text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: rsimari/secure_import path: /src/secure_build.py
""" Securely wraps a module so it can be securely imported
"""
from crypto_utils import *
# TODO: to make this many functions or one with many options?
<|fim_suffix|> # check if key exists, if not generate a key pair
private_key, public_key = l... | code_fim | hard | {
"lang": "python",
"repo": "rsimari/secure_import",
"path": "/src/secure_build.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for s in sentences:
n = nlp(s)
print('Sentence:', s)
if n._.has_coref:
print('The sentence has coref.')
print('The coref clusters:')
print(n._.coref_clusters, '\n')
else:
print('The sentence has no coref.\n')<|fim_prefix|># repo: Krazymud/NLP-class ... | code_fim | hard | {
"lang": "python",
"repo": "Krazymud/NLP-class",
"path": "/semantic/nlp_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Krazymud/NLP-class path: /semantic/nlp_test.py
import spacy
nlp = spacy.load('en')
# Add neural coref to SpaCy's pipe
import neuralcoref
neuralcoref.add_to_pipe(nlp)
<|fim_suffix|>for s in sentences:
n = nlp(s)
print('Sentence:', s)
if n._.has_coref:
print('The se... | code_fim | hard | {
"lang": "python",
"repo": "Krazymud/NLP-class",
"path": "/semantic/nlp_test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gianacuratemedia/acurate_sistemas2 path: /knowtured/Selecciona_k/serializers.py
from rest_framework import serializers
from .models import Selecciona
class SeleccionaSerializer(serializers.ModelSerializer):
<|fim_suffix|> model = Selecciona
fields = ('pk','categoria')<|fim_... | code_fim | easy | {
"lang": "python",
"repo": "gianacuratemedia/acurate_sistemas2",
"path": "/knowtured/Selecciona_k/serializers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Selecciona
fields = ('pk','categoria')<|fim_prefix|># repo: gianacuratemedia/acurate_sistemas2 path: /knowtured/Selecciona_k/serializers.py
from rest_framework import serializers
from .models import Selecciona
class SeleccionaSerializer(serializers.ModelSerializer):
<|fim_mi... | code_fim | easy | {
"lang": "python",
"repo": "gianacuratemedia/acurate_sistemas2",
"path": "/knowtured/Selecciona_k/serializers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def validate_only_country_drop_down_visible(self):
assert (not self.browser.find_by_id('id_organization').visible)
assert (not self.browser.find_by_id('id_region').visible)
assert (self.browser.is_element_present_by_id('id_country'))<|fim_prefix|># repo: eJRF/ejrf path: /quest... | code_fim | hard | {
"lang": "python",
"repo": "eJRF/ejrf",
"path": "/questionnaire/features/pages/users.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eJRF/ejrf path: /questionnaire/features/pages/users.py
from lettuce import world
from questionnaire.features.pages.base import PageObject
from questionnaire.features.pages.home import HomePage
class LoginPage(PageObject):
url = "/accounts/login/"
def login(self, user, password):
... | code_fim | medium | {
"lang": "python",
"repo": "eJRF/ejrf",
"path": "/questionnaire/features/pages/users.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> details = {'username': user.username,
'password': password,}
self.browser.fill_form(details)
self.submit()
def links_present_by_text(self, links_text):
for text in links_text:
assert self.browser.find_link_by_text(text)
class UserListin... | code_fim | medium | {
"lang": "python",
"repo": "eJRF/ejrf",
"path": "/questionnaire/features/pages/users.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class StudentAdmin(admin.ModelAdmin):
list_display = ('user',)
search_fields = ('id', 'user__username')
ordering = ['user']
admin.site.register(Student, StudentAdmin)
class AnswerInline(admin.StackedInline):
model = Answer
@admin.register(Question)
class QuestionAdmin(admin.ModelAdm... | code_fim | hard | {
"lang": "python",
"repo": "FormedFlow/eer",
"path": "/main/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FormedFlow/eer path: /main/admin.py
from django.contrib import admin
# Register your models here.
from .models import *
class ProgressAdmin(admin.ModelAdmin):
list_display = ('student', 'question', 'right')
search_fields = ('student__user__username', 'question__text')
admin.site.reg... | code_fim | medium | {
"lang": "python",
"repo": "FormedFlow/eer",
"path": "/main/admin.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Answer
@admin.register(Question)
class QuestionAdmin(admin.ModelAdmin):
inlines = [
AnswerInline,
]
list_display = ('text', 'type', 'lesson')
search_fields = ('text', 'lesson__title', 'type')
# ordering = ['text', 'type']<|fim_prefix|># repo: FormedFlow/eer path... | code_fim | hard | {
"lang": "python",
"repo": "FormedFlow/eer",
"path": "/main/admin.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hhwxxx/mask_regression path: /dataset_tools/set_order.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import shutil
import ast
import pandas as pd
import numpy as np
CSV_PATH = '/data/mask/mask_data/quadrilateral_2'
SAVE... | code_fim | hard | {
"lang": "python",
"repo": "hhwxxx/mask_regression",
"path": "/dataset_tools/set_order.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # set the order of quadrilaterals.
