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59435dde0e895c55e809bd8c9ec793c233fce8cc | a29a74eea56d5d0f1c8acdcbebbed75da16dbaa6 | /RuthWeather/ruth_weather/migrations/0005_auto_20210225_1248.py | dc23d434c47fb8b7e7646911b5022b1c1f428fd4 | [] | no_license | jbar173/RuthWeather | 1785b79a4f470d1b90534bd49eb9c0af554bf270 | 252549349ce2422cc41348d1e4c5203d87d94849 | refs/heads/main | 2023-03-08T09:40:34.059476 | 2021-02-25T13:21:50 | 2021-02-25T13:21:50 | 342,251,353 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 364 | py | # Generated by Django 3.1.6 on 2021-02-25 12:48
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('ruth_weather', '0004_report_oulook'),
]
operations = [
migrations.RenameField(
model_name='report',
old_name='oulook',
new_name='outlook',
),
]
| [
"[email protected]"
] | |
165f04471ea9f1ece1a5bc6602c642f46f3302f4 | 6e47be4e22ab76a8ddd7e18c89f5dc4f18539744 | /venv/openshift/lib/python3.6/site-packages/kubernetes/client/models/extensions_v1beta1_rolling_update_deployment.py | 869c0a9b303a98a2c2d41c425f3f1182dc60b84d | [] | no_license | georgi-mobi/redhat_ocp4.5_training | 21236bb19d04a469c95a8f135188d3d1ae473764 | 2ccaa90e40dbbf8a18f668a5a7b0d5bfaa1db225 | refs/heads/main | 2023-03-30T10:47:08.687074 | 2021-04-01T05:25:49 | 2021-04-01T05:25:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,760 | py | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.12.11
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class ExtensionsV1beta1RollingUpdateDeployment(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'max_surge': 'object',
'max_unavailable': 'object'
}
attribute_map = {
'max_surge': 'maxSurge',
'max_unavailable': 'maxUnavailable'
}
def __init__(self, max_surge=None, max_unavailable=None):
"""
ExtensionsV1beta1RollingUpdateDeployment - a model defined in Swagger
"""
self._max_surge = None
self._max_unavailable = None
self.discriminator = None
if max_surge is not None:
self.max_surge = max_surge
if max_unavailable is not None:
self.max_unavailable = max_unavailable
@property
def max_surge(self):
"""
Gets the max_surge of this ExtensionsV1beta1RollingUpdateDeployment.
The maximum number of pods that can be scheduled above the desired number of pods. Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%). This can not be 0 if MaxUnavailable is 0. Absolute number is calculated from percentage by rounding up. By default, a value of 1 is used. Example: when this is set to 30%, the new RC can be scaled up immediately when the rolling update starts, such that the total number of old and new pods do not exceed 130% of desired pods. Once old pods have been killed, new RC can be scaled up further, ensuring that total number of pods running at any time during the update is atmost 130% of desired pods.
:return: The max_surge of this ExtensionsV1beta1RollingUpdateDeployment.
:rtype: object
"""
return self._max_surge
@max_surge.setter
def max_surge(self, max_surge):
"""
Sets the max_surge of this ExtensionsV1beta1RollingUpdateDeployment.
The maximum number of pods that can be scheduled above the desired number of pods. Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%). This can not be 0 if MaxUnavailable is 0. Absolute number is calculated from percentage by rounding up. By default, a value of 1 is used. Example: when this is set to 30%, the new RC can be scaled up immediately when the rolling update starts, such that the total number of old and new pods do not exceed 130% of desired pods. Once old pods have been killed, new RC can be scaled up further, ensuring that total number of pods running at any time during the update is atmost 130% of desired pods.
:param max_surge: The max_surge of this ExtensionsV1beta1RollingUpdateDeployment.
:type: object
"""
self._max_surge = max_surge
@property
def max_unavailable(self):
"""
Gets the max_unavailable of this ExtensionsV1beta1RollingUpdateDeployment.
The maximum number of pods that can be unavailable during the update. Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%). Absolute number is calculated from percentage by rounding down. This can not be 0 if MaxSurge is 0. By default, a fixed value of 1 is used. Example: when this is set to 30%, the old RC can be scaled down to 70% of desired pods immediately when the rolling update starts. Once new pods are ready, old RC can be scaled down further, followed by scaling up the new RC, ensuring that the total number of pods available at all times during the update is at least 70% of desired pods.
:return: The max_unavailable of this ExtensionsV1beta1RollingUpdateDeployment.
:rtype: object
"""
return self._max_unavailable
@max_unavailable.setter
def max_unavailable(self, max_unavailable):
"""
Sets the max_unavailable of this ExtensionsV1beta1RollingUpdateDeployment.
The maximum number of pods that can be unavailable during the update. Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%). Absolute number is calculated from percentage by rounding down. This can not be 0 if MaxSurge is 0. By default, a fixed value of 1 is used. Example: when this is set to 30%, the old RC can be scaled down to 70% of desired pods immediately when the rolling update starts. Once new pods are ready, old RC can be scaled down further, followed by scaling up the new RC, ensuring that the total number of pods available at all times during the update is at least 70% of desired pods.
:param max_unavailable: The max_unavailable of this ExtensionsV1beta1RollingUpdateDeployment.
:type: object
"""
self._max_unavailable = max_unavailable
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""
Returns the string representation of the model
"""
return pformat(self.to_dict())
def __repr__(self):
"""
For `print` and `pprint`
"""
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
if not isinstance(other, ExtensionsV1beta1RollingUpdateDeployment):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
| [
"[email protected]"
] | |
abe1b2d3584bd21802c7813efbd7058fbd18f7de | d7a977f1075fd5026d718f849dd0eaff1d498745 | /3_hw/bayesianLR.py | 2c5f176cc54ac667e41529c89c5f83e82c3643ad | [] | no_license | wlshih/ML_Spring_2020 | 4a7762d07882305ca4905cfa822b5e599b021596 | 694df99b4bd180d9e5d07dda9a262f9fa717a545 | refs/heads/master | 2021-04-17T23:14:47.838400 | 2020-05-31T12:31:52 | 2020-05-31T12:31:52 | 249,484,432 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,740 | py | #! /usr/local/bin/python3
import numpy as np
import math
import matplotlib.pyplot as plt
import pprint
from seqEstimator import univariate_data_generator
# Part 1.b: Polynomial regression model data generator
def PR_model_generator(weight, var):
x = np.random.uniform(-1.0, 1.0, 1)
y = 0.0
for i in range(len(weight)):
y += weight[i] * (x**i)
error = univariate_data_generator(0, var)
return x, y + error
def read_input():
print("precision(b): ", end = '')
b = float(input())
print("polynomial bases(n): ", end = '')
n = int(input())
print("variation(a): ", end = '')
a = float(input())
print("weight matirx(W): ", end = '')
W = list(map(float, input().split()))
return b, n, a, W
# linear regression matrix form
def build_matrix(x, n):
A = []
for i in range(n):
A.append(x ** i)
return np.array(A).reshape(1, -1)
def print_iteration(cnt, x, y, mean_post, var_post, mean_predict, var_predict):
print("Count = {}".format(cnt))
print("Add data point ({}, {}):".format(x, y))
print("")
print("Posterior mean:")
print(mean_post)
print("")
print("Posterior covariance:")
print(var_post)
print("")
print("Predictive distribution ~ N({}, {})".format(mean_predict, var_predict))
print("---------------------------------------------")
return
# Part 3: Bayesian linear regression
if __name__ == "__main__":
precision, poly_bases, var, weight = read_input()
# linear regression
# first iteration
cnt = 1
x, y = PR_model_generator(weight, var)
# data record
data_x = [x]
data_y = [y]
A = build_matrix(x, poly_bases)
var_post_inv = var * np.matmul(A.T, A) + precision * np.eye(poly_bases)
var_post = np.linalg.inv(var_post_inv)
mean_post = var * np.matmul(var_post, A.T) * y
var_predict = 1 / var + np.matmul(np.matmul(A, var_post), A.T)
mean_predict = np.matmul(A, mean_post)
print_iteration(cnt, x, y, mean_post, var_post, mean_predict, var_predict)
while(True):
cnt += 1
x, y = PR_model_generator(weight, var)
data_x.append(x)
data_y.append(y)
A = build_matrix(x, poly_bases)
var_prior_inv = var_post_inv.copy()
var_prior = var_post.copy()
mean_prior = mean_post.copy()
var_post_inv = var * np.matmul(A.T, A) + var_prior_inv
var_post = np.linalg.inv(var_post_inv)
mean_post = np.matmul(var_post, (var * A.T * y + np.matmul(var_prior_inv, mean_prior)))
var_predict = 1 / var + np.matmul(np.matmul(A, var_post), A.T)
mean_predict = np.matmul(A, mean_post)
print_iteration(cnt, x, y, mean_post, var_post, mean_predict, var_predict)
if ( abs(np.sum(mean_prior - mean_post)) < 1e-6 ) and ( abs(np.sum(var_prior - var_post)) < 1e-6 ):
break
# data recording
if cnt == 10:
mean_10 = mean_post.copy()
var_10 = var_post.copy()
data_x_10 = data_x.copy()
data_y_10 = data_y.copy()
if cnt == 50:
mean_50 = mean_post.copy()
var_50 = var_post.copy()
data_x_50 = data_x.copy()
data_y_50 = data_y.copy()
# display plot
# ground truth
plt.subplot(221)
plt.xlim(-2.0, 2.0)
plt.ylim(-15.0, 25)
plt.title("Ground Truth")
ground_func = np.poly1d(np.flip(weight))
ground_x = np.linspace(-2.0, 2.0, 30)
ground_y = ground_func(ground_x)
plt.plot(ground_x, ground_y, color = 'black')
ground_y += var
plt.plot(ground_x, ground_y, color = 'red')
ground_y -= 2 * var
plt.plot(ground_x, ground_y, color = 'red')
# predice result
plt.subplot(222)
plt.xlim(-2.0, 2.0)
plt.ylim(-15.0, 25)
plt.title("Predict result")
predict_x = np.linspace(-2.0, 2.0, 30)
predict_func = np.poly1d(np.flip(mean_post.flatten()))
predict_y = predict_func(predict_x)
predict_y_plus = predict_func(predict_x)
predict_y_minus = predict_func(predict_x)
for i in range(len(predict_x)):
predict_A = build_matrix(predict_x[i], poly_bases)
predict_var_predict = 1 / var + np.matmul(np.matmul(predict_A, var_post), predict_A.T)
predict_y_plus[i] += predict_var_predict[0]
predict_y_minus[i] -= predict_var_predict[0]
plt.plot(predict_x, predict_y, color = 'black')
plt.plot(predict_x, predict_y_plus, color = 'red')
plt.plot(predict_x, predict_y_minus, color = 'red')
plt.scatter(data_x, data_y)
# after 10 incomes
plt.subplot(223)
plt.xlim(-2.0, 2.0)
plt.ylim(-15.0, 25)
plt.title("After 10 incomes")
predict_x = np.linspace(-2.0, 2.0, 30)
predict_func = np.poly1d(np.flip(mean_10.flatten()))
predict_y = predict_func(predict_x)
predict_y_plus = predict_func(predict_x)
predict_y_minus = predict_func(predict_x)
for i in range(len(predict_x)):
predict_A = build_matrix(predict_x[i], poly_bases)
predict_var_predict = 1 / var + np.matmul(np.matmul(predict_A, var_10), predict_A.T)
predict_y_plus[i] += predict_var_predict[0]
predict_y_minus[i] -= predict_var_predict[0]
plt.plot(predict_x, predict_y, color = 'black')
plt.plot(predict_x, predict_y_plus, color = 'red')
plt.plot(predict_x, predict_y_minus, color = 'red')
plt.scatter(data_x_10, data_y_10)
# after 50 incomes
plt.subplot(224)
plt.xlim(-2.0, 2.0)
plt.ylim(-15.0, 25)
plt.title("After 50 incomes")
predict_x = np.linspace(-2.0, 2.0, 30)
predict_func = np.poly1d(np.flip(mean_50.flatten()))
predict_y = predict_func(predict_x)
predict_y_plus = predict_func(predict_x)
predict_y_minus = predict_func(predict_x)
for i in range(len(predict_x)):
predict_A = build_matrix(predict_x[i], poly_bases)
predict_var_predict = 1 / var + np.matmul(np.matmul(predict_A, var_50), predict_A.T)
predict_y_plus[i] += predict_var_predict[0]
predict_y_minus[i] -= predict_var_predict[0]
plt.plot(predict_x, predict_y, color = 'black')
plt.plot(predict_x, predict_y_plus, color = 'red')
plt.plot(predict_x, predict_y_minus, color = 'red')
plt.scatter(data_x_50, data_y_50)
plt.tight_layout()
plt.show()
| [
"[email protected]"
] | |
438078d4631e7500fdac66ad75cdb09b68f16216 | f329c70e62ba5b1bd01c73d60aa2499b28220cbf | /app.py | 5f12d451d8ee14c57f334464034d9bcb32005d2c | [] | no_license | Sharvil24600/Fake-News-Prediction | 92721b13cc182a4a10a27cf387296a261a45b2ee | 06445ee80442b890a2037df3e4d21dfe078408a4 | refs/heads/main | 2023-05-23T11:11:14.616204 | 2021-06-15T05:15:23 | 2021-06-15T05:15:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 635 | py | from flask import Flask
from flask import render_template, url_for, request
app = Flask(__name__)
import pickle as pk
model='FakeNewsModel.pkl'
transform = 'transform.pkl'
clf = pk.load(open(model, 'rb'))
cv = pk.load(open(transform, 'rb'))
@app.route('/')
def home():
return render_template('index.html')
@app.route('/predict', methods=['POST'])
def predict():
if request.method=='POST':
txt = request.form['txt']
data = [txt]
vector = cv.transform(data).toarray()
predicting = clf.predict(vector)
return render_template('result.html', prediction=predicting)
if __name__ == '__main__':
app.run(debug=True) | [
"[email protected]"
] | |
b93a6e3efdead5dfe0572feb0b1015d84d0a807f | 465ea89a1f30efb02a32a8d301eea9fab9a6e5c1 | /Projects/ex49dir/ex49/ex49.py | 69016bcdc2dff06424045793ebefbf8fca9d0b2b | [] | no_license | deleeke/LPTHW | 4fef2bc010427f14189903b8e683ec0f504d32b9 | ae5a668178f92e798bfe1a45919106f0e517c32f | refs/heads/master | 2021-01-10T11:55:50.452592 | 2016-01-30T17:36:54 | 2016-01-30T17:36:54 | 46,449,017 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,755 | py | class ParserError(Exception):
pass
class Sentence(object):
def __init__(self, subject, verb, object):
# take ('type', 'word') tuple and convert it
self.subject = subject[1]
self.verb = verb[1]
self.object = object[1]
def peek(word_list):
if word_list:
word = word_list[0]
return word[0]
else:
return None
def match(word_list, expecting):
if word_list:
word = word_list.pop(0)
if word[0] == expecting:
return word
else:
return None
else:
return None
def skip(word_list, word_type):
while peek(word_list) == word_type:
match(word_list, word_type)
def parse_verb(word_list):
skip(word_list, 'stop')
if peek(word_list) == 'verb':
return match(word_list, 'verb')
else:
raise ParserError("Expected a verb next.")
def parse_object(word_list):
skip(word_list, 'stop')
next = peek(word_list)
if next == 'noun':
return match(word_list, 'noun')
if next == 'direction':
return match(word_list, 'direction')
else:
raise ParserError('Expected a noun or a direction next.')
def parse_subject(word_list, subj):
verb = parse_verb(word_list)
obj = parse_object(word_list)
return Sentence(subj, verb, obj)
def parse_sentence(word_list):
skip(word_list, 'stop')
start = peek(word_list)
if start == 'noun':
subj = match(word_list, 'noun')
return parse_subject(word_list, subj)
elif start == 'verb':
# assume the subject is the player
return parse_subject(word_list, ('noun', 'player'))
else:
raise ParserError('Must start with subject, object, or verb not %s' % start)
| [
"[email protected]"
] | |
0abc1e9aa6da9f232122379cee23e51c7980364a | 962f60293dceee064754dded5f556d8d33b8836e | /test_scrapy/spiders/scrapy_baidu.py | c37dd261f3ab3c672df93c4f641e99ebc1858dbb | [] | no_license | waterlp/scrapy | 6b0689c02cd941136ee0e96f4ffae03bb5b8b58c | 36c249a167b7e3a31027fdedc75e2aa1dd70b0f1 | refs/heads/master | 2020-07-02T04:29:31.866644 | 2019-08-09T09:47:16 | 2019-08-09T09:47:16 | 201,415,855 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 268 | py | import scrapy
class BaiduSpider(scrapy.Spider):
name = 'baidu'
# allowed_domains = ['baidu.com']
start_urls = ['http://lab.scrapyd.cn/']
def parse(self, response):
print('1111111111111')
print(response)
print('1111111111111') | [
"[email protected]"
] | |
c10e27f6697d876c32c12022a6a8c2f02a23eb35 | 96718fe7a7c6a311791bec3d02b7fc1437e1f084 | /drlutils/rpcio/cdataio.py | a2ee342a6791b3b0523f258a8ea70b8ef586fbbe | [] | no_license | createamind/DRLUtils | b33215595663b2583aacb0a7fd9f29ed8aa506b1 | 560dc96518891f4129193b837509c293b6d84c2a | refs/heads/master | 2021-01-23T14:15:12.268159 | 2017-09-07T02:21:59 | 2017-09-07T02:21:59 | 102,680,929 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 25,318 | py | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.10
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info >= (2, 7, 0):
def swig_import_helper():
import importlib
pkg = __name__.rpartition('.')[0]
mname = '.'.join((pkg, '_cdataio')).lstrip('.')
try:
return importlib.import_module(mname)
except ImportError:
return importlib.import_module('_cdataio')
_cdataio = swig_import_helper()
del swig_import_helper
elif _swig_python_version_info >= (2, 6, 0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_cdataio', [dirname(__file__)])
except ImportError:
import _cdataio
return _cdataio
if fp is not None:
try:
_mod = imp.load_module('_cdataio', fp, pathname, description)
finally:
fp.close()
return _mod
_cdataio = swig_import_helper()
del swig_import_helper
else:
import _cdataio
del _swig_python_version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
try:
import builtins as __builtin__
except ImportError:
import __builtin__
def _swig_setattr_nondynamic(self, class_type, name, value, static=1):
if (name == "thisown"):
return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name, None)
if method:
return method(self, value)
if (not static):
if _newclass:
object.__setattr__(self, name, value)
else:
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self, class_type, name, value):
return _swig_setattr_nondynamic(self, class_type, name, value, 0)
def _swig_getattr(self, class_type, name):
if (name == "thisown"):
return self.this.own()
method = class_type.__swig_getmethods__.get(name, None)
if method:
return method(self)
raise AttributeError("'%s' object has no attribute '%s'" % (class_type.__name__, name))
def _swig_repr(self):
try:
strthis = "proxy of " + self.this.__repr__()
except __builtin__.Exception:
strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except __builtin__.Exception:
class _object:
pass
_newclass = 0
class SwigPyIterator(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name)
def __init__(self, *args, **kwargs):
raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
__swig_destroy__ = _cdataio.delete_SwigPyIterator
__del__ = lambda self: None
def value(self):
return _cdataio.SwigPyIterator_value(self)
def incr(self, n=1):
return _cdataio.SwigPyIterator_incr(self, n)
def decr(self, n=1):
return _cdataio.SwigPyIterator_decr(self, n)
def distance(self, x):
return _cdataio.SwigPyIterator_distance(self, x)
def equal(self, x):
return _cdataio.SwigPyIterator_equal(self, x)
def copy(self):
return _cdataio.SwigPyIterator_copy(self)
def next(self):
return _cdataio.SwigPyIterator_next(self)
def __next__(self):
return _cdataio.SwigPyIterator___next__(self)
def previous(self):
return _cdataio.SwigPyIterator_previous(self)
def advance(self, n):
return _cdataio.SwigPyIterator_advance(self, n)
def __eq__(self, x):
return _cdataio.SwigPyIterator___eq__(self, x)
def __ne__(self, x):
return _cdataio.SwigPyIterator___ne__(self, x)
def __iadd__(self, n):
return _cdataio.SwigPyIterator___iadd__(self, n)
def __isub__(self, n):
return _cdataio.SwigPyIterator___isub__(self, n)
def __add__(self, n):
return _cdataio.SwigPyIterator___add__(self, n)
def __sub__(self, *args):
return _cdataio.SwigPyIterator___sub__(self, *args)
def __iter__(self):
return self
SwigPyIterator_swigregister = _cdataio.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)
class _string_list(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, _string_list, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, _string_list, name)
__repr__ = _swig_repr
def iterator(self):
return _cdataio._string_list_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _cdataio._string_list___nonzero__(self)
def __bool__(self):
return _cdataio._string_list___bool__(self)
def __len__(self):
return _cdataio._string_list___len__(self)
def __getslice__(self, i, j):
return _cdataio._string_list___getslice__(self, i, j)
def __setslice__(self, *args):
return _cdataio._string_list___setslice__(self, *args)
def __delslice__(self, i, j):
return _cdataio._string_list___delslice__(self, i, j)
def __delitem__(self, *args):
return _cdataio._string_list___delitem__(self, *args)
def __getitem__(self, *args):
return _cdataio._string_list___getitem__(self, *args)
def __setitem__(self, *args):
return _cdataio._string_list___setitem__(self, *args)
def pop(self):
return _cdataio._string_list_pop(self)
def append(self, x):
return _cdataio._string_list_append(self, x)
def empty(self):
return _cdataio._string_list_empty(self)
def size(self):
return _cdataio._string_list_size(self)
def swap(self, v):
return _cdataio._string_list_swap(self, v)
def begin(self):
return _cdataio._string_list_begin(self)
def end(self):
return _cdataio._string_list_end(self)
def rbegin(self):
return _cdataio._string_list_rbegin(self)
def rend(self):
return _cdataio._string_list_rend(self)
def clear(self):
return _cdataio._string_list_clear(self)
def get_allocator(self):
return _cdataio._string_list_get_allocator(self)
def pop_back(self):
return _cdataio._string_list_pop_back(self)
def erase(self, *args):
return _cdataio._string_list_erase(self, *args)
def __init__(self, *args):
this = _cdataio.new__string_list(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
def push_back(self, x):
return _cdataio._string_list_push_back(self, x)
def front(self):
return _cdataio._string_list_front(self)
def back(self):
return _cdataio._string_list_back(self)
def assign(self, n, x):
return _cdataio._string_list_assign(self, n, x)
def resize(self, *args):
return _cdataio._string_list_resize(self, *args)
def insert(self, *args):
return _cdataio._string_list_insert(self, *args)
def reserve(self, n):
return _cdataio._string_list_reserve(self, n)
def capacity(self):
return _cdataio._string_list_capacity(self)
__swig_destroy__ = _cdataio.delete__string_list
__del__ = lambda self: None
_string_list_swigregister = _cdataio._string_list_swigregister
_string_list_swigregister(_string_list)
class _vector_of_vector_string(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, _vector_of_vector_string, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, _vector_of_vector_string, name)
__repr__ = _swig_repr
def iterator(self):
return _cdataio._vector_of_vector_string_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _cdataio._vector_of_vector_string___nonzero__(self)
def __bool__(self):
return _cdataio._vector_of_vector_string___bool__(self)
def __len__(self):
return _cdataio._vector_of_vector_string___len__(self)
def __getslice__(self, i, j):
return _cdataio._vector_of_vector_string___getslice__(self, i, j)
def __setslice__(self, *args):
return _cdataio._vector_of_vector_string___setslice__(self, *args)
def __delslice__(self, i, j):
return _cdataio._vector_of_vector_string___delslice__(self, i, j)
def __delitem__(self, *args):
return _cdataio._vector_of_vector_string___delitem__(self, *args)
def __getitem__(self, *args):
return _cdataio._vector_of_vector_string___getitem__(self, *args)
def __setitem__(self, *args):
return _cdataio._vector_of_vector_string___setitem__(self, *args)
def pop(self):
return _cdataio._vector_of_vector_string_pop(self)
def append(self, x):
return _cdataio._vector_of_vector_string_append(self, x)
def empty(self):
return _cdataio._vector_of_vector_string_empty(self)
def size(self):
return _cdataio._vector_of_vector_string_size(self)
def swap(self, v):
return _cdataio._vector_of_vector_string_swap(self, v)
def begin(self):
return _cdataio._vector_of_vector_string_begin(self)
def end(self):
return _cdataio._vector_of_vector_string_end(self)
def rbegin(self):
return _cdataio._vector_of_vector_string_rbegin(self)
def rend(self):
return _cdataio._vector_of_vector_string_rend(self)
def clear(self):
return _cdataio._vector_of_vector_string_clear(self)
def get_allocator(self):
return _cdataio._vector_of_vector_string_get_allocator(self)
def pop_back(self):
return _cdataio._vector_of_vector_string_pop_back(self)
def erase(self, *args):
return _cdataio._vector_of_vector_string_erase(self, *args)
def __init__(self, *args):
this = _cdataio.new__vector_of_vector_string(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
def push_back(self, x):
return _cdataio._vector_of_vector_string_push_back(self, x)
def front(self):
return _cdataio._vector_of_vector_string_front(self)
def back(self):
return _cdataio._vector_of_vector_string_back(self)
def assign(self, n, x):
return _cdataio._vector_of_vector_string_assign(self, n, x)
def resize(self, *args):
return _cdataio._vector_of_vector_string_resize(self, *args)
def insert(self, *args):
return _cdataio._vector_of_vector_string_insert(self, *args)
def reserve(self, n):
return _cdataio._vector_of_vector_string_reserve(self, n)
def capacity(self):
return _cdataio._vector_of_vector_string_capacity(self)
__swig_destroy__ = _cdataio.delete__vector_of_vector_string
__del__ = lambda self: None
_vector_of_vector_string_swigregister = _cdataio._vector_of_vector_string_swigregister
_vector_of_vector_string_swigregister(_vector_of_vector_string)
class _map_of_string_string(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, _map_of_string_string, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, _map_of_string_string, name)
__repr__ = _swig_repr
def iterator(self):
return _cdataio._map_of_string_string_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _cdataio._map_of_string_string___nonzero__(self)
def __bool__(self):
return _cdataio._map_of_string_string___bool__(self)
def __len__(self):
return _cdataio._map_of_string_string___len__(self)
def __iter__(self):
return self.key_iterator()
def iterkeys(self):
return self.key_iterator()
def itervalues(self):
return self.value_iterator()
def iteritems(self):
return self.iterator()
def __getitem__(self, key):
return _cdataio._map_of_string_string___getitem__(self, key)
def __delitem__(self, key):
return _cdataio._map_of_string_string___delitem__(self, key)
def has_key(self, key):
return _cdataio._map_of_string_string_has_key(self, key)
def keys(self):
return _cdataio._map_of_string_string_keys(self)
def values(self):
return _cdataio._map_of_string_string_values(self)
def items(self):
return _cdataio._map_of_string_string_items(self)
def __contains__(self, key):
return _cdataio._map_of_string_string___contains__(self, key)
def key_iterator(self):
return _cdataio._map_of_string_string_key_iterator(self)
def value_iterator(self):
return _cdataio._map_of_string_string_value_iterator(self)
def __setitem__(self, *args):
return _cdataio._map_of_string_string___setitem__(self, *args)
def asdict(self):
return _cdataio._map_of_string_string_asdict(self)
def __init__(self, *args):
this = _cdataio.new__map_of_string_string(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
def empty(self):
return _cdataio._map_of_string_string_empty(self)
def size(self):
return _cdataio._map_of_string_string_size(self)
def swap(self, v):
return _cdataio._map_of_string_string_swap(self, v)
def begin(self):
return _cdataio._map_of_string_string_begin(self)
def end(self):
return _cdataio._map_of_string_string_end(self)
def rbegin(self):
return _cdataio._map_of_string_string_rbegin(self)
def rend(self):
return _cdataio._map_of_string_string_rend(self)
def clear(self):
return _cdataio._map_of_string_string_clear(self)
def get_allocator(self):
return _cdataio._map_of_string_string_get_allocator(self)
def count(self, x):
return _cdataio._map_of_string_string_count(self, x)
def erase(self, *args):
return _cdataio._map_of_string_string_erase(self, *args)
def find(self, x):
return _cdataio._map_of_string_string_find(self, x)
def lower_bound(self, x):
return _cdataio._map_of_string_string_lower_bound(self, x)
def upper_bound(self, x):
return _cdataio._map_of_string_string_upper_bound(self, x)
__swig_destroy__ = _cdataio.delete__map_of_string_string
__del__ = lambda self: None
_map_of_string_string_swigregister = _cdataio._map_of_string_string_swigregister
_map_of_string_string_swigregister(_map_of_string_string)
class _vector_map_of_string_string(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, _vector_map_of_string_string, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, _vector_map_of_string_string, name)
__repr__ = _swig_repr
def iterator(self):
return _cdataio._vector_map_of_string_string_iterator(self)
def __iter__(self):
return self.iterator()
def __nonzero__(self):
return _cdataio._vector_map_of_string_string___nonzero__(self)
def __bool__(self):
return _cdataio._vector_map_of_string_string___bool__(self)
def __len__(self):
return _cdataio._vector_map_of_string_string___len__(self)
def __getslice__(self, i, j):
return _cdataio._vector_map_of_string_string___getslice__(self, i, j)
def __setslice__(self, *args):
return _cdataio._vector_map_of_string_string___setslice__(self, *args)
def __delslice__(self, i, j):
return _cdataio._vector_map_of_string_string___delslice__(self, i, j)
def __delitem__(self, *args):
return _cdataio._vector_map_of_string_string___delitem__(self, *args)
def __getitem__(self, *args):
return _cdataio._vector_map_of_string_string___getitem__(self, *args)
def __setitem__(self, *args):
return _cdataio._vector_map_of_string_string___setitem__(self, *args)
def pop(self):
return _cdataio._vector_map_of_string_string_pop(self)
def append(self, x):
return _cdataio._vector_map_of_string_string_append(self, x)
def empty(self):
return _cdataio._vector_map_of_string_string_empty(self)
def size(self):
return _cdataio._vector_map_of_string_string_size(self)
def swap(self, v):
return _cdataio._vector_map_of_string_string_swap(self, v)
def begin(self):
return _cdataio._vector_map_of_string_string_begin(self)
def end(self):
return _cdataio._vector_map_of_string_string_end(self)
def rbegin(self):
return _cdataio._vector_map_of_string_string_rbegin(self)
def rend(self):
return _cdataio._vector_map_of_string_string_rend(self)
def clear(self):
return _cdataio._vector_map_of_string_string_clear(self)
def get_allocator(self):
return _cdataio._vector_map_of_string_string_get_allocator(self)
def pop_back(self):
return _cdataio._vector_map_of_string_string_pop_back(self)
def erase(self, *args):
return _cdataio._vector_map_of_string_string_erase(self, *args)
def __init__(self, *args):
this = _cdataio.new__vector_map_of_string_string(*args)
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
def push_back(self, x):
return _cdataio._vector_map_of_string_string_push_back(self, x)
def front(self):
return _cdataio._vector_map_of_string_string_front(self)
def back(self):
return _cdataio._vector_map_of_string_string_back(self)
def assign(self, n, x):
return _cdataio._vector_map_of_string_string_assign(self, n, x)
def resize(self, *args):
return _cdataio._vector_map_of_string_string_resize(self, *args)
def insert(self, *args):
return _cdataio._vector_map_of_string_string_insert(self, *args)
def reserve(self, n):
return _cdataio._vector_map_of_string_string_reserve(self, n)
def capacity(self):
return _cdataio._vector_map_of_string_string_capacity(self)
__swig_destroy__ = _cdataio.delete__vector_map_of_string_string
__del__ = lambda self: None
_vector_map_of_string_string_swigregister = _cdataio._vector_map_of_string_string_swigregister
_vector_map_of_string_string_swigregister(_vector_map_of_string_string)
class InitParams(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, InitParams, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, InitParams, name)
__repr__ = _swig_repr
__swig_setmethods__["host"] = _cdataio.InitParams_host_set
__swig_getmethods__["host"] = _cdataio.InitParams_host_get
if _newclass:
host = _swig_property(_cdataio.InitParams_host_get, _cdataio.InitParams_host_set)
__swig_setmethods__["port"] = _cdataio.InitParams_port_set
__swig_getmethods__["port"] = _cdataio.InitParams_port_get
if _newclass:
port = _swig_property(_cdataio.InitParams_port_get, _cdataio.InitParams_port_set)
def __init__(self):
this = _cdataio.new_InitParams()
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _cdataio.delete_InitParams
__del__ = lambda self: None
InitParams_swigregister = _cdataio.InitParams_swigregister
InitParams_swigregister(InitParams)
class EventParams(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, EventParams, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, EventParams, name)
__repr__ = _swig_repr
__swig_setmethods__["name"] = _cdataio.EventParams_name_set
__swig_getmethods__["name"] = _cdataio.EventParams_name_get
if _newclass:
name = _swig_property(_cdataio.EventParams_name_get, _cdataio.EventParams_name_set)
__swig_setmethods__["paramString"] = _cdataio.EventParams_paramString_set
__swig_getmethods__["paramString"] = _cdataio.EventParams_paramString_get
if _newclass:
paramString = _swig_property(_cdataio.EventParams_paramString_get, _cdataio.EventParams_paramString_set)
__swig_setmethods__["paramInt"] = _cdataio.EventParams_paramInt_set
__swig_getmethods__["paramInt"] = _cdataio.EventParams_paramInt_get
if _newclass:
paramInt = _swig_property(_cdataio.EventParams_paramInt_get, _cdataio.EventParams_paramInt_set)
def __init__(self):
this = _cdataio.new_EventParams()
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _cdataio.delete_EventParams
__del__ = lambda self: None
EventParams_swigregister = _cdataio.EventParams_swigregister
EventParams_swigregister(EventParams)
class PoolInitParams(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, PoolInitParams, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, PoolInitParams, name)
__repr__ = _swig_repr
__swig_setmethods__["name"] = _cdataio.PoolInitParams_name_set
__swig_getmethods__["name"] = _cdataio.PoolInitParams_name_get
if _newclass:
name = _swig_property(_cdataio.PoolInitParams_name_get, _cdataio.PoolInitParams_name_set)
__swig_setmethods__["size"] = _cdataio.PoolInitParams_size_set
__swig_getmethods__["size"] = _cdataio.PoolInitParams_size_get
if _newclass:
size = _swig_property(_cdataio.PoolInitParams_size_get, _cdataio.PoolInitParams_size_set)
__swig_setmethods__["subBatchSize"] = _cdataio.PoolInitParams_subBatchSize_set
__swig_getmethods__["subBatchSize"] = _cdataio.PoolInitParams_subBatchSize_get
if _newclass:
subBatchSize = _swig_property(_cdataio.PoolInitParams_subBatchSize_get, _cdataio.PoolInitParams_subBatchSize_set)
__swig_setmethods__["trainBatchSize"] = _cdataio.PoolInitParams_trainBatchSize_set
__swig_getmethods__["trainBatchSize"] = _cdataio.PoolInitParams_trainBatchSize_get
if _newclass:
trainBatchSize = _swig_property(_cdataio.PoolInitParams_trainBatchSize_get, _cdataio.PoolInitParams_trainBatchSize_set)
__swig_setmethods__["predictMinBatchSize"] = _cdataio.PoolInitParams_predictMinBatchSize_set
__swig_getmethods__["predictMinBatchSize"] = _cdataio.PoolInitParams_predictMinBatchSize_get
if _newclass:
predictMinBatchSize = _swig_property(_cdataio.PoolInitParams_predictMinBatchSize_get, _cdataio.PoolInitParams_predictMinBatchSize_set)
__swig_setmethods__["predictMaxBatchSize"] = _cdataio.PoolInitParams_predictMaxBatchSize_set
__swig_getmethods__["predictMaxBatchSize"] = _cdataio.PoolInitParams_predictMaxBatchSize_get
if _newclass:
predictMaxBatchSize = _swig_property(_cdataio.PoolInitParams_predictMaxBatchSize_get, _cdataio.PoolInitParams_predictMaxBatchSize_set)
def __init__(self):
this = _cdataio.new_PoolInitParams()
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
__swig_destroy__ = _cdataio.delete_PoolInitParams
__del__ = lambda self: None
PoolInitParams_swigregister = _cdataio.PoolInitParams_swigregister
PoolInitParams_swigregister(PoolInitParams)
class CDataIO(_object):
__swig_setmethods__ = {}
__setattr__ = lambda self, name, value: _swig_setattr(self, CDataIO, name, value)
__swig_getmethods__ = {}
__getattr__ = lambda self, name: _swig_getattr(self, CDataIO, name)
__repr__ = _swig_repr
def __init__(self):
this = _cdataio.new_CDataIO()
try:
self.this.append(this)
except __builtin__.Exception:
self.this = this
def initialize(self, params):
return _cdataio.CDataIO_initialize(self, params)
def onEvent(self, params):
return _cdataio.CDataIO_onEvent(self, params)
def start(self):
return _cdataio.CDataIO_start(self)
def close(self):
return _cdataio.CDataIO_close(self)
def createPool(self, params):
return _cdataio.CDataIO_createPool(self, params)
__swig_destroy__ = _cdataio.delete_CDataIO
__del__ = lambda self: None
CDataIO_swigregister = _cdataio.CDataIO_swigregister
CDataIO_swigregister(CDataIO)
# This file is compatible with both classic and new-style classes.
| [
"[email protected]"
] | |
6f105cd72eb03c044f2d34983ea9719e1a7f8e8d | 9e988c0dfbea15cd23a3de860cb0c88c3dcdbd97 | /sdBs/AllRun/sdssj_123708.56+362123.5/sdB_sdssj_123708.56+362123.5_lc.py | 5d2ad8d6177473ff80780ac41c0904694f22eb1d | [] | no_license | tboudreaux/SummerSTScICode | 73b2e5839b10c0bf733808f4316d34be91c5a3bd | 4dd1ffbb09e0a599257d21872f9d62b5420028b0 | refs/heads/master | 2021-01-20T18:07:44.723496 | 2016-08-08T16:49:53 | 2016-08-08T16:49:53 | 65,221,159 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 371 | py | from gPhoton.gAperture import gAperture
def main():
gAperture(band="NUV", skypos=[189.285667,36.356528], stepsz=30., csvfile="/data2/fleming/GPHOTON_OUTPU/LIGHTCURVES/sdBs/sdB_sdssj_123708.56+362123.5/sdB_sdssj_123708.56+362123.5_lc.csv", maxgap=1000., overwrite=True, radius=0.00555556, annulus=[0.005972227,0.0103888972], verbose=3)
if __name__ == "__main__":
main()
| [
"[email protected]"
] | |
acc0e5042ec2712ac0e80560f8464a86eb6650e7 | 3da88b72e8114c16a2d8120b296ec77a873bcc26 | /Driver.py | 2bbd6ca30b0368874386a6071e3cc8fe33b577b5 | [] | no_license | pomps8/Calculator | 833ca1eef5b1cdb15efd5cf4b486507898a94684 | 33a06a878c51fdc379f3778edf77b3c153b0a9a0 | refs/heads/master | 2020-04-10T07:07:23.361361 | 2020-03-14T01:49:12 | 2020-03-14T01:49:12 | 157,824,876 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,073 | py | import MathOperators
# FileName: Driver.py
# Author: Anthony Pompili
# Date: March 13, 2020
# Description: This file holds the main logic for the Calculator application. This file will launch
# the calculator GUI, and allow the user to perform the specified operations allowed in the interface.
# Starting point of calculator application:
user_input = input("What operation would you like to perform?")
