text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|># grad_model = Gradient_Boosting_Classifier(X_train, y_train, 0.1, 100)
# accuracy, precision, recall = get_model_errors(grad_model, X_train, y_train)
# returns R^2, MSE
def MSE_R2(model):
R2 = cross_val_score(model, X_train, y_train).mean()
MSE = abs(cross_val_score(model, X_train, y_train, sco... | code_fim | hard | {
"lang": "python",
"repo": "tibrado/case-study-driver-churn-rate",
"path": "/src/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tibrado/case-study-driver-churn-rate path: /src/models.py
import pandas as pd
import numpy as np
from sklearn.metrics import accuracy_score, precision_score, r2_score, recall_score
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier
from sklearn.tree import Decis... | code_fim | hard | {
"lang": "python",
"repo": "tibrado/case-study-driver-churn-rate",
"path": "/src/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
“”“
Time O(N)
Space O(1)
先统计数组中各个任务出现的次数。优先安排次数最多的任务。次数最多的任务安排完成之后所需的时间间隔为（max(次数)-1）*（n+1）+ p(频率最高出现的p个数p>=1)。其余任务直接插空即可。
https://www.youtube.com/watch?v=YCD_iYxyXoo
特殊情况：如果不需要插入任何idle就能把所有task安排完，那么返回的就是task的长度
””“
class Solution(object):
def leastInterval(self, tasks, n):
counts = [0]... | code_fim | hard | {
"lang": "python",
"repo": "lixuanhong/LeetCode",
"path": "/621. Task Scheduler.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lixuanhong/LeetCode path: /621. Task Scheduler.py
"""
Given a char array representing tasks CPU need to do. It contains capital letters A to Z where different letters represent different tasks.Tasks could be done without original order. Each task could be done in one interval. For each interval, ... | code_fim | hard | {
"lang": "python",
"repo": "lixuanhong/LeetCode",
"path": "/621. Task Scheduler.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Solution(object):
def leastInterval(self, tasks, n):
counts = [0] * 26
p = 0
for i in tasks:
counts[ord(i) - ord('A')] += 1
max_count = max(counts)
for count in counts:
if count == max_count:
p += 1
ans = (ma... | code_fim | hard | {
"lang": "python",
"repo": "lixuanhong/LeetCode",
"path": "/621. Task Scheduler.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cdimoush/mirage_rpi path: /screens/weather_screen.py
# commented out the clock
super(Screen, self).__init__(**kwargs)
self.setup()
def setup(self):
x, y, col_sp, row_sp, x_list, y_list = grid_function(self.cols, self.rows)
with self.canvas.before:
... | code_fim | hard | {
"lang": "python",
"repo": "cdimoush/mirage_rpi",
"path": "/screens/weather_screen.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.c.text = self.high_list[0].text + 'F / ' + self.low_list[0].text + 'F'
self.e.text = 'Chance of Precipitation: ' + self.pop_list[0].text + '%'
self.e1.text = 'Avg Wind Speed: ' + str(self.for_data['forecast']['simpleforecast']['forecastday'][0]['avewi... | code_fim | hard | {
"lang": "python",
"repo": "cdimoush/mirage_rpi",
"path": "/screens/weather_screen.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Current Temp
self.b.text = str(self.current_data['current_observation']['temp_f']) + 'F'
self.i0 = self.current_data['current_observation']['icon_url']
with open('images/w_icon.png', 'wb') as f:
f.write(requests.get... | code_fim | hard | {
"lang": "python",
"repo": "cdimoush/mirage_rpi",
"path": "/screens/weather_screen.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> prev = cur
cur = s
for arr in MyIter():
print(arr)
# 이터레이터: 사용하는 사람이 도중에 중단 가능
if sum(arr) > 50:
break<|fim_prefix|># repo: skku-overflow/python-2020-2 path: /week3/homework/answer1.py
class MyIter:
def __iter__(self):
<|fim_middle|> arr = [1]
... | code_fim | medium | {
"lang": "python",
"repo": "skku-overflow/python-2020-2",
"path": "/week3/homework/answer1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skku-overflow/python-2020-2 path: /week3/homework/answer1.py
class MyIter:
def __iter__(self):
<|fim_suffix|>
for arr in MyIter():
print(arr)
# 이터레이터: 사용하는 사람이 도중에 중단 가능
if sum(arr) > 50:
break<|fim_middle|> arr = [1]
yield arr
prev = 0
cur... | code_fim | hard | {
"lang": "python",
"repo": "skku-overflow/python-2020-2",
"path": "/week3/homework/answer1.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: m03/lfucache path: /tests/unit/fixtures/all.py
# -*- coding: utf-8 -*-
# vim: ft=python
<|fim_suffix|># Imports to others.
__all__ = []
FREQUENCY = {
1: deque([2, 3]),
2: deque([1]),
}
NOT_FOUND = -1<|fim_middle|>"""
Pytest fixtures for all lfulib tests.
"""
# Import Python Libs.
from ... | code_fim | medium | {
"lang": "python",
"repo": "m03/lfucache",
"path": "/tests/unit/fixtures/all.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>FREQUENCY = {
1: deque([2, 3]),
2: deque([1]),
}
NOT_FOUND = -1<|fim_prefix|># repo: m03/lfucache path: /tests/unit/fixtures/all.py
# -*- coding: utf-8 -*-
# vim: ft=python
<|fim_middle|>"""
Pytest fixtures for all lfulib tests.
