text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: TheZenMind07/Algo-Trader path: /app/algos/kc_pattern_scanner.py
time
import numpy as np
import sys
cwd = os.chdir("/home/rajkp/code/Projects/Django-Dashboard/boilerplate-code-django-dashboard/app/algos")
#generate trading session
access_token = open("access_token.txt",'r').read()
key... | code_fim | hard | {
"lang": "python",
"repo": "TheZenMind07/Algo-Trader",
"path": "/app/algos/kc_pattern_scanner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if candle_type(ohlc_df) == "maru_bozu_green":
pattern = "maru_bozu_bullish"
if candle_type(ohlc_df) == "maru_bozu_red":
pattern = "maru_bozu_bearish"
if trend(ohlc_df.iloc[:-1,:],7) == "uptrend" and candle_type(ohlc_df) == "hammer":
pattern = "hangi... | code_fim | hard | {
"lang": "python",
"repo": "TheZenMind07/Algo-Trader",
"path": "/app/algos/kc_pattern_scanner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies = [
('COVID_19_Tracker', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='global',
name='date',
field=models.DateTimeField(default=django.utils.timezone.now),
),
... | code_fim | medium | {
"lang": "python",
"repo": "Subhrans/COVID-19_Tracker",
"path": "/COVID_19_Tracker/migrations/0002_global_date.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Migration(migrations.Migration):
dependencies = [
('COVID_19_Tracker', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='global',
name='date',
field=models.DateTimeField(default=django.utils.timezone.now),
),
... | code_fim | medium | {
"lang": "python",
"repo": "Subhrans/COVID-19_Tracker",
"path": "/COVID_19_Tracker/migrations/0002_global_date.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Subhrans/COVID-19_Tracker path: /COVID_19_Tracker/migrations/0002_global_date.py
# Generated by Django 3.0.1 on 2021-01-19 16:59
import django.utils.timezone
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.AddField(
model_name='global',
... | code_fim | medium | {
"lang": "python",
"repo": "Subhrans/COVID-19_Tracker",
"path": "/COVID_19_Tracker/migrations/0002_global_date.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> report_missed_translations = dictionary_report_name_getter(lang_id)
for report in report_missed_translations:
update_report_local_name(report['report_id'], report['lang_id'], report['dictionary_answer'])
def report_parameters_autotranslate(lang_id):
report_missed_translations = dictio... | code_fim | medium | {
"lang": "python",
"repo": "arkadyorg/xmlptranslator",
"path": "/dictionary.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arkadyorg/xmlptranslator path: /dictionary.py
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from dblogic import dictionary_writer, dictionary_report_naming_miner, dictionary_report_parameters_miner, dictionary_report_name_getter, update_report_local_name, dictionary_report_parameters_getter, up... | code_fim | medium | {
"lang": "python",
"repo": "arkadyorg/xmlptranslator",
"path": "/dictionary.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tuhinsaud4614/tkinter_app_with_mysql path: /src/main.py
# ! Author tuhinsaud@tuhinsaud
# version: 1
import os
from io import BytesIO
from PIL import ImageTk, Image as PILImage
import tkinter as tk
from tkinter import *
from tkinter import ttk, filedialog, messagebox
import database_helper as db... | code_fim | hard | {
"lang": "python",
"repo": "tuhinsaud4614/tkinter_app_with_mysql",
"path": "/src/main.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> global product_name_txt
global product_price_txt
global category_variable
product_name_txt.delete(0, "end")
product_price_txt.delete(0, "end")
category_variable.set(category[0])
def saveData():
global_product_data["name"] = str(product_name_txt.get())
if len(global_produc... | code_fim | hard | {
"lang": "python",
"repo": "tuhinsaud4614/tkinter_app_with_mysql",
"path": "/src/main.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>gth/2)%length)])):
total += num
print (total)<|fim_prefix|># repo: shogun21/adventofcode2017 path: /1/1b.py
fp = open("input.dat", "r")
line = fp.readline()
total = 0
length = len(line)
for i in range(length):
<|fim_middle|>num = int(line[i])
if (num == int(line[int((i+len | code_fim | easy | {
"lang": "python",
"repo": "shogun21/adventofcode2017",
"path": "/1/1b.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shogun21/adventofcode2017 path: /1/1b.py
fp = open("input.dat", "r")
line = fp.readline()
total = 0
length = len(line)
for i in range(length):
<|fim_suffix|>gth/2)%length)])):
total += num
print (total)<|fim_middle|>num = int(line[i])
if (num == int(line[int((i+len | code_fim | easy | {
"lang": "python",
"repo": "shogun21/adventofcode2017",
"path": "/1/1b.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CBIIT/ctdc-data-processing path: /transformation_script/nucleic_acid.py
import pandas as pd
from transformation_script.property_function import rename_properties, remove_trailing_zero
import os
def nucleic_acid_transformation(nucleic_acid_file_name, log, input_files, output_folder):
log.info... | code_fim | hard | {
"lang": "python",
"repo": "CBIIT/ctdc-data-processing",