# Simple check to see what operation they selected
if user_input == "Add":
number1 = input("Number1: ")
number2 = input("Number2: ")
print(MathOperators.addition(number1, number2))
elif user_input == "Sub":
number1 = input("Number1: ")
number2 = input("Number2: ")
print(MathOperators.subtraction(number1, number2))
elif user_input == "Divide":
number1 = input("Number1: ")
number2 = input("Number2: ")
print(MathOperators.divide(number1, number2))
elif user_input == "Multiply":
number1 = input("Number1: ")
number2 = input("Number2: ")
print(MathOperators.multiply(number1, number2))
else:
print("Invalid input.") | [
"[email protected]"
] | |
0676d7cf9a0bc2abf7a2e848fa4c701de6d1cc68 | 4e7619b1b236ea979da82ac2f3888de69d5714b8 | /multiagent/multiAgents.py | f6155f39b3745099e75d8a64d0d5b23373b0a014 | [] | no_license | lmontalvo27/CSE571-artificial-intelligence | 2e72548eb1b878048ffe9af57dc457c9078978e1 | 7a78d3a37fdd4cac1411388acfa767e8909cc67f | refs/heads/master | 2023-03-22T04:59:23.659169 | 2020-05-08T08:30:02 | 2020-05-08T08:30:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,134 | py | # multiAgents.py
# --------------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# Attribution Information: The Pacman AI projects were developed at UC Berkeley.
# The core projects and autograders were primarily created by John DeNero
# ([email protected]) and Dan Klein ([email protected]).
# Student side autograding was added by Brad Miller, Nick Hay, and
# Pieter Abbeel ([email protected]).
from util import manhattanDistance
from game import Directions
import random, util
from game import Agent
class ReflexAgent(Agent):
"""
A reflex agent chooses an action at each choice point by examining
its alternatives via a state evaluation function.
The code below is provided as a guide. You are welcome to change
it in any way you see fit, so long as you don't touch our method
headers.
"""
def getAction(self, gameState):
"""
You do not need to change this method, but you're welcome to.
getAction chooses among the best options according to the evaluation function.
Just like in the previous project, getAction takes a GameState and returns
some Directions.X for some X in the set {North, South, West, East, Stop}
"""
# Collect legal moves and successor states
legalMoves = gameState.getLegalActions()
# Choose one of the best actions
scores = [self.evaluationFunction(gameState, action) for action in legalMoves]
bestScore = max(scores)
bestIndices = [index for index in range(len(scores)) if scores[index] == bestScore]
chosenIndex = random.choice(bestIndices) # Pick randomly among the best
"Add more of your code here if you want to"
return legalMoves[chosenIndex]
def evaluationFunction(self, currentGameState, action):
"""
Design a better evaluation function here.
The evaluation function takes in the current and proposed successor
GameStates (pacman.py) and returns a number, where higher numbers are better.
The code below extracts some useful information from the state, like the
remaining food (newFood) and Pacman position after moving (newPos).
newScaredTimes holds the number of moves that each ghost will remain
scared because of Pacman having eaten a power pellet.
Print out these variables to see what you're getting, then combine them
to create a masterful evaluation function.
"""
# Useful information you can extract from a GameState (pacman.py)
successorGameState = currentGameState.generatePacmanSuccessor(action)
newPos = successorGameState.getPacmanPosition()
newFood = successorGameState.getFood()
newGhostStates = successorGameState.getGhostStates()
newScaredTimes = [ghostState.scaredTimer for ghostState in newGhostStates]
"*** YOUR CODE HERE ***"
minimumDistance = -1
for foodCoordinate in newFood.asList():
if (manhattanDistance(newPos, foodCoordinate) < minimumDistance) or (minimumDistance == -1):
minimumDistance = float(manhattanDistance(newPos, foodCoordinate)) # getting closest food coordinates
penalty = 0
for ghostCoordinate in successorGameState.getGhostPositions():
if manhattanDistance(newPos, ghostCoordinate) <= 1:
penalty = penalty + 1 # penalizing pacman if it goes near ghost
# print 'MD: ', minimumDistance, 1/minimumDistance
return successorGameState.getScore() + (1 / minimumDistance) - penalty
def scoreEvaluationFunction(currentGameState):
"""
This default evaluation function just returns the score of the state.
The score is the same one displayed in the Pacman GUI.
This evaluation function is meant for use with adversarial search agents
(not reflex agents).
"""
return currentGameState.getScore()
class MultiAgentSearchAgent(Agent):
"""
This class provides some common elements to all of your
multi-agent searchers. Any methods defined here will be available
to the MinimaxPacmanAgent, AlphaBetaPacmanAgent & ExpectimaxPacmanAgent.
You *do not* need to make any changes here, but you can if you want to
add functionality to all your adversarial search agents. Please do not
remove anything, however.
Note: this is an abstract class: one that should not be instantiated. It's
only partially specified, and designed to be extended. Agent (game.py)
is another abstract class.
"""
def __init__(self, evalFn = 'scoreEvaluationFunction', depth = '2'):
self.index = 0 # Pacman is always agent index 0
self.evaluationFunction = util.lookup(evalFn, globals())
self.depth = int(depth)
class MinimaxAgent(MultiAgentSearchAgent):
"""
Your minimax agent (question 2)
"""
def getAction(self, gameState):
"""
Returns the minimax action from the current gameState using self.depth
and self.evaluationFunction.
Here are some method calls that might be useful when implementing minimax.
gameState.getLegalActions(agentIndex):
Returns a list of legal actions for an agent
agentIndex=0 means Pacman, ghosts are >= 1
gameState.generateSuccessor(agentIndex, action):
Returns the successor game state after an agent takes an action
gameState.getNumAgents():
Returns the total number of agents in the game
"""
"*** YOUR CODE HERE ***"
# util.raiseNotDefined()
def minimax (agent, depth, gameState):
if (gameState.isWin() is True) or (gameState.isLose() is True) or (depth == self.depth):
return self.evaluationFunction(gameState)
elif agent == 0:
utility=[]
for state in gameState.getLegalActions(agent):
utility.append(minimax(agent+1, depth, gameState.generateSuccessor(agent, state)))
utility.sort()
# print utility[-1]
return utility[-1] # returning the highest value for pacman- max layer
else:
utility = []
if gameState.getNumAgents() == agent+1: # check if all ghost layers are over
depth = depth + 1
for state in gameState.getLegalActions(agent):
utility.append(minimax(0, depth, gameState.generateSuccessor(agent, state)))
utility.sort()
# print utility[0]
return utility[0] # returning the lowest value for ghost- min layer
else:
for state in gameState.getLegalActions(agent):
utility.append(minimax(agent+1, depth, gameState.generateSuccessor(agent, state)))
utility.sort()
# print utility[0]
return utility[0] # returning the lowest value for ghost- min layer
maxUtility = -99999
for state in gameState.getLegalActions(0):
utility = minimax(1, 0, gameState.generateSuccessor(0, state))
if maxUtility < utility:
maxUtility = utility
action = state
return action
class AlphaBetaAgent(MultiAgentSearchAgent):
"""
Your minimax agent with alpha-beta pruning (question 3)
"""
def getAction(self, gameState):
"""
Returns the minimax action using self.depth and self.evaluationFunction
"""
"*** YOUR CODE HERE ***"
# util.raiseNotDefined()
def maxValue (agent, depth, gameState, alpha, beta): # max-value function as per the requirements doc
utility = -99999 # using -99999 as negative infinity
for state in gameState.getLegalActions(agent):
utility = max(utility,
alphabeta(agent + 1, depth, gameState.generateSuccessor(agent, state), alpha, beta))
if beta < utility:
return utility
alpha = max(utility, alpha)
# print alpha
return utility
def minValue (agent, depth, gameState, alpha, beta): # min-value function as per the requirements doc
utility = 99999 # using 99999 as infinity
if gameState.getNumAgents() == agent + 1: # check if all ghost layers are over
depth = depth + 1
for state in gameState.getLegalActions(agent):
utility = min(utility,
alphabeta(0, depth, gameState.generateSuccessor(agent, state), alpha, beta))
if alpha > utility:
return utility
beta = min(utility, beta)
# print beta
return utility
else:
for state in gameState.getLegalActions(agent):
utility = min(utility,
alphabeta(agent + 1, depth, gameState.generateSuccessor(agent, state), alpha, beta))
if alpha > utility:
return utility
beta = min(utility, beta)
# print beta
return utility
def alphabeta (agent, depth, gameState, alpha, beta):
if (gameState.isWin() is True) or (gameState.isLose() is True) or (depth == self.depth):
return self.evaluationFunction(gameState)
elif agent == 0: # maximizing for pacman
return maxValue(agent, depth, gameState, alpha, beta)
else: # minimizing for ghosts
return minValue(agent, depth, gameState, alpha, beta)
maxUtility = -99999
alpha = -99999 # initializing alpha as negative infinity
beta = 99999 # initializing beta as infinity
for state in gameState.getLegalActions(0):
utility = alphabeta(1, 0, gameState.generateSuccessor(0, state), alpha, beta)
if maxUtility < utility:
maxUtility = utility
action = state
if maxUtility > beta:
# print maxUtility
return maxUtility
alpha = max(maxUtility, alpha)
# print alpha
return action
class ExpectimaxAgent(MultiAgentSearchAgent):
"""
Your expectimax agent (question 4)
"""
def getAction(self, gameState):
"""
Returns the expectimax action using self.depth and self.evaluationFunction
All ghosts should be modeled as choosing uniformly at random from their
legal moves.
"""
"*** YOUR CODE HERE ***"
# util.raiseNotDefined()
def expectimax (agent, depth, gameState):
if (gameState.isWin() is True) or (gameState.isLose() is True) or (depth == self.depth):
return self.evaluationFunction(gameState)
elif agent == 0:
utility=[]
for state in gameState.getLegalActions(agent):
utility.append(expectimax(agent+1, depth, gameState.generateSuccessor(agent, state)))
utility.sort()
# print utility[-1]
return utility[-1] # returning the highest value for pacman- max layer
else:
utility = []
if gameState.getNumAgents() == agent+1: # check if all ghost layers are over
depth = depth + 1
for state in gameState.getLegalActions(agent):
utility.append(expectimax(0, depth, gameState.generateSuccessor(agent, state)))
# print float(sum(utility)) / len(gameState.getLegalActions(agent))
return float(sum(utility)) / len(gameState.getLegalActions(agent))
else:
for state in gameState.getLegalActions(agent):
utility.append(expectimax(agent+1, depth, gameState.generateSuccessor(agent, state)))
# print float(sum(utility)) / len(gameState.getLegalActions(agent))
return float(sum(utility)) / len(gameState.getLegalActions(agent))
maxUtility = -99999
for state in gameState.getLegalActions(0):
utility = expectimax(1, 0, gameState.generateSuccessor(0, state))
if maxUtility < utility:
maxUtility = utility
action = state
return action
def betterEvaluationFunction(currentGameState):
"""
Your extreme ghost-hunting, pellet-nabbing, food-gobbling, unstoppable
evaluation function (question 5).
DESCRIPTION: <write something here so we know what you did>
"""
"*** YOUR CODE HERE ***"
# util.raiseNotDefined()
minimumDistance = -1
for foodCoordinate in currentGameState.getFood().asList():
if (manhattanDistance(currentGameState.getPacmanPosition(), foodCoordinate) < minimumDistance) or (minimumDistance == -1):
minimumDistance = float(manhattanDistance(currentGameState.getPacmanPosition(), foodCoordinate)) # getting nearest food coordinates
penalty=0
for ghostCoordinate in currentGameState.getGhostPositions():
if manhattanDistance(currentGameState.getPacmanPosition(), ghostCoordinate) <= 1:
penalty = penalty + 1 # penalizing pacman if it gets near ghost
powerPelletsRemaining = len(currentGameState.getCapsules()) # calculating number of power-pellets remaining
# print 'MD: ', minimumDistance, 1/minimumDistance
return currentGameState.getScore() + (1 / minimumDistance) - penalty - powerPelletsRemaining
# Abbreviation
better = betterEvaluationFunction
| [
"[email protected]"
] | |
0f7009cea944b20b2da325ca707f4d43de276e2a | dd41219b26ecc24d9f7146b5c2e7252836bdd34a | /insect/ScrapyProject/almax/almax/spiders/tencent.py | 840b5c1df59319bc84da29ce42902687661352c2 | [] | no_license | theme716/small-routine | a9929a4537cb37d7b049413d365d7aa39b974ba9 | 48f62e1cfb5fc3cf5df9d274bb9313b3bfad2481 | refs/heads/master | 2020-03-24T16:43:35.784465 | 2018-07-30T09:54:27 | 2018-07-30T09:54:27 | 142,834,127 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,380 | py | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from scrapy_redis.spiders import RedisCrawlSpider
import re
class TencentSpider(RedisCrawlSpider):
name = 'tencent'
allowed_domains = ['tencent.com']
# start_urls = ['http://www.baidu.com/']
redis_key = 'tencent_url'
custom_settings = {
'ITEM_PIPELINES':{
'scrapy_redis.pipelines.RedisPipeline': 999, # redis管道文件，自动把数据加载到redis
},
'CONCURRENT_REQUESTS': 50,
'CONCURRENT_ITEMS': 32,
}
rules = (
Rule(LinkExtractor(allow=(r'social.php', r'position.php'), tags=('a',), attrs=('href',)), follow=True),
Rule(LinkExtractor(allow=(r'position_detail\.php\?id='), tags=('a',), attrs=('href',)), callback='parse_item',
follow=False)
)
def parse_item(self, response):
title = response.xpath('//td[@id="sharetitle"]/text()').extract()[0]
info = response.xpath('//tr[@class="c bottomline"]/td/text()').extract()
location = info[0]
ptype = info[1]
number = info[2]
number = re.search(r'\d+', number).group()
item = {
'title': title,
'location': location,
'ptype': ptype,
'number': number
}
yield item
| [
"[email protected]"
] | |
265c272cff2ea4eb148e441cb4ebdbc57480afe5 | 461e86491b5a3bdf4c6597c4615e869fc5c6ad9e | /mmdet-v2/tools/x2coco.py | 1b9dc92707e89c3fb58b238ef6cfb9ff945441ec | [
"Apache-2.0"
] | permissive | li-phone/OpenDetection | 0356d805f1332a1c0f4b29ade3712ea1343ead68 | ac2e694f3c9c2cbb864d79d5322b442080451413 | refs/heads/master | 2023-03-17T11:08:51.945742 | 2021-03-18T09:32:10 | 2021-03-18T09:32:10 | 344,006,704 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,226 | py | import glob
import os
import json
import uuid
import pandas as pd
import numpy as np
import argparse
import xml.etree.ElementTree as ET
from PIL import Image
from tqdm import tqdm
try:
from pandas import json_normalize
except:
from pandas.io.json import json_normalize
class MultipleKVAction(argparse.Action):
"""
argparse action to split an argument into KEY=VALUE form
on the first = and append to a dictionary. List options should
be passed as comma separated values, i.e KEY=V1,V2,V3
"""
def _parse_int_float_bool(self, val):
try:
return int(val)
except ValueError:
pass
try:
return float(val)
except ValueError:
pass
if val.lower() in ['true', 'false']:
return True if val.lower() == 'true' else False
return val
def __call__(self, parser, namespace, values, option_string=None):
options = {}
for kv in values:
key, val = kv.split('=', maxsplit=1)
val = [self._parse_int_float_bool(v) for v in val.split(',')]
if len(val) == 1:
val = val[0]
options[key] = val
setattr(namespace, self.dest, options)
def _get_box(points):
min_x = min_y = np.inf
max_x = max_y = 0
for x, y in points:
min_x = min(min_x, x)
min_y = min(min_y, y)
max_x = max(max_x, x)
max_y = max(max_y, y)
return [min_x, min_y, max_x - min_x, max_y - min_y]
def read_xml(xml_path, img_dir):
if isinstance(xml_path, str):
xml_path = glob.glob(os.path.join(xml_path, '*.xml'))
anns = []
for path in tqdm(xml_path):
img_id = os.path.basename(path)
img_id = img_id.split(".xml")[0]
img_path = glob.glob(os.path.join(img_dir, img_id + ".*"))
assert len(img_path) == 1
img_path = img_path[0]
if not os.path.exists(img_path):
print(img_path, "not exists")
tree = ET.parse(path)
root = tree.getroot()
size = root.find('size')
if size is not None:
img_w = int(size.find('width').text)
img_h = int(size.find('height').text)
for obj in root.iter('object'):
difficult = obj.find('difficult')
if difficult is not None:
iscrowd = int(difficult.text)
else:
iscrowd = 0
label_name = obj.find('name').text
xmlbox = obj.find('bndbox')
xmin, xmax, ymin, ymax = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text),
float(xmlbox.find('ymin').text), float(xmlbox.find('ymax').text))
bbox = [xmin, ymin, xmax, ymax]
ann = dict(
file_name=os.path.basename(img_path),
label=label_name,
bbox=bbox,
iscrowd=iscrowd,
)
anns.append(ann)
return json_normalize(anns)
def read_json(anns):
if isinstance(anns, str):
if anns[-5:] == '.json':
with open(anns) as fp:
anns = json.load(fp)
elif anns[-4:] == '.csv':
anns = pd.read_csv(anns)
if isinstance(anns, list):
anns = json_normalize(anns)
assert isinstance(anns, pd.DataFrame)
if 'bbox' not in list(anns.columns):
bbox = []
for i in range(anns.shape[0]):
r = anns.iloc[i]
b = [r['xmin'], r['ymin'], r['xmax'], r['ymax']]
b = [float(_) for _ in b]
bbox.append(b)
anns['bbox'] = bbox
if 'name' in list(anns.columns):
anns = anns.rename(columns={'name': 'file_name'})
if 'defect_name' in list(anns.columns):
anns = anns.rename(columns={'defect_name': 'label'})
elif 'category' in list(anns.columns):
anns = anns.rename(columns={'category': 'label'})
return anns
def read_PANDA(path):
def __get_box__(obj, w, h):
x1 = obj['tl']['x'] * w
y1 = obj['tl']['y'] * h
x2 = obj['br']['x'] * w
y2 = obj['br']['y'] * h
return [x1, y1, x2, y2]
files = glob.glob(os.path.join(path, "*.json"))
results, ignore_labels = [], set()
for file in tqdm(files):
collect_keys = {
# person
"fake person": "visible body", "ignore": "visible body", "people": "visible body",
"crowd": "visible body", "person": "person",
# car
"fake": "car",
"small car": "car", "midsize car": "car", "large car": "car", "bicycle": "car", "motorcycle": "car",
"tricycle": "car", "electric car": "car", "baby carriage": "car", "vehicles": "car", "unsure": "car"
}
with open(file, 'r') as fp:
annotations = json.load(fp)
for fname, img_obj in annotations.items():
img_w, img_h = img_obj["image size"]["width"], img_obj["image size"]["height"]
for obj in img_obj["objects list"]:
if obj['category'] in collect_keys.keys():
rects = {}
assert ('rect' in obj.keys() and 'rects' not in obj.keys()) or (
'rect' not in obj.keys() and 'rects' in obj.keys())
if 'rect' in obj.keys():
rects = {collect_keys[obj['category']]: obj['rect']}
elif 'rects' in obj.keys():
rects = obj['rects']
group_uuid = str(uuid.uuid4()).replace('-', '')
for k, v in rects.items():
label, bbox = k, __get_box__(v, img_w, img_h)
result = dict(ori_img_id=img_obj['image id'], file_name=fname)
result['label'] = label
result['bbox'] = bbox
result['bbox_uuid'] = str(uuid.uuid4()).replace('-', '')
result['group_uuid'] = group_uuid
result['ori_info'] = obj
results.append(result)
else:
raise Exception("No such ", obj['category'])
results = json_normalize(results)
print('-' * 32, 'bbox len=', len(results), '-' * 32)
print(results.groupby(by='label').count())
return results
def convert2coco(anns, save_name, img_dir, label2cat=None, bgcat=None, supercategory=None, **kwargs):
assert isinstance(anns, pd.DataFrame)
assert 'bbox' in list(anns.columns) and 'label' in list(anns.columns) and 'file_name' in list(anns.columns)
if 'id' not in list(anns.columns): anns['id'] = list(range(anns.shape[0]))
if label2cat is None:
label2cat = list(np.array(anns['label'].unique()))
if bgcat in label2cat:
label2cat.remove(bgcat)
label2cat = np.sort(label2cat)
label2cat = list(label2cat)
label2cat = {i + 1: v for i, v in enumerate(label2cat)}
# not including background label
# if bgcat is not None:
# label2cat[0] = bgcat
if supercategory is None:
supercategory = [None] * (len(label2cat) + 1)
# ------------------categories-----------------#
coco = dict(info=None, license=None, categories=[], images=[], annotations=[])
label2cat = {v: k for k, v in label2cat.items()}
coco['categories'] = [dict(name=str(k), id=v, supercategory=supercategory[v]) for k, v in label2cat.items()]
# ------------------images-----------------#
images = list(anns['file_name'].unique())
for i, v in tqdm(enumerate(images)):
if os.path.exists(os.path.join(img_dir, v)):
img_ = Image.open(os.path.join(img_dir, v))
height_, width_, _ = img_.height, img_.width, 3
else:
row = anns.iloc[i]
height_, width_, _ = int(row['image_height']), int(row['image_width']), 3
assert height_ is not None and width_ is not None
keep_df = anns[anns['file_name'] == v]
cats = list(keep_df['label'].unique())
has_object = 0 if len(cats) == 0 or (len(cats) == 1 and cats[0] == bgcat) else 1
coco['images'].append(dict(file_name=v, id=v, width=width_, height=height_, has_object=has_object))
image2id = {v['file_name']: v['id'] for i, v in enumerate(coco['images'])}
# ------------------bboxes-----------------#
annotations = anns.to_dict('records')
for v in annotations:
if v['label'] is None or v['label'] == bgcat or v['bbox'] is None:
continue
bbox = v['bbox']
area = (bbox[2] - bbox[0]) * (bbox[3] - bbox[1])
points = [[bbox[0], bbox[1]], [bbox[2], bbox[1]], [bbox[2], bbox[3]], [bbox[0], bbox[3]]]
ann = dict(
id=v['id'],
image_id=image2id[v['file_name']],
category_id=label2cat[v['label']],
bbox=_get_box(points),
iscrowd=0,
ignore=0,
area=area
)
for k1, v1 in v.items():
if k1 not in ann:
ann[k1] = v1
coco['annotations'].append(ann)
save_name = save_name.replace('\\', '/')
save_dir = os.path.dirname(save_name)
if not os.path.exists(save_dir):
os.makedirs(save_dir)
with open(save_name, 'w', encoding='utf-8') as fp:
json.dump(coco, fp)
def imgdir2coco(coco_sample, save_name, img_dir):
if isinstance(coco_sample, str):
from pycocotools.coco import COCO
coco_sample = COCO(coco_sample)
coco_sample = coco_sample.dataset
coco_test = dict(
info=coco_sample['info'], license=coco_sample['license'], categories=coco_sample['categories'],
images=[], annotations=[])
images = glob.glob(os.path.join(img_dir, '*'))
for i, v in tqdm(enumerate(images)):
file_name = v
if os.path.exists(file_name):
img_ = Image.open(file_name)
height_, width_, _ = img_.height, img_.width, 3
else:
height_, width_, _ = None, None, None
dir_idx = len(os.path.dirname(img_dir)) + 1
file_name = file_name[dir_idx:]
coco_test['images'].append(dict(file_name=file_name, id=i, width=width_, height=height_))
with open(save_name, 'w') as fp:
json.dump(coco_test, fp)
def help():
print('''
Transform other dataset format into coco format, including PANDA数据集, Pascal VOC xml注解, 天池检测json注解等\n
''')
def parse_args():
help()
parser = argparse.ArgumentParser(description='Transform other dataset format into coco format')
parser.add_argument('--x',
default=r"data/track/panda_round1_train_annos_202104/",
help='x file/folder or original annotation file in test_img mode')
parser.add_argument('--save_name',
default=r"data/track/annotations/ori_instance_all_category.json",
help='save coco filename')
parser.add_argument('--img_dir',
default=r"data/track/panda_round1_train_202104_part1",
help='img_dir')
parser.add_argument(
'--options',
nargs='+', action=MultipleKVAction,
help='bgcat(background label), info=None, license=None'
)
parser.add_argument(
'--fmt',
choices=['json', 'xml', 'test_dir', 'csv', 'PANDA'],
default='PANDA', help='format type')
args = parser.parse_args()
return args
def main():
args = parse_args()
kwargs = {} if args.options is None else args.options
if args.fmt == 'xml':
anns = read_xml(args.x, args.img_dir)
convert2coco(anns, args.save_name, args.img_dir, **kwargs)
elif args.fmt == 'csv' or args.fmt == 'json':
anns = read_json(args.x)
convert2coco(anns, args.save_name, args.img_dir, **kwargs)
elif args.fmt == 'PANDA':
anns = read_PANDA(args.x)
convert2coco(anns, args.save_name, args.img_dir, **kwargs)
elif args.fmt == 'test_dir':
imgdir2coco(args.x, args.save_name, args.img_dir)
if __name__ == '__main__':
main()
| [
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46bb2fe5f508db52e1505bbc7c0b071685cc9260 | 4cf07ca1f1532df2c8d096c2ecb12b46fbc2045c | /camera/camera_test.py | 14eec59a7bcc6cccf28a0102eb2a7d479a290467 | [] | no_license | ladybirds1996/binocular | 2aee91f6c4886352160b99a643ea45b66f9a4b92 | f9ea73abefe1d28e3b140f22cabee5ea7ca2b534 | refs/heads/master | 2022-11-10T22:52:40.515850 | 2020-07-06T11:58:44 | 2020-07-06T11:58:44 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 866 | py | import cv2 as cv
import time
import os
AUTO = True # 自动拍照，或手动按s键拍照
INTERVAL = 5 # 自动拍照间隔
left_camera = cv.VideoCapture(0)
right_camera = cv.VideoCapture(2)
counter = 1
utc = time.time()
left_folder = os.getcwd()+"/" # 拍照文件目录
right_folder = os.getcwd()+"/"# 拍照文件目录
def shot_left(pos, frame):
global counter
path = left_folder+pos + "_" + str(counter) + ".jpg"
cv.imwrite(path, frame)
print("snapshot saved into: " + path)
def shot_right(pos,frame):
global counter
path = right_folder + pos + "_" + str(counter) + ".jpg"
cv.imwrite(path, frame)
print("snapshot saved into: " + path)
ret, left_frame = left_camera.read()
ret, right_frame = right_camera.read()
shot_left("left", left_frame)
shot_right("right", right_frame)
left_camera.release()
right_camera.release()
| [
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] | |
7ae1bf518091dd24930c86da8433978bb104da76 | a83a08b3ffabfd7401db3d13045463b28a21c838 | /Stacks Queues Tuples and Sets - E1Q2.py | 05e196fdd6ff71329a883cc4ab01f8e5a7e8eed5 | [] | no_license | BogomilaKatsarska/Python-Advanced-SoftUni | 269eeeab28bba373bb22d1c30a8fef6a9105180e | 49a5b93a57542fb09bc245dacd267e6d5733fd21 | refs/heads/main | 2023-08-19T13:08:23.201138 | 2021-10-24T16:23:54 | 2021-10-24T16:23:54 | 408,366,555 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 558 | py | from collections import deque
arithmetic_expressions = {
'+': lambda a, b: a+b,
'-': lambda a, b: a-b,
'*': lambda a, b: a*b,
'/': lambda a, b: a//b,
}
characters = input().split()
numbers = deque()
for ch in characters:
if ch in arithmetic_expressions:
result = numbers.popleft()
while numbers:
number = numbers.popleft()
result = arithmetic_expressions[ch] (result,number)
numbers.append(result)
else:
numbers.append((int(ch)))
print(numbers.popleft()) | [
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] | |
9b8a6eb476dda0f338c93d4d3fd71b98a3fa6131 | 0d0d858c8082255f7cb0027ff8201b2c8077ba80 | /app.py | 502e423cbae5d94a7bbf99c9d0850e7a7236bb55 | [] | no_license | a2975667/QV-app | deaa61b7a27dd1b05dd5dfeb3827b35757ac693f | 5b4f06a67ed6a603c5b67017d52a731ddff54163 | refs/heads/master | 2022-05-17T23:52:51.106880 | 2020-11-25T16:28:17 | 2020-11-25T16:28:17 | 218,550,686 | 0 | 0 | null | 2019-10-30T14:47:38 | 2019-10-30T14:47:33 | null | UTF-8 | Python | false | false | 109 | py | from server import app
# import logging
# log = logging.getLogger('werkzeug')
# log.setLevel(logging.ERROR)
| [
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] | |
f9e931a08d616071d1583bae2d148106a3ce2da0 | aa058f0f037476e0024205576164c505a5a7f90c | /.history/app_20190910145803.py | c8beade51124c7d8178a8762d007bc00e2ab8eba | [] | no_license | MorsChen/python-blog | 12a2f17c133446cdae3132d41ddf111eab88f430 | beb459febc011cb2b3ab6902c527e6681da16778 | refs/heads/master | 2022-10-10T04:20:04.303818 | 2019-09-11T10:44:37 | 2019-09-11T10:44:37 | 207,223,846 | 0 | 0 | null | 2022-09-16T18:09:43 | 2019-09-09T04:27:27 | Python | UTF-8 | Python | false | false | 11,946 | py | from flask import Flask, request, render_template, redirect, url_for, flash
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_login import LoginManager, login_required, login_user, logout_user, UserMixin, current_user
from werkzeug.security import check_password_hash, generate_password_hash
from datetime import datetime, date
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, SubmitField, ValidationError, TextField, TextAreaField, validators, BooleanField
from wtforms.validators import DataRequired, Email, EqualTo, Length, InputRequired
app = Flask(__name__)
login = LoginManager(app)
# app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///largeblogdb.db'
POSTGRES = {
'user': "mors",
'pw': "1234",
'db': "blog",
'host': "localhost",
'port': 5432,
}
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://%(user)s:%(pw)s@%(host)s:\
%(port)s/%(db)s' % POSTGRES
app.secret_key = "Stupid Things"
app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0
db = SQLAlchemy(app)
migrate = Migrate(app, db)
class Users(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String, nullable=False, unique=True)
email = db.Column(db.String, nullable=False, unique=True)
password = db.Column(db.String, nullable=False)
is_admin = db.Column(db.Boolean, default = False)
posts = db.relationship('Posts', backref='users', cascade="all, delete-orphan", lazy='dynamic')
comments = db.relationship('Comments', backref='users', cascade="all, delete-orphan", lazy='dynamic')
flags = db.relationship('Flag', backref='users', cascade="all, delete-orphan", lazy='dynamic')
def set_pass(self, passw):
self.password = generate_password_hash(passw)
def check_pass(self, passw):
return check_password_hash(self.password, passw)
def set_admin(self):
self.is_admin = True
class Posts(db.Model):
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String, nullable=False)
body = db.Column(db.String, nullable=False)
author = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False)
created = db.Column(db.DateTime, nullable=False)
updated = db.Column(db.DateTime)
comments = db.relationship('Comments', backref='posts', cascade="all, delete-orphan", lazy='dynamic')
views = db.Column(db.Integer, default = 0)
flags = db.relationship('Flag', backref='posts',cascade="all, delete-orphan", lazy='dynamic')
class Comments(db.Model):
id = db.Column(db.Integer, primary_key=True)
body = db.Column(db.String, nullable=False)
author = db.Column(db.Integer, db.ForeignKey('users.id'), nullable=False)
created = db.Column(db.DateTime, nullable=False)
updated = db.Column(db.DateTime)
post = db.Column(db.Integer, db.ForeignKey('posts.id'), nullable=False)
class Flag (db.Model):
id = db.Column(db.Integer, primary_key = True)
author_id = db.Column(db.Integer, db.ForeignKey('users.id'))
posts_id = db.Column(db.Integer, db.ForeignKey('posts.id'))
db.create_all()
@login.user_loader
def load_user(id):
return Users.query.get(int(id))
class Register(FlaskForm):
username = StringField("User Name", validators=[DataRequired('Please input your username'),
Length(min=3, max=20, message='username must have at least 3 chars and max 20 chars')])
email = StringField("Email Address", validators=[
DataRequired(), Email("Please input an appropriate email address")])
password = PasswordField("Password", validators=[
DataRequired(), EqualTo('confirm')])
confirm = StringField("Confirm", validators=[DataRequired()])
submit = SubmitField("Register")
def validate_username(self, field):
if Users.query.filter_by(username=field.data).first():
raise ValidationError("Your name has been register !!!")
def validate_email(self, field):
if Users.query.filter_by(email=field.data).first():
raise ValidationError("Your email has been register !!!")
class Login(FlaskForm):
email = StringField("Email Address", validators=[
DataRequired(), Email("Please input an appropriate email address")])
password = PasswordField("Password", validators=[DataRequired()])
submit = SubmitField("Login")
class NewPost(FlaskForm):
title = StringField("Blog Title", validators=[DataRequired('Please input blog title'),
Length(min=3, max=255, message='title must have at least 3 chars and max 255 chars')])
body = StringField("Blog Body", validators=[DataRequired('Please input blog body'),
Length(min=3, max=1000, message='username must have at least 3 chars and max 1000 chars')])
submit = SubmitField('Post')
class NewComment(FlaskForm):
body = StringField("Comment content", validators=[DataRequired('Please input blog body'),
Length(min=3, max=1000, message='username must have at least 3 chars and max 1000 chars')])
submit = SubmitField('Comment')
@app.route('/register', methods=['POST', 'GET'])
def register():
form = Register()
if request.method == 'POST':
if form.validate_on_submit():
new_user = Users(username=form.username.data,
email=form.email.data,)
new_user.set_pass(form.password.data)
db.session.add(new_user)
db.session.commit()
return redirect(url_for('main'))
else:
for field_name, errors in form.errors.items():
flash(errors)
return redirect(url_for('register'))
return render_template('register.html', form=form)
@app.route('/login', methods=['POST', 'GET'])
def login():
form = Login()
if request.method == 'POST':
check = Users.query.filter_by(email=form.email.data).first()
if check:
if check.check_pass(form.password.data):
login_user(check)
return redirect(url_for('main'))
else:
flash(['email address or password was wrong !!! '])
return redirect(url_for('login'))
return render_template('login.html', form=form)
@app.route('/profile', methods=['POST', 'GET'])
@login_required
def profile():
posts = Posts.query.filter_by(author=current_user.id).all()
return render_template('profile.html', posts=posts)
@app.route('/logout')
@login_required
def logout():
logout_user()
return redirect(url_for('main'))
@app.route('/newpost', methods=['POST', 'GET'])
@login_required
def newpost():
form = NewPost()
if request.method == 'POST':
newpost = Posts(title=form.title.data,
body=form.body.data,
created=datetime.now())
current_user.posts.append(newpost)
db.session.add(newpost)
db.session.commit()
return redirect(url_for('main'))
return render_template("createpost.html", form=form)
@app.route('/editpost/<id>', methods=['POST', 'GET'])
@login_required
def editpost(id):
form = NewPost()
post = Posts.query.filter_by(id=id, author=current_user.id).first()
if not post:
flash([['you are not allow to edit the post']])
return redirect(url_for('main'))
else:
if request.method == 'POST':
post.title = form.title.data
post.body = form.body.data
post.uploaded = datetime.now()
db.session.commit()
return redirect(url_for('single_post', id = id))
return render_template('editpost.html', form = form, post = post)
@app.route('/singlepost/<id>', methods = ['POST', 'GET'])
@login_required
def single_post(id):
post = Posts.query.filter_by(id = id).first()
comments = post.comments.all()
if post:
form = NewComment()
post.views += 1
db.session.commit()
return render_template('single_post.html', post = post, comments = comments)
@app.route('/posts/<id>/comments', methods=['POST', 'GET'])
@login_required
def new_comment(id):
form = NewComment()
post = Posts.query.filter_by(id=id).first()
if request.method == 'POST':
if form.validate_on_submit():
c = Comments(body=form.body.data,
created=datetime.now(),
# author = current_.user.id,
# post = id,
)
current_user.comments.append(c) # author
post.comments.append(c) # post
db.session.add(c)
db.session.commit()
return redirect(url_for('single_post', id = id))
else:
for field_name, errors in form.errors.items():
flash(errors)
return redirect(url_for('new_comment', id = id))
return render_template('new_comment.html', form=form, post=post)
@app.route('/post/<pid>/editcomment/<cid>', methods = ['POST','GET'])
@login_required
def editcomment(pid,cid):
form = NewComment()
post = Posts.query.filter_by(id=pid).first()
comment = Comments.query.filter_by(id=cid, author=current_user.id).first()
if not comment:
flash([['you are not allow to edit the comment']])
return redirect(url_for('single_post', id = pid))
else:
if request.method == 'POST':
print(comment)
comment.body = form.body.data
comment.uploaded = datetime.now()
db.session.commit()
print(comment.body)
return redirect(url_for('single_post',id = pid))
return render_template('editcomment.html', form = form, comment = comment, post = post)
@app.route("/posts/<id>/flag", methods=['POST', 'GET'])
def report(id):
post = Posts.query.filter_by(id=id).first()
ref = request.args.get('ref')
if post:
existing_flags = Flag.query.filter_by(posts_id=id, author_id=current_user.id).first()
if not existing_flags:
flag = Flag(posts_id=id)
current_user.flags.append(flag)
db.session.add(flag)
db.session.commit()
return redirect(ref)
print('check flags')
return redirect(ref)
return redirect(url_for('post'))
@app.route('/admin', methods = ['POST','GET'])
@login_required
def admin_ctrl():
if current_user.is_admin:
posts = Posts.query.all()
flag = Flag.query.all()
return render_template('admin.html', posts = posts, flag = flag)
else:
return redirect(url_for('main'))
@app.route("/delete/<id>", methods=["GET"])
@login_required
def delete(id):
post = Posts.query.filter_by(id=id).first()
if current_user.is_admin or Posts.query.filter_by(id=id, author=current_user.id).first():
db.session.delete(post)
db.session.commit()
flash("Post successfully deleted!", 'success')
else:
flash("You are not authorized to delete this post", "danger")
return redirect(url_for("main"))
@app.route("/delete-comment/<id>", methods=['POST', 'GET'])
@login_required
def del_comment(id):
comment = Comments.query.filter_by(id=id).first()
if current_user.is_admin or Comments.query.filter_by(id=id, author = current_user.id).first() :
db.session.delete(comment)
db.session.commit()
flash("Comment deleted!")
