Unnamed: 0 int64 0 15.9k | cleaned_code stringlengths 67 124k ⌀ | cleaned_prompt stringlengths 168 30.3k ⌀ |
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6,700 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import os
import sys
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import flopy
from flopy.utils.gridgen import Gridgen
print(sys.version)
print('numpy version: {}'.format(np.__version__))
print('matplotlib version: {}'.format(mpl.__versio... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Setup Base MODFLOW Grid
Step2: Create the Gridgen Object
Step3: Add an Optional Active Domain
Step4: Refine the Grid
Step5: Plot the Gridgen... |
6,701 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import scipy.stats
amean = -0.0896
avar = 0.954
anobs = 40
bmean = 0.719
bvar = 11.87
bnobs = 50
_, p_value = scipy.stats.ttest_ind_from_stats(amean, np.sqrt(avar), anobs, bmean, np.sqrt(bvar), bnobs, equal_var=False)
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
|
6,702 | <ASSISTANT_TASK:>
Python Code:
import warnings
# Suppresing warnings for a "pretty output."
warnings.simplefilter("ignore")
%%writefile config.yaml
# Specify a YYYY-MM-DD hh:mm:ss date or integer day offset.
# If both start and stop are offsets they will be computed relative to datetime.today() at midnight.
# Use the ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: This notebook is quite big and complex,
Step2: We'll print some of the search configuration options along the way to keep track of them.
Step3:... |
6,703 | <ASSISTANT_TASK:>
Python Code:
def shout(word="yes"):
return word.capitalize()+"!"
shout()
# As an object, you can assign the function to a variable like any other object
scream = shout
# Notice we don't use parentheses: we are not calling the function,
# we are putting the function "shout" into the variable "scre... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Functions inside another functions
Step2: Function references
Step3: With getTalk() we return the shout function and then with ("HellO"), we p... |
6,704 | <ASSISTANT_TASK:>
Python Code:
# Author: Denis A. Engemann <denis.engemann@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Jean-Remi King <jeanremi.king@gmail.com>
#
# License: BSD (3-clause)
import os
import numpy as np
import matplotlib.pyplot as plt
from sklearn.pipeline i... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Set parameters
Step2: Compute inverse solution
Step3: Decoding in sensor space using a logistic regression
Step4: To investigate weights, we ... |
6,705 | <ASSISTANT_TASK:>
Python Code:
# Antes de tudo, importamos o pacote matemático numpy
# que nos permite manipular matrizes e vetores.
import numpy as np
# Declaramos uma função onde colocaremos todo o código
# para integração de Euler, que poderemos invocar facilmente
# sempre que quisermos integrar numericamente uma e... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Escrever uma descrição para documentar nossas funções logo abaixo da sua declaração nos permite extrair informações delas utilizando o comando h... |
6,706 | <ASSISTANT_TASK:>
Python Code:
x1 = np.random.uniform(size=500)
x2 = np.random.uniform(size=500)
fig = plt.figure();
ax = fig.add_subplot(1,1,1);
ax.scatter(x1,x2, edgecolor='black', s=80);
ax.grid();
ax.set_axisbelow(True);
ax.set_xlim(-0.25,1.25); ax.set_ylim(-0.25,1.25)
ax.set_xlabel('Pixel 2'); ax.set_ylabel('Pixel... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Any one point inside the unit square would represent an image. For example the image associated with the point $(0.25,0.85)$ is shown below.
Ste... |
6,707 | <ASSISTANT_TASK:>
Python Code:
raw_corpus = ["Human machine interface for lab abc computer applications",
"A survey of user opinion of computer system response time",
"The EPS user interface management system",
"System and human system engineering testing of EPS",
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: This is a particularly small example of a corpus for illustration purposes. Another example could be a list of all the plays written by Shakespe... |
6,708 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import os
import random
import community
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from tribe.utils import *
from tribe.stats import *
from operator import itemgetter
## Some Helper constants
FIXTURES = os.path.join(os.getcwd(), "fixtures"... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The basics of creating a NetworkX Graph
Step2: For testing and diagnostics it's useful to generate a random Graph. NetworkX comes with several ... |
6,709 | <ASSISTANT_TASK:>
Python Code:
# Load scored diffs and moderation event data
d = load_diffs()
df_block_events, df_blocked_user_text = load_block_events_and_users()
df_warn_events, df_warned_user_text = load_warn_events_and_users()
moderated_users = [('warned', df_warned_user_text),
('blocked', df_blo... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Q
Step2: The probability of being blocked after making a personal attack and increases as a function of how many times the user has been blocke... |
6,710 | <ASSISTANT_TASK:>
Python Code:
# BE SURE TO RUN THIS CELL BEFORE ANY OF THE OTHER CELLS
import psycopg2
import pandas as pd
import re
# pull in our stopwords
from nltk.corpus import stopwords
stops = stopwords.words('english')
# define our query
statement =
SELECT lower(t.text) as tweet, lower(h.text) as hashtag
FROM... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: Our query this time is going to extract the both the hashtag and the tweets associated with the hashtag. We are going to created documents full ... |
6,711 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import math
import numpy as np
from matplotlib import pyplot as plt
from pyphysim.modulators.fundamental import BPSK, QAM, QPSK, Modulator
from pyphysim.simulations import Result, SimulationResults, SimulationRunner
from pyphysim.util.conversion import dB2Linear
from py... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Visualize the constellation
Step2: Transmit though the channel
Step3: Let's see the obtained error value. However, note that in order to get t... |
6,712 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import os
assert os.path.isfile('yearssn.dat')
data=np.loadtxt('yearssn.dat')
year = data[:,0]
ssc = data[:,1]
assert len(year)==315
assert year.dtype==np.dtype(float)
assert len(ssc)==315
assert ssc.dtype==np.dtype(f... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Line plot of sunspot data
Step2: Use np.loadtxt to read the data into a NumPy array called data. Then create two new 1d NumPy arrays named year... |
6,713 | <ASSISTANT_TASK:>
Python Code:
N_members = 1254
N_respondents = 100
p = 0.6
N_yes = int(N_members*p)
N_no = int(N_members*(1-p))
runs = 10000 # sufficient to get good statistics
votes_samples = np.vstack(([
np.random.choice(
np.hstack((np.ones(N_yes), np.zeros(N_no))),
siz... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Now let's simulate different voting outcomes
Step2: With with 2 standard deviations (sigma) margin, we have 98% certainty (only looking at one ... |
6,714 | <ASSISTANT_TASK:>
Python Code:
from sklearn.datasets import load_iris
iris = load_iris()
iris.keys()
n_samples, n_features = iris.data.shape
print(n_samples)
print(n_features)
# the sepal length, sepal width, petal length and petal width of the first sample (first flower)
print(iris.data[0])
print(iris.data.shape)
p... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The resulting dataset is a Bunch object
Step2: The features of each sample flower are stored in the data attribute of the dataset
Step3: The i... |
6,715 | <ASSISTANT_TASK:>
Python Code:
import datetime
import matplotlib.pyplot as plt
import pandas as pd
import pinkfish as pf
import strategy
# Format price data.
pd.options.display.float_format = '{:0.2f}'.format
%matplotlib inline
# Set size of inline plots.
'''note: rcParams can't be in same cell as import matplotlib
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Some global data
Step2: Run Strategy
Step3: View logs
Step4: Generate strategy stats - display all available stats
Step5: Run Benchmark, Ret... |
6,716 | <ASSISTANT_TASK:>
Python Code:
new_data.crs = {'init':'epsg:4326'}
new_data = new_data.to_crs("+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs ")
new_data['newLon'] = new_data.apply(lambda c : c.geometry.x, axis=1)
new_data['newLat'] = new_data.apply(... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Uncomment to reproject
Step2: The area is very big -> 35000 points.
Step3: Residuals
Step4: Residuals of $ Biomass ~ SppRich + Z(x,y) + \epsi... |
6,717 | <ASSISTANT_TASK:>
Python Code:
from pyspark.sql import SQLContext, Row
sqlContext = SQLContext(sc)
sqlContext
from pyspark.sql import HiveContext, Row
sqlContext= HiveContext(sc)
sqlContext
jsonfile = "file:///opt/spark-1.4.1-bin-hadoop2.6/examples/src/main/resources/people.json"
df = sqlContext.read.load(jsonfile, fo... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: HiveContext, a superset of SQLContext, was recommended for most use cases. Please make sure you are using HiveContext now!
Step2: Show time
Ste... |
6,718 | <ASSISTANT_TASK:>
Python Code:
# read the data into a DataFrame
import pandas as pd
url = 'https://raw.githubusercontent.com/kjones8812/DAT4-students/master/kerry/Final/NBA_players_2015.csv'
nba = pd.read_csv(url, index_col=0)
nba.head()
# examine the columns
# examine the positions
# map positions to numbers
# create... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Step 2
Step2: Step 3
Step3: Step 4
Step4: Step 5
Step5: Bonus
|
6,719 | <ASSISTANT_TASK:>
Python Code:
# 基础库导入
from __future__ import print_function
from __future__ import division
import warnings
warnings.filterwarnings('ignore')
warnings.simplefilter('ignore')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import ipywidgets
%matplotlib inline
import os
import sys
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 1. 比特币 vs 黄金 ？莱特币 vs 白银 ？
Step2: 接下来从内置期货symbol数据中查到国际期货黄金，白银的code：
Step3: 将上述期货黄金，白银产品和比特币，莱特币一起做交易数据获取，如下：
Step4: 只使用正负号相关度计算，如下所示：
Step5: ... |
6,720 | <ASSISTANT_TASK:>
Python Code:
import sys
sys.path.append('../src/')
import opencourse as oc
import numpy as np
import scipy.stats as stt
import matplotlib.pyplot as plt
import pandas as pd
from scipy import polyfit
from scipy.ndimage.filters import gaussian_filter1d
%matplotlib inline
# Below we'll plot the PDF of a n... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Take and $\beta_0=3$ and $\beta_1=5$, then we can generate a dataset from our statistical model, such as the one pictured below. In black we plo... |
6,721 | <ASSISTANT_TASK:>
Python Code:
from SeisCL import SeisCL
import numpy as np
import matplotlib.pyplot as plt
import os
seis = SeisCL()
help(seis.__init__)
seis.ND = 2 # Number of dimension
seis.N = np.array([250, 250]) # Grid size [NZ, NX, NY]
seis.dh = dh = 2 ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: SeisCL is controlled by a single class in python that will group all relevant information to perform forward and adjoint modeling. The class cre... |
6,722 | <ASSISTANT_TASK:>
Python Code:
from jyquickhelper import add_notebook_menu
add_notebook_menu()
from pyquickhelper.ipythonhelper import open_html_form
params = {"module":"", "version":"v..."}
open_html_form(params, "fill the fields", "form1")
form1
from pyquickhelper.ipythonhelper import open_html_form
params= {"login... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Form
Step2: With a password
Step3: To excecute an instruction when the button Ok is clicked
Step4: Animated output
Step5: In order to have a... |
6,723 | <ASSISTANT_TASK:>
Python Code:
import tkinter as tk
class Application(tk.Frame):
def __init__(self, master=None):
tk.Frame.__init__(self, master)
self.pack()
self.createWidgets()
def createWidgets(self):
self.hi_there = tk.Button(self)
self.hi_there["text"] = "Hello World... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Although this works, it is visually unappealing. We can improve on this using styles and themes.
