seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k โ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
25062222468 | # word doc binay search
def read_words (document):
# read in the article file
with open(document) as doc:
words = []
# loop through the article line by line
for line in doc :
words.append(line.strip('\n'))
return words
def binary_search_word(value):
my_list = read_words ("wordlist.txt")
print (my_list)... | Janteby1/binary_search-copy | binary-search.py | binary-search.py | py | 4,067 | python | en | code | 0 | github-code | 36 |
73895256743 | import numpy as np
import torch
from torch.utils.data import Dataset
import pickle as pkl
def valence_map(elements: list, valences: list):
"""
## Given a list of elements and their corresponding valences, create a dictionary mapping each element to its valence.
### Args:
- elements: a list of ele... | Airscker/DeepMuon | DeepMuon/dataset/XASData.py | XASData.py | py | 4,337 | python | en | code | 1 | github-code | 36 |
21115457088 | """Django FilterSet classes for Nautobot."""
import django_filters
from nautobot.apps.filters import BaseFilterSet, NautobotFilterSet, SearchFilter
from nautobot_chatops.choices import PlatformChoices
from nautobot_chatops.models import CommandLog, AccessGrant, ChatOpsAccountLink, CommandToken
class CommandLogFilte... | nautobot/nautobot-plugin-chatops | nautobot_chatops/filters.py | filters.py | py | 1,773 | python | en | code | 47 | github-code | 36 |
20145639624 | """
Cobweb plot function
"""
import numpy as np
import matplotlib.pyplot as plt
__all__ = [
'cobweb'
]
def cobweb(func, initial_conditon, nsteps, limits, args=(), ax=None):
"""
Plot cobweb diagram for onedimensional iterated functions
``x[n+1] = func(x[n])``.
Parameters
----------
func ... | antonior92/dynamic-system-plot | dynplt/cobweb.py | cobweb.py | py | 1,586 | python | en | code | 1 | github-code | 36 |
35896409907 | from typing import NamedTuple, Optional, List, Dict, Any, Union
from enum import Enum, auto
import pysam
def _build_filter(rec: pysam.VariantRecord) -> List[Union[str, int]]:
return [f for f in rec.filter]
def _build_info(rec: pysam.VariantRecord) -> Dict[str, Any]:
info = dict()
for key, value in rec.... | EUCANCan/variant-extractor | src/variant_extractor/variants.py | variants.py | py | 8,031 | python | en | code | 3 | github-code | 36 |
35584359150 | from zipfile import ZipFile
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import datasets, linear_model
from sklearn.metrics import mean_squared_error, r2_score
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.preprocessing import StandardScaler
i... | Kamkas/Bike-Sharing-Data-Analysis | lr.py | lr.py | py | 2,416 | python | en | code | 0 | github-code | 36 |
70503976105 | from __future__ import division
class EstadisticaIII:
def __init__(self,X,Y=[]):
self.X = X
self.Y = Y
self.n = len(X)
def Fn(self,y):
return len([x for x in self.X if x<=y])/self.n
def KS(self,F):
Xi = sorted(self.X)
Dn = []
for i in range(self.n):
... | aleespa/Estadistica-III-2019 | Cรณdigo python/Clase.py | Clase.py | py | 776 | python | en | code | 0 | github-code | 36 |
32892688817 | import pickle
import pandas as pd
import mixmod
from mixmod import gm # gm contains global constants (enum items etc.)
def persist_strategy():
# --------------------------------------
# Strategy example :
# - nbTry = 5
# - algo 1 : SEM (nb_iteration = 80)
# - algo 2 : EM (epsilon=0.0001)
# ... | mixmod/mixmod | Pymixmod/examples/persistence/persist_strategy.py | persist_strategy.py | py | 1,692 | python | en | code | 3 | github-code | 36 |
31412134180 | import sys
input = sys.stdin.readline
result = 0
def merge_sort(s, e):# ๋ณํฉ์ ๋ ฌ
global result
if e-s < 1: return
m = int(s+(e-s) / 2)
merge_sort(s, m)
merge_sort(m+1, e)
for i in range(s, e+1):
tmp[i] = A[i]
k = s #A๋ฐฐ์ด์์ ์ด๋ ์์น์ index๊ฐ ๋ค์ด๊ฐ๋์ง
index1 = s
in... | ZzinB/Algorithm_Study | ๋ฐฑ์ค/Platinum/1517.โ
๋ฒ๋ธโ
์ํธ/๋ฒ๋ธโ
์ํธ.py | ๋ฒ๋ธโ
์ํธ.py | py | 1,121 | python | ko | code | 0 | github-code | 36 |
71910544423 | from collections import OrderedDict
from Models.Utils.FRRN_utils import *
class FRRNet(nn.Module):
"""
implementation table A of Full-Resolution Residual Networks
"""
def __init__(self, in_channels=3, out_channels=21, layer_blocks=(3, 4, 2, 2)):
super(FRRNet, self).__init__()
# 5ร5
... | akshatgarg99/FRR-Net | Models/FRRN.py | FRRN.py | py | 2,658 | python | en | code | 0 | github-code | 36 |
13320431649 | import os
import re
clear = lambda: os.system('clear')
data = "AAAX---aaax---111"
exp = "\w+(?=X), \w+, \w+(?=\w)"
txt='''\
\w+ : ๋ฌธ์(\w),1์ด์(+)
(?=X) : ๋ค์ ๋ฐ๋ผ์ค๋(?=) X๋ผ๋ ๊ฒ์ ๋ฌธ์์ด ๊ฒ์์ ์ฐ์ง๋ง ๋งค์น๋ ๋์ง ์์
\w+(?=X) : AAAX์์ ๋ฌธ์๋ค์ด ๋งค์น๋์ง๋ง AAA๋ง ๋งค์น๋จ X๋ ์ ์ธ ์ํด
X๋ X ์์ ๋จ์ด AAA๋ฅผ ์ฐพ๋๋ฐ๋ ๊ธฐ์ฌํ์ง๋ง ์์ ์ ๋งค์น๋์ง ์์
\w+ : (?=X)์์ด ํ๊ฒ๋๋ฉด AAAX,aaax,111๊ณผ ๋งค์น๋จ
\... | ipcoo43/pythonthree | lesson150.py | lesson150.py | py | 855 | python | ko | code | 0 | github-code | 36 |
31981774021 | #!/usr/bin/python3
def list_division(my_list_1, my_list_2, list_length):
new_list = []
for n in range(list_length):
try:
a = my_list_1[n] / my_list_2[n]
except(ZeroDivisionError):
print("division by 0")
a = 0
except(TypeError, ValueError):
... | osamuflair/alx-higher_level_programming | 0x05-python-exceptions/4-list_division.py | 4-list_division.py | py | 506 | python | en | code | 0 | github-code | 36 |
37664896770 | from page.E_confirm_order_page import ConfirmOrderPage
class MyOrderPage(ConfirmOrderPage):
"""ๆ็่ฎขๅ้กต้ข"""
order_sn_loc = ('id', 'com.tpshop.malls:id/order_sn_tv') # ่ฎขๅ็ผๅท
to_be_received_loc = ('id','com.tpshop.malls:id/status_receive_tv') # ๅพ
ๆถ่ดง
back_loc = ('id','com.tpshop.malls:id/title_back_img') # ... | 15008477526/- | APP_aaaaaaaa/page/F_my_order.py | F_my_order.py | py | 2,633 | python | en | code | 0 | github-code | 36 |
25947138248 | # Definition for a Node.