else:
flash("You are not authorized to delete this comment", "danger")
return redirect(url_for("single_post", id=comment.post))
@app.route('/')
def main():
posts = Posts.query.all()
comments = Comments.query.all()
return render_template('home.html', posts=posts, comments=comments)
if __name__ == "__main__":
app.run(debug=True)
| [
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051191f47a1eb6259acc4e9023c04dfa174478ba | c609730a43596a2d3303f072fc97d9cf681fac7b | /cagey/carbuisness/carbuisness/spiders/yangche51_store.py | 498baa839fb7aa718c992272cb8754694176551a | [] | no_license | sinnettluo/ChenProject | 5403311c0c7b78c484145e16d692abff00d2a110 | 0e33ecf1683afb22f1deb4bd54294c41aed8a46b | refs/heads/master | 2023-03-22T23:48:08.430178 | 2020-09-02T15:05:02 | 2020-09-02T15:05:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,409 | py | # -*- coding: utf-8 -*-
"""
C2017-09
"""
import scrapy
from carbuisness.items import Yangche51StoreItem
import time
from scrapy.conf import settings
from scrapy.mail import MailSender
import logging
import json
import random
import re
import hashlib
from hashlib import md5
website='yangche51_store'
class CarSpider(scrapy.Spider):
name=website
start_urls=['http://p.yangche51.com/p-110100']
def __init__(self,**kwargs):
#print "do init"
super(CarSpider,self).__init__(**kwargs)
self.mailer=MailSender.from_settings(settings)
self.counts=0
self.carnum=80000
settings.set('CrawlCar_Num',self.carnum,priority='cmdline')
settings.set('MONGODB_DB','carbusiness',priority='cmdline')
settings.set('MONGODB_COLLECTION',website,priority='cmdline')
def parse(self, response):
areas = response.xpath('//div[@class="province"]/p/a')
for area in areas:
city = area.xpath('text()').extract_first()
metadata = {"city" : city}
url = area.xpath('@href').extract_first()
yield scrapy.Request(url, meta={"metadata":metadata}, callback=self.parse_middle1, dont_filter=True)
def parse_middle1(self, response):
metadata = response.meta['metadata']
if response.xpath('//div[@id="points"]/text()'):
points_base = response.xpath('//div[@id="points"]/text()').extract_first()
points = points_base.split("|")
for point_info in points:
point = point_info.split(",")
location = point[2]
addmeta = {"location" : location}
metadata = dict(metadata, **addmeta)
url_info = point[3]
url = "http://p.yangche51.com/info-" + url_info +".html"
yield scrapy.Request(url, meta={"metadata":metadata}, callback=self.parse_info, dont_filter=True)
def parse_info(self, response):
metadata = response.meta['metadata']
item = Yangche51StoreItem()
item['url'] = response.url
item['website'] = website
item['grabtime'] = time.strftime('%Y-%m-%d %X', time.localtime())
item['status'] = response.url
item['city'] = metadata['city']
if response.xpath('//div[@class="shopName"]/p/text()'):
item['shopname'] = response.xpath('//div[@class="shopName"]/p/text()').extract_first()
else:
item['shopname'] = "-"
if response.xpath('//div[@class="shopName"]/h1/text()'):
location = response.xpath('//div[@class="shopName"]/h1/text()').extract_first().strip()
item['location'] = location
item['shopno'] = re.findall("NO.(\d+)", location)[0]
else:
item['location'] = "-"
item['shopno'] = "-"
if response.xpath(u'//dt[contains(text(),"服务时间：")]/../dd/text()'):
item['shop_hours'] = response.xpath(u'//dt[contains(text(),"服务时间：")]/../dd/text()').extract_first()
else:
item['shop_hours'] = "-"
if response.xpath('//div[@class="shopInfo"]/input[@id="HiddenStrPhone"]/@value'):
item['phone'] = response.xpath('//div[@class="shopInfo"]/input[@id="HiddenStrPhone"]/@value').extract_first()
else:
item['phone'] = "-"
if response.xpath(u'//dt[contains(text(),"车型服务：")]/../dd//span[@class="percent"]/text()'):
item['carservice'] = response.xpath(u'//dt[contains(text(),"车型服务：")]/../dd//span[@class="percent"]/text()').extract_first()
else:
item['carservice'] = "-"
if response.xpath(u'//dt[contains(text(),"技术等级：")]/../dd//div[@class="techdiv"]/strong/text()'):
item['skilllevel'] = response.xpath(u'//dt[contains(text(),"技术等级：")]/../dd//div[@class="techdiv"]/strong/text()').extract_first()
else:
item['skilllevel'] = "-"
if response.xpath(u'//dt[contains(text(),"用户评价：")]/../dd/div[@class="nStar"]/span/a/text()'):
num = response.xpath(u'//dt[contains(text(),"用户评价：")]/../dd/div[@class="nStar"]/span/a/text()').extract_first()
item['commentnum'] = re.findall("\d+", num)[0]
else:
item['commentnum'] = "-"
if response.xpath(u'//dt[contains(text(),"好 评 率 ：")]/../dd/div[@class="shopLine"]/span/text()'):
item['goodper'] = response.xpath(u'//dt[contains(text(),"好 评 率 ：")]/../dd/div[@class="shopLine"]/span/text()').extract_first()
else:
item['goodper'] = "-"
if response.xpath('//div[@class="shopScore"]/div/span[@class="zanGoal"][1]/a/text()'):
userscore = response.xpath('//div[@class="shopScore"]/div/span[@class="zanGoal"][1]/a/text()').extract_first().strip()
item['userscore'] = re.findall(u"(.*?)分", userscore)[0]
else:
item['userscore'] = "-"
if response.xpath(u'//dl[@id="staScore"]/dt[contains(text(),"服务态度：")]/../dd[1]/div[@class="nStar"]/span/text()'):
servicescore = response.xpath(u'//dl[@id="staScore"]/dt[contains(text(),"服务态度：")]/../dd[1]/div[@class="nStar"]/span/text()').extract_first()
item['servicescore'] = re.findall(u"(.*?)分", servicescore)[0]
else:
item['servicescore'] = "-"
if response.xpath(u'//dl[@id="staScore"]/dt[contains(text(),"店内环境：")]/../dd[2]/div[@class="nStar"]/span/text()'):
envirscore = response.xpath(u'//dl[@id="staScore"]/dt[contains(text(),"店内环境：")]/../dd[2]/div[@class="nStar"]/span/text()').extract_first()
item['envirscore'] = re.findall(u"(.*?)分", envirscore)[0]
else:
item['envirscore'] = "-"
if response.xpath(u'//dl[@id="staScore"]/dt[contains(text(),"技术水平：")]/../dd[3]/div[@class="nStar"]/span/text()'):
skillscore = response.xpath(u'//dl[@id="staScore"]/dt[contains(text(),"技术水平：")]/../dd[3]/div[@class="nStar"]/span/text()').extract_first()
item['skillscore'] = re.findall(u"(.*?)分", skillscore)[0]
else:
item['skillscore'] = "-"
yield item
| [
"[email protected]"
] | |
8600a0b119b99c72e2471961e9933d25ea5443ad | 44cae9fd5fba12f65dd753d0913eeb552419ac0e | /variaveis_tipos_ dados/ex52_seccao4.py | cacf04800ddbd68e07154f63185d15efa9d37241 | [] | no_license | aluisq/Python | 60edffa477f90bde67a76cc9306a8a5f39b82a4d | 2c065a01ef0fb2099f89f440f5d5ae2658cad7da | refs/heads/master | 2021-06-22T15:19:48.290092 | 2021-06-14T23:32:40 | 2021-06-14T23:32:40 | 214,283,256 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 813 | py | premio = float(input("Digite o valor do premio: "))
inv_prim = float(input("Digite o valor investido pelo primeiro ganhador: "))
inv_seg = float(input(("Digite o valor investido pelo segundo ganhador: ")))
inv_ter = float(input("Digite o valor investido pelo terceiro ganhador: "))
inv_total = inv_prim + inv_seg + inv_ter
print(f"Foi investido a quantia de R${inv_total}")
payback = premio - inv_total
payback_prim = round((inv_prim*payback)/inv_total,2)
payback_seg = round((inv_seg*payback)/inv_total,2)
payback_ter = round((inv_ter*payback)/inv_total,2)
print(f"""
O prêmio no valor de R${premio} reais foi dividido da seguinte maneira:
[1] - O primeiro ganhador receberá: {payback_prim}
[2] - O segundo ganhador receberá: {payback_seg}
[3] - O terceiro ganhador receberá: {payback_ter}
""")
| [
"[email protected]"
] | |
b88cb5dd6c01509f7dfc14c802104c8148fd53e5 | 6dec0d44726699a5176b9d9a111f88f88228791f | /hugs/calc/met.py | 1d7ce6183141fbff29207824fa2636084c242014 | [
"BSD-3-Clause"
] | permissive | aeltanawy/setting_open_source_scipy2018 | acf90ee4dc4288e02fde08beca33293625fd3f97 | 891e6a3f33c735e316ef8d6a0454667c5fb87eae | refs/heads/master | 2020-03-22T18:16:50.331381 | 2018-07-10T15:47:20 | 2018-07-10T15:47:20 | 140,449,140 | 0 | 0 | BSD-3-Clause | 2018-07-10T16:21:38 | 2018-07-10T15:01:48 | Python | UTF-8 | Python | false | false | 1,973 | py | """Contains a collection of basic calculations.
These include:
* wind components
"""
from __future__ import division
import warnings
import numpy as np
def get_wind_speed(u, v):
r"""Compute the wind speed from u and v-components.
Parameters
----------
u : array_like
Wind component in the X (East-West) direction
v : array_like
Wind component in the Y (North-South) direction
Returns
-------
wind speed: array_like
The speed of the wind
See Also
--------
get_wind_components
"""
speed = np.sqrt(u * u + v * v)
return speed
def get_wind_dir(u, v):
r"""Compute the wind direction from u and v-components.
Parameters
----------
u : array_like
Wind component in the X (East-West) direction
v : array_like
Wind component in the Y (North-South) direction
Returns
-------
wind direction: `pint.Quantity`
The direction of the wind, specified as the direction from
which it is blowing, with 0 being North.
See Also
--------
get_wind_components
"""
wdir = 90. - np.degrees(np.arctan2(-v, -u))
wdir[wdir < 0] += 360.
return wdir
def get_wind_components(speed, wdir):
r"""Calculate the U, V wind vector components from the speed and direction.
Parameters
----------
speed : array_like
The wind speed (magnitude)
wdir : array_like
The wind direction, specified as the direction from which the wind is
blowing, with 0 being North.
Returns
-------
u, v : tuple of array_like
The wind components in the X (East-West) and Y (North-South)
directions, respectively.
See Also
--------
get_wind_speed
get_wind_dir
"""
if wdir > 360:
warnings.warn('Wind direction greater than 360 degrees.')
wdir = np.radians(wdir)
u = -speed * np.sin(wdir)
v = -speed * np.cos(wdir)
return u, v
| [
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] | |
6c4f9df9a0f46e1c7f8c0a3938d9fbc41261c24b | 27ce8bce9cbb218577f8cc4304b55a5e161b3f44 | /movie.py | 67d92c6d8a3519d5895d157f2942a1b5279e3d82 | [] | no_license | powder-river/what-to-watch | 5994dc5e3e4bca9dae01540915c04bd23e2ce46d | 04055947be1c6f37c8506f6fb70b5d10d0b63e2a | refs/heads/master | 2020-05-31T00:25:29.660778 | 2015-09-11T18:12:31 | 2015-09-11T18:12:31 | 42,245,343 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,027 | py | import csv
import re
class Movie:
def __init__(self,title):
self.title = title
def movie_titles(self):
array = []
film_titles = []
with open('movie_data/u.item.csv', encoding='latin_1') as f:
reader = csv.reader(f,delimiter='|')
# reader = csv.DictReader(f, fieldnames=['title', 'movie_title', '', '', 'something_else'], delimiter='|')
for row in reader:
array.append([row[0],row[1]])
for n in array:
n[1] = re.sub(r'\(\d+\)', "", n[1])
film_titles.append(n)
return film_titles
def get_movie_id(self, title_list):
for n in title_list:
if self.title in n[1].lower():
return n[0]
def get_movie_name(self,title_list):
for n in title_list:
if self.title in n[1].lower():
return n[1]
# def movie_id(self):
# with open('u.item', encoding='latin_1') as f:
# reader = csv.DictReader(f, fieldnames=['movie_id', 'movie_title', '', '', 'something_else'], delimiter='|')
# for row in reader:
# print(row)
def user_rating_list(self):
array = []
with open("movie_data/u.data.csv") as w:
movie_data = w.readlines()
for i in movie_data:
i = re.sub(r'[\\tn]', " ", i)
i = i.split()
array.append(i)
return array
def average_review(self,user_ratings):
array = []
sum_array = []
for i in user_ratings:
if i[1] == self.movie_id:
array.append(i)
for i in array:
i = int(i[2])
sum_array.append(i)
average = sum(sum_array)/len(array)
return round(average,1)
def movie_ratings(self, user_ratings, movie_id):
for i in user_ratings:
if i[1] == movie_id :
print("User ID: {}, Rating: {}".format(i[0], i[2]))
def the_nose(num):
return num + 1
| [
"[email protected]"
] | |
f2470d5f9803aad9c359fa5b8cde303b2227a772 | db8719f397131c539a64dda0e8d6bc1998e8a34c | /model/denseASPP.py | 86704944773b1bab34ab5b5a717d1f848e5417e9 | [] | no_license | WambuguNM/DenseASPP-Tensorflow | adc5d958424399e6bf9acf580c0f152246646021 | b11d8998ff55cb8690dbb9545c4bce1d53875d5a | refs/heads/master | 2022-01-19T12:19:12.319567 | 2019-06-01T03:14:33 | 2019-06-01T03:14:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,394 | py | #coding=utf-8
from __future__ import print_function
from __future__ import division
import tensorflow as tf
import numpy as np
import math
import densenet
denseASPP_layers_num = 5
denseASPP_rates = [3, 6, 12, 18, 24]
CLASSES = densenet.CLASSES
def denseASPP_layer(input, rate, n, train, keep_prob):
'''
:param input: input feature map
:param rate: dilatation rate
:param n0: input channels
:param n: output channels
:return:
'''
with tf.name_scope("denseASPP_layer"):
input_shape = input.get_shape().as_list()
n = tf.cast(n, tf.int32)
weight_3 = densenet.weight_variable([3, 3, input_shape[-1], n])
####
input = densenet.bn_layer(input, train)
input = tf.nn.relu(input)
####
input = tf.nn.atrous_conv2d(input, weight_3, rate=rate, padding='SAME')
input = tf.nn.dropout(input, keep_prob=keep_prob)
return input
def denseASPP_block(input, train, keep_prob):
input_shape = input.get_shape().as_list()
c0 = input_shape[-1]
n = tf.cast(c0 / 8, tf.int32) # output feature maps of denseASPP layer
n0 = tf.cast(c0 / 4, tf.int32) # input feature maps of denseASPP layer
input_0 = input
for layer in range(1, denseASPP_layers_num + 1):
with tf.name_scope('denseASPP_layer_%d'%layer):
input_shape = input.get_shape().as_list()
####
input = densenet.bn_layer(input, train)
input = tf.nn.relu(input)
####
weight_1 = densenet.weight_variable([1, 1, input_shape[-1], n0])
input_compress = tf.nn.conv2d(input, weight_1, [1, 1, 1, 1], padding='SAME')
output = denseASPP_layer(input_compress, denseASPP_rates[layer-1], n, train, keep_prob)
input_0 = tf.concat([input_0, output], axis=-1)
input = input_0
return input
def denseASPP(input, keep_prob, train=True):
with tf.name_scope("densenet_121"):
input = densenet.densenet_121(input, keep_prob, train)
with tf.name_scope("denseASPP"):
#input = densenet.bn_layer(input, train)
input = denseASPP_block(input, train, keep_prob)
with tf.name_scope("segmentation"):
input_shape = input.get_shape().as_list()
####
#input = densenet.bn_layer(input, train)
#input = tf.nn.relu(input)
####
input = tf.nn.dropout(input, keep_prob=keep_prob)
weight_1 = densenet.weight_variable([1, 1, input_shape[-1], CLASSES])
input = tf.nn.conv2d(input, weight_1, [1, 1, 1, 1], padding='SAME')
with tf.name_scope("upsamling"):
input_shape = input.get_shape().as_list()
input = tf.image.resize_bilinear(input, [8*input_shape[1], 8*input_shape[2]])
'''
with tf.name_scope("upsampling"):
input_shape = input.get_shape().as_list()
####
input = densenet.bn_layer(input, train)
#input = tf.nn.relu(input)
####
weight_2_1 = densenet.weight_variable([2, 2, CLASSES, CLASSES])
input = tf.nn.conv2d_transpose(input, weight_2_1, [input_shape[0], input_shape[1] * 2, input_shape[2] * 2, input_shape[3]], [1, 2, 2, 1], padding='SAME')
input_shape = input.get_shape().as_list()
####
input = densenet.bn_layer(input, train)
# input = tf.nn.relu(input)
####
weight_2_2 = densenet.weight_variable([2, 2, CLASSES, CLASSES])
input = tf.nn.conv2d_transpose(input, weight_2_2,
[input_shape[0], input_shape[1] * 2, input_shape[2] * 2, input_shape[3]],
[1, 2, 2, 1], padding='SAME')
input_shape = input.get_shape().as_list()
####
# input = densenet.bn_layer(input, train)
# input = tf.nn.relu(input)
####
weight_2_3 = densenet.weight_variable([2, 2, CLASSES, CLASSES])
input = tf.nn.conv2d_transpose(input, weight_2_3,
[input_shape[0], input_shape[1] * 2, input_shape[2] * 2, input_shape[3]],
[1, 2, 2, 1], padding='SAME')
'''
output = input
return output
if __name__ == '__main__':
input = tf.constant(0.1, shape=[4, 128, 128, 3], dtype=tf.float32)
denseASPP_output = denseASPP(input, 1.0, train=True)
print(denseASPP_output)
| [
"[email protected]"
] | |
6aecd4554691ac933284a45a3afa0ef34f41c6d8 | 6d79fa94ad9972af2d5af3a4dd7e72c20af9b8e9 | /python_version/v2p.py | 0c823e5957a3d3edbe40a19b121607684736cb6c | [] | no_license | Zieng/GIFer | 5732eb8a5d375b59f212972e46c10c2bf26d74bc | b994e355c0d8189da13e9b3bb05c1a92bdda158c | refs/heads/master | 2021-01-17T18:23:17.492782 | 2016-06-11T12:39:09 | 2016-06-11T12:39:09 | 59,804,799 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,373 | py | import cv2
import time
import datetime
class V2P(object):
def __init__(self, filename, cut=False, st='00:00:00', et="00:00:00", rate=4):
super(V2P, self).__init__()
self.filename = filename
self.cut = cut
self.start = self.format_time_to_seconds(st)
self.end = self.format_time_to_seconds(et)
self.rate = rate
self.frames = []
self.width = -1
self.height = -1
# print(cv2.__version__)
def fetch(self):
vidcap = cv2.VideoCapture(self.filename)
# vidcap.set(0, self.start )
(major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.')
if int(major_ver) < 3:
fps = vidcap.get(cv2.cv.CV_CAP_PROP_FPS)
self.width = vidcap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)
self.height = vidcap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)
else:
fps = vidcap.get(cv2.CAP_PROP_FPS)
self.width = vidcap.get(cv2.CAP_PROP_FRAME_WIDTH)
self.height = vidcap.get(cv2.CAP_PROP_FRAME_HEIGHT)
success, image = vidcap.read()
count = 0
imgCount = 0
start_frame = self.start * fps
end_frame = self.end * fps
success = True
while success:
success, image = vidcap.read()
if self.cut:
if count >= start_frame and count <= end_frame:
if count % self.rate == 0:
self.frames.append(image.astype(int))
imgCount += 1
else:
if count % self.rate == 0:
self.frames.append(image.astype(int))
imgCount += 1
count += 1
def write_frame(self, imgType='bmp'):
count = 0
for x in self.frames:
cv2.imwrite("./temp/frame%d.%s"%(count, imgType), x)
count += 1
print("Frames saved at temp directories as "+imgType+" format.")
def format_time_to_seconds(self, timeStr):
"""change H:M:S format time to seconds"""
x = time.strptime(timeStr, '%H:%M:%S')
return datetime.timedelta(hours=x.tm_hour, minutes=x.tm_min, seconds=x.tm_sec).total_seconds()
if __name__ == '__main__':
x = V2P("input.mp4", "00:01:30", "00:01:40")
x.fetch()
print(x.width)
print(x.height)
x.write_frame('jpg')
| [
"[email protected]"
] | |
843d5566bde1a67a0ececa2115ddf6d6843e6bef | 71969e3559d93efbd560265db5264b1d93ddaaa2 | /manage.py | 6cea5f9c99c6a6e50b382841e5ae990f20c6547e | [
"MIT"
] | permissive | morole/LSpider | e3cc28c4afd060325d12a622c587cb45841a6e6d | 1dcdd820a8c0520cc8b3c851a5ba7bd06fcbf2f8 | refs/heads/master | 2023-06-20T21:58:43.979326 | 2021-08-02T02:36:45 | 2021-08-02T02:36:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "LSpider.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that the
# issue is really that Django is missing to avoid masking other
# exceptions on Python 2.
try:
import django
except ImportError:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
)
raise
execute_from_command_line(sys.argv)
| [
"[email protected]"
] | |
3113f4215e64cad3cba3cd9ab7636b8cddcedd02 | 1fab1995dd42862835ce36d7ba4df4c2a53b489a | /directory/migrations/0008_auto__chg_field_lbedirectoryacl_object.py | 5f29c034cda4de49e24813ba64daa982110dd472 | [] | no_license | OpenCSI/lbe | ad1d91e190d181d8ab127832fc451a1821df3353 | 11090425dd084684b1de0d8db48581a91cd6935d | refs/heads/master | 2021-04-12T05:15:50.559779 | 2013-08-29T08:33:51 | 2013-08-29T08:33:51 | 5,721,114 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,453 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Changing field 'LBEDirectoryACL.object'
db.alter_column(u'directory_lbedirectoryacl', 'object_id', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['directory.LBEObjectTemplate'], null=True))
def backwards(self, orm):
# Changing field 'LBEDirectoryACL.object'
db.alter_column(u'directory_lbedirectoryacl', 'object_id', self.gf('django.db.models.fields.related.ForeignKey')(default=None, to=orm['directory.LBEObjectTemplate']))
models = {
u'directory.lbeattribute': {
'Meta': {'object_name': 'LBEAttribute'},
'displayName': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '64'}),
'errorMessage': ('django.db.models.fields.CharField', [], {'max_length': '64', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '64'}),
'regex': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '64', 'blank': 'True'})
},
u'directory.lbeattributeinstance': {
'Meta': {'object_name': 'LBEAttributeInstance'},
'attributeType': ('django.db.models.fields.SmallIntegerField', [], {'default': '0'}),
'defaultValue': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '64', 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'lbeAttribute': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['directory.LBEAttribute']"}),
'lbeObjectTemplate': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['directory.LBEObjectTemplate']"}),
'mandatory': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'multivalue': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'position': ('django.db.models.fields.IntegerField', [], {'default': '1'}),
'reference': ('django.db.models.fields.related.ForeignKey', [], {'default': 'None', 'to': u"orm['directory.LBEReference']", 'null': 'True', 'blank': 'True'}),
'secure': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'unique': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'widget': ('django.db.models.fields.CharField', [], {'default': "'forms.CharField'", 'max_length': '64'}),
'widgetArgs': ('django.db.models.fields.CharField', [], {'default': "'None'", 'max_length': '255'})
},
u'directory.lbedirectoryacl': {
'Meta': {'object_name': 'LBEDirectoryACL'},
'attribut': ('django.db.models.fields.related.ForeignKey', [], {'default': 'None', 'to': u"orm['directory.LBEAttributeInstance']", 'null': 'True'}),
'condition': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'group': ('django.db.models.fields.related.ForeignKey', [], {'default': 'None', 'to': u"orm['directory.LBEGroup']", 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'object': ('django.db.models.fields.related.ForeignKey', [], {'default': 'None', 'to': u"orm['directory.LBEObjectTemplate']", 'null': 'True', 'blank': 'True'}),
'type': ('django.db.models.fields.CharField', [], {'default': "'select'", 'max_length': '10'})
},
u'directory.lbegroup': {
'Meta': {'object_name': 'LBEGroup'},
'approval': ('django.db.models.fields.SmallIntegerField', [], {'default': '0'}),
'displayName': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '25'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'imported_at': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(1970, 1, 1, 0, 0)'}),
'instanceNameAttribute': ('django.db.models.fields.related.ForeignKey', [], {'default': '1', 'to': u"orm['directory.LBEAttribute']"}),
'name': ('django.db.models.fields.CharField', [], {'default': "'groups'", 'max_length': '10'}),
'objectTemplate': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['directory.LBEObjectTemplate']"}),
'script': ('django.db.models.fields.related.ForeignKey', [], {'default': '1', 'to': u"orm['directory.LBEScript']"}),
'synced_at': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(1970, 1, 1, 0, 0)'}),
'version': ('django.db.models.fields.SmallIntegerField', [], {'default': '0'})
},
u'directory.lbeobjecttemplate': {
'Meta': {'object_name': 'LBEObjectTemplate'},
'approval': ('django.db.models.fields.SmallIntegerField', [], {'default': '0'}),
'displayName': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '32'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'imported_at': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(1970, 1, 1, 0, 0)'}),
'instanceDisplayNameAttribute': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'instance_displayname_attribute'", 'to': u"orm['directory.LBEAttribute']"}),
'instanceNameAttribute': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'instance_name_attribute'", 'to': u"orm['directory.LBEAttribute']"}),
'instanceNameBeforeAttribute': ('django.db.models.fields.related.ForeignKey', [], {'default': 'None', 'related_name': "'instance_name_before_attribute'", 'null': 'True', 'blank': 'True', 'to': u"orm['directory.LBEAttribute']"}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '32'}),
'needReconciliationRDN': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'reconciliation_object_different_policy': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'reconciliation_object_missing_policy': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'script': ('django.db.models.fields.related.ForeignKey', [], {'default': '1', 'to': u"orm['directory.LBEScript']"}),
'synced_at': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(1970, 1, 1, 0, 0)'}),
'version': ('django.db.models.fields.SmallIntegerField', [], {'default': '0'})
},
u'directory.lbereference': {
'Meta': {'object_name': 'LBEReference'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '24'}),
'objectAttribute': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['directory.LBEAttribute']"}),
'objectTemplate': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['directory.LBEObjectTemplate']"})
},
u'directory.lbescript': {
'Meta': {'object_name': 'LBEScript'},
'file': ('django.db.models.fields.CharField', [], {'max_length': '64'}),
'fileUpload': ('django.db.models.fields.files.FileField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '64'})
},
u'directory.log': {
'Meta': {'object_name': 'log'},
'date': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'level': ('django.db.models.fields.CharField', [], {'max_length': '24'}),
'message': ('django.db.models.fields.TextField', [], {}),
'type': ('django.db.models.fields.CharField', [], {'max_length': '32'})
}
}
complete_apps = ['directory'] | [
"cedj@cedj-laptop.(none)"
] | cedj@cedj-laptop.(none) |
13430845d2ca525cb61a4dc18921f0c62413a541 | 8120de23544539547dc1dbfccc90fc2fa3ead4cf | /application.py | 8efcbedcd890a5d999936db485c2137e0ff36889 | [] | no_license | mxchhh/ApartmentFinder | fba1c51a0b7cc8bd5df8e673af24ca96d816f53f | 26f72f561070918c476e049a7732ee42213df186 | refs/heads/master | 2022-03-01T09:03:59.291180 | 2017-07-01T05:34:59 | 2017-07-01T05:34:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 831 | py | # Apartment_finder
from ziroomFinder import getMetaDataFromZiroom
from dataHandler import handle
pages = set()
apartment = dict()
def getApartment(site_url):
if len(apartment) >= 10:
return
# get Data
room_metadata, internalLinks = getMetaDataFromZiroom(site_url)
if not room_metadata and not internalLinks:
return
# handle Data
print(room_metadata)
filteredData = handle(room_metadata)
print(filteredData)
if filteredData:
apartment[filteredData['room_name']] = filteredData
# handle internalLinks
for link in internalLinks:
if link not in pages:
pages.add(link)
getApartment(link)
getApartment('http://www.ziroom.com/z/vr/60224893.html')
print('Apartment:')
print(apartment)
print('Pages:')
print(pages)
| [
"[email protected]"
] | |
13055531a6abceadd0cd1adfd7d71c02c8db10e2 | 94db0ec8ec5123aa7dad5980cad0b5acb9e59e97 | /mysite/polls/models.py | 9e9e2e5421eabe26e224e3b2316d644a4c9257e1 | [] | no_license | declau/django-project | d64325c3fecda73a3d78019cab0d0c758ebba39b | 6c11d59d57a1112520a73cd2507b3a01a292841b | refs/heads/master | 2023-02-17T20:51:20.308351 | 2021-01-07T21:28:29 | 2021-01-07T21:28:29 | 327,728,604 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 732 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
from django.db import models
from django.utils import timezone
# Create your models here.
class Question(models.Model):
question_text = models.CharField(max_length=200)
pub_date = models.DateTimeField('date published')
def __str__(self):
return self.question_text
def was_published_recently(self):
return self.pub_date >= timezone.now() - datetime.timedelta(days=1)
class Choice(models.Model):
question = models.ForeignKey(Question, on_delete=models.CASCADE)
choice_text = models.CharField(max_length=200)
votes = models.IntegerField(default=0)
def __str__(self):
return self.choice_text
| [
"[email protected]"
] | |
2f62bfdeb52fe5869907175451209360faaa6b02 | 7411fc55b41eee02348cd7ce85f0a99f67bad1b7 | /assyrianproject/settings.py | 9db724d1ac0a83b1bfaec1d2e4bae63e1a1b8170 | [] | no_license | bmackley/assyrianproject | 6970ccd1a074b3bea6dd2371910b47eed2205fe5 | 5dd5a3b50fceb8c3eb7c345f5afadbfb7e3d177d | refs/heads/master | 2021-03-24T10:15:57.156999 | 2015-10-27T19:58:24 | 2015-10-27T19:58:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,117 | py | """
Django settings for assyrianproject project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.7/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'n(!cj_2$jy6s3q!_m31j)==v7$24c_*6x1w06#z3e^f^a_rm!v'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
)
ROOT_URLCONF = 'assyrianproject.urls'
WSGI_APPLICATION = 'assyrianproject.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.7/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Internationalization
# https://docs.djangoproject.com/en/1.7/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.7/howto/static-files/
STATIC_URL = '/static/'
STATIC_ROOT = os.path.join(BASE_DIR, "static/")
| [
"[email protected]"
] | |
d0513fd6719c9056ff309f680012fb1037dad3a9 | a1d30d970d885841aa3f4dfba64393007f683c2e | /maintest2.py | cb6ed0b6ec6dfbb889d29f1e618ae62569721bce | [] | no_license | gpforad0/test12 | ca35c02266c86a3e386b2d01e5d7d5ba2787d1a2 | 55dddf9cd5b31aa172b9e83cde2b7be1a0fc5d71 | refs/heads/master | 2022-04-21T20:22:45.798574 | 2020-04-14T16:10:43 | 2020-04-14T16:10:43 | 255,658,296 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,043 | py | import subprocess
username = None
email = None
repopath = None
def set():
if (username and email and repopath)!=None:
#a= input('go ahead ')
cmd1 = ['git', 'config', '--global', 'user.name', f"{username}"]
p1 = subprocess.run(cmd1, capture_output=True, shell=True, text=True)
print(p1.stdout)
#a = input('username done: ')
cmd2 = ['git', 'config', '--global', 'user.email', f"{email}"]
p2 = subprocess.run(cmd2, capture_output=True, shell=True, text=True)
print(p2.stdout)
#a = input('email done: ')
cmd3 = ['git', 'init']
p3 = subprocess.run(cmd3, capture_output=True, shell=True, text=True)
print(p3.stdout)
#a = input('git init done: ')
cmd4 = ['git', 'add', '.']
cmd41 = ['git', 'reset', 'maintest.py']
p4 = subprocess.run(cmd4, capture_output=True, shell=True, text=True)
p41 = subprocess.run(cmd41, capture_output=True, shell=True, text=True)
print(p4.stdout)
print(p41.stdout)
#a = input('git add . done: ')
cmd5 = ['git', 'commit', '-m', "my first commit"]
p5 = subprocess.run(cmd5, capture_output=True, shell=True, text=True)
print(p5.stdout)
#a = input('my first commint done: ')
# cmd6 = ['get', 'status']
# p6 = subprocess.run(cmd6, capture_output=True, shell=True, text=True)
# print(p6.stdout, p6.returncode)
#
# a = input('get status done: ')
cmd7 = repopath.split()
p7 = subprocess.run(cmd7, capture_output=True, shell=True, text=True)
print(p7.stdout)
#a = input('push link1 done: ')
cmd8 = ['git', 'push', '-u', 'origin', 'master']
p8 = subprocess.run(cmd8, capture_output=True, shell=True, text=True)
print(p8.stdout)
a = input('push link2 done: ')
else:
print('Before you start you need to set your username,email and repopath')
if __name__ == '__main__':
set() | [
"[email protected]"
] | |
0e66980720fb1babebc395504c705fb5e85fa0c7 | 42975fb137a193664141cfd6eb95eb7d2e470bfc | /django_discount/migrations/0003_auto_20201202_0203.py | e95651c86c405048dc468f4882afc40370197890 | [
"Apache-2.0"
] | permissive | Execut3/django-discount | cfbf8b8acb82fe05468c8d225df653341caae26c | 36dd54d7e77f804500bfda38fc2f1c398bdc5e38 | refs/heads/master | 2023-01-24T16:10:45.090724 | 2020-12-02T02:57:01 | 2020-12-02T02:57:01 | 296,426,849 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,610 | py | # Generated by Django 2.2.5 on 2020-12-02 02:03
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('django_discount', '0002_auto_20201201_1425'),
]
operations = [
migrations.AddField(
model_name='discount',
name='user',
field=models.ForeignKey(blank=True, help_text="When empty discount will be used for everyone and should not be any duplicates. But if User set it can have discount's with different users and duplicate codes. And that specific discount will only be available for that user.", null=True, on_delete=django.db.models.deletion.CASCADE, related_name='discounts', to=settings.AUTH_USER_MODEL, verbose_name='Specific user to use this discount'),
),
migrations.AlterField(
model_name='discount',
name='code',
field=models.CharField(db_index=True, max_length=20, verbose_name='Code'),
),
migrations.AlterField(
model_name='discount',
name='is_deleted',
field=models.BooleanField(db_index=True, default=False, verbose_name='حذف شد'),
),
migrations.AlterField(
model_name='useddiscount',
name='user',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='used_discounts', to=settings.AUTH_USER_MODEL, verbose_name='User who used discount code'),
),
]
| [
"[email protected]"
] | |
4c0d2584c7012446ee243ae4866ec1d90ff14080 | f1caea3c20f9f2142f0d64f5eec2785d0632b0f2 | /lb3/p8.py | c5dbaa4777f56d3f9cfead86805112a85035a064 | [] | no_license | MeetGandhi/Computing | 6b47d10a1f81986d9532b5871aff39286fc326e4 | 66d87da5052b527950586a14444db782c363bb1e | refs/heads/master | 2020-04-02T06:51:03.740737 | 2018-10-22T16:20:37 | 2018-10-22T16:20:37 | 154,171,309 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 959 | py | Python 2.7.3 (default, Jun 22 2015, 19:33:41)
[GCC 4.6.3] on linux2
Type "copyright", "credits" or "license()" for more information.
