text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> raw = ds_r[bb]
labels = ds_l[bb]
out_path = './data/small.n5'
with z5py.File(out_path, 'a') as f:
f.create_dataset('raw', data=raw, compression='gzip', chunks=ds_r.chunks)
f.create_dataset('labels', data=labels, compression='gzip', chunks=ds_l.chunks)
if __name__ == '__m... | code_fim | hard | {
"lang": "python",
"repo": "JoOkuma/torch-em",
"path": "/experiments/mito-em/prepare_train_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> itms=sorted(set(args[0].split(' ')))
itms=[x for x in itms if x!='']
li=len(itms)
if li>0:
if li>self.maxlength:
self.maxlength=li
inputkws=[]
for kw in itms:
if len(kw)==0:
print itms,... | code_fim | hard | {
"lang": "python",
"repo": "openaire/iis",
"path": "/iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/functions/aggregate/mining.py",
"mode": "spm",
"license": "Zlib",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openaire/iis path: /iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/functions/aggregate/mining.py
import re
import itertools
import setpath
import functions
import lib.jopts as jopts
from operator import itemgetter
import random
__docformat__ = 'reStructuredText en'
... | code_fim | hard | {
"lang": "python",
"repo": "openaire/iis",
"path": "/iis-3rdparty-madis/src/main/resources/eu/dnetlib/iis/3rdparty/scripts/madis/functions/aggregate/mining.py",
"mode": "psm",
"license": "Zlib",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# returns True if valid land
def checkValid(self, grid, visited, x, y):
if x < 0 or x >= len(grid): return False
if y < 0 or y >= len(grid[0]): return False
if (x,y) in visited: return False
return grid[x][y] == 1
def checkLand(self, grid, x, y):
... | code_fim | hard | {
"lang": "python",
"repo": "phibzy/Contests",
"path": "/Leetcode/Aug20/300820/q3/q3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.checkLand(grid, x-1, y): n+=1
if self.checkLand(grid, x+1, y): n+=1
if self.checkLand(grid, x, y-1): n+=1
if self.checkLand(grid, x, y+1): n+=1
l... | code_fim | hard | {
"lang": "python",
"repo": "phibzy/Contests",
"path": "/Leetcode/Aug20/300820/q3/q3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: phibzy/Contests path: /Leetcode/Aug20/300820/q3/q3.py
#!/usr/bin/python3
"""
@author : Chris Phibbs
@created : Sunday Aug 30, 2020 14:05:56 AEST
@file : q3
"""
class Solution:
def minDays(self, grid: List[List[int]]) -> int:
# bfs - find 1, run bfs. Then loop ... | code_fim | hard | {
"lang": "python",
"repo": "phibzy/Contests",
"path": "/Leetcode/Aug20/300820/q3/q3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.name: str = name
self.path: str = path
self.filter: str = filter<|fim_prefix|># repo: JohannesHaering/WASA1 path: /msclassifier/src/domain/machinelearning/ModelInfo.py
class ModelInfo:
<|fim_middle|> def __init__(self, name: str, path: str, filter: str):
| code_fim | easy | {
"lang": "python",
"repo": "JohannesHaering/WASA1",
"path": "/msclassifier/src/domain/machinelearning/ModelInfo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JohannesHaering/WASA1 path: /msclassifier/src/domain/machinelearning/ModelInfo.py
class ModelInfo:
<|fim_suffix|> self.name: str = name
self.path: str = path
self.filter: str = filter<|fim_middle|> def __init__(self, name: str, path: str, filter: str):
| code_fim | easy | {
"lang": "python",
"repo": "JohannesHaering/WASA1",
"path": "/msclassifier/src/domain/machinelearning/ModelInfo.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gurudarshan266/FSS-HW-Group-P path: /Project/results/f1/ivy_tune.py
{'ivy': {'svm': ({'kernel': 'rbf', 'C': 10.0}, 0.034482758620689662, 0.035087719298245612), 'tuned_ensemble': ({'svm__C': 100000.0, 'rf__n_estimators': 101, 'cart__min_samples_leaf': 7, 'knn__n_neighbors': 2, 'rf__random_state': ... | code_fim | hard | {
"lang": "python",
"repo": "gurudarshan266/FSS-HW-Group-P",
"path": "/Project/results/f1/ivy_tune.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>33333337, 0.38095238095238099), 'cart': ({'max_depth': 50, 'random_state': 1542, 'max_features': 0.19183673469387758, 'min_samples_split': 13, 'min_samples_leaf': 5}, 0.31192660550458717, 0.2105263157894737), 'knn': ({'n_neighbors': 8, 'weights': 'uniform'}, 0.23529411764705882, 0.23749999999999996)}}<|fi... | code_fim | hard | {
"lang": "python",
"repo": "gurudarshan266/FSS-HW-Group-P",
"path": "/Project/results/f1/ivy_tune.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif root.left is not None and root.right is None:
self.maxDepth_helper(root.left, cur_d += 1)
elif root.right is not None and root.left is None:
self.maxDepth_helper(root.right, cur_d += 1)
else:
self.maxDepth_helper(root.left, cur_d += 1)
... | code_fim | medium | {
"lang": "python",
"repo": "nperera0/coding",
"path": "/max_depth_tree.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if root.left is None and root.right is None:
self.depth.append(cur_d)
return
elif root.left is not None and root.right is None:
self.maxDepth_helper(root.left, cur_d += 1)
elif root.right is not None and root.left is None:
self.max... | code_fim | medium | {
"lang": "python",
"repo": "nperera0/coding",
"path": "/max_depth_tree.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nperera0/coding path: /max_depth_tree.py
'''
Given a binary tree, find its maximum depth.