class Node:
def __init__(self, val = 0, neighbors = None):
self.val = val
self.neighbors = neighbors if neighbors is not None else []
class Solution:
def cloneGraph(self, node: 'Node') -> 'Node':
if not node:
return node
stack = [node]
... | dzaytsev91/leetcode-algorithms | medium/133_clone_graph.py | 133_clone_graph.py | py | 694 | python | en | code | 2 | github-code | 36 |
4940941702 | import pandas as pd
dataPath = 'data/'
# maps for converting BPS points
scoringBpsMap = {'FWD': {'GKP': -12, 'DEF': -12, 'MID': -6, 'FWD': 0},
'MID': {'GKP': -6, 'DEF': -6, 'MID': 0, 'FWD': 6},
'DEF': {'GKP': 0, 'DEF': 0, 'MID': 6, 'FWD': 12},
'GKP': {'GKP':0, 'DEF':... | vaastav/Fantasy-Premier-League | new_position_checker.py | new_position_checker.py | py | 4,137 | python | en | code | 1,277 | github-code | 36 |
7803255026 | import pprint
def log(file_name="default.log", msg="Default text"):
"""
Logs the specified message to specified file.
Overwrites the whole file each time
"""
f = open(file_name, "w+")
pretty = pprint.pformat(msg)
f.write(pretty)
f.close()
def perm_log(file_name="default.log", title="De... | errnox/ncurses-shenanigans | logger.py | logger.py | py | 564 | python | en | code | 0 | github-code | 36 |
34998353566 | """
Created on Thu Mar 17 16:34:46 2022
โ
@author: svein
"""
import speech_recognition as sr
import sounddevice as sd
from scipy.io.wavfile import write
import os
import ffmpeg
from scipy.io import wavfile
import numpy as np
def Speech_to_text():
myfile="output.wav"
## If file exists, delete it ##
if os.p... | klarahi/Fuzzy_project | voice_recognition.py | voice_recognition.py | py | 1,245 | python | en | code | 0 | github-code | 36 |
30629658909 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import json, urllib
import plotly.graph_objects as go
import pandas as pd
import numpy as np
# In[2]:
asi_measures = pd.read_csv('final-data.csv')
asi_measures.head()
# In[4]:
all_nodes = asi_measures.Category.values.tolist() + asi_measures.ASI.values.tolist()
s... | nikolamedi/sankey-diagram | Sankey diagram with plotly.py | Sankey diagram with plotly.py | py | 912 | python | en | code | 0 | github-code | 36 |
38807417619 | import csv
''' def leer_parque(nombre_archivo, parque):
f = open(nombre_archivo)
filas = csv.reader(f)
data = []
encabezado = next(filas)
for fila in filas:
registro = dict(zip(encabezado, fila))
if registro['espacio_ve'] == parque:
data.append(registro)
return data... | AxelBelbrun/TP_LaboDeDatos | ejercicio_1&4.py | ejercicio_1&4.py | py | 1,766 | python | es | code | 0 | github-code | 36 |
73550814184 | #-*- coding: utf-8 -*-
'''
1. ๆทปๅ ็ณป๏ผadddepartment
2. ๆทปๅ ็ญ็บง๏ผaddclass
3. ๅ ้ค็ณป๏ผdeldepartment
4. ๅ ้ค็ญ็บง๏ผdelclass
5. ็ผ่พ็ณป๏ผeditdepartment
6. ็ผ่พ็ญ็บง๏ผeditclass
'''
from django.shortcuts import render_to_response
from django.template import RequestContext, Template, Context
from classes.models import Class, Department
from teachers.mo... | Luokun2016/QuickSort | classes/views.py | views.py | py | 7,941 | python | en | code | 0 | github-code | 36 |
7822031293 | import sys
import heapq
input = sys.stdin.readline
N = int(input())
arr = []
#์
๋ ฅ
for _ in range(N):
arr.append(list(map(int, input().split())))
#ํ์์๊ฐ ๊ธฐ์ค ์ ๋ ฌ
arr.sort(key=lambda x: x[0])
rooms = [0]
answer = 1
for s, e in arr:
# ๊ฐ์ฅ ๋น ๋ฅธ ํ์ ์ข
๋ฃ ์๊ฐ๋ณด๋ค array์ ํ์ ์์ ์๊ฐ์ด ๋ฆ๊ฑฐ๋ ๊ฐ๋ค๋ฉด
if s >= rooms[0]:
# ๊ทธ ํ์... | Drizzle03/baekjoon_coding | 20230123/19598_heapq.py | 19598_heapq.py | py | 736 | python | ko | code | 0 | github-code | 36 |
12685785417 | import itertools
from itertools import izip, cycle
import os
import string
import glob
from moduleBaseClass import ModuleBaseClass
class XorStuff:
def __init__(self, filepath=None):
"""Constructor : set xored file (optional)
"""
self.file_type = None
self.list_types = self.load_f... | tengwar/xorstuff | xorstuff.py | xorstuff.py | py | 4,032 | python | en | code | 0 | github-code | 36 |
10663941067 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 21 16:38:00 2016
@author: Neo
Oct 25, 2016: updated by Niu.