Step2: As our applications get more complicate... |
6,724 | <ASSISTANT_TASK:>
Python Code:
#@title 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: 過学習と学習不足について知る
Step2: IMDBデータセットのダウンロード
Step3: 結果として得られるマルチホットベクトルの1つを見てみましょう。単語のインデックスは頻度順にソートされています。このため、インデックスが0に近いほど１が多く出現するはずです。分布を見てみましょ... |
6,725 | <ASSISTANT_TASK:>
Python Code:
# change these to try this notebook out
BUCKET = 'cloud-training-demos-ml'
PROJECT = 'cloud-training-demos'
REGION = 'us-central1'
import os
os.environ['BUCKET'] = BUCKET
os.environ['PROJECT'] = PROJECT
os.environ['REGION'] = REGION
%datalab project set -p $PROJECT
!pip install --upgrade ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: The idea is to look at the title of a newspaper article and figure out whether the article came from the New York Times or from TechCrunch. Ther... |
6,726 | <ASSISTANT_TASK:>
Python Code:
import sys
try:
sys.path.append('E:/Remote/chartpy')
except:
pass
# support Quandl 3.x.x
try:
import quandl as Quandl
except:
# if import fails use Quandl 2.x.x
import Quandl
from chartpy import Chart, Style, Canvas
# get your own free Quandl API key from https://www.... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: We need to download the data in order to plot. Let's use Quandl for this (although, I'd very much recommend using my library findatapy which pro... |
6,727 | <ASSISTANT_TASK:>
Python Code:
#@title Run to install MuJoCo and `dm_control`
import distutils.util
import subprocess
if subprocess.run('nvidia-smi').returncode:
raise RuntimeError(
'Cannot communicate with GPU. '
'Make sure you are using a GPU Colab runtime. '
'Go to the Runtime menu and select Cho... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Imports
Step3: Model definition, compilation and rendering
Step5: static_model is written in MuJoCo's XML-based MJCF modeling language. The fr... |
6,728 | <ASSISTANT_TASK:>
Python Code:
import pymks
%matplotlib inline
%load_ext autoreload
%autoreload 2
import numpy as np
import matplotlib.pyplot as plt
from pymks.datasets import make_elastic_stress_random
sample_size = 200
grain_size = [(15, 2), (2, 15), (7, 7), (8, 3), (3, 9), (2, 2)]
n_samples = [sample_size] * 6
elas... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Data Generation
Step2: The array X contains the microstructure information and has the dimensions
Step3: Lets take a look at the 6 types the ... |
6,729 | <ASSISTANT_TASK:>
Python Code:
# install Pint if necessary
try:
import pint
except ImportError:
!pip install pint
# download modsim.py if necessary
from os.path import exists
filename = 'modsim.py'
if not exists(filename):
from urllib.request import urlretrieve
url = 'https://raw.githubusercontent.com/A... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Jupyter
Step2: If the previous cell runs without producing any error messages, you are all set.
Step3: A variable is a name that corresponds t... |
6,730 | <ASSISTANT_TASK:>
Python Code:
#@title Licensed under the Apache License, Version 2.0 (the "License"); { display-mode: "form" }
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: TFP Probabilistic Layers
Step2: Make things Fast!
Step3: Note
Step4: Note that preprocess() above returns image, image rather than just image... |
6,731 | <ASSISTANT_TASK:>
Python Code:
vm_image_project='deeplearning-platform-release'
vm_image_family='tf-ent-2-8-cu113-notebooks'
machine_type='n1-standard-8'
location='us-central1-a'
accelerator_type='CHOOSE' # eg, 'NVIDIA_TESLA_V100'
accelerator_cores=1
project='MY_PROJECT_ID'
instance_name='MY_INSTANCE_NAME'
print('Run t... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Remember that these machines are expensive, many hundreds of dollars a month. So make sure you stop the VM when you are not using it, either at ... |
6,732 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
json_file = 'sample_data'
list(pd.read_json(json_file, lines=True))
import csv
import json
from nltk.tokenize import TweetTokenizer
from tqdm import tqdm
MIN_NUM_WORD_TOKENS = 10
TOTAL_NUM_LINES = 53851542 # $ wc -l data_full.json
PBAR_UPDATE_SIZE = 10000
tokenizer ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Transform the full JSON file into a CSV, removing any stuff that we won't need
Step3: Creates CSVs of text from comments made by users who have... |
6,733 | <ASSISTANT_TASK:>
Python Code:
!pip install hanlp_restful
from hanlp_restful import HanLPClient
HanLP = HanLPClient('https://www.hanlp.com/api', auth=None, language='zh') # auth不填则匿名，zh中文，mul多语种
doc = HanLP.parse("2021年HanLPv2.1为生产环境带来次世代最先进的多语种NLP技术。阿婆主来到北京立方庭参观自然语义科技公司。")
print(doc)
doc.pretty_print()
!pip instal... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: 创建客户端，填入服务器地址：
Step2: 调用parse接口，传入一篇文章，得到HanLP精准的分析结果。
Step3: 可视化
Step4: 申请秘钥
Step5: 加载模型
Step6: 调用hanlp.load进行加载，模型会自动下载到本地缓存。自然语言处理分为许多任务... |
6,734 | <ASSISTANT_TASK:>
Python Code:
np.random.seed(10)
p, q = (np.random.rand(i, 2) for i in (4, 5))
p_big, q_big = (np.random.rand(i, 80) for i in (100, 120))
print(p, "\n\n", q)
def naive(p, q):
''' fill your code in here...