The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.
Note: A leaf is a node with no children.
'''
# Definition for a binary tree node.
clas... | code_fim | medium | {
"lang": "python",
"repo": "nperera0/coding",
"path": "/max_depth_tree.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ChildishBob/nscc-learn path: /linear.py
# Exercise 1 - linear.py
import numpy as np
import keras
# Build the model
model = keras.Sequential([keras.layers.Dense(units=1,input_shape=[1])])
# Set the loss and optimizer function
model.compile(optimizer='sgd', loss='mean_squared_error')
# Initialize i... | code_fim | medium | {
"lang": "python",
"repo": "ChildishBob/nscc-learn",
"path": "/linear.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Fit the model
model.fit(xs, ys, epochs=500)
# Prediction
dataIn = np.array([10.0], dtype=float)
print(model.predict(dataIn,1,1))<|fim_prefix|># repo: ChildishBob/nscc-learn path: /linear.py
# Exercise 1 - linear.py
import numpy as np
import keras
# Build the model
model = keras.Sequential([keras.layers... | code_fim | hard | {
"lang": "python",
"repo": "ChildishBob/nscc-learn",
"path": "/linear.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dhivaab/AWSRemoteCommandRun path: /config.py
SSMDocumentName ='AWS-RunPowerShellScript'
InstanceId = ['i-081a7260c79feb260']
Querytimeoutseconds = 3600
OutputS3BucketName = 'hccake'
OutputS3<|fim_suffix|>cret_access_key =''
workingdirectory =["c:\\"]
executiontimeout =["3600"]<|fim_middle|>KeyPre... | code_fim | medium | {
"lang": "python",
"repo": "dhivaab/AWSRemoteCommandRun",
"path": "/config.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>cret_access_key =''
workingdirectory =["c:\\"]
executiontimeout =["3600"]<|fim_prefix|># repo: dhivaab/AWSRemoteCommandRun path: /config.py
SSMDocumentName ='AWS-RunPowerShellScript'
InstanceId = ['i-081a7260c79f<|fim_middle|>eb260']
Querytimeoutseconds = 3600
OutputS3BucketName = 'hccake'
OutputS3KeyPre... | code_fim | medium | {
"lang": "python",
"repo": "dhivaab/AWSRemoteCommandRun",
"path": "/config.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WesternHAB/HABcode path: /ControlEverything_Methane_Ozone/Ozone/ADC121C_MQ131.py
#!/usr/bin/python3
# Distributed with a free-will license.
# Use it any way you want, profit or free, provided it fits in the licenses of its associated works.
# ADC121C_MQ131
# This code is designed to work with the... | code_fim | hard | {
"lang": "python",
"repo": "WesternHAB/HABcode",
"path": "/ControlEverything_Methane_Ozone/Ozone/ADC121C_MQ131.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # ADC121C_MQ131 address, 0x50(80)
# Read data back from 0x00(00), 2 bytes
# raw_adc MSB, raw_adc LSB
while True:
data = bus.read_i2c_block_data(0x50, 0x00, 2)
# Convert the data to 12-bits
raw_adc = (data[0] & 0x0F) * 256 + data[1]
ppm = (1.99 * raw_adc) / 4096.0 + 0.01
timestmp = ((str(da... | code_fim | hard | {
"lang": "python",
"repo": "WesternHAB/HABcode",
"path": "/ControlEverything_Methane_Ozone/Ozone/ADC121C_MQ131.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mfuon2/btrealestate path: /listings/urls.py
# This handle the url for routing
<|fim_suffix|># Defines views to pass dynamic data to listings page
urlpatterns = [
path('', views.index, name='listings'),
path('<int:listing_id>', views.listing, name='listing'),
path('search', views.search, na... | code_fim | easy | {
"lang": "python",
"repo": "Mfuon2/btrealestate",
"path": "/listings/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Defines views to pass dynamic data to listings page
urlpatterns = [
path('', views.index, name='listings'),
path('<int:listing_id>', views.listing, name='listing'),
path('search', views.search, name='search')
]<|fim_prefix|># repo: Mfuon2/btrealestate path: /listings/urls.py
# This handle the url... | code_fim | easy | {
"lang": "python",
"repo": "Mfuon2/btrealestate",
"path": "/listings/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yexiaoguai/blogproject path: /movie/models.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import markdown
from django.db import models
from django.contrib.auth.models import User
from datetime import datetime
class MovieRankings(models.Model):
"""
各种电影排行榜.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "yexiaoguai/blogproject",
"path": "/movie/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 观看的用户.
# 用户一对多MovieHistory,可以看多个电影.
user = models.ForeignKey(User)
# 观看的电影.
movie = models.ForeignKey(Movie)
# 观看的时间.
date = models.DateTimeField(auto_now_add=True)
