text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: sharkweek/brokkr path: /brokkr/mech_math/tensors.py
"""Define stress/strain tensors."""
from numpy import array, empty
from unyt.dimensions import pressure, length
from unyt.array import unyt_array
__all__ = ['BaseTensor', 'StrainTensor', 'StressTensor']
class BaseTensor(unyt_array):
"""B... | code_fim | hard | {
"lang": "python",
"repo": "sharkweek/brokkr",
"path": "/brokkr/mech_math/tensors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> new = super().__new__(cls, strains, units)
new.__stype = stype
# check dimensions
if new.has_dimension(length / length):
return new
else:
raise TypeError(
"`units` must be in strain (length/length or dimensionsless)"
... | code_fim | hard | {
"lang": "python",
"repo": "sharkweek/brokkr",
"path": "/brokkr/mech_math/tensors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r"""StrainTensor type.
Must be 'engineering' or 'tensor' strain.
Notes
-----
Only affects shear strains (i.e. :math:`\varepsilon_4`,
:math:`\varepsilon_5`, and :math:`\varepsilon_6`). Using Voigt
notation, the relationship is defined:
.. m... | code_fim | hard | {
"lang": "python",
"repo": "sharkweek/brokkr",
"path": "/brokkr/mech_math/tensors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> msgBox = QtGui.QMessageBox()
msgBox.setWindowTitle(QtGui.QApplication.translate(parent_name, title, None, QtGui.QApplication.UnicodeUTF8))
msgBox.setText(QtGui.QApplication.translate(parent_name, message, None, QtGui.QApplication.UnicodeUTF8))
msgBox.setIcon(icon)
msgBox.exec_()<|fim_p... | code_fim | easy | {
"lang": "python",
"repo": "ComputerArchitectureGroupPWr/Floorplan-Maker",
"path": "/src/MyMessageBox.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ComputerArchitectureGroupPWr/Floorplan-Maker path: /src/MyMessageBox.py
from PyQt4 import QtGui
__author__ = 'pawel'
<|fim_suffix|> msgBox = QtGui.QMessageBox()
msgBox.setWindowTitle(QtGui.QApplication.translate(parent_name, title, None, QtGui.QApplication.UnicodeUTF8))
msgBox.setTex... | code_fim | easy | {
"lang": "python",
"repo": "ComputerArchitectureGroupPWr/Floorplan-Maker",
"path": "/src/MyMessageBox.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: glueball-css/glueball path: /glueball/settings.py
import os
DOCSITE = "http://glueball.io/docs/"
DIRNAME = os.path.dirname(__file__)
# Modules each have a directory at this location
MODULE_ROOT = 'glueball.modules'
# This is where the .css files will be written to
CSS_ROOT = os.path.join(DIRN... | code_fim | hard | {
"lang": "python",
"repo": "glueball-css/glueball",
"path": "/glueball/settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># CSS files to include at the top of the generated CSS file
INCLUDES_DIR = os.path.join(DIRNAME, 'includes')
INCLUDES = (
'normalize.css',
)
PSEUDO_LOOKUP = {
'hvr': 'hover',
'fcs': 'focus',
'lst': 'last-child',
'fst': 'first-child',
'odd': 'nth-child(odd)',
'evn': 'nth-child(... | code_fim | hard | {
"lang": "python",
"repo": "glueball-css/glueball",
"path": "/glueball/settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.name
class Meta:
verbose_name_plural = '作家妻子'<|fim_prefix|># repo: Dante9527-A/study path: /month03.2/day05/mysitel3/oto/models.py
from django.db import models
# Create your models here.
class Author(models.Model):
<|fim_middle|> name = models.CharField('姓名',max_length... | code_fim | hard | {
"lang": "python",
"repo": "Dante9527-A/study",
"path": "/month03.2/day05/mysitel3/oto/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Dante9527-A/study path: /month03.2/day05/mysitel3/oto/models.py
from django.db import models
# Create your models here.
class Author(models.Model):
name = models.CharField('姓名',max_length=20)
def __str__(self):
return self.name
class Meta:
verbose_name_plural = '作者'
... | code_fim | easy | {
"lang": "python",
"repo": "Dante9527-A/study",
"path": "/month03.2/day05/mysitel3/oto/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> verbose_name_plural = '作者'
class Wife(models.Model):
name = models.CharField('姓名',max_length=20)
author = models.OneToOneField(Author,verbose_name='丈夫' ,on_delete=models.CASCADE)
def __str__(self):
return self.name
class Meta:
verbose_name_plural = '作家妻子'<|fim_pref... | code_fim | medium | {
"lang": "python",
"repo": "Dante9527-A/study",
"path": "/month03.2/day05/mysitel3/oto/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
admin.site.register(Author, AuthorAdmin)<|fim_prefix|># repo: cjsapaglinawan/django-crispy-forms-fancy-formsets path: /test_project/test_app/admin.py
from django.contrib import admin
from test_project.test_app.models import Author
<|fim_middle|>class AuthorAdmin(admin.ModelAdmin):
| code_fim | easy | {
"lang": "python",
"repo": "cjsapaglinawan/django-crispy-forms-fancy-formsets",
"path": "/test_project/test_app/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cjsapaglinawan/django-crispy-forms-fancy-formsets path: /test_project/test_app/admin.py
from django.contrib import admin
from test_project.test_app.models import Author
<|fim_suffix|> pass
admin.site.register(Author, AuthorAdmin)<|fim_middle|>class AuthorAdmin(admin.ModelAdmin):
| code_fim | easy | {
"lang": "python",
"repo": "cjsapaglinawan/django-crispy-forms-fancy-formsets",
"path": "/test_project/test_app/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Set the log file name
def setLogFile(filename):
log.addHandler(logging.handlers.RotatingFileHandler(filename))<|fim_prefix|># repo: code-fortis/Jarvis path: /lib/logger.py
# Import all the modules required
import logging
# Setup log variable to be exported out
log = logging.getLogger('logger')
<|... | code_fim | hard | {
"lang": "python",
"repo": "code-fortis/Jarvis",
"path": "/lib/logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: code-fortis/Jarvis path: /lib/logger.py
# Import all the modules required
import logging
# Setup log variable to be exported out
log = logging.getLogger('logger')
