text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> return self.ip_request("metro_code")
def page_view(r, *args):
# Analytics
info = IPInfo(get_client_ip(r))
try:
if r.user.is_authenticated:
new_connection = UserClientConnection(
ip=get_client_ip(r),
... | code_fim | hard | {
"lang": "python",
"repo": "SmithJesko/volny-films",
"path": "/analytics/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tyc1922/seq2annotation path: /blackbox_tests/test_keras_train/serve_model_from_h5.py
from seq2annotation.server.tensorflow_keras_h5_inference import Infe<|fim_suffix|>kup_table.json')
result = inference.infer("看一下上海的天气。")
print(result)<|fim_middle|>rence
inference = Inference('./results/h5_mode... | code_fim | medium | {
"lang": "python",
"repo": "tyc1922/seq2annotation",
"path": "/blackbox_tests/test_keras_train/serve_model_from_h5.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>kup_table.json')
result = inference.infer("看一下上海的天气。")
print(result)<|fim_prefix|># repo: tyc1922/seq2annotation path: /blackbox_tests/test_keras_train/serve_model_from_h5.py
from seq2annotation.server.tensorflow_keras_h5_inference import Inference
inference = Inference('./results/h5_model/model.h5', '... | code_fim | medium | {
"lang": "python",
"repo": "tyc1922/seq2annotation",
"path": "/blackbox_tests/test_keras_train/serve_model_from_h5.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kksuresh25/Cancer-AI path: /Logistic Regression/log_tunehyperparameters.py
#import libraries
from sklearn.model_selection import GridSearchCV, StratifiedShuffleSplit, train_test_split
import numpy as np
import matplotlib.pyplot as plt
from imblearn.over_sampling import SMOTE
from svm_constructdat... | code_fim | hard | {
"lang": "python",
"repo": "kksuresh25/Cancer-AI",
"path": "/Logistic Regression/log_tunehyperparameters.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for score in scores:
print()
print("# Tuning hyper-parameters for %s" % score)
print()
clf = GridSearchCV(LogisticRegression(), tuned_parameters, cv=5,
scoring= score)
clf.fit(x_train_res,y_train_res)
print("Best parameters set found on development set:")
... | code_fim | hard | {
"lang": "python",
"repo": "kksuresh25/Cancer-AI",
"path": "/Logistic Regression/log_tunehyperparameters.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Find and output results for best parameters based on scoring metric
#Other metrics: 'accuracy','recall','precision','f1'
scores = ['roc_auc']
for score in scores:
print()
print("# Tuning hyper-parameters for %s" % score)
print()
clf = GridSearchCV(LogisticRegression(), tuned_parameters, ... | code_fim | hard | {
"lang": "python",
"repo": "kksuresh25/Cancer-AI",
"path": "/Logistic Regression/log_tunehyperparameters.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __getitem__(self, item):
return self._dependencies_[item]
def update(self, dep_env_info, pkg_name):
self._dependencies_[pkg_name] = dep_env_info
def merge_lists(seq1, seq2):
return [s for s in seq1 if s not in seq2] + seq2
# With vars if its set t... | code_fim | hard | {
"lang": "python",
"repo": "lasote/conan",
"path": "/conans/model/env_info.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class DepsEnvInfo(EnvInfo):
""" All the env info for a conanfile dependencies
"""
def __init__(self):
super(DepsEnvInfo, self).__init__()
self._dependencies_ = OrderedDict()
@property
def dependencies(self):
return self._dependencies_.items()
@property
... | code_fim | hard | {
"lang": "python",
"repo": "lasote/conan",
"path": "/conans/model/env_info.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lasote/conan path: /conans/model/env_info.py
import copy
import re
from collections import OrderedDict, defaultdict
from conans.errors import ConanException
from conans.util.log import logger
def unquote(text):
text = text.strip()
if len(text) > 1 and (text[0] == text[-1]) and text[0] ... | code_fim | hard | {
"lang": "python",
"repo": "lasote/conan",
"path": "/conans/model/env_info.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gocardless/gocardless-pro-python path: /tests/integration/payout_items_integration_test.py
# WARNING: Do not edit by hand, this file was generated by Crank:
#
# https://github.com/gocardless/crank
#
import json
import requests
import responses
from nose.tools import (
assert_equal,
assert... | code_fim | hard | {
"lang": "python",
"repo": "gocardless/gocardless-pro-python",
"path": "/tests/integration/payout_items_integration_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_502_payout_items_list_retries():
fixture = helpers.load_fixture('payout_items')['list']
with helpers.stub_502_then_response(fixture) as rsps:
response = helpers.client.payout_items.list(*fixture['url_params'])
assert_equal(2, len(rsps.calls))
assert_equal(rsps.calls[0].r... | code_fim | hard | {
"lang": "python",
"repo": "gocardless/gocardless-pro-python",
"path": "/tests/integration/payout_items_integration_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pauvrepetit/leetcode path: /others/剑指 Offer/45/main.py
from typing import List
class Solution:
<|fim_suffix|> length = 0
str_nums = []
for num in nums:
str_nums.append(str(num))
length = max(length, len(str(num)))
str_nums.sort(key=lambda x ... | code_fim | easy | {
"lang": "python",
"repo": "pauvrepetit/leetcode",
"path": "/others/剑指 Offer/45/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> length = 0
str_nums = []
for num in nums:
str_nums.append(str(num))
length = max(length, len(str(num)))
str_nums.sort(key=lambda x : [x + x + x[0] * (length - len(x))])
res = ""
for s in str_nums:
res += s
return r... | code_fim | easy | {
"lang": "python",
"repo": "pauvrepetit/leetcode",
"path": "/others/剑指 Offer/45/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AKuederle/python-WoLo path: /tests/example_objects.py
import wolo.log as log
import wolo.task as task
import wolo.parameters as parameters
def test_func(x):
return "this is a test"
example_log = []
example_log.append(log.TaskLog(index=[0], task_class="0", last_run_success=True))
sublog1 = [... | code_fim | medium | {
"lang": "python",
"repo": "AKuederle/python-WoLo",
"path": "/tests/example_objects.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def input(self):
test_input = parameters.Parameter("test_input", self.args[0])
return test_input
def run(self):
return "test_report"
def output(self):
test_output = parameters.Parameter("test_output", self.kwargs["kwarg"])
return test_output<|fim_prefi... | code_fim | hard | {
"lang": "python",
"repo": "AKuederle/python-WoLo",
"path": "/tests/example_objects.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
linked_list = LinkedList(None, None)
while True:
name = input(f'Name of patient ({EXIT} to quit): ')
if name == EXIT:
break
priority = int(input('Priority: '))
if linked_list.value is None:
linked_list.value = (name, priority)
else:
if linked_list.value[1] > priority:
... | code_fim | medium | {
"lang": "python",
"repo": "hsiaohan416/stancode",
"path": "/SC_projects/tree_and_linked_list/priority_queue_linked_list.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hsiaohan416/stancode path: /SC_projects/tree_and_linked_list/priority_queue_linked_list.py
"""
File: priority_queue.py
Name: Sharon
--------------------------
This file shows how to construct a linked list
from scratch and use it to implement a priority queue.