if len(top_left_height) > 1:
height_list = list(zip(top_left_height, top_right_height))
width_list = list(zip(top_left_width, bottom_left_width))
threshold = 20
"""
if min(height_list[0]) > min(... | code_fim | hard | {
"lang": "python",
"repo": "hhwxxx/mask_regression",
"path": "/dataset_tools/set_order.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#myecube = pi3d.EnvironmentCube(900.0,"HALFCROSS")
ectex=pi3d.loadECfiles("textures/ecubes","sbox")
myecube = pi3d.EnvironmentCube(size=900.0, maptype="FACES", name="cube")
myecube.set_draw_details(flatsh, ectex)
# Create elevation map
mapsize = 1000.0
mapheight = 60.0
mountimg1 = pi3d.Texture("t... | code_fim | hard | {
"lang": "python",
"repo": "talhaibnaziz/projects",
"path": "/pi3ddemos/ForestStereo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Display scene and rotate cuboid
while DISPLAY.loop_running():
l_or_k_pressed = False # to stop routine camera movement for cases where l or k pressed
#Press ESCAPE to terminate
k = mykeys.read()
if k >-1: # or buttons > mymouse.BUTTON_UP:
dx, dy, dz = CAMERA.get_direction()
if k =... | code_fim | hard | {
"lang": "python",
"repo": "talhaibnaziz/projects",
"path": "/pi3ddemos/ForestStereo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zlyuzhi/C2B path: /Buybuybuy/Buybuybuy/apps/users/views.py
from django.shortcuts import render
# Create your views here.
from rest_framework.generics import GenericAPIView
from rest_framework.views import APIView
class SMSCodeView(APIView):
<|fim_suffix|> pass
class SMSCodeView(GenericA... | code_fim | easy | {
"lang": "python",
"repo": "zlyuzhi/C2B",
"path": "/Buybuybuy/Buybuybuy/apps/users/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get(self,request,mobile):
pass
class SMSCodeView(GenericAPIView):
pass<|fim_prefix|># repo: zlyuzhi/C2B path: /Buybuybuy/Buybuybuy/apps/users/views.py
from django.shortcuts import render
<|fim_middle|># Create your views here.
from rest_framework.generics import GenericAPIView
from r... | code_fim | medium | {
"lang": "python",
"repo": "zlyuzhi/C2B",
"path": "/Buybuybuy/Buybuybuy/apps/users/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pershint/ANNIEGridControl path: /lib/TextSweeper.py
import json
import glob
import os
import ArgParser as ap
class TextSweeper(object):
'''
Class for replacing text in text files in different ways.
Input:
scandict (dictionary)
Dictionary used to inform what text to replace i... | code_fim | hard | {
"lang": "python",
"repo": "pershint/ANNIEGridControl",
"path": "/lib/TextSweeper.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def OpenJSON(self,loc):
with open(loc,"r") as f:
self.scandict = json.load(loc)
print("SCANDICT IS: " + str(self.scandict))
def ReplaceInFile(self,infile,outfile):
'''Given an input file, open the file and replace any keys in
the scandict object wit... | code_fim | hard | {
"lang": "python",
"repo": "pershint/ANNIEGridControl",
"path": "/lib/TextSweeper.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>try:
GameLoop()
except KeyboardInterrupt: # If CTRL+C is pressed, exit cleanly:
print ("\t\tGoodbye\n")<|fim_prefix|># repo: TakezoCan/rpgGame path: /Takezo_RPG/battle_test.py
import random
import time
from utilities import util
from Characters import get_name
from Characters import weapons
f... | code_fim | hard | {
"lang": "python",
"repo": "TakezoCan/rpgGame",
"path": "/Takezo_RPG/battle_test.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TakezoCan/rpgGame path: /Takezo_RPG/battle_test.py
import random
import time
from utilities import util
from Characters import get_name
from Characters import weapons
from Characters import player
from Story import battle1
from Story import battle2
def GameLoop():
<|fim_suffix|>try:
GameLo... | code_fim | hard | {
"lang": "python",
"repo": "TakezoCan/rpgGame",
"path": "/Takezo_RPG/battle_test.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: toufiqur-rahman/strativ_task path: /core/migrations/0003_alter_language_iso639_1.py
from django.db import migrations, models
<|fim_suffix|> dependencies = [
('core', '0002_remove_country_neighbouring'),
]
operations = [
migrations.AlterField(
model_name='l... | code_fim | easy | {
"lang": "python",
"repo": "toufiqur-rahman/strativ_task",
"path": "/core/migrations/0003_alter_language_iso639_1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('core', '0002_remove_country_neighbouring'),
]
operations = [
migrations.AlterField(
model_name='language',
name='iso639_1',
field=models.CharField(max_length=2, null=True),
),
]<|fim_prefix|># repo: toufiqur-ra... | code_fim | easy | {
"lang": "python",
"repo": "toufiqur-rahman/strativ_task",
"path": "/core/migrations/0003_alter_language_iso639_1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='language',
name='iso639_1',
field=models.CharField(max_length=2, null=True),
),
]<|fim_prefix|># repo: toufiqur-rahman/strativ_task path: /core/migrations/0003_alter_language_iso639_1.py
from dja... | code_fim | medium | {
"lang": "python",
"repo": "toufiqur-rahman/strativ_task",
"path": "/core/migrations/0003_alter_language_iso639_1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TAJD/workout_app path: /utils.py
import numpy as np
import pandas as pd
import datetime as dt
def excel_to_csv_tables() -> None:
# handle the absence of the excel file when uploaded to server
try:
workout_excel = pd.ExcelFile("workout.xlsx")
df_reps = workout_excel.parse... | code_fim | hard | {
"lang": "python",
"repo": "TAJD/workout_app",
"path": "/utils.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def weekly_total_table() -> pd.DataFrame:
df = prep_spreadsheet_data()
weekly_totals = quantity_per_week(df)
reshaped_weekly_totals = weekly_totals.pivot(
index="WeekStartDate", columns="Movement type", values="value"
)
return reshaped_weekly_totals
if __name__ == "__main__"... | code_fim | hard | {
"lang": "python",
"repo": "TAJD/workout_app",
"path": "/utils.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vasantteja/dummy-python-scripts path: /test3.py
#2.Find all such numbers divisible by 7, but not a multiple of 5, between 2000 and 3200 (inclusive). The numbers obtained should be printed on a single line in a comma-separated sequence.