"""
# Import Python Libs.
from __future__ import absolute_import
f... | code_fim | medium | {
"lang": "python",
"repo": "m03/lfucache",
"path": "/tests/unit/fixtures/all.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Saafke/java-pommerman path: /py/query.py
import math
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
data = pd.read_pickle("data.pkl")
# print(str(data))
# columns=["game_mode", "observability", "agents", "game_seed", "instance", "event_id", "event_data"... | code_fim | hard | {
"lang": "python",
"repo": "Saafke/java-pommerman",
"path": "/py/query.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def plot_event_count(event_name, mode=0):
plot_data = [[] for _ in range(len(agent_mapping))]
std_err_data = [[] for _ in range(len(agent_mapping))]
for agent in agents:
for o in obs_options:
events_per_game, std_err = event_count_query(event_name, game_mode=mode, observabi... | code_fim | hard | {
"lang": "python",
"repo": "Saafke/java-pommerman",
"path": "/py/query.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> team_kill_count = []
ngames = 0 # Number of games in which this agent dies
suicides = 0 # Number of games in which this agent commits suicide
events_per_sample = []
team_kills = 0
# Iterate through selected game data
for index, row in selection.iterrows():
if agent i... | code_fim | hard | {
"lang": "python",
"repo": "Saafke/java-pommerman",
"path": "/py/query.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wjy199708/DataBaseSpider path: /MongoDb2Csv/MongodbToCsv.py
# coding:utf-8
from MongoDb2Csv.MongoBaseDao import MongoBaseDao
import pandas as pd
class MongodbToCsv:
"""
将MongoDB中的数据按照一定的条件取出，删除部分后再存为Csv格式
"""
<|fim_suffix|> """
实例化一个操作mongo的对象
"""
se... | code_fim | medium | {
"lang": "python",
"repo": "wjy199708/DataBaseSpider",
"path": "/MongoDb2Csv/MongodbToCsv.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
实例化一个操作mongo的对象
"""
self.__mongo = MongoBaseDao('192.168.65.119', 27017, 'spider')
def read_delete_by_time_save_to_csv(self, col_name):
"""
根据时间读取表中所有数据
:param col_name: 在哪个collection中查找
:param datetime: date_time列格式化为datetime对象数组
... | code_fim | medium | {
"lang": "python",
"repo": "wjy199708/DataBaseSpider",
"path": "/MongoDb2Csv/MongodbToCsv.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def main():
a = MongodbToCsv()
a.read_delete_by_time_save_to_csv('美术设计师2d3d')
MongodbToCsv.main()<|fim_prefix|># repo: wjy199708/DataBaseSpider path: /MongoDb2Csv/MongodbToCsv.py
# coding:utf-8
from MongoDb2Csv.MongoBaseDao import MongoBaseDao
import pandas as pd
... | code_fim | hard | {
"lang": "python",
"repo": "wjy199708/DataBaseSpider",
"path": "/MongoDb2Csv/MongodbToCsv.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RoboBrainCode/Backend path: /rest_api/views.py
# Create your views here.
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from feed.models import JsonFeeds
from rest_api.serializer import FeedSerializer
from datetime imp... | code_fim | hard | {
"lang": "python",
"repo": "RoboBrainCode/Backend",
"path": "/rest_api/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #List all snippets, or create a new snippet.
if request.method == 'GET':
feeds = JsonFeeds.objects.all()[:25]
serializer = FeedSerializer(feeds, many=True)
return Response(serializer.data)
elif request.method == 'POST':
serializer = FeedSerializer(data=request.... | code_fim | medium | {
"lang": "python",
"repo": "RoboBrainCode/Backend",
"path": "/rest_api/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>## 运算 ##
sess = tf.InteractiveSession()
# 初始化所有变量！！！！！！！！！！！！！！！！！！！！！！很容易忘记
ops = tf.global_variables_initializer()
sess.run(ops)
print(sess.run(y))
sess.close()<|fim_prefix|># repo: zzbb1199/TensorFlowLearning path: /google_tensorflow_practise/chapter3/forward_neruo.py
"""
神经网络前向传播算法
"""
import tensor... | code_fim | medium | {
"lang": "python",
"repo": "zzbb1199/TensorFlowLearning",
"path": "/google_tensorflow_practise/chapter3/forward_neruo.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zzbb1199/TensorFlowLearning path: /google_tensorflow_practise/chapter3/forward_neruo.py
"""
神经网络前向传播算法
"""
import tensorflow as tf
# 定义w1,w2两个变量
w1 = tf.Variable(tf.random_normal([2,3],stddev=1,seed=1))
w2 = tf.Variable(tf.random_normal([3,1],stddev=1,seed=1))
<|fim_suffix|>## 运算 ##
sess = tf... | code_fim | medium | {
"lang": "python",
"repo": "zzbb1199/TensorFlowLearning",
"path": "/google_tensorflow_practise/chapter3/forward_neruo.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>lst = ["hey this is bhavana","i am in mumbai"]
getCapital = lambda sent: sent.upper()
newList = map(lambda sent: sent.upper(), lst)
print(list(newList))<|fim_prefix|># repo: OrrayBhavana/Python-Batch-7 path: /day_5_python_b7.py
# -*- coding: utf-8 -*-
"""Day 5 Python B7.ipynb
Automatically generated ... | code_fim | hard | {
"lang": "python",
"repo": "OrrayBhavana/Python-Batch-7",
"path": "/day_5_python_b7.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Malikeh97/ai-spring-97-4 path: /univariate_regression.py
import numpy as np
import matplotlib.pyplot as plt
COLNUM = (0, 2, 13)
# def univariate_regression():
def read_file():
with open('housing.data') as f:
content = f.readlines()