"path": "/transformation_script/nucleic_acid.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> input_file_name = os.path.splitext(input_files['nucleic_acid'])[0]
output_file = os.path.join(output_folder, input_file_name + ".tsv")
nucleic_acid_df.to_csv(output_file, sep = "\t", index = False)<|fim_prefix|># repo: CBIIT/ctdc-data-processing path: /transformation_script/nucleic_acid.py
im... | code_fim | hard | {
"lang": "python",
"repo": "CBIIT/ctdc-data-processing",
"path": "/transformation_script/nucleic_acid.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: plvaliente/Trabajos-Academicos path: /Teoria de las Comunicaciones/net-sniffing/script.py
#! /usr/bin/env python
#For Python, this file uses encoding: utf-8
import sys
import numpy as np
import math as mat
from tabulate import tabulate
def esBroadcast(packet):
return packet.dst == "ff:ff:ff:ff... | code_fim | hard | {
"lang": "python",
"repo": "plvaliente/Trabajos-Academicos",
"path": "/Teoria de las Comunicaciones/net-sniffing/script.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> p1 = np.percentile(informacionesOrdenadas, 25)
p3 = np.percentile(informacionesOrdenadas, 75)
distinguidosA = []
distinguidosB = []
for linea in tablaOrdenadaXInfo:
if linea[2]<= p1:
distinguidosA.append(linea[0])
elif linea[2]>= p3:
distinguidosB.insert(0, linea[0])
ranking = []
i = ... | code_fim | hard | {
"lang": "python",
"repo": "plvaliente/Trabajos-Academicos",
"path": "/Teoria de las Comunicaciones/net-sniffing/script.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ( int(sys.argv[2] )==1):
print "Porcentaje de tráfico broadcast: "
print "\t\t",str(float(cantidadBroadcast)/cantidadDePaquetes) + "%"
print " "
if(len(probabilidades)>0):
print "¿Desea ver un ranking de los simbolos distinguidos?(S/N)"
respuesta = ""
while True:
respuesta = raw_input... | code_fim | hard | {
"lang": "python",
"repo": "plvaliente/Trabajos-Academicos",
"path": "/Teoria de las Comunicaciones/net-sniffing/script.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wattyyy/LeetCode path: /submissions/ransom-note/solution.py
# https://leetcode.com/problems/ransom-note
from collections import Counter
<|fim_suffix|> def canConstruct(self, ransomNote: str, magazine: str) -> bool:
r_cnt = Counter(ransomNote)
m_cnt = Counter(magazine)
... | code_fim | easy | {
"lang": "python",
"repo": "Wattyyy/LeetCode",
"path": "/submissions/ransom-note/solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r_cnt = Counter(ransomNote)
m_cnt = Counter(magazine)
for key in r_cnt:
if r_cnt[key] > m_cnt[key]:
return False
return True<|fim_prefix|># repo: Wattyyy/LeetCode path: /submissions/ransom-note/solution.py
# https://leetcode.com/problems/ransom-... | code_fim | medium | {
"lang": "python",
"repo": "Wattyyy/LeetCode",
"path": "/submissions/ransom-note/solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sys.path.append(here.parent)
os.chdir(here.parent)
from bar import Bar
b = Bar('hello')
#emit_signal('on_start')
b.start()
sleep(3)
b.stop()
#emit_signal('on_stop')<|fim_prefix|># repo: cfobel/multiprocessing___chdir_example path: /chdir_example/test_bar.py
from time... | code_fim | medium | {
"lang": "python",
"repo": "cfobel/multiprocessing___chdir_example",
"path": "/chdir_example/test_bar.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cfobel/multiprocessing___chdir_example path: /chdir_example/test_bar.py
from time import sleep
from path import path
here = path(__file__).abspath()
<|fim_suffix|> from bar import Bar
b = Bar('hello')
#emit_signal('on_start')
b.start()
sleep(3)
b.stop()
#emit_signal... | code_fim | medium | {
"lang": "python",
"repo": "cfobel/multiprocessing___chdir_example",
"path": "/chdir_example/test_bar.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> from bar import Bar
b = Bar('hello')
#emit_signal('on_start')
b.start()
sleep(3)
b.stop()
#emit_signal('on_stop')<|fim_prefix|># repo: cfobel/multiprocessing___chdir_example path: /chdir_example/test_bar.py
from time import sleep
from path import path
here = path(__file__).... | code_fim | medium | {
"lang": "python",
"repo": "cfobel/multiprocessing___chdir_example",
"path": "/chdir_example/test_bar.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fraromesc/conceptos_raspberry path: /prueba_arduino.py
import time
import serial
ser= serial.Serial("/dev/ttyACM0", baudrate=9600)
<|fim_suffix|>except KeyboardInterrupt:
print("\nInterrupcion por teclado")
except ValueError as ve:
print(ve)
print("Otra interrupcion")
finally:
ser.clo... | code_fim | hard | {
"lang": "python",
"repo": "fraromesc/conceptos_raspberry",
"path": "/prueba_arduino.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>except KeyboardInterrupt:
print("\nInterrupcion por teclado")
except ValueError as ve:
print(ve)
print("Otra interrupcion")
finally:
ser.close()<|fim_prefix|># repo: fraromesc/conceptos_raspberry path: /prueba_arduino.py
import time
import serial
ser= serial.Serial("/dev/ttyACM0", baudrate=9600... | code_fim | hard | {
"lang": "python",
"repo": "fraromesc/conceptos_raspberry",
"path": "/prueba_arduino.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ntust-Course/coper-files path: /courses/forms.py
from django import forms
from django.contrib.auth.models import User
from courses.models import CourseFile, CourseInformation