'''
rows, cols = np.indices((p.shape[0], q.shape[0]))
print(rows, end='\n\n')
print(cols... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Solution
Step2: Use matching indices
Step3: Use a library
Step4: Numpy Magic
Step5: Compare methods
|
6,735 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import tensorflow as tf
with open('reviews.txt', 'r') as f:
reviews = f.read()
with open('labels.txt', 'r') as f:
labels = f.read()
reviews[:2000]
from string import punctuation
all_text = ''.join([c for c in reviews if c not in punctuation])
reviews = all_text... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Data preprocessing
Step2: Encoding the words
Step3: Encoding the labels
Step4: Okay, a couple issues here. We seem to have one review with ze... |
6,736 | <ASSISTANT_TASK:>
Python Code:
!git rev-parse HEAD
from copy import deepcopy
from datetime import timedelta
from itertools import product
import logging
from math import floor, ceil, log10
import pickle
from random import sample, seed, shuffle
from time import time
import numpy as np
import pandas as pd
from tqdm impor... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Benchmark
Step2: Implement Levenshtein term similarity matrix
Step3: Director class benchmark
Step4: The following tables show how long it ta... |
6,737 | <ASSISTANT_TASK:>
Python Code:
DON'T MODIFY ANYTHING IN THIS CELL
import helper
import problem_unittests as tests
source_path = 'data/small_vocab_en'
target_path = 'data/small_vocab_fr'
source_text = helper.load_data(source_path)
target_text = helper.load_data(target_path)
view_sentence_range = (0, 10)
DON'T MODIFY AN... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Language Translation
Step3: Explore the Data
Step6: Implement Preprocessing Function
Step8: Preprocess all the data and save it
Step10: Chec... |
6,738 | <ASSISTANT_TASK:>
Python Code:
from yahoo_finance import Share
import numpy as np
#for this Example I will use google's finances
#create an instance of Share
google = Share('GOOG')
#now that an instance of Share is created (google), we will call its functions to get the prices
#date and time of the trade
date = googl... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: First we need to create an instance of Share. Using that instance we will get prices, volumes, ratios and all other company information
Step2: ... |
6,739 | <ASSISTANT_TASK:>
Python Code:
import matplotlib.pyplot as plt
import numpy as np
import PyAstronomy.pyasl as pyasl
import eniric
from eniric import config
from eniric.broaden import rotational_convolution, resolution_convolution
from eniric.utilities import band_limits, load_aces_spectrum, wav_selector
from scripts.ph... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Load data
Step2: Timing Convolutions
Step3: The rotational convolution in eniric is ~10x faster than
Step4: Resolution convolution is around ... |
6,740 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import keras
import h5py
import time
from matplotlib import gridspec
datadir = ""
mean_and_std = np.load(datadir + 'mean_and_std.npy')
mean_labels = mean_and_std[0]
std_labels = mean_and_std[1]
num_labels = mean_and... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Obtain data for normalizing labels and define function to denormalize labels**
Step2: Define functions to obtain test data
Step3: Load test da... |
6,741 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import matplotlib.image as mpimg
from matplotlib import rcParams
import seaborn as sb
%matplotlib inline
rcParams['figure.figsize'] = 5, 4
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Set up inline matplotlib
Step2: Import Game Modules From a Given Path
Step3: Setting Up Game Parameters
Step4: seed PRNG
Step5: Set up the s... |
6,742 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
porsche = pd.read_csv("PorschePrice.csv")
porsche.shape
porsche.head(5)
porsche = porsche.rename(columns = {'Unnamed: 0':'Number'})
porsche.head(5)
porsche.describe()
import seaborn as sns
import matplotlib.pyplot as plt
sns.pairplot(porsche[["Price", "Age", "Mileag... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Explore the Dataset
Step2: Plotting Using Seaborn and PyPlot
Step3: Pairplot
Step4: Radial Visualization
Step5: Vertical Barchart
Step6: Ho... |
6,743 | <ASSISTANT_TASK:>
Python Code:
import os
from datetime import timedelta
import mne
sample_data_folder = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample',
'sample_audvis_raw.fif')
raw = mne.io.read_raw_fif(sample_data_raw_file, ve... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: ~mne.Annotations in MNE-Python are a way of storing short strings of
Step2: Notice that orig_time is None, because we haven't specified it. In
... |
6,744 | <ASSISTANT_TASK:>
Python Code:
from spirack import SPI_rack, B2b_module, D5a_module, D4b_module
import logging
from time import sleep
from tqdm import tqdm_notebook
import numpy as np
from scipy import signal
from plotly.offline import init_notebook_mode, iplot, plot
import plotly.graph_objs as go
init_notebook_mode(co... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Open the SPI rack connection and unlock the controller. This is necessary after bootup of the controller module. If not unlocked, no communicati... |
6,745 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from IPython.display import HTML
HTML('../style/course.css') #apply general CSS
from IPython.display import display
from ipywidgets import *
from mpl_toolkits.mplot3d import Axes3D
import plotBL
HTML('../style/code_to... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Import section specific modules
Step2: 4.5.2 $uv$ coverage
Step3: From the list above, you can select different configurations corresponding ... |
6,746 | <ASSISTANT_TASK:>
Python Code:
import os
import numpy as np
import matplotlib.pyplot as plt
import mne
sample_data_folder = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample',
'sample_audvis_raw.fif')
raw = mne.io.read_raw_fif(sam... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Loading continuous data
Step2: As you can see above,
Step3: By default, the
Step4: Querying the Raw object
Step5: <div class="alert alert-... |
6,747 | <ASSISTANT_TASK:>
Python Code:
reset_start_time(O.just)
stream = O.just({'answer': rand()})
disposable = subs(stream)
sleep(0.5)
disposable = subs(stream) # same answer
# all stream ops work, its a real stream:
disposable = subs(stream.map(lambda x: x.get('answer', 0) * 2))
print('There is a little API difference to R... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: ..that was returned from a function called at subscribe-time
Step2: ..that was returned from an Action, Callable, Runnable, or something of tha... |
6,748 | <ASSISTANT_TASK:>
Python Code:
import this
import requests
url = 'https://github.com/lamenezes/python-intro' # não é necessário declarar variáveis em python
response = requests.get(url) # e nem especificar seu tipo
response.status_code
print(response.headers)
dict(response.headers)
response.headers['content-type... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Agora é hora de por as mãos na massa! Vamos do começo
Step2: Agora vamos fazer uma requisição HTTP ao Github para baixar o conteúdo do repositó... |
6,749 | <ASSISTANT_TASK:>
Python Code:
#@title Licensed under the Apache License, Version 2.0 (the "License"); { display-mode: "form" }
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Variational Inference on Probabilistic Graphical Models with Joint Distributions
Step2: The regression model is specified as follows
Step3: Ex... |
6,750 | <ASSISTANT_TASK:>
Python Code:
# Выполним инициализацию основных используемых модулей
%matplotlib inline
import random
import matplotlib.pyplot as plt
from sklearn.preprocessing import normalize
import numpy as np
with open('winequality-red.csv') as f:
f.readline() # пропуск заголовочной строки
data = np.load... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Выполним загрузку данных
Step2: В качестве альтернативного варианта, можно выполнить загрузку данных напрямую из репозитория UCI, воспользовавш... |
6,751 | <ASSISTANT_TASK:>
Python Code:
# Load Biospytial modules and etc.
%matplotlib inline
import sys
sys.path.append('/apps')
sys.path.append('..')