"""
import numpy as np
import matplotlib.pyplot as plt
res_dir = '../results/'
dat_fil = ['OVrot.dat', 'GRrot.dat']
#glide for the three special catalog
w3 = np.loadtxt(res_dir + 'Speci... | Niu-Liu/thesis-materials | sou-selection/progs/RotationPlot.py | RotationPlot.py | py | 5,084 | python | en | code | 0 | github-code | 36 |
14432743893 | print("genera lo numero del 1 al 10: ")
input()
lista = [0,1,2,3,4,5,6,7,8,9]
numero = 1
range = (10)
for numero in lista:
print(numero)
| toshio3024/programacion_visual | modulo1/ciclo_for/lista1_10.py | lista1_10.py | py | 149 | python | it | code | 0 | github-code | 36 |
9896960203 | #!/usr/bin/env python3
#-*- coding: utf-8 -*-
import os
import sys
import rospy
import numpy as np
import cv2
from sensor_msgs.msg import Image, CompressedImage
from cv_bridge import CvBridge, CvBridgeError
from darknet_ros_msgs.msg import BoundingBoxes, ObjectCount
class Bridge(object):
"""์์ถ๋ ์ด๋ฏธ์ง๋ฅผ ์ผ์ ๋ฉ์ธ์ง ํํ๋ก ... | Taemin0707/minibot_control | pedestrian_tracking/src/visualizing.py | visualizing.py | py | 2,884 | python | en | code | 0 | github-code | 36 |
39642904721 | """ CONTROLLER.PY
The site controller controlls the production of the response
for requests to the website. The controller creates and interacts
with both, the SiteModel and the SiteViews. A call to the controller
calls start_response and returns the contents of the response.
Upgrade to multi-s... | berthoud/webfitsviewer | webfitsviewer/src/controller.py | controller.py | py | 16,483 | python | en | code | 1 | github-code | 36 |
16539248084 | import markovify
import sys
import argparse
import configparser
import twitter
model_depth_default = 2
model_depth = model_depth_default
def main():
arg_parser = argparse.ArgumentParser(description="Generate text with Markov chains based on a source corpus.")
subparser = arg_parser.add_subparsers(dest="subparser_na... | nanovad/poorlytrained | poorlytrained.py | poorlytrained.py | py | 2,216 | python | en | code | 0 | github-code | 36 |
42184120980 | # encoding = utf-8
class FirstClass():
name = 'javaAndBidata'
def javaAndBigdata_method(self):
'''
ๆนๆณๅฎไน็ๆถๅๅฟ
้กปๅญๅจไธไธชๅฝขๅ๏ผ้ป่ฎคไธบself๏ผๅฆๅไผๆฅ้
selfๅณไธบๅฏน่ฑกๆฌ่บซ
:return:
'''
print("this is javaAndBigdata's method!!!")
return self.name # ่กจๆselfไธบๅฏน่ฑกๆฌ่บซ
@classmethod
def... | helleboyboy/2022_pythonProj | com/study/MyFirstClass.py | MyFirstClass.py | py | 793 | python | en | code | 0 | github-code | 36 |
39675510369 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
from tensorflow.keras.applications.resnet_v2 import ResNet152V2, preprocess_input, decode_predictions
from tensorflow.keras.preprocessing import image
import numpy as np
def classifyImg(img_path):
img = image.load_img(img_path, target_size=(224, 224))
x = ima... | puneet4321/MachineLearning-DeepLearning | DeepLearning/TransferLearning.py | TransferLearning.py | py | 852 | python | en | code | 0 | github-code | 36 |
22353260658 | import torch
from .logger_utils import get_logger
import matplotlib.pyplot as plt
import numpy as np
import itertools
logger = get_logger()
def prediction(*, test_data, model, device):
"""Predict on test data and generate confusion matrix.
Args:
test_data (torch.utils.data.Dataset): Test dataset.
... | abhijitramesh/hpc-demo | utils/prediction_utils.py | prediction_utils.py | py | 1,910 | python | en | code | 0 | github-code | 36 |
39154979229 | from typing import Callable
def format_number(number: int) -> str:
num = float(f"{number:.3g}")
magnitude = 0
format_human: Callable[[float], str] = lambda x: f"{x:f}".rstrip("0").rstrip(".")
while abs(num) >= 1000:
magnitude += 1
num /= 1000.0
return f"{format_human(num)}{['', ... | SkyLissh/skylet-discord | app/utils/format_number.py | format_number.py | py | 358 | python | en | code | 0 | github-code | 36 |
8036114944 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.views import generic
#from django.template import loader # no longer needed b/c of render shortcut
from .models import Question, Choice
# Create your views here.
class Index... | Alex-Bishka/Languages | Django/mysite/polls/views.py | views.py | py | 3,562 | python | en | code | 0 | github-code | 36 |
15193997907 | from enum import Enum
from dynsimf.models.helpers.ConfigValidator import ConfigValidator
from dynsimf.models.components.conditions.Condition import Condition
__author__ = "Mathijs Maijer"
__email__ = "m.f.maijer@gmail.com"
class UpdateType(Enum):
'''
An Enum to specify the type of the update
'''
STAT... | Tensaiz/DyNSimF | dynsimf/models/components/Update.py | Update.py | py | 4,795 | python | en | code | 4 | github-code | 36 |
19199461708 | from torch.utils.data import Dataset
import numpy as np
from pathlib import Path
import pandas as pd
import torch
from dpipe.io import load_numpy
class BraTSDataset(Dataset):
def __init__(self, meta: pd.DataFrame, source_folder: [str, Path], nonzero_mask=False, transform=None):
if isinstance(source_folder... | kurmukovai/hse_projects | 2020/Anvar/data_loader.py | data_loader.py | py | 1,392 | python | en | code | 1 | github-code | 36 |
11473243619 | import os
import zipfile
from abc import ABCMeta
from pathlib import Path
from typing import Optional, Union
from urllib.request import urlretrieve
class BaseDownloader(metaclass=ABCMeta):
"""Base downloader for all Movielens datasets."""