<|fim_suffix|> class Meta:
model = CourseFile
fields = ("cfile", "cfile_class", "cfile_year", "cfile... | code_fim | easy | {
"lang": "python",
"repo": "Ntust-Course/coper-files",
"path": "/courses/forms.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = CourseFile
fields = ("cfile", "cfile_class", "cfile_year", "cfile_content")
exlcude = ("uploader", "course", "cfile")
def __init__(self, *args, **kwargs):
super(CourseFilesForm, self).__init__(*args, **kwargs)<|fim_prefix|># repo: Ntust-Course/c... | code_fim | medium | {
"lang": "python",
"repo": "Ntust-Course/coper-files",
"path": "/courses/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(CourseFilesForm, self).__init__(*args, **kwargs)<|fim_prefix|># repo: Ntust-Course/coper-files path: /courses/forms.py
from django import forms
from django.contrib.auth.models import User
from courses.models import CourseFile, CourseInformation
class CourseFilesForm(forms.ModelForm):
... | code_fim | easy | {
"lang": "python",
"repo": "Ntust-Course/coper-files",
"path": "/courses/forms.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheJacksonLaboratory/gm-cells-chiadrop path: /scripts/9region_sort.py
import pybedtools
from pybedtools import BedTool
import numpy as np
from tqdm import tqdm
import pandas as pd
import multiprocessing
from multiprocessing import Pool
import functools
import argparse
# Process the given regio... | code_fim | hard | {
"lang": "python",
"repo": "TheJacksonLaboratory/gm-cells-chiadrop",
"path": "/scripts/9region_sort.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># ipdb.set_trace()
if CHR == FF[0]:
# print(CHR,FF[0],'True')
interval = [0,0,0,0]
interval[0] = Temp[0]
interval[1] = Temp[1]
interval[2] = Temp[2]
interval[3] = Temp[3]
NumFrag = FF[4]
Start = list(map(int, FF[1:3]))
End = ... | code_fim | hard | {
"lang": "python",
"repo": "TheJacksonLaboratory/gm-cells-chiadrop",
"path": "/scripts/9region_sort.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Check for the left/right/both/none condition
def Checkintersect(s1,s2,e1,e2):
return (min(e1, e2) - max(s1, s2)) > 0
def inInterval(FF,Temp,Type,Length,CHR):
# ipdb.set_trace()
if CHR == FF[0]:
# print(CHR,FF[0],'True')
interval = [0,0,0,0]
interval[0] = Temp[0]
... | code_fim | hard | {
"lang": "python",
"repo": "TheJacksonLaboratory/gm-cells-chiadrop",
"path": "/scripts/9region_sort.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> p = re.compile('http(.*?)(png|jpg|jpeg|gif)', re.IGNORECASE)
for line in lines:
m = p.search(line)
if m and 'readme' in m.group():
print(m.group())
for element in result:
extractImages(element)<|fim_prefix|># repo: laalaguer/vechain-docs-legacy path: /getImages.p... | code_fim | medium | {
"lang": "python",
"repo": "laalaguer/vechain-docs-legacy",
"path": "/getImages.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: laalaguer/vechain-docs-legacy path: /getImages.py
import os
import re
result = []
for root, dirs, files in os.walk('.'):
for filename in files:
if 'rst' == filename.split('.')[-1]:
result.append(os.path.join(root, filename))
if 'md' == filename.split('.')[-1]:
... | code_fim | medium | {
"lang": "python",
"repo": "laalaguer/vechain-docs-legacy",
"path": "/getImages.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: agongee/prema_sim path: /test.py
import os
import csv
import matplotlib.pyplot as plt
import pandas as pd
path = "./result"
file_list = os.listdir(path)
instance_list = []
scheduler_list = []
for i in file_list:
if i.find("instance") != -1:
instance_list.append(i)
else:... | code_fim | hard | {
"lang": "python",
"repo": "agongee/prema_sim",
"path": "/test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> index = algo_num + mecha_num * 4
antt[index] += ser['ANTT']
stp[index] += ser['STP']
fairness[index] += ser['Fairness']
num[index] += 1
for i in range(8):
if num[i] == 0:
continue
else:
antt[i] /= num[i]
stp[i] /= num[i]... | code_fim | hard | {
"lang": "python",
"repo": "agongee/prema_sim",
"path": "/test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samgmansfield/PIMAP_System path: /pimap/pimapsensetcp.py
"""PIMAP Sense component that listens for TCP packets.
PIMAP Sense TCP is a PIMAP Sense component that starts a multi-process server on a given
host and port. PIMAP Sense TCP supports both IPv4 and IPv6.
License:
Author: Sam Mansfield
"""... | code_fim | hard | {
"lang": "python",
"repo": "samgmansfield/PIMAP_System",
"path": "/pimap/pimapsensetcp.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> Terminates server processes and closes the socket.
"""
self.running.value = False
# Empty queues or processes won't join.
while not self.pimap_data_queue.empty(): self.pimap_data_queue.get()
while not self.received_address_queue.empty(): self.received_address_queue.get()
for wo... | code_fim | hard | {
"lang": "python",
"repo": "samgmansfield/PIMAP_System",
"path": "/pimap/pimapsensetcp.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>1, 1, 1000),
([1] * 1001, 1000, 1),
([9, 4, 3, 5, 6, 3, 4, 1, 8, 8, 1, 3, 8, 5, 2, 4, 2, 2, 9, 1, 6, 4, 5, 2, 7, 1, 3, 3, 4], 0, 29),
([7, 3, 9, 4, 6, 7, 8, 9, 3, 8, 7, 5, 2, 6, 8, 7, 2, 8, 6, 6, 7, 2, 3, 3, 9], 1, 2)
)
)
def test_solution(n, sequence, expected):