"""
<|fim_suffix|> self.value = ... | code_fim | medium | {
"lang": "python",
"repo": "hsiaohan416/stancode",
"path": "/SC_projects/tree_and_linked_list/priority_queue_linked_list.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
sourceDir = os.path.abspath('../txt')
dicodir = os.path.abspath('../dico/fr')
print("loading dico")
wordList = set([x.strip() for x in open(dicodir + "/fr.dic", "r", encoding="utf-16")])
print("dico loaded")
print(len(wordList))
filenames = glob.glob(sourceDir + "/*.txt")
filenames.sort(key=lambda x:in... | code_fim | hard | {
"lang": "python",
"repo": "stonecauldron/monetschuman",
"path": "/code/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stonecauldron/monetschuman path: /code/process.py
import glob
import os
import re
from collections import deque
import dateparser # $ pip import dateparser
headerReg = r"[0-9]+\. (.+) de (.+) à (.+)"
class Text:
def __init__(self, id, header, content):
self.id = id
contentLin... | code_fim | hard | {
"lang": "python",
"repo": "stonecauldron/monetschuman",
"path": "/code/process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("loading dico")
wordList = set([x.strip() for x in open(dicodir + "/fr.dic", "r", encoding="utf-16")])
print("dico loaded")
print(len(wordList))
filenames = glob.glob(sourceDir + "/*.txt")
filenames.sort(key=lambda x:int(os.path.basename(x).split('.')[0]))
data =[''.join([line for line in open(fnam... | code_fim | hard | {
"lang": "python",
"repo": "stonecauldron/monetschuman",
"path": "/code/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cryptomental/py-evm path: /eth/beacon/state_machines/configs.py
from typing import (
NamedTuple,
)
BeaconConfig = NamedTuple(
'BeaconConfig',
(
(<|fim_suffix|> ('CYCLE_LENGTH', int),
('MIN_COMMITTEE_SIZE', int),
('MIN_DYNASTY_LENGTH', int),
('SHARD_... | code_fim | medium | {
"lang": "python",
"repo": "cryptomental/py-evm",
"path": "/eth/beacon/state_machines/configs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ('SHARD_COUNT', int),
('SLOT_DURATION', int),
('SQRT_E_DROP_TIME', int),
)
)<|fim_prefix|># repo: cryptomental/py-evm path: /eth/beacon/state_machines/configs.py
from typing import (
NamedTuple,
)
BeaconConfig = NamedTuple(
'BeaconConfig',
(
('BASE_REWARD_Q... | code_fim | medium | {
"lang": "python",
"repo": "cryptomental/py-evm",
"path": "/eth/beacon/state_machines/configs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bopopescu/google-cloud-sdk path: /.install/.backup/platform/gsutil/gslib/tests/test_stat.py
# -*- coding: utf-8 -*-
#
# Copyright 2013 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lic... | code_fim | hard | {
"lang": "python",
"repo": "bopopescu/google-cloud-sdk",
"path": "/.install/.backup/platform/gsutil/gslib/tests/test_stat.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> object_uri = self.CreateObject(contents='z')
stdout = self.RunGsUtil(['stat', suri(object_uri)], return_stdout=True)
self.assertIn(object_uri.uri, stdout)
self.assertIn('Creation time:', stdout)
self.assertIn('Cache-Control:', stdout)
self.assertIn('Content-Encoding:', stdout)
... | code_fim | medium | {
"lang": "python",
"repo": "bopopescu/google-cloud-sdk",
"path": "/.install/.backup/platform/gsutil/gslib/tests/test_stat.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: beardedfoo/scrappy-serverless path: /server.py
# pylint: disable=invalid-name,unused-import,missing-docstring,wrong-import-order,line-too-long,trailing-whitespace
"""A basic FaaS in Python"""
from __future__ import print_function
from flask import Flask, Response, request
from redis import Redis
... | code_fim | hard | {
"lang": "python",
"repo": "beardedfoo/scrappy-serverless",
"path": "/server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>app = Flask(__name__)
# Connect to redis & test connection
redis_conn = Redis('redis')
redis_conn.info()
@app.route('/healthz')
def healthz():
"""Reports service health"""
return "OK\n"
# PLAN: Show list of runnable functions @ /
@app.route('/')
def index():
"""Serves the home page"""
r... | code_fim | hard | {
"lang": "python",
"repo": "beardedfoo/scrappy-serverless",
"path": "/server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # define the fields for your item here like:
# name = scrapy.Field()
id = scrapy.Field()
name = scrapy.Field() # Name in url, removed invalid chars for file name limitation.