# Function: runExample
# Allows developer to test the logger prehand.
def runExample():
log.debug('debug message')
log.info(... | code_fim | medium | {
"lang": "python",
"repo": "code-fortis/Jarvis",
"path": "/lib/logger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: biocommons/eutils path: /src/eutils/_internal/xmlfacades/entrezgeneset.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
from .base import Base
from .entrezgene import Entrezgene
<|fim_suffix|> """
_root_tag = "Entrezgene-Set... | code_fim | hard | {
"lang": "python",
"repo": "biocommons/eutils",
"path": "/src/eutils/_internal/xmlfacades/entrezgeneset.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># <LICENSE>
# Copyright 2015 eutils Committers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | code_fim | hard | {
"lang": "python",
"repo": "biocommons/eutils",
"path": "/src/eutils/_internal/xmlfacades/entrezgeneset.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ors,genericfixes,VASPdetectors,VASPfixes<|fim_prefix|># repo: MichaelSluydts/QueueManager-client path: /errors/__init__.py
__all__ = ['generic','genericdetectors','genericfixes','VASPdetectors','VASPfix<|fim_middle|>es']
from . import generic,genericdetect | code_fim | easy | {
"lang": "python",
"repo": "MichaelSluydts/QueueManager-client",
"path": "/errors/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MichaelSluydts/QueueManager-client path: /errors/__init__.py
__all__ = ['generic','genericdetectors','genericfixes','VASPdetectors','VASPfix<|fim_suffix|>ors,genericfixes,VASPdetectors,VASPfixes<|fim_middle|>es']
from . import generic,genericdetect | code_fim | easy | {
"lang": "python",
"repo": "MichaelSluydts/QueueManager-client",
"path": "/errors/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hscspring/The-DataStructure-and-Algorithms path: /BiSearch/get_closest_wall(AliInterview).py
# // You have an array with 0 or 1.
# // 0 represents empty space and 1 represents wall.
# // for example
# // [0 0 0 1 0 0 0 1 0 0 0 1 0 1]
# // Compute an output vector, in which each elem... | code_fim | hard | {
"lang": "python",
"repo": "hscspring/The-DataStructure-and-Algorithms",
"path": "/BiSearch/get_closest_wall(AliInterview).py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> lst = [0, 0, 1]
assert get_distance_to_the_closet_wall(lst) == [2, 1, 0]
lst = [0, 1, 0]
assert get_distance_to_the_closet_wall(lst) == [1, 0, 1]
lst = [1, 0, 0]
assert get_distance_to_the_closet_wall(lst) == [0, 1, 2]
lst = [0, 0, 0]
assert get_distance_to_the_closet_wa... | code_fim | hard | {
"lang": "python",
"repo": "hscspring/The-DataStructure-and-Algorithms",
"path": "/BiSearch/get_closest_wall(AliInterview).py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_sub_distance(sub_s, is_start: bool, is_end: bool):
if is_start:
return list(range(len(sub_s), 0, -1))
elif is_end:
return list(range(1, len(sub_s)+1))
else:
mid = len(sub_s) // 2
left = list(range(1, mid+1))
right = list(reversed(left))
... | code_fim | hard | {
"lang": "python",
"repo": "hscspring/The-DataStructure-and-Algorithms",
"path": "/BiSearch/get_closest_wall(AliInterview).py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(PlotLaTeX, self).add_texts(plotData)
@staticmethod
def tableToLaTeX(table, rowLabels, colLabels):
delimiter_cells = "\t&\t"
delimiter_rows = '\t \\\\ \\hline \n'
result = "\hline \n" + delimiter_cells
for colLabel in colLabels[:-1]:
result += colLabel + delimiter_cells
result += co... | code_fim | hard | {
"lang": "python",
"repo": "thomas-mueller/clipl",
"path": "/clipl/plot_modules/plotlatex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thomas-mueller/clipl path: /clipl/plot_modules/plotlatex.py
# -*- coding: utf-8 -*-
import os
import logging
import clipl.utility.logger as logger
log = logging.getLogger(__name__)
import ROOT
import clipl.plotbase as plotbase
import clipl.plotdata as plotdata
from clipl.utility.mplhisto imp... | code_fim | hard | {
"lang": "python",
"repo": "thomas-mueller/clipl",
"path": "/clipl/plot_modules/plotlatex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for step in range(2001):
cost_val , W_val, b_val, _ = sess.run([cost, W, b, train], feed_dict={ X:[1,2,3,4,5], Y:[2,1,3,1,4] })
if step % 100 == 0:
print(step, cost_val, W_val, b_val)
print(sess.run(hypothesis, feed_dict={X:[1,5,3,5]}))<|fim_prefix|># repo: fomuon/tensorflow-ex... | code_fim | hard | {
"lang": "python",
"repo": "fomuon/tensorflow-exams",
"path": "/src/example_003.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fomuon/tensorflow-exams path: /src/example_003.py
import os
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
X = tf.placeholder(tf.float32, shape=[None])
Y = tf.placeholder(tf.float32, shape=[None])
W = tf.Variable(tf.random_normal([1]), name='weight')
b = tf.Variable(tf.r... | code_fim | medium | {
"lang": "python",
"repo": "fomuon/tensorflow-exams",
"path": "/src/example_003.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> Also support | split ruby
\ruby{椎名|真昼}{しいな|まひる} -> 椎名（しいな）真昼（まひる）
"""
return ''.join('{}（{}）'.format(*pair) for pair in
zip(match['word'].split('|'), match['ruby'].split('|')))
def format_line(source_line: str, fts: FootnoteStorage, ofs: OFootnoteStorage,
... | code_fim | hard | {
"lang": "python",
"repo": "tongyuantongyu/NovelDeploy",
"path": "/compiler/bbcode.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tongyuantongyu/NovelDeploy path: /compiler/bbcode.py
import re
from typing import Match, Callable, Tuple
fnorder = ['①', '②', '③', '④', '⑤', '⑥', '⑦', '⑧', '⑨', '⑩', '⑪', '⑫', '⑬', '⑭', '⑮', '⑯',
'⑰', '⑱', '⑲', '⑳', '㉑', '㉒', '㉓', '㉔', '㉕', '㉖', '㉗', '㉘', '㉙', '㉚', '㉛', '㉜',
... | code_fim | hard | {
"lang": "python",
"repo": "tongyuantongyu/NovelDeploy",
"path": "/compiler/bbcode.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ram-Aditya/Healthcare-Data-Analytics path: /env/lib/python2.7/site-packages/lasagne/layers/special.py
td(axis=0)`` instead.