sys.path.append('../spystats')
import django
django.setup()
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
## Use the ggplot style
plt.style.use('ggplot'... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Use this to automate the process. Be carefull it can overwrite current results
Step2: Now we will obtain the data from the calculated empirical... |
6,752 | <ASSISTANT_TASK:>
Python Code:
from proxy.http.parser import HttpParser, httpParserTypes
from proxy.http import httpMethods
from proxy.common.utils import HTTP_1_1
request = HttpParser(httpParserTypes.REQUEST_PARSER)
request.path, request.method, request.version = b'/', httpMethods.GET, HTTP_1_1
request.add_header(b'Ho... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: But, this is a painful way to construct request packets. Hence, other high level abstractions are available.
Step2: build_http_request ensures... |
6,753 | <ASSISTANT_TASK:>
Python Code:
%%bash
export PROJECT=$(gcloud config list project --format "value(core.project)")
echo "Your current GCP Project Name is: "$PROJECT
!pip install tensorflow==2.1.0 --user
import os, json, math
import numpy as np
import shutil
import logging
# SET TF ERROR LOG VERBOSITY
logging.getLogger(... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Let's make sure we install the necessary version of tensorflow. After doing the pip install above, click Restart the kernel on the notebook so t... |
6,754 | <ASSISTANT_TASK:>
Python Code:
from __future__ import print_function
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
%matplotlib inline
from datetime import date
date.today()
author = "kyubyong. https://github.com/Kyubyong/tensorflow-exercises"
tf.__version__
np.__version__
_x = np.linspace(... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Activation Functions
Step2: Q2. Apply sigmoid and tanh to x.
Step3: Q3. Apply softmax to x.
Step4: Q4. Apply dropout with keep_prob=.5 to x.
... |
6,755 | <ASSISTANT_TASK:>
Python Code:
%load_ext sql
%sql mysql://steinam:steinam@localhost/versicherung_complete
% load_ext sql
%%sql
select Personalnummer, Name, Vorname
from Mitarbeiter
where Abteilung_ID =
( select ID from Abteilung
where Kuerzel = 'Schadensabwicklung' );
%%sql
select Personalnummer, Name, Vorn... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1:
Step2: Vertreter für Wert
Step3: Lösung
Step4: Vertreter für Spaltenfunktionen
Step5: Aufgabe
Step6: Bemerkung
Step7: Aufgabe
Step8: Ver... |
6,756 | <ASSISTANT_TASK:>
Python Code:
import folium
from folium import plugins
m = folium.Map([45, 3], zoom_start=4)
plugins.ScrollZoomToggler().add_to(m)
m
import numpy as np
N = 100
data = np.array(
[
np.random.uniform(low=35, high=60, size=N), # Random latitudes in Europe.
np.random.uniform(low=-12, h... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: MarkerCluster
Step2: Terminator
Step3: BoatMarker
Step4: BeautifyIcon
Step5: Fullscreen
Step7: Timestamped GeoJSON
Step8: FeatureGroupSubG... |
6,757 | <ASSISTANT_TASK:>
Python Code:
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns # Seaborn is a Python data visualization library based on matplotlib.
%matplotlib inline
df_USAhousing = pd.read_csv('../USA_Housing_toy.csv')
# Show the first five row.
df_USAhous... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Load the Dataset
Step2: Let's check for any null values.
Step3: Let's take a peek at the first and last five rows of the data for all columns.... |
6,758 | <ASSISTANT_TASK:>
Python Code:
import sys
import os
import ee
# This script assumes your authentification credentials are stored as operatoring system
# environment variables.
__MY_SERVICE_ACCOUNT = os.environ.get('MY_SERVICE_ACCOUNT')
__MY_PRIVATE_KEY_FILE = os.environ.get('MY_PRIVATE_KEY_FILE')
# Initialize the Earth... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Load the Crisis Mapping Toolkit
Step2: Load a domain
Step3: Display the domain
Step4: A GUI should appear in a seperate window displaying the... |
6,759 | <ASSISTANT_TASK:>
Python Code:
print(2)
print("is even.")
print(2, "is even.")
print(1, 2, 3)
print(1, 2, 3, sep='|')
print(1)
print(2)
print(3)
print(1, end=' ')
print(2, end=' ')
print(3, end=' ')
print('%d is odd, %d is even' % (3, 4))
print('Hello %s!' % 'Pesho')
<END_TASK> | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Можем да променим разделителя като добавим аргумент sep='<<разделител>>'.
Step2: По подразбиране print поставя символ за край на ре... |
6,760 | <ASSISTANT_TASK:>
Python Code:
import time
import sys
import os
from PIL import Image
from pyDrivers.ada_lcd import *
import pyDrivers.ILI9341 as TFT
import Adafruit_GPIO as GPIO
import Adafruit_GPIO.SPI as SPI
myGPIO = GPIO.get_platform_gpio()
myGPIO.setup(12,GPIO.IN)
myGPIO.setup(16,GPIO.IN)
lcd = ADA_LCD()
lcd.clea... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Now we'll start by invoking the GPIO class, which will identify our board and initialize the pins. We will use two pins for input for scrolling ... |
6,761 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
tf.__version__
from mnist import MNIST
data = MNIST(data_dir="data/MNIST/")
print("Size of:")
print("- Training-set:\t\t{}".format(data.num_train))
print("- Validation-set:\t{}".format(data.nu... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: This was developed using Python 3.6 (Anaconda) and TensorFlow version
Step2: Load Data
Step3: The MNIST data-set has now been loaded and consi... |
6,762 | <ASSISTANT_TASK:>
Python Code:
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization
from keras.layers.advanced_activations import PReLU
from keras... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Load the data.
