoader
import os
"""
Not... | <filename>eva_storage/jvc/jvc.py
"""
In this file, we implement a wrapper around the whole process
"""
from eva_storage.jvc.encoder import Encoder
from eva_storage.jvc.decoder import Decoder
from eva_storage.jvc.preprocessor import Preprocessor
from loaders.seattle_loader import SeattleLoader
import os
"""
Not... | en | 0.518865 | In this file, we implement a wrapper around the whole process Notes: Preprocessor: self.hierarchy_save_dir = os.path.join('/nethome/jbang36/eva_jaeho/data/frame_hierarchy', video_type, video_name + '.npy') ... | 2.303981 | 2 |
durak.py | arteum33/HW_Lesson_9_full_version | 0 | 6621641 | <reponame>arteum33/HW_Lesson_9_full_version<gh_stars>0
import random
# масти
SPADES = '♠'
HEARTS = '♥'
DIAMS = '♦'
CLUBS = '♣'
# достоинтсва карт
NOMINALS = ['6', '7', '8', '9', '10', 'J', 'Q', 'K', 'A']
# поиск индекса по достоинству
NAME_TO_VALUE = {n: i for i, n in enumerate(NOMINALS)}
# карт в руке при раздаче
... | import random
# масти
SPADES = '♠'
HEARTS = '♥'
DIAMS = '♦'
CLUBS = '♣'
# достоинтсва карт
NOMINALS = ['6', '7', '8', '9', '10', 'J', 'Q', 'K', 'A']
# поиск индекса по достоинству
NAME_TO_VALUE = {n: i for i, n in enumerate(NOMINALS)}
# карт в руке при раздаче
CARDS_IN_HAND_MAX = 6
N_PLAYERS = 2
# эталонная колод... | ru | 0.944878 | # масти # достоинтсва карт # поиск индекса по достоинству # карт в руке при раздаче # эталонная колода (каждая масть по каждому номиналу) - 36 карт # atack card: defend card | 3.42408 | 3 |
src/riski/_raster.py | GFDRR/RISKi | 0 | 6621642 | from typing import Dict, List
from types import MethodType
import os
import re
import inspect
import psycopg2 as pg
import riski as ri
from riski._utils import load_settings, generate_config
def _test():
pass | from typing import Dict, List
from types import MethodType
import os
import re
import inspect
import psycopg2 as pg
import riski as ri
from riski._utils import load_settings, generate_config
def _test():
pass | none | 1 | 1.498357 | 1 | |
xfer/utils.py | 0xflotus/xfer | 244 | 6621643 | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in th... | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in th... | en | 0.768433 | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). # You may not use this file except in compliance with the License. # A copy of the License is located at # # http://www.apache.org/licenses/LICENSE-2.0 # # or in th... | 2.176381 | 2 |
eliza/Eliza.py | arsatis/nlp-eliza | 0 | 6621644 | from eliza.controller.commands.CommandParser import CommandParser
from eliza.controller.util.PorterStemmer import PorterStemmer
class Eliza:
__name = 'Eliza'
__responsePrefix = __name + ': '
__inputPrefix = 'You: '
def __init__(self):
print(self.__responsePrefix + "Hello! I'm " + self.__name +... | from eliza.controller.commands.CommandParser import CommandParser
from eliza.controller.util.PorterStemmer import PorterStemmer
class Eliza:
__name = 'Eliza'
__responsePrefix = __name + ': '
__inputPrefix = 'You: '
def __init__(self):
print(self.__responsePrefix + "Hello! I'm " + self.__name +... | en | 0.924358 | # user input as a string, after stemming # | 3.187156 | 3 |
tests/conftest.py | shushpanov/async-jaeger | 0 | 6621645 | <gh_stars>0
import mock
import pytest
from async_jaeger import ConstSampler, Tracer
@pytest.fixture(scope='function')
def tracer():
reporter = mock.MagicMock()
sampler = ConstSampler(True)
return Tracer(
service_name='test_service_1', reporter=reporter, sampler=sampler
)
| import mock
import pytest
from async_jaeger import ConstSampler, Tracer
@pytest.fixture(scope='function')
def tracer():
reporter = mock.MagicMock()
sampler = ConstSampler(True)
return Tracer(
service_name='test_service_1', reporter=reporter, sampler=sampler
) | none | 1 | 2.046048 | 2 | |
__main__.py | David-Lor/FastAPI-Pydantic-SQLAlchemy-PetShelter-API | 1 | 6621646 | <filename>__main__.py
from pet_shelter_api import run
run()
| <filename>__main__.py
from pet_shelter_api import run
run()
| none | 1 | 0.828807 | 1 | |
data/train/python/4128e2da4777bbc0e5da663a212927a855d29ff1main.py | harshp8l/deep-learning-lang-detection | 84 | 6621647 | <filename>data/train/python/4128e2da4777bbc0e5da663a212927a855d29ff1main.py
from Tests import runTest
from Controller import *
from Domain import *
from Repository import *
from Repository.file_repository import client_file
from Repository.file_repository import movie_file
from Repository.file_repository import rent_fi... | <filename>data/train/python/4128e2da4777bbc0e5da663a212927a855d29ff1main.py
from Tests import runTest
from Controller import *
from Domain import *
from Repository import *
from Repository.file_repository import client_file
from Repository.file_repository import movie_file
from Repository.file_repository import rent_fi... | none | 1 | 2.100312 | 2 | |
buildbulk.py | x-squared/chem-mov | 0 | 6621648 | from ase import *
from ase.build import bulk
from ase.visualize import view
a1 = bulk('Al', 'fcc', a=3.567)
view(a1) | from ase import *
from ase.build import bulk
from ase.visualize import view
a1 = bulk('Al', 'fcc', a=3.567)
view(a1) | none | 1 | 1.555819 | 2 | |
scripts/fig_param.py | jennhsiao/ideotype | 2 | 6621649 | """Fig. Param."""
import os
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import preprocessing
from palettable.colorbrewer.sequential import YlGnBu_8
df_params = pd.read_csv(
'/home/disk/eos8/ach315/upscale/params/param_fixpd.csv')
outpath = '/home/disk/eos8/ach315/upscal... | """Fig. Param."""
import os
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import preprocessing
from palettable.colorbrewer.sequential import YlGnBu_8
df_params = pd.read_csv(
'/home/disk/eos8/ach315/upscale/params/param_fixpd.csv')
outpath = '/home/disk/eos8/ach315/upscal... | en | 0.214496 | Fig. Param. # All params # Small params fig | 2.235598 | 2 |
LollypopCatToy.py | bytedreamer/LollypopCatToy | 1 | 6621650 | <reponame>bytedreamer/LollypopCatToy<gh_stars>1-10
from flask import render_template, make_response
from flask.ext.recaptcha import ReCaptcha
from uuid import uuid4, UUID
from application import create_app, add_to_queue, socketio, activate_cat_toy
__author__ = '<NAME>'
app = create_app()
reCaptcha = ReCaptcha(app)
... | from flask import render_template, make_response
from flask.ext.recaptcha import ReCaptcha
from uuid import uuid4, UUID
from application import create_app, add_to_queue, socketio, activate_cat_toy
__author__ = '<NAME>'
app = create_app()
reCaptcha = ReCaptcha(app)
@app.route('/')
def index():
return render_temp... | none | 1 | 2.45917 | 2 |