ass... | code_fim | medium | {
"lang": "python",
"repo": "mlevesquedion/Coding-dojo-CSG",
"path": "/n_back/test_solution.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mlevesquedion/Coding-dojo-CSG path: /n_back/test_solution.py
import pytest
from solution import n_back
@pytest.mark.parametrize(
('sequence', 'n', 'expected'),
(
([1, 1, 1, 1, 1], 1, 4),
([1, 1, 1, 1<|fim_suffix|>, 4, 6, 7, 8, 9, 3, 8, 7, 5, 2, 6, 8, 7, 2, 8, 6, 6,... | code_fim | hard | {
"lang": "python",
"repo": "mlevesquedion/Coding-dojo-CSG",
"path": "/n_back/test_solution.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kyzhouhzau/Web_Crawler path: /craw_jobs/db.py
#! usr/bin/env python3
# -*- coding:utf-8 -*-
import pymongo
from 抓取招聘信息.craw_jobs.setting import *
client = pymongo.MongoClient(MONGO_URL)
db = client[MONGO_DB]
<|fim_suffix|> if db['zhilianzhaopin'].insert(result):
print('插入数据库... | code_fim | easy | {
"lang": "python",
"repo": "kyzhouhzau/Web_Crawler",
"path": "/craw_jobs/db.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if db['zhilianzhaopin'].insert(result):
print('插入数据库成功', result)
return None<|fim_prefix|># repo: kyzhouhzau/Web_Crawler path: /craw_jobs/db.py
#! usr/bin/env python3
# -*- coding:utf-8 -*-
<|fim_middle|>import pymongo
from 抓取招聘信息.craw_jobs.setting import *
client = pymongo.MongoC... | code_fim | medium | {
"lang": "python",
"repo": "kyzhouhzau/Web_Crawler",
"path": "/craw_jobs/db.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def save_to_mongo(result):
if db['zhilianzhaopin'].insert(result):
print('插入数据库成功', result)
return None<|fim_prefix|># repo: kyzhouhzau/Web_Crawler path: /craw_jobs/db.py
#! usr/bin/env python3
# -*- coding:utf-8 -*-
<|fim_middle|>import pymongo
from 抓取招聘信息.craw_jobs.setting impor... | code_fim | medium | {
"lang": "python",
"repo": "kyzhouhzau/Web_Crawler",
"path": "/craw_jobs/db.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # if there is no context_annotations
else:
# make it NULL
# print("context_annotation is null")
context_domain_array = None
# PLACES
# if tweet_place_id is not None
if tweet_place_id is not None:
... | code_fim | hard | {
"lang": "python",
"repo": "DavidRimar/TwitterETL_FullArchive_AcademicAPI",
"path": "/TweetCollector_FullArchiveAPI/TweetLoader.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DavidRimar/TwitterETL_FullArchive_AcademicAPI path: /TweetCollector_FullArchiveAPI/TweetLoader.py
from sqlalchemy import create_engine
from datetime import datetime
from TweetCollector_FullArchiveAPI.Tables import Base, Tweet, Place
from sqlalchemy.orm import sessionmaker
from contextlib import c... | code_fim | hard | {
"lang": "python",
"repo": "DavidRimar/TwitterETL_FullArchive_AcademicAPI",
"path": "/TweetCollector_FullArchiveAPI/TweetLoader.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> JobDes = []
CompanyType = []
NumberStaff = []
Industry = []
for i in range(len(href)):
web_sub = requests.get(href[i])
web_sub.encoding = 'GBK'
dom_sub = etree.HTML(web_sub.text)
job_des = dom_sub.xpath('//div[@class="tCompany_main"]//div[@class="bmsg jo... | code_fim | hard | {
"lang": "python",
"repo": "hhongker/java",
"path": "/笔记本电脑的东西/暑期线上培训/作业/5/大数据岗位人才招聘信息的分析与挖掘/大数据岗位人才招聘信息的分析与挖掘-数据&代码/get_info.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hhongker/java path: /笔记本电脑的东西/暑期线上培训/作业/5/大数据岗位人才招聘信息的分析与挖掘/大数据岗位人才招聘信息的分析与挖掘-数据&代码/get_info.py
import requests
import pandas as pd
from lxml import etree
import time
url_pa = 'https://search.51job.com/list/000000,000000,0000,00,9,99,%25E6%2595%25B0%25E6%258D%25AE,2,'
url_end = '.html?lang=c&pos... | code_fim | hard | {
"lang": "python",
"repo": "hhongker/java",
"path": "/笔记本电脑的东西/暑期线上培训/作业/5/大数据岗位人才招聘信息的分析与挖掘/大数据岗位人才招聘信息的分析与挖掘-数据&代码/get_info.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Initialize a command line set of subparsers with the add command.
Args:
subparsers: A collection of subparsers as defined by `argsparse`.
"""
# add
add_p = subparsers.add_parser('add', description='Create a bundle from a .csv, .tsv, or a directory of files.')
add_p.add_... | code_fim | hard | {
"lang": "python",
"repo": "kyocum/disdat",
"path": "/disdat/add.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def add_arg_parser(subparsers):
"""Initialize a command line set of subparsers with the add command.
Args:
subparsers: A collection of subparsers as defined by `argsparse`.
"""
# add
add_p = subparsers.add_parser('add', description='Create a bundle from a .csv, .tsv, or a dire... | code_fim | medium | {
"lang": "python",
"repo": "kyocum/disdat",
"path": "/disdat/add.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kyocum/disdat path: /disdat/add.py
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | code_fim | medium | {
"lang": "python",
"repo": "kyocum/disdat",
"path": "/disdat/add.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# IDS search algorithm's outer function, iterating over depth_limited_search
def iterative_deepening_search(problem):
developed_counter = 0
for depth in range(1, 20):
result, developed_counter_in_iteration, final_path_cost = depth_limited_search(problem, depth)
developed_cou... | code_fim | hard | {
"lang": "python",
"repo": "israelElad/AI",