Step2: Simple neural network with a couple of dense layers. The hidden_sizes list defines the hidden layers, in this case 2 hid... |
6,763 | <ASSISTANT_TASK:>
Python Code:
from IPython.display import display
import spot
spot.setup(show_default='.bas')
spot.automaton('''
HOA: v1
States: 2
Start: 0&1
AP: 2 "a" "b"
acc-name: Buchi
Acceptance: 1 Inf(0)
--BODY--
State: 0
[0] 0
[!0] 1
State: 1
[1] 1 {0}
--END--
''')
spot.automaton('''
HOA: v1
States: 2
Start: 0&... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: universal edges are handled as if they were many distinct existencial edges from the point of view of scc_info, so the acceptance / rejection st... |
6,764 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import numpy as np
from matplotlib import pyplot
%matplotlib inline
titanic = pd.read_csv("train.csv")
titanic_test = pd.read_csv("test.csv")
titanic.shape
titanic.describe()
titanic.info()
titanic.head(3)
titanic["Age"] = titanic["Age"].fillna(titanic["Age"].median()... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Training
Step2: The most common embarkation port is S, so let's assume everyone got on there.
Step3: From the Kaggle competition description, ... |
6,765 | <ASSISTANT_TASK:>
Python Code:
# Author: Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
import matplotlib.pyplot as plt
import numpy as np
import mne
from mne.datasets import sample
from mne.beamformer import lcmv
print(__doc__)
data_path = sample.data_path()
raw_fname = data_p... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Get epochs
|
6,766 | <ASSISTANT_TASK:>
Python Code:
# Segunda parte: Aplicaciones en Python
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import time
from PIL import Image
##Aquí abro la imagen y la convierto a gris
im = Image.open("/Users/usuario/Documents/MaestriaCD/Propedeutico/PropedeuticoDataScience2017/Tarea/... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Se mostrará una aplicación de la SVD a la compresión de imágenes y reducción de ruido.
Step2: Pregunta
Step3: Hacer una función que me resuelv... |
6,767 | <ASSISTANT_TASK:>
Python Code:
# coding: utf-8
import pickle
from pprint import pformat
import numpy as np
np.set_printoptions(precision=4)
np.set_printoptions(edgeitems=1)
with open("report.pkl", 'r') as pfile:
report = pickle.load(pfile)
print("Unconstraint")
print("-" * 10)
print(" - total of {0} studies".form... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Load the report
Step2: Inspect the report on all the floatting parameters
Step3: Inspect the report on a subset of the floatting parameters
St... |
6,768 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import numpy as np
import pandas as pd
from os.path import join
from pylab import rcParams
import matplotlib.pyplot as plt
rcParams['figure.figsize'] = (13, 6)
plt.style.use('ggplot')
#import nilmtk
from nilmtk import DataSet, TimeFrame, MeterGroup, HDFDataStore
from ni... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Show versions for any diagnostics
Step2: Load dataset
Step3: Period of interest 4 days during normal week
Step4: Training
Step5: Set two day... |
6,769 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
from scipy.optimize import minimize
from sklearn.preprocessing import StandardScaler
def sig1(z): # sigma
return(1/(1+np.exp(-z)))
def sig2(z): # sigma'(z)
phat = sig1(z)
return(phat*(1-phat))
class y2ord(): # Convert ordinal to 1, 2, ...... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Univariate example
Step2: A confusion martrix shows that the predited level $\tilde y$ aligns closely with the true label. Furthermore, there i... |
6,770 | <ASSISTANT_TASK:>
Python Code:
def pretty_print_review_and_label(i):
print(labels[i] + "\t:\t" + reviews[i][:80] + "...")
g = open('reviews.txt','r') # What we know!
reviews = list(map(lambda x:x[:-1],g.readlines()))
g.close()
g = open('labels.txt','r') # What we WANT to know!
labels = list(map(lambda x:x[:-1].uppe... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Note
Step2: Lesson
Step3: Project 1
Step4: We'll create three Counter objects, one for words from postive reviews, one for words from negativ... |
6,771 | <ASSISTANT_TASK:>
Python Code:
%matplotlib notebook
import pandas as pd
import numpy as np
from sklearn import preprocessing
from sklearn.ensemble import RandomForestClassifier
from sklearn import cross_validation
from sklearn.cross_validation import KFold
from sklearn.cross_validation import train_test_split
from skle... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 2.0 - Feature Generation
Step2: 3.0 - Generate plots of each feature
Step3: 4.0 - Train model using RandomForestClassifier
Step4: 5.0 - Predi... |
6,772 | <ASSISTANT_TASK:>
Python Code:
import bioframe
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.stats import pearsonr, spearmanr
base_dir = '/tmp/bioframe_tutorial_data/'
assembly = 'GRCh38'
ctcf_peaks = bioframe.read_table("https://www.encodeproject.org/files/ENCFF401MQL/@@download/E... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Load CTCF ChIP-seq peaks for HFF from ENCODE
Step2: Get CTCF motifs from JASPAR
Step3: Overlap peaks & motifs
Step4: There are often multiple... |
6,773 | <ASSISTANT_TASK:>
Python Code:
from _keys.facebook import USER_ID, ACCESS_TOKEN, paging_token
import requests
host = 'https://graph.facebook.com/v2.8'
u = '{}/{}/posts?access_token={}'.format(host, USER_ID, ACCESS_TOKEN)
data1 = requests.get(u).json()
pg2 = '{}/{}/posts?limit=25&until=1486832400&__paging_token={}&acces... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The JSON data is saved into the variable data,which is a list of dictionaries, so we can now use the data structure functions to access informat... |
6,774 | <ASSISTANT_TASK:>
Python Code:
# How to compute intercept range given an angle range
import numpy as np
angle_range_degrees = np.array([15.0, 35.0])
angle_range = angle_range_degrees * np.pi / 180
print np.cos(angle_range)
import nengo
model = nengo.Network()
with model:
ens = nengo.Ensemble(n_neurons=400, dimensi... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: So, in order to have tuning curves lke that, we want to have neurons with intercepts=nengo.dists.Uniform(0.82, 0.97) which is close enough to wh... |
6,775 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import seaborn as sns
import scipy.stats as stats
%matplotlib inline
def lcg(n, m=2**31-1, a=16807, c=0, seed=2**30):
x = np.zeros(n+1)
x[0]=seed
for i in range(1,n+1):
x[i] = (a * x[i-1]+c)%m
return x[1:]/m
lcg(10, m=31, a=13, c=0, seed=3)
x=... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 2. Generador congruencial lineal
Step2: Ejemplo
Step3: Generador mínimo estándar
Step4: Generado Randu (Usado por IBM)
Step5: 3. Método de B... |
6,776 | <ASSISTANT_TASK:>
Python Code:
from IPython.display import Image
# Add your filename and uncomment the following line:
Image(filename='graph2.JPG')
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Violations of graphical excellence and integrity
|
6,777 | <ASSISTANT_TASK:>
Python Code:
import geopandas
geopandas.tools.geocode('2900 boulevard Edouard Montpetit, Montreal', provider='nominatim', user_agent="mon-application")
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Géocodage
|
6,778 | <ASSISTANT_TASK:>
Python Code:
!pip install --pre deepchem
import deepchem as dc
dc.__version__
tasks, datasets, transformers = dc.molnet.load_tox21(featurizer='ECFP')
train_dataset, valid_dataset, test_dataset = datasets
print(train_dataset)
train_dataset.w
model = dc.models.MultitaskClassifier(n_tasks=12, n_featu... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: We can now import the deepchem package to play with.