DOWNLOAD_URL: str
DEFAULT_PATH: str
def __init__(self, zip_pa... | smartnews/rsdiv | src/rsdiv/dataset/base.py | base.py | py | 876 | python | en | code | 7 | github-code | 36 |
22889942490 | #!/usr/bin/env python
import os
import re
import glob
def printPackages():
paths = glob.glob(os.path.join('/usr/share', 'cmake*/Modules'))
modules = [package for path in paths for package in os.listdir(path)]
[print(module[4:-6]) for module in modules if re.search("^Find", module) and module[4:-6] != '']
... | FredeEB/cmake-list-packages | cmake-list-packages.py | cmake-list-packages.py | py | 392 | python | en | code | 0 | github-code | 36 |
41366597699 | import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import os
def MyPlotSO(CompMethod,trials,MaxFuncEvals,method,problem):
##% Plot
figcount=0
Convergence = np.zeros((int(CompMethod.shape[0]/trials), MaxFuncEvals))
count=-1
for i in range(0,int(Co... | KZervoudakis/Mayfly-Optimization-Algorithm-Python | plotting.py | plotting.py | py | 5,858 | python | en | code | 4 | github-code | 36 |
22968808073 | import pickle
import pandas as pd
from rs import recommend_system
def main():
data = pd.read_csv('data/ratings_train.csv')
users = data.userId.tolist()
items = data.movieId.tolist()
ratings = data.rating.tolist()
rec_sys = recommend_system(100)
rec_sys.fit(users, items, ratings)
with o... | kotsmile/test_task_repo | main1.py | main1.py | py | 424 | python | en | code | 0 | github-code | 36 |
25374663372 | def soma_vetores(vetor1: list, vetor2:list) -> list:
vetor_soma = []
maior = max(len(vetor1), len(vetor2))
for i in range(maior):
valor1 = vetor1[i] if i < len(vetor1) else 0
valor2 = vetor2[i] if i < len(vetor2) else 0
vetor_soma.append(valor1 + valor2)
return vetor_soma
l1 =... | ProfessorDudarts/Unasp-HT-2023.2 | algoritmos_II/especial/ex02.py | ex02.py | py | 384 | python | pt | code | 0 | github-code | 36 |
8366866522 | import numpy as np
import sofacontrol.utils as scutils
from sofacontrol.mor import pod
class LinearROM():
"""
Linear ROM, written for compatibility with TPWL class
"""
def __init__(self, data, dt, Cf=None, Hf=None):
if not isinstance(data, dict):
data = scutils.load_data(data)
... | mdubied/soft-robot-control | sofacontrol/baselines/rompc/rompc_utils.py | rompc_utils.py | py | 4,166 | python | en | code | 1 | github-code | 36 |
75162395624 | import os
class SwitchGenerator:
_path = "src"
_default_spec = {
#letters_range : max_depth
(2, 2) : 20,
(3, 3) : 10,
(4, 4) : 6,
(5, 6) : 6,
(7, 9) : 5,
(10, 16) : 4,
(17, 25) : 2,
#(41, 128) : 2
}
indent_str = " "
endln = "\n... | datasig-ac-uk/esig | tools/switch_generator.py | switch_generator.py | py | 7,018 | python | en | code | 37 | github-code | 36 |
21662366530 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# @Time: 2020/4/5 21:14
# @Author: qyh
import matplotlib.pyplot as plt
import numpy.random as rdm
import networkx as nx
node_num = 100
probability = 0.01
er_graph = nx.erdos_renyi_graph(node_num, probability)
susceptible = 'S'
infected = 'I'
recovered = 'R'
... | QCloudHao/COVID19 | development.py | development.py | py | 2,014 | python | en | code | 0 | github-code | 36 |
4063170648 | from tkinter import *
window = Tk()
window.title("DOW")
Label(window, text="", width=1).grid(row=0, column=0)
Label(window, text=" Company:").grid(row=0, column=3, sticky=W)
Label(window, text=" Industry:").grid(row=3, column=3, sticky=W)
Label(window, text="Exchange:").grid(row=6, column=4, sticky=E)
Label(window,... | guoweifeng216/python | python_design/pythonprogram_design/Ch8/8-2-E22.py | 8-2-E22.py | py | 1,340 | python | en | code | 0 | github-code | 36 |
22450428766 | """
Team 46
Haoyue Xie 1003068 @Melbourne
Jiayu Li 713551 @Melbourne
Ruqi Li 1008342 @Melbourne
Yi Zhang 1032768 @Melbourne
Zimeng Jia 978322 @Hebei, China
"""
import json
path = "E:/Unimelb/2020semester1/COPM90024 Cluster and Cloud Computing/assignment2/code/"
filename = path + 'SA4_2016_AUST.json'
with open(file... | yzzhan4/COMP90024-AuzLife | Create City_GeoJSON file/coordinates for cities.py | coordinates for cities.py | py | 19,866 | python | en | code | 0 | github-code | 36 |
10586396443 | class Option:
def __init__(self, symbols, value):
self.beats = None
self.symbols = symbols
self.value = value
def score(self, other):
if other == self:
return self.value + 3
if self.beats == other:
return self.value + 6
if other.beats == s... | chiptopher/advent-of-code-2022 | day-2/part1.py | part1.py | py | 986 | python | en | code | 0 | github-code | 36 |
19112292097 |
import torch as T
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
class DeepQNetwork(nn.Module):
def __init__(self, lr, input_dims, fc1_dims, fc2_dims, n_actions):
super(DeepQNetwork, self).__init__()
self.input_dims = input_dims
self.fc... | miczed/learny-mc-learnface | DQN/Examples/DQN_Lunar_MLwithPhil.py | DQN_Lunar_MLwithPhil.py | py | 5,392 | python | en | code | 0 | github-code | 36 |
6671044786 | from sense_hat import SenseHat
from PIL import Image
from random import randint
import time
sense = SenseHat()
amount_of_pics = 3
while True:
pic_nr = str(randint(1, amount_of_pics))
img = Image.open('pic'+pic_nr+'.png')
byteList = list(img.getdata())
pixels = []
for index, byte in enumerate(byte... | gdmgent-IoT-1920/labo-2-sensehat-hansvertriest | avatar_animated.py | avatar_animated.py | py | 425 | python | en | code | 0 | github-code | 36 |
73313388265 | # %%
import csv
import sys
import numpy as np
import pandas as pd
import os
from matplotlib import pyplot as plt
# plt.rcParams['font.sans-serif'] = ['Times New Roman']
# ๆพๅฐๅ
จๅฑๆไผ 10 20 41
# ไธๆญๆพๅฐๆไผ 15 34
filename1 = "results/Cifar10-center/LeNet/record_sgd weight.csv"
filename2 = "results/Cifar10-center/LeNet/recor... | zhengLabs/FedLSC | painting/painting_weight_change.py | painting_weight_change.py | py | 1,279 | python | en | code | 1 | github-code | 36 |
18482251122 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class BasicBlock(nn.Module):
expansion = 1
def __init__(self, inplanes, planes, stride=1):
super(BasicBlock, self).__init__()
self.conv1 = nn.Conv2d(inplanes, inplanes, 1, stride, bias=False)
self.bn1 = nn.... | TWSFar/DSSD | model/decoder.py | decoder.py | py | 3,824 | python | en | code | 8 | github-code | 36 |
27912151130 | import boto3
import pg8000
import datetime
import json
import time
# Create an S3 client
s3 = boto3.client('s3')