# 0表示用户观看了该电影,1表示收藏,2表示推荐.
marked = models.IntegerField(blank=True, null=True)
def __unicode__... | code_fim | hard | {
"lang": "python",
"repo": "yexiaoguai/blogproject",
"path": "/movie/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if math == "subtraction":
e.insert(0, f_num - int(second_number))
if math == "multiplication":
e.insert(0, f_num * int(second_number))
if math == "division":
e.insert(0, f_num / int(second_number))
def button_subtract():
first_number = e.get()
global f_num
global math
math = "... | code_fim | hard | {
"lang": "python",
"repo": "mortazavian/calculator-python",
"path": "/calculator.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mortazavian/calculator-python path: /calculator.py
from tkinter import *
global math
root = Tk()
root.title("Calculator")
e = Entry(root,width=60,borderwidth=5)
e.grid(columnspan=3)
def button_click(number):
#e.delete(0, END)
current = e.get()
e.delete(0, END)
e.insert(0, ... | code_fim | hard | {
"lang": "python",
"repo": "mortazavian/calculator-python",
"path": "/calculator.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Define fdsn client to get data from
client = Client('http://fdsnws.raspberryshakedata.com')
# Define start and end time
orig_time = UTCDateTime(EQ_TIME)
t1 = orig_time - T_START
t2 = orig_time + T_END
# Download and filfter data
st = client.get_waveforms(NETWORK, STATION, "00", CHANNEL,
... | code_fim | hard | {
"lang": "python",
"repo": "shicks-seismo/obspy_plotting",
"path": "/plot_raspshake_event_waveforms_rays.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shicks-seismo/obspy_plotting path: /plot_raspshake_event_waveforms_rays.py
#!/usr/bin/env python
"""
Script to download and plot RaspberryShake station data
Also computes and plots theoretical phase arrival times and raypaths.
See https://docs.obspy.org/packages/obspy.taup.html for more info on ... | code_fim | hard | {
"lang": "python",
"repo": "shicks-seismo/obspy_plotting",
"path": "/plot_raspshake_event_waveforms_rays.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> mfcc_result = []
for info in phonemes_info:
start, stop = (1000 * info['start'], 1000 * info['end'])
segment = np.array(wav[start:stop].get_array_of_samples())
if ignore_shorter_phonemes and segment.size < phoneme_len:
continue
... | code_fim | hard | {
"lang": "python",
"repo": "eMaerthin/microevolution-lang-phones",
"path": "/scripts/chains/mfcc_local.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eMaerthin/microevolution-lang-phones path: /scripts/chains/mfcc_local.py
import json
import logging
import numpy as np
from python_speech_features import mfcc
from format_converters import get_segment
from schemas import *
from chains.mfcc import Mfcc
logger = logging.getLogger()
class MfccLo... | code_fim | hard | {
"lang": "python",
"repo": "eMaerthin/microevolution-lang-phones",
"path": "/scripts/chains/mfcc_local.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: diogobaeder/project-euler path: /1/problem1.py
#!/usr/bin/env python
class Problem1(object):
<|fim_suffix|> current_number = 1
total = 0
while current_number < threshold:
if (current_number % 3 == 0) or (current_number % 5 == 0):
total += current... | code_fim | easy | {
"lang": "python",
"repo": "diogobaeder/project-euler",
"path": "/1/problem1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> current_number = 1
total = 0
while current_number < threshold:
if (current_number % 3 == 0) or (current_number % 5 == 0):
total += current_number
current_number += 1
return total
if __name__ == '__main__':
problem1 = Problem1()
... | code_fim | easy | {
"lang": "python",
"repo": "diogobaeder/project-euler",
"path": "/1/problem1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
problem1 = Problem1()
print problem1.sum_below(1000) # == 233168<|fim_prefix|># repo: diogobaeder/project-euler path: /1/problem1.py
#!/usr/bin/env python
class Problem1(object):
<|fim_middle|> def sum_below(self, threshold):
current_number = 1
total... | code_fim | hard | {
"lang": "python",
"repo": "diogobaeder/project-euler",
"path": "/1/problem1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nb786/NaBooLo path: /textt/views.py
# I Have Created this file -Nabeel
from django.http import HttpResponse
from django.shortcuts import render
def index(request):
return render(request,'index.html')
def aboutme(request):
return HttpResponse (" <a href='https://nb786.github.io/Ncoder/a... | code_fim | hard | {
"lang": "python",
"repo": "nb786/NaBooLo",
"path": "/textt/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (charcount == "on"):
analyzed = ""
for char in djtext:
analyzed = len(djtext)
dics = {'purpose': 'Total no. of Character in your text are', 'analyzed_text': analyzed}
if (removepunc != "on" and fullcaps != "on" and newlineremover != "on" and extraspaceremover != "on" and c... | code_fim | hard | {
"lang": "python",
"repo": "nb786/NaBooLo",
"path": "/textt/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02272/s513789824.py
A = []
ans = 0
def merge(left, mid, right):
global A
global ans
n1 = mid - left
n2 = right - mid
l = []
r = []
for i in range(n1):
l += [A[left + i]]
for i in range(n2):
r += [A[mid + i]]
l += [10**18]
r += [10**18]
i ... | code_fim | medium | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02272/s513789824.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
global ans
global A
n = int(input())
A = list(map(int,input().split()))
Msort(0,n)
print(" ".join(list(map(str,A))))
print(ans)
main()<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02272/s513789824.py
A = []
ans = 0
def merge(left, mid, right):
global A
global ans... | code_fim | medium | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02272/s513789824.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_faces(shapes):