==== No Subprocess ====
>>> tup=1,5,3,6
>>> tup[3]
6
>>> len(tup)
4
>>> fruit="banana"
>>> print fruit[1]
a
>>> print[10]
[10]
>>> print fruit[10]
Traceback (most recent call last):
File "<pyshell#6>", line 1, in <module>
print fruit[10]
IndexError: string index out of range
>>> print fruit[1.5]
Traceback (most recent call last):
File "<pyshell#7>", line 1, in <module>
print fruit[1.5]
TypeError: string indices must be integers, not float
>>> print fruit[-2] #[length-2]
n
>>> print fruit[-100]
Traceback (most recent call last):
File "<pyshell#9>", line 1, in <module>
print fruit[-100]
IndexError: string index out of range
>>> print fruit[len(fruit)]
Traceback (most recent call last):
File "<pyshell#10>", line 1, in <module>
print fruit[len(fruit)]
IndexError: string index out of range
>>>
| [
"[email protected]"
] | |
0a5e2afdb2c942e1e056d5bb0ed958e059eeff21 | 56de20f6054038f8ea574962cf87ffb4db7d31ee | /api/permissions.py | c6189c3ed9324d395a03960060380f476fe489d1 | [] | no_license | docker581/api_final_yatube | e5797cac4f3c1be7b79f8f6f9d4d14778a419fe4 | 2f7d29cc1630c8950be0cd654704cd2dc3844570 | refs/heads/master | 2023-05-30T16:19:15.323579 | 2021-06-23T23:51:11 | 2021-06-23T23:51:11 | 323,850,968 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 246 | py | from rest_framework.permissions import BasePermission, SAFE_METHODS
class IsOwnerOrReadOnly(BasePermission):
def has_object_permission(self, request, view, obj):
return (request.method in SAFE_METHODS or obj.author == request.user)
| [
"[email protected]"
] | |
addaf7b5f4c9162502909af086845fc825a3b5df | b13c661160b4e371b746140e00a34bb9ab8f1db9 | /lib/chardet/universaldetector.py | c822aa75c21b4b66089d7098bc60b7fc7e15ee8a | [] | no_license | SainXIII/spider_EX | 6c3b8123123be53dde60988c71813b48da6502eb | f08b28d08147647ceb97eba2680ed441430f1941 | refs/heads/master | 2021-01-16T20:34:29.911720 | 2013-03-08T12:53:06 | 2013-03-08T12:53:06 | 9,028,713 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,673 | py | ######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Universal charset detector code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 2001
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
# Shy Shalom - original C code
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
import constants, sys
from latin1prober import Latin1Prober # windows-1252
from mbcsgroupprober import MBCSGroupProber # multi-byte character sets
from sbcsgroupprober import SBCSGroupProber # single-byte character sets
from escprober import EscCharSetProber # ISO-2122, etc.
import re
import logging
logger = logging.getLogger(__name__)
MINIMUM_THRESHOLD = 0.20
ePureAscii = 0
eEscAscii = 1
eHighbyte = 2
class UniversalDetector:
def __init__(self):
self._highBitDetector = re.compile(r'[\x80-\xFF]')
self._escDetector = re.compile(r'(\033|~{)')
self._mEscCharSetProber = None
self._mCharSetProbers = []
self.reset()
def reset(self):
self.result = {'encoding': None, 'confidence': 0.0}
self.done = constants.False
self._mStart = constants.True
self._mGotData = constants.False
self._mInputState = ePureAscii
self._mLastChar = ''
if self._mEscCharSetProber:
self._mEscCharSetProber.reset()
for prober in self._mCharSetProbers:
prober.reset()
def feed(self, aBuf):
if self.done: return
charmap = (
# EF BB BF UTF-8 with BOM
('\xEF\xBB\xBF', {'encoding': "UTF-8", 'confidence': 1.0}),
# FF FE 00 00 UTF-32, little-endian BOM
('\xFF\xFE\x00\x00', {'encoding': "UTF-32LE", 'confidence': 1.0}),
# 00 00 FE FF UTF-32, big-endian BOM
('\x00\x00\xFE\xFF', {'encoding': "UTF-32BE", 'confidence': 1.0}),
# FE FF 00 00 UCS-4, unusual octet order BOM (3412)
(u'\xFE\xFF\x00\x00', {'encoding': "X-ISO-10646-UCS-4-3412", 'confidence': 1.0}),
# 00 00 FF FE UCS-4, unusual octet order BOM (2143)
(u'\x00\x00\xFF\xFE', {'encoding': "X-ISO-10646-UCS-4-2143", 'confidence': 1.0}),
# FF FE UTF-16, little endian BOM
('\xFF\xFE', {'encoding': "UTF-16LE", 'confidence': 1.0}),
# FE FF UTF-16, big endian BOM
('\xFE\xFF', {'encoding': "UTF-16BE", 'confidence': 1.0}),
)
aLen = len(aBuf)
if not aLen: return
if not self._mGotData:
# If the data starts with BOM, we know it is UTF
for chunk, result in charmap:
if aBuf[:len(chunk)] == chunk:
self.result = result
break
self._mGotData = constants.True
if self.result['encoding'] and (self.result['confidence'] > 0.0):
self.done = constants.True
return
if self._mInputState == ePureAscii:
if self._highBitDetector.search(aBuf):
self._mInputState = eHighbyte
elif (self._mInputState == ePureAscii) and self._escDetector.search(self._mLastChar + aBuf):
self._mInputState = eEscAscii
self._mLastChar = aBuf[-1]
if self._mInputState == eEscAscii:
if not self._mEscCharSetProber:
self._mEscCharSetProber = EscCharSetProber()
if self._mEscCharSetProber.feed(aBuf) == constants.eFoundIt:
self.result = {'encoding': self._mEscCharSetProber.get_charset_name(),
'confidence': self._mEscCharSetProber.get_confidence()}
self.done = constants.True
elif self._mInputState == eHighbyte:
if not self._mCharSetProbers:
self._mCharSetProbers = [MBCSGroupProber(), SBCSGroupProber(), Latin1Prober()]
for prober in self._mCharSetProbers:
try:
if prober.feed(aBuf) == constants.eFoundIt:
self.result = {'encoding': prober.get_charset_name(),
'confidence': prober.get_confidence()}
self.done = constants.True
break
except (UnicodeDecodeError, UnicodeEncodeError), e:
logger.exception(e)
def close(self):
if self.done: return
if not self._mGotData:
if constants._debug:
sys.stderr.write('no data received!\n')
return
self.done = constants.True
if self._mInputState == ePureAscii:
self.result = {'encoding': 'ascii', 'confidence': 1.0}
return self.result
if self._mInputState == eHighbyte:
proberConfidence = None
maxProberConfidence = 0.0
maxProber = None
for prober in self._mCharSetProbers:
if not prober: continue
proberConfidence = prober.get_confidence()
if proberConfidence > maxProberConfidence:
maxProberConfidence = proberConfidence
maxProber = prober
if maxProber and (maxProberConfidence > MINIMUM_THRESHOLD):
self.result = {'encoding': maxProber.get_charset_name(),
'confidence': maxProber.get_confidence()}
return self.result
if constants._debug:
sys.stderr.write('no probers hit minimum threshhold\n')
for prober in self._mCharSetProbers[0].mProbers:
if not prober: continue
sys.stderr.write('%s confidence = %s\n' % \
(prober.get_charset_name(), \
prober.get_confidence()))
| [
"[email protected]"
] | |
56d4418f49587b67483e6f6aea9910e364b96abc | 5d174dec1d4bfa66c19922d46cd8149763124f50 | /Nedelja 4/nedelja 4.py | bd34aa00e0c13623706691ba044793ede34c5038 | [] | no_license | StevanCakic/ADIS-UDG | cc70c6ff7e5626f92dbb15a47461df84b5516ac2 | ab24eb945227cd537629aad63610b5efe0002a74 | refs/heads/master | 2020-12-27T04:34:46.977337 | 2020-04-21T11:12:54 | 2020-04-21T11:12:54 | 237,767,260 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,698 | py | # Dictionaries
my_dict = {"ime":"Marko", "prezime":"Markovic", "godine":30}
print(my_dict["ime"])
print(my_dict.get("adresa", "Default vrijednost"))
print(my_dict)
for key in my_dict:
print(key)
# Testirati metode
'''
Napisati funkciju koja omogucava korisniku da unese
n studenata (n parametar funkcije).
Svaki student se predstavlja kao dictionary oblika:
{ime, prezime, godina_studija, prosjek}.
Funkcija treba da vrati listu studenata.
'''
def unos_studenata(broj_studenata):
lista_studenata = []
for i in range(0, broj_studenata):
ime = input(f"Unesite ime {i+1}. studenta:")
prezime = input(f"Unesite prezime {i+1}. studenta:")
godina_studija = int(input(f"Unesite godinu studija {i+1}. studenta:"))
prosjek = float(input(f"Unesite prosjek {i+1}. studenta:"))
lista_studenata.append({"ime":ime, "prezime": prezime,
"godina_studija":godina_studija, "prosjek":prosjek})
return lista_studenata
#broj_studenata = int(input("Unesite broj studenata:"))
#lista_studenata = unos_studenata(broj_studenata).copy()
#print(lista_studenata)
'''
Napisati funkciju koja izdvaja one studente ciji je prosjek veci od zadatog.
Studenti i prosjek se zadaju kao parametari funkcije.
Funkcija treba da vrati studente koji zadovoljavaju zadati uslov.
Funkcije testirati
'''
def studenti_koji_zadovoljavaju_prosjek(studenti, prosjek):
studenti_sa_zadovoljavajucim_prosjekom = []
for student in studenti:
if student["prosjek"] > prosjek:
studenti_sa_zadovoljavajucim_prosjekom.append(student)
return studenti_sa_zadovoljavajucim_prosjekom
# print(studenti_koji_zadovoljavaju_prosjek(lista_studenata, 9))
# Napomena:
dictionary = {"ime": "A", "prezime": "B"}
if not "adresa" in dictionary:
dictionary["adresa"] = "Default"
# Skupovi
skup1 = {1,2,3}
skup1.add(4)
skup2 = {2,4,5}
print(skup1.intersection(skup2))
# List comprehension
squares = [i**2 for i in range(1, 101)]
print(squares)
movies = ['The Godfather', 'The Wizard of Oz', 'Citizen Kane',
'The Shawshank Redemption', 'Pulp Fiction']
movies_start_with_the = [movie.upper() for movie in movies if movie.startswith("The")]
print(movies_start_with_the)
movies = [('The Godfather', 1972, "crime"),
('The Wizard of Oz', 1939, "drama"),
('Citizen Kane', 1941, "drama"),
('The Shawshank Redemption', 1994, "drama"),
('Pulp Fiction', 1994, "triller")]
# Izdvojiti sve drama filmove (samo title) koji su snimljeni
# izmedju 1990 i 2000 godine
a = [title for (title, year, genre) in movies if 1990 <= year <= 2000 and genre=="drama"]
# Files | [
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] | |
f636bb6debfc8295e52665b86f20a2562cafb926 | 0738183e6ef9aad86c9542db2c01279ef966ef1f | /todo.py | eb71aa9f5ffce6ed0acce74cd568ba03e0a00721 | [] | no_license | MichaelAquilina/todolist | 0e01d2d0711e3d8784fde0db03066409c4876a05 | bbda21920c5284a2805c58daf7ffc5cc8de04c85 | refs/heads/master | 2016-09-03T07:08:20.214285 | 2014-12-26T19:24:57 | 2014-12-26T19:24:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,433 | py | #! /usr/bin/python3m
"""
Simple Todolist manager for the command line that allows you to view, add or mark tasks as complete
Author: Michael Aquilina 2014
"""
import re
import os
from collections import defaultdict
# TODO: Cleanup code
# Convert to class
# Add color terminal support
# Better Error Handling
# Allow deleting and inserting at 'all' selection
def show_todo_list(task_list, sections):
def show_section(section):
for index, task in enumerate(task_list.get(section, [])):
print('[%d] %s' % (index, task))
# Always display default first and don't show a heading
if 'default' in sections:
show_section('default')
# Follow the order specified in the command line
for section in sections:
if section != 'default':
print('> %s' % section)
show_section(section)
def write_todo(task_list, file_path):
"""
Writes a todolist formatted dictionary to file for reading at a later stage.
task_list dictionaries passed should contain lists of todo items organised by their
section name.
"""
with open(file_path, 'w') as f:
# Always write the default list on the top
for task in task_list['default']:
f.write('* %s\n' % task)
# Grab the list of all other sections
others = task_list.keys()
for section in others:
if section != 'default' and len(task_list[section]) > 0:
f.write('\n')
f.write('>%s\n' % section)
for task in task_list[section]:
f.write('* %s\n' % task)
def read_todo(file_path):
"""
Returns a dictionary of lists organised by their section. A 'default'
section is always available in the dictionary but does not guarantee the
list to have any contents
"""
task_list = defaultdict(list)
if not os.path.exists(file_path):
return task_list
# Read all data at one go for speed
with open(file_path, 'r') as f:
buffer = f.readlines()
current_section = 'default'
for line in buffer:
if line.startswith('>'):
# Clean up section names
current_section = line[1:]
current_section = current_section.strip()
current_section = current_section.lower()
task_list[current_section] = []
else:
# Attempt to match
m = re.match(r'\* (?P<data>.*)', line)
if m:
task_data = m.group('data')
task_list[current_section].append(task_data)
return task_list
def main(args):
# Begin Processing Here
tasks = read_todo(todo_path)
# If all specified then show all sections except completed
if 'all' in args.sections:
sections = set(tasks.keys()) - {'completed'}
else:
sections = args.sections
if args.edit:
import subprocess
editor = os.environ.get('EDITOR', 'vim')
subprocess.call([editor, todo_path])
return
if args.list:
print(' '.join(tasks.keys()))
return
# Command Line Options
if args.mark_complete:
if len(sections) > 1:
print('ERROR: Cannot mark task when specifying multiple sections')
else:
task_section = tasks[sections[0]]
for index in args.mark_complete:
if index < len(task_section):
target = task_section[index]
print('NOTE: Marked "%s" as complete' % target)
tasks['completed'].append(task_section[index])
task_section[index] = None
else:
print('ERROR: Invalid Index specified for "%s"' % sections[0])
tasks[sections[0]] = [task for task in task_section if task is not None]
write_todo(tasks, todo_path)
elif args.add_task:
if len(sections) > 1:
print('ERROR: Cannot add task when specifying multiple sections')
else:
task_section = tasks[sections[0]]
task_section.append(' '.join(args.add_task))
write_todo(tasks, todo_path)
elif args.delete:
if 'all' in args.sections:
print('ERROR: Cannot delete all!')
else:
print('Deleted sections: %s' % sections)
for i in range(len(sections)):
del tasks[sections[i]]
write_todo(tasks, todo_path)
sections = ['default']
print('Available: %s' % sorted(list(tasks.keys())))
show_todo_list(tasks, sections)
if __name__ == '__main__':
import argparse
todo_path = os.path.expanduser('~/todo.md')
parser = argparse.ArgumentParser(description='Simple Todo list manager written in Python')
parser.add_argument('sections', default=['default'], nargs='*')
parser.add_argument('-m', '--mark-complete', type=int, nargs='+', help='Marks a specified task as complete')
parser.add_argument('-a', '--add-task', type=str, nargs='+', help='Adds a task to a todo list')
parser.add_argument('-d', '--delete', action='store_true', help='Deletes the section specified')
parser.add_argument('-l', '--list', action='store_true', help='List available sections')
parser.add_argument('-e', '--edit', action='store_true', help='Edit the todo list with your default editor')
main(parser.parse_args())
| [
"[email protected]"
] | |
576e1a47c8ad60d389eab51896d31b10a3e2f261 | 48b9ad74000eadfefde0e47ba1335ad0523c2570 | /allure生成报告.py | f79ff2a2c6d6a22d3714dbb92a37a25c82b6ca66 | [] | no_license | bian-py/auto_wushiyin | e8c51d5a2dc6883ec5411db59d67ba49b0a7e171 | 6d86087057d745a9ce23401fdb47b338ed44dc11 | refs/heads/main | 2023-03-19T01:16:42.571088 | 2021-02-24T02:46:48 | 2021-02-24T02:46:48 | 341,464,419 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 71 | py |
import os
os.system("allure generate ./temp -o ./report --clean ")
| [
"[email protected]"
] | |
e5b742ab11bb3c20f4515313eeee5c3dc1ec5856 | a620793a2bf02a0bfe9e5c397bbf93264b52b397 | /e24.py | 50f108ebbb28650dc102e3cb05ecd341efaf03b9 | [] | no_license | nstudenski/project_euler | 6a80c3ea2df4a41d2f3b66224f967621ed6f7fd3 | fac4ba0882151fc2d2dba8043ed50c3f42ff9ef2 | refs/heads/master | 2020-09-16T20:58:49.465267 | 2018-10-19T18:59:31 | 2018-10-19T18:59:31 | 94,487,831 | 0 | 0 | null | 2017-06-16T00:00:41 | 2017-06-15T23:56:20 | null | UTF-8 | Python | false | false | 2,278 | py | ## runs in ~44 seconds
#import time
#start = time.time()
#ls = ["0","1","2","3","4","5","6","7","8","9"]
#result = []
#for a in ls:
# for b in ls:
# if b != a:
# for c in ls:
# if (c != b) & (c != a):
# for d in ls:
# if (d != c) & (d != b) & (d != a):
# for e in ls:
# if (e != d) & (e != c) & (e != b) & (e != a):
# for f in ls:
# if (f != e) & (f != d) & (f != c) & (f != b) & (f != a):
# for g in ls:
# if (g != f) & (g != e) & (g != d) & (g != c) & (g != b) & (g != a):
# for h in ls:
# if (h != g) & (h != f) & (h != e) & (h != d) & (h != c) & (h != b) & (h != a):
# for i in ls:
# if (i != h) & (i != g) & (i != f) & (i != e) & (i != d) & (i != c) & (i != b) & (i != a):
# for j in ls:
# if (j != i) & (j != h) & (j != g) & (j != f) & (j != e) & (j != d) & (j != c) & (j != b) & (j != a):
# result.append(a+b+c+d+e+f+g+h+i+j)
#print(time.time()-start)
# # finds answer of 2783915460
#
import time
begin = time.time()
import math
goal = 999999
def func(start,i,string,rem):
new = start + i * math.factorial(len(rem)-1)
if new < goal:
string = func(start,i+1,string,rem)
if new > goal:
string = string + rem[i-1]
start = start + (i-1) * math.factorial(len(rem)-1)
rem.remove(rem[i-1])
string = func(start,0,string,rem)
if new == goal:
for i in range(len(rem)):
string = string + rem[-(i+1)]
return string
start = 0
i = 0
n = 9
string = ""
rem = ["0","1","2","3","4","5","6","7","8","9"]
print(func(start,i,string,rem))
print(time.time()-begin)
| [
"[email protected]"
] | |
62a623c3b026eb915ebbe59d7275423aa5c2bcba | 8278cd4a4ba9d2f83118a2c0479390c2739e1437 | /net.py | 14e81ea727e5490c5c199b88a6b7af651e69bded | [] | no_license | tanikawa04/chord-suggester | c5d2c8161b198f97b0f29da956615550cb278737 | b849f7018da506e773817e2907b4d892c4605a5f | refs/heads/master | 2021-05-06T03:52:31.160327 | 2017-12-20T15:24:24 | 2017-12-20T15:24:24 | 114,889,425 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 710 | py | # coding: utf-8
import chainer
import chainer.functions as F
import chainer.links as L
class ChordNet(chainer.Chain):
def __init__(self, n_vocab, n_units):
super(ChordNet, self).__init__()
with self.init_scope():
self.embed = L.EmbedID(n_vocab, n_units, ignore_label=-1)
self.l1 = L.LSTM(n_units, n_units)
self.l2 = L.LSTM(n_units, n_units)
self.l3 = L.Linear(n_units, n_vocab)
def __call__(self, x):
h = self.embed(x)
h = self.l1(F.dropout(h))
h = self.l2(F.dropout(h))
h = self.l3(F.dropout(h))
return h
def reset_state(self):
self.l1.reset_state()
self.l2.reset_state()
| [
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] | |
421b66f6ef3e7e7d83145d3019251639dc42dda0 | fe8d12b82007523819e6183dcbd685509a1e6fd7 | /core/production.py | c6c23f4450ac1d015127078f840de4404b2ef34c | [] | no_license | flavien-hugs/kozondjango | a9a4187da43a1ac78df6f0fca819edfa834e1a17 | 56942bf0a839576848689bb853fead9d04aef892 | refs/heads/master | 2023-07-06T15:58:09.300856 | 2023-06-25T18:23:23 | 2023-06-25T18:23:23 | 270,191,214 | 2 | 1 | null | 2023-06-25T18:23:24 | 2020-06-07T04:25:32 | HTML | UTF-8 | Python | false | false | 405 | py | # -*- coding: utf-8 -*-
# core/production.py
import dj_database_url
from core.settings import *
DEBUG = TEMPLATE_DEBUG = False
# Parse database configuration from $DATABASE_URL
DATABASES['default'] = dj_database_url.config()
# Add configuration for static files storage using whitenoise
ALLOWED_HOSTS = ['*']
SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https')
USE_X_FORWARDED_HOST = True
| [
"[email protected]"
] | |
95ace5649c9e4e1037fc032d8c89f24fee6575ce | 76c9fbecb4db3694a3d00e4e8aeb9a0985500fe0 | /Day6/day6_p2.py | 35a2a0beeb2ffbaf5a49b03214c474d05679b48f | [] | no_license | parkour86/advent-of-code-2020 | e60215570af2d759815ada91a0fdde8cb0e6cbd1 | 6ad5206ac35fb8ab7c11808f346aee47b8ad3717 | refs/heads/main | 2023-01-30T21:48:15.455026 | 2020-12-14T04:30:08 | 2020-12-14T04:30:08 | 318,960,426 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 716 | py | with open('input.txt', 'r+') as file:
input = file.read().split('\n')
cnt = 0
newInput = []
for line in input:
if line != '':
newInput.append(line)
else:
flag = True
if len(newInput) > 1:
intercept = newInput[0]
for i in range(len(newInput)):
for j in range(1+i,len(newInput)):
intercept = set(intercept).intersection(newInput[j])
if intercept and flag:
flag = True
else:
flag = False
if flag:
cnt += len(intercept)
else:
cnt += len(newInput[0])
newInput.clear()
print(cnt)
| [
"[email protected]"
] | |
88adb50b6bbf3a1e70bc9d98be7d49fbaea570ee | d9d24332276b507feb005b934d228c24c5251db0 | /1xxx/1001.py | 98a17a43ba6342384dd613c2ca6f7ce3374ff2de | [] | no_license | akageun/baekjoon_py | b1b1920d30e76c91ef013a6264dab4bc29cf27b5 | 322c78c5936884f32c385e5cf8001542b798c8d5 | refs/heads/master | 2020-03-23T22:23:36.665665 | 2018-07-28T07:17:57 | 2018-07-28T07:17:57 | 142,173,209 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | ######################
#
# - 문제 : 두 정수 A와 B를 입력받은 다음, A-B를 출력하는 프로그램을 작성하시오.
# - URL : https://www.acmicpc.net/problem/1001
#
######################
def subtraction(first_num, sec_num):
return first_num - sec_num
if __name__ == "__main__":
arr = input().strip().split(" ")
print(subtraction(int(arr[0]), int(arr[1])))
| [
"[email protected]"
] | |
263c1e776721aa7f0e3969bc631af9841f29adf1 | 91da16548ec2a7826c33d52cee2087ec42476277 | /createcps.py | e45a2476bbe8f92824a5d816fa18634f63b14484 | [] | no_license | andersonfrailey/cpstaxunits | ec319413fff6745ee334d2e9e171b29a1525c2c2 | ca28e2f6fc9108644bcb089bc245ee729e1e0f68 | refs/heads/master | 2021-07-02T16:45:46.510937 | 2020-07-31T22:51:11 | 2020-07-31T22:51:11 | 101,076,555 | 1 | 1 | null | 2018-10-10T17:13:22 | 2017-08-22T15:12:45 | Python | UTF-8 | Python | false | false | 8,639 | py | """
Script to run all files that create the CPS file
"""
import pandas as pd
from cpsrets import Returns
from adj_filst import adjfilst
from assemble import assemble
from topcoding import topcoding
from imputetobit import imputation
from targets import targets
from blankslate import blankslate
from merge_benefits import BenefitMerge
import cpsmar_2013
import cpsmar_2014
import cpsmar_2015
import os
from dask import compute, delayed
def createcps():
"""
Logic for creating the CPS tax unit file
"""
# first check for the presense of the CPS files with benefits merged
cps13_merged = os.path.isfile('data/cps_2013_aug.csv')
cps14_merged = os.path.isfile('data/cps_2014_aug.csv')
cps15_merged = os.path.isfile('data/cps_2015_aug.csv')
# if the CSV CPS files are present, use those for the rest of the script
if cps13_merged and cps14_merged and cps15_merged:
print('Reading Data')
lazy_cps13 = delayed(pd.read_csv)('data/cps_2013_aug.csv')
lazy_cps14 = delayed(pd.read_csv)('data/cps_2014_aug.csv')
lazy_cps15 = delayed(pd.read_csv)('data/cps_2015_aug.csv')
lazy_read = [lazy_cps13, lazy_cps14, lazy_cps15]
cps13, cps14, cps15 = compute(*lazy_read)
else:
cps13_raw = os.path.isfile('data/cpsmar2013.csv')
cps14_raw = os.path.isfile('data/cpsmar2014.csv')
cps15_raw = os.path.isfile('data/cpamar2015.csv')
# if raw files are available, simply read them in
if cps13_raw and cps14_raw and cps15_raw:
lazy_cps13 = pd.read_csv('data/cpsmar2013.csv')
lazy_cps14 = pd.read_csv('data/cpsmar2014.csv')
lazy_cps15 = pd.read_csv('data/cpsmar2015.csv')
lazy_read = [lazy_cps13, lazy_cps14, lazy_cps15]
raw_13, raw_14, raw_15 = compute(*lazy_read)
# otherwise create the raw cps files from the .DAT files
else:
cps13_dat = os.path.isfile('data/asec2013_pubuse.dat')
dat_2014_path = 'data/asec2014_pubuse_tax_fix_5x8_2017.dat'
cps14_dat = os.path.isfile(dat_2014_path)
cps15_dat = os.path.isfile('data/asec2015_pubuse.dat')
if cps13_dat and cps14_dat and cps15_dat:
print('Converting CPS Files from .DAT to .CSV')
# stage creation scripts to run in parallel
path_2013 = 'data/asec2013_pubuse.dat'
raw_13 = cpsmar_2013.create_cps(path_2013)
path_2014 = 'data/asec2014_pubuse_tax_fix_5x8_2017.dat'
raw_14 = cpsmar_2014.create_cps(path_2014)
path_2015 = 'data/asec2015_pubuse.dat'
raw_15 = cpsmar_2015.create_cps(path_2015)
else:
msg = ('CPS file(s) not found.' +
'You must have either CSV files for the 2013, 2014,' +
' and 2015 CPS files augmented with C-TAM imputed' +
' benefits or the raw DAT formatted versions of the' +
' CPS, availablefrom NBER')
raise IOError(msg)
# merge C-TAM imputed benefits
print('Merging Benefits')
cps13, cps14, cps15 = BenefitMerge(raw_13, raw_14, raw_15)
print('Creating Tax Units for 2013 CPS')
rets2013 = Returns(cps13, 2013)
taxunits13 = rets2013.computation()
print('Creating Tax Units for 2014 CPS')
rets2014 = Returns(cps14, 2014)
taxunits14 = rets2014.computation()
print('Creating Tax Units for 2015 CPS')
rets2015 = Returns(cps15, 2015)
taxunits15 = rets2015.computation()
del cps13, cps14, cps15
print('Adjusting Files')
lazy_taxunits13_adj = delayed(adjfilst)(taxunits13)
lazy_taxunits14_adj = delayed(adjfilst)(taxunits14)
lazy_taxunits15_adj = delayed(adjfilst)(taxunits15)
lazy_adjustments = [lazy_taxunits13_adj, lazy_taxunits14_adj,
lazy_taxunits15_adj]
taxunits13_adj, taxunits14_adj, taxunits15_adj = compute(*lazy_adjustments)
taxunits13_adj.to_csv('taxunits13.csv', index=None)
taxunits14_adj.to_csv('taxunits14.csv', index=None)
taxunits15_adj.to_csv('taxunits15.csv', index=None)
del taxunits13, taxunits14, taxunits15
print('Assembling File')
full_taxunits = assemble(taxunits13_adj, taxunits14_adj, taxunits15_adj)
full_taxunits.to_csv('fullunits.csv', index=None)
del taxunits13_adj, taxunits14_adj, taxunits15_adj
print('Adjusting for Top Coding')
cps_tc = topcoding(full_taxunits)
cps_tc.to_csv('topcoding.csv', index=None)
del full_taxunits
print('Imputing Deductions')
# read in beta coefficients used in imputations
logit_betas = pd.read_csv('data/logit_betas.csv', index_col=0)
ols_betas = pd.read_csv('data/ols_betas.csv', index_col=0)
tobit_betas = pd.read_csv('data/tobit_betas.csv', index_col=0)
# impute
cps_v2 = imputation(cps_tc, logit_betas, ols_betas, tobit_betas)
cps_v2.to_csv('postimputation.csv', index=None)
del cps_tc
print('Adjusting for State Targets')
state_targets = pd.read_csv('data/agg_state_data.csv', index_col='STATE')
cps_v3 = targets(cps_v2, state_targets)
cps_v3.to_csv('posttargeting.csv', index=None)
del cps_v2
print('Blank Slate Imputations')
blankslate(cps_v3)
print('Renaming Variables')
rename = {'MCAID_PROB1': 'MEDICAID_PROB1',
'MCAID_PROB10': 'MEDICAID_PROB10',
'MCAID_PROB11': 'MEDICAID_PROB11',
'MCAID_PROB12': 'MEDICAID_PROB12',
'MCAID_PROB13': 'MEDICAID_PROB13',
'MCAID_PROB14': 'MEDICAID_PROB14',
'MCAID_PROB15': 'MEDICAID_PROB15',
'MCAID_PROB2': 'MEDICAID_PROB2',
'MCAID_PROB3': 'MEDICAID_PROB3',
'MCAID_PROB4': 'MEDICAID_PROB4',
'MCAID_PROB5': 'MEDICAID_PROB5',
'MCAID_PROB6': 'MEDICAID_PROB6',
'MCAID_PROB7': 'MEDICAID_PROB7',
'MCAID_PROB8': 'MEDICAID_PROB8',
'MCAID_PROB9': 'MEDICAID_PROB9',
'MCAID_VAL1': 'MEDICAID_VAL1',
'MCAID_VAL10': 'MEDICAID_VAL10',
'MCAID_VAL11': 'MEDICAID_VAL11',
'MCAID_VAL12': 'MEDICAID_VAL12',
'MCAID_VAL13': 'MEDICAID_VAL13',
'MCAID_VAL14': 'MEDICAID_VAL14',
'MCAID_VAL15': 'MEDICAID_VAL15',
'MCAID_VAL2': 'MEDICAID_VAL2',
'MCAID_VAL3': 'MEDICAID_VAL3',
'MCAID_VAL4': 'MEDICAID_VAL4',
'MCAID_VAL5': 'MEDICAID_VAL5',
'MCAID_VAL6': 'MEDICAID_VAL6',
'MCAID_VAL7': 'MEDICAID_VAL7',
'MCAID_VAL8': 'MEDICAID_VAL8',
'MCAID_VAL9': 'MEDICAID_VAL9',
'MCARE_PROB1': 'MEDICARE_PROB1',
'MCARE_PROB10': 'MEDICARE_PROB10',
'MCARE_PROB11': 'MEDICARE_PROB11',
'MCARE_PROB12': 'MEDICARE_PROB12',
'MCARE_PROB13': 'MEDICARE_PROB13',
'MCARE_PROB14': 'MEDICARE_PROB14',
'MCARE_PROB15': 'MEDICARE_PROB15',
'MCARE_PROB2': 'MEDICARE_PROB2',
'MCARE_PROB3': 'MEDICARE_PROB3',
'MCARE_PROB4': 'MEDICARE_PROB4',
'MCARE_PROB5': 'MEDICARE_PROB5',
'MCARE_PROB6': 'MEDICARE_PROB6',
'MCARE_PROB7': 'MEDICARE_PROB7',
'MCARE_PROB8': 'MEDICARE_PROB8',
'MCARE_PROB9': 'MEDICARE_PROB9',
'MCARE_VAL1': 'MEDICARE_VAL1',
'MCARE_VAL10': 'MEDICARE_VAL10',
'MCARE_VAL11': 'MEDICARE_VAL11',
'MCARE_VAL12': 'MEDICARE_VAL12',
'MCARE_VAL13': 'MEDICARE_VAL13',
'MCARE_VAL14': 'MEDICARE_VAL14',
'MCARE_VAL15': 'MEDICARE_VAL15',
'MCARE_VAL2': 'MEDICARE_VAL2',
'MCARE_VAL3': 'MEDICARE_VAL3',
'MCARE_VAL4': 'MEDICARE_VAL4',
'MCARE_VAL5': 'MEDICARE_VAL5',
'MCARE_VAL6': 'MEDICARE_VAL6',
'MCARE_VAL7': 'MEDICARE_VAL7',
'MCARE_VAL8': 'MEDICARE_VAL8',
'MCARE_VAL9': 'MEDICARE_VAL9',
'SSI': 'ssi_ben',
'VB': 'vb_ben',
'MEDICARE': 'medicare_ben',
'MEDICAID': 'medicaid_ben',
'SS': 'ss_ben',
'SNAP': 'snap_ben',
'WT': 's006'}
cps_final = cps_v3.rename(columns=rename)
del cps_v3
# export and compress data
print('Exporting and Compressing Data')
cps_final.to_csv('cps_raw_new.csv.gz', index=False, compression='gzip')
if __name__ == '__main__':
createcps()
| [
"[email protected]"
] | |
3335428952a4716954b8585f6e26d5212fef7019 | 1e584b456f2dade32330aa7adcab669202346de0 | /Ventas/migrations/0001_initial.py | 0bd6f0d72085edb40348ad9ea7e32392b753e98d | [] | no_license | elisammg/Python-Ventas-Src | f3ec38f65cc321bd70e5d14bf3636fa29b75d382 | 0cf0c25a2e892f593b9864ad567c0e9bd01b265c | refs/heads/master | 2022-12-16T02:02:39.433588 | 2020-09-01T04:47:44 | 2020-09-01T04:47:44 | 291,898,571 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,760 | py | # Generated by Django 2.2 on 2020-05-27 01:14
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('Fabricas', '0001_initial'),
('Cientes', '0001_initial'),
('Repuestos', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Tipo_Venta',
fields=[
('Tipo_Venta', models.AutoField(primary_key=True, serialize=False)),
('Nombre', models.CharField(max_length=200)),
],
),
migrations.CreateModel(
name='Usuario',
fields=[
('ID_USUARIO', models.AutoField(primary_key=True, serialize=False)),
('Nombre', models.CharField(max_length=100)),
('Usuario', models.CharField(max_length=100)),
('Password', models.CharField(max_length=100)),
('Rol', models.CharField(choices=[('Administrador', 'Administrador'), ('Vendedor', 'Vendedor')], max_length=100)),
],
),
migrations.CreateModel(
name='Ventas',
fields=[
('Codigo_Venta', models.AutoField(primary_key=True, serialize=False)),
('Fabricante', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='Fabricas.FABRICA')),
('Tipo_Venta', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='Ventas.Tipo_Venta')),
],
),
migrations.CreateModel(
name='FACTURA',
fields=[
('Numero_Factura', models.AutoField(primary_key=True, serialize=False)),
('Total', models.DecimalField(decimal_places=2, default=0.0, max_digits=6)),
('Estado', models.CharField(max_length=200)),
('Cliente', models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, to='Cientes.Clientes')),
],
),
migrations.CreateModel(
name='Detalle_Venta',
fields=[
('Codigo', models.AutoField(primary_key=True, serialize=False)),
('Cantidad', models.IntegerField(default=0)),
('Sub_Total', models.DecimalField(decimal_places=2, default=0.0, max_digits=6)),
('Factura', models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, to='Ventas.FACTURA')),
('Repuesto', models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, to='Repuestos.REPUESTOS')),
('Venta', models.ForeignKey(default=0, on_delete=django.db.models.deletion.CASCADE, to='Ventas.Ventas')),
],
),
]
| [
"[email protected]"
] | |
684940015c3c66e7ec8f8ea1bc1d7ca3bf133ab6 | 43f6dd9fbb3c760a07a7c1961811c6ef6660a1fe | /python/Python/Activity1.py | 23aad7b895cacf12ce21e3fa7d079766f63bf671 | [] | no_license | surendramailishere/FST-M1 | b43a3adab7008662fb436a7b32e3c440c2e78b15 | e9c1172b7eb29e7504867ffbbe274efad29a67fd | refs/heads/main | 2023-05-31T01:18:46.282971 | 2021-07-10T04:58:32 | 2021-07-10T04:58:32 | 368,394,478 | 0 | 0 | null | 2021-05-18T03:54:31 | 2021-05-18T03:54:31 | null | UTF-8 | Python | false | false | 175 | py | name = input( "What is your name: " )
age = int( input( "How old are you: " ) )
year = str( ( 2020 - age ) + 100 )
print( name + " will be 100 years old in the year " + year ) | [
"[email protected]"
] | |
af0bc4e2ffafa311474d941bfa02b2679773dbee | 56a3d36ea1cb52183c32dc4d15aadcc78e29889e | /test_rest/urls.py | 61af6c2894fbe52eaf31e3bc70ff02c9409f8169 | [] | no_license | AlisaLC/yektanet_rest | 18b20a0a7e38e6f73573593b7767f8bdc6d75973 | b8ef4bf20c3535a1720a8cf982a3c61f66e4c49b | refs/heads/master | 2023-08-26T07:55:29.991086 | 2021-09-28T14:55:04 | 2021-09-28T14:55:04 | 411,321,148 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,755 | py | """test_rest URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.urls import include, path
from rest_framework import routers
from applicant.views import ApplicantRegisterView, ApplicantRetrieveUpdateView
from employer.views import EmployerRegisterView, EmployerRetrieveUpdateView
from job.views import JobAdRegisterView, JobAdRetrieveUpdateView, JobApplicationRegisterView, ApplicantJobAdListView
router = routers.DefaultRouter()
# Wire up our API using automatic URL routing.
# Additionally, we include login URLs for the browsable API.
urlpatterns = [
path('', include(router.urls)),
path('applicant/new', ApplicantRegisterView.as_view()),
path('applicant/<int:pk>/', ApplicantRetrieveUpdateView.as_view()),
path('employer/new', EmployerRegisterView.as_view()),
path('employer/<int:pk>/', EmployerRetrieveUpdateView.as_view()),
path('job/new', JobAdRegisterView.as_view()),
path('job/<int:pk>/', JobAdRetrieveUpdateView.as_view()),
path('job/<int:pk>/apply', JobApplicationRegisterView.as_view()),
path('job/all', ApplicantJobAdListView.as_view()),
path('api-auth/', include('rest_framework.urls', namespace='rest_framework'))
]
| [
"[email protected]"
] | |
bc2b058df735eb41e195f9039cfb1940feaa9469 | 355446ae3ee0ebff46690498e4454cdfb9b927be | /ChirpAnalyzer/multiAnlayzeSymbolRate.py | 4809692c86b19bab6f3359215ff576cfb45ec8bb | [] | no_license | zxs1652/ChirpAnalyzer | 33b413687361c50e92a9b56f8905a169178f2ff2 | 73289d8adb37fb57da23e51cd48a7bbe42091262 | refs/heads/master | 2022-11-04T23:06:30.908195 | 2020-06-12T10:48:51 | 2020-06-12T10:48:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,854 | py | from scipy.signal import chirp, sweep_poly, spectrogram, welch
from scipy.special import factorial
import scipy.signal as signal
import numpy as np
import random
import rftool.radar as radar
import rftool.utility as util
import rftool.estimation as estimate
import rftool.communications as comm
from utility import *
import matplotlib.pyplot as plt
import matplotlib as mpl
import pickle
#import os
Debug = False
Fs = np.intc(802e3) # Receiver sample rate. #! Must be the same as the signals
T = np.float(6e-3) # Pulse duration. #! Must be the same as the signals
nIterations = 500
packetSize = 32
# Load alpha window function a-priori
path = '../jobs/'
filename = 'SCD_GMM'
destination = path + filename + '.pkl'
with open(destination,'rb') as f:
alphaWindow = pickle.load(f)
# Plot results
import matplotlib.pyplot as plt
plt.style.use('masterThesis')
import matplotlib
imagePath = '../figures/symRateEst/'
if Debug==False:
mpl.use("pgf")
mpl.rcParams.update({
"pgf.texsystem": "lualatex",
'font.family': 'serif',
'text.usetex': True,
'pgf.rcfonts': False,
})
# Compare the method of
def symbolrateAutocorr(sig, Fs, **kwargs):
Rxx = np.abs(signal.correlate(sig, sig, mode='full', method='fft'))
f0 = estimate.f0MleTime(Rxx=Rxx, f=Fs, peaks=5)
return f0
# Wrapper for estimation function
def symbolRateEstimator(sig, Fs, aPrioriFCenter=False, **kwargs):
# Ensure that the true center frequency is only used in the intended case
if aPrioriFCenter==False:
kwargs.pop('fCenterPriori') # removes fCenterPriori from kwargs library
SCD, f, alpha = estimate.FAM(sig, Fs = Fs, plot=False, method='conj', scale='linear', **kwargs)
fCenter, R_symb = estimate.cyclicEstimator( SCD, f, alpha, **kwargs)
return R_symb
# Configure estimators
estimators = []
estimators.append(estimator('Autocorrelation MLE', symbolrateAutocorr, Fs=Fs))
estimators.append(estimator('Cyclic MLE Method', symbolRateEstimator, Fs=Fs))
estimators.append(estimator('Cyclic MLE Method, Full BW', symbolRateEstimator, Fs=Fs, bandLimited=False))
estimators.append(estimator('Cyclic MLE A-Priori $f_c$', symbolRateEstimator, aPrioriFCenter=True, Fs=Fs))
estimators.append(estimator('Cyclic MLE A-Priori $f_c$, $\Omega$', symbolRateEstimator, aPrioriFCenter=True, Fs=Fs, alphaWindow=alphaWindow, fWindow='triangle', fWindowWidthHertz=50e3))
# Create analysis object
m_analysis = analysis('Symbol_Rate_Estimation', estimators=estimators, lossFcn='MAE')