content = [x.strip().split() for x in content... | code_fim | hard | {
"lang": "python",
"repo": "Malikeh97/ai-spring-97-4",
"path": "/univariate_regression.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> plt.figure(2)
plt.title('Tax')
plt.subplot(211)
plt.axis([0, x2.max(), 0, y.max()])
x_arr = np.array(x2)[0]
y_arr = np.array(y)[0]
plt.plot(x_arr, y_arr, 'bo', x_arr, m2 * x_arr + b2, 'r')
plt.subplot(212)
plt.axis([0, num_of_iter, 0, errors2[0]])
plt.xlabel('iter'... | code_fim | hard | {
"lang": "python",
"repo": "Malikeh97/ai-spring-97-4",
"path": "/univariate_regression.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Satyam-Bhalla/Text_Classification_Multiple_Methods path: /Binary Text Classification Movie Reviews/Binary Text Classification.py
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np
import re
import nltk
from sklearn.datasets import load_files
# nltk.download('stopwords') ... | code_fim | hard | {
"lang": "python",
"repo": "Satyam-Bhalla/Text_Classification_Multiple_Methods",
"path": "/Binary Text Classification Movie Reviews/Binary Text Classification.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> document = [stemmer.lemmatize(word) for word in document]
document = ' '.join(document)
documents.append(document)
# In[6]:
vectorizer = CountVectorizer(max_features=1500, min_df=5, max_df=0.7, stop_words=stopwords.words('english'))
X = vectorizer.fit_transform(documents).toarray()
tfid... | code_fim | hard | {
"lang": "python",
"repo": "Satyam-Bhalla/Text_Classification_Multiple_Methods",
"path": "/Binary Text Classification Movie Reviews/Binary Text Classification.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gokou00/python_programming_challenges path: /testing/per.py
import itertools
test = [5, 2, 1, 9, 50, 56]
test2 = list(itertools.permutations(test))
#print(test2)
<|fim_suffix|>for x in test2:
l = list(x)
for j in l:
strBuilder += str(j)
strNum = int(strBuilder)
strBuil... | code_fim | easy | {
"lang": "python",
"repo": "gokou00/python_programming_challenges",
"path": "/testing/per.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>strBuilder = ""
temp = 0
strNum = 0
for x in test2:
l = list(x)
for j in l:
strBuilder += str(j)
strNum = int(strBuilder)
strBuilder = ""
if strNum > temp:
temp = strNum
print(temp)<|fim_prefix|># repo: gokou00/python_programming_challenges path: /testing/per.py
imp... | code_fim | easy | {
"lang": "python",
"repo": "gokou00/python_programming_challenges",
"path": "/testing/per.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
option=input(">>")
try:
if option=='1':
id=input("ID= ")
if id.isdigit()==False:
raise ClientException("ID must be an integer")
id=int(id)
pri... | code_fim | hard | {
"lang": "python",
"repo": "dary82/Projects",
"path": "/BookRental/ui.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dary82/Projects path: /BookRental/ui.py
from Book import *
from Client import *
from Rental import *
from BookRepo import *
from ClientRepo import *
from RentalRepo import *
from Service import *
from UndoController import *
import datetime
class UI:
def __init__(self,BookRepo,ClientRepo,Rent... | code_fim | hard | {
"lang": "python",
"repo": "dary82/Projects",
"path": "/BookRental/ui.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def rent_book_ui(self):
id = input("ID rental: ")
idc=input("ID Client: ")
idb=input("ID book: ")
day=input("Day the rental took place: ")
month=input("Month the rental took place(number): ")
year=input("Year the rental took place: ")
print(self... | code_fim | hard | {
"lang": "python",
"repo": "dary82/Projects",
"path": "/BookRental/ui.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xueweipeng/server_framework path: /main/api/upgrade_interface.py
from flask import jsonify
from flask import Blueprint
from flask import request
upgrade = Blueprint("upgrade", __name__)
<|fim_suffix|> version = request.args.get('version')
data = {
"data": {
"version"... | code_fim | medium | {
"lang": "python",
"repo": "xueweipeng/server_framework",
"path": "/main/api/upgrade_interface.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@upgrade.route('/check', methods=['GET'])
def check_upgrade():
version = request.args.get('version')
data = {
"data": {
"version": 1111,
"url": "aaaaaa"
},
"code": 200,
"message": "success"
}
return jsonify(data)<|fim_prefix|># repo:... | code_fim | easy | {
"lang": "python",
"repo": "xueweipeng/server_framework",
"path": "/main/api/upgrade_interface.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, alphabet, m, b):
""" multiply mx + b """
# We're cheating here by not actually having the decryption method use the "inverse" argument
transformed = alphabet.affinal(m, b)
super(AffineCipher, self).__init__(alphabet, transformed)<|fim_prefix|># repo: ... | code_fim | medium | {
"lang": "python",
"repo": "thunder8olt/hotel-juliet",
"path": "/hj/ciphers/substitution/monoalphabetic/affine.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thunder8olt/hotel-juliet path: /hj/ciphers/substitution/monoalphabetic/affine.py
#!/usr/bin/python
# -*- coding: utf-8 -*-
<|fim_suffix|> def __init__(self, alphabet, m, b):
""" multiply mx + b """