# cmds.select(clear=True)
# print(shapes)
face_data = []
for shape in shapes:
mSel = om2.MSelectionList()
mSel.add(shape)
mDagPath, mObj = mSel.getComponent(0)
geo = om2.MItMeshPolygon(mDagPath, mObj)
while not geo.isDone():
... | code_fim | hard | {
"lang": "python",
"repo": "shrimo/vfx_dev",
"path": "/maya/general_lesson/lesson_v01.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def set_pos_vertex(shapes, up_y):
spc = om2.MSpace.kWorld
for shape in shapes:
mSel = om2.MSelectionList()
mSel.add(shape)
mDagPath, mObj = mSel.getComponent(0)
vtx = om2.MItMeshVertex(mDagPath, mObj)
while not vtx.isDone():
vtx_pos = vtx.positio... | code_fim | hard | {
"lang": "python",
"repo": "shrimo/vfx_dev",
"path": "/maya/general_lesson/lesson_v01.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shrimo/vfx_dev path: /maya/general_lesson/lesson_v01.py
"""
get poly data(face center, face id, etc), select face, create object by face data
setPosition for vertex (random)
import sys
module_path = '/home/shrimo/Desktop/course/git/vfx_dev/maya/general_lesson'
if module_path not in sys.path:
... | code_fim | hard | {
"lang": "python",
"repo": "shrimo/vfx_dev",
"path": "/maya/general_lesson/lesson_v01.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leostellallc/postal path: /www/cgi-bin/is-admin.py
#!/usr/bin/env python3
import cgitb
import sys
<|fim_suffix|>cgitb.enable()
sys.stdout.write('Content-Type: application/octet-stream\n\n')
sys.stdout.write('yes' if is_admin() else 'no')
sys.stdout.flush()<|fim_middle|>from auth import is_admin
... | code_fim | easy | {
"lang": "python",
"repo": "leostellallc/postal",
"path": "/www/cgi-bin/is-admin.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|>cgitb.enable()
sys.stdout.write('Content-Type: application/octet-stream\n\n')
sys.stdout.write('yes' if is_admin() else 'no')
sys.stdout.flush()<|fim_prefix|># repo: leostellallc/postal path: /www/cgi-bin/is-admin.py
#!/usr/bin/env python3
import cgitb
import sys
<|fim_middle|>from auth import is_admin
... | code_fim | easy | {
"lang": "python",
"repo": "leostellallc/postal",
"path": "/www/cgi-bin/is-admin.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> # =================================================================== PreProcess
feats = [col for col in raw.columns.values if col not in ['ID_code', 'target']]
# =================================================================== Model
train = raw[:len_train]
test = raw[len_trai... | code_fim | hard | {
"lang": "python",
"repo": "xins-yao/Kaggle_SCTP_31th_solution",
"path": "/train_augement.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xins-yao/Kaggle_SCTP_31th_solution path: /train_augement.py
import gc
import sys
import time
import warnings
import multiprocessing
import numpy as np
import pandas as pd
import lightgbm as lgb
from os import path, makedirs
from tqdm import tqdm
from utils import Logger
from dateti... | code_fim | hard | {
"lang": "python",
"repo": "xins-yao/Kaggle_SCTP_31th_solution",
"path": "/train_augement.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'num_leaves': 8,
'max_depth': -1,
'feature_fraction': 0.05,
'bagging_freq': 5,
'bagging_fraction': 0.4,
'min_data_in_leaf': 80,
'min_sum_hessian_in_leaf': 10.0,
}
print('model params:\n{}'.format(pd.Series(list(param.values()), index=... | code_fim | hard | {
"lang": "python",
"repo": "xins-yao/Kaggle_SCTP_31th_solution",
"path": "/train_augement.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bbbales2/modal path: /experiments/generate_data.py
#%%
import numpy
import time
import scipy
import os
os.chdir('/home/bbales2/modal')
import pyximport
import seaborn
pyximport.install(reload_support = True)
import polybasisqu
reload(polybasisqu)
#from rotations import symmetry
#from rotations ... | code_fim | hard | {
"lang": "python",
"repo": "bbbales2/modal",
"path": "/experiments/generate_data.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>dCdc44 = Kt.dot(dCdc44).dot(Kt.T)
if True:
dKdw, _ = polybasisqu.buildKM(dCdw, dp, pv, density)
dKdx, _ = polybasisqu.buildKM(dCdx, dp, pv, density)
dKdy, _ = polybasisqu.buildKM(dCdy, dp, pv, density)
dKdz, _ = polybasisqu.buildKM(dCdz, dp, pv, density)
dKdc11, _ = polybasisqu.build... | code_fim | hard | {
"lang": "python",
"repo": "bbbales2/modal",
"path": "/experiments/generate_data.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> ids = []
for i in names:
try:
actor_id = ActorDB.objects.get(name=i).id
ids.append((i, actor_id))
except ActorDB.DoesNotExist:
return []
return ids<|fim_prefix|># repo: matthewgoulet/moviemediaportal path: /rt/helper.py
from django.contrib.auth.models import User
from rt.models import Mov... | code_fim | hard | {
"lang": "python",
"repo": "matthewgoulet/moviemediaportal",
"path": "/rt/helper.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matthewgoulet/moviemediaportal path: /rt/helper.py
from django.contrib.auth.models import User
from rt.models import Movie_Suggestion, MovieDB, ActorDB, TVDB
def user_present(username):
<|fim_suffix|>def sort_actor_id(actors, names):
ids = []
for i in names:
try:
actor_id = ActorDB.object... | code_fim | hard | {
"lang": "python",
"repo": "matthewgoulet/moviemediaportal",
"path": "/rt/helper.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Takes a list of MovieDB objects and their titles as Strings
#Output a list of tuples containing the (title, id)
def sort_id(movies, titles):
ids = []
for i in titles:
try:
movie_id = MovieDB.objects.get(title=i).id
ids.append((i, movie_id))
except MovieDB.DoesNotExist:
return []
return id... | code_fim | medium | {
"lang": "python",
"repo": "matthewgoulet/moviemediaportal",
"path": "/rt/helper.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>@juju.requires_login
def model_status():