# Generate Eb/N0 range for statistics gathering.
EbN0Start = 40
EbN0End = 10
m_analysis.axis.displayName = '$E_b/N_0$ [dB]'
m_analysis.axis.displayVector = np.linspace(EbN0End, EbN0Start, EbN0Start-EbN0End+1)
m_analysis.axis.name = 'S/N [dB]'
m_analysis.axis.vector = comm.EbN0toSNRdB(m_analysis.axis.displayVector, 2, Fs, 1/T)
m_analysis.analyze(iterations=nIterations, parameter='symbolRate', packetSize=packetSize, debug=Debug)
# Write to binary file
path = '../jobs/'
jobname = 'SRateJob'
destination = path + jobname + str(m_analysis.iterations) + '.pkl'
# Save job to binary file
with open(destination,'wb') as f:
pickle.dump(m_analysis, f)
iterations = nIterations #! Must be same as job file
"""
# Read from binary file
path = '../jobs/'
jobname = 'SRateJob'
destination = path + jobname + str(iterations) + '.pkl'
with open(destination,'rb') as f:
m_analysis = pickle.load(f)"""
fig, ax = m_analysis.plotResults(pgf=not Debug, scale='semilogy', plotYlabel='MAE [Hz]')
ax.legend(loc='upper right')
#fig.set_figheight(2.5)
plt.tight_layout()
if Debug == False:
fileName = m_analysis.name +'_'+ str(iterations) + '_iterations' # str(m_analysis.iterations)
plt.savefig(imagePath + fileName + '.png', bbox_inches='tight')
plt.savefig(imagePath + fileName + '.pgf', bbox_inches='tight')
plt.show() | [
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] | |
10edb8f316551d6e473ca183fa6522c0ce770e04 | f08a30264ca141f9809db3090e4852731b630a84 | /ml-notebook-to-prod/examples/housingExample/housepriceapi/housepriceapi/api/__init__.py | 0abadf0f5a11a4de8836b475840a3b14a960304d | [
"MIT"
] | permissive | gbourdin/charlas | a1ee42f3e2f8aef9d8754a6a5b84537055f877db | bae889b140be945ff55a511518c771ff47f62e95 | refs/heads/master | 2020-06-04T06:26:56.905694 | 2018-11-28T00:52:25 | 2018-11-28T00:52:25 | 20,316,818 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 87 | py | from .predict import blueprint as predict_blueprint
__all__ = ['predict_blueprint', ]
| [
"[email protected]"
] | |
7404d07e1d9558b3f178f1c18b297e993c68d9ac | 3af0629755124faaa4d229b3f443d9469282d6e5 | /Exercises/Exe7.py | d938e113f4134879d39193d221c8f3451c61db27 | [] | no_license | Cmaanjunatha/ProjectHUB | 389eaf7a1521731e0dbbb64685a5dfdae1b521d7 | ae50111ce2cea02b0050eb6706255f11b32ac70b | refs/heads/master | 2022-12-10T12:19:20.967923 | 2019-12-31T02:18:54 | 2019-12-31T02:18:54 | 225,866,977 | 0 | 0 | null | 2022-12-08T01:11:34 | 2019-12-04T12:53:36 | Python | UTF-8 | Python | false | false | 100 | py | def fun(r):
for i in range(r):
#print(i, end="")
print(' '* r-complex-1)
fun(9) | [
"[email protected]"
] | |
f04f64ae1e0b8f6e6b82d80ebfa78d311e209e3f | 014d6ee96640b7d7fdeb2f11f4b0b34cf52a48ee | /leadmanager/leads/migrations/0001_initial.py | cb262f320fdb6c369a3809628705f24bd046b280 | [] | no_license | karatugo/lead-manager | b31f282f707fac44dff5fb16b87b9b57a42f2a9d | 88c3026efeacb26643372cc196efd5fc43e785e2 | refs/heads/master | 2023-01-19T19:39:47.193833 | 2020-06-29T12:22:22 | 2020-06-29T12:22:22 | 244,813,308 | 0 | 0 | null | 2023-01-07T19:34:37 | 2020-03-04T05:13:03 | JavaScript | UTF-8 | Python | false | false | 705 | py | # Generated by Django 2.2 on 2020-03-04 07:51
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Lead',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100)),
('email', models.EmailField(max_length=254, unique=True)),
('message', models.CharField(blank=True, max_length=500)),
('created_at', models.DateTimeField(auto_now_add=True)),
],
),
]
| [
"[email protected]"
] | |
1b03222fee8df5feca6f6e38df3cf46e883c4e67 | 27bc04992b9122356c587ef18036524106bc6bd2 | /spaces33.py | 354a514f0fc780e179423eb99e81ff9c09181ef5 | [] | no_license | naveenakallagunta/python | bafde4811af7cde76fca7dd2cb79037aea2fc5be | 65a4bcae4c2bcd0ca2a7b850159cb79f73de13ba | refs/heads/master | 2020-03-27T06:08:17.362728 | 2018-12-13T06:36:51 | 2018-12-13T06:36:51 | 146,081,643 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 33 | py | z=raw_input()
print z.count(' ')
| [
"[email protected]"
] | |
b75960015422e66c2334cbbfb1eb2fc24101bf41 | 71054ffad08ec0cd3dc991d13db788c9577121da | /main.py | 4cc8f1035a01ccd225a19583f1ccf5488ae885db | [] | no_license | Carlesgg97/py-fetch-twitch-vod-chat | b290d7a0715ddfc678858d66a91c5f132ef2c5ff | 9d558ba2371c45bc48f659d948a8b945e76a321e | refs/heads/master | 2023-02-21T06:15:12.215541 | 2021-01-20T18:34:29 | 2021-01-20T18:38:39 | 331,396,788 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,311 | py | import requests
import json
import sys
import argparse
ACCEPT_HEADER = "application/vnd.twitchtv.v5+json"
BASE_URL_TEMPLATE = "https://api.twitch.tv/v5/videos/%s/comments"
def parse_args():
parser = argparse.ArgumentParser(description='Download a twitch vod\'s chat messages')
parser.add_argument('vod_id', type=int, help='Vod id, obtained from the last digits of the vod url')
parser.add_argument('client_id', type=str, help='Client id, visit https://dev.twitch.tv/docs/api to find out more')
return parser.parse_args()
def fetch_vod_comments(vod_id, client_id):
url = BASE_URL_TEMPLATE % vod_id
qstring = "?content_offset_seconds=0"
comments_list = []
next_cursor = None
while True:
response = requests.get(url + qstring, headers={'Accept': ACCEPT_HEADER, 'Client-ID': client_id})
print('Obtained response code %s for cursor %s' % (response.status_code, next_cursor), file=sys.stderr)
json_data = response.json()
comments_list = comments_list + json_data['comments']
next_cursor = json_data.get('_next')
if not next_cursor:
break
qstring = "?cursor=%s" % next_cursor
return comments_list
if __name__ == '__main__':
args = parse_args()
comments_list = fetch_vod_comments(args.vod_id, args.client_id)
print(json.dumps(comments_list, indent=2))
| [
"[email protected]"
] | |
e0ec96fe394d55ea0a473edbcab1f39f84f26a85 | a8e25a558ffcbd0113b87e1971076d9d40dad9c4 | /contact.py | 1433f42f19eaf0ef9c1463732fbc155640a1717e | [] | no_license | WambiruL/contact-list | ce5087b37d0390b03c4a912c7db19f8ba8cf0722 | 239018141ee04d484cf8f6529dc25d70a7db4a03 | refs/heads/master | 2023-05-10T22:27:30.793908 | 2021-05-31T07:46:03 | 2021-05-31T07:46:03 | 372,424,752 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,062 | py | import pyperclip
class Contact:
contact_list= [] #empty
def __init__(self,first_name,last_name,phone_number,email):
self.first_name = first_name
self.last_name = last_name
self.phone_number = phone_number
self.email = email
#self is a special keyword in python,
# self is a variable that represents the instance of the object itself. Like "this" in Js.
# _init_ creates new instances of a class
def save_contact(self): #append objects to contact list
"""
save_contact method saves contact objects into contact_list
"""
Contact.contact_list.append(self)
def delete_contact(self):
"""delete_contact method deletes a saved contact from the contact_list
"""
Contact.contact_list.remove(self)
@classmethod #decorator. Allows make simple modifications to functions,methods or classes. Eg Shows that the method belongs to the entire class
def find_by_number(cls,number): #cls refers to entire class.
'''
Method that takes in a number and returns a contact that matches that number.
Args:
number: Phone number to search for
Returns :
Contact of person that matches the number.
'''
for contact in cls.contact_list:
if contact.phone_number == number:
return contact
@classmethod
def contact_exist(cls,number):
"""Method that checks if a contact exists from the contact list
Args:
number: Phone number to search if it exists
returns: True or false depending if the contact exists
"""
for contact in cls.contact_list:
print(contact.phone_number, "This is my comtact")
if contact.phone_number==number:
return True
return False
@classmethod
def display_contact(cls):
"""
method that returns the contact list
"""
return cls.contact_list
@classmethod
def copy_email(cls,number):
contact_found = Contact.find_by_number(number)
pyperclip.copy(contact_found.email) | [
"[email protected]"
] | |
480a47f925cf0431ba0762f3cb95c93bd5a706c6 | bf4e3a2daf7c00cbfec3c8e4f94ba94ad4b72f13 | /fundamentals_of_programming/Laboratory5-7/domain/DomainException.py | d55ac3673868e88e6009438dc9484ce9d472b20c | [] | no_license | LeancaBogdan/University | 93a5481d6dcf877142e88b1c216e5ac56e496391 | f4fd433395152fb378f41171f0c2f4534325778e | refs/heads/master | 2020-07-01T08:16:43.791800 | 2020-02-10T17:36:14 | 2020-02-10T17:36:14 | 112,607,377 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,614 | py | """
Created on 24 nov. 2016
@author: bogdanleanca
"""
class DisciplineException(Exception):
"""
Class for exceptions regarding disciplines
"""
def __init__(self, message):
"""
Constructor
"""
self._message = message
def get_message(self):
"""
Getter for the message
:return: The message
"""
return self._message
def __str__(self):
"""
Override for the str function
:return: String containing the exception message
"""
return self._message
class StudentException(Exception):
"""
Class for exceptions regarding students
"""
def __init__(self, message):
"""
Constructor
"""
self._message = message
def get_message(self):
"""
Getter for the message
:return: The message
"""
return self._message
def __str__(self):
"""
Override for the str function
:return: String containing the exception message
"""
return self._message
class GradeException(Exception):
"""
Class for exceptions regarding grades
"""
def __init__(self, message):
"""
Constructor
"""
self._message = message
def get_message(self):
"""
Getter for the message
:return: The message
"""
return self._message
def __str__(self):
"""
Override for the str function
:return: String containing the exception message
"""
return self._message
| [
"[email protected]"
] | |
ed043dab200abb9b900bc4245757332efb6e5732 | 66e2921d550edc185f15c7b4f616f05a5f2095aa | /basicapp/forms.py | 0bf8fb3fe5ad2fef5e679e976747200d167b49ce | [] | no_license | tgchen/basicforms | 030b6fefee8366aae89e8b1022a69d560df0e5fd | f704ae7227b1a9c3b4e02b5f8eb4cdd84fc18217 | refs/heads/master | 2020-06-06T15:23:32.800668 | 2019-06-19T18:54:46 | 2019-06-19T18:54:46 | 192,776,500 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 540 | py | from django import forms
from django.core import validators
class FormName(forms.Form):
name = forms.CharField()
email = forms.EmailField()
verify_email = forms.EmailField(label='Enter your Email again:')
text = forms.CharField(widget=forms.Textarea)
def clean(self):
all_clean_data = super().clean()
email = all_clean_data['email']
verify_email = all_clean_data['verify_email']
if email != verify_email:
raise forms.ValidationError("Make sure Email Match")
| [
"[email protected]"
] | |
d3a1ab0719a1a0bce38f4a80055f2147f05eede0 | d6a6134be4d8befa72c5e0983c4119030a838a64 | /torba/torba/orchstr8/cli.py | b88ee065e8df11401f5e3d5cb5567a4ad97588aa | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | gpjacobs/lbry-sdk | a97c7e5b7cc714df5fcd02581f9a97f9b3efdfa7 | 3562234f9d80552196113d51736321a41dcc91d9 | refs/heads/master | 2020-08-12T05:16:04.892260 | 2019-12-13T17:05:36 | 2019-12-13T17:18:37 | 214,695,274 | 0 | 0 | MIT | 2019-10-12T18:25:37 | 2019-10-12T18:25:37 | null | UTF-8 | Python | false | false | 3,123 | py | import logging
import argparse
import asyncio
import aiohttp
from torba.orchstr8.node import Conductor, get_ledger_from_environment, get_blockchain_node_from_ledger
from torba.orchstr8.service import ConductorService
def get_argument_parser():
parser = argparse.ArgumentParser(
prog="torba"
)
subparsers = parser.add_subparsers(dest='command', help='sub-command help')
subparsers.add_parser("gui", help="Start Qt GUI.")
subparsers.add_parser("download", help="Download blockchain node binary.")
start = subparsers.add_parser("start", help="Start orchstr8 service.")
start.add_argument("--blockchain", help="Hostname to start blockchain node.")
start.add_argument("--spv", help="Hostname to start SPV server.")
start.add_argument("--wallet", help="Hostname to start wallet daemon.")
generate = subparsers.add_parser("generate", help="Call generate method on running orchstr8 instance.")
generate.add_argument("blocks", type=int, help="Number of blocks to generate")
subparsers.add_parser("transfer", help="Call transfer method on running orchstr8 instance.")
return parser
async def run_remote_command(command, **kwargs):
async with aiohttp.ClientSession() as session:
async with session.post('http://localhost:7954/'+command, data=kwargs) as resp:
print(resp.status)
print(await resp.text())
def main():
parser = get_argument_parser()
args = parser.parse_args()
command = getattr(args, 'command', 'help')
if command == 'gui':
from torba.workbench import main as start_app # pylint: disable=import-outside-toplevel
return start_app()
loop = asyncio.get_event_loop()
asyncio.set_event_loop(loop)
ledger = get_ledger_from_environment()
if command == 'download':
logging.getLogger('blockchain').setLevel(logging.INFO)
get_blockchain_node_from_ledger(ledger).ensure()
elif command == 'generate':
loop.run_until_complete(run_remote_command(
'generate', blocks=args.blocks
))
elif command == 'start':
conductor = Conductor()
if getattr(args, 'blockchain', False):
conductor.blockchain_node.hostname = args.blockchain
loop.run_until_complete(conductor.start_blockchain())
if getattr(args, 'spv', False):
conductor.spv_node.hostname = args.spv
loop.run_until_complete(conductor.start_spv())
if getattr(args, 'wallet', False):
conductor.wallet_node.hostname = args.wallet
loop.run_until_complete(conductor.start_wallet())
service = ConductorService(conductor, loop)
loop.run_until_complete(service.start())
try:
print('========== Orchstr8 API Service Started ========')
loop.run_forever()
except KeyboardInterrupt:
pass
finally:
loop.run_until_complete(service.stop())
loop.run_until_complete(conductor.stop())
loop.close()
else:
parser.print_help()
if __name__ == "__main__":
main()
| [
"[email protected]"
] | |
b8c613489b03334b098ccfed4cbaf881736f911d | 02f9eb2d16a6c8f58f0f242d1fbf66cf38f3c95f | /tests/test_sim_ranked_item.py | ad36b519715d4fbd1e6a50e3c58ed12117d0f142 | [
"MIT"
] | permissive | League-Advisor/league-advisor | 39de50f3e31381672f9d7ad35bff3c99fb39c9f2 | b77895833075ff13b075875eff421ec9fef9770e | refs/heads/main | 2023-09-05T02:44:12.866773 | 2021-11-11T09:32:35 | 2021-11-11T09:32:35 | 423,940,194 | 0 | 0 | MIT | 2021-11-12T11:10:08 | 2021-11-02T17:35:42 | Python | UTF-8 | Python | false | false | 509 | py | from league_advisor.league_advisor import LeagueAdvisor
from tests.flo import diff
def test_ranked_item_error():
league_advisor = LeagueAdvisor()
diffs = diff(league_advisor.run_program,
path="tests/simulations/ranked_error_color.sim.txt")
assert not diffs, diffs
def test_ranked_item_passed():
league_advisor = LeagueAdvisor()
diffs = diff(league_advisor.run_program,
path="tests/simulations/ranked_item_color_r.sim.txt")
assert not diffs, diffs
| [
"[email protected]"
] | |
474d8440cc981c68de092f5b796c145a85e9c0d7 | 446668176ba9765575738faa8a634a0671616572 | /caidaTensionRestML-master/API_CAIDA_TENSION/apps.py | da2e3120eb5da6d884e6dccd6619fd86556731b2 | [] | no_license | ManuelSBZ/CaidaTensionServiceML | 80f51103f1b8078354dbe190d5acfed27b07dff3 | dfa1cc3a62e5e5bd22b7e72db9ddd5cf8ab39ee4 | refs/heads/master | 2023-08-12T18:55:10.250720 | 2020-09-29T04:29:26 | 2020-09-29T04:29:26 | 272,574,105 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 107 | py | from django.apps import AppConfig
class ApiCaidaTensionConfig(AppConfig):
name = 'API_CAIDA_TENSION'
| [
"[email protected]"
] | |
1b28dc7a43913b16cc1387fd0723ce67de83ecdc | 8ae5d4eb8bb714e50e7a68a9543c7bc6dd34c54f | /blog/migrations/0003_auto_20210510_1852.py | a5946c41be719b976b54eafefd0574e553423a94 | [] | no_license | Axrorbek05/personal_site | e476af120dc08fae8f6abbb4221cb231b98f1312 | d01fe787c00dbad168c4b4d6b6a3044ee13fc38a | refs/heads/main | 2023-05-10T05:07:34.736321 | 2021-06-11T14:25:28 | 2021-06-11T14:25:28 | 374,702,644 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 752 | py | # Generated by Django 3.2.2 on 2021-05-10 13:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0002_auto_20210510_1849'),
]
operations = [
migrations.CreateModel(
name='AboutMySkills',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=100)),
('description', models.TextField(max_length=1000)),
],
),
migrations.AlterModelOptions(
name='aboutme',
options={'verbose_name': 'About Me', 'verbose_name_plural': 'About Me'},
),
]
| [
"[email protected]"
] | |
66fc38aa55d5e4e028d3034b05ed4e42e95db0f8 | 12f47745f5216f400c47a999186cfb5ebb41e82d | /env2.7.11/bin/qiniupy | b21892ad7d0e1aaa6b928455be3bb75cbee97a1b | [] | no_license | yangsongx/doc | c9327d1489b493e773e54356a583cfa1543f007d | 9de7d59618d490731e1a214f940e49c698bc1527 | refs/heads/master | 2021-01-21T12:58:57.716377 | 2016-04-27T09:30:14 | 2016-04-27T09:30:14 | 46,835,093 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 315 | #!/d/projects/env2.7.11/bin/python2.7
# EASY-INSTALL-ENTRY-SCRIPT: 'qiniu==7.0.6','console_scripts','qiniupy'
__requires__ = 'qiniu==7.0.6'
import sys
from pkg_resources import load_entry_point
if __name__ == '__main__':
sys.exit(
load_entry_point('qiniu==7.0.6', 'console_scripts', 'qiniupy')()
)
| [
"[email protected]"
] | ||
389a365a6e25c241f42dc45617a410f8c83ee19b | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03761/s550308276.py | ea846a6dca52e1e800df28ff7483ccc82a524804 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 189 | py | n=int(input())
a=[100]*26
for i in range(n):
s=input()
for j in range(26):
a[j]=min(a[j],s.count(chr(ord('a')+j)))
for i in range(26):
print(chr(ord('a')+i)*a[i],end='') | [
"[email protected]"
] | |
e060d09287e50e67ac9867e009cc63bbc879f331 | 16b81ffcb40b429bde1e9bc10e5eeddd9d2ec51f | /cs212/test_lesson6.py | 659253841de433d4da6d7c8e7655414b071e2e33 | [] | no_license | suminb/coding-exercise | 564424b7b98ea768c57a5b7f106fd7844e8e2843 | b8b9377e7a76b498a9e6fb325743b16cbc943932 | refs/heads/master | 2023-06-16T03:01:59.009635 | 2020-05-09T11:09:25 | 2020-05-09T11:09:25 | 171,614,062 | 8 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,311 | py | import pytest
from lesson6 import *
@pytest.mark.parametrize('h1, h2, expected', [
(1, 0, True),
(0, 1, False),
(4, 3, True),
(2, 2, False),
])
def test_imright(h1, h2, expected):
actual = imright(h1, h2)
assert expected == actual
@pytest.mark.parametrize('h1, h2, expected', [
(1, 0, True),
(0, 1, True),
(1, 1, False),
(2, 4, False),
])
def test_nextto(h1, h2, expected):
actual = nextto(h1, h2)
assert expected == actual
def test_all_ints():
it = all_ints()
ints = [next(it) for _ in range(8)]
assert [0, +1, -1, +2, -2, +3, -3, +4]
@pytest.mark.skip
@pytest.mark.parametrize('formula, expected', [
('X + Y == Z', '2 + 1 == 3'), # Sometimes the order gets mixed up...
('ODD + ODD == EVEN', '655 + 655 == 1310'),
])
def test_solve(formula, expected):
actual = solve(formula)
assert expected == actual
@pytest.mark.parametrize('word, expected', [
('', ''),
('+', '+'),
('YOU', '1*U+10*O+100*Y'),
('lower', 'lower'),
])
def test_compile_word(word, expected):
actual = compile_word(word)
assert expected == actual
# NOTE: A simple profiling can be done by invoking the following command:
#
# python -m cProfile cs212/test_lesson6.py
#
if __name__ == '__main__':
pytest.main(['-v', __file__]) | [
"[email protected]"
] | |
7fa19b9053be05a63b004f22e6649de333114e9d | 0d1d489b32b656b1f418e102b25549c90692335e | /interface/rebuild_test_bak.py | 8b8be8321b6f3cceca88a076feac253534cc8dee | [] | no_license | vitaminwxl/doc_test_ker | de7a7f9f8106a5f2d72936815d781160709f6436 | 584ae62044ef44ebbe3ed44b6ec6de4e4e246068 | refs/heads/master | 2020-12-03T04:16:16.343417 | 2017-07-04T03:13:50 | 2017-07-04T03:13:50 | 95,842,095 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 20,892 | py | #!/usr/bin/env python
# encoding: utf-8
import os, sys
sys.path.append('/gomeo2o/htdocs/judy')
os.environ['DJANGO_SETTINGS_MODULE'] = 'judy.settings'
import paramiko
# import subprocess
# import os,sys
import fileinput
import time
import pexpect
from docker import Client
import docker
import threading
import socket
socket.setdefaulttimeout(9.0)
import json
import urllib, urllib2
import re, ConfigParser
from console.models import Container, Application
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.shortcuts import render_to_response
#from api.models import dockerdata
reload(sys)
sys.setdefaultencoding("utf-8")
from django.conf import settings
zeusadmin_pwd = settings.ZEUSADMIN_PWD
config = ConfigParser.ConfigParser()
BASE_DIR = '/gomeo2o/htdocs/judy'
config.read(os.path.join(BASE_DIR, 'judy.conf'))
zeus_url = config.get('zeus', 'zeus_url')
zeus_user = config.get('zeus', 'zeus_user')
zeus_password = config.get('zeus', 'zeus_password')
# port1=22
# port2=21987
#def disk_status(host_name, memory_total,cpu_total,cmd,images,disk_size,disk_type_name,host_ip):
def container_create(host_name, memory_total,cpu_total,images,disk_size,disk_type_name,host_ip,container_ip,container_gw):
disk_type = "cloud_" + disk_type_name
json_data = '''
{
"Hostname":"%s",
"HostConfig": {"Memory":%s,"MemorySwap":%s,"Binds": ["/docker_data/%s/%s:/gomeo2o"],"NetworkMode": "none","CpusetCpus": "%s","Privileged": true},
"AttachStdin":false,
"AttachStdout":true,
"AttachStderr":true,
"PortSpecs":null,
"Tty":true,
"OpenStdin":false,
"StdinOnce":false,
"Env":["PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"],
"Cmd":["/usr/bin/supervisord"],
"Dns":null,
"Config": {"Entrypoint": ["/usr/bin/supervisord"]},
"Image":"%s"
}
''' % (host_name, memory_total, memory_total,disk_type,host_name,cpu_total,images)
headers = {'Content-type': 'application/json', 'Accept': 'charset=utf-8'}
req = urllib2.Request("http://%s:5555/containers/create" % (host_ip), json_data, headers)
response = urllib2.urlopen(req)
a = response.read()
dev_disk = "/dev/%s/%s" %(disk_type,host_name)
data_disk = "/docker_data/%s/%s" %(disk_type,host_name)
return (json.dumps({'code':200,'host_name':host_name,'containers_ID':json.loads(a).get('Id'),'dev_disk':dev_disk,'data_disk':data_disk},indent=4))
#print disk_status('python-docker190', int('4000000000'),'0-3','centos6.7','100GB','sdd','10.69.111.11','10.69.112.13/24','10.69.112.254')
def stop(host_ip,ids):
# print type(ids)
try:
headers = {'Content-type': 'application/json', 'Accept': 'charset=utf-8'}
req_stop = urllib2.Request("http://%s:5555/containers/%s/stop" %(host_ip,ids),'{}',headers)
response_stop = urllib2.urlopen(req_stop)
out_stop = response_stop.read()
return (json.dumps({'code':200,'stop_status':'Stop Success'},sort_keys=True,indent=4))
except:
return (json.dumps({'code':500,'stop_status':'Stop failure'},sort_keys=True,indent=4))
#print stop('10.125.111.12','d8059bb05c7937168f55d9d04743d31d7d8315d164daa434e23d15c1a86da723')
def start(host_ip,ids,container_ip,container_gw,mount_dev,mount_path):
test_str = 'sudo pipework em2 -i eth2 %s %s@%s && sudo mount %s %s' % (ids,container_ip,container_gw,mount_dev,mount_path)
print test_str
ssh_c = pexpect.spawn('ssh -p21987 zeusadmin@%s "%s"' % (host_ip, 'sudo pipework em2 -i eth2 %s %s@%s && sudo mount %s %s' % (ids,container_ip,container_gw,mount_dev,mount_path)))
try:
headers = {'Content-type': 'application/json', 'Accept': 'charset=utf-8'}
req_start = urllib2.Request("http://%s:5555/containers/%s/start" %(host_ip,ids), '{}', headers)
response_start = urllib2.urlopen(req_start)
out_start = response_start.read()
i = ssh_c.expect(['password:', 'continue connecting (yes/no)?'])
if i == 0:
print "i=0"
ssh_c.sendline(zeusadmin_pwd)
elif i == 1:
ssh_c.sendline('yes\n')
ssh_c.expect('password: ')
ssh_c.sendline(zeusadmin_pwd)
ssh_c.sendline()
ssh_c.sendline()
return (json.dumps({'code':200,'status':'start ok'},sort_keys=True,indent=4))
except urllib2.URLError,e:
return (json.dumps({'code':201,'status':'Restart has been successful, no need to restart'},sort_keys=True,indent=4))
except pexpect.EOF:
ssh_c.close()
return (json.dumps({'code':300,'status':'SSH connection error!'},sort_keys=True,indent=4))
except pexpect.TIMEOUT:
return (json.dumps({'code':301,'status':'SSH connection TimeOut!'},sort_keys=True,indent=4))
#print start('10.125.110.12','d8059bb05c7937168f55d9d04743d31d7d8315d164daa434e23d15c1a86da723','10.125.110.182/24','10.125.110.254','/dev/cloud_nvme0n1/python-docker182','/docker_data/cloud_nvme0n1/python-docker182')
def remove(host_ip,ids,mount_dev,mount_path):
def ssh_umonlt():
ssh_c = pexpect.spawn('ssh -p21987 zeusadmin@%s "%s"' % (host_ip, 'sudo umount -lf %s' %(mount_path)))
i = ssh_c.expect(['password:', 'continue connecting (yes/no)?'])
if i == 0:
ssh_c.sendline(zeusadmin_pwd)
elif i == 1:
ssh_c.sendline('yes\n')
ssh_c.expect('password: ')
ssh_c.sendline(zeusadmin_pwd)
ssh_c.sendline()
def ssh_lvremove():
# list_all = []
# try:
ssh_c = pexpect.spawn('ssh -p21987 zeusadmin@%s "%s"' % (host_ip, 'sudo echo "yes"|sudo lvremove %s' %(mount_dev)))
i = ssh_c.expect(['password:', 'continue connecting (yes/no)?'])
if i == 0:
ssh_c.sendline(zeusadmin_pwd)
elif i == 1:
ssh_c.sendline('yes\n')
ssh_c.expect('password: ')
ssh_c.sendline(zeusadmin_pwd)
ssh_c.sendline()
try:
URL="http://%s:5555/containers/json?all=1" %(host_ip)
response = urllib2.urlopen(URL).read()
response_dict = eval(response)
for i in response_dict:
status = {'ID':[i.get("Id"),i.get('Status')]}
if status["ID"][0] == "%s" %(ids):
if re.search('Exit',status["ID"][1]):
ssh_umonlt()
request = urllib2.Request("http://%s:5555/containers/%s?v=1" %(host_ip,ids))
request.get_method = lambda: 'DELETE'
response = urllib2.urlopen(request)
ssh_lvremove()
return (json.dumps({'code':200,'status':'Successfully deleted containers_id:%s' %(ids)},sort_keys=True,indent=4))
else:
try:
headers = {'Content-type': 'application/json', 'Accept': 'charset=utf-8'}
req_stop = urllib2.Request("http://%s:5555/containers/%s/kill" %(host_ip,ids),'{}',headers)
try:
response_stop = urllib2.urlopen(req_stop)
ssh_umonlt()
request = urllib2.Request("http://%s:5555/containers/%s?v=1" %(host_ip,ids))
request.get_method = lambda: 'DELETE'
response = urllib2.urlopen(request)
ssh_lvremove()
return (json.dumps({'code':200,'status':'Successfully deleted containers_id:%s' %(ids)},sort_keys=True,indent=4))
except urllib2.URLError,e:
return (json.dumps({'code':500,'status':'URL TimeOut or containers_id:%s 404 Not Found' %(ids)},sort_keys=True,indent=4))
except Exception,e:
request = urllib2.Request("http://%s:5555/containers/%s?v=1" %(host_ip,ids))
request.get_method = lambda: 'DELETE'
try:
ssh_lvremove()
response = urllib2.urlopen(request)
return (json.dumps({'code':200,'status':'Successfully deleted containers_id:%s' %(ids)},sort_keys=True,indent=4))
except urllib2.URLError,e:
return (json.dumps({'code':500,'status':'URL TimeOut or containers_id:%s 404 Not Found' %(ids)},sort_keys=True,indent=4))
except urllib2.URLError,e:
return (json.dumps({'code':500,'status':'URL TimeOut or containers_id:%s 404 Not Found' %(ids)},sort_keys=True,indent=4))
#print remove('10.125.111.12','3bc96c49090fce704766adf7975509176f34cbe4f84d145726bc47f70ee58f29','/dev/cloud_nvme0n1/python-docker180','/docker_data/cloud_nvme0n1/python-docker180')
def status_info(host_ip):
lists = []
try:
URL="http://%s:5555/containers/json?all=1" %(host_ip)
response = urllib2.urlopen(URL).read()
response_dict = eval(response)
for i in response_dict:
try:
if re.search('Up',i.get("Status")):
status = 'Up'
# print status
elif re.search('Exit',i.get("Status")):
status = 'Exit'
# print status
elif re.search('Create',i.get("Status")):
status = 'Create'
lists.append({"ID":i.get('Id'),'Status':status})
except UnboundLocalError,e:
pass
return (json.dumps({'message':lists,'code':'200'},sort_keys=True,indent=4))
except urllib2.URLError,e:
# return (json.dumps({'message':lists,'code':'200'},sort_keys=True,indent=4))
pass
# return (json.dumps({'code':201,'message':'Container host state failure'},sort_keys=True,indent=4))
#print status_info('10.125.111.12')
def docker_all(host_ip):
try:
URL="http://%s:5555/info" %(host_ip)
response = urllib2.urlopen(URL,timeout=120).read()
response_dict = json.loads(response).get('DriverStatus')
for i in response_dict:
# print i[0],i[1]
if re.search('Data Space Total',i[0]):
total = {"total_status":i[1].replace('.','').replace('TB','')}
elif re.search('Data Space Used',i[0]):
if re.search('GB',i[1]):
# print i[1].replace('GB','')
# print len(i[1].replace('.','').replace('GB',''))
a = i[1].replace('GB','')
floats_integer = round(float(a),0)
# print len('%s' %int(round(float(floats_integer),0)))
if len('%s' %int(round(float(floats_integer),0))) == 1:
users = {"users_status":int(round(float(floats_integer),0)) * 1000}
elif len('%s' %int(round(float(floats_integer),0))) == 2:
users = {"users_status":int(round(float(floats_integer),0)) * 1000}
elif len('%s' %int(round(float(floats_integer),0))) == 3:
users = {"users_status":int(round(float(floats_integer),0)) * 1000}
elif len('%s' %int(round(float(floats_integer),0))) == 4:
users = {"users_status":int(round(float(floats_integer),0)) * 1000}
else:
return (json.dumps({'code':'500','message':'docker data Storage is Full '},sort_keys=True,indent=4))
elif re.search('MB',i[1]):
b = i[1].replace('MB','')
# print b
floats_integers = round(float(b),0)
# print floats_integers
if len('%s' %int(round(float(floats_integers),0))) == 1:
users = {"users_status":int(round(float(floats_integers),0))}
elif len('%s' %int(round(float(floats_integers),0))) == 2:
users = {"users_status":int(round(float(floats_integers),0))}
elif len('%s' %int(round(float(floats_integers),0))) == 3:
users = {"users_status":int(round(float(floats_integers),0))}
else:
pass
# print users.get('users_status')
# print int(float(total.get('total_status'))) * 1000
if int(users.get('users_status')) >= int(float(total.get('total_status'))) * 1000000 * 0.85:
return (json.dumps({'code':'500','message':'docker data Storage is Full '},sort_keys=True,indent=4))
else:
return (json.dumps({'code':'200','message':'docker Data_Pool Storage is Available'},sort_keys=True,indent=4))
except urllib2.URLError,e:
return (json.dumps({'code':'404','message':'Url Http_Request Error'},sort_keys=True,indent=4))
#print docker_all('10.69.111.11')
def docker_monitor(host_ip,container_id,network_card):
try:
lists=[]
network_alls=[]
memory_alls=[]
cpu_alls=[]
io_alls=[]
times = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))
datetimes = int(time.mktime(time.strptime(times,'%Y-%m-%d %H:%M:%S')))
# datetimes = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))
# timeStamp = int(time.mktime(datatimes))
cli = Client(base_url='tcp://%s:5555' %(host_ip),version='1.20')
stats_obj = cli.stats('%s' %(container_id))
for i in stats_obj:
lists.append(i)
break
for i in lists:
i_json = json.loads(i)
for k,v in i_json.items():
# print k
if re.search('network',k):
network = {'network_stats':[v]}
network_alls.append(network)
if re.search('memory_stats',k):
memory = {'memory_stats':[v]}
# print memory
for memory_i in memory.get('memory_stats'):
memory_stats = {'mem_usage':str(round(memory_i.get('usage')) / 1000000),'mem_limit':str(memory_i.get('limit') / 1000000000 * 1000)}
# memory_alls.append(memory)
if re.search('cpu_stats',k):
cpu = {'cpu_stats':[v]}
for cpu_i in cpu.get('cpu_stats'):
# print cpu
# for k,v in cpu_i.items():
# print v
# if re.search('throttling_data',cpu_i.get('cpu_usage').get('throttling_data')):
# print cpu_i
# print cpu_i.get('cpu_usage').get('total_usage')
# print cpu_i.get('cpu_usage').get('percpu_usage')
if int(cpu_i.get('cpu_usage').get('total_usage')) != 0 and cpu_i.get('cpu_usage').get('total_usage') != None:
#stats = cpu_i.get('cpu_usage').get('total_usage') / cpu_i.get('cpu_usage').get('percpu_usage')[0]
cpu_stats = str(float(cpu_i.get('cpu_usage').get('total_usage') / cpu_i.get('cpu_usage').get('percpu_usage')[0]) / 100) + '%'
# print stats
# print cpu_i.get('cpu_usage').get('total_usage')
# print cpu_i.get('cpu_usage').get('percpu_usage')[0]
# print stats
else:
pass
# cpu_alls.append(cpu)
if re.search('blkio_stats',k):
io = {'io_stats':[v]}
io_alls.append(io)
linux='python /home/zeusadmin/monitor/monitor_flow.py %s' %network_card
cli = docker.Client(base_url='tcp://%s:5555' %(host_ip),version='1.20',timeout=10)
ex = cli.exec_create(container=container_id, cmd=linux,user='root')
ls = cli.exec_start(exec_id=ex["Id"], tty=True).strip('\r\n')
if len(ls) == 0:
flow = u"监控无数据"
else:
flow = eval(ls)
# print ls
# print memory_stats
# print cpu_stats
# print io_alls
# print flow
all_stats = {'code':200,'monitor_time':datetimes,'message':[{'memory_stats':memory_stats},{'flow_stats':flow},{'cpu_stats':{'cpu_usage':cpu_stats}}]}
return (json.dumps(all_stats,sort_keys=True,indent=4))
# print stats
# status = {'code':200,'message': [network_alls,memory_alls,cpu_alls,io_alls]}
# return (json.dumps(status,sort_keys=True,indent=4))
except docker.errors.NotFound,e:
return e
except Exception,e:
return e
# print network_alls
# print memory_alls
# print cpu_alls
# print io_alls
# print cpu
#print docker_monitor('10.69.111.11','33389c20e698','eth2')
def flow(host_ip,container_id,network_card):
try:
linux='python /home/zeusadmin/monitor/monitor_flow.py %s' %network_card
cli = docker.Client(base_url='tcp://%s:5555' %(host_ip),version='1.20',timeout=10)
ex = cli.exec_create(container=container_id, cmd=linux,user='root')
ls = cli.exec_start(exec_id=ex["Id"], tty=True).strip('\n')
if len(ls) == 0:
return u"监控无数据"
else:
return ls
except Exception,e:
return e
#print flow('10.69.111.11','919e734b2845','eth2')
def start_test(host_ip,ids,container_ip,container_gw,mount_dev,mount_path):
jcdata = '''
{
"HostConfig": {"Memory":%s,"MemorySwap":%s,"Binds":["/test:/opt"]}
}
''' % (int('4800000000'),int('4800000000'))
try:
headers = {'Content-type': 'application/json', 'Accept': 'charset=utf-8'}
req_start = urllib2.Request("http://%s:5555/containers/%s/start" %(host_ip,ids), jcdata, headers)
response_start = urllib2.urlopen(req_start)
out_start = response_start.read()
ssh_c = pexpect.spawn('ssh -p21987 zeusadmin@%s "%s"' % (host_ip, 'sudo pipework em2 -i eth2 %s %s@%s && sudo mount %s %s' %(ids,container_ip,container_gw,mount_dev,mount_path)))
i = ssh_c.expect(['password:', 'continue connecting (yes/no)?'])
if i == 0:
ssh_c.sendline(zeusadmin_pwd)
elif i == 1:
ssh_c.sendline('yes\n')
ssh_c.expect('password: ')
ssh_c.sendline(zeusadmin_pwd)
ssh_c.sendline()
ssh_c.sendline()
return (json.dumps({'code':200,'status':'start ok'},sort_keys=True,indent=4))
except urllib2.URLError,e:
return (json.dumps({'code':201,'status':'Restart has been successful, no need to restart'},sort_keys=True,indent=4))
except pexpect.EOF:
ssh_c.close()
return (json.dumps({'code':300,'status':'SSH connection error!'},sort_keys=True,indent=4))
except pexpect.TIMEOUT:
return (json.dumps({'code':301,'status':'SSH connection TimeOut!'},sort_keys=True,indent=4))
#print start_test('10.69.111.12','d38de718a806d6123f5cfe37a7a8f6491215f5935f60263fbac3652b7e3a8f1f','10.69.112.199/24','10.69.112.254','/dev/cloud_sdd/python-docker190','/docker_data/cloud_sdd/python-docker190')
if __name__ == '__main__':
print "aaa"
container_all = Container.objects.all()
for container in container_all:
host_name = container.hostname
memory_total = container.memory + "000000000"
print memory_total
cpu_total = container.cpu
images = 'centos6.7'
disk_size = int(container.disk)
disk_type_name ='sdd'
host_ip = container.host_ip
container_ip = container.container_ip
container_ip_with_mask = container.container_ip + "/24"
container_gw = '10.69.112.254'
mount_dev = container.mount_dev
mount_path = container.mount_path
add_users = container.application.users_add
add_users = add_users.split(' ')
while '' in add_users:
print add_users
# add_users.remove('')
# 创建容器
# create_status = container_create(host_name, memory_total, cpu_total, images, disk_size, disk_type_name, host_ip, container_ip, container_gw)
# create_status = json.loads(create_status)
# cid = create_status["containers_ID"]
# ids = [cid]
# print cid
# print create_status
# 启动容器
# print host_ip, cid, container_ip, container_gw, mount_dev, mount_path
# start_status = start(host_ip, cid, container_ip_with_mask, container_gw, mount_dev, mount_path)
# print start_status
# 更新Container表
# container.container_id = cid
# container.save()
# 推送用户
# url = zeus_url + 'zapi/add_cmdb/'
# values = {"username": zeus_user, "password": zeus_password, "ip": container_ip,
# "hostname": host_name, "add_users": add_users}
# values = json.dumps(values)
# req = urllib2.Request(url, values)
# response = urllib2.urlopen(req, timeout=300)
# the_page = response.read()
# print the_page
| [
"[email protected]"
] | |
5b48673a67efc9aaacd2b58ddf39fba70fd8cc5a | 9f663a205e683c442b14919e369d9302a00ae20d | /probnmn/evaluators/joint_training_evaluator.py | f6d65734e891076b1f3836989963c0cbcbb59ec1 | [
"MIT"
] | permissive | minalspatil/probnmn-clevr | 65b4062c289a4d6bc87047f51d17410cbc015de2 | 9c1b2286cf30e9fb045370153c9242a39760e02e | refs/heads/master | 2022-04-12T18:08:14.782588 | 2020-03-10T18:54:38 | 2020-03-10T18:54:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,925 | py | import logging
from typing import Any, Dict, List, Type
from allennlp.data import Vocabulary
from torch import nn
from torch.utils.data import DataLoader
from probnmn.config import Config
from probnmn.data.datasets import JointTrainingDataset
from ._evaluator import _Evaluator
logger: logging.Logger = logging.getLogger(__name__)
class JointTrainingEvaluator(_Evaluator):
r"""
Performs evaluation for ``joint_training`` phase, using batches of evaluation examples from
:class:`~probnmn.data.datasets.JointTrainingDataset`.