# We're cheating here by not actually having the decryption method use the "inv... | code_fim | medium | {
"lang": "python",
"repo": "thunder8olt/hotel-juliet",
"path": "/hj/ciphers/substitution/monoalphabetic/affine.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: volauvent/legendary path: /server/dbUtility.py
import os
import sys
from PIL import Image
from shutil import copyfile
import imagehash
class utility:
labels = ['None',
'amusement',
'awe',
'contentment',
'anger',
'disgus... | code_fim | hard | {
"lang": "python",
"repo": "volauvent/legendary",
"path": "/server/dbUtility.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> pathSet=set()
for root, dirs, files in os.walk(self.filePath+"/images"):
path = root.split(os.sep)
for file in files:
if file != ".DS_Store":
pathSet.add(root+os.sep+file)
return pathSet
def getAllModelList(self):
... | code_fim | hard | {
"lang": "python",
"repo": "volauvent/legendary",
"path": "/server/dbUtility.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: diana-hep/rejig path: /reinterpreted-python/tests/test_syntax.py
t')),)))
check('''[3]''', Suite((Call('return', Call('list', Const(3))),)))
check('''[3,]''', Suite((Call('return', Call('list', Const(3))),)))
check('''[3, 4]''', Suite((Call('return', Call('list', Const(3), Const(4))),)))
check(''... | code_fim | hard | {
"lang": "python",
"repo": "diana-hep/rejig",
"path": "/reinterpreted-python/tests/test_syntax.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>check('''a[1]''', Suite((Call('return', Call('[.]', Name('a'), Const(1))),)))
check('''a["hey"]''', Suite((Call('return', Call('[.]', Name('a'), Const('hey'))),)))
check('''a[1:2]''', Suite((Call('return', Call('[.]', Name('a'), Call('slice', Const(1), Const(2), Const(None)))),)))
check('''a[:]''', Suite(... | code_fim | hard | {
"lang": "python",
"repo": "diana-hep/rejig",
"path": "/reinterpreted-python/tests/test_syntax.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: diana-hep/rejig path: /reinterpreted-python/tests/test_syntax.py
', Suite((Call('return', Call('==', Call('tuple', Name('x'), Const(None)), Name('y'))),)))
check('''(x, None) >= y''', Suite((Call('return', Call('>=', Call('tuple', Name('x'), Const(None)), Name('y'))),)))
check('''(x, None) <= y''... | code_fim | hard | {
"lang": "python",
"repo": "diana-hep/rejig",
"path": "/reinterpreted-python/tests/test_syntax.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yoktys/bbs_django path: /apps/forum/models.py
# -*- coding: utf-8 -*-
from django.db import models
from django.contrib.auth.models import User
from django.db.models.signals import post_save
class Forum(models.Model):
title = models.CharField('分かりにくい場合はここに説明を入れる', max_length=60)
def __... | code_fim | hard | {
"lang": "python",
"repo": "yoktys/bbs_django",
"path": "/apps/forum/models.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __unicode__(self):
return u"%s - %s - %s" % (self.creator, self.thread, self.title)
def short(self):
"""
日付
"""
return u"%s - %s\n%s" % (self.creator, self.title, self.created.strftime("%b %d, %I:%M %p"))
short.allow_tags = True
def profile_dat... | code_fim | hard | {
"lang": "python",
"repo": "yoktys/bbs_django",
"path": "/apps/forum/models.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>nums[i]] = 1
else:
return nums[i]<|fim_prefix|># repo: GagoilKim/Leetcode path: /findDuplicate.py
class Solution:
def findDuplicate(self, nums: List[int]) -> int:
dic = {}
for i in range(len(nums)):
<|fim_middle|> if nums[i] not in dic.keys():
... | code_fim | hard | {
"lang": "python",
"repo": "GagoilKim/Leetcode",
"path": "/findDuplicate.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GagoilKim/Leetcode path: /findDuplicate.py
class Solution:
def findDuplicate(self, nums: List[int]) -> int:
dic = {}
for i in range(len(nums)):
<|fim_suffix|>nums[i]] = 1
else:
return nums[i]<|fim_middle|> if nums[i] not in dic.keys():
... | code_fim | hard | {
"lang": "python",
"repo": "GagoilKim/Leetcode",
"path": "/findDuplicate.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class StatisticAPIView(ListAPIView):
"""
API View for get statistic.
"""
queryset = NumberCounter.objects.all()
serializer_class = NumberCounterSerializer<|fim_prefix|># repo: arseniysychev/numbers_api path: /applications/number_counters/views.py
from rest_framework.generics import Li... | code_fim | medium | {
"lang": "python",
"repo": "arseniysychev/numbers_api",
"path": "/applications/number_counters/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
API View for get statistic.
"""
queryset = NumberCounter.objects.all()
serializer_class = NumberCounterSerializer<|fim_prefix|># repo: arseniysychev/numbers_api path: /applications/number_counters/views.py
from rest_framework.generics import ListAPIView, CreateAPIView
from .model... | code_fim | medium | {
"lang": "python",
"repo": "arseniysychev/numbers_api",
"path": "/applications/number_counters/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arseniysychev/numbers_api path: /applications/number_counters/views.py
from rest_framework.generics import ListAPIView, CreateAPIView
<|fim_suffix|>class UnpairedAPIView(CreateAPIView):
"""
API View for send data list via POST method.