"path": "/ex1/solution/IDS_Searcher.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: israelElad/AI path: /ex1/solution/IDS_Searcher.py
from Node import Node
# IDS search algorithm's inner function
def depth_limited_search(problem, limit):
<|fim_suffix|># IDS search algorithm's outer function, iterating over depth_limited_search
def iterative_deepening_search(problem):
... | code_fim | hard | {
"lang": "python",
"repo": "israelElad/AI",
"path": "/ex1/solution/IDS_Searcher.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># 机器学习的问题大致可以分为分类问题和回归问题。分类问题是数据属于哪一个类别的问题。
# 比如，区分图像中的人是男性还是女性的问题就是分类问题。
# 而回归问题是根据某个输入预测一个（连续的）数值的问题。
# 比如，根据一个人的图像预测这个人的体重的问题就是回归问题（类似“57.4kg”这样的预测）<|fim_prefix|># repo: tangkangtai/pythonProject3 path: /book/1/函数tips.py
# 一般，回归问题可以使用恒等函数，二元分类问题可以使用sigmoid函数，
# 多元分类问题可以使用softmax函数
<|fim_middle|># --... | code_fim | easy | {
"lang": "python",
"repo": "tangkangtai/pythonProject3",
"path": "/book/1/函数tips.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tangkangtai/pythonProject3 path: /book/1/函数tips.py
# 一般，回归问题可以使用恒等函数，二元分类问题可以使用sigmoid函数，
# 多元分类问题可以使用softmax函数
<|fim_suffix|># 机器学习的问题大致可以分为分类问题和回归问题。分类问题是数据属于哪一个类别的问题。
# 比如，区分图像中的人是男性还是女性的问题就是分类问题。
# 而回归问题是根据某个输入预测一个（连续的）数值的问题。
# 比如，根据一个人的图像预测这个人的体重的问题就是回归问题（类似“57.4kg”这样的预测）<|fim_middle|># --... | code_fim | easy | {
"lang": "python",
"repo": "tangkangtai/pythonProject3",
"path": "/book/1/函数tips.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: planetodooofficial/time_tracker path: /hr_timesheet_task_domain/__manifest__.py
{
'name': 'Task Log: limit Task by Project',
'version': '12.0.1.0.0',
'category': 'H<|fim_suffix|>n to tasks on currently-selected project'
),
'depends': [
'hr_timesheet',
],
}<|fim_mi... | code_fim | medium | {
"lang": "python",
"repo": "planetodooofficial/time_tracker",
"path": "/hr_timesheet_task_domain/__manifest__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>n to tasks on currently-selected project'
),
'depends': [
'hr_timesheet',
],
}<|fim_prefix|># repo: planetodooofficial/time_tracker path: /hr_timesheet_task_domain/__manifest__.py
{
'name': 'Task Log: limit Task by Project',
'version': '12.0.1.0.0',
'category': 'Human Res... | code_fim | medium | {
"lang": "python",
"repo": "planetodooofficial/time_tracker",
"path": "/hr_timesheet_task_domain/__manifest__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>start = time.time()
k = 200
b = 10000000
result = count(b,k)
count = 0
print(time.time() - start)
for i in result:
if i >= 0 and i <= k:
count += 1
print(count)
print(time.time() - start)<|fim_prefix|># repo: chongliw/algorithm_py path: /fun/Zhijie_Collatz.py
__author__ = "Zhijie Huang"
imp... | code_fim | hard | {
"lang": "python",
"repo": "chongliw/algorithm_py",
"path": "/fun/Zhijie_Collatz.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chongliw/algorithm_py path: /fun/Zhijie_Collatz.py
__author__ = "Zhijie Huang"
import time
def f(a):
if a % 2 == 0:
return a // 2
else:
return 3 * a + 1
def count(b, k):
<|fim_suffix|>start = time.time()
k = 200
b = 10000000
result = count(b,k)
count = 0
print(time.tim... | code_fim | hard | {
"lang": "python",
"repo": "chongliw/algorithm_py",
"path": "/fun/Zhijie_Collatz.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jstacoder/flask-angular-blog-example path: /phlaskr/api/__init__.py
from flask import Flask,views,jsonify,request,make_response,json,g,redirect,abort,g,current_app
from ..models import Comment,Post,Tag,Email,AppUser as User,PublicUser
from itsdangerous import TimedJSONWebSignatureSerializer as si... | code_fim | hard | {
"lang": "python",
"repo": "jstacoder/flask-angular-blog-example",
"path": "/phlaskr/api/__init__.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def post(self):
if 'application/json' in request.headers['Content-Type']:
data = json.loads(request.data)
else:
data = dict(request.form.items())
print data
if not user_exists(data['username']):
if not email_exists(data['email']):
... | code_fim | hard | {
"lang": "python",
"repo": "jstacoder/flask-angular-blog-example",
"path": "/phlaskr/api/__init__.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> url(r'^add/(?P<id>\d+)$', views.add),
url(r'^song/(?P<id>\d+)$', views.songUser),
url(r'^show/(?P<id>\d+)$', views.showUser),
]<|fim_prefix|># repo: bmcconchie/playlist path: /apps/main_app/urls.py
from django.conf.urls import url
from . import views
urlpatterns = [
<|fim_middle|>... | code_fim | medium | {
"lang": "python",
"repo": "bmcconchie/playlist",
"path": "/apps/main_app/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bmcconchie/playlist path: /apps/main_app/urls.py
from django.conf.urls import url
from . import views
urlpatterns = [
<|fim_suffix|>$', views.songUser),
url(r'^show/(?P<id>\d+)$', views.showUser),
]<|fim_middle|> url(r'^$', views.main),
url(r'^create$', views.create),
... | code_fim | medium | {
"lang": "python",
"repo": "bmcconchie/playlist",
"path": "/apps/main_app/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cleoold/segmentation-fault path: /python3-ctypes/crashme/__init__.py
import ctypes
import pathlib
<|fim_suffix|> c_crash_me()
__all__ = [ 'crash_me' ]<|fim_middle|>libfile = ctypes.CDLL(
# relative to this module file
str(pathlib.Path(__file__).parent.absolute() / 'libcrashme.so')