Parameters
----------
config: Config
A :class:`~probnmn.Config` object with all the relevant configuration parameters.
models: Dict[str, Type[nn.Module]]
All the models which interact with each other for evaluation. This should come from
:class:`~probnmn.trainers.joint_training_trainer.JointTrainingTrainer`.
gpu_ids: List[int], optional (default=[0])
List of GPU IDs to use or evaluation, ``[-1]`` - use CPU.
cpu_workers: int, optional (default = 0)
Number of CPU workers to use for fetching batch examples in dataloader.
Examples
--------
To evaluate a pre-trained checkpoint:
>>> config = Config("config.yaml") # PHASE must be "joint_training"
>>> trainer = JointTrainingTrainer(config, serialization_dir="/tmp")
>>> trainer.load_checkpoint("/path/to/joint_training_checkpoint.pth")
>>> evaluator = JointTrainingEvaluator(config, trainer.models)
>>> eval_metrics = evaluator.evaluate(num_batches=50)
"""
def __init__(
self,
config: Config,
models: Dict[str, Type[nn.Module]],
gpu_ids: List[int] = [0],
cpu_workers: int = 0,
):
self._C = config
if self._C.PHASE != "joint_training":
raise ValueError(
f"Trying to initialize a JointTrainingEvaluator, expected config PHASE to be "
f"joint_training, found {self._C.PHASE}"
)
# Initialize vocabulary, dataloader and model.
self._vocabulary = Vocabulary.from_files(self._C.DATA.VOCABULARY)
# There is no notion of "supervision" during evaluation.
dataset = JointTrainingDataset(self._C.DATA.VAL_TOKENS, self._C.DATA.VAL_FEATURES)
dataloader = DataLoader(
dataset, batch_size=self._C.OPTIM.BATCH_SIZE, num_workers=cpu_workers
)
super().__init__(config=config, dataloader=dataloader, models=models, gpu_ids=gpu_ids)
# These will be a part of `self._models`, keep these handles for convenience.
self._program_generator = self._models["program_generator"]
self._nmn = self._models["nmn"]
def _do_iteration(self, batch: Dict[str, Any]) -> Dict[str, Any]:
r"""
Perform one iteration, given a batch. Take a forward pass to accumulate metrics in
:class:`~probnmn.models.program_generator.ProgramGenerator` and
:class:`~probnmn.models.nmn.NeuralModulenetwork`.
Parameters
----------
batch: Dict[str, Any]
A batch of evaluation examples sampled from dataloader.
Returns
-------
Dict[str, Any]
A dictionary containing model predictions and/or batch validation losses of
:class:`~probnmn.models.program_generator.ProgramGenerator` and
:class:`~probnmn.models.nmn.NeuralModuleNetwork`. Nested dict structure::
{
"program_generator": {"predictions", "loss"}
"nmn": {"predictions", "loss"}
}
"""
pg_output_dict = self._program_generator(
batch["question"], batch["program"], decoding_strategy="greedy"
)
nmn_output_dict = self._nmn(batch["image"], pg_output_dict["predictions"], batch["answer"])
return {"program_generator": pg_output_dict, "nmn": nmn_output_dict}
| [
"[email protected]"
] | |
7336bec83d355a2555ec2164ee32ecb9b9c142b6 | a985e335ba516a8981e84d95a11355045bf65bd4 | /class_project/homepage/cached_templates/templates/about.html.py | 77eaa763644a94a66d83fe33935581722be6522a | [] | no_license | jacerm/IS413CHFProject | a392f331e84e2e50a702e6d9cbd8bc1dc097ddec | 256679b43ae4fae56bfff201a3b4c7ffbf343f35 | refs/heads/master | 2021-01-10T10:31:46.452702 | 2016-03-07T15:11:38 | 2016-03-07T15:11:38 | 50,360,088 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,794 | py | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
STOP_RENDERING = runtime.STOP_RENDERING
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1454635928.574405
_enable_loop = True
_template_filename = 'C:/source/class/IS413/class_project/class_project/homepage/templates/about.html'
_template_uri = 'about.html'
_source_encoding = 'utf-8'
import os, os.path, re, json
_exports = ['main', 'right_aside', 'content_head', 'left_aside']
def _mako_get_namespace(context, name):
try:
return context.namespaces[(__name__, name)]
except KeyError:
_mako_generate_namespaces(context)
return context.namespaces[(__name__, name)]
def _mako_generate_namespaces(context):
pass
def _mako_inherit(template, context):
_mako_generate_namespaces(context)
return runtime._inherit_from(context, 'app_base.htm', _template_uri)
def render_body(context,**pageargs):
__M_caller = context.caller_stack._push_frame()
try:
__M_locals = __M_dict_builtin(pageargs=pageargs)
def main():
return render_main(context._locals(__M_locals))
def right_aside():
return render_right_aside(context._locals(__M_locals))
def content_head():
return render_content_head(context._locals(__M_locals))
def left_aside():
return render_left_aside(context._locals(__M_locals))
__M_writer = context.writer()
__M_writer('s\r\n\r\n')
if 'parent' not in context._data or not hasattr(context._data['parent'], 'content_head'):
context['self'].content_head(**pageargs)
__M_writer('\r\n\r\n')
if 'parent' not in context._data or not hasattr(context._data['parent'], 'left_aside'):
context['self'].left_aside(**pageargs)
__M_writer('\r\n\r\n')
if 'parent' not in context._data or not hasattr(context._data['parent'], 'main'):
context['self'].main(**pageargs)
__M_writer('\r\n\r\n')
if 'parent' not in context._data or not hasattr(context._data['parent'], 'right_aside'):
context['self'].right_aside(**pageargs)
return ''
finally:
context.caller_stack._pop_frame()
def render_main(context,**pageargs):
__M_caller = context.caller_stack._push_frame()
try:
def main():
return render_main(context)
__M_writer = context.writer()
__M_writer('\r\n <div class="col-sm-12 center_divider">\r\n <h3>Information</h3>\r\n <p>The Colonial Heritage Foundation (the Foundation) is a 501(c)(3) corporation dedicated to the preservation of the values, culture, skills and history of America\'s founding. To accomplish this mission, the Foundation engages in a broad array of activities. Among these are the development and presentation of educational exhibits, the coordination of reading and discussion groups to encourage the study of America\'s historical writings, the presentation of lectures and seminars regarding America\'s founding era, the coordination of historical reenactments and skill demonstrations, and the coordination of internships and apprenticeships that teach the occupational skills of early America.</p>\r\n </div>\r\n')
return ''
finally:
context.caller_stack._pop_frame()
def render_right_aside(context,**pageargs):
__M_caller = context.caller_stack._push_frame()
try:
def right_aside():
return render_right_aside(context)
__M_writer = context.writer()
__M_writer('\r\n')
return ''
finally:
context.caller_stack._pop_frame()
def render_content_head(context,**pageargs):
__M_caller = context.caller_stack._push_frame()
try:
def content_head():
return render_content_head(context)
__M_writer = context.writer()
__M_writer('\r\n <div class="container text-center">\r\n <h3>About Page</h3>\r\n </div>\r\n')
return ''
finally:
context.caller_stack._pop_frame()
def render_left_aside(context,**pageargs):
__M_caller = context.caller_stack._push_frame()
try:
def left_aside():
return render_left_aside(context)
__M_writer = context.writer()
__M_writer('\r\n')
return ''
finally:
context.caller_stack._pop_frame()
"""
__M_BEGIN_METADATA
{"filename": "C:/source/class/IS413/class_project/class_project/homepage/templates/about.html", "line_map": {"96": 3, "66": 12, "102": 9, "72": 12, "41": 1, "108": 9, "78": 19, "114": 108, "51": 10, "84": 19, "46": 7, "56": 17, "90": 3, "28": 0}, "uri": "about.html", "source_encoding": "utf-8"}
__M_END_METADATA
"""
| [
"[email protected]"
] | |
6272c37f6da59e679cce3642f876a666f520c8bc | f9d564f1aa83eca45872dab7fbaa26dd48210d08 | /huaweicloud-sdk-bms/huaweicloudsdkbms/v1/model/server_os_scheduler_hints.py | 579c6914db427d4ce4b466ad9a6db9d1261a1232 | [
"Apache-2.0"
] | permissive | huaweicloud/huaweicloud-sdk-python-v3 | cde6d849ce5b1de05ac5ebfd6153f27803837d84 | f69344c1dadb79067746ddf9bfde4bddc18d5ecf | refs/heads/master | 2023-09-01T19:29:43.013318 | 2023-08-31T08:28:59 | 2023-08-31T08:28:59 | 262,207,814 | 103 | 44 | NOASSERTION | 2023-06-22T14:50:48 | 2020-05-08T02:28:43 | Python | UTF-8 | Python | false | false | 3,131 | py | # coding: utf-8
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class ServerOsSchedulerHints:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
sensitive_list = []
openapi_types = {
'group': 'list[str]'
}
attribute_map = {
'group': 'group'
}
def __init__(self, group=None):
"""ServerOsSchedulerHints
The model defined in huaweicloud sdk
:param group: 反亲和性组信息。 UUID格式。
:type group: list[str]
"""
self._group = None
self.discriminator = None
if group is not None:
self.group = group
@property
def group(self):
"""Gets the group of this ServerOsSchedulerHints.
反亲和性组信息。 UUID格式。
:return: The group of this ServerOsSchedulerHints.
:rtype: list[str]
"""
return self._group
@group.setter
def group(self, group):
"""Sets the group of this ServerOsSchedulerHints.
反亲和性组信息。 UUID格式。
:param group: The group of this ServerOsSchedulerHints.
:type group: list[str]
"""
self._group = group
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
if attr in self.sensitive_list:
result[attr] = "****"
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
import simplejson as json
if six.PY2:
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
def __repr__(self):
"""For `print`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ServerOsSchedulerHints):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| [
"[email protected]"
] | |
89250e1069fc42e0ed85caf67905a63377761723 | cc00a20367dce4a874e16fb61988322f92db4792 | /backend/goto_26148/settings.py | 9bde41410140d234d92c2bbf6a5de3696580bb4b | [] | no_license | crowdbotics-apps/goto-26148 | f98fd14e423250c9bb4018d63bb23b32724adfeb | c3d22bd7afd651cecc56aa1f6baafc4daed50bff | refs/heads/master | 2023-04-24T08:15:03.494844 | 2021-05-05T09:47:11 | 2021-05-05T09:47:11 | 364,528,494 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,185 | py | """
Django settings for goto_26148 project.
Generated by 'django-admin startproject' using Django 2.2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
import environ
import logging
env = environ.Env()
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = env.bool("DEBUG", default=False)
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = env.str("SECRET_KEY")
ALLOWED_HOSTS = env.list("HOST", default=["*"])
SITE_ID = 1
SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https")
SECURE_SSL_REDIRECT = env.bool("SECURE_REDIRECT", default=False)
# Application definition
INSTALLED_APPS = [
"django.contrib.admin",
"django.contrib.auth",
"django.contrib.contenttypes",
"django.contrib.sessions",
"django.contrib.messages",
"django.contrib.staticfiles",
"django.contrib.sites",
"delivery_order",
"driver",
"menu",
"delivery_user_profile",
]
LOCAL_APPS = [
"home",
"modules",
"users.apps.UsersConfig",
]
THIRD_PARTY_APPS = [
"rest_framework",
"rest_framework.authtoken",
"rest_auth",
"rest_auth.registration",
"bootstrap4",
"allauth",
"allauth.account",
"allauth.socialaccount",
"allauth.socialaccount.providers.google",
"django_extensions",
"drf_yasg",
"storages",
# start fcm_django push notifications
"fcm_django",
# end fcm_django push notifications
]
INSTALLED_APPS += LOCAL_APPS + THIRD_PARTY_APPS
MIDDLEWARE = [
"django.middleware.security.SecurityMiddleware",
"django.contrib.sessions.middleware.SessionMiddleware",
"django.middleware.common.CommonMiddleware",
"django.middleware.csrf.CsrfViewMiddleware",
"django.contrib.auth.middleware.AuthenticationMiddleware",
"django.contrib.messages.middleware.MessageMiddleware",
"django.middleware.clickjacking.XFrameOptionsMiddleware",
]
ROOT_URLCONF = "goto_26148.urls"
TEMPLATES = [
{
"BACKEND": "django.template.backends.django.DjangoTemplates",
"DIRS": [os.path.join(BASE_DIR, "web_build")],
"APP_DIRS": True,
"OPTIONS": {
"context_processors": [
"django.template.context_processors.debug",
"django.template.context_processors.request",
"django.contrib.auth.context_processors.auth",
"django.contrib.messages.context_processors.messages",
],
},
},
]
WSGI_APPLICATION = "goto_26148.wsgi.application"
# Database
# https://docs.djangoproject.com/en/2.2/ref/settings/#databases
DATABASES = {
"default": {
"ENGINE": "django.db.backends.sqlite3",
"NAME": os.path.join(BASE_DIR, "db.sqlite3"),
}
}
if env.str("DATABASE_URL", default=None):
DATABASES = {"default": env.db()}
# Password validation
# https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
"NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator",
},
{
"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator",
},
{
"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator",
},
{
"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator",
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.2/topics/i18n/
LANGUAGE_CODE = "en-us"
TIME_ZONE = "UTC"
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.2/howto/static-files/
STATIC_URL = "/static/"
MIDDLEWARE += ["whitenoise.middleware.WhiteNoiseMiddleware"]
AUTHENTICATION_BACKENDS = (
"django.contrib.auth.backends.ModelBackend",
"allauth.account.auth_backends.AuthenticationBackend",
)
STATIC_ROOT = os.path.join(BASE_DIR, "staticfiles")
STATICFILES_DIRS = [
os.path.join(BASE_DIR, "static"),
os.path.join(BASE_DIR, "web_build/static"),
]
STATICFILES_STORAGE = "whitenoise.storage.CompressedManifestStaticFilesStorage"
# allauth / users
ACCOUNT_EMAIL_REQUIRED = True
ACCOUNT_AUTHENTICATION_METHOD = "email"
ACCOUNT_USERNAME_REQUIRED = False
ACCOUNT_EMAIL_VERIFICATION = "optional"
ACCOUNT_CONFIRM_EMAIL_ON_GET = True
ACCOUNT_LOGIN_ON_EMAIL_CONFIRMATION = True
ACCOUNT_UNIQUE_EMAIL = True
LOGIN_REDIRECT_URL = "users:redirect"
ACCOUNT_ADAPTER = "users.adapters.AccountAdapter"
SOCIALACCOUNT_ADAPTER = "users.adapters.SocialAccountAdapter"
ACCOUNT_ALLOW_REGISTRATION = env.bool("ACCOUNT_ALLOW_REGISTRATION", True)
SOCIALACCOUNT_ALLOW_REGISTRATION = env.bool("SOCIALACCOUNT_ALLOW_REGISTRATION", True)
REST_AUTH_SERIALIZERS = {
# Replace password reset serializer to fix 500 error
"PASSWORD_RESET_SERIALIZER": "home.api.v1.serializers.PasswordSerializer",
}
REST_AUTH_REGISTER_SERIALIZERS = {
# Use custom serializer that has no username and matches web signup
"REGISTER_SERIALIZER": "home.api.v1.serializers.SignupSerializer",
}
# Custom user model
AUTH_USER_MODEL = "users.User"
EMAIL_HOST = env.str("EMAIL_HOST", "smtp.sendgrid.net")
EMAIL_HOST_USER = env.str("SENDGRID_USERNAME", "")
EMAIL_HOST_PASSWORD = env.str("SENDGRID_PASSWORD", "")
EMAIL_PORT = 587
EMAIL_USE_TLS = True
# AWS S3 config
AWS_ACCESS_KEY_ID = env.str("AWS_ACCESS_KEY_ID", "")
AWS_SECRET_ACCESS_KEY = env.str("AWS_SECRET_ACCESS_KEY", "")
AWS_STORAGE_BUCKET_NAME = env.str("AWS_STORAGE_BUCKET_NAME", "")
AWS_STORAGE_REGION = env.str("AWS_STORAGE_REGION", "")
USE_S3 = (
AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
and AWS_STORAGE_BUCKET_NAME
and AWS_STORAGE_REGION
)
if USE_S3:
AWS_S3_CUSTOM_DOMAIN = env.str("AWS_S3_CUSTOM_DOMAIN", "")
AWS_S3_OBJECT_PARAMETERS = {"CacheControl": "max-age=86400"}
AWS_DEFAULT_ACL = env.str("AWS_DEFAULT_ACL", "public-read")
AWS_MEDIA_LOCATION = env.str("AWS_MEDIA_LOCATION", "media")
AWS_AUTO_CREATE_BUCKET = env.bool("AWS_AUTO_CREATE_BUCKET", True)
DEFAULT_FILE_STORAGE = env.str(
"DEFAULT_FILE_STORAGE", "home.storage_backends.MediaStorage"
)
MEDIA_URL = "/mediafiles/"
MEDIA_ROOT = os.path.join(BASE_DIR, "mediafiles")
# start fcm_django push notifications
FCM_DJANGO_SETTINGS = {"FCM_SERVER_KEY": env.str("FCM_SERVER_KEY", "")}
# end fcm_django push notifications
# Swagger settings for api docs
SWAGGER_SETTINGS = {
"DEFAULT_INFO": f"{ROOT_URLCONF}.api_info",
}
if DEBUG or not (EMAIL_HOST_USER and EMAIL_HOST_PASSWORD):
# output email to console instead of sending
if not DEBUG:
logging.warning(
"You should setup `SENDGRID_USERNAME` and `SENDGRID_PASSWORD` env vars to send emails."
)
EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"
| [
"[email protected]"
] | |
8fb0bf98600c1381d10f34262757f2e44f563665 | a1a7d221c3ba95ff13a12ea06cc1b3cf6ad71536 | /Ising Model/Python Module/ising model - animation.py | 7d7bfeb65f86a0f59a073f0ad8ae9e3e56af3438 | [] | no_license | nshettell/Lattice-Fundamentals | 0b4fc017a04d15f608dd87b173ecd2afbcc654ad | 4fcc0149549d371cf4bfef6e100c03e34f842c3a | refs/heads/master | 2016-08-04T10:32:43.793014 | 2013-01-30T15:19:40 | 2013-01-30T15:19:40 | 7,488,967 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,918 | py | class Sphere_C:
def __init__(self,spin,pos,trans_factor):
self.colour='Red' if spin==1 else 'Blue'
self.trans=trans_factor
self.i=pos[0]
self.j=pos[1]
self.k=pos[2]
def msg(self):
return """sphere {<%d,%d,%d>, 0.25
texture{pigment{color %s} finish{phong 1}}
transmit %f}
""" %(self.i,self.j,self.k,self.colour,self.trans)
################################################################################
class Arrow:
def __init__(self,spin,pos,trans_factor):
self.rotate='<45,-45,0>' if spin==1 else '<-45,135,0>'
self.trans=trans_factor
self.i=pos[0]
self.j=pos[1]
self.k=pos[2]
def msg(self):
return """union {
cylinder{
<0,0,0.25>,<0,0,-0.25>,0.17
texture{pigment{color Green} finish{phong 1}}}
cone{
<0,0,-0.25>, 0.28
<0,0,-0.5>, 0
texture{pigment{color Green} finish{phong 1}}}
rotate %s
transmit %f
translate <%d,%d,%d>}
""" %(self.rotate,self.trans,self.i,self.j,self.k)
################################################################################
class Arrow_C:
def __init__(self,spin,pos,trans_factor):
self.rotate='<45,-45,0>' if spin==1 else '<-45,135,0>'
self.colour='Red' if spin==1 else 'Blue'
self.trans=trans_factor
self.i=pos[0]
self.j=pos[1]
self.k=pos[2]
def msg(self):
return """union {
cylinder{
<0,0,0.25>,<0,0,-0.25>,0.17
texture{pigment{color %s} finish{phong 1}}}
cone{
<0,0,-0.25>, 0.28
<0,0,-0.5>, 0
texture{pigment{color %s} finish{phong 1}}}
rotate %s
transmit %f
translate <%d,%d,%d>}
""" %(self.colour,self.colour,self.rotate,self.trans,self.i,self.j,self.k)
################################################################################
################################################################################
def resolutions():
R=[[128,128],[160,120],[320,200],[320,240],[512,384],[640,480],[800,600],[1024,768],[1280,1024],[1600,1200]]
print "The possible resolutions are:"
for r in R:
print "%dx%d" %(r[0],r[1])
################################################################################
def _ini_creator(res,image,frames,filename):
if image=="jpeg":
code="J"
elif image=="png":
code="N"
else:
code="B"
return """
;POV-Ray animation ini file
;Visual Representation of an Ising model Square Lattice
;Version 1.2
;Author: Nathan Shettell
Antialias=Off
Antialias_Threshold=0.1
Antialias_Depth=2
Display=Off
+W%d
+H%d
Input_File_Name='%s'
Output_File_Type=%s
Initial_Frame=1
Final_Frame=%d
Initial_Clock=0
Final_Clock=1
Cyclic_Animation=on
Pause_when_Done=off
""" %(res[0],res[1],filename,code,frames)
################################################################################
def _pov_creator(axis,offset,Lx,Ly,Lz):
if axis=='x':
if offset=='none':
loc="<%f,%f,%f>" %(-max(Ly,Lz),0.5*Ly,0.5*Lz)
elif offset=='small':
loc="<%f,%f,%f>" %(-max(Ly,Lz),0.8*Ly,0.8*Lz)
else:
loc="<%f,%f,%f>" %(-1.5*max(Ly,Lz),1.2*Ly,1.2*Lz)
elif axis=='y':
if offset=='none':
loc="<%f,%f,%f>" %(0.5*Lx,-max(Lx,Lz),0.5*Lz)
elif offset=='small':
loc="<%f,%f,%f>" %(0.8*Lx,-max(Lx,Lz),0.8*Lz)
else:
loc="<%f,%f,%f>" %(1.2*Lx,-1.5*max(Lx,Lz),1.2*Lz)
elif axis=='z':
if offset=='none':
loc="<%f,%f,%f>" %(0.5*Lx,0.5*Ly,-max(Lx,Ly))
elif offset=='small':
loc="<%f,%f,%f>" %(0.8*Lx,0.8*Ly,-max(Lx,Ly))
else:
loc="<%f,%f,%f>" %(1.2*Lx,1.2*Ly,-1.6*max(Lx,Ly))
look="<%f,%f,%f>" %(0.5*Lx,0.5*Ly,0.5*Lz)
return """
//Visual Representation of an Ising model Square Lattice
//Version 1.2
//Author: Nathan Shettell
#include "shapes.inc"
#include "textures.inc"
#include "colors.inc"
global_settings { assumed_gamma 1}
camera {
location %s
look_at %s}
background {rgb <1,1,1>}
""" %(loc,look)
################################################################################
def start(file_info,file_out,res=[640,480]):
"""
Version 1.2
This function must intake 2 parameter:
file_info: The name of the file the information is found on.
All of the following lines should contain information about the spin objects at certain
positions in the Lattice. After the script has encountered enough spin objects to fill the
lattice it will assume the rest of the objects belong on following frames.
file_out: The desired file name used to render the image.
Should be of the form .ini. All associated files will be created with the same
name but with varying extensions.
The optional parameter determines the resolution of the images created. The default is 640x480.
To view the other options please call the function: resolutions().
It must be entered in the form: [W,H]. Where W and H are integers (image witdth and height)
when the different resolutions are printed they are in the form WxH.
If a valid resolution is not entered, the default will be used.
"""
#Gather information about the lattice size
while True:
try:
Lx=raw_input("Please enter the size of the lattice in the x-direction (a positive integer): ")
Lx=int(Lx)
if Lx<=0:
print "That was not a valid entry, please try again"
else:
break
except ValueError:
print "That was not a valid entry, please try again"
while True:
try:
Ly=raw_input("Please enter the size of the lattice in the y-direction (a positive integer): ")
Ly=int(Ly)
if Ly<=0:
print "That was not a valid entry, please try again"
else:
break
except ValueError:
print "That was not a valid entry, please try again"
while True:
try:
Lz=raw_input("Please enter the size of the lattice in the z-direction (a positive integer): ")
Lz=int(Lz)
if Lz<=0:
print "That was not a valid entry, please try again"
else:
break
except ValueError:
print "That was not a valid entry, please try again"
#The files which will be accessed during the script
f_i=open(file_info,'r')
ini=open(file_out,'w')
pov=open(file_out[:-4]+'.pov','w')
Lattice={(i,j,k):[] for i in range(Lx) for j in range(Ly) for k in range(Lz)}
#Note:
#Lattice is a dictionary where (i,j) will represent the location of the object on the lattice
#And the value will represent a list of all spins at that location.
counter=0 #A counter to determine how many frames are needed
info=filter(lambda i: i!='\n', f_i.readlines())
info=[i.split() for i in info]
j,k=0,0
for spins in info:
if j==Ly:
j=0
k+=1
if k==Lz:
k=0
counter+=1
i=0
for spin in spins:
Lattice[(i,j,k)]+=[int(spin)]
i+=1
j+=1
counter+=1 #Doesn't update the last frame
#After the for-loop has finished running all of the data has been analyzed
#Hence the information file can be closed:
f_i.close()
#Gather more information:
print """
This program will now gather information on how you would like to view the lattice.
Note: user input is case sensative.
The first option allows the viewer to choose whether they want the camera to look at the center
with an offset angle from 0 degrees. The available options are: none, small, large.
The second option allows the user to choose what axis the camera should be located. The options
are: x, y, z. For example, if it was a 2D lattice, the best option would be the z axis.\
The third option allows the user to choose the file type of the images created. The options
are: jpeg, png, bmp.
The fourth option allows the user to choose the method which the data is represented. The
options are: colours, arrows, arrows+colours.
The fifth option allows the user to choose whether or not some objects appear transparent or not,
if yes then the objects at the front will appear transparent. The options are: yes, no.
"""
while True:
offset=raw_input("Please enter the offset value: ")
if offset!='none' and offset!='small' and offset!='large':
print "You did not input an available option, please enter: none, small or large."
else:
break
while True:
cam=raw_input("Please enter the camera-axis value: ")
if cam!='x' and cam!='y' and cam!='z':
print "You did not input an available option, please enter: x, y or z."
else:
break
while True:
image=raw_input("Please enter the desired image type: ")
if image!='jpeg' and image!='png' and image!='bmp':
print "You did not input an available option, please enter: jpeg, png or bmp."
else:
break
while True:
rep=raw_input("Please enter the desired representation type: ")
if rep!='colours' and rep!='arrows' and rep!='arrows+colours':
print "You did not input an available option, please enter: colours, arrows or arrows+colours."
else:
break
while True:
trans=raw_input("Please enter if transparency is wanted: ")
if trans!='yes' and trans!='no':
print "You did not input an available option, please enter: yes or no."