# Create a CloudWatch client
cloudwatch = boto3.client('cloudwatch')
def ingest_database_to_s3(bucket_name):
# Retrieve the database connection details from AWS Secrets Manager
secretsmanager = bo... | vasilecondrea/lake-cabin-project | extract/src/extract.py | extract.py | py | 4,151 | python | en | code | 1 | github-code | 36 |
15065246438 | import asyncio
import base64
import collections
import json
import struct
import sys
import aiohttp
import pytest
import six
from pytest_httpserver import RequestHandler
import consul
import consul.aio
Check = consul.Check
@pytest.fixture
def local_server(httpserver):
from pytest_httpserver import RequestHandl... | poppyred/python-consul2 | tests/test_aio.py | test_aio.py | py | 10,482 | python | en | code | 125 | github-code | 36 |
15083780449 | import ray
import numpy as np
import gym
import tensorflow as tf
import tensorflow.contrib.slim as slim
import time
import sys
sys.path.insert(0, "/home/ubuntu/pong_py")
from pongjsenv import PongJSEnv
ray.init(num_workers=0)
n_obs = 8 # dimensionality of observations
n_h = 256 # number of h... | robertnishihara/ray-tutorial-docker | rl_exercises/pong_py_no_git/pong_py/parallel_train.py | parallel_train.py | py | 4,946 | python | en | code | 8 | github-code | 36 |
23751441892 | import os
import argparse
import matplotlib.pyplot as plt
from matplotlib import cm
import torch
import numpy as np
import statistics as st
import csv
import seaborn as sns
from timeseries import EchoCard
from quality_classification import predict_single as predict_acq
from quality_classification import CardioNet
fro... | HelmholtzAI-Consultants-Munich/Echo2Pheno | Module I/run4single.py | run4single.py | py | 25,479 | python | en | code | 1 | github-code | 36 |
9135106371 | #!/usr/bin/env python3
import sqlite3
def nice_print(sql_table):
""" used to show information in a slightly more readable fashion"""
for row in sql_table:
row_string = map(str,row)
pretty_row = '\t\t'.join(list(row_string))
print(pretty_row)
conn = sqlite3.connect('northwind.sqlite3'... | Tclack88/Lambda | DS-3-2-SQL-and-Databases/sc/northwind.py | northwind.py | py | 2,024 | python | en | code | 0 | github-code | 36 |
39842034728 | class Node(object):
def __init__(self, connections, status, distance):
self.connections = connections
self.status = status
self.distance = distance
def merge(self, other):
self.connections.union(other.connections)
self.distance = min(self.distance, other.distance)
... | mingruilyu/spark-examples | social-networks/node.py | node.py | py | 716 | python | en | code | 0 | github-code | 36 |
40066321475 | import pandas as pd
from decouple import config
import numpy as np
import os
import nilearn.image as img
from nilearn.glm.second_level import non_parametric_inference
import nibabel
import argparse
def options() -> dict:
'''
Function to accept accept command line flags.
Needs -t for task name and -p for n... | WMDA/socio-emotion-cognition | task_fmri/modelling/nilearn_notebooks/second_level_group_differences_nilearn.py | second_level_group_differences_nilearn.py | py | 5,119 | python | en | code | 0 | github-code | 36 |
7413102812 | """Sorts duplicate photos/files and places all copies in their own folder."""
import click
import halo
from hashlib import sha256
from pathlib import Path
from shutil import copyfile, move
""" Return the SHA256 sum of the provided file name.
:param file_name - Name of the file to check
:return Hexdigst of SHA sum
"... | poiriermike/sort_dup_photos | sort_dupes.py | sort_dupes.py | py | 1,698 | python | en | code | 0 | github-code | 36 |
33531980673 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Written by Lucas Sinclair and Paul Rougieux
JRC biomass Project.
Unit D1 Bioeconomy.
"""
# Built-in modules #
# Third party modules #
# First party modules #
import autopaths
from autopaths import Path
from autopaths.auto_paths import AutoPaths
from aut... | xapple/cbmcfs3_runner | cbmcfs3_runner/scenarios/base_scen.py | base_scen.py | py | 4,131 | python | en | code | 2 | github-code | 36 |
14975602029 | import os
import codecs
try:
from setuptools import (setup, find_packages)
except ImportError:
from distutils.core import (setup, find_packages)
VERSION = (0, 2, 0)
__version__ = '.'.join(map(str, VERSION[:3])) + "".join(VERSION[3:])
__package_name__ = 'pelican-readtime'
__description__ = 'Plugin for Pelica... | JenkinsDev/pelican-readtime | setup.py | setup.py | py | 2,230 | python | en | code | 11 | github-code | 36 |
21811338637 | from elasticsearch import Elasticsearch
from services.caption_processor import split_captions
es = Elasticsearch()
def index_captions(captions, video_id):
for ctime, ctext in split_captions(captions):
doc = {
'time': ctime,
'text': ctext,
'video': video_id
}
... | veotani/youtube-caption-search | server/services/caption_indexator.py | caption_indexator.py | py | 696 | python | en | code | 0 | github-code | 36 |
17122612080 | # import the packages
import matplotlib.pyplot as plt
import networkx as nx
# Define the data structures of vertices and edges
vertices = range(1, 10)
edges = [(7, 2), (2, 3), (7, 4), (4, 5), (7, 3), (7, 5),
(1, 6), (1, 7), (2, 8), (2, 9)]
# Let's first instantiate the graph
G = nx.Graph()
# let's draw the gr... | amrmabdelazeem/40-Algorithms-to-Know | Fraud Analytics.py | Fraud Analytics.py | py | 1,258 | python | en | code | 0 | github-code | 36 |
3984159879 | from django.http import HttpResponse
from django.shortcuts import render
from .models import *
def home_view(request):
names = ['Jitendra', 'Rimaljit', 'Mohit', 'Deepak']
address = ['Chandigarh', 'Ludhiana', 'Ludhiana', 'Ludhian']
info = zip(names, address)
data = {
'info': info
}... | jitendra5581/cms-training | studentapp/views.py | views.py | py | 1,601 | python | en | code | 0 | github-code | 36 |
31061471225 |
from ..utils import Object
class GetLanguagePackStrings(Object):
"""
Returns strings from a language pack in the current localization target by their keys. Can be called before authorization
Attributes:
ID (:obj:`str`): ``GetLanguagePackStrings``
Args:
language_pack_id (:obj:`str`... | iTeam-co/pytglib | pytglib/api/functions/get_language_pack_strings.py | get_language_pack_strings.py | py | 1,077 | python | en | code | 20 | github-code | 36 |
29265995758 | """Tools for looking for instances of godaddy cookie stuffing in individual
and collections of BroRecords."""