)
... | code_fim | hard | {
"lang": "python",
"repo": "cleoold/segmentation-fault",
"path": "/python3-ctypes/crashme/__init__.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>c_crash_me = libfile.crash_me
c_crash_me.argtypes = []
def crash_me() -> None:
c_crash_me()
__all__ = [ 'crash_me' ]<|fim_prefix|># repo: cleoold/segmentation-fault path: /python3-ctypes/crashme/__init__.py
import ctypes
import pathlib
<|fim_middle|>libfile = ctypes.CDLL(
# relative to this mo... | code_fim | medium | {
"lang": "python",
"repo": "cleoold/segmentation-fault",
"path": "/python3-ctypes/crashme/__init__.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def crash_me() -> None:
c_crash_me()
__all__ = [ 'crash_me' ]<|fim_prefix|># repo: cleoold/segmentation-fault path: /python3-ctypes/crashme/__init__.py
import ctypes
import pathlib
<|fim_middle|>libfile = ctypes.CDLL(
# relative to this module file
str(pathlib.Path(__file__).parent.absolute... | code_fim | medium | {
"lang": "python",
"repo": "cleoold/segmentation-fault",
"path": "/python3-ctypes/crashme/__init__.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ramesh960386/django-advance-workflow path: /daw/urls.py
from django.conf.urls import patterns, url
urlpatterns = patterns('daw.views',
url(
r'^init_object_approvements/(?P<content_type_id>[$a-zA-Z0-9]+)/(?P<obj_pk>[$a-zA-Z0-9]+)/(?P<state_field>[... | code_fim | hard | {
"lang": "python",
"repo": "ramesh960386/django-advance-workflow",
"path": "/daw/urls.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>te'),
url(
r'^get_state_by_label/(?P<label>[$a-zA-Z0-9]+)/?$', 'get_state_by_label'),
url(
r'^skip_transition/(?P<content_type_id>[$a-zA-Z0-9]+)/(?P<object_id>[$a-zA-Z0-9]+)/(?P<state_field>[$a-zA-Z0-9_]+)/... | code_fim | hard | {
"lang": "python",
"repo": "ramesh960386/django-advance-workflow",
"path": "/daw/urls.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for event in pygame.event.get():
if event.type == pygame.QUIT:
run = False
keys = pygame.key.get_pressed()
if keys[pygame.K_LEFT] and x > vel:
x -= vel
left = True
right = False
elif keys[pygame.K_RIGHT] and x < (win_width - width - vel... | code_fim | hard | {
"lang": "python",
"repo": "abriggs914/Coding_Practice",
"path": "/Python/Pygame/TechWithTim/intro_game/game_1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abriggs914/Coding_Practice path: /Python/Pygame/TechWithTim/intro_game/game_1.py
import pygame
import math
pygame.init()
win_height = 480
win_width = 500
win = pygame.display.set_mode((win_width, win_height))
pygame.display.set_caption('First Game')
x = 50
y = 400
width = 64
height = 64
vel = ... | code_fim | hard | {
"lang": "python",
"repo": "abriggs914/Coding_Practice",
"path": "/Python/Pygame/TechWithTim/intro_game/game_1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shannywu/digital-humanity path: /webcrawl/seCrawler/seCrawler/spiders/keywordSpider.py
import scrapy
from scrapy.spiders import Spider
from seCrawler.common.searResultPages import searResultPages
from seCrawler.common.searchEngines import SearchEngineResultSelectors
from seCrawler.common.searchEn... | code_fim | hard | {
"lang": "python",
"repo": "shannywu/digital-humanity",
"path": "/webcrawl/seCrawler/seCrawler/spiders/keywordSpider.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = 'keywordSpider'
allowed_domains = ['bing.com', 'google.com', 'baidu.com']
start_urls = []
keyword = None
searchEngine = None
selector = None
maxpage = None
def __init__(self, keyword, se='bing', maxpage=10):
self.keyword = keyword.lower()
self.search... | code_fim | medium | {
"lang": "python",
"repo": "shannywu/digital-humanity",
"path": "/webcrawl/seCrawler/seCrawler/spiders/keywordSpider.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, keyword, se='bing', maxpage=10):
self.keyword = keyword.lower()
self.searchEngine = se.lower()
self.selector = SearchEngineResultSelectors[self.searchEngine]
self.start_urls.append(SearchEngines[se].format(keyword, 1))
self.maxpage = maxpage
... | code_fim | hard | {
"lang": "python",
"repo": "shannywu/digital-humanity",
"path": "/webcrawl/seCrawler/seCrawler/spiders/keywordSpider.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SHUKLA123/Medicine path: /testapp/migrations/0007_auto_20190303_1729.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2019-03-03 11:59
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations =... | code_fim | hard | {
"lang": "python",
"repo": "SHUKLA123/Medicine",
"path": "/testapp/migrations/0007_auto_20190303_1729.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Buy1',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('Medicine', models.CharField(max_length=30)),
('Company_Name'... | code_fim | hard | {
"lang": "python",
"repo": "SHUKLA123/Medicine",
"path": "/testapp/migrations/0007_auto_20190303_1729.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: juliepratx/Projets_Master_Bioinfo_Bordeaux path: /AssemblerADN/data_ADN_part1.py
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 18 10:07:36 2019
@author: Julie
Crétion d'un fichier contenant la séquence d'ADN (brin sens et brin non sens)
ainsi que les Read et leurs valeurs de qualité.