displayName = scrapy.Field() # Original name user input.
url = scrapy.Field()
author = scrapy.Field()
... | code_fim | medium | {
"lang": "python",
"repo": "jarvisji/ScrapyCrawler",
"path": "/CrawlWorker/items.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class FeedItem(scrapy.Item):
url = scrapy.Field()
updatedTime = scrapy.Field()<|fim_prefix|># repo: jarvisji/ScrapyCrawler path: /CrawlWorker/items.py
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items... | code_fim | hard | {
"lang": "python",
"repo": "jarvisji/ScrapyCrawler",
"path": "/CrawlWorker/items.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jarvisji/ScrapyCrawler path: /CrawlWorker/items.py
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
<|fim_suffix|> # define the fields for your item here like:
# name = sc... | code_fim | medium | {
"lang": "python",
"repo": "jarvisji/ScrapyCrawler",
"path": "/CrawlWorker/items.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rafhaelom/Python path: /PythonBrasil/EstruturaSequencial/10.py
# 10. Faça um Programa que peça a temperatura em graus Celsi<|fim_suffix|>oat(input("Digite a temperatura em Celsius: "))
print("A temperatura em Fahrenheit eh: ", (1.8 * temCelsius) + 32, "ºF")<|fim_middle|>us, transforme e mostre e... | code_fim | medium | {
"lang": "python",
"repo": "rafhaelom/Python",
"path": "/PythonBrasil/EstruturaSequencial/10.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>oat(input("Digite a temperatura em Celsius: "))
print("A temperatura em Fahrenheit eh: ", (1.8 * temCelsius) + 32, "ºF")<|fim_prefix|># repo: rafhaelom/Python path: /PythonBrasil/EstruturaSequencial/10.py
# 10. Faça um Programa que peça a temperatura em graus Celsi<|fim_middle|>us, transforme e mostre e... | code_fim | medium | {
"lang": "python",
"repo": "rafhaelom/Python",
"path": "/PythonBrasil/EstruturaSequencial/10.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # method
response = client.get('/get-only1/')
r = APIResult(response)
assert r.error == None
response = client.get('/get-only2/')
r = APIResult(response)
assert r.error == None
response = client.post('/get-only2/')
assert response.status_code == 405 # not allowed
... | code_fim | hard | {
"lang": "python",
"repo": "randydu/django-urlman",
"path": "/tests/test_urlman.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: randydu/django-urlman path: /tests/test_urlman.py
from django_urlman.urlman import _geturl, _APIWrapper, mount, module_path, APIResult, get_wrapper, _dump_urls
from django_urlman.decorators import api, url, HEAD, GET, POST, PUT, PATCH, DELETE, READ, WRITE
from django_urlman.marker import mark
fr... | code_fim | hard | {
"lang": "python",
"repo": "randydu/django-urlman",
"path": "/tests/test_urlman.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> client.cookies['a'] = 5
response = client.post('/t1/') # from cookie
assert response.status_code == 200
r = APIResult(response)
assert r.error == None
assert r.result == 5
if False: #todo: setup testing env properly
client.cookies.pop('a')
client.session['a'] =... | code_fim | hard | {
"lang": "python",
"repo": "randydu/django-urlman",
"path": "/tests/test_urlman.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for key in envkeys:
print(key + (maxlen - len(key)) * " " + ": " + os.environ[key])
print(80 * "-")
# import all tests
from .core import *
from .ops import *<|fim_prefix|># repo: riga/tfdeploy path: /tests/__init__.py
# -*- coding: utf-8 -*-
# some logs
import os
import sys
import numpy as n... | code_fim | hard | {
"lang": "python",
"repo": "riga/tfdeploy",
"path": "/tests/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: riga/tfdeploy path: /tests/__init__.py
# -*- coding: utf-8 -*-
# some logs
import os
import sys
import numpy as np
import tensorflow as tf
print(80 * "-")
print("python : " + sys.version.split(" ")[0])
print("tensorflow: " + tf.__version__)
print("numpy : " + np.version.version)
try:
... | code_fim | medium | {
"lang": "python",
"repo": "riga/tfdeploy",
"path": "/tests/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def all_results(slug: str,
record_id: int,
expanded: bool = False) -> List[ComparisonObject]:
"""
Computes the Pearson correlation between the current user and all other
users who have filled out this form.
Arguments
---------
slug -- The slug to... | code_fim | hard | {
"lang": "python",
"repo": "parthsarin/personality-quiz",
"path": "/personality-quiz/quiz_api/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> record_id: int,
expanded: bool = False) -> List[ComparisonObject]:
"""
Computes the Pearson correlation between the current user and all other
users who have filled out this form.
Arguments
---------
slug -- The slug to identify the quiz.
recor... | code_fim | hard | {
"lang": "python",
"repo": "parthsarin/personality-quiz",
"path": "/personality-quiz/quiz_api/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: parthsarin/personality-quiz path: /personality-quiz/quiz_api/process.py
"""
File: process.py
----------------
Processes the results from the quiz.