else:
break
resolutions=[[128,128],[160,120],[320,200],[320,240],[512,384],[640,480],[800,600],[1024,768],[1280,1024],[1600,1200]]
if res not in resolutions:
res=[640,480]
ini.write(_ini_creator(res,image,counter,file_out[:-4]+'.pov'))
ini.close()
pov.write(_pov_creator(cam,offset,Lx,Ly,Lz))
#Add the sphapes to the image
frame=1
while frame<=counter:
pov.write("#if (frame_number = %d)\n" %(frame))
for pos in Lattice:
if trans=="yes" and cam=='x' and Lx>1:
t_factor=0.5-pos[0]*0.5/Lx
elif trans=="yes" and cam=='y' and Ly>1:
t_factor=0.5-pos[1]*0.5/Ly
elif trans=="yes" and cam=='z' and Lz>1:
t_factor=0.5-pos[2]*0.5/Lz
else:
t_factor=0
if rep=='colours':
temp=Sphere_C(Lattice[pos][frame-1],(pos[0],pos[1],pos[2]),t_factor)
pov.write(temp.msg())
elif rep=='arrows':
temp=Arrow(Lattice[pos][frame-1],(pos[0],pos[1],pos[2]),t_factor)
pov.write(temp.msg())
else:
temp=Arrow_C(Lattice[pos][frame-1],(pos[0],pos[1],pos[2]),t_factor)
pov.write(temp.msg())
pov.write("#end\n")
frame+=1
#Adds the cylinders ('bonds') to the image
Bx=[(i,j,k) for i in range(Lx-1) for j in range(Ly) for k in range(Lz)]
By=[(i,j,k) for i in range(Lx) for j in range(Ly-1) for k in range(Lz)]
Bz=[(i,j,k) for i in range(Lx) for j in range(Ly) for k in range(Lz-1)]
for bond in Bx:
i=bond[0]
j=bond[1]
k=bond[2]
s="cylinder{<%d,%d,%d>,<%d,%d,%d>,0.07 texture{pigment{color NewTan} finish{phong 1}}}\n" %(i,j,k,i+1,j,k)
pov.write(s)
for bond in By:
i=bond[0]
j=bond[1]
k=bond[2]
s="cylinder{<%d,%d,%d>,<%d,%d,%d>,0.07 texture{pigment{color NewTan} finish{phong 1}}}\n" %(i,j,k,i,j+1,k)
pov.write(s)
for bond in Bz:
i=bond[0]
j=bond[1]
k=bond[2]
s="cylinder{<%d,%d,%d>,<%d,%d,%d>,0.07 texture{pigment{color NewTan} finish{phong 1}}}\n" %(i,j,k,i,j,k+1)
pov.write(s)
pov.close() | [
"[email protected]"
] | |
81347f9541848685530816c9c8e219f8e7efe407 | 7361ee0129351b8bb594b7a7bb47c143de84dd36 | /1911.py | ffc13a51c5dc193fb77a0e1bfdc2509570e3c33c | [] | no_license | antonioroddev/Uri | 5d22c3ba3e01977674874cc4d1ad38ecb8be1ee9 | 12e7c447e79db71ff13587de0079d0a5bcdac218 | refs/heads/master | 2022-05-22T12:03:33.717084 | 2022-04-14T01:52:26 | 2022-04-14T01:52:26 | 216,880,192 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 514 | py | while True:
n = int(input())
if n == 0:
break
dicionario = {}
for i in range(n):
lista = input().split()
dicionario.update({lista[0]:lista[1]})
contador = 0
alunos = int(input())
for i in range(alunos):
lista = input().split()
erros = 0
for i in range (len(dicionario[lista[0]])):
if dicionario[lista[0]][i] != lista[1][i]:
erros += 1
if erros >= 2:
contador += 1
print(contador) | [
"[email protected]"
] | |
e0aec676dc3d38a1ac50e212dfa17fc84d953d96 | 23240c2ab58e40becdbc327b683504314579c0ef | /tools/syll_count.py | 59d6448ca6dfe636863c8fc66bf3f5ca53b3e396 | [] | no_license | dean-shaff/poems | 7f8145884f1cc8cfa08369c3594f8902f80d8e51 | 893e24929cd9c1cb9f9e2dfd9eb760902b9f8076 | refs/heads/master | 2016-09-06T11:47:37.947778 | 2015-03-10T20:34:19 | 2015-03-10T20:34:19 | 23,531,052 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,925,222 | py | syll_dic = {
"a cappella":4,
"a fortiori":5,
"a gogo":3,
"a posteriori":6,
"a priori":4,
"a tempo":3,
"a-plenty":2,
"aalborg":2,
"aalto":2,
"aardvark":2,
"aardwolf":2,
"aarau":2,
"aargau":2,
"aarhus":2,
"aaron":2,
"aaronitic":4,
"aachen":2,
"aalesund":3,
"aalii":3,
"aaron":2,
"aaron's beard":3,
"aaron's rod":3,
"aaron's-beard":2,
"aaronic":3,
"aaronite":3,
"aaronical":4,
"ab initio":5,
"ab ovo":3,
"abb":1,
"abbevillian":4,
"abbevilean":4,
"abbr":1,
"abbrev":1,
"abd-al-kadir":2,
"abd-al-rahman":2,
"abd-el-kadir":2,
"abl":1,
"abp":1,
"abr":1,
"absinth":1,
"aba":2,
"abactinal":4,
"abamp":2,
"abampere":3,
"abaptiston":4,
"abattis":3,
"abattoir":3,
"abaxial":4,
"abaca":3,
"abaci":3,
"abacist":3,
"abacisci":4,
"abaciscus":4,
"abaco":3,
"abacus":3,
"abacuses":4,
"abadan":3,
"abalone":4,
"abaris":3,
"abatis":3,
"abb":2,
"abba":2,
"abba":2,
"abbai":2,
"abbasid":3,
"abbassid":3,
"abbasside":3,
"abbacy":3,
"abbatial":3,
"abbe":2,
"abbess":2,
"abbey":2,
"abbey":2,
"abbey theatre":5,
"abbeystead":3,
"abbeystede":3,
"abbeville":3,
"abbie":2,
"abbot":2,
"abbot":2,
"abbotsford":3,
"abbott":2,
"abbotcy":3,
"abbotship":3,
"abboud":2,
"abbreviate":4,
"abbreviated":5,
"abbreviating":5,
"abbreviation":5,
"abbreviator":5,
"abby":2,
"abb":3,
"abbs":3,
"abcoulomb":3,
"abderhalden":4,
"abderus":3,
"abdias":3,
"abdicant":3,
"abdicate":3,
"abdicated":4,
"abdicating":4,
"abdicable":4,
"abdication":4,
"abdicative":4,
"abdicator":4,
"abdominal":4,
"abdominally":5,
"abdominous":4,
"abdon":2,
"abdomen":3,
"abduce":2,
"abduced":2,
"abduct":2,
"abducing":3,
"abduction":3,
"abductor":3,
"abdul-aziz":3,
"abdul-hamid ii":4,
"abducens":3,
"abducens nerve":4,
"abducent":3,
"abducentes":4,
"abercrombie":4,
"aberdare":3,
"aberdeen":3,
"aberdeen angus":5,
"aberdeenshire":4,
"aberdonian":5,
"abernethy":4,
"aberrance":3,
"aberrant":3,
"aberrancy":4,
"aberration":4,
"aberrational":5,
"aberystwyth":4,
"abesse":3,
"abessive":3,
"abelard":3,
"abeokuta":5,
"abfarad":3,
"abgatha":3,
"abhenry":3,
"abhominable":5,
"abhor":2,
"abhorred":2,
"abhorrence":3,
"abhorrent":3,
"abhorrently":4,
"abhorrer":3,
"abhorring":3,
"abingdon":3,
"abingger":3,
"abington":3,
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"zoning":2,
"zonian":3,
"zonule":2,
"zonular":3,
"zoo":1,
"zool":1,
"zoom":1,
"zooty":2,
"zorn":1,
"zoril":2,
"zoroaster":4,
"zoster":2,
"zosteria":4,
"zoug":1,
"zounds":1,
"zouave":2,
"zowie":2,
"zoysia":3,
"zoa":2,
"zoaea":3,
"zoan":2,
"zoanthropy":4,
"zoar":2,
"zodiac":3,
"zodiacal":4,
"zodiacal constellation":8,
"zodiacal light":5,
"zoe":2,
"zoea":3,
"zoetrope":3,
"zogan":2,
"zohar":2,
"zola":2,
"zona":2,
"zonated":3,
"zonation":3,
"zonite":2,
"zoographer":4,
"zoography":4,
"zooid":2,
"zoolater":4,
"zoolatrous":4,
"zoolatry":4,
"zoologist":4,
"zoology":4,
"zoometry":4,
"zoon":2,
"zoonal":3,
"zoonosis":4,
"zoophagous":4,
"zoophilism":4,
"zoophilous":4,
"zoophobous":4,
"zoophori":4,
"zoophorus":4,
"zoosterol":4,
"zootomist":4,
"zootomy":4,
"zoochemistry":5,
"zoochemical":5,
"zoochore":3,
"zoogeography":6,
"zoogeographically":8,
"zoogleal":4,
"zoogloea":4,
"zoogloeal":4,
"zoografting":4,
"zoographic":4,
"zoologic":4,
"zoological":5,
"zoological garden":7,
"zoologically":6,
"zoometric":4,
"zoomorph":3,
"zoomorphic":4,
"zoomorphism":4,
"zoophile":3,
"zoophilic":4,
"zoophilia":5,
"zoophoric":4,
"zoophobia":5,
"zoophyte":3,
"zooplankton":4,
"zooplastic":4,
"zooplasty":4,
"zoosperm":3,
"zoospermatic":5,
"zoospore":3,
"zoosporangia":6,
"zoosporangial":6,
"zoosporangium":6,
"zootechnics":4,
"zootomic":4,
"zootomically":6,
"zootoxin":4,
"zophar":2,
"zophori":3,
"zophorus":3,
"zori":2,
"zorille":2,
"zorilla":3,
"zorilo":3,
"zorobabel":4,
"zoroaster":4,
"zoroastrism":4,
"zoroastrian":5,
"zoroastrianism":6,
"zoser":2,
"zosimus":3,
"zo":3,
"zographer":5,
"zography":5,
"zolater":5,
"zolatrous":5,
"zologist":5,
"zology":5,
"zometry":5,
"zonal":4,
"zonosis":5,
"zophilous":5,
"zophobous":5,
"zotomist":5,
"zotomy":5,
"zochemistry":6,
"zochemical":6,
"zochore":4,
"zogeographically":9,
"zogleal":5,
"zogloea":5,
"zogloeal":5,
"zografting":5,
"zographic":5,
"zologic":5,
"zological":6,
"zologically":7,
"zometric":5,
"zomorph":4,
"zomorphic":5,
"zophilic":5,
"zophoric":5,
"zophobia":6,
"zoplankton":5,
"zoplastic":5,
"zoplasty":5,
"zosperm":4,
"zospermatic":6,
"zospore":4,
"zosporangial":7,
"zosporangium":7,
"zotomic":5,
"zotomically":7,
"zotoxin":5,
"zpg":1,
"zsigmondy":3,
"zu'lkadah":3,
"zuccari":3,
"zucchetto":3,
"zucchini":3,
"zucchius":3,
"zug":1,
"zugzwang":2,
"zuidholland":3,
"zuider zee":3,
"zungaria":4,
"zungaria":4,
"zunyite":2,
"zurbar":3,
"zurbarn":4,
"zurv":2,
"zuyder zee":3,
"zuleika":3,
"zuloaga":4,
"zulu":2,
"zululand":3,
"zupus":2,
"zurich":2,
"zui":3,
"zuian":4,
"zweig":1,
"zwickau":2,
"zwicky":2,
"zwieback":2,
"zwingli":2,
"zwinglian":3,
"zwitter-ion":3,
"zwitterion":4,
"zwitterionic":5,
"zwolle":2,
"zworykin":3,
"zygapophyseal":6,
"zygapophysial":6,
"zygapophysis":5,
"zyrian":3,
"zygopteran":4,
"zygose":2,
"zygote":2,
"zygotic":3,
"zygotically":5,
"zygodactyl":4,
"zygogenetic":5,
"zygoma":3,
"zygomatic":4,
"zygomatic arch":5,
"zygomatic bone":5,
"zygomatic process":6,
"zygomata":4,
"zygomorphic":4,
"zygomorphous":4,
"zygophore":3,
"zygophoric":4,
"zygophyllaceous":5,
"zygophyte":3,
"zygosis":3,
"zygospore":3,
"zygotene":3,
"zymase":2,
"zymologist":4,
"zymology":4,
"zymolysis":4,
"zymometer":4,
"zymosthenic":4,
"zymotic":3,
"zymogen":3,
"zymogenesis":5,
"zymogenic":4,
"zymologic":4,
"zymolytic":4,
"zymoplastic":4,
"zymosis":3,
"zymurgy":3,
"zollner":2,
"zurich":2,
} | [
"[email protected]"
] | |
fe979f740cc178201e674f7bb9358c66f0ea3398 | 3078ede78078c5d6de562414cd9a823d4455ab5c | /py/examples/slug_comp.py | 0885ad0df3f2a4b778567a182aaccf128b2b12cc | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | mifumagalli/cluster-cloc | b9293a4965c6da4ca6fa906627b4e7c02ed94c9f | e27f3fe095ec5e1a6e892e1681fae7b728cbad56 | refs/heads/master | 2021-01-10T06:36:23.467175 | 2015-12-02T18:17:43 | 2015-12-02T18:17:43 | 47,247,998 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,556 | py | import fall_cpp_wrapper as fcw
import numpy as np
import parse as p
import matplotlib.pyplot as plt
from matplotlib import rc
def qpow(min1, max1, slope, q):
return (q*(max1**(slope+1) - min1**(slope+1)) + min1**(slope+1))**(1./(slope+1))
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
## for Palatino and other serif fonts use:
#rc('font',**{'family':'serif','serif':['Palatino']})
rc('text', usetex=True)
sfr=[-2, -3, -1]
files=["sfrm2.txt", "sfrm3.txt","sfrm1.txt"]
i=0
#the same for all sfrs
fcs = 1e6*np.log(10)/(1e8-1e7)
#fcs2 = fcs*1611.81/qpow(100,1e9, -2., 0.6)
#multilpy by 6 looks good
#fcw.fall_cpp_wrapper(t0=0, t1=0.01, age_slope=-0.99,\
# obs_err=0.01, f_c=fcs, grid_out="slug_comp_rere.dat",\
# length=1e9,\
# sfr_err=0.01, step=0.125/4, mmin=100, mmax=1e9)
#afcw.fall_cpp_wrapper(t0=0, t1=0.01, age_slope=-0.99,\
## obs_err=0.01, f_c=fcs2, grid_out="slug_comp.dat",\
# length=1e9, mmin=100,mmax=1e9\
# sfr_err=0.01, step=0.125/4)
fcw.fall_cpp_wrapper(t0=0, t1=0.01, age_slope=-0.99,\
obs_err=0.01, f_c=fcs, grid_out="slug_comp.dat",\
length=1e8,\
gamma_min = 2.438e19, sfr_err=0.01, step=0.125/4)
#fcs2 = 1e6*np.log(1000)/(1e9-1e8)
#fcw.fall_cpp_wrapper(t0=0, t1=0.01, age_slope=-0.99,\
# obs_err=0.01, f_c=fcs2, grid_out="slug_comp.dat",\
## length=1e9,\
# sfr_err=0.01, step=0.125/4)
out,table = p.sfrl1_parse('slug_comp.dat')
#out2,table2 = p.sfrl1_parse('slug_comp2.dat')
#get names of tags
#out.dtype.names
sfrs = out.sfr_x
x = out.x
#get the sfr closest to \log sfr = -2
for i in xrange(3):
index = np.argmin(abs(out.sfr_x -sfr[i]))
this_pdf = table[index]
#this_pdf2 = table2[index]
print sfrs[index]
plt.plot(p.ln2mv(x), p.ln2mvpdf(this_pdf), lw=3, color='blue', label='CLOC')
#plt.plot(p.ln2mv(x), p.ln2mvpdf(this_pdf), lw=3, color='blue', label="Corrected")
plt.xlim([-1,-18])
f=open(files[i], 'r')
slug = np.array(f.read().split("\n"))
slug=slug[0:-1]
slug = slug.astype(float)
plt.hist(slug, normed=True, bins=40, histtype="stepfilled", color='grey',\
edgecolor='none')
plt.xlabel(r"$M_V$")
plt.ylabel(r"$p(M_V)$")
plt.title(r"$\log_{10} \textrm{SFR} = "+repr(sfr[i])+"$")
plt.legend(prop={'size':14}, frameon=False)
plt.show()
plt.savefig("slugcomp"+repr(i)+".eps")
plt.clf()
| [
"rdasilva.astro@d8247fcc-7651-9239-f1d7-4a1c92cfa542"
] | rdasilva.astro@d8247fcc-7651-9239-f1d7-4a1c92cfa542 |
b26aaa6504631090d0c9245c4ff0ffed404bc23a | c819942ea78169d970c78da592bf00753b39414b | /reverse-string/reverse_string.py | c46d8e9642f27e5bdecc903b603f85d26a4d97a7 | [] | no_license | j2towers/exercism.io-python | 587915e7f6bcb9d1e64fb191383b8900df409c1c | 2feb62a2222595be78cfed998814f227592f6f8c | refs/heads/master | 2021-01-18T21:02:45.524672 | 2018-01-10T03:20:04 | 2018-01-10T03:20:04 | 87,003,864 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 88 | py | def reverse(stringin):
stringout = "".join(reversed(stringin))
return stringout
| [
"[email protected]"
] | |
5a85c85ecd237edd8ec5678cfb52c41474986a43 | 5c060ad45d92cbf5e954f5b15ff438d289139e82 | /conditionals.py | 35fadf09a84a9989e33073c6e00d8950290dc765 | [] | no_license | Solstice-Designs/Python_Starter-Kit | 33c1670868268ba3bd9c9654ebdd453e6e0ebafa | 38244dde87b434385070ea7d0fbc5128c824c2c8 | refs/heads/master | 2020-06-29T14:27:55.391979 | 2019-08-06T05:50:04 | 2019-08-06T05:50:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,308 | py | # If/ Else conditions are used to decide to do something based on something being true or false
x = 9
y = 10
# Comparison Operators (==, !=, >, <, >=, <=) - Used to compare values
if x > y:
print(f'{x} is greater than {y}')
elif x==y:
print(f'{x} is equal to {y}')
else:
print(f'{y} is greater than {x}')
# Nested if
#if x > 2:
#if x <= 10:
#print(f'{x} is greater than 2 and less than or equal to 10')
# Logical operators (and, or, not) - Used to combine conditional statements
# AND
if x > 2 and x <= 10:
print(f'{x} is greater than 2 and less than or equal to 10')
# OR
if x > 2 or x <= 10:
print(f'{x} is greater than 2 and less than or equal to 10')
# NOT
if not(x==y):
print(f'{x} is not equal to {y}')
# Membership Operators (not, not in) - Membership operators are used to test if a sequence is presented in an object
# IN
numbers = [1,2,3,4,5]
if x in numbers:
print(f'{x} IS included in the number list')
# NOT IN
if x not in numbers:
print(f'{x} IS NOT in the number list')
# Identity Operators (is, is not) - Compare the objects, not if they are equal, but if they are actually the same object, with the same memory location:
if x is y:
print('You have won the lottery')
if x is not y:
print('You have not won the lottery :(') | [
"[email protected]"
] | |
f510c70be04b24f2256a76644f59b838bc1a85fe | 961362271cbb7a8dd41ec97e87685d81217fc4b0 | /video_client.py | 76301d01881b47483229655bf7c224df1b0e2424 | [] | no_license | MaxAndrewNZ/Landrov | 6b0ddaf1561eaf0508831372337ed50b4b02d2eb | f5ceac0f99393bfe31521938a6440f6584693ea3 | refs/heads/master | 2022-12-04T09:50:52.637924 | 2020-08-09T04:16:08 | 2020-08-09T04:16:08 | 286,156,699 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 828 | py | # vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
import cv2,time,zmq
import numpy as np
port = "5557"
context = zmq.Context()
socket = context.socket(zmq.SUB)
socket.connect("tcp://192.168.8.106:%s" % port)
socket.setsockopt(zmq.SUBSCRIBE,b'rgbimage')
socket.setsockopt(zmq.SUBSCRIBE,b'depthimage')
print('connected to landrov server')
while 1:
k=cv2.waitKey(1)
if k!=-1:
if k == 27 or k == ord('q'):
break
if socket.poll(0.001):
topic,buf = socket.recv_multipart()
if topic == b'rgbimage':
img = cv2.imdecode(np.fromstring(buf, dtype=np.uint8),cv2.IMREAD_COLOR)
cv2.imshow('img',img)
if topic == b'depthimage':
img = cv2.imdecode(np.fromstring(buf, dtype=np.uint8),cv2.IMREAD_GRAYSCALE)
cv2.imshow('imgd',img)
| [
"[email protected]"
] | |
e05f08d4d9a1d54c2b44c1d6291fadb230560087 | 2d76ed476fe8a52f99ffbc03028a4966085ba070 | /apps/user_manage/apps.py | 75e4c26470e94c9ed733e12d85b02b51e435ed5b | [] | no_license | blink07/shop_admin | 39b9df42ada47bb978e7171bd172ac9dfc6e97bb | 5ea3f978d0065f4e54842fddbe8c64c647cc7af8 | refs/heads/main | 2023-06-23T01:13:44.700955 | 2021-07-20T06:06:00 | 2021-07-20T06:06:00 | 284,709,912 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | from django.apps import AppConfig
class UserManageConfig(AppConfig):
name = 'user_manage'
def ready(self):
import user_manage.signals
| [
"[email protected]"
] | |
6b3f8144479402366cc5be6793e13674c2358914 | c3a2dd90b27e837535d8bcd11204b7e68a4774af | /problem__solver.py | 71d7a4c20f010c9935c13bd7cfbc45bdbfd5177f | [] | no_license | ironicrobo/Project_Test_1 | d37e336b0f9e39b1150cb0bda64ddcfdfd9ef2ce | 226fa9c488dc9409c379048d32cb44dc7875943a | refs/heads/master | 2022-12-08T08:01:11.859007 | 2020-09-06T14:45:42 | 2020-09-06T14:45:42 | 293,113,928 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 41 | py | print("hello world")
print("hello there") | [
"[email protected]"
] | |
e95f46cc5e2b4f28036c15eaf2d89ae4967cd59b | b2545b41a6d41f4f7907045e0935f55418ed4858 | /tests/conftest.py | 4228ec88a84ba76f0e175ec6d4a2178ffee7570b | [
"MIT"
] | permissive | jacebrowning/MeCabOnigiri | 5312f1761eacbd0df430c3bd09a26421539c9d63 | 66511d2563bfe2644533599fac3ca0897a524997 | refs/heads/master | 2021-04-15T19:04:52.694484 | 2017-11-07T16:29:51 | 2017-11-07T16:29:51 | 126,559,237 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 135 | py | """Integration tests configuration file."""
from MeCabOnigiri.tests.conftest import pytest_configure # pylint: disable=unused-import
| [
"[email protected]"
] | |
2c600b1161546f8cb29e4939b09b0e1d473dbcbc | f323771a686df2b934597f40334f168fa5d8915e | /interface_manager/backend/impi_project/interface_app/form/user.py | fd29bb7035c4a1aa0a3563e4ec7afc5ad6e566e7 | [] | no_license | luochun3731/test-dev | 4ac560b5cc2935986be7f3d29f445f6c0d59f60f | bab018464d26de5a493e5e5a60b382e612b6ca92 | refs/heads/master | 2022-02-04T13:20:23.748457 | 2019-05-19T03:32:41 | 2019-05-19T03:32:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | from django import forms
class UserForm(forms.Form):
username = forms.CharField(max_length=20,
min_length=3,
required=True,
error_messages={'required': "用户名不能为空"})
password = forms.CharField(max_length=20,
min_length=3,
required=True,
error_messages={'required': "密码不能为空"})
| [
"[email protected]"
] | |
d040d744f353bd17bf132b60eca848dbe8b29e88 | 3d529f14110558ff9c5231cbaacf63a3f04fd127 | /ensemble_segmentation.py | 0d7611dabaae35e6793c538a06a6d0e1fd416ba2 | [] | no_license | esskay0000/qtim_ROP | dc9a607a8d1e7d02afb7eba0087ad8a17d84fa7d | 8678b79f66a836603fb2b6308fbd0b36eac7a8e6 | refs/heads/master | 2020-12-30T15:08:40.130013 | 2017-03-31T16:00:12 | 2017-03-31T16:00:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,857 | py | #!/usr/bin/env python
from os import listdir, sep
from os.path import join, basename, isdir
import numpy as np
from PIL import Image
from segmentation import SegmentUnet
from common import find_images, make_sub_dir
class UnetEnsemble(object):
def __init__(self, models, out_dir, evaluate=None):
self.models = models
self.out_dir = out_dir
self.evaluate = evaluate
self.max_dir = make_sub_dir(self.out_dir, 'max')
self.mean_dir = make_sub_dir(self.out_dir, 'mean')
def segment_all(self, img_dir):
result_dirs = {}
imgs = find_images(img_dir)
for i, model_dir in enumerate(self.models):
print "Instantiating model #{}: {}".format(i+1, model_dir)
result_dir = join(self.out_dir, str(i)) # create directory to store segmented images
print "Segmented images will be written to '{}'".format(result_dir)
model_id = basename(model_dir.rstrip(sep)) # identifier for this particular model
result_dirs[model_id] = result_dir # dictionary to map between IDs and results
model = SegmentUnet(result_dir, model_dir, stride=(4, 4)) # instantiate U-Net
model.segment_batch(imgs) # segment images
self.ensemble(result_dirs) # combine the result of the segmentations
def ensemble(self, results):
if self.evaluate in results.keys():
results.pop(self.evaluate) # don't include the evaluation data in the ensembling
segmented_images = [sorted(find_images(x)) for _, x in results.items()]
for seg_images in zip(*segmented_images):
print seg_images
im_name = basename(seg_images[0])
seg_arr = np.dstack([np.asarray(Image.open(seg)) for seg in seg_images])
mean_image = np.round(np.mean(seg_arr, axis=2)).astype(np.uint8)
Image.fromarray(mean_image).save(join(self.mean_dir, im_name))
max_image = np.max(seg_arr, axis=2)
Image.fromarray(max_image).save(join(self.max_dir, im_name))
if __name__ == '__main__':
from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument('-m', '--model-dir', dest='model_dir', required=True)
parser.add_argument('-o', '--output-dir', dest='out_dir', required=True)
parser.add_argument('-i', '--images', dest='img_dir', required=True)
args = parser.parse_args()
# List of all models to ensemble
models_list = sorted([join(args.model_dir, name) for name in listdir(args.model_dir)
if isdir(join(args.model_dir, name))])
print models_list
# Instantiate ensembler object
ensembler = UnetEnsemble(models_list, args.out_dir, evaluate='splitAll_results')
ensembler.segment_all(args.img_dir) # segment images using all models and ensemble
| [
"[email protected]"
] | |
a4f292ca54d7b41913d10ed67bd4d04a3c613f99 | e73dff17361523dae546be3cb092652310d8048e | /music/migrations/0013_auto_20190408_1635.py | 0e76afeb01dd09fafad4bfbcb5f29b477f3326a3 | [] | no_license | asifk1997/CodeFii | 0cc971ab7d0df01815ad1d2bfb97f393dbdd8fa7 | 865c15769f90dbd7688701287a0319675f02cacf | refs/heads/master | 2021-06-20T18:25:37.368028 | 2019-05-29T05:14:50 | 2019-05-29T05:14:50 | 181,060,710 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2019-04-08 11:05
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('music', '0012_auto_20190407_1958'),
]
operations = [
migrations.AlterField(
model_name='submission',
name='code',
field=models.FileField(default='', upload_to=''),
),
]
| [
"[email protected]"
] | |
f54d503f5f8f9e61cb2ee0197d1e6168361f3002 | 61e54fef7d866e7bf2c73257ddb2e094e1495599 | /tables/Data.py | 8699b7489972898b2b52acb4ee043ab4c14bb894 | [
"MIT"
] | permissive | Ansu-John/Validator | 75a7f7f1f2f18b05f9f722c9c62a935e273afd7a | 9a7496bfb62621f3a6882d0e7958fffe8d2c67bb | refs/heads/main | 2023-03-30T01:42:07.878590 | 2021-03-28T23:45:20 | 2021-03-28T23:45:20 | 352,463,793 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 920 | py | from pyspark.sql.types import *
from util.Validator import ValidatorUtil
class Data:
def __init__(self, spark, logger):
self.spark = spark
self.logger = logger
self.validator = ValidatorUtil()
def validate(self):
dschema = StructType([StructField("count", IntegerType())])
targetRecords = self.spark.read.csv('tables/resources/targetData.csv', header = True, schema = dschema)
sourceRecords = self.spark.read.csv('tables/resources/sourceData.csv', header = True, schema = dschema)
if self.validator.count_checker(sourceRecords.first()[0],targetRecords.first()[0]):
print("Count of records in source and target are same and is equal to " + str(targetRecords.first()[0]))
else:
print("Count of records in source = " + str(sourceRecords.first()[0]) + " and in target = " + str(targetRecords.first()[0]))
| [
"[email protected]"
] | |
43f26d7db73966b76ae9be80cbc9b38884ac3271 | 486d534ed14eacef80500a9d08b6953905383e6f | /main.py | b5b06a0764536d096b27462070987107ad494df0 | [] | no_license | TylerSerrano98/Robots-vs-Dinosaurs | a859274453e892d03422615e2060d4ec820c0659 | c0b85ec25a813b6cb1738a670ddf641fbaa39e56 | refs/heads/main | 2023-08-06T22:20:27.986283 | 2021-10-07T21:59:02 | 2021-10-07T21:59:02 | 414,282,642 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 75 | py |
from battlefield import Battlefield
play = Battlefield()
play.run_game() | [
"[email protected]"
] | |
7c278e07370eee210433c8b9feebc05fecb6d857 | b5adb31f781fa51afe020754a11639cf428e9032 | /encode_faces.py | 479a8125522827447c700b2ecd1d28182663d891 | [] | no_license | ntmanh98/CS412_FaceRecognition | 6daf828a3b13df58e938696dd65e1b18a870a7d6 | d950606cf8f3c87c76d921ab23536ce5e7cbc8d3 | refs/heads/master | 2020-11-28T07:11:03.239639 | 2019-12-23T12:13:29 | 2019-12-23T12:13:29 | 229,739,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,922 | py | # import the necessary packages
from imutils import paths
import face_recognition
import argparse
import pickle
import cv2
import os
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--dataset", required=True,
help="path to input directory of faces + images")
ap.add_argument("-e", "--encodings", required=True,
help="path to serialized db of facial encodings")
ap.add_argument("-d", "--detection-method", type=str, default="cnn",
help="face detection model to use: either `hog` or `cnn`")
args = vars(ap.parse_args())
# grab the paths to the input images in our dataset
print("[INFO] quantifying faces...")
imagePaths = list(paths.list_images(args["dataset"]))
# initialize the list of known encodings and known names
knownEncodings = []
knownNames = []
# loop over the image paths
for (i, imagePath) in enumerate(imagePaths):
# extract the person name from the image path
print("[INFO] processing image {}/{}".format(i + 1,
len(imagePaths)))
name = imagePath.split(os.path.sep)[-2]
# load the input image and convert it from BGR (OpenCV ordering)
# to dlib ordering (RGB)
image = cv2.imread(imagePath)
rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
# detect the (x, y)-coordinates of the bounding boxes
# corresponding to each face in the input image
boxes = face_recognition.face_locations(rgb,
model=args["detection_method"])
# compute the facial embedding for the face
encodings = face_recognition.face_encodings(rgb, boxes)
# loop over the encodings
for encoding in encodings:
# add each encoding + name to our set of known names and
# encodings
knownEncodings.append(encoding)
knownNames.append(name)
# dump the facial encodings + names to disk
print("[INFO] serializing encodings...")
data = {"encodings": knownEncodings, "names": knownNames}
f = open(args["encodings"], "wb")
f.write(pickle.dumps(data))
f.close() | [
"[email protected]"
] | |
2d99d8804122e7c8df046b88f6106653af79fe46 | 255e51640f17b02966f8331d7c453258162bc4c7 | /xmlparse.py | ded8b99a8d57dbe20a253cb341279f7ab7569360 | [
"MIT"
] | permissive | The7thSin/Python | 0d611f5264f97b9699844515e16c8f6fc9c90010 | 56c34da8367cb470fdfec15e0cf11da497d9d6ee | refs/heads/master | 2020-08-27T12:51:53.455618 | 2019-11-07T08:19:24 | 2019-11-07T08:19:24 | 217,375,228 | 0 | 0 | MIT | 2019-10-24T19:19:47 | 2019-10-24T19:12:16 | null | UTF-8 | Python | false | false | 2,227 | py | import os
import glob
import xml.etree.ElementTree as ET
import re
# Schema for xml temparing
schema = "{urn:oasis:names:specification:ubl:schema:xsd:CommonAggregateComponents-2}"
schema_id = "{urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-2}"
# Variables to store the extracted order information
contact_final = []
address_final = []
order_id = []
# Getting latest file name to Parse
def get_latest_file_name():
files = glob.glob('./xml/*.xml')
return max(files, key=os.path.getctime)
# Load the file name in a variable
xml_file = get_latest_file_name()
# Reading the File
def load_xml(arg):
with open(arg, 'r') as file:
return file.read()
# Function for to extract ID, Contact & Delivery
def parse_xml():
root = ET.fromstring(load_xml(xml_file))
# Get Order ID
get_id = root.find("{}ID".format(schema_id))
order_id.append(get_id.text)
# Get Delivery
for get_delivery in root.find("{}Delivery".format(schema)):
for elem in list(get_delivery.itertext()):
if re.match("[ a-zA-Z0-9 ]", elem):
address_final.append(elem)
# Get Customer information
for customer in root.find("{}AccountingCustomerParty".format(schema)):
for contact in list(customer.iterfind("{}Contact".format(schema))):
for the_contact in list(contact.itertext()):
if re.match("[ a-zA-Z0-9 ]", the_contact):
contact_final.append(the_contact)
write_xml()
# Function to write the parced xml file
def write_xml():
# XML Fields Names
address_fields = ["Address", "City", "Postcode", "Country"]
contact_fields = ["Name", "Phone", "Email"]
# Root of XML
data = ET.Element("data")
data = ET.SubElement(data, "data")
# Write Order ID
id_details = ET.SubElement(data, "ID")
id_details.text = str(order_id[0])
# Write Order Contact
for i in range(len(contact_final)):
person_details = ET.SubElement(data, contact_fields[i])
person_details.text = str(contact_final[i])
# Write Order Address
for i in range(len(address_final)):
address = ET.SubElement(data, address_fields[i])
address.text = str(address_final[i])
# Write to file
tree = ET.ElementTree(data)
tree.write("order_{}.xml".format(order_id[0]),encoding="utf-8", xml_declaration=True)
parse_xml() | [
"[email protected]"
] | |
7f11324b8a4c892af8d5975d60c9fc7ce761fb81 | 0538c4f9fb1a5277783d95875780d7e0f87d01f5 | /fmbiopy/df.py | 1fee37cd8c0036ba00725c58166431d8467cd047 | [
"MIT"
] | permissive | fennerm/fmbiopy | 3d9ce56433fa092549c6d5465fb89b7f460d0f03 | 09bbfa480c8a13dd2eb3de13417980b9f5a40685 | refs/heads/master | 2021-01-21T03:59:45.907216 | 2018-12-08T21:58:42 | 2018-12-08T21:58:42 | 101,906,261 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,100 | py | """Utilities related to pandas data frames."""
from pandas import merge
def get_colnames(df):
"""Get the column names of a data frame as a list."""
# Faster than using list(df)
return df.columns.get_values().tolist()
def split(df, by, include_by=True):
"""Split a data frame by a grouping column.
Parameters
----------
df: pandas.DataFrame
The input data frame.
by: str
The name of the column to split by.
include_by: bool
If True, the group column is conserved in the output tables, if False it
is removed.
Returns
-------
List[pandas.DataFrame]
"""
split_dfs = [rows for _, rows in df.groupby(by)]
if not include_by:
split_dfs = [x.drop(by, axis=1).reindex() for x in split_dfs]
return split_dfs
def df_subtract(df1, df2):
"""Remove rows in `df` which are also in `df2` (both DataFrames)."""
merged = merge(df1, df2, how="outer", indicator=True)
return (
merged[merged["_merge"] == "left_only"]
.drop("_merge", axis=1)
.reset_index(drop=True)
)
| [
"[email protected]"
] | |
96dc1e0a1a3a44c06ce3a7a4d1378de8e542eb0a | d87e0c88a5f0132a5841d9a7b495342ace7a9485 | /metiz/bin/pilconvert.py | 7faf45ad85f0d9d05cf1dd6de241430a075f9930 | [] | no_license | nguyentranlogigear/NguyenSite | c74ce568b983418a564c4ef088be9439dba6e079 | 8012b769dd96bf259e658df7c889909cfe9903ce | refs/heads/master | 2020-06-19T17:29:57.874301 | 2017-10-18T12:52:38 | 2017-10-18T12:52:38 | 196,798,298 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,395 | py | #!/home/trangle/Documents/metiz-django/metiz/bin/python
#
# The Python Imaging Library.
# $Id$
#
# convert image files
#
# History:
# 0.1 96-04-20 fl Created
# 0.2 96-10-04 fl Use draft mode when converting images
# 0.3 96-12-30 fl Optimize output (PNG, JPEG)
# 0.4 97-01-18 fl Made optimize an option (PNG, JPEG)
# 0.5 98-12-30 fl Fixed -f option (from Anthony Baxter)
#
from __future__ import print_function
import getopt
import string
import sys
from PIL import Image
def usage():
print("PIL Convert 0.5/1998-12-30 -- convert image files")
print("Usage: pilconvert [option] infile outfile")
print()
print("Options:")
print()
print(" -c <format> convert to format (default is given by extension)")
print()
print(" -g convert to greyscale")
print(" -p convert to palette image (using standard palette)")
print(" -r convert to rgb")
print()
print(" -o optimize output (trade speed for size)")
print(" -q <value> set compression quality (0-100, JPEG only)")
print()
print(" -f list supported file formats")
sys.exit(1)
if len(sys.argv) == 1:
usage()
try:
opt, argv = getopt.getopt(sys.argv[1:], "c:dfgopq:r")
except getopt.error as v:
print(v)
sys.exit(1)
output_format = None
convert = None
options = {}
for o, a in opt:
if o == "-f":
Image.init()
id = sorted(Image.ID)
print("Supported formats (* indicates output format):")
for i in id:
if i in Image.SAVE:
print(i+"*", end=' ')
else:
print(i, end=' ')
sys.exit(1)
elif o == "-c":
output_format = a
if o == "-g":
convert = "L"
elif o == "-p":
convert = "P"
elif o == "-r":
convert = "RGB"
elif o == "-o":
options["optimize"] = 1
elif o == "-q":
options["quality"] = string.atoi(a)
if len(argv) != 2:
usage()
try:
im = Image.open(argv[0])
if convert and im.mode != convert:
im.draft(convert, im.size)
im = im.convert(convert)
if output_format:
im.save(argv[1], output_format, **options)
else:
im.save(argv[1], **options)
except:
print("cannot convert image", end=' ')
print("(%s:%s)" % (sys.exc_info()[0], sys.exc_info()[1]))
| [
"[email protected]"
] | |
a832e56f99806a67b0680a8dda1f2c00bb4e182f | d263a6f40156e5c131ccf727cf2d68519fe85b7e | /Country_Stats.py | dbe712bfbda13dde10721ae41d43fdb6eb1427e3 | [] | no_license | MariosLevi/Wikipedia-Country-Data-Scraper | 9b1b56c724b0b9546ba86086ec472d965c3262d2 | 1aa172b36ccf3b647a69dcc9cd023f48ae8bd1c1 | refs/heads/main | 2023-02-15T19:06:13.003399 | 2020-12-26T05:44:25 | 2020-12-26T05:44:25 | 324,490,048 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,766 | py | import bs4
from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
country = input("Enter a country: ")
country_cleaned= country.replace(" ", "%20")
my_url = 'https://en.wikipedia.org/wiki/' + country_cleaned
#opening a connection and grabbing a page
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()
#html parsing
page_soup = soup(page_html, "html.parser")
#focusing on just finding the first instance of an info table
infobox = page_soup.find("table",{"class":"infobox geography vcard"})
infobox_narrowed = infobox.findAll("td")
#loop to find which section of the infobox that population is involved in.
index = -1
for i in range(len(infobox_narrowed)):
#print("Currently Searching Section: " + str(section))
if "population" in str(infobox_narrowed[i]):
index = i
break
#enable for developer mode, to bug where to find a section
#print("\nThe chosen one is section number: " + str(index) + "\n")
population = str(infobox_narrowed[index].text.strip())
string_population = population.split("[", 1)[0] #"[" was chosen after realizing that's the indicator to population
int_population = int(string_population.replace(',', ''))
print("The population of " + country + " is " + string_population)
#### could just write a function instead but I copy pasted it:
country2 = input("Enter another country: ")
country_cleaned= country2.replace(" ", "%20")
my_url = 'https://en.wikipedia.org/wiki/' + country_cleaned
#opening a connection and grabbing a page
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()
#html parsing
page_soup = soup(page_html, "html.parser")
#focusing on just finding the first instance of an info table
infobox = page_soup.find("table",{"class":"infobox geography vcard"})
infobox_narrowed = infobox.findAll("td")
#loop to find which section of the infobox that population is involved in.
index = -1
for i in range(len(infobox_narrowed)):
#print("Currently Searching Section: " + str(section))
if "population" in str(infobox_narrowed[i]):
index = i
break
#enable for developer mode, to bug where to find a section
#print("\nThe chosen one is section number: " + str(index) + "\n")
population = str(infobox_narrowed[index].text.strip())
string_population = population.split("[", 1)[0] #"[" was chosen after realizing that's the indicator to population
int_population2 = int(string_population.replace(',', ''))
print("The population of " + country2 + " is " + string_population)
print("----------------------")
print("The population of " + country2 + " is about " + str(round(int_population2/int_population,2)) + " times the size of " + country)
| [
"[email protected]"
] | |
38281a3154f48a08fd62183a61dc219034137017 | 724f4b45fe75d3bf37b8a7857b7a5198ebd8080b | /lecture-cut.py | d13a966f0ba8c3936e7587ff622daeea75924068 | [
"MIT"
] | permissive | chrismacdonaldw/lecture-cut | 6d57bf0f94c92c7749c359b1da681b94d0eae263 | 1996d10638816513d2819b2261464b40d1ddb280 | refs/heads/master | 2021-07-16T18:29:29.134378 | 2020-07-09T00:30:21 | 2020-07-09T00:30:21 | 181,226,426 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,484 | py | import subprocess
import os
import argparse
from pydub import AudioSegment
from pydub.silence import detect_silence
def extract_audio():
"""
Extracts audio from video file
Returns:
Returns filename for future use
"""
filename = input("Enter filename: ")
command = "ffmpeg -i " + filename + " -ab 160k -ac 2 -ar 44100 -vn cut.wav"
subprocess.call(command, shell=True)
return filename
def analyze_audio():
"""
Finds silent chunks of audio
Returns:
Time intervals of silence
"""
audio = AudioSegment.from_wav("cut.wav")
return detect_silence(audio, silence_thresh=SILENCE_THRESHOLD)
def generate_command(silence, filename):
"""
Generates FFmpeg Command to trim video
using the aforementioned time intervals
Args:
silence: Intervals of silent audio
filename: Filename given in extract_audio
"""
videocmd = "ffmpeg -i " + filename + " -vf \"select='not("
addcmd = ""
for i, chunk in enumerate(silence):
if i == 0:
addcmd += 'between(t,%s,%s)' % (
(chunk[0] + CUT_INTERVAL)/1000, (chunk[1] - CUT_INTERVAL)/1000)
else:
addcmd += '+between(t,%s,%s)' % (
(chunk[0] + CUT_INTERVAL)/1000, (chunk[1] - CUT_INTERVAL)/1000)
videocmd += '%s%s%s%s%s' % (
addcmd,
COMMAND_SET_ONE,
addcmd,
COMMAND_SET_TWO,
OUTPUT_FILE
)
subprocess.Popen(videocmd, shell=False)
parser = argparse.ArgumentParser(
description='Trims video based on segments which are under a specified silence threshold')
parser.add_argument('--output_file', type=str, default='out.mp4',
help='name of file that will be output after trim')
parser.add_argument('--cut_interval', type=int, default=150,
help='ms of silent audio segments to be cut to allow for a custom margin of error, default is 150')
parser.add_argument('--silence_threshold', type=int, default=-55,
help='value in dBFS that when audio is lower then, will be considered silent. Default is -55')
args = parser.parse_args()
OUTPUT_FILE = args.output_file
CUT_INTERVAL = args.cut_interval
SILENCE_THRESHOLD = args.silence_threshold
COMMAND_SET_ONE = ")',setpts=N/FRAME_RATE/TB\" -af \"aselect='not("
COMMAND_SET_TWO = ")',asetpts=N/SR/TB\" "
filename = extract_audio()
print(filename)
generate_command(analyze_audio(), filename)
os.remove('cut.wav')
| [
"[email protected]"
] | |
62e9b1596c432b29ece544f11f4f06ca64a733d7 | bf6e53b21d995b031fdd412f29f56cc50e5d9eab | /week1/百度翻译.py | 76a78a31e766ada83304392bd4a21a08f6544a25 | [] | no_license | lzs1314/pythonWeb | 66fe058b21ebdf4851065355b4d3b4aa30716fe1 | 4b56e385ebc37d39e6ef7e3992d895a7278e1a32 | refs/heads/master | 2022-12-26T13:54:44.485675 | 2019-12-17T06:41:37 | 2019-12-17T06:41:37 | 223,873,256 | 0 | 0 | null | 2022-12-11T14:44:15 | 2019-11-25T06:03:46 | JavaScript | UTF-8 | Python | false | false | 797 | py | import requests
import json
response = requests.get("https://www.baidu.com")
response.encoding = 'utf8'
print(response.text)
print(response.content.decode())
r = requests.get('https://www.baidu.com/img/[email protected]')
f = open("baidu.png",'wb')
f.write(r.content)
f.close()
headers = {'User-Agent':'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Mobile Safari/537.36'}
res = requests.post(url = 'https://fanyi.baidu.com/basetrans',headers =headers,data={'query': '请问','from': 'zh','to': 'en','token': '8ad2df927d4fa7221ee6768c285d3734','sign': '347496.110169'})
json_str = res.content.decode()
print(json_str)
dicesr = json.loads(json_str)
print(dicesr)
result = dicesr["data"]['st_tag']
print(result)
| [
"[email protected]"
] | |
fcd49cb6b8f5ded2b8f85b9775ac15e3483878ad | f51165f5477a991ebfee81ad1dff965e95095a06 | /assets/src/ba_data/python/ba/_appcomponent.py | 0e1f635d2632b3aa72896558d43dfc93a2ec9c5b | [
"MIT"
] | permissive | SZRWorks/SaulSquad | d77d572e5618347a1263a0da8000e16a85f6ed2b | 41c5ea0996c15a4e4bb067ac75241f78b44526a3 | refs/heads/master | 2023-03-01T01:04:35.831799 | 2023-01-23T17:56:59 | 2023-01-23T17:56:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,317 | py | # Released under the MIT License. See LICENSE for details.