""" Returns the FullStatus output of a model
Returns:
Dictionary of model status
"""
return juju.CLIENT.Client(request="FullStatus")<|fim_prefix|># repo: frankmalcolmkembery/conjure-up path: /conjureup/api/models.py
""" Interfaces to Juju API ... | code_fim | hard | {
"lang": "python",
"repo": "frankmalcolmkembery/conjure-up",
"path": "/conjureup/api/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Returns the FullStatus output of a model
Returns:
Dictionary of model status
"""
return juju.CLIENT.Client(request="FullStatus")<|fim_prefix|># repo: frankmalcolmkembery/conjure-up path: /conjureup/api/models.py
""" Interfaces to Juju API ModelManager """
from conjureup import j... | code_fim | hard | {
"lang": "python",
"repo": "frankmalcolmkembery/conjure-up",
"path": "/conjureup/api/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: frankmalcolmkembery/conjure-up path: /conjureup/api/models.py
""" Interfaces to Juju API ModelManager """
from conjureup import juju
@juju.requires_login
def list_models(user='user-admin'):
<|fim_suffix|>@juju.requires_login
def model_info(model):
""" Returns information on select model
... | code_fim | hard | {
"lang": "python",
"repo": "frankmalcolmkembery/conjure-up",
"path": "/conjureup/api/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mengyangbai/leetcode path: /dynamicprogramming/outofboundarypaths.py
class Solution(object):
def findPaths(self, m, n, N, i, j):
"""
:type m: int
:type n: int
:type N: int
:type i: int
:type j: int
:rtype: int
""<|fim_suffix|>e(m... | code_fim | hard | {
"lang": "python",
"repo": "mengyangbai/leetcode",
"path": "/dynamicprogramming/outofboundarypaths.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>e(m)]
for x in range(m):
for y in range(n):
for dx,dy in dz:
nx,ny = x + dx, y+dy
if 0 <= nx < m and 0 <= ny <n:
ndp[nx][ny]= (ndp[nx][ny]+dp[x][y])%MOD
else:... | code_fim | hard | {
"lang": "python",
"repo": "mengyangbai/leetcode",
"path": "/dynamicprogramming/outofboundarypaths.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BlacksThunders/AirBnB_clone path: /console.py
#!/usr/bin/python3
"""
program of the command interpreter
"""
import cmd
import models
import re
from models.base_model import BaseModel
from models import storage
from models.user import User
from models.state import State
from models.city import Ci... | code_fim | hard | {
"lang": "python",
"repo": "BlacksThunders/AirBnB_clone",
"path": "/console.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (type(line) == str):
arg_line = line.split()
len_args = len(arg_line)
if (self.check_if_created(arg_line, len_args) != 1):
get_inst = arg_line[0] + "." + arg_line[1]
dict_classes = models.storage.all()
if get... | code_fim | hard | {
"lang": "python",
"repo": "BlacksThunders/AirBnB_clone",
"path": "/console.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def compress_image(data):
with open(PATH.format(data['name']), 'wb+') as file:
file.write(data['binary'])
image = Image.open(PATH.format(data['name']))
new_img = image.resize((128, 128))
new_img.save(PATH.format(data['name']))
with open(PATH.format(data['name']), '... | code_fim | medium | {
"lang": "python",
"repo": "VasuDholakiya2810/chat-application",
"path": "/services/check_image.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: VasuDholakiya2810/chat-application path: /services/check_image.py
""" Image Check / Compress Image"""
import re
import os
from PIL import Image
from common.constant import PATH
<|fim_suffix|>def compress_image(data):
with open(PATH.format(data['name']), 'wb+') as file:
file.write(... | code_fim | medium | {
"lang": "python",
"repo": "VasuDholakiya2810/chat-application",
"path": "/services/check_image.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(PATH.format(data['name']), 'wb+') as file:
file.write(data['binary'])
image = Image.open(PATH.format(data['name']))
new_img = image.resize((128, 128))
new_img.save(PATH.format(data['name']))
with open(PATH.format(data['name']), 'rb') as image_file:
... | code_fim | medium | {
"lang": "python",
"repo": "VasuDholakiya2810/chat-application",
"path": "/services/check_image.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kiniou/simply-builder path: /bin/simply-createschroot
#!/usr/bin/python
import sys,os
import argparse
import subprocess
from pprint import pprint
chroot_start_path="/srv/chroot"
chroots_conf="/etc/schroot/chroot.d"
build_pkgs = 'build-essential fakeroot devscripts apt-utils'
include = 'eatmyda... | code_fim | hard | {
"lang": "python",
"repo": "kiniou/simply-builder",
"path": "/bin/simply-createschroot",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if( os.path.ismount( start_path ) ) :
print("%s is mounted" % start_path)
else:
print("%s is not mounted" % start_path)
exit()
complete_path = os.path.join(start_path,end_path)
cmd = 'btrfs subvolume list "%s" > /dev/null 2>&1' % complete_path
p = subprocess.P... | code_fim | hard | {
"lang": "python",
"repo": "kiniou/simply-builder",
"path": "/bin/simply-createschroot",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> with pytest.raises(IntegrityError):
Page.objects.create(url=regex)
@pytest.mark.skipif('connection.vendor == "mysql"', reason=MYSQL_REASON)
def test_invalid_regex():
exception = IntegrityError if connection.vendor == 'sqlite' else DataError
with pytest.raises(exception):
Page... | code_fim | hard | {
"lang": "python",
"repo": "vinayinvicible/django-regexfield",
"path": "/tests/test_regexfield.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Page.objects.create(url='^/[a-z]*/$')
assert Page.objects.filter(url__imatch='/path/')
assert Page.objects.filter(url__imatch='/PATH/')
@pytest.mark.skipif('connection.vendor == "mysql"', reason=MYSQL_REASON)
@pytest.mark.parametrize('regex', ('', '.*', '.?', '[\w]*', '[\w]?'))