"""
from .db import get_num_submissions, get_submission_for_form
from typing import Collection, Tuple, TypedDict, Union, List
from numbers import Num... | code_fim | hard | {
"lang": "python",
"repo": "parthsarin/personality-quiz",
"path": "/personality-quiz/quiz_api/process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
ori = p.getQuaternionFromEuler(np.array(p.getEulerFromQuaternion(ORI)) + np.array([-180,0,0]))
p.changeConstraint(pr2_cid, POS, ori, maxForce=500)
p.setJointMotorControl2(pr2_gripper, 0, controlMode=p.POSITION_CONTROL,targetPosition=gripper_max_joint - GRIPPER * gripper_max_joint,force=1.... | code_fim | hard | {
"lang": "python",
"repo": "wx-b/learning_from_play",
"path": "/data_collection/pybullet_GUI_server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
if USE_VR:
global POS
global ORI
global GRIPPER
events = p.getVREvents()
e = events[0]
POS = list(e[POSITION])
ORI = list(e[ORIENTATION])
GRIPPER = e[ANALOG]
print(p.getEulerFromQua... | code_fim | hard | {
"lang": "python",
"repo": "wx-b/learning_from_play",
"path": "/data_collection/pybullet_GUI_server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wx-b/learning_from_play path: /data_collection/pybullet_GUI_server.py
#import os
#os.system(r'"C:\Users\sholt\Desktop\bullet3\bin\App_PhysicsServer_SharedMemory_VR_vs2010_x64_release.exe"')
USE_VR = None
import socket
import pybullet as p
import time
import pybullet_data
import numpy as np
from... | code_fim | hard | {
"lang": "python",
"repo": "wx-b/learning_from_play",
"path": "/data_collection/pybullet_GUI_server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cadurosar/laplacian_networks path: /cifar_10/read_results.py
import pandas as pd
import argparse
import matplotlib.pyplot as plt
def read_clean(args):
df = pd.read_pickle("test_results/fgsm.pkl")
df = df.drop(["k", "m", "seed", "snr", "accuracy_before_norm",
"mean_eps... | code_fim | hard | {
"lang": "python",
"repo": "cadurosar/laplacian_networks",
"path": "/cifar_10/read_results.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
all_results = ["clean", "fgsm", "gaussian",
"dropout", "pgd", "deepfool", "quantized", "all"]
parser = argparse.ArgumentParser(description='Read Training results')
parser.add_argument(
'--result', choices=all_results,
default='all', help='which ... | code_fim | hard | {
"lang": "python",
"repo": "cadurosar/laplacian_networks",
"path": "/cifar_10/read_results.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertIsNone(sum_fracts([[0, 2], [0, 2]]))<|fim_prefix|># repo: mveselov/CodeWars path: /tests/kyu_6_tests/test_irreducible_sum_of_rationals.py
import unittest
from katas.kyu_6.irreducible_sum_of_rationals import sum_fracts
class SumOfRationalsTestCase(unittest.TestCase):
def test_equ... | code_fim | easy | {
"lang": "python",
"repo": "mveselov/CodeWars",
"path": "/tests/kyu_6_tests/test_irreducible_sum_of_rationals.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_equal_1(self):
self.assertEqual(sum_fracts([[1, 2], [1, 3], [1, 4]]), [13, 12])
def test_equal_2(self):
self.assertEqual(sum_fracts([[1, 3], [5, 3]]), 2)
def test_is_none_1(self):
self.assertIsNone(sum_fracts([[0, 2], [0, 2]]))<|fim_prefix|># repo: mveselov/C... | code_fim | easy | {
"lang": "python",
"repo": "mveselov/CodeWars",
"path": "/tests/kyu_6_tests/test_irreducible_sum_of_rationals.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mveselov/CodeWars path: /tests/kyu_6_tests/test_irreducible_sum_of_rationals.py
import unittest
from katas.kyu_6.irreducible_sum_of_rationals import sum_fracts
<|fim_suffix|> def test_equal_2(self):
self.assertEqual(sum_fracts([[1, 3], [5, 3]]), 2)
def test_is_none_1(self):
... | code_fim | medium | {
"lang": "python",
"repo": "mveselov/CodeWars",
"path": "/tests/kyu_6_tests/test_irreducible_sum_of_rationals.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = ark_blockchain.MemAccounts2Delegates
filter_fields = {
'accountid': ['exact'],
'dependentid': ['exact']
}
interfaces = (relay.Node,)
class BlocksType(DjangoObjectType):
rowid = graphene.Field(BigInt)
timestamp = grap... | code_fim | hard | {
"lang": "python",
"repo": "BlockHub/django-ark",
"path": "/ark/types.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BlockHub/django-ark path: /ark/types.py
from graphene import relay
import graphene
from graphene_django import DjangoObjectType
import ark.models as ark_blockchain
from graphene_django.converter import convert_django_field
from django.db import models
from ark.converter import BigInt, Binary
@c... | code_fim | hard | {
"lang": "python",
"repo": "BlockHub/django-ark",
"path": "/ark/types.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Unable to communicate with server."""
class HTTPException(Exception):
"""Base exception for all HTTP-derived exceptions."""
code = 'N/A'
def __init__(self, details=None):
self.details = details or self.__class__.__name__
def __str__(self):
return "%s (HTTP %s)" %... | code_fim | medium | {
"lang": "python",
"repo": "kickstandproject/sarlacc",
"path": "/sarlacc/common/exception.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kickstandproject/sarlacc path: /sarlacc/common/exception.py
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 OpenStack LLC.