"""
# Subtract the offset
layer = BiasLayer(layer, -offset, shared_axes)
# Do not optimize the offset parameter
layer.params[layer.b].remove('trainable')... | code_fim | hard | {
"lang": "python",
"repo": "Ram-Aditya/Healthcare-Data-Analytics",
"path": "/env/lib/python2.7/site-packages/lasagne/layers/special.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> alpha : Theano shared variable, expression, numpy array or callable
Initial value, expression or initializer for the alpha values. The
shape must match the incoming shape, skipping those axes the alpha
values are shared over (see the example below).
See :func:`lasagne.u... | code_fim | hard | {
"lang": "python",
"repo": "Ram-Aditya/Healthcare-Data-Analytics",
"path": "/env/lib/python2.7/site-packages/lasagne/layers/special.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # scale coordinates from [-1, 1] to [0, width/height - 1]
x = (x + 1) / 2 * (width_f - 1)
y = (y + 1) / 2 * (height_f - 1)
# obtain indices of the 2x2 pixel neighborhood surrounding the coordinates;
# we need those in floatX for interpolation and in int64 for indexing.
x0_f = T.fl... | code_fim | hard | {
"lang": "python",
"repo": "Ram-Aditya/Healthcare-Data-Analytics",
"path": "/env/lib/python2.7/site-packages/lasagne/layers/special.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LiHeng/chicago-crime path: /python/multi_view_learning/graph_embedding.py
"""
Hongjian
Problem: use taxi flow as an independent view to predict crime.
Task:
1. Get graph embedding representation of regions from taxi flow.
2. Use leaveOneOut to test the error of this single view.
3. R... | code_fim | hard | {
"lang": "python",
"repo": "LiHeng/chicago-crime",
"path": "/python/multi_view_learning/graph_embedding.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def CA_clustering_with_embedding():
ge = get_graph_embedding_features("geo_all.txt")
from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters=4, max_iter=100).fit(ge)
for idx, lab in enumerate(kmeans.labels_):
print idx+1, lab
colorMaps = ['blue', 'red', 'g', '... | code_fim | hard | {
"lang": "python",
"repo": "LiHeng/chicago-crime",
"path": "/python/multi_view_learning/graph_embedding.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EBI-Metagenomics/ebi-metagenomics-libs path: /mgnify_backlog/mgnify_handler.py
GS_MODULE'] = 'backlog_cli.settings'
django.setup()
from backlog.models import Study, Run, AssemblyJob, RunAssembly, Assembler, AssemblyJobStatus, RunAssemblyJob, Biome, \
User, Pipeline, \
UserRequest, Annot... | code_fim | hard | {
"lang": "python",
"repo": "EBI-Metagenomics/ebi-metagenomics-libs",
"path": "/mgnify_backlog/mgnify_handler.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update_annotation_jobs_from_accessions(self, run_or_assembly_accessions=None, study_accessions=None,
status_description=None, priority=None, pipeline_version=None,
directory=None, delete=False, auto_confi... | code_fim | hard | {
"lang": "python",
"repo": "EBI-Metagenomics/ebi-metagenomics-libs",
"path": "/mgnify_backlog/mgnify_handler.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EBI-Metagenomics/ebi-metagenomics-libs path: /mgnify_backlog/mgnify_handler.py
ublic') <= datetime.now().date(),
ena_last_update=get_date(data, 'last_updated')
)
s.save(using=self.database)
return s
def update_study_obj(self, data):
... | code_fim | hard | {
"lang": "python",
"repo": "EBI-Metagenomics/ebi-metagenomics-libs",
"path": "/mgnify_backlog/mgnify_handler.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akuhantu/My-Python-Creations path: /Info Covid 19/Covid.py
import json
from urllib import request
#Copyrights 2020
#Created By Zhirrr
url = "https://indonesia-covid-19.mathdro.id/api/provinsi"
<|fim_suffix|> print(f" 🤗Sembuh: {covid['kasusSemb']}")
print(f" Meninggal: {covid['... | code_fim | hard | {
"lang": "python",
"repo": "akuhantu/My-Python-Creations",
"path": "/Info Covid 19/Covid.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>data = json.loads(response.read())
for covid in data['data']:
print("---------------------------")
print("---------------------------")
print(f"- {covid['provinsi']}:")
print(f" 🤕Positif: {covid['kasusPosi']}")
print(f" 🤗Sembuh: {covid['kasusSemb']}")
print(... | code_fim | medium | {
"lang": "python",
"repo": "akuhantu/My-Python-Creations",
"path": "/Info Covid 19/Covid.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chris-wood/checkin path: /checkin.py
import os
from twilio.rest import TwilioRestClient
account_sid = os.environ["TWILIO_SID"]
#"{{ account_sid }}" # Your Account SID from www.twilio.com/console
auth_token = os.environ["TWILIO_AUTH"]
#"{{ auth_token }}" # Your Auth Token from www.twilio.com/co... | code_fim | medium | {
"lang": "python",
"repo": "chris-wood/checkin",
"path": "/checkin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>message = client.messages.create(body="Hello from checkin",
to="+13158065939", # Replace with your phone number
from_="+15005550006") # Replace with your Twilio number
print(message.sid)<|fim_prefix|># repo: chris-wood/checkin path: /checkin.py
import os
from twilio.rest import TwilioRestClie... | code_fim | medium | {
"lang": "python",
"repo": "chris-wood/checkin",
"path": "/checkin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chris-wood/checkin path: /checkin.py
import os
from twilio.rest import TwilioRestClient
<|fim_suffix|>message = client.messages.create(body="Hello from checkin",
to="+13158065939", # Replace with your phone number
from_="+15005550006") # Replace with your Twilio number
print(message.... | code_fim | hard | {
"lang": "python",
"repo": "chris-wood/checkin",
"path": "/checkin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if cfg.dataset.val_data_path is not None:
valid_losses = []
valid_accs = []
logger.info("Start Training")
for epoch in range(cfg.training.max_epochs):
artifact = wandb.Artifact('model', type='model')
train_loss, train_acc, lr = train_fn(
... | code_fim | hard | {
"lang": "python",
"repo": "seanbenhur/resusable_text_classification_template",
"path": "/src/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seanbenhur/resusable_text_classification_template path: /src/main.py
import logging
from pathlib import Path
import os
import hydra
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import torch
import torch.nn as nn
import wandb
from omegaconf.omegacon... | code_fim | hard | {
"lang": "python",
"repo": "seanbenhur/resusable_text_classification_template",
"path": "/src/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> train_losses = []
train_accs = []
if cfg.dataset.val_data_path is not None:
valid_losses = []
valid_accs = []
logger.info("Start Training")
for epoch in range(cfg.training.max_epochs):
artifact = wandb.Artifact('model', type='model')
train_... | code_fim | hard | {
"lang": "python",
"repo": "seanbenhur/resusable_text_classification_template",
"path": "/src/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LukasL97/shop-4-me path: /back-flask/test/model/test_user.py
from unittest import TestCase