def test_empt... | code_fim | hard | {
"lang": "python",
"repo": "vinayinvicible/django-regexfield",
"path": "/tests/test_regexfield.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vinayinvicible/django-regexfield path: /tests/test_regexfield.py
from __future__ import absolute_import, unicode_literals
from django.db import DataError, IntegrityError, connection
import pytest
from .models import Page
pytestmark = pytest.mark.django_db
MYSQL_REASON = 'MySQL parses check c... | code_fim | hard | {
"lang": "python",
"repo": "vinayinvicible/django-regexfield",
"path": "/tests/test_regexfield.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jalvaradosegura/folder_organizer path: /docs/config.py
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
<|fim_suffix|>FILES_DESTINATION = {
'images': ['.jpg', '.jpeg', '.png'],
'documents': ['.pdf', '.xlsx', '.docx', '.txt'],
'apps': ['.pkg', '.dmg', ... | code_fim | medium | {
"lang": "python",
"repo": "jalvaradosegura/folder_organizer",
"path": "/docs/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>FILES_DESTINATION = {
'images': ['.jpg', '.jpeg', '.png'],
'documents': ['.pdf', '.xlsx', '.docx', '.txt'],
'apps': ['.pkg', '.dmg', '.exe'],
'videos': ['.mp4', '.flv'],
'audios': ['.mp3'],
'compressions': ['.rar', '.zip'],
'scripts': ['.py', '.rb', '.js', '.html'],
}<|fim_pref... | code_fim | medium | {
"lang": "python",
"repo": "jalvaradosegura/folder_organizer",
"path": "/docs/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_004_when_df_is_named() -> None:
"""Tests what happens when df has a name."""
df = generate_test_data()
df.name = "Named dataframe"
skim(df)<|fim_prefix|># repo: lenamax2355/skimpy-1 path: /tests/test_main.py
"""Test cases for the __main__ module."""
import pytest
from click.testi... | code_fim | hard | {
"lang": "python",
"repo": "lenamax2355/skimpy-1",
"path": "/tests/test_main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lenamax2355/skimpy-1 path: /tests/test_main.py
"""Test cases for the __main__ module."""
import pytest
from click.testing import CliRunner
from skimpy import __main__
from skimpy import generate_test_data
from skimpy import skim
@pytest.fixture
def runner() -> CliRunner:
"""Fixture for inv... | code_fim | medium | {
"lang": "python",
"repo": "lenamax2355/skimpy-1",
"path": "/tests/test_main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RebeRobles/Dojo_Reads path: /dojo_book_app/apps.py
from django.apps import AppConfig
<|fim_suffix|> default_auto_field = 'django.db.models.BigAutoField'
name = 'dojo_book_app'<|fim_middle|>class DojoBookAppConfig(AppConfig):
| code_fim | easy | {
"lang": "python",
"repo": "RebeRobles/Dojo_Reads",
"path": "/dojo_book_app/apps.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RebeRobles/Dojo_Reads path: /dojo_book_app/apps.py
from django.apps import AppConfig
<|fim_suffix|> default_auto_field = 'django.db.models.BigAutoField'
name = 'dojo_book_app'<|fim_middle|>
class DojoBookAppConfig(AppConfig):
| code_fim | easy | {
"lang": "python",
"repo": "RebeRobles/Dojo_Reads",
"path": "/dojo_book_app/apps.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> default_auto_field = 'django.db.models.BigAutoField'
name = 'dojo_book_app'<|fim_prefix|># repo: RebeRobles/Dojo_Reads path: /dojo_book_app/apps.py
from django.apps import AppConfig
<|fim_middle|>class DojoBookAppConfig(AppConfig):
| code_fim | easy | {
"lang": "python",
"repo": "RebeRobles/Dojo_Reads",
"path": "/dojo_book_app/apps.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hbcbh1999/yelpReviewQualityPredictor path: /Data/find_wrd_freq.py
"""
This file goes through the data to find the frequencies of words in the corpus
"""
import csv
import time, datetime
import calendar
from collections import defaultdict
import chardet
import re
REVIEW_ID_COL = 0;
U... | code_fim | hard | {
"lang": "python",
"repo": "hbcbh1999/yelpReviewQualityPredictor",
"path": "/Data/find_wrd_freq.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> fieldNames = readCSV[0]
print(fieldNames)
readForOneHot = readCSV[1:]
print ("Going through the words for the frequencies.")
# Go through the set, finding the frequencies
for row in readForOneHot:
getAsciiFriendlyString(row[TEXT_COL], wordFrequencies)
print (len(readForOneHot))
# W... | code_fim | hard | {
"lang": "python",
"repo": "hbcbh1999/yelpReviewQualityPredictor",
"path": "/Data/find_wrd_freq.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# In[20]:
sb.catplot(x="Age", y="Sex",
hue="Survived", col="Embarked",
notch = False,
palette = "Set2",
data=data, kind="box",
height=4, aspect=.7);
# In[17]:
sb.catplot(x="Age", y="Sex",
hue="Survived",... | code_fim | medium | {
"lang": "python",
"repo": "StevenBaez/MSDS",
"path": "/410 - Titanic Discussion.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>import numpy as np
import matplotlib
# In[20]:
sb.catplot(x="Age", y="Sex",
hue="Survived", col="Embarked",
notch = False,
palette = "Set2",
data=data, kind="box",
height=4, aspect=.7);
# In[17]:
sb.catplot(x="Age", y=... | code_fim | medium | {
"lang": "python",
"repo": "StevenBaez/MSDS",
"path": "/410 - Titanic Discussion.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StevenBaez/MSDS path: /410 - Titanic Discussion.py
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
import seaborn as sb
import matplotlib as mp
data = pd.read_csv("/Users/stevenbaez/Desktop/train.csv")
<|fim_suffix|>
sb.catplot(x="Age", y="Sex",
... | code_fim | hard | {
"lang": "python",
"repo": "StevenBaez/MSDS",
"path": "/410 - Titanic Discussion.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("\n15. Sorting lists.")