"""
serializer_class = UnpairedSerializer
c... | code_fim | medium | {
"lang": "python",
"repo": "arseniysychev/numbers_api",
"path": "/applications/number_counters/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Xoozi/tchomework path: /ch00/section6/37.py
#用参数做图法画出f(x) anti_f(x) 和 y = x
#f(x) = arcsin(x), x = t, y = arcsin(t)
#
#anti_f(x) = sin(x), x = t, y = sin(t)
def fx(t):
return t
def fy(t):
return arcsin(t)
def anti_fx(t):
return t
def anti_fy(t):
return sin(t)
def cx(t):
<|fim_... | code_fim | medium | {
"lang": "python",
"repo": "Xoozi/tchomework",
"path": "/ch00/section6/37.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>x1 = fx(t)
y1 = fy(t)
x2 = anti_fx(t)
y2 = anti_fy(t)
x3 = cx(t)
y3 = cy(t)
xlabel('x')
ylabel('y')
plot(x1, y1, 'r-', x2, y2, 'g-', x3, y3, 'b-')<|fim_prefix|># repo: Xoozi/tchomework path: /ch00/section6/37.py
#用参数做图法画出f(x) anti_f(x) 和 y = x
#f(x) = arcsin(x), x = t, y = arcsin(t)
#
#anti_f(x) = s... | code_fim | medium | {
"lang": "python",
"repo": "Xoozi/tchomework",
"path": "/ch00/section6/37.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# servira a regler l'horloge du jeu
horloge = pygame.time.Clock()
# la boucle infinie dans laquelle on reste coince
i=1;
continuer=1
upstairsperso = 0
upstairsblob = 0
vartour = -1
dirbone = -1
while continuer:
horloge.tick(30)
i= i+1;
#print (i)
# on recupere l'etat... | code_fim | hard | {
"lang": "python",
"repo": "mbardou/Gameproj",
"path": "/Jeux Vidéo2/dd.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mbardou/Gameproj path: /Jeux Vidéo2/dd.py
import os
import pygame
#redblobgames
pygame.init()
#Création de la fenetre
largeur = 1024
hauteur = 768
fenetre=pygame.display.set_mode((largeur,hauteur))
# lecture de l'image du perso
#Dico des images--------------------------------------... | code_fim | hard | {
"lang": "python",
"repo": "mbardou/Gameproj",
"path": "/Jeux Vidéo2/dd.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: umluizlima/flask-pwa path: /app/controller/pwa.py
from flask import (
Blueprint, make_response, send_from_directory
)
bp = Blueprint('pwa', __name__, url_prefix='')
<|fim_suffix|>
@bp.route('/sw.js')
def service_worker():
response = make_response(send_from_directory('static', 'sw.js'))... | code_fim | medium | {
"lang": "python",
"repo": "umluizlima/flask-pwa",
"path": "/app/controller/pwa.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@bp.route('/sw.js')
def service_worker():
response = make_response(send_from_directory('static', 'sw.js'))
response.headers['Cache-Control'] = 'no-cache'
return response<|fim_prefix|># repo: umluizlima/flask-pwa path: /app/controller/pwa.py
from flask import (
Blueprint, make_response, se... | code_fim | medium | {
"lang": "python",
"repo": "umluizlima/flask-pwa",
"path": "/app/controller/pwa.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@bp.route('/sw.js')
def service_worker():
response = make_response(send_from_directory('static', 'sw.js'))
response.headers['Cache-Control'] = 'no-cache'
return response<|fim_prefix|># repo: umluizlima/flask-pwa path: /app/controller/pwa.py
from flask import (
Blueprint, make_response, s... | code_fim | medium | {
"lang": "python",
"repo": "umluizlima/flask-pwa",
"path": "/app/controller/pwa.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return name
def get_profile_url(game_id: str, realm: str, user_id: str) -> str:
if game_id not in USER_PROFILE_URLS:
logging.error('wgc_helper/get_profile_url: unknown game_id %s' % game_id)
return None
game_urls = USER_PROFILE_URLS[game_id]
if realm not in game_urls:
... | code_fim | hard | {
"lang": "python",
"repo": "MasterModeley/galaxy-integration-wargaming",
"path": "/wgc/wgc_helper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> kerneldll = ctypes.windll.kernel32
mutex_handle = kerneldll.OpenMutexW(MUTEX_ALL_ACCESS, 0, str(mutex_name))
if mutex_handle != 0:
kerneldll.CloseHandle(mutex_handle)
return True
return False
### FS
def scantree(path):
"""Recursively yield DirEntry objects for given ... | code_fim | hard | {
"lang": "python",
"repo": "MasterModeley/galaxy-integration-wargaming",
"path": "/wgc/wgc_helper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MasterModeley/galaxy-integration-wargaming path: /wgc/wgc_helper.py
# (c) 2019-2020 Mikhail Paulyshka
# SPDX-License-Identifier: MIT
import ctypes
import logging
import os
import platform
from .wgc_constants import USER_PROFILE_URLS
### Platform
def get_platform() -> str:
system = platform... | code_fim | hard | {
"lang": "python",
"repo": "MasterModeley/galaxy-integration-wargaming",
"path": "/wgc/wgc_helper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: moalfamaria/Google_Atelierul_Digital path: /pythonProject1/Dog.py
from Animal import Animal
class Dog(Animal):
<|fim_suffix|># self = instanta curenta
# instanta = un obiect de acel tip
# obiect intr o variabila<|fim_middle|> @staticmethod
def speak():
print("woof")
| code_fim | easy | {
"lang": "python",
"repo": "moalfamaria/Google_Atelierul_Digital",
"path": "/pythonProject1/Dog.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># self = instanta curenta
# instanta = un obiect de acel tip
# obiect intr o variabila<|fim_prefix|># repo: moalfamaria/Google_Atelierul_Digital path: /pythonProject1/Dog.py
from Animal import Animal
class Dog(Animal):
<|fim_middle|> @staticmethod
def speak():
print("woof")
| code_fim | easy | {
"lang": "python",
"repo": "moalfamaria/Google_Atelierul_Digital",
"path": "/pythonProject1/Dog.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 이전까지의 가장 높은 확률과 현재 여자와 성공할 확률이 같다면
if woman_prob == probability:
# 성공할 확률이 가장 높은 여자들을 저장하는 리스트 변수에 현재 여자의 이름을 넣어줍니다.
selected_woman.append(woman_name)
# 이전까지의 가장 높은 확률보다 현재 여자와 성공할 확률이 크다면
elif woman_prob > probability:
# 성공할 확률이 가장 높은 여자들을 저장하는 리스트 변수들을 비워줍니다.
... | code_fim | hard | {
"lang": "python",
"repo": "bright-night-sky/algorithm_study",
"path": "/백준/Bronze/Bronze 2/1296번 ; 데이트.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bright-night-sky/algorithm_study path: /백준/Bronze/Bronze 2/1296번 ; 데이트.py