"""
ipadress = input()
nodes = ipadress.split(".")
nodes.pop(... | code_fim | medium | {
"lang": "python",
"repo": "vasantteja/dummy-python-scripts",
"path": "/test3.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
words = input("Enter sequence of words separated by whitespace: ").split(' ')
words_set = set(words)
print(' '.join(sorted(words_set)))
#print(words_set)
"""<|fim_prefix|># repo: vasantteja/dummy-python-scripts path: /test3.py
#2.Find all such numbers divisible by 7, but not a multiple of 5, between ... | code_fim | hard | {
"lang": "python",
"repo": "vasantteja/dummy-python-scripts",
"path": "/test3.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>@views.route('/locations', methods=['POST'])
def handle_locations():
locs = request.json['locations']
num_clusters = request.json.get('clusters', None)
if not num_clusters:
num_clusters = 20
cluster_handler = ClusterCreator(
locs, num_clusters, current_app.config['MAPZEN_K... | code_fim | medium | {
"lang": "python",
"repo": "pjsier/canvass_cluster",
"path": "/canvass_cluster/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pjsier/canvass_cluster path: /canvass_cluster/views.py
from __future__ import absolute_import, print_function, unicode_literals
<|fim_suffix|> return render_template('index.html')
@views.route('/locations', methods=['POST'])
def handle_locations():
locs = request.json['locations']
n... | code_fim | hard | {
"lang": "python",
"repo": "pjsier/canvass_cluster",
"path": "/canvass_cluster/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> locs = request.json['locations']
num_clusters = request.json.get('clusters', None)
if not num_clusters:
num_clusters = 20
cluster_handler = ClusterCreator(
locs, num_clusters, current_app.config['MAPZEN_KEY']
)
return json.dumps({'locations': cluster_handler()})<|... | code_fim | medium | {
"lang": "python",
"repo": "pjsier/canvass_cluster",
"path": "/canvass_cluster/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_middlewares(self):
return [import_string(middleware)() for middleware in settings.MIDDLEWARE]
def __init__(self):
super(App, self).__init__(
middleware=self.get_middlewares()
)
self.add_routes()<|fim_prefix|># repo: ezdookie/mashina path: /mash... | code_fim | medium | {
"lang": "python",
"repo": "ezdookie/mashina",
"path": "/mashina/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ezdookie/mashina path: /mashina/app.py
import falcon
from mashina.config import settings
from mashina.routing import root_routes
from mashina.utils.misc import import_string
<|fim_suffix|> def __init__(self):
super(App, self).__init__(
middleware=self.get_middlewares()
... | code_fim | hard | {
"lang": "python",
"repo": "ezdookie/mashina",
"path": "/mashina/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return [import_string(middleware)() for middleware in settings.MIDDLEWARE]
def __init__(self):
super(App, self).__init__(
middleware=self.get_middlewares()
)
self.add_routes()<|fim_prefix|># repo: ezdookie/mashina path: /mashina/app.py
import falcon
from ... | code_fim | medium | {
"lang": "python",
"repo": "ezdookie/mashina",
"path": "/mashina/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def convert_to_list(num_list_str):
# Modify the code below
return []<|fim_prefix|># repo: alphatrl/IS111 path: /Lab Tests/2018.2 Lab Test/Original/q5.py
# If needed, you can define your own additional functions here.
# Start of your additional functions.
<|fim_middle|>
# End of your additi... | code_fim | easy | {
"lang": "python",
"repo": "alphatrl/IS111",
"path": "/Lab Tests/2018.2 Lab Test/Original/q5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alphatrl/IS111 path: /Lab Tests/2018.2 Lab Test/Original/q5.py
# If needed, you can define your own additional functions here.
# Start of your additional functions.
<|fim_suffix|> # Modify the code below
return []<|fim_middle|>
# End of your additional functions.
def convert_to_li... | code_fim | medium | {
"lang": "python",
"repo": "alphatrl/IS111",
"path": "/Lab Tests/2018.2 Lab Test/Original/q5.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.rect.x += self.vx
self.vy += self.dy
if self.vy>3 or self.vy <-3 :
self.dy *= -1
center = self.rect.center
if self.dy < 0:
self.image = self.image_up
else:
self.image = self.image_down
self.rect = self.imag... | code_fim | hard | {
"lang": "python",
"repo": "jonaslindemann/coderdojo_pygame",
"path": "/jumpy_game/sprites.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jonaslindemann/coderdojo_pygame path: /jumpy_game/sprites.py
import pygame as pg
from random import choice, randrange
from settings import *
from game import *
class Player(GameSprite):
def __init__(self, game):
GameSprite.__init__(self, game, [game.all_sprites], layer=PLAYER_LAYER)... | code_fim | hard | {
"lang": "python",
"repo": "jonaslindemann/coderdojo_pygame",
"path": "/jumpy_game/sprites.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.rect.y += 2
hits = pg.sprite.spritecollide(self, self.game.platforms, False)
self.rect.y -= 2
if hits and not self.jumping:
print("play sound")
self.game.jump_sound.play()
self.jumping = True
self.vel.y = -PLAYER_JUMP_VE... | code_fim | hard | {
"lang": "python",
"repo": "jonaslindemann/coderdojo_pygame",
"path": "/jumpy_game/sprites.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yjchess/InterpretedLanguage path: /Week 2/Token.py
"""
Token class
Tokens each have a type, a lexeme and line.