Step2: What is a Fingerprint?
Step3: The feature array X has shape (6264, 1024). That me... |
6,779 | <ASSISTANT_TASK:>
Python Code:
from geo.models import SampleLocation
from database.models import Site
from shapely.geometry import shape, MultiPoint
import geopandas
import pandas
import numpy
from django.db import connection
def get_geodataframe(queryset, modification=None, crs={'+init':'epsg:31254'}):
query = qu... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: function declarations
Step2: load locations from database
Step3: loop through locations and compute distance
Step4: compute the distance mean... |
6,780 | <ASSISTANT_TASK:>
Python Code:
class Flatten(nn.Module):
def forward(self, x):
return x.view(x.size(0), -1)
def __str__(self):
return 'Flatten()'
model = nn.Sequential(OrderedDict([
('conv2d_1', nn.Conv2d(in_channels=1, out_channels=32, kernel_size=3)),
('relu_1', nn.ReLU()),
('... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Accessing the layers
Step2: Moreover .modules and .children provide generators for accessing layers.
Step3: Getting the weigths.
Step4: Getti... |
6,781 | <ASSISTANT_TASK:>
Python Code:
#@title 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 혼합 정밀도
Step2: 지원하는 하드웨어
Step3: 모든 Cloud TPU는 bfloat16을 지원합니다.
Step4: 이 정책은 레이어의 두 가지 중요한 측면, 즉 레이어 계산이 수행되는 dtype과 레이어 변수의 dtype을 지정합니다. 위에서 ... |
6,782 | <ASSISTANT_TASK:>
Python Code:
from jyquickhelper import add_notebook_menu
add_notebook_menu()
def polynome ( x ) :
x2 = x*x
return x2 + x - 5
def polynome ( x, coefficient ) :
return sum ( [ x**i * c for i,c in enumerate(coefficient) ] )
y = polynome ( 1.2, [ 1, 2, -1] ) # calcul de -x^2 + 2x + 1 pour ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Fonctions
Step2: Une fonction commence toujours par def. Entre parenthèses, ce sont les paramètres (ou entrées de la fonction). Ce qui suit le ... |
6,783 | <ASSISTANT_TASK:>
Python Code:
# import the dataset
from quantopian.interactive.data.eventvestor import issue_debt
# or if you want to import the free dataset, use:
# from quantopian.interactive.data.eventvestor import issue_debt_free
# import data operations
from odo import odo
# import other libraries we will use
imp... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Let's go over the columns
Step2: Now suppose we want a DataFrame of the Blaze Data Object above, want to filter it further down to the announce... |
6,784 | <ASSISTANT_TASK:>
Python Code:
import tensorflow as tf
import os
import PIL
tf.__version__
# Obtain data from url:"https://storage.googleapis.com/mledu-datasets/cats_and_dogs_filtered.zip"
zip_file = tf.keras.utils.get_file(origin="https://storage.googleapis.com/mledu-datasets/cats_and_dogs_filtered.zip",
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: In keras, input could be ndarray, or generator. We could just use model.predict(test_generator). But to simplify, here we just input the first r... |
6,785 | <ASSISTANT_TASK:>
Python Code:
samples_per_symbol = 64 # this is so high to make stuff plottable
symbols = [1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 0]
data = []
for x in symbols:
data.extend([1 if x else -1] * samples_per_symbol)
plt.plot(data)
plt.title('Data... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Modulation
Step2: Spectogram shows that we have synthesized positive frequency for True bit and negative for False.
|
6,786 | <ASSISTANT_TASK:>
Python Code:
import mbuild as mb
class MonoLJ(mb.Compound):
def __init__(self):
super(MonoLJ, self).__init__()
lj_particle1 = mb.Particle(name='LJ', pos=[0, 0, 0])
self.add(lj_particle1)
lj_particle2 = mb.Particle(name='LJ', pos=[1, 0, 0])
self.add(lj_partic... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: While this would work for defining a single molecule or very small system, this would not be efficient for large systems. Instead, the clone an... |
6,787 | <ASSISTANT_TASK:>
Python Code:
from IPython.display import Image
Image(url='http://upload.wikimedia.org/wikipedia/commons/thumb/b/b4/The_Sun_by_the_Atmospheric_Imaging_Assembly_of_NASA%27s_Solar_Dynamics_Observatory_-_20100819.jpg/251px-The_Sun_by_the_Atmospheric_Imaging_Assembly_of_NASA%27s_Solar_Dynamics_Observatory_... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Q. How would you estimate the time it takes for a photon to travel from the core to the surface?