# https://www.acmicpc.net/problem/1296
# readline을 사용하기 위해 import합니다.
from sys import stdin
# 첫째 줄에 오민식의 영어 이름을 입력합니다.
# 맨 끝의 \n은 떼어줍니다.
ohminsik = stdin.readline().rstrip()
# 둘째 줄에는 좋아하는 여자의 수 N을 입력합니다.
# 50보다 작거나 같은 자연... | code_fim | hard | {
"lang": "python",
"repo": "bright-night-sky/algorithm_study",
"path": "/백준/Bronze/Bronze 2/1296번 ; 데이트.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lzene/dangdangpc path: /dangdangpc/pipelines.py
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import MySQLdb
import logging
from scrapy import log
imp... | code_fim | hard | {
"lang": "python",
"repo": "lzene/dangdangpc",
"path": "/dangdangpc/pipelines.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = item['title'][0]
price = item['price'][0]
comment_num = item['comment_num'][0]
url = item['link']
img_url = item['img_url'][0]
print u'商品名称:'+name
print u'商品评论:'+comment_num
print u'商品价格:'+price
print u'商品链接:'+url
prin... | code_fim | hard | {
"lang": "python",
"repo": "lzene/dangdangpc",
"path": "/dangdangpc/pipelines.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheDiegoFrade/python_crash_course_2nd_ed path: /python_poll.py
responses = {}
# Set a flag to indicate that polling is active.
polling_active = True
while polling_active:
# Prompt for the person's name and response.
name = input("\nWhat is your name? ")
response = input("Which are your... | code_fim | hard | {
"lang": "python",
"repo": "TheDiegoFrade/python_crash_course_2nd_ed",
"path": "/python_poll.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(f'Poll Dictionary: {responses}')
print("\n--- Poll Results ---")
for item in responses.items():
print(item)<|fim_prefix|># repo: TheDiegoFrade/python_crash_course_2nd_ed path: /python_poll.py
responses = {}
# Set a flag to indicate that polling is active.
polling_active = True
while polling_act... | code_fim | hard | {
"lang": "python",
"repo": "TheDiegoFrade/python_crash_course_2nd_ed",
"path": "/python_poll.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
generate_explanations(images =
[
#'../../../data/wildcam_subset_denoised/test/raccoon/593a4e8a-23d2-11e8-a6a3-ec086b02610b.jpg',
#'../../../data/wildcam_subset_denoised/test/raccoon/5879d289-23d2-11e8-a6a3-e... | code_fim | hard | {
"lang": "python",
"repo": "fastforwardlabs/causal-experiments",
"path": "/experiments/invariant-risk-minimization/wildcam/model_explanation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fastforwardlabs/causal-experiments path: /experiments/invariant-risk-minimization/wildcam/model_explanation.py
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
import os, json
import torch
import torch.nn as nn
import torch.nn.functiona... | code_fim | hard | {
"lang": "python",
"repo": "fastforwardlabs/causal-experiments",
"path": "/experiments/invariant-risk-minimization/wildcam/model_explanation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OweN98/Crawler path: /DoubanNowplayingWordCloud/NowplayingMovieCrawler.py
'''
NowplayingMovieCrawler.py
功能：获取正在上映电影的id和名字
'''
import requests, random
from lxml import etree
from settings import USER_AGENTS, NOW_PLAYING_URL
# 从settings中获取正在上映电影的url
def UrlManager():
url = NOW_PLAYING_... | code_fim | hard | {
"lang": "python",
"repo": "OweN98/Crawler",
"path": "/DoubanNowplayingWordCloud/NowplayingMovieCrawler.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def Htmlparser(html):
movie_list = []
try:
html = etree.HTML(html)
# 构造XPath解析对象并对HTML文本进行自动修正
except Exception as e:
raise(e)
print('can\'t get nowplaying page')
print(e)
exit(0)
# 分析网页的HTML源代码结构，编写XPath表达式，返回符合结果的内容合并为的数组
Nowplayin... | code_fim | hard | {
"lang": "python",
"repo": "OweN98/Crawler",
"path": "/DoubanNowplayingWordCloud/NowplayingMovieCrawler.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
captcha = [int(x) for x in read_data()]
captcha.append(captcha[0])
print(sum([captcha[i] for i in range(1, len(captcha)) if captcha[i-1] == captcha[i]]))
captcha = [int(x) for x in read_data()]
total = 0
for i in range(len(captcha)):
total += ro... | code_fim | medium | {
"lang": "python",
"repo": "xpqz/aoc-17",
"path": "/day1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xpqz/aoc-17 path: /day1.py
def read_data(filename="data/input1.data"):
with open(filename) as f:
return f.read()
<|fim_suffix|> total = 0
for i in range(len(captcha)):
total += rot(captcha, i)
print(total)<|fim_middle|>
def rot(l, i):
offset = len(l) // 2
... | code_fim | hard | {
"lang": "python",
"repo": "xpqz/aoc-17",
"path": "/day1.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> captcha = [int(x) for x in read_data()]
total = 0
for i in range(len(captcha)):
total += rot(captcha, i)
print(total)<|fim_prefix|># repo: xpqz/aoc-17 path: /day1.py
def read_data(filename="data/input1.data"):
with open(filename) as f:
return f.read()
def rot(l, i... | code_fim | hard | {
"lang": "python",
"repo": "xpqz/aoc-17",
"path": "/day1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Compute ion and electron velocities
v_ex, v_ey, v_ez, v_ix, v_iy, v_iz = _calc_vei(m_i, wc_i, w_final,
e_x, e_y, e_z)
# Ratio of parallel and perpendicular to B speed
vepar_perp = v_ez * np.conj(v_ez)
vepar_perp /= (v_ex * np.conj(v... | code_fim | hard | {
"lang": "python",
"repo": "zhang-chi-IGGCAS/irfu-python",
"path": "/pyrfu/dispersion/disp_surf_calc.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> dn_e = dn_e_n * wp_e ** 2
k_dot_e = e_x * kc_x_mat + e_z * kc_z_mat
k_dot_e = np.sqrt(k_dot_e * np.conj(k_dot_e))
# Build output dict
extra_param = {"Degree of electromagnetism": np.log10(b_tot / e_tot),
"Degree of longitudinality": np.abs(e_par) / e_tot,
... | code_fim | hard | {
"lang": "python",
"repo": "zhang-chi-IGGCAS/irfu-python",
"path": "/pyrfu/dispersion/disp_surf_calc.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhang-chi-IGGCAS/irfu-python path: /pyrfu/dispersion/disp_surf_calc.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# MIT License
#
# Copyright (c) 2020 - 2021 Louis Richard
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated docum... | code_fim | hard | {
"lang": "python",
"repo": "zhang-chi-IGGCAS/irfu-python",
"path": "/pyrfu/dispersion/disp_surf_calc.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__.extend(optional_import("hcrystalball.wrappers._prophet", "ProphetWrapper", globals()))