The type tells us what type this token is. This is a TokenType object.
The lexeme is the set of characters that make up this token. This will typically be a string or character.
The line... | code_fim | hard | {
"lang": "python",
"repo": "yjchess/InterpretedLanguage",
"path": "/Week 2/Token.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Overriding __str__ to allow nicer printing of tokens for debugging
# __str__ is called whenever you print this object : print(Token)
def __str__(self):
return "<'{}', {}>".format(self.__lexeme, self.__type)<|fim_prefix|># repo: yjchess/InterpretedLanguage path: /Week 2/Token.py
"""
... | code_fim | medium | {
"lang": "python",
"repo": "yjchess/InterpretedLanguage",
"path": "/Week 2/Token.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rodrigocaus/acoustic_modem path: /src/modulation.py
'''
Script for FSK modulation
Frequency modulation based on digital or binary information
'''
import numpy as np
import matplotlib.pyplot as plt
import sounddevice as sd
from scipy.io import wavfile
def stringToBits(string: str) ... | code_fim | hard | {
"lang": "python",
"repo": "rodrigocaus/acoustic_modem",
"path": "/src/modulation.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> time_end = len(bitwave)/Fs
t = np.linspace(0.0, time_end, len(bitwave))
fsk = np.sin(2.0*np.pi*(f0 + df*bitwave)*t)
return [t, fsk]
def playSound(t, Fs=44100):
sd.play(t, Fs)
def sincronizeMessage(s: str, INIT_STREAM='2wLQTcNgiXyP<{', END_STREAM='}>ggIVZMbi09VM') -> str:
# colo... | code_fim | hard | {
"lang": "python",
"repo": "rodrigocaus/acoustic_modem",
"path": "/src/modulation.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open('hello.py', 'rb+') as f:
content = f.read()
f.seek(0)
f.write(content.replace(b'\r', b''))
f.truncate()<|fim_prefix|># repo: YuhangMing/FCP-solutions path: /worksheet1/remove-cr.py
'''
The script contains CR (carriage return) characters.
The shell interprets these CR character... | code_fim | hard | {
"lang": "python",
"repo": "YuhangMing/FCP-solutions",
"path": "/worksheet1/remove-cr.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YuhangMing/FCP-solutions path: /worksheet1/remove-cr.py
'''
The script contains CR (carriage return) characters.
The shell interprets these CR characters as arguments.
Solution: Remove the CR characters from the script using the following script.
Why this happened: Windows use CR, LF for line e... | code_fim | medium | {
"lang": "python",
"repo": "YuhangMing/FCP-solutions",
"path": "/worksheet1/remove-cr.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FellowCode/SmartHome path: /Account/migrations/0008_auto_20190520_2046.py
# Generated by Django 2.2 on 2019-05-20 10:46
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='extend... | code_fim | hard | {
"lang": "python",
"repo": "FellowCode/SmartHome",
"path": "/Account/migrations/0008_auto_20190520_2046.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='extendeduser',
name='api_key',
field=models.CharField(default='SjyL2w6z7z', max_length=32, unique=True),
),
migrations.AlterField(
model_name='extendeduser',
name='rest... | code_fim | hard | {
"lang": "python",
"repo": "FellowCode/SmartHome",
"path": "/Account/migrations/0008_auto_20190520_2046.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># # # Writes artifactory results to temp directory
# # with open(local_path, "wb") as f:
# # for chunk in r.iter_content(chunk_size=512):
# # if chunk:
# # f.write(chunk)
# service_path = os.path.join(tmpdir, "yaml")
# # print(service_path)
# local_... | code_fim | hard | {
"lang": "python",
"repo": "abhishekvaranasi/bq-project",
"path": "/directory_search.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abhishekvaranasi/bq-project path: /directory_search.py
import os
import tempfile
import shutil
import os
import zipfile
import tarfile
from contextlib import contextmanager
import requests
ARTIFACTORY_BASE_URL = "https://104.196.181.115/artifactory/libs-snapshot-local/com/globalpayments/business... | code_fim | hard | {
"lang": "python",
"repo": "abhishekvaranasi/bq-project",
"path": "/directory_search.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># service_path = os.path.join(tmpdir, "yaml")
# # print(service_path)
# local_path = os.path.join(os.getcwd(), "BQTableYamlFile_94.tar")
# # print(local_path)
# tar = tarfile.open(local_path)
# tar.extractall(service_path)
# # print(os.listdir(service_path))
# # service_archiv... | code_fim | hard | {
"lang": "python",
"repo": "abhishekvaranasi/bq-project",
"path": "/directory_search.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jinurajan/Datastructures path: /LeetCode/mock_interviews/fraction_to_recurring_decimal.py
"""
Fraction to Recurring Decimal
Given two integers representing the numerator and denominator of a fraction, return the fraction in string format.