Step2: This is a 3D random walk (if you take A... |
6,788 | <ASSISTANT_TASK:>
Python Code:
def double(x):
return(2*x);
print double(1);
print double(2);
print double(3);
def print_double(x):
print(2*x);
print_double(1);
print_double(2);
print_double(3);
def leet():
return 1337;
#Try what "print leet()" does.
#Enter your code here:
#Write your function here
#So... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Look at some sample outputs below
Step2: We can define a function in python by the def keyword, followed by the name of the function, a set of ... |
6,789 | <ASSISTANT_TASK:>
Python Code:
import math
import numpy as np
import h5py
import matplotlib.pyplot as plt
import scipy
from PIL import Image
from scipy import ndimage
import tensorflow as tf
from tensorflow.python.framework import ops
from cnn_utils import *
%matplotlib inline
np.random.seed(1)
# Loading the data (sig... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Run the next cell to load the "SIGNS" dataset you are going to use.
Step2: As a reminder, the SIGNS dataset is a collection of 6 signs represen... |
6,790 | <ASSISTANT_TASK:>
Python Code:
from noodles import run_single
from noodles.tutorial import (add, sub, mul)
u = add(5, 4)
v = sub(u, 3)
w = sub(u, 2)
x = mul(v, w)
answer = run_single(x)
print("The answer is {0}.".format(answer))
import urllib.request
import json
import re
class Translate:
Translate words and sente... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step2: That looks like any other Python code! But this example is a bit silly.
Step3: We start with a list of strings that desparately need translatio... |
6,791 | <ASSISTANT_TASK:>
Python Code:
class Pen():
def __init__(self, size, name):
self.name = name
self.size = size
def set_name(self, name):
self.name = name
class BallPen(Pen):
def __init__(self, size, name, color):
self.color = color
super().__init__(size, name)
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: BallPen & InkPen both are initializing the parent class using super().__init(size, name) function. Now lets create few objects of both,
Step2: ... |
6,792 | <ASSISTANT_TASK:>
Python Code:
N = 10
theta = 0.6
rv = sp.stats.binom(N, theta)
rv
xx = np.arange(N + 1)
plt.bar(xx, rv.pmf(xx), align="center")
plt.ylabel("P(x)")
plt.title("pmf of binomial distribution")
plt.show()
np.random.seed(0)
x = rv.rvs(100)
x
sns.countplot(x)
plt.show()
y = np.bincount(x, minlength=N) / le... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: pmf 메서드를 사용하면 확률 질량 함수(pmf
Step2: 시뮬레이션을 하려면 rvs 메서드를 사용한다.
Step3: 이론적인 확률 분포와 샘플의 확률 분포를 동시에 나타내려면 다음과 같은 코드를 사용한다.
|
6,793 | <ASSISTANT_TASK:>
Python Code:
% matplotlib inline
from __future__ import print_function
import os.path
from collections import Counter
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from enrich2.variant import WILD_TYPE_VARIANT
import enrich2.plots as enrich_plot
pd.set_option("display.max_rows... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Modify the results_path variable in the next cell to match the output directory of your Enrich2-Example dataset.
Step2: Open the Experiment HDF... |
6,794 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', validation_size=0)
img = mnist.train.images[5]
plt.imshow(img.reshape((28, 28)), cmap='... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Below I'm plotting an example image from the MNIST dataset. These are 28x28 grayscale images of handwritten digits.
Step2: We'll train an autoe... |
6,795 | <ASSISTANT_TASK:>
Python Code:
import re
numbers = re.compile('(\d+)')
UPPER_LIMIT = 4294967295
with open('../inputs/day20.txt', 'r') as f:
data = [
tuple(map(
int, numbers.findall(line)))
for line in f.readlines()]
data.sort()
rule_index = 0
n = 0
while n <= UPPER_LIMIT:
fo... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Part Two
|
6,796 | <ASSISTANT_TASK:>
Python Code:
# Import some stuff
import numpy as np
import pandas as pd
import scipy.spatial.distance as spd
from pymer4.simulate import easy_multivariate_normal
from pymer4.models import Lm
import matplotlib.pyplot as plt
% matplotlib inline
# Prep some data
X = easy_multivariate_normal(50,2,corrs=.... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Inner product
Step2: Covariance
Step3: Cosine Similarity
Step4: Pearson Correlation
Step5: OLS (univariate w/o intercept)
Step6: OLS (univa... |
6,797 | <ASSISTANT_TASK:>
Python Code:
# A comma-delimited list of the words you want to train for.
# The options are: yes,no,up,down,left,right,on,off,stop,go
# All the other words will be used to train an "unknown" label and silent
# audio data with no spoken words will be used to train a "silence" label.
WANTED_WORDS = "yes... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: DO NOT MODIFY the following constants as they include filepaths used in this notebook and data that is shared during training and inference.
Ste... |
6,798 | <ASSISTANT_TASK:>
Python Code:
2 + 3
2*3
2**3
sin(pi)
from math import sin, pi
sin(pi)
a = 10
a
c =
from pruebas_1 import prueba_1_1
prueba_1_1(_, c)
A = [2, 4, 8, 10]
A
A*2
f = lambda x: x**2 + 1
f(2)
def g(x):
y = x**2 + 1
return y
g(2)
def cel_a_faren(grados_cel):
grados_faren = # Escrib... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Sin embargo no existen funciones trigonométricas cargadas por default. Para esto tenemos que importarlas de la libreria math
Step2: Variables
S... |
6,799 | <ASSISTANT_TASK:>
Python Code:
import graphlab
sales = graphlab.SFrame('kc_house_data.gl/')
from math import log, sqrt
sales['sqft_living_sqrt'] = sales['sqft_living'].apply(sqrt)
sales['sqft_lot_sqrt'] = sales['sqft_lot'].apply(sqrt)
sales['bedrooms_square'] = sales['bedrooms']*sales['bedrooms']
# In the dataset, 'f... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Load in house sales data
Step2: Create new features
Step3: Squaring bedrooms will increase the separation between not many bedrooms (e.g. 1) a... |
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