# Copyright (C) 2013 PolyBeacon, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file exc... | code_fim | medium | {
"lang": "python",
"repo": "kickstandproject/sarlacc",
"path": "/sarlacc/common/exception.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KATO-Hiro/AtCoder path: /ABC/abc051-abc100/abc071/a.py
'''input
1 999 1000
A
5 2 7
B
'''
# -*- coding: utf-8 -*-
<|fim_suffix|>if __name__ == '__main__':
x, a, b = list(map(int, input().split()))
if abs(x - a) < abs(x - b):
print('A')
else:
print('B')... | code_fim | easy | {
"lang": "python",
"repo": "KATO-Hiro/AtCoder",
"path": "/ABC/abc051-abc100/abc071/a.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
x, a, b = list(map(int, input().split()))
if abs(x - a) < abs(x - b):
print('A')
else:
print('B')<|fim_prefix|># repo: KATO-Hiro/AtCoder path: /ABC/abc051-abc100/abc071/a.py
'''input
1 999 1000
A
5 2 7
B
'''
# -*- coding: utf-8 -*-
... | code_fim | easy | {
"lang": "python",
"repo": "KATO-Hiro/AtCoder",
"path": "/ABC/abc051-abc100/abc071/a.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''Returns the coordinates of the chunk containing the block at the given coords. Does not guarantee that the chunk exists, just that that block would mathematically be there.'''
x, y = p
return (x//Const.CHUNK_SIZE, y//Const.CHUNK_SIZE)
@staticmethod
def chunksToBlocks(p... | code_fim | hard | {
"lang": "python",
"repo": "ultrasans540/clonaria",
"path": "/clonaria/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''Returns a list of block coordinates to be used for physics calculations based on those nearest to entities.'''
blocks = []
for entity in entities:
#blocks.append(Util.getClosestSolidBlock(entity.body.velocity.normalized(), entity.world, entity.body.position))
... | code_fim | hard | {
"lang": "python",
"repo": "ultrasans540/clonaria",
"path": "/clonaria/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ultrasans540/clonaria path: /clonaria/util.py
if (ix-x)**2 + (iy-y)**2 < r**2:
blocks.append((ix, iy))
return blocks
@staticmethod
def line(p1, p2):
'''
Returns a list of all block coordinates between the two points, inclusive, using Brensenha... | code_fim | hard | {
"lang": "python",
"repo": "ultrasans540/clonaria",
"path": "/clonaria/util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: astral-sh/ruff path: /scripts/check_ecosystem.py
e
logger = logging.getLogger(__name__)
class Repository(NamedTuple):
"""A GitHub repository at a specific ref."""
org: str
repo: str
ref: str | None
select: str = ""
ignore: str = ""
exclude: str = ""
# Generatin... | code_fim | hard | {
"lang": "python",
"repo": "astral-sh/ruff",
"path": "/scripts/check_ecosystem.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def limited_parallelism(coroutine: T) -> T:
async with semaphore:
return await coroutine
results = await asyncio.gather(
*[
limited_parallelism(compare(ruff1, ruff2, repo, checkouts))
for repo in repositories.values()
],
re... | code_fim | hard | {
"lang": "python",
"repo": "astral-sh/ruff",
"path": "/scripts/check_ecosystem.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: astral-sh/ruff path: /scripts/check_ecosystem.py
/usr/bin/env python3
"""Check two versions of ruff against a corpus of open-source code.
Example usage:
scripts/check_ecosystem.py <path/to/ruff1> <path/to/ruff2>
"""
from __future__ import annotations
import argparse
import asyncio
import d... | code_fim | hard | {
"lang": "python",
"repo": "astral-sh/ruff",
"path": "/scripts/check_ecosystem.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: justinharringa/aprendendo-python path: /exercicios/pietra/13-52-aula 13 p desafio 52.py
numero = int(input('digite um numero : '))
if nu<|fim_suffix|>
#eu não estou conseguindo fazer de jeito nenhum<|fim_middle|>mero % 1 == 6 :
print('ele não é um numero primo')
else:
print('ele é um... | code_fim | medium | {
"lang": "python",
"repo": "justinharringa/aprendendo-python",
"path": "/exercicios/pietra/13-52-aula 13 p desafio 52.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>rimo')
else:
print('ele é um numero primo')
#eu não estou conseguindo fazer de jeito nenhum<|fim_prefix|># repo: justinharringa/aprendendo-python path: /exercicios/pietra/13-52-aula 13 p desafio 52.py
numero = int(input('digite um numero : '))
if nu<|fim_middle|>mero % 1 == 6 :
print('ele nã... | code_fim | easy | {
"lang": "python",
"repo": "justinharringa/aprendendo-python",
"path": "/exercicios/pietra/13-52-aula 13 p desafio 52.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#eu não estou conseguindo fazer de jeito nenhum<|fim_prefix|># repo: justinharringa/aprendendo-python path: /exercicios/pietra/13-52-aula 13 p desafio 52.py
numero = int(input('digite um numero : '))
if nu<|fim_middle|>mero % 1 == 6 :
print('ele não é um numero primo')
else:
print('ele é um... | code_fim | medium | {
"lang": "python",
"repo": "justinharringa/aprendendo-python",
"path": "/exercicios/pietra/13-52-aula 13 p desafio 52.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MSLacerda/serenata-de-amor path: /jarbas/chamber_of_deputies/tests/test_tweets_command.py
from collections import namedtuple
from itertools import permutations