If the fractional part is repeating, enclose the repeati... | code_fim | hard | {
"lang": "python",
"repo": "jinurajan/Datastructures",
"path": "/LeetCode/mock_interviews/fraction_to_recurring_decimal.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>Constraints:
-231 <= numerator, denominator <= 231 - 1
denominator != 0
"""
class Solution:
def fractionToDecimal(self, numerator: int, denominator: int) -> str:
import pdb; pdb.set_trace()
sign = '+'
if (numerator < 0 and denominator > 0) or (numerator > 0 and denominator <... | code_fim | hard | {
"lang": "python",
"repo": "jinurajan/Datastructures",
"path": "/LeetCode/mock_interviews/fraction_to_recurring_decimal.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> inputs=tf.keras.layers.Input(shape=(224, 224, 3))
augmented_layer=data_augmentetion(inputs)
x=base_model(augmented_layer, training=False)
pool_layer_1=tf.keras.layers.GlobalMaxPooling2D()(x)
pool_layer_2=tf.keras.layers.Glo... | code_fim | hard | {
"lang": "python",
"repo": "rohitkumar9989/ToolBox-MachineLearning",
"path": "/learning_curve.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> history=model.fit(data, epochs=1, steps_per_epoch=len(data), callbacks=[tf.keras.callbacks.LearningRateScheduler(lambda epochs: 1e-4*10**(epochs/200)),
tf.keras.callbacks.ModelCh... | code_fim | hard | {
"lang": "python",
"repo": "rohitkumar9989/ToolBox-MachineLearning",
"path": "/learning_curve.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rohitkumar9989/ToolBox-MachineLearning path: /learning_curve.py
"""Explore learning curves for classification of handwritten digits"""
import matplotlib.pyplot as plt
import numpy
from sklearn.datasets import *
from sklearn.model_selection import train_test_split
from sklearn.linear_model import... | code_fim | hard | {
"lang": "python",
"repo": "rohitkumar9989/ToolBox-MachineLearning",
"path": "/learning_curve.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> my_world_coordinates = np.matmul(R, cam_world_coordinates[0]) + d
round_my_world_coor = [int(round(my_world_coordinates[0])), int(round(my_world_coordinates[1])), int(round(my_world_coordinates[2]))]
print("Fire Location: ", colored(round_my_world_coor, 'red'), "\n")
... | code_fim | hard | {
"lang": "python",
"repo": "jhaojay/Fire-Tracking-Extinguisher",
"path": "/AILocateFire.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|># pre-loading fire_net
detector = CustomObjectDetection()
detector.setModelTypeAsYOLOv3()
detector.setModelPath(detection_model_path=os.path.join(execution_path, "detection_model-ex-33--loss-4.97.h5"))
detector.setJsonPath(configuration_json=os.path.join(execution_path, "detection_config.json"))
dete... | code_fim | hard | {
"lang": "python",
"repo": "jhaojay/Fire-Tracking-Extinguisher",
"path": "/AILocateFire.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jhaojay/Fire-Tracking-Extinguisher path: /AILocateFire.py
import serial
import cv2
import time
import os
import shutil
import numpy as np
import matlab.engine
from termcolor import colored
# define the countdown func.
def countdown(t):
while t:
mins, secs = divmod(t, ... | code_fim | hard | {
"lang": "python",
"repo": "jhaojay/Fire-Tracking-Extinguisher",
"path": "/AILocateFire.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fangchuan/PAM path: /PASMnet/finetune.py
from models.PASMnet import *
from datasets.kitti_dataset import KITTIDataset
from torch.utils.data import DataLoader
import torch.backends.cudnn as cudnn
from utils import *
import argparse
from loss import *
def parse_args():
parser = argparse.Argum... | code_fim | hard | {
"lang": "python",
"repo": "fangchuan/PAM",
"path": "/PASMnet/finetune.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> loss_epoch = []
EPE_epoch = []
D3_epoch = []
def main(cfg):
if cfg.dataset == 'KITTI2012':
train_set = KITTIDataset(datapath=cfg.datapath, list_filename='filenames/kitti12_train.txt', training=True)
if cfg.dataset == 'KITTI2015':
train_set = KI... | code_fim | hard | {
"lang": "python",
"repo": "fangchuan/PAM",
"path": "/PASMnet/finetune.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> # m365py also stores a cached state of received values
client.publish("ScooterM365", json.dumps(scooter.cached_state, indent=4, sort_keys=True), retain=True)
# Delay
time.sleep(10)
except:
print('Scooter not found or disconnected')<|fim_prefix|># repo: JaviElio/M3... | code_fim | hard | {
"lang": "python",
"repo": "JaviElio/M365toMQTT",
"path": "/M365toMQTT.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JaviElio/M365toMQTT path: /M365toMQTT.py
import json
import time
from m365py import m365py
from m365py import m365message
from paho.mqtt import client as mqtt_client
# MQTT
client = mqtt_client.Client('Raspi')
client.connect('192.168.xxx.xxx')
# M365
scooter_mac_address = 'XX:XX:XX:XX:XX:XX'
sc... | code_fim | hard | {
"lang": "python",
"repo": "JaviElio/M365toMQTT",
"path": "/M365toMQTT.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> total_btn = Button(btn_F, command=self.total, text="Total", bg="cadetblue", fg="white", pady=15, bd=2, width=10,
font="arial 15 bold").grid(row=0, column=0, padx=5, pady=5)
GBill_btn = Button(btn_F, command=self.bill_area, text="Generate Bill", bg="cadetblue", ... | code_fim | hard | {
"lang": "python",
"repo": "habibulbasherpy/Billing-Software",