from dao.users_dao import UsersDAO, RequestersDAO
from model.exception import IncorrectPasswordError, UserNotFoundError, UserAlreadyRegisteredError, \
UserSessionIdNotFoundError, UnexpectedNumberOfLoca... | code_fim | hard | {
"lang": "python",
"repo": "LukasL97/shop-4-me",
"path": "/back-flask/test/model/test_user.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_login_with_unknown_user(self):
with self.assertRaises(UserNotFoundError):
self.user_handler.login('name', 'pw')
self.assertEqual(len(self.user_handler.active_user_sessions), 0)
def test_registration_with_correct_data(self):
session_id = self.user_handl... | code_fim | hard | {
"lang": "python",
"repo": "LukasL97/shop-4-me",
"path": "/back-flask/test/model/test_user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Start periodic freshness check
state_freshness_update_interval = self.config.STATE_FRESHNESS_UPDATE_INTERVAL
if state_freshness_update_interval > 0:
RepeatingTimer(self._timer, state_freshness_update_interval, self.check_freshness)
def __repr__(self):
ret... | code_fim | hard | {
"lang": "python",
"repo": "jandayanan/indy-plenum",
"path": "/plenum/server/view_change/view_changer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jandayanan/indy-plenum path: /plenum/server/view_change/view_changer.py
from abc import ABC, abstractmethod
from plenum.common.startable import Mode
from plenum.common.timer import TimerService, RepeatingTimer
from plenum.server.quorums import Quorums
from stp_core.common.log import getlogger
f... | code_fim | hard | {
"lang": "python",
"repo": "jandayanan/indy-plenum",
"path": "/plenum/server/view_change/view_changer.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
@abstractmethod
def view_no(self):
pass
@abstractmethod
def view_change_in_progress(self):
pass
class ViewChanger():
def __init__(self, provider: ViewChangerDataProvider, timer: TimerService):
self.provider = provider
self._timer = time... | code_fim | hard | {
"lang": "python",
"repo": "jandayanan/indy-plenum",
"path": "/plenum/server/view_change/view_changer.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('time: ', ', '.join([d['seconds'] for d in data_list]))
print('instructions: ', ', '.join([d['instructions'] for d in data_list]))
print('skipped: ', ', '.join([str(100*int(d['skipped'])/int(d['instructions'])) for d in data_list]))
return True
def main(argv):
args = parse_arg... | code_fim | hard | {
"lang": "python",
"repo": "archercreat/dta-vs-osc",
"path": "/attacking_anti_tamper/evaluation/print_value_lists.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: archercreat/dta-vs-osc path: /attacking_anti_tamper/evaluation/print_value_lists.py
#!/usr/bin/env python3
# note: there most likely exist unused imports which haven't been removed as they have no effects on the generated output
from __future__ import print_function
import argparse
import os
im... | code_fim | hard | {
"lang": "python",
"repo": "archercreat/dta-vs-osc",
"path": "/attacking_anti_tamper/evaluation/print_value_lists.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> input_dir = args.input
data_list = []
only_failures = True
for data_file in os.listdir(input_dir):
with open(os.path.join(input_dir, data_file), 'r') as reader:
current_dict = {'attack_result': 'success'}
for line in reader.readlines():
dat... | code_fim | hard | {
"lang": "python",
"repo": "archercreat/dta-vs-osc",
"path": "/attacking_anti_tamper/evaluation/print_value_lists.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DooSunny/Narsha-AMK path: /narsha/ex1_chatbot.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Example 1: GiGA Genie Keyword Spotting"""
from __future__ import print_function
import grpc
import gigagenieRPC_pb2
import gigagenieRPC_pb2_grpc
import MicrophoneStream as MS
import user_auth as U... | code_fim | hard | {
"lang": "python",
"repo": "DooSunny/Narsha-AMK",
"path": "/narsha/ex1_chatbot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> rms = audioop.rms(content,2)
#print_rms(rms)
def getVoice2Text():
print ("\n\n음성인식을 시작합니다.\n\n종료하시려면 Ctrl+\ 키를 누루세요.\n\n\n")
channel = grpc.secure_channel('{}:{}'.format(HOST, PORT), UA.getCredentials())
stub = gigagenieRPC_pb2_grpc.GigagenieStub(channel)
request ... | code_fim | hard | {
"lang": "python",
"repo": "DooSunny/Narsha-AMK",
"path": "/narsha/ex1_chatbot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def getText2VoiceStream(inText,inFileName):
channel = grpc.secure_channel('{}:{}'.format(HOST, PORT), UA.getCredentials())
stub = gigagenieRPC_pb2_grpc.GigagenieStub(channel)
message = gigagenieRPC_pb2.reqText()
message.lang=0
message.mode=0
message.text=inText
writeFile=open(inFileName,'wb')
fo... | code_fim | hard | {
"lang": "python",
"repo": "DooSunny/Narsha-AMK",
"path": "/narsha/ex1_chatbot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: venth/aws-adfs path: /aws_adfs/commands.py
# -*- coding: utf-8 -*-
import logging
import sys
import click
from . import list_profiles
from . import login
from . import reset
from . import __version__
def _print_version(ctx, param, value):
<|fim_suffix|> log_format = '%(asctime)s [%(module... | code_fim | hard | {
"lang": "python",
"repo": "venth/aws-adfs",
"path": "/aws_adfs/commands.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not value or ctx.resilient_parsing:
return
click.echo(__version__)
ctx.exit()
@click.group()
@click.option(
'--version',
is_flag=True,
callback=_print_version,
expose_value=False,
is_eager=True,
help='Show current tool version'
)
@click.option(
'-v', '-... | code_fim | medium | {
"lang": "python",
"repo": "venth/aws-adfs",
"path": "/aws_adfs/commands.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
with open(Path, 'r') as f:
reader = csv.reader(f)
k = 0
for row in reader:
lat = float(row[0])
long = float(row[1])
if k == 0:
gmap.marker(lat, long, 'green')
k = 1
else:
gmap.marker(lat, long, 'blue')
k = 0
gma... | code_fim | hard | {
"lang": "python",
"repo": "Ayush7614/Amazing-Python-Scripts",
"path": "/Gmplot-Track the Route/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ayush7614/Amazing-Python-Scripts path: /Gmplot-Track the Route/main.py
import csv
from gmplot import gmplot # importing
Path = input("Enter the path of your csv file , with filename and extension : ")
Zoom = int(
input("Enter your zoom level (less value zoom out , large value zoom in ) : ")... | code_fim | hard | {
"lang": "python",
"repo": "Ayush7614/Amazing-Python-Scripts",
"path": "/Gmplot-Track the Route/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if k == 0:
gmap.marker(lat, long, 'green')
k = 1
else:
gmap.marker(lat, long, 'blue')
k = 0
gmap.marker(lat, long, 'red')
print("Done! Check file Output.html")
gmap.draw("Output.html")<|fim_prefix|># repo: Ayush7614/Amazing-Python-Scripts p... | code_fim | hard | {
"lang": "python",
"repo": "Ayush7614/Amazing-Python-Scripts",
"path": "/Gmplot-Track the Route/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # To maintain O(1) insertion time DynamicArray must have a single type because of how they are stored in memory.