temp_list = [5,55,555]
temp_list.sort()
print("\tSorted list: " + str(temp_list))
temp_list.sort(reverse=True)
print("\tSorted list: " + str(temp_list))
print("\tSorting lists by callable functions (inbuilt) e.g. len using 'key")
temp_string = "I am a software tester."
temp_s... | code_fim | hard | {
"lang": "python",
"repo": "SandeepDhamale19/TestAutomation.Python.Basics",
"path": "/3_Collections/1_Lists.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SandeepDhamale19/TestAutomation.Python.Basics path: /3_Collections/1_Lists.py
# Lists are sequence of objects
# Mutable
# Lists are represented within square brackets and items are seperated by commas
#-----------------------------------Lists-----------------------------------#
# Lists of Number... | code_fim | hard | {
"lang": "python",
"repo": "SandeepDhamale19/TestAutomation.Python.Basics",
"path": "/3_Collections/1_Lists.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Get specific elements within list: Slicing
print("\n7. Get specific elements within list: Slicing")
list_numbers = [1,2,3,4,5]
sub_list_numbers = list_numbers[1:3]
print("\tSub list: " + str(sub_list_numbers))
print("\tLast element in list: " + str(list_numbers[-1]))
print("\tGet all elements in list ... | code_fim | hard | {
"lang": "python",
"repo": "SandeepDhamale19/TestAutomation.Python.Basics",
"path": "/3_Collections/1_Lists.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uktrade/market-access-prototype path: /barriers/migrations/0012_auto_20171002_1441.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2017-10-02 14:41
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import mptt.fields
cl... | code_fim | hard | {
"lang": "python",
"repo": "uktrade/market-access-prototype",
"path": "/barriers/migrations/0012_auto_20171002_1441.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>officials in the country I am trying to export to'), ('SUPPORT_DESIRED_BROAD', 'Broader UK Government involvement'), ('SUPPORT_DESIRED_NOT_SURE', 'Not sure')], default=None, max_length=10, null=True)),
('confidentiality_issues_description', models.TextField(blank=True, null=True)),
... | code_fim | hard | {
"lang": "python",
"repo": "uktrade/market-access-prototype",
"path": "/barriers/migrations/0012_auto_20171002_1441.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hhb123/NinaproCNN path: /trainCNNfdf.py
from classNinapro import Ninapro
import numpy as np
import tensorflow as tf
print(tf.__version__)
Debug = True # for tensor dimensionality checking
ninapro = Ninapro()
ninapro.splitImagesLabels()
# Train
print('ninapro.TrainImages shape: ', ninapro.Trai... | code_fim | hard | {
"lang": "python",
"repo": "hhb123/NinaproCNN",
"path": "/trainCNNfdf.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># Use an AdamOptimizer to train the network
train = tf.train.AdamOptimizer(1e-1).minimize(cross_entropy)
# Visualization directory
graph_dir = 'sEMGCNN'
import usefulFcns
usefulFcns.BuildNewlyDir(graph_dir)
# Train the model
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
... | code_fim | hard | {
"lang": "python",
"repo": "hhb123/NinaproCNN",
"path": "/trainCNNfdf.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>with Printer(linegap=1) as printer:
for pdf_file in files:
printer.text(pdf_file)<|fim_prefix|># repo: lf-hernandez/auto-label-printer path: /main.py
from requests import get
from bs4 import BeautifulSoup, SoupStrainer
import httplib2
import re
from win32printing import Printer
def getLinks(... | code_fim | hard | {
"lang": "python",
"repo": "lf-hernandez/auto-label-printer",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lf-hernandez/auto-label-printer path: /main.py
from requests import get
from bs4 import BeautifulSoup, SoupStrainer
import httplib2
import re
from win32printing import Printer
<|fim_suffix|> for element in document.findAll('a', href=re.compile(".pdf$")):
links.append(element.get('href... | code_fim | medium | {
"lang": "python",
"repo": "lf-hernandez/auto-label-printer",
"path": "/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>files = []
for link in pdf_links:
pdf_file = requests.get(url)
files.append(pdf_file)
with Printer(linegap=1) as printer:
for pdf_file in files:
printer.text(pdf_file)<|fim_prefix|># repo: lf-hernandez/auto-label-printer path: /main.py
from requests import get
from bs4 import Beauti... | code_fim | medium | {
"lang": "python",
"repo": "lf-hernandez/auto-label-printer",
"path": "/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> global startOfGame
startOfGame = False
#list of platforms
global platforms
platforms = []
starter_platform = platform([100, 700])
platforms.append(starter_platform)
global p1
p1 = player()
def draw():
global atStartUp
if (atStartUp):
curren... | code_fim | hard | {
"lang": "python",
"repo": "priyamsahoo/Fallin-t",
"path": "/Fallint.pyde",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def startScreen(remainingTime):
background(sb)
fill(0)
textAlign(CENTER, CENTER)
textSize(40)
fill(240,225,48)
text("Welcome to Fallin't", width/2, 0.25*height/2)
textSize(100)
fill(50, 50, 50)
text(ceil(remainingTime / 1000.0), width/2, 1.65*height/2)<|fim_prefix|># re... | code_fim | hard | {
"lang": "python",
"repo": "priyamsahoo/Fallin-t",
"path": "/Fallint.pyde",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: priyamsahoo/Fallin-t path: /Fallint.pyde