#
"""Provides the AppComponent class."""
from __future__ import annotations
from typing import TYPE_CHECKING, TypeVar, cast
import _ba
if TYPE_CHECKING:
from typing import Callable, Any
T = TypeVar('T', bound=type)
class AppComponentSubsystem:
"""Subsystem for wrangling AppComponents.
Category: **App Classes**
This subsystem acts as a registry for classes providing particular
functionality for the app, and allows plugins or other custom code to
easily override said functionality.
Use ba.app.components to get the single shared instance of this class.
The general idea with this setup is that a base-class is defined to
provide some functionality and then anyone wanting that functionality
uses the getclass() method with that base class to return the current
registered implementation. The user should not know or care whether
they are getting the base class itself or some other implementation.
Change-callbacks can also be requested for base classes which will
fire in a deferred manner when particular base-classes are overridden.
"""
def __init__(self) -> None:
self._implementations: dict[type, type] = {}
self._prev_implementations: dict[type, type] = {}
self._dirty_base_classes: set[type] = set()
self._change_callbacks: dict[type, list[Callable[[Any], None]]] = {}
def setclass(self, baseclass: type, implementation: type) -> None:
"""Set the class providing an implementation of some base-class.
The provided implementation class must be a subclass of baseclass.
"""
# Currently limiting this to logic-thread use; can revisit if needed
# (would need to guard access to our implementations dict).
assert _ba.in_logic_thread()
if not issubclass(implementation, baseclass):
raise TypeError(
f'Implementation {implementation}'
f' is not a subclass of baseclass {baseclass}.'
)
self._implementations[baseclass] = implementation
# If we're the first thing getting dirtied, set up a callback to
# clean everything. And add ourself to the dirty list regardless.
if not self._dirty_base_classes:
_ba.pushcall(self._run_change_callbacks)
self._dirty_base_classes.add(baseclass)
def getclass(self, baseclass: T) -> T:
"""Given a base-class, return the currently set implementation class.
If no custom implementation has been set, the provided base-class
is returned.
"""
assert _ba.in_logic_thread()
del baseclass # Unused.
return cast(T, None)
def register_change_callback(
self, baseclass: T, callback: Callable[[T], None]
) -> None:
"""Register a callback to fire when a class implementation changes.
The callback will be scheduled to run in the logic thread event
loop. Note that any further setclass calls before the callback
runs will not result in additional callbacks.
"""
assert _ba.in_logic_thread()
self._change_callbacks.setdefault(baseclass, []).append(callback)
def _run_change_callbacks(self) -> None:
pass
| [
"[email protected]"
] | |
19b184baf44444e5f80ff40ea054542446741721 | d93f1cffe8f28868f89545703e5cacb16a95a52c | /DMD/HW9/dbms.py | 56ddcffaf3235b4c1feda5af1314c9f7e7888e00 | [
"MIT"
] | permissive | abcdw/inno | ab98b4d108daa4817080f028591b93335f67be32 | 91cfa1b2dac74f2015d69ed8df425ab8f2e5c4f2 | refs/heads/master | 2021-01-17T14:40:00.729707 | 2016-03-31T08:04:50 | 2016-03-31T08:04:50 | 40,948,378 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,845 | py | # -*- coding: utf-8 -*-
import sys
import random
class Student:
def __init__(self, record):
self.record = record
def __str__(self):
ret = ''
for field, spec in zip(self.record, self.scheme):
assert spec[1] >= len(field)
ret += (self.empty_char * (spec[1] - len(field)) + field)
return ret
@staticmethod
def get_empty():
return Student(('','','',''))
empty_char = '.'
scheme = [
('id', 10),
('name', 20),
('email', 40),
('address', 40),
]
data = [
('1', 'Andrew', '[email protected]', 'University st. 1'),
('2', 'John', '[email protected]', 'University st. 1'),
('3', 'Dron', '[email protected]', 'University st. 1'),
('4', 'Tom', '[email protected]', 'St. Petesburg University st. 1'),
]
file_name = 'students.txt'
@classmethod
def record_size(cls):
ret = 0
for spec in cls.scheme:
ret += spec[1]
return ret
class Employee:
def __init__(self, record):
self.record = record
def __str__(self):
ret = ''
for field, spec in zip(self.record, self.scheme):
assert spec[1] >= len(field)
ret += (self.empty_char * (spec[1] - len(field)) + field)
return ret
@staticmethod
def get_empty():
return Employee(('','','',''))
empty_char = '.'
scheme = [
('id', 10),
('name', 20),
('designation', 40),
('address', 40),
]
data = [
('1', 'Andrew', '[email protected]', 'University st. 1'),
('2', 'John', '[email protected]', 'University st. 1'),
('3', 'Dron', '[email protected]', 'University st. 1'),
('4', 'Tom', '[email protected]', 'St. Petesburg University st. 1'),
]
file_name = 'employee.txt'
@classmethod
def record_size(cls):
ret = 0
for spec in cls.scheme:
ret += spec[1]
return ret
class DBMS:
page_size = 8 * 1024
def __init__(self, rt):
self.rt = rt
self.file_name = rt.file_name
self.touch_file(self.file_name)
self.fl = open(self.file_name, 'r+')
def touch_file(self, file_name):
import os.path
if not os.path.isfile(file_name):
with open(file_name, 'w+') as fl:
fl.write(self.rt.empty_char * (self.page_size))
def write_all(self):
# fl = sys.stdout
bytes_writed = 0
for record in self.rt.data:
offset = self.get_offset(record[0])
self.fl.seek(offset)
self.fl.write(str(Student(record)))
bytes_writed += self.rt.record_size()
assert self.page_size >= bytes_writed
self.fl.write(self.rt.empty_char * (self.page_size - bytes_writed))
def read_all(self):
self.fl.seek(0)
while True:
record = self.fl.read(self.rt.record_size())
if not record:
break
if record[0:self.rt.scheme[0][1]] != self.rt.empty_char * self.rt.scheme[0][1]:
print record
@staticmethod
def hash(item):
return int(item) - 1
def get_offset(self, id):
return (self.hash(id) * self.rt.record_size()) % self.page_size
def get(self, id):
offset = self.get_offset(id)
self.fl.seek(offset)
print self.fl.read(self.rt.record_size())
def update(self, record):
id = int(record[0])
offset = self.get_offset(id)
self.fl.seek(offset)
self.fl.write(str(self.rt(record)))
def delete(self, id):
offset = self.get_offset(id)
self.fl.seek(offset)
self.fl.write(str(self.rt.get_empty()))
def insert(self, rec):
max_id = (self.page_size / self.rt.record_size())
id = random.randint(0, max_id)
ins_rec = list(rec)
ins_rec.insert(0, id)
while True:
id = id % max_id
ins_rec[0] = str(id)
offset = self.get_offset(id)
self.fl.seek(offset)
record = self.fl.read(self.rt.record_size())
if not record:
break
if record[0:self.rt.scheme[0][1]] == self.rt.empty_char * self.rt.scheme[0][1]:
self.update(ins_rec)
break
id += 1
def main():
db = DBMS(Student)
# db.write_all()
db.read_all()
# # db.update(('1', 'Johny', '[email protected]', 'University st. 1'))
# # db.update(('2', 'Johny', '[email protected]', 'University st. 1'))
# db.insert(('Johny', '[email protected]', 'University st. 1'))
db.delete(2)
db.read_all()
if __name__ == "__main__":
main()
| [
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] | |
738697a559a89ffa078bf1099e7030e8fbce4150 | bb948b8a50775f841d19c7d31e80f49049d61892 | /HeartPy-Lambda/bin/f2py3 | 015a6b5f30c44294e239f397c77cd46c949770fe | [
"MIT"
] | permissive | altaga/EHM-Electrocardiography-Holter-Monitor | 8c14cf01d4f1dde24b9927921115749228c1a628 | dd103fdbe0ea4ec18f1ba7a92801c64a962204da | refs/heads/main | 2023-04-23T02:43:09.141232 | 2021-05-06T22:56:40 | 2021-05-06T22:56:40 | 321,284,879 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 233 | #!/home/altaga/anaconda3/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
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] | ||
b8e203e01540e54a5eb905ab572872faa275fd8f | f0a53b058b5384b6a788b934c5970512e8911af5 | /src/models/stores/views.py | bff32a69105101596efe56fa05c929a48bcaaa0d | [] | no_license | McMad4it/Udemy_ChairAlert | 0f67b27a0f400ccfc45da40246e8517e8281ea20 | 13923e43c1bc1129030d95d44b51c4cb1281097f | refs/heads/master | 2021-08-10T12:01:42.346913 | 2017-11-12T14:26:14 | 2017-11-12T14:26:14 | 109,399,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,935 | py | import json
import src.models.users.decorators as user_decorators
from werkzeug.utils import redirect
from src.models.stores.store import Store
from flask import Blueprint, render_template, request, url_for
__author__ = 'neil'
store_blueprint = Blueprint('stores', __name__)
@store_blueprint.route('/')
def index():
stores = Store.all()
return render_template('stores/store_index.html', stores=stores)
@store_blueprint.route('/store/<string:store_id>')
def store_page(store_id):
return render_template('stores/store.html', store=Store.get_by_id(store_id))
@store_blueprint.route('/edit/<string:store_id>', methods=['GET', 'POST'])
@user_decorators.requires_admin_permission
def edit_store(store_id):
store = Store.get_by_id(store_id)
if request.method == 'POST':
name = request.form['name']
url_prefix = request.form['url_prefix']
tag_name = request.form['tag_name']
query = json.loads(request.form['query'])
store.name = name
store.url_prefix = url_prefix
store.tag_name = tag_name
store.query = query
store.save_to_mongo()
return redirect(url_for('.index'))
return render_template('stores/edit_store.html', store=store)
@store_blueprint.route('/delete/<string:store_id>')
@user_decorators.requires_admin_permission
def delete_store(store_id):
Store.get_by_id(store_id).delete()
return redirect(url_for('.index'))
@store_blueprint.route('/new', methods=['GET', 'POST'])
@user_decorators.requires_admin_permission
def create_store():
if request.method == 'POST':
name = request.form['name']
url_prefix = request.form['url_prefix']
tag_name = request.form['tag_name']
query = json.loads(request.form['query'])
Store(name, url_prefix, tag_name, query).save_to_mongo()
return redirect(url_for('.index'))
return render_template('stores/new_store.html')
| [
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] | |
fa4f26df92c0baafb6feae7c4afb0fec999e3c58 | 782635313cf20e03e17879655e9e2b8af1759cfb | /81.py | 289c225170d8ce10ee3eca7de788c0300f435d44 | [] | no_license | Clement5789/P5 | b896190fecc733b092cbd98f49d29b0f611f4f1e | b373a032b82a1fc48f8571a5c2bf849c6a0f0ddc | refs/heads/main | 2023-09-03T02:48:16.247789 | 2021-11-15T08:47:46 | 2021-11-15T08:47:46 | 425,742,400 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 94 | py | def somme(t):
n = len(t)
s = 0
for i in range(n):
s=s+t[i]
return s/n | [
"[email protected]"
] | |
011770c28e6ac0c04cf5ea09655eab4689405eaa | a56a74b362b9263289aad96098bd0f7d798570a2 | /venv/lib/python3.8/site-packages/notebook/tests/selenium/test_dualmode_execute.py | 08bc3346fddc2f4521efbbc0c72d1e4531452203 | [
"MIT"
] | permissive | yoonkt200/ml-theory-python | 5812d06841d30e1068f6592b5730a40e87801313 | 7643136230fd4f291b6e3dbf9fa562c3737901a2 | refs/heads/master | 2022-12-21T14:53:21.624453 | 2021-02-02T09:33:07 | 2021-02-02T09:33:07 | 132,319,537 | 13 | 14 | MIT | 2022-12-19T17:23:57 | 2018-05-06T08:17:45 | Python | UTF-8 | Python | false | false | 2,694 | py | ''' Test keyboard invoked execution '''
from selenium.webdriver.common.keys import Keys
from .utils import shift, cmdtrl, alt, validate_dualmode_state
INITIAL_CELLS = ['', 'print("a")', 'print("b")', 'print("c")']
def test_dualmode_execute(prefill_notebook):
notebook = prefill_notebook(INITIAL_CELLS)
for i in range(1, 4):
notebook.execute_cell(i)
#shift-enter
#last cell in notebook
base_index = 3
notebook.focus_cell(base_index)
shift(notebook.browser, Keys.ENTER) #creates one cell
validate_dualmode_state(notebook, 'edit', base_index + 1)
#Not last cell in notebook & starts in edit mode
notebook.focus_cell(base_index)
notebook.body.send_keys(Keys.ENTER) #Enter edit mode
validate_dualmode_state(notebook, 'edit', base_index)
shift(notebook.browser, Keys.ENTER) #creates one cell
validate_dualmode_state(notebook, 'command', base_index + 1)
#Starts in command mode
notebook.body.send_keys('k')
validate_dualmode_state(notebook, 'command', base_index)
shift(notebook.browser, Keys.ENTER) #creates one cell
validate_dualmode_state(notebook, 'command', base_index + 1)
#Ctrl-enter
#Last cell in notebook
base_index += 1
cmdtrl(notebook.browser, Keys.ENTER)
validate_dualmode_state(notebook, 'command', base_index)
#Not last cell in notebook & stats in edit mode
notebook.focus_cell(base_index - 1)
notebook.body.send_keys(Keys.ENTER) #Enter edit mode
validate_dualmode_state(notebook, 'edit', base_index - 1)
cmdtrl(notebook.browser, Keys.ENTER)
#Starts in command mode
notebook.body.send_keys('j')
validate_dualmode_state(notebook, 'command', base_index)
cmdtrl(notebook.browser, Keys.ENTER)
validate_dualmode_state(notebook, 'command', base_index)
#Alt-enter
#Last cell in notebook
alt(notebook.browser, Keys.ENTER)
validate_dualmode_state(notebook, 'edit', base_index + 1)
#Not last cell in notebook &starts in edit mode
notebook.focus_cell(base_index)
notebook.body.send_keys(Keys.ENTER) #Enter edit mode
validate_dualmode_state(notebook, 'edit', base_index)
alt(notebook.browser, Keys.ENTER)
validate_dualmode_state(notebook, 'edit', base_index + 1)
#starts in command mode
notebook.body.send_keys(Keys.ESCAPE, 'k')
validate_dualmode_state(notebook, 'command', base_index)
alt(notebook.browser, Keys.ENTER)
validate_dualmode_state(notebook, 'edit', base_index + 1)
#Notebook will now have 8 cells, the index of the last cell will be 7
assert len(notebook) == 8 #Cells where added
notebook.focus_cell(7)
validate_dualmode_state(notebook, 'command', 7)
| [
"[email protected]"
] | |
16545cbf84223018e486406b97a7071dffcec2a6 | dd87194dee537c2291cf0c0de809e2b1bf81b5b2 | /k8sclient/models/v1_scale_status.py | 0ad5ae7fc74e946404ba2ecfdf3f25f3561fff6e | [
"Apache-2.0"
] | permissive | Arvinhub/client-python | 3ea52640ab02e4bf5677d0fd54fdb4503ecb7768 | d67df30f635231d68dc4c20b9b7e234c616c1e6a | refs/heads/master | 2023-08-31T03:25:57.823810 | 2016-11-02T22:44:36 | 2016-11-02T22:44:36 | 73,865,578 | 1 | 0 | Apache-2.0 | 2018-10-10T12:16:45 | 2016-11-15T23:47:17 | Python | UTF-8 | Python | false | false | 4,907 | py | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: unversioned
Generated by: https://github.com/swagger-api/swagger-codegen.git
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from pprint import pformat
from six import iteritems
import re
class V1ScaleStatus(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, replicas=None, selector=None):
"""
V1ScaleStatus - a model defined in Swagger
:param dict swaggerTypes: The key is attribute name
and the value is attribute type.
:param dict attributeMap: The key is attribute name
and the value is json key in definition.
"""
self.swagger_types = {
'replicas': 'int',
'selector': 'str'
}
self.attribute_map = {
'replicas': 'replicas',
'selector': 'selector'
}
self._replicas = replicas
self._selector = selector
@property
def replicas(self):
"""
Gets the replicas of this V1ScaleStatus.
actual number of observed instances of the scaled object.
:return: The replicas of this V1ScaleStatus.
:rtype: int
"""
return self._replicas
@replicas.setter
def replicas(self, replicas):
"""
Sets the replicas of this V1ScaleStatus.
actual number of observed instances of the scaled object.
:param replicas: The replicas of this V1ScaleStatus.
:type: int
"""
if replicas is None:
raise ValueError("Invalid value for `replicas`, must not be `None`")
self._replicas = replicas
@property
def selector(self):
"""
Gets the selector of this V1ScaleStatus.
label query over pods that should match the replicas count. This is same as the label selector but in the string format to avoid introspection by clients. The string will be in the same format as the query-param syntax. More info about label selectors: http://kubernetes.io/docs/user-guide/labels#label-selectors
:return: The selector of this V1ScaleStatus.
:rtype: str
"""
return self._selector
@selector.setter
def selector(self, selector):
"""
Sets the selector of this V1ScaleStatus.
label query over pods that should match the replicas count. This is same as the label selector but in the string format to avoid introspection by clients. The string will be in the same format as the query-param syntax. More info about label selectors: http://kubernetes.io/docs/user-guide/labels#label-selectors
:param selector: The selector of this V1ScaleStatus.
:type: str
"""
self._selector = selector
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""
Returns the string representation of the model
"""
return pformat(self.to_dict())
def __repr__(self):
"""
For `print` and `pprint`
"""
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
| [
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] | |
a0c7c6e5f154d0c24732a96cd6953001f48d386c | fbe35550eaacd366c0a3d098fdddcde15bf3b8ec | /foodiboo_api/blueprints/sessions/views.py | e4c7b5a0d1c94e97af32a9ac40d5a8d1e2be4bc7 | [] | no_license | chriz218/foodiboo-backend | 7b15106ca6a922dc730c15388e3311f76aee0d4b | 6374357ba8cb8082dc7b39a1d22fce3536cd6fff | refs/heads/master | 2022-12-14T06:03:37.468034 | 2020-02-18T07:46:40 | 2020-02-18T07:46:40 | 238,411,105 | 0 | 0 | null | 2022-12-08T01:51:07 | 2020-02-05T09:20:22 | Python | UTF-8 | Python | false | false | 2,529 | py | from app import app
from flask import Blueprint, Flask, request, json, jsonify
from werkzeug.security import generate_password_hash # This function allows one to hash a password
from models.user import User
from models.food import Food
from models.review import Review
from models.tag import Tag
from flask_login import current_user
from werkzeug.security import check_password_hash
from werkzeug.utils import secure_filename
from flask_jwt_extended import (
JWTManager, jwt_required, create_access_token,
get_jwt_identity, get_raw_jwt, jwt_refresh_token_required
)
from config import JWT_SECRET_KEY
sessions_api_blueprint = Blueprint('sessions',
__name__,
template_folder='templates')
jwt = JWTManager(app)
@sessions_api_blueprint.route('/login', methods=['POST'])
def login():
if not request.is_json:
return jsonify({"msg": "Missing JSON in request"}), 400
name = request.json.get('name')
password = request.json.get('password')
user = User.get_or_none(User.name == name)
if user is None:
return jsonify({
"err": "Username does not exist"
}), 400
else:
# hashed_password = user.password
result = check_password_hash(user.password, password)
if result == True:
access_token = create_access_token(identity=name)
return jsonify({
"status": "Success",
"token": access_token,
"user": {"name": user.name, "email": user.email, "id":user.id}
}), 200
else:
return jsonify({
"err": "Wrong username or password"
}), 400
@sessions_api_blueprint.route('/protected', methods=['GET'])
@jwt_required
def protected():
# Access the identity of the current user with get_jwt_identity
current_user = get_jwt_identity()
return jsonify(logged_in_as=current_user), 200
# # Endpoint for revoking the current users access token
# @sessions_api_blueprint.route('/logout', methods=['DELETE'])
# @jwt_required
# def logout():
# jti = get_raw_jwt()['jti']
# blacklist.add(jti)
# return jsonify({"msg": "Successfully logged out"}), 200
# # Endpoint for revoking the current users refresh token
# @sessions_api_blueprint.route('/logout2', methods=['DELETE'])
# @jwt_refresh_token_required
# def logout2():
# jti = get_raw_jwt()['jti']
# blacklist.add(jti)
# return jsonify({"msg": "Successfully logged out"}), 200
| [
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] | |
47fb603f7785e3e485b4f753d05b6c8f6defa0cf | af52570a1fc2fa593d4c463ae02e72ffd0c4a39f | /05_basic_scripts/task_5_1d(ready).py | 37f57d4473818871066403936fe769e3aaff25e6 | [] | no_license | teXetEAS/training-course | 7ceb2a66f48d38b47bc53ce901b8e78c8ae73560 | adb134c74b85d154ffb4af9807af4b3092eb14bd | refs/heads/master | 2022-09-03T11:19:37.936758 | 2020-05-17T08:55:38 | 2020-05-17T08:55:38 | 258,777,962 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,541 | py | # -*- coding: utf-8 -*-
'''
Задание 5.1d
Переделать скрипт из задания 5.1c таким образом, чтобы, при запросе параметра,
пользователь мог вводить название параметра в любом регистре.
Пример выполнения скрипта:
$ python task_5_2d.py
Введите имя устройства: r1
Введите имя параметра (ios, model, vendor, location, ip): IOS
15.4
Ограничение: нельзя изменять словарь london_co.
Все задания надо выполнять используя только пройденные темы.
То есть эту задачу можно решить без использования условия if.
'''
london_co = {
'r1': {
'location': '21 New Globe Walk',
'vendor': 'Cisco',
'model': '4451',
'ios': '15.4',
'ip': '10.255.0.1'
},
'r2': {
'location': '21 New Globe Walk',
'vendor': 'Cisco',
'model': '4451',
'ios': '15.4',
'ip': '10.255.0.2'
},
'sw1': {
'location': '21 New Globe Walk',
'vendor': 'Cisco',
'model': '3850',
'ios': '3.6.XE',
'ip': '10.255.0.101',
'vlans': '10,20,30',
'routing': True
}
}
inputDev = input("Укажите устройство: ")
inputParam = input("Укажите параметр: ").lower()
print(london_co[inputDev][inputParam])
| [
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] | |
de552a40545c362709679d788bee3449231ea62a | b3f1e049d7ac9abe553b92593a2398f35a898972 | /similaritycalculation/similaritycalculation.py | 3c4c50c269f0fdc11a4c77afce3faf8c5dc66876 | [
"MIT"
] | permissive | HenFo/Geosoftware-II-AALLH | c8633cdc7d76282d5acf60c46daffae1bfaa7c8a | 5298e583884e86d8382761cb4df4b16286dfe183 | refs/heads/master | 2023-05-30T12:47:59.114030 | 2019-01-30T15:00:51 | 2019-01-30T15:00:51 | 154,464,035 | 0 | 12 | MIT | 2023-05-01T20:32:44 | 2018-10-24T08:16:23 | Python | UTF-8 | Python | false | false | 9,402 | py | import logging
import os
import sqlite3
from math import floor
from pycsw.core import timeSimilarity as ts
from pycsw.core import spatialSimilarity as sps
from pycsw.core import generalSimilarity as gs
LOGGER = logging.getLogger(__name__)
def similaritycalculation(id1):
'''
Main function of the similarity calculation.
Runs the functions for the similarity calculations.
@authors Anika Graupner, Henry Fock
:param id1: Identifier of the udated or inserted record
'''
LOGGER.info('Similaritycalculation started.')
# connection to the database
conn = sqlite3.connect(os.path.join('db-data', 'data.db'))
c = conn.cursor()
# test if there is only one record in the database
# if yes, the calculation will not run
c.execute("SELECT identifier FROM records")
numberrec = c.fetchall()
if len(numberrec) > 1:
# get the the important values of the updated or inserted record
c.execute("SELECT title, time_begin, time_end, creator, wkt_geometry, format FROM records WHERE identifier = %r" % (id1))
LOGGER.info('Getting the the important values of the updated or inserted record')
valuesrec1 = c.fetchall()
title1 = valuesrec1[0][0]
creator1 = valuesrec1[0][3]
format1 = valuesrec1[0][5]
bbox = valuesrec1[0][4]
timebegin1 = valuesrec1[0][1]
timeend1 = valuesrec1[0][2]
# formatting the bbox of the updated or inserted record if there is one
if valuesrec1[0][4]:
# formatting bbox and timeextent of the updated or inserted record
a = bbox.replace("POLYGON", "")
b = a.replace("((", "").replace("))", "").replace(",", " ")
bbox1 = b.split()
minx1 = bbox1[0]
miny1 = bbox1[1]
maxx1 = bbox1[4]
maxy1 = bbox1[5]
bboxA = [minx1, miny1, maxx1, maxy1]
bboxA = list(map(float, bboxA))
else:
LOGGER.info('The updated or inserted record %r has no bbox.' % (id1))
# formatting the timeextend of the updated or inserted record if there is one
if valuesrec1[0][1]:
timeA = [timebegin1, timeend1]
else:
LOGGER.info('The updated or inserted record %r has no time extent.' % (id1))
# delete all records in the similarities table where record1 or record2 is like the input id
# this is important when a record will be updated twice or more
c.execute("DELETE FROM similarities WHERE record1 = %(id1)r OR record2 = %(id1)r" % ({'id1' : id1}))
conn.commit()
LOGGER.info('Deleting records from similarities tables!')
# select all important values from the database for similarity calculation except the values of the updated or inserted record, because the
# updated value will not be compared with hisself
c.execute("SELECT identifier, title, time_begin, time_end, creator, wkt_geometry, format FROM records")
LOGGER.info('Getting important values from the database for similarity calculation except the values of the updated or inserted record')
values = c.fetchall()
# for each record in the database (except the record with the id of the updated or inserted record)
rows = []
i = 0
while i < len(values):
if values[i][0] == id1:
i+=1
# start comparing the updated or inserted record with all valid records in the database
else:
# id of the respective record in the database
id2 = values[i][0]
# weights for the total similarity of the similarity calculation
weight = {
"space" : {
"isg" : 45,
"overlap" : 20,
"area" : 15,
"distance" : 10
},
"time" : {
"isg" : 30,
"length" : 15,
"overlap" : 15
},
"general" : {
"isg" : 25,
"type" : 10,
"author" : 5,
"title" : 10
}
}
# test if both records have a timeextent
if values[i][2] and timebegin1:
# formatting the input for the functions of the timeSimilarity
timeB = [values[i][2], values[i][3]]
# temporal similarity (time length, overlapping of the time periods)
timeLength = ts.timeLength(timeA, timeB)*weight["time"]["length"]
timeOverlap = ts.timeOverlap(timeA, timeB)*weight["time"]["overlap"]
timeSimilarity = timeLength + timeOverlap
# if not it is not necessary to run the functions for the time similarity and the timeSimilarity is 0
else:
timeSimilarity = 0
# test if both records have a spatial extent
if bbox and values[i][5]:
# formatting bbox of the repective record in the database
box = values[i][5]
e = box.replace("POLYGON", "")
d = e.replace("((", "").replace("))", "").replace(",", " ")
bbox2 = d.split()
minx2 = bbox2[0]
miny2 = bbox2[1]
maxx2 = bbox2[4]
maxy2 = bbox2[5]
bboxB = [minx2, miny2, maxx2, maxy2]
bboxB = list(map(float, bboxB))
# spatial simialrity (overlapping bboxes, similar area of the bboxes, spatial distance)
spatialOverlap = sps.spatialOverlap(bboxA, bboxB)*weight["space"]["overlap"]
similarArea = sps.similarArea(bboxA, bboxB)*weight["space"]["area"]
spatialDistance = sps.spatialDistance(bboxA, bboxB)*weight["space"]["distance"]
spatialSimilarity = spatialOverlap + similarArea + spatialDistance
# if not it is not necessary to run the functions for the spatial similarity and the spatialSimilarity is 0
else:
spatialSimilarity = 0
# test if both records have a title
if title1 and values[i][1]:
title2 = values[i][1]
similarTitle = gs.similarTitle(title1, title2)*weight["general"]["title"]
# if not it is not necessary to run the functions for the similar Title and similarTitle is 0
else:
similarTitle = 0
# test if both records have a creator
if creator1 and values[i][4]:
creator2 = values[i][4]
sameAuthor = gs.sameAuthor(creator1, creator2)*weight["general"]["author"]
# if not it is not necessary to run the functions for the same Author and sameAuthor is 0
else:
sameAuthor = 0
# test if both records have a format
if format1 and values[i][6]:
format2 = values[i][6]
sameDatatype = gs.sameDatatype(format1, format2)*weight["general"]["type"]
# if not it is not necessary to run the functions for the same datatype and sameDatatype is 0
else:
sameDatatype = 0
# calculate the general similarity
generalSimilarity = sameDatatype + sameAuthor + similarTitle
# add everything together for the total similarity value
# /100 because we want to have values between 0 and 1
totalSimilarity = (generalSimilarity + spatialSimilarity + timeSimilarity)/100
# new tupel add to rows list (later inserted in the database table similarities)
newrow = (id1, id2, round(totalSimilarity, 4), round(spatialSimilarity/weight["space"]["isg"], 4),
round(timeSimilarity/weight["time"]["isg"], 4), round(generalSimilarity/weight["general"]["isg"], 4))
rows.append(newrow)
LOGGER.debug(newrow)
i+=1
# insert the calculated values into the database
for entry in rows:
sql = """insert into similarities (record1, record2, total_similarity, geospatial_extent, temporal_extent, general_extent)
values (?,?,?,?,?,?)"""
c.execute(sql, entry)
conn.commit()
LOGGER.info('Similarity calculation finished.')
# if there was only one value in the database
else:
LOGGER.info('Nothing to compare.')
| [
"[email protected]"
] | |
a81f8915ba5456a33beaecb4ea44265146b6e32f | 0c67c953e64737abf25d515ae8ebe2a3cfdc3fd5 | /Pipeline/preprocess.py | 56256988fa10128c5159b0c7e34b11f2e8b59c63 | [] | no_license | NickHMC/LANL_2019_Clinic | e43048a57b3f2ea6832032ab87a22f82020b9835 | 754ceb7dff4444038782cdeb3fb0403778450e2c | refs/heads/master | 2020-07-21T11:40:42.554265 | 2020-05-08T22:25:07 | 2020-05-08T22:25:07 | 206,852,560 | 1 | 4 | null | 2020-05-12T06:05:48 | 2019-09-06T18:30:18 | Python | UTF-8 | Python | false | false | 1,732 | py | #!/usr/bin/env python3
# coding:utf-8
"""
Author: LANL Clinic 2019 --<[email protected]>
Purpose: Process a set of .dig files
Created: 04/28/20
Routines to act prior to running pipelines
"""
from ProcessingAlgorithms.preprocess.digfile import DigFile
from ProcessingAlgorithms.preprocess.fiducials import Fiducials
from ProcessingAlgorithms.preprocess.evenSplit import splitIntoEvenFrames
from re import Pattern
from os.path import join
def segment(inc_regex: Pattern, ex_regex: Pattern, **kwargs):
"""
Process any files that need to be separated into
segments, consistent with the include and exclude
regular expressions. If the keyword argument
'force' is True, then files that already have
been segmented are resegmented.
"""
force = kwargs.get('force', False)
for dfname in DigFile.all_dig_files():
# is this name consistent with the patterns?
if not inc_regex.search(dfname):
continue
if ex_regex and ex_regex.search(dfname):
continue
df = DigFile(join(DigFile.dig_dir(), dfname))
if not df.is_segment:
n = df.has_segments
if n > 0 and not force:
continue
# Now attempt to segment
fids = Fiducials(df)
splits = fids.values
if len(splits):
fids.split()
print(f"Split {df.filename} into {len(splits)} segments using Fiducials")
continue
# If that didn't work, what else do we want to try?
dt = kwargs.get('frame_length', 50e-6) # 50 µs
splitIntoEvenFrames(df, timeBetweenFrames=dt)
print(f"Split {df.filename} into even frames")
| [
"[email protected]"
] | |
b769da4fde64db30f89bd244db93a6012528c650 | b8630509b97621ddc3bbeaef8d1cd54ff77b3dde | /myvenv/lib/python3.5/site-packages/setuptools/command/sdist.py | d37c1e1dc8dc0bc7093e506186a3f9068bed2903 | [] | no_license | ChibaUnppluged/BandMaker-ogi | c4080204d63495fed42e26306663e06df8ffb373 | 68a4a6eceb3f385b97afe8741fc538216800f893 | refs/heads/master | 2021-01-01T04:29:28.436614 | 2017-10-20T16:30:00 | 2017-10-20T16:30:00 | 97,184,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,065 | py | # coding:utf-8
from glob import glob
from distutils import log
import distutils.command.sdist as orig
import os
import sys
import io
from setuptools.extern import six
from setuptools.utils import cs_path_exists
import pkg_resources
READMES = 'README', 'README.rst', 'README.txt'
_default_revctrl = list
def walk_revctrl(dirname=''):
"""Find all files under revision control"""
for ep in pkg_resources.iter_entry_points('setuptools.file_finders'):
for item in ep.load()(dirname):
yield item
class sdist(orig.sdist):
"""Smart sdist that finds anything supported by revision control"""
user_options = [
('formats=', None,
"formats for source distribution (comma-separated list)"),
('keep-temp', 'k',
"keep the distribution tree around after creating " +
"archive file(s)"),
('dist-dir=', 'd',
"directory to put the source distribution archive(s) in "
"[default: dist]"),
]
negative_opt = {}
def run(self):
self.run_command('egg_info')
ei_cmd = self.get_finalized_command('egg_info')
self.filelist = ei_cmd.filelist
self.filelist.append(os.path.join(ei_cmd.egg_info, 'SOURCES.txt'))
self.check_readme()
# Run sub commands
for cmd_name in self.get_sub_commands():
self.run_command(cmd_name)
# Call check_metadata only if no 'check' command
# (distutils <= 2.6)
import distutils.command
if 'check' not in distutils.command.__all__:
self.check_metadata()
self.make_distribution()
dist_files = getattr(self.distribution, 'dist_files', [])
for file in self.archive_files:
data = ('sdist', '', file)
if data not in dist_files:
dist_files.append(data)
def __read_template_hack(self):
# This grody hack closes the template file (MANIFEST.in) if an
# exception occurs during read_template.
# Doing so prevents an error when easy_install attempts to delete the
# file.
try:
orig.sdist.read_template(self)
except:
_, _, tb = sys.exc_info()
tb.tb_next.tb_frame.f_locals['template'].close()
raise
# Beginning with Python 2.7.2, 3.1.4, and 3.2.1, this leaky file handle
# has been fixed, so only override the method if we're using an earlier
# Python.
has_leaky_handle = (
sys.version_info < (2, 7, 2)
or (3, 0) <= sys.version_info < (3, 1, 4)
or (3, 2) <= sys.version_info < (3, 2, 1)
)
if has_leaky_handle:
read_template = __read_template_hack
def add_defaults(self):
standards = [READMES,
self.distribution.script_name]
for fn in standards:
if isinstance(fn, tuple):
alts = fn
got_it = 0
for fn in alts:
if cs_path_exists(fn):
got_it = 1
self.filelist.append(fn)
break
if not got_it:
self.warn("standard file not found: should have one of " +
', '.join(alts))
else:
if cs_path_exists(fn):
self.filelist.append(fn)
else:
self.warn("standard file '%s' not found" % fn)
optional = ['test/test*.py', 'setup.cfg']
for pattern in optional:
files = list(filter(cs_path_exists, glob(pattern)))
if files:
self.filelist.extend(files)
# getting python files
if self.distribution.has_pure_modules():
build_py = self.get_finalized_command('build_py')
self.filelist.extend(build_py.get_source_files())
# This functionality is incompatible with include_package_data, and
# will in fact create an infinite recursion if include_package_data
# is True. Use of include_package_data will imply that
# distutils-style automatic handling of package_data is disabled
if not self.distribution.include_package_data:
for _, src_dir, _, filenames in build_py.data_files:
self.filelist.extend([os.path.join(src_dir, filename)
for filename in filenames])
if self.distribution.has_ext_modules():
build_ext = self.get_finalized_command('build_ext')
self.filelist.extend(build_ext.get_source_files())
if self.distribution.has_c_libraries():
build_clib = self.get_finalized_command('build_clib')
self.filelist.extend(build_clib.get_source_files())
if self.distribution.has_scripts():
build_scripts = self.get_finalized_command('build_scripts')
self.filelist.extend(build_scripts.get_source_files())
def check_readme(self):
for f in READMES:
if os.path.exists(f):
return
else:
self.warn(
"standard file not found: should have one of " +
', '.join(READMES)
)
def make_release_tree(self, base_dir, files):
orig.sdist.make_release_tree(self, base_dir, files)
# Save any egg_info command line options used to create this sdist
dest = os.path.join(base_dir, 'setup.cfg')
if hasattr(os, 'link') and os.path.exists(dest):
# unlink and re-copy, since it might be hard-linked, and
# we don't want to change the source version
os.unlink(dest)
self.copy_file('setup.cfg', dest)
self.get_finalized_command('egg_info').save_version_info(dest)
def _manifest_is_not_generated(self):
# check for special comment used in 2.7.1 and higher
if not os.path.isfile(self.manifest):
return False
with io.open(self.manifest, 'rb') as fp:
first_line = fp.readline()
return (first_line !=
'# file GENERATED by distutils, do NOT edit\n'.encode())
def read_manifest(self):
"""Read the manifest file (named by 'self.manifest') and use it to
fill in 'self.filelist', the list of files to include in the source
distribution.
"""
log.info("reading manifest file '%s'", self.manifest)
manifest = open(self.manifest, 'rbU')
for line in manifest:
# The manifest must contain UTF-8. See #303.
if six.PY3:
try:
line = line.decode('UTF-8')
except UnicodeDecodeError:
log.warn("%r not UTF-8 decodable -- skipping" % line)
continue
# ignore comments and blank lines
line = line.strip()
if line.startswith('#') or not line:
continue
self.filelist.append(line)
manifest.close()
| [
"[email protected]"
] | |
7e1dce8ba9afeef64c45a65b4492563e0dfc704f | b8c4046bee23d64a13d3a7bfec689c6418c7f4dc | /metarepo/commands/list_cmd.py | c55586b759288a579efd171f2a1413c5b515d23f | [] | no_license | borysbabii/git-metarepo | 1087655b331944ae6dc11bcd75424778ccaf3b7f | 1682f21a87dd18457baee0b95fc8f0f6773e86e9 | refs/heads/master | 2023-07-12T22:56:37.788217 | 2020-09-17T19:09:41 | 2020-09-17T19:09:41 | 401,677,390 | 0 | 0 | null | 2021-08-31T20:36:59 | 2021-08-31T11:25:54 | null | UTF-8 | Python | false | false | 427 | py | """List repositories command"""
import click
from metarepo import ui
from metarepo.cli_decorators import require_manifest
@click.command(name="list")
@require_manifest
def list_repos(manifest, _):
"""List all configured repositories"""
repos = manifest.get_repos()
ui.info(f"Listing {len(repos)} configured repositories")
for repo in manifest.get_repos():
ui.item(f"{repo.path}", ("uri", repo.url))
| [
"[email protected]"
] |
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