with pytest.raises(TypeError):
self.dynamicArray.insert("badType")
if __name__ == "__main__":
pytest.main()<|fim_prefix|># repo: HyperEntangledQubit/Data_Struc... | code_fim | hard | {
"lang": "python",
"repo": "HyperEntangledQubit/Data_Structures_and_Algorithms_in_Python",
"path": "/DynamicArray/TestDynamicArray.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HyperEntangledQubit/Data_Structures_and_Algorithms_in_Python path: /DynamicArray/TestDynamicArray.py
#!/usr/bin/env python3
"""
Unit Tests for DynamicArray
TODO - Add doctests to source
"""
import pytest
from DynamicArray import DynamicArray
class TestDynamicArray():
@classmethod
de... | code_fim | medium | {
"lang": "python",
"repo": "HyperEntangledQubit/Data_Structures_and_Algorithms_in_Python",
"path": "/DynamicArray/TestDynamicArray.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anatoliy-savchak/TemplePlus path: /tpdatasrc/co8infra/scr/Spell796 - Greater Vigor.py
from toee import *
def OnBeginSpellCast( spell ):
print "Lesser Vigor OnBeginSpellCast"
print "spell.target_list=", spell.target_list
print "spell.caster=", spell.caster, " caster.level= ", spell.caster_leve... | code_fim | medium | {
"lang": "python",
"repo": "anatoliy-savchak/TemplePlus",
"path": "/tpdatasrc/co8infra/scr/Spell796 - Greater Vigor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print "Lesser Vigor OnBeginRound"
def OnEndSpellCast( spell ):
print "Lesser Vigor OnEndSpellCast"
def heal_tick_greater_vigor( target, dice ):
target.heal( OBJ_HANDLE_NULL, dice )
target.healsubdual( OBJ_HANDLE_NULL, dice )<|fim_prefix|># repo: anatoliy-savchak/TemplePlus path: /tpdatasrc/co8infra... | code_fim | hard | {
"lang": "python",
"repo": "anatoliy-savchak/TemplePlus",
"path": "/tpdatasrc/co8infra/scr/Spell796 - Greater Vigor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tid = [1]
tdatas = []
for id in tid:
with open('journey-to-the-moon.t{}'.format(id), 'r') as fh:
na, pn = fh.readline().strip().split(' ')
astronaut = []
for i in range(int(pn)):
astronaut.append(map(in... | code_fim | hard | {
"lang": "python",
"repo": "johnklee/algprac",
"path": "/hackerrank/graph/medium/journey-to-the-moon.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: johnklee/algprac path: /hackerrank/graph/medium/journey-to-the-moon.py
#!/usr/bin/env python
r'''
https://www.hackerrank.com/challenges/journey-to-the-moon/problem
'''
import math
import os
import random
import re
import sys
class Node:
def __init__(self, v):
self.v = v
sel... | code_fim | hard | {
"lang": "python",
"repo": "johnklee/algprac",
"path": "/hackerrank/graph/medium/journey-to-the-moon.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Other distinct countury
for i in range(n):
if i not in ndict:
cty_list.append(set([i]))
print('Total {} unique countries...{}'.format(len(cty_list), cty_list))
# Calculate unique pairs
if len(cty_list) == 1:
return 0
elif len(cty_list) == 2:
... | code_fim | hard | {
"lang": "python",
"repo": "johnklee/algprac",
"path": "/hackerrank/graph/medium/journey-to-the-moon.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: emmett-framework/renoir path: /renoir/extensions.py
# -*- coding: utf-8 -*-
"""
renoir.extensions
-----------------
Provides base classes to create extensions.
:copyright: 2014 Giovanni Barillari
:license: BSD-3-Clause
"""
from typing import Any, Dict, Optional, Tuple, Type... | code_fim | hard | {
"lang": "python",
"repo": "emmett-framework/renoir",
"path": "/renoir/extensions.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Extension(metaclass=MetaExtension):
namespace: Optional[str] = None
file_extension: Optional[str] = None
lexers: Dict[str, Type[Lexer]] = {}
default_config: Dict[str, Any] = {}
def __init__(self, templater, namespace, env, config=None):
self.templater = templater
... | code_fim | hard | {
"lang": "python",
"repo": "emmett-framework/renoir",
"path": "/renoir/extensions.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mwoehlke-kitware/spartan path: /apps/iiwa/kuka_iiwa_state_translator.py
from director import consoleapp
from director import lcmUtils
from director import robotstate