... | code_fim | hard | {
"lang": "python",
"repo": "juliepratx/Projets_Master_Bioinfo_Bordeaux",
"path": "/AssemblerADN/data_ADN_part1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>saveDicoBS("Dictionnaire_BS_OBI.txt")
def saveDicoBNS(file):
NomDuFichier = (file)
Fichier = open(NomDuFichier,'w') # Crée un fichier *.txt en écriture
Fichier.write(str(dico_readsNS)) # Ecrit le dictionnaire dans le fichier
Fichier.close()
saveDicoBNS("Dictionnaire_BNS_OB... | code_fim | hard | {
"lang": "python",
"repo": "juliepratx/Projets_Master_Bioinfo_Bordeaux",
"path": "/AssemblerADN/data_ADN_part1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#adaptateursF(10)
###############################################################################
# Sauvegarde dans un fichier #
###############################################################################
"""
Ces 5 procédures ont pour même argument... | code_fim | hard | {
"lang": "python",
"repo": "juliepratx/Projets_Master_Bioinfo_Bordeaux",
"path": "/AssemblerADN/data_ADN_part1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jpegbert/TensorFlow1.x path: /tf_save_model_and_load/demo1/save_and_load.py
import tensorflow as tf
import numpy as np
"""
https://www.jianshu.com/p/52e7ae04cecf
保存模型和加载模型
这种方法不方便的在于，在使用模型的时候，必须把模型的结构重新定义一遍，然后载入对应名字的变量的值。
"""
<|fim_suffix|>def load():
W = tf.Variable(tf.truncated_normal(sh... | code_fim | hard | {
"lang": "python",
"repo": "jpegbert/TensorFlow1.x",
"path": "/tf_save_model_and_load/demo1/save_and_load.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> W = tf.Variable(tf.truncated_normal(shape=(2, 3)), dtype=tf.float32, name='w')
b = tf.Variable(tf.truncated_normal(shape=(3,)), dtype=tf.float32, name='b')
saver = tf.train.Saver()
with tf.Session() as sess:
saver.restore(sess, "save/model.ckpt")
def main():
save()
# loa... | code_fim | medium | {
"lang": "python",
"repo": "jpegbert/TensorFlow1.x",
"path": "/tf_save_model_and_load/demo1/save_and_load.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> if email.max_send != None and recent_logs.count() + 1 >= email.max_send:
email.active = False
message = '%s\nYour price notification was activated due to price of $%s on %s.\n\n' % (str(now),
... | code_fim | hard | {
"lang": "python",
"repo": "wayfarer/daybittrader",
"path": "/base/dbtrade/apps/trader/tasks.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wayfarer/daybittrader path: /base/dbtrade/apps/trader/tasks.py
from datetime import timedelta, datetime
#from datetime import datetime
from decimal import Decimal
from pprint import pprint
from django.conf import settings
from django.core.mail import send_mail
from celery.task import task
from ... | code_fim | hard | {
"lang": "python",
"repo": "wayfarer/daybittrader",
"path": "/base/dbtrade/apps/trader/tasks.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print 'mtgox_price=%s' % mtgox_price
print 'coinbase_price=%s' % coinbase_price
print 'bitstamp_price=%s' % bitstamp_price
mtgox_price = Decimal(mtgox_price)
coinbase_price = Decimal(coinbase_price)
bitstamp_price = Decimal(bitstamp_price)
timedeltas = {
... | code_fim | hard | {
"lang": "python",
"repo": "wayfarer/daybittrader",
"path": "/base/dbtrade/apps/trader/tasks.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ingafter60/MaikaCRM path: /accounts/admin.py
from django.contrib import admin
# Register your models here.
<|fim_suffix|>admin.site.register(Customer)
admin.site.register(Tag)
admin.site.register(Product)
admin.site.register(Order)<|fim_middle|># from .models import Customer
# from .models impo... | code_fim | medium | {
"lang": "python",
"repo": "ingafter60/MaikaCRM",
"path": "/accounts/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Customer)
admin.site.register(Tag)
admin.site.register(Product)
admin.site.register(Order)<|fim_prefix|># repo: ingafter60/MaikaCRM path: /accounts/admin.py
from django.contrib import admin
<|fim_middle|># Register your models here.
# from .models import Customer
# from .models impo... | code_fim | medium | {
"lang": "python",
"repo": "ingafter60/MaikaCRM",
"path": "/accounts/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> existing_paths = []
for path in paths:
try:
os.makedirs(path)
existing_paths += path
except OSError as e:
if e.errno != errno.EEXIST:
raise
else:
existing_paths +... | code_fim | hard | {
"lang": "python",
"repo": "mxmrlv/aREST",
"path": "/arest/core.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mxmrlv/aREST path: /arest/core.py
import os
import errno
import aria as aria_
from aria import core as aria_core
from aria.orchestrator import (
plugin,
workflow_runner
)
from aria.storage import sql_mapi
from aria.storage import filesystem_rapi
class AriaCore():
def __init__(sel... | code_fim | hard | {
"lang": "python",
"repo": "mxmrlv/aREST",
"path": "/arest/core.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._plugin_manager.validate_plugin(source)
self._plugin_manager.install(source)
def create_service_template(self, path, name):
aria_.install_aria_extensions()
self._core.create_service_template(path, os.path.dirname(path), name)
return str(self.model.service_... | code_fim | hard | {
"lang": "python",
"repo": "mxmrlv/aREST",
"path": "/arest/core.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> x=np.array(sorted(x))
a=np.array(a)
b=np.array(b)
b_err=np.array(b_err)
b_med = np.array(b_med)
b_Q1 = np.array(b_Q1)
b_Q3 = np.array(b_Q3)
c=np.array(c)
wa=np.array(wa)
axes[0][i].set_title("N="+str(sizes[s]))
if(not boxplot):
axes[0][i].plot(x,b,c... | code_fim | hard | {
"lang": "python",
"repo": "Nicambier/swarm-lingustics",
"path": "/conceptual_model/perf.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nicambier/swarm-lingustics path: /conceptual_model/perf.py
# Libraries
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from scipy.stats import ranksums
directory='com_range1_8n'
start=1
qt=100
time=300000
boxplot = True
#nValues=[0.001]
sizes=[25,50,100,20... | code_fim | hard | {
"lang": "python",
"repo": "Nicambier/swarm-lingustics",