from platform_class import *
from player_class import *
from functions import *
delay = 3000
startOfGame = False
# def keyPressed():
# startOfGame = True
# print(startOfGame)
# if (keyCode == 'B'):
# print("I am pressed")
# s... | code_fim | hard | {
"lang": "python",
"repo": "priyamsahoo/Fallin-t",
"path": "/Fallint.pyde",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> casas_decimais=18
if ((numero == 0) or (numero == 1)):
return "O resultado eh: " + str(numero)
elif (numero<0):
return "A raiz nao existe no conjunto real"
else:
posicao = 0
casa_decimal = 10**posicao
resultado_parcial = 0.0
while (-... | code_fim | hard | {
"lang": "python",
"repo": "AiramL/Python-Exercicios",
"path": "/raiz.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AiramL/Python-Exercicios path: /raiz.py
'''
Aluno: Lucas Airam Castro de Souza
Resumo: Programa para calcular a raiz com a precis�o n de casas decimais
def raiz(numero, casas_decimais=0):
if ((numero == 0) or (numero == 1)):
return "O resultado eh: " + str(numero)
elif... | code_fim | hard | {
"lang": "python",
"repo": "AiramL/Python-Exercicios",
"path": "/raiz.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PaulWThi/Cracking-the-Coding-Interview path: /1-4.py
# Write function that determines if a string a palindrome off of any permutation
def palinPerm(str):
<|fim_suffix|> # The final set should either have 1 element or none
return len(charSet) == 1 or len(charSet) == 0
response = "It is a pali... | code_fim | hard | {
"lang": "python",
"repo": "PaulWThi/Cracking-the-Coding-Interview",
"path": "/1-4.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # The final set should either have 1 element or none
return len(charSet) == 1 or len(charSet) == 0
response = "It is a palinPerm" if palinPerm("dadadad") else "No, not a palinPerm"
print(response)
# Time Complexity: O(N)<|fim_prefix|># repo: PaulWThi/Cracking-the-Coding-Interview path: /1-4.py
# W... | code_fim | medium | {
"lang": "python",
"repo": "PaulWThi/Cracking-the-Coding-Interview",
"path": "/1-4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
response = "It is a palinPerm" if palinPerm("dadadad") else "No, not a palinPerm"
print(response)
# Time Complexity: O(N)<|fim_prefix|># repo: PaulWThi/Cracking-the-Coding-Interview path: /1-4.py
# Write function that determines if a string a palindrome off of any permutation
def palinPerm(str):
<|fim_... | code_fim | hard | {
"lang": "python",
"repo": "PaulWThi/Cracking-the-Coding-Interview",
"path": "/1-4.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ymcat626/spider path: /04/pyquery/demo8.py
# coding: utf-8
from pyquery import PyQuery as pq
html = '''
<div id="container">
<ul class="list">
<li class="item-0">first it<|fim_suffix|>/li>
<li class="item-1 active"><a href="link4.html">fourth item</a></li>
... | code_fim | medium | {
"lang": "python",
"repo": "ymcat626/spider",
"path": "/04/pyquery/demo8.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>>
</ul
</div>
'''
# 获取属性
# 第一种方法
doc = pq(html)
a = doc('.item-0.active a')
print(a, type(a))
print(a.attr('href'))
# 第二种方法
print(a.attr.href)<|fim_prefix|># repo: ymcat626/spider path: /04/pyquery/demo8.py
# coding: utf-8
from pyquery import PyQuery as pq
html = '''
<div id="containe... | code_fim | hard | {
"lang": "python",
"repo": "ymcat626/spider",
"path": "/04/pyquery/demo8.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_can_create_under_landing_page(self):
self.assertCanCreateAt(SetupGuideLandingPage, SetupGuidePage)<|fim_prefix|># repo: stuaxo/invest path: /setup_guide/tests/test_models.py
from wagtail.tests.utils import WagtailPageTests
from setup_guide.models import SetupGuideLandingPage, SetupGu... | code_fim | hard | {
"lang": "python",
"repo": "stuaxo/invest",
"path": "/setup_guide/tests/test_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_setup_guide_page_subpages(self):
# A SetupGuidePage can only have other SetupGuidePage children
self.assertAllowedSubpageTypes(
SetupGuideLandingPage, {SetupGuidePage})
class SetupGuidePageTests(WagtailPageTests):
def test_can_create_under_landing_page(self):... | code_fim | medium | {
"lang": "python",
"repo": "stuaxo/invest",
"path": "/setup_guide/tests/test_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stuaxo/invest path: /setup_guide/tests/test_models.py
from wagtail.tests.utils import WagtailPageTests
from setup_guide.models import SetupGuideLandingPage, SetupGuidePage
from home.models import HomePage
<|fim_suffix|> def test_can_create_under_homepage(self):
self.assertCanCreateAt... | code_fim | medium | {
"lang": "python",
"repo": "stuaxo/invest",
"path": "/setup_guide/tests/test_models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: manojkumar-github/books path: /professional-python/part-1/Generators/generators-within-generators.py
"""
Python 3.3 introduces the new "yield from" statement to provide straightforward way for
a generator to call out to other generators
"""
def gen1():
<|fim_suffix|>def full_gen():
yield fro... | code_fim | hard | {
"lang": "python",
"repo": "manojkumar-github/books",
"path": "/professional-python/part-1/Generators/generators-within-generators.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
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