"path": "/Billing Software/bill.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.welcome_bill()
def total(self):
self.c_s_p = self.soap.get() * 40.5
self.c_fc_p = self.face_cream.get() * 120
self.c_fw_p = self.face_wash.get() * 60
self.c_hs_p = self.spray.get() * 180
self.c_hg_p = self.gell.get() * 140
self.c_bl... | code_fim | hard | {
"lang": "python",
"repo": "habibulbasherpy/Billing-Software",
"path": "/Billing Software/bill.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: habibulbasherpy/Billing-Software path: /Billing Software/bill.py
F2 = LabelFrame(self.root, bd=10, relief=GROOVE, text="Baby Care ", font=("times new roman", 15, "bold"),
fg="gold", bg=bd_color)
F2.place(x=5, y=180, width=320, height=380)
bath_lbl... | code_fim | hard | {
"lang": "python",
"repo": "habibulbasherpy/Billing-Software",
"path": "/Billing Software/bill.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jeffery75/moto path: /tests/test_ec2/test_key_pairs.py
from __future__ import unicode_literals
# Ensure 'assert_raises' context manager support for Python 2.6
import tests.backport_assert_raises
from nose.tools import assert_raises
import boto
import six
import sure # noqa
from boto.exception ... | code_fim | hard | {
"lang": "python",
"repo": "jeffery75/moto",
"path": "/tests/test_ec2/test_key_pairs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> conn = boto.connect_ec2('the_key', 'the_secret')
_ = conn.create_key_pair('kpfltr1')
kp2 = conn.create_key_pair('kpfltr2')
kp3 = conn.create_key_pair('kpfltr3')
kp_by_name = conn.get_all_key_pairs(
filters={'key-name': 'kpfltr2'})
set([kp.name for kp in kp_by_name]
... | code_fim | hard | {
"lang": "python",
"repo": "jeffery75/moto",
"path": "/tests/test_ec2/test_key_pairs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> conn = boto.connect_ec2('the_key', 'the_secret')
assert len(conn.get_all_key_pairs()) == 0
r = conn.delete_key_pair('foo')
r.should.be.ok
@mock_ec2_deprecated
def test_key_pairs_delete_exist():
conn = boto.connect_ec2('the_key', 'the_secret')
conn.create_key_pair('foo')
with... | code_fim | hard | {
"lang": "python",
"repo": "jeffery75/moto",
"path": "/tests/test_ec2/test_key_pairs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>bc.entropy(1), bc.get_prob([1]))
for k in range(bid.N + 1):
print(k, bid.num_strings({1: k}))
# %%<|fim_prefix|># repo: hithisisdhara/statistical_ML- path: /ch4/unit_tests.py
#%%
from scipy.special import comb
from utils import *
#%%
bid = binary_iid([1, 0], bern(0.2), 10)
print(bid.num_strings({0: ... | code_fim | medium | {
"lang": "python",
"repo": "hithisisdhara/statistical_ML-",
"path": "/ch4/unit_tests.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hithisisdhara/statistical_ML- path: /ch4/unit_tests.py
#%%
from scipy.special import comb
from utils import *
#%%
bid = binary_iid([1, 0], bern(0.2), 10)
pri<|fim_suffix|>bc.entropy(1), bc.get_prob([1]))
for k in range(bid.N + 1):
print(k, bid.num_strings({1: k}))
# %%<|fim_middle|>nt(bid.nu... | code_fim | hard | {
"lang": "python",
"repo": "hithisisdhara/statistical_ML-",
"path": "/ch4/unit_tests.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
super().__init__(name="Giant Spider",hp =10, damage =2)
class Ogre(Enemy):
def __init__(self):
super().__init__(name="Ogre",hp=30,damage=15)<|fim_prefix|># repo: smkmth/exampletextadv path: /enemies.py
class Enemy(object):
def__init__(self,name,hp,damag... | code_fim | easy | {
"lang": "python",
"repo": "smkmth/exampletextadv",
"path": "/enemies.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smkmth/exampletextadv path: /enemies.py
class Enemy(object):
def__init__(self,name,hp,damage):
self.name = name
self.hp = hp
self.damage= damage
<|fim_suffix|> return self.hp > 0
class GiantSpider(Enemy):
def __init__(self):
super().__init__(nam... | code_fim | easy | {
"lang": "python",
"repo": "smkmth/exampletextadv",
"path": "/enemies.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__(name="Giant Spider",hp =10, damage =2)
class Ogre(Enemy):
def __init__(self):
super().__init__(name="Ogre",hp=30,damage=15)<|fim_prefix|># repo: smkmth/exampletextadv path: /enemies.py
class Enemy(object):
def__init__(self,name,hp,damage):
self.name = n... | code_fim | easy | {
"lang": "python",
"repo": "smkmth/exampletextadv",
"path": "/enemies.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> for category in ip.iterdir():
print("Copying category: {}".format(category.as_posix()).ljust(50), end='')
train_imgs = 0
validation_imgs = 0
for img in category.iterdir():
if random.random() < percent:
output_img = op / 'train' / category.nam... | code_fim | hard | {
"lang": "python",
"repo": "MindReadersTeam/ImageAnalysisProject",
"path": "/backend/img_spliting.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> shutil.copy(img.as_posix(), output_img.as_posix())
print("=> train({}), validation({})".format(train_imgs, validation_imgs))
if __name__ == '__main__':
process_dir('imgs/processed', 'imgs/splitted')<|fim_prefix|># repo: MindReadersTeam/ImageAnalysisProject path: /backend/img_spli... | code_fim | hard | {
"lang": "python",
"repo": "MindReadersTeam/ImageAnalysisProject",
"path": "/backend/img_spliting.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MindReadersTeam/ImageAnalysisProject path: /backend/img_spliting.py
# /usr/bin/env python3
from pathlib import Path