import re
from .affiliate import AffiliateHistory, FULL_DOMAIN
class ClickCashAffiliateHistory(AffiliateHistory):
@classmethod
def checkout_urls(cls):
"""Returns a list of strings, each of w... | pes10k/bro-tools | stuffing/clickcash.py | clickcash.py | py | 1,492 | python | en | code | 0 | github-code | 36 |
14489788093 | # Lab 24 - Rain Data
import datetime
import matplotlib.pyplot as plt
def open_file():
"""opens the file and returns its contents as a list separated by each row"""
with open('lab24_ankeny_rain.txt', 'r') as data:
return data.read().split("\n")
def get_dates(data):
"""accepts data and returns a list of just... | mjhcodes/pdxcodeguild | python/lab24.py | lab24.py | py | 2,881 | python | en | code | 0 | github-code | 36 |
69864473703 | from deep_introspection import network, synthesis, utils
import numpy as np
import matplotlib.pyplot as plt
def test_synthesise_loss_is_low():
net = network.CaffeNet('deep_introspection/test/VGG.prototxt', 'deep_introspection/test/VGG_ILSVRC_16_layers.caffemodel')
img, offset, resFac, newSize = utils.imgPrepro... | onorton/deep_introspection | deep_introspection/test/test_synthesis.py | test_synthesis.py | py | 1,610 | python | en | code | 0 | github-code | 36 |
29432851011 | from asyncore import read
#JMP:xkalou03
__author__ = 'xkalou03'
import sys
import argparse
import re
import reader
import table
def checkParameters():
parser = argparse.ArgumentParser(description = 'Projekt do IPP.', add_help = False)
parser.add_argument('--help', action = "count", default = 0, help = 'P... | Strihtrs/IPP_Projects | JMP/jmp.py | jmp.py | py | 4,768 | python | en | code | 0 | github-code | 36 |
184316917 | # coding: utf-8
# device: Mi8SE
# screen: 2244x1080
# adb support
# open USB debugging and allow simulating input via USB debugging
import os
import time
fir_in_button_x, fir_in_button_y = 1485, 870 # first button, click to start
check_in_button_x, check_in_button_y = 1400, 750 # dialog๏ผ่ฑ้ไธ่ถณไธไธชๆฏๅฆ็ปง็ปญ
time_waiting = 13... | qlindazm/coinCollector | coinCollector.py | coinCollector.py | py | 2,423 | python | en | code | 1 | github-code | 36 |
6543350552 | #Avoid Duplicates
print("Enter a list of words; press the enter button twice to finish>>")
words = []#List
while True:#Collects words from the user.
word = input()
if word not in words:#If the word entered doesn't already exist in the list, append it to the list.
words.append(word)
... | law35/bitwisetechtips-final | media/python/files/duplicates.py | duplicates.py | py | 437 | python | en | code | 0 | github-code | 36 |
12718727003 | a=""
# infix to postfix conversion
def infix_to_postfix(infix):
prec = {}
prec["*"] = 3
prec["/"] = 3
prec["+"] = 2
prec["-"] = 2
prec["("] = 1
op_stack = []
postfix_list = []
token_list = infix.split()
for token in token_list:
if token in "ABCDEFGHIJKLMNOPQRSTUVWXYZ" or... | beetrandahiya/python-upes | stackappln.py | stackappln.py | py | 988 | python | en | code | 2 | github-code | 36 |
2404877114 |
'''
This library is compouse of the units that we are going to adopt for the different magnitudes
'''
# Magnitudes
r = 10**10 #cm (radius)
P = 10**15 #din cmโ2 (pressure)
T = 10**7 #K (temperatura)
M = 10**33 #g (mass)
L = 10**33 #erg sโ1 (luminosity)
rho = 1 #g cmโ3 (density)
epsilon = 1 #erg gโ1 sโ1 (en... | javiisebas/TFG | python-scripts/Initial_Parameters.py | Initial_Parameters.py | py | 773 | python | en | code | 0 | github-code | 36 |
30684906195 | """
Python data structures and algo practice
"""
class Node:
"""
Basic node object type
left_node ==> memory pointer for binary tree example
right_node ==> memory pointer for binary tree example
next_node ==> memory pointer for queue / stack examples
data ==> simple value (int)
"""
def __init__(self... | keeganridgley107/CompSci-Py | main.py | main.py | py | 5,520 | python | en | code | 0 | github-code | 36 |
15783422482 | # -*- coding: utf-8 -*-
"""
Created on Sat May 8 12:16:46 2021
@author: tamon
"""
import csv
import numpy as np
from scipy.interpolate import griddata
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
radius = []
angles = []
points = []
result = []
with open('angrad.csv', new... | Maselko/individual-project | Angrad.py | Angrad.py | py | 4,228 | python | en | code | 0 | github-code | 36 |
21195656811 | import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name='snmpdesk',
version='0.0.91',
description='Scripts for easy get snmp data',
author='Svintsov Dmitry',
author_email='spam@19216801.ru',
url='http://github.c... | uralbash/snmpdesk | setup.py | setup.py | py | 927 | python | en | code | 5 | github-code | 36 |
31026501229 |
board=["-","-","-","-","-","-","-","-","-"]
current_player='X'
game_is_on=True
winner=None
print('WELCOME')
print("Let's play Tic Tac Toe")
print('Plz give the reqiured detail')
player1=input('Player 1 name:')
player2=input('Player 2 name:')
current_name=player1
print(player1 + ' has been assigned with X')... | meetshah129/py | Project.py | Project.py | py | 3,835 | python | en | code | 0 | github-code | 36 |
73479278505 | #!/usr/bin/env python
# vim:fileencoding=UTF-8:ts=4:sw=4:sta:et:sts=4:ai
from __future__ import (unicode_literals, division, absolute_import,
print_function)
__license__ = 'GPL v3'
__copyright__ = '2016, Daisuke Cato <daisuke.cato@gmail.com>'
__docformat__ = 'restructuredtext en'
try:
fr... | dcato/bibi_calibre | config.py | config.py | py | 1,698 | python | en | code | 0 | github-code | 36 |
16128248265 | import functools
from importlib import import_module
from pyws.public import InvalidPath
def route(path):
def wrapper(func):
@functools.wraps(func)
def _wrapper(*args, **kwargs):
return func(*args, **kwargs)
_wrapper.__route__ = path
return _wrapper
return wrapp... | czasg/ScrapyLearning | czaSpider/dump/bootstrap_test/blogs_v1/pyws/route.py | route.py | py | 1,042 | python | en | code | 1 | github-code | 36 |
6410410688 | import random
import os
import argparse
from typing import DefaultDict
# from paper "Learning Unknown from Correlations:
# Graph Neural Network for Inter-novel-protein Interaction Prediction"
standard_acids = [
('A', 1), ('C', 6), ('D', 5), ('E', 7), ('F', 2),
('G', 1), ('H', 4), ('I', 2), ('K', 5), ... | LtECoD/PPITrans | data/dscript/builddataset.py | builddataset.py | py | 5,962 | python | en | code | 4 | github-code | 36 |
25046698571 | #!/usr/bin/python
import json
import re
import os
import sys
# Get data.json from Twitter for
# Followers: https://oauth-playground.glitch.me/?id=usersIdFollowers¶ms=%28%27user.fields%21%27description%27%29_
# Followings: https://oauth-playground.glitch.me/?id=usersIdFollowing¶ms=%28%27user.fields%21%27descr... | tjosten/twitter-mastodon-finder | finder.py | finder.py | py | 983 | python | en | code | 0 | github-code | 36 |
36947645839 | __revision__ = "src/engine/SCons/Tool/JavaCommon.py bee7caf9defd6e108fc2998a2520ddb36a967691 2019-12-17 02:07:09 bdeegan"
import os
import os.path
import re
import glob
java_parsing = 1
default_java_version = '1.4'
# a switch for which jdk versions to use the Scope state for smarter
# anonymous inner class parsing.... | mongodb/mongo | src/third_party/scons-3.1.2/scons-local-3.1.2/SCons/Tool/JavaCommon.py | JavaCommon.py | py | 17,551 | python | en | code | 24,670 | github-code | 36 |
27194927025 | import logging
import numpy as np
from sklearn.model_selection import train_test_split, StratifiedKFold
from utils import logging as lg
from heatmap_tutorial import utils as ht_utils
lg.set_logging()
def get_mnist(dataset, dir_path='./data/mnist'):
if dataset == 'train':
prefix = 'train'
elif dat... | p16i/thesis-designing-recurrent-neural-networks-for-explainability | src/utils/data_provider.py | data_provider.py | py | 17,506 | python | en | code | 14 | github-code | 36 |
28555182089 | # This is a sample Python script.
# Press โR to execute it or replace it with your code.
# Press Double โง to search everywhere for classes, files, tool windows, actions, and settings.
import sys
import asyncio
import datetime
import time
import collections
import json
# function to execute aws cli 'iam' command
async... | SeungwookE/InvalidAccessKeyDetector | main.py | main.py | py | 3,645 | python | en | code | 0 | github-code | 36 |
11130997604 | import csv
import os
from flask import Blueprint, redirect, render_template, request
import sqlalchemy
from forms.addTeacherForm import AddTeacherForm
from models import GroupOfTeacher, Teacher, TeacherInGroup, db
from forms.editForm import EditTeacherForm
ROWS_PER_PAGE = 5
teachers_blueprint = Blueprint("teachers_b... | IngNoN/School_App | controllers/teachers.py | teachers.py | py | 4,762 | python | en | code | 0 | github-code | 36 |
22706853086 | import code
import gym
import torch
from tqdm import trange
import numpy as np
import components.prioritized_memory
import components.memory
from components.filesys_manager import ExperimentPath
class BaseTrainer:
def __init__(self, args):
# init experiment hyper-parameters
self.args = args
... | APM150/Continuous_Envs_Experiments | mujoco/trainers/base_trainer.py | base_trainer.py | py | 10,727 | python | en | code | 0 | github-code | 36 |
39055642818 | #!/usr/bin/env python
from __future__ import print_function
import os, sys, json
import numpy as np
from ase.build import bulk, surface
from ase.units import Rydberg, Bohr
from ase.io import read
from ase.visualize import view
from ase.spacegroup import crystal
from ase.calculators.espresso import Espresso
infile... | marshallmcdonnell/sno2_ase_espresso | surfaces/surfaces_sno2.py | surfaces_sno2.py | py | 2,092 | python | en | code | 0 | github-code | 36 |
71038521063 | import numpy as np
try:
import mc
except Exception:
pass
import cv2
import os
from PIL import Image
import torch
from torch.utils.data import Dataset
import torchvision.transforms as transforms
import utils
from . import reader
class PartialCompDataset(Dataset):
def __init__(self, config, phase):
... | XiaohangZhan/deocclusion | datasets/partial_comp_dataset.py | partial_comp_dataset.py | py | 6,088 | python | en | code | 764 | github-code | 36 |
27521291277 | from pyspark.sql import SparkSession
from pyspark.sql import functions as fs
spark= SparkSession.builder.appName("word_count").getOrCreate()
data= spark.read.text("book.txt")
pro_data= data.select(fs.explode(fs.split(data.value,"\\W+")).alias("words"))
pro_data.filter(pro_data.words !="")
a=pro_data.select("words")... | AmanSolanki007/Pyspark_problems | word_count_dataframe.py | word_count_dataframe.py | py | 353 | python | en | code | 0 | github-code | 36 |
74120455144 | import pygame
from constantes import *
from auxiliar import Auxiliar
class Background:
'''
Clase para representar un fondo en un juego utilizando Pygame.