from unittest.mock import MagicMock, PropertyMock, patch
from django.test import TestCase
from mixer.backend.django import mixer
from j... | code_fim | hard | {
"lang": "python",
"repo": "MSLacerda/serenata-de-amor",
"path": "/jarbas/chamber_of_deputies/tests/test_tweets_command.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@patch('jarbas.chamber_of_deputies.management.commands.tweets.twitter.Api')
def test_tweets_with_clean_database(self, api):
api.return_value.GetUserTimeline.return_value = range(3)
with self.settings(**self.credentials):
command = Command()
self.assertEqual((0,... | code_fim | hard | {
"lang": "python",
"repo": "MSLacerda/serenata-de-amor",
"path": "/jarbas/chamber_of_deputies/tests/test_tweets_command.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_save_duplicated_tweet(self):
status = 9999999999999999999999999
reimbursement = mixer.blend(Reimbursement, search_vector=None)
tweet = mixer.blend(Tweet, status=status, reimbursement=reimbursement)
command = Command()
command.log = MagicMock()
c... | code_fim | hard | {
"lang": "python",
"repo": "MSLacerda/serenata-de-amor",
"path": "/jarbas/chamber_of_deputies/tests/test_tweets_command.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>kpoint
from .logger import TxtLogger, StdoutLogger<|fim_prefix|># repo: angeloskath/pytorch-boilerplate path: /pbp/callbacks/__init__.py
"""Define and implement the callback interface.""<|fim_middle|>"
from .base import Callback, CallbackList, CallbackListFactory
from .checkpoint import ModelChec | code_fim | medium | {
"lang": "python",
"repo": "angeloskath/pytorch-boilerplate",
"path": "/pbp/callbacks/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: angeloskath/pytorch-boilerplate path: /pbp/callbacks/__init__.py
"""Define and implement the callback interface.""<|fim_suffix|>backListFactory
from .checkpoint import ModelCheckpoint
from .logger import TxtLogger, StdoutLogger<|fim_middle|>"
from .base import Callback, CallbackList, Call | code_fim | easy | {
"lang": "python",
"repo": "angeloskath/pytorch-boilerplate",
"path": "/pbp/callbacks/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def set_time_feat(self):
values_list = []
span = []
# function tag TMP(constituency tree)
if self.tmp_function_tag_of_verb:
for node in self.tmp_function_tag_of_verb:
node_min_span, node_max_span = node.get_tree_span()
span ... | code_fim | hard | {
"lang": "python",
"repo": "UKPLab/props-de",
"path": "/propsde/proposition_structure/syntactic_item.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># if self.prefix == VERBAL_PREDICATE_FEATURE_FUNCTION_PREFIX:
# self.set_time_feat()
# self.set_tense_feat()
def set_tense_feat(self):
if self.feats["Tense"]["Span"]:
return
value = ""
if self.time_ann_of_verb:
for ta in ... | code_fim | hard | {
"lang": "python",
"repo": "UKPLab/props-de",
"path": "/propsde/proposition_structure/syntactic_item.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UKPLab/props-de path: /propsde/proposition_structure/syntactic_item.py
import inspect
from propsde.dependency_tree.tree import DepTree
import sys
import datetime
# class to represent a predicate, calculate and store its features
# a prefix by with to identify feature extracting function in the ... | code_fim | hard | {
"lang": "python",
"repo": "UKPLab/props-de",
"path": "/propsde/proposition_structure/syntactic_item.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matheusnalmeida/GraphModels path: /GraphModels/Util/util.py
from __future__ import annotations
import sys
from typing import TYPE_CHECKING
from GraphModels.Graph.aresta import Aresta
from GraphModels.Buscas.caminho import Caminho
from GraphModels.Buscas.fronteira import Fronteira
if TYPE_CHECKI... | code_fim | hard | {
"lang": "python",
"repo": "matheusnalmeida/GraphModels",
"path": "/GraphModels/Util/util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not caminho:
return "Nao existe caminho entre os vertices {0} e {1}\nCaso exista um caminho, não foi possivel encontralo devido a possiveis valores invalidos de heuristica".format(str(verticeInicio),str(verticeFim))
else:
return "O caminho de menor distancia entr... | code_fim | hard | {
"lang": "python",
"repo": "matheusnalmeida/GraphModels",
"path": "/GraphModels/Util/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rostyq/brspy path: /reader/utils.py
from cv2 import imread
from json import load
from bson import loads
def read_pic(path, **kwargs):
<|fim_suffix|>
def read_txt(path):
with open(path, 'r') as f:
return load(f)
def read_dat(path):
with open(path, 'rb') as f:
... | code_fim | easy | {
"lang": "python",
"repo": "rostyq/brspy",
"path": "/reader/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(path, 'rb') as f:
return loads(f.read())<|fim_prefix|># repo: rostyq/brspy path: /reader/utils.py
from cv2 import imread
from json import load
from bson import loads
def read_pic(path, **kwargs):
return imread(path, -1, **kwargs)
def read_txt(path):
with open(... | code_fim | easy | {
"lang": "python",
"repo": "rostyq/brspy",
"path": "/reader/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KesavanKing/test-infra path: /scenarios/kubernetes_heapster.py