__all__.extend(
optional_import("hcrystalball.wrappers._statsmodels", "ExponentialSmoothingWrapper", globals())
)
__all__.extend(optional_import("hcrystalball.wrappers._statsmodels", "SimpleSmoothingWrapper"... | code_fim | medium | {
"lang": "python",
"repo": "pavelkrizek/hcrystalball",
"path": "/src/hcrystalball/wrappers/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pavelkrizek/hcrystalball path: /src/hcrystalball/wrappers/__init__.py
from ._sklearn import get_sklearn_wrapper as get_sklearn_wrapper
from sklearn import set_config
from hcrystalball.utils import optional_import
set_config(print_changed_only=False)
<|fim_suffix|>__all__.extend(optional_import(... | code_fim | medium | {
"lang": "python",
"repo": "pavelkrizek/hcrystalball",
"path": "/src/hcrystalball/wrappers/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: philedius/Advent-of-Coding path: /04/advent04.py
import hashlib
is_valid = False
number = 0
while is_valid<|fim_suffix|> m.hexdigest()
print number
is_valid = True
number += 1<|fim_middle|> == False:
m = hashlib.md5()
m.update('iwrupvqb')
m.update(str(number))
if m.hexdigest()[0:6] == ... | code_fim | medium | {
"lang": "python",
"repo": "philedius/Advent-of-Coding",
"path": "/04/advent04.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> m.hexdigest()
print number
is_valid = True
number += 1<|fim_prefix|># repo: philedius/Advent-of-Coding path: /04/advent04.py
import hashlib
is_valid = False
number = 0
while is_valid == False:
m = hashlib.md5()
m.update('iwrupvqb')
m.upda<|fim_middle|>te(str(number))
if m.hexdigest()[0:6] == ... | code_fim | easy | {
"lang": "python",
"repo": "philedius/Advent-of-Coding",
"path": "/04/advent04.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def readBinaryMust(self, timeoutloop = 10):
run = True
loop = 1
while(run):
try:
temp = self.port.read()
except:
self.logger.error("readBinaryMust failed")
return "ERROR"
else:
if len(temp) > 0:
data = ord(temp)
self.logger.debug("read hex data =" +str(data))
... | code_fim | hard | {
"lang": "python",
"repo": "polarisphotonics/pp_python",
"path": "/py3lib/COMPort.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> return find_com
def writeBinary(self, data):
#print("in")
data_list = list([data])
#data_list.append('\n')
self.port.write(data_list)
self.logger.debug("write hex data="+str(data_list))
def writeList(self, datalist):
self.port.write(datalist)
def readBinary(self):
try:
temp = se... | code_fim | hard | {
"lang": "python",
"repo": "polarisphotonics/pp_python",
"path": "/py3lib/COMPort.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: polarisphotonics/pp_python path: /py3lib/COMPort.py
import serial
import serial.tools.list_ports
import platform
import logging
import py3lib.QuLogger
import numpy as np
ft232_name_in = "0403:6001"
arduino_name_in = "2341:0043"
#ft232_name_in_mac = "0403:6001"
#ft232_name_in_win = "VID_0403+PID_... | code_fim | hard | {
"lang": "python",
"repo": "polarisphotonics/pp_python",
"path": "/py3lib/COMPort.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> diff = (c - b) * dic_a.get(b, 0)
if b in dic_a.keys():
dic_a[c] = dic_a.get(c, 0) + dic_a.get(b, 0)
dic_a[b] = 0
answer += diff
else:
pass
print(answer)<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02630/s363208865.py
n = int(input())
li_... | code_fim | medium | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02630/s363208865.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Aasthaengg/IBMdataset path: /Python_codes/p02630/s363208865.py
n = int(input())
li_a = list(map(int, input().split()))
dic_a = {}
for a in li_a:
dic_a[a] = dic_a.get(a, 0) + 1
<|fim_suffix|>for i in range(q):
li_bc.append(tuple(map(int, input().split())))
answer = sum(li_a)
for l in l... | code_fim | easy | {
"lang": "python",
"repo": "Aasthaengg/IBMdataset",
"path": "/Python_codes/p02630/s363208865.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FirmianaPlatform/SourceCode path: /Firmiana Frontend/experiments/admin.py
from django.contrib import admin
from django.contrib.auth.models import *
from experiments.models import *
admin.site.register(Experimenter)
admin.site.register(All_Company)
admin.site.register(All_Laboratory)
'''
class U... | code_fim | hard | {
"lang": "python",
"repo": "FirmianaPlatform/SourceCode",
"path": "/Firmiana Frontend/experiments/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Reagent Type Model
admin.site.register(Antigen_species)
admin.site.register(Antigen_clonal_type)
admin.site.register(Antigen_modification)
class AntigenAdmin(admin.ModelAdmin):
list_display = ('gene_id', 'host_species', 'clonal_type', 'modification')
#raw_id_fields = ('gene_id', 'host_species', '... | code_fim | hard | {
"lang": "python",
"repo": "FirmianaPlatform/SourceCode",
"path": "/Firmiana Frontend/experiments/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mindspore-ai/models path: /research/cv/ISyNet/eval.py
# Copyright 2022 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apach... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/models",
"path": "/research/cv/ISyNet/eval.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # define loss, model
if config.dataset == "imagenet2012":
if not config.use_label_smooth:
config.label_smooth_factor = 0.0
loss = CrossEntropySmooth(sparse=True, reduction='mean',
smooth_factor=config.label_smooth_factor, num_classes=co... | code_fim | hard | {
"lang": "python",
"repo": "mindspore-ai/models",
"path": "/research/cv/ISyNet/eval.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.axes = self.get_axes()
self.axes.x_axis.set_color(BLUE)
self.axes.y_axis.set_color(GREEN)
self.axes.z_axis.set_color(RED)
# self.set_axes_labels()
self.axes.shift(self.axes_center_point)
self.add(self.axes)
def init_paraboloid(self):
paraboloid = self.paraboloid = ParaboloidPolar(**... | code_fim | hard | {
"lang": "python",
"repo": "Abhigyan-Mishra/Quantum-Animation",
"path": "/my_project/evolution_forces.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Abhigyan-Mishra/Quantum-Animation path: /my_project/evolution_forces.py
from manimlib.imports import *
"""
TODO:
[ ] fix arrow head size
auto scale according to size?