Attributes:
x (int): La coordenada x de la esquina superior izquierda del fondo.
y (int): La coordenada y de la esquina superior izquier... | valverdecristian/cristian_valverde_tp_pygame | background.py | background.py | py | 1,080 | python | es | code | 0 | github-code | 36 |
33066511083 | """
enums.py
Contains the different types of objects for the application.
"""
# Import modules and libraries
from enum import Enum
class UserType(Enum):
"""
Represents the different types of users in the application.
"""
admin = "admin"
manager = "manager"
inspector = "inspector"
maintenan... | Xata/cis4050-spring2023-prototipo | backend/app/enums.py | enums.py | py | 1,280 | python | en | code | 0 | github-code | 36 |
71534616424 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from icalendar import Calendar, Event
from datetime import *
from dateutil.parser import parse
from pytz import UTC # timezone
cal_file = '/Users/gyyoon/Desktop/pentaa.ics'
MEETING_STR = '[ํ์]'
TEATIME_STR = '[Tea-Time]'
WORK_STR = '[์
๋ฌด]'
NONWORK_STR = '[๋น์
๋ฌด]'
LUNCH_ST... | Dry8r3aD/ics_parser | run.py | run.py | py | 8,555 | python | en | code | 0 | github-code | 36 |
3383079371 | class Solution:
def maxSlidingWindow(self, nums: List[int], k: int) -> List[int]:
output = []
q = collections.deque() # index
l = r = 0
# O(n) O(n)
while r < len(nums):
# pop smaller values from q
while q and nums[q[-1]] < nums[r]:
q.p... | neetcode-gh/leetcode | python/0239-sliding-window-maximum.py | 0239-sliding-window-maximum.py | py | 582 | python | en | code | 4,208 | github-code | 36 |
2760395481 | import os
from datetime import datetime, timedelta
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
import googleapiclient.discovery
import googleapiclient.errors
import httplib2.error
import youtube_dl
import log... | vachau/youtube-restreamer | utils/apis.py | apis.py | py | 12,777 | python | en | code | 6 | github-code | 36 |
30055311792 | from collections import defaultdict
import os
import pandas as pd
path = '/home/djf/djf/POI/CDRF/data/Foursquare_NYC.txt'
dic = defaultdict(int)
f = open(path, 'r')
lines = f.readlines()
for line in lines:
user, t, lat, lon, POI = line.strip().split('\t')
dic[int(POI)] += 1
counts = [item[1] for item in... | Mediocre250/CTMR | long_tail.py | long_tail.py | py | 462 | python | en | code | 0 | github-code | 36 |
16154091028 | from django.contrib import admin
from .models import InstrumentItem
# Register your models here.
class InstrumentItemAdmin(admin.ModelAdmin):
search_fields = ['definition']
list_filter = ['instrument']
list_display = ['definition','instrument','discrimination','difficulty','guessing','upper_asymptote']
ad... | langcog/web-cdi | webcdi/cdi_forms/cat_forms/admin.py | admin.py | py | 375 | python | en | code | 7 | github-code | 36 |
37213151621 | #!/usr/bin/env python3
import argparse
from pprint import pprint
import json
import hlib
def check_temp(cl, device_id):
device_name = None
# first, try and find the device as a device
url = f"/clip/v2/resource/device/{device_id}"
resp = cl.get(url)
if resp.status_code == 200:
... | parlaynu/hue-utilities | bin/check-temp.py | check-temp.py | py | 2,946 | python | en | code | 0 | github-code | 36 |
10423506179 | # coding: utf-8
import xlrd
def getProgramList(filepath):
program_list = dict()
program_list[u'็ฝ็ปๅง'] = []
program_list[u'็ฝ็ป็ตๅฝฑ'] = []
program_list[u'็ฝ็ป็ปผ่บ'] = []
data = xlrd.open_workbook(filepath)
table = data.sheet_by_name(u'็ฝ็ปๅง')
nrows = table.nrows
ncols = table.ncols
for i in range(2, nrows):
one_p... | LayneIns/CrawlerProject | crawl2/dataHelper/fetchProgram.py | fetchProgram.py | py | 1,465 | python | en | code | 1 | github-code | 36 |
41896395893 | import cv2
import numpy as np
import csv
import math
img = cv2.imread(".//new_dataset//250.jpg")
img = cv2.GaussianBlur(img , (5 , 5) , 0)
n = 64
div = 256//n #n is the number of bins, here n = 64
rgb = cv2.split(img)
q = []
for ch in rgb:
vf = np.vectorize(lambda x, div: int(x//div)*div)
quanti... | kumar6rishabh/cbir-search-engine | ccv_searcher.py | ccv_searcher.py | py | 1,968 | python | en | code | 0 | github-code | 36 |
15733506905 | __docformat__ = "reStructuredText"
__author__ = "davidh"
import logging
import os
import re
import sys
from collections import namedtuple
from datetime import datetime, timedelta
from glob import glob
LOG = logging.getLogger(__name__)
FILENAME_RE = r"HS_H08_(?P<date>\d{8})_(?P<time>\d{4})_(?P<band>B\d{2})_FLDK_(?P<r... | ssec/sift | uwsift/project/organize_data_topics.py | organize_data_topics.py | py | 6,413 | python | en | code | 45 | github-code | 36 |
5741967370 | import os
import pandas as pd
from sklearn.model_selection import KFold, train_test_split
root_path = os.path.dirname(__file__)
asset_path = os.path.join(root_path, '../assets')
# load the full titanic example data
data = pd.read_csv(os.path.join(root_path, '../data/train.csv'))
# train / test split
train_data, tes... | Esadruhn/owkin_elixir_hackathon | substra_materials/titanic_example/titanic/scripts/generate_data_samples.py | generate_data_samples.py | py | 1,475 | python | en | code | 1 | github-code | 36 |
14940809637 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
try:
import petsclinter as pl
except ModuleNotFoundError as mnfe:
try:
petsc_dir = os.environ['PETSC_DIR']
except KeyError as ke:
raise RuntimeError('Must set PETSC_DIR environment variable') from ke
sys.path.insert(0, os.path.join(pets... | firedrakeproject/slepc | lib/slepc/bin/maint/slepcClangLinter.py | slepcClangLinter.py | py | 3,156 | python | en | code | 2 | github-code | 36 |
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