import drake as lcmdrake
import bot_core as lcmbotcore
import numpy as np
lastGripperMsg = lcmdrake.lcmt_schunk_wsg_status()
last... | code_fim | medium | {
"lang": "python",
"repo": "mwoehlke-kitware/spartan",
"path": "/apps/iiwa/kuka_iiwa_state_translator.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> m = lcmbotcore.robot_state_t()
m.utime = msg.utime
m.pose = robotstate.getPoseLCMFromXYZRPY([0,0,0], [0,0,0])
m.twist = lcmbotcore.twist_t()
m.twist.linear_velocity = lcmbotcore.vector_3d_t()
m.twist.angular_velocity = lcmbotcore.vector_3d_t()
m.num_joints = len(jointNames)
... | code_fim | hard | {
"lang": "python",
"repo": "mwoehlke-kitware/spartan",
"path": "/apps/iiwa/kuka_iiwa_state_translator.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NassimSadallah/Ai_Demos_RPi path: /robot_rc/examples/robot_rc.py
#!/usr/bin/python
'''
Flask-powered web app for remote control
of ACROBOTIC's wheeled robot PyPi
'''
from flask import Flask, render_template
# Use the socketio module for using websockets
# for easily handling requests in real-time... | code_fim | hard | {
"lang": "python",
"repo": "NassimSadallah/Ai_Demos_RPi",
"path": "/robot_rc/examples/robot_rc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # I expect the message to be formatted in JSON so I can parse
# it as a Python dictionary and look for specific keys
direction = msg['direction'] # this will tell me how to move the motors
if direction != 'STP':
spd = int(msg['speed'])
if direction == 'FWD':
# Use the motor control o... | code_fim | hard | {
"lang": "python",
"repo": "NassimSadallah/Ai_Demos_RPi",
"path": "/robot_rc/examples/robot_rc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DuanShengqi/tf2_notes path: /class1/p41_argmax.py
import numpy as np
import tensorflow as tf
test = np.array([[<|fim_suffix|>的索引
print("每一行的最大值的索引", tf.argmax(test, axis=1)) # 返回每一行最大值的索引<|fim_middle|>1, 2, 3], [2, 3, 4], [5, 4, 3], [8, 7, 2]])
print("test:\n", test)
print("每一列的最大值的索引：", tf.arg... | code_fim | medium | {
"lang": "python",
"repo": "DuanShengqi/tf2_notes",
"path": "/class1/p41_argmax.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>的索引
print("每一行的最大值的索引", tf.argmax(test, axis=1)) # 返回每一行最大值的索引<|fim_prefix|># repo: DuanShengqi/tf2_notes path: /class1/p41_argmax.py
import numpy as np
import tensorflow as tf
test = np.array([[<|fim_middle|>1, 2, 3], [2, 3, 4], [5, 4, 3], [8, 7, 2]])
print("test:\n", test)
print("每一列的最大值的索引：", tf.arg... | code_fim | medium | {
"lang": "python",
"repo": "DuanShengqi/tf2_notes",
"path": "/class1/p41_argmax.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: reycn/Notion-Calendar-Sync path: /notioncalendarsync/notion_api.py
from datetime import datetime, timedelta
from notion.client import NotionClient
from notioncalendarsync.google_calendar import GoogleCalendar
class Notion(NotionClient):
def events(self, collection_url):
return [No... | code_fim | hard | {
"lang": "python",
"repo": "reycn/Notion-Calendar-Sync",
"path": "/notioncalendarsync/notion_api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def url(self):
return self.page.get_browseable_url()
@property
def description(self):
try:
return self.page.children[0].title
except:
return None<|fim_prefix|># repo: reycn/Notion-Calendar-Sync path: /notioncalendarsync/notion_api... | code_fim | hard | {
"lang": "python",
"repo": "reycn/Notion-Calendar-Sync",
"path": "/notioncalendarsync/notion_api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Chronos.sleep(5)
return "Authentic"
if __name__ == '__main__':
app.run(host='0.0.0.0', port=80)<|fim_prefix|># repo: KarimIO/Quantum-Inject-Detect path: /sampleserver.py
#!/usr/bin/env python2.7
import os as OS
import subprocess as Process
import site as Site
import time as Chronos
if 'F... | code_fim | medium | {
"lang": "python",
"repo": "KarimIO/Quantum-Inject-Detect",
"path": "/sampleserver.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KarimIO/Quantum-Inject-Detect path: /sampleserver.py
#!/usr/bin/env python2.7
import os as OS
import subprocess as Process
import site as Site
import time as Chronos
if 'FLASK_APP' not in OS.environ:
print "Running server..."