have a default size, but, if the arrow size is too short, then shrink the head
[ ] slide the point according to the gradient
... | code_fim | hard | {
"lang": "python",
"repo": "Abhigyan-Mishra/Quantum-Animation",
"path": "/my_project/evolution_forces.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Akash049/cyclone-app-container path: /forecast/serializers.py
from rest_framework import serializers
from .models import *
<|fim_suffix|> model = Forecast
fields = ('place_name','cyclone_id','cyclone_name','image_link','time_of_last_forecast','created_at')<|fim_middle|>class Forec... | code_fim | medium | {
"lang": "python",
"repo": "Akash049/cyclone-app-container",
"path": "/forecast/serializers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta():
model = Forecast
fields = ('place_name','cyclone_id','cyclone_name','image_link','time_of_last_forecast','created_at')<|fim_prefix|># repo: Akash049/cyclone-app-container path: /forecast/serializers.py
from rest_framework import serializers
from .models import *
<|fim_m... | code_fim | easy | {
"lang": "python",
"repo": "Akash049/cyclone-app-container",
"path": "/forecast/serializers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>MongoDB allows us to store lists of items natively, so rather than having a link table,
we can just store a list of tags in each post.
可以使用to_json或者to_mongo来显示document的内容：
json.loads(post1.to_json())
{u'_cls': u'Post.TextPost',
u'_id': {u'$oid': u'57ac28a0541ccf99ac3eb44a'},
u'author': {u'$oid': u'57ac... | code_fim | hard | {
"lang": "python",
"repo": "largeriver/python-demos",
"path": "/tumblelog/models2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: largeriver/python-demos path: /tumblelog/models2.py
# -*- coding: utf-8 -*-
'''
本文件参照 https://mongoengine-odm.readthedocs.io/tutorial.htm来编写
'''
from mongoengine import Document, StringField, ReferenceField, ListField, EmbeddedDocument, EmbeddedDocumentField, \
CASCADE
<|fim_suffix|>'''
An... | code_fim | medium | {
"lang": "python",
"repo": "largeriver/python-demos",
"path": "/tumblelog/models2.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> title = StringField(max_length=120, required=True)
# reverse_delete_rule: To delete all the posts if a user is deleted set the rule:
author = ReferenceField(User, reverse_delete_rule=CASCADE)
tags = ListField(StringField(max_length=30))
comments = ListField(EmbeddedDocumentField(Comme... | code_fim | hard | {
"lang": "python",
"repo": "largeriver/python-demos",
"path": "/tumblelog/models2.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 订单数量
res = orders['customer'].value_counts().to_dict()
content['orders_by_companys'] = [{'name': k, 'value': v} for k, v in res.items()]
content['total_order'] = sum(res.values())
# 状态
states = list(orders['state'].value_counts().to_dict().keys())
content['orders_by_states']... | code_fim | hard | {
"lang": "python",
"repo": "liangxuCHEN/bi_sys",
"path": "/anthony_bi/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 按时间分类
new_order = orders.set_index('created')
orders['updated'] = orders['updated'].apply(lambda x: x.strftime('%Y-%m-%d %H:%M:%S'))
orders['created'] = orders['created'].apply(lambda x: x.strftime('%Y-%m-%d %H:%M:%S'))
# 表格数据
content = {
'table_data': orders.to_dict(ori... | code_fim | hard | {
"lang": "python",
"repo": "liangxuCHEN/bi_sys",
"path": "/anthony_bi/views.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liangxuCHEN/bi_sys path: /anthony_bi/views.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect, StreamingHttpResponse
from anthony_bi.sql import Order_info, NewTable
... | code_fim | hard | {
"lang": "python",
"repo": "liangxuCHEN/bi_sys",
"path": "/anthony_bi/views.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> nodes_content = self.export_nodes().to_csv(sep=delimiter, index=False)
edges_content = self.export_edges().to_csv(sep=delimiter, index=False)
nodes_file_name = 'nodes.' + extention
edges_file_name = 'edges.' + extention
def add_to_tar(tar, filename, filecontent):
... | code_fim | hard | {
"lang": "python",
"repo": "justaddcoffee/kgx",
"path": "/kgx/pandas_transformer.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
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