#!/usr/bin/env python
# Copyright 2017 The Kubernetes Authors.
#
# 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 Lice... | code_fim | hard | {
"lang": "python",
"repo": "KesavanKing/test-infra",
"path": "/scenarios/kubernetes_heapster.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> public = '%s.pub' % private
service = '/service-account.json'
temp = tempfile.mkdtemp(prefix='heapster-')
try:
check(
'docker', 'run', '--rm=true',
'-v', '/etc/localtime:/etc/localtime:ro',
'-v', '/var/run/docker.sock:/var/run/docker.sock',
... | code_fim | hard | {
"lang": "python",
"repo": "KesavanKing/test-infra",
"path": "/scenarios/kubernetes_heapster.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(FILE_PATH, mode='rb') as file: # b is important -> binary
tbl = Table(file.read())
assert tbl.size() == 9994
v = tbl.view()
df = v.to_df()
assert df.shape == (9994, 21)<|fim_prefix|># repo: amitnyc83/perspective path: /python/p... | code_fim | easy | {
"lang": "python",
"repo": "amitnyc83/perspective",
"path": "/python/perspective/perspective/tests/table/test_table_arrow.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amitnyc83/perspective path: /python/perspective/perspective/tests/table/test_table_arrow.py
from perspective.table import Table
import os.path
FILE_PATH = os.path.join(os.path.dirname(__file__), "..", "..", "..", "..", "..", "examples", "simple", "superstore.arrow")
<|fim_suffix|>
def te... | code_fim | easy | {
"lang": "python",
"repo": "amitnyc83/perspective",
"path": "/python/perspective/perspective/tests/table/test_table_arrow.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Help Message box
def _msgBoxHelp():
msg.showinfo(Help.Title, Help.Message)
# How to Message box
def _msgBoxHT():
msg.showinfo(HT.Title, HT.Message)
# Exit GUI cleanly
def _quit():
window.quit()
window.destroy()
exit()
# Add app to the GUI
def _addApp():
addApp = tk.Toplevel()
... | code_fim | hard | {
"lang": "python",
"repo": "BGameiro2000/Media_Organize",
"path": "/GUI/MediaMenu.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BGameiro2000/Media_Organize path: /GUI/MediaMenu.py
#!/usr/bin/env python3
"""
This code is under Apache License 2.0
Written by B_Gameiro (Bernardo Bernardino Gameiro)
More in
SoloLearn: https://www.sololearn.com/Profile/8198571
GitHub: https://github.com/BGameiro76
Repl.it: https://repl.i... | code_fim | hard | {
"lang": "python",
"repo": "BGameiro2000/Media_Organize",
"path": "/GUI/MediaMenu.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class WXCategoryViewSet(CategoryModelViewSet):
pass
class WXServiceViewSet(ServiceViewSet):
pass
class WXSystemSettingsViewSet(SystemSettingsViewSet):
pass
class WXTaskViewSet(TaskViewSet):
pass
class WXTicketLogViewSet(EventLogViewSet):
pass
class WXPriorityMatrixViewSet(Pr... | code_fim | hard | {
"lang": "python",
"repo": "TencentBlueKing/bk-itsm",
"path": "/weixin/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class WXFieldViewSet(FieldViewSet):
serializer_class = WXFieldSerializer
class WXSysDictViewSet(SysDictViewSet):
pass
class WXCategoryViewSet(CategoryModelViewSet):
pass
class WXServiceViewSet(ServiceViewSet):
pass
class WXSystemSettingsViewSet(SystemSettingsViewSet):
pass
c... | code_fim | hard | {
"lang": "python",
"repo": "TencentBlueKing/bk-itsm",
"path": "/weixin/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TencentBlueKing/bk-itsm path: /weixin/views.py
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-ITSM 蓝鲸流程服务 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-ITSM 蓝鲸流程服务 is licensed under the MIT License.
... | code_fim | hard | {
"lang": "python",
"repo": "TencentBlueKing/bk-itsm",
"path": "/weixin/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matthewwardrop/formulaic path: /formulaic/transforms/identity.py
from typing import Any
<|fim_suffix|> """
Performs the identity/trivial transform of mapping data to itself.
"""
return data<|fim_middle|>
def identity(data: Any) -> Any:
| code_fim | easy | {
"lang": "python",
"repo": "matthewwardrop/formulaic",
"path": "/formulaic/transforms/identity.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Performs the identity/trivial transform of mapping data to itself.
"""
return data<|fim_prefix|># repo: matthewwardrop/formulaic path: /formulaic/transforms/identity.py
from typing import Any
<|fim_middle|>def identity(data: Any) -> Any:
| code_fim | easy | {
"lang": "python",
"repo": "matthewwardrop/formulaic",
"path": "/formulaic/transforms/identity.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @action(detail=False, methods=['post'])
def signup(self, request):
"""
User sign up
"""
serializer = UserSignUpSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
user = serializer.save()
data = UserModelSerializer(user).d... | code_fim | hard | {
"lang": "python",
"repo": "kevinGarcia15/cinemaAPI",
"path": "/cinema/users/views/users.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kevinGarcia15/cinemaAPI path: /cinema/users/views/users.py
"""Users views"""
#django Rest Framework
from rest_framework import status, viewsets
from rest_framework.response import Response
from rest_framework.decorators import action
#serializers
from cinema.users.serilizer import(
User... | code_fim | medium | {
"lang": "python",
"repo": "kevinGarcia15/cinemaAPI",
"path": "/cinema/users/views/users.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> serializer = UserLoginSerializer(data=request.data)
serializer.is_valid(raise_exception=True)
user, token = serializer.save()
data={
'user': UserModelSerializer(user).data,
'access_token': token
}
return Response(data, status=status... | code_fim | hard | {