OS.environ['FLASK_APP'] = __file__
Process.call(['sudo', ... | code_fim | medium | {
"lang": "python",
"repo": "KarimIO/Quantum-Inject-Detect",
"path": "/sampleserver.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> if use_single_email() == emailauth_use_singe_email:
return func(*args, **kwds)
else:
raise Http404()
return wrapper
requires_single_email_mode = curry(require_emailauth_mode,
emailauth_use_singe_email=True)
requires_multi_emails_mode = curry(require_emaila... | code_fim | hard | {
"lang": "python",
"repo": "redvasily/django-emailauth",
"path": "/emailauth/utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: redvasily/django-emailauth path: /emailauth/utils.py
from django.conf import settings
from django.http import Http404
from django.utils.functional import curry
def email_verification_days():
return getattr(settings, 'EMAILAUTH_VERIFICATION_DAYS', 3)
def use_single_email():
return getatt... | code_fim | hard | {
"lang": "python",
"repo": "redvasily/django-emailauth",
"path": "/emailauth/utils.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> "search for legal advisers on LAALAA"
with self.app.test_client():
laalaa.find("sw1a1aa")
def test_can_access_sendgrid(self):
"connect to SendGrid"
with self.app.test_client():
self.app.mail.connect()
def test_can_access_backend(self):
... | code_fim | hard | {
"lang": "python",
"repo": "ministryofjustice/cla_public",
"path": "/cla_public/apps/checker/tests/smoketests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> "connect to SendGrid"
with self.app.test_client():
self.app.mail.connect()
def test_can_access_backend(self):
"connect to the backend"
with self.app.test_client():
api.get_api_connection()
def test_can_use_scope_diagnosis(self):
"us... | code_fim | hard | {
"lang": "python",
"repo": "ministryofjustice/cla_public",
"path": "/cla_public/apps/checker/tests/smoketests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ministryofjustice/cla_public path: /cla_public/apps/checker/tests/smoketests.py
import os
import unittest
import urlparse
from bs4 import BeautifulSoup
from cla_common.address_lookup.ordnance_survey import AddressLookup
from flask import url_for, _request_ctx_stack
from cla_public import app
fr... | code_fim | hard | {
"lang": "python",
"repo": "ministryofjustice/cla_public",
"path": "/cla_public/apps/checker/tests/smoketests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.phantom_js(
"/pos/web",
"odoo.__DEBUG__.services['web_tour.tour']"
".run('pos_product_category_discount_tour')",
"odoo.__DEBUG__.services['web_tour.tour']"
".tours.pos_product_category_discount_tour.ready",
login="admin",... | code_fim | hard | {
"lang": "python",
"repo": "ShaheenHossain/itpp-labs_pos-addons",
"path": "/pos_product_category_discount/tests/test_default.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ShaheenHossain/itpp-labs_pos-addons path: /pos_product_category_discount/tests/test_default.py
# -*- coding: utf-8 -*-
import odoo.tests
from odoo.api import Environment
@odoo.tests.common.at_install(True)
@odoo.tests.common.post_install(True)
class TestUi(odoo.tests.HttpCase):
def test_01_... | code_fim | hard | {
"lang": "python",
"repo": "ShaheenHossain/itpp-labs_pos-addons",
"path": "/pos_product_category_discount/tests/test_default.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> env["ir.module.module"].search(
[("name", "=", "pos_product_category_discount")], limit=1
).state = "installed"
self.phantom_js(
"/pos/web",
"odoo.__DEBUG__.services['web_tour.tour']"
".run('pos_product_category_discount_tour')",
... | code_fim | hard | {
"lang": "python",
"repo": "ShaheenHossain/itpp-labs_pos-addons",
"path": "/pos_product_category_discount/tests/test_default.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> shutil.copy2("tests/fixtures/csv-to-xml.csv", tmp_dir.name + "/csv-to-xml.csv")
shutil.copy2("funcake_dags/scripts/csv_to_xml.py", tmp_dir.name + "/csv_to_xml.py")
os.chdir(tmp_dir.name)
output = os.system("DAGID=foo TIMESTAMP=bar python csv_to_xml.py")
# If this f... | code_fim | hard | {
"lang": "python",
"repo": "tulibraries/funcake_dags",
"path": "/tests/csv_to_xml_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tulibraries/funcake_dags path: /tests/csv_to_xml_test.py
import unittest
from funcake_dags.scripts.csv_to_xml import csv_reader_to_xml_string, Counter
import csv
import shutil
import tempfile
import os
class TestCsvToXml(unittest.TestCase):
def test_csv_reader_to_xml_string(self):
c... | code_fim | medium | {
"lang": "python",
"repo": "tulibraries/funcake_dags",
"path": "/tests/csv_to_xml_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Find the position of the wheel relative to the body
try:
(translation, rotation) = self.tf_listener.lookupTransform(
"base_link", wheel_name, rospy.Time(0))
except:
rospy.logerr("Transform bet... | code_fim | hard | {
"lang": "python",
"repo": "Nurgak/rover_locomotion",