"path": "/conceptual_model/perf.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> a = []
b = []
b_err = []
b_med = []
b_Q1 = []
b_Q3 = []
c = []
wa = []
for z in range(len(y1)):
a.append(np.mean(y1[z]))
b.append(np.mean(y2[z]))
b_err.append(np.std(y2[z]))
b_med.append(np.median(y2[z]))
b_Q1.append(np.percentil... | code_fim | hard | {
"lang": "python",
"repo": "Nicambier/swarm-lingustics",
"path": "/conceptual_model/perf.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def rotate_string(text, rot):
encrypt_text = ""
for character in text:
encrypt_text += rotate_character(character, rot)
return encrypt_text<|fim_prefix|># repo: linwang314/web-caesar path: /caesar.py
def alphabet_position(letter):
alphabet = "abcdefghijklmnopqrstuvwxyz"
return... | code_fim | hard | {
"lang": "python",
"repo": "linwang314/web-caesar",
"path": "/caesar.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: linwang314/web-caesar path: /caesar.py
def alphabet_position(letter):
alphabet = "abcdefghijklmnopqrstuvwxyz"
return alphabet.index(letter.lower())
def rotate_character(char, rot):
alphabet = "abcdefghijklmnopqrstuvwxyz"
if char.isalpha():
idx = (alphabet_position(char) +... | code_fim | medium | {
"lang": "python",
"repo": "linwang314/web-caesar",
"path": "/caesar.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_quicksort_list_with_just_one_element():
assert quicksort([1]) == [1]
def test_quicksort_list_with_two_elements_already_sorted():
assert quicksort([1, 2]) == [1, 2]
def test_quicksort_sort_2_1_in_1_2():
assert quicksort([2, 1]) == [1, 2]
def test_quicksort_sort_2_3_1_in_1_2_3():
... | code_fim | hard | {
"lang": "python",
"repo": "lipemorais/py_to_hs",
"path": "/test_presentation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_factorial2_of_3_is_6():
assert factorial2(3) == 6
def test_factorial2_of_4_is_24():
assert factorial2(4) == 24
# _map
def test_map_plus_1_in_empty_list():
assert _map(lambda x: x + 1, []) == []
def test_map_plus_1_in_list_just_with_2():
assert _map(lambda x: x + 1, [1]) == [2]
... | code_fim | hard | {
"lang": "python",
"repo": "lipemorais/py_to_hs",
"path": "/test_presentation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lipemorais/py_to_hs path: /test_presentation.py
from presentation import elem, elem2, factorial, factorial2, _map, _map2, quicksort
# elem
assert elem(1, [1,2]) == True
assert elem(3, [1,2]) == False
assert elem(4, [1,2]) == False
assert elem(4, [4]) == True
assert elem(1, []) == False
# elem2... | code_fim | hard | {
"lang": "python",
"repo": "lipemorais/py_to_hs",
"path": "/test_presentation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tectronics/blogiscms path: /tools/Captcha.py
# -*- coding: utf8 -*- #
import Image, ImageDraw, ImageFont
import random
from cStringIO import StringIO
import tornado
from Base import BaseHandler
class Captcha( BaseHandler ):
def create_captcha( self, charNum, fontSize ):
alphArr = ['... | code_fim | hard | {
"lang": "python",
"repo": "tectronics/blogiscms",
"path": "/tools/Captcha.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>height - 3 ) ),
fill = ( random.randint( 70, 150 ),
random.randint( 20, 220 ),
random.randint( 160, 220 ) ),
width = random.randint( 1, 2 ) )
#image.save("captcha.jpg")
out = StringIO()
... | code_fim | hard | {
"lang": "python",
"repo": "tectronics/blogiscms",
"path": "/tools/Captcha.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>ем маску, чтобы фон буквы стал прозрачным:
mask = Image.new( 'L', ( fontSize + 10, fontSize + 10 ), 0 )
mask.paste( charImg, ( 0, 0 ) )
hpos = 10 + ( i * interval + random.randint( 10, interval - 10 ) )
vpos = random.randint( 10, 20 )
image.paste... | code_fim | hard | {
"lang": "python",
"repo": "tectronics/blogiscms",
"path": "/tools/Captcha.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(self.result)
return self.result
def dfs(self, index, n, k):
if len(self.tmp) == k:
self.result.append(self.tmp.copy())
return
for i in range(index, n + 1):
self.tmp.append(i)
self.dfs(i + 1, n, k)
self.... | code_fim | medium | {
"lang": "python",
"repo": "imlifeilong/MyAlgorithm",
"path": "/leetcode/回溯/77.组合.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imlifeilong/MyAlgorithm path: /leetcode/回溯/77.组合.py
from typing import List
'''
给定两个整数 n 和 k，返回 1 ... n 中所有可能的 k 个数的组合。
示例:
输入: n = 4, k = 2
输出:
[
[2,4],
[3,4],
[2,3],
[1,2],
[1,3],
[1,4],
]
'''
class Solution:
<|fim_suffix|> print(self.result)
return self.result
... | code_fim | medium | {
"lang": "python",
"repo": "imlifeilong/MyAlgorithm",
"path": "/leetcode/回溯/77.组合.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> vanishPoints = []
for vanishPencil in self.pencils.values():
rays = vanishPencil.vanishRays
for ray in rays:
vanishPoints.append((ray.vanishPoint, ray.pencil_id))
return vanishPoints
def getVirtualPoints(self):
virtualPoints = []
for vanishPencil in self.pencils.values():
rays = va... | code_fim | hard | {
"lang": "python",
"repo": "Charamba/Cross-Ratio-Arrays-Shape-Descriptor",
"path": "/src/VanishPencilsTable.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.pencils.items()
def getVanishPoints(self):
vanishPoints = []
for vanishPencil in self.pencils.values():
rays = vanishPencil.vanishRays
for ray in rays:
vanishPoints.append((ray.vanishPoint, ray.pencil_id))
return vanishPoints
def getVirtualPoints(self):
virtualPoints = []... | code_fim | medium | {
"lang": "python",
"repo": "Charamba/Cross-Ratio-Arrays-Shape-Descriptor",
"path": "/src/VanishPencilsTable.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Charamba/Cross-Ratio-Arrays-Shape-Descriptor path: /src/VanishPencilsTable.py
from ShapeDescriptor import *
class VanishPencil:
def __init__(self, vanishRay=None):
self.vanishRays = None
if vanishRay:
self.vanishRays = [vanishRay] # List of vanishRays
def updateVanishRay(self, newVanish... | code_fim | hard | {
"lang": "python",
"repo": "Charamba/Cross-Ratio-Arrays-Shape-Descriptor",
"path": "/src/VanishPencilsTable.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
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