import random
import shutil
def process_dir(input_dir, output_dir, percent = 0.7):
ip = Path(input_dir)
op = Path(output_dir)
<|fim_suffix|> for category in ip.iterdi... | code_fim | hard | {
"lang": "python",
"repo": "MindReadersTeam/ImageAnalysisProject",
"path": "/backend/img_spliting.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#POST
requests.post("http://localhost:5000",json={"name":"Bob"})<|fim_prefix|># repo: hrvwnd/flask-get-post path: /request1.py
from flask import Flask
import requests
<|fim_middle|>#GET
response = requests.get("http://localhost:5000")
print (response.text)
| code_fim | medium | {
"lang": "python",
"repo": "hrvwnd/flask-get-post",
"path": "/request1.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hrvwnd/flask-get-post path: /request1.py
from flask import Flask
import requests
<|fim_suffix|>#POST
requests.post("http://localhost:5000",json={"name":"Bob"})<|fim_middle|>#GET
response = requests.get("http://localhost:5000")
print (response.text)
| code_fim | medium | {
"lang": "python",
"repo": "hrvwnd/flask-get-post",
"path": "/request1.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='user',
name='sex',
field=models.TextField(default='', max_length=4),
),
]<|fim_prefix|># repo: RoderickShen/AR-Guide path: /Scripts_Django/myProject/myApp/migrations/0012_auto_20180410_0751.py
# ... | code_fim | medium | {
"lang": "python",
"repo": "RoderickShen/AR-Guide",
"path": "/Scripts_Django/myProject/myApp/migrations/0012_auto_20180410_0751.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RoderickShen/AR-Guide path: /Scripts_Django/myProject/myApp/migrations/0012_auto_20180410_0751.py
# Generated by Django 2.0.3 on 2018-04-10 07:51
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('myApp', '0011_auto_20180410_0741'),
]
operations = [
... | code_fim | easy | {
"lang": "python",
"repo": "RoderickShen/AR-Guide",
"path": "/Scripts_Django/myProject/myApp/migrations/0012_auto_20180410_0751.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
('accounts', '0005_auto_20200523_2248'),
]
operations = [
migrations.CreateModel(
name='Logins',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
... | code_fim | hard | {
"lang": "python",
"repo": "leorrose/B7Fun",
"path": "/B7FunDjango/accounts/migrations/0006_logins.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leorrose/B7Fun path: /B7FunDjango/accounts/migrations/0006_logins.py
# Generated by Django 2.2.11 on 2020-05-25 16:24
from django.db import migrations, models
<|fim_suffix|>
dependencies = [
('accounts', '0005_auto_20200523_2248'),
]
operations = [
migrations.Creat... | code_fim | hard | {
"lang": "python",
"repo": "leorrose/B7Fun",
"path": "/B7FunDjango/accounts/migrations/0006_logins.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('accounts', '0005_auto_20200523_2248'),
]
operations = [
migrations.CreateModel(
name='Logins',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
... | code_fim | hard | {
"lang": "python",
"repo": "leorrose/B7Fun",
"path": "/B7FunDjango/accounts/migrations/0006_logins.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> with pkunit.save_chdir_work() as d:
for f in files:
actual = SDDSUtil(str(pkunit.data_dir().join(f))).lineplot(
PKDict(
model=PKDict(
x="s",
y1="LinearDensity",
y2="LinearDen... | code_fim | hard | {
"lang": "python",
"repo": "radiasoft/sirepo",
"path": "/tests/template/sdds_util_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: radiasoft/sirepo path: /tests/template/sdds_util_test.py
# -*- coding: utf-8 -*-
"""Test for :mod:`sirepo.template.sdds_util`
:copyright: Copyright (c) 2023 RadiaSoft LLC. All Rights Reserved.
:license: http://www.apache.org/licenses/LICENSE-2.0.html
"""
<|fim_suffix|> from pykern.pkcollec... | code_fim | hard | {
"lang": "python",
"repo": "radiasoft/sirepo",
"path": "/tests/template/sdds_util_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return RssInput(f"http://www.obsrv.com/General/ImageFeed.aspx?{self.query}",
lambda x: FileData(None, x["media_content"][0]["url"], False))
@property
def pipeline(self) -> List[Union[Pipe, Callable[[APData], Union[APData, Pipe]]]]:
return [Output(DownloaderPipe())]<|fim_prefix|># ... | code_fim | medium | {
"lang": "python",
"repo": "mfkiwl/Autopipe",
"path": "/autopipe/coordinators/download_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "DownloadExample"
@property
def input(self):
return RssInput(f"http://www.obsrv.com/General/ImageFeed.aspx?{self.query}",
lambda x: FileData(None, x["media_content"][0]["url"], False))
@property
def pipeline(self) -> List[Union[Pipe, Callable[[APData], Union[APData, Pipe... | code_fim | medium | {
"lang": "python",
"repo": "mfkiwl/Autopipe",
"path": "/autopipe/coordinators/download_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mfkiwl/Autopipe path: /autopipe/coordinators/download_example.py
from typing import List, Union, Callable
from autopipe import Coordinator, Pipe, APData, Output
from autopipe.input import RssInput
from autopipe.pipe import FileData, DownloaderPipe
<|fim_suffix|> def __init__(self, query: str = "... | code_fim | medium | {
"lang": "python",
"repo": "mfkiwl/Autopipe",
"path": "/autopipe/coordinators/download_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
This fixture is for Ios Data Collection set up :
- Get driver instance
- Get FlowContainer instance