"path": "/src/rover_locomotion.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nurgak/rover_locomotion path: /src/rover_locomotion.py
#!/usr/bin/env python
import rospy
import math
import tf
from std_msgs.msg import Float64
from geometry_msgs.msg import Twist
class Locomotion():
def __init__(self):
# Get the locomotion joints controllers from the yaml file
... | code_fim | hard | {
"lang": "python",
"repo": "Nurgak/rover_locomotion",
"path": "/src/rover_locomotion.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> rospy.logdebug("Setting new speed, linear: %fm/s, angular: %frad/s" %
(v_linear, v_angular))
# Stop the motors
if v_angular == 0 and v_linear == 0:
rospy.logdebug("Stopping all drive wheels")
for joint_name in self.joint_pub:
... | code_fim | hard | {
"lang": "python",
"repo": "Nurgak/rover_locomotion",
"path": "/src/rover_locomotion.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: spedas/pyspedas path: /pyspedas/mms/fgm/mms_split_fgm_data.py
import logging
from pytplot import data_exists
from pytplot import get_data, store_data, options
logging.captureWarnings(True)
logging.basicConfig(format='%(asctime)s: %(message)s', datefmt='%d-%b-%y %H:%M:%S', level=logging.INFO)
... | code_fim | hard | {
"lang": "python",
"repo": "spedas/pyspedas",
"path": "/pyspedas/mms/fgm/mms_split_fgm_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> options(tplot_name + '_btot' + suffix, 'legend_names', 'Bmag')
options(tplot_name + '_btot' + suffix, 'ytitle', 'MMS'+probe + ' FGM')
out_vars.append(tplot_name + '_bvec' + suffix)
out_vars.append(tplot_name + '_btot' + suffix)
return out_vars<|fim_prefix|># repo: spe... | code_fim | hard | {
"lang": "python",
"repo": "spedas/pyspedas",
"path": "/pyspedas/mms/fgm/mms_split_fgm_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> await asyncio.gather(*tasks)
async def _resetup_platform(
opp: OpenPeerPower,
integration_name: str,
integration_platform: str,
unprocessed_conf: ConfigType,
) -> None:
"""Resetup a platform."""
integration = await async_get_integration(opp, integration_platform)
conf = ... | code_fim | hard | {
"lang": "python",
"repo": "OpenPeerPower/core",
"path": "/openpeerpower/helpers/reload.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenPeerPower/core path: /openpeerpower/helpers/reload.py
"""Class to reload platforms."""
from __future__ import annotations
import asyncio
from collections.abc import Iterable
import logging
from openpeerpower import config as conf_util
from openpeerpower.const import SERVICE_RELOAD
from open... | code_fim | hard | {
"lang": "python",
"repo": "OpenPeerPower/core",
"path": "/openpeerpower/helpers/reload.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> root_config[integration_platform].append(p_config)
component = integration.get_component()
if hasattr(component, "async_reset_platform"):
# If the integration has its own way to reset
# use this method.
await component.async_reset_platform(opp, integration_name) ... | code_fim | hard | {
"lang": "python",
"repo": "OpenPeerPower/core",
"path": "/openpeerpower/helpers/reload.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PL-96/pytorch-U-net path: /predict.py
import torch
from torchvision import transforms
from ptsemseg.models.unet_pl import unet_pl
import os
from train_pl import CrackDataset
from torch.utils.data import DataLoader, Dataset
import cv2
import numpy as np
import torch.nn.functional as F
imp... | code_fim | hard | {
"lang": "python",
"repo": "PL-96/pytorch-U-net",
"path": "/predict.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>testdataset = CrackDataset(test_images,
test_labels)
test_loader = DataLoader(testdataset, batch_size = 2, shuffle = False)
with torch.no_grad():
for data in test_loader:
images, labels = data
images, labels = images.to(device, dtype = torch.float32... | code_fim | medium | {
"lang": "python",
"repo": "PL-96/pytorch-U-net",
"path": "/predict.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def test_tx_prefix(self):
"""
Transaction prefix
:return:
"""
data_hex = pkg_resources.resource_string(__name__, os.path.join('data', 'tx_prefix_01.txt'))
data_bin = binascii.unhexlify(data_hex)
reader = x.MemoryReaderWriter(bytearray(data_... | code_fim | hard | {
"lang": "python",
"repo": "ph4r05/monero-serialize",
"path": "/monero_serialize/tests/test_xmr_boost.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ph4r05/monero-serialize path: /monero_serialize/tests/test_xmr_boost.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import random
import unittest
import binascii
import json
import os
import pkg_resources
import asyncio
import aiounittest
from .test_data import XmrTestData
from .. import xmrs... | code_fim | hard | {
"lang": "python",
"repo": "ph4r05/monero-serialize",
"path": "/monero_serialize/tests/test_xmr_boost.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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