"lang": "python",
"repo": "kevinGarcia15/cinemaAPI",
"path": "/cinema/users/views/users.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WayneYann/Ligpy-Cantera path: /Ligscipy/ODE_scipy/solve_ODEs_T500_Pseudotsuga_menziesii.py
-1*k_500_266 * RLIGM2A**1.0 * KETM2**1.0 -1*k_500_267 * RCH3**1.0 * KETM2**1.0 -1*k_500_268 * PRKETM2**1.0 * KETM2**1.0 -1*k_500_269 * RKET**1.0 * KETM2**1.0 -1*k_500_270 * PRADIO**1.0 * KETM2**1.0 -1*... | code_fim | hard | {
"lang": "python",
"repo": "WayneYann/Ligpy-Cantera",
"path": "/Ligscipy/ODE_scipy/solve_ODEs_T500_Pseudotsuga_menziesii.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
k_500_305 = 565.07955524
k_500_306 = 36650.6934391
k_500_307 = 565.07955524
k_500_308 = 565.07955524
k_500_309 = 8092.74573078
k_500_310 = 565.07955524
k_500_311 = 1786.93845375
k_500_312 = 4234.06962773
k_500_313 = 0.490727268768
k_500_314 = 341.544655951
k_500_315 = 341.544655951
k_500_316 = 36650.6934... | code_fim | hard | {
"lang": "python",
"repo": "WayneYann/Ligpy-Cantera",
"path": "/Ligscipy/ODE_scipy/solve_ODEs_T500_Pseudotsuga_menziesii.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>t = [stoptime * float(i) / (numpoints - 1) for i in range(numpoints)]
y0 = [ADIO, ADIOM2, ALD3, C10H2, C10H2M2, C10H2M4, C2H6, C3H4O, C3H4O2, C3H6, C3H6O2, C3H8O2, CH2CO, CH3CHO, CH3OH, CH4, CHAR, CO, CO2, COUMARYL, ETOH, H2, H2O, KET, KETD, KETDM2, KETM2, LIG, LIGC, LIGH, LIGM2, LIGO, MGUAI, OH, PADIO, P... | code_fim | hard | {
"lang": "python",
"repo": "WayneYann/Ligpy-Cantera",
"path": "/Ligscipy/ODE_scipy/solve_ODEs_T500_Pseudotsuga_menziesii.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stoned/py-junos-eznc path: /lib/jnpr/junos/factory/factory_cls.py
# stdlib
from copy import deepcopy
# local
from .cfgtable import CfgTable
from .optable import OpTable
from .table import Table
from .view import View
from .viewfields import ViewFields
def FactoryCfgTable(table_name=None, dat... | code_fim | hard | {
"lang": "python",
"repo": "stoned/py-junos-eznc",
"path": "/lib/jnpr/junos/factory/factory_cls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> view_name = kvargs.get('view_name','RunstatView')
new_cls = type(view_name, (View,), {})
if 'extends' in kvargs:
base_cls = kvargs['extends']
new_cls.FIELDS = deepcopy(base_cls.FIELDS)
new_cls.FIELDS.update(fields)
if 'groups' in kvargs:
new_cls.GROUPS = deepcopy(base_cls.GROU... | code_fim | hard | {
"lang": "python",
"repo": "stoned/py-junos-eznc",
"path": "/lib/jnpr/junos/factory/factory_cls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QCDIS/FAIRCells path: /fair-cells/helper/handlers.py
import base64
import json
import os
import importlib
from typing import Optional
from tornado.web import RequestHandler, HTTPError
from .notebook_runner import NotebookRunner
from .util import get_config
class NotebookRunnerHandler(RequestH... | code_fim | hard | {
"lang": "python",
"repo": "QCDIS/FAIRCells",
"path": "/fair-cells/helper/handlers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if 'display' in cell or 'result' in cell:
if 'display' in cell:
data = cell['display']['data']
else:
data = cell['result']['data']
if 'image/png' in data:
img = data['image/png']
self.set_header('... | code_fim | hard | {
"lang": "python",
"repo": "QCDIS/FAIRCells",
"path": "/fair-cells/helper/handlers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ax = plt.subplot(221)
ax.text(0, subplot_label_y, 'origin')
ax.imshow(resize_image_uint8.eval())
ax = plt.subplot(222)
ax.text(0, subplot_label_y, 'up_down')
ax.imshow(tf.image.convert_image_dtype(flipped, dtype=tf.uint8).eval())
ax = plt.subplot(223)
ax.text(0, subplot_l... | code_fim | hard | {
"lang": "python",
"repo": "qianhk/FeiPython",
"path": "/Python3Test/imageDeal/image_show_origin.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ax = plt.subplot(223)
ax.text(0, subplot_label_y, 'left_right')
ax.imshow(tf.image.convert_image_dtype(flipped2, dtype=tf.uint8).eval())
ax = plt.subplot(224)
ax.text(0, subplot_label_y, 'transpose')
ax.imshow(tf.image.convert_image_dtype(flipped3, dtype=tf.uint8).eval())
plt... | code_fim | hard | {
"lang": "python",
"repo": "qianhk/FeiPython",
"path": "/Python3Test/imageDeal/image_show_origin.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qianhk/FeiPython path: /Python3Test/imageDeal/image_show_origin.py
#!/usr/bin/env python3
# coding=utf-8
import matplotlib.pyplot as plt
import tensorflow as tf
jpgFile = tf.gfile.FastGFile('../data/cat.jpg', 'rb')
image_raw_data = jpgFile.read()
dest_dir = '../logs/imageDeal/'
def resize_30... | code_fim | hard | {
"lang": "python",
"repo": "qianhk/FeiPython",
"path": "/Python3Test/imageDeal/image_show_origin.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_inside_triangle(self):
"""Tests the inside triangle algorithm."""
# defining triangle vertices
v1x, v1y = 0, 0
v2x, v2y = 1, 1
v3x, v3y = 1, 0
# test vertices are inside
self.assertTrue(inside_triangle(v1x, v1y, v2x, v2y, v3x, v3y, v1x... | code_fim | medium | {
"lang": "python",
"repo": "vsnever/raysect-source",
"path": "/raysect/core/math/cython/tests/test_triangle.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vsnever/raysect-source path: /raysect/core/math/cython/tests/test_triangle.py
# Copyright (c) 2014-2023, Dr Alex Meakins, Raysect Project
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditi... | code_fim | hard | {
"lang": "python",
"repo": "vsnever/raysect-source",
"path": "/raysect/core/math/cython/tests/test_triangle.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
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