- Install latest Ios Data Collection app
"""
driver = session_setup
fc = FlowContainer(driver)
return driver, fc<|fim_prefix|># repo: Amal548/QAMA path: ... | code_fim | medium | {
"lang": "python",
"repo": "Amal548/QAMA",
"path": "/tests/ios/jweb_data_collection/conftest.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Amal548/QAMA path: /tests/ios/jweb_data_collection/conftest.py
import pytest
from MobileApps.libs.flows.ios.jweb_data_collection.flow_container import FlowContainer
<|fim_suffix|> """
This fixture is for Ios Data Collection set up :
- Get driver instance
- Get FlowContaine... | code_fim | medium | {
"lang": "python",
"repo": "Amal548/QAMA",
"path": "/tests/ios/jweb_data_collection/conftest.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
page.locator("#mat-select-value-9").click()
page.get_by_text("中国").click()
page.locator("#mat-select-value-7").click()
if data.sex == 1:
page.get_by_text("男性").click()
else:
page.get_by_text("女性").click()
page.locator("app-ngb-datepicker").filter(has_text="出生... | code_fim | hard | {
"lang": "python",
"repo": "Awaken0406/test_project",
"path": "/V3/auto_fill.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Awaken0406/test_project path: /V3/auto_fill.py
from playwright.sync_api import Page
import time
class CAccountClass:
def __init__(self):
self.sexual = ''
self.name = ''
self.sex = ''
self.phone = ''
self.mail = ''
self.passport = ''
self.start = ''
self.en... | code_fim | hard | {
"lang": "python",
"repo": "Awaken0406/test_project",
"path": "/V3/auto_fill.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MinhBuiQuang/Face-Recognition-with-Transfer-Learning-Simple- path: /create_dateset.py
import cv2
import numpy as np
import os
import pickle
#import matplotlib.pyplot as plt
from mtcnn.mtcnn import MTCNN
from sklearn.preprocessing import LabelEncoder
#from keras.utils import to_categorical
import ... | code_fim | hard | {
"lang": "python",
"repo": "MinhBuiQuang/Face-Recognition-with-Transfer-Learning-Simple-",
"path": "/create_dateset.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('Extracting faces from dataset')
count = 0
labels_dic = {}
image_path = 'FaceData/'
people = [person for person in os.listdir(image_path)]
count = 0
for i, person in enumerate(people):
labels_dic[i] = person
dir = 'faceimg/{}'.format(person)
if ... | code_fim | hard | {
"lang": "python",
"repo": "MinhBuiQuang/Face-Recognition-with-Transfer-Learning-Simple-",
"path": "/create_dateset.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|> #Comment this line if you've already got cutted face images.
gen_dataset(args.image_path)
face_images, labels, labels_dic = collect_dataset(args.output_face)
encoder = LabelEncoder()
encoder.fit(labels)
encoded_labels = encoder.transform(labels)
#encoded_labels = to_catego... | code_fim | hard | {
"lang": "python",
"repo": "MinhBuiQuang/Face-Recognition-with-Transfer-Learning-Simple-",
"path": "/create_dateset.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: recuraki/PythonJunkTest path: /atcoder/lib/field2D/radian.py
# 0,0 を中心とするあるx, y があたえられたときの角度を求める
# <|fim_suffix|>cosだけを使うと、180度を超えるものが求められないので注意
# あるn角形があったとき、ある点と点の角度の差は360/n
import math<|fim_middle|>★y,xの順番に注意
# math.atan2(y, x)
# asin, a | code_fim | easy | {
"lang": "python",
"repo": "recuraki/PythonJunkTest",
"path": "/atcoder/lib/field2D/radian.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>形があったとき、ある点と点の角度の差は360/n
import math<|fim_prefix|># repo: recuraki/PythonJunkTest path: /atcoder/lib/field2D/radian.py
# 0,0 を中心とするあるx, y があたえられたときの角度を求める
# ★y,xの順番に注意
# math.atan2(y, x)
# asin, a<|fim_middle|>cosだけを使うと、180度を超えるものが求められないので注意
# あるn角 | code_fim | easy | {
"lang": "python",
"repo": "recuraki/PythonJunkTest",
"path": "/atcoder/lib/field2D/radian.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DB1929/scik-learn-learn-Chinese-text-classider path: /navibayers.py
#encoding:utf-8
import os
import sys
import pickle
import numpy as np
from sklearn.naive_bayes import MultinomialNB
import textprocess
from sklearn import metrics
reload(sys)
sys.setdefaultencoding('utf-8')
tp = textprocess.Textp... | code_fim | hard | {
"lang": "python",
"repo": "DB1929/scik-learn-learn-Chinese-text-classider",
"path": "/navibayers.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_suffix|>#预测分类结果
predict_test = clf.predict(test_matrix)
for file_name,exp in zip(test_dir,predict_test):
print "测试文件名：",file_name,"实际类别：",category[category_index],"预测类别：",tp.word_weight_bag.target_name[exp]
actual = np.array(actual)
m_precision = metrics.accuracy_score(actual,predict_test)
print "准确率：",m_pre... | code_fim | hard | {
"lang": "python",
"repo": "DB1929/scik-learn-learn-Chinese-text-classider",
"path": "/navibayers.py",
"mode": "spm",
"license": "unknown",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shaolinjr/machineLearning path: /classifica_buscas.py
import pandas as pd
from sklearn.naive_bayes import MultinomialNB
from collections import Counter
# usando pandas para facilitar organizacao dos dados
df = pd.read_csv('buscas.csv') # nosso DataFrame, nossa 'tabela' de dados
# Pegando e sep... | code_fim | hard | {
"lang": "python",
"repo": "shaolinjr/machineLearning",
"path": "/classifica_buscas.py",
"mode": "psm",
"license": "unknown",
"source": "the-stack-v2"
} |
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